D3 Example

D3 Example

This example visualizes the classic Iris dataset as a scatter plot, encoding sepal length, petal length, and sepal width on the x-, y-, and radius scales, while color encodes species. It demonstrates a “popping effect” by using the CSS `currentColor` keyword so that each circle’s semi-transparent fill and opaque stroke share the same data-driven color, revealing overlaps between marks. Built with D3 v4 and rendered as SVG, the code uses `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.axisBottom`, and `d3.csv` for data loading and scales.

88% match

D3 Example

This scatterplot shows a small set of pink circles positioned within a 250×250 SVG canvas, with a large yellow title in the Jua font above it. The visualization reads data from a remote CSV file hosted on GitHub, parsing each row with `d3.csv` and passing the parsed objects to a custom function named `a_name`. That function uses the D3.js library (version 3.5.5) to bind data to circles, appending new circles, updating their `cx` and `cy` attributes based on the `x` and `y` values from the data, and removing any circles for removed records. The rendering is done via SVG, and the circle fill color and text styling are defined in the page’s CSS.

PPabloDA

87% match

D3 Example

PPabloDA

87% match

D3 Example

This example visualizes the classic Iris dataset as a scatter plot using SVG, with axes and interactive hover effects that highlight individual points. The visualization is built using a reusable reactive architecture called Reactivis, which leverages D3’s data joins and scales to map sepal/petal measurements to x and y positions. It responds fluidly to browser resizing, as the layout dimensions are driven by CSS and propagated through the reactive data flow. The plot is styled with a dotted border, white background, and Poiret One font, and includes axis labels and tick formatting. The code is derived from a screencast tutorial and demonstrates how to structure D3 visualizations for reusability.

D3 Example

This example visualizes the classic Iris dataset as a scatter plot, mapping sepal length, petal length, and sepal width to the x-axis, y-axis, and circle radius, respectively, with species encoded by color. It demonstrates how to dynamically style D3.js axes via JavaScript by selecting SVG elements and applying font, size, and stroke properties. The approach enables axis styling without requiring external CSS, and is built on an earlier D3 tutorial example. The visualization uses D3’s linear scales and SVG rendering to draw the plot, with axes configured to use compact notation and custom tick counts.

D3 Scatter Plot

This example renders the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v7 to load the CSV data via `d3.csv`, and then builds scales with `d3.scaleLinear` and `extent` to compute domains. Circles are drawn as SVG elements, with axes generated through `d3.axisLeft` and `d3.axisBottom`. The visualization adapts to the full browser window and includes a large font size for tick labels via CSS.

SSubhendu Karmakar

D3 Example

This interactive scatter plot visualizes the classic Iris dataset, mapping sepal and petal measurements to positions and size. The visualization is built using D3.js and Model.js to create a reusable, reactive module, with SVG rendering. It responds to window resizing, adjusting its dimensions via CSS while maintaining a dotted border and hover effects on data points. Axis labels and tick formatting are configurable, and the chart is derived from example 106 of the "Introduction to D3.js" screencast series.

D3 Scatter Plot Annotated

This example renders the classic Iris flower dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis using D3 scales and SVG circles. It loads the CSV with `d3.csv`, parses numeric fields, and draws axes with `d3.axisLeft` and `d3.axisBottom`. The visualization fills the browser window, with tick labels styled to a larger font size for readability.