{"payload":{"header_redesign_enabled":false,"results":[{"id":"804697166","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"spacebakery/Cleaning-US-Census-Data-Project","hl_trunc_description":"Data Science Foundations II | Data Wrangling, Cleaning, and Tidying | How to Clean Data with Python","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":804697166,"name":"Cleaning-US-Census-Data-Project","owner_id":111330065,"owner_login":"spacebakery","updated_at":"2024-05-23T05:03:38.064Z","has_issues":true}},"sponsorable":false,"topics":["sorting","pandas","data-visualization","seaborn","data-analysis","matplotlib","data-wrangling","filtering","data-cleaning","grouping","missing-values","data-tidying"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":125,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Aspacebakery%252FCleaning-US-Census-Data-Project%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/spacebakery/Cleaning-US-Census-Data-Project/star":{"post":"-upDhrUl12o_PR5I5U0tzVcBrxQAHDjZn1SN4niRFaBv6-mI-r7NZioMRld3-m9uDx8NQgbWSrL-njYDAnmsQA"},"/spacebakery/Cleaning-US-Census-Data-Project/unstar":{"post":"08Gizr2CfTeYVGCEmWlK4iqymq_e4JkwrlR4guGEPZPQv16ZHURFlVXuUjKeZ24qxMBQGcHtEjoExXdJQVTIVQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"_Kf9d7QfmToVXYrljFKlYU-z386Hq96RPJLKfeC2103Wzq-EXd9CR8hN8ja4HomO5x6PYzJwcwl-j69mtRMR9w"}}},"title":"Repository search results"}