Intro Setup Fundamentals Extensions Endgame Wrap-up Intro The tidyverse “many models” approach was formally introduced in the first edition of R for Data Science (R4DS) in 2017. Since then, the tidyverse has evolved significantly, and along with it, the way we can harness the many models approach. This blog post ... [Read more...]

Intro Basic Web Scraping Advanced Web Scraping Wrap-up Intro Welcome to this blog post where we’re going to explore web scraping in R. So far, I’ve used R for some basic web scraping jobs, like pulling the list of all available R packages... [Read more...]

Intro Idea & History & Collaboration Main Features A Glimpse under the Hood Wrap-up Intro In the last weeks I have put together a small R package {hugodownplus} which extends {hugodown} - the package which powers the blog posts of this and other #RStats Hugo websites. {hugodownplus} offers a drop-in replacement for ... [Read more...]

Intro Setup base R ‘data․table’ dplyr pandas Wrap-up Intro Sorting rows in a data.frame is generally considered a straightforward task, which it mostly is - until it isn’t. It seems that the operation of ordering rows doesn’t get much attention in introductory books on data science. ... [Read more...]

Intro Setup base R data․table dplyr (tidyverse) Python pandas Intro Usually data sets come with short column names, which makes it easy to clean and manipulate the data. However, when presenting the data to stakeholders, in form of tables or plots, w... [Read more...]