The amount of data oil and gas professionals are exposed to is massive. Almost too much at times. Our goal at Shale Insights is to show you how to use that data to get a leg up on your competition and to make you a much more valuable employee to any organization.
Being a coder does not mean writing massive scripts, though it can be if you go that route. Another use is investigating and manipulating data. We will focus on the latter. Think of it as excel on steroids, which can run automatically in the background while you do something else.
Through insights, tutorials, and courses, we will show you how to use common R and Python libraries/methodologies to generate insights and improve your analysis and efficiency, all in the context of an Oil and Gas setting.
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As annual proxy filings start making their way into the stratosphere, I thought it would be a good time to run through how to scrape them in R.
This one comes at us from an anonymous member of #EFT, who I will just call Mr EFT. Mineral Adventure Oklahoma is a weird place (my family is actually from there so can confirm). A lot of really crazy backwoods characters. Also a lot of fractured mineral interests floating around, so tracking them down can …
Inspired by the @StreetBomber story on the Chuck Yates Needs A Job podcast, I thought it may be fun to start a thread on everyone’s fun workplace stories. So I’ll give it a go first. To keep it going, just reach out to me on Twitter and we can discuss, or send me the story …