what are the different ways of data presentation

10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2024

Leah Nguyen • 05 April, 2024 • 13 min read

There are different ways of presenting data, so which one is suited you the most? You can end deathly boring and ineffective data presentation right now with our 10 methods of data presentation . Check out the examples from each technique!

Have you ever presented a data report to your boss/coworkers/teachers thinking it was super dope like you’re some cyber hacker living in the Matrix, but all they saw was a pile of static numbers that seemed pointless and didn't make sense to them?

Understanding digits is rigid . Making people from non-analytical backgrounds understand those digits is even more challenging.

How can you clear up those confusing numbers in the types of presentation that have the flawless clarity of a diamond? So, let's check out best way to present data. 💎

Table of Contents

• What are Methods of Data Presentations?
• #1 - Tabular

#3 - Pie chart

#4 - bar chart, #5 - histogram, #6 - line graph, #7 - pictogram graph, #8 - radar chart, #9 - heat map, #10 - scatter plot.

• 5 Mistakes to Avoid
• Best Method of Data Presentation

Frequently Asked Questions

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What are Methods of Data Presentation?

The term ’data presentation’ relates to the way you present data in a way that makes even the most clueless person in the room understand. 

Some say it’s witchcraft (you’re manipulating the numbers in some ways), but we’ll just say it’s the power of turning dry, hard numbers or digits into a visual showcase that is easy for people to digest.

Presenting data correctly can help your audience understand complicated processes, identify trends, and instantly pinpoint whatever is going on without exhausting their brains.

Good data presentation helps…

• Make informed decisions and arrive at positive outcomes . If you see the sales of your product steadily increase throughout the years, it’s best to keep milking it or start turning it into a bunch of spin-offs (shoutout to Star Wars👀).
• Reduce the time spent processing data . Humans can digest information graphically 60,000 times faster than in the form of text. Grant them the power of skimming through a decade of data in minutes with some extra spicy graphs and charts.
• Communicate the results clearly . Data does not lie. They’re based on factual evidence and therefore if anyone keeps whining that you might be wrong, slap them with some hard data to keep their mouths shut.
• Add to or expand the current research . You can see what areas need improvement, as well as what details often go unnoticed while surfing through those little lines, dots or icons that appear on the data board.

Methods of Data Presentation and Examples

Imagine you have a delicious pepperoni, extra-cheese pizza. You can decide to cut it into the classic 8 triangle slices, the party style 12 square slices, or get creative and abstract on those slices. 

There are various ways for cutting a pizza and you get the same variety with how you present your data. In this section, we will bring you the 10 ways to slice a pizza - we mean to present your data - that will make your company’s most important asset as clear as day. Let's dive into 10 ways to present data efficiently.

#1 - Tabular 

Among various types of data presentation, tabular is the most fundamental method, with data presented in rows and columns. Excel or Google Sheets would qualify for the job. Nothing fancy.

This is an example of a tabular presentation of data on Google Sheets. Each row and column has an attribute (year, region, revenue, etc.), and you can do a custom format to see the change in revenue throughout the year.

When presenting data as text, all you do is write your findings down in paragraphs and bullet points, and that’s it. A piece of cake to you, a tough nut to crack for whoever has to go through all of the reading to get to the point.

• 65% of email users worldwide access their email via a mobile device.
• Emails that are optimised for mobile generate 15% higher click-through rates.
• 56% of brands using emojis in their email subject lines had a higher open rate.

(Source: CustomerThermometer )

All the above quotes present statistical information in textual form. Since not many people like going through a wall of texts, you’ll have to figure out another route when deciding to use this method, such as breaking the data down into short, clear statements, or even as catchy puns if you’ve got the time to think of them.

A pie chart (or a ‘donut chart’ if you stick a hole in the middle of it) is a circle divided into slices that show the relative sizes of data within a whole. If you’re using it to show percentages, make sure all the slices add up to 100%.

The pie chart is a familiar face at every party and is usually recognised by most people. However, one setback of using this method is our eyes sometimes can’t identify the differences in slices of a circle, and it’s nearly impossible to compare similar slices from two different pie charts, making them the villains in the eyes of data analysts.

Bonus example: A literal ‘pie’ chart! 🥧

The bar chart is a chart that presents a bunch of items from the same category, usually in the form of rectangular bars that are placed at an equal distance from each other. Their heights or lengths depict the values they represent.

They can be as simple as this:

Or more complex and detailed like this example of presentation of data. Contributing to an effective statistic presentation, this one is a grouped bar chart that not only allows you to compare categories but also the groups within them as well.

Similar in appearance to the bar chart but the rectangular bars in histograms don’t often have the gap like their counterparts.

Instead of measuring categories like weather preferences or favourite films as a bar chart does, a histogram only measures things that can be put into numbers.

Teachers can use presentation graphs like a histogram to see which score group most of the students fall into, like in this example above.

Recordings to ways of displaying data, we shouldn't overlook the effectiveness of line graphs. Line graphs are represented by a group of data points joined together by a straight line. There can be one or more lines to compare how several related things change over time. 

On a line chart’s horizontal axis, you usually have text labels, dates or years, while the vertical axis usually represents the quantity (e.g.: budget, temperature or percentage).

A pictogram graph uses pictures or icons relating to the main topic to visualise a small dataset. The fun combination of colours and illustrations makes it a frequent use at schools.

Pictograms are a breath of fresh air if you want to stay away from the monotonous line chart or bar chart for a while. However, they can present a very limited amount of data and sometimes they are only there for displays and do not represent real statistics.

If presenting five or more variables in the form of a bar chart is too stuffy then you should try using a radar chart, which is one of the most creative ways to present data.

Radar charts show data in terms of how they compare to each other starting from the same point. Some also call them ‘spider charts’ because each aspect combined looks like a spider web.

Radar charts can be a great use for parents who’d like to compare their child’s grades with their peers to lower their self-esteem. You can see that each angular represents a subject with a score value ranging from 0 to 100. Each student’s score across 5 subjects is highlighted in a different colour.

If you think that this method of data presentation somehow feels familiar, then you’ve probably encountered one while playing Pokémon .

A heat map represents data density in colours. The bigger the number, the more colour intense that data will be represented.

Most U.S citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.

Another great thing you can use a heat map for is to map what visitors to your site click on. The more a particular section is clicked the ‘hotter’ the colour will turn, from blue to bright yellow to red.

If you present your data in dots instead of chunky bars, you’ll have a scatter plot. 

A scatter plot is a grid with several inputs showing the relationship between two variables. It’s good at collecting seemingly random data and revealing some telling trends.

For example, in this graph, each dot shows the average daily temperature versus the number of beach visitors across several days. You can see that the dots get higher as the temperature increases, so it’s likely that hotter weather leads to more visitors.

5 Data Presentation Mistakes to Avoid

#1 - assume your audience understands what the numbers represent.

You may know all the behind-the-scenes of your data since you’ve worked with them for weeks, but your audience doesn’t.

Showing without telling only invites more and more questions from your audience, as they have to constantly make sense of your data, wasting the time of both sides as a result.

While showing your data presentations, you should tell them what the data are about before hitting them with waves of numbers first. You can use interactive activities such as polls , word clouds , online quiz and Q&A sections , combined with icebreaker games , to assess their understanding of the data and address any confusion beforehand.

#2 - Use the wrong type of chart

Charts such as pie charts must have a total of 100% so if your numbers accumulate to 193% like this example below, you’re definitely doing it wrong.

Before making a chart, ask yourself: what do I want to accomplish with my data? Do you want to see the relationship between the data sets, show the up and down trends of your data, or see how segments of one thing make up a whole?

Remember, clarity always comes first. Some data visualisations may look cool, but if they don’t fit your data, steer clear of them. 

#3 - Make it 3D

3D is a fascinating graphical presentation example. The third dimension is cool, but full of risks.

Can you see what’s behind those red bars? Because we can’t either. You may think that 3D charts add more depth to the design, but they can create false perceptions as our eyes see 3D objects closer and bigger than they appear, not to mention they cannot be seen from multiple angles.

#4 - Use different types of charts to compare contents in the same category

This is like comparing a fish to a monkey. Your audience won’t be able to identify the differences and make an appropriate correlation between the two data sets. 

Next time, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in one go and make your data as accessible as possible.

#5 - Bombard the audience with too much information

The goal of data presentation is to make complex topics much easier to understand, and if you’re bringing too much information to the table, you’re missing the point.

The more information you give, the more time it will take for your audience to process it all. If you want to make your data understandable and give your audience a chance to remember it, keep the information within it to an absolute minimum. You should set your session with open-ended questions , to avoid dead-communication!

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

There is none 😄 Each type of presentation has its own strengths and weaknesses and the one you choose greatly depends on what you’re trying to do. 

For example:

• Go for a scatter plot if you’re exploring the relationship between different data values, like seeing whether the sales of ice cream go up because of the temperature or because people are just getting more hungry and greedy each day?
• Go for a line graph if you want to mark a trend over time. 
• Go for a heat map if you like some fancy visualisation of the changes in a geographical location, or to see your visitors' behaviour on your website.
• Go for a pie chart (especially in 3D) if you want to be shunned by others because it was never a good idea👇

What is chart presentation?

A chart presentation is a way of presenting data or information using visual aids such as charts, graphs, and diagrams. The purpose of a chart presentation is to make complex information more accessible and understandable for the audience.

When can I use charts for presentation?

Charts can be used to compare data, show trends over time, highlight patterns, and simplify complex information.

Why should use charts for presentation?

You should use charts to ensure your contents and visual look clean, as they are the visual representative, provide clarity, simplicity, comparison, contrast and super time-saving!

What are the 4 graphical methods of presenting data?

Histogram, Smoothed frequency graph, Pie diagram or Pie chart, Cumulative or ogive frequency graph, and Frequency Polygon.

Leah Nguyen

Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.

Tips to Engage with Polls & Trivia

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Home Blog Design Understanding Data Presentations (Guide + Examples)

Understanding Data Presentations (Guide + Examples)

In this age of overwhelming information, the skill to effectively convey data has become extremely valuable. Initiating a discussion on data presentation types involves thoughtful consideration of the nature of your data and the message you aim to convey. Different types of visualizations serve distinct purposes. Whether you’re dealing with how to develop a report or simply trying to communicate complex information, how you present data influences how well your audience understands and engages with it. This extensive guide leads you through the different ways of data presentation.

Table of Contents

What is a Data Presentation?

What should a data presentation include, line graphs, treemap chart, scatter plot, how to choose a data presentation type, recommended data presentation templates, common mistakes done in data presentation.

A data presentation is a slide deck that aims to disclose quantitative information to an audience through the use of visual formats and narrative techniques derived from data analysis, making complex data understandable and actionable. This process requires a series of tools, such as charts, graphs, tables, infographics, dashboards, and so on, supported by concise textual explanations to improve understanding and boost retention rate.

Data presentations require us to cull data in a format that allows the presenter to highlight trends, patterns, and insights so that the audience can act upon the shared information. In a few words, the goal of data presentations is to enable viewers to grasp complicated concepts or trends quickly, facilitating informed decision-making or deeper analysis.

Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of data storytelling , so the speech skillfully connects the points through a narrative that resonates with the audience. Depending on the purpose – inspire, persuade, inform, support decision-making processes, etc. – is the data presentation format that is better suited to help us in this journey.

To nail your upcoming data presentation, ensure to count with the following elements:

• Clear Objectives: Understand the intent of your presentation before selecting the graphical layout and metaphors to make content easier to grasp.
• Engaging introduction: Use a powerful hook from the get-go. For instance, you can ask a big question or present a problem that your data will answer. Take a look at our guide on how to start a presentation for tips & insights.
• Structured Narrative: Your data presentation must tell a coherent story. This means a beginning where you present the context, a middle section in which you present the data, and an ending that uses a call-to-action. Check our guide on presentation structure for further information.
• Visual Elements: These are the charts, graphs, and other elements of visual communication we ought to use to present data. This article will cover one by one the different types of data representation methods we can use, and provide further guidance on choosing between them.
• Insights and Analysis: This is not just showcasing a graph and letting people get an idea about it. A proper data presentation includes the interpretation of that data, the reason why it’s included, and why it matters to your research.
• Conclusion & CTA: Ending your presentation with a call to action is necessary. Whether you intend to wow your audience into acquiring your services, inspire them to change the world, or whatever the purpose of your presentation, there must be a stage in which you convey all that you shared and show the path to staying in touch. Plan ahead whether you want to use a thank-you slide, a video presentation, or which method is apt and tailored to the kind of presentation you deliver.
• Q&A Session: After your speech is concluded, allocate 3-5 minutes for the audience to raise any questions about the information you disclosed. This is an extra chance to establish your authority on the topic. Check our guide on questions and answer sessions in presentations here.

Bar charts are a graphical representation of data using rectangular bars to show quantities or frequencies in an established category. They make it easy for readers to spot patterns or trends. Bar charts can be horizontal or vertical, although the vertical format is commonly known as a column chart. They display categorical, discrete, or continuous variables grouped in class intervals [1] . They include an axis and a set of labeled bars horizontally or vertically. These bars represent the frequencies of variable values or the values themselves. Numbers on the y-axis of a vertical bar chart or the x-axis of a horizontal bar chart are called the scale.

Real-Life Application of Bar Charts

Let’s say a sales manager is presenting sales to their audience. Using a bar chart, he follows these steps.

Step 1: Selecting Data

The first step is to identify the specific data you will present to your audience.

The sales manager has highlighted these products for the presentation.

• Product A: Men’s Shoes
• Product B: Women’s Apparel
• Product C: Electronics
• Product D: Home Decor

Step 2: Choosing Orientation

Opt for a vertical layout for simplicity. Vertical bar charts help compare different categories in case there are not too many categories [1] . They can also help show different trends. A vertical bar chart is used where each bar represents one of the four chosen products. After plotting the data, it is seen that the height of each bar directly represents the sales performance of the respective product.

It is visible that the tallest bar (Electronics – Product C) is showing the highest sales. However, the shorter bars (Women’s Apparel – Product B and Home Decor – Product D) need attention. It indicates areas that require further analysis or strategies for improvement.

Step 3: Colorful Insights

Different colors are used to differentiate each product. It is essential to show a color-coded chart where the audience can distinguish between products.

• Men’s Shoes (Product A): Yellow
• Women’s Apparel (Product B): Orange
• Electronics (Product C): Violet
• Home Decor (Product D): Blue

Bar charts are straightforward and easily understandable for presenting data. They are versatile when comparing products or any categorical data [2] . Bar charts adapt seamlessly to retail scenarios. Despite that, bar charts have a few shortcomings. They cannot illustrate data trends over time. Besides, overloading the chart with numerous products can lead to visual clutter, diminishing its effectiveness.

For more information, check our collection of bar chart templates for PowerPoint .

Line graphs help illustrate data trends, progressions, or fluctuations by connecting a series of data points called ‘markers’ with straight line segments. This provides a straightforward representation of how values change [5] . Their versatility makes them invaluable for scenarios requiring a visual understanding of continuous data. In addition, line graphs are also useful for comparing multiple datasets over the same timeline. Using multiple line graphs allows us to compare more than one data set. They simplify complex information so the audience can quickly grasp the ups and downs of values. From tracking stock prices to analyzing experimental results, you can use line graphs to show how data changes over a continuous timeline. They show trends with simplicity and clarity.

Real-life Application of Line Graphs

To understand line graphs thoroughly, we will use a real case. Imagine you’re a financial analyst presenting a tech company’s monthly sales for a licensed product over the past year. Investors want insights into sales behavior by month, how market trends may have influenced sales performance and reception to the new pricing strategy. To present data via a line graph, you will complete these steps.

First, you need to gather the data. In this case, your data will be the sales numbers. For example:

• January: $45,000
• February: $55,000
• March: $45,000
• April: $60,000
• May: $ 70,000
• June: $65,000
• July: $62,000
• August: $68,000
• September: $81,000
• October: $76,000
• November: $87,000
• December: $91,000

After choosing the data, the next step is to select the orientation. Like bar charts, you can use vertical or horizontal line graphs. However, we want to keep this simple, so we will keep the timeline (x-axis) horizontal while the sales numbers (y-axis) vertical.

Step 3: Connecting Trends

After adding the data to your preferred software, you will plot a line graph. In the graph, each month’s sales are represented by data points connected by a line.

Step 4: Adding Clarity with Color

If there are multiple lines, you can also add colors to highlight each one, making it easier to follow.

Line graphs excel at visually presenting trends over time. These presentation aids identify patterns, like upward or downward trends. However, too many data points can clutter the graph, making it harder to interpret. Line graphs work best with continuous data but are not suitable for categories.

For more information, check our collection of line chart templates for PowerPoint and our article about how to make a presentation graph .

A data dashboard is a visual tool for analyzing information. Different graphs, charts, and tables are consolidated in a layout to showcase the information required to achieve one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs). You don’t make new visuals in the dashboard; instead, you use it to display visuals you’ve already made in worksheets [3] .

Keeping the number of visuals on a dashboard to three or four is recommended. Adding too many can make it hard to see the main points [4]. Dashboards can be used for business analytics to analyze sales, revenue, and marketing metrics at a time. They are also used in the manufacturing industry, as they allow users to grasp the entire production scenario at the moment while tracking the core KPIs for each line.

Real-Life Application of a Dashboard

Consider a project manager presenting a software development project’s progress to a tech company’s leadership team. He follows the following steps.

Step 1: Defining Key Metrics

To effectively communicate the project’s status, identify key metrics such as completion status, budget, and bug resolution rates. Then, choose measurable metrics aligned with project objectives.

Step 2: Choosing Visualization Widgets

After finalizing the data, presentation aids that align with each metric are selected. For this project, the project manager chooses a progress bar for the completion status and uses bar charts for budget allocation. Likewise, he implements line charts for bug resolution rates.

Step 3: Dashboard Layout

Key metrics are prominently placed in the dashboard for easy visibility, and the manager ensures that it appears clean and organized.

Dashboards provide a comprehensive view of key project metrics. Users can interact with data, customize views, and drill down for detailed analysis. However, creating an effective dashboard requires careful planning to avoid clutter. Besides, dashboards rely on the availability and accuracy of underlying data sources.

For more information, check our article on how to design a dashboard presentation , and discover our collection of dashboard PowerPoint templates .

Treemap charts represent hierarchical data structured in a series of nested rectangles [6] . As each branch of the ‘tree’ is given a rectangle, smaller tiles can be seen representing sub-branches, meaning elements on a lower hierarchical level than the parent rectangle. Each one of those rectangular nodes is built by representing an area proportional to the specified data dimension.

Treemaps are useful for visualizing large datasets in compact space. It is easy to identify patterns, such as which categories are dominant. Common applications of the treemap chart are seen in the IT industry, such as resource allocation, disk space management, website analytics, etc. Also, they can be used in multiple industries like healthcare data analysis, market share across different product categories, or even in finance to visualize portfolios.

Real-Life Application of a Treemap Chart

Let’s consider a financial scenario where a financial team wants to represent the budget allocation of a company. There is a hierarchy in the process, so it is helpful to use a treemap chart. In the chart, the top-level rectangle could represent the total budget, and it would be subdivided into smaller rectangles, each denoting a specific department. Further subdivisions within these smaller rectangles might represent individual projects or cost categories.

Step 1: Define Your Data Hierarchy

While presenting data on the budget allocation, start by outlining the hierarchical structure. The sequence will be like the overall budget at the top, followed by departments, projects within each department, and finally, individual cost categories for each project.

• Top-level rectangle: Total Budget
• Second-level rectangles: Departments (Engineering, Marketing, Sales)
• Third-level rectangles: Projects within each department
• Fourth-level rectangles: Cost categories for each project (Personnel, Marketing Expenses, Equipment)

Step 2: Choose a Suitable Tool

It’s time to select a data visualization tool supporting Treemaps. Popular choices include Tableau, Microsoft Power BI, PowerPoint, or even coding with libraries like D3.js. It is vital to ensure that the chosen tool provides customization options for colors, labels, and hierarchical structures.

Here, the team uses PowerPoint for this guide because of its user-friendly interface and robust Treemap capabilities.

Step 3: Make a Treemap Chart with PowerPoint

After opening the PowerPoint presentation, they chose “SmartArt” to form the chart. The SmartArt Graphic window has a “Hierarchy” category on the left.  Here, you will see multiple options. You can choose any layout that resembles a Treemap. The “Table Hierarchy” or “Organization Chart” options can be adapted. The team selects the Table Hierarchy as it looks close to a Treemap.

Step 5: Input Your Data

After that, a new window will open with a basic structure. They add the data one by one by clicking on the text boxes. They start with the top-level rectangle, representing the total budget.  

Step 6: Customize the Treemap

By clicking on each shape, they customize its color, size, and label. At the same time, they can adjust the font size, style, and color of labels by using the options in the “Format” tab in PowerPoint. Using different colors for each level enhances the visual difference.

Treemaps excel at illustrating hierarchical structures. These charts make it easy to understand relationships and dependencies. They efficiently use space, compactly displaying a large amount of data, reducing the need for excessive scrolling or navigation. Additionally, using colors enhances the understanding of data by representing different variables or categories.

In some cases, treemaps might become complex, especially with deep hierarchies.  It becomes challenging for some users to interpret the chart. At the same time, displaying detailed information within each rectangle might be constrained by space. It potentially limits the amount of data that can be shown clearly. Without proper labeling and color coding, there’s a risk of misinterpretation.

A heatmap is a data visualization tool that uses color coding to represent values across a two-dimensional surface. In these, colors replace numbers to indicate the magnitude of each cell. This color-shaded matrix display is valuable for summarizing and understanding data sets with a glance [7] . The intensity of the color corresponds to the value it represents, making it easy to identify patterns, trends, and variations in the data.

As a tool, heatmaps help businesses analyze website interactions, revealing user behavior patterns and preferences to enhance overall user experience. In addition, companies use heatmaps to assess content engagement, identifying popular sections and areas of improvement for more effective communication. They excel at highlighting patterns and trends in large datasets, making it easy to identify areas of interest.

We can implement heatmaps to express multiple data types, such as numerical values, percentages, or even categorical data. Heatmaps help us easily spot areas with lots of activity, making them helpful in figuring out clusters [8] . When making these maps, it is important to pick colors carefully. The colors need to show the differences between groups or levels of something. And it is good to use colors that people with colorblindness can easily see.

Check our detailed guide on how to create a heatmap here. Also discover our collection of heatmap PowerPoint templates .

Pie charts are circular statistical graphics divided into slices to illustrate numerical proportions. Each slice represents a proportionate part of the whole, making it easy to visualize the contribution of each component to the total.

The size of the pie charts is influenced by the value of data points within each pie. The total of all data points in a pie determines its size. The pie with the highest data points appears as the largest, whereas the others are proportionally smaller. However, you can present all pies of the same size if proportional representation is not required [9] . Sometimes, pie charts are difficult to read, or additional information is required. A variation of this tool can be used instead, known as the donut chart , which has the same structure but a blank center, creating a ring shape. Presenters can add extra information, and the ring shape helps to declutter the graph.

Pie charts are used in business to show percentage distribution, compare relative sizes of categories, or present straightforward data sets where visualizing ratios is essential.

Real-Life Application of Pie Charts

Consider a scenario where you want to represent the distribution of the data. Each slice of the pie chart would represent a different category, and the size of each slice would indicate the percentage of the total portion allocated to that category.

Step 1: Define Your Data Structure

Imagine you are presenting the distribution of a project budget among different expense categories.

• Column A: Expense Categories (Personnel, Equipment, Marketing, Miscellaneous)
• Column B: Budget Amounts ($40,000, $30,000, $20,000, $10,000) Column B represents the values of your categories in Column A.

Step 2: Insert a Pie Chart

Using any of the accessible tools, you can create a pie chart. The most convenient tools for forming a pie chart in a presentation are presentation tools such as PowerPoint or Google Slides.  You will notice that the pie chart assigns each expense category a percentage of the total budget by dividing it by the total budget.

For instance:

• Personnel: $40,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 40%
• Equipment: $30,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 30%
• Marketing: $20,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 20%
• Miscellaneous: $10,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 10%

You can make a chart out of this or just pull out the pie chart from the data.

3D pie charts and 3D donut charts are quite popular among the audience. They stand out as visual elements in any presentation slide, so let’s take a look at how our pie chart example would look in 3D pie chart format.

Step 03: Results Interpretation

The pie chart visually illustrates the distribution of the project budget among different expense categories. Personnel constitutes the largest portion at 40%, followed by equipment at 30%, marketing at 20%, and miscellaneous at 10%. This breakdown provides a clear overview of where the project funds are allocated, which helps in informed decision-making and resource management. It is evident that personnel are a significant investment, emphasizing their importance in the overall project budget.

Pie charts provide a straightforward way to represent proportions and percentages. They are easy to understand, even for individuals with limited data analysis experience. These charts work well for small datasets with a limited number of categories.

However, a pie chart can become cluttered and less effective in situations with many categories. Accurate interpretation may be challenging, especially when dealing with slight differences in slice sizes. In addition, these charts are static and do not effectively convey trends over time.

For more information, check our collection of pie chart templates for PowerPoint .

Histograms present the distribution of numerical variables. Unlike a bar chart that records each unique response separately, histograms organize numeric responses into bins and show the frequency of reactions within each bin [10] . The x-axis of a histogram shows the range of values for a numeric variable. At the same time, the y-axis indicates the relative frequencies (percentage of the total counts) for that range of values.

Whenever you want to understand the distribution of your data, check which values are more common, or identify outliers, histograms are your go-to. Think of them as a spotlight on the story your data is telling. A histogram can provide a quick and insightful overview if you’re curious about exam scores, sales figures, or any numerical data distribution.

Real-Life Application of a Histogram

In the histogram data analysis presentation example, imagine an instructor analyzing a class’s grades to identify the most common score range. A histogram could effectively display the distribution. It will show whether most students scored in the average range or if there are significant outliers.

Step 1: Gather Data

He begins by gathering the data. The scores of each student in class are gathered to analyze exam scores.

After arranging the scores in ascending order, bin ranges are set.

Step 2: Define Bins

Bins are like categories that group similar values. Think of them as buckets that organize your data. The presenter decides how wide each bin should be based on the range of the values. For instance, the instructor sets the bin ranges based on score intervals: 60-69, 70-79, 80-89, and 90-100.

Step 3: Count Frequency

Now, he counts how many data points fall into each bin. This step is crucial because it tells you how often specific ranges of values occur. The result is the frequency distribution, showing the occurrences of each group.

Here, the instructor counts the number of students in each category.

• 60-69: 1 student (Kate)
• 70-79: 4 students (David, Emma, Grace, Jack)
• 80-89: 7 students (Alice, Bob, Frank, Isabel, Liam, Mia, Noah)
• 90-100: 3 students (Clara, Henry, Olivia)

Step 4: Create the Histogram

It’s time to turn the data into a visual representation. Draw a bar for each bin on a graph. The width of the bar should correspond to the range of the bin, and the height should correspond to the frequency.  To make your histogram understandable, label the X and Y axes.

In this case, the X-axis should represent the bins (e.g., test score ranges), and the Y-axis represents the frequency.

The histogram of the class grades reveals insightful patterns in the distribution. Most students, with seven students, fall within the 80-89 score range. The histogram provides a clear visualization of the class’s performance. It showcases a concentration of grades in the upper-middle range with few outliers at both ends. This analysis helps in understanding the overall academic standing of the class. It also identifies the areas for potential improvement or recognition.

Thus, histograms provide a clear visual representation of data distribution. They are easy to interpret, even for those without a statistical background. They apply to various types of data, including continuous and discrete variables. One weak point is that histograms do not capture detailed patterns in students’ data, with seven compared to other visualization methods.

A scatter plot is a graphical representation of the relationship between two variables. It consists of individual data points on a two-dimensional plane. This plane plots one variable on the x-axis and the other on the y-axis. Each point represents a unique observation. It visualizes patterns, trends, or correlations between the two variables.

Scatter plots are also effective in revealing the strength and direction of relationships. They identify outliers and assess the overall distribution of data points. The points’ dispersion and clustering reflect the relationship’s nature, whether it is positive, negative, or lacks a discernible pattern. In business, scatter plots assess relationships between variables such as marketing cost and sales revenue. They help present data correlations and decision-making.

Real-Life Application of Scatter Plot

A group of scientists is conducting a study on the relationship between daily hours of screen time and sleep quality. After reviewing the data, they managed to create this table to help them build a scatter plot graph:

In the provided example, the x-axis represents Daily Hours of Screen Time, and the y-axis represents the Sleep Quality Rating.

The scientists observe a negative correlation between the amount of screen time and the quality of sleep. This is consistent with their hypothesis that blue light, especially before bedtime, has a significant impact on sleep quality and metabolic processes.

There are a few things to remember when using a scatter plot. Even when a scatter diagram indicates a relationship, it doesn’t mean one variable affects the other. A third factor can influence both variables. The more the plot resembles a straight line, the stronger the relationship is perceived [11] . If it suggests no ties, the observed pattern might be due to random fluctuations in data. When the scatter diagram depicts no correlation, whether the data might be stratified is worth considering.

Choosing the appropriate data presentation type is crucial when making a presentation . Understanding the nature of your data and the message you intend to convey will guide this selection process. For instance, when showcasing quantitative relationships, scatter plots become instrumental in revealing correlations between variables. If the focus is on emphasizing parts of a whole, pie charts offer a concise display of proportions. Histograms, on the other hand, prove valuable for illustrating distributions and frequency patterns. 

Bar charts provide a clear visual comparison of different categories. Likewise, line charts excel in showcasing trends over time, while tables are ideal for detailed data examination. Starting a presentation on data presentation types involves evaluating the specific information you want to communicate and selecting the format that aligns with your message. This ensures clarity and resonance with your audience from the beginning of your presentation.

1. Fact Sheet Dashboard for Data Presentation

Convey all the data you need to present in this one-pager format, an ideal solution tailored for users looking for presentation aids. Global maps, donut chats, column graphs, and text neatly arranged in a clean layout presented in light and dark themes.

Use This Template

2. 3D Column Chart Infographic PPT Template

Represent column charts in a highly visual 3D format with this PPT template. A creative way to present data, this template is entirely editable, and we can craft either a one-page infographic or a series of slides explaining what we intend to disclose point by point.

3. Data Circles Infographic PowerPoint Template

An alternative to the pie chart and donut chart diagrams, this template features a series of curved shapes with bubble callouts as ways of presenting data. Expand the information for each arch in the text placeholder areas.

4. Colorful Metrics Dashboard for Data Presentation

This versatile dashboard template helps us in the presentation of the data by offering several graphs and methods to convert numbers into graphics. Implement it for e-commerce projects, financial projections, project development, and more.

5. Animated Data Presentation Tools for PowerPoint & Google Slides

A slide deck filled with most of the tools mentioned in this article, from bar charts, column charts, treemap graphs, pie charts, histogram, etc. Animated effects make each slide look dynamic when sharing data with stakeholders.

6. Statistics Waffle Charts PPT Template for Data Presentations

This PPT template helps us how to present data beyond the typical pie chart representation. It is widely used for demographics, so it’s a great fit for marketing teams, data science professionals, HR personnel, and more.

7. Data Presentation Dashboard Template for Google Slides

A compendium of tools in dashboard format featuring line graphs, bar charts, column charts, and neatly arranged placeholder text areas. 

8. Weather Dashboard for Data Presentation

Share weather data for agricultural presentation topics, environmental studies, or any kind of presentation that requires a highly visual layout for weather forecasting on a single day. Two color themes are available.

9. Social Media Marketing Dashboard Data Presentation Template

Intended for marketing professionals, this dashboard template for data presentation is a tool for presenting data analytics from social media channels. Two slide layouts featuring line graphs and column charts.

10. Project Management Summary Dashboard Template

A tool crafted for project managers to deliver highly visual reports on a project’s completion, the profits it delivered for the company, and expenses/time required to execute it. 4 different color layouts are available.

11. Profit & Loss Dashboard for PowerPoint and Google Slides

A must-have for finance professionals. This typical profit & loss dashboard includes progress bars, donut charts, column charts, line graphs, and everything that’s required to deliver a comprehensive report about a company’s financial situation.

Overwhelming visuals

One of the mistakes related to using data-presenting methods is including too much data or using overly complex visualizations. They can confuse the audience and dilute the key message.

Inappropriate chart types

Choosing the wrong type of chart for the data at hand can lead to misinterpretation. For example, using a pie chart for data that doesn’t represent parts of a whole is not right.

Lack of context

Failing to provide context or sufficient labeling can make it challenging for the audience to understand the significance of the presented data.

Inconsistency in design

Using inconsistent design elements and color schemes across different visualizations can create confusion and visual disarray.

Failure to provide details

Simply presenting raw data without offering clear insights or takeaways can leave the audience without a meaningful conclusion.

Lack of focus

Not having a clear focus on the key message or main takeaway can result in a presentation that lacks a central theme.

Visual accessibility issues

Overlooking the visual accessibility of charts and graphs can exclude certain audience members who may have difficulty interpreting visual information.

In order to avoid these mistakes in data presentation, presenters can benefit from using presentation templates . These templates provide a structured framework. They ensure consistency, clarity, and an aesthetically pleasing design, enhancing data communication’s overall impact.

Understanding and choosing data presentation types are pivotal in effective communication. Each method serves a unique purpose, so selecting the appropriate one depends on the nature of the data and the message to be conveyed. The diverse array of presentation types offers versatility in visually representing information, from bar charts showing values to pie charts illustrating proportions. 

Using the proper method enhances clarity, engages the audience, and ensures that data sets are not just presented but comprehensively understood. By appreciating the strengths and limitations of different presentation types, communicators can tailor their approach to convey information accurately, developing a deeper connection between data and audience understanding.

[1] Government of Canada, S.C. (2021) 5 Data Visualization 5.2 Bar Chart , 5.2 Bar chart .  https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/bargraph-diagrammeabarres/5214818-eng.htm

[2] Kosslyn, S.M., 1989. Understanding charts and graphs. Applied cognitive psychology, 3(3), pp.185-225. https://apps.dtic.mil/sti/pdfs/ADA183409.pdf

[3] Creating a Dashboard . https://it.tufts.edu/book/export/html/1870

[4] https://www.goldenwestcollege.edu/research/data-and-more/data-dashboards/index.html

[5] https://www.mit.edu/course/21/21.guide/grf-line.htm

[6] Jadeja, M. and Shah, K., 2015, January. Tree-Map: A Visualization Tool for Large Data. In GSB@ SIGIR (pp. 9-13). https://ceur-ws.org/Vol-1393/gsb15proceedings.pdf#page=15

[7] Heat Maps and Quilt Plots. https://www.publichealth.columbia.edu/research/population-health-methods/heat-maps-and-quilt-plots

[8] EIU QGIS WORKSHOP. https://www.eiu.edu/qgisworkshop/heatmaps.php

[9] About Pie Charts.  https://www.mit.edu/~mbarker/formula1/f1help/11-ch-c8.htm

[10] Histograms. https://sites.utexas.edu/sos/guided/descriptive/numericaldd/descriptiven2/histogram/ [11] https://asq.org/quality-resources/scatter-diagram

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

Data presentation today is no longer just about numbers on a screen; it’s storytelling with a purpose. It’s about captivating your audience, making complex stuff look simple and inspiring action. 

To help turn your data into stories that stick, influence decisions and make an impact, check out Venngage’s free chart maker or follow me on a tour into the world of data storytelling along with data presentation templates that work across different fields, from business boardrooms to the classroom and beyond. Keep scrolling to learn more! 

Click to jump ahead:

10 Essential data presentation examples + methods you should know

What should be included in a data presentation, what are some common mistakes to avoid when presenting data, faqs on data presentation examples, transform your message with impactful data storytelling.

Data presentation is a vital skill in today’s information-driven world. Whether you’re in business, academia, or simply want to convey information effectively, knowing the different ways of presenting data is crucial. For impactful data storytelling, consider these essential data presentation methods:

1. Bar graph

Ideal for comparing data across categories or showing trends over time.

Bar graphs, also known as bar charts are workhorses of data presentation. They’re like the Swiss Army knives of visualization methods because they can be used to compare data in different categories or display data changes over time. 

In a bar chart, categories are displayed on the x-axis and the corresponding values are represented by the height of the bars on the y-axis. 

It’s a straightforward and effective way to showcase raw data, making it a staple in business reports, academic presentations and beyond.

Make sure your bar charts are concise with easy-to-read labels. Whether your bars go up or sideways, keep it simple by not overloading with too many categories.

2. Line graph

Great for displaying trends and variations in data points over time or continuous variables.

Line charts or line graphs are your go-to when you want to visualize trends and variations in data sets over time.

One of the best quantitative data presentation examples, they work exceptionally well for showing continuous data, such as sales projections over the last couple of years or supply and demand fluctuations. 

The x-axis represents time or a continuous variable and the y-axis represents the data values. By connecting the data points with lines, you can easily spot trends and fluctuations.

A tip when presenting data with line charts is to minimize the lines and not make it too crowded. Highlight the big changes, put on some labels and give it a catchy title.

3. Pie chart

Useful for illustrating parts of a whole, such as percentages or proportions.

Pie charts are perfect for showing how a whole is divided into parts. They’re commonly used to represent percentages or proportions and are great for presenting survey results that involve demographic data. 

Each “slice” of the pie represents a portion of the whole and the size of each slice corresponds to its share of the total. 

While pie charts are handy for illustrating simple distributions, they can become confusing when dealing with too many categories or when the differences in proportions are subtle.

Don’t get too carried away with slices — label those slices with percentages or values so people know what’s what and consider using a legend for more categories.

4. Scatter plot

Effective for showing the relationship between two variables and identifying correlations.

Scatter plots are all about exploring relationships between two variables. They’re great for uncovering correlations, trends or patterns in data. 

In a scatter plot, every data point appears as a dot on the chart, with one variable marked on the horizontal x-axis and the other on the vertical y-axis.

By examining the scatter of points, you can discern the nature of the relationship between the variables, whether it’s positive, negative or no correlation at all.

If you’re using scatter plots to reveal relationships between two variables, be sure to add trendlines or regression analysis when appropriate to clarify patterns. Label data points selectively or provide tooltips for detailed information.

5. Histogram

Best for visualizing the distribution and frequency of a single variable.

Histograms are your choice when you want to understand the distribution and frequency of a single variable. 

They divide the data into “bins” or intervals and the height of each bar represents the frequency or count of data points falling into that interval. 

Histograms are excellent for helping to identify trends in data distributions, such as peaks, gaps or skewness.

Here’s something to take note of — ensure that your histogram bins are appropriately sized to capture meaningful data patterns. Using clear axis labels and titles can also help explain the distribution of the data effectively.

6. Stacked bar chart

Useful for showing how different components contribute to a whole over multiple categories.

Stacked bar charts are a handy choice when you want to illustrate how different components contribute to a whole across multiple categories. 

Each bar represents a category and the bars are divided into segments to show the contribution of various components within each category. 

This method is ideal for highlighting both the individual and collective significance of each component, making it a valuable tool for comparative analysis.

Stacked bar charts are like data sandwiches—label each layer so people know what’s what. Keep the order logical and don’t forget the paintbrush for snazzy colors. Here’s a data analysis presentation example on writers’ productivity using stacked bar charts:

7. Area chart

Similar to line charts but with the area below the lines filled, making them suitable for showing cumulative data.

Area charts are close cousins of line charts but come with a twist. 

Imagine plotting the sales of a product over several months. In an area chart, the space between the line and the x-axis is filled, providing a visual representation of the cumulative total. 

This makes it easy to see how values stack up over time, making area charts a valuable tool for tracking trends in data.

For area charts, use them to visualize cumulative data and trends, but avoid overcrowding the chart. Add labels, especially at significant points and make sure the area under the lines is filled with a visually appealing color gradient.

8. Tabular presentation

Presenting data in rows and columns, often used for precise data values and comparisons.

Tabular data presentation is all about clarity and precision. Think of it as presenting numerical data in a structured grid, with rows and columns clearly displaying individual data points. 

A table is invaluable for showcasing detailed data, facilitating comparisons and presenting numerical information that needs to be exact. They’re commonly used in reports, spreadsheets and academic papers.

When presenting tabular data, organize it neatly with clear headers and appropriate column widths. Highlight important data points or patterns using shading or font formatting for better readability.

9. Textual data

Utilizing written or descriptive content to explain or complement data, such as annotations or explanatory text.

Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. 

It involves using written content to provide context, explanations or annotations alongside data visuals. Think of it as the narrative that guides your audience through the data. 

Well-crafted textual data can make complex information more accessible and help your audience understand the significance of the numbers and visuals.

Textual data is your chance to tell a story. Break down complex information into bullet points or short paragraphs and use headings to guide the reader’s attention.

10. Pictogram

Using simple icons or images to represent data is especially useful for conveying information in a visually intuitive manner.

Pictograms are all about harnessing the power of images to convey data in an easy-to-understand way. 

Instead of using numbers or complex graphs, you use simple icons or images to represent data points. 

For instance, you could use a thumbs up emoji to illustrate customer satisfaction levels, where each face represents a different level of satisfaction. 

Pictograms are great for conveying data visually, so choose symbols that are easy to interpret and relevant to the data. Use consistent scaling and a legend to explain the symbols’ meanings, ensuring clarity in your presentation.

Looking for more data presentation ideas? Use the Venngage graph maker or browse through our gallery of chart templates to pick a template and get started! 

A comprehensive data presentation should include several key elements to effectively convey information and insights to your audience. Here’s a list of what should be included in a data presentation:

1. Title and objective

• Begin with a clear and informative title that sets the context for your presentation.
• State the primary objective or purpose of the presentation to provide a clear focus.

2. Key data points

• Present the most essential data points or findings that align with your objective.
• Use charts, graphical presentations or visuals to illustrate these key points for better comprehension.

3. Context and significance

• Provide a brief overview of the context in which the data was collected and why it’s significant.
• Explain how the data relates to the larger picture or the problem you’re addressing.

4. Key takeaways

• Summarize the main insights or conclusions that can be drawn from the data.
• Highlight the key takeaways that the audience should remember.

5. Visuals and charts

• Use clear and appropriate visual aids to complement the data.
• Ensure that visuals are easy to understand and support your narrative.

6. Implications or actions

• Discuss the practical implications of the data or any recommended actions.
• If applicable, outline next steps or decisions that should be taken based on the data.

7. Q&A and discussion

• Allocate time for questions and open discussion to engage the audience.
• Address queries and provide additional insights or context as needed.

Presenting data is a crucial skill in various professional fields, from business to academia and beyond. To ensure your data presentations hit the mark, here are some common mistakes that you should steer clear of:

Overloading with data

Presenting too much data at once can overwhelm your audience. Focus on the key points and relevant information to keep the presentation concise and focused. Here are some free data visualization tools you can use to convey data in an engaging and impactful way. 

Assuming everyone’s on the same page

It’s easy to assume that your audience understands as much about the topic as you do. But this can lead to either dumbing things down too much or diving into a bunch of jargon that leaves folks scratching their heads. Take a beat to figure out where your audience is coming from and tailor your presentation accordingly.

Misleading visuals

Using misleading visuals, such as distorted scales or inappropriate chart types can distort the data’s meaning. Pick the right data infographics and understandable charts to ensure that your visual representations accurately reflect the data.

Not providing context

Data without context is like a puzzle piece with no picture on it. Without proper context, data may be meaningless or misinterpreted. Explain the background, methodology and significance of the data.

Not citing sources properly

Neglecting to cite sources and provide citations for your data can erode its credibility. Always attribute data to its source and utilize reliable sources for your presentation.

Not telling a story

Avoid simply presenting numbers. If your presentation lacks a clear, engaging story that takes your audience on a journey from the beginning (setting the scene) through the middle (data analysis) to the end (the big insights and recommendations), you’re likely to lose their interest.

Infographics are great for storytelling because they mix cool visuals with short and sweet text to explain complicated stuff in a fun and easy way. Create one with Venngage’s free infographic maker to create a memorable story that your audience will remember.

Ignoring data quality

Presenting data without first checking its quality and accuracy can lead to misinformation. Validate and clean your data before presenting it.

Simplify your visuals

Fancy charts might look cool, but if they confuse people, what’s the point? Go for the simplest visual that gets your message across. Having a dilemma between presenting data with infographics v.s data design? This article on the difference between data design and infographics might help you out. 

Missing the emotional connection

Data isn’t just about numbers; it’s about people and real-life situations. Don’t forget to sprinkle in some human touch, whether it’s through relatable stories, examples or showing how the data impacts real lives.

Skipping the actionable insights

At the end of the day, your audience wants to know what they should do with all the data. If you don’t wrap up with clear, actionable insights or recommendations, you’re leaving them hanging. Always finish up with practical takeaways and the next steps.

Can you provide some data presentation examples for business reports?

Business reports often benefit from data presentation through bar charts showing sales trends over time, pie charts displaying market share,or tables presenting financial performance metrics like revenue and profit margins.

What are some creative data presentation examples for academic presentations?

Creative data presentation ideas for academic presentations include using statistical infographics to illustrate research findings and statistical data, incorporating storytelling techniques to engage the audience or utilizing heat maps to visualize data patterns.

What are the key considerations when choosing the right data presentation format?

When choosing a chart format , consider factors like data complexity, audience expertise and the message you want to convey. Options include charts (e.g., bar, line, pie), tables, heat maps, data visualization infographics and interactive dashboards.

Knowing the type of data visualization that best serves your data is just half the battle. Here are some best practices for data visualization to make sure that the final output is optimized. 

How can I choose the right data presentation method for my data?

To select the right data presentation method, start by defining your presentation’s purpose and audience. Then, match your data type (e.g., quantitative, qualitative) with suitable visualization techniques (e.g., histograms, word clouds) and choose an appropriate presentation format (e.g., slide deck, report, live demo).

For more presentation ideas , check out this guide on how to make a good presentation or use a presentation software to simplify the process.  

How can I make my data presentations more engaging and informative?

To enhance data presentations, use compelling narratives, relatable examples and fun data infographics that simplify complex data. Encourage audience interaction, offer actionable insights and incorporate storytelling elements to engage and inform effectively.

The opening of your presentation holds immense power in setting the stage for your audience. To design a presentation and convey your data in an engaging and informative, try out Venngage’s free presentation maker to pick the right presentation design for your audience and topic. 

What is the difference between data visualization and data presentation?

Data presentation typically involves conveying data reports and insights to an audience, often using visuals like charts and graphs. Data visualization , on the other hand, focuses on creating those visual representations of data to facilitate understanding and analysis. 

Now that you’ve learned a thing or two about how to use these methods of data presentation to tell a compelling data story , it’s time to take these strategies and make them your own. 

But here’s the deal: these aren’t just one-size-fits-all solutions. Remember that each example we’ve uncovered here is not a rigid template but a source of inspiration. It’s all about making your audience go, “Wow, I get it now!”

Think of your data presentations as your canvas – it’s where you paint your story, convey meaningful insights and make real change happen. 

So, go forth, present your data with confidence and purpose and watch as your strategic influence grows, one compelling presentation at a time.

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Data presentation: A comprehensive guide

Learn how to create data presentation effectively and communicate your insights in a way that is clear, concise, and engaging.

Raja Bothra

Building presentations

Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

Whether you're an experienced presenter or just starting, this guide will help you present your data like a pro. We'll dive deep into what data presentation is, why it's crucial, and how to master it. So, let's embark on this data-driven journey together.

What is data presentation?

Data presentation is the art of transforming raw data into a visual format that's easy to understand and interpret. It's like turning numbers and statistics into a captivating story that your audience can quickly grasp. When done right, data presentation can be a game-changer, enabling you to convey complex information effectively.

Why are data presentations important?

Imagine drowning in a sea of numbers and figures. That's how your audience might feel without proper data presentation. Here's why it's essential:

• Clarity : Data presentations make complex information clear and concise.
• Engagement : Visuals, such as charts and graphs, grab your audience's attention.
• Comprehension : Visual data is easier to understand than long, numerical reports.
• Decision-making : Well-presented data aids informed decision-making.
• Impact : It leaves a lasting impression on your audience.

Types of data presentation:

Now, let's delve into the diverse array of data presentation methods, each with its own unique strengths and applications. We have three primary types of data presentation, and within these categories, numerous specific visualization techniques can be employed to effectively convey your data.

1. Textual presentation

Textual presentation harnesses the power of words and sentences to elucidate and contextualize your data. This method is commonly used to provide a narrative framework for the data, offering explanations, insights, and the broader implications of your findings. It serves as a foundation for a deeper understanding of the data's significance.

2. Tabular presentation

Tabular presentation employs tables to arrange and structure your data systematically. These tables are invaluable for comparing various data groups or illustrating how data evolves over time. They present information in a neat and organized format, facilitating straightforward comparisons and reference points.

3. Graphical presentation

Graphical presentation harnesses the visual impact of charts and graphs to breathe life into your data. Charts and graphs are powerful tools for spotlighting trends, patterns, and relationships hidden within the data. Let's explore some common graphical presentation methods:

• Bar charts: They are ideal for comparing different categories of data. In this method, each category is represented by a distinct bar, and the height of the bar corresponds to the value it represents. Bar charts provide a clear and intuitive way to discern differences between categories.
• Pie charts: It excel at illustrating the relative proportions of different data categories. Each category is depicted as a slice of the pie, with the size of each slice corresponding to the percentage of the total value it represents. Pie charts are particularly effective for showcasing the distribution of data.
• Line graphs: They are the go-to choice when showcasing how data evolves over time. Each point on the line represents a specific value at a particular time period. This method enables viewers to track trends and fluctuations effortlessly, making it perfect for visualizing data with temporal dimensions.
• Scatter plots: They are the tool of choice when exploring the relationship between two variables. In this method, each point on the plot represents a pair of values for the two variables in question. Scatter plots help identify correlations, outliers, and patterns within data pairs.

The selection of the most suitable data presentation method hinges on the specific dataset and the presentation's objectives. For instance, when comparing sales figures of different products, a bar chart shines in its simplicity and clarity. On the other hand, if your aim is to display how a product's sales have changed over time, a line graph provides the ideal visual narrative.

Additionally, it's crucial to factor in your audience's level of familiarity with data presentations. For a technical audience, more intricate visualization methods may be appropriate. However, when presenting to a general audience, opting for straightforward and easily understandable visuals is often the wisest choice.

In the world of data presentation, choosing the right method is akin to selecting the perfect brush for a masterpiece. Each tool has its place, and understanding when and how to use them is key to crafting compelling and insightful presentations. So, consider your data carefully, align your purpose, and paint a vivid picture that resonates with your audience.

What to include in data presentation?

When creating your data presentation, remember these key components:

• Data points : Clearly state the data points you're presenting.
• Comparison : Highlight comparisons and trends in your data.
• Graphical methods : Choose the right chart or graph for your data.
• Infographics : Use visuals like infographics to make information more digestible.
• Numerical values : Include numerical values to support your visuals.
• Qualitative information : Explain the significance of the data.
• Source citation : Always cite your data sources.

How to structure an effective data presentation?

Creating a well-structured data presentation is not just important; it's the backbone of a successful presentation. Here's a step-by-step guide to help you craft a compelling and organized presentation that captivates your audience:

1. Know your audience

Understanding your audience is paramount. Consider their needs, interests, and existing knowledge about your topic. Tailor your presentation to their level of understanding, ensuring that it resonates with them on a personal level. Relevance is the key.

2. Have a clear message

Every effective data presentation should convey a clear and concise message. Determine what you want your audience to learn or take away from your presentation, and make sure your message is the guiding light throughout your presentation. Ensure that all your data points align with and support this central message.

3. Tell a compelling story

Human beings are naturally wired to remember stories. Incorporate storytelling techniques into your presentation to make your data more relatable and memorable. Your data can be the backbone of a captivating narrative, whether it's about a trend, a problem, or a solution. Take your audience on a journey through your data.

4. Leverage visuals

Visuals are a powerful tool in data presentation. They make complex information accessible and engaging. Utilize charts, graphs, and images to illustrate your points and enhance the visual appeal of your presentation. Visuals should not just be an accessory; they should be an integral part of your storytelling.

5. Be clear and concise

Avoid jargon or technical language that your audience may not comprehend. Use plain language and explain your data points clearly. Remember, clarity is king. Each piece of information should be easy for your audience to digest.

6. Practice your delivery

Practice makes perfect. Rehearse your presentation multiple times before the actual delivery. This will help you deliver it smoothly and confidently, reducing the chances of stumbling over your words or losing track of your message.

A basic structure for an effective data presentation

Armed with a comprehensive comprehension of how to construct a compelling data presentation, you can now utilize this fundamental template for guidance:

In the introduction, initiate your presentation by introducing both yourself and the topic at hand. Clearly articulate your main message or the fundamental concept you intend to communicate.

Moving on to the body of your presentation, organize your data in a coherent and easily understandable sequence. Employ visuals generously to elucidate your points and weave a narrative that enhances the overall story. Ensure that the arrangement of your data aligns with and reinforces your central message.

As you approach the conclusion, succinctly recapitulate your key points and emphasize your core message once more. Conclude by leaving your audience with a distinct and memorable takeaway, ensuring that your presentation has a lasting impact.

Additional tips for enhancing your data presentation

To take your data presentation to the next level, consider these additional tips:

• Consistent design : Maintain a uniform design throughout your presentation. This not only enhances visual appeal but also aids in seamless comprehension.
• High-quality visuals : Ensure that your visuals are of high quality, easy to read, and directly relevant to your topic.
• Concise text : Avoid overwhelming your slides with excessive text. Focus on the most critical points, using visuals to support and elaborate.
• Anticipate questions : Think ahead about the questions your audience might pose. Be prepared with well-thought-out answers to foster productive discussions.

By following these guidelines, you can structure an effective data presentation that not only informs but also engages and inspires your audience. Remember, a well-structured presentation is the bridge that connects your data to your audience's understanding and appreciation.

Do’s and don'ts on a data presentation

• Use visuals : Incorporate charts and graphs to enhance understanding.
• Keep it simple : Avoid clutter and complexity.
• Highlight key points : Emphasize crucial data.
• Engage the audience : Encourage questions and discussions.
• Practice : Rehearse your presentation.

Don'ts:

• Overload with data : Less is often more; don't overwhelm your audience.
• Fit Unrelated data : Stay on topic; don't include irrelevant information.
• Neglect the audience : Ensure your presentation suits your audience's level of expertise.
• Read word-for-word : Avoid reading directly from slides.
• Lose focus : Stick to your presentation's purpose.

Summarizing key takeaways

• Definition : Data presentation is the art of visualizing complex data for better understanding.
• Importance : Data presentations enhance clarity, engage the audience, aid decision-making, and leave a lasting impact.
• Types : Textual, Tabular, and Graphical presentations offer various ways to present data.
• Choosing methods : Select the right method based on data, audience, and purpose.
• Components : Include data points, comparisons, visuals, infographics, numerical values, and source citations.
• Structure : Know your audience, have a clear message, tell a compelling story, use visuals, be concise, and practice.
• Do's and don'ts : Do use visuals, keep it simple, highlight key points, engage the audience, and practice. Don't overload with data, include unrelated information, neglect the audience's expertise, read word-for-word, or lose focus.

FAQ's on a data presentation

1. what is data presentation, and why is it important in 2024.

Data presentation is the process of visually representing data sets to convey information effectively to an audience. In an era where the amount of data generated is vast, visually presenting data using methods such as diagrams, graphs, and charts has become crucial. By simplifying complex data sets, presentation of the data may helps your audience quickly grasp much information without drowning in a sea of chart's, analytics, facts and figures.

2. What are some common methods of data presentation?

There are various methods of data presentation, including graphs and charts, histograms, and cumulative frequency polygons. Each method has its strengths and is often used depending on the type of data you're using and the message you want to convey. For instance, if you want to show data over time, try using a line graph. If you're presenting geographical data, consider to use a heat map.

3. How can I ensure that my data presentation is clear and readable?

To ensure that your data presentation is clear and readable, pay attention to the design and labeling of your charts. Don't forget to label the axes appropriately, as they are critical for understanding the values they represent. Don't fit all the information in one slide or in a single paragraph. Presentation software like Prezent and PowerPoint can help you simplify your vertical axis, charts and tables, making them much easier to understand.

4. What are some common mistakes presenters make when presenting data?

One common mistake is trying to fit too much data into a single chart, which can distort the information and confuse the audience. Another mistake is not considering the needs of the audience. Remember that your audience won't have the same level of familiarity with the data as you do, so it's essential to present the data effectively and respond to questions during a Q&A session.

5. How can I use data visualization to present important data effectively on platforms like LinkedIn?

When presenting data on platforms like LinkedIn, consider using eye-catching visuals like bar graphs or charts. Use concise captions and e.g., examples to highlight the single most important information in your data report. Visuals, such as graphs and tables, can help you stand out in the sea of textual content, making your data presentation more engaging and shareable among your LinkedIn connections.

Create your data presentation with prezent

Prezent can be a valuable tool for creating data presentations. Here's how Prezent can help you in this regard:

• Time savings : Prezent saves up to 70% of presentation creation time, allowing you to focus on data analysis and insights.
• On-brand consistency : Ensure 100% brand alignment with Prezent's brand-approved designs for professional-looking data presentations.
• Effortless collaboration : Real-time sharing and collaboration features make it easy for teams to work together on data presentations.
• Data storytelling : Choose from 50+ storylines to effectively communicate data insights and engage your audience.
• Personalization : Create tailored data presentations that resonate with your audience's preferences, enhancing the impact of your data.

In summary, Prezent streamlines the process of creating data presentations by offering time-saving features, ensuring brand consistency, promoting collaboration, and providing tools for effective data storytelling. Whether you need to present data to clients, stakeholders, or within your organization, Prezent can significantly enhance your presentation-making process.

So, go ahead, present your data with confidence, and watch your audience be wowed by your expertise.

Thank you for joining us on this data-driven journey. Stay tuned for more insights, and remember, data presentation is your ticket to making numbers come alive! Sign up for our free trial or book a demo ! ‍

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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

While a good presentation has data, data alone doesn’t guarantee a good presentation. It’s all about how that data is presented. The quickest way to confuse your audience is by sharing too many details at once. The only data points you should share are those that significantly support your point — and ideally, one point per chart. To avoid the debacle of sheepishly translating hard-to-see numbers and labels, rehearse your presentation with colleagues sitting as far away as the actual audience would. While you’ve been working with the same chart for weeks or months, your audience will be exposed to it for mere seconds. Give them the best chance of comprehending your data by using simple, clear, and complete language to identify X and Y axes, pie pieces, bars, and other diagrammatic elements. Try to avoid abbreviations that aren’t obvious, and don’t assume labeled components on one slide will be remembered on subsequent slides. Every valuable chart or pie graph has an “Aha!” zone — a number or range of data that reveals something crucial to your point. Make sure you visually highlight the “Aha!” zone, reinforcing the moment by explaining it to your audience.

With so many ways to spin and distort information these days, a presentation needs to do more than simply share great ideas — it needs to support those ideas with credible data. That’s true whether you’re an executive pitching new business clients, a vendor selling her services, or a CEO making a case for change.

• JS Joel Schwartzberg oversees executive communications for a major national nonprofit, is a professional presentation coach, and is the author of Get to the Point! Sharpen Your Message and Make Your Words Matter and The Language of Leadership: How to Engage and Inspire Your Team . You can find him on LinkedIn and X. TheJoelTruth

Partner Center

9 Data Presentation Tools for Business Success

• By Judhajit Sen
• May 29, 2024

A data presentation is a slide deck that shares quantitative information with an audience using visuals and effective presentation techniques . The goal is to make complex data easily understandable and actionable using data presentation examples like graphs and charts, tables, dashboards, and clear text explanations. 

Data presentations help highlight trends, patterns, and insights, allowing the audience to grasp complicated concepts or trends quickly. This makes it easier for them to make informed decisions or conduct deeper analysis.

Data visualization in presentations is used in every field, from academia to business and industry. Raw data is often too complex to understand directly, so data analysis breaks it down into charts and graphs. These tools help turn raw data into useful information.

Once the information is extracted, it’s presented graphically. A good presentation can significantly enhance understanding and response.

Think of data presentation as storytelling in business presentations with charts. A common mistake is assuming the audience understands the data as well as the presenter. Always consider your audience’s knowledge level and what information they need when you present your data.

To present the data effectively:

1. Provide context to help the audience understand the numbers.

2. Compare data groups using visual aids.

3. Step back and view the data from the audience’s perspective.

Data presentations are crucial in nearly every industry, helping professionals share their findings clearly after analyzing data.

Key Takeaways

• Simplifying Complex Data: Data presentations turn complex data into easy-to-understand visuals and narratives, helping audiences quickly grasp trends and insights for informed decision-making.
• Versatile Tools: Various tools like bar charts, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables each serve unique purposes, enhancing the clarity and impact of the data.
• Audience Consideration: Tailor your presentation to the audience’s knowledge level, providing context and using simple visuals to make the information accessible and actionable.
• Effective Data Storytelling: Combining clear context, organized visuals, and thoughtful presentation ensures that the data’s story is conveyed effectively, supporting better business decisions and success.

Following are 9 data presentation tools for business success.

Bar charts are a simple yet powerful method of presentation of the data using rectangular bars to show quantities or frequencies. They make it easy to spot patterns or trends at a glance. Bar charts can be vertical (column charts) or horizontal, depending on how you want to display your data.

In a bar graph, categories are displayed on one axis, usually the x-axis for vertical charts and the y-axis for horizontal ones. The bars’ lengths represent the values or frequencies of these categories, with the scale marked on the opposite axis.

These charts are ideal for comparing data across different categories or showing trends over time. Each bar’s height (or length in a horizontal chart) is directly proportional to the value it represents. This visual representation helps illustrate differences or changes in data.

Bar charts are versatile tools in business reports, academic presentations, and more. To make your bar charts effective:

• Ensure they are concise and have easy-to-read labels.
• Avoid clutter by not including too many categories, making the chart hard to read.
• Keep it simple to maintain clarity and impact, whether your bars go up or sideways.

Line Graphs

Line graphs show how data changes over time or with continuous variables. They connect points of data with straight lines, making it easy to see trends and fluctuations. These graphs are handy when comparing multiple datasets over the same timeline.

Using line graphs, you can track things like stock prices, sales projections, or experimental results. The x-axis represents time or another continuous variable, while the y-axis shows the data values. This setup allows you to understand the ups and downs in the data quickly.

To make your graphs effective, keep them simple. Avoid overcrowding with too many lines, highlight significant changes, use labels, and give your graph a clear, catchy title. This will help your audience grasp the information quickly and easily.

A data dashboard is a data analysis presentation example for analyzing information. It combines different graphs, charts, and tables in one layout to show the information needed to meet one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs) by displaying visuals you’ve already made in worksheets.

It’s best to keep the number of visuals on a dashboard to three or four. Adding too many can make it hard to see the main points. Dashboards are helpful for business analytics, like analyzing sales, revenue, and marketing metrics. In manufacturing, they help users understand the production scenario and track critical KPIs for each production line.

Dashboards represent vital points of data or metrics in an easy-to-understand way. They are often an  interactive presentation idea , allowing users to drill down into the data or view different aspects of it.

Pie charts are circular graphs divided into parts to show numerical proportions. Each portion represents a part of the whole, making it easy to see each component’s contribution to the total.

The size of each slice is determined by its value relative to the total. A pie chart with more significant points of data will have larger slices, and the whole chart will be more important. However, you can make all pies the same size if proportional representation isn’t necessary.

Pie charts are helpful in business to show percentage distributions, compare category sizes, or present simple data sets where visualizing ratios is essential. They work best with fewer variables. For more variables, it’s better to use a pie chart calculator that helps to create pie charts easily for various data sets with different color slices. 

Each “slice” represents a fraction of the total, and the size of each slice shows its share of the whole. Pie charts are excellent for showing how a whole is divided into parts, such as survey results or demographic data.

While pie charts are great for simple distributions, they can get confusing with too many categories or slight differences in proportions. To keep things clear, label each slice with percentages or values and use a legend if there are many categories. If more detail is needed, consider using a donut chart with a blank center for extra information and a less cluttered look.

A histogram is a graphical presentation of data  to help in understanding the distribution of numerical values. Unlike bar charts that show each response separately, histograms group numeric responses into bins and display the frequency of reactions within each bin. The x-axis denotes the range of values, while the y-axis shows the frequency of those values.

Histograms are useful for understanding your data’s distribution, identifying shared values, and spotting outliers. They highlight the story your data tells, whether it’s exam scores, sales figures, or any other numerical data.

Histograms are great for visualizing the distribution and frequency of a single variable. They divide the data into bins, and the height of each bar indicates how many points of data fall into that bin. This makes it easy to see trends like peaks, gaps, or skewness in your data.

To make your histogram effective, choose bin sizes that capture meaningful patterns. Clear axis labels and titles also help in explaining the data distribution.

Scatter Plot

Using individual data points, a scatter plot chart is a presentation of data in visual form to show the relationship between two variables. Each variable is plotted along the x-axis and y-axis, respectively. Each point on the scatter plot represents a single observation.

Scatter plots help visualize patterns, trends, and correlations between the two variables. They can also help identify outliers and understand the overall distribution of data points. The way the points are spread out or clustered together can indicate whether there is a positive, negative, or no clear relationship between the variables.

Scatter plots can be used in practical applications, such as in business, to show how variables like marketing cost and sales revenue are related. They help understand data correlations, which aids in decision-making.

To make scatter plots more effective, consider adding trendlines or regression analysis to highlight patterns. Labeling key data points or tooltips can provide additional information and make the chart easier to interpret.

A pictogram is the simplest form of data presentation and analysis, often used in schools and universities to help students grasp concepts more effectively through pictures.

This type of diagram uses images to represent data. For example, you could draw five books to show the number of books sold in the first week of release, with each image representing 1,000 books. If consumers bought 5,000 books, you would display five book images.

Using simple icons or images makes the information visually intuitive. Instead of relying on numbers or complex graphs, pictograms use straightforward symbols to depict data points. For example, a thumbs-up emoji can illustrate customer satisfaction levels, with each emoji representing a different level of satisfaction.

Pictograms are excellent for visual data presentation. Choose symbols that are easy to interpret and relevant to the data to ensure clarity. Consistent scaling and a legend explaining the symbols’ meanings are essential for an effective presentation.

Textual Presentation

Textual presentation uses words to describe the relationships between pieces of information. This method helps share details that can’t be shown in a graph or table. For example, researchers often present findings in a study textually to provide extra context or explanation. A textual presentation can make the information more transparent.

This type of presentation is common in research and for introducing new ideas. Unlike charts or graphs, it relies solely on paragraphs and words.

Textual presentation also involves using written content, such as annotations or explanatory text, to explain or complement data. While it doesn’t use visual presentation aids like charts, it is a widely used method for presenting qualitative data. Think of it as the narrative that guides your audience through the data.

Adequate textual data may make complex information more accessible. Breaking down complex details into bullet points or short paragraphs helps your audience understand the significance of numbers and visuals. Headings can guide the reader’s attention and tell a coherent story.

Tabular Presentation

Tabular presentation uses tables to share information by organizing data in rows and columns. This method is useful for comparing data and visualizing information. Researchers often use tables to analyze data in various classifications:

Qualitative classification: This includes qualities like nationality, age, social status, appearance, and personality traits, helping to compare sociological and psychological information.

Quantitative classification: This covers items you can count or number.

Spatial classification: This deals with data based on location, such as information about a city, state, or region.

Temporal classification: This involves time-based data measured in seconds, hours, days, or weeks.

Tables simplify data, making it easily consumable, allow for side-by-side comparisons, and save space in your presentation by condensing information.

Using rows and columns, tabular presentation focuses on clarity and precision. It’s about displaying numerical data in a structured grid, clearly showing individual data points. Tables are invaluable for showcasing detailed data, facilitating comparisons, and presenting exact numerical information. They are commonly used in reports, spreadsheets, and academic papers.

Organize tables neatly with clear headers and appropriate column widths to ensure readability. Highlight important data points or patterns using shading or font formatting. Tables are simple and effective, especially when the audience needs to know precise figures.

Elevate Business Decisions with Effective Data Presentations

Data presentations are essential for transforming complex data into understandable and actionable insights. Data presentations simplify the process of interpreting quantitative information by utilizing data presentation examples like charts, graphs, tables, infographics, dashboards, and clear narratives. This method of storytelling with visuals highlights trends, patterns, and insights, enabling audiences to make informed decisions quickly.

In business, data analysis presentations are invaluable. Different types of presentation tools like bar charts help compare categories and track changes over time, while dashboards consolidate various metrics into a comprehensive view. Pie charts and histograms offer clear views of distributions and proportions, aiding in grasping the bigger picture. Scatter plots reveal relationships between variables, and pictograms make data visually intuitive. Textual presentations and tables provide detailed context and precise figures, which are essential for thorough analysis and comparison.

Consider the audience’s knowledge level to tailor the best way to present data in PowerPoint. Clear context, simple visuals, and thoughtful organization ensure the data’s story is easily understood and impactful. Mastering these nine data presentation types can significantly enhance business success by making data-driven decisions more accessible and practical.

Frequently Asked Questions (FAQs)

1. What is a data presentation?

A data presentation is a slide deck that uses visuals and narrative techniques to make complex data easy to understand and actionable. It includes charts, graphs, tables, infographics, dashboards, and clear text explanations.

2. Why are data presentations important in business?

Data presentations are crucial because they help highlight trends, patterns, and insights, making it easier for the audience to understand complicated concepts. This enables better decision-making and deeper analysis.

3. What types of data presentation tools are commonly used?

Common tools include bar charts, line graphs, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables. Each tool has a unique way of representing data to aid understanding.

4. How can I ensure my data presentation is effective?

To ensure effectiveness, provide context, compare data sets using visual aids, consider your audience’s knowledge level, and keep visuals simple. Organizing information thoughtfully and avoiding clutter enhances clarity and impact.

Transform Your Data into Compelling Stories with Prezentium

Unlock the full potential of your business data with Prezentium ‘s expert presentation services. Our AI-powered solutions turn complex data into clear, actionable insights, helping you easily make informed decisions. 

Prezentium’s Overnight Presentations ensure you wake up to a stunning, ready-to-use presentation in your inbox by 9:30 am PST. Send your requirements by 5:30 pm PST, and let our team combine business acumen, visual design, and data science to craft a presentation that highlights trends and insights seamlessly.

Our Presentation Specialists transform raw ideas and meeting notes into captivating presentations. Whether you need new designs or bespoke templates, our experts bring your vision to life with precision and creativity.

Enhance your team’s skills with Zenith Learning, our interactive workshops that blend structured problem-solving with visual storytelling. Learn to present data effectively and make a lasting impact in your business communications.

Prezentium’s services are designed to help you make the most of your data, from bar charts to dashboards, ensuring your presentations are informative and visually engaging. Let us help you tell your data’s story in a way that resonates. Contact Prezentium today to elevate your business presentations.

Why wait? Avail a complimentary 1-on-1 session with our presentation expert. See how other enterprise leaders are creating impactful presentations with us.

5 Active Listening Skills for Better Communication

Mastering executive communication: strategies, benefits, and best practices, 7 tips for crafting a winning sales presentation.

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How To Create A Successful Data Presentation

Present your data like a pro in six easy steps….

Rashi Desai

Towards Data Science

In the rapidly expanding technological world of today, when data is the cornerstone of every conversation, including business decision-making, data professionals must know how to best present the data they work with.

Written by Rashi Desai

An Analytics Consultant from Chicago & Top 100 writer on Medium. Everyone loves a good story & I tell mine with data!

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Mastering the Art of Presenting Data in PowerPoint

Presenting data in PowerPoint is easy. However, making it visually appealing and effective takes more time and effort. It’s not hard to bore your audience with the same old data presentation formats. So, there is one simple golden rule: Make it not boring.

When used correctly, data can add weight, authority, and punch to your message. It should support and highlight your ideas, making a concept come to life. But this begs the question: How to present data in PowerPoint?

After talking to our 200+ expert presentation designers, I compiled information about their best-kept secrets to presenting data in PowerPoint. 

Below, I’ll show our designers ' favorite ways to add data visualization for global customers and their expert tips for making your data shine. Read ahead and master the art of data visualization in PowerPoint!

Feel free to explore sections to find what's most useful!

How to present data in PowePoint: a step-by-step guide

Creative ways to present data in powerpoint.

• Tips for data visualization

Seeking to optimize your presentations? – 24Slides designers have got you covered!

How you present your data can make or break your presentation. It can make it stand out and stick with your audience, or make it fall flat from the go.

It’s not enough to just copy and paste your data into a presentation slide. Luckily, PowerPoint has many smart data visualization tools! You only need to put in your numbers, and PowerPoint will work it up for you.

Follow these steps, and I guarantee your presentations will level up!

1. Collect your data

First things first, and that is to have all your information ready. Especially for long business presentations, there can be a lot of information to consider when working on your slides. Having it all organized and ready to use will make the whole process much easier to go through.

Consider where your data comes from, whether from research, surveys, or databases. Make sure your data is accurate, up-to-date, and relevant to your presentation topic.

Your goal will be to create clear conclusions based on your data and highlight trends.

2. Know your audience

Knowing who your audience is and the one thing you want them to get from your data is vital. If you don’t have any idea where to start, you can begin with these key questions:

• What impact do you want your data to make on them?
• Is the subject of your presentation familiar to them?
• Are they fellow sales professionals?
• Are they interested in the relationships in the data you’re presenting?

By answering these, you'll be able to clearly understand the purpose of your data. As a storyteller, you want to capture your audience’s attention.

3. Choose a data visualization option

One key to data visualization in PowerPoint is being aware of your choices and picking the best one for your needs. This depends on the type of data you’re trying to showcase and your story.

When showcasing growth over time, you won’t use a spider chart but a line chart. If you show percentages, a circle graph will probably work better than a timeline. As you can see, knowing how to work with charts, graphs, and tables can level up your presentation.

Later, we’ll review some of the most common tools for data visualization in PowerPoint. This will include what these graphs and charts are best for and how to make the most of each. So read ahead for more information about how to present data in PowerPoint!

4. Be creative!

PowerPoint can assist with creating graphs and charts, but it's up to you to perfect them. Take into account that PowerPoint has many options. So, don't be afraid to think outside the box when presenting your data.

To enhance your presentation design, try out different color schemes, fonts, and layouts. Add images, icons, and visual elements to highlight your ideas.

If this sounds complicated to you, there's no need to worry. At the end of this article, you’ll find some easy tips for upgrading your data visualization design!

At this point, you might wonder: what is the best way to present data in PowerPoint? Well, let me tell you: it's all about charts. To accomplish a polished presentation, you must use charts instead of words. When visualizing quantitative data, a picture is worth a thousand words.

Based on +10 years of expertise, we've identified key chart types and creative ways to work with them. Let's delve into each one!

Line Charts

Line charts are a classic, which can make them boring. However, if done correctly, they can be striking and effective. But where does their popularity come from? Here's the answer: Line charts work great to show changes over time.

Another critical difference is that line charts are accumulative. For example, you can join them to a column chart to show different data at a glance. They allow data visualization effectively, making it easier to figure out.

To make the most of them, mastering how to work with line charts is essential. But there is good news: you will have a lot of freedom to customize them!

Download our Free Line Chart Template here .

Bar and column charts

Bar and column charts are another classic choice. Again, they are simple and great for comparing different categories. They organize them around two axes: one shows numbers, and the other shows what we want to compare.

But when should you use a bar chart or a column chart? A bar chart is better when comparing different categories and having long labels. A column chart, on the other hand, is better if you have a few categories and want to show changes over time.

You also have the waterfall option, which is perfect for highlighting the difference between gains and losses. It also adds a dynamic touch to your presentation!

Unsure how to implement these charts? Here's how to add a bar or a column chart in PowerPoint.

Download our Bar and Column Chart Template here .

Venn diagram

Venn diagrams are definitely something to consider when discussing data visualization—even if its focus is not quantitative data! Venn diagrams are best for showcasing similarities and differences between two (or more) categories or products. 

By using overlapping circles, you can quickly and easily see common features between separate ideas. The shared space of the circles shows what is the same between the groups. However, items in the outer parts of each circle show what isn’t a common trait.

They make complex relationships easy to understand. Now, you only need to know how to create a Venn diagram in PowerPoint —quite simple!

Download our Free Venn Diagram Template here .

Pie charts are a great way to show different percentages of a whole. They immediately identify the largest and smallest values. This means that they are great options for drawing attention to differences between one group and another.

However, many people misuse pie charts by overpacking them. As a rule, keep the chart to six or fewer sections. That way, the data is striking, not confusing. Then, make the pie chart your own with small, individual details and designs.

Once again, the powerful presentation of data is in simplicity.

Are you considering incorporating it into your presentation? Here’s how to easily add a pie chart in PowerPoint.

Download our Free Pie Chart Template here .

Bubble Charts

Bubble charts playfully present data in an incredibly visual way. But, what makes them so unique? It's easy: they show different values through varying circle sizes.

Squeezed together, the circles also show a holistic viewpoint. Bigger bubbles catch the eye, while small bubbles illustrate how the data breaks down into smaller values. ¿The result? A presentation of data in a visual form.

It can be one of the most graphic ways to represent the spending distribution. For example, you can instantly see your biggest costs or notice how important finances are getting lost in a sea of bubbles. This quick analysis can be incredibly handy.

Download our Free Bubble Chart Template here .

Maps are the go-to solution for presenting geographic information . They help put data in a real-world context. You usually take a blank map and use color for the important areas.

Blocks, circles, or shading represent value. Knowing where certain data is can be crucial. A consistent color scheme makes it easy to show how valuable each section is.

They also work great when paired with other forms of data visualization. For example, you can use pie charts to provide information about offices in different cities around the world or bar charts to compare revenue in different locations.

Download our Free World Map Template here .

If you want to display chronological data, you must use a timeline. It’s the most effective and space-efficient way to show time passage.

They make it easy for your audience to understand the sequence of events with clear and concise visuals.

You can use timelines to show your company’s history or significant events that impacted your business. Like maps, you can easily mix them with other types of data visuals. This characteristic allows you to create engaging presentations that tell a comprehensive story.

At this point, it's a matter of understanding how to add a timeline correctly in PowerPoint . Spoiler: it's incredibly easy.

Download our Free Timeline Chart Template here .

Flowcharts, like timelines, represent a succession of events. The main difference is that timelines have determined start and finish points and specific dates. Flowcharts, on the other hand, show the passing from one step to the next.

They are great for showing processes and info that need to be in a specific order. They can also help you communicate cause-and-effect information in a visually engaging way.

Their best feature is that (unlike timelines) they can also be circular, meaning this is a recurrent process. All you need now is to become familiar with creating a flowchart in PowerPoint .

Download our Free Flowchart Template here .

5 Tips for data visualization in PowerPoint

Knowing how to present data in PowerPoint presentations is not hard, but it takes time to master it. After all, practice makes perfect!

I've gathered insights from our 200+ expert designers , and here are the top five tips they suggest for enhancing your data presentations!

1. Keep it simple

Don’t overload your audience with information. Let the data speak for itself. If you write text below a chart, keep it minimalist and highlight the key figures. The important thing in a presentation is displaying data in a clear and digestible way.

Put all the heavy facts and figures in a report, but never on a PowerPoint slide.

You can even avoid charts altogether to keep it as simple as possible. And don't get me wrong. We've already covered that charts are the way to go for presenting data in PowerPoint, but there are a few exceptions.

This begs the question: when shouldn't you use charts in PowerPoint? The answer is quite short. If your data is simple or doesn't add much value to your presentation, you might want to skip using charts.

2. Be original

One of the best ways to make your data impactful is originality. Take time to think about how you could present information uniquely. Think of a whole new concept and play around with it. Even if it’s not yet perfect, people will appreciate the effort to be original.

Experiment with creative ways to present your data, adding storytelling techniques , unique design elements, or interactive features. This approach can make the data more appealing and captivating for your audience.

You can even mix up how to present data in PowerPoint. Instead of just one format, consider using two different types of data presentation on a single slide. For instance, try placing a bar chart on the left and a pie chart showcasing different data on the right.

3. Focus on your brand

Keeping your presentation on-brand can genuinely make you stand out from the crowd! Even if you just focus on your brand’s color scheme, it will make your presentation look more polished and professional. 

Have fun experimenting with data visualization tools to ensure they match your company’s products and services. What makes you different from others?

Add your brand's style into your visualization to ensure brand consistency and recognition. Use colors, fonts, and logos aligned with your company's image.

You can even make a presentation that more subtly reflects your brand. Think of what values you want to associate with your company and how you can display these in your presentation design.

4. Highlight key information

Not distracting your audience nicely brings us to our third point: Highlight key information. Being detailed and informative is important, but grabbing and keeping the audience's attention is crucial.

Presenting numbers in PowerPoint can be difficult, but it doesn’t must be. Make your audience listen to the bigger message of your words, not just the exact details. All the smaller particulars can be confirmed later.

Your listeners don’t want to know the facts and figures to the nearest decimal. They want the whole number, which is easy to spot and understand.

The meaning of the number is more important than its numerical value. Is it high or low? Positive or negative? Good or bad for business? These are the questions to which you want the answers to be clear.

Using colors is an excellent way to work with this. Colors are also a great visual tool to showcase contrast. For example, when you're working on a graph to display your revenue, you can showcase expenses in red and earnings in green. This kind of color-coding will make your data visualization clear from first sight!

5. Use Templates!

Presentation templates can be your best friend when you want to present data effectively in PowerPoint.

They offer pre-designed layouts and styles that can ensure consistency throughout your presentation. Templates allow you to adjust colors, fonts, and layouts to match your branding or personal preferences.

Microsoft Office has its own library of templates, but you can also find some pretty amazing ones online. Take some extra time to search and pick one that truly fits your needs and brand. 

¿The good news? Our Templates by 24Slides platform has hundreds of PowerPoint chart templates, all completely free for you to use . You can even download different templates and mix and match slides to make the perfect deck. All are entirely editable, so you can add your own data and forget about design.

If you liked the look of some examples in this article, you might be in luck! Most are part of these, and you can also find them on our Templates platform.

In this article, I've shown why knowing how to present data efficiently in PowerPoint is crucial. Data visualization tools are a must to ensure your message is clear and that it sticks with your audience.

However, achieving results that really stand out could be a huge challenge for beginners.  So, If you want to save time and effort on the learning curve of presenting data in PowerPoint, you can always trust professionals!

With 10+ years of experience and more than 200 designers worldwide, we are the world’s largest presentation design company across the globe.

24Slides' professional PowerPoint designers work with businesses worldwide, helping them transform their presentations from ‘okay’ to ‘spectacular.’ With each presentation, we're crafting a powerful tool to captivate audiences and convey messages effectively!

Looking to boost your PowerPoint game? Check out this content:

• PowerPoint 101: The Ultimate Guide for Beginners
• How to Create the Perfect B2B Sales Presentation
• The Ultimate Brand Identity Presentation Guide [FREE PPT Template]
• 7 Essential Storytelling Techniques for your Business Presentation
• The Cost of PowerPoint Presentations: Discover the hidden expenses you might overlook!

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How to Present Data Effectively

You’re sitting in front of your computer and ready to put together a presentation involving data.   The numbers stare at you from your screen, jumbled and raw.   How do you start?   Numbers on their own can be difficult to digest. Without any context, they’re just that—numbers.   But organize them well and they tell a story.   In this blog post, we’ll go into the importance of structuring data in a presentation and provide tips on how to do it well. These tips are practical and applicable for all sorts of presentations—from marketing plans and medical breakthroughs to project proposals and portfolios. 

What is data presentation?

3 essential tips on data presentation, use the right chart, keep it simple, use text wisely and sparingly.

In many ways, data presentation is like storytelling—only you do them with a series of graphs and charts.  One of the most common mistakes presenters make is being so submerged in the data that they fail to view it from an outsider’s point of view.   Always keep this in mind: What makes sense to you may not make sense to your audience. To portray figures and statistics in a way that’s comprehensible to your viewers, step back, put yourself in their shoes, and consider the following: 

• How much do they know about the topic?
• How much information will they need?
• What data will impress them?

Providing a context helps your audience visualize and understand the numbers. To help you achieve that, here are three tips on how to represent data effectively.  

Whether you’re using Google Slides or PowerPoint, both come equipped with a range of design tools that help you help your viewers make sense of your qualitative data.  The key here is to know how to use them and how to use them well. In these tips, we’ll cover the basics of data presentation that are often overlooked but also go beyond basics for more professional advice. 

The downside of having too many tools at your disposal is that it makes selecting an uphill task.   Pie and bar charts are by far the most commonly used methods as they are versatile and easy to understand. 

If you’re looking to kick things up a notch, think outside the box. When the numbers allow for it, opt for something different. For example, donut charts can sometimes be used to execute the same effect as pie charts. 

But these conventional graphs and charts aren’t applicable to all types of data. For example, if you’re comparing numerous variables and factors, a bar chart would do no good. A table, on the other hand, offers a much cleaner look.

Pro tip : If you want to go beyond basics, create your own shapes and use their sizes to reflect proportion, as seen in this next image.

Their sizes don’t have to be an exact reflection of their proportions. What’s important here is that they’re discernible and are of the same shape so that your viewers can grasp its concept at first glance.  Note that this should only be used for comparisons with large enough contrasts. For instance, it’d be difficult to use this to compare two market sizes of 25 percent and 26 percent. 

When it comes to making qualitative data digestible, simplicity does the trick.  Limit the number of elements on the slide as much as possible and provide only the bare essentials. 

See how simple this slide is? In one glance, your eye immediately goes to the percentages of the donut because there are no text boxes, illustrations, graphics, etc. to distract you.  Sometimes, more context is needed for your numbers to make sense. In the spirit of keeping your slides neat, you may be tempted to spread the data across two slides. But that makes it complicated, so putting it all on one slide is your only option.  In such cases, our mantra of “keep it simple” still applies. The trick lies in neat positioning and clever formatting.  

In the above slides, we’ve used boxes to highlight supporting figures while giving enough attention to the main chart. This separates them visually and helps the audience focus better.  With the slide already pretty full, it’s crucial to use a plain background or risk overwhelming your viewers.  

Last but certainly not least, our final tip involves the use of text.  Just because you’re telling a story with numbers doesn’t mean text cannot be used. In fact, the contrary proves true: Text plays a vital role in data presentation and should be used strategically.  To highlight a particular statistic, do not hesitate to go all out and have that be the focal point of your slide for emphasis. Keep text to a minimum and as a supporting element. 

Make sure your numbers are formatted clearly. Large figures should have thousands separated with commas. For example, 4,498,300,000 makes for a much easier read than “4498300000”. Any corresponding units should also be clear.  With data presentation, don’t forget that numbers are still your protagonist, so they must be highlighted with a larger or bolder font.  Where there are numbers and graphics, space is scarce so every single word must be chosen wisely.   The key here is to ensure your viewers understand what your data represents in one glance but to leave it sufficiently vague, like a teaser, so that they pay attention to your speech for more information.  → Slidesgo’s free presentation templates come included with specially designed and created charts and graphs that you can easily personalize according to your data. Give them a try now! 

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Data Presentation Techniques that Make an Impact

Create beautiful charts & infographics get started, 10.05.2016 by anete ezera.

Presenting data doesn’t need to be boring. In fact, it is a great way to spice up your presentations and share important facts and figures with your audience. Data has the power to be engaging, persuasive and memorable.

If you have a compelling story to tell with data, you should present it in a clear and powerful way. We will help you get started with a few effective data presentation techniques!

If you’d like more information about designing great presentations, download our new eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps.’

What Presentations Benefit from Data?

Data doesn’t necessarily make all presentations better, but certain types of presentations are prime for the incorporation of data visualizations:

• Sales Reports
• PR and Marketing Research
• Marketing and Advertising Campaigns
• Executive and CEO Presentations
• Educational Reports
• Political Speeches
• Annual Reports
• Shareholder Presentations
• Financial Reports
• Product Launches, and more!

Why Use Charts in Presentations?

Visuals make information stick in our brains . A study from the Wharton School of Business found that 67% of the audience surveyed were persuaded by verbal presentations that had accompanying visuals. Charts are great visual aids for multiple reasons:

• Charts are easy to read
• Charts are visually appealing
• Charts simplify complex information
• Charts make it possible to quickly make comparisons and spot trends
• Charts are memorable and make an impact
• Charts give your presentation credibility

How to Add Data to Your Presentation

1) define your message.

Before you can even think about adding data to your presentation, you need to ask yourself, ‘what story am I trying to tell?’ Once you have a concrete idea of what your message is, you’ll have an easier time crafting the right visualization to share with your audience.

2) Clean and Organize Your Data

Now that you know what point you want to make with your data, it’s time to make sure your numbers are ready to be visualized.   Every good data visualization starts with good data. Make sure your spreadsheet is formatted and labeled exactly how you want it. Think about the message you want to share with your data and get rid of anything that doesn’t help you tell your story.

Data that is clean and organized is easier to display and analyze. Here are five awesome free data analysis tools to help you extract, clean, and share your data.

3) Pick the Right Chart Type

We can’t emphasize enough how important it is to make sure you pick the right chart type for the data you want to present. While your data might technically work with multiple chart types, you need to pick the one that ensures your message is clear, accurate, and concise.

4) Simplicity is Key

Charts and graphs turn complex ideas or data sets into easy-to-understand visual concepts. Remember that your data is the star of the show, so keep it simple. Avoid visual clutter, excessive text, poor color selection, and unnecessary animations. Make sure your legend and data labels are printed in a large, visible font. You don’t want your audience to get distracted. Less is more!

5) Create a Narrative

People understand stories better than they understand spreadsheets. Craft a compelling story around your data to make it memorable. Find a way to drive emotion from the numbers. Give your audience something they can relate to and resonate with. Data visualization speaker Bill Shander offers five tips to make you a better data storyteller. 

6) Visualize Data with Infogram

Before you add data to your presentation you need to visualize it. While many presentation tools allow you to create charts , they often leave much to be desired. Infogram makes it easy to create beautiful, engaging data visualizations your audience won’t forget.

You can embed interactive and responsive data visualizations into your presentations if you’re using Bunkr or any other HTML based presentation platform. Or, if you upgrade to one of our paid plans , you can download static versions of your charts and graphs to enhance your work. You can even make the background of PNG downloads transparent so they slip seamlessly into your presentation.

Would you like to experience the full power of  data visualization ? Try Infogram for Teams or Enterprise for free! With a Team or Enterprise account, you can create up to 10,000+ projects, collaborate with your team in real time, use our engagement analytics feature, and more. Request your free demo  here .

7) Make a Handout

Leave your audience with a physical or virtual copy of your charts. This makes it possible for them to look at the numbers more closely after your presentation. It’s also nice to include extra information, beyond what you covered, in case someone wants to delve deeper into the material.

Now that you know how to add data to your presentations, it’s time to learn how to design a PowerPoint that really gets people talking. Download our latest eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps’ – for free!

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A Guide to Effective Data Presentation

Key objectives of data presentation, charts and graphs for great visuals, storytelling with data, visuals, and text, audiences and data presentation, the main idea in data presentation, storyboarding and data presentation, additional resources, data presentation.

Tools for effective data presentation

Financial analysts are required to present their findings in a neat, clear, and straightforward manner. They spend most of their time working with spreadsheets in MS Excel, building financial models , and crunching numbers. These models and calculations can be pretty extensive and complex and may only be understood by the analyst who created them. Effective data presentation skills are critical for being a world-class financial analyst .

It is the analyst’s job to effectively communicate the output to the target audience, such as the management team or a company’s external investors. This requires focusing on the main points, facts, insights, and recommendations that will prompt the necessary action from the audience.

One challenge is making intricate and elaborate work easy to comprehend through great visuals and dashboards. For example, tables, graphs, and charts are tools that an analyst can use to their advantage to give deeper meaning to a company’s financial information. These tools organize relevant numbers that are rather dull and give life and story to them.

Here are some key objectives to think about when presenting financial analysis:

• Visual communication
• Audience and context
• Charts, graphs, and images
• Focus on important points
• Design principles
• Storytelling
• Persuasiveness

For a breakdown of these objectives, check out Excel Dashboards & Data Visualization course to help you become a world-class financial analyst.

Charts and graphs make any financial analysis readable, easy to follow, and provide great data presentation. They are often included in the financial model’s output, which is essential for the key decision-makers in a company.

The decision-makers comprise executives and managers who usually won’t have enough time to synthesize and interpret data on their own to make sound business decisions. Therefore, it is the job of the analyst to enhance the decision-making process and help guide the executives and managers to create value for the company.

When an analyst uses charts, it is necessary to be aware of what good charts and bad charts look like and how to avoid the latter when telling a story with data.

Examples of Good Charts

As for great visuals, you can quickly see what’s going on with the data presentation, saving you time for deciphering their actual meaning. More importantly, great visuals facilitate business decision-making because their goal is to provide persuasive, clear, and unambiguous numeric communication.

For reference, take a look at the example below that shows a dashboard, which includes a gauge chart for growth rates, a bar chart for the number of orders, an area chart for company revenues, and a line chart for EBITDA margins.

To learn the step-by-step process of creating these essential tools in MS Excel, watch our video course titled “ Excel Dashboard & Data Visualization .”  Aside from what is given in the example below, our course will also teach how you can use other tables and charts to make your financial analysis stand out professionally.

Learn how to build the graph above in our Dashboards Course !

Example of Poorly Crafted Charts

A bad chart, as seen below, will give the reader a difficult time to find the main takeaway of a report or presentation, because it contains too many colors, labels, and legends, and thus, will often look too busy. It also doesn’t help much if a chart, such as a pie chart, is displayed in 3D, as it skews the size and perceived value of the underlying data. A bad chart will be hard to follow and understand.

Aside from understanding the meaning of the numbers, a financial analyst must learn to combine numbers and language to craft an effective story. Relying only on data for a presentation may leave your audience finding it difficult to read, interpret, and analyze your data. You must do the work for them, and a good story will be easier to follow. It will help you arrive at the main points faster, rather than just solely presenting your report or live presentation with numbers.

The data can be in the form of revenues, expenses, profits, and cash flow. Simply adding notes, comments, and opinions to each line item will add an extra layer of insight, angle, and a new perspective to the report.

Furthermore, by combining data, visuals, and text, your audience will get a clear understanding of the current situation,  past events, and possible conclusions and recommendations that can be made for the future.

The simple diagram below shows the different categories of your audience.

  This chart is taken from our course on how to present data .

Internal Audience

An internal audience can either be the executives of the company or any employee who works in that company. For executives, the purpose of communicating a data-filled presentation is to give an update about a certain business activity such as a project or an initiative.

Another important purpose is to facilitate decision-making on managing the company’s operations, growing its core business, acquiring new markets and customers, investing in R&D, and other considerations. Knowing the relevant data and information beforehand will guide the decision-makers in making the right choices that will best position the company toward more success.

External Audience

An external audience can either be the company’s existing clients, where there are projects in progress, or new clients that the company wants to build a relationship with and win new business from. The other external audience is the general public, such as the company’s external shareholders and prospective investors of the company.

When it comes to winning new business, the analyst’s presentation will be more promotional and sales-oriented, whereas a project update will contain more specific information for the client, usually with lots of industry jargon.

Audiences for Live and Emailed Presentation

A live presentation contains more visuals and storytelling to connect more with the audience. It must be more precise and should get to the point faster and avoid long-winded speech or text because of limited time.

In contrast, an emailed presentation is expected to be read, so it will include more text. Just like a document or a book, it will include more detailed information, because its context will not be explained with a voice-over as in a live presentation.

When it comes to details, acronyms, and jargon in the presentation, these things depend on whether your audience are experts or not.

Every great presentation requires a clear “main idea”. It is the core purpose of the presentation and should be addressed clearly. Its significance should be highlighted and should cause the targeted audience to take some action on the matter.

An example of a serious and profound idea is given below.

To communicate this big idea, we have to come up with appropriate and effective visual displays to show both the good and bad things surrounding the idea. It should put emphasis and attention on the most important part, which is the critical cash balance and capital investment situation for next year. This is an important component of data presentation.

The storyboarding below is how an analyst would build the presentation based on the big idea. Once the issue or the main idea has been introduced, it will be followed by a demonstration of the positive aspects of the company’s performance, as well as the negative aspects, which are more important and will likely require more attention.

Various ideas will then be suggested to solve the negative issues. However, before choosing the best option, a comparison of the different outcomes of the suggested ideas will be performed. Finally, a recommendation will be made that centers around the optimal choice to address the imminent problem highlighted in the big idea.

This storyboard is taken from our course on how to present data .

To get to the final point (recommendation), a great deal of analysis has been performed, which includes the charts and graphs discussed earlier, to make the whole presentation easy to follow, convincing, and compelling for your audience.

CFI offers the Business Intelligence & Data Analyst (BIDA)® certification program for those looking to take their careers to the next level. To keep learning and developing your knowledge base, please explore the additional relevant resources below:

• Investment Banking Pitch Books
• Excel Dashboards
• Financial Modeling Guide
• Startup Pitch Book
• See all business intelligence resources
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ChartExpo Survey

Top 5 Easy-to-Follow Data Presentation Examples

You’ll agree when we say that poring through numbers is tedious at best and mentally exhausting at worst.

And this is where data presentation examples come in.

Charts come in and distill data into meaningful insights. And this saves tons of hours, which you can use to relax or execute other tasks. Besides, when creating data stories, you need charts that communicate insights with clarity.

There’re 5 solid and reliable data presentation methods: textual, statistical data presentation, measures of dispersion, tabular, and graphical data representation.

Besides, some of the tested and proven charts for data presentation include:

• Waterfall Chart
• Double Bar Graph
• Slope Chart
• Treemap Charts
• Radar Chart
• Sankey Chart

There’re visualization tools that produce simple, insightful, and ready-made data presentation charts. Yes, you read that right. These tools create charts that complement data stories seamlessly.

Remember, without visualizing data to extract insights, chances of creating a compelling narrative will go down.

Table of Content:

What is data presentation, top 5 data presentation examples:, how to generate sankey chart in excel for data presentation, importance of data presentation in business, benefits of data presentation, what are the top 5 methods of data presentation.

Data presentation is the process of using charts and graphs formats to display insights into data. The insights could be:

• Relationship
• Trend and patterns

Data Analysis  and  Data Presentation  have a practical implementation in every possible field. It can range from academic studies, and commercial, industrial , and marketing activities to professional practices .

In its raw form, data can be extremely complicated to decipher. Examples of data presentation, such as chord charts , are an important step toward breaking down data into understandable charts or graphs.

You can use tools (which we’ll talk about later) to analyze raw data.

Once the required information is obtained from the data, the next logical step is to present the data in a graphical presentation.

The presentation is the key to success.

Once you’ve extracted actionable insights, you can craft a compelling data story. Keep reading because we’ll address the following in the coming section: the importance of data presentation in business.

Let’s take a look at the five data presentation examples below:

1. Waterfall Chart

A Waterfall Chart is a graphical representation used to depict the cumulative impact of sequential positive or negative values on a starting point over a designated time frame. It typically consists of a series of horizontal bars, with each bar representing a stage or category in a process.

2. Double Bar Graph

A Double Bar Chart displays more than one data series in clustered horizontal columns.

Each data series shares the same axis labels, so horizontal bars are grouped by category.

Bars directly compare multiple series in a given category. The chart is amazingly easy to read and interpret, even for a non-technical audience.

3. Slope Chart

Slope Charts are simple graphs that quickly and directly show  transitions, changes over time, absolute values, and even rankings .

Besides, they’re also called Slope Graphs .

This is one of the data presentation examples you can use to show the before and after story of variables in your data.

Slope Graphs can be useful when you have two time periods or points of comparison and want to show relative increases and decreases quickly across various categories between two data points.

Take a look at the table below. Can you provide coherent and actionable insights into the table below?

Notice the difference after visualizing the table. You can easily tell the performance of individual segments in:

• Macy’s Store

5. Radar Chart

Radar Chart is also known as Spider Chart or Spider Web Chart. A radar chart is very helpful to visualize the comparison between multiple categories and variables.

A radar Chart is one of the data presentation examples you can use to compare data of two different time ranges e.g. Current vs Previous. Radar Chart with different scales makes it easy for you to identify trends, patterns, and outliers in your data. You can also use Radar Chart to visualize the data of Polar graph equations.

6. Sankey Chart

You can use Sankey Chart to visualize data with flow-like attributes, such as material, energy, cost, etc.

This chart draws the reader’s attention to the enormous flows, the largest consumer, the major losses , and other insights.

The aforementioned visualization design is one of the data presentation examples that use links and nodes to uncover hidden insights into relationships between critical metrics.

The size of a node is directly proportionate to the quantity of the data point under review.

So how can you access the data presentation examples (highlighted above)?

Excel is one of the most used tools for visualizing data because it’s easy to use. 

However, you cannot access ready-made and visually appealing data presentation charts for storytelling. But this does not mean you should ditch this freemium data visualization tool.

Did you know you can supercharge your Excel with add-ins to access visually stunning and ready-to-go data presentation charts?

Yes, you can increase the functionality of your Excel and access ready-made data presentation examples for your data stories.

The add-on we recommend you to use is ChartExpo.

What is ChartExpo?

We recommend this tool (ChartExpo) because it’s super easy to use.

You don’t need to take programming night classes to extract insights from your data. ChartExpo is more of a ‘drag-and-drop tool,’ which means you’ll only need to scroll your mouse and fill in respective metrics and dimensions in your data.

ChartExpo comes with a 7-day free trial period.

The tool produces charts that are incredibly easy to read and interpret . And it allows you to save charts in the world’s most recognized formats, namely PNG and JPG.

In the coming section, we’ll show you how to use ChartExpo to visualize your data with one of the data presentation examples (Sankey).

  To install ChartExpo add-in into your Excel, click this link .

• Open your Excel and paste the table above.
• Click the My Apps button.

• Then select ChartExpo and click on  INSERT, as shown below.

• Click the Search Box and type “Sankey Chart” .

• Once the chart pops up, click on its icon to get started.

• Select the sheet holding your data and click the Create Chart from Selection button.

How to Edit the Sankey Chart?

• Click the Edit Chart button, as shown above.

• Once the Chart Header Properties window shows, click the Line 1 box and fill in your title.

• To change the color of the nodes, click the pen-like icons on the nodes.
• Once the color window shows, select the Node Color and then the Apply button.

• Save your changes by clicking the Apply button.
• Check out the final chart below.

Data presentation examples are vital, especially when crafting data stories for the top management. Top management can use data presentation charts, such as Sankey, as a backdrop for their decision.

Presentation charts, maps, and graphs are powerful because they simplify data by making it understandable & readable at the same time. Besides, they make data stories compelling and irresistible to target audiences.

Big files with numbers are usually hard to read and make it difficult to spot patterns easily. However, many businesses believe that developing visual reports focused on creating stories around data is unnecessary; they think that the data alone should be sufficient for decision-making.

Visualizing supports this and lightens the decision-making process.

Luckily, there are innovative applications you can use to visualize all the data your company has into dashboards, graphs, and reports. Data visualization helps transform your numbers into an engaging story with details and patterns.

Check out more benefits of data presentation examples below:

1. Easy to understand

You can interpret vast quantities of data clearly and cohesively to draw insights, thanks to graphic representations.

Using data presentation examples, such as charts, managers and decision-makers can easily create and rapidly consume key metrics.

If any of the aforementioned metrics have anomalies — ie. sales are significantly down in one region — decision-makers will easily dig into the data to diagnose the problem.

2. Spot patterns

Data visualization can help you to do trend analysis and respond rapidly on the grounds of what you see.

Such patterns make more sense when graphically represented; because charts make it easier to identify correlated parameters.

3. Data Narratives

You can use data presentation charts, such as Sankey, to build dashboards and turn them into stories.

Data storytelling can help you connect with potential readers and audiences on an emotional level.

4. Speed up the decision-making process

We naturally process visual images 60,000 times faster than text. A graph, chart, or other visual representation of data is more comfortable for our brain to process.

Thanks to our ability to easily interpret visual content, data presentation examples can dramatically improve the speed of decision-making processes.

Take a look at the table below?

Can you give reliable insights into the table above?

Keep reading because we’ll explore easy-to-follow data presentation examples in the coming section. Also, we’ll address the following question: what are the top 5 methods of data presentation?

1. Textual Ways of Presenting Data

Out of the five data presentation examples, this is the simplest one.

Just write your findings coherently and your job is done. The demerit of this method is that one has to read the whole text to get a clear picture.  Yes, you read that right.

The introduction, summary, and conclusion can help condense the information.

2. Statistical data presentation

Data on its own is less valuable. However, for it to be valuable to your business, it has to be:

No matter how well manipulated, the insights into raw data should be presented in an easy-to-follow sequence to keep the audience waiting for more.

Text is the principal method for explaining findings, outlining trends, and providing contextual information. A table is best suited for representing individual information and represents both quantitative and qualitative information.

On the other hand, a graph is a very effective visual tool because:

• It displays data at a glance
• Facilitates comparison
• Reveals trends, relationships, frequency distribution, and correlation

Text, tables, and graphs are incredibly effective data presentation examples you can leverage to curate persuasive data narratives.

3. Measure of Dispersion

Statistical dispersion is how a key metric is likely to deviate from the average value. In other words, dispersion can help you to understand the distribution of key data points.

There are two types of measures of dispersion, namely:

• Absolute Measure of Dispersion
• Relative Measure of Dispersion

4. Tabular Ways of Data Presentation and Analysis

To avoid the complexities associated with qualitative data, use tables and charts to display insights.

This is one of the data presentation examples where values are displayed in rows and columns. All rows and columns have an attribute (name, year, gender, and age).

5. Graphical Data Representation

Graphical representation uses charts and graphs to visually display, analyze, clarify, and interpret numerical data, functions, and other qualitative structures.

Data is ingested into charts and graphs, such as Sankey, and then represented by a variety of symbols, such as lines and bars.

Data presentation examples, such as Bar Charts , can help you illustrate trends, relationships, comparisons, and outliers between data points.

What is the main objective of data presentation?

Discovery and communication are the two key objectives of data presentation.

In the discovery phase, we recommend you try various charts and graphs to understand the insights into the raw data. The communication phase is focused on presenting the insights in a summarized form.

What is the importance of graphs and charts in business?

Big files with numbers are usually hard to read and make it difficult to spot patterns easily.

Presentation charts, maps, and graphs are vital because they simplify data by making it understandable & readable at the same time. Besides, they make data stories compelling and irresistible to target audiences.

Poring through numbers is tedious at best and mentally exhausting at worst.

This is where data presentation examples come into play.

Charts come in and distill data into meaningful insights. And this saves tons of hours, which you can use to handle other tasks. Besides, when creating data stories, it would be best if you had charts that communicate insights with clarity.

Excel, one of the popular tools for visualizing data, comes with very basic data presentation charts, which require a lot of editing.

We recommend you try ChartExpo because it’s one of the most trusted add-ins. Besides, it has a super-friendly user interface for everyone, irrespective of their computer skills.

Create simple, ready-made, and easy-to-interpret Bar Charts today without breaking a sweat.

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Presentation

8 Types of Presentation with Examples and Tips

Table of Contents

Every presentation is different, reflecting your unique business and the information you share. But, some common presentation types are used across various fields and teams. Before diving into specific slides or organization, consider the type that best suits your audience.

Here are some questions to get you started: Is your goal to inform or entertain? Who will you be speaking to: colleagues, investors, or potential customers? By thinking about these questions, you can choose the presentation format that best supports your message.

SlidesAI can help you simplify this process even further by providing descriptions of different presentation types.

Why Do We Need Different Types of Presentations?

Presentations are a great way to share ideas and information in different situations, depending on who you’re talking to. What you want to achieve with your presentation can change who it’s for and how you present it. For instance, if you’re trying to sell something, you might want a presentation that convinces people and is visually interesting. On the other hand, teaching something might require a more step-by-step approach with lots of details.

The best type of presentation depends on a few things, like what you’re trying to accomplish, the audience’s interests, and what you’re good at as a presenter. By choosing the right kind of presentation, you can get your message across clearly and achieve what you set out to do.

What are Different Types of Presentations?

1. educational presentations.

Educational presentations are a great way to introduce a new topic to people who aren’t familiar with it. They can be especially helpful when you want to explain something complex, like a process, or share important facts in a clear way. Whether you’re a teacher in a classroom or a trainer at a company, educational presentations can be a powerful tool for learning.

These presentations often use visuals like pictures or diagrams to make things easier to understand. They might also include step-by-step instructions to guide the audience through a process. Companies use them a lot to teach new employees about how things work at the company. The length of the presentation can be short or long, depending on what you’re trying to teach.

2. Instructional Presentations

Instructional presentations help people learn more about a topic and sometimes even guide them on what to do next. They’re similar to presentations used for education, but they might include some extra details or specific steps for the audience to follow.

Think of webinars or training sessions – these are examples of instructional presentations. They give people new information and help them develop new skills. For instance, if you’re in HR, you might create one to explain how employees can sign up for the new insurance plan.

Checkout Our Business Presentation Templates Download Free Business Presentation Templates Now!

3. Persuasive Presentations

Many presentations aim to convince the audience of something, like a new idea, product, or way of doing things. They often address a specific issue and use facts and figures to explain why their solution is the best. Business proposals and sales talks are common examples.

For instance, a new company seeking funding might create a presentation to convince investors to support their idea. This presentation could explain a problem they see in the market, how their company solves it, and how they plan to make money. A similar presentation could also be used to secure additional funding for growth and future plans.

4. Motivational Presentation

Motivational presentations aim to lift up the audience’s spirits and help them deal with challenges. They spark interest in a subject and share a particular perspective or message. These presentations can be useful when you want to inspire a group of people. Sometimes, they might even use a personal story to connect with the topic.

Leaders in organizations often use motivational presentations to boost employee morale and encourage them to work harder. Recruiters might also use them to showcase employee success stories and get potential hires excited about joining the company.

5. Problem-solution Presentation

Have you ever needed to present an idea to help people make a decision? Problem-solution presentations are a great way to do that. They focus on explaining a challenge or issue and then offering potential solutions for the audience to consider. While similar to persuasive presentations, the main goal here is to discuss the problem clearly and share research so decision-makers can weigh the options and choose the best path forward. These presentations can include details about the problem and a few possible solutions. They’re a handy tool for many business meetings and discussions within organizations.

6. Project Presentations

Progress presentations are a way to share how a project, campaign, or initiative is moving along. They’re similar to progress reports, but in a presentation format.

These presentations typically cover a few key points:

• Important measurements : This could include numbers or data that show how the project is doing.
• Current status : An update on where things stand at the moment.
• Potential roadblocks : Any challenges that might come up down the line.
• Tasks still to do : What needs to be completed next.

Project teams often use progress presentations to share updates on their work. This allows clients, colleagues, or other interested parties to stay informed and ask questions if needed.

7. Storytelling Presentations

Presentations that use a story format can be a great way to connect with your audience and share information in a more engaging way. This approach can be useful in many settings, from classrooms to company meetings. It can be especially helpful when you want to grab the attention of a specific group of people and make them feel involved.

Storytelling presentations might include personal stories or examples that relate directly to the main topic. For instance, if you’re in marketing, you could use a story format to present a case study to your colleagues about a competitor’s product and its success.

Checkout Our Templates for Your Product Marketing Download Marketing Presentation Templates Now!

8. Visual Presentations

Presentations come in many forms, but some rely mostly on pictures, charts, and other visuals instead of text. These are called visual presentations. They’re a good choice when you have limited time or your topic is easy to understand with pictures.

The goal of a visual presentation is to help people grasp the information quickly and keep them engaged. Businesses often use them to show what their products or services can do. For instance, a company selling shampoo might use before-and-after pictures to show the results.

Tips for Delivering an Effective Presentation

• Taking Notes: To help remember what to say during your presentation, jot down some brief notes. Keep them simple and focused on keywords or short directions. This will allow you to connect with your audience and avoid missing any important points.
• Knowing Your Audience: A little research about your audience before your presentation goes a long way. Understanding who they are and what they might be interested in helps you tailor your presentation to better address their needs and expectations.
• Planning for Interaction: Think about how much audience interaction you want based on the length, purpose, and type of information in your presentation. This may involve allocating more time for questions and discussion.
• Know yourself: Think about how comfortable you feel speaking in front of a group, especially if you don’t know everyone. Consider your strengths and weaknesses as a presenter and how you can play to your strengths and improve on your weaknesses.
• Practice Makes Perfect: Practicing your presentation beforehand, regardless of your experience level, can boost your confidence and help you identify areas for improvement. Go through each slide while talking to solidify the flow. Recording yourself can also be helpful.
• Be Prepared: Technical problems can happen, so having a plan can help you avoid delays. If it’s an in-person presentation, arriving early allows you to check the venue and ensure the equipment works properly.

How Does Slides AI Help with Presentations?

As you’ve explored, presentations come in various forms, each serving a distinct purpose and requiring a tailored approach. But regardless of the type, creating an impactful presentation can be time-consuming. This is where Slides AI steps in to streamline the process.

By leveraging SlidesAI’s functionalities – from generating outlines and suggesting designs to offering content recommendations – you can significantly reduce the time and effort invested in crafting your presentation. This frees you to focus on the finer details, like refining your message and practicing your delivery.

A well-organized and visually appealing presentation can really grab your audience’s attention and help them understand your message better. SlidesAI can help you achieve that, turning you from someone who just puts slides together into someone who can communicate confidently and leave a lasting impression.

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Frequently Asked Questions

How can i grab attention at the beginning of my presentation.

There are several ways to hook your audience from the start. Try opening with a surprising fact, a thought-provoking question, or even a short, interesting story related to your topic.

How long should my presentation be?

Ideally, aim for a presentation between 10-20 minutes. This timeframe allows you to cover the important points without losing your audience’s attention.

What are the 5 keys to a successful presentation?

Here are 5 keys to delivering a pitch-perfect presentation:

• Know your audience
• Master your material
• Make it a conversation
• Be adaptable
• Show empathy

Which presentation software should I use?

Several popular options are available, including Microsoft PowerPoint, and Google Slides . The best choice depends on your specific needs and comfort level. Additionally, SlidesAI.io is a helpful tool for creating visually engaging presentations. Consider your needs and choose the software that best suits you.

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Scientific Data Presentation: a Picture Is Worth a Thousand Words

• Research Process
• Peer Review

Graphs and tables are powerful storytelling tools and are critical components of scientific publications. Learn different ways to present data and things to consider

Updated on September 9, 2020

Why are graphs and tables important in scientific publications?

Graphs and tables are powerful storytelling tools and are critical components of scientific publications. Often readers will skip reading the main text of the manuscript entirely and will only look at the display items. Large complex datasets that would be complicated to explain in words can be quickly communicated via tables and figures. Therefore, it is important that your display items clearly communicate your most important findings and can stand alone from the text. Tables are an easy way to summarize large amounts of data, and a well-composed figure can convey a convincing argument just by visualizing the data. Below we present some guidelines to consider when presenting data in a manuscript.

Different ways to present data and things to consider

Tables are a concise and effective way to present large amounts of data. If you simply want to summarize specific information or if your message requires precise values, you should use a table. Tables are also a convenient display tool when you have many different units of measure, which can be difficult to present in an easy-to-read manner in a graph.

A well-designed table should have:

• clearly defined categories divided into rows and columns
• sufficient spacing between columns and rows
• clearly defined units
• easy-to-read font type and size
• a clear and concise legend or caption

Tables are a great way to present large amounts of data; however, they can take a long time to interpret and do not easily communicate data trends. The viewer must connect the dots between the data to see these trends in tables. When you want to show the relationship of the data, illustrate trends, or make comparisons, data plots are best.

2. Data plots

Data plots can quickly convey information from large quantities of data and are often used to show a functional or statistical relationship between two or more items.

Well-designed data plots should have:

• clearly labeled axes
• clearly specified units for the quantities displayed
• clearly defined plot elements in the legend (e.g., error bars, significance notations)

Data plots are used to display quantitative data or objective measurements or counts that can be either discrete or continuous. Examples of quantitative data include weight, height, temperature, counts, etc.

2.1 Discrete data

Discrete quantitative data are counts of categorical data and cannot be meaningfully divided into smaller increments. For example, a single household can have 1 or 2 pets, but it cannot have 1.5. Only a finite number of possible values can be recorded for a single observation.

Common display formats for discrete data include:

• Bar graphs: Bar graphs are a standard way to display discrete variables where each bar represents the proportion of observations within each category.

Figure 1. Bar graph summarizing questionnaire responses.

• Line graphs: Line graphs are a useful way to graph changes in discrete variables (usually over time).

Figure 2. Line graph summarizing the number of recovered patients over time.

2.2 Continuous data

Continuous data can take on any numeric value and can be divided into smaller increments, including fractional and decimal values. There are an infinite number of possible values between any two values. Measurements such as height, weight, and temperature can take on any numeric value, including fractional or decimal values, and are all examples of continuous data.

Common display formats for continuous data include:

• Histograms: Histograms show the distribution of continuous data and illustrate whether the distribution is symmetric (i.e., normal) or skewed.

Figure 3. Normal vs. skewed distributions displayed as histograms.

• Dot plots: Dot plots also show the distribution of data but are especially useful for highlighting clusters of data points and outliers.

Figure 4. Example of clustered data points and data point outlier displayed as dot plots.

• Box plots: Box plots are useful for displaying continuous variables divided into groups as box plots display the central tendency, spread, and outliers of each group.

Figure 5. Average monthly temperatures.

• Scatterplots: Scatterplots show the relationship between two continuous variables. Correlations often accompany scatterplots to assess the strength of the relationship.

Figure 6. Scatter plot demonstrating a positive and negative relationship and the corresponding Pearson's correlations.

Avoid using bar or line graphs to plot continuous data. Bar and line graphs obscure the data distribution and don't provide a complete picture to the reader as many different distributions can produce similar bar and line graphs. The figure below demonstrates how different datasets can produce the same bar graph.

Each of the scatterplots displayed on the right could produce the bar graph shown on the left which shows a difference between groups. The data shown in panel B demonstrate that the data are symmetrically distributed with a high degree of overlap between groups. In panel C, the difference between groups is largely driven by an outlier. The data shown in panel D are bimodally distributed in each group, suggesting potential subgroups that may warrant further investigation. In panel E, there are twice as many data points in Group A as there are in Group B. The narrower distribution of Group B may simply be due to the fact that there are fewer data points suggesting that more data are needed to verify the apparent between group difference.

Summary statistics (e.g., the bar graph above) may suggest conclusions that differ from what is concluded from the full dataset. When displaying continuous data, be sure to use a graph format that clearly indicates the distribution of the data so that readers can appropriately interpret the data.

Figure 7. Example of different data distributions producing the same bar graph. The data shown in panels B-E could all produce the bar graph shown in panel A.

The reader's understanding of a dataset is limited to what the authors present in their manuscripts. Figures and tables are an effective tool for communicating large amounts of data that would be complicated to explain in text. When composing a figure, be sure to choose a graph format that fully describes the data and provides readers with a complete picture. To make the most of your figures, consider the question that you aim to ask, the type of data that you are presenting, and what your readers can learn from it.

Published on 09/10/2020

Roma Konecky, PhD

Editorial Quality Advisor

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• Presentation of Data

Data Presenting for Clearer Reference

Imagine the statistical data without a definite presentation, will be burdensome! Data presentation is one of the important aspects of Statistics. Presenting the data helps the users to study and explain the statistics thoroughly. We are going to discuss this presentation of data and know-how information is laid down methodically. 

In this context, we are going to present the topic - Presentation of Data which is to be referred to by the students and the same is to be studied in regard to the types of presentations of data. 

Presentation of Data and Information

Statistics is all about data. Presenting data effectively and efficiently is an art. You may have uncovered many truths that are complex and need long explanations while writing. This is where the importance of the presentation of data comes in. You have to present your findings in such a way that the readers can go through them quickly and understand each and every point that you wanted to showcase. As time progressed and new and complex research started happening, people realized the importance of the presentation of data to make sense of the findings.

Define Data Presentation

Data presentation is defined as the process of using various graphical formats to visually represent the relationship between two or more data sets so that an informed decision can be made based on them.

Types of Data Presentation

Broadly speaking, there are three methods of data presentation:

Diagrammatic

Textual Ways of Presenting Data

Out of the different methods of data presentation, this is the simplest one. You just write your findings in a coherent manner and your job is done. The demerit of this method is that one has to read the whole text to get a clear picture. Yes, the introduction, summary, and conclusion can help condense the information.

Tabular Ways of Data Presentation and Analysis

To avoid the complexities involved in the textual way of data presentation, people use tables and charts to present data. In this method, data is presented in rows and columns - just like you see in a cricket match showing who made how many runs. Each row and column have an attribute (name, year, sex, age, and other things like these). It is against these attributes that data is written within a cell.

Diagrammatic Presentation: Graphical Presentation of Data in Statistics

This kind of data presentation and analysis method says a lot with dramatically short amounts of time.

Diagrammatic Presentation has been divided into further categories:

Geometric Diagram

When a Diagrammatic presentation involves shapes like a bar or circle, we call that a Geometric Diagram. Examples of Geometric Diagram

Bar Diagram

Simple Bar Diagram

Simple Bar Diagram is composed of rectangular bars. All of these bars have the same width and are placed at an equal distance from each other. The bars are placed on the X-axis. The height or length of the bars is used as the means of measurement. So, on the Y-axis, you have the measurement relevant to the data. 

Suppose, you want to present the run scored by each batsman in a game in the form of a bar chart. Mark the runs on the Y-axis - in ascending order from the bottom. So, the lowest scorer will be represented in the form of the smallest bar and the highest scorer in the form of the longest bar.

Multiple Bar Diagram

(Image will be uploaded soon)

In many states of India, electric bills have bar diagrams showing the consumption in the last 5 months. Along with these bars, they also have bars that show the consumption that happened in the same months of the previous year. This kind of Bar Diagram is called Multiple Bar Diagrams.

Component Bar Diagram

(image will be uploaded soon)

Sometimes, a bar is divided into two or more parts. For example, if there is a Bar Diagram, the bars of which show the percentage of male voters who voted and who didn’t and the female voters who voted and who didn’t. Instead of creating separate bars for who did and who did not, you can divide one bar into who did and who did not.

A pie chart is a chart where you divide a pie (a circle) into different parts based on the data. Each of the data is first transformed into a percentage and then that percentage figure is multiplied by 3.6 degrees. The result that you get is the angular degree of that corresponding data to be drawn in the pie chart. So, for example, you get 30 degrees as the result, on the pie chart you draw that angle from the center.

Frequency Diagram

Suppose you want to present data that shows how many students have 1 to 2 pens, how many have 3 to 5 pens, how many have 6 to 10 pens (grouped frequency) you do that with the help of a Frequency Diagram. A Frequency Diagram can be of many kinds:

Where the grouped frequency of pens (from the above example) is written on the X-axis and the numbers of students are marked on the Y-axis. The data is presented in the form of bars.

Frequency Polygon

When you join the midpoints of the upper side of the rectangles in a histogram, you get a Frequency Polygon

Frequency Curve

When you draw a freehand line that passes through the points of the Frequency Polygon, you get a Frequency Curve.

Ogive 

Suppose 2 students got 0-20 marks in maths, 5 students got 20-30 marks and 4 students got 30-50 marks in Maths. So how many students got less than 50 marks? Yes, 5+2=7. And how many students got more than 20 marks? 5+4=9. This type of more than and less than data are represented in the form of the ogive. The meeting point of the less than and more than line will give you the Median.

Arithmetic Line Graph

If you want to see the trend of Corona infection vs the number of recoveries from January 2020 to December 2020, you can do that in the form of an Arithmetic Line Graph. The months should be marked on the X-axis and the number of infections and recoveries are marked on the Y-axis. You can compare if the recovery is greater than the infection and if the recovery and infection are going at the same rate or not with the help of this Diagram.

Did You Know?

Sir Ronald Aylmer Fisher is known as the father of modern statistics.

FAQs on Presentation of Data

1. What are the 4 types of Tabular Presentation?

The tabular presentation method can be further divided into 4 categories:

Qualitative

Quantitative

Qualitative classification is done when the attributes in the table are some kind of ‘quality’ or feature. Suppose you want to make a table where you would show how many batsmen made half-centuries and how many batsmen made centuries in IPL 2020. Notice that the data would have only numbers - no age, sex, height is needed. This type of tabulation is called quantitative tabulation.

If you want to make a table that would inform which year’s world cup, which team won. The classifying variable, here, is year or time. This kind of classification is called Temporal classification.

If you want to list the top 5 coldest places in the world. The classifying variable here would be a place in each case. This kind of classification is called Spatial Classification.

2. Are bar charts and histograms the Same?

No, they are not the same. With a histogram, you measure the frequency of quantitative data. With bar charts, you compare categorical data.

3. What is the definition of Data Presentation?

When research work is completed, the data gathered from it can be quite large and complex. Organizing the data in a coherent, easy-to-understand, quick to read and graphical way is called data presentation.

Presentation of Data

Data can be represented in countless ways. The format for the presentation of data will depend on the target audience and the information that needs to be relayed. In the end, data should be presented in such a way that interpretation and analysis is made easy. Let us see some ways in which we represent data in economics.

• Diagrammatic Presentation of Data
• Textual and Tabular Presentation of Data

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Data Presentation Techniques that Make an Impact

P resenting data doesn’t need to be boring. In fact, it is a great way to spice up your presentations and share important facts and figures with your audience. Data has the power to be engaging, persuasive and memorable.

If you have a compelling story to tell with data, you should present it in a clear and powerful way. We will help you get started with a few effective data presentation techniques!

If you’d like more information about designing great presentations, download our new eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps.’

Get the Complete Guide !

What presentations benefit from data.

Data doesn’t necessarily make all presentations better, but certain types of presentations are prime for the incorporation of data visualizations:

• Sales Reports
• PR and Marketing Research
• Marketing and Advertising Campaigns
• Executive and CEO Presentations
• Educational Reports
• Political Speeches
• Annual Reports
• Shareholder Presentations
• Financial Reports
• Product Launches, and more!

Why Use Charts in Presentations?

Visuals make information stick in our brains . A study from the Wharton School of Business found that 67% of the audience surveyed were persuaded by verbal presentations that had accompanying visuals. Charts are great visual aids for multiple reasons:

• Charts are easy to read
• Charts are visually appealing
• Charts simplify complex information
• Charts make it possible to quickly make comparisons and spot trends
• Charts are memorable and make an impact
• Charts give your presentation credibility

How to Add Data to Your Presentation

1) define your message.

Before you can even think about adding data to your presentation, you need to ask yourself, ‘what story am I trying to tell?’ Once you have a concrete idea of what your message is, you’ll have an easier time crafting the right visualization to share with your audience.

2) Clean and Organize Your Data

Now that you know what point you want to make with your data, it’s time to make sure your numbers are ready to be visualized. Every good data visualization starts with good data. Make sure your spreadsheet is formatted and labeled exactly how you want it. Think about the message you want to share with your data and get rid of anything that doesn’t help you tell your story.

Data that is clean and organized is easier to display and analyze. Here are five awesome free data analysis tools to help you extract, clean, and share your data.

3) Pick the Right Chart Type

We can’t emphasize enough how important it is to make sure you pick the right chart type for the data you want to present. While your data might technically work with multiple chart types, you need to pick the one that ensures your message is clear, accurate, and concise.

4) Simplicity is Key

Charts and graphs turn complex ideas or data sets into easy-to-understand visual concepts. Remember that your data is the star of the show, so keep it simple. Avoid visual clutter, excessive text, poor color selection, and unnecessary animations. Make sure your legend and data labels are printed in a large, visible font. You don’t want your audience to get distracted. Less is more!

5) Create a Narrative

People understand stories better than they understand spreadsheets. Craft a compelling story around your data to make it memorable. Find a way to drive emotion from the numbers. Give your audience something they can relate to and resonate with. Data visualization speaker Bill Shander offers five tips to make you a better data storyteller.

6) Visualize Data with Infogram

Before you add data to your presentation you need to visualize it. While many presentation tools allow you to create charts, they often leave much to be desired. Infogram makes it easy to create beautiful, engaging data visualizations your audience won’t forget.

You can embed interactive and responsive data visualizations into your presentations if you’re using Bunkr or any other HTML based presentation platform. Or, if you upgrade to one of our paid plans , you can download static versions of your charts and graphs to enhance your work. You can even make the background of PNG downloads transparent so they slip seamlessly into your presentation.

7) Make a Handout

Leave your audience with a physical or virtual copy of your charts. This makes it possible for them to look at the numbers more closely after your presentation. It’s also nice to include extra information, beyond what you covered, in case someone wants to delve deeper into the material.

Now that you know how to add data to your presentations, it’s time to learn how to design a PowerPoint that really gets people talking. Download our latest eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps’ — for free!

Get the PowerPoint Presentations Guide Here!

Written by Infogram

Infogram is the fastest way to create beautiful, interactive charts, maps and infographics📊 https://infogram.com

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60 Effective PowerPoint Presentation Tips & Tricks (Giant List)

Here's a PowerPoint presentation tips and tricks guide that takes you through how to make a good PowerPoint presentation.

The best PowerPoint presentations shouldn’t be remembered. Instead, they should fall into the background to support you and the message you’re trying to get across.

Unlike good PowerPoint presentations , bad PowerPoint presentations are a distraction. You may remember them, but not in a good way.

You’ve seen them before. They might have millions of lines of text. Or a disjointed flow to the slides. Even worse, some slides feature ugly photos and poor design that detract from the message you’re trying to get across. That can even hurt your credibility as a professional or speaker.

This article will take you from finding your initial topic to learning how to make a great PowerPoint presentation. Our guide covers everything in between so that you learn how to present a PowerPoint like a pro.

These Microsoft PowerPoint presentation tips and guidelines are organized into sections. So cut straight to the advice you need and come back when you’re ready for the next steps.

Guide to Making Great Presentations (Free eBook Download)

Also, download our Free eBook: The Complete Guide to Making Great Presentations . It’s the deepest resource for learning effective presentation skills for a PPT.

This eBook covers the complete presentation process. It takes the PowerPoint tips and tricks you learn in this article further. Learn how to write your presentation, design it like a pro, and prepare it to present powerfully. It’s another great source for presentation design tips.

Master PowerPoint (Free Course): 15 Essential Tips

This article is full of helpful tips so you can build a powerful presentation. You can also find more PowerPoint tips in this video lesson:

To learn even more about how to make a PowerPoint look good, review the huge list of tips below.

What Makes a PowerPoint Presentation Effective?

Knowing how to use PowerPoint and work within it quickly is helpful. But more important is making a good presentation that hits all your goals. A great PowerPoint presentation is:

• Prepared to Win . Research, plan, and prepare your presentation professionally. It helps you deliver an effective message to your target audience.
• Designed Correctly . Your visual points should stand out without overwhelming your audience. A good PowerPoint visual shouldn’t complicate your message.
• Practiced to Perfection . Rehearse your timing and delivery so that your points land as practiced with a live audience.
• Delivered With Poise . Present with a relaxed inner calm and confident outward projection. Give your audience warmth, excitement, and energy.
• Free From Mistakes . Avoid typos, cheesy clip art, and mistakes like reading directly from your slides.

Consider this your all-inclusive guide to how to make a good presentation. We’ll look at preparing your presentation and explore how to design it in PowerPoint. Plus, we’ll cover how to practice and nail your delivery successfully come presentation time.

We’ll also address what not to do in these tips for PowerPoint presentations—so you can sidestep any big mistakes. Now let’s dig into these tips for effective PowerPoint presentations.

Killer Presentation Preparation Tips to Get Started Right

Before even opening PowerPoint, start by addressing these things. These Microsoft PowerPoint tips and tricks will ensure that you’re prepared for your presentation:

1. Know Your Stuff

Your presentation isn’t about your slides alone. It’s about the message you want to get across. Before filling in stats, facts and figures, think about the narrative that’ll be discussed, why, and in what order.

2. Write It Out

Start in a Word or Google doc, and storyboard or script the entire presentation. This will give you an idea of how the information presented will flow and how viewers will see it in sequence. Learn the complete writing process .

3. Highlight What’s Most Important

A presentation covers the most crucial pieces only. Whatever you’ve been working on that led to this—a paper, a work project, a new product design—doesn’t need to be shared in its entirety. Pick key points and put the rest in an “Appendix” to refer to during the Q&A session at the end.

4. Know Your Audience

How you talk to a room full of medical professionals should be different from the way you address a room full of young entrepreneurs. Everything, in fact, is different: your topic selection, the language you use, the examples you give to illustrate points. The little bits of humor you include should be tailored specifically with your target audience in mind.

Understand your audience’s needs to create a successful PowerPoint presentation. Customize your content to meet their specific requirements.

5. Rehearse! (Yes, Already)

It’s never too early to get used to the rhythm of your presentation and take note of points you want to emphasize. While saying it out loud, you’ll start to develop a “feel” for the material. You’ll notice that some things work well, while others don’t and might need to be worked around.

6. Rewrite After You Rehearse

As you’re rehearsing your presentation, you’re bound to stumble over sections that don’t quite flow naturally. Instead of reworking your delivery, it might be time to consider the content and rewrite the areas that served as stumbling blocks.

“Editing is hard. ‘It’s good enough,’ is a phrase wannabes use. Leaders take editing seriously.” – Anthony Trendl

The most important part of creating a great presentation is the writing stage. The second most important stage is rewriting.

7. Share With a Friend

If the stakes are high for your presentation, it’s never too early to get feedback from those that you trust. Here’s an article that helps you collaborate as a team on a PowerPoint presentation. Get PowerPoint design tips from those that you trust when you collaborate.

Simple Tips to Design Your PowerPoint Presentation Better

Second only to you (the information you bring and how you present it) is your PowerPoint slides. If not designed well, a PowerPoint can be disengaging or distracting (regardless of the content quality). Here are some presentation design tips to make sure this doesn’t happen to you:

8. Keep Your Slides Simple

This is one of the most important PowerPoint presentation tips to follow when designing your slides. Keep in mind that less is more (effective.) A cluttered slide is distracting. It causes confusion for an audience: Which part of the slide should I focus on? Should I read the slide or pay attention to the presenter?

A simple, visually appealing slide will engage your audience, keeping them on track with your main points. Here’s an example of a simple slide that serves its purpose perfectly:

Minimalist slide templates like Nook can help you resist the urge to clutter your slides.

9. Limit Words on Your Slides

Piggybacking on the last point, less is more effective. If possible, avoid bullets altogether. Otherwise cut them to just a few simple words. The audience should be listening, not reading.

10. Use High-Quality Photos and Graphics

One of the most important tips for quality PowerPoint presentations is to use high-quality photos and graphics.

Earlier in this tutorial, you saw Envato Elements, an all-you-can-download service with PPT tips inside of templates. Those pre-built designs are a beginner’s best friend. They’re even better when paired with Elements’ unlimited library of stock photos .

People are more likely to take you seriously if your presentation is visually appealing. Users view attractive design as more usable. Similarly, they’ll view a more attractive PowerPoint as more effective.

11. Use Accurate and Relevant Charts and Graphs

Charts and graphs can also be distracting if they’re not used right. Make sure your information design is simple and clean so that the audience doesn’t spend the entire time trying to decipher what your X axis says. Learn more about PPT data presentation .

12. Use High-Quality, Fresh Templates

Have you seen the old PowerPoint template that looks like worn paper and uses ink splashes? Yeah, so has your audience. Templates can be distracting if they’re too basic or if the design feels dated. You need one with great design options.

Costs are always a concern. But when you use Envato Elements, you’ve got everything you need to create a great PowerPoint presentation . That’s thanks to the incredible all-you-can-download subscription package.

The best PowerPoint tips and tricks can hardly compare to the value of using a template while building your presentation.

On Envato Elements, there are thousands of PowerPoint design templates that are ready to use. Instead of designing a presentation from scratch, start with a template! Just add your specifics to the placeholders.

Templates like Galaxi are impressively designed and waiting for your slide specifics.

The best PowerPoint design tips save you time. And there’s no tip more powerful than this one: use a pre-built template . It helps you master how to present a PowerPoint without spending all your time in the app.

13. Choose Appropriate Fonts

Fonts are an important part of engaging your audience. Fonts and typography choices have a subconscious effect on viewers. They can characterize your company’s presentation and brand either positively or negatively. Make sure that you’re choosing fonts that are professional and modern.

14. Choose Color Well

Like font choice, colors cause specific subconscious reactions from viewers. Choosing an outdated color combination for your presentation will render it ineffective.

Below is an example of the Popsicle PowerPoint template , which has a modern presentation color choice:

The Popsicle PowerPoint template highlights how harmonized color palettes can create beautiful slides.

15. Clean + Simple Formatting Makes All the Difference!

We’ve got a full tutorial on how to make a good presentation slide . Give it a read through and review the accompanying video. Just remember, less is more. The focus is you and your message , not your slides.

16. Make Sure All Objects Are Aligned

A simple way to create a well-designed presentation is to make sure all items on a slide are intentionally aligned. To do this, hold down Shift and select all the objects you want to include. Then choose Arrange in the options bar and apply Alignment Type .

17. Limit Punctuation

This isn’t the place for exclamation points. Emphasize your points (while speaking). Don’t enlist punctuation to do this for you. (Leave these at home!!!)

18. Avoid Over-Formatting Your Points

This PowerPoint presentation tip is simple. There’s no need to have every word of every bullet point capitalized, or to have all your bullet points in title case. If possible, drop bullets altogether. Again, the simpler, the better!

Limit your text formatting, including reducing the use of bullets, underline, and other effects. Compare the before example on the left to the revised version on the right.

19. Combine Information With Graphics in PowerPoint

One of the most powerful presentation skills for PPT is using infographics. With the right type of visuals, slides come to life and reduce the text in favor of graphics.

Infographics help combine information with graphics. It’s easier to explain complex ideas when you use visual formats that are intuitive.

Practice Presentation Tips: Rehearse, Rehearse, Rehearse!

Delivery is probably more important than the actual content. Here’s how to become more aware of your own unique ticks, and how to present like a polished pro:

20. I’ll Say It Again, Rehearse!

Just do it. Again and again. Experiment with pauses, gestures, and body language. Practice around one hour for every minute of your speech.

21. Practice With a Timer

Consistency is key to an effective PowerPoint presentation. The timing should be similar (ideally the same) each time you rehearse. This one will especially pay off when it’s time to present in front of your audience.

22. Slow It Down

Many of the best speakers today intentionally speak slowly. You’ll have the chance to emphasize, appear more thoughtful, and make your information easier to digest.

23. Pause More Often

Like the prior tip, pausing more often allows your main points to be emphasized and gives time for information to sink in. You need to let key points breathe a little before rushing into the next section.

24. Record Yourself

Use your phone’s voice recorder. Assess and critique yourself. Consider:

• Are your pauses too short or too long?
• Are you speaking slowly enough? Too slow?
• When you’re nervous, does your voice get high like the mice in Cinderella?

It’s always weird to hear your own voice recorded; don’t stress it. Use this as a time to adjust.

25. Choose Three Focal Points in the Room

If you stare at the same spot (or even creepier, the same person) the entire time, your presentation will be ineffective (and awkward.) People will be distracted by you, wondering what you’re staring at.

Try this: pick three points in the room (typically: left, center, right). Take time to direct your delivery toward each physical focal point in the room. Also, focus on the center when making your primary points.

26. Vary Your Sentence Length

This makes you sound more interesting, and it’s easier for your audience to follow. Think short and punchy. Or go long and complex for dramatic effect.

27. Modulate!

Don’t speak in monotone for your whole presentation. Be conscious of raising and lowering your voice tone. Otherwise, people will tune you out, and you’ll come across like the teacher in Charlie Brown.

28. Practice in Front of a Mirror

What you look like is as important as how you sound. Pretend you’re having a normal conversation, and allow your hands to move with your speech to emphasize your points. Just don’t get carried away! (I’m thinking Brene Brown or President Obama , not your Aunt Jamie after a few gin and tonics.)

29. Use “Present Mode” When Rehearsing

When you finally are ready to hit the Present button in PowerPoint, make sure you use the Present Mode option. This allows you (and only you) to view extra notes about each slide—just in case you forget something!

30. Practice With New Audiences

If possible, try doing a few real live test runs as a webinar or even at a local Toastmasters organization to get some feedback from a live audience.

31. Engage the Audience by Asking Questions

There’s no reason that a presentation should be one-sided. Why not invert the format and ask your audience a question?

To learn how to create a slide that kicks off a Q&A, use this article . These PowerPoint design tips help you create an engaging and exciting discussion.

Helpful Tips to Step Up and Deliver Come Presentation Time

When the actual day arrives, there are only a few last PowerPoint presentation tips and guidelines to keep in mind:

32. Take a Deep Breath

Deep breathing is proven to relieve stress. It’s simple, and it’ll help you remain calm and in the moment, even up to the last minute before starting.

33. Lighten Up Your Mood

Tell yourself a joke or watch a funny video clip. Do this before the presentation, of course. Research concludes that happy people are more productive. More productive is more focused and able to perform better.

34. Remind Yourself to Take It Slow

When we’re stressed or nervous (or both), we tend to speak faster. Consciously, take yet another deep breath and remind yourself to take it slow!

35. Read the Room

Every presentation room has a temperature. It’s your job as a speaker to gauge it and tailor your presentation to it.

Here’s a great example. Layoffs are coming at a company, and you’re asked to speak to an audience. Even if the audience isn’t personally affected by the actions, you’ve got to consider the morale of the workforce.

Skilled speakers have a knack for reading the energy of the room and adjusting their presentation on the fly.

The last thing that group will want to hear is how strong the economy is and why the company is the best place to work. That doesn’t mean that you’ve got to align to their uncertainty, but don’t go too far against the grain while presenting.

Robert Kennedy III is a master of bringing energy and aligning a speech to the audience. Here’s his advice for adjusting:

“It can be hard to wake up a “dead” crowd but go for it. Most of all, don’t take their energy personally. Focus on serving them with every bit of your fiber then leave empty.”

36. Fake It ‘Til You Make It!

Go forward with confidence. If you act confident, you’ll start to feel more confident. Move slowly with grace, speak clearly, smile, wear something nice. You’ll appear confident to all attendees (no matter how you feel internally).

PowerPoint Presentation Tips and Tricks to Help Avoid Mistakes (What Not to Do)

Most importantly, focus on what you can do to make your presentation better. There are a few important things not to do that we’ve got to address. Here are a handful of PowerPoint presentation tips and tricks to help you avoid missteps.

37. Stop With the Sound Effects

Sound effects are distracting and outdated. In most cases, avoid them. Add audio or music to your presentation to inject interest or highlight an important point, but it’s something to take extra care with. If you insert audio, then make sure your use really connects with your audience and has a fresh approach. Otherwise, it’s best to leave it out.

38. Don’t Use Flashy Slide Transitions

Again, this is distracting and outdated. Use transitions and subtle animations in your PowerPoint presentation. But you need to take care and do it right .

39. Beware of Clip Art

This PowerPoint presentation tip shouldn’t even have to be said. But please, please don’t use clip art. Use professional graphics instead.

40. Don’t Be Afraid to Be Afraid

The fear of public speaking is a real one. Many beginners think that if they’re feeling nervous that a presentation won’t go well or succeed. That might lead them to cancel the presentation.

Here’s a tip from expert Sandra Zimmer, who leads The Self-Expression Center on conquering your fears before you take the stage:

“Get out of your head and into your body. I do this through a grounding exercise that really works to calm nerves and bring you present in the moment.”

If you think that public speaking fears aren’t normal, you might never give your award-winning presentation. So don’t be afraid to be afraid, and acknowledge it’s part of the process!

41. Don’t Read Directly During Your PowerPoint Presentation

If you spend your entire presentation looking at the screen or your note cards, you’re sure to lose your audience’s attention. They’ll disengage from what you’re saying, and your presentation will fall flat.

Reading from your paper or screen also makes it look like you’re not prepared. Many people do it, but no one should. As a general rule, only present something you know well and have, at least mostly, memorized the main points of.

42. Don’t Miss Out on PowerPoint Customizations

Many new PowerPoint users often make significant mistakes when using Envato Elements designs.

The best way to see how to make a good presentation PPT is to start with designs from others. That means using a template, but that doesn’t mean you can’t customize them!

Don’t forget that PowerPoint templates are infinitely customizable. Think of them as guides with built-in presentation design tips.

To see more presentation tips that show you what not to do, make sure to check out our guide .

Work in PowerPoint More Effectively (Tips & Tricks to Level Up Your PPT Skills)

These PowerPoint tips will help you get the most out of the application to level up your next presentation. Let’s dive in.

43. Use the Visual Guides

When you’re designing your next PowerPoint presentation, it helps to create a sense of visual rhythm. Slides that have objects aligned and centered are more likely to resonate with an audience.

44. Use a Few Animations (Tastefully)

Animations in effective PowerPoint presentations are a slippery slope. We’ve all sat through presentations where there were so many objects in motion that it was easy to lose focus on the key ideas in the presentation.

But that’s why animations get an unfairly bad reputation. Use animations to create motion and hold an audience’s attention. Use them sparingly and on key elements on your slide, and you’ll capture that attention properly.

45. Stage Key Content With Animations

You just learned that animations should avoid being distracting. But there’s an important principle to using animations properly. It’s called staging content.

Staging content means that the content appears step by step. There’s nothing worse than overwhelming an audience with all your content at once. But when you stage content, bring it on step by step.

Take it from presentation pro Suzannah Baum :

“If you’re sharing a slide with lots of different points on it, using the animation to reveal those points one at a time is a way to keep the presenter’s content flowing smoothly.”

For more animation presentation tips and tricks, follow our guide .

46. Add a Video to Your PowerPoint

When you’re sharing a big idea in your presentation, it helps to share your perspective from a few different angles. Adding a video to supplement your content can do just that. Luckily, it’s easy to add and embed a YouTube video in your next PowerPoint presentation.

47. Add Charts & Graphs

Charts and graphs can help you tell stories with data. It’s easy for an audience to zone out when you throw a big data table or set of statistics at them.

instead, convert those to charts and graphs. Try out our tutorial to learn how to edit those graphs.

48. Build Your Own Infographics With SmartArt

Earlier in this tutorial, we gave you one of my favorite PowerPoint design tips: use infographic templates.

Here’s another. One of my favorite PowerPoint features is SmartArt, which allows you to build infographics right inside the app.

You don’t have to use another graphic design app like Photoshop or Illustrator to add visuals. Instead, try out SmartArt to help you build graphics that are easy to update.

49. Use Presenter View

Remember that when you use the PowerPoint, you’ re the presentation. The slides are just there to reinforce what you’ve got to say and support your speaking points.

That’s why I always recommend using Presenter view. More often than not, you’re going to have several displays. Presenter view shows your content on your screen, while your presentation is displayed on another screen.

50. Track Your PowerPoint Changes

One of my favorite PowerPoint design tips is to collaborate. Those who know you best will suggest compelling changes that are sure to help you succeed.

As you start collaborating on your presentation, it helps to keep track of proposed and included PowerPoint changes. Use this article to track changes made by others.

10 More Advanced PowerPoint Tips & Tricks

Really need to wow an audience with a good PowerPoint presentation? Give these tips a try to make an unforgettable impression:

51. Engage With an Interactive Quiz

A good PowerPoint presentation gets your audience involved. One of the best PowerPoint tricks is to do that with a quiz. By engaging audiences, a quiz makes your slides memorable.

By adding trivia, you’ll see how to present a PowerPoint in a way that people will love. Channel your inner game-show host today. MIDTEST is a  good PowerPoint presentation  with quiz slides.

52. Illustrate With Custom Image Masks

One of the top PowerPoint tips is to illustrate your slides. But you can go beyond simple, rectangular images on each slide.

The Burte template is full of  PowerPoint tricks , including custom image masks. Image masks shape photos into unique works of art. And thanks to premium templates, you can style photos just like this. Masks overlay your photos onto geometric shapes, instantly elevating your style.

53. Print Handouts With Extra Notes

Wonder how to give a good presentation PPT that audiences will remember? Give them a piece of it to take home.

PowerPoint makes it easy to print handouts with room for notes on the page. This way, audiences can keep copies of your slides, along with their own notes. This is the perfect way to ensure everyone engages with and retains your content.

54. Make Bulk Edits With Master Slides

When you think about how to present a PowerPoint, consider your branding. That means keeping your logo front and center in the eyes of an audience. But if you’re working with a lengthy slide deck, this could seem daunting.

That’s where master slides come in. They’re common in premium layouts, and they’re a leading example of presentation skills for PPT. Master slides let you make bulk edits fast.

55. Shrink File Sizes for Sharing

Many of the top presentation tips involve making your slides more accessible. Often, that involves sharing them with audiences online.

You’ll often find that email clients and cloud services limit the size of files that you share. This can be a problem with large PPT slide decks. But there are a few quick steps you can take to reduce PPT file size. Cut graphics, scale down photos, and more.

56. Map Processes With Flowcharts

As you consider how to do a good PowerPoint presentation, think of ease of understanding. After all, you’re trying to explain something to your audience.

The  Flowcharts in Infographics  template seamlessly illustrates ideas and processes. A flowchart maps out a process in a visual way. Instead of resorting to endless narration, try a quick illustration like this. It saves you time and effort, and your audience is sure to thank you.

57. Use Brand-Specific Colors

Using presentation skills for PPT helps form an association between your message and branding. There’s no better way to do that than with your brand colors.

PowerPoint makes it easy to change color themes, adding your brand colors and logo to each slide. This is one of the top PowerPoint tricks for marketing presentations.

58. Build Social Media Posts in PPT

A good PowerPoint presentation doesn’t have to be shared through a projector. Use the app and templates to build amazing illustrations to use anywhere.

A template like Soffee helps you learn how to present a PowerPoint easily with a pre-built design.

Try using PowerPoint to create social media posts. It helps you engage with your audience, with no need to design custom layouts from scratch.

59. Be Industry-Specific

One of the top presentation tips in 2024 is to be industry-specific. That means avoiding generic layouts and choosing something more customized.

This offers two key advantages. First, you save time by having layouts built for you. Second, you gain design inspiration for your specific topic. Themed templates are truly the best of both worlds.

The Medical and Health template is a good PowerPoint presentation with a set theme.

60. Design for Online (Virtual) Sharing

Last but not least in our list of PowerPoint tips comes virtual presenting. More and more often, slides will be shared with online audiences around the globe.

Why not design your slides for that very purpose? And then learn how to share flawlessly with a global team? It’s one of the top presentation tips for 2024. Embrace it today.

More Great PowerPoint Tutorial Resources

We’ve built a resource for Microsoft PowerPoint that you’re sure to want to try. It includes countless PowerPoint tips and tricks. It’s called How to Use PowerPoint (Ultimate Tutorial Guide) and has all the PowerPoint design tips you need.

Discover More Top PowerPoint Template Designs From Envato Elements for 2024

You’ve just seen our favorite powerful PowerPoint presentation tips and guidelines to help you improve your speaking. We’ve also mentioned Envato Elements, an incredible all-you-can-download source for top PowerPoint designs .

Here are five of the best PowerPoint templates that you can use to create your best presentation yet:

1. Galaxi PowerPoint Template

Blast off to success with the help of this PowerPoint template! Think of the pre-built slide designs as pro PowerPoint design tips. They’re built by professional graphic designers. All the popular and modern slide styles that are perfect for your next presentation. Use Galaxi’s five styles and 30 designs to create a great presentation.

2. Masmax PowerPoint Template

We selected templates for this article that match the PowerPoint tips and tricks provided. Masmax fits the bill perfectly across its 234 unique slide designs. These slide designs are sure to align with the latest in design expectations.

3. STYLE Multipurpose PowerPoint Template V50

Style is subjective, but we can all agree that this template is stunning! The light and airy slide designs are built with fashion-focused designs in mind. But that doesn’t mean that it’s not perfect for most presentations. When learning to present a PowerPoint, remember that templates can be customized to suit your purpose.

4. Peachme Creative PowerPoint Template

Peachme has image-focused slides with splashy designs. The slides are colorful and perfect for a modern presentation. Don’t worry about remembering all the PowerPoint design tips because they’re included in the pre-built slides. Use Peachme’s designs for your presentation today.

5. Buizi Office Building Rent PowerPoint Template

Buizi markets itself as a real estate focused template. It’s ideal for that purpose because of the minimal, image-focused slide designs. But that also makes it a perfect choice for presentations in many fields.

We’ve just scratched the surface of PowerPoint design tips with these five options. Here are many more, bundled inside of the best roundups on Envato Tuts+:

How to Build a Good PowerPoint Presentation Quickly (In 2024)

You’ve already seen effective presentation skills PPT techniques. But you may be wondering exactly how to do a good PowerPoint presentation. It only takes a few clicks. Let’s learn how in just five steps.

For this mini-tutorial, we’ll use the Enjoy PowerPoint Template from Envato Elements. You’ll see that it’s a beautiful template that helps you learn how to present a PowerPoint by giving you every object and layout you need.

Let’s get started:

1. Choose Your Slides

As you can see, a template like Enjoy has dozens of unique slides inside. The key to how to give a good presentation PPT is to choose only the slides that you need.

One of the best PowerPoint tricks is to start by selecting slides you wish to use from your template.

In PowerPoint, scroll through the sidebar on the left to view different slide layouts. Right-click and choose Delete to remove unwanted designs. Plus, you can click and drag slide thumbnails to reorder them in the deck.

2. Add Text

Consider how to do a good PowerPoint presentation without investing a ton of time. That’s where premium templates come in.

One of our top presentation tips when working with a PPT is to lean on the pre-built text boxes for your content.

To add custom text, simply click and select the contents of any text box on your slide. Then, type in your own words. Repeat as needed throughout your slide deck.

3. Customize Fonts

With text selected, it’s easy to customize fonts on each slide. Find the Font section on PowerPoint’s Home tab. From there, you’ve got a variety of dropdown options.

Another of our top tips for presentation tricks is to use a custom font setting in your template.

Click to change the font, font size, and more. You can also use the buttons on the left to add bolds, italics, and more.

Need more custom font styles? As an Envato Elements subscriber, you’ve got instant access to thousands of custom fonts . Use them in your presentation with ease.

4. Insert Images

Slides like this one contain an image placeholder. That’s another advantage found only with premium templates. These make adding images a breeze.

Add images to your PPTX template for more visually interesting slides.

To get started, find an image file stored on your computer. Then, drag and drop it over the placeholder. PowerPoint will import it, sized and scaled for a perfect fit.

5. Change Colors

One of the top effective presentation skills is changing shape colors. This helps you control the look and feel of each slide.

With a shape selected, find the Shape Format tab on PowerPoint’s ribbon. Then, click on the Shape Fill dropdown. You’ll see a color chooser menu appear. Click on any thumbnail to apply it to the shape or browse through the Gradient and Texture options.

Start Putting These PowerPoint Presentation Tips & Tricks Into Use Today!

Learning to write, design, and present a PowerPoint presentation is an invaluable skill, no matter where you use it. If you’re a good communicator of important messages, you’ll never go hungry.

Luckily, improving PowerPoint presentations isn’t as hard as it seems. Follow these tips for PowerPoint presentations to design and deliver with greater confidence.

Remember: Less is more (effective) . Use PowerPoint presentation templates for better design and more effective visual impact. And you can customize a PPT template quickly , with the right workflow.

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FACT FOCUS: Here’s a look at some of the false claims made during Biden and Trump’s first debate

President Joe Biden and Republican Donald Trump went right to mixing it up on policy — and each other — in their first presidential debate of the 2024 campaign.

Roger Strassburg, of Scottsdale, Ariz., wears a cowboy hat as he watches the presidential debate between President Joe Biden and Republican presidential candidate former President Donald Trump at a debate watch party Thursday, June 27, 2024, in Scottsdale, Ariz. (AP Photo/Ross D. Franklin)

• Copy Link copied

This combination of photos shows Republican presidential candidate former President Donald Trump, left, and President Joe Biden during a presidential debate hosted by CNN, Thursday, June 27, 2024, in Atlanta. (AP Photo/Gerald Herbert)

FILE - In this combination of photos, President Joe Biden speaks on Aug. 10, 2023, in Salt Lake City, from left, former President Donald Trump speaks on July 8, 2023, in Las Vegas. (AP Photo, File)

President Joe Biden, right, and Republican presidential candidate former President Donald Trump, left, participate in a presidential debate hosted by CNN, Thursday, June 27, 2024, in Atlanta. (AP Photo/Gerald Herbert)

President Joe Biden speaks during a presidential debate hosted by CNN with Republican presidential candidate former President Donald Trump, Thursday, June 27, 2024, in Atlanta. (AP Photo/Gerald Herbert)

Republican presidential candidate former President Donald Trump speaks during a presidential debate hosted by CNN with President Joe Biden, Thursday, June 27, 2024, in Atlanta. (AP Photo/Gerald Herbert)

President Joe Biden and former President Donald Trump traded barbs and a variety of false and misleading information as they faced off in their first debate of the 2024 election .

Trump falsely represented the Jan. 6 attack on the U.S. Capitol as a relatively small number of people who were ushered in by police and misstated the strength of the economy during his administration.

The latest on the Biden-Trump debate

• The debate was a critical moment in Joe Biden and Donald Trump’s presidential rematch to make their cases before a national television audience.
• Take a look at the facts around false and misleading claims frequently made by the two candidates.
• Both candidates wasted no time sparring over policy during their 90-minute faceoff. These are the takeaways .

Biden, who tends to lean more on exaggerations and embellishments rather than outright lies, misrepresented the cost of insulin and overstated what Trump said about using disinfectant to address COVID. Here’s a look at the false and misleading claims on Thursday night by the two candidates.

TRUMP: “They talk about a relatively small number of people that went to the Capitol and in many cases were ushered in by the police.”

THE FACTS: That’s false. The attack on the U.S. Capitol was the deadliest assault on the seat of American power in over 200 years. As thoroughly documented by video, photographs and people who were there, thousands of people descended on Capitol Hill in what became a brutal scene of hand-to-hand combat with police.

In an internal memo on March 7, 2023, U.S. Capitol Police Chief J. Thomas Manger said that the allegation that “our officers helped the rioters and acted as ‘tour guides’” is “outrageous and false.” A Capitol Police spokesperson confirmed the memo’s authenticity to The Associated Press. More than 1,400 people have been charged with federal crimes stemming from the riot. More than 850 people have pleaded guilty to crimes, and 200 others have been convicted at trial.

TRUMP, on then-House Speaker Nancy Pelosi’s actions on Jan. 6: “Because I offered her 10,000 soldiers or National Guard and she turned them down.”

THE FACTS: Pelosi did not direct the National Guard. Further, as the Capitol came under attack, she and then-Senate Majority leader Mitch McConnell called for military assistance, including from the National Guard.

The Capitol Police Board makes the decision on whether to call National Guard troops to the Capitol. It is made up of the House Sergeant at Arms, the Senate Sergeant at Arms and the Architect of the Capitol. The board decided not to call the guard ahead of the insurrection but did eventually request assistance after the rioting had already begun, and the troops arrived several hours later.

The House Sergeant at Arms reported to Pelosi and the Senate Sergeant at Arms reported to McConnell. There is no evidence that either Pelosi or McConnell directed the security officials not to call the guard beforehand. Drew Hammill, a then-spokesperson for Pelosi, said after the insurrection that Pelosi was never informed of such a request .

TAXES AND REGULATIONS

TRUMP, on Biden: “He wants to raise your taxes by four times.”

THE FACTS: That’s not accurate.

Trump has used that line at rallies, but it has no basis in fact. Biden actually wants to prevent tax increases on anyone making less than $400,000, which is the vast majority of taxpayers.

More importantly, Biden’s budget proposal does not increase taxes as much as Trump claims, though the increases are focused on corporations and the wealthy. Trump’s 2017 tax cuts for individuals are set to expire after 2025, because they were not fully funded when they became law.

TRUMP, referring to Jan. 6, 2021, the day a mob of his supporters stormed the Capitol in an effort to stop the certification of Biden’s victory: “On January 6th we had the lowest taxes ever. We had the lowest regulations ever on January 6th.”

THE FACTS: The current federal income tax was only instituted in 1913, and tax rates have fluctuated significantly in the decades since. Rates were lower in the 1920s, just prior to the Great Depression. Trump did cut taxes during his time in the White House, but the rates weren’t the lowest in history.

Government regulations have also ebbed and flowed in the country’s history, but there’s been an overall increase in regulations as the country modernized and its population grew. There are now many more regulations covering the environment, employment, financial transactions and other aspects of daily life. While Trump slashed some regulations, he didn’t take the country back to the less regulated days of its past.

BIDEN: “It’s $15 for an insulin shot, as opposed to $400.”

THE FACTS: No, that’s not exactly right. Out-of-pocket insulin costs for older Americans on Medicare were capped at $35 in the 2022 Inflation Reduction Act that President Joe Biden signed into law. The cap took effect last year, when many drugmakers announced they would lower the price of the drug to $35 for most users on private insurance. But Biden regularly overstates that many people used to pay up to $400 monthly. People with diabetes who have Medicare or private insurance paid about $450 yearly prior to the law, a Department of Health and Human Services study released in December 2022 found.

CLIMATE CHANGE

TRUMP, touting his environmental record, said that “during my four years, I had the best environmental numbers ever” and that he supports “immaculate” air and water.

THE FACTS: That’s far from the whole story. During his presidency , Trump rolled back some provisions of the Clean Water Act, eased regulations on coal, oil and gas companies and pulled the U.S. out of the Paris climate accord. When wildfires struck California in 2020, Trump dismissed the scientific consensus that climate change had played a role. Trump also dismissed scientists’ warnings about climate change and routinely proposed deep cuts to the Environmental Protection Agency. Those reductions were blocked by Democratic and Republican lawmakers.

TRUMP: “The problem they have is they’re radical because they will take the life of a child in the eighth month, the ninth month, and even after birth, after birth.”

THE FACTS: Trump inaccurately referred to abortions after birth. Infanticide is criminalized in every state, and no state has passed a law that allows killing a baby after birth.

Abortion rights advocates say terms like this and “late-term abortions” attempt to stigmatize abortions later in pregnancy. Abortions later in pregnancy are exceedingly rare. In 2020, less than 1% of abortions in the United States were performed at or after 21 weeks, according to the Centers for Disease Control and Prevention.

Abortions later in pregnancy also are usually the result of serious complications, such as fetal anomalies, that put the life of the woman or fetus at risk, medical experts say. In most cases, these are also wanted pregnancies, experts say.

TRUMP on Wall Street Journal reporter Evan Gershkovich , who was detained in Russia: “He should have had him out a long time ago, but Putin’s probably asking for billions and billions of dollars because this guy pays it every time.”

THE FACTS: Trump is wrong to say that Biden pays any sort of fee “every time” to secure the release of hostages and wrongfully detained Americans. There’s also zero evidence that Putin is asking for any money in order to free Gershkovich. Just like in the Trump administration, the deals during the Biden administration that have brought home hostages and detainees involved prisoner swaps -- not money transfers.

Trump’s reference to money appeared to be about the 2023 deal in which the U.S. secured the release of five detained Americans in Iran after billions of dollars in frozen Iranian assets were transferred from banks in South Korea to Qatar. The U.S. has said that that the money would be held in restricted accounts and will only be able to be used for humanitarian goods, such as medicine and food.

BIDEN: Trump told Americans to “inject bleach” into their arms to treat COVID-19.

THE FACTS: That’s overstating it. Rather, Trump asked whether it would be possible to inject disinfectant into the lungs.

“And then I see the disinfectant, where it knocks it out in one minute,” he said at an April 2020 press conference. “And is there a way we can do something like that, by injection inside or almost a cleaning, because you see it gets in the lungs and it does a tremendous number on the lungs, so it’d be interesting to check that, so that you’re going to have to use medical doctors with, but it sounds interesting to me. So, we’ll see, but the whole concept of the light, the way it kills it in one minute. That’s pretty powerful.”

SUPER PREDATORS

TRUMP: “What he’s done to the Black population is horrible, including the fact that for 10 years he called them ‘super predators.’ … We can’t forget that - super predators … And they’ve taken great offense at it.”

THE FACTS: This oft-repeated claim by Trump dating back to the 2020 campaign is untrue. It was Hillary Clinton, then the first lady, who used the term “super predator” to advocate for the 1994 crime bill that Biden co-authored more than thirty years ago. Biden did warn of “predators” in a floor speech in support of his bill.

TRUMP, referring to Biden: “He’s the one that killed people with a bad border and flooding hundreds of thousands of people dying and also killing our citizens when they come in.”

THE FACTS: A mass influx of migrants coming into the U.S. illegally across the southern border has led to a number of false and misleading claims by Trump. For example, he regularly claims other countries are emptying their prisons and mental institutions to send to the U.S. There is no evidence to support that.

Trump has also argued the influx of immigrants is causing a crime surge in the U.S., although statistics actually show violent crime is on the way down.

There have been recent high-profile and heinous crimes allegedly committed by people in the country illegally. But FBI statistics do not separate out crimes by the immigration status of the assailant, nor is there any evidence of a spike in crime perpetrated by migrants, either along the U.S.-Mexico border or in cities seeing the greatest influx of migrants, like New York. Studies have found that people living in the country illegally are less likely than native-born Americans to have been arrested for violent, drug and property crimes. For more than a century, critics of immigration have sought to link new arrivals to crime. In 1931, the Wickersham Commission did not find any evidence supporting a connection between immigration and increased crime, and many studies since then have reached similar conclusions.

Texas is the only state that tracks crimes by immigration status. A 2020 study published by the National Academy of Sciences found “considerably lower felony arrest rates” among people in the United States illegally than legal immigrants or native-born.

Some crime is expected given the large population of immigrants. There were an estimated 10.5 million people in the country illegally in 2021, according to the latest estimate by Pew Research Center, a figure that has almost certainly risen with large influxes at the border. In 2022, the Census Bureau estimated the foreign-born population at 46.2 million, or nearly 14% of the total, with most states seeing double-digit percentage increases in the last dozen years.

CHARLOTTESVILLE

BIDEN, referring to Trump after the deadly white nationalist rally in Charlottesville, Virginia, in 2017: “The one who said I think they’re fine people on both sides.”

THE FACTS: Trump did use those words to describe attendees of the deadly rally , which was planned by white nationalists. But as Trump supporters have pointed out, he also said that day that he wasn’t talking about the neo-Nazis and white nationalists in attendance.

“You had some very bad people in that group,” Trump said during a news conference a few days after the rally, “But you also had people that were very fine people, on both sides.”

He then added that he wasn’t talking about “the neo-Nazis and the white nationalists, because they should be condemned totally.” Instead, he said, the press had been unfair in its treatment of protesters who were there to innocently and legally protest the removal of a statue of Confederate Gen. Robert E. Lee.

The gathering planned by white nationalists shocked the nation when it exploded into chaos: violent brawling in the streets, racist and antisemitic chants, smoke bombs, and finally, a car speeding into a crowd of counter-protesters, killing one and injuring dozens more.

TRUMP: We had the greatest economy in history.”

THE FACTS: That’s not accurate. First of all, the pandemic triggered a massive recession during his presidency. The government borrowed $3.1 trillion in 2020 to stabilize the economy. Trump had the ignominy of leaving the White House with fewer jobs than when he entered.

But even if you take out issues caused by the pandemic, economic growth averaged 2.67% during Trump’s first three years. That’s pretty solid. But it’s nowhere near the 4% averaged during Bill Clinton’s two terms from 1993 to 2001, according to the Bureau of Economic Analysis. In fact, growth has been stronger so far under Biden than under Trump.

Trump did have the unemployment rate get as low as 3.5% before the pandemic. But again, the labor force participation rate for people 25 to 54 — the core of the U.S. working population — was higher under Clinton. The participation rate has also been higher under Biden than Trump.

Trump also likes to talk about how low inflation was under him. Gasoline fell as low as $1.77 a gallon. But, of course, that price dip happened during pandemic lockdowns when few people were driving. The low prices were due to a global health crisis, not Trump’s policies.

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Similarly, average 30-year mortgage rates dipped to 2.65% during the pandemic. Those low rates were a byproduct of Federal Reserve efforts to prop up a weak economy, rather than the sign of strength that Trump now suggests it was.

MILITARY DEATHS

BIDEN: “The truth is, I’m the only president this century that doesn’t have any — this decade — any troops dying anywhere in the world like he did.”

”THE FACTS: At least 16 service members have been killed in hostile action since Biden took office in January 2021. On Aug. 26, 2021, 13 died during a suicide bombing at Hamid Karzai International Airport in Kabul, Afghanistan, as U.S. troops withdrew from the country . An enemy drone killed three U.S. service members at a desert base in Jordan on Jan. 28 of this year.

PRESIDENTIAL RECORD

BIDEN: “159, or 58, don’t know an exact number, presidential historians, they’ve had meetings and they voted, who is the worst president in American history … They said he was the worst in all American history. That’s a fact. That’s not conjecture.”

THE FACTS: That’s almost right, but not quite. The survey in question, a project from professors at the University of Houston and Coastal Carolina University, included 154 usable responses, from 525 respondents invited to participate.

GEORGE FLOYD PROTESTS

TRUMP, on Minneapolis protests after the killing of George Floyd: “If I didn’t bring in the National Guard, that city would have been destroyed.”

THE FACTS: Trump didn’t call the National Guard into Minneapolis during the unrest following the death of George Floyd. Minnesota Gov. Tim Walz deployed the National Guard to the city.

Associated Press writers Josh Boak, Elliot Spagat, Eric Tucker, Ali Swenson, Christina Cassidy, Amanda Seitz, Stephen Groves, David Klepper, Melissa Goldin and Hope Yen contributed to this report.

Find AP Fact Checks here: https://apnews.com/APFactCheck .

Facility for Rare Isotope Beams

At michigan state university, investigating the conditions for a new stellar process.

A scientific research team studied how the barium-139 nucleus captures  neutrons in the stellar environment in an experiment at  Argonne National Laboratory ’s (ANL)  CARIBU facility using FRIB’s Summing Nal (SuN) detector . The team’s goal was to lessen uncertainties related to lanthanum production. Lanthanum is a rare earth element sensitive to intermediate neutron capture process (i process) conditions. Uncovering the conditions of the i process allows scientists to determine its required neutron density and reveal potential sites where it might occur. The team recently published its findings in  Physical Review Letters   (“First Study of the 139Ba(𝑛,𝛾)140Ba Reaction to Constrain the Conditions for the Astrophysical i Process”).

Artemis Spyrou , professor of physics at FRIB and in the Department of Physics and Astronomy at Michigan State University (MSU), and Dennis Mücher , professor of physics at the  University of Cologne in Germany, led the experiment. MSU is home to FRIB, the only accelerator-based U.S. Department of Energy Office of Science (DOE-SC) user facility on a university campus. FRIB is operated by MSU to support the mission of the DOE-SC Office of Nuclear Physics as one of 28 DOE-SC user facilities.

Combining global collaboration and world-class educational experiences

The experiment was a collaborative effort involving more than 30 scientists and students from around the world. Participating institutions included the  University of Victoria in Canada, the  University of Oslo in Norway, and the  University of Jyväskyla in Finland. 

“The collaboration is essential because everyone comes from different backgrounds with different areas of expertise,” Spyrou said. “Together, we’re much stronger. It’s really an intellectual sharing of that knowledge and bringing new ideas to the experiment.”

The international collaboration also included five FRIB graduate and two FRIB undergraduate students. FRIB is an educational resource for the next generation of science and technical talent. Students enrolled in nuclear physics at MSU can work with scientific researchers from around the world to conduct groundbreaking research in accelerator science, cryogenic engineering, and astrophysics. 

“Our students contribute to every aspect of the experiment, from transporting the instrumentation to unpacking and setting it up, then testing and calibrating it to make sure everything works,” Spyrou said. “Then, we all work together to identify what’s in the beam. Is it reasonable? Do we accept it? Once everything is set up and ready, we all take shifts.”

Measuring the i process 

Producing some of the heaviest elements found on Earth, like platinum and gold, requires stellar environments rich in neutrons. Inside stars, neutrons combine with an atomic nucleus to create a heavier nucleus. These nuclear reactions, called neutron capture processes, are what create these heavy elements. Two neutron capture processes are known to occur in stars: the rapid neutron capture process ( r process) and the slow neutron capture process ( s process). Yet, neither process can explain some astronomic observations, such as unusual abundance patterns found on very old stars. A new stellar process—the i process—may help. The i process represents neutron densities that fall between those of the r and s processes.

“Through this reaction we are constraining, we discovered that compared to what theory predicted, the amount of lanthanum is actually less,” said Spyrou. 

Spyrou said that combining lanthanum with other elements, like barium and europium, helps provide a signature of the i process. 

“It’s a new process, and we don’t know the conditions where the i process is happening. It’s all theoretical, so unless we constrain the nuclear physics, we will never find out,” Spyrou said. “This was the first strong constraint from the nuclear physics point of view that validates that yes, the i process should be making these elements under these conditions.”

Neutron capture processes are difficult to measure directly, Spyrou said. Indirect techniques, like the beta-Oslo and shape methods, help constrain neutron capture reaction rates in exotic  nuclei . These two methods formed the basis of the barium-139 nucleus experiment.

To measure the data, beams provided by ANL’s CARIBU facility produced a high-intensity beam and delivered it to the center of the SuN detector, a device that measures gamma rays emitted from decaying  isotope beams. This tool was pivotal in producing strong data constraints during the study.

“I developed SuN with my group at the National Superconducting Cyclotron Laboratory, the predecessor to FRIB,” Spyrou said. “It’s a very efficient and large detector. Basically, every gamma ray that comes out, we can detect. This is an advantage compared to other detectors, which are smaller.”

The first i process constraint paves the way for more research

Studying the barium-139 neutron capture was only the first step in discovering the conditions of the i  process. Mücher is starting a new program at the University of Cologne that aims to measure some significant i  process reactions directly. Spyrou said that she and her FRIB team plan to continue studying the i process through different reactions that can help constrain the production of different elements or neutron densities. They recently conducted an experiment at ANL to study the neodymium-151 neutron capture. This neutron capture is the dominant reaction for europium production.

This material is based upon work supported by the National Science Foundation.

Michigan State University operates the Facility for Rare Isotope Beams (FRIB) as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. Hosting what is designed to be the most powerful heavy-ion accelerator, FRIB enables scientists to make discoveries about the properties of rare isotopes in order to better understand the physics of nuclei, nuclear astrophysics, fundamental interactions, and applications for society, including in medicine, homeland security, and industry.

The U.S. Department of Energy Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of today’s most pressing challenges. For more information, visit  energy.gov/science .

Beyond Ozempic: New GLP-1 drugs promise weight loss and health benefits

The next wave of obesity drugs is coming soon.

Drug companies are racing to develop GLP-1 drugs following the blockbuster success of Novo Nordisk’s Ozempic and Wegovy and Eli Lilly’s Mounjaro and Zepbound.

Some of the experimental drugs may go beyond diabetes and weight loss, improving liver and heart function while reducing side effects such as muscle loss common to the existing medications. At the 2024 American Diabetes Association conference in Orlando, Florida, researchers are expected to present data on 27 GLP-1 drugs in development.

“We’ve heard about Ozempic and Mounjaro and so on, but now we’re seeing lots and lots of different drug candidates in the pipeline, from very early-stage preclinical all the way through late-stage clinical,” said Dr. Marlon Pragnell, ADA’s vice president of research and science. “It’s very exciting to see so much right now.”

A large portion of the data presented comes from animal studies or early-stage human trials. However, some presentations include mid-to late-stage trials, according to a list shared by the organization.

Approval by the Food and Drug Administration is likely years away for most. Some of the drugs showcased could be available for prescription in the U.S. within the next few years.

“We’ve witnessed an unprecedented acceleration in the development of GLP drugs,” said Dr. Christopher McGowan, a gastroenterologist who runs a weight loss clinic in Cary, North Carolina. “We are now firmly entrenched in the era of the GLP.”

While the existing drugs are highly effective, new drugs that are more affordable and have fewer side effects are needed, McGowan added.

There aren’t just GLP-1 drugs in the pipeline. On Thursday, ahead of the diabetes conference, Denmark-based biotech firm Zealand Pharma released data that showed a high dose of its experimental weight loss drug petrelintide helped reduce body weight by an average of 8.6% at 16 weeks.

The weekly injectable medication is unique because it mimics the hormone amylin, which helps control blood sugar. The hope is patients will experience fewer side effects like nausea commonly associated with GLP-1 drugs such as Wegovy and Zepbound.

Can glucagon hormone help with weight loss?

GLP-1 medications work, in part, by slowing down how quickly food passes through the stomach, leading people to feel fuller longer. In several of the upcoming weight loss drugs, a different hormone called glucagon is in the spotlight. Glucagon is a key blood-sugar-regulating hormone that can mimic the effects of exercise.

One of the drugs featured at the conference on Sunday is called pemvidutide, from Maryland-based biotech firm Altimmune .

The drug contains the GLP-1 hormone, a key ingredient in Ozempic and Wegovy, in addition to glucagon.

Altimmune released data from a phase 2 trial of 391 adults with obesity or who are overweight with at least one weight-related comorbidity such as high blood pressure. Patients were randomized to either get one of three doses of pemvidutide or a placebo for 48 weeks.

Researchers found that patients who got the highest dose of the drug lost on average 15.6% of their body weight after 48 weeks, compared to the 2.2% body weight loss seen in patients who got a placebo. In similar trials, semaglutide was shown to reduce body weight by around 15% after 68 weeks.

These are not direct comparisons because the drugs weren’t compared in a head-to-head clinical trial.

Dr. Scott Harris, Altimmune’s chief medical officer, said the drug has been shown to help people lose weight, as well as provide health benefits to the liver and heart. What’s more, the drug has shown benefits in preserving lean body mass. Some studies have suggested that semaglutide, the active ingredient in Ozempic and Wegovy, can cause muscle loss.

“If people take the drugs long term, what’s going to be their long-term health? What’s going to be the long-term effects on their body composition, their muscle, their ability to function?” he said.

Harris said that people who got pemvidutide lost on average 21% of their lean body mass, which is lower than the around 25% of lean body mass people typically lose with diet and exercise.

“We’re the next wave of obesity drugs,” Altimmune President and CEO Vipin Garg said. “The first wave of mechanisms was all driven by appetite suppression. We are adding another component.”

Altimmune expects to begin a phase 3 trial soon. The company hopes the drug will be available in the U.S. sometime in 2028.

Competition could drive down costs

Expanding the number of weight loss drugs available is important for several reasons, experts say.

More options could also help alleviate the shortages seen in the U.S. with Novo Nordisk’s and Lilly’s weight loss drugs.

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Increased competition could drive down the high cost of the drugs over time. A month’s supply of Wegovy or Zepbound can cost more than $1,000, often financially untenable for many patients, experts say.

Patients can also respond differently to treatments, said Dr. Fatima Cody Stanford, an associate professor of medicine and pediatrics at Harvard Medical School. In fact, some have found the existing GLP-1 options ineffective.

“Different GLP-1 drugs may have varying levels of efficacy and potency,” she said. “Some patients may respond better to one drug over another, depending on how their body metabolizes and responds to the medication.”

Since starting Ozempic in June 2022, Danielle Griffin has not seen the results her doctor predicted. “She really expected to see a huge difference in my weight, and I just never saw it,” said the 38-year-old from Elida, New Mexico. Griffin weighed about 300 pounds and has lost only about 10 pound in two years. She said her “expectations were pretty much shattered from that.”

Amid insurance battles and shortages, she has also tried Wegovy and Mounjaro, but didn’t see a difference in her weight.

“I don’t feel like there are options, especially for myself, for someone who the medications not working for.”

The prospect of new medications on the horizon excites Griffin. “I would be willing to try it,” she said, adding that “it could be life changing, honestly, and you know that alone gives me something to look forward to.”

More drugs in the pipeline

Eli Lilly, which makes Zepbound and the diabetes version Mounjaro, has two more GLP-1 drugs in development.

On Sunday, Lilly released new data about retatrutide, an injectable drug that combines GLP-1 and glucagon , plus another hormone called GIP. GIP is thought to improve how the body breaks down sugar.

In an earlier trial, retatrutide helped people lose, on average, about 24% of their body weight, the equivalent of about 58 pounds — greater weight loss than any other drug on the market.

New findings showed the weekly medication also significantly reduced blood sugar levels in people with Type 2 diabetes.

On Saturday, there were also new findings on the experimental mazdutide, which Lilly has given permission to biotech firm Innovent Biologics to develop in China. The drug combines GLP-1 and glucagon.

In a phase 3 study of adults in China who were overweight or had obesity, researchers found that after 48 weeks, a 6-milligram dose of the drug led to an average body weight reduction of 14.4%.

The drug also led to a reduction in serum uric acid — a chemical that can build up in the bloodstream, causing health problems, and has been associated with obesity, according to Dr. Linong Ji, director of the Peking University Diabetes Center, who presented the findings.

That was “quite unique and never reported for other GLP-1-based therapies,” he said in an interview.

The drug could be approved in China in 2025, Ji said.

Improving metabolic conditions

An estimated 75% of people with obesity have nonalcoholic fatty liver disease and 34% have MASH, or metabolic dysfunction-associated steatohepatitis, according to researchers with the German drugmaker Boehringer Ingelheim. Fatty liver disease occurs when the body begins to store fat in the liver . It can progress to MASH, when fat buildup causes inflammation and scarring.

In a phase 2 trial of people who were overweight or had obesity, Boehringer Ingelheim’s survodutide, which uses both GLP-1 and glucagon, led to weight loss of 19% at 46 weeks. Another phase 2 study in people with MASH and fibrosis found that 83% of participants also showed improvement in MASH.

Survodutide “has significant potential to make a meaningful difference to people living with cardiovascular, renal and metabolic conditions,” said Dr. Waheed Jamal, Boehringer Ingelheim’s corporate vice president and head of cardiometabolic medicine.

On Friday, the company released two studies on the drug. One, in hamsters, found that weight loss was associated with improvements in insulin and cholesterol. The second, in people with Type 2 diabetes or people with obesity, found the drug helped improve blood sugar levels.  

The company is looking to begin a phase 3 trial.

CLARIFICATION (June 24, 2024, 2:31 p.m. ET): Innovent Biologics has entered into an exclusive licensed agreement with Eli Lilly for the development of mazdutide in China, not a partnership.

Berkeley Lovelace Jr. is a health and medical reporter for NBC News. He covers the Food and Drug Administration, with a special focus on Covid vaccines, prescription drug pricing and health care. He previously covered the biotech and pharmaceutical industry with CNBC.

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Introduction to standardization in business reporting.

Posted on June 27, 2024 by Numbers around us in R bloggers | 0 Comments

Why Standardization Matters

Hey there! Thanks for joining me on this exciting journey into the world of International Business Communication Standards (IBCS). Before we dive into the nitty-gritty of the SUCCESS acronym, let’s take a step back and chat about why standardization in business reporting is such a game-changer. If you’ve ever felt overwhelmed by messy reports with inconsistent formatting, you’re not alone. I’ve been there too, staring at a sea of numbers that don’t quite add up.

Standardization in business reporting ensures that data is presented in a consistent manner, enhancing comprehensibility and comparability across different reports. Imagine flipping through different reports where each one tells its story in its own unique language — confusing, right? Standardization is like translating all those languages into one that everyone can understand easily.

Consistency is Key

Think of standardized reports as a well-organized bookshelf. You know exactly where to find what you’re looking for, and every book (or in this case, piece of data) is presented in a way that makes sense. This consistency is crucial for making informed business decisions quickly and accurately. No more wasting time trying to figure out what’s what!

I remember a time when I was working on a project that involved analyzing sales data across multiple brands. Each region had its own way of reporting — different formats, different terminologies, and different visualization styles. It was a nightmare to compile all this information into a coherent report. That’s when I discovered the power of standardization. By applying consistent formats and visual styles, the report not only became easier to read but also revealed insights that were previously hidden in the chaos.

Time-Saving and Efficiency

Let’s be honest, who wouldn’t want to save time? Standardization not only reduces the risk of misinterpretation but also enhances the efficiency of report generation and review processes. Once you have a standardized template, creating new reports becomes a breeze. You can focus more on analyzing the data rather than formatting the report.

Understanding IBCS Standards

Now that we’ve established why standardization is so important, let’s get to know IBCS. The International Business Communication Standards provide a comprehensive framework for the design of business communication, particularly in the context of reports, presentations, and dashboards. The goal of IBCS is to improve the clarity, efficiency, and effectiveness of business communications.

The SUCCESS Formula

The heart of IBCS is the SUCCESS formula:

• SAY : Convey a clear message.
• UNIFY : Apply consistent semantic notation.
• CONDENSE : Increase information density.
• CHECK : Ensure visual integrity.
• EXPRESS : Choose proper visualization.
• SIMPLIFY : Avoid clutter.
• STRUCTURE : Organize content logically.

Let’s break down each component briefly:

• SAY : It’s all about making your key message unmistakably clear. Your audience should be able to grasp the main point at a glance. This involves using clear titles, highlighting key figures, and ensuring that the message is front and center.
• UNIFY : Consistency is key. This principle ensures that all visual elements (like colors, shapes, and fonts) are used consistently throughout your reports. This helps in creating a familiar look and feel, making it easier for readers to navigate and understand.
• CONDENSE : More information doesn’t necessarily mean more clutter. This principle focuses on presenting data in a compact and dense format, without overwhelming the reader. Think of using small multiples, sparklines, and condensed tables that pack a lot of information in a small space.
• CHECK : Accuracy and integrity are paramount. This involves verifying the data, ensuring that scales and labels are accurate, and avoiding any visual misrepresentations. It’s about being honest and precise with your visuals.
• EXPRESS : Choosing the right type of visualization for your data is crucial. This principle guides you on selecting the most effective chart types to convey your message clearly, whether it’s bar charts, line charts, scatter plots, or more advanced visualizations.
• SIMPLIFY : Less is more. Avoiding unnecessary elements and focusing on what’s important helps in reducing cognitive load on the reader. This means removing gridlines, reducing colors, and using white space effectively.
• STRUCTURE : Organize your content logically. This involves structuring your reports in a way that guides the reader through the data naturally. Sections, subsections, and a logical flow of information are essential here.

Clarity and Comprehension

I’ve been standardizing reports in my previous roles for quite some time. But I only came across IBCS recently, and let me tell you, I’m absolutely loving it as a framework. It has transformed the way I think about presenting data. Suddenly, my reports are not just a collection of numbers but a coherent story that my audience can easily understand and act upon. Each element of the SUCCESS formula plays a critical role in achieving this clarity.

Practical Steps to Implement Standardization

Alright, let’s get practical. How can you start standardizing your reports? Here’s a step-by-step guide that I’ve found incredibly useful:

• Evaluate Current Practices : Start by evaluating your current reporting practices. Identify inconsistencies and areas for improvement. Trust me, you’ll find plenty of “aha!” moments here.
• Educate and Train : Educate your team about the importance of standardization and the principles of IBCS. Knowledge is power, after all. Conduct workshops or training sessions to get everyone on the same page.
• Develop Templates and Tools : Develop standardized templates and tools that align with IBCS guidelines. This step is crucial for ensuring consistency across all reports. Tools like Quarto can be incredibly helpful here.
• Monitor and Collect Feedback : Regularly review your reports for compliance with the standards and gather feedback from users. Continuous improvement is the name of the game. Set up a feedback loop where users can suggest improvements and share their experiences.

Personal Experience in Implementation

In my previous role, we initiated a project to standardize our sales reports. Initially, there was some resistance — change is always hard. But after a few training sessions and some hands-on practice, the team started to see the benefits. The reports were not only easier to produce but also much more impactful. We even started receiving positive feedback from our clients who appreciated the clarity of our presentations.

Here’s a personal tip: Start small. Implement standardization in one type of report first. This approach allows you to refine the process and make adjustments before rolling it out across all reports.

Challenges and Solutions

Of course, it wasn’t all smooth sailing. We faced challenges like getting everyone to adopt the new standards and ensuring consistency across all reports. But with persistent effort and open communication, we overcame these hurdles. The key was to make everyone understand the long-term benefits of standardization.

One challenge we faced was with custom reports requested by different departments. These reports often deviated from the standard format. Our solution was to create a flexible template that allowed for some customization while still adhering to the core IBCS principles. This compromise ensured that the reports remained standardized but could still meet the specific needs of each department.

Types of Data Analysis

Before we dive deeper into reporting, let’s quickly touch on the different types of data analysis. Understanding these will help you tailor your reports to your specific needs.

Descriptive Analysis: The What

Descriptive analysis is all about summarizing past data to understand what happened. Think of it as the “what” of your data. It’s like looking at your car’s speedometer to see how fast you went. This type of analysis uses statistics like mean, median, and mode to describe the data.

For instance, if we look at the nycflights13 R dataset, a descriptive analysis might involve calculating the average delay time for flights, the total number of flights, or the distribution of flight delays across different months. This helps to paint a clear picture of historical performance.

Diagnostic Analysis: The Why

Diagnostic analysis moves us to the “why.” This type of analysis examines data to understand why something happened. It’s like figuring out why your car’s speed dropped suddenly — maybe there was a traffic jam? Diagnostic analysis involves looking at correlations and potential causal relationships to uncover the reasons behind certain trends or anomalies.

In the context of nycflights13, we might investigate why certain flights are delayed more frequently. This could involve examining variables like weather conditions, carrier performance, or airport congestion. Understanding these factors can help pinpoint the causes of delays.

Predictive Analysis: The What Might Happen

Predictive analysis uses statistical models and forecasting techniques to predict future outcomes based on historical data. It’s like forecasting whether you’ll hit traffic on your next trip based on past experiences. This type of analysis helps in anticipating future trends and making proactive decisions.

Using nycflights13, a predictive analysis might involve forecasting future flight delays based on historical delay patterns and upcoming weather forecasts. This can help airlines and passengers plan better and mitigate potential issues.

Prescriptive Analysis: The What Should We Do

Finally, prescriptive analysis provides recommendations for actions based on predictive analysis. It’s like your GPS suggesting an alternate route to avoid that predicted traffic jam. This type of analysis uses algorithms to suggest various courses of action and their potential outcomes.

For nycflights13, prescriptive analysis could recommend optimal flight schedules or routes to minimize delays. It might also suggest operational changes, like adjusting staffing levels during peak hours or implementing new maintenance protocols.

Reporting Delivery Platforms

Not all reports are created equal, and neither are the platforms we use to deliver them. Let’s break down the different platforms and how they impact standardization:

Interactive Dashboards

Interactive dashboards are dynamic and allow users to explore data in real-time. Standardization here ensures consistency across various views and interactions. Think of platforms like Power BI or Tableau. These dashboards are great for providing an overview and enabling detailed drill-downs.

Using the nycflights13 dataset, an interactive dashboard might include various widgets and filters that allow users to view flight performance by date, carrier, or destination. Ensuring that these elements are standardized makes the dashboard intuitive and user-friendly.

Presentations

Presentations are typically used for communicating key findings to stakeholders. Standardized slides enhance clarity and ensure that key messages are consistently communicated. PowerPoint or Google Slides are your friends here.

Imagine preparing a quarterly review using nycflights13 data. A standardized presentation template would include consistent slide layouts, color schemes, and fonts, making it easier for the audience to follow along and understand the insights.

Static Reports

Static reports provide a fixed snapshot of data. Standardization in static reports ensures that all necessary information is included and presented clearly. PDF reports or printed documents often fall into this category.

For example, a static report using nycflights13 data could be a detailed monthly performance report. Standardized headers, footers, and table formats ensure that the report is easy to read and understand.

How Different Types and Delivery Points Affect Standardization

Alright, let’s tie it all together. Different types of analysis and delivery platforms influence how you apply standardization:

• Descriptive Analysis on Dashboards : Ensure that interactive elements are standardized so users can easily compare past performance across different metrics.
• Diagnostic Analysis in Presentations : Use consistent visuals to explain why certain trends occurred. This helps stakeholders grasp the insights quickly.
• Predictive Analysis in Static Reports : Present forecasts in a standardized format to make it easier for readers to understand and trust the predictions.
• Prescriptive Analysis Across Platforms : Whether it’s a dashboard, presentation, or report, standardized recommendations ensure that the suggested actions are clear and actionable.

Tools for Standardizing Reports in R

In this chapter, we’ll discuss the tools I’ll be using in R to ensure our reports adhere to IBCS standards. Standardizing reports involves a combination of data manipulation, visualization, and documentation tools. Here are the main tools and packages we’ll be using throughout this series:

Data Manipulation with dplyr and tidyr

To start, we need robust tools for data manipulation. The dplyr and tidyr packages from the tidyverse suite are indispensable for cleaning, transforming, and organizing our data.

• dplyr : This package is perfect for data wrangling. With functions like select(), filter(), mutate(), summarize(), and arrange(), we can easily manipulate our data frames to get them into the right shape for analysis.
• tidyr : This package helps in tidying data, ensuring that it follows the tidy data principles. Functions like pivot_longer(), pivot_wider(), unite(), and separate() make it straightforward to reshape data as needed.

Data Visualization with ggplot2

Visualization is a cornerstone of effective reporting, and ggplot2 is the go-to package for creating high-quality graphics in R. It follows the grammar of graphics, which makes it highly flexible and powerful.

• Consistent Themes : We’ll use ggplot2's theming capabilities to apply consistent colors, fonts, and layouts across all our visualizations. This aligns with the UNIFY principle of IBCS.
• Custom Visuals : We’ll create custom visuals that not only look good but also convey the right message clearly, adhering to the EXPRESS principle.

Enhancing ggplot2 with Extensions

There are several extensions to ggplot2 that can help enhance its capabilities and ensure our visualizations are both informative and aesthetically pleasing:

• ggthemes : Provides additional themes and scales that help in standardizing the look and feel of plots.
• gghighlight : Allows us to highlight specific data points in a plot, making it easier to draw attention to key information.
• ggrepel : Helps in adding labels to plots without overlapping, ensuring that our visualizations remain clear and readable.
• patchwork : Facilitates the combination of multiple ggplot2 plots into a single cohesive layout, supporting the CONDENSE principle by increasing information density.

Reporting with Quarto

For generating and maintaining our reports, we’ll use Quarto, a new, powerful tool for creating dynamic documents in R.

• Dynamic Reports : Quarto allows for the integration of R code and markdown, enabling us to create reports that are both reproducible and interactive.
• Standardized Templates : We can create standardized templates that ensure consistency across all reports.

Table Formatting with kableExtra

Tables are a crucial part of any report, and kableExtra is an excellent package for creating well-formatted tables in R.

• Enhanced Tables : kableExtra provides functionality to produce beautiful tables within Quarto documents. It supports various table styling options, including striped rows, column alignment, and more.
• Interactive Tables : This package also supports the creation of interactive tables, making it easier for readers to explore data.

Supplementary Tools

• scales : This package works with ggplot2 to ensure that our scales are appropriately formatted, enhancing readability and accuracy.
• lubridate : Useful for handling date-time data, ensuring our time series data is properly formatted and easy to manipulate.
• stringr : Helps with string manipulation, making it easier to clean and prepare text data for reporting.

So, there you have it — a comprehensive introduction to the importance of standardization in business reporting and an overview of how IBCS can help you achieve it. In the next episodes, we’ll dive deep into each component of the SUCCESS formula, starting with SAY: Convey a Message . We’ll explore how to clearly and effectively communicate the main message in your reports, using practical examples and the nycflights13 dataset to illustrate these principles in action.

Remember, the goal here is to make your reports not just informative but also engaging and easy to understand. Let’s embark on this journey together and transform your business reporting skills!

Stay tuned, and happy reporting!

Introduction to Standardization in Business Reporting was originally published in Numbers around us on Medium, where people are continuing the conversation by highlighting and responding to this story.

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