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Data Visualization 2013

New course at BME
by

Zoltan Prekopcsak

on 28 February 2013

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Transcript of Data Visualization 2013

Trend Analysis and Visualization Visualization 15.02.2013. - 06.03.2013. Zoltán Prekopcsák (prekopcsak@tmit.bme.hu) intro charts chartjunk time-series multidim software & tools why? goal BI subfields examples perception A picture is worth a thousand words.
/Chinese proverb/ As the Chinese say, 1001 words is more than a picture.
/John McCarthy/ parallel processing by the human eye
high bandwidth to the brain Not the creation, but the information content we can understand images much faster
and more efficiently The main goal of data visualization is to communicate information clearly and effectively through graphical means.
/Vitaly Friedman/ Time to create Time to understand Text Picture 20min 60min 10min 2min Speech 10min 10min BI: Data driven business decisions

finding patterns and trends in data

this course is about trend analysis
both numerically and visually Infovis / Infographics Datavis commonly used in newspapers
created by graphics departments
sometimes statistically incorrect creating standard graphs and charts
input is usually larger
generalized infovis solutions Scientific visualization medical science, chemistry, etc.
usually 3D models
speeds up expert processes Processing images First we need to store the information in memory:
sensory memory (iconic memory - 0.5s) preattentive processing, first impression
short term memory (storing 5 to 9 chunks) memorizing different concepts
long term memory Preattentive features Features that we can process without attention:
color (some components)
form (area, length, etc.)
position (absolute and relative)
movement Testing color features color blindness Spatial position Movement flickering, blinking
spatial movement test: count light grey squares 1983 Dimensionality reduction FS - Feature Selection

PCA - Principal Component Analysis

MDS - Multidimensional Scaling Dashboards
analytical
strategical
operational Recent trends:
lots of dashboards
interactivity
moving charts
collaboration
infographics Gestalt principles Figure-Ground and Closure Proximity
Similarity
Figure-Ground
Symmetry
"Common Fate"
Closure http://en.wikipedia.org/wiki/File:Minard.png http://www.theyrule.net/ http://www.wefeelfine.org http://visualization.geblogs.com/visualization/kitchen/ http://www.visual-literacy.org/periodic_table/periodic_table.html Tor Nørretranders http://visual.ly Multifunctional graphical elements http://www.babynamewizard.com/voyager Visualization Leaders Collaborative Tools Programming environments Infographics websites http://visual.ly/whats-smaller-apple
http://visual.ly/google-behind-numbers http://goo.gl/vWbfG visualizing.org
Full transcript