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Space, Time, and Antony

Space, Time and Antony

Visualizing Then and Now,

Here and There



Who is Antony Unwin?

• There is no ‘H’ in ‘Antony’

• Otherwise you might find …



QuickTime™ and a decompressor

are needed to see this picture.



Hmmm…

• Without a statistical background, we might just pick the most likely results:– “ANTHONY”– Bimodal distribution of ages– Born in 1908, 1978– Happy 32nd or 102nd birthday!

• Does “Anthony Unwin” have a web page?



Anthonyunwin.com





Fortunately, we are statisticians

• WWAD [What would Antony Do]?1. Get good data2. Look at the data3. Validate the data4. Build models5. Look at the model results6. Validate the model results7. Don’t trust a model more than the data



Some Data on Antony

• Sample Papers from 1991 onwards

• Look at the data



All Y

ears



1991



1999



2001



2007



All Y

ears



Space and Time

• Base data shown is TEXT x TIME• This relates back to early work I did with

Antony on DIAMOND FAST, exploring time series data.

• The “eyeballing time series” paper exhibits several features later made popular by Shneiderman …



Visual Information-Seeking Mantra

Overview first

Zoom and filter

Then details-on-demand

Shneiderman, 1996



Unwin, 1988

• Eyeballing Time Series

“Explore, Interrogate and Manipulate Data Series

Graphically”



Overview First



Overview First







Zoom and Filter• “Changing time scaling … can be done dramatically by a

factor of 10 with a single click or more precisely by dragging a scaling bar. Here are two views of monthly Canadian unemployment data. The graph on the left of Figure 2 shows all 20 years of the series (240 points) but has been crushed into a very short time-scale. The overall trend and range of seasonality are clearly shown.

• The graph on the right of Figure 2 shows only some of the series, just under two years, at a scale 100 times bigger. The points have been marked to emphasise the effect”





Details on Demand





+ Modeling







Space and Time

• Statistical Graphics are a SPACIAL layout of glyphs based on a mapping from data.

• Studying geographic visualization informs on statistical visualization.

• A second project followed Diamond Fast: REGARD



What did REGARD introduce?

• Linked views:– “Details-on-demand” on steroids– Mix Statistical Graphics and Domain-Specific

Graphics– New ways of displaying data subsets

• Spatial Data– Layers: Multiple elements for different data









Model Spatial Correlation

• Domain views: variogram cloud, map view

• Link to map view with edge element

• Show selected subset in linked views



Linking



Districts of the city of Dublin showing areas with high levels of average income.



Showing Selections







REGARD





Plus ça change, plus c'est la même chose•Wills, G. (2010) Visualizing Time Springer, 2010

•Wills, G., and Wilkinson, L. (2010) Autovis: Automatic Visualization Information Visualization, December 18, 2008•Wilkinson, L and Wills, G. (2008) Scagnostics Distributions Journal of Computational and Graphical Statistics, Volume 17; pp.473-491

•Graham J. Wills (2008) Linked Data Views Handbook of Data Visualization; Chen, Haerdle and Unwin•Wills, Graham J. (2002) Visualization Handbook of Data Mining and Knowledge Discovery

•Wills, Graham (2009) Visualizing Network Data Encyclopedia of Database Systems, Wills, Graham (2009) Visualizing Hierarchies Encyclopedia of Database Systems, •Graham Wills (2006) Networks Graphics of Large DataSets; Unwin, Theus and Hofmann (eds)•Wills, Graham J. and Keim, D. (2002) Data Visualization For Domain Exploration: Interactive Statistical Graphics Handbook of Data Mining and Knowledge Discovery.



Visualizing Time; Chapter 7



Space and Time;Overviews








Aligned Views;Overviews








Details on demand








Don’t trust the model more

than the data



Final Lessons

Antony is also close to data; stay there also

Look at the data many ways with appropriate tools and plots



Final Lessons

Variables + Models = INFORMATION

Statistics, analysis and procedures must be close to representations and must be investigated for features, errors and ideas
















are needed to see this picture.QuickTime™ and a

decompressorare needed to see this picture.

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