Overview

Dataset statistics

Number of variables5
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory42.9 B

Variable types

Categorical3
Text2

Dataset

Description전라남도 문화재위원회(담당분과, 전공분야, 성명, 위촉시점, 해촉시점) 정보 및 현황에 대해 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15042524/fileData.do

Alerts

위촉시점 has constant value ""Constant
해촉시점 has constant value ""Constant

Reproduction

Analysis started2023-12-12 12:40:06.805698
Analysis finished2023-12-12 12:40:07.113607
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

담당분과
Categorical

Distinct14
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
(3분과) 무형문화재, 민속문화재,(가옥 제외)
14 
(1분과)건축, 사적, 가옥, 분야
10 
(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)
10 
(3분과)동산, 문화재 (전적, 회화, 조각, 공예품 등)
 
1
(4분과)동산, 문화재 (전적, 회화, 조각, 공예품 등)
 
1
Other values (9)
9 

Length

Max length33
Median length32
Mean length26.888889
Min length19

Unique

Unique11 ?
Unique (%)24.4%

Sample

1st row(1분과)건축, 사적, 가옥, 분야
2nd row(1분과)건축, 사적, 가옥, 분야
3rd row(1분과)건축, 사적, 가옥, 분야
4th row(1분과)건축, 사적, 가옥, 분야
5th row(1분과)건축, 사적, 가옥, 분야

Common Values

ValueCountFrequency (%)
(3분과) 무형문화재, 민속문화재,(가옥 제외) 14
31.1%
(1분과)건축, 사적, 가옥, 분야 10
22.2%
(4분과) 자연문화재 (동물, 식물, 지질, 경관 등) 10
22.2%
(3분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(4분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(5분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(6분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(7분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(8분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
(9분과)동산, 문화재 (전적, 회화, 조각, 공예품 등) 1
 
2.2%
Other values (4) 4
 
8.9%

Length

2023-12-12T21:40:07.175572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등 21
 
8.6%
3분과 14
 
5.8%
민속문화재,(가옥 14
 
5.8%
제외 14
 
5.8%
무형문화재 14
 
5.8%
공예품 11
 
4.5%
조각 11
 
4.5%
회화 11
 
4.5%
전적 11
 
4.5%
문화재 11
 
4.5%
Other values (21) 111
45.7%

전공분야
Text

Distinct28
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T21:40:07.326769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.7111111
Min length2

Characters and Unicode

Total characters122
Distinct characters46
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)44.4%

Sample

1st row건축
2nd row건축
3rd row건축
4th row역사
5th row고고학
ValueCountFrequency (%)
건축 5
 
11.1%
조경 5
 
11.1%
국악 4
 
8.9%
역사 3
 
6.7%
유산관리 2
 
4.4%
공예 2
 
4.4%
고고미술 2
 
4.4%
불교미술 2
 
4.4%
기악 1
 
2.2%
식물 1
 
2.2%
Other values (18) 18
40.0%
2023-12-12T21:40:07.626163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 9
 
7.4%
조 6
 
4.9%
악 6
 
4.9%
사 6
 
4.9%
건 5
 
4.1%
축 5
 
4.1%
교 5
 
4.1%
술 5
 
4.1%
미 5
 
4.1%
불 5
 
4.1%
Other values (36) 65
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
98.4%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 9
 
7.5%
조 6
 
5.0%
악 6
 
5.0%
사 6
 
5.0%
건 5
 
4.2%
축 5
 
4.2%
교 5
 
4.2%
술 5
 
4.2%
미 5
 
4.2%
불 5
 
4.2%
Other values (34) 63
52.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
98.4%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 9
 
7.5%
조 6
 
5.0%
악 6
 
5.0%
사 6
 
5.0%
건 5
 
4.2%
축 5
 
4.2%
교 5
 
4.2%
술 5
 
4.2%
미 5
 
4.2%
불 5
 
4.2%
Other values (34) 63
52.5%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
98.4%
ASCII 2
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 9
 
7.5%
조 6
 
5.0%
악 6
 
5.0%
사 6
 
5.0%
건 5
 
4.2%
축 5
 
4.2%
교 5
 
4.2%
술 5
 
4.2%
미 5
 
4.2%
불 5
 
4.2%
Other values (34) 63
52.5%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

성명
Text

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T21:40:07.826302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9555556
Min length5

Characters and Unicode

Total characters268
Distinct characters74
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)77.8%

Sample

1st row박강철(남)
2nd row김지민(남)
3rd row남호현(남)
4th row홍영기(남)
5th row성낙준(남)
ValueCountFrequency (%)
박강철(남 2
 
4.3%
김희우(남 2
 
4.3%
안용섭(남 2
 
4.3%
배현미(여 2
 
4.3%
김희태(남 2
 
4.3%
조성남(남 1
 
2.2%
이두표(남 1
 
2.2%
허 1
 
2.2%
민(남 1
 
2.2%
이정(여 1
 
2.2%
Other values (31) 31
67.4%
2023-12-12T21:40:08.184427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 45
16.8%
) 45
16.8%
남 30
 
11.2%
여 17
 
6.3%
김 8
 
3.0%
희 6
 
2.2%
영 6
 
2.2%
현 5
 
1.9%
이 5
 
1.9%
미 4
 
1.5%
Other values (64) 97
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
66.0%
Open Punctuation 45
 
16.8%
Close Punctuation 45
 
16.8%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 30
 
16.9%
여 17
 
9.6%
김 8
 
4.5%
희 6
 
3.4%
영 6
 
3.4%
현 5
 
2.8%
이 5
 
2.8%
미 4
 
2.3%
성 4
 
2.3%
박 3
 
1.7%
Other values (61) 89
50.3%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
66.0%
Common 91
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 30
 
16.9%
여 17
 
9.6%
김 8
 
4.5%
희 6
 
3.4%
영 6
 
3.4%
현 5
 
2.8%
이 5
 
2.8%
미 4
 
2.3%
성 4
 
2.3%
박 3
 
1.7%
Other values (61) 89
50.3%
Common
ValueCountFrequency (%)
( 45
49.5%
) 45
49.5%
1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
66.0%
ASCII 91
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 45
49.5%
) 45
49.5%
1
 
1.1%
Hangul
ValueCountFrequency (%)
남 30
 
16.9%
여 17
 
9.6%
김 8
 
4.5%
희 6
 
3.4%
영 6
 
3.4%
현 5
 
2.8%
이 5
 
2.8%
미 4
 
2.3%
성 4
 
2.3%
박 3
 
1.7%
Other values (61) 89
50.3%

위촉시점
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-01-02
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-02
2nd row2023-01-02
3rd row2023-01-02
4th row2023-01-02
5th row2023-01-02

Common Values

ValueCountFrequency (%)
2023-01-02 45
100.0%

Length

2023-12-12T21:40:08.372683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:08.483248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-02 45
100.0%

해촉시점
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-12-31
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-12-31
2nd row2024-12-31
3rd row2024-12-31
4th row2024-12-31
5th row2024-12-31

Common Values

ValueCountFrequency (%)
2024-12-31 45
100.0%

Length

2023-12-12T21:40:08.583933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:08.679569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-12-31 45
100.0%

Correlations

2023-12-12T21:40:08.744832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당분과전공분야성명
담당분과1.0000.9540.952
전공분야0.9541.0001.000
성명0.9521.0001.000

Missing values

2023-12-12T21:40:06.984007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:40:07.077312image/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

담당분과전공분야성명위촉시점해촉시점
0(1분과)건축, 사적, 가옥, 분야건축박강철(남)2023-01-022024-12-31
1(1분과)건축, 사적, 가옥, 분야건축김지민(남)2023-01-022024-12-31
2(1분과)건축, 사적, 가옥, 분야건축남호현(남)2023-01-022024-12-31
3(1분과)건축, 사적, 가옥, 분야역사홍영기(남)2023-01-022024-12-31
4(1분과)건축, 사적, 가옥, 분야고고학성낙준(남)2023-01-022024-12-31
5(1분과)건축, 사적, 가옥, 분야건축최미라(여)2023-01-022024-12-31
6(1분과)건축, 사적, 가옥, 분야고고유물이영문(남)2023-01-022024-12-31
7(1분과)건축, 사적, 가옥, 분야조경배현미(여)2023-01-022024-12-31
8(1분과)건축, 사적, 가옥, 분야조경김희우(남)2023-01-022024-12-31
9(1분과)건축, 사적, 가옥, 분야역사김희태(남)2023-01-022024-12-31
담당분과전공분야성명위촉시점해촉시점
35(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)지질화석허 민(남)2023-01-022024-12-31
36(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)동물(조류)이두표(남)2023-01-022024-12-31
37(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)조경김희우(남)2023-01-022024-12-31
38(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)조경이정(여)2023-01-022024-12-31
39(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)지질윤석태(남)2023-01-022024-12-31
40(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)유산관리안용섭(남)2023-01-022024-12-31
41(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)식물정영희(여)2023-01-022024-12-31
42(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)재난안전송창영(남)2023-01-022024-12-31
43(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)건축박강철(남)2023-01-022024-12-31
44(4분과) 자연문화재 (동물, 식물, 지질, 경관 등)조경배현미(여)2023-01-022024-12-31