Deaths

Bar Chart

This bar chart displays the top 10 most populous countries based on 2020 UN Population data, with horizontal bars showing each country’s population count. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. SVG `<rect>` elements render the bars, while custom axis components generate tick marks and labels using D3’s `ticks()` and `format()` APIs, with population values formatted using the SI prefix format (e.g., “1.4B”).

Nnghosh319

Untitled

This bar chart displays the top 10 most populous countries for the year 2020, using data from the United Nations World Population Prospects 2019. The visualization uses a horizontal bar layout, where each bar’s length encodes population, with a formatted axis label converting values into a readable "B" (billions) format. Built with React and D3 v5, the code constructs a linear scale (`d3.scaleLinear`) for the x-axis and a band scale (`d3.scaleBand`) for the categorical y-axis. The rendering is SVG-based, with interactive tooltips showing exact population values on hover. The chart is styled with a teal color for bars and a clean sans-serif font, presenting the data in an accessible, static format.

HHaileabGH

Untitled

This bar chart displays the top 10 most populous countries in 2020, using horizontal bars to compare population sizes. The visualization loads data from a United Nations World Population Prospects 2019 CSV file via d3.csv, then renders it with React and SVG. The code uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.format to abbreviate tick labels (e.g., converting billions to "B"). Each bar includes a native SVG title tooltip showing the population value, with axes and labels rendered as custom React components.

Ssamemurk21

Bar Chart

This bar chart displays the top 10 most populous countries in 2020, with horizontal bars sorted by population. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering SVG rectangles via the `Marks` component. Tooltips show formatted population values using D3’s `format` with SI prefixes. Data comes from the United Nations World Population Prospects 2019, loaded asynchronously with `csv`.

Llimenzi

Bar Chart

This bar chart displays the top 10 most populous countries using United Nations World Population Prospects 2019 data, loaded via d3.csv. It uses React with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis, rendered as SVG rect elements. Axes are drawn with custom React components (AxisBottom and AxisLeft), with tick labels formatted using d3.format to convert values to billions.

33ssalunke

Bar Chart

This bar chart displays the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The visualization employs React components for rendering and d3.js functions like `scaleBand`, `scaleLinear`, and `max` to map countries and their populations. The chart is drawn as an SVG, with horizontal bars and labeled axes, and includes interactive tooltips showing population values in a formatted, shortened notation.

RRay Yang

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The visualization orders bars horizontally, with population values extending left to right on a linear scale and country names positioned along a categorical band scale. The React-based interface renders SVG elements through reusable AxisBottom, AxisLeft, and Marks components, which rely on d3 scaleLinear, scaleBand, and format APIs to handle scaling and tick labeling. Population figures are converted from raw CSV values using a row parsing function that multiplies the 2020 estimates by 1000.

Kkarishmakaur

Top Countries By Population Bar Chart

This bar chart displays the top 10 most populous countries for 2020, using horizontal bars to compare population sizes. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the population x-axis. Data comes from the United Nations World Population Prospects 2019, loaded via D3's `csv` function. The SVG rendering includes custom axes and marks, with tooltips formatted using D3's `format` function to show values in billions.

GGonzalo Montañés