Construction and Applications of Stairboxplot for Exploratory Data Analysis

Autor:	Mohd Bakri Adam, Usman Waziri, Muhammad Sani, Felix Yakubu Eguda, Babangida Ibrahim Babura
Rok vydání:	2021
Předmět:	Fence (finance) History Box plot Computer science Univariate Robust statistics computer.software_genre Computer Science Applications Education Exploratory data analysis Quartile Outlier Data mining Scale (map) computer
Zdroj:	Journal of Physics: Conference Series. 1863:012008
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1863/1/012008
Popis:	The classical construction of boxplot requires estimates of five robust statistics of interest namely, the first quartile, the median, the third quartile, the lower fence and the upper fence. The fence estimate is usually dependent on the three quartiles and is utilized to visually identify outliers in a batch of univariate dataset. Some scholars are critical of the limitation of boxplox to display individual data points, density of observations and distributional shape in multiple batch comparison among to mention. In this paper display enhancement to address the limitations of classical boxplot is proposed according to a new construction method called stairboxplot. The construction begins with display of four stairs of consecutive boxes according to quadbins to replace box and whiskers in the classical boxplot construction and an inscription of individual observations using scale adjusted outlyingness estimate of each data point. The advantage of stairboxplot as a data display toolkit was explored using simulation and real life dataset.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3ff34d13be8f04fe7a6dd1db6dc2df19 https://doi.org/10.1088/1742-6596/1863/1/012008 Zobrazit plný text záznamu