data presentation mode

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

Leah Nguyen • 05 Apr 2024 • 11 min read

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

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

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

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

Table of Contents

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

#2 – Text

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

• 5 Mistakes to Avoid
• Best Method of Data Presentation

Frequently Asked Questions

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What are Methods of Data Presentation?

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

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

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

Good data presentation helps…

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

Methods of Data Presentation and Examples

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

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

#1 – Tabular 

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

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

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

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

(Source: CustomerThermometer )

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

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

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

Bonus example: A literal ‘pie’ chart! 🥧

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

They can be as simple as this:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

5 Data Presentation Mistakes to Avoid

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

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

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

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

#2 – Use the wrong type of chart

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

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

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

#3 – Make it 3D

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

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

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

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

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

#5 – Bombard the audience with too much information

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

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

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

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

For example:

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

What is chart presentation?

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

When can I use charts for presentation?

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

Why should use charts for presentation?

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

What are the 4 graphical methods of presenting data?

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

Leah Nguyen

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

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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

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

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

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

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Data presentation: A comprehensive guide

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

Raja Bothra

Building presentations

Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

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

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

What is data presentation?

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

Why are data presentations important?

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

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

Types of data presentation

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

1. Textual presentation

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

2. Tabular presentation

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

3. Graphical presentation

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

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

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

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

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

What to include in data presentation

When creating your data presentation, remember these key components:

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

How to structure an effective data presentation

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

1. Know your audience

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

2. Have a clear message

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

3. Tell a compelling story

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

4. Leverage visuals

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

5. Be clear and concise

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

6. Practice your delivery

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

A basic structure for an effective data presentation

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

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

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

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

Additional tips for enhancing your data presentation

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

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

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

Do’s and don'ts on a data presentation

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

Don'ts:

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

Summarizing key takeaways

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

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

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

2. What are some common methods of data presentation?

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

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

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

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

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

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

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

Create your data presentation with prezent

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

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

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

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

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

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Data Presentation Techniques that Make an Impact

Create beautiful charts & infographics get started, 10.05.2016 by anete ezera.

Presenting data doesn’t need to be boring. In fact, it is a great way to spice up your presentations and share important facts and figures with your audience. Data has the power to be engaging, persuasive and memorable.

If you have a compelling story to tell with data, you should present it in a clear and powerful way. We will help you get started with a few effective data presentation techniques!

If you’d like more information about designing great presentations, download our new eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps.’

What Presentations Benefit from Data?

Data doesn’t necessarily make all presentations better, but certain types of presentations are prime for the incorporation of data visualizations:

• Sales Reports
• PR and Marketing Research
• Marketing and Advertising Campaigns
• Executive and CEO Presentations
• Educational Reports
• Political Speeches
• Annual Reports
• Shareholder Presentations
• Financial Reports
• Product Launches, and more!

Why Use Charts in Presentations?

Visuals make information stick in our brains . A study from the Wharton School of Business found that 67% of the audience surveyed were persuaded by verbal presentations that had accompanying visuals. Charts are great visual aids for multiple reasons:

• Charts are easy to read
• Charts are visually appealing
• Charts simplify complex information
• Charts make it possible to quickly make comparisons and spot trends
• Charts are memorable and make an impact
• Charts give your presentation credibility

How to Add Data to Your Presentation

1) define your message.

Before you can even think about adding data to your presentation, you need to ask yourself, ‘what story am I trying to tell?’ Once you have a concrete idea of what your message is, you’ll have an easier time crafting the right visualization to share with your audience.

2) Clean and Organize Your Data

Now that you know what point you want to make with your data, it’s time to make sure your numbers are ready to be visualized.   Every good data visualization starts with good data. Make sure your spreadsheet is formatted and labeled exactly how you want it. Think about the message you want to share with your data and get rid of anything that doesn’t help you tell your story.

Data that is clean and organized is easier to display and analyze. Here are five awesome free data analysis tools to help you extract, clean, and share your data.

3) Pick the Right Chart Type

We can’t emphasize enough how important it is to make sure you pick the right chart type for the data you want to present. While your data might technically work with multiple chart types, you need to pick the one that ensures your message is clear, accurate, and concise.

4) Simplicity is Key

Charts and graphs turn complex ideas or data sets into easy-to-understand visual concepts. Remember that your data is the star of the show, so keep it simple. Avoid visual clutter, excessive text, poor color selection, and unnecessary animations. Make sure your legend and data labels are printed in a large, visible font. You don’t want your audience to get distracted. Less is more!

5) Create a Narrative

People understand stories better than they understand spreadsheets. Craft a compelling story around your data to make it memorable. Find a way to drive emotion from the numbers. Give your audience something they can relate to and resonate with. Data visualization speaker Bill Shander offers five tips to make you a better data storyteller. 

6) Visualize Data with Infogram

Before you add data to your presentation you need to visualize it. While many presentation tools allow you to create charts , they often leave much to be desired. Infogram makes it easy to create beautiful, engaging data visualizations your audience won’t forget.

You can embed interactive and responsive data visualizations into your presentations if you’re using Bunkr or any other HTML based presentation platform. Or, if you upgrade to one of our paid plans , you can download static versions of your charts and graphs to enhance your work. You can even make the background of PNG downloads transparent so they slip seamlessly into your presentation.

Would you like to experience the full power of  data visualization ? Try Infogram for Teams or Enterprise for free! With a Team or Enterprise account, you can create up to 10,000+ projects, collaborate with your team in real time, use our engagement analytics feature, and more. Request your free demo  here .

7) Make a Handout

Leave your audience with a physical or virtual copy of your charts. This makes it possible for them to look at the numbers more closely after your presentation. It’s also nice to include extra information, beyond what you covered, in case someone wants to delve deeper into the material.

Now that you know how to add data to your presentations, it’s time to learn how to design a PowerPoint that really gets people talking. Download our latest eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps’ – for free!

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

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

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

Click to jump ahead:

10 Essential data presentation examples + methods you should know

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

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

1. Bar graph

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

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

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

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

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

2. Line graph

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

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

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

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

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

3. Pie chart

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

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

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

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

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

4. Scatter plot

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

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

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

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

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

5. Histogram

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

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

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

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

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

6. Stacked bar chart

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

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

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

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

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

7. Area chart

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

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

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

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

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

8. Tabular presentation

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

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

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

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

9. Textual data

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

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

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

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

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

10. Pictogram

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

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

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

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

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

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

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

1. Title and objective

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

2. Key data points

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

3. Context and significance

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

4. Key takeaways

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

5. Visuals and charts

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

6. Implications or actions

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

7. Q&A and discussion

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

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

Overloading with data

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

Assuming everyone’s on the same page

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

Misleading visuals

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

Not providing context

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

Not citing sources properly

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

Not telling a story

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

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

Ignoring data quality

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

Simplify your visuals

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

Missing the emotional connection

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

Skipping the actionable insights

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

Can you provide some data presentation examples for business reports?

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

What are some creative data presentation examples for academic presentations?

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

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

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

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

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

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

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

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

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

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

What is the difference between data visualization and data presentation?

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

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

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

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

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

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Data Presentation - Types & Its Importance

What is data presentation.

Data Analysis and Data Presentation have a practical implementation in every possible field. It can range from academic studies, commercial, industrial and marketing activities to professional practices.

In its raw form, data can be extremely complicated to decipher and in order to extract meaningful insights from the data, data analysis is an important step towards breaking down data into understandable charts or graphs.

Data analysis tools used for analyzing the raw data which must be processed further to support N number of applications.

Therefore, the processes or analyzing data usually helps in the interpretation of raw data and extract the useful content out of it. The transformed raw data assists in obtaining useful information.

Once the required information is obtained from the data, the next step would be to present the data in a graphical presentation.

The presentation is the key to success. Once the information is obtained the user transforms the data into a pictorial Presentation so as to be able to acquire a better response and outcome.

Methods of Data Presentation in Statistics

1. pictorial 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

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

3. Pie Charts

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

4. Bar charts

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

5. Histograms

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

6. Box plots

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

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

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

Importance of Data Presentation

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

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

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

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

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

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

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

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

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How to Use the Presentation Modes and the Screen Recording Features in PowerPoint

After designing all the slides for your presentation, the next and last step is presenting in front of your audience. In this new Slidesgo School tutorial, you’ll see how the presenter view works and how you can record your presentation .

Presentation Modes

Presentation modes — set up slide show, presentation modes — record slide show.

• There are different presentation modes in PowerPoint, besides the one you can find at the bottom of the screen.
• To access the presentation modes, go to the Slide Show tab.
• The first two options allow you to start the presentation from the beginning or from the currently selected slide.

• If you choose Present Online, an URL will be generated, which you can then share with your potential online viewers. After clicking this button, a new window will open, displaying info about the Microsoft Office online presentation service and a checkbox to enable remote download for your online audience. To enjoy this service, you need an Office 365 account. When you’re ready, click Connect to generate the URL.
• If you choose Custom Slide Show, you can select which slides to display in your presentation.  First, create a new custom slide show and select the slides that you want to display. Then, click Add, enter the name of the presentation and click OK. This new custom presentation will appear on the list. Select it and click Show to begin the presentation.
• In the Set Up group you’ll find options to set up the presentation, hide slides, rehearse your presentation and even record it.
• Click Set Up Slide Show to adjust several settings regarding your presentation. You’ll find more information in the next section of this tutorial .
• If you click Hide Slide, the selected slide won’t show up during your presentation. Hidden slides will appear faded out on the list and their numbers will be crossed out.
• If you click Record Slide Show, you’ll be able to record your presentation from the beginning or from the current slide. We’ll go into detail in the last section of this tutorial.
• There are several checkboxes regarding whether to play narrations, use timings and show media controls.

• In the Monitors group you can choose which screen to display your presentation.
• The last group, Captions & Subtitles, is only available in Office 365. You’ll find options to enable subtitles, which will be generated out of your speech (so you’ll need to have a mic). There are settings to change the language and the position of the subtitles.
• Open your presentation in PowerPoint.
• Go to the Slide Show tab.
• In the Set Up group, click Set Up Slide Show. A new window will open, where you’ll find several options.
• In the top-left corner, under “Show type”, you can choose whether the presentation will be in fullscreen with speaker notes, windowed, or in fullscreen without speaker notes or the menu bar.

• Under “Show options” you can choose whether to show the presentation without narration or animations, or disable the hardware graphics acceleration (for better performance). You can also set the pen and laser pointer color.

• Under “Show slides”, you can choose which slides to show in your presentation. You can select all of them, a specific range or a custom slideshow.
• There are other settings to determine how to advance slides (manually or using timings), what the resolution will be and whether to use the presenter view.
• Click Record Slide Show. From the drop-down menu, select From the Current Slide or From the Beginning.
• A new window will open, along with the presentation in fullscreen mode. At the top-left you’ll find a button to start recording.

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Home Blog Design How to Make a Presentation Graph

How to Make a Presentation Graph

Visuals are a core element of effective communication, and regardless of the niche, graphs facilitate understanding data and trends. Data visualization techniques aim to make data engaging, easy to recall and contextualize while posing as a medium to simplify complex concepts .

In this article, we’ll guide you through the process of creating a presentation graph, briefly covering the types of graphs you can use in presentations, and how to customize them for maximum effectiveness. Additionally, you can find references on how to narrate your graphs while delivering a presentation.

Table of Contents

What is a Presentation Graph?

Types of graphs commonly used in presentations, how to select a presentation graph type, design principles for effective presentation graphs, working with presentation graph templates, integrating the graph into your presentation, common mistakes to avoid when making a presentation graph, final words.

A presentation graph is a visual representation of data, crafted in either 2D or 3D format, designed to illustrate relationships among two or more variables. Its primary purpose is to facilitate understanding of complex information, trends, and patterns, making it easier for an audience to grasp insights during a presentation. 

By visually encoding data, presentation graphs help highlight correlations, distributions, and anomalies within the dataset, thereby supporting more informed decision-making and discussion. 

Various types of graphs are commonly used in presentations. Each type serves specific purposes, allowing presenters to choose the most suitable format for conveying their data accurately. Here, we’ll discuss some common examples of presentation graphs.

Check our guide for more information about the differences between charts vs. graphs .

A bar chart is a visual tool that represents data using horizontal bars, where the length of each bar correlates with the data value it represents. This type of chart is used to compare discrete categories or groups, highlighting differences in quantities or frequencies across these categories. 

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

Column Graphs

Column graphs are a variation of bar charts. They display data through vertical columns, allowing for comparing values across different categories or over time. Each column’s height indicates the data value, making it straightforward to observe differences and trends.

Line Graphs

Line graphs depict information as a series of data points connected by straight lines. They are primarily used to show trends over time or continuous data, with the x-axis typically representing time intervals and the y-axis representing the measured values. Line graphs highlight the rate of change between the data points, indicating trends and fluctuations.

For more information check our collection of line chart PowerPoint templates .

Circle Graphs

Circle graphs, commonly known as pie charts or donut charts, present the data distribution as fractions of an entity. They provide a quick understanding of the relative sizes of each component within a dataset. Pie charts are particularly effective when the goal is to highlight the contribution of each part to the whole data.

For more information check our collection of circle diagram templates .

Area Graphs

Area graphs are similar to line graphs, but the space below the line is filled in, emphasizing the volume beneath the curve. They represent cumulative totals over time through the use of sequential data points, making it easier to see total values and the relative significance of different parts of the data.

For more information check our collection of area chart PowerPoint templates .

Cone, Cylinder, and Pyramid Graphs

Three-dimensional graphs, such as cones, cylinders, and pyramids, create a dynamic visual impact on presentations. While not as common as the other types, they are used for their ability to add depth and dimension to data representation. These graphs create a visually engaging experience for the audience, although sometimes they sacrifice accuracy for the sake of visuals.

For more information check our collection of pyramid diagram PowerPoint templates .

As a presenter, you must be aware of both the topic’s requirements to discuss and your audience’s needs. Different graphs fulfill distinct purposes, and selecting the right one is critical for effective communication.

Line Graphs for Trends Over Time

A line graph is effective when you want to present trends or changes over a continuous period, like sales performance over months. Each point on the line represents a specific time, offering a clear visual representation of the data’s progression.

Bar Graphs for Comparing Quantities

If your goal is to compare quantities or values across different categories, such as sales figures for various products, a bar graph is suitable. The varying lengths of bars make it easy to compare the magnitudes of different categories.

Pie Charts for Showing Proportions

Use pie charts when you want to illustrate parts of a whole. For example, to represent the percentage distribution of expenses in a budget, a pie chart divides the total into segments, each corresponding to a category.

Follow these guidelines to create your presentation graph for the data you intend to represent. 

How to Make a Presentation Graph in PowerPoint

Start by opening your presentation slide deck. For this tutorial’s purpose, we’ll work with a blank slide.

Switch to the Insert tab and click on Chart . 

A new dialogue window will open, where you have to select the chart type and the specific representation type—i.e., for area charts, you can choose from 2D or 3D area charts and their distribution method.

If you hover over the selected chart, it will zoom in to check the details. Double-click to insert the chosen graph into the slide.

As we can see, a spreadsheet to edit the data is now available. If you accidentally close it, go to Chart Design > Edit Data.

Replace the data in the numbers to reflect the data you need to showcase. The columns’ titles indicate the text the legend shows for each series. Then, we can close the spreadsheet and continue customizing it.

By clicking on the paintbrush, we access the Style options for the graph. We can change the background color, layout style, and more.

If we switch to the Color tab inside of Style , we can modify the color scheme for the presentation graph. And as simple as that is how to make a graph in PowerPoint.

How to Make a Presentation Graph in Google Slides

Now, let’s see how to create a graph in Google Slides. We start once again from a blank slide.

Go to Insert > Chart . Select your desired presentation graph option. In our case, we will work with a Pie Chart.

To change the placeholder data, click on Edit Data .

If you missed the emergent tab, you can go to the three points in the graph, click on them, and select Open Source .

The graph will most likely cover the data spreadsheet, so move it to one side to see the entire data range. In this case, the auto-generated graph is wrong as the sum gives 110%. We’ll correct that now.

And this is how it looks with the corrected data.

Next, we click on the three dots on the chart and select Edit the Chart . This shall open all customization options.

At the Setup tab, we can change the chart style and select from various options. 

The data will refresh in that case and adapt its representation to the new style.

If we switch to the Customize tab (it says Customise, as the selected language is UK English), we can fine-tune our presentation graph starting from the background color.

Activate the 3D checkbox to change to a 3D pie chart (applicable to any graph).

We can find tailored settings for the Pie Chart to convert it to a donut chart, with settings like the donut hole size.

The Pie Slice section helps us change the color scheme for each one of the slices.

We can change the title and axis titles in the Chart and axis titles section.

Finally, the Legend section offers many customization options to alter the legend’s format.

Once the customization process is completed, close the Google Spreadsheets tab, go to your presentation chart, and click Update .

Google Slides will refresh the data for your created presentation graph with the last synced data.

Adhering to certain design principles is imperative for creating graphs and communicating information effectively.

Simplicity and Clarity

A graph should be clean and free from unnecessary details. Clear graphs have visible data points and helpful short texts for better understanding. Even if it looks simple, it can still show important information. To make it easy to understand, avoid adding distortions, shading, weird perspectives, too many colors, unnecessary decorations, or 3D effects [2]. It is also essential to ensure the plotted data points are clear, not hidden or covered.

Use of Color and Contrast

Thoughtful use of color and contrast enhances visual appeal and distinguishes different elements within the graph. Colors can effectively improve the chart presentation in three ways: highlighting specific data, grouping items, and encoding quantitative values. However, do not use fancy or varying colors in the background. We suggest resisting decorating graphs excessively, as it can hinder clear data presentation [4]. Only use different colors when they highlight important differences in the data.

Labeling and Legends

Accurate labeling is crucial to provide context and understanding. While designing graphs, we don’t expect the viewer to guess. Instead, we clearly label titles and axes.  Clear labeling means displaying both axes on your graph, including measurement units if needed. Identify symbols and patterns in a legend or caption [3]. Legends explain symbols and patterns in a graph.

Scale and Proportion

For more clarity, we keep the measurement scales consistent and avoid distortions for accuracy. This ensures the exact difference between all the values. It will present data relationships and prevent misinterpretation due to skewed visual perceptions.

Tips for Customizing Graphs

PowerPoint provides various customization options—Right-click on elements like axes, data points, or legends to format them. You can also change colors, fonts, and styles to match your presentation’s look.

Coloring Your Data

When you want to make different parts of your chart stand out, click on a bar or line. Then, right-click and choose “Format Data Series.” Here, you can pick a color that helps each set of data pop. Do this for each part of your chart to make it visually appealing.

Changing the Chart Background

If you want to change the background color around your chart, right-click on the white space. Choose “Format Chart Area” and change the background color to something that complements your data.

Customizing Line Styles

Change the appearance of your lines for a unique look. Click on a line in your chart, right-click, and select “Format Data Series.” Experiment with different line styles, such as solid, dashed, or dotted.

Fine-tuning Axis Appearance

To make your chart axes look polished, right-click on the X or Y axis and choose “Format Axis.” Adjust properties like line color, tick marks, and label font to suit your design.

Perfecting Legends

Legends can be tweaked for a more integrated look. Right-click on the legend, select “Format Legend,” and adjust options like placement, font size, and background color to enhance the overall appearance.

Creating graphs in PowerPoint or Google Slides from scratch can be time-consuming, and ultimately, it won’t yield the same results as professional-made designs. We invite you to discover some cool designs for presentation graphs PPT templates made by SlideModel.

1. Dashboard Presentation Graph for PowerPoint & Google Slides

Don’t worry about how to make a graph in PowerPoint – let’s us bring the resources in the shape of a cool dashboard layout. Ideal for any kind of e-commerce business, you can track expenses or income, evaluate metrics, and much more.

Use This Template

2. Infographic Donut Chart Presentation Template

Explain concepts in different hierarchy levels, or processes that require a set of sequential steps by implementing this donut chart PPT template. Each segment has a bubble callout to expand further information for the areas required.

3. Presentation Graph Slide Deck PPT Template

All that’s required to create a data-driven presentation is here. Customize donut charts, funnels, histograms, point & figure charts, and more to create professionally-designed presentation slides.

4. PowerPoint Charts Slide Deck

If you’re looking for clean layouts for column graphs, area charts, line graphs and donut charts, this is the template you need in your toolbox. Perfect for marketing, financial and academic reports.

Consider its relevance to the content when incorporating your graph into the presentation. Insert the graph in a slide where it logically fits within the flow of information.

Positioning the Graph Appropriately in the Presentation

Deciding where to put your graph in the presentation is essential. You want it to be where everyone can see it easily and where it makes sense. Usually, you place the graph on a slide that talks about the data or topic related to the graph. This way, people can look at the graph simultaneously when you talk about it. Make sure it is not too small. If needed, you can make it bigger or smaller to fit nicely on the slide. The goal is to position the graph so that it helps your audience understand your information better.

Ensuring Consistency with the Overall Design of the Presentation

Align the graph with the overall design of your presentation to maintain a cohesive visual appeal. You can use consistent colors, fonts, and styles to integrate the graph seamlessly. The graph must complement the theme and tone of your slides. Therefore, you should avoid flashy or distracting elements that may deviate from the established design. The goal is to create a harmonious and professional presentation where the graph blends naturally without causing visual disruptions. However, we recommend you use bar chart templates already available for presentation.

Narrating Your Graph

When explaining your graph during the presentation, start by providing context. Clearly state what the graph illustrates and its significance to the audience. Use simple and direct language, avoiding unnecessary jargon. It is important to walk through the axes, data points, and any trends you want to highlight. Speaking moderately allows the audience to absorb the information without feeling rushed. You can take pause when needed to emphasize crucial points or transitions.

You can learn more about creative techniques to narrate your graph in our data storytelling guide.

Overloading with Information

One common mistake is presenting too much information on a single graph. Avoid filling the graph with excessive data points or unnecessary details.

Misleading Scales or Axes

Scale mistakes, such as uneven intervals or a bar chart with zero baselines, are common graphical mistakes [5]. Misleading scales can distort the interpretation of the graph and lead to incorrect conclusions. Scales should accurately present the data without exaggerating certain aspects.

Inappropriate Graph Types for the Data

Selecting an inappropriate graph type for your data is a mistake to avoid. Choose a graph type that effectively communicates the nature of your data. For instance, a pie chart for time-based trends might not be the most suitable choice. Match the graph type to the data characteristics to convey information accurately.

Working with presentation graphs may feel challenging for a beginner in presentation design software. Still, practice makes the master. Start by clearly stating your objectives in terms of data representation—this will make the presentation graph-type selection process much easier. Customize the graph by working with appropriate color combinations (you can learn more about this in our color theory guide), as this can also help highlight relevant data sections that may influence an informed decision.

Everything depends on your creative skills and how you want to showcase information. As a final piece of advice, we highly recommend working with one graph per slide, unless you opted for a dashboard layout. Ideally, graphs should be seen from a distance, and working with reduced sizes may hinder accurate data representation.

[1] https://uogqueensmcf.com/wp-content/uploads/2020/BA Modules/Medical Laboratory/Medical Laboratory Courses PPT/Year III Sem II/Biostatistics/lecture 1.pdf (Accessed: 06 March 2024).

[2] Five Principles of Good Graphs. https://scc.ms.unimelb.edu.au/resources/data-visualisation-and-exploration/data-visualisation

[3} Guide to fairly good graphs. Statistics LibreTexts. https://stats.libretexts.org/Bookshelves/Applied_Statistics/Biological_Statistics_(McDonald)/07%3A_Miscellany/7.02%3A_Guide_to_Fairly_Good_Graphs

[4] Practical rules for using color in charts. https://nbisweden.github.io/Rcourse/files/rules_for_using_color.pdf

[5] https://iase-web.org/islp/documents/Media/How%20To%20Avoid.pdf [6] Duquia, R.P. et al. (2014) Presenting data in tables and charts , Anais brasileiros de dermatologia . 10.1590/abd1806-4841.20143388

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Tableau Reader Help

Using presentation mode.

As you interact with your view, you might want to share your findings with others using Presentation Mode . When you use this mode, Tableau hides the toolbar and menu and shows only the view, similar to presenting a slide show.

Note: If you want to hide individual sheets, contact the workbook author.

The following table describes the different controls that are available when you are in presentation mode. These controls are displayed in the bottom right corner of the screen.

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View reports and dashboards in presentation mode on Windows devices

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The Power BI Windows app was retired on December 31st, 2023, and is no longer supported. It's been removed from the Microsoft apps store, and no further product updates for it will be released. Please use the Power BI service to view your Power BI content on Windows devices.

This notice only applies to the Power BI Windows app. It does not affect the Power BI Desktop app.

You can use presentation mode to display reports and dashboards in full-screen on Windows devices. Presentation mode is useful for displaying Power BI at meetings or conferences, or on a dedicated projector at the office, or even just for maximizing space on a small screen.

In presentation mode:

• All the "chrome" (such as the navigation and menu bars) disappears, making it easier to focus on the data in your report.
• An action toolbar becomes available to enable you to interact with your data and to control the presentation.
• You can play a slideshow that cycles automatically between pages, bookmarks, or both pages and bookmarks.

Use presentation mode

From the toolbar you can tap to perform the following actions:

You can undock the toolbar and drag and drop it to anywhere on the screen. This is useful for large screens, when you want to focus on a specific area in your report and want to have the tools available next to it. Just place your finger on the toolbar and swipe it into the report canvas.

You can play a slideshow to automatically cycle through your presentation. You can set the slideshow to cycle through pages, bookmarks, or both pages and bookmarks. During the slideshow, report pages with auto page refresh will continue to automatically refresh as configured, ensuring that the most current data is always shown.

When you select the Play button on the action toolbar, the slideshow begins. A controller appears that allows you to pause the slideshow or to change what's being played: pages, bookmarks, or both pages and bookmarks.

The controller shows the name of the currently displayed view (page or bookmark and page). In the image above, we see that in the report called Sales , we are currently viewing the Asia Pacific bookmark on the Sales Performance page.

By default, a slideshow cycles through pages only, at a rate of one every 30 seconds. You can change the default behavior in the Slideshow settings .

Auto play a slideshow on startup

You can set up the Power BI Windows app to start playing a slideshow automatically whenever the app is launched. This option is useful for creating a kiosk-like experience that runs a report in public displays without any manual intervention. See Slideshow settings for detail about setting up a report for autoplay.

Slideshow settings

By default, a slideshow cycles through pages only, at a rate of one every 30 seconds. You can change this default behavior by going to Settings > Options , as illustrated below. You can also turn on autoplay and choose a report to play.

Select the settings icon.

Open the options page.

If desired, change the default settings for what the slideshow will cycle over (pages, bookmarks, or both) and how frequently the slides will transition.

If you want your report to start playing automatically when the app is launched, turn on the toggle and choose Select Report . You will be able to search for reports you have access to.

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• Questions? Try asking the Power BI Community

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Present your content with Presenter mode

Presenter mode is designed to showcase content on a page or blog post with reduced distractions. After selecting this mode, the content enters a full-screen view, stripping out all side panels, options menus, and in-line comments so the content looks clean and simple when presented.

Presenter mode is not available for content created on the legacy editor.

To enter Presenter mode:

You can enter Presenter mode by choosing Presenter mode in the More actions menu or using the r keyboard shortcut.

1. Select More actions (…)

2. Select Presenter mode

Navigate with selective focus

By using the arrows at the top right of your screen, you have the option to highlight sections of your content and direct your audience’s focus. You can also use the keys → ↓ , Return, or Space on your keyboard to move to the next content section, and ← or ↑ to move to the previous section.

Selective focus highlights sections based on headers, tables, and layouts. It also highlights text separated by dividers.

Jump to a section

You can also use the section dropdown on the top right to selectively highlight a specific section of the page. Select a heading, table, or layout to scroll directly there and highlight it for your audience.

Change the appearance

The presentation settings include options to change the appearance of the page.

Full-screen view: The current page fills the screen and your browser controls are hidden. Toggle it off to reveal them. This is turned on when you start Presenter mode.

Cursor spotlight: Your cursor becomes a large circle so it’s easier for the audience to see. This is turned on when you start Presenter mode.

Present in Dark theme: You can switch between Light and Dark themes. This presentation setting defaults to your Confluence setting for Themes , but if you change it here, it will not affect your Confluence theme selection when you leave Presenter mode.

Share the page or blog post with QR code

When in Presenter mode, the page will generate a QR code that allows you to share the page’s URL. If you choose to do so, the participants can use their mobile device to scan and open the page to follow along.

To show the QR code (Presenter):

Select More actions (…)

Select Presenter mode

Click Share via QR to open the QR code screen on the bottom right corner of your page

To scan the QR code (Participants):

Using your mobile device, use the camera or a QR code reader application to scan.

The device will show the URL to the Confluence page being presented.

Open the page and choose to star, comment, or just follow along with your presenter.

Use the Presenter mode template

When you create a new page, you have the option of pre-formatting your content with a page template. (Note that this feature isn’t currently available on Confluence mobile).

The Presenter mode template will guide you through creating a page that looks best when presented. You’ll find guidance as well as best practices for your presentation. Learn about creating a page from a template .

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Engage your audience with presenter modes in Microsoft Teams

Meeting participants tend to be more focused and have a better experience when they see a presenter along with a presentation. An interactive presenter also helps guide an audience along with visual cues while reducing information overload.  By using a presenter mode such as Standout , Side-by-side , or Reporter in a Teams meeting instead of sharing screen or window content only, you become a more engaging and integral part of your presentation. The following examples show how each presenter mode appears to an audience:

Use a presenter mode

Under Presenter mode , choose the mode that you want. Also, be sure that your camera is turned on.

To start your presentation, choose to share your  S creen or Window on your PC or device.

Note:  Using interactive presenter modes with PowerPoint Live will soon be available.

Note:  Presenter mode customization is available as part of the public preview program and might undergo further changes before being released publicly. To get access to this and other upcoming features, switch to  Teams public preview . 

Presenter modes also allow presenters to customize how their content will be oriented on screen and adjust the size of the video to better fit the presentation.  

Customize video display 

1. Use the  Position buttons in the preview window to direct where videos will appear in relation to the content.  

2. Enlarge or reduce video size using the Size slider. Slide the circle to the left to reduce the size of a video, or to the right to enlarge the size of a video. 

More things to know

Interactive presenter modes are only available for the desktop version of Teams.

Meeting attendees using the mobile or online versions of Teams will see a shared window or screen and presenter video separately.

When you use an interactive presenter mode, a small, moveable picture-in-picture window pops up to show you what your audience sees. If you close this window and need it again, restart the presenter mode.

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