Overview

Dataset statistics

Number of variables7
Number of observations1422
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.3 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical1
Text4
Unsupported1

Dataset

Description도립미술관소장품목록전체20151102
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202590

Alerts

번호 has unique valuesUnique
제작년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 02:27:45.875834
Analysis finished2024-03-14 02:27:46.751449
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1422
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.5
Minimum1
Maximum1422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.6 KiB
2024-03-14T11:27:46.821091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.05
Q1356.25
median711.5
Q31066.75
95-th percentile1350.95
Maximum1422
Range1421
Interquartile range (IQR)710.5

Descriptive statistics

Standard deviation410.64035
Coefficient of variation (CV)0.57714737
Kurtosis-1.2
Mean711.5
Median Absolute Deviation (MAD)355.5
Skewness0
Sum1011753
Variance168625.5
MonotonicityStrictly increasing
2024-03-14T11:27:47.128128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
979 1
 
0.1%
955 1
 
0.1%
954 1
 
0.1%
953 1
 
0.1%
952 1
 
0.1%
951 1
 
0.1%
950 1
 
0.1%
949 1
 
0.1%
948 1
 
0.1%
Other values (1412) 1412
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 (%)
1422 1
0.1%
1421 1
0.1%
1420 1
0.1%
1419 1
0.1%
1418 1
0.1%
1417 1
0.1%
1416 1
0.1%
1415 1
0.1%
1414 1
0.1%
1413 1
0.1%

부문
Categorical

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
회화
375 
회  화
212 
한국화
208 
사진
157 
서예
116 
Other values (16)
354 

Length

Max length5
Median length2
Mean length2.6005626
Min length2

Unique

Unique7 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
회화 375
26.4%
회  화 212
14.9%
한국화 208
14.6%
사진 157
11.0%
서예 116
 
8.2%
조각 108
 
7.6%
판화 99
 
7.0%
판  화 78
 
5.5%
공예 28
 
2.0%
드로잉 14
 
1.0%
Other values (11) 27
 
1.9%

Length

2024-03-14T11:27:47.233956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회화 375
21.6%
화 297
17.1%
회 213
12.3%
한국화 208
12.0%
사진 157
9.0%
서예 116
 
6.7%
조각 108
 
6.2%
판화 100
 
5.8%
판 84
 
4.8%
공예 28
 
1.6%
Other values (8) 50
 
2.9%

작가명
Text

Distinct441
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T11:27:47.532336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.104782
Min length2

Characters and Unicode

Total characters4415
Distinct characters288
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)19.3%

Sample

1st row김범석
2nd row조병철
3rd row박종갑
4th row홍선웅
5th row오경영
ValueCountFrequency (%)
손아유 249
 
17.2%
신철균 100
 
6.9%
윤재우 80
 
5.5%
지용출 66
 
4.6%
김광진 55
 
3.8%
임상진 27
 
1.9%
김용봉 21
 
1.5%
김학수 16
 
1.1%
황소연 16
 
1.1%
전국광 15
 
1.0%
Other values (447) 803
55.5%
2024-03-14T11:27:47.947630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 276
 
6.3%
손 251
 
5.7%
아 251
 
5.7%
김 249
 
5.6%
철 144
 
3.3%
이 141
 
3.2%
용 132
 
3.0%
신 120
 
2.7%
진 105
 
2.4%
우 105
 
2.4%
Other values (278) 2641
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4301
97.4%
Lowercase Letter 63
 
1.4%
Space Separator 22
 
0.5%
Uppercase Letter 17
 
0.4%
Control 10
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 276
 
6.4%
손 251
 
5.8%
아 251
 
5.8%
김 249
 
5.8%
철 144
 
3.3%
이 141
 
3.3%
용 132
 
3.1%
신 120
 
2.8%
진 105
 
2.4%
우 105
 
2.4%
Other values (245) 2527
58.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
14.3%
n 9
14.3%
a 7
11.1%
i 7
11.1%
o 6
9.5%
c 4
 
6.3%
s 3
 
4.8%
l 3
 
4.8%
t 3
 
4.8%
k 2
 
3.2%
Other values (8) 10
15.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
23.5%
D 3
17.6%
P 2
11.8%
G 1
 
5.9%
Z 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
L 1
 
5.9%
S 1
 
5.9%
C 1
 
5.9%
Space Separator
ValueCountFrequency (%)
19
86.4%
  3
 
13.6%
Control
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4248
96.2%
Latin 80
 
1.8%
Han 53
 
1.2%
Common 34
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 276
 
6.5%
손 251
 
5.9%
아 251
 
5.9%
김 249
 
5.9%
철 144
 
3.4%
이 141
 
3.3%
용 132
 
3.1%
신 120
 
2.8%
진 105
 
2.5%
우 105
 
2.5%
Other values (197) 2474
58.2%
Han
ValueCountFrequency (%)
中 3
 
5.7%
王 2
 
3.8%
村 2
 
3.8%
石 2
 
3.8%
蕉 1
 
1.9%
秉 1
 
1.9%
歐 1
 
1.9%
態 1
 
1.9%
吉 1
 
1.9%
川 1
 
1.9%
Other values (38) 38
71.7%
Latin
ValueCountFrequency (%)
e 9
 
11.2%
n 9
 
11.2%
a 7
 
8.8%
i 7
 
8.8%
o 6
 
7.5%
c 4
 
5.0%
B 4
 
5.0%
s 3
 
3.8%
D 3
 
3.8%
l 3
 
3.8%
Other values (19) 25
31.2%
Common
ValueCountFrequency (%)
19
55.9%
10
29.4%
  3
 
8.8%
. 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4248
96.2%
ASCII 111
 
2.5%
CJK 52
 
1.2%
None 3
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 276
 
6.5%
손 251
 
5.9%
아 251
 
5.9%
김 249
 
5.9%
철 144
 
3.4%
이 141
 
3.3%
용 132
 
3.1%
신 120
 
2.8%
진 105
 
2.5%
우 105
 
2.5%
Other values (197) 2474
58.2%
ASCII
ValueCountFrequency (%)
19
17.1%
10
 
9.0%
e 9
 
8.1%
n 9
 
8.1%
a 7
 
6.3%
i 7
 
6.3%
o 6
 
5.4%
c 4
 
3.6%
B 4
 
3.6%
s 3
 
2.7%
Other values (22) 33
29.7%
CJK
ValueCountFrequency (%)
中 3
 
5.8%
王 2
 
3.8%
村 2
 
3.8%
石 2
 
3.8%
蕉 1
 
1.9%
秉 1
 
1.9%
歐 1
 
1.9%
態 1
 
1.9%
吉 1
 
1.9%
川 1
 
1.9%
Other values (37) 37
71.2%
None
ValueCountFrequency (%)
  3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
沈 1
100.0%

명제
Text

Distinct1012
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T11:27:48.202917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length6.0225035
Min length1

Characters and Unicode

Total characters8564
Distinct characters720
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique912 ?
Unique (%)64.1%

Sample

1st row모악별곡
2nd row모악-바람
3rd row행려-구이를 바라보다
4th row모악연작 화첩
5th row숨결-어린아이 1
ValueCountFrequency (%)
무제 57
 
2.4%
형태의 47
 
2.0%
소거 47
 
2.0%
제 45
 
1.9%
무 45
 
1.9%
38
 
1.6%
위치 30
 
1.3%
예향색 29
 
1.2%
자립하는 29
 
1.2%
색 29
 
1.2%
Other values (1267) 1953
83.1%
2024-03-14T11:27:48.647824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
945
 
11.0%
- 369
 
4.3%
1 250
 
2.9%
의 240
 
2.8%
9 186
 
2.2%
0 186
 
2.2%
무 133
 
1.6%
제 112
 
1.3%
2 111
 
1.3%
도 110
 
1.3%
Other values (710) 5922
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5437
63.5%
Decimal Number 1117
 
13.0%
Space Separator 987
 
11.5%
Dash Punctuation 369
 
4.3%
Lowercase Letter 272
 
3.2%
Uppercase Letter 169
 
2.0%
Open Punctuation 62
 
0.7%
Close Punctuation 62
 
0.7%
Other Punctuation 40
 
0.5%
Letter Number 39
 
0.5%
Other values (3) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 240
 
4.4%
무 133
 
2.4%
제 112
 
2.1%
도 110
 
2.0%
색 99
 
1.8%
는 95
 
1.7%
곡 93
 
1.7%
산 85
 
1.6%
자 77
 
1.4%
기 70
 
1.3%
Other values (631) 4323
79.5%
Lowercase Letter
ValueCountFrequency (%)
o 37
13.6%
t 28
 
10.3%
e 26
 
9.6%
a 22
 
8.1%
r 19
 
7.0%
n 15
 
5.5%
w 13
 
4.8%
d 13
 
4.8%
s 13
 
4.8%
i 12
 
4.4%
Other values (12) 74
27.2%
Uppercase Letter
ValueCountFrequency (%)
C 57
33.7%
A 53
31.4%
S 7
 
4.1%
T 6
 
3.6%
L 5
 
3.0%
B 5
 
3.0%
W 5
 
3.0%
N 4
 
2.4%
E 4
 
2.4%
Y 3
 
1.8%
Other values (10) 20
 
11.8%
Decimal Number
ValueCountFrequency (%)
1 250
22.4%
9 186
16.7%
0 186
16.7%
2 111
9.9%
8 83
 
7.4%
6 75
 
6.7%
7 68
 
6.1%
5 66
 
5.9%
4 50
 
4.5%
3 42
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 18
45.0%
, 10
25.0%
! 4
 
10.0%
· 2
 
5.0%
․ 2
 
5.0%
' 2
 
5.0%
# 1
 
2.5%
… 1
 
2.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
30.8%
Ⅰ 12
30.8%
Ⅲ 6
15.4%
Ⅳ 3
 
7.7%
Ⅵ 2
 
5.1%
Ⅻ 2
 
5.1%
Ⅹ 1
 
2.6%
Ⅷ 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 3
42.9%
~ 2
28.6%
> 1
 
14.3%
< 1
 
14.3%
Space Separator
ValueCountFrequency (%)
945
95.7%
  42
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5179
60.5%
Common 2647
30.9%
Latin 480
 
5.6%
Han 258
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 240
 
4.6%
무 133
 
2.6%
제 112
 
2.2%
도 110
 
2.1%
색 99
 
1.9%
는 95
 
1.8%
곡 93
 
1.8%
산 85
 
1.6%
자 77
 
1.5%
기 70
 
1.4%
Other values (474) 4065
78.5%
Han
ValueCountFrequency (%)
生 25
 
9.7%
命 21
 
8.1%
無 7
 
2.7%
山 5
 
1.9%
知 5
 
1.9%
空 5
 
1.9%
新 4
 
1.6%
故 4
 
1.6%
溫 4
 
1.6%
人 3
 
1.2%
Other values (147) 175
67.8%
Latin
ValueCountFrequency (%)
C 57
 
11.9%
A 53
 
11.0%
o 37
 
7.7%
t 28
 
5.8%
e 26
 
5.4%
a 22
 
4.6%
r 19
 
4.0%
n 15
 
3.1%
w 13
 
2.7%
d 13
 
2.7%
Other values (40) 197
41.0%
Common
ValueCountFrequency (%)
945
35.7%
- 369
 
13.9%
1 250
 
9.4%
9 186
 
7.0%
0 186
 
7.0%
2 111
 
4.2%
8 83
 
3.1%
6 75
 
2.8%
7 68
 
2.6%
5 66
 
2.5%
Other values (19) 308
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5179
60.5%
ASCII 3039
35.5%
CJK 253
 
3.0%
None 44
 
0.5%
Number Forms 39
 
0.5%
Punctuation 5
 
0.1%
CJK Compat Ideographs 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
945
31.1%
- 369
 
12.1%
1 250
 
8.2%
9 186
 
6.1%
0 186
 
6.1%
2 111
 
3.7%
8 83
 
2.7%
6 75
 
2.5%
7 68
 
2.2%
5 66
 
2.2%
Other values (56) 700
23.0%
Hangul
ValueCountFrequency (%)
의 240
 
4.6%
무 133
 
2.6%
제 112
 
2.2%
도 110
 
2.1%
색 99
 
1.9%
는 95
 
1.8%
곡 93
 
1.8%
산 85
 
1.6%
자 77
 
1.5%
기 70
 
1.4%
Other values (474) 4065
78.5%
None
ValueCountFrequency (%)
  42
95.5%
· 2
 
4.5%
CJK
ValueCountFrequency (%)
生 25
 
9.9%
命 21
 
8.3%
無 7
 
2.8%
山 5
 
2.0%
知 5
 
2.0%
空 5
 
2.0%
新 4
 
1.6%
故 4
 
1.6%
溫 4
 
1.6%
人 3
 
1.2%
Other values (142) 170
67.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
30.8%
Ⅰ 12
30.8%
Ⅲ 6
15.4%
Ⅳ 3
 
7.7%
Ⅵ 2
 
5.1%
Ⅻ 2
 
5.1%
Ⅹ 1
 
2.6%
Ⅷ 1
 
2.6%
Punctuation
ValueCountFrequency (%)
․ 2
40.0%
‘ 2
40.0%
… 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
律 1
20.0%
理 1
20.0%
樂 1
20.0%
立 1
20.0%
梨 1
20.0%

제작년도
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size11.2 KiB

규격(㎝)
Text

Distinct944
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T11:27:49.116367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length6.8037975
Min length2

Characters and Unicode

Total characters9675
Distinct characters24
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique802 ?
Unique (%)56.4%

Sample

1st row280×700
2nd row280×635
3rd row280×700
4th row55×47(×9)
5th row180×136
ValueCountFrequency (%)
20×32 24
 
1.7%
227×162 17
 
1.2%
162×130 16
 
1.1%
29.5x22 15
 
1.0%
22×32 15
 
1.0%
32×22 14
 
1.0%
130×162 14
 
1.0%
59.5×35.5 12
 
0.8%
32×23 12
 
0.8%
182×95 11
 
0.8%
Other values (940) 1279
89.5%
2024-03-14T11:27:49.515453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
× 1549
16.0%
1 1257
13.0%
2 1071
11.1%
3 935
9.7%
5 929
9.6%
0 858
8.9%
6 527
 
5.4%
4 480
 
5.0%
7 475
 
4.9%
9 468
 
4.8%
Other values (14) 1126
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7413
76.6%
Math Symbol 1549
 
16.0%
Other Punctuation 361
 
3.7%
Lowercase Letter 155
 
1.6%
Open Punctuation 92
 
1.0%
Close Punctuation 92
 
1.0%
Control 7
 
0.1%
Other Letter 3
 
< 0.1%
Space Separator 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1257
17.0%
2 1071
14.4%
3 935
12.6%
5 929
12.5%
0 858
11.6%
6 527
7.1%
4 480
 
6.5%
7 475
 
6.4%
9 468
 
6.3%
8 413
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
x 125
80.6%
c 15
 
9.7%
m 15
 
9.7%
Other Letter
ValueCountFrequency (%)
호 1
33.3%
개 1
33.3%
분 1
33.3%
Space Separator
ValueCountFrequency (%)
  1
50.0%
1
50.0%
Math Symbol
ValueCountFrequency (%)
× 1549
100.0%
Other Punctuation
ValueCountFrequency (%)
. 361
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9516
98.4%
Latin 156
 
1.6%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
× 1549
16.3%
1 1257
13.2%
2 1071
11.3%
3 935
9.8%
5 929
9.8%
0 858
9.0%
6 527
 
5.5%
4 480
 
5.0%
7 475
 
5.0%
9 468
 
4.9%
Other values (7) 967
10.2%
Latin
ValueCountFrequency (%)
x 125
80.1%
c 15
 
9.6%
m 15
 
9.6%
X 1
 
0.6%
Hangul
ValueCountFrequency (%)
호 1
33.3%
개 1
33.3%
분 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8122
83.9%
None 1550
 
16.0%
Hangul 3
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
× 1549
99.9%
  1
 
0.1%
ASCII
ValueCountFrequency (%)
1 1257
15.5%
2 1071
13.2%
3 935
11.5%
5 929
11.4%
0 858
10.6%
6 527
6.5%
4 480
 
5.9%
7 475
 
5.8%
9 468
 
5.8%
8 413
 
5.1%
Other values (9) 709
8.7%
Hangul
ValueCountFrequency (%)
호 1
33.3%
개 1
33.3%
분 1
33.3%

기법 및 재료
Text

Distinct225
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T11:27:49.754405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length6.4331927
Min length1

Characters and Unicode

Total characters9148
Distinct characters221
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)9.1%

Sample

1st row한지에 먹, 호분
2nd row광목천에 먹
3rd row장지에 수묵
4th row먹판화
5th row목판화
ValueCountFrequency (%)
종이에 418
16.2%
캔버스에 326
 
12.6%
유채 281
 
10.9%
먹 191
 
7.4%
흑백사진 118
 
4.6%
수묵담채 98
 
3.8%
아크릴릭 76
 
2.9%
수채 72
 
2.8%
판화 71
 
2.7%
혼합재료 57
 
2.2%
Other values (196) 880
34.0%
2024-03-14T11:27:50.130385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1183
 
12.9%
에 911
 
10.0%
채 524
 
5.7%
이 434
 
4.7%
종 429
 
4.7%
스 391
 
4.3%
캔 332
 
3.6%
버 331
 
3.6%
유 285
 
3.1%
수 276
 
3.0%
Other values (211) 4052
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7624
83.3%
Space Separator 1185
 
13.0%
Other Punctuation 214
 
2.3%
Lowercase Letter 102
 
1.1%
Uppercase Letter 16
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 911
 
11.9%
채 524
 
6.9%
이 434
 
5.7%
종 429
 
5.6%
스 391
 
5.1%
캔 332
 
4.4%
버 331
 
4.3%
유 285
 
3.7%
수 276
 
3.6%
먹 204
 
2.7%
Other values (174) 3507
46.0%
Lowercase Letter
ValueCountFrequency (%)
r 19
18.6%
a 13
12.7%
e 11
10.8%
i 9
8.8%
l 9
8.8%
p 7
 
6.9%
s 6
 
5.9%
o 5
 
4.9%
t 5
 
4.9%
v 5
 
4.9%
Other values (9) 13
12.7%
Uppercase Letter
ValueCountFrequency (%)
P 3
18.8%
F 2
12.5%
R 2
12.5%
S 2
12.5%
G 2
12.5%
V 1
 
6.2%
C 1
 
6.2%
D 1
 
6.2%
E 1
 
6.2%
L 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1183
99.8%
  2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7622
83.3%
Common 1406
 
15.4%
Latin 118
 
1.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 911
 
12.0%
채 524
 
6.9%
이 434
 
5.7%
종 429
 
5.6%
스 391
 
5.1%
캔 332
 
4.4%
버 331
 
4.3%
유 285
 
3.7%
수 276
 
3.6%
먹 204
 
2.7%
Other values (172) 3505
46.0%
Latin
ValueCountFrequency (%)
r 19
16.1%
a 13
11.0%
e 11
 
9.3%
i 9
 
7.6%
l 9
 
7.6%
p 7
 
5.9%
s 6
 
5.1%
o 5
 
4.2%
t 5
 
4.2%
v 5
 
4.2%
Other values (19) 29
24.6%
Common
ValueCountFrequency (%)
1183
84.1%
, 214
 
15.2%
( 2
 
0.1%
  2
 
0.1%
) 2
 
0.1%
1
 
0.1%
+ 1
 
0.1%
- 1
 
0.1%
Han
ValueCountFrequency (%)
烙 1
50.0%
畵 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7622
83.3%
ASCII 1522
 
16.6%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1183
77.7%
, 214
 
14.1%
r 19
 
1.2%
a 13
 
0.9%
e 11
 
0.7%
i 9
 
0.6%
l 9
 
0.6%
p 7
 
0.5%
s 6
 
0.4%
o 5
 
0.3%
Other values (26) 46
 
3.0%
Hangul
ValueCountFrequency (%)
에 911
 
12.0%
채 524
 
6.9%
이 434
 
5.7%
종 429
 
5.6%
스 391
 
5.1%
캔 332
 
4.4%
버 331
 
4.3%
유 285
 
3.7%
수 276
 
3.6%
먹 204
 
2.7%
Other values (172) 3505
46.0%
None
ValueCountFrequency (%)
  2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
烙 1
100.0%
CJK
ValueCountFrequency (%)
畵 1
100.0%

Interactions

2024-03-14T11:27:46.392881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:27:50.207438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호부문
번호1.0000.804
부문0.8041.000
2024-03-14T11:27:50.275191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호부문
번호1.0000.454
부문0.4541.000

Missing values

2024-03-14T11:27:46.529246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:27:46.703687image/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

번호부문작가명명제제작년도규격(㎝)기법 및 재료
01한국화김범석모악별곡2004280×700한지에 먹, 호분
12한국화조병철모악-바람2004280×635광목천에 먹
23한국화박종갑행려-구이를 바라보다2004280×700장지에 수묵
34판화홍선웅모악연작 화첩200455×47(×9)먹판화
45판화오경영숨결-어린아이 12004180×136목판화
56회화나종희들불199591×179캔버스에 유채
67조각강관욱구원 92-1199238×24×56오석
78회화김용봉가을풍경199353×65캔버스에 유채
89서예이용모악2004135×102종이에 먹
910서예여태명천지인 0409212004150×210장지에 수묵
번호부문작가명명제제작년도규격(㎝)기법 및 재료
14121413회화윤재우추과정물200553×65캔버스에 유채
14131414회화윤재우수채화 정물195666×50캔버스에 유채
14141415회화윤재우누드와상199553×73캔버스에 유채
14151416회화윤재우누드와상200153×73캔버스에 유채
14161417회화윤재우창변나부198797×130캔버스에 유채
14171418회화윤재우누드와상199041×61캔버스에 유채
14181419회화윤재우화실의 여인1997194×130캔버스에 유채
14191420회화윤재우Y씨 부인상1986145×112캔버스에 유채
14201421사진야오루이중알 수 없는 흔적Ⅳ1998100×150인화지에 흑백프린트
14211422사진야오루이중알 수 없는 흔적Ⅳ2000100×150인화지에 흑백프린트