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Major_League_Baseball-Analysis

README.md

Project - Major League Baseball Analysis

The Lahman Baseball Dataset contains complete batting and pitching statistics from 1871 to 2014, plus fielding statistics, standings, team stats, managerial records, post-season data, and more.

Project Overview

In this project, we're interested in answering a few questions (see below) about Major League Baseball. To answer them, we're going to write some python, and use the Lahman Baseball Dataset!

Areas for Analysis

Analysis 1

As a University of Michigan Alumni (Go Blue!) I'm always curious which universities produce top talent. We'll look at which universities produce the most MLB All-Stars.

Analysis 2

The salaries that MLB players get, compared to the general population, are astronomically high. Let's look at how MLB salaries have changed over time.

Analysis 3

What's also interesting, is the best players seem to get paid disproportionately high compared to the rest of the 'normal' players. Let's look at the salaries of All-Stars versus their average counterparts.

Getting Started

Prerequisites

You'll need to install:

Data Files

  • Master.csv - Full Set of Baseball Data
  • AllstarFull.csv - A CSV file of MLB All-Star Players
  • CollegePlaying.csv - A CSV file of MLB Players and their Colleges
  • Salaries.csv - A CSV file of MLB Players and their Salaries
  • Schools.csv - A CSV file of MLB Players and their School ID's

Python Notebook and Scripts

  • Baseball_Data-Analysis.ipynb - Main project file, the IPython notebook that contains the analysis.
  • baseball_data-audit.py - Audits the baseball data for cleanliness.

Opening the Jupyter Notebook

The project Baseball_Data-Analysis.ipynb can be read using a Jupyter Notebook. There's also an HTML version Baseball_Data-Analysis.html included for easier viewability.

  • Open your Command Prompt (PC) or terminal (Mac or Linux).
  • On a PC click the Start button and search for "Command Prompt".
  • On a Mac type command + spacebar. Then, type "terminal" in the Spotlight Search. You can also search for "terminal" in finder.
  • Navigate to the directory where you downloaded the Jupyter notebook file.
  • On a PC you might type: cd C:\Users\username\Downloads, replacing your username. Learn more about basic terminal commands.
  • On Mac or Linux you might type: cd ~/Downloads.
  • Run the command jupyter notebook Baseball_Data-Analysis.ipynb in your terminal.

Special Note

If you try running a code block in the notebook and get an error message like 'no module named matplotlib', then your distribution of Anaconda may be missing a package used in the project. That's okay, there's an easy way that you can install these packages. Google any missing library for easy to use guides on installation!

Authors

Licenses

Creative Commons License

Acknowledgments