Timothy Dobbins tmthyjames

## SQLCell.ipynb

      
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                tmthyjames
                / SQLCell.ipynb
            
            
              Created
              August 14, 2016 22:53
            
              
                SQL Magic Function for Jupyter Notebook
              
          
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## stealth_scraping.ipynb

      
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                tmthyjames
                / stealth_scraping.ipynb
            
            
              Created
              August 27, 2016 23:45
            
              
                Scraping EPA data using randomized time delays and a PhantomJS headless browser
              
          
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## KNNNBA.ipynb

      
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                tmthyjames
                / KNNNBA.ipynb
            
            
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              January 23, 2017 01:10
            
              
                NBA K Nearest Neighbors
              
          
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## SQLCell_Readme.html
<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>SQLCell Readme</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

<style type="text/css">
    /*!

## geoflow.js
var newLatLng = function(olat, olng, r, degrees){
    var lat1 = olat * Math.PI/180.0;
    var lon1 = olng * Math.PI/180.0;
    var d = (r/6371)/1000; //radius of the earth in km, accounts for curvature
    var lon, loc;
    var tc = degrees * Math.PI/180.0; // convert to radians to use trig functions
    var lat = Math.asin(Math.sin(lat1)*Math.cos(d)+Math.cos(lat1)*Math.sin(d)*Math.cos(tc));
    lat = 180.0 * lat / Math.PI;
    if (Math.cos(lat1) == 0){
        lon = olng;

## point_spreads.ipynb

      
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                tmthyjames
                / point_spreads.ipynb
            
            
              Created
              July 21, 2016 23:25
            
              
                Point Spread Predictions for NBA/NCAA
              
          
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## README.md

      
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                tmthyjames
                / README.md
            
            
              Last active
              July 20, 2016 14:54
            
              
                Treemap of Patient Leakage
              
          
    This is a treemap representing patient leakage, inspired by Mike's block
View in full screen to see legend.

  
## README.md

      
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                tmthyjames
                / README.md
            
            
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              July 20, 2016 14:53
            
              
                Spatial Sankey for Shared Patients Between Doctors and Hospitals
              
          
    This example is inspired by yellowcap's block with
many enhancements, including UI changes and rendering optimizations since I was dealing with larger data sets.
This spatial sankey graph shows the geographical flow of patients from doctors to general acute care
hospitals. The selected hospital (green node) is the target hospital, which receives at least one
visit from every physician (blue or red nodes). The physician nodes are colored red or blue based on
their amount of patient leakage (inverse of marketshare: 1-marketshare). Leakage is defined as all
visits to hospitals (usually general acute care hospitals) where the receiving hospital is not the
physician's primary hospital. Blue nodes have the smallest leakage amount so they are known as
loyalists because they send at least 75% of all general acute care hospital visits to the selected

  
## geojson.js
var radiusFromLatLon = function(latIn, lonIn, radius){
    var locs = [];
    var lat1 = parseFloat(latIn) * Math.PI/180.0;
    var lon1 = parseFloat(lonIn) * Math.PI/180.0;
    var d = radius/3956.0;
    var range360 = Array.apply(null, Array(360)).map(function (_, i) {return i;});
    for (var i in range360){
        var lon, loc;
        var tc = (range360[i] / 90.0) * Math.PI/2.0;
        var lat = Math.asin(Math.sin(lat1)*Math.cos(d)+Math.cos(lat1)*Math.sin(d)*Math.cos(tc));

## nbaknn.ipynb

      
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                tmthyjames
                / nbaknn.ipynb
            
            
              Last active
              July 6, 2016 03:15
            
              
                nba k-nearest neighbor
              
          
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	<!DOCTYPE html>
	<html>
	<head><meta charset="utf-8" />
	<title>SQLCell Readme</title>

	<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

	<style type="text/css">
	/*!
	var newLatLng = function(olat, olng, r, degrees){
	var lat1 = olat * Math.PI/180.0;
	var lon1 = olng * Math.PI/180.0;
	var d = (r/6371)/1000; //radius of the earth in km, accounts for curvature
	var lon, loc;
	var tc = degrees * Math.PI/180.0; // convert to radians to use trig functions
	var lat = Math.asin(Math.sin(lat1)Math.cos(d)+Math.cos(lat1)Math.sin(d)*Math.cos(tc));
	lat = 180.0 * lat / Math.PI;
	if (Math.cos(lat1) == 0){
	lon = olng;
	var radiusFromLatLon = function(latIn, lonIn, radius){
	var locs = [];
	var lat1 = parseFloat(latIn) * Math.PI/180.0;
	var lon1 = parseFloat(lonIn) * Math.PI/180.0;
	var d = radius/3956.0;
	var range360 = Array.apply(null, Array(360)).map(function (_, i) {return i;});
	for (var i in range360){
	var lon, loc;
	var tc = (range360[i] / 90.0) * Math.PI/2.0;
	var lat = Math.asin(Math.sin(lat1)Math.cos(d)+Math.cos(lat1)Math.sin(d)*Math.cos(tc));