Fork of Fork of Fork of Fork of Fork of Stylized Bar Chart

Fork of Fork of Fork of Stylized Bar Chart

This horizontal bar chart displays the top 10 most populous countries, ranking them by their 2020 population estimates. The visualization is built using a React front-end with D3.js v5 for data processing and SVG rendering. The code employs d3.scaleBand for the categorical y-axis, d3.scaleLinear for the continuous x-axis, and the csv function to load data from the United Nations World Population Prospects 2019 dataset.

Fork of Fork of Fork of Stylized Bar Chart

A stylized bar chart displays the top 10 most populous countries, with each bar's length proportional to its 2020 population estimate. The visualization uses React with D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. SVG renders the chart, with axes drawn manually via `AxisBottom` and `AxisLeft` components, while `Marks` renders rectangles with native tooltip titles. Population values are formatted using D3's `format` function to abbreviate numbers (e.g., 1.4B). Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously via `useData`.

Fork of Fork of Stylized Bar Chart

This example shows the ten most populous countries in 2020 as a horizontal bar chart, with country names on the y-axis and population counts (in billions) on the x-axis. Built with React and D3 v5, it uses `d3.scaleBand` and `d3.scaleLinear` to map data from the United Nations World Population Prospects 2019 dataset. SVG rectangles render each bar, with axes generated via `xScale.ticks()` and tooltips provided by SVG `<title>` elements.

EEmma kim

Fork of Fork of Stylized Bar Chart

This example visualizes the top 10 most populous countries using a horizontal bar chart, with each bar’s length proportional to population. The chart is rendered as SVG using React components, with scales from d3.scaleBand and d3.scaleLinear handling positioning. Axes are custom-built in React, and tooltips are provided via SVG `<title>` elements. Data comes from the UN World Population Prospects 2019, loaded and parsed with d3.csv.

Ssainitish1999

Fork of Fork of Stylized Bar Chart

This example displays the top 10 most populous countries as horizontal bars, ordered by population with a formatted axis showing values in billions. The chart uses React components to render SVG elements, with D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and sorted before rendering. Stylized with the Poppins font and teal bar fills, the visualization includes tick marks, axis labels, and tooltips via SVG `<title>` elements.

Fork of Stylized Bar Chart

This example presents a horizontal bar chart of the ten most populous countries, using data from the United Nations World Population Prospects 2019. The chart encodes each country’s 2020 population as a teal bar, with country names on the y-axis and population values on the x-axis. Built with React and d3.scaleBand and d3.scaleLinear, it renders SVG rectangles for each bar and includes a tooltip showing the exact population value. The axes are composed of lightweight components that map scales to tick lines and labels.

Aashershah

Fork of Stylized Bar Chart

This example presents a horizontal bar chart of the ten most populous countries, using data from the United Nations World Population Prospects 2019. It employs React for component structure and d3.scaleBand and d3.scaleLinear for layout, rendering SVG rectangles via a custom Marks component. Axes are built with d3’s scale ticks, and numeric labels use d3.format to convert values to billions. The chart includes a loading state and tooltips via SVG title elements.

SSam(Hessamoddin) Kaveh

Fork of Fork of Fork of Fork of Stylized Bar Chart

This interactive bar chart displays the top 10 most populous countries in 2020, using data from the United Nations World Population Prospects 2019. Built with React and D3 v5, it renders an SVG with horizontal bars, axes, and tooltips. The y-axis uses a band scale for categorical country names, while the x-axis applies a linear scale with SI-formatted tick labels (e.g., “1.4B”). The code splits visualization logic across separate components for axes and marks, loading CSV data via the `useData` hook and `d3.csv`.