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https://github.com/touradbaba/women-parliament-representation-dashboard
A data visualization dashboard built with Dash and Plotly to explore women's representation in parliaments worldwide and is deployed on Heroku and PythonAnywhere.
https://github.com/touradbaba/women-parliament-representation-dashboard
dash dashboard data-visualization exploratory-data-analysis heroku heroku-deployment plotly pythonanywhere
Last synced: about 2 months ago
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A data visualization dashboard built with Dash and Plotly to explore women's representation in parliaments worldwide and is deployed on Heroku and PythonAnywhere.
- Host: GitHub
- URL: https://github.com/touradbaba/women-parliament-representation-dashboard
- Owner: TouradBaba
- Created: 2024-06-30T17:01:55.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-11-16T17:22:00.000Z (2 months ago)
- Last Synced: 2024-11-16T18:21:54.916Z (2 months ago)
- Topics: dash, dashboard, data-visualization, exploratory-data-analysis, heroku, heroku-deployment, plotly, pythonanywhere
- Language: Python
- Homepage: https://dash-app2-a77ab9dd53b7.herokuapp.com/
- Size: 6.59 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Women in Parliament Dashboard
This repository hosts a dashboard built with Dash and Plotly, designed to visualize global women's representation in parliaments.
You can access the live dashboard hosted on:
- [Heroku](https://dash-app2-a77ab9dd53b7.herokuapp.com/)
- [PythonAnywhere](https://touradb.pythonanywhere.com/)
Note: When accessing the app for the first time, figures may take up to 1-2 minutes to load. Reloading the page after this initial delay will ensure the figures appear correctly.
## Features
- Interactive map displaying women's representation data by country.
- Time series chart showing trends in women's representation over years for selected countries.
- Bar chart illustrating women's representation by region.
- Dropdown menu for detailed country-level data on women's representation.
- Built-in filtering and selection based on user interaction with the map.
- Deployed on Heroku and PythonAnywhere for easy accessibility.
## Data Sources
Data sourced from the United Nations Statistics Division (UNSD):
- [Seats held by women in Parliament](https://data.un.org/_Docs/SYB/CSV/SYB66_317_202310_Seats%20held%20by%20women%20in%20Parliament.csv)
## Repository Structure
```
women-parliament-representation-dashboard/
├── app.py
├── requirements.txt
├── data/
│ ├── cleaned_df.csv
│ └── regions_data.csv
├── images/
│ ├── dashboard_preview.png
│ ├── dashboard_preview2.png
│ ├── percentage_over_years.gif
│ └── regions_over_years.gif
├── data_preparation.ipynb
├── Procfile
├── .gitignore
└── .gitattributes
```
- **app.py**: Python script for running the Dash application.
- **requirements.txt**: List of Python dependencies required for the application.
- **data/**: Contains the datasets used in the dashboard.
- **cleaned_df.csv**: Dataset with cleaned data, including coordinates.
- **regions_data.csv**: Dataset specifically for regional data used in the bar chart.
- **images/**: Contains scrrenshots of the app.
- **dashboard_preview.png**: Preview image of the dashboard.
- **dashboard_preview.png2**: Preview image of the dashboard when selecting a country.
- **percentage_over_years.gif**: GIF that shows variations in percentage over the years.
- **regions_over_years.gif**: GIF that shows variations in regions over the years.
- **data_preparation.ipynb**: Jupyter notebook for data preparation and exploration.
- **Procfile**: File for deploying the app on Heroku.
- **.gitignore**: File to specify which files and directories to ignore.
- **.gitattributes**: File to specify attributes for Git.
## Visual Preview
### Percentage Over Years for Countries
### Dashboard Preview with Country Selection
### Percentage Over Years for regions
## Installation and Setup
To run the dashboard locally:
1. Clone this repository:
```
git clone https://github.com/TouradBaba/women-parliament-representation-dashboard.git
```
2. Navigate to the project directory:
```
cd women-parliament-representation-dashboard
```
3. Install dependencies:
```
pip install -r requirements.txt
```
4. Run the application:
```
python app.py
```
5. Open a web browser and go to `http://127.0.0.1:8050/` to view the dashboard.