Skip to main content
SimilarExport ZIP
100%

Fork of Animated Scatter Plot with Menus

✓ Published0🌍 Public
AAlex
Last edited Apr 10, 2023
Created on Apr 9, 2023

This fork of the animated scatter plot uses dropdown menus to let users choose which Iris dataset columns map to the x and y axes. The chart displays points with a grow-in animation on entry and repositions them with a staggered transition when the axis selection changes. Axes update smoothly using D3 transitions. Data is loaded from a GitHub Gist as CSV, and the visualization is built with D3 v6 using reusable chart and menu components.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts and Observable: selection.join.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This example presents an animated scatter plot of the Iris dataset, with dropdown menus that update the x- and y-axis mappings to any of the dataset’s numeric or categorical attributes. The chart is built using D3 v6 with SVG, and relies on reusable components for the plot and menu. Selection joins with transitions (e.g., `transition.attr`) move points smoothly between positions, while axes also transition to new scales when data attributes change.

FFelipe Maion
95% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, with dropdown menus that allow users to change which measurements are mapped to the x- and y-axes. The chart uses D3 v6 with SVG rendering and smooth 1-second transitions between states, animating circle positions and axis scales via `selection.join` and the `transition` API. The reusable chart pattern structures the code into modular functions for the scatter plot and menu, with the menu dispatching change events to update the plot's value accessors. Data loads from a CSV file hosted on GitHub.

Zzhuomo-maker
94% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris dataset, allowing users to choose which flower measurements to display on the X and Y axes via dropdown menus. The visualization uses D3 v6 with reusable chart and menu modules, applying `scaleLinear` for axes and transitioning circle positions with `transition().duration(1000)`. Points grow from zero radius on initial render, and updates are staggered with a delay. The data is loaded from a CSV file and rendered as SVG, with the menus built from a reusable `dispatch`-based component.

Oowenking2710@gmail.com
93% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This example visualizes the Iris dataset as an animated scatter plot with interactive dropdown menus for selecting the X and Y dimensions. The code uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisBottom and d3.axisLeft for axes. Circles animate transitions when dimensions change, with d3.transition and selection.join handling enter, update, and exit states. Hovering triggers tooltips and enlarges points via d3.select and transition.

KKaustav Sen
92% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting viewers choose which flower measurements to display on the X and Y axes via dropdown menus. The chart renders as SVG circles with smooth 1000-millisecond transitions, using D3 v6’s `selection.join` to handle enter, update, and exit states. Axes update automatically with `axisLeft` and `axisBottom`, while menus built with a reusable `menu` factory dispatch change events to re-assign the xValue and yValue accessors. Data loads from a GitHub-hosted CSV file, parsed with numeric coercion for the four measurement columns.

Ppreethamkesa
92% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This interactive scatter plot uses D3 v6 to visualize the Iris Dataset, shifting points between axes selected from dropdown menus. Built with a reusable `scatterPlot` component, it employs `scaleLinear`, `axisLeft`, `axisBottom`, and `transition` with a 1000-millisecond duration, plus a 10-millisecond stagger delay, to animate both circle positions and axis updates. Selections trigger D3's `dispatch` events, while `join` handles entering, updating, and exiting SVG `circle` elements.

TThaverman
92% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus

This example visualizes the Iris dataset as an animated scatter plot, with dropdown menus to switch which numeric columns are mapped to the X and Y axes. It uses D3 v6 features such as `selection.join`, `scaleLinear`, `axisLeft`, `axisBottom`, and `transition` with a one-second duration to smoothly move circles and axes when selections change. New points grow from radius zero via a transition, while updating points reposition with a staggered delay. The SVG rendering fills the window, and menus are built with a reusable `menu` module dispatching change events.

Pphilippun
92% match
Loading thumbnail…

Fork of Animated Scatter Plot with Menus_testing_dispatch

This interactive scatter plot visualizes the Iris dataset, allowing users to switch the x- and y-axis columns and scale types (linear, band, square, or power) via dropdown menus. The D3 v6 chart animates circle positions with `transition()` as axes update, and clicking an axis label toggles its color between blue and black. The scatterPlot module uses D3 scales like `scaleLinear` and `scaleBand` with SVG rendering.

PPeiyang Li
91% match