Shiny based tool for discrete temporal events visualization

[Omri Mendels]

Hi,

I recently finished working on a tool that might be relevant to you if you're working with temporal discrete events (or intervals).

It fills a need that most time series packages don't which is dealing with discrete time series rather than continuous.

For example, you could see patterns of co-occurring events, consecutive events, differences in distributions between sessions in your data and more.

Could be useful if you're into analyzing/modeling:

- Human behavior

- Cyber security

- IoT

- Any other discrete events data that has a value, start and end times attributes

Check it out here: https://github.com/omri374/eventsVis

An example (based on the ADL dataset in UCI repo):

Patterns of consecutive events (Markov chain like):

Patterns of co-occurring events:

Events timeline:

Any feedback is mostly welcome!

Omri

link: https://github.com/omri374/eventsVis

[Jonathan Rosenblatt]

Very cool!

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Jonathan Rosenblatt

Dept. of Industrial Engineering and Management

Ben Gurion University of the Negev

www.john-ros.com