fresh block

fresh block

A blank SVG canvas with a single text element reading an empty label in the Wingdings font. The visualization loads two datasets of West Nile virus case counts by U.S. state for 2015 and 2016, but the code does not parse or render them. The example relies on d3.v4 to append the SVG and set basic attributes, with no data binding, scales, or layout functions implemented.

83% match

Virus chloropleth west nile 2016

This D3.js (v3) SVG choropleth map displays total reported West Nile virus cases for each U.S. state in 2016, using a logarithmic color scale from cyan to black. State boundaries are rendered via the AlbersUSA projection, and hovering over a state triggers a tooltip showing its name and case count. The data is loaded from a local text file, and the map is built by merging CSV values with a GeoJSON file of U.S. state shapes.

82% 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

81% 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.

HHeywhoyou22

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

West Nile Virus (simplified)

This visualization is a choropleth map of the United States showing West Nile virus cases by state, using a logarithmic color scale from pink to red to represent the number of total cases. Tooltips appear on hover to reveal state-specific data. The map is rendered as SVG using D3 v3, with `d3.geo.albersUsa` for the projection and `d3.geo.path` for drawing state boundaries. Data is loaded from a CSV file and merged with US state GeoJSON, while the color legend and hover effects are adapted from examples by Scott Murray, Malcolm Maclean, and Mike Bostock.

Virus chloropleth West Nile 2015

This map shows the total number of West Nile virus cases per U.S. state in 2015, with a logarithmic color scale ranging from cyan to black and a tooltip displaying exact values on hover. Built with D3 v3, it uses `d3.geo.albersUsa` and `d3.geo.path` to render SVG state boundaries from a GeoJSON file, while case data is loaded from a CSV and joined to the map features. The visualization is a modified version of Michelle Chandra’s basic U.S. state map, incorporating tooltip and legend code from other D3 examples.

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