Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells100
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory59.3 B

Variable types

Numeric1
Categorical2
Text2
Unsupported2

Dataset

Description국립현대미술관 소장품 중 저작권만료 작품 목록
Author문화체육관광부 국립현대미술관
URLhttps://www.data.go.kr/data/15064140/fileData.do

Alerts

이미지 has 100 (100.0%) missing valuesMissing
No. has unique valuesUnique
제작연도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이미지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 05:57:35.348925
Analysis finished2023-12-12 05:57:36.414520
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No.
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:57:36.506432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-12T14:57:36.677604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

작가명
Categorical

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
이중섭
11 
서진달
11 
이용우
7 
황술조
 
5
김용주
 
5
Other values (29)
61 

Length

Max length3
Median length3
Mean length2.95
Min length2

Unique

Unique13 ?
Unique (%)13.0%

Sample

1st row이중섭
2nd row이중섭
3rd row윤승욱
4th row윤승욱
5th row김종태

Common Values

ValueCountFrequency (%)
이중섭 11
 
11.0%
서진달 11
 
11.0%
이용우 7
 
7.0%
황술조 5
 
5.0%
김용주 5
 
5.0%
이도영 4
 
4.0%
채용신 4
 
4.0%
함대정 4
 
4.0%
이제창 4
 
4.0%
김중현 4
 
4.0%
Other values (24) 41
41.0%

Length

2023-12-12T14:57:36.870459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이중섭 11
 
11.0%
서진달 11
 
11.0%
이용우 7
 
7.0%
황술조 5
 
5.0%
김용주 5
 
5.0%
이도영 4
 
4.0%
채용신 4
 
4.0%
함대정 4
 
4.0%
이제창 4
 
4.0%
김규진 4
 
4.0%
Other values (24) 41
41.0%

작품명(한글)
Text

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T14:57:37.138880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length4.13
Min length1

Characters and Unicode

Total characters413
Distinct characters160
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)77.0%

Sample

1st row투계
2nd row부부
3rd row피리부는 소녀
4th row피리부는 소녀
5th row노란저고리
ValueCountFrequency (%)
정물 6
 
4.5%
소녀 4
 
3.0%
춘경산수 3
 
2.3%
산수 3
 
2.3%
나부 3
 
2.3%
숲 2
 
1.5%
마을 2
 
1.5%
여인 2
 
1.5%
물고기와 2
 
1.5%
초상화 2
 
1.5%
Other values (95) 103
78.0%
2023-12-12T14:57:38.056397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
7.7%
도 11
 
2.7%
경 11
 
2.7%
산 11
 
2.7%
소 10
 
2.4%
물 10
 
2.4%
수 9
 
2.2%
정 9
 
2.2%
부 9
 
2.2%
( 8
 
1.9%
Other values (150) 293
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
86.2%
Space Separator 32
 
7.7%
Open Punctuation 8
 
1.9%
Close Punctuation 8
 
1.9%
Decimal Number 5
 
1.2%
Uppercase Letter 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 11
 
3.1%
경 11
 
3.1%
산 11
 
3.1%
소 10
 
2.8%
물 10
 
2.8%
수 9
 
2.5%
정 9
 
2.5%
부 9
 
2.5%
화 7
 
2.0%
상 6
 
1.7%
Other values (141) 263
73.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 1
20.0%
2 1
20.0%
0 1
20.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
85.2%
Common 54
 
13.1%
Han 4
 
1.0%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 11
 
3.1%
경 11
 
3.1%
산 11
 
3.1%
소 10
 
2.8%
물 10
 
2.8%
수 9
 
2.6%
정 9
 
2.6%
부 9
 
2.6%
화 7
 
2.0%
상 6
 
1.7%
Other values (137) 259
73.6%
Common
ValueCountFrequency (%)
32
59.3%
( 8
 
14.8%
) 8
 
14.8%
1 2
 
3.7%
8 1
 
1.9%
2 1
 
1.9%
, 1
 
1.9%
0 1
 
1.9%
Han
ValueCountFrequency (%)
陽 1
25.0%
春 1
25.0%
沼 1
25.0%
趐 1
25.0%
Latin
ValueCountFrequency (%)
I 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
85.2%
ASCII 57
 
13.8%
CJK 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
56.1%
( 8
 
14.0%
) 8
 
14.0%
I 3
 
5.3%
1 2
 
3.5%
8 1
 
1.8%
2 1
 
1.8%
, 1
 
1.8%
0 1
 
1.8%
Hangul
ValueCountFrequency (%)
도 11
 
3.1%
경 11
 
3.1%
산 11
 
3.1%
소 10
 
2.8%
물 10
 
2.8%
수 9
 
2.6%
정 9
 
2.6%
부 9
 
2.6%
화 7
 
2.0%
상 6
 
1.7%
Other values (137) 259
73.6%
CJK
ValueCountFrequency (%)
陽 1
25.0%
春 1
25.0%
沼 1
25.0%
趐 1
25.0%

제작연도
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size932.0 B

재료/기법(한글)
Categorical

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
캔버스에 유채
27 
종이에 수묵담채
12 
비단에 수묵담채
10 
종이에 수채
9 
종이에 연필
4 
Other values (26)
38 

Length

Max length15
Median length14
Mean length7.47
Min length2

Unique

Unique19 ?
Unique (%)19.0%

Sample

1st row카드보드에 유채
2nd row종이에 유채
3rd row석고에 채색 (대좌-철)
4th row청동
5th row캔버스에 유채

Common Values

ValueCountFrequency (%)
캔버스에 유채 27
27.0%
종이에 수묵담채 12
12.0%
비단에 수묵담채 10
 
10.0%
종이에 수채 9
 
9.0%
종이에 연필 4
 
4.0%
종이에 수묵 4
 
4.0%
종이에 채색 3
 
3.0%
나무판에 유채 3
 
3.0%
종이에 먹 3
 
3.0%
한지에 먹, 펜 2
 
2.0%
Other values (21) 23
23.0%

Length

2023-12-12T14:57:38.254364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종이에 42
19.4%
유채 38
17.6%
캔버스에 27
12.5%
수묵담채 24
11.1%
비단에 14
 
6.5%
수채 9
 
4.2%
채색 7
 
3.2%
수묵 6
 
2.8%
먹 6
 
2.8%
연필 5
 
2.3%
Other values (27) 38
17.6%

규격
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T14:57:38.625272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length13
Mean length8.34
Min length4

Characters and Unicode

Total characters834
Distinct characters17
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

Unique91 ?
Unique (%)91.0%

Sample

1st row28.5×40.5
2nd row40×28
3rd row150×33×35
4th row156×65×35
5th row52×44
ValueCountFrequency (%)
29×37.2 3
 
2.8%
135×34 2
 
1.9%
23.7×27 2
 
1.9%
152×40 2
 
1.9%
15.5×25.5 1
 
0.9%
132×31 1
 
0.9%
155×52.5 1
 
0.9%
107×28×(2 1
 
0.9%
59×71.5 1
 
0.9%
130×34×(8 1
 
0.9%
Other values (93) 93
86.1%
2023-12-12T14:57:39.209052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
× 111
13.3%
5 101
12.1%
. 95
11.4%
1 92
11.0%
2 84
10.1%
3 79
9.5%
4 58
7.0%
8 39
 
4.7%
7 36
 
4.3%
0 35
 
4.2%
Other values (7) 104
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 588
70.5%
Math Symbol 111
 
13.3%
Other Punctuation 103
 
12.4%
Open Punctuation 8
 
1.0%
Close Punctuation 8
 
1.0%
Lowercase Letter 8
 
1.0%
Space Separator 8
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 101
17.2%
1 92
15.6%
2 84
14.3%
3 79
13.4%
4 58
9.9%
8 39
 
6.6%
7 36
 
6.1%
0 35
 
6.0%
6 34
 
5.8%
9 30
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 95
92.2%
, 8
 
7.8%
Math Symbol
ValueCountFrequency (%)
× 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 826
99.0%
Latin 8
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
× 111
13.4%
5 101
12.2%
. 95
11.5%
1 92
11.1%
2 84
10.2%
3 79
9.6%
4 58
7.0%
8 39
 
4.7%
7 36
 
4.4%
0 35
 
4.2%
Other values (6) 96
11.6%
Latin
ValueCountFrequency (%)
x 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 723
86.7%
None 111
 
13.3%

Most frequent character per block

None
ValueCountFrequency (%)
× 111
100.0%
ASCII
ValueCountFrequency (%)
5 101
14.0%
. 95
13.1%
1 92
12.7%
2 84
11.6%
3 79
10.9%
4 58
8.0%
8 39
 
5.4%
7 36
 
5.0%
0 35
 
4.8%
6 34
 
4.7%
Other values (6) 70
9.7%

이미지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

Interactions

2023-12-12T14:57:36.016841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:57:39.355887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.작가명작품명(한글)재료/기법(한글)규격
No.1.0000.8060.8760.7320.988
작가명0.8061.0000.0000.8441.000
작품명(한글)0.8760.0001.0000.9800.993
재료/기법(한글)0.7320.8440.9801.0001.000
규격0.9881.0000.9931.0001.000
2023-12-12T14:57:39.485720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작가명재료/기법(한글)
작가명1.0000.318
재료/기법(한글)0.3181.000
2023-12-12T14:57:39.598217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.작가명재료/기법(한글)
No.1.0000.3730.309
작가명0.3731.0000.318
재료/기법(한글)0.3090.3181.000

Missing values

2023-12-12T14:57:36.175250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:57:36.366759image/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

No.작가명작품명(한글)제작연도재료/기법(한글)규격이미지
01이중섭투계1955카드보드에 유채28.5×40.5<NA>
12이중섭부부1953종이에 유채40×28<NA>
23윤승욱피리부는 소녀1937석고에 채색 (대좌-철)150×33×35<NA>
34윤승욱피리부는 소녀1937청동156×65×35<NA>
45김종태노란저고리1929캔버스에 유채52×44<NA>
56김중현무녀도1941합판, 비단에 유채41×49<NA>
67황술조창측의 정물1925캔버스에 유채85×65<NA>
78황술조나부미상캔버스에 유채58×60<NA>
89김중현정동풍경1948캔버스에 유채37.7×44<NA>
910서진달나부1937캔버스에 유채71×51<NA>
No.작가명작품명(한글)제작연도재료/기법(한글)규격이미지
9091김종태석모 주암산1935캔버스에 유채38.3×46<NA>
9192김종찬토담집1939캔버스에 유채61×73<NA>
9293김종찬연1941캔버스에 유채33×46<NA>
9394채용신면암 최익현 초상1925비단에 채색; 족자101.4×52<NA>
9495채용신고종황제어진1920비단에 채색33×46.2<NA>
9596이중섭세 사람1943-1945종이에 연필18.3×27.7<NA>
9697이중섭소년1943-1945종이에 연필26.2×18.3<NA>
9798이중섭정릉 풍경1956종이에 연필, 크레용, 유채43.5×29.3<NA>
9899권진호소녀1942캔버스에 유채113.5×87.7<NA>
99100함대정첼로키는 여인1959캔버스에 유채89.5×56.5<NA>