Title: Automated Excel Data Pipeline
Author: Brian Rafferty
Date: 12/4/2020
Description: This Python script automates the process of merging multiple Excel files into the same Workbook. Each individual sheet's data and title is preserved in the output file. After merging files, the script takes the new excel workbook and creates a single pivot table that analyzes every sheet. In this case, the pivot table groups the data by Shift and then takes the average of the rest of the columns for each shift. By doing so, average productivity per shift can be calculated. The goal is to save a Data Analyst a substantial amount of time when working with Excel files.
Wish List: This script can be augmented by adding user interface functionality. Doing so would allow users to customize which Excel files are merged, which column(s) are selected to group-by within pivot tables, and which aggregate functions to apply.
Dependencies: - Numpy - Openpyxl - OS - Pandas - Python 3.8