Best links of the week from 13th May to 19th May
- Super Simple Highlighter.
- naniar R package for handling missing data.
- Concepts of MCAR, MAR and MNAR (in the Flexible Imputation of Missing Data book by Stef van Buuren) at Stefan van Buuren’s website.
- What are some amazing human genetic mutations? at Quora.
- How brown eyed parents can have blue eyed kids? at Genetics – The Tech.
- How Blue Eyed Parents Can Have Brown Eyed Children at Genetics – The Tech.
- Code and slides for RStudio webinars at RStudio GitHub.
- RStudio Webinars.
- Grocery bills can predict diabetes rates by neighborhood at MIT Technology Reviews.
- What is the root cause of the class imbalance problem? Best answers: here and here at Cross Validated.
- Why we need to handle data imbalance? Best answer at Cross Validated.
- The first thing you should do to your data is to summarize it. Definitely, even before anything you can think of. Imported to R? Summarize it. Here you can find several functions (with descriptions) on how to do it. If you’re writing a report on your data, you should definitely check this link. Understanding your data is fundamental!
- Enrich your stories with charts, in seconds with Datawrapper.
- Pesquisa mapeia atuações individuais e em rede no uso de dados abertos do governo at CGU Notícias.