This post will cover the final steps of assembling the FRED data. If you didn’t catch the first part, check it out here. I also have a PDF copy of this post for viewing. Overview: Picking up from last time I have all the metadata and the data itself. However, all that data is floating […]Read more "R, FRED, and the 2016 Texas Primary: Part 2"
404 = Not Found This is a “client side” error – indicating that you, the individual sending a request to a server, have made some kind of error. In my most recent run-in with this error, I scraped 10,000+ links in order to downloaded image files using download.file(). Over a thousand of the links were […]Read more "404 Error Handling with R’s download.file()"
I created a PDF knitr version of this post if you’d like to view that instead. Intro Rig count data can be found at Baker Hughes’ website. However, some state regulators have readily available rig count data. North Dakota is one such state. In this post, I am going to briefly go over how we […]Read more "Scraping and Mapping North Dakota Rig Counts with R"
Getting things done According to data from the Federal Reserve, it looks like the industrial capacity (the ability to do work) of the oil and gas industry peaked in November 2015. The data for oil and gas industrial capacity stretches back to the early 1970’s. This time it was different What I find interesting in this […]Read more "Has Oil and Gas Industrial Capacity Peaked?"
I’m going to focus on scraping the FRED data in this post. You can keep up with my the code by exploring my TexasPrimary2016 GitHub repo. Why? I want to add some data to my earlier analysis of the 2016 Texas Primary. The Federal Reserve’s Economic Data (FRED) website has hundreds of thousands of datasets […]Read more "R, FRED, and the 2016 Texas Primary: Part 1"