REASONS FOR USING FREQUENCY AND PERCENTAGE TO ANALYSE CATEGORICAL DATA

Using frequency and percentage to analyze categorical data provides a clear , simple way to count group size and show part of a whole. These metrics turn raw qualitative groups into easy-to-read numbers that highlight dominant patterns and make different groups simple to compare

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22084953
Primary Topic
Advanced Statistical Modeling Techniques
Type
article
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article

REASONS FOR USING FREQUENCY AND PERCENTAGE TO ANALYSE CATEGORICAL DATA

OGOCHUKWU LILIAN OKAFOR
Zenodo (CERN European Organization for Nuclear Research)
Advanced Statistical Modeling Techniques
article

REASONS FOR USING FREQUENCY AND PERCENTAGE TO ANALYSE CATEGORICAL DATA

OGOCHUKWU LILIAN OKAFOR
article en

Abstract

Using frequency and percentage to analyze categorical data provides a clear , simple way to count group size and show part of a whole. These metrics turn raw qualitative groups into easy-to-read numbers that highlight dominant patterns and make different groups simple to compare

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Advanced Statistical Modeling Techniques
DOIOpen Access PDFOpenAlex
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REASONS FOR USING FREQUENCY AND PERCENTAGE TO ANALYSE CATEGORICAL DATA — OGOCHUKWU LILIAN OKAFOR · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS