The project involved analyzing customer spending patterns on the top-selling artist, leveraging SQL queries to extract insights from interconnected tables such as Customer, Invoice, InvoiceLine, Track, Album, and Artist. The project focuses on identifying the top-selling artist and determining how much each customer spent on their tracks.
-
Notifications
You must be signed in to change notification settings - Fork 0
The project involved analyzing customer spending patterns on the top-selling artist, leveraging SQL queries to extract insights from interconnected tables such as Customer, Invoice, InvoiceLine, Track, Album, and Artist. The project focuses on identifying the top-selling artist and determining how much each customer spent on their tracks.
satishnarwade18/Music_Store
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The project involved analyzing customer spending patterns on the top-selling artist, leveraging SQL queries to extract insights from interconnected tables such as Customer, Invoice, InvoiceLine, Track, Album, and Artist. The project focuses on identifying the top-selling artist and determining how much each customer spent on their tracks.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published