Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells131140
Missing cells (%)42.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory267.0 B

Variable types

Text10
Categorical11
Unsupported10

Dataset

Description역사관련 사이트 메타데이터 기반 통합 검색을 위하여 한국역사정보통합시스템이 제공 중인 역사 자료 메타데이터 중 멀티미디어 자료
Author교육부 국사편찬위원회
URLhttps://www.data.go.kr/data/15051037/fileData.do

Alerts

SUBJECT_KHON1 has constant value ""Constant
UNIT has constant value ""Constant
ALTERNATIVE has 4430 (44.3%) missing valuesMissing
DOCSENDER has 10000 (100.0%) missing valuesMissing
EDITOR has 10000 (100.0%) missing valuesMissing
AUTHOR has 10000 (100.0%) missing valuesMissing
TYPE has 10000 (100.0%) missing valuesMissing
PUBLISHER has 10000 (100.0%) missing valuesMissing
TABLEOFCONTENTS has 10000 (100.0%) missing valuesMissing
ABSTRACT has 4430 (44.3%) missing valuesMissing
ISPARTOF_ID has 5570 (55.7%) missing valuesMissing
ISPARTOF has 5570 (55.7%) missing valuesMissing
REQUIRES has 10000 (100.0%) missing valuesMissing
DATEEVENT has 10000 (100.0%) missing valuesMissing
DOCCREATED has 5570 (55.7%) missing valuesMissing
DOCISSUED has 10000 (100.0%) missing valuesMissing
CREATORSORT has 10000 (100.0%) missing valuesMissing
DATESORT has 5570 (55.7%) missing valuesMissing
URI_KHON has unique valuesUnique
URI_KHDP has unique valuesUnique
URL has unique valuesUnique
DOCSENDER is an unsupported type, check if it needs cleaning or further analysisUnsupported
EDITOR is an unsupported type, check if it needs cleaning or further analysisUnsupported
AUTHOR is an unsupported type, check if it needs cleaning or further analysisUnsupported
TYPE is an unsupported type, check if it needs cleaning or further analysisUnsupported
PUBLISHER is an unsupported type, check if it needs cleaning or further analysisUnsupported
TABLEOFCONTENTS is an unsupported type, check if it needs cleaning or further analysisUnsupported
REQUIRES is an unsupported type, check if it needs cleaning or further analysisUnsupported
DATEEVENT is an unsupported type, check if it needs cleaning or further analysisUnsupported
DOCISSUED is an unsupported type, check if it needs cleaning or further analysisUnsupported
CREATORSORT is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:45:24.216106
Analysis finished2023-12-12 11:45:27.683837
Duration3.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

URI_KHON
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:45:27.906997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length24.013
Min length19

Characters and Unicode

Total characters240130
Distinct characters20
Distinct categories4 ?
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 rowKH.AKS.0539_23_5579
2nd rowKH.AKS.0059_08_5121
3rd rowKH.AKS.0278_03_5705
4th rowKH.AKS.0196_14_5825
5th rowKH.AC.AC_ENG_0369_01_0204_02
ValueCountFrequency (%)
kh.aks.0539_23_5579 1
 
< 0.1%
kh.aks.0023_01_5069 1
 
< 0.1%
kh.aks.0589_08_5612 1
 
< 0.1%
kh.ac.ac_eng_0088_01_0317_01 1
 
< 0.1%
kh.aks.0078_20_5145 1
 
< 0.1%
kh.ac.ac_eng_0268_01_0339_02 1
 
< 0.1%
kh.ac.ac_eng_0098_01_0418_01 1
 
< 0.1%
kh.ac.ac_eng_0366_01_0278_01 1
 
< 0.1%
kh.ac.ac_eng_0014_01_0180_01 1
 
< 0.1%
kh.aks.0522_01_5561 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T20:45:28.396849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37315
15.5%
_ 36710
15.3%
. 20000
 
8.3%
1 19233
 
8.0%
A 15570
 
6.5%
K 14430
 
6.0%
C 11140
 
4.6%
5 10576
 
4.4%
H 10000
 
4.2%
2 9261
 
3.9%
Other values (10) 55895
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111140
46.3%
Uppercase Letter 72280
30.1%
Connector Punctuation 36710
 
15.3%
Other Punctuation 20000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37315
33.6%
1 19233
17.3%
5 10576
 
9.5%
2 9261
 
8.3%
3 8509
 
7.7%
4 6518
 
5.9%
6 5615
 
5.1%
8 5192
 
4.7%
7 4948
 
4.5%
9 3973
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 15570
21.5%
K 14430
20.0%
C 11140
15.4%
H 10000
13.8%
E 5570
 
7.7%
N 5570
 
7.7%
G 5570
 
7.7%
S 4430
 
6.1%
Connector Punctuation
ValueCountFrequency (%)
_ 36710
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 167850
69.9%
Latin 72280
30.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37315
22.2%
_ 36710
21.9%
. 20000
11.9%
1 19233
11.5%
5 10576
 
6.3%
2 9261
 
5.5%
3 8509
 
5.1%
4 6518
 
3.9%
6 5615
 
3.3%
8 5192
 
3.1%
Other values (2) 8921
 
5.3%
Latin
ValueCountFrequency (%)
A 15570
21.5%
K 14430
20.0%
C 11140
15.4%
H 10000
13.8%
E 5570
 
7.7%
N 5570
 
7.7%
G 5570
 
7.7%
S 4430
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37315
15.5%
_ 36710
15.3%
. 20000
 
8.3%
1 19233
 
8.0%
A 15570
 
6.5%
K 14430
 
6.0%
C 11140
 
4.6%
5 10576
 
4.4%
H 10000
 
4.2%
2 9261
 
3.9%
Other values (10) 55895
23.3%

MDCENTER
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC
5570 
AKS
4430 

Length

Max length3
Median length2
Mean length2.443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAKS
2nd rowAKS
3rd rowAKS
4th rowAKS
5th rowAC

Common Values

ValueCountFrequency (%)
AC 5570
55.7%
AKS 4430
44.3%

Length

2023-12-12T20:45:28.575958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:28.700848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac 5570
55.7%
aks 4430
44.3%

SUBJECT_KHON
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KH.13.01.011
5570 
KH.13.02.001
4430 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKH.13.02.001
2nd rowKH.13.02.001
3rd rowKH.13.02.001
4th rowKH.13.02.001
5th rowKH.13.01.011

Common Values

ValueCountFrequency (%)
KH.13.01.011 5570
55.7%
KH.13.02.001 4430
44.3%

Length

2023-12-12T20:45:28.819072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:28.914638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kh.13.01.011 5570
55.7%
kh.13.02.001 4430
44.3%

DBINFO
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서양고서
5570 
한국민요대관
4430 

Length

Max length6
Median length4
Mean length4.886
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국민요대관
2nd row한국민요대관
3rd row한국민요대관
4th row한국민요대관
5th row서양고서

Common Values

ValueCountFrequency (%)
서양고서 5570
55.7%
한국민요대관 4430
44.3%

Length

2023-12-12T20:45:29.021503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:29.124439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서양고서 5570
55.7%
한국민요대관 4430
44.3%

URI_KHDP
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:45:29.358470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length17.57
Min length12

Characters and Unicode

Total characters175700
Distinct characters16
Distinct categories3 ?
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 row0539_23_5579
2nd row0059_08_5121
3rd row0278_03_5705
4th row0196_14_5825
5th rowAC_ENG_0369_01_0204_02
ValueCountFrequency (%)
0539_23_5579 1
 
< 0.1%
0023_01_5069 1
 
< 0.1%
0589_08_5612 1
 
< 0.1%
ac_eng_0088_01_0317_01 1
 
< 0.1%
0078_20_5145 1
 
< 0.1%
ac_eng_0268_01_0339_02 1
 
< 0.1%
ac_eng_0098_01_0418_01 1
 
< 0.1%
ac_eng_0366_01_0278_01 1
 
< 0.1%
ac_eng_0014_01_0180_01 1
 
< 0.1%
0522_01_5561 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T20:45:29.730898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37315
21.2%
_ 36710
20.9%
1 19233
10.9%
5 10576
 
6.0%
2 9261
 
5.3%
3 8509
 
4.8%
4 6518
 
3.7%
6 5615
 
3.2%
A 5570
 
3.2%
C 5570
 
3.2%
Other values (6) 30823
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111140
63.3%
Connector Punctuation 36710
 
20.9%
Uppercase Letter 27850
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37315
33.6%
1 19233
17.3%
5 10576
 
9.5%
2 9261
 
8.3%
3 8509
 
7.7%
4 6518
 
5.9%
6 5615
 
5.1%
8 5192
 
4.7%
7 4948
 
4.5%
9 3973
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 5570
20.0%
C 5570
20.0%
E 5570
20.0%
N 5570
20.0%
G 5570
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 147850
84.1%
Latin 27850
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37315
25.2%
_ 36710
24.8%
1 19233
13.0%
5 10576
 
7.2%
2 9261
 
6.3%
3 8509
 
5.8%
4 6518
 
4.4%
6 5615
 
3.8%
8 5192
 
3.5%
7 4948
 
3.3%
Latin
ValueCountFrequency (%)
A 5570
20.0%
C 5570
20.0%
E 5570
20.0%
N 5570
20.0%
G 5570
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37315
21.2%
_ 36710
20.9%
1 19233
10.9%
5 10576
 
6.0%
2 9261
 
5.3%
3 8509
 
4.8%
4 6518
 
3.7%
6 5615
 
3.2%
A 5570
 
3.2%
C 5570
 
3.2%
Other values (6) 30823
17.5%
Distinct6848
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:45:30.075967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length185
Mean length29.0554
Min length1

Characters and Unicode

Total characters290554
Distinct characters1175
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6508 ?
Unique (%)65.1%

Sample

1st row토끼타령
2nd row곱새치기소리
3rd row창부타령
4th row창부타령
5th rowTHERESA MULLIN, Bootle, Liverpool.
ValueCountFrequency (%)
the 2974
 
6.3%
of 1991
 
4.2%
a 1044
 
2.2%
in 1010
 
2.1%
fig 777
 
1.6%
and 693
 
1.5%
at 487
 
1.0%
450
 
0.9%
to 357
 
0.8%
창부타령 334
 
0.7%
Other values (11469) 37409
78.7%
2023-12-12T20:45:30.603281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37551
 
12.9%
e 13500
 
4.6%
a 10409
 
3.6%
n 9545
 
3.3%
o 9263
 
3.2%
i 9152
 
3.1%
E 9092
 
3.1%
A 8705
 
3.0%
t 8351
 
2.9%
r 7766
 
2.7%
Other values (1165) 167220
57.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 114110
39.3%
Uppercase Letter 93606
32.2%
Space Separator 37551
 
12.9%
Other Letter 24041
 
8.3%
Other Punctuation 11681
 
4.0%
Decimal Number 4422
 
1.5%
Dash Punctuation 2057
 
0.7%
Open Punctuation 1528
 
0.5%
Close Punctuation 1526
 
0.5%
Letter Number 10
 
< 0.1%
Other values (6) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1778
 
7.4%
1332
 
5.5%
1129
 
4.7%
1097
 
4.6%
819
 
3.4%
786
 
3.3%
778
 
3.2%
657
 
2.7%
462
 
1.9%
412
 
1.7%
Other values (1032) 14791
61.5%
Lowercase Letter
ValueCountFrequency (%)
e 13500
11.8%
a 10409
 
9.1%
n 9545
 
8.4%
o 9263
 
8.1%
i 9152
 
8.0%
t 8351
 
7.3%
r 7766
 
6.8%
s 6587
 
5.8%
h 5571
 
4.9%
l 5012
 
4.4%
Other values (41) 28954
25.4%
Uppercase Letter
ValueCountFrequency (%)
E 9092
 
9.7%
A 8705
 
9.3%
T 7257
 
7.8%
I 6809
 
7.3%
N 6777
 
7.2%
S 6350
 
6.8%
O 6123
 
6.5%
R 5976
 
6.4%
H 4586
 
4.9%
C 3571
 
3.8%
Other values (30) 28360
30.3%
Other Punctuation
ValueCountFrequency (%)
. 7487
64.1%
, 2710
 
23.2%
" 583
 
5.0%
' 478
 
4.1%
: 182
 
1.6%
; 111
 
1.0%
/ 51
 
0.4%
! 38
 
0.3%
& 18
 
0.2%
? 18
 
0.2%
Other values (2) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 1003
22.7%
2 648
14.7%
3 407
9.2%
0 397
 
9.0%
9 379
 
8.6%
4 349
 
7.9%
8 330
 
7.5%
6 319
 
7.2%
5 303
 
6.9%
7 287
 
6.5%
Letter Number
ValueCountFrequency (%)
4
40.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 1524
99.7%
[ 4
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1522
99.7%
] 4
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
= 1
 
16.7%
Space Separator
ValueCountFrequency (%)
37551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2057
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Other Number
ValueCountFrequency (%)
½ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
» 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 207726
71.5%
Common 58787
 
20.2%
Hangul 22610
 
7.8%
Han 1394
 
0.5%
Katakana 37
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1778
 
7.9%
1332
 
5.9%
1129
 
5.0%
1097
 
4.9%
819
 
3.6%
786
 
3.5%
778
 
3.4%
657
 
2.9%
462
 
2.0%
412
 
1.8%
Other values (606) 13360
59.1%
Han
ValueCountFrequency (%)
56
 
4.0%
52
 
3.7%
41
 
2.9%
38
 
2.7%
35
 
2.5%
32
 
2.3%
29
 
2.1%
24
 
1.7%
24
 
1.7%
24
 
1.7%
Other values (397) 1039
74.5%
Latin
ValueCountFrequency (%)
e 13500
 
6.5%
a 10409
 
5.0%
n 9545
 
4.6%
o 9263
 
4.5%
i 9152
 
4.4%
E 9092
 
4.4%
A 8705
 
4.2%
t 8351
 
4.0%
r 7766
 
3.7%
T 7257
 
3.5%
Other values (88) 114686
55.2%
Common
ValueCountFrequency (%)
37551
63.9%
. 7487
 
12.7%
, 2710
 
4.6%
- 2057
 
3.5%
( 1524
 
2.6%
) 1522
 
2.6%
1 1003
 
1.7%
2 648
 
1.1%
" 583
 
1.0%
' 478
 
0.8%
Other values (25) 3224
 
5.5%
Katakana
ValueCountFrequency (%)
11
29.7%
4
 
10.8%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
1
 
2.7%
1
 
2.7%
1
 
2.7%
Other values (9) 9
24.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265760
91.5%
Hangul 22610
 
7.8%
CJK 1393
 
0.5%
None 734
 
0.3%
Katakana 37
 
< 0.1%
Number Forms 10
 
< 0.1%
Misc Symbols 5
 
< 0.1%
Punctuation 4
 
< 0.1%
CJK Ext A 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37551
 
14.1%
e 13500
 
5.1%
a 10409
 
3.9%
n 9545
 
3.6%
o 9263
 
3.5%
i 9152
 
3.4%
E 9092
 
3.4%
A 8705
 
3.3%
t 8351
 
3.1%
r 7766
 
2.9%
Other values (71) 142426
53.6%
Hangul
ValueCountFrequency (%)
1778
 
7.9%
1332
 
5.9%
1129
 
5.0%
1097
 
4.9%
819
 
3.6%
786
 
3.5%
778
 
3.4%
657
 
2.9%
462
 
2.0%
412
 
1.8%
Other values (606) 13360
59.1%
None
ValueCountFrequency (%)
ŏ 164
22.3%
é 153
20.8%
è 59
 
8.0%
ô 53
 
7.2%
ō 47
 
6.4%
â 26
 
3.5%
à 21
 
2.9%
É 18
 
2.5%
ê 18
 
2.5%
Ö 14
 
1.9%
Other values (33) 161
21.9%
CJK
ValueCountFrequency (%)
56
 
4.0%
52
 
3.7%
41
 
2.9%
38
 
2.7%
35
 
2.5%
32
 
2.3%
29
 
2.1%
24
 
1.7%
24
 
1.7%
24
 
1.7%
Other values (396) 1038
74.5%
Katakana
ValueCountFrequency (%)
11
29.7%
4
 
10.8%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
1
 
2.7%
1
 
2.7%
1
 
2.7%
Other values (9) 9
24.3%
Misc Symbols
ValueCountFrequency (%)
5
100.0%
Number Forms
ValueCountFrequency (%)
4
40.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
Punctuation
ValueCountFrequency (%)
4
100.0%
CJK Ext A
ValueCountFrequency (%)
1
100.0%

ALTERNATIVE
Text

MISSING 

Distinct5365
Distinct (%)96.3%
Missing4430
Missing (%)44.3%
Memory size156.2 KiB
2023-12-12T20:45:31.033810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length125
Mean length18.92675
Min length1

Characters and Unicode

Total characters105422
Distinct characters1224
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5245 ?
Unique (%)94.2%

Sample

1st row테레사 뮬린, 부틀, 리버풀
2nd row달간의 미국인 학생들
3rd row옛 지방 관청
4th row조지 케네디, 카타운 하우스, 킬디모
5th row닛코 위쪽에 있는 케곤 폭포는 "우주의 신비를 풀 수 없어" 자살하는 일본 젊은이들의 성지이다
ValueCountFrequency (%)
357
 
1.3%
있는 225
 
0.8%
일본 221
 
0.8%
중국 162
 
0.6%
있다 159
 
0.6%
서울 148
 
0.6%
신부 133
 
0.5%
모습 128
 
0.5%
fig 108
 
0.4%
한국의 101
 
0.4%
Other values (13007) 25070
93.5%
2023-12-12T20:45:31.686541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21271
 
20.2%
2930
 
2.8%
, 1772
 
1.7%
. 1502
 
1.4%
1495
 
1.4%
1399
 
1.3%
1282
 
1.2%
1092
 
1.0%
1073
 
1.0%
1002
 
1.0%
Other values (1214) 70604
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71411
67.7%
Space Separator 21271
 
20.2%
Other Punctuation 4176
 
4.0%
Decimal Number 2963
 
2.8%
Uppercase Letter 2239
 
2.1%
Lowercase Letter 2188
 
2.1%
Dash Punctuation 487
 
0.5%
Open Punctuation 339
 
0.3%
Close Punctuation 339
 
0.3%
Math Symbol 5
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2930
 
4.1%
1495
 
2.1%
1399
 
2.0%
1282
 
1.8%
1092
 
1.5%
1073
 
1.5%
1002
 
1.4%
991
 
1.4%
944
 
1.3%
898
 
1.3%
Other values (1111) 58305
81.6%
Lowercase Letter
ValueCountFrequency (%)
a 267
12.2%
i 230
 
10.5%
n 222
 
10.1%
e 176
 
8.0%
o 148
 
6.8%
u 130
 
5.9%
h 109
 
5.0%
s 97
 
4.4%
g 96
 
4.4%
r 86
 
3.9%
Other values (28) 627
28.7%
Uppercase Letter
ValueCountFrequency (%)
I 241
 
10.8%
G 179
 
8.0%
N 174
 
7.8%
A 161
 
7.2%
S 154
 
6.9%
F 137
 
6.1%
H 118
 
5.3%
T 116
 
5.2%
O 108
 
4.8%
M 102
 
4.6%
Other values (21) 749
33.5%
Other Punctuation
ValueCountFrequency (%)
, 1772
42.4%
. 1502
36.0%
" 494
 
11.8%
: 170
 
4.1%
; 92
 
2.2%
/ 54
 
1.3%
' 30
 
0.7%
! 25
 
0.6%
? 15
 
0.4%
& 12
 
0.3%
Other values (2) 10
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 738
24.9%
2 423
14.3%
0 292
 
9.9%
9 257
 
8.7%
3 243
 
8.2%
4 208
 
7.0%
6 208
 
7.0%
8 206
 
7.0%
5 201
 
6.8%
7 187
 
6.3%
Letter Number
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 338
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 338
99.7%
] 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
21271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 487
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71320
67.7%
Common 29581
28.1%
Latin 4430
 
4.2%
Han 91
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2930
 
4.1%
1495
 
2.1%
1399
 
2.0%
1282
 
1.8%
1092
 
1.5%
1073
 
1.5%
1002
 
1.4%
991
 
1.4%
944
 
1.3%
898
 
1.3%
Other values (1046) 58214
81.6%
Latin
ValueCountFrequency (%)
a 267
 
6.0%
I 241
 
5.4%
i 230
 
5.2%
n 222
 
5.0%
G 179
 
4.0%
e 176
 
4.0%
N 174
 
3.9%
A 161
 
3.6%
S 154
 
3.5%
o 148
 
3.3%
Other values (62) 2478
55.9%
Han
ValueCountFrequency (%)
12
 
13.2%
11
 
12.1%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
1
 
1.1%
1
 
1.1%
1
 
1.1%
Other values (55) 55
60.4%
Common
ValueCountFrequency (%)
21271
71.9%
, 1772
 
6.0%
. 1502
 
5.1%
1 738
 
2.5%
" 494
 
1.7%
- 487
 
1.6%
2 423
 
1.4%
( 338
 
1.1%
) 338
 
1.1%
0 292
 
1.0%
Other values (21) 1926
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71319
67.7%
ASCII 33912
32.2%
CJK 91
 
0.1%
None 87
 
0.1%
Punctuation 9
 
< 0.1%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21271
62.7%
, 1772
 
5.2%
. 1502
 
4.4%
1 738
 
2.2%
" 494
 
1.5%
- 487
 
1.4%
2 423
 
1.2%
( 338
 
1.0%
) 338
 
1.0%
0 292
 
0.9%
Other values (70) 6257
 
18.5%
Hangul
ValueCountFrequency (%)
2930
 
4.1%
1495
 
2.1%
1399
 
2.0%
1282
 
1.8%
1092
 
1.5%
1073
 
1.5%
1002
 
1.4%
991
 
1.4%
944
 
1.3%
898
 
1.3%
Other values (1045) 58213
81.6%
None
ValueCountFrequency (%)
ô 24
27.6%
â 24
27.6%
î 8
 
9.2%
ç 6
 
6.9%
ñ 4
 
4.6%
û 4
 
4.6%
É 2
 
2.3%
ö 2
 
2.3%
ä 2
 
2.3%
é 2
 
2.3%
Other values (9) 9
 
10.3%
CJK
ValueCountFrequency (%)
12
 
13.2%
11
 
12.1%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
1
 
1.1%
1
 
1.1%
1
 
1.1%
Other values (55) 55
60.4%
Punctuation
ValueCountFrequency (%)
9
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

DOCSENDER
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

EDITOR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

AUTHOR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

SUBJECT_KHON1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KH.13
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKH.13
2nd rowKH.13
3rd rowKH.13
4th rowKH.13
5th rowKH.13

Common Values

ValueCountFrequency (%)
KH.13 10000
100.0%

Length

2023-12-12T20:45:31.837810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:31.963403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kh.13 10000
100.0%

SUBJECT_KHON2
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KH.13.01
5570 
KH.13.02
4430 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKH.13.02
2nd rowKH.13.02
3rd rowKH.13.02
4th rowKH.13.02
5th rowKH.13.01

Common Values

ValueCountFrequency (%)
KH.13.01 5570
55.7%
KH.13.02 4430
44.3%

Length

2023-12-12T20:45:32.067021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:32.173313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kh.13.01 5570
55.7%
kh.13.02 4430
44.3%

SUBJECT_KHDP
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
um
4430 
e
2261 
c
2018 
d
1043 
a
 
151

Length

Max length2
Median length1
Mean length1.443
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowum
2nd rowum
3rd rowum
4th rowum
5th rowd

Common Values

ValueCountFrequency (%)
um 4430
44.3%
e 2261
22.6%
c 2018
20.2%
d 1043
 
10.4%
a 151
 
1.5%
b 97
 
1.0%

Length

2023-12-12T20:45:32.286080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:32.394066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
um 4430
44.3%
e 2261
22.6%
c 2018
20.2%
d 1043
 
10.4%
a 151
 
1.5%
b 97
 
1.0%

TYPE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

UNIT
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 10000
100.0%

Length

2023-12-12T20:45:32.502672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:32.609236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 10000
100.0%

PUBLISHER
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

FORMAT_MEDIUM
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
image/jpeg
5570 
text/xml|audio/asf
4430 

Length

Max length18
Median length10
Mean length13.544
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtext/xml|audio/asf
2nd rowtext/xml|audio/asf
3rd rowtext/xml|audio/asf
4th rowtext/xml|audio/asf
5th rowimage/jpeg

Common Values

ValueCountFrequency (%)
image/jpeg 5570
55.7%
text/xml|audio/asf 4430
44.3%

Length

2023-12-12T20:45:32.728031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:32.853040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
image/jpeg 5570
55.7%
text/xml|audio/asf 4430
44.3%

TABLEOFCONTENTS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

ABSTRACT
Text

MISSING 

Distinct261
Distinct (%)4.7%
Missing4430
Missing (%)44.3%
Memory size156.2 KiB
2023-12-12T20:45:33.161894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length603
Mean length77.147935
Min length14

Characters and Unicode

Total characters429714
Distinct characters374
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)1.8%

Sample

1st row출전 : The Far East ( )
2nd row출전 : The Far East ( )
3rd row출전 : Economic history of Chosen ( comp. in commemoration of the decennial of the Bank of Chosen )
4th row출전 : The Far East ( )
5th row출전 : Japan and Korea ( )
ValueCountFrequency (%)
17432
20.2%
the 6987
 
8.1%
출전 5570
 
6.4%
of 4429
 
5.1%
and 3423
 
4.0%
east 2159
 
2.5%
far 1767
 
2.0%
in 1588
 
1.8%
by 1540
 
1.8%
japan 1251
 
1.4%
Other values (2503) 40302
46.6%
2023-12-12T20:45:33.672621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80788
18.8%
a 31923
 
7.4%
e 29626
 
6.9%
n 23425
 
5.5%
o 21682
 
5.0%
t 20685
 
4.8%
i 20373
 
4.7%
s 19884
 
4.6%
r 19655
 
4.6%
h 15736
 
3.7%
Other values (364) 145937
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 272229
63.4%
Space Separator 80812
 
18.8%
Uppercase Letter 31139
 
7.2%
Other Punctuation 16578
 
3.9%
Other Letter 12215
 
2.8%
Open Punctuation 5744
 
1.3%
Close Punctuation 5743
 
1.3%
Decimal Number 3676
 
0.9%
Dash Punctuation 1382
 
0.3%
Control 190
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5579
45.7%
5570
45.6%
103
 
0.8%
101
 
0.8%
38
 
0.3%
29
 
0.2%
29
 
0.2%
22
 
0.2%
19
 
0.2%
14
 
0.1%
Other values (272) 711
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 31923
11.7%
e 29626
10.9%
n 23425
8.6%
o 21682
 
8.0%
t 20685
 
7.6%
i 20373
 
7.5%
s 19884
 
7.3%
r 19655
 
7.2%
h 15736
 
5.8%
l 11241
 
4.1%
Other values (26) 57999
21.3%
Uppercase Letter
ValueCountFrequency (%)
T 3482
11.2%
E 3452
11.1%
C 3410
11.0%
F 3061
9.8%
J 2375
 
7.6%
K 2140
 
6.9%
A 1864
 
6.0%
M 1560
 
5.0%
P 1272
 
4.1%
S 1086
 
3.5%
Other values (17) 7437
23.9%
Decimal Number
ValueCountFrequency (%)
1 942
25.6%
8 583
15.9%
6 503
13.7%
0 357
 
9.7%
5 334
 
9.1%
4 329
 
8.9%
9 283
 
7.7%
2 156
 
4.2%
3 149
 
4.1%
7 40
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 5941
35.8%
, 5175
31.2%
. 3540
21.4%
; 987
 
6.0%
' 583
 
3.5%
& 192
 
1.2%
/ 134
 
0.8%
" 26
 
0.2%
Space Separator
ValueCountFrequency (%)
80788
> 99.9%
  24
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5706
99.3%
[ 38
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 5705
99.3%
] 38
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1382
100.0%
Control
ValueCountFrequency (%)
190
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 303368
70.6%
Common 114131
 
26.6%
Hangul 12121
 
2.8%
Han 94
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5579
46.0%
5570
46.0%
103
 
0.8%
101
 
0.8%
38
 
0.3%
29
 
0.2%
29
 
0.2%
22
 
0.2%
19
 
0.2%
14
 
0.1%
Other values (214) 617
 
5.1%
Latin
ValueCountFrequency (%)
a 31923
 
10.5%
e 29626
 
9.8%
n 23425
 
7.7%
o 21682
 
7.1%
t 20685
 
6.8%
i 20373
 
6.7%
s 19884
 
6.6%
r 19655
 
6.5%
h 15736
 
5.2%
l 11241
 
3.7%
Other values (53) 89138
29.4%
Han
ValueCountFrequency (%)
8
 
8.5%
7
 
7.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.1%
2
 
2.1%
2
 
2.1%
Other values (48) 58
61.7%
Common
ValueCountFrequency (%)
80788
70.8%
: 5941
 
5.2%
( 5706
 
5.0%
) 5705
 
5.0%
, 5175
 
4.5%
. 3540
 
3.1%
- 1382
 
1.2%
; 987
 
0.9%
1 942
 
0.8%
8 583
 
0.5%
Other values (19) 3382
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417111
97.1%
Hangul 12121
 
2.8%
None 384
 
0.1%
CJK 94
 
< 0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80788
19.4%
a 31923
 
7.7%
e 29626
 
7.1%
n 23425
 
5.6%
o 21682
 
5.2%
t 20685
 
5.0%
i 20373
 
4.9%
s 19884
 
4.8%
r 19655
 
4.7%
h 15736
 
3.8%
Other values (67) 133334
32.0%
Hangul
ValueCountFrequency (%)
5579
46.0%
5570
46.0%
103
 
0.8%
101
 
0.8%
38
 
0.3%
29
 
0.2%
29
 
0.2%
22
 
0.2%
19
 
0.2%
14
 
0.1%
Other values (214) 617
 
5.1%
None
ValueCountFrequency (%)
ō 196
51.0%
é 124
32.3%
  24
 
6.2%
ö 14
 
3.6%
æ 6
 
1.6%
ü 6
 
1.6%
ä 3
 
0.8%
ï 2
 
0.5%
Ü 2
 
0.5%
è 2
 
0.5%
Other values (4) 5
 
1.3%
CJK
ValueCountFrequency (%)
8
 
8.5%
7
 
7.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.1%
2
 
2.1%
2
 
2.1%
Other values (48) 58
61.7%
Punctuation
ValueCountFrequency (%)
4
100.0%

ISPARTOF_ID
Text

MISSING 

Distinct643
Distinct (%)14.5%
Missing5570
Missing (%)55.7%
Memory size156.2 KiB
2023-12-12T20:45:33.953815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters66450
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)1.4%

Sample

1st rowKH.AKS.msu_5579
2nd rowKH.AKS.msu_5121
3rd rowKH.AKS.msu_5705
4th rowKH.AKS.msu_5825
5th rowKH.AKS.msu_5288
ValueCountFrequency (%)
kh.aks.msu_5731 31
 
0.7%
kh.aks.msu_5470 31
 
0.7%
kh.aks.msu_5806 30
 
0.7%
kh.aks.msu_5856 29
 
0.7%
kh.aks.msu_5851 28
 
0.6%
kh.aks.msu_5835 28
 
0.6%
kh.aks.msu_5847 26
 
0.6%
kh.aks.msu_5821 26
 
0.6%
kh.aks.msu_5153 25
 
0.6%
kh.aks.msu_5853 24
 
0.5%
Other values (633) 4152
93.7%
2023-12-12T20:45:34.382992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 8860
13.3%
. 8860
13.3%
5 6005
9.0%
A 4430
 
6.7%
S 4430
 
6.7%
m 4430
 
6.7%
s 4430
 
6.7%
u 4430
 
6.7%
_ 4430
 
6.7%
H 4430
 
6.7%
Other values (9) 11715
17.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 22150
33.3%
Decimal Number 17720
26.7%
Lowercase Letter 13290
20.0%
Other Punctuation 8860
 
13.3%
Connector Punctuation 4430
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6005
33.9%
8 1947
 
11.0%
6 1517
 
8.6%
7 1481
 
8.4%
4 1465
 
8.3%
0 1323
 
7.5%
1 1222
 
6.9%
2 1017
 
5.7%
3 962
 
5.4%
9 781
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
K 8860
40.0%
A 4430
20.0%
S 4430
20.0%
H 4430
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 4430
33.3%
s 4430
33.3%
u 4430
33.3%
Other Punctuation
ValueCountFrequency (%)
. 8860
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35440
53.3%
Common 31010
46.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 8860
28.6%
5 6005
19.4%
_ 4430
14.3%
8 1947
 
6.3%
6 1517
 
4.9%
7 1481
 
4.8%
4 1465
 
4.7%
0 1323
 
4.3%
1 1222
 
3.9%
2 1017
 
3.3%
Other values (2) 1743
 
5.6%
Latin
ValueCountFrequency (%)
K 8860
25.0%
A 4430
12.5%
S 4430
12.5%
m 4430
12.5%
s 4430
12.5%
u 4430
12.5%
H 4430
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 8860
13.3%
. 8860
13.3%
5 6005
9.0%
A 4430
 
6.7%
S 4430
 
6.7%
m 4430
 
6.7%
s 4430
 
6.7%
u 4430
 
6.7%
_ 4430
 
6.7%
H 4430
 
6.7%
Other values (9) 11715
17.6%

ISPARTOF
Text

MISSING 

Distinct240
Distinct (%)5.4%
Missing5570
Missing (%)55.7%
Memory size156.2 KiB
2023-12-12T20:45:34.794257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.715124
Min length3

Characters and Unicode

Total characters51898
Distinct characters168
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

Unique10 ?
Unique (%)0.2%

Sample

1st row전라남도 여수시 화정면
2nd row강원도 정선군 임계면
3rd row경상북도 문경시 가은읍
4th row경상남도 사천시 남양동
5th row대전광역시 대덕구 신탄진동
ValueCountFrequency (%)
전라남도 1553
 
11.8%
경상남도 843
 
6.4%
강원도 627
 
4.8%
경상북도 555
 
4.2%
사천시 546
 
4.2%
여수시 421
 
3.2%
남해군 280
 
2.1%
부산광역시 278
 
2.1%
진도군 238
 
1.8%
대구광역시 200
 
1.5%
Other values (307) 7594
57.8%
2023-12-12T20:45:35.455019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8705
16.8%
4455
 
8.6%
2984
 
5.7%
2961
 
5.7%
2647
 
5.1%
2104
 
4.1%
1760
 
3.4%
1722
 
3.3%
1720
 
3.3%
1549
 
3.0%
Other values (158) 21291
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43193
83.2%
Space Separator 8705
 
16.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4455
 
10.3%
2984
 
6.9%
2961
 
6.9%
2647
 
6.1%
2104
 
4.9%
1760
 
4.1%
1722
 
4.0%
1720
 
4.0%
1549
 
3.6%
1297
 
3.0%
Other values (157) 19994
46.3%
Space Separator
ValueCountFrequency (%)
8705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43193
83.2%
Common 8705
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4455
 
10.3%
2984
 
6.9%
2961
 
6.9%
2647
 
6.1%
2104
 
4.9%
1760
 
4.1%
1722
 
4.0%
1720
 
4.0%
1549
 
3.6%
1297
 
3.0%
Other values (157) 19994
46.3%
Common
ValueCountFrequency (%)
8705
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43193
83.2%
ASCII 8705
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8705
100.0%
Hangul
ValueCountFrequency (%)
4455
 
10.3%
2984
 
6.9%
2961
 
6.9%
2647
 
6.1%
2104
 
4.9%
1760
 
4.1%
1722
 
4.0%
1720
 
4.0%
1549
 
3.6%
1297
 
3.0%
Other values (157) 19994
46.3%

REQUIRES
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

DATEEVENT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

DOCCREATED
Text

MISSING 

Distinct273
Distinct (%)6.2%
Missing5570
Missing (%)55.7%
Memory size156.2 KiB
2023-12-12T20:45:35.884389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.3340858
Min length2

Characters and Unicode

Total characters36920
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.3%

Sample

1st row1992.7.17
2nd row1986.6.24
3rd row1985.8.6
4th row1998.11.13
5th row1980.8.4
ValueCountFrequency (%)
미상 481
 
10.9%
1998.11.13 263
 
5.9%
1998.11.14 152
 
3.4%
2002.11.8 72
 
1.6%
1996-99-99 70
 
1.6%
1997.10.4 66
 
1.5%
1996.7.19 55
 
1.2%
1993.11.13 52
 
1.2%
1993.7.9 51
 
1.2%
1997.10.5 49
 
1.1%
Other values (263) 3119
70.4%
2023-12-12T20:45:36.407266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8924
24.2%
9 7957
21.6%
. 7696
20.8%
2 2366
 
6.4%
0 1753
 
4.7%
7 1553
 
4.2%
8 1514
 
4.1%
3 1228
 
3.3%
5 1227
 
3.3%
6 909
 
2.5%
Other values (4) 1793
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28114
76.1%
Other Punctuation 7696
 
20.8%
Other Letter 962
 
2.6%
Dash Punctuation 148
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8924
31.7%
9 7957
28.3%
2 2366
 
8.4%
0 1753
 
6.2%
7 1553
 
5.5%
8 1514
 
5.4%
3 1228
 
4.4%
5 1227
 
4.4%
6 909
 
3.2%
4 683
 
2.4%
Other Letter
ValueCountFrequency (%)
481
50.0%
481
50.0%
Other Punctuation
ValueCountFrequency (%)
. 7696
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35958
97.4%
Hangul 962
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8924
24.8%
9 7957
22.1%
. 7696
21.4%
2 2366
 
6.6%
0 1753
 
4.9%
7 1553
 
4.3%
8 1514
 
4.2%
3 1228
 
3.4%
5 1227
 
3.4%
6 909
 
2.5%
Other values (2) 831
 
2.3%
Hangul
ValueCountFrequency (%)
481
50.0%
481
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35958
97.4%
Hangul 962
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8924
24.8%
9 7957
22.1%
. 7696
21.4%
2 2366
 
6.6%
0 1753
 
4.9%
7 1553
 
4.3%
8 1514
 
4.2%
3 1228
 
3.4%
5 1227
 
3.4%
6 909
 
2.5%
Other values (2) 831
 
2.3%
Hangul
ValueCountFrequency (%)
481
50.0%
481
50.0%

DOCISSUED
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

DATE_ISSUED
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1900-01-01 00:00:00
5570 
2007-11-29 00:00:00
4430 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2007-11-29 00:00:00
2nd row2007-11-29 00:00:00
3rd row2007-11-29 00:00:00
4th row2007-11-29 00:00:00
5th row1900-01-01 00:00:00

Common Values

ValueCountFrequency (%)
1900-01-01 00:00:00 5570
55.7%
2007-11-29 00:00:00 4430
44.3%

Length

2023-12-12T20:45:36.559009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:36.646341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 10000
50.0%
1900-01-01 5570
27.9%
2007-11-29 4430
22.1%

DATE_CREATED
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2006-12-20 00:00:00
5570 
2003-11-01 00:00:00
4418 
1900-01-01 00:00:00
 
12

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2003-11-01 00:00:00
2nd row2003-11-01 00:00:00
3rd row2003-11-01 00:00:00
4th row2003-11-01 00:00:00
5th row2006-12-20 00:00:00

Common Values

ValueCountFrequency (%)
2006-12-20 00:00:00 5570
55.7%
2003-11-01 00:00:00 4418
44.2%
1900-01-01 00:00:00 12
 
0.1%

Length

2023-12-12T20:45:36.751329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:36.842442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 10000
50.0%
2006-12-20 5570
27.9%
2003-11-01 4418
22.1%
1900-01-01 12
 
0.1%

DATE_MODIFIED
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2007-10-16 00:00:00
5570 
2008-04-21 00:00:00
4430 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2008-04-21 00:00:00
2nd row2008-04-21 00:00:00
3rd row2008-04-21 00:00:00
4th row2008-04-21 00:00:00
5th row2007-10-16 00:00:00

Common Values

ValueCountFrequency (%)
2007-10-16 00:00:00 5570
55.7%
2008-04-21 00:00:00 4430
44.3%

Length

2023-12-12T20:45:36.935357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:37.019989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 10000
50.0%
2007-10-16 5570
27.9%
2008-04-21 4430
22.1%

URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:45:37.209301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length182
Median length182
Mean length161.622
Min length136

Characters and Unicode

Total characters1616220
Distinct characters50
Distinct categories8 ?
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 row<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5579&amp;um20no=0539_23_5579</get> </url>
2nd row<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5121&amp;um20no=0059_08_5121</get> </url>
3rd row<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5705&amp;um20no=0278_03_5705</get> </url>
4th row<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5825&amp;um20no=0196_14_5825</get> </url>
5th row<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0369&amp;vol_id=01&amp;page_id=0204&amp;photo_id=02</get> </url>
ValueCountFrequency (%)
url 20000
66.7%
get>http://yoksa.aks.ac.kr/jsp/um/list.jsp?um10no=msu_5069&amp;um20no=0023_01_5069</get 1
 
< 0.1%
get>http://yoksa.aks.ac.kr/jsp/um/list.jsp?um10no=msu_5612&amp;um20no=0589_08_5612</get 1
 
< 0.1%
get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=ac_eng_0088&amp;vol_id=01&amp;page_id=0317&amp;photo_id=01</get 1
 
< 0.1%
get>http://yoksa.aks.ac.kr/jsp/um/list.jsp?um10no=msu_5145&amp;um20no=0078_20_5145</get 1
 
< 0.1%
get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=ac_eng_0268&amp;vol_id=01&amp;page_id=0339&amp;photo_id=02</get 1
 
< 0.1%
get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=ac_eng_0098&amp;vol_id=01&amp;page_id=0418&amp;photo_id=01</get 1
 
< 0.1%
get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=ac_eng_0366&amp;vol_id=01&amp;page_id=0278&amp;photo_id=01</get 1
 
< 0.1%
get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=ac_eng_0014&amp;vol_id=01&amp;page_id=0180&amp;photo_id=01</get 1
 
< 0.1%
get>http://yoksa.aks.ac.kr/jsp/um/list.jsp?um10no=msu_5561&amp;um20no=0522_01_5561</get 1
 
< 0.1%
Other values (9991) 9991
33.3%
2023-12-12T20:45:37.910593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
360000
22.3%
p 78990
 
4.9%
o 74560
 
4.6%
/ 64430
 
4.0%
_ 57850
 
3.6%
a 56710
 
3.5%
t 55570
 
3.4%
0 53068
 
3.3%
r 46710
 
2.9%
m 44430
 
2.7%
Other values (40) 723902
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 702670
43.5%
Space Separator 360000
22.3%
Other Punctuation 177850
 
11.0%
Decimal Number 163290
 
10.1%
Math Symbol 116710
 
7.2%
Connector Punctuation 57850
 
3.6%
Uppercase Letter 32280
 
2.0%
Dash Punctuation 5570
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 78990
11.2%
o 74560
 
10.6%
a 56710
 
8.1%
t 55570
 
7.9%
r 46710
 
6.6%
m 44430
 
6.3%
u 43290
 
6.2%
e 42280
 
6.0%
s 37720
 
5.4%
g 31140
 
4.4%
Other values (12) 191270
27.2%
Decimal Number
ValueCountFrequency (%)
0 53068
32.5%
2 25848
15.8%
1 24885
15.2%
5 16581
 
10.2%
3 9471
 
5.8%
4 7983
 
4.9%
8 7139
 
4.4%
6 7132
 
4.4%
7 6429
 
3.9%
9 4754
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 64430
36.2%
. 40000
22.5%
& 26710
15.0%
; 26710
15.0%
: 10000
 
5.6%
? 10000
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
E 5570
17.3%
G 5570
17.3%
N 5570
17.3%
A 5570
17.3%
C 5570
17.3%
L 4430
13.7%
Math Symbol
ValueCountFrequency (%)
< 40000
34.3%
> 40000
34.3%
= 36710
31.5%
Space Separator
ValueCountFrequency (%)
360000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 57850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5570
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 881270
54.5%
Latin 734950
45.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 78990
 
10.7%
o 74560
 
10.1%
a 56710
 
7.7%
t 55570
 
7.6%
r 46710
 
6.4%
m 44430
 
6.0%
u 43290
 
5.9%
e 42280
 
5.8%
s 37720
 
5.1%
g 31140
 
4.2%
Other values (18) 223550
30.4%
Common
ValueCountFrequency (%)
360000
40.9%
/ 64430
 
7.3%
_ 57850
 
6.6%
0 53068
 
6.0%
. 40000
 
4.5%
< 40000
 
4.5%
> 40000
 
4.5%
= 36710
 
4.2%
& 26710
 
3.0%
; 26710
 
3.0%
Other values (12) 135792
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1616220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
360000
22.3%
p 78990
 
4.9%
o 74560
 
4.6%
/ 64430
 
4.0%
_ 57850
 
3.6%
a 56710
 
3.5%
t 55570
 
3.4%
0 53068
 
3.3%
r 46710
 
2.9%
m 44430
 
2.7%
Other values (40) 723902
44.8%

CREATORSORT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

DATESORT
Text

MISSING 

Distinct274
Distinct (%)6.2%
Missing5570
Missing (%)55.7%
Memory size156.2 KiB
2023-12-12T20:45:38.299531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.3706546
Min length2

Characters and Unicode

Total characters37082
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.3%

Sample

1st row1992.7.17
2nd row1986.6.24
3rd row1985.8.6
4th row1998.11.13
5th row1980.8.4
ValueCountFrequency (%)
미상 481
 
10.9%
1998.11.13 263
 
5.9%
1998.11.14 152
 
3.4%
2002.11.8 72
 
1.6%
1996-99-99 70
 
1.6%
1997.10.4 66
 
1.5%
1996.7.19 55
 
1.2%
1993.11.13 52
 
1.2%
1993.7.9 51
 
1.2%
1997.10.5 49
 
1.1%
Other values (264) 3119
70.4%
2023-12-12T20:45:38.865515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8924
24.1%
9 8011
21.6%
. 7723
20.8%
2 2366
 
6.4%
0 1753
 
4.7%
7 1553
 
4.2%
8 1518
 
4.1%
3 1228
 
3.3%
5 1227
 
3.3%
6 932
 
2.5%
Other values (4) 1847
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28195
76.0%
Other Punctuation 7723
 
20.8%
Other Letter 962
 
2.6%
Dash Punctuation 202
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8924
31.7%
9 8011
28.4%
2 2366
 
8.4%
0 1753
 
6.2%
7 1553
 
5.5%
8 1518
 
5.4%
3 1228
 
4.4%
5 1227
 
4.4%
6 932
 
3.3%
4 683
 
2.4%
Other Letter
ValueCountFrequency (%)
481
50.0%
481
50.0%
Other Punctuation
ValueCountFrequency (%)
. 7723
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36120
97.4%
Hangul 962
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8924
24.7%
9 8011
22.2%
. 7723
21.4%
2 2366
 
6.6%
0 1753
 
4.9%
7 1553
 
4.3%
8 1518
 
4.2%
3 1228
 
3.4%
5 1227
 
3.4%
6 932
 
2.6%
Other values (2) 885
 
2.5%
Hangul
ValueCountFrequency (%)
481
50.0%
481
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36120
97.4%
Hangul 962
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8924
24.7%
9 8011
22.2%
. 7723
21.4%
2 2366
 
6.6%
0 1753
 
4.9%
7 1553
 
4.3%
8 1518
 
4.2%
3 1228
 
3.4%
5 1227
 
3.4%
6 932
 
2.6%
Other values (2) 885
 
2.5%
Hangul
ValueCountFrequency (%)
481
50.0%
481
50.0%

Sample

URI_KHONMDCENTERSUBJECT_KHONDBINFOURI_KHDPMAINTITLEALTERNATIVEDOCSENDEREDITORAUTHORSUBJECT_KHON1SUBJECT_KHON2SUBJECT_KHDPTYPEUNITPUBLISHERFORMAT_MEDIUMTABLEOFCONTENTSABSTRACTISPARTOF_IDISPARTOFREQUIRESDATEEVENTDOCCREATEDDOCISSUEDDATE_ISSUEDDATE_CREATEDDATE_MODIFIEDURLCREATORSORTDATESORT
17649KH.AKS.0539_23_5579AKSKH.13.02.001한국민요대관0539_23_5579토끼타령<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5579전라남도 여수시 화정면<NA><NA>1992.7.17<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5579&amp;um20no=0539_23_5579</get> </url><NA>1992.7.17
11082KH.AKS.0059_08_5121AKSKH.13.02.001한국민요대관0059_08_5121곱새치기소리<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5121강원도 정선군 임계면<NA><NA>1986.6.24<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5121&amp;um20no=0059_08_5121</get> </url><NA>1986.6.24
13855KH.AKS.0278_03_5705AKSKH.13.02.001한국민요대관0278_03_5705창부타령<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5705경상북도 문경시 가은읍<NA><NA>1985.8.6<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5705&amp;um20no=0278_03_5705</get> </url><NA>1985.8.6
12648KH.AKS.0196_14_5825AKSKH.13.02.001한국민요대관0196_14_5825창부타령<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5825경상남도 사천시 남양동<NA><NA>1998.11.13<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5825&amp;um20no=0196_14_5825</get> </url><NA>1998.11.13
9711KH.AC.AC_ENG_0369_01_0204_02ACKH.13.01.011서양고서AC_ENG_0369_01_0204_02THERESA MULLIN, Bootle, Liverpool.테레사 뮬린, 부틀, 리버풀<NA><NA><NA>KH.13KH.13.01d<NA>2<NA>image/jpeg<NA>출전 : The Far East ( )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0369&amp;vol_id=01&amp;page_id=0204&amp;photo_id=02</get> </url><NA><NA>
8957KH.AC.AC_ENG_0365_01_0313_01ACKH.13.01.011서양고서AC_ENG_0365_01_0313_01AMERICAN STUDENTS AT DALGAN.달간의 미국인 학생들<NA><NA><NA>KH.13KH.13.01c<NA>2<NA>image/jpeg<NA>출전 : The Far East ( )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0365&amp;vol_id=01&amp;page_id=0313&amp;photo_id=01</get> </url><NA><NA>
15008KH.AKS.0364_08_5288AKSKH.13.02.001한국민요대관0364_08_5288까마귀노래<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5288대전광역시 대덕구 신탄진동<NA><NA>1980.8.4<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5288&amp;um20no=0364_08_5288</get> </url><NA>1980.8.4
5194KH.AC.AC_ENG_0234_01_0053_01ACKH.13.01.011서양고서AC_ENG_0234_01_0053_01Old Provincial Government Offices옛 지방 관청<NA><NA><NA>KH.13KH.13.01e<NA>2<NA>image/jpeg<NA>출전 : Economic history of Chosen ( comp. in commemoration of the decennial of the Bank of Chosen )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0234&amp;vol_id=01&amp;page_id=0053&amp;photo_id=01</get> </url><NA><NA>
9267KH.AC.AC_ENG_0367_01_0164_06ACKH.13.01.011서양고서AC_ENG_0367_01_0164_06GEORGIE KENNEDY, CARTOWN HOUSE, KILDIMO.조지 케네디, 카타운 하우스, 킬디모<NA><NA><NA>KH.13KH.13.01d<NA>2<NA>image/jpeg<NA>출전 : The Far East ( )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0367&amp;vol_id=01&amp;page_id=0164&amp;photo_id=06</get> </url><NA><NA>
10579KH.AKS.0011_03_5057AKSKH.13.02.001한국민요대관0011_03_5057모심는소리<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5057강원도 강릉시 성산면<NA><NA>2001.11.9<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5057&amp;um20no=0011_03_5057</get> </url><NA>2001.11.9
URI_KHONMDCENTERSUBJECT_KHONDBINFOURI_KHDPMAINTITLEALTERNATIVEDOCSENDEREDITORAUTHORSUBJECT_KHON1SUBJECT_KHON2SUBJECT_KHDPTYPEUNITPUBLISHERFORMAT_MEDIUMTABLEOFCONTENTSABSTRACTISPARTOF_IDISPARTOFREQUIRESDATEEVENTDOCCREATEDDOCISSUEDDATE_ISSUEDDATE_CREATEDDATE_MODIFIEDURLCREATORSORTDATESORT
7701KH.AC.AC_ENG_0339_01_0125_01ACKH.13.01.011서양고서AC_ENG_0339_01_0125_01ICHANG GORGE, RED-BOAT AND JUNK PASSING.이창 협곡, 빨간 배와 정크가 지나가고 있다<NA><NA><NA>KH.13KH.13.01e<NA>2<NA>image/jpeg<NA>출전 : Missionary joys in Japan ( ;or, Leaves from my journal. With an introd. by Barclay F. Buxton. )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0339&amp;vol_id=01&amp;page_id=0125&amp;photo_id=01</get> </url><NA><NA>
16933KH.AKS.0494_26_5523AKSKH.13.02.001한국민요대관0494_26_5523산아지타령<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5523전라남도 여수시 남면<NA><NA>1993.7.7<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5523&amp;um20no=0494_26_5523</get> </url><NA>1993.7.7
5088KH.AC.AC_ENG_0233_01_0203_01ACKH.13.01.011서양고서AC_ENG_0233_01_0203_01Fig. 108. -Strong erosion in Shantung, with wheat on remnants of tables.고지 아래의 밀밭과 산동 지방의 강한 부식<NA><NA><NA>KH.13KH.13.01e<NA>2<NA>image/jpeg<NA>출전 : Farmers of forty centuries ( or Permanent agriculture in China, Korea and Japan )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0233&amp;vol_id=01&amp;page_id=0203&amp;photo_id=01</get> </url><NA><NA>
1288KH.AC.AC_ENG_0047_01_0253_01ACKH.13.01.011서양고서AC_ENG_0047_01_0253_01TOMB NEAR SEOUL.서울 근교의 무덤<NA><NA><NA>KH.13KH.13.01c<NA>2<NA>image/jpeg<NA>출전 : The story of Korea ( by Joseph H. Longford. With 33 illustrations and three maps )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0047&amp;vol_id=01&amp;page_id=0253&amp;photo_id=01</get> </url><NA><NA>
1827KH.AC.AC_ENG_0082_01_0094_01ACKH.13.01.011서양고서AC_ENG_0082_01_0094_01154. Model Farm at Suwon(水原), Kyungki Province(京畿道).155. Tuksum(纛島) Branch Farm near Seoul(京城).154. 수원의 시범 농장, 경기도155. 서울 근교 뚝섬 농장<NA><NA><NA>KH.13KH.13.01e<NA>2<NA>image/jpeg<NA>출전 : Pictorial Chosen and Manchuria ( compiled in commemoration of the decennial of the Bank of Chosen )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0082&amp;vol_id=01&amp;page_id=0094&amp;photo_id=01</get> </url><NA><NA>
18508KH.AKS.0593_11_5645AKSKH.13.02.001한국민요대관0593_11_5645북충(사물가락)<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5645전라남도 진도군 지산면<NA><NA>1997.10.13<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5645&amp;um20no=0593_11_5645</get> </url><NA>1997.10.13
16257KH.AKS.0450_38_5470AKSKH.13.02.001한국민요대관0450_38_5470시집살이노래<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5470전라남도 담양군 수북면<NA><NA>1980.8.10<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5470&amp;um20no=0450_38_5470</get> </url><NA>1980.8.10
1748KH.AC.AC_ENG_0082_01_0039_02ACKH.13.01.011서양고서AC_ENG_0082_01_0039_0253. Washing clothes.54. Making sticks for smoothing cloth after washing and drying.53. 빨래터54. 다듬이 만드는 모습<NA><NA><NA>KH.13KH.13.01e<NA>2<NA>image/jpeg<NA>출전 : Pictorial Chosen and Manchuria ( compiled in commemoration of the decennial of the Bank of Chosen )<NA><NA><NA><NA><NA><NA>1900-01-01 00:00:002006-12-20 00:00:002007-10-16 00:00:00<url> <get>http://www.e-coreana.or.kr/photo/group_se_02.jsp?op=2&amp;book_id=AC_ENG_0082&amp;vol_id=01&amp;page_id=0039&amp;photo_id=02</get> </url><NA><NA>
17180KH.AKS.0505_02_5537AKSKH.13.02.001한국민요대관0505_02_5537산아지타령<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5537전라남도 여수시 소라면<NA><NA>1993.11.12<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5537&amp;um20no=0505_02_5537</get> </url><NA>1993.11.12
14218KH.AKS.0308_07_5731AKSKH.13.02.001한국민요대관0308_07_5731쌍가락지노래<NA><NA><NA><NA>KH.13KH.13.02um<NA>2<NA>text/xml|audio/asf<NA><NA>KH.AKS.msu_5731경상북도 영천시 화북면<NA><NA>1995.5.20<NA>2007-11-29 00:00:002003-11-01 00:00:002008-04-21 00:00:00<url> <get>http://yoksa.aks.ac.kr/jsp/um/List.jsp?um10no=msu_5731&amp;um20no=0308_07_5731</get> </url><NA>1995.5.20