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 dynamically select which flower measurements appear on the x- and y-axes using two dropdown menus built with `ReactDropdown`. The React component structure uses `useState` to manage axis selections and `d3.csv` to load data, while D3’s `scaleLinear`, `extent`, and `max` handle scaling. SVG circles represent individual flowers, with axis labels and ticks generated by custom `AxisBottom` and `AxisLeft` components, rendering the chart entirely in SVG.

NNick-Brice

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset, rendered as SVG in a React app, lets users explore relationships between four numeric flower measurements. Two dropdown menus, built with ReactDropdown, control which attributes map to the x- and y-axes. The visualization uses D3 v5 scales and extent functions to compute domains, and custom React components render the axes and circular marks. Data is loaded asynchronously via d3.csv from a GitHub-hosted CSV file.

DDonald Bagwell

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements to display on the x- and y-axes via dropdown menus. Built with React and rendered as SVG, the chart plots species data points using `d3.scaleLinear` for scales and `d3.extent` for domains. The two dropdowns, implemented with `react-dropdown`, update the plot through React state, while `d3.csv` asynchronously loads the data. Axis components and marks are created using D3’s tick generation and SVG circle elements.

朱朱思嘉

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, with dropdown menus allowing users to select the attributes mapped to the x- and y-axes. The React application uses D3.js scale functions, including `scaleLinear` and `extent`, to compute domains and ranges for the SVG circles representing each iris flower. The D3 `csv` loader asynchronously fetches and parses the dataset from a GitHub gist, while the `react-dropdown` component provides the menu interface, and axis ticks are rendered with D3’s scale methods.

KKunkgg

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 select which measurements to plot on the x and y axes via two dropdown menus. Built with D3 v5 and React, it renders SVG circles, with axes, labels, and a tooltip generated through custom components. The code uses D3’s `scaleLinear`, `extent`, and `csv` for data loading and scaling, and the `react-dropdown-browser` library for the menus.

DDasbach.EJ

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, featuring dropdown menus to select which measured attribute appears on the x- and y-axes. The visualization updates the axes and data points in response to user selections, with tooltips showing the x-value for each circle. Built with React and D3 v5, the code uses `scaleLinear` for axes, `csv` for data loading, and `ReactDropdown` for the menu controls. The SVG rendering separates axis and mark components, employing D3’s `extent` and `max` for domain calculations.

HHenry-Bayly

Fork of Polished Scatter Plot with Menus

This example shows interactive scatter plots of the Iris dataset, allowing users to choose which floral measurements appear on the x- and y-axes via ReactDropdown menus. The visualization renders points as SVG circles using React components, with axes generated from d3.scaleLinear and d3.extent. Data is loaded asynchronously with d3.csv and parsed into numeric values. Axis ticks and labels are styled using CSS, and hover tooltips display formatted values via SVG title elements.

RRamashish Pandey