Iris_scatterplot

Iris_scatterplot_sepal

This example visualizes the classic Iris dataset, plotting sepal length against sepal width for three iris species. Built with D3 v4, the scatterplot uses SVG shapes to encode species: circles for setosa, red squares for versicolor, and black squares for virginica. A square-root scale controls point size, and hover tooltips display species names. Animated transitions and a categorical color legend complete the chart, which reads directly from iris.csv.

94% match

Iris_scatterplot_sepal

This example visualizes the classic Iris dataset using a scatterplot of sepal length versus sepal width, with points colored and shaped by species. Built with D3 v4, it renders as an SVG with a tooltip that appears on hover, and includes a categorical legend and axis labels.

92% match

Iris_scatterplot_sepal

This example visualizes the classic Iris dataset, plotting sepal length against sepal width for 150 flowers. Points are encoded with different shapes and colors to distinguish the three species: setosa (circles), versicolor (red squares), and virginica (black squares). The visualization includes axis labels, a categorical color legend, and interactive tooltips that display the species on hover. Built with D3 v4 using SVG, it also demonstrates the use of ordinal color scales, square-root size scaling, and filter-based shape encoding.

92% match

iris

This visualization displays the classic Iris flower dataset as a scatterplot, mapping sepal length and width to the x and y axes, petal length to point size, and species to color. The rendering uses D3 v4’s SVG output. Data loading relies on `d3.csv` for parsing the CSV file, while scales are built with `d3.scaleLinear`, `d3.scaleSqrt`, and `d3.scaleOrdinal`, plus axes from `d3.axisBottom` and `d3.axisLeft`. A categorical legend, built with circle elements, identifies the three species (setosa, versicolor, virginica), and a tooltip div is appended to the body but never made visible.

GGTHamonville

92% match

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

Iris scatterPlot

This scatter plot visualizes the classic Iris dataset, plotting sepal width against sepal length for three species of iris flowers. Each flower is represented as a small circle, color-coded by species (setosa, versicolor, virginica) using a categorical color scale, with a legend in the upper right. The visualization uses D3 v3 to render an SVG graphic, employing `d3.scale.linear()` for the x and y axes, `d3.svg.axis()` for the axes, and `d3.scale.category10()` for coloring the dots. The data is loaded asynchronously from a tab-separated values file via `d3.tsv()`.

CChmits

scatterplot_iris

This scatterplot visualizes the classic Iris dataset, mapping sepal length on the x-axis, sepal width on the y-axis, and encoding petal length via the radius of each circle. The chart is rendered as SVG circles using D3 v4, with the x and y axes scaled linearly and the color scale using d3.schemeCategory20 to distinguish the three iris species. Hovering over a point triggers a tooltip that displays the species name. A legend identifies the species by color, and axis labels indicate the measurements plotted.