Overview

Dataset statistics

Number of variables12
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory102.6 B

Variable types

Text5
DateTime2
Categorical3
Numeric2

Dataset

Description부산광역시 부산진구 관내 문화재 현황에 대한 데이터로 문화재명, 소재지, 지정번호, 시대 등에 대한 정보를 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15065185/fileData.do

Alerts

담당자전화번호 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
지정번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:24:49.799544
Analysis finished2024-03-14 19:24:52.369033
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T04:24:53.020535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length8.25
Min length2

Characters and Unicode

Total characters231
Distinct characters120
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 (%)92.9%

Sample

1st row김해 양동리 322호분 출토 목걸이
2nd row대방광원각수다라요의경
3rd row진실주집
4th row부산 양정동 배롱나무
5th row부산 전포동 구상반려암
ValueCountFrequency (%)
선암사 4
 
7.4%
동모 2
 
3.7%
부산 2
 
3.7%
독성도 1
 
1.9%
출토 1
 
1.9%
목걸이 1
 
1.9%
한일 1
 
1.9%
외교 1
 
1.9%
관련서 1
 
1.9%
일괄 1
 
1.9%
Other values (39) 39
72.2%
2024-03-15T04:24:54.319030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.3%
9
 
3.9%
7
 
3.0%
6
 
2.6%
5
 
2.2%
5
 
2.2%
4
 
1.7%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (110) 157
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
84.8%
Space Separator 26
 
11.3%
Decimal Number 8
 
3.5%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
4.6%
7
 
3.6%
6
 
3.1%
5
 
2.6%
5
 
2.6%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (104) 145
74.0%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
0 2
25.0%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
84.8%
Common 35
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
4.6%
7
 
3.6%
6
 
3.1%
5
 
2.6%
5
 
2.6%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (104) 145
74.0%
Common
ValueCountFrequency (%)
26
74.3%
2 3
 
8.6%
1 2
 
5.7%
0 2
 
5.7%
3 1
 
2.9%
. 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
84.8%
ASCII 35
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
74.3%
2 3
 
8.6%
1 2
 
5.7%
0 2
 
5.7%
3 1
 
2.9%
. 1
 
2.9%
Hangul
ValueCountFrequency (%)
9
 
4.6%
7
 
3.6%
6
 
3.1%
5
 
2.6%
5
 
2.6%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (104) 145
74.0%
Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T04:24:55.068300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length20
Min length14

Characters and Unicode

Total characters560
Distinct characters61
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

Unique12 ?
Unique (%)42.9%

Sample

1st row부산광역시 부산진구 엄광로 176(가야동, 동의대학교)
2nd row부산광역시 부산진구 초읍천로43번길 77
3rd row부산광역시 부산진구 초읍천로43번길 77
4th row부산광역시 부산진구 동평로 335
5th row부산광역시 부산진구 전포2동 산12번지 일원
ValueCountFrequency (%)
부산광역시 28
24.8%
부산진구 24
21.2%
월드컵대로 5
 
4.4%
462 5
 
4.4%
초읍천로43번길 3
 
2.7%
77 3
 
2.7%
백양산로 3
 
2.7%
138 3
 
2.7%
동래구 3
 
2.7%
복천로 3
 
2.7%
Other values (28) 33
29.2%
2024-03-15T04:24:56.002661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
15.2%
57
 
10.2%
52
 
9.3%
30
 
5.4%
29
 
5.2%
28
 
5.0%
28
 
5.0%
25
 
4.5%
25
 
4.5%
3 15
 
2.7%
Other values (51) 186
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
68.6%
Decimal Number 87
 
15.5%
Space Separator 85
 
15.2%
Open Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
14.8%
52
13.5%
30
 
7.8%
29
 
7.6%
28
 
7.3%
28
 
7.3%
25
 
6.5%
25
 
6.5%
9
 
2.3%
7
 
1.8%
Other values (36) 94
24.5%
Decimal Number
ValueCountFrequency (%)
3 15
17.2%
1 13
14.9%
2 13
14.9%
7 11
12.6%
4 11
12.6%
6 10
11.5%
0 5
 
5.7%
5 4
 
4.6%
8 3
 
3.4%
9 2
 
2.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
68.6%
Common 176
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
14.8%
52
13.5%
30
 
7.8%
29
 
7.6%
28
 
7.3%
28
 
7.3%
25
 
6.5%
25
 
6.5%
9
 
2.3%
7
 
1.8%
Other values (36) 94
24.5%
Common
ValueCountFrequency (%)
85
48.3%
3 15
 
8.5%
1 13
 
7.4%
2 13
 
7.4%
7 11
 
6.2%
4 11
 
6.2%
6 10
 
5.7%
0 5
 
2.8%
5 4
 
2.3%
8 3
 
1.7%
Other values (5) 6
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
68.6%
ASCII 176
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
48.3%
3 15
 
8.5%
1 13
 
7.4%
2 13
 
7.4%
7 11
 
6.2%
4 11
 
6.2%
6 10
 
5.7%
0 5
 
2.8%
5 4
 
2.3%
8 3
 
1.7%
Other values (5) 6
 
3.4%
Hangul
ValueCountFrequency (%)
57
14.8%
52
13.5%
30
 
7.8%
29
 
7.6%
28
 
7.3%
28
 
7.3%
25
 
6.5%
25
 
6.5%
9
 
2.3%
7
 
1.8%
Other values (36) 94
24.5%
Distinct16
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T04:24:56.601000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.8928571
Min length3

Characters and Unicode

Total characters193
Distinct characters56
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

Unique10 ?
Unique (%)35.7%

Sample

1st row국립김해박물관
2nd row삼광사
3rd row삼광사
4th row화지공원 관리사무소
5th row부산진구청
ValueCountFrequency (%)
부산시립시민도서관 5
13.5%
선암사 4
 
10.8%
개인소유(복천박물관 3
 
8.1%
위탁 3
 
8.1%
보관 3
 
8.1%
삼광사 3
 
8.1%
부산시설공단 2
 
5.4%
대원사 2
 
5.4%
천안사 1
 
2.7%
홍제사 1
 
2.7%
Other values (10) 10
27.0%
2024-03-15T04:24:57.516694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
7.8%
15
 
7.8%
12
 
6.2%
9
 
4.7%
9
 
4.7%
9
 
4.7%
6
 
3.1%
6
 
3.1%
5
 
2.6%
5
 
2.6%
Other values (46) 102
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
91.7%
Space Separator 9
 
4.7%
Close Punctuation 3
 
1.6%
Open Punctuation 3
 
1.6%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
8.5%
15
 
8.5%
12
 
6.8%
9
 
5.1%
9
 
5.1%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (42) 90
50.8%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
91.7%
Common 16
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
8.5%
15
 
8.5%
12
 
6.8%
9
 
5.1%
9
 
5.1%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (42) 90
50.8%
Common
ValueCountFrequency (%)
9
56.2%
) 3
 
18.8%
( 3
 
18.8%
, 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
91.7%
ASCII 16
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
8.5%
15
 
8.5%
12
 
6.8%
9
 
5.1%
9
 
5.1%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (42) 90
50.8%
ASCII
ValueCountFrequency (%)
9
56.2%
) 3
 
18.8%
( 3
 
18.8%
, 1
 
6.2%

지정번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T04:24:58.413299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6071429
Min length3

Characters and Unicode

Total characters129
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

Unique28 ?
Unique (%)100.0%

Sample

1st row제2083호
2nd row제1518-2호
3rd row제921-3호
4th row제168호
5th row제267호
ValueCountFrequency (%)
제2083호 1
 
3.6%
제1518-2호 1
 
3.6%
제114호 1
 
3.6%
제64호 1
 
3.6%
제58호 1
 
3.6%
제53호 1
 
3.6%
제51호 1
 
3.6%
제37호 1
 
3.6%
제31호 1
 
3.6%
제27호 1
 
3.6%
Other values (18) 18
64.3%
2024-03-15T04:24:59.465006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
21.7%
28
21.7%
1 14
10.9%
2 9
 
7.0%
5 9
 
7.0%
4 8
 
6.2%
3 7
 
5.4%
6 6
 
4.7%
7 6
 
4.7%
8 5
 
3.9%
Other values (3) 9
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
55.0%
Other Letter 56
43.4%
Dash Punctuation 2
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
19.7%
2 9
12.7%
5 9
12.7%
4 8
11.3%
3 7
9.9%
6 6
8.5%
7 6
8.5%
8 5
 
7.0%
9 4
 
5.6%
0 3
 
4.2%
Other Letter
ValueCountFrequency (%)
28
50.0%
28
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
56.6%
Hangul 56
43.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14
19.2%
2 9
12.3%
5 9
12.3%
4 8
11.0%
3 7
9.6%
6 6
8.2%
7 6
8.2%
8 5
 
6.8%
9 4
 
5.5%
0 3
 
4.1%
Hangul
ValueCountFrequency (%)
28
50.0%
28
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
56.6%
Hangul 56
43.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
50.0%
28
50.0%
ASCII
ValueCountFrequency (%)
1 14
19.2%
2 9
12.3%
5 9
12.3%
4 8
11.0%
3 7
9.6%
6 6
8.2%
7 6
8.2%
8 5
 
6.8%
9 4
 
5.5%
0 3
 
4.1%
Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum1965-04-01 00:00:00
Maximum2023-11-29 00:00:00
2024-03-15T04:24:59.688958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:24:59.898979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

시대
Text

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T04:25:00.571629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0357143
Min length2

Characters and Unicode

Total characters113
Distinct characters34
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

Unique20 ?
Unique (%)71.4%

Sample

1st row삼국시대
2nd row고려시대
3rd row조선시대
4th row고려
5th row백악기
ValueCountFrequency (%)
청동기 3
 
10.7%
조선후기 3
 
10.7%
고려 2
 
7.1%
1949년 1
 
3.6%
삼국시대 1
 
3.6%
1661년 1
 
3.6%
1500년 1
 
3.6%
1935년 1
 
3.6%
1885년 1
 
3.6%
1881년 1
 
3.6%
Other values (13) 13
46.4%
2024-03-15T04:25:01.484563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15
 
13.3%
11
 
9.7%
10
 
8.8%
9 8
 
7.1%
6
 
5.3%
6
 
5.3%
5 6
 
5.3%
0 4
 
3.5%
8 4
 
3.5%
3
 
2.7%
Other values (24) 40
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
59.3%
Decimal Number 46
40.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
16.4%
10
14.9%
6
 
9.0%
6
 
9.0%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
Other values (14) 16
23.9%
Decimal Number
ValueCountFrequency (%)
1 15
32.6%
9 8
17.4%
5 6
 
13.0%
0 4
 
8.7%
8 4
 
8.7%
6 3
 
6.5%
7 2
 
4.3%
2 2
 
4.3%
3 1
 
2.2%
4 1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
59.3%
Common 46
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
16.4%
10
14.9%
6
 
9.0%
6
 
9.0%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
Other values (14) 16
23.9%
Common
ValueCountFrequency (%)
1 15
32.6%
9 8
17.4%
5 6
 
13.0%
0 4
 
8.7%
8 4
 
8.7%
6 3
 
6.5%
7 2
 
4.3%
2 2
 
4.3%
3 1
 
2.2%
4 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
59.3%
ASCII 46
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15
32.6%
9 8
17.4%
5 6
 
13.0%
0 4
 
8.7%
8 4
 
8.7%
6 3
 
6.5%
7 2
 
4.3%
2 2
 
4.3%
3 1
 
2.2%
4 1
 
2.2%
Hangul
ValueCountFrequency (%)
11
16.4%
10
14.9%
6
 
9.0%
6
 
9.0%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
3
 
4.5%
Other values (14) 16
23.9%

종별
Categorical

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
유형문화재
문화재자료
보물
천연기념물
국가등록문화재
Other values (2)

Length

Max length7
Median length5
Mean length4.8214286
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row보물
2nd row보물
3rd row보물
4th row천연기념물
5th row천연기념물

Common Values

ValueCountFrequency (%)
유형문화재 9
32.1%
문화재자료 9
32.1%
보물 3
 
10.7%
천연기념물 2
 
7.1%
국가등록문화재 2
 
7.1%
시등록문화재 2
 
7.1%
기념물 1
 
3.6%

Length

2024-03-15T04:25:01.929269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:25:02.265228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 9
32.1%
문화재자료 9
32.1%
보물 3
 
10.7%
천연기념물 2
 
7.1%
국가등록문화재 2
 
7.1%
시등록문화재 2
 
7.1%
기념물 1
 
3.6%

담당자전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
051-605-4065
28 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-605-4065
2nd row051-605-4065
3rd row051-605-4065
4th row051-605-4065
5th row051-605-4065

Common Values

ValueCountFrequency (%)
051-605-4065 28
100.0%

Length

2024-03-15T04:25:02.479713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:25:02.707827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-605-4065 28
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
부산광역시 부산진구
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구
2nd row부산광역시 부산진구
3rd row부산광역시 부산진구
4th row부산광역시 부산진구
5th row부산광역시 부산진구

Common Values

ValueCountFrequency (%)
부산광역시 부산진구 28
100.0%

Length

2024-03-15T04:25:03.046755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:25:03.343861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 28
50.0%
부산진구 28
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum2024-01-11 00:00:00
Maximum2024-01-11 00:00:00
2024-03-15T04:25:03.595561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:25:03.862128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.173191
Minimum35.1435
Maximum35.208641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T04:25:04.167478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.1435
5-th percentile35.14452
Q135.160581
median35.176694
Q335.183577
95-th percentile35.208641
Maximum35.208641
Range0.065141
Interquartile range (IQR)0.0229965

Descriptive statistics

Standard deviation0.018464988
Coefficient of variation (CV)0.00052497337
Kurtosis-0.20018096
Mean35.173191
Median Absolute Deviation (MAD)0.0068825
Skewness0.1388951
Sum984.84934
Variance0.0003409558
MonotonicityNot monotonic
2024-03-15T04:25:04.560913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
35.183577 5
17.9%
35.177237 4
14.3%
35.208641 3
10.7%
35.175965 3
10.7%
35.167358 1
 
3.6%
35.152334 1
 
3.6%
35.1435 1
 
3.6%
35.153128 1
 
3.6%
35.145925 1
 
3.6%
35.143763 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
35.1435 1
3.6%
35.143763 1
3.6%
35.145925 1
3.6%
35.14598 1
3.6%
35.152334 1
3.6%
35.153128 1
3.6%
35.153781 1
3.6%
35.162847 1
3.6%
35.163431 1
3.6%
35.167358 1
3.6%
ValueCountFrequency (%)
35.208641 3
10.7%
35.183577 5
17.9%
35.183248 1
 
3.6%
35.177237 4
14.3%
35.176911 1
 
3.6%
35.176478 1
 
3.6%
35.175965 3
10.7%
35.167358 1
 
3.6%
35.163431 1
 
3.6%
35.162847 1
 
3.6%

경도
Real number (ℝ)

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04906
Minimum129.02743
Maximum129.09144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T04:25:04.924048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.02743
5-th percentile129.02758
Q1129.03262
median129.04815
Q3129.05344
95-th percentile129.09144
Maximum129.09144
Range0.064005
Interquartile range (IQR)0.02082225

Descriptive statistics

Standard deviation0.019712492
Coefficient of variation (CV)0.00015275192
Kurtosis0.2850192
Mean129.04906
Median Absolute Deviation (MAD)0.013067
Skewness0.96646137
Sum3613.3738
Variance0.00038858234
MonotonicityNot monotonic
2024-03-15T04:25:05.313038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
129.049979 5
17.9%
129.027694 4
14.3%
129.091438 3
10.7%
129.043405 3
10.7%
129.05435 1
 
3.6%
129.041898 1
 
3.6%
129.02752 1
 
3.6%
129.07464 1
 
3.6%
129.029756 1
 
3.6%
129.027433 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
129.027433 1
 
3.6%
129.02752 1
 
3.6%
129.027694 4
14.3%
129.029756 1
 
3.6%
129.033573 1
 
3.6%
129.03526 1
 
3.6%
129.041898 1
 
3.6%
129.043405 3
10.7%
129.046326 1
 
3.6%
129.049979 5
17.9%
ValueCountFrequency (%)
129.091438 3
10.7%
129.07464 1
 
3.6%
129.072051 1
 
3.6%
129.061394 1
 
3.6%
129.05435 1
 
3.6%
129.053138 1
 
3.6%
129.051249 1
 
3.6%
129.049979 5
17.9%
129.046326 1
 
3.6%
129.043405 3
10.7%

Interactions

2024-03-15T04:24:50.957089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:24:50.443069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:24:51.215294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:24:50.696167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:25:05.576002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재명소재지관리주체지정번호지정일자시대종별위도경도
문화재명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0000.9590.9071.0001.000
관리주체1.0001.0001.0001.0001.0000.9510.7960.9990.987
지정번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
지정일자1.0001.0001.0001.0001.0000.9860.9571.0001.000
시대1.0000.9590.9511.0000.9861.0000.8740.9670.924
종별1.0000.9070.7961.0000.9570.8741.0000.6080.718
위도1.0001.0000.9991.0001.0000.9670.6081.0000.873
경도1.0001.0000.9871.0001.0000.9240.7180.8731.000
2024-03-15T04:25:05.880368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종별
위도1.0000.4030.359
경도0.4031.0000.470
종별0.3590.4701.000

Missing values

2024-03-15T04:24:51.634421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:24:52.160864image/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

문화재명소재지관리주체지정번호지정일자시대종별담당자전화번호구군명데이터기준일자위도경도
0김해 양동리 322호분 출토 목걸이부산광역시 부산진구 엄광로 176(가야동, 동의대학교)국립김해박물관제2083호2020-10-21삼국시대보물051-605-4065부산광역시 부산진구2024-01-1135.14598129.03526
1대방광원각수다라요의경부산광역시 부산진구 초읍천로43번길 77삼광사제1518-2호2015-04-22고려시대보물051-605-4065부산광역시 부산진구2024-01-1135.175965129.043405
2진실주집부산광역시 부산진구 초읍천로43번길 77삼광사제921-3호2015-04-22조선시대보물051-605-4065부산광역시 부산진구2024-01-1135.175965129.043405
3부산 양정동 배롱나무부산광역시 부산진구 동평로 335화지공원 관리사무소제168호1965-04-01고려천연기념물051-605-4065부산광역시 부산진구2024-01-1135.176478129.061394
4부산 전포동 구상반려암부산광역시 부산진구 전포2동 산12번지 일원부산진구청제267호1980-10-27백악기천연기념물051-605-4065부산광역시 부산진구2024-01-1135.163431129.072051
5구.성지곡수원지부산광역시 부산진구 새싹로 295부산시설공단제376호2008-07-03구한말국가등록문화재051-605-4065부산광역시 부산진구2024-01-1135.183248129.046326
6디젤전기기관차 2001호부산광역시 부산진구 범천동 1219부산철도차량관리단제416호2008-10-171950년국가등록문화재051-605-4065부산광역시 부산진구2024-01-1135.153781129.051249
7광복군가집 제1집부산광역시 부산진구 개금동개인소유제474호2011-08-24일제강점기유형문화재051-605-4065부산광역시 부산진구2024-01-1135.162847129.053138
8동모부산광역시 동래구 복천로 63개인소유(복천박물관 위탁 보관)제18호1972-06-26청동기유형문화재051-605-4065부산광역시 부산진구2024-01-1135.208641129.091438
9동모부산광역시 동래구 복천로 63개인소유(복천박물관 위탁 보관)제19호1972-06-26청동기유형문화재051-605-4065부산광역시 부산진구2024-01-1135.208641129.091438
문화재명소재지관리주체지정번호지정일자시대종별담당자전화번호구군명데이터기준일자위도경도
18부산항총무회소부산광역시 부산진구 월드컵대로 462부산시립시민도서관제4호2023-11-291901년시등록문화재051-605-4065부산광역시 부산진구2024-01-1135.183577129.049979
19선암사 괘불탱부산광역시 부산진구 백양산로 138선암사제27호2004-10-041926년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.177237129.027694
20대원사 독성도부산광역시 부산진구 가야공원로 110대원사제31호2005-03-0319세기문화재자료051-605-4065부산광역시 부산진구2024-01-1135.143763129.027433
21선암사 청동북부산광역시 금정구 범어사로 250선암사, 범어사 성보박물관제37호2006-11-25조선후기문화재자료051-605-4065부산광역시 부산진구2024-01-1135.177237129.027694
22교린수지부산광역시 부산진구 월드컵대로 462부산시립시민도서관제51호2009-12-071881년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.183577129.049979
23선암사 삼층석탑부산광역시 부산진구 백양산로 138선암사제53호2010-05-24고려문화재자료051-605-4065부산광역시 부산진구2024-01-1135.177237129.027694
24신흥사 치성광삼존도부산광역시 부산진구 가야공원로 77-20신흥사제58호2014-05-271885년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.145925129.029756
25홍제사 보광암명 범종부산광역시 부산진구 진남로304번길 34홍제사제64호2012-10-301935년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.153128129.07464
26현수제승법수부산광역시 부산진구 가야공원로 110대원사제114호2021-01-271500년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.1435129.02752
27삼세불도부산광역시 부산진구 엄광로326번나길 11가야사제125호2022-09-281925년문화재자료051-605-4065부산광역시 부산진구2024-01-1135.152334129.041898