Scatter Plot

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width in the Iris dataset, with each flower represented as a teal circle. The chart loads data from a CSV file using `d3.csv` and renders SVG circles via React components. Axes are built with `d3.scaleLinear` and custom tick components, while hover tooltips use the SVG `<title>` element to show formatted values.

Ppsabela

Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width for individual iris flowers. The data is loaded from a CSV file using d3.csv and rendered as SVG circles with React components. Axes are generated via custom AxisBottom and AxisLeft components using d3.scaleLinear for positioning, with d3.format applied to tick labels for compact number display. The visualization uses React state via useEffect to manage asynchronous data loading, and includes native SVG title elements for tooltips.

Nnkarinti

Ddanielscheeper@gmail.com

Scatter plot

This scatter plot shows the relationship between sepal length and sepal width for Iris flowers, with each circle representing a sample and a tooltip revealing its exact measurement. The visualization uses React components to render SVG axes and marks, with D3 v7 scales (`scaleLinear`), `extent`, and `format` handling data mapping and tick labels. Data loads asynchronously via `d3.csv` from a remote Iris dataset, and the chart includes rotated axis labels for clarity.

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width for Iris flowers, with each circle representing a data point from the Iris dataset loaded via `d3.csv`. The visualization uses React components to render SVG elements, with `d3.scaleLinear` handling both axes and `d3.extent` computing the domain. The code employs reusable axis and mark components, styled ticks, and a tooltip showing the formatted sepal length value. Data is fetched asynchronously in a custom `useData` hook.

Mmscoop16

Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width in the Iris dataset, loaded via d3.csv. React components render SVG circles for each data point, with d3.scaleLinear mapping values to axes and d3.format handling tick label abbreviations. The visualization includes axis labels, gridlines, and native SVG tooltips showing exact values on hover.

Ppnlinyz

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower specimen, with hover tooltips revealing the exact sepal length value. The visualization uses React to render SVG elements, with D3.js functions like `scaleLinear`, `extent`, and `format` for scaling and tick formatting. The data is loaded asynchronously from a CSV file via D3's `csv` method, and custom components `AxisBottom`, `AxisLeft`, and `Marks` structure the chart.

OOm Kakatkar

Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width for the Iris dataset. Each point represents an individual flower, positioned based on its measurements, with tooltips displaying the sepal length value. The visualization is built with React and rendered as an SVG, using D3 v5's `scaleLinear` for axis scaling and `extent` to compute data domains. Custom axis components generate ticks, while circular marks are drawn with a fixed radius. The data is loaded from a CSV file hosted on GitHub.

MMayank Kumar

Scatter Plot

A scatter plot visualizes the relationship between sepal length and sepal width in the Iris dataset. Each circle represents a flower sample, with a tooltip revealing its exact sepal length. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes, `extent` for domain calculation, and SVG for rendering. The code handles CSV data loading through a custom `useData` hook, with axis components and marks created via React components.

Ccynichole