Taylor Swift Song & Market Analysis

Project Summary

Project Motivation

• I am a new audience of Taylor Swift music, I find that she is really famous in music industry for a decade. because of curiosity, I decide to collect and analyse data to understand how she famous and what her music style actually is based on time series. interactive dashboard: https://public.tableau.com/app/profile/nguyen.huu.huy.hoang/viz/TaylorSwiftMarketandSongAnalysis/MainDashboard?publish=yes

Planning

How I decide what data to collect:

• I collect data based on hierarchical order: How Taylor Swift in the world -> music market -> her album -> her song > her song feature/genres

Pre-analysis questions and hypothesis

• Before analyse, I determine some of question or hypothesis about Taylor Swift:
  • She is a big music star around the world, so how her audience distribute around the world?
  • I assume that her position in Billboard chart should be affected by her new release, it means each time she release new tracks/album, she will be on top of the chart.
  • She is considered as pop star, her music is all pop or having another kind of music?
  • Because she is a big star in the industry, her tracks should mostly be on the Billboard chart, some of them are on top
  • What is her music style? (I will use song feature that describe 3 main aspects in her music: Energy, Acousticness, Musical positiveness)
• At the end of this project, all questions and hypothesis will be answer by data plotted on Tableau.

The project follow steps:

• Step 1: collect and clean data
• Step 2: Create Tableau interactive dashboard and static report

Step 1: Data enrichment

There are some type of data sources I use in this project to enrich my data

Main dataset:

• Data collect method: Read Step 1 and Step 2 in Readme.md https://github.com/hoangr1010/Song-Analysis
• This data set includes: song, album, album release date, song feature, popularity, song genres
• Sources: Spotify, LastFM

Views amount by country for last 12 months:

• Data collect method: use selenium to scrape data
• This data set includes: Country_name, views amount for last 12 months
• Sources: Youtube Music Chart

Taylor Swift on Artist 100 (Billboard chart for artist):

• Data collect method: use Billboard API to request data
• This data set includes: Week, Taylor position on chart
• Source: Billboard chart - Artist 100

Taylor's song on Hot 100 (Billboard chart for song):

• Data collect method: use BeautifulSoup to scrape the data
• This data set includes: song name,debut date,peak position,peak date,weeks on Chart
• Source: Billboard chart - Hot 100

Note: all dataset I used for this project placed on dataset folder. song_df_join_hot_100 is dataset I left join between song_df and hot_100_df

Step 2: Create Tableau interactive dashboard and static report

• At the end, I create a report to answer all question at outset. I store it in png file above.
• You also can explore more insight about Taylor Swift market and song through this interactive dashboard: https://public.tableau.com/app/profile/nguyen.huu.huy.hoang/viz/TaylorSwiftMarketandSongAnalysis/MainDashboard?publish=yes