/Kpop-Data-Analysis

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

Primary LanguageJupyter Notebook

Kpop Data Analysis

Project Overview

Kpop 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, analyzed the statistics about Kpop Industry.

Contents

  1. Part.1 is an exploratory data analysis of Kpop industry Here are python notebook and the webite for the code for part.1

Here is the reader-friendly Medium article for part.1 and its YouTube video

  1. Part.2 is an interactive data visualization of Kpop's business performance and strategy Here are python notebook and the webite for the code for part.2

Here are the inertactive charts of revenue and net income

Here is the reader-friendly Medium article for part.2 and its YouTube video

  1. Part.3 is an interactive data visualzation, a choropleth map of Kpop artists' nationality other than South Korea. Here are python notebook and the webite for the code for part.3

Here is the interactive map

  1. Part.4 is an analysis of Kpop music videos on YouTube. Here are python notebook and the webite for the code for part.4

Here is the reader-friendly Medium article for part.4

  1. Part.5 is an analysis of Kpop group size, especially for big groups. Here are python notebook and the webite for the code for part.5

Here is the reader-friendly Medium article for part.5

Modules

pip install these modules