---
slug: data-visualisation
title: Data Visualisation Project
type: Academic Project
description: An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations.
publishedAt: 2026-01-05
readingTime: 1
status: In progress
tags:
  - R
  - R Shiny
  - Data Visualization
  - ggplot2
icon: i-ph-chart-bar-duotone
---

::warning
The project is currently in progress, and more details will be added as development continues.
::

This project involves creating an interactive data visualization application using R and R Shiny. The goal is to develop dynamic and explorable visualizations that allow users to interact with the data in meaningful ways.

## 🛠️ Technologies & Tools

- **[R](https://www.r-project.org)**: A statistical computing environment, perfect for data analysis and visualization.
- **[R Shiny](https://shiny.rstudio.com)**: A web application framework for R that enables the creation of interactive web applications directly from R.
- **[ggplot2](https://ggplot2.tidyverse.org)**: A powerful R package for creating static and dynamic visualizations using the Grammar of Graphics.
- **[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.
- **[tidyr](https://tidyr.tidyverse.org)**: An R package for tidying data, making it easier to work with and visualize.
- **[tidyverse](https://www.tidyverse.org)**: A collection of R packages designed for data science that share an underlying design philosophy, grammar, and data structures.
- **[sf](https://r-spatial.github.io/sf/)**: An R package for working with simple features, providing support for spatial data manipulation and analysis.
- **[rnaturalearth](https://docs.ropensci.org/rnaturalearth/)**: An R package that provides easy access to natural earth map data for creating geographical visualizations.
- **[rnaturalearthdata](https://github.com/ropensci/rnaturalearthdata)**: Companion package to rnaturalearth containing large natural earth datasets.
- **[knitr](https://yihui.org/knitr/)**: An R package for dynamic report generation, enabling the integration of code and text.
- **[kableExtra](https://haozhu233.github.io/kableExtra/)**: An R package for customizing tables and enhancing their visual presentation.
- **[gridExtra](https://cran.r-project.org/web/packages/gridExtra/)**: An R package for arranging multiple grid-based plots on a single page.
- **[moments](https://cran.r-project.org/web/packages/moments/)**: An R package for computing moments, skewness, kurtosis and related statistics.
- **[factoextra](http://www.sthda.com/english/rpkgs/factoextra/)**: An R package for multivariate data analysis and visualization, including PCA and clustering methods.
- **[shinydashboard](https://rstudio.github.io/shinydashboard/)**: An R package for creating dashboards with Shiny.
- **[leaflet](https://rstudio.github.io/leaflet/)**: An R package for creating interactive maps using the Leaflet JavaScript library.
- **[plotly](https://plotly.com/r/)**: An R package for creating interactive visualizations with the Plotly library.
- **[RColorBrewer](https://cran.r-project.org/web/packages/RColorBrewer/)**: An R package providing color palettes for maps and other graphics.
- **[DT](https://rstudio.github.io/DT/)**: An R package for creating interactive data tables.

## 📚 Resources

You can find the code here: [Data Visualisation Code](https://go.arthurdanjou.fr/datavis-code)  

And the online application here: [Data Visualisation App](https://go.arthurdanjou.fr/datavis-app)

## 📄 Detailed Report

<iframe src="/projects/datavis.pdf" width="100%" height="1000px">
</iframe>