Multi-Dimensional Health Data

Use the X and Y dropdowns to explore different dimension combinations. Try: mass vs height, age vs bmi, etc. Marginal distributions show on both axes.

Data: df1

Multiple Styling Options

Use the Color dropdown to change visual encoding. Try different combinations to highlight different aspects of the data.

Data: df2

Faceting Example - Weather Data

Use the 'Facet by' dropdown to split the data. Notice: Marginal distributions appear when no faceting is selected, but disappear when a facet is applied to save space.

Data: df3

Two-Dimensional Faceting - Student Performance

Uses Facet 1 and Facet 2 to create a grid of subplots. Default shows grade × major. Try different combinations like semester × major. Set either facet to 'None' to reduce to single facet or no faceting.

Data: df4

Complex Multi-Dimensional Exploration

Demonstrates all features together: 4 dimensions for X/Y axes, multiple color options, and faceting. Explore different combinations to find interesting patterns.

Data: df5

Time Series Scatter with Filters

Use date and quarter filters to focus on specific time periods. Points are colored by portfolio to show different investment trajectories.

Data: df6

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