Fork of D3 Scatter Plot

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 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 example renders 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’s `csv` loader to fetch the data, `scaleLinear` with `extent` to compute scales, and `axisLeft`/`axisBottom` to draw the axes. The plot is drawn as SVG circles using `select` to append elements and a `join` operation for efficient circle creation. The visualization adapts to the full browser window, with tick labels styled at 24 pixels.

BBakunya | Kirisaki Rem

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 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 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

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

This scatter plot visualizes the Iris Dataset, plotting petal length on the x-axis against sepal length on the y-axis. Each flower is drawn as a fixed-radius circle in SVG. The code uses d3.csv to load and parse data, d3.scaleLinear with d3.extent for scales, and d3.axisLeft plus d3.axisBottom to render axes with large tick labels. The visualization fills the browser window, with margins applied, and data points are appended via selection joins.

Wwieswies