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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

Embedding visualizations into Excel

When working with Python libraries such as matplotlib and plotnine to create visualizations, you might want to seamlessly integrate these visualizations into your Excel reports or spreadsheets. Embedding these plots and charts into Excel can be a valuable addition to your data analysis toolkit. In this section, we’ll explore the fundamentals of embedding matplotlib and plotnine visualizations into Excel, helping you leverage the power of Python’s data visualization libraries alongside Excel’s reporting capabilities.

A basic embedding process

The process of embedding matplotlib and plotnine visualizations into Excel typically involves exporting your plots or charts as image files (such as PNG or JPEG) and then importing these images into your Excel sheet. While this approach doesn’t offer the same level of interactivity as some other methods, it’s a straightforward way to enhance your Excel reports with data...

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