Skip to main content
SimilarExport ZIP
100%

Fork of React & D3 Starter

✓ Published0🌍 Public
Ccm
Last edited Jul 18, 2023
Created on Jul 18, 2023
Forked from 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.

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 example demonstrates a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. The visualization uses a decoupled React and D3 integration, where a React component manages the SVG element while D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` handle scaling and axes. Data is loaded asynchronously via `d3.csv` and parsed into numeric values. The code showcases reusable patterns for scalable projects, rendering circles with a fill opacity of 0.5 across the full browser window.

Sshivendrarai
97% 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
97% match
Loading thumbnail…

Fork of React & D3 Starter

This example demonstrates a decoupled React and D3 integration using a scatterplot of the Iris dataset. It shows the relationship between sepal length and petal length, with each flower represented as a semi-transparent circle. The visualization is rendered as SVG through React components, while D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` handle the scaling and axes. Data is loaded asynchronously via the `csv` function from d3-fetch, with React's `useState` and `useEffect` managing the data fetching lifecycle.

VVikasSharma
96% match
Loading thumbnail…

Fork of React & D3 Starter

This example demonstrates a scatter plot of the Iris dataset, using sepal length and petal length as the x and y axes. It serves as a starter template for scalable React and D3 projects, showcasing a decoupled integration pattern. The visualization renders as an SVG, with D3 v7 handling scales, axes, and circles, while React manages the component lifecycle and data loading. The code uses `scaleLinear`, `axisLeft`, and `axisBottom` from D3, and `csv` for data parsing.

IIndhuKrishnaraj
96% match
Loading thumbnail…

Fork of React & D3 Starter

This example demonstrates a scatter plot of the Iris dataset, using sepal length and petal length as the x and y axes. It serves as a starter template for scalable React and D3 projects, showcasing a decoupled integration pattern. The visualization renders as an SVG, with D3 v7 handling scales, axes, and circles, while React manages the component lifecycle and data loading. The code uses `scaleLinear`, `axisLeft`, and `axisBottom` from D3, and `csv` for data parsing.

IIndhuKrishnaraj
96% match
Loading thumbnail…

Fork of React & D3 Starter

This example demonstrates a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with circles colored by species. The visualization is built with React and D3 v7, using a decoupled architecture where React manages the SVG container and D3 handles scales, axes, and circle rendering via `d3.axisLeft`, `d3.axisBottom`, `d3.scaleLinear`, and `d3.extent`. Data is loaded asynchronously from a CSV file using `d3.csv`.

GGuna
96% 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
96% match
Loading thumbnail…

Fork of React & D3 Starter

This example presents a scatter plot of the Iris dataset mapping sepal length versus petal length, with circles colored by transparency. It serves as a starter template demonstrating how to integrate React and D3 in a real-world project. The code uses React hooks like `useState` and `useEffect` to load and parse CSV data, while D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` handle scaling and axes. The visualization is rendered as SVG through a decoupled architecture where D3's `select` and `join` methods manage the circle elements.

YYiorgos Bagakis
96% match