To get started let’s read the data into a pandas dataframe and print the first five rows: import pandas as pd df = pd.read_csv('top50.csv', encoding='ISO-8859-1') print(df.

Popularity - The higher the value the more popular the song is.

The following table lists the top 100 most-streamed songs on Spotify, with streams rounded to the nearest million, as well as the artist (s) and the date it was released. The higher the value the more spoken word the song contains No of streams of Top Ten Songs streamed on Spotify as of 28 March 2023. The higher the value the more acoustic the song The higher the value, the more positive mood for the song.

Liveness - The higher the value, the more likely the song is a live recording.

The higher the value, the louder the song.

Danceability - Thee higher the value, the easier it is to dance to the song.

Energy - The energy of Song - the higher the value the more energetic.

The data set contains the following fields: It was extracted from the Organize Your Music site. Tap on the Made for you section, then scroll down to find the Your Top Songs 2021 playlist (or. The data set provides the 50 most listened to songs on Spotify in 2019. Open the Spotify app on your device and go to your library. SortYourMusic is the perfect name for this website. In this post we will analyze the Top 50 Spotify Songs data set, which can be found on Kaggle. These are the best Spotify websites to help you understand your own music tastes. What were the most popular songs of 2019? Which genres were most popular in 2019? Which artists were most popular?

Spotify top 10 songs