Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Jan 9, 2021

Created on Jan 9, 2021

This bar chart visualizes the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. It demonstrates customizing D3 axes, including horizontal grid lines, rotated tick labels, and a custom tick formatter that converts numbers into abbreviated units like “B”. The visualization uses d3.scaleLinear and d3.scaleBand for scaling, and d3.axisBottom and d3.axisLeft for axes, with SVG rendering.

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 shows 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, using scaleLinear and scaleBand to map data. The code applies axisBottom and axisLeft with custom tick formats and removes grid lines for a cleaner look, while styling text and rectangles via CSS.

VVighnesh Gawad

96% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, with horizontal gridlines and formatted tick labels that abbreviate large numbers (e.g., converting billions to "B"). Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG elements, loading data from a CSV file. The chart also includes a title and axis label with custom styling.

NNithish John Paull

96% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects, with population values multiplied by 1,000. The visualization demonstrates customized D3 axes in an SVG rendering, using `d3.scaleLinear` for population and `d3.scaleBand` for countries. The code employs `d3.axisBottom` with tick formatting that converts large numbers (e.g., G to B) and `d3.axisLeft` with grid lines, while styling axis labels, tick lines, and title text through CSS.

Aall-over-yet

96% 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. 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.

HHojjat Karami

96% 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

96% 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

96% 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 demonstrates axis customization, removing default axis lines and tick marks while styling remaining elements. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. The chart formats population values with a custom tick formatter that converts large numbers to abbreviated strings, and renders data as SVG rectangles with a steelblue fill.

Ddankvader1

96% 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

96% match