A Bar Chart

A Bar Chart

This bar chart displays the number of Zika virus cases for each state, using green bars with black text labels. The visualization initially sorts states alphabetically, then after a five-second delay, the bars transition to a descending order by case count. Each bar includes a tooltip showing the character length of the state name on hover. The chart is built with D3 v3, using SVG rendering, linear and ordinal scales, and axis components. Data comes from the `states-zika.csv` file, with margins adjusted to fit the full chart.

BBrandonStroud

98% match

A Bar Chart

This bar chart displays Zika virus case counts for U.S. states, sorted alphabetically by state name, then transitions to a descending order by case count after a 5-second delay. The bars are rendered in green with black text and axes, using D3.js v3 to generate SVG elements and apply animations via `transition()`. Hovering over a bar triggers a tooltip showing the character length of the state’s name, while the x-axis scales linearly and the y-axis uses an ordinal scale for state labels, with data loaded from the `states-zika.csv` file.

BBrandonStroud

96% match

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

86% match

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`.

US State Map

The map displays Zika virus case counts per US state, colored according to a gradient that encodes the number of cases. Hovering over a state reveals a tooltip with the state name and its case total. The visualization uses D3 v3 to load CSV data and render an SVG map, with state paths defined in a separate JavaScript file and a custom tooltip HTML builder for interaction.

US State Map

This example visualizes the geographic distribution of Zika virus cases across US states, with a choropleth map that uses a sequential color scale to encode the total case count per state. The map is rendered as an SVG using the D3.js v4 library, and includes interactive hover states that display a tooltip with the exact case number for each state. Data is loaded from a CSV file and processed with D3's `d3.csv` function, while the U.S. state boundaries are drawn using a collection of SVG path elements provided by the `uStates.js` library. The coloring applies a logarithmic scale to handle the wide range of case values, from states with just a few cases to those with over a thousand.

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.