Skip to main content
SimilarExport ZIP
100%

Sad Population Chart

✓ Published1🌍 Public
HHeidi Stockton
Last edited Apr 22, 2021
Created on Apr 22, 2021

This chart displays the top 10 most populous countries for 2020 as horizontal bars, with each bar’s length proportional to its population. The visualization uses a React component to manage state and load data from a CSV via `d3.csv`, parsing the `Population` column. The layout is computed with `scaleBand` for the y-axis and `scaleLinear` for the x-axis, rendering rectangles in SVG. The code demonstrates a simple integration of D3 scale utilities with React’s `useState` and `useEffect` hooks for data fetching.

AI-generated description

A program that loads in some data using D3 utilities, and uses React state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Pathetic Population Bar Chart

This visualization displays the populations of the top ten countries using a horizontal bar chart, with each bar’s length proportional to its 2020 population value. The chart renders as SVG via React, using `useState` and `useEffect` to fetch and parse a CSV from a GitHub gist. D3’s `scaleBand` positions the country categories along the y-axis, while `scaleLinear` maps population counts to bar widths on the x-axis. The data is loaded using `d3.csv` and truncated to the first ten rows.

Sshresthabhi
89% match
Loading thumbnail…

("Pathetic bar chart) Countries by population (top 10)

This example displays the top 10 most populous countries as horizontal bars, with bar length proportional to each country’s 2020 population estimate. The data comes from a CSV file of UN population figures, loaded via `d3.csv` and processed with a custom row function. The visualization uses React state to manage the data, and D3’s `scaleBand` and `scaleLinear` to compute bar positions and widths. Each bar is rendered as an SVG `<rect>` element, with the chart updating once the data loads. The page shows a loading message until the dataset is ready.

AAlexander Dorling
89% 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
89% match
Loading thumbnail…

The Pathetic Bar Chart

This visualization displays the top ten most populous countries in 2020 as horizontal bars, with each country’s bar length proportional to its population. Using React state to manage data loading, the code fetches a CSV of UN population data via `d3.csv`, then renders SVG rectangles positioned by `d3.scaleBand` and sized by `d3.scaleLinear`. The bars are plain rectangles without labels or axes, hence the “pathetic” title. React’s `useEffect` and `useState` hooks drive the asynchronous data fetch and rendering.

Yyejichun@naver.com
89% match
Loading thumbnail…

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

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.

AAlexander Dorling
89% match
Loading thumbnail…

Country Population Bar Chart

This example shows a horizontal bar chart of the top ten countries by 2020 population, ordered from largest at the top to smallest at the bottom. The bars are rendered as SVG `rect` elements inside a React component, with scales created using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Data is loaded asynchronously from a CSV file using `d3.csv`, with the population column coerced to numeric values. The chart uses React state and the `useEffect` hook to fetch and transform the data before rendering.

BBen Brophy
89% match
Loading thumbnail…

Making a World Population Bar Chart

This bar chart displays the top 10 most populous countries for 2020, using horizontal bars ordered by population with a labeled x-axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG `<rect>` elements for the bars. Population values are fetched from a CSV file via `d3.csv` and formatted with `d3.format`. Tooltips show exact values using the SVG `<title>` element.

IIsh Takkar
88% match
Loading thumbnail…

Bar Chart 1

This bar chart displays the top 10 countries by their 2020 population, with each country’s population represented by a horizontal bar’s length. The visualization uses React’s `useState` and `useEffect` hooks to asynchronously load CSV data, while d3’s `csv` parser and `scaleBand`/`scaleLinear` functions map country names and population values to screen coordinates. The bars are rendered as SVG `<rect>` elements, with the data sourced from a GitHub Gist and displayed once loading completes.

AAndres Perdomo
88% match