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Making a Bar graph

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PPraneeth Varma
Last edited May 7, 2020
Created on May 7, 2020
Forked from Making a Bar graph

This horizontal bar chart displays the ten most populous countries using data from a UN report. D3 version 5 loads the CSV and scales the population values by a thousand. The visualization uses `scaleLinear` for population, `scaleBand` for country names, and `axisBottom` with a custom tick formatter to convert units like G to B. SVG rectangles are positioned and sized according to the scales, with axis labels and a title styled via CSS.

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It is the data of top ten populous countries in the world, according to the report by UN

MIT Licensed

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Making a Bar graph

This horizontal bar chart displays the ten most populous countries using data from a UN report. D3 version 5 loads the CSV and scales the population values by a thousand. The visualization uses `scaleLinear` for population, `scaleBand` for country names, and `axisBottom` with a custom tick formatter to convert units like G to B. SVG rectangles are positioned and sized according to the scales, with axis labels and a title styled via CSS.

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Making a Bar graph

This horizontal bar chart displays the ten most populous countries using data from a UN report. D3 version 5 loads the CSV and scales the population values by a thousand. The visualization uses `scaleLinear` for population, `scaleBand` for country names, and `axisBottom` with a custom tick formatter to convert units like G to B. SVG rectangles are positioned and sized according to the scales, with axis labels and a title styled via CSS.

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Making a Bar graph

This example shows a horizontal bar chart of the ten most populous countries, with population values from a UN report. The code loads data from a CSV file, multiplies the raw population figures by 1000, and renders bars using SVG `rect` elements. It uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for the axes, with data loaded via `d3.csv`.

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Making a Bar graph

This bar chart displays the ten most populous countries in the world according to UN data, with horizontal bars ranked by population. The visualization uses D3 v5’s scaleLinear, scaleBand, axisBottom, and axisLeft to map population values to bar lengths and country names to rows. Population figures are formatted using the d3.format function with a custom replace for billions. The chart draws SVG rectangles with a steelblue fill, includes gridlines via tickSize, and labels the x-axis “Population.”

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Making a Bar graph

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Making a Bar graph

This example visualizes the top ten most populous countries using a bar chart built with SVG circles and D3.js. It displays population data from the UN, with each circle’s position encoding country and population size. The code uses `d3.csv` to load data, `scaleLinear` and `scalePoint` for scales, and `axisLeft` and `axisBottom` for axes. Population values are formatted with `d3.format`, and circle radii are fixed at 15 pixels.

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