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Spotify data analysis for songs between 2010 and 2019 using Jupyter Notebooks including pandas and Seaborn plots.

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Data Analysis of Top Spotify Songs from 2010-2019

Questions Answered:

  • What is the most popular song in the dataset?
  • What artist has the most songs in the dataset?
  • What is the most popular genre of music in the dataset?
  • Are there any songs in the dataset more than once?
  • Is there a relationship between popularity and danceability?
  • Does having a higher bpm lead to having a higher energy score?
  • Which genre has the highest energy score?
  • Each question is answered in writing that explains how the answer was gathered/calculated.

Addition questions answered:

  • What percentage of songs may have been recorded live? (Considers anything above 50 in the live column to be recorded live)
  • What percentage of songs were acoustic? (Considers anything above 50 in the acoustic column to be acoustic)
  • Which year’s songs have the highest amount of spoken word in the song?

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Spotify data analysis for songs between 2010 and 2019 using Jupyter Notebooks including pandas and Seaborn plots.

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