what is the description of presentation or visualization

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

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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.

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.

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.

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More from AhaSlides

Visualization And How It Can Transform Your Life

Kids naturally use creativity and their imaginations as they grow up. Upon reaching adulthood, this may start to come to an end—something experts are beginning to see as premature. Many successful people are crediting the act of visualization as the secret to their success, which may be encouraging for those who miss using their imaginations as they once did as children. Visualization can look different for everyone, including how it’s carried out, when and where you practice it, and how it affects your life. Understanding and using this technique can help transform your life in various ways.

What is visualization?

Visualization is usually paired with meditation and mindfulness . This process varies, but it often looks like going to a quiet place, closing your eyes, calming your body, and starting to think about the things that you want to experience in life. During this process, it may help to get as detailed as you possibly can.

Here’s an example: If you want to win an award in the future for contributions at your place of work, you can close your eyes and picture yourself winning the award. You can think about what it would feel like to hear your name called as the winner. You might picture what you would wear and how you would look. You can also imagine the details about who is presenting the award to you, what they are saying about you, and what it feels like to hold the award in your hand.

How to visualize

If you want to start adding the practice of visualization into your life, here are some steps that you can follow.

• Find a quiet place to sit. Make sure this is a place where you will not be disturbed.
• Close your eyes and take several deep breaths to help yourself relax.
• Begin to think about the outcome, object, or situation that you want in your life. Think about it as clearly as possible with every detail that you can imagine. Fully feel the emotions related to what you are visualizing.
• Practice doing this at least once a day, but preferably more.

You don't have to spend hours visualizing. It can be something that you do for just 5 or 10 minutes every time you get started. When you have finished visualizing, you might try to hold on to that vision throughout the day. 

What is the science behind visualization?

The science behind visualization relates to the neural patterns of your brain. As you continue to visualize the things that you want in your life, you may create neural patterns in the same way as if you had actually done those activities. This is why, as studies have shown, basketball players may increase the percentage of shots they make by training their brains. The nervous system of your body is stimulated just by your thinking about something, even if you have never taken part in the activity before.

Visualization entails training your mind. In a way, you are practicing experiencing whatever it is that you want in your life. The more you focus on something, the more likely you may be to see it in your life. You've probably heard the idea that you get in life what you expect. If you don't expect much in life, you are likely to achieve just that because your mind has settled and, subconsciously, you are not motivated to go after what it is that you really want.

However, when you spend time actively visualizing what it is you want for yourself, you are creating the motivation within yourself to go after it. The more you visualize it, the more you can see and believe that it is possible in your life. You can also look for more opportunities to make it happen.

How can visualization transform your life?

Visualization can significantly impact your life for the better. The following are a few ways in which you may benefit from visualization.

Improve performance

There are many athletes who participate in visualization to improve their athletic ability, and this strategy can also apply to non-athletes. Visualizing your work performance can help you to deliver higher-quality results and boost your productivity.

One of the reasons that your performance can improve is that you may be more focused on your work. You're training your mind to focus through the visualization process. We all have many daily distractions, including other people and technology. Our brain gets used to having this constant stimulation and activity; however, it also makes it more difficult for us to focus. When you practice visualization, you are getting into the routine of calming your mind, thus training yourself to focus on one thing at a time. You're retraining your brain to focus.

Overcome anxiety

There's a large percentage of people who hate public speaking or experience anxiety while doing it. This includes standing in front of a larger room full of people or giving a presentation in front of a group of co-workers. If you have a presentation coming up, you might overcome your anxiety and nervousness with the practice of visualization. Visualizing giving your speech and having a positive response may help you to remember your speech. It can also allow you to go in with more confidence when you are ready to perform.

Learn what you really want

Life is busy, and if we don't take the time to think about what we want, we may never figure it out. When you spend time visualizing situations and thinking through the details of them, you can get in tune with yourself and begin to understand yourself on a deeper level. You're likely more able to see the things that you want to achieve in life, which can help you to understand on a deeper level why you want those things. Visualizations can allow you to come up with clear goals and really understand what it is that you want. The more detailed you are, the clearer you can be about what that looks like in your life.

Reduce the amount of stress that you experience

When you take time to visualize, you're taking time out of your day, and that can help you to get away from the stress in your life. You are calming yourself from the inside out, which can help to alleviate the pressure of stress. You are learning how to control your thoughts. This can be an important ability if you are constantly living in stressful situations. Visualization may help you to take control of what you are thinking about and how your body is reacting.

By continuing to practice visualization, you may learn to control your body's reaction and calm your mind even in the midst of a difficult situation when you don't have time to step away. These practices can also be used when you are trying to fall asleep.

There are many different ways to talk about visualization, and there are successful people who practice it. If you are experiencing difficulty filling your head with positive things that you want for your life, there could be an underlying concern at play. You can discuss this with a licensed counselor, as visualization is not a cure for everything and may not be enough for some of the challenges you’re facing. 

Online counseling with BetterHelp

If you’d like to learn more about visualization along with other kinds of helpful methods, consider speaking with a licensed therapist. If you don’t like the idea of going to a therapy practice, you might try online therapy , which numerous studies have shown to be as effective as in-office therapy. One of the benefits of evidence-based online therapy at BetterHelp is that it’s available anywhere, including from the comfort of your own home. You can participate in sessions via phone call, video chat, or a feature that allows you to send messages back and forth with your therapist. This remote nature also usually makes online therapy more affordable than in-office therapy.

Counselor reviews

“Rhonda is great. She helped me cut through my mental clutter, and use breathing, visualization and sensory mindfulness to mitigate and address some of life's issues.”

“Dr. Gemma is the absolute best! Within a short period of time, she was able to help me see things from a different perspective, allowed me to be vulnerable and transparent (something that hasn't been easy for me) and just overall listened and provided amazing feedback!”

What is the meaning of visualization?

Visualization is the process of creating a mental image or intention of what you want to manifest or achieve, engaging the mind's eye to form a picture of your desired outcomes with as much clarity and detail as possible. 

Why is visualization so powerful?

Visualization can be a powerful tool because it uses the brain's neural patterns, much like actual experiences do, meaning one can potentially increase motivation, enhance performance, improve focus, and reduce stress by stimulating through data visualizations and mental displays. 

What is visualization in spirituality?

The visualization definition may be slightly different in spiritual contexts. In spirituality, visualization is typically a meditative practice or exploration where individuals form vivid mental images that symbolize their desires, goals, or intentions. It often involves imagining oneself in a state of achievement or embodying a particular feeling, like peace or healing. It's often seen as a way to connect with the subconscious or higher power to set intentions and manifest outcomes by lining up thoughts and energy with goals. 

What is an example of visualizing?

Here are several examples of information visualization: 

• Achieving Personal Goals: A runner might visualize running a marathon, imagining the training process, the big race day, crossing the finishing line, and feeling the excitement of achievement to prepare for an actual marathon.  
• Imagining Better Relationships: A person who wants to create more sound friendships and connections might visualize positive conversations and interactions with people to prepare for real-life meetups and events. 
• Reaching Professional Goals: A data scientist might visualize their career progression, seeing themselves leading a big data project, presenting their analysis to stakeholders, and being recognized for contributions to understanding consumer distribution patterns. 
• Attaining Health Goals: Someone who wants to improve their health may spend time visualizing themselves in peak physical condition, making note of the sensory experience of health. 
• Business Success: An entrepreneur might envision the growth of their startup or imagine themselves running successful companies to prepare themselves to achieve business success. 

In each case, visualizing involves taking the data you know and imagining a detailed mental image and sensory experience of the desired outcome. It can also be helpful to identify and incorporate emotions into visualizing. 

What is another word for visualization?

There are several alternate words for visualization, including: 

• Envisioning
• Mental Rehearsal
• Envisaging 

What is the purpose of visualization?

There are several purposes to visualization, including: 

• Improving Performance
• Overcoming Anxiety
• Learning What You Really Want
• Reducing Stress 
• Spiritual Practice 

Visualization is just one of many tools to help people improve their well-being and cause personal change. 

Does visualization actually work?

Visualization can be effective for many people, helping them to achieve goals and improve overall well-being. However, it's important to acknowledge that it's a complementary technique that can be powerful when used alongside other methods, like physical practice or other therapeutic techniques. It may not be equally effective for everyone, and additional support may be needed for some individuals and situations. 

What is the secret power of visualization?

Some people believe that the secret power of visualization lies in its ability to tap into the subconscious mind, align one's mental and emotional energies with their goals, and potentially manifest desired outcomes into reality. It coincides with the idea that our thoughts can shape our reality, which resonates with many spiritual and philosophical traditions. From a scientific and therapeutic perspective, visualization can reinforce motivation, increase confidence, reduce anxiety and stress, and enhance performance.

Can visualization change your body?

Despite what you may have read on the web, visualization alone cannot directly change your physical body. However, some believe it can indirectly influence bodily processes through the mind-body connection. 

For example, athletes may use visualization techniques to enhance their physical performance and muscle memory, which can lead to changes in their physical capabilities over time. Some people find visualizing positive physical changes can help with motivation and adherence to diet and exercise plans, ultimately contributing to physical transformation. 

It's important to note that while visualization can be a powerful tool for motivation and setting intentions, it is not a substitute for physical action and consistent effort in making tangible changes to one's body. 

What triggers visualization?

There are several ways to trigger visualization, including creating a vision board, listening to guided visualization meditations, journaling, and working with a therapist. 

• What Is Spatial Visualization? Medically reviewed by April Justice , LICSW
• What Is Creative Visualization? Medically reviewed by Nikki Ciletti , M.Ed, LPC
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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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Article • 9 min read

Visualization

Imagining – and achieving – your goals.

By the Mind Tools Content Team

Have you ever wondered what Olympic athletes think about right before they compete? Imagine this for a moment: they're in front of thousands, or even millions, of people. They're feeling nervous, watching their competition, and considering all the things that might go wrong and how to avoid them.

Sounds reasonable, right? After all, that's probably what we would do in their position. But well-trained athletes know that they should never visualize mistakes, especially right before a competition. Why? Because picturing, or visualizing, mistakes – imagining poor performance – increases the likelihood that the athletes will actually do those things during the event, even when they don't mean to.

Instead, most top athletes are trained to visualize their goals right before a competition. They see themselves winning the game, running the fastest race, or scoring the winning point. They're trained to "picture" what they want to happen, instead of what they don't want to happen. When they do this, their chances for success increase dramatically.

This is the power of visualization – and you, too, can use this technique every day to help you achieve your goals and dreams. In this article, we outline what visualization is, and how you can start using it in your life.

What Is Visualization?

Visualization is a simple technique that you can use to create a strong mental image of a future event. With good use of visualization, you can practice in advance for the event, so that you can prepare properly for it. And by visualizing success, you can build the self-confidence you need to perform well.

For instance, imagine you have a major job interview next week. You're nervous already, and it's easy to worry about giving poor answers to the interviewer's questions, speaking awkwardly about your past accomplishments, and forgetting your letters of recommendation.

Does this sound familiar? We've all probably experienced negative thinking like this.

However, instead of thinking negatively, you could use visualization to imagine that the interview goes well. You could picture yourself talking confidently, easily describing all of your past achievements, and providing letters of recommendation to the interviewer. That vision feels a lot better, doesn't it?

Visualization offers several benefits:

• Visualizing outcomes that you want can increase your confidence. "Seeing" yourself succeed helps you believe that it can – and will – happen.
• Visualization helps you "practice" success. When you imagine every step of an event or activity going well, you get your mind and body ready to take those steps in real life.
• Anyone can benefit from visualization. You don't have to be a life coach or personal development expert to use visualization to achieve your goals.

How to Use Visualization to Achieve Your Goals

The great thing about visualization is that you can use it in so many areas of your life. Do you want a promotion? Do you want to make more friends at the office? Do you want to start your own business?

Visualization can help you in all of these areas. This is why so many highly effective people use the technique to help them achieve their goals and dreams.

Follow these steps to start visualizing your goals.

1. Decide What You Want

What do you want to focus on? Pick one dream or goal to start visualizing. For example, visualize a successful outcome of the presentation you're going to give next week.

2. Picture the Scene

Start imagining the exact scene. Don't be vague or unclear – the more specific you are, and the more details you imagine, the better the visualization will work for you.

Picture the scene as if you were there. What color are the walls? What are you wearing? Who is in the room with you?

Make sure you use all of your senses in the visualization exercise. Sight, sound, taste, smell, touch – include them all so that you really bring your vision to life.

In our example, imagine yourself standing in front of the group. Picture each team member's face, and what each person is wearing. Hear the sound of papers being moved around, the smell of fresh coffee, the sight of sunshine coming in through the office windows.

Also, imagine what you're feeling and experiencing. You're confident and excited about the presentation you're about to give. You know that your team members will enjoy what you have to say, and will find value in the information you share with them. You're really looking forward to getting started.

3. Imagine Each Step Toward Your Successful Conclusion

What will you have to do to make sure your presentation is successful?

Identify each step that must take place for you to achieve your goal. And start picturing each step as part of your visualization exercise.

For example, your presentation will open with an introduction. So, visualize yourself explaining to the group why you're giving the presentation, and what they'll get out of it.

Visualize the talking points you'll use, and what you'll say for each slide. Picture your hand motions, and imagine looking directly at everyone as you speak.

Go through the entire presentation in your mind, focusing on each step and how you'll feel. Remember, always focus on what you want, not on what you don't want. You want to feel relaxed and confident, not nervous or forgetful. So, focus on the positive feelings, and avoid the negative ones.

4. Visualize Daily

If your presentation is two weeks away, aim to do a complete visualization at least once a day until the actual day arrives.

It's important to be consistent, because regular visualization can convince your brain that what you imagine is actually the truth. The more you visualize something, the stronger that vision becomes – and the higher the likelihood that you'll get what you want. Why? Because you've done it already.

Visualizing daily is just like training for a marathon, or perfecting a golf swing. The more you practice, the more familiar your body (or your mind) will become with those specific "motions." You're literally training your mind for a successful outcome.

The great thing about visualization is that you can do it anywhere: on the train to and from work, at night before you go to bed, or while you're having your morning coffee.

More Visualization Tips

Here are more things to try with visualization:

• Choose a quiet environment. Do your visualization exercises in a quiet place. This allows you to focus on the experience and get the greatest benefit from it. Every time you're interrupted, it takes longer to get back into the full visualization.
• Write down one sentence that describes the outcome you want. Post this statement somewhere that's easily visible, on or near your desk. This keeps the positive outcome right in front of you, where you'll think about it often. If you can, repeat the sentence out loud several times a day.
• Find an image that represents your visualization. In our presentation example, it might be a picture of someone talking confidently in front of a group. Put this image someplace that's easily visible – on your desk, saved on your computer's wallpaper, and so on. This is another tool to help you visualize your desired outcome while you're working.

Visualization is a useful technique that helps you reach your goals and live your dreams. It works by getting your mind and body ready for what you want to happen – and, just like exercise, the more you do it, the stronger it becomes.

Aim to practice your visualization exercises daily in a quiet place, and make sure your visualizations are as detailed as possible. Remember – always focus on what you want to happen, not on what you don't want to happen.

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A Guide on How to Write a Presentation Description

Slides present the essence of the content very advantageously if you take advantage of proven tips in formatting.

The presentation is simply designed to present any topic at its best. Such a text should be well structured, intuitive, informative, and beautifully designed. But you don’t have to be a designer or a Photoshop wizard to do this.

In creating a quality presentation, it is vital to combine the insightful text and straightforward design skillfully.

How to write a presentation description?

Similar to any other content. Take into account the target audience and the topic, choose a suitable style of explanation and fill the text with information and facts. Description content will be an excellent basis for an informational presentation. Thus, the description of the presentation depends entirely on the objectives. For example, if your goal is to convince people, you need to saturate it with facts, figures, favorable terms, and calls to action.

Presentation is a compelling type of content for an academic audience. It works brightest as an offer. Thanks to the beautiful design, your offer will attract much more attention and win the favor of the target audience in advance. The academic audience also likes presentations for their logical structure and clear demonstration of the topic.

But in addition to the how to write a presentation description, its design is no less critical. Slides present the essence of the content very advantageously if you take advantage of proven tips in formatting.

Is it true that the description should not be more than 30 words?

There are no universal rules on how to write a presentation description. Presentations differ in purpose, format, and audience, and each slide separately solves a different problem. For example, if you send a commercial proposal by mail, a separate slide may contain the contract terms or legal details that the addressee needs to know in advance. This is a critical text, so do not risk the meaning and reduce it for the sake of mythical “regulations” of 30 words or 6 lines.

Essay writing service advises to remember the simple principles:

• One slide – one thought.
• It is better to break down a complex idea into simple ones and explain it in several slides.
• Sometimes it is better not to tell but to show illustrations, icons, and diagrams.
• Good description briefly and accurately conveys the meaning.

It only takes a few sentences to describe a simple thought, which is enough for one slide. If there is so much text that you want to reduce the font – think about whether you can shorten it.

How to make the presentation description concise?

Use as simple a formulation as possible: avoid complex speech constructions, participles, passive voice, abstruse expressions, and clericalisms.

Come up with meaningful titles that convey the theme or the main idea of the slides. That way, the audience will understand and remember your opinion without reading the main text. Ensure the text, icons, and illustrations on the slide are related to the title.

The presentation to be sent out will be read, so it should be self-explanatory. You should put it together into a coherent and consistent story that is understandable without a speaker. You can place as much text as you want (but not so that the whole slide is solid text).

If you are speaking publicly, the description on the slide is unnecessary for the presentation: you can show illustrations and diagrams, explaining their meaning in parallel. Take into account the room in which you are to speak. Presentation slides in a small meeting room are visible to everyone so that you can place illustrations and even icons on them in addition to the description. But if you have a vast space, people will read the text from the last row, which directly affects its size and the number of words on the slide.

What is the difference between presentations that are sent and public speaking?

The slides are the same everywhere, aren’t they? Not really. The slides will be different, but that’s not even the point. The conditions in which the audience perceives the information differs. Public speaking with presentations is always limited in time. People can safely study and re-read the presentation received by mail.

The main difference between these presentations: the audience’s attention is focused on different things. During the public speaking with the presentation, the audience listens to the speaker to avoid losing the thought and occasionally switches to the slides. 

During public speaking, the slides are linked to speech and appear on the screen when you choose to do so. They should be easy to read so as not to distract the audience’s attention from your words. It is enough to show a few talking points or visual images. Without a speaker, such a presentation will be an incomprehensible set of slides.

The audience focuses entirely on the slides when receiving a presentation by mail. The speaker is not there, the reader has no one to ask questions, and he or she will understand only what you write and show.

Everything the reader will see in a presentation sent by mail should be connected into one coherent story, understandable without a speaker. It will need meaningful headings by which you can understand the essence of the presentation without reading the main text. Some of the points will have to be more detailed and make semantic links between the slides so that the viewer understands what will happen next. You don’t want the reader to switch slides and lose the point.

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What is Data Visualization? Definition, Examples, Best Practices

This guide provides an introduction to data visualization, including real-world examples, best practices and editable templates.

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June 5, 2020

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 data visualization can be creative and pleasing to look at, it should also be functional in its visual communication of the data.

This resource explains the fundamentals of data visualization, including examples of different types of data visualizations and when and how to use them to illustrate findings and insights.

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visualization

Definition of visualization

Examples of visualization in a sentence.

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'visualization.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Word History

1883, in the meaning defined at sense 1

Dictionary Entries Near visualization

visualizable

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“Visualization.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/visualization. Accessed 17 May. 2024.

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Presentation Guru

5 ways to make your presentation more visual and effective.

Visualizing slides (just a fancy word for transforming slides full of text into more visual slides) is a big part of my job, but you don’t need to be a PowerPoint expert to apply some basic visualization techniques to your presentations. Even minimal changes can make your presentations much more effective and can help people understand your messages better.

Listening to someone present, who is just reading a slide full of text, doesn’t add to understanding. It actually distracts, because the audience will end up reading the text on the slides themselves instead of listening to what the presenter is saying.

On the other hand, slides with less text and more visuals, whether it be graphs, pictures or diagrams can help the audience retain more information, because visuals and speech work hand-in-hand rather than compete for attention in the brain.

It’s a proven concept we follow at BrightCarbon, and one that we often preach about on our own blog . So, to get you started, here are 5 simple things that you can do to make your presentations more visual and more effective.

1) Cut down text on slides

Bullet-point filled slides have been plaguing audiences since PowerPoint began. But they aren’t just painfully dull: bullet points are really ineffective for communicating information to an audience.

So, the easiest way you can quickly make your presentation 1000 times better is by simply cutting out some of the text.

The easiest way to cut down text is to first break it down into chunks, then break it into key points – so, one short bullet-point per chunk – and then to get rid of filler words. This will help you take large paragraphs of text and break them into short and snappy phrases that can fit into text boxes or other shapes.

For example, let’s look at the following block of text:

Peonies are my favorite type of flower. They’re pretty to look at because they come in a range of beautiful shades of pink. They also smell amazing and make great perfume. Lastly, they are larger than a lot of other flowers and make a gorgeous, lush bouquet.

Instead of filling an entire paragraph, we could break this text into three key points:

• Peonies come in range of pink shades
• They make great perfume
• They make a gorgeous bouquet

Then, if we get rid of any filler, we are left with:

• Pink shades
• Great perfume
• Gorgeous bouquet

And voila! You have yourself some bullets that are ready to be fit into shapes. By allowing your text to fit into shapes you gain the ability to organize it in a linear way and then you can animate it on clicks, to stagger the flow of information and tell a more compelling story.

So, BEFORE :

and AFTER :

If you want to learn more about how to ditch the bullet points for good, find out more here .

2) Show locations on maps

I’ve worked on quite a few presentations at this point and I think it’s safe to say most of them include a list of locations at some point. This is because it is really common for companies to have a narrative that includes showing their impact on a national, or global, scale by showing their locations. Often, this is just presented as a list of places. But it’s a lot more interesting – and memorable – to show locations on a map.

For example, if a company has opened a couple stores per year, in different locations, they could animate icons representing these stores on a map and have information such as the year, location or size of store in a box next to the icon.

This is a good way to make the slides illustrate a story about the company’s growth, in a way that is easy for the audience to understand.

3) Add color cues

Adding color to slides in an organized way can enable you to manipulate the audience’s attention and increase their understanding of your content.

For example, if every element on your slide is blue and then you color one object yellow, people will understand that the differently colored object is important or different in some way.

The same idea of ‘color coding’ works when you want the audience to get certain ideas from colors e.g. yellow and black mean warning; green is positive; red is negative.

Keep in mind that these associations are partly based on cultural teachings, so they might not apply if the people you are presenting to have a different cultural understanding of color.

You can also use color to set a ‘mood’ for your presentation. For example, if your company is heading a green initiative then using green tones in your presentation will make it feel more environmentally friendly. Most brands already apply this theory in their logos and brand guidelines, so continuing this thought process in your slides can create even more cohesion and understanding.

Find out more about using color effectively here .

4) Use Timelines

A great way to organize text-heavy slides that involve dates and events is to divide them into a timeline.

This is similar to the map idea above, in that it requires a certain type of information to be successful, but if you have dates and information, it’s much more effective to see them organized linearly than in a list of bullet points.

A timeline is a pretty simple element to create on PowerPoint and just involves a line and some evenly aligned and distributed boxes. Create your boxes using the Insert -> Shape functionality, then use the built-in alignment tools to space everything out neatly .

5) Replace text with labelled images

The last, and arguably most important, point is to get rid of text all together, and replace it with images.

For example, if you want to talk about a new product and its features, the best way of doing this is to insert an image of the product and just label it with key words.

You can insert shapes to pin-point areas you’d like to highlight and then animate them in on clicks so you can stagger the rate at which you mention each feature, which can help the audience follow along.

It’s also useful to have images of the product being used by customers so that you can show the audience exactly how it will look and work.

Being complacent and adding tons of text or bullet points to your presentations won’t do you any favors, because people will become instantly bored and disengaged while you’re presenting, and will start reading what’s on the screen instead of listening to the important things you’re saying.

By applying a couple of easy-to-learn tips to your next presentation, you can significantly increase its effectiveness and make it much more visually appealing. Your audience will stay engaged throughout your presentation and will remember more of the content you are sharing.

It’s amazing how much visuals can do to improve communication between a presenter and an audience, so just remember that the next time you’re pasting reams of text into a 25-slide deck: there are better ways.

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• A Quick Guide to More Effective Animations - 28th February 2019
• Master the Slide Master - 20th March 2018
• 5 Ways to Make Your Presentation More Visual and Effective - 6th April 2017

Craig Hadden (@RemotePoss)

11th April 2017 at 4:05 am

These are great ideas, so thanks for sharing. Recently I’ve tried to use colour in a more systematic way, so I was especially interested to read your thoughts on that.

You might also like this makeover I did on a (real) slide. It was stuffed full of bulleted text, but ended up being far less wordy and much more visual. See what your think. (And any comments or questions are always welcome!)

15th April 2017 at 12:47 pm

Thanks for this. and if you’d like to write that piece for us, to help the thousands of designers and presenters out there, we’d love to publish that piece too. The guru is our community after all!

Abigail Lee

25th June 2019 at 12:11 pm

Great article. Prior to stumbling upon your article on Google, I have found similar another engaging article on this website https://www.slideteam.net/blog . It has a collection of enthusiastic articles on PowerPoint as well as professional slides. Feel free to explore all of them.

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What is Visualization? A Definition ​

What is a visualization? The word is problematic, and there have been very few definitions that try to define this field we are working in. More importantly: what is not a visualization? It is easy to argue that anything visual is a visualization in some way – but does that mean anything? Here is a definition of visualization and a few examples to illustrate the different criteria.

Definition ​

The following are three minimal criteria that any visualization has to fulfill to be considered a pragmatic visualization . A good visualization certainly has to do more, but these criteria are useful to draw the line between a lot of things that are often called visualization and what we consider visualization in this field.

• Based on (non-visual) data . A visualization's purpose is the communication of data. That means that the data must come from something that is abstract or at least not immediately visible (like the inside of the human body). This rules out photography and image processing. Visualization transforms from the invisible to the visible.
• Produce an image . It may seem obvious that a visualization has to produce an image, but that is not always so clear. Also, the visual must be the primary means of communication, other modalities can only provide additional information. If the image is only a small part of the process, it is not visualization.
• The result must be readable and recognizable . The most important criteria is that the visualization must provide a way to learn something about the data. Any transformation of non-trivial data into an image will leave out information, but there must be at least some relevant aspects of the data that can be read. The visualization must also be recognizable as one and not pretend to be something else (see the discussion of Informative Art ).

This definition was published in a paper on Visualization Criticism , part of which I discussed in an earlier posting .

The following examples show how these criteria provide a clear separation of visualization (in the sense of scientific and information visualization) and other kinds of data transformations that result in images.

MilkDrop is one of the most impressive music visualizers. Not only does it have a huge range of different styles that it can transition between, it's also very good at detecting beats and different instruments, so the visualization really fits the music. Since it creates images from wave data, it clearly fulfills the first two criteria. But what about readability? Can you tell which song was played when the image above was created? This is not a shortcoming, it's simply not the goal of a music visualization to be readable (and it would be very difficult). But music visualization plugins are not visualizations in the pragmatic/information visualization sense.

VisualIDs are a very clever idea to help the user tell files apart: they produce images from the names of files to produce visually similar (but still distinct) icons for files with similar names. Since they are based on data and are visual, they could be a visualization. But they also fail the readability test, you cannot tell which image represents which filename. A poetry visualization I discussed earlier has the same properties.

Radiohead's recent video for their song House of Cards was "shot without cameras," using LIDAR and structured light real-time 3D imaging devices. This has been described as "using visualization," but I disagree. The data that is being rendered was acquired using visible light, and so doesn't show anything that would not be visible through the naked eye. In fact, to make the video watchable for a general audience, they had to use something that produced a fairly realistic image. So the first criterion is clearly not fulfilled. I also have to say that the result does not strike me as particularly interesting – it's a bad sign when the making-of is much more interesting to watch than the video itself.

Conclusion ​

The many meanings of the term visualization can cause confusion and loss of focus. We need to know what we are talking about when we are working in scientific or information visualization. The definition given above provides a baseline that all visualizations must fulfill to be considered part of this field. More work is clearly needed.

Posted by Robert Kosara on July 24, 2008. Filed under criticism .

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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

Transcription

– 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 tamsenwebster.com. 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 tamsenwebster.com/speaking 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 tamsenwebster.com/speaking. 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 tamsenwebster.com/blocksfortalks. 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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• A Complete Guide on Product Presentations
• Advanced Presentation Techniques

Using Data Visualization to Tell a Story

Aayush Jain

Choosing the right chart type for your data.

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

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

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

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

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

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

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

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

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

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

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

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By Al Boicheva

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3 years ago

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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.

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.

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.

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.

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

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.

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.

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.

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 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.

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.

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 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 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.

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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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

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. 

CREATE THIS REPORT TEMPLATE

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

Source:  Bill and Melinda Gates Foundation

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

CREATE THIS MIND MAP TEMPLATE

Reporters use data visualization to show trends and contextualize stories. 

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, 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:

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.

CREATE THIS INFOGRAPHIC TEMPLATE

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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:

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. 

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. 

Source: World Vision

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

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.

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:

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: 

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:

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. 

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

Charts 

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:

CREATE THIS 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.

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

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.

CREATE THIS 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. 

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:

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.

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:

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):

USE THIS TEMPLATE

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

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.

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:

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:

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. 

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:

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)

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:

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:

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:

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:

CREATE THIS FLYER TEMPLATE

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:

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:

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:

CREATE THIS SOCIAL MEDIA TEMPLATE

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

Graphic Design Trends Infographic

Stop Shark Finning Nonprofit Infographic

Source: Ripetungi

Coronavirus Impact on Environment Data Visualization

What Disney Characters Tell Us About Color Theory

World’s Deadliest Animal Infographic

Source: Bill and Melinda Gates Foundation

The Secret Recipe For a Viral Creepypasta

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

The Hero’s Journey Infographic

Read More: What Your 6 Favorite Movies Have in Common

Emotional Self Care Guide 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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Types of Data Visualization and Their Uses

In today’s data-first business environment, the ability to convey complex information in an understandable and visually appealing manner is paramount. Different types of data visualization help transform analyzed data into comprehensible visuals for all types of audiences, from novices to experts. In fact, research has shown that the human brain can process images in as little as […]

In today’s data-first business environment, the ability to convey complex information in an understandable and  visually appealing  manner is paramount. Different types of data visualization help transform analyzed data into comprehensible visuals for all types of audiences, from novices to experts. In fact, research has shown that the human brain can process images in as little as 13 milliseconds.

In essence, data visualization is indispensable for distilling complex information into digestible formats that support both  quick comprehension  and informed decision-making. Its role in analysis and reporting underscores its value as a critical tool in any data-centric activity. 

Types of Data Visualization: Charts, Graphs, Infographics, and Dashboards

The diverse landscape of data visualization begins with simple charts and graphs but moves beyond infographics and animated dashboards.  Charts , in their various forms – be it bar charts for comparing quantities across categories or line charts depicting trends over time – serve as efficient tools for data representation. Graphs extend this utility further: Scatter plots reveal correlations between variables, while pie graphs offer a visual slice of proportional relationships within a dataset. 

Venturing beyond these traditional forms,  infographics  emerge as powerful storytelling tools, combining graphical elements with narrative to enlighten audiences on complex subjects. Unlike standard charts or graphs that focus on numerical data representation, infographics can incorporate timelines, flowcharts, and comparative images to weave a more comprehensive story around the data. 

A dashboard, when  effectively designed , serves as an instrument for synthesizing complex data into accessible and actionable insights. Dashboards very often encapsulate a wide array of information, from real-time data streams to historical trends, and present it through an amalgamation of charts, graphs, and indicators. 

A dashboard’s efficacy lies in its ability to tailor the visual narrative to the specific needs and objectives of its audience. By  selectively  filtering and highlighting critical data points, dashboards facilitate a focused analysis that aligns with organizational goals or individual projects. 

The best type of data visualization to use depends on the data at hand and the purpose of its presentation. Whether aiming to highlight trends, compare values, or elucidate complex relationships, selecting the appropriate visual form is crucial for effectively communicating insights buried within datasets. Through thoughtful design and strategic selection among these varied types of visualizations, one can illuminate patterns and narratives hidden within numbers – transforming raw data into meaningful knowledge.   

Other Types of Data Visualization: Maps and Geospatial Visualization  

Utilizing maps and geospatial visualization serves as a powerful method for uncovering and displaying insightful patterns hidden within complex datasets. At the intersection of geography and data analysis, this technique transforms numerical and categorical data into visual formats that are easily interpretable, such as heat maps, choropleths, or symbolic representations on geographical layouts. This approach enables viewers  to quickly grasp spatial relationships, distributions, trends, and anomalies that might be overlooked in traditional tabular data presentations. 

For instance, in public health,  geospatial visualizations  can highlight regions with high incidences of certain diseases, guiding targeted interventions. In environmental studies, they can illustrate changes in land use or the impact of climate change across different areas over time. By embedding data within its geographical context, these visualizations foster a deeper understanding of how location influences the phenomena being studied. 

Furthermore, the advent of interactive web-based mapping tools has enhanced the accessibility and utility of geospatial visualizations. Users can now engage with the data more directly – zooming in on areas of interest, filtering layers to refine their focus, or even contributing their own data points – making these visualizations an indispensable tool for researchers and decision-makers alike who are looking to extract meaningful patterns from spatially oriented datasets. 

Additionally,  scatter plots  excel in revealing correlations between two variables. By plotting data points on a two-dimensional graph, they allow analysts to discern potential relationships or trends that might not be evident from raw data alone. This makes scatter plots a staple in statistical analysis and scientific research where establishing cause-and-effect relationships is crucial. 

Bubble charts take the concept of scatter plots further by introducing a third dimension – typically represented by the size of the bubbles – thereby enabling an even more layered understanding of data relationships. Whether it’s comparing economic indicators across countries or visualizing population demographics, bubble charts provide a dynamic means to encapsulate complex interrelations within datasets, making them an indispensable tool for advanced data visualization. 

Innovative Data Visualization Techniques: Word Clouds and Network Diagrams 

Some innovative techniques have emerged in the realm of data visualization that not only simplify complex datasets but also enhance engagement and understanding. Among these, word clouds and network diagrams stand out for their  unique approaches  to presenting information. 

Word clouds represent textual data with size variations to emphasize the frequency or importance of words within a dataset. This technique transforms qualitative data into a visually appealing format, making it easier to identify dominant themes or sentiments in large text segments.

Network diagrams introduce an entirely different dimension by illustrating relationships between entities. Through nodes and connecting lines, they depict how individual components interact within a system – be it social networks, organizational structures, or technological infrastructures. This visualization method excels in uncovering patterns of connectivity and influence that might remain hidden in traditional charts or tables. 

Purpose and Uses of Each Type of Data Visualization 

The various types of data visualization – from bar graphs and line charts to heat maps and scatter plots – cater to different analytical needs and objectives. Each type is meticulously designed to highlight specific aspects of the data, making it imperative to understand their unique applications and strengths. This foundational knowledge empowers users to select the most effective visualization technique for their specific dataset and analysis goals.

Line Charts: Tracking Changes Over Time  Line charts are quintessential in the realm of data visualization for their simplicity and effectiveness in showcasing trends and changes over time. By connecting individual data points with straight lines, they offer a clear depiction of how values rise and fall across a chronological axis. This makes line charts particularly useful for tracking the evolution of quantities – be it the fluctuating stock prices in financial markets, the ebb and flow of temperatures across seasons, or the gradual growth of a company’s revenue over successive quarters. The visual narrative that line charts provide helps analysts, researchers, and casual observers alike to discern patterns within the data, such as cycles or anomalies.    

Bar Charts and Histograms: Comparing Categories and   Distributions  Bar charts  are highly suitable for representing comparative data. By plotting each category of comparison with a bar whose height or length reflects its value, bar charts make it easy to visualize relative values at a glance.

Histograms  show the distribution of groups of data in a dataset. This is particularly useful for understanding the shape of data distributions – whether they are skewed, normal, or have any outliers. Histograms provide insight into the underlying structure of data, revealing patterns that might not be apparent.  

Pie Charts: Visualizing Proportional Data   Pie charts  serve as a compelling visualization tool for representing proportional data, offering a clear snapshot of how different parts contribute to a whole. By dividing a circle into slices whose sizes are proportional to their quantity, pie charts provide an immediate visual comparison among various categories. This makes them especially useful in illustrating market shares, budget allocations, or the distribution of population segments.

The simplicity of pie charts allows for quick interpretation, making it easier for viewers to grasp complex data at a glance. However, when dealing with numerous categories or when precise comparisons are necessary, the effectiveness of pie charts may diminish. Despite this limitation, their ability to succinctly convey the relative significance of parts within a whole ensures their enduring popularity in data visualization across diverse fields. 

Scatter Plots: Identifying Relationship and Correlations Between Variables Scatter plots  are primarily used for spotting relationships and correlations between variables. These plots show data points related to one variable on one axis and a different variable on another axis. This visual arrangement allows viewers to determine patterns or trends that might indicate a correlation or relationship between the variables in question. 

For instance, if an increase in one variable consistently causes an increase (or decrease) in the other, this suggests a potential correlation. Scatter plots are particularly valuable for preliminary analyses where researchers seek to identify variables that warrant further investigation. Their straightforward yet powerful nature makes them indispensable for exploring complex datasets, providing clear insights into the dynamics between different factors at play. 

Heat Maps: Representing Complex Data Matrices through Color Gradients Heat maps  serve as a powerful tool in representing complex data matrices, using color gradients to convey information that might otherwise be challenging to digest. At their core, heat maps transform numerical values into a visual spectrum of colors, enabling viewers to quickly grasp patterns, outliers, and trends within the data. This method becomes more effective when the complex relationships between multiple variables need to be reviewed.  

For instance, in fields like genomics or meteorology, heat maps can illustrate gene expression levels or temperature fluctuations across different regions and times. By assigning warmer colors to higher values and cooler colors to lower ones, heat maps facilitate an intuitive understanding of data distribution and concentration areas, making them indispensable for exploratory data analysis and decision-making processes.

Dashboards and Infographics: Integrating Multiple Data Visualizations  Dashboards and infographics represent a synergistic approach in data visualization, blending various graphical elements to offer a holistic view of complex datasets.  Dashboards,  with their capacity to integrate multiple data visualizations such as charts, graphs, and maps onto a single interface, are instrumental in monitoring real-time data and tracking performance metrics across different parameters. They serve as an essential tool for decision-makers who require a comprehensive overview to identify trends and anomalies swiftly. 

Infographics, on the other hand, transform intricate data sets into engaging, easily digestible visual stories. By illustrating strong narratives with striking visuals and solid statistics, infographics make complex information easily digestible to any type of audience. 

Together, dashboards and infographics convey multifaceted data insights in an integrated manner – facilitating informed decisions through comprehensive yet clear snapshots of data landscapes.     

The Role of Data Visualization in Presentations

Data visualization in presentations: types and advantages.

Sep 19, 2022

Your presentation should inspire, persuade, and inform your audience without boring them to tears. However, even with a creative mind and polished design skills, infusing life into sticky and data-populated presentation topics can be a tall order. But not if you leverage data visualization. 

Data visualization is the representation of data through visual displays such as charts, histograms, maps, tables, dashboards, graphs, and infographics. Integrating data visualization into your presentation makes it easy for your audience to digest, absorb, and remember complex information and data. The American Management Association says visuals and actions make written information 70% more memorable . 

Thus, if you want to design a stellar presentation that delights your audience from start to finish, utilize graphical displays to your advantage. Fortunately, as we discuss below, you can employ several types of data visualization in your presentation. 

The Different Types of Interactive Data Visualizations

Interactive information visualization helps your audience quickly gather your presentation’s primary insights and takeaways by analyzing the visuals. 

Interactive visualizations create a synergetic interaction between your audience and the data, empowering them to summarize and correlate findings more efficiently. They’re especially effective in the corporate world, for instance, when delivering a business process improvement presentation.

While interactive visualizations can take many forms, these are the most prevalent in presentations:

Pie Charts To Show Important Percentages

Pie charts are by far the most effective way of representing data in percentages. A pie chart denotes individual percentages of a whole figure, making it easier to interpret data since percentages tally up to 100%. 

The full circle represents the whole figure, while each slice of the pie portrays the individual percentages. Ideally, you should use the pie chart to visualize five to six parts utmost, so it’s legible and not too populated. If you have seven or more sections to compare, go for the donut chart . 

Lastly, make good use of color coding to differentiate each wedge of your pie chart as color schemes make your data more memorable. Research has shown that colors improve human memory  by boosting concentration and focus. 

Bar Chart or Scatter Plots for Easy Data Comparison

Bar charts contrast data along a vertical axis (y-axis) and a horizontal axis (x-axis). The graphical representation created by bar charts makes it easy to compare correlative data. For instance, when comparing the yearly profit revenues of a company, you can display the revenue numbers on the x-axis and the years on the y-axis. 

Complete Dashboard Design With Multiple Graphs and Maps

When you need to display geographical data and protracted metrics, a dashboard design that integrates maps and graphs will suffice. You may need multiple graphs to present overlapping information like sales, revenue, and marketing data. Maps are handy when displaying geographical data like election results or meteorological data. 

You need ample graphic design knowledge to create aesthetic data visualization designs — like business process flowcharts — to integrate them smoothly into your presentation. Good thing you can hire graphic design experts who understand the assignment inside out and are flexible and prompt.

Why Data Visualization Tools Are Necessary for a Presentation

You need data visualization tools to create all types of visual displays. These tools are software applications designed to render and present raw data in graphical formats, such as pie charts, graphs, and bar charts. Besides handling data rendering, data visualizations tools offer the following benefits:   

Tells Your Data Story in an Elegant and Meaningful Way

Data in its raw form is complex and challenging to interpret and understand. It’s hard to tell a perceptive data story using blocks of text only. Given that the attention span for a typical audience is seven minutes , you’ll lose your audience sooner if your presentation is crammed with lots of raw data and statistics. 

Conversely, visuals help you tell a compelling data story that your audience can follow without being at sea. Good thing you’ll find a suitable data visualization tool no matter your field of expertise. For instance, you’ll find a tool for creating complex scientific visualizations if you’re a scientist and one for creating simple pie charts if you’re a motivational speaker.

Supports Idea Generation Beyond Just Those in the Field of Statistics

It’s easier for your audience to derive business insights and spot data inaccuracies from a presentation with a lot of data visualizations. By assessing and probing these insights, your audience may get a light-bulb moment that births a conceptual idea with a real-world transformational impact.

With a graphical representation of data, it’s easier for a discerning eye to spot marginal differences in cycles and patterns. These are the subtle insights that decision-makers and top professionals need to implement innovative ideas. Without data visualization tools, it would take a great deal of time to structure raw data in an easy-to-read format that can foster idea generation. 

Simplifies Data and Business Processes

If you had to draw all the data visualization examples you need in a presentation by yourself, it would be a huge undertaking that would tie up most of your productive time. But with data visualization tools, it’s simple and less time and resource-intensive. This has multifold benefits for you and your audience.

On the one hand, you’ll prepare your presentation visuals more swiftly. Faster preparation gives you more time to complete other tasks on your tab. On the other hand, your audience will access real-time data in a digested form, making it more valuable to their business processes.

Visualize Data With Ease By Outsourcing Your Presentations

Admittedly, adding data visualizations in your presentations isn’t a no-sweat job. Particularly, when dealing with large-scale data that needs multiple visual and graphic representations, the workflow can easily overwhelm you as there's much design thinking needed. But, creating data visualizations shouldn’t be overwhelming since you can hire presentation design experts  like GhostRanch Communications to do all the heavy lifting.

At GhostRanch Communications, we design any graphical and visual representations you need for your presentation. Whether you want 3-D maps, bar graphs, or simple pie charts, we have the tools and talent to deliver exquisite designs that’ll turn heads, close deals, and save you time.

Contact us today , and let us help you visualize your next presentation. 

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• Data Science

Data Analysis

• Data Visualization
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• SQL for Data Science

Introduction to SQL

• What is SQL?
• Difference Between RDBMS and DBMS
• Difference between SQL and NoSQL
• SQL Data Types
• SQL | DDL, DML, TCL and DCL

Setting Up the Environment

• Install PostgreSQL on Windows
• How to Install SQL Server Client on Windows?
• 10 Best SQL Editor Tools in the Market
• How to Create a Database Connection?
• Relational Model in DBMS
• SQL SELECT Query
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SQL Queries

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What is Data Visualization and Why is It Important?

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• How to install MySQL connector package in Python?
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• Best Practices For SQL Query Optimizations
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Working with NoSQL and NewSQL Databases

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Before jumping into the term “Data Visualization”, let’s have a brief discussion on the term “Data Science” because these two terms are interrelated. But how? Let’s understand. So, in simple terms, “ Data Science is the science of analyzing raw data using statistics and machine learning techniques to conclude that information “. But do you know what is Data Science Pipeline? First, we will understand the basics of Data Visualization & will see why is it important before moving to the Data Science Pipeline.

What is Data Visualization?

Data visualization is the graphical representation of information and data in a pictorial or graphical format ( Visualization of Data could be: charts, graphs, and maps). Data visualization tools provide an accessible way to see and understand trends, patterns in data, and outliers. Data visualization tools and technologies are essential to analyzing massive amounts of information and making data-driven decisions. The concept of using pictures is to understand data that has been used for centuries. General types of data visualization are Charts, Tables, Graphs, Maps, and Dashboards.

Categories of Data Visualization

Performing accurate visualization of data is very critical to market research where both numerical and categorical data can be visualized, which helps increase the impact of insights and also helps in reducing the risk of analysis paralysis. So, data visualization is categorized into the following categories:

Data Visualization Categories

• Numerical Data 
• Categorical Data

Let’s understand the visualization of data via a diagram with its all categories.

To read more on this refer to: Categories of Data Visualization

Why is Data Visualization Important?

Let’s take an example. Suppose you compile visualization data of the company’s profits from 2013 to 2023 and create a line chart. It would be very easy to see the line going constantly up with a drop in just 2018. So you can observe in a second that the company has had continuous profits in all the years except a loss in 2018. It would not be that easy to get this information so fast from a data table. This is just one demonstration of the usefulness of data visualization. Let’s see some more reasons why visualization of data is so important.

1. Data Visualization Discovers the Trends in Data

The most important thing that data visualization does is discover the trends in data. After all, it is much easier to observe data trends when all the data is laid out in front of you in a visual form as compared to data in a table. For example, the screenshot below on Tableau demonstrates the sum of sales made by each customer in descending order. However, the color red denotes loss while grey denotes profits. So it is very easy to observe from this visualization that even though some customers may have huge sales, they are still at a loss. This would be very difficult to observe from a table.

2. Data Visualization Provides a Perspective on the Data

Visualizing Data provides a perspective on data by showing its meaning in the larger scheme of things. It demonstrates how particular data references stand concerning the overall data picture. In the data visualization below, the data between sales and profit provides a data perspective concerning these two measures. It also demonstrates that there are very few sales above 12K and higher sales do not necessarily mean a higher profit.

3. Data Visualization Puts the Data into the Correct Context

It isn’t easy to understand the context of the data with data visualization. Since context provides the whole circumstances of the data, it is very difficult to grasp by just reading numbers in a table. In the below data visualization on Tableau , a TreeMap is used to demonstrate the number of sales in each region of the United States. It is very easy to understand from this data visualization that California has the largest number of sales out of the total number since the rectangle for California is the largest. But this information is not easy to understand outside of context without visualizing data.

4. Data Visualization Saves Time

It is definitely faster to gather some insights from the data using data visualization rather than just studying a chart. In the screenshot below on Tableau, it is very easy to identify the states that have suffered a net loss rather than a profit. This is because all the cells with a loss are coloured red using a heat map, so it is obvious states have suffered a loss. Compare this to a normal table where you would need to check each cell to see if it has a negative value to determine a loss. Visualizing Data can save a lot of time in this situation!

5. Data Visualization Tells a Data Story

Data visualization is also a medium to tell a data story to the viewers. The visualization can be used to present the data facts in an easy-to-understand form while telling a story and leading the viewers to an inevitable conclusion. This data story, like any other type of story, should have a good beginning, a basic plot, and an ending that it is leading towards. For example, if a data analyst has to craft a data visualization for company executives detailing the profits of various products, then the data story can start with the profits and losses of multiple products and move on to recommendations on how to tackle the losses.

To find out more points please refer to this article: Why is Data Visualization so Important?

Now, that we have understood the basics of Data Visualization, along with its importance, now will be discussing the Advantages, Disadvantages and Data Science Pipeline (along with the diagram) which will help you to understand how data is compiled through various checkpoints.

What is Data Science?

Data Science is a field that focuses on extracting insights using different techniques for Statistics, Mathematics, Computer Science, etc. The objective of data science is to provide valuable insight to understand patterns and take efficient decisions. 

You can also refer to this to learn more about Data Science: What is Data Science?

Data Science Pipeline

In simple words, a pipeline in data science is “a set of actions which changes the raw (and confusing) data from various sources (surveys, feedback, list of purchases, votes, etc.), to an understandable format so that we can store it and use it for analysis.”

The Pipeline in Data Science also represents numerous stages that go through will processing data, they include the following list:

• Fetching/Obtaining the Data
• Identifying Errors
• Identifying Missing Values
• Identifying Corrupt Records
• Replace or fill in missing values/errors
• Exploratory Data Analysis or EDA
• Modeling the Data
• Interpreting the Data

The picture below also explains how raw data undergoes different stages within a pipeline:

Let’s now discuss some of the Advantages & Disadvantages of Data Visualization.

Advantages of Data Visualization

1. Better Agreement: In business, for numerous periods, it happens that we need to look at the exhibitions of two components or two situations. A conventional methodology is to experience the massive information of both circumstances and afterward examine it. This will take a great deal of time.  

2. A Superior Method: It can tackle the difficulty of placing the information of both perspectives into the pictorial structure. This will unquestionably give a superior comprehension of the circumstances. For instance, Google patterns assist us with understanding information identified with top ventures or inquiries in pictorial or graphical structures.  

3. Simple Sharing of Data: With the representation of the information, organizations present another arrangement of correspondence. Rather than sharing cumbersome information, sharing the visual data will draw in and pass on across the data which is more absorbable.  

4. Deals Investigation: With the assistance of information representation, a salesman can, without much of a stretch, comprehend the business chart of items. With information perception instruments like warmth maps, he will have the option to comprehend the causes that are pushing the business numbers up just as the reasons that are debasing the business numbers. Information representation helps in understanding the patterns and different variables like sorts of clients keen on purchasing, rehash clients, the impact of topography, and so forth.  

5. Discovering Relations Between Occasions: A business is influenced by a lot of elements. Finding a relationship between these elements or occasions encourages chiefs to comprehend the issues identified with their business.  For instance, the online business market is anything but another thing today. Each time during certain happy seasons, like Christmas or Thanksgiving, the diagrams of online organizations go up. Along these lines, state if an online organization is doing a normal $1 million business in a specific quarter and the business ascends straightaway, at that point they can rapidly discover the occasions compared to it.  

6. Investigating Openings and Patterns: With the huge loads of information present, business chiefs can discover the profundity of information regarding the patterns and openings around them. Utilizing information representation, the specialists can discover examples of the conduct of their clients, subsequently preparing them to investigate patterns and open doors for business.

Disadvantages of Data Visualization 

• Can be time-consuming: Creating visualizations can be a time-consuming process, especially when dealing with large and complex datasets. This can slow down the machine learning workflow and reduce productivity.
• Can be misleading: While data visualization can help identify patterns and relationships in data, it can also be misleading if not done correctly. Visualizations can create the impression of patterns or trends that may not exist, leading to incorrect conclusions and poor decision-making.
• Can be difficult to interpret: Some types of visualizations, such as those that involve 3D or interactive elements, can be difficult to interpret and understand. This can lead to confusion and misinterpretation of the data.
• May not be suitable for all types of data: Certain types of data, such as text or audio data, may not lend themselves well to visualization. In these cases, alternative methods of analysis may be more appropriate.
• May not be accessible to all users: Some users may have visual impairments or other disabilities that make it difficult or impossible for them to interpret visualizations. In these cases, alternative methods of presenting data may be necessary to ensure accessibility.

Data Visualization Tools

The following are the 10 best Data Visualization Tools

• Zoho Analytics
• IBM Cognos Analytics
• Microsoft Power BI
• SAP Analytics Cloud

To  find out more about these tools please refer to this article: Best Data Visualization Tools

Top Data Visualization Libraries Available in Python, R, and Javascript

The following are the top Data Visualization Libraries 

To find out more about these libraries please refer to this article: Top Libraries for Data Visualization

Frequently Asked Questions on Data Visualization

What are the key benefits of data visualization.

 Consider these five advantages of data visualization: Visualized Data Is Processed Faster. … Data Visualization Dashboards Support Visual Learners. … Data visualization tools show insights that may be missed in traditional reports. Data visualization gives actionable items. Data visualization increases productivity and sales.

Why is Data Visualization?

Data visualization  helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers . A good visualization tells a story, removing the noise from data and highlighting useful information.

What are the different types of Data Visualization?

Common categorization of Data Visualisation is given below – Charts Tables Graphs Maps Infographics Dashboards

What are Data Visualization tools?

There are lots of tools to visualize your data. Most of them are javascript libraries because the power of modern web browsers allows you to create magnificent visuals with some imagination. 

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CIVS Showcases Steel Research at AISTech 2024

On May 6-8, CIVS researchers and collaborators delivered various technical presentations at the AISTech 2024 Conference in Columbus, Ohio, which is the major Annual Internal Iron & Steel Technology Conference and Exposition.  There were record-high attendees with over 8,400 professionals and students.   The CIVS presentations included 1 panel discussion, 6 technical presentations, 3 undergraduate oral presentations, and 11 graduate poster presentations in the topics of blast furnace, electric arc furnace, reheating furnace, ladle, and safety.

CIVS research quality and efforts were recognized with 5 awards . CIVS also won the AISTech attendance challenge and was selected to receive an AISTech 2024 Material Advantage Chapter Travel Grant.

CIVS Director, Chenn Zhou, served as a panelist at the Energy & Utilities Panel Discussion at AISTech 2024. Four panelists discussed the importance of high energy efficiency and greener fuels for reheating furnaces.  CIVS Senior Research Engineer Kyle Toth presented “Hazard Recognition Scenario Builder for On-Site Customizable Virtual Training” with co-author and Senior Research Scientist Jack Moreland.

It was exciting to see so many people interested in our project (we had about 80 attendees for our talk). It shows the importance of hazard recognition for safety and the need for our project to help create custom scenarios for site specific training. John “Jack” Moreland, Senior Research Scientist

AISTech gave a positive outlook on the steel industry and my place in it. Sustainability and decarbonization were huge topics in the technical presentations and town hall forum. Speakers emphasized how important it is for the students and young professionals of today to do research and lead change that will shape the steel industry over the next 25 years on its path to net zero. I came away from the conference excited about the future of steel and the direction the industry is headed. Veronica Pitt-Payne, undergraduate student majoring in Civil Engineering at PNW, 1st place winner of the undergraduate student contest

The following is a list of CIVS technical presentations:

1) “CFD Modeling of the Refining Process in an Industry-Scale Electric Arc Furnace: Analysis of Decarburization Efficiency and Model Validation,” presented by Orlando Ugarte, Post-Doctoral Researcher

2) “Scale Thickness Prediction for Steel Reheating,” presented by Nicholas Walla, Senior Research Engineer

3) “The Integrated Virtual Blast Furnace: Enabling Physics-Based Operational Guidance,” presented by Tyamo Okosun, Associate Director for Research

4) “Image-Based Casting Rate Estimation for Molten Iron Jet Released from Blast Furnace,” presented by Weixiao Shang, Post-Doctoral Researcher, Purdue University

5) “A CFD Study of Refractory Brick Erosion and Corrosion in Ladle Metallurgy Furnace,” presented by Xipeng Guo, Ph.D. Research Assistant

6) “Hazard Recognition Scenario Builder for On-Site Customizable Virtual Training,” presented by Kyle Toth, Senior Research Engineer

AISTech is North America’s largest annual iron and steel technology conference and exposition. It provides a global perspective on today’s marketplace by featuring technologies from all over the world that help steelmakers to compete more effectively. AISTech is hosted by The Association for Iron & Steel Technology.

The Association for Iron & Steel Technology (AIST) is a non-profit organization with over 18,500 members from over 70 countries. AIST represents a large network of steel industry professionals with tremendous knowledge and expertise.