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I crafted a Python solution using os, datetime, pandas, and win32com.client to efficiently consolidate data from multiple Excel files. Leveraging Pandas for data manipulation, I formatted information and created a dynamic, consolidated chart. The project automates the entire process, including email dispatch using win32com.client.

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ChuvsLA/excel.automation_email

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excel.automation_email

Excel Data Consolidation and Visualization

I crafted a Python solution using os, datetime, pandas, and win32com.client to efficiently consolidate data from multiple Excel files. Leveraging Pandas for data manipulation, I formatted information and created a dynamic, consolidated chart. The project automates the entire process, including email dispatch using win32com.client.

Highlights:

  • Efficient Data Handling: Streamlined file navigation and processing with the os module.

  • Temporal Precision: Utilized datetime for accurate timestamping and data tracking.

  • Pandas Mastery: Expertly employed Pandas for versatile data manipulation and transformation.

  • Dynamic Charting: Created visually intuitive, consolidated charts adapting to varying input data.

  • End-to-End Automation: Automated the complete process, including email dispatch for seamless integration.

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I crafted a Python solution using os, datetime, pandas, and win32com.client to efficiently consolidate data from multiple Excel files. Leveraging Pandas for data manipulation, I formatted information and created a dynamic, consolidated chart. The project automates the entire process, including email dispatch using win32com.client.

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