Fork of Customizing Axes

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

Fork of Customizing Axes

This bar chart displays the populations of the top 10 most populous countries in 2018, using estimates from the United Nations World Population Prospects 2017. It demonstrates custom axes: the y-axis labels are simplified by removing tick lines and the domain, while the x-axis uses a custom tick format that abbreviates large numbers and converts 'G' to 'B'. The visualization is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, and renders as SVG.

Mmp7090

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

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

Fork of Customizing Axes

This bar chart visualizes the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Horizontal bars represent each country’s population, with a custom-styled axis and a labeled title. Built with D3 v5, the code uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a tick formatter that converts values to billions. The SVG rendering applies custom fonts, gridlines, and axis labels via CSS.

CCharlie Smith

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

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 2017. The visualization builds on a basic bar chart by customizing its axes, removing default domain lines and ticks for a cleaner look, and formatting population labels to abbreviate large numbers (e.g., using "B" for billions). It uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, with data loaded from a CSV file and rendered as SVG rectangles.

Eetiosa

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 chart employs D3's `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and customizes the axes with `axisBottom` and `axisLeft`. Tick labels are formatted using `format`, converting values to billions with a custom replacement. Data is loaded from a CSV file, and the SVG rendering includes styled tick lines, axis labels, and a title.

Ddagomezb