Iris analysis

Iris analysis

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Dropdown menus let viewers select which measurements appear on the x- and y-axes, updating the plot dynamically. The SVG rendering uses d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.scaleOrdinal, with species colored in orange, teal, and purple. The dropDownMenu component, built with d3-selection, binds options to each select element. Axis labels, gridlines, and a color legend convey measurement units and categorical distinctions.

Ppeter6179

iris

This interactive scatter plot visualizes the Iris flower dataset, letting users select which measurements (sepal length/width, petal length/width) map to the x- and y-axes via dropdown menus. It colors each point by species (setosa, versicolor, virginica) using a d3.scaleOrdinal with red, blue, and green, and includes a legend. Built with D3 v5, the visualization renders as SVG with animated transitions that grow circles from a central point over two seconds. It uses d3.csv to load data, d3.scaleLinear for axes, and d3.axisLeft/axisBottom with gridlines.

Iianjwo

109550057_Iris Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements across three species: setosa, versicolor, and virginica. The visualization uses dropdown menus to dynamically select which measurement appears on the x- and y-axes, with each species distinguished by color and labeled in a legend. The code employs D3 v5’s `select`, `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load data, render SVG circles, and update the chart upon user selection. Data comes from the classic Iris dataset, presented as an SVG with semi-transparent points.

Jjasonlovechu

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing relationships between sepal and petal measurements for three flower classes. Users can dynamically select which measurement appears on each axis via dropdown menus, with points colored by species (setosa, versicolor, virginica). Built with D3 v5, the visualization uses d3.csv for data loading, scaleLinear for axis scaling, and axisBottom/axisLeft for rendering gridlines. The render function rebuilds the SVG scene on each axis change, updating scales and redrawing circles accordingly.

LLockingChiao

Iris Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, showing measurements of sepal and petal length and width across three species. Users can dynamically select which measurement appears on the x-axis and y-axis using dropdown menus. The visualization uses D3.js v5 with SVG rendering, employing `scaleLinear` for axes, `scaleOrdinal` for color mapping, and `axisBottom` and `axisLeft` for ticks. The data is loaded via `d3.csv` and rendered as semi-transparent circles colored by species class.

Cchungmin-yu

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, displaying the relationship between two user-selected attributes (sepal length, sepal width, petal length, or petal width) for three iris species. Circles represent individual flowers, color-coded by species, with dropdown menus allowing selection of which measurements appear on the x-axis and y-axis. Built with D3 v5, the visualization uses d3.csv, d3.scaleLinear, d3.scaleOrdinal, d3.axisLeft, and d3.axisBottom to render the SVG chart, complete with gridlines, axis labels, and a legend.

Cchungmin-yu

Iris scatter plot

This interactive scatter plot visualizes the Iris dataset, allowing exploration of relationships between sepal and petal measurements. Three Iris species are color-coded and rendered as semi-transparent circles using D3 v5’s scalable vector graphics. The plot uses `d3.select`, `d3.scaleLinear`, and `d3.extent` to map axes, while dropdown menus built with custom D3 selection logic let users dynamically choose which measurements appear on the X and Y axes.

TTsen Hsieh

Iris Scatter Plot

An interactive scatter plot visualizes the classic Iris dataset, mapping sepal and petal measurements to the x and y axes. The visualization offers two dropdown menus that let users change which flower attribute is displayed on each axis. The code uses D3 v5 to load the CSV data, create linear scales, and render SVG circles that transition to new positions with a one-second animation. Points are colored by iris species (setosa, versicolor, or virginica), with a legend and axis labels rendered via `d3.axisBottom` and `d3.axisLeft`.

Wwinniepooh520