D3: Drawing with iris data

D3: Drawing with iris data

100% match

D3: Drawing with iris data

This example visualizes the classic Iris dataset as a scatter plot, showing sepal length against sepal width. Each data point is rendered as a distinct SVG symbol (triangle, cross, or star) and color-coded by species: red for setosa, orange for virginica, and blue for versicolor. The visualization also includes linear regression lines for each species, calculated using a custom `leastSquaresequation` function, to highlight trends within the groups. Built with D3 v4, the code uses `d3.scaleLinear`, `d3.symbol`, and `d3.axisBottom`/`d3.axisLeft` to construct axes and symbols, with data loaded from an external CSV file.

98% match

TP2

This example visualizes the classic Iris dataset, plotting sepal length against sepal width for three species of iris flowers. Each species is distinguished by a unique D3 symbol shape and color: crosses for setosa, stars for versicolor, and wye symbols for virginica. A green line overlays the scatterplot, representing a linear regression trend calculated from the data’s sepal dimensions. The visualization is built with D3 v4, using its SVG rendering, linear scales, axis generators, and symbol API to display the categorical data points.

AAlxClt

92% match

Mathilde_TD2

This visualization displays the classic Iris dataset, plotting sepal length against sepal width for three species of iris flowers. Each species is distinguished by a unique symbol and color (red triangles for setosa, orange crosses for virginica, and blue stars for versicolor) on an SVG scatterplot. The view also overlays a least-squares regression line for each species, computed from the plotted data. The visualization is built with D3 v4, using `d3.csv` for data loading, `d3.scaleLinear` for axes, and `d3.symbol` to define the custom point shapes.

Mathilde_TD2

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.

DDjokovalle

td3

This visualization displays two side-by-side scatterplots of the Iris dataset, plotting sepal length against sepal width. Each point is encoded with a symbol and color representing the flower species, while point size reflects petal length. Built with D3 v4, the code uses `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol` to generate distinct patterns for setosa, versicolor, and virginica. The SVG renderings are created by appending paths to separate chart divs, with scales computed from the CSV data using `d3.extent` and `d3.axisBottom`/`d3.axisLeft` for axes.

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