/bts-on-gaon-music-chart

An interactive webapp made using Streamlit on the performance of BTS songs on the official music chart of South Korea called Gaon Music Chart and performed data visualization using Plotly. Also, created the dataset by fetching weekly and yearly data from the charts published by Gaon Music Company.

Primary LanguagePython

Project title: BTS on Gaon Music Chart

Inspiration and Idea: Being a music nerd and a huge BTS fan for so long, I have been following the music industry and the trends both worldwide and specifically with a focus on South Korea. I have been gathering data each week for songs mostly from their new studio album 'Map Of The Soul: 7' and analyzing the ranks, streams from the Gaon Digital Weekly Chart. So, when I gathered weekly data for the entire of 2020, I made this into a dataset. I got the streams, gaon digital index, and ranking from the Gaon Music Chart published each week. Then I created an interactive web app using Streamlit and performed data visalization using Plotly.

External Links: You can check out the interactive webapp here: https://share.streamlit.io/edilchristian/bts-on-gaon-music-chart/main.py

Also, check out the complete dataset on Kaggle: https://www.kaggle.com/edilchristian/gaon-music-chart

Information about the dataset: Data folder has 2 csv files. One is an year-end ranking file and the other is a weekly tracking of all the songs from Map Of The Soul:7

Working: Download the repository. Run the main.py file to see the graphs that are made using Plotly library.

Sources: I got the streams, gaon digital index, and ranking from the Gaon Music Chart published each week and well as the Gaon Year End Chart 2020.