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54 lines
3.7 KiB
Markdown
54 lines
3.7 KiB
Markdown
---
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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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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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::warning
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The project is currently in progress, and more details will be added as development continues.
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::
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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.
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## 🛠️ Technologies & Tools
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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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## 📚 Resources
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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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## 📄 Detailed Report
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<iframe src="/projects/datavis.pdf" width="100%" height="1000px">
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</iframe> |