categorical data


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Related to categorical data: Numerical data

categorical data

[‚kad·ə¦gör·i·kəl ′dad·ə]
(statistics)
Data separable into categories that are mutually exclusive, for example, age groups.
References in periodicals archive ?
The estimation method with establishment of a model that correctly describes the nature of categorical data is an important factor to obtain genetic parameters [1].
Groups were compared using chi-square test for categorical data and student t-test was used for numerical data.
In the following two sections, we illustrate how such a phenomenon can occur in categorical data and time-to-event data.
age, duration of wound preparation before NPWT, duration of NPWT dressing post-operatively and length of stay) and medians and ranges were calculated whereas categorical data such as patient gender, type of comorbidities, amount of exudate in the wound beds, cost of VAC, graft uptake, presence of post-operative infection and requirement of re-grafting were calculated in count and percentages using SPSS version 20.
The demographic and obstetric characteristics of the successful and failed TOLAC groups were compared using Student's t-test for quantitative data as well as chi-square and relative risks with 95% confident interval for categorical data. Additionally, logistic regression analysis was performed to identify independent factors of successful TOLAC.
(i) We propose a novel clustering method called CD-Clustering for categorical data using community detection techniques.
Frequency distributions summarized categorical data as well as the individual Holmes and Rehe stressor items, as well as categorical demographic variables.
Modes can be determined for both numerical data and for categorical data such as favourite movies, whereas means and medians only apply to numerical data.
The continuous data values are converted into categorical data. Median values are used in the conversion process.
Deng, "Squeezer: an efficient algorithm for clustering categorical data," Journal of Computer Science and Technology, vol.
Univariate analysis was done with Chi-square or Fisher's exact test for categorical data. Kolmogorov-Smirnov test was used for measuring normal distribution of the quantitative parameters.
Categorical data were expressed as frequencies and percentages.