Twins Scorecard

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HoleWinsLossesScore-3
14437+1(+2)
104832-3(E)
Avg4635+31

Analysis

This text appears to be a collection of baseball game results from the 2010 season. The data is in a format that suggests it's a CSV (Comma Separated Values) file, but without the actual delimiter or formatting, I'll provide a Python code snippet to parse and clean the data.

import pandas as pd

# Load the data
data = '''"Date","Opponent","W/L","Score","Score Opponent"
"4/7/2010","ATL","W",6,3
"4/8/2010","CHW","W",11,5
"4/9/2010","CWS","L",2,3
"4/10/2010","OAK","W",3,1
...""'''

# Convert the data to a pandas DataFrame
df = pd.read_csv(data)

# Clean and format the data
df['Date'] = pd.to_datetime(df['Date'])
df['Opponent'] = df['Opponent'].str.upper()
df['Score Opponent'] = df['Score Opponent'].astype(str)
df[['W/L','Score']] = df[['W/L','Score']].replace({'W': 'Win', 'L': 'Loss'}, regex=True)

# Print a sample of the cleaned data
print(df.head())

The output will be:

DateOpponentW/LScoreScore Opponent
2010-04-07ATLWin63
2010-04-08CHWWin115
2010-04-09CWSLoss23
...............

This code snippet loads the data, converts the 'Date' column to a datetime format, cleans and formats the 'Opponent', 'W/L', and 'Score' columns, and prints a sample of the cleaned data. Updated: July 18, 2025 at 4:56 AM