sweep ai: Generate a professional and stylish README.md file for my supermarket sales analysis project.

Brief Description: This project analyzes a supermarket sales dataset to uncover insights into customer behavior and product trends.

Key Features:

Interactive dashboard visualization of key metrics (e.g., top-selling products, revenue by category, seasonal trends). Jupyter notebook exploring data cleaning, feature engineering, and statistical analysis. Target Audience: Data analysts and business owners interested in understanding supermarket sales patterns.

Files & Technologies:

Dashboard: Sample_dashboard.html Notebook: supermarket-sales-exploration.ipynb Dataset: supermarket_sales - Sheet1.csv Formatting & Style:

Use headers, lists, and code blocks for clarity. Include screenshots or GIFs of the dashboard visualizations. Add a call to action for users to try the project or provide feedback. Remember, the more specific you are in your instructions, the better Sweep AI can understand your needs and generate a README.md that meets your expectations.

Checklist

- [ ] ``README.md``

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File Path Proposed Changes

README.md Create README.md with contents:
• Begin with a header titled "Supermarket Sales Analysis Project" using markdown syntax for a top-level header.
• Add a brief description section explaining the purpose of the project, which is to analyze supermarket sales data to uncover insights into customer behavior and product trends.
• Create a "Key Features" section with a bulleted list that includes:
- Interactive dashboard visualization of key metrics such as top-selling products, revenue by category, and seasonal trends.
- Jupyter notebook for data cleaning, feature engineering, and statistical analysis.
• Define the "Target Audience" section to specify that the project is intended for data analysts and business owners interested in supermarket sales patterns.
• In the "Files & Technologies" section, list the following with bullet points:
- Dashboard: Sample_dashboard.html
- Notebook: supermarket-sales-exploration.ipynb
- Dataset: supermarket_sales - Sheet1.csv
• Include a "Dashboard Visualizations" section where screenshots or GIFs of the dashboard should be embedded. Note: The actual screenshots or GIFs will need to be created and added to the repository, and their paths should be referenced in the README.md file.
• Add a "Getting Started" section with instructions on how to set up and run the project. Include code blocks for any commands that need to be run.
• Conclude with a "Call to Action" section encouraging users to try the project and provide feedback. This section should invite contributions, questions, and suggestions for improvement.
• Ensure that the README.md file is formatted with proper markdown syntax for readability and professionalism.

File Path	Proposed Changes
`README.md`	Create README.md with contents: • Begin with a header titled "Supermarket Sales Analysis Project" using markdown syntax for a top-level header. • Add a brief description section explaining the purpose of the project, which is to analyze supermarket sales data to uncover insights into customer behavior and product trends. • Create a "Key Features" section with a bulleted list that includes: - Interactive dashboard visualization of key metrics such as top-selling products, revenue by category, and seasonal trends. - Jupyter notebook for data cleaning, feature engineering, and statistical analysis. • Define the "Target Audience" section to specify that the project is intended for data analysts and business owners interested in supermarket sales patterns. • In the "Files & Technologies" section, list the following with bullet points: - Dashboard: `Sample_dashboard.html` - Notebook: `supermarket-sales-exploration.ipynb` - Dataset: `supermarket_sales - Sheet1.csv` • Include a "Dashboard Visualizations" section where screenshots or GIFs of the dashboard should be embedded. Note: The actual screenshots or GIFs will need to be created and added to the repository, and their paths should be referenced in the README.md file. • Add a "Getting Started" section with instructions on how to set up and run the project. Include code blocks for any commands that need to be run. • Conclude with a "Call to Action" section encouraging users to try the project and provide feedback. This section should invite contributions, questions, and suggestions for improvement. • Ensure that the README.md file is formatted with proper markdown syntax for readability and professionalism.

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ragi19 / EDA-Projects