Fork of Refactored Bar Chart

Fork of Refactored Bar Chart

A bar chart displays the top 10 most populous countries for 2020, sourced from the United Nations World Population Prospects 2019 via a CSV file. The visualization uses React components with D3 v5 scales and shapes, rendering bars as SVG rectangles. The code constructs a band scale for countries and a linear scale for population, with custom React components for axes and marks, loading data through a `useData` hook that fetches and parses the CSV.

Cchar0496

Fork of Refactored Bar Chart

A horizontal bar chart displays the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The chart renders with React components and SVG, employing d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and custom tick formatting to abbreviate population values. Axes are drawn as React components with d3 scale ticks, and bars include tooltips showing exact population figures.

AAbin

Fork of Refactored Bar Chart

This example shows the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population counts on the x-axis. The visualization is built using React and renders SVG elements, with D3’s `scaleBand` and `scaleLinear` handling the coordinate mappings. Axes are custom components that generate tick marks and labels, while the data is loaded from a CSV file of United Nations World Population Prospects 2019 via D3’s `csv` function.

Kkoech1

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

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 visualizes the top 10 most populous countries as a horizontal bar chart. The chart uses SVG rectangles for the bars, with D3’s scaleBand and scaleLinear for positioning, and custom React components (AxisBottom, AxisLeft, Marks) for rendering axes and marks. Data is loaded from a CSV file of United Nations World Population Prospects 2019 using d3.csv.

Jjwesterlund412

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using React for component structure and D3 v5 for scales and data loading. The chart renders as SVG, with `d3.scaleBand` positioning categorical country labels on the y-axis and `d3.scaleLinear` mapping population values to bar widths. Axis components (`AxisBottom`, `AxisLeft`) draw tick marks and labels from the scales, while `Marks` generates each rectangle. Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously with D3’s `csv` function.

KKIRRAN P L

Fork of Refactored Bar Chart

This visualization displays the top 10 most populous countries as a horizontal bar chart, using population data from the United Nations World Population Prospects 2019. Built with React and D3 v5, it renders SVG elements through reusable components. The chart uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with `AxisBottom` and `AxisLeft` components generating tick marks and labels. Data is loaded asynchronously via `d3.csv` from a GitHub gist, and bars are drawn as `<rect>` elements whose widths correspond to each country's 2020 population.

KKaushik Mishra