Overview

Dataset statistics

Number of variables13
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory111.7 B

Variable types

Categorical3
Text5
DateTime3
Numeric2

Dataset

Description부산광역시동래구_모범음식점현황_20230214
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081196

Alerts

구군명 has constant value ""Constant
업종 has constant value ""Constant
재지정일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique
소재지주소(지번) has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:44:36.274300
Analysis finished2023-12-10 16:44:37.505946
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
부산광역시 동래구
23 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 동래구 23
100.0%

Length

2023-12-11T01:44:37.591300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:37.701745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 23
50.0%
동래구 23
50.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
일반음식점
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 23
100.0%

Length

2023-12-11T01:44:37.818460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:37.928341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 23
100.0%

업태
Categorical

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
한식
11 
식육(숯불구이)
3 
복어취급
3 
회집
2 
일식
 
1
Other values (3)
3 

Length

Max length8
Median length2
Mean length3.3043478
Min length2

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row일식
2nd row식육(숯불구이)
3rd row한식
4th row한식
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 11
47.8%
식육(숯불구이) 3
 
13.0%
복어취급 3
 
13.0%
회집 2
 
8.7%
일식 1
 
4.3%
분식 1
 
4.3%
탕류(보신용) 1
 
4.3%
중국식 1
 
4.3%

Length

2023-12-11T01:44:38.067949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:38.236836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 11
47.8%
식육(숯불구이 3
 
13.0%
복어취급 3
 
13.0%
회집 2
 
8.7%
일식 1
 
4.3%
분식 1
 
4.3%
탕류(보신용 1
 
4.3%
중국식 1
 
4.3%

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:44:38.543114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.2608696
Min length2

Characters and Unicode

Total characters121
Distinct characters77
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

Unique23 ?
Unique (%)100.0%

Sample

1st row어가식당
2nd row영남식육식당 안락점
3rd row오륙도낙지
4th row정림
5th row주식회사세연정
ValueCountFrequency (%)
어가식당 1
 
4.0%
봉식당 1
 
4.0%
금수복국 1
 
4.0%
금문 1
 
4.0%
조방낙지 1
 
4.0%
구기영 1
 
4.0%
동래별장 1
 
4.0%
대하찹쌀아구찜 1
 
4.0%
대궐집 1
 
4.0%
논두렁추어탕 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T01:44:39.037313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 6
 
5.0%
당 4
 
3.3%
구 4
 
3.3%
국 3
 
2.5%
점 3
 
2.5%
대 3
 
2.5%
집 3
 
2.5%
복 3
 
2.5%
수 3
 
2.5%
아 3
 
2.5%
Other values (67) 86
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
96.7%
Space Separator 2
 
1.7%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6
 
5.1%
당 4
 
3.4%
구 4
 
3.4%
국 3
 
2.6%
점 3
 
2.6%
대 3
 
2.6%
집 3
 
2.6%
복 3
 
2.6%
수 3
 
2.6%
아 3
 
2.6%
Other values (64) 82
70.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
96.7%
Common 4
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6
 
5.1%
당 4
 
3.4%
구 4
 
3.4%
국 3
 
2.6%
점 3
 
2.6%
대 3
 
2.6%
집 3
 
2.6%
복 3
 
2.6%
수 3
 
2.6%
아 3
 
2.6%
Other values (64) 82
70.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
96.7%
ASCII 4
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 6
 
5.1%
당 4
 
3.4%
구 4
 
3.4%
국 3
 
2.6%
점 3
 
2.6%
대 3
 
2.6%
집 3
 
2.6%
복 3
 
2.6%
수 3
 
2.6%
아 3
 
2.6%
Other values (64) 82
70.1%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

소재지주소(도로명)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:44:39.335588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length26.956522
Min length24

Characters and Unicode

Total characters620
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 온천장로107번길 32 (온천동)
2nd row부산광역시 동래구 충렬대로 406 (안락동)
3rd row부산광역시 동래구 사직북로5번길 30 (사직동)
4th row부산광역시 동래구 충렬대로237번길 31-3 (수안동)
5th row부산광역시 동래구 충렬대로 149 (온천동)
ValueCountFrequency (%)
부산광역시 23
20.0%
동래구 23
20.0%
온천동 8
 
7.0%
수안동 5
 
4.3%
26 4
 
3.5%
충렬대로 4
 
3.5%
사직동 3
 
2.6%
안락동 3
 
2.6%
사직북로13번길 2
 
1.7%
온천장로119번길 2
 
1.7%
Other values (37) 38
33.0%
2023-12-11T01:44:39.794832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
14.8%
동 47
 
7.6%
래 24
 
3.9%
부 23
 
3.7%
) 23
 
3.7%
( 23
 
3.7%
구 23
 
3.7%
로 23
 
3.7%
시 23
 
3.7%
역 23
 
3.7%
Other values (37) 296
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
60.2%
Decimal Number 103
 
16.6%
Space Separator 92
 
14.8%
Close Punctuation 23
 
3.7%
Open Punctuation 23
 
3.7%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
 
12.6%
래 24
 
6.4%
부 23
 
6.2%
구 23
 
6.2%
로 23
 
6.2%
시 23
 
6.2%
역 23
 
6.2%
광 23
 
6.2%
산 23
 
6.2%
번 17
 
4.6%
Other values (23) 124
33.2%
Decimal Number
ValueCountFrequency (%)
1 22
21.4%
2 16
15.5%
3 15
14.6%
6 11
10.7%
0 9
8.7%
5 8
 
7.8%
8 6
 
5.8%
9 6
 
5.8%
4 5
 
4.9%
7 5
 
4.9%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
60.2%
Common 247
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
 
12.6%
래 24
 
6.4%
부 23
 
6.2%
구 23
 
6.2%
로 23
 
6.2%
시 23
 
6.2%
역 23
 
6.2%
광 23
 
6.2%
산 23
 
6.2%
번 17
 
4.6%
Other values (23) 124
33.2%
Common
ValueCountFrequency (%)
92
37.2%
) 23
 
9.3%
( 23
 
9.3%
1 22
 
8.9%
2 16
 
6.5%
3 15
 
6.1%
6 11
 
4.5%
0 9
 
3.6%
5 8
 
3.2%
8 6
 
2.4%
Other values (4) 22
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
60.2%
ASCII 247
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
37.2%
) 23
 
9.3%
( 23
 
9.3%
1 22
 
8.9%
2 16
 
6.5%
3 15
 
6.1%
6 11
 
4.5%
0 9
 
3.6%
5 8
 
3.2%
8 6
 
2.4%
Other values (4) 22
 
8.9%
Hangul
ValueCountFrequency (%)
동 47
 
12.6%
래 24
 
6.4%
부 23
 
6.2%
구 23
 
6.2%
로 23
 
6.2%
시 23
 
6.2%
역 23
 
6.2%
광 23
 
6.2%
산 23
 
6.2%
번 17
 
4.6%
Other values (23) 124
33.2%

소재지주소(지번)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:44:40.061422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.26087
Min length19

Characters and Unicode

Total characters489
Distinct characters33
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 온천동 137 - 0
2nd row부산광역시 동래구 안락동 606 - 21
3rd row부산광역시 동래구 사직동 90 - 39
4th row부산광역시 동래구 수안동 460 - 3
5th row부산광역시 동래구 온천동 1438 - 5
ValueCountFrequency (%)
부산광역시 23
16.7%
23
16.7%
동래구 23
16.7%
온천동 8
 
5.8%
수안동 5
 
3.6%
5 3
 
2.2%
3 3
 
2.2%
사직동 3
 
2.2%
안락동 3
 
2.2%
12 2
 
1.4%
Other values (39) 42
30.4%
2023-12-11T01:44:40.580349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
23.5%
동 46
 
9.4%
1 25
 
5.1%
부 23
 
4.7%
산 23
 
4.7%
광 23
 
4.7%
역 23
 
4.7%
시 23
 
4.7%
래 23
 
4.7%
구 23
 
4.7%
Other values (23) 142
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
51.7%
Space Separator 115
23.5%
Decimal Number 98
 
20.0%
Dash Punctuation 23
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
18.2%
부 23
9.1%
산 23
9.1%
광 23
9.1%
역 23
9.1%
시 23
9.1%
래 23
9.1%
구 23
9.1%
천 9
 
3.6%
안 8
 
3.2%
Other values (11) 29
11.5%
Decimal Number
ValueCountFrequency (%)
1 25
25.5%
3 13
13.3%
5 10
 
10.2%
2 9
 
9.2%
6 9
 
9.2%
7 8
 
8.2%
0 7
 
7.1%
9 7
 
7.1%
4 6
 
6.1%
8 4
 
4.1%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
51.7%
Common 236
48.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
18.2%
부 23
9.1%
산 23
9.1%
광 23
9.1%
역 23
9.1%
시 23
9.1%
래 23
9.1%
구 23
9.1%
천 9
 
3.6%
안 8
 
3.2%
Other values (11) 29
11.5%
Common
ValueCountFrequency (%)
115
48.7%
1 25
 
10.6%
- 23
 
9.7%
3 13
 
5.5%
5 10
 
4.2%
2 9
 
3.8%
6 9
 
3.8%
7 8
 
3.4%
0 7
 
3.0%
9 7
 
3.0%
Other values (2) 10
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
51.7%
ASCII 236
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
48.7%
1 25
 
10.6%
- 23
 
9.7%
3 13
 
5.5%
5 10
 
4.2%
2 9
 
3.8%
6 9
 
3.8%
7 8
 
3.4%
0 7
 
3.0%
9 7
 
3.0%
Other values (2) 10
 
4.2%
Hangul
ValueCountFrequency (%)
동 46
18.2%
부 23
9.1%
산 23
9.1%
광 23
9.1%
역 23
9.1%
시 23
9.1%
래 23
9.1%
구 23
9.1%
천 9
 
3.6%
안 8
 
3.2%
Other values (11) 29
11.5%

메뉴
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:44:40.852794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.9565217
Min length2

Characters and Unicode

Total characters91
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

Unique16 ?
Unique (%)69.6%

Sample

1st row생선회, 초밥
2nd row한우숯불구이
3rd row낙지볶음
4th row약선요리
5th row생갈비, 양념갈비
ValueCountFrequency (%)
복국 3
 
11.1%
생선회 3
 
11.1%
아구찜 2
 
7.4%
낙지볶음 2
 
7.4%
회 1
 
3.7%
돼지국밥 1
 
3.7%
낙지전골 1
 
3.7%
한정식 1
 
3.7%
소갈비 1
 
3.7%
추어탕 1
 
3.7%
Other values (11) 11
40.7%
2023-12-11T01:44:41.337024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5
 
5.5%
4
 
4.4%
생 4
 
4.4%
선 4
 
4.4%
회 4
 
4.4%
구 4
 
4.4%
, 4
 
4.4%
비 4
 
4.4%
갈 4
 
4.4%
지 4
 
4.4%
Other values (36) 50
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
91.2%
Space Separator 4
 
4.4%
Other Punctuation 4
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5
 
6.0%
생 4
 
4.8%
선 4
 
4.8%
회 4
 
4.8%
구 4
 
4.8%
비 4
 
4.8%
갈 4
 
4.8%
지 4
 
4.8%
낙 3
 
3.6%
복 3
 
3.6%
Other values (34) 44
53.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
91.2%
Common 8
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5
 
6.0%
생 4
 
4.8%
선 4
 
4.8%
회 4
 
4.8%
구 4
 
4.8%
비 4
 
4.8%
갈 4
 
4.8%
지 4
 
4.8%
낙 3
 
3.6%
복 3
 
3.6%
Other values (34) 44
53.0%
Common
ValueCountFrequency (%)
4
50.0%
, 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
91.2%
ASCII 8
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5
 
6.0%
생 4
 
4.8%
선 4
 
4.8%
회 4
 
4.8%
구 4
 
4.8%
비 4
 
4.8%
갈 4
 
4.8%
지 4
 
4.8%
낙 3
 
3.6%
복 3
 
3.6%
Other values (34) 44
53.0%
ASCII
ValueCountFrequency (%)
4
50.0%
, 4
50.0%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T01:44:41.644329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row051-554-0331
2nd row051-528-7222
3rd row051-506-1854
4th row051-554-1994
5th row051-506-6666
ValueCountFrequency (%)
051-554-0331 1
 
4.3%
051-556-9911 1
 
4.3%
051-555-9912 1
 
4.3%
051-555-4987 1
 
4.3%
051-528-7055 1
 
4.3%
051-552-0157 1
 
4.3%
051-505-8862 1
 
4.3%
051-552-0127 1
 
4.3%
051-553-5769 1
 
4.3%
051-555-2151 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T01:44:42.067732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
28.3%
- 46
16.7%
0 38
13.8%
1 35
12.7%
2 16
 
5.8%
9 13
 
4.7%
7 11
 
4.0%
6 11
 
4.0%
3 10
 
3.6%
4 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
33.9%
0 38
16.5%
1 35
15.2%
2 16
 
7.0%
9 13
 
5.7%
7 11
 
4.8%
6 11
 
4.8%
3 10
 
4.3%
4 9
 
3.9%
8 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
28.3%
- 46
16.7%
0 38
13.8%
1 35
12.7%
2 16
 
5.8%
9 13
 
4.7%
7 11
 
4.0%
6 11
 
4.0%
3 10
 
3.6%
4 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
28.3%
- 46
16.7%
0 38
13.8%
1 35
12.7%
2 16
 
5.8%
9 13
 
4.7%
7 11
 
4.0%
6 11
 
4.0%
3 10
 
3.6%
4 9
 
3.3%

지정일자
Date

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2002-05-30 00:00:00
Maximum2016-10-31 00:00:00
2023-12-11T01:44:42.230536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:42.384168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재지정일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2022-10-31 00:00:00
Maximum2022-10-31 00:00:00
2023-12-11T01:44:42.518582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:42.655279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.205451
Minimum35.192707
Maximum35.221874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T01:44:42.813653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.192707
5-th percentile35.196216
Q135.199438
median35.202995
Q335.208378
95-th percentile35.221699
Maximum35.221874
Range0.02916652
Interquartile range (IQR)0.00893935

Descriptive statistics

Standard deviation0.0093276447
Coefficient of variation (CV)0.00026494888
Kurtosis-0.54404224
Mean35.205451
Median Absolute Deviation (MAD)0.00395008
Skewness0.8659348
Sum809.72538
Variance8.7004956 × 10-5
MonotonicityNot monotonic
2023-12-11T01:44:43.068715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.22116261 1
 
4.3%
35.19632029 1
 
4.3%
35.20210338 1
 
4.3%
35.22054374 1
 
4.3%
35.22187376 1
 
4.3%
35.20343592 1
 
4.3%
35.22084165 1
 
4.3%
35.20319909 1
 
4.3%
35.2050824 1
 
4.3%
35.20648814 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
35.19270724 1
4.3%
35.19620411 1
4.3%
35.19632029 1
4.3%
35.19662098 1
4.3%
35.1968981 1
4.3%
35.19904535 1
4.3%
35.19983099 1
4.3%
35.200835 1
4.3%
35.20088889 1
4.3%
35.20109669 1
4.3%
ValueCountFrequency (%)
35.22187376 1
4.3%
35.22175869 1
4.3%
35.22116261 1
4.3%
35.22084165 1
4.3%
35.22054374 1
4.3%
35.2102669 1
4.3%
35.20648814 1
4.3%
35.20517824 1
4.3%
35.2050824 1
4.3%
35.20343592 1
4.3%

경도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.082
Minimum129.05919
Maximum129.10266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T01:44:43.238879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05919
5-th percentile129.05927
Q1129.07811
median129.08287
Q3129.08602
95-th percentile129.10109
Maximum129.10266
Range0.0434752
Interquartile range (IQR)0.00791365

Descriptive statistics

Standard deviation0.012432128
Coefficient of variation (CV)9.6311869 × 10-5
Kurtosis-0.07672456
Mean129.082
Median Absolute Deviation (MAD)0.0039966
Skewness-0.33058452
Sum2968.8859
Variance0.00015455782
MonotonicityNot monotonic
2023-12-11T01:44:43.415201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
129.0826877 1
 
4.3%
129.1026613 1
 
4.3%
129.0821268 1
 
4.3%
129.0833495 1
 
4.3%
129.0817854 1
 
4.3%
129.1012641 1
 
4.3%
129.0792673 1
 
4.3%
129.0653171 1
 
4.3%
129.0846484 1
 
4.3%
129.0796591 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
129.0591861 1
4.3%
129.0591951 1
4.3%
129.0599602 1
4.3%
129.0653171 1
4.3%
129.075393 1
4.3%
129.0769511 1
4.3%
129.0792673 1
4.3%
129.0796591 1
4.3%
129.0817854 1
4.3%
129.0821268 1
4.3%
ValueCountFrequency (%)
129.1026613 1
4.3%
129.1012641 1
4.3%
129.0995269 1
4.3%
129.0983825 1
4.3%
129.0912552 1
4.3%
129.086865 1
4.3%
129.0851807 1
4.3%
129.0848259 1
4.3%
129.0846484 1
4.3%
129.0835634 1
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-02-14 00:00:00
Maximum2023-02-14 00:00:00
2023-12-11T01:44:43.553424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:43.646616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:44:36.961537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:36.734552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:37.070183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:36.843029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:44:43.721602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태업소명소재지주소(도로명)소재지주소(지번)메뉴전화번호지정일자위도경도
업태1.0001.0001.0001.0001.0001.0000.6120.4610.669
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.000
메뉴1.0001.0001.0001.0001.0001.0000.8200.9000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
지정일자0.6121.0001.0001.0000.8201.0001.0000.0000.485
위도0.4611.0001.0001.0000.9001.0000.0001.0000.711
경도0.6691.0001.0001.0000.0001.0000.4850.7111.000
2023-12-11T01:44:43.845766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태
위도1.000-0.1770.223
경도-0.1771.0000.217
업태0.2230.2171.000

Missing values

2023-12-11T01:44:37.196015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:44:37.416638image/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

구군명업종업태업소명소재지주소(도로명)소재지주소(지번)메뉴전화번호지정일자재지정일자위도경도데이터기준일자
0부산광역시 동래구일반음식점일식어가식당부산광역시 동래구 온천장로107번길 32 (온천동)부산광역시 동래구 온천동 137 - 0생선회, 초밥051-554-03312005-06-222022-10-3135.221163129.0826882023-02-14
1부산광역시 동래구일반음식점식육(숯불구이)영남식육식당 안락점부산광역시 동래구 충렬대로 406 (안락동)부산광역시 동래구 안락동 606 - 21한우숯불구이051-528-72222016-10-312022-10-3135.19632129.1026612023-02-14
2부산광역시 동래구일반음식점한식오륙도낙지부산광역시 동래구 사직북로5번길 30 (사직동)부산광역시 동래구 사직동 90 - 39낙지볶음051-506-18542007-06-132022-10-3135.196204129.0591862023-02-14
3부산광역시 동래구일반음식점한식정림부산광역시 동래구 충렬대로237번길 31-3 (수안동)부산광역시 동래구 수안동 460 - 3약선요리051-554-19942012-11-062022-10-3135.202995129.0851812023-02-14
4부산광역시 동래구일반음식점식육(숯불구이)주식회사세연정부산광역시 동래구 충렬대로 149 (온천동)부산광역시 동래구 온천동 1438 - 5생갈비, 양념갈비051-506-66662003-05-312022-10-3135.205178129.0769512023-02-14
5부산광역시 동래구일반음식점회집청산도횟집부산광역시 동래구 명륜로 80-10 (수안동)부산광역시 동래구 수안동 191 - 7생선회051-552-95282012-11-062022-10-3135.201097129.0848262023-02-14
6부산광역시 동래구일반음식점분식마루한부산광역시 동래구 중앙대로1367번길 48-5 (온천동)부산광역시 동래구 온천동 751 - 12만두국051-553-30702012-11-062022-10-3135.210267129.0753932023-02-14
7부산광역시 동래구일반음식점탕류(보신용)맛나감자탕사직점부산광역시 동래구 사직북로13번길 26 (사직동)부산광역시 동래구 사직동 78 - 17감자탕051-503-36302013-11-012022-10-3135.196898129.0591952023-02-14
8부산광역시 동래구일반음식점한식명가부산광역시 동래구 충렬대로218번길 26 (수안동)부산광역시 동래구 수안동 2 - 5갈비051-553-59892003-05-312022-10-3135.200889129.0828682023-02-14
9부산광역시 동래구일반음식점한식명진생아구찜부산광역시 동래구 사직북로13번길 13-3 (사직동)부산광역시 동래구 사직동 91 - 3아구찜051-504-44452009-03-252022-10-3135.196621129.059962023-02-14
구군명업종업태업소명소재지주소(도로명)소재지주소(지번)메뉴전화번호지정일자재지정일자위도경도데이터기준일자
13부산광역시 동래구일반음식점한식새미골해물아구찜부산광역시 동래구 안연로 58-1 (안락동)부산광역시 동래구 안락동 633 - 9해물아구찜051-525-05552007-06-132022-10-3135.192707129.0995272023-02-14
14부산광역시 동래구일반음식점복어취급수궁복집부산광역시 동래구 충렬대로 296 (낙민동)부산광역시 동래구 낙민동 198 - 16복국051-555-21512011-04-252022-10-3135.199831129.0912552023-02-14
15부산광역시 동래구일반음식점한식논두렁추어탕부산광역시 동래구 명륜로139번길 42-5 (명륜동)부산광역시 동래구 명륜동 551 - 13추어탕051-553-57692012-11-062022-10-3135.206488129.0796592023-02-14
16부산광역시 동래구일반음식점한식대궐집부산광역시 동래구 동래로136번길 26 (복천동)부산광역시 동래구 복천동 319 - 3소갈비051-552-01272002-05-302022-10-3135.205082129.0846482023-02-14
17부산광역시 동래구일반음식점한식대하찹쌀아구찜부산광역시 동래구 사직북로28번길 145 (온천동)부산광역시 동래구 온천동 1256 - 17아구찜051-505-88622007-06-132022-10-3135.203199129.0653172023-02-14
18부산광역시 동래구일반음식점한식동래별장부산광역시 동래구 금강로123번길 12 (온천동)부산광역시 동래구 온천동 126 - 1한정식051-552-01572005-06-222022-10-3135.220842129.0792672023-02-14
19부산광역시 동래구일반음식점한식구기영 조방낙지부산광역시 동래구 명장로20번길 60 (명장동)부산광역시 동래구 명장동 63 - 4낙지전골, 낙지볶음051-528-70552003-05-312022-10-3135.203436129.1012642023-02-14
20부산광역시 동래구일반음식점중국식금문부산광역시 동래구 온천장로119번길 57 (온천동)부산광역시 동래구 온천동 144 - 30중식051-555-49872012-11-062022-10-3135.221874129.0817852023-02-14
21부산광역시 동래구일반음식점복어취급금수복국부산광역시 동래구 온천장로107번길 18 (온천동)부산광역시 동래구 온천동 137 - 12복국051-555-99122007-06-132022-10-3135.220544129.0833492023-02-14
22부산광역시 동래구일반음식점복어취급금수복국(동래점)부산광역시 동래구 충렬대로 210 (수안동)부산광역시 동래구 수안동 1 - 5복국051-553-77002007-06-132022-10-3135.202103129.0821272023-02-14