OECD Presentation Paris Dec 1, 2008 · important discoveries are captured into snapshots together...

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Analyse, Collaborate and Publish Statistics for Measuring Progress in our Society using Storytelling

“Tools used by experts but communicate with the citizens”

Storytelling by Professor Mikael Jern

The most ancient of social rituals

Agenda

Advanced Statistics Web Visualization tools that also support storytelling and sharing stories;

What tools and methods are required?

Collaborating through Storytelling and Publishing dynamic Visualizations embedded in html;

Applied Flow Map Visualization to trade and migration;

Live Demonstrations;

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http://ncva.itn.liu.se/

Applied Research based on geovisual analytics in close collaboration with governments and companies since 2000

Campus Norrköping with Science Park

May 2010Spin-off company to focus on

Advanced Statistics Web Visualization and guaranteefurther development and support to customers

http://ncomva.com/ http://ncomva.se/

Campus Norrköping with Science Park

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NCVA started in 2008 to provide OECD with advanced interactive Web-based visualization statistical tools:

After the Stockholm meeting

OECD RegionalStatistics

Factbook eXplorer

NComVA continues in 2010 to provide OECD with advanced interactive Web-based visualization statistical tools:

PISA education data

Flow Map

Interactive documents

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The Storytelling Loopmake discoveries through trends and patterns and derive insight

The Storytelling Loopimportant discoveries are captured into snapshots together with your descriptive metadata

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The Storytelling Loopshare with colleagues and reach consensus and trust for your discoveries

The Storytelling Loopdeploy your story based on interactive “Vislets” embedded in html – two levels of collaboration

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Statistics eXplorer architecture

Web compliant advanced interactive statistical visualization; Visualizations employ in-house developed GAV Flash tools

optimized for Adobe© ActionScript and Flash 10 / Flex 3 platform; Server application with anywhere accessibility; Interact with large spatio-temporal and multidimensional data;

Server application

From National to Sub-national regional developmentInteractive performance becomes an issue

Ageing population (65+) in Europe and Sweden

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From National to Sub-national regional developmentAgeing population (65+) in Sweden (10,000 zip code regions)

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Customizable Statistics eXplorerSame generic application is used by OECD, ISTAT and small municipalities

Statistics eXplorer Wizard semi-automatically creates the application

Customizable Statistics eXplorerSame generic application is used by OECD, ISTAT and small municipalities

Statistics eXplorer Wizard semi-automatically creates the application

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Interactive motion Statistics Visualization for the Web Applied innovative methods from Information and Geographical

Visualization e.g. table lens, profile plot, scatter matrix, dynamic histogram, glyphs etc. applied and customized for statistics data;

Statistical data is simultaneously explored through multiple-linked and coordinated views and Screen space usage is optimized for visualization no unnecessary visible GUI panels;

Interactive motion Statistics Visualization for the Web

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Visual inquiry and conditioned statistics filter mechanisms that help detecting outliers;

European TL3 Regions with negative Migration Net Flow


Dynamic Colour Legend - facilitating statistical methods for class value calculations and scientifically tested perceptual acceptance of colour scales and a filter mechanism attached to legend;

Migration net flows


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Support for Map layers with opacity control

Support for Map layers with opacity control

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Dynamic motion visualization simultaneously in all views;

Fertility Rate vs. Pop 0-14 1960-2008 (South Africa, Nigeria, Italy and China – Worldbank Data


Tell a story about fertility rates in the world 1960-2008South Africa Italy Nigeria China

fertility

age 0-14fertility rate

fertility

time

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Interactive Histogram

Interactive Histogramdistribution Plot

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Parallel Axes Plot or “Profile Plot”each line represents a EU TL2 region

each axis represents an indicator

compare two profiles Berlin and London against 6 indicators and mean values

age 0-14 age 65+ GDP per capita unemploym. labor prod tertiary edu.

Category Supportfilter based on categories

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GAV Flash toolkit with layered architecture

From Static Reports to Dynamic Web Reports

http://stats.oecd.org/OECDregionalstatistics/

http://stats.oecd.org/OECDregionalstatistics/

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SmartDoc research development since 2004

Explore, Collaborate and Publish Official Statistics for Measuring Progress in our Society using Storytelling

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Explore, Collaborate and Publish Official StatisticsIntegrate dynamic visualization with Storytelling

Publishing statistics information requires Storytelling

GAV Flash (eXplorer) has an architecture supporting Storytelling;

Capture the current application state for all views;

Dataset, map positions, scatter plot axes, time step – everything is saved as a “snapshot”;

Stories with metadata are saved as XML files

and can then be shared with colleagues;

and finally turned into html code;

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Storytelling requires a Snapshot Mechanism to capture important events

time, region (s), methods, indicator, colour, ..

Statistics eXplorer – analytic and authoring toolStep 1

Select regions and indicators to be analysed – here OECD eXplorer

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Select regions and indicators to be analysed

Statistics eXplorer – analytic and authoring toolAnalyse data and gain insight and understanding with suitable visual methods

Step 2

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Statistics eXplorer – analytic and authoring tool

Story Editor

metadata

hyperlinksto snapshots

Start writing your Story - Story Editor

Step 3


Start writing your Story – use snapshots to highlight (capture)

special interesting insights, time steps and regions

Step 4

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Reduce indicators to what your story needs Step 4a

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Share the Story with expert colleagues and reach

consensus and trust – The Story is imported by your

colleagues with OECD eXplorer and evaluated and if

needed updated and returned to the author with comments

Returned comments

“Wrong data 2006 for

2 Italian TL2 regions –

here is new data”

Step 5

Returned comments

“added a new Snapshot

highlighting London age

group15-64 ”

Statistics Publisher – Publish the Story

Import Story - Select visualization methods for Vislet

Step 6

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Preview Vislet

Step 6a


Produce the HTML code

HTML code

Step 6b

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Embed (drop) the HTML code in a Blog (or any web site)

HTML code

Step 7


A Vislet with Metadata is now Published

Step 8

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and here with Histogram and Scatter PlotAll OECD TL2 regions

Step 8a


and here html code is inserted into a web page

Step 8b

HTML code

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DemonstratorStep 8c

HTML code that relates to eXplorer, GIS, Data, and Vislet

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Why is Storytelling about Statistics important?

Mechanism to save insight and trends from an exploration process and highlight important discoveries;

Transfer an expert’s understanding into knowledge;

Discoveries that engagingly draw us into reflections about the knowledge on how life is lived - and can be improved;

Invite the reader to dynamically participate in this visual statistics discovery process;

Help advancing technology critical to the education, collaboration and dissemination of official statistics by means of advanced web-enabled tools;

Flow Map Visualization

Minard’s visualization of French wine export 1864

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Migration Net Flow for Europe TL3 regions

Red means negative migration

Interaction Table

Flow Map MigrationFrom origin (focus) Oslo to Sweden

Origin“Oslo” Destination

“Stockholm”

Weighted arrows displayed as quadratic Bezier curves - can also be adjusted dynamically and edited individually to reduce clutter

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Net Migration Swedish Counties with Stockholm as origin

Net Migration Swedish Municipalities with Norrköping as origin

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Flow Map MigrationSwedish working people tend to commute to Norway

Integrate with Histogram to see actual Commuting values

Flow Map CommutingFrom Sweden region to Norway

Interactive slider controls top ”from” and ”to” destinations

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Flow Map VisualizationWorld Trading - Collaboration between OECD and NComVA

Trading with focus Germany 1988-2008


Trading with focus Japan 1988-2008

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Trading with focus Japan 1988-2008

Flow Map VisualizationWorld Trading - Collaboration between OECD and NComVATrading with focus Germany 1988-2008 to Nordic Countries

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Exploration and presentation of flow data – Web enabled through Flash;

Interaction with reasonable large volume of spatio-temporal and multivariate flow interaction table with interactive performance;

Background map layers, e.g. Google map or Bing map, for identifying the name of a geographic location;

Linked histogram to see order and magnitudes;

Animation of flow time series;

Time series glyphs to see changes over time;

Flow Map VisualizationDEMONSTRATOR

Trading with USA in focus 1988-2008

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Find and explore the top dominating movements (flows) in a certain time period?

Select an origin, then explore flows originating from that origin to destinations and invert flows from the destination to the origin; find and explore the top dominating flows originating from the origin; compare flows forth and back between the origin and other destinations?

Find hubs which have large number of people work commuting to or from;

Gain insight why people tend to move from a location to another location?

How do flows vary over time? Communicate discoveries with other users

User interaction controls answering important questions about flow data


http://NComVA.com

Thank you......

The most ancient of social rituals

OECD Presentation Paris Dec 1, 2008 · important discoveries are captured into snapshots together...

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