Dynamic query tools for time series data sets: Timebox widgets for interactive exploration Harry Hochheiser Ben Shneiderman. Presented by Justin Domke. Motivation. Data that changes over time is common. Algorithmic and statistical methods are good at answering questions.
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Presented by Justin Domke
but can only display a limited amount of data
Query the data!
niis an item in a time series data set
ni(t) is the value of ni at time t
A timebox is a 4-tuple b = (tmin, tmax, vmin, vmax)
nisatisfiesb if for all t, tmin ≤ t ≤ tmax, vmin≤ ni(t) ≤ vmax
A variable time timebox is a 5-tuple b = (tmin, tmax, vmin, vmax,R)
there exists t0, tmin ≤ t0 ≤ tmax- R, such that
for all t, t0 ≤ t ≤ t0+R, vmin≤ ni(t) ≤ vmax
An angular query widget is a 4-tuple b = (tmin, tmax, θmin, θmax)
nisatisfiesb if for all t, tmin ≤ t ≤ tmax, θmin≤ φ(ni(t), ni(t)) ≤ θmax
Where φ is the angle formed on the graph.
(Were the users already familiar with timeboxes?)