How to Visualize Data? · Rishab Academy

9d ago (edited) in Research & Science Fair

How to Visualize Data?

Welcome to 'Me giving advice as my mum chases me down to study.' I already have ranted too many times, so let me give y'all some actual advice.

Using Accurate Visual Channels. In terms of Visualization of data you need to understanding which channels are more accepted by the audience. Here is the list from most accurate to least, Position-length-angle/slope-Area-Volumn-color/Density.

What I mean is you know like one circle is lower and the other is higher and if they are representing a database then it's position based visualization. You get the point.

2. Choosing the right color palette. You need to choose color palletes based off of some pattern. Like sequential pattern, cyclic pattern or a diverging one.

3. Making it accessible to everyone. In terms of choosing a color I would suggest choose those that even people with color blindness or deficiency can understand the data or message your are trying to reach. I person use thermal colors, vidris or cividis for this reason.

4. Making you charts interesting. We add an attention grabber in every essay but why not try making data charts attention grabbing too? For instance, rather than the title of the chart being 'Population of the Continents', You can use 'Asia is the most populous Continent' right away makes your audience not only understand the chart but also grab their interest.

5. Reducing Unnecessary Chart title. MAKE YOUR CHARTS SIMPLE. The less the better. Keep the data sets, reduce the titles and extra lines. It will look much cleaner and understandable than before. Trust me.

6. Lastly, don't use one chart for too many data sets. You can divide them into multiple ones. Your main goal is to reach your data to your audience not create artworks with charts. I used to do those and they looked pretty but even I couldn't Understand them. So if possible divide them into some parts.

That's all. I have been ranting too much, so this is my token of appreciation.✨🗿 Thank you for reading and as usual if you have any other opinions or wanna add some more points feel free to to do so. Imma go and finish my assignment. It's 1.31 rn 🏃.

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