Cars Scatterplot

Cars Scatterplot

This scatterplot displays the relationship between horsepower and weight for a dataset of cars, with each point representing a single vehicle. The visualization uses D3 v5 to load CSV data, create linear scales with `d3.scaleLinear`, and render SVG circles with opacity. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, complete with tick marks and custom axis labels, while a title appears at the top. The chart’s dimensions are set via SVG attributes, and the data is sourced from an external CSV file.

JJohn Hamilton Bradford

Cars Scatter Plot

This scatter plot displays the relationship between horsepower and weight for a dataset of cars, with each circle representing a vehicle. The visualization uses D3 v6's `scaleLinear` for both axes, `axisBottom` and `axisLeft` for ticks, and SVG circles with a fixed radius. Data is loaded from a CSV file via `csv()` and parsed into numeric values. Axes include grid lines and rotated labels, while the title and axis labels are styled using custom CSS classes.

Iihatelearning

Cars Scatter Plot

This scatter plot displays the relationship between horsepower and weight for a dataset of cars, with each point representing an individual vehicle. The visualization uses D3 v5 to load CSV data and render an SVG with linear scales, axes, and semi-transparent red circles. It applies `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.extent` to map values, while axis labels and a title are added via SVG text elements. The chart employs a clean grid layout with margins and tick styling from the accompanying stylesheet.

MMichał Szumnarski

Cars Scatter Plot

This scatter plot shows the relationship between vehicle weight and horsepower for a dataset of cars, with each point representing an individual car model. The visualization uses D3 v5’s `csv` loader to fetch data from an external URL, then applies `scaleLinear` and `extent` to map the variables to SVG coordinates. Axes are rendered using `axisBottom` and `axisLeft`, with tick marks extending across the plot area. The SVG circles are styled with red fill and opacity, and axis labels and a title are added via SVG text elements.

NNkwachi Abel

Cars Scatter Plot

This scatter plot displays the relationship between horsepower and weight for various car models, with each car represented by a semi-transparent blue circle. The visualization uses D3 v6 to load CSV data from an external URL and render the plot as SVG. It employs `scaleLinear` for both axes, `axisBottom` and `axisLeft` for grid lines and tick labels, and `extent` to compute the data domains. The chart includes labeled axes, a title, and styled grid lines, with all text elements using custom CSS classes for font sizing and coloring.

SSergio Eijben

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for a dataset of cars, with each point representing an individual vehicle. The visualization uses D3.js v6 to load CSV data and render the chart as SVG. D3 scales, axes, and margin conventions position the circles, while axis labels and a title provide context. The code uses `d3.csv` for data loading, `scaleLinear` for scaling, and `axisBottom` and `axisLeft` for the axes.

KKevinTung

Cars Scatter Plot

This scatter plot displays the relationship between horsepower and weight for a dataset of cars, with each circle representing a vehicle. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` APIs to construct axes with gridlines, while SVG circles are positioned using the scaled x and y values. Data is loaded asynchronously from a CSV file via `d3.csv`, and styling is applied through external CSS for tick text, axis labels, and the semi-transparent red circles.

Nntds12

Cars Scatter Plot

This scatter plot displays the relationship between horsepower and weight for a set of cars, with each circle representing a vehicle. The visualization uses D3.js v5’s `scaleLinear`, `axisLeft`, and `axisBottom` to map data values to pixel coordinates and render SVG axes with gridlines. Data is loaded from a CSV file via the `csv` function, parsed into numeric fields, and drawn as semi-transparent purple circles. The chart includes axis labels and a title, with margins calculated from the SVG’s dimensions.

WWhitney Hung