Fork of D3 Scatter Plot

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 APIs including `csv` for data loading, `scaleLinear` for scaling, and `axisLeft` and `axisBottom` for axes. The SVG circles are rendered via `selectAll` and `join`, with a fixed radius. The plot fills the browser window, using `window.innerWidth` and `window.innerHeight` to size the chart, and includes tick labels with 24px font styling.

JJordi

96% match

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles with SVG. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, with margins adjusting the plot area to fill the viewport.

Wwilliam3333

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.

Fork of D3 scatterplot

This example shows a scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The code loads the data via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` to map the data ranges to the full browser window. Each data point is rendered as an SVG circle, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization uses `d3.v7` and a minimal, full-screen SVG layout with fixed margins.