Event series occur whenever you observe or compute events that happen in time, including natural event series (sunrise, eclipse, earthquake, ...), social event series (start of recession, financial crossover, crime, ...), technological event series (server call, car passing, disk failure, ...), and medical event series (start of REM sleep, atrial defibrillation, getting sick, ...). Event series provide the data model that makes it easy to clean, process, visualize and model event series data.

Event Series Object

EventSeries — represent discrete events over time possibly with values for each event

EventSeriesQ — test validity of an event series object

HolidayCalendar   ▪ MergingFunction   ▪ TimeObservationWindow   ▪ ...

Event Series Data

ResourceData — get curated event series data from the Wolfram Data Repository

Tabular   ▪ EarthquakeData   ▪ FindAstroEvent   ▪ Databin   ▪ ...

"CSV" ▪ "XLSX"

Event Series Converters

TimeSeriesEvents — convert from TimeSeries by finding events

EventSeriesAccumulate — convert to TimeSeries by accumulating data over time

ToTabular   ▪ FromTabular   ▪ ...

Event Series Data Cleaning »

TransformMissing — handling missing data values

TransformAnomalies   ▪ RenameColumns   ▪ CastColumns   ▪ PivotToColumns   ▪ ...

Event Series Visualization »

DateHistogram — histogram of event times

SmoothDateHistogram   ▪ TimelinePlot   ▪ ...

Histogram — histogram of event values

SmoothHistogram   ▪ BoxWhiskerChart   ▪ DistributionChart   ▪ ...

DateListPlot — discrete time-value events

ListPlot   ▪ DateScale   ▪ ...

Event Series Statistics »

Mean — find the mean of component values

StandardDeviation   ▪ Variance   ▪ Median   ▪ Quantile   ▪ ...

Basic Event Series Processing

TimeSeriesWindow — the event series in the specified time window

TimeSeriesInsert — insert events into an event series

TimeSeriesRescale   ▪ TimeSeriesShift   ▪ TimeSeriesThread   ▪ TimeSeriesMap   ▪ TimeSeriesMapThread   ▪ MinimumTimeIncrement   ▪ RegularlySampledQ

Filtering & Aggregating Values

MovingMap — apply a function to a moving overlapping window

TimeSeriesAggregate — apply a function to a moving non-overlapping window

Differences   ▪ Accumulate   ▪ MovingAverage   ▪ MovingMedian   ▪ ...

LowpassFilter   ▪ HighpassFilter   ▪ MeanFilter   ▪ ...

NetworkPacketCapture — capture network packet events

FindAstroEvent — find dates of astronomical events

WhenEvent — detect and process events in differential equations, e.g. bouncing ball

RandomFunction — generate events from random processes

Related Guides

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• Time Series Processing
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• Date & Time Computations
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• Probability & Statistics
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• Random Processes
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• Signal Processing
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• Finance