Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published3🌍 Public
SShuyu Zheng
Last edited Jan 11, 2021
Created on Jan 11, 2021
Forked from Making a Bar Chart

This bar chart displays the 2018 populations of the top 10 most populous countries, using data from World Population Prospects 2017. It uses `d3.scaleLinear` and `d3.scaleBand` for positioning, with `d3.axisLeft` and `d3.axisBottom` for axes. The x-axis tick format converts numbers to abbreviated forms like “B” via `d3.format`, and grid lines are created by setting `tickSize` to the full chart height. Countries are ordered by population with bars rendered as SVG rectangles in steelblue.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in World Population Prospects 2017.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the World Population Prospects 2017. It uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the chart in SVG. Axes are customized by removing default domain lines, adding tick marks that span the full chart height, and formatting population values with `format('.3s')` to show billions. The y-axis labels are sorted by population, with a title and axis label styled via CSS.

IIan Perry
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It demonstrates customized D3 axes, using `d3.scaleLinear` for the population axis and `d3.scaleBand` for countries. The code applies custom tick formatting, removes domain lines, adds grid lines, and styles axis labels and titles via CSS. Data is loaded from a CSV file and rendered as SVG rectangles using D3 v5.

SShengjie-Sun
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with custom tick formatting that converts values to abbreviated labels like "B" for billions. The code customizes D3 axes by removing default domain lines, adding gridlines via tickSize, and styling axis labels, while the data is loaded from a CSV file and rendered as SVG rectangles.

Nnshedd
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It shows how D3 axes can be customized, including formatted tick labels that convert large numbers to abbreviated units and the removal of default axis lines. The chart uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom and d3.axisLeft for rendering. Data is loaded from a CSV file and rendered as SVG rectangles with steelblue fill.

MMichał Szumnarski
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, including a band scale for countries and a linear scale for population, with formatted tick labels that abbreviate numbers using the `.3s` format and replace 'G' with 'B'. Both axes have their domain lines and tick lines removed or restyled, with the y-axis labels and gridlines fully customized via CSS. The chart also adds a title and axis label, and draws steel-blue rectangles for each bar using D3's `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` APIs.

SSalha Saad
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects. It shows how D3 axes can be customized, including tick formatting that converts values to billions, tick lines that extend across the chart, and the removal of axis domains. The chart uses `d3.scaleLinear` and `d3.scaleBand` for scales, with axes created via `d3.axisBottom` and `d3.axisLeft`, and renders as SVG.

Qqazwsxedcrfv12345
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It shows how D3 axes can be customized by removing the y-axis domain line and ticks, and by formatting x-axis tick labels to abbreviate large numbers (e.g., converting "G" to "B" for billions). The chart uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft from D3 v5, with an SVG rendering. Data is loaded from a CSV file and displayed with steelblue bars, a title, and an axis label.

Yyukozome
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It builds on a basic bar chart by customizing the axes: the y-axis labels are kept while the domain and tick lines are removed, and the x-axis uses a linear scale with a custom tick format function, though currently it renders raw numbers. The chart employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft`, with an SVG rendering, and includes styled tick text, axis labels, and a title via CSS.

TTolldvis
94% match