Skip to main content
SimilarExport ZIP
100%

Animated Scatter Plot with Menu

✓ Published1🌍 Public
Ccssergio
Last edited Jun 21, 2022
Created on Jun 18, 2022

This interactive scatter plot displays the Iris dataset, letting users explore relationships between sepal and petal measurements. The visualization uses two dropdown menus to dynamically select which numeric columns appear on the x and y axes. Points are colored by species (setosa, versicolor, virginica) and animate smoothly to their new positions using d3’s `transition` API. The chart is built with SVG, leveraging d3’s `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` for scales and axes. The code implements a reusable `scatterPlot` module and a custom `menu` component using d3’s `dispatch` for event handling.

AI-generated description

A reproduction of a title.

MIT Licensed

Similar vizzes

Loading thumbnail…

animated Scatter Plot with menus

This animated scatter plot displays the Iris dataset, showing how the relationship between sepal and petal measurements changes. Users select which variables to plot on the x- and y-axes via two dropdown menus at the top. Built with D3.js, the visualization uses reusable functions (`scatterPlot` and `menu`) to manage state and rendering. When a new variable is chosen, the circles and axes transition smoothly over one second using `d3.transition`, with data bound via `selection.join` for enter, update, and exit handling. The SVG rendering uses linear scales and axis generators from D3.

AAnshul Rawat
96% match
Loading thumbnail…

Scatter Plot with Menu Animations

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which numeric column appears on the X and Y axes, triggering smooth animated transitions of the data points and axis scales. Built with D3 v6, the visualization uses `scaleLinear`, `transition` for the 1-second animations, and the `selection.join` API to efficiently manage the SVG circles as data mappings change. Each circle animates its position with a slight per-point delay, creating a cascading effect during updates.

DDasbach.EJ
95% match
Loading thumbnail…

Animated Scatterplot with Menus

This interactive scatterplot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses D3 v7 with SVG rendering, featuring dropdown menus to select which columns map to the x and y axes. When users change selections, the scatterplot animates using D3 transitions, with circles smoothly repositioning and axes updating over a one-second duration. The implementation uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and a custom menu component with D3's dispatch system to handle user interactions.

Aajoua
95% match
Loading thumbnail…

Animated Scatter Plot with Menus

This animated scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements through two dropdown menus that dynamically reassign the x and y axes. The visualization uses D3.js version 7 to render SVG circles with smooth transitions, animating point positions and radii when axis selections change. The scatterPlot module implements d3.scaleLinear scales, axisBottom and axisLeft components for axes, and uses transition objects with 1000ms duration for coordinated circle movements and axis updates.

Lliu yang
94% match
Loading thumbnail…

Animated Menus Scatter Plot

This interactive scatter plot visualizes the Iris Dataset, allowing users to dynamically change the x- and y-axis variables via two dropdown menus. The visualization shows the dataset's sepal and petal measurements across all species. Built with D3 v6, the chart uses SVG and animated transitions to reposition circles and axes smoothly when menu selections change. The code implements a reusable `scatterPlot` module with D3 scales, axes, and transitions, while a custom `menu` module handles the dropdown controls using D3's dispatch system.

AAndre J Denais
94% match
Loading thumbnail…

Animated menued plot + categories

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between four quantitative measurements (sepal and petal length/width) and species categories. Two dropdown menus, built with a reusable D3 menu module, control which column is mapped to the x and y axes, with scales switching between linear and point scales depending on data type. Points animate smoothly when axes change using `d3.transition`, while axis labels and circles update accordingly. The visualization is rendered as SVG with D3 v6, using a custom `scatterPlot` function and `d3.csv` for data loading, with all text styled in the Share Tech font.

GGullyPlook
94% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements across species. Two dropdown menus, built with a custom d3 dispatch-based menu component, control which attributes appear on the x and y axes. The visualization uses d3-scaleLinear to map data to screen coordinates and d3-transition to animate circle positions and axes smoothly when selections change. Points grow from zero radius on entry and update with staggered delays, while axes reposition to match the selected dimensions. SVG rendering and d3 selection.join manage the dynamic updates.

DDmytro Holysh
94% match
Loading thumbnail…

AnimatedScatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to switch between measurement axes (sepal/petal length and width) via dropdown menus and toggle the visibility of each species (Setosa, Versicolor, Virginica) with checkboxes. Built with reusable D3.js functions, changes trigger smooth animated transitions of circle positions and axis scales using `transition` with a one-second duration. The code leverages D3’s `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` for rendering, with SVG output and a selection.join pattern for efficient data-driven updates.

Aadventuresenglish.info@gmail.com
94% match