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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

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€33.99

Building Interactive Dashboards in Microsoft 365 Excel

€22.99

€37.99

Total € 94.97

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Shipping Details

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

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Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Amazon Customer Jun 17, 2024

### 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

Maxim Jun 17, 2024

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.

Taylor Balfanz Jun 13, 2024

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.

Gustavo May 15, 2024

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.

Jay Jul 27, 2024

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!

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

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