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Making a Bar Chart

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LLohithBlaze
Last edited Feb 11, 2019
Created on Feb 11, 2019

This bar chart displays the 2018 estimated populations of the world’s ten most populous countries, sourced from the UN’s World Population Prospects 2017. Using D3 v5, the visualization maps populations to rectangle widths via a linear scale and country names to vertical bands with a band scale. SVG rendering, with steelblue fills, presents the data directly from a CSV file parsed by D3’s CSV loader.

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.

MIT Licensed

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Making a Bar Chart

This example displays the populations of the world’s ten most populous countries as a horizontal bar chart, using 2018 estimates from the United Nations World Population Prospects. The chart is rendered as SVG, with bars encoded by a linear population scale and countries by a band scale. Built with D3 v6, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. Population values are multiplied by 1,000 to reflect actual figures, and bars are styled with a steelblue fill.

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This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017 data. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses the D3 v5 library, specifically the `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values to bar widths and country names to vertical bands. The chart includes labeled axes and bars filled with a steel blue color.

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Making a Bar Chart

This bar chart displays the 2018 population estimates for the ten most populous countries, sourced from the United Nations World Population Prospects 2017. The chart uses horizontal bars, with countries on the y-axis and population on the x-axis, rendered as an SVG. The visualization is built with D3 v5, employing `scaleLinear` and `scaleBand` for scales, and `axisLeft` and `axisBottom` to draw the axes. Data is loaded from a CSV file using D3’s `csv` function, and population values are multiplied by 1000 to reflect the actual figures.

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This example presents a horizontal bar chart of the population of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization encodes population with bar length and country names along the y-axis, rendered as SVG rectangles. Built with d3.v5, it loads data from a CSV file and uses d3.scaleLinear and d3.scaleBand for axes, with d3.axisLeft and d3.axisBottom for labels. The code applies a steelblue fill to the bars via CSS.

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This bar chart displays the populations of the ten most populous countries, based on 2018 United Nations estimates from the World Population Prospects. The data, loaded from a CSV file, is scaled using d3.scaleLinear for the horizontal axis and d3.scaleBand for the categorical vertical axis. The chart renders as SVG rectangles, with population values parsed from strings to numbers and multiplied by 1,000 before being mapped to bar widths. The visualization uses D3 v5, focusing on a clean, margin-less layout within a 960×500 SVG canvas.

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This bar chart displays the populations of the ten most populous countries, based on 2018 United Nations estimates from the World Population Prospects. The data, loaded from a CSV file, is scaled using d3.scaleLinear for the horizontal axis and d3.scaleBand for the categorical vertical axis. The chart renders as SVG rectangles, with population values parsed from strings to numbers and multiplied by 1,000 before being mapped to bar widths. The visualization uses D3 v5, focusing on a clean, margin-less layout within a 960×500 SVG canvas.

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