A scatter chart is a powerful visualization tool used to study the relationship between two numeric variables by plotting data as individual points on a two-dimensional axis. Each dot on the graph represents a paired value, one positioned along the X-axis and the other along the Y-axis, making it easy to observe how the two values interact with each other. Unlike line charts that connect data, scatter plots focus purely on the spread and positioning of points, helping users identify patterns, clusters, correlations, and outliers in a dataset. If the points trend upward from the lower left to the upper right, it suggests a positive correlation, while a downward distribution from the upper left to the lower right indicates a negative correlation. When points are scattered randomly, there may be little to no relationship between the variables. Commonly used in analytics and research across platforms like Highcharts and Excel, scatter charts are highly effective for detecting data density, unusual deviations, and meaningful value trends, which makes them essential for decision-making, machine learning insight, and anomaly detection in many real-world applications.