Fork of React & D3 Starter

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

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

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

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

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

Fork of React & D3 Starter

IIndhuKrishnaraj

Rrevanthdasari10@gmail.com

Fork of React & D3 Starter

This example displays a static scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. It renders purple circles within an SVG element using D3.js v7’s `scaleLinear`, `axisBottom`, and `axisLeft` functions. The data is loaded asynchronously from a CSV file hosted on GitHub. Despite being a React project, the visualization itself is created entirely with imperative D3 code, while the React component only injects a separate text message.

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