Posts

Data Science References
I am involved in several Data Science programs in both initial and continuing education. They differ depending on the audiences but the backbones are the same. In order to enjoy such programs, a basic knowledge in Math, Computer Science and Programming is required.
2025/04/16 14 min de lecture
From Parallel Plot to Radar Plot
ggplot2 provides a very elegant way to describe graphics. In this example, we will use its grammar to show how the parallel plot and the radar plots are related.
2025/02/10 3 min de lecture
Visualization Examples
A ggplot2 tour of good and bad visualization examples
2025/02/10 28 min de lecture
Supervised Classification: an Exploration with R and tidymodels
The aim of this file is to visualize the predictions of many classical models on a simple dataset:the twoClass dataset from Applied Predictive Modeling, the book of M. Kuhn and K.
2025/01/30 15 min de lecture
ggwordcloud (0.6.2): a word cloud geom for ggplot2
ggwordcloud provides a word cloud text geom for ggplot2. The placement algorithm implemented in C++ is an hybrid between the one of wordcloud and the one of wordcloud2.js. The cloud can grow according to a shape and stay within a mask.
2024/06/01 10 min de lecture
Supervised Classification: an Exploration with R
The twoClass dataset Statistical point of view Generative Modeling Logistic regression Kernel Methods Optimization point of view SVM NN Trees Model comparison Global comparison K-NN Comparison We will use the twoClass dataset from Applied Predictive Modeling, the book of M.
2019/07/01 11 min de lecture
Mathematical Genealogy
This is an attempt to build automatically a mathematical genealogy using the data from http://genealogy.math.ndsu.nodak.edu/. This is used as an example to show how easy it is to scrap data from the web and to graph beautiful trees with R.
2016/01/01 27 min de lecture