Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells519
Missing cells (%)1.0%
Duplicate rows782
Duplicate rows (%)7.8%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Categorical1
Text3
Numeric1

Dataset

Description경상남도 도립미술관 도서자료 및 소장품 목록 자료입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3076376

Alerts

Dataset has 782 (7.8%) duplicate rowsDuplicates
자료분류 is highly imbalanced (85.5%)Imbalance
발행처 has 464 (4.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:43:42.798959
Analysis finished2023-12-10 23:43:44.730294
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료분류
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
예술
9382 
역사
 
176
총류
 
129
사회과학
 
96
문학
 
92
Other values (6)
 
125

Length

Max length4
Median length2
Mean length2.0282
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예술 9382
93.8%
역사 176
 
1.8%
총류 129
 
1.3%
사회과학 96
 
1.0%
문학 92
 
0.9%
철학 57
 
0.6%
기술과학 36
 
0.4%
종교 12
 
0.1%
어학 11
 
0.1%
순수과학 7
 
0.1%

Length

2023-12-11T08:43:44.794545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
예술 9382
93.8%
역사 176
 
1.8%
총류 129
 
1.3%
사회과학 96
 
1.0%
문학 92
 
0.9%
철학 57
 
0.6%
기술과학 36
 
0.4%
종교 12
 
0.1%
어학 11
 
0.1%
순수과학 7
 
0.1%
Distinct8863
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:43:45.052025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length54
Mean length19.892
Min length2

Characters and Unicode

Total characters198920
Distinct characters1758
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8000 ?
Unique (%)80.0%

Sample

1st rowYoung Eyes Seeing
2nd row우리 삶이 춤이 된다면 : 일상을 깨우는 바로 그 순간의 기록들
3rd row서울아트가이드 Seoul Art Guide 2011. 9
4th row미술세계 2011.11
5th row화가 헤세
ValueCountFrequency (%)
2398
 
5.8%
art 593
 
1.4%
2011 264
 
0.6%
2010 252
 
0.6%
2009 245
 
0.6%
2007 242
 
0.6%
2012 236
 
0.6%
2008 236
 
0.6%
223
 
0.5%
아트인컬처 219
 
0.5%
Other values (14222) 36186
88.1%
2023-12-11T08:43:45.407945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31844
 
16.0%
0 7091
 
3.6%
2 5614
 
2.8%
1 5345
 
2.7%
. 4115
 
2.1%
3165
 
1.6%
3009
 
1.5%
- 2830
 
1.4%
A 2415
 
1.2%
2354
 
1.2%
Other values (1748) 131138
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93286
46.9%
Space Separator 31844
 
16.0%
Decimal Number 25826
 
13.0%
Uppercase Letter 18668
 
9.4%
Lowercase Letter 16697
 
8.4%
Other Punctuation 6420
 
3.2%
Dash Punctuation 2830
 
1.4%
Open Punctuation 993
 
0.5%
Close Punctuation 984
 
0.5%
Math Symbol 828
 
0.4%
Other values (6) 544
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3165
 
3.4%
3009
 
3.2%
2354
 
2.5%
2055
 
2.2%
1751
 
1.9%
1736
 
1.9%
1582
 
1.7%
1417
 
1.5%
1386
 
1.5%
1235
 
1.3%
Other values (1636) 73596
78.9%
Uppercase Letter
ValueCountFrequency (%)
A 2415
12.9%
I 1390
 
7.4%
E 1379
 
7.4%
N 1361
 
7.3%
S 1296
 
6.9%
T 1198
 
6.4%
R 1063
 
5.7%
O 1049
 
5.6%
C 769
 
4.1%
G 727
 
3.9%
Other values (17) 6021
32.3%
Lowercase Letter
ValueCountFrequency (%)
e 2088
12.5%
t 1561
9.3%
i 1553
9.3%
r 1550
9.3%
o 1490
8.9%
n 1217
 
7.3%
a 1214
 
7.3%
u 947
 
5.7%
l 827
 
5.0%
s 740
 
4.4%
Other values (16) 3510
21.0%
Other Punctuation
ValueCountFrequency (%)
. 4115
64.1%
: 847
 
13.2%
, 560
 
8.7%
/ 205
 
3.2%
& 151
 
2.4%
' 143
 
2.2%
? 100
 
1.6%
· 73
 
1.1%
; 65
 
1.0%
" 54
 
0.8%
Other values (4) 107
 
1.7%
Letter Number
ValueCountFrequency (%)
56
31.8%
32
18.2%
30
17.0%
24
13.6%
14
 
8.0%
8
 
4.5%
4
 
2.3%
3
 
1.7%
2
 
1.1%
2
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 7091
27.5%
2 5614
21.7%
1 5345
20.7%
9 1539
 
6.0%
3 1141
 
4.4%
8 1075
 
4.2%
5 1054
 
4.1%
6 1036
 
4.0%
4 998
 
3.9%
7 933
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 459
55.4%
< 160
 
19.3%
> 158
 
19.1%
+ 41
 
5.0%
| 4
 
0.5%
2
 
0.2%
= 2
 
0.2%
1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 984
99.1%
[ 6
 
0.6%
2
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 975
99.1%
] 6
 
0.6%
2
 
0.2%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
31844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2830
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 347
100.0%
Final Punctuation
ValueCountFrequency (%)
11
100.0%
Initial Punctuation
ValueCountFrequency (%)
5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89552
45.0%
Common 70093
35.2%
Latin 35534
 
17.9%
Han 3709
 
1.9%
Hiragana 13
 
< 0.1%
Katakana 12
 
< 0.1%
Greek 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3165
 
3.5%
3009
 
3.4%
2354
 
2.6%
2055
 
2.3%
1751
 
2.0%
1736
 
1.9%
1582
 
1.8%
1417
 
1.6%
1386
 
1.5%
1235
 
1.4%
Other values (906) 69862
78.0%
Han
ValueCountFrequency (%)
800
 
21.6%
104
 
2.8%
89
 
2.4%
59
 
1.6%
44
 
1.2%
43
 
1.2%
41
 
1.1%
40
 
1.1%
38
 
1.0%
37
 
1.0%
Other values (703) 2414
65.1%
Latin
ValueCountFrequency (%)
A 2415
 
6.8%
e 2088
 
5.9%
t 1561
 
4.4%
i 1553
 
4.4%
r 1550
 
4.4%
o 1490
 
4.2%
I 1390
 
3.9%
E 1379
 
3.9%
N 1361
 
3.8%
S 1296
 
3.6%
Other values (53) 19451
54.7%
Common
ValueCountFrequency (%)
31844
45.4%
0 7091
 
10.1%
2 5614
 
8.0%
1 5345
 
7.6%
. 4115
 
5.9%
- 2830
 
4.0%
9 1539
 
2.2%
3 1141
 
1.6%
8 1075
 
1.5%
5 1054
 
1.5%
Other values (38) 8445
 
12.0%
Hiragana
ValueCountFrequency (%)
4
30.8%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Katakana
ValueCountFrequency (%)
4
33.3%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Greek
ValueCountFrequency (%)
Ι 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105351
53.0%
Hangul 89550
45.0%
CJK 3646
 
1.8%
Number Forms 176
 
0.1%
None 88
 
< 0.1%
CJK Compat Ideographs 63
 
< 0.1%
Punctuation 16
 
< 0.1%
Hiragana 13
 
< 0.1%
Katakana 12
 
< 0.1%
Math Operators 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31844
30.2%
0 7091
 
6.7%
2 5614
 
5.3%
1 5345
 
5.1%
. 4115
 
3.9%
- 2830
 
2.7%
A 2415
 
2.3%
e 2088
 
2.0%
t 1561
 
1.5%
i 1553
 
1.5%
Other values (79) 40895
38.8%
Hangul
ValueCountFrequency (%)
3165
 
3.5%
3009
 
3.4%
2354
 
2.6%
2055
 
2.3%
1751
 
2.0%
1736
 
1.9%
1582
 
1.8%
1417
 
1.6%
1386
 
1.5%
1235
 
1.4%
Other values (904) 69860
78.0%
CJK
ValueCountFrequency (%)
800
 
21.9%
104
 
2.9%
89
 
2.4%
59
 
1.6%
44
 
1.2%
43
 
1.2%
41
 
1.1%
40
 
1.1%
38
 
1.0%
37
 
1.0%
Other values (679) 2351
64.5%
None
ValueCountFrequency (%)
· 73
83.0%
Ι 7
 
8.0%
2
 
2.3%
2
 
2.3%
1
 
1.1%
1
 
1.1%
1
 
1.1%
1
 
1.1%
Number Forms
ValueCountFrequency (%)
56
31.8%
32
18.2%
30
17.0%
24
13.6%
14
 
8.0%
8
 
4.5%
4
 
2.3%
3
 
1.7%
2
 
1.1%
2
 
1.1%
CJK Compat Ideographs
ValueCountFrequency (%)
22
34.9%
7
 
11.1%
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (14) 16
25.4%
Punctuation
ValueCountFrequency (%)
11
68.8%
5
31.2%
Hiragana
ValueCountFrequency (%)
4
30.8%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Katakana
ValueCountFrequency (%)
4
33.3%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Math Operators
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct4212
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:43:45.654542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length6.3241
Min length2

Characters and Unicode

Total characters63241
Distinct characters751
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

Unique3192 ?
Unique (%)31.9%

Sample

1st row김소영 외4
2nd row조던 매터
3rd row서울아트가이드
4th row미술세계
5th row헤르만 헤세
ValueCountFrequency (%)
경남도립미술관 778
 
6.2%
아트인컬처 220
 
1.7%
월간미술 215
 
1.7%
미술세계 205
 
1.6%
서울아트가이드 179
 
1.4%
국립현대미술관 129
 
1.0%
부산시립미술관 113
 
0.9%
퍼블릭아트 112
 
0.9%
갤러리 104
 
0.8%
미술신문 100
 
0.8%
Other values (4979) 10441
82.9%
2023-12-11T08:43:46.008203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3125
 
4.9%
3075
 
4.9%
2735
 
4.3%
2234
 
3.5%
1561
 
2.5%
1369
 
2.2%
1264
 
2.0%
1168
 
1.8%
1154
 
1.8%
1118
 
1.8%
Other values (741) 44438
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53308
84.3%
Lowercase Letter 3512
 
5.6%
Uppercase Letter 2942
 
4.7%
Space Separator 2735
 
4.3%
Other Punctuation 421
 
0.7%
Dash Punctuation 93
 
0.1%
Decimal Number 80
 
0.1%
Close Punctuation 76
 
0.1%
Open Punctuation 73
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3125
 
5.9%
3075
 
5.8%
2234
 
4.2%
1561
 
2.9%
1369
 
2.6%
1264
 
2.4%
1168
 
2.2%
1154
 
2.2%
1118
 
2.1%
1088
 
2.0%
Other values (664) 36152
67.8%
Lowercase Letter
ValueCountFrequency (%)
e 471
13.4%
r 444
12.6%
a 414
11.8%
i 298
8.5%
t 297
8.5%
n 288
8.2%
s 220
 
6.3%
u 161
 
4.6%
o 129
 
3.7%
m 119
 
3.4%
Other values (16) 671
19.1%
Uppercase Letter
ValueCountFrequency (%)
A 570
19.4%
S 265
 
9.0%
N 255
 
8.7%
B 239
 
8.1%
T 195
 
6.6%
M 148
 
5.0%
R 133
 
4.5%
K 129
 
4.4%
C 124
 
4.2%
I 111
 
3.8%
Other values (15) 773
26.3%
Decimal Number
ValueCountFrequency (%)
2 13
16.2%
0 13
16.2%
1 13
16.2%
3 9
11.2%
6 7
8.8%
5 7
8.8%
4 6
7.5%
9 5
 
6.2%
8 4
 
5.0%
7 3
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 275
65.3%
. 98
 
23.3%
/ 11
 
2.6%
? 10
 
2.4%
& 9
 
2.1%
· 7
 
1.7%
; 4
 
1.0%
' 4
 
1.0%
# 3
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 73
96.1%
] 3
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 70
95.9%
[ 3
 
4.1%
Space Separator
ValueCountFrequency (%)
2735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53294
84.3%
Latin 6454
 
10.2%
Common 3479
 
5.5%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3125
 
5.9%
3075
 
5.8%
2234
 
4.2%
1561
 
2.9%
1369
 
2.6%
1264
 
2.4%
1168
 
2.2%
1154
 
2.2%
1118
 
2.1%
1088
 
2.0%
Other values (652) 36138
67.8%
Latin
ValueCountFrequency (%)
A 570
 
8.8%
e 471
 
7.3%
r 444
 
6.9%
a 414
 
6.4%
i 298
 
4.6%
t 297
 
4.6%
n 288
 
4.5%
S 265
 
4.1%
N 255
 
4.0%
B 239
 
3.7%
Other values (41) 2913
45.1%
Common
ValueCountFrequency (%)
2735
78.6%
, 275
 
7.9%
. 98
 
2.8%
- 93
 
2.7%
) 73
 
2.1%
( 70
 
2.0%
2 13
 
0.4%
0 13
 
0.4%
1 13
 
0.4%
/ 11
 
0.3%
Other values (16) 85
 
2.4%
Han
ValueCountFrequency (%)
2
14.3%
2
14.3%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53294
84.3%
ASCII 9926
 
15.7%
CJK 14
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3125
 
5.9%
3075
 
5.8%
2234
 
4.2%
1561
 
2.9%
1369
 
2.6%
1264
 
2.4%
1168
 
2.2%
1154
 
2.2%
1118
 
2.1%
1088
 
2.0%
Other values (652) 36138
67.8%
ASCII
ValueCountFrequency (%)
2735
27.6%
A 570
 
5.7%
e 471
 
4.7%
r 444
 
4.5%
a 414
 
4.2%
i 298
 
3.0%
t 297
 
3.0%
n 288
 
2.9%
, 275
 
2.8%
S 265
 
2.7%
Other values (66) 3869
39.0%
None
ValueCountFrequency (%)
· 7
100.0%
CJK
ValueCountFrequency (%)
2
14.3%
2
14.3%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
Other values (2) 2
14.3%

발행처
Text

MISSING 

Distinct2782
Distinct (%)29.2%
Missing464
Missing (%)4.6%
Memory size156.2 KiB
2023-12-11T08:43:46.250660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length6.7935193
Min length1

Characters and Unicode

Total characters64783
Distinct characters648
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1878 ?
Unique (%)19.7%

Sample

1st rowYES
2nd row시공아트
3rd row김달진미술연구소
4th row미술세계
5th row이레
ValueCountFrequency (%)
경남도립미술관 820
 
7.0%
미술세계 226
 
1.9%
월간미술 217
 
1.9%
김달진미술연구소 156
 
1.3%
에이엠아트 147
 
1.3%
국립현대미술관 146
 
1.3%
갤러리 143
 
1.2%
부산시립미술관 122
 
1.0%
art 113
 
1.0%
퍼블릭아트 110
 
0.9%
Other values (2898) 9463
81.1%
2023-12-11T08:43:46.630065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3807
 
5.9%
3715
 
5.7%
2614
 
4.0%
2268
 
3.5%
1668
 
2.6%
1393
 
2.2%
1311
 
2.0%
1206
 
1.9%
1190
 
1.8%
1189
 
1.8%
Other values (638) 44422
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55002
84.9%
Lowercase Letter 3861
 
6.0%
Uppercase Letter 3156
 
4.9%
Space Separator 2268
 
3.5%
Other Punctuation 145
 
0.2%
Decimal Number 99
 
0.2%
Close Punctuation 83
 
0.1%
Open Punctuation 80
 
0.1%
Dash Punctuation 78
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3807
 
6.9%
3715
 
6.8%
2614
 
4.8%
1668
 
3.0%
1393
 
2.5%
1311
 
2.4%
1206
 
2.2%
1190
 
2.2%
1189
 
2.2%
1151
 
2.1%
Other values (554) 35758
65.0%
Uppercase Letter
ValueCountFrequency (%)
A 606
19.2%
N 278
 
8.8%
S 272
 
8.6%
B 212
 
6.7%
T 199
 
6.3%
C 175
 
5.5%
M 146
 
4.6%
I 133
 
4.2%
E 126
 
4.0%
U 126
 
4.0%
Other values (16) 883
28.0%
Lowercase Letter
ValueCountFrequency (%)
e 486
12.6%
r 482
12.5%
a 426
11.0%
t 347
9.0%
i 314
8.1%
n 287
 
7.4%
s 276
 
7.1%
u 182
 
4.7%
o 148
 
3.8%
m 145
 
3.8%
Other values (16) 768
19.9%
Other Punctuation
ValueCountFrequency (%)
, 59
40.7%
& 30
20.7%
. 16
 
11.0%
· 15
 
10.3%
? 10
 
6.9%
/ 6
 
4.1%
' 6
 
4.1%
% 1
 
0.7%
; 1
 
0.7%
# 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 21
21.2%
1 17
17.2%
3 16
16.2%
2 13
13.1%
6 10
10.1%
5 9
9.1%
4 7
 
7.1%
8 3
 
3.0%
9 2
 
2.0%
7 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
> 3
30.0%
< 3
30.0%
+ 2
20.0%
| 1
 
10.0%
1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 82
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 79
98.8%
[ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
2268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54970
84.9%
Latin 7017
 
10.8%
Common 2764
 
4.3%
Han 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3807
 
6.9%
3715
 
6.8%
2614
 
4.8%
1668
 
3.0%
1393
 
2.5%
1311
 
2.4%
1206
 
2.2%
1190
 
2.2%
1189
 
2.2%
1151
 
2.1%
Other values (531) 35726
65.0%
Latin
ValueCountFrequency (%)
A 606
 
8.6%
e 486
 
6.9%
r 482
 
6.9%
a 426
 
6.1%
t 347
 
4.9%
i 314
 
4.5%
n 287
 
4.1%
N 278
 
4.0%
s 276
 
3.9%
S 272
 
3.9%
Other values (42) 3243
46.2%
Common
ValueCountFrequency (%)
2268
82.1%
) 82
 
3.0%
( 79
 
2.9%
- 78
 
2.8%
, 59
 
2.1%
& 30
 
1.1%
0 21
 
0.8%
1 17
 
0.6%
3 16
 
0.6%
. 16
 
0.6%
Other values (22) 98
 
3.5%
Han
ValueCountFrequency (%)
3
 
9.4%
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (13) 13
40.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54970
84.9%
ASCII 9765
 
15.1%
CJK 32
 
< 0.1%
None 16
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3807
 
6.9%
3715
 
6.8%
2614
 
4.8%
1668
 
3.0%
1393
 
2.5%
1311
 
2.4%
1206
 
2.2%
1190
 
2.2%
1189
 
2.2%
1151
 
2.1%
Other values (531) 35726
65.0%
ASCII
ValueCountFrequency (%)
2268
23.2%
A 606
 
6.2%
e 486
 
5.0%
r 482
 
4.9%
a 426
 
4.4%
t 347
 
3.6%
i 314
 
3.2%
n 287
 
2.9%
N 278
 
2.8%
s 276
 
2.8%
Other values (72) 3995
40.9%
None
ValueCountFrequency (%)
· 15
93.8%
1
 
6.2%
CJK
ValueCountFrequency (%)
3
 
9.4%
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (13) 13
40.6%

발행년도
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2006.1636
Minimum1963
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:43:46.751232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1963
5-th percentile1991
Q12003
median2008
Q32011
95-th percentile2016
Maximum2018
Range55
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.618815
Coefficient of variation (CV)0.0037977037
Kurtosis1.9123138
Mean2006.1636
Median Absolute Deviation (MAD)4
Skewness-1.231181
Sum19951297
Variance58.046342
MonotonicityNot monotonic
2023-12-11T08:43:46.855127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2010 709
 
7.1%
2011 707
 
7.1%
2007 687
 
6.9%
2008 667
 
6.7%
2009 630
 
6.3%
2006 550
 
5.5%
2013 514
 
5.1%
2012 509
 
5.1%
2005 486
 
4.9%
2004 439
 
4.4%
Other values (41) 4047
40.5%
ValueCountFrequency (%)
1963 1
 
< 0.1%
1964 1
 
< 0.1%
1965 1
 
< 0.1%
1971 2
 
< 0.1%
1972 1
 
< 0.1%
1973 4
 
< 0.1%
1974 4
 
< 0.1%
1975 7
0.1%
1976 11
0.1%
1977 10
0.1%
ValueCountFrequency (%)
2018 153
 
1.5%
2017 189
 
1.9%
2016 264
 
2.6%
2015 277
 
2.8%
2014 434
4.3%
2013 514
5.1%
2012 509
5.1%
2011 707
7.1%
2010 709
7.1%
2009 630
6.3%

Interactions

2023-12-11T08:43:44.396795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:43:46.940160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료분류발행년도
자료분류1.0000.139
발행년도0.1391.000
2023-12-11T08:43:47.020425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도자료분류
발행년도1.0000.047
자료분류0.0471.000

Missing values

2023-12-11T08:43:44.501100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:44.586020image/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.
2023-12-11T08:43:44.675550image/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

자료분류자료명저자명발행처발행년도
13905예술Young Eyes Seeing김소영 외4YES2013
16536예술우리 삶이 춤이 된다면 : 일상을 깨우는 바로 그 순간의 기록들조던 매터시공아트2013
10427예술서울아트가이드 Seoul Art Guide 2011. 9서울아트가이드김달진미술연구소2011
10868예술미술세계 2011.11미술세계미술세계2011
1982예술화가 헤세헤르만 헤세이레2005
15853예술2010 롯데갤러리 부산본점 기획-박미영. 바람이 머무는 곳...박미영롯데갤러리2010
3220예술(부산시립미술관 2001년 사회교육강좌 자료집) 미술학 연구부산시립미술관부산시립미술관2001
12989예술아트인컬처 2006. 11아트인컬처미술사랑2006
7548예술민족예술:2003.5월호한국민족예술인총연합<NA>2003
2527사회과학북핵 , 위기의 한 반도 II한국조사기자협회한국조사기자협회2007
자료분류자료명저자명발행처발행년도
4847종교전통사찰총서7 - 광주·전남의 전통사찰Ⅱ사찰문화연구원사찰문화연구원1996
13958예술제20회 경남서단전 第20回 慶南書壇展경남서단경남서단2013
11509예술전혁림특별전 - 한국 현대미술의 거장 -전혁림경남도립미술관2006
13395예술아티클 article 2012. 6아티클경향아트2012
4580예술지산知山 김영진金永璡경남도립미술관경남도립미술관2009
6380예술신소장작품 2010 - 서울시립미술관서울시립미술관서울시립미술관2011
18569예술광주시립미술관 연보 2015광주시립미술관광주시립미술관2016
1540예술점.선.면 <회화적인 요소의 분석을 위하여>W.칸단스키열화당2004
1321예술색채와 뷰티코디네이션강근영외 공저고문사2001
666예술(김미진 선생님이 들려 주는 미술동화)동그라미를 사랑한 피카소김미진파랑생 어린이2003

Duplicate rows

Most frequently occurring

자료분류자료명저자명발행처발행년도# duplicates
595예술유럽의 거장 6인전경남도립미술관경남도립미술관20059
600예술유택렬 - 샤머니즘적 조형언어 -유택렬경남도립미술관20058
219예술리얼리티, 재현과 자율사이경남도립미술관경남도립미술관20137
610예술이성자의 귀천(歸泉)경남도립미술관경남도립미술관20087
646예술젊은시각 - 현대미술의 단면展경남도립미술관경남도립미술관20097
726예술프락 브레타뉴 소장품전 - 유희의 정신경남도립미술관경남도립미술관20107
25예술(생활과 예술)민화 아름다운 꽃展:2004.9.16~12.30경남도립미술관경남도립미술관20046
60예술20세기 경남미술Ⅳ- 문인화경남도립미술관경남도립미술관20106
134예술경남도립미술관 소식 <2004 창간호>경남도립미술관경남도립미술관20046
207예술동질성의 모색 展경남도립미술관경남도립미술관20066