Understanding dependent variable

• Explore the approximation to normality and symmetry of the distribution, which can be important for models like:
  • Linear Regression
  • General Linear Models (GLM)
  • Ridge and Lasso Regression
• Confirm if the proportion of observations in different categories is balanced or not, as most the classification methods do not work well if the categories are substantial imbalance.