{"id":18614592,"url":"https://github.com/tanay-dwivedi/india-census-data-analysis","last_synced_at":"2026-04-17T13:32:35.152Z","repository":{"id":227318524,"uuid":"769661853","full_name":"Tanay-Dwivedi/India-Census-Data-Analysis","owner":"Tanay-Dwivedi","description":"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.","archived":false,"fork":false,"pushed_at":"2024-03-12T16:09:09.000Z","size":944,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-30T13:37:22.232Z","etag":null,"topics":["census-data","dataanalysis","matplotlib-pyplot","plotly-express","python","seaborn","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Tanay-Dwivedi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-03-09T17:47:50.000Z","updated_at":"2024-03-12T16:10:50.000Z","dependencies_parsed_at":"2024-03-12T18:42:28.535Z","dependency_job_id":null,"html_url":"https://github.com/Tanay-Dwivedi/India-Census-Data-Analysis","commit_stats":null,"previous_names":["tanay-dwivedi/india-census-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Tanay-Dwivedi/India-Census-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FIndia-Census-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FIndia-Census-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FIndia-Census-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FIndia-Census-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tanay-Dwivedi","download_url":"https://codeload.github.com/Tanay-Dwivedi/India-Census-Data-Analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FIndia-Census-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31931367,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-17T12:37:54.787Z","status":"ssl_error","status_checked_at":"2026-04-17T12:37:25.095Z","response_time":62,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["census-data","dataanalysis","matplotlib-pyplot","plotly-express","python","seaborn","visualization"],"created_at":"2024-11-07T03:26:08.361Z","updated_at":"2026-04-17T13:32:35.134Z","avatar_url":"https://github.com/Tanay-Dwivedi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# India Census Data Analysis\n-----\n\n## Problem Statement\n\nThe **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**.\n\n-----\n\n## Identify the Data\n\nThe \"[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.\n\n-----\n\n## Aim of the analysis\n\n1. **Understanding Regional Dynamics:** The analysis aims to uncover variations in demographic features and literacy rates across Indian districts, providing insights into socio-economic disparities.\n\n2. **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.\n\n3. **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.\n\n-----","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanay-dwivedi%2Findia-census-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftanay-dwivedi%2Findia-census-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanay-dwivedi%2Findia-census-data-analysis/lists"}