take2

100%

✓ Published0🌍 Public

Last edited Jan 27, 2021

Created on Jan 27, 2021

This scatterplot displays the likelihood of risk events against their qualitative severity scores, ranging from “minor” to “disastrous.” The y-axis uses a logarithmic scale to accommodate widely varying probability values. The chart is built with D3 v5, using `scaleBand` for the categorical x-axis and `scaleLog` for the numeric y-axis, with data loaded from a CSV file and rendered as SVG circles.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

sheet2

This scatterplot overlays two datasets on logarithmic and linear scales to visualize risk likelihood and impact. The first dataset (data.csv) is rendered as red circles connected by a line, while the second (data1.csv) is displayed as colored circles with a legend. The visualization uses custom margins, axis tick labels, and a color scale to differentiate severity levels, with a log-scaled y-axis for likelihood.

Aaleksstan96

80% match

Loading thumbnail…

connected scatterplot

A connected scatterplot maps likelihood and score from a CSV file, with points connected by a line to show their sequential relationship. The x-axis uses a linear scale for score, while the y-axis uses a logarithmic scale for likelihood, with custom tick labels for severity levels. Circles mark each data point, and a path generated by d3.line connects them. The visualization is built with D3 v5, using scaleLinear, scaleLog, axisBottom, axisLeft, and SVG rendering.

Aaleksstan96

77% match

Loading thumbnail…

Set

The visualization displays a qualitative risk matrix, plotting likelihood against a five-level impact scale. Severity data points, colored by category, are positioned on the chart, with a red diagonal line indicating a risk threshold. The visualization uses D3.js v5 for SVG rendering, employing `scaleLinear` and `scaleLog` for axes, and data loaded from two CSV files. Interactive features include downloadable PDF generation via jsPDF and selectable tooltip display modes (label, coordinates, or both).

Aaleksstan96

77% match

Loading thumbnail…

Fork of proba

This example plots likelihood against a categorical severity score, connecting points with a red line to show the relationship between probability and impact. The y-axis uses a logarithmic scale, while the x-axis displays custom score labels. Built with D3 v5, it loads CSV data and renders an SVG using `scaleLinear`, `scaleLog`, `axisBottom`, `axisLeft`, and a line generator. Red circles mark each data point, and the chart includes a title and rotated axis label.

Aaleksstan96

73% match

Loading thumbnail…

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

70% match

Loading thumbnail…

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

70% match

Loading thumbnail…

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

68% match

Loading thumbnail…

Qualitative color scale

A scatterplot displays six data points across three qualitative categories, using an ordinal color scale to distinguish category membership. The visualization employs d3.scaleOrdinal with d3.schemeCategory10 to assign colors to points, and includes a color legend generated via the d3-legend library. The code loads CSV data with d3.csv, converts string values to numbers, and renders circles and axes using SVG elements within a D3 v6 framework.

KKwasi Acquaye

68% match