Fork of D3 Scatter Plot

Fork of D3 Scatter Plot

This example renders the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6’s `csv` loader to fetch the data, `scaleLinear` with `extent` to compute scales, and `axisLeft`/`axisBottom` to draw the axes. The plot is drawn as SVG circles using `select` to append elements and a `join` operation for efficient circle creation. The visualization adapts to the full browser window, with tick labels styled at 24 pixels.

BBakunya | Kirisaki Rem

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

Fork of D3 Scatter Plot

This example presents a scatter plot of the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. The visualization uses D3 v7 to load CSV data, apply linear scales, and render circular marks within an SVG. The code imports a custom `scatterPlot` module for creating the chart, and the plot includes axes with labels. The rendering approach uses D3’s `scaleLinear`, `axisLeft`, and `axisBottom` functions to construct the graphical output.

NNjord

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 Scatter Plot

This example visualizes the Iris dataset with a D3 scatter plot using SVG circles, mapping petal length on the x-axis and sepal length on the y-axis. It loads the CSV data via `d3.csv`, parses numeric fields, and derives scales with `scaleLinear` from the data extent, positioning each point based on those scales. Axes are rendered using `axisBottom` and `axisLeft`, while the plot fills the browser window. The code leverages d3.v6 destructured functions like `select` and `csv` to fetch and draw the points.

SShan Gao

Fork of D3 Scatter Plot

This example visualizes the Iris dataset as a scatter plot, mapping petal length and sepal length onto the horizontal and vertical axes. Each flower is drawn as a circle with a fixed radius. The visualization uses the D3.js v6 API, including `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.axisLeft` and `d3.axisBottom` to render tick labels. The SVG canvas fills the browser window, with circles positioned via data-driven coordinates.

JJyothicherukuri

UUzoemeka Okechukwu Innocent

Fork of 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. Each data point is rendered as a circle on a full-screen SVG canvas using D3 v7. The code loads the CSV data from a GitHub Gist via `d3.csv`, then uses `d3.scaleLinear` with `d3.extent` to compute the scales. Axes are added with `d3.axisLeft` and `d3.axisBottom`, while the tick labels are enlarged to 24 pixels for readability.

Fork of D3 Scatter Plot

This example visualizes the Iris flower dataset as a scatter plot, mapping petal length on the x-axis against sepal length on the y-axis. Circles are rendered in SVG, with each point labeled by its exact coordinate values via a title tooltip. Built with D3 v7 and React, the visualization uses `d3.csv` to load data, `scaleLinear` for coordinate mapping, and `extent` to compute domains. Axes are generated through `axisLeft` and `axisBottom` functions, while the page adapts to the full browser viewport by using `window.innerWidth` and `window.innerHeight`.

PPeiyang Li