Cars Scatter Plot with Menu

Cars Scatter Plot with Menu

This interactive scatter plot displays the relationship between horsepower and weight for cars from the UCI Machine Learning Repository's Auto MPG dataset. A dropdown menu lets users change the x-axis variable among the dataset’s columns, triggering a re-render of the SVG visualization. The implementation uses d3’s `scaleLinear`, `axisBottom`, and `axisLeft` for axes, while a custom `dropdownMenu` module handles the selection UI and callback.

97% match

Scatter with menus

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG dataset. Rendered as SVG circles, the plot uses D3 v5 scales and axes to map the data, with labels for both axes and a title. The code includes a dropdown menu for selecting options, built with a custom `dropdownMenu` function. The data is loaded via D3’s `csv` method from a remote source, and the chart updates with the selected menu values.

Cars Scatter Plot with Menu

This interactive scatter plot visualizes car characteristics from the UCI Auto MPG dataset, displaying weight on the y-axis while allowing users to select the x-axis attribute from a dropdown menu of data columns. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `axisLeft`, `axisBottom`, and circle elements to plot each car. A dropdown menu built with a reusable `dropdownMenu` function updates the x-axis scale and re-renders the scatter plot when the user changes the selected column, highlighting relationships like horsepower versus weight.

Cars Scatter Plot with Menu

This interactive scatter plot visualizes the relationship between weight and various car attributes from the UCI Auto MPG dataset. A dropdown menu allows users to select which attribute (e.g., horsepower, acceleration) appears on the x-axis, while weight remains on the y-axis. The visualization uses d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.csv to load the data. Red semi-transparent circles are rendered as SVG elements, with axis labels and a title updated dynamically.

Cars Scatter with Menu

This interactive scatterplot displays the relationship between horsepower and weight for cars in the auto-mpg dataset. Users select a category from the dropdown menu, though the code currently renders only static axes and circles. Built with D3 v5, it uses `scaleLinear`, `axisBottom`, and `axisLeft` to create grid lines, while the `dropdownMenu` module generates the select element. Data loads from a CSV via `csv()`, with SVG circles positioned by scaled values.

Mmamaycotte

Cars Scatter Plot with Menus

This interactive scatter plot displays car attributes from the UCI Machine Learning Repository’s Auto MPG dataset. Two dropdown menus let users select which numeric columns (such as horsepower, weight, or acceleration) appear on the x- and y-axes. The visualization uses d3.scaleLinear, d3.axisBottom, and d3.axisLeft to render axes, while SVG circles transition smoothly between positions when menu selections change. The code implements reusable dropdownMenu and scatterPlot modules that manage data joins and update patterns.

CChristine Lanser

94% match

Cars Scatter Plots

This interactive scatter plot visualizes the relationship between horsepower and weight for a dataset of cars from the UCI Machine Learning Repository’s Auto MPG Data Set. It uses D3.js v5 with SVG rendering, mapping each car to a semi-transparent red circle positioned via `d3.scaleLinear` and `d3.extent`. The axes are generated with `d3.axisLeft` and `d3.axisBottom`, featuring custom tick sizes and labels. Data is loaded as CSV and parsed for numeric fields before rendering.

EecoBela

93% match