Visualizing Temporal Data
Temporal data is data in which values depend on time and time is explicitly recorded.
Some datasets that have temporal data include:
business
natural phenomena
behavior/movement
traffic/mobility
finance
medical/healthcare
In general, there are 2 types of temporal data:
Event Data: Every object in the data represents an event. It is described using time+attributes. Event data is usually of the form "something happened at time T" Examples: incidents, tweets, messages etc.
Measurement Data: It is described as time+measure(s). It is of the form "This value at time T". Examples: temperature, stock values, revenue etc.
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