The project involved comprehensive Data Cleaning, Visualization, and Analysis using Python. Leveraging Jupyter Notebook as the integrated development environment (IDE), key Python packages and libraries including Matplotlib, Seaborn, and pyplot were utilized for effective and visually insightful data representation.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project repository focuses on providing a comprehensive analysis of Coffee chain industry. Explored trends and insights using Python packages and libraries, such as Matplotlib, Seaborn, and pyplot. Uncovered key market dynamics, sales trends, customer behavior, market performance and more.
prati-y/Coffee_Chain_Analysis_Python
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project repository focuses on providing a comprehensive analysis of Coffee chain industry. Explored trends and insights using Python packages and libraries, such as Matplotlib, Seaborn, and pyplot. Uncovered key market dynamics, sales trends, customer behavior, market performance and more.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published