Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Mar 30, 2023

Created on Mar 30, 2023

This bar chart displays the population 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 tick formatting, removal of axis lines, and addition of axis labels. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scales, and d3.axisLeft and d3.axisBottom with custom tick formatting that converts units from billions to millions. SVG rendering with CSS styling for fonts and colors is employed.

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…

Fork of 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 2017. The visualization highlights customized D3 axes: the left axis uses no domain or tick lines, while tick text is enlarged and colored. The code leverages d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render the SVG, with population values scaled by 1000 in the data loading step.

Kkaddindr

97% match

Loading thumbnail…

Fork of 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 D3 axes, including a modified tick format that converts values from billions to a readable form. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render the SVG chart, with custom styles for tick text, labels, and the title.

YYasara Peiris

97% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 v5 axes with d3.scaleLinear and d3.scaleBand, using d3.axisBottom and d3.axisLeft for tick formatting and gridlines. Bar widths correspond to population values, with labels styled via CSS classes. The chart is rendered as SVG, with data loaded from a CSV file and formatted using d3.format to abbreviate large numbers.

Rraghesh99

97% match

Loading thumbnail…

Fork of 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 builds on a basic bar chart example by demonstrating customized D3 axes. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisBottom with a custom tick format that converts values to abbreviated units like “B” for billions. The chart also removes default axis domains, adds custom axis labels, and styles text elements via CSS in an SVG rendering.

AAlexander Maina

97% match

Loading thumbnail…

Fork of 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 formatted tick labels that convert large numbers into abbreviated units and grid lines extending across the chart. It uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart, with data loaded from a CSV file. Styling for the chart, including font sizes and fill colors, is defined in an external stylesheet.

Dddan0

97% match

Loading thumbnail…

Fork of 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 2017. It demonstrates customizing D3 axes, including a formatted x-axis with tick marks that extend across the chart, a removed y-axis line and ticks, and styled labels and title. Built with d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, the chart loads data from a CSV file and renders as SVG.

Ssnehareddygurram

97% match

Loading thumbnail…

Fork of Fork of Fork of Customizing Axes

This bar chart visualizes the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. It shows how D3 axes can be customized, including removing domain lines, adjusting tick formats, and adding axis labels. The visualization uses d3.scaleLinear and d3.scaleBand to map population and country names, with d3.axisBottom and d3.axisLeft for the axes. Data is loaded via d3.csv, and tick labels are formatted using d3.format with abbreviations converted from billions to their original scale.

Ddankvader1

97% match

Loading thumbnail…

Fork of 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 highlights custom D3 v5 axis styling, including tick formatting that converts abbreviations (e.g., G to B), grid lines, and labeled axes. The visualization uses d3.scaleLinear and d3.scaleBand to map population and country names, with d3.axisBottom and d3.axisLeft for rendering. Data is loaded via d3.csv, and the SVG output is styled with custom CSS for fonts, colors, and margins.

Pprats-mh

97% match