Presentation Description Mastery: A Step-by-Step Guide in 2024

Anh Vu • 05 April, 2024 • 8 min read

The correct presentation description is what makes it more interesting for the target audience.

It will provide an opportunity to make a text that will attract the attention of the target audience and help convey the key idea. But for this task to be completed, you need to make the description high quality. Let’s consider in more detail how to create an appealing presentation description.

Table of Contents

  • Three Key Ideas
  • Harmonious combination of speech and presentation
  • Use the Services of Professionals
  • The relationship of presentation elements
  • Match the content of the presentation with its purpose
  • Ignore the Myths About Ideal Scope
  • Use the tips from the list below
  • Put yourself in the audience place 
  • Frequently Asked Questions

Tips for Better Engagement

  • How to start a presentation
  • Script presentation

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1. Three Key Ideas – Presentation Description

To make it easier for the audience to perceive the meaning of what was said, the thoughts outlined in the presentation should be structured. Therefore, it is worth asking yourself: “If the audience remembered only 3 ideas from my speech, what would they be about?”. Even if the presentation is voluminous, it should revolve around these 3 key ideas. This does not narrow the meaning of what has been said. On the contrary, you will be able to focus the attention of the target audience around a few basic messages.

2. Harmonious Combination of Speech and Presentation – Presentation Description

Often speakers use the presentation as a dubbing of what they are saying. But this option is completely ineffective. It makes no sense to give the same content in different forms. The presentation should be an addition, not just a repetition of what has been said. She can emphasize key ideas, but not duplicate everything. An option is appropriate when the main essence of what was said is briefly structured in the presentation.

3. Use the Services of Professionals – Presentation Description

The team of professional EssayTigers writers will create a great presentation text for you that will work for you. This description will strengthen the idea and reveal it from the best side.

4. The Relationship of Presentation Elements – Presentation Description

Those presentations, the components of which look too fragmented, do not inspire confidence. The audience gets the impression that the material is grouped randomly. It is very difficult to understand such material. And most importantly, the audience needs to understand why this information is being offered to them. When there is no single plot, there is no unifying meaning. People who will be introduced to the presentation will not understand what exactly they want to say. Work to ensure that the relationship between the components of your presentation is built correctly. Then, having read one slide, the audience will expect another.

The most significant vector of efforts should be directed to what arouses people’s interest. Winning the fight for attention is a major win that can help you win other people’s love.

5. Match the Content of The Presentation with Its Purpose – Presentation Description

The goals may be different. If the task is to convince people of the benefits of a product or the benefits of an affiliate program, you need numbers, research, facts, and comparative characteristics. Emotional arguments in this case, as a rule, do not work. And if you need to enhance the meaning of an artistic or literary presentation, the presentation may consist of slides with art objects and short quotes or aphorisms. In each case, you need to pay attention to the context of the situation. If it is an informal context where people are sharing something creative, the text for the presentation can be written in a more free form. And if you need to convincingly argue in a given situation, textual content requires a clear structure.

description presentation or visualization

6. Ignore the Myths About Ideal Scope – Presentation Description

The description really shouldn’t be too overloaded. This is the only tip that applies to all presentations. But its exact volume cannot be inscribed in some universal formula. It all depends on:

  • performance time;
  • the number of facts that you want to convey to the audience;
  • the complexity of the information presented and the need for it to be complemented by specific explanatory footnotes.

Focus on the topic, the specifics of the content, and the time you have to spend on the presentation.

7. Use the Tips from The List Below – Presentation Description

We offer recommendations that will help make the text more literate, concise, and capacious:

  • On one slide, reveal only one thought, this will not scatter the attention of the audience.
  • If one of the ideas you want to convey to people is not easy to understand, break it up into several slides and provide footnotes with explanations.
  • If the text can be diluted with images without losing its meaning, do it. Excess textual information is very difficult to perceive.
  • Don’t be afraid of brevity. A clearly stated idea is remembered much better than too abstract, long, and vague formulations.
  • Ask the audience for feedback after concluding the presentation! You could use a live Q&A tool to make this process easier, to make people feel comfortable to give you a response for improvement later on!

These tips are simple, but they will help.

description presentation or visualization

8. Put Yourself in The Audience Place – Presentation Description

If you don’t know how people will be able to perceive what you plan to convey to them, put yourself in the place of the audience. Consider whether it would be interesting for you to listen to such a talk and watch the accompanying presentation. If not, what could be improved? This approach will allow you to look at the situation critically and prevent shortcomings instead of facing their consequences.

You could utilize different interactive tools for online presentations, to make sure that your slides are interesting and attractive to participants. Few features you could try include:

  • Divide your team into groups by AhaSlides random team generator , to gather more diverse responses!
  • AhaSlides’ AI  Online Quiz Creator  brings sheer joy to any lesson, workshop or social event
  • AhaSlides  Live Word Cloud  Generator adds sparks to your presentations, feedback and brainstorming sessions, live workshops and virtual events.

About The Author

Leslie Anglesey is a freelance writer, journalist, and author of various articles with a passion for telling stories about the economic and social situation in the world. In case of any inquiries or suggestions kindly reach out to her at [email protected].

Frequently Asked Questions:

How do you write a presentation description.

Presentation description helps the audience perceive easily the meaning and the structure of the presentation. It is the very basic information for a presentation, and before writing a presentation description, you should ask yourself: “If the audience remembered only 3 ideas from my speech, what would they be about?”. You could also use the AhaSlides idea board to organize thoughts and opinions better in the presentation!

How long should a presentation description be?

There is no fixed rule on the length of a presentation description, as long as it provides sufficient information so that the audience can have a comprehensive view of the topic, structure, and purpose of the presentation. A good presentation description could make the audience know what the presentation is about and why they should participate in it.

Anh Vu

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Presentation design guide: tips, examples, and templates

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Anete Ezera January 09, 2023

Presentation design defines how your content will be received and remembered. It’s responsible for that crucial first impression and sets the tone for your presentation before you’ve even introduced the topic. It’s also what holds your presentation together and guides the viewer through it. That’s why visually appealing, easily understandable, and memorable presentation design is what you should be striving for. But how can you create a visually striking presentation without an eye for design? Creating a visually appealing presentation can be challenging without prior knowledge of design or helpful tools. 

With this presentation design guide accompanied by Prezi presentation examples and templates, you’ll have no problem creating stunning and impactful presentations that will wow your audience.

In this guide, we’ll start by looking at the basics of presentation design. We’ll provide a simple guide on creating a presentation from scratch, as well as offer helpful tips for different presentation types. In addition, you’ll discover how to organize information into a logical order and present it in a way that resonates with listeners. Finally, we’ll share tips and tricks to create an eye-catching presentation, and showcase some great presentation examples and templates you can get inspired by!

With our comprehensive introduction to designing presentations, you will be able to develop an engaging and professional presentation that gets results!

a man working on his laptop

What is presentation design?

Presentation design encompasses a variety of elements that make up the overall feel and look of the presentation. It’s a combination of certain elements, like text, font, color, background, imagery, and animations. 

Presentation design focuses on finding ways to make the presentation more visually appealing and easy to process, as it is often an important tool for communicating a message. It involves using design principles like color, hierarchy, white space, contrast, and visual flow to create an effective communication piece.

Creating an effective presentation design is important for delivering your message efficiently and leaving a memorable impact on your audience. Most of all, you want your presentation design to support your topic and make it easier to understand and digest. A great presentation design guides the viewer through your presentation and highlights the most essential aspects of it. 

If you’re interested in learning more about presentation design and its best practices , watch the following video and get practical insights on designing your next presentation:

Types of presentations

When creating a presentation design, you have to keep in mind several types of presentations that shape the initial design you want to have. Depending on the type of presentation you have, you’ll want to match it with a fitting presentation design.

1. Informative

An informative presentation provides the audience with facts and data in order to educate them on a certain subject matter. This could be done through visual aids such as graphs, diagrams, and charts. In an informative presentation, you want to highlight data visualizations and make them more engaging with interactive features or animations. On Prezi Design, you can create different engaging data visualizations from line charts to interactive maps to showcase your data.

2. Instructive

Instructive presentations teach the audience something new. Whether it’s about science, business strategies, or culture, this type of presentation is meant to help people gain knowledge and understand a topic better. 

With a focus on transmitting knowledge, your presentation design should incorporate a variety of visuals and easy-to-understand data visualizations. Most people are visual learners, so you’ll benefit from swapping text-based slides for more visually rich content.

presentation design guide to design presentations

3. Motivational

Motivational presentations try to inspire the audience by giving examples of successful projects, stories, or experiences. This type of presentation is often used in marketing or promotional events because it seeks to get the audience inspired and engaged with a product or service. That’s why the presentation design needs to capture and hold the attention of your audience using a variety of animations and visuals. Go beyond plain images – include videos for a more immersive experience.

4. Persuasive

Persuasive presentations are designed to sway an audience with arguments that lead to an actionable decision (i.e., buy the product). Audiences learn facts and figures relevant to the point being made and explore possible solutions based on evidence provided during the speech or presentation.

In a persuasive presentation design, you need to capture your audience’s attention right away with compelling statistics wrapped up in interactive and engaging data visualizations. Also, the design needs to look and feel dynamic with smooth transitions and fitting visuals, like images, stickers, and GIFs.

persuasive presentation design

How to design a presentation

When you first open a blank presentation page, you might need some inspiration to start creating your design. For this reason, we created a simple guide that’ll help you make your own presentation from scratch without headaches.

1. Opt for a motion-based presentation

You can make an outstanding presentation using Prezi Present, a software program that lets you create interactive presentations that capture your viewer’s attention. Prezi’s zooming feature allows you to add movement to your presentation and create smooth transitions. Prezi’s non-linear format allows you to jump between topics instead of flipping through slides, so your presentation feels more like a conversation than a speech. A motion-based presentation will elevate your content and ideas, and make it a much more engaging viewing experience for your audience.

Watch this video to learn how to make a Prezi presentation:

2. Create a structure & start writing content

Confidence is key in presenting. You can feel more confident going into your presentation if you structure your thoughts and plan what you will say. To do that, first, choose the purpose of your presentation before you structure it. There are four main types of presentations: informative, instructive, motivational, and persuasive. Think about the end goal of your presentation – what do you want your audience to do when you finish your presentation – and structure it accordingly.

Next, start writing the content of your presentation (script). We recommend using a storytelling framework, which will enable you to present a conflict and show what could be possible. In addition to creating compelling narratives for persuasive presentations, this framework is also effective for other types of presentations.

Tip: Keep your audience in mind. If you’re presenting a data-driven report to someone new to the field or from a different department, don’t use a lot of technical jargon if you don’t know their knowledge base and/or point of view.

3. Research & analyze 

Knowing your topic inside and out will make you feel more confident going into your presentation. That’s why it’s important to take the time to understand your topic fully. In return, you’ll be able to answer questions on the fly and get yourself back on track even if you forget what you were going to say when presenting. In case you have extra time at the end of your presentation, you can also provide more information for your audience and really showcase your expertise. For comprehensive research, turn to the internet, and library, and reach out to experts if possible.

woman doing an online research

4. Get to design

Keeping your audience engaged and interested in your topic depends on the design of your presentation.

Now that you’ve done your research and have a proper presentation structure in place, it’s time to visualize it.

4.1. Presentation design layout

What you want to do is use your presentation structure as a presentation design layout. Apply the structure to how you want to tell your story, and think about how each point will lead to the next one. Now you can either choose to use one of Prezi’s pre-designed templates that resemble your presentation structure the most or start to add topics on your canvas as you go. 

Tip: When adding content, visualize the relation between topics by using visual hierarchy – hide smaller topics within larger themes or use the zooming feature to zoom in and out of supplementary topics or details that connect to the larger story you’re telling.

4.2. Color scheme

Now it’s time to choose your color scheme to give a certain look and feel to your presentation. Make sure to use contrasting colors to clearly separate text from the background, and use a maximum of 2 to 3 dominating colors to avoid an overwhelming design.

4.2. Content (visuals + text)

Add content that you want to highlight in your presentation. Select from a wide range of images, stickers, GIFs, videos, data visualizations, and more from the content library, or upload your own. To provide more context, add short-format text, like bullet points or headlines that spotlight the major themes, topics, and ideas in your presentation. 

Also, here you’ll want to have a final decision on your font choice. Select a font that’s easy to read and goes well with your brand and topic.

Tip: Be careful not to turn your presentation into a script. Only display text that holds significant value – expand on the ideas when presenting. 

presentation design tips

4.3. Transitions

Last but not least, bring your presentation design to life by adding smooth, attractive, and engaging transitions that take the viewer from one topic to another without disrupting the narrative. 

On Prezi, you can choose from a range of transitions that take you into the story world and provide an immersive presentation experience for your audience. 

For more practical tips read our article on how to make a presentation . 

Presentation design tips

When it comes to presentations, design is key. A well-designed presentation can communicate your ideas clearly and engage your audience, while a poorly designed one can do the opposite.

To ensure your presentation is designed for success, note the following presentation design tips that’ll help you design better presentations that wow your audience.

women working on her laprop

1. Keep it simple

Too many elements on a slide can be overwhelming and distract from your message. While you want your content to be visually compelling, don’t let the design of the presentation get in the way of communicating your ideas. Design elements need to elevate your message instead of overshadowing it. 

2. Use contrasting text colors

Draw attention to important points with contrasted text colors. Instead of using bold or italics, use a contrasting color in your chosen palette to emphasize the text.

3. Be clear and concise. 

Avoid writing long paragraphs that are difficult to read. Limit paragraphs and sections of text for optimum readability.

4. Make sure your slide deck is visually appealing

Use high-quality images and graphics, and limit the use of text to only the most important information. For engaging and diverse visuals, go to Prezi’s content library and discover a wide range of stock images, GIFs, stickers, and more.

5. Pay attention to detail

Small details like font choice and alignments can make a big difference in how professional and polished your presentation looks. Make sure to pay attention to image and text size, image alignment with text, font choice, background color, and more details that create the overall look of your presentation.

6. Use templates sparingly

While templates can be helpful in creating a consistent look for your slides, overusing them can make your presentation look generic and boring. Use them for inspiration but don’t be afraid to mix things up with some custom designs as well. 

7. Design for clarity

Create a presentation layout that is easy to use and navigate, with clear labels and instructions. This is important for ensuring people can find the information they need quickly and easily if you end up sharing your presentation with others.

8. Opt for a conversational presentation design

Conversational presenting allows you to adjust your presentation on the fly to make it more relevant and engaging. Create a map-like arrangement that’ll encourage you to move through your presentation at your own pace. With a map-like design, each presentation will be customized to match different audiences’ needs. This can be helpful for people who have different levels of expertise or knowledge about the subject matter.

9. Be consistent 

Design consistency holds your presentation together and makes it easy to read and navigate. Create consistency by repeating colors, fonts, and design elements that clearly distinguish your presentation from others.

10. Have context in mind

A great presentation design is always dependent on the context. Your audience and objective influence everything from color scheme to fonts and use of imagery. Make sure to always have your audience in mind when designing your presentations.

For more presentation tips, read the Q&A with presentation design experts and get valuable insights on visual storytelling.

Presentation templates

Creating a presentation from scratch isn’t easy. Sometimes, it’s better to start with a template and dedicate your time to the presentation’s content. To make your life easier, here are 10 useful and stunning presentation templates that score in design and engagement. If you want to start creating with any of the following templates, simply go to our Prezi presentation template gallery , select your template, and start creating! Also, you can get inspired by the top Prezi presentations , curated by our editors. There you can discover presentation examples for a wide range of topics, and get motivated to create your own. 

Business meeting presentation

The work desk presentation templates have a simple and clean design, perfectly made for a team or business meeting. With all the topics visible from start, everyone will be on the same page about what you’re going to cover in the presentation. If you want, you can add or remove topics as well as edit the visuals and color scheme to match your needs.

Small business presentation

This template is great for an introductory meeting or pitch, where you have to summarize what you or your business does in a few, highly engaging slides. The interactive layout allows you to choose what topic bubble you’re going to select next, so instead of a one-way interaction, you can have a conversation and ask your audience what exactly they’re interested in knowing about your company.

Mindfulness at work presentation

How can you capture employees’ attention to explain important company values or practices? This engaging presentation template will help you do just that. With a wide range of impactful visuals, this presentation design helps you communicate your ideas more effectively. 

Business review template

Make your next quarterly business review memorable with this vibrant business presentation template. With eye-capturing visuals and an engaging layout, you’ll communicate important stats and hold everyone’s attention until the end.

History timeline template

With black-and-white sketches of the Colosseum in the background, this timeline template makes history come alive. The displayed time periods provide an overview that’ll help your audience to grasp the bigger picture. After, you can go into detail about each time frame and event.

Storytelling presentation template

Share stories about your business that make a lasting impact with this stunning, customizable presentation template. To showcase each story, use the zooming feature and choose to tell your stories in whatever order you want.

Design concept exploration template

Not all meetings happen in person nowadays. To keep that face-to-face interaction even when presenting online, choose from a variety of Prezi Video templates or simply import your already-existing Prezi template into Prezi Video for remote meetings. This professional-looking Prezi Video template helps you set the tone for your meeting, making your designs stand out. 

Employee perks and benefits video template

You can use the employee benefits video template to pitch potential job candidates the perks of working in your company. The Prezi Video template allows you to keep a face-to-face connection with potential job candidates while interviewing them remotely.

Sales plan presentation template

Using a clear metaphor that everyone can relate to, this football-inspired sales plan presentation template communicates a sense of team unity and strategy. You can customize this Prezi business presentation template with your brand colors and content.

Flashcard template

How can you engage students in an online classroom? This and many other Prezi Video templates will help you create interactive and highly engaging lessons. Using the flashcard template, you can quiz your students, review vocabulary, and gamify learning.

Great presentation design examples

If you’re still looking for more inspiration, check out the following Prezi presentations made by our creative users.

Social media presentation

This presentation is a great example of visual storytelling. The use of visual hierarchy and spatial relationships creates a unique viewing experience and makes it easier to understand how one topic or point is related to another. Also, images provide an engaging and visually appealing experience.

Leadership books presentation

Do you want to share your learnings? This interactive presentation offers great insights in an entertaining and visually compelling way. Instead of compiling leadership books in a slide-based presentation, the creator has illustrated each book and added a zooming feature that allows you to peek inside of each book’s content.

Remote workforce presentation

This is a visually rich and engaging presentation example that offers an interactive experience for the viewer. A noteworthy aspect of this presentation design is its color consistency and matching visual elements.

A presentation about the teenage brain 

Another great presentation design example that stands out with an engaging viewing experience. The zooming feature allows the user to dive into each topic and choose what subject to view first. It’s a great example of an educational presentation that holds the students’ attention with impactful visuals and compelling transitions.

Remote work policy presentation

This presentation design stands out with its visually rich content. It depicts exactly what the presentation is about and uses the illustrated window frames in the background image as topic placements. This type of presentation design simplifies complex concepts and makes it easier for the viewer to understand and digest the information.

Everyone can create visually-appealing presentations with the right tools and knowledge. With the presentation design tips, templates, and examples, you’re equipped to make your next presentation a success. If you’re new to Prezi, we encourage you to discover everything it has to offer. With this presentation design guide and Prezi, we hope you’ll get inspired to create meaningful, engaging, and memorable content for your audience!  

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Visualization in Presentations

Home  > PowerPoint Slides  > Visualization in Presentations

In this article, you’ll read about an important parameter for slide evaluation which is about visualization in presentations. Presenting your ideas and concepts visually increases clarity of your message for your audience.

Before we learn about the slide-o-meter parameter…

A quick word about the relationship between Assertion and Evidence:

In a PowerPoint slide, there is a clear place for assertion, evidence and explanation of the slide. Here is the pictorial representation of how assertion-evidence model works on slides:

Evidence is a combination of visual representation and verbal explanation.

For a presentation to be effective, the evidence needs to be easily understood. The best way to achieve this is by using visualization and build.  We will talk about build in another article.

Why use visualization in presentations?

To answer that, I want you to look at the following two slides. Both of them present the same information. Which of these two slides is easier for you to understand?

Slide 2: Visual Slide with charts and Diagrams on Sales Performance

I am sure you chose the second slide.

Here are the two questions I want you to think about –

  • What is the difference between the two slides in presenting the same information?
  • What is the specific reason why the second slide is easier to understand?

Here is the difference:

The first slide provides data about sales performance. The second slide provides information about sales performance by capturing the relationship between the data .

  • Visualization is the art of capturing relationship between objects

Why capture relationship between objects?

Human brain stores information by forming connection between objects. This web of connection is called ‘schema’. For example, the following may be the web of information in our mind about Mammals.

These connections help the brain to retrieve the stored information quickly, and learn new information by establishing the context easily.

When you use visualization in presentations, you help your audience connect your ideas and objects. This helps them ‘get’ your message and retain your information for a long time.

At this point, we wish to recommend our Visual Presentations eBook , which teaches you a simple yet remarkable process to convey your ideas as visual diagrams. It is a must have book, if you are serious about improving your business presentation skills.

Resouce: FREE DOWNLOAD: As a thank you for going through today’s article, you can download the first 3 chapters from the ‘Visual Presentations – eBook’ for free.

A primer on capturing relationship between objects:

While this short article doesn’t give us enough space to explain the detailed process of creating remarkable visual presentations (That’s why we came up with the eBook), we will give you a quick primer on how to capture relationship between objects.

Start with the information on your bulleted slides. Remove the unnecessary words in each of the bulleted sentences. This will help you find the keywords of your message.

For example:

If your bullet point is:

  • Most people have a strange habit when it comes to reading on the net. They don’t follow any specific order in reading the pages. They read in a random order.

Keywords are:

  • Most people have a strange habit when it comes to reading web pages on the net. They don’t follow any specific order in reading the pages. They read in a random order.

Gist: People read web pages in random order.

Once you are clear with the keywords, the next step is to capture the relationship between the keywords. This will help you create the right diagram to represent the relationship.

Here is an example of how to capture the relationship between the keywords:

There is an effective method to capture the relations to help you come up with insightful visuals. We teach you the 3 critical steps for visualization in presentations in the eBook.

You can also read about a rough and ready way to quickly identify the right relationship between objects using the 4 common types of relationships for a shortcut to diagrams .

To summarize the article on visualization in presentations:

  • Since our mind stores information as connections, visual diagrams help your audience to ‘get’ your message fast and retain it longer
  • To visualize information, start with bulleted sentences and remove the junk words to identify the keywords
  • Once you identify the keywords, capture the relationship between keywords in the form of a diagram

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Read related article on  Visual Chunking for effective PowerPoint Design

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Home Blog Design Understanding Data Presentations (Guide + Examples)

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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

description presentation or visualization

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 .

[2] Kosslyn, S.M., 1989. Understanding charts and graphs. Applied cognitive psychology, 3(3), pp.185-225.

[3] Creating a Dashboard .



[6] Jadeja, M. and Shah, K., 2015, January. Tree-Map: A Visualization Tool for Large Data. In GSB@ SIGIR (pp. 9-13).

[7] Heat Maps and Quilt Plots.


[9] About Pie Charts.

[10] Histograms. [11]

description presentation or visualization

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Blog Graphic Design What is Data Visualization? (Definition, Examples, Best Practices)

What is Data Visualization? (Definition, Examples, Best Practices)

Written by: Midori Nediger Jun 05, 2020

What is Data Visualization Blog Header

Words don’t always paint the clearest picture. Raw data doesn’t always tell the most compelling story. 

The human mind is very receptive to visual information. That’s why data visualization is a powerful tool for communication.    

But if “data visualization” sounds tricky and technical don’t worry—it doesn’t have to be. 

This guide will explain the fundamentals of data visualization in a way that anyone can understand. Included are a ton of examples of different types of data visualizations and when to use them for your reports, presentations, marketing, and more.

Table of Contents

  • What is data visualization?

What is data visualization used for?

Types of data visualizations.

  • How to present data visually  (for businesses, marketers, nonprofits, and education)
  • Data visualization examples

Data visualization is used everywhere. 

Businesses use data visualization for reporting, forecasting, and marketing. 

Persona Marketing Report Template


Nonprofits use data visualizations to put stories and faces to numbers. 

Gates Foundation Infographic

Source:  Bill and Melinda Gates Foundation

Scholars and scientists use data visualization to illustrate concepts and reinforce their arguments.

Light Reactions Chemistry Concept Map Template


Reporters use data visualization to show trends and contextualize stories. 

Data Visualization Protests Reporter

While data visualizations can make your work more professional, they can also be a lot of fun.

What is data visualization? A simple definition of data visualization:

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart , infographic , diagram or map. 

The field of data visualization combines both art and data science. While a data visualization can be creative and pleasing to look at, it should also be functional in its visual communication of the data. 

Data Visualization Meme

Data, especially a lot of data, can be difficult to wrap your head around. Data visualization can help both you and your audience interpret and understand data. 

Data visualizations often use elements of visual storytelling to communicate a message supported by the data. 

There are many situations where you would want to present data visually. 

Data visualization can be used for:

  • Making data engaging and easily digestible
  • Identifying trends and outliers within a set of data
  • Telling a story found within the data
  • Reinforcing an argument or opinion
  • Highlighting the important parts of a set of data

Let’s look at some examples for each use case.

1. Make data digestible and easy to understand

Often, a large set of numbers can make us go cross-eyed. It can be difficult to find the significance behind rows of data. 

Data visualization allows us to frame the data differently by using illustrations, charts, descriptive text, and engaging design. Visualization also allows us to group and organize data based on categories and themes, which can make it easier to break down into understandable chunks. 

Related : How to Use Data Visualization in Your Infographics

For example, this infographic breaks down the concept of neuroplasticity in an approachable way:

Neuroplasticity Science Infographic

Source: NICABM

The same goes for complex, specialized concepts. It can often be difficult to break down the information in a way that non-specialists will understand. But an infographic that organizes the information, with visuals, can demystify concepts for novice readers.

Stocks Infographic Template Example


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The report uses data gathered from over 100,000 customers of HubSpot CRM. In addition to that, you’ll also know about the trends in using visuals in content marketing and the impacts of the pandemic on visual content, from 200+ marketers all over the world interviewed by Venngage.

marketing statistics report 2022 Venngage Hubspot


2. Identify trends and outliers

If you were to sift through raw data manually, it could take ages to notice patterns, trends or outlying data. But by using data visualization tools like charts, you can sort through a lot of data quickly. 

Even better, charts enable you to pick up on trends a lot quicker than you would sifting through numbers.

For example, here’s a simple chart generated by Google Search Console that shows the change in Google searches for “toilet paper”. As you can see, in March 2020 there was a huge increase in searches for toilet paper:

SEO Trends 2020 Chart

Source: How to Use SEO Data to Fuel Your Content Marketing Strategy in 2020

This chart shows an outlier in the general trend for toilet paper-related Google searches. The reason for the outlier? The outbreak of COVID-19 in North America. With a simple data visualization, we’ve been able to highlight an outlier and hint at a story behind the data. 

Uploading your data into charts, to create these kinds of visuals is easy. While working on your design in the editor, select a chart from the left panel. Open the chart and find the green IMPORT button under the DATA tab. Then upload the CSV file and your chart automatically visualizes the information. 

June 2020 Updates9

3. Tell a story within the data

Numbers on their own don’t tend to evoke an emotional response. But data visualization can tell a story that gives significance to the data. 

Designers use techniques like color theory , illustrations, design style and visual cues to appeal to the emotions of readers, put faces to numbers, and introduce a narrative to the data. 

Related : How to Tell a Story With Data (A Guide for Beginners)

For example, here’s an infographic created by World Vision. In the infographics, numbers are visualized using illustrations of cups. While comparing numbers might impress readers, reinforcing those numbers with illustrations helps to make an even greater impact. 

World Vision Goat Nonprofit Infographic

Source: World Vision

Meanwhile, this infographic uses data to draw attention to an often overlooked issue:

Coronavirus Impact On Refugees Infographic Venngage

Read More:  The Coronavirus Pandemic and the Refugee Crisis

4. Reinforce an argument or opinion

When it comes to convincing people your opinion is right, they often have to see it to believe it. An effective infographic or chart can make your argument more robust and reinforce your creativity. 

For example, you can use a comparison infographic to compare sides of an argument, different theories, product/service options, pros and cons, and more. Especially if you’re blending data types.

Product Comparison Infographic

5. Highlight an important point in a set of data

Sometimes we use data visualizations to make it easier for readers to explore the data and come to their own conclusions. But often, we use data visualizations to tell a story, make a particular argument, or encourage readers to come to a specific conclusion. 

Designers use visual cues to direct the eye to different places on a page. Visual cues are shapes, symbols, and colors that point to a specific part of the data visualization, or that make a specific part stand out.

For example, in this data visualization, contrasting colors are used to emphasize the difference in the amount of waste sent to landfills versus recycled waste:

Waste Management Infographic Template

Here’s another example. This time, a red circle and an arrow are used to highlight points on the chart where the numbers show a drop: 

Travel Expense Infographic Template

Highlighting specific data points helps your data visualization tell a compelling story.

6. Make books, blog posts, reports and videos more engaging

At Venngage, we use data visualization to make our blog posts more engaging for readers. When we write a blog post or share a post on social media, we like to summarize key points from our content using infographics. 

The added benefit of creating engaging visuals like infographics is that it has enabled our site to be featured in publications like The Wall Street Journal , Mashable , Business Insider , The Huffington Post and more. 

That’s because data visualizations are different from a lot of other types of content people consume on a daily basis. They make your brain work. They combine concrete facts and numbers with impactful visual elements. They make complex concepts easier to grasp. 

Here’s an example of an infographic we made that got a lot of media buzz:

Game of Thrones Infographic

Read the Blog Post: Every Betrayal Ever in Game of Thrones

We created this infographic because a bunch of people on our team are big Game of Thrones fans and we wanted to create a visual that would help other fans follow the show. Because we approached a topic that a lot of people cared about in an original way, the infographic got picked up by a bunch of media sites. 

Whether you’re a website looking to promote your content, a journalist looking for an original angle, or a creative building your portfolio, data visualizations can be an effective way to get people’s attention.

Data visualizations can come in many different forms. People are always coming up with new and creative ways to present data visually. 

Generally speaking, data visualizations usually fall under these main categories:

An infographic is a collection of imagery, charts, and minimal text that gives an easy-to-understand overview of a topic. 

Product Design Process Infographic Template

While infographics can take many forms, they can typically be categorized by these infographic types:

  • Statistical infographics
  • Informational infographics
  • Timeline infographics
  • Process infographics
  • Geographic infographics
  • Comparison infographics
  • Hierarchical infographics
  • List infographics
  • Resume infographics

Read More: What is an Infographic? Examples, Templates & Design Tips


In the simplest terms, a chart is a graphical representation of data. Charts use visual symbols like line, bars, dots, slices, and icons to represent data points. 

Some of the most common types of charts are:

  • Bar graphs /charts
  • Line charts
  • Bubble charts
  • Stacked bar charts
  • Word clouds
  • Pictographs
  • Area charts
  • Scatter plot charts
  • Multi-series charts

The question that inevitably follows is: what type of chart should I use to visualize my data? Does it matter?

Short answer: yes, it matters. Choosing a type of chart that doesn’t work with your data can end up misrepresenting and skewing your data. 

For example: if you’ve been in the data viz biz for a while, then you may have heard some of the controversy surrounding pie charts. A rookie mistake that people often make is using a pie chart when a bar chart would work better. 

Pie charts display portions of a whole. A pie chart works when you want to compare proportions that are substantially different. Like this:

Dark Greenhouse Gases Pie Chart Template


But when your proportions are similar, a pie chart can make it difficult to tell which slice is bigger than the other. That’s why, in most other cases, a bar chart is a safer bet.

Green Bar Chart Template

Here is a cheat sheet to help you pick the right type of chart for your data:

How to Pick Charts Infographic Cheat Sheet

Want to make better charts? Make engaging charts with Venngage’s Chart Maker .

Related : How to Choose the Best Types of Charts For Your Data

Similar to a chart, a diagram is a visual representation of information. Diagrams can be both two-dimensional and three-dimensional. 

Some of the most common types of diagrams are:

  • Venn diagrams
  • Tree diagrams
  • SWOT analysis
  • Fishbone diagrams
  • Use case diagrams

Diagrams are used for mapping out processes, helping with decision making, identifying root causes, connecting ideas, and planning out projects.

Root Cause Problem Fishbone Diagram Template


Want to make a diagram ? Create a Venn diagram and other visuals using our free Venn Diagram Maker .

A map is a visual representation of an area of land. Maps show physical features of land like regions, landscapes, cities, roads, and bodies of water. 

World Map National Geographic

Source: National Geographic

A common type of map you have probably come across in your travels is a choropleth map . Choropleth maps use different shades and colors to indicate average quantities. 

For example, a population density map uses varying shades to show the difference in population numbers from region to region:

US Population Map Template

Create your own map for free with Venngage’s Map Maker .

How to present data visually (data visualization best practices)

While good data visualization will communicate data or information clearly and effectively, bad data visualization will do the opposite. Here are some practical tips for how businesses and organizations can use data visualization to communicate information more effectively. 

Not a designer? No problem. Venngage’s Graph Maker  will help you create better graphs in minutes.

1. Avoid distorting the data

This may be the most important point in this whole blog post. While data visualizations are an opportunity to show off your creative design chops, function should never be sacrificed for fashion. 

The chart styles, colors, shapes, and sizing you use all play a role in how the data is interpreted. If you want to present your data accurately and ethically, then you need to take care to ensure that your data visualization does not present the data falsely. 

There are a number of different ways data can be distorted in a chart. Some common ways data can be distorted are:

  • Making the baselines something other than 0 to make numbers seem bigger or smaller than they are – this is called “truncating” a graph
  • Compressing or expanding the scale of the Y-axis to make a line or bar seem bigger or smaller than it should be
  • Cherry picking data so that only the data points you want to include are on a graph (i.e. only telling part of the story)
  • Using the wrong type of chart, graph or diagram for your data
  • Going against standard, expected data visualization conventions

Because people use data visualizations to reinforce their opinions, you should always read data visualizations with a critical eye. Often enough, writers may be using data visualization to skew the data in a way that supports their opinions, but that may not be entirely truthful.

Misleading Graphs Infographic Template

Read More: 5 Ways Writers Use Graphs To Mislead You

Want to create an engaging line graph? Use Venngage’s Line Graph Maker to create your own in minutes.

2. Avoid cluttering up your design with “chartjunk”

When it comes to best practices for data visualization, we should turn to one of the grandfather’s of data visualization: Edward Tufte. He coined the term “ chartjunk ”, which refers to the use of unnecessary or confusing design elements that skews or obscures the data in a chart. 

Here’s an example of a data visualization that suffers from chartjunk:

Chartjunk Example

Source: ExcelUser

In this example, the image of the coin is distracting for readers trying to interpret the data. Note how the fonts are tiny – almost unreadable. Mistakes like this are common when a designers tries to put style before function. 

Read More : The Worst Infographics of 2020 (With Lessons for 2021)

3. Tell a story with your data

Data visualizations like infographics give you the space to combine data and narrative structure in one page. Visuals like icons and bold fonts let you highlight important statistics and facts.

For example, you could customize this data visualization infographic template to show the benefit of using your product or service (and post it on social media):

Present Data Visually


  This data visualization relies heavily on text and icons to tell the story of its data:

Workplace Culture Infographic Template

This type of infographic is perfect for those who aren’t as comfortable with charts and graphs. It’s also a great way to showcase original research, get social shares and build brand awareness.

4. Combine different types of data visualizations

While you may choose to keep your data visualization simple, combining multiple types of charts and diagrams can help tell a more rounded story.

Don’t be afraid to combine charts, pictograms and diagrams into one infographic. The result will be a data visualization infographic that is engaging and rich in visual data.

Vintage Agriculture Child Labor Statistics Infographic Template

Design Tip: This data visualization infographic would be perfect for nonprofits to customize and include in an email newsletter to increase awareness (and donations).

Or take this data visualization that also combines multiple types of charts, pictograms, and images to engage readers. It could work well in a presentation or report on customer research, customer service scores, quarterly performance and much more:

Smartphone Applications Infographic Template

Design Tip: This infographic could work well in a presentation or report on customer research, customer service scores, quarterly performance and much more.

Make your own bar graph in minutes with our free Bar Graph Maker .

5. Use icons to emphasize important points

Icons are perfect for attracting the eye when scanning a page. (Remember: use visual cues!)

If there are specific data points that you want readers to pay attention to, placing an icon beside it will make it more noticeable:

Presentation Design Statistical Infographic

Design Tip: This infographic template would work well on social media to encourage shares and brand awareness.

You can also pair icons with headers to indicate the beginning of a new section.

Meanwhile, this infographic uses icons like bullet points to emphasize and illustrate important points. 

Internship Statistics Infographic Template

Design Tip: This infographic would make a great sales piece to promote your course or other service.  

6. Use bold fonts to make text information engaging

A challenge people often face when setting out to visualize information is knowing how much text to include. After all, the point of data visualization is that it presents information visually, rather than a page of text. 

Even if you have a lot of text information, you can still create present data visually. Use bold, interesting fonts to make your data exciting. Just make sure that, above all else, your text is still easy to read.

This data visualization uses different fonts for the headers and body text that are bold but clear. This helps integrate the text into the design and emphasizes particular points:

Dark Child Labor Statistics Infographic Template

Design Tip: Nonprofits could use this data visualization infographic in a newsletter or on social media to build awareness, but any business could use it to explain the need for their product or service. 

As a general rule of thumb, stick to no more than three different font types in one infographic.

This infographic uses one font for headers, another font for body text, and a third font for accent text. 

Read More: How to Choose Fonts For Your Designs (With Examples)

Content Curation Infographic Template

Design Tip: Venngage has a library of fonts to choose from. If you can’t find the icon you’re looking for , you can always request they be added. Our online editor has a chat box with 24/7 customer support.

7. Use colors strategically in your design

In design, colors are as functional as they are fashionable. You can use colors to emphasize points, categorize information, show movement or progression, and more. 

For example, this chart uses color to categorize data:

World Population Infographic Template

Design Tip : This pie chart can actually be customized in many ways. Human resources could provide a monthly update of people hired by department, nonprofits could show a breakdown of how they spent donations and real estate agents could show the average price of homes sold by neighbourhood.

You can also use light colored text and icons on dark backgrounds to make them stand out. Consider the mood that you want to convey with your infographic and pick colors that will reflect that mood. You can also use contrasting colors from your brand color palette.

This infographic template uses a bold combination of pinks and purples to give the data impact:

Beauty Industry Infographic Template

Read More: How to Pick Colors to Captivate Readers and Communicate Effectively

8. Show how parts make up a whole

It can be difficult to break a big topic down into smaller parts. Data visualization can make it a lot easier for people to conceptualize how parts make up a whole.

Using one focus visual, diagram or chart can convey parts of a whole more effectively than a text list can. Look at how this infographic neatly visualizes how marketers use blogging as part of their strategy:

Modern Marketing Statistics Infographic Template

Design Tip: Human resources could use this graphic to show the results of a company survey. Or consultants could promote their services by showing their success rates.

Or look at how this infographic template uses one focus visual to illustrate the nutritional makeup of a banana:

Banana Nutrition Infographic


9. Focus on one amazing statistic

If you are preparing a presentation, it’s best not to try and cram too many visuals into one slide. Instead, focus on one awe-inspiring statistic and make that the focus of your slide.

Use one focus visual to give the statistic even more impact. Smaller visuals like this are ideal for sharing on social media, like in this example:

Geography Statistical Infographic Template

Design Tip: You can easily swap out the icon above (of Ontario, Canada) using Venngage’s drag-and-drop online editor and its in-editor library of icons. Click on the template above to get started.

This template also focuses on one key statistic and offers some supporting information in the bar on the side:

Travel Statistical Infographic Template

10. Optimize your data visualization for mobile

Complex, information-packed infographics are great for spicing up reports, blog posts, handouts, and more. But they’re not always the best for mobile viewing. 

To optimize your data visualization for mobile viewing, use one focus chart or icon and big, legible font. You can create a series of mobile-optimized infographics to share multiple data points in a super original and attention-grabbing way.

For example, this infographic uses concise text and one chart to cut to the core message behind the data:

Social Media Infographic Example


Some amazing data visualization examples

Here are some of the best data visualization examples I’ve come across in my years writing about data viz. 

Evolution of Marketing Infographic

Evolution of Marketing Infographic

Graphic Design Trends Infographic

Graphic Design Trends 2020 Infographic

Stop Shark Finning Nonprofit Infographic

Shark Attack Nonprofit Infographic

Source: Ripetungi

Coronavirus Impact on Environment Data Visualization

Pandemic's Environmental Impact Infographic Template

What Disney Characters Tell Us About Color Theory

Color Psychology of Disney Characters Infographic

World’s Deadliest Animal Infographic

World's Deadliest Animal Gates Foundation Infographic

Source: Bill and Melinda Gates Foundation

The Secret Recipe For a Viral Creepypasta

Creepypasta Infographic

Read More: Creepypasta Study: The Secret Recipe For a Viral Horror Story

The Hero’s Journey Infographic

Hero's Journey Infographic

Read More: What Your 6 Favorite Movies Have in Common

Emotional Self Care Guide Infographic

Emotional Self Care Infographic

Source: Carley Schweet

Want to look at more amazing data visualization? Read More: 50+ Infographic Ideas, Examples & Templates for 2020 (For Marketers, Nonprofits, Schools, Healthcare Workers, and more)

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A look at an apartment complex with palm trees, a pool, and sunbeds

Architectural visualizations are a powerful tool that can help you understand what a project would look like well before it’s finished. Whether they’re used in interior or exterior design, for civil engineering projects, or for small apartment remodels, they can bring any design to life and help you communicate your idea flawlessly.

Although visualizations are most commonly used to get your architectural teams on the same page, communicate design changes with the clients, or put designs in context, they’re handy for perfecting your presentations. Learn how to use them to create stunning presentations that demand attention and highlight your talents.

What are 3D visualizations?

Before you can understand how to use 3D visualizations in your presentations, you need to know what they are. They’re an advanced version of architectural models.

Traditionally, architects and designers would use blueprints, complex illustrations, and 2D drawings to communicate their ideas and present their designs. While they can be effective, they require much technical expertise to understand – a client with no prior experience with architectural drawings would struggle to decipher them.

An alternative is creating scaled architectural models – a miniature physical representation of a project. Much better at communicating what the final design would look like, the architectural model still has shortcomings. Creating it is a painstaking process, and taking it with you to your presentations can be next to impossible.

Hence the growing popularity of architectural visualizations.

3D visualizations are computer-generated representations of architectural designs. They can be created as still images, animations, or interactive videos that enable you to explore every nook and cranny of an architectural project in a virtual environment.

They’re true to life, often even photorealistic. As their name would suggest, they allow you to visualize the final design before the construction team has even been assembled. You don’t have to use your imagination to envision what a red brick facade, green shrubbery, and a pool in a backyard would look like. You can see it all clearly with the help of 3D visualizations.

How do they work?

Although the finished 3D visualization might make it seem like creating it was a piece of cake, that rarely happens. Architectural visualizations need to be created by experienced artists who are well-versed in some of the most powerful 3D rendering software solutions .

The artist can create a design from scratch or use the information from architectural blueprints and 2D drawings to bring a project to life. They can add realistic textures, design elements, furnishings, lighting, and more to make their work seem more life-like. Moreover, they can create anything from a small interior design project to a full-blown neighborhood to make the architectural projects stand out.

What’s truly fascinating is that with the help of 3D rendering software, the artists can quickly identify design errors and construction issues and even simulate conditions such as earthquakes and strong winds to understand how resilient a building would be in real life.

Creating an atmosphere

Using architectural visualizations in your presentations presents unique advantages. First and foremost, it allows you to create an immersive atmosphere that engages your audiences and will enable you to present your designs in the best light.

With a single button click, you can set an intimate, romantic atmosphere by changing the lighting or adjusting the shadows.

You can make your audiences feel more energized and excited about your project by adding people to your presentations and showing them walking around your building. You can highlight the scale of your design by switching up the perspective, doing an aerial view of the building, and injecting movement.

Architectural visualizations enable you to set the mood for your audiences and let them experience your designs exactly as you envisioned them.

Complementing your story

The best architectural presentations will always have a story. Storytelling allows you to connect with your clients and show them how they can enjoy your designs to the fullest.

You’ll find selling your office building design easier if you show your clients the building in use, highlighting how they can build their brand in the space you’ve created. You’ll have more success convincing a client doing a family home remodel to work with you if you show them how your designs adapt to their lifestyle.

Architectural visualizations can easily complement your story and make it seem more realistic. You can add any visual element you need to move your clients and make them feel more at home in your designs.

Explaining design elements and architectural solutions

Architectural visualizations allow you to examine every nook and cranny of your designs, making them the perfect solution for answering any question your clients may have.

If a client is worried about the natural light in their building, you can render a whole neighborhood and show them exactly how much light they’d get during different times of the day. If they aren’t sure whether the furniture you want to include will fit in their available space, you can quickly test it out and show them a realistic representation. After all, architectural designs always use accurate proportions and measurements.

There’s no room for misunderstandings or confusion with a photorealistic architectural visualization. Your clients can see what they’re getting.

Creating an emotional reaction

Finally, architectural visualizations can help you get an emotional reaction from your clients. With virtual reality (VR) tours or augmented reality (AR) designs, you can help your audience see themselves in the space you’ve created. They can “walk-around” their new home before the construction process has even begun. They can take a tour of their new commercial property directly from your office chair.

You’ll bring your ideas to life and help your clients experience everything that your designs have to offer long before they’re completed in real life. Architectural visualizations are the perfect tool for creating an emotional response and establishing a strong relationship with every client.

Architectural visualization offers unique advantages to architects and designers alike. Using them in your presentations will help you make a strong impression on your audiences and showcase your talents in ways never before imaginable.

  • Design & deliver

Data visualization: A detailed guide to visualizing data in your presentation

description presentation or visualization

  • Last Updated : October 20, 2023
  • 15 Min Read

description presentation or visualization

"The greatest value of a picture is when it forces us to notice what we never expected to see."   - John W. Tukey, mathematician and statistician

Visualization helps decipher or break down information that is challenging to understand in text or numeric form. It's mostly used for data storytelling, as it is a great way to simplify information and present it in a format that is understandable, insightful, and actionable.

Whether you're a data analyst, a graphic designer, a content strategist or a social media manager, expertise in data visualization can help you solve a wide range of business challenges and tell impactful stories. In this blog post, we will look at a step-by-step approach to using data visualizations in your presentation.

What is data visualization?

Data visualization is the process of presenting data in a visual format, such as a chart, graph, or map. It helps users identify patterns and trends in a data set, making it easier to understand complex information. Visualizations can be used to analyze data, make predictions, and even communicate ideas more effectively.

Some examples of data visualizations include dashboards to track analytics, infographics for storytelling, or even word clouds to highlight the crux of your article or script.

Why do we have to visualize data?

In today's information-rich world, audiences are often bombarded with vast amounts of data and complex information. This is where data visualization comes into play—it transforms raw data into visually appealing and comprehensible formats, allowing audiences to grasp key insights and trends at a glance.

Consider the picture below:

description presentation or visualization

The option on the left is a table displaying two categories of data, whereas the option on the right is a graph representing sales growth. As you can see, the chart is more insightful, and makes it easier to identify trends in the numbers.

A good visualization typically represents some form of collected data as a picture, and can help with:

  • Faster decision-making
  • Identification of patterns and trends
  • Presentation of an argument or story

Why is data visualization important in presentations? 

Whether it's a business pitch, a campaign report, or a research presentation, data visualizations help you engage viewers on both rational and emotional levels.

They can be used to evoke empathy, urgency, or excitement, making the content more relatable and compelling. This is particularly crucial in decision-making contexts, where data-driven insights can sway opinions, drive actions, and guide strategic choices.

Ultimately, by incorporating data visualizations into presentations, you can benefit in the following ways:

  • Elevate communication and convey impactful, data-centric narratives.
  • Tell your story using visuals in a clear and meaningful way.
  • Foster a deeper understanding of your data to make a stronger impact on the audience.
  • Support idea generation and help derive business insights.
  • Simplify data and business processes.

Step-by-step approach to data visualizations in presentations:

There are several factors to consider before adding a data visualization to your presentation. Here's a detailed guide:

Step 1:   Define your purpose

The first step to visualizing data in your presentation is to determine your key message and decide on the type of story you are going to tell. Whether you plan to reveal trends, compare data, or explain a concept, a well-defined purpose will guide your data selection and visualization design, ensuring your visuals play a meaningful role in conveying your message.

Step 2: Understand your audience

Identify who your visualization is meant for and then make sure it fits their needs. Tailor your approach to suit your audience's familiarity with the topic and preferred level of detail. Knowing their expectations will help you fine-tune the complexity and depth of your visualizations, ensuring your presentation truly resonates with your audience.

Step 3: Choose your visualization type

Different data types and relationships call for different visualization formats. Selecting the appropriate chart, graph, or diagram is essential for accurately conveying your information. Here are some visualization types commonly used in presentations:

Tables:  These consist of rows and columns and are used to compare variables in a structured way. Tables display data as categorical objects and make comparative data analysis easier. Example use: Pricing vs. feature comparison table.

Bar charts: Also known as column charts, these chart types use vertical or horizontal bars to compare categorical data. They are mainly used for analyzing value trends. Example use: Measure employee growth within a year.

Pie charts: These graphs are divided into sections that represent parts of a whole. They are used to compare the size of each component and are usually used to determine a percentage of the whole. Example use: Display website visitors by country.

Area charts: These are similar to bar and line graphs and show the progress of values over a period. These are mostly used to showcase data with a time-series relationship, and can be used to gauge the degree of a change in values. Example use: Show sales of different products in a financial year.

Histograms:  Similar to bar charts (but with no space in between), histograms distribute numerical data. They are mainly used to plot the distribution of numbers and analyze the largest frequencies within a particular range. Example use: Measure app users by age.

Scatter charts: Also know as scatter plots, these graphs present the relationship between two variables. They are used to visualize large data sets, and show trends, clusters, patterns, and outliers. Example use: Track performance of different products in a suite.

Heat maps: These are a graphical way to visualize data in the form of hot and cold spots to identify user behavior. Example use: Present visitor behavior on your webpage.

Venn diagrams: These are best for showcasing similarities and differences between two or more categories. They are incredibly versatile and great for making comparisons, unions and intersections of different categories.

Timelines: These are best used for presenting chronological data. This is the most effective and efficient way to showcase events or time passage.

Flowcharts:  These types of charts are ideal for showcasing a process or a workflow.

Infographics: These are a visual representation of content or data in a graphic format to make it more understandable at a glance.

Bonus: In addition to the above mentioned visualization types, you can use Gantt charts, word clouds, and tree maps. Gantt charts are used in project management presentations to demonstrate the work completed in a given period. Word clouds are a graphical representation of word frequency that gives greater prominence to the words that appear most within content. Tree maps display hierarchical data as a set of nested shapes, typically in the shape of rectangles.

Step 4: Use an appropriate chart

Once you're familiar with the different chart types available, the next step is to select the one that best conveys your key message. Knowing when and how to use each chart type empowers you to represent your data accurately and enhances the persuasiveness of your presentation. The best chart type for your needs depends more on the kind of analysis you are targeting than the type of data you've collected. Let's take a look at some of the most-used data visualization approaches in presentations.

Display changes over time: One of the most common applications of data visualizations is to show changes that have occurred over time. Bar or line charts are helpful in these instances.

Illustrate a part-to-whole composition: There might be times when you need to analyze the different components of a whole composition. Use pie, doughnut, and stacked bar charts for these part-to-whole compositions.

Visualize data distribution: Another important use of data visualization is to show how data has been distributed. Scatter plots, bar charts, and histograms help identify the outliers and demonstrate the range of information in the values.

Explore variable relationships: When you want to understand the relationship between two variables, use scatter plots or bubble charts. These can help you depict relationships between two variables, and observe trends and patterns between them.

Compare values between groups: Another common application of data visualization is in comparing values between two distinct groups. Using a grouped bar or line chart makes it easy to understand and compare trends.

There are several types of charts available in Zoho Show, each offering their own advantages. Learn how you can add and edit these charts in Show .

Step 5:  Pick the right visualization tool 

Utilize visualization software or tools that align with your proficiency and presentation needs. Factors such as ease of use, customization options, and compatibility with your data source should influence your choice of tool, enabling you to create impactful visualizations efficiently.

Zoho Show's charts are customizable, easy to use and come with wide range of options to make your data visualization easier. Some of the other prominent data visualization tools include Zoho Analytics ,  Tableau , Power Bi , and Infogram . These tools support a variety of visual styles and are capable of handling a large volume of data.

Step 6: Follow design  best practices 

Applying design principles will help you make sure your visualization is both aesthetically pleasing and easy to understand. You may apply these principles by choosing appropriate font colors and styles, or by effectively labeling and annotating your charts. By adhering to design best practices, you can create polished visuals and amplify the impact of your data-driven narrative.

Keep it simple: Data overload can quickly lead to confusion, so it’s important to include only the important information and simplify complex data. As a rule of thumb, don't crowd your slides with too much data, and avoid distracting elements.

Choose colors wisely:  Use colors to differentiate and highlight information. The best practice is to use contrasting colors. You can also use patterns or texture to convey different types of information—but remember not to distort the data by applying 3D or gradient effects.

Add titles, labels, and annotations:  Be sure to add a title, label, and description to your chart so your audience knows what they are looking at. Remember to keep it clear and concise.

Use proper fonts and text sizes:  Use proper font styles and sizes to label and describe your charts. Your font choices may be playful, sophisticated, attention-grabbing, or elegant. Just be sure to choose a font that is easy to read and appropriate for your key message.

Closing thoughts 

Human brains are naturally attuned to processing visual patterns and imageryUsing visuals not only helps you simplify complex information, but also makes your information more memorable. By leveraging charts and graphs, presenters can convey information to their audiences in a highly comprehensible manner. This helps them offer key insights and contribute to the decision-making process.

Ultimately, by incorporating data visualizations into presentations, presenters can elevate their communication from mere data sharing to impactful storytelling, fostering a deeper understanding of information among their audiences.

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Visualizations That Really Work

  • Scott Berinato

description presentation or visualization

Not long ago, the ability to create smart data visualizations (or dataviz) was a nice-to-have skill for design- and data-minded managers. But now it’s a must-have skill for all managers, because it’s often the only way to make sense of the work they do. Decision making increasingly relies on data, which arrives with such overwhelming velocity, and in such volume, that some level of abstraction is crucial. Thanks to the internet and a growing number of affordable tools, visualization is accessible for everyone—but that convenience can lead to charts that are merely adequate or even ineffective.

By answering just two questions, Berinato writes, you can set yourself up to succeed: Is the information conceptual or data-driven? and Am I declaring something or exploring something? He leads readers through a simple process of identifying which of the four types of visualization they might use to achieve their goals most effectively: idea illustration, idea generation, visual discovery, or everyday dataviz.

This article is adapted from the author’s just-published book, Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations.

Know what message you’re trying to communicate before you get down in the weeds.

Idea in Brief

Knowledge workers need greater visual literacy than they used to, because so much data—and so many ideas—are now presented graphically. But few of us have been taught data-visualization skills.

Tools Are Fine…

Inexpensive tools allow anyone to perform simple tasks such as importing spreadsheet data into a bar chart. But that means it’s easy to create terrible charts. Visualization can be so much more: It’s an agile, powerful way to explore ideas and communicate information.

…But Strategy Is Key

Don’t jump straight to execution. Instead, first think about what you’re representing—ideas or data? Then consider your purpose: Do you want to inform, persuade, or explore? The answers will suggest what tools and resources you need.

Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill. For the most part, it benefited design- and data-minded managers who made a deliberate decision to invest in acquiring it. That’s changed. Now visual communication is a must-have skill for all managers, because more and more often, it’s the only way to make sense of the work they do.

  • Scott Berinato is a senior editor at Harvard Business Review and the author of Good Charts Workbook: Tips Tools, and Exercises for Making Better Data Visualizations and Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations .

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Partner Center

  • A Complete Guide on Product Presentations
  • Advanced Presentation Techniques

Using Data Visualization to Tell a Story

Aayush Jain

Aayush Jain

Choosing the right chart type for your data.

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Understanding the Importance of Chart Selection

Choosing the right chart type for your data is crucial for effective data visualization. The appropriate chart not only makes the data more comprehensible but also enhances the overall impact of your presentation. Different types of charts are suited for different kinds of data and objectives. For instance, bar charts are excellent for comparing quantities, while line charts are ideal for showing trends over time. Understanding how to present product features using the right chart can transform complex data into compelling visual stories.

Deep Dive into Chart Types

There are several types of charts, each serving a unique purpose. Bar charts and column charts are best for comparing categories of data, making them ideal for product comparison presentations. Line charts are used to display data over a continuous period, making them perfect for showing trends and changes. Pie charts and donut charts are useful for illustrating proportions and parts of a whole. Scatter plots and bubble charts are excellent for showing relationships between variables. Selecting the right chart type involves understanding the nature of your data and the message you want to convey. For product managers, choosing the right chart type can aid in communicating key benefits and product features effectively.

Real-World Examples of Effective Chart Use

An excellent example of effective chart use is seen in Google's annual reports template, which utilize a variety of chart types to present data on user growth, market share, and financial performance. Another example is the product comparison powerpoint templates used by companies like Microsoft to showcase the differences between their product offerings. These templates often feature bar charts and line charts to highlight key differences and benefits. Using the right charts helps in simplifying complex data and making it accessible to a broader audience. It also aids in emphasizing the most critical aspects of the data, ensuring that the audience grasps the key points quickly.

Research and References Supporting Chart Selection

Research from the Journal of Data Visualization highlights that the correct choice of chart type can improve data comprehension by up to 40%. A study by the Nielsen Norman Group found that audiences are more likely to retain information presented in a well-chosen chart compared to text-only presentations. Additionally, data from the International Journal of Human-Computer Interaction suggests that using appropriate chart types can significantly enhance user engagement and understanding. These findings underscore the importance of selecting the right chart type to create effective and impactful product presentations.

Simplifying Complex Data for Audience Understanding

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Making Complex Data Accessible

Simplifying complex data is essential for ensuring that your audience can understand and engage with your presentation. Complex data can be overwhelming and difficult to process, but by breaking it down and presenting it in a clear and concise manner, you can make it accessible to a broader audience. Simplifying data involves using straightforward visuals, clear language, and focusing on key points to effectively communicate your message. This approach is particularly important when you need to convey product features or compare different products.

Techniques for Simplifying Data

Several techniques can be employed to simplify complex data. One effective method is to use summary statistics and visuals like infographics that highlight the key benefits and insights without overwhelming the audience with raw data. Grouping related data points and using visual aids such as charts and graphs can help in illustrating trends and patterns clearly. Tools like presentation templates can assist in organizing information logically and coherently. For product comparison presentations, side-by-side comparisons using tables or simplified charts can help in highlighting differences and similarities succinctly.

Practical Applications and Examples

A practical example of simplifying complex data is seen in the annual reports of companies like IBM, where large datasets are distilled into key takeaways using visual aids and summary sections. Another example is the use of Google Slides by educational institutions to present research findings. These presentations often employ bullet points, charts, and infographics to simplify complex data and highlight the most important aspects. For product managers, using product comparison PowerPoint templates can help in creating clear and concise presentations that focus on the key benefits and features of different products, making it easier for potential customers to make informed decisions.

Research and References Supporting Data Simplification

Research from the Data Visualization Society indicates that simplifying complex data can enhance audience understanding and retention by up to 30%. A study by the Harvard Business Review found that presentations that simplify data effectively are more likely to engage and persuade audiences. Additionally, data from the Journal of Business Research highlights that using visual aids to simplify complex information can significantly improve the organization, clarity and impact of presentations. These findings underscore the importance of making complex data accessible to ensure effective communication and audience engagement.

Storytelling Through Timelines and Journey Maps

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The Power of Timelines and Journey Maps in Presentations

Timelines and journey maps are powerful tools for storytelling in product presentations. They help in visualizing the progression of events, milestones, or processes over time, making it easier for the audience to understand and engage with the narrative. By using timelines and journey maps, presenters can create a structured and compelling story that highlights the development, impact, and benefits of a product. This approach is particularly effective in illustrating the entire product development process and showcasing key milestones.

Understanding Timelines and Journey Maps

Timelines are linear visual representations of events in chronological order, commonly used to show the history or evolution of a product. Journey maps, on the other hand, focus on the customer experience, illustrating the steps a customer goes through when interacting with a product or service. Both tools are essential for breaking down complex information into a more digestible format, helping the audience follow the story and understand the key benefits. For product managers, using these tools can effectively communicate the product development process and the value it brings to potential customers.

Real-World Examples and Applications

An excellent example of using timelines is seen in Apple's product launch events. Apple often uses timelines to highlight the history and evolution of their products, demonstrating innovation and progress over time. Another example is journey maps used by companies like Airbnb to illustrate the customer experience from booking to check-out, highlighting key touchpoints and benefits. For product comparison presentations, timelines can be used to show the development stages of different products, while journey maps can illustrate how each product meets customer needs at various stages. These examples demonstrate the effectiveness of timelines and journey maps in creating engaging and informative presentations.

Research and References Supporting Storytelling Tools

Research from the company the Nielsen Norman Group indicates that using timelines and journey maps can increase audience engagement and understanding by up to 40%. A study by the Content Marketing Institute found that visual storytelling tools like timelines and journey maps are highly effective in conveying complex information and enhancing recall. Additionally, data from the Journal of Consumer Research highlights that customers are more likely to engage with and remember presentations that use structured storytelling methods. These findings underscore the importance of incorporating timelines and journey maps into product presentations to create a compelling narrative and enhance audience engagement.

Interactive Data Visualizations for Online Presentations

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Enhancing Engagement with Interactive Visualizations

Interactive data visualizations have become an essential tool for online presentations, offering a dynamic and engaging way to present complex information. Unlike static charts or graphs, interactive visualizations allow the audience to explore data in real-time, providing a more immersive experience. This interactivity can significantly enhance audience engagement, making the data more accessible and understandable. Utilizing interactive data visualizations can be particularly effective in product comparison presentations, where detailed data exploration is often required.

The Benefits of Interactive Visualizations

Interactive visualizations offer several key benefits. They enable users to drill down into specific data points, customize their views, and gain insights tailored to their interests. This level of interactivity helps in simplifying complex data and making it more relatable. Tools like Tableau, Power BI, and Google Data Studio offer robust features for creating interactive visualizations that can be embedded into online presentations. For product managers, these tools can help illustrate key benefits, product features, and comparative analyses effectively, providing a comprehensive view that static slides cannot achieve.

Practical Applications and Real-World Examples

A notable example of effective use of interactive data visualizations is the New York Times, which often uses interactive graphics in its online articles to help readers explore complex data sets. Another example is how companies like IBM use interactive dashboards in their product presentations to showcase performance metrics, trends, and forecasts. For product comparison PowerPoint templates, incorporating interactive elements like clickable charts and dynamic graphs can help potential customers engage with the data and make more informed decisions. These applications demonstrate how interactive visualizations can enhance the storytelling aspect of presentations and provide a richer experience for the audience.

Research and References Supporting Interactive Visualizations

Research from the International Journal of Human-Computer Interaction indicates that interactive data visualizations can increase audience engagement and comprehension by up to 60%. A study by the Data Visualization Society found that interactive elements in presentations significantly improve user satisfaction and data recall. Additionally, data from the Harvard Business Review highlights that companies using interactive data tools report higher levels of audience engagement and decision-making effectiveness. These findings emphasize the importance of integrating interactive data visualizations into online presentations to enhance engagement and provide deeper insights.

Incorporating Infographics for Summary Insights

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The Power of Infographics in Presentations

Infographics are an effective way to summarize and present data in a visually appealing and easily digestible format. They combine visuals, text, and data to tell a cohesive story, making complex information more accessible to the audience. In product presentations, infographics can be used to highlight key benefits, compare product features, and provide a quick overview of important data. By incorporating infographics, presenters can enhance their message and ensure that the audience retains the most critical insights.

Understanding the Role of Infographics

Infographics are designed to convey information quickly and clearly. They are particularly useful for presenting data that might be too detailed or cumbersome to explain verbally. Infographics can include various design elements such as charts, icons, and illustrations that help break down information into manageable chunks. For product managers, using infographics in presentations can simplify the explanation of product benefits, features, and comparisons, making it easier for potential customers to understand and engage with the content. Infographics can also be used to illustrate the entire product development process or to present a product comparison PowerPoint presentation template effectively.

A prime example of effective infographic use is seen in annual reports by companies like Salesforce, which use infographics to present sales data, market trends, and key performance indicators in a concise and visually appealing manner. Another example is HubSpot’s marketing materials, which frequently incorporate infographics to explain marketing strategies, customer journey maps, and product benefits. For product comparison presentations, infographics can be used to provide a side-by-side comparison of different products, highlighting the key features and benefits in an easy-to-read format. These applications show how infographics can enhance the clarity and impact of presentations.

Research and References Supporting Infographic Use

Research from the Nielsen Norman Group indicates that infographics can improve comprehension and retention by up to 80%. A study by the Visual Communication Journal found that presentations incorporating infographics are more likely to engage the audience and convey complex information effectively. Additionally, data from the Content Marketing Institute highlights that infographics are among the most shared and liked content on social media, emphasizing their effectiveness in communication. These findings underscore the importance and success of incorporating infographics into product presentations to enhance understanding and engagement.

Using Animation to Highlight Key Data Points

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Enhancing Presentations with Animation

Animation can be a powerful tool in product presentations, helping to highlight key data points and draw attention to important information. When used effectively, animation can make data more engaging and easier to access and understand, guiding the audience through the narrative of your presentation. By animating elements such as graphs, charts, and infographics, presenters can create a dynamic experience that keeps the audience’s attention and emphasizes critical insights.

The Role of Animation in Data Visualization

Animation in data visualization involves the use of movement to illustrate changes in data over time or to draw focus to specific elements. This can include transitions between slides, animated charts that update in real-time, or highlighting parts of a graph to emphasize trends or comparisons. For product managers, using animation in product comparison presentations can effectively showcase differences in product features and benefits, making complex data more accessible. Tools like PowerPoint, Google Slides, and specialized software like After Effects can be used to create these animations.

A notable example of using animation to deliver more effectively is seen in TED Talks presentations, where speakers often use animated graphics to illustrate key points and make their data more engaging. Another example is in corporate presentations by companies like Apple, which use smooth transitions and animated elements to highlight new product features and updates. In product comparison PowerPoint templates, animation can be used to compare products side-by-side dynamically, showing real-time changes and updates. These examples demonstrate how animation can enhance the storytelling aspect of presentations and make complex data more digestible.

Research and References Supporting Animation Use

Research from the Journal of Educational Psychology indicates that animated graphics can improve understanding and retention of information by up to 30%. A study by the Association for Computing Machinery found that presentations with animated data visualizations are more engaging and effective in communicating complex information. Additionally, data from the International Journal of Human-Computer Interaction highlights that animation can significantly enhance user experience and focus on product details. These findings underscore the importance of incorporating animation into product presentations to highlight key data points and maintain audience engagement.

Best Practices for Data Comparisons and Benchmarks

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Effective Data Comparison Techniques

Data comparisons and benchmarks are essential for providing context and evaluating performance in product presentations. Effective comparison techniques help to highlight differences, similarities, and trends, making the data more meaningful and actionable for the audience. By following best practices for data comparisons, presenters can ensure their audience understands the key takeaways and the implications of the data. This is particularly important in product comparison presentations, where clear and accurate comparisons can influence decision-making.

Principles of Effective Data Comparisons

To effectively compare data, it is important to use consistent scales and units, clear labeling, and appropriate chart types. Consistent scales ensure that comparisons are accurate and easy to understand. Clear labeling helps to avoid confusion and ensures that the audience knows what each data point represents. Choosing the right chart type, such as bar charts for categorical comparisons or line charts for trends over time, is crucial for presenting data effectively. Product managers can use these principles to create compelling product benefits presentations that highlight the advantages of their products over competitors.

A practical example of effective data comparison is seen in Gartner’s Magic Quadrant reports, which use a standardized grid to compare technology providers based on their ability to execute and completeness of vision. Another example is the use of comparison tables in consumer electronics reviews, where features, specifications, and prices of different products are compared side-by-side. For product comparison PowerPoint templates, using similar techniques can help in presenting product features and benefits clearly, making it easier for potential customers to evaluate their options. These examples demonstrate how following best practices in data comparison can enhance the clarity and impact of presentations.

Research and References Supporting Best Practices

Research from the Data Visualization Society indicates that following best practices in data comparison can improve audience comprehension and retention by up to 25%. A study by the Harvard Business Review found that clear and accurate data comparisons are critical for effective decision-making in business contexts. Additionally, data from the International Journal of Business Communication highlights the idea that well-executed benchmarks and comparisons can significantly enhance the persuasiveness of presentations. These findings underscore the importance of adhering to best practices for data comparisons and benchmarks to create impactful and informative product presentations.

Techniques for Live Data Presentation and Updates

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The Importance of Live Data in Presentations

Presenting live data can significantly enhance the relevance and impact of a product presentation. Live data presentations involve displaying data that is updated in real-time, providing the audience with the most current information available. This technique is particularly useful for showcasing ongoing trends, performance metrics, and other time-sensitive information. By incorporating live data, presenters can demonstrate transparency and provide a dynamic and engaging experience for their audience.

Methods for Incorporating Live Data

There are several methods to incorporate live data into presentations. Using tools like Google Sheets or Microsoft Excel with live data feeds, presenters can embed dynamic charts and graphs into their slides. Platforms like Tableau and Power BI offer advanced capabilities for real-time data visualization and integration with various data sources. These tools allow product managers to display up-to-date metrics, customer feedback, and sales figures during their presentations. Additionally, leveraging APIs can enable the integration of live data from external sources, such as social media feeds or financial markets, into your presentation.

A notable example of live data presentation is seen in financial news networks like Bloomberg and CNBC, where live stock market data is continuously updated on screen. Another example is in corporate board meetings, where companies like Amazon use live dashboards to present key performance indicators (KPIs) and operational metrics in real-time. For product comparison presentations, using live data can help demonstrate the current performance and customer feedback of various products, providing a compelling and up-to-date comparison. These examples illustrate how live data can add value and immediacy to presentations, making them more engaging and informative.

Research and References Supporting Live Data Use

Research from the International Journal of Information Management indicates that live data presentations can improve audience engagement and decision-making by up to 35%. A study by the Data Visualization Society found that real-time data visualizations are perceived as more credible and impactful. Additionally, data from the Journal of Business Research highlights that incorporating live data into presentations can significantly enhance the perceived transparency and reliability of the information presented. These findings emphasize the importance of using live data to create dynamic and impactful product presentations.

Visualizing Qualitative Data

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The Challenge of Visualizing Qualitative Data

Visualizing qualitative data presents unique challenges compared to quantitative data, as it involves non-numeric information such as opinions, experiences, and narratives. However, effectively visualizing qualitative data is essential for providing context and insights in product presentations. By using appropriate visualization techniques, presenters can make qualitative data more accessible and engaging, helping the audience understand the underlying themes and patterns. This approach is particularly useful for showcasing customer feedback, market research findings, and user experiences.

Techniques for Visualizing Qualitative Data

Several techniques can be used to visualize qualitative data. Word clouds are a popular method for displaying the frequency of words in a body of text, highlighting the most common themes. Heat maps can show the intensity of responses across different categories, while affinity diagrams can organize and cluster qualitative data into meaningful groups. Additionally, narrative visualizations, such as storyboards or journey maps, can illustrate customer experiences or product development processes. These techniques help in transforming qualitative data into visual formats that are easier to interpret and present.

An example of effective qualitative data visualization is seen in customer feedback reports by companies like Amazon, which use word clouds and sentiment analysis to highlight common themes and customer sentiments. Another example is the use of journey maps by UX design firms to illustrate user experiences and interactions with delivering a product. For product comparison presentations, using qualitative data visualization techniques can help showcase customer testimonials, market research insights, and user experiences, providing a comprehensive view of the product’s impact. These examples demonstrate how qualitative data visualization can enhance the storytelling aspect of presentations.

Research and References Supporting Qualitative Visualization

Research from the Journal of Qualitative Research highlights that visualizing qualitative data can improve understanding and retention by up to 40%. A study by the Nielsen Norman Group found that qualitative data visualizations are more effective in conveying complex ideas, narratives and experiences. Additionally, data from the Content Marketing Institute indicates that presentations incorporating qualitative visualizations are perceived as more engaging and informative. These findings underscore the importance of using visualization techniques to effectively present qualitative data and enhance audience engagement in product presentations.

Tools and Software for Advanced Data Visualization

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Leveraging Advanced Tools for Data Visualization

Utilizing advanced tools and software for data visualization can greatly enhance the quality and effectiveness of product presentations. These tools offer sophisticated features that enable users to create interactive, dynamic, and visually appealing visualizations. By leveraging these advanced tools, presenters can better convey complex data, highlight key insights, and engage their audience more effectively. Understanding the capabilities of these tools and how to use them can transform the way data is presented.

Overview of Advanced Visualization Tools

Several advanced data visualization tools stand out for their capabilities and ease of use. Tableau is renowned for its interactive dashboards and ability to connect to multiple data sources. Power BI by Microsoft offers robust data integration and real-time analytics features, making it ideal for business presentations. Google Data Studio provides an accessible platform for creating interactive reports and visualizations, integrating seamlessly with other Google services. For those requiring more customization, D3.js is a powerful JavaScript library solution that allows for the creation of complex, custom visualizations. These tools enable product managers to present product features, comparisons, and benefits in a compelling and understandable manner.

A practical example of using advanced visualization tools is seen in financial services companies like Goldman Sachs, which use Tableau to create interactive financial dashboards that help clients understand market trends and investment opportunities. Another example is how marketing teams at companies like Unilever use Power BI to analyze and present consumer data, showcasing key insights and trends. For product comparison presentations, tools like Google Data Studio can be used to create dynamic reports that update in real-time, providing the most current data to potential customers. These applications demonstrate the effectiveness of advanced tools in creating impactful data visualizations.

Research and References Supporting Advanced Tool Use

Research from the Data Visualization Society indicates that using advanced visualization tools can improve data comprehension and decision-making by up to 50%. A study by the Business Application Research Center (BARC) found that companies using advanced data visualization tools reported higher levels of data-driven decision-making and business performance. Additionally, data from Gartner highlights that organizations leveraging tools like Tableau and Power BI see significant improvements in their ability to communicate complex data effectively. These findings underscore the importance of utilizing advanced tools and software for data visualization to enhance the impact of product presentations.

Frequently Asked Questions

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1. How to present a product feature?

To present a product feature effectively, start by clearly explaining what the feature is and how it works. Use visuals such as diagrams or screenshots to illustrate the feature. Highlight the benefits of the feature, focusing on how it solves a problem or enhances the user experience. Finally, provide real-world examples or customer testimonials to demonstrate the feature's value in action.

2. How to represent features of a product?

Representing features of a product involves using a combination of text, visuals, and demonstrations. Create detailed descriptions for each feature, supplemented with high-quality images or videos showing the feature in use. Use comparison tables or charts to highlight how these features stand out against competitors. Incorporate infographics to summarize key benefits and provide a clear, visual representation of the product’s capabilities.

3. How do you present the features and benefits of a product?

To present the features and benefits of a product, start with a brief overview of the product and its purpose. List the key features and describe each one in detail, emphasizing how they function. Follow this with a discussion of the benefits, explaining how each feature contributes to solving a problem or improving the user experience. Use customer testimonials, case studies, and real-world examples to reinforce the benefits.

4. How do you introduce a new product feature?

Introducing a new product feature involves a clear and engaging presentation. Begin by explaining the context or problem that the new feature addresses. Provide a detailed description of the feature and how it works, using visuals and demonstrations. Highlight the key benefits and impact of the feature on the user experience. Finally, showcase any early feedback or testimonials from users who have tested the feature.

5. What is an example of a product benefit?

An example of a product benefit could be increased efficiency. For instance, a software product might automate repetitive tasks, saving users time and effort and reducing the potential for errors. This benefit can be highlighted by showing how the product streamlines workflows and allows users to focus on more critical tasks, ultimately enhancing productivity.

6. What should be included in a product presentation?

A product presentation and marketing team should include the following elements:

  • Introduction: Overview of the product and its purpose.
  • Problem Statement: The issue the product solves.
  • Features and Benefits: Detailed explanation of the product’s features and their advantages.
  • Demonstration: Visual or live demo of the product in action.
  • Testimonials: Customer feedback or case studies.
  • Call to Action: Clear next steps for the audience, such as purchasing the product or requesting a demo.

7. What is the benefit slide of a product?

The benefit slide of a product presentation highlights the key advantages of the product. It summarizes how the product improves the user’s life or business operations, focusing on the tangible outcomes such as time savings, cost reduction, increased productivity, or enhanced user experience. This slide should be visually appealing and clearly communicate the primary benefits.

8. How to identify product benefits?

Identifying product benefits involves understanding the needs and pain points of your target audience. Conduct market research and gather customer feedback to identify common challenges and desired outcomes. Analyze how your product’s features address these needs and translate these features into specific, tangible benefits. Highlight how the product improves efficiency, saves time, reduces costs, or enhances the user experience.

9. How do you make a successful product presentation?

To make a successful product presentation:

  • Know Your Audience: Tailor the presentation to the interests and needs of your audience.
  • Clear Structure: Organize the content logically with a clear introduction, body, and conclusion.
  • Engaging Visuals: Use high-quality images, videos, and infographics to illustrate key points.
  • Interactive Elements: Incorporate demos, Q&A sessions, and interactive visualizations to engage the audience.
  • Practice: Rehearse the presentation multiple times to ensure smooth delivery and build confidence.

10. What are the 5 rules needed for presenting a presentation?

The five rules for presenting a presentation are:

  • Clarity: Ensure your message is clear and easily understood.
  • Engagement: Use visuals, stories, and examples to keep the audience engaged.
  • Simplicity: Avoid clutter and keep slides simple, focusing on key points.
  • Relevance: Tailor your content to the interests and needs of your audience.
  • Practice: Rehearse your presentation multiple times to ensure smooth delivery and build confidence.

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Tamsen Webster

Empowering Keynote Speaker and Presentation Strategist

How to Write Descriptions for Your Talks and Presentations – EP:098

Now that you have a great title , how do you write descriptions for your talk or presentation? Again, it’s about framing the ideas for the organizer to say yes, which means using the Red Thread. If we write descriptions so the organizer gets all their questions answered, it’ll answer their attendees’ questions, too.

To do this well, you need the Goal, Problem, Truth, Change, and Action of the talk or presentation, which you can plug into my framework. That doesn’t mean you need to have built the presentation, just the pieces.

Open with the Goal, then allude to the Problem or Truth. Next, match the outcomes they can expect from the talk with your authority to speak about those outcomes. Finally, put together some actionable takeaways based on what they’ll be able to do after your talk. We look at some examples to highlight the ins and outs of making each step work.

  • How to Write a Conference Speaking or Session Proposal That Gets Chosen Every Time
  • Tamsen’s Talks
  • Can Your Message Survive an Edit? – EP:002


– Okay, well, you’ve found The Red Thread for your talk. You’ve found an awesome title that combines something people want via an unexpected or ownable means to get there. Maybe you’ve adjusted it for a TEDx. How do you actually talk about this talk?

That’s what we’re talking about this week on Find The Red Thread. We’re going to talk about how to craft great descriptions that people also say yes to. I’m your host, Tamsen Webster of Please like and subscribe.

I have some bad news and I have some good news. So, the bad news is we’re dealing with the same Problem and Truth as we’ve been talking about titling our talks, TEDx or otherwise. We need to make sure that we’re framing our ideas in a format the organizer understands. Because the organizer is the one making decisions. The good news is we already know what that is.

We already know what the structure of information needs to be for someone to say yes to our talk. It’s the same structure of information that anybody needs to say yes to a new idea. And that structure is the Red Thread.

We need to give people answers to fundamental questions they have about an idea before they can say yes to it. When it comes to an organizer and the description we also need to make sure it’s written in such a way that’s perfect for the organizer to pop into their conference program. We want to keep it, ideally, as close to how we’ve written it as possible. And if we’ve done a good job the organizer’s likely to do that. Because if the organizer gets all their questions answered they know it’s probably going to answer all the questions of their attendees, too. And when their attendees say yes to a presentation then the organizer goes, “Yes, I’ve done my job.”

Alright, so, how do we do that? Well, a first step is to pull together the pieces of your idea’s Red Thread. So, you’re going to need the Goal, the Problem, the Truth, the Change and the Action of the presentation that you’re about to describe. The good news is that you don’t have to have built the whole presentation. You just need those pieces.

And once you have those pieces, you’ll have a description that definitely, you’ll be able to build a presentation off later. And not go back and say, “Why the heck did I say the presentation was going to be about that?” Not like I had ever done that before I discovered this process for myself but maybe you have. Okay, I totally did that. But since I started using this process I’ve been able to nail the conference description at a proposal or the talk description every time.

Here’s how it goes, it’s a simple framework that you’re just going to fill in the pieces of your Red Thread. Here’s how it goes: first, you’re going to open with the Goal. Open the description with the Goal. Second, you’re going to allude to the Problem or the Idea. You’re probably not going to tell them exactly what it is. But you probably, by the way, have told them something about it in the title. But you’re going to allude to it here in the next part.

In the third part, you’re going to match the outcomes they can expect from the talk with your authority to speak about those outcomes. And then, finally, you’re going to put together some actionable takeaways built on the pieces of the talk that you have already planned out.

Now, what does that actually look like? So, I’m going to use a talk description that I built for a webinar that I did recently for MarketingProfs PRO. Their PRO seminar on how to build presentations. And I really wanted to focus on how do you design a presentation from the ground up. Not so much on the slides but really how do you figure out what the idea is and how do you structure it? So, it was called, to evoke our titling descriptions from before, “Substance, Structure, Style: How to Build Presentations People Say Yes to.”

So, “Substance, Structure, Style” was indicating what the unexpected or unfamiliar approach might be. And then after the colon was, “How to Build Presentations People Say Yes to.” Now, I subsequently discovered that “Substance, Structure, Style” is what grand storyteller, expert Robert McKee uses. Had no idea at the time. So, in future versions, I would probably just call this the second part, “How to Build Presentations People Say Yes to.” Or I could use “The Red Thread” before the colon.

But since we’re talking about descriptions today let’s talk about this description. Now, remember the first thing I said is we’re going to open with the Goal. And in this case, I need to set it up a little bit. So, here’s how I did that. I said, “Each time we present, no matter how formally, we’re asking our audience to say yes to a change in thinking or behavior.”

That’s putting out a statement that most people will say yes to. Then, I’m starting to get more specific about what question this talk will answer. I say, “Too often though, we get a whole lot of no. Why?”

So, obviously, since I have in the title “How to Build Presentations People Say Yes to” that is the Goal. So, I’m just reframing it slightly differently in how I open this description. I’m saying, “We need people to say yes. We get a lot of no. Why do we get no?”

Here’s where I (second part) allude to the Problem or the Idea. I say, “Because we push for the yes rather than create the conditions for it.” Now, I am actually telling them the answer. I’m telling them what the Problem of my talk is.

But not in such a way that they go, “Oh I get it now. I don’t need to listen.” It’s enough information that they say, “Oh, that makes sense but I need to know what these conditions are. Why can’t we push for the yes?”

All these other questions come into play. But those are good questions. Those are good questions that say I want to know more. Not, what the heck is this about?

Now, the third piece, as I said, is to match outcomes with authority. I put the authority piece first. So, I said, “Join recovering 20-year Brand Marketer and former TEDx Executive Producer Tamsen Webster.” So, I’m picking pieces from my background that I think are relevant to this particular talk.

If you look at my talk descriptions at you’ll see I treat this piece a little differently depending on what the topic of the talk is. Oftentimes, I’m going to be talking about message strategy or brand strategy in TEDx. But it depends on the talk. So, you pick the authority that you have and then match it to the outcomes of the talk.

So, this is going to be a little bit more specific now about the Goal. But also what are the Change and the Actions that you’ve planned out when you’re doing the work of your Red Thread?

“So,” I said, “join me as she explains how to build the substance, structure, and style of your presentations that make it easy for your audience to say yes.” I’m telling you this talk is going to give you how to build the substance and the structure and the style of your presentations so we get the outcome we’re looking for.

You’ll see also that I looped back to the Goal at the beginning. That’s a way to reinforce to people that when you listen to this talk, you’ll get what the title promised.

Now, sometimes you need to include actionable takeaways. And a lot of times, in fact for most of the time I put these takeaways together, I really focused on what people would learn. And I wanted to do that in a way that was a little bit marketing-y. It was a way that would get people to say, “Well, what are the five ways to do this?” Or, “What are the three things that most people miss?”

But I’ve recently started to be much more specific about that and frame it in this way. By the end of this talk or the seminar or this webinar you’ll be able to or the audience will be able to. And so, I’m framing some of those five key concepts from a truly actionable standpoint. In this case, I said, “Identify the five key concepts every presentation needs. And know how to find them in your own.”

So, instead of just saying, “you’ll learn the five key concepts every presentation needs.” I’m saying, “you’ll be able to identify the five key concepts and know how to find them in your own presentation.”

Meeting organizers love this. I had a meeting organizer approach me with a talk that they wanted me to give based on just that kind of phrasing. They said, “That’s one of the reasons we wanted to hire you. Because we understood that you had a focus on actual applicability of this information.”

So, I have two more here. The second one was, “Organize your content so it feels like a story even if it isn’t one.” So, you’ll be able to organize your content so it feels like a story even if it isn’t one. Yes, it tells people you’re going to be able to organize your content but adds a little bit more flavor into what they’re going to get.

Now they know there’s going to be some elements of story and story structure. And appeal to those people who really want to be better storytellers. ‘Cause why do they want to do this? I say, “even if it isn’t one” and it keeps your audience hanging on every word.

Because we don’t just want to organize our information. We want to organize it in such a way that people are interested in it, that they’re excited about it. They keep listening to it.

So, the third piece here was, “Choose the illustrations and information that make your presentation and you come to life.” Being specific here about what are the things that they’re going to walk away with and be able to do. So, be able to choose the illustrations and information that make your presentation and you come to life.

When you have all those pieces, which, again, you don’t have to write the talk first. All you need is the pieces of your Red Thread first. You’ve got everything you need to put together a super powerful description.

Now, if you want to see this written up, I wrote something on LinkedIn called, “How to Write a Conference Session Proposal That Gets a Yes Every Time or Gets Accepted Every Time.” You can search for that and find it. But you can also pay attention to how other people do this well.

Now, I’ve got more examples in my own speaking topics at But when you follow this format, I think you’ll find that it makes the writing the descriptions easier. But it also makes it much, much easier for the organizers to say yes.

So, just remember this, you open with the Goal. You allude to the Problem and/or the Idea. You match outcomes with your authority. And you give them actionable takeaways based on what they’ll be able to do after your talk.

That’s this weeks episode on how to write the descriptions for your talks so you can get that green light for them. If you want more information on how to build that you can find much of that same content in my “Building Blocks For Better Talks” presentation I did. And you can find that at I hope you enjoyed this week’s episode. If you did, please do me one more favor and like, subscribe or share it. Thanks so much and I’ll see you next time.

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What Is Data Visualization: Brief Theory, Useful Tips and Awesome Examples

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By Al Boicheva

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What Is Data Visualization Brief Theory, Useful Tips and Awesome Examples

Updated: June 23, 2022

To create data visualization in order to present your data is no longer just a nice to have skill. Now, the skill to effectively sort and communicate your data through charts is a must-have for any business in any field that deals with data. Data visualization helps businesses quickly make sense of complex data and start making decisions based on that data. This is why today we’ll talk about what is data visualization. We’ll discuss how and why does it work, what type of charts to choose in what cases, how to create effective charts, and, of course, end with beautiful examples.

So let’s jump right in. As usual, don’t hesitate to fast-travel to a particular section of your interest.

Article overview: 1. What Does Data Visualization Mean? 2. How Does it Work? 3. When to Use it? 4. Why Use it? 5. Types of Data Visualization 6. Data Visualization VS Infographics: 5 Main Differences 7. How to Create Effective Data Visualization?: 5 Useful Tips 8. Examples of Data Visualization

1. What is Data Visualization?

Data Visualization is a graphic representation of data that aims to communicate numerous heavy data in an efficient way that is easier to grasp and understand . In a way, data visualization is the mapping between the original data and graphic elements that determine how the attributes of these elements vary. The visualization is usually made by the use of charts, lines, or points, bars, and maps.

  • Data Viz is a branch of Descriptive statistics but it requires both design, computer, and statistical skills.
  • Aesthetics and functionality go hand in hand to communicate complex statistics in an intuitive way.
  • Data Viz tools and technologies are essential for making data-driven decisions.
  • It’s a fine balance between form and functionality.
  • Every STEM field benefits from understanding data.

2. How Does it Work?

If we can see it, our brains can internalize and reflect on it. This is why it’s much easier and more effective to make sense of a chart and see trends than to read a massive document that would take a lot of time and focus to rationalize. We wouldn’t want to repeat the cliche that humans are visual creatures, but it’s a fact that visualization is much more effective and comprehensive.

In a way, we can say that data Viz is a form of storytelling with the purpose to help us make decisions based on data. Such data might include:

  • Tracking sales
  • Identifying trends
  • Identifying changes
  • Monitoring goals
  • Monitoring results
  • Combining data

3. When to Use it?

Data visualization is useful for companies that deal with lots of data on a daily basis. It’s essential to have your data and trends instantly visible. Better than scrolling through colossal spreadsheets. When the trends stand out instantly this also helps your clients or viewers to understand them instead of getting lost in the clutter of numbers.

With that being said, Data Viz is suitable for:

  • Annual reports
  • Presentations
  • Social media micronarratives
  • Informational brochures
  • Trend-trafficking
  • Candlestick chart for financial analysis
  • Determining routes

Common cases when data visualization sees use are in sales, marketing, healthcare, science, finances, politics, and logistics.

4. Why Use it?

Short answer: decision making. Data Visualization comes with the undeniable benefits of quickly recognizing patterns and interpret data. More specifically, it is an invaluable tool to determine the following cases.

  • Identifying correlations between the relationship of variables.
  • Getting market insights about audience behavior.
  • Determining value vs risk metrics.
  • Monitoring trends over time.
  • Examining rates and potential through frequency.
  • Ability to react to changes.

5. Types of Data Visualization

As you probably already guessed, Data Viz is much more than simple pie charts and graphs styled in a visually appealing way. The methods that this branch uses to visualize statistics include a series of effective types.

Map visualization is a great method to analyze and display geographically related information and present it accurately via maps. This intuitive way aims to distribute data by region. Since maps can be 2D or 3D, static or dynamic, there are numerous combinations one can use in order to create a Data Viz map.

COVID-19 Spending Data Visualization POGO by George Railean

The most common ones, however, are:

  • Regional Maps: Classic maps that display countries, cities, or districts. They often represent data in different colors for different characteristics in each region.
  • Line Maps: They usually contain space and time and are ideal for routing, especially for driving or taxi routes in the area due to their analysis of specific scenes.
  • Point Maps: These maps distribute data of geographic information. They are ideal for businesses to pinpoint the exact locations of their buildings in a region.
  • Heat Maps: They indicate the weight of a geographical area based on a specific property. For example, a heat map may distribute the saturation of infected people by area.

Charts present data in the form of graphs, diagrams, and tables. They are often confused with graphs since graphs are indeed a subcategory of charts. However, there is a small difference: graphs show the mathematical relationship between groups of data and is only one of the chart methods to represent data.

Gluten in America - chart data visualization

Infographic Data Visualization by Madeline VanRemmen

With that out of the way, let’s talk about the most basic types of charts in data visualization.

Finance Statistics - Bar Graph visualization

They use a series of bars that illustrate data development.  They are ideal for lighter data and follow trends of no more than three variables or else, the bars become cluttered and hard to comprehend. Ideal for year-on-year comparisons and monthly breakdowns.

Pie chart visualization type

These familiar circular graphs divide data into portions. The bigger the slice, the bigger the portion. They are ideal for depicting sections of a whole and their sum must always be 100%. Avoid pie charts when you need to show data development over time or lack a value for any of the portions. Doughnut charts have the same use as pie charts.

Line graph - common visualization type

They use a line or more than one lines that show development over time. It allows tracking multiple variables at the same time. A great example is tracking product sales by a brand over the years. Area charts have the same use as line charts.

Scatter Plot

Scatter Plot - data visualization idea

These charts allow you to see patterns through data visualization. They have an x-axis and a y-axis for two different values. For example, if your x-axis contains information about car prices while the y-axis is about salaries, the positive or negative relationship will tell you about what a person’s car tells about their salary.

Unlike the charts we just discussed, tables show data in almost a raw format. They are ideal when your data is hard to present visually and aim to show specific numerical data that one is supposed to read rather than visualize.

Creative data table visualization

Data Visualisation | To bee or not to bee by Aishwarya Anand Singh

For example, charts are perfect to display data about a particular illness over a time period in a particular area, but a table comes to better use when you also need to understand specifics such as causes, outcomes, relapses, a period of treatment, and so on.

6. Data Visualization VS Infographics

5 main differences.

They are not that different as both visually represent data. It is often you search for infographics and find images titled Data Visualization and the other way around. In many cases, however, these titles aren’t misleading. Why is that?

  • Data visualization is made of just one element. It could be a map, a chart, or a table. Infographics , on the other hand, often include multiple Data Viz elements.
  • Unlike data visualizations that can be simple or extremely complex and heavy, infographics are simple and target wider audiences. The latter is usually comprehensible even to people outside of the field of research the infographic represents.
  • Interestingly enough, data Viz doesn’t offer narratives and conclusions, it’s a tool and basis for reaching those. While infographics, in most cases offer a story and a narrative. For example, a data visualization map may have the title “Air pollution saturation by region”, while an infographic with the same data would go “Areas A and B are the most polluted in Country C”.
  • Data visualizations can be made in Excel or use other tools that automatically generate the design unless they are set for presentation or publishing. The aesthetics of infographics , however, are of great importance and the designs must be appealing to wider audiences.
  • In terms of interaction, data visualizations often offer interactive charts, especially in an online form. Infographics, on the other hand, rarely have interaction and are usually static images.

While on topic, you could also be interested to check out these 50 engaging infographic examples that make complex data look great.

7. Tips to Create Effective Data Visualization

The process is naturally similar to creating Infographics and it revolves around understanding your data and audience. To be more precise, these are the main steps and best practices when it comes to preparing an effective visualization of data for your viewers to instantly understand.

1. Do Your Homework

Preparation is half the work already done. Before you even start visualizing data, you have to be sure you understand that data to the last detail.

Knowing your audience is undeniable another important part of the homework, as different audiences process information differently. Who are the people you’re visualizing data for? How do they process visual data? Is it enough to hand them a single pie chart or you’ll need a more in-depth visual report?

The third part of preparing is to determine exactly what you want to communicate to the audience. What kind of information you’re visualizing and does it reflect your goal?

And last, think about how much data you’ll be working with and take it into account.

2. Choose the Right Type of Chart

In a previous section, we listed the basic chart types that find use in data visualization. To determine best which one suits your work, there are a few things to consider.

  • How many variables will you have in a chart?
  • How many items will you place for each of your variables?
  • What will be the relation between the values (time period, comparison, distributions, etc.)

With that being said, a pie chart would be ideal if you need to present what portions of a whole takes each item. For example, you can use it to showcase what percent of the market share takes a particular product. Pie charts, however, are unsuitable for distributions, comparisons, and following trends through time periods. Bar graphs, scatter plots,s and line graphs are much more effective in those cases.

Another example is how to use time in your charts. It’s way more accurate to use a horizontal axis because time should run left to right. It’s way more visually intuitive.

3. Sort your Data

Start with removing every piece of data that does not add value and is basically excess for the chart. Sometimes, you have to work with a huge amount of data which will inevitably make your chart pretty complex and hard to read. Don’t hesitate to split your information into two or more charts. If that won’t work for you, you could use highlights or change the entire type of chart with something that would fit better.

Tip: When you use bar charts and columns for comparison, sort the information in an ascending or a descending way by value instead of alphabetical order.

4. Use Colors to Your Advantage

In every form of visualization, colors are your best friend and the most powerful tool. They create contrasts, accents, and emphasis and lead the eye intuitively. Even here, color theory is important.

When you design your chart, make sure you don’t use more than 5 or 6 colors. Anything more than that will make your graph overwhelming and hard to read for your viewers. However, color intensity is a different thing that you can use to your advantage. For example, when you compare the same concept in different periods of time, you could sort your data from the lightest shade of your chosen color to its darker one. It creates a strong visual progression, proper to your timeline.

Things to consider when you choose colors:

  • Different colors for different categories.
  • A consistent color palette for all charts in a series that you will later compare.
  • It’s appropriate to use color blind-friendly palettes.

5. Get Inspired

Always put your inspiration to work when you want to be at the top of your game. Look through examples, infographics, and other people’s work and see what works best for each type of data you need to implement.

This Twitter account Data Visualization Society is a great way to start. In the meantime, we’ll also handpick some amazing examples that will get you in the mood to start creating the visuals for your data.

8. Examples for Data Visualization

As another art form, Data Viz is a fertile ground for some amazing well-designed graphs that prove that data is beautiful. Now let’s check out some.

Dark Souls III Experience Data

We start with Meng Hsiao Wei’s personal project presenting his experience with playing Dark Souls 3. It’s a perfect example that infographics and data visualization are tools for personal designs as well. The research is pretty massive yet very professionally sorted into different types of charts for the different concepts. All data visualizations are made with the same color palette and look great in infographics.

Data of My Dark Souls 3 example

My dark souls 3 playing data by Meng Hsiao Wei

Greatest Movies of all Time

Katie Silver has compiled a list of the 100 greatest movies of all time based on critics and crowd reviews. The visualization shows key data points for every movie such as year of release, oscar nominations and wins, budget, gross, IMDB score, genre, filming location, setting of the film, and production studio. All movies are ordered by the release date.

Greatest Movies visualization chart

100 Greatest Movies Data Visualization by Katie Silver

The Most Violent Cities

Federica Fragapane shows data for the 50 most violent cities in the world in 2017. The items are arranged on a vertical axis based on population and ordered along the horizontal axis according to the homicide rate.

The Most Violent Cities example

The Most Violent Cities by Federica Fragapane

Family Businesses as Data

These data visualizations and illustrations were made by Valerio Pellegrini for Perspectives Magazine. They show a pie chart with sector breakdown as well as a scatter plot for contribution for employment.

Family Businesses as Data Visual

PERSPECTIVES MAGAZINE – Family Businesses by Valerio Pellegrini

Orbit Map of the Solar System

The map shows data on the orbits of more than 18000 asteroids in the solar system. Each asteroid is shown at its position on New Years’ Eve 1999, colored by type of asteroid.

Orbit Map of the Solar System graphic

An Orbit Map of the Solar System by Eleanor Lutz

The Semantics Of Headlines

Katja Flükiger has a take on how headlines tell the story. The data visualization aims to communicate how much is the selling influencing the telling. The project was completed at Maryland Institute College of Art to visualize references to immigration and color-coding the value judgments implied by word choice and context.

The Semantics Of Headlines graph

The Semantics of Headlines by Katja Flükiger

Moon and Earthquakes

This data visualization works on answering whether the moon is responsible for earthquakes. The chart features the time and intensity of earthquakes in response to the phase and orbit location of the moon.

Moon and Earthquakes statistics visual

Moon and Earthquakes by Aishwarya Anand Singh

Dawn of the Nanosats

The visualization shows the satellites launched from 2003 to 2015. The graph represents the type of institutions focused on projects as well as the nations that financed them. On the left, it is shown the number of launches per year and satellite applications.

Dawn of the Nanosats visualization

WIRED UK – Dawn of the by Nanosats by Valerio Pellegrini

Final Words

Data visualization is not only a form of science but also a form of art. Its purpose is to help businesses in any field quickly make sense of complex data and start making decisions based on that data. To make your graphs efficient and easy to read, it’s all about knowing your data and audience. This way you’ll be able to choose the right type of chart and use visual techniques to your advantage.

You may also be interested in some of these related articles:

  • Infographics for Marketing: How to Grab and Hold the Attention
  • 12 Animated Infographics That Will Engage Your Mind from Start to Finish
  • 50 Engaging Infographic Examples That Make Complex Ideas Look Great
  • Good Color Combinations That Go Beyond Trends: Inspirational Examples and Ideas

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Al Boicheva

Al is an illustrator at GraphicMama with out-of-the-box thinking and a passion for anything creative. In her free time, you will see her drooling over tattoo art, Manga, and horror movies.

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13 Best Free Presentation Websites Alternatives to PowerPoint in 2023

‍ What is a presentation website?

Presentation websites are applications created to present information as a slide show. Slideshows are presentations that comprise charts, images, videos, and the standard text. They ensure that data is displayed clearly, summarized, and readable to the audience.  

Slideshows work best when presented on a projector or a big screen. Intermittently, some users might print out slide shows as documents, but this is ill-suited for that purpose. 

Any presentation tool must have three fundamental functions:

  • ‍ A text editor: to input the contents of the presentation.
  • ‍ An import function: to insert and manipulate images and other content.
  • ‍ A slide-show or presenter mode: that displays the content in a nice, formatted way.

Slide shows often consist of a combination of text, video, images and charts. Their primary function is displaying clear, readable and summarized data to an audience.

Most presentations are shared and presented on a larger screen or through a digital projector. In rare occasions, slide presentations are printed out as a replacement for text documents, but this is a really inefficient way to review data, that Garr Reynolds calls ‘ PresDocs ’ (Garr Reynolds is the author of Presentation Zen, one of the most important go-to reference for successful presentations).

Related Read: What Makes Up the Best Presentation Templates?

What makes the best presentation website?

When looking for the best presentation apps, there is a need to consider not just pitch decks but also school lectures, religious sermons, and adverts. Therefore, an excellent presentation app should be affordable, have enough sharing and collaboration options, have a range of pre-built templates, and be flexible. 

Visualization in presentations

A presentation without visual aids can be very boring. It's hard to remember things if they are just words on a page or screen. But with visuals, people retain information much better. So, ensure you have some great images to help your audience understand what you're talking about.

Consider using infographics if you want to add some spice to your presentations. Infographics are visually appealing ways to present complex information in a simple way. They can include charts, graphs, maps, diagrams, timelines, etc. Many online tools are available to create them, including Piktochart , Visually, and Canva . 

Presentation or visualization names of websites

Presentation websites allow you to create amazing presentations through the use of web technologies.

There are many cases when you might need to create a presentation for a particular purpose. Creating a presentation on PowerPoint is easy, but that doesn't mean it's the best option. That's why we'll talk about how to create a presentation without PowerPoint and how to get the best out of these presentation website alternatives. 

However, there exist today, numerous applications, software, and websites that can help create stunning designs and art for presentations other than PowerPoint. From Slidebean to Google Slides, there are more than enough presentation apps to help you. No matter your tastes, needs, and specifications, there is always one that fits your bill. Read on to find out more.

What makes a great PowerPoint Alternative?

Not everyone prefers PowerPoint. Why? Because it can feel and look clunky at times. But not every PowerPoint alternative works the same way. To find the best one for you, look out for features such as:

  • Ability to present online and offline.
  • Sharing and collaboration features.
  • Features that allow for easy interpretation and assimilation of data.
  • Highly customizable templates.
  • Good transition and animation capabilities.
  • Work import capabilities.

What are some good presentation websites

Here's a list of the best 10 powerpoint alternatives for 2023:.

Check out our top 10 presentation software tools that we believe are great alternatives to PowerPoint. We've curated this list based on our own interests and research. Let's dive right in and get started:

1. Slidebean presentation builder

description presentation or visualization

Key Differentiator: Time Efficiency and Design

Pricing: Free with limited features, paid plans start at $199/year

Slidebean tops our list for its impressive time efficiency and design capabilities. This presentation software harnesses the power of artificial intelligence to calculate new slide designs in seconds. The platform offers a vast array of professional templates, each equipped with text suggestions tailored to various industries, making presentation creation a breeze. Slidebean also allows logo integration, enhancing your branding. Moreover, the tracking feature provides valuable insights into audience engagement, giving you the opportunity to improve your content and drive success in your presentations.


2. google slides.

description presentation or visualization

Key Differentiator: Collaborative Convenience

Pricing: Free

Google Slides is an excellent choice for those seeking seamless collaboration and cloud-based convenience. With a reliable internet connection, multiple collaborators can work on a single project simultaneously without any need for downloads. The platform also allows sharing via email, facilitating easy dissemination of your presentations. Although Google Slides offers some impressive templates, it could benefit from more diverse design options for a truly personalized touch.


description presentation or visualization

Key Differentiator: "Zooming" into Creativity

Pricing: Free with limited features, paid plans start at $5/month)

Prezi's zoom function sets it apart, creating engaging and dynamic presentations. It boasts a unique smart structure technology that impresses audiences. However, using Prezi's exceptional features might require training and design skills. While the free version offers significant benefits, remember that it comes with privacy limitations. Consider opting for the paid plans if confidentiality is crucial for your presentations.

4. Apple Keynote

description presentation or visualization

Key Differentiator: Sleek and Sophisticated

Pricing: Free with Mac devices, standalone versions available for macOS at $19.99

Designed for Apple users, Keynote brings sleekness and sophistication to your presentations. The software is versatile, allowing you to work on floor plans and text slides alike. While it may lack some collaborative features of other platforms, Keynote excels in creating aesthetically pleasing and professional presentation materials.


5. haiku deck.

description presentation or visualization

Key Differentiator: Simplified Storytelling

Pricing: Free with limited features, paid plans start at $9.99/month

Haiku Deck focuses on visual storytelling, providing an array of visually appealing templates and high-quality images to captivate your audience. The software streamlines the presentation process, making it ideal for those seeking simplicity and elegance. With its user-friendly interface, Haiku Deck enables you to create impressive slides in minutes.


description presentation or visualization

Key Differentiator: Design Flexibility

Pricing: Free with limited features, paid plans start at $9.95/month)

Though primarily known for graphic design, Canva also offers powerful presentation tools. With a vast library of design elements, templates, and stock images, Canva allows you to fully customize your slides. Its collaborative features and easy sharing options make it a go-to choice for teams working on presentations.

description presentation or visualization

Key Differentiator: Visual Content Creation

Pricing: Free with limited features, paid plans start at $25/month

Visme excels in visual content creation, offering impressive charts, graphs, and infographics. This platform goes beyond conventional presentations, making it ideal for educational and business purposes. It enables you to create interactive and engaging content that will leave a lasting impact on your audience.

description presentation or visualization

Key Differentiator: Animated Presentations

Pricing: Free with limited features, paid plans start at $19/month

If you want to bring your presentations to life with animation, Powtoon is the software for you. Its dynamic and animated slides add flair to your content, keeping your audience engaged throughout the presentation. Powtoon's easy-to-use interface and extensive library of animated assets make it perfect for creating captivating animated presentations.


description presentation or visualization

Key Differentiator: Multi-dimensional Presentations

Pricing: Free with limited features, paid plans start at $12/month

Emaze stands out with its multi-dimensional presentation capabilities. It offers 3D templates, virtual reality integration, and immersive slides, making your presentations stand out. For those seeking innovative ways to captivate audiences, Emaze is a powerful choice.

10. Zoho Show

description presentation or visualization

Key Differentiator: Collaborative Creation

Pricing: Free with limited features, paid plans start at $5/month

Zoho Show offers collaborative features that make teamwork seamless. It allows multiple users to collaborate in real time, making it an excellent choice for group projects and presentations. The platform also provides a variety of templates and customization options to suit your presentation needs.


description presentation or visualization

A presentation software launched in 2020, Pitch is already referred to as a “PowerPoint killer”. It was created to help non-designers (or beginners) create excellent pitch decks. 

Pitch has an extensive library of presentation templates, but this is just one of its benefits. This software emphasizes collaboration and even includes built-in video collaboration for remote teams to work together. Pitch presentations can also be integrated with Google Analytics, Google Sheets, and similar applications.

description presentation or visualization

This cloud-based presentation tool proffers a user-friendly alternative to PowerPoint. Its sleek editor interface allows you to add your preferred background images, import a variety of designs, and collaborate easily with others. It is known to be very user-friendly.

Slides offers access and edit features from any device, as long as it is internet-connected. It also helps manage privacy rights, allows presentations offline, offers analytics management, and allows for adding GIFs and images. 

However, it is limited in slide options and templates and does not offer graphic inclusions.

description presentation or visualization

Gamma is a user-friendly web tool designed to make creating presentations easier for both educators and students. Its standout feature is its AI technology, which handles design tasks, allowing users to focus on their content. With Gamma, anyone can quickly create visually appealing presentations without needing advanced design skills.

How do I create a presentation without PowerPoint?

Numerous alternatives to PowerPoint are on the Internet. The issue is not about creating a presentation without PowerPoint but getting that presentation tool or software that can help achieve your goal. 

While many tools offer free accounts to peruse and utilize online and offline presentations, some do not. This does not mean the free tools are not good, rather, it is just a marketing idea. 

What can I use instead of PowerPoint for free?

Here are some presentation tools you can make use of instead of PowerPoint;

WPS Office boasts functionality and a well-designed, along with offline document capabilities. Sometimes accused of having very similar features to Microsoft Office, users can efficiently work on PowerPoint files. It also offers many templates. However, collaboration might be a bit stressful. 

WPS Office is available on Android, Web Windows, iOS, Linux, and macOS.

If there is one thing Canva has, it is templates. Canva makes PowerPoint look simple with a vast array of templates for every specification. If you have a problem with making decisions, do not use Canva.

However, that is its Achilles heel; many people find themselves scrolling for so long. Not all templates are free but, it helps narrow down your options. 

  • Bonus Tool: InVideo

InVideo is considered a cloud-based online video editing tool with the feature of creating slideshow videos. it contains a huge selection of slideshow templates, stock footage, photos, and music to make great slideshow videos without a watermark. Although it is available for free, some features require a premium subscription.

Without a doubt, it can be stressful to get that one presentation software that can fit your exact specifications and give the required output. Although utilizing Slidebean can be very flexible, it can also be use to produce the best infographic presentation that compares data in an easily-understood manner.

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Data Visualization Job Description

Data Visualization is a fundamental concept of modern-day data analysis, where the transformation of complex data into some meaningful visual representation is done. An organization’s Data Visualization Specialist or Analyst will be charged with a crucial task in this aspect and the organization will be able to utilize data to formulate decision-making and strategic action planning. Here, I have aggregated various topics on duties, skills, and tools that are applied as well as career prospects of Data Visualization positions, and the fact that data visualization and visual storytelling are notably pivotal in our data-driven workplace of today.

Overview of Data Visualization Roles

A Data Visualization specialist is the person taking care of such functions as turning plain data into interactive and creative visualizations, after which they are converted to visual elements. Specialists with the ability to close the data processing and decision-making loop by designing interactive visualizations, which are the easy-to-understand information components to be used in a clear strategic manner.

Showing data through special techniques and methods is considered the main duty in this job; it’s more like every data should be shown clearly and attractively. This is primarily about meeting the data needs, data clean up and preparing the data, visualization design and development, and underlying insight presentation.

Key Responsibilities

In Data Visualization jobs, one carries out an assortment of responsibilities to allude information as a fascinating set of graphs. People in the data visualization or analytics department often perform the following tasks which are exhibited below.

  • Data Analysis and Preparation: Work with the data scientists and analysts to understand the type of data and objectives and then proceed to set expectations. Make sure data is clean, transformed, and refined, as well, as the visualization should remain correct, consistent, and appropriate.
  • Visualization Design: Build nice-looking graphics, diagrams, maps, charts, and dashboards using a tool like Tableau, Power BI, or D3.js to show the data. Critically apply design methods, color theory, and information organization designing visualizations of the pollutants.
  • Stakeholder Collaboration: A liaison type of role between corporate stakeholders in terms of collecting requirements, defining essential data, and figuring out customers’ needs. Extract useful information from the data and give it as a hint to the decision-makers.
  • Data Interpretation: Process all the data and make sense of the trends, patterns, correlations, and outlying fractions to get the full picture. In addition, enlighten stakeholders on made findings, where visual storytelling will summarize major highlights and practical recommendations.
  • Quality Assurance: Keep data accuracy, thoroughness, and factuality in your graphical illustrations. Do quality checks, and data verification, and fix any discrepancies and errors to keep the data sources reliable and credible.

Required Skills and Qualifications

To be effective in this role, the person should have a combination of technical skills, analytical capability, and communication skills In the light specified below are the main skills and competencies that Data Visualization Specialists or Analysts are required to have:

  • Data Analysis Skills: Proficient in using advanced data analysis techniques such as SQL, Python, and R for example, to acquire, clean, analyze, and transform for visualization purposes. Thorough knowledge of statistical theory, data visualization, and data mining practices.
  • Data Visualization Expertise: Extensive awareness of data visualization principles, practices, and effective techniques. Possessing a functional understanding of data visualization tools, e.g. Tableau, Microsoft Power BI, QlikView, and D3.js to mention but a few, to come up with impressive visualization charts, graphs, and dashboards.
  • Programming Skills: Familiarity with programming languages in association with scripting for data manipulation and automation tasks. Skill set in writing scripts, customizing the graphical representations, and bringing in data sources by programming languages like JavaScript, HTML, or CSS.
  • Design Aesthetics: Attention to design beauty and use convenience (UX). Applying design principles such as colors, typography, information hierarchy, and so on, a designer can build stunning and easy-to-understand visualizations.
  • Communication Skills: High level of written and oral communication proficiency liable to interact with sophisticated data outcomes, insights, and suggestions crystal clear. Flexibly adjusting the communication styles and message formats varies depending on the audience, both technical and non-technical stakeholders.
  • Problem-Solving Abilities: Analytical and critical thinking abilities that enable the analyzing of data, pointing out trends, and patterns as well as exceptions, and form meaningful conclusions. Found the task to resolve difficult questions, and take data-driven decisions to bring in actionable recommendations based on data analysis.

Common Tools and Technologies

The use of several tools, technologies, and programing languages by data visualization experts to develop visualizations and dashboards, which are flexible to use. Let’s have a look over the most widely spread instruments and technologies in data visual data presentation.

  • Tableau: Tableau is the most well-known data visualization platform which not only has a cutting-edge user interface but is also an expert in fulfilling complex data requirements. It offers creative visualization of data sources that also include dashboards, charts, graphs, maps, and reports. Tableau features have in-depth capabilities such as blending data resources, calculations, and data storytelling through data visualization.
  • Microsoft Power BI: Microsoft Power BI is business intelligence software with capabilities to show information in different forms and representations. It is a tool that is used to analyze data from various sources. Whether it is a linear chart, bar graph, or even visualization map, it offers a full range of representation options. Power BI provides data reviewing, sharing insights, and collaboration around data exploration and analysis projects.
  • QlikView/Qlik Sense: With QlikView and Qlik Sense as the products of Qlik, business users can discover data, visualize it, and get insights through guided analytics. QlikView is designed to generate infographic visualizations and guided analytical activities, whereas Qlik Sense offers self-driven and free-will data discovery and visualization features. They also have a known structure of data based on association and a well-designed graphical user interface.
  • D3.js: D3 is a versatile JavaScript library that makes it possible to develop fancy and sensible visual data on the web online. It treats the same way as HTML, CSS, and SVG, it thus allows one to create custom visualizations, animations, and interactive charts. D3.js along with other libraries for watching and tracing data flow is used for developing unique visualizations and data-driven web applications.
  • Excel and Google Sheets: The existing spreadsheet tools such as Excel and Google Sheets, have basic visualization features. They empower users with the ability to visualize data through simple charts, graphs, and pivot tables within the field of Excel capability. Nevertheless, though not as powerful as the specialized data visualization tools, Excel or Google Sheets may be conveniently employed in performing the ad hoc tasks of analysis and visualization.

Examples of Data Visualization Projects

1. sales performance dashboard.

  • Objective : Design a dashboard that will have all measures of sales performance represented visually, this covers such things as revenue, sales growth, customer acquisition, and product performance.
  • Visualizations : Sales graphs line up according to that period, line graphs explain revenue according to product category, line charts are used to analyze market share, and maps will also be indicated by sales distribution by region.

2. Customer Segmentation Analysis

  • Objective : Use your consumer data to create groups that range in age, lifestyle, and shopping trends.
  • Visualizations : Some of the visualizations that we are using are cluster analysis graphs like a dendrogram or a bubble chart, heatmaps that show customer behavior patterns, and radar charts that provide information about the parameters of a segment.

3. Financial Market Trends Visualization

  • Objective : Observe and show visualizations for trends in financial markets no matter how it is whether stock prices, market indices, or trading volumes.
  • Visualizations : Candlestick chart for price movements of shares, line chart for the trend of market indexes, volume histogram, and correlation maps for the asset value study.

4. Website User Behavior Analysis

  • Objective : Analyze user behavior on a website and use the above analysis to improve user experience, with the consequent maximization of conversion rates.
  • Visualizations : Funnel regressions representing the steps of the user session, heat graphs for clicks and scrolls, line graphs for traffic and trends, and cohort analysis on user retention.

5. Healthcare Analytics Dashboard

  • Objective : Develop a dashboard to enable healthcare practitioners to examine the results of patients, resource utilization, and work capability.
  • Visualizations : Patient outcome trend charts, resource allocation heatmaps, effectiveness comparison tool charts of different treatments, etc., and operational KPI dashboards for hospital management, hospital management, etc.

Career Paths and Growth Opportunities

1. data visualization specialist/analyst.

  • Entry-Level Role: The role involves: developing data visualizations through like Tableau, Power BI, or Python libraries, and analyzing and interpreting the results. In conjunction with data analysts and the various stakeholders, you define the intelligence needed and translate the data into reasonable recommendations.
  • Growth Opportunities: Through practicing, you can take a more diverse set of projects, head visualization teams and become an expert in advanced data visualization tools. Besides, in specific domains, such as marketing analytics, you can focus on finance or healthcare.

2. Data Analyst/BI Analyst

  • Entry-Level Role: Data Analysts’ work involves collecting, registering, and analysis of data that is then used to create reports and information. Frequently, they join forces with Data Visualization Specialists to materialize data into visual representations.
  • Growth Opportunities: As a Data Analyst, the next step for you would be the role of Senior Data Analyst or BI Analyst or a progression to a Data Scientist role. Making a difference from this point will require proficiency in data modeling, predictive analytics, and data storytelling.

3. Data Scientist

  • Entry-Level Role: Data scientists employ their data analytical skills and machine learning techniques to gain meaningful information from huge data. Experts in machine learning, they tackle tasks like predictive modeling, clustering, and data mining in solving the most complex issues.
  • Growth Opportunities: As more seasoned and skilled in the data science field, Data Scientists can rise to the stage of being lead data scientists, data science managers, or chief data officers. They may be keen on deep learning matters, AI morals, or data items in which organizations can run.

4. Data Engineer

  • Entry-Level Role: In data engineering, the professionals responsible for designing and constructing data pipelines, databases, and data warehouses are Data Engineers. They enable data management to ensure quality, reliability, and scalability which are fundamental for analytics and visualization purposes.
  • Growth Opportunities: Senior Data Engineer or specialist and data engineering manager are the next steps for Data Engineers. Additionally, data engineers can specialize in different big data technologies like Hadoop, Spark, or cloud-based data platforms such as AWS or Azure.

5. Data Visualization Consultant

  • Entry-Level Role: Data Visualization Consultants find employment in consulting firms or as individual contractors. They work along with clients across multiple industries where they come up with relatable visualization plans, optimize data operations as well as prompt action based on data.
  • Growth Opportunities: As a Data Visualization Consultant, you can grow to the height of Senior Consultant or Principal Consultant and even perform project management and above target areas which include data strategy, storytelling, and client relation management.

In the end, the Data Visualization Specialist position has a key role in making complex data understandable, limiting to the most effective visualizations. This work must, in addition to being data-driven, be designed via top-notch design skills, while being written in a manner that will tell meaningful stories out of the data. With organizations more and more adding data-driven decision-making to the list of their tools, the need for skilled professionals grows even bigger – in data visualization in particular. The field yields a multiplicity of career progression possibilities, involving entry-level jobs and every specialist profession in different industries such as financial services, healthcare, and technology. Innovation, knowledge of the industry’s tools, and enhancement of arranging the information are the cornerstones of this, always-changing and dynamic work. It has become so exciting and intriguing.

Data Visualization Job Description – FQAs

What is a data visualization specialist.

The Data Visualization Specialist’s task is to transform the complicated data sets into read-able charts, graphs or dashboards with an emphasis on clear presentation of the information.

What skills are required for a Data Visualization Specialist role?

The position of a Data Visualization Specialist requires skills of the professionals in data visualization tools (e.g., Tableau, Power BI), data analytics, design aesthetics, communications, and working with large data sets.

What are the key responsibilities of a Data Visualization Specialist?

Main tasks are extracting and pre-processing data, visualizations providing, working in collaboration with the teams for an understanding of data requirements, data criticality ensuring, data quality assuring checks, training and support providing, and staying updated to the industry trends.

What are the career growth opportunities for Data Visualization Specialists?

Future prospects of changing position to the senior role, developing domain expertise (such as Healthcare analytics or Financial analytics), transitioning to roles like Data Analyst, Data Scientist, or Data Engineer, and becoming a Data Visualization Consultant are included in career growth opportunities for Data Visualization Specialists.

What industries typically hire Data Visualization Specialists?

For example, fields like finance, health care, technology, marketing, and consulting, in particular, are known to be reliant on these specialists as part of their data-driven decision making, performance analysis, customer insights, and strategic planning processes.

What qualifications are needed to become a Data Visualization Specialist?

Usually, a student should hold a Bachelor’s degree in Data Science, Computer Science, Information Systems, or so on, alongside with a significant amount of previous experience in data visualization, dashboard design, and data analysis. Besides this, data visualization skills acquisition is similarly very important.

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Gliese 12 b: An Intriguing World Sized Betwen Earth and Venus

  • Released Thursday, May 23, 2024
  • Robert Hurt
  • Written by:
  • Francis Reddy
  • Produced by:
  • Scott Wiessinger
  • Scientific consulting by:
  • Michael W. McElwain
  • Gl12b_Earth_Comparison_ac.jpg (3840x2160) [935.8 KB]
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Visual description: At left, against a black background, floats an artist's concept of a nearly half-illuminated Earth, with clouds, blue oceans, and land areas rendered in green, tan, brown, and white. At right are three similarly illuminated planets, slightly smaller than Earth and each representing a possible interpretation of Gliese 12 b. The version on the left has a surface of blotchy reddish and brownish features and no atmosphere. The middle version has the same surface texture partly obscured by a hazy atmosphere. And the rightmost and smallest version of the planet has a thick, Venus-like atmosphere that obscures the surface completely.

Using observations by NASA’s TESS (Transiting Exoplanet Survey Satellite) and many other facilities, two international teams of astronomers have discovered an exciting planet between the sizes of Earth and Venus only 40 light-years away. It is the nearest, transiting, temperate, Earth-size world located to date. Astronomers say it's a unique candidate for further atmospheric study. Earth remains habitable, but Venus does not due to its complete loss of water. If Gliese 12 b retains some atmosphere, it could teach us a lot about the habitability pathways planets take as they develop. TESS stares at a large swath of the sky for about a month at a time, tracking the brightness changes of tens of thousands of stars at intervals ranging from 20 seconds to 30 minutes. Capturing transits — brief, regular dimmings of stars caused by the passage of orbiting worlds — is one of the mission’s primary goals. The host star, called Gliese 12, is a cool red dwarf located almost 40 light-years away in the constellation Pisces. The star is only about 27% of the Sun’s size, with about 60% of the Sun’s surface temperature. The new world, named Gliese 12 b, orbits every 12.8 days and is Earth’s size or slightly smaller — comparable to Venus. Assuming it has no atmosphere, the planet has a surface temperature estimated at around 107 degrees Fahrenheit (42 degrees Celsius). The distance separating Gliese 12 and the new planet is just 7% of the distance between Earth and the Sun. The planet receives 1.6 times more energy from its star as Earth does from the Sun and about 85% of what Venus experiences. One important factor in retaining an atmosphere is the storminess of its star. Red dwarfs tend to be magnetically active, resulting in frequent, powerful X-ray flares. However, analyses by both teams conclude that Gliese 12 shows no signs of extreme behavior. During a transit, the host star’s light passes through any atmosphere, effectively sampling it. Different gas molecules absorb different colors, so the transit provides a set of chemical fingerprints that can be detected by facilities like NASA's James Webb Space Telescope.

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Visual description: Against a starry background, a bright, reddish star shines at lower left. At right, the body of a planet dominates the view, its hazy limb arcing from top center to bottom right. The planet's body is mottled in red and brown hues, the details softened by a slight atmospheric haze.

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  • Gl12b_Illustration_cloudy.jpg (3840x2160) [807.0 KB]
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Visual description: Against a starry background, a bright, reddish star shines at lower left. At right, the body of a planet dominates the view, its hazy limb arcing from top center to bottom right. A thick, yellow-brown atmosphere obscures any view of its surface.

In this sequence, the camera starts close to a Venus-like artist's concept of Gliese 12 b set against a starry background. As the camera pulls back and spins, the planet shrinks, the stars whirl, and the planet's host star eventually appears. The planet passes across the star's face, creating a transit. Passing through the planet's atmosphere, the host star's light is partly absorbed, encoding into it the chemical fingerprints of the atmosphere's component elements. Gliese 12 b is one of the best candidates for this type of study.Credit: NASA/JPL-Caltech/R. Hurt (Caltech-IPAC)

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Credit: NASA/JPL-Caltech/R. Hurt (Caltech-IPAC)

Same as above but with a thinner atmosphere around Gliese 12 b.Credit: NASA/JPL-Caltech/R. Hurt (Caltech-IPAC)

  • Gl_12b_atmosphere_4K.mp4 [65.1 MB]
  • Gl_12b_atmosphere_HD.mp4 [33.0 MB]
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  • Gl_12b_atmosphere_HD.00300_thm.png (80x40) [4.5 KB]

Same as above but with an airless version of Gliese 12 b.Credit: NASA/JPL-Caltech/R. Hurt (Caltech-IPAC)

  • Gl_12b_airless_4K.mp4 [64.9 MB]
  • Gl_12b_airless_HD.mp4 [32.9 MB]
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  • Astrophysics

Please give credit for this item to: NASA's Goddard Space Flight Center. However, individual items should be credited as indicated above.

  • Robert Hurt  (IPAC)

Science writer

  • Francis Reddy  (University of Maryland College Park)
  • Scott Wiessinger  (KBR Wyle Services, LLC)
  • Michael W. McElwain  (667)

Release date

This page was originally published on Thursday, May 23, 2024. This page was last updated on Wednesday, May 22, 2024 at 11:09 PM EDT.

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  25. Gliese 12 b: An Intriguing World Sized Betwen Earth and Venus

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