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:
  1. 1.
    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.
  2. 2.
    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.