Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Sep 8, 2024

Created on Sep 8, 2024

This bar chart shows the populations of the top 10 most populous countries, sourced from the 2017 United Nations World Population Prospects. It demonstrates d3.axisBottom and d3.axisLeft with custom tick formatting, using d3.format to abbreviate population values (e.g., converting “G” to “B”). The chart uses d3.scaleLinear and d3.scaleBand with margins, removing default axis domains and styling text via CSS, while rendering to 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 populations of the top 10 most populous countries in 2018, based on data from the United Nations World Population Prospects 2017. The chart uses d3.scaleLinear and d3.scaleBand to map population values and country names, while d3.axisBottom and d3.axisLeft render the axes, with axis labels and tick formatting applied via d3.format. Population values are loaded from a CSV, multiplied by 1000, and drawn as SVG rectangles.

Mmegshe

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 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

95% 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

95% 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

95% 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

95% match

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

95% match

Loading thumbnail…

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

95% match