D-DS-FN-23 Exam Dumps : Dell Data Science Foundations

When building a K-means clustering model, it's important to ensure that the data is properly scaled, as K-means is sensitive to the scale of the variables. If the variables have different scales, the clustering may not segment as expected. Standardizing or normalizing the data can often improve the results.

The dependent variable in logistic regression is categorical, typically binary (e.g., success/failure, yes/no), since the goal is to model the probability of an event occurring.

Analysts value clarity and interpretability in data presentations. Clean, simple-to-understand visuals help them accurately assess the data, model outputs, and insights without unnecessary complexity.