Choosing visual properties for successful visualizations

by IBM

Oct 01, 2013

Download The world produces more than 2.5 exabytes of data every day. Visualization is one key approach to gaining insight from this mountain of data. It enables you to see the trends and patterns (along with gaps and outliers) in the data that are not as easily identified in rows and columns of numbers.

Visualization can also provide access to huge data sets, such as weather, web traffic, sales and voting records. Data sets of this size have the potential to be overwhelming and inaccessible; a good visualization provides a way to explore, understand and communicate the data, along with actions the data indicate should be taken. For example, there are visualizations that show past prices for airline tickets and prices for future travel dates. From this sort of visualization, you can see whether ticket prices are trending upwards or downwards and you have guidance when considering tickets for different possible travel dates. A list of ticket prices wouldn?t be nearly as compelling or useful as showing the price variations with graphs.