# data[].attributes.body
1.  On 9/17 at 10:00 AM:
2,542,494
2. On 9/17 at 2:00 PM:
2,544,131
3. Change over time: +1,637
4. Change in one hour: +409.25
5. Class average:

# data[].attributes.body
1. On 9/17 at 9:30 AM: 2,542,292
2. On 9/17 at 1:30 PM: 2,543,956
3. Change over time: +1,664
4. Change in one hour: +411
5. Class average: +411 (as of 1:53 PM on 9/17)

# data[].attributes.body
1. 9/17 at 8:53 AM: 2,542,066
2. 9/17 at 12:53 PM: 2,543,699
3. Change over time: +1,633
4. Change in one hour: +408
5. Class average:

# data[].attributes.body
1. On 9/16 at 8:30 PM: 2,536,978
2. On 9/17 at 1:18 PM: 2,543,843
3. Change over time: +6865
4. Change in one hour: +404
5. Class average:

# data[].attributes.body
1. On 9/16 at 4:58 PM: 2,535,550
2.On 9/16 at 8:58 PM:  2,537,215
3. Change over time period: +1,665
4. Change in one hour: +416.25
Class average:

# data[].attributes.body
1. 9/15 at 1:11 PM: 2,524,201
2. 9/15 at 5:11 PM: 2,525,833
3. Change over time period +1,632
4. Change in one hour: +408
5.Class average:

# data[].attributes.body
1.  9/15 at 10:30 AM: 2,523,123
2. 9/15 at 2:30 PM: 2,524,766
3. Change over time period: + 1,643
4. Change in one hour: +414
5. Class average:

# data[].attributes.body
1. 11:46 AM on 9/15/2017: 2,523,636
2. 3:46 PM on 9/15/2017: 2,525,265
3. Change over time period: +1,629
4. Change in one hour: +407.25
5. Class average:

# data[].attributes.body
1. 10:50 AM on 9/15/2017: 2,523,245
2. 2:55 PM on 9/15/2017: 2,524,911
3. Change over time period: +1,666
4. Change in one hour: +416.5
5. Class average:

# data[].attributes.body
1. on 9/15/2017 at 9:00 AM
2,522,371
2. on 9/15/17 at 1:30 PM
2,524,305
3. Change over time period=
+1,934
4. Change in One Hour=
+429.7
5. Class Average:

# data[].attributes.body
1.on 9/15/17 at 9:30 AM
2,522,741
2. on 9/15/17 at 1:30
2,524,409
3. change over time period=
+1,668
4.change in one hour=
+417
5. class average=

# data[].attributes.body
1. On 9/14 at 1:12 PM- 2,514,425
2. On 9/14 at 9:55 PM-

# data[].attributes.body
1. On 9/14 at 4:00- 2,515,580
2. On 9:14 at 8:00- 2,517,200
3. Change over time period= +1,620
4. Change over one hour= +405
5. Class average=

# data[].attributes.body
1. On 9/14 at 1:13 PM- 2,514,426
2. On 9/14 at 5:13 PM- 2,516,185
Change over time period-

# data[].attributes.body
1. On 9/14 at 1:12 PM-
2,514,425
2. On 9/14 at 5:12 PM-

# data[].attributes.body
1. On 9/14 at 1:13 PM- 2,514,426
2. On 9/14 at 5:13 PM-

# data[].attributes.body
1. On 9/13 at 2:19 PM - 2,505,078
2. On 9/13 at 6:19 PM - 2,506,659
3. Change over time period = +1581
4. Change in one hour = +395.25
5. Class Average

# data[].attributes.body
1. On 9/16 at 5:30 PM-- (# here)
2. On 9/16 at 9:30 PM-- (# here)
3. Change over time period=
4. Change in ONE hour=
5. Class Average=

# data[].attributes.body
1. On 9/12 at 4:00 PM - 2,495,958
2. On 9/12 at 8:00 PM - 2,497,603
3. Change over time period = +1645
4. Change in one hour = +411.25
5. Class Average =