Currently implemented data quality checks

A list of available checks is shown below:

Check	Description	Flag	Arguments	Check function	Target
Missing values	Checks for missing values on the data.	missing	completeness*	missing_values missing_values_data*	Constant, series** and dataseries*
Outlier values	Checks for outlier values on the data.	outliers	outliers_method, outliers_nstd, outliers_niqr	outlier_values	Constant and data
Series range	Checks if series is inside a range.	series_range	series_range_values	series_range	Series
Series monotony	Checks if series is monotonically increasing.	series_monotony		series_monotony	Series
Series increment type	Checks if series series increment type	series_increment	series_increment_type	series_increment_type	Series

* completness argument is only used for dataseries calling missing_values_data

** the check for missing values is always passed over series values as the missing values in the series dimesion have to be removed before passing other tests.

Information about each check argument is shown in the table below:

Argument	Check	Description	Possible values	Default
completeness	Missing values	If set to ‘any’ the check will fail if there is any missing value for any series value. If set to ‘all’ the check will fail if all the data values are missing for a given series value (column). It only has an effect when data is a matrix (2 or more dimensions).	‘any’ or ‘all	‘any’
outliers_method	Outlier values	The method to be used. Can be ‘std’ for standard deviation method or ‘iqr’ for interquartile range method.	‘std’ or ‘iqr’	‘std’
outliers_nstd	Outlier values	For ‘std’ method, the number of standard deviations to define outliers.	float > 0	2
outliers_niqr	Outlier values	For ‘iqr’ method, the number of interquartile ranges to define outliers.	float > 0	1.5
series_range_values	Series range	The minimum and maximum value of the series.	[float, float]	[-inf, inf]
series_increment_type	Series increment type	The series distribution. If ‘linear’ will check if the series increment linearly.	‘linear’	‘linear’