Description: -
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The idea was to integrate our Cricket knowledge with the concepts of Data Science using R as the programming language to analyze the performance of the players(bowlers).
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Our analysis basically concentrated on how bowlers performed in the tournament on accord to attributes such as Economy, Average, Ground, Overs, etc.
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We used different charts to showcase our analysis which is user understandable and produced the results of the performance of various bowlers who were part of their teams.
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Being hardcore Cricket fans our main motivation was to find out how bowlers performed in various conditions and different grounds and hence sought out to analyze the performance of bowlers across the globe.
Literature Surveys: -
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Nishanth Shastry - Literature Survey of "Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis" research paper.
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Partheesh Ranjan Singh - Literature Survey of "CricAI A classification based tool to predict the outcome in ODI cricket" research paper.
Dataset link: - https://www.kaggle.com/saivamshi/cricket-world-cup-2019-players-data/version/5#Bowler_data.csv