# data[].attributes.body
1. On 9/17 at  8:48 AM- 541.21 liters
2. on 9/17 at 12:25 PM- 2326.92 liters
3. change over time (5 hours)-  1785.71 liters
4. change in one hour- 465.4 liters
5. class average in on one hour- 141.28
(as of 12:35 PM on 9/17)

# data[].attributes.body
1. On 9/17 at 3:47 AM- 1104 liters of water used today.
2.On 9/17 at 11:47 AM- 2235.90 liters of water used today.
3. Change over 7 hour period- 1131.9 liters
4. Change in one hour- 161.7 liters
5. Class average in one hour as of 9/17 12:06 AM- 140.33 liters of water used per hour

# data[].attributes.body
1. On 9/16 at 10:30 PM- 359.17 liters of water used today.
2. On 9/17 at 10:10 AM- 2002.74 liters of water.
3. Change over time-  1643.57 liters
4.On 9/16 at 11:30 PM- 497.60 liters of water
5. class average- 142.87 (As of 9/17 at 10:20)

# data[].attributes.body
1. On 9/16 at  6:30 PM- 3184.64 liters of water used today
2. On 9/16 at 10:30 PM- 3736.82
3. Change over time period (4 hours)- 552.18 liters
4. Change in one hour-  138.04 liters
5. Class average- 152.5 liters (As of 9/17 at 2:48 AM)

# data[].attributes.body
1. On 9/16 at 11:48 PM- 540.05 liters
2. On 9/17 at 8:48 AM- 1809.06 liters
3. Change over time period (9 hours)= 1269.55 liters
4. Change in one hour- 141.061 liters
5. Class Average- 138.307 liters (As of 9/17 at 8: 55 AM)

# data[].attributes.body
1. On 9/16 at 6:33 PM- 3196.77 liters of water used today
2. On 9/16 at 11:28 PM- 3888.90 liters of water used today
3. Change over time period (about 5 hours)= 692.13 liters
4. Change in one hour- 153.51 liters
5. Class average- 139.03 liters (as of 9/16 at 11:40PM)

# data[].attributes.body
1. On 9/16 at 3:07 PM- 2710.22 liters of water used today
2. On 9/16 at 10:17 PM- 3724.72 liters of water used today
3. Change over time period (7 hours 10 Minutes)-  1014.5 liters
4. Change in one hour-  144.93 liters
5. Class average- 136.39 liters (As of 9/16 at 11:02 PM)

# data[].attributes.body
1. On 9/15 at 6:15 PM- 3153.31
2. On 9/15 at 10:15 PM- 3611.66
3. Change over time period- (4 hours) 458.35
4. Change in one hour- 114.59
5. Class average- 135.32 (as of 10:23 9/16)

# data[].attributes.headline
Octavya Dottore1. On 9/15 at 15:16-- 2731.44 liters of water used today2. On 9/15 at 22:22-- 3736.30 liters of water used today3. Change over time period (7 hours)= 1004.86 liters of water4. Change in ONE hour= 143.55 liters5. Class Average=

# data[].attributes.subject
Octavya Dottore1. On 9/15 at 15:16-- 2731.44 liters of water used today2. On 9/15 at 22:22-- 3736.30 liters of water used today3. Change over time period (7 hours)= 1004.86 liters of water4. Change in ONE hour= 143.55 liters5. Class Average=

# data[].attributes.body
137.878 liters (as of 22:33 on 9/15)

# data[].attributes.body
1. On 9/15 at 9:45 PM- 247.70
2. On 9/16 at 9:45 AM- 1961.70
3. Change over time period- (12 hours) 1,714 liters of water
4. Change in one hour- 142.8 liters of water
5. Class average- 138.97 (as of 10:04 9/16)

# data[].attributes.body
1. On 9/15 at 12:30 PM- 2331.67 liters of water used today
2. On 9/15 at 4:30 PM- 2842.48 liters of water
3.Change over time period (4 hours)- 510.81 liters of water
4. Change in one hour-- 127.70 liters of water
5. Class Average (as of 4:33 on 9/15) in usage by one hour- 138.16 liters

# data[].attributes.body
1. On 9/15 at 11:36 AM-2208.93 liters of water used today
2. On 9/15 at 3:41- 2789.05 liters of water used today
3. Change over time period(roughly 4 hrs)= 580.12 liters
4. Change in ONE hour= 145.03 liters
5. Class Average= 143.39 liters (as of 3:47 on 9/15)

# data[].attributes.body
1. On 9/14 at 2:43 PM:
2652.80 liters
2. On 9/15 at 12:40 PM:
2331.80 liters
3. Change of time period (about 4 hours):
570 liters
4. Change in 1 hour:
133 liters
5. Class average (9/15 at 9:47 PM)
140.4 liters

# data[].attributes.body
On 9/14 at 9:01pm- 143 liters of water used
On 9/15 at 8:13 am- 1733 liters of water used
Change over time period (11hr 13min)= 1590 liters
Change in ONE hour= 141.75 liters
Class average= 141.75 liters (As of 9/15 at 8:23am)

# data[].attributes.body
1. On 9/16 at 4:50-- 2948.76
2. On 9/16 at 8:50-- 3485.28
3. Change over time period = 536.52
4. Change in ONE hour (Initial - Final / 4) = 134.13
5. Class Average (ALL ONE hour stats / # of people)= 138.97 (as of 8:53, 9/16/17)

# 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=