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 FREE CHAPTER

2. Chapter 1: Reading Excel Spreadsheets

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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Summary

In this chapter, we embarked on a journey to harness the power of pivot tables through the capabilities of R and Python. Pivot tables – indispensable tools in data analysis – offer a dynamic means of summarizing and exploring vast datasets. By mastering the techniques outlined in this chapter, you’ve unlocked the full potential of pivot tables, enabling you to automate their creation, manipulation, and enhancement.

We began by introducing the significance of pivot tables in data analysis and established a foundation for our exploration. With a focus on practicality, we guided you through the installation of essential libraries, ensuring that your R or Python environment is well prepared to tackle the intricacies of Excel.

Building pivot tables from scratch was our first venture, providing you with the fundamental knowledge to select data sources, arrange rows and columns, and customize the table’s appearance. We left no stone unturned in demystifying...