https://github.com/vavarm/data-analysis-french-electric-automobile-infrastructure

Data analysis realized in R Shiny and Python about the French electric vehicle and charging station infrastructure
https://github.com/vavarm/data-analysis-french-electric-automobile-infrastructure

data-analysis data-science data-visualization factominer geojson ggplot2 plotly python r rshiny

Last synced: about 2 months ago
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Data analysis realized in R Shiny and Python about the French electric vehicle and charging station infrastructure

• Host: GitHub
• URL: https://github.com/vavarm/data-analysis-french-electric-automobile-infrastructure
• Owner: vavarm
• License: gpl-3.0
• Created: 2024-01-29T20:56:57.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-29T21:23:06.000Z (over 1 year ago)
• Last Synced: 2025-01-20T21:13:00.807Z (4 months ago)
• Topics: data-analysis, data-science, data-visualization, factominer, geojson, ggplot2, plotly, python, r, rshiny
• Language: HTML
• Homepage:
• Size: 14.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data analysis French electric automobile infrastructure

Data analysis project realized in **R Shiny** and **Python** by students of Polytech Montpellier.

The subject is: **French electric vehicle and charging station infrastructure**.

The problem is: How is France's automotive electrical infrastructure progressing? Is it sufficient to enable a complete switch to electric vehicles? Are the players in the electric sector moving in this direction?

## Report

The project report (in French) can be found at: [Report](Rapport_IORI_PAGEAU_RACAUD–MINUZZI_ROBERT.pdf)

## Dashboard

The dashboard of the project can be accessed here: [Shiny Apps dashboard](https://projet-data-science.shinyapps.io/projet_data_science/)

## Run the dashboard locally

- Clone the project

- In **R Studio** open the project ```Projet Data Science.Rproj``` and install the following packages:

  - ```shiny```

  - ```shinyWidgets```

  - ```plotly```

  - ```ggplot2```

  - ```FactoMineR```

  - ```factoextra```

- Run the Shiny App ```index.R```