D3 + React

React & D3 Scatter Plot

This React & D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length. Each circle represents a flower sample, with the visualization built using an SVG rendering approach. The code demonstrates a decoupled architecture where React manages the component lifecycle and D3 handles the rendering logic. It uses `d3.scaleLinear` for coordinate mapping, `d3.extent` for domain calculation, and `d3.axisLeft`/`d3.axisBottom` for chart axes, all within a modular structure that scales well for complex projects.

Bbrunotrindademachado

D3 Scatter Plot

This example renders the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v7 to load the CSV data via `d3.csv`, and then builds scales with `d3.scaleLinear` and `extent` to compute domains. Circles are drawn as SVG elements, with axes generated through `d3.axisLeft` and `d3.axisBottom`. The visualization adapts to the full browser window and includes a large font size for tick labels via CSS.

SSubhendu Karmakar

D3 Plot with React

This example visualizes the Iris dataset as a scatter plot of petal length against sepal width, with each flower represented by a circle. It uses React to render SVG elements, while d3-scale’s `scaleLinear` computes the x and y positions and d3-array’s `extent` sets the domains. Custom React components (AxisBottom, AxisLeft, Marks) generate ticks and circles. Data loads asynchronously via d3-fetch’s `csv` from a GitHub gist. The chart includes rotated and positioned axis labels, and hover tooltips using SVG `<title>` elements.

WWasanta Pruttisarikorn

react-d3-scatterplot

This example renders a scatter plot of the classic Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis. Built with React, it loads CSV data via d3.csv and uses d3.scaleLinear to construct the axes. SVG circles represent each data point, with a native title element providing hover tooltips. The code defines reusable components for axes and marks, and uses d3's extent and nice functions to set the scale domains.

GGabriel Dias Menezes

React & D3 Starter

A scatter plot of the Iris dataset shows sepal length against petal length, with each of the 150 flowers represented as a semi-transparent circle. The visualization demonstrates a decoupled React and D3 integration pattern, where React manages the SVG container and D3 handles the rendering logic. The code uses d3.csv for data loading, d3.scaleLinear for scaling, and d3.axisLeft and d3.axisBottom for the axes.

AAnish Lamsal

Basic Scatter Plot with React & D3

This example shows a basic scatter plot of the classic Iris flower dataset, plotting sepal length on the x-axis against sepal width on the y-axis. Each point is rendered as a black circle with a fixed radius of 12 pixels. The visualization is built with React and D3 v7, where React manages the component lifecycle and state, while D3's `scaleLinear` and `extent` functions compute the scales. The `csv` loader reads the data, and the `select` and `join` methods render the circles into an SVG element.

CCurran Kelleher

BBismark Kofi Owusu Sarfo

Basic Scatter Plot with React & D3

This example shows the classic Iris flower dataset in a basic scatter plot. It plots sepal length on the x-axis against sepal width on the y-axis, with each of the 150 data points rendered as a small black circle. The code uses React for component state and effects, while D3 v7’s `select`, `scaleLinear`, and `extent` functions handle the SVG element selection and linear scale mapping. The data is loaded from a CSV file using D3’s `csv` method and passed to a reusable `viz` function for rendering, following a clean separation between React and D3 logic.

d3 and scatterplot

This example displays the classic Iris dataset as a scatterplot, plotting sepal width on the x-axis and sepal length on the y-axis. The code loads the data from a CSV URL and uses d3.csv to parse it, then constructs linear scales with d3.scaleLinear to map the data to screen coordinates. It renders circular marks via SVG circle elements and adds axes using d3.axisLeft and d3.axisBottom. The visualization is built with React, though the core charting logic relies entirely on D3 v7.

Pparag776