Stylised Bar Chart

Stylized Bar Chart

This stylized bar chart displays the top ten countries by population in 2020, with horizontal bars sorted by country name. The visualization uses D3.js scaling functions and React components to render SVG rectangles, axes, and tick labels. Data is loaded asynchronously via the `d3.csv` utility from a GitHub-hosted CSV file, and tooltips show formatted population values using `d3.format`. The chart’s aesthetic is enhanced with the Poppins font and a custom color palette applied to marks and gridlines.

Kkbrookshire420

Stylized Bar Chart

This stylized bar chart displays the population of the top 10 countries in 2019, using horizontal bars rendered as SVG rectangles within a React component. The chart employs D3 v7's `scaleBand` and `scaleLinear` for positioning, with data fetched from a CSV URL via `d3.csv`. The design includes a Poppins font, custom tick styling with a muted color palette, and tooltips showing population values formatted with `d3.format`.

Aahora

Stylized Bar Chart

This stylized bar chart displays the top 10 countries by population using D3.js v7 within a React application, rendered as SVG. The horizontal bars are colored teal with a Poppins font, and the chart includes labeled axes with formatted tick values that convert large numbers to abbreviated units (e.g., "B" for billions). The data comes from a UN Population 2019 CSV file, loaded with d3.csv. The visualization uses scaleBand for the y-axis, scaleLinear for the x-axis, and native SVG elements with React components for the axes and marks.

Mmbooch22

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries, with each bar's length proportional to population size. Built using React and D3 v5, it customizes data-driven SVG rectangles (via the `Marks` component) and axis lines, with tick labels styled by a custom font and muted colors. The chart reads population data from a CSV URL, formats large numbers using D3's `format` function, and renders axes using `scaleBand` and `scaleLinear` scales.

RRudy Shayganfar

Stylized Bar Chart

This stylized bar chart displays the top 10 countries by population using D3 scales and React components. The SVG visualization uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and `d3.format` to convert population values into readable billions. Data loads from a CSV of UN population estimates via `d3.csv`, with React hooks managing asynchronous state. Each bar includes a native SVG `<title>` tooltip showing the formatted value, with styled axes using Poppins typography.

JJanet Li

Stylized Bar Chart

This stylized bar chart visualizes the top 10 countries by population for 2020, using data from a CSV file loaded via D3's `csv` utility. The chart encodes population values horizontally and country names vertically, with the styled bars, axes, and text rendered as SVG through React components. The code utilizes D3 scales (`scaleBand` and `scaleLinear`) for positioning, a custom `tooltipFormat` using D3's `format` function, and React state managed via the `useData` hook. The design features a Poppins font, teal bars, and muted axis colors.

SSarah Elkeurti

Stylized Bar chart

This stylized bar chart displays the top 10 countries by population in 2020, using horizontal bars with a teal fill and a clean, minimal aesthetic. The React-based visualization loads CSV data via the `d3.csv` utility, while `scaleLinear` and `scaleBand` map population values to bar widths and country names to vertical positions. Custom SVG axis components render tick marks and labels, with the chart styled using the Poppins font from Google Fonts and React’s `useState` managing the asynchronous data loading process.

BbeauMarko

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries using horizontal bars, with population values shown on the x-axis and country names on the y-axis. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders SVG rectangles via a `Marks` component. Data comes from a CSV file loaded with `d3.csv`, and the chart includes custom axes, tick formatting with `format('.2s')`, and tooltips using SVG `<title>` elements.

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