Description
Assignment Directions
Scenario
A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time-consuming and contribute to congestion. Some cities have rolled out data-driven parking space management in an effort to reduce congestion and make traffic more fluid.
You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether or not it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app motorists can access to find parking space availability in different parking lots throughout the city.
Part 1: Data Manipulation
Download the Parking Lot Use data set. The data set has the following columns:
LotCode: a unique code that identifies the parking lot
LotCapacity: a number with the respective parking lot capacity
LotOccupancy: a number with the current number of cars in the parking lot
TimeStamp: a day/time combination indicating the moment when occupancy was measured
Day: the day of the week corresponding to the TimeStampInsert a new column, OccupancyRate, recording occupancy rate as a percentage with 1 decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?
DATCB/565 Competency 3 Assessment and Rubric Page 2 of 3
Using the OccupancyRate and LotCode columns, construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates? Are some parking lots more frequented than others? Is this what you expected?
Select any 2 parking lots. For each of them, prepare a scatter plot showing occupancy rate against TimeStamp for the week 11/20/2016 – 11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience the highest occupancy rates? Is this what you expected?
Part 2: Presentation
Prepare a 12- to 16-slide presentation with detailed speaker notes and audio, graphs, and tables.
Your audience is the city council, which is responsible for deciding whether the city invests resources to set in motion the smart parking space app.Complete the following in your presentation:
Outline the rationale and goals of the project
Utilize box plots showing the occupancy rates for each day of the week. Include your interpretation of results.
Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of results
Provide scatter plots showing occupancy rate against the time of day of your selected 2 parking lots. Include your interpretation of results
Make a recommendation about continuing with the implementation of this project.Include speaker notes that convey the details you would give if you were presenting. You will record your speaker notes. Ensure that the slides contain only essential information and as little text as possible.
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LotCode
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12/8/2016 15:59
12/8/2016 16:32
12/9/2016 8:02
12/9/2016 8:29
12/9/2016 8:55
12/9/2016 9:29
12/9/2016 9:55
12/9/2016 10:29
12/9/2016 10:56
12/9/2016 11:29
12/9/2016 11:56
12/9/2016 12:29
12/9/2016 13:02
12/9/2016 13:29
12/9/2016 14:02
12/9/2016 14:29
12/9/2016 14:56
12/9/2016 15:29
12/9/2016 16:02
12/9/2016 16:29
12/10/2016 7:59
12/10/2016 8:29
12/10/2016 9:02
12/10/2016 9:29
12/10/2016 9:55
12/10/2016 10:29
12/10/2016 11:02
12/10/2016 11:29
12/10/2016 12:02
12/10/2016 12:29
12/10/2016 12:55
12/10/2016 13:29
12/10/2016 13:56
12/10/2016 14:25
12/10/2016 15:02
12/10/2016 15:25
12/10/2016 15:59
12/10/2016 16:25
12/11/2016 8:02
12/11/2016 8:25
12/11/2016 8:59
12/11/2016 9:26
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
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Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Sunday
Sunday
Sunday
Sunday
Lot01
Lot01
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Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
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Lot01
Lot01
Lot01
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
302
371
486
569
660
723
780
823
860
851
823
797
749
677
369
459
557
651
763
809
842
863
855
845
843
824
821
800
781
728
679
614
356
414
527
620
712
801
858
863
859
845
843
839
820
790
742
12/11/2016 9:59
12/11/2016 10:25
12/11/2016 10:59
12/11/2016 11:26
12/11/2016 11:59
12/11/2016 12:32
12/11/2016 13:05
12/11/2016 13:26
12/11/2016 13:59
12/11/2016 14:32
12/11/2016 14:59
12/11/2016 15:25
12/11/2016 15:59
12/11/2016 16:25
12/12/2016 8:02
12/12/2016 8:29
12/12/2016 9:02
12/12/2016 9:29
12/12/2016 10:02
12/12/2016 10:29
12/12/2016 11:02
12/12/2016 11:29
12/12/2016 11:55
12/12/2016 12:29
12/12/2016 12:56
12/12/2016 13:29
12/12/2016 14:02
12/12/2016 14:29
12/12/2016 14:55
12/12/2016 15:29
12/12/2016 15:56
12/12/2016 16:29
12/13/2016 8:02
12/13/2016 8:29
12/13/2016 9:02
12/13/2016 9:29
12/13/2016 9:55
12/13/2016 10:29
12/13/2016 11:02
12/13/2016 11:29
12/13/2016 12:02
12/13/2016 12:29
12/13/2016 13:02
12/13/2016 13:55
12/13/2016 14:29
12/13/2016 14:56
12/13/2016 15:28
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
Lot01
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863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
691
621
381
479
540
643
762
822
841
834
849
854
839
836
815
767
741
685
631
381
465
585
689
770
835
854
852
857
857
857
856
847
839
813
774
723
675
375
473
577
679
762
791
809
826
831
833
12/13/2016 16:02
12/13/2016 16:29
12/14/2016 8:03
12/14/2016 8:43
12/14/2016 9:03
12/14/2016 9:29
12/14/2016 10:02
12/14/2016 10:30
12/14/2016 11:30
12/14/2016 12:02
12/14/2016 12:30
12/14/2016 13:03
12/14/2016 13:29
12/14/2016 14:03
12/14/2016 14:30
12/14/2016 14:56
12/14/2016 15:30
12/14/2016 15:56
12/14/2016 16:30
12/15/2016 7:57
12/15/2016 8:30
12/15/2016 9:03
12/15/2016 9:30
12/15/2016 9:57
12/15/2016 10:30
12/15/2016 11:03
12/15/2016 11:26
12/15/2016 12:00
12/15/2016 12:26
12/15/2016 13:00
12/15/2016 13:26
12/15/2016 14:00
12/15/2016 14:26
12/15/2016 15:00
12/15/2016 15:26
12/15/2016 16:03
12/15/2016 16:30
12/16/2016 7:59
12/16/2016 8:30
12/16/2016 9:03
12/16/2016 9:30
12/16/2016 10:03
12/16/2016 10:29
12/16/2016 11:03
12/16/2016 11:30
12/16/2016 11:56
12/16/2016 12:30
Tuesday
Tuesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Lot01
Lot01
Lot01
Lot01
Lot01
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863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
863
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
827
827
809
784
762
702
662
616
246
263
293
342
401
473
516
562
579
587
619
632
654
687
708
712
662
633
113
117
124
157
211
248
327
367
387
387
387
387
387
387
387
387
387
387
153
166
192
12/16/2016 12:56
12/16/2016 13:30
12/16/2016 13:56
12/16/2016 14:30
12/16/2016 14:56
12/16/2016 15:30
12/16/2016 16:03
12/16/2016 16:30
12/17/2016 7:59
12/17/2016 8:26
12/17/2016 9:00
12/17/2016 9:26
12/17/2016 9:59
12/17/2016 10:33
12/17/2016 11:00
12/17/2016 11:33
12/17/2016 12:00
12/17/2016 12:26
12/17/2016 13:00
12/17/2016 13:27
12/17/2016 14:00
12/17/2016 14:30
12/17/2016 15:03
12/17/2016 15:30
12/17/2016 15:57
12/17/2016 16:30
11/20/2016 8:01
11/20/2016 8:27
11/20/2016 9:01
11/20/2016 9:27
11/20/2016 10:01
11/20/2016 10:27
11/20/2016 11:01
11/20/2016 11:27
11/20/2016 12:01
11/20/2016 12:34
11/20/2016 13:07
11/20/2016 13:27
11/20/2016 14:01
11/20/2016 14:27
11/20/2016 15:01
11/20/2016 15:27
11/20/2016 16:01
11/20/2016 16:31
11/21/2016 8:04
11/21/2016 8:31
11/21/2016 9:04
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Monday
Monday
Monday
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
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Lot02
Lot02
Lot02
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Lot02
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
215
250
265
297
325
340
348
364
354
359
360
346
322
313
288
201
226
265
291
330
362
387
387
387
381
390
387
387
387
386
379
368
335
224
253
286
334
375
387
387
387
387
387
387
387
387
387
11/21/2016 9:31
11/21/2016 10:04
11/21/2016 10:31
11/21/2016 11:04
11/21/2016 11:30
11/21/2016 11:57
11/21/2016 12:31
11/21/2016 12:57
11/21/2016 13:31
11/21/2016 14:04
11/21/2016 14:31
11/21/2016 14:57
11/21/2016 15:31
11/21/2016 15:57
11/21/2016 16:31
11/22/2016 7:57
11/22/2016 8:31
11/22/2016 9:04
11/22/2016 9:31
11/22/2016 10:04
11/22/2016 10:31
11/22/2016 11:04
11/22/2016 11:31
11/22/2016 12:04
11/22/2016 12:31
11/22/2016 12:57
11/22/2016 13:31
11/22/2016 13:57
11/22/2016 14:31
11/22/2016 14:57
11/22/2016 15:31
11/22/2016 15:57
11/22/2016 16:30
11/23/2016 8:04
11/23/2016 8:30
11/23/2016 8:57
11/23/2016 9:31
11/23/2016 10:04
11/23/2016 10:31
11/23/2016 11:04
11/23/2016 11:31
11/23/2016 11:57
11/23/2016 12:31
11/23/2016 13:04
11/23/2016 13:31
11/23/2016 13:57
11/23/2016 14:30
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Tuesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Wednesday
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
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387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
380
357
339
153
166
199
239
273
296
334
353
380
387
387
387
387
387
387
369
357
339
155
155
205
244
299
343
379
387
387
387
387
387
387
387
387
368
352
342
122
147
189
244
298
359
387
11/23/2016 15:04
11/23/2016 15:31
11/23/2016 16:04
11/23/2016 16:30
11/24/2016 8:00
11/24/2016 8:27
11/24/2016 9:00
11/24/2016 9:34
11/24/2016 10:01
11/24/2016 10:27
11/24/2016 11:00
11/24/2016 11:27
11/24/2016 12:00
11/24/2016 12:30
11/24/2016 13:04
11/24/2016 13:30
11/24/2016 13:57
11/24/2016 14:30
11/24/2016 14:57
11/24/2016 15:31
11/24/2016 15:57
11/24/2016 16:31
11/25/2016 8:00
11/25/2016 8:00
11/25/2016 9:00
11/25/2016 9:27
11/25/2016 10:00
11/25/2016 10:27
11/25/2016 11:00
11/25/2016 11:27
11/25/2016 12:00
11/25/2016 12:34
11/25/2016 13:00
11/25/2016 13:27
11/25/2016 14:00
11/25/2016 14:34
11/25/2016 15:00
11/25/2016 15:27
11/25/2016 16:00
11/25/2016 16:27
11/26/2016 8:01
11/26/2016 8:28
11/26/2016 9:01
11/26/2016 9:35
11/26/2016 10:01
11/26/2016 10:35
11/26/2016 11:01
Wednesday
Wednesday
Wednesday
Wednesday
Thursday
Thursday
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Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
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Friday
Friday
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Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Friday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Saturday
Lot02
Lot02
Lot02
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Lot02
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387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
145
146
150
174
207
266
345
387
387
387
387
387
387
387
387
387
387
387
146
166
193
223
270
321
359
377
384
387
387
387
387
384
378
368
360
352
11/26/2016 11:28
11/26/2016 12:01
11/26/2016 12:28
11/26/2016 13:01
11/26/2016 13:28
11/26/2016 14:01
11/26/2016 14:41
11/26/2016 15:01
11/26/2016 15:28
11/26/2016 16:01
11/26/2016 16:28
11/27/2016 8:02
11/27/2016 8:32
11/27/2016 9:02
11/27/2016 9:32
11/27/2016 10:01
11/27/2016 10:32
11/27/2016 11:01
11/27/2016 11:31
11/27/2016 12:01
11/27/2016 12:32
11/27/2016 13:08
11/27/2016 13:32
11/27/2016 14:02
11/27/2016 14:31
11/27/2016 15:01
11/27/2016 15:32
11/27/2016 16:01
11/27/2016 16:32
11/28/2016 8:01
11/28/2016 8:32
11/28/2016 9:02
11/28/2016 9:28
11/28/2016 10:01
11/28/2016 10:32
11/28/2016 11:01
11/28/2016 11:32
11/28/2016 12:01
11/28/2016 12:28
11/28/2016 13:02
11/28/2016 13:31
11/28/2016 14:02
11/28/2016 14:32
11/28/2016 15:02
11/28/2016 15:41
11/28/2016 16:02
11/28/2016 16:28
Saturday
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Saturday
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Saturday
Saturday
Saturday
Saturday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Sunday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Monday
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
Lot02
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Lot02
Lot02
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Lot02
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Lot02
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387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
387
221
251
279
316
294
336
383
387
387
387
387
383
387
387
387
378
371
337
205
221
266
303
350
382
378
387
387
387
387
387
387
387
387
378
367
353
207
219
266
302
345
369
387
387
387
387
387
11/29/2016 7:55
11/29/2016 8:28
11/29/2016 9:02
11/29/2016 9:28
11/29/2016 10:01
11/29/2016 10:28
11/29/2016 11:01
11/29/2016 11:28
11/29/2016 11:55
11/29/2016 12:28
11/29/2016 13:02
11/29/2016 13:28
11/29/2016 14:01
11/29/2016 14:28
11/29/2016 14:55
11/29/2016 15:28
11/29/2016 16:02
11/29/2016 16:28
11/30/2016 8:02
11/30/2016 8:28
11/30/2016 9:01
11/30/2016 9:28
11/30/2016 10:01
11/30/2016 10:28
11/30/2016 10:55
11/30/2016 11:28
11/30/2016 12:01
11/30/2016 12:28
11/30/2016 13:01
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12/1/2016 8:05
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12/1/2016 11:32
12/1/2016 11:58
12/1/2016 12:25
12/1/2016 12:58
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387
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364
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137
161
192
219
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270
317
346
374
387
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382
365
349
132
149
173
207
249
291
332
359
387
387
387
387
383
376
352
349
316
302
195
207
216
254
12/1/2016 13:25
12/1/2016 13:58
12/1/2016 14:25
12/1/2016 14:58
12/1/2016 15:25
12/1/2016 15:58
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12/6/2016 7:56
12/6/2016 8:29
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12/6/2016 9:29
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296
324
378
387
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382
365
347
334
327
214
226
264
298
354
383
387
387
387
387
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387
387
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384
373
364
166
179
198
234
267
329
373
387
387
387
387
387
387
387
387
12/6/2016 10:02
12/6/2016 10:29
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12/6/2016 11:29
12/6/2016 11:56
12/6/2016 12:29
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12/8/2016 13:59
12/8/2016 14:26
12/8/2016 14:59
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376
369
159
180
215
254
293
333
358
387
387
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387
387
387
387
387
386
375
365
154
170
221
252
304
345
387
387
387
387
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387
387
387
387
387
387
387
124
123
134
151
208
267
371
387
12/8/2016 15:26
12/8/2016 15:59
12/8/2016 16:32
12/9/2016 8:02
12/9/2016 8:29
12/9/2016 8:55
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151
180
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231
287
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358
387
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373
350
192
209
245
273
316
344
374
387
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384
358
347
329
319
208
243
12/11/2016 11:59
12/11/2016 12:32
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12/11/2016 13:26
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12/14/2016 8:03
12/14/2016 8:43
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