Downsampling methods

EveryMeasure is designed to work well with data sets of any size - from tens of data points to tens of millions of data points.  In order to efficiently navigate large data sets, EveryMeasure utilizes downsampling when charting data.

Two downsampling methods are available -  Simple smooth and Preserve peaks.  User can switch between downsampling methods at any time by pressing the gear icon above the chart and selecting the desired sample method and number of samples.  Additionally, users can select the number of samples to return to further balance fidelity vs performance.

Preserve peaks

Preserve peaks is the default downsampling algorithm. This algorithm tries to retain visual similarity between the downsampled data and the original dataset.  It uses the Largest Triangle Three Buckets algorithm.

Simple Smooth

Simple smooth uses the ASAP Smoothing algorithm to preserves the approximate shape and larger trends of the input data, while minimizing the local variance between points.