world pop

100%

✓ Published0🌍 Public

Last edited Mar 6, 2021

Created on Mar 6, 2021

This example visualizes world population data from a CSV file, displaying each country as a horizontal bar whose width corresponds to its population. The visualization uses React to manage state and render SVG elements, with D3’s `scaleBand` and `scaleLinear` mapping country names to vertical positions and population values to bar widths. Data loads asynchronously via `d3.csv`, and the chart updates dynamically once the dataset is fetched.

AI-generated description

a program that loads some data about css named colors uses react to render data

MIT Licensed

Similar vizzes

Loading thumbnail…

population

This visualization displays global population data for the year 2020, mapping countries to a bar chart layout. The code loads a CSV file using D3’s `csv` utility and parses the population values, then scales the data with `scaleBand` and `scaleLinear` for rendering. React manages the component state and lifecycle through hooks like `useState` and `useEffect`, while D3 provides the data-loading and scaling functions. The render output is an SVG, though the visible chart is incomplete as the final bars are commented out in the source.

RRonald Yagan

87% match

Loading thumbnail…

World Populations

This example displays a horizontal bar chart of the world’s top 20 most populous countries, using population data from the UN’s 2019 estimates. React components render SVG bars, scales, and axes, with d3.scaleBand and d3.scaleLinear mapping country names and population values. The d3.csv utility loads the dataset, while d3.format converts numeric labels into abbreviated “B” for billions. The chart highlights each bar’s exact population on hover via a native SVG `<title>` tooltip, with axis ticks styled through CSS.

EEd Hutchinson

87% match

Loading thumbnail…

D3 Bar Chart

This visualization displays world population by country using a horizontal bar chart rendered with SVG. The chart uses a linear scale for population values and a band scale for country names, with axes generated by `d3.axisLeft` and `d3.axisTop`. Data is loaded from a CSV file and parsed with `d3.csv`, then bars animate their widths via `transition`. The code applies a steelblue fill to all rectangles and uses `d3.scaleLinear` and `d3.scaleBand` for scaling.

Ssathishkottravel

86% match

Loading thumbnail…

World Populations

A horizontal bar chart displays the populations of the top ten countries as of 2020, loaded from a CSV file. The chart uses React state to manage the data and renders SVG rectangles whose widths are scaled by population via `scaleLinear` and `scaleBand`. D3’s `csv` utility parses the data, while `max` determines the domain. The bars show a clear ranking, with the longest bar representing the most populous country, and the chart updates once the data loads.

JJoeleen Kado

86% match

Loading thumbnail…

Visualizing World Population

This example visualizes world population data for the top ten countries in 2020, displayed as horizontal bars whose widths correspond to population size. It fetches CSV data from a GitHub gist using D3’s `csv` method, then processes and sorts the rows before rendering. The chart is built with React components that generate SVG `rect` elements, scaled using D3’s `scaleBand` for country categories and `scaleLinear` for population values. The visualization updates reactively as data loads, with D3 v5 and React 16.9 handling the data flow and SVG rendering.

Ggoyalshivam204

85% match

Loading thumbnail…

Bar chart - world population data

This example visualizes world population data as a bar chart, comparing values across countries or regions through bar heights. Built with React and D3 v6, the chart uses d3.scaleBand for the x-axis and d3.scaleLinear for the y-axis, with d3.axisBottom and d3.axisLeft rendering the axes. The code loads population data and renders bars as SVG rects, with labels for each category. Bars are colored distinctly, and the chart updates dynamically within a React component that manages the D3 lifecycle. The data source is embedded in the example, and the visualization emphasizes readability through generous spacing and clear typography.

KKirsten Lund

85% match

Loading thumbnail…

population

This example displays a horizontal bar chart of the top 10 countries by projected 2020 population, using data loaded from a CSV file. The visualization employs React for component rendering and SVG for drawing rectangles, with scales from D3 (`scaleBand` and `scaleLinear`) mapping country names to y-positions and population values to bar widths. The data is fetched asynchronously using D3’s `csv` utility, and the bars are colored uniformly without additional styling.

RRonald Yagan

85% match

Loading thumbnail…

Showing World Population with D3

This example displays world population data as a series of static rectangular bars, each representing a country’s population value loaded from a local CSV file. Using D3 v7, the code parses the data with `d3.csv`, converts population strings to numbers, and renders SVG `<rect>` elements via `selectAll` and data joins. A `d3.scaleLinear` is configured for the x-axis domain, though the bars currently use fixed dimensions and do not yet map population values to visual properties.

FFaysalIbnMohi

85% match