Alt Eye Color

Cars Scatter Plot

This scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, displaying relationships between vehicle attributes. Red, semi-transparent circles represent individual cars, with overlapping points revealing density patterns. The visualization uses D3 v5’s `csv` loader, `scaleLinear`, `extent`, and axis functions (`axisLeft`, `axisBottom`) to map data values to SVG coordinates. Styled axes and labels with large, muted typography enhance readability, while the `format` utility handles numeric tick labels. The chart is rendered entirely in SVG within a fixed 960×500 viewport.

Force Layout Eye Color

This example visualizes the distribution of eye colors in a dataset, with each circle representing a category such as blue, brown, or hazel. The circles start at the center and are pushed apart by a force simulation, settling into a non-overlapping cluster. The visualization uses d3.forceSimulation with center, charge, and collide forces to position the nodes, and renders them as SVG circles with a tooltip that displays the eye color on hover. The data appears to be manually defined in the code rather than loaded from an external source.

Mmbergevoet

Cars colorlegend

This scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between car cylinders and miles per gallon, with points colored by species. The visualization uses D3 v5 to create an SVG rendering, employing `d3.scaleLinear` for both x and y axes, `d3.scaleOrdinal` with the `schemeCategory10` color palette, and `d3.legendColor` from the d3-legend library to generate a color legend. Axis labels, tick styling, and legend text are styled via external CSS for a clean, readable presentation.

NNTCHANG1289

Cars Scatter Plot

This scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying car attributes such as miles per gallon, horsepower, and weight. The graph uses red, semi-transparent circles, with a 30% opacity to reveal overlapping data points. Rendered as an SVG, the visualization employs d3's `scaleLinear`, `axisLeft`, and `axisBottom` functions to construct the coordinate system, while custom CSS styles the axis labels, tick marks, and title for enhanced readability.

RRenato Francia Castillo

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository's Auto MPG Data Set, showing the relationship between vehicle attributes. The visualization uses D3.js version 5 with an SVG rendering approach, employing `d3.scaleLinear`, `d3.scaleBand`, and `d3.scaleOrdinal` to map the data. The code reads data from a CSV file and creates grouped bar charts for each month, with colors distinguishing different telescope measurements. Axes are rendered using `axisLeft` and `axisBottom` functions, with styling applied through a linked CSS file.

75% match

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository, displaying each car as a red, semi-transparent circle. Positioned along the axes, the plot reveals the correlation between different vehicle attributes, such as horsepower and weight. The visualization is rendered using D3.js v5, leveraging the `d3.scaleBand` and `d3.scaleLinear` APIs to map data to the SVG canvas coordinates. Point interactions and the scatter plot's visual encoding are implemented through direct SVG circle elements, which are styled using the provided CSS.

75% match

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset, displayed as red semi-transparent circles on an SVG canvas. The chart maps quantitative attributes to the x- and y-axes using D3 v5’s `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` functions, with labeled tick marks and an axis label. Data is loaded via `d3.csv` and rendered with `select` and `svg` elements, styled through CSS for opacity and typography. The code sets a fixed 960×500 pixel SVG and uses only the imported D3 modules for scaling and axes.

75% match

Cars Scatter Plot

This scatter plot displays automobile data from the UCI Machine Learning Repository's Auto MPG data set. The visualization uses D3 version 5 to render SVG circles, with a red, semi-transparent fill, within a fixed 960×500 pixel canvas. The code defines linear scales for both axes, though the current implementation only maps population data from a separate CSV file, which is not the car data mentioned in the title. Axis labels and ticks are styled via CSS, and a title is included, though the visualization appears incomplete.