Plot Template v9.21.20

Plot Template v9.24.20

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against sepal width on the y-axis, with each species color-coded via a d3.scaleOrdinal. The code uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.axisBottom/d3.axisLeft with tick lines to create gridlines. Rendered as SVG, it includes labeled axes, a title, and semi-transparent circles with stroke, demonstrating a customizable D3.js v6 template.

94% 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.

91% 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`.

90% match

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.

89% match

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

Iris Scatter Plot

This scatter plot visualizes the Iris dataset, showing sepal length against sepal width for three species of iris flowers. The data comes from a CSV file containing measurements of 150 samples, with each species represented by a different color using D3’s scaleOrdinal and schemeSet1 palette. The visualization uses D3 v5 to load the data via csv(), create linear scales with scaleLinear, and render SVG circles with axisBottom and axisLeft for labeled axes. The chart includes gridlines and a title, with opacity applied to circles to reveal overlapping points.

Xxiplus

Iris_Scatter_Plot

This scatter plot visualizes the classic Iris dataset, showing the relationship between sepal length and sepal width for three iris species, with each species represented by a distinct color. Data is loaded from a tab-separated values file using `d3.tsv`, and the visualization is rendered as SVG circles using D3 v3. Linear scales (`d3.scale.linear`) map the quantitative axes, while `d3.svg.axis` generates the bottom and left axes with labels. A color legend identifies the species categories, and all points are drawn with a fixed radius of 3.5 pixels.

CChmits

Iris_Scatter_Plot

CChmits