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 extract, transform and load for MLBAM “Gameday” data. The package is optimized for parallel processing of data that may ...

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 extract, transform and load for MLBAM “Gameday” data. The package is op...

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 optimized for parallel processing of data that may be larger than memory. There are other packages in the R universe that ...

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 optimized for parallel processing of data that may be la...

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 for use within the tidyverse as of the current ...

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 when making wOBA calculations. In th...

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 been around for several years, and is a great resource, however it lacks consi...

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 been around for several years, and is a great resource, however it lacks consi...

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 can be found on the BLS Databases, Tables & Calculations website. The selec...

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 for a certain county. The code below pulls the unemployment rates...

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 for a certain county. The code below pulls the unemployment rates...

Since the first publication of this post, a couple of packages have emerged to automate this process. The installr package for Windows and the updateR package for OS X are particularly good. However, this continues to be a popular post, so I have decid...