Fork of Fork of React & D3 Starter

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 visualization displays the classic Iris flower dataset as a scatter plot, plotting sepal length against petal length. It demonstrates a decoupled integration of React and D3, where the React component manages the SVG element lifecycle while D3 handles the rendering logic. The code uses D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to compute scales and draw axes, with React hooks managing data loading via `useData`.

RRevanthGrreddy

Fork of Fork of React & D3 Starter

This scatterplot visualizes the Iris dataset, plotting sepal length against petal length with semi-transparent circles. It demonstrates a scalable React and D3 integration, using React hooks (useState, useEffect, useRef) to manage data loading and the component lifecycle. D3 v7 handles SVG rendering and scales, including axis generation via d3.axisLeft and d3.axisBottom. The visualization fills the browser window, encoding each flower measurement as a point.

RRevanthGrreddy

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.

Fork of React & D3 Starter

Fork of Fork of React & D3 Starter-2

This example displays a scatterplot of the classic Iris flower dataset, using sepal length for the x-axis and petal length for the y-axis, with each point drawn as a semi-transparent circle. The visualization is implemented using React for the component structure and D3 v7 for the rendering logic, specifically leveraging D3's `scaleLinear`, `extent`, and axis functions to map data values to pixel coordinates. The SVG output is generated within a React wrapper that uses a `useRef` hook to pass the target element to the D3 visualization function. The data is loaded asynchronously via D3's `csv` parser, and the chart scales to the full size of the browser window.

RROU

Fork of React & D3 Starter

This example presents the classic Iris dataset as a scatter plot, mapping sepal length to the x-axis and petal length to the y-axis, with each flower as a semi-transparent circle. The visualization serves as a starter template for scalable React and D3 projects. Built with React 18 and D3 v7, it decouples the React component from the D3 rendering logic, using `useEffect` and `useRef` to manage the SVG. The code employs D3's `selectAll` and `.join` for efficient element creation, `scaleLinear` for axes, and `csv` for data loading.

Nnitika1234567