D3 Scatter Plot

Aadityapalliyil0@gmail.com

D3 Scatterplot

This interactive scatterplot visualizes the Iris dataset, plotting petal length against sepal length for individual flowers. Built with React and rendered as an SVG, it uses D3 v7 scaleLinear, extent, and axis functions to map data coordinates and display axes. Circles are drawn using the join operation, with data parsed from a remote CSV file.

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 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 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

D3 Scatter plot

This scatter plot visualizes the Iris flower dataset by plotting petal length against sepal length. The visualization uses D3.js v7 with linear scales to map data values to screen coordinates, and SVG circles represent individual data points. The code demonstrates data loading and parsing via d3.csv with type coercion for numeric fields. Axes are generated using d3.axisLeft and d3.axisBottom, positioned according to defined margins, while the plot dynamically fills the browser window using window.innerWidth and innerHeight.

JJuan Corrales Correyero

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

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

D3 Scatterplot

This example shows a D3 scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The SVG viewport fills the browser window, with circles representing individual data points and axis ticks styled at 18px. Built with React and d3.v7, the code loads the CSV via `d3.csv`, then uses `scaleLinear` for both axes, `axisLeft` and `axisBottom` to render tick marks, and a data join to append circles with tooltips showing coordinate values. The data comes from a GitHub-hosted CSV file.

Rrespingu