Analyzing Athlete Injury Prediction Data with Python
To explore the relationship between athlete attrbiutes and injury likelihood, we first examine age, weight, and height using data aggregation and visualization.
Analyzing by Age Groups
Method 1: Pivot Table
age_df = pd.pivot_table(df, values='Recovery_Time', index='Player_Age', columns='Likelihood_of_Injury', aggfunc='count')
# Rename columns ...
Posted on Fri, 15 May 2026 01:59:52 +0000 by cneumann