Icon

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

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Alfredo
Created at: 2022-05-19
On NodePit since: 2022-10-08
Last update: 2024-11-18
Created with KNIME version: v4.6.3
Tags: CAcorrespondence analysissurveydimensionality reductioncontingency table

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!