LearningScatterPlot

Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, showing measurements like sepal length and petal width while color-coding points by species. Users can select which attribute maps to the X and Y axes using dropdown menus. The visualization uses D3 v5 with SVG rendering and animated transitions, employing `scaleLinear`, `axisBottom`, `axisLeft`, and `transition().duration()` to smoothly reposition circles when axes change.

Mminson

Iris Scatter Plot

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two of the four flower measurements (sepal length/width, petal length/width) by selecting them from dropdown menus. Each of the 150 data points is rendered as a colored circle, with hue indicating one of three Iris species. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` for axes, while `transition().duration().delay().attr()` animates the circles smoothly to their new positions when the axis selection changes. The legend and axis dropdowns are placed beside the plot.

Mmagua

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 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

This interactive scatter plot visualizes the Iris dataset, showing the distribution of three iris species across four measurable attributes (sepal and petal length/width). Users can dynamically swap the variables assigned to the x- and y-axes via dropdown menus, with each species colored using a categorical scale. The visualization is built with D3 v5, using `d3.scaleLinear` for axes, `d3.legendColor` for the legend, and SVG rendering for the circles and grid lines. The plot updates by re-rendering the entire SVG when a new axis selection is made.

Iimsohandsome123

Scatter Plot with Species

This scatter plot visualizes the Iris Dataset, allowing interactive exploration of relationships between sepal and petal measurements. Users select quantitative or categorical variables for the X and Y axes via dropdown menus. The visualization uses D3 v6 with `scaleLinear` and `scalePoint` for axes, and `selection.join` with transitions to animate point movement and axis updates. Points grow from radius zero on initial render, and staggered delays create a cascading effect when data changes.

MMichael Bergerson

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, displaying measurements of sepal and petal length and width for three Iris species. Users can dynamically select which measurements appear on the x- and y-axes via dropdown menus, with points colored by species and a legend provided. The visualization is built with D3 v5, using `d3.csv` to load the data and `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to render scales and axes as SVG elements.

Yyptang5488

Iris Scatter Plot

This interactive scatter plot displays the Iris dataset, showing measurements of sepal and petal length and width. Users can select which measurement appears on the x-axis and y-axis via dropdown menus. The visualization uses d3.scaleLinear for axis scaling and d3.axisLeft and d3.axisBottom for axes, with circles animated via transition().duration() and delay(). Colors are assigned to species using d3.scaleOrdinal with a manual color range, and a legend is drawn with SVG rectangles and text. Data loads from a CSV URL, and rendering uses SVG with 2-second animated transitions.

Wwaterm80