Financial Visualization Case Study: Correlating Financial Timeseries and Discrete Events to Support Investment Decisions

In financial time series visual data analysis, there are many potential data elements to display, including continuous quantitative data and discrete event data. Bloomberg has designed and implemented a scalable visual representation for the depiction of many discrete time stamped events in use by hundreds of thousands of financial markets experts. This visualization enables a single screen to visually organize a large volume of event data, to facilitate inference through visual alignment of related data, and to provide a workflow from the single point of access to a wide variety of detailed information. It allows an order of magnitude more event types to be associated with time series data.