Fork of Vega-Lite API Template

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon and horsepower, with additional encodings for origin (color) and weight (size). The plot uses a scatter plot with semi-transparent circles, presenting data as points with tooltips displaying car names. The visualization is built using the vega-lite-api library, which wraps Vega-Lite specifications, with the `vl.markCircle` method configuring the marks and `vl.x()`/`vl.y()` for quantitative scales. Data is loaded asynchronously via `d3.csv`, and the final render uses Vega’s SVG output with a custom tooltip handler.

SSong Tao Chen

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, and uses both color (by origin) and size (by weight) as additional dimensions. Built with the vega-lite-api library version 0.1.0, it registers Vega and Vega-Lite, and includes a tooltip handler from vega-tooltip to display car names. The code uses `vl.markCircle`, `vl.x().fieldQ('mpg')`, and `vl.y().fieldQ('horsepower')` for the encoding, with data loaded asynchronously via d3’s `csv` function.

DDor Peled

Fork of Vega-Lite API Template

This example showcases a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing miles per gallon against horsepower. Points are colored by origin and scaled by weight, with tooltips revealing car names. The visualization is built using the Vega-Lite API’s `vl.markCircle` with encoding methods like `vl.x().fieldQ()` and `vl.color().fieldN()`. It loads data via `d3.csv`, configures axis styling in `config.js`, and integrates Vega-Tooltip for interactive hover details.

IIlia Katkovnik

Fork of Vega-Lite API Template

This example presents a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon, horsepower, weight, and origin. The visualization uses the Vega-Lite API with d3.csv for data loading, and configures an SVG renderer with a custom dark theme. It encodes x, y, color, size, and tooltip channels through the vl.markCircle and vl.encode methods, with vega-tooltip handling interactive hover details. The chart automatically resizes to fill the viewport.

Vvarmps

Fork of Vega-Lite API Template

This visualization presents a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon and horsepower for various car models. Each point’s size encodes vehicle weight, color indicates the country of origin, and hovering reveals the car name. Built with the Vega-Lite API, it registers Vega, Vega-Lite, and d3, using `vl.markCircle` for encoding and `d3.csv` for loading data. The plot spans the full browser window with a custom dark color config for axis labels and titles.

NNana Kwame

Fork of Vega-Lite API Template

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, mapping miles per gallon against horsepower for individual car models. Each point is colored by origin and sized by vehicle weight, with hover tooltips revealing the car name. Built with Vega-Lite API, the visualization leverages `vl.markCircle`, positional encodings via `vl.x()` and `vl.y()`, and tooltips through `vl.tooltip()`. D3’s `csv` loader fetches the data, while Vega tooltip enhances interactivity, all running within a responsive, full-window layout.

JJoshua Holloway

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting vehicle weight against horsepower with points colored by origin and sized by miles per gallon. Built with the Vega-Lite API, it renders an interactive scatter plot using d3.csv for data loading and Vega-Lite’s markCircle encoding for graphical marks. The visualization uses a custom configuration to adjust axis styling, font sizes, and tooltip appearance, all rendered as SVG with dynamic width and height based on the viewport.

AAlex Gomes

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of the Auto MPG dataset, showing the relationship between miles per gallon and horsepower for various car models. Points are colored by origin and sized by weight, with tooltips revealing the car name. The visualization is created programmatically using `vl.markCircle` and `vl.encode`, with data loaded via D3’s `csv` function. The view is fitted to the window size and styled using custom Vega-Lite configuration, relying on the Vega, Vega-Lite, and Vega-Tooltip libraries.

MMohammad jahangir alam