Skip to main content
SimilarExport ZIP
100%

Refatorar População Bar Chart

✓ Published0🌍 Public
AAlan Santos
Last edited Jun 2, 2022
Created on Jun 2, 2022

This example shows a horizontal bar chart of the ten most populous countries in 2020, using data from the United Nations’ 2019 population prospects. The chart is built with React and rendered as SVG, using d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis. Custom React components draw the axes and marks, with d3.csv loading the data from a gist.

AI-generated description

Programa que mostra os 10 países mais populosos atraves do grafico de barras e axes

Dados:Perpectiva da Nações Unidas da População 2019

MIT Licensed

Similar vizzes

Loading thumbnail…

Refactored Bar Chart

This example displays a horizontal bar chart of the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The React component structure separates axis and mark rendering into reusable subcomponents. It employs d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and d3.csv to load the data. SVG rectangles are positioned and sized using the scales, with axes generated via d3-scale’s ticks and domain mapping.

AAhmad Butt
92% match
Loading thumbnail…

População Bar Chart 01

This example displays the ten most populous countries as horizontal bars, with bar width proportional to each country’s 2020 population estimate. The chart uses React state to load and parse the CSV data, then renders SVG rectangles with D3’s `scaleBand` and `scaleLinear` for positioning and scaling. The data originates from the United Nations 2019 population perspective.

AAlan Santos
92% match
Loading thumbnail…

Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019. The React app renders SVG elements, with d3.scaleBand mapping countries to the y-axis and d3.scaleLinear mapping population to bar widths. Axes are drawn as React components that generate SVG lines and text elements from the scales, with a load state indicated while the CSV data is fetched.

Ee-ines
91% match
Loading thumbnail…

Refactored bar Chart

This data visualization example shows a horizontal bar chart displaying the populations of the ten most populous countries, using data from the UN Population 2019 CSV file. The chart is constructed using React components to render SVG elements, with D3 utilities (d3.csv, scaleBand, scaleLinear, max) handling data loading and scales. The code separates concerns into distinct functional components—AxisBottom, AxisLeft, and Marks—each receiving scale and data props. The axes and rectangles are rendered as SVG elements based on the population values from the "2020" column.

SShmuel Leider
91% match
Loading thumbnail…

Refactored Bar Chart

This example shows the ten most populous countries in 2020 using a horizontal bar chart, rendered with SVG elements inside a React application. The chart deliberately appears "pathetic" with no axes or value labels, presenting only the country names on the left and proportional bars extending rightward. The code builds the visualization using React’s `useState` and `useEffect` hooks alongside D3 v5 utilities, including `scaleBand`, `scaleLinear`, and `max`, while loading data from a CSV file via D3’s `csv` function. The data source is the United Nations World Population Prospects 2019.

Ttrissentety
91% match
Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, sorted by population. It uses React components to render the SVG, with D3 v7 utilities `scaleBand`, `scaleLinear`, `max`, and `csv` for data loading and scaling. The axes and bars are drawn via reusable React components, with accessor functions for data fields, and the chart updates once the CSV from the UN Population dataset is loaded.

Yyejichun@naver.com
91% match
Loading thumbnail…

Refactored React Bar Chart

This example shows the population of the ten most populous countries in 2020, using data from the United Nations World Population Prospects. A React component renders an SVG bar chart where each country’s bar length is proportional to its population. The code uses `d3.csv` to load the data, `d3.scaleLinear` and `d3.scaleBand` to position bars, and separate React components for the axes and marks. The bottom axis uses `xScale.ticks()`, while the left axis displays country names, with bars styled in steel blue.

AAnthony Ynami
91% match
Loading thumbnail…

Refracted bar chart

This example visualizes the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019, loaded via d3.csv. It renders an SVG chart in React, positioning rectangles with d3.scaleBand for the y-axis countries and d3.scaleLinear for the x-axis population values. The code manually draws tick marks and labels using d3’s scale.ticks, while omitting axes entirely, creating a stripped-down, unfinished aesthetic. The chart updates reactively through React’s useState and useEffect hooks.

LLainu Kuruvilla
91% match