Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells6447
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text4
Categorical3
Unsupported1

Dataset

Description한국형사법무정책연구원 도서관 소장자료의 목록정보(도서명, 저자, 출판사 등) 제공합니다. 소장자료의 세부사항 확인 등은 한국형사법무정책연구원 전자도서관 홈페이지를 이용 바랍니다.
Author한국형사법무정책연구원
URLhttps://www.data.go.kr/data/3038094/fileData.do

Alerts

소장처 has constant value ""Constant
자료실 has constant value ""Constant
제어번호 is highly overall correlated with 등록번호 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 제어번호 and 1 other fieldsHigh correlation
별치기호 is highly overall correlated with 제어번호 and 1 other fieldsHigh correlation
별치기호 is highly imbalanced (52.3%)Imbalance
저자 has 548 (5.5%) missing valuesMissing
출판사 has 4249 (42.5%) missing valuesMissing
출판년 has 481 (4.8%) missing valuesMissing
서가 has 1149 (11.5%) missing valuesMissing
출판년 is highly skewed (γ1 = -45.26920673)Skewed
등록번호 has unique valuesUnique
청구기호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:22:24.489523
Analysis finished2023-12-12 07:22:28.581838
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제어번호
Real number (ℝ)

HIGH CORRELATION 

Distinct8732
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25487.725
Minimum7
Maximum70919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:22:28.680848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile2963.9
Q111016
median23669.5
Q339601.5
95-th percentile51766.1
Maximum70919
Range70912
Interquartile range (IQR)28585.5

Descriptive statistics

Standard deviation16189.379
Coefficient of variation (CV)0.63518338
Kurtosis-1.1499264
Mean25487.725
Median Absolute Deviation (MAD)13443.5
Skewness0.26624179
Sum2.5487725 × 108
Variance2.62096 × 108
MonotonicityNot monotonic
2023-12-12T16:22:28.850014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11016 43
 
0.4%
10972 24
 
0.2%
10995 23
 
0.2%
11010 22
 
0.2%
11124 21
 
0.2%
11129 21
 
0.2%
11088 20
 
0.2%
10978 18
 
0.2%
10920 18
 
0.2%
11118 18
 
0.2%
Other values (8722) 9772
97.7%
ValueCountFrequency (%)
7 1
< 0.1%
20 1
< 0.1%
26 1
< 0.1%
31 1
< 0.1%
33 1
< 0.1%
56 1
< 0.1%
64 1
< 0.1%
72 1
< 0.1%
81 1
< 0.1%
114 1
< 0.1%
ValueCountFrequency (%)
70919 1
< 0.1%
70863 1
< 0.1%
70784 1
< 0.1%
70781 1
< 0.1%
70764 1
< 0.1%
70716 1
< 0.1%
70715 1
< 0.1%
70710 1
< 0.1%
70708 1
< 0.1%
70694 1
< 0.1%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311910.87
Minimum8
Maximum604654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:22:29.016083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile3840.9
Q118123.75
median500584.5
Q3516892.25
95-th percentile601342.1
Maximum604654
Range604646
Interquartile range (IQR)498768.5

Descriptive statistics

Standard deviation234179.3
Coefficient of variation (CV)0.75078918
Kurtosis-1.729331
Mean311910.87
Median Absolute Deviation (MAD)103433
Skewness-0.27296669
Sum3.1191087 × 109
Variance5.4839947 × 1010
MonotonicityNot monotonic
2023-12-12T16:22:29.169472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18493 1
 
< 0.1%
600970 1
 
< 0.1%
13809 1
 
< 0.1%
506860 1
 
< 0.1%
310223 1
 
< 0.1%
523546 1
 
< 0.1%
525999 1
 
< 0.1%
601850 1
 
< 0.1%
604339 1
 
< 0.1%
81642 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
8 1
< 0.1%
48 1
< 0.1%
70 1
< 0.1%
71 1
< 0.1%
75 1
< 0.1%
89 1
< 0.1%
98 1
< 0.1%
100 1
< 0.1%
101 1
< 0.1%
106 1
< 0.1%
ValueCountFrequency (%)
604654 1
< 0.1%
604653 1
< 0.1%
604652 1
< 0.1%
604647 1
< 0.1%
604644 1
< 0.1%
604641 1
< 0.1%
604640 1
< 0.1%
604631 1
< 0.1%
604613 1
< 0.1%
604612 1
< 0.1%

서명
Text

Distinct8503
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:22:29.502578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length410
Median length184
Mean length46.3938
Min length2

Characters and Unicode

Total characters463938
Distinct characters1424
Distinct categories15 ?
Distinct scripts8 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8005 ?
Unique (%)80.0%

Sample

1st rowPractical psychology for forensic investigations and prosecutions
2nd rowResidential security
3rd rowHawaii department of education
4th rowAmerican Mafia :(A)history of its rise to power
5th rowLaw enforcement agencies of Texas
ValueCountFrequency (%)
of 3173
 
4.9%
the 2400
 
3.7%
and 1807
 
2.8%
in 1627
 
2.5%
812
 
1.2%
for 745
 
1.1%
criminal 689
 
1.1%
a 655
 
1.0%
crime 651
 
1.0%
justice 621
 
1.0%
Other values (11521) 52115
79.8%
2023-12-12T16:22:30.067858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55295
 
11.9%
e 40346
 
8.7%
i 32591
 
7.0%
n 29814
 
6.4%
t 27746
 
6.0%
o 26338
 
5.7%
r 26142
 
5.6%
a 25178
 
5.4%
s 21778
 
4.7%
c 16703
 
3.6%
Other values (1414) 162007
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 346230
74.6%
Space Separator 55295
 
11.9%
Other Letter 19841
 
4.3%
Uppercase Letter 17787
 
3.8%
Decimal Number 11430
 
2.5%
Other Punctuation 7206
 
1.6%
Dash Punctuation 2220
 
0.5%
Open Punctuation 1641
 
0.4%
Close Punctuation 1639
 
0.4%
Private Use 633
 
0.1%
Other values (5) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 562
 
2.8%
法 497
 
2.5%
사 344
 
1.7%
한 335
 
1.7%
제 292
 
1.5%
연 282
 
1.4%
구 273
 
1.4%
에 239
 
1.2%
관 225
 
1.1%
과 211
 
1.1%
Other values (1297) 16581
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 40346
11.7%
i 32591
 
9.4%
n 29814
 
8.6%
t 27746
 
8.0%
o 26338
 
7.6%
r 26142
 
7.6%
a 25178
 
7.3%
s 21778
 
6.3%
c 16703
 
4.8%
l 14944
 
4.3%
Other values (20) 84650
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 1903
 
10.7%
C 1828
 
10.3%
A 1683
 
9.5%
P 1119
 
6.3%
T 997
 
5.6%
D 937
 
5.3%
I 839
 
4.7%
R 806
 
4.5%
J 773
 
4.3%
M 741
 
4.2%
Other values (16) 6161
34.6%
Other Punctuation
ValueCountFrequency (%)
, 3133
43.5%
: 1529
21.2%
. 1211
 
16.8%
& 608
 
8.4%
' 355
 
4.9%
/ 82
 
1.1%
? 77
 
1.1%
" 73
 
1.0%
§ 61
 
0.8%
· 57
 
0.8%
Other values (5) 20
 
0.3%
Private Use
ValueCountFrequency (%)
284
44.9%
262
41.4%
57
 
9.0%
12
 
1.9%
6
 
0.9%
5
 
0.8%
2
 
0.3%
2
 
0.3%
1
 
0.2%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 2811
24.6%
9 1475
12.9%
2 1332
11.7%
7 984
 
8.6%
8 980
 
8.6%
0 862
 
7.5%
3 768
 
6.7%
6 766
 
6.7%
4 739
 
6.5%
5 713
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 1600
97.5%
[ 34
 
2.1%
「 4
 
0.2%
《 2
 
0.1%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1599
97.6%
] 33
 
2.0%
」 4
 
0.2%
》 2
 
0.1%
』 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
× 1
20.0%
> 1
20.0%
< 1
20.0%
= 1
20.0%
+ 1
20.0%
Letter Number
ValueCountFrequency (%)
Ⅴ 1
25.0%
Ⅱ 1
25.0%
Ⅵ 1
25.0%
Ⅰ 1
25.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
80.0%
˙ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
55295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2220
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 364015
78.5%
Common 79443
 
17.1%
Hangul 11273
 
2.4%
Han 7562
 
1.6%
Unknown 633
 
0.1%
Hiragana 510
 
0.1%
Katakana 496
 
0.1%
Greek 6
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
法 497
 
6.6%
刑 198
 
2.6%
學 170
 
2.2%
事 159
 
2.1%
硏 156
 
2.1%
究 146
 
1.9%
論 122
 
1.6%
會 107
 
1.4%
國 107
 
1.4%
犯 102
 
1.3%
Other values (719) 5798
76.7%
Hangul
ValueCountFrequency (%)
의 562
 
5.0%
사 344
 
3.1%
한 335
 
3.0%
제 292
 
2.6%
연 282
 
2.5%
구 273
 
2.4%
에 239
 
2.1%
관 225
 
2.0%
과 211
 
1.9%
법 186
 
1.6%
Other values (458) 8324
73.8%
Katakana
ValueCountFrequency (%)
ス 39
 
7.9%
イ 32
 
6.5%
ト 31
 
6.2%
リ 30
 
6.0%
タ 27
 
5.4%
ジ 26
 
5.2%
ュ 25
 
5.0%
ン 23
 
4.6%
ム 21
 
4.2%
ア 18
 
3.6%
Other values (55) 224
45.2%
Latin
ValueCountFrequency (%)
e 40346
 
11.1%
i 32591
 
9.0%
n 29814
 
8.2%
t 27746
 
7.6%
o 26338
 
7.2%
r 26142
 
7.2%
a 25178
 
6.9%
s 21778
 
6.0%
c 16703
 
4.6%
l 14944
 
4.1%
Other values (49) 102435
28.1%
Common
ValueCountFrequency (%)
55295
69.6%
, 3133
 
3.9%
1 2811
 
3.5%
- 2220
 
2.8%
( 1600
 
2.0%
) 1599
 
2.0%
: 1529
 
1.9%
9 1475
 
1.9%
2 1332
 
1.7%
. 1211
 
1.5%
Other values (36) 7238
 
9.1%
Hiragana
ValueCountFrequency (%)
の 161
31.6%
と 97
19.0%
る 44
 
8.6%
に 28
 
5.5%
を 20
 
3.9%
す 16
 
3.1%
お 15
 
2.9%
け 13
 
2.5%
か 11
 
2.2%
て 7
 
1.4%
Other values (35) 98
19.2%
Unknown
ValueCountFrequency (%)
284
44.9%
262
41.4%
57
 
9.0%
12
 
1.9%
6
 
0.9%
5
 
0.8%
2
 
0.3%
2
 
0.3%
1
 
0.2%
1
 
0.2%
Greek
ValueCountFrequency (%)
β 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443254
95.5%
Hangul 11272
 
2.4%
CJK 7375
 
1.6%
PUA 633
 
0.1%
Hiragana 510
 
0.1%
Katakana 496
 
0.1%
None 204
 
< 0.1%
CJK Compat Ideographs 187
 
< 0.1%
Number Forms 4
 
< 0.1%
Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55295
 
12.5%
e 40346
 
9.1%
i 32591
 
7.4%
n 29814
 
6.7%
t 27746
 
6.3%
o 26338
 
5.9%
r 26142
 
5.9%
a 25178
 
5.7%
s 21778
 
4.9%
c 16703
 
3.8%
Other values (75) 141323
31.9%
Hangul
ValueCountFrequency (%)
의 562
 
5.0%
사 344
 
3.1%
한 335
 
3.0%
제 292
 
2.6%
연 282
 
2.5%
구 273
 
2.4%
에 239
 
2.1%
관 225
 
2.0%
과 211
 
1.9%
법 186
 
1.7%
Other values (457) 8323
73.8%
CJK
ValueCountFrequency (%)
法 497
 
6.7%
刑 198
 
2.7%
學 170
 
2.3%
事 159
 
2.2%
硏 156
 
2.1%
究 146
 
2.0%
論 122
 
1.7%
會 107
 
1.5%
國 107
 
1.5%
犯 102
 
1.4%
Other values (687) 5611
76.1%
PUA
ValueCountFrequency (%)
284
44.9%
262
41.4%
57
 
9.0%
12
 
1.9%
6
 
0.9%
5
 
0.8%
2
 
0.3%
2
 
0.3%
1
 
0.2%
1
 
0.2%
Hiragana
ValueCountFrequency (%)
の 161
31.6%
と 97
19.0%
る 44
 
8.6%
に 28
 
5.5%
を 20
 
3.9%
す 16
 
3.1%
お 15
 
2.9%
け 13
 
2.5%
か 11
 
2.2%
て 7
 
1.4%
Other values (35) 98
19.2%
CJK Compat Ideographs
ValueCountFrequency (%)
論 76
40.6%
理 33
17.6%
年 12
 
6.4%
勞 10
 
5.3%
立 5
 
2.7%
歷 5
 
2.7%
金 5
 
2.7%
六 4
 
2.1%
樂 3
 
1.6%
更 3
 
1.6%
Other values (22) 31
16.6%
None
ValueCountFrequency (%)
ß 61
29.9%
§ 61
29.9%
· 57
27.9%
β 6
 
2.9%
」 4
 
2.0%
「 4
 
2.0%
》 2
 
1.0%
《 2
 
1.0%
ö 1
 
0.5%
­ 1
 
0.5%
Other values (5) 5
 
2.5%
Katakana
ValueCountFrequency (%)
ス 39
 
7.9%
イ 32
 
6.5%
ト 31
 
6.2%
リ 30
 
6.0%
タ 27
 
5.4%
ジ 26
 
5.2%
ュ 25
 
5.0%
ン 23
 
4.6%
ム 21
 
4.2%
ア 18
 
3.6%
Other values (55) 224
45.2%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅴ 1
25.0%
Ⅱ 1
25.0%
Ⅵ 1
25.0%
Ⅰ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

저자
Text

MISSING 

Distinct6130
Distinct (%)64.9%
Missing548
Missing (%)5.5%
Memory size156.2 KiB
2023-12-12T16:22:30.400075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length79
Mean length17.004867
Min length2

Characters and Unicode

Total characters160730
Distinct characters722
Distinct categories12 ?
Distinct scripts9 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5297 ?
Unique (%)56.0%

Sample

1st rowKebbell, Mark R
2nd rowHand, L
3rd rowReppetto, Thomas A
4th row법무부
5th row유네스코청년원
ValueCountFrequency (%)
of 911
 
3.5%
j 657
 
2.5%
s 498
 
1.9%
r 433
 
1.7%
c 393
 
1.5%
department 377
 
1.5%
m 365
 
1.4%
한국형사정책연구원 313
 
1.2%
a 304
 
1.2%
h 301
 
1.2%
Other values (5818) 21407
82.5%
2023-12-12T16:22:30.950065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16507
 
10.3%
e 12327
 
7.7%
n 9282
 
5.8%
a 9102
 
5.7%
i 9018
 
5.6%
r 8256
 
5.1%
o 7759
 
4.8%
t 7292
 
4.5%
s 5819
 
3.6%
l 5368
 
3.3%
Other values (712) 70000
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 100220
62.4%
Uppercase Letter 24031
 
15.0%
Space Separator 16507
 
10.3%
Other Letter 10785
 
6.7%
Other Punctuation 8653
 
5.4%
Private Use 224
 
0.1%
Dash Punctuation 153
 
0.1%
Close Punctuation 69
 
< 0.1%
Open Punctuation 69
 
< 0.1%
Decimal Number 17
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 536
 
5.0%
연 493
 
4.6%
국 489
 
4.5%
원 483
 
4.5%
한 479
 
4.4%
정 459
 
4.3%
구 447
 
4.1%
형 352
 
3.3%
법 339
 
3.1%
회 334
 
3.1%
Other values (622) 6374
59.1%
Lowercase Letter
ValueCountFrequency (%)
e 12327
12.3%
n 9282
9.3%
a 9102
9.1%
i 9018
9.0%
r 8256
 
8.2%
o 7759
 
7.7%
t 7292
 
7.3%
s 5819
 
5.8%
l 5368
 
5.4%
c 3809
 
3.8%
Other values (21) 22188
22.1%
Uppercase Letter
ValueCountFrequency (%)
C 2411
 
10.0%
S 2065
 
8.6%
J 2002
 
8.3%
D 1614
 
6.7%
A 1540
 
6.4%
M 1315
 
5.5%
R 1213
 
5.0%
P 1158
 
4.8%
H 1076
 
4.5%
B 1044
 
4.3%
Other values (16) 8593
35.8%
Private Use
ValueCountFrequency (%)
102
45.5%
68
30.4%
36
 
16.1%
10
 
4.5%
2
 
0.9%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 5
29.4%
8 2
 
11.8%
7 2
 
11.8%
1 2
 
11.8%
2 2
 
11.8%
6 2
 
11.8%
3 1
 
5.9%
9 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5024
58.1%
. 2949
34.1%
/ 340
 
3.9%
& 171
 
2.0%
' 161
 
1.9%
· 7
 
0.1%
? 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 64
92.8%
] 5
 
7.2%
Open Punctuation
ValueCountFrequency (%)
( 64
92.8%
[ 5
 
7.2%
Space Separator
ValueCountFrequency (%)
16507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 124248
77.3%
Common 25470
 
15.8%
Hangul 10414
 
6.5%
Unknown 224
 
0.1%
Han 203
 
0.1%
Katakana 150
 
0.1%
Hiragana 18
 
< 0.1%
Greek 2
 
< 0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 536
 
5.1%
연 493
 
4.7%
국 489
 
4.7%
원 483
 
4.6%
한 479
 
4.6%
정 459
 
4.4%
구 447
 
4.3%
형 352
 
3.4%
법 339
 
3.3%
회 334
 
3.2%
Other values (433) 6003
57.6%
Han
ValueCountFrequency (%)
田 7
 
3.4%
本 5
 
2.5%
井 5
 
2.5%
一 4
 
2.0%
法 4
 
2.0%
日 3
 
1.5%
松 3
 
1.5%
集 3
 
1.5%
正 3
 
1.5%
會 3
 
1.5%
Other values (123) 163
80.3%
Latin
ValueCountFrequency (%)
e 12327
 
9.9%
n 9282
 
7.5%
a 9102
 
7.3%
i 9018
 
7.3%
r 8256
 
6.6%
o 7759
 
6.2%
t 7292
 
5.9%
s 5819
 
4.7%
l 5368
 
4.3%
c 3809
 
3.1%
Other values (45) 46216
37.2%
Katakana
ValueCountFrequency (%)
ン 18
 
12.0%
タ 12
 
8.0%
ル 11
 
7.3%
セ 11
 
7.3%
ス 6
 
4.0%
ッ 5
 
3.3%
リ 4
 
2.7%
イ 4
 
2.7%
ド 4
 
2.7%
ナ 4
 
2.7%
Other values (38) 71
47.3%
Common
ValueCountFrequency (%)
16507
64.8%
, 5024
 
19.7%
. 2949
 
11.6%
/ 340
 
1.3%
& 171
 
0.7%
' 161
 
0.6%
- 153
 
0.6%
) 64
 
0.3%
( 64
 
0.3%
· 7
 
< 0.1%
Other values (13) 30
 
0.1%
Unknown
ValueCountFrequency (%)
102
45.5%
68
30.4%
36
 
16.1%
10
 
4.5%
2
 
0.9%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Hiragana
ValueCountFrequency (%)
う 3
16.7%
ょ 3
16.7%
ぎ 3
16.7%
い 3
16.7%
せ 3
16.7%
る 1
 
5.6%
す 1
 
5.6%
に 1
 
5.6%
Greek
ValueCountFrequency (%)
β 2
100.0%
Cyrillic
ValueCountFrequency (%)
г 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149702
93.1%
Hangul 10414
 
6.5%
PUA 224
 
0.1%
CJK 199
 
0.1%
Katakana 150
 
0.1%
None 18
 
< 0.1%
Hiragana 18
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16507
 
11.0%
e 12327
 
8.2%
n 9282
 
6.2%
a 9102
 
6.1%
i 9018
 
6.0%
r 8256
 
5.5%
o 7759
 
5.2%
t 7292
 
4.9%
s 5819
 
3.9%
l 5368
 
3.6%
Other values (63) 58972
39.4%
Hangul
ValueCountFrequency (%)
사 536
 
5.1%
연 493
 
4.7%
국 489
 
4.7%
원 483
 
4.6%
한 479
 
4.6%
정 459
 
4.4%
구 447
 
4.3%
형 352
 
3.4%
법 339
 
3.3%
회 334
 
3.2%
Other values (433) 6003
57.6%
PUA
ValueCountFrequency (%)
102
45.5%
68
30.4%
36
 
16.1%
10
 
4.5%
2
 
0.9%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Katakana
ValueCountFrequency (%)
ン 18
 
12.0%
タ 12
 
8.0%
ル 11
 
7.3%
セ 11
 
7.3%
ス 6
 
4.0%
ッ 5
 
3.3%
リ 4
 
2.7%
イ 4
 
2.7%
ド 4
 
2.7%
ナ 4
 
2.7%
Other values (38) 71
47.3%
None
ValueCountFrequency (%)
· 7
38.9%
ß 6
33.3%
β 2
 
11.1%
ó 1
 
5.6%
ʼn 1
 
5.6%
­ 1
 
5.6%
CJK
ValueCountFrequency (%)
田 7
 
3.5%
本 5
 
2.5%
井 5
 
2.5%
一 4
 
2.0%
法 4
 
2.0%
日 3
 
1.5%
松 3
 
1.5%
集 3
 
1.5%
正 3
 
1.5%
會 3
 
1.5%
Other values (120) 159
79.9%
Hiragana
ValueCountFrequency (%)
う 3
16.7%
ょ 3
16.7%
ぎ 3
16.7%
い 3
16.7%
せ 3
16.7%
る 1
 
5.6%
す 1
 
5.6%
に 1
 
5.6%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
50.0%
理 1
25.0%
連 1
25.0%
Cyrillic
ValueCountFrequency (%)
г 1
100.0%

출판사
Text

MISSING 

Distinct1824
Distinct (%)31.7%
Missing4249
Missing (%)42.5%
Memory size156.2 KiB
2023-12-12T16:22:31.210124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length189
Median length127
Mean length19.114241
Min length2

Characters and Unicode

Total characters109926
Distinct characters732
Distinct categories11 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1237 ?
Unique (%)21.5%

Sample

1st rowWiley
2nd rowH.B.Fenn and Company Ltd
3rd row법무부
4th row유네스코청년원
5th rowNational Institute of Law and Enforcement and Criminal Justice, Law Enforcement Assistance Administration, U. S. Department Justice
ValueCountFrequency (%)
of 871
 
5.5%
press 481
 
3.0%
verlag 362
 
2.3%
the 349
 
2.2%
university 330
 
2.1%
한국형사정책연구원 315
 
2.0%
277
 
1.8%
america 262
 
1.7%
microfilming 258
 
1.6%
corp 255
 
1.6%
Other values (1848) 12057
76.2%
2023-12-12T16:22:31.763060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10066
 
9.2%
e 8094
 
7.4%
i 7005
 
6.4%
r 6317
 
5.7%
n 5732
 
5.2%
o 5492
 
5.0%
a 5344
 
4.9%
s 5131
 
4.7%
t 4815
 
4.4%
l 3712
 
3.4%
Other values (722) 48218
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 72150
65.6%
Uppercase Letter 14117
 
12.8%
Other Letter 10716
 
9.7%
Space Separator 10066
 
9.2%
Other Punctuation 2407
 
2.2%
Dash Punctuation 198
 
0.2%
Private Use 142
 
0.1%
Decimal Number 83
 
0.1%
Close Punctuation 22
 
< 0.1%
Open Punctuation 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 494
 
4.6%
원 430
 
4.0%
한 427
 
4.0%
국 415
 
3.9%
연 395
 
3.7%
구 384
 
3.6%
정 345
 
3.2%
社 342
 
3.2%
형 331
 
3.1%
책 327
 
3.1%
Other values (639) 6826
63.7%
Lowercase Letter
ValueCountFrequency (%)
e 8094
11.2%
i 7005
9.7%
r 6317
 
8.8%
n 5732
 
7.9%
o 5492
 
7.6%
a 5344
 
7.4%
s 5131
 
7.1%
t 4815
 
6.7%
l 3712
 
5.1%
c 3696
 
5.1%
Other values (18) 16812
23.3%
Uppercase Letter
ValueCountFrequency (%)
C 1651
 
11.7%
S 1305
 
9.2%
P 1282
 
9.1%
I 973
 
6.9%
A 840
 
6.0%
M 823
 
5.8%
J 749
 
5.3%
U 740
 
5.2%
D 644
 
4.6%
N 642
 
4.5%
Other values (15) 4468
31.6%
Other Punctuation
ValueCountFrequency (%)
. 1296
53.8%
, 472
 
19.6%
& 240
 
10.0%
' 197
 
8.2%
/ 189
 
7.9%
? 8
 
0.3%
: 3
 
0.1%
＆ 1
 
< 0.1%
· 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
9 22
26.5%
1 21
25.3%
7 13
15.7%
6 13
15.7%
8 4
 
4.8%
0 4
 
4.8%
4 3
 
3.6%
2 2
 
2.4%
5 1
 
1.2%
Private Use
ValueCountFrequency (%)
80
56.3%
27
 
19.0%
24
 
16.9%
9
 
6.3%
2
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 15
68.2%
] 7
31.8%
Open Punctuation
ValueCountFrequency (%)
( 15
71.4%
[ 6
 
28.6%
Space Separator
ValueCountFrequency (%)
10066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 86266
78.5%
Common 12801
 
11.6%
Hangul 5794
 
5.3%
Han 4727
 
4.3%
Katakana 150
 
0.1%
Unknown 142
 
0.1%
Hiragana 45
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
社 342
 
7.2%
法 265
 
5.6%
會 178
 
3.8%
文 150
 
3.2%
大 149
 
3.2%
學 141
 
3.0%
務 122
 
2.6%
書 102
 
2.2%
版 88
 
1.9%
出 88
 
1.9%
Other values (317) 3102
65.6%
Hangul
ValueCountFrequency (%)
사 494
 
8.5%
원 430
 
7.4%
한 427
 
7.4%
국 415
 
7.2%
연 395
 
6.8%
구 384
 
6.6%
정 345
 
6.0%
형 331
 
5.7%
책 327
 
5.6%
법 121
 
2.1%
Other values (274) 2125
36.7%
Latin
ValueCountFrequency (%)
e 8094
 
9.4%
i 7005
 
8.1%
r 6317
 
7.3%
n 5732
 
6.6%
o 5492
 
6.4%
a 5344
 
6.2%
s 5131
 
5.9%
t 4815
 
5.6%
l 3712
 
4.3%
c 3696
 
4.3%
Other values (42) 30928
35.9%
Katakana
ValueCountFrequency (%)
タ 32
21.3%
イ 24
16.0%
ム 22
14.7%
ズ 22
14.7%
ン 13
8.7%
セ 10
 
6.7%
ミ 2
 
1.3%
ネ 2
 
1.3%
ル 2
 
1.3%
ヴ 2
 
1.3%
Other values (17) 19
12.7%
Common
ValueCountFrequency (%)
10066
78.6%
. 1296
 
10.1%
, 472
 
3.7%
& 240
 
1.9%
- 198
 
1.5%
' 197
 
1.5%
/ 189
 
1.5%
9 22
 
0.2%
1 21
 
0.2%
) 15
 
0.1%
Other values (15) 85
 
0.7%
Hiragana
ValueCountFrequency (%)
せ 8
17.8%
い 8
17.8%
ぎ 8
17.8%
う 8
17.8%
ょ 5
11.1%
よ 3
 
6.7%
と 1
 
2.2%
み 1
 
2.2%
す 1
 
2.2%
ず 1
 
2.2%
Unknown
ValueCountFrequency (%)
80
56.3%
27
 
19.0%
24
 
16.9%
9
 
6.3%
2
 
1.4%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99064
90.1%
Hangul 5791
 
5.3%
CJK 4665
 
4.2%
Katakana 150
 
0.1%
PUA 142
 
0.1%
CJK Compat Ideographs 62
 
0.1%
Hiragana 45
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10066
 
10.2%
e 8094
 
8.2%
i 7005
 
7.1%
r 6317
 
6.4%
n 5732
 
5.8%
o 5492
 
5.5%
a 5344
 
5.4%
s 5131
 
5.2%
t 4815
 
4.9%
l 3712
 
3.7%
Other values (64) 37356
37.7%
Hangul
ValueCountFrequency (%)
사 494
 
8.5%
원 430
 
7.4%
한 427
 
7.4%
국 415
 
7.2%
연 395
 
6.8%
구 384
 
6.6%
정 345
 
6.0%
형 331
 
5.7%
책 327
 
5.6%
법 121
 
2.1%
Other values (271) 2122
36.6%
CJK
ValueCountFrequency (%)
社 342
 
7.3%
法 265
 
5.7%
會 178
 
3.8%
文 150
 
3.2%
大 149
 
3.2%
學 141
 
3.0%
務 122
 
2.6%
書 102
 
2.2%
版 88
 
1.9%
出 88
 
1.9%
Other values (307) 3040
65.2%
PUA
ValueCountFrequency (%)
80
56.3%
27
 
19.0%
24
 
16.9%
9
 
6.3%
2
 
1.4%
Katakana
ValueCountFrequency (%)
タ 32
21.3%
イ 24
16.0%
ム 22
14.7%
ズ 22
14.7%
ン 13
8.7%
セ 10
 
6.7%
ミ 2
 
1.3%
ネ 2
 
1.3%
ル 2
 
1.3%
ヴ 2
 
1.3%
Other values (17) 19
12.7%
CJK Compat Ideographs
ValueCountFrequency (%)
良 19
30.6%
立 14
22.6%
更 12
19.4%
連 9
14.5%
論 2
 
3.2%
女 2
 
3.2%
金 1
 
1.6%
不 1
 
1.6%
鹿 1
 
1.6%
理 1
 
1.6%
Hiragana
ValueCountFrequency (%)
せ 8
17.8%
い 8
17.8%
ぎ 8
17.8%
う 8
17.8%
ょ 5
11.1%
よ 3
 
6.7%
と 1
 
2.2%
み 1
 
2.2%
す 1
 
2.2%
ず 1
 
2.2%
None
ValueCountFrequency (%)
ß 1
25.0%
＆ 1
25.0%
β 1
25.0%
· 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
33.3%
ㆍ 1
33.3%
ㄴ 1
33.3%

출판년
Real number (ℝ)

MISSING  SKEWED 

Distinct110
Distinct (%)1.2%
Missing481
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean1981.9243
Minimum195
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:22:31.916185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195
5-th percentile1960
Q11976
median1982
Q31989
95-th percentile2003
Maximum2017
Range1822
Interquartile range (IQR)13

Descriptive statistics

Standard deviation24.72968
Coefficient of variation (CV)0.012477611
Kurtosis3058.8115
Mean1981.9243
Median Absolute Deviation (MAD)6
Skewness-45.269207
Sum18865937
Variance611.55709
MonotonicityNot monotonic
2023-12-12T16:22:32.055192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1976 620
 
6.2%
1979 466
 
4.7%
1978 454
 
4.5%
1980 450
 
4.5%
1988 420
 
4.2%
1977 413
 
4.1%
1981 412
 
4.1%
1987 406
 
4.1%
1986 386
 
3.9%
1982 365
 
3.6%
Other values (100) 5127
51.3%
(Missing) 481
 
4.8%
ValueCountFrequency (%)
195 1
 
< 0.1%
1070 1
 
< 0.1%
1881 20
0.2%
1888 1
 
< 0.1%
1894 1
 
< 0.1%
1896 1
 
< 0.1%
1897 2
 
< 0.1%
1898 3
 
< 0.1%
1899 1
 
< 0.1%
1900 1
 
< 0.1%
ValueCountFrequency (%)
2017 16
 
0.2%
2016 7
 
0.1%
2015 2
 
< 0.1%
2014 1
 
< 0.1%
2012 1
 
< 0.1%
2011 1
 
< 0.1%
2008 8
 
0.1%
2007 54
0.5%
2006 112
1.1%
2005 122
1.2%

별치기호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5196 
mf
4275 
D
 
206
J
 
186
R
 
90
Other values (2)
 
47

Length

Max length4
Median length4
Mean length2.9863
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowmf
3rd rowmf
4th row<NA>
5th rowmf

Common Values

ValueCountFrequency (%)
<NA> 5196
52.0%
mf 4275
42.8%
D 206
 
2.1%
J 186
 
1.9%
R 90
 
0.9%
S 28
 
0.3%
T 19
 
0.2%

Length

2023-12-12T16:22:32.218107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:22:32.332524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5196
52.0%
mf 4275
42.8%
d 206
 
2.1%
j 186
 
1.9%
r 90
 
0.9%
s 28
 
0.3%
t 19
 
0.2%

청구기호
Unsupported

REJECTED  UNSUPPORTED 

Missing20
Missing (%)0.2%
Memory size156.2 KiB

소장처
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국형사정책연구원
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국형사정책연구원
2nd row한국형사정책연구원
3rd row한국형사정책연구원
4th row한국형사정책연구원
5th row한국형사정책연구원

Common Values

ValueCountFrequency (%)
한국형사정책연구원 10000
100.0%

Length

2023-12-12T16:22:32.477059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:22:32.594216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국형사정책연구원 10000
100.0%

자료실
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반자료실
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반자료실
2nd row일반자료실
3rd row일반자료실
4th row일반자료실
5th row일반자료실

Common Values

ValueCountFrequency (%)
일반자료실 10000
100.0%

Length

2023-12-12T16:22:32.729922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:22:32.848312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반자료실 10000
100.0%

서가
Text

MISSING 

Distinct107
Distinct (%)1.2%
Missing1149
Missing (%)11.5%
Memory size156.2 KiB
2023-12-12T16:22:33.114412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7938086
Min length4

Characters and Unicode

Total characters42430
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row57번서가
2nd row14번서가
3rd row59번서가
4th row48번서가
5th row1번서가
ValueCountFrequency (%)
59번서가 923
 
10.4%
56번서가 676
 
7.6%
1번서가 612
 
6.9%
5번서가 583
 
6.6%
2번서가 562
 
6.3%
38번서가 446
 
5.0%
4번서가 384
 
4.3%
57번서가 288
 
3.3%
26번서가 162
 
1.8%
60번서가 138
 
1.6%
Other values (97) 4077
46.1%
2023-12-12T16:22:33.604349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
번 8851
20.9%
서 8851
20.9%
가 8851
20.9%
5 3298
 
7.8%
1 2053
 
4.8%
9 1826
 
4.3%
6 1609
 
3.8%
4 1339
 
3.2%
3 1287
 
3.0%
2 1277
 
3.0%
Other values (3) 3188
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26553
62.6%
Decimal Number 15877
37.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3298
20.8%
1 2053
12.9%
9 1826
11.5%
6 1609
10.1%
4 1339
8.4%
3 1287
 
8.1%
2 1277
 
8.0%
8 1178
 
7.4%
0 1079
 
6.8%
7 931
 
5.9%
Other Letter
ValueCountFrequency (%)
번 8851
33.3%
서 8851
33.3%
가 8851
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26553
62.6%
Common 15877
37.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3298
20.8%
1 2053
12.9%
9 1826
11.5%
6 1609
10.1%
4 1339
8.4%
3 1287
 
8.1%
2 1277
 
8.0%
8 1178
 
7.4%
0 1079
 
6.8%
7 931
 
5.9%
Hangul
ValueCountFrequency (%)
번 8851
33.3%
서 8851
33.3%
가 8851
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26553
62.6%
ASCII 15877
37.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
번 8851
33.3%
서 8851
33.3%
가 8851
33.3%
ASCII
ValueCountFrequency (%)
5 3298
20.8%
1 2053
12.9%
9 1826
11.5%
6 1609
10.1%
4 1339
8.4%
3 1287
 
8.1%
2 1277
 
8.0%
8 1178
 
7.4%
0 1079
 
6.8%
7 931
 
5.9%

Interactions

2023-12-12T16:22:27.658005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:26.845851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.282148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.783247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.011190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.414475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.909292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.149570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:22:27.519629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:22:33.750095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제어번호등록번호출판년별치기호
제어번호1.0000.8330.0000.716
등록번호0.8331.0000.0190.959
출판년0.0000.0191.000NaN
별치기호0.7160.959NaN1.000
2023-12-12T16:22:34.239404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제어번호등록번호출판년별치기호
제어번호1.0000.5980.1110.503
등록번호0.5981.000-0.4740.700
출판년0.111-0.4741.0000.000
별치기호0.5030.7000.0001.000

Missing values

2023-12-12T16:22:28.074888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:22:28.255064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T16:22:28.463614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

제어번호등록번호서명저자출판사출판년별치기호청구기호소장처자료실서가
651555458918493Practical psychology for forensic investigations and prosecutionsKebbell, Mark RWiley2006<NA>614.1 K25P한국형사정책연구원일반자료실57번서가
3704628203513325Residential securityHand, L<NA>1978mf34한국형사정책연구원일반자료실14번서가
5165941630526928Hawaii department of education<NA><NA>1979mf86한국형사정책연구원일반자료실59번서가
632555131215851American Mafia :(A)history of its rise to powerReppetto, Thomas AH.B.Fenn and Company Ltd2004<NA>364.106 R425A한국형사정책연구원일반자료실48번서가
4306133923519107Law enforcement agencies of Texas<NA><NA>1975mf10.1한국형사정책연구원일반자료실1번서가
239731562964923憲法裁判事件意見書事例集법무부법무부1991<NA>법무부 헌44사 v. 17.1한국형사정책연구원일반자료실104번서가
221921532783186연수프로그램 연구개발 보고서유네스코청년원유네스코청년원1997<NA>유네스코 .연56프한국형사정책연구원일반자료실98번서가
2766518292502326Homicide, 1984Law Reform Commission of Canada<NA>1984mf13한국형사정책연구원일반자료실2번서가
5576245636602083Forcible rapeBattelle Law and Justice Study CenterNational Institute of Law and Enforcement and Criminal Justice, Law Enforcement Assistance Administration, U. S. Department Justice1977<NA>R23한국형사정책연구원일반자료실<NA>
173629073430(The) sources of social powerMann, MichaelCambridge University Press1986<NA>303.3 M281S c .한국형사정책연구원일반자료실8번서가
제어번호등록번호서명저자출판사출판년별치기호청구기호소장처자료실서가
1672110995312715法律時報일본범죄사회학회日本評論社1960Jv. 83.1 2011한국형사정책연구원일반자료실66번서가
1877111084302227Youth & society a quarterly journal, v. 10-24Sage PublicationsSage Publications1978Jv. 24한국형사정책연구원일반자료실71번서가
3849827974513092Delaware county (PA) bail agencyWilson, R. A<NA>1976mf30한국형사정책연구원일반자료실5번서가
4999839980525260Texas board of pardons and paroles<NA><NA>1979mf107한국형사정책연구원일반자료실1번서가
3888329295514424Neighborhood justice in ChicagoKlein, J. H<NA>1978mf37한국형사정책연구원일반자료실55번서가
597295012185257정치권력 등에 의한 국민적 의혹사건을 독립적으로 수사하기 위한 각국의 제도와 대처실태한국형사정책연구원한국형사정책연구원2002<NA>KIC 02-45한국형사정책연구원일반자료실106번서가
4861939058524332Falls city (NB) police departmentChapman, S. G<NA>1975mf35한국형사정책연구원일반자료실38번서가
3346323766508134Cost savings in new generation jailsNIJ/U. S. Department of Justice<NA>1988mf16한국형사정책연구원일반자료실4번서가
4676036779522005College and university police agenciesScott, E. J<NA>1976mf35한국형사정책연구원일반자료실38번서가
149831258861702法學 (Seoul Law Journal) 제5권 제1호 제2호서울대학교서울대학교 법학연구소1991<NA>서법연 .법92서 v. 5한국형사정책연구원일반자료실95번서가