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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

Other visualization libraries

For completeness’s sake, here is a brief description of other popular libraries as well.

plotly

plotly is a popular Python library known for creating interactive and visually appealing data visualizations. It excels in generating dynamic charts, dashboards, and interactive plots. Unfortunately, the full power of the plotly library’s interactivity does not work seamlessly with the most recent versions of Excel, due to security considerations introduced by Microsoft. This limitation can hinder its integration into Excel for users who rely on the latest Excel features and functionalities. Since the focus of this book is enhancing your Excel-based workflows, we will not cover plotly in detail.

seaborn

seaborn is another Python library designed for statistical data visualization. While it offers a wide range of customization options and the ability to create complex plots, it often requires more code to achieve the same results compared...

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