Scatter Plot New

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 for Iris dataset

This scatter plot displays the relationship between petal length and sepal length for the Iris dataset. The visualization uses D3 v6 to load CSV data, map values to screen coordinates with linear scales, and render circles as data points via SVG. D3’s `select`, `append`, and `.join()` methods construct the chart, while the `axisLeft` and `axisBottom` functions generate labeled axes. A rotated text element provides the y-axis label, and the plot fills the browser window dynamically based on `window.innerWidth` and `window.innerHeight`.

LLG0498

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

Aadventuresenglish.info@gmail.com

Scatter Plot with D3

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis for individual flowers. The visualization uses D3.js to load CSV data via `d3.csv`, create linear scales with `scaleLinear`, and render SVG circles as data points. Axes are generated using `axisBottom` and `axisLeft` and positioned within a margin-based layout. The chart fills the browser window through dynamically computed width and height, with the rendered SVG scaling to the viewport.

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is rendered as a circle using SVG within a React framework. The code utilizes `d3.csv` to load and parse the data, `d3.scaleLinear` for axis scaling, and `d3.extent` to determine data domains. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while the chart dynamically fills the browser window's dimensions.

EEzhil-Kalai

scatter plot

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for scaling, and d3.axisLeft and d3.axisBottom for tick marks. The SVG circles are rendered pink, matching the chart’s background, with margins sized proportionally to the viewport. The code reads window dimensions and appends the chart directly to the body.

Jjmetzg11alpine

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. Built with React and D3 v5, it uses `scaleLinear` to create axes and renders circles as SVG marks. The `axisBottom` component formats tick labels with D3's `format` function, while tooltips display values via SVG `<title>` elements. The data loads asynchronously from a CSV using D3's `csv` parser.

Llefat92

scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. Each flower is rendered as a circle using D3 v7’s `select`, `scaleLinear`, `csv`, and `extent` functions, with axes drawn via `axisLeft` and `axisBottom`. The SVG output fills the browser window, with data loaded from a remote CSV file and parsed into numeric fields before plotting.

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