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In this tutorial we’ll work with the ChickWeight data. This database exhibits information on chickens’ weights according to 4 different …

Although I’m a big fan of the tidyverse philosophy of handling and wrangling data, one must admit that there are quit powerful …

Summary To get a first idea about a certain dataframe’s statistical metrics, there is of course the well known summary() function : …

In my tutorials, I prefer to work with the mtcars data set (DST) because I find it pretty straightforward. Nonetheless, one may be …

The janitor package in an excellent tool for cleaning a messy database and summarize information. We’ve all heard that data analysts …

case_when() is a dplyr function that returns a value according to predifined conditions. It’s a very powerful function though not very …

In this tutorial, we’ll analyze the French CAC 40 stocks. Listed CAC 40 firms can be found at the Yahoo Finance website. Getting the …

Mapping with R is a real joy. To see some examples, we’ll rely on the maps package. Mapping the World Getting the longitude and …

Tensors Definition Ever wandered why one of the most used Deep Learning library, Tenserflow is called that way ? the name came from the …

The ggplot2 package integrates the tidy philosophy of programming introduced mainly by Hadley Wickham. It is part of the tidyverse …