0 — VizHub

Iris

This interactive scatterplot visualizes the classic Iris dataset, allowing users to compare any two measured features (sepal/petal length and width) via dropdown menus. D3 v7 axes and scales update with animated transitions when a new axis is chosen. Circles are color-coded by iris species, with a legend showing the three classes. The data is loaded from a CSV using `d3.csv`, and the visualization leverages `scaleLinear`, `axisBottom`, `axisLeft`, and `transition` for smooth updates.

ZZeroKurosakii

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An interactive scatter plot of the Iris dataset lets users compare any two measured attributes—sepal and petal length and width—via dropdown menus. Points are colored by species with a legend for classification. The visualization uses D3 v7 to load the CSV data, render SVG circles and axes with d3.scaleLinear and d3.axisBottom/Left, and updates the chart on selection change.

Eeyxxr1260@gmail.com

Iris Scatter Plot

The visualization shows an interactive scatter plot of the Iris dataset, where users can select which measurements appear on the x- and y-axes via dropdown menus. Points are colored by species (setosa, versicolor, virginica) and animate smoothly to their new positions when the axes change. The chart uses D3 v5’s scaleLinear, axisBottom, and axisLeft to render the plot, with transitions applied to the circle elements for smooth updates.

MMing Chang

Scatter Plot

An interactive scatter plot of the Iris dataset lets users explore relationships between different measurements. Two dropdown menus dynamically change which numerical columns are plotted on the X and Y axes. The visualization is built with D3.js, using scales for axes and ordinal color mapping for the categorical species. Circles animate into position with a staggered delay, and axes and labels update based on the selected data columns.

Ddaniel

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, plotting measurements like sepal and petal length against each other. Users select which features to compare via two dropdown menus, which triggers animated transitions as the circles move to their new positions. The visualization uses d3.csv to load data, d3.scaleLinear and d3.axisBottom/axisLeft to construct axes, and d3.transition for the 1-second animations, rendering points as SVG circles color-coded by iris species.

Xx112358

Iris analysis

This interactive scatter plot explores the Iris dataset, letting users compare measurements by selecting different features for the x- and y-axes via drop-down menus. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, `axisLeft`, and `scaleOrdinal` to render SVG circles colored by iris species, with a custom legend. A reusable `dropDownMenu` function updates the chart on selection changes, redrawing axes and points with `transition`-free updates.

Wwinniepooh520

Iris analysis

Wwinniepooh520

Iris Scatter Plot

This interactive scatter plot displays the Iris dataset, revealing the distribution of flower measurements across three species. Users select which measurement appears on each axis via two dropdown menus, instantly re-rendering the plot. The visualization distinguishes species by color and includes a legend. Built with D3 v5, the code uses `select`, `csv`, `scaleLinear`, `scaleOrdinal`, `axisBottom`, `axisLeft`, and `extent` to create the SVG chart, with a custom `dropDownMenu` component for the interactive controls.

Ttoeric