Front cover image for Fundamentals of data visualization : a primer on making informative and compelling figures

Fundamentals of data visualization : a primer on making informative and compelling figures

C. Wilke (Author)
"Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization."--Provided by publisher
eBook, English, 2019
First edition View all formats and editions
O'Reilly Media, Inc., Sebastopol, CA, 2019
1 online resource (xvi, 370 pages) : colour illustrations, maps
9781492031055, 9781492031031, 1492031054, 1492031038
1090130155
Introduction. Ugly, bad, and wrong figures
Part I. From data to visualization. Visualizing data: Mapping data onto aesthetics
Coordinate systems and axes
Color scales
Directory of visualizations
Visualizing amounts
Visualizing distributions: histograms and density plots
Visualizing distributions: empirical cumulative distribution functions and q-q plots
Visualizing distributions at once
Visualizing proportions
Visualizing nested proportions
Visualizing associations among two or more quantitative variables
Visualizing time series and other functions of an independent variable
Visualizing trends
Visualizing geospatial data
Visualizing uncertainty
Part II. Principles of figure design. The principle of proportional ink
Handling overlapping points
Common pitfalls of color use
Redundant coding
Multi-panel figures
Titles, captions, and tables
Balance the data and the context
Use larger axis labels
Avoid line drawings
Don't go 3D
Part III. Marcelino's topics. Understanding the most common used image file formats
Choosing the right visualization software
Telling a story and making a point