code for injuries_2024.txt

import pandas as pd
import matplotlib.pyplot as plt

# Load the CSV file into a DataFrame
df = pd.read_csv('/content/injuries_2024.csv')

# Aggregate the number of injuries per player
injuries_per_player = df.groupby('Player Name')['Number of Injuries'].sum().reset_index()

# Find the player with the highest number of injuries
least_fit_player = injuries_per_player.loc[injuries_per_player['Number of Injuries'].idxmax()]

print(f"The player with the highest number of injuries is {least_fit_player['Player Name']} with {least_fit_player['Number of Injuries']} injuries.")

# Plot the data
plt.figure(figsize=(10, 6))
plt.bar(injuries_per_player['Player Name'], injuries_per_player['Number of Injuries'], color='skyblue')
plt.xlabel('Player Name')
plt.ylabel('Number of Injuries')
plt.title('Number of Injuries per Player in 2024')
plt.xticks(rotation=45, ha='right')
plt.tight_layout()

# Highlight the player with the highest number of injuries
plt.bar(least_fit_player['Player Name'], least_fit_player['Number of Injuries'], color='red')

# Show the plot
plt.show()