Data Visualizations with ggplot2, Top DataViz People on LinkedIn, Book of the Week
Rami Krispin
Senior Manager - Data Science and Engineering at Apple | Docker Captain | LinkedIn Learning Instructor
This week's edition is dedicated to data visualizations ????
?? Daily updates on ???? Instagram, Threads , and Facebook ??
Open Source of the week
With this week's focus on data visualization, here is one of the main data visualization open-source projects:?ggplot2 . ggplot2 is an R library that provides an implementation of?Leland Wilkinson 's?Grammar of Graphics, ?created by?Hadley Wickham ?in 2005. The grammar of graphics framework enables users to create graphs seamlessly by using different elements of the grammar of graphics. This concept is demonstrated in the library documentation and illustrated in the below image:
In addition to its core functionality, the ggplot2 has a rich ecosystem with more than 135 official extensions . This includes applications for specific domains such as time series and survival analysis, built-in themes, and specific types of visualizations (i.e., density plots, treemaps plots, etc.).
Getting Started with ggplot2
If you are new to ggplot2, the library documentation is the first place to get started with the library. The following repository provides a curated list of awesome ggplot2 tutorials, extensions, and other resources:
In addition, there are a ton of books focusing on data visualization with ggolot2. Most of them have free online versions. We will review one of those in the Book of the Week section.
The Grammar of Graphics in Other Languages
While the ggplot2 library is the main implementation of the grammar of graphics, there are implementations of the grammar of graphics in other languages:
Top Data Visualization People on LinkedIn
Following my list of GIS data visualization people I follow on LinkedIn in edition 3 , this week, I want to focus on the top data visualization people I follow on LinkedIn. I apologize in advance if I missed some other great experts in this domain.
Allison Horst
Allison Horst, PhD is a data scientist, educator, and DevRel at Observable . She posts regularly about data visualization topics, particularly dashboard design, and tutorials for the observable plot JS library. In addition, Allison uses her amazing artistic skills to explain data science concepts on her website .
领英推荐
Ansgar Wolsing
Ansgar Wolsing is a Director of Data & Analytics at Kaiser X Labs. He regularly posts about data visualization and storytelling, mainly through R and ggplot2. You can find some awesome examples of his work on his GitHub account from the 30-day chart and maps challenges.
Cara Thompson
Cara Thompson is a data visualization consultant with an academic background. She posts regularly about data visualization, particularly about data visualization with ggplot2. You can find great examples of her data visualization work on her?website .
Cédric Scherer
Cédric Scherer is a data visualization specialist and educator. He is one of the organizers of the?30-Day Chart Challenge ?and a ggplot2 expert. He posts regularly about his work and great data visualization tips. You can find great examples of his work on his website .
Deepali Kank
Deepali Kank is a Data Visualization Specialist and Data Analyst at Revisual Labs. She actively participates and shares in the TidyTuesday data visualization challenge using a variety of data visualization tools such as Tableau, ggplot2, and Observable Plot. You can find more about her great work on her website .
Nicola Rennie
Nicola Rennie is a Lecturer in Health Data Science at Lancaster University. She posts regularly and shares tutorials about data science, in particular, data visualization topics. You can find some of her great data visualization work on her website .
Tanya Shapiro
Tanya Shapiro is an Independent Data Consultant and Data Visualization Engineer. She posts about a variety of data visualization topics, such as interactive data visualizations and dashboards with R and Observable JS. You can find more about her work on her website (check out the Pelaton dashboard!).
Book of the Week
The first data visualization book I read at the beginning of my data science career was the R Graphics Cookbook by Winston Chang . The book provides practical examples of data visualization applications in R using ggplot2.
The book covers the following topics:
The book is available for free online and in hard copy on Amazon .
Have any questions? Please comment below!
See you next Tuesday!
Thanks,
Rami
Data Visualization Specialist | Helping you to communicate data—with confidence
1 个月Thank you Rami Krispin for the mention and your continuous contributions to the data science community! Always great to see your stuff, no matter on which platform ??
Equitable Equations: data science for everyone
1 个月Cool!
Analytics Leader | Analytics & Data Strategy | Data Visualization | Data Science
1 个月Christina Li
I build scalable mobile apps in weeks, enabling long-term growth for startups | Leading technical teams effectively to drive success.
1 个月Great to see ggplot2 getting some love! Data visualization is such a crucial skill for communicating insights effectively. For those looking to level up their dataviz game, I highly recommend exploring the Grammar of Graphics concept and experimenting with different chart types to find what best tells your data's story.
Full Stack Developer | Software Developer | Scrum Master | Business Intelligence (BI)
1 个月As I know, there is a vast community to find help with ggplot2 with examples and tutorials. Several extensions are available: ggthemes, ggrepel and gganimate. I enjoyed reading this.