Axis with React and D3

100%

Axis with React and D3

✓ Published1🌍 Public

Last edited Oct 11, 2021

Created on Oct 10, 2021

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React components to render SVG elements. The `useData` hook loads the UN World Population Prospects 2019 CSV and parses the population column. D3 scales (`scaleBand`, `scaleLinear`) map data to coordinates, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. React passes scales and data as props to these components, which use D3’s `ticks()` and domain methods to create the axis visuals.

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…

Axis with React & D3

This example shows the top 10 most populous countries as a horizontal bar chart with axes, using population data from the United Nations World Population Prospects 2019. The chart renders as SVG through React, with state managed via `useState` and `useEffect`. Axes are built manually using D3 scales: `scaleBand` positions country labels on the y-axis, while `scaleLinear` positions numeric tick marks on the x-axis, with tick values generated by `xScale.ticks()`. D3’s `csv` loader fetches and parses the data, and `max` determines the domain for the x-scale.

YYenTingWu

96% match

Loading thumbnail…

Axis with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, with axes rendered using React components that call D3 scales. It uses d3.csv to load population data from the United Nations World Population Prospects 2019, d3.scaleBand and d3.scaleLinear to map countries and population values, and maps over xScale.ticks() to generate gridlines and tick labels. The chart is composed of SVG elements inside a React functional component, with each rect, line, and text element created imperatively.

11tang

96% match

Loading thumbnail…

Axis With React and D3

This example shows a horizontal bar chart of the top 10 countries by population from the UN Population 2019 dataset. It uses React hooks like `useState` and `useEffect` to load and store the data, while d3’s `csv`, `scaleBand`, `scaleLinear`, and `max` utilities handle data parsing and scaling. React renders the SVG elements—including gridlines, ticks, and rectangles—by iterating over the scales, resulting in a fully React-managed visualization. The axis ticks are generated from the linear scale’s `ticks` method.

BbeauMarko

95% match

Loading thumbnail…

Axis with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG using React components. The code loads data from a CSV file of UN population estimates via the `csv` function from D3 v5, then uses `scaleLinear` for the x-axis and `scaleBand` for the y-axis. React's `useState` and `useEffect` hooks manage asynchronous data loading, while ReactDOM renders the chart and D3-generated tick marks. The visualization combines React's component model with D3's scales and axis utilities for a straightforward data-driven layout.

GGul Jamal Zim

95% match

Loading thumbnail…

Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for scales and rendering. The code explicitly builds x-axis ticks with `xScale.ticks()` and y-axis labels from the scale’s domain, drawing SVG lines and text elements. It loads data from the United Nations World Population Prospects 2019 via `d3.csv`, applies a linear scale for population and a band scale for countries, and renders the chart as SVG within a React component.

YYibo Zhang

95% match

Loading thumbnail…

Axes with React & D3

This example renders a bar chart of the top 10 most populous countries from United Nations World Population Prospects 2019 data, displayed using React-managed SVG elements. D3 v5 provides the scales: `scaleBand` for countries on the y-axis and `scaleLinear` for population on the x-axis, with manually drawn axis ticks and labels computed via `xScale.ticks()`. React hooks `useState` and `useEffect` handle asynchronous CSV loading and data updates. The chart lacks axis lines or gridlines, showing only tick marks and country names.

JJadeJOy

95% match

Loading thumbnail…

Axes with react+d3

A bar chart displays the top 10 most populous countries using United Nations World Population Prospects 2019 data, with SVG bars and React components for the axes. The chart uses d3.scaleBand and d3.scaleLinear for positioning, while custom React components (AxisBottom, AxisLeft, Marks) render ticks, labels, and rectangles instead of d3.axis. The bottom axis maps tick values through xScale, and the left axis uses yScale.domain() with bandwidth offsets for categorical labels. Data loads asynchronously via d3.csv and is sorted by filtering the first ten rows.

EElliot Hill

95% match

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered with React components as SVG elements. The code loads the UN population dataset asynchronously using `d3.csv`, then uses `scaleBand` and `scaleLinear` to position bars and generate tick marks for both axes. React manages the loading state and renders the chart only after data arrives. Custom axis lines and labels are created manually from the scales' tick values, avoiding the D3 axis component altogether.

MMorgan Worrell

94% match