Data Visualisation Resources

Graphics Principles
Novartis materials 
•       Excellent source
•       Pharma-relevant examples
Chart Guide
•       Interactive guide for choosing graph type
•       Printable poster
Coding Reference (R)
RStudio Data Visualisation Cheatsheet
•       ggplot2 overview (poster)
Look at Data
•       Practical data visualisation using R
Coding Reference (SAS)
SAS data visualization
•       Overview of SAS graphics tools
Graphically Speaking
•       Active forum for users of SAS ODS    Graphics
Perry Watts Library
•       Unstructured collection of papers on SAS graphics
Graph Samples Gallery (SAS Support)
•       Example SAS code
•       Unstructured
•       Not pharma-specific
Robert Allisons SAS Graphics  Examples
•       Example SAS code
•       Unstructured
•       Not pharma-specific
Coding Reference (Python)
•       Unstructured gallery
•       Example python code
D3 Gallery
•       Extensive gallery of graph types
R graph gallery
•       Example R code (ggplot2 and base R)
•       Well structured
Color Brewer
•       Tool for designing colour palettes 
•       Easy to use for beginners
•       Tool for designing multi-hue colour palettes
•       More advanced tool
Adobe Color Wheel
•       Tool for designing colour palettes 
•       More advanced tool 
Color Oracle
Downloadable tool for simulating colour-blindness
Online Books
Winston Chang
R Graphics Cookbook
Claus Wilke
Fundamentals of Data Visualization



Alberti Cariro ‘How Charts Lie’
‘The Truthful Art: Data, Charts and Maps for Communication’
‘The Functional Art’
Winston Chang R Graphics Cookbook: Practical Recipes for Visualizing Data. USA: O’Reilly Media, Inc.: 2012
William S. Cleveland The Elements of Graphing Data Stephen Few ‘Show Me the Numbers: Designing Tables and Graphs to Enlighten’
‘Now You See It’
RM Heiberger, B Holland Statistical Analysis and Data Display: An Intermediate Course with Examples in R. New York: Springer; 2015 A Krause, M O’Connell A Picture Is Worth a Thousand Tables: Graphics in Life Sciences. New York: Springer Sciences & Business Media; 2012
Tamara Munzner Visualization Analysis & Design link Cole Nussbaumer Knaflic Storytelling with Data link
AK Peters Visualization Analysis and Design Sandra Rendgen History of Information Graphics
NB Robbins Creating More Effective Graphs. Hoboken, New Jersey: Wiley; 2012 Edward Tufte The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press 1983
John W. Tukey Exploratory Data Analysis. Reading, MA: Pearson; 1977 Wexler, Shaffer, Cotgreave The Big Book of Dashboards link
L Wilkinson The Grammar of Graphics. New York: Springer; 2006 Nathan Yau Visualise This


SP Duke, F Bancken, B Crowe, M Soukup, T Botsis, R Forshee Seeing is Believing: Good Graphic Design Principles For Medical Research Stat Med. 2015;34(22):3040-3059
M Krzywinski Elements of Visual Style Nat Methods. 2013;10:371
Hadley Wickham A Layered Grammar of Graphics. J. Computations and Graphical Statistics, Volume 19, Number 1, Pages 3-28
Swihart et al Lasagna plots: A saucy alternative to spaghetti plots. Epidemiology. 21(5): 621–625
Vandemeulebroecke et al. How can we make better graphs? An initiative to increase the graphical expertise and productivity of quantitative scientists. Pharmaceutical Statistics 18(1), 106 - 114
Amit et al Graphical Approaches to the Analysis of Safety Data from Clinical Trials. Pharmaceutical Statistics 7(1), 20-35
•       General principles
•       Diverse topics (non-pharma)
•       Journal of the Data Visualization Society
•       Diverse topics (non-pharma)
Data Stories
Storytelling With Data
Explore Explain
The Effective Statistician
CTSpedia: Clinical Trials Safety Graphics
•       Tool for selecting the right graph
•       Library of submitted examples
•       Other graphics resources
Frank Farrell
•       Short Graphics Course
•       Presentations
•       Technical reference
•       Miscellaneous graphics resources
Michael Friendly
•       Rich source of information on data visualisation principles and software
WTF Gallery
•       Gallery of bad graphics (for fun!)
Makeover Monday; Improving How We Visualize and Analyze Data, One Chart at a Time

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