Summary  
This chapter explains how to create scatter plots using ggplot2’s geom_point to visualize relationships and detect outliers between two numerical variables, and how to map a third variable to color for group-based comparison.  

General domain of usage  
Used car pricing and mileage analysis

### 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.

Which `ggplot2` function creates a scatter plot?


Gain practical experience in data analysis with R by learning how to clean, transform, and visualize datasets. Explore essential workflows such as selecting and filtering data, handling missing values, and summarizing results. Build confidence in preparing data for insights, reporting, and deeper statistical exploration.

Explore the foundations of data analysis with R. Learn how to install the tools, load and inspect datasets, select and filter information, sort and transform data, handle missing values, and summarize results for deeper insights.

Learn to create compelling visualizations with ggplot2. Build bar charts, histograms, density plots, and scatter plots, then customize and refine them with styling options and faceting to reveal deeper insights in your data.

Strengthen your understanding of statistics for data analysis. Apply descriptive measures, identify and treat outliers, and use correlation techniques with visual tools like heatmaps and scatter plots to uncover meaningful relationships.

Creating Scatter Plots

Why Use Scatter Plots?

Basic Syntax for Scatter Plots in ggplot2

Example: Selling Price vs Kilometers Driven

Awesome!

Creating Scatter Plots

Why Use Scatter Plots?

Basic Syntax for Scatter Plots in ggplot2

Example: Selling Price vs Kilometers Driven