Skip to main content
SimilarExport ZIP
100%

Axes Bar Chart UN Population 2019

✓ Published0🌍 Public
RRyan Murry
Last edited Jun 23, 2021
Created on Jun 23, 2021

This example visualizes the top ten countries in the UN Population 2019 dataset, ranking them by projected 2020 population using horizontal bars. D3’s `scaleBand` maps country names to the y-axis with labels from the data’s `Country` field, while a `scaleLinear` maps population counts to bar widths via `xScale`. Tick marks and labels are drawn manually for both axes, but no axis lines or titles are rendered. The chart is built with React and D3 v5, using SVG output and fetching data from a remote CSV.

AI-generated description

Axes Bar Chart on UN Population. Band and linear scale, no axis

MIT Licensed

Similar vizzes

Loading thumbnail…

axes Bar Chart

This bar chart displays the top 10 countries by population in 2020, using data from a UN Population CSV file. It renders with React and SVG, where D3’s `scaleBand` positions the country labels on the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. The code manually generates gridlines and tick labels using `xScale.ticks()` and maps over `yScale.domain()` for text elements, rather than using D3’s axis components. Each rectangle’s width is set with `xScale(d.Population)`, and its height uses `yScale.bandwidth()`.

MMATTE-blz
93% match
Loading thumbnail…

Bar chart with axes

This bar chart displays the top 10 countries by 2020 population, using horizontal bars with labeled axes. The visualization loads data from the United Nations World Population Prospects 2019 CSV file, then uses React to render the SVG and D3 v5 APIs including `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `max` to determine the domain. The chart shows population values with tick marks and country labels, encoding data through bar lengths.

SSushan Prajapati
91% match
Loading thumbnail…

D3 Bar Chart with Axes

This example shows a horizontal bar chart of the top 10 countries by projected 2020 population, with country names on the y-axis and population counts on the x-axis. The chart uses React to manage state and the D3 v7 library’s `csv` loader to fetch United Nations population data from a GitHub gist. Scales are created with `scaleBand` and `scaleLinear`, while axes are drawn manually using SVG `<line>` and `<text>` elements, with gridlines derived from `xScale.ticks()`.

ZZoe Ferencova
91% match
Loading thumbnail…

Axes with React & D3

A React and D3 bar chart displays the top 10 most populous countries using UN population data from 2019, with bars representing 2020 projections. The visualization includes custom axes built manually through React components, using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. D3's `csv` loader fetches the dataset, while tick marks are generated via `xScale.ticks()`. The SVG rendering maps each country's population to bar widths, with axis labels positioned using React's JSX syntax.

TThiago Sawada
91% match
Loading thumbnail…

Bar Chart

This bar chart displays the population of ten countries (from the UN Population 2019 dataset) using horizontal bars, with the x-axis representing population and the y-axis listing country names. Built with React and D3 v5, the visualization uses `scaleBand` and `scaleLinear` to map data to the SVG coordinate system. Custom `AxisBottom` and `AxisLeft` components render tick marks and labels, while `Marks` creates rectangular bars with a `<title>` element providing tooltip text. Axis tick values are formatted using D3's `format` function, converting large numbers into readable abbreviations like "1.2B".

Iiblub
91% 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
91% match
Loading thumbnail…

Axes With React & D3

This bar chart displays the top 10 countries by 2020 population, with horizontal bars ranked vertically. The visualization uses React for component structure and state management, while D3’s `csv` loads and parses the UN population data, and `scaleLinear` and `scaleBand` map values to pixel positions. SVG elements—including `rect` bars and axis ticks—are rendered directly by React, with D3’s `max` and `ticks` methods driving the axis generation. The chart adapts to the browser window size and includes labeled axes.

BbeauMarko
91% match
Loading thumbnail…

Axes With React & D3

This bar chart visualizes the top 10 countries by 2020 population using data from the UN Population dataset, rendered as SVG via React. The code combines React with D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with `csv` loading the data. Gridlines and tick labels are generated from `xScale.ticks()`, while country names and proportional rectangles are mapped from the data.

Mmscoop16
90% match