Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Feb 17, 2022

Created on Feb 17, 2022

This visualization displays the top 10 most populous countries in 2020 as a bar chart, using the United Nations World Population Prospects 2019 dataset loaded via `d3.csv`. It renders as an SVG with React managing the component state, while D3 provides `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and manual tick generation from `xScale.ticks()`. The chart includes grid lines and axis labels, but no axes components are used, showing a minimalist approach to chart construction.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart, using United Nations World Population Prospects 2019 data loaded via `d3.csv`. It renders SVG with React, computing scales with `scaleBand` and `scaleLinear`, and draws custom axes using `xScale.ticks()` for grid lines and labels. The chart includes a y-axis with country names and an x-axis with population values, all within a React component that manages data fetching with `useState` and `useEffect`.

HHLS

96% match

Loading thumbnail…

Fork of Axes with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, using the United Nations World Population Prospects 2019 dataset. The React component manages state and lifecycle while D3’s `scaleBand` and `scaleLinear` handle positioning. Axes are manually constructed with D3’s `ticks()` method, rendering grid lines, tick labels, and country names as SVG elements. The chart includes minimal styling and no axis titles, presenting a raw, functional view of the data distribution.

Eevers-codeshop-ai

96% match

Loading thumbnail…

Fork of Axes with React & D3

This visualization presents the top 10 most populous countries from the UN World Population Prospects 2019 dataset as horizontal bars. React manages the application state and renders the SVG, while D3.js computes the scales and axes. The code uses `d3.csv`, `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and draws tick lines and country labels with explicit margins.

Cchar0496

96% match

Loading thumbnail…

Fork of Axes with React & D3

This interactive bar chart displays the top 10 most populous countries in 2020 according to the United Nations World Population Prospects 2019. The visualization loads CSV data via `d3.csv` and uses React with hooks (`useState`, `useEffect`) to manage asynchronous data fetching and rendering. D3 v5 constructs the scales: `d3.scaleBand` for countries on the y-axis and `d3.scaleLinear` for population on the x-axis. The SVG output includes gridlines and tick labels via `xScale.ticks()`, with bars drawn as `rect` elements.

GGeekboxer

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example renders the top 10 most populous countries as a horizontal bar chart using React and D3 v5. The bars and manually constructed axes are drawn as SVG elements inside a React component, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Tick marks and labels are generated by iterating over the scales' domains, and the data comes from the United Nations World Population Prospects 2019 CSV. The chart displays population values for 2020, with no axes library used, only custom rendering.

Jjth500

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with population values from the United Nations World Population Prospects 2019. The visualization shows a basic bar chart with axes rendered using React and D3 v5. The code uses `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and manually renders axis ticks and labels as SVG elements. React manages the chart's state and rendering, while D3 handles data loading and scaling.

Ddsibi

95% match

Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for data loading and scales. The chart displays population values from the United Nations World Population Prospects 2019 dataset on the x-axis, while country names appear on the y-axis. The code uses D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions to process data and position bars, with tick marks and labels generated manually via `xScale.ticks()`. All elements are rendered as SVG through React’s declarative JSX, with margins applied via a transform group.

Mmedi11

95% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with custom axes, using React for component state and rendering. It loads data from the United Nations World Population Prospects 2019 CSV via `d3.csv`. Scales are created with `d3.scaleBand` and `d3.scaleLinear`, while axes ticks are manually generated using `xScale.ticks()` and rendered as SVG lines and text. The chart updates asynchronously, showing a loading message until data arrives.

YYedrup

95% match