1st Edition
The Art of Data Visualization with ggplot2 The TidyTuesday Cookbook
Preface Acknowledgements Author 1 Introduction I Common charts don’t need to be boring! 2 Programming languages: dumbbell charts with ggplot2 3 UK museums: highlighting line charts with gghighlight 4 Bee colony losses: visualizing quantities with Poisson disk sampling 5 Animal shelter intakes: making gauge charts with ggforce II Making use of icons fonts and text 6 Canadian wind turbines: waffle plots and pictograms 7 Cats: data-driven annotations with ggtext 8 Nobel Prize laureates: positioning text and parameterizing plots III Working with images 9 Lemurs: manipulating images in R 10 R packages: using images for custom facet labels IV Visualizing spatial data 11 Doctors across the world: making maps with ggplot2 12 Time zones: spatial data and mapping with sf 13 US House elections: geography on a grid with geofacet 14 Other tips and tricks Bibliography Appendix Index
Biography
Nicola Rennie is a data visualization specialist and enthusiast, with an academic background in mathematics and statistics. She holds a PhD in Statistics and Operational Research, which focused on analysing and visualising transport demand. She is particularly interested in how we use data visualization to communicate complex, quantitative information in an accessible way, as well as the intersection of visualization and art. She has experience of teaching at both undergraduate and postgraduate level, in courses covering fundamentals of data science, statistical methods, and programming. Nicola has also previously worked in data science consultancy, and delivered training courses covering topics including advanced data visualization with R, statistical modelling, and reproducible reporting. She is the author and maintainer of several R packages, including multiple ggplot2 extension packages. Nicola is a regular speaker at R and data science meetups, has been the chapter organizer of R-Ladies Lancaster, and part of the R-Ladies Global Team. She is co-author of the Royal Statistical Society’s Best Practices for Data Visualisation Guide, and is an active member of the Royal Statistical Society. Several of her data visualizations have been long-listed at the Information is Beautiful Awards.
