Iris Scatter Plot

Iris Scatter Plot

This scatter plot visualizes the classic Iris dataset, plotting sepal length against sepal width for 150 flower samples. The code loads the data from a local CSV file and uses d3.csv, d3.scaleLinear, d3.axisBottom, and d3.axisLeft to construct the plot, which renders as red semi-transparent circles in an SVG. Each circle represents a single iris flower, and the chart includes labeled axes, a title, and grid lines created via tickSize. The dataset comes from the UCI Machine Learning Repository.

TThe-World-Muda

Iris Scatter Plot

This scatter plot visualizes the iris dataset, showing sepal length against sepal width for three flower species, with each species colored distinctly via a custom color legend. The visualization uses D3 v5 to load CSV data and build an SVG scene, employing `scaleLinear` for the axes, `scaleOrdinal` for color encoding, and `axisBottom`/`axisLeft` to render gridlines. Semi-transparent circles reveal overlapping points, while a reusable `colorLegend` module generates a categorical legend with labeled circles and a background rectangle.

YYunLing

Iris Scatter Plot

This scatter plot visualizes the Iris flower dataset, comparing sepal length to sepal width across three species encoded by color. The visualization uses D3 v7’s scaleLinear, axisBottom, and axisLeft to construct the chart, with an ordinal color scale for species classification. Rendered as SVG, it includes a manually drawn legend and gridlines, reading data from a local CSV file through d3.csv. The chart demonstrates ES6 module imports and loading D3 via UNPKG.

YYi-Qing

Iris Scatter Plot

This scatter plot visualizes the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with each of the three species distinguished by color. The visualization uses D3 v7's scaleLinear for positioning, scaleOrdinal for categorical coloring, and the axisBottom and axisLeft components to create labeled axes. A separate color legend, built with custom SVG elements, maps each species to a specific color using a switch statement. Data is loaded from a local CSV file and parsed with d3.csvParse before being rendered as circular marks.

Ffloraho401

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying measurements of sepal length, sepal width, petal length, and petal width across three iris species. Users can select which measurements appear on the x and y axes via dropdown menus, and the plot updates accordingly. The visualization uses d3.csv for data loading, d3.scaleLinear for axis scaling, and d3.scaleOrdinal with schemeCategory10 for species coloring. SVG circles represent individual data points, with axes rendered using d3.axisBottom and d3.axisLeft.

WWei-Che Chang

Iris Scatter Plot

This scatter plot visualizes the Iris dataset, showing sepal and petal measurements for three iris species. Users can select which measurement appears on the x- and y-axes via dropdown menus, with each species color-coded. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal for colors, and d3.axisBottom/axisLeft for gridlines. Data loads from a CSV file using d3.csv, and circles are rendered as SVG elements.

CChenLeah

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

scatter plot

This scatter plot visualizes the Iris Dataset, displaying sepal length on the x-axis and sepal width on the y-axis, with each point colored by species (Iris-setosa, Iris-versicolor, or Iris-virginica). The visualization uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles in an SVG. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and additional petal length and width values determine each circle’s radius properties. The plot fills the browser window, with styled tick labels and axis text.

DDineshK2602