https://github.com/codeofrahul/python_amazon_sales_analysis

In this repository, I have saved my Python_Amazon_sales_analysis Notebook. To do this Amazon_sales_analysis, I have done end to end process. cleaned the dataset, Did EDA, ploted graph and reached to the conclusion.
https://github.com/codeofrahul/python_amazon_sales_analysis

amazon analysis data-visualization eda exploratory-data-analysis matplotlib pandas-library python seaborn

Last synced: 10 months ago
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In this repository, I have saved my Python_Amazon_sales_analysis Notebook. To do this Amazon_sales_analysis, I have done end to end process. cleaned the dataset, Did EDA, ploted graph and reached to the conclusion.

• Host: GitHub
• URL: https://github.com/codeofrahul/python_amazon_sales_analysis
• Owner: CodeofRahul
• Created: 2024-03-26T09:59:32.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-26T10:32:09.000Z (almost 2 years ago)
• Last Synced: 2025-01-30T03:19:00.193Z (about 1 year ago)
• Topics: amazon, analysis, data-visualization, eda, exploratory-data-analysis, matplotlib, pandas-library, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 4.09 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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## Python_Amazon_sales_analysis

In this repository, I have saved my Python_Amazon_sales_analysis Notebook. To do this Amazon_sales_analysis, I have done end to end process.

- First, I have downloaded this dataset from Kaggle and then loaded the dataset in colab notebook.

- I have cleaned the dataset to run proper analysis.

- I have done EDA.

- I have used Python Pandas and Matplotlib library to plot graphs.

- Then i have reached to the conclusion.