-
Notifications
You must be signed in to change notification settings - Fork 1
/
Curso_Auditoria_Dados_Estudo_Caso_CNPJ.html
895 lines (840 loc) · 50 KB
/
Curso_Auditoria_Dados_Estudo_Caso_CNPJ.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
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Flávio Brito" />
<meta name="date" content="2016-12-10" />
<title>Curso Auditoria de Dados - Estudo de Caso - CNPJ</title>
<script src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/jquery-1.11.3/jquery.min.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link href="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/bootstrap-3.3.5/css/cerulean.min.css" rel="stylesheet" />
<script src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/bootstrap-3.3.5/js/bootstrap.min.js"></script>
<script src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
<script src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/bootstrap-3.3.5/shim/respond.min.js"></script>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
div.sourceCode { overflow-x: auto; }
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; background-color: #f8f8f8; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
pre, code { background-color: #f8f8f8; }
code > span.kw { color: #204a87; font-weight: bold; } /* Keyword */
code > span.dt { color: #204a87; } /* DataType */
code > span.dv { color: #0000cf; } /* DecVal */
code > span.bn { color: #0000cf; } /* BaseN */
code > span.fl { color: #0000cf; } /* Float */
code > span.ch { color: #4e9a06; } /* Char */
code > span.st { color: #4e9a06; } /* String */
code > span.co { color: #8f5902; font-style: italic; } /* Comment */
code > span.ot { color: #8f5902; } /* Other */
code > span.al { color: #ef2929; } /* Alert */
code > span.fu { color: #000000; } /* Function */
code > span.er { color: #a40000; font-weight: bold; } /* Error */
code > span.wa { color: #8f5902; font-weight: bold; font-style: italic; } /* Warning */
code > span.cn { color: #000000; } /* Constant */
code > span.sc { color: #000000; } /* SpecialChar */
code > span.vs { color: #4e9a06; } /* VerbatimString */
code > span.ss { color: #4e9a06; } /* SpecialString */
code > span.im { } /* Import */
code > span.va { color: #000000; } /* Variable */
code > span.cf { color: #204a87; font-weight: bold; } /* ControlFlow */
code > span.op { color: #ce5c00; font-weight: bold; } /* Operator */
code > span.pp { color: #8f5902; font-style: italic; } /* Preprocessor */
code > span.ex { } /* Extension */
code > span.at { color: #c4a000; } /* Attribute */
code > span.do { color: #8f5902; font-weight: bold; font-style: italic; } /* Documentation */
code > span.an { color: #8f5902; font-weight: bold; font-style: italic; } /* Annotation */
code > span.cv { color: #8f5902; font-weight: bold; font-style: italic; } /* CommentVar */
code > span.in { color: #8f5902; font-weight: bold; font-style: italic; } /* Information */
</style>
<style type="text/css">
pre:not([class]) {
background-color: white;
}
</style>
</head>
<body>
<style type = "text/css">
.main-container {
max-width: 940px;
margin-left: auto;
margin-right: auto;
}
code {
color: inherit;
background-color: rgba(0, 0, 0, 0.04);
}
img {
max-width:100%;
height: auto;
}
h1 {
font-size: 34px;
}
h1.title {
font-size: 38px;
}
h2 {
font-size: 30px;
}
h3 {
font-size: 24px;
}
h4 {
font-size: 18px;
}
h5 {
font-size: 16px;
}
h6 {
font-size: 12px;
}
.tabbed-pane {
padding-top: 12px;
}
button.code-folding-btn:focus {
outline: none;
}
</style>
<div class="container-fluid main-container">
<!-- tabsets -->
<script src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/navigation-1.0/tabsets.js"></script>
<script>
$(document).ready(function () {
window.buildTabsets("TOC");
});
</script>
<!-- code folding -->
<div class="fluid-row" id="header">
<h1 class="title">Curso Auditoria de Dados - Estudo de Caso - CNPJ</h1>
<h4 class="author"><em>Flávio Brito</em></h4>
<h4 class="date"><em>23/10/2016</em></h4>
</div>
<div id="TOC">
<ul>
<li><a href="#arquivos"><span class="toc-section-number">1</span> Arquivos</a></li>
<li><a href="#arquivo-e-sua-estrutura"><span class="toc-section-number">2</span> Arquivo e sua Estrutura</a></li>
<li><a href="#limpando-fomatacoes"><span class="toc-section-number">3</span> Limpando fomatações</a><ul>
<li><a href="#limpa-cnpj"><span class="toc-section-number">3.1</span> Limpa CNPJ</a></li>
<li><a href="#limpa-caracteres-especiais-do-campo-valor"><span class="toc-section-number">3.2</span> Limpa caracteres especiais do campo Valor</a></li>
</ul></li>
<li><a href="#tratamento-para-o-campo-data"><span class="toc-section-number">4</span> Tratamento para o campo Data</a></li>
<li><a href="#verifica-quais-cnpj-aparecem-mais-de-uma-vez"><span class="toc-section-number">5</span> Verifica quais CNPJ aparecem mais de uma vez</a></li>
<li><a href="#quais-os-cnpj-que-nao-aparecem-repetidamente"><span class="toc-section-number">6</span> Quais os CNPJ que não aparecem repetidamente</a></li>
<li><a href="#testes-de-consistencia"><span class="toc-section-number">7</span> Testes de Consistência</a><ul>
<li><a href="#registros-duplicados"><span class="toc-section-number">7.1</span> Registros duplicados</a></li>
</ul></li>
<li><a href="#agregacao"><span class="toc-section-number">8</span> Agregação</a><ul>
<li><a href="#agrupando-usando-sql-em-data-frames"><span class="toc-section-number">8.1</span> Agrupando usando SQL em Data Frames</a></li>
<li><a href="#somar-dos-valores-agrupados-por-cnpj---xtabs"><span class="toc-section-number">8.2</span> Somar dos Valores agrupados por CNPJ - (xtabs)</a></li>
</ul></li>
<li><a href="#teste-de-sequencias"><span class="toc-section-number">9</span> Teste de sequencias</a><ul>
<li><a href="#ordenacao-de-registros"><span class="toc-section-number">9.1</span> Ordenação de registros</a><ul>
<li><a href="#sintaxe-sql"><span class="toc-section-number">9.1.1</span> Sintaxe SQL</a></li>
<li><a href="#sintaxe-vetorial"><span class="toc-section-number">9.1.2</span> Sintaxe Vetorial</a></li>
</ul></li>
</ul></li>
<li><a href="#resumo-do-data-frame"><span class="toc-section-number">10</span> Resumo do Data Frame</a></li>
<li><a href="#aprofundando-nos-testes-de-possiveis-fraudes"><span class="toc-section-number">11</span> Aprofundando nos Testes de Possíveis Fraudes</a></li>
<li><a href="#pacotes-instalados-e-carregados"><span class="toc-section-number">12</span> Pacotes instalados e carregados</a></li>
</ul>
</div>
<div id="arquivos" class="section level1">
<h1><span class="header-section-number">1</span> Arquivos</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Retirando um data frame da memória</span>
nf <-<span class="st"> </span><span class="ot">NULL</span>
<span class="co">#Lendo o arquivo no padrão csv com separador ; e criando o data frame nf</span>
<span class="co">#nf <- read.csv(file="~/Documents/NotaFiscal.csv", sep=";",stringsAsFactors = FALSE,na.strings=c("", " ") )</span>
nf <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file=</span><span class="st">"https://raw.githubusercontent.com/flaviobrito/dataudit/master/dados/NotaFiscal.csv"</span>, <span class="dt">sep=</span><span class="st">";"</span>,<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>,<span class="dt">na.strings=</span><span class="kw">c</span>(<span class="st">""</span>, <span class="st">" "</span>) )</code></pre></div>
</div>
<div id="arquivo-e-sua-estrutura" class="section level1">
<h1><span class="header-section-number">2</span> Arquivo e sua Estrutura</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Arquivo</span>
knitr::<span class="kw">kable</span>(nf, <span class="dt">digits =</span> <span class="dv">2</span>, <span class="dt">caption =</span> <span class="st">"Data frame"</span>)</code></pre></div>
<table>
<caption>Data frame</caption>
<thead>
<tr class="header">
<th align="left">CNPJ</th>
<th align="left">UF</th>
<th align="left">Data</th>
<th align="right">NF</th>
<th align="left">Classificacao</th>
<th align="left">Valor</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">21.704.783/0001-64</td>
<td align="left">RJ</td>
<td align="left">01/09/2016</td>
<td align="right">90</td>
<td align="left">ME</td>
<td align="left">R$30.000,00</td>
</tr>
<tr class="even">
<td align="left">21.704.783/0001-64</td>
<td align="left">RJ</td>
<td align="left">02/09/2016</td>
<td align="right">91</td>
<td align="left">ME</td>
<td align="left">R$40.000,00</td>
</tr>
<tr class="odd">
<td align="left">03.117.734/0001-43</td>
<td align="left">SP</td>
<td align="left">03/09/2016</td>
<td align="right">2000</td>
<td align="left">MEI</td>
<td align="left">R$444,00</td>
</tr>
<tr class="even">
<td align="left">76.313.316/0001-03</td>
<td align="left">SP</td>
<td align="left">04/09/2016</td>
<td align="right">111</td>
<td align="left">MEI</td>
<td align="left">R$4,00</td>
</tr>
<tr class="odd">
<td align="left">06.062.510/0001-70</td>
<td align="left">SP</td>
<td align="left">05/09/2016</td>
<td align="right">222</td>
<td align="left">NA</td>
<td align="left">R$4.444,00</td>
</tr>
<tr class="even">
<td align="left">16.474.789/0001-52</td>
<td align="left">GO</td>
<td align="left">06/09/2016</td>
<td align="right">33333</td>
<td align="left">NA</td>
<td align="left">R$55,00</td>
</tr>
<tr class="odd">
<td align="left">84.846.156/0001-88</td>
<td align="left">GO</td>
<td align="left">07/09/2016</td>
<td align="right">4444444</td>
<td align="left">MEI</td>
<td align="left">R$667,00</td>
</tr>
<tr class="even">
<td align="left">49.740.886/0001-07</td>
<td align="left">MA</td>
<td align="left">08/09/2016</td>
<td align="right">555</td>
<td align="left">SA</td>
<td align="left">R$666,00</td>
</tr>
<tr class="odd">
<td align="left">49.740.886/0001-07</td>
<td align="left">MA</td>
<td align="left">09/09/2016</td>
<td align="right">400</td>
<td align="left">NA</td>
<td align="left">R$7.777,00</td>
</tr>
<tr class="even">
<td align="left">21.704.783/0001-64</td>
<td align="left">ES</td>
<td align="left">10/09/2016</td>
<td align="right">89</td>
<td align="left">MEI</td>
<td align="left">R$8.888.888,00</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Quantas linhas?</span>
<span class="kw">nrow</span>(nf)</code></pre></div>
<pre><code>## [1] 10</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Quantas colunas?</span>
<span class="kw">ncol</span>(nf)</code></pre></div>
<pre><code>## [1] 6</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Qual a dimensão do data frame?</span>
<span class="kw">dim</span>(nf)</code></pre></div>
<pre><code>## [1] 10 6</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Estrutura</span>
<span class="kw">str</span>(nf)</code></pre></div>
<pre><code>## 'data.frame': 10 obs. of 6 variables:
## $ CNPJ : chr "21.704.783/0001-64" "21.704.783/0001-64" "03.117.734/0001-43" "76.313.316/0001-03" ...
## $ UF : chr "RJ" "RJ" "SP" "SP" ...
## $ Data : chr "01/09/2016" "02/09/2016" "03/09/2016" "04/09/2016" ...
## $ NF : int 90 91 2000 111 222 33333 4444444 555 400 89
## $ Classificacao: chr "ME" "ME" "MEI" "MEI" ...
## $ Valor : chr " R$30.000,00 " " R$40.000,00 " " R$444,00 " " R$4,00 " ...</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Existem NA?</span>
<span class="kw">any</span>(<span class="kw">is.na</span>(nf))</code></pre></div>
<pre><code>## [1] TRUE</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Removendo NA</span>
nf_sem_NA <-<span class="st"> </span><span class="kw">na.omit</span>(nf)
knitr::<span class="kw">kable</span>(nf_sem_NA, <span class="dt">digits =</span> <span class="dv">2</span>, <span class="dt">caption =</span> <span class="st">"Data frame"</span>)</code></pre></div>
<table>
<caption>Data frame</caption>
<thead>
<tr class="header">
<th align="left"></th>
<th align="left">CNPJ</th>
<th align="left">UF</th>
<th align="left">Data</th>
<th align="right">NF</th>
<th align="left">Classificacao</th>
<th align="left">Valor</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">1</td>
<td align="left">21.704.783/0001-64</td>
<td align="left">RJ</td>
<td align="left">01/09/2016</td>
<td align="right">90</td>
<td align="left">ME</td>
<td align="left">R$30.000,00</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">21.704.783/0001-64</td>
<td align="left">RJ</td>
<td align="left">02/09/2016</td>
<td align="right">91</td>
<td align="left">ME</td>
<td align="left">R$40.000,00</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">03.117.734/0001-43</td>
<td align="left">SP</td>
<td align="left">03/09/2016</td>
<td align="right">2000</td>
<td align="left">MEI</td>
<td align="left">R$444,00</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">76.313.316/0001-03</td>
<td align="left">SP</td>
<td align="left">04/09/2016</td>
<td align="right">111</td>
<td align="left">MEI</td>
<td align="left">R$4,00</td>
</tr>
<tr class="odd">
<td align="left">7</td>
<td align="left">84.846.156/0001-88</td>
<td align="left">GO</td>
<td align="left">07/09/2016</td>
<td align="right">4444444</td>
<td align="left">MEI</td>
<td align="left">R$667,00</td>
</tr>
<tr class="even">
<td align="left">8</td>
<td align="left">49.740.886/0001-07</td>
<td align="left">MA</td>
<td align="left">08/09/2016</td>
<td align="right">555</td>
<td align="left">SA</td>
<td align="left">R$666,00</td>
</tr>
<tr class="odd">
<td align="left">10</td>
<td align="left">21.704.783/0001-64</td>
<td align="left">ES</td>
<td align="left">10/09/2016</td>
<td align="right">89</td>
<td align="left">MEI</td>
<td align="left">R$8.888.888,00</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">max</span>(nf_sem_NA$Data)</code></pre></div>
<pre><code>## [1] "10/09/2016"</code></pre>
</div>
<div id="limpando-fomatacoes" class="section level1">
<h1><span class="header-section-number">3</span> Limpando fomatações</h1>
<div id="limpa-cnpj" class="section level2">
<h2><span class="header-section-number">3.1</span> Limpa CNPJ</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#nf$CNPJ <- gsub("[[:punct:]]","",nf$CNPJ)</span>
<span class="kw">gsub</span>(<span class="st">"[[:punct:]]"</span>,<span class="st">""</span>,nf$CNPJ)</code></pre></div>
<pre><code>## [1] "21704783000164" "21704783000164" "03117734000143" "76313316000103"
## [5] "06062510000170" "16474789000152" "84846156000188" "49740886000107"
## [9] "49740886000107" "21704783000164"</code></pre>
</div>
<div id="limpa-caracteres-especiais-do-campo-valor" class="section level2">
<h2><span class="header-section-number">3.2</span> Limpa caracteres especiais do campo Valor</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Exibe o tipo do atributo antes da mudan?a</span>
<span class="kw">class</span>(nf$Valor)</code></pre></div>
<pre><code>## [1] "character"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf$Valor <-<span class="st"> </span><span class="kw">trimws</span>(<span class="kw">gsub</span>(<span class="st">"[R$.]"</span>,<span class="st">""</span>,nf$Valor))
nf$Valor <-<span class="st"> </span><span class="kw">as.numeric</span>(<span class="kw">gsub</span>(<span class="st">","</span>,<span class="st">"."</span>, nf$Valor))
<span class="co">#Exibe o tipo do atributo ap?s a coer??o</span>
<span class="kw">class</span>(nf$Valor)</code></pre></div>
<pre><code>## [1] "numeric"</code></pre>
</div>
</div>
<div id="tratamento-para-o-campo-data" class="section level1">
<h1><span class="header-section-number">4</span> Tratamento para o campo Data</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(lubridate)
nf$Data <-<span class="kw">dmy</span>(nf$Data)
nf$Data</code></pre></div>
<pre><code>## [1] "2016-09-01 UTC" "2016-09-02 UTC" "2016-09-03 UTC" "2016-09-04 UTC"
## [5] "2016-09-05 UTC" "2016-09-06 UTC" "2016-09-07 UTC" "2016-09-08 UTC"
## [9] "2016-09-09 UTC" "2016-09-10 UTC"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">knitr::<span class="kw">kable</span>(nf$Data, <span class="dt">digits =</span> <span class="dv">2</span>, <span class="dt">caption =</span> <span class="st">"Saída"</span>)</code></pre></div>
<table>
<caption>Saída</caption>
<tbody>
<tr class="odd">
<td align="left">2016-09-01</td>
</tr>
<tr class="even">
<td align="left">2016-09-02</td>
</tr>
<tr class="odd">
<td align="left">2016-09-03</td>
</tr>
<tr class="even">
<td align="left">2016-09-04</td>
</tr>
<tr class="odd">
<td align="left">2016-09-05</td>
</tr>
<tr class="even">
<td align="left">2016-09-06</td>
</tr>
<tr class="odd">
<td align="left">2016-09-07</td>
</tr>
<tr class="even">
<td align="left">2016-09-08</td>
</tr>
<tr class="odd">
<td align="left">2016-09-09</td>
</tr>
<tr class="even">
<td align="left">2016-09-10</td>
</tr>
</tbody>
</table>
</div>
<div id="verifica-quais-cnpj-aparecem-mais-de-uma-vez" class="section level1">
<h1><span class="header-section-number">5</span> Verifica quais CNPJ aparecem mais de uma vez</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf[<span class="kw">duplicated</span>(nf$CNPJ),] <span class="co">#(Repare bem nos valores!!!)</span></code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000
## 9 49.740.886/0001-07 MA 2016-09-09 400 <NA> 7777
## 10 21.704.783/0001-64 ES 2016-09-10 89 MEI 8888888</code></pre>
</div>
<div id="quais-os-cnpj-que-nao-aparecem-repetidamente" class="section level1">
<h1><span class="header-section-number">6</span> Quais os CNPJ que não aparecem repetidamente</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf[!<span class="kw">duplicated</span>(nf$CNPJ),]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 21.704.783/0001-64 RJ 2016-09-01 90 ME 30000
## 3 03.117.734/0001-43 SP 2016-09-03 2000 MEI 444
## 4 76.313.316/0001-03 SP 2016-09-04 111 MEI 4
## 5 06.062.510/0001-70 SP 2016-09-05 222 <NA> 4444
## 6 16.474.789/0001-52 GO 2016-09-06 33333 <NA> 55
## 7 84.846.156/0001-88 GO 2016-09-07 4444444 MEI 667
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">unique</span>(nf$CNPJ)</code></pre></div>
<pre><code>## [1] "21.704.783/0001-64" "03.117.734/0001-43" "76.313.316/0001-03"
## [4] "06.062.510/0001-70" "16.474.789/0001-52" "84.846.156/0001-88"
## [7] "49.740.886/0001-07"</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf$CNPJ</code></pre></div>
<pre><code>## [1] "21.704.783/0001-64" "21.704.783/0001-64" "03.117.734/0001-43"
## [4] "76.313.316/0001-03" "06.062.510/0001-70" "16.474.789/0001-52"
## [7] "84.846.156/0001-88" "49.740.886/0001-07" "49.740.886/0001-07"
## [10] "21.704.783/0001-64"</code></pre>
</div>
<div id="testes-de-consistencia" class="section level1">
<h1><span class="header-section-number">7</span> Testes de Consistência</h1>
<div id="registros-duplicados" class="section level2">
<h2><span class="header-section-number">7.1</span> Registros duplicados</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(sqldf)</code></pre></div>
<pre><code>## Loading required package: gsubfn</code></pre>
<pre><code>## Loading required package: proto</code></pre>
<pre><code>## Loading required package: RSQLite</code></pre>
<pre><code>## Loading required package: DBI</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sqldf</span>(<span class="st">"SELECT * FROM nf GROUP BY CNPJ HAVING COUNT(*) >1"</span>)</code></pre></div>
<pre><code>## Loading required package: tcltk</code></pre>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 21.704.783/0001-64 ES 2016-09-09 21:00:00 89 MEI 8888888
## 2 49.740.886/0001-07 MA 2016-09-08 21:00:00 400 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sqldf</span>(<span class="st">"SELECT * FROM nf GROUP BY CNPJ, Classificacao HAVING COUNT(*) >1"</span>)</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 21.704.783/0001-64 RJ 2016-09-01 21:00:00 91 ME 40000</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sqldf</span>(<span class="st">"SELECT * FROM nf GROUP BY CNPJ HAVING COUNT(*) = 1"</span>)</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 03.117.734/0001-43 SP 2016-09-02 21:00:00 2000 MEI 444
## 2 06.062.510/0001-70 SP 2016-09-04 21:00:00 222 <NA> 4444
## 3 16.474.789/0001-52 GO 2016-09-05 21:00:00 33333 <NA> 55
## 4 76.313.316/0001-03 SP 2016-09-03 21:00:00 111 MEI 4
## 5 84.846.156/0001-88 GO 2016-09-06 21:00:00 4444444 MEI 667</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf[<span class="kw">duplicated</span>(nf[<span class="dv">1</span>]),]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000
## 9 49.740.886/0001-07 MA 2016-09-09 400 <NA> 7777
## 10 21.704.783/0001-64 ES 2016-09-10 89 MEI 8888888</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf[<span class="kw">duplicated</span>(nf[<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">5</span>)]),]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000</code></pre>
</div>
</div>
<div id="agregacao" class="section level1">
<h1><span class="header-section-number">8</span> Agregação</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Soma dos Valores das NF por CNPJ
<span class="kw">aggregate</span>(Valor~CNPJ, nf, sum)</code></pre></div>
<pre><code>## CNPJ Valor
## 1 03.117.734/0001-43 444
## 2 06.062.510/0001-70 4444
## 3 16.474.789/0001-52 55
## 4 21.704.783/0001-64 8958888
## 5 49.740.886/0001-07 8443
## 6 76.313.316/0001-03 4
## 7 84.846.156/0001-88 667</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Soma dos Valores das NF por CNPJ e Data
<span class="kw">aggregate</span>(Valor~CNPJ +<span class="st"> </span>Data, nf, sum)</code></pre></div>
<pre><code>## CNPJ Data Valor
## 1 21.704.783/0001-64 2016-09-01 30000
## 2 21.704.783/0001-64 2016-09-02 40000
## 3 03.117.734/0001-43 2016-09-03 444
## 4 76.313.316/0001-03 2016-09-04 4
## 5 06.062.510/0001-70 2016-09-05 4444
## 6 16.474.789/0001-52 2016-09-06 55
## 7 84.846.156/0001-88 2016-09-07 667
## 8 49.740.886/0001-07 2016-09-08 666
## 9 49.740.886/0001-07 2016-09-09 7777
## 10 21.704.783/0001-64 2016-09-10 8888888</code></pre>
<div id="agrupando-usando-sql-em-data-frames" class="section level2">
<h2><span class="header-section-number">8.1</span> Agrupando usando SQL em Data Frames</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Agrupar por CNPJ</span>
<span class="kw">sqldf</span>(<span class="st">"SELECT CNPJ,SUM(Valor) AS Soma FROM nf GROUP BY CNPJ"</span>)</code></pre></div>
<pre><code>## CNPJ Soma
## 1 03.117.734/0001-43 444
## 2 06.062.510/0001-70 4444
## 3 16.474.789/0001-52 55
## 4 21.704.783/0001-64 8958888
## 5 49.740.886/0001-07 8443
## 6 76.313.316/0001-03 4
## 7 84.846.156/0001-88 667</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sqldf</span>(<span class="st">"SELECT CNPJ,SUM(Valor) AS Soma FROM nf GROUP BY CNPJ LIMIT 5"</span>)</code></pre></div>
<pre><code>## CNPJ Soma
## 1 03.117.734/0001-43 444
## 2 06.062.510/0001-70 4444
## 3 16.474.789/0001-52 55
## 4 21.704.783/0001-64 8958888
## 5 49.740.886/0001-07 8443</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Agrupar por CNPJ e Data</span>
<span class="kw">sqldf</span>(<span class="st">"SELECT CNPJ,SUM(Valor) AS Soma FROM nf GROUP BY CNPJ, Data"</span>)</code></pre></div>
<pre><code>## CNPJ Soma
## 1 03.117.734/0001-43 444
## 2 06.062.510/0001-70 4444
## 3 16.474.789/0001-52 55
## 4 21.704.783/0001-64 30000
## 5 21.704.783/0001-64 40000
## 6 21.704.783/0001-64 8888888
## 7 49.740.886/0001-07 666
## 8 49.740.886/0001-07 7777
## 9 76.313.316/0001-03 4
## 10 84.846.156/0001-88 667</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Agrupar por CNPJ e M?s (extra??o)</span>
<span class="kw">sqldf</span>(<span class="st">"SELECT CNPJ,SUM(Valor) AS Soma FROM nf GROUP BY CNPJ, strftime('%m', Data)"</span>)</code></pre></div>
<pre><code>## CNPJ Soma
## 1 03.117.734/0001-43 444
## 2 06.062.510/0001-70 4444
## 3 16.474.789/0001-52 55
## 4 21.704.783/0001-64 8958888
## 5 49.740.886/0001-07 8443
## 6 76.313.316/0001-03 4
## 7 84.846.156/0001-88 667</code></pre>
</div>
<div id="somar-dos-valores-agrupados-por-cnpj---xtabs" class="section level2">
<h2><span class="header-section-number">8.2</span> Somar dos Valores agrupados por CNPJ - (xtabs)</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xtabs</span>(Valor~CNPJ, nf)</code></pre></div>
<pre><code>## CNPJ
## 03.117.734/0001-43 06.062.510/0001-70 16.474.789/0001-52
## 444 4444 55
## 21.704.783/0001-64 49.740.886/0001-07 76.313.316/0001-03
## 8958888 8443 4
## 84.846.156/0001-88
## 667</code></pre>
</div>
</div>
<div id="teste-de-sequencias" class="section level1">
<h1><span class="header-section-number">9</span> Teste de sequencias</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">na.strings=<span class="kw">c</span>(<span class="st">""</span>, <span class="st">" "</span>)
nf[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>:<span class="dv">4</span>)]</code></pre></div>
<pre><code>## CNPJ Data NF
## 1 21.704.783/0001-64 2016-09-01 90
## 2 21.704.783/0001-64 2016-09-02 91
## 3 03.117.734/0001-43 2016-09-03 2000
## 4 76.313.316/0001-03 2016-09-04 111
## 5 06.062.510/0001-70 2016-09-05 222
## 6 16.474.789/0001-52 2016-09-06 33333
## 7 84.846.156/0001-88 2016-09-07 4444444
## 8 49.740.886/0001-07 2016-09-08 555
## 9 49.740.886/0001-07 2016-09-09 400
## 10 21.704.783/0001-64 2016-09-10 89</code></pre>
<div id="ordenacao-de-registros" class="section level2">
<h2><span class="header-section-number">9.1</span> Ordenação de registros</h2>
<div id="sintaxe-sql" class="section level3">
<h3><span class="header-section-number">9.1.1</span> Sintaxe SQL</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Utilizando a sintaxe de SQL do pacote sqldf</span>
nf_seq <-<span class="kw">sqldf</span>(<span class="st">"SELECT a.*, COUNT(*) count</span>
<span class="st"> FROM nf a, nf b</span>
<span class="st"> WHERE a.CNPJ = b.CNPJ </span>
<span class="st"> AND b.NF >= a.NF </span>
<span class="st"> AND b.Data >= b.Data </span>
<span class="st"> GROUP BY a.Data</span>
<span class="st"> ORDER BY b.CNPJ, b.Data, b.NF"</span>)
<span class="kw">print</span>(nf_seq)</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 03.117.734/0001-43 SP 2016-09-02 21:00:00 2000 MEI 444
## 2 06.062.510/0001-70 SP 2016-09-04 21:00:00 222 <NA> 4444
## 3 16.474.789/0001-52 GO 2016-09-05 21:00:00 33333 <NA> 55
## 4 21.704.783/0001-64 RJ 2016-08-31 21:00:00 90 ME 30000
## 5 21.704.783/0001-64 RJ 2016-09-01 21:00:00 91 ME 40000
## 6 21.704.783/0001-64 ES 2016-09-09 21:00:00 89 MEI 8888888
## 7 49.740.886/0001-07 MA 2016-09-07 21:00:00 555 SA 666
## 8 49.740.886/0001-07 MA 2016-09-08 21:00:00 400 <NA> 7777
## 9 76.313.316/0001-03 SP 2016-09-03 21:00:00 111 MEI 4
## 10 84.846.156/0001-88 GO 2016-09-06 21:00:00 4444444 MEI 667
## count
## 1 1
## 2 1
## 3 1
## 4 2
## 5 1
## 6 3
## 7 1
## 8 2
## 9 1
## 10 1</code></pre>
</div>
<div id="sintaxe-vetorial" class="section level3">
<h3><span class="header-section-number">9.1.2</span> Sintaxe Vetorial</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Ordena o dataframe por CNPJ e Data</span>
nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]), ]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 3 03.117.734/0001-43 SP 2016-09-03 2000 MEI 444
## 5 06.062.510/0001-70 SP 2016-09-05 222 <NA> 4444
## 6 16.474.789/0001-52 GO 2016-09-06 33333 <NA> 55
## 1 21.704.783/0001-64 RJ 2016-09-01 90 ME 30000
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000
## 10 21.704.783/0001-64 ES 2016-09-10 89 MEI 8888888
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 400 <NA> 7777
## 4 76.313.316/0001-03 SP 2016-09-04 111 MEI 4
## 7 84.846.156/0001-88 GO 2016-09-07 4444444 MEI 667</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Ordena e seleciona os atributos CNPJ, Data e NF de um determinado contribuinte</span>
nf_valida_seq <-<span class="st"> </span>nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"21.704.783/0001-64"</span>,]
<span class="co"># Verifica se as NF estão em sequência</span>
nf_valida_seq</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 1 21.704.783/0001-64 RJ 2016-09-01 90 ME 30000
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000
## 10 21.704.783/0001-64 ES 2016-09-10 89 MEI 8888888</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Lista a sequência de NF</span>
nf_valida_seq$NF</code></pre></div>
<pre><code>## [1] 90 91 89</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Lista as diferenças entre as NF ordenadas por Data</span>
<span class="kw">diff</span>(nf_valida_seq$NF) </code></pre></div>
<pre><code>## [1] 1 -2</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Lista sequência resultante do teste</span>
<span class="kw">diff</span>(nf_valida_seq$NF) <=<span class="dv">0</span></code></pre></div>
<pre><code>## [1] FALSE TRUE</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Verifica se a soma da diferença é positiva e verdadeira</span>
<span class="kw">sum</span>((<span class="kw">diff</span>(nf_valida_seq$NF) <=<span class="dv">0</span>) ==<span class="st"> </span><span class="ot">TRUE</span>)</code></pre></div>
<pre><code>## [1] 1</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Verifica visualmente se as NF estão em sequencia</span>
<span class="kw">barplot</span>(nf_valida_seq$NF, <span class="dt">horiz =</span> <span class="ot">TRUE</span>, <span class="dt">names.arg=</span>nf_valida_seq$NF)</code></pre></div>
<p><img src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/figure-html/unnamed-chunk-14-1.png" title="" alt="" width="960" /></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Trocando o número da Nota do CNPJ "49.740.886/0001-07" cujo valor é 7777 para 557</span>
nf$NF[nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>]</code></pre></div>
<pre><code>## [1] 555 400</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf$NF[nf$CNPJ==<span class="st">"49.740.886/0001-07"</span> &<span class="st"> </span>nf$Valor==<span class="st">"7777"</span>] <-<span class="st"> </span><span class="dv">400</span>
nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>,]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 400 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf_valida_seq <-<span class="st"> </span>nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>,]
<span class="co"># Verifica se as NF est?o em sequ?ncia</span>
nf_valida_seq</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 400 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sum</span>((<span class="kw">diff</span>(nf_valida_seq$NF) <=<span class="dv">0</span>) ==<span class="st"> </span><span class="ot">TRUE</span>)</code></pre></div>
<pre><code>## [1] 1</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Visualização Gráfica</span>
<span class="kw">barplot</span>(nf_valida_seq$NF, <span class="dt">horiz =</span> <span class="ot">TRUE</span>, <span class="dt">names.arg=</span>nf_valida_seq$NF)</code></pre></div>
<p><img src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/figure-html/unnamed-chunk-14-2.png" title="" alt="" width="960" /></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Trocando o número da Nota do CNPJ "49.740.886/0001-07" cujo valor é 7777 para 557</span>
nf$NF[nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>]</code></pre></div>
<pre><code>## [1] 555 400</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf$NF[nf$CNPJ==<span class="st">"49.740.886/0001-07"</span> &<span class="st"> </span>nf$Valor==<span class="st">"7777"</span>] <-<span class="st"> </span><span class="dv">557</span>
<span class="co">#Testando novamente a auditoria da sequencia</span>
nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>,]</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 557 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">nf_valida_seq <-<span class="st"> </span>nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>,]
<span class="co"># Verifica se as NF est?o em sequ?ncia</span>
nf_valida_seq</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 557 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sum</span>((<span class="kw">diff</span>(nf_valida_seq$NF) <=<span class="dv">0</span>) ==<span class="st"> </span><span class="ot">TRUE</span>)</code></pre></div>
<pre><code>## [1] 0</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Visualização Gráfica</span>
<span class="kw">barplot</span>(nf_valida_seq$NF, <span class="dt">horiz =</span> <span class="ot">TRUE</span>, <span class="dt">names.arg=</span>nf_valida_seq$NF)
<span class="co">#Validando</span>
nf_valida_seq <-<span class="st"> </span>nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]) &<span class="st"> </span>nf$CNPJ==<span class="st">"49.740.886/0001-07"</span>,]
nf_valida_seq</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 557 <NA> 7777</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sum</span>((<span class="kw">diff</span>(nf_valida_seq$NF) <=<span class="dv">0</span>) ==<span class="st"> </span><span class="ot">TRUE</span>)</code></pre></div>
<pre><code>## [1] 0</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Visualizaçãoo Gráfica</span>
<span class="kw">barplot</span>(nf_valida_seq$NF, <span class="dt">horiz =</span> <span class="ot">TRUE</span>, <span class="dt">names.arg=</span>nf_valida_seq$NF)</code></pre></div>
<p><img src="Curso_Auditoria_Dados_Estudo_Caso_CNPJ_files/figure-html/unnamed-chunk-14-3.png" title="" alt="" width="960" /></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Dataframe com 3 colunas</span>
nf_valida_seq <-<span class="st"> </span>nf[<span class="kw">order</span>(nf[,<span class="dv">1</span>], nf[,<span class="dv">3</span>],nf[,<span class="dv">4</span>]),]
nf_valida_seq</code></pre></div>
<pre><code>## CNPJ UF Data NF Classificacao Valor
## 3 03.117.734/0001-43 SP 2016-09-03 2000 MEI 444
## 5 06.062.510/0001-70 SP 2016-09-05 222 <NA> 4444
## 6 16.474.789/0001-52 GO 2016-09-06 33333 <NA> 55
## 1 21.704.783/0001-64 RJ 2016-09-01 90 ME 30000
## 2 21.704.783/0001-64 RJ 2016-09-02 91 ME 40000
## 10 21.704.783/0001-64 ES 2016-09-10 89 MEI 8888888
## 8 49.740.886/0001-07 MA 2016-09-08 555 SA 666
## 9 49.740.886/0001-07 MA 2016-09-09 557 <NA> 7777
## 4 76.313.316/0001-03 SP 2016-09-04 111 MEI 4
## 7 84.846.156/0001-88 GO 2016-09-07 4444444 MEI 667</code></pre>
</div>
</div>
</div>
<div id="resumo-do-data-frame" class="section level1">
<h1><span class="header-section-number">10</span> Resumo do Data Frame</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(nf)</code></pre></div>
<pre><code>## CNPJ UF Data
## Length:10 Length:10 Min. :2016-09-01 00:00:00
## Class :character Class :character 1st Qu.:2016-09-03 06:00:00
## Mode :character Mode :character Median :2016-09-05 12:00:00
## Mean :2016-09-05 12:00:00
## 3rd Qu.:2016-09-07 18:00:00
## Max. :2016-09-10 00:00:00
## NF Classificacao Valor
## Min. : 89 Length:10 Min. : 4
## 1st Qu.: 96 Class :character 1st Qu.: 500
## Median : 388 Mode :character Median : 2556
## Mean : 448149 Mean : 897294
## 3rd Qu.: 1639 3rd Qu.: 24444
## Max. :4444444 Max. :8888888</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(nf$Valor)</code></pre></div>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4 500 2556 897300 24440 8889000</code></pre>
</div>
<div id="aprofundando-nos-testes-de-possiveis-fraudes" class="section level1">
<h1><span class="header-section-number">11</span> Aprofundando nos Testes de Possíveis Fraudes</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Carrega arquivo de Impostos Pagos</span>
<span class="co"># nf_recolhidas <- read.csv(file="~/Documents/Recolhimento.csv", sep=";",stringsAsFactors = FALSE,na.strings=c("", " ") )</span>
nf_recolhidas <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file=</span><span class="st">"https://raw.githubusercontent.com/flaviobrito/dataudit/master/dados/Recolhimento.csv"</span>, <span class="dt">sep=</span><span class="st">";"</span>,<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>,<span class="dt">na.strings=</span><span class="kw">c</span>(<span class="st">""</span>, <span class="st">" "</span>) )
<span class="co">#Verificar se o registro dos impostos recolhidos a maior </span>
<span class="co"># Processa o campo Valor</span>
nf_recolhidas$Valor <-<span class="st"> </span><span class="kw">trimws</span>(<span class="kw">gsub</span>(<span class="st">"[R$.]"</span>,<span class="st">""</span>,nf_recolhidas$Valor))
nf_recolhidas$Valor <-<span class="st"> </span><span class="kw">as.numeric</span>(<span class="kw">gsub</span>(<span class="st">","</span>,<span class="st">"."</span>, nf_recolhidas$Valor))
nf_recolhidas$Recolhimento <-<span class="st"> </span><span class="kw">trimws</span>(<span class="kw">gsub</span>(<span class="st">"[R$.]"</span>,<span class="st">""</span>,nf_recolhidas$Recolhimento))
nf_recolhidas$Recolhimento <-<span class="st"> </span><span class="kw">as.numeric</span>(<span class="kw">gsub</span>(<span class="st">","</span>,<span class="st">"."</span>, nf_recolhidas$Recolhimento))
<span class="co">#Cria um Data Frame com limite de Auditoria </span>
nf_limite <-<span class="st"> </span><span class="kw">aggregate</span>(Valor ~<span class="st"> </span>CNPJ, <span class="dt">data=</span>nf_recolhidas, function(x)<span class="dv">2</span>*<span class="kw">mean</span>(x))
<span class="kw">head</span>(nf_limite)</code></pre></div>
<pre><code>## CNPJ Valor
## 1 03.117.734/0001-43 888
## 2 06.062.510/0001-70 8888
## 3 16.474.789/0001-52 110
## 4 21.704.783/0001-64 5972592
## 5 49.740.886/0001-07 8443
## 6 76.313.316/0001-03 8</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Data frame unindo os DF das NF com informações sobre impostos recolhidos e o arquivo com os limites de auditoria</span>
impostos_recolhidos <-<span class="st"> </span><span class="kw">merge</span>(nf_recolhidas, nf_limite, <span class="dt">by=</span><span class="st">"CNPJ"</span>)
<span class="kw">head</span>(impostos_recolhidos)</code></pre></div>
<pre><code>## CNPJ NF Recolhimento Valor.x Data_Recolhimento Valor.y
## 1 03.117.734/0001-43 2000 79.92 444 17/09/16 888
## 2 06.062.510/0001-70 222 799.92 4444 19/09/16 8888
## 3 16.474.789/0001-52 33333 9.90 55 <NA> 110
## 4 21.704.783/0001-64 90 5400.00 30000 15/09/16 5972592
## 5 21.704.783/0001-64 91 7200.00 40000 16/09/16 5972592
## 6 21.704.783/0001-64 89 1599999.84 8888888 24/09/16 5972592</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Compara os Valores Informados com os Valores utilizados para Pgto de Impostos</span>
registro_audit <-<span class="st"> </span><span class="kw">subset</span>(impostos_recolhidos, Valor.x ><span class="st"> </span>Valor.y)
<span class="co">#Lista os registros candidatos a serem auditados em detalhe</span>
<span class="kw">print</span>(registro_audit)</code></pre></div>
<pre><code>## CNPJ NF Recolhimento Valor.x Data_Recolhimento Valor.y
## 6 21.704.783/0001-64 89 1600000 8888888 24/09/16 5972592</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">##Indica o número de Registros candidatos a auditoria detalhada
<span class="kw">nrow</span>(registro_audit)</code></pre></div>
<pre><code>## [1] 1</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#Escrevendo o data frame com os registros sob suspeita no disco no padrão CSV </span>
<span class="kw">write.csv2</span>(registro_audit,<span class="dt">file=</span><span class="st">"~/Documents/Registros_Possiveis_Fraudes.csv"</span>,<span class="dt">row.names =</span> <span class="ot">FALSE</span>, <span class="dt">quote =</span> <span class="ot">FALSE</span>)
<span class="co">#Verificando o Arquivo</span>
<span class="kw">file.exists</span>(<span class="st">"~/Documents/Registros_Possiveis_Fraudes.csv"</span>)</code></pre></div>
<pre><code>## [1] TRUE</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">saida <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="st">"~/Documents/Registros_Possiveis_Fraudes.csv"</span>, <span class="dt">sep =</span> <span class="st">";"</span>)
knitr::<span class="kw">kable</span>(saida, <span class="dt">digits =</span> <span class="dv">2</span>, <span class="dt">caption =</span> <span class="st">"Data frame"</span>)</code></pre></div>
<table>
<caption>Data frame</caption>
<thead>
<tr class="header">
<th align="left">CNPJ</th>
<th align="right">NF</th>
<th align="left">Recolhimento</th>
<th align="right">Valor.x</th>
<th align="left">Data_Recolhimento</th>
<th align="right">Valor.y</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">21.704.783/0001-64</td>
<td align="right">89</td>
<td align="left">1599999,84</td>
<td align="right">8888888</td>
<td align="left">24/09/16</td>
<td align="right">5972592</td>
</tr>
</tbody>
</table>
</div>
<div id="pacotes-instalados-e-carregados" class="section level1">
<h1><span class="header-section-number">12</span> Pacotes instalados e carregados</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">installed.packages</span>()[<span class="kw">names</span>(<span class="kw">sessionInfo</span>()$otherPkgs), <span class="st">"Version"</span>]</code></pre></div>
<pre><code>## sqldf RSQLite DBI gsubfn proto lubridate
## "0.4-10" "1.0.0" "0.3.1" "0.6-6" "0.3-10" "1.5.0"</code></pre>
</div>
</div>
<script>
// add bootstrap table styles to pandoc tables
$(document).ready(function () {
$('tr.header').parent('thead').parent('table').addClass('table table-condensed');
});
</script>
<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
(function () {
var script = document.createElement("script");
script.type = "text/javascript";
script.src = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
document.getElementsByTagName("head")[0].appendChild(script);
})();
</script>
</body>
</html>