During my research visit at Notre Dame University I had the pleasure to participate in Hadley Wickham’s lecture Welcome to the Tidyverse and meet Hadley in person. Hadley’s talks are always well-structured and worth listening.
Hadley Wickham has been a prime mover in releasing R upon the masses, enabling hordes of unsuspecting would-be researchers to process and visualize data in ways they never dreamed of. The tidyverse, the culmination of years of effort in the R language, is a universe of packages that facilitate a grammar of data, graphics, and modeling that allows even beginners to speak the language of data science fluently.
Here is a selection of my Data Science and Programming skills and tools that turned out to be helpful in my work and I believe are important for any Data Scientist as well. The last update of this post was done: 2018-01-24. Data Science Skills Data Manipulation
Efficient data manipulation in R; dplyr, data.table, reshape2. Working with dates and time-series; lubridate, xts.
RStudio IDE, Markdown, LaTeX;
Version: 1.2 The last update of this post: 2018-01-24. Below is a checklist that I wrote for my own purposes. I helps me to be sure that I did what I should have done before release a new version of R package to CRAN. Maybe it will also help others. See what new Hadley recommends: (http://r-pkgs.had.co.nz/release.html). Update R & packages: R all packages RStudio (stable or preview version).
Update your package: Check unit tests.