{"id":23527356,"url":"https://github.com/arv-anshul/india-census-2011","last_synced_at":"2026-05-06T10:39:52.702Z","repository":{"id":154808389,"uuid":"594461342","full_name":"arv-anshul/India-census-2011","owner":"arv-anshul","description":"I made a dashboard with India's 2011 census data with streamlit, python.","archived":false,"fork":false,"pushed_at":"2023-08-12T05:25:55.000Z","size":723,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-07T02:51:10.583Z","etag":null,"topics":["census-data","dashboard","india-census","python3","streamlit"],"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/arv-anshul.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,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2023-01-28T16:17:37.000Z","updated_at":"2023-01-28T16:24:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"dcfa6e36-8135-4465-97c4-cced2bf55329","html_url":"https://github.com/arv-anshul/India-census-2011","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/arv-anshul/India-census-2011","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arv-anshul%2FIndia-census-2011","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arv-anshul%2FIndia-census-2011/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arv-anshul%2FIndia-census-2011/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arv-anshul%2FIndia-census-2011/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arv-anshul","download_url":"https://codeload.github.com/arv-anshul/India-census-2011/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arv-anshul%2FIndia-census-2011/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32689661,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T08:33:17.875Z","status":"ssl_error","status_checked_at":"2026-05-06T08:33:17.221Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: 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","dashboard","india-census","python3","streamlit"],"created_at":"2024-12-25T20:14:04.204Z","updated_at":"2026-05-06T10:39:52.672Z","avatar_url":"https://github.com/arv-anshul.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# India Census 2011 Dashboard\n\nAfter taking the session of **CampusX DSMP Program**. I decided that this would be a good project to improve my **Data Wrangling and Data Interpretation** ability.\n\n## Data Gathering\n\n### 1. Census data get from kaggle.\n\n- [Dataset 1](https://www.kaggle.com/datasets/sirpunch/indian-census-data-with-geospatial-indexing)\n- [Dataset 2](https://www.kaggle.com/datasets/danofer/india-census?select=india-districts-census-2011.csv)\n\n### Disclaimer\n\n- Data is not **appropriate or absolute** to belive. I just used it for practicing purpose.\n\n## Inspired from [CampusX](https://youtube.com/@campusx-official) a Data Science YouTube channel.\n\n## Process of Thinking | Notetaking\n\n### 1. For Populations data :\n\n- Plot a `scatter_mapbox` for each _States and Districts_.\n- Plot a `pie chart` for `male-female` distributions in _States_. _Do this only for States._\n\n### 2. For Literacy Data :\n\n- Plot a `scatter_mapbox` for each _States and Districts_.\n- Plot a `pie chart` for `male-female` distribution in _States_.\n\n### 3. For Castes Group Data :\n\n- This data contains two caste groups `SC \u0026 ST`. So we can plot the only the `pie charts` for each _States_.\n- For Districts we can plot the `nested pie plot` for each **States's Districts**.\\*\n\n### 4. For Religions Data :\n\n- This contains _maybe_ five religions overall. So we have again plot the `nested pie plot` for each _States and Districts_.\n\n### Common Thoughts :\n\n1. Plot some default `scatter plot` with plotly to display many feature analysis in one graph.\n2. After analysing the `Rough Analysis.py` graphs I found that `Litracy` columns does not depict the way it has to. That's why we have to calculate the `litracy rate` of the particulars.\n\n## Feature Engineering\n\n1. In the dataset _Male, Female and Literate_ columns are present instead of _Literacy Rate and Sex Ratio_.\n2. The dataset is in _wide formate_ so I turn it into _long formate_ for analysis.\n\n## Created by [arv-anshul](https://github.com/arv-anshul)\n\nUsed dataset is not appropiate for real life analysis. I just used it to improve my skills. Find the used datasets [here](#1-census-data-get-from-kaggle).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farv-anshul%2Findia-census-2011","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farv-anshul%2Findia-census-2011","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farv-anshul%2Findia-census-2011/lists"}