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Extending Excel with Python and R
Extending Excel with Python and R

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

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Profile Icon Steven Sanderson Profile Icon Kun
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (5 Ratings)
Paperback Apr 2024 344 pages 1st Edition
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Arrow left icon
Profile Icon Steven Sanderson Profile Icon Kun
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (5 Ratings)
Paperback Apr 2024 344 pages 1st Edition
eBook
$24.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$24.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m

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Extending Excel with Python and R

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Key benefits

  • Perform advanced data analysis and visualization techniques with R and Python on Excel data
  • Use exploratory data analysis and pivot table analysis for deeper insights into your data
  • Integrate R and Python code directly into Excel using VBA or API endpoints
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

– 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.

Who is this book for?

– If you’re a data analyst or data scientist, or a quants, actuaries, or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python, this book is for you. – The comprehensive approach to the topics covered makes it suitable for both beginners and intermediate learners. – A basic understanding of Excel, Python, and R is all you need to get started.

What you will learn

  • Read and write Excel files with R and Python libraries
  • Automate Excel tasks with R and Python scripts
  • Use R and Python to execute Excel VBA macros
  • Format Excel sheets using R and Python packages
  • Create graphs with ggplot2 and Matplotlib in Excel
  • Analyze Excel data with statistical methods and time series analysis
  • Explore various methods to call R and Python functions from Excel

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 30, 2024
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781804610695
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Product Details

Publication date : Apr 30, 2024
Length: 344 pages
Edition : 1st
Language : English
ISBN-13 : 9781804610695
Category :
Languages :
Concepts :
Tools :

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Table of Contents

19 Chapters
Part 1:The Basics – Reading and Writing Excel Files from R and Python Chevron down icon Chevron up icon
Chapter 1: Reading Excel Spreadsheets Chevron down icon Chevron up icon
Chapter 2: Writing Excel Spreadsheets Chevron down icon Chevron up icon
Chapter 3: Executing VBA Code from R and Python Chevron down icon Chevron up icon
Chapter 4: Automating Further – Task Scheduling and Email Chevron down icon Chevron up icon
Part 2: Making It Pretty – Formatting, Graphs, and More Chevron down icon Chevron up icon
Chapter 5: Formatting Your Excel Sheet Chevron down icon Chevron up icon
Chapter 6: Inserting ggplot2/matplotlib Graphs Chevron down icon Chevron up icon
Chapter 7: Pivot Tables and Summary Tables Chevron down icon Chevron up icon
Part 3: EDA, Statistical Analysis, and Time Series Analysis Chevron down icon Chevron up icon
Chapter 8: Exploratory Data Analysis with R and Python Chevron down icon Chevron up icon
Chapter 9: Statistical Analysis: Linear and Logistic Regression Chevron down icon Chevron up icon
Chapter 10: Time Series Analysis: Statistics, Plots, and Forecasting Chevron down icon Chevron up icon
Part 4: The Other Way Around – Calling R and Python from Excel Chevron down icon Chevron up icon
Chapter 11: Calling R/Python Locally from Excel Directly or via an API Chevron down icon Chevron up icon
Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study Chevron down icon Chevron up icon
Chapter 12: Data Analysis and Visualization with R and Python in Excel – A Case Study Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(5 Ratings)
5 star 100%
4 star 0%
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1 star 0%
Amazon Customer Jun 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
### Exciting Book Review for Amazon 📊📈**Extending Excel with Python and R** by Steven Sanderson and David Kun is a game-changer! This incredible guide shows you how to integrate Python and R with Excel, automating tasks, performing advanced analyses, and creating stunning visualizations. Perfect for data enthusiasts, it covers everything from VBA macros to time series forecasting. Elevate your data skills and make Excel even more powerful. Highly recommended! 📚✨
Amazon Verified review Amazon
Maxim Jun 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a Stats major. During my Senior year I took lots of R, Python and Advanced Excel classes. This book covers most of the things that I learned in college and provides code examples that you can use if you want to practice Data Analysis in Python. Great resource if you want to learn Data Science and Data Automation at your own pace.
Amazon Verified review Amazon
Taylor Balfanz Jun 13, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a must-read for any data enthusiast or professional seeking to enhance their analytical capabilities. This book seamlessly bridges the gap between Excel and the powerful programming languages Python and R.The book is well-structured, guiding the reader through the integration of Python and R with Excel step-by-step. Each chapter builds on the previous one, ensuring a solid understanding of the material. The practical examples and real-world case studies included in the book are particularly beneficial, as they illustrate the application of the concepts in a tangible way.Another noteworthy aspect of this book is its comprehensive coverage. It not only covers the basics but also delves into advanced topics, ensuring that readers gain a thorough understanding of how to leverage Python and R to extend Excel’s functionality. From automating repetitive tasks to performing sophisticated data analysis, the book equips readers with the knowledge needed to effectively increase their data analysis capabilities.
Amazon Verified review Amazon
Gustavo May 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is very complete and takes you from very basic tasks like loading data from excel sheets to Python and R until more complex ones, such as VBA coding and automation.I especially liked the chapter about Time Series.Good book to Excel users to get started with programming languages.
Amazon Verified review Amazon
Jay Jul 27, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I did pick this without thinking too much. I am pleasantly surprised by the content in here. I did think people might wonder why do you need Excel if you know Python and R, right? Well, my perspective was in 90% of jobs around the world, excel is going to be go to for majority of folks, that's how you submit reports to management or share stuff with other teams, and knowing to connect R and Python to do the analysis as a plugin to Excel can help a lot! Was surprised how much of the complex excel stuff you can automate easily with Python and R. Helped a ton with automating some of the stuff I never thought about previously. Great read!
Amazon Verified review Amazon
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