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Understanding Data Presentations (Guide + Examples)

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

Table of Contents

What is a Data Presentation?

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

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

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

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

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

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

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

Real-Life Application of Bar Charts

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

Step 1: Selecting Data

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

The sales manager has highlighted these products for the presentation.

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

Step 2: Choosing Orientation

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

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

Step 3: Colorful Insights

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

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

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

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

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

Real-life Application of Line Graphs

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

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

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

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

Step 3: Connecting Trends

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

Step 4: Adding Clarity with Color

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

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

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

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

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

Real-Life Application of a Dashboard

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

Step 1: Defining Key Metrics

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

Step 2: Choosing Visualization Widgets

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

Step 3: Dashboard Layout

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

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

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

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

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

Real-Life Application of a Treemap Chart

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

Step 1: Define Your Data Hierarchy

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

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

Step 2: Choose a Suitable Tool

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

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

Step 3: Make a Treemap Chart with PowerPoint

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

Step 5: Input Your Data

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

Step 6: Customize the Treemap

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

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

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

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

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

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

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

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

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

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

Real-Life Application of Pie Charts

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

Step 1: Define Your Data Structure

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

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

Step 2: Insert a Pie Chart

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

For instance:

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

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

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

Step 03: Results Interpretation

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

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

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

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

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

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

Real-Life Application of a Histogram

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

Step 1: Gather Data

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

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

Step 2: Define Bins

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

Step 3: Count Frequency

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

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

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

Step 4: Create the Histogram

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

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

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

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

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

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

Real-Life Application of Scatter Plot

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

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

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

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

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

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

1. Fact Sheet Dashboard for Data Presentation

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

Use This Template

2. 3D Column Chart Infographic PPT Template

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

3. Data Circles Infographic PowerPoint Template

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

4. Colorful Metrics Dashboard for Data Presentation

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

5. Animated Data Presentation Tools for PowerPoint & Google Slides

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

6. Statistics Waffle Charts PPT Template for Data Presentations

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

7. Data Presentation Dashboard Template for Google Slides

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

8. Weather Dashboard for Data Presentation

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

9. Social Media Marketing Dashboard Data Presentation Template

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

10. Project Management Summary Dashboard Template

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

11. Profit & Loss Dashboard for PowerPoint and Google Slides

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

Overwhelming visuals

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

Inappropriate chart types

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

Lack of context

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

Inconsistency in design

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

Failure to provide details

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

Lack of focus

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

Visual accessibility issues

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Data presentation: A comprehensive guide

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

Raja Bothra

Building presentations

Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

Whether you're an experienced presenter or just starting, this guide will help you present your data like a pro.

We'll dive deep into what data presentation is, why it's crucial, and how to master it. So, let's embark on this data-driven journey together.

What is data presentation?

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

Why are data presentations important?

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

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

Types of data presentation

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

1. Textual presentation

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

2. Tabular presentation

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

3. Graphical presentation

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

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

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

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

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

What to include in data presentation

When creating your data presentation, remember these key components:

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

How to structure an effective data presentation

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

1. Know your audience

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

2. Have a clear message

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

3. Tell a compelling story

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

4. Leverage visuals

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

5. Be clear and concise

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

6. Practice your delivery

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

A basic structure for an effective data presentation

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

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

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

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

Additional tips for enhancing your data presentation

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

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

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

Do’s and don'ts on a data presentation

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

Don'ts:

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

Summarizing key takeaways

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

1. What is data presentation, and why is it important in 2023?

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

2. What are some common methods of data presentation?

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

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

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

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

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

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

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

Create your data presentation with prezent

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

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

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

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

Thank you for joining us on this data-driven journey. Stay tuned for more insights, and remember, data presentation is your ticket to making numbers come alive!

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10 Superb Data Presentation Examples To Learn From

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

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

On this page:

How to present data effectively? Clever tips.

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

Download the above infographic in PDF

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

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

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

1. Keep it simple and clear

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

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

2. Pick up the right visuals for the job

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

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

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

3. Break the complex concepts into multiple graphics

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

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

4. Carefully choose the colors

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

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

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

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

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

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

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

6. Use good templates and software tools

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

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

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

10 Superb data presentation examples 

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

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

1. Sales Stage History  Funnel Chart 

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

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

2. Facebook Ads Data Presentation Examples

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

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

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

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

3. Sales Opportunity Data Presentation

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

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

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

4. Power 100 Data Visualization 

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

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

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

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

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

6. Digital Health Research Data Visualization Example

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

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

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

7. Disease Research Data Visualization Examples

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

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

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

8. Textual and Qualitative Data Presentation Example

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

9. Product Metrics Graph Example

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

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

10. Supply Chain Data Visualization Example 

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

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

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

About The Author

Silvia Valcheva

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

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Data Presentation Templates

Navigate through our curated selection of data presentation templates that are designed to add an amusing twist to your data. It's about making sense of numbers in a fun, visually appealing way.

Other presentation templates

• Pitch decks
• User persona
• Brand guidelines
• Professional
• Group project
• Valentine's day
• Book report
• Mother's day
• Father's day
• Visual chart
• Architecture
• Social media
• Advertising

Popular template categories

• Infographics
• White papers
• Letterheads
• Newsletters
• Business cards
• Human resources
• Certificates
• Invitations
• Table of contents
• Magazine covers
• Price lists
• Album covers
• Book covers
• See All Templates

How to Create Beautiful HTML & CSS Presentations with WebSlides

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Getting Started with WebSlides

Create a web presentation with webslides.

• Frequently Asked Questions (FAQs) about Creating Beautiful HTML & CSS Presentations with WebSlides

This article was peer reviewed by Ralph Mason , Giulio Mainardi , and Mikhail Romanov . Thanks to all of SitePoint’s peer reviewers for making SitePoint content the best it can be!

Presentations are one of the best ways to serve information to an audience. The format is short and sharp, made up of small, digestible chunks, which makes any topic under discussion engaging and easier to understand. A presentation can contain all kinds of data, represented by many different elements, such as tables, charts, diagrams, illustrations, images, videos, sounds, maps, lists, etc, all of which lends great flexibility to this medium of expression.

Particularly on the web, presentations come in handy on many occasions, and there are loads of tools at your disposal to create some nifty ones. Today, I’ll introduce you to WebSlides — a small and compact library with a nice set of ready-to-use components, which you can leverage to build well-crafted and attractive web presentations:

WebSlides “is about telling the story, and sharing it in a beautiful way.”

In fact, one of WebSlides’ main benefits is that you can share your story beautifully and in a variety of different ways. With one and the same architecture — 40+ components with semantic classes, and clean and scalable code — you can create portfolios, landings, longforms, interviews, etc.

Besides, you can also extend WebSlides’ functionality by combining it with third-party services and tools such as Unsplash , Animate.css , Animate On Scroll , and so on.

WebSlides is easy to learn and fun to use. Let’s see it in action now.

To get started, first download WebSlides . Then, in the root folder, create a new folder and call it presentation . Inside the newly created presentation folder, create a new file and call it index.html . Now, enter the following code, which contains the needed references to the WebSlides’ files (make sure the filepaths correspond to the folder structure in your setup):

In this section you’re going to create a short, but complete presentation, which explains why SVG is the future of web graphics. Note: If you are interested in SVG, please check my articles: SVG 101: What is SVG? and How to Optimize and Export SVGs in Adobe Illustrator .

You’ll be working step by step on each slide. Let’s get started with the first one.

The first slide is pretty simple. It contains only one sentence:

Each parent <section> inside <article id="webslides"> creates an individual slide. Here, you’ve used two classes from WebSlides’ arsenal, i.e., bg-gradient-r and aligncenter , to apply a radial gradient background and to align the slide content to the center respectively.

The second slide explains what SVG is:

The code above uses the content-left and content-right classes to separate the content into two columns. Also, in order to make the above classes work, you need to wrap all content by using the wrap class. On the left side, the code uses text-subtitle to make the text all caps, and text-intro to increase the font size. The right side consists of an illustrative image.

The next slide uses the grid component to create two columns:

The snippet above shows how to use the grid and column classes to create a grid with two columns. In the first column the style attribute aligns the text to the left (Note how the aligncenter class on the <section> element cascades through to its .column child element, which causes all text inside the slide to be center aligned). In the second column, the browser class makes the illustrative image look like a screenshot.

In the fourth slide, use the grid component again to split the content into two columns:

In this slide, place half of the content to the left and the other half to the right using the content-left and content-right classes respectively:

In this slide, use the background class to embed an image as a background with the Unsplash service . Put the headline on light, transparent background by using the bg-trans-light class. The text’s color appears white, because the slide uses a black background with the bg-black class, therefore the default color is inversed, i.e., white on black rather than black on white. Also, for the text to be visible in front of the image, wrap it with <div class="wrap"> :

In this slide, put the explanation text on the left and the illustrative image on the right at 40% of its default size (with the alignright and size-40 classes on the <img> element). For this and the next three slides, use slideInRight , which is one of WebSlides’ built-in CSS animations:

Do a similar thing here:

This slide also uses a similar structure:

Here, divide the content into left and right again. In the second <p> tag, use the inline style attribute to adjust the font-size and line-height properties. Doing so will override the text-intro class styles that get applied to the element by default. On the right side, use <div class="wrap size-80"> to create a container for the SVG code example:

Here, leverage some of the classes you’ve already used to illustrate browser support for SVG:

In this slide, show some of the use cases for SVG in the form of an image gallery. To this end, use an unordered list with the flexblock and gallery classes. Each item in the gallery is marked up with a li tag:

This section shows a typical SVG workflow, so you need to use the flexblock and steps classes, which show the content as a sequence of steps. Again, each step is placed inside a li tag:

For each step after the first one, you need to add the process-step-# class. This adds a triangle pointing to the next step.

In the last slide, use another one of WebSlides’ built-in CSS animations, i.e., zoomIn :

Congratulations! You’re done. You can see the final outcome here:

See the Pen HTML and CSS Presentation Demo with WebSlides by SitePoint ( @SitePoint ) on CodePen .

Et voilà! You have just created a beautiful, fully functional and responsive web presentation. But this is just the tip of the iceberg, there’s a lot more you can quickly create with WebSlides and many other WebSlides features which I didn’t cover in this short tutorial.

To learn more, explore the WebSlides Components and CSS architecture documentation , or start customizing the demos already available to you in the downloadable folder.

Then, focus on your content and let WebSlides do its job.

Frequently Asked Questions (FAQs) about Creating Beautiful HTML & CSS Presentations with WebSlides

How can i customize the design of my webslides presentation.

WebSlides allows you to customize your presentation to suit your style and needs. You can change the color scheme, fonts, and layout by modifying the CSS file. If you’re familiar with CSS, you can easily tweak the styles to create a unique look. If you’re not, there are plenty of online resources and tutorials that can help you learn. Remember, the key to a great presentation is not only the content but also the design. A well-designed presentation can help keep your audience engaged and make your content more memorable.

Can I add multimedia elements to my WebSlides presentation?

How can i share my webslides presentation with others.

Once you’ve created your WebSlides presentation, you can share it with others by hosting it on a web server. You can use a free hosting service like GitHub Pages, or you can use your own web server if you have one. Once your presentation is hosted, you can share the URL with anyone you want to view your presentation. They’ll be able to view your presentation in their web browser without needing to install any special software.

Can I use WebSlides for commercial projects?

Yes, WebSlides is free to use for both personal and commercial projects. You can use it to create presentations for your business, for your clients, or for any other commercial purpose. However, please note that while WebSlides itself is free, some of the images and fonts used in the templates may be subject to copyright and may require a license for commercial use.

How can I add interactive elements to my WebSlides presentation?

You can add interactive elements to your WebSlides presentation by using JavaScript. For example, you can add buttons that the user can click to navigate to different slides, or you can add forms that the user can fill out. This can be done by adding the appropriate HTML and JavaScript code to your slides. If you’re not familiar with JavaScript, there are plenty of online resources and tutorials that can help you learn.

Can I use WebSlides offline?

Yes, you can use WebSlides offline. Once you’ve downloaded the WebSlides files, you can create and view your presentations offline. However, please note that some features may not work offline, such as loading external images or fonts. To ensure that all features work correctly, it’s recommended to host your presentation on a web server.

How can I add transitions and animations to my WebSlides presentation?

You can add transitions and animations to your WebSlides presentation by using CSS. CSS allows you to control the appearance and behavior of elements on your slides, including transitions and animations. For example, you can use the transition property to animate the change of a property from one value to another, or you can use the animation property to create more complex animations.

Can I use WebSlides on mobile devices?

Yes, WebSlides is designed to be responsive and works well on both desktop and mobile devices. However, please note that due to the smaller screen size, some elements may not display as intended on mobile devices. It’s recommended to test your presentation on different devices to ensure that it looks and works well on all platforms.

How can I add navigation controls to my WebSlides presentation?

You can add navigation controls to your WebSlides presentation by using the built-in navigation options. You can add arrows to navigate between slides, or you can add a slide counter to show the current slide number and the total number of slides. This can be done by adding the appropriate HTML and CSS code to your slides.

Can I use WebSlides with other web development tools?

Yes, you can use WebSlides with other web development tools. For example, you can use it with a text editor to write your HTML and CSS code, or you can use it with a version control system like Git to manage your project files. You can also use it with a build tool like Gulp or Grunt to automate tasks like minifying your code or compiling your CSS.

I am a web developer/designer from Bulgaria. My favorite web technologies include SVG, HTML, CSS, Tailwind, JavaScript, Node, Vue, and React. When I'm not programming the Web, I love to program my own reality ;)

11 Beautiful Data Visualization Sites That'll Impress and Hook You

Do huge amounts of data confuse you? Some of the best examples of data visualization show the power of storytelling with graphics.

The internet is awash with an unimaginable amount of data. Nearly every piece of information in the world today is available online. Not all of it is in dull datasets and spreadsheets. Creative data visualization has turned unknowable information into stories. You can check how diverse a city is or slip back in time to pour through archaic manuscripts preserved for centuries.

There are many websites working to present data in a more visual and interactive manner. Here are the eleven most beautiful websites for data nerds.

1. The Pudding

The Pudding publishes visual data essays on a wide selection of topics you wouldn't normally find on other platforms. That includes questioning whether pop lyrics are getting more repetitive, a three-dimensional model of the world's population across several periods, analysis of film dialogues by gender, and fantastic visual explainers.

Also, the majority of these are depicted in 3D. They're also interactive so that you can explore by simply navigating around.

Recommended:   The Largest Analysis of Film Dialogue by Gender, Ever

2. Virus Explorer

This data-centric website, as the name suggests, lets you study viruses and examine them through 3D models. Virus Explorer also offers insights on a host of other characteristics of a specific virus such as whether a vaccine is available for them, their structure, genome type, and more. What's more, you can view them in relative sizes to further understand the differences.

Recommended:  Browse through Click & Learn  for more interactive educational resources.

3. Flag Stories

Flag Stories is the ultimate destination for people who are fascinated by the world's various flags. The website comes with tens of intriguing illustrations which present flags like you would have never seen before.

Some of our favorites are the Most Used Flag Elements that tells you which shape is the most popular among flag makers (no surprises there, rectangle won), all the flags stacked like a Tetris game, dominating layouts, and more.

Recommended: World history in flags

4. Skyscraper Page

Skyscraper Page compares each and every one of globe's skyscraper on a scale that everyone can grasp. The website's database houses tens of thousands of tall buildings, all of which are placed side-by-side on a common chart. You can, of course, categorize them based on cities or countries.

It also lists additional information on the skyscrapers such as when was it built, the designer behind it, height, and more.

Recommended: Stadiums

5. PBDB Navigator

PBDB Navigator is a goldmine for palaeobiology students, professionals, and enthusiasts. The service lets you browse the world through space, time, and taxonomy. It features all the essential and advanced tools you would require for visualizing the globe at a particular age whether it's the Jurassic period or when an organism was first discovered according to geologic time.

6. MAPfrappe

Ever wonder how two locations differ in size but you can't visualize it through sheer numbers? Try MAPfrappe. It allows you to put places on top of each other so that you can truly picture the differences.

MAPfrappe works by outlining the first place you'd like to include and then, select the second one. Once done, it overlaps both of them giving a concise understanding of the size variances.

7. Information is Beautiful

Information is Beautiful is similar to The Pudding but with a lot more topics and colors. The website, as you'd expect, presents data from a vast number of subjects in attractive designs that help you make comparisons. You can grasp how trillion dollars look like, the story of the world's biggest data breaches, and even get a scene-by-scene breakdown of true story-based movies to see how precisely accurate they are.

Recommended:  Reimagine the Game

8. The Colors of Motion

The Colors of Motion is another astonishing website for data nerds which explores the use of colors in movies. The site breaks down every frame to a color and stacks all of them together to form mesmerizing charts and posters of iconic films like Blade Runner 2049, A Beautiful Mind, and more. You can even buy the posters from The Colors of Motion for a starting price of $20.

9. Bird Sounds

Bird Sounds is part of Google Experiments and lets you play and learn sounds of over ten thousand birds. The app's homescreen lists all the available sounds based on their frequency profiles which you can click to play and reveal the corresponding bird. In addition, there's an option to search.

10. Pixel Chart

Pixel Chart comes with the ability to decompose any picture into thousands of pictures. Their color intensities are mapped on a histogram. The website is perfect for photography geeks who are looking to expand their knowledge.

Along with the snazzy animations, Pixel Chart also shows the maximum pixel count of a picture and can group the pixels by lightness, hue, saturation, and more.

11. NYPL's Public Domain Library

The New York Public Library's collection of ancient items in the public domain is another captivating data-oriented app you should check out. It contains hundreds of thousands of items dating back to the eleventh century. Letters by historical figures, the seventh map of Europe, vintage photos, and more treasures. The web app even lets you sort all of these by century, genre, collection, and color.

Recommended: The Mansion Maniac Game

Turn Information Into Knowledge

Data can be boring. But it also depends on the eye of the beholder. Visualizations reduce the overwhelm and can give you a bird's eye view of rich data. But are you a data nerd who really wants to roll up your sleeves? Then don't forget the vast open resources offered by the likes of Google's Dataset Search tool .

The HTML Presentation Framework

Created by Hakim El Hattab and contributors

Hello There

reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.

Vertical Slides

Slides can be nested inside of each other.

Use the Space key to navigate through all slides.

Basement Level 1

Nested slides are useful for adding additional detail underneath a high level horizontal slide.

Basement Level 2

That's it, time to go back up.

Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com .

Pretty Code

Code syntax highlighting courtesy of highlight.js .

Even Prettier Animations

Point of view.

Press ESC to enter the slide overview.

Hold down the alt key ( ctrl in Linux) and click on any element to zoom towards it using zoom.js . Click again to zoom back out.

(NOTE: Use ctrl + click in Linux.)

Auto-Animate

Automatically animate matching elements across slides with Auto-Animate .

Touch Optimized

Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.

Add the r-fit-text class to auto-size text

Hit the next arrow...

... to step through ...

... a fragmented slide.

Fragment Styles

There's different types of fragments, like:

fade-right, up, down, left

fade-in-then-out

fade-in-then-semi-out

Highlight red blue green

Transition Styles

You can select from different transitions, like: None - Fade - Slide - Convex - Concave - Zoom

Slide Backgrounds

Set data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.

Image Backgrounds

Tiled backgrounds, video backgrounds, ... and gifs, background transitions.

Different background transitions are available via the backgroundTransition option. This one's called "zoom".

You can override background transitions per-slide.

Iframe Backgrounds

Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.

Marvelous List

• No order here

Fantastic Ordered List

• One is smaller than...
• Two is smaller than...

Tabular Tables

Clever quotes.

These guys come in two forms, inline: The nice thing about standards is that there are so many to choose from and block:

“For years there has been a theory that millions of monkeys typing at random on millions of typewriters would reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”

Intergalactic Interconnections

You can link between slides internally, like this .

Speaker View

There's a speaker view . It includes a timer, preview of the upcoming slide as well as your speaker notes.

Press the S key to try it out.

Export to PDF

Presentations can be exported to PDF , here's an example:

Global State

Set data-state="something" on a slide and "something" will be added as a class to the document element when the slide is open. This lets you apply broader style changes, like switching the page background.

State Events

Additionally custom events can be triggered on a per slide basis by binding to the data-state name.

Take a Moment

Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.

• Right-to-left support
• Extensive JavaScript API
• Auto-progression
• Parallax backgrounds
• Custom keyboard bindings

- Try the online editor - Source code & documentation

Create Stunning Presentations on the Web

reveal.js is an open source HTML presentation framework. It's a tool that enables anyone with a web browser to create fully-featured and beautiful presentations for free.

Presentations made with reveal.js are built on open web technologies. That means anything you can do on the web, you can do in your presentation. Change styles with CSS, include an external web page using an <iframe> or add your own custom behavior using our JavaScript API .

The framework comes with a broad range of features including nested slides , Markdown support , Auto-Animate , PDF export , speaker notes , LaTeX support and syntax highlighted code .

Ready to Get Started?

It only takes a minute to get set up. Learn how to create your first presentation in the installation instructions !

Online Editor

If you want the benefits of reveal.js without having to write HTML or Markdown try https://slides.com . It's a fully-featured visual editor and platform for reveal.js, by the same creator.

Supporting reveal.js

This project was started and is maintained by @hakimel with the help of many contributions from the community . The best way to support the project is to become a paying member of Slides.com —the reveal.js presentation platform that Hakim is building.

Slides.com — the reveal.js presentation editor.

Become a reveal.js pro in the official video course.

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Top 10 Data Analysis Templates with Samples and Examples

Mohammed Sameer

If people could eat data instead of food, we could end world hunger with enough spare data left over to tackle 3 famines.

This startling but obvious statement underscores the abundance of data available to the human race today and the humungous rate at which it has grown in our digital age. Just as sustenance nourishes our bodies, data fuels our intellect, satiating the hunger for insights and understanding. 

Data is the foundation upon which the structure of information stands tall. Imagine gazing at a puzzle's scattered pieces – each is important, might be beautiful and vital, but the true picture emerges only when the pieces interlock. Similarly, data is the root of knowledge for today’s businesses. Our new Data Analysis Templates are the masterful hands that bring all that scattered knowledge and wisdom together.

These PPT Presentations emerge as essential companions in a landscape where accurate decision-making means the difference between thriving and surviving. Understanding data is pivotal in the symphony of business strategies, marketing endeavors, and research pursuits. 

The 100% customizable nature of the templates provides you with the desired flexibility to edit your presentations. The content-ready slides give you the much-needed structure.

Let’s explore!

Template 1: Data Analysis Process PPT Set

Use this PPT Set to help stakeholders understand difficulties that mar the data analysis process and gain valuable insights. Explore the crucial stages of data analysis, from establishing data requirements and efficient data collection to thorough data processing and cleaning. This PPT Design highlights the often underestimated yet pivotal phase of data cleaning. With this template, you'll understand how data lays the foundation for seamless analysis, leading to more accurate results and impactful communication. Download now!

Download this template

Template 2: Data Analysis Business Evaluation Process for Visualization and Presentation

This holistic PPT Bundle guides you through the complex stages of visualization and presentation while offering a profound understanding of each crucial phase. Use this presentation template to understand the essence of successful data analysis, as it breaks down the process into digestible segments. From the initial steps of business issue comprehension and data understanding to data preparation, exploratory analysis, monitoring, validation, and finally, captivating visualization and presentation – every facet is covered. This PPT Preset goes beyond mere process explanation, offering a robust framework for the holistic development of data conceptualization, collection, analysis, and cleaning procedures. Get it today!

Get this template

Template 3: Data Requirement Analysis PPT Bundle

Navigating challenges of problem-solving, prioritization, and data insight, this PPT Presentation presents a strategic roadmap that transforms raw information into actionable intelligence. It starts with a deep dive into the heart of your business challenges. Focusing on defining the core problems, this presentation template guides you through the process of setting priorities, ensuring every move is a step closer to your objectives. Data collection, a crucial cornerstone, is explained through insightful visual aids and organized segments. Witness the transformation of disparate data points into a coherent narrative, empowering you to decipher trends, anomalies, and opportunities.

This PPT Template equips you with the tools to not only gather data but also comprehend its implications, turning information into true knowledge. Navigating the challenges of data requirement analysis is no longer a daunting task. From security gaps that demand attention to complex data systems that require expertise, our template ensures you're prepared to overcome these hurdles with confidence. The high costs that often come with data analysis are confronted head-on, unraveling budget-friendly strategies that don't compromise on quality. Get this template today!

Grab this template

Template 4: Big Data Analysis PPT Set

This comprehensive PPT Deck presents a pre-made Big Data Analysis funnel that guides you through the rather complex process of turning data into gold. Gain a competitive edge by understanding effective data analysis techniques of association rule learning, classification tree analysis, genetic algorithm, regression analysis, and sentiment analysis. It's more than a run-of-the-mill PPT Presentation; it's a transformative tool. Invest in a big data analysis PPT like resource that's not just about graphs and numbers; get it now. Download now!

Template 5: Data Management Analysis PPT Framework

For achieving business excellence, the quest for efficient and time-saving solutions is a universal endeavor. Recognizing your aspirations, we present the Data Management Analysis PowerPoint Presentation — an invaluable asset for seamless change management and effective data analysis. It incorporates PPT Slides designed to provide an effortless avenue for embracing change management and conducting incisive data analysis. It offers a cohesive platform for centralizing your objectives, ready to be shared with your team. The judicious use of text boxes empowers you to articulate your perspectives with precision on each pertinent subject. Download today!

Template 6: Predictive Data Analysis PPT Layout

Get this PPT Preset to consolidate your stakeholder's grasp on predictive analytics, a discipline that uses statistical methodologies, cutting-edge machine learning algorithms, and a suite of tools to dissect historical data. This PPT Layout guides you through a well-structured journey, unfolding the essentials of predictive analytics, its foundational framework, and a suite of models that constitute its core. The significance of predictive analytics takes center stage, underscored by its multifaceted applications. Additionally, this resource has an Estimation Model PPT Slide, which explains the key tenets of diverse predictive analytics tools and their closely-knit workflows. The demarcation between the four pivotal categories of advanced analytics in this PPT deck receives careful attention. It sheds light on predictive analytics models – from classification to clustering models and beyond. Download now!

Template 7: Dashboard For IT Operations Data Analysis

This PPT Template Dashboard is a dynamic representation of your operational landscape. This PPT Set helps track the total number of cases from inception to resolution. Visualize trends with a graph showcasing the weekly ebb and flow of opened and closed cases. Prioritize effectively, allocating resources where they matter most, as the presentation template depicts it across departments. Efficiency meets clarity as you explore the time distribution of tickets on a day-by-day basis. Gain a better understanding of workflow patterns and resource utilization. Analyze open case statuses, fostering an environment of proactive response and swift action. Download now!

Template 8: Quarterly Sales Data Analysis Report

Visualize your progress with ease using this PPT Template's intuitive presentation of monthly sales data. Get a clear view of team-wise statistics that showcase individual contributions, fostering a culture of recognition and growth. Uncover finer details through the nuanced comparison of total versus actual sales values, empowering you to identify trends and opportunities. Engage stakeholders in strategy evaluation as you assess team goals versus actual achievements. Pinpoint areas of excellence and those warranting attention, refining your approach. Download now!

Template 9: Real-Time  Marketing Data Analysis

Here's a dynamic marketing analysis tool blending insights and aesthetics. It presents a pie chart comparing planned vs. actual budgets while diving deep into sections showcasing real-time marketing benefits: Elevated customer experiences, surging conversions, enhanced retention, and refined brand perception. Navigate budget allocation through intuitive bar graphs. Improve your strategy with data symphony, moving a step closer to success through informed choices. Download now!

Template 10: Data Analysis Process for Visualization and Presentation

Embark on a data-driven journey with this PPT Set. Learn the process of Data Analysis, Visualization, and Presentation to address complex business challenges. This PPT Design walks you through these stages, from issue identification and data preparation to exploratory analysis modeling. Witness raw data transform into insights through rigorous validation. Culminate in captivating visualizations and masterful presentations, setting new standards for impactful communication. Download now!

Bridging Numbers and Narratives: Your Journey Through Data Analysis

In a world where data weaves the fabric of progress, our journey through this blog comes to an inspiring end. As you venture into data analysis armed with our templates, remember that each graph, each layout, and each piece of information is a brushstroke on the canvas of understanding. With every mouse click, you’re not just navigating slides; you're charting the course for informed decisions, breakthrough discoveries, and transformative strategies.

FAQs on Data Analysis

What is data analysis.

Data analysis involves inspecting, cleansing, transforming, and modeling data to derive meaningful insights, draw conclusions, and support decision-making. It encompasses various techniques, including statistical methods, machine learning, and visualization, to uncover patterns, trends, and relationships within datasets.

What are the four types of data analysis?

There are four main types of data analysis:

• Descriptive Analysis: This type of analysis focuses on summarizing and describing the main features of a dataset. It involves statistical measures such as mean, median, mode, range, and standard deviation. Descriptive analysis aims to clearly understand the data's characteristics but doesn't involve drawing conclusions or making predictions.
• Diagnostic Analysis: Diagnostic analysis involves digging deeper into data to understand why certain patterns or outcomes occurred. It aims to identify the root causes of specific events or trends. Techniques used in diagnostic analysis often include data visualization, exploratory data analysis, and statistical tests to uncover relationships and correlations.
• Predictive Analysis: Predictive analysis involves using historical data to predict future events or outcomes. This type of analysis uses statistical models, machine learning algorithms, and data mining techniques to identify patterns and trends that can be used to forecast future trends. It's widely used in finance, marketing, and healthcare for making informed decisions.
• Prescriptive Analysis: Prescriptive analysis goes beyond predicting future outcomes. It provides recommendations or solutions for specific situations based on historical and current data analysis. This type of analysis considers different possible actions and their potential outcomes to guide decision-making. Prescriptive analysis is often used in complex scenarios involving multiple variables and options.

Where is data analysis used?

Data analysis is used in a wide range of fields and industries, including but not limited to:

• Business: Analyzing customer behavior, market trends, and financial performance.
• Healthcare: Analyzing patient records, medical research data, and disease trends.
• Science: Analyzing experimental results, simulations, and observations.
• Finance: Analyzing investment trends, risk assessment, and portfolio management.
• Marketing: Analyzing campaign effectiveness, consumer preferences, and market segmentation.
• Social Sciences: Analyzing survey data, demographic trends, and human behavior.
• Sports: Analyzing player performance, game statistics, and strategy optimization.

What is the main tool for data analysis?

There isn't a single "main" tool for data analysis, as the choice of tools depends on the specific tasks and the preferences of the analyst. However, some widely used tools for data analysis include:

• Spreadsheet Software: Like Microsoft Excel or Google Sheets, used for basic data manipulation and visualization.
• Statistical Software: Such as R and Python's libraries (e.g., pandas, numpy, scipy), used for in-depth statistical analysis and modeling.
• Data Visualization Tools: Like Tableau, Power BI, or matplotlib/seaborn in Python, used to create visual representations of data.
• Database Management Systems (DBMS): Such as SQL-based systems for querying and managing large datasets.
• Machine Learning Libraries: Such as scikit-learn, TensorFlow, and PyTorch for building predictive models.

Why is data analysis important?

Data analysis is crucial for several reasons:

• Informed Decision-Making: It provides insights that help individuals and organizations make informed decisions based on evidence rather than intuition.
• Identifying Patterns and Trends: It helps to uncover hidden patterns, trends, and correlations in large datasets that might not be apparent on the surface.
• Problem Solving: Data analysis aids in solving complex problems by providing a structured approach to understanding and addressing issues.
• Improving Efficiency and Performance: It allows businesses to optimize processes, improve efficiency, and enhance performance based on data-driven insights.
• Innovation and Research: Data analysis is essential in scientific research and innovation, helping to validate hypotheses and drive discoveries.
• Competitive Advantage: Organizations that effectively use data analysis gain a competitive edge by better understanding their customers, markets, and internal operations.
• Risk Management: Data analysis enables better risk assessment and management by identifying potential issues or anomalies early on.
• Resource Allocation: It helps allocate resources effectively by understanding where investments are most likely to yield positive outcomes.

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How McKinsey designs data-heavy slides

By Paul Moss

Join 100k+ subscribers on our YouTube channel and enjoy highly engaging lessons packed full of best practices.

Overall, mckinsey does a good job of showing a lot of data in a small space by having a strong title, choosing the right chart, organizing the information into clear sections, and bolding the important parts of the text..

In this post I’m going to break down a realistic consulting slide from McKinsey. I’ll show you how they’re able to show a large amount of information in one slide, while still being able to communicate a clear message. What might look like a dense mess of text and numbers, is actually a carefully crafted slide with a clear structure and insightful takeaways. 

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The slide I’ll be reviewing is about identifying the future demand for electricity in the U.K. and finding ways to reduce that demand.

“Capturing the full electricity efficiency potential of the U.K.” McKinsey, November 2012

This slide in particular is showing how much the UK could potentially reduce their yearly electricity demand. The title says, “If implemented in full, electricity efficiency measures have the potential to reduce UK electricity demand by (about) 146 TWh per annum by 2030.”

There’s a nice waterfall chart on the left with some details, then on the right there’s a box that shows key insights, and a box that shows comments. The first thing to note is the overall organization of the slide. When designing your slide it’s important to clearly separate the different categories of information on the slide, especially if the information looks similar. For example, the two boxes of text could easily blend together, but they’ve categorized them into key insights and comments, which makes it a little easier for the audience to read and understand.

I also really like the specificity of the title. They’re telling you exactly what they want you to know, including the exact number, which is really important on slides like this where the amount of information can be disorienting. Your goal is always to make it as easy as possible for the audience to understand the message you’re trying to communicate, and little things like this make a difference. 

Alright, let’s talk about the chart just a little bit. It’s a waterfall chart, which is best used when you’re trying to show how you get from one value to another. In this case they’re showing how you get from the 2030 “policy off” projection – basically the expected demand in 2030 if they do nothing – to 2030 demand assuming ‘full abatement potential’ captured – which is just the number they think they could get to if they did everything right. Then they’ve also included an extra column that shows 2030 DECC central “policy on” which is the Department of Energy and Climate Change’s projections for the current policy.

So at its core, the chart is showing where the potential electricity savings could come from, represented by each of the different categories: 63 TWh from residential, 42 from commercial, etc. And if you add these all up, the total is about 146 TWh, which is the number they’ve called out in the title.

There’s a few important keys to making sure your waterfall charts look good. The first is to make sure you include data labels on each column. It makes it much easier for the audience to understand the breakdown of each category. Putting the data labels on the Y axis for example, would make it hard to grasp the size of each individual column because they’re sort of floating in space.

The second key is to include extra information on the chart, especially information that shows the difference between the major columns. They’ve called out the 36% number which gives the audience a good sense for the magnitude of the difference. They’ve also included the numbers at the top, which are a bit confusing at first, but provide good context. They’re meant to show how much each reduction makes up of the total for that sector. So for example, a reduction of 42 TWh for the Commercial sector is about 38% of the total expected demand for the Commercial Sector in 2030.

Then one other important key to building good waterfall charts is to use different colors to distinguish between the categories. In this case they’ve done it twice – to highlight a part of the Residential Sector demand reduction, then again, to show the expected demand with the policy in place. It is especially important to call out because the whole point of the project is to identify what they aren’t doing to reduce demand that they could be doing, which is represented by the difference between the two columns on the right. It doesn’t seem to be the emphasis of the slide per se, but the context is really important.

On the right hand side they’ve got two sections. One that says key insights, and another that just says comments. In the key insights box it shows where the reduction is expected to come for each category. For example, in Public Admin improved insulation, lighting controls, and LEDs are expected to be key drivers for the reduction in electricity usage.

I like that they’ve bolded the important keywords, especially considering how much text and information is on this slide. Small things like that can really make a difference. What I don’t like though, is their decision to call this box Key Insights. I don’t think the insights are from the chart, I think they’re just what they’ve called them: Key Drivers. I would have removed the subtitle line, and changed the title to Key Drivers. That would have made things a little more clear.

Then the box below is called comments, and if you read closely, it’s really just supplemental information that helps you understand the data. They could have easily moved it down to the footnotes section, which is probably what I would have done, but it’s not a big deal to have it where it is so I think it’s fine.

Overall, McKinsey does a pretty good job of showing a lot of data and information in a small space, while keeping it clear and readable. They do this by having a strong and attention-grabbing title, choosing the right chart and making the chart easy to understand, organizing the information on the slide into clear sections, and bolding the important parts of the text. The end result is a clear slide that would work well in a realistic client presentation.

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• Guy Kawasaki

Remember: Less is more.

A strong presentation is so much more than information pasted onto a series of slides with fancy backgrounds. Whether you’re pitching an idea, reporting market research, or sharing something else, a great presentation can give you a competitive advantage, and be a powerful tool when aiming to persuade, educate, or inspire others. Here are some unique elements that make a presentation stand out.

• Fonts: Sans Serif fonts such as Helvetica or Arial are preferred for their clean lines, which make them easy to digest at various sizes and distances. Limit the number of font styles to two: one for headings and another for body text, to avoid visual confusion or distractions.
• Colors: Colors can evoke emotions and highlight critical points, but their overuse can lead to a cluttered and confusing presentation. A limited palette of two to three main colors, complemented by a simple background, can help you draw attention to key elements without overwhelming the audience.
• Pictures: Pictures can communicate complex ideas quickly and memorably but choosing the right images is key. Images or pictures should be big (perhaps 20-25% of the page), bold, and have a clear purpose that complements the slide’s text.
• Layout: Don’t overcrowd your slides with too much information. When in doubt, adhere to the principle of simplicity, and aim for a clean and uncluttered layout with plenty of white space around text and images. Think phrases and bullets, not sentences.

As an intern or early career professional, chances are that you’ll be tasked with making or giving a presentation in the near future. Whether you’re pitching an idea, reporting market research, or sharing something else, a great presentation can give you a competitive advantage, and be a powerful tool when aiming to persuade, educate, or inspire others.

• Guy Kawasaki is the chief evangelist at Canva and was the former chief evangelist at Apple. Guy is the author of 16 books including Think Remarkable : 9 Paths to Transform Your Life and Make a Difference.

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How-To Geek

How to add live web pages to a powerpoint presentation.

Have you ever wanted to demonstrate a live website during a PowerPoint presentation? Here's how you can insert a live webpage into a PowerPoint prese

Have you ever wanted to demonstrate a live website during a PowerPoint presentation?  Here's how you can insert a live webpage into a PowerPoint presentation so you can show the exact content you're talking about.

No matter what you're giving a presentation about, sometimes it can be useful to show your audience information from the internet.  You could always create a screenshot of the webpage you're demonstrating, but chances are the screenshot may be out of date by the time you give your presentation.

A better solution is to use live information from the web in your presentation.  By default, PowerPoint doesn't support inserting a live web page, but you can easily do this with the LiveWeb add-in.

Head to the LiveWeb website (link below), and download the correct version for your version of PowerPoint.  We selected the 2007/2010 version in this test.

Once it's downloaded, extract the files as normal.

Now, in PowerPoint, open the Options window.  In PowerPoint 2010, you can do this by clicking the File button and selecting Options; in PowerPoint 2007, click the Office orb and select Options.

Select Add-Ins on the left side, then select PowerPoint Add-ins from the Manage menu, and click Go.

This will open the PowerPoint Add-ins window.  Click Add New to add the LiveWeb addin we downloaded previously.

Browse to the folder where you extracted the LiveWeb addin, and select it.

PowerPoint may warn you that the addon contains a macro.  Click Enable Macros to continue.

Now you should see LiveWeb listed in the Add-Ins window, and you're ready to add a live webpage to your PowerPoint presentation.

Using LiveWeb in PowerPoint

Now that LiveWeb is installed, you're ready to insert live internet data in your presentations.  From the Insert tab, select Web Page from the LiveWeb section.

This will open a quick Wizard interface that will help you insert a webpage into your presentation.

Enter the website you'd like to visit in the first line, then click the Add button.  Make sure to include http:// in front of the website address.  Once you've added the website you wish to visit, click Next.

LiveWeb will automatically refresh the web page, but if you want you can uncheck the box.  Click Next to continue.

Now choose how much of the slide you want the webpage to cover, and select where you want to position the page.  You can always change this later if you like.

Once it's finished, click Finish to return back to PowerPoint.

LiveWeb will let you know it successfully added the web page to your slide.

You'll now see a Windows 98-style logo in your slide, showing where your live webpage will be located.

Feel free to resize or move the webpage section in your slide however you want.

To view the actual web content, you'll need to start a slideshow.  Click the slideshow button at the bottom of the window to switch quickly.

Now you'll see a live webpage loaded right inside your PowerPoint presentation.  You can markup the slide as you would any other with PowerPoint tools, or you can interact with the website just as you would in a browser.

If you need to change your webpage, click the Edit Page Property button on the Insert tab.

Enter the new website address you want, and finish as before.

You can also add multiple web pages to a presentation if you'd like.  You could even make a webpage comparison like we did with screenshots in our first slide.  Only difference here is, the web pages are both live, and you could demonstrate how to use them to your audience.

When you save your presentation, you'll need to save it as a Macro-enabled presentation in .pptm format to preserve the web data.  Note that you'll be able to view the presentation on another computer only if it has the LiveWeb addon installed.  Since it's a free addon, you could keep a copy of it on your flash drive so you could easily install it if you need to show your presentation on another computer.

Whether you're trying to teach a class about computer usage or demonstrate your new website for your company's board members, the LiveWeb addin makes it easy to incorporate live web pages in your presentations.  There are many ways you could use this, so let us know how you use live web pages in your presentations to make information come alive!

If you'd like to use live web data in other Office applications, here's how you can Use Online Data in Excel 2010 Spreadsheets .

Download the LiveWeb Add-in for PowerPoint

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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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Current H5N1 Bird Flu Situation in Dairy Cows

Domestic Summary

Global summary, risk to humans.

• Related Links

Other Documented Mammalian Infections

States with outbreaks in cattle.

as of 4/24/2024 | Full Report >

Dairy Herds Affected

CDC systems that monitor national, state, and local level influenza data are being used during the current avian influenza A(H5N1) situation. These systems show no indicators of unusual influenza activity in people, including avian influenza A(H5N1).

A multi-state outbreak of HPAI A(H5N1) bird flu in dairy cows  was first reported on March 25, 2024. This is the first time that these bird flu viruses were found in cattle. CDC confirmed one human HPAI A(H5N1) infection  that had exposure to dairy cattle in Texas that were presumed to be infected with the virus. While thought to be rare, this exposure to HPAI A(H5N1) bird flu virus is the first instance of likely mammal to human transmission.

In the United States, since 2022, USDA APHIS has reported HPAI A(H5N1) virus detections  in more than 200 mammals .

While rare, mammals can be infected with highly pathogenic avian influenza (HPAI) A(H5N1) (“H5N1 bird flu”) viruses. Reports of these sporadic infections in mammals have occurred globally amid widespread outbreaks of bird flu infections in wild birds and poultry.

Mammals can be infected with H5N1 bird flu viruses when they eat infected birds, poultry, or other animals and/or if they are exposed to environments contaminated with virus. Spread of H5N1 bird flu viruses from mammal to mammal is thought to be rare, but possible.

Globally, sporadic HPAI A(H5N1) virus infections in mammals have been reported across the continents of Asia, North America, South America, and Europe. More information about the global impact of avian influenza can be found here: Avian Influenza – WOAH – World Organisation for Animal Health.

Specifically, recent HPAI A(H5N1) infections in mammals have been detected in sea lions in Peru and Chile, sea elephants in Argentina, and foxes in Canada, France, and other countries. A list of significant HPAI outbreaks, including in mammals, can be found here: Highlights in the History of Avian Influenza (Bird Flu) Timeline – 2020-2024.

The wide geographic spread of HPAI A(H5N1) viruses in wild birds, poultry, and some other mammals, including in cows, could create additional opportunities for people to be exposed to these viruses. Therefore, there could be an increase in sporadic human infections resulting from bird and animal exposures, even if the risk of these viruses spreading from birds to people has not increased. CDC believes the current risk to the general public from bird flu viruses is low. People who have job-related or recreational exposure to infected birds or animals, including cows, are at greater risk of contracting HPAI A(H5N1) virus. CDC has recommendations related to testing, treatment of HPAI A(H5N1) infection and prevention of exposure to these viruses: Highly Pathogenic Avian Influenza A(H5N1) Virus in Animals: Interim Recommendations for Prevention, Monitoring, and Public Health Investigations .

• Highly Pathogenic Avian Influenza A(H5N1) Virus in Animals: Interim Recommendations for Prevention, Monitoring, and Public Health Investigations
• Updated Interim Recommendations for Worker Protection and Use of Personal Protective Equipment (PPE) to Reduce Exposure to Novel Influenza A Viruses Associated with Disease in Humans | Avian Influenza (Flu) (cdc.gov)
• Infographic: Protect Yourself From H5N1 When Working With Farm Animals [2 MB, 1 page] Spanish [1.7 MB, 1 page]
• Considerations for Veterinarians: Evaluating and Handling of Cats Potentially Exposed to Highly Pathogenic Avian Influenza A(H5N1) Virus
• Health Alert Network (HAN) – 00506 | Highly Pathogenic Avian Influenza A(H5N1) Virus: Identification of Human Infection and Recommendations for Investigations and Response
• Information for Specific Groups
• Human Infection with Avian Influenza A Virus: Information for Health Professionals and Laboratorians
• Avian Influenza A(H5N1) U.S. Situation Update and CDC Activities
• Human Infection with Highly Pathogenic Avian Influenza A(H5N1) Virus in Texas
• Highly Pathogenic Avian Influenza A (H5N1) Virus Infection Reported in a Person in the U.S.
• CDC Reports First U.S. Human Infection in 2024 with Variant Influenza Virus
• Technical Update: Summary Analysis of Genetic Sequences of Highly Pathogenic Avian Influenza A(H5N1) Viruses in Texas

Related webpages

• What CDC Is Doing to Respond to Bird Flu Outbreaks in Dairy Cows and Other Animals in the United States 
• H5N1 Bird Flu: Current Situation Summary
• Bird Flu Virus Infections in Humans
• Avian Influenza in Birds
• Bird Flu in Pets and Other Animals
• Federal Order to Assist with Developing a Baseline of Critical Information and Limiting the Spread of H5N1 in Dairy Cattle: Frequently Asked Questions (usda.gov)
• USDA APHIS Testing Guidance for Labs for Influenza A in Livestock [289 KB, 3 pages]
• USDA APHIS Requirements and Recommendations for HPAI H5N1 Virus in Livestock for State Animal Health Officials, Accredited Veterinarians and Producers [290 KB, 7 pages]
• USDA livestock case definitions [131 KB, 2pages]
• USDA Confirms Highly Pathogenic Avian Influenza in Dairy Herd in New Mexico
• USDA, FDA and CDC Share Update on HPAI Detections in Dairy Cattle
• Federal and State Veterinary, Public Health Agencies Share Update on HPAI Detection in Kansas, Texas Dairy Herds
• Highly Pathogenic Avian Influenza (HPAI) Detections in Livestock
• Influenza: Not Just for the Birds (usda.gov)  [286 KB, 1 page]
• APHIS Recommendations for Highly Pathogenic Avian Influenza (HPAI) H5N1 Virus in Livestock [292 KB, 6 pages]
• Updates on Highly Pathogenic Avian Influenza (HPAI)
• Questions and Answers Regarding Milk Safety During Highly Pathogenic Avian Influenza (HPAI) Outbreaks
• Questions and Answers Regarding the Safety of Eggs During Highly Pathogenic Avian Influenza Outbreaks

In recent years, HPAI H5N1 infections have been detected in mammals including but not limited to wild or feral animals such as foxes, bears, and seals; stray or domestic animals such as cats and dogs; farm animals, such as goats, cows, and mink, and zoo animals such as tigers and leopards. A timeline, which includes mammalian detections of bird flu, can be found here: Highlights in the History of Avian Influenza (Bird Flu) Timeline – 2020-2024

Descargo de responsabilidad: Es posible que en este sitio encuentre algunos enlaces que le lleven a contenido disponible sólo en inglés. Además, el contenido que se ha traducido del inglés se actualiza a menudo , lo cual puede causar la aparición temporal de algunas partes en ese idioma hasta que se termine de traducir (generalmente en 24 horas). Llame al 1-800-CDC-INFO si tiene preguntas sobre la influenza estacional, cuyas respuestas no ha encontrado en este sitio. Agradecemos su paciencia.

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• Swine/Variant
• Influenza in Animals

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An official website of the United States government

Gross Domestic Product, First Quarter 2024 (Advance Estimate)

• News Release
• Related Materials
• Additional Information

Real gross domestic product (GDP) increased at an annual rate of 1.6 percent in the first quarter of 2024 (table 1), according to the "advance" estimate released by the Bureau of Economic Analysis. In the fourth quarter of 2023, real GDP increased 3.4 percent.

The GDP estimate released today is based on source data that are incomplete or subject to further revision by the source agency (refer to “Source Data for the Advance Estimate” on page 3). The “second” estimate for the first quarter, based on more complete source data, will be released on May 30, 2024.

The increase in real GDP primarily reflected increases in consumer spending, residential fixed investment, nonresidential fixed investment, and state and local government spending that were partly offset by a decrease in private inventory investment. Imports, which are a subtraction in the calculation of GDP, increased (table 2).

The increase in consumer spending reflected an increase in services that was partly offset by a decrease in goods. Within services, the increase primarily reflected increases in health care as well as financial services and insurance. Within goods, the decrease primarily reflected decreases in motor vehicles and parts as well as gasoline and other energy goods. Within residential fixed investment, the increase was led by brokers’ commissions and other ownership transfer costs as well as new single-family housing construction. The increase in nonresidential fixed investment mainly reflected an increase in intellectual property products. The increase in state and local government spending reflected an increase in compensation of state and local government employees. The decrease in inventory investment primarily reflected decreases in wholesale trade and manufacturing. Within imports, the increase reflected increases in both goods and services.

Compared to the fourth quarter, the deceleration in real GDP in the first quarter primarily reflected decelerations in consumer spending, exports, and state and local government spending and a downturn in federal government spending. These movements were partly offset by an acceleration in residential fixed investment. Imports accelerated.

Current‑dollar GDP increased 4.8 percent at an annual rate, or $327.5 billion, in the first quarter to a level of $28.28 trillion. In the fourth quarter, GDP increased 5.1 percent, or $346.9 billion (tables 1 and 3).

The price index for gross domestic purchases increased 3.1 percent in the first quarter, compared with an increase of 1.9 percent in the fourth quarter (table 4). The personal consumption expenditures (PCE) price index increased 3.4 percent, compared with an increase of 1.8 percent. Excluding food and energy prices, the PCE price index increased 3.7 percent, compared with an increase of 2.0 percent.

Personal Income

Current-dollar personal income increased $407.1 billion in the first quarter, compared with an increase of $230.2 billion in the fourth quarter. The increase primarily reflected increases in compensation and personal current transfer receipts (table 8).

Disposable personal income increased $226.2 billion, or 4.5 percent, in the first quarter, compared with an increase of $190.4 billion, or 3.8 percent, in the fourth quarter. Increases in compensation and personal current transfer receipts were partly offset by an increase in personal current taxes, which are a subtraction in the calculation of DPI. Real disposable personal income increased 1.1 percent, compared with an increase of 2.0 percent.

Personal saving was $755.7 billion in the first quarter, compared with $815.5 billion in the fourth quarter. The personal saving rate —personal saving as a percentage of disposable personal income—was 3.6 percent in the first quarter, compared with 4.0 percent in the fourth quarter.

Source Data for the Advance Estimate

The GDP estimate released today is based on source data that are incomplete or subject to further revision by the source agency. Information on the source data and key assumptions used in the advance estimate is provided in a Technical Note and a detailed " Key Source Data and Assumptions " file posted with the release. The second estimate for the first quarter, based on more complete data, will be released on May 30, 2024. For information on updates to GDP, refer to the "Additional Information" section that follows.

*          *          *

Next release, May 30, 2024, at 8:30 a.m. EDT Gross Domestic Product (Second Estimate) Corporate Profits (Preliminary Estimate) First Quarter 2024

Full Release & Tables (PDF)

Technical note (pdf), tables only (excel), release highlights (pdf), historical comparisons (pdf), key source data and assumptions (excel), revision information.

• GDP Lisa Mataloni  301-278-9083 [email protected]
• Corporate Profits Kate Pinard 301-278-9417 [email protected]
• Media (BEA) Connie O’Connell 301-278-9003 [email protected]

Additional resources available at www.bea.gov :

• Stay informed about BEA developments by reading the BEA blog , signing up for BEA's email subscription service , or following BEA on X, formerly known as Twitter @BEA_News .
• Historical time series for these estimates can be accessed in BEA's interactive data application .
• Access BEA data by registering for BEA's data Application Programming Interface (API).
• For more on BEA's statistics, refer to our online journal, the Survey of Current Business .
• BEA's news release schedule
• NIPA Handbook : Concepts and Methods of the U.S. National Income and Product Accounts

Definitions

Gross domestic product (GDP), or value added , is the value of the goods and services produced by the nation's economy less the value of the goods and services used up in production. GDP is also equal to the sum of personal consumption expenditures, gross private domestic investment, net exports of goods and services, and government consumption expenditures and gross investment.

Gross domestic income (GDI) is the sum of incomes earned and costs incurred in the production of GDP. In national economic accounting, GDP and GDI are conceptually equal. In practice, GDP and GDI differ because they are constructed using largely independent source data.

Gross output is the value of the goods and services produced by the nation's economy. It is principally measured using industry sales or receipts, including sales to final users (GDP) and sales to other industries (intermediate inputs).

Current-dollar estimates are valued in the prices of the period when the transactions occurred—that is, at "market value." Also referred to as "nominal estimates" or as "current-price estimates."

Real values are inflation-adjusted estimates—that is, estimates that exclude the effects of price changes.

The gross domestic purchases price index measures the prices of final goods and services purchased by U.S. residents.

The personal consumption expenditure price index measures the prices paid for the goods and services purchased by, or on the behalf of, "persons."

Personal income is the income received by, or on behalf of, all persons from all sources: from participation as laborers in production, from owning a home or business, from the ownership of financial assets, and from government and business in the form of transfers. It includes income from domestic sources as well as the rest of world. It does not include realized or unrealized capital gains or losses.

Disposable personal income is the income available to persons for spending or saving. It is equal to personal income less personal current taxes.

Personal outlays is the sum of personal consumption expenditures, personal interest payments, and personal current transfer payments.

Personal saving is personal income less personal outlays and personal current taxes.

The personal saving rate is personal saving as a percentage of disposable personal income.

Profits from current production , referred to as corporate profits with inventory valuation adjustment (IVA) and capital consumption (CCAdj) adjustment in the National Income and Product Accounts (NIPAs), is a measure of the net income of corporations before deducting income taxes that is consistent with the value of goods and services measured in GDP. The IVA and CCAdj are adjustments that convert inventory withdrawals and depreciation of fixed assets reported on a tax-return, historical-cost basis to the current-cost economic measures used in the national income and product accounts. Profits for domestic industries reflect profits for all corporations located within the geographic borders of the United States. The rest-of-the-world (ROW) component of profits is measured as the difference between profits received from ROW and profits paid to ROW.

For more definitions, refer to the Glossary: National Income and Product Accounts .

Statistical conventions

Annual-vs-quarterly rates . Quarterly seasonally adjusted values are expressed at annual rates, unless otherwise specified. This convention is used for BEA's featured, seasonally adjusted measures to facilitate comparisons with related and historical data. For details, refer to the FAQ " Why does BEA publish estimates at annual rates? "

Quarterly not seasonally adjusted values are expressed only at quarterly rates.

Percent changes . Percent changes in quarterly seasonally adjusted series are displayed at annual rates, unless otherwise specified. For details, refer to the FAQ " How is average annual growth calculated? " and " Why does BEA publish percent changes in quarterly series at annual rates? " Percent changes in quarterly not seasonally adjusted values are calculated from the same quarter one year ago. All published percent changes are calculated from unrounded data.

Calendar years and quarters . Unless noted otherwise, annual and quarterly data are presented on a calendar basis.

Quantities and prices . Quantities, or "real" volume measures, and prices are expressed as index numbers with a specified reference year equal to 100 (currently 2017). Quantity and price indexes are calculated using a Fisher-chained weighted formula that incorporates weights from two adjacent periods (quarters for quarterly data and annuals for annual data). For details on the calculation of quantity and price indexes, refer to Chapter 4: Estimating Methods in the NIPA Handbook .

Chained-dollar values are calculated by multiplying the quantity index by the current dollar value in the reference year (2017) and then dividing by 100. Percent changes calculated from real quantity indexes and chained-dollar levels are conceptually the same; any differences are due to rounding. Chained-dollar values are not additive because the relative weights for a given period differ from those of the reference year. In tables that display chained-dollar values, a "residual" line shows the difference between the sum of detailed chained-dollar series and its corresponding aggregate.

Updates to GDP

BEA releases three vintages of the current quarterly estimate for GDP. "Advance" estimates are released near the end of the first month following the end of the quarter and are based on source data that are incomplete or subject to further revision by the source agency. "Second" and "third" estimates are released near the end of the second and third months, respectively, and are based on more detailed and more comprehensive data as they become available.

The table below shows the average revisions to the quarterly percent changes in real GDP between different estimate vintages, without regard to sign.

Annual and comprehensive updates are released in late September. Annual updates generally cover at least the five most recent calendar years (and their associated quarters) and incorporate newly available major annual source data as well as some changes in methods and definitions to improve the accounts. Comprehensive (or benchmark) updates are carried out at about 5-year intervals and incorporate major periodic source data, as well as major conceptual improvements.

Unlike GDP, advance current quarterly estimates of GDI and corporate profits are not released because data on domestic profits and net interest of domestic industries are not available. For fourth quarter estimates, these data are not available until the third estimate.

GDP by industry and gross output estimates are released with the third estimate of GDP.