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Making a Bar Chart

✓ Published26🌍 Public
Mmorjyooo
Last edited May 17, 2021
Created on Aug 19, 2020

This bar chart visualizes the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 to create an SVG with linear and band scales, displaying horizontal bars labeled by country. The chart’s axes are generated with `axisLeft` and `axisBottom`, while data is loaded from a CSV file and rendered as `rect` elements filled with steelblue, with a title added as a text element.

AI-generated description

This bar chart shows population of 10 most populos countris.The data comes from the year 2018 estimate in United Nations:World Population Prospects 2017.

MIT Licensed

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Making a Bar Chart

This bar chart displays the populations of the ten most populous countries in 2018, with data from the United Nations World Population Prospects 2017. The chart uses D3 v5’s `csv` loader to parse the data, then applies `scaleLinear` for the population axis and `scaleBand` for the country axis, rendering bars as SVG rectangles. Axes are added via `axisLeft` and `axisBottom`, and each country’s population value is multiplied by 1,000 to reflect actual figures. The visualization is styled with steel-blue bars and a clean white background.

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This bar chart displays the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 with SVG rendering, scaling linear axes for population and band scales for country names. The code customizes the axes by removing domain lines, formatting tick labels with `d3.format` to abbreviate billions, and adding axis labels and a title. Data is loaded asynchronously from a CSV file using `d3.csv`.

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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’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to position bars and render axes. Axes are customized with tick removal and abbreviated population labels via `format('.3s')`. The data is loaded as CSV and rendered as SVG rectangles with a steelblue fill.

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This example presents a horizontal bar chart of the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load a CSV file with `d3.csv`, then scales the data with `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements. Population values are multiplied by 1,000 before rendering.

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