Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells100936
Missing cells (%)34.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory247.0 B

Variable types

Categorical8
Text12
Unsupported4
DateTime2
Numeric3

Dataset

Description2007~2018 공연예술 편람 정보(공연명, 행사명, 세부장르, 단체, 시작일, 종료일 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076552/fileData.do

Alerts

대분류 is highly imbalanced (94.2%)Imbalance
창작초연/재공연 is highly imbalanced (80.2%)Imbalance
실내/실외 is highly imbalanced (77.1%)Imbalance
공연명2 has 7484 (74.8%) missing valuesMissing
행사명 has 9275 (92.8%) missing valuesMissing
세부장르 has 10000 (100.0%) missing valuesMissing
단체 has 2891 (28.9%) missing valuesMissing
단체국적 has 10000 (100.0%) missing valuesMissing
참여작가수 has 6881 (68.8%) missing valuesMissing
주최 has 2047 (20.5%) missing valuesMissing
공연장 has 1168 (11.7%) missing valuesMissing
공연장_세부 has 3943 (39.4%) missing valuesMissing
미등록공연장 has 9077 (90.8%) missing valuesMissing
미등록공연장_세부 has 9526 (95.3%) missing valuesMissing
공연시설 외 has 9592 (95.9%) missing valuesMissing
비고 has 9052 (90.5%) missing valuesMissing
프로그램 has 10000 (100.0%) missing valuesMissing
세부장르 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단체국적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
참여작가수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
프로그램 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 15:59:58.056580
Analysis finished2024-04-17 16:00:01.033518
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018
4208 
2017
3625 
2016
2167 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2017
3rd row2018
4th row2016
5th row2017

Common Values

ValueCountFrequency (%)
2018 4208
42.1%
2017 3625
36.2%
2016 2167
21.7%

Length

2024-04-18T01:00:01.081447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:01.157524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 4208
42.1%
2017 3625
36.2%
2016 2167
21.7%

대분류
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공연예술
9867 
공연예술 융합(+시각예술)
 
86
공연예술 융합(+문학)
 
45
공연예술 융합(+공연예술,문학)
 
2

Length

Max length17
Median length4
Mean length4.1246
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연예술 9867
98.7%
공연예술 융합(+시각예술) 86
 
0.9%
공연예술 융합(+문학) 45
 
0.4%
공연예술 융합(+공연예술,문학) 2
 
< 0.1%

Length

2024-04-18T01:00:01.258741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:01.340853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연예술 10000
98.7%
융합(+시각예술 86
 
0.8%
융합(+문학 45
 
0.4%
융합(+공연예술,문학 2
 
< 0.1%

중분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
양악
4697 
연극
3950 
무용
738 
국악
615 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연극
2nd row양악
3rd row양악
4th row무용
5th row양악

Common Values

ValueCountFrequency (%)
양악 4697
47.0%
연극 3950
39.5%
무용 738
 
7.4%
국악 615
 
6.2%

Length

2024-04-18T01:00:01.418559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:01.491040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양악 4697
47.0%
연극 3950
39.5%
무용 738
 
7.4%
국악 615
 
6.2%

소분류
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기악
4118 
뮤지컬
1650 
연극
1603 
기타
798 
성악
492 
Other values (6)
1339 

Length

Max length4
Median length2
Mean length2.2871
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기악
3rd row합창
4th row기타
5th row기악

Common Values

ValueCountFrequency (%)
기악 4118
41.2%
뮤지컬 1650
16.5%
연극 1603
 
16.0%
기타 798
 
8.0%
성악 492
 
4.9%
합창 382
 
3.8%
한국무용 261
 
2.6%
현대무용 251
 
2.5%
오페라 197
 
2.0%
발레 147
 
1.5%

Length

2024-04-18T01:00:01.580680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기악 4118
41.2%
뮤지컬 1650
16.5%
연극 1603
 
16.0%
기타 798
 
8.0%
성악 492
 
4.9%
합창 382
 
3.8%
한국무용 261
 
2.6%
현대무용 251
 
2.5%
오페라 197
 
2.0%
발레 147
 
1.5%
Distinct9289
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T01:00:01.809014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length51
Mean length15.1191
Min length1

Characters and Unicode

Total characters151191
Distinct characters1376
Distinct categories19 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8846 ?
Unique (%)88.5%

Sample

1st row씩씩이 아저씨의 웃음폭발매직쇼
2nd row황문희 피아노 독주회
3rd row난파합창단 제80회 정기연주회
4th row판타지 가족서커스 날다
5th row2017 화음 프로젝트 페스티벌 in 부산
ValueCountFrequency (%)
정기연주회 733
 
2.2%
674
 
2.0%
독주회 590
 
1.8%
피아노 440
 
1.3%
뮤지컬 414
 
1.3%
콘서트 345
 
1.0%
2018 291
 
0.9%
리사이틀 205
 
0.6%
앙상블 196
 
0.6%
연극 195
 
0.6%
Other values (13707) 28995
87.7%
2024-04-18T01:00:02.198069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24275
 
16.1%
3422
 
2.3%
2396
 
1.6%
2388
 
1.6%
2243
 
1.5%
1852
 
1.2%
1827
 
1.2%
1823
 
1.2%
1781
 
1.2%
1654
 
1.1%
Other values (1366) 107530
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103359
68.4%
Space Separator 24275
 
16.1%
Lowercase Letter 7832
 
5.2%
Decimal Number 5336
 
3.5%
Uppercase Letter 4876
 
3.2%
Other Punctuation 1800
 
1.2%
Math Symbol 1259
 
0.8%
Dash Punctuation 739
 
0.5%
Close Punctuation 551
 
0.4%
Open Punctuation 550
 
0.4%
Other values (9) 614
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3422
 
3.3%
2396
 
2.3%
2388
 
2.3%
2243
 
2.2%
1852
 
1.8%
1827
 
1.8%
1823
 
1.8%
1781
 
1.7%
1654
 
1.6%
1535
 
1.5%
Other values (1229) 82438
79.8%
Lowercase Letter
ValueCountFrequency (%)
e 973
12.4%
o 746
9.5%
n 735
9.4%
i 719
9.2%
a 707
9.0%
t 610
 
7.8%
r 548
 
7.0%
s 455
 
5.8%
l 352
 
4.5%
c 300
 
3.8%
Other values (20) 1687
21.5%
Uppercase Letter
ValueCountFrequency (%)
S 460
 
9.4%
C 397
 
8.1%
E 373
 
7.6%
A 356
 
7.3%
T 323
 
6.6%
I 318
 
6.5%
O 301
 
6.2%
N 257
 
5.3%
M 224
 
4.6%
P 217
 
4.5%
Other values (18) 1650
33.8%
Other Punctuation
ValueCountFrequency (%)
' 542
30.1%
" 384
21.3%
& 229
12.7%
! 183
 
10.2%
. 179
 
9.9%
: 140
 
7.8%
36
 
2.0%
/ 31
 
1.7%
· 16
 
0.9%
13
 
0.7%
Other values (8) 47
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 1293
24.2%
2 1140
21.4%
0 863
16.2%
8 489
 
9.2%
7 374
 
7.0%
3 333
 
6.2%
6 269
 
5.0%
4 239
 
4.5%
5 214
 
4.0%
9 122
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 271
49.2%
111
20.1%
] 108
 
19.6%
26
 
4.7%
16
 
2.9%
12
 
2.2%
3
 
0.5%
2
 
0.4%
1
 
0.2%
} 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 268
48.7%
112
20.4%
[ 108
19.6%
26
 
4.7%
16
 
2.9%
12
 
2.2%
3
 
0.5%
3
 
0.5%
1
 
0.2%
{ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
27
33.8%
15
18.8%
12
15.0%
6
 
7.5%
6
 
7.5%
5
 
6.2%
4
 
5.0%
2
 
2.5%
2
 
2.5%
1
 
1.2%
Math Symbol
ValueCountFrequency (%)
> 589
46.8%
< 586
46.5%
26
 
2.1%
26
 
2.1%
~ 16
 
1.3%
+ 15
 
1.2%
= 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 738
99.9%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
134
64.4%
74
35.6%
Initial Punctuation
ValueCountFrequency (%)
103
58.2%
74
41.8%
Modifier Symbol
ValueCountFrequency (%)
` 35
63.6%
˝ 20
36.4%
Space Separator
ValueCountFrequency (%)
24275
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 73
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 4
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103084
68.2%
Common 35044
 
23.2%
Latin 12780
 
8.5%
Han 274
 
0.2%
Cyrillic 8
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3422
 
3.3%
2396
 
2.3%
2388
 
2.3%
2243
 
2.2%
1852
 
1.8%
1827
 
1.8%
1823
 
1.8%
1781
 
1.7%
1654
 
1.6%
1535
 
1.5%
Other values (1072) 82163
79.7%
Han
ValueCountFrequency (%)
15
 
5.5%
10
 
3.6%
7
 
2.6%
7
 
2.6%
5
 
1.8%
5
 
1.8%
5
 
1.8%
5
 
1.8%
4
 
1.5%
4
 
1.5%
Other values (146) 207
75.5%
Common
ValueCountFrequency (%)
24275
69.3%
1 1293
 
3.7%
2 1140
 
3.3%
0 863
 
2.5%
- 738
 
2.1%
> 589
 
1.7%
< 586
 
1.7%
' 542
 
1.5%
8 489
 
1.4%
" 384
 
1.1%
Other values (59) 4145
 
11.8%
Latin
ValueCountFrequency (%)
e 973
 
7.6%
o 746
 
5.8%
n 735
 
5.8%
i 719
 
5.6%
a 707
 
5.5%
t 610
 
4.8%
r 548
 
4.3%
S 460
 
3.6%
s 455
 
3.6%
C 397
 
3.1%
Other values (52) 6430
50.3%
Cyrillic
ValueCountFrequency (%)
я 3
37.5%
Д 1
 
12.5%
д 1
 
12.5%
В 1
 
12.5%
а 1
 
12.5%
н 1
 
12.5%
Hiragana
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103070
68.2%
ASCII 46840
31.0%
None 484
 
0.3%
Punctuation 396
 
0.3%
CJK 255
 
0.2%
Number Forms 80
 
0.1%
Modifier Letters 24
 
< 0.1%
CJK Compat Ideographs 19
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Cyrillic 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24275
51.8%
1 1293
 
2.8%
2 1140
 
2.4%
e 973
 
2.1%
0 863
 
1.8%
o 746
 
1.6%
- 738
 
1.6%
n 735
 
1.6%
i 719
 
1.5%
a 707
 
1.5%
Other values (78) 14651
31.3%
Hangul
ValueCountFrequency (%)
3422
 
3.3%
2396
 
2.3%
2388
 
2.3%
2243
 
2.2%
1852
 
1.8%
1827
 
1.8%
1823
 
1.8%
1781
 
1.7%
1654
 
1.6%
1535
 
1.5%
Other values (1066) 82149
79.7%
Punctuation
ValueCountFrequency (%)
134
33.8%
103
26.0%
74
18.7%
74
18.7%
9
 
2.3%
2
 
0.5%
None
ValueCountFrequency (%)
112
23.1%
111
22.9%
36
 
7.4%
26
 
5.4%
26
 
5.4%
26
 
5.4%
26
 
5.4%
· 16
 
3.3%
16
 
3.3%
16
 
3.3%
Other values (15) 73
15.1%
Number Forms
ValueCountFrequency (%)
27
33.8%
15
18.8%
12
15.0%
6
 
7.5%
6
 
7.5%
5
 
6.2%
4
 
5.0%
2
 
2.5%
2
 
2.5%
1
 
1.2%
Modifier Letters
ValueCountFrequency (%)
˝ 20
83.3%
ː 4
 
16.7%
CJK
ValueCountFrequency (%)
15
 
5.9%
7
 
2.7%
7
 
2.7%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
3
 
1.2%
Other values (138) 195
76.5%
CJK Compat Ideographs
ValueCountFrequency (%)
10
52.6%
2
 
10.5%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Compat Jamo
ValueCountFrequency (%)
4
28.6%
3
21.4%
2
14.3%
2
14.3%
2
14.3%
1
 
7.1%
Cyrillic
ValueCountFrequency (%)
я 3
37.5%
Д 1
 
12.5%
д 1
 
12.5%
В 1
 
12.5%
а 1
 
12.5%
н 1
 
12.5%
Hiragana
ValueCountFrequency (%)
1
100.0%

공연명2
Text

MISSING 

Distinct1830
Distinct (%)72.7%
Missing7484
Missing (%)74.8%
Memory size156.2 KiB
2024-04-18T01:00:02.433628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length40
Mean length15.110493
Min length1

Characters and Unicode

Total characters38018
Distinct characters851
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1484 ?
Unique (%)59.0%

Sample

1st row4월 문화가 있는 날 공연
2nd row문화가 있는 날 플러스
3rd row문화가 있는 날
4th rowSIDance 2017
5th row2018 제37회 대구음악제 - 대구 노래로 통하다
ValueCountFrequency (%)
2018 217
 
2.7%
2017 188
 
2.4%
2016 173
 
2.2%
있는 116
 
1.5%
문화가 95
 
1.2%
91
 
1.1%
정기연주회 82
 
1.0%
페스티벌 81
 
1.0%
78
 
1.0%
시리즈 52
 
0.7%
Other values (3244) 6770
85.2%
2024-04-18T01:00:02.803349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5636
 
14.8%
1025
 
2.7%
1 963
 
2.5%
2 867
 
2.3%
795
 
2.1%
0 788
 
2.1%
746
 
2.0%
460
 
1.2%
396
 
1.0%
390
 
1.0%
Other values (841) 25952
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23982
63.1%
Space Separator 5636
 
14.8%
Decimal Number 3939
 
10.4%
Lowercase Letter 2148
 
5.6%
Uppercase Letter 1616
 
4.3%
Other Punctuation 255
 
0.7%
Dash Punctuation 106
 
0.3%
Math Symbol 85
 
0.2%
Open Punctuation 79
 
0.2%
Close Punctuation 77
 
0.2%
Other values (5) 95
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1025
 
4.3%
795
 
3.3%
746
 
3.1%
460
 
1.9%
396
 
1.7%
390
 
1.6%
382
 
1.6%
351
 
1.5%
343
 
1.4%
335
 
1.4%
Other values (726) 18759
78.2%
Uppercase Letter
ValueCountFrequency (%)
S 213
13.2%
A 176
10.9%
C 166
 
10.3%
E 126
 
7.8%
I 107
 
6.6%
N 92
 
5.7%
M 84
 
5.2%
O 83
 
5.1%
R 77
 
4.8%
D 66
 
4.1%
Other values (16) 426
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 295
13.7%
n 241
11.2%
a 198
9.2%
o 191
8.9%
i 185
8.6%
t 163
7.6%
r 159
 
7.4%
s 128
 
6.0%
l 99
 
4.6%
c 90
 
4.2%
Other values (15) 399
18.6%
Other Punctuation
ValueCountFrequency (%)
. 59
23.1%
' 42
16.5%
! 38
14.9%
& 28
11.0%
: 24
9.4%
" 21
 
8.2%
/ 7
 
2.7%
6
 
2.4%
6
 
2.4%
· 4
 
1.6%
Other values (9) 20
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 963
24.4%
2 867
22.0%
0 788
20.0%
8 333
 
8.5%
7 306
 
7.8%
6 238
 
6.0%
3 168
 
4.3%
4 114
 
2.9%
5 108
 
2.7%
9 54
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 36
46.8%
] 22
28.6%
8
 
10.4%
6
 
7.8%
3
 
3.9%
1
 
1.3%
1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 36
45.6%
[ 22
27.8%
8
 
10.1%
6
 
7.6%
5
 
6.3%
1
 
1.3%
1
 
1.3%
Math Symbol
ValueCountFrequency (%)
> 36
42.4%
< 33
38.8%
5
 
5.9%
5
 
5.9%
~ 3
 
3.5%
+ 2
 
2.4%
= 1
 
1.2%
Letter Number
ValueCountFrequency (%)
13
52.0%
4
 
16.0%
3
 
12.0%
2
 
8.0%
2
 
8.0%
1
 
4.0%
Initial Punctuation
ValueCountFrequency (%)
10
55.6%
8
44.4%
Final Punctuation
ValueCountFrequency (%)
10
52.6%
9
47.4%
Space Separator
ValueCountFrequency (%)
5636
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23914
62.9%
Common 10247
27.0%
Latin 3789
 
10.0%
Han 68
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1025
 
4.3%
795
 
3.3%
746
 
3.1%
460
 
1.9%
396
 
1.7%
390
 
1.6%
382
 
1.6%
351
 
1.5%
343
 
1.4%
335
 
1.4%
Other values (690) 18691
78.2%
Common
ValueCountFrequency (%)
5636
55.0%
1 963
 
9.4%
2 867
 
8.5%
0 788
 
7.7%
8 333
 
3.2%
7 306
 
3.0%
6 238
 
2.3%
3 168
 
1.6%
4 114
 
1.1%
5 108
 
1.1%
Other values (48) 726
 
7.1%
Latin
ValueCountFrequency (%)
e 295
 
7.8%
n 241
 
6.4%
S 213
 
5.6%
a 198
 
5.2%
o 191
 
5.0%
i 185
 
4.9%
A 176
 
4.6%
C 166
 
4.4%
t 163
 
4.3%
r 159
 
4.2%
Other values (47) 1802
47.6%
Han
ValueCountFrequency (%)
10
 
14.7%
4
 
5.9%
4
 
5.9%
4
 
5.9%
3
 
4.4%
3
 
4.4%
3
 
4.4%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (26) 31
45.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23913
62.9%
ASCII 13898
36.6%
CJK 66
 
0.2%
None 66
 
0.2%
Punctuation 47
 
0.1%
Number Forms 25
 
0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5636
40.6%
1 963
 
6.9%
2 867
 
6.2%
0 788
 
5.7%
8 333
 
2.4%
7 306
 
2.2%
e 295
 
2.1%
n 241
 
1.7%
6 238
 
1.7%
S 213
 
1.5%
Other values (75) 4018
28.9%
Hangul
ValueCountFrequency (%)
1025
 
4.3%
795
 
3.3%
746
 
3.1%
460
 
1.9%
396
 
1.7%
390
 
1.6%
382
 
1.6%
351
 
1.5%
343
 
1.4%
335
 
1.4%
Other values (689) 18690
78.2%
Number Forms
ValueCountFrequency (%)
13
52.0%
4
 
16.0%
3
 
12.0%
2
 
8.0%
2
 
8.0%
1
 
4.0%
CJK
ValueCountFrequency (%)
10
 
15.2%
4
 
6.1%
4
 
6.1%
4
 
6.1%
3
 
4.5%
3
 
4.5%
3
 
4.5%
2
 
3.0%
2
 
3.0%
2
 
3.0%
Other values (25) 29
43.9%
Punctuation
ValueCountFrequency (%)
10
21.3%
10
21.3%
9
19.1%
8
17.0%
6
12.8%
4
 
8.5%
None
ValueCountFrequency (%)
8
12.1%
8
12.1%
6
9.1%
6
9.1%
6
9.1%
5
7.6%
5
7.6%
5
7.6%
· 4
 
6.1%
3
 
4.5%
Other values (8) 10
15.2%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

행사명
Text

MISSING 

Distinct392
Distinct (%)54.1%
Missing9275
Missing (%)92.8%
Memory size156.2 KiB
2024-04-18T01:00:02.978473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length15.055172
Min length2

Characters and Unicode

Total characters10915
Distinct characters434
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)31.0%

Sample

1st row2018 제 37회 대구음악제 - 대구 노래로 통하다
2nd row대한민국 연극제 서울대회
3rd rowG-1년올림픽페스티벌
4th row제33회 대구연극제
5th row2016 대한민국 소극장 열전
ValueCountFrequency (%)
2018 140
 
6.9%
2016 69
 
3.4%
2017 60
 
3.0%
페스티벌 59
 
2.9%
제30회 23
 
1.1%
21
 
1.0%
제3회 20
 
1.0%
축제 20
 
1.0%
festival 20
 
1.0%
제2회 19
 
0.9%
Other values (654) 1572
77.7%
2024-04-18T01:00:03.281245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1340
 
12.3%
829
 
7.6%
1 472
 
4.3%
2 463
 
4.2%
0 413
 
3.8%
300
 
2.7%
240
 
2.2%
231
 
2.1%
8 198
 
1.8%
188
 
1.7%
Other values (424) 6241
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6562
60.1%
Decimal Number 1983
 
18.2%
Space Separator 1340
 
12.3%
Uppercase Letter 492
 
4.5%
Lowercase Letter 421
 
3.9%
Other Punctuation 35
 
0.3%
Dash Punctuation 33
 
0.3%
Open Punctuation 18
 
0.2%
Close Punctuation 15
 
0.1%
Math Symbol 6
 
0.1%
Other values (2) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
829
 
12.6%
300
 
4.6%
240
 
3.7%
231
 
3.5%
188
 
2.9%
188
 
2.9%
174
 
2.7%
167
 
2.5%
154
 
2.3%
148
 
2.3%
Other values (346) 3943
60.1%
Uppercase Letter
ValueCountFrequency (%)
A 82
16.7%
S 51
10.4%
F 49
10.0%
D 43
8.7%
M 37
 
7.5%
I 31
 
6.3%
E 28
 
5.7%
C 27
 
5.5%
O 26
 
5.3%
P 21
 
4.3%
Other values (14) 97
19.7%
Lowercase Letter
ValueCountFrequency (%)
e 70
16.6%
n 56
13.3%
a 43
10.2%
i 36
8.6%
s 34
8.1%
t 30
7.1%
o 29
6.9%
r 28
 
6.7%
l 24
 
5.7%
c 23
 
5.5%
Other values (9) 48
11.4%
Decimal Number
ValueCountFrequency (%)
1 472
23.8%
2 463
23.3%
0 413
20.8%
8 198
10.0%
7 141
 
7.1%
6 106
 
5.3%
3 95
 
4.8%
4 42
 
2.1%
5 36
 
1.8%
9 17
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 8
22.9%
" 6
17.1%
6
17.1%
& 6
17.1%
3
 
8.6%
! 3
 
8.6%
: 2
 
5.7%
1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 10
66.7%
3
 
20.0%
1
 
6.7%
1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 10
55.6%
6
33.3%
1
 
5.6%
1
 
5.6%
Math Symbol
ValueCountFrequency (%)
> 4
66.7%
+ 1
 
16.7%
< 1
 
16.7%
Final Punctuation
ValueCountFrequency (%)
3
60.0%
2
40.0%
Initial Punctuation
ValueCountFrequency (%)
3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
1340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6547
60.0%
Common 3440
31.5%
Latin 913
 
8.4%
Han 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
829
 
12.7%
300
 
4.6%
240
 
3.7%
231
 
3.5%
188
 
2.9%
188
 
2.9%
174
 
2.7%
167
 
2.6%
154
 
2.4%
148
 
2.3%
Other values (341) 3928
60.0%
Latin
ValueCountFrequency (%)
A 82
 
9.0%
e 70
 
7.7%
n 56
 
6.1%
S 51
 
5.6%
F 49
 
5.4%
D 43
 
4.7%
a 43
 
4.7%
M 37
 
4.1%
i 36
 
3.9%
s 34
 
3.7%
Other values (33) 412
45.1%
Common
ValueCountFrequency (%)
1340
39.0%
1 472
 
13.7%
2 463
 
13.5%
0 413
 
12.0%
8 198
 
5.8%
7 141
 
4.1%
6 106
 
3.1%
3 95
 
2.8%
4 42
 
1.2%
5 36
 
1.0%
Other values (25) 134
 
3.9%
Han
ValueCountFrequency (%)
10
66.7%
2
 
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6547
60.0%
ASCII 4320
39.6%
None 17
 
0.2%
Punctuation 16
 
0.1%
CJK 13
 
0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1340
31.0%
1 472
 
10.9%
2 463
 
10.7%
0 413
 
9.6%
8 198
 
4.6%
7 141
 
3.3%
6 106
 
2.5%
3 95
 
2.2%
A 82
 
1.9%
e 70
 
1.6%
Other values (55) 940
21.8%
Hangul
ValueCountFrequency (%)
829
 
12.7%
300
 
4.6%
240
 
3.7%
231
 
3.5%
188
 
2.9%
188
 
2.9%
174
 
2.7%
167
 
2.6%
154
 
2.4%
148
 
2.3%
Other values (341) 3928
60.0%
CJK
ValueCountFrequency (%)
10
76.9%
1
 
7.7%
1
 
7.7%
1
 
7.7%
None
ValueCountFrequency (%)
6
35.3%
3
17.6%
3
17.6%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Punctuation
ValueCountFrequency (%)
6
37.5%
3
18.8%
3
18.8%
2
 
12.5%
2
 
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%

세부장르
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

창작초연/재공연
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
재공연
9693 
창작초연
 
307

Length

Max length4
Median length3
Mean length3.0307
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재공연 9693
96.9%
창작초연 307
 
3.1%

Length

2024-04-18T01:00:03.396808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:03.470205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재공연 9693
96.9%
창작초연 307
 
3.1%

단체
Text

MISSING 

Distinct6462
Distinct (%)90.9%
Missing2891
Missing (%)28.9%
Memory size156.2 KiB
2024-04-18T01:00:03.710804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length62
Mean length13.633141
Min length1

Characters and Unicode

Total characters96918
Distinct characters885
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6068 ?
Unique (%)85.4%

Sample

1st row황문희
2nd row난파합창단
3rd row김태형 임재홍 이명진
4th row스페인가곡연구회
5th row프로젝트 이인
ValueCountFrequency (%)
1018
 
4.8%
극단 198
 
0.9%
1명 111
 
0.5%
앙상블 98
 
0.5%
오케스트라 91
 
0.4%
2명 87
 
0.4%
3명 75
 
0.4%
외1명 59
 
0.3%
외다수 56
 
0.3%
5명 52
 
0.2%
Other values (12294) 19526
91.4%
2024-04-18T01:00:04.116937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19558
 
20.2%
2620
 
2.7%
2425
 
2.5%
1604
 
1.7%
1584
 
1.6%
1556
 
1.6%
1231
 
1.3%
1227
 
1.3%
1170
 
1.2%
1032
 
1.1%
Other values (875) 62911
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71299
73.6%
Space Separator 19558
 
20.2%
Lowercase Letter 2834
 
2.9%
Uppercase Letter 1580
 
1.6%
Decimal Number 1350
 
1.4%
Other Punctuation 90
 
0.1%
Close Punctuation 63
 
0.1%
Open Punctuation 59
 
0.1%
Math Symbol 39
 
< 0.1%
Dash Punctuation 28
 
< 0.1%
Other values (4) 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2620
 
3.7%
2425
 
3.4%
1604
 
2.2%
1584
 
2.2%
1556
 
2.2%
1231
 
1.7%
1227
 
1.7%
1170
 
1.6%
1032
 
1.4%
1028
 
1.4%
Other values (788) 55822
78.3%
Lowercase Letter
ValueCountFrequency (%)
e 335
11.8%
a 310
10.9%
n 243
 
8.6%
r 227
 
8.0%
i 227
 
8.0%
o 224
 
7.9%
t 157
 
5.5%
l 153
 
5.4%
s 151
 
5.3%
h 121
 
4.3%
Other values (16) 686
24.2%
Uppercase Letter
ValueCountFrequency (%)
S 148
 
9.4%
E 117
 
7.4%
A 115
 
7.3%
C 114
 
7.2%
T 103
 
6.5%
O 94
 
5.9%
M 90
 
5.7%
B 88
 
5.6%
P 72
 
4.6%
K 71
 
4.5%
Other values (16) 568
35.9%
Decimal Number
ValueCountFrequency (%)
1 383
28.4%
2 228
16.9%
3 176
13.0%
4 123
 
9.1%
5 119
 
8.8%
6 92
 
6.8%
7 79
 
5.9%
9 59
 
4.4%
0 49
 
3.6%
8 42
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 30
33.3%
' 20
22.2%
& 20
22.2%
· 12
 
13.3%
! 3
 
3.3%
1
 
1.1%
/ 1
 
1.1%
: 1
 
1.1%
; 1
 
1.1%
1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 61
96.8%
1
 
1.6%
1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 57
96.6%
1
 
1.7%
1
 
1.7%
Math Symbol
ValueCountFrequency (%)
< 19
48.7%
> 19
48.7%
+ 1
 
2.6%
Space Separator
ValueCountFrequency (%)
19558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Symbol
ValueCountFrequency (%)
8
100.0%
Final Punctuation
ValueCountFrequency (%)
7
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71298
73.6%
Common 21197
 
21.9%
Latin 4414
 
4.6%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2620
 
3.7%
2425
 
3.4%
1604
 
2.2%
1584
 
2.2%
1556
 
2.2%
1231
 
1.7%
1227
 
1.7%
1170
 
1.6%
1032
 
1.4%
1028
 
1.4%
Other values (781) 55821
78.3%
Latin
ValueCountFrequency (%)
e 335
 
7.6%
a 310
 
7.0%
n 243
 
5.5%
r 227
 
5.1%
i 227
 
5.1%
o 224
 
5.1%
t 157
 
3.6%
l 153
 
3.5%
s 151
 
3.4%
S 148
 
3.4%
Other values (42) 2239
50.7%
Common
ValueCountFrequency (%)
19558
92.3%
1 383
 
1.8%
2 228
 
1.1%
3 176
 
0.8%
4 123
 
0.6%
5 119
 
0.6%
6 92
 
0.4%
7 79
 
0.4%
) 61
 
0.3%
9 59
 
0.3%
Other values (24) 319
 
1.5%
Han
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71290
73.6%
ASCII 25584
 
26.4%
None 25
 
< 0.1%
Punctuation 10
 
< 0.1%
CJK 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19558
76.4%
1 383
 
1.5%
e 335
 
1.3%
a 310
 
1.2%
n 243
 
0.9%
2 228
 
0.9%
r 227
 
0.9%
i 227
 
0.9%
o 224
 
0.9%
3 176
 
0.7%
Other values (67) 3673
 
14.4%
Hangul
ValueCountFrequency (%)
2620
 
3.7%
2425
 
3.4%
1604
 
2.2%
1584
 
2.2%
1556
 
2.2%
1231
 
1.7%
1227
 
1.7%
1170
 
1.6%
1032
 
1.4%
1028
 
1.4%
Other values (780) 55813
78.3%
None
ValueCountFrequency (%)
· 12
48.0%
8
32.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
Punctuation
ValueCountFrequency (%)
7
70.0%
2
 
20.0%
1
 
10.0%
CJK
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

단체국적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

참여작가수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6881
Missing (%)68.8%
Memory size156.2 KiB

주최
Text

MISSING 

Distinct4046
Distinct (%)50.9%
Missing2047
Missing (%)20.5%
Memory size156.2 KiB
2024-04-18T01:00:04.328246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length47
Mean length8.7067773
Min length1

Characters and Unicode

Total characters69245
Distinct characters761
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3044 ?
Unique (%)38.3%

Sample

1st row음악교육신문
2nd row(사)난파합창단
3rd row㈜날다팩토리
4th row사단법인 화음
5th row스페인가곡연구회
ValueCountFrequency (%)
극단 203
 
1.9%
한국문화예술위원회 201
 
1.9%
예인예술기획 111
 
1.0%
예술의전당 106
 
1.0%
문화체육관광부 98
 
0.9%
지클레프 75
 
0.7%
이든예술기획 71
 
0.7%
한국예술종합학교 56
 
0.5%
금호아시아나문화재단 54
 
0.5%
부산광역시 53
 
0.5%
Other values (4303) 9587
90.3%
2024-04-18T01:00:04.669455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3725
 
5.4%
1937
 
2.8%
1932
 
2.8%
1916
 
2.8%
1515
 
2.2%
1398
 
2.0%
1309
 
1.9%
1275
 
1.8%
1142
 
1.6%
1068
 
1.5%
Other values (751) 52028
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59090
85.3%
Space Separator 3725
 
5.4%
Uppercase Letter 2270
 
3.3%
Lowercase Letter 1643
 
2.4%
Close Punctuation 1046
 
1.5%
Open Punctuation 1004
 
1.4%
Decimal Number 162
 
0.2%
Other Symbol 135
 
0.2%
Other Punctuation 129
 
0.2%
Dash Punctuation 21
 
< 0.1%
Other values (5) 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1937
 
3.3%
1932
 
3.3%
1916
 
3.2%
1515
 
2.6%
1398
 
2.4%
1309
 
2.2%
1275
 
2.2%
1142
 
1.9%
1068
 
1.8%
1063
 
1.8%
Other values (667) 44535
75.4%
Uppercase Letter
ValueCountFrequency (%)
S 241
 
10.6%
C 192
 
8.5%
M 157
 
6.9%
E 154
 
6.8%
A 148
 
6.5%
B 134
 
5.9%
T 133
 
5.9%
N 121
 
5.3%
O 110
 
4.8%
K 93
 
4.1%
Other values (16) 787
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 188
11.4%
a 154
 
9.4%
o 143
 
8.7%
i 127
 
7.7%
t 116
 
7.1%
n 115
 
7.0%
r 114
 
6.9%
s 109
 
6.6%
m 90
 
5.5%
u 81
 
4.9%
Other values (15) 406
24.7%
Decimal Number
ValueCountFrequency (%)
1 46
28.4%
0 25
15.4%
2 21
13.0%
3 19
11.7%
6 13
 
8.0%
9 13
 
8.0%
4 10
 
6.2%
8 9
 
5.6%
7 4
 
2.5%
5 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 38
29.5%
. 32
24.8%
· 23
17.8%
/ 21
16.3%
' 11
 
8.5%
2
 
1.6%
: 1
 
0.8%
" 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 1044
99.8%
1
 
0.1%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1002
99.8%
1
 
0.1%
[ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
3725
100.0%
Other Symbol
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Final Punctuation
ValueCountFrequency (%)
10
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59216
85.5%
Common 6107
 
8.8%
Latin 3913
 
5.7%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1937
 
3.3%
1932
 
3.3%
1916
 
3.2%
1515
 
2.6%
1398
 
2.4%
1309
 
2.2%
1275
 
2.2%
1142
 
1.9%
1068
 
1.8%
1063
 
1.8%
Other values (664) 44661
75.4%
Latin
ValueCountFrequency (%)
S 241
 
6.2%
C 192
 
4.9%
e 188
 
4.8%
M 157
 
4.0%
a 154
 
3.9%
E 154
 
3.9%
A 148
 
3.8%
o 143
 
3.7%
B 134
 
3.4%
T 133
 
3.4%
Other values (41) 2269
58.0%
Common
ValueCountFrequency (%)
3725
61.0%
) 1044
 
17.1%
( 1002
 
16.4%
1 46
 
0.8%
& 38
 
0.6%
. 32
 
0.5%
0 25
 
0.4%
· 23
 
0.4%
/ 21
 
0.3%
- 21
 
0.3%
Other values (22) 130
 
2.1%
Han
ValueCountFrequency (%)
6
66.7%
1
 
11.1%
1
 
11.1%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59077
85.3%
ASCII 9982
 
14.4%
None 162
 
0.2%
Punctuation 11
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3725
37.3%
) 1044
 
10.5%
( 1002
 
10.0%
S 241
 
2.4%
C 192
 
1.9%
e 188
 
1.9%
M 157
 
1.6%
a 154
 
1.5%
E 154
 
1.5%
A 148
 
1.5%
Other values (67) 2977
29.8%
Hangul
ValueCountFrequency (%)
1937
 
3.3%
1932
 
3.3%
1916
 
3.2%
1515
 
2.6%
1398
 
2.4%
1309
 
2.2%
1275
 
2.2%
1142
 
1.9%
1068
 
1.8%
1063
 
1.8%
Other values (660) 44522
75.4%
None
ValueCountFrequency (%)
135
83.3%
· 23
 
14.2%
2
 
1.2%
1
 
0.6%
1
 
0.6%
Punctuation
ValueCountFrequency (%)
10
90.9%
1
 
9.1%
CJK Compat Ideographs
ValueCountFrequency (%)
6
100.0%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct999
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-05-15 00:00:00
Maximum2018-12-31 00:00:00
2024-04-18T01:00:04.774502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:00:04.878082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct994
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-02 00:00:00
Maximum2019-11-29 00:00:00
2024-04-18T01:00:04.983454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:00:05.094683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공연기간
Real number (ℝ)

Distinct142
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6461
Minimum1
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:00:05.407684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile25
Maximum366
Range365
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.50012
Coefficient of variation (CV)4.3392997
Kurtosis131.75497
Mean5.6461
Median Absolute Deviation (MAD)0
Skewness10.534988
Sum56461
Variance600.25588
MonotonicityNot monotonic
2024-04-18T01:00:05.512167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7352
73.5%
2 983
 
9.8%
3 327
 
3.3%
5 158
 
1.6%
4 113
 
1.1%
6 104
 
1.0%
10 59
 
0.6%
11 45
 
0.4%
13 44
 
0.4%
31 40
 
0.4%
Other values (132) 775
 
7.8%
ValueCountFrequency (%)
1 7352
73.5%
2 983
 
9.8%
3 327
 
3.3%
4 113
 
1.1%
5 158
 
1.6%
6 104
 
1.0%
7 24
 
0.2%
8 28
 
0.3%
9 29
 
0.3%
10 59
 
0.6%
ValueCountFrequency (%)
366 8
0.1%
365 10
0.1%
362 1
 
< 0.1%
358 1
 
< 0.1%
331 1
 
< 0.1%
316 2
 
< 0.1%
315 1
 
< 0.1%
306 3
 
< 0.1%
297 1
 
< 0.1%
296 1
 
< 0.1%

공연횟수
Real number (ℝ)

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4565
Minimum1
Maximum1248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:00:05.627759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile23.05
Maximum1248
Range1247
Interquartile range (IQR)1

Descriptive statistics

Standard deviation36.191199
Coefficient of variation (CV)5.6053898
Kurtosis488.23425
Mean6.4565
Median Absolute Deviation (MAD)0
Skewness19.518659
Sum64565
Variance1309.8029
MonotonicityNot monotonic
2024-04-18T01:00:05.732143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6684
66.8%
2 994
 
9.9%
3 448
 
4.5%
4 306
 
3.1%
5 306
 
3.1%
6 225
 
2.2%
7 67
 
0.7%
8 55
 
0.5%
11 54
 
0.5%
10 46
 
0.5%
Other values (148) 815
 
8.2%
ValueCountFrequency (%)
1 6684
66.8%
2 994
 
9.9%
3 448
 
4.5%
4 306
 
3.1%
5 306
 
3.1%
6 225
 
2.2%
7 67
 
0.7%
8 55
 
0.5%
9 41
 
0.4%
10 46
 
0.5%
ValueCountFrequency (%)
1248 1
 
< 0.1%
1100 1
 
< 0.1%
1098 1
 
< 0.1%
924 1
 
< 0.1%
861 1
 
< 0.1%
732 3
< 0.1%
676 1
 
< 0.1%
674 1
 
< 0.1%
640 1
 
< 0.1%
628 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울특별시
3303 
경기도
1163 
부산광역시
809 
경상남도
615 
대구광역시
583 
Other values (12)
3527 

Length

Max length7
Median length5
Mean length4.5175
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시
2nd row서울특별시
3rd row경기도
4th row서울특별시
5th row부산광역시

Common Values

ValueCountFrequency (%)
서울특별시 3303
33.0%
경기도 1163
 
11.6%
부산광역시 809
 
8.1%
경상남도 615
 
6.2%
대구광역시 583
 
5.8%
강원도 456
 
4.6%
전라북도 404
 
4.0%
광주광역시 372
 
3.7%
대전광역시 358
 
3.6%
인천광역시 338
 
3.4%
Other values (7) 1599
16.0%

Length

2024-04-18T01:00:05.842079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 3303
33.0%
경기도 1163
 
11.6%
부산광역시 809
 
8.1%
경상남도 615
 
6.2%
대구광역시 583
 
5.8%
강원도 456
 
4.6%
전라북도 404
 
4.0%
광주광역시 372
 
3.7%
대전광역시 358
 
3.6%
인천광역시 338
 
3.4%
Other values (7) 1599
16.0%
Distinct199
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T01:00:06.109340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8746
Min length2

Characters and Unicode

Total characters28746
Distinct characters129
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row북구
2nd row종로구
3rd row수원시
4th row광진구
5th row해운대구
ValueCountFrequency (%)
종로구 1167
 
11.7%
서초구 812
 
8.1%
중구 512
 
5.1%
남구 505
 
5.1%
서구 388
 
3.9%
동구 239
 
2.4%
강남구 231
 
2.3%
전주시 197
 
2.0%
창원시 197
 
2.0%
제주시 182
 
1.8%
Other values (189) 5570
55.7%
2024-04-18T01:00:06.472015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6058
21.1%
3480
 
12.1%
1485
 
5.2%
1195
 
4.2%
1188
 
4.1%
1100
 
3.8%
965
 
3.4%
829
 
2.9%
695
 
2.4%
621
 
2.2%
Other values (119) 11130
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28746
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6058
21.1%
3480
 
12.1%
1485
 
5.2%
1195
 
4.2%
1188
 
4.1%
1100
 
3.8%
965
 
3.4%
829
 
2.9%
695
 
2.4%
621
 
2.2%
Other values (119) 11130
38.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28746
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6058
21.1%
3480
 
12.1%
1485
 
5.2%
1195
 
4.2%
1188
 
4.1%
1100
 
3.8%
965
 
3.4%
829
 
2.9%
695
 
2.4%
621
 
2.2%
Other values (119) 11130
38.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28746
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6058
21.1%
3480
 
12.1%
1485
 
5.2%
1195
 
4.2%
1188
 
4.1%
1100
 
3.8%
965
 
3.4%
829
 
2.9%
695
 
2.4%
621
 
2.2%
Other values (119) 11130
38.7%

공연장
Text

MISSING 

Distinct1015
Distinct (%)11.5%
Missing1168
Missing (%)11.7%
Memory size156.2 KiB
2024-04-18T01:00:06.651764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length6.8311821
Min length3

Characters and Unicode

Total characters60333
Distinct characters475
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

Unique303 ?
Unique (%)3.4%

Sample

1st row부산광역시립구포도서관
2nd row금호아트홀
3rd row경기도문화의전당
4th row서울상상나라
5th row수아트홀
ValueCountFrequency (%)
예술의전당 543
 
5.8%
금호아트홀 251
 
2.7%
세종문화회관 198
 
2.1%
대전예술의전당 131
 
1.4%
대구콘서트하우스 131
 
1.4%
한국소리문화의전당 128
 
1.4%
금정문화회관 126
 
1.3%
부산문화회관 125
 
1.3%
소극장 100
 
1.1%
성남아트센터 95
 
1.0%
Other values (1075) 7583
80.6%
2024-04-18T01:00:06.930257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2972
 
4.9%
2854
 
4.7%
2817
 
4.7%
2665
 
4.4%
2467
 
4.1%
2395
 
4.0%
2303
 
3.8%
2282
 
3.8%
1714
 
2.8%
1595
 
2.6%
Other values (465) 36269
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58535
97.0%
Space Separator 601
 
1.0%
Uppercase Letter 583
 
1.0%
Decimal Number 289
 
0.5%
Lowercase Letter 142
 
0.2%
Other Punctuation 82
 
0.1%
Close Punctuation 49
 
0.1%
Open Punctuation 49
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2972
 
5.1%
2854
 
4.9%
2817
 
4.8%
2665
 
4.6%
2467
 
4.2%
2395
 
4.1%
2303
 
3.9%
2282
 
3.9%
1714
 
2.9%
1595
 
2.7%
Other values (405) 34471
58.9%
Uppercase Letter
ValueCountFrequency (%)
K 95
16.3%
C 84
14.4%
S 83
14.2%
N 46
 
7.9%
B 35
 
6.0%
O 32
 
5.5%
U 26
 
4.5%
T 22
 
3.8%
F 21
 
3.6%
G 20
 
3.4%
Other values (13) 119
20.4%
Lowercase Letter
ValueCountFrequency (%)
e 17
12.0%
k 16
11.3%
n 16
11.3%
u 11
 
7.7%
t 10
 
7.0%
i 10
 
7.0%
s 9
 
6.3%
v 8
 
5.6%
r 8
 
5.6%
a 7
 
4.9%
Other values (10) 30
21.1%
Decimal Number
ValueCountFrequency (%)
1 95
32.9%
5 77
26.6%
3 71
24.6%
0 15
 
5.2%
2 11
 
3.8%
6 7
 
2.4%
8 7
 
2.4%
7 4
 
1.4%
9 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
· 58
70.7%
. 20
 
24.4%
& 3
 
3.7%
1
 
1.2%
Space Separator
ValueCountFrequency (%)
601
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58535
97.0%
Common 1073
 
1.8%
Latin 725
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2972
 
5.1%
2854
 
4.9%
2817
 
4.8%
2665
 
4.6%
2467
 
4.2%
2395
 
4.1%
2303
 
3.9%
2282
 
3.9%
1714
 
2.9%
1595
 
2.7%
Other values (405) 34471
58.9%
Latin
ValueCountFrequency (%)
K 95
 
13.1%
C 84
 
11.6%
S 83
 
11.4%
N 46
 
6.3%
B 35
 
4.8%
O 32
 
4.4%
U 26
 
3.6%
T 22
 
3.0%
F 21
 
2.9%
G 20
 
2.8%
Other values (33) 261
36.0%
Common
ValueCountFrequency (%)
601
56.0%
1 95
 
8.9%
5 77
 
7.2%
3 71
 
6.6%
· 58
 
5.4%
) 49
 
4.6%
( 49
 
4.6%
. 20
 
1.9%
0 15
 
1.4%
2 11
 
1.0%
Other values (7) 27
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58535
97.0%
ASCII 1739
 
2.9%
None 59
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2972
 
5.1%
2854
 
4.9%
2817
 
4.8%
2665
 
4.6%
2467
 
4.2%
2395
 
4.1%
2303
 
3.9%
2282
 
3.9%
1714
 
2.9%
1595
 
2.7%
Other values (405) 34471
58.9%
ASCII
ValueCountFrequency (%)
601
34.6%
1 95
 
5.5%
K 95
 
5.5%
C 84
 
4.8%
S 83
 
4.8%
5 77
 
4.4%
3 71
 
4.1%
) 49
 
2.8%
( 49
 
2.8%
N 46
 
2.6%
Other values (48) 489
28.1%
None
ValueCountFrequency (%)
· 58
98.3%
1
 
1.7%

공연장_세부
Text

MISSING 

Distinct423
Distinct (%)7.0%
Missing3943
Missing (%)39.4%
Memory size156.2 KiB
2024-04-18T01:00:07.151189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length4.1788014
Min length2

Characters and Unicode

Total characters25311
Distinct characters328
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

Unique132 ?
Unique (%)2.2%

Sample

1st row소리와빛터
2nd row대극장
3rd row지하1층 강당
4th row체임버홀
5th row자유소극장
ValueCountFrequency (%)
대공연장 805
 
12.6%
대극장 504
 
7.9%
소극장 467
 
7.3%
소공연장 436
 
6.8%
콘서트홀 275
 
4.3%
공연장 227
 
3.5%
리사이틀홀 224
 
3.5%
ibk챔버홀 195
 
3.0%
챔버홀 123
 
1.9%
대강당 99
 
1.5%
Other values (403) 3054
47.7%
2024-04-18T01:00:07.479812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3088
 
12.2%
2262
 
8.9%
1678
 
6.6%
1588
 
6.3%
1528
 
6.0%
1489
 
5.9%
1014
 
4.0%
518
 
2.0%
471
 
1.9%
466
 
1.8%
Other values (318) 11209
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23599
93.2%
Uppercase Letter 716
 
2.8%
Space Separator 471
 
1.9%
Decimal Number 343
 
1.4%
Close Punctuation 62
 
0.2%
Open Punctuation 62
 
0.2%
Lowercase Letter 53
 
0.2%
Other Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3088
 
13.1%
2262
 
9.6%
1678
 
7.1%
1588
 
6.7%
1528
 
6.5%
1489
 
6.3%
1014
 
4.3%
518
 
2.2%
466
 
2.0%
392
 
1.7%
Other values (277) 9576
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 217
30.3%
K 204
28.5%
I 195
27.2%
M 27
 
3.8%
C 18
 
2.5%
S 15
 
2.1%
J 14
 
2.0%
O 4
 
0.6%
E 4
 
0.6%
A 4
 
0.6%
Other values (9) 14
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 150
43.7%
2 121
35.3%
3 36
 
10.5%
0 12
 
3.5%
5 9
 
2.6%
4 8
 
2.3%
9 4
 
1.2%
8 2
 
0.6%
6 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 12
22.6%
p 12
22.6%
e 12
22.6%
c 12
22.6%
s 3
 
5.7%
n 1
 
1.9%
o 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
' 2
50.0%
# 2
50.0%
Space Separator
ValueCountFrequency (%)
471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23599
93.2%
Common 942
 
3.7%
Latin 770
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3088
 
13.1%
2262
 
9.6%
1678
 
7.1%
1588
 
6.7%
1528
 
6.5%
1489
 
6.3%
1014
 
4.3%
518
 
2.2%
466
 
2.0%
392
 
1.7%
Other values (277) 9576
40.6%
Latin
ValueCountFrequency (%)
B 217
28.2%
K 204
26.5%
I 195
25.3%
M 27
 
3.5%
C 18
 
2.3%
S 15
 
1.9%
J 14
 
1.8%
a 12
 
1.6%
p 12
 
1.6%
e 12
 
1.6%
Other values (17) 44
 
5.7%
Common
ValueCountFrequency (%)
471
50.0%
1 150
 
15.9%
2 121
 
12.8%
) 62
 
6.6%
( 62
 
6.6%
3 36
 
3.8%
0 12
 
1.3%
5 9
 
1.0%
4 8
 
0.8%
9 4
 
0.4%
Other values (4) 7
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23599
93.2%
ASCII 1711
 
6.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3088
 
13.1%
2262
 
9.6%
1678
 
7.1%
1588
 
6.7%
1528
 
6.5%
1489
 
6.3%
1014
 
4.3%
518
 
2.2%
466
 
2.0%
392
 
1.7%
Other values (277) 9576
40.6%
ASCII
ValueCountFrequency (%)
471
27.5%
B 217
12.7%
K 204
11.9%
I 195
11.4%
1 150
 
8.8%
2 121
 
7.1%
) 62
 
3.6%
( 62
 
3.6%
3 36
 
2.1%
M 27
 
1.6%
Other values (30) 166
 
9.7%
Number Forms
ValueCountFrequency (%)
1
100.0%

미등록공연장
Text

MISSING 

Distinct349
Distinct (%)37.8%
Missing9077
Missing (%)90.8%
Memory size156.2 KiB
2024-04-18T01:00:07.699812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.035753
Min length3

Characters and Unicode

Total characters6494
Distinct characters369
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)22.9%

Sample

1st row국립나주박물관
2nd row국립무형유산원
3rd row한국소리문화의전당
4th row광림아트센터
5th row유·스퀘어문화관
ValueCountFrequency (%)
유·스퀘어문화관 78
 
7.8%
광림아트센터 41
 
4.1%
재즈클럽몽크 37
 
3.7%
서울돈화문국악당 16
 
1.6%
남산국악당 13
 
1.3%
남해국제탈공연예술촌 12
 
1.2%
범어아트스트리트 11
 
1.1%
밀양연극촌 11
 
1.1%
소극장 11
 
1.1%
부천점 11
 
1.1%
Other values (369) 765
76.0%
2024-04-18T01:00:07.999854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
3.4%
201
 
3.1%
196
 
3.0%
190
 
2.9%
183
 
2.8%
134
 
2.1%
124
 
1.9%
116
 
1.8%
115
 
1.8%
112
 
1.7%
Other values (359) 4900
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6117
94.2%
Uppercase Letter 145
 
2.2%
Space Separator 86
 
1.3%
Other Punctuation 85
 
1.3%
Decimal Number 33
 
0.5%
Lowercase Letter 28
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
223
 
3.6%
201
 
3.3%
196
 
3.2%
190
 
3.1%
183
 
3.0%
134
 
2.2%
124
 
2.0%
116
 
1.9%
115
 
1.9%
112
 
1.8%
Other values (319) 4523
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 40
27.6%
N 25
17.2%
J 13
 
9.0%
T 12
 
8.3%
K 11
 
7.6%
G 8
 
5.5%
M 8
 
5.5%
S 6
 
4.1%
F 5
 
3.4%
E 3
 
2.1%
Other values (9) 14
 
9.7%
Lowercase Letter
ValueCountFrequency (%)
a 5
17.9%
e 4
14.3%
m 4
14.3%
t 3
10.7%
l 2
 
7.1%
p 2
 
7.1%
s 2
 
7.1%
g 2
 
7.1%
c 1
 
3.6%
r 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 13
39.4%
0 7
21.2%
3 6
18.2%
2 4
 
12.1%
6 2
 
6.1%
9 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
· 78
91.8%
& 7
 
8.2%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6117
94.2%
Common 204
 
3.1%
Latin 173
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
223
 
3.6%
201
 
3.3%
196
 
3.2%
190
 
3.1%
183
 
3.0%
134
 
2.2%
124
 
2.0%
116
 
1.9%
115
 
1.9%
112
 
1.8%
Other values (319) 4523
73.9%
Latin
ValueCountFrequency (%)
C 40
23.1%
N 25
14.5%
J 13
 
7.5%
T 12
 
6.9%
K 11
 
6.4%
G 8
 
4.6%
M 8
 
4.6%
S 6
 
3.5%
a 5
 
2.9%
F 5
 
2.9%
Other values (21) 40
23.1%
Common
ValueCountFrequency (%)
86
42.2%
· 78
38.2%
1 13
 
6.4%
& 7
 
3.4%
0 7
 
3.4%
3 6
 
2.9%
2 4
 
2.0%
6 2
 
1.0%
9 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6117
94.2%
ASCII 299
 
4.6%
None 78
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
223
 
3.6%
201
 
3.3%
196
 
3.2%
190
 
3.1%
183
 
3.0%
134
 
2.2%
124
 
2.0%
116
 
1.9%
115
 
1.9%
112
 
1.8%
Other values (319) 4523
73.9%
ASCII
ValueCountFrequency (%)
86
28.8%
C 40
13.4%
N 25
 
8.4%
J 13
 
4.3%
1 13
 
4.3%
T 12
 
4.0%
K 11
 
3.7%
G 8
 
2.7%
M 8
 
2.7%
& 7
 
2.3%
Other values (29) 76
25.4%
None
ValueCountFrequency (%)
· 78
100.0%
Distinct146
Distinct (%)30.8%
Missing9526
Missing (%)95.3%
Memory size156.2 KiB
2024-04-18T01:00:08.257282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length4.4957806
Min length2

Characters and Unicode

Total characters2131
Distinct characters198
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)17.1%

Sample

1st row이벤트홀
2nd row중정
3rd row장천홀
4th row금호아트홀
5th row금호아트홀
ValueCountFrequency (%)
금호아트홀 69
 
12.9%
공연장 37
 
6.9%
장천홀 37
 
6.9%
소극장 13
 
2.4%
야외무대 13
 
2.4%
아트홀 12
 
2.2%
대강당 12
 
2.2%
크라운해태홀 11
 
2.1%
롯데문화홀 10
 
1.9%
강당 10
 
1.9%
Other values (141) 312
58.2%
2024-04-18T01:00:08.610624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
9.9%
180
 
8.4%
102
 
4.8%
100
 
4.7%
77
 
3.6%
75
 
3.5%
70
 
3.3%
69
 
3.2%
68
 
3.2%
65
 
3.1%
Other values (188) 1115
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1992
93.5%
Space Separator 77
 
3.6%
Decimal Number 40
 
1.9%
Uppercase Letter 21
 
1.0%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
210
 
10.5%
180
 
9.0%
102
 
5.1%
100
 
5.0%
75
 
3.8%
70
 
3.5%
69
 
3.5%
68
 
3.4%
65
 
3.3%
55
 
2.8%
Other values (175) 998
50.1%
Decimal Number
ValueCountFrequency (%)
1 9
22.5%
4 9
22.5%
3 8
20.0%
2 6
15.0%
0 3
 
7.5%
9 3
 
7.5%
6 2
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
42.9%
C 7
33.3%
H 4
19.0%
A 1
 
4.8%
Space Separator
ValueCountFrequency (%)
77
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1992
93.5%
Common 117
 
5.5%
Latin 22
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
210
 
10.5%
180
 
9.0%
102
 
5.1%
100
 
5.0%
75
 
3.8%
70
 
3.5%
69
 
3.5%
68
 
3.4%
65
 
3.3%
55
 
2.8%
Other values (175) 998
50.1%
Common
ValueCountFrequency (%)
77
65.8%
1 9
 
7.7%
4 9
 
7.7%
3 8
 
6.8%
2 6
 
5.1%
0 3
 
2.6%
9 3
 
2.6%
6 2
 
1.7%
Latin
ValueCountFrequency (%)
B 9
40.9%
C 7
31.8%
H 4
18.2%
A 1
 
4.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1992
93.5%
ASCII 138
 
6.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
210
 
10.5%
180
 
9.0%
102
 
5.1%
100
 
5.0%
75
 
3.8%
70
 
3.5%
69
 
3.5%
68
 
3.4%
65
 
3.3%
55
 
2.8%
Other values (175) 998
50.1%
ASCII
ValueCountFrequency (%)
77
55.8%
1 9
 
6.5%
B 9
 
6.5%
4 9
 
6.5%
3 8
 
5.8%
C 7
 
5.1%
2 6
 
4.3%
H 4
 
2.9%
0 3
 
2.2%
9 3
 
2.2%
Other values (2) 3
 
2.2%
Number Forms
ValueCountFrequency (%)
1
100.0%

공연시설 외
Text

MISSING 

Distinct296
Distinct (%)72.5%
Missing9592
Missing (%)95.9%
Memory size156.2 KiB
2024-04-18T01:00:08.807935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.1102941
Min length2

Characters and Unicode

Total characters2901
Distinct characters359
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)60.8%

Sample

1st row신천공원
2nd row시민소리숲
3rd row로비
4th row대강당
5th row성밖숲 일원
ValueCountFrequency (%)
로비 41
 
6.4%
1층 26
 
4.0%
광장 20
 
3.1%
앞마당 14
 
2.2%
특설무대 12
 
1.9%
b동 10
 
1.6%
대강당 10
 
1.6%
8
 
1.2%
마당 6
 
0.9%
체육관 5
 
0.8%
Other values (385) 492
76.4%
2024-04-18T01:00:09.104063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
8.4%
78
 
2.7%
71
 
2.4%
53
 
1.8%
53
 
1.8%
52
 
1.8%
51
 
1.8%
50
 
1.7%
50
 
1.7%
47
 
1.6%
Other values (349) 2151
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2498
86.1%
Space Separator 245
 
8.4%
Decimal Number 69
 
2.4%
Uppercase Letter 32
 
1.1%
Lowercase Letter 25
 
0.9%
Close Punctuation 14
 
0.5%
Open Punctuation 14
 
0.5%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
 
3.1%
71
 
2.8%
53
 
2.1%
53
 
2.1%
52
 
2.1%
51
 
2.0%
50
 
2.0%
50
 
2.0%
47
 
1.9%
45
 
1.8%
Other values (315) 1948
78.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
37.5%
S 5
15.6%
C 4
 
12.5%
O 3
 
9.4%
P 2
 
6.2%
E 1
 
3.1%
A 1
 
3.1%
Z 1
 
3.1%
K 1
 
3.1%
T 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 32
46.4%
3 8
 
11.6%
2 7
 
10.1%
0 6
 
8.7%
5 5
 
7.2%
6 3
 
4.3%
8 2
 
2.9%
4 2
 
2.9%
7 2
 
2.9%
9 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
28.0%
g 4
16.0%
a 4
16.0%
t 4
16.0%
n 3
12.0%
o 2
 
8.0%
w 1
 
4.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2498
86.1%
Common 346
 
11.9%
Latin 57
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
 
3.1%
71
 
2.8%
53
 
2.1%
53
 
2.1%
52
 
2.1%
51
 
2.0%
50
 
2.0%
50
 
2.0%
47
 
1.9%
45
 
1.8%
Other values (315) 1948
78.0%
Latin
ValueCountFrequency (%)
B 12
21.1%
e 7
12.3%
S 5
8.8%
g 4
 
7.0%
a 4
 
7.0%
C 4
 
7.0%
t 4
 
7.0%
n 3
 
5.3%
O 3
 
5.3%
o 2
 
3.5%
Other values (8) 9
15.8%
Common
ValueCountFrequency (%)
245
70.8%
1 32
 
9.2%
) 14
 
4.0%
( 14
 
4.0%
3 8
 
2.3%
2 7
 
2.0%
0 6
 
1.7%
5 5
 
1.4%
6 3
 
0.9%
8 2
 
0.6%
Other values (6) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2498
86.1%
ASCII 403
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
60.8%
1 32
 
7.9%
) 14
 
3.5%
( 14
 
3.5%
B 12
 
3.0%
3 8
 
2.0%
2 7
 
1.7%
e 7
 
1.7%
0 6
 
1.5%
5 5
 
1.2%
Other values (24) 53
 
13.2%
Hangul
ValueCountFrequency (%)
78
 
3.1%
71
 
2.8%
53
 
2.1%
53
 
2.1%
52
 
2.1%
51
 
2.0%
50
 
2.0%
50
 
2.0%
47
 
1.9%
45
 
1.8%
Other values (315) 1948
78.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5930 
공공
2822 
민간
1248 

Length

Max length4
Median length4
Mean length3.186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5930
59.3%
공공 2822
28.2%
민간 1248
 
12.5%

Length

2024-04-18T01:00:09.213685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:09.293599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5930
59.3%
공공 2822
28.2%
민간 1248
 
12.5%

실내/실외
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9628 
실외
 
372

Length

Max length4
Median length4
Mean length3.9256
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9628
96.3%
실외 372
 
3.7%

Length

2024-04-18T01:00:09.379610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:09.462483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9628
96.3%
실외 372
 
3.7%

비고
Text

MISSING 

Distinct268
Distinct (%)28.3%
Missing9052
Missing (%)90.5%
Memory size156.2 KiB
2024-04-18T01:00:09.597867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length3
Mean length4.2257384
Min length1

Characters and Unicode

Total characters4006
Distinct characters276
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)20.8%

Sample

1st row마술쇼
2nd row서커스
3rd row인형극
4th row인형극
5th row해외전통춤
ValueCountFrequency (%)
인형극 203
18.0%
마술쇼 112
 
9.9%
영상물 77
 
6.8%
재즈 54
 
4.8%
버블쇼 51
 
4.5%
마술 38
 
3.4%
공연실황상영 26
 
2.3%
마임 22
 
2.0%
개그쇼 21
 
1.9%
서커스 21
 
1.9%
Other values (262) 502
44.5%
2024-04-18T01:00:09.855565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
 
7.5%
296
 
7.4%
244
 
6.1%
221
 
5.5%
220
 
5.5%
187
 
4.7%
160
 
4.0%
121
 
3.0%
119
 
3.0%
106
 
2.6%
Other values (266) 2033
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3677
91.8%
Space Separator 296
 
7.4%
Uppercase Letter 10
 
0.2%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Other Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
299
 
8.1%
244
 
6.6%
221
 
6.0%
220
 
6.0%
187
 
5.1%
160
 
4.4%
121
 
3.3%
119
 
3.2%
106
 
2.9%
84
 
2.3%
Other values (250) 1916
52.1%
Uppercase Letter
ValueCountFrequency (%)
D 2
20.0%
E 2
20.0%
L 2
20.0%
B 2
20.0%
Y 1
10.0%
O 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3677
91.8%
Common 318
 
7.9%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
299
 
8.1%
244
 
6.6%
221
 
6.0%
220
 
6.0%
187
 
5.1%
160
 
4.4%
121
 
3.3%
119
 
3.2%
106
 
2.9%
84
 
2.3%
Other values (250) 1916
52.1%
Common
ValueCountFrequency (%)
296
93.1%
) 8
 
2.5%
( 8
 
2.5%
/ 1
 
0.3%
& 1
 
0.3%
- 1
 
0.3%
3 1
 
0.3%
1 1
 
0.3%
+ 1
 
0.3%
Latin
ValueCountFrequency (%)
D 2
18.2%
E 2
18.2%
L 2
18.2%
B 2
18.2%
Y 1
9.1%
O 1
9.1%
d 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3677
91.8%
ASCII 329
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
299
 
8.1%
244
 
6.6%
221
 
6.0%
220
 
6.0%
187
 
5.1%
160
 
4.4%
121
 
3.3%
119
 
3.2%
106
 
2.9%
84
 
2.3%
Other values (250) 1916
52.1%
ASCII
ValueCountFrequency (%)
296
90.0%
) 8
 
2.4%
( 8
 
2.4%
D 2
 
0.6%
E 2
 
0.6%
L 2
 
0.6%
B 2
 
0.6%
/ 1
 
0.3%
& 1
 
0.3%
Y 1
 
0.3%
Other values (6) 6
 
1.8%

프로그램
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

연번
Real number (ℝ)

Distinct8493
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9374.7071
Minimum1
Maximum21946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:00:09.962793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile874
Q14333.75
median8721
Q314153.75
95-th percentile19634.05
Maximum21946
Range21945
Interquartile range (IQR)9820

Descriptive statistics

Standard deviation5932.3166
Coefficient of variation (CV)0.63280021
Kurtosis-1.0129271
Mean9374.7071
Median Absolute Deviation (MAD)4815
Skewness0.29415604
Sum93747071
Variance35192381
MonotonicityNot monotonic
2024-04-18T01:00:10.065863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9231 3
 
< 0.1%
1449 3
 
< 0.1%
1739 3
 
< 0.1%
8815 3
 
< 0.1%
4407 3
 
< 0.1%
2327 3
 
< 0.1%
9208 3
 
< 0.1%
6570 3
 
< 0.1%
2557 3
 
< 0.1%
9542 3
 
< 0.1%
Other values (8483) 9970
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 2
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
21946 1
< 0.1%
21945 1
< 0.1%
21944 1
< 0.1%
21940 1
< 0.1%
21936 1
< 0.1%
21928 1
< 0.1%
21920 1
< 0.1%
21915 1
< 0.1%
21909 1
< 0.1%
21899 1
< 0.1%

Sample

연도대분류중분류소분류공연명1공연명2행사명세부장르창작초연/재공연단체단체국적참여작가수주최시작일종료일공연기간공연횟수지역1_광역자치단체지역2_기초자치단체공연장공연장_세부미등록공연장미등록공연장_세부공연시설 외공연장 운영주체실내/실외비고프로그램연번
100362018공연예술연극기타씩씩이 아저씨의 웃음폭발매직쇼<NA><NA><NA>재공연<NA><NA>NaN<NA>2018-08-182018-08-1811부산광역시북구부산광역시립구포도서관소리와빛터<NA><NA><NA>공공<NA>마술쇼<NA>11382
321332017공연예술양악기악황문희 피아노 독주회<NA><NA><NA>재공연황문희<NA>NaN음악교육신문2017-11-032017-11-0311서울특별시종로구금호아트홀<NA><NA><NA><NA><NA><NA><NA><NA>15457
146582018공연예술양악합창난파합창단 제80회 정기연주회<NA><NA><NA>재공연난파합창단<NA>NaN(사)난파합창단2018-10-302018-10-3011경기도수원시경기도문화의전당대극장<NA><NA><NA>민간<NA><NA><NA>16711
359372016공연예술무용기타판타지 가족서커스 날다<NA><NA><NA>재공연<NA><NA>NaN㈜날다팩토리2016-01-012016-02-104134서울특별시광진구서울상상나라<NA><NA><NA><NA><NA><NA>서커스<NA>117
320222017공연예술양악기악2017 화음 프로젝트 페스티벌 in 부산<NA><NA><NA>재공연김태형 임재홍 이명진<NA>3사단법인 화음2017-11-012017-11-0111부산광역시해운대구수아트홀<NA><NA><NA><NA><NA><NA><NA><NA>15316
226802017공연예술연극기타인형극 <빈대떡 신사>4월 문화가 있는 날 공연<NA><NA>재공연<NA><NA>NaN<NA>2017-04-262017-04-2612서울특별시용산구국립한글박물관지하1층 강당<NA><NA><NA><NA><NA>인형극<NA>4156
456982016공연예술양악기악제56회 스페인가곡연구회 정기연주회<NA><NA><NA>재공연스페인가곡연구회<NA>NaN스페인가곡연구회2016-09-082016-09-0811서울특별시종로구세종문화회관체임버홀<NA><NA><NA><NA><NA><NA><NA>11539
433582016공연예술국악기타국악체험놀이극 토끼와 자라 얼씨구나 용궁가자문화가 있는 날 플러스<NA><NA>재공연<NA><NA>NaN문화체육관광부2016-07-162016-07-1611전라남도나주시<NA><NA>국립나주박물관이벤트홀<NA><NA><NA><NA><NA>8734
139512018공연예술무용현대무용연인들은 바닥없는 호수에서 헤엄친다<NA><NA><NA>재공연프로젝트 이인<NA>NaN프로젝트 이인2018-10-202018-10-2011서울특별시서초구예술의전당자유소극장<NA><NA><NA>공공<NA><NA><NA>15870
426252016공연예술연극기타창극 오락가락문화가 있는 날<NA><NA>재공연국립문화유산원<NA>NaN전북도청2016-06-292016-06-2911전라북도전주시<NA><NA>국립무형유산원<NA><NA><NA>실외<NA><NA>7889
연도대분류중분류소분류공연명1공연명2행사명세부장르창작초연/재공연단체단체국적참여작가수주최시작일종료일공연기간공연횟수지역1_광역자치단체지역2_기초자치단체공연장공연장_세부미등록공연장미등록공연장_세부공연시설 외공연장 운영주체실내/실외비고프로그램연번
177242018공연예술연극뮤지컬어린이겨울판타지뮤지컬 ‘호두까기 인형’차이코프스키의 아름다운 선율이 함께하는 가족뮤지컬!<NA><NA>재공연<NA><NA>NaN파릇2018-12-082019-01-272435서울특별시종로구봄날아트홀2관<NA><NA><NA>민간<NA><NA><NA>20312
194882017공연예술연극뮤지컬제1회 한국뮤지컬어워즈<NA><NA><NA>재공연강필석 박혜나 전나영 신영숙 김찬 외<NA>NaN<NA>2017-01-162017-01-1611서울특별시용산구블루스퀘어(Blue Square)아이마켓홀<NA><NA><NA><NA><NA><NA><NA>413
166382018공연예술양악기악문화가 있는 날의 룰루랄라 바람놀이터 음악회<NA><NA><NA>재공연독도팝스오케스트라<NA>NaN<NA>2018-11-242018-11-2411경상북도울릉군울릉한마음회관대공연장<NA><NA><NA>공공<NA><NA><NA>19055
60652018공연예술연극뮤지컬교육뮤지컬 “쓱싹쓱싹 냠냠냠 건강하게 먹어요”<NA><NA><NA>재공연<NA><NA>NaN남동구어린이급식관리지원센터2018-05-312018-06-0122인천광역시남동구남동소래아트홀소래극장<NA><NA><NA>공공<NA><NA><NA>6860
62292018공연예술연극기타2018년 6월 손 인형극 이야기 ' 아비사와 아사랑 '<NA><NA><NA>재공연<NA><NA>NaN<NA>2018-06-022018-06-302911전라남도나주시국립나주박물관<NA><NA><NA>박물관어린이체험놀이터공공<NA>손인형극<NA>7051
195452017공연예술무용현대무용앰비규어스댄스컴퍼니 얼토당토경기공연예술페스타 2017경기공연예술페스타 2017<NA>재공연앰비규어스댄스컴퍼니<NA>NaN<NA>2017-01-192017-01-1911경기도구리시구리아트홀유채꽃소극장<NA><NA><NA><NA><NA><NA><NA>481
289472017공연예술양악기악제주특별자치도립 서귀포관악단 11시 금요음악산책<NA><NA><NA>재공연서귀포관악단<NA>NaN문화예술과2017-09-082017-09-0811제주특별자치도서귀포시서귀포예술의전당대극장<NA><NA><NA><NA><NA><NA><NA>11553
186162018공연예술양악기악Fragrance이상정 피아노 독주회<NA><NA>재공연이상정<NA>1이든예술기획2018-12-222018-12-2211서울특별시서초구예술의전당리사이틀홀<NA><NA><NA>공공<NA><NA><NA>21360
325652017공연예술연극연극사방팔방<NA><NA><NA>재공연<NA><NA>NaN공연단체 위로2017-11-092017-11-1023인천광역시중구한중문화관4층 공연장<NA><NA><NA><NA><NA><NA><NA>16001
116512018공연예술양악기악아메리칸 나이트3 : 피아니스트 김성연 리사이틀<NA><NA><NA>재공연김성연<NA>1대구콘서트하우스2018-09-132018-09-1311대구광역시중구대구콘서트하우스챔버홀<NA><NA><NA>공공<NA><NA><NA>13251