## Impairments in Shale – Scraping SEC filings with R

In this post we will dig deeper into SEC filings with R, this time focusing on shale impairments over time.

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## Impairments in Shale – Scraping SEC filings with R

## Financial Statements in R – DVN Income Statement Example

## Analyzing Tweets with R – Friday Night Rollcall 09/25/2020

## Heat Maps in R – Bakken Edition

## Tracking Capex in the Eagle Ford – Karnes Trough Edition

## Analyzing Tweets with R – Friday Night Rollcall 09/18/2020

## Frac Ban in the Permian (Maps in R)

## Oil & Gas Coding with Python (part 3)

## Automate Your Download of Baker Hughes Rig Count Data (in R)

## Analyzing Tweets with R – Friday Night Rollcall Edition

In this post we will dig deeper into SEC filings with R, this time focusing on shale impairments over time.

R contains methods to extract financial statment data from SEC filings. In this insight, I pull down Devon’s Q2 2020 income statement.

Each week Kenny Lay helps us forget our shale troubles with the weekly rollcall on Twitter. Let’s analyze the network with R.

Heat maps are very valuable visual tools and only require data and imagination. I’ll work through an example using R for the Bakken.

How have costs in the Karnes Trough of the Eagle Ford been trending? We dig deeper using the AFE Leaks dataset.

Let’s dig in to EFT’s Friday Night Rollcall using the rtweet package in R.

With the election coming, attention has turned to a potential frac ban on Federal Lands. In this insight, I use R and public data to quantify the impact.

Part 3 in our series on using Python to perform common oil and gas calculations.

In this insight, I walk through how to automatically download the Baker Hughes weekly rig count spreadsheet in R and analyze the data.

Let’s dig in to EFT’s Friday Night Rollcall using the rtweet package in R.