Overview

Dataset statistics

Number of variables6
Number of observations1237
Missing cells124
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.3 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

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

Alerts

명제 has 48 (3.9%) missing valuesMissing
제작년도 has 73 (5.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:43:30.105657
Analysis finished2023-12-10 23:43:30.977350
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619
Minimum1
Maximum1237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2023-12-11T08:43:31.039481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.8
Q1310
median619
Q3928
95-th percentile1175.2
Maximum1237
Range1236
Interquartile range (IQR)618

Descriptive statistics

Standard deviation357.23545
Coefficient of variation (CV)0.57711704
Kurtosis-1.2
Mean619
Median Absolute Deviation (MAD)309
Skewness0
Sum765703
Variance127617.17
MonotonicityStrictly increasing
2023-12-11T08:43:31.160787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
824 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
829 1
 
0.1%
828 1
 
0.1%
827 1
 
0.1%
826 1
 
0.1%
825 1
 
0.1%
823 1
 
0.1%
Other values (1227) 1227
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1237 1
0.1%
1236 1
0.1%
1235 1
0.1%
1234 1
0.1%
1233 1
0.1%
1232 1
0.1%
1231 1
0.1%
1230 1
0.1%
1229 1
0.1%
1228 1
0.1%

작가
Text

Distinct539
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2023-12-11T08:43:31.470700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.8447858
Min length2

Characters and Unicode

Total characters4756
Distinct characters339
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

Unique382 ?
Unique (%)30.9%

Sample

1st row박생광
2nd row박생광
3rd row문신
4th row박생광
5th row문신
ValueCountFrequency (%)
강국진 203
 
14.5%
최운 49
 
3.5%
채준 43
 
3.1%
박생광 29
 
2.1%
전혁림 25
 
1.8%
김아타 17
 
1.2%
jeffry 13
 
0.9%
surianto 13
 
0.9%
이우환 12
 
0.9%
이두옥 9
 
0.6%
Other values (614) 991
70.6%
2023-12-11T08:43:31.912527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 232
 
4.9%
강 223
 
4.7%
국 208
 
4.4%
168
 
3.5%
이 147
 
3.1%
a 143
 
3.0%
김 126
 
2.6%
i 79
 
1.7%
박 78
 
1.6%
n 76
 
1.6%
Other values (329) 3276
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3591
75.5%
Lowercase Letter 830
 
17.5%
Space Separator 168
 
3.5%
Uppercase Letter 161
 
3.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 232
 
6.5%
강 223
 
6.2%
국 208
 
5.8%
이 147
 
4.1%
김 126
 
3.5%
박 78
 
2.2%
최 73
 
2.0%
정 62
 
1.7%
준 59
 
1.6%
영 57
 
1.6%
Other values (288) 2326
64.8%
Lowercase Letter
ValueCountFrequency (%)
a 143
17.2%
i 79
9.5%
n 76
 
9.2%
r 65
 
7.8%
f 55
 
6.6%
o 54
 
6.5%
t 46
 
5.5%
u 44
 
5.3%
l 39
 
4.7%
y 34
 
4.1%
Other values (13) 195
23.5%
Uppercase Letter
ValueCountFrequency (%)
S 50
31.1%
R 21
13.0%
A 16
 
9.9%
J 15
 
9.3%
W 12
 
7.5%
E 11
 
6.8%
I 9
 
5.6%
K 8
 
5.0%
N 7
 
4.3%
P 6
 
3.7%
Other values (4) 6
 
3.7%
Space Separator
ValueCountFrequency (%)
168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3591
75.5%
Latin 991
 
20.8%
Common 174
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 232
 
6.5%
강 223
 
6.2%
국 208
 
5.8%
이 147
 
4.1%
김 126
 
3.5%
박 78
 
2.2%
최 73
 
2.0%
정 62
 
1.7%
준 59
 
1.6%
영 57
 
1.6%
Other values (288) 2326
64.8%
Latin
ValueCountFrequency (%)
a 143
14.4%
i 79
 
8.0%
n 76
 
7.7%
r 65
 
6.6%
f 55
 
5.5%
o 54
 
5.4%
S 50
 
5.0%
t 46
 
4.6%
u 44
 
4.4%
l 39
 
3.9%
Other values (27) 340
34.3%
Common
ValueCountFrequency (%)
168
96.6%
( 2
 
1.1%
) 2
 
1.1%
, 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3591
75.5%
ASCII 1165
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 232
 
6.5%
강 223
 
6.2%
국 208
 
5.8%
이 147
 
4.1%
김 126
 
3.5%
박 78
 
2.2%
최 73
 
2.0%
정 62
 
1.7%
준 59
 
1.6%
영 57
 
1.6%
Other values (288) 2326
64.8%
ASCII
ValueCountFrequency (%)
168
14.4%
a 143
 
12.3%
i 79
 
6.8%
n 76
 
6.5%
r 65
 
5.6%
f 55
 
4.7%
o 54
 
4.6%
S 50
 
4.3%
t 46
 
3.9%
u 44
 
3.8%
Other values (31) 385
33.0%

부문
Categorical

Distinct13
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
회화
433 
판화
307 
사진
115 
한국화
108 
서예
101 
Other values (8)
173 

Length

Max length6
Median length2
Mean length2.12692
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
회화 433
35.0%
판화 307
24.8%
사진 115
 
9.3%
한국화 108
 
8.7%
서예 101
 
8.2%
조각 83
 
6.7%
공예 36
 
2.9%
드로잉 34
 
2.7%
문인화 9
 
0.7%
영상 8
 
0.6%
Other values (3) 3
 
0.2%

Length

2023-12-11T08:43:32.057460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회화 433
35.0%
판화 307
24.8%
사진 115
 
9.3%
한국화 108
 
8.7%
서예 101
 
8.2%
조각 83
 
6.7%
공예 36
 
2.9%
드로잉 34
 
2.7%
문인화 9
 
0.7%
영상 8
 
0.6%
Other values (3) 3
 
0.2%

명제
Text

MISSING 

Distinct1021
Distinct (%)85.9%
Missing48
Missing (%)3.9%
Memory size9.8 KiB
2023-12-11T08:43:32.315454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length5.9234651
Min length1

Characters and Unicode

Total characters7043
Distinct characters706
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique962 ?
Unique (%)80.9%

Sample

1st row십장생(학)
2nd row포도와 다람쥐
3rd row뒷산과 하늘(언덕-구름B)
4th row단청과 대들보
5th row두 여인
ValueCountFrequency (%)
무제 49
 
2.9%
풍경 21
 
1.2%
project 15
 
0.9%
no 15
 
0.9%
museum 15
 
0.9%
여인 11
 
0.7%
산수 11
 
0.7%
게 10
 
0.6%
얼굴 8
 
0.5%
누드 7
 
0.4%
Other values (1281) 1528
90.4%
2023-12-11T08:43:32.710125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
 
7.1%
- 219
 
3.1%
e 172
 
2.4%
1 151
 
2.1%
2 150
 
2.1%
o 131
 
1.9%
n 128
 
1.8%
a 126
 
1.8%
) 114
 
1.6%
( 114
 
1.6%
Other values (696) 5237
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3528
50.1%
Lowercase Letter 1394
 
19.8%
Decimal Number 810
 
11.5%
Space Separator 501
 
7.1%
Uppercase Letter 298
 
4.2%
Dash Punctuation 219
 
3.1%
Close Punctuation 114
 
1.6%
Open Punctuation 114
 
1.6%
Other Punctuation 44
 
0.6%
Math Symbol 11
 
0.2%
Other values (2) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 91
 
2.6%
의 79
 
2.2%
리 71
 
2.0%
제 66
 
1.9%
도 61
 
1.7%
산 52
 
1.5%
이 52
 
1.5%
경 46
 
1.3%
가 44
 
1.2%
풍 44
 
1.2%
Other values (621) 2922
82.8%
Lowercase Letter
ValueCountFrequency (%)
e 172
12.3%
o 131
 
9.4%
n 128
 
9.2%
a 126
 
9.0%
t 92
 
6.6%
r 91
 
6.5%
i 88
 
6.3%
s 80
 
5.7%
u 69
 
4.9%
l 59
 
4.2%
Other values (14) 358
25.7%
Uppercase Letter
ValueCountFrequency (%)
M 33
 
11.1%
F 26
 
8.7%
I 21
 
7.0%
B 21
 
7.0%
S 18
 
6.0%
W 18
 
6.0%
J 16
 
5.4%
R 14
 
4.7%
T 14
 
4.7%
E 13
 
4.4%
Other values (14) 104
34.9%
Decimal Number
ValueCountFrequency (%)
1 151
18.6%
2 150
18.5%
0 107
13.2%
8 77
9.5%
3 70
8.6%
9 57
 
7.0%
5 56
 
6.9%
4 53
 
6.5%
7 46
 
5.7%
6 43
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 25
56.8%
, 11
25.0%
# 3
 
6.8%
! 2
 
4.5%
· 1
 
2.3%
/ 1
 
2.3%
: 1
 
2.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 2
25.0%
Ⅲ 2
25.0%
Math Symbol
ValueCountFrequency (%)
+ 10
90.9%
= 1
 
9.1%
Space Separator
ValueCountFrequency (%)
501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3265
46.4%
Common 1815
25.8%
Latin 1700
24.1%
Han 263
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 91
 
2.8%
의 79
 
2.4%
리 71
 
2.2%
제 66
 
2.0%
도 61
 
1.9%
산 52
 
1.6%
이 52
 
1.6%
경 46
 
1.4%
가 44
 
1.3%
풍 44
 
1.3%
Other values (437) 2659
81.4%
Han
ValueCountFrequency (%)
心 7
 
2.7%
詩 5
 
1.9%
花 5
 
1.9%
海 4
 
1.5%
和 4
 
1.5%
天 4
 
1.5%
圖 4
 
1.5%
歌 4
 
1.5%
文 4
 
1.5%
意 3
 
1.1%
Other values (174) 219
83.3%
Latin
ValueCountFrequency (%)
e 172
 
10.1%
o 131
 
7.7%
n 128
 
7.5%
a 126
 
7.4%
t 92
 
5.4%
r 91
 
5.4%
i 88
 
5.2%
s 80
 
4.7%
u 69
 
4.1%
l 59
 
3.5%
Other values (41) 664
39.1%
Common
ValueCountFrequency (%)
501
27.6%
- 219
12.1%
1 151
 
8.3%
2 150
 
8.3%
) 114
 
6.3%
( 114
 
6.3%
0 107
 
5.9%
8 77
 
4.2%
3 70
 
3.9%
9 57
 
3.1%
Other values (14) 255
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3506
49.8%
Hangul 3265
46.4%
CJK 256
 
3.6%
Number Forms 8
 
0.1%
CJK Compat Ideographs 7
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
501
 
14.3%
- 219
 
6.2%
e 172
 
4.9%
1 151
 
4.3%
2 150
 
4.3%
o 131
 
3.7%
n 128
 
3.7%
a 126
 
3.6%
) 114
 
3.3%
( 114
 
3.3%
Other values (61) 1700
48.5%
Hangul
ValueCountFrequency (%)
무 91
 
2.8%
의 79
 
2.4%
리 71
 
2.2%
제 66
 
2.0%
도 61
 
1.9%
산 52
 
1.6%
이 52
 
1.6%
경 46
 
1.4%
가 44
 
1.3%
풍 44
 
1.3%
Other values (437) 2659
81.4%
CJK
ValueCountFrequency (%)
心 7
 
2.7%
詩 5
 
2.0%
花 5
 
2.0%
海 4
 
1.6%
和 4
 
1.6%
天 4
 
1.6%
圖 4
 
1.6%
歌 4
 
1.6%
文 4
 
1.6%
意 3
 
1.2%
Other values (169) 212
82.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 2
25.0%
Ⅲ 2
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 2
28.6%
若 2
28.6%
李 1
14.3%
亂 1
14.3%
蘭 1
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

제작년도
Text

MISSING 

Distinct70
Distinct (%)6.0%
Missing73
Missing (%)5.9%
Memory size9.8 KiB
2023-12-11T08:43:32.905225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.0068729
Min length4

Characters and Unicode

Total characters4664
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.9%

Sample

1st row1980
2nd row1978
3rd row1948
4th row1977
5th row1974
ValueCountFrequency (%)
2011 81
 
7.0%
2007 57
 
4.9%
1987 53
 
4.6%
1980 53
 
4.6%
2000 43
 
3.7%
1976 41
 
3.5%
1997 37
 
3.2%
1973 33
 
2.8%
2002 31
 
2.7%
2003 28
 
2.4%
Other values (60) 707
60.7%
2023-12-11T08:43:33.474215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1067
22.9%
1 1034
22.2%
0 854
18.3%
2 471
10.1%
7 403
 
8.6%
8 371
 
8.0%
6 153
 
3.3%
5 132
 
2.8%
3 98
 
2.1%
4 73
 
1.6%
Other values (2) 8
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4656
99.8%
Other Letter 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1067
22.9%
1 1034
22.2%
0 854
18.3%
2 471
10.1%
7 403
 
8.7%
8 371
 
8.0%
6 153
 
3.3%
5 132
 
2.8%
3 98
 
2.1%
4 73
 
1.6%
Other Letter
ValueCountFrequency (%)
추 4
50.0%
정 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4656
99.8%
Hangul 8
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1067
22.9%
1 1034
22.2%
0 854
18.3%
2 471
10.1%
7 403
 
8.7%
8 371
 
8.0%
6 153
 
3.3%
5 132
 
2.8%
3 98
 
2.1%
4 73
 
1.6%
Hangul
ValueCountFrequency (%)
추 4
50.0%
정 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4656
99.8%
Hangul 8
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1067
22.9%
1 1034
22.2%
0 854
18.3%
2 471
10.1%
7 403
 
8.7%
8 371
 
8.0%
6 153
 
3.3%
5 132
 
2.8%
3 98
 
2.1%
4 73
 
1.6%
Hangul
ValueCountFrequency (%)
추 4
50.0%
정 4
50.0%

규격
Text

Distinct1018
Distinct (%)82.5%
Missing3
Missing (%)0.2%
Memory size9.8 KiB
2023-12-11T08:43:33.750098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length7.487034
Min length3

Characters and Unicode

Total characters9239
Distinct characters48
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

Unique931 ?
Unique (%)75.4%

Sample

1st row134.5x136
2nd row63x96
3rd row68x51
4th row54x80
5th row액자포함 : 72×64.5 / 작품 : 51.8×44.7
ValueCountFrequency (%)
135x35 28
 
2.2%
49.4x74.3 26
 
2.0%
10폭 10
 
0.8%
130x162 9
 
0.7%
27x35 8
 
0.6%
53x41 8
 
0.6%
162x130 8
 
0.6%
8폭 7
 
0.5%
130×162 7
 
0.5%
162.2x130.3 7
 
0.5%
Other values (1025) 1179
90.9%
2023-12-11T08:43:34.156564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1072
11.6%
5 1030
11.1%
x 975
10.6%
3 917
9.9%
. 797
8.6%
2 751
8.1%
0 680
7.4%
4 674
7.3%
6 492
 
5.3%
9 429
 
4.6%
Other values (38) 1422
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6842
74.1%
Lowercase Letter 992
 
10.7%
Other Punctuation 817
 
8.8%
Uppercase Letter 255
 
2.8%
Math Symbol 138
 
1.5%
Other Letter 92
 
1.0%
Space Separator 63
 
0.7%
Close Punctuation 20
 
0.2%
Open Punctuation 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폭 23
25.0%
자 16
17.4%
액 16
17.4%
치 5
 
5.4%
설 5
 
5.4%
구 3
 
3.3%
방 3
 
3.3%
사 3
 
3.3%
가 2
 
2.2%
변 2
 
2.2%
Other values (10) 14
15.2%
Decimal Number
ValueCountFrequency (%)
1 1072
15.7%
5 1030
15.1%
3 917
13.4%
2 751
11.0%
0 680
9.9%
4 674
9.9%
6 492
7.2%
9 429
6.3%
7 428
 
6.3%
8 369
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
x 975
98.3%
m 5
 
0.5%
c 4
 
0.4%
e 2
 
0.2%
s 2
 
0.2%
p 1
 
0.1%
h 1
 
0.1%
t 1
 
0.1%
a 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 797
97.6%
/ 8
 
1.0%
, 6
 
0.7%
: 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
X 255
100.0%
Math Symbol
ValueCountFrequency (%)
× 138
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7900
85.5%
Latin 1247
 
13.5%
Hangul 92
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폭 23
25.0%
자 16
17.4%
액 16
17.4%
치 5
 
5.4%
설 5
 
5.4%
구 3
 
3.3%
방 3
 
3.3%
사 3
 
3.3%
가 2
 
2.2%
변 2
 
2.2%
Other values (10) 14
15.2%
Common
ValueCountFrequency (%)
1 1072
13.6%
5 1030
13.0%
3 917
11.6%
. 797
10.1%
2 751
9.5%
0 680
8.6%
4 674
8.5%
6 492
6.2%
9 429
5.4%
7 428
 
5.4%
Other values (8) 630
8.0%
Latin
ValueCountFrequency (%)
x 975
78.2%
X 255
 
20.4%
m 5
 
0.4%
c 4
 
0.3%
e 2
 
0.2%
s 2
 
0.2%
p 1
 
0.1%
h 1
 
0.1%
t 1
 
0.1%
a 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9009
97.5%
None 138
 
1.5%
Hangul 92
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1072
11.9%
5 1030
11.4%
x 975
10.8%
3 917
10.2%
. 797
8.8%
2 751
8.3%
0 680
7.5%
4 674
7.5%
6 492
5.5%
9 429
 
4.8%
Other values (17) 1192
13.2%
None
ValueCountFrequency (%)
× 138
100.0%
Hangul
ValueCountFrequency (%)
폭 23
25.0%
자 16
17.4%
액 16
17.4%
치 5
 
5.4%
설 5
 
5.4%
구 3
 
3.3%
방 3
 
3.3%
사 3
 
3.3%
가 2
 
2.2%
변 2
 
2.2%
Other values (10) 14
15.2%

Interactions

2023-12-11T08:43:30.661502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:43:34.247181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부문제작년도
연번1.0000.6850.818
부문0.6851.0000.755
제작년도0.8180.7551.000
2023-12-11T08:43:34.361392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부문
연번1.0000.367
부문0.3671.000

Missing values

2023-12-11T08:43:30.767912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:30.855124image/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.
2023-12-11T08:43:30.933541image/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

연번작가부문명제제작년도규격
01박생광한국화십장생(학)1980134.5x136
12박생광한국화포도와 다람쥐197863x96
23문신회화뒷산과 하늘(언덕-구름B)194868x51
34박생광한국화단청과 대들보197754x80
45문신회화두 여인1974액자포함 : 72×64.5 / 작품 : 51.8×44.7
56강신석회화가오리197244x37
67초삼랑회화경상남도 조감도193053x238
78송혜수회화통영 앞 바다196541x53
89김영교회화도봉산198443x52
910이형섭한국화외금강산도198059x40
연번작가부문명제제작년도규격
12271228김종원서예문수사 장경비2014210x150
12281229김종수회화고(古)1999165x106
12291230박생광한국화목어와 나비197056x41
12301231하인두회화구성1988116.8x72.7
12311232이두옥회화불(佛)-Ⅱ1982145x122
12321233이두옥회화불국사 소견-Ⅰ1978145x123
12331234이두옥회화불국사 소견-Ⅱ1979112.5x145
12341235이두옥회화불국사 소견-Ⅲ1979112x145
12351236이두옥회화디지털 이미지2003117x91cm x3개
12361237정상돌회화마산항199027.3x45.5