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fix: supprimer le fichier de projet "Data Visualisation Project"
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---
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slug: data-visualisation
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title: Data Visualisation Project
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type: Academic Project
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description: An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations.
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shortDescription: An interactive data visualization project using R and R Shiny.
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publishedAt: 2026-01-05
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readingTime: 1
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status: Completed
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tags:
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- R
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- R Shiny
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- Data Visualization
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- ggplot2
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icon: i-ph-chart-bar-duotone
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---
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This project involves building an interactive data visualization application using R and R Shiny. The goal is to deliver dynamic, explorable visualizations that let users interact with the data in meaningful ways.
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::BackgroundTitle{title="Technologies & Tools"}
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::
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- **[R](https://www.r-project.org)**: A statistical computing environment, perfect for data analysis and visualization.
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- **[R Shiny](https://shiny.rstudio.com)**: A web application framework for R that enables the creation of interactive web applications directly from R.
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- **[ggplot2](https://ggplot2.tidyverse.org)**: A powerful R package for creating static and dynamic visualizations using the Grammar of Graphics.
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- **[dplyr](https://dplyr.tidyverse.org)**: An R package for data manipulation, providing a consistent set of verbs to help you solve common data manipulation challenges.
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- **[tidyr](https://tidyr.tidyverse.org)**: An R package for tidying data, making it easier to work with and visualize.
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- **[tidyverse](https://www.tidyverse.org)**: A collection of R packages designed for data science that share an underlying design philosophy, grammar, and data structures.
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- **[sf](https://r-spatial.github.io/sf/)**: An R package for working with simple features, providing support for spatial data manipulation and analysis.
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- **[rnaturalearth](https://docs.ropensci.org/rnaturalearth/)**: An R package that provides easy access to natural earth map data for creating geographical visualizations.
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- **[rnaturalearthdata](https://github.com/ropensci/rnaturalearthdata)**: Companion package to rnaturalearth containing large natural earth datasets.
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- **[knitr](https://yihui.org/knitr/)**: An R package for dynamic report generation, enabling the integration of code and text.
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- **[kableExtra](https://haozhu233.github.io/kableExtra/)**: An R package for customizing tables and enhancing their visual presentation.
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- **[gridExtra](https://cran.r-project.org/web/packages/gridExtra/)**: An R package for arranging multiple grid-based plots on a single page.
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- **[moments](https://cran.r-project.org/web/packages/moments/)**: An R package for computing moments, skewness, kurtosis and related statistics.
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- **[factoextra](http://www.sthda.com/english/rpkgs/factoextra/)**: An R package for multivariate data analysis and visualization, including PCA and clustering methods.
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- **[shinydashboard](https://rstudio.github.io/shinydashboard/)**: An R package for creating dashboards with Shiny.
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- **[leaflet](https://rstudio.github.io/leaflet/)**: An R package for creating interactive maps using the Leaflet JavaScript library.
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- **[plotly](https://plotly.com/r/)**: An R package for creating interactive visualizations with the Plotly library.
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- **[RColorBrewer](https://cran.r-project.org/web/packages/RColorBrewer/)**: An R package providing color palettes for maps and other graphics.
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- **[DT](https://rstudio.github.io/DT/)**: An R package for creating interactive data tables.
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::BackgroundTitle{title="Resources"}
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::
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You can find the code here: [Data Visualisation Code](https://go.arthurdanjou.fr/datavis-code)
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And the online application here: [Data Visualisation App](https://go.arthurdanjou.fr/datavis-app)
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::BackgroundTitle{title="Detailed Report"}
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::
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<iframe src="/projects/datavis.pdf" width="100%" height="1000px">
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</iframe>
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100
content/projects/dataviz-tuberculose.md
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content/projects/dataviz-tuberculose.md
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---
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slug: dataviz-tuberculose
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title: Monitoring & Segmentation of Tuberculosis Cases
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type: Academic Project
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description: An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations.
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shortDescription: An interactive data visualization project using R and R Shiny.
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publishedAt: 2026-01-05
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readingTime: 1
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status: Completed
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tags:
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- R
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- R Shiny
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- Data Visualization
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- ggplot2
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icon: i-ph-chart-bar-duotone
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---
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Interactive Shiny dashboard for WHO tuberculosis data analysis and clustering.
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::BackgroundTitle{title="Overview"}
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::
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This project provides an interactive visualization tool for monitoring and segmenting global tuberculosis data from the World Health Organization (WHO). It applies multivariate analysis to reveal operational typologies of global health risks.
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**Author:** Arthur Danjou
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**Program:** M2 ISF - Dauphine PSL
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**Course:** Data Visualisation (2025-2026)
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::BackgroundTitle{title="Features"}
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::
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- Interactive world map with cluster visualization
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- K-means clustering for country segmentation (Low/Moderate/Critical Impact)
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- Time series analysis with year selector (animated)
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- Region filtering by WHO regions
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- Key Performance Indicators (KPIs) dashboard
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- Raw data exploration with data tables
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::BackgroundTitle{title="Project Structure"}
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::
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```
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├── app.R # Shiny application
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├── NoticeTechnique.Rmd # Technical report (R Markdown)
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├── NoticeTechnique.pdf # Compiled technical report
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├── data/
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│ ├── TB_analysis_ready.RData # Processed data with clusters
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│ └── TB_burden_countries_2025-12-09.csv # Raw WHO data
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└── renv/ # R package management
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```
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::BackgroundTitle{title="Requirements"}
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::
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- R (>= 4.0.0)
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- R packages (see `renv.lock`):
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- shiny
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- shinydashboard
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- leaflet
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- plotly
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- dplyr
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- sf
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- RColorBrewer
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- DT
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- rnaturalearth
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::BackgroundTitle{title="Installation"}
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::
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1. Clone this repository
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2. Open R/RStudio in the project directory
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3. Restore packages with `renv::restore()`
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4. Run the application:
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```r
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shiny::runApp("app.R")
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```
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::BackgroundTitle{title="Live Demo"}
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::
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- **Application:** https://go.arthurdanjou.fr/datavis-app
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- **Source Code:** https://go.arthurdanjou.fr/datavis-code
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::BackgroundTitle{title="Detailed Report"}
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::
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<iframe src="/projects/datavis.pdf" width="100%" height="1000px">
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</iframe>
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::BackgroundTitle{title="License"}
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::
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© 2026 Arthur Danjou. All rights reserved.
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::BackgroundTitle{title="Resources"}
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::
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You can find the code here: [Data Visualisation Code](https://go.arthurdanjou.fr/datavis-code)
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And the online application here: [Data Visualisation App](https://go.arthurdanjou.fr/datavis-app)
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