Analyzing Data for a College Physical Training Center to Future Data Analysis by Exploratory Data Analysis (Era) |
Author(s): |
| S Reddy Jaipal , KMM institute of PG studies ; S Muni Kumar, KMM institute of PG studies |
Keywords: |
| College physical, feature data, exploratory data analysis (EDA) |
Abstract |
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Exploratory data analysis (EDA) is a well-established statistical tradition that provides conceptual and computational tools for discovering patterns to foster hypothesis development and refinement. These tools and attitudes complement the use of significance and hypothesis tests used in confirmatory data analysis. Although EDA complements rather than replaces, use of without EDA is seldom warranted. Even when well-specified theories are held, EDA helps one interpret the results of and may reveal unexpected or misleading patterns in the data. This article introduces the central heuristics and computational tools of EDA and contrasts it with CDA and exploratory statistics in general. EDA techniques are illustrated using previously published psychological data. Changes in statistical training and practice are recommended to incorporate the tools. |
Other Details |
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Paper ID: IJSRDV7I10841 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1185-1190 |
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