Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited May 12, 2021

Created on May 12, 2021

This example displays the top 10 most populous countries as horizontal bars, with country names on the left and numeric population values along the bottom axis. It loads UN population data from 2019 using `d3.csv`, then renders the chart as SVG through React components. The code uses D3’s `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and manually draws tick lines and labels for both axes. React state management and hooks coordinate the asynchronous data loading and conditional rendering.

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 displays the top 10 most populous countries as horizontal bars, with a quantitative x-axis and a categorical y-axis. It uses React for the component structure and D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, while D3’s `csv` loads United Nations World Population Prospects 2019 data. The chart is rendered as SVG, with axis tick marks, labels, and rectangles generated from D3 scales and rendered via React elements.

FFernando Millan

96% 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. It uses React hooks (useState, useEffect, and useCallback) to load data from the United Nations World Population Prospects 2019 via d3.csv, then renders SVG bars and axes. The chart builds axes manually with d3.scaleBand and d3.scaleLinear, using d3.ticks for x-axis tick values and computed positions for y-axis labels, rather than using d3.axisBottom or d3.axisLeft.

SSophia Chiao

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart labeled with axes. It uses React hooks (useState, useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019, then renders bars via SVG rectangles. D3’s scaleBand and scaleLinear position the bars, while manually generated ticks and labels create the x and y axes without d3.axis. The chart updates after loading, with React managing the component state and D3 handling the data scaling and formatting.

NNick Hu

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React state and hooks alongside D3 for data loading and scales. The `d3.csv` function fetches UN population data from 2019, while `d3.scaleBand` and `d3.scaleLinear` position bars and ticks. SVG rendering is managed by React, with D3’s `max` computing the domain. The code manually draws axis tick marks and labels, creating the grid lines shown in red.

Jjamesbrittan

96% match

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 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

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example renders the top 10 most populous countries as horizontal bars using React for component structure and D3 for scales and data loading. It uses `scaleBand` and `scaleLinear` from D3 to map countries and population values to pixel positions, while manually drawing tick marks and labels for both axes. The data comes from the United Nations World Population Prospects 2019 CSV, and the SVG output demonstrates a minimal, self-contained approach to axis generation without D3 axis components.

NNart Williamson

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example shows 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. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and manually renders axis ticks with SVG `<line>` and `<text>` elements. Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously via `d3.csv`, and bars are drawn as `<rect>` elements inside an SVG container.

Ssimrangajsinghani

96% match