Visualizing continuous variables helps in understanding the data distribution and identifying patterns. Common visualization techniques include:
Histograms: Display the frequency distribution of continuous data. Box plots: Show the median, quartiles, and potential outliers in the data. Scatter plots: Illustrate the relationship between two continuous variables. Line graphs: Useful for showing trends over time, such as changes in disease incidence rates.
