Fork of Polished Scatter Plot with Menus

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

Fork of Polished Scatter Plot with Menus

Wwhiteswallow87

Fork of Polished Scatter Plot with Menus

A scatter plot of the Iris dataset displays sepal and petal measurements as circles, with interactive dropdown menus to select which attributes appear on the X and Y axes. The visualization is built with React components, using `d3.csv` to load data and `d3.scaleLinear` with `extent` for scaling. It renders SVG circles, axes, and labels through reusable components, with native HTML `<title>` elements providing tooltips on hover. React state management updates the scales and axes when either dropdown selection changes.

RReymond Mesuga

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

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 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 across species. Two dropdown menus, built with ReactDropdown, dynamically control which attributes appear on the x- and y-axes, with axes and labels updating accordingly. The visualization uses React for component structure, D3 v5 scales and CSV loading via `d3.csv`, and renders circles as SVG marks with tooltips. Styling uses Poppins font and a clean, minimal aesthetic.

PPiotr Paszek

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. Dropdown menus control which numeric attribute is mapped to the x-axis and y-axis, with axis labels updating accordingly. Built with React and D3 v5, the visualization uses D3's `scaleLinear`, `extent`, and `format` functions for scaling and tick formatting, rendering SVG circles with tooltips. The code also leverages the `react-dropdown-browser` library for menu interactions and loads data via D3's `csv` parser.

Bblackbottt