{"id":26531814,"url":"https://github.com/kevinwood15/python_twitter_datawrangling_project","last_synced_at":"2026-05-18T17:30:59.320Z","repository":{"id":279271251,"uuid":"938264744","full_name":"kevinwood15/Python_Twitter_DataWrangling_Project","owner":"kevinwood15","description":"The main objectives of this project is to wrangle (clean) and analyze twitter data. I deal with some messy data, clean it, then plot some visualizations of the data to analyze it. ","archived":false,"fork":false,"pushed_at":"2025-02-24T17:47:13.000Z","size":154,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-21T18:38:47.822Z","etag":null,"topics":["cleaning-data","data-science","data-visualization","python","wrangling-data"],"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/kevinwood15.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}},"created_at":"2025-02-24T17:18:40.000Z","updated_at":"2025-03-07T18:02:35.000Z","dependencies_parsed_at":"2025-02-24T18:41:34.515Z","dependency_job_id":null,"html_url":"https://github.com/kevinwood15/Python_Twitter_DataWrangling_Project","commit_stats":null,"previous_names":["kevinwood15/python_twitter_datawrangling"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kevinwood15/Python_Twitter_DataWrangling_Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevinwood15%2FPython_Twitter_DataWrangling_Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevinwood15%2FPython_Twitter_DataWrangling_Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevinwood15%2FPython_Twitter_DataWrangling_Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevinwood15%2FPython_Twitter_DataWrangling_Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kevinwood15","download_url":"https://codeload.github.com/kevinwood15/Python_Twitter_DataWrangling_Project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kevinwood15%2FPython_Twitter_DataWrangling_Project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33185462,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-18T09:27:30.708Z","status":"ssl_error","status_checked_at":"2026-05-18T09:27:28.300Z","response_time":71,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["cleaning-data","data-science","data-visualization","python","wrangling-data"],"created_at":"2025-03-21T18:31:43.843Z","updated_at":"2026-05-18T17:30:59.302Z","avatar_url":"https://github.com/kevinwood15.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python_Twitter_DataWrangling\nThe main objectives of this project is to wrangle (clean) and analyze twitter data. I deal with some messy data, clean it, then plot some visualizations of the data to analyze it. \nThis project utilizes three data type:\nThe .csv file is of tweets from twitter (now X), which post pictures of dogs and rate them on a scale of 10\nThe .tsv is data from an algorithm that predictions the dogs breed from an image\nThe .json file provides additional information about each posts number of retweets, favorites, etc.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinwood15%2Fpython_twitter_datawrangling_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkevinwood15%2Fpython_twitter_datawrangling_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinwood15%2Fpython_twitter_datawrangling_project/lists"}