This Streamlit application provides an interactive dashboard for analyzing household data from various regions in India. The dashboard includes data filtering, bar charts, scatter plots, and geographic visualization capabilities.

• Data Selection: Choose between different household datasets (Gosaba 1, Gosaba 2, and Pathar)
• Data Filtering: Filter data based on categorical columns
• Bar Chart Analysis: Create bar charts to analyze relationships between categorical and numeric variables
• Scatter Plot Analysis: Visualize relationships between numeric variables
• Geographic Analysis: Interactive map visualization with color-coded data points

1. Clone this repository:

git clone https://github.com/akvo/oak-india.git
cd oak-india

2. Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

3. Install the required packages:

pip install -r requirements.txt

To run the application, use the following command:

streamlit run app.py

The app will open in your default web browser at http://localhost:8501.

1. Data Selection: Use the sidebar to select the dataset you want to analyze
2. Data Filter: Use the "Data Filter" tab to filter data based on categorical columns
3. Bar Chart: Create bar charts by selecting categorical and numeric columns
4. Scatter Plot: Create scatter plots by selecting numeric columns for X and Y axes
5. Map: Visualize data geographically by selecting a column to color-code the points

The application uses data from the following sources:

• Household data from Gosaba 1
• Household data from Gosaba 2
• Household data from Pathar
• Village boundaries GeoJSON data

All data is loaded directly from the GitHub repository.

See requirements.txt for a complete list of dependencies.