Marrnj2

@Marrnj2·5 public vizzes

Cars scatter

This scatterplot visualizes the relationship between vehicle weight and acceleration for a dataset of cars, rendering each car as a semi-transparent circle using SVG. The x-axis maps weight, the y-axis maps acceleration, with both axes scaled linearly and “niced” via D3’s `scaleLinear` and `extent`. The code uses D3 v5’s `csv`, `select`, `axisBottom`, and `axisLeft` to load data, append circles, and draw labeled ticks. Data comes from the auto-mpg CSV dataset, with axes customized for readability.

May 19, 2020

Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates. It highlights how D3 axes can be customized, including tick formatting, offset tick lines, and the removal of axis domains. The chart uses `d3.csv`, `scaleLinear`, `scalePoint`, `axisBottom`, `axisLeft`, and `format`, with population values multiplied by 1,000 and formatted in billions. Circles mark each country, and the axes include labeled ticks and a title, all rendered as SVG elements.

May 18, 2020

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of population data for ten countries, with customized axes. The y-axis displays country names using a band scale, while the x-axis uses a linear scale with tick labels formatted in abbreviated units (e.g., “1.42B”) via d3.format and a custom replace function. The chart is rendered as SVG using d3-scale, d3-axis, and d3-selection, with data loaded from a CSV file and styled through external CSS.

May 18, 2020

Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the ten most populous countries, with population values scaled to thousands. The visualization customizes both axes by removing default domain lines and tick marks, leaving only text labels for clarity. The chart is built with D3 v5, using scaleBand for the categorical country axis, scaleLinear for the population axis, and the axisBottom and axisLeft functions for rendering. Data is loaded from a CSV file and styled with CSS.

May 18, 2020

Loading thumbnail…

Responding to Resize

This example demonstrates how a D3.js SVG visualization can dynamically respond to browser window resizing. The code uses CSS to make the chart container fill the entire viewport, then extracts the container’s client dimensions to update the SVG’s width and height attributes. A redraw function redraws two thick green lines forming an X across the full width and height, using data joins and the window’s resize event listener. The visualization relies on d3.v5, SVG elements, and the clientWidth/clientHeight properties.

May 17, 2020