Fork of D3 Scatter Plot

Fork of D3 Scatter Plot

This fork of a D3 scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and sepal length on the y-axis. It loads CSV data from a Gist URL using `d3.csv` and renders circles as SVG marks. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` compute the scales. The chart fills the browser window, using `window.innerWidth` and `window.innerHeight` for its dimensions.

Ggalyniayaroshenko

Fork of Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width on the x- and y-axes while coloring each point by species (green for setosa, purple for versicolor, orange for virginica). The D3.js v6 code loads the CSV data via `d3.csv`, and uses `d3.scaleLinear` for axes and `d3.extent` to compute domains. Using `d3.select` and the `join` operator, it appends SVG circles whose radius is fixed, while also setting `rx` and `ry` attributes (though these do not affect circle rendering). Axis labels and tick marks are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization is rendered directly to an SVG element sized to the full browser window.

Vvamshisoletii

Fork of D3 Scatter Plot

This visualization displays the classic Iris Dataset as a scatter plot, mapping petal length on the x-axis against sepal length on the y-axis. Circles represent individual flower samples, with axes rendered using D3’s `scaleLinear`, `axisLeft`, and `axisBottom`. The code loads data via `d3.csv`, parses numeric columns, and appends SVG circles sized with a fixed radius. It leverages D3 v6, fetching the dataset from a GitHub Gist and responsively filling the browser window with full viewport dimensions.

DDuckGorilla

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6 to load CSV data via `d3.csv`, scales the data with `scaleLinear` and `extent`, and renders SVG circles for each observation. Axes are generated with `axisLeft` and `axisBottom`, while the chart fills the browser window using `window.innerWidth` and `window.innerHeight`. The plot clearly shows clusters of iris species based on their measurements.

Ddaria.daria

Fork of D3 Scatter Plot

A D3 scatter plot displays the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis for individual flower specimens. Each data point is rendered as a fixed-radius SVG circle, with axes scaled using `d3.scaleLinear`. The code loads the CSV data via `d3.csv`, parses numeric fields, and appends an SVG canvas sized to the browser viewport. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while the circles are bound to data and added using `d3.selectAll` and `.join`.

NNita

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles with SVG. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, with margins adjusting the plot area to fill the viewport.

Wwilliam3333

Fork of D3 Scatter Plot

This fork of a D3 scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and sepal length on the y-axis using d3.scaleLinear with nice tick values. It loads CSV data via d3.csv, parses numeric fields, and renders circles with SVG attributes set through d3.select and data joins. The visualization fills the browser window, adding an axisBottom and axisRight using d3.axisBottom and d3.axisRight, with a 24-pixel tick font size and fixed margins around the plot.

HHarshit-Prasad

Fork of 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 uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, compute scales, and render axes. Circles are drawn with SVG via `selectAll` and `join`, with coordinates transformed from data values to pixel positions. The plot fills the browser window and includes a 24-pixel tick font for readability. Data is fetched from a GitHub Gist, and parsing converts numeric fields with `+d`.

EEmnaAbbes