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 flowers. The visualization is built with D3 version 6, using `scaleLinear` for both axes, `extent` to compute data domains, and `axisLeft`/`axisBottom` for tick marks. The code retrieves data from a CSV file via `d3.csv`, then renders circles with a fixed radius of 5 pixels. The SVG canvas fills the entire browser window, with axes labeled at 24-pixel font size.

NNaimisha-M

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 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. 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 scatter plot visualizes the Iris Dataset, mapping petal length to the x-axis and sepal length to the y-axis. D3 code uses `csv` to load data, `scaleLinear` and `extent` to set scales, and `axisLeft` and `axisBottom` for axes. Each flower is rendered as an SVG circle with a fixed radius. The visualization fills the browser window using `window.innerWidth` and `window.innerHeight`.

Rrohinikotha

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. Each flower is represented as a circle with a fixed radius of 5 pixels. The visualization uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.extent` to compute the domains. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, with the SVG filling the full browser window. The chart is built using D3 v6 and styled with a 24-pixel tick font.

DDINESH SAI BOPPANA

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