Stylised Bar Chart

Stylized Bar Chart

This stylized bar chart displays the populations of the ten most populous countries using data from the UN Population 2019 dataset. The visualization is built with React and rendered as SVG elements, with D3 v5 handling the scaling and formatting of the bars. The x-axis uses a linear scale with SI-formatted labels, while the y-axis employs a band scale for country names. The D3 `scaleBand` and `scaleLinear` APIs position the bars, styled with a teal fill and distinct tick marks, with tooltips showing the exact population values.

Vvangenned

Stylized Bar chart

This stylized bar chart displays the populations of the ten most populous countries in 2020, using horizontal bars sorted by country name. The visualization encodes population values through bar width, with a linear scale mapping populations up to the maximum value and a band scale positioning each country. Built with React and D3 v6, the chart renders as SVG, using components for axes and marks. Population data comes from the UN Population 2019 CSV, with values formatted in billions and styled with the Poppins font.

BbeauMarko

Stylized Bar Chart

This stylized bar chart displays the 10 most populous countries in 2020, using horizontal rectangles to compare population sizes. The visualization pairs React components with D3 utilities, including `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `csv` loading from a GitHub-hosted UN population dataset. The SVG render sets a teal fill for the marks, with formatted tick labels converting large numbers into abbreviated units like "Mn" and "Bn" for readability.

JJohn Jeevasaeyan

Stylized Bar Chart

This stylized bar chart displays the populations of the ten most populous countries using a horizontal layout with custom-styled axes and a teal color palette. The visualization loads UN population data from 2019 via a CSV file, then renders the chart as an SVG using React components and D3’s `scaleBand` for the categorical country axis and `scaleLinear` for the population scale. The bottom axis formats tick labels using D3’s `format` utility, converting large numbers from billions to abbreviated form, with tooltips provided by SVG `<title>` elements.

Jjwlam83

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population size. The visualization is built with React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via D3’s `csv` method. SVG rendering includes styled axes with tick lines, a population axis label, and tooltips using the native `<title>` element.

Mmb152

Stylized Bar Chart

This visualization presents a stylized horizontal bar chart ranking the ten most populous countries using data from the UN Population 2019 dataset. The bars are rendered as SVG rectangles via React, with length encoding each country’s 2020 population. The code uses d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and d3.format to abbreviate tick labels (e.g., converting billions to “B”). D3’s csv loader fetches the external CSV file, while the Marks component adds native tooltips showing the formatted population values.

EEFezerKW

Stylized bar chart

This example displays a horizontal bar chart ranking the ten most populous countries in 2020, with bars extending rightward from labeled country names. The visualization uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` handling layout and the `format` function abbreviating population values on the x-axis. Data is loaded via D3’s `csv` utility from a UN population dataset, and each bar includes a native SVG `<title>` element for tooltips.

DDeborah Ong

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population size from the United Nations World Population Prospects 2019 dataset. The visualization is built with React and D3 v5, rendering SVG elements through components like AxisBottom, AxisLeft, and Marks. D3’s `scaleBand` and `scaleLinear` position the bars and axes, while `csv` loads the data and `format` creates the abbreviated population labels, with a Poppins font and muted color palette for styling.

Sslt19933