Fork of Title to the Dot (Studying of D3 Scatter Plot)

100%

Fork of Title to the Dot (Studying of D3 Scatter Plot)

✓ Published0🌍 Public

Last edited Feb 14, 2023

Created on Feb 14, 2023

Forked from Title to the Dot (Studying of D3 Scatter Plot)

This D3.js scatter plot visualizes the Iris dataset, plotting petal length against sepal length for each flower sample. Circles are positioned on an SVG canvas using a linear scale for both axes, with axes rendered via `axisLeft` and `axisBottom`. Tooltips appear on hover, showing the exact data coordinates via appended `title` elements. The code loads data from a CSV file using `d3.csv` and constructs the visualization with `scaleLinear` and `extent` functions.

AI-generated description

A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Title to the Dot (Studying of D3 Scatter Plot)

This scatter plot visualizes the Iris dataset, mapping petal length against sepal length for individual flowers. Each circle represents a data point, with its position determined by d3.scaleLinear scales and its tooltip showing the exact coordinate values. The code uses d3.csv to load the data, d3.extent to compute domains, and d3.axisLeft and d3.axisBottom to render axes. SVG circles are bound to the data via d3.selectAll and the .join() pattern. The visualization fills the entire browser window and adjusts its dimensions accordingly.

CCurran Kelleher

95% match

Loading thumbnail…

Fork of Title to the Dot (Studying of D3 Scatter Plot)

This example visualizes the Iris dataset as a scatter plot, mapping petal length on the x-axis against sepal length on the y-axis. Each circle represents a flower sample, with a hover tooltip showing the exact coordinates. Built with D3 v6, the code loads CSV data, uses `scaleLinear` and `extent` to set scales, and renders circles as SVG elements. Axes are added via `axisLeft` and `axisBottom`, with the chart sized to the full browser window.

Lliu yang

94% match

Loading thumbnail…

Fork of Title to the Dot (Studying of D3 Scatter Plot)

This scatter plot visualizes the Iris Dataset, mapping petal length against sepal length for individual flowers. The SVG rendering uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles and draw axes. Hovering over a circle reveals a tooltip with the exact data coordinates. The plot fills the browser window, with margins used for axis placement and tick labels styled at 24 pixels.

Zzhuomo-maker

94% match

Loading thumbnail…

Fork of Title to the Dot Scatter Plot - Good

This example shows a scatter plot of the Iris dataset, visualizing petal length versus sepal length with tooltips revealing exact coordinates on hover. The visualization is rendered as an SVG using D3 v6, with circles positioned using linear scales computed from the data’s extent. The code explicitly references the CSV via a GitHub gist URL, parses numeric columns, and employs `axisLeft` and `axisBottom` for labeled axes. The chart adapts to the browser viewport dimensions, and each data point includes a title element for interactive details.

Ssidobagga

91% match

Loading thumbnail…

Title to the Dot (Studying 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 as circular marks. Built with D3 v6, it uses `d3.csv` to load data, `d3.scaleLinear` for both axes, and `d3.extent` to set the domains. Each circle renders in SVG and includes a native `<title>` element that displays the exact coordinate values on hover, while `d3.axisLeft` and `d3.axisBottom` generate the labeled tick marks.

FFelipe Maion

89% match

Loading thumbnail…

Fork of D3 Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flowers. The visualization uses D3 version 6, loading the data via the `csv` function and parsing numeric fields. The code employs `scaleLinear` to map data domains to pixel ranges, `extent` to calculate domains, and `axisLeft` and `axisBottom` to render the y- and x-axes. Data points are drawn as SVG circles using the `.join` operator, while axis labels are added as SVG text elements.

RRahulSai05

89% match

Loading thumbnail…

Fork of D3 Scatter Plot

This scatter plot visualizes the Iris flower dataset, mapping petal length against sepal length using a linear scale for each axis. The code loads the CSV data via d3.csv and renders circles as SVG marks, with axes drawn using d3.axisRight and d3.axisBottom. It uses d3.scaleLinear with extents derived from the data, and the chart fills the entire window with a fixed margin around the plot area. The visualization updates dynamically based on the browser’s dimensions.

HHarshit-Prasad

89% match

Loading thumbnail…

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. Each point is rendered as an SVG circle with a fixed radius of 5 pixels. The code uses D3 v7 APIs including `scaleLinear` for axis scaling, `extent` for domain calculation, `axisLeft` and `axisBottom` for axes, and `csv` for data ingestion from a GitHub-hosted CSV file.

Vvryvarma5577@gmail.com

89% match