Refracted bar chart

Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019. The React app renders SVG elements, with d3.scaleBand mapping countries to the y-axis and d3.scaleLinear mapping population to bar widths. Axes are drawn as React components that generate SVG lines and text elements from the scales, with a load state indicated while the CSV data is fetched.

Ee-ines

Refactored bar chart

This bar chart displays the top 10 most populous countries as vertical bars ordered along a categorical y-axis, with population values mapped along a linear x-axis. The chart is rendered in SVG using React components for axes and marks, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Data is loaded asynchronously using `d3.csv` from the United Nations World Population Prospects 2019 dataset, displaying 2020 population figures.

11tang

Refactored bar chart

This chart displays the top 10 most populous countries as horizontal bars ranked by population, with axes providing clear quantitative and categorical context. The visualization is built with React and D3 v5, using React components to render SVG elements while d3’s `scaleBand`, `scaleLinear`, and `format` handle positioning and tick labels. Data comes from the United Nations World Population Prospects 2019 CSV, processed through d3’s `csv` function. Tooltips on each bar reveal exact population values via native SVG `title` elements.

TThiago Sawada

Refactored Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis, sourced from the United Nations World Population Prospects 2019. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position bars and axes, while SVG `<rect>` elements render the marks. The code separates concerns into reusable components for the bottom axis, left axis, and marks, and loads data asynchronously via D3’s `csv` parser.

Aamiteshwarr

Refactoring Bar Chart

This example visualizes the top 10 most populous countries as a horizontal bar chart, using population data from the United Nations World Population Prospects 2019. The visualization renders bars via SVG `<rect>` elements, with axes built from D3 v5 scales (`scaleBand` and `scaleLinear`) and React components for the axes and marks. The code also includes a custom tooltip via an SVG `<title>` element and uses D3’s `csv` loader to fetch the data.

CChiedu Egbumokei Jr

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The chart is built with React and D3 v5, using `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The `useData` hook loads a CSV via `d3.csv`, slices the first 10 rows, and renders the bars as SVG `<rect>` elements within a React component tree, with separate components for the axes and marks.

AAriana

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, rendered as an SVG via React. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.csv to load the dataset. It includes bottom and left axes generated from custom React components, with rectangular marks representing each country’s population. The chart is intentionally minimal, lacking gridlines and other embellishments, and updates reactively when data loads.

NNicolás Troncoso

Refactoring a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019. The React app loads the CSV with d3.csv and renders bars with SVG rect elements, scaling positions with d3.scaleBand and d3.scaleLinear. It also generates rudimentary axis ticks via d3.scaleLinear’s ticks method, despite lacking full axis labels or gridlines.

JJacob Potvin