Plot Template v9.24.20

Plot Template v9.21.20

A scatter plot of Iris flower measurements shows sepal length against sepal width, with each point colored by species origin. The plot includes labeled axes, gridlines, and a title. Built with D3 v6, the visualization uses `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.scaleOrdinal` to map categorical species values to colors. Data is loaded as CSV from the uiuc-cse GitHub repository and rendered as SVG circles with fixed radius and opacity.

94% match

Plot Template v9.24.20 - Tooltip Test

This scatter plot template visualizes the Iris dataset, encoding sepal length and width as x and y coordinates while coloring points by species. Built with D3.js v6, it uses `d3.scaleLinear` for both axes, `d3.scaleOrdinal` for categorical color mapping, and `d3.axisBottom`/`d3.axisLeft` for tick marks. The SVG rendering includes hover tooltips that display text at the cursor’s page coordinates, with animated transitions on mouseover and mouseout. Data loads asynchronously from a CSV via `d3.csv`.

92% match

New Plot Test 9.21.20

This scatterplot visualizes the Iris dataset, showing sepal width against sepal length for three species of iris flowers. Each flower is represented by a colored circle, with species assigned distinct colors from a d3.scaleOrdinal range. The visualization is rendered as an SVG using D3 v6, with d3.scaleLinear functions mapping the measurement domains to pixel coordinates for the axes. The plot is constructed by appending a group element, adding axis generators d3.axisLeft and d3.axisBottom, and binding the data to circle elements.

scatter plot

This scatter plot visualizes the Iris Dataset, displaying sepal length on the x-axis and sepal width on the y-axis, with each point colored by species (Iris-setosa, Iris-versicolor, or Iris-virginica). The visualization uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles in an SVG. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and additional petal length and width values determine each circle’s radius properties. The plot fills the browser window, with styled tick labels and axis text.

DDineshK2602

Scatter Plot Template -

This example shows a scatter plot of Iris flower measurements, plotting sepal width against sepal length for several species. The visualization uses D3.js v6 to load a CSV dataset and render SVG circles, with linear scales mapping the numeric values to pixel coordinates along the x- and y-axes. Axis components are generated using d3.axisBottom and d3.axisLeft, while the circles are appended and positioned based on the parsed data fields via d3.scaleLinear.

Scatter Plot Template

This scatter plot template displays the Iris dataset, plotting petal length against sepal length for individual flower samples, with hover tooltips revealing species names. The visualization uses D3 v7’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to map data coordinates to SVG circles within a full-window responsive layout. Data is loaded asynchronously via `d3.csv` from a remote GitHub Gist, parsed with numeric coercion, and rendered using D3’s data-join pattern with `selectAll(...).join(...)` to bind circles and append titles. Axes are added as SVG groups with margin-based transforms.

Ppkdvalis

Iris Scatter Plot

This scatter plot visualizes the Iris flower dataset, comparing sepal length to sepal width across three species encoded by color. The visualization uses D3 v7’s scaleLinear, axisBottom, and axisLeft to construct the chart, with an ordinal color scale for species classification. Rendered as SVG, it includes a manually drawn legend and gridlines, reading data from a local CSV file through d3.csv. The chart demonstrates ES6 module imports and loading D3 via UNPKG.

YYi-Qing

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Using D3 v7, it loads CSV data via `d3.csv`, applies linear scales with `scaleLinear`, and renders circles as marks. Axes are drawn with `axisLeft` and `axisBottom`, and the SVG canvas fills the browser window. The code explicitly parses numeric fields and converts data values into pixel coordinates for each point.

SScott-Collier