Skip to main content
SimilarExport ZIP
100%

Fork of Axes with React & D3

✓ Published0🌍 Public
NNick Pearson
Last edited May 21, 2021
Created on May 21, 2021

This chart displays the top 10 most populous countries as horizontal bars using React and D3 v5, with the data sourced from the UN World Population Prospects 2019. The view is a "pathetic bar chart" that intentionally omits axes, rendering the bars as SVG `<rect>` elements. React’s `useState` and `useEffect` manage the asynchronous CSV loading, while D3’s `scaleBand` and `scaleLinear` map country names and population values to coordinates. The `AxisBottom` and `AxisLeft` components generate tick marks, but the chart does not display them.

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 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

A horizontal bar chart displays the top 10 most populous countries from the UN World Population Prospects 2019 dataset. The chart renders as an SVG using React components, with each bar’s length proportional to the 2020 population estimate. D3’s `scaleBand` and `scaleLinear` APIs position the categorical country labels and numeric population axis, respectively, while `.ticks()` generates gridlines and tick labels. A loading state is shown from React’s `useEffect` until data is fetched via D3’s `csv` parser.

TTheAnswer-Is-42
96% match
Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries using a bar chart rendered with React and D3. It shows a horizontal bar chart with axes, displaying population data from the United Nations World Population Prospects 2019 dataset. The chart uses React hooks (useState, useEffect) to load and process CSV data, while D3's scaleBand and scaleLinear handle the y-axis country categories and x-axis population values. SVG elements, including rect bars, text labels, and grid lines, are generated through React components with manual axis construction rather than D3 axis generators.

Yynwc2006
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 visualizes the top 10 most populous countries as horizontal bars using React and D3, with data from the United Nations World Population Prospects 2019. The chart includes both x-axis ticks from `xScale.ticks()` and y-axis country labels, though it lacks axis lines. D3’s `scaleBand` and `scaleLinear` map the data to SVG rectangles, while React’s `useState` and `useEffect` manage asynchronous CSV loading via `d3.csv`. The SVG is rendered directly through React, making it a hybrid of declarative components and D3 scales.

SSpuddy2884
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 the y-axis listing countries and the x-axis showing population counts. The chart uses React hooks (useState, useEffect) to fetch data from the United Nations World Population Prospects 2019 CSV, while D3 v5 provides the scaleBand and scaleLinear for positioning. Axes are manually constructed with D3’s tick generation and rendered as SVG elements, including vertical grid lines and text labels. The bars are simple SVG rectangles, with the chart wrapped in a React component and rendered via ReactDOM.

Jjpdlourenco98
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
95% 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