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 memory111.6 B

Variable types

Categorical3
Text5
DateTime3
Numeric2

Dataset

Description동래구 관내 모범음식점 현황에 대한 데이터로 업종, 업태, 업소명, 소재지, 메뉴, 전화번호, 지정일자, 재지정일자, 위도, 경도 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/3081196/fileData.do

Alerts

구군명 has constant value ""Constant
업종 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 started2024-03-14 10:48:01.994503
Analysis finished2024-03-14 10:48:04.442542
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 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

2024-03-14T19:48:04.630542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:48:04.915074image/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 size312.0 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

2024-03-14T19:48:05.213381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:48:05.499382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 23
100.0%

업태
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size312.0 B
한식
12 
식육(숯불구이)
4 
복어취급
3 
횟집
2 
중국식
 
1

Length

Max length8
Median length2
Mean length3.3478261
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row한식
2nd row중국식
3rd row복어취급
4th row복어취급
5th row한식

Common Values

ValueCountFrequency (%)
한식 12
52.2%
식육(숯불구이) 4
 
17.4%
복어취급 3
 
13.0%
횟집 2
 
8.7%
중국식 1
 
4.3%
일식 1
 
4.3%

Length

2024-03-14T19:48:05.834275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:48:06.197515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 12
52.2%
식육(숯불구이 4
 
17.4%
복어취급 3
 
13.0%
횟집 2
 
8.7%
중국식 1
 
4.3%
일식 1
 
4.3%

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T19:48:06.915209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length5.3913043
Min length2

Characters and Unicode

Total characters124
Distinct characters77
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

Unique23 ?
Unique (%)100.0%

Sample

1st row구기영 조방낙지
2nd row금문
3rd row금수복국 동래점
4th row금수복국 온천점
5th row논두렁추어탕
ValueCountFrequency (%)
금수복국 2
 
7.4%
구기영 1
 
3.7%
미조리식당 1
 
3.7%
주식회사세연정 1
 
3.7%
정림 1
 
3.7%
오륙도낙지 1
 
3.7%
안락점 1
 
3.7%
영남식육식당 1
 
3.7%
어가식당 1
 
3.7%
수궁복집 1
 
3.7%
Other values (16) 16
59.3%
2024-03-14T19:48:07.979066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 6
 
4.8%
점 4
 
3.2%
당 4
 
3.2%
구 4
 
3.2%
4
 
3.2%
국 3
 
2.4%
찜 3
 
2.4%
대 3
 
2.4%
금 3
 
2.4%
집 3
 
2.4%
Other values (67) 87
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
96.8%
Space Separator 4
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6
 
5.0%
점 4
 
3.3%
당 4
 
3.3%
구 4
 
3.3%
국 3
 
2.5%
찜 3
 
2.5%
대 3
 
2.5%
금 3
 
2.5%
집 3
 
2.5%
수 3
 
2.5%
Other values (66) 84
70.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
96.8%
Common 4
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6
 
5.0%
점 4
 
3.3%
당 4
 
3.3%
구 4
 
3.3%
국 3
 
2.5%
찜 3
 
2.5%
대 3
 
2.5%
금 3
 
2.5%
집 3
 
2.5%
수 3
 
2.5%
Other values (66) 84
70.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
96.8%
ASCII 4
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 6
 
5.0%
점 4
 
3.3%
당 4
 
3.3%
구 4
 
3.3%
국 3
 
2.5%
찜 3
 
2.5%
대 3
 
2.5%
금 3
 
2.5%
집 3
 
2.5%
수 3
 
2.5%
Other values (66) 84
70.0%
ASCII
ValueCountFrequency (%)
4
100.0%

소재지주소(도로명)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T19:48:08.815428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length27.391304
Min length24

Characters and Unicode

Total characters630
Distinct characters49
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 명장로20번길 60, 1,2층 (명장동)
2nd row부산광역시 동래구 온천장로119번길 57 (온천동)
3rd row부산광역시 동래구 충렬대로 210 (수안동)
4th row부산광역시 동래구 온천장로107번길 18 (온천동)
5th row부산광역시 동래구 명륜로139번길 42-5 (명륜동)
ValueCountFrequency (%)
부산광역시 23
19.7%
동래구 23
19.7%
온천동 8
 
6.8%
수안동 5
 
4.3%
충렬대로 4
 
3.4%
사직동 3
 
2.6%
안락동 3
 
2.6%
26 3
 
2.6%
사직북로13번길 2
 
1.7%
온천장로119번길 2
 
1.7%
Other values (40) 41
35.0%
2024-03-14T19:48:10.102909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
14.9%
동 47
 
7.5%
1 24
 
3.8%
래 24
 
3.8%
부 23
 
3.7%
광 23
 
3.7%
역 23
 
3.7%
시 23
 
3.7%
구 23
 
3.7%
산 23
 
3.7%
Other values (39) 303
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
59.5%
Decimal Number 106
 
16.8%
Space Separator 94
 
14.9%
Close Punctuation 23
 
3.7%
Open Punctuation 23
 
3.7%
Dash Punctuation 6
 
1.0%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
 
12.5%
래 24
 
6.4%
부 23
 
6.1%
광 23
 
6.1%
역 23
 
6.1%
시 23
 
6.1%
구 23
 
6.1%
산 23
 
6.1%
로 23
 
6.1%
길 17
 
4.5%
Other values (24) 126
33.6%
Decimal Number
ValueCountFrequency (%)
1 24
22.6%
2 18
17.0%
3 15
14.2%
6 10
9.4%
0 9
 
8.5%
5 8
 
7.5%
8 6
 
5.7%
9 6
 
5.7%
7 5
 
4.7%
4 5
 
4.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
59.5%
Common 255
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
 
12.5%
래 24
 
6.4%
부 23
 
6.1%
광 23
 
6.1%
역 23
 
6.1%
시 23
 
6.1%
구 23
 
6.1%
산 23
 
6.1%
로 23
 
6.1%
길 17
 
4.5%
Other values (24) 126
33.6%
Common
ValueCountFrequency (%)
94
36.9%
1 24
 
9.4%
) 23
 
9.0%
( 23
 
9.0%
2 18
 
7.1%
3 15
 
5.9%
6 10
 
3.9%
0 9
 
3.5%
5 8
 
3.1%
- 6
 
2.4%
Other values (5) 25
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
59.5%
ASCII 255
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
36.9%
1 24
 
9.4%
) 23
 
9.0%
( 23
 
9.0%
2 18
 
7.1%
3 15
 
5.9%
6 10
 
3.9%
0 9
 
3.5%
5 8
 
3.1%
- 6
 
2.4%
Other values (5) 25
 
9.8%
Hangul
ValueCountFrequency (%)
동 47
 
12.5%
래 24
 
6.4%
부 23
 
6.1%
광 23
 
6.1%
역 23
 
6.1%
시 23
 
6.1%
구 23
 
6.1%
산 23
 
6.1%
로 23
 
6.1%
길 17
 
4.5%
Other values (24) 126
33.6%

소재지주소(지번)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T19:48:10.836485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.26087
Min length18

Characters and Unicode

Total characters466
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 명장동 63-4
2nd row부산광역시 동래구 온천동 144-30
3rd row부산광역시 동래구 수안동 1-5
4th row부산광역시 동래구 온천동 137-12
5th row부산광역시 동래구 명륜동 551-13
ValueCountFrequency (%)
부산광역시 23
25.0%
동래구 23
25.0%
온천동 8
 
8.7%
수안동 5
 
5.4%
안락동 3
 
3.3%
사직동 3
 
3.3%
144-30 1
 
1.1%
268-10 1
 
1.1%
1438-5 1
 
1.1%
460-3 1
 
1.1%
Other values (23) 23
25.0%
2024-03-14T19:48:12.033650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
19.7%
동 46
 
9.9%
1 25
 
5.4%
부 23
 
4.9%
산 23
 
4.9%
광 23
 
4.9%
역 23
 
4.9%
시 23
 
4.9%
래 23
 
4.9%
구 23
 
4.9%
Other values (23) 142
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
54.3%
Decimal Number 98
 
21.0%
Space Separator 92
 
19.7%
Dash Punctuation 23
 
4.9%

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%
온 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 (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
54.3%
Common 213
45.7%

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%
온 8
 
3.2%
Other values (11) 29
11.5%
Common
ValueCountFrequency (%)
92
43.2%
1 25
 
11.7%
- 23
 
10.8%
3 13
 
6.1%
5 10
 
4.7%
2 9
 
4.2%
6 9
 
4.2%
7 8
 
3.8%
0 7
 
3.3%
9 7
 
3.3%
Other values (2) 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
54.3%
ASCII 213
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
43.2%
1 25
 
11.7%
- 23
 
10.8%
3 13
 
6.1%
5 10
 
4.7%
2 9
 
4.2%
6 9
 
4.2%
7 8
 
3.8%
0 7
 
3.3%
9 7
 
3.3%
Other values (2) 10
 
4.7%
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%
온 8
 
3.2%
Other values (11) 29
11.5%

메뉴
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T19:48:12.739253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length3.826087
Min length2

Characters and Unicode

Total characters88
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 row낙지전골,낙지볶음
2nd row중식
3rd row복국
4th row복국
5th row추어탕
ValueCountFrequency (%)
복국 3
 
12.5%
아구찜 2
 
8.3%
생선회 2
 
8.3%
보쌈,회 1
 
4.2%
생갈비 1
 
4.2%
낙지전골,낙지볶음 1
 
4.2%
돼지국밥 1
 
4.2%
약선요리 1
 
4.2%
낙지볶음 1
 
4.2%
한우숯불구이 1
 
4.2%
Other values (10) 10
41.7%
2024-03-14T19:48:13.855096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5
 
5.7%
생 4
 
4.5%
선 4
 
4.5%
회 4
 
4.5%
구 4
 
4.5%
갈 4
 
4.5%
비 4
 
4.5%
지 4
 
4.5%
, 4
 
4.5%
복 3
 
3.4%
Other values (36) 48
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
94.3%
Other Punctuation 4
 
4.5%
Space Separator 1
 
1.1%

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%
갈 4
 
4.8%
비 4
 
4.8%
지 4
 
4.8%
복 3
 
3.6%
낙 3
 
3.6%
Other values (34) 44
53.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
94.3%
Common 5
 
5.7%

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%
갈 4
 
4.8%
비 4
 
4.8%
지 4
 
4.8%
복 3
 
3.6%
낙 3
 
3.6%
Other values (34) 44
53.0%
Common
ValueCountFrequency (%)
, 4
80.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
94.3%
ASCII 5
 
5.7%

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%
갈 4
 
4.8%
비 4
 
4.8%
지 4
 
4.8%
복 3
 
3.6%
낙 3
 
3.6%
Other values (34) 44
53.0%
ASCII
ValueCountFrequency (%)
, 4
80.0%
1
 
20.0%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T19:48:14.344441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.782609
Min length13

Characters and Unicode

Total characters317
Distinct characters12
Distinct categories3 ?
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 row 051- 528-7055
2nd row 051- 555-4987
3rd row 051- 553-7700
4th row 051- 555-9912
5th row 051- 553-5769
ValueCountFrequency (%)
051 15
32.6%
051-552 2
 
4.3%
051-554 2
 
4.3%
9825 1
 
2.2%
6666 1
 
2.2%
051-506 1
 
2.2%
1994 1
 
2.2%
506-1854 1
 
2.2%
7222 1
 
2.2%
051-528 1
 
2.2%
Other values (20) 20
43.5%
2024-03-14T19:48:15.083591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
24.6%
- 46
14.5%
41
12.9%
0 38
12.0%
1 35
11.0%
2 16
 
5.0%
9 13
 
4.1%
7 11
 
3.5%
6 11
 
3.5%
3 10
 
3.2%
Other values (2) 18
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
72.6%
Dash Punctuation 46
 
14.5%
Space Separator 41
 
12.9%

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%
8 9
 
3.9%
4 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 317
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
24.6%
- 46
14.5%
41
12.9%
0 38
12.0%
1 35
11.0%
2 16
 
5.0%
9 13
 
4.1%
7 11
 
3.5%
6 11
 
3.5%
3 10
 
3.2%
Other values (2) 18
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
24.6%
- 46
14.5%
41
12.9%
0 38
12.0%
1 35
11.0%
2 16
 
5.0%
9 13
 
4.1%
7 11
 
3.5%
6 11
 
3.5%
3 10
 
3.2%
Other values (2) 18
 
5.7%

지정일자
Date

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2002-05-30 00:00:00
Maximum2016-10-31 00:00:00
2024-03-14T19:48:15.283120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:15.474591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재지정일자
Date

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2022-11-01 00:00:00
Maximum2023-10-30 00:00:00
2024-03-14T19:48:15.639661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:15.807212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

위도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.20545
Minimum35.192704
Maximum35.221871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:48:16.008619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.192704
5-th percentile35.196216
Q135.199435
median35.20301
Q335.208378
95-th percentile35.221696
Maximum35.221871
Range0.029166572
Interquartile range (IQR)0.0089427248

Descriptive statistics

Standard deviation0.0093264039
Coefficient of variation (CV)0.00026491364
Kurtosis-0.54440861
Mean35.20545
Median Absolute Deviation (MAD)0.0039650202
Skewness0.865413
Sum809.72536
Variance8.6981809 × 10-5
MonotonicityNot monotonic
2024-03-14T19:48:16.381365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.203438142 1
 
4.3%
35.2218708287 1
 
4.3%
35.2010989832 1
 
4.3%
35.2051766557 1
 
4.3%
35.2030102105 1
 
4.3%
35.1962040323 1
 
4.3%
35.1963242671 1
 
4.3%
35.2211550981 1
 
4.3%
35.1998256827 1
 
4.3%
35.1927042564 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
35.1927042564 1
4.3%
35.1962040323 1
4.3%
35.1963242671 1
4.3%
35.1966160119 1
4.3%
35.1968939314 1
4.3%
35.1990451903 1
4.3%
35.1998256827 1
4.3%
35.2008376863 1
4.3%
35.2008822632 1
4.3%
35.2010989832 1
4.3%
ValueCountFrequency (%)
35.2218708287 1
4.3%
35.2217566034 1
4.3%
35.2211550981 1
4.3%
35.220839998 1
4.3%
35.2205366449 1
4.3%
35.2102656623 1
4.3%
35.2064906603 1
4.3%
35.2051766557 1
4.3%
35.2050879905 1
4.3%
35.203438142 1
4.3%

경도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08199
Minimum129.05919
Maximum129.10265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:48:16.759083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05919
5-th percentile129.05927
Q1129.0781
median129.08287
Q3129.08601
95-th percentile129.10109
Maximum129.10265
Range0.043460094
Interquartile range (IQR)0.007912557

Descriptive statistics

Standard deviation0.012431711
Coefficient of variation (CV)9.6308643 × 10-5
Kurtosis-0.077364467
Mean129.08199
Median Absolute Deviation (MAD)0.0039900806
Skewness-0.33049128
Sum2968.8858
Variance0.00015454745
MonotonicityNot monotonic
2024-03-14T19:48:17.146013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
129.1012617657 1
 
4.3%
129.0817836698 1
 
4.3%
129.0848177493 1
 
4.3%
129.0769367219 1
 
4.3%
129.085164475 1
 
4.3%
129.0591888008 1
 
4.3%
129.1026488949 1
 
4.3%
129.0826866234 1
 
4.3%
129.0912572029 1
 
4.3%
129.0995236688 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
129.0591888008 1
4.3%
129.0591956795 1
4.3%
129.0599479188 1
4.3%
129.0653174609 1
4.3%
129.0753807112 1
4.3%
129.0769367219 1
4.3%
129.0792628938 1
4.3%
129.0796584248 1
4.3%
129.0817836698 1
4.3%
129.0821238383 1
4.3%
ValueCountFrequency (%)
129.1026488949 1
4.3%
129.1012617657 1
4.3%
129.0995236688 1
4.3%
129.0983806773 1
4.3%
129.0912572029 1
4.3%
129.0868602546 1
4.3%
129.085164475 1
4.3%
129.0848177493 1
4.3%
129.0846520645 1
4.3%
129.0835615261 1
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2024-02-14 00:00:00
Maximum2024-02-14 00:00:00
2024-03-14T19:48:17.478130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:17.774410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:48:03.076243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:02.585339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:03.316434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:48:02.838084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:48:17.993012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태업소명소재지주소(도로명)소재지주소(지번)메뉴전화번호지정일자재지정일자위도경도
업태1.0001.0001.0001.0001.0001.0000.3380.0000.0000.000
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
메뉴1.0001.0001.0001.0001.0001.0000.8201.0000.9000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지정일자0.3381.0001.0001.0000.8201.0001.0000.4880.0000.485
재지정일자0.0001.0001.0001.0001.0001.0000.4881.0000.0000.000
위도0.0001.0001.0001.0000.9001.0000.0000.0001.0000.711
경도0.0001.0001.0001.0000.0001.0000.4850.0000.7111.000
2024-03-14T19:48:18.294311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태
위도1.000-0.1770.000
경도-0.1771.0000.000
업태0.0000.0001.000

Missing values

2024-03-14T19:48:03.675053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:48:04.225211image/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 동래구일반음식점한식구기영 조방낙지부산광역시 동래구 명장로20번길 60, 1,2층 (명장동)부산광역시 동래구 명장동 63-4낙지전골,낙지볶음051- 528-70552003-05-312023-10-3035.203438129.1012622024-02-14
1부산광역시 동래구일반음식점중국식금문부산광역시 동래구 온천장로119번길 57 (온천동)부산광역시 동래구 온천동 144-30중식051- 555-49872012-11-062023-10-3035.221871129.0817842024-02-14
2부산광역시 동래구일반음식점복어취급금수복국 동래점부산광역시 동래구 충렬대로 210 (수안동)부산광역시 동래구 수안동 1-5복국051- 553-77002007-06-132023-10-3035.202108129.0821242024-02-14
3부산광역시 동래구일반음식점복어취급금수복국 온천점부산광역시 동래구 온천장로107번길 18 (온천동)부산광역시 동래구 온천동 137-12복국051- 555-99122007-06-132023-10-3035.220537129.0833412024-02-14
4부산광역시 동래구일반음식점한식논두렁추어탕부산광역시 동래구 명륜로139번길 42-5 (명륜동)부산광역시 동래구 명륜동 551-13추어탕051- 553-57692012-11-062023-10-3035.206491129.0796582024-02-14
5부산광역시 동래구일반음식점식육(숯불구이)대궐집부산광역시 동래구 동래로136번길 26 (복천동)부산광역시 동래구 복천동 319-3소갈비051-552 -01272002-05-302023-10-3035.205088129.0846522024-02-14
6부산광역시 동래구일반음식점한식대하찹쌀아구찜부산광역시 동래구 사직북로28번길 145 (온천동)부산광역시 동래구 온천동 1256-17아구찜051- 505-88622007-06-132023-10-3035.203191129.0653172024-02-14
7부산광역시 동래구일반음식점한식동래별장부산광역시 동래구 금강로123번길 12 (온천동)부산광역시 동래구 온천동 126-1한정식051- 552-01572005-06-222022-11-0135.22084129.0792632024-02-14
8부산광역시 동래구일반음식점한식마루한부산광역시 동래구 중앙대로1367번길 48-5 (온천동)부산광역시 동래구 온천동 751-12만두국051- 553-30702012-11-062023-10-3035.210266129.0753812024-02-14
9부산광역시 동래구일반음식점한식맛나감자탕사직점부산광역시 동래구 사직북로13번길 26 (사직동)부산광역시 동래구 사직동 78-17감자탕051- 503-36302013-11-012023-10-3035.196894129.0591962024-02-14
구군명업종업태업소명소재지주소(도로명)소재지주소(지번)메뉴전화번호지정일자재지정일자위도경도데이터기준일자
13부산광역시 동래구일반음식점한식밀양삼대국밥부산광역시 동래구 충렬대로359번길 23 (안락동)부산광역시 동래구 안락동 425-27돼지국밥051-529 -98252009-03-252023-10-3035.199045129.0983812024-02-14
14부산광역시 동래구일반음식점한식봉식당부산광역시 동래구 온천장로119번길 26 (온천동)부산광역시 동래구 온천동 150-15보쌈,회051-556 -99112010-06-102023-10-3035.221757129.0835622024-02-14
15부산광역시 동래구일반음식점한식새미골해물아구찜부산광역시 동래구 안연로 58-1 (안락동)부산광역시 동래구 안락동 633-9해물아구찜051- 525-05552007-06-132023-10-3035.192704129.0995242024-02-14
16부산광역시 동래구일반음식점복어취급수궁복집부산광역시 동래구 충렬대로 296 (낙민동)부산광역시 동래구 낙민동 198-16복국051- 555-21512011-04-252023-10-3035.199826129.0912572024-02-14
17부산광역시 동래구일반음식점일식어가식당부산광역시 동래구 온천장로107번길 32 (온천동)부산광역시 동래구 온천동 137-0생선회,초밥051-554 -03312005-06-222023-10-3035.221155129.0826872024-02-14
18부산광역시 동래구일반음식점식육(숯불구이)영남식육식당 안락점부산광역시 동래구 충렬대로 406 (안락동)부산광역시 동래구 안락동 606-21한우숯불구이051-528 -72222016-10-312023-10-3035.196324129.1026492024-02-14
19부산광역시 동래구일반음식점한식오륙도낙지부산광역시 동래구 사직북로5번길 30 (사직동)부산광역시 동래구 사직동 90-39낙지볶음051- 506-18542007-06-132023-10-3035.196204129.0591892024-02-14
20부산광역시 동래구일반음식점한식정림부산광역시 동래구 충렬대로237번길 31-3 (수안동)부산광역시 동래구 수안동 460-3약선요리051-554 -19942012-11-062023-10-3035.20301129.0851642024-02-14
21부산광역시 동래구일반음식점식육(숯불구이)주식회사세연정부산광역시 동래구 충렬대로 149 (온천동)부산광역시 동래구 온천동 1438-5생갈비, 양념갈비051-506 -66662003-05-312023-10-3035.205177129.0769372024-02-14
22부산광역시 동래구일반음식점횟집청산도횟집부산광역시 동래구 명륜로 80-10 (수안동)부산광역시 동래구 수안동 191-7생선회051-552 -95282012-11-062023-10-3035.201099129.0848182024-02-14