Gallery: Dashboard
How to create your own
The National Policing Improvement Agency (NPIA) now provides crime mapping for all of the 43 police forces in England and Wales. Residents can search for a village, town, or postcode to access the latest information on a range of crime types and compare with other neighborhoods.
Data is mapped using Bing Maps, with time series trends shown for the different crime types.
Visual types:
Interactive dashboard of UK fatalities in Afghanistan and Iraq
An interactive dashboard, showing UK fatalities in Afghanistan and Iraq. Users can change the timeframe to explore changes over time.
Visual types:
map, bar chart, dashboard, combination chart, bubble map, time series plot
This is an interactive visualisation that allows the ranked display of information for most countries in the world on three dimensions: health, living standard and education. The data displayed is available through the United Nations Development Programme and goes from 2003 to 2008.
Visual types:
This is an online application that presents backdated meteorological data from Augsburg, Germany. The tool combines the advantages of several static visualisations, such as tables, line graphs and bar charts into a streamlined display. The application is fully interactive and allows the user to look at the information from any angle she wants, literally.
Visual types:
bar chart, line chart, dashboard, combination chart, time line, 3d object representation
Oldham Neighbourhood Wellbeing Index. A modified traffic light scheme is used in the maps with red - indicating rates ranked in the highest 10% band, amber - the high 11-25% band, light green - the low 11-25% and dark green - indicating rates ranked in the lowest 10%. In maps displaying rates across the four themes, neighbourhoods with rates ranked in the 26-74% band are white, whereas in maps of trends and sudden changes, those neighbourhoods are shaded yellow, whilst those in white show no trend or sudden change. White is also used for neighbourhoods where no persistently high or low rates are detected. It is in this way that the maps themselves act as visual exception reports.
Visual types:


