Overview

Dataset statistics

Number of variables18
Number of observations100
Missing cells8
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory148.3 B

Variable types

Categorical13
Text5

Alerts

dta_lc_dc has constant value ""Constant
dta_lc_addr has constant value ""Constant
city_do_cd has constant value ""Constant
ctprvn_nm has constant value ""Constant
signgu_cd has constant value ""Constant
signgu_nm has constant value ""Constant
adstrd_cd has constant value ""Constant
adstrd_nm has constant value ""Constant
sound_dc is highly overall correlated with subtl_valHigh correlation
subtl_val is highly overall correlated with sound_dcHigh correlation
se is highly overall correlated with yyHigh correlation
yy is highly overall correlated with seHigh correlation
color_nm is highly imbalanced (68.2%)Imbalance
sound_dc is highly imbalanced (69.7%)Imbalance
subtl_val is highly imbalanced (59.9%)Imbalance
title_korean_nm has 7 (7.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 09:54:07.627488
Analysis finished2023-12-10 09:54:11.558208
Duration3.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

se
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2012 ARKO media
23 
2013 ARKO media
22 
2010 ARKO media
15 
2011 ARKO media (Seforma collection)
14 
2011 ARKO media
12 
Other values (4)
14 

Length

Max length45
Median length15
Mean length19.33
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2015 ARKO media
2nd row2015 ARKO media
3rd row2015 ARKO media
4th row2015 ARKO media
5th row2015 ARKO media

Common Values

ValueCountFrequency (%)
2012 ARKO media 23
23.0%
2013 ARKO media 22
22.0%
2010 ARKO media 15
15.0%
2011 ARKO media (Seforma collection) 14
14.0%
2011 ARKO media 12
12.0%
2015 ARKO media 6
 
6.0%
2014 Tradition (Un)realized 전통 재발견 프로젝트 공연 영상 5
 
5.0%
2009 ARKO media 2
 
2.0%
<NA> 1
 
1.0%

Length

2023-12-10T18:54:11.736014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:12.032693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
media 94
26.8%
arko 94
26.8%
2011 26
 
7.4%
2012 23
 
6.6%
2013 22
 
6.3%
2010 15
 
4.3%
seforma 14
 
4.0%
collection 14
 
4.0%
2015 6
 
1.7%
재발견 5
 
1.4%
Other values (9) 38
10.8%

writr_korean_nm
Text

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:12.481920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.3
Min length1

Characters and Unicode

Total characters330
Distinct characters107
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)54.0%

Sample

1st row권혜원
2nd row무진형제
3rd row박준범
4th row윤향로
5th row조현아
ValueCountFrequency (%)
함양아 10
 
9.7%
유비호 9
 
8.7%
노재운 5
 
4.9%
정은영 5
 
4.9%
안정주 3
 
2.9%
변시재 2
 
1.9%
차지량 2
 
1.9%
뮌 2
 
1.9%
권아람 2
 
1.9%
이영호 2
 
1.9%
Other values (59) 61
59.2%
2023-12-10T18:54:13.507692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 16
 
4.8%
아 15
 
4.5%
영 14
 
4.2%
김 13
 
3.9%
호 12
 
3.6%
양 11
 
3.3%
함 10
 
3.0%
유 10
 
3.0%
재 9
 
2.7%
비 9
 
2.7%
Other values (97) 211
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
97.9%
Math Symbol 4
 
1.2%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 16
 
5.0%
아 15
 
4.6%
영 14
 
4.3%
김 13
 
4.0%
호 12
 
3.7%
양 11
 
3.4%
함 10
 
3.1%
유 10
 
3.1%
재 9
 
2.8%
비 9
 
2.8%
Other values (95) 204
63.2%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
97.9%
Common 7
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 16
 
5.0%
아 15
 
4.6%
영 14
 
4.3%
김 13
 
4.0%
호 12
 
3.7%
양 11
 
3.4%
함 10
 
3.1%
유 10
 
3.1%
재 9
 
2.8%
비 9
 
2.8%
Other values (95) 204
63.2%
Common
ValueCountFrequency (%)
+ 4
57.1%
3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
97.9%
ASCII 7
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 16
 
5.0%
아 15
 
4.6%
영 14
 
4.3%
김 13
 
4.0%
호 12
 
3.7%
양 11
 
3.4%
함 10
 
3.1%
유 10
 
3.1%
재 9
 
2.8%
비 9
 
2.8%
Other values (95) 204
63.2%
ASCII
ValueCountFrequency (%)
+ 4
57.1%
3
42.9%

writr_eng_nm
Text

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:14.122411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length20
Mean length11.6
Min length5

Characters and Unicode

Total characters1160
Distinct characters49
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

Unique56 ?
Unique (%)56.0%

Sample

1st rowHeywon Kwon
2nd rowmoojin brothers
3rd rowJunebum Park
4th rowHyangro Yoon
5th rowHyun A Cho
ValueCountFrequency (%)
kim 13
 
5.8%
yang 10
 
4.4%
ham 10
 
4.4%
ah 10
 
4.4%
ryubiho 9
 
4.0%
jung 8
 
3.6%
park 8
 
3.6%
lee 8
 
3.6%
eun 6
 
2.7%
young 6
 
2.7%
Other values (100) 137
60.9%
2023-12-10T18:54:15.002381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 131
 
11.3%
125
 
10.8%
o 87
 
7.5%
u 83
 
7.2%
e 70
 
6.0%
a 68
 
5.9%
g 64
 
5.5%
h 60
 
5.2%
i 56
 
4.8%
m 36
 
3.1%
Other values (39) 380
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 801
69.1%
Uppercase Letter 228
 
19.7%
Space Separator 125
 
10.8%
Other Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 131
16.4%
o 87
10.9%
u 83
10.4%
e 70
8.7%
a 68
8.5%
g 64
8.0%
h 60
7.5%
i 56
7.0%
m 36
 
4.5%
y 34
 
4.2%
Other values (13) 112
14.0%
Uppercase Letter
ValueCountFrequency (%)
Y 24
10.5%
J 24
10.5%
S 22
9.6%
H 21
9.2%
A 20
 
8.8%
K 20
 
8.8%
R 16
 
7.0%
O 11
 
4.8%
C 10
 
4.4%
L 10
 
4.4%
Other values (11) 50
21.9%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1029
88.7%
Common 131
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 131
 
12.7%
o 87
 
8.5%
u 83
 
8.1%
e 70
 
6.8%
a 68
 
6.6%
g 64
 
6.2%
h 60
 
5.8%
i 56
 
5.4%
m 36
 
3.5%
y 34
 
3.3%
Other values (34) 340
33.0%
Common
ValueCountFrequency (%)
125
95.4%
, 2
 
1.5%
+ 2
 
1.5%
- 1
 
0.8%
_ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 131
 
11.3%
125
 
10.8%
o 87
 
7.5%
u 83
 
7.2%
e 70
 
6.0%
a 68
 
5.9%
g 64
 
5.5%
h 60
 
5.2%
i 56
 
4.8%
m 36
 
3.1%
Other values (39) 380
32.8%

title_korean_nm
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing7
Missing (%)7.0%
Memory size932.0 B
2023-12-10T18:54:15.560928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length8.8494624
Min length1

Characters and Unicode

Total characters823
Distinct characters299
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row어느 관광엽서의 일생
2nd row결구
3rd row8개의 언어
4th row퍼스트 임프레션스
5th row오르간
ValueCountFrequency (%)
2 4
 
1.9%
돌 2
 
0.9%
사진관 2
 
0.9%
이야기 2
 
0.9%
오프/스테이지 2
 
0.9%
1 2
 
0.9%
마우스 2
 
0.9%
in 2
 
0.9%
극사적 2
 
0.9%
a 2
 
0.9%
Other values (192) 193
89.8%
2023-12-10T18:54:16.396322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
14.8%
의 21
 
2.6%
이 18
 
2.2%
e 15
 
1.8%
a 14
 
1.7%
스 13
 
1.6%
i 8
 
1.0%
c 8
 
1.0%
T 8
 
1.0%
프 7
 
0.9%
Other values (289) 589
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
62.0%
Space Separator 122
 
14.8%
Lowercase Letter 101
 
12.3%
Uppercase Letter 46
 
5.6%
Other Punctuation 18
 
2.2%
Decimal Number 15
 
1.8%
Dash Punctuation 5
 
0.6%
Connector Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 21
 
4.1%
이 18
 
3.5%
스 13
 
2.5%
프 7
 
1.4%
가 7
 
1.4%
오 7
 
1.4%
마 6
 
1.2%
사 6
 
1.2%
상 6
 
1.2%
리 6
 
1.2%
Other values (234) 413
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
14.9%
a 14
13.9%
i 8
 
7.9%
c 8
 
7.9%
o 6
 
5.9%
r 6
 
5.9%
s 6
 
5.9%
l 5
 
5.0%
n 5
 
5.0%
t 5
 
5.0%
Other values (12) 23
22.8%
Uppercase Letter
ValueCountFrequency (%)
T 8
17.4%
E 5
10.9%
S 5
10.9%
A 4
8.7%
I 3
 
6.5%
B 3
 
6.5%
L 3
 
6.5%
W 2
 
4.3%
N 2
 
4.3%
M 2
 
4.3%
Other values (7) 9
19.6%
Other Punctuation
ValueCountFrequency (%)
. 4
22.2%
: 4
22.2%
? 3
16.7%
, 3
16.7%
/ 2
11.1%
# 2
11.1%
Decimal Number
ValueCountFrequency (%)
2 6
40.0%
1 5
33.3%
8 2
 
13.3%
3 2
 
13.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 508
61.7%
Common 166
 
20.2%
Latin 147
 
17.9%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 21
 
4.1%
이 18
 
3.5%
스 13
 
2.6%
프 7
 
1.4%
가 7
 
1.4%
오 7
 
1.4%
마 6
 
1.2%
사 6
 
1.2%
상 6
 
1.2%
리 6
 
1.2%
Other values (232) 411
80.9%
Latin
ValueCountFrequency (%)
e 15
 
10.2%
a 14
 
9.5%
i 8
 
5.4%
c 8
 
5.4%
T 8
 
5.4%
o 6
 
4.1%
r 6
 
4.1%
s 6
 
4.1%
l 5
 
3.4%
n 5
 
3.4%
Other values (29) 66
44.9%
Common
ValueCountFrequency (%)
122
73.5%
2 6
 
3.6%
1 5
 
3.0%
- 5
 
3.0%
. 4
 
2.4%
: 4
 
2.4%
? 3
 
1.8%
, 3
 
1.8%
8 2
 
1.2%
_ 2
 
1.2%
Other values (6) 10
 
6.0%
Han
ValueCountFrequency (%)
聖 1
50.0%
餐 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 508
61.7%
ASCII 313
38.0%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
39.0%
e 15
 
4.8%
a 14
 
4.5%
i 8
 
2.6%
c 8
 
2.6%
T 8
 
2.6%
o 6
 
1.9%
r 6
 
1.9%
2 6
 
1.9%
s 6
 
1.9%
Other values (45) 114
36.4%
Hangul
ValueCountFrequency (%)
의 21
 
4.1%
이 18
 
3.5%
스 13
 
2.6%
프 7
 
1.4%
가 7
 
1.4%
오 7
 
1.4%
마 6
 
1.2%
사 6
 
1.2%
상 6
 
1.2%
리 6
 
1.2%
Other values (232) 411
80.9%
CJK
ValueCountFrequency (%)
聖 1
50.0%
餐 1
50.0%

title_eng_nm
Text

Distinct99
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T18:54:17.137406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length30
Mean length18.373737
Min length3

Characters and Unicode

Total characters1819
Distinct characters75
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st rowA Life of Tourist Postcard
2nd row8 languages
3rd rowFirst Impressions
4th rowO_defective utterance
5th rowOrgan
ValueCountFrequency (%)
the 13
 
4.4%
of 10
 
3.4%
a 8
 
2.7%
in 5
 
1.7%
for 5
 
1.7%
2 4
 
1.3%
and 4
 
1.3%
black 3
 
1.0%
dream 2
 
0.7%
spectacle 2
 
0.7%
Other values (229) 241
81.1%
2023-12-10T18:54:18.399520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
10.9%
e 174
 
9.6%
o 118
 
6.5%
i 115
 
6.3%
n 106
 
5.8%
t 99
 
5.4%
a 98
 
5.4%
r 92
 
5.1%
s 67
 
3.7%
l 55
 
3.0%
Other values (65) 697
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1303
71.6%
Uppercase Letter 250
 
13.7%
Space Separator 198
 
10.9%
Other Punctuation 27
 
1.5%
Decimal Number 20
 
1.1%
Other Letter 8
 
0.4%
Dash Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%
Connector Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 174
13.4%
o 118
 
9.1%
i 115
 
8.8%
n 106
 
8.1%
t 99
 
7.6%
a 98
 
7.5%
r 92
 
7.1%
s 67
 
5.1%
l 55
 
4.2%
u 46
 
3.5%
Other values (15) 333
25.6%
Uppercase Letter
ValueCountFrequency (%)
S 27
 
10.8%
T 25
 
10.0%
A 23
 
9.2%
M 15
 
6.0%
W 15
 
6.0%
E 14
 
5.6%
C 14
 
5.6%
F 13
 
5.2%
L 12
 
4.8%
D 12
 
4.8%
Other values (13) 80
32.0%
Other Letter
ValueCountFrequency (%)
고 1
12.5%
무 1
12.5%
줄 1
12.5%
놀 1
12.5%
이 1
12.5%
를 1
12.5%
하 1
12.5%
다 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
25.9%
. 6
22.2%
' 6
22.2%
? 3
11.1%
/ 2
 
7.4%
# 2
 
7.4%
: 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 7
35.0%
1 7
35.0%
3 2
 
10.0%
0 2
 
10.0%
8 2
 
10.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1553
85.4%
Common 258
 
14.2%
Hangul 8
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 174
 
11.2%
o 118
 
7.6%
i 115
 
7.4%
n 106
 
6.8%
t 99
 
6.4%
a 98
 
6.3%
r 92
 
5.9%
s 67
 
4.3%
l 55
 
3.5%
u 46
 
3.0%
Other values (38) 583
37.5%
Common
ValueCountFrequency (%)
198
76.7%
2 7
 
2.7%
, 7
 
2.7%
1 7
 
2.7%
- 6
 
2.3%
. 6
 
2.3%
' 6
 
2.3%
? 3
 
1.2%
/ 2
 
0.8%
3 2
 
0.8%
Other values (9) 14
 
5.4%
Hangul
ValueCountFrequency (%)
고 1
12.5%
무 1
12.5%
줄 1
12.5%
놀 1
12.5%
이 1
12.5%
를 1
12.5%
하 1
12.5%
다 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1810
99.5%
Hangul 8
 
0.4%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
 
10.9%
e 174
 
9.6%
o 118
 
6.5%
i 115
 
6.4%
n 106
 
5.9%
t 99
 
5.5%
a 98
 
5.4%
r 92
 
5.1%
s 67
 
3.7%
l 55
 
3.0%
Other values (56) 688
38.0%
Hangul
ValueCountFrequency (%)
고 1
12.5%
무 1
12.5%
줄 1
12.5%
놀 1
12.5%
이 1
12.5%
를 1
12.5%
하 1
12.5%
다 1
12.5%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

yy
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2011
15 
2010
14 
2012
13 
2009
10 
2014
8 
Other values (14)
40 

Length

Max length13
Median length4
Mean length4.19
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row2014
2nd row2015
3rd row2015
4th row2014
5th row2014

Common Values

ValueCountFrequency (%)
2011 15
15.0%
2010 14
14.0%
2012 13
13.0%
2009 10
10.0%
2014 8
8.0%
2000 6
 
6.0%
2006 6
 
6.0%
2008 5
 
5.0%
2005 4
 
4.0%
2003 3
 
3.0%
Other values (9) 16
16.0%

Length

2023-12-10T18:54:18.706887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2011 15
14.9%
2010 14
13.9%
2012 13
12.9%
2009 10
9.9%
2014 8
7.9%
2000 6
 
5.9%
2006 6
 
5.9%
2008 5
 
5.0%
2005 4
 
4.0%
2004 3
 
3.0%
Other values (10) 17
16.8%

reqre_time_cn
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:19.135844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.61
Min length2

Characters and Unicode

Total characters661
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row13' 24""
2nd row11' 50""
3rd row8' 00""
4th row58' 30""
5th row4' 58""
ValueCountFrequency (%)
4 11
 
6.5%
2 10
 
5.9%
30 9
 
5.3%
3 8
 
4.7%
13 8
 
4.7%
00 7
 
4.1%
7 7
 
4.1%
6 6
 
3.5%
10 6
 
3.5%
5 5
 
2.9%
Other values (61) 93
54.7%
2023-12-10T18:54:19.870704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 194
29.3%
" 90
13.6%
70
 
10.6%
1 53
 
8.0%
4 45
 
6.8%
2 44
 
6.7%
3 43
 
6.5%
0 40
 
6.1%
5 28
 
4.2%
7 19
 
2.9%
Other values (3) 35
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
46.4%
Other Punctuation 284
43.0%
Space Separator 70
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 53
17.3%
4 45
14.7%
2 44
14.3%
3 43
14.0%
0 40
13.0%
5 28
9.1%
7 19
 
6.2%
6 18
 
5.9%
8 11
 
3.6%
9 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
' 194
68.3%
" 90
31.7%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 661
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
' 194
29.3%
" 90
13.6%
70
 
10.6%
1 53
 
8.0%
4 45
 
6.8%
2 44
 
6.7%
3 43
 
6.5%
0 40
 
6.1%
5 28
 
4.2%
7 19
 
2.9%
Other values (3) 35
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 661
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
' 194
29.3%
" 90
13.6%
70
 
10.6%
1 53
 
8.0%
4 45
 
6.8%
2 44
 
6.7%
3 43
 
6.5%
0 40
 
6.1%
5 28
 
4.2%
7 19
 
2.9%
Other values (3) 35
 
5.3%

color_nm
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Color
89 
B/W Color
 
7
B/W
 
3
B/W, Color
 
1

Length

Max length10
Median length5
Mean length5.27
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowColor
2nd rowColor
3rd rowColor
4th rowColor
5th rowB/W

Common Values

ValueCountFrequency (%)
Color 89
89.0%
B/W Color 7
 
7.0%
B/W 3
 
3.0%
B/W, Color 1
 
1.0%

Length

2023-12-10T18:54:20.146774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:20.381849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
color 97
89.8%
b/w 11
 
10.2%

sound_dc
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Sound
90 
Silent
 
5
silent
 
4
slient
 
1

Length

Max length6
Median length5
Mean length5.1
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowSound
2nd rowSound
3rd rowSound
4th rowSound
5th rowSilent

Common Values

ValueCountFrequency (%)
Sound 90
90.0%
Silent 5
 
5.0%
silent 4
 
4.0%
slient 1
 
1.0%

Length

2023-12-10T18:54:20.679548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:20.948576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sound 90
90.0%
silent 9
 
9.0%
slient 1
 
1.0%

subtl_val
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
85 
Caption(Eng)
 
7
Caption(Kor)
 
7
Caption(Kor, Eng)
 
1

Length

Max length17
Median length4
Mean length5.25
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
85.0%
Caption(Eng) 7
 
7.0%
Caption(Kor) 7
 
7.0%
Caption(Kor, Eng) 1
 
1.0%

Length

2023-12-10T18:54:21.205139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:21.419918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
84.2%
caption(kor 8
 
7.9%
caption(eng 7
 
6.9%
eng 1
 
1.0%

dta_lc_dc
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아르코미술관
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아르코미술관 100
100.0%

Length

2023-12-10T18:54:21.644366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:21.837450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아르코미술관 100
100.0%

dta_lc_addr
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울 종로구 동숭길 3
100 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울 종로구 동숭길 3
2nd row서울 종로구 동숭길 3
3rd row서울 종로구 동숭길 3
4th row서울 종로구 동숭길 3
5th row서울 종로구 동숭길 3

Common Values

ValueCountFrequency (%)
서울 종로구 동숭길 3 100
100.0%

Length

2023-12-10T18:54:22.065560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:22.329667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 100
25.0%
종로구 100
25.0%
동숭길 100
25.0%
3 100
25.0%

city_do_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 100
100.0%

Length

2023-12-10T18:54:22.518368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:22.722231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 100
100.0%

ctprvn_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 100
100.0%

Length

2023-12-10T18:54:22.907297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:23.083589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 100
100.0%

signgu_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11010
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11010
2nd row11010
3rd row11010
4th row11010
5th row11010

Common Values

ValueCountFrequency (%)
11010 100
100.0%

Length

2023-12-10T18:54:23.285116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:23.467395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11010 100
100.0%

signgu_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
종로구
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 100
100.0%

Length

2023-12-10T18:54:23.664703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:23.861236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 100
100.0%

adstrd_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1101064
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1101064
2nd row1101064
3rd row1101064
4th row1101064
5th row1101064

Common Values

ValueCountFrequency (%)
1101064 100
100.0%

Length

2023-12-10T18:54:24.056191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:24.389952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1101064 100
100.0%

adstrd_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
이화동
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이화동 100
100.0%

Length

2023-12-10T18:54:24.598739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:24.804808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이화동 100
100.0%

Correlations

2023-12-10T18:54:24.968366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
sewritr_korean_nmwritr_eng_nmtitle_korean_nmtitle_eng_nmyyreqre_time_cncolor_nmsound_dcsubtl_val
se1.0000.9780.9841.0001.0000.8740.9600.0000.3910.000
writr_korean_nm0.9781.0001.0001.0001.0000.0000.9960.9330.7790.971
writr_eng_nm0.9841.0001.0001.0001.0000.0000.9960.9290.7590.971
title_korean_nm1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
title_eng_nm1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
yy0.8740.0000.0001.0001.0001.0000.0000.0000.3840.000
reqre_time_cn0.9600.9960.9961.0001.0000.0001.0001.0000.6141.000
color_nm0.0000.9330.9291.0001.0000.0001.0001.0000.4490.000
sound_dc0.3910.7790.7591.0001.0000.3840.6140.4491.000NaN
subtl_val0.0000.9710.9711.0001.0000.0001.0000.000NaN1.000
2023-12-10T18:54:25.259063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
sound_dcsesubtl_valcolor_nmyy
sound_dc1.0000.1771.0000.1870.197
se0.1771.0000.0000.0000.577
subtl_val1.0000.0001.0000.0000.000
color_nm0.1870.0000.0001.0000.000
yy0.1970.5770.0000.0001.000
2023-12-10T18:54:25.484727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seyycolor_nmsound_dcsubtl_val
se1.0000.5770.0000.1770.000
yy0.5771.0000.0000.1970.000
color_nm0.0000.0001.0000.1870.000
sound_dc0.1770.1970.1871.0001.000
subtl_val0.0000.0000.0001.0001.000

Missing values

2023-12-10T18:54:10.199178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:54:11.111822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-10T18:54:11.400501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

sewritr_korean_nmwritr_eng_nmtitle_korean_nmtitle_eng_nmyyreqre_time_cncolor_nmsound_dcsubtl_valdta_lc_dcdta_lc_addrcity_do_cdctprvn_nmsigngu_cdsigngu_nmadstrd_cdadstrd_nm
02015 ARKO media권혜원Heywon Kwon어느 관광엽서의 일생A Life of Tourist Postcard201413' 24""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
12015 ARKO media무진형제moojin brothers결구<NA>201511' 50""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
22015 ARKO media박준범Junebum Park8개의 언어8 languages20158' 00""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
32015 ARKO media윤향로Hyangro Yoon퍼스트 임프레션스First Impressions201458' 30""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
42015 ARKO media조현아Hyun A Cho<NA>O_defective utterance20144' 58""B/WSilent<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
52015 ARKO media태싯그룹Tacit Group오르간Organ201416' 06""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
62014 Tradition (Un)realized 전통 재발견 프로젝트 공연 영상나딤 아바스+스티브 휴이+친킹Nadim Abbas+Steve hui+Chin kIng방랑자의 가을 선집A Wanderer's Autumn Anthology201443' 10""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
72014 Tradition (Un)realized 전통 재발견 프로젝트 공연 영상박민희Park Minhee가곡실격: 나흘 밤No longer Gagok: Four Nights2014(2013 초연)23' 23''ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
82014 Tradition (Un)realized 전통 재발견 프로젝트 공연 영상이양희Lee Yanghee언런: 형식과 상투 V 1.1Unlearn-the form and clich? V 1.1201444' 37''ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
92014 Tradition (Un)realized 전통 재발견 프로젝트 공연 영상장영규+이희문+정각스님Jang Young Gyu, Lee Hee Moon, Monk Jung Kak걸립프로젝트Gullip Project201447' 06''ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
sewritr_korean_nmwritr_eng_nmtitle_korean_nmtitle_eng_nmyyreqre_time_cncolor_nmsound_dcsubtl_valdta_lc_dcdta_lc_addrcity_do_cdctprvn_nmsigngu_cdsigngu_nmadstrd_cdadstrd_nm
902010 ARKO media보통미술잇다PUBLIC ART ITDA오디션Audition200922' 13""ColorSoundCaption(Eng)아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
912010 ARKO media이영민Lee YoungminL박사의 밀실The Cube of Dr. L20094' 49""ColorSoundCaption(Eng)아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
922010 ARKO media이영민Lee Youngmin화난 햄릿Angry Hamlet20104' 26""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
932010 ARKO media이영호Lee Youngho사진관 프로젝트-첫 번째 이야기 윤우 사진관Photo studio Project-Episode1 yoonoo photostudio20104' 19""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
942010 ARKO media이영호Lee Youngho<NA>Kings of the road20096' 40""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
952010 ARKO media전소정Jun Sojung노인과 바다The Old Man and the Sea20097' 44""ColorSoundCaption(Kor)아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
962010 ARKO media정성윤Jung Sungyoon<NA>on the planet200916' 2""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
972010 ARKO media정혜정Jung Hyejung눈알 해파리와 함께하는 촉촉한 여행A Wet Trip with Eyeball Jelly Fish20093'B/WSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
982010 ARKO media차지량Cha Jiryang은둔하는 세대의 디지털 캠프파이어_자체발광Digital campfire of seclusion generation_Self-Luminosity201022' 53""Colorsilent<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동
992010 ARKO media차지량Cha Jiryang월곡~산~여대Wolgok~Mountain~Women's University201011' 12""ColorSound<NA>아르코미술관서울 종로구 동숭길 311서울특별시11010종로구1101064이화동