Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells137
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory93.3 B

Variable types

Categorical5
Unsupported1
Numeric2
Text3

Alerts

theat_nm is highly overall correlated with pblprfr_begin_de and 5 other fieldsHigh correlation
place_se is highly overall correlated with arko_theat_cd_nm and 1 other fieldsHigh correlation
arko_theat_cd_nm is highly overall correlated with place_se and 1 other fieldsHigh correlation
pblprfr_begin_de is highly overall correlated with pblprfr_end_de and 3 other fieldsHigh correlation
pblprfr_end_de is highly overall correlated with pblprfr_begin_de and 3 other fieldsHigh correlation
yy is highly overall correlated with pblprfr_begin_de and 3 other fieldsHigh correlation
realm_cl is highly overall correlated with pblprfr_begin_de and 3 other fieldsHigh correlation
yy is highly imbalanced (79.3%)Imbalance
ordr_dc has 100 (100.0%) missing valuesMissing
rprsntv_nm has 37 (37.0%) missing valuesMissing
ordr_dc is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:58:37.964828
Analysis finished2023-12-10 09:58:41.029313
Duration3.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

place_se
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AART
52 
UART
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUART
2nd rowAART
3rd rowAART
4th rowUART
5th rowAART

Common Values

ValueCountFrequency (%)
AART 52
52.0%
UART 48
48.0%

Length

2023-12-10T18:58:41.157147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:41.348271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
aart 52
52.0%
uart 48
48.0%

arko_theat_cd_nm
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아르코예술극장
52 
대학로예술극장
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대학로예술극장
2nd row아르코예술극장
3rd row아르코예술극장
4th row대학로예술극장
5th row아르코예술극장

Common Values

ValueCountFrequency (%)
아르코예술극장 52
52.0%
대학로예술극장 48
48.0%

Length

2023-12-10T18:58:41.585730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:41.834534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아르코예술극장 52
52.0%
대학로예술극장 48
48.0%

yy
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021
94 
2020
 
3
2009
 
2
2012
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2021
2nd row2009
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 94
94.0%
2020 3
 
3.0%
2009 2
 
2.0%
2012 1
 
1.0%

Length

2023-12-10T18:58:42.103275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:42.408282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 94
94.0%
2020 3
 
3.0%
2009 2
 
2.0%
2012 1
 
1.0%

theat_nm
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아르코예술극장 대극장
29 
대학로예술극장 대극장
25 
아르코예술극장 소극장
23 
대학로예술극장 소극장
22 
대학로예술극장 3관
 
1

Length

Max length11
Median length11
Mean length10.99
Min length10

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row대학로예술극장 대극장
2nd row아르코예술극장 소극장
3rd row아르코예술극장 대극장
4th row대학로예술극장 대극장
5th row아르코예술극장 소극장

Common Values

ValueCountFrequency (%)
아르코예술극장 대극장 29
29.0%
대학로예술극장 대극장 25
25.0%
아르코예술극장 소극장 23
23.0%
대학로예술극장 소극장 22
22.0%
대학로예술극장 3관 1
 
1.0%

Length

2023-12-10T18:58:42.807739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:43.045964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대극장 54
27.0%
아르코예술극장 52
26.0%
대학로예술극장 48
24.0%
소극장 45
22.5%
3관 1
 
0.5%

ordr_dc
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

pblprfr_begin_de
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20005693
Minimum2012
Maximum20210828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:58:43.351596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile20201231
Q120210219
median20210426
Q320210614
95-th percentile20210819
Maximum20210828
Range20208816
Interquartile range (IQR)395.5

Descriptive statistics

Standard deviation2020645.1
Coefficient of variation (CV)0.1010035
Kurtosis99.985465
Mean20005693
Median Absolute Deviation (MAD)201.5
Skewness-9.9989248
Sum2.0005693 × 109
Variance4.0830066 × 1012
MonotonicityNot monotonic
2023-12-10T18:58:43.669835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210219 3
 
3.0%
20210109 3
 
3.0%
20210703 3
 
3.0%
20210420 2
 
2.0%
20210527 2
 
2.0%
20210122 2
 
2.0%
20210116 2
 
2.0%
20210604 2
 
2.0%
20210710 2
 
2.0%
20210402 2
 
2.0%
Other values (72) 77
77.0%
ValueCountFrequency (%)
2012 1
 
1.0%
20090108 2
2.0%
20201226 1
 
1.0%
20201229 1
 
1.0%
20201231 1
 
1.0%
20210102 1
 
1.0%
20210103 1
 
1.0%
20210106 1
 
1.0%
20210108 1
 
1.0%
20210109 3
3.0%
ValueCountFrequency (%)
20210828 1
1.0%
20210825 1
1.0%
20210824 2
2.0%
20210820 1
1.0%
20210819 1
1.0%
20210814 2
2.0%
20210810 1
1.0%
20210807 1
1.0%
20210805 1
1.0%
20210723 1
1.0%

pblprfr_end_de
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20005690
Minimum2012
Maximum20210829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:58:44.005248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile20201230
Q120210221
median20210502
Q320210616
95-th percentile20210820
Maximum20210829
Range20208817
Interquartile range (IQR)395.5

Descriptive statistics

Standard deviation2020644.8
Coefficient of variation (CV)0.10100351
Kurtosis99.985455
Mean20005690
Median Absolute Deviation (MAD)202.5
Skewness-9.9989241
Sum2.000569 × 109
Variance4.0830055 × 1012
MonotonicityNot monotonic
2023-12-10T18:58:44.305628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210704 4
 
4.0%
20210117 4
 
4.0%
20210829 3
 
3.0%
20210207 3
 
3.0%
20210228 3
 
3.0%
20210411 3
 
3.0%
20210425 3
 
3.0%
20210516 3
 
3.0%
20210815 2
 
2.0%
20210529 2
 
2.0%
Other values (55) 70
70.0%
ValueCountFrequency (%)
2012 1
1.0%
20090109 1
1.0%
20090111 1
1.0%
20200103 1
1.0%
20201227 1
1.0%
20201230 1
1.0%
20210103 2
2.0%
20210107 1
1.0%
20210110 2
2.0%
20210114 1
1.0%
ValueCountFrequency (%)
20210829 3
3.0%
20210825 1
 
1.0%
20210821 1
 
1.0%
20210820 1
 
1.0%
20210815 2
2.0%
20210811 1
 
1.0%
20210808 1
 
1.0%
20210806 1
 
1.0%
20210725 1
 
1.0%
20210724 1
 
1.0%

adhrnc_nm
Text

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:58:44.965386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.88
Min length2

Characters and Unicode

Total characters888
Distinct characters216
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

Unique77 ?
Unique (%)77.0%

Sample

1st row무용단 ALTIMEETS
2nd row한국문화예술위원회
3rd row창무국제예술제
4th row댄스컴퍼니 브레이브맨
5th row극단 신세계
ValueCountFrequency (%)
사)한국현대무용협회 13
 
9.0%
극단 11
 
7.6%
사)국제아동청소년연극협회 6
 
4.2%
서울연극협회/극단 4
 
2.8%
dance 4
 
2.8%
댄스포럼 4
 
2.8%
project 3
 
2.1%
신세계 2
 
1.4%
댄스프로젝트 2
 
1.4%
김복희무용단 1
 
0.7%
Other values (94) 94
65.3%
2023-12-10T18:58:45.988553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
5.0%
회 30
 
3.4%
극 29
 
3.3%
협 27
 
3.0%
( 25
 
2.8%
) 25
 
2.8%
국 25
 
2.8%
사 24
 
2.7%
단 24
 
2.7%
무 22
 
2.5%
Other values (206) 613
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 672
75.7%
Lowercase Letter 68
 
7.7%
Space Separator 44
 
5.0%
Uppercase Letter 41
 
4.6%
Open Punctuation 25
 
2.8%
Close Punctuation 25
 
2.8%
Other Punctuation 9
 
1.0%
Dash Punctuation 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 30
 
4.5%
극 29
 
4.3%
협 27
 
4.0%
국 25
 
3.7%
사 24
 
3.6%
단 24
 
3.6%
무 22
 
3.3%
스 21
 
3.1%
용 20
 
3.0%
연 18
 
2.7%
Other values (164) 432
64.3%
Uppercase Letter
ValueCountFrequency (%)
D 6
14.6%
T 5
12.2%
I 3
 
7.3%
E 3
 
7.3%
S 3
 
7.3%
P 3
 
7.3%
L 2
 
4.9%
A 2
 
4.9%
C 2
 
4.9%
N 2
 
4.9%
Other values (7) 10
24.4%
Lowercase Letter
ValueCountFrequency (%)
a 12
17.6%
e 9
13.2%
n 8
11.8%
o 7
10.3%
c 7
10.3%
t 7
10.3%
r 5
7.4%
j 3
 
4.4%
y 2
 
2.9%
m 2
 
2.9%
Other values (6) 6
8.8%
Other Punctuation
ValueCountFrequency (%)
/ 5
55.6%
& 2
 
22.2%
, 1
 
11.1%
: 1
 
11.1%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 672
75.7%
Latin 109
 
12.3%
Common 107
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 30
 
4.5%
극 29
 
4.3%
협 27
 
4.0%
국 25
 
3.7%
사 24
 
3.6%
단 24
 
3.6%
무 22
 
3.3%
스 21
 
3.1%
용 20
 
3.0%
연 18
 
2.7%
Other values (164) 432
64.3%
Latin
ValueCountFrequency (%)
a 12
 
11.0%
e 9
 
8.3%
n 8
 
7.3%
o 7
 
6.4%
c 7
 
6.4%
t 7
 
6.4%
D 6
 
5.5%
T 5
 
4.6%
r 5
 
4.6%
I 3
 
2.8%
Other values (23) 40
36.7%
Common
ValueCountFrequency (%)
44
41.1%
( 25
23.4%
) 25
23.4%
/ 5
 
4.7%
- 3
 
2.8%
& 2
 
1.9%
, 1
 
0.9%
: 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 672
75.7%
ASCII 216
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
20.4%
( 25
 
11.6%
) 25
 
11.6%
a 12
 
5.6%
e 9
 
4.2%
n 8
 
3.7%
o 7
 
3.2%
c 7
 
3.2%
t 7
 
3.2%
D 6
 
2.8%
Other values (32) 66
30.6%
Hangul
ValueCountFrequency (%)
회 30
 
4.5%
극 29
 
4.3%
협 27
 
4.0%
국 25
 
3.7%
사 24
 
3.6%
단 24
 
3.6%
무 22
 
3.3%
스 21
 
3.1%
용 20
 
3.0%
연 18
 
2.7%
Other values (164) 432
64.3%

pblprfr_nm
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:58:47.035764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length37
Mean length24.47
Min length2

Characters and Unicode

Total characters2447
Distinct characters364
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

Unique98 ?
Unique (%)98.0%

Sample

1st row2nd Altimeets-무용단altimeets 2회 정기공연
2nd row안무가집중육성/훔친관계
3rd row창무국제공연예술제
4th row아뇌쿠메네(Anokumene)
5th row재판극 <별들의 전쟁>
ValueCountFrequency (%)
30
 
5.9%
2021 25
 
4.9%
2020 19
 
3.7%
올해의신작 15
 
2.9%
창작산실 15
 
2.9%
modafe 13
 
2.6%
of 7
 
1.4%
무용 6
 
1.2%
2＞ 6
 
1.2%
겨울축제 6
 
1.2%
Other values (275) 367
72.1%
2023-12-10T18:58:48.236035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
409
 
16.7%
2 115
 
4.7%
0 70
 
2.9%
e 64
 
2.6%
o 47
 
1.9%
＜ 46
 
1.9%
＞ 46
 
1.9%
- 40
 
1.6%
작 38
 
1.6%
1 37
 
1.5%
Other values (354) 1535
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 999
40.8%
Space Separator 409
16.7%
Lowercase Letter 365
 
14.9%
Decimal Number 245
 
10.0%
Uppercase Letter 204
 
8.3%
Math Symbol 108
 
4.4%
Other Punctuation 48
 
2.0%
Dash Punctuation 40
 
1.6%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Other values (2) 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
작 38
 
3.8%
제 34
 
3.4%
의 27
 
2.7%
스 24
 
2.4%
울 19
 
1.9%
신 19
 
1.9%
연 18
 
1.8%
창 18
 
1.8%
산 17
 
1.7%
회 16
 
1.6%
Other values (278) 769
77.0%
Lowercase Letter
ValueCountFrequency (%)
e 64
17.5%
o 47
12.9%
n 33
9.0%
a 33
9.0%
t 29
 
7.9%
i 20
 
5.5%
l 19
 
5.2%
r 17
 
4.7%
c 15
 
4.1%
h 13
 
3.6%
Other values (14) 75
20.5%
Uppercase Letter
ValueCountFrequency (%)
D 26
12.7%
A 25
12.3%
E 23
11.3%
M 22
10.8%
O 20
9.8%
F 19
9.3%
C 15
7.4%
S 11
5.4%
N 10
 
4.9%
T 8
 
3.9%
Other values (12) 25
12.3%
Other Punctuation
ValueCountFrequency (%)
# 13
27.1%
, 7
14.6%
! 6
12.5%
/ 5
 
10.4%
? 4
 
8.3%
. 4
 
8.3%
: 4
 
8.3%
& 2
 
4.2%
' 2
 
4.2%
… 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
2 115
46.9%
0 70
28.6%
1 37
 
15.1%
4 11
 
4.5%
5 5
 
2.0%
3 5
 
2.0%
6 1
 
0.4%
8 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
＜ 46
42.6%
＞ 46
42.6%
< 8
 
7.4%
> 8
 
7.4%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 993
40.6%
Common 878
35.9%
Latin 570
23.3%
Han 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
작 38
 
3.8%
제 34
 
3.4%
의 27
 
2.7%
스 24
 
2.4%
울 19
 
1.9%
신 19
 
1.9%
연 18
 
1.8%
창 18
 
1.8%
산 17
 
1.7%
회 16
 
1.6%
Other values (272) 763
76.8%
Latin
ValueCountFrequency (%)
e 64
 
11.2%
o 47
 
8.2%
n 33
 
5.8%
a 33
 
5.8%
t 29
 
5.1%
D 26
 
4.6%
A 25
 
4.4%
E 23
 
4.0%
M 22
 
3.9%
O 20
 
3.5%
Other values (37) 248
43.5%
Common
ValueCountFrequency (%)
409
46.6%
2 115
 
13.1%
0 70
 
8.0%
＜ 46
 
5.2%
＞ 46
 
5.2%
- 40
 
4.6%
1 37
 
4.2%
# 13
 
1.5%
( 11
 
1.3%
4 11
 
1.3%
Other values (19) 80
 
9.1%
Han
ValueCountFrequency (%)
轟 1
16.7%
鳥 1
16.7%
致 1
16.7%
院 1
16.7%
制 1
16.7%
新 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1354
55.3%
Hangul 993
40.6%
None 92
 
3.8%
CJK 6
 
0.2%
Number Forms 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
409
30.2%
2 115
 
8.5%
0 70
 
5.2%
e 64
 
4.7%
o 47
 
3.5%
- 40
 
3.0%
1 37
 
2.7%
n 33
 
2.4%
a 33
 
2.4%
t 29
 
2.1%
Other values (62) 477
35.2%
None
ValueCountFrequency (%)
＜ 46
50.0%
＞ 46
50.0%
Hangul
ValueCountFrequency (%)
작 38
 
3.8%
제 34
 
3.4%
의 27
 
2.7%
스 24
 
2.4%
울 19
 
1.9%
신 19
 
1.9%
연 18
 
1.8%
창 18
 
1.8%
산 17
 
1.7%
회 16
 
1.6%
Other values (272) 763
76.8%
CJK
ValueCountFrequency (%)
轟 1
16.7%
鳥 1
16.7%
致 1
16.7%
院 1
16.7%
制 1
16.7%
新 1
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

rprsntv_nm
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing37
Missing (%)37.0%
Memory size932.0 B
2023-12-10T18:58:48.884847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length3
Mean length4.4444444
Min length2

Characters and Unicode

Total characters280
Distinct characters98
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)90.5%

Sample

1st row전성재
2nd row김매자
3rd row김수정
4th row김예나
5th row김정아
ValueCountFrequency (%)
이고은 2
 
2.7%
김수정 2
 
2.7%
전성재 2
 
2.7%
안정민 1
 
1.3%
최용훈 1
 
1.3%
손관중 1
 
1.3%
손대원 1
 
1.3%
박정석 1
 
1.3%
박혜선 1
 
1.3%
김윤주 1
 
1.3%
Other values (62) 62
82.7%
2023-12-10T18:58:49.987120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 22
 
7.9%
이 17
 
6.1%
정 13
 
4.6%
12
 
4.3%
, 12
 
4.3%
선 6
 
2.1%
원 6
 
2.1%
/ 6
 
2.1%
재 6
 
2.1%
용 5
 
1.8%
Other values (88) 175
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
85.4%
Other Punctuation 18
 
6.4%
Space Separator 12
 
4.3%
Lowercase Letter 9
 
3.2%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
9.2%
이 17
 
7.1%
정 13
 
5.4%
선 6
 
2.5%
원 6
 
2.5%
재 6
 
2.5%
용 5
 
2.1%
은 5
 
2.1%
윤 5
 
2.1%
장 5
 
2.1%
Other values (79) 149
62.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
44.4%
s 2
22.2%
o 2
22.2%
e 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 12
66.7%
/ 6
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
85.4%
Common 30
 
10.7%
Latin 11
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
9.2%
이 17
 
7.1%
정 13
 
5.4%
선 6
 
2.5%
원 6
 
2.5%
재 6
 
2.5%
용 5
 
2.1%
은 5
 
2.1%
윤 5
 
2.1%
장 5
 
2.1%
Other values (79) 149
62.3%
Latin
ValueCountFrequency (%)
n 4
36.4%
s 2
18.2%
o 2
18.2%
A 1
 
9.1%
e 1
 
9.1%
J 1
 
9.1%
Common
ValueCountFrequency (%)
12
40.0%
, 12
40.0%
/ 6
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
85.4%
ASCII 41
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 22
 
9.2%
이 17
 
7.1%
정 13
 
5.4%
선 6
 
2.5%
원 6
 
2.5%
재 6
 
2.5%
용 5
 
2.1%
은 5
 
2.1%
윤 5
 
2.1%
장 5
 
2.1%
Other values (79) 149
62.3%
ASCII
ValueCountFrequency (%)
12
29.3%
, 12
29.3%
/ 6
14.6%
n 4
 
9.8%
s 2
 
4.9%
o 2
 
4.9%
A 1
 
2.4%
e 1
 
2.4%
J 1
 
2.4%

realm_cl
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
무용
62 
연극
30 
전통
 
4
뮤지컬
 
2
다원
 
1

Length

Max length3
Median length2
Mean length2.02
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
무용 62
62.0%
연극 30
30.0%
전통 4
 
4.0%
뮤지컬 2
 
2.0%
다원 1
 
1.0%
음악 1
 
1.0%

Length

2023-12-10T18:58:50.331704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:50.656578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무용 62
62.0%
연극 30
30.0%
전통 4
 
4.0%
뮤지컬 2
 
2.0%
다원 1
 
1.0%
음악 1
 
1.0%

Interactions

2023-12-10T18:58:40.049905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:58:39.611159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:58:40.255973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:58:39.838514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:58:50.997229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
place_searko_theat_cd_nmyytheat_nmpblprfr_begin_depblprfr_end_deadhrnc_nmpblprfr_nmrprsntv_nmrealm_cl
place_se1.0000.9990.0721.000NaNNaN1.0001.0001.0000.212
arko_theat_cd_nm0.9991.0000.0721.000NaNNaN1.0001.0001.0000.212
yy0.0720.0721.0000.643NaNNaN1.0001.0001.0000.721
theat_nm1.0001.0000.6431.000NaNNaN0.9811.0001.0000.654
pblprfr_begin_deNaNNaNNaNNaN1.000NaNNaNNaNNaNNaN
pblprfr_end_deNaNNaNNaNNaNNaN1.000NaNNaNNaNNaN
adhrnc_nm1.0001.0001.0000.981NaNNaN1.0001.0000.9360.870
pblprfr_nm1.0001.0001.0001.000NaNNaN1.0001.0001.0001.000
rprsntv_nm1.0001.0001.0001.000NaNNaN0.9361.0001.0001.000
realm_cl0.2120.2120.7210.654NaNNaN0.8701.0001.0001.000
2023-12-10T18:58:51.360453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
realm_clyytheat_nmplace_searko_theat_cd_nm
realm_cl1.0000.5480.5120.1480.148
yy0.5481.0000.5690.0440.044
theat_nm0.5120.5691.0000.9850.985
place_se0.1480.0440.9851.0000.980
arko_theat_cd_nm0.1480.0440.9850.9801.000
2023-12-10T18:58:51.581964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
pblprfr_begin_depblprfr_end_deplace_searko_theat_cd_nmyytheat_nmrealm_cl
pblprfr_begin_de1.0000.9990.0000.0000.9900.9850.979
pblprfr_end_de0.9991.0000.0000.0000.9900.9850.979
place_se0.0000.0001.0000.9800.0440.9850.148
arko_theat_cd_nm0.0000.0000.9801.0000.0440.9850.148
yy0.9900.9900.0440.0441.0000.5690.548
theat_nm0.9850.9850.9850.9850.5691.0000.512
realm_cl0.9790.9790.1480.1480.5480.5121.000

Missing values

2023-12-10T18:58:40.536565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:58:40.914461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

place_searko_theat_cd_nmyytheat_nmordr_dcpblprfr_begin_depblprfr_end_deadhrnc_nmpblprfr_nmrprsntv_nmrealm_cl
0UART대학로예술극장2021대학로예술극장 대극장<NA>2021082820210829무용단 ALTIMEETS2nd Altimeets-무용단altimeets 2회 정기공연전성재무용
1AART아르코예술극장2009아르코예술극장 소극장<NA>2009010820090109한국문화예술위원회안무가집중육성/훔친관계<NA>무용
2AART아르코예술극장2021아르코예술극장 대극장<NA>2021082520210829창무국제예술제창무국제공연예술제김매자무용
3UART대학로예술극장2021대학로예술극장 대극장<NA>2021082420210825댄스컴퍼니 브레이브맨아뇌쿠메네(Anokumene)<NA>무용
4AART아르코예술극장2021아르코예술극장 소극장<NA>2021082420210829극단 신세계재판극 <별들의 전쟁>김수정연극
5UART대학로예술극장2021대학로예술극장 소극장<NA>2021082020210821JUBIN Company새다림김예나무용
6UART대학로예술극장2021대학로예술극장 대극장<NA>2021081920210820(사)무트댄스2021 무트댄스 워크샵퍼포먼스김정아무용
7AART아르코예술극장2009아르코예술극장 대극장<NA>2009010820090111극단 신작로맥베스이영석연극
8UART대학로예술극장2021대학로예술극장 소극장<NA>2021081420210815모든컴퍼니PISTE<NA>무용
9AART아르코예술극장2021아르코예술극장 소극장<NA>2021081420210815전보람The Thin () line<NA>무용
place_searko_theat_cd_nmyytheat_nmordr_dcpblprfr_begin_depblprfr_end_deadhrnc_nmpblprfr_nmrprsntv_nmrealm_cl
90UART대학로예술극장2021대학로예술극장 대극장<NA>2021010920210110(사)국제아동청소년연극협회＜벨벳토끼＞- 2021 서울 아시테지 겨울축제정종임, 이혜원전통
91AART아르코예술극장2021아르코예술극장 대극장<NA>2021010920210110최지연무브먼트＜플라스틱 버드(Plastic bird)＞ - 2020 창작산실 올해의신작 무용이재환무용
92AART아르코예술극장2021아르코예술극장 소극장<NA>2021010920210117창작집단 푸른수염＜달걀의 일＞ - 2020 창작산실 올해의신작 연극안정민연극
93UART대학로예술극장2021대학로예술극장 소극장<NA>2021010820210117극단 김장하는날＜에볼루션 오브 러브(Evolution of Love)＞ - 2020 창작산실 올해의신작 연극이영은연극
94UART대학로예술극장2021대학로예술극장 대극장<NA>2021010620210107(사)국제아동청소년연극협회＜수상한 외갓집＞- 2021 서울 아시테지 겨울축제김소정뮤지컬
95UART대학로예술극장2021대학로예술극장 대극장<NA>2021010320210103사다리움직임연구소태풍임도완연극
96UART대학로예술극장2021대학로예술극장 소극장<NA>2021010220210103최예린차세대 열전 2020! - 최예린 ＜Nowhere, Now here＞<NA>음악
97AART아르코예술극장2020아르코예술극장 소극장<NA>2020123120200103이홍도차세대 열전 2020! 이홍도 <이홍도 자서전(나의 극작 나의 인생)>송이원연극
98UART대학로예술극장2020대학로예술극장 소극장<NA>2020122920201230장영차세대 열전 2020! 장영<FAN>김미란연극
99AART아르코예술극장2020아르코예술극장 소극장<NA>2020122620201227최소영, 김현진차세대 열전 2020! [더블빌] 최소영 <금>, 김현진 <몸 둘 바><NA>무용