Roberto Palloni has a nice series of posts on using R to acquire data from the web
Differenceindifferences estimation in Stata
I created a short .do file comparing several ways of estimating a twoperiod differenceindifferences model in Stata.
Code can be found on my Github page.
New blog series from WinVector LLC on R, Spark, and big data
The WinVector LLC data science blog is starting a new series on using Spark and R to handle big data.
Our goal
What we want to do with the “
R
and big data” series is:

Give a taste of some of the power of the
R
/Spark
combination. 
Share a “capabilities and readiness” checklist you should apply when evaluating infrastructure.

Start to publicly document
R
/Spark
best practices. 
Describe some of the warts and how to work around them.

Share fun tricks and techniques that make working with
R
/Spark
much easier and more effective.
Network analysis in R: Game of Thrones
Modeling Game of Thrones family network ties in R. Discusses important network measures like centrality, degree, closeness, betweenness centrality, diameter, transitivity, and others.
Really cool!
Exporting Stata results and tables to Word, Tex
The University of North Carolina Population Center has a nice overview of ways to export Stata results to Word and other text processors.
Circular supply chains and rising costs
About half of global paper is made from recycled fiber, making pulp and paper one of the few industries currently achieving some degree of circularity.
However, even this industry is facing supply constraints due to evergrowing paper demand. When demand for recycled fiber increases, either profit margins on recycled paper made from that fiber go down or the price of recycled paper goes up. Both results challenge the circular supply chain.
These dynamics suggest the difficulty of deploying circular supply chains in other industries. Initial promises of lower supply costs can be challenged by increased demand for recycled paper or by coordination costs in organizing the circular supply chain.
Linear regression and machine learning
Example of linear regression using machine learning in R: https://datarvalue.blogspot.com/2017/05/machinelearninglinearregressionfull.html