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How to Use Chaid Useful for Data Science Developers

Chaid is one of mostly asked skills for Data Science engineers.The CHAID Analysis (Chi Square Automatic Interaction Detection) is a form of analysis that determines how variables best combine to explain the outcome in a given dependent variable.  The model can be used in cases of market penetration, predicting and interpreting responses or a multitude of other research problems. CHAID analysis is especially useful for data expressing categorized values instead of continuous values. For this kind of data some common statistical tools such as regression are not applicable and CHAID analysis is a perfect tool to discover the relationship between variables. One of the outstanding advantages of CHAID analysis is that it can visualize the relationship between the target (dependent) variable and the related factors with a tree image. Different Scenarios where CHAID analysis can be used: CHAID Analysis for Surveys -Most survey answers have categorized values instead of continuous value