John Le sandbox

## index.html
<!DOCTYPE html>
<html>
<head>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/vega/2.2.1/vega.min.js"></script>
</head>
<body>

<script type="text/javascript">
var brush_spec = {

## james-harden-2012-2013-player-dash.json
{"resource":"playerdashptshotlog","parameters":{"LeagueID":"00","Season":"2012-13","SeasonType":"Regular Season","PlayerID":201935,"TeamID":0,"Outcome":null,"Location":null,"Month":0,"SeasonSegment":null,"DateFrom":null,"DateTo":null,"OpponentTeamID":0,"VsConference":null,"VsDivision":null,"GameSegment":null,"Period":0,"LastNGames":0},"resultSets":[{"name":"PtShotLog","headers":["GAME_ID","MATCHUP","LOCATION","W","FINAL_MARGIN","SHOT_NUMBER","PERIOD","GAME_CLOCK","SHOT_CLOCK","DRIBBLES","TOUCH_TIME","SHOT_DIST","PTS_TYPE","SHOT_RESULT","CLOSEST_DEFENDER","CLOSEST_DEFENDER_PLAYER_ID","CLOSE_DEF_DIST","FGM","PTS"],"rowSet":[]}]}

## statwing.csv

          
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## something.csv

          
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## docs.md

      
              1 file
            
          
              1 fork
            
          
              3 comments
            
          
              1 star
            
          
                sandbox
                / docs.md
            
            
              Created
              November 19, 2012 22:32
                — forked from brettcvz/docs
            
              
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## gist:594391
I have two kinds of tweets, tweets with positive sentiment, and tweets with negative sentiment.  Your task is to build a naive bayes classifier that distinguishes between these types of tweets.

Givens:
training set of tweets
testing set of tweets

The format of the training set will be:

<sentiment category {0=negative, 1=positive}>:<the full tweet here>
<sentiment category {0, 1}>:<the full tweet here>

## gist:510891
def insertion_order(array)
  ((array.size.times.map { |i| [i.to_s, array[i]] }).sort.sort_by { |(a,b),(c,d)|
    a.to_i <=> c.to_i
  }).map { |a, b| b }
end
	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/vega/2.2.1/vega.min.js"></script>
	</head>
	<body>

	<script type="text/javascript">
	var brush_spec = {
	I have two kinds of tweets, tweets with positive sentiment, and tweets with negative sentiment. Your task is to build a naive bayes classifier that distinguishes between these types of tweets.

	Givens:
	training set of tweets
	testing set of tweets

	The format of the training set will be:

	<sentiment category {0=negative, 1=positive}>:<the full tweet here>
	<sentiment category {0, 1}>:<the full tweet here>
	def insertion_order(array)
	((array.size.times.map { \|i\| [i.to_s, array[i]] }).sort.sort_by { \|(a,b),(c,d)\|
	a.to_i <=> c.to_i
	}).map { \|a, b\| b }
	end