What is a scatter plot?

A scatter plot is a type of data visualization that displays values for typically two variables for a set of data. Each point on the scatter plot represents an observation in the dataset, with the position of the point determined by the values of the two variables being compared. ### Key Features of a Scatter Plot: 1. **Axes**: - The horizontal axis (x-axis) represents one variable. - The vertical axis (y-axis) represents the other variable. 2. **Data Points**: - Each point on the plot corresponds to a pair of values (x, y) from the dataset. - The distribution of points can reveal patterns, trends, or correlations between the two variables. 3. **Trends**: - By observing the arrangement of points, one can identify relationships such as positive correlation, negative correlation, or no correlation. - A line of best fit can sometimes be added to summarize the trend. 4. **Outliers**: - Scatter plots can also help identify outliers, which are points that fall far away from the general pattern of the data. ### Uses of Scatter Plots: - To visualize the relationship between two quantitative variables. - To identify correlations and trends in data. - To detect outliers or anomalies in the dataset. Overall, scatter plots are a powerful tool for exploratory data analysis and can provide insights into the relationships between variables.