Overview

Dataset statistics

Number of variables6
Number of observations4595
Missing cells7437
Missing cells (%)27.0%
Duplicate rows12
Duplicate rows (%)0.3%
Total size in memory215.5 KiB
Average record size in memory48.0 B

Variable types

Unsupported1
Text4
Categorical1

Dataset

Description2005년 지역별 전시회 등 시각예술 관련 정보(행사명, 장소, 일시, 부문 등 정보 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076509/fileData.do

Alerts

Unnamed: 5 has constant value ""Constant
Dataset has 12 (0.3%) duplicate rowsDuplicates
비고 has 2818 (61.3%) missing valuesMissing
Unnamed: 5 has 4594 (> 99.9%) missing valuesMissing
일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 22:49:31.996118
Analysis finished2023-12-12 22:49:33.418765
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일시
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size36.0 KiB

행사명
Text

Distinct4352
Distinct (%)95.0%
Missing12
Missing (%)0.3%
Memory size36.0 KiB
2023-12-13T07:49:33.640530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length7.3892647
Min length2

Characters and Unicode

Total characters33865
Distinct characters739
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4153 ?
Unique (%)90.6%

Sample

1st row김상유와 한국현대 판화전
2nd rowLet’s Bible- 성서체험 전
3rd row임근희 전
4th row목기와 그림 전
5th row꿈과 사랑이 담긴 작은 만남 전
ValueCountFrequency (%)
전 3145
30.6%
졸업전 74
 
0.7%
2005 73
 
0.7%
한국 28
 
0.3%
대한민국 27
 
0.3%
제2회 24
 
0.2%
23
 
0.2%
제3회 21
 
0.2%
the 16
 
0.2%
한국화 14
 
0.1%
Other values (5411) 6821
66.4%
2023-12-13T07:49:34.097654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5706
 
16.8%
전 4635
 
13.7%
이 629
 
1.9%
김 591
 
1.7%
회 500
 
1.5%
대 419
 
1.2%
정 371
 
1.1%
미 349
 
1.0%
한 341
 
1.0%
영 329
 
1.0%
Other values (729) 19995
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24759
73.1%
Space Separator 5706
 
16.8%
Lowercase Letter 1738
 
5.1%
Decimal Number 964
 
2.8%
Other Punctuation 300
 
0.9%
Uppercase Letter 293
 
0.9%
Dash Punctuation 60
 
0.2%
Control 14
 
< 0.1%
Math Symbol 10
 
< 0.1%
Final Punctuation 6
 
< 0.1%
Other values (5) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 4635
 
18.7%
이 629
 
2.5%
김 591
 
2.4%
회 500
 
2.0%
대 419
 
1.7%
정 371
 
1.5%
미 349
 
1.4%
한 341
 
1.4%
영 329
 
1.3%
화 294
 
1.2%
Other values (639) 16301
65.8%
Lowercase Letter
ValueCountFrequency (%)
e 214
12.3%
o 169
 
9.7%
a 138
 
7.9%
t 133
 
7.7%
r 132
 
7.6%
i 125
 
7.2%
n 125
 
7.2%
s 101
 
5.8%
l 79
 
4.5%
c 62
 
3.6%
Other values (16) 460
26.5%
Uppercase Letter
ValueCountFrequency (%)
A 45
15.4%
F 21
 
7.2%
S 20
 
6.8%
P 19
 
6.5%
I 19
 
6.5%
D 17
 
5.8%
K 17
 
5.8%
C 17
 
5.8%
M 15
 
5.1%
L 13
 
4.4%
Other values (15) 90
30.7%
Other Punctuation
ValueCountFrequency (%)
, 230
76.7%
. 23
 
7.7%
& 16
 
5.3%
; 6
 
2.0%
! 6
 
2.0%
' 6
 
2.0%
； 4
 
1.3%
· 3
 
1.0%
， 1
 
0.3%
# 1
 
0.3%
Other values (4) 4
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 308
32.0%
2 174
18.0%
5 142
14.7%
1 110
 
11.4%
3 73
 
7.6%
4 48
 
5.0%
6 45
 
4.7%
9 25
 
2.6%
7 21
 
2.2%
8 18
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 59
98.3%
〜 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 7
70.0%
~ 3
30.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
50.0%
） 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
50.0%
（ 2
50.0%
Space Separator
ValueCountFrequency (%)
5706
100.0%
Control
ValueCountFrequency (%)
14
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24744
73.1%
Common 7075
 
20.9%
Latin 2031
 
6.0%
Han 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 4635
 
18.7%
이 629
 
2.5%
김 591
 
2.4%
회 500
 
2.0%
대 419
 
1.7%
정 371
 
1.5%
미 349
 
1.4%
한 341
 
1.4%
영 329
 
1.3%
화 294
 
1.2%
Other values (628) 16286
65.8%
Latin
ValueCountFrequency (%)
e 214
 
10.5%
o 169
 
8.3%
a 138
 
6.8%
t 133
 
6.5%
r 132
 
6.5%
i 125
 
6.2%
n 125
 
6.2%
s 101
 
5.0%
l 79
 
3.9%
c 62
 
3.1%
Other values (41) 753
37.1%
Common
ValueCountFrequency (%)
5706
80.7%
0 308
 
4.4%
, 230
 
3.3%
2 174
 
2.5%
5 142
 
2.0%
1 110
 
1.6%
3 73
 
1.0%
- 59
 
0.8%
4 48
 
0.7%
6 45
 
0.6%
Other values (29) 180
 
2.5%
Han
ValueCountFrequency (%)
樂 4
26.7%
美 2
13.3%
晝 1
 
6.7%
燈 1
 
6.7%
感 1
 
6.7%
展 1
 
6.7%
行 1
 
6.7%
愛 1
 
6.7%
間 1
 
6.7%
現 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24744
73.1%
ASCII 9083
 
26.8%
CJK 15
 
< 0.1%
None 13
 
< 0.1%
Punctuation 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5706
62.8%
0 308
 
3.4%
, 230
 
2.5%
e 214
 
2.4%
2 174
 
1.9%
o 169
 
1.9%
5 142
 
1.6%
a 138
 
1.5%
t 133
 
1.5%
r 132
 
1.5%
Other values (70) 1737
 
19.1%
Hangul
ValueCountFrequency (%)
전 4635
 
18.7%
이 629
 
2.5%
김 591
 
2.4%
회 500
 
2.0%
대 419
 
1.7%
정 371
 
1.5%
미 349
 
1.4%
한 341
 
1.4%
영 329
 
1.3%
화 294
 
1.2%
Other values (628) 16286
65.8%
Punctuation
ValueCountFrequency (%)
’ 6
60.0%
‘ 2
 
20.0%
… 1
 
10.0%
“ 1
 
10.0%
None
ValueCountFrequency (%)
； 4
30.8%
· 3
23.1%
） 2
15.4%
（ 2
15.4%
， 1
 
7.7%
〜 1
 
7.7%
CJK
ValueCountFrequency (%)
樂 4
26.7%
美 2
13.3%
晝 1
 
6.7%
燈 1
 
6.7%
感 1
 
6.7%
展 1
 
6.7%
行 1
 
6.7%
愛 1
 
6.7%
間 1
 
6.7%
現 1
 
6.7%

장소
Text

Distinct660
Distinct (%)14.4%
Missing13
Missing (%)0.3%
Memory size36.0 KiB
2023-12-13T07:49:34.397057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length6.4076822
Min length3

Characters and Unicode

Total characters29360
Distinct characters408
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique331 ?
Unique (%)7.2%

Sample

1st row갤러리 다다
2nd row능동 어린이대공원 내 특설전시장
3rd row경인미술관아틀리에
4th row갤러리 서호
5th row본화랑
ValueCountFrequency (%)
갤러리 1304
 
19.2%
미술관 242
 
3.6%
인사아트센터 197
 
2.9%
인사갤러리 153
 
2.3%
세종문화회관 138
 
2.0%
토포하우스 130
 
1.9%
경인미술관 126
 
1.9%
라메르 124
 
1.8%
관훈갤러리 102
 
1.5%
예술의전당 93
 
1.4%
Other values (752) 4178
61.6%
2023-12-13T07:49:34.821629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2567
 
8.7%
러 2509
 
8.5%
갤 2504
 
8.5%
2199
 
7.5%
관 980
 
3.3%
아 959
 
3.3%
트 881
 
3.0%
술 752
 
2.6%
스 729
 
2.5%
미 715
 
2.4%
Other values (398) 14565
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26743
91.1%
Space Separator 2199
 
7.5%
Uppercase Letter 160
 
0.5%
Lowercase Letter 138
 
0.5%
Decimal Number 78
 
0.3%
Other Punctuation 23
 
0.1%
Control 14
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2567
 
9.6%
러 2509
 
9.4%
갤 2504
 
9.4%
관 980
 
3.7%
아 959
 
3.6%
트 881
 
3.3%
술 752
 
2.8%
스 729
 
2.7%
미 715
 
2.7%
인 681
 
2.5%
Other values (343) 13466
50.4%
Uppercase Letter
ValueCountFrequency (%)
I 42
26.2%
P 21
13.1%
C 20
12.5%
M 17
10.6%
S 17
10.6%
A 9
 
5.6%
B 5
 
3.1%
W 4
 
2.5%
D 4
 
2.5%
T 4
 
2.5%
Other values (9) 17
10.6%
Lowercase Letter
ValueCountFrequency (%)
o 18
13.0%
e 16
11.6%
h 15
10.9%
u 11
 
8.0%
p 11
 
8.0%
t 9
 
6.5%
m 8
 
5.8%
r 6
 
4.3%
l 5
 
3.6%
a 5
 
3.6%
Other values (8) 34
24.6%
Decimal Number
ValueCountFrequency (%)
1 28
35.9%
5 18
23.1%
7 16
20.5%
3 6
 
7.7%
2 4
 
5.1%
9 2
 
2.6%
0 2
 
2.6%
6 1
 
1.3%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 15
65.2%
. 5
 
21.7%
& 2
 
8.7%
' 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
） 2
66.7%
] 1
33.3%
Space Separator
ValueCountFrequency (%)
2199
100.0%
Control
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26742
91.1%
Common 2319
 
7.9%
Latin 298
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2567
 
9.6%
러 2509
 
9.4%
갤 2504
 
9.4%
관 980
 
3.7%
아 959
 
3.6%
트 881
 
3.3%
술 752
 
2.8%
스 729
 
2.7%
미 715
 
2.7%
인 681
 
2.5%
Other values (342) 13465
50.4%
Latin
ValueCountFrequency (%)
I 42
 
14.1%
P 21
 
7.0%
C 20
 
6.7%
o 18
 
6.0%
M 17
 
5.7%
S 17
 
5.7%
e 16
 
5.4%
h 15
 
5.0%
u 11
 
3.7%
p 11
 
3.7%
Other values (27) 110
36.9%
Common
ValueCountFrequency (%)
2199
94.8%
1 28
 
1.2%
5 18
 
0.8%
7 16
 
0.7%
, 15
 
0.6%
14
 
0.6%
3 6
 
0.3%
. 5
 
0.2%
2 4
 
0.2%
9 2
 
0.1%
Other values (8) 12
 
0.5%
Han
ValueCountFrequency (%)
而 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26742
91.1%
ASCII 2613
 
8.9%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2567
 
9.6%
러 2509
 
9.4%
갤 2504
 
9.4%
관 980
 
3.7%
아 959
 
3.6%
트 881
 
3.3%
술 752
 
2.8%
스 729
 
2.7%
미 715
 
2.7%
인 681
 
2.5%
Other values (342) 13465
50.4%
ASCII
ValueCountFrequency (%)
2199
84.2%
I 42
 
1.6%
1 28
 
1.1%
P 21
 
0.8%
C 20
 
0.8%
o 18
 
0.7%
5 18
 
0.7%
M 17
 
0.7%
S 17
 
0.7%
7 16
 
0.6%
Other values (43) 217
 
8.3%
None
ValueCountFrequency (%)
（ 2
50.0%
） 2
50.0%
CJK
ValueCountFrequency (%)
而 1
100.0%

비고
Text

MISSING 

Distinct1769
Distinct (%)99.5%
Missing2818
Missing (%)61.3%
Memory size36.0 KiB
2023-12-13T07:49:35.174278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length61
Mean length43.241981
Min length1

Characters and Unicode

Total characters76841
Distinct characters1024
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1761 ?
Unique (%)99.1%

Sample

1st row2005년의 캘린더 전시.
2nd row‘이미지와 소리’라는 부제로 밤길을 걸으며 포착한 이미지와 그 순간에 들려온 소리와 분위기를 함께 전달하고자 함.
3rd row크게 확대된 상품화된 남성 누드상. 스틸사진과 동영상 작업.
4th row나뭇잎의 엽맥을 연상하게 하는 복잡한 그물망의 이미지.
5th row바람에 식물이 결을 이루어 눕는 ‘바람결’ 시리즈
ValueCountFrequency (%)
부제로 445
 
2.4%
등 337
 
1.8%
참여 264
 
1.4%
전시 263
 
1.4%
작품 174
 
0.9%
열림 173
 
0.9%
표현함 136
 
0.7%
통해 123
 
0.7%
주제로 112
 
0.6%
위에 109
 
0.6%
Other values (9370) 16186
88.3%
2023-12-13T07:49:35.699596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16517
 
21.5%
. 2079
 
2.7%
, 1724
 
2.2%
로 1537
 
2.0%
의 1529
 
2.0%
이 1346
 
1.8%
는 1092
 
1.4%
을 1056
 
1.4%
한 856
 
1.1%
전 833
 
1.1%
Other values (1014) 48272
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52369
68.2%
Space Separator 16517
 
21.5%
Other Punctuation 3847
 
5.0%
Lowercase Letter 1239
 
1.6%
Decimal Number 1208
 
1.6%
Final Punctuation 663
 
0.9%
Initial Punctuation 660
 
0.9%
Uppercase Letter 109
 
0.1%
Dash Punctuation 65
 
0.1%
Control 54
 
0.1%
Other values (5) 110
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1537
 
2.9%
의 1529
 
2.9%
이 1346
 
2.6%
는 1092
 
2.1%
을 1056
 
2.0%
한 856
 
1.6%
전 833
 
1.6%
제 791
 
1.5%
시 774
 
1.5%
화 729
 
1.4%
Other values (924) 41826
79.9%
Lowercase Letter
ValueCountFrequency (%)
e 149
12.0%
i 103
 
8.3%
a 102
 
8.2%
n 89
 
7.2%
o 89
 
7.2%
s 85
 
6.9%
t 82
 
6.6%
r 77
 
6.2%
l 62
 
5.0%
m 47
 
3.8%
Other values (15) 354
28.6%
Uppercase Letter
ValueCountFrequency (%)
D 11
 
10.1%
P 11
 
10.1%
S 9
 
8.3%
B 8
 
7.3%
T 7
 
6.4%
I 7
 
6.4%
M 6
 
5.5%
C 6
 
5.5%
F 5
 
4.6%
K 5
 
4.6%
Other values (12) 34
31.2%
Other Punctuation
ValueCountFrequency (%)
. 2079
54.0%
, 1724
44.8%
' 10
 
0.3%
& 10
 
0.3%
/ 5
 
0.1%
， 3
 
0.1%
· 3
 
0.1%
! 3
 
0.1%
; 3
 
0.1%
? 2
 
0.1%
Other values (5) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 264
21.9%
1 255
21.1%
2 165
13.7%
3 99
 
8.2%
5 99
 
8.2%
9 80
 
6.6%
6 79
 
6.5%
4 69
 
5.7%
7 58
 
4.8%
8 40
 
3.3%
Close Punctuation
ValueCountFrequency (%)
） 44
84.6%
] 4
 
7.7%
) 3
 
5.8%
》 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
= 3
42.9%
＜ 2
28.6%
+ 1
 
14.3%
| 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
（ 44
89.8%
( 4
 
8.2%
[ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
16517
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 663
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Control
ValueCountFrequency (%)
54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52346
68.1%
Common 23124
30.1%
Latin 1348
 
1.8%
Han 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1537
 
2.9%
의 1529
 
2.9%
이 1346
 
2.6%
는 1092
 
2.1%
을 1056
 
2.0%
한 856
 
1.6%
전 833
 
1.6%
제 791
 
1.5%
시 774
 
1.5%
화 729
 
1.4%
Other values (903) 41803
79.9%
Latin
ValueCountFrequency (%)
e 149
 
11.1%
i 103
 
7.6%
a 102
 
7.6%
n 89
 
6.6%
o 89
 
6.6%
s 85
 
6.3%
t 82
 
6.1%
r 77
 
5.7%
l 62
 
4.6%
m 47
 
3.5%
Other values (37) 463
34.3%
Common
ValueCountFrequency (%)
16517
71.4%
. 2079
 
9.0%
, 1724
 
7.5%
’ 663
 
2.9%
‘ 660
 
2.9%
0 264
 
1.1%
1 255
 
1.1%
2 165
 
0.7%
3 99
 
0.4%
5 99
 
0.4%
Other values (33) 599
 
2.6%
Han
ValueCountFrequency (%)
別 2
 
8.7%
虛 2
 
8.7%
化 1
 
4.3%
占 1
 
4.3%
容 1
 
4.3%
家 1
 
4.3%
器 1
 
4.3%
急 1
 
4.3%
正 1
 
4.3%
所 1
 
4.3%
Other values (11) 11
47.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52346
68.1%
ASCII 23050
30.0%
Punctuation 1325
 
1.7%
None 97
 
0.1%
CJK 23
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16517
71.7%
. 2079
 
9.0%
, 1724
 
7.5%
0 264
 
1.1%
1 255
 
1.1%
2 165
 
0.7%
e 149
 
0.6%
i 103
 
0.4%
a 102
 
0.4%
3 99
 
0.4%
Other values (70) 1593
 
6.9%
Hangul
ValueCountFrequency (%)
로 1537
 
2.9%
의 1529
 
2.9%
이 1346
 
2.6%
는 1092
 
2.1%
을 1056
 
2.0%
한 856
 
1.6%
전 833
 
1.6%
제 791
 
1.5%
시 774
 
1.5%
화 729
 
1.4%
Other values (903) 41803
79.9%
Punctuation
ValueCountFrequency (%)
’ 663
50.0%
‘ 660
49.8%
※ 1
 
0.1%
… 1
 
0.1%
None
ValueCountFrequency (%)
） 44
45.4%
（ 44
45.4%
， 3
 
3.1%
· 3
 
3.1%
＜ 2
 
2.1%
》 1
 
1.0%
CJK
ValueCountFrequency (%)
別 2
 
8.7%
虛 2
 
8.7%
化 1
 
4.3%
占 1
 
4.3%
容 1
 
4.3%
家 1
 
4.3%
器 1
 
4.3%
急 1
 
4.3%
正 1
 
4.3%
所 1
 
4.3%
Other values (11) 11
47.8%

부문
Categorical

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
회화
1739 
종합
765 
공예
449 
한국화
385 
설치
381 
Other values (27)
876 

Length

Max length7
Median length2
Mean length2.2130577
Min length1

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
회화 1739
37.8%
종합 765
16.6%
공예 449
 
9.8%
한국화 385
 
8.4%
설치 381
 
8.3%
사진 238
 
5.2%
조각 180
 
3.9%
디자인 153
 
3.3%
서예 129
 
2.8%
영상, 설치 37
 
0.8%
Other values (22) 139
 
3.0%

Length

2023-12-13T07:49:35.851315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회화 1770
37.7%
종합 765
16.3%
설치 454
 
9.7%
공예 450
 
9.6%
한국화 385
 
8.2%
사진 238
 
5.1%
조각 207
 
4.4%
디자인 154
 
3.3%
서예 130
 
2.8%
영상 92
 
2.0%
Other values (9) 50
 
1.1%

Unnamed: 5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4594
Missing (%)> 99.9%
Memory size36.0 KiB
2023-12-13T07:49:35.989181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row여기까지
ValueCountFrequency (%)
여기까지 1
100.0%
2023-12-13T07:49:36.199554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
여 1
25.0%
기 1
25.0%
까 1
25.0%
지 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 1
25.0%
기 1
25.0%
까 1
25.0%
지 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 1
25.0%
기 1
25.0%
까 1
25.0%
지 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
여 1
25.0%
기 1
25.0%
까 1
25.0%
지 1
25.0%

Missing values

2023-12-13T07:49:33.124276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:49:33.246164image/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.
2023-12-13T07:49:33.354432image/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

일시행사명장소비고부문Unnamed: 5
0【1 월】<NA><NA><NA><NA><NA>
11.1-1.20김상유와 한국현대 판화전갤러리 다다<NA>회화<NA>
21.1-2.28Let’s Bible- 성서체험 전능동 어린이대공원 내 특설전시장<NA>종합<NA>
31.1-1.30임근희 전경인미술관아틀리에<NA>설치<NA>
41.1-1.31목기와 그림 전갤러리 서호<NA>회화<NA>
51.1-1.31꿈과 사랑이 담긴 작은 만남 전본화랑2005년의 캘린더 전시.디자인<NA>
61.1-1.31한국 중진작가 전갤러리아트링크<NA>회화<NA>
71.3-1.14이지영 전문신미술관 빛갤러리‘이미지와 소리’라는 부제로 밤길을 걸으며 포착한 이미지와 그 순간에 들려온 소리와 분위기를 함께 전달하고자 함.영상, 설치<NA>
81.3-1.15박금희 전그린포토갤러리크게 확대된 상품화된 남성 누드상. 스틸사진과 동영상 작업.사진<NA>
91.3-1.22이난희 전진미외식갤러리하우스<NA>회화<NA>
일시행사명장소비고부문Unnamed: 5
458512.28- 2006.1.19박노수 전서울시립미술관‘노저어 홀로 가듯이’라는 부제로 남정 박노수의 작품 소개.한국화<NA>
458612.28-\n2006.2.11양주혜 전아르코미술관‘길 끝의 길’이라는 부제로, 글자와 책장을 연상케 하는 색점들과 막들, 그리고 현대의 대표적인 도상인 바코드를 설치작품으로 표현함.설치<NA>
458712.28- 2006.2.12울림 전서울시립미술관‘Beyond *tion’이라는 부제로, 김순례, 김홍주, 노상균, 도윤희 등 11명 참여.회화<NA>
458812.28- 2006.2.19art talk 전두아트갤러리<NA>종합<NA>
458912.29- 2006.2.12세화견문록 전예술의전당미술관‘전통과 현대를 잇는 미술가 16인의 시각’이라는 부제로 열림. 구성연, 김태은, 데비 한, 서은애, 홍성담 등 참여.설치<NA>
459012.30-2006.1.5코픽마카 공모수상전알파갤러리<NA>회화<NA>
459112.30- 2006.1.8더 뉴게이트이스트 개관기념전 3 부더 뉴게이트이스트<NA>종합<NA>
459212.30-1.10장욱희 전갤러리 창<NA>회화<NA>
459312.31- 2006.1.5홍대 판화과 졸업 전갤러리호<NA>회화<NA>
459412.31- 2006.1.17김점선, 김중만 전갤러리 토포하우스김점선의 판화와 김중만의 사진이 걸린 2인전.종합<NA>

Duplicate rows

Most frequently occurring

행사명장소비고부문Unnamed: 5# duplicates
11<NA><NA><NA><NA><NA>12
0김명진 전관훈갤러리<NA>회화<NA>2
1김상미 전평화화랑<NA>조각<NA>2
2김철향 전나화랑<NA>회화<NA>2
3블라디미르 최 전밀알미술관<NA>회화<NA>2
4연대 화우회 전경인미술관<NA>회화<NA>2
5이미연 전가산화랑<NA>회화<NA>2
6이상영 전갤러리 룩스<NA>사진<NA>2
7패션 전해청미술관<NA>종합<NA>2
8한태상전물파아트센터<NA>서예<NA>2