https://github.com/mikaremi/spotify

The following project is an analysis of the most streamed songs in the year 2023. The project identifies key performance indicators (KPIs) such as total streams, Number of tracks and the average streams.
https://github.com/mikaremi/spotify

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The following project is an analysis of the most streamed songs in the year 2023. The project identifies key performance indicators (KPIs) such as total streams, Number of tracks and the average streams.

• Host: GitHub
• URL: https://github.com/mikaremi/spotify
• Owner: Mikaremi
• Created: 2024-04-09T12:46:28.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-09T13:26:20.000Z (10 months ago)
• Last Synced: 2024-04-09T17:27:38.873Z (10 months ago)
• Size: 2.69 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Spotify Music Analysis 2023

The following project is an analysis of the most streamed songs in the year 2023. The project identifies key performance indicators (KPIs) such as total streams, Number of tracks and the average streams. The project intergrates the use of Power BI, through which I've been able to come up with a visualization dashboard that can be used to determine the most streamed track, and also determine the top 5 most streamed tracks during the year 2023. Morover, the visualization determines the daily streams for all tracks, tracks and streams by month, and streams by release date.

# Steps.

* Navigation

* Promoted headers

* Changed type

* Removed errors

* Replaced values

* Inserted date

* Reorderd columns

* Creaated the calendar table

* Build the dashboard

# Conclusion

In the year 2023, Spotify recorded a total of 489bn streams, 951 tracks, and average streams of 515m. The most streamed track during that year was Blinding lights by The Weekend. Friday recorded a higher sum of the number of streams. Lastly, the month of September topped the tracks and streams by month with an average of 735M streams.