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Ajout de sections pour la visualisation des données et RShiny dans le README

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Arthur Danjou
2025-10-14 11:41:19 +02:00
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@@ -29,6 +29,7 @@ The projects are organized into two main sections:
- `Statistical Learning` - `Statistical Learning`
- `M2` - `M2`
- `Data Visualisation`
- `Linear Models` - `Linear Models`
- `Machine Learning` - `Machine Learning`
- `Risks Management` - `Risks Management`
@@ -50,4 +51,5 @@ The projects are organized into two main sections:
- [RMarkdown](https://rmarkdown.rstudio.com): A dynamic tool for combining code, results, and narrative into high-quality documents and presentations. - [RMarkdown](https://rmarkdown.rstudio.com): A dynamic tool for combining code, results, and narrative into high-quality documents and presentations.
- [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA). - [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA).
- [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R. - [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R.
- [RShiny](https://shiny.rstudio.com): A web application framework for building interactive web apps directly from R.
- and my 🧠. - and my 🧠.