Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity
Key Features
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
Book 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.
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
Who this book is 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.