Scatter plot

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 within a React-free HTML page, leveraging `d3.csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for ticks. Circles are rendered via SVG with a fixed radius, and the code also destructures sepal dimensions but only uses them as unused attributes on each circle, not for positioning. The visualization fills the browser window with a large bottom margin.

RRohith arabati

Scatter Plot

This example visualizes the Iris dataset as a scatter plot, mapping petal length and width to the x and y axes while coloring each circle by species (setosa, versicolor, or virginica). It uses D3 v6 with scales (d3.scaleLinear), axes (d3.axisBottom, d3.axisLeft), and data loading via d3.csv. The React and SVG rendering are not explicitly used; instead, the code appends circles directly to an SVG element in the DOM. The dataset is fetched from a GitHub gist and parsed to numeric values before plotting.

Aamiralitah

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v7 with the `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `csv` APIs to load and render the data as SVG circles. Axis labels indicate "Petal Length" and "Sepal Length," though the latter appears mislabeled relative to the plotted variables. The chart fills the browser window with margins and styled tick text.

Ffloraho401

scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species: red for setosa, green for versicolor, and purple for virginica. The code loads CSV data via D3’s `csv` function, parses numeric columns, and builds scales with `scaleLinear` and `extent`. Circles are rendered as SVG elements with fixed radius, while axes are generated using `axisLeft` and `axisBottom`. The visualization also encodes sepal measurements as `rx` and `ry` attributes, though these do not affect circle appearance given the constant radius. The chart fills the browser window with a pale turquoise title.

Vvagdevi-369

Scatter Plot

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with points colored by species (setosa, versicolor, and virginica). The plot displays 150 data points from the CSV source, loaded via `d3.csv`. The code uses D3 v6 APIs such as `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the SVG visualization. Axis labels indicate the measured attributes, while point positions are derived from parsed numeric fields for petal and sepal dimensions.

Tteohangxanh

A Scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each point represents an individual flower, with a tooltip displaying the exact petal length value. The visualization uses React to render SVG elements, with d3.scaleLinear for both axes and d3.extent to set the domains. Axes are generated with custom tick components, and the chart includes labeled axis titles with rotated y-axis text. The data is loaded asynchronously from a CSV file using d3.csv.

JJonas Carvalho

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis for each flower specimen. Rendered as SVG circles with fixed radius, the chart uses D3’s `scaleLinear` functions for both axes, with axis ticks generated by custom React components. The code leverages React hooks (`useState`, `useEffect`, `useCallback`) to asynchronously load the CSV data via D3’s `csv` method, parsing numeric fields before display. Axis labels and tick formatting are applied through D3’s `format` utility, with tooltips provided by SVG `<title>` elements.

NNikithakatta30

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying petal length against sepal length for individual flowers. The visualization uses React with D3 scales (`scaleLinear`, `extent`) to map data values to SVG coordinates, with custom axis components generating tick marks and labels. The D3 CSV loader fetches the data from a remote gist, while circles with 0.6 opacity represent each observation. The chart includes labeled axes and applies `nice()` to domain padding for cleaner tick intervals.

AAnkit5ingh