UN_Poplulation_2019

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

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

UN Population Bar Chart

This example visualizes the top 10 countries by projected 2020 population using a horizontal bar chart. The React app fetches UN population data from a CSV file, then uses d3.scaleBand and d3.scaleLinear to map countries and population values to SVG rectangles. Axis ticks and labels are generated with d3 scale methods, while the chart is rendered entirely through React’s declarative SVG elements.

PPadoSensei

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

UN Pop data basic bar chart top 10

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.

Jjackcaldwellnichols

UN Population Prospects 2019

A horizontal bar chart displays the ten most populous countries in 2020 based on UN Population Prospects 2019 data. The visualization loads a CSV file via `d3.csv`, parses the population column, and maps country names to a `scaleBand` y-axis while populations drive a `scaleLinear` x-axis. React state manages the asynchronous data loading, and SVG rectangles render the final bars. The chart uses D3 v5 for scales and data parsing, with React components handling the rendering.

Kkosakase

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

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