Overview

Dataset statistics

Number of variables12
Number of observations224
Missing cells9
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory97.6 B

Variable types

Numeric1
Text9
DateTime1
Categorical1

Dataset

Description서울올림픽기념국민체육진흥공단 소마미술관에 대한 데이터로 조각작품명(한글, 영문), 크기, 재질, 작가, 제작년월, 설치장소 등을 제공합니다.
Author서울올림픽기념국민체육진흥공단
URLhttps://www.data.go.kr/data/3073866/fileData.do

Alerts

작품명(영문) has 3 (1.3%) missing valuesMissing
작품번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:40:27.043989
Analysis finished2023-12-12 22:40:28.384547
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작품번호
Real number (ℝ)

UNIQUE 

Distinct224
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.5
Minimum1
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T07:40:28.454622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.15
Q156.75
median112.5
Q3168.25
95-th percentile212.85
Maximum224
Range223
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation64.807407
Coefficient of variation (CV)0.57606584
Kurtosis-1.2
Mean112.5
Median Absolute Deviation (MAD)56
Skewness0
Sum25200
Variance4200
MonotonicityStrictly increasing
2023-12-13T07:40:28.627791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
114 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
Other values (214) 214
95.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%
215 1
0.4%

작품명(한글)
Text

Distinct204
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:28.980472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length20
Mean length6.6428571
Min length1

Characters and Unicode

Total characters1488
Distinct characters361
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)89.7%

Sample

1st row나는 안데스의 여인들
2nd row칼 조각
3rd row무한에 이르기까지의 여정
4th row올림픽을 위한 조각
5th row정상
ValueCountFrequency (%)
무제 18
 
4.2%
위한 9
 
2.1%
기둥 5
 
1.2%
세계 4
 
0.9%
88 3
 
0.7%
여인 3
 
0.7%
하늘 3
 
0.7%
기념비 3
 
0.7%
분수(fountain 3
 
0.7%
구성 3
 
0.7%
Other values (353) 378
87.5%
2023-12-13T07:40:29.821877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
14.0%
의 46
 
3.1%
무 25
 
1.7%
제 24
 
1.6%
. 21
 
1.4%
상 17
 
1.1%
8 17
 
1.1%
) 16
 
1.1%
기 16
 
1.1%
( 16
 
1.1%
Other values (351) 1082
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1059
71.2%
Space Separator 208
 
14.0%
Lowercase Letter 73
 
4.9%
Decimal Number 55
 
3.7%
Uppercase Letter 32
 
2.2%
Other Punctuation 27
 
1.8%
Close Punctuation 16
 
1.1%
Open Punctuation 16
 
1.1%
Dash Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 46
 
4.3%
무 25
 
2.4%
제 24
 
2.3%
상 17
 
1.6%
기 16
 
1.5%
한 15
 
1.4%
대 15
 
1.4%
인 14
 
1.3%
위 13
 
1.2%
지 13
 
1.2%
Other values (300) 861
81.3%
Lowercase Letter
ValueCountFrequency (%)
o 12
16.4%
n 10
13.7%
e 8
11.0%
t 7
9.6%
i 7
9.6%
a 5
6.8%
d 4
 
5.5%
u 4
 
5.5%
s 4
 
5.5%
f 3
 
4.1%
Other values (6) 9
12.3%
Uppercase Letter
ValueCountFrequency (%)
I 5
15.6%
X 4
12.5%
W 4
12.5%
V 3
9.4%
S 2
 
6.2%
L 2
 
6.2%
C 2
 
6.2%
M 2
 
6.2%
B 2
 
6.2%
E 1
 
3.1%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
8 17
30.9%
1 8
14.5%
2 7
12.7%
0 6
 
10.9%
5 5
 
9.1%
9 4
 
7.3%
4 3
 
5.5%
6 2
 
3.6%
7 2
 
3.6%
3 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 21
77.8%
, 2
 
7.4%
/ 2
 
7.4%
& 1
 
3.7%
; 1
 
3.7%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1058
71.1%
Common 323
 
21.7%
Latin 106
 
7.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 46
 
4.3%
무 25
 
2.4%
제 24
 
2.3%
상 17
 
1.6%
기 16
 
1.5%
한 15
 
1.4%
대 15
 
1.4%
인 14
 
1.3%
위 13
 
1.2%
지 13
 
1.2%
Other values (299) 860
81.3%
Latin
ValueCountFrequency (%)
o 12
 
11.3%
n 10
 
9.4%
e 8
 
7.5%
t 7
 
6.6%
i 7
 
6.6%
I 5
 
4.7%
a 5
 
4.7%
X 4
 
3.8%
W 4
 
3.8%
d 4
 
3.8%
Other values (22) 40
37.7%
Common
ValueCountFrequency (%)
208
64.4%
. 21
 
6.5%
8 17
 
5.3%
) 16
 
5.0%
( 16
 
5.0%
1 8
 
2.5%
2 7
 
2.2%
0 6
 
1.9%
5 5
 
1.5%
9 4
 
1.2%
Other values (9) 15
 
4.6%
Han
ValueCountFrequency (%)
緣 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1058
71.1%
ASCII 428
28.8%
CJK 1
 
0.1%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
48.6%
. 21
 
4.9%
8 17
 
4.0%
) 16
 
3.7%
( 16
 
3.7%
o 12
 
2.8%
n 10
 
2.3%
1 8
 
1.9%
e 8
 
1.9%
2 7
 
1.6%
Other values (40) 105
24.5%
Hangul
ValueCountFrequency (%)
의 46
 
4.3%
무 25
 
2.4%
제 24
 
2.3%
상 17
 
1.6%
기 16
 
1.5%
한 15
 
1.4%
대 15
 
1.4%
인 14
 
1.3%
위 13
 
1.2%
지 13
 
1.2%
Other values (299) 860
81.3%
CJK
ValueCountFrequency (%)
緣 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

작품명(영문)
Text

MISSING 

Distinct200
Distinct (%)90.5%
Missing3
Missing (%)1.3%
Memory size1.9 KiB
2023-12-13T07:40:30.162762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length31
Mean length13.81448
Min length3

Characters and Unicode

Total characters3053
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)88.7%

Sample

1st rowAndean woman in flight
2nd rowKnife Sculpture
3rd rowItinerary to the void
4th rowSculpture for Olympics
5th rowTo the top
ValueCountFrequency (%)
the 27
 
5.3%
of 19
 
3.8%
untitled 18
 
3.6%
for 13
 
2.6%
and 8
 
1.6%
in 7
 
1.4%
seoul 6
 
1.2%
to 5
 
1.0%
monument 5
 
1.0%
with 5
 
1.0%
Other values (337) 392
77.6%
2023-12-13T07:40:30.653047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
9.4%
e 257
 
8.4%
o 242
 
7.9%
n 205
 
6.7%
t 200
 
6.6%
i 185
 
6.1%
a 173
 
5.7%
r 165
 
5.4%
l 133
 
4.4%
s 127
 
4.2%
Other values (63) 1080
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2398
78.5%
Space Separator 286
 
9.4%
Uppercase Letter 266
 
8.7%
Decimal Number 51
 
1.7%
Other Punctuation 45
 
1.5%
Letter Number 3
 
0.1%
Dash Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 257
10.7%
o 242
 
10.1%
n 205
 
8.5%
t 200
 
8.3%
i 185
 
7.7%
a 173
 
7.2%
r 165
 
6.9%
l 133
 
5.5%
s 127
 
5.3%
d 85
 
3.5%
Other values (16) 626
26.1%
Uppercase Letter
ValueCountFrequency (%)
S 29
 
10.9%
T 25
 
9.4%
C 24
 
9.0%
U 21
 
7.9%
A 20
 
7.5%
M 17
 
6.4%
W 16
 
6.0%
L 12
 
4.5%
P 12
 
4.5%
O 11
 
4.1%
Other values (15) 79
29.7%
Decimal Number
ValueCountFrequency (%)
8 18
35.3%
1 9
17.6%
0 7
 
13.7%
2 5
 
9.8%
5 4
 
7.8%
9 3
 
5.9%
7 2
 
3.9%
4 2
 
3.9%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 29
64.4%
' 9
 
20.0%
: 2
 
4.4%
/ 2
 
4.4%
, 1
 
2.2%
; 1
 
2.2%
& 1
 
2.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2667
87.4%
Common 386
 
12.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 257
 
9.6%
o 242
 
9.1%
n 205
 
7.7%
t 200
 
7.5%
i 185
 
6.9%
a 173
 
6.5%
r 165
 
6.2%
l 133
 
5.0%
s 127
 
4.8%
d 85
 
3.2%
Other values (43) 895
33.6%
Common
ValueCountFrequency (%)
286
74.1%
. 29
 
7.5%
8 18
 
4.7%
' 9
 
2.3%
1 9
 
2.3%
0 7
 
1.8%
2 5
 
1.3%
5 4
 
1.0%
9 3
 
0.8%
: 2
 
0.5%
Other values (10) 14
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3050
99.9%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
 
9.4%
e 257
 
8.4%
o 242
 
7.9%
n 205
 
6.7%
t 200
 
6.6%
i 185
 
6.1%
a 173
 
5.7%
r 165
 
5.4%
l 133
 
4.4%
s 127
 
4.2%
Other values (61) 1077
35.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

크기
Text

Distinct218
Distinct (%)98.2%
Missing2
Missing (%)0.9%
Memory size1.9 KiB
2023-12-13T07:40:30.929516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length15
Mean length15.666667
Min length7

Characters and Unicode

Total characters3478
Distinct characters33
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)96.4%

Sample

1st row4.3X2.8X3.8 (m)
2nd row3.2X3.2X4.0 (m)
3rd row6.0X0.6X7.1 (m)
4th row5.2X4.4X6.2 (m)
5th row3.2X5.0X9.0 (m)
ValueCountFrequency (%)
m 209
46.5%
100*200*300 2
 
0.4%
0.5x0.5x2.0 2
 
0.4%
0.4x0.4x1.5 2
 
0.4%
67.0x2.2 2
 
0.4%
5.9x3.6x2.5 1
 
0.2%
2.4 1
 
0.2%
h 1
 
0.2%
3.7x1.6x2.2 1
 
0.2%
1.3x1.4x3.2 1
 
0.2%
Other values (227) 227
50.6%
2023-12-13T07:40:31.349820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 631
18.1%
X 426
12.2%
0 378
10.9%
227
 
6.5%
m 226
 
6.5%
( 219
 
6.3%
) 218
 
6.3%
1 216
 
6.2%
2 202
 
5.8%
3 150
 
4.3%
Other values (23) 585
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1466
42.2%
Other Punctuation 645
18.5%
Uppercase Letter 427
 
12.3%
Lowercase Letter 262
 
7.5%
Space Separator 227
 
6.5%
Open Punctuation 219
 
6.3%
Close Punctuation 218
 
6.3%
Other Letter 14
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 378
25.8%
1 216
14.7%
2 202
13.8%
3 150
 
10.2%
5 125
 
8.5%
4 109
 
7.4%
6 87
 
5.9%
8 77
 
5.3%
7 75
 
5.1%
9 47
 
3.2%
Other Letter
ValueCountFrequency (%)
개 4
28.6%
자 2
14.3%
지 2
14.3%
층 2
14.3%
노 1
 
7.1%
공 1
 
7.1%
하 1
 
7.1%
상 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 631
97.8%
, 7
 
1.1%
* 4
 
0.6%
: 2
 
0.3%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
m 226
86.3%
x 21
 
8.0%
c 13
 
5.0%
k 1
 
0.4%
g 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
X 426
99.8%
H 1
 
0.2%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2775
79.8%
Latin 689
 
19.8%
Hangul 14
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 631
22.7%
0 378
13.6%
227
 
8.2%
( 219
 
7.9%
) 218
 
7.9%
1 216
 
7.8%
2 202
 
7.3%
3 150
 
5.4%
5 125
 
4.5%
4 109
 
3.9%
Other values (8) 300
10.8%
Hangul
ValueCountFrequency (%)
개 4
28.6%
자 2
14.3%
지 2
14.3%
층 2
14.3%
노 1
 
7.1%
공 1
 
7.1%
하 1
 
7.1%
상 1
 
7.1%
Latin
ValueCountFrequency (%)
X 426
61.8%
m 226
32.8%
x 21
 
3.0%
c 13
 
1.9%
k 1
 
0.1%
g 1
 
0.1%
H 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3464
99.6%
Hangul 14
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 631
18.2%
X 426
12.3%
0 378
10.9%
227
 
6.6%
m 226
 
6.5%
( 219
 
6.3%
) 218
 
6.3%
1 216
 
6.2%
2 202
 
5.8%
3 150
 
4.3%
Other values (15) 571
16.5%
Hangul
ValueCountFrequency (%)
개 4
28.6%
자 2
14.3%
지 2
14.3%
층 2
14.3%
노 1
 
7.1%
공 1
 
7.1%
하 1
 
7.1%
상 1
 
7.1%

재질
Text

Distinct66
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:31.579004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length15.71875
Min length4

Characters and Unicode

Total characters3521
Distinct characters122
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

Unique44 ?
Unique (%)19.6%

Sample

1st row청동(Bronze)
2nd row나무(Wood), 철(Iron), 돌(Stone), 밧줄(Rope)
3rd row스테인레스 스틸(Stainless steel), 철(Iron)
4th row철(Iron)
5th row화강암(Granite)
ValueCountFrequency (%)
철(iron 64
17.5%
청동(bronze 35
 
9.6%
화강암(granite 34
 
9.3%
steel 26
 
7.1%
스틸(stainless 21
 
5.8%
스테인레스 20
 
5.5%
나무(wood 18
 
4.9%
콘크리트(concrete 14
 
3.8%
합성수지(synthetic 12
 
3.3%
resins 12
 
3.3%
Other values (47) 109
29.9%
2023-12-13T07:40:31.889582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 281
 
8.0%
( 281
 
8.0%
e 273
 
7.8%
n 244
 
6.9%
r 210
 
6.0%
o 194
 
5.5%
t 158
 
4.5%
142
 
4.0%
i 120
 
3.4%
s 108
 
3.1%
Other values (112) 1510
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1697
48.2%
Other Letter 786
22.3%
Close Punctuation 281
 
8.0%
Open Punctuation 281
 
8.0%
Uppercase Letter 274
 
7.8%
Space Separator 142
 
4.0%
Other Punctuation 60
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 78
 
9.9%
철 69
 
8.8%
동 37
 
4.7%
암 36
 
4.6%
청 35
 
4.5%
리 35
 
4.5%
화 35
 
4.5%
강 34
 
4.3%
틸 32
 
4.1%
인 24
 
3.1%
Other values (69) 371
47.2%
Lowercase Letter
ValueCountFrequency (%)
e 273
16.1%
n 244
14.4%
r 210
12.4%
o 194
11.4%
t 158
9.3%
i 120
7.1%
s 108
 
6.4%
a 84
 
4.9%
l 84
 
4.9%
c 43
 
2.5%
Other values (14) 179
10.5%
Uppercase Letter
ValueCountFrequency (%)
I 64
23.4%
S 42
15.3%
B 40
14.6%
G 37
13.5%
C 32
11.7%
W 18
 
6.6%
M 17
 
6.2%
A 10
 
3.6%
L 4
 
1.5%
R 3
 
1.1%
Other values (5) 7
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 281
100.0%
Space Separator
ValueCountFrequency (%)
142
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1971
56.0%
Hangul 786
 
22.3%
Common 764
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 78
 
9.9%
철 69
 
8.8%
동 37
 
4.7%
암 36
 
4.6%
청 35
 
4.5%
리 35
 
4.5%
화 35
 
4.5%
강 34
 
4.3%
틸 32
 
4.1%
인 24
 
3.1%
Other values (69) 371
47.2%
Latin
ValueCountFrequency (%)
e 273
13.9%
n 244
12.4%
r 210
10.7%
o 194
9.8%
t 158
 
8.0%
i 120
 
6.1%
s 108
 
5.5%
a 84
 
4.3%
l 84
 
4.3%
I 64
 
3.2%
Other values (29) 432
21.9%
Common
ValueCountFrequency (%)
) 281
36.8%
( 281
36.8%
142
18.6%
, 60
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2735
77.7%
Hangul 786
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 281
 
10.3%
( 281
 
10.3%
e 273
 
10.0%
n 244
 
8.9%
r 210
 
7.7%
o 194
 
7.1%
t 158
 
5.8%
142
 
5.2%
i 120
 
4.4%
s 108
 
3.9%
Other values (33) 724
26.5%
Hangul
ValueCountFrequency (%)
스 78
 
9.9%
철 69
 
8.8%
동 37
 
4.7%
암 36
 
4.6%
청 35
 
4.5%
리 35
 
4.5%
화 35
 
4.5%
강 34
 
4.3%
틸 32
 
4.1%
인 24
 
3.1%
Other values (69) 371
47.2%

작가(한글)
Text

Distinct218
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:32.084189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length7.1473214
Min length2

Characters and Unicode

Total characters1601
Distinct characters313
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

Unique215 ?
Unique (%)96.0%

Sample

1st row마리나 누네스 델 프라도
2nd row귄터 위커
3rd row신따로 다나까
4th row에른스트 하젠브로이크
5th row요젭 얀코비치
ValueCountFrequency (%)
백남준 5
 
1.2%
호세 4
 
0.9%
마리아 3
 
0.7%
폴 3
 
0.7%
데 3
 
0.7%
반 2
 
0.5%
호셉 2
 
0.5%
수비라치 2
 
0.5%
나이젤 2
 
0.5%
마르타 2
 
0.5%
Other values (396) 405
93.5%
2023-12-13T07:40:32.389210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
13.4%
스 63
 
3.9%
르 43
 
2.7%
라 40
 
2.5%
리 39
 
2.4%
마 33
 
2.1%
이 30
 
1.9%
아 30
 
1.9%
로 26
 
1.6%
, 26
 
1.6%
Other values (303) 1057
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
82.3%
Space Separator 214
 
13.4%
Lowercase Letter 29
 
1.8%
Other Punctuation 27
 
1.7%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 63
 
4.8%
르 43
 
3.3%
라 40
 
3.0%
리 39
 
3.0%
마 33
 
2.5%
이 30
 
2.3%
아 30
 
2.3%
로 26
 
2.0%
드 23
 
1.7%
오 20
 
1.5%
Other values (280) 970
73.7%
Lowercase Letter
ValueCountFrequency (%)
a 4
13.8%
o 4
13.8%
e 3
10.3%
r 3
10.3%
n 3
10.3%
u 2
6.9%
t 2
6.9%
p 2
6.9%
m 1
 
3.4%
l 1
 
3.4%
Other values (4) 4
13.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
I 1
25.0%
T 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
/ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
82.3%
Common 251
 
15.7%
Latin 33
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 63
 
4.8%
르 43
 
3.3%
라 40
 
3.0%
리 39
 
3.0%
마 33
 
2.5%
이 30
 
2.3%
아 30
 
2.3%
로 26
 
2.0%
드 23
 
1.7%
오 20
 
1.5%
Other values (280) 970
73.7%
Latin
ValueCountFrequency (%)
a 4
12.1%
o 4
12.1%
e 3
 
9.1%
r 3
 
9.1%
n 3
 
9.1%
u 2
 
6.1%
t 2
 
6.1%
p 2
 
6.1%
m 1
 
3.0%
l 1
 
3.0%
Other values (8) 8
24.2%
Common
ValueCountFrequency (%)
214
85.3%
, 26
 
10.4%
( 5
 
2.0%
) 5
 
2.0%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
82.3%
ASCII 284
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
75.4%
, 26
 
9.2%
( 5
 
1.8%
) 5
 
1.8%
a 4
 
1.4%
o 4
 
1.4%
e 3
 
1.1%
r 3
 
1.1%
n 3
 
1.1%
u 2
 
0.7%
Other values (13) 15
 
5.3%
Hangul
ValueCountFrequency (%)
스 63
 
4.8%
르 43
 
3.3%
라 40
 
3.0%
리 39
 
3.0%
마 33
 
2.5%
이 30
 
2.3%
아 30
 
2.3%
로 26
 
2.0%
드 23
 
1.7%
오 20
 
1.5%
Other values (280) 970
73.7%

작가(영문)
Text

Distinct217
Distinct (%)97.7%
Missing2
Missing (%)0.9%
Memory size1.9 KiB
2023-12-13T07:40:32.647955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length14.144144
Min length5

Characters and Unicode

Total characters3140
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)95.9%

Sample

1st rowMarina Nunez del Prado
2nd rowGunther Uecker
3rd rowShintaroh Tanaka
4th rowErnest Hazenbroek
5th rowJosef Jankovic
ValueCountFrequency (%)
lee 6
 
1.3%
park 5
 
1.1%
choi 4
 
0.9%
kim 4
 
0.9%
baek 3
 
0.7%
maria 3
 
0.7%
van 3
 
0.7%
nam-jun 3
 
0.7%
de 3
 
0.7%
nigel 2
 
0.4%
Other values (396) 414
92.0%
2023-12-13T07:40:33.017265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 301
 
9.6%
e 246
 
7.8%
n 230
 
7.3%
230
 
7.3%
o 218
 
6.9%
i 196
 
6.2%
r 175
 
5.6%
l 114
 
3.6%
s 108
 
3.4%
u 108
 
3.4%
Other values (46) 1214
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2355
75.0%
Uppercase Letter 456
 
14.5%
Space Separator 230
 
7.3%
Other Punctuation 76
 
2.4%
Dash Punctuation 23
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 301
12.8%
e 246
10.4%
n 230
9.8%
o 218
 
9.3%
i 196
 
8.3%
r 175
 
7.4%
l 114
 
4.8%
s 108
 
4.6%
u 108
 
4.6%
g 86
 
3.7%
Other values (16) 573
24.3%
Uppercase Letter
ValueCountFrequency (%)
M 45
 
9.9%
S 42
 
9.2%
C 36
 
7.9%
B 28
 
6.1%
A 27
 
5.9%
J 26
 
5.7%
P 25
 
5.5%
K 25
 
5.5%
L 22
 
4.8%
H 20
 
4.4%
Other values (15) 160
35.1%
Other Punctuation
ValueCountFrequency (%)
, 38
50.0%
. 34
44.7%
' 4
 
5.3%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2811
89.5%
Common 329
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 301
 
10.7%
e 246
 
8.8%
n 230
 
8.2%
o 218
 
7.8%
i 196
 
7.0%
r 175
 
6.2%
l 114
 
4.1%
s 108
 
3.8%
u 108
 
3.8%
g 86
 
3.1%
Other values (41) 1029
36.6%
Common
ValueCountFrequency (%)
230
69.9%
, 38
 
11.6%
. 34
 
10.3%
- 23
 
7.0%
' 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 301
 
9.6%
e 246
 
7.8%
n 230
 
7.3%
230
 
7.3%
o 218
 
6.9%
i 196
 
6.2%
r 175
 
5.6%
l 114
 
3.6%
s 108
 
3.4%
u 108
 
3.4%
Other values (46) 1214
38.7%

국적
Text

Distinct66
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:33.216476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length13.325893
Min length7

Characters and Unicode

Total characters2985
Distinct characters157
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

Unique22 ?
Unique (%)9.8%

Sample

1st row볼리비아(Bolivia)
2nd row독일(Germany)
3rd row일본(Japan)
4th row네덜란드(Netherlands)
5th row체코슬로바키아(Czechoslovakia)
ValueCountFrequency (%)
대한민국(south 41
 
14.6%
korea 40
 
14.3%
미국(usa 9
 
3.2%
프랑스(france 8
 
2.9%
독일(germany 8
 
2.9%
이탈리아(italy 8
 
2.9%
스페인(spain 8
 
2.9%
일본(japan 7
 
2.5%
중국(china 6
 
2.1%
러시아(russia 6
 
2.1%
Other values (66) 139
49.6%
2023-12-13T07:40:33.517655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 225
 
7.5%
( 225
 
7.5%
) 225
 
7.5%
e 152
 
5.1%
o 131
 
4.4%
r 116
 
3.9%
n 112
 
3.8%
i 98
 
3.3%
u 92
 
3.1%
t 81
 
2.7%
Other values (147) 1528
51.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1398
46.8%
Other Letter 783
26.2%
Uppercase Letter 297
 
9.9%
Open Punctuation 225
 
7.5%
Close Punctuation 225
 
7.5%
Space Separator 56
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 62
 
7.9%
아 46
 
5.9%
스 42
 
5.4%
한 41
 
5.2%
대 41
 
5.2%
민 41
 
5.2%
리 31
 
4.0%
이 24
 
3.1%
일 21
 
2.7%
라 15
 
1.9%
Other values (97) 419
53.5%
Lowercase Letter
ValueCountFrequency (%)
a 225
16.1%
e 152
10.9%
o 131
9.4%
r 116
8.3%
n 112
8.0%
i 98
 
7.0%
u 92
 
6.6%
t 81
 
5.8%
l 65
 
4.6%
h 60
 
4.3%
Other values (14) 266
19.0%
Uppercase Letter
ValueCountFrequency (%)
S 65
21.9%
K 47
15.8%
C 23
 
7.7%
A 22
 
7.4%
I 21
 
7.1%
U 17
 
5.7%
G 13
 
4.4%
R 12
 
4.0%
B 12
 
4.0%
P 11
 
3.7%
Other values (12) 54
18.2%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1695
56.8%
Hangul 783
26.2%
Common 507
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 62
 
7.9%
아 46
 
5.9%
스 42
 
5.4%
한 41
 
5.2%
대 41
 
5.2%
민 41
 
5.2%
리 31
 
4.0%
이 24
 
3.1%
일 21
 
2.7%
라 15
 
1.9%
Other values (97) 419
53.5%
Latin
ValueCountFrequency (%)
a 225
13.3%
e 152
 
9.0%
o 131
 
7.7%
r 116
 
6.8%
n 112
 
6.6%
i 98
 
5.8%
u 92
 
5.4%
t 81
 
4.8%
S 65
 
3.8%
l 65
 
3.8%
Other values (36) 558
32.9%
Common
ValueCountFrequency (%)
( 225
44.4%
) 225
44.4%
56
 
11.0%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2202
73.8%
Hangul 783
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 225
 
10.2%
( 225
 
10.2%
) 225
 
10.2%
e 152
 
6.9%
o 131
 
5.9%
r 116
 
5.3%
n 112
 
5.1%
i 98
 
4.5%
u 92
 
4.2%
t 81
 
3.7%
Other values (40) 745
33.8%
Hangul
ValueCountFrequency (%)
국 62
 
7.9%
아 46
 
5.9%
스 42
 
5.4%
한 41
 
5.2%
대 41
 
5.2%
민 41
 
5.2%
리 31
 
4.0%
이 24
 
3.1%
일 21
 
2.7%
라 15
 
1.9%
Other values (97) 419
53.5%

제작년월
Date

Distinct21
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1987-09-30 00:00:00
Maximum2014-12-22 00:00:00
2023-12-13T07:40:33.618436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:40:33.731807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

설치장소
Text

Distinct57
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T07:40:33.944474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length21.285714
Min length3

Characters and Unicode

Total characters4768
Distinct characters145
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)14.7%

Sample

1st row수영장 인근(Around the swimming pool)
2nd row88호수 옆(Next to Lake 88)
3rd row88호수 주변(Around Lake 88)
4th row수영장 옆(Next to the swimming pool)
5th row88호수 옆(Next to Lake 88)
ValueCountFrequency (%)
조각의 55
 
7.6%
wood 55
 
7.6%
숲(sculpture 54
 
7.4%
주변(around 33
 
4.5%
prairie 31
 
4.3%
미술관 30
 
4.1%
the 30
 
4.1%
soma 25
 
3.4%
수장고(storage 24
 
3.3%
대초원(the 22
 
3.0%
Other values (107) 367
50.6%
2023-12-13T07:40:34.292983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
503
 
10.5%
e 287
 
6.0%
o 285
 
6.0%
r 254
 
5.3%
) 223
 
4.7%
( 223
 
4.7%
t 209
 
4.4%
u 161
 
3.4%
a 161
 
3.4%
n 156
 
3.3%
Other values (135) 2306
48.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2278
47.8%
Other Letter 897
 
18.8%
Uppercase Letter 538
 
11.3%
Space Separator 503
 
10.5%
Close Punctuation 223
 
4.7%
Open Punctuation 223
 
4.7%
Decimal Number 104
 
2.2%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 69
 
7.7%
조 58
 
6.5%
각 55
 
6.1%
숲 55
 
6.1%
장 48
 
5.4%
관 40
 
4.5%
주 36
 
4.0%
수 36
 
4.0%
미 34
 
3.8%
술 33
 
3.7%
Other values (83) 433
48.3%
Lowercase Letter
ValueCountFrequency (%)
e 287
12.6%
o 285
12.5%
r 254
11.2%
t 209
9.2%
u 161
 
7.1%
a 161
 
7.1%
n 156
 
6.8%
i 126
 
5.5%
d 126
 
5.5%
l 107
 
4.7%
Other values (14) 406
17.8%
Uppercase Letter
ValueCountFrequency (%)
S 121
22.5%
A 81
15.1%
W 60
11.2%
P 57
10.6%
M 42
 
7.8%
T 36
 
6.7%
O 36
 
6.7%
G 27
 
5.0%
I 22
 
4.1%
C 17
 
3.2%
Other values (8) 39
 
7.2%
Decimal Number
ValueCountFrequency (%)
8 76
73.1%
2 12
 
11.5%
3 6
 
5.8%
4 6
 
5.8%
1 4
 
3.8%
Space Separator
ValueCountFrequency (%)
503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2816
59.1%
Common 1055
 
22.1%
Hangul 897
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 69
 
7.7%
조 58
 
6.5%
각 55
 
6.1%
숲 55
 
6.1%
장 48
 
5.4%
관 40
 
4.5%
주 36
 
4.0%
수 36
 
4.0%
미 34
 
3.8%
술 33
 
3.7%
Other values (83) 433
48.3%
Latin
ValueCountFrequency (%)
e 287
 
10.2%
o 285
 
10.1%
r 254
 
9.0%
t 209
 
7.4%
u 161
 
5.7%
a 161
 
5.7%
n 156
 
5.5%
i 126
 
4.5%
d 126
 
4.5%
S 121
 
4.3%
Other values (32) 930
33.0%
Common
ValueCountFrequency (%)
503
47.7%
) 223
21.1%
( 223
21.1%
8 76
 
7.2%
2 12
 
1.1%
3 6
 
0.6%
4 6
 
0.6%
1 4
 
0.4%
“ 1
 
0.1%
” 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3869
81.1%
Hangul 897
 
18.8%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
503
 
13.0%
e 287
 
7.4%
o 285
 
7.4%
r 254
 
6.6%
) 223
 
5.8%
( 223
 
5.8%
t 209
 
5.4%
u 161
 
4.2%
a 161
 
4.2%
n 156
 
4.0%
Other values (40) 1407
36.4%
Hangul
ValueCountFrequency (%)
의 69
 
7.7%
조 58
 
6.5%
각 55
 
6.1%
숲 55
 
6.1%
장 48
 
5.4%
관 40
 
4.5%
주 36
 
4.0%
수 36
 
4.0%
미 34
 
3.8%
술 33
 
3.7%
Other values (83) 433
48.3%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

작품출처
Categorical

Distinct10
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
조각초대전(Sculpture invitation exhibition)
154 
2차 심포지움(2nd symposium)
18 
1차 심포지움(1st symposium)
17 
10주년 심포지움(10th anniversary symposium)
 
11
기념조형물(Honorary monument)
 
8
Other values (5)
16 

Length

Max length42
Median length38
Mean length33.941964
Min length4

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row조각초대전(Sculpture invitation exhibition)
2nd row2차 심포지움(2nd symposium)
3rd row조각초대전(Sculpture invitation exhibition)
4th row조각초대전(Sculpture invitation exhibition)
5th row1차 심포지움(1st symposium)

Common Values

ValueCountFrequency (%)
조각초대전(Sculpture invitation exhibition) 154
68.8%
2차 심포지움(2nd symposium) 18
 
8.0%
1차 심포지움(1st symposium) 17
 
7.6%
10주년 심포지움(10th anniversary symposium) 11
 
4.9%
기념조형물(Honorary monument) 8
 
3.6%
기증(Donation) 7
 
3.1%
비디오아트홀 작품구입(Purchased from Video Art Hall) 6
 
2.7%
재제작 설치(Reproduction and installation) 1
 
0.4%
조각초대전 1
 
0.4%
조각초대 1
 
0.4%

Length

2023-12-13T07:40:34.431121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:34.543832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조각초대전(sculpture 154
22.8%
invitation 154
22.8%
exhibition 154
22.8%
symposium 46
 
6.8%
2차 18
 
2.7%
심포지움(2nd 18
 
2.7%
1차 17
 
2.5%
심포지움(1st 17
 
2.5%
10주년 11
 
1.6%
심포지움(10th 11
 
1.6%
Other values (16) 76
11.2%

작품이미지 주소
Text

Distinct222
Distinct (%)100.0%
Missing2
Missing (%)0.9%
Memory size1.9 KiB
2023-12-13T07:40:34.863252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length101
Mean length101
Min length101

Characters and Unicode

Total characters22422
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)100.0%

Sample

1st rowhttps://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/a9bc8e71-3bb3-4a62-9be1-c3c237450e71.jpg
2nd rowhttps://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/734dac24-6464-43d5-89a2-168efe9b087a.jpg
3rd rowhttps://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/60750757-0fad-4a76-a333-af19703e63be.jpg
4th rowhttps://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/b1a1baf9-9e5f-45f9-9be1-86ba7631cf24.jpg
5th rowhttps://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/b26eafe3-8ee2-45a1-b722-630bb7a799f1.jpg
ValueCountFrequency (%)
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/0787115f-d66f-4f90-bf36-f4e51b9a3f23.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/e98b2734-6e46-4f58-a931-7fa76ab1a9c3.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/db334143-deb5-4252-9380-8115f3d31cc2.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/75f69ebe-af77-4d4f-8225-6ef2c0e43c33.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/4347c917-dd45-44fe-91c6-de42cda21b16.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/9155f1b1-5b94-4687-8f0c-9a2d550ce9d4.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/752fd947-71f2-4d64-a326-c042fe27a75a.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/c8d44d2b-a2c3-46d9-9389-daae11e71f77.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/7f2b50fc-1248-4351-9494-53d8b4b6e55c.jpg 1
 
0.5%
https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/3666d322-61e4-41c0-84f2-425c769bffd1.jpg 1
 
0.5%
Other values (212) 212
95.5%
2023-12-13T07:40:35.281018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1998
 
8.9%
a 1368
 
6.1%
e 1339
 
6.0%
p 1110
 
5.0%
2 1108
 
4.9%
- 888
 
4.0%
s 888
 
4.0%
o 888
 
4.0%
. 888
 
4.0%
1 877
 
3.9%
Other values (25) 11070
49.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11987
53.5%
Decimal Number 6217
27.7%
Other Punctuation 3108
 
13.9%
Dash Punctuation 888
 
4.0%
Connector Punctuation 222
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1368
 
11.4%
e 1339
 
11.2%
p 1110
 
9.3%
s 888
 
7.4%
o 888
 
7.4%
c 642
 
5.4%
f 631
 
5.3%
d 631
 
5.3%
b 494
 
4.1%
l 444
 
3.7%
Other values (10) 3552
29.6%
Decimal Number
ValueCountFrequency (%)
2 1108
17.8%
1 877
14.1%
8 662
10.6%
6 643
10.3%
0 625
10.1%
4 603
9.7%
9 441
 
7.1%
5 427
 
6.9%
7 422
 
6.8%
3 409
 
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 1998
64.3%
. 888
28.6%
: 222
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 888
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11987
53.5%
Common 10435
46.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1368
 
11.4%
e 1339
 
11.2%
p 1110
 
9.3%
s 888
 
7.4%
o 888
 
7.4%
c 642
 
5.4%
f 631
 
5.3%
d 631
 
5.3%
b 494
 
4.1%
l 444
 
3.7%
Other values (10) 3552
29.6%
Common
ValueCountFrequency (%)
/ 1998
19.1%
2 1108
10.6%
- 888
8.5%
. 888
8.5%
1 877
8.4%
8 662
 
6.3%
6 643
 
6.2%
0 625
 
6.0%
4 603
 
5.8%
9 441
 
4.2%
Other values (5) 1702
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1998
 
8.9%
a 1368
 
6.1%
e 1339
 
6.0%
p 1110
 
5.0%
2 1108
 
4.9%
- 888
 
4.0%
s 888
 
4.0%
o 888
 
4.0%
. 888
 
4.0%
1 877
 
3.9%
Other values (25) 11070
49.4%

Interactions

2023-12-13T07:40:27.907895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:40:35.372748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작품번호재질국적제작년월설치장소작품출처
작품번호1.0000.5540.3810.5020.9400.602
재질0.5541.0000.0000.9420.8660.895
국적0.3810.0001.0000.0000.0000.000
제작년월0.5020.9420.0001.0000.9580.965
설치장소0.9400.8660.0000.9581.0000.921
작품출처0.6020.8950.0000.9650.9211.000
2023-12-13T07:40:35.467504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작품번호작품출처
작품번호1.0000.223
작품출처0.2231.000

Missing values

2023-12-13T07:40:28.064338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:40:28.222716image/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.
2023-12-13T07:40:28.324238image/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

작품번호작품명(한글)작품명(영문)크기재질작가(한글)작가(영문)국적제작년월설치장소작품출처작품이미지 주소
01나는 안데스의 여인들Andean woman in flight4.3X2.8X3.8 (m)청동(Bronze)마리나 누네스 델 프라도Marina Nunez del Prado볼리비아(Bolivia)1988-09-30수영장 인근(Around the swimming pool)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/a9bc8e71-3bb3-4a62-9be1-c3c237450e71.jpg
12칼 조각Knife Sculpture3.2X3.2X4.0 (m)나무(Wood), 철(Iron), 돌(Stone), 밧줄(Rope)귄터 위커Gunther Uecker독일(Germany)1988-04-3088호수 옆(Next to Lake 88)2차 심포지움(2nd symposium)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/734dac24-6464-43d5-89a2-168efe9b087a.jpg
23무한에 이르기까지의 여정Itinerary to the void6.0X0.6X7.1 (m)스테인레스 스틸(Stainless steel), 철(Iron)신따로 다나까Shintaroh Tanaka일본(Japan)1988-09-3088호수 주변(Around Lake 88)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/60750757-0fad-4a76-a333-af19703e63be.jpg
34올림픽을 위한 조각Sculpture for Olympics5.2X4.4X6.2 (m)철(Iron)에른스트 하젠브로이크Ernest Hazenbroek네덜란드(Netherlands)1988-09-30수영장 옆(Next to the swimming pool)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/b1a1baf9-9e5f-45f9-9be1-86ba7631cf24.jpg
45정상To the top3.2X5.0X9.0 (m)화강암(Granite)요젭 얀코비치Josef Jankovic체코슬로바키아(Czechoslovakia)1987-09-3088호수 옆(Next to Lake 88)1차 심포지움(1st symposium)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/b26eafe3-8ee2-45a1-b722-630bb7a799f1.jpg
56무제Untitled3.2X3.2X6.0 (m)화강암(Granite)알베르토 구즈만Alberto Guzman페루(Peru)1987-09-30남2문 주차장(South Gate 2 Parking Lot)1차 심포지움(1st symposium)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/ba63e79e-f534-461c-aab2-0658caf5f399.jpg
67무한대의 다리Bridge of eternity7.5X6.0X12.0 (m)코르텐 스틸(Corten steel)호르헤 뒤봉Jorge Du Bon멕시코(Mexico)1988-04-30북2문 앞(In front of North Gate 2)2차 심포지움(2nd symposium)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/6b3c3347-f40a-468d-8b9b-4ab9dab67750.jpg
78무제Untitled0.7X0.8X2.2 (m)대리석(Marble)조셉 바스부스Joseph Basbous레바논(Lebanon)1988-09-3088호수 옆(Next to Lake 88)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/4b058d15-ecf2-42dc-b8a4-70f32dbe1bd5.jpg
89축적 87.07Accumulation 87.0711.6X15.0X7.0 (m)화강암(Granite)박석원Park, Suk.won대한민국(South Korea)1987-09-3088호수 옆(Next to Lake 88)1차 심포지움(1st symposium)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/81e948e7-5612-4a7b-b0e3-d4a6b601195a.jpg
910호수의 부인Lady at the lake0.6X0.6X1.5 (m)구리(Copper)라인후드Reinhiud벨기에(Belgium)1988-09-3088호수(Lake 88)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/d6f6fb58-74d2-489d-b56b-d44f424f8b48.jpg
작품번호작품명(한글)작품명(영문)크기재질작가(한글)작가(영문)국적제작년월설치장소작품출처작품이미지 주소
214215무희Dancer0.6X0.5X1.7 (m)청동(Bronze)리욜로, 림베 음푸앙가Liyolo-Limbe M' puanga자이르(Zaire)1988-09-30수장고(Storage)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/1eccc5f5-8282-43de-be0d-135f6192ffab.jpg
215216여인의 흉상Upright torso0.7X0.5X1.7 (m)콘크리트(Concrete)포르스터, 빌란드Forster-Wieland독일(Germany)1988-09-30수장고(Storage)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/71af33b7-f7c5-4aec-bc78-a5c49dcb5105.jpg
2162178개의 공을 가진 기둥Column with 8 balls0.3X0.3X2.0 (m)나무(Wood), 구리(Copper)사데브, 인데르지트Sahdev-Inderjeet인도(India)1988-09-30수장고(Storage)조각초대전(Sculpture invitation exhibition)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/039c93d0-4591-481f-a834-9819e3f2a54e.jpg
217218미니 쿠베르탱Coubertin(small)200x200x250cm모니터(Monitor), 스틸(Steel), 조명(Lighting)백남준Baek, Nam-jun대한민국(South Korea)2004-06-28수장고(Storage)비디오아트홀 작품구입(Purchased from Video Art Hall)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/a3476097-fdd5-4d1b-8fa0-619139d34f57.jpg
218219메가트론Megatron600x100x400(cm)모니터(Monitor)백남준Baek, Nam-jun대한민국(South Korea)2004-03-10미술관(SOMA)비디오아트홀 작품구입(Purchased from Video Art Hall)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/9a54931d-6684-4bcc-bbc2-2a0d3d40e5f3.jpg
219220금관Gold crown180x180x300(cm)모니터(Monitor), 스틸(Steel), 네온(Neon)백남준Baek, Nam-jun대한민국(South Korea)2004-06-28미술관(SOMA)비디오아트홀 작품구입(Purchased from Video Art Hall)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/37eabc1e-a464-4456-a527-3cbef96b28b6.jpg
220221조깅하는 여인jogging lady130x90x250(cm)모니터(Monitor), 스틸(Steel)구보타 시케코kubota shigeko일본(Japan)2004-06-28수장고(Storage)비디오아트홀 작품구입(Purchased from Video Art Hall)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/757180b7-9572-460b-9e0e-eca2b7ed74b0.jpg
221222육상 선수Athlete0.9X0.7X2.0 (m)청동(Bronze)아야츠, 호세 클라라Ayats-Jose' Clara스페인(Spain)1988-09-30수장고(Storage)기증(Donation)https://soma.kspo.or.kr/manage/upload_files/piece/2018/12/26/53eaff5d-e442-4137-993c-c07d488759a5.jpg
222223움직이는 분수moving100*200*300복합소재고정현ko joung hyun대한민국(South Korea)1988-09-30미술관조각초대전https://soma.kspo.or.kr/manage/upload_files/piece/2019/01/05/cae58da2-7a67-4b7e-ae48-518a1f36ed26.jpg
223224뛰어running100*200*300복합소재고정현ko joung hyun대한민국(South Korea)1988-09-30미술관조각초대https://soma.kspo.or.kr/manage/upload_files/piece/2019/01/05/f579251c-0428-469c-aad8-29f0bbc43a06.jpg