Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published2🌍 Public
SSUPERMAN79355
Last edited Jul 3, 2020
Created on Jun 12, 2020

This bar chart displays the top 10 most COVID-infected countries, using 2018 population estimates from the United Nations World Population Prospects. The visualization uses d3.scaleLinear and d3.scaleBand to map case counts and country names, with d3.axisLeft and d3.axisBottom for custom axes. The code formats tick labels using d3.format, removes default axis lines, and appends custom text labels for the chart title and axis caption.

AI-generated description

This bar chart shows the population of the most populous countries. The data comes from the year 2018 estimate in United Nations : World Population Prospects 2017.

MIT Licensed

Similar vizzes

Loading thumbnail…

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 emphasizes custom axis styling, including formatted tick labels that abbreviate large numbers and horizontal grid lines extending across the plot area. The code uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, with data loaded via d3.csv. The SVG rendering also removes default domain lines and adds custom axis titles and a chart title with specific font and color styling.

Ccyanea1
90% match
Loading thumbnail…

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 uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with custom tick formatting that converts values to abbreviated labels like "B" for billions. The code customizes D3 axes by removing default domain lines, adding gridlines via tickSize, and styling axis labels, while the data is loaded from a CSV file and rendered as SVG rectangles.

Nnshedd
90% match
Loading thumbnail…

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 emphasizes customized axes, with a linear scale for population and a band scale for countries, both rendered as SVG. The code relies on D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, while formatting tick labels with `format`. Population values are multiplied by 1,000, and the chart includes a title and axis label, with grid lines created via custom tick sizing.

SSandyWu7179290504
90% match
Loading thumbnail…

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 uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with custom formatting via d3.format to abbreviate large numbers. Axis ticks are styled with d3.axisLeft and d3.axisBottom, while grid lines and axis labels are customized for clarity. The data is loaded from a CSV file using d3.csv and rendered as SVG rectangles.

Ddanrhymes
90% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, using population values multiplied by 1000. The visualization emphasizes customized axes: the left axis removes domain and tick lines, while the bottom axis uses a tick format that converts gigabytes to billions. Built with D3 v5, it employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart, with styled tick text, axis labels, and a title defined in CSS.

EErichOh
90% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, using population values multiplied by 1000. The visualization emphasizes customized axes: the left axis removes domain and tick lines, while the bottom axis uses a tick format that converts gigabytes to billions. Built with D3 v5, it employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart, with styled tick text, axis labels, and a title defined in CSS.

EErichOh
90% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 United Nations estimates. It uses d3.scaleBand and d3.scaleLinear to map countries and populations, with d3.axisLeft and d3.axisBottom for the axes. The code customizes the x-axis tick format with d3.format, removing axis domain lines and adding a custom population label. A title clarifies the chart’s purpose, and data is loaded from a CSV file.

AAnthony-coding
89% match
Loading thumbnail…

Customizing Axes

This visualization displays a bar chart of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart customizes D3 axes by removing default domain lines, adding custom tick formatting that converts values from giga to billions, and extending tick lines across the chart. The code uses d3.select, d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format to construct the SVG visualization, styling axis labels, titles, and ticks via CSS.

Ccwrobert1968
89% match