Fork of Fork of Fork of Scatter Plot with Menus

Fork of Scatterplot with menus

This interactive scatterplot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying relationships between car attributes like horsepower and weight. Users select different columns for both the x and y axes from dropdown menus, triggering animated transitions where circles move to new positions. The visualization uses d3.csv for data loading, d3.scaleLinear for scaling, d3.axisBottom and d3.axisLeft for axes, and d3.transition with delays to animate the scatterplot points rendered as SVG circles.

SSwapna1915

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying car attributes such as horsepower, weight, and acceleration. Users select which columns to map to the X and Y axes via dropdown menus built with the custom `dropdownMenu` function. The visualization uses d3.v5 with `scaleLinear`, `axisBottom`, and `axisLeft`, rendering SVG circles with animated transitions (`transition().duration(2000)`) that move points to their new positions when axes change.

HHaochen-Luo

Fork of Scatter Plot with Menus

This scatter plot visualizes car data from the UCI Machine Learning Repository's Auto MPG data set, displaying relationships between attributes such as horsepower, weight, and acceleration. Users select which columns map to the X and Y axes via dropdown menus, triggering a re-render of the visualization. The plot uses d3's `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` module with animated transitions via `transition().duration(2000)`. SVG circles represent individual cars, with axes and labels rendered using d3's `axisBottom` and `axisLeft` APIs.

EEthan-Wu-juniper

Fork of Scatter Plot with Menus

This interactive scatter plot displays automotive data from the UCI Machine Learning Repository’s Auto MPG dataset, letting users choose which columns to map to the X and Y axes via dropdown menus. Built with D3 v5, the visualization uses `scaleLinear` for axes and animates circles with a 2-second transition when selections change. The chart includes axis labels and grid lines, rendered as SVG with opacity-styled red circles. Updates trigger a re-render that re-binds data and transitions circle positions, demonstrating dynamic visualization of multivariate car attributes like horsepower, weight, and acceleration.

Kkzaiets

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which data columns map to the X and Y axes via dropdown menus built with a reusable D3 module. The visualization uses d3.scaleLinear for axes, d3.axisLeft and d3.axisBottom for ticks, and animates circle transitions over two seconds. Data is loaded as CSV and parsed into numeric values.

Mmark.horne99@gmail.com

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, letting viewers explore relationships between numerical attributes. Users select which columns map to the X and Y axes from dropdown menus. The visualization is built with D3 v5, using `scaleLinear`, `axisLeft`, `axisBottom`, and `transition().duration()` to animate circles to their new positions when axes change. Data is loaded via `csv`, and the implementation uses an SVG rendering approach with reusable menu and scatter plot components.

Jjt23346059@gmail.com

Fork of Scatter Plot with Menus

This interactive scatter plot explores the relationship between different attributes of cars from the UCI Auto MPG dataset. Using dropdown menus, the user can select any two data columns to map to the X and Y axes, with the visualization updating through animated transitions. The code utilizes d3.csv for data loading, d3.scaleLinear for scaling, d3.axisBottom and d3.axisLeft for axes, and a custom dropdownMenu module. Each data point is rendered as a semi-transparent red circle using SVG, with axis labels and gridlines visible.

IIsigned

Fork of Scatter Plot with Menus

This scatter plot displays automobile data from the UCI Machine Learning Repository's Auto MPG dataset, with dropdown menus above the chart allowing the user to select which columns map to the X and Y axes. The visualization uses D3 v5's `d3.select`, `d3.csv`, `d3.scaleLinear`, and `d3.extent` to load the data and compute scales. SVG circles are animated with a staggered transition, moving from the chart's center to their positions over two seconds as the axes and labels update accordingly.

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