let's make a bar chart

barChart

This example displays the top 10 most populous countries as horizontal bars, with no axes or labels to guide interpretation. The chart uses React to manage state and render SVG rectangles, while D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths, respectively. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via D3’s `csv` function and filtered to the first ten rows. The visualization intentionally omits scales, leaving the raw bars to convey relative sizes.

RRahul Gupta

Bar Chart

This visualization displays the top 10 most populous countries using horizontal bars, with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering as SVG. Population data comes from the United Nations World Population Prospects 2020, loaded via `d3.csv`, with tooltips showing formatted values. The chart includes styled axes and labels, with a teal fill for each bar.

Hhariveda-git

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR

AAdriana Rodriguez Sanabria

Syllized Bar Chart

This example displays the top 10 most populous countries as horizontal bars using React and D3 v5. The chart renders SVG rectangles with data from the United Nations World Population Prospects 2019, showing each country’s population in 2020. The y-axis uses `scaleBand` for country labels, while the x-axis employs `scaleLinear` with tick formatting that abbreviates values using `d3.format` (e.g., converting G to B). Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) structure the visualization, with hover tooltips provided through SVG `<title>` elements.

Stylized Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population on the x-axis. It is built using React and D3 v5, relying on `scaleBand` and `scaleLinear` for positioning, and SVG for rendering. The data comes from the United Nations World Population Prospects 2019 dataset, loaded via `d3.csv`. Axis components (`AxisBottom`, `AxisLeft`) and bar marks (`Marks`) are custom React components, with tooltips provided by SVG `<title>` elements and population labels formatted using `d3.format`.

CCurran Kelleher

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The bars are rendered as SVG rectangles, with a linear scale mapping population values to widths and a band scale positioning each country’s bar vertically. The code uses React to create a placeholder circle, but the visible chart is built by commented-out D3 code that would call `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load and plot the data.

AAnton Vasilev

Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with bars extending right from country labels. The chart deliberately omits axes, relying only on bar lengths and faint gridlines to convey magnitude. Built with React and D3 v5, the code loads UN population data via `d3.csv`, then uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-scale. Rendering occurs through SVG `rect` elements inside a React component, with tick marks generated manually and styled minimally.

PPatric Tysk

Stylized Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the y-axis and population values on the x-axis formatted as billions. The chart is rendered as an SVG using React components, with d3.scaleBand and d3.scaleLinear mapping the data, and d3.format for tick labels. Data comes from the United Nations World Population Prospects 2019 via a CSV loaded asynchronously with d3.csv, and the axes and bars are styled with teal marks and a Poppins font.

PPaul Chen