These data visualizations show trends, patterns, and changes throughout time. Common examples include line charts, area graphs, and timelines. They are perfect for analyzing performance, predicting outcomes, or comparing periods.

Designed to represent relationships within structured data, they display parent-child connections. Examples include tree diagrams, dendrograms, and sunburst charts. They help explore organizational hierarchies, categories, or nested datasets.

These provide a comprehensive picture of complex datasets by displaying data across multiple variables at once. Commonly used visuals include parallel coordinate plots, bubble charts, and scatter plots. They are great at identifying relationships, trends, and outliers.

These visualizations reveal geographic trends and distributions by mapping data to physical locations. Examples include heatmaps, choropleth maps, and dot distribution maps. They are frequently used for demographic research, logistics, and location-based insights.