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EVENTIVe

CONDUIT Lab

Creator: Victoria Tolls

Last Updated: July 2018

Code for EVENTIVe, an event-based interactive data visualization platform. EVENTIVe is aimed at studying micro-decisions in the ICU, however, the event-based functinality can branch to other fields of research.

Contents:

callbacks.py - Contains the callback functions for widgets.

cpt_hrv.py - Not used in EVENTIVe, but rather pre-processing into event-based data. Pettitt changepoint calculation. Depends on r2py.

dotBoxplot.py - Modified boxplot Bokeh visualization.

download.js - Javascript code to download a subset of data from a Bokeh ColumnDataSource.

heatmap.py - Heatmap visualization with dendrogram hierarchical clustering.

helpers.py - Helper functions used in main.py and callbacks.py

indivStartCptPoint.py - Scatter plot with line of a time-series with percent change calculation, labelled startpoint and changepoint.

kmeansClustering.py - K-Means clustering with colour coded scatter plot.

main.py - Main function. Loads webpage layout with widgets and reads in data source.

pc_hrv.py - Percent change analysis for a time series.

stackedBarChart.py - Stacked bar chart visualization.

Dependencies: