{"payload":{"header_redesign_enabled":false,"results":[{"id":"403531995","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"ekarbeyaz/nhtsa-recalls-data-manipulation","hl_trunc_description":"Using data manipulation, cleaning and visualization techniques on NHTSA recalls dataset.","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":403531995,"name":"nhtsa-recalls-data-manipulation","owner_id":78651744,"owner_login":"ekarbeyaz","updated_at":"2021-09-27T13:20:53.448Z","has_issues":true}},"sponsorable":false,"topics":["python","data","pandas","data-visualization","seaborn","data-analysis","data-manipulation","data-cleaning"],"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":79,"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%253Aekarbeyaz%252Fnhtsa-recalls-data-manipulation%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/ekarbeyaz/nhtsa-recalls-data-manipulation/star":{"post":"FGgumUhVQ8LJL8i5eRckQc7gBBhUPKOccFKxsCzXUusm5u061hI-3X4cQLQzJ9UVm7uTvlfTLd-kIf6jNYOQXA"},"/ekarbeyaz/nhtsa-recalls-data-manipulation/unstar":{"post":"IbBkjwQOlUA9GkL9vCHg1e8G8R8n7XZuSznhx8Mh5X1LOjdr8msZ8EHYo7qXgr5xPxcx1WEqtNlA6BUJZoK7FA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"JgAuwDq7gEArl8sDyXcEJzhWX59nMIeHf47mgqIMBnwzje3JLB90EnyEHyY8FuHsuFf020TwH6woDKn5mPwrwg"}}},"title":"Repository search results"}