Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory625.0 KiB
Average record size in memory64.0 B

Variable types

Text6
Categorical1

Dataset

Description국가인재원 도서관 소장 도서 목록(24.1.29.기준)입니다.(연번,서명,저자,발행처,발행연도,등록번호,청구기호,구분)총 34,690권입니다. (일반 27,670 / 원내 발간 6,265 / 비도서 755)상세 내용은 "nhi.go.kr/lib"에서 알아보실 수 있습니다.
Author인사혁신처
URLhttps://www.data.go.kr/data/15083411/fileData.do

Alerts

등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:14:57.429237
Analysis finished2024-03-14 21:15:01.801378
Duration4.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서명
Text

Distinct9116
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:03.412427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length66
Mean length13.3445
Min length1

Characters and Unicode

Total characters133445
Distinct characters1501
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8752 ?
Unique (%)87.5%

Sample

1st row한국민족문화대백과사전 14
2nd row인문융합역량 향상과정 v.22
3rd row실낙원
4th row1분만에 변신하고 평생 변화하라!
5th row1등은 당신처럼 SNS 하지 않는다
ValueCountFrequency (%)
연구 260
 
0.8%
위한 237
 
0.8%
사례 232
 
0.8%
관한 162
 
0.5%
및 155
 
0.5%
2 108
 
0.4%
이야기 104
 
0.3%
나는 96
 
0.3%
1 90
 
0.3%
86
 
0.3%
Other values (14999) 29117
95.0%
2024-03-15T06:15:05.615841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20719
 
15.5%
의 2936
 
2.2%
정 2137
 
1.6%
( 1866
 
1.4%
) 1866
 
1.4%
사 1835
 
1.4%
기 1652
 
1.2%
이 1636
 
1.2%
한 1525
 
1.1%
과 1488
 
1.1%
Other values (1491) 95785
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95575
71.6%
Space Separator 20719
 
15.5%
Decimal Number 5392
 
4.0%
Lowercase Letter 3766
 
2.8%
Uppercase Letter 2007
 
1.5%
Open Punctuation 1883
 
1.4%
Close Punctuation 1883
 
1.4%
Other Punctuation 1723
 
1.3%
Dash Punctuation 335
 
0.3%
Letter Number 110
 
0.1%
Other values (3) 52
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2936
 
3.1%
정 2137
 
2.2%
사 1835
 
1.9%
기 1652
 
1.7%
이 1636
 
1.7%
한 1525
 
1.6%
과 1488
 
1.6%
제 1423
 
1.5%
리 1415
 
1.5%
는 1323
 
1.4%
Other values (1388) 78205
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 449
11.9%
v 377
10.0%
i 305
 
8.1%
n 291
 
7.7%
a 286
 
7.6%
o 273
 
7.2%
r 254
 
6.7%
t 237
 
6.3%
s 208
 
5.5%
c 183
 
4.9%
Other values (16) 903
24.0%
Uppercase Letter
ValueCountFrequency (%)
S 197
 
9.8%
E 185
 
9.2%
T 165
 
8.2%
C 160
 
8.0%
D 136
 
6.8%
B 133
 
6.6%
I 118
 
5.9%
R 117
 
5.8%
H 104
 
5.2%
O 98
 
4.9%
Other values (16) 594
29.6%
Other Punctuation
ValueCountFrequency (%)
. 656
38.1%
, 482
28.0%
: 209
 
12.1%
? 99
 
5.7%
· 97
 
5.6%
! 69
 
4.0%
/ 33
 
1.9%
' 29
 
1.7%
& 28
 
1.6%
% 12
 
0.7%
Other values (5) 9
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1192
22.1%
2 1042
19.3%
0 901
16.7%
3 464
 
8.6%
5 445
 
8.3%
4 316
 
5.9%
9 290
 
5.4%
6 288
 
5.3%
7 259
 
4.8%
8 195
 
3.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 48
43.6%
Ⅰ 43
39.1%
Ⅲ 10
 
9.1%
Ⅳ 3
 
2.7%
Ⅴ 2
 
1.8%
Ⅶ 2
 
1.8%
Ⅵ 1
 
0.9%
ⅱ 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 20
42.6%
~ 13
27.7%
> 5
 
10.6%
< 5
 
10.6%
+ 4
 
8.5%
Open Punctuation
ValueCountFrequency (%)
( 1866
99.1%
[ 7
 
0.4%
「 6
 
0.3%
『 4
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1866
99.1%
] 7
 
0.4%
」 6
 
0.3%
』 4
 
0.2%
Other Symbol
ValueCountFrequency (%)
│ 3
75.0%
℃ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
20719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 335
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94695
71.0%
Common 31987
 
24.0%
Latin 5883
 
4.4%
Han 880
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2936
 
3.1%
정 2137
 
2.3%
사 1835
 
1.9%
기 1652
 
1.7%
이 1636
 
1.7%
한 1525
 
1.6%
과 1488
 
1.6%
제 1423
 
1.5%
리 1415
 
1.5%
는 1323
 
1.4%
Other values (1079) 77325
81.7%
Han
ValueCountFrequency (%)
國 36
 
4.1%
大 30
 
3.4%
韓 27
 
3.1%
政 21
 
2.4%
法 20
 
2.3%
民 18
 
2.0%
集 16
 
1.8%
史 16
 
1.8%
律 14
 
1.6%
沿 14
 
1.6%
Other values (299) 668
75.9%
Latin
ValueCountFrequency (%)
e 449
 
7.6%
v 377
 
6.4%
i 305
 
5.2%
n 291
 
4.9%
a 286
 
4.9%
o 273
 
4.6%
r 254
 
4.3%
t 237
 
4.0%
s 208
 
3.5%
S 197
 
3.3%
Other values (50) 3006
51.1%
Common
ValueCountFrequency (%)
20719
64.8%
( 1866
 
5.8%
) 1866
 
5.8%
1 1192
 
3.7%
2 1042
 
3.3%
0 901
 
2.8%
. 656
 
2.1%
, 482
 
1.5%
3 464
 
1.5%
5 445
 
1.4%
Other values (33) 2354
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94695
71.0%
ASCII 37633
 
28.2%
CJK 860
 
0.6%
None 123
 
0.1%
Number Forms 110
 
0.1%
CJK Compat Ideographs 20
 
< 0.1%
Box Drawing 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20719
55.1%
( 1866
 
5.0%
) 1866
 
5.0%
1 1192
 
3.2%
2 1042
 
2.8%
0 901
 
2.4%
. 656
 
1.7%
, 482
 
1.3%
3 464
 
1.2%
e 449
 
1.2%
Other values (75) 7996
 
21.2%
Hangul
ValueCountFrequency (%)
의 2936
 
3.1%
정 2137
 
2.3%
사 1835
 
1.9%
기 1652
 
1.7%
이 1636
 
1.7%
한 1525
 
1.6%
과 1488
 
1.6%
제 1423
 
1.5%
리 1415
 
1.5%
는 1323
 
1.4%
Other values (1079) 77325
81.7%
None
ValueCountFrequency (%)
· 97
78.9%
「 6
 
4.9%
」 6
 
4.9%
『 4
 
3.3%
』 4
 
3.3%
？ 3
 
2.4%
＆ 2
 
1.6%
／ 1
 
0.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 48
43.6%
Ⅰ 43
39.1%
Ⅲ 10
 
9.1%
Ⅳ 3
 
2.7%
Ⅴ 2
 
1.8%
Ⅶ 2
 
1.8%
Ⅵ 1
 
0.9%
ⅱ 1
 
0.9%
CJK
ValueCountFrequency (%)
國 36
 
4.2%
大 30
 
3.5%
韓 27
 
3.1%
政 21
 
2.4%
法 20
 
2.3%
民 18
 
2.1%
集 16
 
1.9%
史 16
 
1.9%
律 14
 
1.6%
沿 14
 
1.6%
Other values (288) 648
75.3%
CJK Compat Ideographs
ValueCountFrequency (%)
列 5
25.0%
歷 4
20.0%
老 2
 
10.0%
理 2
 
10.0%
女 1
 
5.0%
臨 1
 
5.0%
論 1
 
5.0%
勞 1
 
5.0%
宅 1
 
5.0%
林 1
 
5.0%
Box Drawing
ValueCountFrequency (%)
│ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저자
Text

Distinct6119
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:07.275822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length5.8896
Min length1

Characters and Unicode

Total characters58896
Distinct characters977
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5117 ?
Unique (%)51.2%

Sample

1st row한국정신문화연구원
2nd row국가공무원인재개발원
3rd row밀턴, 존
4th row건설교통부
5th row정진수
ValueCountFrequency (%)
중앙공무원교육원 1118
 
8.5%
국가공무원인재개발원 294
 
2.2%
한국행정연구원 116
 
0.9%
이비에스 85
 
0.6%
편 77
 
0.6%
한국행정학회 59
 
0.4%
존 48
 
0.4%
총무처 40
 
0.3%
신임관리자과정 37
 
0.3%
데이비드 34
 
0.3%
Other values (7146) 11228
85.5%
2024-03-15T06:15:09.472844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 3553
 
6.0%
3136
 
5.3%
, 1903
 
3.2%
무 1602
 
2.7%
공 1531
 
2.6%
이 1379
 
2.3%
교 1284
 
2.2%
중 1228
 
2.1%
육 1207
 
2.0%
앙 1184
 
2.0%
Other values (967) 40889
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49384
83.8%
Space Separator 3136
 
5.3%
Lowercase Letter 2875
 
4.9%
Other Punctuation 2029
 
3.4%
Uppercase Letter 998
 
1.7%
Decimal Number 271
 
0.5%
Close Punctuation 90
 
0.2%
Open Punctuation 90
 
0.2%
Dash Punctuation 19
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3553
 
7.2%
무 1602
 
3.2%
공 1531
 
3.1%
이 1379
 
2.8%
교 1284
 
2.6%
중 1228
 
2.5%
육 1207
 
2.4%
앙 1184
 
2.4%
정 962
 
1.9%
스 914
 
1.9%
Other values (871) 34540
69.9%
Lowercase Letter
ValueCountFrequency (%)
e 344
12.0%
a 324
11.3%
n 268
 
9.3%
i 230
 
8.0%
r 224
 
7.8%
l 189
 
6.6%
o 184
 
6.4%
s 147
 
5.1%
t 144
 
5.0%
h 98
 
3.4%
Other values (35) 723
25.1%
Uppercase Letter
ValueCountFrequency (%)
M 80
 
8.0%
S 76
 
7.6%
B 74
 
7.4%
D 73
 
7.3%
J 70
 
7.0%
C 65
 
6.5%
R 60
 
6.0%
K 57
 
5.7%
A 55
 
5.5%
E 50
 
5.0%
Other values (16) 338
33.9%
Decimal Number
ValueCountFrequency (%)
1 57
21.0%
4 44
16.2%
2 39
14.4%
5 37
13.7%
9 25
9.2%
8 18
 
6.6%
0 16
 
5.9%
7 14
 
5.2%
3 13
 
4.8%
6 8
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 1903
93.8%
. 110
 
5.4%
· 7
 
0.3%
' 5
 
0.2%
? 2
 
0.1%
& 1
 
< 0.1%
？ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 82
91.1%
) 8
 
8.9%
Open Punctuation
ValueCountFrequency (%)
[ 82
91.1%
( 8
 
8.9%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Space Separator
ValueCountFrequency (%)
3136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49112
83.4%
Common 5639
 
9.6%
Latin 3819
 
6.5%
Han 254
 
0.4%
Cyrillic 54
 
0.1%
Katakana 14
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3553
 
7.2%
무 1602
 
3.3%
공 1531
 
3.1%
이 1379
 
2.8%
교 1284
 
2.6%
중 1228
 
2.5%
육 1207
 
2.5%
앙 1184
 
2.4%
정 962
 
2.0%
스 914
 
1.9%
Other values (756) 34268
69.8%
Han
ValueCountFrequency (%)
院 16
 
6.3%
硏 15
 
5.9%
務 11
 
4.3%
部 8
 
3.1%
修 8
 
3.1%
行 8
 
3.1%
政 8
 
3.1%
究 7
 
2.8%
國 7
 
2.8%
地 6
 
2.4%
Other values (94) 160
63.0%
Latin
ValueCountFrequency (%)
e 344
 
9.0%
a 324
 
8.5%
n 268
 
7.0%
i 230
 
6.0%
r 224
 
5.9%
l 189
 
4.9%
o 184
 
4.8%
s 147
 
3.8%
t 144
 
3.8%
h 98
 
2.6%
Other values (40) 1667
43.7%
Common
ValueCountFrequency (%)
3136
55.6%
, 1903
33.7%
. 110
 
2.0%
] 82
 
1.5%
[ 82
 
1.5%
1 57
 
1.0%
4 44
 
0.8%
2 39
 
0.7%
5 37
 
0.7%
9 25
 
0.4%
Other values (15) 124
 
2.2%
Cyrillic
ValueCountFrequency (%)
о 9
16.7%
а 6
11.1%
т 5
9.3%
к 4
 
7.4%
р 4
 
7.4%
и 4
 
7.4%
в 3
 
5.6%
д 3
 
5.6%
е 2
 
3.7%
н 2
 
3.7%
Other values (11) 12
22.2%
Katakana
ValueCountFrequency (%)
オ 2
14.3%
ロ 2
14.3%
グ 2
14.3%
シ 2
14.3%
イ 2
14.3%
ズ 2
14.3%
カ 2
14.3%
Hiragana
ValueCountFrequency (%)
つ 1
25.0%
じ 1
25.0%
め 1
25.0%
ゆ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49111
83.4%
ASCII 9450
 
16.0%
CJK 248
 
0.4%
Cyrillic 54
 
0.1%
Katakana 14
 
< 0.1%
None 8
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
Hiragana 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 3553
 
7.2%
무 1602
 
3.3%
공 1531
 
3.1%
이 1379
 
2.8%
교 1284
 
2.6%
중 1228
 
2.5%
육 1207
 
2.5%
앙 1184
 
2.4%
정 962
 
2.0%
스 914
 
1.9%
Other values (755) 34267
69.8%
ASCII
ValueCountFrequency (%)
3136
33.2%
, 1903
20.1%
e 344
 
3.6%
a 324
 
3.4%
n 268
 
2.8%
i 230
 
2.4%
r 224
 
2.4%
l 189
 
2.0%
o 184
 
1.9%
s 147
 
1.6%
Other values (63) 2501
26.5%
CJK
ValueCountFrequency (%)
院 16
 
6.5%
硏 15
 
6.0%
務 11
 
4.4%
部 8
 
3.2%
修 8
 
3.2%
行 8
 
3.2%
政 8
 
3.2%
究 7
 
2.8%
國 7
 
2.8%
地 6
 
2.4%
Other values (89) 154
62.1%
Cyrillic
ValueCountFrequency (%)
о 9
16.7%
а 6
11.1%
т 5
9.3%
к 4
 
7.4%
р 4
 
7.4%
и 4
 
7.4%
в 3
 
5.6%
д 3
 
5.6%
е 2
 
3.7%
н 2
 
3.7%
Other values (11) 12
22.2%
None
ValueCountFrequency (%)
· 7
87.5%
？ 1
 
12.5%
Katakana
ValueCountFrequency (%)
オ 2
14.3%
ロ 2
14.3%
グ 2
14.3%
シ 2
14.3%
イ 2
14.3%
ズ 2
14.3%
カ 2
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
33.3%
沈 1
16.7%
林 1
16.7%
聯 1
16.7%
凌 1
16.7%
Hiragana
ValueCountFrequency (%)
つ 1
25.0%
じ 1
25.0%
め 1
25.0%
ゆ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

발행처
Text

Distinct2539
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:10.934652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length5.5644
Min length1

Characters and Unicode

Total characters55644
Distinct characters771
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1507 ?
Unique (%)15.1%

Sample

1st row한국정신문화연구원
2nd row국가공무원인재개발원
3rd row문학동네
4th row건설교통부
5th row나비의활주로
ValueCountFrequency (%)
중앙공무원교육원 1454
 
13.9%
국가공무원인재개발원 297
 
2.8%
한국행정연구원 197
 
1.9%
김영사 137
 
1.3%
문학동네 134
 
1.3%
21세기북스 94
 
0.9%
위즈덤하우스 90
 
0.9%
민음사 89
 
0.9%
열린책들 67
 
0.6%
한국행정학회 63
 
0.6%
Other values (2591) 7830
74.9%
2024-03-15T06:15:12.855179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 4340
 
7.8%
무 2019
 
3.6%
공 1891
 
3.4%
교 1762
 
3.2%
사 1721
 
3.1%
육 1618
 
2.9%
중 1591
 
2.9%
앙 1579
 
2.8%
스 1331
 
2.4%
국 1132
 
2.0%
Other values (761) 36660
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52119
93.7%
Uppercase Letter 1123
 
2.0%
Lowercase Letter 1006
 
1.8%
Space Separator 452
 
0.8%
Decimal Number 318
 
0.6%
Open Punctuation 242
 
0.4%
Close Punctuation 242
 
0.4%
Other Punctuation 116
 
0.2%
Dash Punctuation 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 4340
 
8.3%
무 2019
 
3.9%
공 1891
 
3.6%
교 1762
 
3.4%
사 1721
 
3.3%
육 1618
 
3.1%
중 1591
 
3.1%
앙 1579
 
3.0%
스 1331
 
2.6%
국 1132
 
2.2%
Other values (690) 33135
63.6%
Uppercase Letter
ValueCountFrequency (%)
B 186
16.6%
S 139
12.4%
K 115
10.2%
E 99
8.8%
R 82
 
7.3%
H 72
 
6.4%
M 66
 
5.9%
A 45
 
4.0%
O 43
 
3.8%
C 41
 
3.7%
Other values (15) 235
20.9%
Lowercase Letter
ValueCountFrequency (%)
o 152
15.1%
e 105
10.4%
s 92
9.1%
a 88
 
8.7%
n 71
 
7.1%
r 68
 
6.8%
i 67
 
6.7%
t 51
 
5.1%
k 47
 
4.7%
l 45
 
4.5%
Other values (14) 220
21.9%
Decimal Number
ValueCountFrequency (%)
2 149
46.9%
1 142
44.7%
0 8
 
2.5%
3 7
 
2.2%
5 4
 
1.3%
8 4
 
1.3%
6 2
 
0.6%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 58
50.0%
& 20
 
17.2%
: 13
 
11.2%
. 11
 
9.5%
＆ 8
 
6.9%
· 2
 
1.7%
/ 2
 
1.7%
@ 2
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 233
96.3%
[ 9
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 233
96.3%
] 9
 
3.7%
Space Separator
ValueCountFrequency (%)
452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51844
93.2%
Latin 2129
 
3.8%
Common 1396
 
2.5%
Han 275
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 4340
 
8.4%
무 2019
 
3.9%
공 1891
 
3.6%
교 1762
 
3.4%
사 1721
 
3.3%
육 1618
 
3.1%
중 1591
 
3.1%
앙 1579
 
3.0%
스 1331
 
2.6%
국 1132
 
2.2%
Other values (602) 32860
63.4%
Han
ValueCountFrequency (%)
社 26
 
9.5%
文 15
 
5.5%
院 12
 
4.4%
英 11
 
4.0%
務 10
 
3.6%
硏 10
 
3.6%
行 9
 
3.3%
政 9
 
3.3%
部 8
 
2.9%
修 8
 
2.9%
Other values (78) 157
57.1%
Latin
ValueCountFrequency (%)
B 186
 
8.7%
o 152
 
7.1%
S 139
 
6.5%
K 115
 
5.4%
e 105
 
4.9%
E 99
 
4.7%
s 92
 
4.3%
a 88
 
4.1%
R 82
 
3.9%
H 72
 
3.4%
Other values (39) 999
46.9%
Common
ValueCountFrequency (%)
452
32.4%
( 233
16.7%
) 233
16.7%
2 149
 
10.7%
1 142
 
10.2%
, 58
 
4.2%
- 26
 
1.9%
& 20
 
1.4%
: 13
 
0.9%
. 11
 
0.8%
Other values (12) 59
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51844
93.2%
ASCII 3515
 
6.3%
CJK 273
 
0.5%
None 10
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 4340
 
8.4%
무 2019
 
3.9%
공 1891
 
3.6%
교 1762
 
3.4%
사 1721
 
3.3%
육 1618
 
3.1%
중 1591
 
3.1%
앙 1579
 
3.0%
스 1331
 
2.6%
국 1132
 
2.2%
Other values (602) 32860
63.4%
ASCII
ValueCountFrequency (%)
452
 
12.9%
( 233
 
6.6%
) 233
 
6.6%
B 186
 
5.3%
o 152
 
4.3%
2 149
 
4.2%
1 142
 
4.0%
S 139
 
4.0%
K 115
 
3.3%
e 105
 
3.0%
Other values (59) 1609
45.8%
CJK
ValueCountFrequency (%)
社 26
 
9.5%
文 15
 
5.5%
院 12
 
4.4%
英 11
 
4.0%
務 10
 
3.7%
硏 10
 
3.7%
行 9
 
3.3%
政 9
 
3.3%
部 8
 
2.9%
修 8
 
2.9%
Other values (76) 155
56.8%
None
ValueCountFrequency (%)
＆ 8
80.0%
· 2
 
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
利 1
50.0%
聯 1
50.0%

발행연도
Text

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:13.877478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.033
Min length4

Characters and Unicode

Total characters40330
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.4%

Sample

1st row1990
2nd row2023
3rd row2010
4th row2005
5th row2022
ValueCountFrequency (%)
2008 720
 
7.2%
2012 606
 
6.1%
2007 558
 
5.6%
2018 543
 
5.4%
2006 504
 
5.0%
2003 428
 
4.3%
2001 425
 
4.2%
2002 385
 
3.8%
2020 371
 
3.7%
2021 349
 
3.5%
Other values (88) 5113
51.1%
2024-03-15T06:15:15.150280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13850
34.3%
2 11185
27.7%
1 5905
14.6%
9 3138
 
7.8%
8 1703
 
4.2%
7 1078
 
2.7%
3 985
 
2.4%
6 910
 
2.3%
5 709
 
1.8%
4 659
 
1.6%
Other values (14) 208
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40122
99.5%
Dash Punctuation 153
 
0.4%
Other Letter 41
 
0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13850
34.5%
2 11185
27.9%
1 5905
14.7%
9 3138
 
7.8%
8 1703
 
4.2%
7 1078
 
2.7%
3 985
 
2.5%
6 910
 
2.3%
5 709
 
1.8%
4 659
 
1.6%
Other Letter
ValueCountFrequency (%)
불 10
24.4%
가 9
22.0%
인 9
22.0%
확 9
22.0%
발 1
 
2.4%
행 1
 
2.4%
년 1
 
2.4%
명 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
] 3
75.0%
》 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 4
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40285
99.9%
Hangul 41
 
0.1%
Latin 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13850
34.4%
2 11185
27.8%
1 5905
14.7%
9 3138
 
7.8%
8 1703
 
4.2%
7 1078
 
2.7%
3 985
 
2.4%
6 910
 
2.3%
5 709
 
1.8%
4 659
 
1.6%
Other values (5) 163
 
0.4%
Hangul
ValueCountFrequency (%)
불 10
24.4%
가 9
22.0%
인 9
22.0%
확 9
22.0%
발 1
 
2.4%
행 1
 
2.4%
년 1
 
2.4%
명 1
 
2.4%
Latin
ValueCountFrequency (%)
c 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40288
99.9%
Hangul 41
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13850
34.4%
2 11185
27.8%
1 5905
14.7%
9 3138
 
7.8%
8 1703
 
4.2%
7 1078
 
2.7%
3 985
 
2.4%
6 910
 
2.3%
5 709
 
1.8%
4 659
 
1.6%
Other values (5) 166
 
0.4%
Hangul
ValueCountFrequency (%)
불 10
24.4%
가 9
22.0%
인 9
22.0%
확 9
22.0%
발 1
 
2.4%
행 1
 
2.4%
년 1
 
2.4%
명 1
 
2.4%
None
ValueCountFrequency (%)
》 1
100.0%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:16.699354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowCEM019594
2nd rowCCM006573
3rd rowCEM042841
4th rowCEM032596
5th rowCEM052794
ValueCountFrequency (%)
cem019594 1
 
< 0.1%
cem031738 1
 
< 0.1%
cem038838 1
 
< 0.1%
cem049362 1
 
< 0.1%
cem040423 1
 
< 0.1%
cem041112 1
 
< 0.1%
cem053735 1
 
< 0.1%
cem030015 1
 
< 0.1%
cem037128 1
 
< 0.1%
cem027616 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-15T06:15:18.389379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16641
18.5%
C 11750
13.1%
M 10000
11.1%
E 7995
8.9%
4 6774
7.5%
3 6697
7.4%
2 5289
 
5.9%
5 4815
 
5.3%
1 4365
 
4.9%
6 3999
 
4.4%
Other values (5) 11675
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
66.7%
Uppercase Letter 30000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16641
27.7%
4 6774
11.3%
3 6697
11.2%
2 5289
 
8.8%
5 4815
 
8.0%
1 4365
 
7.3%
6 3999
 
6.7%
7 3873
 
6.5%
8 3843
 
6.4%
9 3704
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 11750
39.2%
M 10000
33.3%
E 7995
26.7%
D 221
 
0.7%
W 34
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
66.7%
Latin 30000
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16641
27.7%
4 6774
11.3%
3 6697
11.2%
2 5289
 
8.8%
5 4815
 
8.0%
1 4365
 
7.3%
6 3999
 
6.7%
7 3873
 
6.5%
8 3843
 
6.4%
9 3704
 
6.2%
Latin
ValueCountFrequency (%)
C 11750
39.2%
M 10000
33.3%
E 7995
26.7%
D 221
 
0.7%
W 34
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16641
18.5%
C 11750
13.1%
M 10000
11.1%
E 7995
8.9%
4 6774
7.5%
3 6697
7.4%
2 5289
 
5.9%
5 4815
 
5.3%
1 4365
 
4.9%
6 3999
 
4.4%
Other values (5) 11675
13.0%

청구기호
Text

Distinct9772
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:15:20.089043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length13.9855
Min length7

Characters and Unicode

Total characters139855
Distinct characters560
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9615 ?
Unique (%)96.2%

Sample

1st rowRE 031 한17ㅎ V.14
2nd row전문 350.07 11 v.22
3rd rowN 841 밀884ㅅ
4th row혁신 350.261 건53ㅇ
5th row325.555 정78ㅇ
ValueCountFrequency (%)
350.21991 523
 
1.9%
v.2 475
 
1.7%
350.1 465
 
1.7%
ci 464
 
1.7%
v.1 427
 
1.5%
정책 402
 
1.4%
중61 361
 
1.3%
813.6 336
 
1.2%
중61ㄱ 274
 
1.0%
813.7 272
 
1.0%
Other values (9229) 23752
85.6%
2024-03-15T06:15:22.311344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17751
12.7%
1 13310
 
9.5%
. 11682
 
8.4%
3 11323
 
8.1%
2 9638
 
6.9%
5 8147
 
5.8%
0 7650
 
5.5%
9 7093
 
5.1%
8 6694
 
4.8%
6 6068
 
4.3%
Other values (550) 40499
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80676
57.7%
Other Letter 21364
 
15.3%
Space Separator 17751
 
12.7%
Other Punctuation 11685
 
8.4%
Uppercase Letter 3956
 
2.8%
Lowercase Letter 2510
 
1.8%
Dash Punctuation 1722
 
1.2%
Close Punctuation 93
 
0.1%
Open Punctuation 93
 
0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1716
 
8.0%
ㄱ 1301
 
6.1%
중 1199
 
5.6%
ㅅ 1158
 
5.4%
ㅈ 946
 
4.4%
ㅎ 894
 
4.2%
김 869
 
4.1%
이 811
 
3.8%
정 711
 
3.3%
한 599
 
2.8%
Other values (487) 11160
52.2%
Uppercase Letter
ValueCountFrequency (%)
V 1293
32.7%
C 757
19.1%
I 468
 
11.8%
T 292
 
7.4%
N 222
 
5.6%
A 179
 
4.5%
D 159
 
4.0%
P 117
 
3.0%
G 115
 
2.9%
M 110
 
2.8%
Other values (11) 244
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
v 1769
70.5%
c 643
 
25.6%
e 18
 
0.7%
a 14
 
0.6%
p 11
 
0.4%
t 7
 
0.3%
o 7
 
0.3%
m 6
 
0.2%
d 6
 
0.2%
i 5
 
0.2%
Other values (10) 24
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 13310
16.5%
3 11323
14.0%
2 9638
11.9%
5 8147
10.1%
0 7650
9.5%
9 7093
8.8%
8 6694
8.3%
6 6068
7.5%
7 5485
6.8%
4 5268
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 11682
> 99.9%
, 1
 
< 0.1%
\ 1
 
< 0.1%
' 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 92
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 92
98.9%
[ 1
 
1.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%
Space Separator
ValueCountFrequency (%)
17751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1722
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112020
80.1%
Hangul 21364
 
15.3%
Latin 6471
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1716
 
8.0%
ㄱ 1301
 
6.1%
중 1199
 
5.6%
ㅅ 1158
 
5.4%
ㅈ 946
 
4.4%
ㅎ 894
 
4.2%
김 869
 
4.1%
이 811
 
3.8%
정 711
 
3.3%
한 599
 
2.8%
Other values (487) 11160
52.2%
Latin
ValueCountFrequency (%)
v 1769
27.3%
V 1293
20.0%
C 757
11.7%
c 643
 
9.9%
I 468
 
7.2%
T 292
 
4.5%
N 222
 
3.4%
A 179
 
2.8%
D 159
 
2.5%
P 117
 
1.8%
Other values (33) 572
 
8.8%
Common
ValueCountFrequency (%)
17751
15.8%
1 13310
11.9%
. 11682
10.4%
3 11323
10.1%
2 9638
8.6%
5 8147
7.3%
0 7650
6.8%
9 7093
 
6.3%
8 6694
 
6.0%
6 6068
 
5.4%
Other values (10) 12664
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118486
84.7%
Hangul 12328
 
8.8%
Compat Jamo 9036
 
6.5%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17751
15.0%
1 13310
11.2%
. 11682
9.9%
3 11323
9.6%
2 9638
8.1%
5 8147
6.9%
0 7650
 
6.5%
9 7093
 
6.0%
8 6694
 
5.6%
6 6068
 
5.1%
Other values (51) 19130
16.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1716
19.0%
ㄱ 1301
14.4%
ㅅ 1158
12.8%
ㅈ 946
10.5%
ㅎ 894
9.9%
ㄷ 536
 
5.9%
ㅁ 521
 
5.8%
ㄴ 469
 
5.2%
ㅂ 459
 
5.1%
ㅊ 332
 
3.7%
Other values (9) 704
7.8%
Hangul
ValueCountFrequency (%)
중 1199
 
9.7%
김 869
 
7.0%
이 811
 
6.6%
정 711
 
5.8%
한 599
 
4.9%
책 437
 
3.5%
신 353
 
2.9%
박 320
 
2.6%
전 276
 
2.2%
임 236
 
1.9%
Other values (468) 6517
52.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반도서
8027 
원내발간
1752 
비도서
 
221

Length

Max length4
Median length4
Mean length3.9779
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반도서
2nd row원내발간
3rd row일반도서
4th row일반도서
5th row일반도서

Common Values

ValueCountFrequency (%)
일반도서 8027
80.3%
원내발간 1752
 
17.5%
비도서 221
 
2.2%

Length

2024-03-15T06:15:22.742683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:15:23.060687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반도서 8027
80.3%
원내발간 1752
 
17.5%
비도서 221
 
2.2%

Missing values

2024-03-15T06:15:01.262386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:15:01.628804image/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.

Sample

서명저자발행처발행연도등록번호청구기호구분
2006한국민족문화대백과사전 14한국정신문화연구원한국정신문화연구원1990CEM019594RE 031 한17ㅎ V.14일반도서
33908인문융합역량 향상과정 v.22국가공무원인재개발원국가공무원인재개발원2023CCM006573전문 350.07 11 v.22원내발간
17336실낙원밀턴, 존문학동네2010CEM042841N 841 밀884ㅅ일반도서
77531분만에 변신하고 평생 변화하라!건설교통부건설교통부2005CEM032596혁신 350.261 건53ㅇ일반도서
264161등은 당신처럼 SNS 하지 않는다정진수나비의활주로2022CEM052794325.555 정78ㅇ일반도서
16973거의 모든 사생활의 역사브라이슨, 빌까치글방2011CEM042475N 595.09 브292ㄱ일반도서
19897사랑을 쓰다, 그리다, 그리워하다이상루이앤휴잇2016CEM045411816.7 이52ㅅ일반도서
1395동유럽 민박여행(1)서길수한우리1990CEM012291980.24 서19ㄷ V.1일반도서
11256그림에, 마음을 놓다이주은앨리스2008CEM036616650.4 이77ㄱ일반도서
33506적극행정 실천과정 v.1국가공무원인재개발원국가공무원인재개발원2020CCM006151전문 350.07 39 v.1원내발간
서명저자발행처발행연도등록번호청구기호구분
26195능소화 부럽구나목영만책문2019CEM052573143.5 목64ㄴ일반도서
3415위대한 대통령은 무엇이 다른가그린슈타인,프레드위즈덤하우스2001CEM026925350.21 그239ㅇ김일반도서
11981빌 클린턴의 마이 라이프클린턴, 월리엄 제퍼슨물푸레2004CEM037365340.99 정64ㅂ일반도서
24144미움, 우정, 구애, 사랑, 결혼먼로, 앨리스웅진지식하우스2020CEM049664843 먼295ㅁ일반도서
1400남의 문화유산 답사기 1전유성가서원1997CEM012297980.24 전67ㄴ V.1일반도서
11341(엇갈리는 사랑을 이어주는)사랑의 테라피클레멘트, 도린꽃삽2008CEM036706859.3 클233ㅅ일반도서
13970부자 통장박종기청림2011CEM039427327.04 박75ㅂ일반도서
16829거짓의 미술관이자우, 랄프비룡소2011CEM042321853 이72ㄱ v.1일반도서
169651만 시간의 법칙이상훈위즈덤하우스2010CEM042467N 325.211 이52ㅇ일반도서
177362030 에너지전쟁예긴, 대니얼올(사피엔스21)2013CEM043242321.3 예18ㅇ일반도서