Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published2🌍 Public
SSophia Murage
Last edited Apr 2, 2020
Created on Mar 30, 2020

This visualization displays the populations of nine countries as horizontal bars, from China at the top to Russia at the bottom. The chart uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom with a custom tick format that abbreviates numbers. The code loads CSV data using d3.csv, renders SVG rectangles, and customizes axis labels, tick lines, and removes default axis domains for a cleaner look.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the populations of ten countries, with bars ranked from China down to Mexico. The visualization focuses on axis customization: a band scale positions country labels on the y-axis, while a linear scale maps population values to bar lengths on the x-axis. Rendered as SVG using d3.scaleLinear, d3.scaleBand, axisLeft, and axisBottom, the chart loads population data from a CSV file and multiplies each value by 1000 to reflect actual population counts.

Wwsupko
90% match
Loading thumbnail…

Customizing Axes

This horizontal bar chart displays the populations of ten countries, with bars sorted by value and customized axes. The chart uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft plus d3.axisBottom for ticks. Axis customization includes removing domain lines, adding gridlines via tickSize, and formatting tick labels with d3.format to abbreviate values (e.g., converting G to B). A title and axis label are appended as SVG text elements.

Mmagua
90% match
Loading thumbnail…

Customizing Axes - 072119

A horizontal bar chart displays the populations of the top ten most populous countries, with values scaled in thousands and formatted with custom ticks (e.g., "1.41B" for China). It uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisBottom and d3.axisLeft for axes. The chart removes default axis domains, adds gridlines via tickSize, and includes custom axis and title labels. Data is rendered as SVG rectangles with steelblue fill.

Sshallowater
89% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, with data loaded from a CSV file and rendered as SVG. The visualization customizes both axes by removing domain lines and tick lines from the categorical y-axis, while the linear x-axis uses a tick format that abbreviates large numbers and converts 'G' to 'B' for billions. It employs d3.csv, scaleLinear, scaleBand, axisLeft, and axisBottom, with gridlines generated via tickSize on the x-axis.

Rrainyrainyguo
89% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the ten most populous countries, with populations scaled in thousands from a CSV file. The chart uses D3 v5 to build linear and band scales and axis generators, then customizes the axes by removing domain lines and default grid lines, adding a rotated x-axis label, and formatting tick labels to abbreviate large numbers (e.g., "1.42B"). The SVG rendering includes a title and styled tick marks, axis labels, and bars in steel blue.

PPioustu
89% match
Loading thumbnail…

Customizing Axes

This horizontal bar chart shows the populations of nine countries, ordered by country name and scaled linearly by population. The example demonstrates how to customize axis ticks, converting the default numeric labels from billions to abbreviated values with the suffix 'B'. Built with D3 v5, the code uses `d3.scaleBand` and `d3.scaleLinear` to map data, and `d3.axisLeft` and `d3.axisBottom` to render the axes. The `axisBottom` is formatted using `d3.format` with a custom replacement to display values in billions. The data is loaded from a CSV file and rendered in an SVG.

LLonwabo11
89% match
Loading thumbnail…

Customizing Axes

This visualization displays a horizontal bar chart ranking the top 10 countries by population, using a custom-tuned axis to improve readability. The code uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom with a custom tick formatter that converts large numbers into abbreviated units like "B" for billions. Data loads from a CSV file via d3.csv, with population values multiplied by 1000. The chart also includes gridlines, a title, and styled sans-serif text.

Nnkrpyate
89% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the populations of the ten most populous countries, with population values transformed from raw numbers into abbreviated labels like "1.42B" using d3.format. The chart uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with custom tick formatting and axis labels applied via d3.axisBottom and d3.axisLeft. Data comes from a CSV file, rendered as SVG rectangles with gridlines and a title, all styled through external CSS.

Rruubi0807@gmail.com
89% match