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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
Authors (2):
Steven Sanderson Steven Sanderson
Profile icon Steven Sanderson
David Kun David Kun
Profile icon David Kun
View More author details

Table of Contents (20) Chapters

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

Summary

In this chapter, we explored the process of importing data from Excel spreadsheets into our programming environments. For R users, we delved into the functionalities of libraries such as readxl, xlsx, and openxlsx, providing efficient solutions for extracting and manipulating data. We also introduced a custom function, read_excel_sheets, to streamline the process of extracting data from multiple sheets within Excel files. On the Python side, we discussed the essential pandas and openpyxl packages for Excel manipulation, demonstrating their features through practical examples. At this point, you should have a solid understanding of these tools and their capabilities for efficient Excel manipulation and data analysis.

In the next chapter, we will learn how to write the results to Excel.

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Extending Excel with Python and R
Published in: Apr 2024 Publisher: Packt ISBN-13: 9781804610695
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