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slug, title, type, description, publishedAt, readingTime, status, tags, icon
| slug | title | type | description | publishedAt | readingTime | status | tags | icon | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| data-visualisation | Data Visualisation Project | Academic Project | An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations. | 2026-01-05 | 1 | Completed |
|
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::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: A statistical computing environment, perfect for data analysis and visualization.
- R Shiny: A web application framework for R that enables the creation of interactive web applications directly from R.
- ggplot2: A powerful R package for creating static and dynamic visualizations using the Grammar of Graphics.
- dplyr: An R package for data manipulation, providing a consistent set of verbs to help you solve common data manipulation challenges.
- tidyr: An R package for tidying data, making it easier to work with and visualize.
- tidyverse: A collection of R packages designed for data science that share an underlying design philosophy, grammar, and data structures.
- sf: An R package for working with simple features, providing support for spatial data manipulation and analysis.
- rnaturalearth: An R package that provides easy access to natural earth map data for creating geographical visualizations.
- rnaturalearthdata: Companion package to rnaturalearth containing large natural earth datasets.
- knitr: An R package for dynamic report generation, enabling the integration of code and text.
- kableExtra: An R package for customizing tables and enhancing their visual presentation.
- gridExtra: An R package for arranging multiple grid-based plots on a single page.
- moments: An R package for computing moments, skewness, kurtosis and related statistics.
- factoextra: An R package for multivariate data analysis and visualization, including PCA and clustering methods.
- shinydashboard: An R package for creating dashboards with Shiny.
- leaflet: An R package for creating interactive maps using the Leaflet JavaScript library.
- plotly: An R package for creating interactive visualizations with the Plotly library.
- RColorBrewer: An R package providing color palettes for maps and other graphics.
- DT: An R package for creating interactive data tables.
📚 Resources
You can find the code here: Data Visualisation Code
And the online application here: Data Visualisation App