Skip to main content
SimilarExport ZIP
100%

(axis w/ react & d3) Countries by population (top 10)

✓ Published1🌍 Public
AAlexander Dorling
Last edited May 14, 2021
Created on May 14, 2021

This example visualizes the top 10 most populous countries in 2020 as a bar chart, using a horizontal layout. It shows the population counts along the x-axis and country names along the y-axis, with gridlines and tick labels generated manually. The code loads data from a CSV file using `d3.csv`, processes it in a React component with hooks (`useState`, `useEffect`), and uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `max` from d3. React elements are used to render SVG bars, text labels, and lines, with ReactDOM mounting the component.

AI-generated description

A program that creates a bar chart of the top 10 most populous countries. Using gist from Curran (datavis 2020).

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar with axis

This example displays the top 10 most populous countries in 2020 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. Using React hooks to manage data loading, it fetches CSV data via D3’s `csv` utility and renders SVG bars with `rect` elements. D3’s `scaleBand` and `scaleLinear` position the bars, while custom tick marks and labels are generated from `xScale.ticks()` and the y-scale domain, all within a React component tree.

EEugenio2192
93% match
Loading thumbnail…

(margin convention) Countries by population (top 10)

A horizontal bar chart displays the top 10 most populous countries in 2020, with bar length encoding population size. The visualization uses React to manage state and render SVG elements, while d3-scale’s `scaleBand` and `scaleLinear` compute the y and x positions. Data is loaded asynchronously via d3.csv from a UN population dataset, then sorted and sliced to the first ten rows. The chart applies a margin convention, translating the inner group by `margin.left` and `margin.top` to position bars within the SVG canvas.

AAlexander Dorling
93% match
Loading thumbnail…

Refactored Bar chart - Countries by population (top 10)

This bar chart displays the top 10 most populous countries in 2020, with each country's total population represented by the length of its corresponding bar. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear handling the categorical and linear scales for the country names and population values. Data is loaded asynchronously from a CSV file using d3.csv, and the chart is composed of separate AxisBottom, AxisLeft, and Marks components that are refactored for clarity. The bars are drawn as SVG rect elements within a 960×500 viewport.

AAlexander Dorling
92% match
Loading thumbnail…

Bar chart

This bar chart displays the top 10 countries by population for 2020, using horizontal rectangles whose widths are proportional to each country’s population. The visualization is built with React and D3 v7, leveraging `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, filtered to the first ten rows, and rendered as SVG `<rect>` elements. The chart updates reactively once the data arrives, showing a loading message initially.

Aafcchilders
92% match
Loading thumbnail…

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR
91% match
Loading thumbnail…

Bar chart with D3

This bar chart displays the population of the top 10 countries for 2020, using horizontal bars sorted by country name. The chart is built with React and D3 v5, rendering SVG elements. The code defines custom `AxisBottom`, `AxisLeft`, and `Marks` components, using D3's `scaleBand` and `scaleLinear` for scales and `format` for tick labels. Data is loaded from a CSV URL using `d3.csv`, and population values are computed by multiplying the '2020' column by 1000.

Eekmankaur
91% match
Loading thumbnail…

Top Populous countries

This bar chart displays the top 10 most populous countries in 2020, sorted by population, with a left-aligned y-axis listing country names and an x-axis measuring population in billions. It uses React with D3 v5, leveraging `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG `<rect>` elements for bars. Data is loaded asynchronously from a CSV via `d3.csv`, then sliced and rendered with custom `AxisBottom`, `AxisLeft`, and `Marks` components, with native SVG `<title>` tooltips.

SSamuel Oseh
91% match
Loading thumbnail…

Refactored Bar Chart

This example visualizes the top 10 countries by population in 2020 using a horizontal bar chart. The chart displays a linear x-axis for population values and a categorical band scale for country names, with bars rendered as SVG rectangles. Built with React and D3 v6, the code separates concerns into reusable components for axes and marks, and loads data from a CSV file using the `csv` function. The scaleLinear and scaleBand APIs handle the mapping, while React hooks manage the asynchronous data fetching.

Fforcox43
91% match