Fork of Scatter Plot with Menus

Fork of Scatter Plot with Menus

This is an interactive scatter plot of the classic Iris Dataset, featuring dropdown menus to select which quantitative attribute is mapped to the x and y axes. The visualization displays all 150 flowers, with each point’s species identifiable through the available attributes. Built with React and d3, the code uses React’s `useState` hooks to manage selected axes, d3’s `scaleLinear`, `extent`, and `csv` for data loading and scaling, and custom React components for the axes and marks. SVG circles render the data points, with axis labels updating dynamically based on menu selections.

Hhung2606

Fork of Scatter Plot with Menus

This interactive scatter plot of the Iris dataset allows users to select which flower measurements to display on the x and y axes via two dropdown menus. Built with React and D3 v5, it renders SVG circles and axes, using `scaleLinear` for coordinate mapping and custom components for axes, marks, and menus. The visualization updates dynamically when the user changes the selected attributes.

AAvonlea Fisher

Fork of Scatter Plot with Menus

A scatter plot of the Iris dataset allows users to select which flower attributes appear on the X and Y axes via two dropdown menus. Built with React and D3 v5, it uses `scaleLinear` and `extent` to map data to SVG coordinates. Axis components render ticks and labels, while circular marks display each sample with tooltips. The dataset is loaded as CSV and all four numeric measurements plus species are available as axis options.

Ttrissentety

Fork of Scatter Plot with Menus and Colour and Legend

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between four flower measurements by switching the X and Y axes via dropdown menus. Each point is colored by species, with a legend clarifying the color encoding. The visualization is built with React functional components and renders SVG marks using D3 v5 scales. It leverages `d3.scaleLinear` for axes, `d3.scaleOrdinal` for categorical colors, and React state hooks to manage attribute selections.

NNikita Toropov

Fork of 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 dropdown menus. The visualization is built with React and rendered as SVG, using D3 v5 scale functions like `scaleLinear` and `extent` for scaling and axis generation. Data is loaded asynchronously with `d3.csv` from a GitHub-hosted CSV file. Each point represents an iris specimen, with native SVG `<title>` elements providing hover tooltips that display precise values.

Cchar0496

Fork of Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, encoding each observation as a colored circle based on its species. Dropdown menus allow viewers to switch which flower measurements appear on the x- and y-axes. The React component uses `useState` to manage axis selections, while D3 v5 functions like `scaleLinear`, `scaleOrdinal`, and `extent` handle scaling and domains. Axes are drawn as SVG elements in separate `AxisBottom` and `AxisLeft` components, and `Marks` renders the circles with tooltips, all styled with a Poppins font.

Rravencyan

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which flower measurements (sepal length, sepal width, petal length, petal width, or species) appear on each axis via dropdown menus. Built with React and D3 v5, it uses `scaleLinear` from d3 for axis scaling, `extent` for domain computation, and `csv` for data loading. SVG circles represent individual iris samples, with D3 tick marks and labels rendered as React components, and each point includes a tooltip showing its x-axis value.

Lleonine2017

Fork of Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between four measured attributes and species through dropdown menus that dynamically reassign the x- and y-axes. Built with React and rendered as SVG using D3 v5, the visualization updates scales and marks via state changes triggered by the dropdown selections. The code leverages `scaleLinear`, `extent`, and `csv` for data loading and scaling, with custom React components for axes, marks, and menu controls.

XXiaoyu Su