{"id":21865029,"url":"https://github.com/mr-chang95/twitter_datawrangling","last_synced_at":"2026-04-09T07:39:39.440Z","repository":{"id":136750157,"uuid":"438400046","full_name":"Mr-Chang95/Twitter_DataWrangling","owner":"Mr-Chang95","description":"Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program","archived":false,"fork":false,"pushed_at":"2022-02-08T21:01:01.000Z","size":1182,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-26T15:34:12.203Z","etag":null,"topics":["data-visualization","data-wrangling","dogs","matplotlib","numpy","pandas","python","twitter"],"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/Mr-Chang95.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":"2021-12-14T21:05:31.000Z","updated_at":"2022-02-07T20:28:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"d8e70e59-58b0-4222-b989-bbda85543f74","html_url":"https://github.com/Mr-Chang95/Twitter_DataWrangling","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mr-Chang95%2FTwitter_DataWrangling","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mr-Chang95%2FTwitter_DataWrangling/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mr-Chang95%2FTwitter_DataWrangling/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mr-Chang95%2FTwitter_DataWrangling/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Mr-Chang95","download_url":"https://codeload.github.com/Mr-Chang95/Twitter_DataWrangling/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244868766,"owners_count":20523591,"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","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","data-wrangling","dogs","matplotlib","numpy","pandas","python","twitter"],"created_at":"2024-11-28T04:13:51.997Z","updated_at":"2025-12-30T23:56:35.755Z","avatar_url":"https://github.com/Mr-Chang95.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Twitter Data Wrangling - WeRateDogs\n\u003cimg width=\"601\" alt=\"Screen Shot 2022-02-08 at 12 57 55 PM\" src=\"https://user-images.githubusercontent.com/92649864/153074609-21598743-555a-44a0-9870-eb795958f78e.png\"\u003e\n\nDate First Uploaded: 12/14/21\n\n## Project Overview\nIn this project, I gathered data from the archives of a Twitter account called [WeRateDogs](https://twitter.com/dog_rates) which rates owned dogs in their tweets and adds a humorous comment with it. My primary goal for this project is to practice the data analysis process, specifically the wrangling data phase. Here are some steps I took:\n~~~~~\n- Gathered retweet and like counts for all the tweets from the Twitter API using the access library tweepy \n- Read the data into a pandas dataframe in the Jupyter Notebook. \n- Downloaded a tsv file about the tweets programmatically using the requests and BeautifulSoup libraries in python. \n- Assessed quality and tidiness issues in the gathered datasets and cleaned all of them using pandas functions. \n- Analyzed the cleaned tables and created visualizations using the matplotlib library.\n~~~~~\n\n## Packages\n~~~~~~\n- pandas\n- numpy\n- matplotlib\n- requests\n- tweepy\n- json\n~~~~~\n## Licensing, Authors, Acknowledgements\nSpecial thanks to WeRateDogs for allowing me to work with their data. I would also like to thank Udacity for giving me this oppurtunity. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmr-chang95%2Ftwitter_datawrangling","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmr-chang95%2Ftwitter_datawrangling","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmr-chang95%2Ftwitter_datawrangling/lists"}