Reuseable D3 Scatter Plot Exercise

Reusable D3 Scatterplot

This example shows a reusable D3 scatterplot built with React, displaying the Iris dataset with petal width on the x-axis and sepal width on the y-axis. The code defines a configurable `scatterPlot` component using `scaleLinear` and `axisLeft`/`axisBottom` from D3 v7, rendering SVG circles with tooltips. It loads data via `d3.csv` from a remote URL, and the plot adapts to the window size. The component’s chainable setter functions allow customization of dimensions, margins, and data mappings, demonstrating a flexible, modular approach to chart construction.

Rrespingu

Reusable D3 Scatterplot

This example demonstrates a reusable scatterplot component built with React and D3.js, visualizing the classic Iris dataset. It uses `d3.csv` to fetch and parse the data, `scaleLinear` to map petal length and sepal length to pixel coordinates, and `axisLeft` and `axisBottom` to render the axes. The plot is rendered as SVG via a custom `scatterPlot` function that supports configurable width, height, margins, and radius, following a pattern for reusable D3 charts.

MMichael Gomersall

Reusable D3 Scatter Plot

This reusable scatter plot, built with React and rendered as SVG, displays the Iris dataset, plotting petal width against sepal length. Implemented using D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, the visualization features a custom, configurable `scatterPlot` function that chains methods for setting dimensions, data, axes, and point radius. The code loads data via D3’s `csv` and uses a minimalist interface with Share Tech typography, showing how a flexible D3 component can be integrated into a React application.

Ppawelsapiecha

Reusable D3 Scatter Plot

This example presents a reusable scatter plot built with D3.js and React, displaying the Iris dataset with petal length on the x-axis and sepal length on the y-axis. The visualization is rendered as an SVG, with circles sized by a configurable radius and axes generated using D3’s `scaleLinear`, `axisBottom`, and `axisLeft`. A custom `scatterPlot()` function encapsulates the chart logic, allowing width, height, margins, and data accessors to be set via a fluent interface, demonstrating a modular approach to building interactive visualizations with D3 v7.

Ttverdone

UUzoemeka Okechukwu Innocent

Reuseable Scatter Plot on D3

This example demonstrates a reusable scatter plot component built with D3 and React. It visualizes the Iris dataset, plotting petal length against sepal length, with each data point rendered as a circle with a radius of 5 pixels. The visualization uses D3’s `csv` function to fetch and parse data from a remote URL, and the `select` API to create an SVG canvas that fills the browser window. The scatter plot is implemented as a customizable function, accepting configurable properties for dimensions, margins, data, and axis value accessors.

Reusable D3 scatter plot

This example presents an interactive scatter plot of the classic Iris flower dataset, using SVG circles to visualize relationships between different measurements like petal length and sepal length. Built with React and D3 v3, the visualization cycles through four data columns every two seconds, smoothly animating the transition of points across axes via D3’s `transition.attr` method. The reusable `scatterPlot` function leverages D3 scales (`scaleLinear`), axes (`axisLeft`, `axisBottom`), and data joins to dynamically update the visualization. The code loads data from a remote CSV using `d3.csv` and adapts to the browser viewport dimensions.

Bbjfmbeck

Reusable D3 Scatter Plot

This example presents a reusable D3.js scatter plot component built with React and D3 v7. It cycles through different Iris flower measurements (petal width, sepal width, petal length, sepal length) every two seconds, animating the x-axis while the y-axis remains fixed on sepal width. Using `d3.csv` to load the Iris dataset, it leverages `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to render SVG circles and update axes dynamically. The scatter plot’s configuration is managed through getter/setter methods, allowing flexible parameter changes without redrawing the entire visualization.

Mmax-31

Reusable D3 Scatter plot dec14

This example renders a scatter plot of the Iris dataset, plotting petal length against sepal length using a reusable D3 chart component. The code loads data via `d3.csv`, maps values with `scaleLinear`, and renders circles as SVG elements. Axes are added using `axisLeft` and `axisBottom`, while the component’s width, height, margins, and radius are configured through a fluent API. The visualization fills the browser window and updates dynamically based on the provided data.

WWasanta Pruttisarikorn