Twins Scorecard

This is a large text file containing the MLB baseball game logs for the Minnesota Twins from the 2010 season. The data is in a comma-separated value (CSV) format, with each line representing a single game.

To process this data, you can use various programming languages and libraries to extract insights, such as:

1. Game summaries: Extract team names, scores, dates, and locations for each game.
2. Player performance: Analyze batting averages, pitching statistics, and other player metrics.
3. Team performance: Calculate team winning percentage, runs scored, and other relevant metrics.
4. Schedule analysis: Examine the Twins' schedule, including opponents, home/away splits, and streaks.
5. Injury reports: Identify players who were injured or on the disabled list during the season.

To get started, you can use a programming language like Python or R to read the CSV file and perform basic data cleaning and analysis.

Here's some sample Python code to get you started:

import pandas as pd

# Load the data from the CSV file
data = pd.read_csv('twins_2010.csv')

# Print the first few rows of the data
print(data.head())

# Calculate the team winning percentage
team_winning_percentage = (data['Minnesota Twins Wins'] + data['Opponent Wins']) / (data['Minnesota Twins Wins'] + data['Opponent Wins'] + data['Ties'])
print(team_winning_percentage)

This code loads the CSV file into a Pandas DataFrame, prints the first few rows of the data, and calculates the team winning percentage. You can modify this code to extract other insights from the data.

Let me know if you need help with specific aspects of the data or have any questions about the code! Updated: July 18, 2025 at 5:09 AM