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Making a Bar Chart

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Bbattlescarredshogun
Last edited Jan 28, 2020
Created on Jan 28, 2020
Forked from Making a Bar Chart

This bar chart displays the 2018 population estimates for the top 10 most populous countries, with data loaded from a local CSV file. Built with D3 v5, it uses `d3.csv`, `scaleLinear`, and `scaleBand` to map populations to bar lengths, while customizing `axisBottom` and `axisLeft` with tick formatting and removed gridlines. The chart’s SVG rendering includes a title, axis label, and steelblue bars, with a companion video tutorial explaining the construction process.

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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

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Making a Bar Chart

This bar chart displays the 2018 population estimates for the top 10 most populous countries, with data loaded from a local CSV file. Built with D3 v5, it uses `d3.csv`, `scaleLinear`, and `scaleBand` to map populations to bar lengths, while customizing `axisBottom` and `axisLeft` with tick formatting and removed gridlines. The chart’s SVG rendering includes a title, axis label, and steelblue bars, with a companion video tutorial explaining the construction process.

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Making a Bar Chart

This bar chart visualizes the populations of the top ten most populous countries, based on 2018 estimates from World Population Prospects 2017, with each bar’s length reflecting the population value. Using D3 v5, the code loads CSV data via `csv`, scales values with `scaleLinear` and `scaleBand`, and renders axes with `axisLeft` and `axisBottom`. The chart is drawn as an SVG, with bars styled in steelblue, and country labels positioned along the vertical axis.

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Making a Bar Chart

This example visualizes the 2018 population estimates of the ten most populous countries as horizontal bars. The chart uses D3 version 5.6, with an SVG canvas. The code employs D3's `scaleBand` and `scaleLinear` to map country names and population counts to y- and x-coordinates, respectively, while `axisLeft` renders the y-axis labels. Data is loaded asynchronously from a CSV file via `csv()` and parsed into numbers, with each bar’s length encoding the population value.

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Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries in 2018, using horizontal bars sorted by country name. The chart is rendered as an SVG using D3 v5, with `d3.scaleLinear` mapping population values to bar widths and `d3.scaleBand` positioning each country along the y-axis. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and data is loaded from a CSV file via `d3.csv`. Population values are multiplied by 1000 to reflect actual figures.

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Making a Bar Chart

This example visualizes the 2018 populations of the ten most populous countries as a horizontal bar chart, with each bar’s length proportional to its population and a custom axis labeling numbers in billions. Built with D3 v5, it loads data from a CSV file, uses `scaleLinear` and `scaleBand` to map values, and renders axes via `axisBottom` and `axisLeft`. The SVG output includes a title and axis label, with gridlines and styled steel-blue bars, while the axis tick format converts large numbers to a readable "B" suffix.

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Making a Bar Chart

This bar chart displays the 2018 population estimates for the top 10 most populous countries, based on data from the United Nations World Population Prospects. It uses D3 v5 with `d3.csv` and `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. The chart renders as an SVG, with axes generated via `d3.axisLeft` and `d3.axisBottom`, and rectangular bars colored steelblue. Population values are read from data.csv and multiplied by 1,000 to reflect actual counts.

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Making a Bar Chart

This bar chart displays the 2018 population estimates for the top 10 most populous countries, based on data from the United Nations World Population Prospects. It uses D3 v5 with `d3.csv` and `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. The chart renders as an SVG, with axes generated via `d3.axisLeft` and `d3.axisBottom`, and rectangular bars colored steelblue. Population values are read from data.csv and multiplied by 1,000 to reflect actual counts.

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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. It shows how D3 v5’s `scaleLinear` and `scaleBand` map population values to bar widths and country names to vertical positions, respectively. The chart renders as SVG rectangles with a steelblue fill, and axis customization is demonstrated through the use of `d3.axisBottom` and `d3.axisLeft`. Population data, stored in a CSV and loaded via `d3.csv`, is multiplied by 1000 for accuracy.

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