presentation school data

• New lesson plans
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• Financial presentations
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Present informative and engaging school data

Presenting complex school reports during a conference isn’t a useful way to get feedback and input about priorities. You need an easy way to evaluate school performance data and share your insights in a visually compelling way.

Access historical student data from your school’s SharePoint site. You can store quarterly conference reports in one location and allow school staff with permission to access the data. 

Import your findings in Excel to discover trends, insights, and forecast future needs. Create graphs to transform reports into visual data that’s easy to understand and share. 

When you’re ready to present your reports, create PowerPoint presentations using one of the professionally designed themes or create your own custom template. Include your graphs from Excel to support your findings, get feedback, and make better, more informed decisions.

Create one location to store school reports and data.

Understand trends and forecast future needs.

Use visually compelling graphs in presentations to support insights.

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Home Blog Design Understanding Data Presentations (Guide + Examples)

Understanding Data Presentations (Guide + Examples)

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

Table of Contents

What is a Data Presentation?

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

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

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

Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of storytelling with data, 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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Presenting school achievement data: templates, download and adapt our templates to present your school's achievement data to governors, parents or other interested groups., performance data will be published for 2022/23, performance data for 2021/22, primary schools: performance data not published for 2021/22.

• Secondary schools: performance data was published for 2021/22
• All schools: no data published for 2019/20 and 2020/21
• Download our templates to display your data 
• Let people know where they can find more details 

The DfE plans to:

• Publish Key Stage (KS) 2 primary assessment data in  KS2 performance tables
• Revert to its usual methodology for KS4 measures in 2022/23

This is explained on page 6 for guidance for primary schools and page 12 for  secondary schools .

All schools: no data

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• Action plan to raise progress: template and guidance
• Analysing pupil performance data
• Using data to support school improvement
• What not to do with pupil performance data
• Primary school performance data: pupils with SEN
• Attainment and progress: know the difference

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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

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

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

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

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Data Storytelling: How to Effectively Tell a Story with Data

• 23 Nov 2021

When you hear the term “data analysis,” what do you think of? Your mind may jump to scouring spreadsheets, implementing algorithms, and making mathematical calculations—all “hard skills” of data analysis. Yet, hard skills are useless without their soft skill counterparts. It’s not enough to just analyze data; you need to know how to communicate the story it tells in a clear, compelling manner—a skill called data storytelling .

According to the Bureau of Labor Statistics , the demand for research analysts is expected to grow 25 percent between 2020 and 2030, much faster than the average across all industries. Many companies have begun including data storytelling as a required skill in analyst job descriptions, while others have opted to hire for data storyteller positions to supplement their existing analytics teams’ abilities. Possessing the skills to both analyze data and communicate its insights can help you stand out as a well-rounded candidate.

Here’s a primer on the key components of data storytelling, why storytelling is an impactful communication tool, and how to craft a compelling narrative of your own.

Access your free e-book today.

What Is Data Storytelling?

Data storytelling is the ability to effectively communicate insights from a dataset using narratives and visualizations. It can be used to put data insights into context for and inspire action from your audience.

There are three key components to data storytelling:

• Data: Thorough analysis of accurate, complete data serves as the foundation of your data story. Analyzing data using descriptive , diagnostic , predictive , and prescriptive analysis can enable you to understand its full picture.
• Narrative: A verbal or written narrative, also called a storyline, is used to communicate insights gleaned from data, the context surrounding it, and actions you recommend and aim to inspire in your audience.
• Visualizations: Visual representations of your data and narrative can be useful for communicating its story clearly and memorably. These can be charts, graphs, diagrams, pictures, or videos.

Data storytelling can be used internally (for instance, to communicate the need for product improvements based on user data) or externally (for instance, to create a compelling case for buying your product to potential customers).

Related: The Advantages of Data-Driven Decision-Making

The Psychological Power of Storytelling

Humans have told stories since the Cro-Magnon era to communicate with others for survival and record accounts of daily life. While storytelling methods have come a long way since the days of cave paintings, its psychological power holds true tens of thousands of years later.

The brain’s preference for stories over pure data stems from the fact that it takes in so much information every day and needs to determine what’s important to process and remember and what can be discarded.

When someone hears a story, multiple parts of the brain are engaged, including:

• Wernicke’s area, which controls language comprehension
• The amygdala, which processes emotional response
• Mirror neurons, which play a role in empathizing with others

When multiple areas of the brain are engaged, the hippocampus—which stores short-term memories—is more likely to convert the experience of hearing a story into a long-term memory.

Rather than presenting your team with a spreadsheet of data and rattling off numbers, consider how you can engage multiple parts of their brains. Using data storytelling, you can evoke an emotional response on a neural level that can help your points be remembered and acted upon.

How to Craft a Compelling Data Narrative

Data storytelling uses the same narrative elements as any story you’ve read or heard before: characters, setting, conflict, and resolution.

To help illustrate this, imagine you’re a data analyst and just discovered your company’s recent decline in sales has been driven by customers of all genders between the ages of 14 and 23. You find that the drop was caused by a viral social media post highlighting your company’s negative impact on the environment, and craft a narrative using the four key story elements:

• Characters: The players and stakeholders include customers between the ages of 14 and 23, environmentally conscious consumers, and your internal team. This doesn’t need to be part of your presentation, but you should define the key players for yourself beforehand.
• Setting: Set the scene by explaining there’s been a recent drop in sales driven by customers of all genders ages 14 to 23. Use a data visualization to show the decline across audience types and highlight the largest drop in young users.
• Conflict: Describe the root issue: A viral social media post highlighted your company’s negative impact on the environment and caused tens of thousands of young customers to stop using your product. Incorporate research (such as this article in the Harvard Business Review ) about how consumers are more environmentally conscious than ever and how sustainably-marketed products can potentially drive more revenue than their unsustainable counterparts. Remind the team of your company’s current unsustainable manufacturing practices to clarify why customers stopped purchasing your product. Use visualizations here, too.
• Resolution: Propose your solution. Based on this data, you present a long-term goal to pivot to sustainable manufacturing practices. You also center marketing and public relations efforts on making this pivot visible across all audience segments. Use visualizations that show the investment required for sustainable manufacturing practices can pay off in the form of earning customers from the growing environmentally conscious market segment.

If there isn’t a conflict in your data story—for instance, if the data showed your current marketing campaign was driving traffic and exceeding your goal—you can skip that element and go straight to recommending that the current course of action be maintained.

Whatever story the data tells, you can communicate it effectively by formatting your narrative with these elements and walking your audience through each piece with the help of visualizations.

Communicating the Need for Action

Data storytelling can help turn data insights into action. Without effective communication, insights can go unnoticed or unremembered by your audience; both hard and soft skills are crucial for leveraging data to its fullest potential.

Harvard Business School Professor Jan Hammond speaks to this in the online course Business Analytics , one of three courses that make up the Credential of Readiness (CORe) program.

“Always remember that applying analytical techniques to managerial problems requires both art and science,” Hammond says. “Over my career, I’ve learned that it’s the soft skills that are the hardest to master, but they’re critically important.”

Do you want to become a data-driven professional? Explore our eight-week Business Analytics course and our three-course Credential of Readiness (CORe) program to deepen your analytical skills and apply them to real-world business problems.

About the Author

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

Leah Nguyen • 05 Apr 2024 • 11 min read

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

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

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

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

Table of Contents

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

#2 – Text

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

• 5 Mistakes to Avoid
• Best Method of Data Presentation

Frequently Asked Questions

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What are Methods of Data Presentation?

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

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

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

Good data presentation helps…

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

Methods of Data Presentation and Examples

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

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

#1 – Tabular 

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

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

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

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

(Source: CustomerThermometer )

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

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

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

Bonus example: A literal ‘pie’ chart! 🥧

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

They can be as simple as this:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

5 Data Presentation Mistakes to Avoid

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

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

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

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

#2 – Use the wrong type of chart

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

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

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

#3 – Make it 3D

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

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

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

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

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

#5 – Bombard the audience with too much information

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

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

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

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

For example:

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

What is chart presentation?

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

When can I use charts for presentation?

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

Why should use charts for presentation?

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

What are the 4 graphical methods of presenting data?

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

Leah Nguyen

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

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75 Unique School Presentation Ideas and Topics Plus Templates

Are you tired of seeing the same PowerPoints repeating overused and unoriginal school presentation ideas covering repeated topics in your classes?

You know what I’m talking about; we’ve all been there, and sat through yawn-worthy demonstrations, slides, or presentation videos covering everything from the solar system, someone’s favorite pet, past presidents of a country, to why E=mC squared.

From grade school to university, first graders to college students, we are obligated to create, perform, and observe academic presentations across a plethora of curriculums and classes, and not all of these public speaking opportunities fall into the category of an ‘interesting topic’.

Yet, have no fear! Here at Piktochart, we are here to help you and your classmates. From giving examples of creative and even interactive presentation ideas, providing presentation videos , and suggesting interactive activities to give your five minutes of fame the ‘wow’ factor that it deserves, this article is your guide!

Our massive collection of unique school and college presentation ideas and templates applies if you’re:

• A teacher looking to make your class more engaging and fun with student presentations.
• A student who wants to impress your teacher and the rest of the class with a thought-provoking, interesting topic.

A Curated List of Interesting Topics for School Presentations

Did you know that when it comes to presentations , the more students involved improves retention? The more you know! Yet sometimes, you need a little help to get the wheels moving in your head for your next school presentation .

The great thing about these ideas and topics is you can present them either in face-to-face classes or virtual learning sessions.

Each school presentation idea or topic below also comes with a template that you can use. Create a free Piktochart account to try our presentation maker and get access to the high-quality version of the templates. You can also check out our Piktochart for Education plan .

Want to watch this blog post in video format? The video below is for you!

The templates are further divided into the following categories covering the most popular and best presentation topics. Click the links below to skip to a specific section.

• Unique science presentation topics to cultivate curiosity in class
• Engaging culture and history presentation ideas to draw inspiration from
• Health class presentation topics to help students make healthy lifestyle decisions
• Data visualization ideas to help students present an overwhelming amount of data and information into clear, engaging visuals
• First day of school activity ideas to foster classroom camaraderie
• Communication and media topics to teach students the importance of effective communication
• Topics to help students prepare for life after school

We hope this list will inspire you and help you nail your next school presentation activity.

Unique Science Presentation Topics to Cultivate Curiosity in Class

Science is a broad field and it’s easy to feel overwhelmed with too many topics to choose for your next presentation.

Cultivate curiosity in the science classroom with the following unique and creative presentation ideas and topics:

1. Can life survive in space?

2. Do plants scream when they’re in pain?

3. What are the traits of successful inventors?

4. How vaccines work

5. Massive destruction of the Koala’s habitat in Australia

6. Left brain versus right brain

7. What are great sources of calcium?

Get access to high-quality, unique school presentation templates by Piktochart for Education.

Create and collaborate in the classroom using Piktochart’s customizable and printable templates for your school reports, presentations, and infographics.

8. Recycling facts you need to know

9. Do you have what it takes to be a NASA astronaut?

10. The rise of robots and AI: Should we be afraid of them?

11. How far down does the sea go?

12. The stages of sleep

13. Will Mars be our home in 2028?

14. A quick look at laboratory safety rules

15. The first person in history to break the sound barrier

Engaging Culture and History Presentation Ideas to Draw Inspiration From

History is filled with equally inspiring and terrifying stories, and there are lessons that students can learn from the events of the past. Meanwhile, interactive presentations about culture help students learn and embrace diversity. 

16. Women in history: A conversation through time

17. The sweet story of chocolate 

18. A history lesson with a twist 

19. The history of basketball 

20. The origin of the Halloween celebration 

21. AI History 

22. What you need to know about New Zealand 

23. 1883 volcanic eruption of Krakatoa 

24. Roman structures: 2000 years of strength

25. The most famous art heists in history 

26. Elmo: The story behind a child icon 

27. 10 things you should know before you visit South Korea 

28. 8 things you didn’t know about these 8 countries 

Health Class Presentation Topics to Help Students Make Healthy Lifestyle Decisions

Want to learn how to engage students with healthcare topic ideas? Then consider using these templates for your next interactive presentation.

According to the CDC , school-based health education contributes to the development of functional health knowledge among students. It also helps them adapt and maintain health-promoting behaviors throughout their lives. 

Not only will your presentation help with keeping students engaged, but you’ll also increase class involvement with the right slides.

The following examples of health and wellness interactive presentations include fun ideas and topics that are a good start. 

29. How to look after your mental health?

30. The eradication of Polio

31. How to have a healthy lifestyle 

32. 10 handwashing facts 

33. Myths and facts about depression

34. Hacks for making fresh food last longer 

35. Ways to avoid spreading the coronavirus

36. Mask protection in 5 simple steps 

37. Everything you need to know about the flu

38. All about stress: Prevention, tips, and how to cope 

39. The importance of sleep 

40. Is milk tea bad for you?

41. How to boost happiness in 10 minutes

42. How dirty are debit and credit cards 

43. Why do you need sunscreen protection

Data Visualization Ideas to Help Students Present Overwhelming Amounts of Data in Creative Ways

Data visualization is all about using visuals to make sense of data. Students need to pull the main points from their extensive research, and present them by story telling while being mindful of their classmates’ collective attention span.

As far as student assignments go, storytelling with data is a daunting task for students and teachers alike. To keep your audience interested, consider using a non linear presentation that presents key concepts in creative ways.

Inspire your class to be master data storytellers with the following data visualization ideas:

44. Are we slowly losing the Borneo rainforest?

45. Skateboard deck design over the years

46. Food waste during the Super Bowl

47. The weight of the tallest building in the world

48. Infographic about data and statistics

49. Stats about cyberbullying

50. How whales combat climate change

First Day of School Interactive Activity Ideas to Foster Whole-class-Camaraderie

Calling all teachers! Welcome your new students and start the school year with the following back-to-school creative presentation ideas and relevant templates for first-day-of-school activities.

These interactive presentations grab the attention of your students and are remarkably easy to execute (which is the main educator’s goal after all)!

51. Meet the teacher

52. Example: all about me

53. Self-introduction

54. Tips on how to focus on schoolwork

55. Course plan and schedule

Give our class schedule maker a try to access more templates for free. You can also access our presentation-maker , poster-maker , timeline-maker , and more by simply signing up .

56. Interpreting a student’s report card (for parents)

57. Introduction of classroom rules

58. Assignment schedule

59. Daily planner

60. Course syllabus presentation

61. How to write a class presentation

Topics to Teach Students the Importance of Effective Communication

Visual media  helps students retain more of the concepts  taught in the classroom. The following media topics and infographic templates can help you showcase complex concepts in a short amount of time. 

In addition, interactive presentation activities using these templates also encourage the development of a holistic learning process in the classroom because they help focus on the  three domains of learning:  cognitive, affective, and psychomotor. 

62. Interactive presentation do’s and don’ts 

63. How to create an infographic 

Recommended reading : How to Make an Infographic in 30 Minutes

64. How to improve your internet security and privacy

65. What is design thinking?

66. What are your favorite software tools to use in the classroom? 

Presentation Topic Ideas to Help Students Prepare for Life After School

One of the things that makes teaching a rewarding career is seeing your students take the learning and knowledge you’ve instilled in them, and become successful, productive adults.

From pitching a business idea to starting your podcast, the following topics are good starting points to prepare students for the challenges after graduation (aka adulting 101):

67. How to make a resume

68. How to start a startup

69. Credit card vs. debit card

70. Pros and cons of cryptocurrency

71. How to save on travel

72. How to do a SWOT analysis

73. How to pitch a business idea

74. Habits of successful people

75. Starting your own podcast: A checklist

Find out how a high school teacher like Jamie Barkin uses Piktochart to improve learning in the classroom for her students.

Pro tip: make your presentation as interactive as possible. Students have an attention span of two to three minutes per year of age. To keep minds from wandering off, include some interactive games or activities in the lesson. For example, if you conducted a lesson on the respiratory system, you could ask them to practice breathing techniques.

Maintain eye contact with your students, and you’ll get instant feedback on how interested they are in the interactive presentation.

Make School Presentation Visuals Without the Hassle of Making Them From Scratch

School presentations, when done right, can help teachers engage their classes and improve students’ education effectively by presenting information using the right presentation topic. 

If you’re pressed for time and resources to make your school presentation visuals , choose a template from Piktochart’s template gallery . Aside from the easy customization options, you can also print and download these templates to your preferred format. 

Piktochart also professional templates to create infographics , posters , brochures , reports , and more.

Creating school-focused, engaging, and interactive presentations can be tedious at first, but with a little bit of research and Piktochart’s handy templates, you’re going to do a great job!

The future of learning is interactivity and collaboration.

Foster interactive and collaborative learning using Piktochart for Education. Share your work, get feedback, and brainstorm on the fly. With Piktochart, everyone’s on the same page. Finally.

Kyjean Tomboc is an experienced content marketer for healthcare, design, and SaaS brands. She also manages content (like a digital librarian of sorts). She lives for mountain trips, lap swimming, books, and cats.

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Do you want to be part of these success stories, join more than 11 million who already use piktochart to craft visual stories that stick..

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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It is the simplest form of data Presentation often used in schools or universities to provide a clearer picture to students, who are better able to capture the concepts effectively through a pictorial Presentation of simple data.

2. Column chart

It is a simplified version of the pictorial Presentation which involves the management of a larger amount of data being shared during the presentations and providing suitable clarity to the insights of the data.

3. Pie Charts

Pie charts provide a very descriptive & a 2D depiction of the data pertaining to comparisons or resemblance of data in two separate fields.

4. Bar charts

A bar chart that shows the accumulation of data with cuboid bars with different dimensions & lengths which are directly proportionate to the values they represent. The bars can be placed either vertically or horizontally depending on the data being represented.

5. Histograms

It is a perfect Presentation of the spread of numerical data. The main differentiation that separates data graphs and histograms are the gaps in the data graphs.

6. Box plots

Box plot or Box-plot is a way of representing groups of numerical data through quartiles. Data Presentation is easier with this style of graph dealing with the extraction of data to the minutes of difference.

Map Data graphs help you with data Presentation over an area to display the areas of concern. Map graphs are useful to make an exact depiction of data over a vast case scenario.

All these visual presentations share a common goal of creating meaningful insights and a platform to understand and manage the data in relation to the growth and expansion of one’s in-depth understanding of data & details to plan or execute future decisions or actions.

Importance of Data Presentation

Data Presentation could be both can be a deal maker or deal breaker based on the delivery of the content in the context of visual depiction.

Data Presentation tools are powerful communication tools that can simplify the data by making it easily understandable & readable at the same time while attracting & keeping the interest of its readers and effectively showcase large amounts of complex data in a simplified manner.

If the user can create an insightful presentation of the data in hand with the same sets of facts and figures, then the results promise to be impressive.

There have been situations where the user has had a great amount of data and vision for expansion but the presentation drowned his/her vision.

To impress the higher management and top brass of a firm, effective presentation of data is needed.

Data Presentation helps the clients or the audience to not spend time grasping the concept and the future alternatives of the business and to convince them to invest in the company & turn it profitable both for the investors & the company.

Although data presentation has a lot to offer, the following are some of the major reason behind the essence of an effective presentation:-

• Many consumers or higher authorities are interested in the interpretation of data, not the raw data itself. Therefore, after the analysis of the data, users should represent the data with a visual aspect for better understanding and knowledge.
• The user should not overwhelm the audience with a number of slides of the presentation and inject an ample amount of texts as pictures that will speak for themselves.
• Data presentation often happens in a nutshell with each department showcasing their achievements towards company growth through a graph or a histogram.
• Providing a brief description would help the user to attain attention in a small amount of time while informing the audience about the context of the presentation
• The inclusion of pictures, charts, graphs and tables in the presentation help for better understanding the potential outcomes.
• An effective presentation would allow the organization to determine the difference with the fellow organization and acknowledge its flaws. Comparison of data would assist them in decision making.

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School Data Analysis

Aug 15, 2014

350 likes | 1.07k Views

School Data Analysis. Leslie Acree , EDU 6015 Trevecca Nazarene University. South Gibson Co. High School Home of the Hornets. Based on 2012 School Report Card Data SGC is a new school that opened in 2009. Built for 525 students; 2012 data shows 555 students

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School Data Analysis Leslie Acree, EDU 6015 Trevecca Nazarene University

South Gibson Co. High SchoolHome of the Hornets • Based on 2012 School Report Card Data • SGC is a new school that opened in 2009. • Built for 525 students; 2012 data shows 555 students • Fall 2012 shows 625 in building.

South Gibson County Students

Economically Disadvantaged

Teacher Demographics • SGC has 45 teachers with their average teaching experience being approx. 8 years. • 98.1% of courses are taught by Highly Qualified Teachers • Rate of teacher turnover seems high, though % is unknown. • Max. # of students per course is 35 for core subjects, 25 for CTE, computer apps

SGC’s Strengths • Areas of Strength include: • Safe and Orderly Environment with limited interruptions on student learning • High expectations are communicated within the building • Staff is committed to creating a rigorous, relevant environment

SGC’s Strengths • Safe School • Vandalism is rare • Minimal violence • Students actively involved in learning process • Students are recognized for achievement frequently • Nurse’s Clinic on site • Parents are involved in the child’s education for the most part. • ICU Program and Peer Tutoring have been implemented and evaluated regularly to provide the best help for students to show mastery. • Report Card shows no detectable decline in Value-Added.

Leadership Staff and administration are working towards creating a school that is mission-driven, rigorous, and relevant Administration responds to communication. Staff is committed to fulfilling the school’s mission Community understands and supports the school "Coming together is a beginning, staying together is progress,  and working together is success.”        - Henry Ford

English II Test Demographics • Graph shows only subgroups recorded on the school report card which could account for a discrepancy from percentages on previous slide where total number of students were calculated.

Algebra I Demographics • Econ. Disadvantaged was not calculated by the state because SGC did not meet baseline requirement.

Areas of Growth: • Building needs to meet needs of students at current capacity. • Parental involvement needs to improve • Community buy-in needs to include more than athletics

Concerns moving forward… • As student population increases, so will #’s in subgroups that will eventually count towards AYP (SPED and African Americans) • Are interventions working as we move forward? • Progressive grading • Reading intervention • Power standards • Academic vocabulary within all subjects • What new interventions do we need to put in place to meet even higher goals? • Technology improvements/building capacity

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Presentation Warrenmount 4+

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About 1 in 4 u.s. teachers say their school went into a gun-related lockdown in the last school year.

Twenty-five years after the mass shooting at Columbine High School in Colorado , a majority of public K-12 teachers (59%) say they are at least somewhat worried about the possibility of a shooting ever happening at their school. This includes 18% who say they’re extremely or very worried, according to a new Pew Research Center survey.

Pew Research Center conducted this analysis to better understand public K-12 teachers’ views on school shootings, how prepared they feel for a potential active shooter, and how they feel about policies that could help prevent future shootings.

To do this, we surveyed 2,531 U.S. public K-12 teachers from Oct. 17 to Nov. 14, 2023. The teachers are members of RAND’s American Teacher Panel, a nationally representative panel of public school K-12 teachers recruited through MDR Education. Survey data is weighted to state and national teacher characteristics to account for differences in sampling and response to ensure they are representative of the target population.

We also used data from our 2022 survey of U.S. parents. For that project, we surveyed 3,757 U.S. parents with at least one child younger than 18 from Sept. 20 to Oct. 2, 2022. Find more details about the survey of parents here .

Here are the questions used for this analysis , along with responses, and the survey methodology .

Another 31% of teachers say they are not too worried about a shooting occurring at their school. Only 7% of teachers say they are not at all worried.

This survey comes at a time when school shootings are at a record high (82 in 2023) and gun safety continues to be a topic in 2024 election campaigns .

Teachers’ experiences with lockdowns

About a quarter of teachers (23%) say they experienced a lockdown in the 2022-23 school year because of a gun or suspicion of a gun at their school. Some 15% say this happened once during the year, and 8% say this happened more than once.

High school teachers are most likely to report experiencing these lockdowns: 34% say their school went on at least one gun-related lockdown in the last school year. This compares with 22% of middle school teachers and 16% of elementary school teachers.

Teachers in urban schools are also more likely to say that their school had a gun-related lockdown. About a third of these teachers (31%) say this, compared with 19% of teachers in suburban schools and 20% in rural schools.

Do teachers feel their school has prepared them for an active shooter?

About four-in-ten teachers (39%) say their school has done a fair or poor job providing them with the training and resources they need to deal with a potential active shooter.

A smaller share (30%) give their school an excellent or very good rating, and another 30% say their school has done a good job preparing them.

Teachers in urban schools are the least likely to say their school has done an excellent or very good job preparing them for a potential active shooter. About one-in-five (21%) say this, compared with 32% of teachers in suburban schools and 35% in rural schools.

Teachers who have police officers or armed security stationed in their school are more likely than those who don’t to say their school has done an excellent or very good job preparing them for a potential active shooter (36% vs. 22%).

Overall, 56% of teachers say they have police officers or armed security stationed at their school. Majorities in rural schools (64%) and suburban schools (56%) say this, compared with 48% in urban schools.

Only 3% of teachers say teachers and administrators at their school are allowed to carry guns in school. This is slightly more common in school districts where a majority of voters cast ballots for Donald Trump in 2020 than in school districts where a majority of voters cast ballots for Joe Biden (5% vs. 1%).

What strategies do teachers think could help prevent school shootings?

The survey also asked teachers how effective some measures would be at preventing school shootings.

Most teachers (69%) say improving mental health screening and treatment for children and adults would be extremely or very effective.

About half (49%) say having police officers or armed security in schools would be highly effective, while 33% say the same about metal detectors in schools.

Just 13% say allowing teachers and school administrators to carry guns in schools would be extremely or very effective at preventing school shootings. Seven-in-ten teachers say this would be not too or not at all effective.

How teachers’ views differ by party

Republican and Republican-leaning teachers are more likely than Democratic and Democratic-leaning teachers to say each of the following would be highly effective:

• Having police officers or armed security in schools (69% vs. 37%)
• Having metal detectors in schools (43% vs. 27%)
• Allowing teachers and school administrators to carry guns in schools (28% vs. 3%)

And while majorities in both parties say improving mental health screening and treatment would be highly effective at preventing school shootings, Democratic teachers are more likely than Republican teachers to say this (73% vs. 66%).

Parents’ views on school shootings and prevention strategies

In fall 2022, we asked parents a similar set of questions about school shootings.

Roughly a third of parents with K-12 students (32%) said they were extremely or very worried about a shooting ever happening at their child’s school. An additional 37% said they were somewhat worried.

As is the case among teachers, improving mental health screening and treatment was the only strategy most parents (63%) said would be extremely or very effective at preventing school shootings. And allowing teachers and school administrators to carry guns in schools was seen as the least effective – in fact, half of parents said this would be not too or not at all effective. This question was asked of all parents with a child younger than 18, regardless of whether they have a child in K-12 schools.

Like teachers, parents’ views on strategies for preventing school shootings differed by party. 

Note: Here are the questions used for this analysis , along with responses, and the survey methodology .

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Among many u.s. children, reading for fun has become less common, federal data shows, most european students learn english in school, for u.s. teens today, summer means more schooling and less leisure time than in the past, about one-in-six u.s. teachers work second jobs – and not just in the summer, most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

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Microsoft Pitched OpenAI’s DALL-E as Battlefield Tool for U.S. Military

Any battlefield use of the software would be a dramatic turnaround for OpenAI, which describes its mission as developing AI that can benefit all of humanity.

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Microsoft last year proposed using OpenAI’s mega-popular image generation tool, DALL-E, to help the Department of Defense build software to execute military operations, according to internal presentation materials reviewed by The Intercept. The revelation comes just months after OpenAI silently ended its prohibition against military work.

The Microsoft presentation deck, titled “ Generative AI with DoD Data ,” provides a general breakdown of how the Pentagon can make use of OpenAI’s machine learning tools, including the immensely popular ChatGPT text generator and DALL-E image creator, for tasks ranging from document analysis to machine maintenance. (Microsoft invested $10 billion in the ascendant machine learning startup last year, and the two businesses have become tightly intertwined. In February, The Intercept and other digital news outlets  sued Microsoft and OpenAI  for using their journalism without permission or credit.)

The Microsoft document is drawn from a large cache of materials presented at an October 2023 Department of Defense “AI literacy” training seminar hosted by the U.S. Space Force in Los Angeles. The event included a variety of presentation from machine learning firms, including Microsoft and OpenAI, about what they have to offer the Pentagon.

The publicly accessible files were found on the website of Alethia Labs, a nonprofit consultancy that helps the federal government with technology acquisition, and discovered by journalist Jack Poulson . On Wednesday, Poulson published a broader investigation into the presentation materials. Alethia Labs has worked closely with the Pentagon to help it quickly integrate artificial intelligence tools into its arsenal, and since last year has contracted with the Pentagon’s main AI office. The firm did not respond to a request for comment.

One page of the Microsoft presentation highlights a variety of “common” federal uses for OpenAI, including for defense. One bullet point under “Advanced Computer Vision Training” reads: “Battle Management Systems: Using the DALL-E models to create images to train battle management systems.” Just as it sounds, a battle management system is a command-and-control software suite that provides military leaders with a situational overview of a combat scenario, allowing them to coordinate things like artillery fire, airstrike target identification, and troop movements. The reference to computer vision training suggests artificial images conjured by DALL-E could help Pentagon computers better “see” conditions on the battlefield, a particular boon for finding — and annihilating — targets.

In an emailed statement, Microsoft told The Intercept that while it had pitched the Pentagon on using DALL-E to train its battlefield software, it had not begun doing so. “This is an example of potential use cases that was informed by conversations with customers on the art of the possible with generative AI.” Microsoft, which declined to attribute the remark to anyone at the company, did not explain why a “potential” use case was labeled as a “common” use in its presentation.

OpenAI spokesperson Liz Bourgeous said OpenAI was not involved in the Microsoft pitch and that it had not sold any tools to the Department of Defense. “OpenAI’s policies prohibit the use of our tools to develop or use weapons, injure others or destroy property,” she wrote. “We were not involved in this presentation and have not had conversations with U.S. defense agencies regarding the hypothetical use cases it describes.”

Bourgeous added, “We have no evidence that OpenAI models have been used in this capacity. OpenAI has no partnerships with defense agencies to make use of our API or ChatGPT for such purposes.”

At the time of the presentation, OpenAI’s policies seemingly would have prohibited a military use of DALL-E. Microsoft told The Intercept that if the Pentagon used DALL-E or any other OpenAI tool through a contract with Microsoft, it would be subject to the usage policies of the latter company. Still, any use of OpenAI technology to help the Pentagon more effectively kill and destroy would be a dramatic turnaround for the company, which describes its mission as developing safety-focused artificial intelligence that can benefit all of humanity.

“It’s not possible to build a battle management system in a way that doesn’t, at least indirectly, contribute to civilian harm.”

“It’s not possible to build a battle management system in a way that doesn’t, at least indirectly, contribute to civilian harm,” Brianna Rosen, a visiting fellow at Oxford University’s Blavatnik School of Government who focuses on technology ethics.

Rosen, who worked on the National Security Council during the Obama administration, explained that OpenAI’s technologies could just as easily be used to help people as to harm them, and their use for the latter by any government is a political choice. “Unless firms such as OpenAI have written guarantees from governments they will not use the technology to harm civilians — which still probably would not be legally-binding — I fail to see any way in which companies can state with confidence that the technology will not be used (or misused) in ways that have kinetic effects.”

The presentation document provides no further detail about how exactly battlefield management systems could use DALL-E. The reference to training these systems, however, suggests that DALL-E could be to used to furnish the Pentagon with so-called synthetic training data: artificially created scenes that closely resemble germane, real-world imagery. Military software designed to detect enemy targets on the ground, for instance, could be shown a massive quantity of fake aerial images of landing strips or tank columns generated by DALL-E in order to better recognize such targets in the real world.

Even putting aside ethical objections, the efficacy of such an approach is debatable. “It’s known that a model’s accuracy and ability to process data accurately deteriorates every time it is further trained on AI-generated content,” said Heidy Khlaaf, a machine learning safety engineer who previously contracted with OpenAI. “Dall-E images are far from accurate and do not generate images reflective even close to our physical reality, even if they were to be fine-tuned on inputs of Battlefield management system. These generative image models cannot even accurately generate a correct number of limbs or fingers, how can we rely on them to be accurate with respect to a realistic field presence?”

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In an interview last month with the Center for Strategic and International Studies, Capt. M. Xavier Lugo of the U.S. Navy envisioned a military application of synthetic data exactly like the kind DALL-E can crank out, suggesting that faked images could be used to train drones to better see and recognize the world beneath them.

Lugo, mission commander of the Pentagon’s generative AI task force and member of the Department of Defense Chief Digital and Artificial Intelligence Office, is listed as a contact at the end of the Microsoft presentation document. The presentation was made by Microsoft employee Nehemiah Kuhns, a “technology specialist” working on the Space Force and Air Force.

The Air Force is currently building the Advanced Battle Management System, its portion of a broader multibillion-dollar Pentagon project called the Joint All-Domain Command and Control, which aims to network together the entire U.S. military for expanded communication across branches, AI-powered data analysis, and, ultimately, an improved capacity to kill. Through JADC2, as the project is known, the Pentagon envisions a near-future in which Air Force drone cameras, Navy warship radar, Army tanks, and Marines on the ground all seamlessly exchange data about the enemy in order to better destroy them.

On April 3, U.S. Central Command revealed it had already begun using elements of JADC2 in the Middle East.

The Department of Defense didn’t answer specific questions about the Microsoft presentation, but spokesperson Tim Gorman told The Intercept that “the [Chief Digital and Artificial Intelligence Office’s] mission is to accelerate the adoption of data, analytics, and AI across DoD. As part of that mission, we lead activities to educate the workforce on data and AI literacy, and how to apply existing and emerging commercial technologies to DoD mission areas.”

While Microsoft has long reaped billions from defense contracts, OpenAI only recently acknowledged it would begin working with the Department of Defense. In response to The Intercept’s January report on OpenAI’s military-industrial about face, the company’s spokesperson Niko Felix said that even under the loosened language, “Our policy does not allow our tools to be used to harm people, develop weapons, for communications surveillance, or to injure others or destroy property.”

“The point is you’re contributing to preparation for warfighting.”

Whether the Pentagon’s use of OpenAI software would entail harm or not might depend on a literal view of how these technologies work, akin to arguments that the company that helps build the gun or trains the shooter is not responsible for where it’s aimed or pulling the trigger. “They may be threading a needle between the use of [generative AI] to create synthetic training data and its use in actual warfighting,” said Lucy Suchman, professor emerita of anthropology of science and technology at Lancaster University. “But that would be a spurious distinction in my view, because the point is you’re contributing to preparation for warfighting.”

Unlike OpenAI, Microsoft has little pretense about forgoing harm in its “responsible AI” document and openly promotes the military use of its machine learning tools .

OpenAI Quietly Deletes Ban on Using ChatGPT for “Military and Warfare”

Following its policy reversal, OpenAI was also quick to emphasize to the public and business press that its collaboration with the military was of a defensive, peaceful nature. In a January interview at Davos responding to The Intercept’s reporting, OpenAI vice president of global affairs Anna Makanju assured panel attendees that the company’s military work was focused on applications like cybersecurity initiatives and veteran suicide prevention, and that the company’s groundbreaking machine learning tools were still forbidden from causing harm or destruction.

Contributing to the development of a battle management system, however, would place OpenAI’s military work far closer to warfare itself. While OpenAI’s claim of avoiding direct harm could be technically true if its software does not directly operate weapons systems, Khlaaf, the machine learning safety engineer, said, its “use in other systems, such as military operation planning or battlefield assessments” would ultimately impact “where weapons are deployed or missions are carried out.”

Indeed, it’s difficult to imagine a battle whose primary purpose isn’t causing bodily harm and property damage. An Air Force press release from March, for example, describes a recent battle management system exercise as delivering “lethality at the speed of data.”

Other materials from the AI literacy seminar series make clear that “harm” is, ultimately, the point. A slide from a welcome presentation given the day before Microsoft’s asks the question, “Why should we care?” The answer: “We have to kill bad guys.” In a nod to the “literacy” aspect of the seminar, the slide adds, “We need to know what we’re talking about… and we don’t yet.”

Update: April 11, 2024 This article was updated to clarify Microsoft’s promotion of its work with the Department of Defense.

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Campus crime is spiking to pre-pandemic levels. See your college’s numbers in our data.

Parents in some corners of the country are concerned by the spike. experts say they aren't worried and the numbers are largely consistent with trends over the past decade..

As students returned to college campuses across the United States, so did campus crime, data shows, alarming some parents so much that they hired their own security force.

They raised more than $40,000 to hire private security at the University of California, Berkeley – much to the chagrin of campus administrators.

Half a dozen unarmed guards patrolled the campus for more than two weeks in March, according to Sagar Jethani, a father of two Berkeley sophomores involved in the effort. A month after Jethani dropped off his kids for their freshman year in October 2022, there was a fatal shooting near their dorm .

“This was a real rude awakening,” he told USA TODAY. 

Check out USA TODAY's Crimes on Campus tool for detailed information. Zoom in on the map below to search crimes on more than 10,000 college and university campuses. Don't see a map? Click here.

Jethani and other parents were concerned that crime across the city of Berkeley seemed on the rise. A February shooting scared some parents , too. No one was injured and a suspect was reportedly taken into custody. 

Hiring private security officers didn't sit well with Berkeley administrators. In a statement to USA TODAY, spokesperson Janet Gilmore said money intended to keep Berkeley students safe would best be spent supporting the school’s police force. 

“Hiring private security raises a number of concerns, including the training and experience of individuals hired by such firms,” Gilmore said.

Campus crime rebounds to pre-pandemic levels

The number of crimes reported by college campuses across the country rebounded to pre-pandemic levels in 2022, government data shows. 

Crime reported from nearly 6,000 institutions rose about 8% from 2019, even though enrollments dipped during that timeframe. The jump in offenses between 2019 and 2022 coincided with students’ post-pandemic return en masse to campuses. Compared with year-over-year changes before 2019, the recent spike represents the largest increase since post-secondary institutions that receive federal funding began reporting campus safety statistics.

Experts see little reason to worry and say the numbers are largely consistent with what colleges have been experiencing since 2013, according to S. Daniel Carter, president of the consulting firm Safety Advisors for Educational Campuses.

Following a steady decline starting around 2006, the number of crimes reported by colleges and universities remained pretty stagnant over the last decade, according to government data. Yet when foot traffic on and around campuses diminished in 2020 after classes went online during the pandemic, crime dropped precipitously in 2020. In the years since it has inched up again.

The recent increase was mostly driven by a surge in reported motor vehicle theft, which more than doubled from 2019 and accounted for more than a quarter of offenses in 2022. Carter was skeptical of that spike, saying it could be traced to schools changing their reporting requirements to comply with federal law. 

“There has been some work done to increase awareness that scooters and golf carts are motor vehicles – that could be a factor,” he said.

Government data is not yet available for 2023, so these numbers don’t account for the turmoil on college campuses in the wake of the Israel-Hamas war. Recent surveys show many Muslim and Jewish students reported feeling unsafe on campus since the Oct. 7 attacks, which prompted massive campus clashes and protests, as well as spikes in Islamophobic and antisemitic incidents . 

The reported numbers from 2022 include offenses that occurred on and off campus, including on university properties located elsewhere; offenses that occurred on public property adjacent to campuses, and a small number of offenses reported to institutions by local police.

Renewed push to encourage students to report crimes

Colleges and universities that receive federal funding must compile statistics about crimes that occur on or near campus under the Clery Act . The federal law, passed in 1990, was named after 20-year-old Jeanne Clery, a student whose rape and murder at her dorm at Lehigh University drew national attention. 

The tension colleges contend with in simultaneously trying to encourage students to report crimes and keep numbers down was on full display during a recent scandal at Liberty University, a private Evangelical university in Virginia.

The federal government concluded last year that the school created a culture of dissuading victims of sexual assault from reporting what happened to them, according to a preliminary report obtained by USA TODAY . Then, in March, the Education Department slapped the school with a $14 million fine and ordered officials to pay another $2 million for “on-campus safety improvements and compliance enhancements.” In a written statement in March, Dondi E. Costin, Liberty’s president, said the school sincerely regretted the errors. 

The scandal shed light on the consequences schools face if they don’t fully comply with the law, said Abigail Boyer, the associate executive director of the Clery Center, which tracks campus safety trends. 

“Ultimately, we want campuses to create a culture in which students are comfortable about reporting,” she said. 

Clery Act figures are self-reported, and the Department of Education doesn’t verify them independently. However, the agency conducts periodic reviews of Clery Act compliance. Over the past 15 years, the agency has evaluated at least 110 universities. Dozens of those cases have led to fines.

Do stolen scooters and e-bikes explain the apparent crime spike?

The Clery Act requires schools to report “motor vehicle thefts," but the statute doesn’t only include cars – scooters, electric bicycles and golf carts fall into the same category. 

Several schools said the spike in crime on or near their campuses in 2022 could be attributed to their revised reporting of scooter, electric bike and golf cart theft. In 2022, Grand Canyon University in Arizona began classifying thefts of skateboards, scooters and bikes under the umbrella of "motor vehicle theft." 

Spokesperson Bob Romantic said the “overwhelming majority” of the school's additional criminal offenses in 2022 were due to that change.

“Beyond that,” he said, “we saw slight increases in some other offenses due mostly to the rapid growth of our campus population, increased crime in the Phoenix area, and the fact that we were still coming out of COVID.” 

David Kelly, spokesperson for the University of Colorado, Denver-Anschutz Medical, said the school has taken steps to combat a spike in motor vehicle thefts, installing more security cameras and deploying officers to monitor parking lots and garages. 

It could be that there are more of these vehicles on campuses as well, according to Bethanie Glover, a spokesperson for the University of Virginia.

“The presence of motor scooters on (grounds) and across the country has increased dramatically, and reports of theft have increased along with them,” she said.