Customizing Axes of Bar Chart w/ D3

100%

Customizing Axes of Bar Chart w/ D3

✓ Published1🌍 Public

Last edited Oct 14, 2021

Created on Oct 14, 2021

This bar chart visualizes the population of the top 10 most populous countries, using 2018 estimates from the UN’s World Population Prospects. The chart uses a linear scale for the population axis and a band scale for country names, with custom tick formatting that converts SI units (e.g., G to B). Population values are scaled by 1000. The D3 code removes default domain lines and tick marks, adds axis labels, and renders the bars in SVG.

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 Propsects 2017.

MIT Licensed

Similar vizzes

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 emphasizes axis customization, with large tick labels and styled axis lines. The code uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart. Population values are formatted from the CSV data, and the chart builds on a simpler bar chart example.

Bbart

95% 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 axes are customized through D3’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs, with tick formatting converting values to billions. The bottom axis includes a label and the chart is rendered as SVG, with bars drawn as `rect` elements. The code removes default axis lines and ticks, and the visualization omits the left axis line for a cleaner design.

JJacob van Lingen

95% 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 emphasizes customized axes, with a linear scale for population and a band scale for countries, both rendered as SVG. The code relies on D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, while formatting tick labels with `format`. Population values are multiplied by 1,000, and the chart includes a title and axis label, with grid lines created via custom tick sizing.

SSandyWu7179290504

95% match

Loading thumbnail…

Customizing Axes

This bar chart shows the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It customizes D3 v5 axes by removing domain lines, styling tick marks, and formatting population values with a `.3s` tick format that converts billions into “B”. The chart uses `d3.scaleLinear` and `d3.scaleBand` for scales, with `d3.axisLeft` and `d3.axisBottom` for rendering axes in SVG.

Ttonestar

95% 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 example focuses on customizing D3 axes, removing default domain lines and adding custom tick styling, axis labels, and a title. It uses `d3.scaleLinear` for the population axis and `d3.scaleBand` for countries, with `d3.axisBottom` and `d3.axisLeft` for rendering. The SVG output is styled via CSS, with tick lines in gray and large, muted text for readability.

Mmi-jjang

95% match

Loading thumbnail…

Customizing Axes

This bar chart visualizes the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The visualization demonstrates customized D3 axes: the left axis removes its domain and tick lines, while the bottom axis uses a custom tick format that abbreviates large numbers (converting 'G' to 'B' for billions) and extends tick lines across the chart. The code employs d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format, rendering as SVG with data loaded from a CSV file.

MMatthewJSonnen

95% 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 estimate. It demonstrates customized D3 axes: the y-axis removes domain lines and ticks for a cleaner look, while the x-axis formats population values with abbreviations (e.g., “B” for billions) and adds a descriptive axis label. The code uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format`, rendering as SVG.

Ccbruml

95% 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 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to customize axis ticks, formats, and grid lines. Population values are formatted in abbreviated units (e.g., billions) via `d3.format`. The SVG rendering highlights styling of tick labels, axis labels, and the chart title.

Ccharliemok

95% match