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You're reading from  Extending Excel with Python and R

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781804610695
Edition1st Edition
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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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Other visualization libraries

For completeness’s sake, here is a brief description of other popular libraries as well.

plotly

plotly is a popular Python library known for creating interactive and visually appealing data visualizations. It excels in generating dynamic charts, dashboards, and interactive plots. Unfortunately, the full power of the plotly library’s interactivity does not work seamlessly with the most recent versions of Excel, due to security considerations introduced by Microsoft. This limitation can hinder its integration into Excel for users who rely on the latest Excel features and functionalities. Since the focus of this book is enhancing your Excel-based workflows, we will not cover plotly in detail.

seaborn

seaborn is another Python library designed for statistical data visualization. While it offers a wide range of customization options and the ability to create complex plots, it often requires more code to achieve the same results compared...

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Extending Excel with Python and R
Published in: Apr 2024Publisher: PacktISBN-13: 9781804610695

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