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. 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. 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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