Learn how to create and interpret scatterplots to show relationships between pairs of continuous variables. See examples of positive and negative correlations, linear and curved relationships, outliers, and fitted lines. A scatter plot is a diagram that shows the relationship between two variables using dots. Learn about the history, types, and applications of scatter plots, and how to create them with examples and equations. Scatter plots are one of the most fundamental tools for visualizing relationships between two numerical variables. matplotlib.pyplot. scatter () plots points on a Cartesian plane defined by X and Y coordinates. Each point represents a data observation, allowing us to visually analyze how two variables correlate, cluster or distribute. For example: Learn how to create scatter plot in various programming languages such as Python and R, as well as in Excel. Understand key features, applications across different fields, and best practices for effectively conveying data insights. This comprehensive guide provides examples, coding techniques, and downloadable templates to enhance your data analysis capabilities and visualize critical patterns, correlations, and trends.
