This analysis delves into a dataset containing hundreds of thousands of electronics store purchases. By leveraging Python libraries like pandas, NumPy, and matplotlib, we extracted valuable insights to aid business decisions.
-
Notifications
You must be signed in to change notification settings - Fork 0
This analysis delves into a dataset containing hundreds of thousands of electronics store purchases. By leveraging Python libraries like pandas, NumPy, and matplotlib, we extracted valuable insights to aid business decisions.
Milan-pixel-star/E-Commerce-Sales-Data-Analysis-Uncovering-Customer-Trends-and-Product-Insights
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This analysis delves into a dataset containing hundreds of thousands of electronics store purchases. By leveraging Python libraries like pandas, NumPy, and matplotlib, we extracted valuable insights to aid business decisions.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published