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 memory43.9 B

Variable types

Numeric1
Text4

Dataset

Description부산광역시연제구_물가안정착한가격모범업소현황_20230411
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15067671

Alerts

연번 has unique valuesUnique
업 소 명 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:29:40.226270
Analysis finished2023-12-10 16:29:40.856420
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T01:29:40.952014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T01:29:41.111911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

업 소 명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:29:41.363807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.9777778
Min length2

Characters and Unicode

Total characters224
Distinct characters138
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

Unique45 ?
Unique (%)100.0%

Sample

1st row청담골
2nd row우정
3rd row책임밧데리
4th row참추어탕
5th row평양냉면
ValueCountFrequency (%)
청담골 1
 
2.1%
맨남성컷전문 1
 
2.1%
원조개성손만두 1
 
2.1%
태양세탁 1
 
2.1%
도리오헤어 1
 
2.1%
보거스 1
 
2.1%
고깃집 1
 
2.1%
유진모터스 1
 
2.1%
연산식당 1
 
2.1%
포항식당 1
 
2.1%
Other values (37) 37
78.7%
2023-12-11T01:29:41.781188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 9
 
4.0%
미 7
 
3.1%
국 6
 
2.7%
당 6
 
2.7%
리 4
 
1.8%
담 4
 
1.8%
수 4
 
1.8%
연 4
 
1.8%
우 4
 
1.8%
오 3
 
1.3%
Other values (128) 173
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
98.7%
Space Separator 2
 
0.9%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 9
 
4.1%
미 7
 
3.2%
국 6
 
2.7%
당 6
 
2.7%
리 4
 
1.8%
담 4
 
1.8%
수 4
 
1.8%
연 4
 
1.8%
우 4
 
1.8%
오 3
 
1.4%
Other values (126) 170
76.9%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
98.7%
Common 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 9
 
4.1%
미 7
 
3.2%
국 6
 
2.7%
당 6
 
2.7%
리 4
 
1.8%
담 4
 
1.8%
수 4
 
1.8%
연 4
 
1.8%
우 4
 
1.8%
오 3
 
1.4%
Other values (126) 170
76.9%
Common
ValueCountFrequency (%)
2
66.7%
& 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
98.7%
ASCII 3
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 9
 
4.1%
미 7
 
3.2%
국 6
 
2.7%
당 6
 
2.7%
리 4
 
1.8%
담 4
 
1.8%
수 4
 
1.8%
연 4
 
1.8%
우 4
 
1.8%
오 3
 
1.4%
Other values (126) 170
76.9%
ASCII
ValueCountFrequency (%)
2
66.7%
& 1
33.3%

착한가격품목
Text

Distinct35
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:29:41.983822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length3.5555556
Min length2

Characters and Unicode

Total characters160
Distinct characters78
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

Unique30 ?
Unique (%)66.7%

Sample

1st row김치찌개
2nd row돌솥비빔밥
3rd row차량밧데리
4th row추어탕
5th row불고기정식
ValueCountFrequency (%)
헤어컷 5
 
11.1%
삼겹살 4
 
8.9%
짜장면 2
 
4.4%
세탁 2
 
4.4%
각종찌개 2
 
4.4%
김치찌개 1
 
2.2%
선지국밥 1
 
2.2%
로스까스 1
 
2.2%
백반 1
 
2.2%
활전복한방삼계탕 1
 
2.2%
Other values (25) 25
55.6%
2023-12-11T01:29:42.372686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 6
 
3.8%
어 6
 
3.8%
헤 5
 
3.1%
장 5
 
3.1%
탕 5
 
3.1%
찌 5
 
3.1%
개 5
 
3.1%
컷 5
 
3.1%
삼 5
 
3.1%
지 4
 
2.5%
Other values (68) 109
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
98.8%
Math Symbol 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 6
 
3.8%
어 6
 
3.8%
헤 5
 
3.2%
장 5
 
3.2%
탕 5
 
3.2%
찌 5
 
3.2%
개 5
 
3.2%
컷 5
 
3.2%
삼 5
 
3.2%
지 4
 
2.5%
Other values (67) 107
67.7%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
98.8%
Common 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 6
 
3.8%
어 6
 
3.8%
헤 5
 
3.2%
장 5
 
3.2%
탕 5
 
3.2%
찌 5
 
3.2%
개 5
 
3.2%
컷 5
 
3.2%
삼 5
 
3.2%
지 4
 
2.5%
Other values (67) 107
67.7%
Common
ValueCountFrequency (%)
+ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
98.8%
ASCII 2
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 6
 
3.8%
어 6
 
3.8%
헤 5
 
3.2%
장 5
 
3.2%
탕 5
 
3.2%
찌 5
 
3.2%
개 5
 
3.2%
컷 5
 
3.2%
삼 5
 
3.2%
지 4
 
2.5%
Other values (67) 107
67.7%
ASCII
ValueCountFrequency (%)
+ 2
100.0%

주 소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:29:42.660079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length16.6
Min length11

Characters and Unicode

Total characters747
Distinct characters56
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

Unique45 ?
Unique (%)100.0%

Sample

1st row월드컵대로188번길 40 (거제1동)
2nd row교대로 9 (거제1동)
3rd row거제천로 195-1 (거제1동)
4th row월드컵대로 227-1 (거제2동)
5th row아시아드대로28번길 13 (거제2동)
ValueCountFrequency (%)
연산2동 6
 
4.8%
연산9동 6
 
4.8%
연산5동 4
 
3.2%
연산6동 4
 
3.2%
거제1동 3
 
2.4%
연수로87번길 3
 
2.4%
연산1동 3
 
2.4%
40 3
 
2.4%
거제2동 3
 
2.4%
배산로 3
 
2.4%
Other values (80) 87
69.6%
2023-12-11T01:29:43.056026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
10.8%
동 47
 
6.3%
1 46
 
6.2%
( 45
 
6.0%
) 45
 
6.0%
로 45
 
6.0%
연 45
 
6.0%
산 40
 
5.4%
2 39
 
5.2%
번 25
 
3.3%
Other values (46) 289
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
48.1%
Decimal Number 207
27.7%
Space Separator 81
 
10.8%
Open Punctuation 45
 
6.0%
Close Punctuation 45
 
6.0%
Dash Punctuation 9
 
1.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
13.1%
로 45
12.5%
연 45
12.5%
산 40
11.1%
번 25
 
7.0%
길 25
 
7.0%
제 13
 
3.6%
거 12
 
3.3%
대 11
 
3.1%
천 9
 
2.5%
Other values (31) 87
24.2%
Decimal Number
ValueCountFrequency (%)
1 46
22.2%
2 39
18.8%
5 18
 
8.7%
3 18
 
8.7%
8 17
 
8.2%
9 15
 
7.2%
7 14
 
6.8%
6 14
 
6.8%
4 14
 
6.8%
0 12
 
5.8%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 388
51.9%
Hangul 359
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
13.1%
로 45
12.5%
연 45
12.5%
산 40
11.1%
번 25
 
7.0%
길 25
 
7.0%
제 13
 
3.6%
거 12
 
3.3%
대 11
 
3.1%
천 9
 
2.5%
Other values (31) 87
24.2%
Common
ValueCountFrequency (%)
81
20.9%
1 46
11.9%
( 45
11.6%
) 45
11.6%
2 39
10.1%
5 18
 
4.6%
3 18
 
4.6%
8 17
 
4.4%
9 15
 
3.9%
7 14
 
3.6%
Other values (5) 50
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 388
51.9%
Hangul 359
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
20.9%
1 46
11.9%
( 45
11.6%
) 45
11.6%
2 39
10.1%
5 18
 
4.6%
3 18
 
4.6%
8 17
 
4.4%
9 15
 
3.9%
7 14
 
3.6%
Other values (5) 50
12.9%
Hangul
ValueCountFrequency (%)
동 47
13.1%
로 45
12.5%
연 45
12.5%
산 40
11.1%
번 25
 
7.0%
길 25
 
7.0%
제 13
 
3.6%
거 12
 
3.3%
대 11
 
3.1%
천 9
 
2.5%
Other values (31) 87
24.2%

연락처
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:29:43.270327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.844444
Min length6

Characters and Unicode

Total characters533
Distinct characters18
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

Unique42 ?
Unique (%)93.3%

Sample

1st row051-861-5582
2nd row051-504-3072
3rd row051-865-5151
4th row051-507-1717
5th row051-502-8038
ValueCountFrequency (%)
개인정보포함 3
 
6.7%
051-868-8828 1
 
2.2%
051-756-0815 1
 
2.2%
051-867-9211 1
 
2.2%
051-864-2466 1
 
2.2%
051-867-8993 1
 
2.2%
051-758-2046 1
 
2.2%
051-866-5258 1
 
2.2%
051-867-1713 1
 
2.2%
051-751-2911 1
 
2.2%
Other values (33) 33
73.3%
2023-12-11T01:29:43.653630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 84
15.8%
5 79
14.8%
1 75
14.1%
0 70
13.1%
8 61
11.4%
6 37
6.9%
2 29
 
5.4%
7 25
 
4.7%
3 18
 
3.4%
9 14
 
2.6%
Other values (8) 41
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
78.8%
Dash Punctuation 84
 
15.8%
Other Letter 18
 
3.4%
Space Separator 11
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 79
18.8%
1 75
17.9%
0 70
16.7%
8 61
14.5%
6 37
8.8%
2 29
 
6.9%
7 25
 
6.0%
3 18
 
4.3%
9 14
 
3.3%
4 12
 
2.9%
Other Letter
ValueCountFrequency (%)
인 3
16.7%
함 3
16.7%
포 3
16.7%
보 3
16.7%
정 3
16.7%
개 3
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 515
96.6%
Hangul 18
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 84
16.3%
5 79
15.3%
1 75
14.6%
0 70
13.6%
8 61
11.8%
6 37
7.2%
2 29
 
5.6%
7 25
 
4.9%
3 18
 
3.5%
9 14
 
2.7%
Other values (2) 23
 
4.5%
Hangul
ValueCountFrequency (%)
인 3
16.7%
함 3
16.7%
포 3
16.7%
보 3
16.7%
정 3
16.7%
개 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 515
96.6%
Hangul 18
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 84
16.3%
5 79
15.3%
1 75
14.6%
0 70
13.6%
8 61
11.8%
6 37
7.2%
2 29
 
5.6%
7 25
 
4.9%
3 18
 
3.5%
9 14
 
2.7%
Other values (2) 23
 
4.5%
Hangul
ValueCountFrequency (%)
인 3
16.7%
함 3
16.7%
포 3
16.7%
보 3
16.7%
정 3
16.7%
개 3
16.7%

Interactions

2023-12-11T01:29:40.567718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:29:43.749374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업 소 명착한가격품목주 소연락처
연번1.0001.0000.0001.0000.944
업 소 명1.0001.0001.0001.0001.000
착한가격품목0.0001.0001.0001.0000.989
주 소1.0001.0001.0001.0001.000
연락처0.9441.0000.9891.0001.000

Missing values

2023-12-11T01:29:40.692636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:29:40.814222image/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

연번업 소 명착한가격품목주 소연락처
01청담골김치찌개월드컵대로188번길 40 (거제1동)051-861-5582
12우정돌솥비빔밥교대로 9 (거제1동)051-504-3072
23책임밧데리차량밧데리거제천로 195-1 (거제1동)051-865-5151
34참추어탕추어탕월드컵대로 227-1 (거제2동)051-507-1717
45평양냉면불고기정식아시아드대로28번길 13 (거제2동)051-502-8038
56반도헤어컷월드컵대로235번길 33 (거제2동)051-502-0298
67멧집찌개각종찌개거제시장로14번길 52 (거제3동)051-852-4458
78풍미회초밥생선초밥거제대로178번길 67 (거제3동)051-868-1156
89토담식당두루치기과정로 335-1 (연산1동)051-851-0006
910충남반점짜장면반송로 50-8 (연산1동)051-866-0222
연번업 소 명착한가격품목주 소연락처
3536호텔오마이숙박과정로191번길 59 (연산9동)051-751-5800
3637최짬뽕달인짬뽕과정로 105-7 (연산9동)051-757-3183
3738맨인블랙헤어컷과정로191번가길 62 (연산9동)051-761-0833
3839진미국수청국장종합운동장로 24(거제2동)051-505-9329
3940미를담다&미담삼계탕활전복한방삼계탕연수로11번길 110(연산2동)051-711-0353
4041민수네집백반마곡천로 32(연산6동)051-865-0811
4142아우미돈까스로스까스배산로 1(연산6동)051-865-7604
4243연동본가해장국선지국밥고정로 302-1(연산8동)051-861-0928
4344엄마국수부추수제비쌍미천로152번길 4(연산1동)개인정보포함
4445송하화로구이등심++온천천남로 10(연산8동)051-868-9283