"Data visualization is the use of tools to represent data in the form of charts, maps, tag clouds, animations, or any graphical means that make content easier to understand. Graphic representations of data are popular because they open up the way we think about data, reveal hidden patterns, and highlight connections among elements. Because current web applications allow anyone with access to data to enter information and easily create a virtualization of it, students, informal learners, and the purely curious can now easily create visualizations that might reveal trends that were not obvious from the numbers alone. For scholars, particularly those whose conclusions depend on interpretation of complex statistics, data visualization offers the promise of easier communication and a wider audience for their findings."
BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are provided in the Public Domain. More information about BioModels Database can be found in the FAQ.
The US state maps compare each state’s performance to the national average on key child health indicators from the National Survey of Children's Health (NSCH) and National Survey of Children with Special Health Care Needs (NS-CSHCN).
A web-service displaying time series of development statistics for all countries. This graph shows how long people live and how much money they earn. Click the play button to see how countries have developed since 1800.
Charts are a great tool for communicating information visually. On Onlinecharttool.com you can design and share your own charts online and for free. We support a number of different chart types like: bar charts, pie charts, line charts, bubble charts and radar plots.
R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques. R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form.