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A pie chart is a type of graph in which a circle is divided into sectors that each represents a proportion of the whole. Pie charts are a useful way to organize data in order to see the size of components relative to the whole, and are particularly good at showing percentage or proportional data. While pie charts are popular data representations, they can be hard to read, and it can be difficult to compare data from one pie chart to another. Pie charts are a useful way to visualize information that might be presented in a small table.

source: ers.usda.gov

The pie chart above shows the distribution of fluid milk in the U.S. in 2013. Note: the percentages in the names of the milk, "plain 1% milk," "plain 2% milk," etc. indicate different types of milk.

The entire circle encompasses all of the fluid milk, and the sectors represent specific products that use a percentage of that milk. For example, 35% of fluid milk was used in plain 2% milk, and 1% of fluid milk was used in eggnog and buttermilk.

This milk data is well represented in a pie chart since there are a small number of categories (types of milk) that can be modeled as a portion of a whole (total amount of milk).

Say the pie chart above represents the breakdown of 100 gallons of milk. Create a 2-column table that lists the type of milk in the first column and the number of gallons of each type of milk in the second column. Show Answer Type of Milk Number of Gallons Plain 2% 35 Plain 1% 14 Skim 14 Plain Whole 27 Flavored 9 Eggnog and Buttermilk 1 If there are 100 gallons of milk, and 27% of that milk is whole milk, then 27 gallons is whole milk. If 14% of the milk is skim milk, 14 percent of 100 gallons is 14 gallons, and so on.

Making a Pie Chart

Pie charts are good for showing how the size of one part relates to the whole.

To make a pie chart, separate the data into components. In the pie chart above, the data is about all fluid milk in the U.S., and the categories are plain 2% milk, plain whole milk, plain 1% milk, skim milk, flavored milk, and eggnog and buttermilk. Next, determine the ratio or percentage that each component takes up out of the whole. The total sum of percentages should sum to 100%. Divide the circle into proportional sectors. If a particular component made up 25% of the whole, a quarter of the circle would represent that component. Color is often used to differentiate sectors.

Good practices for making pie charts: Title the chart. Use labels to denote categories. If ratios are unclear, label sectors with the percentages they represent. Use different colors for each sector. Don't repeat colors. Use accurate sizing when making sectors. For example, a sector representing 50% of the whole should take up exactly half of the circle. Make sure that the number of slices is small enough that the reader can make sense of the chart.

What is wrong with this pie chart? source: wikipedia Show Answer This pie chart has too many sectors. It is hard to see how sectors compare with one another.

What could be improved about this pie chart? This pie chart describes the distribution of native English speakers by country. source: wikipedia Show Answer This pie chart could benefit from a descriptive title, and it might be helpful to include labels for the percentages of each sector as the “Canada,” “Other,” and “Australia” sectors look roughly the same size.

What food group has about the same daily calories per capita as grain products?

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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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Data Analysis, Data Science, Data Visualization Filed under Design

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A complete guide to pie charts

Posted by: mike yi.

Despite often being maligned, the pie chart remains a very commonly-seen chart type. In this article, you will learn how to best use this frequently-misused chart type.

What is a pie chart?

A pie chart shows how a total amount is divided between levels of a categorical variable as a circle divided into radial slices. Each categorical value corresponds with a single slice of the circle, and the size of each slice (both in area and arc length) indicates what proportion of the whole each category level takes.

The pie chart above depicts the distribution of votes for a fictional election for a small city. We can see that Reyes, represented by the first blue slice, has just less than half of the votes. Chu (yellow) is in second, with about a third of the votes, while Williams (purple) is last, with about a fifth of the votes. The annotations in the upper right give us a more precise judgment of the proportions, but the pie chart tells the overarching story of where the votes fell.

When you should use a pie chart

Pie charts have a fairly narrow use-case that is encapsulated particularly well by its definition. In order to use a pie chart, you must have some kind of whole amount that is divided into a number of distinct parts. Your primary objective in a pie chart should be to compare each group’s contribution to the whole, as opposed to comparing groups to each other. If the above points are not satisfied, the pie chart is not appropriate, and a different plot type should be used instead.

The values that comprise a whole and the categories that divide the whole generally come in two major varieties. First of all, is when the ‘whole’ represents a total count. Examples of this include votes in an election divided by candidate, or number of transactions divided by user type (e.g. guest, new user, existing user).

A second type of ‘whole’ is when the total is a sum over an actual data variable. For example, we might be interested not in the number of transactions, but the monetary total from all transactions. Dividing this total by an attribute like user type, age bracket, or location might provide insights as to where the business is most successful.

Example of data structure

Data for a pie chart can be summarized in a table like the above, where the first column indicates a category, and the second the proportion, frequency, or amount of that category. Usually, the total does not need to be specified separately unless it is to be listed somewhere else on a generated figure. Alternatively, some tools can just work with the unaggregated data as in the below table, essentially performing the aggregation into the table above at time of pie chart creation.

Best practices for using a pie chart

Include annotations.

It is actually very difficult to discern exact proportions from pie charts, outside of small fractions like 1/2 (50%), 1/3 (33%), and 1/4 (25%). Furthermore, if the slice values are meant to depict amounts rather than proportions, pie charts typically lack the tick marks to allow for estimation of values directly from slice sizes. It is for these reasons that annotations are a standard inclusion for pie charts.

Consider the order of slices

A good order for slices can make it much easier for a reader to understand what the plot is saying. A typical ordering goes from the largest slice to the smallest slice, very useful when there are categories with very similar values. However, if the category levels have an inherent ordering, then plotting slices in that order is usually better.

As for choosing a start point, it’s a good idea to plot slices from a cardinally-oriented direction. Visualization tools will usually start from the right or from the top. While starting from the right has a mathematical basis regarding conventions on measuring angles, starting from the top feels more intuitive, since it matches how we read from top to bottom, and how we think about progression of time on a clock or watch face.

We do not sort by size here since the labels are meaningful.

Limit the number of pie slices

Pie charts with a large number of slices can be difficult to read. It can be difficult to see the smallest slices, and it can be difficult to choose enough colors to make all of the slices distinct. Recommendations vary, but if you have more than about five categories, you might want to think about using a different chart type. As another option, you might consider lumping small slices into a single ‘other’ slice, colored in a neutral gray.

Avoid distorting effects

Reading a pie chart accurately requires that the slices’ areas, arc lengths, and angles all point to an accurate representation of the data. While avoiding 3-d effects is a good idea for any plot, it is especially important for pie charts. Squashing or stretching the circle or adding unnecessary depth can easily distort how large each slice compares to the whole.

Another distortion can come from the ‘exploded’ pie chart, where slices are pulled out from the center for emphasis. This emphasis comes with a cost, where the gaps can make it more difficult to actually gauge the part-to-whole comparison.

Common misuses

Fitting a pie to incompatible data.

One of the most common mistakes with using a pie chart is to fit it to data that does not represent a parts-to-whole comparison. This confusion occurs most often when the values to be plotted are percentages or proportions, but don’t comprise a complete whole. The example below shows how frequently the people surveyed used each of four applications, but since many people used multiple apps, the proportions sum to much more than 100%.

Another tricky case is if the values used for each group are a summary statistic that is not a total. The chart below was built on the average transaction amount for multiple transaction types. However, since it ignores how frequently each transaction type was used, it distorts how much revenue is coming in from each type. While checks have the highest average, they might also be fairly rare in use. In both cases, a bar chart is an appropriate chart type to use.

Using pie charts to compare groups to one another

If you want to make comparisons between groups rather than from each group to the whole, then you are better off with a different chart type. Even when sorting slices by size, it can be difficult to tell how different two slices are, especially when they move away from the start / end point. In the below example, you might assume that the second slice is larger than the third due to order, but the corresponding bar chart actually shows the opposite. The main thing that you can really say from the pie chart is that both slices are approximately the same proportions from the whole.

Comparing values across multiple pie charts

There may be cases where you will want to compare multiple pies to one another: for example, comparing user demographic distribution across multiple years. However, this runs into a similar issue as the previous section, where you want to compare groups to one another. Even worse, it’s a comparison between pies, so you can’t rely on the order of slices as easily for the comparison. Expressing the data using a different plot, like  stacked bar chart , grouped bar chart, or  line chart , is often a better choice when this kind of group-to-group comparison is desired. Like with actual pies, pie charts are best taken one at a time.

Comparison of the pies may imply a shrinking of the older age groups by proportion, but the grouped bar chart demonstrates a growth in the younger groups.

Common pie chart options

Absolute frequency vs. relative frequency.

Pie charts can be labeled in terms of absolute values or by proportions. Labeling slices with absolute amounts and implying the proportions with the slice sizes is conventional, but consider the goals of your visualization carefully in order to decide on the best annotation style to use for your plot. In some cases, including both numbers in the annotations can be worth the additional text.

Doughnut plot

A doughnut plot (aka donut plot) is simply a pie chart with a central circle removed. For the most part, there  aren’t significant differences in readability  between a pie chart and donut chart, so the choice of a doughnut over a standard circle is mostly that of aesthetic. One small boon for the ring shape is that the central area can be used for additional information or to report statistics.

Related plots

The biggest competition for the pie chart comes from the  bar chart . Most of the time, you won’t want to use a pie chart – rather, a bar chart will get across the points more compactly and clearly. Many of the issues with pie charts are  solved through the use of a bar chart . However, bar charts do not immediately sell the part-to-whole comparison, which is pie chart’s major benefit.

Stacked bar chart

On the other hand, the  stacked bar chart  type can prove to be a strong rival to the pie chart in its ability to communicate a part-to-whole comparison. A single stacked bar can be thought of as a pie chart’s slices rolled out into a rectangular form. The rectangular form also makes it easier to compare categorical breakdowns across different groups. However, pie charts still have an advantage in  familiarity and aesthetics , so they’re still worth having in mind for the part-to-whole comparison use case.

Waffle chart

Another alternative to the pie chart is the waffle chart, also known as a square chart or square pie. A waffle chart comprises 100 icons, typically squares laid out in a 10 x 10 grid. Each icon represents 1% of the data, and the icons are colored based on the categorical distribution of the data. While there will need to be some rounding of category amounts to fit the plot structure – never split icons in this plot – it can be a way of making the relative proportions for each category easier to read.

Visualization tools

Most visualization tools will be able to create pie charts, despite their limited use case. Donut charts are somewhat less common, but there aren’t a whole lot of cases where they’re truly needed over pie charts. Despite the fact that pie charts have fallen out of favor for most visualization needs, it is important to recognize that they are a common chart that people generally know how to read. Pie charts are still great at their ideal job: immediately selling a part-to-whole comparison objective.

The pie chart is one of many different chart types that can be used for visualizing data. Learn more from our articles on  essential chart types ,  how to choose a type of data visualization , or by browsing the full collection of  articles in the charts category .

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Data Visualization: Better Than Pie Charts

• PowerPoint Tutorials
• Charts & Data Viz
• Presentation Design
• June 23, 2016

I hate pie charts.

They are ugly, over used and often stuffed so full of data that you can’t make any sense out of them.

That’s why in this tutorial, I’m going to show a data visualization technique that is better than using pie charts for getting your point across.

Research has shown that the single best indicator of success – for any profession – is how often you are asked to deliver presentations.

And the best way to get more invitations to present, is to make the presentations you do give REALLY good.

Before learning these better than pie chart tricks, don’t forget to ask yourself the all important presentation question before you start building your slide.

What’s the point?!

• Why did I go to all of the effort to pull this information together?
• What do I want someone to understand by seeing this information?
• What do I hope someone thinks after I present it to them?

Your slide’s job is to back you up, and to do that it needs to have a point. This is so obvious, so simple and yet so  OVERLOOKED !

With that said, let’s dive right in.

And right off the bat, I have to admit that pie charts are my least favorite chart type (by far), but let’s assume for this first episode, that we  HAVE  to use a pie chart. We aren’t given a choice (it happens).Enter your text here…

What type of chart should I use instead of a pie chart?

I typically prefer column and bar charts, and I explain why in  Episode #2 – The Pie Chart Secret Ingredient , as adding it all but forces you to get to a point with your slide.

So, if you are ever stuck with a pie chart, there are two bulletproof rules you can use to help you get to your point,  the Rule of Two’s  and  Going Doughnut .

Pie Chart Rule #1: The Rule Of Two’s

The Rule of Two’s is super simple. It means that when given a pie chart, you’re only allowed to format two pieces of data. That’s it, only two, which forces you to be crystal clear in what you want to talk about.

Step #1:  Format the one specific data point in your pie chart that you want to talk about.

Step #2:  Combine all of the other categories into a single category.

Step #3:  Add a title describing your highlighted portion.

For example, taking the original pie chart we started with on the left, using the Rule of Two’s I might end up with the slide on the right.

And right off the bat, notice how much clearer your message becomes for both you and your audience.

If you put up the original pie chart on the left, even you as the presenter might not remember what exactly you wanted to say about it. On the flip side, if you put up the pie chart on the right, you better start talking about the 45% that you highlighted as there is really nothing else to talk about.

It’s still might not be a super clear point (it’s merely a fact) but it’s now something you can use to back up what your are talking about.

Pie Formatting Trick – Changing the Angle of Your First Slide

I once read somewhere that it’s best to have the highlighted portion of your pie chart in the lower right-hand corner of your chart.

That means that depending on which data point you highlight in your pie chart with the Rule of Two’s, you might need to adjust the angle of your first slice. To do that, just follow these two steps.

Step #1: Open the Format Data Point Dialog Box

Click within your pie chart and hit the CTRL+1 shortcut on your keyboard to open up the formatting dialog box (see this charting shortcut explained below).

Within the dialog box that opens up, notice that you have an input box for ‘Angle of first slice’.

Step #2: Adjust the Angle of First Slice

Simply adjust the angle setting to move that piece of your pie chart around in your graphic. Below are some examples of different angles.

Pie Chart Rule #1: Slight Variation

Often times your pie chart will start with so many slices that coloring just one piece isn’t very helpful. In these cases, it’s good to use the Rule of Two’s to also consolidate the data points that you want to highlight.

For example, in the graphic below I’ve colored in black 3 different categories of traffic that can all be consolidated under the broader umbrella of organic traffic that I want to highlight.

After identifying which pieces can be grouped together, again using the Rule of Two’s you can group them together in Excel. For the data set above, that would result in the graphic below, showing that 70% of all traffic is coming from organic sources.

And you can do the same thing with whatever data set you are using.

Again, notice how if this was your graphic, you couldn’t help  BUT  talk about that 70% when you got to this slide.

That’s the beauty of using the Rules of Two’s. It gets you talking about one specific thing which as you’ll see in the next Episode, helps open up a whole can of worms (the good kind) for your presentation.

But before we get there, let’s also talk about Going Doughnut.

Pie Chart Rule #2: Going Doughnut

Do you agree the same chart on the right looks better than the one on the left?

The beauty is, you don’t have to recreate anything either. PowerPoint allows you to flip between your charts, so this is a quick fix to make.

Step #1: Change Chart Type

Select your pie chart and navigate to the Chart Tools Design tab and then select Change Chart Type to open up the Change Chart Type dialog box.

Depending on your version of PowerPoint, the Change Chart Type icon might be in a different place in your Ribbon.

With the Change Chart Type dialog box open, select the doughnut chart type.

Step #2: Add Your Statistic to the Center

Once you have your doughnut chart, next you will want to remove the data labels in the chart and add your own directly in the center.

To do that, just insert a shape or text box and in the center of the doughnut, and type in your figure (70% in this case). If you are using a rectangle, you will also want to remove the shape fill and the shape outline as shown below.

The Beauty Of These 2 Rules

The beauty of these two simple rules is they help you drill down to a specific data point you can use to back up your presentation. The result is an info graphic like visual that starts directing the message of your slide.

You can even use these rules to develop your point, even if you don’t originally know what it is.

For example, if the below was your original pie chart and you had  NO IDEA  what to do with the data…

That gives you some flexibility to talk about the 3 cornerstones of your organic traffic strategy, and to add a highlight or two about each piece.

It’s still not as good as what we do in  Episode #2 – The Pie Chart Secret Ingredient , but it’s the first step to getting to a point with your pie chart.

What’s Next?

Related articles.

• Bar chart trick: Right aligning categories (PPT, Word, and Excel)
• PowerPoint settings: program level vs. presentation level
• What is a linked Excel chart in PowerPoint?
• Set Up Slide Show: Customize how your PPT presentations run
• What is the Popup Toolbar in PowerPoint?

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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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Pie Charts: The Ultimate Guide

• January 22, 2024
• Data visualization

Imagine slicing a perfectly baked pie, each piece a different flavor, all parts of a delicious whole. That’s what pie charts do with data. They carve out portions of information and serve them up in a colorful, easy-to-digest visual feast.

Chances are, whether it’s budget allocations or survey results, you’ve encountered these circular marvels of data visualization. But why should you care, right? Well, in a world buzzing with numbers and stats, pie charts cut through the noise, turning complex data slices into comprehensible insights. Isn’t that something?

By the end of this read, you’ll be a pie chart wizard. You’ll learn how to craft these charting tools into compelling narratives that stick.

Table of Contents

What Is A Pie Chart?

Pie chart example, when to use a pie chart, how to read a pie chart, types of pie charts, how to make a pie chart in wordpress, how to make a pie chart in excel, how to make a pie chart in google sheets.

A pie chart is a circular statistical graphic that divides a circle into slices to illustrate numerical proportions. Each slice represents a category’s contribution to the whole, typically displayed as a percentage or fraction of the total.

Chart created with wpDataTables

The pie chart’s your go-to when you want to show how individual pieces measure up to the whole.

You’ve got a few categories? You’re in pie chart territory. Say you’re breaking down how time’s spent on a project, illustrating different slices for each task. If these tasks make up the entire project time, you’ve got yourself a pie chart situation. It’s about showing the relationship, like how much of the pie goes to meetings versus actual work.

Now, when you have a lot of categories or the differences between slices are kinda subtle, maybe think twice. Too many slivers of pie, and nobody knows what they’re looking at anymore.

So, use a pie chart when:

• You have a small number of categories.
• The focus is on relative proportions.
• You want to emphasize data as parts of a whole.

Just remember the golden slice: Pie charts are best served simple, with clarity as the main ingredient.

Picture this: a pie chart’s like a wheel, each wedge a different flavor of info.

First stuff first,  check out the title . It hooks you up with what you’re eyeing – a chart about, say, favorite ice cream flavors. Without it, you’re a lost cookie in a creamery.

Now, on to the legend – it’s your flavor guide, matching colors on the pie to what they stand for.  Cherry red  for cherry,  chocolate brown  for, well, chocolate; you get the drift.

Here comes the main act, those tasty wedges. Bigger slice, bigger deal. It’s all about proportions here.

• Size up the slices:  Eyeball which piece dominates – is it mint choco chip towering over the others?
• Colors and labels:  They’re there for a reason. Match ’em up – which hue speaks for which stats?
• Savvy up on specifics:  Some pie charts get fancy, throwing in numbers or percentages on the slices.

And hey, some charts like showboating with exploded segments to highlight the Big Kahuna.

Now, let’s not leave yet.  Glance for any fine print or sources  – gotta make sure you’re biting into fresh data pie, not last week’s leftovers.

Standard Pie Chart

This is the most basic form, where different segments of a circle represent different categories. The size of each segment is proportional to the quantity it represents.

Doughnut Chart

Similar to a standard pie chart but with a hole in the middle, giving it a doughnut shape. It’s useful for comparing parts of a whole and can sometimes include multiple series of data.

Exploded Pie Chart

In this type, some or all of the slices are separated from the main pie. This is useful for emphasizing certain segments.

Polar Area Diagram (Coxcomb Chart)

Resembles a pie chart, but each segment has an equal angle, and the radius varies according to the value being represented. It’s useful for displaying cyclic data.

3D Pie Chart

A pie chart with a three-dimensional aspect. While visually appealing, it can sometimes distort data representation.

Pie of Pie or Bar of Pie Chart

This involves a second pie or bar chart emerging from a slice of the main pie chart. It’s used to highlight and give more detail to smaller slices.

This is a variant of the pie chart with an additional variable represented by the radius of each slice.

Multi-level Pie Chart

A pie chart with multiple levels or concentric circles, each representing a different hierarchy or grouping of data.

To create a pie chart in WordPress using wpDataTables , follow these steps:

• Open the Chart Creation Wizard in your WordPress admin panel by navigating to wpDataTables -> Create a Chart.
• Choose a chart name and select a rendering engine (Google Charts, Highcharts, Chart.js, or ApexCharts).
• Pick a chart type from the list provided by the selected rendering engine.
• Define the data source by selecting a wpDataTable.
• Specify the data range for the chart, selecting columns and rows from the table.
• Customize the chart’s appearance and settings, including dimensions, colors, and other format options.
• Save the chart, which will generate a shortcode.
• Use the shortcode to insert the pie chart into your WordPress post or page.

To create a pie chart in Excel , follow these steps:

• Prepare the source data for the pie chart in a single column or row.
• Insert a pie chart by selecting your data, going to the ‘Insert’ tab, and choosing your desired pie chart type.
• Customize the chart by selecting various chart styles and options for formatting, labeling, and rotating the pie chart.

To create a pie chart in Google Sheets , follow these six steps:

• Open Google Sheets and input your data, ensuring it’s organized with clear labels for each category and their corresponding values.
• Highlight the data you want to include in the pie chart.
• Go to the ‘Insert’ menu and select ‘Chart’.
• Set up your pie chart by choosing the ‘Pie Chart’ option in the Chart Editor.
• Customize your pie chart using the Chart Editor, where you can edit chart elements, modify colors, add titles, adjust the legend, and more.
• Finalize and insert the pie chart into your Google Sheets document by clicking the ‘Insert’ button in the Chart Editor.

FAQ About Pie Charts

What’s the main point of a pie chart.

It’s all about visual impact! A pie chart takes your stats and gives them life with a vivid display. Think of it as a snapshot capturing the essence of your data set, perfect for showing off those percentage breakdowns and category comparisons that might snooze-fest in a spreadsheet.

How accurately can you interpret a pie chart?

Gazing at a pie chart, it’s like each slice whispers its story to you. All hunky-dory, right? Almost. Pie charts are ace for getting the gist of things, but when it comes to the nitty-gritty, they leave room for guesswork. You want hard figures? Best pair it with precise data labels or a chart legend.

Can I compare different sets of data with a pie chart?

Let’s get this straight – pie charts are great solo artists, singing the highs and lows of a single data series. Mash up multiple data sets in one pie chart, though, and you’ve got a recipe for confusion. Stick to one chart per set for clarity that hits the spot.

Are 3D pie charts better than 2D ones?

3D pie charts are the flashy cousins of the classic 2D, bringing an extra oomph to your presentation visuals. But here’s the catch: they can skew your view, distorting data proportions like a funhouse mirror. So, for accurate data representation, keep it real with 2D.

When is it inappropriate to use a pie chart?

Overcrowd your pie, and it’s goodbye readability! Save these circular champs for the times when your category comparison is short and sweet.

How many categories can you show in a pie chart?

A pie chart’s like a cozy dinner party – you want to keep your guest list exclusive to preserve the vibe. Aim for around five to seven categories max. Too many guests, and the party – I mean, your chart – becomes a chaotic mess no one enjoys.

What are some alternatives to pie charts?

Feeling adventurous? Swap out the pie for its cousins – how about a bar chart for crisp category comparison, or a stacked bar for part-to-whole relationships with a twist? And let’s not forget the doughnut chart – it’s basically a pie chart that decided to rock a trendy central void.

How do you choose the right colors for a pie chart?

Oh, the power of colors! For your pie chart to be the belle of the ball, play with contrasting hues that pop while being considerate to those with color vision deficiencies. Pro tip: Keep your color-coded segments intuitive – like green for “go” and red for “stop”.

Can pie charts be misleading?

Tricky, tricky pie charts, they can be sneaky little things. With their round faces and colorful slices, they can exaggerate or undersell differences if they’re not crafted with care. Choose them wisely, and always double-check that proportions match the real story.

What’s the optimal way to order the slices in a pie chart?

Arrange your pie slices by size – it’s not just tidier; it helps the eye follow the data flow. Start with the chunkiest slice at 12 o’clock and work your way down. This visual storytelling makes your data warmer, friendlier, and instantly more relatable.

Visual analytics  like this? They’re not just about pretty colors and shapes. They’re data heroes, transforming  statistical data  into something that anyone can nibble on and digest.

Remember, it’s not about tossing in a pie chart for the eye candy factor. It’s about using them when they’re the perfect fit – showcasing comparisons,  percentage representations , or  market share visualizations . And yeah, sometimes it’s smarter to pass on the pie and reach for another  data presentation software  or tool that better suits your fancy data feast.

Whether it’s in a boardroom or a classroom, armed with a click and a drag, you can now make data do the tango in a  circular graph , and who wouldn’t want that? Just keep it simple, savvy, and always, always on point.

• Milan Jovanovic

Product Lead

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A pie chart is a pictorial representation of data in the form of a circular chart or pie where the slices of the pie show the size of the data. A list of numerical variables along with categorical variables is needed to represent data in the form of a pie chart. The arc length of each slice and consequently the area and central angle it forms in a pie chart is proportional to the quantity it represents.

What is Pie Chart?

A pie chart is a type of a chart that visually displays data in a circular graph. It is one of the most commonly used graphs to represent data using the attributes of circles , spheres , and angular data to represent real-world information. The shape of a pie chart is circular where the pie represents the whole data and the slice out of the pie represents the parts of the data and records it discretely.

Pie Chart Definition

A pie chart is a type of graph that records data in a circular manner that is further divided into sectors for representing the data of that particular part out of the whole part. Each of these sectors or slices represents the proportionate part of the whole. Pie charts, also commonly known as pie diagrams help in interpreting and representing the data more clearly. It is also used to compare the given data.

Pie Chart Example

Let us look at the following example of the following pie chart that represents the ingredients used to prepare a butter cake.

Example: The whole pie represents a value of 100. It is divided into 10 slices or sectors. The various colors represent the ingredients used to prepare the cake. What would be the exact quantity of each of the ingredients represented in specific colors in the following pie chart?

Solution: As we can see, the pie is divided into 10 slices or sectors. To calculate the exact amount of ingredients that are added to the cake, we divide the whole sector's value, i.e., 100 by the number of sectors. So, 100 ÷ 10 = 10. Hence, looking at the color divisions made in the pie chart we can conclude that:

Pie Chart Formula

We know that the total value of the pie is always 100%. It is also known that a circle subtends an angle of 360°. Hence, the total of all the data is equal to 360°. Based on these, there are two main formulas used in pie charts:

• To calculate the percentage of the given data, we use the formula: (Frequency ÷ Total Frequency) × 100
• To convert the data into degrees we use the formula: (Given Data ÷ Total value of Data) × 360°

We can work out the percentage for a given pie chart using the steps given below,

• Categorize the given data and calculate the total
• Divide the different categories
• Convert the data into percentages
• Calculate the degrees

Let us understand the above steps using an example.

Example: Observe the following pie chart that represents the money spent by Ana at the funfair. The indicated color shows the amount spent on each category. The total value of the data is 20 and the amount spent on each category is interpreted as follows:

• Ice Cream - 4
• Toffees - 4
• Popcorn - 2

To convert this into pie chart percentage, we apply the formula: (Frequency ÷ Total Frequency) × 100

Let us convert the above data into a percentage :

Amount spent on rides: (10/20)× 100 = 50%

Amount spent on toffees: (4/20)× 100 = 20%

Amount spent on popcorn: (2/20)× 100 = 10%

Amount spent on ice-cream: (4/20)× 100 = 20%

Observe the following pie chart that recommends a low-carb diet on a day.

We measure the angles of each slice. We get that Protein measures 180° , Carb measures 108°, and Fats measures 72°

To find the percentage, we divide each angle by 360 and multiply it by 100.

Protein = (180/360) × 100 = 50%

Carb = (108/360) × 100 = 30%

Fats = (72/360) × 100 = 20%

Uses of Pie Chart

Whenever some data has to be represented visually as a fractional part of a whole, we use pie charts. It is used to compare the data and see why one is smaller/greater than the other. Therefore, when we are dealing with a limited number of buckets and discrete data sets, it’s better to use a pie chart. Listed below are a few uses of a pie chart:

• In a business, it is used to compare the growth areas such as profit and loss.
• In school, pie charts are used to show the time allotted to each section, the grades of students in a form of percentages, etc.
• Pie charts are used in comparing the relative size of data of people owning the same vehicles, similar houses, etc.
• They are used to represent the marketing and sales data for the comparison of brands.

Steps to Construct Pie Chart

We use the following steps to construct a pie chart and using the above-mentioned formulas, we can calculate the data.

• Step 1: Write all the data into a table and add up all the values to get a total.
• Step 2: To find the values in the form of a percentage divide each value by the total and multiply by 100.
• Step 3: To find how many degrees for each pie sector we need, we take a full circle of 360° and use the formula: (Frequency/Total Frequency) × 360°
• Step 4: Once all the degrees for creating a pie chart are calculated, draw a circle (pie chart) using the calculated measurements with the help of a protractor.

Example: Construct a pie chart to visually display the favorite fruits of the students in a class based on the given data: Mango - 45; Orange - 30; Plum - 15; Pineapple - 30; Melon - 30

Step 1: Create a table with the values and get the total.

Step 2: Find the percentage of each value:

Mango = (45/150) × 100 = 30%

Orange = (30/150) × 100 = 20%

Plum = (15/150) × 100 = 10%

Pineapple = (30/150) × 100 = 20%

Melon = (30/150) × 100 = 20%

Step 3: Finding the degree of each pie sector using the formula: (Given data/Total Value of data) × 360°

With all the above degrees, with the help of a protractor draw a pie chart. Thus, the pie chart looks like this:

Interpreting Pie Chart

To read or interpret a pie chart, we see if the given chart is given in percentages or without any value. If it is given in percentages, the conversion is made accordingly and interpreted accordingly. Let us look at an example to understand this better.

Example: The pie chart shown below shows the percentages of types of transportation used by 500 students to come to school. With this given information, answer the following questions: a) How many students come to school by bicycle? b) How many students do not walk to school? c) How many students come to school by bus and car?

a) The students who come by bicycle = 25%; (25/100) × 500 = 25 × 5 = 125

b) The students who do not walk to school - We need to add the values of all the remaining means, i.e., bus + car + bicycle = 26 + 32 + 25 = 83

Hence, (83/100) × 500 = 83 × 5 = 415 students do not walk to school.

c) The students who come by bus and car [(32 + 26)/100] × 500 = 58 × 5 = 290

Pie Chart Advantages

Given below are the advantages to a pie chart which are the reasons for the widespread application of pie charts in different fields.

• A pie chart is a simple and easy-to-understand method to represent the data visually as a fractional part of a whole.
• It provides an effective communication tool visually simpler than other types of graphs.
• Pie chart helps in data comparison for the audience at a glance to give an immediate analysis or to quickly understand information due to widespread use in business and the media.

Pie Chart Disadvantages

There are few demerits in pie charts. These are as given below,

• A pie chart cannot show more than a few values without separating the visual encoding from the data they represent, that is they are not very effective when the number of values in a data set increases.
• It does not easily reveal exact values in the data set.
• To show the changes in the data, many pie charts may be needed. It, therefore, fails to explain the causes, effects, or patterns.

Related Topics:

Listed below are a few interesting topics that are related to the concept of a pie chart, take a look!

• Measurement

Pie Chart Examples

Example 1: The following chart shows the various activities done by Diana in a week.

a) Calculate the central angle subtended at sleeping.

b) Find the portion of time spent by Diana at school.

c) Find the central angle subtended in playing.

a) Time spent in sleeping = 34%; (34/100) × 360 = 122.4°. Therefore, the central angle subtended at sleeping = 122.4°

b) Time spent at school = 25%; 25/100 = 1/4. Therefore, she spends 1/4th of her time in school.

c) Time spent on playing = 8%; (8/100) × 360 = 28.8°. Therefore, the central angle subtended at playing = 28.8°

Example 2: The pie chart shows the favorite subjects of students in a class. Using the information given in the pie chart, find the percentage of students who chose English.

Let's first determine the percentage of students who chose English by looking at the pie chart.

We know that 144° + 36° + 72° + 108°= 360°

The percentage of students who chose English: (72/360) × 100 = 20

Therefore, the percentage of students who chose English = 20%

Example 3: A pie chart is divided into 3 parts with the angles measuring as x, 4x, and 5x respectively. Find the value of x in degrees.

We know, the sum of all angles in a pie chart would give 360º as result. ⇒ x + 4x + 5x = 360º ⇒ 10 x = 360º ⇒ x = 360º/10 ⇒ x = 36º Therefore, the value of x is 36º.

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Practice Questions on Pie Charts

Faqs on pie chart, what is a pie chart.

A pie chart is a circular graph that records data according to numbers, percentages, and degrees. The pie chart is divided into sectors for representing the data of a particular part out of the whole part according to the measurements. Pie charts also called pie diagrams, represent each sector or slice as the proportionate part of the whole. Some of the examples where we use pie charts are in businesses, schools, etc.

What are the Uses of a Pie Chart?

Pie charts are used to represent the proportional data in a single chart. The concept of pie slices is used to show the percentage of a particular data from the whole pie. Pie charts are used in businesses to measure the profit or loss of the company, used in schools to compare the percentages of scores of students, used in marketing and sales materials, and so on.

Should a Pie Chart be equal to 100?

Yes, the total value of the pie chart should be equal to 100. The slices of the pie chart are accordingly expressed as a percentage.

What is the Formula for Pie Chart?

The different formulas that can be used while representing a given data in form of pie charts are as given below,

• To calculate the percentage of the given data we use the formula: (Frequency ÷ Total Frequency) × 100

How do you Explain a Pie Chart?

To read or explain the information depicted in the form of a pie chart, we see if the given chart is given in percentages or without any value. If it is given in percentages, the conversion is made accordingly and the data can be interpreted accordingly.

How do you Work out Degrees for a Pie Chart?

To convert the data into degrees for a pie chart, we use the formula given below, (Given Data ÷ Total value of Data) × 360°.

How to Calculate the Percentage of Data in the Pie Chart?

To calculate the percentage of the given data in a pie chart, we can use the formula given below, (Frequency ÷ Total Frequency) × 100

How to Create a Pie Chart?

We use the following steps to construct a pie chart:

• Step 1: Add all the values to get the total quantity mentioned in the table.
• Step 2: To determine the percentages divide each value by the total and multiply it by 100.
• Step 3: To determine the degrees of each sector, use the formula: (Frequency/Total Frequency) × 360°
• Step 4: Once all the degrees for creating a pie circle are calculated, draw the circle (pie chart) using the calculated measurements with the help of a protractor.

How to Change Pie Chart Numbers to Percentage and Degree?

To calculate the numbers present in the pie chart, we can convert them into percentages and degrees. To convert a value into a pie chart percentage, we use the formula: (Frequency ÷ Total Frequency) × 100. To convert a value into degrees, we use the formula: (Given Data ÷ Total value of Data) × 360°

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September 15

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Pie Charts and Data Visualization: Communicating Insights with Impact

By   Bernadette Bautista

September 15, 2023

Pie charts and data visualization can feel overwhelming, especially when you’re tasked with turning raw data into a compelling story . In fact, research indicates these circles divided into proportionate slices are amongst the most commonly misunderstood types of graphic information.

This blog is here to demystify pie charts, providing insights on their appropriate use , common misuses , and effective alternatives for data presentation . Let’s dive in – get ready to tell your data’s story like never before!

Understanding Pie Charts and When to Use Them

A pie chart is a visual representation of data that shows the relationship between different categories or parts of a whole. It is best used when comparing proportions and percentages, as it allows for easy perception of differences in size among the segments.

However, it should be used cautiously and only when there are few categories to avoid cluttering and confusion.

What is a pie chart?

A pie chart is a circle that we split into parts. Each part stands for a piece of data. The bigger the slice, the more of that thing there is. We use it to show how a whole breaks down into its parts.

It’s named after a pie because it looks like one ! Pie charts are helpful when you want to compare parts of something to the whole thing itself.

Benefits and limitations of pie charts

Pie charts are a useful tool for visualizing data because they show the relationship between a whole and its parts . They make it easy to see proportions and compare different categories at a glance.

Pie charts are especially effective when representing data in percentages , as each segment represents a specific proportion of the whole. However, pie charts have limitations too. They can be challenging to read accurately , especially when there are many small segments or similar colors used.

Additionally, pie charts cannot effectively represent trends over time or larger datasets that require more detailed analysis. It’s important to consider these factors when deciding whether to use a pie chart or explore other data visualization techniques that may better suit your needs.

Best practices for using pie charts

When using pie charts, it is important to follow some best practices to effectively communicate insights. First, make sure the chart has a clear title and labels that accurately describe the data being presented.

Use different colors or patterns for each segment to enhance visual clarity. Avoid overcrowding the chart with too many slices, as this can make it difficult to interpret. Also, consider rearranging or combining smaller categories into an “other” category if they represent a small percentage of the total.

Finally, always include the sum of all segments in the chart so that viewers can easily understand the whole picture. By following these best practices, you can create impactful pie charts that effectively convey your data insights.

Common Misuses and Alternatives to Pie Charts

Avoid using pie charts when the data has too many categories or is not easily measurable, and consider utilizing alternative data visualizations such as bar graphs or scatter plots instead.

When not to use a pie chart

Pie charts are a popular way to visualize data, but they may not always be the most effective choice. It is important to consider the purpose of your data visualization and whether a pie chart will accurately convey the insights you want to communicate.

Pie charts should be avoided when there are too many segments , making it difficult for viewers to distinguish between them. Additionally, if you need precise measurement or comparison of values, a bar graph or scatter plot may be more suitable.

Remember that pie charts work best when presenting proportions or percentages of a whole, so make sure this is relevant to your data before using one.

Alternative data visualizations

There are alternative ways to visualize data instead of using pie charts. One common alternative is bar graphs , which use bars to show the different categories or variables being compared.

Scatter plots are another option, which use dots on a graph to represent data points and show relationships between variables. These alternatives can be more effective for certain types of data analysis because they allow for better comparisons and understanding of trends .

By exploring these alternative visualizations, you can create impactful presentations and effectively communicate insights from your data analysis.

Tips for Creating Impactful Data Visualizations

Design visuals with clear color schemes, labels, and titles to effectively convey information and incorporate storytelling elements for maximum impact.

Design principles for effective communication

To effectively communicate data insights, it is important to follow design principles that engage and inform the audience. First, consider using clear and simple visuals with minimal clutter .

Use colors strategically to highlight key information and make sure labels and titles are easy to read. Additionally, incorporate storytelling elements into your visualizations to create a narrative flow that guides the viewer through the data.

By applying these design principles, you can create impactful data visualizations that effectively communicate insights and help drive informed decision-making.

Using color, labels, and titles effectively

Color, labels, and titles play a crucial role in creating effective data visualizations. When using color, it is important to choose colors that are visually appealing and easy to distinguish .

Labels should be clear and concise, providing the necessary context for understanding the data. Titles should accurately describe the content of the chart or visualization. By using color, labels, and titles effectively, we can enhance the clarity and impact of our data communication.

Incorporating storytelling elements

To make your data visualizations more impactful, it’s important to incorporate storytelling elements . This means going beyond just presenting numbers and charts and actually telling a story with your data .

Start by identifying the main message or insight you want to communicate and structure your visualization around that. Use clear titles and labels to guide the viewer through the story you’re trying to tell.

Consider using annotations or callouts to highlight key points or trends in the data. And don’t be afraid to use color or visual cues to evoke emotions and engage the viewer on a deeper level.

Case Studies: Examples of Effective Pie Charts and Data Visualizations

Explore real-world examples of impactful pie charts and data visualizations that have successfully communicated insights. Learn valuable lessons from these case studies and discover how to apply the insights gained to improve decision-making in your own business.

Real-world examples of impactful pie charts

Real-world examples can demonstrate the impact of using pie charts effectively in data visualization. For example, a company can use a pie chart to show the market share of different competitors in an industry.

The size of each slice represents the percentage of market captured by a specific competitor, allowing decision-makers to quickly understand the competitive landscape . Another example is using a pie chart to represent survey results on favorite ice cream flavors .

By showing the distribution of responses as slices, it becomes easy to see which flavors are most popular among respondents. These real-world examples highlight how pie charts can effectively communicate insights and make data more accessible for decision-making.

Lessons learned from successful data visualizations

Successful data visualizations teach us valuable lessons about effectively communicating insights . By studying examples of impactful pie charts and other data visualizations, we can learn how to present information in a way that is clear, concise, and easy to understand .

These successful visualizations show us the importance of using color, labels, and titles effectively to guide the viewer’s attention. They also demonstrate the power of incorporating storytelling elements into our presentations, helping to create an emotional connection with the audience.

Through these lessons, we can improve our own data visualization skills and make more informed business decisions based on the insights gained from analyzing data.

Applying insights to improve business decision-making

To make better business decisions, it’s important to apply the insights gained from data analysis. By visualizing data in effective ways, you can communicate key trends and information that will guide critical decision-making processes.

When using pie charts and other data visualization techniques, it’s crucial to present the information in a way that people can easily understand. This includes using clear labels, colors, and titles to highlight important points.

Additionally, incorporating storytelling elements into your visualizations can help create impactful presentations that resonate with your audience. Overall, by effectively applying insights through data visualization, you can improve business decision-making and drive positive outcomes for your organization.

In conclusion, pie charts and data visualization are powerful tools for communicating insights in a impactful way . By understanding when to use pie charts , avoiding common misuses , and incorporating design principles, color, and storytelling elements effectively, we can create visual representations that engage viewers and help them make informed decisions .

With the right approach, pie charts can be a valuable tool in analyzing data and presenting insights with impact.

1. What are pie charts in data visualization?

Pie charts become a part of basic data visualization. They show the whole into parts with numbers in percentages.

2. Why do some people hate pie charts?

Some people don’t like pie charts because they think it’s hard to see object dimensions and common data visualization techniques work better.

3. Can analyzing data with Pie Charts help make critical decisions?

Yes! By visualizing data insights, it can show clear paths for making very important choices.

4. How can I present my data with impact using Pie Charts?

You create an impactful look by focusing on presenting your details clearly and choosing effective color use.

5. Are there other chart types apart from Pie Charts for effective communication?

Yes, many other chart types exist beyond the basic ones like bar graphs and line plots that also give good results when showing facts.

Bernadette Bautista

About the author

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• Insert a pie chart Video
• Customize a pie chart Video
• Insert a linked Excel pie chart Video

Insert a pie chart

Quickly add a pie chart to your presentation, and see how to arrange the data to get the result you want. Customize chart elements, apply a chart style and colors, and insert a linked Excel chart.

Add a pie chart to a presentation in PowerPoint

Use a pie chart to show the size of each item in a data series, proportional to the sum of the items. When you need a pie chart in a presentation, use PowerPoint to create it or, if you prefer, create the chart in Excel, and copy it into PowerPoint (see Copy an Excel chart to another Office program ). Here’s how:

Click INSERT > Chart .

Click the chart type, and then double-click the chart you want. For help deciding which chart is best for your data, see Available chart types .

In the spreadsheet that appears, replace the default data with your own information.

When you have finished, close the spreadsheet.

Change the format of data labels in a chart

Copy an Excel chart to another Office program

Use a pie chart to show the size of each item in a data series, proportional to the sum of the items.

In this pie chart, the data series consists of Sales Order Amounts.

Each Salesperson’s total is shown as a percentage of Total Orders.

The categories for the data are the Salespeople themselves, and the legend shows their Names, color-coded to their slices in the pie.

PowerPoint has great charting tools for creating a pie chart, which typically shows simple, straightforward data.

If, however, you prefer creating charts in Excel, create the pie chart there, and copy it into PowerPoint, keeping a link to the original, if you want.

We cover this in Movie 3: Insert a linked Excel pie chart.

To create a pie chart in PowerPoint, on the HOME tab, click the arrow next to New Slide , and Blank to insert a blank slide.

Then click INSERT , Chart , and choose Pie .

The default chart is a standard pie chart. I’ll point to it for a larger preview.

That’s what I want, so I’ll click OK .

The chart is inserted, and a small window, with placeholder data, appears. We’ll type our data here.

So, we can see the chart better. I’ll resize the window by pointing to an edge and dragging the two-headed arrow cursor.

We’ll start by typing the Names of the Salespeople, which go in the category column, where Quarters appear by default.

I’ll click the first cell and type: Briggs, then Dyer, Rose, and all the names. Then, I press Enter.

The Names appear as the legend in the chart.

We’ll type our data, the individual Order Amounts, in the next column.

To start, let’s change the heading to Order Amounts, and press Enter.

To make the B column look right in the data window, I’ll point to its edge and double-click.

That widens the cell to fit the heading.

Note that, in the chart, the title reflects the new heading.

Next, we’ll type in the Sales data, which determines how the pie is divided.

For Briggs, I’ll type the Order Amount, and press Enter.

Then I do the same with the others. For Dyer, it’s 1963. The chart updates as I add data.

I have typed in the Order Amount for each Salesperson, and the pie is divided accordingly.

Since I am finished adding data, I’ll click X to close the data window.

Up next: Customize a pie chart .

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Pie Chart Infographics

Free google slides theme, powerpoint template, and canva presentation template.

Pie charts are powerful visual tools, and you can use them to represent and compare percentages or proportions. They are useful when presenting data about your company, when describing your buyer persona, or even for medical or educational topics. They look like pies or even donuts, and each element represents a slice. Yummy!

Features of these infographics

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• Include icons and Flaticon’s extension for further customization
• Designed to be used in Google Slides, Canva, and Microsoft PowerPoint and Keynote
• 16:9 widescreen format suitable for all types of screens
• Include information about how to edit and customize your infographics

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• Mode in Statistics | Definition, Formula and Examples
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• Difference between Correlation and Regression

Pie Chart is a pictorial representation of the data. It uses a circle to represent the data and is hence also called a Circle Graph. In a Pie Chart, we present the data by dividing the whole circle into smaller slices or sectors, and each slice or sector represents specific data.

In this article, we will learn about Pie Charts, Steps to Create Pie Charts, Examples, and Others in detail. The image added below shows a pie chart.

Table of Content

What is Pie Chart?

Pie chart examples, pie chart formula, how to make pie chart, how to read pie chart, pie chart vs bar graph, pie chart advantages, pie chart disadvantages, uses of pie chart.

• What is Population Pie chart?

Practice Questions on Pie Charts

A pie chart is a pictorial or graphical representation of data in chart format. A pie chart uses a circle or sphere to represent the data, where the circle represents the entire data, and the slices represent the data in parts.

Pie chart is one of the easiest ways to present and understand the given data, and pie charts are used very commonly. For example, pie charts are used in excel very often.

Pie Chart Definition

There are different ways of data representation . A pie chart is one of the types of charts in which the data is represented in a circular shape. The pie chart circle is further divided into multiple sectors/slices; those sectors show the different parts of the data from the whole.

Pie charts, also known as circle graphs or pie diagrams, are very useful in representing and interpreting data. The data can be compared easily with the help of a pie chart. Below is an example of a pie chart explained in detail.

Types of Pie Chart

There are various variation or types of pie chart, some of the common types include:

• 3D Pie Chart: A 3D pie chart adds depth to the traditional two-dimensional pie chart by rendering it in three dimensions.
• Doughnut Chart: A doughnut chart is similar to a pie chart but with a hole in the center.
• Exploded Pie Chart: In an exploded pie chart, one or more slices are separated from the rest of the pie to emphasize their importance or to make them stand out.
• Nested Pie Chart: Also known as a multi-level pie chart or hierarchical pie chart, this type of chart consists of multiple rings of pie charts, with each ring representing a different level of data hierarchy.
• Ring Chart: A ring chart is similar to a doughnut chart but consists of multiple rings instead of just one. Each ring represents a different category of data, with the size of each segment within the ring corresponding to its proportion of the whole.

Check : Pie Chart in MATLAB

Let’s take a look at an example for a better understanding of pie charts. In a class of 200 students, a survey was done to collect each student’s favorite sports. The pie chart of the data is given below:

Since the pie chart is provided and the total number of students is given, we can easily take the original data out for each sport. 

• Cricket = 17/100 × 200 = 34 students
• Football = 25/100 × 200 = 50 students
• Badminton = 12/100 × 200 = 24 students
• Hockey = 5/100 × 200 = 10 students
• Other = 41/100 × 200 = 82 students

The original data for the pie chart shown above is given below:

The total value or percentage of the pie is 100% always. Here it contains different sectors and segments in which each sector or segment of the chart corresponds to a certain portion of the net or total percentage (or data). The total or sum of all the data can be summed up to 360 degrees.

• Converting the data into degrees on a pie chart. The formula for a pie chart can be summed up as:

(Given Data / Total Value of Data) × 360°

• Calculating the percentage of each sector from degrees in a pie chart.

To work out with degrees in a pie chart, we need to follow the following steps:

• First, we need to measure every slice of the chart.
• Then we need to divide it by 360°.
• Finally, multiply the obtained result by 100.

The pie chart formula is given below:

(Frequency)/(Total Frequency) × 100

Calculating Number of Sectors on a Pie Chart

To calculate the total number of slices or sectors on a pie chart, we need to multiply the sector’s percentage by the total value of the data and finally divide the result by 100.

We will learn how to create a pie chart step by step with the help of an example. A teacher surveyed a group of students to see what their favorite hobby of each student is. Let’s take a look at the pie chart example with an explanation. The data collected is listed as follows:

Now we will see how to construct a pie chart step by step.

Step 1: The first step requires us to write down the available data in tabular form as follows:

Step 2: Now find the sum of all the given data. Here, the Sum of All Data = (16 + 20 + 10 + 30 + 24) = 100

Step 3: Now, calculate the percentage of each sector. We need to divide each sector value by the sum or total and then multiply it by 100.

Step 4: Next step is to calculate the degrees corresponding to each slice. The values can be calculated as:

Central Angle of Each Component = (Given Data / Total Value of Data) × 360

Hence, The values are as follows:

Step 5: Now, with the help of a protractor, we will measure each angle from a single point or central point and draw the circle’s sectors. The resultant pie chart will be:

In order to read a pie chart, the first thing to notice is the data presented in the pie chart. If the data is given in percentage, it should be converted accordingly in order to analyze and interpret the data. Let’s take a look at an example in order to learn how to interpret pie charts.

Example: In a survey done among 300 people, it was observed which type of genre each person prefers. The pie chart of the same is mentioned below. Analyze and interpret the pie chart accordingly to find the original data.

While observing the pie chart, it came to notice that the data is present in percentage. Let’s convert the data to obtain the original value. Number of people who like comedy = 20/100 × 300 = 60 people. Number of people who like action = 25/100 × 300 = 75 people. Number of people who like romance = 30/100 × 300 = 90 people. Number of people who like drama = 5/100 × 300 = 15 people. Number of people who like sci-fi = 20/100 × 300 = 60 people.

The key difference between pie chart and bar graph are listed in the following table:

Pie Chart is very useful for finding and representing data. Various advantages of the pie chart are,

• Pie chart is easily understood and comprehended.
• Visual representation of data in a pie chart is done as a fractional part of a whole.
• Pie chart provides an effective mode of communication to all types of audiences.
• Pie chart provides a better comparison of data for the audience.

There are some disadvantages also of using pie charts and some of them are added below,

• In the case of too much data, this presentation becomes less effective using a pie chart.
• For multiple data sets, we need a series to compare them.
• For analyzing and Assimilating the data in a pie chart, it is difficult for readers to comprehend.

Whenever a fraction or fractions are represented as a part of the whole, pie charts are used. Pie charts are used to compare the data and to analyze which data is bigger or smaller. Hence, while dealing with discrete data, pie charts are preferred. Let’s take a look at the uses of the pie chart:

• Pie charts are used to compare the profit and loss in businesses.
• In schools, the grades can be easily compared using a pie chart.
• The relative sizes of data can be compared using a pie chart.
• The marketing and sales data can be compared using a pie chart.

Measurement of Angles Bar Graph and Histogram

Example 1: The given pie chart shows the subject of interest of each student in a class.

Answer the following question concerning the given pie diagram.

• If 30 students’ subjects of interest are history, how many total students were surveyed?
• Which subject is liked the most?
• Which subject is disliked the most?

1. According to the given question, 8% of the total number of students is 30. i.e. (8/100) x Total = 30 Therefore, Total = 30 x (100/8) = 375 Hence 375 students were surveyed. 2. According to the given pie chart, science is liked the most. 3. According to the given pie chart, history is disliked the most.

Example 2: For a science camp, students from different states have enrolled. Construct a pie chart for the given table:

Step 1: The first step requires us to jot down the available data into tabular form as follows: West Bengal Assam Tamil Nadu Gujarat Karnataka 10 5 5 10 10 Step 2: The next task is to calculate the sum of all the given data. Here, the Sum of All Data = (10 + 5 + 5 + 10 + 10) = 40 Step 3: Now, the next task is to calculate the percentage of each sector. We need to divide each sector value by the sum or total and then multiply it by 100. West Bengal Assam Tamil Nadu Gujarat Karnataka (10/40) × 100 = 25% (5/40) × 100 = 12.5% (5/40) × 100 = 12.5% (10/40) × 100 = 25% (10/40) × 100 = 25% Step 4: Next step is to calculate the degrees corresponding to each slice. The values can be calculated as: West Bengal Assam Tamil Nadu Gujarat Karnataka (10/40) × 360 = 90 (5/40) × 360 = 45 (5/40) × 360 = 45 (10/40) × 360 = 90 (10/40) × 360 = 90 Step 5: Now, with a protractor’s help, we will measure each angle from a single point or central point and draw the circle’s sectors. The resultant pie chart will be:

Example 3: A pie chart is divided into four parts, and the values are given as x, 3x, 4x, and 4x. Find the value of x in degrees.

As it is known that a pie chart has 360°. Therefore, if all the angles are added, it will give 360°. x + 3x + 4x + 4x = 360° 12x = 360° x = 30°

What i s Population Pie chart?

The population pie chart is the pie chart that represent the population of any area and the population pie chart of the world is shown in the image added below,

Q1. Students selected for ISRO visit from various states are given in the table below. Represent them in a pie chart.

Q2. marks scored by kabir in an exam in various subject is shown in the table below show a pie chart representing the same., related links.

• Plot a pie chart in Python using Matplotlib
• Pie Diagrams | Meaning, Example and Steps to Construct
• How to create a Pie Chart using HTML & CSS
• How to Make a Pie Chart in Excel
• R – Pie Charts
• Real Life Applications of Pie Chart
• Chart.js Doughnut and Pie Charts
• How to add a Pie Chart into an Android Application

Conclusion of Pie Chart

Pie charts are useful graphical tools for showing data distribution in an understandable way . These are circular diagrams that have been segmented into sectors, each of which represents a percentage or fraction of the entire dataset. Pie charts help viewers rapidly understand distribution patterns by effectively communicating the relative sizes of various categories or components within a dataset. They are frequently used in publications, reports, and presentations in a variety of sectors, including business, finance, statistics, and education

Pie Chart – FAQs

Define pie chart..

Pie chart is the visual representation in which a circle graph is used to represent the values according to numbers, percentages, and degrees.

What is the Formula for Pie Chart?

To calculate the percentage of the given data, the formula used: (Frequency ÷ Total Frequency) × 100 Converting data into degrees: (Given Data ÷ Total Data) × 100

What are Examples of Pie Chart?

There are many examples of pie chart as pie chart is often used for visual representation. Following are some of the real-life examples: Representation of marks obtained by students. The marketing and sales data is obtained by using a pie chart. The profit and loss endured by a business can be represented by a pie chart.

What are the Uses of Pie Graph?

Pie charts are used for various purposes and various uses of pie chart are, It is used to represent various types of data. It is used to show data of various demographics. It is used to represent various objects of sales, marketing, and others, etc.

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Pie charts are ideal for illustrating the composition of a whole, revealing the distribution of individual parts, or comparing the shares of various categories. They are applicable in numerous situations, such as market share analysis, budget allocation, customer segmentation, or resource management. In your presentation slides, they will bring focus and visual interest to your data, supporting your main points and enhancing your narrative.

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• Math Article

A pie chart is a type of graph that represents the data in the circular graph. The slices of pie show the relative size of the data, and it is a type of pictorial representation of data . A pie chart requires a list of categorical variables and numerical variables. Here, the term “pie” represents the whole, and the “slices” represent the parts of the whole. 

What is a Pie Chart?

The “ pie chart” is also known as a “circle chart”, dividing the circular statistical graphic into sectors or sections to illustrate the numerical problems. Each sector denotes a proportionate part of the whole. To find out the composition of something, Pie-chart works the best at that time. In most cases, pie charts replace other graphs like the bar graph, line plots, histograms, etc .

The pie chart is an important type of data representation. It contains different segments and sectors in which each segment and sector of a pie chart forms a specific portion of the total(percentage). The sum of all the data is equal to 360°.

The total value of the pie is always 100%.

To work out with the percentage for a pie chart, follow the steps given below:

• Categorize the data
• Calculate the total
• Divide the categories
• Convert into percentages
• Finally, calculate the degrees

Therefore, the pie chart formula is given as

(Given Data/Total value of Data) × 360°

Note: It is not mandatory to convert the given data into percentages until it is specified. We can directly calculate the degrees for given data values and draw the pie chart accordingly.

How to Create a Pie Chart?

Imagine a teacher surveys her class on the basis of favourite Sports of students:

The data above can be represented by a pie chart as following and by using the circle graph formula, i.e. the pie chart formula given below. It makes the size of the portion easy to understand.

Step 1 : First, Enter the data into the table.

Step 2 : Add all the values in the table to get the total.

I.e. Total students are 40 in this case.

Step 3 : Next, divide each value by the total and multiply by 100 to get a per cent:

Step 4 : Next to know how many degrees for each “pie sector” we need, we will take a full circle of 360° and follow the calculations below:

The central angle of each component = (Value of each component/sum of values of all the components)✕360°

Now you can draw a pie chart.

Step 5 : Draw a circle and use the protractor to measure the degree of each sector.

Let us take an example for a pie chart with an explanation here to understand the concept in a better way.

Question: The percentages of various cops cultivated in a village of particular distinct are given in the following table.

Represent this information using a pie-chart.

The central angle = (component value/100) × 360°

The central angle for each category is calculated as follows

Now, the pie-chart can be constructed by using the given data.

Steps to construct:

Step 1: Draw the circle of an appropriate radius.

Step 2: Draw a vertical radius anywhere inside the circle.

Step 3: Choose the largest central angle. Construct a sector of a central angle, whose one radius coincides with the radius drawn in step 2, and the other radius is in the clockwise direction to the vertical radius.

Step 4: Construct other sectors representing other values in the clockwise direction in descending order of magnitudes of their central angles.

Step 5: Shade the sectors obtained by different colours and label them as shown in the figure below.

Pie Chart Maker

Till now you understood how to draw a pie chart for the given data using geometric tools. In this section, you will know how to make the pie chart using an online tool. People often use a graphing feature in excel sheets to get the desired pie chart. However, we have provided an online pie chart maker.

Click here to get the pie chart calculator .

How to Solve Pie Chart Questions?

In this section, you will learn how to solve or interpret the pie chart to get the original values. For this, we need to check whether the given chart is given in percentages, degrees or without any value. Based on this information, we can solve the questions related to pie charts. Let’s have a look at the solved example to understand this thoroughly.

The pie-chart shows the marks obtained by a student in an examination. If the student secures 440 marks in all, calculate the marks in each of the given subjects.

The given pie chart shows the marks obtained in the form of degrees.

Given, total marks obtained = 440

i.e. 360 degrees = 440 marks

Now, we can calculate the marks obtained in each subject as follows.

Marks secured in mathematics = (central angle of maths/ 360°) × Total score secured

= (108°/ 360°) × 440 = 132 marks

 Marks secured in science = (central angle of science / 360°) × Total score secured

= (81°/ 360°) × 440 = 99 marks

Marks secured in English = (central angle of English/ 360°) × Total score secured

= (72°/ 360°) × 440 = 88 marks

Marks secured in Hindi = (central angle of Hindi / 360°) × Total score secured

= (54°/ 360°) × 440 = 66 marks

Marks secured in social science = (central angle of social science / 360°) × Total score secured

= (45°/ 360°) × 440 = 55 marks

This can be tabulated as:

A pie chart can be used to represent the relative size of a variety of data such as:

• The type of houses (1bhk, 2bhk, 3bhk, etc.) people have
• Types of 2 wheelers or 4 wheelers people have
• Number of customers a retail market has in all weekdays
• Weights of students in a class
• Types of cuisine liked by different people in an event
• Monthly expenditure of a family, etc.

Uses of Pie Chart

• Within a business, it is used to compare areas of growth, such as turnover, profit and exposure.
• To represent categorical data.
• To show the performance of a student in a test, etc.

Also, check some important topics here:

• The picture is simple and easy-to-understand
• Data can be represented visually as a fractional part of a whole
• It helps in providing an effective communication tool for the even uninformed audience
• Provides a data comparison for the audience at a glance to give an immediate analysis or to quickly understand information
• No need for readers to examine or measure underlying numbers themselves, which can be removed by using this chart
• To emphasize a few points you want to make, you can manipulate pieces of data in the pie chart

Disadvantages

• It becomes less effective if there are too many pieces of data to use
• If there are too many pieces of data. Even if you add data labels and numbers may not help here, they themselves may become crowded and hard to read
• As this chart only represents one data set, you need a series to compare multiple sets
• This may make it more difficult for readers when it comes to analyze and assimilate information quickly

You can practice another pie chart question for Class 8, given below:

Practice Problem

Question: Priya lists down her monthly expenditure as follows:

Draw a pie chart for her monthly expenses.

Frequently Asked Questions – FAQs

What is a pie chart, why do we use pie charts, how to calculate the percentage of data in the pie chart, how to find the total number of pieces of data in a slice of a pie chart, what are the examples of a pie chart.

Put your understanding of this concept to test by answering a few MCQs. Click ‘Start Quiz’ to begin!

Select the correct answer and click on the “Finish” button Check your score and answers at the end of the quiz

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[Updated 2023] 20 Pie Chart Templates to Draw Intuitive Comparisons

Nawsheen Muzamil

We all understand that effective communication is essential for success, but have you ever considered how graphical, or infographic data may be used as a communication tool? Yes, it sounds exciting to note that communicating while sharing data is one of the most common business practices.

You understand sales, expenses, revenues etc. while using graphics like pie charts or any other visual. Pie charts are frequently used to show proportions among various categories, including expenses, demographic groups, and survey results, in business presentations and education. It enables the viewer to swiftly absorb information or perform an immediate analysis by allowing them to compare facts easily.

Pie charts' key advantage is that they are simple to understand. They make it easy to compare data quickly and simplify complex data efficiently.

 Another advantage of pie chart is its ability to present facts into a concise manner that may be used as a component of a bigger narrative. Additionally, a pie chart can be used to assess corporate growth in areas like revenue, benefits, and exposure.

Use our pre-made pie chart presentation templates for summarizing your long data adequately and understandably.

Template 1 – Comparison Pie Chart Arrangement Residential Industry Agriculture Branding Web Design 

This is a content-ready PowerPoint template for businesses looking to present complex data in a visually appealing and easily digestible format. With our irresistible pie chart templates, showcase sales figures, market share, budget allocations, and more. These dynamic visuals captivate your audience's attention and provide instant insights at a glance. Our pie chart templates empower you to simplify complex information, make informed decisions, and effectively communicate your business's performance. Get ready to slice through the noise and present your data with confidence, clarity, and impact. It's time to let your numbers tell a compelling story with our ready to use pie chart templates.

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Template 2 – 3D Graphs Business Bar Chart and Pie Chart with Icons

Knowing about the growth and lows of the business is essential. Many of us fail to estimate it as some days we are not equipped with accurate data. However, there are no more worries about it as we have come up with new Pie chart template to allow you to manage your data and statistics properly. This comparison pie chart explains the sales of the product and services along to enhance the position of the business ahead.

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Template 3 – Donut Pie Chart Presentation Layouts 

Who doesn’t want to divide the work as per the need and time but often times fails to do so because of many tasks over loaded? Here we provide a quick fix to your schedule by launching Donut Pie Chart. SlideTeam's Donut Pie Chart assist in managing and presenting the data in a systematic order and nuanced way for a better understanding of the data. This Donut Pie Chart also allows you to segregate your product and its functionality based on percentage.

Template 4 – Three Divisions Pie Chart with Symbols

Cluttered data makes it complicated to understand the basis of any company and its objectives. Therefore, declutter your data and surround it with clarity with our amazingly built Pie chart slides. This Pie chart is actively designed to achieve all your goals and requirements for the company as  we have designed our Pie chart templates divided into three segments to generate responses based on products and services delivered. This Pie Chart templates showcases customer success, customer insights, and user experience to make room for improvement and better performance.

Template 5 – Drill Down Bar Graph to Pie Chart 

This template acts a double advantaged weapon to understand the data accurately in the form of graphs as well as in Pie Chart Format. Business professionals can use this template to illustrate about their project KPIs along with that they can track down their growth as well as communicate their insights with the stakeholders respectively.

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Template 6 – Multiple Pie Charts PowerPoint Template

This Pie chart template can be used to cover a variety of subjects. You can display your product market shares through the pie chart sales slide to promote your marketing expenses while quarterly showing the percentage to encourage growth. This PPT slideshow encourages strategic thinking and aids in the most effective delivery of your message.

Template 7 – Pie Charts Sales PowerPoint Template

Having statistical data for better organization of data and values turns fruitful for growth, so to teach all in one, we have designed a combined pie chart consisting of statistics plan for your monthly sales analysis, sales pie chart, region-wise pie chart, and product comparison along with it. All you must do is get this Pie Chart Sales Templates to escalate your growth right now.

Template 8 – Business Disaster Risk Cause Pie Chart 

The business know-how is always essential to understand. Therefore, SlideTeam brings you ready to use PowerPoint templates to help you create an evaluation strategy to minimize and manage the disaster and risks. It primarily consists of hardware, ransomware, human mistakes, and software failures. Deploy our collection of slides for the Business Disaster Risk Cause Pie Chart to safeguard your operations.

Template 9 – Pie Chart Assets Valuation Report Branding PowerPoint Slide Presentation

Use this Donut Pie Chart to understand different department of your company effectively while studying the statics of specific department. This Donut Pie chart helps you to comprehend and contemplate multiple aspects of growth. Get this Ppt template to speed up your business . 

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Template 10 – Software Budget Spend Pie Chart by Technology Start-ups.

It's essential to keep a note of your spending as it formulates and guides us for better savings and investments ahead. A company must undergo an assessment phase to review the network and related systems to produce lucrative results. To provide a proper mechanism, we have designed our software budget spend pie chart to organize and present the data appropriately in one place.

Download Here

Template 11 – Human Resource Budget Breakdown Pie Chart 

The HR budget is broken down by category on the slide to simplify identifying the main costs and areas for improvement. It has sections for pay and benefits, training and development, incentives, rewards, diversity & Inclusions etc. This Pie Chart Template assist to highlight the key insights about the budget allocation, employee management programmes while focusing on the learning and development aspects of the company.

Template 12 – Warehouse Inventory Carrying Cost Pie Chart 

You can choose when to modify your inventory management methods if you understand carrying cost definitions and components. This pie chart illustrates the various carrying costs of managing warehouse inventory. Expenses related to insurance, taxes, surveys, wages, store storage, shrinkage, etc., are included. Therefore, download this Content – ready PPT Template to keep tabs on your budget and expenditure to streamline your operations 

Template 13: Editable Pie Chart of Marketing Expenses Template. 

Marketing is yet another essential thing for running a business. To enable appropriate marketing practises while managing the budget is crucial. Here at SlideTeam we bring you with our latest build uniquely designed Pie chart for managing marketing expenses. It showcases not only the record about the events and campaigns to understanding the parameters of success but also offer other marketing expenses.  

Download here!

Template 14 – Business Expense Budget Allocation Pie Chart 

Business revenue and expenses formulate the growth of the business. To keep track of all your budget expenses and allow proper allocation of the financial expectation, we have developed this budget comparison pie chart to enable you to determine the salaries, taxes, hiring, marketing, etc. We are introducing our set of slides, which includes a pie chart showing the distribution of the business expense budget. This displays data on a particular process stage. This PowerPoint template is creatively created and simple to alter. 

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Template 15 – Data Visualization for Website Visits Using a Creative Pie Chart 

These data visualization pie charts is formerly designed to narrate growth and success while making it easier to understand by highlighting the trends. Use this ready – made PowerPoint Template and highlight marketing channels that’s stands valuable for your business. Display your growth percentage and outline the next strategic steps to reach audience as it showcases results that comprehends the socials, referrals, traffic, etc.

Template 16 – Pie Chart Professional Graphics Template

Use this pie chart template compare the performances of various departments in your company. You can visualize expenses with this PPT slide and calculate profit percentages. This slide shows the profit margin from three separate outlays and the associated sales.

Template 17 – Pie Chart PowerPoint Template 

Here is another template for a multi-set pie chart that allows you to compare any three key characteristics or variables of the object of your observation. With this PPT design, theoretical or computed shares can be displayed with 100% serving as the maximum value for each attribute. Additionally, it is self-explanatory, thanks to the icons, colors, and labels.

Template 18 – Pie Chart PowerPoint Slide.

This comparison pie chart lets you understand the status and ratio of product sales while allowing you to have monthly data. You can visualize expenses with this PPT slide and calculate profit percentages. This slide shows the profit margin from three separate outlays and the associated sales. Get this Pre- designed Ppt template to raise your business scale. 

Template 19 – Pie chart ppt PowerPoint Template 

Here is yet another popular PowerPoint template for delivering yearly reports. To show proportions, use this template for a donut pie chart. The segment proportions that can be further described in the labels are determined by the percentage numbers.

Template 20 – Business Marketing Team Expense Distribution Pie chart 

The distribution of various marketing costs is shown on the slide to plan spending and account for unforeseen circumstances. It comprises spending categories: salaries, equipment, office costs, learning and development, marketing channels, etc. We are introducing our premium collection of slides featuring a pie chart showing the distribution of business marketing team expenses. Use this PPT slide to elucidate the one stage and convey information. 

Excel Your Presentation with These Colorful Pie Charts 

Pie charts offer a lot of detail as they give a quick overview of a data set. Pie charts can be expanded to include more information by using numbers (such as percentages) in each segment or having a separate table as a resource. When the data content is vast, it can be challenging to compare different pie slices. Therefore, SlideTeam offers you to get your hands on their pre-designed Pie Charts that allow you to limit your trouble and escalate success. Pie charts are still typical graphics that most people can understand as they are still excellent at doing what they were designed: quickly selling a part-to-whole comparison goal.

FAQS on Pie Chart 

What is called a pie chart.

A pie chart uses a circular graph to display data visually. It is one of the most famous graphs used to depict data because it uses the characteristics of spheres, circles, and angular data to represent information from the actual world. A pie chart is circular, with the Pie representing all of the data and the slice representing everything.

How is the pie chart calculated?

Measure the angle of each slice, divide it by 360, and then multiply the result by 100 to determine the percentage each piece is worth. Multiply the rate each portion is worth by the total number of data sets to get the number of data points each slice represents.

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• Diagrammatic Presentation of Data

Nowadays a lot of emphases is laid upon exceptional presentation of data.  All of this is because, when presented diagrammatically, data is easy to interpret with just a glance. In such a case we need to learn how to represent data diagrammatically via bar diagrams, pie charts etc.

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Bar diagrams.

As the name suggests, when data is presented in form of bars or rectangles , it is termed to be a bar diagram.

Features of a Bar

• The rectangular box in a bar diagram is known as a bar. It represents the value of a variable .
• These bars can be either vertically or horizontally arranged.
• Bars are equidistant from each other.
• Each bar originates from a common baseline or a common axis.
• The width of bars remain same but the height changes, according to the value of a variable, to denote the difference between their values.
• Unless they are in a specific order, the convention is that bars can be arranged in an ascending or descending order.

Browse more Topics under Presentation Of Data

• Textual and Tabular Presentation of Data

Types of Bar Diagrams

Simple bar diagram.

These are the most basic type of bar diagrams. A simple bar diagram represents only a single set of numerical data. Generally, simple bar diagrams are used to represent time series data for a single entity.

Generally, the Y-axis contains markings which represent the range of the value of variable whereas the X-axis contains divisions for entities like years, time periods, areas etc.

Multiple Bar Diagram

Unlike single bar diagram, a multiple bar diagram can represent two or more sets of numerical data on the same bar diagram. Generally, these are constructed to facilitate comparison between two entities like average height and average weight, birth rates and death rates etc.

Separate sets of numerical data are differentiated with the help of colour variation. By the same token of simple bar diagrams, multiple bar diagrams also have divisions on Y-axis and X-axis that represent different values of the variable and entities like year, areas etc. respectively. Note that each division on X-axis has two or more bar diagrams each according to the specified number of bars.

Sub-divided or Differential Bar Diagrams

Sub-divided bar diagrams are useful when we need to represent the total values and the contribution of various sections of the total simultaneously. The different sections are shaded with different colours in the same bar.

For example, such a bar diagram can be used to represent the varying levels of employment over the years in India and each bar can be divided into two sectors, the urban and rural. Again, here the Y-axis and X-axis represent same values as in simple and multiple bar diagrams.

Percentage Bar Diagrams

This is derived further from the subdivided bar diagrams. In this, each bar has the same height that represents 100 percent of the Y-axis in totality. Further, each bar is divided into sections based on percentages calculated according to the contribution of these sections.

Percentage bar diagrams are used when the values are really high. This is because using subdivided bar diagrams in such cases would not be easy and appropriate.

Deviation Bar Diagrams

Lastly, the deviation bar diagrams are most interesting of the lot. In such a type of bar diagram, there are both negative and positive values on the y-axis. The deviation bar diagrams are used to compare the net deviation of related variables with respect to time and location.

For example, it can be used to represent a bar diagram for savings (represented by positive deviations) and deficit (represented by negative deviations) over years.

Pie or Circular Diagrams

In addition to bar diagrams, pie diagrams are also widely used to pictorially represent data. In this, a circle is divided into various segments which are decided on the basis of percentages. Which means the circle is divided into sectors depending on various percentages.

These sectors are differentiated with the help of colours. Pie diagrams have an edge over bar diagrams because they can easily provide an overview and provides a better sense of contributions of each part. The steps for construction of a pie diagram are:

The first step involves finding out respective percentages. This is done by a simple mathematical formula to find out percentages which is –

{(Parts for the respective sector)/total parts) ×100} .

For example, if in a class of 1oo students, 30 are obese, 20 are fat and 50 are slim then the percentages will be as follows:

(30/100) × 100= 30%

(20/100) × 100= 20%

(50/100) × 100= 50%

2] A circle comprises 360 degrees. The angles that each sector will span across is decided by the given formula: (Percentage value/100)×360°

3] Finally, just plot these values according to their respective angles on a circle and give appropriate markings to complete the pie chart.

A Solved Example for You

Q:   Which among the following is not a feature of a bar in the bar diagram?

• The width is same but the heights are generally different
• They are rectangular in shape
• Bars should not be equidistant
• Each bar originates from a common baseline

Ans:   Of all the above options, option C is incorrect because conventionally the bars should be equidistant.

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Google Slides Embed: How to Embed Charts & Keep Them Live

Published: April 27, 2024 - 3 min read

Pie charts are a visually appealing and easy-to-understand way to present data in Google Slides presentations. However, editing and keeping these charts up-to-date can be a challenge.

In this blog post, you’ll learn how to embed pie charts in Google Slides and keep them live using Coefficient, ensuring your data is always current and accurate.

Why Use Pie Charts in Google Slides?

Before diving into the embedding process, let’s explore the benefits of using pie charts in your Google Slides presentations:

• Visual Appeal : Pie charts are eye-catching and can make your data more engaging and memorable for your audience.
• Easy to Understand : The circular nature of pie charts makes it simple for viewers to grasp the proportions and relationships between different categories or segments.
• Quick Comparisons : Pie charts enable your audience to make quick comparisons between various data points, helping them identify key insights at a glance.
• Storytelling : By emphasizing specific slices or using colors strategically, you can use pie charts to tell a compelling story with your data.

Step-By-Step Guide: How To Embed And Edit A Pie Chart In Google Slides

Step 1. Create a pie chart in Google Sheets

Open a new or existing Google Sheets spreadsheet and enter your data.

Select the data and click “Insert” > “Chart.”

Choose “Pie chart” from the chart types.

Step 2. Embed the pie chart in Google Slides

Open Google Slides, head to the top navigation and click “Insert” > “Chart” > “From Sheets.”

Select the Google Sheets file and the pie chart you want to embed.

Select “Insert” > “Import” to continue.

Step 3. Edit chart data

Click the embedded pie chart in Google Slides and select “Open source.”

Open the Google Sheets spreadsheet you created in step 1.

Make the necessary changes to the data in the spreadsheet. Once you’re done, go back to your Google Slides presentation. You’ll see that the chart has been automatically updated to reflect the changes you made in the spreadsheet.

Step 4. Keep your pie chart live with Coefficient

Scenario: The night before, a few high-value deals unexpectedly close. You forget to update your Google Slides charts, leading to awkward questions from the CEO.

Stop exporting data manually. Sync data from your business systems into Google Sheets or Excel with Coefficient and set it on a refresh schedule.

With Coefficient , your embedded pie chart in Google Slides will automatically update whenever your linked data changes, ensuring you can present with confidence. Here’s how it works.

Install the Coefficient add-on for Google Sheets and connect to your desired data source, such as Salesforce or HubSpot.

Import the relevant data set into the Google Sheets spreadsheet linked to your pie chart.

Set up an automatic data refresh schedule: hourly, daily, or weekly.

Create a pie chart and embed it into your Google Slides presentation like above.

Your embedded pie chart in Google Slides will now update automatically whenever the linked data changes

Tips For Creating Effective Pie Charts In Google Slides

• Keep it simple: Limit the number of slices to make your pie chart easy to read
• Use contrasting colors: Ensure each slice is distinguishable from the others
• Include data labels and percentages: Make it easy for your audience to understand the data
• Highlight the most important slice: Draw attention to the key takeaway from your data

Embed Charts in Googles Slides and Keep Them Live with Coefficient

Embedding and editing pie charts in Google Slides is a straightforward process that can greatly enhance your presentations. By following the steps outlined in this blog post and using Coefficient to keep your charts live, you’ll ensure that your data is always accurate and up-to-date.

Start creating compelling, data-driven presentations today with Google Slides and Coefficient. Get started with Coefficient now .

Connect Google Sheets or Excel to your business systems, import your data, and set it on a refresh schedule.

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Create a Pie Chart Graphic in PowerPoint

Pie charts show proportions of the whole

• Brock University

In This Article

Jump to a Section

• Create a Pie Chart
• Choose a Style

The Generic Pie Chart and Data

• Edit the Data
• The Updated Pie Chart

Create a pie chart in PowerPoint to visually demonstrate proportions of a whole. After you've created the basic chart, adjust the chart's data, alter its style, and update it on the fly.

Information in this article applies to PowerPoint 2019, 2016, and 2013; PowerPoint for Microsoft 365; and PowerPoint for Mac.

Create a Pie Chart in PowerPoint

Begin by adding a new slide  using the  Title and Content  slide layout. Then, select the  Insert Chart  icon (it's the middle icon on the top row of the group of six icons shown in the body of the slide layout).

Another way to add a pie chart is to choose a blank slide in your presentation and select Insert  >  Chart .

Choose a Pie Chart Style

In the Insert Chart dialog box, select Pie and choose a pie chart style. There are several style of pie charts. Options include flat pie shapes, 3D pie shapes, and pie charts with  exploded pieces . Select OK  after you have made your selection.

The pie chart styles and colors can be changed after the chart is created.

When you create a pie chart on a PowerPoint slide, the basic chart appears on the slide and the chart data appears in a worksheet window.

If you don't see the worksheet window, select the chart and select Chart Tools Design > Edit Data .

You'll use the worksheet window to enter data for the pie chart by replacing the default data.

Edit the Pie Chart Data

Pie charts display comparative types of data, such as percentage figures for how much each of your monthly household expenses takes from your income. However, pie charts display one type of data, unlike column charts or line charts.

To edit the data in the worksheet window:

Select the worksheet window to make it the active window.

Edit the heading of the  column  in the generic data to reflect your own information.

Edit the row headings in the generic data to reflect your own information. The chart updates to reflect your changes.

To add new data rows, drag a corner handle of the highlighted data set.

Updated Pie Chart Reflects New Data

After you change the generic data to your own specific data, the information is immediately reflected in the pie chart. Add a title for your slide into the text  placeholder  at the top of the slide.

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The world’s electric car fleet continues to grow strongly, with 2024 sales set to reach 17 million

News 23 April 2024

Despite near-term challenges in some markets, based on today's policy settings, almost 1 in 3 cars on the roads in China by 2030 is set to be electric, and almost 1 in 5 in both United States and European Union

More than one in five cars sold worldwide this year is expected to be electric, with surging demand projected over the next decade set to remake the global auto industry and significantly reduce oil consumption for road transport, according to the new edition of the IEA’s annual Global EV Outlook .

The latest Outlook , published today, finds that global electric car sales are set to remain robust in 2024, reaching around 17 million by the end of the year. In the first quarter, sales grew by about 25% compared with the same period in 2023 – similar to the growth rate seen in the same period a year earlier, but from a larger base. The number of electric cars sold globally in the first three months of this year is roughly equivalent to the number sold in all of 2020.

In 2024, electric cars sales in China are projected to leap to about 10 million, accounting for about 45% of all car sales in the country. In the United States, roughly one in nine cars sold are projected to be electric – while in Europe, despite a generally weak outlook for passenger car sales and the phase-out of subsidies in some countries, electric cars are still set to represent about one in four cars sold.

This growth builds on a record-breaking 2023. Last year, global electric car sales soared by 35% to almost 14 million. While demand remained largely concentrated in China, Europe and the United States, growth also picked up in some emerging markets such as Viet Nam and Thailand, where electric cars accounted for 15% and 10%, respectively, of all cars sold.

Substantial investment in the electric vehicle supply chain, ongoing policy support, and declines in the price of EVs and their batteries are expected to produce even more significant changes in the years to come. The Outlook finds that under today’s policy settings, every other car sold globally is set to be electric by 2035. Meanwhile, if countries’ announced energy and climate pledges are met in full and on time, two in three cars sold would be electric by 2035. In this scenario, the rapid uptake of electric vehicles – from cars to vans, trucks, buses, and two- and three-wheelers –  avoids the need for around 12 million barrels of oil per day, on a par with current demand from road transport in China and Europe combined.

“The continued momentum behind electric cars is clear in our data, although it is stronger in some markets than others,” said IEA Executive Director Fatih Birol . “Rather than tapering off, the global EV revolution appears to be gearing up for a new phase of growth. The wave of investment in battery manufacturing suggests the EV supply chain is advancing to meet automakers’ ambitious plans for expansion. As a result, the share of EVs on the roads is expected to continue to climb rapidly. Based on today’s policy settings alone, almost one in three cars on the roads in China by 2030 is set to be electric, and almost one in five in both the United States and European Union. This shift will have major ramifications for both the auto industry and the energy sector.”

The report finds that manufacturers have taken major steps to deliver on the strengthening EV ambitions of governments, including by making significant financial commitments. Thanks to high levels of investment over the past five years, the world’s capacity to produce batteries for EVs is well positioned to keep up with demand, even as it rises sharply over the next decade. The pace of the transition to EVs may not be consistent and will hinge on affordability, the report emphasises.

In China, more than 60% of electric cars sold in 2023 were already less expensive to buy than their conventional equivalents. However, in Europe and the United States, the purchase prices for cars with internal combustion engines remained cheaper on average, though intensifying market competition and improving battery technologies are expected to reduce prices in the coming years. Even where upfront prices are high, the lower operating costs of EVs mean the initial investment pays back over time.

Growing electric car exports from Chinese automakers, which accounted for more than half of all electric car sales in 2023, could add to downward pressure on purchase prices. Chinese companies, which are also setting up production facilities abroad, have already seen strong sales of more affordable models launched in 2022 and 2023 in overseas markets. This highlights that the composition of the main EV-producing economies is diverging considerably from the traditional auto industry.

Ensuring that the availability of public charging keeps pace with electric vehicle sales is crucial for continued growth, according to the report. The number of public charging points installed globally was up 40% in 2023 relative to 2022, and growth for fast chargers outpaced that of slower ones. However, to meet a level of electric vehicle deployment in line with the pledges made by governments, charging networks need to grow sixfold by 2035. At the same time, policy support and careful planning are essential to make sure greater demand for electricity from charging does not overstretch electricity grids.

Accompanying the Global EV Outlook 2024 are the Global EV Data Explorer and the Global EV Policy Explorer . These online tools allow users to interactively explore EV statistics, projections and policy measures worldwide. 

Global EV Data Explorer

Explore historical and projected data on electric vehicles sales, stock, charging infrastructure and oil displacement.

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The Mental Health Toll of Covid-19 Appears to Be Fading

Impact of covid-19 pandemic on mental health.

Aside from killing 1.2 million Americans, putting millions in the hospital and wreaking havoc on the country’s economy, the Covid-19 pandemic also took a heavy toll on mental health . Data compiled by the U.S. Census Bureau and the National Center for Health Statistics clearly showed a spike in the prevalence of symptoms associated with anxiety and/or depressive disorder following the onset of the pandemic. These psychologial effects of Covid-19 even outlived the pandemic itself, as in March/April 2024, symptoms of anxiety or depression were still roughly twice as common as they were in April 2019. However, the latest results published by the National Center for Health Statistics indicate a positive trend, as the mental toll of the pandemic finally appears to be fading. In April 2024, 21 percent of respondents reported symptoms of anxiety or depression, down from 34 percent in October 2023 and from a peak of 43 percent in November 2020.

The latest findings are derived from the Household Pulse Survey, which has been launched to produce data on the social and economic impacts of Covid-19 on American households. Since April 2020, tens of thousands of Americans have been asked to complete the web survey in order to "gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness." Among other things, respondents were asked to report how often they have felt down, depressed, hopeless or anxious in the last week, how often they have been unable to stop worrying or shown little interest or pleasure in doing things – all symptoms that have been shown to be associated with diagnoses of generalized anxiety disorder or major depressive disorder.

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This chart shows the percentage of U.S. adults showing symptoms of anxiety and/or depressive disorder before and during the Covid-19 pandemic.

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The following outline provides a high-level overview of the FTC’s proposed final rule :

• Specifically, the final rule provides that it is an unfair method of competition—and therefore a violation of Section 5 of the FTC Act—for employers to enter into noncompetes with workers after the effective date.
• Fewer than 1% of workers are estimated to be senior executives under the final rule.
• Specifically, the final rule defines the term “senior executive” to refer to workers earning more than $151,164 annually who are in a “policy-making position.”
• Reduced health care costs: $74-$194 billion in reduced spending on physician services over the next decade.
• New business formation: 2.7% increase in the rate of new firm formation, resulting in over 8,500 additional new businesses created each year.
• This reflects an estimated increase of about 3,000 to 5,000 new patents in the first year noncompetes are banned, rising to about 30,000-53,000 in the tenth year.
• This represents an estimated increase of 11-19% annually over a ten-year period.
• The average worker’s earnings will rise an estimated extra $524 per year. 

The Federal Trade Commission develops policy initiatives on issues that affect competition, consumers, and the U.S. economy. The FTC will never demand money, make threats, tell you to transfer money, or promise you a prize. Follow the  FTC on social media , read  consumer alerts  and the  business blog , and  sign up to get the latest FTC news and alerts .

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What the New Overtime Rule Means for Workers

One of the basic principles of the American workplace is that a hard day’s work deserves a fair day’s pay. Simply put, every worker’s time has value. A cornerstone of that promise is the  Fair Labor Standards Act ’s (FLSA) requirement that when most workers work more than 40 hours in a week, they get paid more. The  Department of Labor ’s new overtime regulation is restoring and extending this promise for millions more lower-paid salaried workers in the U.S.

Overtime protections have been a critical part of the FLSA since 1938 and were established to protect workers from exploitation and to benefit workers, their families and our communities. Strong overtime protections help build America’s middle class and ensure that workers are not overworked and underpaid.

Some workers are specifically exempt from the FLSA’s minimum wage and overtime protections, including bona fide executive, administrative or professional employees. This exemption, typically referred to as the “EAP” exemption, applies when: 

1. An employee is paid a salary,  

2. The salary is not less than a minimum salary threshold amount, and 

3. The employee primarily performs executive, administrative or professional duties.

While the department increased the minimum salary required for the EAP exemption from overtime pay every 5 to 9 years between 1938 and 1975, long periods between increases to the salary requirement after 1975 have caused an erosion of the real value of the salary threshold, lessening its effectiveness in helping to identify exempt EAP employees.

The department’s new overtime rule was developed based on almost 30 listening sessions across the country and the final rule was issued after reviewing over 33,000 written comments. We heard from a wide variety of members of the public who shared valuable insights to help us develop this Administration’s overtime rule, including from workers who told us: “I would love the opportunity to...be compensated for time worked beyond 40 hours, or alternately be given a raise,” and “I make around $40,000 a year and most week[s] work well over 40 hours (likely in the 45-50 range). This rule change would benefit me greatly and ensure that my time is paid for!” and “Please, I would love to be paid for the extra hours I work!”

The department’s final rule, which will go into effect on July 1, 2024, will increase the standard salary level that helps define and delimit which salaried workers are entitled to overtime pay protections under the FLSA. 

Starting July 1, most salaried workers who earn less than $844 per week will become eligible for overtime pay under the final rule. And on Jan. 1, 2025, most salaried workers who make less than $1,128 per week will become eligible for overtime pay. As these changes occur, job duties will continue to determine overtime exemption status for most salaried employees.

The rule will also increase the total annual compensation requirement for highly compensated employees (who are not entitled to overtime pay under the FLSA if certain requirements are met) from $107,432 per year to $132,964 per year on July 1, 2024, and then set it equal to $151,164 per year on Jan. 1, 2025.

Starting July 1, 2027, these earnings thresholds will be updated every three years so they keep pace with changes in worker salaries, ensuring that employers can adapt more easily because they’ll know when salary updates will happen and how they’ll be calculated.

The final rule will restore and extend the right to overtime pay to many salaried workers, including workers who historically were entitled to overtime pay under the FLSA because of their lower pay or the type of work they performed. 

We urge workers and employers to visit  our website to learn more about the final rule.

Jessica Looman is the administrator for the U.S. Department of Labor’s Wage and Hour Division. Follow the Wage and Hour Division on Twitter at  @WHD_DOL  and  LinkedIn .  Editor's note: This blog was edited to correct a typo (changing "administrator" to "administrative.")

• Wage and Hour Division (WHD)
• Fair Labor Standards Act
• overtime rule

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