In Armenia and in many other Asian countries we have a saying:
Better to see something once, than to hear about it a hundred times.
<aside> 💡 This is a concept I keep repeating whenever working on any data visualizations. Current data analytics software have various libraries that further help make your visualizations readable and understandable to the general public who have no background in statistics or data analytics.
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I remember my first ever Data Science class at UC Berkeley where one of the most repeated statement was "pie charts are bad visualizations!" Here I will discuss some common practices that help make your visualization better.
The following image wraps all my points into the above points.
<aside> 🌵 You should take a look at my Creative Data page where you can find interesting data inspirations.
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