Scatter plot

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

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

scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length on the x-axis against sepal width on the y-axis. Built with React and D3 v7, it uses d3.scaleLinear to map data values to SVG coordinates, rendering circles with tooltips. The chart includes custom axes via d3.ticks, with axis lines and labels styled through CSS. Data is loaded asynchronously from a CSV file using d3.csv.

BBlake McCarty

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

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, 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