Overview

Dataset statistics

Number of variables28
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.1 KiB
Average record size in memory246.3 B

Variable types

Categorical4
Text5
Numeric19

Alerts

sm_mt is highly imbalanced (80.6%)Imbalance
coronic_co is highly imbalanced (89.8%)Imbalance
nineteen_year_pblprfr_cas_co has 48 (48.0%) zerosZeros
nineteen_year_rasng_cutin_co has 66 (66.0%) zerosZeros
nineteen_year_stgng_co has 48 (48.0%) zerosZeros
nineteen_year_tot_advantk_co has 49 (49.0%) zerosZeros
twenty_year_seat_co has 13 (13.0%) zerosZeros
twenty_year_pblprfr_cas_co has 45 (45.0%) zerosZeros
twenty_year_rasng_cutin_co has 62 (62.0%) zerosZeros
twenty_year_stgng_co has 45 (45.0%) zerosZeros
twenty_year_tot_advantk_co has 47 (47.0%) zerosZeros
pblprfr_cas_co_irds_co has 50 (50.0%) zerosZeros
rasng_cutin_co_irds_co has 51 (51.0%) zerosZeros
stgng_co_irds_co has 33 (33.0%) zerosZeros
tot_advantk_co_irds_co has 33 (33.0%) zerosZeros
pblprfr_cas_co_vartion_rt has 61 (61.0%) zerosZeros
rasng_cutin_co_vartion_rt has 82 (82.0%) zerosZeros
stgng_co_vartion_rt has 61 (61.0%) zerosZeros
tot_advantk_co_vartion_rt has 63 (63.0%) zerosZeros

Reproduction

Analysis started2023-12-10 09:51:21.535183
Analysis finished2023-12-10 09:51:22.769053
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

sm_mt
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
97 
11
 
3

Length

Max length2
Median length1
Mean length1.03
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row11
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 97
97.0%
11 3
 
3.0%

Length

2023-12-10T18:51:22.914107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:23.096388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
97.0%
11 3
 
3.0%

pblprfr_fclty_nm
Text

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:51:23.734339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.53
Min length2

Characters and Unicode

Total characters953
Distinct characters165
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)37.0%

Sample

1st row블루스퀘어
2nd row한국소리문화의전당
3rd row예술의전당
4th row세종문화회관
5th row대학로 드림아트센터
ValueCountFrequency (%)
밀양아리나(구 4
 
2.9%
대학로스타시티 4
 
2.9%
밀양연극촌 4
 
2.9%
대학로 4
 
2.9%
아트홀(구 3
 
2.1%
한국소리문화의전당 3
 
2.1%
대학로예술마당 3
 
2.1%
드림아트센터 3
 
2.1%
jtn 3
 
2.1%
동양예술극장(구 3
 
2.1%
Other values (74) 106
75.7%
2023-12-10T18:51:24.613498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 52
 
5.5%
트 43
 
4.5%
40
 
4.2%
문 34
 
3.6%
화 32
 
3.4%
터 27
 
2.8%
관 25
 
2.6%
구 25
 
2.6%
대 23
 
2.4%
예 22
 
2.3%
Other values (155) 630
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
86.3%
Space Separator 40
 
4.2%
Uppercase Letter 26
 
2.7%
Close Punctuation 22
 
2.3%
Open Punctuation 22
 
2.3%
Other Punctuation 19
 
2.0%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 52
 
6.3%
트 43
 
5.2%
문 34
 
4.1%
화 32
 
3.9%
터 27
 
3.3%
관 25
 
3.0%
구 25
 
3.0%
대 23
 
2.8%
예 22
 
2.7%
센 22
 
2.7%
Other values (137) 517
62.9%
Uppercase Letter
ValueCountFrequency (%)
K 7
26.9%
N 6
23.1%
B 3
11.5%
T 3
11.5%
J 3
11.5%
C 1
 
3.8%
F 1
 
3.8%
D 1
 
3.8%
S 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 21
95.5%
] 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
[ 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 15
78.9%
, 4
 
21.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
86.3%
Common 105
 
11.0%
Latin 26
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 52
 
6.3%
트 43
 
5.2%
문 34
 
4.1%
화 32
 
3.9%
터 27
 
3.3%
관 25
 
3.0%
구 25
 
3.0%
대 23
 
2.8%
예 22
 
2.7%
센 22
 
2.7%
Other values (137) 517
62.9%
Common
ValueCountFrequency (%)
40
38.1%
) 21
20.0%
( 21
20.0%
. 15
 
14.3%
, 4
 
3.8%
[ 1
 
1.0%
] 1
 
1.0%
2 1
 
1.0%
4 1
 
1.0%
Latin
ValueCountFrequency (%)
K 7
26.9%
N 6
23.1%
B 3
11.5%
T 3
11.5%
J 3
11.5%
C 1
 
3.8%
F 1
 
3.8%
D 1
 
3.8%
S 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
86.3%
ASCII 131
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 52
 
6.3%
트 43
 
5.2%
문 34
 
4.1%
화 32
 
3.9%
터 27
 
3.3%
관 25
 
3.0%
구 25
 
3.0%
대 23
 
2.8%
예 22
 
2.7%
센 22
 
2.7%
Other values (137) 517
62.9%
ASCII
ValueCountFrequency (%)
40
30.5%
) 21
16.0%
( 21
16.0%
. 15
 
11.5%
K 7
 
5.3%
N 6
 
4.6%
, 4
 
3.1%
B 3
 
2.3%
T 3
 
2.3%
J 3
 
2.3%
Other values (8) 8
 
6.1%

pblprfr_detail_fclty_nm
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:51:25.154838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length13
Mean length5.37
Min length2

Characters and Unicode

Total characters537
Distinct characters136
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)60.0%

Sample

1st row카오스홀
2nd row명인홀
3rd row인춘아트홀
4th rowS씨어터
5th row2관 더블케이씨어터
ValueCountFrequency (%)
소공연장 12
 
10.4%
2관 9
 
7.8%
1관 6
 
5.2%
소극장 5
 
4.3%
야외공연장 3
 
2.6%
3관 3
 
2.6%
구 2
 
1.7%
명인홀 2
 
1.7%
고운홀 2
 
1.7%
대공연장 2
 
1.7%
Other values (69) 69
60.0%
2023-12-10T18:51:26.112170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 49
 
9.1%
관 32
 
6.0%
소 27
 
5.0%
연 26
 
4.8%
공 26
 
4.8%
홀 24
 
4.5%
극 21
 
3.9%
) 19
 
3.5%
( 19
 
3.5%
15
 
2.8%
Other values (126) 279
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
82.5%
Decimal Number 34
 
6.3%
Close Punctuation 19
 
3.5%
Open Punctuation 19
 
3.5%
Space Separator 15
 
2.8%
Other Punctuation 4
 
0.7%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 49
 
11.1%
관 32
 
7.2%
소 27
 
6.1%
연 26
 
5.9%
공 26
 
5.9%
홀 24
 
5.4%
극 21
 
4.7%
스 9
 
2.0%
터 7
 
1.6%
오 6
 
1.4%
Other values (115) 216
48.8%
Decimal Number
ValueCountFrequency (%)
2 14
41.2%
1 11
32.4%
3 8
23.5%
4 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
M 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 443
82.5%
Common 91
 
16.9%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 49
 
11.1%
관 32
 
7.2%
소 27
 
6.1%
연 26
 
5.9%
공 26
 
5.9%
홀 24
 
5.4%
극 21
 
4.7%
스 9
 
2.0%
터 7
 
1.6%
오 6
 
1.4%
Other values (115) 216
48.8%
Common
ValueCountFrequency (%)
) 19
20.9%
( 19
20.9%
15
16.5%
2 14
15.4%
1 11
12.1%
3 8
8.8%
, 3
 
3.3%
. 1
 
1.1%
4 1
 
1.1%
Latin
ValueCountFrequency (%)
S 2
66.7%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
82.5%
ASCII 94
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 49
 
11.1%
관 32
 
7.2%
소 27
 
6.1%
연 26
 
5.9%
공 26
 
5.9%
홀 24
 
5.4%
극 21
 
4.7%
스 9
 
2.0%
터 7
 
1.6%
오 6
 
1.4%
Other values (115) 216
48.8%
ASCII
ValueCountFrequency (%)
) 19
20.2%
( 19
20.2%
15
16.0%
2 14
14.9%
1 11
11.7%
3 8
8.5%
, 3
 
3.2%
S 2
 
2.1%
M 1
 
1.1%
. 1
 
1.1%

else_pblprfr_detail_fclty_cn
Text

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:51:26.548709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length37
Mean length21.91
Min length5

Characters and Unicode

Total characters2191
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)29.0%

Sample

1st row인터파크홀,아이마켓홀,카오스홀
2nd row야외공연장,모악당,명인홀,연지홀,국제회의장 ,중정,전시장 옥상
3rd rowCJ 토월극장,리사이틀홀,콘서트홀,자유소극장,IBK챔버홀,오페라극장,신세계스퀘어 야외무대,인춘아트홀
4th row대극장,세종체임버홀,M씨어터,S씨어터,뜨락(야외공간)
5th row1관,2관 더블케이씨어터,3관 나몰라홀,4관
ValueCountFrequency (%)
1관,2관 11
 
6.0%
구 8
 
4.4%
대공연장,소공연장 7
 
3.8%
복합 6
 
3.3%
마리카3관 4
 
2.2%
가마골소극장,우리동네극장,스튜디오극장,숲의극장,성벽극장,창고극장 4
 
2.2%
오씨어터),후암스튜디오 4
 
2.2%
1관(후암씨어터,구 4
 
2.2%
마리카2관),후암스테이지 4
 
2.2%
아트홀 4
 
2.2%
Other values (76) 127
69.4%
2023-12-10T18:51:27.263519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 253
 
11.5%
장 164
 
7.5%
관 102
 
4.7%
극 87
 
4.0%
83
 
3.8%
홀 69
 
3.1%
연 69
 
3.1%
공 63
 
2.9%
) 59
 
2.7%
( 59
 
2.7%
Other values (229) 1183
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
72.5%
Other Punctuation 256
 
11.7%
Decimal Number 117
 
5.3%
Space Separator 83
 
3.8%
Close Punctuation 59
 
2.7%
Open Punctuation 59
 
2.7%
Uppercase Letter 27
 
1.2%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 164
 
10.3%
관 102
 
6.4%
극 87
 
5.5%
홀 69
 
4.3%
연 69
 
4.3%
공 63
 
4.0%
소 43
 
2.7%
대 41
 
2.6%
스 34
 
2.1%
오 26
 
1.6%
Other values (202) 890
56.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
25.9%
M 6
22.2%
K 4
14.8%
O 2
 
7.4%
J 1
 
3.7%
C 1
 
3.7%
A 1
 
3.7%
I 1
 
3.7%
E 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 46
39.3%
2 38
32.5%
3 22
18.8%
4 6
 
5.1%
6 2
 
1.7%
8 2
 
1.7%
5 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 253
98.8%
# 2
 
0.8%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
72.5%
Common 576
 
26.3%
Latin 27
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 164
 
10.3%
관 102
 
6.4%
극 87
 
5.5%
홀 69
 
4.3%
연 69
 
4.3%
공 63
 
4.0%
소 43
 
2.7%
대 41
 
2.6%
스 34
 
2.1%
오 26
 
1.6%
Other values (202) 890
56.0%
Common
ValueCountFrequency (%)
, 253
43.9%
83
 
14.4%
) 59
 
10.2%
( 59
 
10.2%
1 46
 
8.0%
2 38
 
6.6%
3 22
 
3.8%
4 6
 
1.0%
# 2
 
0.3%
6 2
 
0.3%
Other values (5) 6
 
1.0%
Latin
ValueCountFrequency (%)
S 7
25.9%
M 6
22.2%
K 4
14.8%
O 2
 
7.4%
J 1
 
3.7%
C 1
 
3.7%
A 1
 
3.7%
I 1
 
3.7%
E 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
72.5%
ASCII 603
 
27.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 253
42.0%
83
 
13.8%
) 59
 
9.8%
( 59
 
9.8%
1 46
 
7.6%
2 38
 
6.3%
3 22
 
3.6%
S 7
 
1.2%
4 6
 
1.0%
M 6
 
1.0%
Other values (17) 24
 
4.0%
Hangul
ValueCountFrequency (%)
장 164
 
10.3%
관 102
 
6.4%
극 87
 
5.5%
홀 69
 
4.3%
연 69
 
4.3%
공 63
 
4.0%
소 43
 
2.7%
대 41
 
2.6%
스 34
 
2.1%
오 26
 
1.6%
Other values (202) 890
56.0%

fclty_url
Text

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:51:27.651318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length49
Mean length27.47
Min length1

Characters and Unicode

Total characters2747
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)36.0%

Sample

1st rowhttp://www.bluesquare.kr/
2nd rowhttp://www.sori21.co.kr/
3rd rowhttp://www.sac.or.kr/
4th rowhttp://www.sejongpac.or.kr/
5th rowhttp://blog.naver.com/dreamartcenter
ValueCountFrequency (%)
0 15
 
15.0%
http://www.stt1986.com/stt_new/new 4
 
4.0%
http://blog.naver.com/dreamartcenter 3
 
3.0%
http://www.gp-gp.co.kr 3
 
3.0%
http://www.sori21.co.kr 3
 
3.0%
http://artcenterdyu.co.kr 3
 
3.0%
http://www.jtnarthall.com 3
 
3.0%
http://www.dscf.or.kr/pages/main/index.html 2
 
2.0%
http://www.ydart.co.kr 2
 
2.0%
http://www.gccf.or.kr/bbs/page.php?hid=d_1_2 2
 
2.0%
Other values (48) 60
60.0%
2023-12-10T18:51:28.378001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 294
 
10.7%
t 275
 
10.0%
. 246
 
9.0%
w 185
 
6.7%
r 167
 
6.1%
o 141
 
5.1%
h 121
 
4.4%
p 119
 
4.3%
a 117
 
4.3%
e 106
 
3.9%
Other values (40) 976
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1951
71.0%
Other Punctuation 634
 
23.1%
Decimal Number 117
 
4.3%
Uppercase Letter 22
 
0.8%
Connector Punctuation 12
 
0.4%
Math Symbol 8
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 275
14.1%
w 185
 
9.5%
r 167
 
8.6%
o 141
 
7.2%
h 121
 
6.2%
p 119
 
6.1%
a 117
 
6.0%
e 106
 
5.4%
c 104
 
5.3%
n 102
 
5.2%
Other values (15) 514
26.3%
Decimal Number
ValueCountFrequency (%)
0 69
59.0%
1 14
 
12.0%
4 8
 
6.8%
6 7
 
6.0%
2 6
 
5.1%
9 4
 
3.4%
8 4
 
3.4%
5 2
 
1.7%
3 2
 
1.7%
7 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 6
27.3%
D 4
18.2%
I 3
13.6%
H 2
 
9.1%
P 2
 
9.1%
C 2
 
9.1%
O 2
 
9.1%
L 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 294
46.4%
. 246
38.8%
: 86
 
13.6%
? 8
 
1.3%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Math Symbol
ValueCountFrequency (%)
= 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1973
71.8%
Common 774
 
28.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 275
13.9%
w 185
 
9.4%
r 167
 
8.5%
o 141
 
7.1%
h 121
 
6.1%
p 119
 
6.0%
a 117
 
5.9%
e 106
 
5.4%
c 104
 
5.3%
n 102
 
5.2%
Other values (23) 536
27.2%
Common
ValueCountFrequency (%)
/ 294
38.0%
. 246
31.8%
: 86
 
11.1%
0 69
 
8.9%
1 14
 
1.8%
_ 12
 
1.6%
4 8
 
1.0%
= 8
 
1.0%
? 8
 
1.0%
6 7
 
0.9%
Other values (7) 22
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 294
 
10.7%
t 275
 
10.0%
. 246
 
9.0%
w 185
 
6.7%
r 167
 
6.1%
o 141
 
5.1%
h 121
 
4.4%
p 119
 
4.3%
a 117
 
4.3%
e 106
 
3.9%
Other values (40) 976
35.5%

area_nm
Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울
44 
경기
10 
부산
8 
대구
8 
경남
7 
Other values (8)
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row서울
2nd row전북
3rd row서울
4th row서울
5th row서울

Common Values

ValueCountFrequency (%)
서울 44
44.0%
경기 10
 
10.0%
부산 8
 
8.0%
대구 8
 
8.0%
경남 7
 
7.0%
경북 6
 
6.0%
전북 4
 
4.0%
인천 4
 
4.0%
충남 3
 
3.0%
강원 2
 
2.0%
Other values (3) 4
 
4.0%

Length

2023-12-10T18:51:28.631737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 44
44.0%
경기 10
 
10.0%
부산 8
 
8.0%
대구 8
 
8.0%
경남 7
 
7.0%
경북 6
 
6.0%
전북 4
 
4.0%
인천 4
 
4.0%
충남 3
 
3.0%
강원 2
 
2.0%
Other values (3) 4
 
4.0%

fclty_road_nm_addr
Text

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:51:29.120337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.59
Min length16

Characters and Unicode

Total characters2459
Distinct characters165
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)37.0%

Sample

1st row서울특별시 용산구 이태원로 294 (한남동)
2nd row전라북도 전주시 덕진구 소리로 31 (덕진동1가) 소리문화전당
3rd row서울특별시 서초구 남부순환로 2406 (서초동)
4th row서울특별시 종로구 세종대로 175 (세종로)
5th row서울특별시 종로구 동숭길 123 (동숭동) 드림아트센터
ValueCountFrequency (%)
서울특별시 44
 
8.5%
종로구 31
 
6.0%
동숭동 15
 
2.9%
경기도 10
 
1.9%
대학로12길 9
 
1.7%
중구 9
 
1.7%
부산광역시 8
 
1.5%
대구광역시 8
 
1.5%
경상남도 7
 
1.3%
경상북도 6
 
1.2%
Other values (221) 373
71.7%
2023-12-10T18:51:29.969043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
 
17.1%
로 117
 
4.8%
동 116
 
4.7%
시 96
 
3.9%
구 90
 
3.7%
( 82
 
3.3%
) 82
 
3.3%
1 64
 
2.6%
서 62
 
2.5%
3 51
 
2.1%
Other values (155) 1279
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1543
62.7%
Space Separator 420
 
17.1%
Decimal Number 326
 
13.3%
Open Punctuation 82
 
3.3%
Close Punctuation 82
 
3.3%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 117
 
7.6%
동 116
 
7.5%
시 96
 
6.2%
구 90
 
5.8%
서 62
 
4.0%
울 47
 
3.0%
길 44
 
2.9%
별 44
 
2.9%
특 44
 
2.9%
대 36
 
2.3%
Other values (141) 847
54.9%
Decimal Number
ValueCountFrequency (%)
1 64
19.6%
3 51
15.6%
2 51
15.6%
4 40
12.3%
8 24
 
7.4%
6 23
 
7.1%
7 22
 
6.7%
0 21
 
6.4%
9 16
 
4.9%
5 14
 
4.3%
Space Separator
ValueCountFrequency (%)
420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1543
62.7%
Common 916
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 117
 
7.6%
동 116
 
7.5%
시 96
 
6.2%
구 90
 
5.8%
서 62
 
4.0%
울 47
 
3.0%
길 44
 
2.9%
별 44
 
2.9%
특 44
 
2.9%
대 36
 
2.3%
Other values (141) 847
54.9%
Common
ValueCountFrequency (%)
420
45.9%
( 82
 
9.0%
) 82
 
9.0%
1 64
 
7.0%
3 51
 
5.6%
2 51
 
5.6%
4 40
 
4.4%
8 24
 
2.6%
6 23
 
2.5%
7 22
 
2.4%
Other values (4) 57
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1543
62.7%
ASCII 916
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
45.9%
( 82
 
9.0%
) 82
 
9.0%
1 64
 
7.0%
3 51
 
5.6%
2 51
 
5.6%
4 40
 
4.4%
8 24
 
2.6%
6 23
 
2.5%
7 22
 
2.4%
Other values (4) 57
 
6.2%
Hangul
ValueCountFrequency (%)
로 117
 
7.6%
동 116
 
7.5%
시 96
 
6.2%
구 90
 
5.8%
서 62
 
4.0%
울 47
 
3.0%
길 44
 
2.9%
별 44
 
2.9%
특 44
 
2.9%
대 36
 
2.3%
Other values (141) 847
54.9%

fclty_ty_nm
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
공공(문예회관)
39 
민간(대학로)
28 
공공(기타)
13 
민간(대학로 외)
11 
국립
9 

Length

Max length9
Median length8
Mean length7.03
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간(대학로 외)
2nd row공공(문예회관)
3rd row국립
4th row공공(문예회관)
5th row민간(대학로)

Common Values

ValueCountFrequency (%)
공공(문예회관) 39
39.0%
민간(대학로) 28
28.0%
공공(기타) 13
 
13.0%
민간(대학로 외) 11
 
11.0%
국립 9
 
9.0%

Length

2023-12-10T18:51:30.263987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:30.518328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공(문예회관 39
35.1%
민간(대학로 39
35.1%
공공(기타 13
 
11.7%
외 11
 
9.9%
국립 9
 
8.1%

opnng_year
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.07
Minimum1946
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:30.927188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1946
5-th percentile1985.6
Q11999
median2007
Q32014
95-th percentile2017
Maximum2019
Range73
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.469198
Coefficient of variation (CV)0.0067209219
Kurtosis6.52964
Mean2004.07
Median Absolute Deviation (MAD)7.5
Skewness-2.1968823
Sum200407
Variance181.41929
MonotonicityNot monotonic
2023-12-10T18:51:31.299452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2016 10
 
10.0%
2009 10
 
10.0%
1999 7
 
7.0%
2004 7
 
7.0%
2007 6
 
6.0%
2001 6
 
6.0%
2011 5
 
5.0%
2015 5
 
5.0%
2017 5
 
5.0%
2013 4
 
4.0%
Other values (18) 35
35.0%
ValueCountFrequency (%)
1946 1
 
1.0%
1951 2
2.0%
1975 1
 
1.0%
1978 1
 
1.0%
1986 1
 
1.0%
1988 2
2.0%
1990 3
3.0%
1991 3
3.0%
1993 2
2.0%
1995 1
 
1.0%
ValueCountFrequency (%)
2019 2
 
2.0%
2017 5
5.0%
2016 10
10.0%
2015 5
5.0%
2014 4
 
4.0%
2013 4
 
4.0%
2011 5
5.0%
2010 4
 
4.0%
2009 10
10.0%
2007 6
6.0%

nineteen_year_seat_co
Real number (ℝ)

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.54
Minimum106
Maximum1462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:31.657176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile119.8
Q1159.5
median208
Q3250
95-th percentile436
Maximum1462
Range1356
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation168.20841
Coefficient of variation (CV)0.70221428
Kurtosis30.168814
Mean239.54
Median Absolute Deviation (MAD)46.5
Skewness4.8428862
Sum23954
Variance28294.069
MonotonicityNot monotonic
2023-12-10T18:51:32.019099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 9
 
9.0%
200 7
 
7.0%
150 5
 
5.0%
130 4
 
4.0%
210 4
 
4.0%
250 4
 
4.0%
120 3
 
3.0%
230 3
 
3.0%
248 2
 
2.0%
167 2
 
2.0%
Other values (50) 57
57.0%
ValueCountFrequency (%)
106 1
 
1.0%
110 1
 
1.0%
112 1
 
1.0%
115 1
 
1.0%
116 1
 
1.0%
120 3
3.0%
122 1
 
1.0%
124 1
 
1.0%
130 4
4.0%
135 1
 
1.0%
ValueCountFrequency (%)
1462 1
 
1.0%
884 1
 
1.0%
710 1
 
1.0%
604 1
 
1.0%
455 1
 
1.0%
435 1
 
1.0%
414 1
 
1.0%
336 1
 
1.0%
300 9
9.0%
296 1
 
1.0%

nineteen_year_pblprfr_cas_co
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89
Minimum0
Maximum8
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:32.343116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3845832
Coefficient of variation (CV)1.5557115
Kurtosis11.058591
Mean0.89
Median Absolute Deviation (MAD)1
Skewness2.9735577
Sum89
Variance1.9170707
MonotonicityNot monotonic
2023-12-10T18:51:32.734861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 48
48.0%
1 36
36.0%
2 8
 
8.0%
3 4
 
4.0%
8 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
4 1
 
1.0%
ValueCountFrequency (%)
0 48
48.0%
1 36
36.0%
2 8
 
8.0%
3 4
 
4.0%
4 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
4 1
 
1.0%
3 4
 
4.0%
2 8
 
8.0%
1 36
36.0%
0 48
48.0%

nineteen_year_rasng_cutin_co
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62
Minimum0
Maximum8
Zeros66
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:33.049261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2853487
Coefficient of variation (CV)2.073143
Kurtosis16.279795
Mean0.62
Median Absolute Deviation (MAD)0
Skewness3.6303281
Sum62
Variance1.6521212
MonotonicityNot monotonic
2023-12-10T18:51:33.343258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 66
66.0%
1 21
 
21.0%
2 9
 
9.0%
4 2
 
2.0%
8 1
 
1.0%
7 1
 
1.0%
ValueCountFrequency (%)
0 66
66.0%
1 21
 
21.0%
2 9
 
9.0%
4 2
 
2.0%
7 1
 
1.0%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
7 1
 
1.0%
4 2
 
2.0%
2 9
 
9.0%
1 21
 
21.0%
0 66
66.0%

nineteen_year_stgng_co
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8
Minimum0
Maximum74
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:33.601520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile38.05
Maximum74
Range74
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.674425
Coefficient of variation (CV)1.7531314
Kurtosis5.7795206
Mean7.8
Median Absolute Deviation (MAD)1
Skewness2.2862958
Sum780
Variance186.9899
MonotonicityNot monotonic
2023-12-10T18:51:33.830739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 48
48.0%
2 7
 
7.0%
1 5
 
5.0%
4 5
 
5.0%
17 4
 
4.0%
3 4
 
4.0%
7 3
 
3.0%
11 2
 
2.0%
9 2
 
2.0%
30 2
 
2.0%
Other values (18) 18
 
18.0%
ValueCountFrequency (%)
0 48
48.0%
1 5
 
5.0%
2 7
 
7.0%
3 4
 
4.0%
4 5
 
5.0%
5 1
 
1.0%
6 1
 
1.0%
7 3
 
3.0%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
74 1
1.0%
49 1
1.0%
42 1
1.0%
41 1
1.0%
39 1
1.0%
38 1
1.0%
36 1
1.0%
34 1
1.0%
32 1
1.0%
30 2
2.0%

nineteen_year_tot_advantk_co
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466.39
Minimum-2
Maximum7622
Zeros49
Zeros (%)49.0%
Negative1
Negative (%)1.0%
Memory size1.0 KiB
2023-12-10T18:51:34.129402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median1
Q3322.5
95-th percentile2655.05
Maximum7622
Range7624
Interquartile range (IQR)322.5

Descriptive statistics

Standard deviation1200.7241
Coefficient of variation (CV)2.5745065
Kurtosis16.948828
Mean466.39
Median Absolute Deviation (MAD)2
Skewness3.934385
Sum46639
Variance1441738.3
MonotonicityNot monotonic
2023-12-10T18:51:34.392707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
49.0%
215 2
 
2.0%
55 1
 
1.0%
260 1
 
1.0%
99 1
 
1.0%
368 1
 
1.0%
69 1
 
1.0%
24 1
 
1.0%
436 1
 
1.0%
-2 1
 
1.0%
Other values (41) 41
41.0%
ValueCountFrequency (%)
-2 1
 
1.0%
0 49
49.0%
2 1
 
1.0%
6 1
 
1.0%
20 1
 
1.0%
24 1
 
1.0%
30 1
 
1.0%
54 1
 
1.0%
55 1
 
1.0%
63 1
 
1.0%
ValueCountFrequency (%)
7622 1
1.0%
4970 1
1.0%
4913 1
1.0%
4895 1
1.0%
2656 1
1.0%
2655 1
1.0%
2530 1
1.0%
1963 1
1.0%
1451 1
1.0%
1056 1
1.0%

twenty_year_seat_co
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.09
Minimum0
Maximum300
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:34.697386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1130
median200
Q3239.75
95-th percentile300
Maximum300
Range300
Interquartile range (IQR)109.75

Descriptive statistics

Standard deviation86.180114
Coefficient of variation (CV)0.48940947
Kurtosis-0.056881445
Mean176.09
Median Absolute Deviation (MAD)50
Skewness-0.74299021
Sum17609
Variance7427.012
MonotonicityNot monotonic
2023-12-10T18:51:34.966696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.0%
300 8
 
8.0%
200 7
 
7.0%
150 5
 
5.0%
130 4
 
4.0%
250 4
 
4.0%
230 3
 
3.0%
210 3
 
3.0%
248 2
 
2.0%
194 2
 
2.0%
Other values (42) 49
49.0%
ValueCountFrequency (%)
0 13
13.0%
106 1
 
1.0%
110 1
 
1.0%
112 1
 
1.0%
115 1
 
1.0%
116 1
 
1.0%
120 2
 
2.0%
122 1
 
1.0%
124 1
 
1.0%
130 4
 
4.0%
ValueCountFrequency (%)
300 8
8.0%
296 1
 
1.0%
292 1
 
1.0%
276 1
 
1.0%
272 1
 
1.0%
266 1
 
1.0%
260 1
 
1.0%
255 1
 
1.0%
250 4
4.0%
249 1
 
1.0%

twenty_year_pblprfr_cas_co
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.35
Minimum0
Maximum13
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:35.202602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2802401
Coefficient of variation (CV)1.6890667
Kurtosis13.393876
Mean1.35
Median Absolute Deviation (MAD)1
Skewness3.3333014
Sum135
Variance5.1994949
MonotonicityNot monotonic
2023-12-10T18:51:35.408976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 45
45.0%
1 26
26.0%
2 15
 
15.0%
3 6
 
6.0%
5 3
 
3.0%
8 2
 
2.0%
13 2
 
2.0%
4 1
 
1.0%
ValueCountFrequency (%)
0 45
45.0%
1 26
26.0%
2 15
 
15.0%
3 6
 
6.0%
4 1
 
1.0%
5 3
 
3.0%
8 2
 
2.0%
13 2
 
2.0%
ValueCountFrequency (%)
13 2
 
2.0%
8 2
 
2.0%
5 3
 
3.0%
4 1
 
1.0%
3 6
 
6.0%
2 15
 
15.0%
1 26
26.0%
0 45
45.0%

twenty_year_rasng_cutin_co
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99
Minimum0
Maximum13
Zeros62
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:35.647034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1531982
Coefficient of variation (CV)2.1749477
Kurtosis16.357075
Mean0.99
Median Absolute Deviation (MAD)0
Skewness3.7425457
Sum99
Variance4.6362626
MonotonicityNot monotonic
2023-12-10T18:51:35.943445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 62
62.0%
1 19
 
19.0%
2 9
 
9.0%
5 3
 
3.0%
3 2
 
2.0%
4 2
 
2.0%
8 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
0 62
62.0%
1 19
 
19.0%
2 9
 
9.0%
3 2
 
2.0%
4 2
 
2.0%
5 3
 
3.0%
8 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
13 1
 
1.0%
12 1
 
1.0%
8 1
 
1.0%
5 3
 
3.0%
4 2
 
2.0%
3 2
 
2.0%
2 9
 
9.0%
1 19
 
19.0%
0 62
62.0%

twenty_year_stgng_co
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.88
Minimum0
Maximum104
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:36.207947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile66.05
Maximum104
Range104
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.170724
Coefficient of variation (CV)1.5973144
Kurtosis4.2152992
Mean13.88
Median Absolute Deviation (MAD)2
Skewness2.0424093
Sum1388
Variance491.54101
MonotonicityNot monotonic
2023-12-10T18:51:36.467371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 45
45.0%
2 5
 
5.0%
8 4
 
4.0%
31 4
 
4.0%
40 3
 
3.0%
3 3
 
3.0%
6 3
 
3.0%
35 3
 
3.0%
9 3
 
3.0%
24 2
 
2.0%
Other values (21) 25
25.0%
ValueCountFrequency (%)
0 45
45.0%
1 2
 
2.0%
2 5
 
5.0%
3 3
 
3.0%
4 1
 
1.0%
5 2
 
2.0%
6 3
 
3.0%
7 1
 
1.0%
8 4
 
4.0%
9 3
 
3.0%
ValueCountFrequency (%)
104 1
 
1.0%
94 1
 
1.0%
83 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
60 1
 
1.0%
45 1
 
1.0%
40 3
3.0%
39 1
 
1.0%

twenty_year_tot_advantk_co
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean887.99
Minimum0
Maximum11876
Zeros47
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:36.917382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q3805.25
95-th percentile4526.15
Maximum11876
Range11876
Interquartile range (IQR)805.25

Descriptive statistics

Standard deviation1984.26
Coefficient of variation (CV)2.2345522
Kurtosis14.468788
Mean887.99
Median Absolute Deviation (MAD)12.5
Skewness3.5693984
Sum88799
Variance3937287.6
MonotonicityNot monotonic
2023-12-10T18:51:37.217468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
47.0%
114 2
 
2.0%
336 1
 
1.0%
1222 1
 
1.0%
3340 1
 
1.0%
2211 1
 
1.0%
29 1
 
1.0%
521 1
 
1.0%
621 1
 
1.0%
1029 1
 
1.0%
Other values (43) 43
43.0%
ValueCountFrequency (%)
0 47
47.0%
2 1
 
1.0%
7 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
18 1
 
1.0%
29 1
 
1.0%
38 1
 
1.0%
40 1
 
1.0%
46 1
 
1.0%
ValueCountFrequency (%)
11876 1
1.0%
10180 1
1.0%
7601 1
1.0%
6007 1
1.0%
4776 1
1.0%
4513 1
1.0%
3679 1
1.0%
3467 1
1.0%
3340 1
1.0%
3132 1
1.0%

pblprfr_cas_co_irds_co
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46
Minimum-5
Maximum13
Zeros50
Zeros (%)50.0%
Negative19
Negative (%)19.0%
Memory size1.0 KiB
2023-12-10T18:51:37.443415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile-2
Q10
median0
Q31
95-th percentile3.05
Maximum13
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2492198
Coefficient of variation (CV)4.8896084
Kurtosis15.783375
Mean0.46
Median Absolute Deviation (MAD)0.5
Skewness3.1242782
Sum46
Variance5.0589899
MonotonicityNot monotonic
2023-12-10T18:51:37.696110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 50
50.0%
1 15
 
15.0%
-1 11
 
11.0%
2 9
 
9.0%
-2 5
 
5.0%
-3 2
 
2.0%
3 2
 
2.0%
5 2
 
2.0%
4 1
 
1.0%
12 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
-5 1
 
1.0%
-3 2
 
2.0%
-2 5
 
5.0%
-1 11
 
11.0%
0 50
50.0%
1 15
 
15.0%
2 9
 
9.0%
3 2
 
2.0%
4 1
 
1.0%
5 2
 
2.0%
ValueCountFrequency (%)
13 1
 
1.0%
12 1
 
1.0%
5 2
 
2.0%
4 1
 
1.0%
3 2
 
2.0%
2 9
 
9.0%
1 15
 
15.0%
0 50
50.0%
-1 11
 
11.0%
-2 5
 
5.0%

rasng_cutin_co_irds_co
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37
Minimum-4
Maximum13
Zeros51
Zeros (%)51.0%
Negative20
Negative (%)20.0%
Memory size1.0 KiB
2023-12-10T18:51:38.284918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-2
Q10
median0
Q31
95-th percentile3.05
Maximum13
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1256253
Coefficient of variation (CV)5.7449332
Kurtosis17.865598
Mean0.37
Median Absolute Deviation (MAD)0
Skewness3.4486267
Sum37
Variance4.5182828
MonotonicityNot monotonic
2023-12-10T18:51:38.513490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 51
51.0%
1 17
 
17.0%
-1 11
 
11.0%
-2 7
 
7.0%
2 6
 
6.0%
4 2
 
2.0%
5 1
 
1.0%
11 1
 
1.0%
3 1
 
1.0%
-4 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
-4 1
 
1.0%
-3 1
 
1.0%
-2 7
 
7.0%
-1 11
 
11.0%
0 51
51.0%
1 17
 
17.0%
2 6
 
6.0%
3 1
 
1.0%
4 2
 
2.0%
5 1
 
1.0%
ValueCountFrequency (%)
13 1
 
1.0%
11 1
 
1.0%
5 1
 
1.0%
4 2
 
2.0%
3 1
 
1.0%
2 6
 
6.0%
1 17
 
17.0%
0 51
51.0%
-1 11
 
11.0%
-2 7
 
7.0%

stgng_co_irds_co
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.08
Minimum-24
Maximum79
Zeros33
Zeros (%)33.0%
Negative25
Negative (%)25.0%
Memory size1.0 KiB
2023-12-10T18:51:38.752974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-24
5-th percentile-12.05
Q1-0.25
median0
Q38
95-th percentile43.1
Maximum79
Range103
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation16.694329
Coefficient of variation (CV)2.7457777
Kurtosis5.4878861
Mean6.08
Median Absolute Deviation (MAD)2
Skewness2.0757329
Sum608
Variance278.70061
MonotonicityNot monotonic
2023-12-10T18:51:38.998677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 33
33.0%
-2 6
 
6.0%
-1 6
 
6.0%
2 5
 
5.0%
8 4
 
4.0%
5 3
 
3.0%
3 3
 
3.0%
9 3
 
3.0%
24 3
 
3.0%
-3 3
 
3.0%
Other values (27) 31
31.0%
ValueCountFrequency (%)
-24 1
 
1.0%
-23 1
 
1.0%
-17 1
 
1.0%
-15 1
 
1.0%
-13 1
 
1.0%
-12 1
 
1.0%
-9 2
2.0%
-6 1
 
1.0%
-4 1
 
1.0%
-3 3
3.0%
ValueCountFrequency (%)
79 1
 
1.0%
66 1
 
1.0%
61 1
 
1.0%
45 2
2.0%
43 1
 
1.0%
40 1
 
1.0%
35 1
 
1.0%
28 1
 
1.0%
25 1
 
1.0%
24 3
3.0%

tot_advantk_co_irds_co
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean421.6
Minimum-2846
Maximum11135
Zeros33
Zeros (%)33.0%
Negative27
Negative (%)27.0%
Memory size1.0 KiB
2023-12-10T18:51:39.227747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2846
5-th percentile-563.9
Q1-6.75
median0
Q3387.75
95-th percentile2917.3
Maximum11135
Range13981
Interquartile range (IQR)394.5

Descriptive statistics

Standard deviation1718.7373
Coefficient of variation (CV)4.0767014
Kurtosis19.538954
Mean421.6
Median Absolute Deviation (MAD)93.5
Skewness3.8115034
Sum42160
Variance2954057.9
MonotonicityNot monotonic
2023-12-10T18:51:39.476605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
33.0%
12 2
 
2.0%
-22 1
 
1.0%
-15 1
 
1.0%
-390 1
 
1.0%
2 1
 
1.0%
-436 1
 
1.0%
1163 1
 
1.0%
-29 1
 
1.0%
-2846 1
 
1.0%
Other values (57) 57
57.0%
ValueCountFrequency (%)
-2846 1
1.0%
-2546 1
1.0%
-2154 1
1.0%
-1216 1
1.0%
-1056 1
1.0%
-538 1
1.0%
-491 1
1.0%
-457 1
1.0%
-436 1
1.0%
-390 1
1.0%
ValueCountFrequency (%)
11135 1
1.0%
8217 1
1.0%
6150 1
1.0%
3352 1
1.0%
3132 1
1.0%
2906 1
1.0%
2724 1
1.0%
2042 1
1.0%
1438 1
1.0%
1394 1
1.0%

pblprfr_cas_co_vartion_rt
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.297619
Minimum0
Maximum1300
Zeros61
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:39.736122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3100
95-th percentile300
Maximum1300
Range1300
Interquartile range (IQR)100

Descriptive statistics

Standard deviation157.64813
Coefficient of variation (CV)2.2425814
Kurtosis37.672576
Mean70.297619
Median Absolute Deviation (MAD)0
Skewness5.301119
Sum7029.7619
Variance24852.933
MonotonicityNot monotonic
2023-12-10T18:51:40.072202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 61
61.0%
100.0 18
 
18.0%
200.0 8
 
8.0%
300.0 3
 
3.0%
50.0 3
 
3.0%
500.0 1
 
1.0%
266.66667 1
 
1.0%
1300.0 1
 
1.0%
400.0 1
 
1.0%
16.66667 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 61
61.0%
16.66667 1
 
1.0%
25.0 1
 
1.0%
50.0 3
 
3.0%
71.42857 1
 
1.0%
100.0 18
 
18.0%
200.0 8
 
8.0%
266.66667 1
 
1.0%
300.0 3
 
3.0%
400.0 1
 
1.0%
ValueCountFrequency (%)
1300.0 1
 
1.0%
500.0 1
 
1.0%
400.0 1
 
1.0%
300.0 3
 
3.0%
266.66667 1
 
1.0%
200.0 8
8.0%
100.0 18
18.0%
71.42857 1
 
1.0%
50.0 3
 
3.0%
25.0 1
 
1.0%

rasng_cutin_co_vartion_rt
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.464286
Minimum0
Maximum1200
Zeros82
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:40.254762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum1200
Range1200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation142.82472
Coefficient of variation (CV)3.5296489
Kurtosis45.307084
Mean40.464286
Median Absolute Deviation (MAD)0
Skewness6.1317469
Sum4046.4286
Variance20398.901
MonotonicityNot monotonic
2023-12-10T18:51:40.447407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 82
82.0%
100.0 5
 
5.0%
200.0 4
 
4.0%
50.0 2
 
2.0%
150.0 1
 
1.0%
500.0 1
 
1.0%
1200.0 1
 
1.0%
400.0 1
 
1.0%
300.0 1
 
1.0%
71.42857 1
 
1.0%
ValueCountFrequency (%)
0.0 82
82.0%
25.0 1
 
1.0%
50.0 2
 
2.0%
71.42857 1
 
1.0%
100.0 5
 
5.0%
150.0 1
 
1.0%
200.0 4
 
4.0%
300.0 1
 
1.0%
400.0 1
 
1.0%
500.0 1
 
1.0%
ValueCountFrequency (%)
1200.0 1
 
1.0%
500.0 1
 
1.0%
400.0 1
 
1.0%
300.0 1
 
1.0%
200.0 4
4.0%
150.0 1
 
1.0%
100.0 5
5.0%
71.42857 1
 
1.0%
50.0 2
 
2.0%
25.0 1
 
1.0%

stgng_co_vartion_rt
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.697154
Minimum0
Maximum1116.6667
Zeros61
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:40.702183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106.37255
95-th percentile360.08572
Maximum1116.6667
Range1116.6667
Interquartile range (IQR)106.37255

Descriptive statistics

Standard deviation174.569
Coefficient of variation (CV)2.0135493
Kurtosis15.752368
Mean86.697154
Median Absolute Deviation (MAD)0
Skewness3.5046814
Sum8669.7154
Variance30474.334
MonotonicityNot monotonic
2023-12-10T18:51:41.183260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 61
61.0%
75.0 2
 
2.0%
71.42857 2
 
2.0%
200.0 2
 
2.0%
100.0 1
 
1.0%
450.0 1
 
1.0%
11.76471 1
 
1.0%
228.57143 1
 
1.0%
425.0 1
 
1.0%
229.41176 1
 
1.0%
Other values (27) 27
27.0%
ValueCountFrequency (%)
0.0 61
61.0%
11.76471 1
 
1.0%
18.18182 1
 
1.0%
43.33333 1
 
1.0%
50.0 1
 
1.0%
68.29268 1
 
1.0%
71.42857 2
 
2.0%
75.0 2
 
2.0%
88.88889 1
 
1.0%
91.89189 1
 
1.0%
ValueCountFrequency (%)
1116.66667 1
1.0%
900.0 1
1.0%
450.0 1
1.0%
425.0 1
1.0%
416.0 1
1.0%
357.14286 1
1.0%
352.94118 1
1.0%
344.44444 1
1.0%
318.18182 1
1.0%
300.0 1
1.0%

tot_advantk_co_vartion_rt
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.01823
Minimum0
Maximum1730
Zeros63
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:41.492075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q392.035247
95-th percentile809.10825
Maximum1730
Range1730
Interquartile range (IQR)92.035247

Descriptive statistics

Standard deviation356.09839
Coefficient of variation (CV)2.3120534
Kurtosis9.3853277
Mean154.01823
Median Absolute Deviation (MAD)0
Skewness3.0478707
Sum15401.823
Variance126806.06
MonotonicityNot monotonic
2023-12-10T18:51:41.840397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 63
63.0%
57.97101 1
 
1.0%
17.48466 1
 
1.0%
769.58525 1
 
1.0%
1308.28402 1
 
1.0%
148.01136 1
 
1.0%
238.84615 1
 
1.0%
1039.39394 1
 
1.0%
69.29348 1
 
1.0%
8.33333 1
 
1.0%
Other values (28) 28
28.0%
ValueCountFrequency (%)
0.0 63
63.0%
8.33333 1
 
1.0%
17.48466 1
 
1.0%
18.9006 1
 
1.0%
33.57664 1
 
1.0%
48.1783 1
 
1.0%
57.97101 1
 
1.0%
59.29339 1
 
1.0%
62.66072 1
 
1.0%
69.29348 1
 
1.0%
ValueCountFrequency (%)
1730.0 1
1.0%
1660.0 1
1.0%
1602.69906 1
1.0%
1308.28402 1
1.0%
1039.39394 1
1.0%
796.98795 1
1.0%
769.58525 1
1.0%
734.48276 1
1.0%
671.42857 1
1.0%
523.84562 1
1.0%

coronic_co
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
98 
42
 
1
129
 
1

Length

Max length3
Median length1
Mean length1.03
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0
2nd row42
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 98
98.0%
42 1
 
1.0%
129 1
 
1.0%

Length

2023-12-10T18:51:42.116584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:42.326925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
98.0%
42 1
 
1.0%
129 1
 
1.0%

Sample

sm_mtpblprfr_fclty_nmpblprfr_detail_fclty_nmelse_pblprfr_detail_fclty_cnfclty_urlarea_nmfclty_road_nm_addrfclty_ty_nmopnng_yearnineteen_year_seat_conineteen_year_pblprfr_cas_conineteen_year_rasng_cutin_conineteen_year_stgng_conineteen_year_tot_advantk_cotwenty_year_seat_cotwenty_year_pblprfr_cas_cotwenty_year_rasng_cutin_cotwenty_year_stgng_cotwenty_year_tot_advantk_copblprfr_cas_co_irds_corasng_cutin_co_irds_costgng_co_irds_cotot_advantk_co_irds_copblprfr_cas_co_vartion_rtrasng_cutin_co_vartion_rtstgng_co_vartion_rttot_advantk_co_vartion_rtcoronic_co
01블루스퀘어카오스홀인터파크홀,아이마켓홀,카오스홀http://www.bluesquare.kr/서울서울특별시 용산구 이태원로 294 (한남동)민간(대학로 외)20112660000266000000000.00.00.00.00
111한국소리문화의전당명인홀야외공연장,모악당,명인홀,연지홀,국제회의장 ,중정,전시장 옥상http://www.sori21.co.kr/전북전라북도 전주시 덕진구 소리로 31 (덕진동1가) 소리문화전당공공(문예회관)20012060000206000000000.00.00.00.042
21예술의전당인춘아트홀CJ 토월극장,리사이틀홀,콘서트홀,자유소극장,IBK챔버홀,오페라극장,신세계스퀘어 야외무대,인춘아트홀http://www.sac.or.kr/서울서울특별시 서초구 남부순환로 2406 (서초동)국립19881300000130000000000.00.00.00.00
31세종문화회관S씨어터대극장,세종체임버홀,M씨어터,S씨어터,뜨락(야외공간)http://www.sejongpac.or.kr/서울서울특별시 종로구 세종대로 175 (세종로)공공(문예회관)1978300104276223005530477645-12-2846500.00.071.4285762.660720
41대학로 드림아트센터2관 더블케이씨어터1관,2관 더블케이씨어터,3관 나몰라홀,4관http://blog.naver.com/dreamartcenter서울서울특별시 종로구 동숭길 123 (동숭동) 드림아트센터민간(대학로)20162101132489521021403679108-1216200.0100.0125.075.158320
51대학로 드림아트센터4관1관,2관 더블케이씨어터,3관 나몰라홀,4관http://blog.naver.com/dreamartcenter서울서울특별시 종로구 동숭길 123 (동숭동) 드림아트센터민간(대학로)201620810257412081010411876007911135100.00.0416.01602.699060
61대학로 드림아트센터3관 나몰라홀1관,2관 더블케이씨어터,3관 나몰라홀,4관http://blog.naver.com/dreamartcenter서울서울특별시 종로구 동숭길 123 (동숭동) 드림아트센터민간(대학로)201621032242152100000-3-2-24-2150.00.00.00.00
711해운대문화회관고운홀해운홀,고운홀http://hcc.haeundae.go.kr/부산부산광역시 해운대구 양운로 97 (좌동)공공(문예회관)2007130112013011200000100.0100.0100.00.0129
81대학로아트원씨어터2관1관,2관,3관0서울서울특별시 종로구 대학로12길 83 (동숭동)민간(대학로)2009250103625302502127203911-9-491200.00.075.080.592890
91대학로아트원씨어터3관1관,2관,3관0서울서울특별시 종로구 대학로12길 83 (동숭동)민간(대학로)20091580000158322463632246360.00.00.00.00
sm_mtpblprfr_fclty_nmpblprfr_detail_fclty_nmelse_pblprfr_detail_fclty_cnfclty_urlarea_nmfclty_road_nm_addrfclty_ty_nmopnng_yearnineteen_year_seat_conineteen_year_pblprfr_cas_conineteen_year_rasng_cutin_conineteen_year_stgng_conineteen_year_tot_advantk_cotwenty_year_seat_cotwenty_year_pblprfr_cas_cotwenty_year_rasng_cutin_cotwenty_year_stgng_cotwenty_year_tot_advantk_copblprfr_cas_co_irds_corasng_cutin_co_irds_costgng_co_irds_cotot_advantk_co_irds_copblprfr_cas_co_vartion_rtrasng_cutin_co_vartion_rtstgng_co_vartion_rttot_advantk_co_vartion_rtcoronic_co
901동래문화회관소극장대극장,소극장,야외공연장http://www.dongnae.go.kr/culture/index.dongnae?menuCd=DOM_000000605001000000부산부산광역시 동래구 문화로 80 (명륜동)공공(문예회관)19992020000202000000000.00.00.00.00
911동래문화회관야외공연장대극장,소극장,야외공연장http://www.dongnae.go.kr/culture/index.dongnae?menuCd=DOM_000000605001000000부산부산광역시 동래구 문화로 80 (명륜동)공공(문예회관)19991500000150000000000.00.00.00.00
921국립공주박물관강당강당,야외무대http://gongju.museum.go.kr/html/kr/충남충청남도 공주시 관광단지길 34 (웅진동)국립1946200112195200224716112521200.0200.0200.0367.179490
931을숙도문화회관소공연장대공연장,소공연장http://www.saha.go.kr/eulsukdo/contents.do?mId=0103000000부산부산광역시 사하구 낙동남로1233번길 25 (하단동)공공(문예회관)200224244430242113498-3-3-146825.025.075.01660.00
941아트플러스씨어터2관1관,2관http://artplustheater.alltheway.kr/대구대구광역시 중구 동성로3길 83 (공평동)민간(대학로 외)20111351111166135103513230-1241157100.00.0318.18182796.987950
951아트플러스씨어터1관1관,2관http://artplustheater.alltheway.kr/대구대구광역시 중구 동성로3길 83 (공평동)민간(대학로 외)201112211121220000-1-1-1-20.00.00.00.00
961노원문화예술회관소공연장대공연장,소공연장http://www.nowonart.kr/서울서울특별시 노원구 중계로 181 (중계동)공공(문예회관)2004292111542920000-1-1-1-540.00.00.00.00
971양천문화회관해바라기홀대극장,해누리홀,해바라기홀http://www.yangcheon.go.kr/art/art/main.do서울서울특별시 양천구 목동서로 367 (신정동)공공(기타)19982440000244000000000.00.00.00.00
981서울주문화센터대공연장다목적실,대공연장https://wucc.or.kr/울산울산광역시 울주군 언양읍 언양로 40-7공공(기타)201933611213800000-1-1-2-1380.00.00.00.00
991복사골문화센터판타지아공연장아트홀,판타지아공연장http://www.bcf.or.kr/coro/conc/conctour/concerttourList3.act경기경기도 부천시 장말로 107 (상동)공공(기타)199818111413718111646002-91100.0100.0150.033.576640