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Understanding Data Presentations (Guide + Examples)

Cover for guide on data presentation by SlideModel

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

Table of Contents

What is a Data Presentation?

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

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

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

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

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

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

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

Presentation of the data through bar charts

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

Accurate bar chart representation of data with a color coded legend

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.

Line graph in data presentation

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.

Data analysis presentation example

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.  

Treemap used for presenting data

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.

Pie chart template in data presentation

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.

3D pie chart in data presentation

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.

Histogram in Data Presentation

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.

Scatter plot in data presentation

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

key 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

key data presentation

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

key data presentation

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

key 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

Canvas Shape Tree Diagram Template

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

key data presentation

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

key data presentation

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

key 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

key data presentation

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

key data presentation

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

key data presentation

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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Present Your Data Like a Pro

  • Joel Schwartzberg

key data presentation

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.

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  • 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 presentation: A comprehensive guide

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

Raja Bothra

Building presentations

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Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

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

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

What is data presentation?

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

Why are data presentations important?

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

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

Types of data presentation

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

1. Textual presentation

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

2. Tabular presentation

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

3. Graphical presentation

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

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

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

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

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

What to include in data presentation

When creating your data presentation, remember these key components:

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

How to structure an effective data presentation

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

1. Know your audience

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

2. Have a clear message

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

3. Tell a compelling story

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

4. Leverage visuals

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

5. Be clear and concise

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

6. Practice your delivery

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

A basic structure for an effective data presentation

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

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

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

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

Additional tips for enhancing your data presentation

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

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

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

Do’s and don'ts on a data presentation

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

Don'ts:

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

Summarizing key takeaways

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

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

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

2. What are some common methods of data presentation?

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

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

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

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

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

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

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

Create your data presentation with prezent

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

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

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

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

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

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How to Present Data in PowerPoint

A graph or chart with a variety of data points

PowerPoint has become an essential tool for anyone looking to present data in a clear and engaging way. But it’s not just about throwing numbers onto a slide and hoping for the best. Effective data presentation is a skill that takes practice and careful consideration to master. In this article, we’ll take you through everything you need to know about presenting data in PowerPoint, from understanding your audience to designing engaging slides and everything in between.

Table of Contents

Why Effective Data Presentation is Important in PowerPoint

Before we dive into the nuts and bolts of PowerPoint data presentations, let’s take a moment to understand why it’s so important. The main goal of any data presentation is to deliver information in a clear, concise way that engages your audience and helps them understand the significance of the data. This isn’t always easy – data can be complex, and if not presented effectively, it can lead to confusion, boredom, or even worse – disengagement.

By mastering the art of data presentation in PowerPoint, you can ensure that you’re delivering information in a way that your audience will respond to positively. This not only helps build credibility with your audience, but it can also be the difference between your message being heard and remembered, or ignored and forgotten.

Understanding Your Audience: Tailoring Your Data for Maximum Impact

One of the most important aspects of presenting data in PowerPoint is understanding your audience. Before you begin designing your presentation, take some time to think about who will be viewing it, and what their needs and expectations are.

For example, if you’re presenting to a group of executives, they’re likely to be interested in high-level, big-picture data that shows the overall direction of the company. Conversely, if you’re presenting to a team of analysts, they’ll be looking for more granular data that they can use to make specific decisions or recommendations.

By understanding your audience, you can tailor your data and presentation style to make the biggest impact. This might involve using different chart types, adjusting your tone of voice, or changing your visual style to better connect with your audience.

Choosing the Right PowerPoint Template for Your Data Presentation

The first step in designing an effective PowerPoint data presentation is choosing the right template. With so many options to choose from, it can be overwhelming to know where to start. Here are a few things to keep in mind when choosing a template:

  • Consider your brand: Your presentation should reflect your brand’s visual identity, so look for templates that align with your brand standards.
  • Simplicity is key: You want your data to be the star of the show, so avoid templates that are busy or overly complicated.
  • Think about your audience: Consider the preferences and expectations of your audience when choosing a template. For example, if you’re presenting to a creative team, a more visually engaging template might be appropriate.

Ultimately, the goal of your template is to provide a clean, consistent backdrop for your data and visualizations to shine.

Top Tips for Designing Engaging PowerPoint Slides

Once you’ve chosen your template, it’s time to start designing your PowerPoint slides. Here are some tips to keep in mind:

  • Use clear, legible fonts: Your data won’t be effective if it can’t be read, so choose fonts that are easy to read on-screen.
  • Keep it simple: Avoid cluttering your slides with unnecessary bells and whistles. Your audience should be able to focus on your data without being distracted by overly complicated design elements.
  • Use visuals to support your data: Visuals like charts, graphs, and images can help illustrate your data in a more engaging way than text alone.
  • Be consistent: Use consistent formatting and design elements throughout your presentation to create a cohesive look and feel.

Remember, the goal of your PowerPoint slides is to support your data, not distract from it. Keep things simple and clear, and let your data do the talking.

Using Color and Contrast to Make Your Data Pop

Another important design consideration when presenting data in PowerPoint is color and contrast. These elements can help draw attention to key pieces of data and make your presentation more visually engaging.

Here are some tips for using color and contrast effectively:

  • Use contrasting colors to highlight key data points: For example, you might use a bright color for a data point that demonstrates a significant change or achievement.
  • Stick to a consistent color palette: Using too many colors can be distracting. Stick to a consistent color palette throughout your presentation to create a cohesive look and feel.
  • Use color to create visual hierarchy: By using color to differentiate between headings, subheadings, and body text, you can create a visual hierarchy that guides your audience’s attention and helps them navigate the presentation more easily.

Remember, the goal of your use of color and contrast is to make your data more engaging and to help your audience understand its significance in a more visual way.

How to Choose the Right Chart Type for Your Data

When presenting data in PowerPoint, choosing the right chart type is essential. Different chart types are better suited for different types of data, so it’s important to choose one that accurately represents the story you’re trying to tell.

Here are some common chart types and when they might be appropriate:

  • Line charts: Line charts are great for showing trends over time or for comparing multiple data sets.
  • Pie charts: Pie charts are useful for showing how a whole entity is divided into different parts.
  • Bar charts: Bar charts are ideal for comparing different entities or for showing changes in data over time.
  • Scatter plots: Scatter plots are helpful for showing the relationship between two variables.

By choosing the right chart type, you can help your audience better understand the story your data is telling.

Creating Clear and Concise Labels and Titles

When presenting data in PowerPoint, it’s essential to use clear and concise labels and titles. This not only makes your data easier to read and understand, but it also helps your audience quickly identify the most important points in your presentation.

Here are some tips for creating effective labels and titles:

  • Make it clear: Use labels and titles that accurately reflect the data you’re presenting.
  • Keep it concise: Avoid long titles or labels that take up too much space and distract from your data.
  • Be consistent: Use a consistent format for all of your labels and titles throughout the presentation to create a cohesive look and feel.

By creating clear and concise labels and titles, you can help guide your audience through your presentation more effectively.

Adding Animation and Transitions for a Professional Touch

Animation and transitions can be a great way to add a professional touch to your PowerPoint data presentation. However, it’s important to use them sparingly – too much animation can be distracting and take away from the data itself.

Here are some tips for using animation and transitions effectively:

  • Keep it simple: Use subtle animations and transitions that enhance your data, rather than detracting from it.
  • Use animation to highlight key data points: For example, you might use animation to draw attention to a particularly important data point or to show the progression of data over time.
  • Be consistent: Use a consistent set of animations and transitions throughout your presentation for a cohesive look and feel.

By using animation and transitions effectively, you can make your data presentation more engaging and dynamic.

Presenting Your Data with Confidence: Tips for Public Speaking in PowerPoint

Finally, it’s important to remember that presenting data in PowerPoint is not just about the slides – it’s also about your delivery as a speaker. Here are some tips for presenting your data with confidence:

  • Practice, practice, practice: The more familiar you are with your data and presentation, the more confident you’ll be when it’s time to present.
  • Engage with your audience: Make eye contact, use positive body language, and speak clearly and confidently to keep your audience engaged.
  • Use data to support your arguments: Use your data as evidence to support the points you’re making, rather than relying solely on your own opinions.

By following these tips, you can deliver a confident, engaging presentation that will leave a lasting impression on your audience.

Common Mistakes to Avoid When Presenting Data in PowerPoint

Now that we’ve covered some best practices for presenting data in PowerPoint, let’s take a look at some common mistakes to avoid:

  • Cluttered slides: Too much information on a slide can be overwhelming and make it difficult for your audience to understand what’s important.
  • Overly complicated charts: Choose charts that accurately represent your data, but avoid charts that are too complex or difficult to read.
  • Too much text: Use visuals to support your data, and limit the amount of text on each slide to keep your audience engaged.

By avoiding these mistakes, you can ensure that your data presentation is engaging, clear, and effective.

Best Practices for Saving and Sharing Your PowerPoint Presentation

Once you’ve put the finishing touches on your PowerPoint data presentation, it’s important to make sure it’s saved and shared correctly. Here are some best practices to keep in mind:

  • Save often: Make sure you save your presentation regularly to avoid losing any work.
  • Compress images and videos: Large images and videos can make your presentation file size very large. To avoid this, compress any images or videos you include in your presentation.
  • Save in different formats: Depending on who you’ll be sharing your presentation with, you may want to save it in different formats, such as PDF or JPEG.

By following these best practices, you can ensure that your presentation is saved and shared safely and effectively.

Creative Ways to Present Complex Data in PowerPoint

Presenting complex data in PowerPoint can be a challenge, but there are creative ways to make it more engaging. Here are some ideas:

  • Use infographics: Infographics can be a great way to make complex data more visually engaging and easy to understand.
  • Use animations and transitions: Animations and transitions can help break down complex data into more digestible chunks.
  • Use storytelling: Telling a story with your data can help it feel more relatable and engaging.

By using creative techniques like these, you can make even the most complex data more engaging and approachable.

How to Use Infographics and Visuals to Enhance Your Data Presentation in PowerPoint

Finally, let’s take a closer look at the ways you can use infographics and visuals to enhance your PowerPoint data presentation. Here are some tips:

  • Use icons to illustrate points: Icons can help illustrate complex points in a simple, engaging way.
  • Use diagrams and flowcharts: Diagrams and flowcharts can help illustrate processes or systems more clearly than text alone.
  • Use images and videos: Images and videos can help bring your data to life and make it more engaging and relatable.

By using visuals strategically, you can create a PowerPoint data presentation that is both informative and engaging.

Resources for Further Learning on Presenting Data in PowerPoint

If you’re interested in learning more about presenting data in PowerPoint, there are many resources available to help you improve your skills. Here are a few to get you started:

  • Microsoft’s PowerPoint training center: Offers courses and tutorials on presenting data in PowerPoint.
  • Lynda.com: Offers a wide variety of courses on PowerPoint data presentation.
  • Data Presentation Tips: A blog devoted to tips and techniques for presenting data in a way that is engaging and effective.

By taking advantage of these resources and continuing to refine your skills, you can become a master of presenting data in PowerPoint.

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How to Present Data Effectively

How to Present Data Effectively | Quick Tips & Tutorial for your presentations

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

What is data presentation?

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

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

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

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

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

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

key data presentation

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

key data presentation

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

key data presentation

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

key data presentation

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

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

key data presentation

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

key data presentation

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

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

key data presentation

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

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How to make a Key Data Presentation – showing numbers and KPIs on a slide

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Are you presenting some important data values on a slide? KPI numbers, company fact sheet, or sales campaign numbers?

Learn how to present numbers in a creative, strongly visual way, that will make your presentation outstanding.

We put together a bunch of slide designs for situations when you need to show a few critical values that should attract all eyes in the room :).

Elevate your business performance presentations with our curated resources – visit our financial performance PPT reports webpage.

How to creatively do a key data presentation

You can prepare a slide where you want to focus on a few important numbers and you don’t want to use standard charts.

In such a case, try to use some simple PowerPoint infographic shapes . You can put there your three most important Key Process Indicators. Or basic information about your company ( number of clients, employees, turnover… ). Or extract your balanced scorecard measures.

We designed a set of flat-style diagrams and geometric shapes that can serve as perfect visual placeholders for your key numbers and a short explanation. All diagrams are PPT vector shapes, so they are fully customizable (colors, shape, outline, remove or duplicate items) in a few seconds. They require no artistic skills to adapt to your needs.

Use it as an inspiration for how you can present formal data in a unique visual way:

Project Proposal Values Six Elements List Diagram with Ecological Values

For more inspiration, subscribe to our YouTube channel:

Further reading on using diagrams instead of text slide:

This article is Part III of my series “Replacing Text Slide with Infographics”. See the other two parts:

  • Replacing bullet points :  Making Infographics Slides from a Text Bullet Point List
  • Replacing timeline texts: Presenting Timelines using infographics diagrams

PS. What’s your challenge showing numbers? Comment below. I will be glad to give you some design ideas.

4 thoughts on “How to make a Key Data Presentation – showing numbers and KPIs on a slide”

My challenge is that I need to show full big data table on a slide and then talk about its details.

Robert, if you need to show a data table on a slide, consider splitting it into more slides. This will allow you to make the font bigger and more readable. If you don’t want to split, e.g. because you want to show all data in one place, use at least narrow font (e.g. Calibri Light or Arial Narrow) avoid wide fonts such as Verdana, Tahoma. And add margins to all table cells. Consider highlighting the key data from the table. Use high contrast cell background or some kind of marker graphics over the table.

Are there common slide formats that are used in different settings for maximum impact.

Thx for asking. If you mean slide size formats, now there are two common sizes – older classical 4:3 format and newer wide 16:9 format. Which one to choose depends on how you want to use the slides. The wide ones fits better the wide screens – so for making presentations to be read on monitor. It also gives more space for content design. On other side the 4:3 format is more suitable if you want to print slides, it’s easier to fit e.g. 2 slides on one sheet of paper.

Comments are closed.

key data presentation

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5 Tips For Better Data Presentation

Home >  Presenting Data Main >  5 Data Presentation Tips

Most data presentations are confusing and boring. Learn the 5 tips to make your presentation clearer and more memorable.

Tip 1: Put your conclusion on the title

Most presenters use vague slide titles like Our Sales Performance. This doesn’t give the audience any clue about what to look for in the sea of numbers presented on the slide.

Always put the conclusion from your slide on the slide title. Since your audience naturally scan your slides top down, a clear title helps them find your key message fast.

See this table of data on a slide:

Data Presentation Table Image

Since the conclusion is clearly mentioned on the title, audience’s eyes are naturally led to the relevant numbers on the table.

Tip 2: Highlight your inference

A lot of presenters lose their audience because they make them think. They expect their audience to do mental math and draw their own conclusions. Since most audiences prefer to switch off than to process complex information, data presentation gets quite tricky.

Realize that not everyone in your audience likes to crunch numbers. Most of them expect you to do the math and tell them the inference. Highlight the inference so clearly that there is no scope for confusion for your audience.

See the PowerPoint slide with clear graph below:

Data Presentation Graph Image

The areas that depict losses and profits are highlighted clearly in different colors.

All that is left for the audience to do is to read the conclusion on the title and see the proof (assertion-evidence method)  in the body of the slide to move forward.

Tip 3: Use images to make your message more memorable

Sometimes in a data presentation, numbers can be cold and intimidating. Using relevant images can make your information more inviting.

See the following slide with map showing data:

Data Presentation Map Image

The picture of the world map helps the audience get a visual context for the 4 pie charts. Every time you put up some numbers on the slide, think about adding a relevant picture to add clarity to your message.

Tip 4: Use visual representation of numbers

You can make your column charts and pie charts come to life by using small icons to act as units for your chart.

For example, take a look at this column chart:

Data Presentation Visual Image

See Related Data-Driven PowerPoint Pictographs from Visual Graphs Pack

All we did was to copy a cardboard box and paste it multiple times one over the other. The chart got ready in seconds. You may copy-paste small icons specific to your industry to make your chart visual.

You don’t need to limit yourself to icons. Think about using other images to serve as visual clue for your numbers.

For example, take a look at this creative slide:

Data Presentation Visual 2 Image

Related Data Driven Dials Showing Completion from Visual Graphs Pack

We used the picture of a clock and shaded the relevant portion to make our point. A clock makes it easier to visualize 15 minutes better than words. You can think of more creative ways of presenting data.

Tip 5: Present information in stages

Make it a habit to animate your charts before presenting them. It makes your numbers less intimidating and helps your audiences get more information from your charts.

In the following example, see how we present data in stages:

Animation Data Presentation Image

First the axes are explained. Then line graph of Product X is shown to make the base case. This is then followed by the line graph of Product Y. This helps the audience realize how the sales of Product Y fluctuates more than the sales of Product X.

If you are not aware of chart animation feature of PowerPoint, here is a quick tutorial of how it is done.

PowerPoint Chart Animation Feature

First select the chart you imported from excel file. Go to animations -> Custom animation and select the kind of animation you want to use. This animates the whole chart.

Then, go to the custom animation menu and click on the drop down arrow next to the animation you selected. Go to Effect options and you will see a pop up box which gives you the option to choose chart animation.

Using animation in powerpoint graph

You can animate your chart by Series or by category. This is extremely helpful to make effective data presentations.

Summary of 5 tips for better data presentation:

  • Put your conclusion on the title
  • Highlight your inference
  • Use images to make your message more memorable
  • Use visual representation of numbers
  • Present information in stages

These tips make your data presentation effective and memorable.

Easy Option for Business Presenters:

Our Data-Driven PowerPoint Graphs Pack is an easy option for busy presenters. We have done all the hard work for you. The pack has everything from regular charts like bar, pie, line charts to unique and creative data-driven infographics to help you get across your business information easily.

Take a look at some of the pre-formatted templates from the Graphs pack here

Waterfall Charts with Brick Style Blocks from Graphs Pack

Waterfall Charts with Brick Style Block

Yes and No Charts & Butterfly Charts

Yes and No Charts for Multiple Categories

Jaws Chart Showing Performance Comparison Across Products

Jaws Chart Showing Performance Comparison Across Products

These graphs are surprisingly easy to use and don’t require any additional software or extensive PowerPoint knowledge. You just need to copy our graphs to your slides and replace your data in the worksheet.

It is so easy to present insights to audience with such graphs.You can now do away with confusing excel sheets and tables. Please do browse through the gallery of 320+ high-quality graphs for business presenters here  >>

Related Article: Presentation on 3 Myths about Presenting Data

Related Article: 5 Examples of Visual Presentations using Analogy

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Blog Graphic Design 15 Effective Visual Presentation Tips To Wow Your Audience

15 Effective Visual Presentation Tips To Wow Your Audience

Written by: Krystle Wong Sep 28, 2023

Visual Presentation Tips

So, you’re gearing up for that big presentation and you want it to be more than just another snooze-fest with slides. You want it to be engaging, memorable and downright impressive. 

Well, you’ve come to the right place — I’ve got some slick tips on how to create a visual presentation that’ll take your presentation game up a notch. 

Packed with presentation templates that are easily customizable, keep reading this blog post to learn the secret sauce behind crafting presentations that captivate, inform and remain etched in the memory of your audience.

Click to jump ahead:

What is a visual presentation & why is it important?

15 effective tips to make your visual presentations more engaging, 6 major types of visual presentation you should know , what are some common mistakes to avoid in visual presentations, visual presentation faqs, 5 steps to create a visual presentation with venngage.

A visual presentation is a communication method that utilizes visual elements such as images, graphics, charts, slides and other visual aids to convey information, ideas or messages to an audience. 

Visual presentations aim to enhance comprehension engagement and the overall impact of the message through the strategic use of visuals. People remember what they see, making your point last longer in their heads. 

Without further ado, let’s jump right into some great visual presentation examples that would do a great job in keeping your audience interested and getting your point across.

In today’s fast-paced world, where information is constantly bombarding our senses, creating engaging visual presentations has never been more crucial. To help you design a presentation that’ll leave a lasting impression, I’ve compiled these examples of visual presentations that will elevate your game.

1. Use the rule of thirds for layout

Ever heard of the rule of thirds? It’s a presentation layout trick that can instantly up your slide game. Imagine dividing your slide into a 3×3 grid and then placing your text and visuals at the intersection points or along the lines. This simple tweak creates a balanced and seriously pleasing layout that’ll draw everyone’s eyes.

2. Get creative with visual metaphors

Got a complex idea to explain? Skip the jargon and use visual metaphors. Throw in images that symbolize your point – for example, using a road map to show your journey towards a goal or using metaphors to represent answer choices or progress indicators in an interactive quiz or poll.

3. Visualize your data with charts and graphs

The right data visualization tools not only make content more appealing but also aid comprehension and retention. Choosing the right visual presentation for your data is all about finding a good match. 

For ordinal data, where things have a clear order, consider using ordered bar charts or dot plots. When it comes to nominal data, where categories are on an equal footing, stick with the classics like bar charts, pie charts or simple frequency tables. And for interval-ratio data, where there’s a meaningful order, go for histograms, line graphs, scatterplots or box plots to help your data shine.

In an increasingly visual world, effective visual communication is a valuable skill for conveying messages. Here’s a guide on how to use visual communication to engage your audience while avoiding information overload.

key data presentation

4. Employ the power of contrast

Want your important stuff to pop? That’s where contrast comes in. Mix things up with contrasting colors, fonts or shapes. It’s like highlighting your key points with a neon marker – an instant attention grabber.

5. Tell a visual story

Structure your slides like a storybook and create a visual narrative by arranging your slides in a way that tells a story. Each slide should flow into the next, creating a visual narrative that keeps your audience hooked till the very end.

Icons and images are essential for adding visual appeal and clarity to your presentation. Venngage provides a vast library of icons and images, allowing you to choose visuals that resonate with your audience and complement your message. 

key data presentation

6. Show the “before and after” magic

Want to drive home the impact of your message or solution? Whip out the “before and after” technique. Show the current state (before) and the desired state (after) in a visual way. It’s like showing a makeover transformation, but for your ideas.

7. Add fun with visual quizzes and polls

To break the monotony and see if your audience is still with you, throw in some quick quizzes or polls. It’s like a mini-game break in your presentation — your audience gets involved and it makes your presentation way more dynamic and memorable.

8. End with a powerful visual punch

Your presentation closing should be a showstopper. Think a stunning clip art that wraps up your message with a visual bow, a killer quote that lingers in minds or a call to action that gets hearts racing.

key data presentation

9. Engage with storytelling through data

Use storytelling magic to bring your data to life. Don’t just throw numbers at your audience—explain what they mean, why they matter and add a bit of human touch. Turn those stats into relatable tales and watch your audience’s eyes light up with understanding.

key data presentation

10. Use visuals wisely

Your visuals are the secret sauce of a great presentation. Cherry-pick high-quality images, graphics, charts and videos that not only look good but also align with your message’s vibe. Each visual should have a purpose – they’re not just there for decoration. 

11. Utilize visual hierarchy

Employ design principles like contrast, alignment and proximity to make your key info stand out. Play around with fonts, colors and placement to make sure your audience can’t miss the important stuff.

12. Engage with multimedia

Static slides are so last year. Give your presentation some sizzle by tossing in multimedia elements. Think short video clips, animations, or a touch of sound when it makes sense, including an animated logo . But remember, these are sidekicks, not the main act, so use them smartly.

13. Interact with your audience

Turn your presentation into a two-way street. Start your presentation by encouraging your audience to join in with thought-provoking questions, quick polls or using interactive tools. Get them chatting and watch your presentation come alive.

key data presentation

When it comes to delivering a group presentation, it’s important to have everyone on the team on the same page. Venngage’s real-time collaboration tools enable you and your team to work together seamlessly, regardless of geographical locations. Collaborators can provide input, make edits and offer suggestions in real time. 

14. Incorporate stories and examples

Weave in relatable stories, personal anecdotes or real-life examples to illustrate your points. It’s like adding a dash of spice to your content – it becomes more memorable and relatable.

15. Nail that delivery

Don’t just stand there and recite facts like a robot — be a confident and engaging presenter. Lock eyes with your audience, mix up your tone and pace and use some gestures to drive your points home. Practice and brush up your presentation skills until you’ve got it down pat for a persuasive presentation that flows like a pro.

Venngage offers a wide selection of professionally designed presentation templates, each tailored for different purposes and styles. By choosing a template that aligns with your content and goals, you can create a visually cohesive and polished presentation that captivates your audience.

Looking for more presentation ideas ? Why not try using a presentation software that will take your presentations to the next level with a combination of user-friendly interfaces, stunning visuals, collaboration features and innovative functionalities that will take your presentations to the next level. 

Visual presentations come in various formats, each uniquely suited to convey information and engage audiences effectively. Here are six major types of visual presentations that you should be familiar with:

1. Slideshows or PowerPoint presentations

Slideshows are one of the most common forms of visual presentations. They typically consist of a series of slides containing text, images, charts, graphs and other visual elements. Slideshows are used for various purposes, including business presentations, educational lectures and conference talks.

key data presentation

2. Infographics

Infographics are visual representations of information, data or knowledge. They combine text, images and graphics to convey complex concepts or data in a concise and visually appealing manner. Infographics are often used in marketing, reporting and educational materials.

Don’t worry, they are also super easy to create thanks to Venngage’s fully customizable infographics templates that are professionally designed to bring your information to life. Be sure to try it out for your next visual presentation!

key data presentation

3. Video presentation

Videos are your dynamic storytellers. Whether it’s pre-recorded or happening in real-time, videos are the showstoppers. You can have interviews, demos, animations or even your own mini-documentary. Video presentations are highly engaging and can be shared in both in-person and virtual presentations .

4. Charts and graphs

Charts and graphs are visual representations of data that make it easier to understand and analyze numerical information. Common types include bar charts, line graphs, pie charts and scatterplots. They are commonly used in scientific research, business reports and academic presentations.

Effective data visualizations are crucial for simplifying complex information and Venngage has got you covered. Venngage’s tools enable you to create engaging charts, graphs,and infographics that enhance audience understanding and retention, leaving a lasting impression in your presentation.

key data presentation

5. Interactive presentations

Interactive presentations involve audience participation and engagement. These can include interactive polls, quizzes, games and multimedia elements that allow the audience to actively participate in the presentation. Interactive presentations are often used in workshops, training sessions and webinars.

Venngage’s interactive presentation tools enable you to create immersive experiences that leave a lasting impact and enhance audience retention. By incorporating features like clickable elements, quizzes and embedded multimedia, you can captivate your audience’s attention and encourage active participation.

6. Poster presentations

Poster presentations are the stars of the academic and research scene. They consist of a large poster that includes text, images and graphics to communicate research findings or project details and are usually used at conferences and exhibitions. For more poster ideas, browse through Venngage’s gallery of poster templates to inspire your next presentation.

key data presentation

Different visual presentations aside, different presentation methods also serve a unique purpose, tailored to specific objectives and audiences. Find out which type of presentation works best for the message you are sending across to better capture attention, maintain interest and leave a lasting impression. 

To make a good presentation , it’s crucial to be aware of common mistakes and how to avoid them. Without further ado, let’s explore some of these pitfalls along with valuable insights on how to sidestep them.

Overloading slides with text

Text heavy slides can be like trying to swallow a whole sandwich in one bite – overwhelming and unappetizing. Instead, opt for concise sentences and bullet points to keep your slides simple. Visuals can help convey your message in a more engaging way.

Using low-quality visuals

Grainy images and pixelated charts are the equivalent of a scratchy vinyl record at a DJ party. High-resolution visuals are your ticket to professionalism. Ensure that the images, charts and graphics you use are clear, relevant and sharp.

Choosing the right visuals for presentations is important. To find great visuals for your visual presentation, Browse Venngage’s extensive library of high-quality stock photos. These images can help you convey your message effectively, evoke emotions and create a visually pleasing narrative. 

Ignoring design consistency

Imagine a book with every chapter in a different font and color – it’s a visual mess. Consistency in fonts, colors and formatting throughout your presentation is key to a polished and professional look.

Reading directly from slides

Reading your slides word-for-word is like inviting your audience to a one-person audiobook session. Slides should complement your speech, not replace it. Use them as visual aids, offering key points and visuals to support your narrative.

Lack of visual hierarchy

Neglecting visual hierarchy is like trying to find Waldo in a crowd of clones. Use size, color and positioning to emphasize what’s most important. Guide your audience’s attention to key points so they don’t miss the forest for the trees.

Ignoring accessibility

Accessibility isn’t an option these days; it’s a must. Forgetting alt text for images, color contrast and closed captions for videos can exclude individuals with disabilities from understanding your presentation. 

Relying too heavily on animation

While animations can add pizzazz and draw attention, overdoing it can overshadow your message. Use animations sparingly and with purpose to enhance, not detract from your content.

Using jargon and complex language

Keep it simple. Use plain language and explain terms when needed. You want your message to resonate, not leave people scratching their heads.

Not testing interactive elements

Interactive elements can be the life of your whole presentation, but not testing them beforehand is like jumping into a pool without checking if there’s water. Ensure that all interactive features, from live polls to multimedia content, work seamlessly. A smooth experience keeps your audience engaged and avoids those awkward technical hiccups.

Presenting complex data and information in a clear and visually appealing way has never been easier with Venngage. Build professional-looking designs with our free visual chart slide templates for your next presentation.

What software or tools can I use to create visual presentations?

You can use various software and tools to create visual presentations, including Microsoft PowerPoint, Google Slides, Adobe Illustrator, Canva, Prezi and Venngage, among others.

What is the difference between a visual presentation and a written report?

The main difference between a visual presentation and a written report is the medium of communication. Visual presentations rely on visuals, such as slides, charts and images to convey information quickly, while written reports use text to provide detailed information in a linear format.

How do I effectively communicate data through visual presentations?

To effectively communicate data through visual presentations, simplify complex data into easily digestible charts and graphs, use clear labels and titles and ensure that your visuals support the key messages you want to convey.

Are there any accessibility considerations for visual presentations?

Accessibility considerations for visual presentations include providing alt text for images, ensuring good color contrast, using readable fonts and providing transcripts or captions for multimedia content to make the presentation inclusive.

Most design tools today make accessibility hard but Venngage’s Accessibility Design Tool comes with accessibility features baked in, including accessible-friendly and inclusive icons.

How do I choose the right visuals for my presentation?

Choose visuals that align with your content and message. Use charts for data, images for illustrating concepts, icons for emphasis and color to evoke emotions or convey themes.

What is the role of storytelling in visual presentations?

Storytelling plays a crucial role in visual presentations by providing a narrative structure that engages the audience, helps them relate to the content and makes the information more memorable.

How can I adapt my visual presentations for online or virtual audiences?

To adapt visual presentations for online or virtual audiences, focus on concise content, use engaging visuals, ensure clear audio, encourage audience interaction through chat or polls and rehearse for a smooth online delivery.

What is the role of data visualization in visual presentations?

Data visualization in visual presentations simplifies complex data by using charts, graphs and diagrams, making it easier for the audience to understand and interpret information.

How do I choose the right color scheme and fonts for my visual presentation?

Choose a color scheme that aligns with your content and brand and select fonts that are readable and appropriate for the message you want to convey.

How can I measure the effectiveness of my visual presentation?

Measure the effectiveness of your visual presentation by collecting feedback from the audience, tracking engagement metrics (e.g., click-through rates for online presentations) and evaluating whether the presentation achieved its intended objectives.

Ultimately, creating a memorable visual presentation isn’t just about throwing together pretty slides. It’s about mastering the art of making your message stick, captivating your audience and leaving a mark.

Lucky for you, Venngage simplifies the process of creating great presentations, empowering you to concentrate on delivering a compelling message. Follow the 5 simple steps below to make your entire presentation visually appealing and impactful:

1. Sign up and log In: Log in to your Venngage account or sign up for free and gain access to Venngage’s templates and design tools.

2. Choose a template: Browse through Venngage’s presentation template library and select one that best suits your presentation’s purpose and style. Venngage offers a variety of pre-designed templates for different types of visual presentations, including infographics, reports, posters and more.

3. Edit and customize your template: Replace the placeholder text, image and graphics with your own content and customize the colors, fonts and visual elements to align with your presentation’s theme or your organization’s branding.

4. Add visual elements: Venngage offers a wide range of visual elements, such as icons, illustrations, charts, graphs and images, that you can easily add to your presentation with the user-friendly drag-and-drop editor.

5. Save and export your presentation: Export your presentation in a format that suits your needs and then share it with your audience via email, social media or by embedding it on your website or blog .

So, as you gear up for your next presentation, whether it’s for business, education or pure creative expression, don’t forget to keep these visual presentation ideas in your back pocket.

Feel free to experiment and fine-tune your approach and let your passion and expertise shine through in your presentation. With practice, you’ll not only build presentations but also leave a lasting impact on your audience – one slide at a time.

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key data presentation

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

key data presentation

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-chart

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

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

key data presentation

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

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.

key data presentation

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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What is the national deficit?

A deficit occurs when the federal government’s spending exceeds its revenues. The federal government has spent $ more than it has collected in fiscal year (FY) , resulting in a national deficit.

Fiscal year-to-date (since October ) total updated monthly using the Monthly Treasury Statement (MTS) dataset.

Compared to the national deficit of $ for the same period last year ( Oct -1 - Invalid Date ), our national deficit has by $ .

Key Takeaways

A budget deficit occurs when the money going out exceeds the money coming in for a given period. On this page, we calculate the deficit by the government’s fiscal year.

In the last 50 years, the federal government budget has run a surplus five times, most recently in 2001.

To pay for government programs while operating under a deficit, the federal government borrows money by selling U.S. Treasury bonds, bills, and other securities. The national debt is the accumulation of this borrowing along with associated interest owed to investors who purchased these securities.

Understanding the National Deficit

A budget deficit occurs when money going out ( spending ) exceeds money coming in ( revenue ) during a defined period. In FY 0 , the federal government spent $ trillion and collected $ trillion in revenue, resulting in a deficit. The amount by which spending exceeds revenue, $ trillion in 0 , is referred to as deficit spending.

The opposite of a budget deficit is a budget surplus , which occurs when the federal government collects more money than it spends. The U.S. has experienced a fiscal year-end budget surplus five times in the last 50 years, most recently in 2001.

When there is no deficit or surplus due to spending and revenue being equal, the budget is considered balanced .

The terms “national deficit”, “federal deficit” and “U.S. deficit” have the same meaning and are used interchangeably by the U.S. Treasury.

  • Balanced Budget

A surplus occurs when the government collects more money than it spends.

The last surplus for the federal government was in 2001.

The chart below shows a breakdown of how the U.S. deficit compares to the corresponding revenue and spending.

The Causes of Deficits and Surpluses

The size of the national deficit or surplus is largely influenced by the health of the economy and spending and revenue policies set by Congress and the President. The health of the economy is often evaluated by the growth in the country’s gross domestic product (GDP) , fluctuations in the nation’s employment rates, and the stability of prices. Simply put, when the country’s people and businesses are making less money, the amount collected by the government also decreases. Similarly, when the economy is doing well and people and businesses are earning more money, the government collects more. On the spending side, the increase or decrease of spending also impacts the budget, creating deficits or surpluses.

Legislation increasing spending on Social Security, health care, and defense that outpace revenue can increase the deficit. While revenue increased during the COVID-19 pandemic, from approximately $3.5 trillion in 2019 to $4 trillion in 2021, increased government spending related to widespread unemployment and health care caused spikes in the deficit. Visit USAspending.gov to learn more about the federal response to COVID-19 .

The Difference Between the National Deficit and the National Debt

The terms deficit and debt are frequently used when discussing the nation’s finances and are often confused with one another.

To pay for a deficit, the federal government borrows money by selling Treasury bonds , bills , and other securities. The national debt is the accumulation of this borrowing along with associated interest owed to the investors who purchased these securities. As the federal government experiences reoccurring deficits, which are common, the national debt grows. To learn more about the national debt, visit the National Debt Explainer .

The visualization below shows how deficits from previous years are added to the current year’s deficit to equal total debt. This illustration is simplified to show how debt and deficit are different. In reality, the U.S. government must pay interest on the national debt. This interest expense increases spending each year, increasing spending (and thus, deficits) as the debt grows.

U.S. Deficit by Year

Since 2001, the federal government’s budget has run a deficit each year. Starting in 2016, increases in spending on Social Security, health care, and interest on federal debt have outpaced the growth of federal revenue .

From FY 2019 to FY 2021, federal spending increased by about 50 percent in response to the COVID-19 pandemic .

Please note: This data visual only includes completed fiscal years.

Learn More about the Deficit

For more information about the national deficit, please explore more of Fiscal Data and check out the extensive resources listed below.

See the datasets behind the national deficit

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  • Date Range 03/31/2015 - 04/30/2024
  • Last Updated 05/13/2024
  • Release Frequency Monthly
  • 14 Data Tables

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  • Date Range 09/30/1998 - 04/30/2024
  • Last Updated 05/10/2024
  • 3 Data Tables

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  • Date Range 09/30/1995 - 09/30/2023
  • Last Updated 02/20/2024
  • Release Frequency Annually
  • 8 Data Tables

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  • Date Range 10/03/2005 - 05/10/2024
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  • 9 Data Tables

More From Forbes

The key ingredients in transforming your inventory strategy.

Forbes Technology Council

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Matt is the founder and chief executive officer of FourKites .

In March 2024, the world’s largest international shippers, carriers and freight forwarders convened in Long Beach, California, for the Journal of Commerce’s annual TPM conference. At the event, industry executives encouraged (paywall) cargo owners to “rethink their inventory strategies” in light of Red Sea disruptions adding days to shipment routes and regulatory pressures around decarbonization driving a long-term reduction in maximum ship speeds.

Underscoring the need to adapt inventory strategies is the fact that about 95% of shippers planned to reduce or maintain inventory levels going into 2024—the highest levels seen in over a decade, according to Morgan Stanley’s Freight Pulse 72 Shipper Survey . As shippers run leaner operations, they face a familiar dilemma: How do you balance resilience and cost? Answering this question could be worth millions of dollars in saved revenue and avoided fees, not to mention happier customers.

So, how can cargo owners begin to rethink their inventory strategies? They should start by taking a closer look at their supply chain data and network.

Allow me to explain. International shipping is fraught with numerous handoffs—transshipment and final destination ports alone can be a black hole for data, where shipments get lost in disjointed communications. The chaos and confusion of customs clearance and drayage just compound the issues.

When you don't know when your inventory will arrive, making informed decisions about stock levels, replenishment schedules and customer promises is incredibly difficult. Will your products arrive in time to meet peak season demand? Should you expedite alternative shipments at a higher cost? Can you confidently commit to delivery dates for your customers?

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Forward-thinking companies have achieved impressive results by integrating real-time vessel tracking data, port congestion metrics and weather forecasts into their supply chain planning systems. Combining these external signals with internal sales and inventory data allows them to dynamically adjust stock levels and routing decisions based on the latest information. Although they're not perfect, these predictive approaches can significantly reduce the uncertainty, risk and cost of ocean shipping.

But even with pristine data, supply chain efficiency is limited by the design of the underlying network. Complete visibility into a suboptimal system only takes you so far. That's why network optimization is so crucial.

Effective network optimization requires a deep understanding of your products, customers and operational constraints. It also demands close collaboration with key stakeholders across the organization, from sales and marketing to finance and operations. By bringing together cross-functional expertise and leveraging data-driven insights, supply chain leaders can design networks that balance cost, service and risk. But it doesn’t come easily. However, once a team atmosphere has been created—when there’s proactive communication among customers, partners and carriers—then everything becomes easier, and everyone starts saving time and money.

A few best practices include:

• Creating a dedicated, cross-functional team with representatives from various departments, such as technology, procurement, customer service and transportation.

• Implementing shared systems and platforms that facilitate efficient communication among supply chain networks, partners and stakeholders.

• Setting clear goals while maintaining a mindset of continuous improvement. For example, partnering with carriers to define improvements in on-time delivery performance and reducing dwell time based on historical data and industry benchmarks.

Implementing these best practices requires a fundamental shift in mindset and approach. It necessitates breaking down organizational silos, fostering a culture of transparency and trust, and embracing a more holistic view of supply chain performance. By investing in the right talent, technologies and partnerships, organizations can create a foundation for effective collaboration and continuous improvement. However, it's important to recognize that this is an ongoing journey, not a one-time initiative.

Supply chains have endured numerous disruptions these past few years, with shippers adapting accordingly. But as cargo owners at TPM24 learned, there’s more work to be done. Although some might attempt to maintain lean inventory operations without the proper data and network in place—especially at an international scale—they’ll find that it’s like cooking without salt: possible but not ideal.

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Mathew Elenjickal

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