Creating Density Plots
Why Use Density Plots?
A density plot is a smoothed version of a histogram. It is useful to:
-
Understand the distribution of a numeric variable;
-
Compare distributions across groups (like fuel types);
-
Spot peaks, skewness, and spread.
Unlike histograms, density plots estimate the probability of a value occurring within a range.
Basic Syntax for Density Plots in ggplot2
ggplot(data = df, aes(x = variable)) +
geom_density()
For group comparisons, use fill = group_variable and adjust transparency using alpha.
Example: Selling Price Distribution
ggplot(df, aes(x = selling_price)) +
geom_density(fill = "blue") +
labs(title = "Density Plot of Selling Prices",
x = "Selling Price",
y = "Density")
This plot shows how car prices are distributed, revealing where most prices cluster and how prices are spread.
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Can you explain the difference between a density plot and a histogram in more detail?
How do I interpret overlapping density curves when comparing groups?
Can you show how to adjust the transparency (alpha) in a density plot?
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Why Use Density Plots?
A density plot is a smoothed version of a histogram. It is useful to:
-
Understand the distribution of a numeric variable;
-
Compare distributions across groups (like fuel types);
-
Spot peaks, skewness, and spread.
Unlike histograms, density plots estimate the probability of a value occurring within a range.
Basic Syntax for Density Plots in ggplot2
ggplot(data = df, aes(x = variable)) +
geom_density()
For group comparisons, use fill = group_variable and adjust transparency using alpha.
Example: Selling Price Distribution
ggplot(df, aes(x = selling_price)) +
geom_density(fill = "blue") +
labs(title = "Density Plot of Selling Prices",
x = "Selling Price",
y = "Density")
This plot shows how car prices are distributed, revealing where most prices cluster and how prices are spread.
Tack för dina kommentarer!
