Scatter Plot w. 1 Ordered Attribute

Scatter Plot w. 1 Ordered Attribute

This scatter plot displays the relationship between length and age for a dataset of 39 items, with points distributed across a linear scale on both axes. The visualization positions circles based on their numeric values for each attribute, using D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` to construct the coordinate system and gridlines. The code loads data from a remote CSV via `d3.csv`, parses numeric fields, and renders the chart as SVG within a React component, adding axis labels and a title to clarify the comparison.

81% match

Scatter Plot of Gender vs Length

This scatter plot shows the relationship between shark gender and length, revealing that male sharks tend to have a higher average length than females. The visualization uses d3.csv to load the data and renders circles positioned with d3.scalePoint for the categorical gender axis and d3.scaleLinear for the numerical length axis. SVG elements are drawn with d3.axisBottom and d3.axisLeft, including grid lines and custom tick formatting via d3.format.

76% match

Length vs Age scatter plot

This scatter plot displays the relationship between shark length and age, revealing no clear trend between the two variables. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `axisLeft`, and `axisBottom` to construct the axes. Circles representing individual data points are positioned using the `xScale` and `yScale` functions, with data loaded from a local CSV file. The chart includes labeled axes, a title, and a grid-like appearance created by tick lines extending across the plot area.

73% match

Scatter Plot

A simple scatter plot displays categorical labels on the vertical axis and numeric values on the horizontal axis, with circles sized at 18 pixels. The data comes from a CSV file, and the chart uses `d3.scaleLinear` for the x-axis and `d3.scalePoint` for the y-axis, with a tick format converting large numbers to abbreviated units. Axes are rendered via `d3.axisLeft` and `d3.axisBottom`, and the visualization is built using SVG elements selected through `d3.select`. The chart includes a title and axis labels styled via CSS.

CChocoOrange

Scatter Plot

A scatter plot displays individual data points positioned by two numeric variables, with each point rendered as a small circle. The visualization uses D3.js v6 and is built with a simple SVG container. The code applies the `d3.scaleLinear` function to map x- and y-values to pixel coordinates, then appends `circle` elements to the chart area. Axes are generated with `d3.axisBottom` and `d3.axisLeft`. The data is loaded from an external CSV file using `d3.csv`, and the plot updates dynamically once the data is parsed.

JJames Huang

Scatter Plot with Menus

This interactive scatter plot lets users explore relationships between numeric measurements—including Length, Eye Diameter, and Jaw—across different countries. Two dropdown menus dynamically select which columns appear on the x- and y-axes, triggering a re-render of the visualization. Built with D3.js v5, it uses the library's `select`, `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` APIs, along with custom dropdown and scatter plot modules. Circles animate into position using `transition().duration(2000).delay()`, while axis labels update to reflect the chosen variables. Data comes from a local CSV file.

Scatter Plot

This scatter plot visualizes the relationship between two numeric variables from a CSV dataset, plotting each point with x and y coordinates. It uses D3 version 6 with an SVG rendering approach, employing `d3.scaleLinear` to map the data domains to pixel ranges and `d3.axisBottom` and `d3.axisLeft` for the axes. Data is loaded asynchronously via `d3.csv`, and circles are appended and joined to the data using `.join('circle')`. The plot is styled with a teal fill and includes axis labels for "Numbers" and "Amount."

Bbugfree55