Read the pdf and use the data to answer the questions The R is required in Q1 and Q4.
Also, I filed the correct answer for Q4.
This link will be helpful to do the cluster graph: https://uc-r.github.io/kmeans_clustering
The following assignment questions are based on “The Indian Premier League: Gauging Player Performance” and the supporting data file.
1. Mitra is exploring the performance of IPL batsmen using analytical data tools. How should Mitra go about it? Discuss in detail. 2. Should Mitra include the “hundred” variable in the analysis? Why/why not? What other variables can he use and how?
3. Mitra is keenly interested in two performance indicators in detail: batting average and strike rate. Discuss the relevance of these two performance indicators in this context. How can Mitra identify outstanding players on these performance indicators? Are there any limitations to your suggested approach?
4. Mitra is interested in creating subgroups of players. How can he do that? Discuss in detail.
5. Over the 2019 IPL season, many cricket fans commented on various social networking platforms that team owners have wasted a considerable amount of money by picking poor performers Can Mitra examine these allegations in an impartial way? What would you suggest? Why?
6. If you were Mitra, would you implement any other market research methods in addition to the data analysis to better understand some of these issues?
7. Based on your findings, what would you suggest to the teams regarding player acquisition?
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