Skip to main content
SimilarExport ZIP
100%

Fork of Reusable_D3_Scatter_Plot.

✓ Published2🌍 Public
Aav.dj.2000@gmail.com
Last edited Mar 30, 2023
Created on Mar 30, 2023

This interactive scatter plot animates through the Iris dataset, cycling through four possible feature pairings for the x-axis while keeping petal width on the y-axis. The visualization uses D3.js v6 within a React context to render SVG circles colored by species, with a static legend and axis labels. The code employs `scaleLinear` for mapping data to coordinates, `axisLeft` and `axisBottom` for axes, and `setInterval` to trigger sequential updates via the reusable `scatterPlot` module, which re-computes scales and redraws marks on each step.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through four different feature pairs on the x-axis every few seconds. The plot uses D3.js v6 within a React framework, rendering SVG shapes for data points, axes, and a color-coded legend for species. The code implements a reusable scatterPlot function with scaleLinear scales and axis generators, while also appending custom text labels and legend markers directly to the SVG.

RRobFaj
96% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through different feature combinations on the x-axis every few seconds with animated transitions. The chart uses D3.js (v6) within a React framework, rendering SVG circles colored by species (setosa, versicolor, virginica) with a custom legend and axis labels. The code leverages `scaleLinear`, `axisBottom`, `axisLeft`, and `setInterval` to dynamically update the visualization, pulling data from a CSV via `d3.csv`. A custom reusable scatter plot module manages the chart’s core structure and rendering.

VVineela Reddy
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This example presents an animated scatter plot of the Iris dataset, cycling through four different feature combinations on the x-axis every few seconds. The visualization dynamically updates the axes and labels to reflect the current variable pair, while plotting each flower species with a distinct color. Built with React and D3 v6, it uses `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to construct the plot, with data loaded via `csv` and rendered as SVG circles. Custom styling applies the Share Tech font and includes a legend for species identification.

NNeeharikaGali
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through different feature pairings on the x-axis every few seconds. Points are color-coded by species (setosa, versicolor, and virginica), with a legend and axis labels updating dynamically. Built with D3 v6 and React, the visualization uses `d3.csv` to load data, `scaleLinear` and `axisBottom`/`axisLeft` for scales and axes, and `setInterval` to animate transitions between sepal and petal measurements. SVG circles render the data, while CSS styling applies a custom font.

NNikitha123171
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through different feature pairings on the x-axis every few seconds. Points are color-coded by species (setosa, versicolor, and virginica), with a legend and axis labels updating dynamically. Built with D3 v6 and React, the visualization uses `d3.csv` to load data, `scaleLinear` and `axisBottom`/`axisLeft` for scales and axes, and `setInterval` to animate transitions between sepal and petal measurements. SVG circles render the data, while CSS styling applies a custom font.

NNikitha123171
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through different feature pairings on the x-axis every few seconds. Points are color-coded by species (setosa, versicolor, and virginica), with a legend and axis labels updating dynamically. Built with D3 v6 and React, the visualization uses `d3.csv` to load data, `scaleLinear` and `axisBottom`/`axisLeft` for scales and axes, and `setInterval` to animate transitions between sepal and petal measurements. SVG circles render the data, while CSS styling applies a custom font.

NNikitha123171
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements across four rotating combinations of axes. The chart cycles through different variable pairings every few seconds, with each of the three iris species color-coded by its species name. Built using D3 v6 and React, the visualization employs `scaleLinear` for axis scaling, `axisLeft` and `axisBottom` for tick rendering, and SVG circles for scatter marks. A custom legend and descriptive axis labels are included, while the animation uses `setInterval` to update the chart's x-value mapping.

SSUSHMA CHIRRA
95% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, with each point colored by species (setosa, versicolor, or virginica). The visualization cycles through four different x-axis attributes—petal width, sepal width, petal length, and sepal length—at regular intervals, updating the chart dynamically using `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. A legend and axis labels are rendered as SVG text elements. The animation is driven by `setInterval`, which re-calls the reusable `scatterPlot` function built on D3 v6.

SSUSHMA CHIRRA
95% match