Creating Scatter Plots
Why Use Scatter Plots?
A scatter plot is ideal for:
-
Visualizing relationships between two numerical variables;
-
Detecting patterns, clusters, or outliers;
-
Exploring correlation (positive/negative/none).
Basic Syntax for Scatter Plots in ggplot2
ggplot(data = df, aes(x = variable_x, y = variable_y)) +
geom_point()
To add group-based color, use: aes(x, y, color = group_var)
Example: Selling Price vs Kilometers Driven
ggplot(df, aes(x = km_driven, y = selling_price)) +
geom_point() +
labs(title = "Scatter Plot of Selling Price vs. Kilometers Driven",
x = "Kilometers Driven",
y = "Selling Price")
This shows how a car’s usage relates to its price — often revealing depreciation trends.
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Why Use Scatter Plots?
A scatter plot is ideal for:
-
Visualizing relationships between two numerical variables;
-
Detecting patterns, clusters, or outliers;
-
Exploring correlation (positive/negative/none).
Basic Syntax for Scatter Plots in ggplot2
ggplot(data = df, aes(x = variable_x, y = variable_y)) +
geom_point()
To add group-based color, use: aes(x, y, color = group_var)
Example: Selling Price vs Kilometers Driven
ggplot(df, aes(x = km_driven, y = selling_price)) +
geom_point() +
labs(title = "Scatter Plot of Selling Price vs. Kilometers Driven",
x = "Kilometers Driven",
y = "Selling Price")
This shows how a car’s usage relates to its price — often revealing depreciation trends.
Tack för dina kommentarer!
