This is a follow-up article on using data analysis techniques to explore some interesting insights into Indian Premier League(IPL) matches played from 2008 – 2020. This is part of a series of articles covering data analysis in Python. If you are not familiar with Data analysis, I request you to go through my introductory article: Indian Premier League(IPL) Data Analysis from 2008-2020
As a use-case for this article, let us explore which venue hosted the maximum number of matches between 2008 and 2020
Which venue hosted the maximum number of IPL matches?
As you probably know, IPL was played predominantly in India, but also in South Africa and Dubai during COVID.
Step 1: If we can get the count of matches played at each venue, we will know which venue hosted the maximum maximum of matches. Notice the column venue indicate the venue which hosted the IPLP matach. The sum of all these games gives the total games hosted by each individual venue.
Notice that Eden Garden, Kolkata has hosted the maximum number of matches, followed by Feroz Shah Kotla stadium in Delhi.
Step 2: Let us convert the above series back into dataframe as follows:
Step 4: The final step is the data visualization to visualize the data using matplatlib and seaborn library
I hope you find this article helpful. Please refer to the project in GitHub https://github.com/kirancshet/IPL_Data_Analysis which includes the Jupyter notebook covering the entire code.
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