{"id":19541591,"url":"https://github.com/rakumar99/netflix-analysis-using-tableau","last_synced_at":"2026-03-19T10:21:30.102Z","repository":{"id":259500173,"uuid":"875449896","full_name":"rakumar99/Netflix-Analysis-Using-Tableau","owner":"rakumar99","description":"This repository contains Netflix Analysis Dashboard Using Tableau where it will help in analyzing total revenue and total subscribers over a period of time based on data provided.","archived":false,"fork":false,"pushed_at":"2024-10-22T12:27:04.000Z","size":7341,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-07T20:45:29.133Z","etag":null,"topics":["calculations","dashboards","metadata-management","sql","tableau","tableau-public"],"latest_commit_sha":null,"homepage":"","language":null,"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/rakumar99.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":"2024-10-20T02:28:07.000Z","updated_at":"2024-10-22T12:27:07.000Z","dependencies_parsed_at":"2024-10-26T02:32:49.169Z","dependency_job_id":"89ea5c27-166e-4002-b6e9-f44070e52c21","html_url":"https://github.com/rakumar99/Netflix-Analysis-Using-Tableau","commit_stats":null,"previous_names":["rakumar99/netflix-analysis-using-tableau"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rakumar99/Netflix-Analysis-Using-Tableau","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakumar99%2FNetflix-Analysis-Using-Tableau","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakumar99%2FNetflix-Analysis-Using-Tableau/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakumar99%2FNetflix-Analysis-Using-Tableau/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakumar99%2FNetflix-Analysis-Using-Tableau/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rakumar99","download_url":"https://codeload.github.com/rakumar99/Netflix-Analysis-Using-Tableau/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakumar99%2FNetflix-Analysis-Using-Tableau/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29430237,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-13T22:20:51.549Z","status":"ssl_error","status_checked_at":"2026-02-13T22:20:49.838Z","response_time":78,"last_error":"SSL_read: 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":["calculations","dashboards","metadata-management","sql","tableau","tableau-public"],"created_at":"2024-11-11T03:11:11.375Z","updated_at":"2026-02-14T01:44:19.584Z","avatar_url":"https://github.com/rakumar99.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Netflix Analysis Dashboard\n\n\n\n## Project Description:\n\nThis Tableau Desktop project provides an in-depth analysis of Netflix's performance and content trends between 2018 and 2020. The dashboard focuses on key metrics such as revenue, subscribers, top-rated genres, production by country, and content release trends. The aim of the project is to give a comprehensive view of Netflix’s growth, popular genres, and the geographical distribution of content production.\n\n\n### Key Insights:\n\nTotal Revenue and Subscribers (2018–2020):\n\nVisualizes Netflix’s total revenue growth and subscriber count over the three-year period.\nIdentifies trends and highlights Netflix’s rapid expansion during this timeframe.\n\n\n### Top 10 Rated Genres (IMDb Ratings):\n\nDisplays the top 10 highest-rated genres based on IMDb ratings.\nHelps users understand which genres resonate most with Netflix viewers.\n\n\n### Total Shows and Movies Released by Year:\n\nAnalyzes the total number of shows and movies released each year.\nHighlights content growth, showing how Netflix’s original productions have expanded year-over-year.\n\n\n### Country Productions:\n\nBreaks down Netflix content production by country, offering insights into which countries contribute the most to Netflix's content library.\nIdentifies top-producing countries and their impact on Netflix’s global content strategy.\n\n\n### Popular TV Shows:\n\nLists popular TV shows based on viewership or IMDb ratings.\nOffers insights into which shows drive Netflix’s global viewership and popularity.\n\n\n### Data Overview:\n\nThe project uses Netflix data spanning from 2018 to 2020, covering the following aspects:\n\nTotal Revenue and Subscribers: Includes detailed information on revenue growth and subscriber numbers, segmented by year.\n\nIMDb Ratings: Data on genre ratings based on viewer feedback on IMDb, focusing on the top 10 rated genres.\n\nContent Releases: A breakdown of the total number of shows and movies released by Netflix each year.\n\nCountry Productions: Data on content production by country, identifying the top regions contributing to Netflix’s original content.\n\nPopular TV Shows: A list of high-performing TV shows based on either ratings or viewership.\n\n### Dashboard Features:\n\nRevenue and Subscriber Growth: A line graph showing the increase in Netflix’s revenue and subscriber base from 2018 to 2020.\n\nTop Genres by IMDb Ratings: A bar chart highlighting the top 10 genres rated on IMDb, helping users identify viewer preferences.\n\nYearly Content Release: A timeline visualization that tracks the number of new shows and movies released by Netflix each year.\n\nCountry Production: A map showing the distribution of Netflix’s original content production by country, offering a global view of content creation.\n\nPopular TV Shows: A list of top TV shows, with additional filtering options to explore different genres, ratings, or regions.\n\n\n### Technologies Used:\n\n\nTableau Desktop: For creating interactive visualizations and dashboards.\n\nIMDb Data: For gathering ratings and genre information.\n\nNetflix Subscriber Data: For analyzing subscriber growth and revenue trends.\n\n\n### How to Use:\n\nClone the repository and open the Tableau Workbook file.\n\nExplore the various dashboards and visualizations to gain insights into Netflix’s growth, top genres, and production trends.\n\nInteract with the filters to customize the visualizations based on specific countries, years, or genres.\n\n\n### Future Enhancements:\n\nIntegrate more data on user engagement metrics such as total watch hours.\n\nAdd machine learning models to predict future subscriber growth based on historical trends.\n\nExpand the analysis to include comparisons with competitors like Disney+ and Hulu.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frakumar99%2Fnetflix-analysis-using-tableau","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frakumar99%2Fnetflix-analysis-using-tableau","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frakumar99%2Fnetflix-analysis-using-tableau/lists"}