Fork of React & D3 Starter

100%

Fork of React & D3 Starter

✓ Published1🌍 Public

Last edited Jun 22, 2022

Created on Jun 22, 2022

This scatterplot of the Iris dataset plots sepal length against petal length, with each flower represented as a translucent circle. Built as a starter template, it demonstrates a decoupled React and D3 integration: React manages the component lifecycle and SVG container, while D3 handles scales and rendering. The code uses D3 v7’s `csv`, `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` within a `VizWrapper` that passes data and dimensions to a reusable `viz` function, illustrating patterns for scaling complexity in real-world projects.

AI-generated description

This viz is a starter that demonstrates patterns used in real world projects in which complexity is anticipated to scale.

Decoupled React & D3 integration
Opening moves for scalable complexity
Industry standard ES modules and JSX
Copy-paste into existing projects

Any questions? Ask on Twitter!

Also viewable in:

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of React & D3 Starter

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. The visualization is built with React 18 and D3 v7, using a decoupled pattern where the `VizWrapper` component manages the SVG lifecycle while the `viz` function handles D3 scales, axes, and circle rendering. Data loading occurs through a custom `useData` hook that parses the CSV file, and the chart renders responsive to the full browser window. The example demonstrates scalable integration of React and D3 for real-world projects.

JJason Summercamp

95% match

Loading thumbnail…

Fork of React & D3 Starter

This example shows a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with each circle representing a flower sample. The visualization is built with React and D3 v7, using a custom `viz` function that creates linear scales via `d3.scaleLinear` and renders SVG circles with the data join pattern. Axes are added through `d3.axisLeft` and `d3.axisBottom` in a separate module. The code demonstrates a decoupled architecture where React manages the component lifecycle and D3 handles the drawing logic, with data loaded asynchronously via `d3.csv`.

CCheng Tang

95% match

Loading thumbnail…

Fork of React & D3 Starter

This example presents a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. It demonstrates a decoupled React and D3 integration pattern for scalable projects, rendering circles as SVG elements within a React component. The code uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, while React manages component state and lifecycle. Data is loaded asynchronously from a CSV file using D3’s `csv` function, with the visualization wrapped in a reusable `viz` function.

Ccm

94% match

Loading thumbnail…

Fork of React & D3 Starter

This example demonstrates a scatterplot of the Iris dataset, plotting sepal length against petal length as semi-transparent circles rendered in SVG. It uses React to manage the component lifecycle, with a `useData` hook loading CSV data via `d3.csv` and a `VizWrapper` component using `useEffect` and `select` to invoke the D3 `viz` function. D3 scales (`scaleLinear`, `extent`) and axes (`axisLeft`, `axisBottom`) are employed, showcasing a decoupled React and D3 integration pattern for scalable projects.

SSofia Nagavkina

94% match

Loading thumbnail…

Fork of React & D3 Starter

This example shows a scatterplot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis with semi-transparent circles. It demonstrates a decoupled React and D3 integration pattern for scalable projects. The React component `App` loads CSV data via a custom `useData` hook, while `VizWrapper` manages the SVG container and delegates rendering to a pure D3 `viz` function. D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` are used to compute scales and draw axes with SVG.

Bbillmccabeusa@hotmail.com

94% match

Loading thumbnail…

Fork of React & D3 Starter

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis. It uses React for component management and D3 v7 for rendering an SVG with circles and axes. The implementation decouples React and D3, using a custom `useData` hook to fetch CSV data and a `VizWrapper` to orchestrate the D3 visualization.

Bbrunotrindademachado

94% match

Loading thumbnail…

Fork of React & D3 Starter

This example renders the classic Iris flower dataset as a scatter plot using React for component structure and D3 for scales, axes, and circle positioning. Sepal length appears on the x-axis and petal length on the y-axis, with semi-transparent circles for each data point. The code demonstrates a decoupled React and D3 integration, where a `VizWrapper` component manages the SVG element and calls a `viz` function that selects circles and axes using `d3.selectAll` and `.join`. It uses `d3.scaleLinear` and `d3.extent` for scaling, with axes created via `d3.axisLeft` and `d3.axisBottom`.

TTehran Mammadov

94% match

Loading thumbnail…

Fork of React & D3 Starter

This example shows a scatterplot of the Iris dataset, plotting sepal length against petal length for each flower sample. The visualization is built with React and D3 v7, where React manages the component lifecycle and D3 handles the rendering of circles, axes, and scales. The visualization uses D3's `csv` loader to parse the data, `scaleLinear` for coordinate mapping, and `axisLeft`/`axisBottom` for the axes, all output as SVG elements.

SSimone Tolomelli

94% match