NFHS-4 Data Analysis Dashboard

Overview

This repository contains a Streamlit dashboard that analyzes data from the National Family Health Survey (NFHS-4) conducted in India. The dashboard explores relationships between education, fertility patterns, and demographic characteristics across urban and rural areas.

Features

• Interactive Dashboard: Multi-tab interface with key statistics and visualizations
• Education Analysis: Visualizations of education levels and distribution by residence
• Fertility Patterns: Analysis of the relationship between education and number of children
• Demographics: Age distribution and BMI analysis (where available)
• Data Explorer: Interactive tool to filter data and create custom visualizations

Data

The dashboard uses data from the National Family Health Survey (NFHS-4), which includes information on:

• Type of residence (urban/rural)
• Education levels (in years)
• Number of children
• Age of respondents
• BMI (Body Mass Index) where available

Key Insights

• Significant education gap between urban and rural areas
• Strong negative correlation between education and number of children
• Rural women have higher fertility rates compared to urban women
• Education levels are a strong predictor of fertility patterns

Technical Details

The dashboard is built using:

• Streamlit for the web application framework
• Pandas for data manipulation
• Plotly for interactive visualizations
• Matplotlib and Seaborn for statistical visualizations

Deployment Instructions

Local Deployment

1. Clone this repository
2. Install the required packages:

   pip install -r requirements.txt
   

3. Run the Streamlit app:

   streamlit run nfhs_dashboard.py
   

Streamlit Cloud Deployment

1. Fork this repository to your GitHub account
2. Sign in to Streamlit Cloud
3. Create a new app and select the forked repository
4. Set the main file path to nfhs_dashboard.py
5. Deploy!

File Structure

• nfhs_dashboard.py: Main Streamlit application
• NFHS 4 Data.csv: Dataset containing NFHS-4 survey data
• requirements.txt: Required Python packages
• README.md: This documentation

License

This project is available for educational and research purposes.