UN population countries

100%

UN population countries

✓ Published1🌍 Public

Last edited Mar 16, 2021

Created on Mar 16, 2021

Forked from Fork of Rendering data with React

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.

AI-generated description

A program to load CSV data

MIT Licensed

Similar vizzes

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

95% 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 data

This bar chart displays the top ten countries by population in 2020, based on UN population data loaded from a CSV file. The visualization uses React for component structure and D3 v7 for scales, axes, and SVG rendering. The `scaleBand` positions the country labels on the y-axis, while `scaleLinear` maps population values to bar widths, with gridlines and tick labels generated from the x-scale. The data is fetched asynchronously via `csv()` and sorted alphabetically before being rendered as SVG rectangles.

JJosh Zalcman

94% match

Loading thumbnail…

UN Population

This example visualizes the top 10 countries by population in 2020 using a horizontal bar chart rendered with SVG. It loads UN population data from a CSV file via `d3.csv` and uses React hooks (`useState`, `useEffect`) to manage the asynchronous data loading. The chart employs `d3.scaleBand` for the y-axis country labels and `d3.scaleLinear` for the x-axis population values, with gridlines generated from `xScale.ticks()`.

TTaweewat Somboonpanyakul

94% match

Loading thumbnail…

UN population 2019

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.

Jjbruzzo

93% match

Loading thumbnail…

Bar Chart Population

This interactive bar chart displays the top 10 most populous countries in 2020 according to UN population data. It uses React state to hold the CSV-loaded data and renders the visualization as an SVG. The chart implements D3's `scaleBand` for the categorical country axis and `scaleLinear` for the population axis, with axes drawn from D3's `ticks()` method. Rectangles represent each country's population, sized using the computed scales within a defined margin layout.

Nnahsiloh

93% match

Loading thumbnail…

UN Population Bar Chart

This example shows a horizontal bar chart of the top 10 countries by population from the UN’s 2019 dataset. It uses React state to load and store the CSV data, while D3’s `scaleBand`, `scaleLinear`, and `max` utilities compute the bar positions and widths. The SVG bars render across the full window height, sized proportionally to each country’s 2020 population. The code loads the data asynchronously with `d3.csv` and displays a loading message before the chart appears.

SSun Hwy (David) Kim

93% match

Loading thumbnail…

United Nation Population

This bar chart displays the top 10 most populous countries in 2020 based on United Nations population data, using horizontal bars scaled by population size. The React-based visualization employs D3 v6 utilities like `scaleBand` and `scaleLinear` to map country names and population values to SVG coordinates, with tick marks and gridlines generated from the x-axis scale. Data is loaded asynchronously from a CSV file via D3's `csv` function and rendered through React's state management and SVG output.

AAmir

93% match