Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Sep 27, 2024

Created on Sep 27, 2024

This bar chart displays the population of the top 10 most populous countries using 2018 United Nations estimates from data.csv. It shows each country’s population as a horizontal bar, with a linear x-axis and banded y-axis. The example demonstrates D3 v5 axis customization via `axisLeft` and `axisBottom`, including custom tick formatting, labels, and styled tick lines. The visualization uses `scaleLinear`, `scaleBand`, and SVG rendering, with population values converted to thousands from the CSV data.

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. It shows each country’s total population as a horizontal bar, ordered by rank. The visualization customizes D3 axes by removing domain lines, adding tick marks that extend across the plotting area, and formatting tick labels with a `.3s` format to abbreviate large numbers. The code uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft, rendering in SVG with populations multiplied by 1000.

Aabdelrhmanelbrolsy@yahoo.com

96% match

Loading thumbnail…

Fork of Customizing Axes final (chart2)

This bar chart displays the population of the top 10 most populous countries in 2018, based on United Nations estimates. The visualization customizes D3 axes, using a linear scale for population and a band scale for country names, with formatted tick labels that convert values to billions. The chart includes a titled axis label, removes default axis domains and lines, and styles text, ticks, and rectangles via CSS. The code employs d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render the SVG.

AAbdouEnsaj

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. The visualization demonstrates axis customization, removing default axis lines and tick marks while styling remaining elements. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. The chart formats population values with a custom tick formatter that converts large numbers to abbreviated strings, and renders data as SVG rectangles with a steelblue fill.

Ddankvader1

95% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 United Nations World Population Prospects estimates. It shows a horizontal bar layout with country names on the y-axis and population values on the x-axis. The example demonstrates D3 v5 axis customization using `d3.axisBottom` and `d3.axisLeft`, with a formatted tick label that converts units from billions to millions. The code utilizes `d3.scaleLinear`, `d3.scaleBand`, and `d3.csv` to load the data, rendering the chart as SVG elements with custom styling for axes, labels, and the title.

SShalin Shah

95% 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, with population values shown in thousands. It demonstrates how to customize D3 axes using d3.axisLeft for the categorical country labels and d3.axisBottom for the quantitative population scale. The visualization uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and renders rectangles in an SVG, with data loaded from a CSV via d3.csv.

VVasanth-sureshkumar

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. 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

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. 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

95% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 United Nations estimates, with population values in thousands. It demonstrates custom axis styling and formatting using D3 v5, including tick labels with abbreviated numbers (e.g., "B" for billions), removed axis lines, and custom title and label text. The visualization uses d3.scaleLinear, d3.scaleBand, axisLeft, and axisBottom, while also enabling zoom functionality via d3.zoom on the SVG container.

Aaidatabaeva

95% match