640 x 480 x 117 = 35,942,400 --- # Present many numbers in a small space -- --- # Present many numbers in a small space --- # Make large data sets coherent --- # Tell a story https://www.youtube.com/watch?v=jbkSRLYSojo&t=30s --- # Tell a story --- # Tell a story --- # Tell a story --- # Tell a story --- # Tell a story --- # As simple as possible... --- # As simple as possible... --- # As simple as possible... --- # As simple as possible... --- # As simple as possible... --- # As simple as possible... --- ## _“Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.”_ Antoine de Saint-Exupéry --- # But no simpler... -- --- name: borkin # Colour ![borkin](borkin01.png) --- # Colour ## Rainfall --- # Colour ## Rainfall --- # Colour ## Rainfall --- # Example of bad visualisation http://www.investmentzen.com/data-visualization/average-household-debt-in-america/ --- # Techniques of a good visualisation ## Natural mappings --- # Highlight relevant information --- # Make comparisons clear --- # Make comparisons clear --- # Make the scale clear --- # Make the scale clear --- # Colour should add meaning (not detract) --- # Use conventions --- # Many ways to display different dimensions See: tmean_aust_12mo.mp4 --- # Many ways to display different dimensions --- # Many ways to display different dimensions --- # Breaking the rules --- # _Simplicity is the ultimate sophistication_ _Leonardo da Vinci_ --- # Hall of Fame Scale of the Universe = http://htwins.net/scale2/ Weather = https://earth.nullschool.net/ What's really warming the world = https://www.bloomberg.com/graphics/2015-whats-warming-the-world/ 2014 Was the hottest year on record - https://www.bloomberg.com/graphics/2014-hottest-year-on-record/ 3 Brown 1 Blue: https://www.youtube.com/watch?v=PFDu9oVAE-g&t=1m20s --- # All visualisations are wrong ### All models are wrong... ### _George Box_ -- #### The only question of interest is "Is the model illuminating and useful?". -- ### Is the visualisation illuminating, useful, and does it have integrity? --- class: center, middle # Thank You ## visualisation@martinschweitzer.com ### Slides: `schweitzer.id.au/visualisation` --- # Resources Video on creating a new colour scheme: https://www.youtube.com/watch?v=xAoljeRJ3lU Wind History (Wind roses): http://windhistory.com/map.html#9.00/43.6408/-74.5970 The Visual Display of Quantative Information: https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142/ref=sr_1_1 Evaluation of Artery Visualizations: http://iis.seas.harvard.edu/papers/2011/borkin11-infoviz.pdf Hans Rosling - https://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen#t-594220 Cape town drought graph: https://www.wunderground.com/cat6/its-true-cape-towns-water-supply-three-months-away-shutdown Rainfall Deficiency Analyser - http://www.bom.gov.au/climate/ada --- Wind barbs from: http://wx4cast.blogspot.com.au/2011/10/how-to-read-skew-t-log-p.html Chart Suggestions - A thought starter come from here: http://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf Bloomberg - Hottest year on record: https://www.bloomberg.com/graphics/2014-hottest-year-on-record/ Where does your food come from: https://www.businessinsider.com.au/the-27-worst-charts-of-all-time-2013-6#theres-a-lot-going-on-with-this-bloomberg-chart-that-doesnt-seem-like-an-evenly-cut-lamb-chop-and-while-im-not-a-biologist-i-have-a-strong-feeling-an-onion-is-not-a-melon-4 Chernoff faces: By Avenue - Own work, Public Domain, https://commons.wikimedia.org/w/index.php?curid=10201490 --- # Books Cole Nussbaumer-Knaflic: Storytelling with Data: A Data Visualization Guide for Business Professionals Visualize this Show me the numbers Tufte: Beautiful Evidence Tufte: The Visual Display of Quantitive Information ---