Multiple Correspondence Analysis: Detailed illustration with Example in Minitab | Multivariate Tools

Solve complex data problems easily with Multivariate Analysis at: vijaysabale.co...
Hello Friends,
In this video, we are going to learn the 9th and the last tool of multivariate analysis in Minitab software i.e. "Multiple Correspondence Analysis" with the help of a practical example for easy understanding and better clarity.
Multiple Correspondence Analysis is used to explore the relationships of three or more categorical variables. Multiple correspondence analysis performs a simple correspondence analysis on a matrix of indicator variables, where each column of the matrix corresponds to a level of the categorical variable.
This video consists of the following topics:
• What is Multiple Correspondence Analysis?
• Data Considerations (Requirements) for Multiple Correspondence Analysis
• Example of Multiple Correspondence Analysis
• Detailed procedure to conduct Multiple Correspondence Analysis in Minitab
• Selection of various options while conducting Multiple Correspondence Analysis
• Detailed interpretation of results from session window including Quality Level, Mass, Correlation, Inertia, Coordinates, etc.
• Detailed interpretation of results from graph window indicating components and categories on axes.
We are committed to “Delight our customers beyond their satisfaction and change their lives in a positive way”.
As a part of it, we are providing the below services in Lean Six Sigma:
• Yellow Belt Online Training with Certification
• Green Belt Online Training with Certification
• Black Belt Online Training with Certification
• Detailed Minitab Training
• Mentoring and Coaching in Execution of Lean Six Sigma
You can access our website and can become part of this Practical Approach and the most Effective training by visiting the link-
www.learnandap...
And finally, thank you for watching…
#MultivariateAnalysis #MultipleCorrespondenceAnalysis #MultivariateTools #MultivariateToolsInMinitab #MultivariateAnalysisMinitab #MultipleCorrespondenceAnalysisMinitab #MultipleCorrespondenceAnalysis #MultipleCorrespondenceExample #MultipleCorrespondenceAnalysisProcedure #LeanSixSigma #SixSigma #SixSigmaTraining #SixSigmaCertification #SixSigmaOnline #ColumnPlot #PrincipalComponents

[@ammanaayanpeace]

Do u have any course in Business statistics

[@learnandapply]

I have multiple courses on statistics. Please check out them at successfulcareerhub.com

[@MrPramanirahul]

This isn't working. Can you please help?

[@learnandapply]

Rahul, can you please elaborate on what is not working?

[@mohammadbeikzadeh7232]

It was better to explain by more details of information!!!!!

[@learnandapply]

Thank you for your valuable comments. Can you please elaborate it more?

[@mohammadbeikzadeh7232]

@@learnandapply thanks because of your reply, I suggest to explain more about your practical example , for instance i have just seen 1,1,1.. in the column I could not understnd those numbers, it was explained but it was briefly, you know because this part is alittle more complex than other parts,
so its example need more explaination about the data of example,

[@learnandapply]

This data is with 4831 nos. of rows and consisting of 2 levels for each factor.
Like initially it is 1,1,1,1.
The 2nd combination is 1,1,1,2.
The 3rd combination is 1,1,2,2.
The 4th combination is 1,2,1,1.
The 5th combination is 1,2,1,2, etc.