{"id":26591845,"url":"https://github.com/macnianios/fandango","last_synced_at":"2026-05-01T08:31:51.433Z","repository":{"id":242229354,"uuid":"786985547","full_name":"macnianios/Fandango","owner":"macnianios","description":"a udemy project for seaborn data visualizations and basic pandas commands","archived":false,"fork":false,"pushed_at":"2025-03-14T17:05:35.000Z","size":594,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-05T12:40:13.831Z","etag":null,"topics":["numpy","pandas","python","seaborn","seaborn-plots","udemy-course-project"],"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/macnianios.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":"2024-04-15T17:10:07.000Z","updated_at":"2025-03-14T17:06:14.000Z","dependencies_parsed_at":"2024-06-01T14:53:47.141Z","dependency_job_id":"cfebc963-097a-43bc-814d-bd9c092ccd1a","html_url":"https://github.com/macnianios/Fandango","commit_stats":null,"previous_names":["macnianios/project_capstone"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/macnianios/Fandango","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macnianios%2FFandango","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macnianios%2FFandango/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macnianios%2FFandango/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macnianios%2FFandango/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/macnianios","download_url":"https://codeload.github.com/macnianios/Fandango/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macnianios%2FFandango/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32490810,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"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":["numpy","pandas","python","seaborn","seaborn-plots","udemy-course-project"],"created_at":"2025-03-23T14:31:29.398Z","updated_at":"2026-05-01T08:31:51.418Z","avatar_url":"https://github.com/macnianios.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fandango\r\n\r\n  This is a project from the udemy class \"Python for Machine Learning \u0026 Data Science Masterclass\" , section 8: Data Analysis and Visualization Capstone Project Exercise\r\n“This project investigates whether Fandango's movie ratings are inflated to encourage ticket sales.\"\r\nhttps://www.udemy.com/course/python-for-machine-learning-data-science-masterclass \r\n\r\n\r\n#Running the Notebook in Google Colab\r\n  1.\tOpen Google Colab: Go to https://colab.research.google.com/.\r\n  2.\tUpload the Notebook:\r\n  3.\tClick on \"File\" -\u003e \"Upload notebook\" and select \"Project_Capstone.ipynb\" from your local machine.\r\n  4.\tAlternatively, you can upload the entire project directory (including \"Project_Capstone.ipynb\") to your Google Drive and open the notebook directly from there.\r\n\r\n#Methods Used\r\n\r\n    •\tData Manipulation (pandas,numpy)\r\n  \r\n    •\tData Visualization(seaborn,matplotlib)\r\n  \r\n\r\n#DATA\r\n  •\tThis is the data behind the story Be Suspicious Of Online Movie Ratings, Especially Fandango’s openly available on 538's github: https://github.com/fivethirtyeight/data. There are two csv files, one with Fandango Stars and Displayed Ratings, and the other with aggregate data for movie ratings from other sites, like Metacritic,IMDB, and Rotten Tomatoes.\r\n\r\n#Results\r\n  • Clearly Fandango is rating movies much higher than other sites so it can sell more ticket for movies. Fandango uses a star rating system, which can lead to rounding up ratings. This might make movies appear more favorably compared to a system that uses decimals or half stars.\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmacnianios%2Ffandango","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmacnianios%2Ffandango","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmacnianios%2Ffandango/lists"}