Mark Twain - Samuel Clemens
Collection
Cautionaries are simply edits to the original content for the purposes of improving the usability and clarity of the informatic design. Edits should focus on identifying the framework of the original content in its entirety, including redundant messages of cultural or legal significance. The following edits were made to the content to improve the framework:
- Words were stemmed.
- Stop Words were used.
- The Stop Word List: 'a', 'about', 'above', 'above', 'across', 'after', 'afterwards', 'again', 'against', 'all', 'almost', 'alone', 'along', 'already', 'also','although','always','am','among', 'amongst', 'amoungst', 'amount', 'an', 'and', 'another', 'any','anyhow','anyone','anything','anyway', 'anywhere', 'are', 'around', 'as', 'at', 'back','be','became', 'because','become','becomes', 'becoming', 'been', 'before', 'beforehand', 'behind', 'being', 'below', 'beside', 'besides', 'between', 'beyond', 'bill', 'both', 'bottom','but', 'by', 'call', 'can', 'cannot', 'cant', 'co', 'con', 'could', 'couldnt', 'cry', 'de', 'describe', 'detail', 'do', 'done', 'down', 'due', 'during', 'each', 'eg', 'eight', 'either', 'eleven','else', 'elsewhere', 'empty', 'enough', 'etc', 'even', 'ever', 'every', 'everyone', 'everything', 'everywhere', 'except', 'few', 'fifteen', 'fify', 'fill', 'find', 'fire', 'first', 'five', 'for', 'former', 'formerly', 'forty', 'found', 'four', 'from', 'front', 'full', 'further', 'get', 'give', 'go', 'had', 'has', 'hasnt', 'have', 'he', 'hence', 'her', 'here', 'hereafter', 'hereby', 'herein', 'hereupon', 'hers', 'herself', 'him', 'himself', 'his', 'how', 'however', 'hundred', 'ie', 'if', 'in', 'inc', 'indeed', 'interest', 'into', 'is', 'it', 'its', 'itself', 'keep', 'last', 'latter', 'latterly', 'least', 'less', 'ltd', 'made', 'many', 'may', 'me', 'meanwhile', 'might', 'mill', 'mine', 'more', 'moreover', 'most', 'mostly', 'move', 'much', 'must', 'my', 'myself', 'name', 'namely', 'neither', 'never', 'nevertheless', 'next', 'nine', 'no', 'nobody', 'none', 'noone', 'nor', 'not', 'nothing', 'now', 'nowhere', 'of', 'off', 'often', 'on', 'once', 'one', 'only', 'onto', 'or', 'other', 'others', 'otherwise', 'our', 'ours', 'ourselves', 'out', 'over', 'own','part', 'per', 'perhaps', 'please', 'put', 'rather', 're', 'same', 'see', 'seem', 'seemed', 'seeming', 'seems', 'serious', 'several', 'she', 'should', 'show', 'side', 'since', 'sincere', 'six', 'sixty', 'so', 'some', 'somehow', 'someone', 'something', 'sometime', 'sometimes', 'somewhere', 'still', 'such', 'system', 'take', 'ten', 'than', 'that', 'the', 'their', 'them', 'themselves', 'then', 'thence', 'there', 'thereafter', 'thereby', 'therefore', 'therein', 'thereupon', 'these', 'they', 'thick', 'thin', 'third', 'this', 'those', 'though', 'three', 'through', 'throughout', 'thru', 'thus', 'to', 'together', 'too', 'top', 'toward', 'towards', 'twelve', 'twenty', 'two', 'un', 'under', 'until', 'up', 'upon', 'us', 'very', 'via', 'was', 'we', 'well', 'were', 'what', 'whatever', 'when', 'whence', 'whenever', 'where', 'whereafter', 'whereas', 'whereby', 'wherein', 'whereupon', 'wherever', 'whether', 'which', 'while', 'whither', 'who', 'whoever', 'whole', 'whom', 'whose', 'why', 'will', 'with', 'within', 'without', 'would', 'yet', 'you', 'your', 'yours', 'yourself', 'yourselves', 'the'.
- The Reasoning Behind the Selection - These words are of high frequency, non-unique generality. They are simply removed to clarify the content, of a more unique terminology, during the analytic stage of modeling. There are other words that could be included or excluded, as the method of removal isn’t intended to be exact. However, the terms should be non-unique, of high frequency, and fully disclosed to users of the informatic model. That is, these terms after the analytic stage are returned to the informatic model in developing the networks, layering, directionality, and detailing of the model.
- Implications of Selection - The methodology generalizes the unstructured information, so regardless of the nuanced changes of a stop word list; which may or may not include some unique terms, or may or may not meet a particular standard asserted as ideal; the given methodology returns these words to the corpus for the informatic modelling, and the generalized form of significant associations are consistently accounted for, even if some words of significant association were treated as stop words initially. That is, there isn't a perfect stop word list, and lists will vary, but the informatic methodology manages these variations for a consistent outcome, so long as most non-unique terminology is removed.
Specific Cautionaries
The following cautionaries are more specific to the Twain - Collection:
- There were a large variety of numbers and number-letter combinations that marked news sections. All numbers, letter-number combinations not constituting words or abbreviations were removed after the analytic modeling stage. Some low-frequency of numbers meshing with words were removed as well. All combinations were removed to improve the usability and clarity of the content being modeled informatically.
- No words were removed, other than what is listed on the Stop Word list. These words were removed only for the framing and analytic stages. Words are returned during the network, layering, and detailing stages of modeling.
- Errors involving the content, such as conversion errors of words are not edited and will remain transparent to viewers of the model. The focus is on developing trust through process and procedure, not through avenues easily manipulated, such as finely-threaded performances of perfection and cosmetic appeal. Exceptions will be listed in the "specific edits" section.
- Split words that are merged back together, if any, will be listed in specific edits.
- The userability standard is used moderately. That is, terms like "ebook", or proper nouns, such as publisher names, or any other term reflective of the overall publication, will likely be included into the modeling process. The models are designed to account for terms that work in different contexts, such as publication terms, that will be presented alongside the design of the actual written work, with the ideas of the given author intact.
- This methodology is designed to manage the unstructured informational environment, of a sound and consistent overall design, that manifests from categorical arrangements that are inconsistent and imperfect, like that of a hairstyle. Even though terms, these individual hairs, will change, the overall styling, the informatic model, will remain largely the same, of a consistent arrangement of major nodes. In this way, the unstructured informational environment differs from the structured informational environment.
- To improve the readability of models non-alphanumeric symbols are likely to be removed.
Specific Edits
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1,000,000
1,000,000
1,000,000
1,000,000
1,008
1,024
1,061
1,073,546
1,100
1,100
1,184.40
1,200
1,200
1,200,000,000
1,218
1,300
1,400
1,440
1,459.85
1,500
1,500
1,500
1,500,000
1,600
1.00
1.00
1.15
1.25
1.25
1.50
1.75
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10,004.89
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1213
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133,323.18
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17,585,894
17,870.94
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1991
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2,150
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2,5
2,500
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2,600
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2,800
2,986
2.00
2.00
2.00
2.15
2.15
2.30
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2.75
2;400
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200,000
200,000
200,000
200,000
200,000
200,000,000
200,000,000
200,000,000
2005
2006
2006
201
2010
2018
2018
202
2020
203
203
204
205
206
207
208
209
20th
20th
20th
20th
20th
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21,1866
21,700
210
210,000
211
212
214
216
21st
21st
21st
21st
21st
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
220
220,000
224
224k
225
226
227
227
227
228
229
229
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
230
232
232
232
233
233
234
235
236
237
238
239
23d
23k
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
240
241
242
242
242
242
2431
245
245
245
246
247
248
249
24k
24th
24th
24th
24th
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25,000
25,000
25,000,000
25,000,000
250
250
250
250,000
250,000
250,000
250,000â
251
252
252
253
253
255
256
257
2572
25k
25th
25th
25th
25th
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26,1853
262
263
264
265
266
267
268
269
269
26th
26th
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27,875.83
270
273
273
275
275
276
277
278
279
27k
27th
27th
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28,1844
280
281
282
284
287
2874
2875
288
2895
28k
28th
28th
28th
28th
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
299
29k
29th
29th
29th
29th
2â
2d
2d
2d
2d
2d
2m
2nd
2s
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,186,000
3,300
3,367
3,50
3,500
3,500,000
3.00
3.25
3.30
3.50
3.50
3.75
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30,000
30,000
30,000
30,000
30.00
300
300
300
300
300
300
300
300
300
300
300
300,000
300,000
300,000,000
300,000,000
300,000,000
3000
3000
302
305
30k
30th
30th
31
31
31
31
31
31
31
31
31
31
31
31
31
31
311
312
313
314
315
316
316
317
3171
3172
3174
3175
3176
3177
3178
3179
318
318
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3189
3189
319
3190
3190
3191
3192
3199
32
32
32
32
32
32
32
320
320
3200
321
322
323
323
324
325
325,000
325,000
3250
326
327
328
32â
32k
33
33
33
33
33
33
33077
33077
34
34
34
34
34
34
34
34
34
34,000
34,952.00
349,982,000
34k
35
35
35
35
35
35
35
35
35
35,317.50
350
350
350
35k
36
36
36
360
360,000,000
366
36k
37
37
37
37
37
37
37
37
37
375,000
37k
38
38
38
38
38
38
38,500
385
38k
39
39
39
39
39k
3d
3d
3rd
3rd
3s
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4,000
4,000
4,000,000
4,1
4,1877
4,356
4.00
4.00
4.00
4.15
4.15
4.20
4.25
4.25
4.30
4.50
4.75
4_b_
4_c_
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40,000
40,000
40,000
40,000
40,000
40,000
40,000,000
40,000,000
40,334
40.00
400
400
400
400
400,000
4000
408
40â
40k
41
41
41
41
41
41,000
41k
42
42
42
42
42
43
43
43
43
43
43k
44
44
44
44â
44k
45
45
45
45
45
450
45k
45th
46
46
46
46
465
47
47
47
47
47
47
472
48
48
48
48
48
48
48k
49
49
49
49
49,500
492
49â
49k
4th
4th
4th
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5,000
5,000
5,000
5,000,000
5,000,000
5,000,000
5,000,000
5,000,000
5,532
5,900
5,989
5.00
5.00
5.15
5.20
5.30
5.45
5.50
5.75
5.75
5_
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50,000
50,000
50,000
50,000
50,000
50,000
50,000
50.00
500
500
500
500
500
500
500
500
500
500,000
500,000,000
5000
50â
51
51
51
51
51
513
52
52
52
52
52
52
53
53
53
53
53
53
53,500
530
530
54
54
54
54k
55
55
55
55
55
55,000
559
559575255555
56
56
56
56
57
57
57
57
57
57
579
58
58
58
58
58
58
5868
59
59
59
5th
5th
5th
5th
5th
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6,000
6,000
6,000
6,000.00
6,313
6,532
6.00
6.84
60
60
60
60
60
60
60
60
60,000
60,000
60,000
60,000
60,000
600
600
600
600
600
600
600
600
600
60k
61
61
61522
62
62
62
62
62
621
624
63
63
63
63
63,053.68
64
64
64
643
646
64k
65
650
650
65k
66
66
66
66
67
67
67
67
67
67
68
68
68
68
68
68
688
68k
69
69k
6th
6th
6th
6th
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7,000
7,960
7.00
7.15
7.25
7.30
70
70
70
70
70
70
70
70
70
70
70
70,000
70,000
700
700
700
700
700
702
707
71
71
71
71
71,000
712
72
72
72
72k
73
73
73
73
73k
74
74
74
74
74
74
74
742
75
75
75
75
75
75
75
75
75,000
75,000
750
750.00
76
76
76
76
76
76
77
77
77
77
78
78
78
78
78
78
78
78.23
79
79
79
79
79
79
79
7â
7th
7th
7th
7th
7x8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8,000
8,000
8,000
8,000
8,997.94
8.05
8.30
8.4.0
8.45
8.75
8;000
80
80
80
80
80
80
80
80
80
80
80
80
80
80
80,000
80,000
800
800
800
800
81
81
81
81
81
82
82
82
82
82
82,500
828
82k
83
83
83
83
83
83
83
83,000
84
84
84
84
840
85
85
85
85
85
85
85
85.18
8525
85k
86
86
86
86
86
86
86
87
87
87
87
87
87
87
872
88
88
88
88
88
88
89
89
89
89
89
89
89
89
89
89
89
8997.94
89k
8th
8th
8th
8th
8th
8vo
8vo
8vo
8vo
8vo
8vo
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
0
0
0
00
00
000
000
01
02
03
03
03
04
04
04
04
05
05
05
051
06
07
08
09
096
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1,000
1,000
1,000
1,000
1,000
1,000
1,000
1,000
1,000,000
1,000,000
1,008
1,024
1,061
1,073,546
1,100
1,100
1,200
1,200
1,200
1,209,387
1,209,387
1,218
1,244
1,250,000
1,300
1,440
1,440
1,459.85
1,500
1,500
1,500
1,500
1,500
1,500,000
1,500,000
1,600
1,650
1,716
1,900
1.00
1.00
1.25
1.66
1.75
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000
10,000,000
10,004.89
10.30
10.45
100
100
100
100
100
100
100
100
100
100
100
100
100,000
100,000
100,000
100,000
100,000
100,000
100,000
1000
102
102
102
102
102
103k
1044
104k
105
106
106
108
108
108
108
108
108
108
108
1086
1087
109,461
10th
10th
10th
10th
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11,654
11.20
11.30
11.50
110,000
111
111
111
111
112
114
114
115
115
115
115
117
117
117
118,000
119
119
119,448
11th
11th
11th
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12,000
12,000
12.15
12.50
120
120
120,000
1200
121
1213
1213
1213
1213
121k
122
124
126
126
127
128
129
12mo
12th
12th
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13,000
130
130
131
131
131
132k
133
134
134k
135
136
1364
138
13k
13th
13th
13th
14
14
14
14
14
14
14
14
14
14
14
14,000
14,000
14,042
140
140,000
1400
141
142
142
142
142,550
1429
145,000
1456
149
149
149
1492
14th
14th
14th
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15,000
15,000
15,000
15,000
15,000
15,000
15,000
15,000
15,762
150
150
150
150
150
150
150
150
150,000
1500
1500
1500
151
1542
1547
155
155
1582
1585
1589
1590
15th
15th
15th
15th
15th
16
16
16
16
16
16
16
16
16
16
16
16
16
16,000
16,000
160
160
1601
1601
1601
1601
1601
1601
1601
1601
1601
161
166
1673
168
169
1693
16th
16th
17
17
17
17
17
17
17
17
17
17,000
17,000
17,200
17,547
17,900
170,000
172
1720
173
175
175
178
17th
17th
17th
18
18
18
18
18
18
18
18
18
18
18
18
18
18
180
180
180,000
1800
1804
1804
180th
1812
1813
1814
1814
1814
1814
1815
1824
1825
1828
1828
1829
1830
1834
1837
1839
1840
1843
1844
1844
1845
1846
1847
1848
1848
1849
1849
185
1850
1851
1852
1852
1853
1853
1853
1853
1855
1855
1855
1856
1857
1858
1858
1858
1859
1859
186
186
186
1860
1860
1861
1861
1861
1861
1862
1863
1863
1863
1863
1864
1864
1864
1865
1865
1865
1865
1865
1865
1866
1866
1866
1866
1867
1867
1867
1867
1867
1867
1867
1867
1867
1867
1867
1867
1868
1868
1868
1868
1868
1869
1869
1869
1869
187
187
1870
1870
1870
1870
1870
1870
1870
1870
1870
1870
1871
1871
1871
1871
1871
1872
1872
1872
1872
1873
1873
1873
1873
1874
1874
1874
1874
1874
1875
1875
1875
1875
1875
1875
1876
1876
1876
1877
1877
1877
1878
1878
1878
1878
1879
1879
1879
1879
1880
1880
1880
1880
1880
1880
1882
1882
1882
1882
1882
1882
1882
1882
1882
1883
1883
1883
1883
1883
1884
1884
1884
1885
1885
1885
1885
1885
1885
1886
1886
1886
1887
1887
1888
1888
1888
1889
1889
1890
1890
1891
1891
1891
1891
1892
1892
1892
1892
1892
1893
1893
1894
1894
1894
1894
1895
1895
1895
1895
1895
1896
1896
1897
1897
1897
1898
1898
1898
1898
1898
1898
1899
1899
1899
1899
1899
1899
1899
18â
18th
18th
18th
19
19
19
19
19
190
1900
1900
1900
1900
1900
1900
1901
1901
1902
1902
1902
1902
1902
1902
1902
1903
1903
1903
1903
1904
1904
1904
1904
1905
1905
1905
1905
1905
1906
1906
1906
1906
1906
1906
1906
1906
1906
1906
1906
1906
1906
1907
1907
1907
1907
1907
1907
1907
1907
1908
1908
1909
1909
1909
1909
191
191,000
1910
1910
1910
1910
1910
1917
1920
1920
193
1930
1930
1935
194
195
1960
197
198
1993
19th
19th
19th
1a
1a
1st
1st
1st
1st
1st
1st
1st
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2,000
2,000
2,000
2,000
2,000
2,000
2,000
2,000
2,000
2,000,000
2,000,000
2,000,000
2,000,000
2,150
2,400
2,400
2,500
2,500
2,500
2,500
2,500,000
2,600
2,600
2,986
2.00
2.00
2.00
2.15
2.15
2.30
2.30
2.75
2;400
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20,000
20,000
20,000
20,000
20,000
20,000
20,000
20,000
20,000
20,000,000
20,000,000
200
200
200
200
200
200
200
200
200
200
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000,000
2000
2005
2006
2006
201
2010
2018
2018
2020
203
205
205
20th
20th
20th
20th
20th
21
21
21
21
21
21
21,700
21.70
210
210,000
214
214
214
215
216
21st
22
22
22
22
22
22
220
220,000
2209
224
224k
225
225,000
229
229
23
23
23
23
23
23
23,102
230
232
233
24
24
24
24
24
24
24
24
24
24
24
240
240,000
242
242
243
2431
245
24th
25
25
25
25
25
25
25
25
25
25
25
25
25
25,000
25,000,000
250
250
250
250,000
256
257
2572
259
25th
25th
25th
25th
26
26
26
26
26
26,362
260
2600
268
268
27
27
27
27
27
27
27
27
27
273
275
276
278
278
28
28
28
28
28
28
28,000
2874
2875
288
2895
28th
29
29
29
29
29
29
29
29
29th
29th
29th
2d
2d
2d
2d
2m
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,000
3,120
3,122
3,201,232
3,228
3,367
3,50
3,500,000
3,600,000
3,800
3.00
3.00
3.25
3.30
3.50
3.50
3.50
3.50
3.50
3.75
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30,000
30,000
30,000
30,000
300
300
300
300
300
300
300
300
300
300
300
300
300
300
300
300,000
300,000,000
300,000,000
3000
302
305
306
307
30th
30th
31
31
31
316
317
3171
3172
3174
3175
3176
3177
3178
3179
318
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3189
3189
3190
3191
3192
3199
31st
32
32
32
32
32
32
320
320,000
3200
324
325,000
3250
326
32d
32k
33
33077
34
34
349,982,000
35
35
35
35
35
35,317.50
350
350
350
350
350
359
35d
35k
36
36
36
36
36
36
365
366
37
37
37
37
37
37,000
375
375
37k
38
38
38
385
38k
39
39
39
39
3d
3d
3rd
3rd
3rd
3rd
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4,000
4,000
4,000
4,000
4,000
4,000
4,000
4,000
4,000,000
4,000,000
4,000,000
4,500
4,500,000
4.00
4.00
4.10
4.15
4.20
4.25
4.25
4.30
4.30
4.33
4.50
4.75
40
40
40
40
40
40
40
40
40
40
40
40
40,000
40,000
40,000
40.00
400
400
400
400
400
400,000
400,000
400,000
4000
408
42
42
420,000
425
42nd
43
43
432
44
44
44â
45
45
45
45,000
450
450
451
45th
45th
46
46,000
460
465
47
47
47
472
48
48
48
49
49
49
49
49,500
49,700
4th
4th
4th
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5,000
5,000
5,000
5,000
5,000,000
5,000,000
5,532
5,900
5.00
5.00
5.10
5.15
5.20
5.45
5.50
50
50
50
50
50
50
50
50
50
50
50
50
50,000
50,000
50,000
50,000
50,000
50,000,000
50.00
500
500
500
500
500
500
500
500
500
500,000
500,000
500,000
500,000,000
500.00
51
51
51
52
52
52
52
528
53
53
53
53,500
530
54
54
54
55
55
56
56th
57
57
57
58
5868
58th
58th's
58th's
59
5th
5th
5th
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6,000
6,000
6,000
6,000
6,000
6,000
6,000
6,000
6,000
6,000,000
6,500
6,532
6.00
6.12
60
60
60
60
60
60,000
60,000
60,000
60,000
60,000
60,000
60,000
600
600
600
600
600
600
600,000
61
61,125
61522
62
62
621
624
64
640
640
642
65
650
66
66
66
66
67
67
670
670
68
68
688
69.2.6
694
69k
6th
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7,000
7,000
7,148
7,613
7.00
7.30
7.30
7.30
7.40
70
70
70
70
70
70
70
70,000
70,000
70,000
700
700
700
707
71
71
72
73
73
73rd
74
74
75
75
75
75,000
75,000
750
76
76
76
78
78
78
78.23
79
79
79
79
7â
7th
7th
7th
7x8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8,000
8,000
8,000
8,000
8,000
8,000
8,000
8,000
8,997.94
8.15
8.29
8.30
8.45
8;000
80
80
80
80
80
80
80
80,000
80,000
80,000
800
800
800
800
800
800
800
800
81
817
82
82
82
82,500
828
83
83
83
83
83
84
840
845
846
846
85
85
85
85
8525
85k
86
86
86
86
87
87
88
88
88
88
89
89
89
89
8th
8th
8th
8vo
8vo
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9,000
9,640
9.00
9.30
90
90
90
90
90
90,000
900
900
91
91
92
92
92
92
93
93
93
931
93a
93aunt
93cow
93produce
93professor
93project
93the
93thomas
93why
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94
94th
95
95
95
9500
95k
95k
96
97
97k
97l
98
987,631
99
99
99
99
993
9d
9th
9th
9th
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9,000
9,500
9.00
9.30
9.30
9.30
9.30a.m
90
90
90,000
90,328
900
90k
91
91
91
91
91
917
92
92
92
92
92
92
92
92
92
93
93
93
93
93
93
93
93
93
93k
94
94
94
94
94
94
94
94
94
95
95
95
95
95
95
95
95k
96
96
96
96
96
963
97
97
97
97
97k
97l
98
98
98
98
98
98
99
99
99
99
99
99
99k
9th
9th.â
