Skip to main content
SimilarExport ZIP
100%

Fork of Animated Reusable D3 Scatter Plot

✓ Published0🌍 Public
Sshaun
Last edited Nov 26, 2021
Created on Nov 26, 2021

This animated scatter plot cycles through the numeric columns of the classic Iris dataset, changing the x-axis variable every three seconds while keeping sepal width on the y-axis. Using D3 v6, it leverages `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to render axes, and D3's `transition` with a one-second duration to animate both the movement of circles and the fading of axis titles. The visualization is drawn as an SVG, with the data fetched as CSV from a GitHub gist, and updates a reusable chart component via D3's join operation for enter, update, and exit states.

AI-generated description

Added axis titles and animation to the x-axis label.

A couple of questions when making this update:

  1. When using the ternary operator continue does not seem to work whithin a for loop. line 43 of index.js

  2. Need to call the plot() function before i is incremented. Is this related to the fact that this is an async function? So will i only be evaluated within call() and not when the scatterPlot() instance is created? line 65 of index.js

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, updating the x-axis and its title every three seconds while keeping the y-axis fixed on petal width. The visualization uses D3 v6 with a reusable scatter plot component that leverages `scaleLinear`, `axisBottom`, `axisLeft`, and `transition` to smoothly animate point positions and axis labels. Rendering is done via SVG, and the data is loaded from a CSV file hosted on GitHub.

CCurran Kelleher
95% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot displays the Iris dataset, cycling through four different x-axis dimensions (petal width, sepal width, petal length, and sepal length) every three seconds while keeping sepal length on the y-axis. Built with D3 v6, the visualization uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `transition` to smoothly animate the repositioning of circles over one second. The chart is rendered as an SVG with a full-viewport layout, and each data point is a circle with a radius of 5 pixels. The code follows a reusable chart pattern with configurable width, height, margins, and data accessors.

EEmma Schaale
94% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This example shows an animated scatter plot of the Iris dataset, cycling through different combinations of sepal and petal measurements every three seconds. The chart is built with d3.v6, using `scaleLinear`, `axisLeft`, `axisBottom`, and `selection.join` to handle enter, update, and exit transitions. Circles grow from radius zero on entry, smoothly reposition with staggered delays during updates, and the axes animate alongside using `transition`. Data loads as CSV from a gist, and the SVG renders full-screen with a custom font.

Sszhang99
94% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This example animates a scatter plot of the Iris Dataset, cycling through columns as the x-axis variable (petal width, sepal width, petal length, sepal length) every three seconds. It renders as an SVG with D3’s `scaleLinear`, `axisLeft`, and `axisBottom` for axes, and uses the `selection.join` API for efficient circle and axis updates. Transitions via `transition()` with a one-second duration and staggered delays smoothly reposition the points and axes. The chart is reusable, configured through chained methods like `.width()`, `.data()`, and `.xValue()`.

EEmma Schaale
94% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, plotting each one against the final column (petal width) on a full-screen SVG canvas. The visualization updates every three seconds, transitioning points and axes smoothly over one second. Built with D3 v6, the code uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `transition` to animate marks, axis labels, and titles, while a reusable `scatterPlot` component manages the chart's state and updates.

Rrallabandisushen@gmail.com
94% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This example is a reusable, animated scatter plot of the Iris dataset, cycling through different flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis every three seconds. It uses D3 v6 with an SVG rendering, scaling points via `d3.scaleLinear` and `d3.extent`. Transitions animate circle positions with a staggered delay and axis updates, using `selection.join` for enter, update, and exit phases. The code demonstrates a configurable chart factory pattern, similar to Bostock's reusable charts, with data loaded from a CSV via `d3.csv`.

Zzhuomo-maker
93% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, plotting each feature against the last one. The visualization uses D3.js’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `transition` animates the circles as the x-axis changes every three seconds. The code also implements reusable chart components with getter and setter methods, and includes axis titles that animate in and out.

SShreeti Upreti
93% match
Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, plotting each feature against the last one. The visualization uses D3.js’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `transition` animates the circles as the x-axis changes every three seconds. The code also implements reusable chart components with getter and setter methods, and includes axis titles that animate in and out.

SShreeti Upreti
93% match