Fork of Refactored Bar Chart

Fork of Refactored Bar Chart

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. The React app uses `d3.csv` to load data, `scaleBand` and `scaleLinear` to position bars, and renders SVG via React components for axes and marks. Population values are parsed as numbers and sorted by their 2020 figures.

Vvram80

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as horizontal bars. The chart uses React with D3 v5 utilities, including `scaleBand` for the y-axis country categories, `scaleLinear` for the population x-axis, and `csv` to load and parse the data from a GitHub gist. Axes are rendered as separate SVG components (`AxisBottom` and `AxisLeft`), while `Marks` draws the rectangles. The visualization shows population values without numerical tick labels on the x-axis, presenting data in a clean, unlabeled bar layout.

TTheAnswer-Is-42

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart using React and SVG, with data from the United Nations World Population Prospects 2019. The chart uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, with bars rendered as SVG `<rect>` elements. Axes are constructed manually via `.ticks()`, and data loading and parsing are handled with `d3.csv` inside a custom `useData` hook. The visualization includes clearly labeled country names on the left and tick marks on the bottom axis.

FfaridTalmat

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the left axis and population values along the bottom axis. It uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning and scaling, and manually drawn axis components (`AxisBottom`, `AxisLeft`) to avoid D3 axis helpers. Data is loaded asynchronously via `useData` and D3’s `csv` from the United Nations World Population Prospects 2019 dataset, with the chart updating once the data arrives.

Ssmeiyin

Fork of Refactored Bar Chart

This visualization displays the top 10 most populous countries as a horizontal bar chart, using data from the United Nations World Population Prospects 2019. It uses React for component composition and d3.v5’s `scaleBand`, `scaleLinear`, and `max` for scales and domain calculation. The chart renders as SVG, with axes constructed via custom `AxisBottom` and `AxisLeft` components, while `Marks` draws the rectangular bars. Data is loaded asynchronously with d3’s `csv` function and filtered to the first 10 rows.

RRoberto

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with the country name on the y-axis and population on the x-axis, based on United Nations World Population Prospects 2019 data. The visualization is rendered as an SVG using React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Custom React components (`AxisBottom`, `AxisLeft`, and `Marks`) draw the axes and rectangles, while `d3.csv` loads the remote dataset and `d3.max` calculates the domain.

Wweny1109

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the left and a linear population scale along the bottom. It uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` for positioning and scaling. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and sliced to the first ten rows. Axes are custom components using D3 tick generation.

BBetty

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