# 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.
