Overview

Dataset statistics

Number of variables6
Number of observations1253
Missing cells51
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.1 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 (3.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:43:55.324727
Analysis finished2023-12-10 23:43:56.376400
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627
Minimum1
Maximum1253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-11T08:43:56.442453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.6
Q1314
median627
Q3940
95-th percentile1190.4
Maximum1253
Range1252
Interquartile range (IQR)626

Descriptive statistics

Standard deviation361.85425
Coefficient of variation (CV)0.57712002
Kurtosis-1.2
Mean627
Median Absolute Deviation (MAD)313
Skewness0
Sum785631
Variance130938.5
MonotonicityNot monotonic
2023-12-11T08:43:56.567526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
834 1
 
0.1%
841 1
 
0.1%
840 1
 
0.1%
839 1
 
0.1%
838 1
 
0.1%
837 1
 
0.1%
836 1
 
0.1%
835 1
 
0.1%
833 1
 
0.1%
Other values (1243) 1243
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 (%)
1253 1
0.1%
1252 1
0.1%
1251 1
0.1%
1250 1
0.1%
1249 1
0.1%
1248 1
0.1%
1247 1
0.1%
1246 1
0.1%
1245 1
0.1%
1244 1
0.1%

작가
Text

Distinct544
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-11T08:43:56.834214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.8339984
Min length2

Characters and Unicode

Total characters4804
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

Unique387 ?
Unique (%)30.9%

Sample

1st row박생광
2nd row박생광
3rd row문신
4th row박생광
5th row문신
ValueCountFrequency (%)
강국진 203
 
14.3%
최운 49
 
3.5%
채준 43
 
3.0%
박생광 29
 
2.0%
전혁림 27
 
1.9%
김아타 17
 
1.2%
jeffry 13
 
0.9%
surianto 13
 
0.9%
이우환 12
 
0.8%
이두옥 9
 
0.6%
Other values (619) 1005
70.8%
2023-12-11T08:43:57.218355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 232
 
4.8%
강 223
 
4.6%
국 208
 
4.3%
168
 
3.5%
이 148
 
3.1%
a 143
 
3.0%
김 127
 
2.6%
i 79
 
1.6%
박 78
 
1.6%
n 76
 
1.6%
Other values (329) 3322
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3639
75.7%
Lowercase Letter 830
 
17.3%
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
 
6.4%
강 223
 
6.1%
국 208
 
5.7%
이 148
 
4.1%
김 127
 
3.5%
박 78
 
2.1%
최 73
 
2.0%
정 65
 
1.8%
준 59
 
1.6%
영 56
 
1.5%
Other values (288) 2370
65.1%
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 3639
75.7%
Latin 991
 
20.6%
Common 174
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 232
 
6.4%
강 223
 
6.1%
국 208
 
5.7%
이 148
 
4.1%
김 127
 
3.5%
박 78
 
2.1%
최 73
 
2.0%
정 65
 
1.8%
준 59
 
1.6%
영 56
 
1.5%
Other values (288) 2370
65.1%
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 3639
75.7%
ASCII 1165
 
24.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 232
 
6.4%
강 223
 
6.1%
국 208
 
5.7%
이 148
 
4.1%
김 127
 
3.5%
박 78
 
2.1%
최 73
 
2.0%
정 65
 
1.8%
준 59
 
1.6%
영 56
 
1.5%
Other values (288) 2370
65.1%
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 (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
회화
441 
판화
307 
사진
115 
한국화
108 
서예
101 
Other values (8)
181 

Length

Max length6
Median length2
Mean length2.1308859
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
회화 441
35.2%
판화 307
24.5%
사진 115
 
9.2%
한국화 108
 
8.6%
서예 101
 
8.1%
조각 84
 
6.7%
드로잉 41
 
3.3%
공예 36
 
2.9%
문인화 9
 
0.7%
영상 8
 
0.6%
Other values (3) 3
 
0.2%

Length

2023-12-11T08:43:57.358606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회화 441
35.2%
판화 307
24.5%
사진 115
 
9.2%
한국화 108
 
8.6%
서예 101
 
8.1%
조각 84
 
6.7%
드로잉 41
 
3.3%
공예 36
 
2.9%
문인화 9
 
0.7%
영상 8
 
0.6%
Other values (3) 3
 
0.2%

명제
Text

MISSING 

Distinct1027
Distinct (%)85.2%
Missing48
Missing (%)3.8%
Memory size9.9 KiB
2023-12-11T08:43:57.675781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length5.9029046
Min length1

Characters and Unicode

Total characters7113
Distinct characters709
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

Unique966 ?
Unique (%)80.2%

Sample

1st row십장생(학)
2nd row포도와 다람쥐
3rd row뒷산과 하늘(언덕-구름B)
4th row단청과 대들보
5th row두 여인
ValueCountFrequency (%)
무제 55
 
3.2%
풍경 22
 
1.3%
no 15
 
0.9%
project 15
 
0.9%
museum 15
 
0.9%
산수 11
 
0.6%
여인 11
 
0.6%
게 10
 
0.6%
얼굴 9
 
0.5%
길 7
 
0.4%
Other values (1289) 1544
90.1%
2023-12-11T08:43:58.194218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
7.2%
- 219
 
3.1%
e 172
 
2.4%
1 151
 
2.1%
2 150
 
2.1%
o 131
 
1.8%
n 128
 
1.8%
a 126
 
1.8%
) 115
 
1.6%
( 115
 
1.6%
Other values (699) 5297
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3580
50.3%
Lowercase Letter 1394
 
19.6%
Decimal Number 810
 
11.4%
Space Separator 509
 
7.2%
Uppercase Letter 298
 
4.2%
Dash Punctuation 219
 
3.1%
Close Punctuation 115
 
1.6%
Open Punctuation 115
 
1.6%
Other Punctuation 52
 
0.7%
Math Symbol 11
 
0.2%
Other values (2) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 97
 
2.7%
의 81
 
2.3%
제 72
 
2.0%
리 71
 
2.0%
도 61
 
1.7%
이 53
 
1.5%
산 53
 
1.5%
경 47
 
1.3%
가 45
 
1.3%
자 45
 
1.3%
Other values (623) 2955
82.5%
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%
B 21
 
7.0%
I 21
 
7.0%
W 18
 
6.0%
S 18
 
6.0%
J 16
 
5.4%
T 14
 
4.7%
R 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 (%)
. 31
59.6%
, 11
 
21.2%
# 3
 
5.8%
! 2
 
3.8%
? 2
 
3.8%
· 1
 
1.9%
/ 1
 
1.9%
: 1
 
1.9%
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 (%)
509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3313
46.6%
Common 1833
25.8%
Latin 1700
23.9%
Han 267
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 97
 
2.9%
의 81
 
2.4%
제 72
 
2.2%
리 71
 
2.1%
도 61
 
1.8%
이 53
 
1.6%
산 53
 
1.6%
경 47
 
1.4%
가 45
 
1.4%
자 45
 
1.4%
Other values (436) 2688
81.1%
Han
ValueCountFrequency (%)
心 7
 
2.6%
詩 5
 
1.9%
花 5
 
1.9%
天 4
 
1.5%
生 4
 
1.5%
圖 4
 
1.5%
海 4
 
1.5%
和 4
 
1.5%
歌 4
 
1.5%
文 4
 
1.5%
Other values (177) 222
83.1%
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 (%)
509
27.8%
- 219
11.9%
1 151
 
8.2%
2 150
 
8.2%
) 115
 
6.3%
( 115
 
6.3%
0 107
 
5.8%
8 77
 
4.2%
3 70
 
3.8%
9 57
 
3.1%
Other values (15) 263
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3524
49.5%
Hangul 3313
46.6%
CJK 260
 
3.7%
Number Forms 8
 
0.1%
CJK Compat Ideographs 7
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509
 
14.4%
- 219
 
6.2%
e 172
 
4.9%
1 151
 
4.3%
2 150
 
4.3%
o 131
 
3.7%
n 128
 
3.6%
a 126
 
3.6%
) 115
 
3.3%
( 115
 
3.3%
Other values (62) 1708
48.5%
Hangul
ValueCountFrequency (%)
무 97
 
2.9%
의 81
 
2.4%
제 72
 
2.2%
리 71
 
2.1%
도 61
 
1.8%
이 53
 
1.6%
산 53
 
1.6%
경 47
 
1.4%
가 45
 
1.4%
자 45
 
1.4%
Other values (436) 2688
81.1%
CJK
ValueCountFrequency (%)
心 7
 
2.7%
詩 5
 
1.9%
花 5
 
1.9%
天 4
 
1.5%
生 4
 
1.5%
圖 4
 
1.5%
海 4
 
1.5%
和 4
 
1.5%
歌 4
 
1.5%
文 4
 
1.5%
Other values (172) 215
82.7%
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%
亂 1
14.3%
李 1
14.3%
蘭 1
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

제작년도
Text

Distinct73
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-11T08:43:58.440405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.8308061
Min length1

Characters and Unicode

Total characters4800
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.0%

Sample

1st row1980
2nd row1978
3rd row1948
4th row1977
5th row1974
ValueCountFrequency (%)
2011 81
 
6.5%
74
 
5.9%
2007 58
 
4.6%
1980 54
 
4.3%
1987 53
 
4.2%
2000 43
 
3.4%
1976 41
 
3.3%
1997 37
 
2.9%
1973 33
 
2.6%
2002 31
 
2.5%
Other values (63) 750
59.8%
2023-12-11T08:43:58.820951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1085
22.6%
1 1051
21.9%
0 860
17.9%
2 474
9.9%
7 409
 
8.5%
8 379
 
7.9%
6 155
 
3.2%
5 133
 
2.8%
3 100
 
2.1%
- 74
 
1.5%
Other values (6) 80
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4720
98.3%
Dash Punctuation 74
 
1.5%
Other Letter 3
 
0.1%
Space Separator 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1085
23.0%
1 1051
22.3%
0 860
18.2%
2 474
10.0%
7 409
 
8.7%
8 379
 
8.0%
6 155
 
3.3%
5 133
 
2.8%
3 100
 
2.1%
4 74
 
1.6%
Other Letter
ValueCountFrequency (%)
중 1
33.3%
반 1
33.3%
말 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4797
99.9%
Hangul 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1085
22.6%
1 1051
21.9%
0 860
17.9%
2 474
9.9%
7 409
 
8.5%
8 379
 
7.9%
6 155
 
3.2%
5 133
 
2.8%
3 100
 
2.1%
- 74
 
1.5%
Other values (3) 77
 
1.6%
Hangul
ValueCountFrequency (%)
중 1
33.3%
반 1
33.3%
말 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4797
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1085
22.6%
1 1051
21.9%
0 860
17.9%
2 474
9.9%
7 409
 
8.5%
8 379
 
7.9%
6 155
 
3.2%
5 133
 
2.8%
3 100
 
2.1%
- 74
 
1.5%
Other values (3) 77
 
1.6%
Hangul
ValueCountFrequency (%)
중 1
33.3%
반 1
33.3%
말 1
33.3%

규격
Text

Distinct1033
Distinct (%)82.6%
Missing3
Missing (%)0.2%
Memory size9.9 KiB
2023-12-11T08:43:59.087574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length7.5
Min length3

Characters and Unicode

Total characters9375
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

Unique944 ?
Unique (%)75.5%

Sample

1st row134.5x136
2nd row63x96
3rd row68x51
4th row54x80
5th row액자포함 : 72×64.5 / 작품 : 51.8×44.7
ValueCountFrequency (%)
135x35 28
 
2.1%
49.4x74.3 26
 
2.0%
10폭 10
 
0.8%
130x162 9
 
0.7%
53x41 8
 
0.6%
8폭 8
 
0.6%
27x35 8
 
0.6%
162x130 8
 
0.6%
162.2x130.3 7
 
0.5%
130×162 7
 
0.5%
Other values (1039) 1195
90.9%
2023-12-11T08:43:59.496627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1096
11.7%
5 1048
11.2%
x 993
10.6%
3 923
9.8%
. 812
8.7%
2 764
8.1%
0 685
7.3%
4 685
7.3%
6 499
 
5.3%
9 433
 
4.6%
Other values (38) 1437
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6940
74.0%
Lowercase Letter 1010
 
10.8%
Other Punctuation 832
 
8.9%
Uppercase Letter 255
 
2.7%
Math Symbol 138
 
1.5%
Other Letter 94
 
1.0%
Space Separator 64
 
0.7%
Close Punctuation 21
 
0.2%
Open Punctuation 21
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폭 24
25.5%
자 16
17.0%
액 16
17.0%
치 5
 
5.3%
설 5
 
5.3%
구 3
 
3.2%
높 3
 
3.2%
방 3
 
3.2%
사 3
 
3.2%
표 2
 
2.1%
Other values (10) 14
14.9%
Decimal Number
ValueCountFrequency (%)
1 1096
15.8%
5 1048
15.1%
3 923
13.3%
2 764
11.0%
0 685
9.9%
4 685
9.9%
6 499
7.2%
9 433
 
6.2%
7 432
 
6.2%
8 375
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
x 993
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 (%)
. 812
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 (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8016
85.5%
Latin 1265
 
13.5%
Hangul 94
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폭 24
25.5%
자 16
17.0%
액 16
17.0%
치 5
 
5.3%
설 5
 
5.3%
구 3
 
3.2%
높 3
 
3.2%
방 3
 
3.2%
사 3
 
3.2%
표 2
 
2.1%
Other values (10) 14
14.9%
Common
ValueCountFrequency (%)
1 1096
13.7%
5 1048
13.1%
3 923
11.5%
. 812
10.1%
2 764
9.5%
0 685
8.5%
4 685
8.5%
6 499
6.2%
9 433
 
5.4%
7 432
 
5.4%
Other values (8) 639
8.0%
Latin
ValueCountFrequency (%)
x 993
78.5%
X 255
 
20.2%
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 9143
97.5%
None 138
 
1.5%
Hangul 94
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1096
12.0%
5 1048
11.5%
x 993
10.9%
3 923
10.1%
. 812
8.9%
2 764
8.4%
0 685
7.5%
4 685
7.5%
6 499
5.5%
9 433
 
4.7%
Other values (17) 1205
13.2%
None
ValueCountFrequency (%)
× 138
100.0%
Hangul
ValueCountFrequency (%)
폭 24
25.5%
자 16
17.0%
액 16
17.0%
치 5
 
5.3%
설 5
 
5.3%
구 3
 
3.2%
높 3
 
3.2%
방 3
 
3.2%
사 3
 
3.2%
표 2
 
2.1%
Other values (10) 14
14.9%

Interactions

2023-12-11T08:43:55.983825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:43:59.607305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부문제작년도
연번1.0000.6870.820
부문0.6871.0000.762
제작년도0.8200.7621.000
2023-12-11T08:43:59.718626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부문
연번1.0000.369
부문0.3691.000

Missing values

2023-12-11T08:43:56.155593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:56.246936image/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.
2023-12-11T08:43:56.332263image/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
12431244하인두회화만다라198652.5x72.5
12441245석점덕회화자연의 이미지1993144x306
12451246전혁림조각무제198013.2x11.3x64.2
12461247전혁림회화한국의 환상1983125.1x145.5
12471248남정현회화무제2007115.5x90
12481249오수환회화곡신1991189x94.5
12491250황인학드로잉무제1978117.5x62
12501251황인학드로잉무제1978113x61
12511252황인학드로잉무제197861.5x118
12521253황인학드로잉무제197859.7x118