Scatter Plot Covid Project

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

Scatter Plot COVID-19 Vaccination and Cases with Dual Axis

This interactive scatter plot shows COVID-19 vaccination rates in blue against reported cases in gray, using a dual y-axis to compare the two disparate data scales. The chart includes a dropdown menu to toggle between partially and fully vaccinated populations, with annotations highlighting key milestones. Built with D3 v6, it uses `scaleTime`, `scaleLinear`, `axisLeft`, `axisRight`, and `selection.join` for enter/update/exit circle transitions, rendering SVG with animated growth on load. Vaccination data comes from Our World in Data, while case counts are sourced from NYT rolling averages.

Scatter Plot Vaccination and Cases

This scatter plot shows how COVID-19 vaccination rates correlate with case counts in the United States, using data from Our World in Data. An interactive dropdown menu lets viewers switch between partially and fully vaccinated metrics, while the chart displays the proportion of the population vaccinated over time. The visualization uses D3 v6 with SVG rendering, employing `scaleTime` and `scaleLinear` for axes, `selection.join` for smooth transitions between data updates, and `d3-svg-annotation` to highlight the maximum vaccination percentage.

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.

Bbudalavijay2001@gmail.com

data visulalization Scatter Plot

This scatter plot visualizes COVID-19 cases by country, plotting total deaths against total cases. Each circle represents a country, with color encoding the continent, and the plot includes axes, labels, and a legend. The code loads CSV data from a GitHub repository, uses D3 v7 scales and SVG rendering to position the circles, and employs `d3.axisBottom` and `d3.axisLeft` to generate the axes.

Scatter Plot Vaccination

This interactive scatter plot visualizes COVID-19 vaccination rates in the United States over time, using data from Our World in Data. The chart displays the percentage of the population that is fully vaccinated against infection, with the y-axis showing the proportion of the population and the x-axis representing dates. Users can toggle between fully and partially vaccinated metrics via a dropdown menu. The visualization uses D3 v6 with SVG rendering and animation, employing scaleTime and scaleLinear scales, axisBottom and axisLeft components, and selection.join for smooth transitions. An annotation label highlights the current maximum vaccination percentage.

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 for Covid

This scatter plot visualizes COVID-19 data for the top 10 countries, showing the relationship between total cases and total deaths. The visualization uses D3.js v7 with SVG rendering to display circles for each country, where the x-axis represents total cases and the y-axis represents total deaths. The code loads CSV data from a GitHub gist, processes it with JavaScript array methods, and uses d3.scaleLinear to create scales for both axes. Axis labels and grid lines are generated using d3.axisBottom and d3.axisLeft, with margins defining the plot area.

MM Hema