Skip to main content
SimilarExport ZIP
100%

UN Population Estimates 2024

✓ Published1🌍 Public
CCurran Kelleher
Last edited Feb 14, 2024
Created on Jan 31, 2024

A scatter plot visualizes the relationship between population growth rate and median age for global regions and countries, using 2024 UN Population Estimates data. Each point represents a geographic area, with positions encoding two quantitative attributes from the dataset. The visualization uses a custom `main` function that renders a JSON dump of the first data record in a `<pre>` element, employing standard DOM manipulation rather than a charting library. The data is parsed from CSV into numeric values for all quantitative columns before display.

AI-generated description

Data from UN Population Estimates 2024, manually filtered to contain only data for 2024.

Challenge

  • Visualize this dataset in a new way
MIT Licensed

Similar vizzes

Loading thumbnail…

UN Population Estimates 2024

This example visualizes the UN Population Estimates 2024 dataset by displaying the full set of demographic and mortality attributes for a single country as a formatted JSON object in a scrollable HTML `<pre>` block. The interface uses a fixed font size and relies on template literals within a plain JavaScript function to render the data. The visualization emphasizes raw data structure over abstract visual encoding, making the breadth of available variables immediately apparent. The code imports the CSV data and converts all quantitative fields to numbers for accurate representation.

SShad Frigui
78% match
Loading thumbnail…

UN Population Estimates 2017 Medium Variant

This visualization plots UN World Population Prospects 2017 medium-variant estimates for world regions from 2015 to 2100. It uses D3.js to render multiple line series, with each region’s population values drawn as a path over time. The dataset from the UN’s medium fertility scenario is loaded via an external CSV, and D3’s line interpolation and axis ticks map the yearly population figures to screen coordinates.

CCurran Kelleher
77% match
Loading thumbnail…

UN Population Estimate 2024

This example displays a single row of UN population data for 2024, showing all quantitative attributes for the world as a JSON object. It parses a CSV file containing demographic indicators like population size, fertility rates, and life expectancy, converting the relevant fields to numbers. The code uses the built-in `JSON.stringify` method to render the first data object in a pre-formatted HTML block, with `import data from './data.csv'` handling the file loading. The visualization emphasizes raw data inspection over graphical representation.

SSubhendu Karmakar
74% match
Loading thumbnail…

ScatterPlot

A scatterplot displays the populations of the top 18 most populated countries in 2020, using UN estimates from the World Population Prospects. It uses D3.js v5 with SVG rendering, mapping population to a linear scale on the x-axis and country names to a point scale on the y-axis. The code employs `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` for tick labels, with red circles sized at a fixed radius. The background is styled with a light blue color, and axis labels and a title are included.

TTebid Quinsy
74% match
Loading thumbnail…

scatter plot

This scatter plot displays the population of the ten most populous countries from the 2018 United Nations World Population Prospects estimate. Each circle’s horizontal position encodes population on a linear scale, while the vertical position uses a point scale for country names. The code uses D3 v7 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, with SVG rendering via data joins. The population values are converted from the CSV’s raw numbers into actual estimates by multiplying by 1,000. Custom tick formatting replaces “G” with “B” to show billions.

Gginnyching
74% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the estimated population of Earth’s continents for 2020, using circles positioned along a linear x-axis for population (in thousands) and a point scale y-axis for continent names. The visualization is rendered as SVG and built with D3 v5, using `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` APIs. Data comes from the UN’s World Population Prospects 2020, loaded via `csv`. The chart includes labeled axes, gridlines, and a title, with population values formatted in abbreviated units.

PPavel Antoshkin
73% match
Loading thumbnail…

Untitled

This example visualizes population growth over time for global regions, drawing on UN population estimates (1950–2014) and medium-variant projections (2015–2100). It renders multiline time-series curves using d3.line with curveBasis, scaled by d3.scaleTime and d3.scaleLinear, while a categorical d3.scaleOrdinal with schemeCategory10 assigns region colors. The chart includes axes, gridlines, and a custom color legend built via d3-selection. Data is processed by melting a wide CSV format into tidy rows, filtering for regions only, and concatenating the historical and projected datasets.

Ccyanea1
73% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the world’s most populous countries, using 2018 estimates from the United Nations World Population Prospects. Circles are positioned along a single axis, with each country labeled, while a legend and footnote clarify the visual encoding. The visualization is built with D3 v5, using an SVG renderer and scale functions to map population values to screen coordinates. Styling is applied via external CSS, and the data is loaded from a CSV file.

SSUPERMAN79355
73% match