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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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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.

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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.

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Corporate communication functions and its importance, barriers to effective communication: 14 common communication barriers.

10 Superb Data Presentation Examples To Learn From

The best way to learn how to present data effectively is to see data presentation examples from the professionals in the field.

We collected superb examples of graphical presentation and visualization of data in statistics, research, sales, marketing, business management, and other areas.

On this page:

How to present data effectively? Clever tips.

• 10 Real-life examples of data presentation with interpretation.

Download the above infographic in PDF

Your audience should be able to walk through the graphs and visualizations easily while enjoy and respond to the story.

[bctt tweet=”Your reports and graphical presentations should not just deliver statistics, numbers, and data. Instead, they must tell a story, illustrate a situation, provide proofs, win arguments, and even change minds.” username=””]

Before going to data presentation examples let’s see some essential tips to help you build powerful data presentations.

1. Keep it simple and clear

The presentation should be focused on your key message and you need to illustrate it very briefly.

Graphs and charts should communicate your core message, not distract from it. A complicated and overloaded chart can distract and confuse. Eliminate anything repetitive or decorative.

2. Pick up the right visuals for the job

A vast number of types of graphs and charts are available at your disposal – pie charts, line and bar graphs, scatter plot , Venn diagram , etc.

Choosing the right type of chart can be a tricky business. Practically, the choice depends on 2 major things: on the kind of analysis you want to present and on the data types you have.

Commonly, when we aim to facilitate a comparison, we use a bar chart or radar chart. When we want to show trends over time, we use a line chart or an area chart and etc.

3. Break the complex concepts into multiple graphics

It’s can be very hard for a public to understand a complicated graphical visualization. Don’t present it as a huge amount of visual data.

Instead, break the graphics into pieces and illustrate how each piece corresponds to the previous one.

4. Carefully choose the colors

Colors provoke different emotions and associations that affect the way your brand or story is perceived. Sometimes color choices can make or break your visuals.

It is no need to be a designer to make the right color selections. Some golden rules are to stick to 3 or 4 colors avoiding full-on rainbow look and to borrow ideas from relevant chart designs.

Another tip is to consider the brand attributes and your audience profile. You will see appropriate color use in the below data presentation examples.

5. Don’t leave a lot of room for words

The key point in graphical data presentation is to tell the story using visuals and images, not words. Give your audience visual facts, not text.

However, that doesn’t mean words have no importance.

A great advice here is to think that every letter is critical, and there’s no room for wasted and empty words. Also, don’t create generic titles and headlines, build them around the core message.

6. Use good templates and software tools

Building data presentation with AI nowadays means using some kind of software programs and templates. There are many available options – from free graphing software solutions to advanced data visualization tools.

Choosing a good software gives you the power to create good and high-quality visualizations. Make sure you are using templates that provides characteristics like colors, fonts, and chart styles.

A small investment of time to research the software options prevents a large loss of productivity and efficiency at the end.

10 Superb data presentation examples 

Here we collected some of the best examples of data presentation made by one of the biggest names in the graphical data visualization software and information research.

These brands put a lot of money and efforts to investigate how professional graphs and charts should look.

1. Sales Stage History  Funnel Chart 

Data is beautiful and this sales stage funnel chart by Zoho Reports prove this. The above funnel chart represents the different stages in a sales process (Qualification, Need Analysis, Initial Offer, etc.) and shows the potential revenue for each stage for the last and this quarter.

The potential revenue for each sales stage is displayed by a different color and sized according to the amount. The chart is very colorful, eye-catching, and intriguing.

2. Facebook Ads Data Presentation Examples

These are other data presentation examples from Zoho Reports. The first one is a stacked bar chart that displays the impressions breakdown by months and types of Facebook campaigns.

Impressions are one of the vital KPI examples in digital marketing intelligence and business. The first graph is designed to help you compare and notice sharp differences at the Facebook campaigns that have the most influence on impression movements.

The second one is an area chart that shows the changes in the costs for the same Facebook campaigns over the months.

The 2 examples illustrate how multiple and complicated data can be presented clearly and simply in a visually appealing way.

3. Sales Opportunity Data Presentation

These two bar charts (stacked and horizontal bar charts) by Microsoft Power Bi are created to track sales opportunities and revenue by region and sales stage.

The stacked bar graph shows the revenue probability in percentage determined by the current sales stage (Lead, Quality, Solution…) over the months. The horizontal bar chart represents the size of the sales opportunity (Small, Medium, Large) according to regions (East, Central, West).

Both graphs are impressive ways for a sales manager to introduce the upcoming opportunity to C-level managers and stakeholders. The color combination is rich but easy to digest.

4. Power 100 Data Visualization 

Want to show hierarchical data? Treemaps can be perfect for the job. This is a stunning treemap example by Infogram.com that shows you who are the most influential industries. As you see the Government is on the top.

This treemap is a very compact and space-efficient visualization option for presenting hierarchies, that gives you a quick overview of the structure of the most powerful industries.

So beautiful way to compare the proportions between things via their area size.

When it comes to best research data presentation examples in statistics, Nielsen information company is an undoubted leader. The above professional looking line graph by Nielsen represent the slowing alcoholic grow of 4 alcohol categories (Beer, Wine, Spirits, CPG) for the period of 12 months.

The chart is an ideal example of a data visualization that incorporates all the necessary elements of an effective and engaging graph. It uses color to let you easily differentiate trends and allows you to get a global sense of the data. Additionally, it is incredibly simple to understand.

6. Digital Health Research Data Visualization Example

Digital health is a very hot topic nowadays and this stunning donut chart by IQVIA shows the proportion of different mobile health apps by therapy area (Mental Health, Diabetes, Kidney Disease, and etc.). 100% = 1749 unique apps.

This is a wonderful example of research data presentation that provides evidence of Digital Health’s accelerating innovation and app expansion.

Besides good-looking, this donut chart is very space-efficient because the blank space inside it is used to display information too.

7. Disease Research Data Visualization Examples

Presenting relationships among different variables is hard to understand and confusing -especially when there is a huge number of them. But using the appropriate visuals and colors, the IQVIA did a great job simplifying this data into a clear and digestible format.

The above stacked bar charts by IQVIA represents the distribution of oncology medicine spendings by years and product segments (Protected Brand Price, Protected Brand Volume, New Brands, etc.).

The chart allows you to clearly see the changes in spendings and where they occurred – a great example of telling a deeper story in a simple way.

8. Textual and Qualitative Data Presentation Example

When it comes to easy to understand and good looking textual and qualitative data visualization, pyramid graph has a top place. To know what is qualitative data see our post quantitative vs qualitative data .

9. Product Metrics Graph Example

If you are searching for excel data presentation examples, this stylish template from Smartsheet can give you good ideas for professional looking design.

The above stacked bar chart represents product revenue breakdown by months and product items. It reveals patterns and trends over the first half of the year that can be a good basis for data-driven decision-making .

10. Supply Chain Data Visualization Example 

This bar chart created by ClicData  is an excellent example of how trends over time can be effectively and professionally communicated through the use of well-presented visualization.

It shows the dynamics of pricing through the months based on units sold, units shipped, and current inventory. This type of graph pack a whole lot of information into a simple visual. In addition, the chart is connected to real data and is fully interactive.

The above data presentation examples aim to help you learn how to present data effectively and professionally.

About The Author

Silvia Valcheva

Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc.

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ChartExpo Survey

Mastering Art of Data Presentation for Compelling Insights

You have a bunch of numbers, and you want to make them look good. You could just throw them all onto a spreadsheet and call it a day.

But where’s the fun in that?

Instead, you can use presentation of data methods to bring your data to life and make it more engaging. Data presentation is like a fancy dress party for numbers. Here, data puts on their finest outfits and strut their stuff.

But, like at any party, there are different ways to make an entrance. Various methods of data presentation can make your information shine brighter than a disco ball.

You can dress them up in bar charts, line graphs, pie charts, etc. Each method has a unique style and purpose. All you have to do is choose the one that best suits your data. Then, tailor it to tell your story.

Let’s explore the different methods of data presentation and discover how to transform data into a captivating spectacle.

Table of Content:

What is data presentation.

• Significance of Effective
• Various Approaches

Tips for Effective Presentation of Data

• Implementation

Data presentation refers to organizing and displaying data meaningfully and clearly. It involves transforming raw data into perfect data storytelling that can be easily interpreted and analyzed. Effective presentation enhances comprehension, facilitates decision-making, and supports communication.

Significance of Effective Data Presentation

Data presentation plays a crucial role in conveying information, insights, and trends effectively. Here are some reasons why it is invaluable:

• Clarity and comprehension:  Data in its raw form can be complex and overwhelming. Data presentation simplifies the information and presents it in a manner that is easy to understand. It transforms numbers and statistics into visual and structured formats, facilitating a swift grasp of the key points.
• Facilitates decision-making: Whether in business, research, or government, decision-makers rely on data to make informed choices. The presentation helps identify trends, patterns, and areas needing attention.
• Effective communication: Data presentation bridges the gap between data experts and non-experts. Consequently, it makes it possible to effectively communicate findings, research, and insights to a broader audience.
• Comparison and analysis: Data presentation methods like charts and graphs facilitate comparisons and data analysis. Visualizing data side by side or over time can reveal patterns and relationships not evident in raw data.
• Audience engagement: Effective presentation techniques help engage the audience by presenting information in a visually stimulating way. This enhances understanding and increases the likelihood of the audience retaining the information.
• Persuasion and influence: Data presentation is often used for persuasion and influence. It helps to highlight key data points, emphasize important information, and support the presenter’s arguments. Thus making it easier to convince and persuade others of a particular viewpoint or argument.
• Problem-solving and analysis:  Presenting data in a structured and organized manner makes identifying patterns, correlations, and anomalies easier. Consequently, this leads to more accurate analysis and problem-solving.
• Collaboration and teamwork: Effective presentation of data promotes collaboration and teamwork. Team members can easily share and discuss information, leading to better collaboration and effective decision-making.
• Real-time analysis: With the advent of data visualization tools and dashboards, the presentation of data allows for real-time analysis. Consequently, you can monitor key metrics and respond to changing conditions swiftly.
• Data transparency: Transparent ways of presenting data, such as using a Circular Chart , are essential for building trust, especially in government and research contexts. They provide a clear view of the data sources, methodology, and results, fostering accountability.

Various Approaches to Data Presentation

Tables are one of the most straightforward and widely used methods for the presentation of data. They consist of rows and columns, with each cell containing data. Tables are handy for presenting structured and detailed information in a clear and organized format. They excel at showing precise values and directly comparing categories or data points.

Charts and Graphs

Charts and graphs visually simplify complex data, enhancing comprehension. Charts employ bars, lines, or columns for data display. On the other hand, graphs use points, lines, and curves to illustrate variable relationships.

Charts and graphs come in various types:

• Bar charts: Used to compare discrete categories or values, bar charts display data as rectangular bars. They are excellent for showing comparisons and ranking items.
• Line graphs: Ideal for illustrating trends and changes over time, line graphs connect data points with lines. This makes them suitable for time-series data.
• Pie charts: These circular charts depict parts of a whole, showing the proportions and percentages of a data set.
• Scatter plots: Scatter plots display data points on a grid, illustrating relationships and correlations between variables.
• Histograms: Histograms are used to represent data distributions and frequencies. They provide insights into the spread and skewness of data.

Infographics

Infographics merge text, graphics, and visuals to present data concisely and captivatingly. They excel at simplifying complex ideas and presenting statistics in an easily understandable, visually pleasing way. They find common use in marketing, journalism, and education, enhancing data accessibility for a wide audience.

Dashboards are dynamic, tailor-made interfaces that provide real-time data visualization and analytics. They streamline monitoring Key Performance Indicators (KPIs) and metric tracking and facilitate data-driven decision-making .

Heatmaps use color intensity to represent data values, showing the concentration/distribution of data across a specific area. They are valuable for visualizing data patterns, such as website user activity (click heatmaps). Or areas of high and low interest in an image.

Effective data presentation is essential for conveying information clearly and engagingly. Here are tips to help you achieve effective data presentation:

• Understand your audience: Consider the knowledge level and expectations of your audience. Then, tailor your data presentation to match their needs. This ensures the information is accessible and relevant to your target audience.
• Select the appropriate visualization method: Choose the right chart, graph, or data presentation method for your data and objectives. For instance, bar charts are excellent for comparisons, while line graphs show trends over time .
• Simplify and focus: Avoid clutter and complexity to keep your presentation clean and straightforward. Moreover, highlight the most critical data points or insights and remove distracting elements.
• Use consistent design: Maintain a consistent design throughout your presentation. Use the same color scheme, fonts, and labeling style to provide visual coherence. This consistency enhances readability.
• Label clearly: Ensure that all elements of your presentation of data are clearly labeled. Include titles, axis labels, and data source references to prevent confusion.
• Provide context: Help your audience understand the context of the data. Explain what the data represents, its importance, and any relevant background information.
• Test for clarity: Run a test presentation to a small group to gauge how well the information is received. This allows you to identify any areas that may need clarification or adjustment.
• Stay up to date: Stay current with the presentation of data best practices and tools. Technology and design trends evolve, so it’s important to keep learning to improve your skills.

Best Data Presentation Implementation

Excel, the old stalwart of spreadsheets, is excellent for crunching numbers and organizing data. But when it comes to data visualization , it doesn’t quite “excel.”

We have a solution – ChartExpo.

ChartExpo breathes life into your Google Forms survey data when analyzed in Excel.

It turns your survey data into captivating visual masterpieces, all in just a few clicks.

Benefits of Using ChartExpo

• ChartExpo’s got it all – a visual feast for your data. With a wide array of visualizations, you can cherry-pick the perfect one to dazzle your audience.
• No more data headaches – ChartExpo streamlines analysis and presentation, making data look more attractive.
• Say goodbye to coding dilemmas; ChartExpo’s user-friendly interface helps you create jaw-dropping visualizations with zero coding skills.
• Unleash your creativity with ChartExpo’s customization options. You can spice up your visuals with colors, fonts, and styles that reflect your flair.
• And the best part? It won’t break the bank. You get a full-on data visualization extravaganza with a free 7-day trial and a $10 monthly plan.

How to Install ChartExpo in Excel?

• Open your Excel application.
• Open the worksheet and click the “ Insert ” menu.
• You’ll see the “ My Apps ” option.
• In the office Add-ins window, click “ Store ” and search for ChartExpo on my Apps Store.
• Click the “ Add ” button to install ChartExpo in your Excel.

ChartExpo charts are available both in Google Sheets and Microsoft Excel. Please use the following CTA’s to install the tool of your choice and create beautiful visualizations in a few clicks in your favorite tool.

Assume the responses to your survey are as shown in the table below.

This table contains sample data. Expect many responses and questions in real life.

• To get started with ChartExpo, install  ChartExpo in Excel .
• Now Click on My Apps from the INSERT menu.

• Choose ChartExpo from My Apps , then click Insert.

• Once it loads, choose the “ Likert Scale Chart ” from the charts list.

• Click the “ Create Chart From Selection ” button after selecting the data from the sheet, as shown.

• When you click the “ Create Chart From Selection ” button, you have to map responses with numbers manually. The Likert scale has this arrangement:
• Extremely Dissatisfied = 1
• Dissatisfied = 2
• Neutral = 3
• Satisfied = 4
• Extremely Satisfied = 5
• Once all is set, click the “ Create Chart ” button.

• ChartExpo will generate the visualization below for you.

• If you want to have the chart’s title, click Edit Chart , as shown in the above image.
• Click the pencil icon next to the Chart Header to change the title.
• It will open the properties dialog. Under the Text section, you can add a heading in Line 1 and enable Show .
• Give the appropriate title of your chart and click the Apply button.

• Let’s say you want to add text responses instead of numbers against every emoji.
• Click the pencil icon next to the respective emoji. Expand the “ Label ” properties and write the required text. Then click the “ Apply All ” button.
• Click the “ Save Changes ” button to persist the changes.

• Your final chart will appear below.

• 45% of customers expressed satisfaction with the venue selection, 40% were dissatisfied, and 15% remained neutral.
• Regarding the coordination of the wedding day events, 50% were satisfied, while 40% expressed dissatisfaction.
• Regarding the quality of services provided by the wedding organizer, 50% were satisfied, and 35% were dissatisfied.
• 48% of customers expressed satisfaction with the wedding organizer, with 18% extremely satisfied.
• 38% expressed dissatisfaction, with 13% extremely dissatisfied.
• 13% remained neutral.

What are the types of data presentation methods?

Data presentation methods include;

• Tables for structured data.
• Charts and graphs for visual representation.
• Infographics for concise visuals.
• Dashboards for interactive data.
• Heatmaps for data concentration

What is the difference between data analysis and data presentation?

Data analysis involves examining and interpreting data to extract insights and patterns. Data presentation focuses on visualizing those findings to make information understandable and engaging.

Understanding the different methods of data presentation is essential for effective communication in our data-driven world. Tables, charts, infographics, dashboards, and other techniques enable us to transform complex data into clear, engaging visual stories.

Each method has unique strengths, making it suitable for specific data types and audience preferences. For instance, tables enhance simplicity, charts and graphs promote clarity, and infographics improve visual appeal. Either way, each method enhances comprehension and enables informed decision-making.

Moreover, interactivity facilitated by dashboards and heatmaps empowers you to explore data independently. This fosters a culture of data-driven exploration and analysis.

Ultimately, data presentation goes beyond mere aesthetics; its core purpose is to infuse data with meaning. When we tell stories with data, we can inspire change, improve understanding, and unlock the power of information.

Choose the right method, practice effective design, and know your audience. These are the keys to presenting data that informs, engages, and makes a lasting impact.

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Effective Data Presentation: Elevating the Impact of Your Findings

In the world of academia, research is not merely about conducting experiments and collecting data; it's about sharing your discoveries with the world. The ability to present your findings effectively is often just as crucial as the research itself. In this article, we will delve into the art and science of data presentation, exploring strategies that can elevate the impact of your research findings and captivate your audience.

The Power of Data Presentation

In the ever-evolving landscape of scientific research, the adage "knowledge is power" has never been truer. The fruits of rigorous experimentation and analysis are encapsulated in data, and the ability to harness this data effectively through presentation can wield transformative influence.

Data, in its raw form, is often a labyrinth of numbers, figures, and statistics. While these data points hold the keys to unraveling mysteries and answering research questions, their inherent complexity can pose significant challenges to researchers and, more critically, to those they seek to communicate with.

Enter the art and science of data presentation—an indispensable facet of scientific communication that acts as the bridge between the intricate world of research and the broader audience. It's the magic wand that can distill complexity into clarity, transforming dry facts and figures into a vivid narrative.

Effective data presentation is a multifaceted endeavor, incorporating elements of design, psychology, and storytelling. At its core, it's about making data accessible, understandable, and memorable. Through skillful presentation, researchers can not only convey their findings but also imbue them with relevance and impact.

One of the most potent tools in the data presentation arsenal is visualization. Graphs, charts, and infographics have the remarkable ability to breathe life into data. They convert abstract numbers into visual patterns and relationships that the human brain can grasp intuitively. A well-crafted graph can reveal trends, outliers, and correlations with a glance, sparing the audience the arduous task of deciphering spreadsheets.

However, choosing the right visualization method is an art in itself. Different types of data call for different types of visuals. Bar charts excel at comparing discrete categories, while line graphs elegantly depict trends over time. Pie charts offer a snapshot of proportions, and scatter plots unveil relationships between variables. The key is selecting the visual format that aligns with your data's inherent structure and the message you intend to convey.

But data presentation goes beyond aesthetics. It is fundamentally about storytelling. Data, no matter how meticulously gathered, remains inert until woven into a narrative. Researchers should embark on the journey of data presentation by framing the research question and explaining its significance. They should guide their audience through the methodology and findings, crafting a story that unfolds logically and coherently.

A compelling narrative, akin to a detective novel, captivates the audience's attention and sustains their engagement. It transforms data from a sterile collection of points into a dynamic, evolving story of discovery.

In this narrative, clarity and simplicity are essential companions. A cluttered or confusing presentation can derail even the most captivating story. Labels, legends, and captions should serve as signposts, guiding the audience through the visualization without causing distraction or confusion. Colors, when used judiciously, can accentuate key points, but excessive or arbitrary color choices can obfuscate rather than elucidate.

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Visualizing your data.

In the realm of scientific research, data is the linchpin upon which discoveries are built, theories are validated, and knowledge advances. Yet, data alone can be inscrutable, a mosaic of numbers and figures that requires translation to unveil its true significance. This is where the art of data visualization comes into play, transforming raw data into a visual narrative that is accessible, comprehensible, and impactful.

Data visualization is more than just a tool; it's a language in itself. It speaks to our innate human capacity to process visual information quickly and efficiently. A well-crafted data visualization can unlock patterns, trends, and insights that might remain hidden in a sea of digits and decimals.

The first step in harnessing the power of data visualization is selecting the appropriate visual format for your data. Not all data can be effectively conveyed through the same means, and choosing the right tool for the job is paramount. Here, the type of data you're dealing with and the story you want to tell are key considerations.

Bar charts, for instance, excel at comparing discrete categories or showing frequency distributions. They are ideal for conveying information such as survey results, market share, or demographic data. Line graphs, on the other hand, are suited for illustrating trends over time, making them valuable for tracking stock prices, temperature fluctuations, or population growth. Pie charts are well-suited for displaying proportions and percentages, making them useful for showing the composition of a whole, such as a budget breakdown or the distribution of resources.

Scatter plots are invaluable when exploring relationships between variables. They allow researchers to identify correlations, outliers, and clusters within the data. Heatmaps can highlight variations in data by using color gradients to represent values, making them excellent for visualizing geographic trends, population density, or any data with spatial dimensions.

The key to effective data visualization is aligning the chosen format with the nature of the data. For example, when dealing with categorical data, bar charts or pie charts may be most effective, while time-series data is best suited to line graphs. Additionally, the choice of visualization should enhance the narrative you wish to convey. A well-designed visualization should tell a story, guiding the audience through the data and emphasizing the most salient points.

The aesthetics of data visualization should not be underestimated. Colors, typography, and layout play a vital role in conveying information and eliciting emotional responses. Thoughtful use of color can draw attention to key data points, while an appropriate choice of fonts and labeling ensures clarity and legibility. However, simplicity should always be the guiding principle. Extraneous embellishments or overly complex designs can detract from the core message.

Tell a Story

In the world of scientific research, data isn't just an assortment of numbers, graphs, and tables—it's a powerful narrative waiting to be unveiled. Effective data presentation transcends the mere display of information; it weaves a compelling story that captivates and informs.

At its core, every research endeavor begins with a question—a curiosity that propels scientists forward. The journey from that initial inquiry to the culmination of research findings is, in essence, a story. It's a narrative of exploration, experimentation, and discovery.

To make data presentation truly impactful, researchers must embrace the role of storytellers. They should aim to create a narrative arc that mirrors the trajectory of their research journey. This narrative can be broken down into several key elements:

1. The Research Question: Every good story begins with a question. In scientific research, this is the inquiry that sparked the investigation. It's the "why" behind the research—the driving force that sets everything in motion. Communicate the significance of this question to your audience, explaining why it matters on a broader scale.

2. The Methodology: Just as an author crafts the setting and characters in a story, researchers establish the context and parameters of their work. Describe your research methods and experimental design, providing the audience with a clear understanding of how you embarked on your scientific journey.

3. The Journey: The heart of any story lies in its unfolding journey. In research, this corresponds to the data collection and analysis phase. Detail the challenges you encountered, the surprises you stumbled upon, and the pivotal moments that shaped your findings. Make your audience feel like they're part of the adventure.

4. The Climax: Just as stories build toward a climactic moment, research culminates in a pivotal discovery or result. Present this moment with flair, emphasizing its significance and the impact it has on the broader field of study. This is the "a-ha" moment that your audience should remember.

5. The Resolution: In research, the resolution is the interpretation of results and their implications. What does your data reveal, and how does it answer the initial research question? This is where you connect the dots, showing how your findings fit into the larger scientific puzzle.

6. The Takeaway: Every story imparts a lesson or message. In research, this corresponds to the key insights or actionable information derived from the study. What should your audience learn from your research, and how can it be applied in practice or further investigation?

While the structure of a research story follows a similar arc to traditional narratives, it's essential to remember that clarity and simplicity are paramount. The language should be accessible to a broad audience, avoiding unnecessary jargon or technical complexity. Visual aids, such as graphs and charts, should support the narrative, enhancing understanding without overwhelming.

Clarity and Simplicity

In the realm of data presentation, the adage "less is more" holds a profound truth. As scientists endeavor to communicate complex findings, the clarity and simplicity of their presentations become paramount. While visual appeal and complexity have their place, the ultimate goal of data presentation is to convey information in a way that is accessible, understandable, and memorable.

Clarity begins with the design of visual elements. Visualizations, such as graphs and charts, should be clean and uncluttered. Excessive decorations or embellishments can obscure the message, detracting from the overall impact. The data should be the star of the show, and any design elements should serve to enhance, not distract.

The use of color, an essential tool in data presentation, should be deliberate and meaningful. Color choices should aid comprehension rather than hinder it. For instance, color can be employed to highlight specific data points or trends, making them stand out. Conversely, excessive or erratic use of color can create confusion and lead to misinterpretation.

Typography and labeling play a pivotal role in clarity. Text should be legible and appropriately sized. Labels and captions should be concise yet informative, guiding the audience through the visualization without ambiguity. Every element of the presentation should serve a purpose, contributing to the overall narrative of the data.

Simplicity extends beyond design aesthetics; it encompasses the narrative structure as well. The storyline should be straightforward and logical, guiding the audience from the research question to the key findings without unnecessary detours. Each visual aid should serve a specific purpose in advancing the narrative, enhancing the audience's understanding, and emphasizing critical points.

Simplicity also applies to the use of language. Scientific jargon should be minimized, and complex concepts should be explained in a clear and accessible manner. The goal is not to oversimplify but to strike a balance between scientific accuracy and audience comprehension. The audience should leave with a profound understanding of the research without feeling overwhelmed by technical language.

The power of simplicity lies in its ability to transcend barriers. Effective data presentation should be accessible to a wide audience, including those without specialized knowledge in the field. It should convey complex ideas in a way that resonates with experts and newcomers alike. When simplicity is achieved, data presentations become inclusive and egalitarian, opening the door to a broader spectrum of understanding and engagement.

Engage Your Audience

Effective data presentation is not a one-way street; it's a dynamic exchange between the presenter and the audience. To truly elevate the impact of your findings, it's crucial to actively engage your audience on both intellectual and emotional levels. By doing so, you can transform passive viewers into active participants who not only understand your data but also resonate with it.

Engagement begins with transparency and accessibility. Your audience should feel welcomed into the world of your research, regardless of their prior knowledge. Start by clearly articulating the research question and its broader significance. Explain the methodology and data sources, demystifying the process for those unfamiliar with your field. A well-informed audience is an engaged audience.

Inviting your audience to interact with your data can foster a deeper connection. Consider incorporating elements like interactive graphs or live demonstrations, especially in digital presentations. Allow your audience to explore the nuances of your data, empowering them to draw their own conclusions. This participatory approach not only enhances comprehension but also sparks curiosity.

Questions and discussions are the lifeblood of engagement. Encourage your audience to ask questions throughout your presentation, not just at the end. Create an atmosphere of openness where inquiries are welcomed and answered promptly. Questions often lead to fruitful discussions that illuminate different facets of your research.

Beyond intellectual engagement, tap into the emotional dimension. Craft a narrative that resonates with your audience's values and concerns. Highlight the real-world implications of your findings and how they relate to broader societal or environmental issues. Show your audience why your research matters on a personal and global scale.

Visual engagement is equally vital. Design your presentation materials with the viewer in mind, ensuring that visual aids are clear, intuitive, and visually appealing. Use animations or transitions sparingly to maintain the audience's attention without overwhelming them. Visual engagement should enhance, not distract from, the content.

Variety is a powerful tool for sustaining engagement. Incorporate a mix of content formats, such as text, images, videos, and interactive elements. Change the pace of your presentation to keep the audience's attention. Transition smoothly between data-driven segments and narrative-driven storytelling.

Another effective way to engage your audience is to anticipate their questions and provide answers proactively. Address potential points of confusion or skepticism before they arise. This demonstrates a deep understanding of your research and instills confidence in your expertise.

Practice and Feedback

Becoming a master of data presentation is not an innate talent; it's a skill honed through practice, refinement, and a willingness to learn. To truly elevate the impact of your findings, dedication to continuous improvement is essential. Engaging in deliberate practice and seeking constructive feedback are the cornerstones of achieving excellence in data presentation.

Practice is the crucible where proficiency is forged. Just as athletes train rigorously to excel in their sport, data presenters must practice the art of communication consistently. Begin by rehearsing your presentation multiple times before the actual event. Familiarity with your content and the flow of your narrative will boost your confidence and reduce anxiety.

Record your practice sessions to assess your performance objectively. Pay attention to your pacing, clarity of speech, and body language. Identify areas where you stumble or where your message may not be as clear as intended. Each practice session is an opportunity to refine your presentation, making it more polished and effective.

Additionally, practice in front of a trusted colleague, mentor, or friend who can provide valuable feedback. Encourage them to ask questions and offer constructive criticism. This external perspective can uncover blind spots and help you address potential areas of improvement that you might have overlooked.

The process of seeking feedback is a crucial step in your journey toward mastery. Embrace feedback as a gift, even if it highlights areas where you can enhance your skills. Constructive criticism is a powerful tool for growth, and it can lead to breakthroughs in your presentation ability.

Engage with your audience post-presentation as well. Collect feedback from attendees to gain insights into their perspectives and preferences. Ask for suggestions on how to enhance future presentations. This not only demonstrates your commitment to improvement but also fosters a sense of connection with your audience.

Learning from others is another valuable aspect of the feedback loop. Study presentations by skilled communicators in your field or industry. Analyze what makes their presentations effective, from their choice of visuals to their storytelling techniques. Adapt and integrate these insights into your own presentations.

Embracing technology can also aid in practice and feedback. Utilize video recording and editing tools to review your presentations critically. Visual feedback can reveal nuances in your delivery that are difficult to discern in the moment. Moreover, virtual presentation platforms often offer analytics that can provide data on audience engagement and interaction.

Remember that mastery is not achieved overnight. It's an ongoing journey of refinement. With each practice session and each round of feedback, you inch closer to becoming a proficient data presenter. Embrace the process, remain open to improvement, and take pride in your dedication to delivering impactful presentations that resonate with your audience.

In the world of research, presenting your findings effectively is as crucial as the research itself. Effective data presentation can elevate your work, making it more accessible, engaging, and impactful. By mastering the art of data visualization, storytelling, and audience engagement, you can ensure that your research leaves a lasting impression and contributes significantly to your field.

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20+ Free PowerPoint and Google Slides Templates for Data Presentations

Graphs and diagrams are crucial in data presentations since they make complex information much more understandable . Imagine copying and pasting all 1,000 rows of data onto your slides and expecting your audience to understand it. It’s really hard, isn’t it?

Presenting your data analysis doesn’t have to be a struggle. These PowerPoint and Google Slides templates will significantly cut down your preparation time, allowing you to focus on ensuring the accuracy of your data analysis, while we handle the design.

This article is divided into two sections: the first covers our free PowerPoint templates , and the second covers our free Google Slides templates . Oh, and in case you’re wondering, yes, you can use a PowerPoint template in Google Slides and vice versa .

PowerPoint Templates for Your Data Presentations

Let’s start with our data presentation templates in PowerPoint. 

As you may know, PowerPoint is one of the best presentation software programs available today. So take advantage of all its features with our free templates! 

1. Playful Venn Diagram PowerPoint Template

Venn diagrams are great when it comes to showing the similarities and differences between 2 or more data sets. Just by looking at the diagram, your audience can tell if there’s anything common between data sets.

Likewise, if you want to emphasize the differences between data sets, Venn diagrams are great for that purpose, too. Now, for this template pack, you’ve got 10 slides to choose from. Pick your favorite!

2. Graph, Diagram, and Data Sheet PowerPoint Template

Using graphics is the best way to create data presentations, and at 24Slides, we know that! 

If you're looking for simple yet creative graphs, including a Gantt Chart in PowerPoint , this 5-slide template pack is perfect for you. Take a look at the previews and download the pack for free!

3. Generic Data Driven PowerPoint Template

Here are more basic graphs for your presentation decks. This template can be used for many situations, including a job interview, a sales presentation, or even an academic one.

If you want to make the slides look even more unique, you can customize the background with some personal images.

4. Cockpit Chart PowerPoint Template

If you’re giving a high-level presentation to decision-makers who need to see hard data and proper analysis, then this free template pack is for you.

With this pack, each of the 9 slides brings a fresh example of charts and diagrams, ready to make your data come alive. Click on the title and pick the perfect one to captivate your audience!

5. Matrix Chart PowerPoint Template

A matrix chart allows you to compare and analyze different sets of data. You can use it to prove certain data sets are related. Plus, you can even show the strength of that relationship. 

Download our 8 matrix models for free now! 

6. Stair Diagram PowerPoint Template

Like their namesake, stair diagrams are great for showing a series of steps or progression in data presentations. You can use good, old-fashioned bullet points, but it’s not going to be much fun. 

This template offers 10 different stair diagrams to choose from; the screenshot above shows a steps stair diagram . Explore all of them for free!

7. Tables PowerPoint Template

Tables have been a staple in data visualization for a long time, and we believe they continue to be widely used today. Despite the evolution of various visualization tools and techniques, tables remain a fundamental way to present data clearly and effectively.

This template pack offers standard table slides as well as creative designs, including a subscription slide, a table with different symbols, and a matrix organizational structure. Choose your favorite based on your needs!

8. Flow Chart PowerPoint Template

Flowcharts are extremely useful for documenting certain company procedures. They can even present the company hierarchy and who is responsible for certain tasks. 

Instead of verbally discussing processes, why not try using a flowchart? 

9. Financial Pie Graphs PowerPoint Template

Whether you’re presenting in front of the directors of your company or potential investors for your startup, these radial charts will help you get your point across. With a few clicks, you can customize these resources and make them your own!

This data visualization template includes 3 slides: a financial pie chart for comparison (shown above), a ring pie chart, and a doughnut pie chart slide.

10. Research and Development Data PowerPoint Template

Every successful startup needs a solid research and development (R&D) process, which can be lengthy and costly and often require external funding. 

This template pack is designed to help you create a concise, impactful presentation for potential investors. Remember, while design is important, it's your passion and persuasive skills that will ultimately drive your success in a data presentation!

11. Sales Report PowerPoint Template

Our list of data presentation templates wouldn’t be complete without a sales report template in PowerPoint. 

This pack includes sales bar charts, line charts, radial charts, sales data visualization sections, and annual sales report slides. Everything you need in one presentation deck!

12. Data Driven PowerPoint Template

This 9-slide template pack contains charts and diagrams for your business presentations or any project you’re leading. 

With its thoughtful design and diverse range of graphs, this template is perfect for most financial presentations. So, what are you waiting for? Check out our template pack now!

13. Block Chain Data PowerPoint Template

Cryptocurrency and blockchain are all the rage nowadays. Many people became millionaires overnight, but many more gambled and lost their entire life savings!

Don’t get left behind and explore more about digital currencies with our free template pack.

Google Slides Templates for Your Data Presentations

PowerPoint is awesome, but Google Slides is also a brilliant tool. If you haven't used this platform, this is your signal to start doing so. Unlock the potential of your data with our free templates, crafted to transform your slides into stunning visual stories!

With Google Slides templates, there's no need to download anything to your computer. Simply create an account on our Templates Repository and make a copy of the template. As you can imagine, editing it will be a breeze!

1. Corporate Data Presentation in Google Slides

Our Google Slides template provides essential charts for data presentation, including bar charts, pie charts, and line charts. 

The best part? Each chart is linked to a Google Sheets spreadsheet, giving you complete control over the data.

2. Life Cycle Diagram in Google Slides

A product’s life cycle—spanning from introduction to growth, maturity, and decline—directly influences the marketing and pricing strategies of your company. So you have to know how to monitor each stage.

This template pack includes a summary slide to introduce your objectives and guide the audience. It also features an area chart to visually represent product growth over time, helping to clarify the current stage. See it yourself by clicking on the title!

3. Playful Pie Chart in Google Slides

Unlike the other pie charts in this article, this one will be very easy to use. You’ve got 8 pie chart slides to choose from, including 3D and 2D pie charts in Google Slides. 

Choose the ones that best convey your message, then edit and present them!

4. Dashboard Template in Google Slides

A dashboard slide can convey everything your audience needs in just one slide. While you can use separate slides for each chart, it won't have the same impact as a dashboard (as you can see in the image). 

Dashboard templates are perfect for elevator pitches because they are highly eye-catching. Explore the models we’ve prepared for you!

5. Waterfall Diagram Template in Google Slides

Waterfall charts are excellent for financial presentations, allowing you to show gains or losses over time. They are also useful for demonstrating changes in cash flow or stock market performance. 

This template pack includes a waterfall performance comparison slide (pictured), a waterfall flowchart diagram, and a project timeline slide. Download all for free!

6. Playful Data-Driven Template in Google Slides 

Think data presentation templates have to be serious? Think again! 

This 10-slide playful template is packed with various charts and graphs, including bar graphs, radar charts, waterfall statistics, treemaps, and more. Log in to our Template Repository to download this free Google Slides template.

7. Circle Diagrams in Google Slides 

This template pack features 8 types of circle charts in Google Slides, including pie charts, timelines , cyclical processes, project management charts, and Venn diagrams. 

The design is both playful and professional, making it suitable for any audience!

8. Creative Data-Driven and Financial Charts in Google Slides

Number crunchers will love the clean design of these 7 data-driven slides. With ample white space and visually appealing graphics, it will help your audience grasp complex financial information. 

You only need to replace the placeholder content with your own information and practice your data presentation for the best results!

9. Graph, Diagram, and Data Sheet Presentation in Google Slides

This pack of 5 Google Slides templates includes a versatile collection of charts and diagrams, perfect for any presentation. 

Remember that each chart is fully customizable to meet your specific needs. Download this data visualization pack for free today!

10. SWOT Presentation Templates in Google Slides

Data visualization isn’t just for numbers; it also includes qualitative data. If you need to present a SWOT analysis, these templates are your go-to solution. 

With 8 pre-designed SWOT diagrams, you can easily create impactful presentations. Best of all, they’re free to download—what are you waiting for?

11. ICO Presentation Template in Google Slides

Planning to present an Initial Coin Offering (ICO) for your company or startup? 24Slides has you covered.

We’ve designed this data presentation template with the unpredictable nature of digital currencies in mind, featuring a chart that helps you clearly explain all the details to your audience.

12. Budget Presentation Template in Google Slides

Presenting a project's budget doesn’t have to be boring!

This resource offers 8 different diagrams in Google Slides, making it easy to streamline your design process. Download our data visualization pack for free now! 

13. Financial Template Pack in Google Slides

You should know that effective financial management is crucial to every business’s success. So why not showcase that professionalism in your financial slides? 

Explore this final Google Slides template pack and impress your audience with professional and polished data slides!

I hope these 20+ free PowerPoint and Google Slides templates for data presentations are helpful for any project you have in mind. Our templates are designed to be visually attractive while maintaining a professional look. Follow us and stay tuned for all the content we’ve prepared for you!

Where you can find templates for FREE?

In 2024, it's no mystery that there are various ways to optimize your time when designing presentations. One of the most effective methods is using pre-designed templates, and of course, 24Slides has its own repository.

When you enter our Template Repository , you'll find data visualization templates, marketing templates, portfolio templates, planning templates, and much more!

It’s time to work smart, begin today .

If you like this content, you should check:

• Mastering the Art of Presenting Data in PowerPoint
• 20+ Self Introduction PowerPoint Templates: Download for free!   
• The Ultimate Brand Identity Presentation Guide [FREE PPT Template]  
• 11 Time-Saving PowerPoint Hacks for Creating Quick Presentations
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Using Data for Better Online Presentations

• Alexandra Samuel

Featuring Alexandra Samuel, speaker, researcher, and author of Work Smarter with Social Media and of the HBR article “How to Give a Data-Heavy Presentation.”

Data storytelling has become a powerful part of the communications toolkit. And this power isn’t just limited to written communication like articles and reports. Data storytelling is also essential to delivering presentations—including online presentations—that are more credible and visually compelling.

Knowing how to develop and deliver online data-driven presentations is now a crucial skill for many professionals. This skill can be used to:

• Describe a new strategy or initiative to colleagues
• Convey an opportunity to customers or partners

The bottom line: stories are much more compelling when backed by numbers.

Researcher and author Alexandra Samuel, author of “How to Give a Data-Heavy Presentation,” has developed practical tips to help presenters deliver more compelling data-driven online presentations.

In this Harvard Business Review webinar, Samuel shares:

• Best practices for giving visually compelling data-driven online presentations
• Ways to use data strategically, without overwhelming your audience
• Tips for combining data, images, and words to improve the power of presentations
• Advice for avoiding common mistakes, such as letting data overtake the presentation

• Alexandra Samuel is a tech speaker and data journalist who creates data-driven reports and workshops for companies around the world. She is the co-author of  Remote, Inc.: How to Thrive at Work…Wherever You Are   (with Robert C. Pozen) and the author of HBR’s  Work Smarter With Social Media . Follow her on Twitter at  @awsamuel .

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22 Powerful data storytelling examples to find your inspiration

Thinking about taking your data storytelling to the next level? You’ve come to the right place! If you take a page out of the playbook from some of the best data storytellers in the game, you’ll be set. Not sure where to start? Have no fear, we’ve got examples of 22 powerful data stories that’ll make your insights worth remembering. So sit back, relax and get ready to join an exclusive club of top-notch data storytellers – let’s do this!

What you'll find in this article

• 1 Why is data storytelling the future of data visualization?
• 2.0.1  1. Decoding the fear – Covid-19 Most Common Symptoms
• 2.0.2 2. 100,000 responses and counting happiness – Nathan Yau
• 2.0.3 3. Making History – Brexit by Numbers
• 2.0.4 4. Triggering emotions – The Fallen of World War II
• 2.0.5 5. Can you predict a hurricane? – NASA GODDARD
• 2.0.6 6. Don’t underestimate the Visual Impact – Profiling the Parks 
• 2.0.7 7. Against All Odds – MailChimp 2020 Annual Report 
• 2.0.8  8. Design can drive impactful storytelling
• 2.0.9 9. The delight factor – Why Do Cats and Dogs…?
• 2.0.10  10. Reimagine meta-data in visuals
• 2.0.11  11. Examining Inequality – Gates Foundation
• 2.0.12 12. Relatable Data Storytelling
• 2.0.13  13. What’s your message? – What we eat makes a difference
• 2.0.14  14. Story at a glance – As the word turns
• 2.0.15 15. Creativity with public data set – Cicadas, A Data Story
• 2.0.16 16. Box Office Mojo – Chit Chart
• 2.0.17 17. Good storytelling simplifies data – How to forecast an American’s vote
• 2.0.18 18. Hand the reins to your viewers – The Rhythm of Food
• 2.0.19 19. No way Norway – Chit Chart
• 2.0.20 20. Put the spotlight on the numbers- What Africa will look like in 100 years
• 2.0.21 21. More or Less? – She Said More
• 2.0.22 22. Needle in Haystack – Which 2020 Candidates Have the  Most in Common on Twitter
• 3 Honorary Mentions
• 4.1 Conclusion

Why is data storytelling the future of data visualization?

Visualizing data allows people to see relationships, patterns, and trends in the information you’re trying to communicate. However, it can sometimes be difficult for people to interpret visualizations without any background knowledge about the subject matter at hand. Luckily, data storytelling is another way to convey your insights visually. It provides an even stronger connection between your audience and the information you’re presenting by adding context and narrative to your data set.

A 2010 research study explored the effects of visual embellishment on information architecture. Most information design experts often suggest keeping ” chart junk” at a minimum in your presentations. This term loosely refers to overly embellished visualizations, charts, and bar graphs. However, in this research published in ACM (Association for Computing Machinery) Digital Library ,  it was confirmed that visual embellishments used in a narrative can increase comprehension and memorability of charts. Storytelling makes all the difference!

There’s no limit to what you can explore or learn with data storytelling. Here are 22 data storytelling examples to inspire creating a powerful impact with your content. 

 1. Decoding the fear – Covid-19 Most Common Symptoms

There have only been a handful of global crises that have left as large an impact on us as COVID-19. People all around the world are united in their deadly fear of the virus. Many continue to suffer in the aftermath of its devastation. With this excellent data storytelling example, Chit Chart has decoded the severity of the COVID-19 symptoms and ranked them in order. The lighter color palette purposefully draws attention towards the two significant elements in the story- The thermometer and the core message – Not Everybody’s Got The Fever!

Key Takeaway – Find a relatable factor so your story is created from the perspective of your audience. This will present your story as a solution to their problem.

Source – Chit Chart

2. 100,000 responses and counting happiness – Nathan Yau

This is a great example of exploratory data storytelling when you have a huge pool of data driving your story. 10,000 participants listed ten moments each that made them happy recently. The Happy Database was created with these 100,000 responses. Yau broke down the data sets into moment clusters. He defined the reasons for happiness using parts of sentences. Here Subject denoted the Self Vs. Others. The Verb outlined the triggering action for happiness). Finally, the Object of the sentence was the identifying point of happiness. The use of pastels and flowy lines in the graphics is deliberate. It shifts the focus from the sheer bulk of the data.

Key takeaway: Start with any question you want to answer, and then use the data to tell the story. It keeps your story following a single direction.  Like here they started with ” What makes people the most happy?” 

Source – Nathan Yau

3. Making History – Brexit by Numbers

The entire world was divided on the impact of the UK’s exit from the European Union. However, the sheer amount of information being thrown around was further confusing the decision-making process. However, this informative data storytelling example featured by Sky News tackled this very complicated topic with ease and precision. They used real data points to recreate the immediate global impact of Brexit. Sky News anticipated that such a complex topic might increase the bounce rate. To circumvent this, they have used bright colors and interactive visualization to keep the viewers engaged till the end. 

Key Takeaway – The more complicated your data sets, the more attention should go to creative detailing and simpler visualization in the data story. Use precise numbers and short texts to drive your point home.

Source – Sky News

4. Triggering emotions – The Fallen of World War II

Halloran has used several elements of storytelling to make his data come alive. The visual design draws the viewer in. The stark white background highlights the red dots representing deaths. Each color has a purpose and helps convey the message. Halloran uses numbers to show how many lives were lost in each nation. With the massive data, viewers understand the full scope of the tragedy. Finally, an effective call to action ends the story. He includes links to organizations that are helping to preserve the memory of those lost in World War II. This encourages the viewers to act on their emotions by the end of the story.

 Key Takeaway – Use multiple storytelling elements to create a compelling narrative. In this example, Halloran has used a combination of visuals, data, and a call to action. The purpose is to attract, affect and urge a reaction.

Source – Neil Halloran

5. Can you predict a hurricane? – NASA GODDARD

This project uses data-driven storytelling to explain the dynamics of a hurricane. At the center of the story is an animated map. It displays a current hurricane and its forecast trajectory. Other visual elements such as graphs, diagrams, and text provide the context . The data itself is used to illustrate the key points in the story. The animation is augmented with audio narration, which helps bring the visuals to life.  

Key takeaway – if your story deals with complex concepts, simplify the narrative for your viewers. In this example, they have used a combination of visuals and narration to do that.

Source – Nasa Goddard

6. Don’t underestimate the Visual Impact – Profiling the Parks 

The team behind Profiling the Parks has created a dynamic storyline. They have used interactive infographics to illustrate different aspects of each park. Clear, concise titles and descriptions outline each data point. This allows readers to quickly understand what they are looking at without having to dive into the details. The context and explanations make it easier for readers to interpret the data.

Key Takeaway – How you organize your content is critical for the structure of your story. In this example, each page design helps to show the features of the parks at a glance. Additionally, the team includes links to related projects and sources to provide even more insight and context.

 Source – Info we trust

7. Against All Odds – MailChimp 2020 Annual Report 

Against All Odds captures the spirit of resilience that drove Mailchimp’s growth in 2020. It explores the immense challenges posed by the global pandemic. Through anecdotes, quotes, infographics, and interactive features, the report keeps the viewers engaged until the very end. The bold color choices attract attention. While the data design specifically highlights the Key company milestones . They cover new product launches, growing the customer base, and expanding the team.

Key takeaway – Where the viewers might have a personal investment in the data story, highlight their perspective. This makes the story much more relatable. In this example, they include quotes from customers, employees, and partners. This gives the readers an immediate personal perspective on how Mail chimp’s success was enabled by its people. 

Source – Mailchimp 2020 Annual Report

 8. Design can drive impactful storytelling

Mailchimp’s annual reports prove that data-driven reports do not have to be boring. The 2019 “ Business Unusual “ report is constructed around a visual narrative. This proves that a creative design can drive the entire data story. The report makes use of contrast and hierarchy to create emphasis on key points. This makes it easy for readers to quickly identify the most relevant information. 

Key Takeaway – In detailed data stories, random interactive elements can add an x-factor. It makes your viewers feel part of the storytelling action. In this Mailchimp report, interactive timelines allow readers to explore the year’s milestones by themselves and discover insights into Mailchimp’s activities.

Source – Mailchimp 2019 Annual Report

9. The delight factor – Why Do Cats and Dogs…?

Why do cats and dogs, showcase how a seemingly mundane topic can be presented in a visually appealing and emotionally engaging way? The project explores a warm topic- the difference between cats and dogs.  To add an even more emotional element to their data storytelling, Bremer and Google Trends also compare the number of cat-related searches versus dog-related searches over the years. This comparison reveals a trend of declining searches for cats versus increasing searches for dogs. Even the color palette is carefully chosen to evoke a sense of harmony and balance. The typography is kept simple and legible. 

Key takeaway – Focus on creating emotional value. In this example, the delight factor stems from the choice of a very relatable topic. Further, the visual structure invites the readers to learn about the topic without feeling as if they are only getting raw numbers.

Source – Nadieh Bremer and Google Trends

 10. Reimagine meta-data in visuals

At the core of Seeing Spaces is the concept of flow. Brett Victor uses data visualizations to create a sense of movement and direction. Using color, shapes, and lines, he creates a dynamic environment that encourages viewers to explore and discover patterns in the data . He incorporates basic typography and grid-based layouts to organize information. He also utilizes sound to evoke a sense of tension and excitement as viewers navigate through the story.

Key takeaway – A successful conclusion is equally important for a compelling story structure. For example, Victor might present a series of bar graphs to illustrate the rise or decline of certain variables over time. However, he uses stories to reveal trends and patterns in the data to reveal why the data is important to the viewers.

Source – Seeing Spaces

 11. Examining Inequality – Gates Foundation

The Gates Foundation’s Examining Inequality report uses data storytelling to educate and inspire action. The report takes a deep dive into global inequality and its effects on different demographics. The use of graphics helps the reader better understand the big picture. For example, the infographic at the beginning of the report uses bars and colors to compare income inequality between countries. The Gates Foundation also utilizes stories from individuals to bring the report to life. These stories provide a human face to a complex problem.

Key Takeaway – When creating data-driven presentations, don’t lose sight of the final purpose of your story. If you want your viewers to be shocked, inspired, or compelled into taking an action, you have to spell it out. In this example, the report adds a list of actions and invites viewers to explore more global data indicators on the site.

Source – The Gates Foundation  

12. Relatable Data Storytelling

This piece explains the heartbreaking toll that Covid-19 has had on the U.S. population. At its core, this piece employs two key elements of data storytelling: visualizing data and writing a compelling narrative. Maps, bar graphs, and pie charts explain the death toll for each state at a glance. In addition, the visuals feature intelligent prose that helps to illustrate the loss of life in a more human and personal way.

Key Takeaway – Focus on the narrative that goes along with your data visualization. The narrative doesn’t always have to be prose. Carefully placed titles and captions can be just as effective. 

Source – VISUALIZING 500,000 DEATHS FROM COVID-19 IN THE U.S.

 13. What’s your message? – What we eat makes a difference

This initiative provides valuable insights into our relationship with the ocean. How can the choices we make around seafood have positive or negative impacts on marine life? It uses straightforward graphics to draw in readers without intimidating them with large amounts of data. The minimalistic design just puts undiluted focus on the message.

Key Takeaway – If you have a clear core message, don’t clutter it with visual elements. Good data storytelling will broadcast the core message right off the bat. The graphics are help to underline or highlight the message.

Source – Mariel Furlong and Alejandro Tumas

 14. Story at a glance – As the word turns

One key element of Uberti’s data storytelling was the intelligent use of visuals.  Every visual element stands alone as a data story in itself. For instance, he created an animation of the rise and fall of the usage of words over time. He opted for a circular chart design to break the monotony of data design in the story.  

Key takeaway – Use empathy to increase engagement. For instance, Uberti used anecdotes to explain why certain words became popular or declined in popularity. He also used metaphors to help readers visualize what was happening with the data. For example, he compared the rise and fall of words to the back and forth of a tennis match.

Source – Oliver Uberti

15. Creativity with public data set – Cicadas, A Data Story

Brewer uses several elements to capture the emergence of Brood X cicadas and its impact on nature and communities. The publication includes a range of visuals, from historic photos of cicada swarms to more recent aerial shots of Brood X emergence. 

Brewer also uses compelling statistics to help support her narrative. She references data from the US Department of Agriculture to provide context and a deeper understanding of the scale of the event. Bold Colours and large font size make it easy to follow the data story. 

Key takeaway – Make your story design scannable for a lasting impression. In this instance, the story design uses color blocks for great effect.  It is super easy to pick up the priority factors just by scrolling down once.

Source – Kayla Brewer

16. Box Office Mojo – Chit Chart

Choose elements that work together to provide a comprehensive view of the data. A big box of popcorn is an immediate connection to movie theatres. It is converted into a clean bar graph that shows all of the data variables at a glance. You can check out pertinent box office details of the top-grossing movies of all time.

Key Takeaway – Don’t get lost in the data. Whenever possible finish a data story without cluttering it. If you can pick one visual element and still cover your story, that’s great!

17. Good storytelling simplifies data – How to forecast an American’s vote

Every graphic in this piece is designed to add another layer to the data storytelling efforts. Interactive charts allow the readers to explore the implications of the data. Comparison charts provide insights that are applicable even outside the context of the presentation. A classic color palette and clean lines keep the article minimalistic.

Key Takeaway – In data storytelling, brevity is your friend. Ruthlessly simplify the data and keep it to the point. If the data is large, fall back on simple design to keep from overwhelming your readers. 

Source – The Economist

18. Hand the reins to your viewers – The Rhythm of Food

In the Rhythm of Food, Stefaner tells the story of the global food system. For this, uses data from google search interests to check key food trends over the years. He has plotted this data on an interactive year clock. The sheer volume of data could have overwhelmed the overall story but the visual design prevents this. The dynamic color choices and large text break strategically space out the visuals. The text breaks are also direct questions or calls to action. These literally invite the readers to dig into the data.

Key takeaway – Your data should be the leading character of the story. However, the information design is a strong supporting cast. Choose a few design elements but they should enhance the power of the data.

Source – Moritz Stefaner

19. No way Norway – Chit Chart

The chart uses visuals to quickly communicate information about the number of whales killed in Norwegian waters each year. This is a heartbreaking topic. The image of the cut-up whale sets this point across immediately. Each segment of the whale then represents a data cluster. Breaking down the data into smaller segments shows the impact that various countries have had on whale hunting. The story communicates a powerful message about the effects of human actions on our environment. 

Key Takeaway –  When picking design elements generously think about the symbolism of your design. For instance, the title design of this chart has the words “No Way Norway” arranged around a small design of a whale’s tail. On a closer look, you will realize the arrow has been shaped like a harpoon going through the diving whale. Even without the rest of the data, this simple graphic symbolically conveys the message of the chart. 

20. Put the spotlight on the numbers- What Africa will look like in 100 years

Through data storytelling, they explore the potential changes that Africa might experience over the next 100 years. While this is an exciting and thought-provoking glimpse into the future, the wide timeline means a higher volume of data. To deal with this, they provide clear visualizations to explain the data. Secondly, the conversational tone makes the narrative more reader-friendly. Finally, the article provides readers with plenty of background information on the topic. Including historical context and current trends helps to bring the data to life.

Key Takeaway – Effective delivery is one of the key elements of data storytelling. For high-volume data stories, it is important to simplify the narrative. Direct messages, short sentences, and a conversational tone work like a charm for this purpose.

Source – The Telegraph

21. More or Less? – She Said More

The first element of data storytelling is to have clear objectives. In the case of She Said More, this meant understanding the issue of gender inequality in the UK’s entrepreneurship landscape. Gender imbalance is explored through a comparison of the frequency of gender pronouns mentioned in the leading publications of the country. The visual is a litany of these gender pronouns arranged according to their percentage of appearance. Interestingly, the designers have refrained from using stereotypical pink to represent female pronouns. Instead, the golden color depicts females while the male pronouns are in blue.

Key Takeaway – Don’t tell a one-dimensional story. For instance, Nesta also emphasized inspiring outcomes as part of its data storytelling. The report highlighted both the challenges female entrepreneurs face and the progress that has been made so far. This gave readers hope that the gender gap can be overcome with the right policies in place. 

Source – Nesta

22. Needle in Haystack – Which 2020 Candidates Have the  Most in Common on Twitter

Five Thirty Eight smartly uses simplified data visualizations to compare 20 million data entries.  Each circle represents a candidate. The size of the circle indicates the relative frequency of the tweets for that candidate. Additionally, arrows indicate the similarity between the two candidates. The thickness of the arrow indicates the degree of similarity. This makes it easy to see which candidates have more in common at a single glance.

Key takeaway – Classic colors can give a timeless and modern feel to the visuals. For instance, the topic for this chart is dated for a particular year. But the data reference will remain relevant for future political researchers. Therefore the use of the classic visual design is ideal here.

Source – Five Thirty-Eight

Honorary Mentions

There are also some honorary mentions that were just too good to resist. 

• The Big [ Censored ] Theory by Manyun Zou – Screenshots and dialogue excerpts are arranged in neat timelines to present how China exclusively censors global broadcasts in the country.
• The Jews of Lebanon by The Arab News – A heart-wrenching minority report that uses data storytelling to outline the fading memories of the dwindling Jewish community in the country.
• 30 years of American Anxieties by The Pudding – 20,000 ” Dear Abby” letters are explored to create a data story of the issues that Americans worry about most.

How do you learn data storytelling?

If you’re looking to tell a story with data and aren’t sure how to proceed, here are the four key steps to follow. 

• Learn the Basics: Understand how different visualizations can help to improve how you communicate data-driven stories .
• Get Hands-On Experience: Explore different tools like Tableau, PowerBI or Excel. 
• Learn from Examples: Look at these existing examples of data storytelling in action.
• Share Your Work: Look for communities where you can receive feedback on your work

You can enroll in professional data storytelling courses conducted by certified instructors. Apex Global Learning provides a 2 days intensive Live Virtual Training program on data storytelling. The course is uniquely designed for a combination of a theoretical and hands-on approach to data storytelling essentials. Check out the course here !

Unlock the potential of data science and imagine a world where every customer interaction is uniquely tailored. Join us at the “Data Science for Personalized Customer Journeys” Xposium and dive into the art of predictive analytics and machine learning. Discover how data-driven insights can reshape customer experiences. Ready to leave generic interactions behind? Explore the Xposium here and be part of the future of personalization. Your customers will thank you!

Once you’ve analyzed the data storytelling examples we’ve collected, you can begin to apply the lessons to your own data visualizations. When crafting your own data stories, be sure to keep your audience in mind. Use visuals that make the most sense for them. For example, consider using a timeline to show key milestones if you’re presenting a story about a new product launch. Similarly, for sensitive topics choose visuals with emotional symbolism. But above all, learn to enjoy the process of creating data-driven stories that encourage immediate reactions.

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10 Methods of Data Presentation That Really Work in 2024

Leah Nguyen • 20 August, 2024 • 13 min read

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 and make your presentation as clear as the day? Let's check out these best ways to present data. 💎

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Get any of the above examples as templates. Sign up for free and take what you want from the template library!

Data Presentation - What Is It?

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 to cut 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.

#3 - Pie chart

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.

#4 - Bar 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 data presentation. 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.

#5 - Histogram

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.

#6 - Line graph

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).

#7 - Pictogram graph

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.

#8 - Radar chart

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 .

#9 - Heat map

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

Most US 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.

#10 - Scatter plot

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 quizzes 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 end your session with open-ended questions to see what your participants really think.

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👇

Frequently Asked Questions

What is a 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 the presentation?

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

Why should you use charts for presentation?

You should use charts to ensure your contents and visuals 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.

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Ideas and insights from Harvard Business Publishing Corporate Learning

Powerful and Effective Presentation Skills: More in Demand Now Than Ever

When we talk with our L&D colleagues from around the globe, we often hear that presentation skills training is one of the top opportunities they’re looking to provide their learners. And this holds true whether their learners are individual contributors, people managers, or senior leaders. This is not surprising.

Effective communications skills are a powerful career activator, and most of us are called upon to communicate in some type of formal presentation mode at some point along the way.

For instance, you might be asked to brief management on market research results, walk your team through a new process, lay out the new budget, or explain a new product to a client or prospect. Or you may want to build support for a new idea, bring a new employee into the fold, or even just present your achievements to your manager during your performance review.

And now, with so many employees working from home or in hybrid mode, and business travel in decline, there’s a growing need to find new ways to make effective presentations when the audience may be fully virtual or a combination of in person and remote attendees.

Whether you’re making a standup presentation to a large live audience, or a sit-down one-on-one, whether you’re delivering your presentation face to face or virtually, solid presentation skills matter.

Even the most seasoned and accomplished presenters may need to fine-tune or update their skills. Expectations have changed over the last decade or so. Yesterday’s PowerPoint which primarily relied on bulleted points, broken up by the occasional clip-art image, won’t cut it with today’s audience.

The digital revolution has revolutionized the way people want to receive information. People expect presentations that are more visually interesting. They expect to see data, metrics that support assertions. And now, with so many previously in-person meetings occurring virtually, there’s an entirely new level of technical preparedness required.

The leadership development tools and the individual learning opportunities you’re providing should include presentation skills training that covers both the evergreen fundamentals and the up-to-date capabilities that can make or break a presentation.

So, just what should be included in solid presentation skills training? Here’s what I think.

The fundamentals will always apply When it comes to making a powerful and effective presentation, the fundamentals will always apply. You need to understand your objective. Is it strictly to convey information, so that your audience’s knowledge is increased? Is it to persuade your audience to take some action? Is it to convince people to support your idea? Once you understand what your objective is, you need to define your central message. There may be a lot of things you want to share with your audience during your presentation, but find – and stick with – the core, the most important point you want them to walk away with. And make sure that your message is clear and compelling.

You also need to tailor your presentation to your audience. Who are they and what might they be expecting? Say you’re giving a product pitch to a client. A technical team may be interested in a lot of nitty-gritty product detail. The business side will no doubt be more interested in what returns they can expect on their investment.

Another consideration is the setting: is this a formal presentation to a large audience with questions reserved for the end, or a presentation in a smaller setting where there’s the possibility for conversation throughout? Is your presentation virtual or in-person? To be delivered individually or as a group? What time of the day will you be speaking? Will there be others speaking before you and might that impact how your message will be received?

Once these fundamentals are established, you’re in building mode. What are the specific points you want to share that will help you best meet your objective and get across your core message? Now figure out how to convey those points in the clearest, most straightforward, and succinct way. This doesn’t mean that your presentation has to be a series of clipped bullet points. No one wants to sit through a presentation in which the presenter reads through what’s on the slide. You can get your points across using stories, fact, diagrams, videos, props, and other types of media.

Visual design matters While you don’t want to clutter up your presentation with too many visual elements that don’t serve your objective and can be distracting, using a variety of visual formats to convey your core message will make your presentation more memorable than slides filled with text. A couple of tips: avoid images that are cliched and overdone. Be careful not to mix up too many different types of images. If you’re using photos, stick with photos. If you’re using drawn images, keep the style consistent. When data are presented, stay consistent with colors and fonts from one type of chart to the next. Keep things clear and simple, using data to support key points without overwhelming your audience with too much information. And don’t assume that your audience is composed of statisticians (unless, of course, it is).

When presenting qualitative data, brief videos provide a way to engage your audience and create emotional connection and impact. Word clouds are another way to get qualitative data across.

Practice makes perfect You’ve pulled together a perfect presentation. But it likely won’t be perfect unless it’s well delivered. So don’t forget to practice your presentation ahead of time. Pro tip: record yourself as you practice out loud. This will force you to think through what you’re going to say for each element of your presentation. And watching your recording will help you identify your mistakes—such as fidgeting, using too many fillers (such as “umm,” or “like”), or speaking too fast.

A key element of your preparation should involve anticipating any technical difficulties. If you’ve embedded videos, make sure they work. If you’re presenting virtually, make sure that the lighting is good, and that your speaker and camera are working. Whether presenting in person or virtually, get there early enough to work out any technical glitches before your presentation is scheduled to begin. Few things are a bigger audience turn-off than sitting there watching the presenter struggle with the delivery mechanisms!

Finally, be kind to yourself. Despite thorough preparation and practice, sometimes, things go wrong, and you need to recover in the moment, adapt, and carry on. It’s unlikely that you’ll have caused any lasting damage and the important thing is to learn from your experience, so your next presentation is stronger.

How are you providing presentation skills training for your learners?

Manika Gandhi is Senior Learning Design Manager at Harvard Business Publishing Corporate Learning. Email her at [email protected] .

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The 30 Best Data Visualizations of 2024 [Examples]

Written by: Anna Glivinska

Data is beautiful; it can inspire, improve lives and bring out the best in people. To keep you inspired, we’ve gathered the best data visualizations of 2024.

The chosen works cover a variety of topics from NASA asteroids in space to environmental issue statistics and futuristic LIDAR data graphs.

With over 4.54 billion people using the Internet in 2020, we’re sure to witness even more amazing data visualizations every year. For now, get ready to dive into 2024’s best data visualization examples. Enjoy your flight of imagination!

• NASA's Eyes on Asteroids is a good data visualization example that provides a great user experience. The design is simple and intuitive, making it easy for users to navigate the site and find what they're looking for.
• The History of Pandemics is an infographic that presents a visual timeline of every known pandemic and includes information on how many people were affected, where it spread and what caused it.
• Void of the Memories is the rarest data visualization on this list. It's a great combination of calligraphy and data visualization that tells the story of human memory and experience.
• The search for dark matter is one of the most important scientific questions in physics today, and this infographic, “The Search for Dark Matter,” serves as a great introduction to the subject.
• Enhance your data storytelling skills and creatively showcase your data by signing up for Visme's data visualization tools .

1 Nasa’s Eyes on Asteroids

Image Source

If you are interested in exploring data visualization topics in space exploration, check out this striking data visualization created by NASA.

NASA's Eyes on Asteroids is one of the best data visualizations due to its exceptional design and functionality. This interactive visualization allows users to explore the asteroid belt and see the real-time positions of asteroids in our solar system.

The design of this visualization is highly engaging and visually stunning, with a sleek and modern interface that is easy to use. The visualization features a 3D solar system model, allowing users to zoom in and out to explore asteroids and other celestial bodies.

One of the key features of NASA's Eyes on Asteroids visualization is its real-time data feed, which provides up-to-date information on the positions and trajectories of asteroids. This feature makes the visualization highly informative and relevant to current events, allowing users to track potentially hazardous asteroids and see their projected paths over time.

Design your own space exploration infographic using Visme. Allowing you to create data visualizations easier and faster.

Get inspired by one of our loyal Visme users, MacKenzie Stonis , Economic Research Analyst at Greater Memphis Chamber, who said:

"I have enough complications in life; I don’t need my report-building tool to add any fuel to the fire,” she laughs.  “I personally had experience with similar applications before Visme and found their tools weren’t as user-friendly as Visme, and their tools didn’t handle data very well. They didn’t provide the solution I really wanted."

2 Selfiecity – The Science of Selfies

Selfiecity is an innovative and engaging data visualization project exploring the selfies world. It uses a variety of visualizations to analyze selfies from five cities around the world.

They collected over 120,000 selfies from the five cities and selected nearly 1,000 photos from each town. After collecting the images, they analyzed various metrics such as demographics, poses, moods and features.

The project then revealed exciting insights into the culture and social behavior of the people who take selfies. For example, the project shows that women take more selfies than men and that people tend to take selfies in public places rather than private spaces.

The study was quite complex and yielded valuable insights, which presented a challenge when it came to sharing the results . However, the team did an excellent job creating visually appealing data visualizations to present the information.

3 The Ancient Seven Wonders of the World

The civil engineering feats of humankind have reached the highest peaks of the mountains and deep into the ocean, and we have built pyramids, temples and statues that are still standing today.

The seven wonders of the ancient world are a collection of man-made structures that are considered to be remarkable feats at the time they were built.

Pranav Gavali, a Data Scientist, created this graphic using data from Encyclopedia Britannica and Wikipedia to visualize the world's seven ancient wonders along with their features and modern-day locations.

The graphic perfectly illustrates how the seven wonders were built and why they are considered a wonder of the world. The Great Pyramid of Giza is the only one of the seven wonders that still stands today.

Design an infographic like this one using Visme’s pre-designed content blocks and infographic templates . Include live data visualizations by connecting to your Google or Excel spreadsheets. When connecting your Visme charts to Excel Online, select full sheets or only a specific range. Plus, when values change in your linked sheet, the chart is This is a prime example of how creative design can bring data to life

4 The World’s Population at 8 Billion

On November 15, 2022, the world’s population reached 8 billion. This is the first time in history that there have been this many people on Earth. And there can't be a more straightforward and visually appealing way to present this data than this visualization.

What makes this big data visualization stand out is its simplicity and effectiveness in conveying the message. Using a circle to represent the earth is a powerful symbol that makes the visualization easy to understand and remember.

By using colors to represent continents and lines to separate countries, the visualization effectively conveys the complexity of the world's population in a simple and visually appealing way.

5 The Top 10 Largest Nuclear Explosions

This is a prime example of how creative design can bring data to life. Beyond the interesting data visualization, it uses a unique approach, similar to an infographic, to showcase the impact and size of the largest nuclear explosions ever detonated.

It features a series of explosion image examples that help visualize each explosion's scale and impact. The use of images effectively conveys the destructive power of each blast in a way that is easy to understand and remember.

The data is presented clearly and concisely, with each explosion listed along with its country of origin.

6 Visualizing the History of Pandemics

This is an informative graphic named Visualizing the History of Pandemics by Nicholas LePan. It tells the story of all the known pandemics in the history of mankind, including the name of the disease, death toll and the approximate date the pandemic occurred.

While the exact number of victims of every disease is still under question, we can still learn from this graphic that super-spreading infections happened across all history of mankind. Statistical data of this infographic shows some diseases scaling with the growth of the population.

Striking 3D illustrations of diseases are combined with the research data from CDC, WHO, BBC, Wikipedia, Historical records, Encyclopedia Britannica and John Hopkins University. The illustrations scale according to the recorded death toll to allow scanning and recognizing data easily. 

7 It Fell From the Sky

Created by a UK-based designer, this infographic highlights beautiful data visualization of 34,000 meteorites that have fallen on the Earth. You will discover the map and timeline of the impacts per year, wrapped up in clean, stylish graphics. The visualization also shows spikes on the records and comparing the size of the biggest meteorites recorded. 

Meteorites hit almost all of Earth’s surface, but some areas seem untouched; this phenomenon could be connected with Earth’s magnetic fields. And who knows –  the future may bring us even more meteorites to explore! 

If you’re a fan of space and astronomy, you can learn more about meteorites from NASA website or check out this database of the Meteoritical Society.

Try Visme, our all-in-one design for creating stunning visualizations on meteorites in space or other research topics you’re working on.

Get the most out of Visme’s seamless integration with Google Sheets to create visualizations of live, easy-to-update data.

Link to your Google Sheets account or import through a link. Select the page and data range and connect them to your Visme chart. When the data changes in the Google Sheet, it automatically applies to the live project. Simply press the refresh button.

Sign up to Visme for free.

8 Mars Mission 2024 Promo Reel

Vivid, rich in details. This 3D graphic uses beautiful data visualizations to share the vision of the future. Space missions and sending people into space are shown in an eye-catching red-grey palette.

The complicated animation of terrain exploration, space module flight and surface graphics are breathtaking. For a moment, you feel like a Mars mission crew member with your eyes on the stars.

9 Void of the Memories

These mesmerizing circles were brought to you by one of the best-in-class street art and calligraphy authors, Pokras Lampas. Whether you would like to decipher this canvas or refer to it as a pure visual object, the unique gothic Calligrafuturism style is an eye magnet for anyone.

The project is focused on the human consciousness and the theme of dreams in the context of human memory and experience. According to the author, the future is for global unity and harmony of cultures – and it’s visible in the fusion of styles, techniques and systems used in the project graphics. 

10 Plastic Waste Pollution 

Based on data on the distribution of total plastic waste generation by continent, Jamie Kettle created this personal project to estimate the percentage of plastic waste that was inadequately disposed of. 

The infographic provides a clear and precise picture of current surface plastic mass by ocean, measuring it in a creative way. We can see plastic waste management for every country in a colored bar chart. The names of the countries that report 100% of all their plastic waste handled properly are highlighted in bold. 

One of the major findings here is that the country's GDP and efficient plastic waste management aren’t always correlated—you can see this by the irregular patterns shown in the infographic.

If you are curious about plastic waste, here are some resources for you: a guide on plastic waste, detailed info on plastic waste pollution from the UN Environment Program and Impacts of Mismanaged Trash by the United States Environmental Protection Agency.

If you’re working on a research topic like waste management, use Visme’s charts and graphs templates to highlight your findings and statistical analysis. Incorporate vertical bar graphs and align the values to the left, right or center to match your overall design.

11 Fossil Fuels

This profound and complex visualization tells us about one of the most pressing environmental issues – the increasing amount of carbon dioxide in the Earth's atmosphere.

While CO 2 buildup is responsible for climate change, the trend is projected to continue, and the infographic provides insight into when this could happen. It’s easy to notice a steady increase in fossil fuel emissions since the Industrial Revolution and the projected sharp rise in the concentration of carbon dioxide until 2100.

Find more data on CO 2 emissions in the Our World in Data research, EPA website and Worldometer stats.

12 Price of a Pandemic: Poverty Spreads Around the Globe

In this classic data visualization by National Geographic, data is placed against the dark background for better contrast and readability. Simple, comprehensive charts show us the effect of the pandemic on the income of people in various countries.

The authors distributed three levels of income range for countries with low and middle class income to provide a clear picture of the current situation. Core findings of the report were that the pandemic pushed a tremendous amount of people to extreme poverty – projected data is 100 million of people living on $1.90 per person/day.

Based on the World Bank data, the infographic provides a wide view of the exact factors influencing people’s wellbeing – from travel restrictions and job loss to wars, displacements and higher food costs. Highlights at the beginning reveal rapid shrinking of income in examined countries across all continents on a mass scale.

13 Water Consumption 

Hidden food production costs involve a great amount of freshwater. This stunning example of visualization created by Chesca Kirkland unfolds a story of water consumption required to produce certain kinds of food. 

From chocolate to cheese, coffee and beer, every product requires a certain amount of freshwater to grow or be produced. The second part of the infographic is centered on the water resources available, including the map of the water footprint per capita per year and general availability of clean water to people. 

Nominated for two C-Change Environmental and Sustainability Awards, the project won First Class Honours in Final Design Futures. Raising awareness about water sustainability is vital as we move forward to a more intelligent, AI-driven future.

We at Visme are inviting you to take up the challenge and create informative infographics that can invite change to various industry branches. Use our amazing free infographic library to create graphics for your personal projects as well as corporate or brand presentations. 

For more detailed info on the infographic creation, watch this video on the 13 major types of infographics .

14 Icebergs and Climate Change

Dedicated to “travel adventures” of this 4,200-square-kilometer iceberg, this infographic alerts people to climate change. A giant chunk of ice the length of Puerto Rico broke off the Antarctic peninsula coast to wander into the wild – and dangerously close to South Georgia Island, packed with wildlife.

The graphic compares the size of the berg with 66 countries or territories and cites that the ice mass is so large that it cannot be captured in one photograph. Besides, we can also see impressive geodata on the wildlife from the IUCN Red List of Threatened Species inhabiting the endangered South Georgia Island.

15  Cell Towers Map of the World

This stunning, elegant and creative visualization of 40 million cell towers is surely an unforgettable view. Based on OpenCelliD, the world's largest open database of cell towers, this interactive map is so far one of the most precise publicly available data sources for telecom-related projects.

We can see how the cell tower network lights up Europe and other big cities of the world; simultaneously, vast areas of “wilderness” are still present on the map. Harsh climate and low population density in the northern regions of Russia and Canada, along with central areas of Africa and Mongolia result in low quantity of cell towers in these areas.

Closeup view of this cell tower map resembles the brain structure. Similar to the neurons, axons and dendrites that create the communication network of the human body – cell towers keep humanity connected.

16  Active Satellites in Space

Created for Scientific American, this colorful and bright data visualization displays satellites in an original way. Neat and stylish satellite cluster grids sort them by country, orbit and class – business/commercial, civil, amateur/academic or defense.

The graphic details the mass of the satellites (100 kgs - 5,000 kgs), category (Test and Training, Communications, Images, Surveillance and Meteorology, Navigation and Research) and the launch date, from Nov 1974 till Aug 2020.

According to the graphic, six countries of the world control the largest amount of the satellites in orbit, and the US owns the largest share so far.

17  Covid Vaccination Tracker

Updated until July 15, 2022, this animated Covid vaccination tracker shows the percentage of people in the world given at least one dose. The infographic and data illustration displays data on the vaccination rollout plan in over 80 countries and 50 US states.

Data presented in this data visualization is sourced from the Our World in Data project at the University of Oxford. Uncluttered, simple graphs show the 7-day Covid vaccination rolling average as well. The interactive charts allow you to sort the percent of population given at least one dose by country or income.

At the bottom of the page we can see the detailed, in-depth Covid-19 vaccination statistics, with type of vaccines offered (Pfizer-BioNTech, Moderna, Sinopharm, CanSino, Oxford-AstraZeneca, Johnson & Johnson, Covishield, Sputnik V, etc.) and vaccination priority groups for various countries separately.

If you’re working on an infographic that includes map data, like this example, try Visme’s map data visualization tool . It comes equipped with a handy hover tooltip that labels country names and square footage. If you don’t need to show this data, you can hide it in the Map settings.

Create demographic visualization easily with Visme’s map templates . If you need to edit your map infographic on the go, you can do so from the mobile app on Android and iOS.

18  Blindsight

It took 4 years to create this non-commercial self-funded project. Based on the eponymous sci-fi novel by Peter Watts, this visualization row includes breathtaking renders of the solar system, four-dimensional objects as a system of data visualization and manipulation, spacesuit interface renders, cryo capsule graphics and nonhuman species concepts.

The visualization received over a dozen awards and nominations such as Best VFX Screen Power Film Festival 2020, Outstanding Achievement Award (Sci-fi Short) Indie Short Fest LA 2020, Winner Best Sound & Music Fantasy/Sci-fi film Festival 2021, Award Winner Flickfair 2020, Official selection Miami International Sci-fi Film Festival 2021 and so on.

Space mysteries have always tempted mankind. With the outstanding talent of the team behind the project, we hope to enjoy the related movie one day.

19  Gravitational Waves

Introducing to you another captivating space-themed project – the interactive visualization of gravitational wave events. Created for Science News, this space-time ripples design is amazingly minimalistic, slick and informative.

This enchanting spiral animation is saturated with useful data about black hole mergers or cosmic smashups. You can learn about the original and final mass of the mergers, total merger size and other details of gravitational wave events. 

20  Map of the Lighthouses of Ireland

Updated my map of the lighthouses of Ireland from the #30DayMapChallenge - now with the correct timings/flash patterns etc. Thanks to @IrishLights for providing additional information pic.twitter.com/eLlicP8fw5 — Neil Southall (@neilcfd1) December 8, 2020

This great animation was created as a part of 30 Day Map Challenge and it depicts all lighthouses in Ireland according to their timing and flash patterns. Here, the author visualizes data from the IrishLights – the maritime organization delivering the safety service around the coast of Ireland. 

Aside from being a vital part of the water safety of coastal waterways, lighthouses are a symbol of hope and undying light even through the toughest circumstances. That’s one of the reasons why this minimalistic graphic is so appealing.

21  Together [Hierarchical Positions of Employees in a Corporation]

Good data visualizations are essential for conveying complex information in an easily understandable way. Look at this creative way of displaying the hierarchical organization structure in a large corporation with a presence in over 100 countries. This creative data visualization example looks fun and a bit otherworldly, with muffled but contrasting colors.

Linking C-level executives to their subordinates in every branch revealed an intricate and complex corporation structure. It’s suggested that in most cases, flat patterns would fail to represent company structures correctly because of the flexibility of human relations.

22  The Search for Dark Matter

The search for the ever elusive and intriguing dark matter continues. The problem isn’t likely to get solved any time soon – but here is a striking infographic for you to follow the lead.

Quanta Magazine created this interesting data visualization to represent the types of particles that dark matter could be made of. Axions, WIMPs, ultralight dark matter or primordial black holes – any of these could be a star candidate. 

Distributing every particle type along the scale according to their mass, the visualization also provides clear, concise descriptions for every type. Additionally, you can dive into the experiments’ data. Are you the one to solve the new puzzle in particle physics?

23  2020 Autonomous Vehicle Technology Report

Concise and lean, this comprehensive report draws focus to autonomous vehicle technology and provides an insight into the hardware & software market for self-driving vehicles. 

The report starts from the visualization explaining levels of autonomous vehicle capabilities in context of the environment. We learn that the greatest challenge for Google (Waymo), Uber and other companies building self-driving vehicles is to enable the vehicle to adjust to all driving scenarios.

Sensory technology is an essential part of autonomous vehicles, and they’re designed to build an environment map and localize themselves inside that map at the same time. This requires huge computational technologies – maps created by AI systems and humans are of great help here.

Further in the report, we see the visualization of the electromagnetic spectrum and its usage for perception sensors, graphics of the time-of-flight (ToF) principle of environment sensing and various object detection sensor types such as radars, cameras, LIDARs, MEMS, etc. The next visualization covers different sets of sensors used for autonomy by Tesla, Volvo-Uber and Waymo. 

Short, clean-cut schemes of the AI architecture of autonomous vehicles, the computation/decision making environment of an autonomous vehicle and the concept of vehicle-to-everything (V2X) communication complete the report.

24  The U.S. Election Twitter Network Graph Tool

These cutting edge visuals from the U.S. Election Twitter Network Graph Tool enables a viewer to analyze social media interactions that define the online political landscape. In this case, we’re tracking the influence and connections between various political figures.

It’s clearly visible which accounts the target account is most likely to mention or reply to. The network graphs clearly show the potential of certain accounts to generate new connections and influence their followers.

You can search for specific nodes in the interactive map. All information flow between nodes is reflected in the color of the node edges. Working together with other open-source investigation tools, this graph is meant to increase transparency and help fight misinformation in social networks.

25  Map of a Fly Brain

The high-resolution nervous system map represented in the above graphic is a part of the fruit-fly’s brain – yet the complexity and harmony of the structure is astounding. 

Millions of connections between 25,000 neurons create a wiring diagram, or connectome, of connections in various parts of a fruit fly’s brain.

It’s estimated that tracking all neuron connections in the fruit fly’s brain manually would need 250 people working for 20 years at least. Google’s computational power has helped to speed up this research, and scientists are aiming to create a full fruit fly brain visualization by 2022.

26  Freight Rail Works

Our next interesting visualization highlights the advanced layers of technology Freight Rail Works uses across its infrastructure. Talented Danil Krivoruchko & Aggressive/Loop teams produced a futuristic and dynamic animation of the data-world around a train in motion.

Magnificent waves of data light up outlines of the objects and then vanish in waves as the train moves forward to the smart city. Graphics of the giant city cluster zoom out to reveal the continent routes and the beauty of a simple railway communications network. 

In the era of semi-autonomous aircrafts and drones, the simple, down-to-earth railway system looks stable but innovative in this graphic.

27  The Korean Clusters

Korean hospitals and churches experienced a burst of Covid infections among their visitors in January 2020. Having linked connections between the confirmed cases, scientists were able to trace back the first case and build a tree of contacts between the affected people.

Tracking the timeline of the first patient’s actions revealed that this person caused thousands of infections. Wandering sick for a few days resulted in over 30 more people infected. Subsequently, the Shincheonji Church cluster with 5,016 infected people accounted for at least 60% of all cases in South Korea at that time.

28  2020’s Biggest Tech Mergers and Acquisitions

Despite the fact that for most businesses 2020 was a devastating year with grim outcomes, this data visualization shows that Big Tech experienced a growth boost. It’s not surprising that people working remotely increasingly need digital services of all kinds.

The graphic shows the biggest tech mergers and acquisitions closed in 2020, together with the short description of the acquired company, acquiring company, deal amount and deal date. While the chart is visually busy, it’s also innovative and visually appealing.

If you need a market report from your industry area, grab the data from Crunchbase and build your own custom branded infographic via our data visualization tool quickly and easily. Sign up free .

29  Stolen Paintings

This wonderful visualization was created for Visual Data, a column on "La Lettura," the cultural supplement of "Corriere Della Sera."

From 1900 to the present day, the infographic reveals the details of 40 stolen paintings. Neutral, minimalistic visuals highlight the painting’s artist, the year when the painting was created and the year of theft. 

It was shocking to find out that the majority of thefts took place during the last 20 years (2000-2020) – and most of the art works have never been recovered.

30  House Of Cards LIDAR

House of Cards from Brendan Dawes on Vimeo .

Take a look at the last cool data visualization in this list – the rework of Radiohead's House of Cards video. This astonishing art was created on the basis of around one minute of the LIDAR data.

Motion graphics of particles scattered around a person’s face create an unforgettable image. The hero of the story in the video is clearly emotional – but we can’t tell anymore whether this person is even human. 

AI generated data can be beautiful, but how can you take control?

Data Visualization FAQs

What is the most popular form of data visualization.

Bar graphs, bar charts or column charts are the most popular type of data visualization.

Bar charts are best for comparing numerical values across categories using rectangles (or bars) of equal width and variable height. You can use bar graphs to compare items between different groups, measure changes over time and identify patterns or trends.

Other popular forms of data visualization include pie charts , line graphs , area charts , histograms , pivot tables, boxplots, scatter plots , radar charts and choropleth maps.

What Are the Benefits of Data Visualization?

Here’s how data visualization helps users to make the most of their data.

• Data visualizations make data clear, concise and easy to understand. Users can easily unlock key values from massive data sets, interpret them and draw conclusions.
• Visualization allows business users to identify relationships, patterns and trends between data, giving it greater meaning. You can easily uncover fresh insights and focus areas that require more attention.
• Creative data visualization is about creating compelling narratives through the use of graphics, diagrams and visual analytics. Visualizing data helps users tell better stories and convey messages in an engaging manner.
• Data visualization can significantly increase the pace of decision-making processes since it makes it simple for us to understand visual data. It’s no surprise, as The Wharton School of Business says that data visualization can cut down on meeting time by up to 24% .

Visualizing data helps quickly spot any errors so they can be removed. If you still doubt the importance of data visualization, this article about 50 data visualization statistics might change your thought process.

What are the Best Practices of Data Visualization?

Below are data visualization best practices to help you present data in an engaging and appealing way.

• Specify the audience and their unique needs. Your data visualization should be crafted to communicate, provide real value and meet the needs of the target audience.
• Define a Clear Purpose. Specify what questions you want your data visualizations to answer or the problems you want them to solve.
• Keep your data clean. Before visualizing your data, make sure to fix or remove incomplete, duplicate, incorrect, corrupted and incorrectly formatted data within your dataset.
• Use the right visuals. With so many charts available, identify the best type for presenting the particular data type you’re working on.
• Keep your data organized. At a glance, your audience should be able to view and digest information quickly.
• Use the right color combination.

Read our article to learn more about data visualization best practices.

Create Your Own Data Visualizations

If you are feeling inspired by these cool data visualizations, use our data visualization software to convert disparate data into clean, comprehensive visuals using the best data visualization techniques . You'll find an extensive library of customizable charts and graphs including bubble charts, bar graphs , line charts , scatter plots, and much more. 

Wondering if Visme's data visualization tools are right for you? Take a look at what one of our satisfied customers, Cassandra C. | Owner, has to say:

“I also appreciate the wide range of features, including charts, graphs, and other visuals that can be used to present data in a clear and concise way. Overall, I'm very happy with Visme and would highly recommend it to anyone looking for a fun, user-friendly tool to create visuals.”

To learn more about creating your own data visualizations, check out our detailed guide on data visualization types and the introduction to data viz on our blog.

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20 Great Examples of PowerPoint Presentation Design [+ Templates]

Published: August 06, 2024

When it comes to PowerPoint presentation design, there's no shortage of avenues you can take.

While all that choice — colors, formats, visuals, fonts — can feel liberating, it‘s important that you’re careful in your selection as not all design combinations add up to success.

In this blog post, I’m sharing some of my favorite PowerPoint tips and templates to help you nail your next presentation.

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Powerpoint design ideas, best powerpoint presentation slides, good examples of powerpoint presentation design.

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In my opinion, a great PowerPoint presentation gets the point across succinctly while using a design that doesn't detract from it.

Here are some of the elements I like to keep in mind when I’m building my own.

1. Minimal Animations and Transitions

Believe it or not, animations and transitions can take away from your PowerPoint presentation. Why? Well, they distract from the content you worked so hard on.

A good PowerPoint presentation keeps the focus on your argument by keeping animations and transitions to a minimum. I suggest using them tastefully and sparingly to emphasize a point or bring attention to a certain part of an image.

2. Cohesive Color Palette

I like to refresh my memory on color theory when creating a new PowerPoint presentation.

A cohesive color palette uses complementary and analogous colors to draw the audience’s attention and help emphasize certain aspects at the right time.

Image source

Mesmerize your audience by adding some neon colors and effects to your PowerPoint slides. Adding pops of color to your presentation will create visual interest and keep your audience engaged. 

What I like: Neon will add personality and depth to your presentation and will help the information you're providing stand out and be more memorable. 

2. Use an interesting background image.

Do you have some interesting nature photos from a recent road trip? Or maybe a holiday passed, and you have gorgeous photos to share? If so, consider incorporating them into your PowerPoint. 

What I like: PowerPoints don't have to be stuffy and boring. They can be fun and a unique or interesting background will enhance the experience of your presentation.

3. Or be minimal.

Have you ever heard of K.I.S.S.? Not the band! I mean, Keep It Simple, Sweetheart. If you're worried too many colors or visuals could take attention away from the message of your presentation, consider going minimal. 

Pro tip: Stick to no more than three colors if you're going for a minimalist design in your slides. 

4. Incorporate illustrations.

Illustrations are a great way to highlight or break down a point in your presentation. They can also add a bit of whimsy and fun to keep viewers engaged.

5. Use all caps.

Using all capital letters can draw your audience's eyes to where you need them, helping cement your message in their minds. It can also just be aesthetically pleasing.

Pro tip: If you choose to use all capital letters, use varying fonts so readers can tell which information is important and which are supporting details.

6. Alternate slide layouts

You don't want readers to grow bored with your presentation. So, to retain visual interest, use alternating slide layouts. The example above shows PowerPoint slides alternating between vertical and horizontal layouts.

This keeps things interesting and ensures your presentation isn't monotonous.  

7. Inject a little humor.

Humor is a great way to drive a point home and help people remember the information you're presenting. People remember a good joke, so if you have a funny pun to connect to a concept in a presentation, why not use it in a slide?

Pro tip: Remember you're in a professional setting, so keep your jokes appropriate. If you're worried a joke can get you a meeting with HR, then keep it to yourself. 

8. Use duotones.

Duotones (or gradience) can take the aesthetic of your PowerPoint to new levels. They can provide a calming energy to your presentation and make viewers feel relaxed and eager to stay focused. 

9. Include printed materials.

Let's say you have a PowerPoint you're proud of, but you want to go that extra mile to ensure your audience understands the material. A great way to do this would be to supplement your presentation with printed materials, as such as:

• Pamphlets 
• Printed slides
• Short quizzes on the material

10. Keep it to one chart or graph per slide.

This is both a design example and a warning. Graphs and charts are an excellent way of displaying quantitative data in a digestible format.

However, you should have no more than one graph or chart per slide so your presentation doesn't get too confusing or muddled. 

11. Use a large font.

Just like capital letters, a large font will help your shift your audience's focus to key points in your presentation.

Pro tip: You can combine large fonts and capital letters to boost its effectiveness. 

12. Include videos.

Embedding a video into your PowerPoint can help you expand on a point or effectively break down a complex topic. You can either embed a video from a platform like YouTube or TikTok or use HubSpot's Clip Creator to make your own.

Pro tip: Try to keep videos short, like, under a minute, and don't use more than one or two. 

13. Use GIFs.

GIFs add more visual interest, and they can be a great way to add humor or personal touch to your PowerPoint presentation.

14. Use contrasting colors when comparing two ideas or arguments. 

Contrasting colors can convey the difference between two opposing thoughts or arguments in a way that is visually appealing. 

15. Add a touch of nature.

If you want your presentation to exude a calming energy to your audience, including images of trees, flowers, and natural landscapes can do the trick.

PowerPoint Theme Ideas

Atlas (theme).

Covering a more creative subject for a younger or more energetic audience? I’d recommend using the cover slide design below. Its vibrant red color blocks and fun lines will appeal to your audience.

This simplistic presentation example employs several different colors and font weights, but instead of coming off as disconnected, the varied colors work with one another to create contrast and call out specific concepts.

What I like: The big, bold numbers help set the reader's expectations, as they clearly signify how far along the viewer is in the list of tips.

10. “Pixar's 22 Rules to Phenomenal Storytelling,” Gavin McMahon

This presentation by Gavin McMahon features color in all the right places. While each of the background images boasts a bright, spotlight-like design, all the characters are intentionally blacked out.

What I like: This helps keep the focus on the tips, while still incorporating visuals. Not to mention, it's still easy for me to identify each character without the details. (I found you on slide eight, Nemo.)

11. “Facebook Engagement and Activity Report,” We Are Social

Here's another great example of data visualization in the wild.

What I like: Rather than displaying numbers and statistics straight up, this presentation calls upon interesting, colorful graphs, and charts to present the information in a way that just makes sense.

12. “The GaryVee Content Model,” Gary Vaynerchuk

This wouldn‘t be a true Gary Vaynerchuk presentation if it wasn’t a little loud, am I right?

What I like: Aside from the fact that I love the eye-catching, bright yellow background, Vaynerchuk does a great job of incorporating screenshots on each slide to create a visual tutorial that coincides with the tips. He also does a great job including a visual table of contents that shows your progress as you go .

13. “20 Tweetable Quotes to Inspire Marketing & Design Creative Genius,” IMPACT Branding & Design

We‘ve all seen our fair share of quote-chronicling presentations but that isn’t to say they were all done well. Often the background images are poor quality, the text is too small, or there isn't enough contrast.

Well, this professional presentation from IMPACT Branding & Design suffers from none of said challenges.

What I like: The colorful filters over each background image create just enough contrast for the quotes to stand out.

14. “The Great State of Design,” Stacy Kvernmo

This presentation offers up a lot of information in a way that doesn't feel overwhelming.

What I like: The contrasting colors create visual interest and “pop,” and the comic images (slides 6 through 12) are used to make the information seem less buttoned-up and overwhelming.

15. “Clickbait: A Guide To Writing Un-Ignorable Headlines,” Ethos3

Not going to lie, it was the title that convinced me to click through to this presentation but the awesome design kept me there once I arrived.

What I like: This simple design adheres to a consistent color pattern and leverages bullet points and varied fonts to break up the text nicely.

16. “Digital Transformation in 50 Soundbites,” Julie Dodd

This design highlights a great alternative to the “text-over-image” display we've grown used to seeing.

What I like: By leveraging a split-screen approach to each presentation slide, Julie Dodd was able to serve up a clean, legible quote without sacrificing the power of a strong visual.

17. “Fix Your Really Bad PowerPoint,” Slide Comet

When you‘re creating a PowerPoint about how everyone’s PowerPoints stink, yours had better be terrific. The one above, based on the ebook by Seth Godin, keeps it simple without boring its audience.

What I like: Its clever combinations of fonts, together with consistent color across each slide, ensure you're neither overwhelmed nor unengaged.

18. “How Google Works,” Eric Schmidt

Simple, clever doodles tell the story of Google in a fun and creative way. This presentation reads almost like a storybook, making it easy to move from one slide to the next.

What I like: This uncluttered approach provides viewers with an easy-to-understand explanation of a complicated topic.

19. “What Really Differentiates the Best Content Marketers From The Rest,” Ross Simmonds

Let‘s be honest: These graphics are hard not to love. I especially appreciate the author’s cartoonified self-portrait that closes out the presentation. Well played, Ross Simmonds.

What I like: Rather than employing the same old stock photos, this unique design serves as a refreshing way to present information that's both valuable and fun.

20. “Be A Great Product Leader,” Adam Nash

This presentation by Adam Nash immediately draws attention by putting the company's logo first — a great move if your company is well known.

What I like: He uses popular images, such as ones of Megatron and Pinocchio, to drive his points home. In the same way, you can take advantage of popular images and media to keep your audience engaged.

And if you want more templates and examples, you can download them here .

PowerPoint Presentation Examples for the Best Slide Presentation

Mastering a PowerPoint presentation begins with the design itself.

Get inspired by my ideas above to create a presentation that engages your audience, builds upon your point, and helps you generate leads for your brand.

Editor's note: This post was originally published in March 2013 and has been updated for comprehensiveness. This article was written by a human, but our team uses AI in our editorial process. Check out our full disclosure to learn more about how we use AI.

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3 Powerful Data Presentations That Inspired Genuine Change

A picture, they say, is worth a thousand words. And certainly, most of us routinely choose to present business data in chart form, tapping into Microsoft Excel’s rich library of chart types and graphing tools. More than ever, clever infographics and incisive data presentations are driving crucial business decisions.

But as we prepare our charts for the next sales meeting or strategic review, it’s worth tipping the hat to past pioneers of data presentations—pioneers whose inspiration and genius laid the framework for the infographics, charts and data presentations that we all rely on today.

How You Should Explain Big Data to Your CEO [SlideShare]

Data mining interview: eric siegel, could business computing be done by users without technical experience, the im strategy stack.

And more than that, some of those past data presentations were powerful enough to inspire real change, as well—changes significant enough to change the course of history.

Which is a sobering thought, as we quickly fire up Excel to produce our usual run-of-the-mill bar charts.

Powerful data presentations – William Playfair

Born in 1759, Scottish engineer and political economist led an eventful life, including taking part in the storming of the Bastille during the French Revolution. Beginning his career as a draughtsman and personal assistant to the James Watt, the inventor of the steam engine, he spent time in France and Germany working as a writer and pamphleteer.

For almost 40 years, his publications contained statistical charts that had never before been seen—data presentations involving bar charts, pie charts, and line graphs.

Sadly, his innovations in data presentation were received with some indifference, and it was almost a century later before accepted statistical wisdom caught up with Playfair’s pioneering work.

But his Commercial and Political Atlas, published in 1786, was indisputably the first major work of any kind to contain statistical graphs, and serves as a lasting memorial to a data presentation pioneer born before his time.

Powerful data presentations – Florence Nightingale

The popular image of Florence Nightingale is as a nurse during the Crimean War. In fact, she was better known in her time as a medical reformer and campaigner, producing a number of reports and treatises.

Her ‘coxcomb’ and ‘bat wing’ diagrams—similar to today’s spider diagrams and radar charts—powerfully made the case for better public health, in particular among the soldiers of the British Army.

Contrary to popular opinion, observed Nightingale as she researched the subject, the vast majority of soldiers did not die from wounds received in battle. The result? Major military healthcare initiatives, focused—literally—on keeping fighting men, fighting fit.

Powerful data presentations – Charles Minard

It’s been called probably ‘the best statistical graphic ever drawn’. Charles Minard’s infographic of Napoleon’s disastrous march to—and retreat from—Moscow cast in cold relief the enormous losses suffered by the French Army in 1812.

Showing both the initial march (the brown-yellow band in the diagram), and the subsequent retreat (the black band), the width of the band represents the number of surviving soldiers.

In all, some six variables are shown, across two dimensions: the number of Napoleon’s troops; the distance travelled; temperature; latitude and longitude; direction of travel; and location relative to specific dates.

Drawn in 1869, it once again turned conventional wisdom on its head: the Army’s greatest losses weren’t incurred on the retreat from Moscow, but the initial march to it. Valuable lessons as to the importance of military logistics and military supply chains had been learned.

And even to this day, powerful data presentations rarely come more compelling.

Powerful data presentations – your move.

Any modern reporting tool—and remember, Excel is primarily a spreadsheet tool, not a reporting tool—contains a rich source of charting and data presentation templates.

So don’t feel restricted to just the usual run-of-the-mill bar charts and pie charts invented by William Playfair over two hundred years ago. Try something different.

And who knows? Maybe your data presentations, too, will inspire genuine change.

Download our free eBook to find out how you can create powerful data presentations in your business. 

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Powerful Presentations

Offered live november 4 - 7, 2024, there's no one-size-fits-all approach to data visualization..

Graphs are supposed to be formatted differently for reports, one-pagers, dashboards, and presentations. Here's what my old presentations looked like: tiny text, mismatched images, and disorganized content. Yikes...

Transform into a Powerful Presenter

Over the past decade, I've delivered hundreds of presentations for thousands of people in 30+ states and a dozen countries. Ask me anything about:

• speaking at conferences,
• developing multi-day workshops,
• delivering keynote speeches,
• being interviewed on podcasts, and
• presenting virtually over Zoom, YouTube, or through online courses.

What's Included

I'm going to transform you into the powerful presenter that your organization needs. Here's what's included to make that happen.

• Live course . We'll meet live over Zoom on November 4-7, 2024, from 1-4:30 pm Eastern each day. That's a 2-day course, but delivered in half-day chunks.
• Step-by-step process to deliver data-driven presentations that engage audiences.
• Office Hours sessions throughout 2024 and 2025.
• Powerful Presentations ebook with our checklists and case studies.
• Private Data Vizards community of fellow participants.
• Captions on all videos.
• Certificates of Completion to help build your resume.
• Lifetime access so you don't feel rushed.
• Examples from a variety of industries (public health, juvenile justice, museums, and more).
• Case studies from your colleagues on analyzing grantmaking data, building dashboards, and adding accessible graphs to slideshows.
• Guest speakers who specialize in PowerPoint, public speaking, and more.
• Behind-the-scenes PowerPoint magic tricks guaranteed to make your jaw drop.
• Bonus mini course, Course Creation , on designing, recording, and selling online courses.

Course Dates

By popular demand, this course is being delivered live (!).

Here's our schedule:

• Monday, November 4, 2024 from 1 - 4:30 pm Eastern
• Tuesday, November 5, 2024 from 1 - 4:30 pm Eastern
• Wednesday, November 6, 2024 from 1 - 4:30 pm Eastern
• Thursday, November 7, 2024 from 1 - 4:30 pm Eastern

I'll demonstrate a skill, and then you'll immediately practice it and ask questions as you get stuck. I'll demo, you'll practice. And so on.

We'll have 10-minute breaks every hour (i.e., learn from 1-1:50, then break from 1:50-2).

The last 30 minutes of each class is additional Q&A time (i.e., learn from 1 - 4, then Q&A from 4 - 4:30).

Here's a bird's-eye view of what you'll learn.

Module 1: Slidedocs vs. Slidedecks

In the first module, you'll master critical presentation lingo: differentiating between slidedocs (standalone documents) and slidedecks (presentation slides).

Sample activities:

• Slidedocs vs. Slidedecks : Post a screenshot of a recent slide that you made. Is your example currently more of a slidedoc or a slidedeck? Which one should it be?
• Slidedocs : Transform one of your slides into a slidedoc . Follow the 5 characteristics. Post before/after screenshots and describe your changes.
• Slidedecks : Transform one of your slides into a slidedeck . Follow the 5 characteristics. Post before/after screenshots and describe your changes.

Module 2: Message

In Message , you'll practice my top eight techniques for crafting a message that's tailored to your audience, like bucketizing your findings, writing the takeaway tweet in advance, incorporating action-oriented activities, and designing a visual framework.

• Brainstorm and Bucketize: Brainstorm a long list of everything that might go into your presentation. What are the 3-5 buckets for your presentation?
• Create a Visual Framework: What type of framework fits your topic the best? (Step-by-step process? Pyramid? Cycle?) Comment and reflect on your thought process. Create a visual framework using shapes, SmartArt, or Diagrammer. Post a screenshot here and comment about your thought process. Use your visual framework to (1) Provide an overview, (2) Introduce buckets, (3) Reinforce buckets with mini frameworks, and (4) Establish consistency across the slidedoc.
• Open with Intention: Share a draft of your opening story. Post a screenshot of your presentation agenda.
• Plan the Activities and Call-to-Action Closing: Share an example of an activity you’ve used. Comment and provide context: How long was your presentation? When did the activity take place? How did it go?
• Decide How the Audience Should Feel: Plan in advance: I want my audience to feel _____. I want my audience to think _____. I want my audience to do _____.
• Write the Takeaway Tweet in Advance: What’s the takeaway tweet for one of your upcoming presentations?
• Collect & Use Audience Feedback: What are the most useful feedback questions you’ve encountered? How have you used that feedback to improve future presentations?
• Kill Your Darlings: Go through your outline or existing slides. Decide what to keep. Comment about your decision-making process.

Module 3: Design

In Design , you'll apply your brand colors, fonts, photographs, and icons; you'll create color-coded divider slides; and follow my checklist of 15+ Ideas for visuals to ensure that every slide has a powerful visual.

• Brand with Colors, Fonts, Photos, and Icons : You'll locate your organization's existing style guide and presentation templates, or begin making some of your own.
• Match the Aspect Ratio to the Screen/Page: Time permitting: Match the aspect ratio to the screen or page. Time crunched: Just use widescreen for everything. Post a screenshot here.
• Match the Background Color to the Room Lighting: Time permitting: Match the background color to the room lighting. Time crunched: Just use dark text against a white background for everything. Post a screenshot here.
• Create Color-Coded Divider Slides: Create one of the four types of Divider Slides. Post a screenshot here.
• Set Up the Slide Master: Tweak your organization’s existing Slide Master. Or, create your own Slide Master to save time. Post a screenshot here.
• Aim for 1+ Visual Per Slide: Open a recent slidedeck. How many slides had visuals? Post your numbers here (e.g., 3 of 8 slides had visuals).
• 15 Ideas for Body Slides: Open a recent slidedeck. How many different types of visuals did you use? My challenge for you: Double that number in your next slideshow!
• Bullet Points into Graphs and Photos: Open a text-heavy slide. Add one of the visuals from the checklist.

Module 4: Storyboarding

Finally, you'll storyboard your graphs--which means explaining your complicated datasets one piece at a time.

Module 5: Public Speaking & Tech Tips

You'll fine-tune 10 aspects of public speaking, like:

• using microphones for in-person and virtual talks--or not;
• making "eye contact" with the webcam;
• adjusting the lighting on stage and in virtual talks (so we don't have to worry about our appearance);
• using our hands to help explain the patterns in our data;
• avoiding scripts (so we don't sound robotic) and what to do instead; and
• my go-to technique for removing filler words ( like, um, so ).

You'll also get a behind-the-scenes tour of my home recording studio.

Module 6: Case Studies

4 lessons, 3 hr 36 min

Want ideas for applying these techniques to your own projects? You'll get to see case studies from previous course participants.

Office Hours

Want me to review your draft slides? Have a how-to tech question? Submit your drafts, screenshots, and questions to Office Hours. You'll be invited to all the live Office Hours scheduled for 2024 and 2025! That's 25+ live sessions each year.

Sample topics addressed during Office Hours:

• "How would you transform this dense table--3 years' of data for a dozen different types of cars--into a graph or two for a slideshow?"
• "I'm interested to know your process for transferring a chart from Excel into PowerPoint or Word. Everything I have tried results in a blurry image."
• "For someone that is starting in data viz in Evaluation (as in, has less than a year in) and hopes to be self-employed really really really bad, do you think hiring a business coach is a good idea to start? How did know you had enough data viz experience in order to be self-employed?"
• "How do you make bump charts in Excel?"

Additional Support

Guest Speakers

You'll hear from three previous guest speakers: speaking coach Heather Sager, evaluator and All-American debater Isaac Castillo, and PowerPoint MVP Dave Paradi.

You'll get a license for our 80-page ebook, which includes all of our presentations checklists and cheat sheets.

Captions on All Videos

After each of the live classes, we add auto-generated captions to the videos and upload them to the course website.

Data Vizards Community

This is a great place to connect with colleagues, post drafts, and get feedback from each other.

Bonus! Mini Course

Course Creation

You'll also get access to a bonus mini course on planning for, recording, and selling online courses. And, you'll get access to launch debriefs where I share the numbers behind my own courses.

Course Creation is normally $297/participant, but it's included in the 2024 Powerful Presentations registration as a special gift for people who are curious about teaching online.

What Participants Are Saying

9,300+ participants from around the globe have already taken the leap into better reports, slideshows, dashboards, and infographics by participating in our online courses.

Here's how those researchers, evaluators, professors, and scientists are describing this course.

"I’ve just finished the Powerful Presentations course, and not only have my presentation skills and setup improved, but so have my slides. There are so many great tips and tricks I could highlight, but I will keep it to my three favorites: color coding, increasing readability, and storyboarding.

The best part is, they don’t take that much extra time! These are simple changes that take your slidedecks to a new level and allow you to really impress your audience.”

- Kelsey Waterson , Evaluator , Centerstone Research Institute

"A client asked me to report the results at their meeting and I used so many of your suggestions in the slidedeck, it was the most impressive PowerPoint I have ever made. But as the meeting progressed, they were running out of time, [but] luckily, I had also created a slidedoc and was able to share that document. I have never been so grateful that I had signed up for your class!"

- Kristin Wright

"I registered for the course because although I have advanced graphic design skills, I still thought I could make more effective presentations by working through the course’s sequential lessons of message, design and delivery. The course was great!"

- Elizabeth Dove , Professor, University of Montana

About the Instructor

Your Instructor

Ann K. Emery is an internationally-acclaimed speaker who equips organizations to get their data out of dusty spreadsheets and into real-world conversations.

Each year, she delivers over 100 keynotes, workshops, and webinars with the aim of equipping organizations to visualize data more effectively.

She has been invited to speak in 30 states and 11 countries; 9,000 people have enrolled in her online training academy; and she has consulted to 200 organizations, including the United Nations, Centers for Disease Control, and Harvard University.

She earned a Bachelor’s degree from the University of Virginia and a Master’s degree from George Mason University.

After traveling full-time as a digital nomad, Ann now resides in Florida along with her husband and five children.

Frequently Asked Questions

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19 powerful presentation stats to transform talks in 2019

Alexa Harrison

Here is a list of some of the most important presentation stats we could find: what is working, what is trending, and what people struggle with when it comes to giving successful talks.

Some of these numbers come from brand new research, and others are tried and true classics. But one thing is certain: All are important to keep in mind when preparing presentations in the year to come.

A good story will capture and hold attention

90% of people believe that a strong narrative in a presentation is critical for engagement.

Compelling data and facts can help you illustrate your points. But if you want to make people feel engaged when you present, you need to incorporate a story . Stories draw people in to a talk and keep them rapt, so you can ensure no one tunes you out while you deliver your important ideas.

55% of people say a great story is primarily what holds their focus during a presentation.

Appeal to what the majority of people need in order to focus on a talk, and incorporate a narrative. A great story is key for keeping people rapt during a presentation and moving them through it start to finish. To craft a story that works for your presentation, rely on a tried-and-true hero story structure . Place your audience as the hero at the center of the story, then show how your ideas can guide them from a less-than-optimal present to an improved future. A hero story works for holding attention because it builds suspense and offers a satisfying resolution.

46% of presenters feel that the hardest part of creating a successful presentation is crafting a compelling story .

Storytelling is important in presentations—but it’s also difficult. Many presenters find it hard to come up with a narrative that works both for their data and for their audience. To find the right story for your presentation, try finding common ground with your audience. You can do this by using our Audience Needs Map ™. Once you really get who your listeners are, you can write a narrative that really appeals to what your listeners want, feel afraid of, dream about, and more. You can also write a compelling story by contrasting “what is” (the present) vs. “what could be” (the future if listeners choose to adopt your ideas).

35% of millennials say they will only engage with content they feel has a great story or theme.

More and more millennials are taking over the workforce. Make sure you appeal to this ever-expanding powerful demographic by focusing on narrative as you craft your talk. As Gen Xers retire and millennials take over, it’s important to craft your persuasive content to appeal to their values.

Interactive content stands out from the masses and truly engages

Experts estimate that 30 million PowerPoint® presentations are created every day.

There are A LOT of PowerPoint presentations written and delivered in the workplace every single day. And, experts believe that the number will continue to grow. So, if you want to make your presentation stand out from the rest, you have to focus on creating a well-designed, visually-pleasing presentation filled with convincing data and a narrative structure that resonates. Overlooking any one of these critical components can mean that your talk will get lost in the sea of all of the other mediocre presentations being given.

4 out of 5 professionals said they shifted their focus away from the presenter during the last presentation they attended.

Keeping people’s attention for the duration of a presentation is tough. Consider using specific presentation techniques to boost engagement. Some of the most reliable include: finding common ground with listeners, interacting directly with your audience, using stunning, eye-catching visual aids, and making sure that you work on your delivery skills .

70% of marketers believe that presenting interactive content is key for engaging your audience.

If you want to be better at engaging your audience and making sure they do not disengage as you talk, interact with them directly. During your presentation, encourage direct interaction by doing things like answering audience questions, polling listeners about various topics, asking for feedback, and encouraging social media posts (etc., etc.).

64% of people believe that a flexible presentation with two-way interaction is more engaging than a linear presentation.

Rather than simply delivering a linear presentation, interact with your audience . They will feel more involved in what’s happening and be less likely to tune you out.

68% of people believe that interactive presentations are more memorable .

If you want your listeners to leave remembering the Big Idea™ or main message of your presentation, make sure you engage directly with them. Personal interaction with the presenter makes people more likely to remember the ideas you are trying to impart.

65% of people are more easily persuaded by presentations that incorporate two-way interaction.

Not only will people remember your ideas if you interact with them, but they’ll also be more likely to adopt them. Audience interaction can be key for talks that effectively work to persuade.

2 million events and meetings are expected to utilize live polling and Q&A apps by 2020.

More and more events, conferences, and meetings now incorporate technology that facilitate active participation for attendees. During your talk, consider using apps for live polling or question-and-answer sessions so that your audience members feel more engaged in the experience.

Shorter, highly-visual talks, with clear messages change lives

Presentations with visual aids are 43% more persuasive than the same presentations without visuals.

When you give a presentation, it is important to accompany that presentation with a visual aid to illustrate the important points in your talk. Using a visual aid helps appeal to visual learners and improves people’s ability to recall the information you share. Visual aids can be projected, like Powerpoint presentations, or they can be printed and distributed beforehand, like Slidedocs® .

84.3% of presenters said they crafted presentation slides that were highly-visually focused .

If you design a presentation that incorporates a slideshow, make sure that slideshow is more focused on visuals than text. More presenters than ever are using visually-pleasing images to complement the content they deliver and eschewing slides that are over-filled with data or written words.

54.9% of people say that less than 25% of their presentations contain text.

Having too much text on your presentation slides makes it hard for your audience members to digest what they see, and it distracts them from what you are saying. Stick to images and illustrations in your slideshow to help highlight and elucidate your message without muddling it.

Audience members should be able to take in your slide and its meaning within 3 seconds .

Every slide in your presentation should pass the Glance Test ™ — that is, audience members should be able to look at a slide and understand what it means within 3 seconds.

Only include 1 idea per slide to make sure your presentation is comprehensible to audience members.

Because all slides must pass The Glance Test, it is an essential rule of all presentations to only include 1 idea per slide . By only including 1 idea per each individual slide, you keep all of your information organized for listeners and deliver it to them in digestible-sized chunks they can take in with a glance.

Even more specifically, include only 1 statistic per slide in order to make an impact with your data .

You should only include 1 idea per slide in your presentation. But, you should also be sure to only include one number or statistic per slide. When you only use one number per slide, that number stands out, and you can use it make a powerful impact.

Shorter presentations are more effective than longer ones; poor performing investment presentations were 12 pages longer than ones that performed well.

A recent study showed that presentations asking for investments were more successful if they were short. The longer the presentation, the less likely it was to receive funds. Keep this in mind as you design your presentation. Brief, succinct talks and slideshows help ensure that listeners stay engaged, understand your information, and do not succumb to boredom as they sit through your talk.

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Overcome bad habits, conquer fears, and increase your confidence in any speaking setting. Discover your strengths and build on them to improve your delivery.

Personalized help for speakers

Up-level your speaking skills with one-on-one support. We’ll help you rehearse your talk, polish your presence, and transform your message delivery.

Presentation Principles™

Learn presentation basics

Follow a step-by-step method to write compelling stories, amplify ideas visually, and present with confidence while learning at your own pace.

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Big stage moments take lots of prep to be successful. Whether you have a TED Talk, an investor meeting, or a board room presentation, use these tips to prepare to be stage-ready.

The secret to unforgettable events and memorable speeches

Need to guarantee your next event is unforgettable? Read on about S.T.A.R. Moments™, why they work, and the types you can use so that your next high-stakes moment is a standout success.

Remembering the Challenger: One of history’s greatest speeches

He’s known as The Great Communicator for a reason. Learn what made Reagan’s Challenger speech a famous one, and what lessons you can learn from it.

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Why wait until they’re adults? Get 6 tips on public speaking tips kids and teens to own their classroom presentations now and often!

11 audience engagement strategies for all presentations

Need help keeping your audience engaged? It could be your presentation structure, delivery, or both! Dive into these strategies to keep your audience engaged the entire time you take the stage.