Baseball Data Wrangling with Vagrant, R, and Retrosheet

Baseball Data Wrangling with Vagrant, R, and Retrosheet, available at Free, has an average rating of 4.35, with 28 lectures, based on 167 reviews, and has 12998 subscribers.

You will learn about install VirtualBox and Vagrant run a virtual Linux machine install the Chadwick software tools extract game and play-by-play baseball data from Retrosheet files produce graphs with ggplot This course is ideal for individuals who are This course is for those interested in doing baseball analytics with Retrosheet files. or No background is needed for the first part of the course. A background in the R package dplyr is necessary to follow the second part of the course. It is particularly useful for This course is for those interested in doing baseball analytics with Retrosheet files. or No background is needed for the first part of the course. A background in the R package dplyr is necessary to follow the second part of the course.

Enroll now: Baseball Data Wrangling with Vagrant, R, and Retrosheet

Summary

Title: Baseball Data Wrangling with Vagrant, R, and Retrosheet

Price: Free

Average Rating: 4.35

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

install VirtualBox and Vagrant
run a virtual Linux machine
install the Chadwick software tools
extract game and play-by-play baseball data from Retrosheet files
produce graphs with ggplot

Who Should Attend

This course is for those interested in doing baseball analytics with Retrosheet files.
No background is needed for the first part of the course. A background in the R package dplyr is necessary to follow the second part of the course.

Target Audiences

This course is for those interested in doing baseball analytics with Retrosheet files.
No background is needed for the first part of the course. A background in the R package dplyr is necessary to follow the second part of the course.

This course is for those interested in doing baseball analytics with the Retrosheet game-by-game and play-by-play data. The main tools for working with such data are in the Chadwick software. We install a virtual Linux machine, on which we will install the Chadwick software. We will then learn how to extract baseball data with the Chadwick software, how to further filter the data with dplyr in R, and how to plot our results with ggplot.

For the first part of the course, in which we install the virtual Linux machine and learn how to work with the Chadwick software, there are no prerequisites. To follow the second part of the course, knowledge of dplyr is necessary. This can be obtained through my course "Baseball Database Queries with SQL and dplyr".

At a relaxed pace, the course should take two to three weeks to complete.

Course Curriculum

Chapter 1: Setting up Vagrant

Lecture 1: Introduction

Lecture 2: Installing VirtualBox

Lecture 3: Installing Vagrant

Lecture 4: Creating a Project Folder

Lecture 5: Vagrant Up

Lecture 6: Directory Structure

Chapter 2: Installing and Working with the Chadwick Software

Lecture 1: Downloading the Chadwick Software

Lecture 2: Installing the Chadwick Software

Lecture 3: The Retrosheet Files

Lecture 4: cwevent and cwgame

Chapter 3: Project #1: Mike Schmidt and Greg Luzinski

Lecture 1: Data Extraction

Lecture 2: Reading our data into R

Lecture 3: The Result Column

Lecture 4: The Date Column

Lecture 5: The Date Column Part II

Lecture 6: The Player Data Frames

Lecture 7: ggplot Crash Course

Lecture 8: Cumulative Home Run Plots

Lecture 9: Colors and Legend

Chapter 4: Project #2: Dykstra, Murray, and Brett

Lecture 1: Project Description

Lecture 2: Data Extraction

Lecture 3: Reading the data into R

Lecture 4: The Date Column

Lecture 5: The Result and AB Columns

Lecture 6: The Player Data Frames

Lecture 7: The Plots

Lecture 8: The Four-Hundred Line

Lecture 9: The Marchi/Albert Book and Course Wrap-Up

Instructors

Charles Redmond
Professor at Mercyhurst University

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 45 votes
5 stars: 107 votes

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