Overview

Dataset statistics

Number of variables7
Number of observations126
Missing cells37
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory57.0 B

Variable types

Text5
DateTime2

Dataset

Description대구미술관 현재,과거,예정 전시에 관한 정보로 전시명, 전시기간, 전시장소, 메인이미지, 오디오가이드 등을 제공함
URLhttps://www.data.go.kr/data/15086152/fileData.do

Alerts

오디오가이드 has 37 (29.4%) missing valuesMissing
전시명 has unique valuesUnique
메인이미지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:44:54.205122
Analysis finished2023-12-12 18:44:55.600478
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전시명
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:44:55.986224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length31
Mean length16.825397
Min length2

Characters and Unicode

Total characters2120
Distinct characters385
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

Unique126 ?
Unique (%)100.0%

Sample

1st row2023 소장품 기획전《회화 아닌(Not Paintings)》
2nd row2023 다티스트 김영진 《출구가 어디예요?》
3rd row2023 지역작가조명전 《노중기》
4th row웰컴 홈: 개화 開花
5th row2023년 대구포럼Ⅱ 《물/ 불/ 몸》
ValueCountFrequency (%)
20
 
4.3%
y 8
 
1.7%
artist 7
 
1.5%
특별전 5
 
1.1%
5
 
1.1%
소장품 5
 
1.1%
project 4
 
0.9%
2022 4
 
0.9%
다티스트 4
 
0.9%
이인성미술상 4
 
0.9%
Other values (357) 401
85.9%
2023-12-13T03:44:56.854580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
16.4%
2 50
 
2.4%
1 36
 
1.7%
0 36
 
1.7%
35
 
1.7%
34
 
1.6%
t 29
 
1.4%
a 28
 
1.3%
- 27
 
1.3%
i 27
 
1.3%
Other values (375) 1470
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1095
51.7%
Space Separator 348
 
16.4%
Lowercase Letter 264
 
12.5%
Decimal Number 156
 
7.4%
Uppercase Letter 64
 
3.0%
Other Punctuation 54
 
2.5%
Close Punctuation 33
 
1.6%
Open Punctuation 33
 
1.6%
Math Symbol 32
 
1.5%
Dash Punctuation 28
 
1.3%
Other values (2) 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
3.2%
34
 
3.1%
21
 
1.9%
20
 
1.8%
19
 
1.7%
18
 
1.6%
18
 
1.6%
17
 
1.6%
17
 
1.6%
17
 
1.6%
Other values (293) 879
80.3%
Lowercase Letter
ValueCountFrequency (%)
t 29
11.0%
a 28
10.6%
i 27
10.2%
e 23
 
8.7%
r 20
 
7.6%
o 20
 
7.6%
s 19
 
7.2%
n 17
 
6.4%
g 10
 
3.8%
u 10
 
3.8%
Other values (15) 61
23.1%
Uppercase Letter
ValueCountFrequency (%)
Y 11
17.2%
A 8
12.5%
D 6
 
9.4%
N 6
 
9.4%
M 4
 
6.2%
P 3
 
4.7%
E 3
 
4.7%
K 3
 
4.7%
T 3
 
4.7%
B 2
 
3.1%
Other values (11) 15
23.4%
Decimal Number
ValueCountFrequency (%)
2 50
32.1%
1 36
23.1%
0 36
23.1%
3 10
 
6.4%
9 10
 
6.4%
8 5
 
3.2%
5 3
 
1.9%
6 3
 
1.9%
4 2
 
1.3%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 25
46.3%
/ 19
35.2%
. 6
 
11.1%
& 2
 
3.7%
? 1
 
1.9%
· 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
18
54.5%
) 10
30.3%
3
 
9.1%
] 1
 
3.0%
} 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
18
54.5%
( 10
30.3%
3
 
9.1%
[ 1
 
3.0%
{ 1
 
3.0%
Math Symbol
ValueCountFrequency (%)
< 15
46.9%
> 15
46.9%
+ 1
 
3.1%
~ 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 27
96.4%
1
 
3.6%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
348
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1069
50.4%
Common 694
32.7%
Latin 331
 
15.6%
Han 26
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
3.3%
34
 
3.2%
21
 
2.0%
19
 
1.8%
18
 
1.7%
18
 
1.7%
17
 
1.6%
17
 
1.6%
17
 
1.6%
16
 
1.5%
Other values (286) 857
80.2%
Latin
ValueCountFrequency (%)
t 29
 
8.8%
a 28
 
8.5%
i 27
 
8.2%
e 23
 
6.9%
r 20
 
6.0%
o 20
 
6.0%
s 19
 
5.7%
n 17
 
5.1%
Y 11
 
3.3%
g 10
 
3.0%
Other values (38) 127
38.4%
Common
ValueCountFrequency (%)
348
50.1%
2 50
 
7.2%
1 36
 
5.2%
0 36
 
5.2%
- 27
 
3.9%
: 25
 
3.6%
/ 19
 
2.7%
18
 
2.6%
18
 
2.6%
< 15
 
2.2%
Other values (24) 102
 
14.7%
Han
ValueCountFrequency (%)
20
76.9%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1069
50.4%
ASCII 978
46.1%
None 43
 
2.0%
CJK 26
 
1.2%
Number Forms 3
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
35.6%
2 50
 
5.1%
1 36
 
3.7%
0 36
 
3.7%
t 29
 
3.0%
a 28
 
2.9%
- 27
 
2.8%
i 27
 
2.8%
: 25
 
2.6%
e 23
 
2.4%
Other values (64) 349
35.7%
Hangul
ValueCountFrequency (%)
35
 
3.3%
34
 
3.2%
21
 
2.0%
19
 
1.8%
18
 
1.7%
18
 
1.7%
17
 
1.6%
17
 
1.6%
17
 
1.6%
16
 
1.5%
Other values (286) 857
80.2%
CJK
ValueCountFrequency (%)
20
76.9%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
None
ValueCountFrequency (%)
18
41.9%
18
41.9%
3
 
7.0%
3
 
7.0%
· 1
 
2.3%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct125
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:44:57.565084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length56
Mean length30.619048
Min length3

Characters and Unicode

Total characters3858
Distinct characters87
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)98.4%

Sample

1st rowNot Paintings
2nd row2023 DArtist Kim Youngjin 《Where’s the exit?》
3rd row2023 Exhibition focused on Daegu Artist 《RO Jungki》
4th rowWELCOME HOME BLOSSOM
5th row2023 Daegu ForumⅡ《Water Fire Body》
ValueCountFrequency (%)
the 26
 
4.2%
of 23
 
3.7%
16
 
2.6%
lee 15
 
2.4%
daegu 13
 
2.1%
exhibition 12
 
1.9%
art 11
 
1.8%
artist 10
 
1.6%
project 9
 
1.4%
and 9
 
1.4%
Other values (377) 477
76.8%
2023-12-13T03:44:58.354215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
 
13.1%
e 300
 
7.8%
n 232
 
6.0%
o 225
 
5.8%
i 206
 
5.3%
a 197
 
5.1%
t 193
 
5.0%
r 145
 
3.8%
s 113
 
2.9%
h 100
 
2.6%
Other values (77) 1642
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2404
62.3%
Uppercase Letter 665
 
17.2%
Space Separator 505
 
13.1%
Decimal Number 114
 
3.0%
Other Punctuation 93
 
2.4%
Dash Punctuation 30
 
0.8%
Close Punctuation 16
 
0.4%
Open Punctuation 15
 
0.4%
Connector Punctuation 6
 
0.2%
Final Punctuation 3
 
0.1%
Other values (4) 7
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 300
12.5%
n 232
 
9.7%
o 225
 
9.4%
i 206
 
8.6%
a 197
 
8.2%
t 193
 
8.0%
r 145
 
6.0%
s 113
 
4.7%
h 100
 
4.2%
l 98
 
4.1%
Other values (16) 595
24.8%
Uppercase Letter
ValueCountFrequency (%)
A 65
 
9.8%
E 51
 
7.7%
M 41
 
6.2%
S 39
 
5.9%
D 36
 
5.4%
T 36
 
5.4%
C 34
 
5.1%
N 33
 
5.0%
H 31
 
4.7%
I 30
 
4.5%
Other values (16) 269
40.5%
Decimal Number
ValueCountFrequency (%)
2 41
36.0%
0 29
25.4%
1 22
19.3%
9 5
 
4.4%
3 5
 
4.4%
8 5
 
4.4%
6 3
 
2.6%
5 2
 
1.8%
4 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
; 23
24.7%
/ 21
22.6%
: 19
20.4%
& 18
19.4%
' 5
 
5.4%
. 4
 
4.3%
? 2
 
2.2%
· 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
10
62.5%
) 4
 
25.0%
1
 
6.2%
] 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
9
60.0%
( 4
26.7%
1
 
6.7%
[ 1
 
6.7%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3072
79.6%
Common 785
 
20.3%
Han 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 300
 
9.8%
n 232
 
7.6%
o 225
 
7.3%
i 206
 
6.7%
a 197
 
6.4%
t 193
 
6.3%
r 145
 
4.7%
s 113
 
3.7%
h 100
 
3.3%
l 98
 
3.2%
Other values (44) 1263
41.1%
Common
ValueCountFrequency (%)
505
64.3%
2 41
 
5.2%
- 30
 
3.8%
0 29
 
3.7%
; 23
 
2.9%
1 22
 
2.8%
/ 21
 
2.7%
: 19
 
2.4%
& 18
 
2.3%
10
 
1.3%
Other values (22) 67
 
8.5%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3828
99.2%
None 22
 
0.6%
Punctuation 4
 
0.1%
Number Forms 3
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
 
13.2%
e 300
 
7.8%
n 232
 
6.1%
o 225
 
5.9%
i 206
 
5.4%
a 197
 
5.1%
t 193
 
5.0%
r 145
 
3.8%
s 113
 
3.0%
h 100
 
2.6%
Other values (67) 1612
42.1%
None
ValueCountFrequency (%)
10
45.5%
9
40.9%
· 1
 
4.5%
1
 
4.5%
1
 
4.5%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct54
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:44:58.708612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length8.6984127
Min length3

Characters and Unicode

Total characters1096
Distinct characters71
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)31.7%

Sample

1st row1전시실
2nd row2/ 3전시실
3rd row4/ 5전시실
4th row미술관 제1전시실
5th row 2전시실/ 선큰 가든
ValueCountFrequency (%)
어미홀 30
 
12.8%
1전시실 26
 
11.1%
4/5전시실 19
 
8.1%
선큰가든 19
 
8.1%
2/3전시실 16
 
6.8%
전시실 14
 
6.0%
4 11
 
4.7%
대구미술관 10
 
4.3%
5전시실 7
 
3.0%
3전시실 6
 
2.6%
Other values (41) 76
32.5%
2023-12-13T03:44:59.465875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 115
 
10.5%
110
 
10.0%
104
 
9.5%
104
 
9.5%
102
 
9.3%
43
 
3.9%
1 43
 
3.9%
4 38
 
3.5%
2 38
 
3.5%
3 37
 
3.4%
Other values (61) 362
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
59.6%
Decimal Number 194
 
17.7%
Other Punctuation 115
 
10.5%
Space Separator 110
 
10.0%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%
Uppercase Letter 4
 
0.4%
Other Symbol 2
 
0.2%
Other Number 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
15.9%
104
15.9%
102
15.6%
43
 
6.6%
31
 
4.7%
31
 
4.7%
22
 
3.4%
22
 
3.4%
22
 
3.4%
22
 
3.4%
Other values (45) 150
23.0%
Decimal Number
ValueCountFrequency (%)
1 43
22.2%
4 38
19.6%
2 38
19.6%
3 37
19.1%
5 34
17.5%
0 2
 
1.0%
7 1
 
0.5%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 115
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
59.6%
Common 438
40.0%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
15.9%
104
15.9%
102
15.6%
43
 
6.6%
31
 
4.7%
31
 
4.7%
22
 
3.4%
22
 
3.4%
22
 
3.4%
22
 
3.4%
Other values (45) 150
23.0%
Common
ValueCountFrequency (%)
/ 115
26.3%
110
25.1%
1 43
 
9.8%
4 38
 
8.7%
2 38
 
8.7%
3 37
 
8.4%
5 34
 
7.8%
( 8
 
1.8%
) 8
 
1.8%
2
 
0.5%
Other values (4) 5
 
1.1%
Latin
ValueCountFrequency (%)
B 4
80.0%
m 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
59.6%
ASCII 440
40.1%
CJK Compat 2
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 115
26.1%
110
25.0%
1 43
 
9.8%
4 38
 
8.6%
2 38
 
8.6%
3 37
 
8.4%
5 34
 
7.7%
( 8
 
1.8%
) 8
 
1.8%
B 4
 
0.9%
Other values (4) 5
 
1.1%
Hangul
ValueCountFrequency (%)
104
15.9%
104
15.9%
102
15.6%
43
 
6.6%
31
 
4.7%
31
 
4.7%
22
 
3.4%
22
 
3.4%
22
 
3.4%
22
 
3.4%
Other values (45) 150
23.0%
CJK Compat
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
² 1
100.0%
Distinct95
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2011-05-26 00:00:00
Maximum2023-06-20 00:00:00
2023-12-13T03:44:59.707478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:44:59.946751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct92
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2011-09-25 00:00:00
Maximum2023-10-09 00:00:00
2023-12-13T03:45:00.191415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:45:00.437659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

메인이미지
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:45:00.807061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length21.238095
Min length6

Characters and Unicode

Total characters2676
Distinct characters57
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

Unique126 ?
Unique (%)100.0%

Sample

1st rowpaint_poster420.jpg
2nd row김영진_대표이미지.jpg
3rd row노중기_대표이미지_수정.jpg
4th row목록_이건희.jpg
5th row물불몸포스터420630.jpg
ValueCountFrequency (%)
paint_poster420.jpg 1
 
0.8%
201510121141432233.jpg 1
 
0.8%
201406090333042604.jpg 1
 
0.8%
201406110513004318.jpg 1
 
0.8%
201401270525373611.jpg 1
 
0.8%
201409050551462637.jpg 1
 
0.8%
201412020429149501.jpg 1
 
0.8%
201409050553007684.jpg 1
 
0.8%
201501280300486822.jpg 1
 
0.8%
201502110348387864.jpg 1
 
0.8%
Other values (116) 116
92.1%
2023-12-13T03:45:01.452924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 476
17.8%
1 346
12.9%
2 337
12.6%
5 184
 
6.9%
4 173
 
6.5%
3 166
 
6.2%
. 126
 
4.7%
p 125
 
4.7%
g 124
 
4.6%
j 122
 
4.6%
Other values (47) 497
18.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2111
78.9%
Lowercase Letter 385
 
14.4%
Other Punctuation 126
 
4.7%
Other Letter 39
 
1.5%
Connector Punctuation 8
 
0.3%
Uppercase Letter 6
 
0.2%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
7.7%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
1
 
2.6%
Other values (19) 19
48.7%
Lowercase Letter
ValueCountFrequency (%)
p 125
32.5%
g 124
32.2%
j 122
31.7%
f 3
 
0.8%
i 2
 
0.5%
n 2
 
0.5%
t 2
 
0.5%
o 1
 
0.3%
s 1
 
0.3%
e 1
 
0.3%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 476
22.5%
1 346
16.4%
2 337
16.0%
5 184
 
8.7%
4 173
 
8.2%
3 166
 
7.9%
9 115
 
5.4%
8 110
 
5.2%
7 105
 
5.0%
6 99
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
G 2
33.3%
J 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 126
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2246
83.9%
Latin 391
 
14.6%
Hangul 39
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
7.7%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
1
 
2.6%
Other values (19) 19
48.7%
Latin
ValueCountFrequency (%)
p 125
32.0%
g 124
31.7%
j 122
31.2%
f 3
 
0.8%
P 2
 
0.5%
G 2
 
0.5%
J 2
 
0.5%
i 2
 
0.5%
n 2
 
0.5%
t 2
 
0.5%
Other values (5) 5
 
1.3%
Common
ValueCountFrequency (%)
0 476
21.2%
1 346
15.4%
2 337
15.0%
5 184
 
8.2%
4 173
 
7.7%
3 166
 
7.4%
. 126
 
5.6%
9 115
 
5.1%
8 110
 
4.9%
7 105
 
4.7%
Other values (3) 108
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2637
98.5%
Hangul 39
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 476
18.1%
1 346
13.1%
2 337
12.8%
5 184
 
7.0%
4 173
 
6.6%
3 166
 
6.3%
. 126
 
4.8%
p 125
 
4.7%
g 124
 
4.7%
j 122
 
4.6%
Other values (18) 458
17.4%
Hangul
ValueCountFrequency (%)
3
 
7.7%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
2
 
5.1%
1
 
2.6%
Other values (19) 19
48.7%

오디오가이드
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing37
Missing (%)29.4%
Memory size1.1 KiB
2023-12-13T03:45:01.827703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length21.775281
Min length14

Characters and Unicode

Total characters1938
Distinct characters30
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row통합_노중기_오디오.mp3
2nd row01.웰컴홈개화소개글.mp3
3rd row202207290251393807.mp3
4th row202202051016425956.mp3
5th row202111250255266231.mp3
ValueCountFrequency (%)
201909301029204450.mp3 1
 
1.1%
201611130321338318.mp3 1
 
1.1%
201406271101484588.mp3 1
 
1.1%
201406251055329607.mp3 1
 
1.1%
201409260420422134.mp3 1
 
1.1%
201410130250265801.mp3 1
 
1.1%
201410071000444837.mp3 1
 
1.1%
201502161103228681.mp3 1
 
1.1%
201505290942174668.mp3 1
 
1.1%
201505280429597701.mp3 1
 
1.1%
Other values (79) 79
88.8%
2023-12-13T03:45:02.369483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 353
18.2%
1 281
14.5%
2 251
13.0%
3 207
10.7%
8 106
 
5.5%
5 102
 
5.3%
9 101
 
5.2%
4 100
 
5.2%
. 90
 
4.6%
m 88
 
4.5%
Other values (20) 259
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1652
85.2%
Lowercase Letter 176
 
9.1%
Other Punctuation 90
 
4.6%
Other Letter 16
 
0.8%
Connector Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
0 353
21.4%
1 281
17.0%
2 251
15.2%
3 207
12.5%
8 106
 
6.4%
5 102
 
6.2%
9 101
 
6.1%
4 100
 
6.1%
6 82
 
5.0%
7 69
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
m 88
50.0%
p 88
50.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
M 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 90
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1744
90.0%
Latin 178
 
9.2%
Hangul 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
0 353
20.2%
1 281
16.1%
2 251
14.4%
3 207
11.9%
8 106
 
6.1%
5 102
 
5.8%
9 101
 
5.8%
4 100
 
5.7%
. 90
 
5.2%
6 82
 
4.7%
Other values (2) 71
 
4.1%
Latin
ValueCountFrequency (%)
m 88
49.4%
p 88
49.4%
P 1
 
0.6%
M 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1922
99.2%
Hangul 16
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 353
18.4%
1 281
14.6%
2 251
13.1%
3 207
10.8%
8 106
 
5.5%
5 102
 
5.3%
9 101
 
5.3%
4 100
 
5.2%
. 90
 
4.7%
m 88
 
4.6%
Other values (6) 243
12.6%
Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (4) 4
25.0%

Correlations

2023-12-13T03:45:02.528214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전시장소전시시작일전시종료일오디오가이드
전시장소1.0000.9400.0001.000
전시시작일0.9401.0000.9981.000
전시종료일0.0000.9981.0001.000
오디오가이드1.0001.0001.0001.000

Missing values

2023-12-13T03:44:55.375498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:44:55.537785image/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

전시명영문전시명전시장소전시시작일전시종료일메인이미지오디오가이드
02023 소장품 기획전《회화 아닌(Not Paintings)》Not Paintings1전시실2023-06-202023-10-09paint_poster420.jpg<NA>
12023 다티스트 김영진 《출구가 어디예요?》2023 DArtist Kim Youngjin 《Where’s the exit?》2/ 3전시실2023-06-062023-09-10김영진_대표이미지.jpg<NA>
22023 지역작가조명전 《노중기》2023 Exhibition focused on Daegu Artist 《RO Jungki》4/ 5전시실2023-05-272023-08-20노중기_대표이미지_수정.jpg통합_노중기_오디오.mp3
3웰컴 홈: 개화 開花WELCOME HOME BLOSSOM미술관 제1전시실2023-02-212023-05-28목록_이건희.jpg01.웰컴홈개화소개글.mp3
42023년 대구포럼Ⅱ 《물/ 불/ 몸》2023 Daegu ForumⅡ《Water Fire Body》2전시실/ 선큰 가든2023-01-312023-05-14물불몸포스터420630.jpg<NA>
52022 Y 아티스트 프로젝트 《펑키-펑션》2022 Y Artist Project Funky-Funtion대구미술관 4/ 5 전시실2022-11-082023-01-15ff.jpg<NA>
6제22회 이인성미술상 수상자전 《유근택: 대화》The 22nd LEE INSUNG Art Prize Recipient Exhibition 《YOO Geun-Taek: Dialogue》대구미술관 2/3전시실/ 선큰가든2022-11-082023-01-15202209291004587786.jpg<NA>
7《다니엘 뷔렌》International Exchange Exhibition 《Daniel Buren》대구미술관 1전시실 및 어미홀2022-07-112023-01-29202206180228125191.jpg202207290251393807.mp3
82022 다티스트 《위치-나-제안》Position/Proposition4/ 5전시실2022-06-132022-10-03202205250441315741.jpg<NA>
92022 다티스트 《이교준의 라티오(Ratio)》2022 DArtist &lt;Ratio of LEE Kyojun》2/ 3전시실/ 선큰가든2022-06-132022-10-03202205250433236001.jpg<NA>
전시명영문전시명전시장소전시시작일전시종료일메인이미지오디오가이드
116특별전 - 박서보 展Park Seobo3전시실2012-03-062012-07-291_87233.jpg<NA>
117개관특별2부 - 김수자 展Kim Sooja프로젝트룸2011-12-062012-04-0113231644699062500.jpg<NA>
118상설전 - 이쾌대 展Lee Qoede전시실 4/ 52011-12-062012-04-0113231641977968750.jpg<NA>
119개관특별2부-주제전Nature/ Life/ Human1/2 전시실2011-10-182012-02-12201209050313255693.jpg<NA>
120개관특별2부-특별전Fran&amp;ccedil;ois Morellet제3전시실2011-10-122012-02-1213210106140692500.jpg<NA>
121개관특별1부-정점식/ 김종복展Jeong Jeum-sik &amp; Kim Jong-bok4/ 5전시실2011-08-102011-11-2013195612537897500.jpg13114462102500000.mp3
122개관특별1부-Made in DaeguMade in Daegu지하1층 프로젝트룸2011-08-102011-11-2013122770530278676.jpg13114460515156250.mp3
123개관특별전 이강소Lee Kang So exhibition어미홀2011-05-262012-04-0113114459168750000.jpg13114459169375000.mp3
124개관특별1부-주제전Qi (氣/ Energy) is Full1/ 2전시실2011-05-262011-09-2513114448767031250.jpg13114448768750000.mp3
125개관특별전 Richard LongSpecial exhibition of Richard Long3전시실2011-05-262011-09-2513114451358125000.jpg13114451359062500.mp3