https://github.com/botsakhil/super_market_analysis

The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
https://github.com/botsakhil/super_market_analysis

data-visualization matplotlib numpy pandas seaborn

Last synced: 1 day ago
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The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset

• Host: GitHub
• URL: https://github.com/botsakhil/super_market_analysis
• Owner: Botsakhil
• Created: 2024-12-27T08:24:59.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-12-27T08:31:13.000Z (about 2 months ago)
• Last Synced: 2025-02-20T06:19:01.755Z (1 day ago)
• Topics: data-visualization, matplotlib, numpy, pandas, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Supermarket-Sales-Data-Analysis

The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this datasets.

## Motivation

The growth of supermarkets in most populated cities are increasing and market competitions are also high. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset.

## Libraries used

.numpy #linear algebra

.pandas # data processing, CSV file I/O (e.g. pd.read_csv)

.seaborn & matplotlib #data plotting

## Purpose

This dataset can be used for predictive data analytics purpose.