Reusable D3 Scatterplot

Reusable D3 Scatter Plot

This reusable D3 scatter plot animates through different iris flower measurements, cycling the x-axis column every two seconds. Built with a chainable `scatterPlot` function using `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom`, it renders SVG circles and axes from a CSV dataset fetched via `d3.csv`. The code demonstrates dynamic updates by re-invoking the plot with new `xValue` accessors, showing how a component can be reconfigured and reused across data dimensions.

Nnim@brejnholt.dk

Reusable Animated D3 Scatterplot

An animated scatterplot cycles through four Iris flower measurements, updating the x-axis every 3.5 seconds while keeping sepal length on the y-axis. D3 version 7 renders SVG symbols whose size reflects petal width and whose color and shape encode species. The reusable `scatterplot` function uses `scaleLinear`, `scaleSqrt`, `scaleOrdinal`, and `transition` to animate axis changes and point movement, loading data from a CSV via `d3.csv`.

Vvschan2

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot of the Iris dataset, cycling through different flower measurements every two seconds to show the relationship between variables. Built with D3 v6, it uses the reusable chart pattern with a closure-based `scatterPlot()` function exposing getter-setter methods for width, height, data, margins, and scales. The plot renders SVG circles with `d3.scaleLinear` for axes and `axisLeft`/`axisBottom` for ticks, updating via `selection.join()`. Data is loaded from a CSV file using `d3.csv`, while the animation is driven by `setInterval`, calling the plot again with a new x-value mapping.

NNithish Kumar

Animated Reusable D3 Scatterplot with Axis Labels

This example demonstrates a reusable scatterplot that cycles through four Iris flower measurements, updating the x-axis and labels every three seconds. Iris data is loaded from a CSV URL and rendered as SVG circles with smooth transitions. The chart uses D3 v7 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `transition` to animate both circle positions and axis label changes. A custom `scatterPlot` function exposes configurable accessors for dimensions, margins, and axis labels.

Aajoua

Kkhushburajan2015@gmail.com

Fork of Reusable D3 Scatter Plot

This example shows a reusable scatter plot that cycles through four different Iris flower measurements, updating the x-axis every two seconds. It uses the D3 v6 module `scatterPlot`, which builds a scatter plot with `scaleLinear`, `axisLeft`, and `axisBottom`, and renders as SVG circles. The plot reads the Iris dataset from a remote CSV via `csv`, and re-renders continuously by updating the x accessor, demonstrating data-driven animation.

Animated Reusable D3 Scatterplot

This example demonstrates an animated scatterplot of the Iris dataset, cycling through different flower measurements every three seconds. Built as a reusable D3 module, the scatterPlot function uses scaleLinear, extent, axisLeft, and axisBottom to render axes, while selectAll and join manage circle elements with enter, update, and exit selections. Transitions animate circle positions and radii over one second using delay and duration. The chart reads data from a CSV file via d3.csv, with user-defined accessor functions for x and y values.

Aajoua

Fork of Reusable D3 Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, cycling through four flower measurements—petal width, sepal width, petal length, and sepal length—as the x-axis every two seconds while the y-axis remains fixed on sepal length. Built with D3 v6, the code uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `scatterPlot()` to render SVG circles with animated transitions. Data is loaded via `d3.csv` from a GitHub Gist, and the plot updates in place by re-calling the chart function with new `xValue` accessors.

Tttummala17

Fork of Reusable D3 Scatter Plot

Tttummala17