D3 Scatter plot

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D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis for each flower sample. The visualization uses D3 v7's `csv` loader to fetch and parse the remote dataset, then applies `scaleLinear` and `extent` to compute the axis domains from the numeric columns. SVG circles are drawn using a data join, with axes generated via `axisLeft` and `axisBottom`. The chart is rendered in vanilla HTML and JavaScript, filling the browser viewport dynamically.

D3 Scatter Plot

This example visualizes the classic Iris dataset as a D3.js scatter plot, mapping sepal length on the y-axis and petal length on the x-axis. The chart renders as an SVG with circles positioned via linear scales, while axes are drawn using `d3.axisLeft` and `d3.axisBottom`. The code fetches CSV data asynchronously, parses numeric columns, and dynamically resizes the plot to the full window. It customizes tick label styling through CSS and uses a React starter environment.

TTheo-0201

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for each flower specimen. The visualization uses D3 v7 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates to SVG circle positions with a fixed radius of 5 pixels. Circles are rendered via SVG `<circle>` elements appended through D3's selection and join operations, with axes positioned using margin-based transforms. The chart fills the browser window, with data loaded asynchronously from a remote CSV file using `d3.csv`.

Aalexscott-untitled

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis using circular marks. The code loads CSV data via `d3.csv`, scales it with `scaleLinear` and `extent`, and renders the points as SVG circles. Axes are generated with `axisLeft` and `axisBottom`, with the visualization sized to the full browser window. The example uses D3 v7 within a minimal HTML page, styling tick text via CSS.

KKhanin Sisaengsuwanchai

D3 Scatter Plot

This scatter plot visualizes the classic Iris dataset by mapping petal length to the x-axis and sepal length to the y-axis, using D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions. Circles are rendered as SVG elements with a fixed radius of 5 pixels, positioned via `cx` and `cy` attributes. The chart fills the browser window by setting width and height to `window.innerWidth` and `window.innerHeight`, with margins applied to the scales. The code fetches the data as CSV from a GitHub gist, parses numeric fields, and applies a data join with `selectAll` and `.join`.

JJetlinZ

D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. The visualization uses D3 v7’s `select`, `csv`, `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` APIs to load the data, compute scales, and render SVG circles and axes. The plot fills the browser window, with bold tick labels, and the code demonstrates a straightforward data-ink pipeline from CSV parsing to interactive-free SVG rendering.

WWaseem Medhat

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 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, mapping petal length and sepal length on the x- and y-axes. The SVG visualization uses the modular d3.scaleLinear extent and axis functions to compute scales and draw ticks. Iris data is loaded asynchronously via `d3.csv`, with numeric parsing and a color scheme imported from `d3-scale-chromatic` for interpolation. The plot fills the browser window, using a data join to create circles for each Iris sample.

KKhanAzmat