Fork of Making a Bar Chart

100%

Fork of Making a Bar Chart

✓ Published0🌍 Public

Last edited Dec 24, 2020

Created on Dec 24, 2020

This horizontal bar chart displays the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render an SVG, with axes customized by removing domain lines and formatting tick labels. Population values are multiplied by 1,000 and drawn as steelblue rectangles, while titles and axis labels are added as SVG text elements.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries, using 2018 population estimates from the United Nations’ World Population Prospects 2017. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the axes, with custom tick formatting that abbreviates large numbers. A title and axis label are also included, and the chart demonstrates customization of D3 axes by removing default domain lines.

WWilliam He

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, with data loaded from a CSV file. The chart features a custom tick formatter that converts large numbers to abbreviated units and includes axis labels and a title. The `svg` elements are rendered with a `steelblue` fill, demonstrating a basic D3 bar chart with customized axes and styling.

Ssohum42

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects 2017. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render an SVG chart with custom tick formatting that abbreviates large numbers. The horizontal bars are colored steelblue, with a title and axis label added via appended SVG text elements. Data is loaded from a CSV file and processed in JavaScript before being mapped to bar widths and y-axis positions.

MManue21

96% match

Loading thumbnail…

Fork of Making a Bar Chart

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 v5 with scaleLinear and scaleBand to map population values to bar widths and country names to vertical bands. Customized d3.axisBottom and axisLeft components include formatted tick labels that convert large numbers to abbreviated units, while the chart is rendered as SVG with a steelblue fill for each bar.

AAnis Ali

96% match

Loading thumbnail…

Fork of Making a Bar Chart

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 uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG visualization, with custom tick formatting converting values to billions. The chart removes axis domain lines and includes a title and x-axis label, styling bars in steelblue via CSS.

TtreasurehunterAP

96% match

Loading thumbnail…

Fork of Making a Bar Chart

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 chart renders as SVG, with bars colored steelblue and a title, axis labels, and gridlines produced using D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. The y-axis shows country names without ticks, and the x-axis uses a custom tick format that abbreviates large numbers with 'B' for billions.

Hhuizrh

96% match

Loading thumbnail…

Fork of Making a Bar Chart

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 v5 with an SVG rendering approach, employing `d3.csv` to load the data and `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` for the axes. Population values are formatted with `d3.format`, and custom axis labels and gridlines highlight the data.

CCrossZeigler

96% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart visualizes the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017, with population values scaled by 1,000. The chart orders countries by population, displaying each bar’s length proportionally to its population via d3.scaleLinear and d3.scaleBand for categorical y-axis positioning. Axes are customized with d3.axisLeft and d3.axisBottom, including a tick formatter that converts G to B for billions, and a title and axis label are added as SVG text elements. The visualization is rendered in SVG using d3.csv for data loading and d3.select to manipulate the DOM.

MMillie

96% match