Scatter Plot using species

Scatter Plot Including Species

This interactive scatter plot explores the Iris dataset, displaying measurements of sepal and petal dimensions for three flower species. Interactive dropdown menus dynamically select which quantitative or categorical attributes appear on each axis, with animated transitions smoothly repositioning circles. The visualization uses D3 v6’s selection.join and transition methods, along with scaleLinear and scalePoint for axes, while rendering as an SVG with a Share Tech font.

Ttrissentety

Scatter Plot with Species

This interactive scatter plot displays the Iris dataset, allowing users to compare measurements of sepal and petal dimensions across flower species. The visualization features dropdown menus for selecting which quantitative attributes to plot on the x and y axes. Built with D3 v6, it uses reusable chart functions and the selection.join pattern to smoothly transition circles between configurations, with axes animating alongside. The scatter plot supports both linear and point scales, adapting to categorical or quantitative data types.

GGabriel Dantas

Scatter Plot Including Species

This interactive scatter plot displays the Iris flower dataset, mapping sepal and petal measurements against each other with species indicated by color. Users select variables for the x and y axes from dropdown menus built with d3.dispatch. The visualization uses d3.csv for data loading, scaleLinear and scalePoint for positioning, scaleOrdinal for symbol types, and transitions with transition.attrTween for animated circle updates.

Ccssergio

Scatter Plot including Species

This interactive scatter plot visualizes the Iris Dataset, allowing users to dynamically explore relationships between sepal and petal measurements across species. The visualization uses D3.js v6 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and `transition` to animate point movements and axis updates over 1-second durations. Two drop-down menus, built with a custom reusable `menu` component that utilizes `dispatch` for change events, let viewers select which quantitative variables to plot on the x and y axes. The SVG rendering uses the `join` pattern to smoothly transition existing circles to new positions while animating new points growing from radius zero.

Mmaxthamt

Scatter Plot with Species

This scatter plot visualizes the Iris Dataset, allowing interactive exploration of relationships between sepal and petal measurements. Users select quantitative or categorical variables for the X and Y axes via dropdown menus. The visualization uses D3 v6 with `scaleLinear` and `scalePoint` for axes, and `selection.join` with transitions to animate point movement and axis updates. Points grow from radius zero on initial render, and staggered delays create a cascading effect when data changes.

MMichael Bergerson

Scatter Plot Including Species

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between quantitative measurements and species categories. Two dropdown menus dynamically change which columns are mapped to the x and y axes, with categorical values rendered as evenly spaced points and quantitative values using linear scales. The visualization is built as a reusable D3 component, utilizing `selection.on()` and `selection.dispatch()` for menu event handling, with `transition()` calls for smooth animation when updating circle positions, axes, and radius growth.

GGautier DAVID

Scatterplot Including Species

This interactive scatterplot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements across species. Users switch quantitative and categorical axes via dropdown menus, triggering smooth transitions as points and axes update. Built with D3 v7, the visualization uses d3.scaleLinear, d3.scalePoint, and transition to animate circle positions, with menus implemented through a custom dispatch-based module. The SVG renders animated circles that grow on entry and re-position with staggered delays when axes change.

Aajoua

Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, showing measurements like sepal length and petal width while color-coding points by species. Users can select which attribute maps to the X and Y axes using dropdown menus. The visualization uses D3 v5 with SVG rendering and animated transitions, employing `scaleLinear`, `axisBottom`, `axisLeft`, and `transition().duration()` to smoothly reposition circles when axes change.

Mminson