Animated Reusable D3 Scatterplot with Symbols and Menu

Cat Quant Animated Reusable D3 Scatterplot with Symbols and Menu

This interactive scatterplot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements while distinguishing species by color and symbol. Built with D3 v7 in React, it uses `scaleLinear` and `scalePoint` for quantitative and categorical axes, with `scaleOrdinal` mapping species to colors and symbol types. Dropdown menus, powered by a reusable `menu` component with `dispatch`, dynamically update the x and y axes. Circles animate position changes via `transition().duration(1000)`, and axis labels update accordingly, all rendered as SVG.

94% match

Animated D3 Scatter Plot with Menus

This interactive scatter plot visualizes the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting different attributes for the x and y axes via two HTML dropdown menus. Built with React and D3.js, the visualization uses SVG elements and D3’s `transition` API to animate the movement of data points smoothly between states. The plot dynamically updates its axis labels and scales, with each of the 150 flowers represented as a circle, providing a flexible tool for comparing the dataset’s four numerical dimensions.

Ppawelsapiecha

93% match

Animated D3 Scatterplot with Symbols

This example displays the Iris dataset as an animated scatterplot where each flower is represented by a distinct symbol (circle, diamond, or triangle) based on species, colored with a viridis-inspired scale. Every two seconds, the x-axis shifts to a different measurement column among petal width, sepal width, petal length, and sepal length, causing points to smoothly transition to new positions. Built with React and D3 v7, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for colors and symbols, and `d3.symbol` for mark shapes. The animation relies on `transition().duration(2000)` to update SVG `path` elements smoothly.

Animated Reusable Scatter Plot with menu

This example demonstrates an animated scatter plot of the Iris dataset, using D3 v6 with React. The plot cycles through different x-axis variables (petal length, petal width, sepal length, sepal width) every two seconds, with circles transitioning smoothly via `selection.join` and `transition`. Species are encoded by distinct symbols from `d3.symbols` and `scaleOrdinal`. The reusable chart function exposes setters like `.xValue()` and `.yValue()` to update the visualization, while axes are redrawn using `axisLeft` and `axisBottom`.

SShannon Teoh

Reusable D3 Scatter Plot (animated, menu)

This interactive scatter plot visualizes the Iris dataset, letting users dynamically select which flower measurements appear on the X and Y axes through two dropdown menus. Built with React and D3 v7, the visualization uses reusable chart components and SVG rendering to display data points as animated circles that smoothly transition between positions when axis selections change. The scatter plot employs d3.scaleLinear for coordinate mapping, d3.axisLeft and d3.axisBottom for scales, and d3.transition with a 1000ms duration to animate circle movements, while d3.csv loads the dataset from a remote URL.

PPeiyang Li

Animated Scatter Plot with Menus

This interactive scatter plot, built with React and D3, visualizes the Iris dataset, allowing users to dynamically select which sepal and petal measurements to display on the x- and y-axes through dropdown menus. The visualization employs animated transitions, using D3's `transition` API to smoothly move the circles between positions as the axes change. The plot is rendered as an SVG, with axes drawn using D3's `axisLeft` and `axisBottom` functions, and the dropdown menus are created using a custom D3 module. The data is loaded from a CSV file using D3's `csv` function.

Rroyable88

Reusable Animated D3 Scatterplot with Symbols

This animated scatterplot cycles through the Iris dataset’s four numeric attributes, using D3’s `scaleLinear`, `scaleOrdinal`, `axisBottom`, and `axisLeft` to map petal and sepal measurements. A `transition` with a one-second delay animates point positions and axis updates every three seconds. The chart colors points by species using a viridis palette and applies `symbols` and `symbol` scales, though only circles render. The x-axis label updates dynamically, while the SVG canvas fills the viewport.

Reusable D3 Scatterplot with Symbols

This example presents a reusable D3 scatterplot that visualizes the Iris dataset, mapping petal length against sepal length. It employs SVG rendering within a React framework, using d3.csv to load data and d3.scaleLinear for axes. Distinct species are encoded using d3.scaleOrdinal for colors and d3.symbols for varied point shapes, with d3.axisLeft and d3.axisBottom providing labeled axes. The chart is configured fluently via a custom scatterPlot function, demonstrating a modular approach to building interactive visualizations.