Skip to main content
SimilarExport ZIP
100%

UN Pop data basic bar chart top 10

✓ Published1🌍 Public
Jjackcaldwellnichols
Last edited Nov 8, 2023
Created on Nov 8, 2023

This example displays the top 10 countries by 2020 population from a UN population prospects CSV, rendered as horizontal bars in an SVG. It uses React with D3 v7, loading and slicing the data via `d3.csv`, then mapping it through `scaleBand` for the y-axis and `scaleLinear` for the bar widths. The chart updates responsively, showing each country’s name alongside its population, with the data retrieved from a GitHub gist.

AI-generated description

Rendering the CSV colors in react

MIT Licensed

Similar vizzes

Loading thumbnail…

UNPop

This bar chart displays the top 10 countries by population for 2020, sourced from a UN population CSV. The visualization uses React to manage state and render an SVG, while D3 v6 handles data fetching via `csv()`, scaling with `scaleBand` and `scaleLinear`, and the `max` aggregation. Each country’s population is mapped to a rect’s width, with countries positioned along the y-axis. The chart highlights population magnitudes through horizontal bars, relying on D3’s declarative API for layout and React for component lifecycle.

Rrayking99
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
93% 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
93% match
Loading thumbnail…

UN Population Bar Chart v3

This visualization displays the populations of the top ten countries from a UN 2020 dataset as horizontal bars, using a bar chart format. The chart scales population values linearly on the x-axis and country names using a band scale on the y-axis. Built with React and D3 v7, it loads the CSV data via `d3.csv` and renders SVG elements directly, including axis ticks and grid lines. The visualization fills the browser window and updates asynchronously once the data is fetched.

JJohn Lewis
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
92% 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
92% match
Loading thumbnail…

bar chart

This bar chart displays the top 10 countries by 2020 population, with horizontal bars encoded by length and ordered by country name. The visualization uses React to manage state and render SVG elements, while D3 v7 handles data loading via `csv()` and scales through `scaleBand` and `scaleLinear`. Population data comes from a UN gist CSV file. Loading text appears until data arrives, and the chart currently lacks axis labels or text annotations.

MMalcolm Mead
92% match
Loading thumbnail…

Bar chart

This bar chart displays the top 10 countries by 2020 population from a UN Population dataset loaded via `d3.csv`. It uses React with hooks (`useState`, `useEffect`) to fetch and store the data, then renders SVG rectangles scaled by `d3.scaleBand` for countries and `d3.scaleLinear` for population values. Gridlines and axis ticks are generated with `xScale.ticks()`, and the chart is drawn within a margin-based layout.

AAlex Stulov
92% match