When is it more appropriate to use a correlation matrix instead of a pairplot?
- When the dataset is very large
- When the dataset is very small
- When the variables are not numeric
- When there are only two variables
When dealing with a large number of variables, a correlation matrix can be a more appropriate choice than a pairplot. This is because pairplots can become too complex and unreadable when the number of variables increases.
Loading...
Related Quiz
- In a data set where values are uniformly distributed across the range, how would the mean, median and mode compare?
- What is the key characteristic of a Uniform Distribution?
- How might the transformation method for handling outliers impact the overall shape of your data distribution?
- You are given a dataset for an upcoming data analysis project. What initial EDA steps would you take before moving to model building?
- How does the Variance Inflation Factor (VIF) quantify the severity of Multicollinearity in a regression analysis?