Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public

Last edited Nov 13, 2021

Created on Nov 13, 2021

This bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, with countries on the y-axis and population on the x-axis. The visualization uses React to render SVG elements, with the `d3.scaleBand` and `d3.scaleLinear` functions from D3 v5 handling the axis scaling. It includes custom React components for the axes and bars, with the data loaded asynchronously via D3’s `csv` function. The chart also shows a loading message before the data arrives.

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 bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, using horizontal bars ranked by population. The visualization is built with React and D3.js v5, where the `d3.csv` loader fetches the data, `d3.scaleBand` positions country labels along the y-axis, and `d3.scaleLinear` maps population values to bar widths. Both axes are rendered as SVG elements through custom React components, with the left axis listing country names and the bottom axis showing population ticks. The chart updates reactively once the data loads, displaying all country names and population magnitudes without additional interactivity.

UUtsav Khatu

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, rendered as an SVG via React. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.csv to load the dataset. It includes bottom and left axes generated from custom React components, with rectangular marks representing each country’s population. The chart is intentionally minimal, lacking gridlines and other embellishments, and updates reactively when data loads.

NNicolás Troncoso

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This horizontal bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. The visualization uses React with D3 v5's `scaleBand` for the categorical y-axis and `scaleLinear` for the numerical x-axis, rendering bars as SVG rectangles. The code leverages `csv` from D3 to load data, and includes custom axis components for formatting tick labels with the `format` function. Tooltips provide formatted population values via the `<title>` element.

Zzyniax

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, with each bar’s length representing the 2020 population figure. Although the chart lacks an x-axis scale, it renders labels for country names on the left and tick marks along the bottom using React components. The visualization uses d3.scaleBand for the categorical y-axis, d3.scaleLinear for the population values, and SVG rectangles to draw the bars. Data is loaded asynchronously via d3.csv and rendered within a React application built with functional components and hooks.

CChristian Rohrer

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries based on the United Nations World Population Prospects 2019 data. The chart uses horizontal bars with axes, rendered as SVG elements within a React application. The visualization employs D3 v5 scales for positioning, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous population values on the x-axis. Data is loaded asynchronously using D3's CSV parser and processed through custom React components for axes and marks.

JJulienJacquot

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset in a horizontal bar chart. The bars are rendered as SVG rectangles using React components, with axes generated via custom `AxisBottom` and `AxisLeft` components that leverage d3.scaleBand and d3.scaleLinear. Data loading is handled through d3.csv in a custom `useData` hook, which parses population values and slices the result to the first ten entries. The chart includes tick marks and labels for both axes.

Eevers-codeshop-ai

96% match

Loading thumbnail…

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

96% match