performance_data.py

import sqlite3
import matplotlib.pyplot as plt

# Function to store player performance data in the database
def store_performance_data(player_id, statistics, game_logs, achievements):
    # Connect to the database
    conn = sqlite3.connect('player_database.db')
    c = conn.cursor()

    # Insert player performance data into the database
    c.execute("INSERT INTO performance_data (player_id, statistics, game_logs, achievements) VALUES (?, ?, ?, ?)",
              (player_id, statistics, game_logs, achievements))

    # Commit the changes and close the connection
    conn.commit()
    conn.close()

# Function to retrieve player performance data from the database
def retrieve_performance_data(player_id):
    # Connect to the database
    conn = sqlite3.connect('player_database.db')
    c = conn.cursor()

    # Retrieve player performance data from the database
    c.execute("SELECT statistics, game_logs, achievements FROM performance_data WHERE player_id = ?", (player_id,))
    performance_data = c.fetchone()

    # Close the connection
    conn.close()

    return performance_data

# Function to analyze and visualize player performance data
def analyze_performance_data(player_id):
    # Retrieve player performance data
    performance_data = retrieve_performance_data(player_id)

    if performance_data:
        statistics, game_logs, achievements = performance_data

        # Perform analysis on the performance data
        # ...

        # Visualize the performance data
        # ...

        # Example: Plotting statistics
        plt.plot(statistics)
        plt.xlabel('Game')
        plt.ylabel('Points')
        plt.title('Player Performance')
        plt.show()
    else:
        print("No performance data found for player with ID:", player_id)