{"id":13622928,"url":"https://github.com/charliezcr/Kpop-Data-Analysis","last_synced_at":"2025-04-15T10:31:58.613Z","repository":{"id":131229568,"uuid":"336670419","full_name":"charliezcr/Kpop-Data-Analysis","owner":"charliezcr","description":"Data analysis about K-pop industry, artists, and companies. Visualized business performances of public K-pop companies and analyzed artist management and international marketing strategies","archived":false,"fork":false,"pushed_at":"2021-09-21T06:26:28.000Z","size":4153,"stargazers_count":14,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-11-08T10:48:38.698Z","etag":null,"topics":["data-analysis","data-visualization","kpop","pandas","python"],"latest_commit_sha":null,"homepage":"https://charliezcr.github.io/projects.html#Kpop","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/charliezcr.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}},"created_at":"2021-02-07T01:00:50.000Z","updated_at":"2024-05-12T10:17:47.000Z","dependencies_parsed_at":"2023-03-12T09:24:45.359Z","dependency_job_id":null,"html_url":"https://github.com/charliezcr/Kpop-Data-Analysis","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/charliezcr%2FKpop-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/charliezcr%2FKpop-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/charliezcr%2FKpop-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/charliezcr%2FKpop-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/charliezcr","download_url":"https://codeload.github.com/charliezcr/Kpop-Data-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249051680,"owners_count":21204866,"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-analysis","data-visualization","kpop","pandas","python"],"created_at":"2024-08-01T21:01:25.875Z","updated_at":"2025-04-15T10:31:58.037Z","avatar_url":"https://github.com/charliezcr.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Kpop Data Analysis\n## Project Overview\nKpop refers to the music genre and its idol industry originated in South Korea. I gathered data of Kpop from 1992-03-23 (the birthday of Kpop) to 2021-01-11 including information of all major Kpop idols from [K-Pop Database](https://dbkpop.com/), analyzed the statistics about Kpop Industry.\n## Contents\n1. Part.1 is an exploratory data analysis of Kpop industry\nHere are python [notebook](https://github.com/charliezcr/Kpop-Data-Analysis/blob/main/kda.ipynb) and the [webite](https://charliezcr.github.io/kda.html) for the code for part.1\n\nHere is the reader-friendly [Medium article](https://crzheng97.medium.com/kpop-data-analysis-c88010e40e0d) for part.1 and its [YouTube video](https://youtu.be/NIsDL-QKT3s)\n\n2. Part.2 is an interactive data visualization of Kpop's business performance and strategy\nHere are python [notebook](https://github.com/charliezcr/Kpop-Data-Analysis/blob/main/kda2.ipynb) and the [webite](https://charliezcr.github.io/kda2.html) for the code for part.2\n\nHere are the inertactive charts of [revenue](https://charliezcr.github.io/Revenues%20of%20Kpop%20Agencies.html) and [net income](https://charliezcr.github.io/Net%20Income%20of%20Kpop%20Agencies.html)\n\nHere is the reader-friendly [Medium article](https://crzheng97.medium.com/analysis-of-kpop-agencies-9a2fd99c891a) for part.2 and its [YouTube video](https://youtu.be/SCZ6co7uuNQ)\n\n3. Part.3 is an interactive data visualzation, a choropleth map of Kpop artists' nationality other than South Korea.\nHere are python [notebook](https://github.com/charliezcr/Kpop-Data-Analysis/blob/main/kda4.ipynb) and the [webite](https://charliezcr.github.io/kda4.html) for the code for part.3\n\nHere is the [interactive map](https://charliezcr.github.io/countries.html)\n\n4. Part.4 is an analysis of Kpop music videos on YouTube.\nHere are python [notebook](https://github.com/charliezcr/Kpop-Data-Analysis/blob/main/kda5.ipynb) and the [webite](https://charliezcr.github.io/kda5.html) for the code for part.4\n\nHere is the reader-friendly [Medium article](https://crzheng97.medium.com/analysis-of-kpop-music-video-on-youtube-65816adb2f1) for part.4\n\n5. Part.5 is an analysis of Kpop group size, especially for big groups.\nHere are python [notebook](https://github.com/charliezcr/Kpop-Data-Analysis/blob/main/kda6.ipynb) and the [webite](https://charliezcr.github.io/kda6.html) for the code for part.5\n\nHere is the reader-friendly [Medium article](https://crzheng97.medium.com/why-kpop-groups-have-so-many-members-2086cf35e98f) for part.5\n\n## Modules\n**pip install these modules**\n- [pandas](https://pandas.pydata.org/): data processing\n- [numpy](https://numpy.org/): linear algebra\n- [matplotlib](https://matplotlib.org/): visualization\n- [plotly](https://plotly.com/): visualization\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcharliezcr%2FKpop-Data-Analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcharliezcr%2FKpop-Data-Analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcharliezcr%2FKpop-Data-Analysis/lists"}