CORRESPONDENCE ANALYSIS IN TABLEAU WITH R – Bora Beran

Correspondence Analysis in Tableau with R

Correspondence analysis is an exploratory data analysis method for discovering relationships between two or more categorical variables. It is very often used for visualizing survey data since if the matrix is large enough (which could be due to large number of variables but also possible with small number of variables with high cardinality) visual inspection of tabulated data or simple statistical analysis cannot sufficiently explain its structure. Correspondence analysis can remarkably simplify representation of such data by projecting both row and column variables into lower dimensional space that can often be visualized as a scatter plot at a small loss of fidelity.

 

Correspondence Analysis in Tableau with R

Correspondence analysis is an exploratory data analysis method for discovering relationships between two or more categorical variables. It is very often used for visualizing survey data since if the matrix is large enough (which could be due to large number of variables but also possible with small number of variables with high cardinality) visual inspection…

 

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Eric Axelrod

President & Chief Architect at DIGR
I have helped companies bring new data driven products to market, drive efficiency out of their supply chain, execute strategic plans, and drive top line and bottom line growth by enabling every business function with actionable analytics. I can transform a business which is lacking critical insight into an agile, strategic, data driven organization.

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