Reusable Scatter Plot

Reusable Scatter Plot

This example demonstrates a reusable scatter plot that visualizes the Iris dataset, plotting sepal length against petal length for each flower variety. The chart uses D3.js v7 with SVG rendering to display circles representing individual data points, with axes scaled linearly from zero to the maximum attribute values. The implementation defines a reusable `scatterplot()` function that accepts a selector, data, and two attribute names, enabling the same visualization logic to be applied to different data fields. The JavaScript code leverages `d3.csv()` for data loading, `d3.scaleLinear()` for coordinate mapping, and D3 axis generators to create the chart.

FFande Workspace

Reusable d3 Scatter Plot

This reusable scatter plot displays the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis as SVG circles with a fixed radius. Built as a configurable function using d3.scaleLinear, d3.extent, d3.axisLeft, and d3.axisBottom, it fetches CSV data via d3.csv and supports setters for width, height, margins, and value accessors. Applied to a full-window SVG through a D3 selection, the chart renders axes with styled tick text and updates dynamically when re-invoked with new parameters.

AAndrea Mignone

Reusable Scatter Plot

This example plots the classic Iris dataset with petal length on the x-axis and sepal length on the y-axis. The d3.v7 code loads the CSV, parses numeric fields, and uses `scaleLinear` with `extent` to map data to screen coordinates. Circles are bound to the data, with axes generated via `axisLeft` and `axisBottom` within a margin-defined layout. The chart fills the browser window, rendering all points as simple SVG circles with a fixed radius.

GGayan Priyadarshana

Reusable D3 Scatter Plot

This example demonstrates a scatter plot of the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. The visualization uses D3 v7 APIs including `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data, scale positions, and render axes. Circles of fixed radius are drawn as SVG elements with coordinates computed from the scaled values. The chart fills the browser window, with the data sourced from a GitHub Gist and rendering done entirely in SVG.

KKerim

UUzoemeka Okechukwu Innocent

Reuseable D3 Scatter Plot

This example demonstrates a reusable scatter plot built with D3.js, visualizing the Iris dataset by mapping petal length to the x-axis and sepal length to the y-axis. The code uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.axisLeft` and `d3.axisBottom` to render the ticks and labels. Circles are drawn as SVG elements with dimensions that adapt to the full browser viewport, using the `d3.select` and `join` pattern for efficient data binding.

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

Reusable scatter plot

This example demonstrates a reusable scatter plot component built with D3.js, visualizing the Iris dataset. The plot maps petal width to the x-axis and sepal length to the y-axis, with species encoded through distinct SVG symbols. The implementation uses D3's `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, `symbol`, and the `join` operator to create a flexible, configurable chart. The iris data is loaded from a CSV file, and the SVG rendering adapts to the full browser window dimensions.

Yyaswanthsen

Scatter Plot - Reusable

This example presents a reusable scatter plot built with D3 and React, visualizing the classic Iris dataset. It maps petal length to the x-axis and sepal length to the y-axis, using D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to generate axes and position circles. The plot is rendered as SVG within a full-screen viewport, with margins and point radius configured through a chainable function interface. Data is loaded asynchronously via D3’s `csv` parser, demonstrating a modular pattern for encapsulating chart logic.

Mmaxthamt