Overview

Dataset statistics

Number of variables7
Number of observations1357
Missing cells0
Missing cells (%)0.0%
Duplicate rows24
Duplicate rows (%)1.8%
Total size in memory75.7 KiB
Average record size in memory57.1 B

Variable types

Categorical1
Numeric1
Text5

Dataset

Description대전시립미술관 소장품과 관련된 데이터로 작가명, 작품명, 제작연도, 재료 및 기법, 작품규격, 부문 등 소장품 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15089415/fileData.do

Alerts

Dataset has 24 (1.8%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:42:29.068073
Analysis finished2023-12-12 07:42:29.967478
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부문
Categorical

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
회화
703 
드로잉·판화
216 
한국화
190 
조각
99 
뉴미디어
 
55
Other values (4)
94 

Length

Max length6
Median length2
Mean length2.8585114
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
회화 703
51.8%
드로잉·판화 216
 
15.9%
한국화 190
 
14.0%
조각 99
 
7.3%
뉴미디어 55
 
4.1%
공예 34
 
2.5%
서예 33
 
2.4%
사진 26
 
1.9%
조각 1
 
0.1%

Length

2023-12-12T16:42:30.032471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:42:30.139964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회화 703
51.8%
드로잉·판화 216
 
15.9%
한국화 190
 
14.0%
조각 100
 
7.4%
뉴미디어 55
 
4.1%
공예 34
 
2.5%
서예 33
 
2.4%
사진 26
 
1.9%

소장연도
Real number (ℝ)

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.5932
Minimum1998
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2023-12-12T16:42:30.556952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile1998
Q12001
median2007
Q32011
95-th percentile2019.2
Maximum2022
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7717451
Coefficient of variation (CV)0.0033747473
Kurtosis-0.68973247
Mean2006.5932
Median Absolute Deviation (MAD)6
Skewness0.48915846
Sum2722947
Variance45.856532
MonotonicityIncreasing
2023-12-12T16:42:30.707159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2009 245
18.1%
1998 196
14.4%
2001 141
10.4%
2000 103
 
7.6%
2006 76
 
5.6%
2011 69
 
5.1%
2007 60
 
4.4%
2021 45
 
3.3%
2004 40
 
2.9%
2005 40
 
2.9%
Other values (15) 342
25.2%
ValueCountFrequency (%)
1998 196
14.4%
1999 36
 
2.7%
2000 103
7.6%
2001 141
10.4%
2002 33
 
2.4%
2003 13
 
1.0%
2004 40
 
2.9%
2005 40
 
2.9%
2006 76
 
5.6%
2007 60
 
4.4%
ValueCountFrequency (%)
2022 10
 
0.7%
2021 45
3.3%
2020 13
 
1.0%
2019 35
2.6%
2018 34
2.5%
2017 30
2.2%
2016 12
 
0.9%
2015 16
 
1.2%
2014 34
2.5%
2013 13
 
1.0%

작품명
Text

Distinct881
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-12T16:42:31.033945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length37
Mean length6.1672808
Min length1

Characters and Unicode

Total characters8369
Distinct characters690
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique801 ?
Unique (%)59.0%

Sample

1st row오월
2nd row변주곡 17
3rd row기운의 소리
4th row인성
5th row추정
ValueCountFrequency (%)
예향색 87
 
4.0%
형태의 78
 
3.6%
소거(판화 48
 
2.2%
미상 43
 
2.0%
work 37
 
1.7%
작품 34
 
1.6%
색의 31
 
1.4%
소거 30
 
1.4%
무제 27
 
1.2%
사이 21
 
1.0%
Other values (1236) 1756
80.1%
2023-12-12T16:42:31.544438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
 
10.1%
의 210
 
2.5%
( 179
 
2.1%
) 179
 
2.1%
- 176
 
2.1%
색 127
 
1.5%
e 126
 
1.5%
상 123
 
1.5%
o 119
 
1.4%
0 114
 
1.4%
Other values (680) 6174
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4950
59.1%
Lowercase Letter 976
 
11.7%
Space Separator 842
 
10.1%
Decimal Number 611
 
7.3%
Uppercase Letter 319
 
3.8%
Open Punctuation 179
 
2.1%
Close Punctuation 179
 
2.1%
Dash Punctuation 176
 
2.1%
Other Punctuation 110
 
1.3%
Letter Number 14
 
0.2%
Other values (4) 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 210
 
4.2%
색 127
 
2.6%
상 123
 
2.5%
향 106
 
2.1%
이 104
 
2.1%
소 103
 
2.1%
화 102
 
2.1%
거 94
 
1.9%
예 92
 
1.9%
형 87
 
1.8%
Other values (597) 3802
76.8%
Uppercase Letter
ValueCountFrequency (%)
I 50
15.7%
W 40
12.5%
S 25
 
7.8%
B 21
 
6.6%
A 16
 
5.0%
V 15
 
4.7%
R 14
 
4.4%
P 14
 
4.4%
N 14
 
4.4%
L 14
 
4.4%
Other values (15) 96
30.1%
Lowercase Letter
ValueCountFrequency (%)
e 126
12.9%
o 119
12.2%
r 101
10.3%
n 80
 
8.2%
i 73
 
7.5%
a 69
 
7.1%
t 66
 
6.8%
l 47
 
4.8%
k 43
 
4.4%
s 33
 
3.4%
Other values (13) 219
22.4%
Decimal Number
ValueCountFrequency (%)
0 114
18.7%
9 100
16.4%
1 97
15.9%
2 75
12.3%
7 50
8.2%
5 41
 
6.7%
3 38
 
6.2%
8 37
 
6.1%
6 33
 
5.4%
4 26
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 50
45.5%
. 22
20.0%
· 10
 
9.1%
# 9
 
8.2%
/ 7
 
6.4%
? 6
 
5.5%
& 3
 
2.7%
: 1
 
0.9%
' 1
 
0.9%
… 1
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
50.0%
Ⅰ 4
28.6%
Ⅲ 1
 
7.1%
Ⅵ 1
 
7.1%
Ⅳ 1
 
7.1%
Initial Punctuation
ValueCountFrequency (%)
“ 3
75.0%
‘ 1
 
25.0%
Final Punctuation
ValueCountFrequency (%)
” 1
50.0%
’ 1
50.0%
Space Separator
ValueCountFrequency (%)
842
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4758
56.9%
Common 2110
25.2%
Latin 1309
 
15.6%
Han 192
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 210
 
4.4%
색 127
 
2.7%
상 123
 
2.6%
향 106
 
2.2%
이 104
 
2.2%
소 103
 
2.2%
화 102
 
2.1%
거 94
 
2.0%
예 92
 
1.9%
형 87
 
1.8%
Other values (469) 3610
75.9%
Han
ValueCountFrequency (%)
情 14
 
7.3%
景 13
 
6.8%
風 11
 
5.7%
天 3
 
1.6%
山 3
 
1.6%
日 3
 
1.6%
象 3
 
1.6%
長 3
 
1.6%
飛 3
 
1.6%
行 2
 
1.0%
Other values (118) 134
69.8%
Latin
ValueCountFrequency (%)
e 126
 
9.6%
o 119
 
9.1%
r 101
 
7.7%
n 80
 
6.1%
i 73
 
5.6%
a 69
 
5.3%
t 66
 
5.0%
I 50
 
3.8%
l 47
 
3.6%
k 43
 
3.3%
Other values (43) 535
40.9%
Common
ValueCountFrequency (%)
842
39.9%
( 179
 
8.5%
) 179
 
8.5%
- 176
 
8.3%
0 114
 
5.4%
9 100
 
4.7%
1 97
 
4.6%
2 75
 
3.6%
7 50
 
2.4%
, 50
 
2.4%
Other values (20) 248
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4758
56.9%
ASCII 3388
40.5%
CJK 188
 
2.2%
Number Forms 14
 
0.2%
None 10
 
0.1%
Punctuation 7
 
0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
24.9%
( 179
 
5.3%
) 179
 
5.3%
- 176
 
5.2%
e 126
 
3.7%
o 119
 
3.5%
0 114
 
3.4%
r 101
 
3.0%
9 100
 
3.0%
1 97
 
2.9%
Other values (62) 1355
40.0%
Hangul
ValueCountFrequency (%)
의 210
 
4.4%
색 127
 
2.7%
상 123
 
2.6%
향 106
 
2.2%
이 104
 
2.2%
소 103
 
2.2%
화 102
 
2.1%
거 94
 
2.0%
예 92
 
1.9%
형 87
 
1.8%
Other values (469) 3610
75.9%
CJK
ValueCountFrequency (%)
情 14
 
7.4%
景 13
 
6.9%
風 11
 
5.9%
天 3
 
1.6%
山 3
 
1.6%
日 3
 
1.6%
象 3
 
1.6%
長 3
 
1.6%
飛 3
 
1.6%
行 2
 
1.1%
Other values (114) 130
69.1%
None
ValueCountFrequency (%)
· 10
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
50.0%
Ⅰ 4
28.6%
Ⅲ 1
 
7.1%
Ⅵ 1
 
7.1%
Ⅳ 1
 
7.1%
Punctuation
ValueCountFrequency (%)
“ 3
42.9%
” 1
 
14.3%
’ 1
 
14.3%
‘ 1
 
14.3%
… 1
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
25.0%
不 1
25.0%
女 1
25.0%
樂 1
25.0%

작품규격(cm)
Text

Distinct1169
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-12T16:42:31.880172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length55
Mean length9.1296979
Min length2

Characters and Unicode

Total characters12389
Distinct characters99
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

Unique1080 ?
Unique (%)79.6%

Sample

1st row60.6×72.7
2nd row64×94.5
3rd row60.5×72
4th row60×60
5th row60.6×72.7
ValueCountFrequency (%)
3ea 35
 
2.2%
2ea 33
 
2.1%
1ea)(총 16
 
1.0%
4ea 13
 
0.8%
가변크기 12
 
0.7%
79×54.5 10
 
0.6%
6ea 8
 
0.5%
93.9×181.4 8
 
0.5%
4폭 8
 
0.5%
180×300 7
 
0.4%
Other values (1245) 1452
90.6%
2023-12-12T16:42:32.471077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
× 1476
11.9%
1 1465
11.8%
5 1240
10.0%
. 1213
9.8%
2 959
 
7.7%
0 849
 
6.9%
3 819
 
6.6%
7 710
 
5.7%
4 643
 
5.2%
6 603
 
4.9%
Other values (89) 2412
19.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8392
67.7%
Math Symbol 1476
 
11.9%
Other Punctuation 1247
 
10.1%
Uppercase Letter 333
 
2.7%
Other Letter 262
 
2.1%
Space Separator 248
 
2.0%
Close Punctuation 188
 
1.5%
Open Punctuation 187
 
1.5%
Lowercase Letter 56
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 37
14.1%
초 34
13.0%
총 29
11.1%
변 20
 
7.6%
가 20
 
7.6%
기 13
 
5.0%
크 13
 
5.0%
폭 10
 
3.8%
치 7
 
2.7%
설 7
 
2.7%
Other values (44) 72
27.5%
Lowercase Letter
ValueCountFrequency (%)
x 20
35.7%
i 7
 
12.5%
o 4
 
7.1%
d 4
 
7.1%
l 4
 
7.1%
e 4
 
7.1%
n 2
 
3.6%
t 2
 
3.6%
p 2
 
3.6%
q 1
 
1.8%
Other values (6) 6
 
10.7%
Uppercase Letter
ValueCountFrequency (%)
E 163
48.9%
A 160
48.0%
W 2
 
0.6%
X 1
 
0.3%
U 1
 
0.3%
B 1
 
0.3%
Ø 1
 
0.3%
H 1
 
0.3%
D 1
 
0.3%
F 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1465
17.5%
5 1240
14.8%
2 959
11.4%
0 849
10.1%
3 819
9.8%
7 710
8.5%
4 643
7.7%
6 603
7.2%
9 595
7.1%
8 509
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1213
97.3%
/ 14
 
1.1%
, 11
 
0.9%
: 9
 
0.7%
Math Symbol
ValueCountFrequency (%)
× 1476
100.0%
Space Separator
ValueCountFrequency (%)
248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11738
94.7%
Latin 389
 
3.1%
Hangul 262
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 37
14.1%
초 34
13.0%
총 29
11.1%
변 20
 
7.6%
가 20
 
7.6%
기 13
 
5.0%
크 13
 
5.0%
폭 10
 
3.8%
치 7
 
2.7%
설 7
 
2.7%
Other values (44) 72
27.5%
Latin
ValueCountFrequency (%)
E 163
41.9%
A 160
41.1%
x 20
 
5.1%
i 7
 
1.8%
o 4
 
1.0%
d 4
 
1.0%
l 4
 
1.0%
e 4
 
1.0%
n 2
 
0.5%
t 2
 
0.5%
Other values (17) 19
 
4.9%
Common
ValueCountFrequency (%)
× 1476
12.6%
1 1465
12.5%
5 1240
10.6%
. 1213
10.3%
2 959
8.2%
0 849
7.2%
3 819
7.0%
7 710
6.0%
4 643
 
5.5%
6 603
 
5.1%
Other values (8) 1761
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10650
86.0%
None 1477
 
11.9%
Hangul 262
 
2.1%

Most frequent character per block

None
ValueCountFrequency (%)
× 1476
99.9%
Ø 1
 
0.1%
ASCII
ValueCountFrequency (%)
1 1465
13.8%
5 1240
11.6%
. 1213
11.4%
2 959
9.0%
0 849
8.0%
3 819
7.7%
7 710
6.7%
4 643
6.0%
6 603
 
5.7%
9 595
 
5.6%
Other values (33) 1554
14.6%
Hangul
ValueCountFrequency (%)
분 37
14.1%
초 34
13.0%
총 29
11.1%
변 20
 
7.6%
가 20
 
7.6%
기 13
 
5.0%
크 13
 
5.0%
폭 10
 
3.8%
치 7
 
2.7%
설 7
 
2.7%
Other values (44) 72
27.5%

제작연도
Text

Distinct107
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-12T16:42:32.768299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length3.9941046
Min length2

Characters and Unicode

Total characters5420
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)2.2%

Sample

1st row1996
2nd row1996
3rd row1996
4th row1994
5th row1995
ValueCountFrequency (%)
1996 91
 
6.7%
미상 91
 
6.7%
1997 85
 
6.2%
1998 65
 
4.8%
1993 50
 
3.7%
1995 48
 
3.5%
1999 48
 
3.5%
2000 40
 
2.9%
1992 38
 
2.8%
1994 37
 
2.7%
Other values (95) 767
56.4%
2023-12-12T16:42:33.180194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1621
29.9%
1 1184
21.8%
0 650
12.0%
2 449
 
8.3%
8 387
 
7.1%
7 277
 
5.1%
6 222
 
4.1%
5 144
 
2.7%
4 124
 
2.3%
3 118
 
2.2%
Other values (10) 244
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5176
95.5%
Other Letter 211
 
3.9%
Dash Punctuation 25
 
0.5%
Other Punctuation 4
 
0.1%
Space Separator 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1621
31.3%
1 1184
22.9%
0 650
12.6%
2 449
 
8.7%
8 387
 
7.5%
7 277
 
5.4%
6 222
 
4.3%
5 144
 
2.8%
4 124
 
2.4%
3 118
 
2.3%
Other Letter
ValueCountFrequency (%)
상 91
43.1%
미 91
43.1%
년 14
 
6.6%
대 13
 
6.2%
말 1
 
0.5%
경 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5209
96.1%
Hangul 211
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1621
31.1%
1 1184
22.7%
0 650
12.5%
2 449
 
8.6%
8 387
 
7.4%
7 277
 
5.3%
6 222
 
4.3%
5 144
 
2.8%
4 124
 
2.4%
3 118
 
2.3%
Other values (4) 33
 
0.6%
Hangul
ValueCountFrequency (%)
상 91
43.1%
미 91
43.1%
년 14
 
6.6%
대 13
 
6.2%
말 1
 
0.5%
경 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5209
96.1%
Hangul 211
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1621
31.1%
1 1184
22.7%
0 650
12.5%
2 449
 
8.6%
8 387
 
7.4%
7 277
 
5.3%
6 222
 
4.3%
5 144
 
2.8%
4 124
 
2.4%
3 118
 
2.3%
Other values (4) 33
 
0.6%
Hangul
ValueCountFrequency (%)
상 91
43.1%
미 91
43.1%
년 14
 
6.6%
대 13
 
6.2%
말 1
 
0.5%
경 1
 
0.5%

재료/기법
Text

Distinct305
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-12T16:42:33.490904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length69
Mean length8.440678
Min length1

Characters and Unicode

Total characters11454
Distinct characters347
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

Unique215 ?
Unique (%)15.8%

Sample

1st row캔버스에 유채
2nd row캔버스에 유채
3rd row캔버스에 유채
4th row캔버스에 혼합재료
5th row캔버스에 혼합재료
ValueCountFrequency (%)
캔버스에 461
15.6%
종이에 451
15.2%
유채 356
 
12.0%
한지에 131
 
4.4%
수묵담채 95
 
3.2%
파스텔 93
 
3.1%
아크릴릭 76
 
2.6%
혼합재료 70
 
2.4%
동판(에칭 63
 
2.1%
먹 62
 
2.1%
Other values (387) 1105
37.3%
2023-12-12T16:42:34.003493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1609
 
14.0%
에 1229
 
10.7%
스 635
 
5.5%
채 600
 
5.2%
버 476
 
4.2%
이 475
 
4.1%
캔 464
 
4.1%
종 459
 
4.0%
, 390
 
3.4%
유 379
 
3.3%
Other values (337) 4738
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9127
79.7%
Space Separator 1609
 
14.0%
Other Punctuation 399
 
3.5%
Open Punctuation 85
 
0.7%
Close Punctuation 84
 
0.7%
Uppercase Letter 75
 
0.7%
Lowercase Letter 38
 
0.3%
Decimal Number 33
 
0.3%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 1229
 
13.5%
스 635
 
7.0%
채 600
 
6.6%
버 476
 
5.2%
이 475
 
5.2%
캔 464
 
5.1%
종 459
 
5.0%
유 379
 
4.2%
지 198
 
2.2%
수 195
 
2.1%
Other values (282) 4017
44.0%
Lowercase Letter
ValueCountFrequency (%)
l 5
13.2%
a 3
 
7.9%
t 3
 
7.9%
i 3
 
7.9%
m 3
 
7.9%
e 3
 
7.9%
n 3
 
7.9%
h 2
 
5.3%
v 2
 
5.3%
r 2
 
5.3%
Other values (8) 9
23.7%
Uppercase Letter
ValueCountFrequency (%)
D 14
18.7%
C 11
14.7%
L 8
10.7%
H 7
9.3%
V 5
 
6.7%
E 5
 
6.7%
P 4
 
5.3%
F 4
 
5.3%
R 4
 
5.3%
M 2
 
2.7%
Other values (7) 11
14.7%
Decimal Number
ValueCountFrequency (%)
3 7
21.2%
2 6
18.2%
1 5
15.2%
4 4
12.1%
0 4
12.1%
5 4
12.1%
8 1
 
3.0%
6 1
 
3.0%
7 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 390
97.7%
. 2
 
0.5%
; 2
 
0.5%
: 2
 
0.5%
/ 2
 
0.5%
· 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1609
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9127
79.7%
Common 2214
 
19.3%
Latin 113
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 1229
 
13.5%
스 635
 
7.0%
채 600
 
6.6%
버 476
 
5.2%
이 475
 
5.2%
캔 464
 
5.1%
종 459
 
5.0%
유 379
 
4.2%
지 198
 
2.2%
수 195
 
2.1%
Other values (282) 4017
44.0%
Latin
ValueCountFrequency (%)
D 14
 
12.4%
C 11
 
9.7%
L 8
 
7.1%
H 7
 
6.2%
V 5
 
4.4%
E 5
 
4.4%
l 5
 
4.4%
P 4
 
3.5%
F 4
 
3.5%
R 4
 
3.5%
Other values (25) 46
40.7%
Common
ValueCountFrequency (%)
1609
72.7%
, 390
 
17.6%
( 85
 
3.8%
) 84
 
3.8%
3 7
 
0.3%
2 6
 
0.3%
1 5
 
0.2%
4 4
 
0.2%
0 4
 
0.2%
5 4
 
0.2%
Other values (10) 16
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9127
79.7%
ASCII 2325
 
20.3%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1609
69.2%
, 390
 
16.8%
( 85
 
3.7%
) 84
 
3.6%
D 14
 
0.6%
C 11
 
0.5%
L 8
 
0.3%
3 7
 
0.3%
H 7
 
0.3%
2 6
 
0.3%
Other values (43) 104
 
4.5%
Hangul
ValueCountFrequency (%)
에 1229
 
13.5%
스 635
 
7.0%
채 600
 
6.6%
버 476
 
5.2%
이 475
 
5.2%
캔 464
 
5.1%
종 459
 
5.0%
유 379
 
4.2%
지 198
 
2.2%
수 195
 
2.1%
Other values (282) 4017
44.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

작가명
Text

Distinct467
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-12T16:42:34.384931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.0434783
Min length2

Characters and Unicode

Total characters4130
Distinct characters241
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)23.5%

Sample

1st row이영순
2nd row이주영
3rd row제정자
4th row조영동
5th row노광
ValueCountFrequency (%)
손아유 213
 
15.5%
강환섭 102
 
7.4%
김형구 53
 
3.9%
한정수 46
 
3.4%
임봉재 40
 
2.9%
유희영 30
 
2.2%
이동훈 24
 
1.7%
이남규 23
 
1.7%
민경갑 22
 
1.6%
김치중 20
 
1.5%
Other values (472) 800
58.3%
2023-12-12T16:42:34.967728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 275
 
6.7%
김 234
 
5.7%
아 221
 
5.4%
손 213
 
5.2%
이 196
 
4.7%
영 146
 
3.5%
강 117
 
2.8%
환 114
 
2.8%
섭 110
 
2.7%
정 105
 
2.5%
Other values (231) 2399
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4096
99.2%
Space Separator 18
 
0.4%
Lowercase Letter 7
 
0.2%
Other Punctuation 3
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 275
 
6.7%
김 234
 
5.7%
아 221
 
5.4%
손 213
 
5.2%
이 196
 
4.8%
영 146
 
3.6%
강 117
 
2.9%
환 114
 
2.8%
섭 110
 
2.7%
정 105
 
2.6%
Other values (217) 2365
57.7%
Lowercase Letter
ValueCountFrequency (%)
b 1
14.3%
n 1
14.3%
i 1
14.3%
o 1
14.3%
e 1
14.3%
l 1
14.3%
y 1
14.3%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
& 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4096
99.2%
Common 25
 
0.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 275
 
6.7%
김 234
 
5.7%
아 221
 
5.4%
손 213
 
5.2%
이 196
 
4.8%
영 146
 
3.6%
강 117
 
2.9%
환 114
 
2.8%
섭 110
 
2.7%
정 105
 
2.6%
Other values (217) 2365
57.7%
Latin
ValueCountFrequency (%)
b 1
11.1%
E 1
11.1%
n 1
11.1%
i 1
11.1%
o 1
11.1%
R 1
11.1%
e 1
11.1%
l 1
11.1%
y 1
11.1%
Common
ValueCountFrequency (%)
18
72.0%
) 2
 
8.0%
( 2
 
8.0%
· 2
 
8.0%
& 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4096
99.2%
ASCII 32
 
0.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 275
 
6.7%
김 234
 
5.7%
아 221
 
5.4%
손 213
 
5.2%
이 196
 
4.8%
영 146
 
3.6%
강 117
 
2.9%
환 114
 
2.8%
섭 110
 
2.7%
정 105
 
2.6%
Other values (217) 2365
57.7%
ASCII
ValueCountFrequency (%)
18
56.2%
) 2
 
6.2%
( 2
 
6.2%
b 1
 
3.1%
E 1
 
3.1%
n 1
 
3.1%
i 1
 
3.1%
o 1
 
3.1%
R 1
 
3.1%
e 1
 
3.1%
Other values (3) 3
 
9.4%
None
ValueCountFrequency (%)
· 2
100.0%

Interactions

2023-12-12T16:42:29.756126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:42:35.085020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부문소장연도
부문1.0000.515
소장연도0.5151.000
2023-12-12T16:42:35.185476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장연도부문
소장연도1.0000.255
부문0.2551.000

Missing values

2023-12-12T16:42:29.845482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:42:29.931696image/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

부문소장연도작품명작품규격(cm)제작연도재료/기법작가명
0회화1998오월60.6×72.71996캔버스에 유채이영순
1회화1998변주곡 1764×94.51996캔버스에 유채이주영
2회화1998기운의 소리60.5×721996캔버스에 유채제정자
3회화1998인성60×601994캔버스에 혼합재료조영동
4회화1998추정60.6×72.71995캔버스에 혼합재료노광
5회화1998농촌풍경60.5×72.51996캔버스에 혼합재료윤후근
6회화1998호수정경65.2×911996캔버스에 혼합재료류영신
7회화1998주왕산60.8×731996캔버스에 혼합재료엄주택
8회화1998해(海)65×911996캔버스에 혼합재료이효숙
9회화1998축제91×72.51984캔버스에 혼합재료신봉균
부문소장연도작품명작품규격(cm)제작연도재료/기법작가명
1347한국화2022톨레도(스페인)208×150×(3)2020화선지에 수묵, 토분, 채색박능생
1348한국화2022오이코스-부케162.2×130.32021비단에 채색, 금분성민우
1349한국화2022어떤 경계204×2952019한지에 먹, 호분, 템페라유근택
1350회화2022선, 아라우카리아259.1×193.9×(3)2019캔버스에 과슈, 아크릴릭엄유정
1351회화2022하늬바람162.2×390.92015캔버스에 아크릴릭임재광
1352회화2022사구가 보이는 풍경 6162.2×112.12016-2022캔버스에 유채이주형
1353회화2022생명의 나무 1&2226×113×(2)2021종이에 수채스텔라수진
1354뉴미디어2022러브 포엠13분 15초(Ed.1/3)2021단채널 비디오(컬러,사운드)안옥현
1355조각2022솔 르윗 뒤집기-11배로 축소된 6단위 입방체215×284×2842021알루미늄 블라인드, 분체도장 알루미늄 및 스테인레스 강 천장 구조물, 강선, LED 라이트, 전선양혜규
1356회화2022자연으로97x193.91998혼합재료진정식

Duplicate rows

Most frequently occurring

부문소장연도작품명작품규격(cm)제작연도재료/기법작가명# duplicates
14회화2009색의 사이79×54.51988종이에 먹손아유10
23회화2009예향색93.9×181.4미상종이에 파스텔손아유8
4드로잉·판화2018무제63×901977종이에 실크스크린문승근5
19회화2009예향색65.5×99.51997종이에 파스텔손아유4
0드로잉·판화2009형태의 소거78.5×53.51983종이에 연필, 드로잉손아유3
1드로잉·판화2009형태의 소거 또는 흰색사이63×91미상종이에 연필, 드로잉손아유3
3드로잉·판화2009형태의 소거(판화)77×521989종이에 동판(에칭)손아유3
10회화2009Work70×1061992종이에 파스텔, 목탄손아유3
12회화2009색의 사이54.5×791988종이에 먹손아유3
13회화2009색의 사이78.8×54.51988종이에 먹손아유3