Reusable Scatter plot Activity 8

100%

Reusable Scatter plot Activity 8

✓ Published0🌍 Public

Last edited Jul 22, 2023

Created on Jul 22, 2023

Forked from Untitled

This interactive scatter plot displays the Iris flower dataset, encoding sepal and petal measurements along the axes for up to four variable comparisons. Users observe the plot’s axes and data points cycling automatically at intervals, with species represented by distinct colors (skyblue, lightgreen, orange) via a custom marker function. The example demonstrates reusable chart architecture: a modular `scatterPlot` function built with D3 scales (`scaleLinear`), axes (`axisLeft`, `axisBottom`), and SVG circle selections, while `setInterval` drives the dynamic axis-value updates. Data loads as CSV from a GitHub gist, and the rendering includes an animated legend and axis 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 interactive scatter plot visualizes the Iris dataset, cycling through four different measurement pairings on the x-axis every few seconds. Circles represent individual flowers, colored by species (setosa, versicolor, virginica), while sepal dimensions control the ellipses' rx and ry radii alongside petal-based x-y positions. Built with D3 v6, it uses `scaleLinear`, `axisBottom`, and `axisLeft` for scales and axes, and `setInterval` to trigger animation. Data loads via `d3.csv` from a GitHub-hosted CSV file, with SVG rendering and custom color legend.

MManideeprenikindi

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot displays the Iris dataset, animating through different feature pairs on the x-axis every few seconds. It uses the D3.js library (version 6.7.0) to create an SVG visualization, with a custom `scatterPlot` export that builds the plot using `scaleLinear`, `axisLeft`, and `axisBottom` for axes. The animation cycles through four measurement columns, updating the x-axis while keeping the y-axis fixed on sepal length. Data is fetched from a GitHub gist CSV, and points are colored by species (setosa, versicolor, virginica), with a legend and title rendered as SVG text elements.

MManideeprenikindi

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

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, cycling through four measurement pairs (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica) with a legend, and axis labels update dynamically. Built with D3.js, the example demonstrates reusable chart modules via `scatterPlot()` with `scaleLinear`, `axisLeft`, and `axisBottom`, and uses SVG rendering with animations driven by `setInterval` to switch between dimensions.

BBhavyaMammai

93% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot explores the Iris dataset, displaying four measurement attributes while cycling through different x-axis variables to reveal patterns among three flower species. The visualization color-codes data points by species using custom markers and includes a legend, axis labels, and animated transitions. Built with D3.js version 6.7, it combines reusable scatter plot components, scaleLinear, axisBottom, and axisLeft functions with SVG rendering. The chart automatically updates every interval, rotating through petal width, sepal width, petal length, and sepal length on the x-axis while maintaining a fixed y-axis for comparison.

Bbogasamudramvamsikrishnareddy

93% 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

92% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, using D3 to display sepal and petal measurements colored by species. The view cycles through four attribute pairs on the x-axis every few seconds, updating axes via d3.axisBottom and d3.axisLeft while circles are redrawn using d3.scaleLinear and extent. A custom legend and labels are added as SVG text elements, with data loaded asynchronously via d3.csv from a remote gist.

Ppardha1411

92% match

Loading thumbnail…

Reusable Scatter plot Activity 8

This example displays the classic Iris flower dataset as an animated scatter plot, cycling through four different feature pairings on the axes every few seconds. The visualization uses a reusable `scatterPlot` module built with D3 v6, which leverages `scaleLinear`, `axisLeft`, and `axisBottom` to render axes. Points are colored by species (setosa, versicolor, virginica) and include a custom legend with labels. The animation is driven by `setInterval`, updating the plot's x-value accessor to switch between petal width, sepal width, petal length, and sepal length, while the SVG rendering updates accordingly.

VVarshareddy2912

91% match