How can I clean time series data?
Cleaning time series data requires multiple stages. First, identify and manage missing values by either imputing or deleting them. Then, look for and address outliers that might bias the analysis. Next, guarantee homogeneity in time intervals by interpolating or aggregating data as necessary. Normalise or scale the data to facilitate comparisons. Detrend the data to eliminate any long-term...
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