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Module 8 SkillBuilder: Referral Campaign

Start Assignment

Due

Friday by 10:59pm

Points

0

Submitting

a file upload

File Types

xls and xlsx

Attempts

0

Allowed Attempts

1

Available

until Jul 11 at 10:59pm

This SkillBuilder is a little different from the others ones you’ve done so far, as you’ll be working on it during your LiveLab! You’ll complete this SkillBuilder with the help of your LiveLab Instructor, your Squad Leader, and your peers. And you’ll receive extra credit for uploading your completed file!

Your Task

In this SkillBuilder, you’ll be working with a dataset from an e-commerce business. The dataset includes information about a referral campaign the company ran during April 18. You’ll be using your XLOOKUP skills to join, summarize, and interpret the data about the performance of this referral campaign.

SkillBuilder Downloads

Click

here to download the Excel workbook

(Links to an external site.)

, and put your answers into the gray and yellow cells. Pink cells will turn green if you’ve gotten the right answer!

You should also

download a copy of the instructions document here

(Links to an external site.)

. Instructions documents often give more detail or additional tips for approaching SkillBuilder tasks, so they’re worth looking at alongside the Excel workbook.

Deliverable

An Excel file containing your answers.

Submit

Upload the Excel file here in TechBootcampHQ.

Important Notes

Solutions without formulas will receive no credit.

(This won’t be applicable to every question. For instance, questions answered by sorting don’t have formulas.)

You will be able to immediately download the answer key following submission. Look for it by scrolling down to the bottom of the course. Because you will be provided with the answers,

resubmissions are generally not accepted or graded.

If you’re using Excel Online, there may be a delay in your Excel file being uploaded into your Office 365 account. Give it a few minutes and you should see your file.

Don’t hesitate to reach out for support if you have any questions!

Referral Campaign Analysis
SkillBuilder
This SkillBuilder uses data describing orders from an e-commerce business based in Europe, for
the month of April 2018. During this month, the company ran a professional campaign where
existing users could provide a referral code to new users. When the new user makes their first
purchase using a referral code, the original user receives €10 in credit for a future order.
The data is provided in two tables, each on their own page of the workbook. The Orders table
contains information about randomly sampled orders made during the recording period. The
Users table contains information about the users that made purchases during the recording
period.
Part 1 – Combining the Data
In order to analyze the data, we should join information about the Users and Countries into the
Orders table. You will fill in three new columns in the Orders table:
1. In the country_code column (Orders column E), fill in the country code for the user that
made each purchase.
â—‹
Be sure to check out the Data Dictionary tab if you have any uncertainty about
what data is contained in each column of each table!
2. In the country column, fill in the full country name that matches each country code.
â—‹
An additional table, Countries, is provided to help with this task.
3. In the is_referral column, fill in whether or not the user came in from a referral.
Part 2 – Summarize the Data
Now that we have our data prepared in a single table, let’s summarize what it can tell us about
the promotional campaign.
4. First, create a PivotTable from the combined Orders table that shows the average money
spent per order by country and referral status.
5. Check your work:
â—‹
What is the average spent per order among all non-referral users?
â—‹
What is the average spent per order among all referral users?
6. In how many countries do non-referral users spend more per order than referral users?
7. Create a second PivotTable from the Orders table that shows the total number of orders
and total revenue made by orders from non-referral and referral users.
8. Check your work:
â—‹
How much revenue was made from non-referral user orders?
â—‹
How much revenue was made from referral user orders?
9. Finally, create a third PivotTable from the Users table that shows how many non-referral
and referral users there are.
10. How much did the company pay out for new referral users?
â—‹
Check the scenario at the top of the instructions if you think you’re missing
information to answer this question. Sometimes you need to bring in knowledge
from outside the data itself!
11. Calculate:
â—‹
What is the average number of purchases made by non-referral users during the
promotional period?
â—‹
What is the average number of purchases made by referral users during the
promotional period?
â—‹
Hint: You’ll need to use the second and third PivotTables (the ones you created in
questions 7 and 9) to answer this question.
Part 3 – Interpret the Data
Put yourself in the shoes of a data analyst who has been assigned the analysis of the referral
program. What would you report to a superior on your own team, or to a business stakeholder
who had the idea for the program in the first place? It can be tricky to pull everything you’ve
explored together into a focused message, but it’s a vital skill to have as an analyst. And the
best way to develop that skill is to practice it!
12. How would you characterize the success of the referral program? Should the company
continue to implement the program going forward?
13. Think about your analysis and conclusions. Is there any additional information or
analyses that would help you make a more informed judgment?
SkillBuilder Workbook Tips
Make sure to refer to the separate instructions document for additional context and hints for the questions in
the workbook.
All of your answers should be typed or pasted into the gray or yellow boxes.
Questions with gray answer boxes expect a specific answer. When the correct answer is input, the question
number box highlighting will change from pink to green.
Questions with yellow answer boxes are free response questions. There will be no change in the question
number boxes (in blue), regardless of answer.
SkillBuilder Questions
This SkillBuilder uses data describing orders from an e-commerce business based in Europe, for the month of
April 2018. During this month, the company ran a promotional campaign where existing users could provide a
referral code to new users. When the new user makes their first purchase using the referral code, the original
user receives €10 in credit.
The data is split across two tables. Orders contains information about sampled orders from the recording period.
Users contains information about the users that made purchases during the recording period.
An additional Countries table with country information is provided on the Data Dictionary sheet.
In order to analyze the data, we should join information about the Users and Countries into the Orders table.
In the country_code column, fill in the country code for the user that made each purchase.
1
In the country column, fill in the full country name that matches each country code.
2
In the is_referral column, fill in whether or not the user came in from a referral.
3
4
5a
5b
6
7
8a
8b
9
10
11a
To the right, create a PivotTable from the combined Orders table that shows the average money
spent per order by country and referral status.
What is the average spent per order among all non-referral users?
What is the average spent per order among all referral-using users?
In how many countries do non-referral users spend more per order than referral
users?
To the right, create a PivotTable from the Orders table that shows the total number of orders and
total revenue made by orders from non-referral and referral users.
How much revenue was made from non-referral user orders?
How much revenue was made from referral user orders?
To the right, create a second PivotTable from the Users table that shows how many non-referral and
referral users there are.
How much did the company pay out for new referral users?
What is the average number of purchases made by non-referral users during the
promotional period?
11b
What is the average number of purchases made by referral users during the
promotional period?
12
How would you characterize the success of the referral program? Should the company continue to
implement the program going forward?
13
Think about your analysis and conclusions. Is there any additional information or analyses that would
help you make a more informed judgment?
and hints for the questions in
yellow boxes.
answer is input, the question
en.
e no change in the question
d in Europe, for the month of
existing users could provide a
the referral code, the original
Insert a PivotTable below here for Question 4!
ders from the recording period.
the recording period.
e Data Dictionary sheet.
ountries into the Orders table.
made each purchase.
ountry code.
referral.
shows the average money
total number of orders and
ws how many non-referral and
Insert a PivotTable below here for Question 7!
ld the company continue to
mation or analyses that would
Insert a PivotTable below here for Question 9!
order_id
user_id
date
money_spent
country_code
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75
34
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19
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1324
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4825
6717
14830
11813
12685
15471
13447
3705
3/31/2018
3/31/2018
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3/31/2018
35
17
49
42
46
23
20
55
38
29
24
88
37
48
39
21
67
96
63
34
21
67
23
65
41
77
44
51
57
47
41
49
53
26
11
51
31
21
53
12
21
60
43
2133944
2133945
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2133951
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2133991
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2134008
2134010
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2134018
2134020
2134021
9732
3654
8555
8819
8858
18319
2647
13372
4350
8311
7781
12143
14983
18734
8306
13511
349
10274
17409
3881
14128
11983
3994
1098
11743
19051
10303
7551
4791
5183
12066
18292
12518
15445
12336
4150
12969
1798
14702
5483
16799
1378
5909
3/31/2018
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4/1/2018
26
39
45
53
28
11
48
26
55
36
52
41
17
44
19
39
12
25
73
19
106
115
33
31
47
74
59
18
61
65
29
36
32
29
12
24
24
67
31
56
18
51
78
2134022
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16907
18536
1252
14215
19618
4538
8435
9061
16863
10357
17478
7799
7488
7530
10852
2277
1601
125
8625
435
13035
18295
17108
14329
10784
843
6647
14598
6515
2669
14037
15566
17149
7813
11966
19085
6685
16542
6249
6079
18777
4239
19800
4/1/2018
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4/1/2018
68
26
28
44
28
18
21
47
32
35
92
33
71
20
47
65
25
16
51
42
38
62
71
41
50
44
50
37
47
27
44
48
48
68
28
21
42
64
50
32
29
41
34
2134100
2134101
2134102
2134108
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2134110
2134111
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2134118
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7156
15690
11181
15731
8995
1819
4254
18940
7892
5595
3234
19034
12414
3613
15493
13119
4251
14325
8685
17248
18494
14965
12572
466
19921
4726
6284
2718
2294
3900
13520
5658
824
9028
7483
2487
11634
14993
1062
11111
15202
4976
16630
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
46
55
33
45
40
66
57
83
17
79
43
41
47
50
12
59
59
39
32
86
16
50
74
23
29
54
51
60
47
51
49
46
15
26
10
61
129
56
27
49
50
64
49
2134173
2134176
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2134183
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2134210
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2134230
2134231
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2134243
2134245
2913
8821
19418
1998
12060
14927
17510
259
18916
9972
19053
12834
11911
7136
13216
17269
1516
9877
17660
13735
11818
986
18492
19013
12987
19170
4041
15113
301
167
19946
17920
4250
673
14001
14457
5774
10423
9940
18340
15190
6260
12302
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
67
38
38
59
56
42
35
63
42
77
25
36
21
50
46
37
32
81
27
19
53
34
65
10
44
22
40
65
84
18
81
62
32
48
50
16
61
70
79
24
68
45
30
2134246
2134249
2134250
2134251
2134252
2134253
2134257
2134258
2134260
2134261
2134265
2134267
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2134300
2134304
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2134310
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2134317
2134320
2134321
2134323
2134326
2134327
2134332
2134338
8538
18989
10055
7761
8860
17866
3444
4281
7466
17892
2310
10434
2429
7475
13329
19587
5827
7526
19271
18443
15037
8257
478
18423
14778
4518
18262
5558
11467
6689
12923
15091
9066
12908
9076
15320
166
17231
15657
14275
11870
10548
16643
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
76
33
19
47
38
36
68
43
113
61
60
42
32
38
77
37
77
96
12
38
70
25
42
75
44
31
40
25
56
70
30
10
34
29
68
46
43
111
69
38
24
26
65
2134339
2134342
2134347
2134349
2134350
2134352
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2134355
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2134360
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2134401
2134403
2134407
2134409
2134412
2134414
2134415
2134422
2134425
11752
817
18862
10406
9414
1478
6321
7301
2299
4266
174
10834
9436
2925
12637
11586
11230
18640
19114
18782
5188
12924
14302
14048
14162
9490
14035
3845
6818
2473
15341
11014
15687
3558
14921
18674
13324
12065
17891
17346
8726
8975
5131
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
31
12
43
78
49
74
25
59
33
78
12
30
14
68
59
41
43
55
35
44
49
47
25
33
26
64
22
37
75
70
41
43
74
57
68
57
62
38
27
12
59
31
26
2134426
2134427
2134428
2134429
2134431
2134432
2134433
2134436
2134437
2134440
2134442
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2134444
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2134457
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2134461
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2134494
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2134499
2134500
2134501
2134502
2134505
2134506
3675
11379
1711
18821
1493
11949
19971
5453
1715
18938
18447
15771
2067
13332
4128
10068
14280
16123
4739
40
1527
15364
6157
11356
11056
4099
12261
17005
3047
12785
19324
5794
5900
5899
2606
12222
10263
5045
13889
6636
18770
19711
16440
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
31
22
59
52
30
71
24
47
69
38
41
44
54
26
34
40
43
49
35
85
23
63
33
32
67
42
45
66
44
36
37
27
29
41
10
40
44
17
127
41
51
53
30
2134508
2134509
2134515
2134516
2134517
2134520
2134522
2134524
2134530
2134534
2134536
2134537
2134538
2134541
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2134548
2134554
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2134578
2134579
2134581
2134583
2134585
2134586
2134587
2134589
2134591
2134593
2134595
2134600
11402
1407
11000
15311
17777
9026
10494
13285
9924
18214
15484
10506
19476
12262
14798
4856
12321
4443
4844
7596
15046
16239
3058
13966
19519
18720
14794
10402
367
4597
7962
2111
10112
9342
17092
4053
14557
13453
10121
3621
11815
10787
12496
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
74
30
81
41
38
28
47
95
36
53
20
66
52
71
36
28
56
103
26
34
74
15
71
29
18
63
27
62
35
25
19
77
16
27
47
53
32
55
37
60
84
85
20
2134601
2134602
2134604
2134606
2134608
2134610
2134611
2134613
2134614
2134616
2134617
2134619
2134622
2134623
2134626
2134627
2134629
2134630
2134631
2134634
2134636
2134637
2134641
2134645
2134649
2134652
2134653
2134656
2134657
2134658
2134663
2134665
2134669
2134672
2134676
2134679
2134680
2134684
2134685
2134686
2134692
2134694
2134695
7561
6147
415
8354
13924
10472
18204
10815
1182
9601
5191
2961
8873
1720
19320
9073
3848
13484
1791
12231
13610
17678
15720
19881
10069
9365
16725
3594
12910
14779
19262
17385
17816
12697
18562
4169
1426
7879
16737
10576
1720
19534
1394
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
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4/1/2018
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4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
4/1/2018
56
11
45
46
47
37
55
23
53
78
49
14
71
39
12
14
21
17
31
79
61
48
30
50
40
45
13
47
46
55
62
48
35
45
61
18
40
61
16
50
51
36
40
2134697
2134698
2134699
2134700
2134707
2134708
2134710
2134712
2134715
2134717
2134723
2134727
2134728
2134733
2134734
2134735
2134737
2134738
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2134743
2134744
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2134746
2134749
2134750
2134751
2134752
2134759
2134760
2134761
2134762
2134763
2134764
2134766
2134768
2134770
2134772
2134774
2134777
2134779
2134780
2134782
1895
3412
10504
19049
2608
8386
676
12197
8350
10960
603
11613
4928
17817
17434
8328
13190
15554
14311
983
1686
3797
3499
11329
16069
5005
14623
10078
7252
10762
2568
8307
1336
3160
1312
13010
6198
19985
19860
1104
18526
5268
11433
4/1/2018
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64
67
35
41
49
38
54
29
30
35
69
85
47
61
24
16
19
22
110
53
23
65
55
13
29
65
28
31
47
24
29
24
19
24
11
85
33
36
69
47
82
17
11
2134783
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2134802
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2134851
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174
234
9680
13701
6249
2233
1458
4097
11693
7176
13845
12089
13909
3974
12277
14248
11271
16960
5836
16640
5347
2484
4571
9657
4182
569
3278
15641
16060
6414
19009
13604
2796
3565
13176
15241
19978
14761
1531
2870
3252
975
19987
4/1/2018
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61
31
46
46
35
19
79
96
13
20
27
20
63
43
45
33
48
27
58
83
26
59
39
56
61
41
38
43
26
28
67
20
10
23
12
44
22
61
37
21
82
32
43
2134858
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2134860
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2134884
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3436
17242
13296
1235
19403
7214
8894
19428
1872
12285
2641
10489
9767
10142
172
14058
19641
2550
2846
2781
4714
13313
14572
9689
10991
18144
9448
18741
19397
19670
553
7382
16955
3854
12063
9825
7283
10130
6176
17535
18562
12819
13216
4/1/2018
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58
52
53
45
57
35
60
16
30
40
69
24
20
60
31
38
45
54
10
30
51
60
97
57
43
52
24
25
48
89
43
38
46
57
66
81
61
54
46
18
76
27
38
2134947
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2135010
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2135020
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6811
8883
1325
13876
5594
16152
12686
14466
3719
18002
5098
4592
3994
6915
8920
14689
8809
4550
2410
16903
14267
2721
4729
17411
14772
10121
15075
9479
9708
16703
17166
2442
7090
8569
10595
8243
16543
6004
13867
15447
2475
869
484
4/1/2018
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108
61
51
20
26
14
26
58
35
65
14
119
22
21
34
47
21
11
58
17
41
33
62
25
68
69
66
37
50
33
90
19
18
48
57
70
45
40
16
35
83
51
43
2135032
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2135100
2135103
10908
2082
11094
5587
16187
18838
8039
14378
17459
17634
13269
15054
18423
18501
4224
10334
4560
15613
11541
7408
17325
19391
3845
5294
12155
366
19120
11473
2053
17367
14298
495
2689
4601
15837
5200
19810
9739
10663
2237
5934
4229
1932
4/1/2018
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58
13
35
72
84
97
50
16
63
15
49
24
36
33
64
15
62
82
48
84
46
40
50
11
17
12
63
63
32
47
14
34
45
91
92
60
20
38
44
31
82
34
29
2135105
2135109
2135111
2135112
2135114
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2135119
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2135181
2135185
2135192
2135193
2135196
2135200
2135205
2400
6340
7661
3013
7112
16946
4263
2072
844
9884
14924
11038
7416
19433
763
19122
2678
6956
15181
4235
17949
14240
15039
5625
6432
2747
19330
604
13155
14346
7259
8438
3599
19044
424
10900
1556
10428
15941
7387
18342
2945
13188
4/1/2018
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4/1/2018
57
58
12
43
33
34
20
29
53
79
33
50
16
18
27
23
22
44
21
42
29
66
13
19
47
51
53
23
29
57
48
50
28
14
29
10
36
56
39
15
58
13
44
2135208
2135209
2135210
2135211
2135214
2135215
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2135219
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2135221
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2135225
2135226
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2135260
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2135268
2135270
2135273
2135277
2135278
2135280
2135282
2135284
341
18365
1888
402
8622
18831
13320
10026
18667
16437
9277
16417
1927
15425
19038
4236
487
13047
12843
19704
4528
10542
5984
8584
4625
18960
12106
4594
14357
6913
12228
8373
17072
714
9239
14085
1450
5214
4608
17379
14481
42
1699
4/1/2018
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4/1/2018
4/1/2018
68
74
49
42
77
60
31
66
79
72
98
63
61
37
12
76
23
68
54
80
72
22
18
38
23
72
50
52
45
23
19
19
56
24
51
51
14
17
49
62
19
48
56
2135285
2135286
2135287
2135288
2135295
2135296
2135297
2135298
2135299
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2135302
2135305
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2135310
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2135326
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2135334
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2135348
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2135350
2135353
2135356
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2135360
2135361
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2135364
2135367
2135370
17971
17505
11927
1078
17734
4565
10839
13708
18545
16711
8914
3784
3220
18706
16006
395
7378
16683
6950
11559
19317
11803
4595
16135
10316
13644
13372
14449
9718
15345
5926
9892
17103
7692
4383
18978
2966
14248
18578
12006
9401
18602
8560
4/1/2018
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4/1/2018
65
69
35
75
58
47
49
47
60
46
31
20
51
12
62
42
33
67
23
82
43
66
67
44
24
47
19
19
62
60
41
45
15
10
21
38
17
31
51
49
94
24
62
2135371
2135376
2135377
2135382
2135383
2135385
2135388
2135398
2135399
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2135403
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2135410
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2135442
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2135450
2135452
2135454
2135456
2135457
2135458
2135460
2135461
3384
9817
14893
15775
6943
8929
13507
12781
9839
8876
16304
8105
15428
14546
11991
8642
8325
13793
12306
6984
1025
5459
15859
10427
9242
18190
1321
15410
10131
11437
15071
19772
999
7243
17727
4818
2331
11217
1654
6226
1525
9349
10545
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
44
26
18
68
68
61
32
74
15
31
53
34
92
55
28
64
53
66
38
33
15
27
24
36
42
11
67
32
48
63
49
22
19
21
44
41
74
56
17
34
10
68
23
2135462
2135468
2135471
2135472
2135473
2135474
2135477
2135478
2135480
2135482
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2135502
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2135510
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2135518
2135521
2135522
2135523
2135525
2135526
2135527
2135528
2135530
2135532
2135534
4740
198
16524
316
17056
760
17030
18397
5066
12898
12508
15196
9342
4911
2718
6319
10553
2333
11397
2321
4303
11323
8189
618
842
193
18499
14140
11083
2452
10845
3194
974
6233
17106
10619
2361
2920
11109
19174
17771
5848
8501
4/1/2018
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4/1/2018
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4/1/2018
4/1/2018
35
58
58
95
32
59
99
90
30
36
79
42
19
47
52
40
30
62
45
82
67
35
79
66
46
44
55
107
46
60
33
69
51
85
27
58
20
55
47
66
65
12
81
2135535
2135536
2135542
2135547
2135548
2135549
2135552
2135553
2135554
2135555
2135562
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2135567
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2135603
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2135608
2135610
2135611
2135612
2135614
2135615
2135616
2135617
2135618
2135620
2135622
2135624
18465
9316
14088
19208
10700
2594
13887
16507
13766
12880
6582
18124
14483
18388
5813
12102
5233
13785
9767
8827
3770
2968
11332
7080
9009
16833
4841
5270
447
15424
5130
7722
17126
16841
9262
10033
10655
9652
1543
6571
12566
15607
10481
4/1/2018
4/1/2018
4/1/2018
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52
45
36
25
53
19
37
51
28
59
22
45
37
76
13
64
60
29
58
62
46
33
47
44
77
64
44
16
45
25
74
28
12
32
39
29
55
88
75
68
84
47
35
2135625
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19326
13318
15921
16469
14532
5429
8754
15391
19354
15188
15071
19228
15413
1611
14691
10972
5539
16161
3802
307
7618
775
8484
6429
4190
12214
5121
16466
16282
3262
19155
6896
617
14855
19675
4012
9010
7568
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7275
13102
4810
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41
36
21
29
35
30
25
53
62
10
14
63
64
77
53
43
36
28
50
61
60
34
112
47
94
84
74
59
37
36
29
38
56
42
61
64
50
67
25
61
40
29
29
2135697
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7782
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12100
5492
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3831
14351
18426
17276
116
17375
9343
7330
13710
11524
5368
6642
8245
18300
8820
9011
9722
17026
4113
5962
19518
2245
3923
7793
14719
17008
14019
6710
15641
6753
9027
2389
18254
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555
4256
3897
6132
4/1/2018
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41
59
30
64
30
57
34
12
33
43
24
44
51
36
73
86
69
58
14
48
39
47
23
82
39
21
29
45
48
35
40
68
45
12
65
65
42
16
49
63
27
54
61
2135774
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6249
6951
6246
19573
9303
12815
4350
13553
15511
7315
8052
13332
19075
12481
12911
1284
2744
4068
10784
4150
13846
14747
19436
10541
2887
3503
16712
8472
10109
3097
13073
13329
8444
9612
10323
18848
14233
14504
19579
957
11436
8714
14710
4/1/2018
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14
28
27
31
48
16
54
18
20
17
40
59
52
57
51
34
57
25
53
52
32
42
15
24
32
56
24
48
13
26
31
37
53
59
43
67
69
34
73
50
69
28
59
2135870
2135871
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8803
6105
15441
9833
12165
15639
19923
4878
16872
6013
17166
1719
3173
11425
4700
2450
5432
4383
19440
18748
8118
11479
11317
17561
1987
15356
14629
6037
13894
4846
6220
11436
19812
6901
4988
11822
9018
19731
818
3985
6614
12442
13912
4/1/2018
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40
47
76
25
60
20
73
39
69
43
65
21
21
47
62
64
35
39
27
28
129
11
39
53
65
65
21
102
56
32
18
69
51
53
29
95
61
36
52
43
52
32
80
2135974
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18728
18687
14385
2799
3008
15302
8088
6048
9732
15355
10016
9811
7005
14052
17587
18336
18383
18791
18167
11795
10961
19209
527
13078
15779
1759
4290
9041
5182
7797
14391
4872
3924
17335
13964
4963
895
11052
7149
16918
18765
12373
16908
4/1/2018
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33
38
31
74
14
13
60
20
14
55
17
89
11
50
45
53
17
39
38
31
39
55
36
24
57
35
85
45
34
41
50
44
86
58
56
91
38
34
43
44
17
27
61
2136048
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7888
19663
13231
15018
19268
8248
14321
14751
11059
19676
12624
9021
8697
15695
19986
17735
18185
1825
10258
3517
13494
8024
5711
18355
5791
12681
11476
9888
16515
15214
10961
3647
15694
11694
4043
8027
19829
12939
1744
15273
14605
7345
8016
4/1/2018
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4/1/2018
24
34
61
25
62
44
101
11
74
56
28
39
67
43
36
47
15
41
93
31
38
19
25
42
39
52
42
12
44
19
40
94
80
13
23
79
14
66
40
20
44
25
61
2136146
2136148
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2136210
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2136221
2136230
2136234
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2618
811
17912
5849
4613
10517
974
19050
10989
753
18758
6576
4406
16208
4159
15209
7489
4524
15857
7944
14484
5568
2801
14493
3980
15246
13416
1719
994
11185
1998
11575
13754
12727
5690
5183
16505
8390
9702
12613
6632
14812
3867
4/1/2018
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4/1/2018
35
47
11
42
69
51
42
66
62
20
52
10
67
44
26
49
64
12
33
71
64
40
21
22
46
45
41
51
31
21
43
41
43
65
30
28
34
60
50
16
44
17
91
2136236
2136242
2136245
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2136300
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2136304
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2136311
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2136314
4699
7428
14010
2975
17620
6343
12363
11262
2250
465
15025
6792
17619
15857
1428
19050
15806
4227
17758
3118
19765
19738
1163
10918
19796
6246
7115
3975
17117
8299
205
9512
1781
19419
11707
4726
4713
7479
2312
18313
8821
10692
18360
4/1/2018
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4/1/2018
4/1/2018
79
55
39
38
28
55
87
55
23
32
43
77
54
22
50
63
50
29
68
41
34
18
48
44
46
27
28
15
47
26
84
50
87
19
60
41
40
19
55
14
42
56
66
2136315
2136316
2136317
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2136319
2136320
2136321
2136322
2136325
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2136336
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2136346
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2136360
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2136380
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19477
9230
3927
17613
13606
5887
10042
11117
5431
8532
12328
9578
14422
17196
13618
8387
8878
11759
1821
11063
7039
16853
9706
17465
14494
13411
17037
9373
15144
10122
11152
5246
16613
7717
14808
13393
197
2371
11461
3729
18162
6489
8059
4/1/2018
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4/1/2018
47
20
63
45
63
43
50
39
38
23
65
53
60
43
30
19
68
46
28
44
25
79
40
72
44
49
67
50
13
37
113
46
28
76
27
30
55
37
55
29
29
18
44
2136394
2136400
2136403
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2136409
2136410
2136419
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2136482
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2136485
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19315
2022
12917
5581
16244
15654
8591
14578
5263
14804
12784
12548
16880
15941
8753
17854
623
6230
19210
19943
17886
969
12459
1532
6560
4836
1177
4301
4733
2229
19368
18499
5740
14015
8991
19943
9821
13472
17406
11336
19619
13879
13803
4/1/2018
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45
51
23
68
61
79
43
15
44
45
47
12
16
63
76
53
36
35
13
27
104
37
35
33
95
78
13
84
65
48
52
54
70
71
21
66
35
40
82
78
57
63
76
2136490
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13060
6978
2365
7313
9550
249
5866
463
8495
1505
1370
11937
9567
11258
6899
5470
4639
13216
14761
6059
11963
11146
3768
9047
18427
17785
5078
16908
6162
16219
2509
6663
10426
14253
12010
2350
13579
12599
19593
17848
15045
13075
11023
4/1/2018
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12
42
61
102
84
63
37
73
19
37
32
56
63
61
52
41
34
25
50
32
65
61
27
51
64
20
81
44
81
55
16
34
45
11
100
14
43
25
42
45
46
35
46
2136567
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11317
18802
4891
9297
469
4305
2698
14102
16696
4776
9975
18048
542
17097
10191
6471
18732
12734
5777
7431
16940
6159
10494
2368
19349
19450
14482
9407
17879
3981
13565
13337
15216
2478
12438
6267
1066
680
406
15042
5743
19590
250
4/1/2018
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46
35
54
36
28
41
15
28
62
93
16
50
60
63
57
22
85
33
120
56
35
60
62
20
24
26
70
28
46
53
39
35
43
68
22
24
49
44
31
14
29
14
61
2136653
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2136661
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17482
12264
6186
4098
5860
7179
524
1601
811
18145
8836
2046
3560
4748
13912
478
3090
5146
10602
12828
7517
790
12496
12671
5558
16987
4736
19558
11917
3028
10689
13736
13260
10752
19047
2236
5417
8524
17954
19586
12869
15201
13687
4/1/2018
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4/1/2018
28
66
70
25
37
15
69
62
43
18
42
20
43
68
69
25
65
10
57
30
62
26
54
108
34
26
71
56
14
12
56
22
65
16
62
102
43
73
34
59
44
51
28
2136738
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2136751
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2136826
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2136832
1866
14216
1438
17737
17412
10994
16586
3106
8305
6616
3492
7111
1856
9309
11619
180
12312
17339
18112
11334
12210
10785
15386
15073
5668
18004
8529
12053
18804
4879
3941
17911
12215
473
9386
5467
4697
455
14849
17367
5059
6269
12887
4/1/2018
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4/1/2018
52
24
30
31
77
23
39
34
28
56
39
56
27
19
70
11
23
52
53
38
58
73
64
51
40
26
21
53
14
46
77
37
35
82
41
71
94
64
24
56
64
50
31
2136834
2136839
2136840
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2136852
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2136891
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2136924
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2136927
2136928
8081
17938
8201
1352
8188
13094
16746
8645
7453
8105
13371
17597
10143
8959
19374
16709
11052
1418
11842
5626
15538
4866
18605
13492
12248
4639
12776
526
6702
2449
6959
11862
3590
17455
19866
16258
2244
11574
6509
16253
13701
15530
14927
4/1/2018
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4/1/2018
58
32
62
10
50
61
49
24
53
18
67
49
60
60
23
67
63
34
23
27
60
11
86
62
33
20
42
64
68
66
31
61
24
44
74
12
65
24
51
45
43
56
17
2136931
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2136935
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2136941
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2136991
2136993
2136996
2137000
2137003
2137004
2137005
2137006
2137008
2137009
2137010
1273
134
9644
1980
3937
2081
14479
11828
12081
16290
935
8110
5142
12535
4274
13337
18586
6639
16202
14602
4503
7853
9046
6829
18741
4869
19053
18978
11026
14041
2028
15017
11764
8406
14554
2143
15424
424
15442
4999
16868
766
2501
4/1/2018
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4/1/2018
4/1/2018
53
72
11
41
12
26
41
25
132
38
30
16
36
82
14
29
23
60
54
68
42
102
25
23
108
41
66
63
24
23
60
37
27
32
65
15
49
59
49
65
35
46
10
2137013
2137014
2137024
2137025
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2137093
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2137095
16525
9415
4933
6438
1270
2421
17843
1924
2179
12750
3484
10711
14681
16336
151
11385
1939
2904
1927
14638
2218
7578
9826
5292
6211
11498
18948
7211
16784
6080
9636
3078
16327
3534
15502
16982
9402
18108
11343
850
13369
16480
17279
4/1/2018
4/1/2018
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4/1/2018
4/1/2018
4/1/2018
87
56
32
56
65
39
57
132
53
32
18
65
51
44
16
37
11
67
53
42
62
17
37
26
60
53
40
25
67
47
51
62
39
46
49
47
73
12
26
62
37
54
56
2137098
2137099
2137100
2137101
2137103
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2137182
7761
15449
13636
4827
4545
2708
17708
5827
3696
5807
2173
16725
10072
17192
18649
5856
12568
8518
19708
10660
13357
499
13930
15115
2445
12848
11519
6702
15093
12138
4580
16850
1763
256
187
7444
6114
15481
9480
12857
12257
16980
5096
4/1/2018
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4/2/2018
27
33
24
57
29
36
27
48
30
52
48
46
42
33
42
67
31
16
79
43
46
78
32
36
25
66
27
30
32
56
14
85
73
15
33
30
13
17
54
34
39
32
39
2137185
2137190
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2137276
2137278
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2137280
2137281
2137282
3090
19168
10108
12938
65
2854
14239
17167
12773
4353
16877
15624
2597
17814
19718
10434
9365
17747
5796
15295
18222
18544
18484
1125
4247
16707
3460
10927
3347
7931
9222
10380
18679
16086
8996
2768
13460
6546
9114
19739
12873
6889
18657
4/2/2018
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4/2/2018
48
10
24
52
32
10
12
34
41
31
41
16
55
60
45
75
34
53
24
58
23
41
96
91
32
27
53
69
67
34
21
60
19
26
23
42
49
60
17
33
67
39
66
2137283
2137284
2137286
2137296
2137297
2137299
2137305
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2137312
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2137325
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2137361
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2137364
2137365
4105
7926
13039
19140
2435
74
10848
3555
6314
2488
7854
2192
911
15215
13272
11963
7613
1657
9106
11424
16869
13795
13741
9749
9624
13853
16939
5035
12073
19683
19898
18936
15501
18982
9392
18318
7187
18188
939
15179
4492
12616
14750
4/2/2018
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