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Extending Excel with Python and R

You're reading from   Extending Excel with Python and R Unlock the potential of analytics languages for advanced data manipulation and visualization

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781804610695
Length 344 pages
Edition 1st Edition
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Authors (2):
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Steven Sanderson Steven Sanderson
Author Profile Icon Steven Sanderson
Steven Sanderson
David Kun David Kun
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David Kun
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Table of Contents (20) Chapters Close

Preface 1. Part 1:The Basics – Reading and Writing Excel Files from R and Python
2. Chapter 1: Reading Excel Spreadsheets FREE CHAPTER 3. Chapter 2: Writing Excel Spreadsheets 4. Chapter 3: Executing VBA Code from R and Python 5. Chapter 4: Automating Further – Task Scheduling and Email 6. Part 2: Making It Pretty – Formatting, Graphs, and More
7. Chapter 5: Formatting Your Excel Sheet 8. Chapter 6: Inserting ggplot2/matplotlib Graphs 9. Chapter 7: Pivot Tables and Summary Tables 10. Part 3: EDA, Statistical Analysis, and Time Series Analysis
11. Chapter 8: Exploratory Data Analysis with R and Python 12. Chapter 9: Statistical Analysis: Linear and Logistic Regression 13. Chapter 10: Time Series Analysis: Statistics, Plots, and Forecasting 14. Part 4: The Other Way Around – Calling R and Python from Excel
15. Chapter 11: Calling R/Python Locally from Excel Directly or via an API 16. Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study
17. Chapter 12: Data Analysis and Visualization with R and Python in Excel – A Case Study 18. Index 19. Other Books You May Enjoy

Automating Further – Task Scheduling and Email

Sometimes, we can spend countless hours tediously creating, formatting, and emailing Excel spreadsheets. Well, fret no more! With the power of programming, specifically R or Python, you can effortlessly automate these mundane tasks and reclaim your precious time.

Imagine this: you have a list of sales data that needs to be organized into a professional-looking spreadsheet and sent to multiple recipients via email. Instead of slogging through manual data entry and formatting, you can leverage the prowess of R or Python to simplify your workflow.

In R, you can use the amazing taskscheduleR package to schedule tasks and run your script automatically at specified times. With this, you can set up a recurring job to generate your Excel spreadsheets and send them out without lifting a finger. For emailing, you can employ the RDCOMClient, Windows365R, or blastula packages, which allow you to interact with Outlook and Gmail directly...

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