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.