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

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781804610695

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Excel

Concepts

Data Analysis

Authors (2):

Steven Sanderson

David Kun

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Table of Contents (20) Chapters

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

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19. Other Books You May Enjoy

Executing VBA Code from R and Python

Integrating different programming languages can unlock powerful capabilities and streamline workflows. When it comes to working with Excel files, Visual Basic for Applications (VBA) is a popular choice for automating tasks. However, there are scenarios where you may want to execute VBA code from within R or Python, harnessing the strengths of these languages for data manipulation, analysis, and visualization.

Executing VBA code from an Excel file through R or Python provides a flexible approach to leverage existing VBA macros or extend the functionalities of Excel. This integration enables data scientists, analysts, and developers to seamlessly incorporate Excel files into their workflows, combining the strengths of VBA with the analytical capabilities of R or Python.

By executing VBA code from R or Python, you can automate complex processes, perform data manipulations, generate reports, and interact with Excel’s features programmatically...

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Table of Contents (20) Chapters

Executing VBA Code from R and Python

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