Fork of React & D3 Starter

Fork of React & D3 Starter

100% match

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.

97% match

Fork of React & D3 Starter

97% match

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

96% match

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 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 Fork of React & D3 Starter

A scatter plot of the classic Iris flower dataset, mapping sepal length against petal length and rendering each sample as a semi-transparent circle. The visualization is built with React, which manages the interface and data loading, while D3 v7 handles the rendering logic, including linear scales, axes, and SVG circle elements. It serves as a template demonstrating a decoupled React-D3 integration pattern, loading data via D3's CSV parser and using D3's scaleLinear for coordinate mapping.

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