Stylized Bar Chart

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 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

Stylised Bar Chart

This stylized bar chart displays the populations of the ten most populous countries for 2020, using horizontal bars sorted by country name. The visualization pairs D3 v7 utilities for data loading and scaling with React components for rendering SVG elements. D3’s `csv` fetches the UN population data, while `scaleBand` and `scaleLinear` position the bars on the y- and x-axes. React manages the loading state, displaying “Loading...” until the data arrives, then renders each bar as an SVG `<rect>`.

Bbsolomon103

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 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 bar chart displays the ten most populous countries, with each bar representing a country’s population. The visualization uses React to render SVG elements, leveraging d3-scale functions like `scaleBand` and `scaleLinear` to position bars and axes. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. The chart applies a custom Poppins font, teal bar fills, and formatted tick labels that convert values from gigabytes to billions.

JJane Wang

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries for 2020, ordered along the y-axis with horizontal bars scaled by population counts. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning, while d3.csv loads United Nations population data. The chart includes styled axes, a "Population" label, and hover tooltips via SVG `<title>` elements.

DDean Bozic

Stylized Bar Chart

This stylized bar chart ranks the ten most populous countries, using horizontal bars to compare population counts. Built with React and rendered as SVG, it employs D3's `scaleBand` for the categorical y-axis and `scaleLinear` for the population x-axis. Axes, marks, and labels are composed from reusable components, with data sourced from the UN’s 2019 World Population Prospects. The chart omits gridlines on the left, using light tick marks and Poppins typography for a clean, modern aesthetic.

Ee-ines