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Extending Excel with Python and R

You're reading from Extending Excel with Python and R

Product type Book

Published in Apr 2024

Publisher Packt

ISBN-13 9781804610695

Pages 344 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Steven Sanderson

David Kun

View More author details

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

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

Why subscribe?

19. Other Books You May Enjoy

Technical requirements

In this chapter, you can find all the code on GitHub at the following link: https://github.com/PacktPublishing/Extending-Excel-with-Python-and-R/tree/main/Chapter%2011.

You will need to install the following external software:

BERT, which can be found here: http://bert-toolkit.com/download-bert
Python and xlwings (refer to the Setting up an environment section)
plumber for R
FastAPI for Python

Let’s begin with the first part.

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Authors (2)

Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.

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See other products by Steven Sanderson

David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.

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