https://github.com/datasqlsantosh/project-portfolio-e-commerce-data-analysis

In this personal Project-Portfolio-E-commerce-Data Analysis project, an exploratory data analysis was performed on the E-commerce Data available on Kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2018 to 2019.
https://github.com/datasqlsantosh/project-portfolio-e-commerce-data-analysis

data-cleaning data-visualization database dataset exc power-bi sql

Last synced: 9 months ago
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In this personal Project-Portfolio-E-commerce-Data Analysis project, an exploratory data analysis was performed on the E-commerce Data available on Kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2018 to 2019.

• Host: GitHub
• URL: https://github.com/datasqlsantosh/project-portfolio-e-commerce-data-analysis
• Owner: datasqlsantosh
• Created: 2023-12-30T08:25:38.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-30T08:51:10.000Z (over 2 years ago)
• Last Synced: 2025-03-04T17:43:53.294Z (over 1 year ago)
• Topics: data-cleaning, data-visualization, database, dataset, exc, power-bi, sql
• Homepage:
• Size: 293 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Project-Portfolio-E-commerce-data-Analysis

In this E-commerce state Sales Power Data Analysis project, an exploratory data analysis was performed on the E-commerce Sales Data available on Kaggle. 

The main aim of the project is to uncover insights into the E-commerce data and profits trends and patterns from 2018 to 2019. After cleaning and preprocessing the data,

the profits trends were visualized by states, region, category, sub-category and timeline (years or quarters). Additionally, 

top-performing, least-performing products and the most profitable customers were identified. After, the data is displayed in a Power Bi interactive dashboard. 

2 versions of the dashboard exist. A yearly focus and a quarterly focus. 

The analysis below provided valuable insights into the E-commerce data and profits performance and identified areas for improvement. 

The project demonstrated the usefulness of Power Bi in data analysis and decision-making. 

The link to the original dataset on Kaggle: https://www.kaggle.com/datasets/benroshan/ecommerce-data

Thank you !