Refactored UN Populations

100%

Refactored UN Populations

✓ Published1🌍 Public

Last edited Sep 21, 2021

Created on Mar 16, 2021

This bar chart displays the top 10 countries by population from a 2020 UN dataset, with country names on the y-axis and population counts formatted in billions on the x-axis. The visualization uses React to render SVG elements while D3 v6 utilities handle data fetching via `csv`, scales via `scaleBand` and `scaleLinear`, and formatting with `format`. Each bar includes a native SVG `<title>` tooltip showing the precise population value. The code is refactored into reusable components for axes and marks, with a custom React hook (`useFetch`) managing the asynchronous data loading.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React render the data

MIT Licensed

Similar vizzes

Loading thumbnail…

Refactored Bar Chart

This interactive bar chart displays the top ten countries by population for 2020, sourced from a UN Population CSV file. The visualization is built with React and D3 v5, using an SVG rendering approach. The code creates a horizontal bar chart by leveraging D3's `scaleBand` and `scaleLinear` functions to map country names and population values to the chart's dimensions. The chart is modularized into separate components for the bottom axis, left axis, and the rectangular marks, demonstrating a clean, refactored approach to building D3 visualizations within a React framework.

Ggayatrisridhar

92% match

Loading thumbnail…

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

92% match

Loading thumbnail…

Refactored Bar Chart

This bar chart visualizes the top 10 countries by 2020 population using data from the UN Population 2019 dataset, loaded via D3’s `csv` utility. Built with React and D3 v5, it encodes population with a linear x-scale (`scaleLinear`) and country names with a band scale (`scaleBand`) for the y-axis. The SVG rendering is composed of custom components for axes (`AxisBottom`, `AxisLeft`) and bars (`Marks`), with React state managing the asynchronous data loading.

SSarah Elkeurti

92% match

Loading thumbnail…

Refactored Bar Chart

This chart displays population data for the top 10 countries in 2020 using horizontal bars, with country names on the y-axis and population values on the x-axis. Built with React and D3 v6, the visualization uses D3's `scaleBand` and `scaleLinear` for axes, `format` for tick labels, and SVG elements for rendering. Data is loaded asynchronously via D3's `csv` function from a UN Population dataset. A tooltip reveals the exact population value for each bar.

Ddjfeld01

92% match

Loading thumbnail…

Refactored Bar Chart

This is a bar chart ranking the ten most populous countries according to UN 2019 population data. The visualization uses React to manage component state and rendering, while D3 v6 utilities like `scaleBand` and `scaleLinear` handle the scales and axes. The chart is rendered as an SVG, with data loaded asynchronously from a CSV via `csv`. The code defines reusable React components for the bottom and left axes and the bar marks, showcasing a modular, refactored approach to building D3 visualizations within a React framework.

MMario Ibarra

92% match

Loading thumbnail…

UN Population Bar Chart Refactored

This example shows a horizontal bar chart of the top 10 most populous UN countries for 2020, with country names labeled on the y-axis and population counts on the x-axis. The visualization is rendered as SVG in a React component, using D3 v6 scales (scaleBand and scaleLinear) to map data, with separate XAxis and YAxis components drawing gridlines and tick labels. Data loads asynchronously from a CSV file via d3.csv in a custom useData hook, and React manages the component lifecycle.

PPadoSensei

92% match

Loading thumbnail…

Refactored Bar Chart

This example displays a bar chart of the top 10 countries by population from UN Population 2019 data, using React components for the axis and marks. The SVG rendering uses D3 v5’s `scaleBand` and `scaleLinear` for positioning and sizing, with `useData` fetching the CSV via `d3.csv`. Each bar shows the population value with a bottom axis and labeled left axis, demonstrating a modular refactoring of D3 within a React framework.

Ffjvoris

92% match

Loading thumbnail…

Refactored Bar Chart

This visualization shows the top 10 countries by population for 2020 as a horizontal bar chart, with country names on the y-axis and population along the x-axis. Loading data via d3.csv from a UN population CSV, it uses React components to render SVG rects, with scales built from d3.scaleBand and d3.scaleLinear. Axis ticks and labels are generated manually with React JSX, mimicking D3’s axis pattern without d3.axisBottom or d3.axisLeft.

EEFezerKW

92% match