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Making a Bar Chart

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MMrG113
Last edited Aug 10, 2019
Created on Aug 10, 2019
Forked from Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries based on 2019 data from the World Population Prospects. The visualization uses D3 v5’s `csv` method to load the dataset and renders rectangular bars in SVG with a steelblue fill. The axes, styled with tick labels and an axis label, are generated using D3’s default scale and axis functions. The chart includes a title element and uses the Ubuntu font from Google Fonts for consistent typography.

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 from 2019 estimates in World Population Prospects. The visualization uses D3 v5 with SVG rendering and shows population values for each nation. The code reads data from a CSV file using d3.csv, then maps country names to rectangular bars with steelblue fill. The chart includes axes with labeled ticks, a title, and an axis label, all styled with the Ubuntu font.

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This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the World Population Prospects 2017. The visualization uses an SVG rendering with D3 v5, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, along with `d3.axisLeft` and `d3.axisBottom` to render the axes. Data is loaded from a CSV file using `d3.csv` and displayed as steel-blue rectangles.

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This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the World Population Prospects 2017. The visualization uses an SVG rendering with D3 v5, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, along with `d3.axisLeft` and `d3.axisBottom` to render the axes. Data is loaded from a CSV file using `d3.csv` and displayed as steel-blue rectangles.

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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.

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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.

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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.

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Loading thumbnail…

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This visualization displays the populations of the ten most populous countries, based on 2019 estimates from World Population Prospects. The chart is rendered as SVG, with each country’s population represented by a vertical bar of proportional height. The code uses D3 v5 modules, specifically the `select` API to manipulate the DOM, and scales and axes are constructed to position bars and label ticks. Data is loaded from a local CSV file, and styling is applied via external CSS, including a custom font and steelblue bar fill.

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