Author Description

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: