Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells45983
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory145.0 B

Variable types

Text10
Categorical2
DateTime3
Boolean2

Dataset

Description한국저작권위원회 저작권등록관리시스템 내 등록되어 있는 저작 인접권자와 관련된 정보에 대한 내역으로 개인정보 및 민감정보를 제외한 내역을 파일데이터 형태로 제공하므로 참고해주시기 바랍니다.(파일데이터 개방 등록형식 특성상 하위 데이터값이 없는 경우, 구분 값에서 삭제함)
Author한국저작권위원회
URLhttps://www.data.go.kr/data/15089981/fileData.do

Alerts

유통여부 is highly overall correlated with 저작자고객관리번호 and 2 other fieldsHigh correlation
저작자고객관리번호 is highly overall correlated with 유통여부High correlation
등록일시 is highly overall correlated with 유통여부 and 1 other fieldsHigh correlation
수정여부 is highly overall correlated with 등록일시 and 1 other fieldsHigh correlation
등록일시 is highly imbalanced (94.4%)Imbalance
유통여부 is highly imbalanced (72.3%)Imbalance
수정여부 is highly imbalanced (99.7%)Imbalance
등록계정 has 471 (4.7%) missing valuesMissing
저작물고정내용 has 170 (1.7%) missing valuesMissing
저작물내용 has 1145 (11.5%) missing valuesMissing
저작인접권발생일자 has 3748 (37.5%) missing valuesMissing
저작인접권발생장소내용 has 9570 (95.7%) missing valuesMissing
실연사용명 has 9645 (96.5%) missing valuesMissing
부가설명 has 2337 (23.4%) missing valuesMissing
전산화일자 has 5874 (58.7%) missing valuesMissing
유통여부 has 5067 (50.7%) missing valuesMissing
저작인접권발행일자 has 5371 (53.7%) missing valuesMissing
수정일시 has 2584 (25.8%) missing valuesMissing
등록시스템계정 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:44:19.199921
Analysis finished2023-12-12 18:44:26.727485
Duration7.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T03:44:27.139451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters11
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 rowG000059173
2nd rowG000242479
3rd rowG000581516
4th rowG000259605
5th rowG000580880
ValueCountFrequency (%)
g000059173 1
 
< 0.1%
g000242623 1
 
< 0.1%
g000702853 1
 
< 0.1%
g000234419 1
 
< 0.1%
g000059201 1
 
< 0.1%
g000868613 1
 
< 0.1%
g000900766 1
 
< 0.1%
g000264123 1
 
< 0.1%
g000657793 1
 
< 0.1%
g000218521 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T03:44:27.858762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36132
36.1%
G 10000
 
10.0%
9 8284
 
8.3%
2 7029
 
7.0%
8 6367
 
6.4%
7 5895
 
5.9%
5 5791
 
5.8%
6 5263
 
5.3%
3 5205
 
5.2%
4 5091
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Uppercase Letter 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36132
40.1%
9 8284
 
9.2%
2 7029
 
7.8%
8 6367
 
7.1%
7 5895
 
6.6%
5 5791
 
6.4%
6 5263
 
5.8%
3 5205
 
5.8%
4 5091
 
5.7%
1 4943
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
G 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
90.0%
Latin 10000
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36132
40.1%
9 8284
 
9.2%
2 7029
 
7.8%
8 6367
 
7.1%
7 5895
 
6.6%
5 5791
 
6.4%
6 5263
 
5.8%
3 5205
 
5.8%
4 5091
 
5.7%
1 4943
 
5.5%
Latin
ValueCountFrequency (%)
G 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36132
36.1%
G 10000
 
10.0%
9 8284
 
8.3%
2 7029
 
7.0%
8 6367
 
6.4%
7 5895
 
5.9%
5 5791
 
5.8%
6 5263
 
5.3%
3 5205
 
5.2%
4 5091
 
5.1%

등록계정
Text

MISSING 

Distinct9529
Distinct (%)100.0%
Missing471
Missing (%)4.7%
Memory size156.2 KiB
2023-12-13T03:44:28.209841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.014902
Min length13

Characters and Unicode

Total characters124019
Distinct characters13
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

Unique9529 ?
Unique (%)100.0%

Sample

1st rowBN-1995-002109
2nd rowN-2014-000518
3rd rowN-2010-000097
4th rowN-2014-000044
5th rowN-2020-000423
ValueCountFrequency (%)
n-2020-002632 1
 
< 0.1%
n-2019-000090 1
 
< 0.1%
n-2015-000417 1
 
< 0.1%
n-2005-000174 1
 
< 0.1%
n-2014-000140 1
 
< 0.1%
n-2008-000060 1
 
< 0.1%
n-2015-000477 1
 
< 0.1%
n-2010-000042 1
 
< 0.1%
n-2005-000157 1
 
< 0.1%
n-2010-000668 1
 
< 0.1%
Other values (9519) 9519
99.9%
2023-12-13T03:44:28.780332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44533
35.9%
- 19058
15.4%
2 16396
 
13.2%
1 10452
 
8.4%
N 9529
 
7.7%
9 3980
 
3.2%
4 3785
 
3.1%
6 3408
 
2.7%
5 3354
 
2.7%
8 3326
 
2.7%
Other values (3) 6198
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95290
76.8%
Dash Punctuation 19058
 
15.4%
Uppercase Letter 9671
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44533
46.7%
2 16396
 
17.2%
1 10452
 
11.0%
9 3980
 
4.2%
4 3785
 
4.0%
6 3408
 
3.6%
5 3354
 
3.5%
8 3326
 
3.5%
3 3204
 
3.4%
7 2852
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 9529
98.5%
B 142
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 19058
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114348
92.2%
Latin 9671
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44533
38.9%
- 19058
16.7%
2 16396
 
14.3%
1 10452
 
9.1%
9 3980
 
3.5%
4 3785
 
3.3%
6 3408
 
3.0%
5 3354
 
2.9%
8 3326
 
2.9%
3 3204
 
2.8%
Latin
ValueCountFrequency (%)
N 9529
98.5%
B 142
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44533
35.9%
- 19058
15.4%
2 16396
 
13.2%
1 10452
 
8.4%
N 9529
 
7.7%
9 3980
 
3.2%
4 3785
 
3.1%
6 3408
 
2.7%
5 3354
 
2.7%
8 3326
 
2.7%
Other values (3) 6198
 
5.0%
Distinct9191
Distinct (%)91.9%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T03:44:29.443140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length128
Mean length19.008401
Min length1

Characters and Unicode

Total characters190065
Distinct characters1383
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8634 ?
Unique (%)86.3%

Sample

1st row강인원 BEST 노래 모음집
2nd row단가 (어화세상)
3rd rowCandy Man (Inst.) / 캔디 맨 (Inst.)
4th row그 날 이후부터
5th rowBoy / 보이
ValueCountFrequency (%)
1799
 
4.3%
inst 341
 
0.8%
in 222
 
0.5%
the 207
 
0.5%
191
 
0.5%
i 187
 
0.4%
ver 173
 
0.4%
love 169
 
0.4%
op 166
 
0.4%
g 164
 
0.4%
Other values (14380) 37996
91.3%
2023-12-13T03:44:30.382417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32440
 
17.1%
e 5963
 
3.1%
( 4873
 
2.6%
) 4861
 
2.6%
o 4012
 
2.1%
n 3872
 
2.0%
a 3606
 
1.9%
i 3421
 
1.8%
t 3066
 
1.6%
. 3032
 
1.6%
Other values (1373) 120919
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72633
38.2%
Lowercase Letter 43461
22.9%
Space Separator 32440
17.1%
Uppercase Letter 18634
 
9.8%
Other Punctuation 6447
 
3.4%
Decimal Number 5007
 
2.6%
Open Punctuation 4930
 
2.6%
Close Punctuation 4917
 
2.6%
Dash Punctuation 1143
 
0.6%
Math Symbol 276
 
0.1%
Other values (6) 177
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2556
 
3.5%
1536
 
2.1%
1313
 
1.8%
1178
 
1.6%
1155
 
1.6%
1147
 
1.6%
1020
 
1.4%
995
 
1.4%
933
 
1.3%
929
 
1.3%
Other values (1257) 59871
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 5963
13.7%
o 4012
 
9.2%
n 3872
 
8.9%
a 3606
 
8.3%
i 3421
 
7.9%
t 3066
 
7.1%
r 2908
 
6.7%
s 2467
 
5.7%
l 2206
 
5.1%
u 1501
 
3.5%
Other values (27) 10439
24.0%
Uppercase Letter
ValueCountFrequency (%)
I 1723
 
9.2%
S 1504
 
8.1%
T 1342
 
7.2%
A 1198
 
6.4%
O 1165
 
6.3%
E 1079
 
5.8%
M 1078
 
5.8%
L 979
 
5.3%
N 913
 
4.9%
F 876
 
4.7%
Other values (18) 6777
36.4%
Other Punctuation
ValueCountFrequency (%)
. 3032
47.0%
, 1707
26.5%
/ 1002
 
15.5%
' 193
 
3.0%
! 140
 
2.2%
& 119
 
1.8%
: 83
 
1.3%
? 60
 
0.9%
" 46
 
0.7%
32
 
0.5%
Other values (6) 33
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 990
19.8%
2 803
16.0%
0 598
11.9%
3 540
10.8%
5 460
9.2%
4 437
8.7%
6 338
 
6.8%
9 313
 
6.3%
7 289
 
5.8%
8 239
 
4.8%
Math Symbol
ValueCountFrequency (%)
> 102
37.0%
< 101
36.6%
~ 52
18.8%
+ 19
 
6.9%
= 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 4873
98.8%
[ 56
 
1.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4861
98.9%
] 55
 
1.1%
1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
14
70.0%
4
 
20.0%
2
 
10.0%
Letter Number
ValueCountFrequency (%)
10
52.6%
6
31.6%
3
 
15.8%
Final Punctuation
ValueCountFrequency (%)
31
86.1%
5
 
13.9%
Initial Punctuation
ValueCountFrequency (%)
8
80.0%
2
 
20.0%
Space Separator
ValueCountFrequency (%)
32440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1143
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 73
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72443
38.1%
Latin 62088
32.7%
Common 55318
29.1%
Han 162
 
0.1%
Cyrillic 26
 
< 0.1%
Hiragana 20
 
< 0.1%
Katakana 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2556
 
3.5%
1536
 
2.1%
1313
 
1.8%
1178
 
1.6%
1155
 
1.6%
1147
 
1.6%
1020
 
1.4%
995
 
1.4%
933
 
1.3%
929
 
1.3%
Other values (1125) 59681
82.4%
Han
ValueCountFrequency (%)
9
 
5.6%
8
 
4.9%
7
 
4.3%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.2%
Other values (101) 116
71.6%
Latin
ValueCountFrequency (%)
e 5963
 
9.6%
o 4012
 
6.5%
n 3872
 
6.2%
a 3606
 
5.8%
i 3421
 
5.5%
t 3066
 
4.9%
r 2908
 
4.7%
s 2467
 
4.0%
l 2206
 
3.6%
I 1723
 
2.8%
Other values (47) 28844
46.5%
Common
ValueCountFrequency (%)
32440
58.6%
( 4873
 
8.8%
) 4861
 
8.8%
. 3032
 
5.5%
, 1707
 
3.1%
- 1143
 
2.1%
/ 1002
 
1.8%
1 990
 
1.8%
2 803
 
1.5%
0 598
 
1.1%
Other values (38) 3869
 
7.0%
Hiragana
ValueCountFrequency (%)
5
25.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (5) 5
25.0%
Cyrillic
ValueCountFrequency (%)
а 6
23.1%
е 2
 
7.7%
А 2
 
7.7%
о 2
 
7.7%
л 2
 
7.7%
н 2
 
7.7%
к 2
 
7.7%
и 2
 
7.7%
т 2
 
7.7%
в 2
 
7.7%
Katakana
ValueCountFrequency (%)
2
25.0%
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117278
61.7%
Hangul 72438
38.1%
CJK 155
 
0.1%
Punctuation 78
 
< 0.1%
Cyrillic 26
 
< 0.1%
Misc Symbols 20
 
< 0.1%
Hiragana 20
 
< 0.1%
Number Forms 19
 
< 0.1%
None 11
 
< 0.1%
Katakana 8
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32440
27.7%
e 5963
 
5.1%
( 4873
 
4.2%
) 4861
 
4.1%
o 4012
 
3.4%
n 3872
 
3.3%
a 3606
 
3.1%
i 3421
 
2.9%
t 3066
 
2.6%
. 3032
 
2.6%
Other values (78) 48132
41.0%
Hangul
ValueCountFrequency (%)
2556
 
3.5%
1536
 
2.1%
1313
 
1.8%
1178
 
1.6%
1155
 
1.6%
1147
 
1.6%
1020
 
1.4%
995
 
1.4%
933
 
1.3%
929
 
1.3%
Other values (1123) 59676
82.4%
Punctuation
ValueCountFrequency (%)
32
41.0%
31
39.7%
8
 
10.3%
5
 
6.4%
2
 
2.6%
Misc Symbols
ValueCountFrequency (%)
14
70.0%
4
 
20.0%
2
 
10.0%
Number Forms
ValueCountFrequency (%)
10
52.6%
6
31.6%
3
 
15.8%
CJK
ValueCountFrequency (%)
9
 
5.8%
8
 
5.2%
7
 
4.5%
4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.3%
Other values (94) 109
70.3%
Cyrillic
ValueCountFrequency (%)
а 6
23.1%
е 2
 
7.7%
А 2
 
7.7%
о 2
 
7.7%
л 2
 
7.7%
н 2
 
7.7%
к 2
 
7.7%
и 2
 
7.7%
т 2
 
7.7%
в 2
 
7.7%
Hiragana
ValueCountFrequency (%)
5
25.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (5) 5
25.0%
None
ValueCountFrequency (%)
· 4
36.4%
œ 2
18.2%
ß 2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Katakana
ValueCountFrequency (%)
2
25.0%
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

저작물고정내용
Text

MISSING 

Distinct62
Distinct (%)0.6%
Missing170
Missing (%)1.7%
Memory size156.2 KiB
2023-12-13T03:44:30.651123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.0014242
Min length1

Characters and Unicode

Total characters49164
Distinct characters63
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)0.3%

Sample

1st row카셋트테잎 및 CD 각 1개
2nd rowCD
3rd rowCD-1
4th rowCD, 1
5th rowCD-1
ValueCountFrequency (%)
1 6492
38.2%
cd 3396
20.0%
디지털파일 3174
18.7%
usb 1449
 
8.5%
cd-1 1229
 
7.2%
dvd 503
 
3.0%
1개 139
 
0.8%
카셋트테잎 134
 
0.8%
134
 
0.8%
134
 
0.8%
Other values (45) 210
 
1.2%
2023-12-13T03:44:31.169271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7980
16.2%
7190
14.6%
D 5658
11.5%
C 4651
9.5%
3188
 
6.5%
3183
 
6.5%
3183
 
6.5%
3183
 
6.5%
3182
 
6.5%
B 1449
 
2.9%
Other values (53) 6317
12.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17296
35.2%
Uppercase Letter 15164
30.8%
Decimal Number 8038
16.3%
Space Separator 7190
14.6%
Dash Punctuation 1229
 
2.5%
Other Punctuation 181
 
0.4%
Open Punctuation 24
 
< 0.1%
Close Punctuation 24
 
< 0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3188
18.4%
3183
18.4%
3183
18.4%
3183
18.4%
3182
18.4%
180
 
1.0%
152
 
0.9%
146
 
0.8%
142
 
0.8%
141
 
0.8%
Other values (23) 616
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 7980
99.3%
2 23
 
0.3%
4 13
 
0.2%
5 5
 
0.1%
7 4
 
< 0.1%
0 4
 
< 0.1%
8 4
 
< 0.1%
3 4
 
< 0.1%
9 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
D 5658
37.3%
C 4651
30.7%
B 1449
 
9.6%
U 1449
 
9.6%
S 1449
 
9.6%
V 503
 
3.3%
T 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 150
82.9%
10
 
5.5%
10
 
5.5%
: 10
 
5.5%
. 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
p 5
27.8%
a 5
27.8%
d 2
 
11.1%
c 1
 
5.6%
Space Separator
ValueCountFrequency (%)
7190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17296
35.2%
Common 16686
33.9%
Latin 15182
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3188
18.4%
3183
18.4%
3183
18.4%
3183
18.4%
3182
18.4%
180
 
1.0%
152
 
0.9%
146
 
0.8%
142
 
0.8%
141
 
0.8%
Other values (23) 616
 
3.6%
Common
ValueCountFrequency (%)
1 7980
47.8%
7190
43.1%
- 1229
 
7.4%
, 150
 
0.9%
( 24
 
0.1%
) 24
 
0.1%
2 23
 
0.1%
4 13
 
0.1%
10
 
0.1%
10
 
0.1%
Other values (8) 33
 
0.2%
Latin
ValueCountFrequency (%)
D 5658
37.3%
C 4651
30.6%
B 1449
 
9.5%
U 1449
 
9.5%
S 1449
 
9.5%
V 503
 
3.3%
e 5
 
< 0.1%
p 5
 
< 0.1%
a 5
 
< 0.1%
T 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31848
64.8%
Hangul 17296
35.2%
Punctuation 20
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7980
25.1%
7190
22.6%
D 5658
17.8%
C 4651
14.6%
B 1449
 
4.5%
U 1449
 
4.5%
S 1449
 
4.5%
- 1229
 
3.9%
V 503
 
1.6%
, 150
 
0.5%
Other values (18) 140
 
0.4%
Hangul
ValueCountFrequency (%)
3188
18.4%
3183
18.4%
3183
18.4%
3183
18.4%
3182
18.4%
180
 
1.0%
152
 
0.9%
146
 
0.8%
142
 
0.8%
141
 
0.8%
Other values (23) 616
 
3.6%
Punctuation
ValueCountFrequency (%)
10
50.0%
10
50.0%

저작물내용
Text

MISSING 

Distinct7625
Distinct (%)86.1%
Missing1145
Missing (%)11.5%
Memory size156.2 KiB
2023-12-13T03:44:32.128726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length509
Mean length84.691925
Min length4

Characters and Unicode

Total characters749947
Distinct characters1485
Distinct categories18 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7438 ?
Unique (%)84.0%

Sample

1st row이 음원은 브라운아이드걸스가(이) 발표한 3집 Sound G. / 3집 사운드 지에 수록되어 있는 Candy Man (Inst.) / 캔디 맨 (Inst.)이란 곡이다.
2nd row주식회사 로엔엔터테인먼트Atelier / 아틀리에그 날 이후부터
3rd row이 음원은 브라운아이드걸스가(이) 발표한 Black Box / 블랙 박스에 수록되어 있는 Boy / 보이이란 곡이다.
4th row국내 힙합 그룹들의 랩세션으로 활약하던 신인 아닌 신인이다. 11곡의 팝적이면서 감미로운 R&B와 HIP-HOP곡들로 구성되어 있는 앨범이다. 열번째 트랙 'I'm Your Man'은 최희진이 작사했고 심상원이 작곡했다.<수록곡>1.Shoutouts To My Homiez! (Intro)2.Only Love3.영원한 너4.사계5.I Know6.On Air7.In Love8.My Life9.귀로 (歸路)10.I'm Your Man11.The End12.영원한 너 (Remix)
5th row기독교 종교 음악으로 트리니티블루에 수록된 찬송가입니다.
ValueCountFrequency (%)
3826
 
2.3%
있는 3576
 
2.2%
곡이다 3189
 
2.0%
수록되어 2980
 
1.8%
음원은 2715
 
1.7%
2431
 
1.5%
발표한 1385
 
0.8%
수록된 1128
 
0.7%
833
 
0.5%
775
 
0.5%
Other values (31875) 140125
86.0%
2023-12-13T03:44:32.913085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155600
 
20.7%
24285
 
3.2%
. 14142
 
1.9%
13326
 
1.8%
10441
 
1.4%
10315
 
1.4%
9826
 
1.3%
9244
 
1.2%
8212
 
1.1%
7899
 
1.1%
Other values (1475) 486657
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454498
60.6%
Space Separator 155600
 
20.7%
Lowercase Letter 50021
 
6.7%
Uppercase Letter 30404
 
4.1%
Other Punctuation 24961
 
3.3%
Decimal Number 18401
 
2.5%
Open Punctuation 6491
 
0.9%
Close Punctuation 6490
 
0.9%
Math Symbol 1084
 
0.1%
Dash Punctuation 797
 
0.1%
Other values (8) 1200
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24285
 
5.3%
13326
 
2.9%
10441
 
2.3%
10315
 
2.3%
9826
 
2.2%
9244
 
2.0%
8212
 
1.8%
7899
 
1.7%
7764
 
1.7%
7238
 
1.6%
Other values (1349) 345948
76.1%
Uppercase Letter
ValueCountFrequency (%)
S 3120
 
10.3%
T 2956
 
9.7%
O 2474
 
8.1%
I 2001
 
6.6%
E 1968
 
6.5%
A 1897
 
6.2%
M 1595
 
5.2%
L 1508
 
5.0%
N 1452
 
4.8%
R 1326
 
4.4%
Other values (18) 10107
33.2%
Lowercase Letter
ValueCountFrequency (%)
e 6505
13.0%
o 4602
 
9.2%
i 3759
 
7.5%
n 3693
 
7.4%
a 3654
 
7.3%
r 3634
 
7.3%
t 3448
 
6.9%
s 2733
 
5.5%
l 2123
 
4.2%
m 2042
 
4.1%
Other values (16) 13828
27.6%
Other Punctuation
ValueCountFrequency (%)
. 14142
56.7%
, 3391
 
13.6%
' 2890
 
11.6%
/ 2007
 
8.0%
" 1130
 
4.5%
: 439
 
1.8%
& 379
 
1.5%
! 124
 
0.5%
? 112
 
0.4%
; 92
 
0.4%
Other values (12) 255
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 4010
21.8%
2 3000
16.3%
3 2405
13.1%
0 2357
12.8%
9 1624
8.8%
4 1257
 
6.8%
5 1242
 
6.7%
6 886
 
4.8%
8 842
 
4.6%
7 777
 
4.2%
Math Symbol
ValueCountFrequency (%)
~ 576
53.1%
> 216
 
19.9%
< 210
 
19.4%
+ 46
 
4.2%
= 28
 
2.6%
8
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 5022
77.4%
[ 1397
 
21.5%
46
 
0.7%
21
 
0.3%
5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 5020
77.3%
] 1398
 
21.5%
46
 
0.7%
21
 
0.3%
5
 
0.1%
Letter Number
ValueCountFrequency (%)
24
38.1%
11
17.5%
10
15.9%
10
15.9%
8
 
12.7%
Other Symbol
ValueCountFrequency (%)
14
38.9%
9
25.0%
8
22.2%
3
 
8.3%
2
 
5.6%
Other Number
ValueCountFrequency (%)
7
36.8%
7
36.8%
5
26.3%
Final Punctuation
ValueCountFrequency (%)
389
81.6%
88
 
18.4%
Initial Punctuation
ValueCountFrequency (%)
341
82.8%
71
 
17.2%
Modifier Symbol
ValueCountFrequency (%)
` 92
82.1%
^ 20
 
17.9%
Space Separator
ValueCountFrequency (%)
155600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 797
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454192
60.6%
Common 214961
28.7%
Latin 80474
 
10.7%
Han 306
 
< 0.1%
Greek 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24285
 
5.3%
13326
 
2.9%
10441
 
2.3%
10315
 
2.3%
9826
 
2.2%
9244
 
2.0%
8212
 
1.8%
7899
 
1.7%
7764
 
1.7%
7238
 
1.6%
Other values (1281) 345642
76.1%
Han
ValueCountFrequency (%)
29
 
9.5%
28
 
9.2%
17
 
5.6%
16
 
5.2%
14
 
4.6%
11
 
3.6%
11
 
3.6%
10
 
3.3%
10
 
3.3%
8
 
2.6%
Other values (58) 152
49.7%
Common
ValueCountFrequency (%)
155600
72.4%
. 14142
 
6.6%
( 5022
 
2.3%
) 5020
 
2.3%
1 4010
 
1.9%
, 3391
 
1.6%
2 3000
 
1.4%
' 2890
 
1.3%
3 2405
 
1.1%
0 2357
 
1.1%
Other values (57) 17124
 
8.0%
Latin
ValueCountFrequency (%)
e 6505
 
8.1%
o 4602
 
5.7%
i 3759
 
4.7%
n 3693
 
4.6%
a 3654
 
4.5%
r 3634
 
4.5%
t 3448
 
4.3%
S 3120
 
3.9%
T 2956
 
3.7%
s 2733
 
3.4%
Other values (47) 42370
52.7%
Greek
ValueCountFrequency (%)
Δ 7
50.0%
Π 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454186
60.6%
ASCII 294178
39.2%
Punctuation 915
 
0.1%
CJK 301
 
< 0.1%
None 238
 
< 0.1%
Number Forms 63
 
< 0.1%
Misc Symbols 19
 
< 0.1%
Enclosed Alphanum 19
 
< 0.1%
Geometric Shapes 17
 
< 0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155600
52.9%
. 14142
 
4.8%
e 6505
 
2.2%
( 5022
 
1.7%
) 5020
 
1.7%
o 4602
 
1.6%
1 4010
 
1.4%
i 3759
 
1.3%
n 3693
 
1.3%
a 3654
 
1.2%
Other values (81) 88171
30.0%
Hangul
ValueCountFrequency (%)
24285
 
5.3%
13326
 
2.9%
10441
 
2.3%
10315
 
2.3%
9826
 
2.2%
9244
 
2.0%
8212
 
1.8%
7899
 
1.7%
7764
 
1.7%
7238
 
1.6%
Other values (1276) 345636
76.1%
Punctuation
ValueCountFrequency (%)
389
42.5%
341
37.3%
88
 
9.6%
71
 
7.8%
24
 
2.6%
2
 
0.2%
None
ValueCountFrequency (%)
· 59
24.8%
46
19.3%
46
19.3%
21
 
8.8%
21
 
8.8%
8
 
3.4%
Δ 7
 
2.9%
Π 7
 
2.9%
5
 
2.1%
5
 
2.1%
Other values (6) 13
 
5.5%
CJK
ValueCountFrequency (%)
29
 
9.6%
28
 
9.3%
17
 
5.6%
16
 
5.3%
14
 
4.7%
11
 
3.7%
11
 
3.7%
10
 
3.3%
10
 
3.3%
8
 
2.7%
Other values (56) 147
48.8%
Number Forms
ValueCountFrequency (%)
24
38.1%
11
17.5%
10
15.9%
10
15.9%
8
 
12.7%
Misc Symbols
ValueCountFrequency (%)
14
73.7%
3
 
15.8%
2
 
10.5%
Geometric Shapes
ValueCountFrequency (%)
9
52.9%
8
47.1%
Enclosed Alphanum
ValueCountFrequency (%)
7
36.8%
7
36.8%
5
26.3%
CJK Compat Ideographs
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Compat Jamo
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

저작자고객관리번호
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5118 
220000000000
3643 
120000000000
1049 
420000000000
 
110
720000000000
 
79

Length

Max length12
Median length4
Mean length7.9056
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row220000000000
3rd row<NA>
4th row220000000000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5118
51.2%
220000000000 3643
36.4%
120000000000 1049
 
10.5%
420000000000 110
 
1.1%
720000000000 79
 
0.8%
620000000000 1
 
< 0.1%

Length

2023-12-13T03:44:33.143931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:44:33.342961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5118
51.2%
220000000000 3643
36.4%
120000000000 1049
 
10.5%
420000000000 110
 
1.1%
720000000000 79
 
0.8%
620000000000 1
 
< 0.1%
Distinct1231
Distinct (%)19.7%
Missing3748
Missing (%)37.5%
Memory size156.2 KiB
2023-12-13T03:44:33.766577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters62520
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)7.6%

Sample

1st row2009-12-28
2nd row2001-03-06
3rd row2012-10-05
4th row2011-03-01
5th row0000-20-01
ValueCountFrequency (%)
2005-06-30 125
 
2.0%
0019-96-04 107
 
1.7%
0019-95-08 105
 
1.7%
0019-96-03 77
 
1.2%
2001-02-01 73
 
1.2%
2008-12-12 63
 
1.0%
0019-96-01 61
 
1.0%
0020-05-06 59
 
0.9%
2015-05-11 53
 
0.8%
0019-96-02 52
 
0.8%
Other values (1221) 5477
87.6%
2023-12-13T03:44:34.377340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17872
28.6%
- 12504
20.0%
1 9944
15.9%
2 7603
12.2%
9 4303
 
6.9%
6 2013
 
3.2%
8 1759
 
2.8%
5 1725
 
2.8%
3 1665
 
2.7%
7 1594
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50016
80.0%
Dash Punctuation 12504
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17872
35.7%
1 9944
19.9%
2 7603
15.2%
9 4303
 
8.6%
6 2013
 
4.0%
8 1759
 
3.5%
5 1725
 
3.4%
3 1665
 
3.3%
7 1594
 
3.2%
4 1538
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 12504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17872
28.6%
- 12504
20.0%
1 9944
15.9%
2 7603
12.2%
9 4303
 
6.9%
6 2013
 
3.2%
8 1759
 
2.8%
5 1725
 
2.8%
3 1665
 
2.7%
7 1594
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17872
28.6%
- 12504
20.0%
1 9944
15.9%
2 7603
12.2%
9 4303
 
6.9%
6 2013
 
3.2%
8 1759
 
2.8%
5 1725
 
2.8%
3 1665
 
2.7%
7 1594
 
2.5%
Distinct93
Distinct (%)21.6%
Missing9570
Missing (%)95.7%
Memory size156.2 KiB
2023-12-13T03:44:34.869952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length30
Mean length11.52093
Min length1

Characters and Unicode

Total characters4954
Distinct characters249
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)12.1%

Sample

1st row집(녹음실)
2nd row코맬글로벌 주식회사(서울시 효창동 소재)
3rd row코맬글로벌 주식회사(서울시 효창동 소재)
4th row충북 괴산군 청천면 거봉리 산사
5th row충북 괴산군 청천면 거봉리 산사
ValueCountFrequency (%)
서울 79
 
6.7%
충북 67
 
5.7%
괴산군 63
 
5.3%
청천면 63
 
5.3%
거봉리 63
 
5.3%
산사 63
 
5.3%
소재 55
 
4.7%
코맬글로벌 26
 
2.2%
주식회사(서울시 26
 
2.2%
효창동 26
 
2.2%
Other values (185) 651
55.1%
2023-12-13T03:44:35.601512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
761
 
15.4%
218
 
4.4%
200
 
4.0%
166
 
3.4%
102
 
2.1%
97
 
2.0%
94
 
1.9%
( 91
 
1.8%
) 91
 
1.8%
88
 
1.8%
Other values (239) 3046
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3780
76.3%
Space Separator 761
 
15.4%
Decimal Number 133
 
2.7%
Open Punctuation 92
 
1.9%
Close Punctuation 92
 
1.9%
Other Punctuation 38
 
0.8%
Lowercase Letter 33
 
0.7%
Dash Punctuation 19
 
0.4%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
218
 
5.8%
200
 
5.3%
166
 
4.4%
102
 
2.7%
97
 
2.6%
94
 
2.5%
88
 
2.3%
82
 
2.2%
79
 
2.1%
76
 
2.0%
Other values (201) 2578
68.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
24.2%
s 5
15.2%
l 4
12.1%
a 3
 
9.1%
d 2
 
6.1%
t 2
 
6.1%
n 2
 
6.1%
o 1
 
3.0%
h 1
 
3.0%
v 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
5 24
18.0%
0 23
17.3%
4 23
17.3%
7 23
17.3%
1 16
12.0%
2 8
 
6.0%
6 7
 
5.3%
3 5
 
3.8%
9 3
 
2.3%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
" 34
89.5%
. 2
 
5.3%
# 1
 
2.6%
: 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
A 2
33.3%
N 1
16.7%
T 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 91
98.9%
[ 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 91
98.9%
] 1
 
1.1%
Space Separator
ValueCountFrequency (%)
761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3771
76.1%
Common 1135
 
22.9%
Latin 39
 
0.8%
Han 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
218
 
5.8%
200
 
5.3%
166
 
4.4%
102
 
2.7%
97
 
2.6%
94
 
2.5%
88
 
2.3%
82
 
2.2%
79
 
2.1%
76
 
2.0%
Other values (198) 2569
68.1%
Common
ValueCountFrequency (%)
761
67.0%
( 91
 
8.0%
) 91
 
8.0%
" 34
 
3.0%
5 24
 
2.1%
0 23
 
2.0%
4 23
 
2.0%
7 23
 
2.0%
- 19
 
1.7%
1 16
 
1.4%
Other values (10) 30
 
2.6%
Latin
ValueCountFrequency (%)
e 8
20.5%
s 5
12.8%
l 4
10.3%
a 3
 
7.7%
d 2
 
5.1%
P 2
 
5.1%
t 2
 
5.1%
n 2
 
5.1%
A 2
 
5.1%
o 1
 
2.6%
Other values (8) 8
20.5%
Han
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3771
76.1%
ASCII 1174
 
23.7%
CJK 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
761
64.8%
( 91
 
7.8%
) 91
 
7.8%
" 34
 
2.9%
5 24
 
2.0%
0 23
 
2.0%
4 23
 
2.0%
7 23
 
2.0%
- 19
 
1.6%
1 16
 
1.4%
Other values (28) 69
 
5.9%
Hangul
ValueCountFrequency (%)
218
 
5.8%
200
 
5.3%
166
 
4.4%
102
 
2.7%
97
 
2.6%
94
 
2.5%
88
 
2.3%
82
 
2.2%
79
 
2.1%
76
 
2.0%
Other values (198) 2569
68.1%
CJK
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%

실연사용명
Text

MISSING 

Distinct130
Distinct (%)36.6%
Missing9645
Missing (%)96.5%
Memory size156.2 KiB
2023-12-13T03:44:35.973348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length8.4788732
Min length2

Characters and Unicode

Total characters3010
Distinct characters326
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

Unique89 ?
Unique (%)25.1%

Sample

1st row최정철
2nd rowWHEN IS DADDY COMING HOME?(웬 이즈 대디 커밍 홈?)
3rd row신드롬 영어 로우 인터미디에이트 과정
4th row김중섭
5th row김중섭
ValueCountFrequency (%)
김중섭 63
 
9.4%
국악장단 32
 
4.8%
신식 15
 
2.2%
i&dream 13
 
1.9%
장봉문 13
 
1.9%
최정철 13
 
1.9%
제1집 12
 
1.8%
이숙인 10
 
1.5%
1집 10
 
1.5%
사단법인 9
 
1.3%
Other values (295) 481
71.7%
2023-12-13T03:44:36.700366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
 
10.9%
93
 
3.1%
72
 
2.4%
72
 
2.4%
60
 
2.0%
56
 
1.9%
) 51
 
1.7%
( 51
 
1.7%
48
 
1.6%
A 48
 
1.6%
Other values (316) 2130
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1727
57.4%
Uppercase Letter 463
 
15.4%
Space Separator 329
 
10.9%
Lowercase Letter 241
 
8.0%
Other Punctuation 82
 
2.7%
Decimal Number 62
 
2.1%
Close Punctuation 51
 
1.7%
Open Punctuation 51
 
1.7%
Other Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
 
5.4%
72
 
4.2%
72
 
4.2%
60
 
3.5%
56
 
3.2%
48
 
2.8%
41
 
2.4%
33
 
1.9%
33
 
1.9%
32
 
1.9%
Other values (254) 1187
68.7%
Uppercase Letter
ValueCountFrequency (%)
A 48
 
10.4%
T 40
 
8.6%
I 39
 
8.4%
O 34
 
7.3%
D 34
 
7.3%
R 33
 
7.1%
E 28
 
6.0%
H 27
 
5.8%
L 27
 
5.8%
S 26
 
5.6%
Other values (15) 127
27.4%
Lowercase Letter
ValueCountFrequency (%)
a 30
12.4%
e 30
12.4%
r 28
11.6%
m 25
10.4%
i 21
8.7%
s 17
7.1%
h 14
 
5.8%
t 13
 
5.4%
n 13
 
5.4%
o 10
 
4.1%
Other values (10) 40
16.6%
Other Punctuation
ValueCountFrequency (%)
' 28
34.1%
& 17
20.7%
! 16
19.5%
, 9
 
11.0%
? 8
 
9.8%
: 3
 
3.7%
· 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 27
43.5%
2 16
25.8%
0 10
 
16.1%
6 5
 
8.1%
3 3
 
4.8%
4 1
 
1.6%
Space Separator
ValueCountFrequency (%)
329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1721
57.2%
Latin 704
23.4%
Common 579
 
19.2%
Han 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
 
5.4%
72
 
4.2%
72
 
4.2%
60
 
3.5%
56
 
3.3%
48
 
2.8%
41
 
2.4%
33
 
1.9%
33
 
1.9%
32
 
1.9%
Other values (252) 1181
68.6%
Latin
ValueCountFrequency (%)
A 48
 
6.8%
T 40
 
5.7%
I 39
 
5.5%
O 34
 
4.8%
D 34
 
4.8%
R 33
 
4.7%
a 30
 
4.3%
e 30
 
4.3%
r 28
 
4.0%
E 28
 
4.0%
Other values (35) 360
51.1%
Common
ValueCountFrequency (%)
329
56.8%
) 51
 
8.8%
( 51
 
8.8%
' 28
 
4.8%
1 27
 
4.7%
& 17
 
2.9%
! 16
 
2.8%
2 16
 
2.8%
0 10
 
1.7%
, 9
 
1.6%
Other values (7) 25
 
4.3%
Han
ValueCountFrequency (%)
3
50.0%
3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1721
57.2%
ASCII 1278
42.5%
CJK 6
 
0.2%
Misc Symbols 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
25.7%
) 51
 
4.0%
( 51
 
4.0%
A 48
 
3.8%
T 40
 
3.1%
I 39
 
3.1%
O 34
 
2.7%
D 34
 
2.7%
R 33
 
2.6%
a 30
 
2.3%
Other values (50) 589
46.1%
Hangul
ValueCountFrequency (%)
93
 
5.4%
72
 
4.2%
72
 
4.2%
60
 
3.5%
56
 
3.3%
48
 
2.8%
41
 
2.4%
33
 
1.9%
33
 
1.9%
32
 
1.9%
Other values (252) 1181
68.6%
Misc Symbols
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
3
50.0%
3
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

부가설명
Text

MISSING 

Distinct6930
Distinct (%)90.4%
Missing2337
Missing (%)23.4%
Memory size156.2 KiB
2023-12-13T03:44:37.374887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length103
Mean length41.107791
Min length10

Characters and Unicode

Total characters315009
Distinct characters882
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6335 ?
Unique (%)82.7%

Sample

1st row레이블의 명칭 : 3집 Sound G. / 3집 사운드 지, 크기 : 3분 24초
2nd row레이블의 명칭: Atelier / 아틀리에, 크기 : 03'22"
3rd row레이블의 명칭 : Black Box / 블랙 박스, 크기 : 3분 30초
4th row레이블의 명칭 : 영원한 너, 음의 크기 : 4분2초
5th row레이블의 명칭 : Talk about S. / 토크 어바웃 에스., 크기 : 3분 31초
ValueCountFrequency (%)
16901
20.9%
크기 7518
 
9.3%
레이블의 7102
 
8.8%
명칭 7089
 
8.8%
음의 3341
 
4.1%
3분 1306
 
1.6%
4분 794
 
1.0%
2분 572
 
0.7%
저작인접물 509
 
0.6%
동일 509
 
0.6%
Other values (5682) 35179
43.5%
2023-12-13T03:44:38.295745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73300
23.3%
: 17096
 
5.4%
11178
 
3.5%
9254
 
2.9%
, 8038
 
2.6%
7847
 
2.5%
7718
 
2.5%
7699
 
2.4%
7592
 
2.4%
7555
 
2.4%
Other values (872) 157732
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123938
39.3%
Space Separator 73300
23.3%
Lowercase Letter 32864
 
10.4%
Decimal Number 31674
 
10.1%
Other Punctuation 29876
 
9.5%
Uppercase Letter 17329
 
5.5%
Open Punctuation 2252
 
0.7%
Close Punctuation 2245
 
0.7%
Dash Punctuation 762
 
0.2%
Math Symbol 527
 
0.2%
Other values (4) 242
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11178
 
9.0%
9254
 
7.5%
7847
 
6.3%
7718
 
6.2%
7699
 
6.2%
7592
 
6.1%
7555
 
6.1%
7472
 
6.0%
5229
 
4.2%
5073
 
4.1%
Other values (764) 47321
38.2%
Lowercase Letter
ValueCountFrequency (%)
e 4624
14.1%
o 3016
 
9.2%
a 2597
 
7.9%
i 2507
 
7.6%
n 2438
 
7.4%
r 2300
 
7.0%
t 2232
 
6.8%
s 1744
 
5.3%
l 1734
 
5.3%
u 1308
 
4.0%
Other values (27) 8364
25.5%
Uppercase Letter
ValueCountFrequency (%)
S 2206
 
12.7%
T 1805
 
10.4%
O 1378
 
8.0%
M 1168
 
6.7%
E 995
 
5.7%
I 915
 
5.3%
A 885
 
5.1%
L 874
 
5.0%
C 763
 
4.4%
N 709
 
4.1%
Other values (18) 5631
32.5%
Other Punctuation
ValueCountFrequency (%)
: 17096
57.2%
, 8038
26.9%
/ 1426
 
4.8%
. 1106
 
3.7%
' 1066
 
3.6%
" 707
 
2.4%
& 192
 
0.6%
! 91
 
0.3%
# 55
 
0.2%
; 36
 
0.1%
Other values (4) 63
 
0.2%
Decimal Number
ValueCountFrequency (%)
3 5852
18.5%
4 4942
15.6%
2 4404
13.9%
1 4368
13.8%
0 4084
12.9%
5 3148
9.9%
6 1317
 
4.2%
9 1213
 
3.8%
7 1196
 
3.8%
8 1150
 
3.6%
Letter Number
ValueCountFrequency (%)
23
33.8%
15
22.1%
12
17.6%
10
14.7%
8
 
11.8%
Math Symbol
ValueCountFrequency (%)
~ 448
85.0%
+ 35
 
6.6%
> 22
 
4.2%
< 22
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 2060
91.5%
[ 192
 
8.5%
Close Punctuation
ValueCountFrequency (%)
) 2053
91.4%
] 192
 
8.6%
Final Punctuation
ValueCountFrequency (%)
54
78.3%
15
 
21.7%
Space Separator
ValueCountFrequency (%)
73300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 762
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 78
100.0%
Initial Punctuation
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140810
44.7%
Hangul 123768
39.3%
Latin 50248
 
16.0%
Han 170
 
0.1%
Cyrillic 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11178
 
9.0%
9254
 
7.5%
7847
 
6.3%
7718
 
6.2%
7699
 
6.2%
7592
 
6.1%
7555
 
6.1%
7472
 
6.0%
5229
 
4.2%
5073
 
4.1%
Other values (741) 47151
38.1%
Latin
ValueCountFrequency (%)
e 4624
 
9.2%
o 3016
 
6.0%
a 2597
 
5.2%
i 2507
 
5.0%
n 2438
 
4.9%
r 2300
 
4.6%
t 2232
 
4.4%
S 2206
 
4.4%
T 1805
 
3.6%
s 1744
 
3.5%
Other values (49) 24779
49.3%
Common
ValueCountFrequency (%)
73300
52.1%
: 17096
 
12.1%
, 8038
 
5.7%
3 5852
 
4.2%
4 4942
 
3.5%
2 4404
 
3.1%
1 4368
 
3.1%
0 4084
 
2.9%
5 3148
 
2.2%
( 2060
 
1.5%
Other values (28) 13518
 
9.6%
Han
ValueCountFrequency (%)
15
 
8.8%
14
 
8.2%
11
 
6.5%
11
 
6.5%
11
 
6.5%
11
 
6.5%
10
 
5.9%
10
 
5.9%
10
 
5.9%
9
 
5.3%
Other values (13) 58
34.1%
Cyrillic
ValueCountFrequency (%)
а 3
23.1%
т 1
 
7.7%
о 1
 
7.7%
к 1
 
7.7%
е 1
 
7.7%
л 1
 
7.7%
А 1
 
7.7%
н 1
 
7.7%
и 1
 
7.7%
в 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190845
60.6%
Hangul 123768
39.3%
CJK 167
 
0.1%
Punctuation 123
 
< 0.1%
Number Forms 68
 
< 0.1%
None 22
 
< 0.1%
Cyrillic 13
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73300
38.4%
: 17096
 
9.0%
, 8038
 
4.2%
3 5852
 
3.1%
4 4942
 
2.6%
e 4624
 
2.4%
2 4404
 
2.3%
1 4368
 
2.3%
0 4084
 
2.1%
5 3148
 
1.6%
Other values (74) 60989
32.0%
Hangul
ValueCountFrequency (%)
11178
 
9.0%
9254
 
7.5%
7847
 
6.3%
7718
 
6.2%
7699
 
6.2%
7592
 
6.1%
7555
 
6.1%
7472
 
6.0%
5229
 
4.2%
5073
 
4.1%
Other values (741) 47151
38.1%
Punctuation
ValueCountFrequency (%)
54
43.9%
27
22.0%
27
22.0%
15
 
12.2%
Number Forms
ValueCountFrequency (%)
23
33.8%
15
22.1%
12
17.6%
10
14.7%
8
 
11.8%
CJK
ValueCountFrequency (%)
15
 
9.0%
14
 
8.4%
11
 
6.6%
11
 
6.6%
11
 
6.6%
11
 
6.6%
10
 
6.0%
10
 
6.0%
10
 
6.0%
9
 
5.4%
Other values (11) 55
32.9%
None
ValueCountFrequency (%)
· 12
54.5%
8
36.4%
œ 1
 
4.5%
ß 1
 
4.5%
Cyrillic
ValueCountFrequency (%)
а 3
23.1%
т 1
 
7.7%
о 1
 
7.7%
к 1
 
7.7%
е 1
 
7.7%
л 1
 
7.7%
А 1
 
7.7%
н 1
 
7.7%
и 1
 
7.7%
в 1
 
7.7%
CJK Compat Ideographs
ValueCountFrequency (%)
2
66.7%
1
33.3%

등록일시
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9858 
1995-05-04 0:00
 
134
1990-05-22 0:00
 
7
1988-09-16 0:00
 
1

Length

Max length15
Median length4
Mean length4.1562
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1995-05-04 0:00
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9858
98.6%
1995-05-04 0:00 134
 
1.3%
1990-05-22 0:00 7
 
0.1%
1988-09-16 0:00 1
 
< 0.1%

Length

2023-12-13T03:44:38.502361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:44:38.662940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9858
97.2%
0:00 142
 
1.4%
1995-05-04 134
 
1.3%
1990-05-22 7
 
0.1%
1988-09-16 1
 
< 0.1%

전산화일자
Date

MISSING 

Distinct307
Distinct (%)7.4%
Missing5874
Missing (%)58.7%
Memory size156.2 KiB
Minimum2003-04-15 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T03:44:38.875121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:44:39.096035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유통여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing5067
Missing (%)50.7%
Memory size97.7 KiB
False
4697 
True
 
236
(Missing)
5067 
ValueCountFrequency (%)
False 4697
47.0%
True 236
 
2.4%
(Missing) 5067
50.7%
2023-12-13T03:44:39.251642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수정여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9998 
True
 
2
ValueCountFrequency (%)
False 9998
> 99.9%
True 2
 
< 0.1%
2023-12-13T03:44:39.362084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct639
Distinct (%)13.8%
Missing5371
Missing (%)53.7%
Memory size156.2 KiB
2023-12-13T03:44:39.796314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters46290
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)3.5%

Sample

1st row2009-00-00
2nd row2009-12-28
3rd row2001-03-06
4th row2012-10-05
5th row2011-03-16
ValueCountFrequency (%)
2009-00-00 458
 
9.9%
0019-96-04 106
 
2.3%
0019-95-08 105
 
2.3%
0019-96-03 77
 
1.7%
2001-02-01 73
 
1.6%
0019-96-02 52
 
1.1%
0019-96-01 50
 
1.1%
0019-95-09 49
 
1.1%
1992-01-01 37
 
0.8%
1999-01-01 35
 
0.8%
Other values (629) 3587
77.5%
2023-12-13T03:44:40.498725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14272
30.8%
- 9258
20.0%
1 7035
15.2%
2 5087
 
11.0%
9 4123
 
8.9%
6 1242
 
2.7%
8 1114
 
2.4%
4 1088
 
2.4%
5 1073
 
2.3%
3 1066
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37032
80.0%
Dash Punctuation 9258
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14272
38.5%
1 7035
19.0%
2 5087
 
13.7%
9 4123
 
11.1%
6 1242
 
3.4%
8 1114
 
3.0%
4 1088
 
2.9%
5 1073
 
2.9%
3 1066
 
2.9%
7 932
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 9258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14272
30.8%
- 9258
20.0%
1 7035
15.2%
2 5087
 
11.0%
9 4123
 
8.9%
6 1242
 
2.7%
8 1114
 
2.4%
4 1088
 
2.4%
5 1073
 
2.3%
3 1066
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14272
30.8%
- 9258
20.0%
1 7035
15.2%
2 5087
 
11.0%
9 4123
 
8.9%
6 1242
 
2.7%
8 1114
 
2.4%
4 1088
 
2.4%
5 1073
 
2.3%
3 1066
 
2.3%
Distinct3778
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2000-12-26 00:00:00
Maximum2021-09-02 14:12:00
2023-12-13T03:44:40.768861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:44:41.037972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

MISSING 

Distinct404
Distinct (%)5.4%
Missing2584
Missing (%)25.8%
Memory size156.2 KiB
Minimum2001-12-29 00:00:00
Maximum2021-09-10 10:10:00
2023-12-13T03:44:41.286959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:44:41.540747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-13T03:44:41.699007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
저작물고정내용저작자고객관리번호저작인접권발생장소내용등록일시유통여부수정여부
저작물고정내용1.0000.6060.9851.0000.3060.000
저작자고객관리번호0.6061.0000.994NaNNaN0.050
저작인접권발생장소내용0.9850.9941.000NaN0.930NaN
등록일시1.000NaNNaN1.000NaNNaN
유통여부0.306NaN0.930NaN1.000NaN
수정여부0.0000.050NaNNaNNaN1.000
2023-12-13T03:44:41.890054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유통여부저작자고객관리번호등록일시수정여부
유통여부1.0001.0001.0001.000
저작자고객관리번호1.0001.000NaN0.062
등록일시1.000NaN1.0001.000
수정여부1.0000.0621.0001.000
2023-12-13T03:44:42.053132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
저작자고객관리번호등록일시유통여부수정여부
저작자고객관리번호1.0000.0001.0000.062
등록일시0.0001.0001.0001.000
유통여부1.0001.0001.0001.000
수정여부0.0621.0001.0001.000

Missing values

2023-12-13T03:44:25.459771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:44:25.904788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T03:44:26.367359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

등록시스템계정등록계정저작물제호저작물고정내용저작물내용저작자고객관리번호저작인접권발생일자저작인접권발생장소내용실연사용명부가설명등록일시전산화일자유통여부수정여부저작인접권발행일자생성일시수정일시
1177G000059173BN-1995-002109강인원 BEST 노래 모음집카셋트테잎 및 CD 각 1개<NA><NA><NA><NA><NA><NA>1995-05-04 0:00<NA>NN<NA>2005-07-29 0:00<NA>
3113G000242479<NA>단가 (어화세상)CD<NA>220000000000<NA><NA><NA><NA><NA><NA>NN2009-00-002009-12-29 0:00<NA>
3558G000581516N-2014-000518Candy Man (Inst.) / 캔디 맨 (Inst.)CD-1이 음원은 브라운아이드걸스가(이) 발표한 3집 Sound G. / 3집 사운드 지에 수록되어 있는 Candy Man (Inst.) / 캔디 맨 (Inst.)이란 곡이다.<NA><NA><NA><NA>레이블의 명칭 : 3집 Sound G. / 3집 사운드 지, 크기 : 3분 24초<NA><NA><NA>N<NA>2014-03-23 0:002014-04-01 17:57
2442G000259605N-2010-000097그 날 이후부터CD, 1주식회사 로엔엔터테인먼트Atelier / 아틀리에그 날 이후부터2200000000002009-12-28<NA><NA>레이블의 명칭: Atelier / 아틀리에, 크기 : 03'22"<NA><NA>NN2009-12-282010-05-25 0:002010-05-31 0:00
3767G000580880N-2014-000044Boy / 보이CD-1이 음원은 브라운아이드걸스가(이) 발표한 Black Box / 블랙 박스에 수록되어 있는 Boy / 보이이란 곡이다.<NA><NA><NA><NA>레이블의 명칭 : Black Box / 블랙 박스, 크기 : 3분 30초<NA><NA><NA>N<NA>2014-03-21 17:552014-04-01 17:57
9414G000897939N-2020-000423I'm Your Man (아임 유어 맨)디지털파일 1국내 힙합 그룹들의 랩세션으로 활약하던 신인 아닌 신인이다. 11곡의 팝적이면서 감미로운 R&B와 HIP-HOP곡들로 구성되어 있는 앨범이다. 열번째 트랙 'I'm Your Man'은 최희진이 작사했고 심상원이 작곡했다.<수록곡>1.Shoutouts To My Homiez! (Intro)2.Only Love3.영원한 너4.사계5.I Know6.On Air7.In Love8.My Life9.귀로 (歸路)10.I'm Your Man11.The End12.영원한 너 (Remix)<NA>2001-03-06<NA><NA>레이블의 명칭 : 영원한 너, 음의 크기 : 4분2초<NA>2020-07-15 0:00<NA>N2001-03-062020-07-22 14:422020-07-28 9:52
11405G000899522N-2020-002252십자가의 길, 순교자의 삶USB기독교 종교 음악으로 트리니티블루에 수록된 찬송가입니다.<NA><NA><NA><NA><NA><NA><NA>NN<NA>2020-07-28 10:062020-09-04 15:04
3850G000536923N-2013-000040그녀를 만나CD-1이 음원은Talk about S. / 터크 어바웃 에스.에 수록되어 있는 그녀를 만나이란 곡이다.<NA>2012-10-05<NA><NA>레이블의 명칭 : Talk about S. / 토크 어바웃 에스., 크기 : 3분 31초<NA><NA><NA>N2012-10-052013-01-21 17:162013-01-23 10:47
8758G000812122N-2018-001108되돌아 가는 길CD 1애나와 훈의 만남에는 타이머가 돌아가지 않는다. 사랑일 수도, 아닐 수도 있는 어떤 감정을 나눈 두 남녀가 이제 어떻게 살아갈 것인지를 기대하지도 않는다. 애나의 미소를 포착한 순간, 한 여자의 멈춰진 시간이 다시 흐른다.1200000000002011-03-01<NA><NA>레이블의 명칭 : 영화 '만추'의 OST & Image 앨범, 음의 크기 : 2분 20초<NA><NA><NA>N2011-03-162018-12-17 17:282018-12-19 17:14
7933G000733210N-2017-000085Five Little Ducks, 다섯 마리 새끼 오리디지털파일 1우리에게 많이 알려져 있는 너서리 라임 ‘Five Little Ducks’를 볼거리가 풍부한 그림과 함께 재탄생시킨 스토리북의 영어 노래입니다. 어느날, 다섯 마리 아기 오리가 언덕을 넘어 멀리 놀러 나갔다가 엄마 오리가 부르는 소리에 네 마리밖에 돌아오지 않습니다. 네 마리가 나갔다가 세 마리만, 세 마리가 나갔다가 두 마리만 돌아옵니다. 이렇게 놀러 나간 아기 오리들이 돌아오지 않아 엄마 오리는 마음을 졸이지만 마지막에는 다섯 마리 모두 돌아온다는 스토리입니다. 연못을 배경으로 하는 그림 속에는 잠자리, 달팽이 그리고 이름 모를 작은 물고기들과 다양한 꽃들까지 볼 수 있어 그림을 보며 재미있게 스토리를 즐길 수 있습니다.오디오 CD에 녹음되어 있는 노래는 기억하기 쉬운 간단한 리듬으로 되어 있어 아이들이 빨리 따라 부를 수 있고, 숫자 세기와 뺄셈의 기본 개념을 이해하게 해줍니다.1200000000000000-20-01<NA><NA>레이블의 명칭 : 제이와이북스, Five Little Ducks, 음의 크기 : 2분 02초<NA>2017-05-22 0:00<NA>N0000-20-012017-05-22 17:302017-05-25 14:36
등록시스템계정등록계정저작물제호저작물고정내용저작물내용저작자고객관리번호저작인접권발생일자저작인접권발생장소내용실연사용명부가설명등록일시전산화일자유통여부수정여부저작인접권발행일자생성일시수정일시
3139G000240302N-2009-001215내 평생에 가는 길CD 1이 음원은 한국찬송가 제24집 (469장~487장)에 수록되어 있는 곡[내 평생에 가는 길]이다.2200000000000019-96-04<NA><NA>레이블의 명칭 : 한국찬송가 제24집 (469장~487장), 크기 : 3분 25초<NA><NA>NN0019-96-042009-10-16 0:00<NA>
5045G000584803N-2014-000555그런 줄 알았어 (INST)CD-1이 음원은 지아가 발표한 그런 줄 알았어에 수록되어 있는 그런 줄 알았어 (INST)이란 곡이다.2200000000002013-12-24<NA><NA>레이블의 명칭 : 그런 줄 알았어, 크기 : 3분 33초<NA><NA><NA>N2013-12-242014-04-24 13:552014-04-29 20:44
4694G000522816N-2012-000304하이힐CD-1이 음원은 My Favorite에 수록되어 있는 하이힐이란 곡이다.<NA><NA><NA><NA>레이블의 명칭 : My Favorite / 마이 페이버릿, 크기 : 3분 31초<NA><NA><NA>N<NA>2012-09-12 0:002012-09-14 18:03
10214G000900487N-2020-001727바다같이 넓은 은혜 (572장)USB기독교 종교 음악으로 찬송가 전집에 수록된 찬송가입니다.<NA><NA><NA><NA><NA><NA><NA>NN<NA>2020-07-29 17:052020-09-04 15:04
2915G000240439N-2009-001352당신은 의의 나무 (MR)CD 1이 음원은 창문 2집에 수록되어 있는 곡[당신은 의의 나무 (MR)]이다.2200000000002001-04-19<NA><NA>레이블의 명칭 : 창문 2집, 크기 : 3분 50초<NA><NA>NN2001-04-192009-10-16 0:00<NA>
8542G000779269N-2018-000432행복한가요디지털파일 1박효신 3집(Time-Honored Voice)행복한가요<NA><NA><NA><NA>레이블의 명칭 : 박효신 3집(Time-Honored Voice), 음의 크기 : 04:40<NA>2018-05-14 0:00<NA>N<NA>2018-06-01 16:342018-06-05 17:56
535G000097743N-2002-000006작은 소원CD 1<NA>1200000000002002-03-15<NA>김길섭<NA><NA><NA>NN<NA>2002-03-22 0:00<NA>
290G000239621N-2009-000534Why me baby(Instrumental) / 와이 미 베이비CD 1이 음원은 2001 I Love Hip-Hop / 2001 아이 러브 힙합에 수록되어 있는 곡[Why me baby(Instrumental) / 와이 미 베이비]이다.2200000000002001-06-01<NA><NA>레이블의 명칭 : 2001 I Love Hip-Hop / 2001 아이 러브 힙합, 크기 : 3분 18초<NA><NA>NN2001-06-012009-10-16 0:00<NA>
9333G000897387N-2020-000952꽃바람 부는 길(윤희테마)USB드라마 성균관 스캔들 파트2 삽입곡으로 윤희 테마송입니다.<NA><NA><NA><NA><NA><NA><NA>NN<NA>2020-07-20 16:322020-09-04 15:03
7853G000699334N-2016-000502Abschied, Op. 69 , No. 3 (이별)DVD 1독일의 작곡가 요하네스 브람스(1833~1897)이 벤지히의 시로 작곡한 가곡이다.보헤미아 민요풍이 특징이며 멀리 떠나가는 연인의 한탄을 노래하였다. mp3파일 형식의 디지털 파일 형태로 고정이 되었다.2200000000002016-06-21<NA><NA>레이블의 명칭 : 저작인접물 제호와 동일, 크기 : 01:30<NA><NA>NN<NA>2016-08-12 9:162016-08-18 21:03