Overview

Dataset statistics

Number of variables8
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory67.6 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description전라남도 산하 도립미술관 소장품 제안구입 목록 정보로 작품명, 작가명, 제작연도, 유형, 제작기법, 작품크기 등을 포함하고 있음
Author전라남도
URLhttps://www.data.go.kr/data/15105772/fileData.do

Alerts

연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:14:20.514271
Analysis finished2023-12-12 04:14:21.526919
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T13:14:21.686879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-12T13:14:22.267607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

관리번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T13:14:22.549562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters408
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st rowNM-00010
2nd rowPA-00111
3rd rowSC-00012
4th rowPA-00112
5th rowKO-00068
ValueCountFrequency (%)
nm-00010 1
 
2.0%
nm-00014 1
 
2.0%
pa-00135 1
 
2.0%
pa-00136 1
 
2.0%
pa-00137 1
 
2.0%
pa-00138 1
 
2.0%
pa-00139 1
 
2.0%
pa-00140 1
 
2.0%
sc-00015 1
 
2.0%
nm-00018 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T13:14:23.027489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 135
33.1%
- 51
 
12.5%
1 41
 
10.0%
P 30
 
7.4%
A 25
 
6.1%
2 16
 
3.9%
3 16
 
3.9%
5 10
 
2.5%
K 9
 
2.2%
6 9
 
2.2%
Other values (10) 66
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 255
62.5%
Uppercase Letter 102
 
25.0%
Dash Punctuation 51
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
52.9%
1 41
 
16.1%
2 16
 
6.3%
3 16
 
6.3%
5 10
 
3.9%
6 9
 
3.5%
8 8
 
3.1%
7 8
 
3.1%
4 6
 
2.4%
9 6
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
P 30
29.4%
A 25
24.5%
K 9
 
8.8%
O 9
 
8.8%
N 8
 
7.8%
M 8
 
7.8%
H 5
 
4.9%
C 4
 
3.9%
S 4
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
75.0%
Latin 102
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 135
44.1%
- 51
 
16.7%
1 41
 
13.4%
2 16
 
5.2%
3 16
 
5.2%
5 10
 
3.3%
6 9
 
2.9%
8 8
 
2.6%
7 8
 
2.6%
4 6
 
2.0%
Latin
ValueCountFrequency (%)
P 30
29.4%
A 25
24.5%
K 9
 
8.8%
O 9
 
8.8%
N 8
 
7.8%
M 8
 
7.8%
H 5
 
4.9%
C 4
 
3.9%
S 4
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 135
33.1%
- 51
 
12.5%
1 41
 
10.0%
P 30
 
7.4%
A 25
 
6.1%
2 16
 
3.9%
3 16
 
3.9%
5 10
 
2.5%
K 9
 
2.2%
6 9
 
2.2%
Other values (10) 66
16.2%

작가명(국문)
Text

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T13:14:23.310272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length3
Mean length3.8039216
Min length2

Characters and Unicode

Total characters194
Distinct characters106
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)62.7%

Sample

1st row줄리안 오피
2nd row김근태
3rd row자비에르 베이앙
4th row로랑그라소
5th row김선두
ValueCountFrequency (%)
강운 4
 
6.8%
고화흠 4
 
6.8%
세오 3
 
5.1%
김정헌 2
 
3.4%
윤재우 2
 
3.4%
aes+f 2
 
3.4%
정정주 2
 
3.4%
요안나 1
 
1.7%
줄리안 1
 
1.7%
오피 1
 
1.7%
Other values (37) 37
62.7%
2023-12-12T13:14:23.783895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
5.2%
이 10
 
5.2%
김 7
 
3.6%
정 6
 
3.1%
강 5
 
2.6%
오 5
 
2.6%
운 5
 
2.6%
고 5
 
2.6%
세 4
 
2.1%
재 4
 
2.1%
Other values (96) 133
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
82.5%
Lowercase Letter 13
 
6.7%
Space Separator 10
 
5.2%
Uppercase Letter 9
 
4.6%
Math Symbol 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
6.2%
김 7
 
4.4%
정 6
 
3.8%
강 5
 
3.1%
오 5
 
3.1%
운 5
 
3.1%
고 5
 
3.1%
세 4
 
2.5%
재 4
 
2.5%
흠 4
 
2.5%
Other values (81) 105
65.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
30.8%
k 2
15.4%
n 2
15.4%
i 1
 
7.7%
j 1
 
7.7%
o 1
 
7.7%
w 1
 
7.7%
s 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
E 2
22.2%
S 2
22.2%
F 2
22.2%
R 1
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
82.5%
Latin 22
 
11.3%
Common 12
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
6.2%
김 7
 
4.4%
정 6
 
3.8%
강 5
 
3.1%
오 5
 
3.1%
운 5
 
3.1%
고 5
 
3.1%
세 4
 
2.5%
재 4
 
2.5%
흠 4
 
2.5%
Other values (81) 105
65.6%
Latin
ValueCountFrequency (%)
a 4
18.2%
k 2
9.1%
n 2
9.1%
A 2
9.1%
E 2
9.1%
S 2
9.1%
F 2
9.1%
R 1
 
4.5%
i 1
 
4.5%
j 1
 
4.5%
Other values (3) 3
13.6%
Common
ValueCountFrequency (%)
10
83.3%
+ 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
82.5%
ASCII 34
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
29.4%
a 4
 
11.8%
k 2
 
5.9%
n 2
 
5.9%
A 2
 
5.9%
E 2
 
5.9%
S 2
 
5.9%
+ 2
 
5.9%
F 2
 
5.9%
R 1
 
2.9%
Other values (5) 5
14.7%
Hangul
ValueCountFrequency (%)
이 10
 
6.2%
김 7
 
4.4%
정 6
 
3.8%
강 5
 
3.1%
오 5
 
3.1%
운 5
 
3.1%
고 5
 
3.1%
세 4
 
2.5%
재 4
 
2.5%
흠 4
 
2.5%
Other values (81) 105
65.6%

작품명(국문)
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T13:14:24.185077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.6666667
Min length2

Characters and Unicode

Total characters442
Distinct characters183
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

Unique49 ?
Unique (%)96.1%

Sample

1st rowWalking in London
2nd row들꽃처럼 별들처럼(사계) (77점)
3rd rowBird n°2
4th row과거에 대한 고찰
5th row별 헤는 밤
ValueCountFrequency (%)
집에 3
 
2.6%
나의 3
 
2.6%
나 3
 
2.6%
낯선 3
 
2.6%
바람 2
 
1.7%
신성한 2
 
1.7%
마음산책-파고(波高 2
 
1.7%
우화 2
 
1.7%
1,2 2
 
1.7%
도자기 1
 
0.9%
Other values (94) 94
80.3%
2023-12-12T13:14:24.856552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
14.9%
- 9
 
2.0%
의 9
 
2.0%
나 9
 
2.0%
산 8
 
1.8%
0 8
 
1.8%
1 8
 
1.8%
이 7
 
1.6%
에 6
 
1.4%
2 6
 
1.4%
Other values (173) 306
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
62.4%
Space Separator 66
 
14.9%
Decimal Number 35
 
7.9%
Lowercase Letter 28
 
6.3%
Dash Punctuation 9
 
2.0%
Uppercase Letter 9
 
2.0%
Other Punctuation 8
 
1.8%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Math Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 9
 
3.3%
나 9
 
3.3%
산 8
 
2.9%
이 7
 
2.5%
에 6
 
2.2%
는 6
 
2.2%
음 5
 
1.8%
정 5
 
1.8%
선 5
 
1.8%
도 5
 
1.8%
Other values (134) 211
76.4%
Lowercase Letter
ValueCountFrequency (%)
n 5
17.9%
e 4
14.3%
i 4
14.3%
r 3
10.7%
o 3
10.7%
f 2
 
7.1%
d 2
 
7.1%
g 1
 
3.6%
k 1
 
3.6%
l 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 8
22.9%
1 8
22.9%
2 6
17.1%
7 3
 
8.6%
9 2
 
5.7%
5 2
 
5.7%
8 2
 
5.7%
3 2
 
5.7%
6 2
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
S 1
11.1%
V 1
11.1%
I 1
11.1%
W 1
11.1%
B 1
11.1%
T 1
11.1%
H 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
# 3
37.5%
. 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
60.4%
Common 129
29.2%
Latin 37
 
8.4%
Han 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 9
 
3.4%
나 9
 
3.4%
산 8
 
3.0%
이 7
 
2.6%
에 6
 
2.2%
는 6
 
2.2%
음 5
 
1.9%
정 5
 
1.9%
선 5
 
1.9%
도 5
 
1.9%
Other values (130) 202
75.7%
Latin
ValueCountFrequency (%)
n 5
13.5%
e 4
 
10.8%
i 4
 
10.8%
r 3
 
8.1%
o 3
 
8.1%
L 2
 
5.4%
f 2
 
5.4%
d 2
 
5.4%
S 1
 
2.7%
V 1
 
2.7%
Other values (10) 10
27.0%
Common
ValueCountFrequency (%)
66
51.2%
- 9
 
7.0%
0 8
 
6.2%
1 8
 
6.2%
2 6
 
4.7%
, 4
 
3.1%
( 4
 
3.1%
) 4
 
3.1%
7 3
 
2.3%
# 3
 
2.3%
Other values (9) 14
 
10.9%
Han
ValueCountFrequency (%)
岸 3
33.3%
白 2
22.2%
高 2
22.2%
波 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
60.4%
ASCII 165
37.3%
CJK 9
 
2.0%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
40.0%
- 9
 
5.5%
0 8
 
4.8%
1 8
 
4.8%
2 6
 
3.6%
n 5
 
3.0%
e 4
 
2.4%
i 4
 
2.4%
, 4
 
2.4%
( 4
 
2.4%
Other values (28) 47
28.5%
Hangul
ValueCountFrequency (%)
의 9
 
3.4%
나 9
 
3.4%
산 8
 
3.0%
이 7
 
2.6%
에 6
 
2.2%
는 6
 
2.2%
음 5
 
1.9%
정 5
 
1.9%
선 5
 
1.9%
도 5
 
1.9%
Other values (130) 202
75.7%
CJK
ValueCountFrequency (%)
岸 3
33.3%
白 2
22.2%
高 2
22.2%
波 2
22.2%
None
ValueCountFrequency (%)
° 1
100.0%

제작년도
Categorical

Distinct23
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2021
10 
2019
6 
2020
5 
2017
4 
2014
3 
Other values (18)
23 

Length

Max length10
Median length4
Mean length4.3137255
Min length4

Unique

Unique13 ?
Unique (%)25.5%

Sample

1st row2019
2nd row2012~2015
3rd row2018
4th row2021
5th row2018

Common Values

ValueCountFrequency (%)
2021 10
19.6%
2019 6
11.8%
2020 5
 
9.8%
2017 4
 
7.8%
2014 3
 
5.9%
2018 2
 
3.9%
2003 2
 
3.9%
2008 2
 
3.9%
2012 2
 
3.9%
2022 2
 
3.9%
Other values (13) 13
25.5%

Length

2023-12-12T13:14:25.056968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021 10
19.6%
2019 6
11.8%
2020 5
 
9.8%
2017 4
 
7.8%
2014 3
 
5.9%
2018 2
 
3.9%
2003 2
 
3.9%
2008 2
 
3.9%
2012 2
 
3.9%
2022 2
 
3.9%
Other values (13) 13
25.5%

사이즈(H X W)
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T13:14:25.417639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length11.745098
Min length6

Characters and Unicode

Total characters599
Distinct characters39
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

Unique44 ?
Unique (%)86.3%

Sample

1st row207.8x139.9x98.9
2nd row160.2*130.3(77점)
3rd row166x233x81
4th row400x200 cm
5th row180x600cm
ValueCountFrequency (%)
227.3x181.8 4
 
4.5%
200x165cm 3
 
3.4%
ap 2
 
2.2%
1점 2
 
2.2%
ed/5 2
 
2.2%
127.2x74.5x7.5 2
 
2.2%
x 2
 
2.2%
224 2
 
2.2%
160 2
 
2.2%
248.5x333 1
 
1.1%
Other values (67) 67
75.3%
2023-12-12T13:14:25.954742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 79
13.2%
0 78
13.0%
x 59
 
9.8%
2 57
 
9.5%
39
 
6.5%
3 32
 
5.3%
5 27
 
4.5%
. 26
 
4.3%
7 25
 
4.2%
8 24
 
4.0%
Other values (29) 153
25.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
62.8%
Lowercase Letter 110
 
18.4%
Space Separator 39
 
6.5%
Other Punctuation 37
 
6.2%
Other Letter 27
 
4.5%
Uppercase Letter 6
 
1.0%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 7
25.9%
초 7
25.9%
점 5
18.5%
패 1
 
3.7%
널 1
 
3.7%
대 1
 
3.7%
당 1
 
3.7%
전 1
 
3.7%
체 1
 
3.7%
폭 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 79
21.0%
0 78
20.7%
2 57
15.2%
3 32
8.5%
5 27
 
7.2%
7 25
 
6.6%
8 24
 
6.4%
6 21
 
5.6%
4 19
 
5.1%
9 14
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
x 59
53.6%
c 19
 
17.3%
m 14
 
12.7%
e 6
 
5.5%
p 5
 
4.5%
d 4
 
3.6%
s 2
 
1.8%
i 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 26
70.3%
/ 6
 
16.2%
, 4
 
10.8%
* 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
X 2
33.3%
P 2
33.3%
A 2
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
76.1%
Latin 116
 
19.4%
Hangul 27
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 79
17.3%
0 78
17.1%
2 57
12.5%
39
8.6%
3 32
7.0%
5 27
 
5.9%
. 26
 
5.7%
7 25
 
5.5%
8 24
 
5.3%
6 21
 
4.6%
Other values (7) 48
10.5%
Latin
ValueCountFrequency (%)
x 59
50.9%
c 19
 
16.4%
m 14
 
12.1%
e 6
 
5.2%
p 5
 
4.3%
d 4
 
3.4%
X 2
 
1.7%
s 2
 
1.7%
P 2
 
1.7%
A 2
 
1.7%
Hangul
ValueCountFrequency (%)
분 7
25.9%
초 7
25.9%
점 5
18.5%
패 1
 
3.7%
널 1
 
3.7%
대 1
 
3.7%
당 1
 
3.7%
전 1
 
3.7%
체 1
 
3.7%
폭 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
95.5%
Hangul 27
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 79
13.8%
0 78
13.6%
x 59
10.3%
2 57
10.0%
39
 
6.8%
3 32
 
5.6%
5 27
 
4.7%
. 26
 
4.5%
7 25
 
4.4%
8 24
 
4.2%
Other values (18) 126
22.0%
Hangul
ValueCountFrequency (%)
분 7
25.9%
초 7
25.9%
점 5
18.5%
패 1
 
3.7%
널 1
 
3.7%
대 1
 
3.7%
당 1
 
3.7%
전 1
 
3.7%
체 1
 
3.7%
폭 1
 
3.7%

재료(국문)
Text

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T13:14:26.285069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length25
Mean length12.45098
Min length3

Characters and Unicode

Total characters635
Distinct characters136
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

Unique25 ?
Unique (%)49.0%

Sample

1st row4면 LED스크린에 컴퓨터 애니메이션
2nd row캔버스에 유채
3rd row레진 폴리에스터, 폴리스틸렌, 스테인레스 스틸
4th row캔버스에 유채
5th row장지에 먹, 분채
ValueCountFrequency (%)
캔버스에 25
 
16.1%
유채 15
 
9.7%
아크릴릭 11
 
7.1%
한지에 6
 
3.9%
프린트 4
 
2.6%
애니메이션 3
 
1.9%
수묵채색 3
 
1.9%
컬러 3
 
1.9%
수묵 3
 
1.9%
비디오 3
 
1.9%
Other values (64) 79
51.0%
2023-12-12T13:14:26.696496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
16.9%
에 40
 
6.3%
스 35
 
5.5%
, 28
 
4.4%
캔 27
 
4.3%
버 27
 
4.3%
채 26
 
4.1%
크 18
 
2.8%
아 16
 
2.5%
유 15
 
2.4%
Other values (126) 296
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
72.3%
Space Separator 107
 
16.9%
Other Punctuation 28
 
4.4%
Decimal Number 16
 
2.5%
Lowercase Letter 14
 
2.2%
Uppercase Letter 9
 
1.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 40
 
8.7%
스 35
 
7.6%
캔 27
 
5.9%
버 27
 
5.9%
채 26
 
5.7%
크 18
 
3.9%
아 16
 
3.5%
유 15
 
3.3%
릴 12
 
2.6%
릭 11
 
2.4%
Other values (100) 232
50.5%
Lowercase Letter
ValueCountFrequency (%)
i 2
14.3%
p 2
14.3%
m 2
14.3%
y 1
7.1%
d 1
7.1%
s 1
7.1%
h 1
7.1%
c 1
7.1%
t 1
7.1%
l 1
7.1%
Decimal Number
ValueCountFrequency (%)
4 4
25.0%
2 3
18.8%
7 3
18.8%
0 2
12.5%
3 2
12.5%
1 1
 
6.2%
6 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
D 4
44.4%
L 2
22.2%
E 2
22.2%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
107
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
72.3%
Common 153
 
24.1%
Latin 23
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 40
 
8.7%
스 35
 
7.6%
캔 27
 
5.9%
버 27
 
5.9%
채 26
 
5.7%
크 18
 
3.9%
아 16
 
3.5%
유 15
 
3.3%
릴 12
 
2.6%
릭 11
 
2.4%
Other values (100) 232
50.5%
Latin
ValueCountFrequency (%)
D 4
17.4%
i 2
 
8.7%
L 2
 
8.7%
p 2
 
8.7%
m 2
 
8.7%
E 2
 
8.7%
K 1
 
4.3%
y 1
 
4.3%
d 1
 
4.3%
s 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
107
69.9%
, 28
 
18.3%
4 4
 
2.6%
2 3
 
2.0%
7 3
 
2.0%
0 2
 
1.3%
3 2
 
1.3%
( 1
 
0.7%
1 1
 
0.7%
6 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
72.3%
ASCII 176
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
60.8%
, 28
 
15.9%
4 4
 
2.3%
D 4
 
2.3%
2 3
 
1.7%
7 3
 
1.7%
i 2
 
1.1%
L 2
 
1.1%
p 2
 
1.1%
m 2
 
1.1%
Other values (16) 19
 
10.8%
Hangul
ValueCountFrequency (%)
에 40
 
8.7%
스 35
 
7.6%
캔 27
 
5.9%
버 27
 
5.9%
채 26
 
5.7%
크 18
 
3.9%
아 16
 
3.5%
유 15
 
3.3%
릴 12
 
2.6%
릭 11
 
2.4%
Other values (100) 232
50.5%

장르
Categorical

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
회화
25 
한국화
9 
뉴미디어
6 
사진
5 
조각
4 

Length

Max length4
Median length2
Mean length2.4509804
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
회화 25
49.0%
한국화 9
 
17.6%
뉴미디어 6
 
11.8%
사진 5
 
9.8%
조각 4
 
7.8%
미디어 2
 
3.9%

Length

2023-12-12T13:14:26.882792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:14:27.004051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회화 25
49.0%
한국화 9
 
17.6%
뉴미디어 6
 
11.8%
사진 5
 
9.8%
조각 4
 
7.8%
미디어 2
 
3.9%

Interactions

2023-12-12T13:14:21.160452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:14:27.085910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호작가명(국문)작품명(국문)제작년도사이즈(H X W)재료(국문)장르
연번1.0001.0000.9901.0000.6881.0000.8450.407
관리번호1.0001.0001.0001.0001.0001.0001.0001.000
작가명(국문)0.9901.0001.0001.0000.8821.0001.0001.000
작품명(국문)1.0001.0001.0001.0001.0001.0001.0001.000
제작년도0.6881.0000.8821.0001.0000.9980.7960.427
사이즈(H X W)1.0001.0001.0001.0000.9981.0001.0001.000
재료(국문)0.8451.0001.0001.0000.7961.0001.0001.000
장르0.4071.0001.0001.0000.4271.0001.0001.000
2023-12-12T13:14:27.216005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장르제작년도
장르1.0000.134
제작년도0.1341.000
2023-12-12T13:14:27.303301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제작년도장르
연번1.0000.2500.200
제작년도0.2501.0000.134
장르0.2000.1341.000

Missing values

2023-12-12T13:14:21.299822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:14:21.472976image/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.

Sample

연번관리번호작가명(국문)작품명(국문)제작년도사이즈(H X W)재료(국문)장르
01NM-00010줄리안 오피Walking in London2019207.8x139.9x98.94면 LED스크린에 컴퓨터 애니메이션미디어
12PA-00111김근태들꽃처럼 별들처럼(사계) (77점)2012~2015160.2*130.3(77점)캔버스에 유채회화
23SC-00012자비에르 베이앙Bird n°22018166x233x81레진 폴리에스터, 폴리스틸렌, 스테인레스 스틸조각
34PA-00112로랑그라소과거에 대한 고찰2021400x200 cm캔버스에 유채회화
45KO-00068김선두별 헤는 밤2018180x600cm장지에 먹, 분채한국화
56PA-00113세오나의 집에 낯선 나 62021200x165cm캔버스에 아크릴릭회화
67PA-00114세오나의 집에 낯선 나 72021200x165cm캔버스에 아크릴릭회화
78PA-00115세오나의 집에 낯선 나 82021200x165cm캔버스에 아크릴릭회화
89KO-00069장창익가족2003200x360cm장지에 채색한국화
910KO-00070조병연월출산 전도2019210x1,000cm한지에 수묵채색한국화
연번관리번호작가명(국문)작품명(국문)제작년도사이즈(H X W)재료(국문)장르
4142PA-00252강운마음산책-하양2021227.3x181.8캔버스에 유채회화
4243PA-00253강운마음산책-파고(波高)2020227.3x181.8캔버스에 유채회화
4344PA-00254강운마음산책-파고(波高)2020227.3x181.8캔버스에 유채회화
4445PA-00255강운마음산책-구름에서 마음으로 가는 여정2022227.3x181.8캔버스에 유채회화
4546PH-00019이재각보리밭을 흔드는 바람2022(2014)40x60cm 4점, 60x90cm 1점, 100x150cm 1점피그먼트 프린트사진
4647PA-00264권순철얼굴2003162x130캔버스에 유채회화
4748KO-00093김천일소요정31989-1991180x360한지에 수묵한국화
4849PA-00265이매리시를 배달하는 자 #1~#10202070x52 총 10점캔버스에 아크릴릭, 금분회화
4950NM-00023임흥순백년여관202347분 22초2채널 영상, 컬러, 사운드, 돌뉴미디어
5051PA-00266김창열회귀 SH 20130052013195x300캔버스에 아크릴릭, 오일회화