Q&A 23 How do you visualize distributions of numerical variables?

23.1 Explanation

Visualizing numerical data helps reveal the shape, spread, and potential outliers in your dataset.

Common plots include:

  • Histogram: Shows frequency distribution by binning values
  • Density plot: Smooth curve showing probability distribution
  • Boxplot: Summarizes median, interquartile range (IQR), and outliers

These plots are used in Exploratory Data Analysis (EDA) to:

  • Understand feature scales and spread
  • Detect skewness or multimodal patterns
  • Identify data quality issues like outliers or missing values