Chlamydia

100%

✓ Published0🌍 Public

Last edited Jul 28, 2017

Created on Jul 28, 2017

This choropleth map visualizes chlamydia infection rates across U.S. counties, with each county shaded according to its rate from the accompanying CSV file. Built with D3 v4 and rendered as SVG, the visualization uses a color scale to encode the rate values—ranging from low to high—across geographic regions. The data, sourced from a gist by aawiegel, is mapped by county FIPS codes and rendered on a map using d3.geo, with missing or blank rates handled appropriately. The project is forked from an existing block and built with Blockbuilder, licensed under MIT.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/andrewdblevins/'>andrewdblevins</a>'s block: <a href='http://bl.ocks.org/andrewdblevins/c014df6a2324c3eb28367001163df6aa'>Chlamydia</a>

mit Licensed

Similar vizzes

Loading thumbnail…

Chlamydia

This visualization shows chlamydia rates by U.S. county, using the FIPS code as an identifier and the rate per 100,000 people as the quantitative value. The data is loaded from a CSV file and rendered as an SVG choropleth map, with counties colored according to their reported chlamydia rates. Built with D3 v4, the visualization uses a threshold or quantize scale to map the rate values to a color range, likely from light to dark, to convey the geographic distribution of chlamydia cases across the United States. The map provides a county-level view of disease prevalence, with missing values for some counties left blank. The code is organized for blockbuilder.org and uses the standard D3 projection and path rendering for the map.

Aandrewdblevins

95% match

Loading thumbnail…

fresh block

This visualization is a choropleth map of the United States showing chlamydia rates by county, colored on a blue scale from light to dark based on the rate value. The map is rendered in SVG using d3.v4, with county boundaries drawn and each county filled according to its associated rate from the chlamydia.csv dataset. Counties with missing data appear blank. The visualization uses a sequential color scale to represent the range of rates across the country, with darker shades indicating higher rates. The map displays data for all U.S. counties and includes Alaska and Hawaii insets. The visualization was created with Blockbuilder.org and uses an MIT license.

Aaaronmunoz

90% match

Loading thumbnail…

fresh block

This visualization is a choropleth map of the United States showing chlamydia rates by county. Each county is colored according to its rate value, using a sequential color scale that ranges from light to dark shades, with missing data represented by blank areas. The map is rendered as SVG using D3 v4, with the color encoding driven by the rate column in the associated CSV data file.

VVishwacorp

89% match

Loading thumbnail…

Choropleth

This choropleth maps the reported Lyme disease rates across U.S. counties from 2000 to 2015 using data from the CDC. An interactive slider animates the color-coded rates for each year, with county fill colors derived from a threshold color scale. Hovering a county reveals a tooltip comparing its 2000 and 2015 case counts and the change between them. The visualization uses D3 v3 with `d3.geo.albersUsa` for the projection, `d3.geo.path` for rendering, and `d3.nest` to organize the data by county and year.

CCrunchytoastmmm

77% match

Loading thumbnail…

Choropleth

A choropleth map visualizes the reported incidence of Lyme disease across U.S. counties for each year from 2000 to 2015. An interactive slider lets viewers animate through the years, updating the color fill of each county based on its case rate. The visualization employs D3.js (v3), using `d3.geo.albersUsa` for the map projection, `d3.geo.path` to render geographic shapes, and `d3.nest` to organize the CSV data by county and year. A tooltip, styled with the `d3.select` API, reveals the reported cases for 2000 and 2015 and the change between them on hover. County boundaries are drawn from a TopoJSON file, with state borders outlined in white.

CCrunchytoastmmm

77% match

Loading thumbnail…

State of the STDs v3

This visualization tracks the incidence rates of gonorrhea and chlamydia across U.S. states from 1984 through 2014. Each state is rendered as a small geographic shape, positioned on a scatterplot according to its disease rates for the currently displayed year. An animation scrubs through time, interpolating state positions as their reported rates change, with a large year label and a draggable overlay to control playback. The chart uses SVG and D3 v4 to draw the shapes and axes.

Aandrewdblevins

76% match

Loading thumbnail…

State of the STDs v2

State of the STDs v2 animates a choropleth of US state-level gonorrhea and chlamydia rates from 1984 onward, with each state drawn as a small polygon positioned by its disease rates on a scatterplot. The visualization uses a D3 v4 SVG implementation with a 30-second transition tweening through yearly data, displaying state shapes as dots scaled along gonorrhea (x-axis) and chlamydia (y-axis) rates per 100,000. Mouseover on the year label enables scrubbing through time.

Aandrewdblevins

76% match

Loading thumbnail…

Choropleth

This choropleth map visualizes reported Lyme disease cases across U.S. counties from 2000 to 2015, using a threshold color scale to encode incidence rates from light to dark orange. A slider animates through each year, updating the map's fill colors, while hovering over a county displays a tooltip with the reported case counts for 2000 and 2015, plus the change between them. The visualization is built with D3.js (v3), using the `d3.geo.albersUsa` projection, `topojson` for geographic data, and `d3.scale.threshold` for color mapping, with data sourced from the CDC.

CCrunchytoastmmm

76% match