Group Project Bioinformatics-4-19

Group Project Bioinformaticsnew

This example visualizes the geographic distribution of White House petition signatures as a choropleth heat map of the United States. Built with D3 v3 and rendered as SVG with animation, the map lets users click any state to view its signature count. Color intensity encodes the number of signatures, using a logarithmic scale to handle values that range from a few dozen to over 4,500; the scale is implemented with a linear interpolator as a stand-in, as noted by the author. The data is loaded from UFO_color.csv and joined to state shapes, with the visualization drawing on Mike Bostock's map demo and forked from thedod's clickable US heat-map. The project demonstrates a quick-and-dirty approach to choropleth mapping in d3, with interactivity and animation for a compelling presentation of petition signature distributions across the United States.

91% match

Group Project Bioinformaticsnew1

This visualization combines a choropleth map of the United States with a parallel coordinates plot. The map colors each state according to a logarithmic scale of petition signature counts, with darker shades indicating higher numbers, and clicking a state updates the display. The parallel coordinates chart plots car dataset attributes, using D3’s drag behavior, brushes, and SVG paths for interactive exploration. Both views use D3 v3, with the map relying on `d3.geoPath` and state boundary data from a GeoJSON file.

89% match

Group Project Bioinformatics

This interactive D3.js map visualizes the geographic distribution of White House petition signatures across US states. Users click a state to zoom in and display its exact signature count next to the state abbreviation. A linear color scale applies a logarithmic transformation to the signature data, mapping darker green shades to higher counts. The visualization uses D3’s `d3.geo.albersUsa` projection, `d3.geo.path` for rendering SVG state boundaries, and animated transitions to scale and translate the map on click.

88% match

Group Project Bioinformatics FINAL!!

This visualization presents a choropleth map of the United States where darker colors indicate higher UFO sighting counts per state, using a logarithmic color scale. Users can click on any state to view its specific signature count. The map is rendered with D3 v3, utilizing `d3.geoPath` and `d3.csv` to load the state geometries and data, with an animated transition on selection. The project also includes parallel coordinates charts for exploring multi-dimensional data like income and mental health metrics.

81% match

Group Project Bioinformatics Final Copy!

This visualization displays two years of U.S. state-level data from Final_Data5.csv in an interactive SVG scatterplot with animated transitions. Points represent individual states, colored by year (2013 vs. 2014), with axes mapping a chosen metric pair—such as poverty level against mental health prevalence—among the dataset’s demographic, health, income, and UFO sighting variables. Animated transitions update the points when the year toggles, and hovering reveals the state name and its values for the selected metrics. The chart uses D3 v3 with an MIT license.

78% match

Group Project Bioinformatics Final Copy!

78% match

Group Project Bioinformatics

This visualization compares U.S. state income and population data across three years, animated to show changes over time. Built with D3 v3, it uses SVG elements to render a scatterplot-like display where each state is positioned according to its average income and population. The animation cycles through 2010, 2011, and 2012 datasets, transitioning points smoothly to reveal demographic and economic shifts. Color or size likely encodes population or income values, allowing viewers to track trends across states and years.

77% match

Group Project Bioinformatics