Solution

Solution

A stylized scatter plot displays sepal length against petal length for the Iris dataset, with each flower species colored distinctly via a custom legend. The chart uses D3 v4 to render SVG circles and axes, incorporating reusable functions for the color legend and a modular rendering pipeline. Axis ticks feature thick gray lines and large labels, while the legend and axis titles are styled with substantial fonts and muted colors, creating a clean, visually bold presentation.

93% match

Basic Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for 150 flowers. The code uses D3 v4 to create SVG circles, with axes customized via `d3.axisBottom` and `d3.axisLeft`, including negative tick sizes and padding. Data is loaded from a CSV file and parsed with a row function that converts measurements to numbers. Linear scales map the data domains to the plot dimensions, with a margin-based layout for the chart area.

91% match

Basic Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for 150 iris flowers. The code uses D3 v4 to create an SVG visualization, employing `d3.scaleLinear` for both axes and `d3.axisBottom` and `d3.axisLeft` to render the axes. The data is loaded from a CSV file using `d3.csv`. Each flower is represented as a circle, with its position determined by the scaled values of the two measured dimensions.

90% match

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length on the x-axis against petal length on the y-axis for 150 flowers. The scatter plot uses semi-transparent circular marks colored by species, with a categorical color legend generated via the d3-legend plugin. Built with D3 v4, the visualization employs d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.scaleOrdinal with schemeCategory10 for color mapping. The SVG render includes labeled axes and a legend, with data loaded from a CSV file.

90% match

Scatter Plot between Sepal Length and Petal Length

This visualization displays the classic Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis. Each circle represents an individual iris flower, colored by species to emphasize clustering patterns. Built with D3 v5, it uses `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.legendColor` to render axes and a color legend. The SVG is rendered at 960×500 pixels with margins tight enough to focus on data distribution, while tick lines and labels are styled with large fonts for readability.

GGaneshPenumarthi

Scatter Plot

This scatter plot visualizes the relationship between petal length and sepal length in the classic Iris dataset. The visualization uses D3 v7 to load CSV data, then applies `d3.scaleLinear` with `d3.extent` to map the data to screen coordinates, and renders circles as SVG elements with `d3.axisLeft` and `d3.axisBottom` for the axes. The plot fills the browser window, with a margin layout for the axes.

SShannon Teoh

Scatter Plot

This scatter plot visualizes the Iris Dataset, showing the relationship between sepal length and petal length for 150 flowers across three species. The visualization uses D3 v7 to render circles on an SVG canvas, with axes created using the imported axis functions. The code employs d3.scaleLinear for both x and y axes, and d3.extent to determine the data domains. Data is loaded asynchronously via fetch and parsed with d3.csvParse, converting string values to numbers for accurate positioning.

LLauren

scatter plot

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for scaling, and d3.axisLeft and d3.axisBottom for tick marks. The SVG circles are rendered pink, matching the chart’s background, with margins sized proportionally to the viewport. The code reads window dimensions and appends the chart directly to the body.

Jjmetzg11alpine