Billionaire rankings interactive data explorer
Ranking's of the worlds richest people, animated and interactive. Sort by various categories or show data as a visual dot plot or on a world map with an interactive change over time feature.
Urban Diary Aquarium
Saturday track record of three participants of the UrbanDiary project recorded in London. The data is plotted with the z-axis representing time of the day. The time frame in this case is 24 hours and starts from the bottom at 00h00 passing the time upwards to 24h00. Each participant has a time reference icon over the home location, where the journey starts and ends.
There is one female and two male participants, of whom the female and one male participant have family. The single male goes in to work just as normal although it is a Saturday and returns home in the afternoon to do some sport activity locally where he lives. His journey starts at 08h23, ends at 17h19 and travels around 15 km. The woman does some local activities with her family and travels in to her workplace briefly later on. She starts her day at 07h01, ends at 20h09, and covers 30 km wile traveling. The Second male participant spends his day in the local area. This journey starts at 11h45, ends at 18h53, and measures 5 km.
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.
Circular timeline and bubble chart
The outer circle illustrates presidential periods, the governing party, and whether or not the President died in office. The first inner circle shows the "eras" in history that those time periods covered. The third inner circle shows key foreign conflicts and wars. The fourth inner circle (purple) shows key legislative acts (or series of bills) that were issued. Finally, the bubbles in the middle indicate the average national debt, as indicated every 8 years.
World Bank Data Visualizer
The World Bank has created a complex visualisation tool to make available 49 indicators for 209 countries and 18 aggregates from 1960-2007. Data includes social, economic, financial, information & technology, and environmental indicators. The visualisation is completely customizable bubble chart in the spirit of 'gapminder' and the user selects the x and y axis dimensions as well as the variable that determine the size of the bubbles and the time point to be displayed.
Interactive bar chart
This online tool combines several sources of information to display life tables in the form of interactive barcharts where the user can select how life expectancy is affected by age, gender and behaviour. The screenshot shows the probability of survival of the class of 25 year olds in England and Wales who are non-active smoker
Local crime mapping
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.
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.
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.
Time series plot
This plot represents the outcome of a forecasting model a with simulated data set. The orange region show the confidence intervals for the forecast.