Skip to main content
SimilarExport ZIP
100%

Fork of ICE-6: (Bar Chart)

✓ Published1🌍 Public
Pprathyusha-reddy-arch
Last edited Mar 23, 2023
Created on Mar 23, 2023

This bar chart visualization displays the 2022 population data of countries classified as RICH, sourced from a CSV file of COVID-era data. The React-based app uses D3 v5 APIs including `scaleBand`, `scaleLinear`, and `csv` to load and render horizontal bars as SVG rectangles. Axes are drawn with `axisLeft` and `axisBottom`-style manual tick generation, with purple gridlines along the x-axis. The chart shows only the first eleven countries from the dataset, with each bar’s length proportional to its population value.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population data for the three richest countries, drawn as SVG rectangles within a React component. The chart uses D3 v5’s `scaleBand` for the categorical y-axis (country names) and `scaleLinear` for the quantitative x-axis (population). Data is loaded asynchronously from a remote CSV via `d3.csv`, with axes and tick labels rendered using D3’s scale functions. The visualization is styled with fixed margins and a purple gridline, and the population values are logged to the console during processing.

Mmanishcheruku
90% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

A bar chart visualizes the 2022 population of the top three countries from a CSV file, sorted by their `population_2022` values. The horizontal bars use a band scale for the country names on the y-axis and a linear scale for the population counts on the x-axis, with tick marks and labels drawn via D3's `scaleBand` and `scaleLinear`. The SVG rendering is built with React, using D3's `csv` loader to fetch data, and axis ticks are generated with `xScale.ticks()`. The chart is titled "2022 Population of RICH" and uses purple gridlines along the x-axis.

Ssnehareddygurram
89% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population of RICH, using horizontal bars to compare total deaths across the top three countries from a COVID-19 dataset. The visualization renders as an SVG within a React component, leveraging D3 v5 APIs including `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft`. Data is loaded asynchronously via D3’s `csv` function from a GitHub gist, with only the first three records shown. Axes are drawn manually with tick marks and labels, while purple gridlines extend from the x-axis ticks.

Yyamunaunt
89% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart visualizes the 2022 population data for a subset of countries, displaying only the first three rows from a CSV dataset. The visualization uses D3 v5 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, rendering SVG rectangles as the primary marks. Built with React hooks (`useState` and `useEffect`), the code loads data via `d3.csv` and generates axes using `axisLeft` and `axisBottom`-style components. The chart includes gridlines and tick labels, with the population values encoded as bar widths.

GGogineni44
88% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This visualization displays the 2022 population growth rates of five countries as a horizontal bar chart, with the title “2022 Population of RICH.” The bars encode growth rate via length, while country names appear on the y-axis. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` to position marks, and renders axes and rectangles as SVG elements. Data is loaded asynchronously from a CSV file via `d3.csv` and filtered to the first five rows.

Mmanishcheruku
88% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population of three countries from a CSV file, with each bar’s length encoding the population value. The visualization uses React to manage state and render the SVG, while D3 v5 provides the data loading via `csv`, scales (`scaleBand`, `scaleLinear`), and axis ticks. The chart includes purple vertical gridlines and labeled x- and y-axes, with bar heights fixed to the band width.

Mmanishcheruku
87% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This visualization displays a horizontal bar chart of 2022 population figures for the top three countries from a CSV file, using React to render SVG elements and D3 scales for positioning. The code defines a band scale for country names on the y-axis and a linear scale for population values on the x-axis, with purple grid lines and tick labels generated via `d3.scaleBand`, `d3.scaleLinear`, and `d3.max`. Bars are drawn as `<rect>` elements with widths proportional to population, and the data is loaded asynchronously using `d3.csv`. The chart is rendered inside a React component using `ReactDOM.render`.

Mmanishcheruku
87% match
Loading thumbnail…

Fork of ICE-6

A horizontal bar chart displays the top ten most populous countries, ranked by 2017 population data loaded from a CSV file. The chart uses React for component state and rendering, with D3 v5’s `scaleBand` and `scaleLinear` to map countries and population values to SVG rectangles. Axes are custom-drawn using D3’s array methods, and the visualization updates when new data arrives via a `useEffect` hook.

Ssudhamshu24
86% match