Skip to main content
SimilarExport ZIP
100%

Finished map

✓ Published0🌍 Public
TTylerVaughan
Last edited Feb 27, 2018
Created on Feb 27, 2018

This map of the United States visualizes reported Zika virus cases in 2016, with states colored on a sequential orange scale using a logarithmic transform to handle skewed case counts. The map is rendered as an SVG with hover interactions that display a tooltip containing the state name and total cases. State boundaries are outlined in gray and highlight on hover, while the tooltip appears with a dark background and white text. The visualization also includes animation capabilities and uses D3 v4 with a log scale for color encoding.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/TylerVaughan/'>TylerVaughan</a>'s block: <a href='http://bl.ocks.org/TylerVaughan/50aa84b535f0d34459fb9b3322b122ea'>fresh block</a>

mit Licensed

Similar vizzes

Loading thumbnail…

US State Map

This visualization is a choropleth map of the United States, colored to show the number of Zika virus cases reported in each state during 2016. It uses a logarithmic color scale to differentiate the magnitude of cases, with darker shades of orange representing higher counts. The map is rendered using D3 v4's SVG paths for each state, and hovering over a state reveals a tooltip with the exact number of cases. The data is loaded from a CSV file using `d3.csv`.

LLaurynKW
91% match
Loading thumbnail…

US State Map

This visualization displays a choropleth map of the United States showing reported Zika virus cases by state in 2016. Each state is colored on a gradient from black to white based on its case count, with hover interactions that reveal exact figures through a tooltip. The map is rendered as SVG using D3 v3, with state paths and data loaded from CSV files via `d3.csv`. The tooltip displays case data alongside a simple table, and the `uStates.draw` function handles map rendering and interactions.

CCraftbd
90% match
Loading thumbnail…

fresh block

This visualization shows a choropleth map of the United States colored by reported Zika virus cases from a 2016 dataset. Each state is filled with a sequential orange color scale using a log transform, so the fill reflects the relative case counts. Hovering over a state triggers a dark tooltip that displays the state name and its case total, while the state itself becomes slightly transparent. The map is rendered in SVG and animated states update as the data loads, with the color scale computed dynamically from the data range.

TTylerVaughan
90% match
Loading thumbnail…

US State Map

This interactive map of the United States displays 2016 Zika case counts by state, with each state colored on a white-to-blue scale. Hovering over a state triggers a tooltip showing the state name and its case count. The map is rendered using D3 v3 with SVG paths for each state, and the tooltip appears dynamically based on mouse position. Data is loaded from a CSV file and bound to the geographic shapes, with hover interactions providing detailed information. The visualization includes all US states and the District of Columbia, with Alaska and Hawaii positioned separately from the contiguous states.

TTylerVaughan
89% match
Loading thumbnail…

Zika Virus 2015

This choropleth map visualizes Zika virus cases across the United States in 2015, with states colored on a logarithmic scale from white to black based on total reported cases. Built with D3 v3 and an Albers USA projection, the map renders each state as an SVG path, with the color encoding derived from the "Total cases" column of the dataset. States with zero cases remain white, while those with higher case counts appear progressively darker—California leads with 13 cases, followed by Florida with 9 and Texas with 8, creating a visual hierarchy of geographic impact. The map includes interactive tooltips on hover, implemented using Malcolm Maclean's tooltip pattern, and a legend adapted from Mike Bostock's example, allowing viewers to quickly identify states with higher Zika virus activity. This simple choropleth, adapted from Scott Murray's approach and earlier West Nile Virus examples, uses a log color scale to differentiate case counts across the United States.

77man10
89% match
Loading thumbnail…

US State Map

This choropleth map of the United States displays Zika virus case counts by state, with each state colored on a grayscale gradient from black to white based on its reported cases. Hovering over a state triggers a tooltip that lists the low, average, and high case numbers for that region. The map is built with D3 v3 and uses an SVG rendering approach, loading state paths from a pre-defined `uStates.js` object and binding the Zika data from an external CSV file. The tooltip HTML is generated dynamically through a custom `tooltipHtml` function, and the color scale uses `d3.interpolate` to map case counts to shades.

HHeywhoyou22
88% match
Loading thumbnail…

fresh block

This animated choropleth map visualizes reported Zika cases across U.S. states in 2016, drawing state boundaries from the included uStates.js dataset and loading case counts from a CSV file. Each state is colored using an interpolated scale from pink to green based on randomized low, average, and high case values, with a hover tooltip displaying these figures. Built with D3 v3 and SVG, the map renders state paths and animates the tooltip on mouseover, providing an interactive overview of the data.

TTylerVaughan
88% match
Loading thumbnail…

US State Map

A choropleth map of the United States displays Zika virus case counts by state, with darker purple shades representing higher case numbers. Hovering over a state reveals a tooltip with the state name and its total case count. The visualization uses d3.csv to load the zika_2016.csv data, and the uStates.js library to draw the SVG state paths. Interactive hover effects and tooltips are implemented with D3 event handling and a custom HTML tooltip, providing a clear geographic overview of the outbreak's distribution.

LLaurynKW
88% match