More explorations with the data get a better overview of team performance in Serie A with Pandas and Plotly
Last time I played with the Serie A data trying to understand a little bit more about Milan Derby. Then I was thinking to do more explorations with the data so I may get a better overview of team performance in Serie A. As a big fan of data visualisation, pie chart, tree map, line chat and bar chart were employed. The packages used in the current analysis are: pandas for data cleaning; glob for data merging; numpy for data filtering and group; plotly.express for data visulisation
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In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:- ### Pandas Series Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float...
The next Milan derby will kick off next week, to provide a bit more information and visualisation to my football fan husband as well as…
Plotly Express is probably my new favorite data viz tool in python, especially after learning how to take control of it to make it look even nicer. Here, I’ll walk you through the basics to help you on your way to mastering making pretty charts with Plotly Express.
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