Making a Bar Chart

100%

Making a Bar Chart

✓ Published1🌍 Public

Last edited Aug 2, 2020

Created on Aug 2, 2020

This bar chart visualizes the population of the top 10 most populous countries, using data from a 2018 United Nations estimate. The chart displays horizontal bars, with the population value on the x-axis and country names on the y-axis. The visualization is built with D3.js (version 5), using functions like `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`. The code also demonstrates axis customization by removing default domain lines and tick lines, and by applying a custom tick format that converts numbers to a more readable form. The chart is rendered as an SVG, and the accompanying code includes a link to a video tutorial explaining the process.

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…

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 SVG rendering, employing `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and custom `axisBottom` and `axisLeft` configurations. Population values are formatted with `format('.3s')` and converted from thousands. A linked video tutorial accompanies the example, which also demonstrates axis customization techniques such as removing domain lines and adding axis labels.

MMegha Singhania

95% match

Loading thumbnail…

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 chart uses D3 v5 with an SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. Customized `d3.axisLeft` and `d3.axisBottom` remove domain lines, add gridlines, and format tick labels using `d3.format`. Data is loaded from a local CSV file and scaled to show thousands.

Sshehryar-hashir

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries based on 2018 United Nations estimates, with countries listed on the y-axis and horizontal bars sized by population. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the axes, with tick labels formatted using `format('.3s')`. Population values from the CSV file are multiplied by 1,000 before scaling. The SVG rendering includes custom axis styling, removed domain lines, and labeled axes for population and the chart title.

Bbilal

95% match

Loading thumbnail…

Making a Bar Chart

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 uses D3 v5 with SVG rendering, scaling population values linearly and countries along a band scale. Axes are customized using `d3.axisLeft` and `d3.axisBottom`, with tick labels formatted via `d3.format` to abbreviate large numbers, replacing "G" with "B". The chart also includes a title and axis label, demonstrating basic bar chart construction with D3’s data-join and margin conventions.

Iimpadc97

95% match

Loading thumbnail…

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 visualization uses D3 v5 scales, axes, and SVG rendering, with a linear scale for population and a band scale for countries. The code imports specific D3 functions including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and customizes the x-axis tick format using the `format` helper to abbreviate numbers with suffixes. Data is loaded from a local CSV file, and the chart includes a title and axis label.

KKelsey Law

95% match

Loading thumbnail…

Making a bar chart

This horizontal bar chart visualizes the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The chart displays population values on the x-axis with a custom tick format that abbreviates large numbers (e.g., “1.42B”) and country names on the y-axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs, with bars rendered as SVG `rect` elements. Data is loaded from a local CSV file, and axes are customized by removing domain lines and adding axis labels.

JJL10897

95% match

Loading thumbnail…

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. It shows each country’s population as a horizontal bar, with formatted axis labels (e.g., converting thousands to billions) and gridlines. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the chart, rendering via SVG. The axis tick format is customized by replacing ‘G’ with ‘B’ in D3’s compact notation.

IIrtaza

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates. The visualization orders countries along a vertical band scale with horizontal bars representing population values, using a linear scale. Customized axes include abbreviated tick labels (e.g., “B” for billions) and grid lines. The code uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft within D3 v5, rendering as SVG with styling from an external stylesheet.

Zztawil

95% match