Hey everybody,
after a short summer break we are ready to emerge from several weeks in the doldrums 🙂
If you are working with large data sets stored in .csv format, the files are likely to comprise hundreds of MB or several GB of data.
Importing these csv files using the common read.csv or
Hello there!
Welcome to the first part of my series on data management with R. Today I am going to introduce the {tidyr} package that is used to prepare and clean data before further transformation steps are applied. Its main purpose is to make the underlying information more accessible and easier
Hey!
It`s been a while, since my last post on data management with tidyr.
Today I would like to go one step further and finally introduce you to the dplyr package from RStudio.
This post is a summary of the webinar on Data wrangling with R and RStudio, so if you want
Hey folks,
in the upcoming weeks I would like to talk about data management in R. I will show you how to tidy, transform and visualise your data using three popular and powerful data management packages: tidyr, dplyr and ggvis. This is what you can expect in the next weeks:
In