Untitled

100%

✓ Published0🌍 Public

Last edited Mar 4, 2021

Created on Mar 4, 2021

This example uses a parallel coordinates chart to compare countries across multiple dimensions—population, surface area, and agricultural land percentage—over several decades. Grey background lines provide context, while steel blue foreground lines highlight the highlighted data points. Brushing on any axis filters the displayed lines, showing only those that meet the selected criteria. The visualization is built with D3 v3, using `d3.scale.ordinal` and `d3.scale.linear` for axes, `d3.svg.line` for paths, and `d3.svg.brush` for interactive filtering. Data is loaded from a CSV file.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Untitled

This parallel coordinates chart visualizes the cost-of-living index across 74 cities, comparing six dimensions such as consumer price, rent, groceries, and local purchasing power. Grey background paths show all cities, while blue foreground paths highlight those selected via interactive brush filters on each axis. Built with d3.svg, d3.scale.ordinal, and d3.svg.brush, the visualization uses SVG rendering. User interaction toggles the display of foreground lines based on brush extents, providing dynamic focus on subsets of the data.

Mmuzzheng

84% match

Loading thumbnail…

Untitled

This interactive scatterplot matrix visualizes an environmental dataset, with each cell showing the relationship between two variables such as age, income, and education. Users can brush across any axis to filter the data points, which hides or highlights circles across all cells simultaneously using a brush interaction implemented with `d3.brush`. The visualization is rendered as SVG using D3 v4 within a React framework, with axes scaled via `d3.scaleLinear` and colored by categorical country data. A legend identifies the three color-coded countries: China, Brazil, and USA.

Mmuzzheng

82% match

Loading thumbnail…

Parallel Coordinates

This parallel coordinates chart compares countries across multiple demographic dimensions, including happiness, environmental concern, and membership in groups like religious or professional organizations. Grey background lines show all data for context, while blue foreground lines can be filtered by brushing along an axis, which hides unrelated countries. Built with d3.v3, it uses d3.svg.brush and d3.svg.axis to support interactive dimension dragging and brushing. Data comes from the local total4.csv file, with most values normalized to a 0–100 scale.

OOhayouKaminari

81% match

Loading thumbnail…

Parallel Coordinates

This parallel coordinates chart uses color-coded polylines to display country-level survey data across multiple dimensions, including happiness, art/education, environmental concern, and organizational memberships. Built with D3.js v3, the visualization renders SVG paths for both background context (gray) and foreground focus (steel blue) lines. The code implements interactive brushing via `d3.svg.brush()` to filter data, and uses `d3.behavior.drag()` to allow users to reorder axes by dragging. Axis labels are mapped through `d3.scale.ordinal()` and `d3.scale.linear()`, with data loaded from the `total4.csv` file.

KKanwalNayan

80% match

Loading thumbnail…

Parallel Coordinates

This parallel coordinates plot uses gray background lines to show all countries and blue foreground lines for focus, with each axis representing a dimension from the total4.csv dataset (Happiness, Art/Educational, Environmental, and other membership categories). Users can drag axes to reorder dimensions via `d3.behavior.drag`, and brush along axes with `d3.svg.brush` to filter which lines remain visible. The code builds SVG paths with `d3.svg.line`, applies linear scales per dimension, and animates reordering using `transition`.

Cchungmin-yu

79% match

Loading thumbnail…

Untitled

This example visualizes population data for ten countries using a horizontal bar chart rendered with SVG. The chart maps population values to bar widths via a linear scale and country names to vertical positions using a band scale. The visualization is built with D3 v5 within a React framework, using `csv()` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to draw axes. The posted `line` element is also included.

Aamarendra-nichi

79% match

Loading thumbnail…

Untitled

This example visualizes the population of ten countries as a horizontal bar chart, using D3 v5 within a React framework. The bars are rendered as SVG rectangles, with country names on the y-axis and population values on the x-axis. It uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. The x-axis tick format abbreviates large numbers, and the chart includes a title and axis label.

Eedpmay

79% match

Loading thumbnail…

Parallel Coordinates

This parallel coordinates visualization displays survey data on happiness and organizational membership across multiple countries. Gray background lines provide context, while steel-blue foreground lines represent individual countries. Users can drag axes to reorder dimensions and brush along axes to filter the displayed countries. The implementation uses D3 v3 with `d3.svg.axis`, `d3.svg.line`, `d3.behavior.drag`, and `d3.svg.brush`, rendering the interactive chart as SVG with animated transitions during drag operations.

CCyc-Evelyn

79% match