https://github.com/easonlai/exploratory_data_analysis_retail_sample

This is a sample code repository that leveraged "Walmart Dataset (Retail)" from Kaggle to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.
https://github.com/easonlai/exploratory_data_analysis_retail_sample

eda exploratory-data-analysis forecasting linear-regression matplotlib pandas pandas-python python python3 random-forest retail retail-data retail-sales seaborn seaborn-plots sklearn

Last synced: 7 months ago
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This is a sample code repository that leveraged "Walmart Dataset (Retail)" from Kaggle to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.

• Host: GitHub
• URL: https://github.com/easonlai/exploratory_data_analysis_retail_sample
• Owner: easonlai
• Created: 2022-06-04T17:07:53.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-06-05T09:03:26.000Z (over 3 years ago)
• Last Synced: 2025-01-08T12:14:03.646Z (9 months ago)
• Topics: eda, exploratory-data-analysis, forecasting, linear-regression, matplotlib, pandas, pandas-python, python, python3, random-forest, retail, retail-data, retail-sales, seaborn, seaborn-plots, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 371 KB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Exploratory Data Analysis (Sample for Retail)

This is a sample code repository that leveraged ["Walmart Dataset (Retail)"](https://www.kaggle.com/datasets/rutuspatel/walmart-dataset-retail) from [Kaggle](https://www.kaggle.com/) to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.

About the dataset ["Walmart Dataset (Retail)"](https://www.kaggle.com/datasets/rutuspatel/walmart-dataset-retail):

* Store - The Store ID number.

* Date - The week of sales.

* Weekly_Sales - Sales record in the week of the store.

* Holiday_Flag - Indicate whether the week has Public Holiday or not.

* Temperature - Average temperature of the week.

* Fuel_Price - Average fuel price of the week.

* CPI – Prevailing Consumer Price Index.

* Unemployment - Prevailing Unemployment Rate.

Enjoy!