Vega-Lite API Template II

Vega-Lite API Template III

This example visualizes the relationship between Mitoses and Bland_Chromatin measurements from the UCI Auto MPG dataset, with points colored by Class and tooltips revealing the class label. Built using the Vega-Lite API with D3.js for data loading, it renders an interactive scatter plot as SVG. The visualization uses `vl.markCircle`, `vl.x().fieldO()`, `vl.y().fieldO()`, and `vl.tooltip()` to encode the data, with a custom config adjusting axis and label styles for readability.

94% match

Vega-Lite API Template 5

This example presents two scatter plots of the Auto MPG dataset, visualizing relationships between different cellular attributes. The main chart maps Mitosis against Bland Chromatin, while a smaller navigation chart shows Bare Nuclei versus Uniformity of Cell Shape, both colored by class. The visualization uses the vega-lite-api to construct the plots, d3 to load the CSV data, and vega-tooltip for interactive tooltips. The plots are rendered using Vega's SVG renderer with a custom configuration for improved readability.

93% match

Vega-Lite API Template II

This example displays a scatter plot of the auto-mpg dataset, mapping engine displacement on the x-axis and horsepower on the y-axis, with vehicle names shown via tooltips. The visualization is built entirely through the Vega-Lite API in JavaScript, using `vl.markPoint` with opacity to show data density. It loads CSV data via D3’s `csv` function, configures axis and label styling in a separate `config.js`, and renders with Vega 5 and Vega-Lite 4. The chart auto-sizes to the window and uses the Vega Tooltip handler for interactive hover details.

NNelson M

Vega-Lite API Template 8

This visualization displays two scatter plots of Auto MPG data from the UCI Machine Learning Repository. The main chart plots two quantitative fields against each other, colored by vehicle class, while a smaller repeater panel shows multiple combinations of the same fields. Built with the Vega-Lite API, it uses `vl.markCircle`, `vl.x().fieldQ()`, and `vl.y().fieldQ()` to encode variables, with D3’s `csv` loader for data parsing. The code configures custom axes, tooltips via vega-tooltip, and responsive sizing that adapts to the window dimensions.

Vega-Lite API Template

This example uses the Vega-Lite API to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. It maps miles per gallon on the x-axis, horsepower on the y-axis, vehicle origin to color, and weight to point size, with tooltips showing car names. The visualization is built programmatically via `vl.markCircle` and `vl.encode` methods, then rendered as SVG using the Vega and Vega-Lite libraries with a custom config for larger fonts and a dark color scheme. Data is loaded asynchronously using `d3.csv` from a remote gist.

Hhuashe418

Vega-Lite API Template 10

This visualization uses the Vega-Lite API with D3 to display a scatter plot of Auto MPG data from the UCI Machine Learning Repository, encoding horsepower and acceleration on the axes while coloring points by vehicle class. A second miniature chart, generated with repeated row and column facets, serves as a navigation overview. The code customizes axes and label styling through separate config objects and fetches data via D3’s CSV loader. Both charts are rendered as SVG using Vega-Lite’s API.

Vega-Lite API Template 7

This example visualizes automobile data from the UCI Auto MPG dataset, plotting two numeric attributes as a scatter plot with points colored by vehicle class. The main chart fills the viewport, while a smaller overview version in the corner provides navigation context. Built with the Vega-Lite API, it uses `vl.markCircle`, `vl.x().fieldQ()`, and `vl.y().fieldQ()` to encode fields, with `vl.color().fieldN()` for categorical coloring. Data loads via D3’s `csv` function, and the configuration customizes axis styling and label appearance.