Why Use Histograms?

Histograms are used to visualize the distribution of continuous (numerical) data. They show how data is spread across ranges (bins) and help us:

• Detect skewness, outliers, or gaps;

• Understand frequency distribution;

• Quickly assess if the data is normally distributed or not.

They are best used for variables like price, mileage, or age.

Basic Histogram Syntax in ggplot2

ggplot(data = df, aes(x = variable)) +
  geom_histogram()

The x variable must be numeric.

Customize using bins, fill, color, theme, etc.

Example: Distribution of Selling Prices

ggplot(data = df, aes(x = selling_price)) +  
  geom_histogram(fill = "steelblue", color = "black") +  
  labs(title = "Distribution of Selling Prices", 
       x = "Selling Price (in PKR)", 
       y = "Count") +
  theme_minimal()

This plot shows how car prices are distributed. It can highlight if most cars fall in a certain price range.