Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells34
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Text5
Categorical1
Numeric1

Dataset

Description울산항만공사 열린도서관에 소장하고 있는 소장자료 현황입니다. 서명, 저자, 출판사, 출판년도가 포함되어 있습니다.
Author울산항만공사
URLhttps://www.data.go.kr/data/15105664/fileData.do

Alerts

구분 is highly imbalanced (59.3%)Imbalance
출판년도 is highly skewed (γ1 = 57.22192734)Skewed
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:38:36.545822
Analysis finished2024-03-14 14:38:40.930515
Duration4.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T23:38:42.091021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters22
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 row0004494
2nd row0005370
3rd rowKMI0272
4th row0008370
5th row0005053
ValueCountFrequency (%)
0004494 1
 
< 0.1%
gp00364 1
 
< 0.1%
0002067 1
 
< 0.1%
0007344 1
 
< 0.1%
0000112 1
 
< 0.1%
0001058 1
 
< 0.1%
mof0362 1
 
< 0.1%
0005671 1
 
< 0.1%
kmi0318 1
 
< 0.1%
0001879 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-14T23:38:43.558787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30997
44.3%
1 5670
 
8.1%
2 3880
 
5.5%
3 3835
 
5.5%
4 3748
 
5.4%
8 3689
 
5.3%
7 3555
 
5.1%
5 3553
 
5.1%
6 3408
 
4.9%
9 3350
 
4.8%
Other values (12) 4315
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65685
93.8%
Uppercase Letter 4315
 
6.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 774
17.9%
G 729
16.9%
M 718
16.6%
K 405
9.4%
I 405
9.4%
C 392
9.1%
O 313
7.3%
F 313
7.3%
R 93
 
2.2%
T 83
 
1.9%
Other values (2) 90
 
2.1%
Decimal Number
ValueCountFrequency (%)
0 30997
47.2%
1 5670
 
8.6%
2 3880
 
5.9%
3 3835
 
5.8%
4 3748
 
5.7%
8 3689
 
5.6%
7 3555
 
5.4%
5 3553
 
5.4%
6 3408
 
5.2%
9 3350
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
Common 65685
93.8%
Latin 4315
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 774
17.9%
G 729
16.9%
M 718
16.6%
K 405
9.4%
I 405
9.4%
C 392
9.1%
O 313
7.3%
F 313
7.3%
R 93
 
2.2%
T 83
 
1.9%
Other values (2) 90
 
2.1%
Common
ValueCountFrequency (%)
0 30997
47.2%
1 5670
 
8.6%
2 3880
 
5.9%
3 3835
 
5.8%
4 3748
 
5.7%
8 3689
 
5.6%
7 3555
 
5.4%
5 3553
 
5.4%
6 3408
 
5.2%
9 3350
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30997
44.3%
1 5670
 
8.1%
2 3880
 
5.5%
3 3835
 
5.5%
4 3748
 
5.4%
8 3689
 
5.3%
7 3555
 
5.1%
5 3553
 
5.1%
6 3408
 
4.9%
9 3350
 
4.8%
Other values (12) 4315
 
6.2%

구분
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반도서
7940 
정부간행물(GP)
 
729
한국해양수산개발원(KMI)
 
405
아동도서
 
392
해양수산부(MOF)
 
313
Other values (3)
 
221

Length

Max length14
Median length4
Mean length5.0416
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반도서
2nd row일반도서
3rd row한국해양수산개발원(KMI)
4th row일반도서
5th row일반도서

Common Values

ValueCountFrequency (%)
일반도서 7940
79.4%
정부간행물(GP) 729
 
7.3%
한국해양수산개발원(KMI) 405
 
4.0%
아동도서 392
 
3.9%
해양수산부(MOF) 313
 
3.1%
참고자료(R) 93
 
0.9%
학술논문(T) 83
 
0.8%
울산항만공사(UPA) 45
 
0.4%

Length

2024-03-14T23:38:43.796007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:38:43.990604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반도서 7940
79.4%
정부간행물(gp 729
 
7.3%
한국해양수산개발원(kmi 405
 
4.0%
아동도서 392
 
3.9%
해양수산부(mof 313
 
3.1%
참고자료(r 93
 
0.9%
학술논문(t 83
 
0.8%
울산항만공사(upa 45
 
0.4%

자료명
Text

Distinct9534
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T23:38:45.206133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length94
Mean length23.7777
Min length1

Characters and Unicode

Total characters237777
Distinct characters1496
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9217 ?
Unique (%)92.2%

Sample

1st row(프렌즈) 방콕
2nd rowIMF 견문록 : 세계경제의 중심 IMF 700일간의 기록
3rd row2017 수산·해양환경 통계
4th row우먼 인 윈도: A. J. 핀 장편소설
5th row쉿! 퇴직연금도 모르면서 은퇴설계를 하고 있다고 말하지 마라
ValueCountFrequency (%)
2534
 
4.3%
장편소설 455
 
0.8%
위한 396
 
0.7%
1 335
 
0.6%
2 323
 
0.6%
이야기 290
 
0.5%
연구 270
 
0.5%
및 233
 
0.4%
3 165
 
0.3%
어떻게 147
 
0.3%
Other values (22015) 53391
91.2%
2024-03-14T23:38:46.816852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48712
 
20.5%
: 5086
 
2.1%
의 4539
 
1.9%
이 3261
 
1.4%
는 2762
 
1.2%
기 2593
 
1.1%
사 2457
 
1.0%
한 2206
 
0.9%
지 2077
 
0.9%
1 2056
 
0.9%
Other values (1486) 162028
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154046
64.8%
Space Separator 48712
 
20.5%
Lowercase Letter 10271
 
4.3%
Other Punctuation 9017
 
3.8%
Decimal Number 8555
 
3.6%
Uppercase Letter 3338
 
1.4%
Open Punctuation 1598
 
0.7%
Close Punctuation 1598
 
0.7%
Dash Punctuation 369
 
0.2%
Math Symbol 136
 
0.1%
Other values (4) 137
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4539
 
2.9%
이 3261
 
2.1%
는 2762
 
1.8%
기 2593
 
1.7%
사 2457
 
1.6%
한 2206
 
1.4%
지 2077
 
1.3%
가 1984
 
1.3%
리 1826
 
1.2%
다 1694
 
1.1%
Other values (1372) 128647
83.5%
Lowercase Letter
ValueCountFrequency (%)
e 1109
10.8%
o 941
 
9.2%
a 904
 
8.8%
n 903
 
8.8%
i 898
 
8.7%
t 838
 
8.2%
r 781
 
7.6%
s 670
 
6.5%
l 426
 
4.1%
d 346
 
3.4%
Other values (16) 2455
23.9%
Uppercase Letter
ValueCountFrequency (%)
S 365
 
10.9%
I 264
 
7.9%
P 248
 
7.4%
T 232
 
7.0%
A 231
 
6.9%
C 207
 
6.2%
E 199
 
6.0%
O 186
 
5.6%
R 186
 
5.6%
M 183
 
5.5%
Other values (16) 1037
31.1%
Other Punctuation
ValueCountFrequency (%)
: 5086
56.4%
. 1595
 
17.7%
, 1219
 
13.5%
· 492
 
5.5%
! 217
 
2.4%
? 170
 
1.9%
; 58
 
0.6%
& 45
 
0.5%
/ 39
 
0.4%
' 35
 
0.4%
Other values (8) 61
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 2056
24.0%
0 1916
22.4%
2 1872
21.9%
3 650
 
7.6%
5 466
 
5.4%
4 405
 
4.7%
6 324
 
3.8%
9 314
 
3.7%
7 290
 
3.4%
8 262
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 80
58.8%
+ 24
 
17.6%
> 12
 
8.8%
< 12
 
8.8%
｜ 4
 
2.9%
∼ 2
 
1.5%
× 1
 
0.7%
＋ 1
 
0.7%
Other Symbol
ValueCountFrequency (%)
ⓔ 12
57.1%
℃ 3
 
14.3%
® 3
 
14.3%
™ 1
 
4.8%
□ 1
 
4.8%
★ 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 1482
92.7%
[ 107
 
6.7%
『 5
 
0.3%
《 3
 
0.2%
「 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1482
92.7%
] 107
 
6.7%
』 5
 
0.3%
》 3
 
0.2%
」 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 21
40.4%
Ⅱ 17
32.7%
Ⅲ 8
 
15.4%
Ⅳ 4
 
7.7%
Ⅴ 2
 
3.8%
Modifier Symbol
ValueCountFrequency (%)
` 53
85.5%
´ 9
 
14.5%
Space Separator
ValueCountFrequency (%)
48712
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 369
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153309
64.5%
Common 70070
29.5%
Latin 13661
 
5.7%
Han 735
 
0.3%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4539
 
3.0%
이 3261
 
2.1%
는 2762
 
1.8%
기 2593
 
1.7%
사 2457
 
1.6%
한 2206
 
1.4%
지 2077
 
1.4%
가 1984
 
1.3%
리 1826
 
1.2%
다 1694
 
1.1%
Other values (1178) 127910
83.4%
Han
ValueCountFrequency (%)
國 34
 
4.6%
河 30
 
4.1%
大 29
 
3.9%
三 29
 
3.9%
君 29
 
3.9%
主 29
 
3.9%
史 25
 
3.4%
月 24
 
3.3%
歷 17
 
2.3%
王 15
 
2.0%
Other values (183) 474
64.5%
Common
ValueCountFrequency (%)
48712
69.5%
: 5086
 
7.3%
1 2056
 
2.9%
0 1916
 
2.7%
2 1872
 
2.7%
. 1595
 
2.3%
( 1482
 
2.1%
) 1482
 
2.1%
, 1219
 
1.7%
3 650
 
0.9%
Other values (47) 4000
 
5.7%
Latin
ValueCountFrequency (%)
e 1109
 
8.1%
o 941
 
6.9%
a 904
 
6.6%
n 903
 
6.6%
i 898
 
6.6%
t 838
 
6.1%
r 781
 
5.7%
s 670
 
4.9%
l 426
 
3.1%
S 365
 
2.7%
Other values (47) 5826
42.6%
Hiragana
ValueCountFrequency (%)
の 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153297
64.5%
ASCII 83086
34.9%
CJK 708
 
0.3%
None 567
 
0.2%
Number Forms 52
 
< 0.1%
CJK Compat Ideographs 27
 
< 0.1%
Enclosed Alphanum 12
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Punctuation 6
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48712
58.6%
: 5086
 
6.1%
1 2056
 
2.5%
0 1916
 
2.3%
2 1872
 
2.3%
. 1595
 
1.9%
( 1482
 
1.8%
) 1482
 
1.8%
, 1219
 
1.5%
e 1109
 
1.3%
Other values (75) 16557
 
19.9%
Hangul
ValueCountFrequency (%)
의 4539
 
3.0%
이 3261
 
2.1%
는 2762
 
1.8%
기 2593
 
1.7%
사 2457
 
1.6%
한 2206
 
1.4%
지 2077
 
1.4%
가 1984
 
1.3%
리 1826
 
1.2%
다 1694
 
1.1%
Other values (1175) 127898
83.4%
None
ValueCountFrequency (%)
· 492
86.8%
＆ 20
 
3.5%
％ 13
 
2.3%
´ 9
 
1.6%
』 5
 
0.9%
『 5
 
0.9%
｜ 4
 
0.7%
？ 4
 
0.7%
《 3
 
0.5%
》 3
 
0.5%
Other values (7) 9
 
1.6%
CJK
ValueCountFrequency (%)
國 34
 
4.8%
河 30
 
4.2%
大 29
 
4.1%
三 29
 
4.1%
君 29
 
4.1%
主 29
 
4.1%
史 25
 
3.5%
月 24
 
3.4%
王 15
 
2.1%
代 15
 
2.1%
Other values (174) 449
63.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 21
40.4%
Ⅱ 17
32.7%
Ⅲ 8
 
15.4%
Ⅳ 4
 
7.7%
Ⅴ 2
 
3.8%
CJK Compat Ideographs
ValueCountFrequency (%)
歷 17
63.0%
理 2
 
7.4%
金 2
 
7.4%
龍 1
 
3.7%
勞 1
 
3.7%
六 1
 
3.7%
年 1
 
3.7%
李 1
 
3.7%
戀 1
 
3.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 12
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
75.0%
ㅅ 2
 
16.7%
ㅎ 1
 
8.3%
Punctuation
ValueCountFrequency (%)
… 6
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
75.0%
™ 1
 
25.0%
Hiragana
ValueCountFrequency (%)
の 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자
Text

Distinct6438
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T23:38:47.800814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length63
Mean length8.0183
Min length2

Characters and Unicode

Total characters80183
Distinct characters978
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5268 ?
Unique (%)52.7%

Sample

1st row안진헌 지음
2nd row최광해 지음
3rd row한국해양수산개발원
4th row핀, A. J. 지음
5th row김현기 지음
ValueCountFrequency (%)
지음 5383
 
25.8%
글·그림 295
 
1.4%
글 223
 
1.1%
해양수산부 186
 
0.9%
저 178
 
0.9%
by 142
 
0.7%
한국해양수산개발원 141
 
0.7%
국토해양부 134
 
0.6%
편 82
 
0.4%
외 81
 
0.4%
Other values (7359) 14048
67.2%
2024-03-14T23:38:49.078701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10895
 
13.6%
지 6020
 
7.5%
음 5589
 
7.0%
, 3194
 
4.0%
이 1650
 
2.1%
김 1117
 
1.4%
스 858
 
1.1%
국 825
 
1.0%
수 734
 
0.9%
해 718
 
0.9%
Other values (968) 48583
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59713
74.5%
Space Separator 10895
 
13.6%
Other Punctuation 4117
 
5.1%
Lowercase Letter 3091
 
3.9%
Uppercase Letter 1384
 
1.7%
Open Punctuation 439
 
0.5%
Close Punctuation 432
 
0.5%
Decimal Number 51
 
0.1%
Math Symbol 34
 
< 0.1%
Dash Punctuation 22
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6020
 
10.1%
음 5589
 
9.4%
이 1650
 
2.8%
김 1117
 
1.9%
스 858
 
1.4%
국 825
 
1.4%
수 734
 
1.2%
해 718
 
1.2%
양 699
 
1.2%
리 699
 
1.2%
Other values (887) 40804
68.3%
Lowercase Letter
ValueCountFrequency (%)
e 390
12.6%
a 285
 
9.2%
n 251
 
8.1%
r 234
 
7.6%
i 234
 
7.6%
o 210
 
6.8%
y 195
 
6.3%
t 180
 
5.8%
b 176
 
5.7%
l 162
 
5.2%
Other values (16) 774
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 136
 
9.8%
M 115
 
8.3%
C 109
 
7.9%
K 108
 
7.8%
A 100
 
7.2%
B 100
 
7.2%
R 78
 
5.6%
J 72
 
5.2%
T 63
 
4.6%
I 51
 
3.7%
Other values (16) 452
32.7%
Decimal Number
ValueCountFrequency (%)
1 11
21.6%
2 10
19.6%
0 7
13.7%
3 6
11.8%
7 4
 
7.8%
6 4
 
7.8%
4 4
 
7.8%
9 3
 
5.9%
8 2
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 3194
77.6%
. 456
 
11.1%
· 432
 
10.5%
; 22
 
0.5%
/ 4
 
0.1%
& 3
 
0.1%
' 3
 
0.1%
: 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 270
61.5%
( 159
36.2%
〈 10
 
2.3%
Close Punctuation
ValueCountFrequency (%)
] 262
60.6%
) 160
37.0%
〉 10
 
2.3%
Math Symbol
ValueCountFrequency (%)
< 17
50.0%
> 17
50.0%
Space Separator
ValueCountFrequency (%)
10895
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59531
74.2%
Common 15995
 
19.9%
Latin 4475
 
5.6%
Han 182
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6020
 
10.1%
음 5589
 
9.4%
이 1650
 
2.8%
김 1117
 
1.9%
스 858
 
1.4%
국 825
 
1.4%
수 734
 
1.2%
해 718
 
1.2%
양 699
 
1.2%
리 699
 
1.2%
Other values (782) 40622
68.2%
Han
ValueCountFrequency (%)
著 21
 
11.5%
編 9
 
4.9%
硏 7
 
3.8%
船 4
 
2.2%
究 4
 
2.2%
會 4
 
2.2%
國 3
 
1.6%
韓 3
 
1.6%
産 3
 
1.6%
李 3
 
1.6%
Other values (95) 121
66.5%
Latin
ValueCountFrequency (%)
e 390
 
8.7%
a 285
 
6.4%
n 251
 
5.6%
r 234
 
5.2%
i 234
 
5.2%
o 210
 
4.7%
y 195
 
4.4%
t 180
 
4.0%
b 176
 
3.9%
l 162
 
3.6%
Other values (42) 2158
48.2%
Common
ValueCountFrequency (%)
10895
68.1%
, 3194
 
20.0%
. 456
 
2.9%
· 432
 
2.7%
[ 270
 
1.7%
] 262
 
1.6%
) 160
 
1.0%
( 159
 
1.0%
- 22
 
0.1%
; 22
 
0.1%
Other values (19) 123
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59531
74.2%
ASCII 20014
 
25.0%
None 452
 
0.6%
CJK 178
 
0.2%
Enclosed Alphanum 4
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10895
54.4%
, 3194
 
16.0%
. 456
 
2.3%
e 390
 
1.9%
a 285
 
1.4%
[ 270
 
1.3%
] 262
 
1.3%
n 251
 
1.3%
r 234
 
1.2%
i 234
 
1.2%
Other values (67) 3543
 
17.7%
Hangul
ValueCountFrequency (%)
지 6020
 
10.1%
음 5589
 
9.4%
이 1650
 
2.8%
김 1117
 
1.9%
스 858
 
1.4%
국 825
 
1.4%
수 734
 
1.2%
해 718
 
1.2%
양 699
 
1.2%
리 699
 
1.2%
Other values (782) 40622
68.2%
None
ValueCountFrequency (%)
· 432
95.6%
〈 10
 
2.2%
〉 10
 
2.2%
CJK
ValueCountFrequency (%)
著 21
 
11.8%
編 9
 
5.1%
硏 7
 
3.9%
船 4
 
2.2%
究 4
 
2.2%
會 4
 
2.2%
國 3
 
1.7%
韓 3
 
1.7%
産 3
 
1.7%
法 3
 
1.7%
Other values (93) 117
65.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 3
75.0%
利 1
 
25.0%

출판사
Text

Distinct2802
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T23:38:50.037454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length32
Mean length5.4428
Min length1

Characters and Unicode

Total characters54428
Distinct characters759
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1574 ?
Unique (%)15.7%

Sample

1st row중앙북스
2nd row21세기북스
3rd row한국해양수산개발원
4th row비채김영사
5th row한스컨텐츠
ValueCountFrequency (%)
한국해양수산개발원 355
 
3.4%
문학동네 188
 
1.8%
해양수산부 151
 
1.4%
민음사 134
 
1.3%
위즈덤하우스 133
 
1.3%
김영사 126
 
1.2%
창비 125
 
1.2%
국토해양부 120
 
1.1%
황금가지 91
 
0.9%
21세기북스 82
 
0.8%
Other values (2881) 8990
85.7%
2024-03-14T23:38:51.279264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1723
 
3.2%
사 1453
 
2.7%
한 1342
 
2.5%
산 1295
 
2.4%
국 1276
 
2.3%
해 1128
 
2.1%
북 1095
 
2.0%
원 989
 
1.8%
양 977
 
1.8%
이 841
 
1.5%
Other values (749) 42309
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47915
88.0%
Lowercase Letter 2796
 
5.1%
Uppercase Letter 1643
 
3.0%
Other Punctuation 590
 
1.1%
Space Separator 528
 
1.0%
Decimal Number 374
 
0.7%
Close Punctuation 288
 
0.5%
Open Punctuation 278
 
0.5%
Dash Punctuation 8
 
< 0.1%
Modifier Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1723
 
3.6%
사 1453
 
3.0%
한 1342
 
2.8%
산 1295
 
2.7%
국 1276
 
2.7%
해 1128
 
2.4%
북 1095
 
2.3%
원 989
 
2.1%
양 977
 
2.0%
이 841
 
1.8%
Other values (668) 35796
74.7%
Uppercase Letter
ValueCountFrequency (%)
B 204
12.4%
K 171
 
10.4%
M 169
 
10.3%
R 108
 
6.6%
H 103
 
6.3%
I 95
 
5.8%
A 88
 
5.4%
S 83
 
5.1%
P 81
 
4.9%
Y 67
 
4.1%
Other values (16) 474
28.8%
Lowercase Letter
ValueCountFrequency (%)
o 392
14.0%
s 269
 
9.6%
e 230
 
8.2%
a 222
 
7.9%
i 212
 
7.6%
r 197
 
7.0%
n 186
 
6.7%
k 143
 
5.1%
t 129
 
4.6%
l 127
 
4.5%
Other values (15) 689
24.6%
Other Punctuation
ValueCountFrequency (%)
; 307
52.0%
: 137
23.2%
, 55
 
9.3%
. 39
 
6.6%
& 28
 
4.7%
＆ 15
 
2.5%
· 3
 
0.5%
' 2
 
0.3%
# 2
 
0.3%
＃ 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 155
41.4%
1 144
38.5%
0 36
 
9.6%
4 11
 
2.9%
3 11
 
2.9%
8 9
 
2.4%
9 5
 
1.3%
7 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 281
97.6%
] 7
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 277
99.6%
[ 1
 
0.4%
Modifier Symbol
ValueCountFrequency (%)
` 6
85.7%
´ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47712
87.7%
Latin 4439
 
8.2%
Common 2074
 
3.8%
Han 203
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1723
 
3.6%
사 1453
 
3.0%
한 1342
 
2.8%
산 1295
 
2.7%
국 1276
 
2.7%
해 1128
 
2.4%
북 1095
 
2.3%
원 989
 
2.1%
양 977
 
2.0%
이 841
 
1.8%
Other values (614) 35593
74.6%
Han
ValueCountFrequency (%)
社 40
19.7%
英 21
 
10.3%
博 17
 
8.4%
文 13
 
6.4%
法 9
 
4.4%
韓 6
 
3.0%
國 6
 
3.0%
硏 5
 
2.5%
究 5
 
2.5%
學 4
 
2.0%
Other values (44) 77
37.9%
Latin
ValueCountFrequency (%)
o 392
 
8.8%
s 269
 
6.1%
e 230
 
5.2%
a 222
 
5.0%
i 212
 
4.8%
B 204
 
4.6%
r 197
 
4.4%
n 186
 
4.2%
K 171
 
3.9%
M 169
 
3.8%
Other values (41) 2187
49.3%
Common
ValueCountFrequency (%)
528
25.5%
; 307
14.8%
) 281
13.5%
( 277
13.4%
2 155
 
7.5%
1 144
 
6.9%
: 137
 
6.6%
, 55
 
2.7%
. 39
 
1.9%
0 36
 
1.7%
Other values (20) 115
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47711
87.7%
ASCII 6492
 
11.9%
CJK 203
 
0.4%
None 21
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1723
 
3.6%
사 1453
 
3.0%
한 1342
 
2.8%
산 1295
 
2.7%
국 1276
 
2.7%
해 1128
 
2.4%
북 1095
 
2.3%
원 989
 
2.1%
양 977
 
2.0%
이 841
 
1.8%
Other values (613) 35592
74.6%
ASCII
ValueCountFrequency (%)
528
 
8.1%
o 392
 
6.0%
; 307
 
4.7%
) 281
 
4.3%
( 277
 
4.3%
s 269
 
4.1%
e 230
 
3.5%
a 222
 
3.4%
i 212
 
3.3%
B 204
 
3.1%
Other values (66) 3570
55.0%
CJK
ValueCountFrequency (%)
社 40
19.7%
英 21
 
10.3%
博 17
 
8.4%
文 13
 
6.4%
法 9
 
4.4%
韓 6
 
3.0%
國 6
 
3.0%
硏 5
 
2.5%
究 5
 
2.5%
學 4
 
2.0%
Other values (44) 77
37.9%
None
ValueCountFrequency (%)
＆ 15
71.4%
· 3
 
14.3%
＃ 1
 
4.8%
´ 1
 
4.8%
× 1
 
4.8%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

출판년도
Real number (ℝ)

SKEWED 

Distinct41
Distinct (%)0.4%
Missing34
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2020.3282
Minimum20
Maximum20022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T23:38:51.517521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile2007
Q12012
median2015
Q32018
95-th percentile2022
Maximum20022
Range20002
Interquartile range (IQR)6

Descriptive statistics

Standard deviation313.05455
Coefficient of variation (CV)0.15495232
Kurtosis3290.323
Mean2020.3282
Median Absolute Deviation (MAD)3
Skewness57.221927
Sum20134591
Variance98003.153
MonotonicityNot monotonic
2024-03-14T23:38:51.767451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2016 921
 
9.2%
2015 882
 
8.8%
2017 849
 
8.5%
2013 802
 
8.0%
2018 748
 
7.5%
2012 741
 
7.4%
2014 701
 
7.0%
2019 626
 
6.3%
2020 618
 
6.2%
2022 486
 
4.9%
Other values (31) 2592
25.9%
ValueCountFrequency (%)
20 1
 
< 0.1%
1980 1
 
< 0.1%
1985 1
 
< 0.1%
1986 1
 
< 0.1%
1989 1
 
< 0.1%
1990 1
 
< 0.1%
1992 10
0.1%
1993 2
 
< 0.1%
1994 4
 
< 0.1%
1995 8
0.1%
ValueCountFrequency (%)
20022 1
 
< 0.1%
20021 2
 
< 0.1%
2046 1
 
< 0.1%
2023 258
 
2.6%
2022 486
4.9%
2021 462
4.6%
2020 618
6.2%
2019 626
6.3%
2018 748
7.5%
2017 849
8.5%

청구기호
Text

Distinct9811
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T23:38:53.104896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length12.6185
Min length5

Characters and Unicode

Total characters126185
Distinct characters567
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9642 ?
Unique (%)96.4%

Sample

1st row981.44502 안78ㅂ
2nd row327.95 최641I
3rd rowKMI529.05 한644ㅇ v.2017
4th row843.6 핀64ㅇ
5th row325.358 김94ㅅ
ValueCountFrequency (%)
v.2 414
 
1.8%
v.1 401
 
1.7%
818 369
 
1.6%
c.2 310
 
1.3%
813.7 271
 
1.2%
833.6 239
 
1.0%
843 225
 
1.0%
813.6 209
 
0.9%
v.3 207
 
0.9%
v.4 117
 
0.5%
Other values (8826) 20208
88.0%
2024-03-14T23:38:54.625657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12971
 
10.3%
. 10822
 
8.6%
3 10446
 
8.3%
2 9106
 
7.2%
1 8942
 
7.1%
8 8268
 
6.6%
5 7413
 
5.9%
6 7393
 
5.9%
4 6982
 
5.5%
9 6696
 
5.3%
Other values (557) 37146
29.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74851
59.3%
Other Letter 19495
 
15.4%
Space Separator 12971
 
10.3%
Other Punctuation 10823
 
8.6%
Uppercase Letter 4651
 
3.7%
Lowercase Letter 3096
 
2.5%
Dash Punctuation 253
 
0.2%
Close Punctuation 15
 
< 0.1%
Open Punctuation 15
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 2189
 
11.2%
ㅅ 1137
 
5.8%
ㄱ 1070
 
5.5%
ㅎ 1029
 
5.3%
김 963
 
4.9%
이 780
 
4.0%
ㅈ 779
 
4.0%
ㅂ 595
 
3.1%
한 572
 
2.9%
ㄷ 549
 
2.8%
Other values (492) 9832
50.4%
Uppercase Letter
ValueCountFrequency (%)
P 793
17.1%
G 747
16.1%
M 737
15.8%
K 442
9.5%
I 431
9.3%
C 422
9.1%
O 322
6.9%
F 319
6.9%
R 100
 
2.2%
T 98
 
2.1%
Other values (15) 240
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
v 2538
82.0%
c 442
 
14.3%
y 12
 
0.4%
s 12
 
0.4%
j 12
 
0.4%
p 11
 
0.4%
m 10
 
0.3%
i 8
 
0.3%
f 6
 
0.2%
o 5
 
0.2%
Other values (12) 40
 
1.3%
Decimal Number
ValueCountFrequency (%)
3 10446
14.0%
2 9106
12.2%
1 8942
11.9%
8 8268
11.0%
5 7413
9.9%
6 7393
9.9%
4 6982
9.3%
9 6696
8.9%
7 5369
7.2%
0 4236
5.7%
Other Punctuation
ValueCountFrequency (%)
. 10822
> 99.9%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 12
80.0%
~ 3
 
20.0%
Space Separator
ValueCountFrequency (%)
12971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Close Punctuation
ValueCountFrequency (%)
] 15
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98943
78.4%
Hangul 19495
 
15.4%
Latin 7747
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 2189
 
11.2%
ㅅ 1137
 
5.8%
ㄱ 1070
 
5.5%
ㅎ 1029
 
5.3%
김 963
 
4.9%
이 780
 
4.0%
ㅈ 779
 
4.0%
ㅂ 595
 
3.1%
한 572
 
2.9%
ㄷ 549
 
2.8%
Other values (492) 9832
50.4%
Latin
ValueCountFrequency (%)
v 2538
32.8%
P 793
 
10.2%
G 747
 
9.6%
M 737
 
9.5%
c 442
 
5.7%
K 442
 
5.7%
I 431
 
5.6%
C 422
 
5.4%
O 322
 
4.2%
F 319
 
4.1%
Other values (37) 554
 
7.2%
Common
ValueCountFrequency (%)
12971
13.1%
. 10822
10.9%
3 10446
10.6%
2 9106
9.2%
1 8942
9.0%
8 8268
8.4%
5 7413
7.5%
6 7393
7.5%
4 6982
7.1%
9 6696
6.8%
Other values (8) 9904
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106690
84.6%
Hangul 9993
 
7.9%
Compat Jamo 9502
 
7.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12971
12.2%
. 10822
10.1%
3 10446
9.8%
2 9106
8.5%
1 8942
8.4%
8 8268
7.7%
5 7413
6.9%
6 7393
6.9%
4 6982
 
6.5%
9 6696
 
6.3%
Other values (55) 17651
16.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2189
23.0%
ㅅ 1137
12.0%
ㄱ 1070
11.3%
ㅎ 1029
10.8%
ㅈ 779
 
8.2%
ㅂ 595
 
6.3%
ㄷ 549
 
5.8%
ㅁ 524
 
5.5%
ㄴ 514
 
5.4%
ㅊ 301
 
3.2%
Other values (9) 815
 
8.6%
Hangul
ValueCountFrequency (%)
김 963
 
9.6%
이 780
 
7.8%
한 572
 
5.7%
박 343
 
3.4%
최 242
 
2.4%
정 228
 
2.3%
국 220
 
2.2%
해 205
 
2.1%
조 194
 
1.9%
울 176
 
1.8%
Other values (473) 6070
60.7%

Interactions

2024-03-14T23:38:39.809332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:38:54.782010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분출판년도
구분1.0000.234
출판년도0.2341.000
2024-03-14T23:38:54.917951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년도구분
출판년도1.0000.152
구분0.1521.000

Missing values

2024-03-14T23:38:40.365666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:38:40.749464image/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

등록번호구분자료명저자출판사출판년도청구기호
40810004494일반도서(프렌즈) 방콕안진헌 지음중앙북스2016981.44502 안78ㅂ
49060005370일반도서IMF 견문록 : 세계경제의 중심 IMF 700일간의 기록최광해 지음21세기북스2016327.95 최641I
12286KMI0272한국해양수산개발원(KMI)2017 수산·해양환경 통계한국해양수산개발원한국해양수산개발원2017KMI529.05 한644ㅇ v.2017
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