Customising numbers

Untitled

This example shows an interactive scatterplot of the Iris dataset, plotting sepal length against petal length with points colored by species. A horizontal brush (d3.brushX) lets the user select a range along the x-axis; upon release, the chart zooms in by updating the x-scale domain and animating the axis and circle positions over one second using transitions. The data loads from a CSV via d3.csv, and all rendering uses SVG with d3.v4.

Aamnicpo

Untitled

Aamnicpo

interactive scatter plot

This interactive scatter plot displays measurements from the famous Iris dataset, with dropdown menus allowing users to select which four numeric attributes (sepal length, sepal width, petal length, petal width) appear on the x and y axes. Each point represents a flower, color-coded by species. Built with D3 v7 and React, the SVG visualization uses `d3.scaleLinear` for axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `transition().duration(2000)` to animate points smoothly to new positions when selections change.

NNwaegerue Chinemerem

Brushable scatterplot2

This interactive scatterplot matrix displays the iris dataset, showing pairwise relationships between four flower measurements (sepal and petal length and width) alongside histograms on the diagonal. The visualization uses d3.csv to load the data and d3.scaleLinear with d3.axisBottom and d3.axisLeft for axes. Points are colored by species using d3.scaleOrdinal, with colors distinguishing setosa, versicolor, and virginica. The chart is built entirely with SVG, and while brushable functionality is mentioned in the title, the code shown does not implement brushing interactions.

Cchingching17

Reusable Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements for three flower species. Users can switch between different measurement combinations using buttons, with each selection triggering an animated update of the axes and data points. The visualization uses D3.js v6 with SVG rendering, employing d3.scaleLinear for scales, d3.axisBottom and d3.axisLeft for axes, and a custom tooltip that appears on mouseover to show the species and exact values for each point.

GGogineni44

109550048

This interactive scatter plot visualizes the Iris dataset, showing measurements of sepal and petal length and width for three flower species. Users can select any data column for the x-axis and y-axis via dropdown menus, and the plot updates accordingly, with colored circles representing each species. The visualization uses D3 v5, employing `select` and `csv` for data loading and transformation, `scaleLinear` for axes, and `scaleOrdinal` for color mapping. The chart includes labeled axes, axis ticks, and a legend for the three Iris species.

TTrashBoatDora

Scatter Plot using species

This interactive scatter plot explores the Iris dataset, using dropdown menus to dynamically select which flower measurements (sepal length, petal width, etc.) appear on the x- and y-axes, with the option to treat variables as either numeric or categorical. Built with D3.js 6.7.0, it leverages the library’s scaleLinear and scalePoint functions to map data positions, while the selection.join API manages animated transitions for points and axes. The visualization renders as SVG, with each circle’s opacity set low to reveal overlapping species clusters, and includes a menu component that dispatches change events to update the plot in real time.

KKhanin Sisaengsuwanchai

Scatter Plot with Colour

This interactive scatter plot explores the classic Iris flower dataset, letting users compare numeric attributes by choosing which measurements appear on the x- and y-axes via two dropdown menus. Each point represents a flower specimen, colored by species using a d3.scaleOrdinal with a categorical palette, and tooltips reveal exact petal or sepal values. The React-based visualization uses d3.scaleLinear for both axes, renders circles as SVG elements, and reads the CSV data with d3.csv, with brushing and zooming absent from this implementation.

KKevin McMorrow