Scatter Plot

Scatter Plot

This scatter plot visualizes the relationship between vehicle horsepower and weight, with each circle representing a data point from the auto-mpg dataset. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, `axisLeft`, and `extent` APIs to map the data to SVG coordinates within a 960×500 canvas. Data is loaded asynchronously via `csv()` from a remote source, with numeric fields parsed before rendering. The plot includes labeled axes with tick marks spanning the full plot height and width, though the axis labels and titles are incomplete in the code.

96% match

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the auto-mpg dataset, with each circle representing a vehicle. The chart uses red, semi-transparent circles to show data density, and includes labeled axes and a title. Built with D3 v5, the code loads CSV data, applies linear scales via `scaleLinear`, and renders axes using `axisBottom` and `axisLeft`. The SVG output includes grid lines and custom styling from the accompanying stylesheet.

Kkshethia12

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for various car models, with each circle representing a data point. The plot uses D3.js v5, employing scaleLinear for axes, axisBottom and axisLeft for tick marks, and data from the auto-mpg.csv file. The SVG rendering displays circles positioned via xScale and yScale mappings, with a labeled x-axis denoting the title "Scatter Plot" and tick lines extending across the chart.

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for various car models, with each point representing a vehicle. The chart uses a red, semi-transparent circle for each data point, and includes labeled axes for horsepower and weight. Built with D3 v5, the code loads the auto-mpg dataset from a CSV file, scales the data using `scaleLinear`, and renders the visualization as an SVG. The axes are configured with `axisBottom` and `axisLeft`, and the plot is styled with custom CSS for tick marks, labels, and the title.

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for various car models from the auto-mpg dataset. The D3.js code uses `scaleLinear` for both axes, with `axisBottom` and `axisLeft` for tick marks and gridlines. Data is loaded via `csv()` from a remote URL, and each vehicle is rendered as a circle with a fixed radius. Axis labels and a title are added as SVG text elements, with styling defined in CSS for the tick marks and label fonts.

CChip

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the auto-mpg dataset. Red, semi-transparent circles represent each car, with positioning determined by the d3.scaleLinear scales for both axes, while axis labels and tick marks are generated using d3.axisBottom and d3.axisLeft. The SVG rendering approach is used, with margins and inner dimensions calculated from the viewport, and the chart includes a title and rotated y-axis label. Data is loaded via d3.csv and parsed into numeric values before rendering.

WWayne716

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for automobiles from the auto-mpg dataset, with each point representing a vehicle. The code uses d3.csv to load the data and d3.scaleLinear to map the values to SVG coordinates, while d3.axisBottom and d3.axisLeft generate the axes with formatted ticks. Circles are appended to the SVG container with a steelblue fill and 0.5 opacity. The chart includes a title and axis labels, with margins set around the plotting area to accommodate the axes.

Aalisha-zemoso

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for various car models, sourced from the auto-mpg dataset. Each red semi-transparent circle represents a car, positioned by its horsepower on the x-axis and weight on the y-axis. The D3 v5 code uses `scaleLinear` for both axes, `axisBottom` and `axisLeft` for labeled grid lines, and appends circles via `selectAll('circle').data().enter()`. The SVG output includes axis labels and a title, with styling controlled by external CSS.