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Making a Bar Chart

✓ Published1🌍 Public
GGeolffrey S Mena
Last edited Aug 7, 2019
Created on Aug 7, 2019
Forked from Making a Bar Chart

This bar chart displays the population estimates for the top 10 most populous countries in 2019, sourced from the World Population Prospects. The visualization uses a linear scale for the x-axis and a band scale for the y-axis, with bars rendered as SVG rectangles. The code leverages D3 v5 modules like `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, including custom tick formatting that converts numbers to billions. Population values are parsed from a CSV file and multiplied by 1000 to reflect actual figures.

AI-generated description

This is a bar chart shows population of the top 10 most populous countries. The data comes from the year 2019 estimates in World Population Prospects 2019

MIT Licensed

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Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2019 estimates from the World Population Prospects. The visualization uses D3 v5 with d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render horizontal bars in SVG. Population values are multiplied by 1000 to reflect actual counts. The chart encodes country names on the y-axis and population on the x-axis, with steelblue rectangles representing each nation’s population.

GGeolffrey S Mena
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This bar chart displays the population of the top 10 most populous countries using 2019 estimates from the World Population Prospects. The visualization uses D3 v5 with d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render horizontal bars in SVG. Population values are multiplied by 1000 to reflect actual counts. The chart encodes country names on the y-axis and population on the x-axis, with steelblue rectangles representing each nation’s population.

GGeolffrey S Mena
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Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2019 estimates from the World Population Prospects. The visualization uses D3 v5 with d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render horizontal bars in SVG. Population values are multiplied by 1000 to reflect actual counts. The chart encodes country names on the y-axis and population on the x-axis, with steelblue rectangles representing each nation’s population.

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This example shows a bar chart of the top 10 most populous countries, based on 2019 estimates from World Population Prospects. The chart uses a vertical layout with country names on the y-axis and population values on the x-axis. The code builds the visualization with D3 v5, using `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render an SVG. Population data is loaded as CSV and scaled to thousands; bars are drawn as `rect` elements with a steelblue fill.

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This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from World Population Prospects 2017. The visualization loads data from a CSV file and renders it as an SVG, with the y-axis ordered by country name and the x-axis scaled linearly. The code uses D3 v5 modules including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to build the chart, apply margins, and add axis labels. Population values are converted from thousands to full counts, and the x-axis ticks use a custom formatter to abbreviate large numbers.

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