Overview

Dataset statistics

Number of variables6
Number of observations1293
Missing cells158
Missing cells (%)2.0%
Duplicate rows24
Duplicate rows (%)1.9%
Total size in memory62.0 KiB
Average record size in memory49.1 B

Variable types

Text4
Numeric1
Categorical1

Dataset

Description대구광역시_대구미술관 소장품 정보_20200513
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15021985&dataSetDetailId=150219852f128efd07bf1&provdMethod=FILE

Alerts

Dataset has 24 (1.9%) duplicate rowsDuplicates
작품유형 is highly imbalanced (53.8%)Imbalance
제작년도 has 154 (11.9%) missing valuesMissing

Reproduction

Analysis started2024-04-19 06:25:09.942141
Analysis finished2024-04-19 06:25:10.861020
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작품명
Text

Distinct855
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-19T15:25:11.215941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length275
Median length92
Mean length23.267595
Min length2

Characters and Unicode

Total characters30085
Distinct characters602
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique795 ?
Unique (%)61.5%

Sample

1st row색의 위치 (Position of colors)
2nd row넓이 37(Width 37)
3rd row티아라(Tiara)
4th row공간(Space)
5th row공간(Space)
ValueCountFrequency (%)
무제(untitled 305
 
7.5%
of 164
 
4.0%
the 95
 
2.3%
72
 
1.8%
a 54
 
1.3%
and 54
 
1.3%
in 50
 
1.2%
series 28
 
0.7%
to 25
 
0.6%
life 24
 
0.6%
Other values (2132) 3191
78.6%
2024-04-19T15:25:11.760363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2771
 
9.2%
e 1965
 
6.5%
t 1569
 
5.2%
n 1552
 
5.2%
i 1419
 
4.7%
( 1377
 
4.6%
) 1377
 
4.6%
o 1344
 
4.5%
a 1258
 
4.2%
r 967
 
3.2%
Other values (592) 14486
48.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16192
53.8%
Other Letter 4375
 
14.5%
Space Separator 2771
 
9.2%
Uppercase Letter 2414
 
8.0%
Open Punctuation 1377
 
4.6%
Close Punctuation 1377
 
4.6%
Decimal Number 1012
 
3.4%
Dash Punctuation 256
 
0.9%
Other Punctuation 174
 
0.6%
Math Symbol 71
 
0.2%
Other values (3) 66
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 343
 
7.8%
제 325
 
7.4%
의 132
 
3.0%
리 64
 
1.5%
는 59
 
1.3%
경 59
 
1.3%
기 58
 
1.3%
가 53
 
1.2%
사 51
 
1.2%
자 47
 
1.1%
Other values (505) 3184
72.8%
Lowercase Letter
ValueCountFrequency (%)
e 1965
12.1%
t 1569
9.7%
n 1552
9.6%
i 1419
 
8.8%
o 1344
 
8.3%
a 1258
 
7.8%
r 967
 
6.0%
l 934
 
5.8%
d 808
 
5.0%
s 774
 
4.8%
Other values (16) 3602
22.2%
Uppercase Letter
ValueCountFrequency (%)
U 351
14.5%
S 253
 
10.5%
A 174
 
7.2%
P 150
 
6.2%
T 133
 
5.5%
M 132
 
5.5%
L 131
 
5.4%
C 105
 
4.3%
F 99
 
4.1%
W 95
 
3.9%
Other values (16) 791
32.8%
Decimal Number
ValueCountFrequency (%)
1 196
19.4%
2 187
18.5%
0 153
15.1%
3 99
9.8%
8 75
 
7.4%
6 70
 
6.9%
5 64
 
6.3%
9 63
 
6.2%
7 55
 
5.4%
4 50
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 63
36.2%
# 46
26.4%
: 20
 
11.5%
/ 15
 
8.6%
' 14
 
8.0%
! 9
 
5.2%
& 3
 
1.7%
… 3
 
1.7%
? 1
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 10
38.5%
Ⅶ 4
 
15.4%
Ⅲ 4
 
15.4%
Ⅴ 2
 
7.7%
Ⅹ 2
 
7.7%
Ⅱ 2
 
7.7%
Ⅵ 2
 
7.7%
Math Symbol
ValueCountFrequency (%)
+ 61
85.9%
~ 9
 
12.7%
× 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2771
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18632
61.9%
Common 7078
 
23.5%
Hangul 4350
 
14.5%
Han 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 343
 
7.9%
제 325
 
7.5%
의 132
 
3.0%
리 64
 
1.5%
는 59
 
1.4%
경 59
 
1.4%
기 58
 
1.3%
가 53
 
1.2%
사 51
 
1.2%
자 47
 
1.1%
Other values (484) 3159
72.6%
Latin
ValueCountFrequency (%)
e 1965
 
10.5%
t 1569
 
8.4%
n 1552
 
8.3%
i 1419
 
7.6%
o 1344
 
7.2%
a 1258
 
6.8%
r 967
 
5.2%
l 934
 
5.0%
d 808
 
4.3%
s 774
 
4.2%
Other values (49) 6042
32.4%
Common
ValueCountFrequency (%)
2771
39.1%
( 1377
19.5%
) 1377
19.5%
- 256
 
3.6%
1 196
 
2.8%
2 187
 
2.6%
0 153
 
2.2%
3 99
 
1.4%
8 75
 
1.1%
6 70
 
1.0%
Other values (18) 517
 
7.3%
Han
ValueCountFrequency (%)
間 2
 
8.0%
積 2
 
8.0%
虛 2
 
8.0%
氣 2
 
8.0%
窯 1
 
4.0%
常 1
 
4.0%
描 1
 
4.0%
景 1
 
4.0%
法 1
 
4.0%
況 1
 
4.0%
Other values (11) 11
44.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25679
85.4%
Hangul 4348
 
14.5%
Number Forms 26
 
0.1%
CJK 25
 
0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2771
 
10.8%
e 1965
 
7.7%
t 1569
 
6.1%
n 1552
 
6.0%
i 1419
 
5.5%
( 1377
 
5.4%
) 1377
 
5.4%
o 1344
 
5.2%
a 1258
 
4.9%
r 967
 
3.8%
Other values (67) 10080
39.3%
Hangul
ValueCountFrequency (%)
무 343
 
7.9%
제 325
 
7.5%
의 132
 
3.0%
리 64
 
1.5%
는 59
 
1.4%
경 59
 
1.4%
기 58
 
1.3%
가 53
 
1.2%
사 51
 
1.2%
자 47
 
1.1%
Other values (483) 3157
72.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 10
38.5%
Ⅶ 4
 
15.4%
Ⅲ 4
 
15.4%
Ⅴ 2
 
7.7%
Ⅹ 2
 
7.7%
Ⅱ 2
 
7.7%
Ⅵ 2
 
7.7%
Punctuation
ValueCountFrequency (%)
… 3
75.0%
’ 1
 
25.0%
CJK
ValueCountFrequency (%)
間 2
 
8.0%
積 2
 
8.0%
虛 2
 
8.0%
氣 2
 
8.0%
窯 1
 
4.0%
常 1
 
4.0%
描 1
 
4.0%
景 1
 
4.0%
法 1
 
4.0%
況 1
 
4.0%
Other values (11) 11
44.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

작가명
Text

Distinct446
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-19T15:25:12.092334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length16.337974
Min length2

Characters and Unicode

Total characters21125
Distinct characters295
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

Unique249 ?
Unique (%)19.3%

Sample

1st row손아유(SON Ahyoo)
2nd row박기원(PARK Kiwon)
3rd row허은경(HUR Unkyung)
4th row이지영(Rhee Jiyoung)
5th row이지영(Rhee Jiyoung)
ValueCountFrequency (%)
전선택(jeon 77
 
2.9%
seontaek 76
 
2.9%
손일봉(son 53
 
2.0%
ilbong 53
 
2.0%
최영림(choi 40
 
1.5%
youngrim 40
 
1.5%
손아유(son 39
 
1.5%
ahyoo 39
 
1.5%
신석필(sin 38
 
1.4%
sukpil 38
 
1.4%
Other values (847) 2168
81.5%
2024-04-19T15:25:12.597267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1372
 
6.5%
( 1281
 
6.1%
) 1281
 
6.1%
n 1257
 
6.0%
o 1184
 
5.6%
g 726
 
3.4%
u 683
 
3.2%
e 630
 
3.0%
a 566
 
2.7%
E 521
 
2.5%
Other values (285) 11624
55.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7793
36.9%
Uppercase Letter 5345
25.3%
Other Letter 3892
18.4%
Space Separator 1372
 
6.5%
Open Punctuation 1281
 
6.1%
Close Punctuation 1281
 
6.1%
Dash Punctuation 155
 
0.7%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 221
 
5.7%
김 186
 
4.8%
영 126
 
3.2%
손 99
 
2.5%
택 91
 
2.3%
전 90
 
2.3%
선 87
 
2.2%
박 82
 
2.1%
정 76
 
2.0%
성 75
 
1.9%
Other values (228) 2759
70.9%
Lowercase Letter
ValueCountFrequency (%)
n 1257
16.1%
o 1184
15.2%
g 726
9.3%
u 683
8.8%
e 630
8.1%
a 566
7.3%
i 400
 
5.1%
k 370
 
4.7%
y 358
 
4.6%
h 337
 
4.3%
Other values (15) 1282
16.5%
Uppercase Letter
ValueCountFrequency (%)
E 521
 
9.7%
S 511
 
9.6%
N 471
 
8.8%
K 443
 
8.3%
O 436
 
8.2%
I 413
 
7.7%
H 321
 
6.0%
A 277
 
5.2%
M 269
 
5.0%
J 216
 
4.0%
Other values (15) 1467
27.4%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 1
 
16.7%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13138
62.2%
Common 4095
 
19.4%
Hangul 3892
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 221
 
5.7%
김 186
 
4.8%
영 126
 
3.2%
손 99
 
2.5%
택 91
 
2.3%
전 90
 
2.3%
선 87
 
2.2%
박 82
 
2.1%
정 76
 
2.0%
성 75
 
1.9%
Other values (228) 2759
70.9%
Latin
ValueCountFrequency (%)
n 1257
 
9.6%
o 1184
 
9.0%
g 726
 
5.5%
u 683
 
5.2%
e 630
 
4.8%
a 566
 
4.3%
E 521
 
4.0%
S 511
 
3.9%
N 471
 
3.6%
K 443
 
3.4%
Other values (40) 6146
46.8%
Common
ValueCountFrequency (%)
1372
33.5%
( 1281
31.3%
) 1281
31.3%
- 155
 
3.8%
. 4
 
0.1%
, 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17233
81.6%
Hangul 3892
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1372
 
8.0%
( 1281
 
7.4%
) 1281
 
7.4%
n 1257
 
7.3%
o 1184
 
6.9%
g 726
 
4.2%
u 683
 
4.0%
e 630
 
3.7%
a 566
 
3.3%
E 521
 
3.0%
Other values (47) 7732
44.9%
Hangul
ValueCountFrequency (%)
이 221
 
5.7%
김 186
 
4.8%
영 126
 
3.2%
손 99
 
2.5%
택 91
 
2.3%
전 90
 
2.3%
선 87
 
2.2%
박 82
 
2.1%
정 76
 
2.0%
성 75
 
1.9%
Other values (228) 2759
70.9%

제작년도
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)7.5%
Missing154
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1990.6497
Minimum1920
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-19T15:25:12.741825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1920
5-th percentile1958
Q11979
median1993
Q32007
95-th percentile2015
Maximum2019
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation18.637727
Coefficient of variation (CV)0.0093626354
Kurtosis0.66776333
Mean1990.6497
Median Absolute Deviation (MAD)14
Skewness-0.79474391
Sum2267350
Variance347.36487
MonotonicityNot monotonic
2024-04-19T15:25:12.907691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1995 50
 
3.9%
2011 36
 
2.8%
2009 34
 
2.6%
1993 34
 
2.6%
2013 33
 
2.6%
2008 31
 
2.4%
1990 30
 
2.3%
1996 30
 
2.3%
2010 29
 
2.2%
1994 27
 
2.1%
Other values (75) 805
62.3%
(Missing) 154
 
11.9%
ValueCountFrequency (%)
1920 2
0.2%
1924 1
 
0.1%
1927 4
0.3%
1930 3
0.2%
1932 1
 
0.1%
1933 1
 
0.1%
1935 3
0.2%
1936 2
0.2%
1937 1
 
0.1%
1938 1
 
0.1%
ValueCountFrequency (%)
2019 7
 
0.5%
2018 7
 
0.5%
2017 8
 
0.6%
2016 25
1.9%
2015 24
1.9%
2014 27
2.1%
2013 33
2.6%
2012 18
1.4%
2011 36
2.8%
2010 29
2.2%

작품유형
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
회화
939 
사진
111 
조각
102 
판화
 
56
미디어
 
32
Other values (5)
 
53

Length

Max length3
Median length2
Mean length2.0440835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회화
2nd row회화
3rd row조각
4th row사진
5th row사진

Common Values

ValueCountFrequency (%)
회화 939
72.6%
사진 111
 
8.6%
조각 102
 
7.9%
판화 56
 
4.3%
미디어 32
 
2.5%
설치 17
 
1.3%
한국화 16
 
1.2%
드로잉 9
 
0.7%
서예 6
 
0.5%
공예 5
 
0.4%

Length

2024-04-19T15:25:13.049033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:25:13.198184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회화 939
72.6%
사진 111
 
8.6%
조각 102
 
7.9%
판화 56
 
4.3%
미디어 32
 
2.5%
설치 17
 
1.3%
한국화 16
 
1.2%
드로잉 9
 
0.7%
서예 6
 
0.5%
공예 5
 
0.4%

제작기법
Text

Distinct239
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-19T15:25:13.436678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length13
Mean length15.469451
Min length2

Characters and Unicode

Total characters20002
Distinct characters91
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)11.5%

Sample

1st rowPencil and crayon on paper
2nd rowOil on Korean paper
3rd rowmixed media
4th rowpigment print
5th rowpigment print
ValueCountFrequency (%)
on 943
24.5%
canvas 750
19.5%
oil 664
17.2%
paper 136
 
3.5%
mixed 105
 
2.7%
media 105
 
2.7%
print 83
 
2.2%
acrylic 72
 
1.9%
ink 60
 
1.6%
pigment 50
 
1.3%
Other values (253) 888
23.0%
2024-04-19T15:25:13.836549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2564
12.8%
n 2311
11.6%
a 2246
11.2%
o 1535
 
7.7%
i 1523
 
7.6%
l 1149
 
5.7%
c 1142
 
5.7%
s 938
 
4.7%
e 922
 
4.6%
v 785
 
3.9%
Other values (81) 4887
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15969
79.8%
Space Separator 2564
 
12.8%
Uppercase Letter 1184
 
5.9%
Math Symbol 114
 
0.6%
Other Letter 80
 
0.4%
Dash Punctuation 48
 
0.2%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Decimal Number 11
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 9
 
11.2%
지 8
 
10.0%
채 6
 
7.5%
한 6
 
7.5%
수 5
 
6.2%
담 4
 
5.0%
묵 4
 
5.0%
이 3
 
3.8%
먹 3
 
3.8%
스 2
 
2.5%
Other values (23) 30
37.5%
Lowercase Letter
ValueCountFrequency (%)
n 2311
14.5%
a 2246
14.1%
o 1535
9.6%
i 1523
9.5%
l 1149
7.2%
c 1142
7.2%
s 938
 
5.9%
e 922
 
5.8%
v 785
 
4.9%
r 725
 
4.5%
Other values (15) 2693
16.9%
Uppercase Letter
ValueCountFrequency (%)
O 610
51.5%
M 89
 
7.5%
C 86
 
7.3%
P 67
 
5.7%
A 62
 
5.2%
W 59
 
5.0%
I 38
 
3.2%
V 32
 
2.7%
D 27
 
2.3%
L 18
 
1.5%
Other values (12) 96
 
8.1%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
4 3
27.3%
3 3
27.3%
1 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
2564
100.0%
Math Symbol
ValueCountFrequency (%)
+ 114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17153
85.8%
Common 2769
 
13.8%
Hangul 80
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2311
13.5%
a 2246
13.1%
o 1535
 
8.9%
i 1523
 
8.9%
l 1149
 
6.7%
c 1142
 
6.7%
s 938
 
5.5%
e 922
 
5.4%
v 785
 
4.6%
r 725
 
4.2%
Other values (37) 3877
22.6%
Hangul
ValueCountFrequency (%)
에 9
 
11.2%
지 8
 
10.0%
채 6
 
7.5%
한 6
 
7.5%
수 5
 
6.2%
담 4
 
5.0%
묵 4
 
5.0%
이 3
 
3.8%
먹 3
 
3.8%
스 2
 
2.5%
Other values (23) 30
37.5%
Common
ValueCountFrequency (%)
2564
92.6%
+ 114
 
4.1%
- 48
 
1.7%
) 14
 
0.5%
( 14
 
0.5%
2 4
 
0.1%
4 3
 
0.1%
3 3
 
0.1%
& 2
 
0.1%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19922
99.6%
Hangul 80
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2564
12.9%
n 2311
11.6%
a 2246
11.3%
o 1535
 
7.7%
i 1523
 
7.6%
l 1149
 
5.8%
c 1142
 
5.7%
s 938
 
4.7%
e 922
 
4.6%
v 785
 
3.9%
Other values (48) 4807
24.1%
Hangul
ValueCountFrequency (%)
에 9
 
11.2%
지 8
 
10.0%
채 6
 
7.5%
한 6
 
7.5%
수 5
 
6.2%
담 4
 
5.0%
묵 4
 
5.0%
이 3
 
3.8%
먹 3
 
3.8%
스 2
 
2.5%
Other values (23) 30
37.5%

작품크기
Text

Distinct889
Distinct (%)69.0%
Missing4
Missing (%)0.3%
Memory size10.2 KiB
2024-04-19T15:25:14.111576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.9868115
Min length2

Characters and Unicode

Total characters11584
Distinct characters45
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

Unique723 ?
Unique (%)56.1%

Sample

1st row12x8cm
2nd row214x150cm
3rd row138x203x152cm
4th row185x124cm
5th row224x150cm
ValueCountFrequency (%)
19
 
1.5%
50.3x50.3x15cm 15
 
1.2%
162x130cm 14
 
1.1%
130x162cm 13
 
1.0%
80x100cm 12
 
0.9%
100x150cm 9
 
0.7%
53x45.5cm 9
 
0.7%
dimension 8
 
0.6%
38x45.5cm 8
 
0.6%
variable 8
 
0.6%
Other values (883) 1185
91.2%
2024-04-19T15:25:14.531514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
x 1352
11.7%
m 1257
10.9%
c 1249
10.8%
1 1155
10.0%
5 1121
9.7%
0 920
7.9%
2 790
6.8%
3 727
6.3%
. 637
 
5.5%
4 563
 
4.9%
Other values (35) 1813
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6856
59.2%
Lowercase Letter 3989
34.4%
Other Punctuation 703
 
6.1%
Other Letter 13
 
0.1%
Space Separator 11
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
x 1352
33.9%
m 1257
31.5%
c 1249
31.3%
i 24
 
0.6%
a 16
 
0.4%
e 16
 
0.4%
n 16
 
0.4%
l 8
 
0.2%
b 8
 
0.2%
r 8
 
0.2%
Other values (6) 35
 
0.9%
Other Letter
ValueCountFrequency (%)
지 2
15.4%
름 2
15.4%
잉 1
7.7%
판 1
7.7%
석 1
7.7%
연 1
7.7%
자 1
7.7%
찻 1
7.7%
로 1
7.7%
드 1
7.7%
Decimal Number
ValueCountFrequency (%)
1 1155
16.8%
5 1121
16.4%
0 920
13.4%
2 790
11.5%
3 727
10.6%
4 563
8.2%
6 500
7.3%
7 407
 
5.9%
9 348
 
5.1%
8 325
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 637
90.6%
: 64
 
9.1%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7582
65.5%
Latin 3989
34.4%
Hangul 13
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1155
15.2%
5 1121
14.8%
0 920
12.1%
2 790
10.4%
3 727
9.6%
. 637
8.4%
4 563
7.4%
6 500
6.6%
7 407
 
5.4%
9 348
 
4.6%
Other values (8) 414
 
5.5%
Latin
ValueCountFrequency (%)
x 1352
33.9%
m 1257
31.5%
c 1249
31.3%
i 24
 
0.6%
a 16
 
0.4%
e 16
 
0.4%
n 16
 
0.4%
l 8
 
0.2%
b 8
 
0.2%
r 8
 
0.2%
Other values (6) 35
 
0.9%
Hangul
ValueCountFrequency (%)
지 2
15.4%
름 2
15.4%
잉 1
7.7%
판 1
7.7%
석 1
7.7%
연 1
7.7%
자 1
7.7%
찻 1
7.7%
로 1
7.7%
드 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11569
99.9%
Hangul 13
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
x 1352
11.7%
m 1257
10.9%
c 1249
10.8%
1 1155
10.0%
5 1121
9.7%
0 920
8.0%
2 790
6.8%
3 727
6.3%
. 637
 
5.5%
4 563
 
4.9%
Other values (22) 1798
15.5%
Hangul
ValueCountFrequency (%)
지 2
15.4%
름 2
15.4%
잉 1
7.7%
판 1
7.7%
석 1
7.7%
연 1
7.7%
자 1
7.7%
찻 1
7.7%
로 1
7.7%
드 1
7.7%
None
ValueCountFrequency (%)
ø 1
50.0%
× 1
50.0%

Interactions

2024-04-19T15:25:10.451459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:25:14.625906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작년도작품유형
제작년도1.0000.619
작품유형0.6191.000
2024-04-19T15:25:14.709091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작년도작품유형
제작년도1.0000.249
작품유형0.2491.000

Missing values

2024-04-19T15:25:10.574239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:25:10.707143image/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.
2024-04-19T15:25:10.811043image/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

작품명작가명제작년도작품유형제작기법작품크기
0색의 위치 (Position of colors)손아유(SON Ahyoo)2015회화Pencil and crayon on paper12x8cm
1넓이 37(Width 37)박기원(PARK Kiwon)2007회화Oil on Korean paper214x150cm
2티아라(Tiara)허은경(HUR Unkyung)2015조각mixed media138x203x152cm
3공간(Space)이지영(Rhee Jiyoung)2018사진pigment print185x124cm
4공간(Space)이지영(Rhee Jiyoung)2018사진pigment print224x150cm
5파쇼에 누워 Ⅰ(Lying on Fascio Ⅰ)최민화(CHOI Minhwa)1992회화oil on canvas136x206cm
6Night Landscape-9804(Night Landscape-9804)김승연(KIM Seungyeon)1998판화copper print+ mezzotint50x70cm
7비단장사 왕서방(Mr. Wang the silk seller )임동식(RIM Dongsik)2009회화oil on canvas130x162cm
8노적도(No Jeok Do (Old Flute Player))박생광(PARK Saengkwang)1985회화Ink & color on paper138.5x140cm
9lf+ Ca-21(lf+ Ca-21)이주형(LEE Joohyoung)2016사진pigment print120x90cm
작품명작가명제작년도작품유형제작기법작품크기
1283가수가 된 수진3(Sujin has become a singer 3)방병상(BANG Byoungsang)2008사진Pigment print on aluminum27.5x33.5cm
1284가수가 된 수진2(Sujin has become a singer 2)방병상(BANG Byoungsang)2008사진Pigment print on aluminum27.5x36cm
1285가수가 된 수진1(Sujin has become a singer 1)방병상(BANG Byoungsang)2008사진Pigment print on aluminum27.5x31cm
1286도심 속의 천체망원경(Astronomical telescope in the middle of the city)방병상(BANG Byoungsang)2008사진Pigment print on aluminum50.5x75cm
1287옥상신호기(Rooftop signal)방병상(BANG Byoungsang)2008사진Pigment print on aluminum30.5x47.5cm
1288야경(Nightscape)방병상(BANG Byoungsang)2008사진Pigment print on aluminum50.5x75cm
1289버스정류장(A Bus Stop)방병상(BANG Byoungsang)2008사진Pigment print on aluminum30x42.5cm
1290볼(Ball)방병상(BANG Byoungsang)2008사진Pigment print on aluminum50x51cm
1291한강 고수부지-터널(Hangang Park - tunnel)방병상(BANG Byoungsang)2008사진Pigment print on aluminum52.5x40cm
1292제주도-15분간 노출된 서쪽별(Jeju Island - A west star exposed for 15 minutes)방병상(BANG Byoungsang)2008사진Pigment print on aluminum99x75cm

Duplicate rows

Most frequently occurring

작품명작가명제작년도작품유형제작기법작품크기# duplicates
2Void(Void)이교준(LEE Kyojun)2011조각Veneered plywood50.3x50.3x15cm15
19색의 위치(Position of colors)손아유(SON Ahyoo)1988회화Watercolors on paper30x42cm5
0From fire(From fire)이배(LEE Bae)2014조각charcoaldimension variable3
3Window(Window)이교준(LEE Kyojun)2008회화Acrylic on canvas227x181.5cm3
11무제(Untitled)김용수(KIM Yong-su)1998회화Acrylic on canvas122x245cm3
15무제(Untitled)박일주(PARK Ii-ju)<NA>회화Gouache on board50x98cm3
1Off Your Body(Off Your Body)정병국(JUNG Byung-guk)2004회화Acrylic on canvas335x255cm2
4공간의 틈(Interval of space)손아유(SON Ahyoo)2000회화Watercolors on paper36x128cm2
5공간의 틈(Interval of space)손아유(SON Ahyoo)2000회화Watercolors on paper83x153cm2
6공간의 표리(Double-faced space)손아유(SON Ahyoo)1993판화Woodcut print30x22.5cm2