Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells4
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory69.1 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description부산광역시 영도구 문화재 현황(지정구분, 종별, 분야, 지정번호, 명칭, 지정일자 등)에 대한 정보를 제공하고 있습니다.
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15053274/fileData.do

Alerts

지정구분 is highly overall correlated with 종별 and 1 other fieldsHigh correlation
종별 is highly overall correlated with 지정구분 and 1 other fieldsHigh correlation
소유자 is highly overall correlated with 지정구분 and 1 other fieldsHigh correlation
지정구분 is highly imbalanced (53.0%)Imbalance
분야 has 2 (7.7%) missing valuesMissing
제작연도 has 2 (7.7%) missing valuesMissing
관리(지정)번호 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:41:34.192857
Analysis finished2023-12-12 08:41:35.251321
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
시지정
22 
국가지정
3 
시등록
 
1

Length

Max length4
Median length3
Mean length3.1153846
Min length3

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row국가지정
2nd row국가지정
3rd row국가지정
4th row시지정
5th row시지정

Common Values

ValueCountFrequency (%)
시지정 22
84.6%
국가지정 3
 
11.5%
시등록 1
 
3.8%

Length

2023-12-12T17:41:35.335179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:35.451051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시지정 22
84.6%
국가지정 3
 
11.5%
시등록 1
 
3.8%

종별
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
문화재자료
10 
유형문화재
8 
민속문화재
3 
사적
 
1
명승
 
1
Other values (3)
3 

Length

Max length5
Median length5
Mean length4.5769231
Min length2

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row사적
2nd row명승
3rd row보물
4th row유형문화재
5th row유형문화재

Common Values

ValueCountFrequency (%)
문화재자료 10
38.5%
유형문화재 8
30.8%
민속문화재 3
 
11.5%
사적 1
 
3.8%
명승 1
 
3.8%
보물 1
 
3.8%
기 념 물 1
 
3.8%
문화재 1
 
3.8%

Length

2023-12-12T17:41:35.582915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:35.721664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화재자료 10
35.7%
유형문화재 8
28.6%
민속문화재 3
 
10.7%
사적 1
 
3.6%
명승 1
 
3.6%
보물 1
 
3.6%
기 1
 
3.6%
념 1
 
3.6%
물 1
 
3.6%
문화재 1
 
3.6%

분야
Text

MISSING 

Distinct12
Distinct (%)50.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2023-12-12T17:41:35.940635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.2083333
Min length2

Characters and Unicode

Total characters53
Distinct characters22
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

Unique7 ?
Unique (%)29.2%

Sample

1st row전적
2nd row탱화
3rd row탱화
4th row전적
5th row전적
ValueCountFrequency (%)
탱화 6
25.0%
공예 4
16.7%
전적 3
12.5%
회화 2
 
8.3%
고서 2
 
8.3%
지도 1
 
4.2%
교각 1
 
4.2%
유물 1
 
4.2%
불상 1
 
4.2%
공예(도자기 1
 
4.2%
Other values (2) 2
 
8.3%
2023-12-12T17:41:36.302724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 9
17.0%
탱 6
11.3%
공 5
 
9.4%
예 5
 
9.4%
전 3
 
5.7%
적 3
 
5.7%
상 2
 
3.8%
회 2
 
3.8%
고 2
 
3.8%
서 2
 
3.8%
Other values (12) 14
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51
96.2%
Close Punctuation 1
 
1.9%
Open Punctuation 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 9
17.6%
탱 6
11.8%
공 5
9.8%
예 5
9.8%
전 3
 
5.9%
적 3
 
5.9%
상 2
 
3.9%
회 2
 
3.9%
고 2
 
3.9%
서 2
 
3.9%
Other values (10) 12
23.5%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51
96.2%
Common 2
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 9
17.6%
탱 6
11.8%
공 5
9.8%
예 5
9.8%
전 3
 
5.9%
적 3
 
5.9%
상 2
 
3.9%
회 2
 
3.9%
고 2
 
3.9%
서 2
 
3.9%
Other values (10) 12
23.5%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51
96.2%
ASCII 2
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 9
17.6%
탱 6
11.8%
공 5
9.8%
예 5
9.8%
전 3
 
5.9%
적 3
 
5.9%
상 2
 
3.9%
회 2
 
3.9%
고 2
 
3.9%
서 2
 
3.9%
Other values (10) 12
23.5%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

관리(지정)번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:41:36.550236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4615385
Min length3

Characters and Unicode

Total characters116
Distinct characters13
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

Unique26 ?
Unique (%)100.0%

Sample

1st row제266호
2nd row제17호
3rd row제961-2호
4th row제61호
5th row제62호
ValueCountFrequency (%)
제266호 1
 
3.8%
제17호 1
 
3.8%
제121호 1
 
3.8%
제118호 1
 
3.8%
제113호 1
 
3.8%
제109호 1
 
3.8%
제108호 1
 
3.8%
제99호 1
 
3.8%
제49호 1
 
3.8%
제39호 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T17:41:37.001798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 26
22.4%
호 26
22.4%
1 14
12.1%
2 11
9.5%
6 9
 
7.8%
9 8
 
6.9%
0 7
 
6.0%
3 5
 
4.3%
8 4
 
3.4%
5 3
 
2.6%
Other values (3) 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
54.3%
Other Letter 52
44.8%
Dash Punctuation 1
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
22.2%
2 11
17.5%
6 9
14.3%
9 8
12.7%
0 7
11.1%
3 5
 
7.9%
8 4
 
6.3%
5 3
 
4.8%
7 1
 
1.6%
4 1
 
1.6%
Other Letter
ValueCountFrequency (%)
제 26
50.0%
호 26
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64
55.2%
Hangul 52
44.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14
21.9%
2 11
17.2%
6 9
14.1%
9 8
12.5%
0 7
10.9%
3 5
 
7.8%
8 4
 
6.2%
5 3
 
4.7%
7 1
 
1.6%
- 1
 
1.6%
Hangul
ValueCountFrequency (%)
제 26
50.0%
호 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
55.2%
Hangul 52
44.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 26
50.0%
호 26
50.0%
ASCII
ValueCountFrequency (%)
1 14
21.9%
2 11
17.2%
6 9
14.1%
9 8
12.5%
0 7
10.9%
3 5
 
7.8%
8 4
 
6.2%
5 3
 
4.7%
7 1
 
1.6%
- 1
 
1.6%

명칭
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:41:37.265474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length8.1923077
Min length2

Characters and Unicode

Total characters213
Distinct characters102
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

Unique26 ?
Unique (%)100.0%

Sample

1st row부산 동삼동 패총
2nd row부산 영도 태종대
3rd row묘법연화경 권4~7
4th row지장시왕도
5th row아미타극락회상도
ValueCountFrequency (%)
복천사 4
 
8.2%
및 3
 
6.1%
부산 2
 
4.1%
해련사 2
 
4.1%
복장유물 2
 
4.1%
일괄 2
 
4.1%
석조석가여래 1
 
2.0%
농기 1
 
2.0%
석가영산회상도 1
 
2.0%
독성도 1
 
2.0%
Other values (30) 30
61.2%
2023-12-12T17:41:37.691292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.8%
도 13
 
6.1%
상 7
 
3.3%
사 6
 
2.8%
복 6
 
2.8%
천 5
 
2.3%
부 4
 
1.9%
조 4
 
1.9%
장 4
 
1.9%
전 4
 
1.9%
Other values (92) 137
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
87.8%
Space Separator 23
 
10.8%
Decimal Number 2
 
0.9%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 13
 
7.0%
상 7
 
3.7%
사 6
 
3.2%
복 6
 
3.2%
천 5
 
2.7%
부 4
 
2.1%
조 4
 
2.1%
장 4
 
2.1%
전 4
 
2.1%
화 3
 
1.6%
Other values (88) 131
70.1%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
7 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
87.8%
Common 26
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 13
 
7.0%
상 7
 
3.7%
사 6
 
3.2%
복 6
 
3.2%
천 5
 
2.7%
부 4
 
2.1%
조 4
 
2.1%
장 4
 
2.1%
전 4
 
2.1%
화 3
 
1.6%
Other values (88) 131
70.1%
Common
ValueCountFrequency (%)
23
88.5%
~ 1
 
3.8%
4 1
 
3.8%
7 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
87.8%
ASCII 26
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
88.5%
~ 1
 
3.8%
4 1
 
3.8%
7 1
 
3.8%
Hangul
ValueCountFrequency (%)
도 13
 
7.0%
상 7
 
3.7%
사 6
 
3.2%
복 6
 
3.2%
천 5
 
2.7%
부 4
 
2.1%
조 4
 
2.1%
장 4
 
2.1%
전 4
 
2.1%
화 3
 
1.6%
Other values (88) 131
70.1%

제작연도
Text

MISSING 

Distinct17
Distinct (%)70.8%
Missing2
Missing (%)7.7%
Memory size340.0 B
2023-12-12T17:41:37.887620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9583333
Min length2

Characters and Unicode

Total characters95
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)58.3%

Sample

1st row1405
2nd row1892
3rd row1892
4th row1575
5th row1579
ValueCountFrequency (%)
조선시대 4
16.7%
1892 3
12.5%
조선후기 3
12.5%
1921 1
 
4.2%
1922 1
 
4.2%
19세기말 1
 
4.2%
1920 1
 
4.2%
1624 1
 
4.2%
1862 1
 
4.2%
1405 1
 
4.2%
Other values (7) 7
29.2%
2023-12-12T17:41:38.174979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 16
16.8%
2 10
10.5%
9 10
10.5%
선 7
 
7.4%
조 7
 
7.4%
기 6
 
6.3%
대 5
 
5.3%
5 5
 
5.3%
8 4
 
4.2%
시 4
 
4.2%
Other values (9) 21
22.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
61.1%
Other Letter 37
38.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
27.6%
2 10
17.2%
9 10
17.2%
5 5
 
8.6%
8 4
 
6.9%
0 4
 
6.9%
7 3
 
5.2%
4 3
 
5.2%
6 2
 
3.4%
3 1
 
1.7%
Other Letter
ValueCountFrequency (%)
선 7
18.9%
조 7
18.9%
기 6
16.2%
대 5
13.5%
시 4
10.8%
후 3
8.1%
세 3
8.1%
말 1
 
2.7%
근 1
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 58
61.1%
Hangul 37
38.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
27.6%
2 10
17.2%
9 10
17.2%
5 5
 
8.6%
8 4
 
6.9%
0 4
 
6.9%
7 3
 
5.2%
4 3
 
5.2%
6 2
 
3.4%
3 1
 
1.7%
Hangul
ValueCountFrequency (%)
선 7
18.9%
조 7
18.9%
기 6
16.2%
대 5
13.5%
시 4
10.8%
후 3
8.1%
세 3
8.1%
말 1
 
2.7%
근 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58
61.1%
Hangul 37
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 16
27.6%
2 10
17.2%
9 10
17.2%
5 5
 
8.6%
8 4
 
6.9%
0 4
 
6.9%
7 3
 
5.2%
4 3
 
5.2%
6 2
 
3.4%
3 1
 
1.7%
Hangul
ValueCountFrequency (%)
선 7
18.9%
조 7
18.9%
기 6
16.2%
대 5
13.5%
시 4
10.8%
후 3
8.1%
세 3
8.1%
말 1
 
2.7%
근 1
 
2.7%

지정일자
Date

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1979-07-26 00:00:00
Maximum2022-09-28 00:00:00
2023-12-12T17:41:38.321655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:41:38.437542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

소유자
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
국립해양박물관
12 
복천사
8 
<NA>
2 
해련사
2 
법화사
 
1

Length

Max length7
Median length4
Mean length4.9230769
Min length3

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row<NA>
3rd row법화사
4th row복천사
5th row복천사

Common Values

ValueCountFrequency (%)
국립해양박물관 12
46.2%
복천사 8
30.8%
<NA> 2
 
7.7%
해련사 2
 
7.7%
법화사 1
 
3.8%
부산시 1
 
3.8%

Length

2023-12-12T17:41:38.555807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:38.675186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립해양박물관 12
46.2%
복천사 8
30.8%
na 2
 
7.7%
해련사 2
 
7.7%
법화사 1
 
3.8%
부산시 1
 
3.8%

Correlations

2023-12-12T17:41:38.765884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분종별분야관리(지정)번호명칭제작연도지정일자소유자
지정구분1.0001.0000.8611.0001.0001.0001.0000.677
종별1.0001.0000.9371.0001.0000.9370.9910.854
분야0.8610.9371.0001.0001.0000.8680.9900.759
관리(지정)번호1.0001.0001.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.0001.0001.000
제작연도1.0000.9370.8681.0001.0001.0000.9590.944
지정일자1.0000.9910.9901.0001.0000.9591.0001.000
소유자0.6770.8540.7591.0001.0000.9441.0001.000
2023-12-12T17:41:38.887685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분종별소유자
지정구분1.0000.8850.616
종별0.8851.0000.743
소유자0.6160.7431.000
2023-12-12T17:41:38.973510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분종별소유자
지정구분1.0000.8850.616
종별0.8851.0000.743
소유자0.6160.7431.000

Missing values

2023-12-12T17:41:34.935659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:41:35.087340image/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.
2023-12-12T17:41:35.195287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지정구분종별분야관리(지정)번호명칭제작연도지정일자소유자
0국가지정사적<NA>제266호부산 동삼동 패총<NA>1979-07-26<NA>
1국가지정명승<NA>제17호부산 영도 태종대<NA>2005-11-01<NA>
2국가지정보물전적제961-2호묘법연화경 권4~714052013-11-13법화사
3시지정유형문화재탱화제61호지장시왕도18922005-12-27복천사
4시지정유형문화재탱화제62호아미타극락회상도18922005-12-27복천사
5시지정유형문화재전적제65호복천사 조상경15752006-07-03복천사
6시지정유형문화재전적제66호선원제전집도서15792006-07-03복천사
7시지정유형문화재지도제200호한글조선전도조선시대2019-04-10국립해양박물관
8시지정유형문화재회화제208호이원찬 필 호도조선시대2019-07-24국립해양박물관
9시지정유형문화재공예제209호나전칠국화모란넝쿨무늬상자조선시대2019-07-24국립해양박물관
지정구분종별분야관리(지정)번호명칭제작연도지정일자소유자
16시지정문화재자료탱화제38호복천사 독성도 및 복장유물 일괄18922007-09-07복천사
17시지정문화재자료탱화제39호복천사 현왕도 및 복장유물 일괄20세기2007-09-07복천사
18시지정문화재자료불상제49호복천사 석조석가여래 및 보살 좌상19222008-12-16복천사
19시지정문화재자료공예(도자기)제99호백자철화운룡문호17세기2017-07-19국립해양박물관
20시지정문화재자료고서제108호조행일록18622019-02-13국립해양박물관
21시지정문화재자료고서제109호죽천이공행적록16242019-02-13국립해양박물관
22시지정문화재자료초상제113호박주부초상조선시대2020-01-29국립해양박물관
23시지정문화재자료탱화제118호백의관음보살도19202022-01-26국립해양박물관
24시지정문화재자료공예제121호나전대모쌍룡문함19세기말2022-03-23국립해양박물관
25시등록문화재불화제2호감로도근대2022-09-28국립해양박물관