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Statistics eXplorer

 

Interactive Statistical Visualization using Adobe Flash

Statistics eXplorer integrates many common InfoVis and GeoVis methods required to make sense of statistical data, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge. Statistics eXplorer was developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. It also supports multiple linked views and integrated storytelling with a snapshot mechanism for capturing discoveries made during the exploratory data analysis process which can be used for sharing gained knowledge.

The eXplorer applications are available on the NCVA/LiU web site for educational and research usage only.

Statistical eXplorer Overview

Figure: Statistics eXplorer applications involve the integration of important visualization and analytics taxonomy required to make sense of statistical data – to pursue questions using several famous GeoVis and InfoVis methods, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge.

Statistics eXplorer is a web compliant application suite that enables the statistics visualization of socio-economic information at national or detailed territorial level providing clear insight on regional differences and performance within a country and comparison of different areas across countries. Statistics eXplorer enables users to explore simultaneously spatial, temporal and multivariate data (both numeric and categorical) from multiple perspectives, to discover interesting relationships, to share their incremental discoveries with colleagues and finally to communicate selected relevant knowledge to other users. A Statistics eXplorer application is composed of GeoAnalytics Visualization (GAV) components facilitating a broad collection of dynamic visualization methods developed and integrated for use with the Adobe Flash and Flex development platform. In this respect, Statistics eXplorer represents a leading edge tool being adapted to the Internet and used as a web-enabled toolkit by many international (OECD, IMF, Eorostat,..) and national organizations.

Learn more about eXplorer through these 2 videos:

Introduction to eXplorer      eXplorer Data Management

The first version of Statistics eXplorer was released in November 2008 installed at the OECD web-site and was named named OECD Regional eXplorer - see: http://www.oecd.org/gov/regional-policy/regionalstatisticsandindicators.htm . Several extended versions has been released that enhances the possibility to explore trends over time, provides novel functions for presenting stories about the statistics and combines metadata and maps status.

Further developments during 2009-2010 (and through spin-off company NComVA 2010-2012) resulted in the creation of a generic highly interactive web “eXplorer” platform Customizable Statistics eXplorer and the following special eXplorer versions: World eXplorer,  Sverige eXplorer, Europe eXplorer and MDim eXplorer available on the web site.

These eXplorer applications are available on the NCVA/LiU web site for educational and research usage.

 

Load Statistical Data direct through the World Bank interface or your own EXCEL file

World dataBank Interface

Figure: Multivariate spatio-temporal statistical data can be imported using various types of Excel formats or direct from the to the World dataBank through an API interface. This statistical data interface will always give you direct access to the latest data from the World dataBank http://databank.worldbank.org/data/home.aspx

Explore, present and communicate

Interactive controls enable the user to enter a visual dialog with the data using a well-known information visualization seeking rule: “analyze first, show the important, zoom, filter and analyze further, details-on-demand”. Visualization methods also provide the foundation for using multiple linked and coordinated views and in the Statistical eXplorer framework applied together with combinations of brushes realizing the overall concept of our framework. The eXplorer applications demonstrates this concept to simultaneously present, explore, and analyze different aspects of multivariate data. The views are used adjacent to each other and include map, scatter plot, bar chart with fish eye view, time graph, parallel coordinates, distribution plot, data table etc. Interesting subsets of the data are interactively selected and brushed, and the relations are investigated in all the linked views. A data-of-interest method is used in all linked views to visually separate interesting data features from the rest of the data.  To accomplish this the eXplorer framework uses focus&context defined within information visualization such as the fish eye technique in bar graphs and dynamic queries in parallel coordinates, table lens and an attached color legend extending the analysis capabilities to scenarios with larger data sets.

  1. Import statistical data through Excel, SDMX, PC AXIS or World Databank;
  2. Explore and make discoveries through trends and patterns and derive insight
  3. Create a story
  4. Share the story with colleagues and reach consensus and trust. Visual discoveries are captured into snapshots together with descriptive metadata and hyperlinks in relation to the analytics reasoning. The author gets feedback from colleagues and then adapts the story

Storytelling Loop

 

Figure: The eXplorer analytical storytelling loop – A Story with snapshots and metadata is created in the eXplorer Story Editor – Story is saved and can be shared with colleagues to reach consensus – The Story can be accessed by the public.

Learn more about Storytelling in this video: Storytelling Video

 

eXplorer versions at NCVA LiU

 

 

Figure: Statistics eXplorer World (nations), Europe (regions), Sverige (counties and municipalities) and MDim (no geographical regios) versions available at NCVA/LiU for education and research

Read Paper about:

 

Visual Storytelling applied to Spatio-temporal and Multi-dimensional Scientific Business or Statistics Data.pdf

 

Available geovisual analytics methods in eXplorer

geovisual analytics methods applied in eXplorer


Figure: The following geovisual analytics methods are available and applied in eXplorer applications. MDim eXplorer also the Treemap.

 

Links to other public Statistics eXplorer applications: 

Statistikatlas (SCB)

Statistikatlas explores statistical data for Swedish municipalities and counties.

Visit SCB Web site for more information and demonstrators: Statistikatlas

This municipality map of Sweden shows statistics from the SCB Statistical Database. 

 Sweden eXplorer with ageing people 1990-2008

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


OECD Regional eXplorer

OECD eXplorer (OECD web site)

OECD Regional eXplorerFigure: OECD TL3 (simular to Eurostat NUTS3) showing ageing population (65 and above). The Distribution plot shows that Germany and Spain has regions with highest rate of elderly people.

OECD countries have experienced a growing interest in regional development in recent years. The performance of regional economies and the effectiveness of regional policy help determine a nation’s growth and shape the measure of well-being across countries. For the past years the OECD has been studying regional disparities and development patterns in its member countries in order to evaluate innovative strategies and diffuse successful policies.

The OECD Regional database is a unique source of statistical information at sub-national level for all the OECD Countries. It contains yearly time-series for around 40 indicators on demography, economy and labour market opportunities, environment, social issues and innovation related activities for more than 1,700 regions of the OECD countries. Regions within each OECD country are classified on the basis of two territorial levels: the higher level (TL2) consists of 335 large regions while the lower level (TL3) is composed of 1,679 small regions. This classification, adopted in many countries in the design of regional policy, facilitates greater comparability of regions at the same territorial level. The OECD regional database is available on the Statistical Portal at the OECD website http://stats.oecd.org/OECDregionalstatistics/#story=1

 


OECD Factbook eXplorer

Factbook eXplorer256 preloaded time-related indicators for exploring OECD countries. The most comprehensive data source for exploring socio-economic statistics for OECD countries.
Below you find two versions: the OECD Factbook's official Web site and the OECD Factbook eXplorer.

The image shows fertility rates vs. employment for women 1970-2006.

 OECD Factbook eXplorer(world map) http://stats.oecd.org/oecdfactbook/


Göteborg eXplorer

Goteborg eXplorerGöteborg Stad Inkomst Stadsdelar

Göteborg City is a close collaboration partner to NCVA with long experience in statistics visualization. For more information contact:

Jonas Andersson | Samhällsanalys & Statistik

Göteborg Stad

 

 

 

 

 

 

 


Dual eXplorer appied in Västra Götaland

Dual eXplorer

Figure: Dual eXplorer explores 2 data set simultaneously Regional and Point data.The second data is here represented by Food Companies in the Västra Götaland County.

Learn more at: http://www.vgregion.se/sv/Vastra-Gotalandsregionen/startsida/Regionutveckling/Publikationer-statistik/Fakta-och-statistik/


Swedish Zip Code Regions

This is another collaborative Visual Analytics project between Statistics Sweden and NCVA/NComVA providing visualization methods for BIG data here represented by more than 10,000 geographical zip code regions and associate indicators.

Learn more at: BIG Data Geovisual Analytics

Swedish Zip CodesFigure: Visit SCB Web site for demonstration: http://www.scb.se/sv_/Vara-tjanster/Regionala-statistikprodukter/Marknadsprofiler-/Postnummer--och-SAMS-atlasen/

 

Statistics Sweden has provided geographical borders and indicators for almost 10,000 Swedish zip code regions. The above figure shows indicator "purchase power". Indicators about population ages, education and housing is also available.

 


Page manager: mikael.jern@liu.se
Last updated: 2014-01-10