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Extending Excel with Python and R

Extending Excel with Python and R

By : Steven Sanderson, Kun
5 (5)
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Extending Excel with Python and R

Extending Excel with Python and R

5 (5)
By: Steven Sanderson, Kun

Overview of this book

– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.
Table of Contents (20 chapters)
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1
Part 1:The Basics – Reading and Writing Excel Files from R and Python
6
Part 2: Making It Pretty – Formatting, Graphs, and More
10
Part 3: EDA, Statistical Analysis, and Time Series Analysis
14
Part 4: The Other Way Around – Calling R and Python from Excel
16
Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study

Creating pivot tables with Python: the basics

Pivot tables are an indispensable tool in the world of data analysis. They provide a dynamic way to summarize, explore, and gain insights from complex datasets. However, when dealing with extensive data, setting up and customizing pivot tables can be a time-consuming and error-prone process, often requiring manual intervention.

In this chapter, we’ll explore how Python, in combination with the win32com and pywin32 libraries, can streamline and automate the creation and management of pivot tables. This powerful combination empowers data analysts and professionals to efficiently process large volumes of data without the need for repetitive, manual tasks.

Imagine being able to create pivot tables, apply advanced calculations, and refresh data with just a few lines of Python code. This is precisely what we aim to achieve in this section. We’ll equip you with the knowledge and tools to harness the full potential of pivot...

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