Refactored React Bar Chart

100%

Refactored React Bar Chart

✓ Published1🌍 Public

Last edited Feb 19, 2021

Created on Feb 19, 2021

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.

AI-generated description

This bar chart shows the population of the top 10 most populous countries . The data comes from the year 2020 estimate in United Nations: World Population Prospects 2020.

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

94% match

Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of population data for the top 10 countries in 2020, using React to render SVG elements. It fetches the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` from D3 v7 to map country names and population values to screen coordinates. The chart is composed of three reusable React components for the bottom axis, left axis, and the bars themselves, with each axis tick and bar generated as separate SVG elements. The visualization demonstrates a modular, component-based approach to building D3 charts within a React framework.

GGabriel Dias Menezes

94% match

Loading thumbnail…

Refactored Bar Chart

A refactored bar chart visualizes the populations of the ten most populous countries in 2020. The chart uses React state via a custom hook to manage data loading, while D3.js utilities handle scaling and drawing. SVG rendering with `scaleBand` and `scaleLinear` positions horizontal bars, with axes and marks split into separate components. Population data comes from a UN CSV file fetched using D3's `csv` function.

Kkbrookshire420

93% 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

93% 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

93% 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

93% 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

93% match

Loading thumbnail…

Refactored Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis, sourced from the United Nations World Population Prospects 2019. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position bars and axes, while SVG `<rect>` elements render the marks. The code separates concerns into reusable components for the bottom axis, left axis, and marks, and loads data asynchronously via D3’s `csv` parser.

Aamiteshwarr

93% match