April 2015

For the Dutch Ministry of Education, Culture and Science we developed an interactive site to browse through a huge amount of data on educational institutes and the many different courses organised by these institutes.
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Financial Dashboard

June 2014

For a client we developed a treemap-based financial dashboard. The screendump gives an impression of the dashboard, displaying information such as market share for industries. For obvious reasons, the information is anonymized.

Contact us if you want your data to be presented in your own treemap-based dashboard.
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Treemap-based dashboard

Youth Unemployment

May 2014

The graphic shown is one of a series of visualizations on youth unemployment, created for the Dutch Ministry of Social Affairs and Employment. This one graphically expresses the percentage of youth (age 15-25) being unemployed in relation to the total population of that age.
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Education Flows

December 2013

This visualization is part of a study on streaming characteristics in the Dutch education system for the Dutch Ministry of Education, Culture and Science. This graph shows the relationship between the choice of a subject combination in highschool and the universities students with this subject combination joined. Highlighted are the flows from the subject combination "economy and society".

Many interactive graphs of this kind were generated of which we show only one here.

Education streams

OECD International Trade

April 2013

This visualization uses data from the OECD statistical database on trade among countries. It uses two interactive treemaps to display the import and export to and from a country of interest and the industries that were involved.
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DANS EASY experiments

March 2012

For the Dutch Data Archving institute (DANS) we studied the metadata of the DANS EASY data archive. The result shown here displays datasets in a treemap together with a graph showing the categories they were assigned to.

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All the experiments of the project can be found here.

Dutch Parliamentary Election Studies

June 2011

In 2012 we visualised some of the results of the Dutch Parliamentary Election Studies, integrated datafile 1970-2006. This interactive visualisation displays 5 variables, political party, provence, gender, education and urbanisation, and their relationships. The data for this visualisation was retrieved from the DANS EASY data archive
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Dutch Professions

January 2011

This visualization uses a treemap, map and population pyramidto displays the professions of the Dutch people in 1899. This visualization shows the power of connecting different representation methods to browse multidimensional data.
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Dynamic news map

February 2010

This dynamic news map displays Google news scaled by number of articles. One can leave it open in the browser to see the news change.

This visualization was active on this site from 2010 to 2015.

Newsmap, us version

Dutch neighbourhood improvement program

December 2009

This visualization shows data about the neighbourhood improvement program of the Dutch ministry of Housing, Spatial Planning and the Environment. We played around with a few variables on living, work, education, safety, health and debts. Data for each neighbourhood can be compared with the mean value for the Netherlands as a whole and the mean values for each municipality.
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Living taxes

August 2009

This example uses a hierarchical bar chart to show the amount of local tax paid by a Dutch household in the Netherlands by province and municipality for 2008 and 2009 based on data from the Dutch association of house owners. Go to visualization (Flash)... »

Fuel consumption

June 2009

This graphic displays the fuel consumption of cars in a hierarchical bar chart. The idea behind this visualization is that you can see at the same time the fuel consumption on a more detailed level (per car type) and at a higher level (per manufacturer or the mean for all cars).
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Internet population

April 2009

Based on global indicators from the UNSD we calculated the number of internet users per country from 1990 to 2005. Viewing the data in percentage mode, you can see that the US became less dominant over years and users from countries such as China and India were increasingly populating the internet. Using the interactive legenda you can play with the data per continent. Go to visualization (Flash)... »