Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited Apr 14, 2020

Created on Apr 14, 2020

This bar chart displays the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. It demonstrates customized D3 axes, including a bottom axis with abbreviated tick labels (converting billions to “B”) and a left axis with removed domain and tick lines. The code uses D3 v5 APIs such as `csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, rendering SVG elements inside a fixed-width viewport. Custom tick formatting and axis label styling are applied via the `format` module and CSS.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

See also the first bar chart visualization that this one builds on: Making a Bar Chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This bar chart visualizes the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It shows customized D3 axes, including formatted tick labels that convert billions to an abbreviated form. Built with D3 v5, the chart uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG, with custom tick formatting, removed axis lines, and added axis labels and title. The data is loaded from a CSV file.

NNameeeee

97% 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 highlights customized axes, with D3’s `axisBottom` and `axisLeft` used to render tick marks and labels, while `scaleLinear` and `scaleBand` map population and country values. Tick labels are formatted with `format('.3s')` to abbreviate numbers, replacing 'G' with 'B' for billions. The SVG chart removes default axis domains and lines, adds an axis label, and styles text and rectangles via CSS.

NNirjan Khadka

97% 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 highlights customized D3 axes, including a bottom axis with abbreviated tick labels (e.g., "B" for billions) and a removed left axis domain and tick lines. The visualization uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft to render SVG elements. Data is loaded from a CSV file, and CSS styles define the tick, label, and title appearance.

LLonwabo11

97% 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

97% 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

97% 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 focuses on customizing D3 axes, including a left axis with removed ticks and domain, and a bottom axis with tick labels formatted in abbreviated units (e.g., "1.4B" for billions). The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format to render SVG elements, with custom tick sizes, label text, and styling for improved readability.

SSimon Fei

97% 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 chart customizes its axes by removing default domain lines and tick marks, applying a custom tick format that abbreviates large numbers (e.g., converting billions to "B"), and adding descriptive axis labels. Built with d3.v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG, with data loaded from a CSV file.

Ddtdenver

97% 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 chart demonstrates customized D3 v5 axes, including a formatted population axis with tick labels converted from gig to billion and a clean left axis with grid lines removed. Built with SVG, it uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft to render the data from a CSV file.

Ttonestar

96% match