{"repo":"DhanushN2005/Demographic-analysis-for-uidai-data","free":true,"listed":false,"github":"https://github.com/DhanushN2005/Demographic-analysis-for-uidai-data","clone":"git clone https://github.com/DhanushN2005/Demographic-analysis-for-uidai-data.git","description":"Demographic data anlysis for uidai data using strimlit stastical dashboard","language":"Jupyter Notebook","stars":15,"topics":["dashboard","statistics","streamlit"],"license":null,"category":"dashboards-admin","readme_excerpt":"Demographic Analysis for UIDAI Data This repository contains a demographic analysis of Aadhaar (UIDAI) enrollment data using a Python Jupyter Notebook to explore trends and patterns in population attributes from the dataset. 🧠 Project Overview The goal of this project is to analyze demographic attributes such as age, gender, location, etc., from Aadhaar (UIDAI) data and derive meaningful insights and visualizations that help understand enrollment trends and demographic patterns in India. Aadhaar is India’s unique identity system that collects demographic and biometric information for over a billion residents. :contentReference[oaicite:0]{index=0} 📁 Repository Contents - Demographic analyssi.ipynb – A Jupyter Notebook that loads and analyzes the Aadhaar demographic dataset. - api data aadhar demographic 500000 1000000.csv – Sample anonymized Aadhaar demographic data used for analysis. 📦 Dependencies Install Python and the necessary packages: 🚀 How to Run Clone the repository: Navigate to the project directory: Launch Jupyter Notebook:","default_branch":null,"files":null,"tree":[],"storefront":"/r/DhanushN2005","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DhanushN2005/Demographic-analysis-for-uidai-data/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}