Fork of Polished Scatter Plot with Menus

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset displays measurements like sepal length and petal width, letting users change which attribute appears on each axis via ReactDropdown menus. The visualization uses React for component structure and SVG for rendering, with d3.scaleLinear for axes and d3.csv for data loading. Circles represent individual flowers, and hovering reveals the numeric value through a native SVG title tooltip.

JJaya Durga V

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses D3.js scaleLinear for axis scaling and extent for domain calculation, with React managing the interactive dropdown menus. Users can select which attributes to plot on the X and Y axes via react-dropdown components, triggering state changes that update the SVG circles and axis labels accordingly. The plot renders using SVG elements, with each data point displayed as a circle with a tooltip showing its value.

AAnnie Ulichney

Fork of Polished Scatter Plot with Menus

A scatter plot of the Iris dataset, rendered as SVG circles, visualizes relationships between sepal and petal measurements. The visualization features interactive dropdown menus, built with React and the `react-dropdown` component, that let users select which attribute maps to the x- and y-axes. The chart uses `d3.scaleLinear` and `d3.extent` to compute scales from the data, which is loaded as CSV via `d3.csv`. Axis components render tick marks and labels using SVG elements.

RRoberto

Fork of Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting attributes for the x and y axes from two dropdown menus. Built with React and D3 v5, it renders SVG circles and axes using components like `scaleLinear` for scaling and `extent` for domains. The visualization updates dynamically through React state management, with dropdowns provided by ReactDropdown, and styling applied via Poppins typography.

MMar-99

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attributes appear on the x and y axes via two dropdown menus. The visualization is built with React and D3 v5, using `scaleLinear` for axes, `extent` to compute domains from the CSV data, and SVG circles for marks. Axis components render ticks and labels, while React state updates the plot when menu selections change, with tooltips showing formatted values on hover.

RRockie Yang

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements through drop-down menus. The React application renders an SVG chart where the x-axis and y-axis attributes are dynamically selected, with axes and marks updating in response. The code leverages d3.scaleLinear for scaling, d3.extent for domain calculation, and d3.csv for data loading, while React's useState manages the currently selected attributes. The visualization includes axes with tick marks, hover tooltips, and labels for the selected attributes.

YYedrup

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, which includes sepal and petal measurements for three flower species. Users select which attribute to display on the X and Y axes via React Dropdown menus, and the plot updates accordingly. Built with React and D3 v5, it uses `scaleLinear` for axes, SVG `<circle>` elements for data points, and `csv()` to load the data. The axis ticks and labels are custom React components, with hover tooltips showing values.

JJuan Raul de la Guardia

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements via dropdown menus that control the x and y axes. Built with React, D3 v5’s `scaleLinear` and `extent` manage the axes, while custom SVG `circle` elements render the data points. The `react-dropdown` library provides the menus, and CSV data is fetched and parsed asynchronously via `d3.csv`. Axis labels and tick marks are generated with D3’s scale API, and hover tooltips display values using a custom formatter.

Wwhiteswallow87