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Extending Excel with Python and R

Extending Excel with Python and R

By : Steven Sanderson, Kun
5 (5)
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Extending Excel with Python and R

Extending Excel with Python and R

5 (5)
By: Steven Sanderson, Kun

Overview of this book

– 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.
Table of Contents (20 chapters)
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1
Part 1:The Basics – Reading and Writing Excel Files from R and Python
6
Part 2: Making It Pretty – Formatting, Graphs, and More
10
Part 3: EDA, Statistical Analysis, and Time Series Analysis
14
Part 4: The Other Way Around – Calling R and Python from Excel
16
Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study

Installing and understanding the tasksheduleR library

The taskscheduleR R package allows you to schedule R scripts or processes with the Windows task scheduler. This means that you can automate R processes on specific time points from within R itself. The package is basically a wrapper around the Schtasks.exe functionality. Schtasks.exe is a command line tool that allows you to create, delete, query, change, run, and finish scheduled tasks on a local or remote computer. To use taskscheduleR, you first need to install the package from CRAN. Once the package is installed, you can use the following functions to schedule R scripts:

  • taskscheduler_create(): This function creates a new scheduled task.
  • taskscheduler_remove(): This function removes an existing scheduled task. If you are using version 1.8, then the function is taskscheduler_delete().
  • taskscheduler_get(): This function gets the information about an existing scheduled task.

The taskscheduler_create() function...

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