Fork of Scatter Plot with Menus

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 visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attributes are plotted on the x- and y-axes via dropdown menus. The chart renders data points as SVG circles with tooltips, using D3’s `scaleLinear`, `extent`, and `format` APIs for axes and tick labels. The visualization is built with React, managing state for axis selections, and a custom `useData` hook loads the CSV data using `d3.csv`.

GGeekboxer

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying sepal and petal measurements as a series of circles. Two dropdown menus allow the user to independently select which quantitative or categorical attribute is plotted on the x- and y-axes. The visualization is built with React and D3 v5, using `d3.scaleLinear` and `d3.extent` to map data to SVG coordinates, while axis components and marks are rendered as reusable React functions. Data loading is handled asynchronously with `d3.csv`, and the chart updates dynamically when menu selections change.

Sshimos12468

Fork of Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute appears on the X and Y axes, with axes and labels updating dynamically. Built with React and D3 v5, the visualization uses d3.scaleLinear for scales, d3.extent for domain calculation, and d3.csv for data loading. SVG rendering draws the circular marks, while custom React components handle axis generation and menu controls, with d3.format applying abbreviated tick labels.

AAbin

Fork of Scatter Plot with Menus

This interactive scatter plot of the classic Iris dataset lets users explore relationships between sepal and petal measurements. Two dropdown menus control which attribute is mapped to the x- and y-axes, updating the visualization in real time. Built with React and using d3's `scaleLinear` and `extent` for scaling, the SVG render shows circles colored teal, with labeled axes and tooltips. The data loads asynchronously from a GitHub-hosted CSV via d3's `csv` function.

Ppatty5531998

Fork of Scatter Plot with Menus

This interactive scatter plot allows users to explore the classic Iris Dataset by selecting which measurements to display on the x and y axes. It uses two dropdown menus to toggle between sepal length, sepal width, petal length, petal width, and species, with the axis labels updating accordingly. Built with React and d3 v5, the visualization uses `scaleLinear` to map data values to coordinates and `Marks` to draw the circles, with axes rendered by helper components. The styled SVG output is driven by user selections, enabling on-the-fly comparisons of the dataset's features.

WWalkramis

Fork of Scatter Plot with Menus

This interactive scatter plot displays the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus, implemented with React state, dynamically select which numerical attributes map to the x and y axes. The visualization renders as an SVG using React with D3’s `scaleLinear` for axis scales and `extent` to compute domains from the CSV data. Circle marks use a tooltip via the `<title>` element.

Eevers-codeshop-ai

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which measurements (sepal length, sepal width, petal length, petal width, species) appear on the x- and y-axes via dropdown menus. The visualization is rendered as SVG using React, with D3.js (d3.v5) handling data loading via `csv`, linear scaling via `scaleLinear`, and axis tick generation. Each data point is drawn as a circle whose position and hover tooltip are determined by the selected attributes.

NNikithakatta30