ICE6 - Avinash Chinta

ICE 7

This visualization displays a scatter plot of automobile data from the UCI Auto MPG dataset, mapping miles per gallon against horsepower. Points are colored by origin, with point size encoding vehicle weight, and hovering reveals the car name via tooltip. Built with the vega-lite-api and D3’s csv loader, it renders using vega-lite’s markCircle, with axes customized to remove domain lines and configure tick and label styling.

MMalempatiSaranya

88% match

Fork of ICE7-1-VarshaG

This visualization explores the relationship between fuel efficiency, horsepower, weight, and origin in the Auto MPG dataset from the UCI Machine Learning Repository. A scatter plot positions each car by miles per gallon and horsepower, with color encoding the region of origin, while the size of each circle encodes vehicle weight. Tooltips reveal the car name on hover. The chart is built with the vega-lite-api, which registers Vega and Vega-Lite, and loads the CSV data using d3.csv. Custom configuration adjusts axis labels, tick colors, and font sizes for improved readability.

88% match

ICE7-1-VarshaG

This interactive scatter plot explores the relationship between fuel efficiency (mpg) and horsepower across vehicles, with color mapped to origin and point size to weight. It renders the 398 cars from the UCI Auto MPG dataset using the vega-lite-api library, building a single circle mark with tooltips for names. The visualization adapts to the full viewport, and the accompanying vega-tooltip handler displays each vehicle's details on hover.

87% match

VarshaICE7

This visualization uses a scatter plot to explore the relationship between fuel efficiency (mpg) and horsepower across vehicles, with color indicating origin and point size encoding weight. Built with the vega-lite-api library and rendered using vega-lite and vega, the plot loads data from the UCI Auto MPG dataset via d3.csv. A tooltip from vega-tooltip displays each car’s name on hover. The visualization fits the entire browser window, and axis labels are styled with a custom configuration for improved readability.

Fork of VarshaICE7

This visualization displays automobile data from the UCI Machine Learning Repository’s Auto MPG dataset as a scatter plot, mapping fuel efficiency (mpg) against horsepower, with point size encoding vehicle weight and color marking the country of origin. The chart is built using the vega-lite-api library, which wraps Vega-Lite and Vega, and renders interactively with tooltips showing car names. Data is loaded asynchronously via d3.csv from a remote Gist, while the visualization is configured with custom fonts and axes for improved readability. The layout fits the browser window, adjusting dynamically to viewport dimensions.

ICE7-1-VarshaG

This scatter plot visualizes automobile data, mapping engine displacement and horsepower to the x and y axes while encoding weight through circle size and origin through color. The visualization is built using Vega-Lite’s declarative grammar via the `vega-lite-api` wrapper, with `markCircle` and encodings for quantitative and nominal fields. Data is loaded from a CSV file using d3’s `csv` method, and the chart is rendered as an interactive SVG with tooltips provided by `vega-tooltip`.

Fork of Vega-Lite API Template

This interactive scatter plot visualizes the relationship between horsepower, miles per gallon, weight, and origin for cars from the UCI Auto MPG dataset. Built with the Vega-Lite API and rendered via Vega, it encodes each car as a circle positioned by acceleration and engine displacement, with color indicating country of origin and size reflecting vehicle weight. Tooltips display car model names. The visualization uses D3's csv loader to fetch data from a Gist URL, and the chart resizes to fit the browser window.

NNaimisha-M