ScatterChart2

Scatterplot

This scatterplot visualizes the Iris dataset, plotting sepal length against sepal width for individual flowers. Using React to render SVG elements, the chart displays data points as red circles with tooltips showing the exact sepal length value. The code leverages D3 utilities such as `csv` for data loading, `scaleLinear` for axes, and `extent` for domain calculation, while custom React components construct the axes and marks. The visualization features labeled axes, tick marks, and a clean design with a Poppins font.

Yyastika

Scatterplot

This scatterplot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower specimens. The React-based visualization uses D3’s `scaleLinear` and `extent` to map data to SVG coordinates, with axes rendered as reusable components. Points are drawn as SVG circles with tooltips, and the chart includes labeled axes and tick formatting. Styling uses the Poppins font, with axis lines, ticks, and marks styled via CSS classes.

LLove Wessman

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

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 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 displays the relationship between sepal length and sepal width from the Iris dataset. The visualization uses React to render SVG elements, with D3 utilities for data loading, scaling, and axis generation. The code employs `d3.csv` to fetch and parse the Iris data, `d3.scaleLinear` to map values to pixel coordinates, and custom React components for rendering axes and circular marks with hover tooltips. The plot features a clean design with gray tick marks, labeled axes, and teal-colored data points.

CCatalina Vajiac

Scatterplot

This scatterplot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower samples, with the data loaded via `d3.csv` and rendered as SVG circles using React. The code uses `d3.scaleLinear` with `d3.extent` and `.nice()` to compute continuous scales for both axes, while custom React components generate the axis ticks and marks. Each point includes a tooltip via an SVG `<title>` element, and the chart includes rotated and positioned axis labels.

TThe4star

Stylized Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width for iris flowers. The visualization uses d3.scaleLinear for both axes, with React components rendering SVG circles through the Marks component. Data is loaded asynchronously via d3.csv from a GitHub gist, with axes created using d3 ticks and formatted with d3.format. The plot features a clean, minimal design with teal circles and a Poppins font, while native SVG <title> elements provide tooltips on hover.

Ssophievanderhorst