Reusable_D3_Scatter_Plot.

100%

Reusable_D3_Scatter_Plot.

✓ Published0🌍 Public

Last edited Mar 28, 2023

Created on Mar 28, 2023

This example presents the classic Iris dataset as an interactive scatter plot, cycling through different attribute pairings on the x-axis (petal width, sepal width, petal length, and sepal length) at regular intervals, while the y-axis remains fixed on sepal length. The visualization uses D3 v6 with a custom reusable `scatterPlot` component built around `scaleLinear`, `axisLeft`, and `axisBottom`, rendering SVG circles with animated transitions via `setInterval`. Data is loaded asynchronously from a GitHub-hosted CSV file using `d3.csv`, with points colored green, blue, or red to distinguish the three iris species; a legend and axis labels accompany the animated plot.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This example presents an interactive scatter plot of the Iris dataset, cycling through different x-axis variables (petal width, sepal width, petal length, sepal length) at intervals to explore relationships with sepal length on the y-axis. The visualization uses D3.js v6 within a React environment, rendering with SVG and animation. The reusable `scatterPlot` function leverages D3 scales, axes, and data joins, while the main script loads CSV data, maps species to colors (red, violet, orange), and includes a custom legend with labels and points.

DDaniel R Handoko

96% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This example shows an animated scatter plot of the Iris dataset, cycling through different x-axis variables (petal width, sepal width, petal length, sepal length) while keeping sepal length on the y-axis. The visualization uses D3 v6's `scaleLinear`, `axisLeft`, and `axisBottom` APIs to render SVG circles colored by species, with a custom legend and axis labels. Data is loaded via D3's `csv` function from a GitHub gist, and a `setInterval` timer triggers updates to the plot's x-value mapping.

LLakshmipriya-kalapala

95% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through different feature pairs (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Circles are color-coded by species (red for setosa, violet for versicolor, orange for virginica) with a static legend. Built with React and D3 v6, it uses `d3.csv` for data loading, `scaleLinear` for scales, and `axisLeft`/`axisBottom` for axes. The plot updates every few seconds via `setInterval`, re-rendering the SVG with animated transitions between variable combinations.

Aachyutanandmishra17@gmail.com

95% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This interactive scatter plot explores the Iris dataset, cycling through different feature combinations on the x-axis—petal width, sepal width, petal length, and sepal length—against sepal length on the y-axis. Each species (setosa, versicolor, virginica) is color-coded with blue, red, and green points, while a legend identifies the colors. Built with React and D3 v6, it uses `scatterPlot()`, `scaleLinear`, `axisLeft`, and `axisBottom` to render axes and animated transitions via `setInterval`, displaying the data as SVG circles.

RRohith Reddy

95% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This example shows an animated scatter plot of the Iris dataset, cycling through different combinations of sepal and petal measurements on the x-axis while keeping petal width on the y-axis. Data points are colored by species, with a legend and axis labels updating dynamically. Built with React and D3 v6, it uses the `scatterPlot` reusable chart function, `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the x-value mapping. The SVG rendering includes animated transitions and custom styling via CSS.

SSUSHMA CHIRRA

95% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through four feature pairs on the x-axis while keeping sepal length on the y-axis. The visualization uses D3.js with React to render animated SVG circles, colored by species, and includes a legend and axis labels. The code leverages D3 utilities like `scaleLinear`, `axisLeft`, and `axisBottom`, with a custom reusable `scatterPlot` component and `setInterval` to rotate the plotted columns.

Ggayathrikavya

94% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This example demonstrates an animated scatter plot of the Iris dataset, cycling through different feature pairs on the x-axis while keeping sepal length on the y-axis. Points are colored by species using hard-coded color mapping. The visualization uses D3.js (v6) with a reusable `scatterPlot` module that handles scales, axes, and circle rendering via SVG. A `setInterval` triggers updates to the x-value accessor, and the plot re-renders with new axes and titles, including a legend and axis labels.

Yyamunaunt

94% match

Loading thumbnail…

Reusable_D3_Scatter_Plot

This example presents a reusable scatter plot of the classic Iris Dataset, with points colored by species and axes labeled by petal and sepal measurements. The visualization cycles through different measurement combinations every two seconds, updating the x-axis mapping via a `setInterval` animation while the y-axis remains fixed. Built with D3 v6, the code uses `d3.csv` for data loading, `d3.scaleLinear` and `d3.scaleOrdinal` for scales, and `d3.axisLeft`/`d3.axisBottom` for axes. A custom `scatterPlot` module encapsulates the chart, which is rendered as SVG circles with a legend.

SShivaKarpe

94% match