Data Wrangling and Analysis

This lecture covers a homework assignment focused on data wrangling and analysis using Python's pandas library. The assignment involves loading, handling, and filtering real-world datasets, creating visualizations, and communicating findings clearly. Important dates and rules are provided, emphasizing the importance of justifying external library usage and providing concise textual descriptions. The tasks include filtering data, merging dataframes, calculating missing data percentages, and performing statistical tests to compare left-handed and right-handed pitchers' salaries and performance. The analysis reveals insights into the differences between left-handed and right-handed pitchers in terms of salaries and opponents' batting averages.