Overview

Dataset statistics

Number of variables8
Number of observations1439
Missing cells76
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.5 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description경상남도 도립미술관 도서자료 및 소장품 목록 자료입니다.도서자료와 소장품의 작가, 명제, 제작년도 등의 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/3076376/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제작년도 has 73 (5.1%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:49:25.145167
Analysis finished2024-04-21 02:49:26.331919
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1439
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720
Minimum1
Maximum1439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-04-21T11:49:26.391291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.9
Q1360.5
median720
Q31079.5
95-th percentile1367.1
Maximum1439
Range1438
Interquartile range (IQR)719

Descriptive statistics

Standard deviation415.54783
Coefficient of variation (CV)0.57714977
Kurtosis-1.2
Mean720
Median Absolute Deviation (MAD)360
Skewness0
Sum1036080
Variance172680
MonotonicityStrictly increasing
2024-04-21T11:49:26.508649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
968 1
 
0.1%
966 1
 
0.1%
965 1
 
0.1%
964 1
 
0.1%
963 1
 
0.1%
962 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
Other values (1429) 1429
99.3%
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 (%)
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%
1436 1
0.1%
1435 1
0.1%
1434 1
0.1%
1433 1
0.1%
1432 1
0.1%
1431 1
0.1%
1430 1
0.1%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
경상남도도립미술관
1439 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도도립미술관 1439
100.0%

Length

2024-04-21T11:49:26.632649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:49:26.709817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도도립미술관 1439
100.0%

관리기관연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
055-254-4601
1439 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-254-4601
2nd row055-254-4601
3rd row055-254-4601
4th row055-254-4601
5th row055-254-4601

Common Values

ValueCountFrequency (%)
055-254-4601 1439
100.0%

Length

2024-04-21T11:49:26.798553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:49:26.887669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-254-4601 1439
100.0%

작가
Text

Distinct598
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-04-21T11:49:27.157758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.7310632
Min length2

Characters and Unicode

Total characters5369
Distinct characters350
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique428 ?
Unique (%)29.7%

Sample

1st row박생광
2nd row박생광
3rd row문신
4th row박생광
5th row문신
ValueCountFrequency (%)
강국진 204
 
12.7%
최운 49
 
3.0%
채준 43
 
2.7%
박생광 32
 
2.0%
전혁림 26
 
1.6%
백순공 22
 
1.4%
김인하 19
 
1.2%
김아타 17
 
1.1%
이상갑 17
 
1.1%
이준 17
 
1.1%
Other values (678) 1165
72.3%
2024-04-21T11:49:27.579448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 242
 
4.5%
강 230
 
4.3%
국 210
 
3.9%
이 185
 
3.4%
174
 
3.2%
김 158
 
2.9%
a 143
 
2.7%
박 101
 
1.9%
정 83
 
1.5%
i 79
 
1.5%
Other values (340) 3764
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4191
78.1%
Lowercase Letter 830
 
15.5%
Space Separator 174
 
3.2%
Uppercase Letter 161
 
3.0%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 242
 
5.8%
강 230
 
5.5%
국 210
 
5.0%
이 185
 
4.4%
김 158
 
3.8%
박 101
 
2.4%
정 83
 
2.0%
최 79
 
1.9%
준 75
 
1.8%
영 63
 
1.5%
Other values (298) 2765
66.0%
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 (%)
174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4191
78.1%
Latin 991
 
18.5%
Common 187
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 242
 
5.8%
강 230
 
5.5%
국 210
 
5.0%
이 185
 
4.4%
김 158
 
3.8%
박 101
 
2.4%
정 83
 
2.0%
최 79
 
1.9%
준 75
 
1.8%
영 63
 
1.5%
Other values (298) 2765
66.0%
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 (%)
174
93.0%
( 5
 
2.7%
) 5
 
2.7%
, 2
 
1.1%
+ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4191
78.1%
ASCII 1178
 
21.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 242
 
5.8%
강 230
 
5.5%
국 210
 
5.0%
이 185
 
4.4%
김 158
 
3.8%
박 101
 
2.4%
정 83
 
2.0%
최 79
 
1.9%
준 75
 
1.8%
영 63
 
1.5%
Other values (298) 2765
66.0%
ASCII
ValueCountFrequency (%)
174
14.8%
a 143
 
12.1%
i 79
 
6.7%
n 76
 
6.5%
r 65
 
5.5%
f 55
 
4.7%
o 54
 
4.6%
S 50
 
4.2%
t 46
 
3.9%
u 44
 
3.7%
Other values (32) 392
33.3%

명제
Text

Distinct1167
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-04-21T11:49:27.855861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length5.9374566
Min length1

Characters and Unicode

Total characters8544
Distinct characters764
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

Unique1092 ?
Unique (%)75.9%

Sample

1st row십장생(학)
2nd row포도와 다람쥐
3rd row뒷산과 하늘(언덕-구름B)
4th row단청과 대들보
5th row두 여인
ValueCountFrequency (%)
무제 70
 
3.3%
미상 51
 
2.4%
풍경 23
 
1.1%
환상 19
 
0.9%
토기의 18
 
0.9%
project 15
 
0.7%
no 15
 
0.7%
museum 15
 
0.7%
산수 12
 
0.6%
여인 12
 
0.6%
Other values (1487) 1846
88.1%
2024-04-21T11:49:28.263814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
 
7.7%
- 245
 
2.9%
e 195
 
2.3%
1 181
 
2.1%
2 164
 
1.9%
a 149
 
1.7%
o 148
 
1.7%
n 146
 
1.7%
) 144
 
1.7%
( 144
 
1.7%
Other values (754) 6371
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4368
51.1%
Lowercase Letter 1627
 
19.0%
Decimal Number 920
 
10.8%
Space Separator 657
 
7.7%
Uppercase Letter 350
 
4.1%
Dash Punctuation 245
 
2.9%
Close Punctuation 144
 
1.7%
Open Punctuation 144
 
1.7%
Other Punctuation 67
 
0.8%
Math Symbol 11
 
0.1%
Other values (2) 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 127
 
2.9%
무 118
 
2.7%
의 118
 
2.7%
제 96
 
2.2%
리 81
 
1.9%
미 71
 
1.6%
도 66
 
1.5%
기 65
 
1.5%
이 63
 
1.4%
산 60
 
1.4%
Other values (676) 3503
80.2%
Uppercase Letter
ValueCountFrequency (%)
M 35
 
10.0%
F 33
 
9.4%
B 26
 
7.4%
I 25
 
7.1%
R 20
 
5.7%
W 19
 
5.4%
S 19
 
5.4%
J 16
 
4.6%
E 16
 
4.6%
C 15
 
4.3%
Other values (15) 126
36.0%
Lowercase Letter
ValueCountFrequency (%)
e 195
12.0%
a 149
 
9.2%
o 148
 
9.1%
n 146
 
9.0%
t 108
 
6.6%
i 108
 
6.6%
r 105
 
6.5%
s 93
 
5.7%
l 78
 
4.8%
u 72
 
4.4%
Other values (14) 425
26.1%
Decimal Number
ValueCountFrequency (%)
1 181
19.7%
2 164
17.8%
0 121
13.2%
3 85
9.2%
8 85
9.2%
5 68
 
7.4%
9 61
 
6.6%
4 56
 
6.1%
7 51
 
5.5%
6 48
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 38
56.7%
, 13
 
19.4%
/ 4
 
6.0%
# 4
 
6.0%
? 3
 
4.5%
! 2
 
3.0%
; 1
 
1.5%
· 1
 
1.5%
: 1
 
1.5%
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 (%)
657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4069
47.6%
Common 2191
25.6%
Latin 1985
23.2%
Han 299
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 127
 
3.1%
무 118
 
2.9%
의 118
 
2.9%
제 96
 
2.4%
리 81
 
2.0%
미 71
 
1.7%
도 66
 
1.6%
기 65
 
1.6%
이 63
 
1.5%
산 60
 
1.5%
Other values (472) 3204
78.7%
Han
ValueCountFrequency (%)
心 8
 
2.7%
詩 5
 
1.7%
花 5
 
1.7%
歌 4
 
1.3%
文 4
 
1.3%
和 4
 
1.3%
生 4
 
1.3%
天 4
 
1.3%
圖 4
 
1.3%
海 4
 
1.3%
Other values (194) 253
84.6%
Latin
ValueCountFrequency (%)
e 195
 
9.8%
a 149
 
7.5%
o 148
 
7.5%
n 146
 
7.4%
t 108
 
5.4%
i 108
 
5.4%
r 105
 
5.3%
s 93
 
4.7%
l 78
 
3.9%
u 72
 
3.6%
Other values (42) 783
39.4%
Common
ValueCountFrequency (%)
657
30.0%
- 245
 
11.2%
1 181
 
8.3%
2 164
 
7.5%
) 144
 
6.6%
( 144
 
6.6%
0 121
 
5.5%
3 85
 
3.9%
8 85
 
3.9%
5 68
 
3.1%
Other values (16) 297
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4167
48.8%
Hangul 4069
47.6%
CJK 290
 
3.4%
CJK Compat Ideographs 9
 
0.1%
Number Forms 8
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
 
15.8%
- 245
 
5.9%
e 195
 
4.7%
1 181
 
4.3%
2 164
 
3.9%
a 149
 
3.6%
o 148
 
3.6%
n 146
 
3.5%
) 144
 
3.5%
( 144
 
3.5%
Other values (64) 1994
47.9%
Hangul
ValueCountFrequency (%)
상 127
 
3.1%
무 118
 
2.9%
의 118
 
2.9%
제 96
 
2.4%
리 81
 
2.0%
미 71
 
1.7%
도 66
 
1.6%
기 65
 
1.6%
이 63
 
1.5%
산 60
 
1.5%
Other values (472) 3204
78.7%
CJK
ValueCountFrequency (%)
心 8
 
2.8%
詩 5
 
1.7%
花 5
 
1.7%
歌 4
 
1.4%
文 4
 
1.4%
和 4
 
1.4%
生 4
 
1.4%
天 4
 
1.4%
圖 4
 
1.4%
海 4
 
1.4%
Other values (187) 244
84.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 2
25.0%
Ⅲ 2
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
若 2
22.2%
龍 2
22.2%
蘭 1
11.1%
李 1
11.1%
列 1
11.1%
律 1
11.1%
亂 1
11.1%
None
ValueCountFrequency (%)
· 1
100.0%

제작년도
Text

MISSING 

Distinct119
Distinct (%)8.7%
Missing73
Missing (%)5.1%
Memory size11.4 KiB
2024-04-21T11:49:28.472195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.2393851
Min length2

Characters and Unicode

Total characters5791
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)2.9%

Sample

1st row1980년대
2nd row1978년
3rd row1948
4th row1977년
5th row1974년
ValueCountFrequency (%)
2011 85
 
6.2%
2007 61
 
4.4%
1987 57
 
4.1%
1976 43
 
3.1%
1980년대 37
 
2.7%
1997 37
 
2.7%
1973 35
 
2.5%
2002 33
 
2.4%
2000 33
 
2.4%
2008 30
 
2.2%
Other values (106) 927
67.3%
2024-04-21T11:49:28.797791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1205
20.8%
1 1197
20.7%
0 1011
17.5%
2 615
10.6%
7 446
 
7.7%
8 417
 
7.2%
6 177
 
3.1%
5 162
 
2.8%
년 123
 
2.1%
3 114
 
2.0%
Other values (21) 324
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5442
94.0%
Other Letter 318
 
5.5%
Space Separator 12
 
0.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 123
38.7%
대 111
34.9%
추 18
 
5.7%
정 18
 
5.7%
미 13
 
4.1%
상 13
 
4.1%
도 6
 
1.9%
연 6
 
1.9%
경 3
 
0.9%
한 1
 
0.3%
Other values (6) 6
 
1.9%
Decimal Number
ValueCountFrequency (%)
9 1205
22.1%
1 1197
22.0%
0 1011
18.6%
2 615
11.3%
7 446
 
8.2%
8 417
 
7.7%
6 177
 
3.3%
5 162
 
3.0%
3 114
 
2.1%
4 98
 
1.8%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5473
94.5%
Hangul 318
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 123
38.7%
대 111
34.9%
추 18
 
5.7%
정 18
 
5.7%
미 13
 
4.1%
상 13
 
4.1%
도 6
 
1.9%
연 6
 
1.9%
경 3
 
0.9%
한 1
 
0.3%
Other values (6) 6
 
1.9%
Common
ValueCountFrequency (%)
9 1205
22.0%
1 1197
21.9%
0 1011
18.5%
2 615
11.2%
7 446
 
8.1%
8 417
 
7.6%
6 177
 
3.2%
5 162
 
3.0%
3 114
 
2.1%
4 98
 
1.8%
Other values (5) 31
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5473
94.5%
Hangul 318
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1205
22.0%
1 1197
21.9%
0 1011
18.5%
2 615
11.2%
7 446
 
8.1%
8 417
 
7.6%
6 177
 
3.2%
5 162
 
3.0%
3 114
 
2.1%
4 98
 
1.8%
Other values (5) 31
 
0.6%
Hangul
ValueCountFrequency (%)
년 123
38.7%
대 111
34.9%
추 18
 
5.7%
정 18
 
5.7%
미 13
 
4.1%
상 13
 
4.1%
도 6
 
1.9%
연 6
 
1.9%
경 3
 
0.9%
한 1
 
0.3%
Other values (6) 6
 
1.9%

규격
Text

Distinct1190
Distinct (%)82.9%
Missing3
Missing (%)0.2%
Memory size11.4 KiB
2024-04-21T11:49:29.077988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length8.1754875
Min length3

Characters and Unicode

Total characters11740
Distinct characters72
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

Unique1087 ?
Unique (%)75.7%

Sample

1st row134.5x136
2nd row63x96
3rd row68x51
4th row54x80
5th row51.8×44.7 (액 : 72×64.5)
ValueCountFrequency (%)
135x35 28
 
1.8%
49.4x74.3 26
 
1.6%
액 20
 
1.3%
130x162 11
 
0.7%
10폭 10
 
0.6%
53x41 9
 
0.6%
130×162 9
 
0.6%
8폭 8
 
0.5%
162x130 8
 
0.5%
27x35 8
 
0.5%
Other values (1245) 1455
91.4%
2024-04-21T11:49:29.473502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1389
11.8%
5 1294
11.0%
x 1172
10.0%
3 1056
9.0%
. 981
8.4%
2 935
8.0%
0 844
 
7.2%
4 822
 
7.0%
6 615
 
5.2%
7 519
 
4.4%
Other values (62) 2113
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8409
71.6%
Lowercase Letter 1235
 
10.5%
Other Punctuation 1067
 
9.1%
Uppercase Letter 257
 
2.2%
Math Symbol 242
 
2.1%
Other Letter 187
 
1.6%
Space Separator 159
 
1.4%
Close Punctuation 91
 
0.8%
Open Punctuation 91
 
0.8%
Initial Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
액 75
40.1%
폭 28
 
15.0%
자 17
 
9.1%
설 5
 
2.7%
치 5
 
2.7%
점 4
 
2.1%
높 4
 
2.1%
포 3
 
1.6%
함 3
 
1.6%
이 3
 
1.6%
Other values (25) 40
21.4%
Lowercase Letter
ValueCountFrequency (%)
x 1172
94.9%
m 23
 
1.9%
c 22
 
1.8%
e 5
 
0.4%
a 3
 
0.2%
s 3
 
0.2%
i 1
 
0.1%
n 1
 
0.1%
g 1
 
0.1%
k 1
 
0.1%
Other values (3) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1389
16.5%
5 1294
15.4%
3 1056
12.6%
2 935
11.1%
0 844
10.0%
4 822
9.8%
6 615
7.3%
7 519
 
6.2%
9 498
 
5.9%
8 437
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 981
91.9%
: 62
 
5.8%
, 8
 
0.7%
/ 8
 
0.7%
" 3
 
0.3%
' 3
 
0.3%
* 2
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
“ 1
50.0%
‘ 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
X 257
100.0%
Math Symbol
ValueCountFrequency (%)
× 242
100.0%
Space Separator
ValueCountFrequency (%)
159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10061
85.7%
Latin 1492
 
12.7%
Hangul 187
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
액 75
40.1%
폭 28
 
15.0%
자 17
 
9.1%
설 5
 
2.7%
치 5
 
2.7%
점 4
 
2.1%
높 4
 
2.1%
포 3
 
1.6%
함 3
 
1.6%
이 3
 
1.6%
Other values (25) 40
21.4%
Common
ValueCountFrequency (%)
1 1389
13.8%
5 1294
12.9%
3 1056
10.5%
. 981
9.8%
2 935
9.3%
0 844
8.4%
4 822
8.2%
6 615
6.1%
7 519
 
5.2%
9 498
 
4.9%
Other values (13) 1108
11.0%
Latin
ValueCountFrequency (%)
x 1172
78.6%
X 257
 
17.2%
m 23
 
1.5%
c 22
 
1.5%
e 5
 
0.3%
a 3
 
0.2%
s 3
 
0.2%
i 1
 
0.1%
n 1
 
0.1%
g 1
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11309
96.3%
None 242
 
2.1%
Hangul 187
 
1.6%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1389
12.3%
5 1294
11.4%
x 1172
10.4%
3 1056
9.3%
. 981
8.7%
2 935
8.3%
0 844
7.5%
4 822
7.3%
6 615
 
5.4%
7 519
 
4.6%
Other values (24) 1682
14.9%
None
ValueCountFrequency (%)
× 242
100.0%
Hangul
ValueCountFrequency (%)
액 75
40.1%
폭 28
 
15.0%
자 17
 
9.1%
설 5
 
2.7%
치 5
 
2.7%
점 4
 
2.1%
높 4
 
2.1%
포 3
 
1.6%
함 3
 
1.6%
이 3
 
1.6%
Other values (25) 40
21.4%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
‘ 1
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2024-04-05 00:00:00
Maximum2024-04-05 00:00:00
2024-04-21T11:49:29.578057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:29.655628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:49:25.990439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T11:49:26.105765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:49:26.212406image/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.
2024-04-21T11:49:26.294243image/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

순번관리기관관리기관연락처작가명제제작년도규격데이터기준일자
01경상남도도립미술관055-254-4601박생광십장생(학)1980년대134.5x1362024-04-05
12경상남도도립미술관055-254-4601박생광포도와 다람쥐1978년63x962024-04-05
23경상남도도립미술관055-254-4601문신뒷산과 하늘(언덕-구름B)194868x512024-04-05
34경상남도도립미술관055-254-4601박생광단청과 대들보1977년54x802024-04-05
45경상남도도립미술관055-254-4601문신두 여인1974년51.8×44.7 (액 : 72×64.5)2024-04-05
56경상남도도립미술관055-254-4601강신석가오리197244x372024-04-05
67경상남도도립미술관055-254-4601초삼랑경상남도 조감도1930년대53x2382024-04-05
78경상남도도립미술관055-254-4601송혜수통영 앞 바다196541x532024-04-05
89경상남도도립미술관055-254-4601김영교도봉산198443x522024-04-05
910경상남도도립미술관055-254-4601이형섭외금강산도1980년대59x402024-04-05
순번관리기관관리기관연락처작가명제제작년도규격데이터기준일자
14291430경상남도도립미술관055-254-4601조영실묵죽201970x205 (액자: 93.5×230)2024-04-05
14301431경상남도도립미술관055-254-4601안병목묵매1970년대 추정100x34 (액: 124×53)2024-04-05
14311432경상남도도립미술관055-254-4601안병목묵죽1970년대 추정100x34 (액: 124×53)2024-04-05
14321433경상남도도립미술관055-254-4601주정이동밖이모200928×28 (액: 51×51)2024-04-05
14331434경상남도도립미술관055-254-4601정규목마미상37.5×30 (액: 54.5×48)2024-04-05
14341435경상남도도립미술관055-254-4601장욱진여름날197931×25.5 (액: 54.5×48)2024-04-05
14351436경상남도도립미술관055-254-4601한묵Spirale N.2197238×38 (액: 77×57.5)2024-04-05
14361437경상남도도립미술관055-254-4601유영국미상미상44×37 (액: 77×67)2024-04-05
14371438경상남도도립미술관055-254-4601김영진산수1989156.5×124.5 (액: 176×143.5)2024-04-05
14381439경상남도도립미술관055-254-4601김영진무녀도1989130×84 (액: 150×104)2024-04-05