Demos / IoT / Sensors & Machines Predictive Analysis

Predicting Likelihood of Building Exceeding Threshold Temperatures

Your machines know things. From connected cars, to equipment in the field, to machines on the assembly line floor—sensors stream low-cost, always-on data. Hadoop makes it easier for you to store and refine that data and identify meaningful patterns, providing you with the insight to make proactive business decisions using predictive analytics.

In this video, we show how Hadoop can be used to analyze heating, ventilation and air conditioning data to maintain ideal office temperatures and minimize expenses.

Using the data cleansing and transformation mentioned in the tutorial below, we can further our analysis by applying Logistic Regression to the generated data. We will then be able to predict based on features of the building and the heating system, what buildings have a likelihood of exceeding target temperature.

Click on Image below to recap:

%sh

wget http://s3.amazonaws.com/hw-sandbox/tutorial14/SensorFiles.zip
unzip SensorFiles.zip
hadoop fs -mkdir -p /user/zeppelin/SensorDemo
hadoop fs -copyFromLocal -f SensorFiles/HVAC.csv /user/zeppelin/SensorDemo/
hadoop fs -tail /user/zeppelin/SensorDemo/HVAC.csv

--2016-02-03 00:39:29--  http://s3.amazonaws.com/hw-sandbox/tutorial14/SensorFiles.zip
Resolving s3.amazonaws.com... 54.231.14.32
Connecting to s3.amazonaws.com|54.231.14.32|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 64777 (63K) [application/zip]
Saving to: “SensorFiles.zip”

     0K .......... .......... .......... .......... .......... 79%  397K 0s
    50K .......... ...                                        100% 9.23M=0.1s

2016-02-03 00:39:29 (497 KB/s) - “SensorFiles.zip” saved [64777/64777]

Archive:  SensorFiles.zip
  inflating: SensorFiles/building.csv  
  inflating: SensorFiles/ExtremeTemps.hiv  
  inflating: SensorFiles/HVAC.csv    
  inflating: SensorFiles/JoinBuildingHVAC.hiv  

6/17/13,20:43:51,68,70,8,10,20
6/18/13,21:43:51,70,64,7,8,2
6/19/13,22:43:51,68,76,19,17,20
6/20/13,23:43:51,69,80,20,24,20
6/21/13,0:13:20,66,55,17,25,11
6/22/13,1:13:20,66,66,18,27,15
6/23/13,2:13:20,69,74,17,12,18
6/24/13,3:13:20,68,69,18,9,11
6/25/13,4:13:20,67,69,13,28,7
6/26/13,5:13:20,66,66,7,4,4
6/27/13,6:13:20,69,71,9,24,11
6/28/13,7:13:20,70,80,1,24,20
6/29/13,8:13:20,70,79,17,21,12
6/30/13,9:13:20,70,70,2,29,10
6/1/13,10:13:20,67,77,9,3,5
6/2/13,11:13:20,66,66,18,3,7
6/3/13,12:13:20,68,57,5,7,16
6/4/13,13:13:20,66,66,2,24,11
6/5/13,14:13:20,67,68,4,22,20
6/6/13,15:13:20,67,79,5,8,3
6/7/13,16:13:20,67,62,9,14,2
6/8/13,17:13:20,65,75,13,13,10
6/9/13,18:13:20,67,65,4,17,13
6/10/13,19:13:20,70,55,20,12,4
6/11/13,20:13:20,65,68,15,2,14
6/12/13,21:13:20,68,74,1,30,13
6/13/13,22:13:20,66,61,4,15,20
6/14/13,23:13:20,67,55,3,14,14
6/15/13,0:33:07,70,60,2,9,19
6/16/13,1:33:07,66,58,17,18,20
6/17/13,2:33:07,68,72,17,27,12
6/18/13,3:33:07,68,69,10,4,3
6/19/13,4:33:07,65,63,7,23,20
6/20/13,5:33:07,66,66,9,21,3

/* Let's start by creating a RDD for the data we just imported. Once an RDD is created we can create Temporary Table with Schema that allows us to run SparkSQL. The results of SQL queries are DataFrames and support all the normal RDD operations.*/

val sqlContext = new org.apache.spark.sql.SQLContext(sc)

val eventsFile = sc.textFile("hdfs:///user/zeppelin/SensorDemo/HVAC.csv")

case class Event(Date: String, 
                Time: String, 
                TargetTemp: Float, 
                ActualTemp: Float, 
                System: String, 
                SystemAge: Int, 
                BuildingID: String)



val eventsRDD = eventsFile.mapPartitionsWithIndex { (idx, iter) => if (idx == 0) iter.drop(1) else iter }.map(s=> s.split(",")).map( 
    s => Event(s(0),
            s(1), 
            s(2).toFloat, 
            s(3).toFloat, 
            s(4), 
            s(5).toInt, 
            s(6)
        )
    )

eventsRDD.count

eventsRDD.toDF().registerTempTable("tempSeries")

sqlContext: org.apache.spark.sql.SQLContext = org.apache.spark.sql.SQLContext@762109a9
eventsFile: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[57] at textFile at <console>:24
defined class Event
eventsRDD: org.apache.spark.rdd.RDD[Event] = MapPartitionsRDD[60] at map at <console>:30
res123: Long = 8000

%sql

select * from tempSeries

Date	Time	TargetTemp	ActualTemp	System	SystemAge	BuildingID
6/1/13	0:00:01	66.0	58.0	13	20	4
6/2/13	1:00:01	69.0	68.0	3	20	17
6/3/13	2:00:01	70.0	73.0	17	20	18
6/4/13	3:00:01	67.0	63.0	2	23	15
6/5/13	4:00:01	68.0	74.0	16	9	3
6/6/13	5:00:01	67.0	56.0	13	28	4
6/7/13	6:00:01	70.0	58.0	12	24	2
6/8/13	7:00:01	70.0	73.0	20	26	16
6/9/13	8:00:01	66.0	69.0	16	9	9
6/10/13	9:00:01	65.0	57.0	6	5	12
6/11/13	10:00:01	67.0	70.0	10	17	15
6/12/13	11:00:01	69.0	62.0	2	11	7
6/13/13	12:00:01	69.0	73.0	14	2	15
6/14/13	13:00:01	65.0	61.0	3	2	6
6/15/13	14:00:01	67.0	59.0	19	22	20
6/16/13	15:00:01	65.0	56.0	19	11	8
6/17/13	16:00:01	67.0	57.0	15	7	6
6/18/13	17:00:01	66.0	57.0	12	5	13
6/19/13	18:00:01	69.0	58.0	8	22	4
6/20/13	19:00:01	67.0	55.0	17	5	7
6/21/13	20:00:01	69.0	72.0	7	5	17
6/22/13	21:00:01	66.0	69.0	6	29	9
6/23/13	22:00:01	67.0	65.0	6	18	20
6/24/13	23:00:01	67.0	61.0	15	13	6
6/25/13	0:13:19	70.0	71.0	19	14	18
6/26/13	1:13:19	67.0	71.0	1	6	8
6/27/13	2:13:19	69.0	68.0	16	14	14
6/28/13	3:13:19	65.0	56.0	8	18	15
6/29/13	4:13:19	66.0	77.0	7	6	13
6/30/13	5:13:19	70.0	63.0	7	13	5
6/1/13	6:13:19	68.0	66.0	11	15	3
6/2/13	7:13:19	69.0	60.0	14	1	18
6/3/13	8:13:19	66.0	65.0	14	18	11
6/4/13	9:13:19	67.0	69.0	1	5	9
6/5/13	10:13:19	70.0	78.0	5	5	10
6/6/13	11:13:19	67.0	72.0	16	8	19
6/7/13	12:13:19	67.0	73.0	17	30	2
6/8/13	13:13:19	65.0	75.0	4	13	10
6/9/13	14:13:19	67.0	68.0	2	17	2
6/10/13	15:13:19	65.0	77.0	15	17	6
6/11/13	16:13:19	66.0	67.0	16	24	3
6/12/13	17:13:19	69.0	64.0	18	25	2
6/13/13	18:13:19	67.0	68.0	2	14	1
6/14/13	19:13:19	68.0	75.0	9	22	5
6/15/13	20:13:19	69.0	58.0	9	6	4
6/16/13	21:13:19	69.0	77.0	19	20	9
6/17/13	22:13:19	67.0	73.0	2	4	2
6/18/13	23:13:19	66.0	75.0	1	13	12
6/19/13	0:43:51	70.0	65.0	11	9	5
6/20/13	1:43:51	69.0	65.0	7	30	2
6/21/13	2:43:51	66.0	56.0	16	28	14
6/22/13	3:43:51	69.0	67.0	3	4	9
6/23/13	4:43:51	70.0	68.0	2	12	6
6/24/13	5:43:51	70.0	63.0	15	30	20
6/25/13	6:43:51	65.0	63.0	11	13	17
6/26/13	7:43:51	67.0	78.0	13	22	18
6/27/13	8:43:51	68.0	61.0	15	28	7
6/28/13	9:43:51	66.0	65.0	4	24	2
6/29/13	10:43:51	69.0	59.0	17	25	9
6/30/13	11:43:51	68.0	67.0	8	17	6
6/1/13	12:43:51	69.0	79.0	6	15	7
6/2/13	13:43:51	65.0	72.0	20	26	12
6/3/13	14:43:51	65.0	57.0	3	24	18
6/4/13	15:43:51	66.0	56.0	20	25	6
6/5/13	16:43:51	65.0	71.0	2	14	9
6/6/13	17:43:51	67.0	79.0	1	9	10
6/7/13	18:43:51	67.0	72.0	13	29	15
6/8/13	19:43:51	69.0	76.0	11	25	11
6/9/13	20:43:51	65.0	67.0	6	21	16
6/10/13	21:43:51	67.0	74.0	3	19	14
6/11/13	22:43:51	68.0	76.0	9	28	2
6/12/13	23:43:51	68.0	69.0	7	26	20
6/13/13	0:13:20	67.0	77.0	8	19	12
6/14/13	1:13:20	70.0	68.0	6	1	1
6/15/13	2:13:20	70.0	57.0	7	12	6
6/16/13	3:13:20	67.0	55.0	11	16	12
6/17/13	4:13:20	70.0	55.0	17	17	19
6/18/13	5:13:20	70.0	58.0	6	17	19
6/19/13	6:13:20	69.0	75.0	9	21	6
6/20/13	7:13:20	69.0	75.0	13	14	16
6/21/13	8:13:20	69.0	55.0	1	8	14
6/22/13	9:13:20	65.0	68.0	15	20	3
6/23/13	10:13:20	65.0	63.0	5	22	19
6/24/13	11:13:20	65.0	65.0	19	24	2
6/25/13	12:13:20	68.0	55.0	14	5	20
6/26/13	13:13:20	68.0	67.0	18	28	9
6/27/13	14:13:20	66.0	75.0	4	30	14
6/28/13	15:13:20	65.0	62.0	8	23	17
6/29/13	16:13:20	70.0	77.0	7	24	2
6/30/13	17:13:20	65.0	57.0	17	9	12
6/1/13	18:13:20	68.0	65.0	7	21	12
6/2/13	19:13:20	65.0	72.0	4	1	13
6/3/13	20:13:20	66.0	67.0	18	20	6
6/4/13	21:13:20	68.0	65.0	4	21	15
6/5/13	22:13:20	67.0	73.0	18	19	7
6/6/13	23:13:20	70.0	70.0	13	3	5
6/7/13	0:33:07	68.0	72.0	18	8	1
6/8/13	1:33:07	70.0	80.0	16	24	9
6/9/13	2:33:07	67.0	76.0	16	23	9
6/10/13	3:33:07	69.0	79.0	10	29	15
6/11/13	4:33:07	66.0	70.0	18	18	11
6/12/13	5:33:07	65.0	70.0	17	6	6
6/13/13	6:33:07	66.0	78.0	9	11	7
6/14/13	7:33:07	65.0	60.0	13	21	16
6/15/13	8:33:07	68.0	65.0	10	20	10
6/16/13	9:33:07	69.0	79.0	7	8	13
6/17/13	10:33:07	68.0	65.0	4	25	16
6/18/13	11:33:07	69.0	64.0	1	9	13
6/19/13	12:33:07	69.0	55.0	7	5	10
6/20/13	13:33:07	67.0	59.0	2	15	3
6/21/13	14:33:07	70.0	64.0	8	17	3
6/22/13	15:33:07	67.0	76.0	6	9	11
6/23/13	16:33:07	70.0	68.0	7	1	16
6/24/13	17:33:07	70.0	80.0	6	28	17
6/25/13	18:33:07	70.0	66.0	20	20	12
6/26/13	19:33:07	68.0	68.0	11	12	19
6/27/13	20:33:07	65.0	80.0	5	4	9
6/28/13	21:33:07	70.0	79.0	4	21	14
6/29/13	22:33:07	70.0	64.0	6	12	6
6/30/13	23:33:07	69.0	60.0	10	9	2
6/1/13	0:00:01	69.0	60.0	5	8	7
6/2/13	1:00:01	67.0	74.0	3	10	16
6/3/13	2:00:01	68.0	80.0	4	13	15
6/4/13	3:00:01	69.0	71.0	13	28	7
6/5/13	4:00:01	70.0	68.0	2	26	3
6/6/13	5:00:01	68.0	59.0	15	8	11
6/7/13	6:00:01	70.0	63.0	3	27	13
6/8/13	7:00:01	67.0	78.0	17	6	19
6/9/13	8:00:01	66.0	67.0	12	17	4
6/10/13	9:00:01	67.0	67.0	2	8	17
6/11/13	10:00:01	69.0	60.0	11	29	4
6/12/13	11:00:01	70.0	63.0	14	6	7
6/13/13	12:00:01	70.0	60.0	19	16	6
6/14/13	13:00:01	69.0	78.0	6	26	2
6/15/13	14:00:01	65.0	71.0	7	4	6
6/16/13	15:00:01	70.0	55.0	18	5	14
6/17/13	16:00:01	69.0	68.0	16	4	12
6/18/13	17:00:01	68.0	61.0	10	25	1
6/19/13	18:00:01	65.0	57.0	20	5	10
6/20/13	19:00:01	66.0	67.0	1	10	15
6/21/13	20:00:01	67.0	72.0	14	29	9
6/22/13	21:00:01	69.0	70.0	9	7	4
6/23/13	22:00:01	68.0	59.0	17	24	17
6/24/13	23:00:01	66.0	76.0	15	16	19
6/25/13	0:13:19	69.0	66.0	4	13	9
6/26/13	1:13:19	69.0	59.0	7	15	2
6/27/13	2:13:19	70.0	67.0	9	8	17
6/28/13	3:13:19	66.0	59.0	20	27	20
6/29/13	4:13:19	65.0	70.0	13	5	20
6/30/13	5:13:19	67.0	61.0	10	20	9
6/1/13	6:13:19	69.0	64.0	9	28	7
6/2/13	7:13:19	67.0	71.0	15	2	7
6/3/13	8:13:19	70.0	61.0	4	5	20
6/4/13	9:13:19	65.0	56.0	1	6	5
6/5/13	10:13:19	65.0	77.0	20	15	19
6/6/13	11:13:19	65.0	66.0	8	20	18
6/7/13	12:13:19	67.0	60.0	20	10	4
6/8/13	13:13:19	68.0	67.0	7	18	17
6/9/13	14:13:19	68.0	80.0	5	9	7
6/10/13	15:13:19	68.0	57.0	2	1	17
6/11/13	16:13:19	67.0	59.0	19	29	3
6/12/13	17:13:19	67.0	65.0	20	9	1
6/13/13	18:13:19	69.0	77.0	1	18	4
6/14/13	19:13:19	69.0	56.0	3	25	7
6/15/13	20:13:19	67.0	66.0	8	18	1
6/16/13	21:13:19	69.0	64.0	20	27	5
6/17/13	22:13:19	70.0	77.0	14	16	1
6/18/13	23:13:19	66.0	68.0	20	30	1
6/19/13	0:43:51	70.0	66.0	16	10	2
6/20/13	1:43:51	68.0	60.0	16	24	11
6/21/13	2:43:51	65.0	66.0	16	25	16
6/22/13	3:43:51	67.0	79.0	18	13	17
6/23/13	4:43:51	68.0	63.0	2	10	19
6/24/13	5:43:51	66.0	63.0	14	22	8
6/25/13	6:43:51	67.0	78.0	5	12	16
6/26/13	7:43:51	67.0	78.0	17	15	4
6/27/13	8:43:51	66.0	59.0	20	19	17
6/28/13	9:43:51	69.0	63.0	2	25	11
6/29/13	10:43:51	67.0	61.0	3	19	6
6/30/13	11:43:51	70.0	67.0	2	27	20
6/1/13	12:43:51	70.0	59.0	9	12	3
6/2/13	13:43:51	70.0	76.0	5	21	19
6/3/13	14:43:51	70.0	71.0	19	27	11
6/4/13	15:43:51	69.0	78.0	15	16	20
6/5/13	16:43:51	69.0	69.0	19	15	12
6/6/13	17:43:51	67.0	71.0	9	2	20
6/7/13	18:43:51	65.0	71.0	18	25	18
6/8/13	19:43:51	70.0	71.0	19	15	20
6/9/13	20:43:51	66.0	57.0	14	15	1
6/10/13	21:43:51	69.0	80.0	15	16	10
6/11/13	22:43:51	65.0	78.0	8	2	9
6/12/13	23:43:51	70.0	66.0	16	2	5
6/13/13	0:13:20	65.0	77.0	1	9	9
6/14/13	1:13:20	69.0	67.0	19	26	15
6/15/13	2:13:20	69.0	58.0	6	28	16
6/16/13	3:13:20	69.0	80.0	17	22	5
6/17/13	4:13:20	66.0	60.0	13	1	2
6/18/13	5:13:20	66.0	55.0	19	10	6
6/19/13	6:13:20	69.0	74.0	19	18	10
6/20/13	7:13:20	65.0	64.0	2	10	14
6/21/13	8:13:20	70.0	62.0	19	26	14
6/22/13	9:13:20	70.0	77.0	13	17	6
6/23/13	10:13:20	65.0	61.0	1	1	12
6/24/13	11:13:20	69.0	60.0	1	12	5
6/25/13	12:13:20	69.0	62.0	1	3	1
6/26/13	13:13:20	66.0	63.0	7	21	15
6/27/13	14:13:20	70.0	60.0	10	23	4
6/28/13	15:13:20	65.0	61.0	8	10	18
6/29/13	16:13:20	67.0	80.0	12	8	12
6/30/13	17:13:20	68.0	57.0	1	7	8
6/1/13	18:13:20	66.0	73.0	9	5	8
6/2/13	19:13:20	65.0	60.0	11	29	10
6/3/13	20:13:20	69.0	67.0	2	2	11
6/4/13	21:13:20	66.0	72.0	7	1	12
6/5/13	22:13:20	65.0	76.0	13	16	5
6/6/13	23:13:20	68.0	57.0	14	25	9
6/7/13	0:33:07	70.0	77.0	11	19	17
6/8/13	1:33:07	69.0	58.0	3	11	9
6/9/13	2:33:07	67.0	79.0	20	18	8
6/10/13	3:33:07	66.0	68.0	15	15	20
6/11/13	4:33:07	69.0	56.0	17	11	19
6/12/13	5:33:07	67.0	62.0	3	12	17
6/13/13	6:33:07	66.0	64.0	12	28	4
6/14/13	7:33:07	68.0	72.0	16	21	2
6/15/13	8:33:07	68.0	55.0	14	27	16
6/16/13	9:33:07	65.0	77.0	14	10	20
6/17/13	10:33:07	67.0	72.0	12	8	17
6/18/13	11:33:07	67.0	64.0	8	29	7
6/19/13	12:33:07	65.0	64.0	13	9	19
6/20/13	13:33:07	68.0	80.0	6	14	1
6/21/13	14:33:07	68.0	62.0	6	1	2
6/22/13	15:33:07	70.0	56.0	8	3	9
6/23/13	16:33:07	65.0	69.0	4	26	9
6/24/13	17:33:07	65.0	57.0	6	19	1
6/25/13	18:33:07	68.0	70.0	14	12	6
6/26/13	19:33:07	70.0	68.0	8	21	20
6/27/13	20:33:07	69.0	73.0	4	14	15
6/28/13	21:33:07	66.0	74.0	19	29	3
6/29/13	22:33:07	67.0	76.0	16	5	16
6/30/13	23:33:07	67.0	73.0	14	1	8
6/1/13	0:00:01	69.0	55.0	14	6	17
6/2/13	1:00:01	68.0	77.0	5	19	3
6/3/13	2:00:01	69.0	72.0	7	21	12
6/4/13	3:00:01	68.0	69.0	2	6	14
6/5/13	4:00:01	65.0	70.0	15	30	10
6/6/13	5:00:01	67.0	78.0	11	5	3
6/7/13	6:00:01	65.0	77.0	18	1	17
6/8/13	7:00:01	65.0	75.0	11	7	11
6/9/13	8:00:01	70.0	71.0	17	24	4
6/10/13	9:00:01	70.0	60.0	7	15	13
6/11/13	10:00:01	70.0	65.0	2	5	9
6/12/13	11:00:01	65.0	74.0	1	30	13
6/13/13	12:00:01	69.0	79.0	6	2	9
6/14/13	13:00:01	67.0	57.0	1	13	13
6/15/13	14:00:01	70.0	71.0	6	2	9
6/16/13	15:00:01	67.0	77.0	4	22	12
6/17/13	16:00:01	65.0	59.0	19	10	1
6/18/13	17:00:01	65.0	71.0	18	17	13
6/19/13	18:00:01	68.0	66.0	2	27	2
6/20/13	19:00:01	67.0	77.0	6	4	5
6/21/13	20:00:01	65.0	74.0	2	1	9
6/22/13	21:00:01	70.0	77.0	13	12	12
6/23/13	22:00:01	67.0	74.0	15	17	19
6/24/13	23:00:01	69.0	79.0	2	22	2
6/25/13	0:13:19	65.0	69.0	10	5	16
6/26/13	1:13:19	65.0	66.0	4	30	9
6/27/13	2:13:19	69.0	72.0	9	23	3
6/28/13	3:13:19	68.0	78.0	9	15	19
6/29/13	4:13:19	70.0	65.0	1	14	18
6/30/13	5:13:19	68.0	68.0	15	19	8
6/1/13	6:13:19	69.0	72.0	2	3	16
6/2/13	7:13:19	67.0	68.0	3	24	19
6/3/13	8:13:19	70.0	75.0	8	22	2
6/4/13	9:13:19	70.0	64.0	3	28	15
6/5/13	10:13:19	65.0	75.0	12	10	11
6/6/13	11:13:19	66.0	75.0	7	3	10
6/7/13	12:13:19	66.0	69.0	2	15	13
6/8/13	13:13:19	70.0	72.0	20	19	1
6/9/13	14:13:19	69.0	57.0	7	1	1
6/10/13	15:13:19	66.0	74.0	12	7	13
6/11/13	16:13:19	65.0	63.0	16	26	18
6/12/13	17:13:19	69.0	66.0	17	3	14
6/13/13	18:13:19	70.0	70.0	13	23	3
6/14/13	19:13:19	65.0	62.0	14	14	14
6/15/13	20:13:19	67.0	65.0	10	23	3
6/16/13	21:13:19	67.0	58.0	17	24	15
6/17/13	22:13:19	66.0	69.0	9	15	11
6/18/13	23:13:19	67.0	69.0	3	7	7
6/19/13	0:43:51	67.0	66.0	7	3	15
6/20/13	1:43:51	69.0	79.0	8	23	8
6/21/13	2:43:51	67.0	64.0	6	23	10
6/22/13	3:43:51	67.0	64.0	15	30	19
6/23/13	4:43:51	70.0	80.0	12	24	1
6/24/13	5:43:51	67.0	61.0	17	7	10
6/25/13	6:43:51	67.0	55.0	9	21	18
6/26/13	7:43:51	65.0	62.0	6	6	12
6/27/13	8:43:51	70.0	62.0	11	1	17
6/28/13	9:43:51	69.0	55.0	2	26	16
6/29/13	10:43:51	67.0	60.0	6	14	15
6/30/13	11:43:51	69.0	58.0	6	5	10
6/1/13	12:43:51	68.0	76.0	12	25	8
6/2/13	13:43:51	68.0	74.0	3	3	17
6/3/13	14:43:51	70.0	76.0	6	17	4
6/4/13	15:43:51	68.0	57.0	14	17	5
6/5/13	16:43:51	69.0	66.0	9	30	5
6/6/13	17:43:51	70.0	71.0	8	4	1
6/7/13	18:43:51	65.0	71.0	7	26	16
6/8/13	19:43:51	67.0	73.0	2	16	15
6/9/13	20:43:51	69.0	74.0	14	18	16
6/10/13	21:43:51	67.0	73.0	5	26	2
6/11/13	22:43:51	66.0	78.0	9	28	20
6/12/13	23:43:51	68.0	66.0	11	7	5
6/13/13	0:13:20	66.0	61.0	3	24	6
6/14/13	1:13:20	69.0	73.0	14	3	1
6/15/13	2:13:20	69.0	71.0	11	2	14
6/16/13	3:13:20	69.0	71.0	4	23	2
6/17/13	4:13:20	68.0	66.0	18	20	9
6/18/13	5:13:20	66.0	67.0	6	20	18
6/19/13	6:13:20	70.0	74.0	6	2	20
6/20/13	7:13:20	69.0	57.0	14	5	6
6/21/13	8:13:20	66.0	71.0	8	6	5
6/22/13	9:13:20	68.0	67.0	10	30	14
6/23/13	10:13:20	67.0	59.0	8	1	9
6/24/13	11:13:20	70.0	80.0	20	17	5
6/25/13	12:13:20	69.0	71.0	8	14	6
6/26/13	13:13:20	65.0	63.0	20	9	12
6/27/13	14:13:20	67.0	69.0	7	13	10
6/28/13	15:13:20	65.0	66.0	10	30	17
6/29/13	16:13:20	70.0	76.0	11	3	2
6/30/13	17:13:20	66.0	62.0	14	26	12
6/1/13	18:13:20	65.0	66.0	11	30	1
6/2/13	19:13:20	67.0	63.0	19	21	9
6/3/13	20:13:20	67.0	69.0	13	2	1
6/4/13	21:13:20	66.0	63.0	16	30	19
6/5/13	22:13:20	69.0	70.0	5	27	2
6/6/13	23:13:20	66.0	55.0	15	11	4
6/7/13	0:33:07	66.0	77.0	9	28	8
6/8/13	1:33:07	67.0	75.0	14	4	19
6/9/13	2:33:07	69.0	78.0	1	15	18
6/10/13	3:33:07	70.0	78.0	5	9	12
6/11/13	4:33:07	65.0	67.0	11	6	8
6/12/13	5:33:07	67.0	71.0	12	13	4
6/13/13	6:33:07	68.0	62.0	17	8	1
6/14/13	7:33:07	70.0	68.0	14	21	5
6/15/13	8:33:07	66.0	72.0	10	29	3
6/16/13	9:33:07	66.0	71.0	3	20	19
6/17/13	10:33:07	66.0	66.0	9	4	10
6/18/13	11:33:07	69.0	61.0	8	7	8
6/19/13	12:33:07	69.0	66.0	8	19	13
6/20/13	13:33:07	65.0	69.0	15	28	10
6/21/13	14:33:07	69.0	61.0	14	12	20
6/22/13	15:33:07	69.0	67.0	8	7	1
6/23/13	16:33:07	67.0	56.0	2	2	18
6/24/13	17:33:07	68.0	62.0	3	6	16
6/25/13	18:33:07	68.0	71.0	20	2	3
6/26/13	19:33:07	69.0	60.0	16	24	16
6/27/13	20:33:07	67.0	76.0	10	15	2
6/28/13	21:33:07	69.0	55.0	4	16	8
6/29/13	22:33:07	70.0	58.0	6	9	13
6/30/13	23:33:07	67.0	77.0	12	14	16
6/1/13	0:00:01	69.0	58.0	18	8	12
6/2/13	1:00:01	70.0	61.0	20	26	13
6/3/13	2:00:01	68.0	68.0	12	1	18
6/4/13	3:00:01	69.0	69.0	11	10	2
6/5/13	4:00:01	68.0	72.0	20	14	11
6/6/13	5:00:01	66.0	73.0	20	26	17
6/7/13	6:00:01	67.0	69.0	16	25	14
6/8/13	7:00:01	68.0	69.0	2	17	17
6/9/13	8:00:01	67.0	64.0	18	19	4
6/10/13	9:00:01	69.0	79.0	3	16	14
6/11/13	10:00:01	68.0	69.0	3	28	15
6/12/13	11:00:01	66.0	69.0	8	22	5
6/13/13	12:00:01	67.0	71.0	8	5	13
6/14/13	13:00:01	68.0	62.0	14	30	1
6/15/13	14:00:01	65.0	57.0	6	13	17
6/16/13	15:00:01	65.0	74.0	6	14	9
6/17/13	16:00:01	69.0	69.0	14	28	17
6/18/13	17:00:01	65.0	64.0	11	4	4
6/19/13	18:00:01	67.0	64.0	6	30	8
6/20/13	19:00:01	65.0	78.0	14	10	19
6/21/13	20:00:01	67.0	75.0	2	22	8
6/22/13	21:00:01	66.0	56.0	1	12	17
6/23/13	22:00:01	65.0	77.0	13	2	3
6/24/13	23:00:01	65.0	71.0	17	14	5
6/25/13	0:13:19	69.0	56.0	18	5	13
6/26/13	1:13:19	68.0	79.0	12	2	9
6/27/13	2:13:19	68.0	59.0	2	22	9
6/28/13	3:13:19	67.0	75.0	15	26	15
6/29/13	4:13:19	70.0	57.0	11	30	14
6/30/13	5:13:19	65.0	75.0	18	13	6
6/1/13	6:13:19	70.0	56.0	2	18	3
6/2/13	7:13:19	66.0	70.0	13	12	15
6/3/13	8:13:19	68.0	67.0	9	30	8
6/4/13	9:13:19	68.0	55.0	12	13	3
6/5/13	10:13:19	67.0	58.0	17	12	16
6/6/13	11:13:19	68.0	60.0	9	17	13
6/7/13	12:13:19	66.0	56.0	8	21	13
6/8/13	13:13:19	68.0	71.0	16	22	8
6/9/13	14:13:19	68.0	60.0	18	7	19
6/10/13	15:13:19	66.0	59.0	11	14	13
6/11/13	16:13:19	68.0	61.0	8	2	11
6/12/13	17:13:19	70.0	57.0	5	10	17
6/13/13	18:13:19	69.0	72.0	4	7	18
6/14/13	19:13:19	65.0	57.0	10	25	14
6/15/13	20:13:19	69.0	80.0	19	13	11
6/16/13	21:13:19	67.0	78.0	13	27	4
6/17/13	22:13:19	66.0	65.0	15	19	11
6/18/13	23:13:19	70.0	59.0	1	16	10
6/19/13	0:43:51	65.0	58.0	3	20	1
6/20/13	1:43:51	69.0	60.0	19	16	8
6/21/13	2:43:51	68.0	78.0	18	6	8
6/22/13	3:43:51	68.0	65.0	12	25	17
6/23/13	4:43:51	67.0	74.0	9	14	17
6/24/13	5:43:51	69.0	65.0	15	27	10
6/25/13	6:43:51	68.0	68.0	2	7	12
6/26/13	7:43:51	70.0	59.0	19	23	11
6/27/13	8:43:51	69.0	57.0	19	23	12
6/28/13	9:43:51	65.0	68.0	8	5	7
6/29/13	10:43:51	65.0	72.0	16	25	13
6/30/13	11:43:51	66.0	59.0	4	1	15
6/1/13	12:43:51	70.0	74.0	5	6	6
6/2/13	13:43:51	66.0	64.0	12	16	8
6/3/13	14:43:51	70.0	62.0	3	29	5
6/4/13	15:43:51	69.0	60.0	16	21	10
6/5/13	16:43:51	65.0	67.0	15	16	3
6/6/13	17:43:51	67.0	55.0	8	20	1
6/7/13	18:43:51	65.0	59.0	19	27	19
6/8/13	19:43:51	70.0	74.0	12	3	7
6/9/13	20:43:51	68.0	58.0	14	13	18
6/10/13	21:43:51	66.0	60.0	6	2	16
6/11/13	22:43:51	70.0	70.0	7	10	14
6/12/13	23:43:51	70.0	79.0	8	22	15
6/13/13	0:13:20	70.0	55.0	10	28	13
6/14/13	1:13:20	65.0	61.0	7	2	20
6/15/13	2:13:20	69.0	67.0	17	21	16
6/16/13	3:13:20	66.0	79.0	18	24	6
6/17/13	4:13:20	68.0	69.0	9	29	1
6/18/13	5:13:20	70.0	62.0	1	29	17
6/19/13	6:13:20	66.0	61.0	15	9	6
6/20/13	7:13:20	70.0	67.0	3	27	13
6/21/13	8:13:20	65.0	59.0	19	15	14
6/22/13	9:13:20	69.0	68.0	11	21	9
6/23/13	10:13:20	67.0	56.0	20	17	9
6/24/13	11:13:20	69.0	59.0	11	17	16
6/25/13	12:13:20	69.0	58.0	13	4	9
6/26/13	13:13:20	68.0	72.0	6	5	9
6/27/13	14:13:20	68.0	60.0	6	29	4
6/28/13	15:13:20	66.0	61.0	8	6	13
6/29/13	16:13:20	65.0	68.0	9	28	6
6/30/13	17:13:20	65.0	76.0	3	11	14
6/1/13	18:13:20	68.0	64.0	13	10	1
6/2/13	19:13:20	66.0	58.0	19	11	9
6/3/13	20:13:20	65.0	56.0	14	24	18
6/4/13	21:13:20	70.0	58.0	8	21	14
6/5/13	22:13:20	66.0	64.0	7	13	9
6/6/13	23:13:20	65.0	57.0	8	5	12
6/7/13	0:33:07	69.0	71.0	19	18	12
6/8/13	1:33:07	67.0	64.0	20	22	10
6/9/13	2:33:07	66.0	72.0	17	26	13
6/10/13	3:33:07	70.0	65.0	7	8	18
6/11/13	4:33:07	66.0	73.0	13	22	4
6/12/13	5:33:07	68.0	66.0	2	15	19
6/13/13	6:33:07	68.0	76.0	17	7	11
6/14/13	7:33:07	70.0	65.0	4	9	4
6/15/13	8:33:07	69.0	67.0	9	14	18
6/16/13	9:33:07	67.0	71.0	5	25	4
6/17/13	10:33:07	66.0	59.0	4	26	10
6/18/13	11:33:07	65.0	77.0	5	28	11
6/19/13	12:33:07	70.0	59.0	11	14	10
6/20/13	13:33:07	70.0	78.0	9	14	2
6/21/13	14:33:07	65.0	76.0	19	9	10
6/22/13	15:33:07	69.0	73.0	7	12	13
6/23/13	16:33:07	65.0	59.0	16	29	19
6/24/13	17:33:07	67.0	77.0	17	19	9
6/25/13	18:33:07	67.0	55.0	15	28	15
6/26/13	19:33:07	69.0	72.0	6	20	11
6/27/13	20:33:07	70.0	64.0	17	7	11
6/28/13	21:33:07	67.0	61.0	13	19	6
6/29/13	22:33:07	67.0	57.0	16	19	15
6/30/13	23:33:07	69.0	64.0	19	18	5
6/1/13	0:45:56	70.0	66.0	20	9	19
6/2/13	1:45:56	70.0	62.0	3	20	16
6/3/13	2:45:56	69.0	60.0	7	26	16
6/4/13	3:45:56	69.0	77.0	4	10	5
6/5/13	4:45:56	65.0	78.0	13	5	5
6/6/13	5:45:56	66.0	56.0	20	26	15
6/7/13	6:45:56	66.0	78.0	3	8	11
6/8/13	7:45:56	67.0	74.0	4	27	6
6/9/13	8:45:56	69.0	55.0	13	15	17
6/10/13	9:45:56	66.0	59.0	8	29	5
6/11/13	10:45:56	65.0	69.0	9	21	2
6/12/13	11:45:56	65.0	78.0	17	22	4
6/13/13	12:45:56	66.0	68.0	4	15	13
6/14/13	13:45:56	65.0	69.0	7	13	3
6/15/13	14:45:56	68.0	67.0	11	18	5
6/16/13	15:45:56	69.0	68.0	7	17	20
6/17/13	16:45:56	65.0	74.0	5	25	20
6/18/13	17:45:56	69.0	78.0	8	8	7
6/19/13	18:45:56	68.0	56.0	8	20	10
6/20/13	19:45:56	69.0	70.0	9	28	19
6/21/13	20:45:56	68.0	64.0	10	6	5
6/22/13	21:45:56	66.0	60.0	2	5	12
6/23/13	22:45:56	65.0	75.0	16	3	3
6/24/13	23:45:56	70.0	77.0	13	28	1
6/25/13	0:45:56	68.0	74.0	9	1	11
6/26/13	1:45:56	65.0	77.0	16	20	2
6/27/13	2:45:56	67.0	67.0	20	3	20
6/28/13	3:45:56	67.0	73.0	3	16	20
6/29/13	4:45:56	65.0	60.0	18	21	3
6/30/13	5:45:56	67.0	73.0	17	8	3
6/1/13	6:45:56	69.0	57.0	12	6	19
6/2/13	7:45:56	67.0	66.0	1	8	4
6/3/13	8:45:56	69.0	80.0	6	22	16
6/4/13	9:45:56	65.0	67.0	16	23	5
6/5/13	10:45:56	70.0	57.0	19	18	18
6/6/13	11:45:56	68.0	64.0	19	27	14
6/7/13	12:45:56	67.0	65.0	19	18	2
6/8/13	13:45:56	65.0	78.0	2	2	13
6/9/13	14:45:56	68.0	80.0	8	14	16
6/10/13	15:45:56	65.0	76.0	14	20	14
6/11/13	16:45:56	68.0	58.0	3	12	10
6/12/13	17:45:56	69.0	64.0	12	13	12
6/13/13	18:45:56	70.0	55.0	3	29	4
6/14/13	19:45:56	67.0	55.0	13	30	5
6/15/13	20:45:56	65.0	80.0	12	15	9
6/16/13	21:45:56	69.0	70.0	8	22	13
6/17/13	22:45:56	69.0	68.0	13	6	17
6/18/13	23:45:56	69.0	78.0	9	30	2
6/19/13	0:45:56	65.0	75.0	9	22	12
6/20/13	1:45:56	70.0	60.0	2	17	15
6/21/13	2:45:56	67.0	70.0	19	13	15
6/22/13	3:45:56	69.0	78.0	13	29	2
6/23/13	4:45:56	69.0	70.0	5	3	20
6/24/13	5:45:56	68.0	72.0	6	5	16
6/25/13	6:45:56	67.0	62.0	9	7	17
6/26/13	7:45:56	65.0	71.0	20	14	5
6/27/13	8:45:56	67.0	76.0	18	29	10
6/28/13	9:45:56	70.0	68.0	7	14	20
6/29/13	10:45:56	65.0	80.0	10	22	16
6/30/13	11:45:56	68.0	57.0	4	11	10
6/1/13	12:45:56	65.0	74.0	2	27	9
6/2/13	13:45:56	70.0	62.0	14	16	5
6/3/13	14:45:56	69.0	57.0	7	2	20
6/4/13	15:45:56	66.0	70.0	15	25	16
6/5/13	16:45:56	70.0	61.0	18	20	5
6/6/13	17:45:56	65.0	63.0	4	28	7
6/7/13	18:45:56	66.0	62.0	18	21	17
6/8/13	0:00:01	70.0	68.0	11	26	10
6/9/13	1:00:01	70.0	56.0	15	15	10
6/10/13	2:00:01	66.0	73.0	5	9	17
6/11/13	3:00:01	68.0	62.0	9	22	19
6/12/13	4:00:01	66.0	70.0	17	25	19
6/13/13	5:00:01	69.0	63.0	1	15	16
6/14/13	6:00:01	65.0	75.0	13	12	9
6/15/13	7:00:01	65.0	66.0	5	14	17
6/16/13	8:00:01	67.0	58.0	3	12	11
6/17/13	9:00:01	68.0	63.0	17	18	8
6/18/13	10:00:01	67.0	58.0	14	11	6
6/19/13	11:00:01	70.0	74.0	4	19	3
6/20/13	12:00:01	65.0	74.0	18	29	8
6/21/13	13:00:01	70.0	63.0	6	22	18
6/22/13	14:00:01	66.0	77.0	14	8	5
6/23/13	15:00:01	68.0	66.0	10	29	18
6/24/13	16:00:01	68.0	63.0	8	19	17
6/25/13	17:00:01	65.0	69.0	3	9	18
6/26/13	18:00:01	67.0	56.0	1	28	12
6/27/13	19:00:01	66.0	62.0	16	6	17
6/28/13	20:00:01	68.0	77.0	3	15	15
6/29/13	21:00:01	70.0	57.0	11	27	19
6/30/13	22:00:01	69.0	68.0	4	20	3
6/1/13	23:00:01	69.0	79.0	5	10	15
6/2/13	0:13:19	70.0	74.0	2	27	7
6/3/13	1:13:19	69.0	66.0	3	15	17
6/4/13	2:13:19	65.0	62.0	8	12	18
6/5/13	3:13:19	66.0	66.0	13	24	6
6/6/13	4:13:19	67.0	77.0	14	11	7
6/7/13	5:13:19	68.0	64.0	6	6	1
6/8/13	6:13:19	65.0	79.0	3	4	2
6/9/13	7:13:19	67.0	80.0	10	10	20
6/10/13	8:13:19	70.0	77.0	14	28	4
6/11/13	9:13:19	69.0	76.0	17	24	11
6/12/13	10:13:19	65.0	68.0	6	18	12
6/13/13	11:13:19	66.0	62.0	13	17	9
6/14/13	12:13:19	68.0	80.0	4	14	7
6/15/13	13:13:19	67.0	75.0	11	23	3
6/16/13	14:13:19	69.0	73.0	5	23	5
6/17/13	15:13:19	66.0	62.0	6	8	20
6/18/13	16:13:19	70.0	71.0	12	1	6
6/19/13	17:13:19	67.0	69.0	12	23	18
6/20/13	18:13:19	70.0	56.0	11	6	9
6/21/13	19:13:19	68.0	80.0	9	1	5
6/22/13	20:13:19	69.0	62.0	4	14	18
6/23/13	21:13:19	69.0	63.0	9	12	7
6/24/13	22:13:19	70.0	75.0	15	9	13
6/25/13	23:13:19	67.0	55.0	10	6	2
6/26/13	0:43:51	68.0	80.0	15	7	17
6/27/13	1:43:51	70.0	58.0	3	28	16
6/28/13	2:43:51	67.0	71.0	1	2	15
6/29/13	3:43:51	70.0	79.0	5	13	18
6/30/13	4:43:51	67.0	61.0	13	22	6
6/1/13	5:43:51	67.0	75.0	10	22	15
6/2/13	6:43:51	68.0	57.0	12	14	15
6/3/13	7:43:51	69.0	69.0	6	15	6
6/4/13	8:43:51	67.0	61.0	14	30	10
6/5/13	9:43:51	70.0	59.0	12	22	18
6/6/13	10:43:51	65.0	78.0	20	24	12
6/7/13	11:43:51	65.0	65.0	7	28	5
6/8/13	12:43:51	68.0	76.0	12	17	16
6/9/13	13:43:51	65.0	73.0	17	24	18
6/10/13	14:43:51	69.0	59.0	9	24	13
6/11/13	15:43:51	69.0	67.0	15	29	3
6/12/13	16:43:51	68.0	67.0	5	17	11
6/13/13	17:43:51	65.0	77.0	1	14	14
6/14/13	18:43:51	67.0	67.0	20	11	17
6/15/13	19:43:51	70.0	75.0	4	9	5
6/16/13	20:43:51	68.0	67.0	6	24	16
6/17/13	21:43:51	67.0	71.0	3	3	18
6/18/13	22:43:51	68.0	78.0	2	4	6
6/19/13	23:43:51	68.0	61.0	6	17	6
6/20/13	0:13:20	70.0	80.0	13	24	7
6/21/13	1:13:20	68.0	66.0	9	21	20
6/22/13	2:13:20	67.0	63.0	3	4	13
6/23/13	3:13:20	69.0	66.0	7	20	12
6/24/13	4:13:20	67.0	77.0	15	24	16
6/25/13	5:13:20	67.0	69.0	15	12	2
6/26/13	6:13:20	69.0	69.0	1	13	8
6/27/13	7:13:20	65.0	67.0	3	10	10
6/28/13	8:13:20	67.0	73.0	3	19	7
6/29/13	9:13:20	70.0	77.0	6	30	2
6/30/13	10:13:20	69.0	77.0	5	7	3
6/1/13	11:13:20	65.0	65.0	6	8	12
6/2/13	12:13:20	66.0	66.0	17	15	12
6/3/13	13:13:20	66.0	63.0	4	18	16
6/4/13	14:13:20	65.0	64.0	7	23	13
6/5/13	15:13:20	66.0	72.0	12	1	9
6/6/13	16:13:20	65.0	76.0	12	28	1
6/7/13	17:13:20	65.0	72.0	16	10	4
6/8/13	18:13:20	68.0	61.0	19	22	7
6/9/13	19:13:20	66.0	62.0	9	1	15
6/10/13	20:13:20	68.0	65.0	11	1	1
6/11/13	21:13:20	67.0	75.0	4	5	9
6/12/13	22:13:20	65.0	76.0	1	9	7
6/13/13	23:13:20	65.0	61.0	12	14	10
6/14/13	0:33:07	69.0	64.0	12	9	10
6/15/13	1:33:07	65.0	55.0	6	21	15
6/16/13	2:33:07	69.0	72.0	8	27	14
6/17/13	3:33:07	67.0	75.0	13	8	2
6/18/13	4:33:07	67.0	70.0	14	11	19
6/19/13	5:33:07	66.0	57.0	2	21	5
6/20/13	6:33:07	69.0	63.0	8	23	19
6/21/13	7:33:07	68.0	55.0	6	6	10
6/22/13	8:33:07	68.0	71.0	15	4	18
6/23/13	9:33:07	67.0	66.0	18	28	7
6/24/13	10:33:07	66.0	59.0	13	21	15
6/25/13	11:33:07	69.0	58.0	20	27	16
6/26/13	12:33:07	69.0	64.0	8	18	10
6/27/13	13:33:07	69.0	56.0	18	3	9
6/28/13	14:33:07	66.0	65.0	6	26	13
6/29/13	15:33:07	65.0	56.0	18	19	16
6/30/13	16:33:07	68.0	69.0	1	27	12
6/1/13	17:33:07	70.0	65.0	11	19	9
6/2/13	18:33:07	68.0	61.0	16	23	10
6/3/13	19:33:07	65.0	58.0	16	4	5
6/4/13	20:33:07	65.0	79.0	17	17	20
6/5/13	21:33:07	69.0	64.0	14	15	11
6/6/13	22:33:07	66.0	65.0	16	29	14
6/7/13	23:33:07	67.0	69.0	3	2	16
6/8/13	0:00:01	69.0	70.0	17	7	9
6/9/13	1:00:01	69.0	80.0	20	3	9
6/10/13	2:00:01	66.0	68.0	17	10	9
6/11/13	3:00:01	70.0	68.0	3	29	9
6/12/13	4:00:01	67.0	66.0	3	12	19
6/13/13	5:00:01	65.0	66.0	11	27	3
6/14/13	6:00:01	66.0	69.0	11	10	12
6/15/13	7:00:01	69.0	57.0	12	18	11
6/16/13	8:00:01	69.0	57.0	15	22	6
6/17/13	9:00:01	69.0	64.0	9	6	6
6/18/13	10:00:01	67.0	64.0	5	3	1
6/19/13	11:00:01	66.0	67.0	11	7	8
6/20/13	12:00:01	68.0	72.0	11	10	9
6/21/13	13:00:01	69.0	68.0	16	11	13
6/22/13	14:00:01	67.0	55.0	10	19	9
6/23/13	15:00:01	69.0	66.0	8	13	7
6/24/13	16:00:01	67.0	67.0	4	9	11
6/25/13	17:00:01	68.0	74.0	2	22	18
6/26/13	18:00:01	68.0	58.0	19	27	7
6/27/13	19:00:01	67.0	80.0	7	7	20
6/28/13	20:00:01	66.0	60.0	15	21	3
6/29/13	21:00:01	69.0	55.0	6	2	9
6/30/13	22:00:01	69.0	58.0	8	23	7
6/1/13	23:00:01	67.0	56.0	2	13	2
6/2/13	0:13:19	70.0	73.0	20	27	12
6/3/13	1:13:19	65.0	68.0	11	21	9
6/4/13	2:13:19	66.0	59.0	10	23	3
6/5/13	3:13:19	66.0	65.0	19	30	8
6/6/13	4:13:19	66.0	74.0	19	10	8
6/7/13	5:13:19	70.0	73.0	10	25	11
6/8/13	6:13:19	70.0	68.0	7	12	10
6/9/13	7:13:19	69.0	56.0	13	12	7
6/10/13	8:13:19	67.0	56.0	15	13	10
6/11/13	9:13:19	65.0	63.0	11	23	11
6/12/13	10:13:19	66.0	61.0	3	30	20
6/13/13	11:13:19	69.0	57.0	20	6	11
6/14/13	12:13:19	67.0	62.0	14	13	10
6/15/13	13:13:19	69.0	70.0	4	20	4
6/16/13	14:13:19	67.0	69.0	2	17	1
6/17/13	15:13:19	69.0	78.0	3	15	16
6/18/13	16:13:19	66.0	79.0	5	14	1
6/19/13	17:13:19	67.0	60.0	5	21	1
6/20/13	18:13:19	69.0	73.0	19	7	12
6/21/13	19:13:19	68.0	55.0	3	23	15
6/22/13	20:13:19	65.0	67.0	6	11	19
6/23/13	21:13:19	66.0	55.0	19	30	10
6/24/13	22:13:19	68.0	79.0	9	9	9
6/25/13	23:13:19	67.0	75.0	19	9	10
6/26/13	0:43:51	67.0	80.0	5	11	15
6/27/13	1:43:51	66.0	78.0	11	29	8
6/28/13	2:43:51	67.0	73.0	1	21	6
6/29/13	3:43:51	67.0	69.0	20	9	2
6/30/13	4:43:51	68.0	65.0	18	20	10
6/1/13	5:43:51	66.0	62.0	6	21	8
6/2/13	6:43:51	69.0	58.0	15	1	16
6/3/13	7:43:51	65.0	64.0	8	18	10
6/4/13	8:43:51	68.0	66.0	17	20	20
6/5/13	9:43:51	68.0	70.0	8	4	4
6/6/13	10:43:51	65.0	60.0	10	27	19
6/7/13	11:43:51	65.0	70.0	14	28	11
6/8/13	12:43:51	65.0	74.0	6	23	6
6/9/13	13:43:51	68.0	69.0	13	1	20
6/10/13	14:43:51	67.0	56.0	12	17	19
6/11/13	15:43:51	66.0	80.0	11	6	12
6/12/13	16:43:51	67.0	71.0	17	7	20
6/13/13	17:43:51	68.0	62.0	13	2	8
6/14/13	18:43:51	66.0	73.0	4	18	2
6/15/13	19:43:51	69.0	60.0	10	3	10
6/16/13	20:43:51	67.0	77.0	13	3	3
6/17/13	21:43:51	70.0	73.0	6	30	3
6/18/13	22:43:51	69.0	61.0	14	30	4
6/19/13	23:43:51	67.0	58.0	1	30	3
6/20/13	0:13:20	65.0	79.0	14	28	5
6/21/13	1:13:20	69.0	63.0	18	28	8
6/22/13	2:13:20	69.0	74.0	18	7	16
6/23/13	3:13:20	69.0	56.0	8	3	14
6/24/13	4:13:20	65.0	68.0	10	16	8
6/25/13	5:13:20	66.0	75.0	1	15	10
6/26/13	6:13:20	65.0	67.0	8	18	14
6/27/13	7:13:20	70.0	78.0	15	29	2
6/28/13	8:13:20	69.0	70.0	6	13	10
6/29/13	9:13:20	68.0	73.0	6	28	9
6/30/13	10:13:20	67.0	62.0	5	10	9
6/1/13	11:13:20	68.0	57.0	4	7	6
6/2/13	12:13:20	70.0	59.0	4	24	7
6/3/13	13:13:20	68.0	64.0	4	18	7
6/4/13	14:13:20	70.0	77.0	1	12	3
6/5/13	15:13:20	68.0	55.0	19	16	5
6/6/13	16:13:20	67.0	62.0	6	26	14
6/7/13	17:13:20	66.0	61.0	10	5	20
6/8/13	18:13:20	65.0	73.0	8	14	16
6/9/13	19:13:20	67.0	59.0	16	4	14
6/10/13	20:13:20	68.0	76.0	11	30	2
6/11/13	21:13:20	67.0	73.0	19	6	18
6/12/13	22:13:20	66.0	62.0	4	26	2
6/13/13	23:13:20	65.0	68.0	7	19	2
6/14/13	0:33:07	69.0	55.0	1	23	14
6/15/13	1:33:07	65.0	79.0	8	25	5
6/16/13	2:33:07	67.0	76.0	1	2	2
6/17/13	3:33:07	70.0	60.0	3	5	11
6/18/13	4:33:07	65.0	68.0	9	4	3
6/19/13	5:33:07	68.0	61.0	5	25	18
6/20/13	6:33:07	66.0	64.0	6	30	8
6/21/13	7:33:07	70.0	67.0	4	8	11
6/22/13	8:33:07	66.0	76.0	9	1	16
6/23/13	9:33:07	69.0	63.0	16	3	16
6/24/13	10:33:07	70.0	65.0	19	20	5
6/25/13	11:33:07	70.0	69.0	5	27	19
6/26/13	12:33:07	69.0	71.0	7	20	13
6/27/13	13:33:07	66.0	66.0	5	27	18
6/28/13	14:33:07	70.0	78.0	2	4	2
6/29/13	15:33:07	70.0	68.0	5	7	16
6/30/13	16:33:07	65.0	65.0	20	30	14
6/1/13	17:33:07	69.0	69.0	1	3	3
6/2/13	18:33:07	68.0	56.0	8	26	2
6/3/13	19:33:07	65.0	66.0	16	1	9
6/4/13	20:33:07	69.0	57.0	19	18	18
6/5/13	21:33:07	65.0	66.0	1	10	7
6/6/13	22:33:07	67.0	56.0	15	1	6
6/7/13	23:33:07	67.0	76.0	15	17	5
6/8/13	0:00:01	65.0	79.0	18	22	4
6/9/13	1:00:01	70.0	80.0	10	26	6
6/10/13	2:00:01	69.0	70.0	16	9	16
6/11/13	3:00:01	65.0	64.0	16	5	16
6/12/13	4:00:01	69.0	61.0	6	20	12
6/13/13	5:00:01	68.0	68.0	12	23	7
6/14/13	6:00:01	66.0	56.0	15	11	9
6/15/13	7:00:01	68.0	63.0	9	24	6
6/16/13	8:00:01	67.0	56.0	10	11	12
6/17/13	9:00:01	69.0	66.0	5	8	3
6/18/13	10:00:01	65.0	68.0	13	19	1
6/19/13	11:00:01	70.0	63.0	11	28	8
6/20/13	12:00:01	66.0	79.0	17	8	3
6/21/13	13:00:01	65.0	80.0	6	16	17
6/22/13	14:00:01	66.0	71.0	6	13	7
6/23/13	15:00:01	67.0	71.0	10	23	18
6/24/13	16:00:01	66.0	74.0	11	30	13
6/25/13	17:00:01	66.0	63.0	4	26	20
6/26/13	18:00:01	65.0	57.0	20	18	2
6/27/13	19:00:01	67.0	56.0	17	27	18
6/28/13	20:00:01	66.0	62.0	1	23	15
6/29/13	21:00:01	68.0	67.0	13	7	9
6/30/13	22:00:01	65.0	65.0	11	13	1
6/1/13	23:00:01	67.0	80.0	18	14	14
6/2/13	0:13:19	66.0	76.0	4	16	4
6/3/13	1:13:19	69.0	70.0	7	24	1
6/4/13	2:13:19	70.0	68.0	20	8	15
6/5/13	3:13:19	67.0	77.0	4	10	19
6/6/13	4:13:19	67.0	58.0	6	13	18
6/7/13	5:13:19	70.0	60.0	5	30	2
6/8/13	6:13:19	67.0	64.0	9	20	16
6/9/13	7:13:19	67.0	65.0	2	7	18
6/10/13	8:13:19	70.0	63.0	3	28	4
6/11/13	9:13:19	68.0	73.0	5	18	13
6/12/13	10:13:19	68.0	65.0	19	14	9
6/13/13	11:13:19	66.0	63.0	8	26	10
6/14/13	12:13:19	70.0	76.0	19	9	2
6/15/13	13:13:19	65.0	68.0	8	22	6
6/16/13	14:13:19	65.0	77.0	6	19	7
6/17/13	15:13:19	67.0	79.0	13	9	9
6/18/13	16:13:19	65.0	56.0	1	19	4
6/19/13	17:13:19	69.0	67.0	3	29	1
6/20/13	18:13:19	66.0	57.0	16	5	13
6/21/13	19:13:19	66.0	75.0	13	24	10
6/22/13	20:13:19	69.0	77.0	2	15	3
6/23/13	21:13:19	68.0	76.0	10	5	6
6/24/13	22:13:19	65.0	62.0	20	12	19
6/25/13	23:13:19	66.0	73.0	4	22	18
6/26/13	0:43:51	70.0	66.0	15	28	11
6/27/13	1:43:51	65.0	79.0	17	21	15
6/28/13	2:43:51	68.0	67.0	16	18	12
6/29/13	3:43:51	66.0	73.0	3	22	20
6/30/13	4:43:51	66.0	74.0	15	1	8
6/1/13	5:43:51	67.0	58.0	7	7	11
6/2/13	6:43:51	66.0	65.0	20	14	15
6/3/13	7:43:51	67.0	76.0	17	30	16
6/4/13	8:43:51	69.0	66.0	6	13	18
6/5/13	9:43:51	68.0	78.0	20	17	18
6/6/13	10:43:51	68.0	74.0	15	2	5
6/7/13	11:43:51	67.0	76.0	20	13	10
6/8/13	12:43:51	68.0	65.0	20	19	6
6/9/13	13:43:51	69.0	73.0	13	11	11
6/10/13	14:43:51	68.0	78.0	3	3	11
6/11/13	15:43:51	66.0	65.0	8	24	5
6/12/13	16:43:51	69.0	67.0	6	2	16
6/13/13	17:43:51	69.0	62.0	3	15	16
6/14/13	18:43:51	66.0	71.0	19	20	16
6/15/13	19:43:51	66.0	66.0	11	6	3
6/16/13	20:43:51	69.0	77.0	2	3	11
6/17/13	21:43:51	67.0	80.0	10	13	7
6/18/13	22:43:51	70.0	73.0	3	16	9
6/19/13	23:43:51	65.0	60.0	3	2	1
6/20/13	0:13:20	68.0	63.0	11	18	4
6/21/13	1:13:20	65.0	71.0	1	27	11
6/22/13	2:13:20	70.0	59.0	13	18	20
6/23/13	3:13:20	67.0	69.0	15	28	4
6/24/13	4:13:20	70.0	71.0	1	2	11
6/25/13	5:13:20	67.0	73.0	11	27	9
6/26/13	6:13:20	69.0	75.0	7	18	2
6/27/13	7:13:20	68.0	65.0	14	10	2
6/28/13	8:13:20	68.0	78.0	4	12	5
6/29/13	9:13:20	66.0	71.0	18	21	1
6/30/13	10:13:20	68.0	61.0	6	8	4
6/1/13	11:13:20	70.0	58.0	4	5	10
6/2/13	12:13:20	66.0	73.0	6	29	12
6/3/13	13:13:20	65.0	70.0	3	17	4
6/4/13	14:13:20	70.0	76.0	12	30	4
6/5/13	15:13:20	66.0	56.0	10	9	8
6/6/13	16:13:20	66.0	75.0	8	9	11
6/7/13	17:13:20	69.0	76.0	10	1	12
6/8/13	18:13:20	65.0	66.0	5	1	20
6/9/13	19:13:20	65.0	72.0	13	6	7
6/10/13	20:13:20	69.0	75.0	17	4	18
6/11/13	21:13:20	65.0	72.0	4	26	19
6/12/13	22:13:20	65.0	80.0	16	3	12
6/13/13	23:13:20	70.0	63.0	16	4	6
6/14/13	0:33:07	66.0	77.0	14	26	2
6/15/13	1:33:07	68.0	66.0	4	13	20
6/16/13	2:33:07	69.0	59.0	10	23	11
6/17/13	3:33:07	70.0	59.0	11	30	2
6/18/13	4:33:07	69.0	75.0	14	28	3
6/19/13	5:33:07	65.0	80.0	18	26	2
6/20/13	6:33:07	68.0	68.0	12	13	6
6/21/13	7:33:07	68.0	59.0	12	9	19
6/22/13	8:33:07	70.0	55.0	11	24	10
6/23/13	9:33:07	67.0	68.0	19	4	17
6/24/13	10:33:07	65.0	64.0	15	11	17
6/25/13	11:33:07	68.0	61.0	11	1	20
6/26/13	12:33:07	66.0	71.0	9	19	10
6/27/13	13:33:07	69.0	59.0	15	5	14
6/28/13	14:33:07	66.0	80.0	3	28	13
6/29/13	15:33:07	67.0	76.0	16	3	20
6/30/13	16:33:07	70.0	61.0	15	27	17
6/1/13	17:33:07	66.0	77.0	5	8	1
6/2/13	18:33:07	68.0	72.0	15	24	11
6/3/13	19:33:07	66.0	55.0	7	13	1
6/4/13	20:33:07	69.0	65.0	11	24	4
6/5/13	21:33:07	66.0	60.0	17	23	6
6/6/13	22:33:07	68.0	65.0	2	22	7
6/7/13	23:33:07	70.0	77.0	14	4	7
6/8/13	0:00:01	70.0	65.0	16	2	19
6/9/13	1:00:01	65.0	57.0	17	2	4
6/10/13	2:00:01	66.0	55.0	7	14	18
6/11/13	3:00:01	69.0	56.0	8	27	3
6/12/13	4:00:01	67.0	55.0	2	6	11
6/13/13	5:00:01	66.0	63.0	3	29	11
6/14/13	6:00:01	67.0	66.0	16	26	12
6/15/13	7:00:01	68.0	75.0	18	23	18
6/16/13	8:00:01	66.0	60.0	4	22	8
6/17/13	9:00:01	66.0	80.0	8	21	1
6/18/13	10:00:01	70.0	68.0	14	25	4
6/19/13	11:00:01	68.0	74.0	18	19	9
6/20/13	12:00:01	67.0	66.0	1	6	17
6/21/13	13:00:01	68.0	66.0	12	28	16
6/22/13	14:00:01	68.0	68.0	19	28	13
6/23/13	15:00:01	68.0	75.0	11	22	4
6/24/13	16:00:01	68.0	69.0	14	4	4
6/25/13	17:00:01	70.0	75.0	2	14	4
6/26/13	18:00:01	66.0	66.0	20	13	8
6/27/13	19:00:01	70.0	58.0	6	15	10
6/28/13	20:00:01	65.0	56.0	11	1	14
6/29/13	21:00:01	69.0	58.0	3	5	2
6/30/13	22:00:01	67.0	72.0	7	8	3
6/1/13	23:00:01	70.0	60.0	20	25	15
6/2/13	0:13:19	69.0	61.0	4	6	13
6/3/13	1:13:19	68.0	72.0	12	24	10
6/4/13	2:13:19	65.0	63.0	13	4	3
6/5/13	3:13:19	65.0	60.0	6	8	17
6/6/13	4:13:19	69.0	78.0	1	12	13
6/7/13	5:13:19	69.0	73.0	5	3	4
6/8/13	6:13:19	69.0	60.0	4	8	13
6/9/13	7:13:19	69.0	77.0	20	11	1
6/10/13	8:13:19	65.0	62.0	18	23	3
6/11/13	9:13:19	67.0	62.0	13	17	12
6/12/13	10:13:19	66.0	58.0	1	9	18
6/13/13	11:13:19	65.0	79.0	17	25	19
6/14/13	12:13:19	69.0	75.0	11	22	18
6/15/13	13:13:19	69.0	60.0	17	13	1
6/16/13	14:13:19	67.0	74.0	20	20	5
6/17/13	15:13:19	70.0	70.0	18	30	9
6/18/13	16:13:19	67.0	69.0	8	28	13
6/19/13	17:13:19	69.0	69.0	6	1	11
6/20/13	18:13:19	68.0	67.0	7	12	16
6/21/13	19:13:19	69.0	64.0	6	29	14
6/22/13	20:13:19	70.0	58.0	16	5	4
6/23/13	21:13:19	65.0	67.0	4	11	16
6/24/13	22:13:19	65.0	64.0	3	27	9
6/25/13	23:13:19	70.0	74.0	7	2	8
6/26/13	0:43:51	70.0	78.0	10	16	18
6/27/13	1:43:51	65.0	63.0	11	17	10
6/28/13	2:43:51	65.0	57.0	1	26	20
6/29/13	3:43:51	69.0	70.0	12	4	2
6/30/13	4:43:51	65.0	74.0	14	26	7
6/1/13	5:43:51	68.0	56.0	16	28	6
6/2/13	6:43:51	69.0	68.0	4	19	6
6/3/13	7:43:51	66.0	72.0	3	13	1
6/4/13	8:43:51	68.0	66.0	5	5	11
6/5/13	9:43:51	66.0	55.0	1	18	13
6/6/13	10:43:51	67.0	56.0	5	2	14
6/7/13	11:43:51	65.0	56.0	7	17	20
6/8/13	12:43:51	67.0	59.0	6	3	16
6/9/13	13:43:51	70.0	61.0	8	11	10
6/10/13	14:43:51	68.0	63.0	3	12	20
6/11/13	15:43:51	68.0	68.0	6	17	12
6/12/13	16:43:51	66.0	69.0	16	3	6
6/13/13	17:43:51	69.0	74.0	16	7	1
6/14/13	18:43:51	66.0	68.0	7	5	12
6/15/13	19:43:51	70.0	61.0	19	15	7
6/16/13	20:43:51	66.0	77.0	2	23	16
6/17/13	21:43:51	70.0	59.0	19	30	12
6/18/13	22:43:51	68.0	68.0	17	27	6
6/19/13	23:43:51	70.0	74.0	3	9	12
6/20/13	0:13:20	70.0	77.0	5	11	10
6/21/13	1:13:20	66.0	63.0	4	17	2
6/22/13	2:13:20	66.0	75.0	11	19	8
6/23/13	3:13:20	70.0	74.0	1	4	1
6/24/13	4:13:20	69.0	57.0	19	10	14
6/25/13	5:13:20	70.0	72.0	3	22	8
6/26/13	6:13:20	66.0	75.0	8	12	18
6/27/13	7:13:20	67.0	69.0	14	11	16
6/28/13	8:13:20	67.0	76.0	13	7	6
6/29/13	9:13:20	69.0	59.0	4	21	18
6/30/13	10:13:20	65.0	66.0	16	5	7
6/1/13	11:13:20	68.0	62.0	2	14	19
6/2/13	12:13:20	67.0	69.0	8	3	18
6/3/13	13:13:20	68.0	78.0	5	4	17
6/4/13	14:13:20	69.0	80.0	11	19	10
6/5/13	15:13:20	68.0	59.0	18	16	6
6/6/13	16:13:20	68.0	60.0	2	5	15
6/7/13	17:13:20	65.0	66.0	19	24	6
6/8/13	18:13:20	70.0	57.0	5	23	5
6/9/13	19:13:20	66.0	73.0	2	27	8
6/10/13	20:13:20	69.0	67.0	6	3	7

%sql

select BuildingId, Date, (ActualTemp-TargetTemp) AS TempDIFF from tempSeries order by BuildingId

BuildingId	Date	TempDIFF
1	6/29/13	-5.0
1	6/27/13	10.0
1	6/18/13	-7.0
1	6/22/13	-12.0
1	6/23/13	2.0
1	6/10/13	4.0
1	6/3/13	-6.0
1	6/4/13	-7.0
1	6/28/13	7.0
1	6/10/13	4.0
1	6/17/13	-4.0
1	6/27/13	-9.0
1	6/2/13	10.0
1	6/30/13	8.0
1	6/3/13	-5.0
1	6/2/13	-6.0
1	6/13/13	12.0
1	6/10/13	-4.0
1	6/20/13	11.0
1	6/15/13	-4.0
1	6/15/13	-3.0
1	6/14/13	11.0
1	6/30/13	-10.0
1	6/11/13	-9.0
1	6/12/13	-2.0
1	6/17/13	-12.0
1	6/18/13	-5.0
1	6/23/13	9.0
1	6/16/13	1.0
1	6/9/13	7.0
1	6/25/13	-9.0
1	6/27/13	-1.0
1	6/16/13	0.0
1	6/26/13	2.0
1	6/8/13	12.0
1	6/27/13	-8.0
1	6/21/13	-7.0
1	6/2/13	-9.0
1	6/5/13	7.0
1	6/3/13	14.0
1	6/6/13	4.0
1	6/16/13	0.0
1	6/20/13	-11.0
1	6/30/13	-6.0
1	6/20/13	-1.0
1	6/1/13	-10.0
1	6/9/13	4.0
1	6/24/13	-8.0
1	6/18/13	-3.0
1	6/2/13	-4.0
1	6/21/13	1.0
1	6/3/13	7.0
1	6/18/13	2.0
1	6/23/13	10.0
1	6/18/13	1.0
1	6/14/13	-2.0
1	6/16/13	1.0
1	6/29/13	-8.0
1	6/2/13	-12.0
1	6/1/13	-12.0
1	6/7/13	2.0
1	6/16/13	2.0
1	6/30/13	-2.0
1	6/17/13	-12.0
1	6/26/13	-12.0
1	6/16/13	-12.0
1	6/5/13	14.0
1	6/24/13	-10.0
1	6/24/13	-3.0
1	6/2/13	-5.0
1	6/25/13	-1.0
1	6/24/13	2.0
1	6/14/13	9.0
1	6/19/13	1.0
1	6/26/13	-4.0
1	6/18/13	13.0
1	6/15/13	-4.0
1	6/24/13	12.0
1	6/8/13	-7.0
1	6/28/13	6.0
1	6/6/13	1.0
1	6/5/13	-14.0
1	6/24/13	13.0
1	6/22/13	-1.0
1	6/18/13	4.0
1	6/17/13	-4.0
1	6/1/13	4.0
1	6/1/13	11.0
1	6/18/13	0.0
1	6/7/13	2.0
1	6/19/13	-7.0
1	6/28/13	11.0
1	6/20/13	-12.0
1	6/27/13	-2.0
1	6/8/13	-7.0
1	6/1/13	4.0
1	6/8/13	10.0
1	6/8/13	2.0
1	6/13/13	-1.0
1	6/17/13	-13.0
1	6/23/13	8.0
1	6/6/13	-11.0
1	6/23/13	-4.0
1	6/18/13	3.0
1	6/16/13	1.0
1	6/6/13	-1.0
1	6/6/13	-6.0
1	6/9/13	-9.0
1	6/14/13	4.0
1	6/26/13	-4.0
1	6/12/13	3.0
1	6/27/13	4.0
1	6/5/13	7.0
1	6/27/13	-3.0
1	6/1/13	0.0
1	6/19/13	6.0
1	6/30/13	0.0
1	6/6/13	-6.0
1	6/29/13	0.0
1	6/24/13	-8.0
1	6/23/13	-5.0
1	6/6/13	2.0
1	6/7/13	-4.0
1	6/11/13	-8.0
1	6/9/13	2.0
1	6/1/13	1.0
1	6/16/13	-4.0
1	6/1/13	5.0
1	6/7/13	14.0
1	6/3/13	1.0
1	6/21/13	-10.0
1	6/28/13	6.0
1	6/3/13	-8.0
1	6/1/13	1.0
1	6/11/13	7.0
1	6/20/13	-11.0
1	6/24/13	4.0
1	6/14/13	-4.0
1	6/14/13	-9.0
1	6/17/13	7.0
1	6/27/13	-5.0
1	6/19/13	-2.0
1	6/25/13	7.0
1	6/4/13	-5.0
1	6/24/13	-5.0
1	6/13/13	-2.0
1	6/3/13	-4.0
1	6/22/13	5.0
1	6/22/13	-7.0
1	6/21/13	9.0
1	6/26/13	11.0
1	6/19/13	-5.0
1	6/16/13	11.0
1	6/14/13	3.0
1	6/7/13	3.0
1	6/25/13	-7.0
1	6/3/13	2.0
1	6/8/13	-10.0
1	6/13/13	-4.0
1	6/11/13	-7.0
1	6/30/13	-10.0
1	6/24/13	-2.0
1	6/29/13	5.0
1	6/17/13	13.0
1	6/28/13	14.0
1	6/11/13	-4.0
1	6/24/13	-10.0
1	6/22/13	2.0
1	6/28/13	-1.0
1	6/2/13	-10.0
1	6/1/13	11.0
1	6/19/13	-11.0
1	6/4/13	-9.0
1	6/13/13	-6.0
1	6/24/13	-1.0
1	6/23/13	-3.0
1	6/30/13	1.0
1	6/6/13	-10.0
1	6/3/13	-11.0
1	6/4/13	-2.0
1	6/7/13	-13.0
1	6/13/13	9.0
1	6/8/13	-11.0
1	6/27/13	-7.0
1	6/13/13	8.0
1	6/17/13	14.0
1	6/11/13	6.0
1	6/22/13	6.0
1	6/20/13	12.0
1	6/22/13	-2.0
1	6/7/13	-11.0
1	6/12/13	13.0
1	6/12/13	2.0
1	6/29/13	-10.0
1	6/6/13	-8.0
1	6/9/13	8.0
1	6/13/13	-8.0
1	6/9/13	12.0
1	6/17/13	-10.0
1	6/24/13	-13.0
1	6/11/13	6.0
1	6/25/13	11.0
1	6/21/13	0.0
1	6/5/13	-5.0
1	6/3/13	10.0
1	6/24/13	15.0
1	6/18/13	-5.0
1	6/12/13	-1.0
1	6/15/13	-9.0
1	6/16/13	-8.0
1	6/19/13	4.0
1	6/15/13	-3.0
1	6/14/13	-6.0
1	6/24/13	-3.0
1	6/22/13	-6.0
1	6/28/13	-3.0
1	6/1/13	-5.0
1	6/11/13	12.0
1	6/6/13	-12.0
1	6/15/13	13.0
1	6/28/13	1.0
1	6/26/13	-11.0
1	6/3/13	6.0
1	6/8/13	3.0
1	6/14/13	-3.0
1	6/9/13	3.0
1	6/18/13	9.0
1	6/21/13	-11.0
1	6/12/13	12.0
1	6/10/13	3.0
1	6/11/13	-7.0
1	6/9/13	-1.0
1	6/22/13	10.0
1	6/4/13	6.0
1	6/5/13	10.0
1	6/13/13	5.0
1	6/28/13	-13.0
1	6/10/13	1.0
1	6/27/13	4.0
1	6/24/13	-8.0
1	6/11/13	-9.0
1	6/11/13	-9.0
1	6/5/13	10.0
1	6/7/13	-4.0
1	6/2/13	-1.0
1	6/1/13	-6.0
1	6/29/13	4.0
1	6/7/13	11.0
1	6/29/13	9.0
1	6/10/13	-3.0
1	6/19/13	-7.0
1	6/20/13	14.0
1	6/20/13	1.0
1	6/13/13	0.0
1	6/25/13	3.0
1	6/9/13	-4.0
1	6/23/13	4.0
1	6/20/13	-4.0
1	6/29/13	-1.0
1	6/27/13	9.0
1	6/1/13	4.0
1	6/10/13	1.0
1	6/5/13	-7.0
1	6/13/13	1.0
1	6/6/13	-12.0
1	6/30/13	15.0
1	6/1/13	-12.0
1	6/24/13	-9.0
1	6/19/13	-4.0
1	6/8/13	-6.0
1	6/27/13	3.0
1	6/7/13	4.0
1	6/15/13	-1.0
1	6/20/13	9.0
1	6/11/13	8.0
1	6/28/13	-2.0
1	6/17/13	7.0
1	6/26/13	4.0
1	6/5/13	1.0
1	6/27/13	10.0
1	6/30/13	-8.0
1	6/24/13	8.0
1	6/18/13	10.0
1	6/2/13	-11.0
1	6/28/13	-6.0
1	6/28/13	-4.0
1	6/25/13	-6.0
1	6/20/13	4.0
1	6/17/13	1.0
1	6/24/13	10.0
1	6/11/13	8.0
1	6/5/13	8.0
1	6/4/13	-1.0
1	6/29/13	7.0
1	6/19/13	-1.0
1	6/17/13	-6.0
1	6/27/13	-8.0
1	6/12/13	-2.0
1	6/4/13	-12.0
1	6/21/13	6.0
1	6/15/13	-10.0
1	6/25/13	6.0
1	6/30/13	4.0
1	6/25/13	-5.0
1	6/11/13	-2.0
1	6/8/13	6.0
1	6/2/13	-7.0
1	6/19/13	8.0
1	6/26/13	-10.0
1	6/6/13	-9.0
1	6/9/13	5.0
1	6/19/13	-11.0
1	6/1/13	-4.0
1	6/27/13	6.0
1	6/11/13	-2.0
1	6/23/13	6.0
1	6/8/13	10.0
1	6/25/13	10.0
1	6/18/13	5.0
1	6/13/13	1.0
1	6/16/13	2.0
1	6/15/13	4.0
1	6/25/13	6.0
1	6/25/13	-12.0
1	6/24/13	-5.0
1	6/7/13	-3.0
1	6/18/13	6.0
1	6/24/13	0.0
1	6/24/13	7.0
1	6/16/13	-10.0
1	6/1/13	-3.0
1	6/14/13	-2.0
1	6/30/13	-9.0
1	6/17/13	7.0
1	6/16/13	-2.0
1	6/8/13	2.0
1	6/25/13	-6.0
1	6/24/13	4.0
1	6/5/13	4.0
1	6/15/13	0.0
1	6/7/13	2.0
1	6/13/13	15.0
1	6/18/13	0.0
1	6/30/13	-9.0
1	6/11/13	-10.0
1	6/21/13	7.0
1	6/19/13	0.0
1	6/7/13	-4.0
1	6/7/13	4.0
1	6/17/13	4.0
1	6/24/13	-3.0
1	6/29/13	11.0
1	6/25/13	9.0
1	6/13/13	10.0
1	6/30/13	1.0
1	6/25/13	-11.0
1	6/26/13	1.0
1	6/30/13	-6.0
1	6/2/13	-1.0
1	6/10/13	8.0
1	6/29/13	-7.0
1	6/21/13	-3.0
1	6/21/13	2.0
1	6/26/13	-3.0
1	6/22/13	-11.0
1	6/8/13	12.0
1	6/16/13	10.0
1	6/6/13	11.0
1	6/2/13	2.0
1	6/25/13	-8.0
1	6/30/13	-1.0
1	6/23/13	7.0
1	6/6/13	-8.0
1	6/21/13	7.0
1	6/9/13	-12.0
1	6/23/13	-9.0
1	6/24/13	13.0
1	6/2/13	-13.0
1	6/27/13	11.0
1	6/12/13	7.0
1	6/13/13	13.0
1	6/7/13	15.0
1	6/15/13	0.0
1	6/1/13	3.0
1	6/21/13	10.0
1	6/22/13	11.0
1	6/13/13	-8.0
1	6/14/13	-5.0
1	6/10/13	-3.0
1	6/29/13	0.0
1	6/11/13	4.0
1	6/18/13	-6.0
1	6/29/13	2.0
10	6/17/13	-6.0
10	6/8/13	13.0
10	6/3/13	-6.0
10	6/17/13	4.0
10	6/16/13	8.0
10	6/10/13	-12.0
10	6/29/13	2.0
10	6/11/13	-6.0
10	6/8/13	10.0
10	6/29/13	-2.0
10	6/30/13	9.0
10	6/6/13	7.0
10	6/5/13	5.0
10	6/13/13	-2.0
10	6/21/13	-2.0
10	6/13/13	14.0
10	6/4/13	8.0
10	6/6/13	-5.0
10	6/15/13	-7.0
10	6/25/13	2.0
10	6/12/13	11.0
10	6/30/13	0.0
10	6/19/13	4.0
10	6/12/13	7.0
10	6/8/13	3.0
10	6/24/13	0.0
10	6/27/13	7.0
10	6/10/13	10.0
10	6/20/13	-7.0
10	6/15/13	3.0
10	6/7/13	7.0
10	6/17/13	3.0
10	6/14/13	-4.0
10	6/14/13	-8.0
10	6/30/13	6.0
10	6/11/13	-10.0
10	6/3/13	13.0
10	6/22/13	-7.0
10	6/21/13	9.0
10	6/9/13	-3.0
10	6/24/13	8.0
10	6/13/13	-13.0
10	6/13/13	-11.0
10	6/15/13	-3.0
10	6/11/13	-10.0
10	6/22/13	1.0
10	6/18/13	8.0
10	6/10/13	11.0
10	6/15/13	9.0
10	6/2/13	-10.0
10	6/20/13	11.0
10	6/14/13	-3.0
10	6/12/13	-11.0
10	6/1/13	12.0
10	6/2/13	-6.0
10	6/18/13	3.0
10	6/27/13	0.0
10	6/17/13	4.0
10	6/21/13	-1.0
10	6/21/13	2.0
10	6/25/13	12.0
10	6/11/13	-11.0
10	6/22/13	0.0
10	6/10/13	11.0
10	6/19/13	-10.0
10	6/15/13	-9.0
10	6/15/13	-8.0
10	6/16/13	-1.0
10	6/1/13	-6.0
10	6/9/13	-3.0
10	6/2/13	-2.0
10	6/9/13	-9.0
10	6/29/13	1.0
10	6/27/13	8.0
10	6/19/13	-5.0
10	6/25/13	3.0
10	6/19/13	-4.0
10	6/24/13	-5.0
10	6/24/13	-1.0
10	6/1/13	11.0
10	6/20/13	3.0
10	6/15/13	-5.0
10	6/10/13	-12.0
10	6/15/13	5.0
10	6/9/13	-4.0
10	6/1/13	3.0
10	6/28/13	-9.0
10	6/11/13	-4.0
10	6/16/13	10.0
10	6/29/13	6.0
10	6/17/13	-4.0
10	6/8/13	-9.0
10	6/23/13	-7.0
10	6/14/13	0.0
10	6/14/13	4.0
10	6/14/13	14.0
10	6/14/13	2.0
10	6/22/13	-5.0
10	6/19/13	11.0
10	6/15/13	1.0
10	6/19/13	9.0
10	6/4/13	-3.0
10	6/7/13	-3.0
10	6/12/13	3.0
10	6/3/13	5.0
10	6/7/13	-4.0
10	6/25/13	-12.0
10	6/6/13	-9.0
10	6/19/13	-10.0
10	6/12/13	7.0
10	6/16/13	7.0
10	6/16/13	10.0
10	6/24/13	1.0
10	6/19/13	-14.0
10	6/24/13	9.0
10	6/16/13	-1.0
10	6/4/13	-3.0
10	6/30/13	9.0
10	6/4/13	9.0
10	6/3/13	2.0
10	6/2/13	1.0
10	6/8/13	4.0
10	6/24/13	4.0
10	6/11/13	10.0
10	6/15/13	8.0
10	6/27/13	2.0
10	6/28/13	-5.0
10	6/8/13	10.0
10	6/16/13	14.0
10	6/25/13	-13.0
10	6/24/13	-4.0
10	6/8/13	-14.0
10	6/27/13	-12.0
10	6/4/13	11.0
10	6/12/13	3.0
10	6/10/13	5.0
10	6/20/13	3.0
10	6/9/13	2.0
10	6/23/13	-1.0
10	6/22/13	3.0
10	6/26/13	-3.0
10	6/29/13	-5.0
10	6/9/13	-8.0
10	6/25/13	4.0
10	6/16/13	5.0
10	6/26/13	-8.0
10	6/25/13	-6.0
10	6/11/13	2.0
10	6/26/13	-12.0
10	6/5/13	-10.0
10	6/14/13	-5.0
10	6/4/13	-11.0
10	6/29/13	-6.0
10	6/21/13	11.0
10	6/16/13	12.0
10	6/13/13	8.0
10	6/6/13	4.0
10	6/26/13	7.0
10	6/1/13	-13.0
10	6/28/13	-4.0
10	6/21/13	4.0
10	6/30/13	13.0
10	6/1/13	-2.0
10	6/14/13	14.0
10	6/26/13	-8.0
10	6/23/13	-3.0
10	6/25/13	-11.0
10	6/6/13	7.0
10	6/21/13	-2.0
10	6/11/13	13.0
10	6/13/13	9.0
10	6/6/13	5.0
10	6/21/13	-3.0
10	6/10/13	-9.0
10	6/14/13	-1.0
10	6/17/13	-4.0
10	6/21/13	2.0
10	6/10/13	6.0
10	6/18/13	-6.0
10	6/28/13	0.0
10	6/29/13	-3.0
10	6/13/13	8.0
10	6/8/13	-8.0
10	6/19/13	6.0
10	6/21/13	-7.0
10	6/18/13	-10.0
10	6/24/13	-13.0
10	6/1/13	3.0
10	6/16/13	-1.0
10	6/4/13	-13.0
10	6/18/13	-4.0
10	6/7/13	8.0
10	6/4/13	3.0
10	6/30/13	8.0
10	6/19/13	-6.0
10	6/6/13	-2.0
10	6/5/13	-3.0
10	6/4/13	2.0
10	6/24/13	13.0
10	6/13/13	-4.0
10	6/10/13	-10.0
10	6/4/13	-12.0
10	6/11/13	10.0
10	6/30/13	-1.0
10	6/7/13	5.0
10	6/11/13	-1.0
10	6/14/13	-5.0
10	6/4/13	-2.0
10	6/8/13	-5.0
10	6/16/13	14.0
10	6/20/13	5.0
10	6/8/13	12.0
10	6/11/13	10.0
10	6/4/13	8.0
10	6/8/13	9.0
10	6/20/13	10.0
10	6/10/13	-7.0
10	6/23/13	-6.0
10	6/6/13	2.0
10	6/22/13	9.0
10	6/2/13	12.0
10	6/20/13	0.0
10	6/21/13	-3.0
10	6/15/13	1.0
10	6/10/13	8.0
10	6/24/13	9.0
10	6/11/13	-2.0
10	6/27/13	4.0
10	6/14/13	1.0
10	6/9/13	-9.0
10	6/25/13	6.0
10	6/8/13	8.0
10	6/16/13	11.0
10	6/12/13	-2.0
10	6/3/13	-1.0
10	6/8/13	12.0
10	6/20/13	-6.0
10	6/6/13	10.0
10	6/23/13	6.0
10	6/29/13	3.0
10	6/19/13	5.0
10	6/25/13	-10.0
10	6/2/13	-5.0
10	6/11/13	-5.0
10	6/19/13	-3.0
10	6/5/13	5.0
10	6/3/13	11.0
10	6/20/13	9.0
10	6/24/13	-6.0
10	6/3/13	0.0
10	6/27/13	5.0
10	6/8/13	12.0
10	6/9/13	-6.0
10	6/1/13	-9.0
10	6/23/13	-9.0
10	6/30/13	-11.0
10	6/2/13	-7.0
10	6/15/13	-11.0
10	6/20/13	4.0
10	6/24/13	-4.0
10	6/6/13	12.0
10	6/18/13	-11.0
10	6/14/13	6.0
10	6/8/13	-3.0
10	6/17/13	-7.0
10	6/17/13	4.0
10	6/11/13	-10.0
10	6/25/13	-11.0
10	6/27/13	9.0
10	6/22/13	6.0
10	6/25/13	9.0
10	6/12/13	-11.0
10	6/21/13	-8.0
10	6/11/13	4.0
10	6/12/13	-11.0
10	6/21/13	-13.0
10	6/28/13	-3.0
10	6/8/13	-2.0
10	6/14/13	13.0
10	6/17/13	-7.0
10	6/23/13	12.0
10	6/23/13	-11.0
10	6/3/13	-1.0
10	6/11/13	1.0
10	6/5/13	14.0
10	6/30/13	-3.0
10	6/17/13	3.0
10	6/3/13	-6.0
10	6/25/13	9.0
10	6/28/13	1.0
10	6/13/13	-10.0
10	6/24/13	7.0
10	6/25/13	-1.0
10	6/17/13	-9.0
10	6/22/13	-15.0
10	6/26/13	5.0
10	6/3/13	4.0
10	6/27/13	-2.0
10	6/9/13	-9.0
10	6/20/13	7.0
10	6/3/13	-11.0
10	6/3/13	-8.0
10	6/22/13	4.0
10	6/9/13	-1.0
10	6/9/13	-7.0
10	6/13/13	-3.0
10	6/4/13	-6.0
10	6/15/13	-2.0
10	6/28/13	-5.0
10	6/24/13	-10.0
10	6/18/13	2.0
10	6/23/13	2.0
10	6/19/13	-4.0
10	6/30/13	1.0
10	6/27/13	-4.0
10	6/12/13	-5.0
10	6/20/13	-8.0
10	6/10/13	-2.0
10	6/26/13	15.0
10	6/27/13	0.0
10	6/29/13	1.0
10	6/16/13	6.0
10	6/20/13	5.0
10	6/2/13	10.0
10	6/27/13	-13.0
10	6/2/13	-6.0
10	6/16/13	-2.0
10	6/21/13	15.0
10	6/27/13	-7.0
10	6/2/13	-4.0
10	6/2/13	11.0
10	6/15/13	-3.0
10	6/3/13	-1.0
10	6/19/13	9.0
10	6/10/13	-8.0
10	6/24/13	-11.0
10	6/26/13	8.0
10	6/19/13	-12.0
10	6/11/13	9.0
10	6/5/13	-14.0
10	6/14/13	-12.0
10	6/11/13	2.0
10	6/20/13	1.0
10	6/11/13	-3.0
10	6/21/13	10.0
10	6/8/13	7.0
10	6/13/13	-11.0
10	6/17/13	-8.0
10	6/18/13	6.0
10	6/4/13	13.0
10	6/1/13	-5.0
10	6/27/13	-5.0
10	6/16/13	3.0
10	6/2/13	7.0
10	6/4/13	-2.0
10	6/13/13	-9.0
10	6/13/13	-7.0
10	6/1/13	-7.0
10	6/2/13	-5.0
10	6/10/13	0.0
10	6/22/13	9.0
10	6/18/13	3.0
10	6/24/13	7.0
10	6/26/13	9.0
10	6/12/13	7.0
10	6/21/13	1.0
10	6/14/13	10.0
10	6/1/13	-8.0
10	6/16/13	1.0
10	6/12/13	7.0
10	6/19/13	-8.0
10	6/29/13	11.0
10	6/21/13	-14.0
10	6/3/13	10.0
10	6/13/13	-5.0
10	6/21/13	-3.0
10	6/23/13	9.0
10	6/1/13	8.0
10	6/2/13	-10.0
10	6/6/13	9.0
10	6/24/13	2.0
10	6/6/13	9.0
10	6/17/13	0.0
10	6/10/13	10.0
10	6/5/13	8.0
10	6/4/13	-9.0
10	6/26/13	-9.0
10	6/17/13	-11.0
10	6/12/13	-3.0
10	6/19/13	-11.0
10	6/4/13	2.0
10	6/30/13	4.0
10	6/21/13	11.0
10	6/19/13	-12.0
10	6/8/13	-2.0
10	6/30/13	-11.0
10	6/1/13	-2.0
10	6/7/13	1.0
10	6/9/13	-14.0
10	6/4/13	-6.0
10	6/27/13	-1.0
10	6/22/13	14.0
10	6/27/13	2.0
10	6/13/13	-4.0
10	6/14/13	-5.0
10	6/5/13	-6.0
10	6/26/13	-5.0
10	6/2/13	-7.0
10	6/10/13	-11.0
10	6/7/13	4.0
10	6/14/13	-5.0
10	6/12/13	15.0
10	6/4/13	-13.0
10	6/25/13	8.0
10	6/15/13	-9.0
10	6/4/13	-6.0
10	6/8/13	15.0
10	6/29/13	7.0
10	6/5/13	11.0
10	6/13/13	-3.0
10	6/21/13	9.0
10	6/1/13	-12.0
10	6/7/13	8.0
10	6/4/13	-4.0
10	6/7/13	9.0
11	6/24/13	1.0
11	6/21/13	-11.0
11	6/10/13	5.0
11	6/1/13	8.0
11	6/11/13	4.0
11	6/18/13	12.0
11	6/24/13	9.0
11	6/24/13	-4.0
11	6/13/13	-5.0
11	6/22/13	9.0
11	6/26/13	3.0
11	6/13/13	6.0
11	6/4/13	0.0
11	6/25/13	-4.0
11	6/18/13	-14.0
11	6/6/13	-13.0
11	6/8/13	7.0
11	6/1/13	-7.0
11	6/23/13	-5.0
11	6/30/13	-6.0
11	6/27/13	-6.0
11	6/27/13	-4.0
11	6/22/13	-4.0
11	6/16/13	-9.0
11	6/17/13	11.0
11	6/21/13	8.0
11	6/24/13	-11.0
11	6/28/13	-12.0
11	6/15/13	-3.0
11	6/1/13	8.0
11	6/6/13	9.0
11	6/3/13	-4.0
11	6/9/13	7.0
11	6/6/13	-9.0
11	6/5/13	10.0
11	6/13/13	8.0
11	6/5/13	-5.0
11	6/14/13	3.0
11	6/6/13	9.0
11	6/8/13	-4.0
11	6/23/13	-1.0
11	6/3/13	-7.0
11	6/2/13	12.0
11	6/3/13	1.0
11	6/10/13	2.0
11	6/30/13	-9.0
11	6/25/13	10.0
11	6/16/13	-3.0
11	6/28/13	14.0
11	6/19/13	7.0
11	6/15/13	-5.0
11	6/15/13	6.0
11	6/16/13	11.0
11	6/27/13	2.0
11	6/30/13	-8.0
11	6/20/13	-8.0
11	6/28/13	-6.0
11	6/20/13	-10.0
11	6/14/13	6.0
11	6/28/13	-6.0
11	6/7/13	12.0
11	6/16/13	-9.0
11	6/15/13	-1.0
11	6/26/13	-4.0
11	6/9/13	4.0
11	6/24/13	1.0
11	6/12/13	-12.0
11	6/9/13	11.0
11	6/28/13	9.0
11	6/16/13	9.0
11	6/28/13	1.0
11	6/24/13	-13.0
11	6/18/13	1.0
11	6/5/13	-14.0
11	6/30/13	-9.0
11	6/4/13	-4.0
11	6/15/13	-6.0
11	6/17/13	-11.0
11	6/4/13	10.0
11	6/1/13	-13.0
11	6/8/13	-5.0
11	6/1/13	-2.0
11	6/26/13	-9.0
11	6/9/13	10.0
11	6/4/13	1.0
11	6/6/13	-3.0
11	6/12/13	9.0
11	6/6/13	-6.0
11	6/3/13	1.0
11	6/8/13	10.0
11	6/1/13	5.0
11	6/11/13	-7.0
11	6/2/13	-5.0
11	6/25/13	6.0
11	6/16/13	-9.0
11	6/12/13	-1.0
11	6/15/13	-12.0
11	6/7/13	3.0
11	6/13/13	2.0
11	6/17/13	-10.0
11	6/10/13	1.0
11	6/10/13	10.0
11	6/12/13	-3.0
11	6/16/13	-10.0
11	6/13/13	-3.0
11	6/19/13	0.0
11	6/8/13	-11.0
11	6/3/13	5.0
11	6/6/13	1.0
11	6/20/13	0.0
11	6/3/13	-6.0
11	6/1/13	-4.0
11	6/4/13	4.0
11	6/29/13	-1.0
11	6/20/13	-14.0
11	6/16/13	-9.0
11	6/18/13	-6.0
11	6/13/13	7.0
11	6/24/13	-3.0
11	6/1/13	0.0
11	6/19/13	6.0
11	6/11/13	-11.0
11	6/22/13	-7.0
11	6/16/13	-9.0
11	6/23/13	4.0
11	6/29/13	10.0
11	6/30/13	-8.0
11	6/8/13	10.0
11	6/6/13	-4.0
11	6/5/13	0.0
11	6/29/13	-9.0
11	6/2/13	9.0
11	6/7/13	-2.0
11	6/3/13	-2.0
11	6/17/13	3.0
11	6/5/13	4.0
11	6/15/13	11.0
11	6/6/13	-1.0
11	6/17/13	9.0
11	6/18/13	1.0
11	6/11/13	7.0
11	6/24/13	0.0
11	6/11/13	-2.0
11	6/18/13	-11.0
11	6/29/13	-5.0
11	6/28/13	3.0
11	6/21/13	-3.0
11	6/2/13	0.0
11	6/2/13	2.0
11	6/7/13	3.0
11	6/16/13	8.0
11	6/21/13	6.0
11	6/2/13	4.0
11	6/4/13	-2.0
11	6/16/13	-10.0
11	6/15/13	1.0
11	6/25/13	-6.0
11	6/9/13	7.0
11	6/25/13	5.0
11	6/18/13	-5.0
11	6/29/13	2.0
11	6/22/13	-5.0
11	6/23/13	-9.0
11	6/23/13	6.0
11	6/9/13	1.0
11	6/22/13	-12.0
11	6/8/13	3.0
11	6/7/13	-14.0
11	6/18/13	6.0
11	6/9/13	5.0
11	6/4/13	-8.0
11	6/17/13	-1.0
11	6/26/13	-11.0
11	6/24/13	-8.0
11	6/26/13	8.0
11	6/13/13	-12.0
11	6/7/13	5.0
11	6/17/13	1.0
11	6/1/13	-9.0
11	6/26/13	2.0
11	6/25/13	-12.0
11	6/16/13	-4.0

%sql 

select a.BuildingId, count(a.TempDIFF) from (
    select BuildingId, (ActualTemp-TargetTemp) as TempDIFF from tempSeries LIMIT 1000) a
    WHERE a.TempDIFF > 0 GROUP BY BuildingId

BuildingId	_c1
8	21
9	37
19	18
17	17
18	25
14	13
13	21
16	30
20	20
15	19
10	21
12	23
11	24
1	25
3	26
2	35
5	22
4	24
7	24
6	23

%pyspark

#You must now load the data (hvac.csv), parse it, and use it to train the model. For this, you define a function that checks whether the actual temperature of the building is greater than the target temperature. If the actual temperature is greater, the building is hot, denoted by the value 1.0. If the actual temperature is lesser, the building is cold, denoted by the value 0.0.

# List the structure of data for better understanding. Because the data will be
# loaded as an array, this structure makes it easy to understand what each element
# in the array corresponds to

# 0 Date
# 1 Time
# 2 TargetTemp
# 3 ActualTemp
# 4 System
# 5 SystemAge
# 6 BuildingID


from pyspark.ml import Pipeline
from pyspark.ml.classification import LogisticRegression
from pyspark.ml.feature import HashingTF, Tokenizer
from pyspark.sql import Row, SQLContext

import os
import sys
from pyspark import SparkConf
from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import *

from pyspark.mllib.classification import LogisticRegressionWithSGD
from pyspark.mllib.regression import LabeledPoint
from numpy import array

LabeledDocument = Row("BuildingID", "SystemInfo", "label")

# Define a function that parses the raw CSV file and returns an object of type LabeledDocument

def parseDocument(line):
    values = [str(x) for x in line.split(',')]
    if (values[3] > values[2]):
        hot = 1.0
    else:
        hot = 0.0        

    textValue = str(values[4]) + " " + str(values[5])

    return LabeledDocument((values[6]), textValue, hot)

# Load the raw HVAC.csv file, parse it using the function
data = sc.textFile("hdfs:///user/zeppelin/SensorDemo/HVAC.csv")

documents = data.filter(lambda s: "Date" not in s).map(parseDocument)
training = documents.toDF()

%pyspark

#Prepare a data set to run the trained model against. To do so, we would pass on a system ID and system age (denoted as SystemInfo in the training output), and the model would predict whether the building with that system ID and system age would be hotter (denoted by 1.0) or cooler (denoted by 0.0).

tokenizer = Tokenizer(inputCol="SystemInfo", outputCol="words")
hashingTF = HashingTF(inputCol=tokenizer.getOutputCol(), outputCol="features")
lr = LogisticRegression(maxIter=10, regParam=0.01)
pipeline = Pipeline(stages=[tokenizer, hashingTF, lr])

%pyspark

model = pipeline.fit(training)
#training.show()
training.registerTempTable("eventStaging")

%sql

select * from eventStaging

BuildingID	SystemInfo	label
4	13 20	0.0
17	3 20	0.0
18	17 20	1.0
15	2 23	0.0
3	16 9	1.0
4	13 28	0.0
2	12 24	0.0
16	20 26	1.0
9	16 9	1.0
12	6 5	0.0
15	10 17	1.0
7	2 11	0.0
15	14 2	1.0
6	3 2	0.0
20	19 22	0.0
8	19 11	0.0
6	15 7	0.0
13	12 5	0.0
4	8 22	0.0
7	17 5	0.0
17	7 5	1.0
9	6 29	1.0
20	6 18	0.0
6	15 13	0.0
18	19 14	1.0
8	1 6	1.0
14	16 14	0.0
15	8 18	0.0
13	7 6	1.0
5	7 13	0.0
3	11 15	0.0
18	14 1	0.0
11	14 18	0.0
9	1 5	1.0
10	5 5	1.0
19	16 8	1.0
2	17 30	1.0
10	4 13	1.0
2	2 17	1.0
6	15 17	1.0
3	16 24	1.0
2	18 25	0.0
1	2 14	1.0
5	9 22	1.0
4	9 6	0.0
9	19 20	1.0
2	2 4	1.0
12	1 13	1.0
5	11 9	0.0
2	7 30	0.0
14	16 28	0.0
9	3 4	0.0
6	2 12	0.0
20	15 30	0.0
17	11 13	0.0
18	13 22	1.0
7	15 28	0.0
2	4 24	0.0
9	17 25	0.0
6	8 17	0.0
7	6 15	1.0
12	20 26	1.0
18	3 24	0.0
6	20 25	0.0
9	2 14	1.0
10	1 9	1.0
15	13 29	1.0
11	11 25	1.0
16	6 21	1.0
14	3 19	1.0
2	9 28	1.0
20	7 26	1.0
12	8 19	1.0
1	6 1	0.0
6	7 12	0.0
12	11 16	0.0
19	17 17	0.0
19	6 17	0.0
6	9 21	1.0
16	13 14	1.0
14	1 8	0.0
3	15 20	1.0
19	5 22	0.0
2	19 24	0.0
20	14 5	0.0
9	18 28	0.0
14	4 30	1.0
17	8 23	0.0
2	7 24	1.0
12	17 9	0.0
12	7 21	0.0
13	4 1	1.0
6	18 20	1.0
15	4 21	0.0
7	18 19	1.0
5	13 3	0.0
1	18 8	1.0
9	16 24	1.0
9	16 23	1.0
15	10 29	1.0
11	18 18	1.0
6	17 6	1.0
7	9 11	1.0
16	13 21	0.0
10	10 20	0.0
13	7 8	1.0
16	4 25	0.0
13	1 9	0.0
10	7 5	0.0
3	2 15	0.0
3	8 17	0.0
11	6 9	1.0
16	7 1	0.0
17	6 28	1.0
12	20 20	0.0
19	11 12	0.0
9	5 4	1.0
14	4 21	1.0
6	6 12	0.0
2	10 9	0.0
7	5 8	0.0
16	3 10	1.0
15	4 13	1.0
7	13 28	1.0
3	2 26	0.0
11	15 8	0.0
13	3 27	0.0
19	17 6	1.0
4	12 17	1.0
17	2 8	0.0
4	11 29	0.0
7	14 6	0.0
6	19 16	0.0
2	6 26	1.0
6	7 4	1.0
14	18 5	0.0
12	16 4	0.0
1	10 25	0.0
10	20 5	0.0
15	1 10	1.0
9	14 29	1.0
4	9 7	1.0
17	17 24	0.0
19	15 16	1.0
9	4 13	0.0
2	7 15	0.0
17	9 8	0.0
20	20 27	0.0
20	13 5	1.0
9	10 20	0.0
7	9 28	0.0
7	15 2	1.0
20	4 5	0.0
5	1 6	0.0
19	20 15	1.0
18	8 20	1.0
4	20 10	0.0
17	7 18	0.0
7	5 9	1.0
17	2 1	0.0
3	19 29	0.0
1	20 9	0.0
4	1 18	1.0
7	3 25	0.0
1	8 18	0.0
5	20 27	0.0
1	14 16	1.0
1	20 30	1.0
2	16 10	0.0
11	16 24	0.0
16	16 25	1.0
17	18 13	1.0
19	2 10	0.0
8	14 22	0.0
16	5 12	1.0
4	17 15	1.0
17	20 19	0.0
11	2 25	0.0
6	3 19	0.0
20	2 27	0.0
3	9 12	0.0
19	5 21	1.0
11	19 27	1.0
20	15 16	1.0
12	19 15	0.0
20	9 2	1.0
18	18 25	1.0
20	19 15	1.0
1	14 15	0.0
10	15 16	1.0
9	8 2	1.0
5	16 2	0.0
9	1 9	1.0
15	19 26	0.0
16	6 28	0.0
5	17 22	1.0
2	13 1	0.0
6	19 10	0.0
10	19 18	1.0
14	2 10	0.0
14	19 26	0.0
6	13 17	1.0
12	1 1	0.0
5	1 12	0.0
1	1 3	0.0
15	7 21	0.0
4	10 23	0.0
18	8 10	0.0
12	12 8	1.0
8	1 7	0.0
8	9 5	1.0
10	11 29	0.0
11	2 2	0.0
12	7 1	1.0
5	13 16	1.0
9	14 25	0.0
17	11 19	1.0
9	3 11	0.0
8	20 18	1.0
20	15 15	1.0
19	17 11	0.0
17	3 12	0.0
4	12 28	0.0
2	16 21	1.0
16	14 27	0.0
20	14 10	1.0
17	12 8	1.0
7	8 29	0.0
19	13 9	0.0
1	6 14	1.0
2	6 1	0.0
9	8 3	0.0
9	4 26	1.0
1	6 19	0.0
6	14 12	1.0
20	8 21	0.0
15	4 14	1.0
3	19 29	1.0
16	16 5	1.0
8	14 1	1.0
17	14 6	0.0
3	5 19	1.0
12	7 21	1.0
14	2 6	1.0
10	15 30	1.0
3	11 5	1.0
17	18 1	1.0
11	11 7	1.0
4	17 24	1.0
13	7 15	0.0
9	2 5	0.0
13	1 30	1.0
9	6 2	1.0
13	1 13	0.0
9	6 2	1.0
12	4 22	1.0
1	19 10	0.0
13	18 17	1.0
2	2 27	0.0
5	6 4	1.0
9	2 1	1.0
12	13 12	1.0
19	15 17	1.0
2	2 22	1.0
16	10 5	1.0
9	4 30	1.0
3	9 23	1.0
19	9 15	1.0
18	1 14	0.0
8	15 19	0.0
16	2 3	1.0
19	3 24	1.0
2	8 22	1.0
15	3 28	0.0
11	12 10	1.0
10	7 3	1.0
13	2 15	1.0
1	20 19	1.0
1	7 1	0.0
13	12 7	1.0
18	16 26	0.0
14	17 3	0.0
3	13 23	0.0
14	14 14	0.0
3	10 23	0.0
15	17 24	0.0
11	9 15	1.0
7	3 7	1.0
15	7 3	0.0
8	8 23	1.0
10	6 23	0.0
19	15 30	0.0
1	12 24	1.0
10	17 7	0.0
18	9 21	0.0
12	6 6	0.0
17	11 1	0.0
16	2 26	0.0
15	6 14	0.0
10	6 5	0.0
8	12 25	1.0
17	3 3	1.0
4	6 17	1.0
5	14 17	0.0
5	9 30	0.0
1	8 4	1.0
16	7 26	1.0
15	2 16	1.0
16	14 18	1.0
2	5 26	1.0
20	9 28	1.0
5	11 7	0.0
6	3 24	0.0
1	14 3	1.0
14	11 2	1.0
2	4 23	1.0
9	18 20	0.0
18	6 20	1.0
20	6 2	1.0
6	14 5	0.0
5	8 6	1.0
14	10 30	0.0
9	8 1	0.0
5	20 17	1.0
6	8 14	1.0
12	20 9	0.0
10	7 13	1.0
17	10 30	1.0
2	11 3	1.0
12	14 26	0.0
1	11 30	1.0
9	19 21	0.0
1	13 2	1.0
19	16 30	0.0
2	5 27	1.0
4	15 11	0.0
8	9 28	1.0
19	14 4	1.0
18	1 15	1.0
12	5 9	1.0
8	11 6	1.0
4	12 13	1.0
1	17 8	0.0
5	14 21	0.0
3	10 29	1.0
19	3 20	1.0
10	9 4	0.0
8	8 7	0.0
13	8 19	0.0
10	15 28	1.0
20	14 12	0.0
1	8 7	0.0
18	2 2	0.0
16	3 6	0.0
3	20 2	1.0
16	16 24	0.0
2	10 15	1.0
8	4 16	0.0
13	6 9	0.0
16	12 14	1.0
12	18 8	0.0
13	20 26	0.0
18	12 1	0.0
2	11 10	0.0
11	20 14	1.0
17	20 26	1.0
14	16 25	1.0
17	2 17	1.0
4	18 19	0.0
14	3 16	1.0
15	3 28	1.0
5	8 22	1.0
13	8 5	1.0
1	14 30	0.0
17	6 13	0.0
9	6 14	1.0
17	14 28	0.0
4	11 4	0.0
8	6 30	0.0
19	14 10	1.0
8	2 22	1.0
17	1 12	0.0
3	13 2	1.0
5	17 14	1.0
13	18 5	0.0
9	12 2	1.0
9	2 22	0.0
15	15 26	1.0
14	11 30	0.0
6	18 13	1.0
3	2 18	0.0
15	13 12	1.0
8	9 30	0.0
3	12 13	0.0
16	17 12	0.0
13	9 17	0.0
13	8 21	0.0
8	16 22	1.0
19	18 7	0.0
13	11 14	0.0
11	8 2	0.0
17	5 10	0.0
18	4 7	1.0
14	10 25	0.0
11	19 13	1.0
4	13 27	1.0
11	15 19	0.0
10	1 16	0.0
1	3 20	0.0
8	19 16	0.0
8	18 6	1.0
17	12 25	0.0
17	9 14	1.0
10	15 27	0.0
12	2 7	0.0
11	19 23	0.0
12	19 23	0.0
7	8 5	1.0
13	16 25	1.0
15	4 1	0.0
6	5 6	1.0
8	12 16	0.0
5	3 29	0.0
10	16 21	0.0
3	15 16	1.0
1	8 20	0.0
19	19 27	0.0
7	12 3	1.0
18	14 13	0.0
16	6 2	0.0
14	7 10	0.0
15	8 22	1.0
13	10 28	0.0
20	7 2	0.0
16	17 21	0.0
6	18 24	1.0
1	9 29	1.0
17	1 29	0.0
6	15 9	0.0
13	3 27	0.0
14	19 15	0.0
9	11 21	0.0
9	20 17	0.0
16	11 17	0.0
9	13 4	0.0
9	6 5	1.0
4	6 29	0.0
13	8 6	0.0
6	9 28	1.0
14	3 11	1.0
1	13 10	0.0
9	19 11	0.0
18	14 24	0.0
14	8 21	0.0
9	7 13	0.0
12	8 5	0.0
12	19 18	1.0
10	20 22	0.0
13	17 26	1.0
18	7 8	0.0
4	13 22	1.0
19	2 15	0.0
11	17 7	1.0
4	4 9	0.0
18	9 14	0.0
4	5 25	1.0
10	4 26	0.0
11	5 28	1.0
10	11 14	0.0
2	9 14	1.0
10	19 9	1.0
13	7 12	1.0
19	16 29	0.0
9	17 19	1.0
15	15 28	0.0
11	6 20	1.0
11	17 7	0.0
6	13 19	0.0
15	16 19	0.0
5	19 18	0.0
19	20 9	0.0
16	3 20	0.0
16	7 26	0.0
5	4 10	1.0
5	13 5	1.0
15	20 26	0.0
11	3 8	1.0
6	4 27	1.0
17	13 15	0.0
5	8 29	0.0
2	9 21	1.0
4	17 22	1.0
13	4 15	1.0
3	7 13	1.0
5	11 18	0.0
20	7 17	0.0
20	5 25	1.0
7	8 8	1.0
10	8 20	0.0
19	9 28	1.0
5	10 6	0.0
12	2 5	0.0
3	16 3	1.0
1	13 28	1.0
11	9 1	1.0
2	16 20	1.0
20	20 3	0.0
20	3 16	1.0
3	18 21	0.0
3	17 8	1.0
19	12 6	0.0
4	1 8	0.0
16	6 22	1.0
5	16 23	1.0
18	19 18	0.0
14	19 27	0.0
2	19 18	0.0
13	2 2	1.0
16	8 14	1.0
14	14 20	1.0
10	3 12	0.0
12	12 13	0.0
4	3 29	0.0
5	13 30	0.0
9	12 15	1.0
13	8 22	1.0
17	13 6	0.0
2	9 30	1.0
12	9 22	1.0
15	2 17	0.0
15	19 13	1.0
2	13 29	1.0
20	5 3	1.0
16	6 5	1.0
17	9 7	0.0
5	20 14	1.0
10	18 29	1.0
20	7 14	0.0
16	10 22	1.0
10	4 11	0.0
9	2 27	1.0
5	14 16	0.0
20	7 2	0.0
16	15 25	1.0
5	18 20	0.0
7	4 28	0.0
17	18 21	0.0
10	11 26	0.0
10	15 15	0.0
17	5 9	1.0
19	9 22	0.0
19	17 25	1.0
16	1 15	0.0
9	13 12	1.0
17	5 14	1.0
11	3 12	0.0
8	17 18	0.0
6	14 11	0.0
3	4 19	1.0
8	18 29	1.0
18	6 22	0.0
5	14 8	1.0
18	10 29	0.0
17	8 19	0.0
18	3 9	1.0
12	1 28	0.0
17	16 6	0.0
15	3 15	1.0
19	11 27	0.0
3	4 20	0.0
15	5 10	1.0
7	2 27	1.0
17	3 15	0.0
18	8 12	0.0
6	13 24	0.0
7	14 11	1.0
1	6 6	0.0
2	3 4	1.0
20	10 10	1.0
4	14 28	1.0
11	17 24	1.0
12	6 18	1.0
9	13 17	0.0
7	4 14	1.0
3	11 23	1.0
5	5 23	1.0
20	6 8	0.0
6	12 1	1.0
18	12 23	1.0
9	11 6	0.0
5	9 1	1.0
18	4 14	0.0
7	9 12	0.0
13	15 9	1.0
2	10 6	0.0
17	15 7	1.0
16	3 28	0.0
15	1 2	1.0
18	5 13	1.0
6	13 22	0.0
15	10 22	1.0
15	12 14	0.0
6	6 15	0.0
10	14 30	0.0
18	12 22	0.0
12	20 24	1.0
5	7 28	0.0
16	12 17	1.0
18	17 24	1.0
13	9 24	0.0
3	15 29	0.0
11	5 17	0.0
14	1 14	1.0
17	20 11	0.0
5	4 9	1.0
16	6 24	0.0
18	3 3	1.0
6	2 4	1.0
6	6 17	0.0
7	13 24	1.0
20	9 21	0.0
13	3 4	0.0
12	7 20	0.0
16	15 24	1.0
2	15 12	1.0
8	1 13	0.0
10	3 10	1.0
7	3 19	1.0
2	6 30	1.0
3	5 7	1.0
12	6 8	0.0
12	17 15	0.0
16	4 18	0.0
13	7 23	0.0
9	12 1	1.0
1	12 28	1.0
4	16 10	1.0
7	19 22	0.0
15	9 1	0.0
1	11 1	0.0
9	4 5	1.0
7	1 9	1.0
10	12 14	0.0
10	12 9	0.0
15	6 21	0.0
14	8 27	1.0
2	13 8	1.0
19	14 11	1.0
5	2 21	0.0
19	8 23	0.0
10	6 6	0.0
18	15 4	1.0
7	18 28	0.0
15	13 21	0.0
16	20 27	0.0
10	8 18	0.0
9	18 3	0.0
13	6 26	0.0
16	18 19	0.0
12	1 27	1.0
9	11 19	0.0
10	16 23	0.0
5	16 4	0.0
20	17 17	1.0
11	14 15	0.0
14	16 29	0.0
16	3 2	1.0
9	17 7	1.0
9	20 3	1.0
9	17 10	1.0
9	3 29	0.0
19	3 12	0.0
3	11 27	1.0
12	11 10	1.0
11	12 18	0.0
6	15 22	0.0
6	9 6	0.0
1	5 3	0.0
8	11 7	1.0
9	11 10	1.0
13	16 11	0.0
9	10 19	0.0
7	8 13	0.0
11	4 9	0.0
18	2 22	1.0
7	19 27	0.0
20	7 7	1.0
3	15 21	0.0
9	6 2	0.0
7	8 23	0.0
2	2 13	0.0
12	20 27	1.0
9	11 21	1.0
3	10 23	0.0
8	19 30	0.0
8	19 10	1.0
11	10 25	1.0
10	7 12	0.0
7	13 12	0.0
10	15 13	0.0
11	11 23	0.0
20	3 30	0.0
11	20 6	0.0
10	14 13	0.0
4	4 20	1.0
1	2 17	1.0
16	3 15	1.0
1	5 14	1.0
1	5 21	0.0
12	19 7	1.0
15	3 23	0.0
19	6 11	1.0
10	19 30	0.0
9	9 9	1.0
10	19 9	1.0
15	5 11	1.0
8	11 29	1.0
6	1 21	1.0
2	20 9	1.0
10	18 20	0.0
8	6 21	0.0
16	15 1	0.0
10	8 18	0.0
20	17 20	0.0
4	8 4	1.0
19	10 27	0.0
11	14 28	1.0
6	6 23	1.0
20	13 1	1.0
19	12 17	0.0
12	11 6	1.0
20	17 7	1.0
8	13 2	0.0
2	4 18	1.0
10	10 3	0.0
3	13 3	1.0
3	6 30	1.0
4	14 30	0.0
3	1 30	0.0
5	14 28	1.0
8	18 28	0.0
16	18 7	1.0
14	8 3	0.0
8	10 16	1.0
10	1 15	1.0
14	8 18	1.0
2	15 29	1.0
10	6 13	1.0
9	6 28	1.0
9	5 10	0.0
6	4 7	0.0
7	4 24	0.0
7	4 18	0.0
3	1 12	1.0
5	19 16	0.0
14	6 26	0.0
20	10 5	0.0
16	8 14	1.0
14	16 4	0.0
2	11 30	1.0
18	19 6	1.0
2	4 26	0.0
2	7 19	1.0
14	1 23	0.0
5	8 25	1.0
2	1 2	1.0
11	3 5	0.0
3	9 4	1.0
18	5 25	0.0
8	6 30	0.0
11	4 8	0.0
16	9 1	1.0
16	16 3	0.0
5	19 20	0.0
19	5 27	0.0
13	7 20	1.0
18	5 27	0.0
2	2 4	1.0
16	5 7	0.0
14	20 30	0.0
3	1 3	0.0
2	8 26	0.0
9	16 1	1.0
18	19 18	0.0
7	1 10	1.0
6	15 1	0.0
5	15 17	1.0
4	18 22	1.0
6	10 26	1.0
16	16 9	1.0
16	16 5	0.0
12	6 20	0.0
7	12 23	0.0
9	15 11	0.0
6	9 24	0.0
12	10 11	0.0
3	5 8	0.0
1	13 19	1.0
8	11 28	0.0
3	17 8	1.0
17	6 16	1.0
7	6 13	1.0
18	10 23	1.0
13	11 30	1.0
20	4 26	0.0
2	20 18	0.0
18	17 27	0.0
15	1 23	0.0
9	13 7	0.0
1	11 13	0.0
14	18 14	1.0
4	4 16	1.0
1	7 24	1.0
15	20 8	0.0
19	4 10	1.0
18	6 13	0.0
2	5 30	0.0
16	9 20	0.0
18	2 7	0.0
4	3 28	0.0
13	5 18	1.0
9	19 14	0.0
10	8 26	0.0
2	19 9	1.0
6	8 22	1.0
7	6 19	1.0
9	13 9	1.0
4	1 19	0.0
1	3 29	0.0
13	16 5	0.0
10	13 24	1.0
3	2 15	1.0
6	10 5	1.0
19	20 12	0.0
18	4 22	1.0
11	15 28	0.0
15	17 21	1.0
12	16 18	0.0
20	3 22	1.0
8	15 1	1.0
11	7 7	0.0
15	20 14	0.0
16	17 30	1.0
18	6 13	0.0
18	20 17	1.0
5	15 2	1.0
10	20 13	1.0
6	20 19	0.0
11	13 11	1.0
11	3 3	1.0
5	8 24	0.0
16	6 2	0.0
16	3 15	0.0
16	19 20	1.0
3	11 6	0.0
11	2 3	1.0
7	10 13	1.0
9	3 16	1.0
1	3 2	0.0
4	11 18	0.0
11	1 27	1.0
20	13 18	0.0
4	15 28	1.0
11	1 2	1.0
9	11 27	1.0
2	7 18	1.0
2	14 10	0.0
5	4 12	1.0
1	18 21	1.0
4	6 8	0.0
10	4 5	0.0
12	6 29	1.0
4	3 17	1.0
4	12 30	1.0
8	10 9	0.0
11	8 9	1.0
12	10 1	1.0
20	5 1	1.0
7	13 6	1.0
18	17 4	1.0
19	4 26	1.0
12	16 3	1.0
6	16 4	0.0
2	14 26	1.0
20	4 13	0.0
11	10 23	0.0
2	11 30	0.0
3	14 28	1.0
2	18 26	1.0
6	12 13	0.0
19	12 9	0.0
10	11 24	0.0
17	19 4	1.0
17	15 11	0.0
20	11 1	0.0
10	9 19	1.0
14	15 5	0.0
13	3 28	1.0
20	16 3	1.0
17	15 27	0.0
1	5 8	1.0
11	15 24	1.0
1	7 13	0.0
4	11 24	0.0
6	17 23	0.0
7	2 22	0.0
7	14 4	1.0
19	16 2	0.0
4	17 2	0.0
18	7 14	0.0
3	8 27	0.0
11	2 6	0.0
11	3 29	0.0
12	16 26	0.0
18	18 23	1.0
8	4 22	0.0
1	8 21	1.0
4	14 25	0.0
9	18 19	1.0
17	1 6	0.0
16	12 28	0.0
13	19 28	0.0
4	11 22	1.0
4	14 4	1.0
4	2 14	1.0
8	20 13	0.0
10	6 15	0.0
14	11 1	0.0
2	3 5	0.0
3	7 8	1.0
15	20 25	0.0
13	4 6	0.0
10	12 24	1.0
3	13 4	0.0
17	6 8	0.0
13	1 12	1.0
4	5 3	1.0
13	4 8	0.0
1	20 11	1.0
3	18 23	0.0
12	13 17	0.0
18	1 9	0.0
19	17 25	1.0
18	11 22	1.0
1	17 13	0.0
5	20 20	1.0
9	18 30	0.0
13	8 28	1.0
11	6 1	0.0
16	7 12	0.0
14	6 29	0.0
4	16 5	0.0
16	4 11	1.0
9	3 27	0.0
8	7 2	1.0
18	10 16	1.0
10	11 17	0.0
20	1 26	0.0
2	12 4	1.0
7	14 26	1.0
6	16 28	0.0
6	4 19	0.0
1	3 13	1.0
11	5 5	0.0
13	1 18	0.0
14	5 2	0.0
20	7 17	0.0
16	6 3	0.0
10	8 11	0.0
20	3 12	0.0
12	6 17	0.0
6	16 3	1.0
1	16 7	1.0
12	7 5	1.0
7	19 15	0.0
16	2 23	1.0
12	19 30	0.0
6	17 27	0.0
12	3 9	1.0
10	5 11	1.0
2	4 17	0.0
8	11 19	1.0
1	1 4	1.0
14	19 10	0.0
8	3 22	1.0
18	8 12	1.0
16	14 11	1.0
6	13 7	1.0
18	4 21	0.0
7	16 5	1.0
19	2 14	0.0
18	8 3	1.0
17	5 4	1.0
10	11 19	1.0
6	18 16	0.0
15	2 5	0.0
6	19 24	1.0
5	5 23	0.0
8	2 27	1.0
7	6 3	0.0

%pyspark

# SystemInfo here is a combination of system ID followed by system age
Document = Row("id", "SystemInfo")
test = sc.parallelize([(1L, "20 25"),
              (2L, "4 15"),
              (3L, "16 9"),
              (4L, "9 22"),
              (5L, "17 10"),
              (6L, "7 22")]) \
    .map(lambda x: Document(*x)).toDF()

%pyspark

#Prepare a data set to run the trained model against. To do so, we would pass on a system ID and system age (denoted as SystemInfo in the training output), and the model would predict whether the building with that system ID and system age would be hotter (denoted by 1.0) or cooler (denoted by 0.0).


# Make predictions on test documents and print columns of interest
prediction = model.transform(test)
selected = prediction.select("SystemInfo", "prediction", "probability")
for row in selected.collect():
    print row

Row(SystemInfo=u'20 25', prediction=0.0, probability=DenseVector([0.5001, 0.4999]))
Row(SystemInfo=u'4 15', prediction=0.0, probability=DenseVector([0.5018, 0.4982]))
Row(SystemInfo=u'16 9', prediction=1.0, probability=DenseVector([0.4787, 0.5213]))
Row(SystemInfo=u'9 22', prediction=1.0, probability=DenseVector([0.455, 0.545]))
Row(SystemInfo=u'17 10', prediction=1.0, probability=DenseVector([0.4927, 0.5073]))
Row(SystemInfo=u'7 22', prediction=0.0, probability=DenseVector([0.5017, 0.4983]))

%pyspark

selected.registerTempTable("predictedEvents")

%sql

select * from predictedEvents

SystemInfo	prediction	probability
20 25	0.0	[0.5001380589015282,0.4998619410984719]
4 15	0.0	[0.5018468263478701,0.4981531736521298]
16 9	1.0	[0.4786709532413958,0.5213290467586043]
9 22	1.0	[0.45504802607218514,0.5449519739278149]
17 10	1.0	[0.49270080242078623,0.5072991975792137]
7 22	0.0	[0.5017017284633886,0.49829827153661155]

BuildingId	_c1
8	21
9	37
19	18
17	17
18	25
14	13
13	21
16	30
20	20
15	19
10	21
12	23
11	24
1	25
3	26
2	35
5	22
4	24
7	24
6	23

BuildingId	_c1
8	21
9	37
19	18
17	17
18	25
14	13
13	21
16	30
20	20
15	19
10	21
12	23
11	24
1	25
3	26
2	35
5	22
4	24
7	24
6	23

BuildingId	_c1
8	21
9	37
19	18
17	17
18	25
14	13
13	21
16	30
20	20
15	19
10	21
12	23
11	24
1	25
3	26
2	35
5	22
4	24
7	24
6	23