Skip to main content
SimilarExport ZIP
100%

UN population 2019

✓ Published1🌍 Public
Jjbruzzo
Last edited Jun 30, 2022
Created on Jun 30, 2022

A horizontal bar chart shows the ten most populous countries in 2020 based on UN population estimates. Each bar length encodes the population value, with country names on the y-axis and population scale on the x-axis, rendered as SVG rectangles. The code loads CSV data via `d3.csv`, transforms the 2020 column into numbers, and stores the first ten rows in React state with `useState` and `useEffect`. Scales are built using `d3.scaleBand` and `d3.scaleLinear` to map data to pixel positions and widths.

AI-generated description

A program that loads in some data using D3 utilities, and uses React state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

UN World Population 2020

A horizontal bar chart displays the top 10 most populous countries in 2020 according to UN data. Each bar’s length encodes the country’s population, scaled linearly using `d3.scaleLinear`, while the vertical bands use `d3.scaleBand`. The data loads asynchronously via `d3.csv` from a GitHub gist, and React renders the SVG rectangles. The code imports `csv`, `arc`, `pie`, and `max` from D3 v7.

RRandyElkins
94% match
Loading thumbnail…

UN Population Bar Chart

This visualization displays the top 10 most populous countries in 2020 as horizontal bars, with bar length proportional to population. The React component loads the UN population dataset via d3.csv, then renders an SVG using scaleBand for the categorical country axis and scaleLinear for the population values. The chart fills the entire browser window (width and height set to window dimensions) and updates only after the data loads, initially showing a large “Loading…” message. The code uses React hooks (useState, useEffect) to manage the asynchronous data fetching and D3’s scale functions for mapping data to pixel coordinates.

JJohn Lewis
94% match
Loading thumbnail…

UN Population 2019 Bar Chart

This bar chart displays the ten most populous countries in the UN’s 2019 population estimates, ranking them horizontally by their projected 2020 population in descending order. The visualization uses D3 v5’s `scaleBand` and `scaleLinear` for positioning and scaling bars, with React state managing the data fetched from a CSV. The data is loaded asynchronously via `d3.csv` and rendered as SVG rectangles.

Rrstrauss127
93% match
Loading thumbnail…

UN population countries

A bar chart displays the top 10 most populous countries in 2020 using UN population data, with horizontal bars sized by `Population` values. The React app loads CSV data via `d3.csv`, filters the first ten rows, and renders SVG `<rect>` elements using `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population scale. The chart updates after an asynchronous data fetch, showing a loading state before the visualization appears.

BBurak Senel
93% match
Loading thumbnail…

UN Populations

A horizontal bar chart displays the ten most populous UN countries for 2020, with country names on the y-axis and population counts on the x-axis. Built with React and D3.js v6, it loads CSV data via `d3.csv` and renders SVG rectangles scaled by `d3.scaleLinear` and `d3.scaleBand`. Axis ticks and labels are generated from `xScale.ticks()`, producing a clean, grid-lined comparison of national populations.

MMonish Vassantrai
93% match
Loading thumbnail…

UN World Population 2020

This example shows the top 10 most populous countries in 2020 using a horizontal bar chart, with each bar’s length proportional to the population from the UN World Population Prospects 2019 dataset. It loads the CSV data with d3.csv, transforms the 2020 column into numbers, and renders the bars as SVG rectangles using React’s useState and useEffect hooks. The chart uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the population scale, with the bars positioned and sized via the React map function.

DDhvanil Vaghasiya
93% match
Loading thumbnail…

UN Population 2019 Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with bar length encoding each country’s 2020 population from the UN World Population Prospects 2019 dataset, though no axes or labels guide interpretation. The React app loads CSV data via `d3.csv`, sorts by population, and renders SVG rectangles using `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population values. The chart updates when data finishes loading, initially showing a loading message.

YYenTingWu
93% match
Loading thumbnail…

UN Population Prospects 2019

A horizontal bar chart displays the ten most populous countries in 2020 based on UN Population Prospects 2019 data. The visualization loads a CSV file via `d3.csv`, parses the population column, and maps country names to a `scaleBand` y-axis while populations drive a `scaleLinear` x-axis. React state manages the asynchronous data loading, and SVG rectangles render the final bars. The chart uses D3 v5 for scales and data parsing, with React components handling the rendering.

Kkosakase
93% match