{"id":28907596,"url":"https://github.com/arpit-k16/-netflix-data-visualization-with-matplotlib","last_synced_at":"2026-04-29T04:39:40.246Z","repository":{"id":300040017,"uuid":"1005020601","full_name":"arpit-k16/-Netflix-Data-Visualization-with-Matplotlib","owner":"arpit-k16","description":"Netflix data visualization project using Matplotlib and Pandas.","archived":false,"fork":false,"pushed_at":"2025-06-19T14:47:55.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-19T15:37:44.770Z","etag":null,"topics":["data-visualization","explora","exploratory-data-analysis","matplotlib-pyplot","netflix","pandas"],"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/arpit-k16.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,"zenodo":null}},"created_at":"2025-06-19T14:38:00.000Z","updated_at":"2025-06-19T14:47:58.000Z","dependencies_parsed_at":"2025-06-19T15:48:19.519Z","dependency_job_id":null,"html_url":"https://github.com/arpit-k16/-Netflix-Data-Visualization-with-Matplotlib","commit_stats":null,"previous_names":["arpit-k16/-netflix-data-visualization-with-matplotlib"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/arpit-k16/-Netflix-Data-Visualization-with-Matplotlib","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arpit-k16%2F-Netflix-Data-Visualization-with-Matplotlib","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arpit-k16%2F-Netflix-Data-Visualization-with-Matplotlib/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arpit-k16%2F-Netflix-Data-Visualization-with-Matplotlib/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arpit-k16%2F-Netflix-Data-Visualization-with-Matplotlib/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arpit-k16","download_url":"https://codeload.github.com/arpit-k16/-Netflix-Data-Visualization-with-Matplotlib/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arpit-k16%2F-Netflix-Data-Visualization-with-Matplotlib/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261153565,"owners_count":23116913,"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","explora","exploratory-data-analysis","matplotlib-pyplot","netflix","pandas"],"created_at":"2025-06-21T16:03:41.427Z","updated_at":"2026-04-29T04:39:40.240Z","avatar_url":"https://github.com/arpit-k16.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Netflix Data Visualization Capstone Project\n\nThis project is a capstone built while learning Matplotlib, inspired by [this tutorial video](https://youtu.be/kM_eVEEWfnE?feature=shared). It explores Netflix’s catalog using data visualization techniques with Python.\n\n---\n\n## 🗂 Dataset\n\n**Netflix Movies and TV Shows Dataset** from Kaggle:  \n📎 [https://www.kaggle.com/datasets/shivamb/netflix-shows](https://www.kaggle.com/datasets/shivamb/netflix-shows)\n\n---\n\n## 🎯 Project Goals\n\n- Understand the distribution of content types (Movies vs TV Shows)\n- Analyze release trends by year and month\n- Explore countries contributing most content\n- Visualize most popular genres and durations\n- Highlight missing metadata (directors, cast, etc.)\n\n---\n\n## 🔧 Tools \u0026 Technologies\n\n- **Python**\n- **Jupyter Notebook**\n- **Pandas** – data wrangling\n- **Matplotlib (pyplot)** – static plotting\n\n---\n\n## 📊 Key Visual Insights\n\n- **Movies dominate** over TV Shows in total titles available\n- Most content is produced in the **United States**, with India and the UK also contributing significantly\n- **Content additions peaked** in 2019–2020, indicating rapid platform growth\n- **Genres like Documentaries, Dramas, and Comedies** are most frequent\n- Many entries lack complete metadata, which could impact recommendation systems\n\n---\n\n## 📁 Repository Structure\n📦 Netflix-Matplotlib-Capstone\n┣ 📄 netflix_titles.csv # Dataset \n┣ 📄 Netflix_Analysis.ipynb # Jupyter Notebook with all code \u0026 plots\n┣ 📄 README.md # This file\n\n\n---\n\n## ✅ Outcomes\n\n- Strengthened my Matplotlib fundamentals\n- Learned how to extract insights from real-world data\n- Gained experience in visual storytelling for analytics\n\n---\n\n## 🚀 Future Improvements\n\n- Add Seaborn/Plotly for improved visual aesthetics\n- Make an interactive dashboard (Streamlit or Dash)\n- Add genre clustering or NLP on descriptions\n\n---\n\n## 📬 Contact\n\nIf you have suggestions, feedback, or want to collaborate, feel free to connect via [LinkedIn](https://www.linkedin.com/in/arpit-kumar-261888315/).\n\n---\n\n\u003e ⭐ If you found this useful, consider starring the repo or sharing it!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farpit-k16%2F-netflix-data-visualization-with-matplotlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farpit-k16%2F-netflix-data-visualization-with-matplotlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farpit-k16%2F-netflix-data-visualization-with-matplotlib/lists"}