A tool for analyzing and visualizing temporal descrete events.
This tools allows the user to inspect events in various forms, to see the interactions of events of various types by looking at them temporally, by looking at consecutive patterns and co-occurring patterns and by inspecting the overall duration or count of events througout time.
It also allows simple manipulations of the data such as grouping of adjacent similar events and deciding on co-occurrence and consecutive events thresholds
- Distribution of events
- Consecutive events analysis
- Co-occurring events analysis
- SQL querying on dataset
- Context (time in day, day, holidays, season, weather, location and more)
- Various sequential rules discovery algorithms
- Common co-occurring and consecutive patterns discovery
You can see a live example of the tool on ShinyApps (a bit slow but works): [https://omrimendels.shinyapps.io/eventsvis/]
In addition, it allows you to group adjacent similar events together (to ignore the effect of multiple events calls that are actually one event in reality).
Which events occur after others? Notice the cluster around kitchen activity
Which events co-occur together with others? Notice the cluster/clique around kitchen activity and around living room activity
Clone the github repo to your PC. Should work on Windows/Mac/Linux, tested on Windows Option 1: Open the project in R studio, open the server.R file and click on the play button.
Option 2: Install the 'shiny' package and call
R -e "shiny::runApp('~/eventsVis')"
or change '~/eventsVis' to the app path.
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