Welcome to the Stranieri in Italia Shiny Application, designed to visualize and analyze ISTAT data on residents in Italy, categorized by citizenship and area of residence.
You can access the application online through this link: Stranieri in Italia - Shiny App
This application provides interactive insights into the distribution and demographics of foreign residents in Italy. The app is structured into three main sections:
- Statistics by Italian Location:
- View the most populated cities, regions, and municipalities by foreign residents.
- Understand the demographics of these areas and from which countries these residents originate.
- Statistics by Citizenship:
- Analyze data for specific cities or regions and discover the countries of origin of their residents.
- Gain insights into the foreign demographics of selected Italian locations.
- Reverse Lookup by Country:
- Given a country, identify where its citizens reside in Italy.
- View this information in terms of absolute numbers and proportions relative to the local population.
- Interactive Visualizations: Utilize plots and maps to explore and understand data.
- Dynamic Input Options: Select regions, municipalities, or countries of interest using interactive widgets.
- Proportional Analysis: Toggle between absolute numbers and population proportions to gain different perspectives.
To run this application locally, ensure you have R and the necessary libraries installed. Follow these steps:
- Clone the repository:
git clone https://github.com/erikdeluca/ISTAT-R.git
cd ISTAT-R- Install the required R packages:
install.packages(c("shiny", "shinydashboard", "shinycssloaders", "shinyWidgets", "tidyverse", "bsicons", "sass", "leaflet", "sf", "maps", "plotly", "countrycode", "eurostat", "janitor"))- Run the Shiny app:
shiny::runApp()
Contributions are welcome! Feel free to open issues or submit pull requests for improvements or bug fixes.
This project is licensed under the MIT License. See the LICENSE file for details.
This app utilizes the ISTAT data on residents in Italy and various R packages for data manipulation and visualization.