Automated Data Collection with R and mlbgameday
Opening day is on the way Time to set up a persistent database to collect every pitch thrown in this year’s baseball season. The mlbgameday package is designed to facilitate...continue reading.
Author: Data Science Riot!
Parallel Processing Baseball Data with R and mlbgameday
Just In Time For Baseball The mlbgameday package has just reached the milestone of version 0.1.0. Designed to facilitate extract, transform and load for MLBAM “Gameday” data. The package is...continue reading.
Tidyer BLS data with the blscarpeR package
The recent release of the blscrapeR package brings the “tidyverse” into the fold. Inspired by my recent collaboration with Kyle Walker on his excellent tidycensus package, blscrapeR has been optimized...continue reading.
American vs. National League wOBA Vales.
Traditionally, statistics like wOBA (weighted on-base average) have been calculated using league averages. While building the baseballDBR package, I thought it would be interesting to group the American and National...continue reading.
Creating a Baseball Database with baseballDBR
My original motivation to write the baseballDBR package for R was to provide a quick and easy way to have access to Sean Lahman’s Baseball Database. The Lahman package has...continue reading.
Shiny Server on Docker: CentOS 7 Edition
Docker is generally used for application development and deployment. While it is possible to develop and deploy Shiny applications in Docker containers, I have found it is much more useful...continue reading.
Calculate Inflation with the blscrapeR Package
The Consumer Price Index (CPI) is the main standard for tracking the inflation of the U.S. dollar. The various CPI measures are published monthly by the Bureau of Labor Statistics....continue reading.
Mapping County Unemployment with blscrapeR
The blscrapeR package makes it easy to produce choropleth maps of various employment and unemployment rates from the Bureau of Labor Statistics (BLS.) It’s easy enough to pull a metric...continue reading.
Calculate Wages and Benefits with blscrapeR
The most difficult thing about working with BLS data is gaining a clear understanding on what data are available and what they represent. Some of the more popular data sets...continue reading.
