Reusable Scatter plot Activity 8

100%

Reusable Scatter plot Activity 8

✓ Published0🌍 Public

Last edited Jul 13, 2023

Created on Jul 13, 2023

An animated scatter plot cycles through different x-axis variables, plotting iris flower measurements of petal and sepal length and width. The visualization uses D3.js to create SVG circles, coloring each point by species and displaying a corresponding legend. Data is loaded from a CSV file via `d3.csv`. The plot updates at intervals, rotating which column appears on the x-axis while keeping sepal length fixed on the y-axis, all rendered with dynamic axes and labels.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Reusable Scatter plot Activity 8

This example demonstrates an interactive scatter plot that cycles through different iris flower measurements on the x-axis, using petal width, sepal width, petal length, and sepal length in sequence with animation. The visualization loads the Iris dataset via D3’s `csv` function and uses a reusable `scatterPlot` module built with D3 v6, employing `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes. SVG circles are colored by species (setosa, versicolor, virginica) using custom color mappings, with a legend and axis labels rendered as SVG text elements. The animation updates the x-axis mapping every few seconds via `setInterval`.

NNukaShravanKumar

94% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot animates through different Iris flower measurements, cycling the x-axis between petal width, sepal width, petal length, and sepal length every few seconds. It uses D3 v6 to load CSV data asynchronously, render SVG circles colored by species, and update scales and axes via a reusable `scatterPlot` module. The visualization includes axis labels, a species legend, and a title, demonstrating dynamic data binding with `selectAll`/`join` and interval-driven transitions.

LLakshmanRangisetti

94% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, displaying relationships between sepal and petal measurements. It cycles through different x-axis variables (petal width, sepal width, petal length, sepal length) in an animation, with each species point colored distinctly (skyblue, lightgreen, orange). The D3-based implementation loads data via `d3.csv`, uses a custom `scatterPlot` module that leverages `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the axes, and renders the animated transitions via `setInterval` and the `join` API for circles.

LLakshmanRangisetti

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This animated scatter plot visualizes the Iris flower dataset, showing the relationships between petal and sepal measurements across three species. The visualization cycles through different column pairings on the x-axis every few seconds, with points colored by species type. Built with D3 v6, it uses the scatterPlot reusable function to manage scales and axes, while the main script handles animation through setInterval. The SVG rendering includes a legend, axis labels, and a title, with data loaded from a CSV file hosted on GitHub.

Vvineelaramulapalli32

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This example presents an animated scatter plot of the Iris dataset, cycling through different pairings of sepal and petal measurements on the x-axis while keeping petal width on the y-axis. Each point is colored by species, with a legend and explicit axis labels that update with the animation. The visualization is built using D3.js version 6.7.0, loading data via the `csv` function and leveraging a custom `scatterPlot` module that uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. The SVG rendering is refreshed on an interval, updating axes and labels dynamically.

Aanith462@gmail.com

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, mapping petal width against sepal length across three flower species distinguished by color. Built with D3.js, the visualization uses SVG circles and a reusable scatterPlot function that cycles through different column combinations on the x-axis every few seconds via setInterval. The code employs d3.csv for data loading, d3.scaleLinear for axis scaling, and d3.axisBottom/axisLeft for tick marks, while custom labels, a color legend, and a title are appended directly to the SVG.

MmNamratha25

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, showing sepal and petal measurements as colored circles representing three flower species. The visualization cycles through different variable pairings on the axes using a timer, updating the chart every few seconds. Built with D3.js version 6, the code uses `csv()` to load data, `select()` and `join()` for SVG rendering, and `setInterval()` to trigger axis transitions. The reusable `scatterPlot()` function manages the chart layout, while custom legend markers and axis labels are appended dynamically.

Vvineelaramulapalli32

92% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, displaying relationships between sepal and petal measurements with color-coded species markers. The visualization cycles through different attribute combinations on the x-axis at regular intervals, while the y-axis remains fixed on sepal length. Built with D3.js, it uses reusable scatter plot components, including scaleLinear for coordinate mapping, axisBottom and axisLeft for axes, and setInterval for animation. The SVG rendering includes custom legends, rotated axis labels, and title styling, with data loaded from a CSV file and parsed through d3.csv.

Hharipriyaa07

92% match