Iris Dataset Scatter Plot

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, plotting sepal and petal measurements against each other. Users select the axes from dropdown menus, and the points animate between configurations using D3 transitions. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for axes, `d3.axisLeft` and `d3.axisBottom` for ticks, and color-coded circles by species. The code also leverages D3’s data join pattern and transition methods to smoothly update the scatter plot when axis selections change.

SSharon Lin

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

Iris Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements. Three species are distinguished by color, with data points smoothly animating to new positions when the axis selection changes. The visualization uses D3 v5's `scaleLinear`, `axisBottom`, and `axisLeft` APIs to render the plot, alongside a custom dropdown menu system. The chart transitions circle positions using `transition().duration(1000)`, with SVG rendering for all graphical elements.

Sshialian

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 displays the classic Iris dataset, showing relationships between sepal and petal measurements across three iris species. Users can dynamically select which measurements to plot on the x- and y-axes through dropdown menus. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `axisBottom`, and `axisLeft` for axes, while data points transition smoothly via `transition().duration(1000)`. Each species is color-coded—red, green, or blue—and a legend identifies the classes.

Cchungmin-yu

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, plotting measurements like sepal and petal length against each other. Users select which features to compare via two dropdown menus, which triggers animated transitions as the circles move to their new positions. The visualization uses d3.csv to load data, d3.scaleLinear and d3.axisBottom/axisLeft to construct axes, and d3.transition for the 1-second animations, rendering points as SVG circles color-coded by iris species.

Xx112358

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