Fork of Customizing Axes

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, with data from the 2018 United Nations World Population Prospects estimate. The visualization demonstrates customized D3 axes, including a formatted x-axis that converts values to billions and a y-axis with removed domain and tick lines. Built with d3.v5, the chart uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` APIs, rendering via SVG. Bar widths are mapped to population values, and the chart includes a title and axis label with custom styling from the included CSS.

HHojjat Karami

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using data from the 2017 United Nations World Population Prospects. It shows how D3 axes can be customized, including tick formatting (converting billions to "B"), removal of domain lines, and styled tick labels. Using D3 v5, the visualization employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. Axes are further enhanced with custom text elements for the title and axis label, while the bars are rendered as SVG rectangles.

RRadu Popescu

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 axes by removing domain lines, styling tick marks and labels, and adding a custom x-axis label and title. Using D3’s `scaleLinear` and `scaleBand`, the chart maps population values to bar widths and country names to vertical positions, with axis tick labels formatted using `format('.3s')` and converted from billions to a shorter notation. The SVG rendering includes styled grid lines and text elements via CSS.

Ddok0086m

Fork of Customizing Axes

Ddok0086m

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 population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates custom axis styling with D3.js v5, including formatted tick labels (converting G to B for billions), removed domain lines, and styled tick marks. It uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` with a custom tick formatter via `d3.format`. The SVG rendering includes a title and axis label, with country names on the left.

DDINESH SAI BOPPANA

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 uses D3 v5, with scales from `d3.scaleLinear` and `d3.scaleBand` to map population values and country names. Customized axes are drawn using `d3.axisBottom` and `d3.axisLeft`, with tick formatting that converts values to billions. The chart is rendered as SVG, with styled tick marks, gridlines, and labels defined in CSS.

AAchrafHNAKA911

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