Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization

by Steven Sanderson, David Kun

Overview

For businesses, data analysis and visualization are crucial for informed decision-making; however, Excel’s limitations can make these tasks time-consuming and challenging. 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, the company behind the ownR platform engineering solution for R, Python, and other data science languages.
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. Whether you're a beginner or an expert, this book has 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.

Product Details

ISBN-13:	9781804615546
Publisher:	Packt Publishing
Publication date:	04/30/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	344
File size:	10 MB

About the Author

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.

Table of Contents

Table of Contents

1. Reading Excel Spreadsheets
2. Writing Excel Spreadsheets
3. Executing VBA Code from R and Python
4. Automating Further (Email Notifications and More)
5. Formatting Your Excel sheet
6. Inserting ggplot2/matplotlib Graphs
7. Pivot Tables (tidyquant in R and with win32com and pypiwin32 in Python)/Summary Table {gt}
8. Exploratory Data Analysis with R and Python
9. Statistical Analysis: Linear and Logistic Regression
10. Time Series Analysis: Statistics, Plots, and Forecasting
11. Calling R/Python Locally from Excel Directly or via an API
12. Data Analysis and Visualization with R and Python for Excel Data – A Case Study