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Customizing Axes

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Ttracy3057
Last edited Jun 18, 2021
Created on Dec 15, 2020

This example shows the number of employed workers across various occupations in New York City for each year from 2010 to 2019. It uses a horizontal bar chart with customized axes, including a formatted x-axis using `d3.format` to abbreviate large numbers and a categorical y-axis. The visualization is interactive, allowing users to click year buttons to update the displayed data. Built with D3 v5, it uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to render the SVG, with data loaded from a string and animation via transitions.

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Customizing Axes

This interactive bar chart displays the number of employed people in New York City across 25 occupations, with buttons to switch between years from 2010 to 2019. The visualization uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis, with `d3.axisBottom` and `d3.axisLeft` for custom ticks and gridlines. Data comes from local CSV files, and user clicks trigger redrawing of rectangles with updated scales. The SVG rendering includes custom tick formatting with `d3.format` to abbreviate large numbers.

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Customizing Axes

This example shows how to customize axes in D3.js v5 by displaying the number of employed people across various occupations in New York City from 2010 to 2019. Users click year buttons to update the bar chart, which animates transitions between datasets using `transition.attr` and `transition.duration`. The code uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` with custom tick formatting via `format`. Data is loaded from CSV files, and the visualization renders as SVG rectangles with a steelblue fill.

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