Gallery: Government report

Measures how much knowledge on Millennium Development Goals between 2007 - 2008. Arrow highlights more detail (such as info on ethnicity) on the minority 'know more than 'very little''.

Percentage of 11 year olds achieving Level 4 or above in Key Stage 2 tests for English and mathematics in England.

Income Support claimants by ward decile and city type, 2004.

Proportion of the population with tertiary education in selected European counties, 2001.

Serious pollution incidents affecting water, air or land, 1993 to 2007.

Proportion of people claiming benefits in English cities, 2003.

Relationship between non-white population and level of deprivation (with different symbols for city types).

Chart measuring interventions which would have the fastest impact on the infant mortality target.

Area line chart showing change in housing completions for different time periods.

Comparing total recorded offence trend within each CDRP within Leicestershire compared to the overall county trend.

Frequency chart showing distribution of income for children and adults.

Female life expectancy at birth, inequality gap 1999/2000 to 2004/05.

Competitiveness Index in rural areas, 2006. The distribution curve in each graph hints at the overall performance and the spread of scores. The skew to the left or higher ranks on both the Overall Index of Competitiveness and the Input measures and the shorter tail confirming greater signs of health in rural local authorities on these measures, than the skew to the right or lower ranks and longer tail on the Output and Outcome measures.

An example of the use of a visualisation for demography. This pyramid is powered with interactive features to explore the poupulation structure in different territories of Australia.

This visualisation shows the volume of respondents with a particular view/experience and, within that, their characteristics. The vertical axes shows the value being measured (in this case annoyance by noisy neighbours). The Horizontal axis shows the numerical value of people responding to a particular level of the given value.

The graphic shows the number of claimant of benefits in the UK, according to the statistics available for the Budget 2010. The three lines represent the overall number of claimants (in pink, secondary axis, people moving off unemployment benefits (in red) and number of people coming on (in black).

Map with key to help identify the location of an area.

Map showing the ratio of overseas migrants to internal migrants across Local Authority Districts in England.

A survey gives a list of statements to choose from - from weak to strong statements. This shows that the sample was split between negative and positive views on the Government's role.

Shows how visualisations have changed over time. Use of photos to make the issue explicit.

Shows the sample's level of concern about poverty in poor countries. Sample is categorised between the sample's segments (eg., activists, sympathisers).

In the majority of cases qualitative data is presented like this. It is the text in its raw form although the quotes will be organised by theme, which is an important part of the analysis phase. It is also common to anonymise the quotes. In some cases, it is best to present the data like this; it contains the richness of meaning.

The West Midlands Regional Observatory summarizes information about several indicators across the region. In the screenshot, a comparative view of the proportion of people claiming Jobseekers allowance across the region

As part of the project ‘Mapping the UK's Research & Intellectual Property’, the Department for Business, Innovation and Skills has developed this interactive tool that combines several types of visualizations to offer a dynamic view of the subject in the UK. It shows through time the change of the hotspots and intensity of investment in several subjects: radio frequency identification, plastic and electronics, regenerative medicine and advanced composite materials. The map on the left shows the investment intensity in the form of hotspots located geographically and colour coded by subject. The panel on the right shows the cumulative investment in each subject.

This is a visualization technique developed to describe how performance varies across the 54 libraries in Leicestershire. From the report “Creating RF Plots for all libraries allows us to see variation within and between the different sites. Whilst the seven largest libraries dominate in terms of absolute numbers, scaling the colour scheme by a power function allows us to see variation amongst the smaller quantities” (p. 2).

Chart showing the proportion of an offence type within a particular CSP is significantly much higher, slightly higher, as expected, slightly lower or much lower compared to the profile of offences cross the whole county.

Chart showing the employment composition of the most employment deprived areas over time.

Retail activity in London.

This map is part of a series of visualisations aimed at giving an overall picture of public health in south east London. In this map, it is possible to see the prevalence of heart disease using the gradation of the colour in the area and the localization of hotspots. The atlas of health comprises several examples ranging from teenage pregnancy to socioeconomic classification of the habitants and it is a good example of the use of public information in a geodemographic context.

Stacked bar chart comparing citizens advice bureau issues for different geographical areas.