Fork of React & D3 Starter

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

97% match

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

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.

Fork of React & D3 Starter

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

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 shows a scatterplot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with semi-transparent circles for each observation. It demonstrates a pattern for integrating React and D3.js, where React manages the component lifecycle and DOM rendering via JSX, while D3 handles scales, axes, and the data join. The visualization uses `d3.scaleLinear` for both axes, `d3.extent` to compute domains, and `d3.axisLeft` and `d3.axisBottom` to draw the axes. The code is structured as a starter template, separating data loading, viz logic, and React wrappers for scalable complexity.

95% match

Fork of React & D3 Starter