@matplotlib is the one of the most popular 🐍 Python data visualization 📊 library with over 16K ⭐ on GitHub

Mega 🧵 on various plots with examples & code 🚀🚀🚀

🟠 Bar Charts are excellent when you are showing segments of information.

🟠 An example showing the points comparison premier league table for 2022-23

🟠 Bar Charts also come in handy to show side-by-side comparison of two or more values.

🟠 An example plot of goals scored by Messi & Ronaldo in the last decade

🟠 Building stacked subplots offers insight into h a part to whole relationship among each category.

🟠 Here's another football match by numbers

🟠 Line charts are excellent for time series data.

🟠 An example showing the famous India vs Pakistan WoldCup T20 game where Virat Kohli played one of the best knocks in a cricket game

🟠 Heatmaps are a form of histogram which help compare categories based on certain attributes

🟠An example comparing football players based on various attributes which players posses such as shooting, passing, defensive skills, etc

🟠 Polar Scatter Plots can be found especially useful in geographic data

🟠 Some good usecases in the link below
geographyfieldwork.com/PolarScatterChartCreator.html

🟠 Example courtesy @akshay_pachaar

🟠 Pie-Charts are not the most effective means of communicating data because people are much better at comparing lengths and heights

🟠 Hence prefer Line, bar other charts but nonetheless, here is an example plot again courtesy @akshay_pachaar

🟠 When Scatter plots are drawn on too much data it leads to overplotting

🟠Hexagonal Bin plots come in handy in such scenario. A sample plot courtesy @akshay_pachaar

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