Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Nov 24, 2021

Created on Nov 24, 2021

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 D3 axes, including formatted tick labels that convert values to billions and styled tick lines. Built with D3 v5, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for positioning, and `axisBottom` and `axisLeft` for rendering axes. The SVG rendering includes custom labels for the title and x-axis, with styling applied via external CSS.

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, 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

98% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, with horizontal gridlines and formatted tick labels that abbreviate large numbers (e.g., converting billions to "B"). Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG elements, loading data from a CSV file. The chart also includes a title and axis label with custom styling.

NNithish John Paull

98% match

Loading thumbnail…

Fork of 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 demonstrates customized D3 axes, featuring a horizontal bar chart rendered with SVG. The code uses D3 v5 utilities such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the plot, with custom tick formatting that converts billions into a readable format. The chart includes styled gridlines, axis labels, and a title, with data loaded from a CSV file.

UUpamanyu-ml

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 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

97% 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. The visualization highlights customized D3 v5 axes, including formatted tick labels that abbreviate large numbers (e.g., converting billions to "B") and gridlines created via tick sizing. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart, with data loaded from a local CSV file. Styling is applied through external CSS for text and rectangle elements.

Mmayuri-gosapphire

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 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. 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 visualizes the populations of the top ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart demonstrates customized axes, including formatted tick labels that convert large numbers to billions via `d3.format`, and colored reference gridlines. Built with D3 v5, the visualization uses `d3.scaleLinear` and `d3.scaleBand` for scaling, and `d3.axisBottom` and `d3.axisLeft` for axes. The data is loaded from a CSV file and rendered as SVG rectangles.

LLulu

97% match