D3 Scatterplot

D3 Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal length for individual flowers. Built with D3 v7 and React, the visualization uses SVG circles and linear scales to map data values to screen coordinates, with axes generated by d3.axisLeft and d3.axisBottom. The code loads CSV data asynchronously via d3.csv, parses numeric fields, and renders points with a steelblue fill. Axis tick labels are styled with a large Courier New font, and the chart fills the browser window dynamically.

Nnicolekevans

D3 Scatter Plot

This D3 scatter plot visualizes the Iris flower dataset, plotting petal length against sepal length for each sample as circles in an SVG rendered with React. The code uses d3.csv to load and parse the data, d3.scaleLinear to map values to screen coordinates, and d3.axisLeft and d3.axisBottom to display the y- and x-axes. The visualization updates the browser window dimensions dynamically and demonstrates a straightforward data-to-mark binding pattern with d3.selectAll and .join.

Ccardoza-IPH

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is rendered as a circle using SVG within a React framework. The code utilizes `d3.csv` to load and parse the data, `d3.scaleLinear` for axis scaling, and `d3.extent` to determine data domains. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while the chart dynamically fills the browser window's dimensions.

EEzhil-Kalai

scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length on the x-axis against sepal width on the y-axis. Built with React and D3 v7, it uses d3.scaleLinear to map data values to SVG coordinates, rendering circles with tooltips. The chart includes custom axes via d3.ticks, with axis lines and labels styled through CSS. Data is loaded asynchronously from a CSV file using d3.csv.

BBlake McCarty

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It displays each data point as a circle in an SVG rendered at full window size. The code uses d3.csv to load the data, d3.scaleLinear with d3.extent for axes, and d3.axisLeft and d3.axisBottom to draw the scales.

Sshmouelsamares

D3 Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, mapping petal length to the x-axis, sepal length to the y-axis, sepal width to point radius, and petal width to color via `interpolateRainbow`. Built with React and D3 v7, it uses `scaleLinear` for all encodings and D3’s `csv` loader with a parse row function. The SVG rendering fills the viewport, with `axisLeft` and `axisBottom` producing labeled tick marks. Data is fetched from a GitHub gist and displayed at full window size.

Ppawelsapiecha

Scatter Plot

This interactive scatter plot displays the Iris dataset, plotting petal length against sepal width for individual flowers. The visualization is built with React and rendered as SVG elements, using D3 v7 scales (d3.scaleLinear) and axes. Each data point is a circle with a radius of 10, and hovering reveals the petal length as a native tooltip. The code uses d3.extent to set domains, d3.csv for data loading, and d3.format with a custom tick formatter that replaces 'G' with 'B' for axis labels.

Aangelathacker123

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. Built with React and D3 v5, it uses `scaleLinear` to create axes and renders circles as SVG marks. The `axisBottom` component formats tick labels with D3's `format` function, while tooltips display values via SVG `<title>` elements. The data loads asynchronously from a CSV using D3's `csv` parser.

Llefat92