Radiohead-ID-Most-Listened-Songs-2024

✿ most listened Radiohead songs in Spotify as of July 2024! :)

✿ this repository contains a visualization of the most listened songs by Radiohead in Indonesia as of the year 2024. the purpose for all of these are for my personal-learning only.

visualization

prerequisites

• Python 3.x
• pandas library
• requests library
• Spotify Developer Account
• Tableau Public

steps to recreate this project

step 1: Spotify API access

a. create a Spotify Developer account

1. go to the Spotify Developer Dashboard.
2. i'm creating a new account.
3. create a new app:
   • click on "Create an App".
   • fill in the required information (App Name, App Description, etc.).
   • agree to the terms and click "Create".

b. get Spotify API credentials

1. once your app is created, note down your Client ID and Client Secret.

c. obtain an access token

1. use the following Python script to obtain an access token:

   import requests
   import base64
   
   client_id = 'your_client_id'
   client_secret = 'your_client_secret'
   
   auth_url = 'https://accounts.spotify.com/api/token'
   auth_headers = {
       'Authorization': 'Basic ' + base64.b64encode((client_id + ':' + client_secret).encode('utf-8')).decode('utf-8'),
   }
   auth_data = {
       'grant_type': 'client_credentials',
   }
   
   response = requests.post(auth_url, headers=auth_headers, data=auth_data)
   access_token = response.json()['access_token']
   print('Access Token:', access_token)

2. replace 'your_client_id' and 'your_client_secret' with your actual Spotify API credentials.

3. save the file with a .py extension. for example: get_spotify_token.py.

4. run the script by selecting Run > Run Module. --- END-TO-END, I'M USING TERMINAL. :)

5. copy the access token from the output.

step 2: fetch data from Spotify API for Indonesian market

a. get Radiohead's Spotify ID

1. create a new Python script and copy the following code:

   import requests
   
   # replace with your actual access token
   access_token = 'your_access_token'
   
   # get Radiohead's ID
   search_url = 'https://api.spotify.com/v1/search'
   search_headers = {
      'Authorization': 'Bearer ' + access_token,
   }
   search_params = {
      'q': 'Radiohead',
      'type': 'artist',
   }
   
   response = requests.get(search_url, headers=search_headers, params=search_params)
   radiohead_id = response.json()['artists']['items'][0]['id']
   print('Radiohead ID:', radiohead_id)

2. replace 'your_access_token' with the token obtained earlier.
3. save the file with a .py extension. for example: get_radiohead_id.py.
4. run the script by selecting Run > Run Module.
5. note down the radiohead_id from the output.

a. get Radiohead's Spotify ID

1. get top tracks in Indonesia

   import requests
   import pandas as pd
   
   # replace with your actual access token
   access_token = 'your_access_token'
   radiohead_id = 'your_radiohead_id'
   
   # get top tracks in Indonesia
   tracks_url = f'https://api.spotify.com/v1/artists/{radiohead_id}/top-tracks'
   tracks_headers = {
      'Authorization': 'Bearer ' + access_token,
   }
   tracks_params = {
      'market': 'ID',  # Specify Indonesia market
   }
   
   response = requests.get(tracks_url, headers=tracks_headers, params=tracks_params)
   tracks_data = response.json()['tracks']
   
   # extract relevant data
   tracks_list = []
   for track in tracks_data:
      track_info = {
          'name': track['name'],
          'popularity': track['popularity'],
          'release_date': track['album']['release_date']
      }
      tracks_list.append(track_info)
   
   # create a DataFrame and save as CSV
   tracks_df = pd.DataFrame(tracks_list)
   tracks_df.to_csv('radiohead_tracks_indonesia.csv', index=False)
   print("Data saved to 'radiohead_tracks_indonesia.csv'")

2. replace 'your_access_token' and 'your_radiohead_id' with your access token and the ID obtained earlier.
3. save the file with a .py extension. for example: get_radiohead_tracks.py.
4. run the script by selecting Run > Run Module.
5. verify the CSV file radiohead_tracks_indonesia.csv is created in the directory where you saved the script.

step 3: Tableau visualization

1. open Tableau Public.
2. import the CSV file:
   • go to File > Open and select the radiohead_tracks_indonesia.csv file.

recommendations

for those looking to explore Radiohead's music further, here are some other great songs by the band:

• Black Star
• Nude
• Let Down
• Paranoid Android

data source

the data for this project is sourced from Spotify's API. it includes information on each song's popularity, album, release date, and more.

THANK YOU FOR READING MY WORK! ⋆˚✿˖° 𐙚 ₊ ⊹ ♡ — Hania Ully H.