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Data smoothing

10
Volume
+194%
Growth
exploding

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About the Topic

Statistical technique used to remove noise from a data set, allowing important patterns to stand out. It involves creating a smooth curve that approximates the data points, with common methods including moving averages, exponential smoothing, and LOESS (Locally Estimated Scatterplot Smoothing). Data smoothing is particularly useful for analysts and researchers who need to identify trends and patterns in noisy data sets.

Data smoothing was discovered on May 1st 2023 and it currently has a search volume of 10 with a growth of +223%.

Key Indicators
Growth
  • Exploding
  • Regular
  • Peaked
Speed
  • Exponential
  • Constant
  • Stationary
Seasonality
  • High
  • Medium
  • Low
Volatility
  • High
  • Average
  • Low
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