{"id":18872972,"url":"https://github.com/18alantom/the_genius_batch","last_synced_at":"2025-09-09T12:38:41.168Z","repository":{"id":130600320,"uuid":"369842238","full_name":"18alantom/the_genius_batch","owner":"18alantom","description":"In Mumbai University, we are all geniuses!","archived":false,"fork":false,"pushed_at":"2021-06-21T17:57:03.000Z","size":6878,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-30T19:44:24.083Z","etag":null,"topics":["data-visualization","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/18alantom.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2021-05-22T15:26:02.000Z","updated_at":"2025-01-06T02:12:28.000Z","dependencies_parsed_at":null,"dependency_job_id":"b6c554d2-eb2c-42ec-9619-8ff597c8cc74","html_url":"https://github.com/18alantom/the_genius_batch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/18alantom/the_genius_batch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/18alantom%2Fthe_genius_batch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/18alantom%2Fthe_genius_batch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/18alantom%2Fthe_genius_batch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/18alantom%2Fthe_genius_batch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/18alantom","download_url":"https://codeload.github.com/18alantom/the_genius_batch/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/18alantom%2Fthe_genius_batch/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267626919,"owners_count":24117708,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-29T02:00:12.549Z","response_time":2574,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["data-visualization","seaborn"],"created_at":"2024-11-08T05:33:17.505Z","updated_at":"2025-07-29T04:08:22.878Z","avatar_url":"https://github.com/18alantom.png","language":"Jupyter Notebook","readme":"# the_genius_batch\n![2019 and 2020 histograms](png/BannerPlot.png)\nMumbai University results across a few branches for the years 2019 (pre COVID era), and 2020 (COVID era).\n\nArticle: [Mumbai University, Everyone Cheated](https://18alan.medium.com/mumbai-university-everyone-cheated-83320b8c351a)\n\nSource: http://mumresults.in  (2nd April, 2021)\n\nSome points:\n- Results for engineering courses have the most data, even individual subject marks have been cleaned into `.csv` files.\n- Results for non engineering courses mostly have only *Total Marks* or *GPA* or both.\n- Each `.csv` file has an accompanying `.json` file that has some metadata.\n\n---\n\nSome convenience code has been written to interface with the csv data and clean it.\n\n```\nfrom mapper import D\n\nd = D()\n```\n\nThe above line takes about a minute to run.\n\nThe `D` object has access to all 32 `.csv` files in the form of `pd.DataFrame` objects. \n\nTo access a data frame this: `d.y[YY].[course].df` can be used.\n\nThe `__repr__` methods of `D`'s attributes gives some meaningful info.\n\n---\n*Check the `Plotting It.ipynb` notebook to see how the data is accessed.*","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F18alantom%2Fthe_genius_batch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F18alantom%2Fthe_genius_batch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F18alantom%2Fthe_genius_batch/lists"}