Visualization Models

Visualization models are an essential component in the field of data analysis and machine learning. They help in understanding complex data by converting it into a visual format that is easier to interpret. Below are some commonly used visualization models.

Common Visualization Models

Bar Charts: Ideal for comparing different groups or categories.
Line Graphs: Excellent for showing trends over time.
Pie Charts: Useful for showing proportions within a whole.
Scatter Plots: Ideal for finding correlations between two variables.

Visualization Techniques

Heat Maps: Show relationships between two variables in a grid format.
Sankey Diagrams: Visualize the flow of energy or materials through a system.
Tree Maps: Represent hierarchical data using nested rectangles.

Learn More

For more information on visualization models and techniques, check out our Data Visualization Guide.