https://github.com/tanay-dwivedi/india-census-data-analysis
This project involves analyzing demographic features and literacy rates across Indian districts using the comprehensive "India Census 2011" dataset to gain insights into socio-economic dynamics and inform targeted policy interventions.
https://github.com/tanay-dwivedi/india-census-data-analysis
census-data dataanalysis matplotlib-pyplot plotly-express python seaborn visualization
Last synced: about 1 month ago
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This project involves analyzing demographic features and literacy rates across Indian districts using the comprehensive "India Census 2011" dataset to gain insights into socio-economic dynamics and inform targeted policy interventions.
- Host: GitHub
- URL: https://github.com/tanay-dwivedi/india-census-data-analysis
- Owner: Tanay-Dwivedi
- Created: 2024-03-09T17:47:50.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-03-12T16:09:09.000Z (over 1 year ago)
- Last Synced: 2024-12-27T02:44:05.372Z (11 months ago)
- Topics: census-data, dataanalysis, matplotlib-pyplot, plotly-express, python, seaborn, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 922 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# India Census Data Analysis
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## Problem Statement
The **objective** of this project is to analyze the **demographic characteristics** and **literacy rates** across different **districts** in **India** using the "**India Census 2011**" dataset. The dataset provides information on various **demographic factors** such as **population**, **gender distribution**, **literacy rates**, **religious affiliations**, and **educational attainment** at the **district level**.
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## Identify the Data
The "[India Census 2011](https://github.com/Tanay-Dwivedi/India-Census-Data-Analysis/blob/master/census.csv)" dataset contains district-level information on demographic factors such as population, gender distribution, literacy rates, religious affiliations, and educational attainment. It serves as a valuable resource for understanding regional socio-economic dynamics and informing policy decisions aimed at promoting inclusive development.
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## Aim of the analysis
1. **Understanding Regional Dynamics:** The analysis aims to uncover variations in demographic features and literacy rates across Indian districts, providing insights into socio-economic disparities.
2. **Guiding Policy Formulation:** By identifying factors influencing literacy rates, the analysis aims to inform policymakers in crafting targeted interventions to address educational inequalities and promote literacy enhancement programs.
3. **Fostering Inclusive Development:** Ultimately, the goal is to contribute to India's socio-economic development by highlighting areas in need of attention and facilitating the effective allocation of resources for inclusive growth and development.
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