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.
Annotated tables and charts
Presentation of range of visual outputs looking at the housing market. Analysis is annotated in order to help users understand the significance of what is being displayed.
Bar line chart
Chart comparing house prices to income for South East and England over a time period.
US housing market figures dashboard on data360.org.
Percentage of 16 year olds achieving 5+ GCSE grades A*-C, comparing Oxford DC and Brighton & Hove UA.
This infographic looks at changes in home ownership and renting over the century, in England and Wales. It also looks at important policies and economic events which impacted on ownership and renting over the period. There is a focus on changes in ownership and renting over the decade to 2011, where home ownership fell for the first time since 1918.
Interactive line chart
This is an interactive line graph that displays information about the unemployment rate in the US during the last 2 years in terms of ethnicity, gender, age and education level. Whereas this type of information can be displayed simultaneously using a contingency table, the line graph allows the introduction of time a visualisation dimension that allows to easy grasp of the changes and relative comparison with the desired population breakdowns.
Interactive map and time series (Flu trends)
This map presents an estimate of the intensity of the flu in 20 countries, compared with data for the last six years. The upper panel is a line graph showing the current and past trends of flu intensity by country. The lower panel is the choropleth map with the shading corresponding to the intensity of the flu. The innovative feature of this visualisation is the underlying method of estimation: the intensity of the flu has been approximated based on the number of internet based queries submitted during a certain period of time. Analyses of past data have shown that this method offers good predictions of real levels of the illness.
Interactive time line tool
The 'Who Had It Worse' Time Machine. A tool from Canada that allows users to select their graduating year and compare the financial situation against the graduating class of 1976 and see 'Who had it worse?'
Interactive time series
This visualisation offers some specialised information about a couple of economic indicators: cumulative percentage of change of some currencies against the dollar and the annualized percentage of change in exports. The information is displayed for six developing economies as a way to show the relationship between monetary policy (adopting floating currencies) and the change in the exports. It gives detailed information for each country in order to convey its message to a relatively specialized audience.
Labour Market Infographic
An infographic overview of the UK labour market including showing how both unemployment and employment can increase.
Language usage chart
Charts the usage of certain phrases over time on historical and contemporary sources.
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).
This is a very rich infographic that combines several visualisation types: bubble chart, population pyramid, comparative line charts, a map, pie charts and it is additionally fully annotated. The picture itself is crossed by a line (without reference axis) that communicates the main message of the infographic: the rapid population growth experienced by the UK in recent decades. The supplementary charts display information about population proportions, population densities, age and gender structure, comparison between migration related and “natural” population change, fertility rates during the last 35 years and lastly population changes by government region during 2007-08. The display is very rich and is successful at grabbing’s the reader’s attention by offering an appealing combination of related data.
Visualisation used to show the relative position of research objects. In the example there are four brands rated for several dimensions in a survey.
Share line chart
Chart showing the employment composition of the most employment deprived areas over time.
Scatterplot is used to compare of driving habits and petrol prices. Each point in the plot is joined to the previous years point, with the drawn path indicating order in time.