Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Mar 22, 2023

Created on Mar 22, 2023

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.

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. 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

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. 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, 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 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

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 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

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 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

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