Normalizing sparse time series with Timelion
Blog post from Elastic
Rashid Khan's blog post discusses how to deal with sparse time series data in Timelion, illustrating the challenge of visualizing data collected at one-minute intervals when a per-second rate is desired. The author explains how Timelion initially misrepresents such data by showing zeros for most seconds and how to correct this by using the .if() function to replace zeros with nulls. Khan warns against using linear interpolation, as it inaccurately inflates data, and instead advises distributing the total data evenly using .fit(scale) to maintain accuracy. The post concludes by demonstrating how to ensure a consistent per-second rate display with the .scale_interval(1s) function, highlighting how Timelion’s features can be applied to normalize sparse datasets and adapt them to various resolutions.
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