Skip to main content
SimilarExport ZIP
100%

Fork of Fork of data visulization

✓ Published0🌍 Public
Yyingzhe-z
Last edited Apr 1, 2021
Created on Apr 1, 2021

This example shows a horizontal bar chart of country populations, using bar length to encode population values and vertical position to encode country names. The visualization renders as SVG with steel-blue bars and axes, drawing from a CSV file that is loaded asynchronously and preprocessed by multiplying population values by 1,000. The code uses D3 v6 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `max` within a React context, though the primary rendering is handled directly with D3 selections and SVG elements.

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 data visulization

This bar chart displays the populations of 335 country codes, where each bar's length corresponds to the population value. The visualization uses D3.js v6 within a React framework to render the data as SVG. The code loads data from a CSV file, scales the population values (multiplied by 1000), and uses `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Axis labels are generated using `axisLeft` and `axisBottom`, while the bars themselves are appended as SVG rectangles.

HHarsh Patel
92% match
Loading thumbnail…

Fork of data visulization

This bar chart displays population data for six countries, sourced from a local CSV file, with each bar’s length proportional to the population value (scaled by 1,000). Using D3 v6, the code employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for categorical y-axis spacing, and `d3.axisLeft`/`d3.axisBottom` to render axes. The SVG is appended and styled via CSS, with margins applied to position the chart within a 960×500 viewport.

Yyingzhe-z
92% match
Loading thumbnail…

Fork of d3js

This example renders a horizontal bar chart of country populations using a React-free HTML page. It loads data from data.csv via `d3.csv`, then scales the values by 10 million. The visualization uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` to draw the axes. Bars are appended as SVG `rect` elements within a grouped `<g>` transform, with height set by `yScale.bandwidth` and width proportional to population.

BBloodmark
91% match
Loading thumbnail…

Fork of Bar Chart using D3

This horizontal bar chart displays population figures for ten countries using a forked D3 example. The visualization maps country names to the y-axis with a band scale and population values to the x-axis with a linear scale. The code imports specific D3 modules like `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data from a CSV file and render SVG rectangles with steelblue fills. Axes are generated using D3’s axis components, with margins applied around the chart area.

Aalisha-zemoso
89% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This visualization displays a horizontal bar chart of 2020 population estimates for countries, rendered as SVG using React and D3 v5. It loads CSV data from a GitHub gist via D3’s `csv` utility, then maps the parsed data to `rect` elements. React handles the UI state and component structure, while D3’s `scaleBand` and `scaleLinear` position the bars, and `max` computes the domain. The visualization updates once the asynchronous data fetch completes, initially showing a loading message.

Rreactivicky
89% match
Loading thumbnail…

Fork of Fork of Fork of Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart ranking the ten most populous countries, with the heading “highest population” and bars rendered in steelblue. It loads CSV data from a GitHub gist, parses the population column, and uses React hooks (useState, useEffect) to manage asynchronous data loading. D3 v5 modules (scaleBand, scaleLinear, max, csv) compute the scales and data parsing, while React elements generate SVG rects and tick labels. The visualization demonstrates a hybrid approach where D3 handles data preparation and scales, and React handles the rendering of marks and axes.

Ddivyakota99
89% match
Loading thumbnail…

Fork of bar_char 2

This example visualizes the population of ten countries in 2020 using horizontal bars in an SVG rendered by React. It loads data from a CSV file via D3’s `csv` utility, parses the population column, and stores it in React state. A D3 `scaleBand` positions each country along the y-axis, while a `scaleLinear` maps population values to bar widths, with margins applied to the chart layout.

TTanupat B.
88% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of 2019 population data for various countries, with bar lengths proportional to each country's population and bars stacked vertically without spacing. The visualization is built using React and D3 v5, where D3’s `scaleBand` and `scaleLinear` map country names to y-coordinates and population values to bar widths within an SVG canvas. Data is loaded asynchronously from a CSV file via D3’s `csv` function, and the React component uses `useEffect` and `useState` to fetch and render the chart once the data arrives.

Mmikekslv
88% match