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 plot represents an observation in the dataset, with the position along the x-axis indicating one variable and the position along the y-axis indicating another. Scatter plots are particularly useful for identifying relationships, trends, or correlations between the two variables. Common use cases include analyzing the relationship between height and weight, sales and advertising spend, or any two quantitative variables. They can also highlight outliers and clusters in the data, providing insights into the structure and distribution of the dataset.
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AI Fundamentals