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Exploring Categorical Data via Correspondence Analysis

Exploring categorical data via Correspondence Analysis
Data reading Pre-processing Descriptive statistics Politics interest is assumed as the row variable; Internet, Gender, Relationship,Income, Age, Activity, Education as column variables; Country as supplementary(passive) column variable. In this example, a correspondence analysis (CA) was used on data from the European Social Survey (ESS9 - 2018).https://ess-search.nsd.no/en/study/bdc7c350-1029-4cb3-9d5e-53f668b8fa74https://www.europeansocialsurvey.org/docs/round9/survey/ESS9_appendix_a7_e03_1.pdfCA is an exploratory technique similar to PCA that finds a multidimensional representation of the association between row and columncategories of a two-way contingency table. The purpose of the analysis is to examine the associations between the categories of the items and to produce a labeled graph of thecategory points in 2 dimensions for better interpretation of their relationships. columns ofinterest onlyAgegroupAge group by Internet usageCodes to text(table lookup)Scree-plot, CA Map, Output table Column Filter Bar Chart Crosstab (local) File Reader Formats Classes Contingency Table CorrespondenceAnalyis Data reading Pre-processing Descriptive statistics Politics interest is assumed as the row variable; Internet, Gender, Relationship,Income, Age, Activity, Education as column variables; Country as supplementary(passive) column variable. In this example, a correspondence analysis (CA) was used on data from the European Social Survey (ESS9 - 2018).https://ess-search.nsd.no/en/study/bdc7c350-1029-4cb3-9d5e-53f668b8fa74https://www.europeansocialsurvey.org/docs/round9/survey/ESS9_appendix_a7_e03_1.pdfCA is an exploratory technique similar to PCA that finds a multidimensional representation of the association between row and columncategories of a two-way contingency table. The purpose of the analysis is to examine the associations between the categories of the items and to produce a labeled graph of thecategory points in 2 dimensions for better interpretation of their relationships. columns ofinterest onlyAgegroupAge group by Internet usageCodes to text(table lookup)Scree-plot, CA Map, Output table Column Filter Bar Chart Crosstab (local) File Reader Formats Classes Contingency Table CorrespondenceAnalyis

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Created by: Alfredo
Created at: 2022-05-19
On NodePit since: 2022-10-08
Last update: 2024-04-27
Created with KNIME version: v4.6.3
Tags: CAcorrespondence analysissurveydimensionality reductioncontingency table

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