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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

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

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

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

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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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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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Home Blog Design Understanding Data Presentations (Guide + Examples)

Understanding Data Presentations (Guide + Examples)

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

Table of Contents

What is a Data Presentation?

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

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

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

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

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

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

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

Real-Life Application of Bar Charts

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

Step 1: Selecting Data

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

The sales manager has highlighted these products for the presentation.

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

Step 2: Choosing Orientation

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

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

Step 3: Colorful Insights

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

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

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

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

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

Real-life Application of Line Graphs

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

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

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

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

Step 3: Connecting Trends

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

Step 4: Adding Clarity with Color

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

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

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

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

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

Real-Life Application of a Dashboard

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

Step 1: Defining Key Metrics

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

Step 2: Choosing Visualization Widgets

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

Step 3: Dashboard Layout

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

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

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

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

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

Real-Life Application of a Treemap Chart

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

Step 1: Define Your Data Hierarchy

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

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

Step 2: Choose a Suitable Tool

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

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

Step 3: Make a Treemap Chart with PowerPoint

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

Step 5: Input Your Data

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

Step 6: Customize the Treemap

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

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

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

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

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

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

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

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

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

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

Real-Life Application of Pie Charts

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

Step 1: Define Your Data Structure

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

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

Step 2: Insert a Pie Chart

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

For instance:

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

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

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

Step 03: Results Interpretation

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

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

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

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

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

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

Real-Life Application of a Histogram

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

Step 1: Gather Data

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

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

Step 2: Define Bins

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

Step 3: Count Frequency

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

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

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

Step 4: Create the Histogram

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

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

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

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

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

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

Real-Life Application of Scatter Plot

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

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

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

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

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

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

1. Fact Sheet Dashboard for Data Presentation

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

Use This Template

2. 3D Column Chart Infographic PPT Template

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

3. Data Circles Infographic PowerPoint Template

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

4. Colorful Metrics Dashboard for Data Presentation

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

5. Animated Data Presentation Tools for PowerPoint & Google Slides

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

6. Statistics Waffle Charts PPT Template for Data Presentations

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

7. Data Presentation Dashboard Template for Google Slides

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

8. Weather Dashboard for Data Presentation

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

9. Social Media Marketing Dashboard Data Presentation Template

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

10. Project Management Summary Dashboard Template

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

11. Profit & Loss Dashboard for PowerPoint and Google Slides

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

Overwhelming visuals

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

Inappropriate chart types

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

Lack of context

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

Inconsistency in design

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

Failure to provide details

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

Lack of focus

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

Visual accessibility issues

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

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

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

Click to jump ahead:

10 Essential data presentation examples + methods you should know

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

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

1. Bar graph

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

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

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

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

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

2. Line graph

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

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

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

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

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

3. Pie chart

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

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

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

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

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

4. Scatter plot

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

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

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

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

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

5. Histogram

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

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

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

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

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

6. Stacked bar chart

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

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

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

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

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

7. Area chart

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

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

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

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

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

8. Tabular presentation

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

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

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

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

9. Textual data

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

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

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

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

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

10. Pictogram

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

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

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

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

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

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

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

1. Title and objective

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

2. Key data points

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

3. Context and significance

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

4. Key takeaways

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

5. Visuals and charts

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

6. Implications or actions

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

7. Q&A and discussion

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

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

Overloading with data

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

Assuming everyone’s on the same page

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

Misleading visuals

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

Not providing context

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

Not citing sources properly

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

Not telling a story

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

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

Ignoring data quality

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

Simplify your visuals

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

Missing the emotional connection

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

Skipping the actionable insights

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

Can you provide some data presentation examples for business reports?

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

What are some creative data presentation examples for academic presentations?

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

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

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

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

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

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

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

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

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

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

What is the difference between data visualization and data presentation?

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

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

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

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

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

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• Presentations

How to Present Data & Numbers in Presentations (Like a Pro)

Data is more important than ever. But do you know how to present data? Your audience needs information in a way that's easy-to-follow. With charts and graphs, data comes to life.

In this tutorial, you'll learn how to present data. The intuitive presentation of data and information is essential so that your point comes across. With our tips, we'll help you take flat data tables and convert them to useful and explanatory charts.

Why Present Data and Numbers With Charts?

Often, you’ll find yourself presenting data in PowerPoint. It’s a useful tool to illustrate data and bring numbers to life. But if you go about it the wrong way, you’ll distract and confuse your audience. Remember, the goal of sharing data is to deliver insights.

When you think of how to present data, you've got several options. Words alone should be an automatic no-no. Clustering numerical data in text paragraphs will confuse an audience. Similarly, tables don’t go far enough.

Consider the example below. While this approach may work for a simple dataset, it’s hard to capture value insights at a glance. Keep in mind, you want a viewer to quickly grasp the fundamental meaning of the data instantly.

That’s why your best option is to present data and numbers with charts. These are two related ways to present data that take a truly visual approach. Charts and graphs are forms of infographics. An infographic is a visual illustration meant to show ideas. They look great, they're easy to read, and they work.

Recent research vividly shows their effectiveness. Infographics are read at a rate of 30:1 over text articles. Pair this with the fact that visual information represents 90% of what transmits to a reader’s brain . Clearly, these are tools to keep in your wheelhouse.

As you can see below, the table data above transforms from a complex table to a clear and concise visual. It’s the identical range of data! The magic happens in the display of it. Charts are the key to success in the presentation of data and information.

How to Present Data and Numbers in Presentations

We’ve learned that the best way to present data is with charts. Now that you’re armed with this knowledge, you've got many options to choose from.

Premium PowerPoint data presentation templates are your best friend. These take the hard work out of building and sharing data charts. They teach you how to present data in presentations with pre-built options. All you need is your dataset!

For our walkthrough tutorial, we’ll use the Chart Presentation template from Envato Elements. It’s a premium option with 24 custom slide designs inside. Each is easy to customize to meet your data presentation needs.

With the template downloaded and opened in PowerPoint, let’s get to work learning how to present data. Follow the principles below, and you’ll be ready to get started!

1. Assess Your Data

Charts come in all shapes and sizes. There are pie charts, column charts, line charts, and many more. All have many uses, but each is targeted towards different types of data. First, you’ll want to assess the data that you have, and how it would best be presented visually. Let’s work with a sample dataset like the one below.

As you can see, the data has several rows, each representing a different country. Beside these are three columns, each covering sales for a given year. In short, you’re looking at three years of sales forecasts for five countries.

Reading over the data, it’s tough to instantly gain any insights. Sure, if you look long enough, trends start to emerge. But this is a slow, manual process. And imagine if there were fifty countries and twelve years, for example!

Manual analysis would become nearly impossible in a presentation setting. But by using a chart, you can instantly illustrate trends and forecasts. Any viewer – even an untrained eye – can readily see all key points with a moment’s glance.

2. Choose a Visual

Now that you’ve analyzed your data, you can easily see that a chart is essential. But what kind? We briefly mentioned three styles of charts. When you think of how to present data in presentation form, the trick is to choose the style that best fits your data.

For our example, we’re looking at multiple data points for several categories. Here, these data points are three sales values, for five countries each. Keep these ideas for how to present numbers in mind:

• A logical visual would group each country together.
• Then, show each of the three sales figures side by side.
• You could also reverse it – group the years and show sales for all five countries.

In a case like this, a column chart is the ideal choice. These group data just as described.

But when might a different chart type be useful? Imagine if your data included details about Germany’s 2024 sales, for example. Suppose you’re presenting to your marketing team, and they’ve asked how sales of each individual product make up the total. Here, a pie chart would be the perfect option. These show how individual pieces form a whole.

But in this case, we’ve decided on a column chart. Find one in the deck, and let’s insert it. In our template, slide #15 contains a beautiful chart. It’s already built. All you need to do is add your own data.

To do that, click into the chart area, then right-click. From the menu, choose Edit Data. You’ll see an embedded Microsoft Excel spreadsheet launch right inside of PowerPoint. From here, you can simply replace the existing data with the table you already have. As you work, the chart instantly updates itself to match the new data.

In moments, you’ll be presenting data in PowerPoint with this beautiful chart!

3. Style Your Visual

With your chart placed on the slide, you now have an array of design options. Remember, the goal is to make the chart work perfectly for your own data. These options primarily live on the Chart Design menu, which you can find on PowerPoint’s ribbon. With the chart selected, click on Chart Design.

The template has a beautiful color palette, but you can add your own. It helps to choose a color profile with plenty of contrast. This makes your visual even clearer and easier to read.

To add a new palette, click on the Change Colors drop-down menu. You’ll see an array of color swatches display. Click on one, and it'll apply to your chart.

You can add a new background by launching the Chart Styles section in the center of the Chart Design menu. For example, you can choose one with a gray background to make the colors really stand out on the slide.

Also, it’s possible to add more context to the data. The horizontal axis in our example is clear enough, listing countries. But there isn’t any explanation of what the vertical axis represents, or the colorful bars. Follow these steps:

• Open the Add Chart Element dropdown near the upper left of the ribbon.
• Click  Axis Titles.
• Choose Primary Vertical.
• You’ll see Axis Title appear on the chart. This is a text box, which you can select and type into.

Finally, back on the Add Chart Element dropdown, choose Legend , and pick a location like Top . Three colorful squares listing the three years shown in the chart will be added to the drawing. These labels aid in the presentation of data and information.

It’s easy to see how to present numbers in chart form, using PowerPoint. Start with a premium template like this, and then customize the chart inside to fit your needs.

4. Add Notes Where Needed

You now know well that charts are the best way to present data. But they don’t have to stand on their own!

Often, it’s useful to add more context. Audiences may understand the data perfectly but have questions. For example: Why are sales for one country climbing, while they are falling in another?

By adding notes where needed, you can add supporting details. It’s best to keep these off of the chart itself. If you clutter up your visual, the value of it diminishes rapidly. Check out an improved example below.

On our slide example, the paragraph section on the left may become a series of quick bullet points. These add supporting details that more fully explain the data shown in the chart.

Again, you may not always need to do this. But never think that a chart must be all-encompassing, explaining every piece of information by itself. The trick is to boost understanding, while remaining clear and concise.

5. Consider an Appendix

You may have extra details that you need to include in your slides.

In our example, imagine that you've got three sales offices in each of the five countries featured. Each of the fifteen makes up a certain percentage of overall sales. This may be key data for your audience, but it would complicate the visual that you just created.

Here, it’s a good idea to add an appendix. An appendix (often at the end of your slide deck) includes more detailed data. You might not review it with a live audience, but they can look at it later in a handout or digital format.

To add an appendix, go to the end of your presentation, and click New Slide on the Home tab. Here, it might be appropriate to share the detailed data in the form of a table. Or, you can add a pie chart, suitable for this style of dataset.

To add a chart from scratch, go to the Insert tab, then choose Chart > Pie. The embedded Excel window will return, and again, you can insert your data.

An appendix may not always be necessary. But you should include one (or more) if you've got meaningful data that you aren’t placing into the main slide deck.

The Best Source for Data Presentation Templates (With Unlimited Downloads)

Envato Elements is the best place to find top data presentation templates . For a low monthly rate, you've got access to unlimited downloads of PPT chart templates. You can try as many as you want, finding those that work best for you.

Explore PowerPoint Chart Templates

And that isn’t all. As an Elements member, you also have unlimited access to stock photos, music, fonts, and more. These are digital assets that pair perfectly with your data presentation.

Elements is an unbeatable offer because of the unlimited flexibility. With premium templates, you gain access to powerful features not found in free designs:

• beautiful data visuals that are pre-built and ready to customize
• stylish, custom fonts to help text stand out
• media placeholders to add supporting images and videos
• fully flexible layouts that adapt to your data and other content

The advantages are many. You save hard work, by leaving the slide design tasks to experts. This gives you the time needed to refine your message. Plus, the finished product will wow any audience, thanks to the expertly-crafted graphics . Truly, Envato Elements is the best value for creatives today.

Need a template, but don't want an unlimited subscription? We've got you covered with templates from GraphicRiver . You'll pay-as-you-go, and these templates give you everything you need. They've got pre-made designs for the best way to present data with less work than ever before.

Now Practice the Best Way to Present Data in Presentations

You just learned new ways to present data. Essentially, you saw how to present data in presentations so that your audience  can understand it. Great presenters think of the audience first. They'll thank you for your thoughtful work in how to present numbers and more.

Now, it's your turn! Put these tips on how to present data in presentations to work. Take a flat table in a presentation and convert it with our tips for presenting data in PowerPoint. Just download a template and get started. 

A Guide to Effective Data Presentation

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

Tools for effective data presentation

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

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

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

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

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

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

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

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

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

Examples of Good Charts

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

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

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

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

Example of Poorly Crafted Charts

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

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

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

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

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

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

Internal Audience

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

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

External Audience

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

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

Audiences for Live and Emailed Presentation

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

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

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

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

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

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

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

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

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

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

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

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

How to Present Data Effectively

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

What is data presentation?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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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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About the Author

Anna enjoys hot weather, collecting shells, and solving challenges in B2B marketing. She delights in thinking about abstract ideas and analyzing complex information to choose the best solution.

20 Free PowerPoint and Google Slides Templates for Data Presentations

Presenting the results of your data analysis need not be a hair pulling experience. These 20 free PowerPoint and Google Slides templates for data presentations will help you cut down your preparation time significantly. You’ll be able to focus on what matters most – ensuring the integrity of your data and its analysis. We’ll take care of the design end for you!

That said, I’ve divided this article into 2 sections. In the first part, I’ll share the PowerPoint templates. And in the second part, the 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

• 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 A and B. Or if there’s a relationship between data sets B and C.

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. You don’t need to use all of them for your presentation, simply pick one or two that does the job for you.

• Graph, Diagram & Data Sheet PowerPoint Template

There’s a reason why graphs and diagrams are so important in presentations. It’s because they make complex data look so much more understandable. Can you imagine copy and pasting all 1,000 rows of data on your slides? And then expecting your audience to understand what all those numbers mean?

Some geeks in your audience may love the challenge, but for the most part, normal people are going to hate your presentation. Fortunately, this 6-slide template pack will help simplify your job. And make it so much easier for your audience to understand the results of your data analysis!

• Cockpit Chart Presentation Template

If you’re giving a high-level presentation to decision-makers who need hard data and proper analysis, then this free template pack may be what you’re looking for. Each of the 9 slides included in this pack all include a number of charts and diagrams.

By default, text has been kept to a minimum, so there’s nothing to read off the slides. You can verbally explain what the graphs and diagrams mean. And perhaps, if the situation calls for it, you can share your recommended or suggested course of action for your stakeholders and decision-makers.

• Generic Data Driven PowerPoint Template

The best templates for data presentations will make your data come to life. This is where this 6-slide template pack comes in. It’s not only designed to make your data more understandable. But the good thing is, you can use this template for many different kinds of presentations. Whether you’re doing a presentation for a job interview, or a sales presentation, or even an academic one, this template can do the job.

If you want to make the slides look even more unique, you can quickly replace the background photo of the laptop. Then try using something that is more relevant to the type of presentation you’re doing. Slides include a pie chart slide, line chart with comments slide (this is the one in the screenshot above), and an overall statistics slide.

• Matrix Chart PowerPoint Template

The matrix chart looks simple enough. You’ve got rows and columns, pretty much like any regular table. But it’s more than just a table. 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.

This template pack comes in 10 slides. In addition to the basic matrix slide shown above, this pack also include slides like the probability and impact matrix chart slide as well as the table-like matrix chart slide.

• Stair Diagram PowerPoint Template

Just like its namesake, stair diagrams are great for showing a series of steps or progression. You can use good, old-fashioned bullet points, but it’s not going to be much fun. You’ve got 10 different stair diagrams to choose from in this template; the screenshot above shows a steps stair diagram .

Now, most of the diagrams we’ve designed have room for 4 or 5 steps. So, if you need more you can always add an extra step on the same slide. Or you can copy and paste to a new slide and just update the numbers.

Stair diagrams are pretty versatile. You can use them to present how certain processes work, describe a project workflow for maximum productivity, or use it to showcase certain structures in the company.

• Tables PowerPoint Template

Tables have been around for a long time. And it doesn’t look like it’s going to go out of ‘fashion’ soon. Quite the opposite, in fact. As you may have noticed, many of the charts and diagrams included in various templates in this article are based off of tables.

That said, this template pack is also quite unique as well. In addition to the normal-looking table slide shown above, our designers have also made it a point to come up with innovative ways to display tables for your presentations.

For instance, sample slides include a subscription slide, table with symbols slide, and a matrix organization structure table slide. Check out this template right away and see which table slides will look best for your presentation!

• Flow Chart PowerPoint Template

Flowcharts are extremely useful for documenting certain company procedures. You can even use it to present the hierarchy in the company, and who’s responsible for certain tasks. Instead of verbally discussing processes, why not try using a flowchart? You don’t need to design one from scratch either. You can just download this template pack and customize it according to your needs.

The good news is you have 10 different flowchart slides to choose from. Now, if you need to change the shapes to indicate certain steps and decisions, you can quickly do so in PowerPoint.

• Financial Pie Graphs PowerPoint Templates

Whether you’re presenting in front of the higher-ups in your company or potential investors for your startup, these financial pie charts will help you get your point across. With a few clicks you can customize these pie charts and make it your own.

Your audience can quickly analyze the charts and see which departments or products are profitable. In addition to the percentages shown on the slide, you can also add a short description about your financial metrics.

This template pack has 3 slides included. These are ring pie chart slide, financial pie charts for comparison slide (shown above), and the doughnut pie chart slide.

• Research & Development Data Templates

Any startup worth their salt will have a research and development process or team in place. These things are no joke – product development can take years and cost millions of dollars! External funding is often needed to sustain the R&D process.

This is where this template pack comes in. When you present to potential investors, you want to make it as succinct as possible. So, get directly to the point and show them the slides in this template pack.

Now, design is just a small part of the overall presentation. It’s your passion in the product and your ability to persuade potential investors that will ultimately lead you to success!

• Sales Report Presentation Template

Our list of templates for data presentations won’t be complete without a sales report template. As you can see, this template is great for in-house sales reports. This pack includes a vertical bar chart slide, marketing funnel slide (pictured), and a sales associate slide.

The vertical bar chart slide is great for keeping track of your team’s sales or cash flow. The marketing funnel slide, on the other hand, can help educate the team on how a marketing funnel works and which stages they should focus on.

Lastly, the sales associate slide can be used to introduce the most successful person in the team. This will definitely help boost his or her self-esteem and encourage others to do better next time!

• Data Driven Financial Templates

This 11-slide template pack is chock-full of charts and diagrams. The slides have been designed this way because it’s targeted for high-stakes financial presentations. For presentations that talk about money, you need to support your statements with cold, hard facts. And you need to do that in a professional manner.

This template will not let you down. From the design to the types of graphs we’ve included in the slides, this will suffice for most financial presentations. So, what are you waiting for? Check out the template pack right away!

• Block Chain Data PowerPoint Template

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

Blockchain technology is practically still in infancy. Sharing what you know about it isn’t exactly a walk in the park either. To help your audience understand the complexities of blockchain technology, use this template pack. It’s got all the slides you need to inform and educate your audience about the wonderful world of blockchain technology.

Google Slides Templates For Your Data Presentations

• Google Slides Life-cycle Diagram Template

A product’s life cycle is predictable. It starts with the introduction to the market, to product growth and maturity, and eventually, its decline. And it’s important to identify these stages because each has a direct influence on the company’s marketing activities and pricing.

This template pack will not only help you identify the stages. It will also help you assure your stakeholders and potential investors that you’ve done your research. And you’ll do whatever it takes to ensure the product’s success and, of course, profitability.

• Google Slides Playful Pie Chart Template

Unlike the other pie charts I’ve featured in this article, this one is going to be easy to use. First of all, there’s no need to download the template to your computer. All you have to do is just register an account on our Template Hub, and then create a copy of the template in Google Slides. As you can imagine, editing it is going to be a breeze as well. You’ve got 10 pie chart slides to choose from. Pick the ones that will help you get your message across, edit, and present (or publish)!

• Google Slides Dashboard Template

As you can see in the screenshot above, a dashboard slide will basically tell your audience everything they need to know in just a single slide. You can stretch the content out, and use one slide for each chart. But it’s not going to be dashboard style anymore if you do this.

Dashboard template slides are great for elevator pitches. Your prospects most likely don’t have a lot of free time. And you certainly don’t want to waste their time as doing so will leave a bad taste in their mouth. A dashboard-style presentation, however, will pique their curiosity and improve the likelihood that they’ll agree to a second meeting with you!

• Google Slides Waterfall Diagram Template

Waterfall charts are great for financial presentations. You can easily show which elements or categories gained or lost over a certain period of time. It can even be used to demonstrate changes in cash flow or your company’s performance in the stock market. This template pack has a total of 10 slides. This includes the waterfall performance comparison slide (pictured), waterfall flowchart diagram, and the project timeline slide.

• Google Slides Playful Data Driven Template

You may be thinking that templates for data presentations should be serious-looking. Well, that may be the norm, but it doesn’t mean your audience won’t appreciate a change of scenery!

This 10-slide playful-looking template packs a lot of punch. You can use this for a wide variety of presentations as it includes a lot of different charts and graphs you can use to share the results of your data analysis. There’s a bar graph, radar chart, waterfall statistics chart, a treemap, and more! Login to your Template Hub account to use this free Google Slides template!

• Google Slides Circle Diagram Template

The circle diagram template pack features 10 different kinds of circle charts. From pie charts, timelines, and cyclical processes to Venn diagrams, this versatile template can be used in all types of presentations. The color theme used is playful, and at the same time, professional, so you can be sure it will appeal to a wide audience. Some of the slides include a circle tracker diagram, project management chart, and a life cycle slide.

• Google Slides Creative Data Driven Financial Chart Template

Number crunchers will love the clean design on this 9-slide template pack. Getting your audience to understand your financial presentation is going to be a breeze using this template. There’s plenty of white space, and the graphics themselves are easy on the eyes. It’s your job as presenter, however, to explain what all these charts mean. So, once you’ve replaced the placeholder content with your own, you better start practicing your presentation speech!

What are your favorites templates so far?

I hope these 20 free PowerPoint and Google Slides template for data presentations have helped you out. Presentation design is important, but it pales in comparison to the message you want to share with your audience. As visual aids, we’ve designed these templates to be attractive while still maintaining a professional and trustworthy design. So, go ahead and download your favorite templates for your next data presentation!

You might also find this interesting:   Google Slides Review: Is It Better Than PowerPoint?

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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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Ideas Made to Matter

Presenting about data to your board: 6 tips from experts

Dylan Walsh

Sep 6, 2022

A strong data strategy is essential to be competitive. Companies refer to data nearly 80% more often in annual reports than they did in 2017, according to a recent report . And roughly half of companies surveyed had hired a chief data officer in the last two years — someone at the C-Suite level or just below who is responsible for the company’s strategic approach to data.

“Data is increasingly an asset that has both value and risk,” said Maria Villar, head of enterprise data strategy and transformation at German software company SAP.  Given the rapidly growing strategic importance of data, it is critical that CDOs not only do their job well but communicate effectively about their work. “Having an effective data strategy and then communicating it to important constituents, like your executive board, is a key to success,” Villar said.

At the recent MIT Chief Data Officer and Information Quality symposium , Villar moderated a panel featuring Ellen Nielsen, CDO at Chevron, and Denise Letcher, executive vice president and CDO at PNC Bank, discussing ways to craft a presentation about data strategy. The panelists stressed preparing early, catering data presentations to reach different audiences, and the importance of connecting to key business goals and telling compelling stories.

While the discussion focused on communication with boards, the key takeaways pertain to any set of important stakeholders.

Be prepared

Start early, said Letcher, who begins work on her annual business updates two months in advance. She begins by reviewing past presentations; Letcher has been PNC’s chief data officer for nearly seven years. “I have themes that I know the board likes to hear about,” she said. “I want to make sure I carry those forward.”

She also works closely with other teams to refine different dimensions of the presentation. Her boss provides “invaluable feedback” on the high-level topics; her managers review the content; the communications team helps her create a strong executive-level presentation.

Beyond the specific content of one’s own presentation, Nielsen pointed out the value of knowing where she fits during the meeting. Who is scheduled to present before and after? What might be the general mood of the meeting based on the topics under discussion?

“Typically, there are certain people who are preparing the content on the agenda, and they know very well what’s going on that day,” Nielsen said. She suggested finding this person and getting as much information as you can — it’s good to know what’s on the mind of the board members as you go in to talk.

CDOs must also stay abreast of salient issues beyond the company’s borders: How does data management fit with potential changes on the horizon? Letcher noted that board members, who tend to be active news consumers, often inquire about how CDOs are using their role to respond to industry shifts. Letcher, for instance, is keenly attuned to the overlap between her role and upcoming climate regulation.

Finally — it almost goes without saying — “practice, practice, practice,” Letcher said. Run through the presentation alone; test it on select groups for feedback. Be sure you have confidence in both your prepared remarks and your ability to answer questions.

Tell stories with broad relevance

It is important to connect the work of data and analytics to larger business objectives, Letcher and Nielsen said. Audiences like a board of directors are typically not interested in the details of specific projects or processes, and they don’t need to know what a CDO has been doing day-to-day or month-to-month. Rather, they care about outcomes — how the application of data and analytics is advancing business objectives.

Related Articles

“You want to step back and say, ‘How is data helping the overall company?’” Letcher said. If one slice of data proved essential to a recent merger and acquisition, for instance, then tell that story and clarify the value that is generated by good data. You want to explain how data is enabling the business strategy, she said.

As the audience for these presentations moves deeper into the organization — from the board, to leadership, to lower managers — the need for detail increases. The outcomes also grow more specific: from top-level business strategy to how data and analytics are supporting a particular unit or function. Budgetary questions and financial details become more relevant.

Competitiveness is another important topic of discussion, Nielsen said. When describing the strategic role of data within your company, benchmark these descriptions against competitors. What are you doing better? In what ways do you need to catch up? When describing areas for improvement, be sure to outline the most effective levers of investment.

Regardless of audience, Nielsen and Letcher highlighted the importance of stories and anecdotes. “I put a lot of effort in [finding] the right stories to share,” Nielsen said. “I look for stories that tell about new things, or where the organization tried something new and really overcame an obstacle and created tremendous value. These are the best.”

Don't forget the finer points

Alongside big picture issues of how to prepare for and organize a presentation, Nielsen and Letcher provided tips on the fundamentals, from how to frame the conversation to how many slides to create.

• Be explicit about why you’re there. If you’re there to provide an update, say that. If you’re there to ask for approval, say that. Nielsen suggested that if you’re there for an “ask,” give the board options rather than asking for a single outcome.
• Assume 10 to 20 minutes for the key messages. This means on the order of 6 – 8 slides. Present an executive summary with the main points first. And, whatever you do, don’t read from the slides. That’s “the kiss of death,” Letcher said.
• Prepare for questions . Think about the questions you may get in advance. Have dates in mind so that you can speak to chronology. Don’t be afraid to ask for more time if you don’t have an answer: “I’ll get back to you,” is a perfectly fair response.
• Don’t use acronyms. If you absolutely need to use one, define it first.

It’s also important to remain confident — even if people come and go or appear distracted. “Recognize that you are the subject matter expert,” Letcher said. “They rely on you.”

Read next: The next chapter in analytics is data storytelling

Best data visualization tool of 2024

Communicate business insights more easily to stakeholders with the best data visualization tools

Best overall

Best basic option, best for flowcharts, best for dashboards, best for features.

• How we test

The best data visualization tools make it simple and easy to communicate business insights from raw data to stakeholders.

1. Best overall 2. Best basic option 3. Best for flowcharts 4. Best for dashboards 5. Best for features 6. FAQs 7. How we test

Data visualization can be used in the form of anything from presentations to workflows, each of which can benefit from better charts and diagrams to provide information visually.

Ultimately, data visualizations will provide clear indicators of trends from existing data, or present otherwise important information such as core tasks or assignments in management processes. Graphic representation of key data helps you to get the point across quickly, in a way that others will find easy to understand.

The key to visualization is simplicity in the presentation, no matter how it is applied, and irrespective of industry-specific applications of visualization.

Below we list what we think are the best data visualization tools and apps currently available.

We've also featured the best data recovery software .

The best data visualization tools of 2024 in full:

Why you can trust TechRadar We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

Reasons to buy

Reasons to avoid.

Tableau comes in strong as a market leader when it comes to showing how visualization can help with general productivity management. It's a flexible and powerful solution that provides for business intelligence , and it's with large data sets that Tableau really comes into its own.

Tableau offers a range of different software tools for data visualization, starting with Tableau Creator which allows for both a desktop and online version for individuals, to allow for the processing of data to output visualized analytics. This service costs around $70 / £60 / AU$105 per user per month when billed annually.

There are also versions for teams and organizations, either as a standalone to provide data mining with visualization and interactive dashboards, while there's also a version for live analytics processing with existing software apps.

Altogether, Tableau is a powerful analytics tool for producing all manner of useful charts and graphs, all of which make it easier to communicate insights and answers to questions with different levels of stakeholders. 

• ^ Back to the top

Quire allows you to manage and visualize projects that don’t require advanced functionality.

Quire works by letting you map out tasks and thoughts in a simple to-do list format that can easily be rearranged and assigned to team members. Once tasks have been defined in the app, you can visually organize and assign these tasks using a Kanban board built into the system. The software makes it easy to flip between task lists and the Kanban board as needed.

The beauty of Quire is that it also offers a number of visual representations of your task list that you can choose from, including pie charts, project summaries, and graphs. All the basic visual data representations are there except for Gantt charts , the one strike against this platform. 

Overall, though, Quire delivers a streamlined interface that works very well for exploring workflows and improving project management . It strikes a good balance between simplicity and power, earning it a place among the best data visualization tools available right now.

Quire's starting Professional plan costs around $9 / £8 / AU$12 per user per month, but if you want more storage and functions you need to buy the Premium or Enterprise plans.

There are many ways in which you can visually organize your project. If your preferred style is flowchart-based organization, you’re going to love Casual.

Instead of Kanban boards or Gantt charts, Casual is built exclusively around a single flowchart interface where you organize projects by drawing lines between tasks, and assign team members to each step in the flowchart. Each team member gets a task list based on the flowchart, but essentially project managers that use Casual track progress through the single-pane flowchart.

In terms of price plans, all tiers share the same features. The only differentiating feature is the number of users. For example, the personal tier supports two users while the enterprise tier supports fifty or more. There is currently a free 14-day trial on all tiers, so you can see if it's for you before committing to an ongoing subscription.

Casual is easily the best data visualization tool if you prefer to work with flowcharts and have a project that can be represented in that format. If you want a range of charts and other ways to organize or manage a large team, however, Casual is not for you.

Our expert review:

If Gantt charts and dashboards are your thing, Wrike should be on your data visualization tool shortlist.

Wrike makes it easy to create tasks and workflows, and then manage these tasks visually in a Gantt chart or calendar format. One feature that’s great about Wrike is that you can visually create custom workflows for your project.

Data visualization is also a strong point for Wrike, which lets you set up custom dashboard items that visually show the progress of key project metrics. In one quick view, you can see the status of each area of the project.

The free tier supports up to 5 team members and an unlimited number of collaborators. A series of paid tiers unlock additional team members and premium features, with bespoke options available for large organizations.

Furthermore, Wrike is highly scalable, with many integrations to other platforms and support for large teams.

Read our full Wrike review .

5. Targetprocess

If you want all-in-one project management software that includes a host of data representation options, Targetprocess is for you.

Taking a dashboard approach but also working in Kanban and Gantt chart formats, Targetprocess basically gives your project the full suite of features. Complex task lists can be configured and rearranged, and it comes with a multitude of data representation views that can be added to the dashboard for quick progress assessment.

Targetprocess is geared towards agile software development projects, and it can be overwhelming in its feature set and clunky in its interface, but this solution visually represents data in more ways than rivals, and does everything a software project manager could want.

In summary, a comprehensive feature set makes this one of the best data visualization tools available for users who aren't intimidated by the wealth of options.

We've also featured the best mind map software.

Data visualization tool FAQs

What are data visualization tools.

The best data visualization tools transform raw data from spreadsheets, databases, and other sources into easy-to-read graphs, charts, and other graphic assets.

Why would you want to do that? These visualizations help bring data to life, making it easy to see performance over time, trends, and other vital metrics. As well as being an excellent addition to reports and presentations, data visualizations can help you analyze your data in new ways, drawing out details you may have otherwise overlooked.

How to choose the best data visualization tools for you

The best data visualization tool for you will depend entirely on your business needs. If you simply want to look at your data in new ways, a standalone data visualization solution could be the best option.

However, if you want to connect data from various sources or monitor metrics in real-time, a cloud-based solution with advanced features would be more appropriate. There are also software packages that offer a complete project management suite, alongside data visualization tools. This would be a solid choice for companies that want one program to do it all.

How we tested the best data visualization tools

Where possible, we register for and use every program in our best data visualization tools guide. We use the software, recreating real-world use cases to assess ease of use and functionality. Where there are features beyond the scope of data visualization, we test these too to give you a full overview.

We also look at ongoing technical support and the price tiers, investigating free versions where available. If we can't physically test a piece of software, we consider information displayed on the company's website, peer reviews, and testimonials from existing customers.

Read more on how we test, rate, and review products on TechRadar .

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23 Best Data Visualization Tools of 2024 (with Examples)

If you are dissatisfied with what you've been able to achieve with your current data visualization software, and you want to try a different one, you have come to the right place.

Or, if you have never tried a data visualization software and you wish first to understand how it works and what the market offers, you are again in the right place.

Through extensive research, we have compiled a list of the absolute best data visualization tools in the industry, ranging from free solutions to enterprise packages.

Continue reading, and find the JavaScript library, non-programmer-optimized tools, industry and concept-specific, or fully-featured mapping, charting, and dashboard solutions for your needs.

What are Data Visualization Tools?

Data Visualization Tools refer to all forms of software designed to visualize data.

Different tools can contain varying features but, at their most basic, data visualization tools will provide you with the capabilities to input datasets and visually manipulate them.

Helping you showcase raw data in a visually digestible graphical format, data visualization tools can ensure you produce customizable bar, pie, Gantt, column, area, doughnut charts, and more.

When you need to handle datasets that contain up to millions of data points, you will need a program that will help you explore, source, trim, implement and provide insights for the data you work with.

A data visualization tool will enable you to automate these processes, so you can interpret information immediately, whether that is needed for your annual reports, sales and marketing materials, identifying trends and disruptions in your audience's product consumption, investor slide decks, or something else.

After you have collected and studied the trends, outliers, and patterns in data you gathered through the data visualization tools, you can make necessary adjustments in business strategy and propel your team closer to better results.

In addition, the more you can implement the valuable insights gained from the graphs, charts, and maps into your work, the more interested and adept you will become at generating intelligent data visualizations, and this loops back into getting actionable insights from the reports.

Through data visualization tools, you build a constructive feedback loop that keeps your team on the right path.

Comparison of Best Data Visualization Tools

Best data visualization software for creating maps and public-facing visualizations..

Available in a variety of ways, including desktop, server, online, prep, free public option, Tableau provides an enormous collection of data connectors and visualizations.

Establishing connections to your data sources is straightforward, and you can import everything from CSV files, Google Ads and Analytics to Microsoft Excel, JSON, PDF files, and Salesforce data.

A variety of chart formats and a robust mapping capability ensure that the designers can create color-coded maps that show geographically important data in the most visually digestible way.

The tool offers a public version that is free to use for everyone that will help you create interactive visualizations and connect to CSV, text, statistical files, Google sheets, web data connectors, and Excel documents.

Tableau Desktop can help you transform, process, and store huge volumes of data with exceptional analytics and powerful calculations from existing data, drag-and-drop reference lines and forecasts, and statistical summaries.

The Desktop option lets you connect to data on-prem or in the cloud, access and combine disparate data without coding, pivot, split, and manage metadata, and there is no limit to how much data it can store, process, or share.

Whereas Tableau Desktop is more suitable for analysts and BI professionals, Tableau Public is for anyone interested in understanding data and sharing those insights through data visualizations (students, journalists, writers, bloggers).

Data visualization example

You can purchase Tableau Creator for $70 per user per month.

• The tool comes in desktop, cloud, server, prep, online options
• Free public version
• Extensive options for securing data without scripting
• Convert unstructured statistical information into comprehensive logical results
• Fully functional, interactive, and appealing dashboards
• Arrange raw data into catchy diagrams
• Support for connections with many data sources, such as HADOOP, SAP, DB Technologies
• More than 250 app integrations

With a user-friendly design and a substantial collection of data connectors and visualizations, Tableau will help you attain high performance with a thriving community & forum and mobile-friendly capacity.

2. Infogram

Fully-featured data visualization tool for non-designers and designers..

Consisting of more than 550 maps, 35 charts, and 20 predesigned templates, Infogram can enable you to prepare a fully responsive, professional presentation on any device.

You can import data from online or PC sources, and you can download infographics in HD quality, supporting multiple file types (PNG, JPG, PDF, GIF, HTML).

If the majority of your data sources are in Excel XLS, JPG, or HTML files, and you want them imported in Infogram as PDF files, you can do a little search and find the best PDF converters .

The process of creating effective visualizations for marketing reports, infographics, social media posts, and maps is simplified with the drag-and-drop editor, allowing non-designers or people without much technical knowledge to generate slick-looking reports, one-pagers, diagrams.

Interactive visualizations are perfect for embedding into websites and apps, and you can update new data to a chart periodically and automatically for updating dashboards, reports, presentations, live feeds, and articles through Infogram's live options.

The software allows you to upload CSV or XLS files from your Google Drive, Dropbox, or OneDrive accounts easily by connecting with the accounts, making any design changes, publishing, and embedding them.

Outside of the free Basic plan, the Pro subscription is $25 per month.

• 550+ map types and 35+ chart types
• Enhanced interactive charts and maps with tooltips, tabs, clickable legends, linking
• Object animations
• Move your graphics to social media, slide decks like Prezi, and other platforms easily
• Make changes on the fly without wholesale revisions
• View and restore earlier versions of your projects
• Generate 13 different reports on website traffic and automatically update the charts with data
• Facilitate top referring sites, mobile usage, number of pages per session, top keywords, and other reports through Google Analytics
• Publish your content on Facebook Instant Articles, Medium, or through WordPress

With a wide selection of chart types and map types that are easy to implement by anyone and a free plan that allows you to publish your content online, you will find Infogram is an excellent solution for downloading data, sharing it privately, and accessing beautiful templates and images.

3. ChartBlocks

Best data visualization tool for embedding charts on any website..

The cloud-based chart-building tool allows you to customize any charts and sync them with any data source, letting you share charts on social media websites, including Facebook and Twitter.

You can import data from any source using their API, including live feeds, with the chart building wizard helping you select the optimal data for your charts before importing on any device of any screen size.

Control all aspects of your charts with hundreds of customization options, allowing you to configure everything from colors, fonts, and sizes to grids and number ticks on your axes.

CartBlocks ensures responsive HTML5 charts that work on any browser or device and the powerful D3.js tool to render your charts as scalable vector graphics and make them ready to be used on retina screens and for high-quality printed documents.

Grab the embed code and share the charts on your website, Twitter, Facebook, and other social media sites.

The Personal plan is $0 per month, and you can scale up to the Professional subscription for $20.

• HTML5 charts that work on any browser, device, and screen size
• Import data from spreadsheets, databases, and live feeds
• Pick the right data for your chart with the chart building wizard
• Design all elements of your charts with hundreds of customization options
• Embed your charts on websites, articles, and across social media
• Set up scheduled imports in the ChartBlocks app
• Optimize your charts for retina screens and high-quality printed documents through D3.js
• Export charts to PNG images
• Export charts as vector graphics (eps, PDF, SVG)
• Remove branding for $20 per month

Helping you create charts on any device and any screen size along with optimizing the charts for high-quality prints, ChartBlocks can offer up to 50 active charts for free for up to 50K monthly views.

4. Datawrapper

Best data visualization software for adding charts and maps to news stories..

Created specifically for adding charts and maps to news stories, Datawrapper is an open-source tool that supports Windows, Mac, and Linux and enables you to connect your visualization to Google Sheets.

Select one of 19 interactive and responsive chart types ranging from simple bars and lines to the arrow, range, and scatter plots, three map types that allow you to create locator maps, thematic choropleth, symbol maps, and more.

Table capabilities provide you with a range of styling options for the responsive bars, columns & line charts, heatmaps, images, search bars & pagination.

Copy your data from the web, Excel, or Google Sheets, and upload CSV/XLS files or provide links to URLs, Google Sheets for live-updating charts.

Copy the embed code into your CMS or website to access the interactive version, or export the chart as a PNG, SVG, or PDF for printing.

Outside the free plan, you can purchase the Custom for $599 per month, but the free one offers unlimited visualizations.

• 19 interactive and responsive charts and 3 map types
• No limits to charts, maps, and tables you can create in the free plan
• All visualizations are private until you activate the publish capability
• Utilize shared folders, Slack & Team integrations, and admin permissions
• Dustwrapper will design a custom chart theme according to the style guides you send
• Export all visualizations as PNG, SVG, PDF formats
• Update charts and tables automatically without republishing through live updating
• Access print-ready PDFs with defined CMYK colors

Datawrapper will create finished visualizations similar to those in the New York Times, with tons of stylization options and practicality for creating graphics and web maps that you can easily copy and share.

JavaScript Library for Manipulating Documents through Data with Reusable Charts.

D3.js is a JavaScript library for manipulating documents based on data, helping you activate data through HTML, SVG, and CSS.

The tool is extremely fast and it supports large datasets and dynamic behaviors for interaction and animation, enabling you to generate an HTML table from an array of numbers or use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

While the platform requires some JavaScript knowledge, there are apps like NVD3 that allow non-programmers to utilize the library, providing reusable charts and chart components without taking away the power of D3.js.

Other similar apps include Plotly's Chart Studio that enables you to import data, compose interactive charts, publish static, printed versions or share interactively.

Ember Charts lets you extend and modify the time series, bar, pie, and scatter charts within the D3.js frameworks.

D3.js is free.

• Free, open-source, customizable
• Extremely fast and supportive of large datasets
• Generate HTML tables from numbers
• Create interactive SVG bar charts with smooth transitions and interaction
• Non-programmers can create complex visualizations
• A diverse collection of official and community-developed modules allows code reuse
• Utilize NVD3, Plotly's Chart Studio, and Ember Charts to get the most out of D3.js's library without coding

Emphasizing web standards, D3.js will help you create high-quality visualizations quickly and share them on the web without anyone having to install any software to view your work.

Best Data Visualization Software for Companies with BI Experience.

Domo is a cloud platform that has a powerful BI tool with a lot of data connectors and a robust data visualization capability that helps you conduct analysis and generate interactive visualizations.

The app helps you simplify administration data and examine important data using graphs and pie charts, and the engine allows you to manipulate ETL operations and conduct data cleansing in the engine after the load with no limits to how much data you can store.

With more than 450 available connectors, some of which are accessible by default and others after requesting URLs from the support team, Domo is highly flexible, and they allow you to load the locally stored CSV files easily.

Explore data in the interactive format through the data warehouse functionality, and conduct data prep, data joining, and ETL tasks.

Access more than 85 different visualizations, create and customize cards and pages, handling everything from text editing and single-data points to creating the apps for the app store.

You need to contact Domo's sales team for a personalized quote.

• Limitless data storage and an extensive range of connectors
• Create advanced charts and maps with filters and drill-downs
• Guide people through analysis with interactive data stories by combining cards, text, and images
• Ensure the teams can self-service while governing access to data
• Refine data with data points, calculated fields, and filters
• Annotate chart data for further commentary
• Define how cards on a dashboard interact with custom links and filters
• Dashboards with KPIs for retail, marketing, data science through different apps
• Encrypt your data with the Workbench tool or use an on-premise VM with Domo querying engine behind your firewall

Domo's powerful BI tool with a lot of data connectors isn't suited for newcomers and is best-suited for businesses that have BI experience that will benefit from the tool's excellent sharing features, limitless data storage, and terrific collaboration capabilities.

7. Google Charts

Best data visualization tool for creating simple line charts and complex hierarchical trees..

The powerful and free data visualization tool Google Charts is specifically designed for creating interactive charts that communicate data and points of emphasis clearly.

The charts are embeddable online, and you can select the most fitting ones from a rich interactive gallery and configure them according to your taste.

Supporting the HTML5 and SVG outputs, Google Charts work in browsers without the use of additional plugins, extracting the data from Google Spreadsheets and Google Fusion Tables, Salesforce, and other SQL databases.

Visualize data through pictographs, pie charts, histograms, maps, scatter charts, column and bar charts, area charts, treemaps, timelines, gauges, and many more.

Google Charts is free.

• Rich interactive chart gallery
• Cross-browser compatibility
• Dynamic data support
• Combo, calendar, candlestick, diff, gauge, Gantt, histograms, intervals, org, scattered, stepped area charts
• Animate modifications made to a chart
• Draw multiple charts on one web page
• Compatible with Android and iOS platforms

Google Charts is a free data visualization platform that supports dynamic data, provides you with a rich gallery of interactive charts to choose from, and allows you to configure them however you want.

8. FusionCharts

Best data visualization tool for building beautiful web and mobile dashboards..

FusionCharts is a JavaScript-based solution for creating web and mobile dashboards that can integrate with popular JS frameworks like React, jQuery, Ember, and Angular and server-side programming languages like PHP, Java, Django, and Ruby on Rails.

The tool equips you with 100+ interactive chart types and 2,000+ data-driven maps, including popular options like the bar, column, line, area, and pie, or domain-specific charts like treemaps, heatmaps, Gantt charts, Marimekko charts, gauges, spider charts, and waterfall charts.

In addition to these, FusionCharts provides 2K+ choropleth maps that cover countries and even cities, and the powerful engine supports millions of data points in your browser with no glitches.

Generate charts on the server-side, export the dashboards as PDFs, send reports via email, and FusionCharts will have you covered.

The Basic plan is $499 per year.

• Integrates with popular JS frameworks and server-side programming languages
• 100+ interactive chart types and 2K+ data-driven choropleth maps
• Construct complex charts through dashboards easily with consistent API
• Plot your crucial business data by regions with over 2,000 choropleth maps
• Common charts are supported on older browsers
• Comprehensive documentation for each library or programming language
• Ready-to-use chart examples, industry-specific dashboards and data stories with source codes

With extensive documentation, cross-browser support, and a huge number of chart and map format options, FusionCharts will allow you to build beautiful dashboards for your web and mobile projects while keeping even the most complex charts performing on a high level with consistent API.

9. Chart.js

Simple and flexible data visualization software for including animated, interactive graphs on your website..

Chart.js is a simple and flexible JavaScript charting library that provides eight chart types in total and allows animation and interaction.

Using the HTML5 Canvas for output, Chart.js renders charts across all modern browsers effectively.

You can mix and match bar and line charts to provide a clear visual distinction between datasets, plot complex, sparse datasets on date time, logarithmic, and fully custom scales.

Animate anything with out-of-the-box stunning transitions for data changes.

Chart.js is free.

• The learning curve is almost non-existent
• Compatible with all screen sizes
• Modernized, eye-catching, and pleasing graphs
• Open-source and free
• Visualize your data through 8 different animated, customizable chart types
• Continuous rendering performance across all modern browsers through HTML5 Canvas
• Mix and match bar and line charts for a clear visual distinction between datasets
• Plot complex, sparse datasets on date time, logarithmic, and entirely custom scales
• Redraw charts on window resize

Not only are the Chart.js graphs easy to digest and eye-catching, but the tool allows you to combine different graph forms to translate data into a more tangible output and add numerical JSON data into the Canvas for free.

10. Sisense

#1 data visualization tool for simplifying complex data from multiple sources..

Crunch large datasets and visualize them with beautiful pictures, graphs, charts, maps, and more from a single dashboard.

One of the best data visualization tools that can help you transform data into actionable, applicable components or visualizations, Sisense lets you simplify data analysis by unlocking data from the cloud and on-prem and embed analytics anywhere with a customizable feature.

Create custom experiences and automated multi-step actions to accelerate workflows and integrate AI-powered analytics into workflows, processes, applications, and products.

Before selecting your data sources, you can preview and mash up a couple of data sources before adding them to your schema.

Instead of valuing visualizations for the number of designs and formats it offers, Sisense places the emphasis on the depth of insights the charts expose, providing multidimensional widgets that render interactive visualizations and generate a ton of insights by scrolling the mouse over them or clicking on different sections.

With no subscription plans displayed publicly, you will need to request a quote.

• Assemble and share dashboards
• Crunch large datasets and visualize them through graphs, charts, maps, and pictures
• Transform raw data into actionable, applicable components for visualizations
• Preview and mash up multiple data sources before adding them to your schema
• Enable self-service analytics for your customers code-free
• Advanced predictive intelligence and natural language querying
• Leverage robust embedding capabilities from iFrames to APIs and SDKs
• Pull in data from eBay, Facebook, Quickbooks, PayPal
• Leverage cached data for minimized query costs
• Resolve bottlenecks with in-chip processing

Appealing to seasoned BI users with its comprehensive features, Sisense will help you mash up data and create an analytics app, deploy your work on the cloud, recover your data and safeguard against errors, and help you export data to Excel, CSV, PDF.

11. Workday Adaptive Planning

#1 data visualization tool with the best planning, budgeting, and forecasting capabilities..

Workday's Adaptive Planning data visualization tool is designed to boost your business by helping you make more lucrative decisions, allowing you to plan, budget, and forecast while evaluating multiple scenarios across large datasets.

Collaborate through the web, mobile, or Excel and deliver stunning reports in minutes while quickly optimizing sales resources, increasing rep performances, and improving predictability.

Create dashboards that integrate your actuals and plans, easily manage models and forecasts across integrated data sources, and always extract real-time data.

Automated data consolidation from all sources and use flexible modeling that lets you build on the fly, adjusting the dimensions if needed.

Making the right decisions based on the insights gathered through a comprehensive budgeting and forecasting tool like Workday Adaptive Planning will be more effective when implemented hand in hand with Net Present Value calculation for fostering a more budget-optimized workspace and better investment decisions.

Before starting your free trial and receiving a quote, you will need to write a request to the support team.

• Create dashboards that integrate your actuals and plans
• Drag-and-drop report building features
• Create rep capacity plans to meet topline bookings targets
• Deploy the right quotas and set up balanced territories
• Collaborate on what-if scenarios
• Access audit trails to see what changed, where, and who did it
• Export operational data from GL, payroll, purchasing

When the active planning process is collaborative, comprehensive, and continuous as with Adaptive Planning, the tools and information for building complex dashboards quickly that the software provides are easy to deploy.

12. Grafana

Open-source data visualization tool for integrating with all data sources and using the smoothest graphs..

In Grafana , you can package and present information through a variety of chart types, and if you want to make dynamic dashboards, there are not a lot of visualization tools that make the process simpler than Grafana.

Grafana's open-source data visualization software allows you to create dynamic dashboards and other visualizations.

You can query, visualize, alert on, and understand your metrics no matter where they are stored, and deploy data source permissions, reporting, and usage insights.

Extract data from mixed data sources, apply annotations and customizable alert functions, and extend the software's capabilities via hundreds of available plugins.

Share snapshots of dashboards and invite other users to collaborate through the export functions.

Outside of the Free plan, you can purchase the Pro subscription for $49 per month + usage.

• Creating dynamic dashboards is easy
• Variety of chart types and data sources
• Support for mixed data feeds
• Access for up to 3 members in the Free plan
• Query, visualize, alert on, and understand your metrics
• Data source permissions
• Usage insights
• Apply annotations
• Hundreds of plugins
• Share snapshots of the dashboard

One of the best software for monitoring and alerting, Grafana allows you to write the query to create graphs and alerts, integrate with almost all cloud platforms, and invite other users to collaborate for free.

Best Data Visualization Software to Motivate and Engage Your Employees to Perform Better through Dashboards.

By visualizing performance indicators openly and engagingly, Plecto helps keep your team's morale at a high level and motivates your employees to keep improving.

Plecto allows you to integrate with an unlimited number of data sources, and you can even import data from different sources and filter these across sources.

Visualize your most important KPIs on real-time dashboards and engage your team with the addicting gamification features, sales contests, leaderboards, and instant notifications.

Add data through Excel, SQL, Zapier, or Plecto's REST-based API, display your Plecto account on a TV and access your dashboard on the go through mobile apps for Android, iPhone, and Apple Watch.

The Medium subscription starts at $250 per month when billed monthly.

• Provide data-driven, actionable knowledge about the business, departments, and individuals' performances
• Motivate your team to keep improving through gamification
• Integrate with an unlimited number of data sources
• Import data from different sources and apply filters
• Engage your team through sales contests, leaderboards, and instant notifications
• Add data through Excel, SQL, Zapier, or the software's REST-based API
• Access your Plecto account via TV or through the Android, iPhone, and Apple Watch apps

Plecto will allow the teams and individuals to keep progressing and provide teams with actionable, data-driven knowledge delivered through encouraging gamification practices while connecting them with one of 50+ pre-built integrations or public API.

14. Whatagraph

Best data visualization tool for monitoring and comparing performances of multiple campaigns..

The Whatagraph application allows you to transfer custom data from Google Sheets and API.

Commonly used by marketing professionals for visualizing data and building tailored cross-channel reports, Whatagraph is the best tool for performance monitoring and reporting.

Blend data from different sources and create cross-channel reports so you can compare how the same campaign is performing across different channels.

Create custom reports or utilize the pre-made widgets, with ready-made report templates for different marketing channels like SEO, PPC, social media, and share links with your colleagues so they can access them at all times.

Choose from 30+ integrations that include Facebook Ads, Google Analytics, HubSpot, and more.

The Professional plan will cost you $119 per month.

• Monitor and compare performances of multiple channels and campaigns
• Customize the reports with brand colors, logos, custom domains
• Add custom data with Google Sheets and Public API integrations
• Blend data from different sources and create cross-channel reports
• Ready-made templates for different marketing channels
• Google Analytics, Google Ads, Facebook Ads, Instagram, Twitter, Linkedin, Simplifi, and more integrations
• Automatically deliver reports to clients

Whatagraph allows you to style your reports according to your preferences, monitor and compare performances across multiple campaigns and channels, and blend data from different sources for cross-channel reports.

Best-in-Class Data Visualization Software for Running SQL Queries.

Cluvio will enable you to utilize SQL and R to analyze your data and create appealing, interactive dashboards in a few minutes better than any other tool on the market.

Translate your raw data into numerous professional charts and graphs, and share your dashboard with clients and colleagues without a mandatory log-in.

Scheduled dashboard and report sharing via email (image, PDF, Excel, CSV) are functionalities Cluvio provides to urge the users to view the information, get a regular snapshot, or trigger conversations.

Cluvio's customer service team is definitely worth mentioning as it has gained praise for being fast, informative, accurate, and helpful for a large portion of Cluvio's audience.

Outside of the Free plan, Cluvio's Pro plan is $249 per month.

• Change aggregation, select a specific time range, and filter dashboards by any individual attributes
• Code completion, syntax highlighting, and parameterized queries in the SQL editor
• Turn your codes into reusable snippets
• Monitor data in real-time with SQL alerts
• Automatic suggestions for best data visualization practices
• Run custom R scripts
• Invite an unlimited number of employees in the Pro and Business plans

Not only does Cluvio offer a free plan with three dashboards and 1,000 query executions, but the software comes with complete monitoring and sharing capabilities while allowing you to dig deeper into your statistical analysis and extract more value through SQL and R queries.

16. RAWGraphs

Best data visualization tool for simplifying complicated data through striking visual representation..

RAWGraphs will enable you to generate beautiful data visualizations uploaded as XLSX or CSV files quickly, as well as URL uploads and spreadsheet copies.

The software offers mapping and export visualizations as SVG or PNG images that can be customized by inputting additional parameters.

You can work with delimiter-separated values (CSV. and TSV. files), as well as copy-paste texts from other applications (TextEdit, Excel) and CORS-enabled endpoints (APIs).

Data here is processed only by the web browser, and the charts are available in conventional and unconventional layouts.

The pricing is not provided by the vendor, which is why you will have to contact them to get your quote.

• Work with CSV, TSV files, copy-paste texts from other applications, and APIs
• Receive visual feedback after mapping dataset dimensions
• Export visualizations as SVG and PNG images and embed them on your web page
• No server-side operations or storages are performed so no one can see or copy your data
• Unconventional charts that are hard to produce with other tools
• Simple pie and column charts
• Map the dimensions of your datasets with the visual variables of the selected layouts
• Open the visualizations in your favorite vector graphics editor and improve them

Designed as a tool to provide the missing link between spreadsheet applications (Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (Adobe Illustrator, Inkscape, Sketch), RAWGraphs will help you simplify complex data through powerful visualizations.

17. Visually

Fast and affordable data visualization solution for infographics and interactive websites..

Visually is a data visualization and infographics platform that will help you turn your data into a compelling story, allowing you to convert your numbers into image-based visualizations and streamline the product design processes.

To create your memorable data visualizations, Visually's team will handpick from a selection of 1,000 of the best data journalists, designers, and developers to deliver your designs in record time.

Collaborate with world-class designers to create infographics that stand out, with the software keeping you in direct contact with your creative team and assigning you a dedicated rep to be at your disposal during the streamlining of the production.

Create presentations and slideshows that leave long-lasting impressions with a normal delivery time of 19 days.

Data personalization example

You will need to submit a request to get your quote.

• Create world-class presentations and slideshows and attention-grabbing infographics
• Usual delivery time of 16 days for infographics and 19 days for slideshows and presentations
• Corporate reports, sales decks, and slideshares for startups, Fortune 50 companies
• Share content on social media channels
• Collaboration with premium data journalists, designers, and developers
• Convert your numbers into image-based visualizations
• Keep direct contact with the creative team during the infographics, presentation production process

Visually creates beautiful content that grabs the attention of large crowds on social media, conveys the intended message in a captivating way, and connects you with the world's biggest experts while allowing you to keep direct contact during their work in the production stages, which guarantees satisfactory infographics and presentations.

#1 Data Visualization Tool for Converting Data into Useful Diagrams.

Looker will help you develop and streamline accurate data models and visualize your codes in interactive diagrams.

Equipping you with a dashboard through which you can explore and analyze your data deeply, Looker lets you select funnel, maps, timelines, donut multiples, snakey, treemap, combined charts, or gauge multiple visualizations.

You can configure your specific visualization, and the software will add it to your Looker workflow, helping you maximize your impact and tell a compelling story.

Without proper organization, any data you pull for visualizations will give subpar results, which is why you need to properly manage, update, and track data by choosing one of the best database software that will help you generate realistic and productive projections in your visualizations.

Set up filters for individuals or groups dynamically, separating one dashboard for sales reps, one for customer success managers, and another for external viewers.

Develop robust and accurate data models and reduce errors while understanding the relationships, behaviors, and extensions of different LookML objects.

As with many other vendors, you will need to send a request to receive your quote.

• Visualize your codes in interactive diagrams
• Explore and analyze your data deeply
• Choose from a variety of chart types, multiple chart and map frameworks, or configure your own
• Build effective, action-oriented dashboards and presentations
• Easy to detect changes and irregularities in your data
• The software adds your tailored visualizations to your Looker workflows
• Set up dynamic filters for groups and individuals and separate the dashboards for sales reps and external viewers
• Visualize data with subtotal in tables

Providing a modern API to integrate your workflows, Looker allows you to explore your data to intrinsic detail and bring your stories to life through compelling visualizations while compartmentalizing the dashboards for different uses.

19. Chartist.js

Best data visualization tool for smaller teams in need of simple, responsive charts..

Chartist.js is an open-source charting JavaScript library that has a lightweight interface that is flexible for integrations.

Create responsive, scalable, and great-looking charts while availing of the simple handling, great flexibility while using clear separation of concerns (styling with CSS and controlling with JS), SVG for illustration, and more.

The app is fully responsive and DPI independent, which results in GUI being displayed at a consistent size regardless of the resolution of the screen.

Chartist.js ensures responsive configuration with media queries, allowing compatibility with a wide variety of devices and screen sizes.

Specifying the style of your chart in the CSS will enable you to use the amazing CSS animations and transitions and apply them to your SVG elements.

Chartist's SVG animation API ensures almost limitless animation possibilities, and you can style your charts with CSS in @media queries.

The configuration override mechanism based on media queries helps you conditionally control the behavior of your charts when necessary.

Lastly, you should know that the app is fully built and customizable with SaaS.

Chartist.js is free.

• Create responsive, scalable, great-looking charts
• A lightweight interface that's flexible for integrations
• Implement your style through the DOM hooks
• Rich, responsive support for multiple screen sizes
• Comprehensive grid, color, label layout options
• Advanced SSL animations
• Multi-line labels
• SVG animations with SMIL
• Control the behavior of your charts with the configuration override mechanism

Offering great response configuration to media queries and high flexibility for use in the separation of concerns, Chartist.js is here to help you create highly customized, responsive charts and allow you to utilize SVG for illustrations.

20. Sigma.js

Single-purpose data visualization tool for creating network graphs..

Sigma.js allows you to create embeddable, interactive, and responsive graphs, helping you customize your drawing and allowing you to publish the final result on any website.

To make the networks' manipulation on web pages as smooth and as fast as possible, Sigma.js will equip you with features such as Canvas and WebGL renderers, as well as mouse & touch support.

You can add your functions directly to your scripts and render the nodes and edges how you want them to be.

Through the Public API, you can modify data, move the camera, refresh the rendering, listen to events, and more.

Sigma.js can allow you to create JSON and GEXF-encoded graphs with the related plugin covering loading and parsing of the files.

Sigma.js is a free, open-source tool.

• WebGL and Canvas rendering
• Rescale when the container's size changes
• Render nodes and edges according to your liking
• Move the camera, refresh the rendering, listen to events, and modify your data through the Public API
• Display simple interactive publications of network and rich web applications
• Update data and refresh the drawing when you want
• Use plugins for animating the graphs or applying force-directed layouts to your graphs

Sigma.js is a dedicated graph drawing service that will help you embed graphs in websites and apps easily while allowing you to make changes and refresh the graphs anytime you want.

Best Data Visualization Software for Building Complex Data Models Quickly through its Associative Engine.

Innovatively providing data visualization services, Qlik will help you attain data from various sources quickly while automatically maintaining data association and supporting numerous forms of data presentation.

Capture large volumes of data and generate reports quickly and automatically while extracting valuable insights from transparent reporting functionalities and identify trends and information to help you make best-practice decisions.

Get an understanding of the information quickly through powerful global search and selections with interactive dashboards.

Combine, load, visualize, and explore your data, and activate the assistance from the insight advisor for chart creation, association recommendation, and data preparation.

Qlik Sense Business plan will cost you $30 per user per month.

• Build complex data models and dashboards quickly
• Simplifies data load and data modeling
• Aggregate structured data from different sources and build simple data models through snowflake or star schemas
• Simplified operation querying
• Generate reports quickly and automatically
• Identify trends to make best-practice decisions
• An attentive, knowledgeable support team that is receptive to feedback
• Get assistance on chart creation, association recommendation, and data preparation with the insight advisor

Allowing you to discover important insights through conversational analytics and insight advisor, rapidly develop custom apps, new visualizations, or extensions, and embed fully interactive analytics within the apps and processes, Qlik will let you visualize with clear intent and context through the most engaging graphs.

22. Polymaps

Dedicated javascript library for mapping and complete data visualization..

Designed specifically for mapping, Polymaps is a free, open-source JavaScript library for creating interactive, dynamic maps, using CSS to design and SVG to display your data through numerous types of visual presentation styles.

You can use the CSS mechanism to customize the visuals of your maps, after which you can easily embed them onto any website or apps.

The software supports large-scale and rich data overlays on interactive maps and SVR-rendered vector files, along with powerful graphical operations like compositing, geometric transformations, and image processing.

Apply styling via CSS operations, and utilize the CSS3 animations and transitions.

The software provides a factory method for constructing the required objects internally which results in shorter code and faster execution when compared to the traditional JS constructors.

Polymaps is 100% free.

• Large-scale data overlays
• CSS3 animations and transitions
• Private members can hide the internal state
• Refine the geometry to display greater details when zooming in
• Compositing, geometric transformations, and image processing
• Shorter code and faster execution
• Compatible and robust API

Polymaps is known for its speed when loading large amounts of data in full range, allowing it to run compositing, image processing, and geometric transforms, as well as supporting and processing of rich data on dynamic maps.

23. Microsoft Power BI

Best data visualization tool for fostering a data-driven culture with business intelligence for all..

Microsoft's Power BI is a data visualization and business intelligence tool combined into one that allows you to convert data from various data sources into interactive, engaging, and story-presenting dashboards and reports.

Providing reliable connections to your data sources on-prem and in the cloud, Power BI is ready to equip you with data exploration through natural language querying and real-time updates on the dashboard.

Save time and make data prep easier with modeling tools, and reclaim hours in a day using the self-service power query, ingestion, transforming, and integration tools.

Dig deeper into data and find patterns that lead to actionable insights, and use features like quick measures, grouping, forecasting, and clustering.

Activate the powerful DAX formula language and give advanced users full control over their models.

Power BI Pro is $9.99 per user per month.

• Access data from Dynamics 365, Salesforce, Azure SQL DB, Excel, SharePoint, and hundreds of other supported sources
• Pre-built and custom data connectors
• Natural language querying
• Real-time dashboard updates
• Design your reports with theming, formatting, and layout tools
• Quick measures, grouping, forecasting, and clustering
• Assign full control over models to advanced users through the DAX formula language
• Sensitivity labeling, end-to-end encryption, and real-time access monitoring

In Power BI, you can handle everything from managing reports using SaaS solutions to engaging in data exploration using the natural language query while accessing reliable data sources, which you can easily convert into interactive dashboards and reports that you can share across the whole organization.

Types of Data Visualization Methods

Starting with the most familiar one, column charts are a time-efficient method of showing comparisons among different sets of data.

A column chart will contain data labels along the horizontal axis with measured metrics or values presented on the vertical axis.

With column charts, you can track monthly sales figures, revenue per landing page, and similar information, while you can use the pie charts to demonstrate components or proportions between the elements of one whole.

You can find many more chart types like the Mekko, bar, line, scatter plot, area, waterfall, and many more.

Plots are data visualization methods used to distribute two or more datasets over a 2D or 3D space to represent the relationship between these sets and the parameters on the plot.

Scatter and bubble plots are some of the most commonly used data visualization methods, while the more complex box plots are more frequently utilized for visualizing relationships between large volumes of data.

A bubble plot is an extension of the scatter plot used to look at the relationships between three numeric variables.

Box plot is a data visualization method used for expanatory data analysis, visually displaying the distribution of numerical data and distortion through displaying the data quartiles and averages.

Maps allow you to locate elements on relevant objects and areas, which is where we can start to divide them into geographical maps, building plans, website layouts, and the most popular map visualization types include heat maps, distribution maps, and cartograms.

Heat maps are graphical representations of data where values are depicted by different colors.

Distribution maps are data visualization arrangements used to indicate the distribution of a particular feature in an area, and they can be qualitative that explore qualities or characteristics, quantitative where the value of data is shown in the form of counts and numbers.

The distribution of continuous variables like temperature, pressure, rainfall are represented by lines of equal value.

4. Diagrams and Matrices

Diagrams are used to illustrate complex data relationships and links, and they include various types of data in one visualization.

They can be hierarchical, network, flowchart, Venn, multidimensional, tree-like, etc.

Matrix is one of the advanced data visualization techniques that help determine and process the correlation between multiple continuously updating datasets.

What to Look for In Data Visualization Software Tools

Before getting into the specific functionalities, let's establish the fundamentals required when purchasing a data visualization tool.

1. Ease of Use

Any data visualization software you choose must have easy-to-use features and a user-friendly interface for the less technically skilled employees.

While there are code-heavy data visualization tools packed with advanced features, these tools need to be well balanced if your team consists of both seasoned IT users and less-experienced workers.

Tableau has a steeper learning curve than other platforms on this list, for example, but this is balanced out with an extremely user-friendly design and a l arge community of users.

That's not to say Tableau doesn't require substantial training, but the completeness of the tool in all aspects makes the training process worth the effort.

Similarly, Sisense will appeal to seasoned BI users while potentially causing frustration with the newcomers.

Apart from the natural language query in the third-party apps, Sisense's UI doesn't match the level of user-friendliness needed to satisfy less-knowledgeable users.

Online training systems with well-organized support teams have helped battle this significantly.

Most importantly, Sisense provides phenomenal data visualization service and equips their target intermediate and highly-skilled business analysts with transparency, and lifts most of their burden without having to buy additional tools.

2. Data Connectivity

Quality data visualization software will equip you with the capability to connect with or extract important information from external sources when you encounter data absence problems.

If you want to import data from both online and PC sources while being able to download infographics in HD quality and connect with numerous file types like PNG, JPG, PDF, GIF, HTML, and more, Infogram could be the comprehensive data connectivity solution you need.

What if you want good data connectivity for free?

Thanks to D3.js , this is possible as well, with the tool being the perfect JavaScript library for manipulating documents based on data, letting you access data through HTML, SVG, and CSS.

All this flexibility comes with additional benefits of the tool being extremely fast, supporting large datasets and dynamic behaviors for interaction and animation.

Adding on the themes in the previous paragraphs, D3.js accommodates this robust data connectivity with apps like NVD3 that non-programmers can use to still get good results in the library.

When you search for a tool that supports the SVG and HTML5 outputs, yet enables you to work in browsers without additional plugins, it's hard to rival Google Charts as it allows you to extract data from Google Spreadsheets, Google Fusion Tables, Salesforce (and Salesforce alternatives ), and other SQL databases.

3. Employee Skill Level

Now that you have determined the fundamentals you look for in the tool, you should turn inward and see what your team can offer to the tool.

Not only will you avoid sudden training costs during the learning process, but knowing the limitations of your employees will help you select a data visualization tool to get you the results you strive for and challenge the employees to develop faster.

4. Let's Talk Refinements

• Data visualization – Analyze data in visual form, such as patterns, charts, graphs, maps, trends, correlations, and so on.
• Role-based access management – Regulate access levels for individuals, including data and administration.
• Historical snapshots – Create snapshots of your data samples and workspace and access them as records later in the process.
• Template creation – Save previously used color schemes and combinations as templates and reuse them again in future projects.
• Visual analytics – Analyze enormous amounts of data through powerful and interactive reporting capabilities.
• Visual discovery – Find patterns, sequences, and outliers in datasets through visual analysis without necessarily creating data models.
• Data cleansing – Filter through the redundant and inaccurate residual information from various formats, and keep your database pure.
• In-place filtering – Filter off specific data by value, type, category, or other criteria with dropdowns, checkboxes, radio buttons, sliders, and more.
• Email reporting – Receive constant information and visual statistical reports about your data through scheduled emails.
• Mobile user support – Access your data and monitor ongoing operations outside of the working environment.

Which Data Visualization Tool Should I Choose?

Do you want a tool that will give you access to an enormous collection of data connectors and visualizations, allow you to create maps and public-facing visualizations that stand out, generating the most accurate forecasts and statistical summaries?

Of course, you do.

Everyone looking for a data visualization solution wants those things, and there is no better tool today to help you master self-service business intelligence like Tableau .

Maybee empowering your employees to perform better is at the top of your priorities, and you would like to engage your employees in an alternative way.

Plecto is a tool that will let you add data from all SQL databases, including Zapier and REST-based API, and allow you to integrate with an unlimited number of them while proactively motivating your team to improve through gamification and other unique features.

If you want to construct complex data models but you want to do it quickly with a tool that will help you attain data from various sources and even advise you on the best practices for chart creation, association recommendation, and data preparation, look no further than Qlik .

Just like Jumpeau, with Sisense , you know you are getting the cream of the crop from picture, graph, chart, and map visualizations and high-volume dataset management, reaching the depth of insights through the actionable visualizations that is unrivaled.

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Martin luenendonk.

Martin loves entrepreneurship and has helped dozens of entrepreneurs by validating the business idea, finding scalable customer acquisition channels, and building a data-driven organization. During his time working in investment banking, tech startups, and industry-leading companies he gained extensive knowledge in using different software tools to optimize business processes.

This insights and his love for researching SaaS products enables him to provide in-depth, fact-based software reviews to enable software buyers make better decisions.

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10 Ultimate Data Visualization Techniques to Make your PowerPoint Presentation Stand Out!

Getting audience attention towards your PowerPoint presentation is a feat in and of itself.

To achieve this feat possibly you have spent hours crafting a winning PPT to get that attention.

Perhaps many of you likely have spent hundreds of bucks too.

But despite all efforts, you still struggle to get that desired applause from viewers. You have done all that was required to make a PPT standalone. So, the million dollar question is what went wrong?

Rest easy! We have figured out the culprit.

Well, we all know that figures or data are imperative to make an impact. The problem is that with each passing day data or figures are becoming bigger and bigger. Managing and presenting huge data or figures in an engaging manner especially the big ones is a challenge in itself.

That’s exactly the weak link where every second presenter fails to hit the captivating chord.

Even skipping data or figures calculatedly is not going to serve the purpose. In fact, such a strategy may backfire and perhaps will do more harm than benefit. 

All you need to do is to understand the science of Data Visualization. Data visualization means the depiction of information in the form of visuals, chart and diagrams.

Well, we know many of you must be already applying charts, bar graphs and pie charts etc. to represent data. Frankly speaking, nowadays every second presenter is using such old data visualization tricks. These are good enough. But to create a jaw-dropping effect now you need to master new data visualization tricks. 

To help you out, here are 10 data visualization techniques or tricks to make your PowerPoint stand out.

Data Visualization Techniques for PowerPoint Presentations

1. Speedometer Dashboard

An automobile dashboard provides information about various parameters of vehicles. In the business world, it can be applied as a metaphor of Key Performance Indicator (KPI). To put in other words, a dashboard helps to visualize figures related to sales, production, efficiency, planning, client satisfaction level or key market trends.    

Download Speedometer PowerPoint Template

2. Batteries

A metaphor of battery may seem simple, but it has the potential to boost audience engagement. Presenters can apply battery visuals to symbolically represent figures related to employee satisfaction surveys, energy, motivation level of employees, strength, resources, time and financial state. Best is, instead of using traditional pie charts metaphors of batteries look trendy and are easy to comprehend. 

Download Batteries PowerPoint Template

3. Cylinders

Like batteries, the metaphor of cylinders perfectly fits to symbolize figures related to targets and goals. In short, different levels of cylinders can be applied in a presentation slide to depict various business figures.

Download Cylinders PowerPoint Template

4. Thermometer

Thermometer is a perfect symbol to portray figures related to sales growth, target, production and customer base in which level of mercury represents current value, while the top of the thermometer signifies figure or goal to be achieved. Good thing is that temperature color or level can be used to exhibit or compare different business variables.

Besides this, presenters can also incorporate thermometer metaphors to depict total funds, available funds and used funds.

Download Thermometer PowerPoint Template

5. Circular Infographics

Circular infographics are the most popular and widely used designs in presentation templates. Circular shapes fit well to depict processes that are cyclic in nature thereby making them easy to understand and retain. Best is by applying circular shapes it is easy to portray even complex figures or concepts and hence have a definitive edge over other visuals.

Download Circular Infographic PPT Template

6. Innovative pie-charts

Pie-charts or area diagrams are simple but time tested visual techniques to symbolize different categories of data. In pie-charts arc length is directly proportionate to data and hence resonates perfectly with audience attention. Now, by reducing and increasing the size of each arc proportionately to data a little arty twist can be given to make it more impactful. 

Download Pie-Chart PPT Template

7. Progress Bars

Giving a much richer experience progress bars are a powerful visual tool to illustrate weekly or monthly sales report. Showing completion percentages, progress bars inform spectators how close they are to complete a specific task. In short, as an indicator progress bar lay emphasis that a work is in process. In one line, easily comprehensible colorful visual representation greatly augments audience engagement.

Here’s the sample slide having progress bars to give a picture of various tasks advancement or progression.

Download Progress Bars Diagram

8. Measuring Scale

Every business house undertakes studies to analyze market trends and demand graphs. Here visuals of measuring scales can prove handy to lay emphasis on different findings or values of a survey. Data presented using measuring scale supports audience to make a quick and precise assessment.  

For example, in the sample slide below measuring scale graphics are used to highlight business performance.

Download Measuring Scale PPT Template

Easier to read and understand an icon is a graphical pictogram to indicate a specific subject, thing or expression. Now, icons can also be used to show data in an eye-catching image format. The best thing is that with icons without relying on words presenters can explain data or figures with abstract shapes only.  

For instance, in the slide below icons of humans are used to depict percentages.

Download Icons Chart PowerPoint Template

10. Creative Column Charts

Every second presenter applies vertical bars called column charts to represent data. Each vertical bar in a column chart is proportional to the data value. Application of the column chart is a great choice to show comparisons or data changes. Now, by bringing little arty effects a presenter can make them more likeable.

Download Column Chart PPT Template

Concluding thoughts

Driving audience attention seems harder than ever before. Therefore, a presenter just cannot afford to ignore even the smallest aspect of a PPT like figures or data.

We all know that it takes a lot of efforts to generate authentic figures or data. But getting such figures and presenting them in a PPT presentation is not enough. Presenting figures as such doesn’t mean the job is done.

In fact, that’s when the real work starts – presenting them in a striking manner is also important.    

To conquer this roadblock, a presenter needs to understand the power of data visualization techniques. Key is start using data visualization tricks to make figures or data easily comprehensible even for an ordinary audience.      

To help you out here we have casted a spotlight on ultimate data visualization tricks. Apply them to make your PowerPoint presentation a winning one.

Tell us what your favourite data visualization trick is to make the figures look interesting.  

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• Conferences
• Last Updated: August 18, 2024
• In Top AI Tools

14 Best Presentations On Artificial Intelligence And Machine Learning in 2024

• by Jeevan Biswas

For a quick overview of a subject or a breakdown of concepts, SlideShare serves as a go-to platform for many. The recapitulations found in many of the presentations are both concise and informative.

The most popular presentations topics are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category.

AIM brings you the 14 most popular ppt topics on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.

Find: Top AI PPT Maker Tools

1) Artificial Intelligence and Law Overview

People who are not aware of what artificial intelligence is will find the topic presented in a very simple manner here.

Along with the explanation of what AI is, the two major approaches towards AI are discussed– logic and rules-based approach, and machine learning approach. Special emphasis on the machine learning approach can be seen in the slides devoted to its detailed examination. The examination goes beyond the rudimentary explanation of what machine learning is and presents examples of proxies that seem like machine learning but are not.

The presentation lists examples of AI in the field of law and identifies some of the limitations of AI technology.

2)  What is Artificial Intelligence – Artificial Intelligence Tutorial For Beginners

For the uninitiated, this presentation offers an ideal rundown of AI. The question of AI being a threat is raised at the very beginning. However, as the presentation progresses, it discusses the basics necessary for understanding AI. The most basic question of what is artificial intelligence is answered.

A brief history of AI and the discussion on recent advances in the field of AI is also found. The various areas where AI currently sees practical application have been listed. Fascinating uses that AI can be put to in the future are also found in the presentation. The two approaches of achieving AI, machine learning and deep learning, is touched upon.

All in all, this presentation serves as a simple introduction to AI.

3) Why Social Media Chat Bots Are the Future of Communication

An exciting application of AI can be found in chatbots. Here, the limitless scope of chatbots is explored. The various milestones reached by leading players  in bot technology such as Facebook, Skype and KIK are enumerated.

The evolution of chatbots and its absorption of more AI in the future is also looked into. E-Commerce is touted as the biggest beneficiary of the advancement in chatbots and that bot technology will owe its rise to services and commerce.

Two tech giants, Facebook and Google, have been pitted against each other based on their ongoing developments in this area and the question of who will emerge as the best is raised.

4) AI and the Future of Work

This presentation talks about the far-fetching applicability of AI and ML,and the perils of that applicability. In order to derive a better understanding of this presentation, it is advisable to first watch the original talk.

During the course of the presentation, many examples of how machines can learn and perform any human task that is repetitive in nature are cited.

Other possibilities suggested include the creation of new unheard jobs for human beings as a result of aggressive use of AI and other allied technologies. Qualities that are characteristic only of human beings, may be the basis on which these jobs will be created is also suggested.

It concludes with a message- Ride the train, don’t jump in front of it.

5) AI and Machine Learning Demystified

In this presentation, Carol Smith establishes that AI cannot replace humans. Smith conveys that AI can serve the purpose of enabling human beings in making better decisions.

The slides talk about how the actions of AI are the result of the human inputs going into its programming. An AI’s bias is not its own, but the human bias with which it has been programmed, is emphasised on.

Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon. The presentation leaves you with a message – Don’t fear AI, Explore it.

6) Study: The Future of VR, AR and Self-Driving Car

Though no descriptive breakdown of topics related to AI is found, the presentation offers interesting numerical insights into many questions. Statistics on three main subjects – artificial intelligence, virtual reality and wearable technology, is provided here.

A variety of questions and the numerical representations of their responses are found under four main categories:

• Will you  purchase a self-driving car when they become available?
• Are you concerned with the rise of Artificial Intelligence?
• Is wearable technology part of your daily life?
• Do you own or intend to purchase a Virtual Reality headset in the next twelve months?

From consumer opinions to overall consensus of countries, the numbers show current trends and the possible trends in the future based on increasing development in the mentioned technologies.

7) Artificial Intelligence

There are many who have been introduced to AI only recently due to the buzz surrounding it and may not be aware of the early developments that led to its current status.

This presentation from 2009 offers a simple yet informative introduction to the rudiments of AI. AI’s history and a timeline of all the significant milestones in AI up to 2009 can be found. The presentation also provides an introduction to AI programming languages such as LISP and PROLOG.

For those who would like to have a crash course on the basics of AI in order to catch up with it current trends, this presentation serves the purpose.

8) Solve for X with AI: a VC view of the Machine Learning & AI landscape

While the concepts of  AI or ML are not spoken about, light is shed on other important aspects of it. The presentation discusses about how many known tech giants such as Google are bolstering their AI capabilities through mergers and acquisitions.

The role of venture capital(VC) in the landscape of AI and machine learning,and the involvement of VC in the firms that were acquired are mentioned.

Another point highlighted is how large companies are moving towards ML and re-configuring themselves around ML, and how it is not a US-centric phenomenon. Key points have been expressed in the form of self-explanatory graphical representations. Rounding off the presentation is the possible direction that ML can take and a few pointers on achieving success in ML.

9) Deep Learning – The Past, Present and Future of Artificial Intelligence

This presentation provides a comprehensive insight into deep learning. Beginning with a brief history of AI and introduction to basics of machine learning such as its classification, the focus shifts towards deep learning entirely.

Various kinds of networks such as recurrent neural nets and generative adversarial networks have been discussed at length. Emphasis has been given to important aspects of these networks and other mechanisms such as natural language processing ( NLP ).

Detailed examples of practical applications and the scope of deep learning are found throughout the presentation. However, this presentation may prove difficult for first time learner’s of AI to comprehend.

10) The Future Of Work & The Work Of The Future

The subject of self-learning of robots and machines is explored here. Talking about the fictional Babel fish, it is suggested that the advancements in technology leading to improved learning and translations by machines  made the Babel fish a near-real entity.

New ‘power’ values such as speed, networked governance, collaboration and transparency, among others, have been put forth and juxtaposed against older ones that are not fully technology  driven.

Going against the popular assumption that robots and machines will replace human beings, the presentation proposes that we are on the brink of the largest job creation period in humanity.

11) Asia’s Artificial Intelligence Agenda

This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it.

The data collected for the review has been summarized in the form of simple info-graphics. They are a numerical reflection of the mood surrounding the adoption of AI across different industries and how it could possibly impact human capital.  The review also suggests that while there is awareness about AI in Asia, only a small percentage of companies are investing in it.

Pointers for business leaders in Asia to capitalize on AI is offered in the end along presentation with an info-graphic timeline of the history of AI.

Download review report in pdf

12) 10 Lessons Learned from Building Machine Learning Systems

While they are two separate presentations, they talk about the same subject- machine learning. The presentations are a summary of the analysis of machine learning adopted by two platforms, Netflix and Quora.

In case of Netflix, emphasis has been given to the choice of the right metric and the type of data used for testing and training. It also emphasises the need to understand the dependence between the data used and the models employed. The advice to optimize only areas that matter is offered.

The second presentation on Quora, talks about teaching machines only what is necessary. It stresses on the need the to focus on feature engineering and being thoughtful about the ML infrastructure. Another point it highlights is the combination of supervised and unsupervised being the key in ML application.

13) Design Ethics for Artificial Intelligence

With 135 slides, this presentation provides an exhaustive insight into the creation of an ethically sound AI. An introduction to the subject of User Experience(UX) design is followed by the rules that have to be considered during the designing process.

The chronological progression of UX, beginning with experience design and ending with intelligence design, and the direction in which this process is headed is also discussed.

Supported by powerful visuals, the presentation touches upon many essential considerations such as nature of intelligence, purpose of existence, awareness of self and the need for which the AI is created.

It raises a pertinent point that while creating AI, human beings are creating something that embodies qualities that they lack.

14) Artificial Intelligence

Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.

Many of the examples, such as mind controlled prosthetic limbs, Ultra Hal Assistant and Dexter- the robot provide a trip down the AI memory lane where the applications of AI seemed like a page out of a sci-fi novel. It presents a list of areas where AI can assist human beings.

It concludes with  a series of questions, some of which, are still being debated. Such as machines replacing human beings’ and human unemployment due to the use of machines.

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The new COVID vaccine is out. Why you might not want to rush to get it

Many healthy people have immunity from vaccines and previous infection.

This is a KFF Health News story .

The U.S. Food and Drug Administration has approved an updated COVID-19 shot for everyone 6 months old and up, which renews a now-annual quandary for Americans: Get the shot now, with the latest COVID outbreak sweeping the country, or hold it in reserve for the winter wave?

The new vaccine should provide some protection to everyone. But many healthy people who have already been vaccinated or have immunity because they've been exposed to COVID enough times may want to wait a few months.

COVID has become commonplace. For some, it's a minor illness with few symptoms. Others are laid up with fever, cough, and fatigue for days or weeks. A much smaller group -- mostly older or chronically ill people -- suffer hospitalization or death.

MORE: Free at-home COVID testing program restarting as officials prepare for fall, winter season

It's important for those in high-risk groups to get vaccinated, but vaccine protection wanes after a few months. Those who run to get the new vaccine may be more likely to fall ill this winter when the next wave hits, said William Schaffner, an infectious disease professor at Vanderbilt University School of Medicine and a spokesperson for the National Foundation for Infectious Diseases.

On the other hand, by late fall the major variants may have changed, rendering the vaccine less effective, said Peter Marks, the FDA's top vaccine official, at a briefing Aug. 23. He urged everyone eligible to get immunized, noting that the risk of long covid is greater in the un- and undervaccinated.

Of course, if last year's COVID vaccine rollout is any guide, few Americans will heed his advice, even though this summer's surge has been unusually intense, with levels of the COVID virus in wastewater suggesting infections are as widespread as they were in the winter.

The Centers for Disease Control and Prevention now looks to wastewater as fewer people are reporting test results to health authorities. The wastewater data shows the epidemic is worst in Western and Southern states. In New York, for example, levels are considered "high" compared with "very high" in Georgia.

Hospitalizations and deaths due to COVID have trended up, too. But unlike infections, these rates are nowhere near those seen in winter surges, or in summers past. More than 2,000 people died of COVID in July -- a high number but a small fraction of the at least 25,700 COVID deaths in July 2020.

Partial immunity built up through vaccines and prior infections deserves credit for this relief. A new study suggests that current variants may be less virulent -- in the study, one of the recent variants   did not kill mice   exposed to it, unlike most earlier COVID variants.

Public health officials note that even with more cases this summer, people seem to be managing their sickness at home. "We did see a little rise in the number of cases, but it didn't have a significant impact in terms of hospitalizations and emergency room visits," said Manisha Juthani, public health commissioner of Connecticut, at a news briefing Aug. 21.

Unlike influenza or traditional cold viruses, CIVUD seems to thrive outside the cold months, when germy schoolkids, dry air, and indoor activities are thought to enable the spread of air- and saliva-borne viruses. No one is exactly sure why.

"COVID is still very transmissible, very new, and people congregate inside in air-conditioned rooms during the summer," said John Moore, a virologist and professor at Cornell University's Weill Cornell Medicine College.

Or "maybe COVID is more tolerant of humidity or other environmental conditions in the summer," said Caitlin Rivers, an epidemiologist at Johns Hopkins University.

MORE: What to know about the updated COVID vaccines coming this fall

Because viruses evolve as they infect people, the CDC has recommended updated COVID vaccines each year. Last fall's booster was designed to target the omicron variant circulating in 2023. This year, mRNA vaccines made by Moderna and Pfizer and the protein-based vaccine from Novavax -- which has yet to be approved by the FDA -- target a more recent omicron variant, JN.1.

The FDA determined that the mRNA vaccines strongly protected people from severe disease and death -- and would do so even though earlier variants of JN.1 are now being overtaken by others.

Public interest in COVID vaccines has waned, with only one in five adults getting vaccinated since last September, compared with about 80% who got the first dose. New Yorkers have been slightly above the national vaccination rate, while in Georgia only about 17% got the latest shot.

Vaccine uptake is lower in states where the majority voted for Donald Trump in 2020 and among those who have less money and education, less health care access, or less time off from work. These groups are also more likely to be hospitalized or die of the disease, according to a 2023 study in The Lancet.

While the newly formulated vaccines are better targeted at the circulating COVID variants, uninsured and underinsured Americans may have to rush if they hope to get one for free. A CDC program that provided boosters to 1.5 million people over the last year ran out of money and is ending Aug. 31.

The agency drummed up $62 million in unspent funds to pay state and local health departments to provide the new shots to those not covered by insurance. But "that may not go very far" if the vaccine costs the agency around $86 a dose, as it did last year, said Kelly Moore, CEO of Immunize.org, which advocates for vaccination.

People who pay out-of-pocket at pharmacies face higher prices: CVS plans to sell the updated vaccine for $201.99, said Amy Thibault, a spokesperson for the company.

"Price can be a barrier, access can be a barrier" to vaccination, said David Scales, an assistant professor of medicine at Weill Cornell Medical College.

Without an access program that provides vaccines to uninsured adults, "we'll see disparities in health outcomes and disproportionate outbreaks in the working poor, who can ill afford to take off work," Kelly Moore said.

New York state has about $1 million to fill the gaps when the CDC's program ends, said Danielle De Souza, a spokesperson for the New York State Department of Health. That will buy around 12,500 doses for uninsured and underinsured adults, she said. There are roughly one million uninsured people in the state.

CDC and FDA experts last year decided to promote annual fall vaccination against COVID and influenza along with a one-time respiratory syncytial virus shot for some groups.

It would be impractical for the vaccine-makers to change the COVID vaccine's recipe twice every year, and offering the three vaccines during one or two health care visits appears to be the best way to increase uptake of all of them, said Schaffner, who consults for the CDC's policy-setting Advisory Committee on Immunization Practices.

At its next meeting, in October, the committee is likely to urge vulnerable people to get a second dose of the same COVID vaccine in the spring, for protection against the next summer wave, he said.

If you're in a vulnerable population and waiting to get vaccinated until closer to the holiday season, Schaffner said, it makes sense to wear a mask and avoid big crowds, and to get a test if you think you have COVID. If positive, people in these groups should seek medical attention since the antiviral pill Paxlovid might ameliorate their symptoms and keep them out of the hospital.

MORE: As students head back to class, are schools ready to handle COVID-19?

As for conscientious others who feel they may be sick and don't want to spread the COVID virus, the best advice is to get a single test and, if positive, try to isolate for a few days and then wear a mask for several days while avoiding crowded rooms. Repeat testing after a positive result is pointless, since viral particles in the nose may remain for days without signifying a risk of infecting others, Schaffner said.

The Health and Human Services Department is making four free COVID tests available to anyone who requests them starting in late September through covidtest.gov, said Dawn O'Connell, assistant secretary for preparedness and response, at the Aug. 23 briefing.

The government is focusing its fall vaccine advocacy campaign, which it's calling "Risk less, live more," on older people and nursing home residents, said HHS spokesperson Jeff Nesbit.

Not everyone may really need a fall COVID booster, but "it's not wrong to give people options," John Moore said. "The 20-year-old athlete is less at risk than the 70-year-old overweight dude. It's as simple as that."

KFF Health News correspondent Amy Maxmen contributed to this report.

Related Topics

• COVID-19 Vaccine
• Coronavirus

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