Data Science and Analytics Tools - Automated Report Generation from Excel Data

 Notes:

• What problem does it solve?
  Automates the generation of performance or financial reports based on the latest data in Excel files.

• How can businesses or users benefit from customizing the code?
  Businesses can tailor report formatting, calculation logic, and data sources according to their needs.

• How can businesses or users adopt the solution further, if needed?
  Can integrate into automated workflows, generating reports based on new data entries every month or quarter.

Actual Python Code:

import pandas as pd

from openpyxl import Workbook

from openpyxl.utils.dataframe import dataframe_to_rows

# Load data from Excel

data = pd.read_excel('data.xlsx')

# Perform analysis (example: summing sales per product)

summary = data.groupby('Product').agg({'Sales': 'sum'}).reset_index()

# Create a new workbook and add a sheet

wb = Workbook()

ws = wb.active

ws.title = "Sales Report"

# Append data to the sheet

for row in dataframe_to_rows(summary, index=False, header=True):

    ws.append(row)

# Save the report as a new Excel file

wb.save('sales_report.xlsx')