Skip to main content
SimilarExport ZIP
100%

Fork of Before refactoring Animating Scatter Plot

✓ Published0🌍 Public
GGayan Priyadarshana
Last edited Aug 25, 2023
Created on Aug 25, 2023

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between petal and sepal measurements. The D3.js visualization renders 150 circles as SVG elements, with smooth 1000ms transitions animating position changes when axes are switched. Dynamic dropdown menus allow selection of different variables for the X and Y axes, while axes and labels update accordingly. The code uses d3.scaleLinear for scales, d3.axisLeft and d3.axisBottom for axes, and D3’s data join pattern with enter, update, and exit selections to manage circle animations.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Before refactoring Animating Scatter Plot

An animated scatter plot visualizes the Iris dataset, cycling through different x-axis variables (petal width, sepal width, petal length, sepal length) every two seconds. The visualization uses D3 v7 with SVG rendering, employing `scaleLinear` for axes, `transition` for smooth circle movement and entrance animations, and a reusable scatter plot module. Data is loaded via `csv` from a GitHub gist, with numeric parsing applied to each row. The chart updates axes and labels dynamically as the x-value changes.

GGayan Priyadarshana
91% match
Loading thumbnail…

Fork of reusable D3 Scatter Plot (animated)

This animated scatter plot visualizes the Iris dataset, cycling through four measured attributes (petal and sepal length and width) as the x-axis variable every six seconds. The D3.js implementation uses a reusable scatter plot module with smooth transitions between states, animating circle positions and axis updates. It leverages scaleLinear, extent, axisLeft, axisBottom, and transition APIs from D3 v7. The visualization renders as an SVG in a React environment, loading CSV data asynchronously and mapping each flower variety as a point.

PPeiyang Li
90% match
Loading thumbnail…

Fork of Fork of reusable D3 Scatter Plot (animated 2)

This animated scatter plot displays the Iris flower dataset, cycling through four measured attributes (petal width, sepal width, petal length, and sepal length) on the x-axis every six seconds. Built with React and D3 v7, it uses a reusable `scatterPlot` module with `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Circles transition smoothly via `transition().duration(1000)` with staggered delays, while axes animate concurrently. Data loads from a CSV via `d3.csv` and renders as SVG with D3’s data join and enter/update/exit pattern.

PPeiyang Li
89% match
Loading thumbnail…

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three iris species. The visualization uses dropdown menus to dynamically switch which attribute is mapped to the x-axis and y-axis, with axes and labels updating accordingly. Built with D3 v5 and React, the example uses `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to render SVG circles colored by species, with gridlines and axis labels providing clear context for the selected variables.

JJyothicherukuri
89% match
Loading thumbnail…

Fork of Animating Scatter Plot with menus

This interactive scatter plot displays the classic Iris dataset, allowing the user to switch which of the four flower measurements (sepal and petal length and width) are mapped to the X and Y axes via dropdown menus. Built with D3 v7, it uses `scaleLinear` for axes, `transition` for animated point movement, and `axisLeft`/`axisBottom` for tick marks. A custom `menu` module manages the dropdowns, using `dispatch` to trigger updates that re-draw the SVG circles with a staggered delay.

GGayan Priyadarshana
89% match
Loading thumbnail…

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, exploring relationships between sepal and petal measurements across three species. The visualization animates by cycling through different feature combinations on the x-axis, with each species represented by a distinct color. Built with React and D3.js, it uses CSV data loading, linear scaling, and SVG rendering. The code demonstrates reusable chart components, with axes and circles updated dynamically via D3’s join operation and `setInterval` for the animation loop.

Aadapavaishnavi12
89% match
Loading thumbnail…

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal dimensions by selecting different attributes for the x- and y-axes via dropdown menus. The visualization uses d3.scaleLinear for axis scaling, d3.select for DOM manipulation, and d3.axisBottom and d3.axisLeft for rendering axes with gridlines. Data points are rendered as SVG circles, colored by species class (setosa, versicolor, virginica) with opacity for overlap handling. The React framework manages the dropdown state, while D3 handles the chart rendering.

Rrohinikotha
88% match
Loading thumbnail…

Fork of Fork of Reusable_D3_Scatter_Plot.

This interactive visualization displays the Iris dataset, animating through different measurement combinations on the x-axis while keeping sepal length on the y-axis. The scatter plot is built using React and d3.scaleLinear, with colored circles representing three Iris species. A legend identifies red, blue, and yellow markers for each type. The animation cycles through petal width, sepal width, and petal length using setInterval, updating the x-axis label and repositioning points. The code uses d3.csv for data loading and d3.axisBottom for axis rendering.

Cchandanagandla
88% match