Polished Scatter Plot with Menus

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements appear on the X and Y axes via two dropdown menus. The visualization is built with React and D3.js, using d3.scaleLinear for axes and D3’s csv loader to fetch data. SVG circles represent the flowers, with hover tooltips provided by native SVG title elements. Axes are rendered as custom React components, and the interface includes axis labels and a polished Poppins font styling.

Ccshm407

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to select which flower measurements appear on the x- and y-axes via dropdown menus. Built with React and D3 v7, the visualization uses `d3.csv` to load data, `scaleLinear` for axis scaling, and SVG rendering with custom React components for axes and marks. Tooltips reveal precise values on hover, while axis labels dynamically update based on menu selections.

Jjbruzzo

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, letting users switch which flower measurements appear on the x and y axes via dropdown menus. The visualization is built with React and D3, using d3.scaleLinear for axes and d3.extent to set scale domains. It renders SVG circles for each iris specimen, with tooltips showing formatted x-axis values, and resizes the plot area to accommodate a fixed menu height above the chart.

Hhuashe418

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower attributes to display on the x- and y-axes via two dropdown menus. The SVG rendering uses React components with D3 scales (d3.scaleLinear) and axes, while the raw CSV data is loaded asynchronously using d3.csv. Points are drawn as circles with hover tooltips showing formatted values.

Nnpelliccia

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between flower measurements by selecting different attributes for the x and y axes through dropdown menus. Built with React and rendered as SVG, the visualization uses D3.js functions such as `scaleLinear`, `extent`, and `format` to map data ranges and format tick labels. Each point is a circle with a native SVG `<title>` element for hover tooltips, positioned using computed coordinates from the D3 scales. The plot features labeled axes, styled tick marks, and a dark teal color scheme.

Jj-PGi

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which flower measurements appear on the X and Y axes via dropdown menus. The visualization updates in real time, displaying sepal and petal dimensions with axis labels and tooltips. Built with React and D3 v5, it uses `scaleLinear` for axis scaling, SVG circles for data points, and custom components for axes and marks. The chart renders as a static SVG with the data loaded from a remote CSV file.

Cchamce

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

AAudrey

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numerical attributes appear on the X and Y axes via dropdown menus. The chart renders data points as SVG circles, with axes and labels updating dynamically. Built with React and D3.js, it utilizes `scaleLinear` for axis scaling, custom `AxisBottom` and `AxisLeft` components for ticks, and the `Marks` component for rendering circles with tooltips. The data is loaded asynchronously from a CSV file using D3's `csv` function.

KKwame Porter Robinson