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GitHub / jmarihawkins / athletic_sales_analysis
The purpose of this project is to analyze athletic sales data from 2020 and 2021 using Python within Jupyter Notebook. By combining, cleaning, and visualizing the data, we aim to uncover insights into regional sales patterns, retailer performance, and product trends. This analysis can be applied to retail businesses seeking to optimize sales.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmarihawkins%2Fathletic_sales_analysis
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 147 KB
Dependencies:
0
Created: about 1 month ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: 29 days ago
Topics: data-importing-and-cleaning-projects, data-manipulation, jupyterlab, python, summary-statistics, time-series-analysis
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