This repository has been archived by the owner on Mar 1, 2023. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathgoogle_capston_subset.twb
1495 lines (1494 loc) · 102 KB
/
google_capston_subset.twb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20222.22.0624.2136 -->
<workbook original-version='18.1' source-build='2022.2.0 (20222.22.0624.2136)' source-platform='mac' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<_.fcp.AnimationOnByDefault.true...AnimationOnByDefault />
<_.fcp.MarkAnimation.true...MarkAnimation />
<_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
<_.fcp.ObjectModelTableType.true...ObjectModelTableType />
<_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
<SheetIdentifierTracking />
<WindowsPersistSimpleIdentifiers />
</document-format-change-manifest>
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
<_.fcp.AnimationOnByDefault.false...style>
<_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule element='animation'>
<_.fcp.AnimationOnByDefault.false...format attr='animation-on' value='ao-on' />
</_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule>
</_.fcp.AnimationOnByDefault.false...style>
<datasources>
<datasource caption='google_proj_subset' inline='true' name='federated.06xgv6s04vlcc613pa48v1svhr3s' version='18.1'>
<connection class='federated'>
<named-connections>
<named-connection caption='google_proj_subset' name='textscan.077naq41hy8b8x1h7ftdi0if2cqn'>
<connection class='textscan' directory='/Users/Thoma/google_data_analytics_data' filename='google_proj_subset.csv' password='' server='' />
</named-connection>
</named-connections>
<_.fcp.ObjectModelEncapsulateLegacy.false...relation connection='textscan.077naq41hy8b8x1h7ftdi0if2cqn' name='google_proj_subset.csv' table='[google_proj_subset#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_NZ' separator=','>
<column datatype='string' name='ride_id' ordinal='0' />
<column datatype='string' name='rideable_type' ordinal='1' />
<column datatype='datetime' name='started_at' ordinal='2' />
<column datatype='datetime' name='ended_at' ordinal='3' />
<column datatype='string' name='start_station_name' ordinal='4' />
<column datatype='string' name='start_station_id' ordinal='5' />
<column datatype='string' name='end_station_name' ordinal='6' />
<column datatype='string' name='end_station_id' ordinal='7' />
<column datatype='real' name='start_lat' ordinal='8' />
<column datatype='real' name='start_lng' ordinal='9' />
<column datatype='real' name='end_lat' ordinal='10' />
<column datatype='real' name='end_lng' ordinal='11' />
<column datatype='string' name='member_casual' ordinal='12' />
<column datatype='integer' name='ride_length' ordinal='13' />
<column datatype='string' name='day_of_week' ordinal='14' />
<column datatype='string' name='season' ordinal='15' />
<column datatype='boolean' name='is_public_holiday' ordinal='16' />
<column datatype='string' name='which_public_holiday' ordinal='17' />
</columns>
</_.fcp.ObjectModelEncapsulateLegacy.false...relation>
<_.fcp.ObjectModelEncapsulateLegacy.true...relation connection='textscan.077naq41hy8b8x1h7ftdi0if2cqn' name='google_proj_subset.csv' table='[google_proj_subset#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_NZ' separator=','>
<column datatype='string' name='ride_id' ordinal='0' />
<column datatype='string' name='rideable_type' ordinal='1' />
<column datatype='datetime' name='started_at' ordinal='2' />
<column datatype='datetime' name='ended_at' ordinal='3' />
<column datatype='string' name='start_station_name' ordinal='4' />
<column datatype='string' name='start_station_id' ordinal='5' />
<column datatype='string' name='end_station_name' ordinal='6' />
<column datatype='string' name='end_station_id' ordinal='7' />
<column datatype='real' name='start_lat' ordinal='8' />
<column datatype='real' name='start_lng' ordinal='9' />
<column datatype='real' name='end_lat' ordinal='10' />
<column datatype='real' name='end_lng' ordinal='11' />
<column datatype='string' name='member_casual' ordinal='12' />
<column datatype='integer' name='ride_length' ordinal='13' />
<column datatype='string' name='day_of_week' ordinal='14' />
<column datatype='string' name='season' ordinal='15' />
<column datatype='boolean' name='is_public_holiday' ordinal='16' />
<column datatype='string' name='which_public_holiday' ordinal='17' />
</columns>
</_.fcp.ObjectModelEncapsulateLegacy.true...relation>
<metadata-records>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias />
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='character-set'>"UTF-8"</attribute>
<attribute datatype='string' name='collation'>"en_GB"</attribute>
<attribute datatype='string' name='field-delimiter'>","</attribute>
<attribute datatype='string' name='header-row'>"true"</attribute>
<attribute datatype='string' name='locale'>"en_NZ"</attribute>
<attribute datatype='string' name='single-char'>""</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>ride_id</remote-name>
<remote-type>129</remote-type>
<local-name>[ride_id]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>ride_id</remote-alias>
<ordinal>0</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>rideable_type</remote-name>
<remote-type>129</remote-type>
<local-name>[rideable_type]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>rideable_type</remote-alias>
<ordinal>1</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>started_at</remote-name>
<remote-type>135</remote-type>
<local-name>[started_at]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>started_at</remote-alias>
<ordinal>2</ordinal>
<local-type>datetime</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>ended_at</remote-name>
<remote-type>135</remote-type>
<local-name>[ended_at]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>ended_at</remote-alias>
<ordinal>3</ordinal>
<local-type>datetime</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>start_station_name</remote-name>
<remote-type>129</remote-type>
<local-name>[start_station_name]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>start_station_name</remote-alias>
<ordinal>4</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>start_station_id</remote-name>
<remote-type>129</remote-type>
<local-name>[start_station_id]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>start_station_id</remote-alias>
<ordinal>5</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>end_station_name</remote-name>
<remote-type>129</remote-type>
<local-name>[end_station_name]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>end_station_name</remote-alias>
<ordinal>6</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>end_station_id</remote-name>
<remote-type>129</remote-type>
<local-name>[end_station_id]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>end_station_id</remote-alias>
<ordinal>7</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>start_lat</remote-name>
<remote-type>5</remote-type>
<local-name>[start_lat]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>start_lat</remote-alias>
<ordinal>8</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>start_lng</remote-name>
<remote-type>5</remote-type>
<local-name>[start_lng]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>start_lng</remote-alias>
<ordinal>9</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>end_lat</remote-name>
<remote-type>5</remote-type>
<local-name>[end_lat]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>end_lat</remote-alias>
<ordinal>10</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>end_lng</remote-name>
<remote-type>5</remote-type>
<local-name>[end_lng]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>end_lng</remote-alias>
<ordinal>11</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>member_casual</remote-name>
<remote-type>129</remote-type>
<local-name>[member_casual]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>member_casual</remote-alias>
<ordinal>12</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>ride_length</remote-name>
<remote-type>20</remote-type>
<local-name>[ride_length]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>ride_length</remote-alias>
<ordinal>13</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>day_of_week</remote-name>
<remote-type>129</remote-type>
<local-name>[day_of_week]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>day_of_week</remote-alias>
<ordinal>14</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>season</remote-name>
<remote-type>129</remote-type>
<local-name>[season]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>season</remote-alias>
<ordinal>15</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>is_public_holiday</remote-name>
<remote-type>11</remote-type>
<local-name>[is_public_holiday]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>is_public_holiday</remote-alias>
<ordinal>16</ordinal>
<local-type>boolean</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>which_public_holiday</remote-name>
<remote-type>129</remote-type>
<local-name>[which_public_holiday]</local-name>
<parent-name>[google_proj_subset.csv]</parent-name>
<remote-alias>which_public_holiday</remote-alias>
<ordinal>17</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
</metadata-records>
</connection>
<aliases enabled='yes' />
<_.fcp.ObjectModelTableType.true...column caption='google_proj_subset.csv' datatype='table' name='[__tableau_internal_object_id__].[google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5]' role='measure' type='quantitative' />
<column caption='Day Of Week' datatype='string' name='[day_of_week]' role='dimension' type='nominal' />
<column aggregation='Avg' caption='End Lat' datatype='real' name='[end_lat]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column caption='End Lng' datatype='real' name='[end_lng]' role='measure' type='quantitative' />
<column caption='End Station Id' datatype='string' name='[end_station_id]' role='dimension' type='nominal' />
<column caption='End Station Name' datatype='string' name='[end_station_name]' role='dimension' type='nominal' />
<column caption='Ended At' datatype='datetime' name='[ended_at]' role='dimension' type='ordinal' />
<column caption='Is Public Holiday' datatype='boolean' name='[is_public_holiday]' role='dimension' type='nominal' />
<column caption='Member Casual' datatype='string' name='[member_casual]' role='dimension' type='nominal' />
<column aggregation='CountD' caption='Ride Id' datatype='string' default-role='measure' default-type='quantitative' name='[ride_id]' role='dimension' type='nominal' />
<column caption='Ride Length' datatype='integer' name='[ride_length]' role='measure' type='quantitative' />
<column caption='Rideable Type' datatype='string' name='[rideable_type]' role='dimension' type='nominal' />
<column caption='Season' datatype='string' name='[season]' role='dimension' type='nominal' />
<column aggregation='Avg' caption='Start Lat' datatype='real' name='[start_lat]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column caption='Start Lng' datatype='real' name='[start_lng]' role='measure' type='quantitative' />
<column caption='Start Station Id' datatype='string' name='[start_station_id]' role='dimension' type='nominal' />
<column caption='Start Station Name' datatype='string' name='[start_station_name]' role='dimension' type='nominal' />
<column caption='Started At' datatype='datetime' name='[started_at]' role='dimension' type='ordinal' />
<column caption='Which Public Holiday' datatype='string' name='[which_public_holiday]' role='dimension' type='nominal' />
<layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
<semantic-values>
<semantic-value key='[Country].[Name]' value='"New Zealand"' />
</semantic-values>
<date-options start-of-week='monday' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
<objects>
<object caption='google_proj_subset.csv' id='google_proj_subset.csv_A759F52FC7C0492C924EEFA39E715AB5'>
<properties context=''>
<relation connection='textscan.077naq41hy8b8x1h7ftdi0if2cqn' name='google_proj_subset.csv' table='[google_proj_subset#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_NZ' separator=','>
<column datatype='string' name='ride_id' ordinal='0' />
<column datatype='string' name='rideable_type' ordinal='1' />
<column datatype='datetime' name='started_at' ordinal='2' />
<column datatype='datetime' name='ended_at' ordinal='3' />
<column datatype='string' name='start_station_name' ordinal='4' />
<column datatype='string' name='start_station_id' ordinal='5' />
<column datatype='string' name='end_station_name' ordinal='6' />
<column datatype='string' name='end_station_id' ordinal='7' />
<column datatype='real' name='start_lat' ordinal='8' />
<column datatype='real' name='start_lng' ordinal='9' />
<column datatype='real' name='end_lat' ordinal='10' />
<column datatype='real' name='end_lng' ordinal='11' />
<column datatype='string' name='member_casual' ordinal='12' />
<column datatype='integer' name='ride_length' ordinal='13' />
<column datatype='string' name='day_of_week' ordinal='14' />
<column datatype='string' name='season' ordinal='15' />
<column datatype='boolean' name='is_public_holiday' ordinal='16' />
<column datatype='string' name='which_public_holiday' ordinal='17' />
</columns>
</relation>
</properties>
</object>
</objects>
</_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
</datasource>
</datasources>
<worksheets>
<worksheet name='Number of rides with respect to day of week'>
<table>
<view>
<datasources>
<datasource caption='google_proj_subset' name='federated.06xgv6s04vlcc613pa48v1svhr3s' />
</datasources>
<datasource-dependencies datasource='federated.06xgv6s04vlcc613pa48v1svhr3s'>
<column-instance column='[ride_id]' derivation='CountD' name='[ctd:ride_id:qk]' pivot='key' type='quantitative' />
<column caption='Day Of Week' datatype='string' name='[day_of_week]' role='dimension' type='nominal' />
<column caption='Member Casual' datatype='string' name='[member_casual]' role='dimension' type='nominal' />
<column-instance column='[day_of_week]' derivation='None' name='[none:day_of_week:nk]' pivot='key' type='nominal' />
<column-instance column='[member_casual]' derivation='None' name='[none:member_casual:nk]' pivot='key' type='nominal' />
<column aggregation='CountD' caption='Ride Id' datatype='string' default-role='measure' default-type='quantitative' name='[ride_id]' role='dimension' type='nominal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style />
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Shape' />
<encodings>
<color column='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]' />
</encodings>
<style>
<style-rule element='mark'>
<format attr='size' value='0.60000002384185791' />
</style-rule>
</style>
</pane>
</panes>
<rows>[federated.06xgv6s04vlcc613pa48v1svhr3s].[ctd:ride_id:qk]</rows>
<cols>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:day_of_week:nk]</cols>
</table>
<simple-id uuid='{3B75A16C-A81F-49F6-98C8-296BEA685620}' />
</worksheet>
<worksheet name='Ride length with respect to day of week '>
<table>
<view>
<datasources>
<datasource caption='google_proj_subset' name='federated.06xgv6s04vlcc613pa48v1svhr3s' />
</datasources>
<datasource-dependencies datasource='federated.06xgv6s04vlcc613pa48v1svhr3s'>
<column caption='Day Of Week' datatype='string' name='[day_of_week]' role='dimension' type='nominal' />
<column caption='Member Casual' datatype='string' name='[member_casual]' role='dimension' type='nominal' />
<column-instance column='[day_of_week]' derivation='None' name='[none:day_of_week:nk]' pivot='key' type='nominal' />
<column-instance column='[member_casual]' derivation='None' name='[none:member_casual:nk]' pivot='key' type='nominal' />
<column-instance column='[ride_length]' derivation='Sum' name='[pcto:sum:ride_length:qk:2]' pivot='key' type='quantitative'>
<table-calc ordering-type='Field' type='PctTotal'>
<order field='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:day_of_week:nk]' />
<order field='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]' />
</table-calc>
</column-instance>
<column caption='Ride Length' datatype='integer' name='[ride_length]' role='measure' type='quantitative' />
<column-instance column='[ride_length]' derivation='Sum' name='[sum:ride_length:qk]' pivot='key' type='quantitative' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='mark'>
<encoding attr='size-bar' field='[federated.06xgv6s04vlcc613pa48v1svhr3s].[sum:ride_length:qk]' field-type='quantitative' max-size='1' min-size='0.005' type='centersize' />
</style-rule>
</style>
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<encodings>
<color column='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]' />
<lod column='[federated.06xgv6s04vlcc613pa48v1svhr3s].[pcto:sum:ride_length:qk:2]' />
</encodings>
</pane>
</panes>
<rows>[federated.06xgv6s04vlcc613pa48v1svhr3s].[sum:ride_length:qk]</rows>
<cols>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:day_of_week:nk]</cols>
</table>
<simple-id uuid='{89E4BE14-821B-4428-B386-B23DD21B33A5}' />
</worksheet>
<worksheet name='ride length with respect to public holiday'>
<table>
<view>
<datasources>
<datasource caption='google_proj_subset' name='federated.06xgv6s04vlcc613pa48v1svhr3s' />
</datasources>
<datasource-dependencies datasource='federated.06xgv6s04vlcc613pa48v1svhr3s'>
<column-instance column='[which_public_holiday]' derivation='None' name='[none:which_public_holiday:nk]' pivot='key' type='nominal' />
<column caption='Which Public Holiday' datatype='string' name='[which_public_holiday]' role='dimension' type='nominal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style />
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
</pane>
</panes>
<rows>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:which_public_holiday:nk]</rows>
<cols />
</table>
<simple-id uuid='{CDC741A6-4A05-48B2-A6C9-E398EEB10769}' />
</worksheet>
</worksheets>
<windows source-height='30'>
<window class='worksheet' name='Ride length with respect to day of week '>
<cards>
<edge name='left'>
<strip size='160'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='31'>
<card type='title' />
</strip>
</edge>
<edge name='right'>
<strip size='160'>
<card pane-specification-id='0' param='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]' type='color' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:is_public_holiday:nk]</field>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{18C8796C-952C-4D55-A76E-2F71AFF7165B}' />
</window>
<window class='worksheet' maximized='true' name='Number of rides with respect to day of week'>
<cards>
<edge name='left'>
<strip size='160'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='31'>
<card type='title' />
</strip>
</edge>
<edge name='right'>
<strip size='160'>
<card pane-specification-id='0' param='[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]' type='color' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:day_of_week:nk]</field>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:member_casual:nk]</field>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:ride_id:nk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{9D4FE7D0-1685-4384-925C-A7B904C25679}' />
</window>
<window class='worksheet' name='ride length with respect to public holiday'>
<cards>
<edge name='left'>
<strip size='160'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='31'>
<card type='title' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.06xgv6s04vlcc613pa48v1svhr3s].[none:which_public_holiday:nk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{80D42AD7-89AB-4A59-913E-6CC4AF062A04}' />
</window>
</windows>
<thumbnails>
<thumbnail height='384' name='Number of rides with respect to day of week' width='384'>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</thumbnail>
<thumbnail height='384' name='Ride length with respect to day of week ' width='384'>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