Reusable D3 Scatter Plot Practice

Reusable D3 Scatter Plot

This example presents a reusable scatter plot built with D3 v7 and React, dynamically updating every two seconds to cycle through different Iris flower measurements. The visualization displays points scaled by petal width and sepal length, then animates through columns like sepal width and petal length by re-binding the x-value accessor. It demonstrates the getter-setter pattern for modular chart configuration, using D3's `scaleLinear`, `axisLeft`, `axisBottom`, and `selectAll().join()` for SVG rendering. Data comes from a remote CSV of the classic Iris dataset, parsed with numeric coercion.

GGautier DAVID

Reusable D3 Scatter Plot

This example shows an animated scatter plot of Iris flower data, cycling through different petal and sepal measurements every two seconds. The visualization uses D3.js in a React environment to render SVG circles, with axes that update dynamically as the selected columns change. A reusable scatterPlot function encapsulates the chart logic, while the main script handles data loading from a GitHub Gist CSV and manages the animation interval. The plot includes a color-coded legend for species and uses D3's scaleLinear, scaleOrdinal, axisLeft, and axisBottom APIs to build the visualization.

Mmandalasaikrishna007

Reusable D3 Scatter Plot Following Along

This example demonstrates a reusable scatter plot that animates through different Iris flower measurements, cycling between petal width, sepal width, petal length, and sepal length every two seconds. The visualization uses D3's `scaleLinear`, `axisLeft`, `axisBottom`, and data join methods to render SVG circles and axes, with the `scatterPlot` function implementing a reusable chart pattern. The plot updates smoothly as new x-value accessors are assigned, showing how the same underlying data can reveal different patterns depending on which variables are compared. It loads the Iris dataset from a CSV file and renders it at full window size.

PParker-D5

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot that visualizes the Iris Dataset, displaying measurements like petal width and sepal length as colored circles. It cycles through different column pairs every two seconds, animating the axes and points to show relationships between various flower attributes. The chart uses D3 v6 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` function that follows the reusable chart pattern. Data loads via `csv` from a GitHub Gist, and the SVG rendering updates smoothly as the selected variables change.

AAkrutiKhurana2103

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

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

D3 Reusable Charts

This example demonstrates a reusable scatter plot component built with D3 v6 that cycles through different iris flower measurements every two seconds. The visualization uses the classic Iris dataset loaded from a GitHub gist, with sepal length plotted on the y-axis while the x-axis rotates through sepal length, petal length, sepal width, and petal width. The scatterPlot function exposes chainable setter methods for configuring dimensions, margins, data accessors, and point radius, while the main script uses D3’s `select`, `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` APIs to render the SVG with animated transitions.

Ccardoza-IPH

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot of the Iris dataset, cycling through different flower measurements every two seconds to show the relationship between variables. Built with D3 v6, it uses the reusable chart pattern with a closure-based `scatterPlot()` function exposing getter-setter methods for width, height, data, margins, and scales. The plot renders SVG circles with `d3.scaleLinear` for axes and `axisLeft`/`axisBottom` for ticks, updating via `selection.join()`. Data is loaded from a CSV file using `d3.csv`, while the animation is driven by `setInterval`, calling the plot again with a new x-value mapping.

NNithish Kumar