Virus chloropleth West Nile 2015

Virus chloropleth west nile 2016

This choropleth maps the 2015–2016 West Nile virus and Zika virus case counts across U.S. states, using a diverging color scale to encode total reported infections per state. The map renders as an SVG using D3 v3, with state boundaries and a color legend. It relies on two data files—West Nile virus counts (neuroinvasive and non-neuroinvasive cases, deaths, and blood donors) and Zika case counts—to color each state. The visualization is a fork of earlier D3 choropleth examples, and includes interactive tooltips that display the underlying state-level data on hover.

CCodincamper

92% match

West Nile Virus (simplified)

This map of the United States visualizes West Nile Virus cases by state, using a log-scale color gradient (white to black) to encode the total number of reported cases. It is built with D3 v3 and rendered as an SVG choropleth. State boundaries are stroked in gray, and hovering over a state lightly fades its fill color. The underlying data, loaded from a CSV, includes counts of neuroinvasive and non-neuroinvasive disease cases, deaths, and presumptive viremic blood donors, but the default view colors states by total cases. The visualization combines a GeoJSON map of US states with tabular case data, and was adapted from earlier work by Michelle Chandra and Scott Murray, with tooltip and legend code by Malcolm Maclean and Mike Bostock. It also references a gist by 7man10 under an MIT license. The tooltip and legend placeholders are not implemented, so the map only shows the static color-coded chloropleth. The map is accompanied by a CSV of case data for 2012.

77man10

89% match

Virus chloropleth

This interactive choropleth map visualizes the geographic distribution of West Nile virus and Zika virus infections across the United States. Built with D3.js v3 and rendered as an SVG, it uses state-level color encoding to represent disease case counts, with hover tooltips revealing detailed statistics. The visualization includes three datasets—West Nile virus cases from 2015 and 2016, plus Zika virus cases from 2015—with each state's shading reflecting the total number of reported cases. The map is part of the "Bugs to Barcodes" project for GEAR UP Virginia at James Madison University. Users can compare virus incidence geographically, with the choropleth coloring making high-prevalence states like California and Texas immediately visible.

BBrianJPR

89% match

US State Map

This interactive US state map visualizes West Nile virus case data from the provided CSV, using a choropleth color scale where each state’s fill color encodes total reported cases. Hovering over a state highlights it and displays a tooltip with the state name and its case count. The visualization uses D3 v3 and SVG paths to render state boundaries, with hover effects that reduce fill opacity for emphasis. The tooltip is a styled HTML div that appears near the cursor, showing the state name and total cases in a clean table format. The map is accompanied by a legend-less color scale interpolating from light yellow to dark blue, and includes animated transitions for interactive feedback. Data for the map is derived from the provided West Nile virus case counts by state, and the visualization is built by adapting an existing block with the same name. The map is embedded in an HTML page with a full-screen SVG and uses custom JavaScript to bind the data to the state paths.

Virus chloropleth

This map shows state-level surveillance data for West Nile virus and Zika virus infections across the United States. It uses a color-coded choropleth to distinguish total case counts per state, with tooltips revealing detailed figures for neuroinvasive and non-neuroinvasive disease cases, deaths, and presumptive viremic blood donors. Built with D3 v3 and rendered as SVG, the visualization encodes magnitude through graduated fill colors. Users can toggle between datasets for West Nile virus (2015 and 2016) and Zika virus (2015). The map was adapted from prior blocks by Michelle Chandra, Scott Murray, and others, with sources and code publicly available. It serves as an educational resource for the "Bugs to Barcodes" project at James Madison University.

BBrianJPR

Gist f17f6486de12dcbfdbdc304ffaf84c37

This choropleth map visualizes reported West Nile virus cases across U.S. states in 2016, with each state shaded using a color scale from light orange to deep red based on the number of cases. The visualization uses an SVG map with interactive tooltips: hovering over a state highlights it and displays a tooltip with the state name and total cases. The tooltip and hover effects are implemented with D3 v3, and the map supports animation for enhanced interactivity.

US State Map

This interactive map visualizes West Nile virus cases across US states, with each state colored according to a metric and displaying a tooltip with case counts on hover. The choropleth uses a custom color scale interpolating from light yellow to cyan, mapped to state-level case data loaded from a CSV. Hovering over a state highlights it and triggers a tooltip showing the state name and its total number of cases. The map is rendered using SVG paths from the uStates.js library, with smooth color transitions and hover effects provided by D3 v3.

US State Map

This map visualizes West Nile virus cases across US states, with each state colored by a randomized metric (low, average, or high case counts) rather than the actual case data. The choropleth uses an interpolated teal-to-purple color scale, and hovering over a state triggers a tooltip displaying the state name along with its low, average, and high case values. The map is rendered as an SVG with a click/touch interaction, and state boundaries are drawn with thin gray strokes. The visualization is built with D3 v3 and includes animation capabilities. Data is loaded from a CSV file listing neuroinvasive and non-neuroinvasive disease cases per state, though the visual mapping shown uses random sample data rather than the actual values.