Overview

Dataset statistics

Number of variables7
Number of observations6580
Missing cells13
Missing cells (%)< 0.1%
Duplicate rows466
Duplicate rows (%)7.1%
Total size in memory360.0 KiB
Average record size in memory56.0 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description한국도자재단 소장품 정보
Author한국도자재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=UOCB716D75CW0BVNFQSI30296469&infSeq=1

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 466 (7.1%) duplicate rowsDuplicates
소장처 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 소장처High correlation

Reproduction

Analysis started2023-12-10 21:40:25.891002
Analysis finished2023-12-10 21:40:27.099405
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작품명
Text

Distinct3343
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size51.5 KiB
2023-12-11T06:40:27.345487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length6.2151976
Min length1

Characters and Unicode

Total characters40896
Distinct characters906
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2919 ?
Unique (%)44.4%

Sample

1st row폭풍전의 고요
2nd row종자생성 1
3rd row풍경 2
4th row새싹
5th row홀더 Ⅲ
ValueCountFrequency (%)
백자접시 544
 
5.8%
백자발 500
 
5.4%
백자잔 171
 
1.8%
백자 159
 
1.7%
청자접시 137
 
1.5%
도침 135
 
1.5%
갑발 104
 
1.1%
무제 95
 
1.0%
청자완 72
 
0.8%
접시 71
 
0.8%
Other values (3973) 7313
78.6%
2023-12-11T06:40:27.754622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 3542
 
8.7%
2727
 
6.7%
백 2379
 
5.8%
청 1639
 
4.0%
접 1458
 
3.6%
문 1322
 
3.2%
시 1285
 
3.1%
화 1219
 
3.0%
발 1077
 
2.6%
기 1054
 
2.6%
Other values (896) 23194
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35330
86.4%
Space Separator 2727
 
6.7%
Decimal Number 973
 
2.4%
Other Punctuation 662
 
1.6%
Lowercase Letter 328
 
0.8%
Open Punctuation 220
 
0.5%
Close Punctuation 218
 
0.5%
Dash Punctuation 205
 
0.5%
Uppercase Letter 157
 
0.4%
Letter Number 29
 
0.1%
Other values (4) 47
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 3542
 
10.0%
백 2379
 
6.7%
청 1639
 
4.6%
접 1458
 
4.1%
문 1322
 
3.7%
시 1285
 
3.6%
화 1219
 
3.5%
발 1077
 
3.0%
기 1054
 
3.0%
분 579
 
1.6%
Other values (805) 19776
56.0%
Uppercase Letter
ValueCountFrequency (%)
I 15
 
9.6%
P 12
 
7.6%
T 12
 
7.6%
N 12
 
7.6%
C 11
 
7.0%
A 10
 
6.4%
M 10
 
6.4%
G 9
 
5.7%
S 9
 
5.7%
L 8
 
5.1%
Other values (15) 49
31.2%
Lowercase Letter
ValueCountFrequency (%)
e 43
13.1%
o 41
12.5%
n 28
 
8.5%
a 26
 
7.9%
r 25
 
7.6%
i 23
 
7.0%
l 23
 
7.0%
s 17
 
5.2%
t 17
 
5.2%
g 12
 
3.7%
Other values (14) 73
22.3%
Other Punctuation
ValueCountFrequency (%)
' 410
61.9%
, 116
 
17.5%
# 31
 
4.7%
. 28
 
4.2%
" 25
 
3.8%
/ 15
 
2.3%
: 13
 
2.0%
? 8
 
1.2%
! 5
 
0.8%
& 5
 
0.8%
Other values (2) 6
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 216
22.2%
2 208
21.4%
0 113
11.6%
3 109
11.2%
5 80
 
8.2%
4 80
 
8.2%
8 48
 
4.9%
6 43
 
4.4%
7 41
 
4.2%
9 35
 
3.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 11
37.9%
Ⅱ 9
31.0%
Ⅲ 5
17.2%
Ⅸ 1
 
3.4%
Ⅹ 1
 
3.4%
Ⅷ 1
 
3.4%
Ⅳ 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 8
72.7%
~ 1
 
9.1%
× 1
 
9.1%
= 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 219
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 217
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 12
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35238
86.2%
Common 5052
 
12.4%
Latin 514
 
1.3%
Han 92
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 3542
 
10.1%
백 2379
 
6.8%
청 1639
 
4.7%
접 1458
 
4.1%
문 1322
 
3.8%
시 1285
 
3.6%
화 1219
 
3.5%
발 1077
 
3.1%
기 1054
 
3.0%
분 579
 
1.6%
Other values (754) 19684
55.9%
Latin
ValueCountFrequency (%)
e 43
 
8.4%
o 41
 
8.0%
n 28
 
5.4%
a 26
 
5.1%
r 25
 
4.9%
i 23
 
4.5%
l 23
 
4.5%
s 17
 
3.3%
t 17
 
3.3%
I 15
 
2.9%
Other values (46) 256
49.8%
Han
ValueCountFrequency (%)
內 11
 
12.0%
贍 10
 
10.9%
小 8
 
8.7%
大 7
 
7.6%
中 4
 
4.3%
花 3
 
3.3%
天 2
 
2.2%
甲 2
 
2.2%
無 2
 
2.2%
積 2
 
2.2%
Other values (41) 41
44.6%
Common
ValueCountFrequency (%)
2727
54.0%
' 410
 
8.1%
( 219
 
4.3%
) 217
 
4.3%
1 216
 
4.3%
2 208
 
4.1%
- 205
 
4.1%
, 116
 
2.3%
0 113
 
2.2%
3 109
 
2.2%
Other values (25) 512
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35232
86.2%
ASCII 5506
 
13.5%
CJK 91
 
0.2%
Number Forms 29
 
0.1%
Punctuation 27
 
0.1%
Compat Jamo 6
 
< 0.1%
None 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 3542
 
10.1%
백 2379
 
6.8%
청 1639
 
4.7%
접 1458
 
4.1%
문 1322
 
3.8%
시 1285
 
3.6%
화 1219
 
3.5%
발 1077
 
3.1%
기 1054
 
3.0%
분 579
 
1.6%
Other values (751) 19678
55.9%
ASCII
ValueCountFrequency (%)
2727
49.5%
' 410
 
7.4%
( 219
 
4.0%
) 217
 
3.9%
1 216
 
3.9%
2 208
 
3.8%
- 205
 
3.7%
, 116
 
2.1%
0 113
 
2.1%
3 109
 
2.0%
Other values (69) 966
 
17.5%
Punctuation
ValueCountFrequency (%)
‘ 12
44.4%
’ 12
44.4%
… 3
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 11
37.9%
Ⅱ 9
31.0%
Ⅲ 5
17.2%
Ⅸ 1
 
3.4%
Ⅹ 1
 
3.4%
Ⅷ 1
 
3.4%
Ⅳ 1
 
3.4%
CJK
ValueCountFrequency (%)
內 11
 
12.1%
贍 10
 
11.0%
小 8
 
8.8%
大 7
 
7.7%
中 4
 
4.4%
花 3
 
3.3%
天 2
 
2.2%
甲 2
 
2.2%
無 2
 
2.2%
積 2
 
2.2%
Other values (40) 40
44.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
66.7%
ㄱ 1
 
16.7%
ㅇ 1
 
16.7%
None
ValueCountFrequency (%)
· 3
75.0%
× 1
 
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
裂 1
100.0%

작가명
Text

Distinct1722
Distinct (%)26.2%
Missing1
Missing (%)< 0.1%
Memory size51.5 KiB
2023-12-11T06:40:28.167802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length4
Mean length10.022344
Min length2

Characters and Unicode

Total characters65937
Distinct characters689
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1401 ?
Unique (%)21.3%

Sample

1st row전소영 (Chon Soyoung)
2nd row잉여 추앙 (Ying Yueh CHUANG)
3rd row크리스틴 클리어아웃 (Christine CLAERHOUT)
4th row베데 클락 (Bede CLARKE)
5th row우술라 코만테르 (Ursula COMMANDEUR)
ValueCountFrequency (%)
작가미상 4043
32.8%
artist 187
 
1.5%
unknown 135
 
1.1%
lee 94
 
0.8%
kim 87
 
0.7%
park 55
 
0.4%
천한봉 46
 
0.4%
작가미상(unknown 44
 
0.4%
36
 
0.3%
choi 28
 
0.2%
Other values (4217) 7580
61.5%
2023-12-11T06:40:28.746821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7246
 
11.0%
미 4195
 
6.4%
가 4160
 
6.3%
상 4155
 
6.3%
작 4092
 
6.2%
n 2351
 
3.6%
a 2162
 
3.3%
) 2109
 
3.2%
( 2109
 
3.2%
o 1777
 
2.7%
Other values (679) 31581
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28304
42.9%
Lowercase Letter 17492
26.5%
Uppercase Letter 8303
 
12.6%
Space Separator 7246
 
11.0%
Close Punctuation 2109
 
3.2%
Open Punctuation 2109
 
3.2%
Dash Punctuation 209
 
0.3%
Other Punctuation 157
 
0.2%
Decimal Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 4195
14.8%
가 4160
14.7%
상 4155
14.7%
작 4092
14.5%
이 467
 
1.6%
스 334
 
1.2%
리 333
 
1.2%
라 234
 
0.8%
마 206
 
0.7%
김 201
 
0.7%
Other values (613) 9927
35.1%
Lowercase Letter
ValueCountFrequency (%)
n 2351
13.4%
a 2162
12.4%
o 1777
10.2%
i 1569
 
9.0%
e 1498
 
8.6%
r 986
 
5.6%
t 814
 
4.7%
u 794
 
4.5%
s 792
 
4.5%
l 659
 
3.8%
Other values (17) 4090
23.4%
Uppercase Letter
ValueCountFrequency (%)
A 763
 
9.2%
S 584
 
7.0%
E 510
 
6.1%
M 494
 
5.9%
K 487
 
5.9%
H 483
 
5.8%
R 454
 
5.5%
L 442
 
5.3%
N 418
 
5.0%
U 399
 
4.8%
Other values (17) 3269
39.4%
Other Punctuation
ValueCountFrequency (%)
, 64
40.8%
. 62
39.5%
? 20
 
12.7%
& 8
 
5.1%
· 3
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
3 3
37.5%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
7246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28262
42.9%
Latin 25795
39.1%
Common 11838
18.0%
Han 39
 
0.1%
Katakana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 4195
14.8%
가 4160
14.7%
상 4155
14.7%
작 4092
14.5%
이 467
 
1.7%
스 334
 
1.2%
리 333
 
1.2%
라 234
 
0.8%
마 206
 
0.7%
김 201
 
0.7%
Other values (580) 9885
35.0%
Latin
ValueCountFrequency (%)
n 2351
 
9.1%
a 2162
 
8.4%
o 1777
 
6.9%
i 1569
 
6.1%
e 1498
 
5.8%
r 986
 
3.8%
t 814
 
3.2%
u 794
 
3.1%
s 792
 
3.1%
A 763
 
3.0%
Other values (44) 12289
47.6%
Han
ValueCountFrequency (%)
榮 3
 
7.7%
道 3
 
7.7%
金 3
 
7.7%
知 2
 
5.1%
李 2
 
5.1%
故 2
 
5.1%
宰 1
 
2.6%
良 1
 
2.6%
崔 1
 
2.6%
洪 1
 
2.6%
Other values (20) 20
51.3%
Common
ValueCountFrequency (%)
7246
61.2%
) 2109
 
17.8%
( 2109
 
17.8%
- 209
 
1.8%
, 64
 
0.5%
. 62
 
0.5%
? 20
 
0.2%
& 8
 
0.1%
1 4
 
< 0.1%
3 3
 
< 0.1%
Other values (2) 4
 
< 0.1%
Katakana
ValueCountFrequency (%)
ヒ 1
33.3%
デ 1
33.3%
オ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37625
57.1%
Hangul 28262
42.9%
CJK 36
 
0.1%
None 8
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Katakana 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7246
19.3%
n 2351
 
6.2%
a 2162
 
5.7%
) 2109
 
5.6%
( 2109
 
5.6%
o 1777
 
4.7%
i 1569
 
4.2%
e 1498
 
4.0%
r 986
 
2.6%
t 814
 
2.2%
Other values (53) 15004
39.9%
Hangul
ValueCountFrequency (%)
미 4195
14.8%
가 4160
14.7%
상 4155
14.7%
작 4092
14.5%
이 467
 
1.7%
스 334
 
1.2%
리 333
 
1.2%
라 234
 
0.8%
마 206
 
0.7%
김 201
 
0.7%
Other values (580) 9885
35.0%
None
ValueCountFrequency (%)
Ø 3
37.5%
· 3
37.5%
ø 2
25.0%
CJK
ValueCountFrequency (%)
榮 3
 
8.3%
道 3
 
8.3%
金 3
 
8.3%
知 2
 
5.6%
故 2
 
5.6%
宰 1
 
2.8%
崔 1
 
2.8%
洪 1
 
2.8%
瑄 1
 
2.8%
岡 1
 
2.8%
Other values (18) 18
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
66.7%
良 1
33.3%
Katakana
ValueCountFrequency (%)
ヒ 1
33.3%
デ 1
33.3%
オ 1
33.3%

국적
Text

Distinct78
Distinct (%)1.2%
Missing9
Missing (%)0.1%
Memory size51.5 KiB
2023-12-11T06:40:28.989777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.6650434
Min length2

Characters and Unicode

Total characters37225
Distinct characters128
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

Unique8 ?
Unique (%)0.1%

Sample

1st row한국-2000년 이후
2nd row아시아-대만
3rd row유럽-벨기에
4th row아메리카-미국
5th row유럽-독일
ValueCountFrequency (%)
대한민국 3913
51.6%
이후 1005
 
13.3%
한국-2000년 782
 
10.3%
아메리카-미국 253
 
3.3%
일본-2000년 168
 
2.2%
한국-대한제국 124
 
1.6%
북한 122
 
1.6%
유럽-영국 105
 
1.4%
일본 79
 
1.0%
한국-광복이후 77
 
1.0%
Other values (69) 948
 
12.5%
2023-12-11T06:40:29.504995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5481
14.7%
한 5156
13.9%
대 4059
10.9%
민 3913
10.5%
0 3015
 
8.1%
- 2436
 
6.5%
이 1197
 
3.2%
후 1102
 
3.0%
년 1025
 
2.8%
2 1005
 
2.7%
Other values (118) 8836
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29678
79.7%
Decimal Number 4100
 
11.0%
Dash Punctuation 2436
 
6.5%
Space Separator 1005
 
2.7%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5481
18.5%
한 5156
17.4%
대 4059
13.7%
민 3913
13.2%
이 1197
 
4.0%
후 1102
 
3.7%
년 1025
 
3.5%
아 975
 
3.3%
리 598
 
2.0%
유 571
 
1.9%
Other values (108) 5601
18.9%
Decimal Number
ValueCountFrequency (%)
0 3015
73.5%
2 1005
 
24.5%
5 20
 
0.5%
4 20
 
0.5%
9 20
 
0.5%
1 20
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 2436
100.0%
Space Separator
ValueCountFrequency (%)
1005
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29678
79.7%
Common 7547
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5481
18.5%
한 5156
17.4%
대 4059
13.7%
민 3913
13.2%
이 1197
 
4.0%
후 1102
 
3.7%
년 1025
 
3.5%
아 975
 
3.3%
리 598
 
2.0%
유 571
 
1.9%
Other values (108) 5601
18.9%
Common
ValueCountFrequency (%)
0 3015
39.9%
- 2436
32.3%
2 1005
 
13.3%
1005
 
13.3%
5 20
 
0.3%
4 20
 
0.3%
9 20
 
0.3%
1 20
 
0.3%
( 3
 
< 0.1%
) 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29678
79.7%
ASCII 7547
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5481
18.5%
한 5156
17.4%
대 4059
13.7%
민 3913
13.2%
이 1197
 
4.0%
후 1102
 
3.7%
년 1025
 
3.5%
아 975
 
3.3%
리 598
 
2.0%
유 571
 
1.9%
Other values (108) 5601
18.9%
ASCII
ValueCountFrequency (%)
0 3015
39.9%
- 2436
32.3%
2 1005
 
13.3%
1005
 
13.3%
5 20
 
0.3%
4 20
 
0.3%
9 20
 
0.3%
1 20
 
0.3%
( 3
 
< 0.1%
) 3
 
< 0.1%

제작연도
Text

Distinct126
Distinct (%)1.9%
Missing3
Missing (%)< 0.1%
Memory size51.5 KiB
2023-12-11T06:40:29.789552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length4.5551163
Min length1

Characters and Unicode

Total characters29959
Distinct characters54
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.6%

Sample

1st row2001
2nd row2000
3rd row2000
4th row2000
5th row1999
ValueCountFrequency (%)
15~16세기 900
 
13.7%
2001 667
 
10.1%
17세기 660
 
10.0%
고려 401
 
6.1%
15세기 340
 
5.2%
2000 332
 
5.0%
16세기 310
 
4.7%
2005 258
 
3.9%
19세기 201
 
3.1%
2006 173
 
2.6%
Other values (116) 2345
35.6%
2023-12-11T06:40:30.245044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6151
20.5%
0 5456
18.2%
기 3250
10.8%
세 3237
10.8%
2 2951
9.9%
5 1751
 
5.8%
6 1450
 
4.8%
~ 1422
 
4.7%
9 1153
 
3.8%
7 982
 
3.3%
Other values (44) 2156
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20980
70.0%
Other Letter 7501
 
25.0%
Math Symbol 1422
 
4.7%
Dash Punctuation 20
 
0.1%
Lowercase Letter 12
 
< 0.1%
Space Separator 10
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3250
43.3%
세 3237
43.2%
고 405
 
5.4%
려 405
 
5.4%
대 40
 
0.5%
현 29
 
0.4%
근 27
 
0.4%
년 20
 
0.3%
전 14
 
0.2%
조 11
 
0.1%
Other values (15) 63
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 6151
29.3%
0 5456
26.0%
2 2951
14.1%
5 1751
 
8.3%
6 1450
 
6.9%
9 1153
 
5.5%
7 982
 
4.7%
8 469
 
2.2%
4 358
 
1.7%
3 259
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
n 3
25.0%
t 2
16.7%
a 1
 
8.3%
w 1
 
8.3%
i 1
 
8.3%
s 1
 
8.3%
o 1
 
8.3%
k 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
· 1
20.0%
? 1
20.0%
. 1
20.0%
Math Symbol
ValueCountFrequency (%)
~ 1422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22445
74.9%
Hangul 7501
 
25.0%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3250
43.3%
세 3237
43.2%
고 405
 
5.4%
려 405
 
5.4%
대 40
 
0.5%
현 29
 
0.4%
근 27
 
0.4%
년 20
 
0.3%
전 14
 
0.2%
조 11
 
0.1%
Other values (15) 63
 
0.8%
Common
ValueCountFrequency (%)
1 6151
27.4%
0 5456
24.3%
2 2951
13.1%
5 1751
 
7.8%
6 1450
 
6.5%
~ 1422
 
6.3%
9 1153
 
5.1%
7 982
 
4.4%
8 469
 
2.1%
4 358
 
1.6%
Other values (9) 302
 
1.3%
Latin
ValueCountFrequency (%)
n 3
23.1%
t 2
15.4%
a 1
 
7.7%
w 1
 
7.7%
i 1
 
7.7%
s 1
 
7.7%
o 1
 
7.7%
k 1
 
7.7%
U 1
 
7.7%
r 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22457
75.0%
Hangul 7501
 
25.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6151
27.4%
0 5456
24.3%
2 2951
13.1%
5 1751
 
7.8%
6 1450
 
6.5%
~ 1422
 
6.3%
9 1153
 
5.1%
7 982
 
4.4%
8 469
 
2.1%
4 358
 
1.6%
Other values (18) 314
 
1.4%
Hangul
ValueCountFrequency (%)
기 3250
43.3%
세 3237
43.2%
고 405
 
5.4%
려 405
 
5.4%
대 40
 
0.5%
현 29
 
0.4%
근 27
 
0.4%
년 20
 
0.3%
전 14
 
0.2%
조 11
 
0.1%
Other values (15) 63
 
0.8%
None
ValueCountFrequency (%)
· 1
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.5 KiB
학술유물
3223 
현대조형도자
1194 
생활도자
994 
전통전승
707 
유물
431 

Length

Max length6
Median length4
Mean length4.2224924
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학술유물 3223
49.0%
현대조형도자 1194
 
18.1%
생활도자 994
 
15.1%
전통전승 707
 
10.7%
유물 431
 
6.6%
자료 31
 
0.5%

Length

2023-12-11T06:40:30.414461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:30.568962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학술유물 3223
49.0%
현대조형도자 1194
 
18.1%
생활도자 994
 
15.1%
전통전승 707
 
10.7%
유물 431
 
6.6%
자료 31
 
0.5%

소장처
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.5 KiB
한국도자재단-경기도자박물관
4114 
한국도자재단-경기도자미술관
2466 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국도자재단-경기도자미술관
2nd row한국도자재단-경기도자미술관
3rd row한국도자재단-경기도자미술관
4th row한국도자재단-경기도자미술관
5th row한국도자재단-경기도자미술관

Common Values

ValueCountFrequency (%)
한국도자재단-경기도자박물관 4114
62.5%
한국도자재단-경기도자미술관 2466
37.5%

Length

2023-12-11T06:40:30.711085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:30.813539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국도자재단-경기도자박물관 4114
62.5%
한국도자재단-경기도자미술관 2466
37.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.5 KiB
Minimum2023-07-14 00:00:00
Maximum2023-07-14 00:00:00
2023-12-11T06:40:30.917884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:31.029099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T06:40:31.110757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국적구분소장처
국적1.0000.8601.000
구분0.8601.0000.996
소장처1.0000.9961.000
2023-12-11T06:40:31.198575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장처구분
소장처1.0000.946
구분0.9461.000
2023-12-11T06:40:31.290527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소장처
구분1.0000.946
소장처0.9461.000

Missing values

2023-12-11T06:40:26.823042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:40:26.928802image/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.
2023-12-11T06:40:27.019708image/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

작품명작가명국적제작연도구분소장처데이터기준일자
0폭풍전의 고요전소영 (Chon Soyoung)한국-2000년 이후2001현대조형도자한국도자재단-경기도자미술관2023-07-14
1종자생성 1잉여 추앙 (Ying Yueh CHUANG)아시아-대만2000현대조형도자한국도자재단-경기도자미술관2023-07-14
2풍경 2크리스틴 클리어아웃 (Christine CLAERHOUT)유럽-벨기에2000현대조형도자한국도자재단-경기도자미술관2023-07-14
3새싹베데 클락 (Bede CLARKE)아메리카-미국2000현대조형도자한국도자재단-경기도자미술관2023-07-14
4홀더 Ⅲ우술라 코만테르 (Ursula COMMANDEUR)유럽-독일1999현대조형도자한국도자재단-경기도자미술관2023-07-14
5바다이시도로 달 콜 (Isidoro DAL COL)유럽-이탈리아2000현대조형도자한국도자재단-경기도자미술관2023-07-14
6그릇 구조물 : 분열트욕 데사우바지 (Tjok DESSAUVAGE)유럽-벨기에2001현대조형도자한국도자재단-경기도자미술관2023-07-14
7플랑드르 베개 Ⅷ보그단 드미트리카 (Bogdan DUMITRICA)아메리카-미국2000현대조형도자한국도자재단-경기도자미술관2023-07-14
8사랑죽음먼지젠스 얼렌드 (Jens ERLAND)유럽-노르웨이2001현대조형도자한국도자재단-경기도자미술관2023-07-14
9가을아네트 플로렌 (Annett FLOREN)유럽-스웨덴2000현대조형도자한국도자재단-경기도자미술관2023-07-14
작품명작가명국적제작연도구분소장처데이터기준일자
6570스무개의 그림자크리스틴 레번 (Christine Rebhuhn)아메리카-미국2014현대조형도자한국도자재단-경기도자미술관2023-07-14
6571유기적 - 기하학적 형태의 오브제 연작하산 샤팔 (Hasan ?ahbaz)유럽-터키2014현대조형도자한국도자재단-경기도자미술관2023-07-14
6572매치 II루타 쉬팔리티 (Ruta Sipalyte)유럽-리투아니아2014현대조형도자한국도자재단-경기도자미술관2023-07-14
6573코에 탈을 쓴 소녀들누리아 토레스 도밍거즈 (Nuria Torres Dominguez)유럽-스페인2014현대조형도자한국도자재단-경기도자미술관2023-07-14
6574(영상) 안_6(安)이민재 (Minjae Lee)한국-2000년 이후2014현대조형도자한국도자재단-경기도자미술관2023-07-14
6575행운의 고양이아이코 츠모리 (Aico Tsumori)일본-2000년 이후2017현대조형도자한국도자재단-경기도자미술관2023-07-14
6576가짜 고양이오이시 사야카 (Oishi Sayaka)일본-2000년 이후2017현대조형도자한국도자재단-경기도자미술관2023-07-14
6577불이 나는 그릇마스모토 케이코 (Masumoto Keiko)일본-2000년 이후2017현대조형도자한국도자재단-경기도자미술관2023-07-14
6578아민을 위한 골호장허민 (Homin Chang)아시아-대만2016현대조형도자한국도자재단-경기도자미술관2023-07-14
6579살아간다왕 크리스틴 이팅 (Christine Yiting Wang)아시아-대만2017현대조형도자한국도자재단-경기도자미술관2023-07-14

Duplicate rows

Most frequently occurring

작품명작가명국적제작연도구분소장처데이터기준일자# duplicates
149백자접시작가미상대한민국17세기학술유물한국도자재단-경기도자박물관2023-07-14220
87백자발작가미상대한민국17세기학술유물한국도자재단-경기도자박물관2023-07-14164
82백자발작가미상대한민국15~16세기학술유물한국도자재단-경기도자박물관2023-07-14160
144백자접시작가미상대한민국15~16세기학술유물한국도자재단-경기도자박물관2023-07-14150
393청자완작가미상대한민국고려학술유물한국도자재단-경기도자박물관2023-07-1464
21도침작가미상대한민국15~16세기학술유물한국도자재단-경기도자박물관2023-07-1460
424청자접시작가미상대한민국고려학술유물한국도자재단-경기도자박물관2023-07-1459
131백자잔작가미상대한민국15~16세기학술유물한국도자재단-경기도자박물관2023-07-1456
360청자발작가미상대한민국고려학술유물한국도자재단-경기도자박물관2023-07-1456
83백자발작가미상대한민국15세기학술유물한국도자재단-경기도자박물관2023-07-1447