Daily variation of barometric pressure (maximum minus minimum for each day) in inches, for the past 12 months. For each of the hand-picked major cities, the 365 daily ranges for that city are histogrammed.
Here "spark" is in reference to sparklines, not Apache Spark. Last year I showed tiny histograms, which I coined as SparkGrams, inside an HTML5-based spreadsheet using the Yahoo! YUI3 Javascript library. At the end of the row or column, a tiny histogram inside a single spreadsheet cell showed at a glance the distribution of data within that row or column.
This time, I'm placing SparkGrams on a map of the United States, so I call these GeoSparkGrams. This time I'm using IPython Notebook and d3.js. The notebook also automatically performs the data download from NOAA.
The motivation behind this analysis is to find the best place to live in the U.S. for those sensitive to barometric volatility.
The above notebook requires IPython Notebook 2.0, which was released on April 1, 2014, for its new inline HTML capability and ease of integrating d3.js.
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