Skip to main content
SimilarExport ZIP
100%

Fork of Fork of fork1

✓ Published0🌍 Public
RRamyapriyaPutta
Last edited Mar 6, 2022
Created on Mar 6, 2022
Forked from Fork of fork

This fork shows a horizontal bar chart of the top 10 most populous countries, using data from the year 2019. The visualization renders to SVG via React and uses D3's `scaleBand` and `scaleLinear` to map country names and population values to coordinates. Axes and grid lines are drawn using `axisLeft`, `axisBottom`, and `ticks()`. The dataset is loaded from a CSV URL, though the URL is empty in the code.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of fork

This example displays a horizontal bar chart of the top 10 most populous countries, using population data from 2019 loaded via `d3.csv`. The visualization is built with React and rendered as SVG, with `d3.scaleBand` positioning the country labels and `d3.scaleLinear` mapping population values to bar widths. Grid lines and tick marks are generated manually using `xScale.ticks()`, and axes are drawn with custom SVG elements rather than D3’s axis components. The chart updates reactively when the CSV data finishes loading.

RRamyapriyaPutta
96% match
Loading thumbnail…

fork

This visualization displays a horizontal bar chart of the top 10 most populous countries for 2019, with country names on the y-axis and population values on the x-axis. The chart uses React state and hooks to load and manage data, while D3 v5 handles the scaling and rendering through `scaleBand` and `scaleLinear` functions. Data is fetched asynchronously via `d3.csv` from a GitHub-hosted CSV file, with population values parsed as numbers. The SVG output includes manually drawn axes, gridlines, and blue bars, bypassing D3's axis generators in favor of custom tick rendering.

RRamyapriyaPutta
94% match
Loading thumbnail…

Fork of Fork of bar_char 3 axis

This horizontal bar chart displays the top 10 most populous countries in 2020, using data loaded from a CSV via D3’s `csv` utility. Bars are drawn as SVG rectangles, with a band scale for country names on the y-axis and a linear scale for population on the x-axis, including gridlines and tick labels generated from `xScale.ticks()`. React’s `useState` and `useEffect` manage the asynchronous data loading and rendering state.

TTanupat B.
91% match
Loading thumbnail…

Fork of Axes with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, using a fork of React and D3. It renders SVG bars scaled by population, with x-axis ticks and y-axis country labels. The code uses React hooks (`useState`, `useEffect`) to fetch and manage data, alongside D3 v5 scales (`scaleBand`, `scaleLinear`), `csv` parsing, and `max` aggregation. Data comes from the United Nations World Population Prospects 2019 dataset via a provided URL.

FfaridTalmat
90% match
Loading thumbnail…

Fork of working Fork of Fork of Fork of Fork of Fork 999 of Stylized Bar Chart

This fork of a stylized bar chart displays the top 10 most populous countries. Built with React and D3 v5, the visualization uses `scaleBand` for the x-axis and `scaleLinear` for the y-axis, with SVG rectangles for bars. The data comes from the United Nations World Population Prospects 2019. The code includes commented-out attempts at rotating axis labels and adjusting bar heights, reflecting an iterative development process. The y-axis uses a custom tick format converting G to B for billions.

Ssucotton9
90% match
Loading thumbnail…

Fork of Fork of Stylized Bar Chart

This visualization displays the top 10 most populous countries as horizontal bars using React and D3 v5’s `scaleBand` and `scaleLinear`. It renders SVG rectangles for each country, with axes generated by custom `AxisBottom` and `AxisLeft` components. The data comes from the UN World Population Prospects 2019 CSV, loaded via D3’s `csv` function. Styling includes Poppins font and teal marks, with tooltips showing formatted population values.

Aarjun-lab663
89% match
Loading thumbnail…

Fork of Fork of Stylized Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population counts on the x-axis. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning, and d3.csv to load United Nations World Population Prospects 2019 data. The d3.format function customizes axis tick labels, while native SVG `<title>` elements provide tooltips on hover.

Vvivekananth-code
89% match
Loading thumbnail…

Fork of Fork of Stylized Bar Chart

This example visualizes the top 10 most populous countries using a horizontal bar chart, with each bar’s length proportional to population. The chart is rendered as SVG using React components, with scales from d3.scaleBand and d3.scaleLinear handling positioning. Axes are custom-built in React, and tooltips are provided via SVG `<title>` elements. Data comes from the UN World Population Prospects 2019, loaded and parsed with d3.csv.

Ssainitish1999
89% match