Fork of d3 and scatterplot seperated and exported

Fork of D3 Scatter Plot

This example shows a scatter plot of the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v7’s `csv` loader and `scaleLinear` for both axes, with `axisLeft` and `axisBottom` to render tick marks. The SVG circles are bound to data via `selectAll('circle').data().join('circle')`. The code loads data from a GitHub gist and sizes the chart to the full window, with margins and a fixed point radius of 5 pixels.

SSubhendu Karmakar

Fork of reusable D3 scatterplot

This fork of a reusable D3 scatterplot visualizes the Iris dataset, encoding sepal length and petal width with positions onto an SVG canvas while symbol shapes and colors both map to the species category. The code builds custom plot margins and axes using `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom`. It demonstrates a reusable chart pattern in React, where the scatter plot component exposes setter methods for dimensions, data accessors, and margins. Data is loaded asynchronously via `d3.csv` and parsed into numeric values before rendering.

SSamuele Greco

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 is an interactive scatter plot built with React and D3, rendering as an SVG. It visualizes the Iris dataset, plotting petal width on the x-axis against sepal length on the y-axis. The example uses D3's scaleLinear, extent, axisLeft, and axisBottom to map data points and draw the chart axes. It employs a chainable setter pattern in the scatterPlot function to configure its properties. The code also demonstrates how to load CSV data using D3’s csv function and how to dynamically size the visualization to the viewport.

Rroyable88

Reusable Fork of D3 Scatter plot

This example presents a reusable D3 scatter plot implemented as a React-friendly function module, visualizing the classic Iris dataset. It maps petal length to the x-axis and sepal length to the y-axis using `scaleLinear` scales and `extent` to set domains. The code uses `csv` to load data and `axisLeft`/`axisBottom` for axes, while SVG circles are joined with the data via `selectAll` and `join`. The chart adapts to the browser window size and exposes setter methods for width, height, margins, and radius.

GGbemiga Atolagbe

UUzoemeka Okechukwu Innocent

Fork of Reusable D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses a reusable D3 module pattern with `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG circles and axes. The code loads data via `d3.csv` from a gist, parses numeric fields, and applies a configurable margin and radius through a closure-based API. The visualization fills the browser window and uses a full-screen SVG without additional interaction.

Fork of Scatterplot with Iris Data

This example displays a scatter plot of the classic Iris dataset, mapping sepal length along the x-axis and sepal width on the y-axis. Each data point is rendered as a blue circle with a tooltip showing its x-value, using React to construct the SVG elements and D3.js's `scaleLinear` and `extent` functions to compute scales and domains. The chart includes labeled axes and tick marks, with data loaded from a remote CSV file via D3's `csv` parser.

AArefa Patwary

Fork of D3 Scatter Plot (Vanilla JS)

This example shows a scatter plot of the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis as colored circles with a fixed radius. It uses D3 v6 (loaded via a global script tag) with the `csv` parser, `scaleLinear` for scaling, and `axisLeft`/`axisBottom` for axes. The data is fetched from a Google Drive CSV URL, and the SVG rendering fills the full browser window.

YYash_Mistry