Fork of Scoter Plot

Fork of Scoter Plot

This example displays a scatter plot of the Iris dataset, visualizing sepal length against sepal width. Each flower’s measurements are plotted as a teal circle, with the x-axis labeled “Sepal Length” and the y-axis labeled “Sepal Width.” The visualization uses the D3.js `scaleLinear` and `extent` functions to compute scales, and React components for rendering axes and points. Data is loaded via D3’s `csv` function from a remote URL. The SVG output uses a custom font and a minimal axis style, with hover tooltips showing the sepal length value.

JJonathan

95% match

Scoter Plot

This Scoter Plot visualizes the Iris dataset, showing the relationship between sepal length and sepal width through a scatter plot composed of teal circles. The chart uses d3.scaleLinear to map the data values to pixel coordinates, with axes rendered as SVG elements using React components. The d3.csv method loads the dataset from a GitHub gist, and hover tooltips display the exact sepal length value. The visualization demonstrates how React and D3 can work together to create interactive data displays.

93% match

Scotter Plot with Color

This scatter plot visualizes the Iris flower dataset, showing sepal length against sepal width, with points colored by species using a D3 scaleOrdinal mapping to orange, teal, and purple. Hovering over a circle reveals its sepal length via an SVG title element. The React app loads CSV data via d3.csv, scales axes with d3.scaleLinear, and renders axes and a categorical color legend using modular React components. The SVG output includes axis tick formatting with d3.format and rotated axis labels.

91% match

Stylize Scotter Plot with Menu

This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements as circles colored teal on an SVG canvas. Two dropdown menus let users independently select which numerical attribute (sepal length, sepal width, petal length, or petal width) maps to the x-axis and y-axis, with axis labels updating accordingly. Built with React and D3 v6, the example uses `d3.scaleLinear` and `d3.extent` for scales, `d3.csv` for data loading, and custom SVG components for axes and circles. The chart includes hover tooltips via SVG `<title>` elements and a playful RocknRoll One font.

Fork of scator plot

A scatter plot of the Iris dataset visualizes sepal length on the x-axis and sepal width on the y-axis, with each point colored by species (green for setosa, violet for versicolor, red for virginica). The visualization uses D3 v6 API calls `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub gist and render SVG circles with fixed radius. Petal length and width values are stored on each point but not drawn, while the chart includes rotated axis labels for sepal and petal dimensions.

VVineela Reddy

Scotter Plot with Menu

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus, implemented with React state, control which attribute appears on the x- and y-axes, with axis labels updating accordingly. The chart uses d3.scaleLinear to map data values to SVG coordinates, with reusable AxisBottom and AxisLeft components rendering ticks and grid lines. Each data point is drawn as a circle with an SVG title tooltip showing its hover value. The visualization is built with d3.v6 and React, loading data via d3.csv.

Fork of Iris Scatter Plot

This scatter plot visualizes the sepal length and width of Iris flowers from a CSV dataset. The visualization uses D3.js scaleLinear functions to map data to SVG coordinates within a React application. Axis components render tick marks and labels, while circular marks represent individual data points with tooltips. The code styles elements using CSS, including custom fonts and a teal color for the marks, and implements responsive loading with a "Loading..." indicator.

SSam Hege