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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 using styledTables in R

As we have done before, we will need to install the necessary packages before we can use them. In this section, we are going to install the styledTables package. Because styledTables is not on CRAN, we cannot install it using the typical method of using the install.packages()function, so we will need to install this package from GitHub. This will require us to also install the devtools package, which has the functionality to do this very sort of thing.

Here is the full code you’ll need to install the package:

install.packages("devtools")
# Install development version from GitHub
devtools::install_github(
'R-package/styledTables',
build_vignettes = TRUE
)

After running the preceding code, we can call the library into the current session in the typical fashion by issuing library(styledtables) in the console. Now that we have loaded the library in, we can go ahead and create our first script, which will style a...

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