-
Notifications
You must be signed in to change notification settings - Fork 3
/
profileReport.html
1468 lines (1399 loc) · 120 KB
/
profileReport.html
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
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Profile report</title>
<meta name="description" content="Profile report generated by pandas-profiling. See GitHub.">
<meta name="author" content="pandas-profiling">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css"
integrity="sha384-1q8mTJOASx8j1Au+a5WDVnPi2lkFfwwEAa8hDDdjZlpLegxhjVME1fgjWPGmkzs7" crossorigin="anonymous">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap-theme.min.css"
integrity="sha384-fLW2N01lMqjakBkx3l/M9EahuwpSfeNvV63J5ezn3uZzapT0u7EYsXMjQV+0En5r" crossorigin="anonymous">
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" crossorigin="anonymous"></script>
<script>
$(function () {
$('[data-toggle="tooltip"]').tooltip()
})
$("a[href^='#'].anchor").on('click', function(e) {
// prevent default anchor click behavior
e.preventDefault();
// store hash
var hash = this.hash;
// animate
$('html, body').animate({
scrollTop: $(hash).offset().top
}, 300, function(){
// when done, add hash to url
// (default click behaviour)
window.location.hash = hash;
});
});
</script>
</head>
<body>
<meta charset="UTF-8">
<style>
.variablerow {
border: 1px solid #e1e1e8;
border-top: hidden;
padding-top: 2em;
padding-bottom: 2em;
padding-left: 1em;
padding-right: 1em;
}
.headerrow {
border: 1px solid #e1e1e8;
background-color: #f5f5f5;
padding: 2em;
}
.namecol {
margin-top: -1em;
overflow-x: auto;
}
.dl-horizontal dt {
text-align: left;
padding-right: 1em;
white-space: normal;
}
.dl-horizontal dd {
margin-left: 0;
}
.ignore {
opacity: 0.4;
}
.container.pandas-profiling {
max-width:975px;
}
.col-md-12 {
padding-left: 2em;
}
.indent {
margin-left: 1em;
}
.center-img {
margin-left: auto !important;
margin-right: auto !important;
display: block;
}
/* Table example_values */
table.example_values {
border: 0;
}
.example_values th {
border: 0;
padding: 0 ;
color: #555;
font-weight: 600;
}
.example_values tr, .example_values td{
border: 0;
padding: 0;
color: #555;
}
/* STATS */
table.stats {
border: 0;
}
.stats th {
border: 0;
padding: 0 2em 0 0;
color: #555;
font-weight: 600;
}
.stats tr {
border: 0;
}
.stats td{
color: #555;
padding: 1px;
border: 0;
}
/* Sample table */
table.sample {
border: 0;
margin-bottom: 2em;
margin-left:1em;
}
.sample tr {
border:0;
}
.sample td, .sample th{
padding: 0.5em;
white-space: nowrap;
border: none;
}
.sample thead {
border-top: 0;
border-bottom: 2px solid #ddd;
}
.sample td {
width:100%;
}
/* There is no good solution available to make the divs equal height and then center ... */
.histogram {
margin-top: 3em;
}
/* Freq table */
table.freq {
margin-bottom: 2em;
border: 0;
}
table.freq th, table.freq tr, table.freq td {
border: 0;
padding: 0;
}
.freq thead {
font-weight: 600;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
td.fillremaining{
width:auto;
max-width: none;
}
td.number, th.number {
text-align:right ;
}
/* Freq mini */
.freq.mini td{
width: 50%;
padding: 1px;
font-size: 12px;
}
table.freq.mini {
width:100%;
}
.freq.mini th {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
max-width: 5em;
font-weight: 400;
text-align:right;
padding-right: 0.5em;
}
.missing {
color: #a94442;
}
.alert, .alert > th, .alert > td {
color: #a94442;
}
/* Bars in tables */
.freq .bar{
float: left;
width: 0;
height: 100%;
line-height: 20px;
color: #fff;
text-align: center;
background-color: #337ab7;
border-radius: 3px;
margin-right: 4px;
}
.other .bar {
background-color: #999;
}
.missing .bar{
background-color: #a94442;
}
.tooltip-inner {
width: 100%;
white-space: nowrap;
text-align:left;
}
.extrapadding{
padding: 2em;
}
.pp-anchor{
}
</style>
<div class="container pandas-profiling">
<div class="row headerrow highlight">
<h1>Overview</h1>
</div>
<div class="row variablerow">
<div class="col-md-6 namecol">
<p class="h4">Dataset info</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Number of variables</th>
<td>6 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>19147 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>0.0% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>897.6 KiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>48.0 B </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-6 namecol">
<p class="h4">Variables types</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Numeric</th>
<td>1 </td>
</tr>
<tr>
<th>Categorical</th>
<td>4 </td>
</tr>
<tr>
<th>Boolean</th>
<td>0 </td>
</tr>
<tr>
<th>Date</th>
<td>1 </td>
</tr>
<tr>
<th>Text (Unique)</th>
<td>0 </td>
</tr>
<tr>
<th>Rejected</th>
<td>0 </td>
</tr>
<tr>
<th>Unsupported</th>
<td>0 </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-12" style="padding-left: 1em;">
<p class="h4">Warnings</p>
<ul class="list-unstyled"><li><a href="#pp_var_Year"><code>Year</code></a> has a high cardinality: 108 distinct values <span class="label label-warning">Warning</span></li><li>Dataset has 769 duplicate rows <span class="label label-warning">Warning</span></li> </ul>
</div>
</div>
<div class="row headerrow highlight">
<h1>Variables</h1>
</div>
<div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_DOB">DOB<br/>
<small>Date</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>11613</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>60.7%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Minimum</th>
<td>1900-01-01 00:00:00</td>
</tr>
<tr>
<th>Maximum</th>
<td>2008-10-25 00:00:00</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-6375513578839328654">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbVJREFUeJzt3TGO00AYhuHfEa2TPopvwSH2TtRbch8OsbdIlAPYoqAgQwGhYj%2BJiB1j7fOUsaJ/LM0reyoPrbVWnV0ul5qmqfdYNu58PtfpdOo680PXab%2BM41hVP294v9%2BvsQQ2ZJ7nmqbp977paZVAhmGoqqr9fi%2BQjfj46ctf/%2Bfl%2BemfruG%2Bb3radZ8IGyIQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFglc9As65HPun8XnmCQCAQCLxi8WYeeZV7eX56g5U8zhMEAoFAIBAIVjmDtNaqqmqe5zXGv3vfv31dewmv%2BtOeuP923zc9rRLIsixVVTVN0xrj%2BY8dPr9%2BbVmWOhwO/RZTVUNbIcvb7VbX67XGcaxhGHqPZ2Naa7UsSx2Px9rt%2Bp4KVgkEtsIhHQKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHgB/h%2BRNzEG7mYAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-6375513578839328654,#minihistogram-6375513578839328654"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-6375513578839328654">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X1cVHXe//H3JDKiKxNqMI631JZJmmvSKpaLlQLlTa3t5i41Reu6unmTYneoteZeYRaRm5SWW9pVltYarntVBHbjzSV4j2mZWt6LiG04qCmgnt8fXpyfI5i2fbkZfD0fj3k8nHM%2B53vOx4Hhzfcczjgsy7IEAAAAYy6p7QMAAACobwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGBYUG0fwMXg1KlTKigoUNOmTeVwOGr7cAAAuChYlqXDhw/L4/Hokktqdk6JgFUDCgoK1KZNm9o%2BDAAALkp79uxR69ata3SfBKwa0LRpU0mnX%2BDQ0NBaPhoAAC4OJSUlatOmjf1zuCYRsGpAxWnB0NBQAhYAADWsNi7P4SJ3AAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABjGhz0DAHCBoidk1fYh/Chrnkqo7UO4aDGDBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADD6mzAWrp0qQYMGCCPxyOHw6GFCxees3bYsGFyOByaNm2a3/Li4mJ5vV65XC65XC55vV4dOnTIr2bjxo2KjY1VSEiIWrVqpcmTJ8uyLL%2BaBQsWKCoqSk6nU1FRUcrMzDTXKAAAqHfqbMA6evSounTpooyMjB%2BsW7hwoVauXCmPx1NpXWJiovLz85WVlaWsrCzl5%2BfL6/Xa60tKStS3b195PB6tXr1a06dPV1pamtLT0%2B2a3NxcDR48WF6vVxs2bJDX69Vdd92llStXmmsWAADUK0G1fQDncuutt%2BrWW2/9wZp9%2B/Zp5MiR%2Buijj9SvXz%2B/dZs3b1ZWVpby8vLUvXt3SdKsWbMUExOjLVu2qEOHDpo7d66OHz%2BuOXPmyOl0qlOnTtq6davS09OVnJxsz4r17dtXKSkpkqSUlBQtWbJE06ZN09tvv109zQMAgIBWZ2ewzufUqVPyer16%2BOGHdc0111Ran5ubK5fLZYcrSerRo4dcLpdWrFhh18TGxsrpdNo18fHxKigo0M6dO%2B2auLg4v7Hj4%2BPtMQAAAM4WsAFr6tSpCgoK0ujRo6tcX1hYqPDw8ErLw8PDVVhYaNdERET4ra94fr6aivVVKS0tVUlJid8DAABcPAIyYK1du1Z/%2B9vfNGfOHDkcjnPWVbXOsiy/5WfXVFzgfr6aH9rvlClT7AvrXS6X2rRp88MNAQCAeiUgA9ayZctUVFSktm3bKigoSEFBQdq1a5fGjRun9u3bS5LcbrcOHDhQaduDBw/aM1Jut7vSTFRRUZEknbfm7FmtM6WkpMjn89mPPXv2/Me9AgCAwBOQAcvr9erzzz9Xfn6%2B/fB4PHr44Yf10UcfSZJiYmLk8/m0atUqe7uVK1fK5/OpZ8%2Beds3SpUtVVlZm12RnZ8vj8dhBLSYmRjk5OX77z87OtseoitPpVGhoqN8DAABcPOrsXxEeOXJEX3/9tf18x44dys/PV7NmzdS2bVs1b97cr75hw4Zyu93q0KGDJKljx45KSEjQ0KFD9fLLL0uS/vSnP6l///52TWJiop588kklJSVp/Pjx2rZtm1JTU/XEE0/YpwAffPBB/epXv9LUqVN1%2B%2B2365///KcWL16s5cuX18R/AwAACEB1dgZrzZo16tq1q7p27SpJSk5OVteuXfXEE09c8Bhz585V586dFRcXp7i4OF177bV644037PUul0s5OTnau3evoqOj9cADDyg5OVnJycl2Tc%2BePTVv3jzNnj1b1157rebMmaP58%2Bf7/XUiAADAmRzW2bcth3ElJSVyuVzy%2BXycLgSAABY9Iau2D%2BFHWfNUQm0fQq2qzZ%2B/dXYGCwAAIFARsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwOhuwli5dqgEDBsjj8cjhcGjhwoX2uvLycj366KPq3LmzmjRpIo/Ho3vvvVcFBQV%2BYxQXF8vr9crlcsnlcsnr9erQoUN%2BNRs3blRsbKxCQkLUqlUrTZ48WZZl%2BdUsWLBAUVFRcjqdioqKUmZmZvU1DgAAAl6dDVhHjx5Vly5dlJGRUWnd999/r3Xr1unxxx/XunXr9N5772nr1q0aOHCgX11iYqLy8/OVlZWlrKws5efny%2Bv12utLSkrUt29feTwerV69WtOnT1daWprS09PtmtzcXA0ePFher1cbNmyQ1%2BvVXXfdpZUrV1Zf8wAAIKA5rLOna%2Bogh8OhzMxM3XHHHeesWb16tX75y19q165datu2rTZv3qyoqCjl5eWpe/fukqS8vDzFxMToq6%2B%2BUocOHTRjxgylpKTowIEDcjqdkqSnn35a06dP1969e%2BVwODR48GCVlJToww8/tPeVkJCgsLAwvf322xd0/CUlJXK5XPL5fAoNDf0J/xMAgNoUPSGrtg/hR1nzVEJtH0Ktqs2fv3V2BuvH8vl8cjgcuvTSSyWdnnlyuVx2uJKkHj16yOVyacWKFXZNbGysHa4kKT4%2BXgUFBdq5c6ddExcX57ev%2BPh4ewwAAICz1YuAdfz4cT322GNKTEy0E2phYaHCw8Mr1YaHh6uwsNCuiYiI8Ftf8fx8NRXrq1JaWqqSkhK/BwAAuHgEfMAqLy/X7373O506dUovvfSS3zqHw1Gp3rIsv%2BVn11ScMT1fTVVjV5gyZYp9Yb3L5VKbNm0uvCEAABDwAjpglZeX66677tKOHTuUk5Pjd37V7XbrwIEDlbY5ePCgPSPldrsrzUQVFRVJ0nlrzp7VOlNKSop8Pp/92LNnz3/WIAAACEgBG7AqwtW2bdu0ePFiNW/e3G99TEyMfD6fVq1aZS9buXKlfD6fevbsadcsXbpUZWVldk12drY8Ho/at29v1%2BTk5PiNnZ2dbY9RFafTqdDQUL8HAAC4eNTZgHXkyBHl5%2BcrPz9fkrRjxw7l5%2Bdr9%2B7dOnHihH7zm99ozZo1mjt3rk6ePKnCwkIVFhbaYaljx45KSEjQ0KFDlZeXp7y8PA0dOlT9%2B/dXhw4dJJ2%2BjYPT6VRSUpI2bdqkzMxMpaamKjk52T4F%2BOCDDyo7O1tTp07VV199palTp2rx4sUaM2ZM7fzHAACAOq/O3qbhs88%2B00033VRp%2BX333adJkyYpMjKyyu0%2B/fRT9e7dW5L03XffafTo0Vq0aJEkaeDAgcrIyLD/0lA6faPRESNGaNWqVQoLC9Pw4cP1xBNP%2BF1j9Y9//EMTJ07U9u3bdcUVV%2Bipp57SoEGDLrgXbtMAAPUDt2kILLX587fOBqz6hIAFAPUDASuwcB8sAACAeoSABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIbV2YC1dOlSDRgwQB6PRw6HQwsXLvRbb1mWJk2aJI/Ho5CQEPXu3VtffPGFX01xcbG8Xq9cLpdcLpe8Xq8OHTrkV7Nx40bFxsYqJCRErVq10uTJk2VZll/NggULFBUVJafTqaioKGVmZlZP0wAAoF6oswHr6NGj6tKlizIyMqpc/8wzzyg9PV0ZGRlavXq13G63%2Bvbtq8OHD9s1iYmJys/PV1ZWlrKyspSfny%2Bv12uvLykpUd%2B%2BfeXxeLR69WpNnz5daWlpSk9Pt2tyc3M1ePBgeb1ebdiwQV6vV3fddZdWrlxZfc0DAICA5rDOnq6pgxwOhzIzM3XHHXdIOj175fF4NGbMGD366KOSpNLSUkVERGjq1KkaNmyYNm/erKioKOXl5al79%2B6SpLy8PMXExOirr75Shw4dNGPGDKWkpOjAgQNyOp2SpKefflrTp0/X3r175XA4NHjwYJWUlOjDDz%2B0jychIUFhYWF6%2B%2B23L%2Bj4S0pK5HK55PP5FBoaavK/BgBQg6InZNX2Ifwoa55KqO1DqFW1%2BfO3zs5g/ZAdO3aosLBQcXFx9jKn06nY2FitWLFC0umZJ5fLZYcrSerRo4dcLpdfTWxsrB2uJCk%2BPl4FBQXauXOnXXPmfipqKsYAAAA4W0AGrMLCQklSRESE3/KIiAh7XWFhocLDwyttGx4e7ldT1Rhn7uNcNRXrq1JaWqqSkhK/BwAAuHgEZMCq4HA4/J5bluW37Oz1F1JTccb0fDVVjV1hypQp9oX1LpdLbdq0uYBuAABAfRGQAcvtdktSpVmkoqIie7bJ7XbrwIEDlbY9ePCgX01VY0g6b83Zs1pnSklJkc/nsx979uz5Me0BAIAAF5ABKzIyUm63Wzk5OfaysrIyLVmyRD179pQkxcTEyOfzadWqVXbNypUr5fP5/GqWLl2qsrIyuyY7O1sej0ft27e3a87cT0VNxRhVcTqdCg0N9XsAAICLR50NWEeOHFF%2Bfr7y8/Mlnb6wPT8/X7t375bD4dCYMWOUmpqqzMxMbdq0SUlJSWrcuLESExMlSR07dlRCQoKGDh2qvLw85eXlaejQoerfv786dOgg6fRtHJxOp5KSkrRp0yZlZmYqNTVVycnJ9inABx98UNnZ2Zo6daq%2B%2BuorTZ06VYsXL9aYMWNq5z8GAADUeUG1fQDnsmbNGt1000328%2BTkZEnSfffdpzlz5uiRRx7RsWPH9MADD6i4uFjdu3dXdna2mjZtam8zd%2B5cjR492v4rwIEDB/rdV8vlciknJ0cjRoxQdHS0wsLClJycbO9Lknr27Kl58%2BZp4sSJevzxx3XFFVdo/vz5fn%2BdCAAAcKaAuA9WoOM%2BWABQP3AfrMDCfbAAAADqEQIWAACAYQQsAAAAwwhYAAAAhhGwAAAADDMesN58800dP37c9LAAAAABw3jASk5Oltvt1rBhw/zuog4AAHCxMB6wCgoK9Nprr2n//v268cYbdc011%2Bi5557TwYMHTe8KAACgTjIesIKCgjRo0CAtWrRIu3fv1n333afXXntNrVu31qBBg/T%2B%2B%2B%2BLe5sCAID6rFovcne73brlllvUu3dvORwOrVmzRomJibryyiu1bNmy6tw1AABAramWgPXtt99q2rRp6tKli2644QYVFRVp4cKF2rVrl/bt26f%2B/fvr3nvvrY5dAwAA1DrjH/b861//Wh988IEiIyP1xz/%2BUffdd58uu%2Bwye/3PfvYzPfLII3rhhRdM7xoAAKBOMB6wQkNDtXjxYvXq1eucNS1bttS2bdtM7xoAAKBOMB6wXn/99fPWOBwOXXHFFaZ3DQAAUCcYvwZr7NixysjIqLT8xRdf1Lhx40zvDgAAoM4xHrDeffdd9ejRo9LymJgYzZ8/3/TuAAAA6hzjAevbb79VWFhYpeWhoaH69ttvTe8OAACgzjEesK644gp99NFHlZZ/9NFHioyMNL07AACAOsf4Re5jxozRmDFj9O9//1s333yzJOnjjz/WM888o7S0NNO7AwAAqHOMB6yhQ4fq%2BPHjSk1N1V/%2B8hdJUuvWrfXCCy/oD3/4g%2BndAQAA1DnGA5YkjRo1SqNGjdL%2B/fsVEhKiSy%2B9tDp2AwAAUCdVS8Cq0LJly%2BocHgAAoE4yfpH7wYMHdf/996tt27Zq1KiRgoOD/R4AAAD1nfEZrKSkJH3zzTd6%2BOGH1bJlSzkcDtO7AAAAqNOMB6ylS5dq6dKl6tq1q%2BmhAQAAAoLxU4StW7dm1goAAFzUjAes559/XikpKdq7d6/poQEAAAKC8VOEXq9Xhw8fVrt27RQaGqqGDRv6rS8qKjK9SwAAgDrFeMB6%2BumnTQ8JAAAQUIwHrCFDhpgeEgAAIKAYvwZLknbu3KlJkybJ6/XapwSzs7O1efNmY/s4ceKEJk6cqMjISIWEhOjyyy/X5MmTderUKbvGsixNmjRJHo9HISEh6t27t7744gu/cYqLi%2BX1euVyueRyueT1enXo0CG/mo0bNyo2NlYhISFq1aqVJk%2BeLMuyjPUCAADqF%2BMBa9myZbrmmmu0ZMkSvfPOOzpy5Igkad26dXriiSeM7Wfq1KmaOXOmMjIytHnzZj3zzDN69tlnNX36dLvmmWeeUXp6ujIyMrR69Wq53W717dtXhw8ftmsSExOVn5%2BvrKwsZWVlKT8/X16v115fUlKivn37yuPxaPXq1Zo%2BfbrS0tKUnp5urBcAAFC/GD9F%2BOijj2rSpEl6%2BOGH1bRpU3v5zTffrBdffNHYfnJzc3X77berX79%2BkqT27dvr7bff1po1aySdnr2aNm2aJkyYoEGDBkmSXn/9dUVEROitt97SsGHDtHnzZmVlZSkvL0/du3eXJM2aNUsxMTHasmWLOnTooLlz5%2Br48eOaM2eOnE6nOnXqpK1btyo9PV3JycnckgIAAFRifAbr888/129%2B85tKy8PDw3Xw4EFj%2B7nxxhv18ccfa%2BvWrZKkDRs2aPny5brtttskSTt27FBhYaHi4uLsbZxOp2JjY7VixQpJp0Oay%2BWyw5Uk9ejRQy6Xy68mNjZWTqfTromPj1dBQYF27txprB8AAFB/GJ/BuvTSS1VYWKjIyEi/5fn5%2BWrVqpWx/Tz66KPy%2BXy6%2Buqr1aBBA508eVJPPfWUfv/730uSCgsLJUkRERF%2B20VERGjXrl12TXh4eKWxw8PD7e0LCwvVvn37SmNUrDu7T0kqLS1VaWmp/bykpOQ/7BIAAAQi4zNYv/vd7/TYY4/p4MGD9umzlStX6qGHHtI999xjbD/z58/Xm2%2B%2Bqbfeekvr1q3T66%2B/rrS0NL3%2B%2But%2BdWefwrMsy29ZVaf4zldTcYH7uU4PTpkyxb5o3uVyqU2bNj%2BuOQAAENCMB6zU1FS53W61bNlSR44cUVRUlHr27Knrr79ejz/%2BuLH9PPzww3rsscf0u9/9Tp07d5bX69XYsWM1ZcoUSZLb7Zb0/2eyKhQVFdkzUG63WwcOHKg09sGDB/1qqhpDqjw7ViElJUU%2Bn89%2B7Nmz5yd0CgAAAo3xU4TBwcGaP3%2B%2Btm7dqnXr1unUqVO67rrrdPXVVxvdz/fff69LLvHPhw0aNLBv0xAZGSm3262cnBz7g6fLysq0ZMkSTZ06VZIUExMjn8%2BnVatW6Ze//KWk07NtPp9PPXv2tGvGjx%2BvsrIyBQcHSzp9ywmPx1Pp1GEFp9Ppd80WAAC4uBgPWBWuuuoqXXXVVdU1vAYMGKCnnnpKbdu21TXXXKP169crPT1df/jDHySdPn03ZswYpaam6sorr9SVV16p1NRUNW7cWImJiZKkjh07KiEhQUOHDtXLL78sSfrTn/6k/v37q0OHDpJO38bhySefVFJSksaPH69t27YpNTVVTzzxBH9BCAAAqmQ8YP3pT3/6wfWvvPKKkf1Mnz5djz/%2BuB544AEVFRXJ4/Fo2LBhfvfaeuSRR3Ts2DE98MADKi4uVvfu3ZWdne13%2B4i5c%2Bdq9OjR9l8bDhw4UBkZGfZ6l8ulnJwcjRgxQtHR0QoLC1NycrKSk5ON9AEAAOofh2X4luQDBgzwe15eXq4vvvhChw8f1q9%2B9SstWrTI5O4CQklJiVwul3w%2Bn0JDQ2v7cAAA/6HoCVm1fQg/ypqnEmr7EGpVbf78NT6D9a9//avSshMnTujPf/6zOnbsaHp3AAAAdU61fBbh2YKCgvTQQw/p2WefrYndAQAA1KoaCViStH37dpWXl9fU7gAAAGqN8VOEjzzyiN9zy7K0f/9%2BLVq0SHfffbfp3QEAANQ5xgNWbm6u3/NLLrlEl112mZ5%2B%2BmkNHTrU9O4AAADqHOMBa9myZaaHBAAACCg1dg0WAADAxcL4DNb1119/wXc4X7VqlendAwAA1DrjAeumm27Syy%2B/rKuuukoxMTGSpLy8PG3ZskXDhg3jM/oAAEC9ZzxgHTp0SCNGjFBqaqrf8gkTJujAgQP6%2B9//bnqXAAAAdYrxa7Deeecd3X///ZWWJyUl6d133zW9OwAAgDrHeMByOp1asWJFpeUrVqzg9CAAALgoGD9FOHr0aA0fPlzr169Xjx49JJ2%2BBmvWrFkaP3686d0BAADUOcYD1oQJExQZGam//e1veu211yRJHTt21KxZs5SYmGh6dwAAAHWO8YAlSYmJiYQpAABw0aqWG42WlJRozpw5euKJJ1RcXCxJ2rBhg/bv318duwMAAKhTjM9gbdq0SX369FHjxo21Z88eJSUlKSwsTO%2B884727t2r119/3fQuAQAA6hTjM1hjx45VYmKivvnmGzVq1Mhe3q9fPy1dutT07gAAAOoc4zNYq1ev1owZMyp9XE6rVq04RQgAAC4KxmewgoODdeTIkUrLt23bphYtWpjeHQAAQJ1jPGANHDhQf/3rX3XixAlJksPh0L59%2B/TYY49p0KBBpncHAABQ5xgPWM8995wKCgrkdrt17Ngx3Xzzzbr88svVqFGjSp9PCAAAUB8ZvwbL5XJpxYoVysnJ0bp163Tq1Cldd911io%2BPr3RdFgAAQH1kNGCVl5frtttu00svvaS4uDjFxcWZHB4AACAgGD1F2LBhQ61fv56ZKgAAcFEzfg3WPffco9mzZ5seFgAAIGBUy2cRZmRkaPHixYqOjlaTJk381j3zzDPVsUsAAIA6w3jAWrt2ra699lpJ0ueff%2B63jlOHAADgYmAsYG3fvl2RkZFatmyZqSEBAAACkrFrsK688kodPHjQfj548GAdOHDA1PAAAAABw1jAsizL7/kHH3ygo0ePmhq%2BSvv27dM999yj5s2bq3HjxvrFL36htWvX%2Bh3TpEmT5PF4FBISot69e%2BuLL77wG6O4uFher1cul0sul0ter1eHDh3yq9m4caNiY2MVEhKiVq1aafLkyZX6BQAAqGD8rwhrSnFxsW644QY1bNhQH374ob788ks999xzuvTSS%2B2aZ555Runp6crIyNDq1avldrvVt29fHT582K5JTExUfn6%2BsrKylJWVpfz8fHm9Xnt9SUmJ%2BvbtK4/Ho9WrV2v69OlKS0tTenp6jfYLAAACh7FrsBwOR6WL2KvzovapU6eqTZs2freEaN%2B%2Bvf1vy7I0bdo0TZgwwf4MxNdff10RERF66623NGzYMG3evFlZWVnKy8tT9%2B7dJUmzZs1STEyMtmzZog4dOmju3Lk6fvy45syZI6fTqU6dOmnr1q1KT09XcnIyF%2B4DAIBKjJ4iTEpK0qBBgzRo0CAdP35cw4cPt59XPExZtGiRoqOj9dvf/lbh4eHq2rWrZs2aZa/fsWOHCgsL/e4m73Q6FRsbqxUrVkiScnNz5XK57HAlST169LA/7qeiJjY2Vk6n066Jj49XQUGBdu7caawfAABQfxibwbrvvvv8nt9zzz2mhq7S9u3bNWPGDCUnJ2v8%2BPFatWqVRo8eLafTqXvvvVeFhYWSpIiICL/tIiIitGvXLklSYWGhwsPDK40dHh5ub19YWOg3M3bmmIWFhYqMjKy0fWlpqUpLS%2B3nJSUl/3mjAAAg4BgLWDV99/ZTp04pOjpaqampkqSuXbvqiy%2B%2B0IwZM3TvvffadWefwrMsy29ZVaf4zldTcYH7uU4PTpkyRU8%2B%2BeSP7AgAANQXAXuRe8uWLRUVFeW3rGPHjtq9e7ckye12S5I9E1WhqKjInoFyu91V3kri4MGDfjVVjSFVnh2rkJKSIp/PZz/27NnzY9sDAAABLGAD1g033KAtW7b4Ldu6davatWsnSYqMjJTb7VZOTo69vqysTEuWLFHPnj0lSTExMfL5fFq1apVds3LlSvl8Pr%2BapUuXqqyszK7Jzs6Wx%2BOpdOqwgtPpVGhoqN8DAABcPAI2YI0dO1Z5eXlKTU3V119/rbfeekuvvPKKRowYIen06bsxY8YoNTVVmZmZ2rRpk5KSktS4cWMlJiZKOj3jlZCQoKFDhyovL095eXkaOnSo%2Bvfvrw4dOkg6fRsHp9OppKQkbdq0SZmZmUpNTeUvCAEAwDlVy4c914Trr79emZmZSklJ0eTJkxUZGalp06bp7rvvtmseeeQRHTt2TA888ICKi4vVvXt3ZWdnq2nTpnbN3LlzNXr0aPuvDQcOHKiMjAx7vcvlUk5OjkaMGKHo6GiFhYUpOTlZycnJNdcsAAAIKA6LW5JXu5KSErlcLvl8Pk4XAkAAi56QVduH8KOseSqhtg%2BhVtXmz9%2BAPUUIAABQVxGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAADRgZk8AAAagklEQVQADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwLB6E7CmTJkih8OhMWPG2MtKS0s1atQotWjRQk2aNNHAgQO1d%2B9ev%2B12796tAQMGqEmTJmrRooVGjx6tsrIyv5olS5aoW7duatSokS6//HLNnDmzRnoCAACBqV4ErNWrV%2BuVV17Rtdde67d8zJgxyszM1Lx587R8%2BXIdOXJE/fv318mTJyVJJ0%2BeVL9%2B/XT06FEtX75c8%2BbN04IFCzRu3Dh7jB07dui2225Tr169tH79eo0fP16jR4/WggULarRHAAAQOIJq%2BwB%2BqiNHjujuu%2B/WrFmz9F//9V/2cp/Pp1dffVVvvPGG%2BvTpI0l688031aZNGy1evFjx8fHKzs7Wl19%2BqT179sjj8UiSnnvuOSUlJempp55SaGioZs6cqbZt22ratGmSpI4dO2rNmjVKS0vTnXfeWfMNAwCAOi/gZ7BGjBihfv362SGqwtq1a1VeXq64uDh7mcfjUadOnbRixQpJUm5urjp16mSHK0mKj49XaWmp1q5da9ecOUZFzZo1a1ReXl5dbQEAgAAW0DNY8%2BbN09q1a7VmzZpK6woLCxUcHKywsDC/5RERESosLLRrIiIi/NaHhYUpODj4B2siIiJ04sQJffvtt2rZsmWlfZeWlqq0tNR%2BXlJS8p81CAAAAlLAzmDt2bNHDz74oObOnatGjRpd8HaWZcnhcNjPz/z3hdZYlnXObaXTF9y7XC770aZNmws%2BPgAAEPgCNmCtXbtWRUVF6tatm4KCghQUFKQlS5bohRdeUFBQkCIiIlRWVqbi4mK/7YqKiuwZKbfbbc9UVSguLlZ5efkP1hQVFSkoKEjNmzev8thSUlLk8/nsx549e0y1DQAAAkDABqxbbrlFGzduVH5%2Bvv2Ijo7W3Xffbf%2B7YcOGysnJsbfZv3%2B/Nm3apJ49e0qSYmJitGnTJu3fv9%2Buyc7OltPpVLdu3eyaM8eoqKkYvypOp1OhoaF%2BDwAAcPEI2GuwmjZtqk6dOvkta9KkiZo3b24vHzJkiMaNG6fmzZurWbNmeuihh9S5c2f7gvi4uDhFRUXJ6/Xq2Wef1XfffaeHHnpIQ4cOtUPR8OHDlZGRoeTkZA0dOlS5ubl69dVX9fbbb9dswwAAIGAEbMC6EM8//7yCgoJ011136dixY7rllls0Z84cNWjQQJLUoEEDvf/%2B%2B3rggQd0ww03KCQkRImJiUpLS7PHiIyM1AcffKCxY8fqxRdflMfj0QsvvMAtGgAAwDk5rIortlFtSkpK5HK55PP5OF0IAAEsekJWbR/Cj7LmqYTaPoRaVZs/fwP2GiwAAIC6ioAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGBdX2AQAALl7RE7Jq%2BxCAasEMFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGBYwAasKVOm6Prrr1fTpk0VHh6uO%2B64Q1u2bPGrKS0t1ahRo9SiRQs1adJEAwcO1N69e/1qdu/erQEDBqhJkyZq0aKFRo8erbKyMr%2BaJUuWqFu3bmrUqJEuv/xyzZw5s9r7AwAAgStgA9aSJUs0YsQI5eXlKScnRydOnFBcXJyOHj1q14wZM0aZmZmaN2%2Beli9friNHjqh///46efKkJOnkyZPq16%2Bfjh49quXLl2vevHlasGCBxo0bZ4%2BxY8cO3XbbberVq5fWr1%2Bv8ePHa/To0VqwYEGN9wwAAAKDw7Isq7YPwoSDBw8qPDxcS5Ys0a9%2B9Sv5fD5ddtlleuONNzR48GBJUkFBgdq0aaMPPvhA8fHx%2BvDDD9W/f3/t2bNHHo9HkjRv3jwlJSWpqKhIoaGhevTRR7Vo0SJt3rzZ3tfw4cO1YcMG5ebmXtCxlZSUyOVyyefzKTQ01HzzABCguJN79VrzVEJtH0Ktqs2fvwE7g3U2n88nSWrWrJkkae3atSovL1dcXJxd4/F41KlTJ61YsUKSlJubq06dOtnhSpLi4%2BNVWlqqtWvX2jVnjlFRs2bNGpWXl1drTwAAIDDVi88itCxLycnJuvHGG9WpUydJUmFhoYKDgxUWFuZXGxERocLCQrsmIiLCb31YWJiCg4N/sCYiIkInTpzQt99%2Bq5YtW1Y6ntLSUpWWltrPS0pKfnqTAAAgYNSLGayRI0fq888/19tvv33eWsuy5HA47Odn/vtCayrOqla1rXT6AnyXy2U/2rRpc0F9AACA%2BiHgA9aoUaO0aNEiffrpp2rdurW93O12q6ysTMXFxX71RUVF9oyU2%2B22Z6oqFBcXq7y8/AdrioqKFBQUpObNm1d5TCkpKfL5fPZjz549P7lPAAAQOAI2YFmWpZEjR%2Bq9997TJ598osjISL/13bp1U8OGDZWTk2Mv279/vzZt2qSePXtKkmJiYrRp0ybt37/frsnOzpbT6VS3bt3smjPHqKiJjo5Ww4YNqzw2p9Op0NBQvwcAALh4BGzAGjFihN5880299dZbatq0qQoLC1VYWKhjx45Jklwul4YMGaJx48bp448/1vr163XPPfeoc%2BfO6tOnjyQpLi5OUVFR8nq9Wr9%2BvT7%2B%2BGM99NBDGjp0qB2Khg8frl27dik5OVmbN2/Wa6%2B9pldffVUPPfRQrfUOAADqtoANWDNmzJDP51Pv3r3VsmVL%2BzF//ny75vnnn9cdd9yhu%2B66SzfccIMaN26sf/3rX2rQoIEkqUGDBnr//ffVqFEj3XDDDbrrrrt0xx13KC0tzR4jMjJSH3zwgT777DP94he/0F//%2Ble98MILuvPOO2u8ZwAAEBjqzX2w6jLugwUAVeM%2BWNWL%2B2BxHywAAIB6g4AFAABgGAELAADAsHpxJ3cAAFBZIF3jVt%2BuF2MGCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWBfopZdeUmRkpBo1aqRu3bpp2bJltX1IAACgjiJgXYD58%2BdrzJgxmjBhgtavX69evXrp1ltv1e7du2v70AAAQB1EwLoA6enpGjJkiP74xz%2BqY8eOmjZtmtq0aaMZM2bU9qEBAIA6KKi2D6CuKysr09q1a/XYY4/5LY%2BLi9OKFSuq3Ka0tFSlpaX2c5/PJ0kqKSmpvgMFgP8TOzmntg8B%2BNGq42dkxZiWZRkf%2B3wIWOfx7bff6uTJk4qIiPBbHhERocLCwiq3mTJlip588slKy9u0aVMtxwgAQKBzPVd9Yx8%2BfFgul6v6dlAFAtYFcjgcfs8ty6q0rEJKSoqSk5Pt56dOndJ3332n5s2bn3Obn6qkpERt2rTRnj17FBoaWi37qGn1raf61o9ET4GgvvUj0VOgqAs9WZalw4cPy%2BPx1Pi%2BCVjn0aJFCzVo0KDSbFVRUVGlWa0KTqdTTqfTb9mll15abcd4ptDQ0HrzzVmhvvVU3/qR6CkQ1Ld%2BJHoKFLXdU03PXFXgIvfzCA4OVrdu3ZST439NQ05Ojnr27FlLRwUAAOoyZrAuQHJysrxer6KjoxUTE6NXXnlFu3fv1vDhw2v70AAAQB3UYNKkSZNq%2ByDquk6dOql58%2BZKTU1VWlqajh07pjfeeENdunSp7UPz06BBA/Xu3VtBQfUnN9e3nupbPxI9BYL61o9ET4GiPvZ0oRxWbfztIgAAQD3GNVgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIBVhyxdulQDBgyQx%2BORw%2BHQwoULK9Vs3rxZAwcOlMvlUtOmTdWjRw/t3r3bXl9YWCiv1yu3260mTZrouuuu0z/%2B8Q%2B/MYqLi%2BX1euVyueRyueT1enXo0KFa6cnhcFT5ePbZZyVJO3fu1JAhQxQZGamQkBBdccUV%2Bstf/qKysjK/cTZu3KjY2FiFhISoVatWmjx5crV89tRP7afC%2B%2B%2B/r%2B7duyskJEQtWrTQoEGD/Nbv3r1bAwYMUJMmTdSiRQuNHj26Us811dORI0c0cuRItW7dWiEhIerYsWOlDzovLS3VqFGj1KJFCzVp0kQDBw7U3r17A7qnCpZl6dZbb61ynJrqyUQ/gfbecODAASUlJcnj8ahx48ZKSEjQtm3b7PXfffedRo0apQ4dOqhx48Zq27atRo8ebX/2a4W69HV3vp4q5Obm6uabb1aTJk106aWXqnfv3jp27Ji9vqZepylTpuj6669X06ZNFR4erjvuuENbtmzxqzH1vb9kyRJ169ZNjRo10uWXX66ZM2ca76emEbDqkKNHj6pLly7KyMiocv0333yjG2%2B8UVdffbU%2B%2B%2BwzbdiwQY8//rgaNWpk13i9Xm3ZskWLFi3Sxo0bNWjQIA0ePFjr16%2B3axITE5Wfn6%2BsrCxlZWUpPz9fXq%2B3Vnrav3%2B/3%2BO1116Tw%2BHQnXfeKUn66quvdOrUKb388sv64osv9Pzzz2vmzJkaP368PUZJSYn69u0rj8ej1atXa/r06UpLS1N6enqd60eSFixYIK/Xq/vvv18bNmzQ//7v/yoxMdFef/LkSfXr109Hjx7V8uXLNW/ePC1YsEDjxo0z3s%2BF9DR27FhlZWXpzTff1ObNmzV27FiNGjVK//znP%2B2aMWPGKDMzU/PmzdPy5ct15MgR9e/fXydPngzYnipMmzatyo%2B4qsmeTPQTSO8NlmXpjjvu0Pbt2/XPf/5T69evV7t27dSnTx8dPXpUklRQUKCCggKlpaVp48aNmjNnjrKysjRkyBB7nLr0dXchPUmnw1VCQoLi4uK0atUqrV69WiNHjtQll/z/H9c19TotWbJEI0aMUF5ennJycnTixAnFxcX5Ha%2BJ7/0dO3botttuU69evbR%2B/XqNHz9eo0eP1oIFC4z3VKMs1EmSrMzMTL9lgwcPtu65554f3K5JkybWf//3f/sta9asmfX3v//dsizL%2BvLLLy1JVl5enr0%2BNzfXkmR99dVXho6%2BalX1dLbbb7/duvnmm3%2Bw5plnnrEiIyPt5y%2B99JLlcrms48eP28umTJlieTwe69SpUz/toH/Af9JPeXm51apVK/v1qMoHH3xgXXLJJda%2BffvsZW%2B//bbldDotn8/30w/8B1TV0zXXXGNNnjzZb9l1111nTZw40bIsyzp06JDVsGFDa968efb6ffv2WZdccomVlZVlWVbg9VQhPz/fat26tbV///5K49RWT/9pP4H03rBlyxZLkrVp0yZ72YkTJ6xmzZpZs2bNOuc477zzjhUcHGyVl5dbllW3vu4utKfu3btX%2Bjo8U22%2BTkVFRZYka8mSJZZlmfvef%2BSRR6yrr77ab1/Dhg2zevToUa39VDdmsALEqVOn9P777%2Buqq65SfHy8wsPD1b1790pT0DfeeKPmz5%2Bv7777TqdOndK8efNUWlqq3r17Szr925HL5VL37t3tbXr06CGXy6UVK1bUZEuVHDhwQO%2B//77fb6BV8fl8atasmf08NzdXsbGxfp//GB8fr4KCAu3cubO6Dve8qupn3bp12rdvny655BJ17dpVLVu21K233qovvvjCrsnNzVWnTp38Ppw0Pj5epaWlWrt2bY32IJ3%2Bmlq0aJH27dsny7L06aefauvWrYqPj5ckrV27VuXl5YqLi7O38Xg86tSpk/01FWg9SdL333%2Bv3//%2B98rIyJDb7a40Rl3q6UL6CaT3htLSUknym51v0KCBgoODtXz58nNu5/P5FBoaat/Usi69RhfSU1FRkVauXKnw8HD17NlTERERio2N9eu5Nl%2BnitOvFe%2B/pr73c3Nz/caoqFmzZo3Ky8urtafqRMAKEEVFRTpy5IiefvppJSQkKDs7W7/%2B9a81aNAgLVmyxK6bP3%2B%2BTpw4oebNm8vpdGrYsGHKzMzUFVdcIen0dRjh4eGVxg8PD6/0gdY17fXXX1fTpk0rXY90pm%2B%2B%2BUbTp0/3%2B5iiwsLCSh%2B8XfG8Nnuqqp/t27dLkiZNmqSJEyfqf/7nfxQWFqbY2Fh99913kqruJywsTMHBwbXSzwsvvKCoqCi1bt1awcHBSkhI0EsvvaQbb7zRPt7g4GCFhYX5bRcREWEfb6D1JJ0%2B7dazZ0/dfvvtVY5Rl3q6kH4C6b3h6quvVrt27ZSSkqLi4mKVlZXp6aefVmFhofbv31/lNv/%2B97/117/%2BVcOGDbOX1aXX6EJ6OvP9YejQocrKytJ1112nW265xb5Wq7ZeJ8uylJycrBtvvFGdOnWyj8XE9/653sNPnDihb7/9trpaqnYX373rA9SpU6ckSbfffrvGjh0rSfrFL36hFStWaObMmYqNjZUkTZw4UcXFxVq8eLFatGihhQsX6re//a2WLVumzp07S1KV15NYllXl8pr02muv6e677/b7De9MBQUFSkhI0G9/%2B1v98Y9/9Ft39rFb/3eBe232VFU/Fa/jhAkT7OuyZs%2BerdatW%2Bvdd9%2B1fzjUpdfohRdeUF5enhYtWqR27dpp6dKleuCBB9SyZUv16dPnnNudfbyB1NOiRYv0ySef%2BF2fVJW60tOFvEaB9N7QsGFDLViwQEOGDFGzZs3UoEED9enTR7feemuV9SUlJerXr5%2BioqL0l7/8xW9dIPVU8f4wbNgw3X///ZKkrl276uOPP9Zrr72mKVOmSKqdnkaOHKnPP//8B2cQz3UsF3K8dfE9/KciYAWIFi1aKCgoSFFRUX7LO3bsaH/Bf/PNN8rIyNCmTZt0zTXXSJK6dOmiZcuW6cUXX9TMmTPldrt14MCBSuMfPHiw0m8QNWnZsmXasmWL5s%2BfX%2BX6goIC3XTTTfaHbZ/J7XZX%2Bs2tqKhIkmqtp3P107JlS0nyex2dTqcuv/xy%2B69B3W63Vq5c6bddcXGxysvLa7yfY8eOafz48crMzFS/fv0kSddee63y8/OVlpamPn36yO12q6ysTMXFxX6/yRYVFalnz56SAq%2BnTz75RN98840uvfRSv23vvPNO9erVS5999lmd6elC%2BgnE94Zu3bopPz9fPp9PZWVluuyyy9S9e3dFR0f71R0%2BfFgJCQn62c9%2BpszMTDVs2NBeV1deowrn66mq9wfp9Pv8me8PNf06jRo1SosWLdLSpUvVunVre7mp7/1zvYcHBQWpefPm1dJTTeAUYYAIDg7W9ddfX%2BlPZLdu3ap27dpJOn3NiCS/vzaRTp/nr/jNKCYmRj6fT6tWrbLXr1y5Uj6fz/6GqA2vvvqqunXrVuUHaO/bt0%2B9e/fWddddp9mzZ1fqLyYmRkuXLvX7s9/s7Gx5PB61b9%2B%2Bug%2B9Sufqp1u3bnI6nX6vY3l5uXbu3Gm/jjExMdq0aZPfqZDs7Gw5nU5169atZho449jKy8t/8GuqW7duatiwoXJycuz1%2B/fv16ZNm%2ByvqUDr6bHHHtPnn3%2Bu/Px8%2ByFJzz//vGbPni2p7vR0If0E8nuDy%2BXSZZddpm3btmnNmjV%2Bp2xLSkoUFxen4OBgLVq0qNLsd115jc52rp7at28vj8fzg%2B/zNfk6WZalkSNH6r333tMnn3yiyMhIv/WmvvdjYmL8xqioiY6O9gvMAafGL6vHOR0%2BfNhav369tX79ekuSlZ6ebq1fv97atWuXZVmW9d5771kNGza0XnnlFWvbtm3W9OnTrQYNGljLli2zLMuyysrKrJ///OdWr169rJUrV1pff/21lZaWZjkcDuv999%2B395OQkGBde%2B21Vm5urpWbm2t17tzZ6t%2B/f630ZFmW5fP5rMaNG1szZsyotP2%2Bffusn//859bNN99s7d2719q/f7/9qHDo0CErIiLC%2Bv3vf29t3LjReu%2B996zQ0FArLS2tzvVjWZb14IMPWq1atbI%2B%2Bugj66uvvrKGDBlihYeHW999951lWaf/sqhTp07WLbfcYq1bt85avHix1bp1a2vkyJHG%2B7mQnmJjY61rrrnG%2BvTTT63t27dbs2fPtho1amS99NJL9hjDhw%2B3WrdubS1evNhat26ddfPNN1tdunSxTpw4EbA9nU1n/VVYTfb0U/sJxPeGd955x/r000%2Btb775xlq4cKHVrl07a9CgQfb2JSUlVvfu3a3OnTtbX3/9td97Q139ujtfT5ZlWc8//7wVGhpqvfvuu9a2bdusiRMnWo0aNbK%2B/vpru6amXqc///nPlsvlsj777DO//9/vv//erjHxvb99%2B3arcePG1tixY60vv/zSevXVV62GDRta//jHP4z3VJMIWHXIp59%2Bakmq9LjvvvvsmldffdX6%2Bc9/bjVq1Mjq0qWLtXDhQr8xtm7dag0aNMgKDw%2B3GjdubF177bWV/jT73//%2Bt3X33XdbTZs2tZo2bWrdfffdVnFxca319PLLL1shISHWoUOHKm0/e/bsKrc/%2B3eDzz//3OrVq5fldDott9ttTZo0qVpu0fBT%2B7Gs0z/sxo0bZ4WHh1tNmza1%2BvTp4/en25ZlWbt27bL69etnhYSEWM2aNbNGjhzpdxuKmuxp//79VlJSkuXxeKxGjRpZHTp0sJ577jm//99jx45ZI0eOtJo1a2aFhIRY/fv3t3bv3h3QPZ3t7IBVkz2Z6CfQ3hv%2B9re/Wa1bt7YaNmxotW3b1po4caJVWlp63u0lWTt27LDr6tLX3fl6qjBlyhSrdevWVuPGja2YmBj7l%2BgKNfU6nev/d/bs2XaNqe/9zz77zOratasVHBxstW/f/py/oAYSh2VVw%2B2uAQAALmJcgwUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwLD/B8difhXb%2BeJLAAAAAElFTkSuQmCC">
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_DayOfMonth">DayOfMonth<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="">
<th>Distinct count</th>
<td>32</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable7125761281416501150">
<table class="mini freq">
<tr class="">
<th>1</th>
<td>
<div class="bar" style="width:4%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 3.5%">
</div>
676
</td>
</tr><tr class="">
<th>2</th>
<td>
<div class="bar" style="width:4%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 3.5%">
</div>
671
</td>
</tr><tr class="">
<th>4</th>
<td>
<div class="bar" style="width:4%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 3.5%">
</div>
667
</td>
</tr><tr class="other">
<th>Other values (28)</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 89.5%">
17132
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable7125761281416501150, #minifreqtable7125761281416501150"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable7125761281416501150">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1</td>
<td class="number">676</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2</td>
<td class="number">671</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4</td>
<td class="number">667</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">8</td>
<td class="number">663</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5</td>
<td class="number">663</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">15</td>
<td class="number">653</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">18</td>
<td class="number">651</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">7</td>
<td class="number">649</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">25</td>
<td class="number">647</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6</td>
<td class="number">643</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (21)</td>
<td class="number">12563</td>
<td class="number">65.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_DayOfWeek">DayOfWeek<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="">
<th>Distinct count</th>
<td>8</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable-3699585812136041319">
<table class="mini freq">
<tr class="">
<th>Friday</th>
<td>
<div class="bar" style="width:27%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 14.8%">
2833
</div>
</td>
</tr><tr class="">
<th>Thursday</th>
<td>
<div class="bar" style="width:26%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 14.6%">
2799
</div>
</td>
</tr><tr class="">
<th>Tuesday</th>
<td>
<div class="bar" style="width:26%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 14.6%">
2788
</div>
</td>
</tr><tr class="other">
<th>Other values (4)</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 56.0%">
10726
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable-3699585812136041319, #minifreqtable-3699585812136041319"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable-3699585812136041319">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">Friday</td>
<td class="number">2833</td>
<td class="number">14.8%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Thursday</td>
<td class="number">2799</td>
<td class="number">14.6%</td>
<td>
<div class="bar" style="width:98%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Tuesday</td>
<td class="number">2788</td>
<td class="number">14.6%</td>
<td>
<div class="bar" style="width:98%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Saturday</td>
<td class="number">2753</td>
<td class="number">14.4%</td>
<td>
<div class="bar" style="width:97%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Wednesday</td>
<td class="number">2750</td>
<td class="number">14.4%</td>
<td>
<div class="bar" style="width:97%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Monday</td>
<td class="number">2617</td>
<td class="number">13.7%</td>
<td>
<div class="bar" style="width:92%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Sunday</td>
<td class="number">2606</td>
<td class="number">13.6%</td>
<td>
<div class="bar" style="width:92%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_ID">ID<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>18378</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>96.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>27299</td>
</tr>
<tr>
<th>Minimum</th>
<td>17936</td>
</tr>
<tr>
<th>Maximum</th>
<td>36765</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.0%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-7729312285078539350">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAc9JREFUeJzt1zGO2lAUhtFrNC24R3gXWUT2lDpl9pNFZBcgemylSBGcImGKTPJLRMwzTM4pQeg%2BS/eTed08z3M1djgcahiG1mN5cPv9vna7XdOZT02n/bJer6vq5wNvNpsljsADGcexhmF43puWFgmk67qqqtpsNgL5zbsPn6/%2BzZeP71/hJPfnsjctLRLIrf3LUrXQanGvff7/Jahb6Ja4g4zjWH3f1%2Bl0evEGuddl53q3CjHty2tbNZ0GD%2BZN/MXiPr2F%2B5Q3CAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCARPSwyd57mqqsZxfPHd929fWx%2BHO/Knnbh8dtmblhYJZJqmqqoahmGJ8dyx/tPfv5umqfq%2Bb3eYqurmBbI8n891PB5rvV5X13Wtx/Ng5nmuaZpqu93WatX2VrBIIPAoXNIhEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCH4AIIFccBHOvS8AAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-7729312285078539350,#minihistogram-7729312285078539350"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-7729312285078539350">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-7729312285078539350"
aria-controls="quantiles-7729312285078539350" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-7729312285078539350" aria-controls="histogram-7729312285078539350"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-7729312285078539350" aria-controls="common-7729312285078539350"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-7729312285078539350" aria-controls="extreme-7729312285078539350"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-7729312285078539350">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>17936</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>18887</td>
</tr>
<tr>
<th>Q1</th>
<td>22620</td>
</tr>
<tr>
<th>Median</th>
<td>27302</td>
</tr>
<tr>
<th>Q3</th>
<td>31979</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>35745</td>
</tr>
<tr>
<th>Maximum</th>
<td>36765</td>
</tr>
<tr>
<th>Range</th>
<td>18829</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>9358.5</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>5400.8</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.19784</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.1947</td>
</tr>
<tr>
<th>Mean</th>
<td>27299</td>
</tr>
<tr>
<th>MAD</th>
<td>4675.2</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.0072692</td>
</tr>
<tr>
<th>Sum</th>
<td>522660000</td>
</tr>
<tr>
<th>Variance</th>
<td>29169000</td>
</tr>
<tr>
<th>Memory size</th>
<td>149.7 KiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-7729312285078539350">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xt4VNW9//HPCMkQYjIGQjKJ3KIHEQy3BAtBLaA1Abkci9ZSaErURqhC5FYkcrSAB%2BIFL61UaxHRKgpahNKiaYJaLieJQCBChENBYwMl4WaYAIUkwPr94S/7MCQQrDsZZni/nmc/T2btNXuvb8ZtPqx9GYcxxggAAAC2ucLXAwAAAAg0BCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbNff1AC4HZ86c0b59%2BxQWFiaHw%2BHr4QAAcFkwxujo0aOKjY3VFVc07ZwSAasJ7Nu3T%2B3atfP1MAAAuCzt2bNHbdu2bdJ9ErCaQFhYmKRvPuDw8HAfjwYAgMtDZWWl2rVrZ/0dbkoErCZQe1owPDycgAUAQBPzxeU5XOQOAABgMwIWAACAzfw2YGVlZenGG29UWFiYoqKidOedd2rnzp1efaqqqjRhwgRFRkYqNDRUw4cP1969e736lJaWatiwYQoNDVVkZKQyMjJUXV3t1WfNmjVKTExUixYtdM011%2Bh3v/tdo9cHAAD8l98GrDVr1uihhx5SQUGBcnNzderUKSUnJ%2Bv48eNWn4kTJ2r58uVasmSJ1q9fr2PHjmno0KE6ffq0JOn06dMaMmSIjh8/rvXr12vJkiVatmyZpkyZYm2jpKREd9xxh2655RZt2bJFjz76qDIyMrRs2bImrxkAAPgHhzHG%2BHoQdjh48KCioqK0Zs0aff/735fH41GbNm305ptv6sc//rGk/3tcwgcffKCUlBR9%2BOGHGjp0qPbs2aPY2FhJ0pIlS5SWlqYDBw4oPDxcjzzyiFauXKkdO3ZY%2Bxo3bpw%2B%2B%2Bwz5efnX9TYKisr5XK55PF4uMgdAIAm4su/v347g3Uuj8cjSWrVqpUkqbCwUDU1NUpOTrb6xMbGKj4%2BXnl5eZKk/Px8xcfHW%2BFKklJSUlRVVaXCwkKrz9nbqO2zadMm1dTU1DuWqqoqVVZWei0AAODyERAByxijyZMn6%2Babb1Z8fLwkqby8XMHBwYqIiPDqGx0drfLycqtPdHS01/qIiAgFBwdfsE90dLROnTqlQ4cO1TuerKwsuVwua%2BEhowAAXF4CImCNHz9eW7du1TvvvNNgX2OM1/Mw6ns2RkN9as%2Bqnu%2B5GpmZmfJ4PNayZ8%2Bei6oDAAAEBr8PWBMmTNDKlSv1ySefeD0G3%2B12q7q6WhUVFV79Dxw4YM1Iud1ua6aqVkVFhWpqai7Y58CBA2revLlat25d75icTqf1UFEeLgoAwOXHbwOWMUbjx4/X%2B%2B%2B/r48//lhxcXFe6xMTExUUFKTc3FyrraysTMXFxerXr58kKSkpScXFxSorK7P65OTkyOl0KjEx0epz9jZq%2B/Tu3VtBQUGNVR4AAPBjfnsX4YMPPqi3335bf/rTn9S5c2er3eVyKSQkRJL0i1/8Qn/5y1/0%2Buuvq1WrVpo6daoOHz6swsJCNWvWTKdPn1bPnj0VHR2tZ555Rl9//bXS0tJ055136sUXX5T0zWMa4uPjNXbsWKWnpys/P1/jxo3TO%2B%2B8o7vuuuuixspdhAAAND1f/v3124B1vuufFi1apLS0NEnSyZMn9ctf/lJvv/22Tpw4odtuu00vvfSS10XnpaWlevDBB/Xxxx8rJCREo0aN0rx58%2BR0Oq0%2Ba9as0aRJk/T5558rNjZWjzzyiMaNG3fRYyVgAQDQ9AhYAY6ABfi33jOyfT2Eb2XTnEG%2BHgJwSeA5WAAAAAGkua8HAFyqmLUAAPy7mMECAACwGTNYQIDwpxk3ZtsABDpmsAAAAGzGDBaajD/NsAAA8F0QsAAgwPjTP2Y4XYxARcACAPiMP4VBf0SA9R0CFoAmxx9VAIGOgOXn%2BEMFAMClh7sIAQAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZnwXIQAAAcqfvq9205xBvh6CrZjBAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmfh2w1q5dq2HDhik2NlYOh0MrVqzwWu9wOOpdnnnmGatPx44d66yfPn2613ZKS0s1bNgwhYaGKjIyUhkZGaqurm6SGgEAgP/x6%2BdgHT9%2BXD169NC9996ru%2B66q876srIyr9cffvih7r///jp9Z8%2BerfT0dOv1lVdeaf18%2BvRpDRkyRG3atNH69et1%2BPBhjRkzRsYYvfjiizZXBAAAAoFfB6zBgwdr8ODB513vdru9Xv/pT3/SwIEDdc0113i1h4WF1elbKycnR9u3b9eePXsUGxsrSXr22WeVlpamOXPmKDw8/DtWAQAAAo1fnyL8Nvbv369Vq1bp/vvvr7PuqaeeUuvWrdWzZ0/NmTPH6/Rffn6%2B4uPjrXAlSSkpKaqqqlJhYWG9%2B6qqqlJlZaXXAgAALh9%2BPYP1bbzxxhsKCwvTiBEjvNoffvhhJSQkKCIiQhs2bFBmZqZKSkr06quvSpLKy8sVHR3t9Z6IiAgFBwervLy83n1lZWVp1qxZjVMIAAC45F02Aeu1117T6NGj1aJFC6/2SZMmWT93795dERERuvvuu61ZLembi%2BXPZYypt12SMjMzNXnyZOt1ZWWl2rVrZ0cZAADAD1wWAWvdunXauXOnli5d2mDfvn37SpJ2796t1q1by%2B1269NPP/XqU1FRoZqamjozW7WcTqecTud3HzgAAPBLl8U1WAsXLlRiYqJ69OjRYN8tW7ZIkmJiYiRJSUlJKi4u9rojMScnR06nU4mJiY0zYAAA4Nf8egbr2LFj2r17t/W6pKRERUVFatWqldq3by/pm9Nz7733np599tk678/Pz1dBQYEGDhwol8uljRs3atKkSRo%2BfLj1/uTkZHXt2lWpqal65pln9PXXX2vq1KlKT0/nDkIAAFAvvw5YmzZt0sCBA63Xtdc9jRkzRq%2B//rokacmSJTLG6Cc/%2BUmd9zudTi1dulSzZs1SVVWVOnTooPT0dE2bNs3q06xZM61atUoPPvigbrrpJoWEhGjUqFGaN29e4xYHAAD8lsMYY3w9iEBXWVkpl8slj8dj%2B6xX7xnZtm4PAABf2DRnkO3bbMy/vw25LK7BAgAAaEoELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGzm1wFr7dq1GjZsmGJjY%2BVwOLRixQqv9WlpaXI4HF5L3759vfpUVVVpwoQJioyMVGhoqIYPH669e/d69SktLdWwYcMUGhqqyMhIZWRkqLq6utHrAwAA/smvA9bx48fVo0cPzZ8//7x9Bg0apLKyMmv54IMPvNZPnDhRy5cv15IlS7R%2B/XodO3ZMQ4cO1enTpyVJp0%2Bf1pAhQ3T8%2BHGtX79eS5Ys0bJlyzRlypRGrQ0AAPiv5r4ewHcxePBgDR48%2BIJ9nE6n3G53ves8Ho8WLlyoN998Uz/4wQ8kSW%2B99ZbatWun1atXKyUlRTk5Odq%2Bfbv27Nmj2NhYSdKzzz6rtLQ0zZkzR%2BHh4fYWBQAA/J5fz2BdjL/97W%2BKiorSddddp/T0dB04cMBaV1hYqJqaGiUnJ1ttsbGxio%2BPV15eniQpPz9f8fHxVriSpJSUFFVVVamwsLDpCgEAAH7Dr2ewGjJ48GD96Ec/UocOHVRSUqLHHntMt956qwoLC%2BV0OlVeXq7g4GBFRER4vS86Olrl5eWSpPLyckVHR3utj4iIUHBwsNXnXFVVVaqqqrJeV1ZW2lwZAAC4lAV0wPrxj39s/RwfH6/evXurQ4cOWrVqlUaMGHHe9xlj5HA4rNdn/3y%2BPmfLysrSrFmzvsPIAQCAPwv4U4Rni4mJUYcOHbRr1y5JktvtVnV1tSoqKrz6HThwwJq1crvddWaqKioqVFNTU2dmq1ZmZqY8Ho%2B17NmzpxGqAQAAl6rLKmAdPnxYe/bsUUxMjCQpMTFRQUFBys3NtfqUlZWpuLhY/fr1kyQlJSWpuLhYZWVlVp%2BcnBw5nU4lJibWux%2Bn06nw8HCvBQAAXD78%2BhThsWPHtHv3but1SUmJioqK1KpVK7Vq1UozZ87UXXfdpZiYGH311Vd69NFHFRkZqR/%2B8IeSJJfLpfvvv19TpkxR69at1apVK02dOlXdunWz7ipMTk5W165dlZqaqmeeeUZff/21pk6dqvT0dIITAACol18HrE2bNmngwIHW68mTJ0uSxowZo5dfflnbtm3TH/7wBx05ckQxMTEaOHCgli5dqrCwMOs9zz//vJo3b6577rlHJ06c0G233abXX39dzZo1kyQ1a9ZMq1at0oMPPqibbrpJISEhGjVqlObNm9e0xQIAAL/hMMYYXw8i0FVWVsrlcsnj8dg%2B69V7Rrat2wMAwBc2zRlk%2BzYb8%2B9vQy6ra7AAAACaAgELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbObXAWvt2rUaNmyYYmNj5XA4tGLFCmtdTU2NHnnkEXXr1k2hoaGKjY3Vz372M%2B3bt89rGx07dpTD4fBapk%2Bf7tWntLRUw4YNU2hoqCIjI5WRkaHq6uomqREAAPif5r4ewHdx/Phx9ejRQ/fee6/uuusur3X/%2Bte/tHnzZj322GPq0aOHKioqNHHiRA0fPlybNm3y6jt79mylp6dbr6%2B88krr59OnT2vIkCFq06aN1q9fr8OHD2vMmDEyxujFF19s3AIBAIBf8uuANXjwYA0ePLjedS6XS7m5uV5tL774or73ve%2BptLRU7du3t9rDwsLkdrvr3U5OTo62b9%2BuPXv2KDY2VpL07LPPKi0tTXPmzFF4eLhN1QAAgEDh16cIvy2PxyOHw6GrrrrKq/2pp55S69at1bNnT82ZM8fr9F9%2Bfr7i4%2BOtcCVJKSkpqqqqUmFhYZONHQAA%2BA%2B/nsH6Nk6ePKnp06dr1KhRXrNODz/8sBISEhQREaENGzYoMzNTJSUlevXVVyVJ5eXlio6O9tpWRESEgoODVV5eXu%2B%2BqqqqVFVVZb2urKxshIoAAMClyicB66233tLdd9%2BtFi1aNMn%2BampqNHLkSJ05c0YvvfSS17pJkyZZP3fv3l0RERG6%2B%2B67rVktSXI4HHW2aYypt12SsrKyNGvWLBsrAAAA/sQnpwgnT54st9utsWPHasOGDY26r5qaGt1zzz0qKSlRbm5ug9dM9e3bV5K0e/duSZLb7a4zU1VRUaGampo6M1u1MjMz5fF4rGXPnj02VAIAAPyFTwLWvn379Nprr6msrEw333yzbrjhBj377LM6ePCgrfupDVe7du3S6tWrrRmpC9myZYskKSYmRpKUlJSk4uJilZWVWX1ycnLkdDqVmJhY7zacTqfCw8O9FgAAcPnwScBq3ry5RowYoZUrV6q0tFRjxozRa6%2B9prZt22rEiBFatWqVjDENbufYsWMqKipSUVGRJKmkpERFRUUqLS3VqVOndPfdd2vTpk1avHixTp8%2BrfLycpWXl1sXsefn5%2Bv5559XUVGRSkpK9O6772rs2LEaPny4dZdhcnKyunbtqtTUVG3ZskUfffSRpk6dqvT0dIITAACol8/vInS73brttts0YMAAORwObdq0SaNGjVKnTp20bt26C75306ZN6tWrl3r16iXpm1OPvXr10uOPP669e/dq5cqV2rt3r3r27KmYmBhrycvLk/TNTNPSpUs1YMAAde3aVY8//rjS09P1zjvvWPto1qyZVq1apRYtWuimm27SPffcozvvvFPz5s1rvF8KAADwaz67i/DQoUN66623tGjRIu3cuVPDhg3TihUrlJKSouPHj%2Bu//uu/9LOf/UwlJSXn3caAAQMuONPV0CxYQkKCCgoKGhxr%2B/bt9Ze//KXBfgAAAJKPAtYPf/hDffDBB4qLi9PPf/5zjRkzRm3atLHWX3nllZo2bZp%2B85vf%2BGJ4AAAA34lPAlZ4eLhWr16tW2655bx9YmJitGvXriYcFQAAgD18ErDeeOONBvs4HA5de%2B21TTAaAAAAe/nkIvdJkyZp/vz5ddp/%2B9vfasqUKT4YEQAAgH18ErDee%2B8964GeZ0tKStLSpUt9MCIAAAD7%2BCRgHTp0SBEREXXaw8PDdejQIR%2BMCAAAwD4%2BCVjXXnut/vrXv9Zp/%2Btf/6q4uDgfjAgAAMA%2BPrnIfeLEiZo4caIOHz6sW2%2B9VZL00Ucf6emnn%2BYBngAAwO/5JGClp6fr5MmTmjt3rn71q19Jktq2bavf/OY3uu%2B%2B%2B3wxJAAAANv47EnuEyZM0IQJE1RWVqaQkBBdddVVvhoKAACArXwWsGrFxMT4eggAAAC28slF7gcPHtS9996r9u3bq0WLFgoODvZaAAAA/JlPZrDS0tL0xRdf6Je//KViYmLkcDh8MQwAAIBG4ZOAtXbtWq1du1a9evXyxe4BAAAalU9OEbZt25ZZKwAAELB8ErCef/55ZWZmau/evb7YPQAAQKPyySnC1NRUHT16VB06dFB4eLiCgoK81h84cMAXwwIAALCFTwLWk08%2B6YvdAgAANAmfBKz777/fF7sFAABoEj65BkuSvvrqK82cOVOpqanWKcGcnBzt2LHDV0MCAACwhU8C1rp163TDDTdozZo1evfdd3Xs2DFJ0ubNm/X444/7YkgAAAC28UnAeuSRRzRz5kx98sknXk9uv/XWW1VQUOCLIQEAANjGJwFr69atuvvuu%2Bu0R0VF6eDBgz4YEQAAgH18ErCuuuoqlZeX12kvKirS1Vdf7YMRAQAA2McnAWvkyJGaPn26Dh48aD3R/dNPP9XUqVP105/%2B1BdDAgAAsI1PAtbcuXPldrsVExOjY8eOqWvXrurXr59uvPFGPfbYY74YEgAAgG188hys4OBgLV26VH//%2B9%2B1efNmnTlzRgkJCbr%2B%2But9MRwAAABb%2BSRg1bruuut03XXX%2BXIIAAAAtvPJKcIHHnjggsvFWrt2rYYNG6bY2Fg5HA6tWLHCa70xRjNnzlRsbKxCQkI0YMAAff755159KioqlJqaKpfLJZfLpdTUVB05csSrz7Zt29S/f3%2BFhITo6quv1uzZs2WM%2Bfd/AQAAIKD5JGCVlZV5LaWlpfrwww/17rvv1nt34fkcP35cPXr00Pz58%2Btd//TTT%2Bu5557T/PnztXHjRrndbt1%2B%2B%2B06evSo1WfUqFEqKipSdna2srOzVVRUpNTUVGt9ZWWlbr/9dsXGxmrjxo168cUXNW/ePD333HP//i8AAAAENJ%2BcIvzzn/9cp%2B3UqVP6xS9%2BoS5dulz0dgYPHqzBgwfXu84YoxdeeEEzZszQiBEjJElvvPGGoqOj9fbbb2vs2LHasWOHsrOzVVBQoD59%2BkiSFixYoKSkJO3cuVOdO3fW4sWLdfLkSb3%2B%2ButyOp2Kj4/X3//%2Bdz333HOaPHmydRckAABALZ99F%2BG5mjdvrqlTp%2BqZZ56xZXslJSUqLy9XcnKy1eZ0OtW/f3/l5eVJkvLz8%2BVyuaxwJUl9%2B/aVy%2BXy6tO/f385nU6rT0pKivbt26evvvrKlrECAIDAcskELEn68ssvVVNTY8u2ak81RkdHe7VHR0db68rLyxUVFVXnvVFRUV596tvG2fs4V1VVlSorK70WAABw%2BfDJKcJp06Z5vTbGqKysTCtXrtTo0aNt3de5p/CMMV5t9Z3ia6hP7QXu5zs9mJWVpVmzZv3bYwYAAP7NJwErPz/f6/UVV1yhNm3a6Mknn1R6erot%2B3C73ZK%2BmWWKiYmx2g8cOGDNQLndbu3fv7/Oew8ePOjV59yZqgMHDkiqOztWKzMzU5MnT7ZeV1ZWql27dt%2BhGgAA4E98ErDWrVvX6PuIi4uT2%2B1Wbm6uevXqJUmqrq7WmjVr9NRTT0mSkpKS5PF4tGHDBn3ve9%2BT9M1X9ng8HvXr18/q8%2Bijj6q6ulrBwcGSpJycHMXGxqpjx4717tvpdHpdswUAAC4vl9Q1WN/WsWPHVFRUpKKiIknfXNheVFSk0tJSORwOTZw4UXPnztXy5ctVXFystLQ0tWzZUqNGjZIkdenSRYMGDVJ6eroKCgpUUFCg9PR0DR06VJ07d5b0zWMcnE6n0tLSVFxcrOXLl2vu3LncQQgAAM7LJzNYN95440WHkw0bNpx33aZNmzRw4EDrde1puTFjxuj111/XtGnTdOLECT344IOqqKhQnz59lJOTo7CwMOs9ixcvVkZGhnW34fDhw72eq%2BVyuZSbm6uHHnpIvXv3VkREhCZPnux1ChAAAOBsDuODR5JPmzZNr7zyiq677jolJSVJkgoKCrRz506NHTvW6/TaE0880dTDs11lZaVcLpc8Ho/Cw8Nt3XbvGdm2bg8AAF/YNGeQ7dtszL%2B/DfHJDNaRI0f00EMPae7cuV7tM2bM0P79%2B/Xqq6/6YlgAAAC28Mk1WO%2B%2B%2B67uvffeOu1paWl67733fDAiAAAA%2B/gkYDmdTutJ6WfLy8vj7jsAAOD3fHKKMCMjQ%2BPGjdOWLVvUt29fSd9cg7VgwQI9%2BuijvhgSAACAbXwSsGbMmKG4uDj9%2Bte/1muvvSbpm0cmLFiwwHqEAgAAgL/yScCSvnm%2BFGEKAAAEIp89aLSyslKvv/66Hn/8cVVUVEiSPvvsM5WVlflqSAAAALbwyQxWcXGxfvCDH6hly5bas2eP0tLSFBERoXfffVd79%2B7VG2%2B84YthAQAA2MInM1iTJk3SqFGj9MUXX6hFixZW%2B5AhQ7R27VpfDAkAAMA2PpnB2rhxo15%2B%2BeU6X5dz9dVXc4oQAAD4PZ/MYAUHB%2BvYsWN12nft2qXIyEgfjAgAAMA%2BPglYw4cP1xNPPKFTp05JkhwOh/75z39q%2BvTpGjFihC%2BGBAAAYBufBKxnn31W%2B/btk9vt1okTJ3TrrbfqmmuuUYsWLep8PyEAAIC/8ck1WC6XS3l5ecrNzdXmzZt15swZJSQkKCUlpc51WQAAAP6myQNWTU2N7rjjDr300ktKTk5WcnJyUw8BAACgUTX5KcKgoCBt2bKFmSoAABCwfHIN1k9/%2BlMtWrTIF7sGAABodD77LsL58%2Bdr9erV6t27t0JDQ73WPf300z4aFQAAwHfnk4BVWFio7t27S5K2bt3qtY5ThwAAwN81acD68ssvFRcXp3Xr1jXlbgEAAJpUk16D1alTJx08eNB6/eMf/1j79%2B9vyiEAAAA0uiYNWMYYr9cffPCBjh8/3pRDAAAAaHQ%2BuYsQAAAgkDVpwHI4HHUuYueidgAAEGia9CJ3Y4zS0tLkdDolSSdPntS4cePqPKbh/fffb8phAQAA2KpJA9aYMWO8Xv/0pz9tyt0DAAA0iSYNWDy9HQAAXA64yB0AAMBmAR2wOnbsaF1Yf/by0EMPSZIGDBhQZ93IkSO9tlFRUaHU1FS5XC65XC6lpqbqyJEjvigHAAD4CZ99F2FT2Lhxo06fPm29Li4u1u23364f/ehHVlt6erpmz55tvQ4JCfHaxqhRo7R3715lZ2dLkh544AGlpqbqz3/%2BcyOPHgAA%2BKuADlht2rTxev3kk0/q2muvVf/%2B/a22li1byu121/v%2BHTt2KDs7WwUFBerTp48kacGCBUpKStLOnTvVuXPnxhs8AADwWwF9ivBs1dXVeuutt3Tfffd5PXtr8eLFioyM1A033KCpU6fq6NGj1rr8/Hy5XC4rXElS37595XK5lJeXd959VVVVqbKy0msBAACXj4CewTrbihUrdOTIEaWlpVlto0ePVlxcnNxut4qLi5WZmanPPvtMubm5kqTy8nJFRUXV2VZUVJTKy8vPu6%2BsrCzNmjXL9hoAAIB/uGwC1sKFCzV48GDFxsZabenp6dbP8fHx6tSpk3r37q3NmzcrISFBUv1PmjfGXPAJ9JmZmZo8ebL1urKyUu3atbOjDAAA4Acui4D1j3/8Q6tXr27wCfEJCQkKCgrSrl27lJCQILfbrf3799fpd/DgQUVHR593O06n03paPQAAuPxcFtdgLVq0SFFRURoyZMgF%2B33%2B%2BeeqqalRTEyMJCkpKUkej0cbNmyw%2Bnz66afyeDzq169fo44ZAAD4r4CfwTpz5owWLVqkMWPGqHnz/yv3iy%2B%2B0OLFi3XHHXcoMjJS27dv15QpU9SrVy/ddNNNkqQuXbpo0KBBSk9P1yuvvCLpm8c0DB06lDsIAQDAeQX8DNbq1atVWlqq%2B%2B67z6s9ODhYH330kVJSUtS5c2dlZGQoOTlZq1evVrNmzax%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%2B%2BaUkqaSkROXl5UpOTrb6Op1O9e/fX3l5eZKk/Px8uVwuK1xJUt%2B%2BfeVyuaw%2B9amqqlJlZaXXAgAALh8BHbD69OmjP/zhD/rrX/%2BqBQsWqLy8XP369dPhw4dVXl4uSYqOjvZ6T3R0tLWuvLxcUVFRdbYbFRVl9alPVlaWdc2Wy%2BVSu3btbKwKAABc6gI6YA0ePFh33XWXunXrph/84AdatWqVpG9OBdZyOBxe7zHGeLWdu76%2BPufKzMyUx%2BOxlj179nzXUgAAgB8J6IB1rtDQUHXr1k27du2yrss6dybqwIED1qyW2%2B3W/v3762zn4MGDdWa%2BzuZ0OhUeHu61AACAy8dlFbCqqqq0Y8cOxcTEKC4uTm63W7m5udb66upqrVmzRv369ZMkJSUlyePxaMOGDVafTz/9VB6Px%2BoDAABwroC%2Bi3Dq1KkaNmyY2rdvrwMHDui///u/VVlZqTFjxsjhcGjixImaO3euOnXqpE6dOmnu3Llq2bKlRo0aJUnq0qWLBg0apPT0dL3yyiuSpAceeEBDhw7lDkIAAHBeAR2w9u7dq5/85Cc6dOiQ2rRpo759%2B6qgoEAdOnSQJE2bNk0nTpzQgw8%2BqIqKCvXp00c5OTkKCwuztrF48WJlZGRYdxsOHz5c8%2BfP90k9AADAPziMMcbXgwh0lZWVcrlc8ng8tl%2BP1XtGtq3bAwDAFzbNGWT7Nhvz729DLqtrsAAAAJoCAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsFtABKysrSzfeeKPCwsIUFRWlO%2B%2B8Uzt37vTqM2DAADkcDq9l5MiRXn0qKiqUmpoql8sll8ul1NRUHTlypClLAQAAfiSgA9aaNWv00EMPqaCgQLm5uTp16pSSk5N1/Phxr37p6ekqKyuzlldeecVr/ahRo1RUVKTs7GxlZ2erqKhIqampTVkKAADwI819PYDGlJ2d7fV60aJFioqKUmFhob7//e9b7S1btpTb7a53Gzt27FB2drYKCgrUp08fSdKCBQuUlJSknTt3qnPnzo1XAAAA8EsBPYN1Lo/HI0lq1aqVV/vixYsVGRmpG264QVOnTtXRo0etdfn5%2BXK5XFa4kqS%2BffvK5XIpLy%2Bv3v1UVVWpsrLSawEAAJePgJ7BOpsxRpMnT9bNN9%2Bs%2BPh4q3306NGKi4uT2%2B1WcXGxMjMz9dlnnyk3N1eSVF5erqioqDrbi4qKUnl5eb37ysrK0qxZsxqnEAAAcMm7bALW%2BPHjtXXrVq1fv96rPT093fo5Pj5enTp1Uu/evbV582YlJCRIkhwOR53tGWPqbZekzMxMTZ482XpdWVmpdu3a2VEGAADwA5dFwJowYYJWrlyptWvXqm3bthfsm5CQoKCgIO3atUsJCQlyu93av39/nX4HDx5UdHR0vdtwOp1yOp22jB0AAPifgL4Gyxij8ePH6/3339fHH3%2BsuLi4Bt/z%2Beefq6amRjExMZKkpKQkeTwebdiwwerz6aefyuPxqF%2B/fo02dgAA4L8CegbroYce0ttvv60//elPCgsLs66ZcrlcCgkJ0RdffKHFixfrjjvuUGRkpLZv364pU6aoV69euummmyRJXbp00aBBg5Senm49vuGBBx7Q0KFDuYMQAADUK6BnsF5%2B%2BWV5PB4NGDBAMTEx1rJ06VJJUnBwsD766COlpKSoc%2BfOysjIUHJyslavXq1mzZpZ21m8eLG6deum5ORkJScnq3v37nrzzTd9VRYAALjEBfQMljHmguvbtWunNWvWNLidVq1a6a233rJrWAAAIMAF9AwWAACALxCwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYErIv00ksvKS4uTi1atFBiYqLWrVvn6yEBAIBLFAHrIixdulQTJ07UjBkztGXLFt1yyy0aPHiwSktLfT00AABwCSJgXYTnnntO999/v37%2B85%2BrS5cueuGFF9SuXTu9/PLLvh4aAAC4BDX39QAuddXV1SosLNT06dO92pOTk5WXl1fve6qqqlRVVWW99ng8kqTKykrbx3e66rjt2wQAoKk1xt/I2m0aY2zfdkMIWA04dOiQTp8%2BrejoaK/26OholZeX1/uerKwszZo1q057u3btGmWMAAD4O9ezjbfto0ePyuVyNd4O6kHAukgOh8PrtTGmTlutzMxMTZ482Xp95swZff3112rduvV533O2yspKtWvXTnv27FF4ePh3G/gljDoDy%2BVQ5%2BVQo0SdgeZyrtMYo6NHjyo2NrbJx0PAakBkZKSaNWtWZ7bqwIEDdWa1ajmdTjmdTq%2B2q6666lvvOzw8PKAPhlrUGVguhzovhxol6gw0l2udTT1zVYuL3BsQHBysxMRE5ebmerXn5uaqX79%2BPhoVAAC4lDGDdREmT56s1NRU9e7dW0lJSfr973%2Bv0tJSjRs3ztdDAwAAl6BmM2fOnOnrQVzq4uPj1bp1a82dO1fz5s3TiRMn9Oabb6pHjx6Nts9mzZppwIABat48sDMwdQaWy6HOy6FGiToDDXU2PYfxxb2LAAAAAYxrsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbBssHbtWg0bNkyxsbFyOBxasWKF13qHw1Hv8swzz1h9OnbsWGf9ud9/WFpaqmHDhik0NFSRkZHKyMhQdXW1V581a9YoMTFRLVq00DXXXKPf/e53ttWZlZWlG2%2B8UWFhYYqKitKdd96pnTt3evWpqqrShAkTFBkZqdDQUA0fPlx79%2B5tlDpeeuklxcXFqUWLFkpMTNS6deuapM6vv/5aEyZMUOfOndWyZUu1b99eGRkZ1ndO1qrvMz%2B3jm3btql///4KCQnR1VdfrdmzZ9f5zqxly5apa9eucjqd6tq1q5YvX94kdUrSgAED6tQwcuRIrz4VFRVKTU2Vy%2BWSy%2BVSamqqjhw54jd1fvXVV%2Bc9Rt977z2r36X%2Beb788svq3r279ZDFpKQkffjhh9b6QDg2L1RjoByXDdUpBcZx2VCdAXFcGnxnH3zwgZkxY4ZZtmyZkWSWL1/utb6srMxree2114zD4TBffPGF1adDhw5m9uzZXv2OHj1qrT916pSJj483AwcONJs3bza5ubkmNjbWjB8/3urz5ZdfmpYtW5qHH37YbN%2B%2B3SxYsMAEBQWZP/7xj7bUmZKSYhYtWmSKi4tNUVGRGTJkiGnfvr05duyY1WfcuHHm6quvNrm5uWbz5s1m4MCBpkePHubUqVO21rFkyRITFBRkFixYYLZv324efvhhExoaav7xj380ep3btm0zI0aMMCtXrjS7d%2B82H330kenUqZO56667vLYjySxatMjrM/3Xv/5lrfd4PCY6OtqMHDnSbNu2zSxbtsyEhYWZefPmWX3y8vJMs2bNzNy5c82OHTvM3LlzTfPmzU1BQUGj12mMMf379zfp6eleNRw5csRrO4MGDTLx8fEmLy/P5OXlmfj4eDN06FC/qfPUqVN1jtFZs2aZ0NBQr2PwUv88V65caVatWmV27txpdu7caR599FETFBRkiouLjTGBcWxeqMZAOS4bqtOYwDguG6ozEI5LApbN6gtY5/rP//xPc%2Butt3q1dejQwTz//PPnfc8HH3xgrrjiCvPPf/7TanvnnXeM0%2Bk0Ho/HGGPMtGnTzPXXX%2B/1vrFjx5q%2Bfft%2B2zIuyoEDB4wks2bNGmOMMUeOHDFBQUFmyZIlVp9//vOf5oorrjDZ2dm21vG9733PjBs3zqvP9ddfb6ZPn25vkaZunfV59913TXBwsKmpqbHaGvpv4aWXXjIul8ucPHnSasvKyjKxsbHmzJkzxhhj7rnnHjNo0CCv96WkpJiRI0f%2Bu%2BWcV3119u/f3zz88MPnfc/27duNJK//EeXn5xtJ5n//93%2BNMf5R57l69uxp7rvvPq82f/s8jTEmIiLCvPrqqwF7bBrzfzXWJxCOy1pn1xmIx2WtC32e/nZccoqwie3fv1%2BrVq3S/fffX2fdU089pdatW6tnz56aM2eO19R8fn6%2B4uPjvb6wMiUlRVVVVSosLLT6JCcne20zJSVFmzZtUk1Nje211E69t2rVSpJUWFiompoarzHExsYqPj5eeXl5ttVRXV2twsLCOn2Sk5Ot/TRmnefrEx4eXufhduPHj1dkZKRuvPFG/e53v9OZM2esdfn5%2Berfv7/X91ampKRo3759%2Buqrr6w%2B9f0umrLOxYsXKzIyUjfccIOmTp2qo0ePetXgcrnUp08fq61v375yuVxen7k/1FmrsLBQRUVF9R6j/vJ5nj59WkuWLNHx48eVlJQUkMfmuTXWJxCOy/PVGWjHZUOfpz8el75/1Oll5o033lBYWJhGjBjh1f7www8rISFBERER2rBhgzIzM1VSUqJXX31VklReXl7ny6UjIiIUHBxsfRF1fX2io6N16tQpHTp0SDExMbbVYYzR5MmTdfPNNys%2BPt7af3BwsCIiIuqM4UJj/LZ1GGN0%2BvTpevuc%2B6XcjVHnuQ4fPqwnnnhCY8eO9Wp/4okndNtttykkJEQfffSRpkyZokOHDum//uu/JH1TZ8eOHevUULsuLi7uvL%2BLpqpz9OjRiouLk9vtVnFxsTIzM/XZZ59Z381ZXl6uqKioOtuLiory%2Bjwv9TrPtnDhQnXp0qXOd436w%2Be5bds2JSUl6eTJk7ryyiu1fPlyde3aVUVFRQFzbJ6vxnP5%2B3F5oToD6bi82M/TH49LAlYTe%2B211zR69Gi1aNHCq33SpEnWz927d1dERITuvvtua1ZL%2BuZivnMZY7zaz%2B1j/v%2BFfPW997sYP368tm7dqvXr1zfYt6ExXkyfs%2Bs4X03nbsMODdVZWVmpIUOGqGvXrvrVr37lta72AJeknj17SpJmz57t1X4xn5cv60xPT7d%2Bjo%2BPV6dOndS7d29t3rxZCQkJ9Y6vvjFe6nXWOnHihN5%2B%2B2099thjddb5w%2BfZuXNnFRUV6ciRI1q2bJnGjBmjNWvWnLe/Px6b56vx7D/KgXBcXqjOQDouL%2Bbz9NfjklOETWjdunXauXOnfv7znzfYt2/fvpKk3bt3S5LcbnedNF1RUaGamhoredfX58CBA2revLkV0uwwYcIErVy5Up988onatm1rtbvdblVXV6uioqLOGC40xm9bR2RkpJo1a1Zvn3P/FdIYddY6evSoBg0aZP2rKygo6ILb69u3ryorK7V//35J569TUoO/i6as82wJCQkKCgrSrl27rPHV1nO2gwcPNliDdOnV%2Bcc//lH/%2Bte/9LOf/azB7V2Kn2dwcLD%2B4z/%2BQ71791ZWVpZ69OihX//61wF1bJ6vxlqBclw2VOfZ/Pm4vJg6/fW4JGA1oYULFyoxMfGiviR6y5YtkmSd1ktKSlJxcbHKysqsPjk5OXI6nUpMTLT61E4Rn92nd%2B/eDf5P5mIYYzR%2B/Hi9//77%2BvjjjxUXF%2Be1PjExUUFBQV5jKCsrU3FxsTWta0cdwcHBSkxMrNMnNze3zvRxY9QpffMv5OTkZAUHB2vlypV1ZiTrs2XLFrVo0UJXXXWVpG/qXLt2rde1djk5OYqNjbWmtM/3u2iqOs/1%2Beefq6amxuu/S4/How0bNlh9Pv30U3k8Hq/P3F/qXLhwoYYPH642bdo0uN1L7fOsjzFGVVVVAXNsXqhGKTCOy/M5u85z%2BeNxeT711em3x%2BV3ukQexhhjjh49arZs2WK2bNliJJnnnnvObNmyxeu2ZI/HY1q2bGlefvnlOu/Py8uz3vPll1%2BapUuXmtjYWDN8%2BHCrT%2B0t1LfddpvZvHmzWb16tWnbtm29t1BPmjTJbN%2B%2B3SxcuNDWxzT84he/MC6Xy/ztb3877y2x48aNM23btjWrV682mzdvNrfeemu9t4J/1zpqbwVfuHCh2b59u5k4caIJDQ01X331VaPXWVlZafr06WO6detmdu/e7dWnts6VK1ea3//%2B92bbtm1m9%2B7dZsGCBSY8PNxkZGRY%2Bzly5IiJjo42P/nJT8y2bdvM%2B%2B%2B/b8LDw71uH/6f//kf06xZM/Pkk0%2BaHTt2mCeffNK226QbqnP37t1m1qxZZuPGjaakpMSsWrXKXH/99aZXr15WncZ8czt49%2B7dTX5%2BvsnPzzfdunXzuh38Uq%2Bz1q5du4zD4TAffvhhnW34w%2BeZmZlp1q5da0pKSszWrVvNo48%2Baq644gqTk5NjjAmMY/NCNQbKcdlQnYFyXDZUZy1/Pi4JWDb45JNPjKQ6y5gxY6w%2Br7zyigkJCanzrBJjjCksLDR9%2BvQxLpfLtGjRwnTu3Nn86le/MsePH/fq949//MMMGTLEhISEmFatWpnx48d73XpqjDF/%2B9vfTK9evUxwcLDp2LFjvYHu31Vfjfr/zyCpdeLECTN%2B/HjTqlUrExISYoYOHWpKS0sbpY7f/va3pkOHDiY4ONgkJCRc8LZ7O%2Bs83%2BctyZSUlBhjjPnwww9Nz549zZVXXmlatmxp4uPjzQsvvOB1u7gxxmzdutXccsstxul0GrfbbWbOnGndOlzrvffeM507dzZBQUHm%2BuuvN8uWLWuSOktLS833v/9906pVKxMcHGyuvfZak5GRYQ4fPuy1ncOHD5vRo0ebsLAwExYWZkaPHm0qKir8ps5amZmZpm3btub06dN1tuEPn%2Bd9991nHQ9t2rQxt912m9cfqkA4Ni9UY6Aclw3VGSjHZUN11vLn49JhzDmPMwUAAMB3wjVYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANjs/wHyx9AmTt0y0AAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-7729312285078539350">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">29210.0</td>
<td class="number">5</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">25497.0</td>
<td class="number">5</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">32932.0</td>
<td class="number">4</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">29290.0</td>
<td class="number">4</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">20446.0</td>
<td class="number">4</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">28682.0</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">32067.0</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">31640.0</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">32472.0</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">18867.0</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (18367)</td>
<td class="number">19109</td>
<td class="number">99.8%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-7729312285078539350">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">17936.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">17937.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">17938.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">17939.0</td>
<td class="number">1</td>