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@0537-s·3 public vizzes

915

This interactive scatter plot visualizes the Iris flower dataset, showing the relationship between sepal and petal measurements across three species. Users can select different variable combinations for the x and y axes through dropdown menus. The visualization uses D3 v7 with `scaleLinear` and `scaleOrdinal` for positioning and color encoding, while `csvParse` loads and parses the data from a CSV file. Axes are rendered using `axisLeft` and `axisBottom`, with a color legend showing species categories.

Sep 15, 2024

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testing Scatter Plot

This testing Scatter Plot visualizes the Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis, with each data point colored by species using a d3.scaleOrdinal. The plot employs d3.axisLeft and d3.axisBottom for the axes, along with custom axis label utilities from `@curran/axis-labels`. Data is loaded from a CSV file and parsed numerically, with semi-transparent circles rendered via SVG. A gray background rectangle highlights the plot area, and the formatting appears to be a fork of an existing example, displaying 311460003 as visible text.

Sep 15, 2024

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Fork of Scatter Plot with Color

This scatter plot visualizes the Palmer Penguins dataset, showing bill length against flipper length, with each point colored by species. The code uses D3’s `scaleLinear` to map data values to pixel positions, `scaleOrdinal` with `schemeCategory10` for color encoding, and relies on the ‘@curran/axis-labels’ library for axis labeling. Circles are rendered with configurable radius and opacity, set via the visualization’s parameters. The approach is a fork of a base template, demonstrating a reusable chart configuration with data-driven attributes from the provided CSV source.

Sep 15, 2024