This Data Dive examines the IPL Player Performance Dataset by exploring missing data patterns and analyzing how documentation shapes interpretation. Through categorical checks, missingness analysis, and an outlier study, the report highlights how data quality influences cricket analytics

The data dive explores how sampling variability changes with sample size by comparing three independent samples of the dataset.

This week data dive analyzes groupby and probability along with trends of total sixes in recent seasons and across venues. It explores IPL team participation across seasons, identifies missing team–season combinations, with a heatmap.

IPL Data Dive Week1 Summary Statistics