Fork of Scatter Plot with Color

Fork of Scatter Plot with Color

This scatter plot visualizes the Iris dataset, mapping petal length and sepal width for individual flowers. Each circle is color-coded by species using a d3.scaleOrdinal with a custom range, and axes are rendered with d3.scaleLinear and custom React components. The d3.csv loader parses numeric fields, while React components handle SVG rendering of axes and marks.

Oonceup

Fork of Scatter Plot with Color

This example visualizes the classic Iris dataset as a scatter plot, mapping petal length to the x-axis and sepal width to the y-axis. Each of the 150 flowers is drawn as an SVG circle, with its color encoding the species via a d3.scaleOrdinal. The React components render axes using d3.scaleLinear for positioning, while d3.ticks generate gridlines and labels. Data is loaded asynchronously through d3.csv, and tooltips appear on hover using SVG `<title>` elements.

AAnthony Le

Fork of Scatter Plot with Color

This scatter plot visualizes the Iris Dataset, mapping petal length and sepal width for individual flowers while color-coding points by species. The visualization uses D3 scales (scaleLinear, scaleOrdinal with schemeCategory10) to position and color marks, rendered as SVG circles within a React component structure. Axes are generated through reusable React components using D3’s tick generation, with formatted numeric labels and axis titles for petal length and sepal width. Data loading is handled asynchronously via D3’s CSV fetching and parsing utilities.

KKaminariOS

Fork of Fork of Scatter Plot with Color

This scatter plot visualizes the Iris Dataset, showing petal length on the x-axis and sepal width on the y-axis, with each of the three iris species colored distinctly via a d3.scaleOrdinal. The visualization is built with React and D3 v5, using d3.scaleLinear for axes and SVG circles for marks. Data is loaded asynchronously from a CSV file using d3.csv, with axes rendered by custom React components that call d3 scale methods like ticks for positioning grid lines and labels.

Ppemmasaniprudhvinadh

Fork of Scatter Plot with Color

A React and D3 v5 scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and sepal width on the y-axis. Each point is colored by species using `d3.scaleOrdinal`. The chart uses `d3.scaleLinear` for axis scales, reusable React components for axes and marks, and SVG circles with tooltips. Data is loaded asynchronously from a CSV URL using `d3.csv`.

JJakob Waibel

Fork of Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset by mapping petal length and sepal width for individual flowers. Each circle is colored by species using a D3 ordinal scale. The React-based code uses `d3.scaleLinear` and `d3.scaleOrdinal` to position and color the marks, rendered as SVG `circle` elements, with `d3.csv` loading the data for display.

PPiotr Paszek

Fork of Fork of Scatter Plot with Color

This scatter plot visualizes the Iris dataset, showing petal length against sepal width, with each of the three iris species represented by a distinct color. The visualization uses React components to render SVG circles, with d3.scaleLinear mapping the quantitative axes and d3.scaleOrdinal assigning categorical colors. Axes are generated through custom React components that leverage d3’s tick generation, while the useData hook fetches and parses the CSV data using d3.csv. Hovering over a circle displays its exact petal length value via an SVG title element.

PPiotr Paszek

Fork of Scatter Plot with Color

This scatter plot visualizes the Iris Dataset, showing petal length against sepal width with points colored by species. Built with React and D3 v5, it uses d3.scaleLinear for both axes and d3.scaleOrdinal for categorical colors. The SVG rendering includes custom axis components and circles with tooltips via SVG `<title>` elements, with data loaded asynchronously using d3.csv.

SShafi