Skip to main content
SimilarExport ZIP
100%

ICE-7 Resuable scatter plot

✓ Published10🌍 Public
LLG0498
Last edited Mar 29, 2022
Created on Mar 22, 2022

This animated scatter plot visualizes the Iris flower dataset, displaying different species as colored circles (green, indigo, and red) that cycle through various sepal and petal measurement axes every two seconds using D3.js. The visualization uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.axisLeft/axisBottom for the coordinate system. A reusable scatterPlot function encapsulates the chart logic, while SVG circles with dynamic positioning and the setInterval timer drive the rotating axis combinations. The rendering is built with D3 v6.7.0, featuring a tech-style font and full-window responsive SVG layout.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-7 Resuable scatter plot

This interactive scatter plot animates the Iris dataset, cycling through combinations of petal and sepal measurements every two seconds. It uses D3.js to render a full-screen SVG with animated transitions, using the `scatterPlot` reusable module to handle axes and circle positioning. Each point is colored by species—setosa in red, versicolor in pink, and virginica in green—based on the `species` field. The visualization demonstrates a reusable scatter plot component that can dynamically update its x and y axes.

Cchandrakalavanukuri
94% match
Loading thumbnail…

ICE 7 Reusable Scatter Plot

This interactive scatter plot visualizes the Iris dataset, encoding petal width against sepal length with points colored and shaped by species. A reusable chart function built with d3.scaleLinear, d3.scaleOrdinal, and d3.symbol maps data to SVG paths, while d3.axisLeft and d3.axisBottom render axes. Every two seconds, the plot cycles through different numeric columns as the x-axis variable, updating the visualization via a setInterval callback that re-invokes the chart function with new accessor functions.

Kkakumanusreya
94% match
Loading thumbnail…

ICE_7_Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements while coloring each point by species. The chart cycles through four different x-axis variables on a timer, updating the axes and labels dynamically with animated transitions. Built with D3 v6, it uses SVG rendering with custom scales, axes, and legend elements. The code leverages d3.scaleLinear, d3.axisLeft, d3.axisBottom, and d3.csv to load and process the data, with a reusable scatterPlot function handling the chart structure.

Nnithish-1999
94% match
Loading thumbnail…

ICE7 - Reusable Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, with data points colored by species. Built with D3.js v6, the plot cycles through different attribute pairs on the x-axis, including petal width, sepal width, petal length, and sepal length, updating the axes and circles each second. It uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the chart, along with SVG elements for rendering and a fixed legend for species identification. The implementation follows a reusable chart pattern, allowing dynamic configuration of dimensions, margins, and value accessors.

Ssuchitra2602
93% match
Loading thumbnail…

ICE - 7 Reusable Scatter Plot

This visualization cycles through the Iris dataset, automatically animating between scatter plots that map each of the four flower measurements to the x-axis while keeping sepal length on the y-axis. The code uses a reusable D3 scatterPlot function with scaleLinear, axisLeft, and axisBottom to render axes, while each data point is drawn as a circle colored by species. A setInterval updates the x-value mapping every 1.9 seconds, with the axis labels updating accordingly. The visualization uses D3’s csv loader and SVG rendering to display the data.

RRohithReddy-thoughts
93% match
Loading thumbnail…

ICE7.1 Reusable_D3_Scatter_Plot.

This animated scatter plot visualizes Iris flower measurements, cycling through different feature combinations on the x-axis while plotting petal width against sepal length. The visualization uses D3.js v6 with SVG rendering and animation, leveraging scales (scaleLinear), axes (axisLeft, axisBottom), and data loading via d3.csv. Circles are colored by species (red, violet, orange) with a legend, and the plot updates every few seconds to display different variable pairings from the Iris dataset.

KKetha
93% match
Loading thumbnail…

ICE 7 Reusable Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing the relationship between petal and sepal measurements for three flower species (setosa, versicolor, and virginica) using color-coded circles. Built with D3 v6, the visualization cycles through different measurement combinations every 2 seconds using setInterval, updating the x-axis and scatter positions. The implementation uses d3.scaleLinear for axes, d3.scaleOrdinal for species colors, and d3.axisLeft/d3.axisBottom for rendering axes in SVG. Data loads from a GitHub Gist CSV via d3.csv, with circles animated through D3's join pattern.

Vvegurusaiprathyusha
93% match
Loading thumbnail…

ICE7 Reusable Scatter Plot

This visualization displays the classic Iris dataset as a scatter plot, using petal width and sepal length as its primary axes—though a `setInterval` loop cycles through all four measurement columns every two seconds to animate the chart. The code builds a reusable `scatterPlot` function with d3.scaleLinear, axisLeft, and axisBottom, while the main script imports data via d3.csv and assigns colors with d3.scaleOrdinal. Rendering uses SVG circles with annotations for axes and legends. The example demonstrates d3.v6 reusable chart patterns and animated data transitions.

BBVNPK001
93% match