Data Analysis with IPL match-by-match dataset of season 2022.
Dataset has been downloaded from Kaggle and it can be found in Data folder in my reprository.
The dataset contains 3 dataset files i.e:- IPL_Matches_2022.csv , matches.csv and IPL_Ball_by_Ball_2022.csv. These files used for IPL 2022 analysis.
o Highest scorer batter in in overall IPL 2022
o Lowest scorer batters in in overall IPL 2022
o Bowler who takes highest number of wickets over all IPL
o Bowler who takes zero wickets over all IPL
o Stats of top 5 bowlers
o Top fielder who takes catches
o Top fielder who takes run out
o Wickets stats between catches and run out
o No. of toss won by each team with stats
o Team that wins by highest run margin/run chase in overall IPL
o Highest run scorer in power play and death overs
o Most run scorer player in last 2 over
o Most runs scored in 19th and 20th over
o Match winner teams after winning toss
o Is there any advantages in winning match after winning toss?
o The most successful IPL teams
o Most sixes and most fours by individual and teams
o Most 50+ 100+ partnerships by duo
o Most likely decision after winning toss
o Most likely decision after winning toss team-wise
o No. of matches hosted by different cities
o Lucky stadium for the top most team
Must begin with a pandas DataFrame containing 'wide' data where:
1.Every dataset represents a different data.
2.Each column holds the value for a particular category.
The data below is an example of properly formatted data.
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