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Fork of Custumizing Axes

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Iilsan142
Last edited Nov 7, 2022
Created on Nov 7, 2022
Forked from Custumizing Axes

This horizontal bar chart shows the population of the top 10 most populous countries, based on 2018 estimates from World Population Prospects 2017, with China and India leading. Using D3 v7, the visualization applies `scaleLinear` and `scaleBand` to map population values and country names, rendering bars as SVG rectangles. The chart calls `axisLeft` and `axisBottom` to display the categorical and quantitative scales, with data loaded from a CSV file via `d3.csv`.

AI-generated description

This bar chart shows popilation of the top 10 most poplous countries. the data comes from the year 2018 estimate in World Population Prospects 2017.

MIT Licensed

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Custumizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the World Population Prospects 2017 data. The chart renders with D3 v7 in SVG, using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. It customizes tick formatting with a custom function that abbreviates numbers using `format('.3s')` and replaces 'G' with 'B', while removing axis lines and gridlines via `.tickSize` and `.select('.domain').remove()`. Population values are multiplied by 1,000 from the CSV data.

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