Covid Vaers Bar chart

100%

Covid Vaers Bar chart

✓ Published0🌍 Public

Last edited May 24, 2022

Created on May 22, 2022

This bar chart visualizes hospital stay durations for COVID-19 vaccine adverse event reports, plotting patient ages on the x-axis against days hospitalized on the y-axis. Using D3 v6 with SVG rendering, the code employs `scaleBand` for the age categories and `scaleLinear` for the hospital days, while `axisBottom` and `axisLeft` generate the labeled axes. The visualization loads data from a local CSV file and initially parses numeric fields before rendering the static chart, with commented-out rect elements suggesting potential interactive hover animations that are not active.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making bar chart

A horizontal bar chart displays COVID-19 case counts per country, with bars ordered by the data’s CSV order. The visualization uses D3 v5’s `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `axisLeft`/`axisBottom` for gridlines. Data is loaded via `d3.csv` and rendered as SVG rectangles with a steelblue fill, while a clickable “Hello” button triggers a browser alert.

Llori99-data

75% match

Loading thumbnail…

Making a Bar Chart

This animated scatter plot compares COVID-19 vaccination rates (blue) against reported case counts (gray) in the US, using dual y-axes with proportional data drawn from CDC vaccination counts and NYT 7-day average case data. Built with D3 v5, the chart uses `scaleTime`, `scaleLinear`, `axisLeft`, `axisRight`, and `transition` to animate points as they grow and reposition over time. Interactive dropdown menus, implemented via a reusable `menu` component, allow switching between partial and fully vaccinated metrics, while annotations highlight key dates and case reduction percentages.

Xxiaojingwu138

75% match

Loading thumbnail…

CSCE 5320 ICE-6

This example shows the relationship between hospitalized COVID suspected and confirmed patients across 15 counties, using a horizontal bar chart rendered as SVG. Each bar’s length encodes the count of hospitalized suspected patients per county, with axes and tick labels generated manually. The code uses React for component state and lifecycle, alongside D3 v5 functions including `csv`, `scaleBand`, `scaleLinear`, and `max`. Data is loaded from a GitHub gist URL and sliced to the first 15 rows, with bars drawn using SVG `<rect>` elements and red gridlines.

DDineshK2602

75% match

Loading thumbnail…

Untitled

This visualization displays COVID-19 total cases by location using a bar chart rendered with SVG. It loads data from a CSV file via d3.csv, then uses d3.scaleBand for the categorical x-axis and d3.scaleLinear for the y-axis, with a fixed domain of 0 to 13. The bars are drawn as rectangles with a teal fill, and axis labels are rotated for readability. The chart is built with d3.v4 within a React framework, though the core logic is plain D3 JavaScript.

Bbhargav83

74% match

Loading thumbnail…

Let's make a BarChart 2

This example displays a time-series bar chart of daily COVID-19 case counts from August to September 2020. The bars are animated into view, and hovering over a bar changes its opacity and reveals a tooltip. The visualization uses D3 v6 to parse the CSV data, map dates to the x-axis via `d3.scaleTime` and case numbers to the y-axis with `d3.scaleLinear`, and render the bars as SVG rectangles. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, while mouse interactions rely on D3’s selection and transition APIs.

SST-commits

74% 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

74% match

Loading thumbnail…

covid vaccines

This visualization displays total COVID-19 vaccinations by location, using a bar chart where each bar is colored by vaccine manufacturer. The chart ranks locations from highest to lowest vaccination totals, with tooltips revealing precise values on hover. Built with the Vega-Lite API on top of D3.js v5, it loads CSV data from a GitHub gist and renders as an SVG canvas. The code customizes axis tick colors and font styles through a config object to improve readability.

Bbhargav83

74% match

Loading thumbnail…

Stylized Bar Chart with Menus success

This interactive bar chart displays the top 20 hospitals by number of vacant COVID-19 beds, sourced from a CSV file of Covid Bed Status data. Users can switch the x-axis metric among three attributes—Total ICU Beds, Total COVID Beds, and Total COVID Vacant—via a dropdown menu. The visualization is rendered as an SVG using React components, with D3.js handling scales, axes, and data binding through functions like `scaleBand`, `scaleLinear`, and `csv`. Styled with the Poppins font, the chart updates reactively to the selected attribute.

Vvigneswaran009

74% match