======= Boxplot ======= :doc:`/WorkProcessClassifiers/LocalAlgorithm/index` - :doc:`/WorkProcessClassifiers/OneDimensionalAlgorithm/index` *Boxplot* algorithm marks the lower quartile (:math:`Q1`\ ), the median (:math:`Q2`\ ), the upper quartile (:math:`Q3`\ ) of the given data set. The lower and upper inner fences are defined by :math:`L = Q1 - 1.5(Q3-Q1)` and :math:`U = Q3 + 1.5(Q3-Q1)`\ . Any data value beyond the fences are treated as a value outside the region of interest. .. rubric:: Input Parameters +--------------------+--------------------------------------------+----------------------------------------+--------------------------------------------------+---------+ | Parameter | Type | Constraint | Description | Remarks | +====================+============================================+========================================+==================================================+=========+ | :math:`Y` | :math:`Y \in \mathbb R^N` | :math:`N \in \mathbb{N}` | Input data sequence of length :math:`N` | | +--------------------+--------------------------------------------+----------------------------------------+--------------------------------------------------+---------+ .. rubric:: Output Parameters +----------------------------+----------------------------------------------------+------------+-------------------------------------------------------------------------------------------+---------+ | Parameter | Type | Constraint | Description | Remarks | +============================+====================================================+============+===========================================================================================+=========+ | :math:`\hat{Y}` | :math:`\hat{Y} \in \mathbb R^N` | | Values in the :math:`Y` list which are outside the region of interest are marked | | +----------------------------+----------------------------------------------------+------------+-------------------------------------------------------------------------------------------+---------+ .. rubric:: Tool Support * :doc:`/Tools/MatlabTool/index` For details refer to the online documentation of the function `'boxplot' `__. .. rubric:: Single Steps using the Algorithm * :doc:`/DataPreprocessing/DataCleaning/OutlierDetection/OutlierDetectionWithBoxPlot/index` .. rubric:: References - R.\ McGill, J.W. Tukey, and W.A. Larsen, Variations of Boxplots, The American Statistician., vol. 32(1), pp. 12-16, 1978.