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Making a Bar Chart

✓ Published1🌍 Public
JjimacDS
Last edited Jun 16, 2020
Created on Jun 15, 2020

A horizontal bar chart ranks the ten most populous countries using a CSV data source. The visualization applies a linear scale for population and a band scale for country names, rendering bars as SVG rectangles filled with steelblue. Built with D3 v5, the code loads data via `d3.csv`, computes scales with `scaleLinear` and `scaleBand`, and displays axes using `axisLeft` and `axisBottom`.

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MIT Licensed

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Making a Bar Chart

This visualization displays a horizontal bar chart ranking the top ten most populous countries, with population values on the x-axis and country names on the y-axis. The bars render in steel blue, and the chart includes formatted axis labels and a title. Built with D3 v5, the code uses `d3.csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes, with SVG as the rendering target. Population data from the CSV is multiplied by 1000 for display.

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Making a Bar Chart

A horizontal bar chart displays the population of the ten most populous countries, using data from a CSV file. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis population values and `scaleBand` for the categorical y-axis countries. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements with a steelblue fill and black stroke.

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This horizontal bar chart displays the population of the ten most populous countries, with bars representing each nation’s total population. It uses D3 v5’s `scaleLinear` and `scaleBand` to map population values to bar widths and country names to vertical positions, while `axisLeft` and `axisBottom` render the axes. The chart reads from a CSV file, reformats tick labels using `format`, and renders as SVG with steel-blue bars and custom margin-based layout.

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