Learn Reusable Scatter plot

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 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 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

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

Rehusable Scatter Plot

This example demonstrates a reusable scatter plot built with React and D3, visualizing the classic Iris dataset. It maps petal length and sepal length onto x and y axes using `scaleLinear` and `extent`, rendering circles via SVG. The chart is generated by the custom `scatterPlot` function, which configures margins, radius, and accessor functions through a fluent API. Axes are added with `axisLeft` and `axisBottom`, while data is loaded asynchronously using `csv` and parsed with a row conversion function.

AArturo Guevara

Sserebryanaya.n@gmail.com

Reusable Scatter PLot

This example shows a reusable scatter plot of the Iris dataset, colored by species, with petal length on the x-axis and petal width on the y-axis. The plot is built with React and rendered as SVG using D3’s `scaleLinear`, `axisLeft`, and `axisBottom` for scales and axes, while circles are added via `selection.join`. The dataset is loaded as CSV using D3’s `csv` function, with numeric parsing applied to each row. The scatter plot component is configurable through a fluent API for width, height, data, margins, and other properties.

Reuseable D3 Scatter Plot Exercise

This example demonstrates a reusable D3 scatter plot component built with React, visualizing the classic Iris dataset. It shows the relationship between petal width and sepal length, with a tooltip revealing the flower species on hover. The implementation uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to handle scaling and axes, while applying the component via a functional `.svg` selection call. The data loads from a remote CSV file, and the SVG resizes to fill the browser window.

Ppkdvalis