Overview

Dataset statistics

Number of variables8
Number of observations257
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description전라남도에서 운영하는 전님도립미술관 소장품 공모구입 정보 목록으로 작품명, 작가명, 제작연도, 유형, 제작기법, 작품크기, 재료, 장르 등을 포함하고 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15105748/fileData.do

Alerts

제작연도 has 3 (1.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:04:54.581936
Analysis finished2023-12-12 23:04:55.521081
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129
Minimum1
Maximum257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T08:04:55.608944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.8
Q165
median129
Q3193
95-th percentile244.2
Maximum257
Range256
Interquartile range (IQR)128

Descriptive statistics

Standard deviation74.333707
Coefficient of variation (CV)0.57623029
Kurtosis-1.2
Mean129
Median Absolute Deviation (MAD)64
Skewness0
Sum33153
Variance5525.5
MonotonicityStrictly increasing
2023-12-13T08:04:55.750249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
194 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
Other values (247) 247
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%

관리번호
Text

Distinct256
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T08:04:56.024596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2056
Distinct characters22
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

Unique255 ?
Unique (%)99.2%

Sample

1st rowKO-00001
2nd rowKO-00002
3rd rowKO-00003
4th rowKO-00004
5th rowKO-00005
ValueCountFrequency (%)
sc-00014 2
 
0.8%
ko-00001 1
 
0.4%
pa-00124 1
 
0.4%
pa-00125 1
 
0.4%
ko-00076 1
 
0.4%
ko-00077 1
 
0.4%
ko-00078 1
 
0.4%
ko-00079 1
 
0.4%
ko-00080 1
 
0.4%
pa-00117 1
 
0.4%
Other values (246) 246
95.7%
2023-12-13T08:04:56.422041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 788
38.3%
- 257
 
12.5%
P 163
 
7.9%
A 142
 
6.9%
1 117
 
5.7%
2 74
 
3.6%
K 60
 
2.9%
O 60
 
2.9%
5 49
 
2.4%
4 48
 
2.3%
Other values (12) 298
 
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1285
62.5%
Uppercase Letter 514
 
25.0%
Dash Punctuation 257
 
12.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 163
31.7%
A 142
27.6%
K 60
 
11.7%
O 60
 
11.7%
C 19
 
3.7%
H 17
 
3.3%
S 17
 
3.3%
N 15
 
2.9%
M 15
 
2.9%
D 4
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 788
61.3%
1 117
 
9.1%
2 74
 
5.8%
5 49
 
3.8%
4 48
 
3.7%
8 47
 
3.7%
6 47
 
3.7%
3 47
 
3.7%
7 41
 
3.2%
9 27
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1542
75.0%
Latin 514
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 788
51.1%
- 257
 
16.7%
1 117
 
7.6%
2 74
 
4.8%
5 49
 
3.2%
4 48
 
3.1%
8 47
 
3.0%
6 47
 
3.0%
3 47
 
3.0%
7 41
 
2.7%
Latin
ValueCountFrequency (%)
P 163
31.7%
A 142
27.6%
K 60
 
11.7%
O 60
 
11.7%
C 19
 
3.7%
H 17
 
3.3%
S 17
 
3.3%
N 15
 
2.9%
M 15
 
2.9%
D 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 788
38.3%
- 257
 
12.5%
P 163
 
7.9%
A 142
 
6.9%
1 117
 
5.7%
2 74
 
3.6%
K 60
 
2.9%
O 60
 
2.9%
5 49
 
2.4%
4 48
 
2.3%
Other values (12) 298
 
14.5%

작가명(국문)
Text

Distinct242
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T08:04:56.649981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.5525292
Min length2

Characters and Unicode

Total characters913
Distinct characters189
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)88.7%

Sample

1st row허련
2nd row허련
3rd row허형
4th row허형
5th row허백련
ValueCountFrequency (%)
오윤 3
 
1.1%
박수룡 2
 
0.8%
송창 2
 
0.8%
임흥순 2
 
0.8%
고화흠 2
 
0.8%
박성환 2
 
0.8%
하성흡 2
 
0.8%
김창열 2
 
0.8%
허형 2
 
0.8%
정승주 2
 
0.8%
Other values (236) 240
92.0%
2023-12-13T08:04:56.958275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 41
 
4.5%
1 39
 
4.3%
9 35
 
3.8%
이 29
 
3.2%
박 29
 
3.2%
정 26
 
2.8%
영 24
 
2.6%
8 16
 
1.8%
수 15
 
1.6%
윤 14
 
1.5%
Other values (179) 645
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 764
83.7%
Decimal Number 136
 
14.9%
Space Separator 4
 
0.4%
Dash Punctuation 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 41
 
5.4%
이 29
 
3.8%
박 29
 
3.8%
정 26
 
3.4%
영 24
 
3.1%
수 15
 
2.0%
윤 14
 
1.8%
성 13
 
1.7%
조 12
 
1.6%
허 12
 
1.6%
Other values (163) 549
71.9%
Decimal Number
ValueCountFrequency (%)
1 39
28.7%
9 35
25.7%
8 16
11.8%
6 14
 
10.3%
7 9
 
6.6%
2 8
 
5.9%
4 6
 
4.4%
5 5
 
3.7%
0 3
 
2.2%
3 1
 
0.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
83.5%
Common 148
 
16.2%
Han 2
 
0.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 41
 
5.4%
이 29
 
3.8%
박 29
 
3.8%
정 26
 
3.4%
영 24
 
3.1%
수 15
 
2.0%
윤 14
 
1.8%
성 13
 
1.7%
조 12
 
1.6%
허 12
 
1.6%
Other values (161) 547
71.8%
Common
ValueCountFrequency (%)
1 39
26.4%
9 35
23.6%
8 16
10.8%
6 14
 
9.5%
7 9
 
6.1%
2 8
 
5.4%
4 6
 
4.1%
5 5
 
3.4%
4
 
2.7%
- 3
 
2.0%
Other values (5) 9
 
6.1%
Han
ValueCountFrequency (%)
松 1
50.0%
小 1
50.0%
Latin
ValueCountFrequency (%)
k 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
83.5%
ASCII 149
 
16.3%
CJK 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 41
 
5.4%
이 29
 
3.8%
박 29
 
3.8%
정 26
 
3.4%
영 24
 
3.1%
수 15
 
2.0%
윤 14
 
1.8%
성 13
 
1.7%
조 12
 
1.6%
허 12
 
1.6%
Other values (161) 547
71.8%
ASCII
ValueCountFrequency (%)
1 39
26.2%
9 35
23.5%
8 16
10.7%
6 14
 
9.4%
7 9
 
6.0%
2 8
 
5.4%
4 6
 
4.0%
5 5
 
3.4%
4
 
2.7%
- 3
 
2.0%
Other values (6) 10
 
6.7%
CJK
ValueCountFrequency (%)
松 1
50.0%
小 1
50.0%

작품명
Text

Distinct253
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T08:04:57.210190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length19
Mean length7.618677
Min length1

Characters and Unicode

Total characters1958
Distinct characters442
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique251 ?
Unique (%)97.7%

Sample

1st row대나무 8폭
2nd row소치의고 산수팔경
3rd row하경산수도
4th row사계산수도 8폭
5th row대풍(大豊)
ValueCountFrequency (%)
무제 4
 
0.9%
풍경 4
 
0.9%
시리즈 3
 
0.6%
봄 3
 
0.6%
8폭 3
 
0.6%
3 3
 
0.6%
어떤 2
 
0.4%
땅 2
 
0.4%
숲 2
 
0.4%
untitled 2
 
0.4%
Other values (428) 441
94.0%
2023-12-13T08:04:57.578664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
11.1%
의 46
 
2.3%
0 37
 
1.9%
- 34
 
1.7%
2 32
 
1.6%
1 32
 
1.6%
도 28
 
1.4%
t 23
 
1.2%
( 22
 
1.1%
산 22
 
1.1%
Other values (432) 1465
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1212
61.9%
Space Separator 217
 
11.1%
Lowercase Letter 180
 
9.2%
Decimal Number 160
 
8.2%
Uppercase Letter 62
 
3.2%
Dash Punctuation 34
 
1.7%
Other Punctuation 34
 
1.7%
Open Punctuation 22
 
1.1%
Close Punctuation 21
 
1.1%
Connector Punctuation 7
 
0.4%
Other values (2) 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 46
 
3.8%
도 28
 
2.3%
산 22
 
1.8%
다 20
 
1.7%
을 20
 
1.7%
화 17
 
1.4%
경 16
 
1.3%
무 16
 
1.3%
기 15
 
1.2%
리 15
 
1.2%
Other values (362) 997
82.3%
Lowercase Letter
ValueCountFrequency (%)
t 23
12.8%
e 19
10.6%
o 16
 
8.9%
n 16
 
8.9%
i 14
 
7.8%
l 12
 
6.7%
r 12
 
6.7%
a 11
 
6.1%
u 8
 
4.4%
s 8
 
4.4%
Other values (12) 41
22.8%
Uppercase Letter
ValueCountFrequency (%)
I 7
 
11.3%
S 5
 
8.1%
V 5
 
8.1%
A 5
 
8.1%
B 5
 
8.1%
R 4
 
6.5%
F 4
 
6.5%
M 3
 
4.8%
U 3
 
4.8%
L 3
 
4.8%
Other values (11) 18
29.0%
Decimal Number
ValueCountFrequency (%)
0 37
23.1%
2 32
20.0%
1 32
20.0%
8 13
 
8.1%
5 10
 
6.2%
3 9
 
5.6%
4 9
 
5.6%
6 8
 
5.0%
9 8
 
5.0%
7 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 16
47.1%
. 9
26.5%
# 3
 
8.8%
? 2
 
5.9%
: 1
 
2.9%
' 1
 
2.9%
! 1
 
2.9%
/ 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 3
42.9%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1169
59.7%
Common 497
25.4%
Latin 249
 
12.7%
Han 43
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 46
 
3.9%
도 28
 
2.4%
산 22
 
1.9%
다 20
 
1.7%
을 20
 
1.7%
화 17
 
1.5%
경 16
 
1.4%
무 16
 
1.4%
기 15
 
1.3%
리 15
 
1.3%
Other values (320) 954
81.6%
Latin
ValueCountFrequency (%)
t 23
 
9.2%
e 19
 
7.6%
o 16
 
6.4%
n 16
 
6.4%
i 14
 
5.6%
l 12
 
4.8%
r 12
 
4.8%
a 11
 
4.4%
u 8
 
3.2%
s 8
 
3.2%
Other values (35) 110
44.2%
Han
ValueCountFrequency (%)
春 2
 
4.7%
殿 1
 
2.3%
宮 1
 
2.3%
間 1
 
2.3%
政 1
 
2.3%
德 1
 
2.3%
鄕 1
 
2.3%
月 1
 
2.3%
五 1
 
2.3%
岳 1
 
2.3%
Other values (32) 32
74.4%
Common
ValueCountFrequency (%)
217
43.7%
0 37
 
7.4%
- 34
 
6.8%
2 32
 
6.4%
1 32
 
6.4%
( 22
 
4.4%
) 21
 
4.2%
, 16
 
3.2%
8 13
 
2.6%
5 10
 
2.0%
Other values (15) 63
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
59.7%
ASCII 739
37.7%
CJK 40
 
2.0%
Number Forms 7
 
0.4%
CJK Compat Ideographs 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
29.4%
0 37
 
5.0%
- 34
 
4.6%
2 32
 
4.3%
1 32
 
4.3%
t 23
 
3.1%
( 22
 
3.0%
) 21
 
2.8%
e 19
 
2.6%
o 16
 
2.2%
Other values (58) 286
38.7%
Hangul
ValueCountFrequency (%)
의 46
 
3.9%
도 28
 
2.4%
산 22
 
1.9%
다 20
 
1.7%
을 20
 
1.7%
화 17
 
1.5%
경 16
 
1.4%
무 16
 
1.4%
기 15
 
1.3%
리 15
 
1.3%
Other values (320) 954
81.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 3
42.9%
CJK
ValueCountFrequency (%)
春 2
 
5.0%
殿 1
 
2.5%
宮 1
 
2.5%
間 1
 
2.5%
政 1
 
2.5%
德 1
 
2.5%
鄕 1
 
2.5%
月 1
 
2.5%
五 1
 
2.5%
岳 1
 
2.5%
Other values (29) 29
72.5%
CJK Compat Ideographs
ValueCountFrequency (%)
靈 1
33.3%
樓 1
33.3%
流 1
33.3%

제작연도
Text

MISSING 

Distinct62
Distinct (%)24.4%
Missing3
Missing (%)1.2%
Memory size2.1 KiB
2023-12-13T08:04:57.767187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.015748
Min length1

Characters and Unicode

Total characters1020
Distinct characters17
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

Unique24 ?
Unique (%)9.4%

Sample

1st row1866
2nd row1928
3rd row1912~1921
4th row1964
5th row1962
ValueCountFrequency (%)
2019 26
 
10.3%
2018 26
 
10.3%
2021 20
 
7.9%
2014 14
 
5.5%
2020 12
 
4.7%
2016 12
 
4.7%
2017 9
 
3.6%
2015 8
 
3.2%
2022 7
 
2.8%
1990 6
 
2.4%
Other values (51) 113
44.7%
2023-12-13T08:04:58.133610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 232
22.7%
0 226
22.2%
1 222
21.8%
9 138
13.5%
8 66
 
6.5%
6 37
 
3.6%
7 27
 
2.6%
4 22
 
2.2%
5 18
 
1.8%
3 12
 
1.2%
Other values (7) 20
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
98.0%
Other Letter 16
 
1.6%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 232
23.2%
0 226
22.6%
1 222
22.2%
9 138
13.8%
8 66
 
6.6%
6 37
 
3.7%
7 27
 
2.7%
4 22
 
2.2%
5 18
 
1.8%
3 12
 
1.2%
Other Letter
ValueCountFrequency (%)
미 6
37.5%
상 6
37.5%
년 2
 
12.5%
대 2
 
12.5%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
98.4%
Hangul 16
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 232
23.1%
0 226
22.5%
1 222
22.1%
9 138
13.7%
8 66
 
6.6%
6 37
 
3.7%
7 27
 
2.7%
4 22
 
2.2%
5 18
 
1.8%
3 12
 
1.2%
Other values (3) 4
 
0.4%
Hangul
ValueCountFrequency (%)
미 6
37.5%
상 6
37.5%
년 2
 
12.5%
대 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1004
98.4%
Hangul 16
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 232
23.1%
0 226
22.5%
1 222
22.1%
9 138
13.7%
8 66
 
6.6%
6 37
 
3.7%
7 27
 
2.7%
4 22
 
2.2%
5 18
 
1.8%
3 12
 
1.2%
Other values (3) 4
 
0.4%
Hangul
ValueCountFrequency (%)
미 6
37.5%
상 6
37.5%
년 2
 
12.5%
대 2
 
12.5%

사이즈(센티미터)
Text

Distinct218
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T08:04:58.475915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length9.4980545
Min length3

Characters and Unicode

Total characters2441
Distinct characters77
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

Unique200 ?
Unique (%)77.8%

Sample

1st row60.5x31.5
2nd row133.8x33.7(8폭)
3rd row33x208
4th row147x42(8폭)
5th row32x127.5
ValueCountFrequency (%)
162.2x130.3 9
 
2.8%
에디션 7
 
2.1%
130.3x162.2 7
 
2.1%
145.5x112.1 6
 
1.8%
162x130 5
 
1.5%
각 4
 
1.2%
162x112 3
 
0.9%
162x260 3
 
0.9%
112.1x162.2 3
 
0.9%
162x130.3 3
 
0.9%
Other values (261) 277
84.7%
2023-12-13T08:04:58.963859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 428
17.5%
2 296
12.1%
x 290
11.9%
0 255
10.4%
3 179
7.3%
. 137
 
5.6%
5 135
 
5.5%
6 125
 
5.1%
4 101
 
4.1%
7 75
 
3.1%
Other values (67) 420
17.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1733
71.0%
Lowercase Letter 331
 
13.6%
Other Punctuation 152
 
6.2%
Other Letter 104
 
4.3%
Space Separator 74
 
3.0%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Uppercase Letter 8
 
0.3%
Connector Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 9
 
8.7%
분 9
 
8.7%
디 8
 
7.7%
션 7
 
6.7%
점 7
 
6.7%
에 7
 
6.7%
포 5
 
4.8%
함 5
 
4.8%
각 5
 
4.8%
폭 4
 
3.8%
Other values (31) 38
36.5%
Lowercase Letter
ValueCountFrequency (%)
x 290
87.6%
p 7
 
2.1%
c 6
 
1.8%
e 6
 
1.8%
s 5
 
1.5%
d 4
 
1.2%
l 3
 
0.9%
g 3
 
0.9%
k 3
 
0.9%
h 1
 
0.3%
Other values (3) 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 428
24.7%
2 296
17.1%
0 255
14.7%
3 179
10.3%
5 135
 
7.8%
6 125
 
7.2%
4 101
 
5.8%
7 75
 
4.3%
8 70
 
4.0%
9 69
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
P 2
25.0%
F 2
25.0%
H 1
12.5%
D 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 137
90.1%
, 10
 
6.6%
/ 4
 
2.6%
: 1
 
0.7%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1998
81.9%
Latin 339
 
13.9%
Hangul 104
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 9
 
8.7%
분 9
 
8.7%
디 8
 
7.7%
션 7
 
6.7%
점 7
 
6.7%
에 7
 
6.7%
포 5
 
4.8%
함 5
 
4.8%
각 5
 
4.8%
폭 4
 
3.8%
Other values (31) 38
36.5%
Common
ValueCountFrequency (%)
1 428
21.4%
2 296
14.8%
0 255
12.8%
3 179
9.0%
. 137
 
6.9%
5 135
 
6.8%
6 125
 
6.3%
4 101
 
5.1%
7 75
 
3.8%
74
 
3.7%
Other values (8) 193
9.7%
Latin
ValueCountFrequency (%)
x 290
85.5%
p 7
 
2.1%
c 6
 
1.8%
e 6
 
1.8%
s 5
 
1.5%
d 4
 
1.2%
l 3
 
0.9%
g 3
 
0.9%
k 3
 
0.9%
A 2
 
0.6%
Other values (8) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2337
95.7%
Hangul 103
 
4.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 428
18.3%
2 296
12.7%
x 290
12.4%
0 255
10.9%
3 179
7.7%
. 137
 
5.9%
5 135
 
5.8%
6 125
 
5.3%
4 101
 
4.3%
7 75
 
3.2%
Other values (26) 316
13.5%
Hangul
ValueCountFrequency (%)
초 9
 
8.7%
분 9
 
8.7%
디 8
 
7.8%
션 7
 
6.8%
점 7
 
6.8%
에 7
 
6.8%
포 5
 
4.9%
함 5
 
4.9%
각 5
 
4.9%
폭 4
 
3.9%
Other values (30) 37
35.9%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
100.0%

재료(국문)
Text

Distinct127
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T08:04:59.298951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length10.459144
Min length1

Characters and Unicode

Total characters2688
Distinct characters267
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)41.2%

Sample

1st row종이에 수묵
2nd row비단에 수묵 담채
3rd row비단에 수묵 담채
4th row비단에 수묵 담채
5th row종이에 수묵 담채
ValueCountFrequency (%)
캔버스에 114
 
16.7%
유채 75
 
11.0%
종이에 32
 
4.7%
아크릴릭 23
 
3.4%
수묵담채 22
 
3.2%
혼합재료 20
 
2.9%
수묵 19
 
2.8%
아크릴 18
 
2.6%
한지에 18
 
2.6%
채색 13
 
1.9%
Other values (206) 328
48.1%
2023-12-13T08:04:59.765609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
16.1%
에 216
 
8.0%
채 146
 
5.4%
스 134
 
5.0%
버 120
 
4.5%
캔 119
 
4.4%
, 81
 
3.0%
유 79
 
2.9%
크 54
 
2.0%
수 52
 
1.9%
Other values (257) 1255
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2071
77.0%
Space Separator 432
 
16.1%
Other Punctuation 88
 
3.3%
Uppercase Letter 28
 
1.0%
Decimal Number 26
 
1.0%
Lowercase Letter 20
 
0.7%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Other Number 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 216
 
10.4%
채 146
 
7.0%
스 134
 
6.5%
버 120
 
5.8%
캔 119
 
5.7%
유 79
 
3.8%
크 54
 
2.6%
수 52
 
2.5%
아 52
 
2.5%
지 49
 
2.4%
Other values (217) 1050
50.7%
Uppercase Letter
ValueCountFrequency (%)
D 6
21.4%
E 5
17.9%
L 5
17.9%
C 4
14.3%
V 2
 
7.1%
P 2
 
7.1%
F 2
 
7.1%
R 1
 
3.6%
T 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 5
19.2%
6 5
19.2%
1 4
15.4%
5 3
11.5%
3 3
11.5%
9 2
 
7.7%
4 2
 
7.7%
8 1
 
3.8%
0 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
i 4
20.0%
r 3
15.0%
t 3
15.0%
p 3
15.0%
n 2
10.0%
m 2
10.0%
g 1
 
5.0%
l 1
 
5.0%
a 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 81
92.0%
. 3
 
3.4%
: 3
 
3.4%
/ 1
 
1.1%
Other Number
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%
Space Separator
ValueCountFrequency (%)
432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2071
77.0%
Common 569
 
21.2%
Latin 48
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 216
 
10.4%
채 146
 
7.0%
스 134
 
6.5%
버 120
 
5.8%
캔 119
 
5.7%
유 79
 
3.8%
크 54
 
2.6%
수 52
 
2.5%
아 52
 
2.5%
지 49
 
2.4%
Other values (217) 1050
50.7%
Common
ValueCountFrequency (%)
432
75.9%
, 81
 
14.2%
( 8
 
1.4%
) 8
 
1.4%
2 5
 
0.9%
6 5
 
0.9%
1 4
 
0.7%
5 3
 
0.5%
3 3
 
0.5%
. 3
 
0.5%
Other values (12) 17
 
3.0%
Latin
ValueCountFrequency (%)
D 6
12.5%
E 5
10.4%
L 5
10.4%
i 4
 
8.3%
C 4
 
8.3%
r 3
 
6.2%
t 3
 
6.2%
p 3
 
6.2%
n 2
 
4.2%
m 2
 
4.2%
Other values (8) 11
22.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2071
77.0%
ASCII 613
 
22.8%
Enclosed Alphanum 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
70.5%
, 81
 
13.2%
( 8
 
1.3%
) 8
 
1.3%
D 6
 
1.0%
E 5
 
0.8%
2 5
 
0.8%
6 5
 
0.8%
L 5
 
0.8%
1 4
 
0.7%
Other values (26) 54
 
8.8%
Hangul
ValueCountFrequency (%)
에 216
 
10.4%
채 146
 
7.0%
스 134
 
6.5%
버 120
 
5.8%
캔 119
 
5.7%
유 79
 
3.8%
크 54
 
2.6%
수 52
 
2.5%
아 52
 
2.5%
지 49
 
2.4%
Other values (217) 1050
50.7%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%

장르
Categorical

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
회화
143 
한국화
59 
사진
17 
조각
16 
미디어
 
9
Other values (7)
 
13

Length

Max length4
Median length2
Mean length2.3190661
Min length2

Unique

Unique4 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
회화 143
55.6%
한국화 59
23.0%
사진 17
 
6.6%
조각 16
 
6.2%
미디어 9
 
3.5%
뉴미디어 5
 
1.9%
판화 2
 
0.8%
공예 2
 
0.8%
스케치 1
 
0.4%
설치 1
 
0.4%
Other values (2) 2
 
0.8%

Length

2023-12-13T08:04:59.923563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회화 143
55.6%
한국화 59
23.0%
사진 17
 
6.6%
조각 17
 
6.6%
미디어 9
 
3.5%
뉴미디어 5
 
1.9%
판화 2
 
0.8%
공예 2
 
0.8%
스케치 1
 
0.4%
설치 1
 
0.4%

Interactions

2023-12-13T08:04:55.205468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:05:00.056139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제작연도장르
연번1.0000.5840.432
제작연도0.5841.0000.000
장르0.4320.0001.000
2023-12-13T08:05:00.445382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장르
연번1.0000.196
장르0.1961.000

Missing values

2023-12-13T08:04:55.318554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:04:55.451395image/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)작품명제작연도사이즈(센티미터)재료(국문)장르
01KO-00001허련대나무 8폭<NA>60.5x31.5종이에 수묵한국화
12KO-00002허련소치의고 산수팔경1866133.8x33.7(8폭)비단에 수묵 담채한국화
23KO-00003허형하경산수도192833x208비단에 수묵 담채한국화
34KO-00004허형사계산수도 8폭1912~1921147x42(8폭)비단에 수묵 담채한국화
45KO-00005허백련대풍(大豊)<NA>32x127.5종이에 수묵 담채한국화
56KO-00006허백련매창화농1964125x128비단에 수묵담채한국화
67KO-00007허행면사계군방도1962123.5x295종이에 수묵 담채한국화
78KO-00008이종원금강산 10경1941117.5x33(10폭)비단에 수묵담채한국화
89KO-00009허규강변산수도미상127x124종이에 수묵 담채한국화
910KO-00010김정현목포뒷개1960127x150종이에 수묵 담채한국화
연번관리번호작가명(국문)작품명제작연도사이즈(센티미터)재료(국문)장르
247248PA-00259이형우도성마을2023130.3x162.2캔버스에 유채회화
248249PA-00260서영기상대적 풍경?202097x145.5캔버스에 유채회화
249250SC-00021서도호스토브, 아파트 A, 뉴욕 웨스트 22번가 348번지, 뉴욕 10011, 미국2013106.4x52.1 x65.4188.3x91.8x88.9 (유리 진열장 포함)폴리에스테르 천, 스테인리스 철사, 유리 진열장, LED 조명조각
250251PH-00022구성연사탕시리즈R.01+022013각 120x60 2점 세트라이트젯 C-프린트사진
251252CR-00002윤지선누더기 얼굴#180092018169.5x130사진과 면 천 위에 재봉틀로 바느질공예
252253NM-00022안정주열번의 총성20138분 56초 루프①싱크된 6채널 비디오 ②컬러③2.1채널 사운드 ④브라이트사인 6개, 프로젝터 6대, 스피커 1조뉴미디어
253254PA-00261이민Y-434번지202060x180캔버스에 아크릴회화
254255PA-00262박인선뿌리 시리즈 04201623상캔버스에 아크릴, 혼합재료회화
255256PA-00263류재웅월출산,장군봉의 봄201980x200캔버스에 유채회화
256257SC-00022유지원중첩된 공간2022280x140x110혼합 재료조각