Condensing a data set by using Principal Component Analysis.

Similarity between observations, measuring and visualizing them with MDS and a t-SNE.

Interpretating data sets with multiple variables in a two dimensional plot.

Are there differences? Are variables associated? Is it significant? Choosing, executing and interpreting statistical tests.

A sentiment analysis for Alice's Adventures in Wonderland using the tidytext, gutenbergr and ggplot libraries.

Geographical data plotting by using raster maps plots, and 'prettifying' it by adding a Google map layer.

Networked and hierarchical data plotting, using the ggraph package.

Standardizing your setup for R projects.

Standardizing your data-processing flow.

Splitting and/or combining files.... Nothing more.

Exploring and condensing a data set by using Barnes-Hut t-SNE.

Choosing and executing different clustering methods, and using it within the tidy framework.

Identifying the extent of your missing value problems, and ways to fix them.