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DATCB/565 Competency 3 Assessment Rubric
Course title: Data Analysis and Business Analytics
Assessment title: Competency 3 Assessment
Points: 100
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:
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•
•
•
•
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 TimeStamp
Insert 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:
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•
•
•
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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.
Copyright 2021 by University of Phoenix. All rights reserved.
DATCB/565 Competency 3 Assessment and Rubric
Page 3 of 3
Competency Assessment Rubric
Assignment/Performance
Criteria
1. Rationale and goals
(weight 20%)
2. Box plots: occupancy
rate/day of week
(weight 20%)
3. Box plots: parking lot
occupancy rates
(weight 20%)
4. Scatter plots with
interpretation
(weight 20%)
5. Recommendation
(weight 20%)
Mastery
100%
Meets Expectations
85%
Not Met
0%
Thoroughly outlined the rationale
and goals of the project
Partially outlined the rationale and
goals of the project
Narrowly outlined the rationale and goals of
the project or did not submit a rationale and
goals of the project
Accurately utilized and interpreted
box plots showing the occupancy
rates for each day of the week
For the most part, accurately used
and interpreted box plots showing
the occupancy rates for each day
of the week
Utilized box plots showing the occupancy
rates for each day of the week but with errors
that can impact analysis or did not submit
box plots showing the occupancy rates for
each day of the week; narrowly or did not
interpret box plots
Accurately utilized and interpreted
box plots showing the occupancy
rates for each lot
For the most part, accurately
utilized and interpreted box plots
showing the occupancy rates for
each lot
Utilized box plots showing the occupancy
rates for each lot but with errors that can
impact analysis or did not submit box plots
showing the occupancy rates for each lot;
narrowly or did not interpret box plots
Thoroughly interpreted scatter plots
showing occupancy rate against
time of day of selected four parking
lots
Partially interpreted scatter plots
showing occupancy rate against
time of day of selected four
parking lots
Narrowly interpreted scatter plots showing
occupancy rate against time of day of
selected four parking lots did not submit an
interpretation of scatter plots showing
occupancy rate against time of day of
selected four parking lots
Made a thorough recommendation
about continuing with the
implementation of this project
Made a partial recommendation
about continuing with the
implementation of this project
Made a narrow recommendation about
continuing with the implementation of this
project or did not submit a recommendation
about continuing with the implementation of
this project
Copyright 2021 by University of Phoenix. All rights reserved.
LotCode
Lot01
Lot01
Lot01
Lot01
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LotCapacity
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LotOccupancy
174
179
189
197
226
247
331
400
469
510
594
618
637
655
634
597
533
476
363
453
569
681
787
857
862
857
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848
852
836
823
804
769
713
669
593
321
417
526
616
746
809
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835
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TimeStamp
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
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11/21/2016 8:04
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11/22/2016 10:04
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11/22/2016 12:04
11/22/2016 12:31
Day
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836
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800
782
733
681
606
335
423
533
646
758
816
836
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820
801
775
748
693
644
347
435
547
682
748
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833
845
847
839
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836
829
792
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736
711
644
337
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529
11/22/2016 12:57
11/22/2016 13:31
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11/24/2016 8:00
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614
709
757
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796
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772
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738
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570
226
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388
454
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715
742
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739
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253
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11/25/2016 9:27
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11/25/2016 12:34
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11/26/2016 8:01
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11/30/2016 11:28
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12/8/2016 11:59
12/8/2016 12:25
12/8/2016 12:59
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
Wednesday
Wednesday
Wednesday
Wednesday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Thursday
Lot01
Lot01
Lot01
Lot01
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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
861
859
852
819
774
725
676
402
471
566
667
735
787
807
839
844
859
849
830
815
809
771
726
626
570
257
269
303
338
400
468
521
562
605
618
651
677
684
693
685
667
614
582
260
261
264
271
12/8/2016 13:25
12/8/2016 13:59
12/8/2016 14:26
12/8/2016 14:59
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
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
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Thursday
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Saturday
Saturday
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Saturday
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Saturday
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Saturday
Saturday
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Saturday
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Sunday
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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
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
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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
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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
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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
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Thursday
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Thursday
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Thursday
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Friday
Friday
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Friday
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
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Sunday
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Monday
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
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
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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
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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
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Tuesday
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Tuesday
Tuesday
Tuesday
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Wednesday
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Wednesday
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
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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
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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
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
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Lot02
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387
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221
251
279
316
294
336
383
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378
371
337
205
221
266
303
350
382
378
387
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387
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387
387
378
367
353
207
219
266
302
345
369
387
387
387
387
387
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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
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270
317
346
374
387
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382
365
349
132
149
173
207
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291
332
359
387
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376
352
349
316
302
195
207
216
254
12/1/2016 13:25
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