ice-6

100%

✓ Published0🌍 Public

Last edited Mar 24, 2023

Created on Mar 24, 2023

Forked from ice-6

This horizontal bar chart compares the number of ICU available beds against confirmed COVID-19 patients for the top ten states. The visualization uses React hooks with D3 v5 scales, rendering SVG rectangles whose widths represent patient counts, with axis ticks and red gridlines positioned via scaleLinear and scaleBand. Data is loaded asynchronously from a GitHub-hosted CSV file using d3.csv.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

ice-6

This visualization displays the number of hospitalized confirmed COVID-19 patients for each county, using a horizontal bar chart with an orange grid. Built with React and D3 v5, it loads CSV data via `d3.csv`, filters to the top 20 counties, and renders SVG rectangles scaled by `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Tick labels and grid lines are generated from `xScale.ticks()`. The chart updates dynamically when the data loads, showing the title in magenta above the plot.

DDineshK2602

88% match

Loading thumbnail…

ice-6

This example shows the number of hospitalized COVID-confirmed patients per county as a horizontal bar chart, with bars colored orange against a plain SVG backdrop and an axis showing tick values. It uses React with D3 v5, employing `scaleBand` for the county categories and `scaleLinear` for the patient counts, while `csv` loads data from a remote GitHub gist. The visualization renders as raw SVG elements, with gridlines and county labels manually drawn via `select` and standard SVG components.

Hhm0421

86% match

Loading thumbnail…

ice 6

A horizontal bar chart displays the top 10 countries by COVID-19 case counts, with countries listed on the y-axis and case numbers on the x-axis. The visualization uses React to manage state and render SVG elements, while D3 v5 functions like `csv`, `scaleBand`, and `scaleLinear` handle data loading, scaling, and axis ticks. Data is fetched from a GitHub-hosted CSV file.

Bbhargavarathod

86% match

Loading thumbnail…

Fork of ice-6

A horizontal bar chart shows the number of hospitalized confirmed COVID-19 patients for the top 20 counties, fetched from a CSV file via `d3.csv`. The chart uses React state and effects to load data, then renders SVG `rect` elements scaled with `d3.scaleBand` for counties and `d3.scaleLinear` for patient counts. Orange gridlines and tick labels are drawn manually, with axes positioned using SVG transforms.

Hhm0421

85% match

Loading thumbnail…

ICE-6

This example visualizes the relationship between age and BMI in insured individuals using a horizontal bar chart, displaying the top 15 counties by the number of hospitalized COVID-confirmed patients. The chart uses an SVG rendering with React for state management and D3 v5 for scales, axes, and data loading. Specifically, it employs `scaleBand` for the y-axis counties and `scaleLinear` for the x-axis patient counts, with data fetched via `d3.csv` from a GitHub raw URL. The bars are drawn as SVG `<rect>` elements, and custom tick labels replace traditional axes for clarity.

DDineshK2602

85% match

Loading thumbnail…

ICE-6 Bar Chart

This D3.js bar chart visualizes COVID-19 case totals for fifteen U.S. states, sourced from a CSV file fetched via `d3.csv`. The horizontal bars, rendered as SVG rectangles, are scaled with `d3.scaleBand` and `d3.scaleLinear` based on the maximum case count. The chart includes gridlines and axis tick labels generated through custom mapping functions, and is built within a React component using `useState` and `useEffect` hooks, with styling applied via inline attributes.

Ggayuvurukuti@gmail.com

85% match

Loading thumbnail…

ICE-6 - 11629157

This visualization presents a horizontal bar chart of COVID-19 total cases for the top 20 countries, using a dataset loaded from a CSV file via d3.csv. The bars are rendered as SVG rectangles within a React component, with scales and axes created using d3.scaleBand and d3.scaleLinear. Gridlines, tick labels, and y-axis labels are generated by mapping over the scale ticks and domain. The chart is displayed at 960 by 550 pixels, with margins and a title heading, and is built as a React app rendered through ReactDOM into an HTML page.

NNiharika-Guthikonda

84% match

Loading thumbnail…

ICE 6

This visualization displays the first 20 countries from a COVID-19 dataset as a horizontal bar chart, with bar lengths representing confirmed cases on January 28, 2020. The React component loads data via d3.csv and renders SVG rectangles using d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis. Grid lines and tick labels are manually generated from the scales, with a blue stroke for vertical lines. The chart updates once data arrives, showing a loading message beforehand.

AAmar09nath

84% match