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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 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 19. Other Books You May Enjoy

Creating and manipulating Excel sheets using Python

In this section, we will explore how to create and manipulate Excel sheets using Python.

Exporting data to Excel is a common requirement in various data analysis and reporting scenarios. Excel provides a familiar and widely used interface for data visualization, sharing, and further analysis.

We’ll cover various tasks in the sections ahead, including creating new workbooks, adding sheets to existing workbooks, deleting sheets, and manipulating data within an Excel workbook. Python provides several libraries that make these tasks straightforward and efficient. But first, let’s understand why we need to export data to Excel.

Why export data to Excel?

Exporting data to Excel offers several benefits. Firstly, Excel provides a user-friendly environment for data exploration and visualization, allowing users to easily sort, filter, and analyze data. Additionally, Excel’s rich formatting capabilities make...

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