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Smoothing and Downsampling For large enough datasets, Simple Random Sampling is a way to prune datapoints while avoiding systematic bias. In cases where the dataset is small enough, this may cause line visualizations to look different. For…

Gordon
Oct 28, 20251 min read

Smoothing and Downsampling

For large enough datasets, Simple Random Sampling is a way to prune datapoints while avoiding systematic bias. In cases where the dataset is small enough, this may cause line visualizations to look different.

For downsampling timeseries data, try the Largest-Triangle-Three-Buckets algorithm.

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