| Autor: |
Aminu Tukur Mohammad, Babangida Ibrahim Babura, Mohd Bakri Adam, Anwar Fitrianto |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation. |
| ISSN: |
0094-243X |
| DOI: |
10.1063/1.5136429 |
| Popis: |
The classical boxplot methods requires three robust quartile estimates of a univariate dataset to facilitate visual identification of location, spread and outlying observations. Among the most popular functionality of a boxplot is batch comparison of datasets. Visualization of batches of datasets with boxplot has limited capacity to display useful distributional information mostly required by data analyst. Stairboxplot is a proposed boxplot enhancement that account for display of individual data points according to measure of outlyingness and display of distributional shape using range levels. We illustrate the advantages of the stairboxplot using data from some special distributions of interest. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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