Extending Excel with Python and R

Extending Excel with Python and R

eBook Details:

  • Paperback: 344 pages
  • Publisher: WOW! eBook (April 30, 2024)
  • Language: English
  • ISBN-10: 1804610690
  • ISBN-13: 978-1804610695

eBook Description:

Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization. Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity.

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.

  • 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

By the end of this Extending Excel with Python and R 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.

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