Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Sep 18, 2023

Created on Sep 18, 2023

This bar chart visualizes the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization uses d3.scaleLinear and d3.scaleBand to map population values and country names, with d3.axisLeft and d3.axisBottom for custom axes, including tick formatting that converts billions to abbreviated labels. The SVG rendering applies custom margins, tick lines, and axis labels, with data loaded via d3.csv and population values multiplied by 1000.

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, 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 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 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 visualizes the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. It shows population values as horizontal bars ordered by country, with formatted axis labels (e.g., “1.41B”) and gridlines. The chart uses d3.scaleLinear and d3.scaleBand for axes, d3.axisBottom and d3.axisLeft to render ticks, and d3.format for tick labels. Data is loaded from a CSV file via d3.csv, and the chart is rendered as SVG.

Aadelgrosso

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 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

96% match

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, 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

96% 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

96% match