> For the complete documentation index, see [llms.txt](https://vikram-bajaj.gitbook.io/cs-gy-6313-information-visualization/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vikram-bajaj.gitbook.io/cs-gy-6313-information-visualization/visualizing-temporal-data.md).

# 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.