Scatterplot

Scatterplot with Iris Data

This scatterplot displays the Iris dataset, plotting petal length against sepal width for individual flowers. Built with React and rendered as an SVG, it uses D3’s `scaleLinear` with `extent` and `nice` to compute axes, which are drawn by custom `AxisBottom` and `AxisLeft` components. The `Marks` component maps each data point to a circle with a `<title>` tooltip, and data is loaded asynchronously via D3’s `csv` from a gist URL. The visualization includes axis labels and a custom tick format, but does not encode species or other dimensions.

AArefa Patwary

Iris Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers, with hover tooltips revealing exact measurements. The chart uses React with D3 v7, employing `scaleLinear` for axes and `extent` for domain calculation, while SVG circles render the data points. Axis components generate ticks and labels through D3's `ticks()` method. The visualization uses `d3.csv` to fetch and parse the dataset, with marks styled using CSS classes and a Poppins font.

JJames Rhodes

ScatterPlot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal width with each data point rendered as a circle. Built with React and D3 v7, the visualization uses SVG for rendering, with D3's linear scales to map data values to pixel coordinates. The axes are generated using custom React components (AxisBottom, AxisLeft) that leverage D3's scale ticks, while the Marks component renders circles with tooltips. The interface dynamically fills the browser window and uses the Poppins font, with all data loaded via D3's CSV parsing utility.

Mmbooch22

Scatter Plot - Iris

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The code uses React with D3 v5 utilities, including `scaleLinear`, `extent`, `csv` for data loading, and `format` for axis tick labels. Rendered as an SVG, it includes custom AxisBottom and AxisLeft components that generate ticks and gridlines, while Marks component draws circles with native tooltips via the `<title>` element. Data is fetched from a remote CSV file and parsed into numeric values during loading.

SSai Phaltankar

Scatter Chart

This scatter chart visualizes the Iris dataset, plotting petal width against sepal width for individual flowers. The visualization uses React to render SVG elements, with D3 v5 utilities like `scaleLinear` and `extent` handling the data scaling and domain calculations. Custom React components construct the axes and circular marks, while the data is loaded asynchronously via D3's `csv` function. The chart includes labeled axes and gridlines, with each data point rendered as a circle that reveals its value on hover.

BBetty

Scatter plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and sepal width on the y-axis. Each circle represents a single flower sample, with a native tooltip revealing the precise x-value on hover. Built with React and rendered as SVG using d3.scaleLinear for both axes, the visualization employs custom AxisBottom and AxisLeft components for tick marks and labels. The d3.csv loader fetches the data, while the marks are drawn as circle elements with dark red fill, styled with the Bebas Neue font.

FFrederick O'Brien

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, 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