Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells8466
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory781.2 KiB
Average record size in memory80.0 B

Variable types

Text8
Categorical1

Dataset

Description국립중앙극장 공연예술자료 폴더정보에 대한 데이터로 폴더번호, 제목, 수행기간, 장소, 수행주체, 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15089992/fileData.do

Alerts

기간구분 is highly imbalanced (58.8%)Imbalance
부제목 has 6781 (67.8%) missing valuesMissing
기간시작일 has 823 (8.2%) missing valuesMissing
기간종료일 has 823 (8.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:17:50.663206
Analysis finished2023-12-12 16:17:54.086436
Duration3.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폴더번호
Text

Distinct9991
Distinct (%)100.0%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T01:17:54.340095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters99910
Distinct characters25
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

Unique9991 ?
Unique (%)100.0%

Sample

1st rowDn20040008
2nd rowSh20210006
3rd rowDn19990025
4th rowMs20100154
5th rowEv19750003
ValueCountFrequency (%)
ms19700053 1
 
< 0.1%
ms19760135 1
 
< 0.1%
dn20160039 1
 
< 0.1%
dr19740034 1
 
< 0.1%
ms19740032 1
 
< 0.1%
ms20090011 1
 
< 0.1%
ms19790133 1
 
< 0.1%
dr20000022 1
 
< 0.1%
ms19710001 1
 
< 0.1%
rs20010001 1
 
< 0.1%
Other values (9981) 9981
99.9%
2023-12-13T01:17:54.909205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29249
29.3%
1 13782
13.8%
9 8832
 
8.8%
2 8286
 
8.3%
s 5373
 
5.4%
M 5372
 
5.4%
8 4042
 
4.0%
7 3752
 
3.8%
D 3297
 
3.3%
6 3217
 
3.2%
Other values (15) 14708
14.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79927
80.0%
Lowercase Letter 9991
 
10.0%
Uppercase Letter 9991
 
10.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29249
36.6%
1 13782
17.2%
9 8832
 
11.1%
2 8286
 
10.4%
8 4042
 
5.1%
7 3752
 
4.7%
6 3217
 
4.0%
3 3021
 
3.8%
4 2883
 
3.6%
5 2863
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 5373
53.8%
n 2117
 
21.2%
r 1529
 
15.3%
h 494
 
4.9%
v 233
 
2.3%
d 169
 
1.7%
l 76
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
M 5372
53.8%
D 3297
33.0%
S 480
 
4.8%
E 416
 
4.2%
G 349
 
3.5%
P 76
 
0.8%
R 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79928
80.0%
Latin 19982
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 5373
26.9%
M 5372
26.9%
D 3297
16.5%
n 2117
 
10.6%
r 1529
 
7.7%
h 494
 
2.5%
S 480
 
2.4%
E 416
 
2.1%
G 349
 
1.7%
v 233
 
1.2%
Other values (4) 322
 
1.6%
Common
ValueCountFrequency (%)
0 29249
36.6%
1 13782
17.2%
9 8832
 
11.0%
2 8286
 
10.4%
8 4042
 
5.1%
7 3752
 
4.7%
6 3217
 
4.0%
3 3021
 
3.8%
4 2883
 
3.6%
5 2863
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29249
29.3%
1 13782
13.8%
9 8832
 
8.8%
2 8286
 
8.3%
s 5373
 
5.4%
M 5372
 
5.4%
8 4042
 
4.0%
7 3752
 
3.8%
D 3297
 
3.3%
6 3217
 
3.2%
Other values (15) 14708
14.7%

폴더유형
Text

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:17:55.202677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.0662
Min length1

Characters and Unicode

Total characters30662
Distinct characters125
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

Unique16 ?
Unique (%)0.2%

Sample

1st row창작무용
2nd row종합공연
3rd row현대무용
4th row오페라
5th row외부
ValueCountFrequency (%)
일반연극 1228
 
12.3%
음악 1206
 
12.1%
오페라 862
 
8.6%
발레 517
 
5.2%
합창 445
 
4.5%
무용 357
 
3.6%
오케스트라 326
 
3.3%
창작무용 314
 
3.1%
종합공연 300
 
3.0%
국악관현악 270
 
2.7%
Other values (101) 4175
41.8%
2023-12-13T01:17:55.627166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
악 2423
 
7.9%
연 1960
 
6.4%
극 1877
 
6.1%
반 1411
 
4.6%
일 1369
 
4.5%
합 1359
 
4.4%
음 1303
 
4.2%
무 1243
 
4.1%
라 1225
 
4.0%
용 1219
 
4.0%
Other values (115) 15273
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30661
> 99.9%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
악 2423
 
7.9%
연 1960
 
6.4%
극 1877
 
6.1%
반 1411
 
4.6%
일 1369
 
4.5%
합 1359
 
4.4%
음 1303
 
4.2%
무 1243
 
4.1%
라 1225
 
4.0%
용 1219
 
4.0%
Other values (114) 15272
49.8%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30661
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
악 2423
 
7.9%
연 1960
 
6.4%
극 1877
 
6.1%
반 1411
 
4.6%
일 1369
 
4.5%
합 1359
 
4.4%
음 1303
 
4.2%
무 1243
 
4.1%
라 1225
 
4.0%
용 1219
 
4.0%
Other values (114) 15272
49.8%
Common
ValueCountFrequency (%)
4 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30661
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
악 2423
 
7.9%
연 1960
 
6.4%
극 1877
 
6.1%
반 1411
 
4.6%
일 1369
 
4.5%
합 1359
 
4.4%
음 1303
 
4.2%
무 1243
 
4.1%
라 1225
 
4.0%
용 1219
 
4.0%
Other values (114) 15272
49.8%
ASCII
ValueCountFrequency (%)
4 1
100.0%

제목
Text

Distinct9268
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:17:55.955331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length130
Median length79
Mean length17.7821
Min length1

Characters and Unicode

Total characters177821
Distinct characters1955
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8837 ?
Unique (%)88.4%

Sample

1st row空間(공간)-그 무한의 가능성Ⅱ
2nd row2021 정동의 여름
3rd row1999 세계무용축제(SIDance)
4th row2010 메피스토펠레
5th row1975 전국문화예술인대회(全國文化藝術人大會)
ValueCountFrequency (%)
정기연주회 407
 
1.2%
밤 328
 
0.9%
국립극장 315
 
0.9%
피아노 261
 
0.7%
독주회 250
 
0.7%
2017 246
 
0.7%
2016 242
 
0.7%
2019 219
 
0.6%
2018 213
 
0.6%
독창회 209
 
0.6%
Other values (13274) 32413
92.3%
2023-12-13T01:17:56.489981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25164
 
14.2%
1 4845
 
2.7%
0 4479
 
2.5%
2 3810
 
2.1%
9 3659
 
2.1%
회 3050
 
1.7%
( 2995
 
1.7%
) 2992
 
1.7%
e 2632
 
1.5%
a 2078
 
1.2%
Other values (1945) 122117
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94042
52.9%
Space Separator 25164
 
14.2%
Decimal Number 22052
 
12.4%
Lowercase Letter 19452
 
10.9%
Uppercase Letter 7393
 
4.2%
Open Punctuation 2996
 
1.7%
Close Punctuation 2995
 
1.7%
Other Punctuation 2379
 
1.3%
Dash Punctuation 590
 
0.3%
Connector Punctuation 550
 
0.3%
Other values (2) 208
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 3050
 
3.2%
연 2063
 
2.2%
의 1854
 
2.0%
국 1727
 
1.8%
주 1663
 
1.8%
악 1637
 
1.7%
리 1490
 
1.6%
기 1371
 
1.5%
이 1247
 
1.3%
아 1215
 
1.3%
Other values (1831) 76725
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 2632
13.5%
a 2078
10.7%
i 1757
9.0%
o 1606
 
8.3%
n 1573
 
8.1%
r 1518
 
7.8%
t 1194
 
6.1%
s 1071
 
5.5%
l 1013
 
5.2%
h 671
 
3.4%
Other values (28) 4339
22.3%
Uppercase Letter
ValueCountFrequency (%)
S 626
 
8.5%
T 580
 
7.8%
A 543
 
7.3%
L 434
 
5.9%
E 432
 
5.8%
R 416
 
5.6%
C 405
 
5.5%
O 391
 
5.3%
M 386
 
5.2%
B 374
 
5.1%
Other values (25) 2806
38.0%
Other Punctuation
ValueCountFrequency (%)
: 1054
44.3%
, 495
20.8%
. 434
18.2%
& 132
 
5.5%
; 94
 
4.0%
· 64
 
2.7%
! 42
 
1.8%
' 25
 
1.1%
/ 19
 
0.8%
" 16
 
0.7%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 4845
22.0%
0 4479
20.3%
2 3810
17.3%
9 3659
16.6%
8 1310
 
5.9%
7 1077
 
4.9%
6 829
 
3.8%
5 748
 
3.4%
3 650
 
2.9%
4 645
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 40
38.8%
Ⅲ 28
27.2%
Ⅰ 19
18.4%
Ⅳ 9
 
8.7%
Ⅴ 6
 
5.8%
Ⅹ 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 90
85.7%
< 6
 
5.7%
> 6
 
5.7%
× 2
 
1.9%
+ 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 2995
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2992
99.9%
] 3
 
0.1%
Space Separator
ValueCountFrequency (%)
25164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87708
49.3%
Common 56831
32.0%
Latin 26920
 
15.1%
Han 6326
 
3.6%
Cyrillic 28
 
< 0.1%
Katakana 5
 
< 0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 3050
 
3.5%
연 2063
 
2.4%
의 1854
 
2.1%
국 1727
 
2.0%
주 1663
 
1.9%
악 1637
 
1.9%
리 1490
 
1.7%
기 1371
 
1.6%
이 1247
 
1.4%
아 1215
 
1.4%
Other values (998) 70391
80.3%
Han
ValueCountFrequency (%)
會 497
 
7.9%
樂 195
 
3.1%
奏 193
 
3.1%
獨 155
 
2.5%
演 145
 
2.3%
發 122
 
1.9%
表 121
 
1.9%
樂 119
 
1.9%
唱 112
 
1.8%
國 109
 
1.7%
Other values (815) 4558
72.1%
Latin
ValueCountFrequency (%)
e 2632
 
9.8%
a 2078
 
7.7%
i 1757
 
6.5%
o 1606
 
6.0%
n 1573
 
5.8%
r 1518
 
5.6%
t 1194
 
4.4%
s 1071
 
4.0%
l 1013
 
3.8%
h 671
 
2.5%
Other values (48) 11807
43.9%
Common
ValueCountFrequency (%)
25164
44.3%
1 4845
 
8.5%
0 4479
 
7.9%
2 3810
 
6.7%
9 3659
 
6.4%
( 2995
 
5.3%
) 2992
 
5.3%
8 1310
 
2.3%
7 1077
 
1.9%
: 1054
 
1.9%
Other values (25) 5446
 
9.6%
Cyrillic
ValueCountFrequency (%)
и 4
 
14.3%
А 2
 
7.1%
ь 2
 
7.1%
л 2
 
7.1%
к 2
 
7.1%
н 1
 
3.6%
ю 1
 
3.6%
р 1
 
3.6%
ц 1
 
3.6%
С 1
 
3.6%
Other values (11) 11
39.3%
Katakana
ValueCountFrequency (%)
ル 1
20.0%
ス 1
20.0%
ペ 1
20.0%
シ 1
20.0%
ャ 1
20.0%
Hiragana
ValueCountFrequency (%)
ば 1
33.3%
つ 1
33.3%
め 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87708
49.3%
ASCII 83580
47.0%
CJK 6037
 
3.4%
CJK Compat Ideographs 289
 
0.2%
Number Forms 103
 
0.1%
None 66
 
< 0.1%
Cyrillic 28
 
< 0.1%
Katakana 5
 
< 0.1%
Hiragana 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25164
30.1%
1 4845
 
5.8%
0 4479
 
5.4%
2 3810
 
4.6%
9 3659
 
4.4%
( 2995
 
3.6%
) 2992
 
3.6%
e 2632
 
3.1%
a 2078
 
2.5%
i 1757
 
2.1%
Other values (74) 29169
34.9%
Hangul
ValueCountFrequency (%)
회 3050
 
3.5%
연 2063
 
2.4%
의 1854
 
2.1%
국 1727
 
2.0%
주 1663
 
1.9%
악 1637
 
1.9%
리 1490
 
1.7%
기 1371
 
1.6%
이 1247
 
1.4%
아 1215
 
1.4%
Other values (998) 70391
80.3%
CJK
ValueCountFrequency (%)
會 497
 
8.2%
樂 195
 
3.2%
奏 193
 
3.2%
獨 155
 
2.6%
演 145
 
2.4%
發 122
 
2.0%
表 121
 
2.0%
唱 112
 
1.9%
國 109
 
1.8%
舞 102
 
1.7%
Other values (776) 4286
71.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 119
41.2%
李 59
20.4%
女 12
 
4.2%
烈 9
 
3.1%
聯 8
 
2.8%
林 8
 
2.8%
金 6
 
2.1%
沈 6
 
2.1%
戀 4
 
1.4%
六 4
 
1.4%
Other values (29) 54
18.7%
None
ValueCountFrequency (%)
· 64
97.0%
× 2
 
3.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 40
38.8%
Ⅲ 28
27.2%
Ⅰ 19
18.4%
Ⅳ 9
 
8.7%
Ⅴ 6
 
5.8%
Ⅹ 1
 
1.0%
Cyrillic
ValueCountFrequency (%)
и 4
 
14.3%
А 2
 
7.1%
ь 2
 
7.1%
л 2
 
7.1%
к 2
 
7.1%
н 1
 
3.6%
ю 1
 
3.6%
р 1
 
3.6%
ц 1
 
3.6%
С 1
 
3.6%
Other values (11) 11
39.3%
Punctuation
ValueCountFrequency (%)
… 2
100.0%
Katakana
ValueCountFrequency (%)
ル 1
20.0%
ス 1
20.0%
ペ 1
20.0%
シ 1
20.0%
ャ 1
20.0%
Hiragana
ValueCountFrequency (%)
ば 1
33.3%
つ 1
33.3%
め 1
33.3%

부제목
Text

MISSING 

Distinct2407
Distinct (%)74.8%
Missing6781
Missing (%)67.8%
Memory size156.2 KiB
2023-12-13T01:17:56.857088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length54
Mean length15.373408
Min length1

Characters and Unicode

Total characters49487
Distinct characters1020
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2191 ?
Unique (%)68.1%

Sample

1st row아주 사적인 축제
2nd row밑-레지던시: 콜라보레이션 프로젝트 언더/오프 그라운드
3rd row국립무용단 특별기획공연
4th row창극 만정판
5th row제59회
ValueCountFrequency (%)
공연 194
 
1.9%
국립극장 182
 
1.7%
정기공연 175
 
1.7%
극단 140
 
1.3%
정기연주회 132
 
1.3%
국립극단 131
 
1.3%
국립교향악단 100
 
1.0%
제1회 96
 
0.9%
기념 90
 
0.9%
국립합창단 87
 
0.8%
Other values (3699) 9106
87.3%
2023-12-13T01:17:57.407396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7230
 
14.6%
회 1781
 
3.6%
제 1506
 
3.0%
연 1381
 
2.8%
1 1376
 
2.8%
국 1218
 
2.5%
0 1067
 
2.2%
2 1060
 
2.1%
공 959
 
1.9%
립 935
 
1.9%
Other values (1010) 30974
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32155
65.0%
Space Separator 7230
 
14.6%
Decimal Number 5896
 
11.9%
Lowercase Letter 1754
 
3.5%
Uppercase Letter 942
 
1.9%
Open Punctuation 450
 
0.9%
Close Punctuation 450
 
0.9%
Other Punctuation 419
 
0.8%
Dash Punctuation 96
 
0.2%
Math Symbol 54
 
0.1%
Other values (3) 41
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 1781
 
5.5%
제 1506
 
4.7%
연 1381
 
4.3%
국 1218
 
3.8%
공 959
 
3.0%
립 935
 
2.9%
단 917
 
2.9%
극 871
 
2.7%
기 843
 
2.6%
주 486
 
1.5%
Other values (924) 21258
66.1%
Lowercase Letter
ValueCountFrequency (%)
e 225
12.8%
a 200
11.4%
r 158
9.0%
o 146
 
8.3%
i 139
 
7.9%
t 135
 
7.7%
n 116
 
6.6%
l 105
 
6.0%
s 97
 
5.5%
h 64
 
3.6%
Other values (15) 369
21.0%
Uppercase Letter
ValueCountFrequency (%)
A 86
 
9.1%
T 77
 
8.2%
C 74
 
7.9%
E 73
 
7.7%
O 60
 
6.4%
S 60
 
6.4%
I 57
 
6.1%
R 52
 
5.5%
B 45
 
4.8%
M 45
 
4.8%
Other values (15) 313
33.2%
Decimal Number
ValueCountFrequency (%)
1 1376
23.3%
0 1067
18.1%
2 1060
18.0%
3 499
 
8.5%
9 427
 
7.2%
4 368
 
6.2%
5 344
 
5.8%
6 267
 
4.5%
8 267
 
4.5%
7 221
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 183
43.7%
. 121
28.9%
: 58
 
13.8%
& 17
 
4.1%
· 10
 
2.4%
! 10
 
2.4%
/ 6
 
1.4%
; 6
 
1.4%
' 5
 
1.2%
… 3
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
35.5%
Ⅰ 7
22.6%
Ⅲ 6
19.4%
Ⅳ 3
 
9.7%
Ⅹ 2
 
6.5%
Ⅴ 1
 
3.2%
Ⅶ 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
< 26
48.1%
> 26
48.1%
~ 2
 
3.7%
Space Separator
ValueCountFrequency (%)
7230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30174
61.0%
Common 14605
29.5%
Latin 2727
 
5.5%
Han 1970
 
4.0%
Katakana 6
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 1781
 
5.9%
제 1506
 
5.0%
연 1381
 
4.6%
국 1218
 
4.0%
공 959
 
3.2%
립 935
 
3.1%
단 917
 
3.0%
극 871
 
2.9%
기 843
 
2.8%
주 486
 
1.6%
Other values (616) 19277
63.9%
Han
ValueCountFrequency (%)
回 178
 
9.0%
第 171
 
8.7%
劇 139
 
7.1%
演 131
 
6.6%
公 110
 
5.6%
團 89
 
4.5%
場 53
 
2.7%
大 45
 
2.3%
會 40
 
2.0%
樂 29
 
1.5%
Other values (288) 985
50.0%
Latin
ValueCountFrequency (%)
e 225
 
8.3%
a 200
 
7.3%
r 158
 
5.8%
o 146
 
5.4%
i 139
 
5.1%
t 135
 
5.0%
n 116
 
4.3%
l 105
 
3.9%
s 97
 
3.6%
A 86
 
3.2%
Other values (47) 1320
48.4%
Common
ValueCountFrequency (%)
7230
49.5%
1 1376
 
9.4%
0 1067
 
7.3%
2 1060
 
7.3%
3 499
 
3.4%
( 450
 
3.1%
) 450
 
3.1%
9 427
 
2.9%
4 368
 
2.5%
5 344
 
2.4%
Other values (19) 1334
 
9.1%
Katakana
ValueCountFrequency (%)
ス 1
16.7%
テ 1
16.7%
ジ 1
16.7%
ウ 1
16.7%
ョ 1
16.7%
シ 1
16.7%
Hiragana
ValueCountFrequency (%)
と 2
40.0%
に 1
20.0%
よ 1
20.0%
る 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30173
61.0%
ASCII 17287
34.9%
CJK 1923
 
3.9%
CJK Compat Ideographs 47
 
0.1%
Number Forms 31
 
0.1%
None 10
 
< 0.1%
Katakana 6
 
< 0.1%
Hiragana 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7230
41.8%
1 1376
 
8.0%
0 1067
 
6.2%
2 1060
 
6.1%
3 499
 
2.9%
( 450
 
2.6%
) 450
 
2.6%
9 427
 
2.5%
4 368
 
2.1%
5 344
 
2.0%
Other values (66) 4016
23.2%
Hangul
ValueCountFrequency (%)
회 1781
 
5.9%
제 1506
 
5.0%
연 1381
 
4.6%
국 1218
 
4.0%
공 959
 
3.2%
립 935
 
3.1%
단 917
 
3.0%
극 871
 
2.9%
기 843
 
2.8%
주 486
 
1.6%
Other values (615) 19276
63.9%
CJK
ValueCountFrequency (%)
回 178
 
9.3%
第 171
 
8.9%
劇 139
 
7.2%
演 131
 
6.8%
公 110
 
5.7%
團 89
 
4.6%
場 53
 
2.8%
大 45
 
2.3%
會 40
 
2.1%
立 28
 
1.5%
Other values (283) 939
48.8%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 29
61.7%
女 11
 
23.4%
李 3
 
6.4%
六 3
 
6.4%
羅 1
 
2.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
35.5%
Ⅰ 7
22.6%
Ⅲ 6
19.4%
Ⅳ 3
 
9.7%
Ⅹ 2
 
6.5%
Ⅴ 1
 
3.2%
Ⅶ 1
 
3.2%
None
ValueCountFrequency (%)
· 10
100.0%
Punctuation
ValueCountFrequency (%)
… 3
75.0%
’ 1
 
25.0%
Hiragana
ValueCountFrequency (%)
と 2
40.0%
に 1
20.0%
よ 1
20.0%
る 1
20.0%
Katakana
ValueCountFrequency (%)
ス 1
16.7%
テ 1
16.7%
ジ 1
16.7%
ウ 1
16.7%
ョ 1
16.7%
シ 1
16.7%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

기간시작일
Text

MISSING 

Distinct7105
Distinct (%)77.4%
Missing823
Missing (%)8.2%
Memory size156.2 KiB
2023-12-13T01:17:57.788382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters91770
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

Unique5517 ?
Unique (%)60.1%

Sample

1st row2004-03-20
2nd row2021-07-02
3rd row1999-08-30
4th row2010-10-20
5th row1975-10-20
ValueCountFrequency (%)
2000-01-01 9
 
0.1%
1975-01-01 7
 
0.1%
1974-01-01 7
 
0.1%
2018-01-01 7
 
0.1%
2015-06-19 6
 
0.1%
1999-01-01 6
 
0.1%
2015-10-30 5
 
0.1%
2016-03-30 5
 
0.1%
2011-07-19 5
 
0.1%
2004-10-29 5
 
0.1%
Other values (7095) 9115
99.3%
2023-12-13T01:17:58.302734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18354
20.0%
0 17922
19.5%
1 16552
18.0%
2 10519
11.5%
9 9065
9.9%
8 4000
 
4.4%
7 3693
 
4.0%
6 3389
 
3.7%
5 2908
 
3.2%
3 2859
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73416
80.0%
Dash Punctuation 18354
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17922
24.4%
1 16552
22.5%
2 10519
14.3%
9 9065
12.3%
8 4000
 
5.4%
7 3693
 
5.0%
6 3389
 
4.6%
5 2908
 
4.0%
3 2859
 
3.9%
4 2509
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 18354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18354
20.0%
0 17922
19.5%
1 16552
18.0%
2 10519
11.5%
9 9065
9.9%
8 4000
 
4.4%
7 3693
 
4.0%
6 3389
 
3.7%
5 2908
 
3.2%
3 2859
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18354
20.0%
0 17922
19.5%
1 16552
18.0%
2 10519
11.5%
9 9065
9.9%
8 4000
 
4.4%
7 3693
 
4.0%
6 3389
 
3.7%
5 2908
 
3.2%
3 2859
 
3.1%

기간종료일
Text

MISSING 

Distinct6975
Distinct (%)76.0%
Missing823
Missing (%)8.2%
Memory size156.2 KiB
2023-12-13T01:17:58.665639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters91770
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

Unique5331 ?
Unique (%)58.1%

Sample

1st row2004-03-20
2nd row2021-07-11
3rd row1999-09-19
4th row2010-10-23
5th row1975-10-20
ValueCountFrequency (%)
2010-12-31 10
 
0.1%
2014-12-31 8
 
0.1%
2018-12-31 7
 
0.1%
2015-12-31 7
 
0.1%
2011-05-08 6
 
0.1%
2017-12-31 6
 
0.1%
2019-06-30 6
 
0.1%
2016-06-26 6
 
0.1%
2018-11-25 6
 
0.1%
2000-12-31 6
 
0.1%
Other values (6965) 9109
99.3%
2023-12-13T01:17:59.222826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18354
20.0%
0 17404
19.0%
1 16695
18.2%
2 10814
11.8%
9 9017
9.8%
8 4045
 
4.4%
7 3667
 
4.0%
6 3413
 
3.7%
3 3042
 
3.3%
5 2921
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73416
80.0%
Dash Punctuation 18354
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17404
23.7%
1 16695
22.7%
2 10814
14.7%
9 9017
12.3%
8 4045
 
5.5%
7 3667
 
5.0%
6 3413
 
4.6%
3 3042
 
4.1%
5 2921
 
4.0%
4 2398
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 18354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18354
20.0%
0 17404
19.0%
1 16695
18.2%
2 10814
11.8%
9 9017
9.8%
8 4045
 
4.4%
7 3667
 
4.0%
6 3413
 
3.7%
3 3042
 
3.3%
5 2921
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18354
20.0%
0 17404
19.0%
1 16695
18.2%
2 10814
11.8%
9 9017
9.8%
8 4045
 
4.4%
7 3667
 
4.0%
6 3413
 
3.7%
3 3042
 
3.3%
5 2921
 
3.2%

기간구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9173 
미상
 
827

Length

Max length2
Median length1
Mean length1.0827
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9173
91.7%
미상 827
 
8.3%

Length

2023-12-13T01:17:59.365467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:17:59.463955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9173
91.7%
미상 827
 
8.3%

장소
Text

Distinct1664
Distinct (%)16.7%
Missing17
Missing (%)0.2%
Memory size156.2 KiB
2023-12-13T01:17:59.714630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length83
Mean length10.05299
Min length1

Characters and Unicode

Total characters100359
Distinct characters573
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1294 ?
Unique (%)13.0%

Sample

1st row국립극장 달오름극장
2nd row국립정동극장
3rd row국립중앙극장 대극장, 예술의전당 토월극장·자유소극장, 정동이벤트홀, 포스트극장, 예술자료관(SAC), 한국예술종합학교 무용원
4th row예술의전당 오페라극장
5th row국립극장
ValueCountFrequency (%)
국립극장 5548
28.3%
소극장 1428
 
7.3%
대극장 1209
 
6.2%
달오름극장 748
 
3.8%
미상 629
 
3.2%
해오름극장 616
 
3.1%
예술의전당 579
 
3.0%
kb국민은행청소년하늘극장 435
 
2.2%
중앙국립극장 371
 
1.9%
별오름극장 363
 
1.9%
Other values (1882) 7649
39.1%
2023-12-13T01:18:00.530430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 12333
 
12.3%
극 12077
 
12.0%
9603
 
9.6%
국 7058
 
7.0%
립 6471
 
6.4%
소 2051
 
2.0%
오 1971
 
2.0%
e 1770
 
1.8%
름 1733
 
1.7%
대 1640
 
1.6%
Other values (563) 43652
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73166
72.9%
Lowercase Letter 11524
 
11.5%
Space Separator 9603
 
9.6%
Uppercase Letter 3782
 
3.8%
Other Punctuation 1188
 
1.2%
Close Punctuation 487
 
0.5%
Open Punctuation 487
 
0.5%
Decimal Number 103
 
0.1%
Dash Punctuation 18
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12333
16.9%
극 12077
16.5%
국 7058
 
9.6%
립 6471
 
8.8%
소 2051
 
2.8%
오 1971
 
2.7%
름 1733
 
2.4%
대 1640
 
2.2%
예 1121
 
1.5%
술 1025
 
1.4%
Other values (489) 25686
35.1%
Lowercase Letter
ValueCountFrequency (%)
e 1770
15.4%
a 1547
13.4%
r 1097
9.5%
n 829
 
7.2%
o 805
 
7.0%
t 770
 
6.7%
i 723
 
6.3%
l 698
 
6.1%
s 642
 
5.6%
h 394
 
3.4%
Other values (16) 2249
19.5%
Uppercase Letter
ValueCountFrequency (%)
B 675
17.8%
K 611
16.2%
T 317
 
8.4%
S 256
 
6.8%
O 202
 
5.3%
C 171
 
4.5%
M 151
 
4.0%
G 139
 
3.7%
F 129
 
3.4%
I 126
 
3.3%
Other values (16) 1005
26.6%
Decimal Number
ValueCountFrequency (%)
1 48
46.6%
2 16
 
15.5%
8 9
 
8.7%
3 8
 
7.8%
7 5
 
4.9%
4 5
 
4.9%
5 4
 
3.9%
9 3
 
2.9%
6 3
 
2.9%
0 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 1039
87.5%
. 116
 
9.8%
& 12
 
1.0%
; 12
 
1.0%
' 5
 
0.4%
· 2
 
0.2%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
9603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 487
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71640
71.4%
Latin 15307
 
15.3%
Common 11886
 
11.8%
Han 1520
 
1.5%
Katakana 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12333
17.2%
극 12077
16.9%
국 7058
 
9.9%
립 6471
 
9.0%
소 2051
 
2.9%
오 1971
 
2.8%
름 1733
 
2.4%
대 1640
 
2.3%
예 1121
 
1.6%
술 1025
 
1.4%
Other values (462) 24160
33.7%
Latin
ValueCountFrequency (%)
e 1770
 
11.6%
a 1547
 
10.1%
r 1097
 
7.2%
n 829
 
5.4%
o 805
 
5.3%
t 770
 
5.0%
i 723
 
4.7%
l 698
 
4.6%
B 675
 
4.4%
s 642
 
4.2%
Other values (43) 5751
37.6%
Common
ValueCountFrequency (%)
9603
80.8%
, 1039
 
8.7%
) 487
 
4.1%
( 487
 
4.1%
. 116
 
1.0%
1 48
 
0.4%
- 18
 
0.2%
2 16
 
0.1%
& 12
 
0.1%
; 12
 
0.1%
Other values (11) 48
 
0.4%
Han
ValueCountFrequency (%)
劇 382
25.1%
場 382
25.1%
國 335
22.0%
立 334
22.0%
小 42
 
2.8%
中 11
 
0.7%
央 10
 
0.7%
大 5
 
0.3%
術 4
 
0.3%
藝 4
 
0.3%
Other values (11) 11
 
0.7%
Katakana
ValueCountFrequency (%)
ル 1
16.7%
ム 1
16.7%
ン 1
16.7%
デ 1
16.7%
ガ 1
16.7%
ザ 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71640
71.4%
ASCII 27190
 
27.1%
CJK 1520
 
1.5%
Katakana 6
 
< 0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 12333
17.2%
극 12077
16.9%
국 7058
 
9.9%
립 6471
 
9.0%
소 2051
 
2.9%
오 1971
 
2.8%
름 1733
 
2.4%
대 1640
 
2.3%
예 1121
 
1.6%
술 1025
 
1.4%
Other values (462) 24160
33.7%
ASCII
ValueCountFrequency (%)
9603
35.3%
e 1770
 
6.5%
a 1547
 
5.7%
r 1097
 
4.0%
, 1039
 
3.8%
n 829
 
3.0%
o 805
 
3.0%
t 770
 
2.8%
i 723
 
2.7%
l 698
 
2.6%
Other values (62) 8309
30.6%
CJK
ValueCountFrequency (%)
劇 382
25.1%
場 382
25.1%
國 335
22.0%
立 334
22.0%
小 42
 
2.8%
中 11
 
0.7%
央 10
 
0.7%
大 5
 
0.3%
術 4
 
0.3%
藝 4
 
0.3%
Other values (11) 11
 
0.7%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Katakana
ValueCountFrequency (%)
ル 1
16.7%
ム 1
16.7%
ン 1
16.7%
デ 1
16.7%
ガ 1
16.7%
ザ 1
16.7%

수행주체
Text

Distinct5268
Distinct (%)52.7%
Missing13
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T01:18:00.791037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length9.9983979
Min length1

Characters and Unicode

Total characters99854
Distinct characters1156
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4526 ?
Unique (%)45.3%

Sample

1st row김명숙 늘휘무용단
2nd row김사월, 슬릭, 오지은 외
3rd row국제무용협회 한국본부
4th row국립오페라단 외
5th row문화공보부
ValueCountFrequency (%)
외 2106
 
10.4%
극단 474
 
2.3%
국립극장 446
 
2.2%
국립합창단 436
 
2.1%
국립극단 343
 
1.7%
국립무용단 322
 
1.6%
국립창극단 320
 
1.6%
국립국악관현악단 311
 
1.5%
미상 286
 
1.4%
국립오페라단 274
 
1.3%
Other values (7702) 15010
73.8%
2023-12-13T01:18:01.240633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10374
 
10.4%
단 4353
 
4.4%
국 4344
 
4.4%
립 3318
 
3.3%
, 2968
 
3.0%
극 2155
 
2.2%
외 2119
 
2.1%
a 2044
 
2.0%
e 2019
 
2.0%
악 1850
 
1.9%
Other values (1146) 64310
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64427
64.5%
Lowercase Letter 16170
 
16.2%
Space Separator 10374
 
10.4%
Uppercase Letter 4163
 
4.2%
Other Punctuation 3114
 
3.1%
Close Punctuation 668
 
0.7%
Open Punctuation 665
 
0.7%
Decimal Number 189
 
0.2%
Dash Punctuation 55
 
0.1%
Other Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 4353
 
6.8%
국 4344
 
6.7%
립 3318
 
5.2%
극 2155
 
3.3%
외 2119
 
3.3%
악 1850
 
2.9%
창 1122
 
1.7%
교 1096
 
1.7%
학 976
 
1.5%
김 976
 
1.5%
Other values (1066) 42118
65.4%
Lowercase Letter
ValueCountFrequency (%)
a 2044
12.6%
e 2019
12.5%
r 1425
8.8%
i 1351
8.4%
n 1322
 
8.2%
o 1253
 
7.7%
l 1160
 
7.2%
t 860
 
5.3%
s 777
 
4.8%
h 591
 
3.7%
Other values (16) 3368
20.8%
Uppercase Letter
ValueCountFrequency (%)
B 355
 
8.5%
S 343
 
8.2%
A 296
 
7.1%
M 284
 
6.8%
C 250
 
6.0%
T 234
 
5.6%
K 231
 
5.5%
R 227
 
5.5%
D 186
 
4.5%
P 178
 
4.3%
Other values (16) 1579
37.9%
Decimal Number
ValueCountFrequency (%)
1 45
23.8%
2 36
19.0%
0 31
16.4%
3 18
 
9.5%
6 14
 
7.4%
9 12
 
6.3%
8 11
 
5.8%
5 10
 
5.3%
4 7
 
3.7%
7 5
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 2968
95.3%
. 75
 
2.4%
& 33
 
1.1%
; 13
 
0.4%
· 10
 
0.3%
' 9
 
0.3%
/ 4
 
0.1%
: 1
 
< 0.1%
＆ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 665
99.6%
] 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 662
99.5%
[ 3
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Space Separator
ValueCountFrequency (%)
10374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62377
62.5%
Latin 20333
 
20.4%
Common 15071
 
15.1%
Han 2073
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 4353
 
7.0%
국 4344
 
7.0%
립 3318
 
5.3%
극 2155
 
3.5%
외 2119
 
3.4%
악 1850
 
3.0%
창 1122
 
1.8%
교 1096
 
1.8%
학 976
 
1.6%
김 976
 
1.6%
Other values (682) 40068
64.2%
Han
ValueCountFrequency (%)
劇 148
 
7.1%
團 144
 
6.9%
樂 83
 
4.0%
金 63
 
3.0%
場 59
 
2.8%
會 51
 
2.5%
李 42
 
2.0%
學 38
 
1.8%
響 35
 
1.7%
大 35
 
1.7%
Other values (375) 1375
66.3%
Latin
ValueCountFrequency (%)
a 2044
 
10.1%
e 2019
 
9.9%
r 1425
 
7.0%
i 1351
 
6.6%
n 1322
 
6.5%
o 1253
 
6.2%
l 1160
 
5.7%
t 860
 
4.2%
s 777
 
3.8%
h 591
 
2.9%
Other values (42) 7531
37.0%
Common
ValueCountFrequency (%)
10374
68.8%
, 2968
 
19.7%
) 665
 
4.4%
( 662
 
4.4%
. 75
 
0.5%
- 55
 
0.4%
1 45
 
0.3%
2 36
 
0.2%
& 33
 
0.2%
0 31
 
0.2%
Other values (17) 127
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62352
62.4%
ASCII 35393
35.4%
CJK 1979
 
2.0%
CJK Compat Ideographs 94
 
0.1%
None 34
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10374
29.3%
, 2968
 
8.4%
a 2044
 
5.8%
e 2019
 
5.7%
r 1425
 
4.0%
i 1351
 
3.8%
n 1322
 
3.7%
o 1253
 
3.5%
l 1160
 
3.3%
t 860
 
2.4%
Other values (67) 10617
30.0%
Hangul
ValueCountFrequency (%)
단 4353
 
7.0%
국 4344
 
7.0%
립 3318
 
5.3%
극 2155
 
3.5%
외 2119
 
3.4%
악 1850
 
3.0%
창 1122
 
1.8%
교 1096
 
1.8%
학 976
 
1.6%
김 976
 
1.6%
Other values (679) 40043
64.2%
CJK
ValueCountFrequency (%)
劇 148
 
7.5%
團 144
 
7.3%
樂 83
 
4.2%
金 63
 
3.2%
場 59
 
3.0%
會 51
 
2.6%
學 38
 
1.9%
響 35
 
1.8%
大 35
 
1.8%
交 34
 
1.7%
Other values (351) 1289
65.1%
CJK Compat Ideographs
ValueCountFrequency (%)
李 42
44.7%
女 12
 
12.8%
林 7
 
7.4%
烈 6
 
6.4%
梁 3
 
3.2%
盧 3
 
3.2%
聯 2
 
2.1%
金 2
 
2.1%
龍 2
 
2.1%
玲 1
 
1.1%
Other values (14) 14
 
14.9%
None
ValueCountFrequency (%)
㈜ 23
67.6%
· 10
29.4%
＆ 1
 
2.9%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
50.0%
ㄱ 1
50.0%

Missing values

2023-12-13T01:17:53.668142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:17:53.827518image/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.
2023-12-13T01:17:53.970428image/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

폴더번호폴더유형제목부제목기간시작일기간종료일기간구분장소수행주체
2214Dn20040008창작무용空間(공간)-그 무한의 가능성Ⅱ<NA>2004-03-202004-03-200국립극장 달오름극장김명숙 늘휘무용단
14023Sh20210006종합공연2021 정동의 여름아주 사적인 축제2021-07-022021-07-110국립정동극장김사월, 슬릭, 오지은 외
12509Dn19990025현대무용1999 세계무용축제(SIDance)<NA>1999-08-301999-09-190국립중앙극장 대극장, 예술의전당 토월극장·자유소극장, 정동이벤트홀, 포스트극장, 예술자료관(SAC), 한국예술종합학교 무용원국제무용협회 한국본부
11678Ms20100154오페라2010 메피스토펠레<NA>2010-10-202010-10-230예술의전당 오페라극장국립오페라단 외
428Ev19750003외부1975 전국문화예술인대회(全國文化藝術人大會)<NA>1975-10-201975-10-200국립극장문화공보부
9534Dn20150050현대무용2015 19금90밑-레지던시: 콜라보레이션 프로젝트 언더/오프 그라운드2015-09-182015-09-200대학로예술극장 대극장국립현대무용단
1588Dn20020023한국무용지역 춤 초청전 (충청편)국립무용단 특별기획공연2002-07-172002-07-190국립극장 별오름극장국립무용단
8734Ms19700053음악바로크 合奏團 (바로크 합주단)<NA>1970-10-051970-10-050國立劇場 (국립극장)전봉초
5936Ms19680064음악박경희 풀륫 獨奏會 (박경희 플룻 독주회)<NA>1968-11-161968-11-160국립극장박경희
10453Ms20020044창극2002 춘향전창극 만정판2002-09-102002-09-100부산 금정 문화회관국립창극단
폴더번호폴더유형제목부제목기간시작일기간종료일기간구분장소수행주체
14488Dn19860031창작무용1986 도미부인_8월<NA>1986-08-151986-08-170국립극장 대극장국립무용단
9427Sh20090019종합공연2009 서울아트마켓(PAMS)<NA>2009-10-122009-10-160국립극장, 남산예술센터 외극단 골목길, 댄스시어터 온, 바람곶 외
6284Ms19920001오페라Gershwin: Porgy And Bess(거쉰: 포기와 베스)<NA><NA><NA>미상미상Simon Rattle, Willard White 외
9998Ms19740086뮤지컬1974 대춘향전(大春香傳)<NA>1974-06-281974-06-290광주아세아극장국립가무단
6108Ms19870081오페라성신여자대학교 예술대학 성악과 OPERA 하이라이트의 밤 (Figaro의 결혼)<NA>1987-09-101987-09-100중앙국립극장 소극장성신여자대학교 예술대학 성악과
7714Ms20090129다큐Jansons: Music is the Language of the heart and soul(얀손스: 음악은 마음과 영혼의 언어)<NA>2009-12-032009-12-030The Concertgebouw, AmsterdamMariss Jansons
11743Ed20180002어린이2018 국립극장 겨울방학 어린이 예술학교뚝딱뚝딱 조물조물 연극 만들기2018-01-032018-01-060국립극장 별오름극장국립극장 예술교육팀, 인쏠트
9993Ms20100094오페라2010 어린이와 마법<NA>2010-07-102010-07-180예술의전당 토월극장국립오페라단 외
6234Ev20100005외부제3회 아랍문화축전<NA>2010-05-202010-05-230국립극장 KB국민은행청소년하늘극장, 문화광장한국-아랍 소사이어티
10630Ms19980024합창1998 가을맞이 가정음악회<NA>1998-09-041998-09-050국립중앙극장 대극장국립합창단 외