Refactored Barchart

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

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 shows the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as horizontal bars, with axes displaying country names and population values. The visualization uses React 16.9 and D3 v5, rendering SVG through React components. D3’s `scaleBand` and `scaleLinear` map the data to positions, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. The `useData` hook loads the CSV and truncates it to ten rows before rendering the rectangles.

CCurran Kelleher

Refactored barchart

This bar chart displays the top 10 most populous countries for 2020, based on United Nations World Population Prospects data. The chart renders horizontal bars using React and SVG, with axes built from reusable components that call `d3.scaleBand`, `d3.scaleLinear`, and `d3.max`. Data loads via `d3.csv`, and tick labels use `d3.format` with a custom suffix replacement. Hovering a bar reveals its exact population via an SVG `<title>` tooltip.

RRod* Wilhelmy

Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars, with country names on the left axis and population values on the bottom axis. The chart is built with React and D3 v5, using `scaleBand` and `scaleLinear` for positioning, and renders SVG rectangles via the `Marks` component. Data comes from the United Nations World Population Prospects 2019, loaded with `d3.csv`. Axes are drawn using custom components that leverage D3’s tick methods.

SSam

refactored barchart

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as a horizontal bar chart with axes, tick labels, and a title. Refactored into reusable React components, the visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and formats population values with d3.format. SVG renders the bars, while axis components (AxisBottom, AxisLeft) and Marks generate the graphical elements. The tooltipFormat function provides abbreviated population values on hover via native SVG title elements.

Mmarianamartins87

Fork of Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars ordered by country name, with no axes initially visible. The visualization uses React components to render SVG elements, leveraging D3 v5 functions like `scaleBand` and `scaleLinear` for positioning. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via D3’s `csv` parser and filtered to the first ten rows. The chart includes separate React components for axis rendering and bar marks, though the axes are left unlabeled in the final output.

YYedrup

Refactoring a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names along the y-axis and population values on the x-axis. Built with React and SVG, it uses reusable components to render the bottom axis, left axis, and bars, with scales created via d3.scaleBand and d3.scaleLinear. Data is loaded asynchronously from a 2019 United Nations population CSV using d3.csv, and the visualization responds to loading with a placeholder text.

Ssimontoblad