Grid Multiplot COVID-19 cases & vaccinated in US population

Annotated Grid Multiplot COVID-19 cases & vaccinated in US population

This example shows a multiplot of COVID-19 cases and vaccination rates in the U.S. population, rendered as two animated scatter plots from the NY Times and Our World in Data datasets. Each plot includes interactive menus for switching between case/death metrics and partial/full vaccination, while a d3-svg-annotation label highlights the peak vaccination percentage. The reusable chart pattern, inspired by Towards Reusable Charts, uses D3 scales, axes, transitions, and modular functions to build the responsive SVG visualizations.

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Fork of Fork of Annotated Grid Multiplot COVID-19 cases & vaccinated in US population

This visualization compares COVID-19 cases and deaths in the US against vaccination rates using two annotated scatter plots stacked vertically. It plots time-series data from the NY Times and Our World in Data, rendered as SVG animations with D3.js. The top chart displays cases or deaths via a dropdown menu, while the bottom shows fully or partially vaccinated percentages, with an annotation highlighting the peak vaccination rate.

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Fork of Annotated Grid Multiplot COVID-19 cases & vaccinated in US population

This example displays two time-series scatter plots tracking COVID-19 cases and vaccination rates across the US population, using data from the NY Times and Our World in Data. The upper plot shows rolling averages of cases or deaths, while the lower plot displays the percentage of people vaccinated, with an annotation highlighting the peak vaccination value. Built with D3.js, the visualization uses `scaleTime` and `scaleLinear` for axes, `d3.annotationLabel` for annotations, and animated transitions via `transition.duration`.

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Multiplot COVID-19 impact on health of US population

This multiplot visualization tracks the impact of COVID-19 on the US population by displaying daily case and death averages as a scatter plot, rendered with D3’s scaleTime and scaleLinear functions. Users can switch between cases and deaths via a dropdown menu, which triggers smooth transitions on circle positions. The data comes from the New York Times rolling-averages dataset, featuring an animated reveal of points and dual month/year axes. A second, commented-out chart uses Our World in Data to show vaccination percentages, though it remains inactive.

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Fork of Scatter Plot COVID-19 Vaccination and Cases with Dual Axis

This interactive scatter plot visualizes COVID-19 vaccination rates (in blue) against reported case counts (in gray) for the US population, using a dual y-axis. The visualization animates data points over time using D3 v6 and SVG, with vaccination data from Our World in Data and case data from the NYT. Users can toggle between partial and fully vaccinated metrics via a custom menu. The code employs D3 scales, axes, transitions, and the `selection.join` pattern for reusable chart components.

RRochisman Datta

Fork of Scatter Plot Vaccination and Cases

This scatter plot visualizes the relationship between COVID-19 vaccination rates and infection cases in the United States over time. It overlays two datasets—vaccination percentages from Our World in Data and case counts from the New York Times—on a shared date axis, with annotations highlighting the final date's progress. The visualization uses D3.js v6, specifically `scaleTime`, `scaleLinear`, `selection.join` for animated circle transitions, and `d3-annotation` for labels. SVG rendering animates circles growing from zero radius while a dropdown menu allows switching between partial and fully vaccinated metrics.

Scatter Plot COVID-19 Vaccination and Cases with Dual Axis

This scatter plot shows the relationship between COVID-19 vaccination rates in blue and reported case counts in gray for the US population, with a dual y-axis for the two metrics. An interactive menu lets viewers toggle between partially and fully vaccinated proportions. The visualization uses D3 v6 with the `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `axisRight` APIs, and animates circle positioning via `transition` and `selection.join`. Data comes from the CDC and NYT rolling averages, with vaccination values normalized by US population size.

Xxiaojingwu138

Scatter Plot COVID-19 Vaccination and Cases with Dual Axis

This interactive dual-axis scatter plot visualizes the relationship between COVID-19 vaccination rates (blue circles) and reported cases (gray circles) in the United States over time, using D3 version 6 with SVG rendering and animated transitions. It draws on CDC vaccination data and NYT rolling averages, scaling vaccination proportions against raw case counts with separate y-axes. The visualization includes a dropdown menu to toggle between partially and fully vaccinated metrics, and uses D3’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, `axisRight`, and selection joins with transitions for the animation.

Xxiaojingwu138