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3 Awesome Visualization Techniques for every dataset
And Learn a little about Football while at it
Visualizations are awesome. However, a good visualization is annoyingly hard to make.
Moreover, it takes time and effort when it comes to present these visualizations to a bigger audience.
We all know how to make Bar-Plots, Scatter Plots, and Histograms, yet we don’t pay much attention to beautify them.
This hurts us — our credibility with peers and managers. You won’t feel it now, but it happens.
Also, I find it essential to reuse my code. Every time I visit a new dataset do I need to start again? Some reusable ideas of graphs that can help us to find information about the data FAST.
In this post, I am also going to talk about 3 cool visual tools:
- Categorical Correlation with Graphs,
- Pairplots,
- Swarmplots and Graph Annotations using Seaborn.
In short, this post is about useful and presentable graphs.
I will be using data from FIFA 19 complete player dataset on kaggle — Detailed attributes for every player registered in the latest edition of FIFA 19 database.