Skip to main content
SimilarExport ZIP
100%

Charts

✓ Published0🌍 Public
Rries62
Last edited Aug 25, 2021
Created on Aug 24, 2021
Forked from React Starter

This example presents a horizontal bar chart comparing the populations of the top 10 countries in 1962, using data from the UN Population dataset. The visualization is built with React and D3 v7, rendering SVG elements through a declarative component structure. It employs `d3.csv` to fetch and parse the data, `d3.scaleLinear` for the x-axis, and `d3.scaleBand` for the categorical y-axis. The code also generates grid lines and axis labels using D3's scale methods, with styling applied via CSS.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

UN population

This example renders a horizontal bar chart of the top 10 most populous countries using UN population data for 2020. The visualization uses D3 v7 scales (`scaleBand` for countries, `scaleLinear` for population) within a React 18 component, drawing SVG rectangles whose widths encode population values. Grid lines and axis tick labels are generated from the linear scale's ticks, with country names positioned along the y-axis. The data is loaded asynchronously via `d3.csv` from a GitHub Gist.

OOscar Muindi
89% match
Loading thumbnail…

Rendering Data in bar chart

This example displays a horizontal bar chart of population data for the top 10 countries, sourced from the UN Population 2019 CSV. The chart uses React to render SVG rectangles, with scales created by d3.scaleBand and d3.scaleLinear to position bars and axes. Custom React components (AxisBottom, AxisLeft, Marks) draw the axes and bars, while the useData hook loads and parses the CSV via d3.csv. The visualization effectively compares population sizes through bar lengths, with country names labeled on the left axis.

KKaushik Mishra
89% match
Loading thumbnail…

Visualising UN Data With React & D3

This example shows a horizontal bar chart comparing population figures for the top 10 countries in 2020, using UN population data loaded as CSV. The visualization renders as SVG, with React managing the component state and D3 v7 handling data loading and scales. Key APIs include `csv`, `scaleBand`, and `scaleLinear` for positioning bars and ticks, while React’s `useState` and `useEffect` manage the asynchronous data retrieval. The chart displays country names on the y-axis and population values on the x-axis, with axis ticks and labels generated manually.

JJames Rhodes
89% match
Loading thumbnail…

Bar Chart v1 w/ React & D3

This visualization displays a bar chart of the top 10 most populous countries in 2020, using data from the UN Population dataset. Bars extend horizontally from the left, with each bar's length proportional to the country's population, and countries labeled along the vertical axis. The example integrates React 16.9.0 for the user interface and declarative rendering, while D3 v5.11.0 utilities (`csv`, `scaleBand`, `scaleLinear`, `max`) fetch the CSV data and compute the scales. Both libraries—React for component structure and D3 for data processing—output an SVG graphic.

SSophia Cofone
89% 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
89% match
Loading thumbnail…

Visualize data in React & D3 - use bar chart

This example renders a horizontal bar chart of the top 10 countries by 2020 population, using data fetched from a CSV file of UN population estimates. The React component loads the data with D3’s `csv` utility, then computes scales with `scaleBand` and `scaleLinear`. The SVG output is generated declaratively through React’s JSX syntax, mapping ticks, country labels, and rectangles. The visualization is drawn directly in the browser window, using D3 v5 for data processing and React for rendering.

Ssmile2git
89% match
Loading thumbnail…

Bar Chart

This example displays a horizontal bar chart of 2020 population estimates for the top 10 countries, sourced from UN Population Prospects data loaded via d3.csv (d3-fetch). The React 17 app uses d3.scaleBand for the country axis and d3.scaleLinear for population, rendering SVG rectangles with native `<title>` tooltips. Axes are built manually through React components (AxisBottom, AxisLeft), while d3.format formats population values with SI notation, converting 'G' to 'B'. The chart is styled with a teal fill and Poppins font.

CCarlos Caballero
88% match
Loading thumbnail…

Refactored Bar Chart

This visualization displays a horizontal bar chart of the top 10 countries by population in 2020, using data loaded from a CSV file of UN population estimates. The example demonstrates how to structure a React-based D3 chart with clearly separated axis and mark components, with margins applied to position the left and bottom axes. It uses D3 v7’s scaleBand and scaleLinear for scales, react-fragments to render SVG groups, and a custom useData hook with d3.csv for data fetching. The chart highlights the importance of margin configuration for effective axis placement.

SSong Tao Chen
88% match