Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public

Last edited May 30, 2022

Created on May 30, 2022

This chart displays the top 10 most populous countries for 2020 as horizontal bars, with country names on the y-axis and population counts on the x-axis. It uses React components to render D3 scales and SVG marks, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. Axes are drawn as custom React components with tick lines and labels, while the bars are simple SVG rectangles.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Refactored Bar Chart

This horizontal bar chart displays the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. React components render SVG rectangles whose lengths encode population values, with axes generated by D3's `scaleBand` and `scaleLinear`. The chart includes formatted tick labels, a labeled x-axis, and tooltips showing population figures on hover.

Bbradpickering

97% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries for 2020, sourcing data from the United Nations World Population Prospects 2019 via a CSV file. The visualization uses React to render SVG markup, with D3 v5 for data loading and scaling via `csv`, `scaleBand`, and `scaleLinear`. Horizontal bars represent population counts, ordered by country along the y-axis, with axes generated by custom React components that map scale tick values to SVG lines and text.

LLove Wessman

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the left axis and population values on the bottom axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG `<rect>` elements for the bars. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. Pre-styled axes are rendered as separate React components with tick marks and labels.

RRahel Gunaratne

96% match

Loading thumbnail…

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

95% match

Loading thumbnail…

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

95% match