Most streamed songs of all time

HHumanistic Quality Management

3: Bar Chart

This bar chart displays the populations of the ten most populous countries in 2020, using data from a UN population CSV file. The visualization is rendered as an SVG via React components, with horizontal bars scaled by population values. The code leverages d3’s `csv` for data loading, `scaleBand` for the categorical y-axis, and `scaleLinear` for the quantitative x-axis. React’s `useEffect` and `useState` manage data fetching and state, while `ReactDOM.render` mounts the chart into the DOM.

Country Population Bar Chart

This example shows a horizontal bar chart of the top ten countries by 2020 population, ordered from largest at the top to smallest at the bottom. The bars are rendered as SVG `rect` elements inside a React component, with scales created using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Data is loaded asynchronously from a CSV file using `d3.csv`, with the population column coerced to numeric values. The chart uses React state and the `useEffect` hook to fetch and transform the data before rendering.

BBen Brophy

Top Populous countries

This bar chart displays the top 10 most populous countries in 2020, sorted by population, with a left-aligned y-axis listing country names and an x-axis measuring population in billions. It uses React with D3 v5, leveraging `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG `<rect>` elements for bars. Data is loaded asynchronously from a CSV via `d3.csv`, then sliced and rendered with custom `AxisBottom`, `AxisLeft`, and `Marks` components, with native SVG `<title>` tooltips.

SSamuel Oseh

Bar Chart

This bar chart displays the top 10 countries by population for 2020, using horizontal bars ranked from largest to smallest. The visualization is built with React and rendered as SVG, leveraging D3 v7’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Population values are loaded via `d3.csv` from a UN dataset and formatted with SI notation, converting “G” to “B” for billions. Axes are generated by custom React components, and hover tooltips appear through native SVG `<title>` elements.

GGabriel

Bar Chart 1

This bar chart displays the top 10 countries by their 2020 population, with each country’s population represented by a horizontal bar’s length. The visualization uses React’s `useState` and `useEffect` hooks to asynchronously load CSV data, while d3’s `csv` parser and `scaleBand`/`scaleLinear` functions map country names and population values to screen coordinates. The bars are rendered as SVG `<rect>` elements, with the data sourced from a GitHub Gist and displayed once loading completes.

AAndres Perdomo

Refactored Bar Chart

This chart displays population data for the top 10 countries in 2020 using horizontal bars, with country names on the y-axis and population values on the x-axis. Built with React and D3 v6, the visualization uses D3's `scaleBand` and `scaleLinear` for axes, `format` for tick labels, and SVG elements for rendering. Data is loaded asynchronously via D3's `csv` function from a UN Population dataset. A tooltip reveals the exact population value for each bar.

Ddjfeld01

Making a World Population Bar Chart

This bar chart displays the top 10 most populous countries for 2020, using horizontal bars ordered by population with a labeled x-axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG `<rect>` elements for the bars. Population values are fetched from a CSV file via `d3.csv` and formatted with `d3.format`. Tooltips show exact values using the SVG `<title>` element.

IIsh Takkar

bar chart

This bar chart displays the top 10 countries by 2020 population, with horizontal bars encoded by length and ordered by country name. The visualization uses React to manage state and render SVG elements, while D3 v7 handles data loading via `csv()` and scales through `scaleBand` and `scaleLinear`. Population data comes from a UN gist CSV file. Loading text appears until data arrives, and the chart currently lacks axis labels or text annotations.

MMalcolm Mead