This package identifies the day-level time-series outliers for a given dataset
Project description
Outlier Detection for Time-series Data
This package identifies the day-level time-series outliers for a given dataset.
DataFrame Arguments:
First column in the dataframe must be a date column ('YYYY-MM-DD') and second or the last column a count column.
Package Functions:
- detect_outliers(df): Detect outliers in a time-series dataframe using seasonal trend decomposition when there is at least 2 years of data, otherwise we can use Interquartile Range (IQR) for smaller timeframe.
- detect_ouliers_today(df) Detect outliers for the current date in a time-series dataframe.
- detect_outliers_latest(df): Detect latest outliers in a time-series dataframe.
- find_outliers_iqr(df): Detect outliers in a time-series dataframe when there's less than 2 years of data.
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