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You're reading from  Extending Excel with Python and R

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781804610695
Edition1st Edition
Concepts
Data Analysis
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Authors (2):
Steven Sanderson
Steven Sanderson
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Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

David Kun
David Kun
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David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun

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Using the GGally package in R

At its core, GGally is an extension of the immensely popular ggplot2 package in R. It takes the elegance and flexibility of ggplot2 and supercharges it with a dazzling array of functions, unleashing your creativity to visualize data in stunning ways.

With GGally, you can effortlessly create beautiful scatter plots, histograms, bar plots, and more. What makes it stand out? GGally simplifies the process of creating complex multivariate plots, saving you time and effort. Want to explore correlations, visualize regression models, or craft splendid survival curves? GGally has your back.

But GGally is not just about aesthetics; it’s about insights. It empowers you to uncover hidden relationships within your data through visual exploration. The intuitive syntax and user-friendly interface make it accessible to both novices and seasoned data scientists.

What’s even better is that GGally encourages collaboration. Its easy-to-share visualizations...

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Extending Excel with Python and R
Published in: Apr 2024Publisher: PacktISBN-13: 9781804610695
© 2024 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

author image
David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun

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