Reusable scatter plot

Reusable Scatter Plot

A reusable scatter plot displays the Iris dataset, cycling through different x-axis attributes every two seconds to reveal patterns across petal and sepal measurements. Circles are colored by species (setosa, versicolor, virginica) and sized according to sepal dimensions. Built with d3.js v6, it demonstrates a modular `scatterPlot` function using `scaleLinear`, `axisLeft`, `axisBottom`, and SVG circle elements, with data fetched from a GitHub Gist. The animation uses `setInterval` to update the plot, while axes and marks redraw dynamically.

Nnikhilagopi

Reusable_D3_Scatter_Plot

A reusable D3 scatter plot animates through the Iris dataset, cycling the x-axis between petal width, sepal width, petal length, and sepal length every two seconds while the y-axis remains fixed on sepal length. Built with d3.scaleLinear, axisLeft, and axisBottom, the chart uses SVG circles and a setInterval-driven re-render to update axes and marks. The data loads via d3.csv from a GitHub Gist.

SShivaKarpe

Reusable D3 Scatter Plot

This dynamic scatter plot animates through the Iris dataset, cycling four flower measurements along the x-axis while displaying petal width on the y-axis. Using a reusable D3 module pattern, the visualization updates every second via `setInterval`, with `scaleLinear` and `extent` computing axes, `scaleOrdinal` assigning species colors, and SVG circles redrawn through join operations. Data loads from a GitHub Gist, with axes rendered via `axisLeft` and `axisBottom`. A custom legend indicates species through colored rectangles.

Rreddyakshitha

Reusable D3 Scatter Plot Following Along

This example demonstrates a reusable scatter plot that animates through different Iris flower measurements, cycling between petal width, sepal width, petal length, and sepal length every two seconds. The visualization uses D3's `scaleLinear`, `axisLeft`, `axisBottom`, and data join methods to render SVG circles and axes, with the `scatterPlot` function implementing a reusable chart pattern. The plot updates smoothly as new x-value accessors are assigned, showing how the same underlying data can reveal different patterns depending on which variables are compared. It loads the Iris dataset from a CSV file and renders it at full window size.

PParker-D5

Reusable Scatter Plot

This animated scatter plot cycles through the numeric attributes of the Iris dataset, sequentially updating the x-axis to display sepal length, sepal width, petal length, and petal width while keeping petal width on the y-axis. The visualization uses D3's `scaleLinear`, `axisBottom`, and `axisLeft` to render axes, with `transition` controlling the smooth repositioning of circles and axis titles every three seconds. The reusable chart component, built with a custom `scatterPlot` factory, supports setters for data, dimensions, and accessors. Data loads via D3's `csv` from a GitHub Gist, with SVG circles animated through enter, update, and exit joins.

UUmarani Vemula

Fork of Reusable D3 Scatter Plot

Animated scatter plot of the Iris dataset built with D3.js, showing petal measurements on the axes. The visualization cycles through four different column combinations (petal width, sepal width, petal length, sepal length) every two seconds, updating the x and y axes via a reusable `scatterPlot()` component. Circles are colored by species using `d3.scaleOrdinal`, with SVG rendering, axes from `axisLeft` and `axisBottom`, and a legend appended. Data loads from a CSV URL, and the plot uses `selectAll`, `join`, and `setInterval` to animate transitions.

AArefa Patwary

Ggaddamthanmayeereddy759@gmail.com

Fork of Fork of Reusable D3 Scatter Plot

This interactive scatter plot animates the Iris dataset by cycling the x-axis through petal width, sepal width, petal length, and sepal length every 1.5 seconds while keeping sepal length on the y-axis. It uses d3.csv to load data and d3.scaleOrdinal with a viridis palette to color points by species. The reusable d3.scatterPlot module leverages scaleLinear, axisLeft, and axisBottom for scales and axes, with SVG circles rendered and updated via selection calls. Legends and axis labels are appended manually, and the animation uses setInterval to reassign the xValue and refresh the plot.

Reusable _scatter_Plot

This interactive scatter plot visualizes the Iris dataset, displaying petal and sepal dimensions as colored circles with a legend and axes. It uses d3.csv to load data and d3.scaleLinear, d3.axisLeft, d3.axisBottom, and d3.scaleOrdinal to map values. An animation cycles through different x-axis attributes every two seconds. The reusable scatterPlot function configures margins, radius, and dimensions, rendering with SVG in the browser.

Ssrivalliwuyyuru