Fork of D3 Scatter Plot

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset using a D3 scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear and d3.extent to compute scales, and d3.axisLeft and d3.axisBottom to render axes. The SVG circles are positioned using the d3.select and join API, with a radius of 5 pixels. The plot fills the entire browser window by setting the SVG dimensions to window.innerWidth and window.innerHeight.

Ppakoensi

Fork of D3 Scatter Plot

This example visualizes the Iris dataset as a scatter plot, mapping petal length and sepal length onto the horizontal and vertical axes. Each flower is drawn as a circle with a fixed radius. The visualization uses the D3.js v6 API, including `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.axisLeft` and `d3.axisBottom` to render tick labels. The SVG canvas fills the browser window, with circles positioned via data-driven coordinates.

JJyothicherukuri

Fork of D3 Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flower samples. Each circle represents a data point, with axes labeled using D3's scaleLinear, axisLeft, and axisBottom APIs, and tick text styled at 24px. The visualization fills the browser window by setting SVG dimensions to window.innerWidth and innerHeight, reading the dataset from data.csv via d3.csv. Circle positions are computed by mapping data values through linear scales with defined margins and a fixed radius of 5 pixels.

YYash_Mistry

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 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 APIs including `csv` for data loading, `scaleLinear` for scaling, and `axisLeft` and `axisBottom` for axes. The SVG circles are rendered via `selectAll` and `join`, with a fixed radius. The plot fills the browser window, using `window.innerWidth` and `window.innerHeight` to size the chart, and includes tick labels with 24px font styling.

JJordi

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. Built with D3 v6 and rendered as SVG, it loads data via `d3.csv`, scales positions using `d3.scaleLinear` with `d3.extent` domains, and draws circles for each observation. Axes are generated with `d3.axisLeft` and `d3.axisBottom`. The chart fills the browser window, with margins and a fixed point radius, highlighting the distribution of flower measurements.

Nnikhitha693

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. Built with vanilla JavaScript and D3 v6, the SVG circles are positioned using `d3.scaleLinear` with domains from `d3.extent` and ranges derived from the window’s dimensions. Data is loaded via `d3.csv` from a GitHub Gist, with numeric columns parsed on ingestion. Axis rendering via `d3.axisLeft` and `d3.axisBottom` is present but commented out, leaving the chart with only the plotted points.

AAdan Rodriguez

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. Each flower is rendered as a fixed-radius circle, with axes labeled via `d3.axisLeft` and `d3.axisBottom`. The code loads CSV data using `d3.csv`, parses numeric values, and applies `d3.scaleLinear` with `d3.extent` to set domains. SVG circles are appended using `selectAll().data().join()`, while margins and window dimensions position the plot.

RRichard