# data[].attributes.body
1. 9/17 at 11:38 am- 7,113,845
2. 9/17 at 3:40 pm- 7,118,303
3. change overtime- 4,458
4. change per hour- 1,114.5
5. class average-

# data[].attributes.body
1. 9/16/17 at 3:50 pm, 7,091,142 tons
2. 9/17/17 at 3:10 pm, 7,117,777 tons
3. Change over time- 26,635 tons
4. Change per hour- 1,131 tons
5. Class average- about 1,139 tons

# data[].attributes.body
1. 9/16 at 2:52 pm-7,090,081
2. 9/16 at 10:39 pm-7,098,956
3. change overtime-8,875
4. change in one hour- 1,188
5. class average- about 1153.1

# data[].attributes.body
1. 9/17 at 9:28 am: 7,111,264
2. 9/17 at 1:28 pm: 7,115,830
3. change overtime: 4,566
4. change in one hour: 1141.5
5. class average: 1,147.75

# data[].attributes.body
1. 9/16 at 11:36pm: 7,099,101
2: 9/17 at 8:48am: 7,110,498
3. change overtime: 11,397
4. change in one hour: about 1,139
5. class average: about 1,154

# data[].attributes.body
1. 9/16 at 6:30 pm-:7,094,185
2. 9/16 at 10:30 pm-:7,098,848
3. change over time: 4,663
4: change in one hour: 1, 165.75
5. class average:

# data[].attributes.body
1. 9/15 at 11:30 pm- 7,073,525
2. 9/16 at 10:09 pm-7,098,284
3. change over time period=24,759
4. change in one hour= 1,076
5. class average= 1,153

# data[].attributes.body
1. On 9/16 at 2:34 pm - 7,089,678
2. On 9/16 at 6:34 pm - 7,094,059
3. Change over time period=4,381
4. Change in one hour=1,095
5. Class average=

# data[].attributes.body
1. 12:30=7,087,291
2. 4;30=7,092,159
3. change over time 4,868
4.change per hour 1,217
5. class average

# data[].attributes.body
1. On 9/16 at 11:20 AM = 7,086,014
2. On 9/16 at 3:20 PM = 7,090,505
3. Change over time period = 4,491
4. Change in one hour = About 1123
Class Average= About 1157

# data[].attributes.body
1. On 9/16 at 11:25 AM= 7,086,101
2. On 9/16 at 3:25 PM= 7,090,653
3. Change over time period= 4,552
4. Change per hour= 1,138
5. class average=

# data[].attributes.body
1. On 9/16 at 10:09 am: 7,084,648
2.
3.
4.
5.

# data[].attributes.body
class average: 1,195

# data[].attributes.body
1. On 9/15 at 11:34 pm:7,058,872
2. On 9/16 at 2:52 am: 7,076,340
3. Change over time period: 17,468
4. Change per hour: 1,165
Class average:

# data[].attributes.body
1. On 9/15 at 2:25 PM- 7,062,135
2. On 9/16 at12:20 AM- 7,073,452
3. Change over time period=11, 317
4. Change in one hour= about 1,131
5. Class average=

# data[].attributes.body
1. On 9/15 at 1:25 pm-
7,060,983
2.On 9/15 at 10:42 pm
7,071,596
3. Change per hour= 10,613
4. Change per hour= about 1,179
5. Class average=
about 1,144

# data[].attributes.body
On 9/15 at 2:11pm: 7,061,860
On 9/15 at 3:32pm: 7,063,389
Change over time period: 1,529
Change per hour: 1,132

# data[].attributes.body
1. On 9/15 at 3:17 PM- 7,063,118
2. On 9/15 at 10:17 PM- 7,071,102
3. Change over time- 7,984
4. Change per hour- 1,141

# data[].attributes.body
1. On 9/15 at 10:30 AM - 7,057,650
2. On 9/15 at 2:40 PM - 7,062,414
3. Change over time period = 4, 764
4. Change per hour = 1,161
5. Class Average =  1,144

# data[].attributes.body
1. On 9/15 at 2:25 PM- 7,062,135
2.

# data[].attributes.body
1. On 9/15 at 2:24 PM - 7,062,120
2. On 9/15 at 5:45 PM - 7,065,925
3. Change over time period = 3,805
4. Change per hour = 1,153
5. Class average

# data[].attributes.body
1. On 9/15 at 11:24 AM - 7,058,693
2. On 9/15 at 2:24 PM - 7,063,281
3. Change over time period = 4,588
4. Change per hour =1,147
5. Class Average =1,260

# data[].attributes.body
1,496,151,000 at 10:13
1,496,402,000 at 11:15
Tons of waste dumped
i saw +251 tons
per hour about +250 tons

# data[].attributes.body
1. On 9/15 at 9:00PM - 7,042,327
2. On 9/16 at 9:07AM - 7,056,058
3. Change over time period = 13,731
4. Change per hour = 1,144
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=