The second part consists of analysis done on performances of individuals along with venues analysis. It informs simple analysis on most runs, wickets, strike rates, and economy of bowlers to complex analysis of most runs, and wickets in the power play, death overs, and the middle part of the innings. Venue/ ground analysis apprises which venue was best to chase or defend the target.
Everything from Data Cleaning, Data Manipulation, and Data Visualization is done solely in R Programming Language.
1. Most Man of the Match Awards Won by Players in IPL 2008–2020
2. Most Runs Scored in IPL 2008–2020
3. Most Sixes Hit by Batsmen in IPL 2008–2020
4. Most Fours Hit by Batsmen in IPL 2008–2020
5. Highest Strike Rate of Batsmen ( min 2000 Runs Scored) in IPL 2008–2020
6. Lowest Economy Rate of Bowlers in IPL 2008–2020
7. Most Runs Scored in Powerplay Overs (1 — 6) in IPL 2008–2020
8. Most Runs Scored in Death Overs (16 — 20) in IPL 2008–2020
9. Most Wickets Taken in Powerplay Overs (1–6) in IPL 2008–2020
10. Most Runs Scored in Death Overs (16–20) in IPL 2008–2020
11. Most Wickets Taken in Middle Overs (7 — 15) in IPL 2008–2020
12. Most Matches Hosted by Stadiums in IPL 2008–2020
13. Win % While Chasing the Target on a Particular Stadium in IPL 2008–2020
14. Win % While Defending the Target on a Particular Stadium in IPL 2008–2020
A Data Analyst who likes to work on sports data. Other than that, I am an explorer, bibliophile, history buff and used to be a bad mechanical engineer.
