Overview

Dataset statistics

Number of variables24
Number of observations42
Missing cells56
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory205.1 B

Variable types

Numeric7
Categorical11
Text4
DateTime2

Dataset

Description전라남도 고흥군 제과점영업 현황에 대한 데이터로 상세영업상태명, 소재지전체주소, 사업장명, 위생업태명, 소재지면적, 급수시설구분명, 시설총규모 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090845/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
폐업일자 has 16 (38.1%) missing valuesMissing
도로명전체주소 has 19 (45.2%) missing valuesMissing
도로명우편번호 has 19 (45.2%) missing valuesMissing
좌표정보(x) has 1 (2.4%) missing valuesMissing
좌표정보(y) has 1 (2.4%) missing valuesMissing
순번 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:17:20.452692
Analysis finished2023-12-12 19:17:20.827394
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:20.918417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-13T04:17:21.071840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
제과점영업
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 42
100.0%

Length

2023-12-13T04:17:21.211528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:21.355753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 42
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
07_22_18_P
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_18_P
2nd row07_22_18_P
3rd row07_22_18_P
4th row07_22_18_P
5th row07_22_18_P

Common Values

ValueCountFrequency (%)
07_22_18_P 42
100.0%

Length

2023-12-13T04:17:21.469471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:21.598850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 42
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
4880000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4880000
2nd row4880000
3rd row4880000
4th row4880000
5th row4880000

Common Values

ValueCountFrequency (%)
4880000 42
100.0%

Length

2023-12-13T04:17:21.772984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:21.902812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 42
100.0%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T04:17:22.111103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters924
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

Unique42 ?
Unique (%)100.0%

Sample

1st row4880000-121-2019-00001
2nd row4880000-121-2012-00001
3rd row4880000-121-2000-00006
4th row4880000-121-2002-00010
5th row4880000-121-2004-00006
ValueCountFrequency (%)
4880000-121-2019-00001 1
 
2.4%
4880000-121-2010-00003 1
 
2.4%
4880000-121-1999-00020 1
 
2.4%
4880000-121-2004-00002 1
 
2.4%
4880000-121-2004-00004 1
 
2.4%
4880000-121-2004-00007 1
 
2.4%
4880000-121-2005-00002 1
 
2.4%
4880000-121-2007-00001 1
 
2.4%
4880000-121-2009-00002 1
 
2.4%
4880000-121-2010-00002 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T04:17:22.467309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 394
42.6%
- 126
 
13.6%
1 122
 
13.2%
2 94
 
10.2%
8 89
 
9.6%
4 50
 
5.4%
9 25
 
2.7%
7 9
 
1.0%
3 6
 
0.6%
5 5
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 798
86.4%
Dash Punctuation 126
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 394
49.4%
1 122
 
15.3%
2 94
 
11.8%
8 89
 
11.2%
4 50
 
6.3%
9 25
 
3.1%
7 9
 
1.1%
3 6
 
0.8%
5 5
 
0.6%
6 4
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 394
42.6%
- 126
 
13.6%
1 122
 
13.2%
2 94
 
10.2%
8 89
 
9.6%
4 50
 
5.4%
9 25
 
2.7%
7 9
 
1.0%
3 6
 
0.6%
5 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 394
42.6%
- 126
 
13.6%
1 122
 
13.2%
2 94
 
10.2%
8 89
 
9.6%
4 50
 
5.4%
9 25
 
2.7%
7 9
 
1.0%
3 6
 
0.6%
5 5
 
0.5%

인허가일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1986-02-28 00:00:00
Maximum2021-07-30 00:00:00
2023-12-13T04:17:22.643427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:17:22.833732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
26 
1
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 26
61.9%
1 16
38.1%

Length

2023-12-13T04:17:22.978004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:23.117055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
61.9%
1 16
38.1%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
26 
영업/정상
16 

Length

Max length5
Median length2
Mean length3.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 26
61.9%
영업/정상 16
38.1%

Length

2023-12-13T04:17:23.246145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:23.356646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
61.9%
영업/정상 16
38.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
26 
1
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 26
61.9%
1 16
38.1%

Length

2023-12-13T04:17:23.461256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:23.566556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 26
61.9%
1 16
38.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
26 
영업
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
61.9%
영업 16
38.1%

Length

2023-12-13T04:17:23.694654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:23.828875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
61.9%
영업 16
38.1%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)92.3%
Missing16
Missing (%)38.1%
Memory size468.0 B
Minimum2005-11-07 00:00:00
Maximum2020-01-20 00:00:00
2023-12-13T04:17:23.949783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:17:24.114010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

소재지면적
Real number (ℝ)

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.849524
Minimum3.3
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:24.264835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile10
Q120.75
median36.55
Q353.3
95-th percentile100.346
Maximum144
Range140.7
Interquartile range (IQR)32.55

Descriptive statistics

Standard deviation29.344152
Coefficient of variation (CV)0.70118245
Kurtosis3.247235
Mean41.849524
Median Absolute Deviation (MAD)16.825
Skewness1.5385604
Sum1757.68
Variance861.07923
MonotonicityNot monotonic
2023-12-13T04:17:24.425749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
15.0 3
 
7.1%
33.0 2
 
4.8%
10.0 2
 
4.8%
36.0 2
 
4.8%
40.0 2
 
4.8%
3.3 2
 
4.8%
35.79 2
 
4.8%
24.3 1
 
2.4%
52.25 1
 
2.4%
45.46 1
 
2.4%
Other values (24) 24
57.1%
ValueCountFrequency (%)
3.3 2
4.8%
10.0 2
4.8%
13.0 1
 
2.4%
15.0 3
7.1%
16.5 1
 
2.4%
18.18 1
 
2.4%
20.0 1
 
2.4%
23.0 1
 
2.4%
23.76 1
 
2.4%
24.3 1
 
2.4%
ValueCountFrequency (%)
144.0 1
2.4%
119.22 1
2.4%
101.9 1
2.4%
70.82 1
2.4%
70.0 1
2.4%
68.0 1
2.4%
62.8 1
2.4%
62.7 1
2.4%
59.54 1
2.4%
58.0 1
2.4%

소재지우편번호
Real number (ℝ)

Distinct13
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548857.95
Minimum548802
Maximum548943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:24.553990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum548802
5-th percentile548802
Q1548802.5
median548856
Q3548905
95-th percentile548930.55
Maximum548943
Range141
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation51.761626
Coefficient of variation (CV)9.4307874 × 10-5
Kurtosis-1.8391352
Mean548857.95
Median Absolute Deviation (MAD)51
Skewness0.052422139
Sum23052034
Variance2679.266
MonotonicityNot monotonic
2023-12-13T04:17:24.677212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
548802 11
26.2%
548905 10
23.8%
548805 5
11.9%
548831 4
 
9.5%
548931 2
 
4.8%
548892 2
 
4.8%
548903 2
 
4.8%
548804 1
 
2.4%
548881 1
 
2.4%
548922 1
 
2.4%
Other values (3) 3
 
7.1%
ValueCountFrequency (%)
548802 11
26.2%
548804 1
 
2.4%
548805 5
11.9%
548831 4
 
9.5%
548881 1
 
2.4%
548892 2
 
4.8%
548903 2
 
4.8%
548904 1
 
2.4%
548905 10
23.8%
548907 1
 
2.4%
ValueCountFrequency (%)
548943 1
 
2.4%
548931 2
 
4.8%
548922 1
 
2.4%
548907 1
 
2.4%
548905 10
23.8%
548904 1
 
2.4%
548903 2
 
4.8%
548892 2
 
4.8%
548881 1
 
2.4%
548831 4
 
9.5%

소재지전체주소
Text

Distinct38
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T04:17:24.927031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length25.309524
Min length22

Characters and Unicode

Total characters1063
Distinct characters60
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

Unique35 ?
Unique (%)83.3%

Sample

1st row전라남도 고흥군 고흥읍 남계리 1038번지
2nd row전라남도 고흥군 도양읍 봉암리 3190번지
3rd row전라남도 고흥군 고흥읍 호형리 1225번지
4th row전라남도 고흥군 고흥읍 남계리 925-7번지
5th row전라남도 고흥군 금산면 대흥리 458번지 (금산농협내)
ValueCountFrequency (%)
전라남도 42
19.1%
고흥군 42
19.1%
고흥읍 17
 
7.7%
도양읍 14
 
6.4%
봉암리 14
 
6.4%
남계리 11
 
5.0%
서문리 5
 
2.3%
과역면 4
 
1.8%
과역리 4
 
1.8%
3190번지 3
 
1.4%
Other values (55) 64
29.1%
2023-12-13T04:17:25.383894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
16.7%
흥 62
 
5.8%
도 60
 
5.6%
고 59
 
5.6%
남 53
 
5.0%
1 48
 
4.5%
전 42
 
4.0%
리 42
 
4.0%
군 42
 
4.0%
라 42
 
4.0%
Other values (50) 435
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
61.6%
Decimal Number 193
 
18.2%
Space Separator 178
 
16.7%
Dash Punctuation 29
 
2.7%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 62
 
9.5%
도 60
 
9.2%
고 59
 
9.0%
남 53
 
8.1%
전 42
 
6.4%
리 42
 
6.4%
군 42
 
6.4%
라 42
 
6.4%
지 38
 
5.8%
번 38
 
5.8%
Other values (36) 177
27.0%
Decimal Number
ValueCountFrequency (%)
1 48
24.9%
2 33
17.1%
3 20
10.4%
5 19
 
9.8%
6 17
 
8.8%
9 15
 
7.8%
0 14
 
7.3%
7 10
 
5.2%
8 9
 
4.7%
4 8
 
4.1%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
61.6%
Common 408
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 62
 
9.5%
도 60
 
9.2%
고 59
 
9.0%
남 53
 
8.1%
전 42
 
6.4%
리 42
 
6.4%
군 42
 
6.4%
라 42
 
6.4%
지 38
 
5.8%
번 38
 
5.8%
Other values (36) 177
27.0%
Common
ValueCountFrequency (%)
178
43.6%
1 48
 
11.8%
2 33
 
8.1%
- 29
 
7.1%
3 20
 
4.9%
5 19
 
4.7%
6 17
 
4.2%
9 15
 
3.7%
0 14
 
3.4%
7 10
 
2.5%
Other values (4) 25
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
61.6%
ASCII 408
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
43.6%
1 48
 
11.8%
2 33
 
8.1%
- 29
 
7.1%
3 20
 
4.9%
5 19
 
4.7%
6 17
 
4.2%
9 15
 
3.7%
0 14
 
3.4%
7 10
 
2.5%
Other values (4) 25
 
6.1%
Hangul
ValueCountFrequency (%)
흥 62
 
9.5%
도 60
 
9.2%
고 59
 
9.0%
남 53
 
8.1%
전 42
 
6.4%
리 42
 
6.4%
군 42
 
6.4%
라 42
 
6.4%
지 38
 
5.8%
번 38
 
5.8%
Other values (36) 177
27.0%

도로명전체주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing19
Missing (%)45.2%
Memory size468.0 B
2023-12-13T04:17:25.627252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.521739
Min length19

Characters and Unicode

Total characters541
Distinct characters66
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

Unique21 ?
Unique (%)91.3%

Sample

1st row전라남도 고흥군 고흥읍 터미널길 3, 102,103호
2nd row전라남도 고흥군 도양읍 우주항공로 21
3rd row전라남도 고흥군 고흥읍 봉동주공길 44
4th row전라남도 고흥군 고흥읍 봉황길 42
5th row전라남도 고흥군 금산면 금산중촌길 7-2
ValueCountFrequency (%)
전라남도 23
18.4%
고흥군 23
18.4%
고흥읍 10
 
8.0%
도양읍 6
 
4.8%
1층 4
 
3.2%
비봉로 3
 
2.4%
고흥로 3
 
2.4%
봉동주공길 3
 
2.4%
우주항공로 3
 
2.4%
21 2
 
1.6%
Other values (39) 45
36.0%
2023-12-13T04:17:26.042645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
18.9%
흥 37
 
6.8%
고 36
 
6.7%
도 32
 
5.9%
전 23
 
4.3%
군 23
 
4.3%
라 23
 
4.3%
남 23
 
4.3%
1 22
 
4.1%
읍 16
 
3.0%
Other values (56) 204
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
64.3%
Space Separator 102
 
18.9%
Decimal Number 74
 
13.7%
Other Punctuation 7
 
1.3%
Dash Punctuation 6
 
1.1%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 37
 
10.6%
고 36
 
10.3%
도 32
 
9.2%
전 23
 
6.6%
군 23
 
6.6%
라 23
 
6.6%
남 23
 
6.6%
읍 16
 
4.6%
로 14
 
4.0%
길 11
 
3.2%
Other values (41) 110
31.6%
Decimal Number
ValueCountFrequency (%)
1 22
29.7%
2 10
13.5%
3 9
12.2%
4 8
 
10.8%
6 5
 
6.8%
5 5
 
6.8%
9 4
 
5.4%
7 4
 
5.4%
8 4
 
5.4%
0 3
 
4.1%
Space Separator
ValueCountFrequency (%)
102
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
64.3%
Common 193
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 37
 
10.6%
고 36
 
10.3%
도 32
 
9.2%
전 23
 
6.6%
군 23
 
6.6%
라 23
 
6.6%
남 23
 
6.6%
읍 16
 
4.6%
로 14
 
4.0%
길 11
 
3.2%
Other values (41) 110
31.6%
Common
ValueCountFrequency (%)
102
52.8%
1 22
 
11.4%
2 10
 
5.2%
3 9
 
4.7%
4 8
 
4.1%
, 7
 
3.6%
- 6
 
3.1%
6 5
 
2.6%
5 5
 
2.6%
9 4
 
2.1%
Other values (5) 15
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
64.3%
ASCII 193
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
52.8%
1 22
 
11.4%
2 10
 
5.2%
3 9
 
4.7%
4 8
 
4.1%
, 7
 
3.6%
- 6
 
3.1%
6 5
 
2.6%
5 5
 
2.6%
9 4
 
2.1%
Other values (5) 15
 
7.8%
Hangul
ValueCountFrequency (%)
흥 37
 
10.6%
고 36
 
10.3%
도 32
 
9.2%
전 23
 
6.6%
군 23
 
6.6%
라 23
 
6.6%
남 23
 
6.6%
읍 16
 
4.6%
로 14
 
4.0%
길 11
 
3.2%
Other values (41) 110
31.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)47.8%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean59545.043
Minimum59511
Maximum59564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:26.176637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59511
5-th percentile59524.5
Q159540
median59543
Q359558.5
95-th percentile59563.6
Maximum59564
Range53
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation13.752614
Coefficient of variation (CV)0.00023096152
Kurtosis0.15325253
Mean59545.043
Median Absolute Deviation (MAD)14
Skewness-0.55285793
Sum1369536
Variance189.13439
MonotonicityNot monotonic
2023-12-13T04:17:26.305285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
59543 7
 
16.7%
59559 3
 
7.1%
59564 2
 
4.8%
59558 2
 
4.8%
59540 2
 
4.8%
59529 2
 
4.8%
59511 1
 
2.4%
59560 1
 
2.4%
59524 1
 
2.4%
59546 1
 
2.4%
(Missing) 19
45.2%
ValueCountFrequency (%)
59511 1
 
2.4%
59524 1
 
2.4%
59529 2
 
4.8%
59535 1
 
2.4%
59540 2
 
4.8%
59543 7
16.7%
59546 1
 
2.4%
59558 2
 
4.8%
59559 3
7.1%
59560 1
 
2.4%
ValueCountFrequency (%)
59564 2
 
4.8%
59560 1
 
2.4%
59559 3
7.1%
59558 2
 
4.8%
59546 1
 
2.4%
59543 7
16.7%
59540 2
 
4.8%
59535 1
 
2.4%
59529 2
 
4.8%
59524 1
 
2.4%

사업장명
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T04:17:26.540669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.6904762
Min length3

Characters and Unicode

Total characters281
Distinct characters102
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

Unique38 ?
Unique (%)90.5%

Sample

1st row뚜레쥬르 전남고흥점
2nd row샤인베이커리
3rd row이근수 제빵소
4th row파리바게뜨중앙점
5th row마트빵집
ValueCountFrequency (%)
베이커리 4
 
7.7%
샘마트베이커리 2
 
3.8%
고흥마트 2
 
3.8%
빵굽는고을 1
 
1.9%
야곱 1
 
1.9%
부민제과점 1
 
1.9%
조 1
 
1.9%
뚜레쥬르 1
 
1.9%
전남고흥점 1
 
1.9%
김영주제과점 1
 
1.9%
Other values (37) 37
71.2%
2023-12-13T04:17:26.950522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 15
 
5.3%
점 15
 
5.3%
과 14
 
5.0%
리 13
 
4.6%
마 12
 
4.3%
이 12
 
4.3%
빵 11
 
3.9%
10
 
3.6%
커 9
 
3.2%
베 9
 
3.2%
Other values (92) 161
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
93.2%
Space Separator 10
 
3.6%
Close Punctuation 3
 
1.1%
Open Punctuation 3
 
1.1%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 15
 
5.7%
점 15
 
5.7%
과 14
 
5.3%
리 13
 
5.0%
마 12
 
4.6%
이 12
 
4.6%
빵 11
 
4.2%
커 9
 
3.4%
베 9
 
3.4%
트 8
 
3.1%
Other values (86) 144
55.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
10
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 262
93.2%
Common 19
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 15
 
5.7%
점 15
 
5.7%
과 14
 
5.3%
리 13
 
5.0%
마 12
 
4.6%
이 12
 
4.6%
빵 11
 
4.2%
커 9
 
3.4%
베 9
 
3.4%
트 8
 
3.1%
Other values (86) 144
55.0%
Common
ValueCountFrequency (%)
10
52.6%
) 3
 
15.8%
( 3
 
15.8%
, 1
 
5.3%
3 1
 
5.3%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
93.2%
ASCII 19
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 15
 
5.7%
점 15
 
5.7%
과 14
 
5.3%
리 13
 
5.0%
마 12
 
4.6%
이 12
 
4.6%
빵 11
 
4.2%
커 9
 
3.4%
베 9
 
3.4%
트 8
 
3.1%
Other values (86) 144
55.0%
ASCII
ValueCountFrequency (%)
10
52.6%
) 3
 
15.8%
( 3
 
15.8%
, 1
 
5.3%
3 1
 
5.3%
2 1
 
5.3%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
제과점영업
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 42
100.0%

Length

2023-12-13T04:17:27.107404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:27.226290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 42
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)87.8%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean222305.83
Minimum211575.31
Maximum241772.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:27.364265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211575.31
5-th percentile212405.93
Q1212819.64
median225813.08
Q3226641.85
95-th percentile233132.8
Maximum241772.47
Range30197.163
Interquartile range (IQR)13822.206

Descriptive statistics

Standard deviation8204.9415
Coefficient of variation (CV)0.036908351
Kurtosis-1.0222758
Mean222305.83
Median Absolute Deviation (MAD)7209.259
Skewness0.048255915
Sum9114538.9
Variance67321064
MonotonicityNot monotonic
2023-12-13T04:17:27.534357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
212819.6402 3
 
7.1%
226446.8966 2
 
4.8%
226199.2163 2
 
4.8%
212808.507 2
 
4.8%
225710.9003 1
 
2.4%
226646.5744 1
 
2.4%
233047.9015 1
 
2.4%
226678.5002 1
 
2.4%
212420.0537 1
 
2.4%
225866.7222 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
211575.3067 1
 
2.4%
211626.9858 1
 
2.4%
212405.9259 1
 
2.4%
212415.3254 1
 
2.4%
212420.0537 1
 
2.4%
212457.8242 1
 
2.4%
212515.3479 1
 
2.4%
212604.6925 1
 
2.4%
212808.507 2
4.8%
212819.6402 3
7.1%
ValueCountFrequency (%)
241772.4694 1
2.4%
233283.413 1
2.4%
233132.7959 1
2.4%
233047.9015 1
2.4%
233022.3405 1
2.4%
231079.1355 1
2.4%
229299.4066 1
2.4%
229175.1337 1
2.4%
226678.5002 1
2.4%
226646.5744 1
2.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)87.8%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean119362.56
Minimum106998.99
Maximum131205.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:27.679218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106998.99
5-th percentile107515.24
Q1114314.98
median123002.33
Q3123317.98
95-th percentile131164.01
Maximum131205.13
Range24206.141
Interquartile range (IQR)9002.9956

Descriptive statistics

Standard deviation6505.6836
Coefficient of variation (CV)0.054503553
Kurtosis-0.63021271
Mean119362.56
Median Absolute Deviation (MAD)8058.2394
Skewness0.00038442131
Sum4893865
Variance42323920
MonotonicityNot monotonic
2023-12-13T04:17:27.828596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
114186.5019 3
 
7.1%
123174.9571 2
 
4.8%
123317.9795 2
 
4.8%
114314.9839 2
 
4.8%
123046.1992 1
 
2.4%
124226.4724 1
 
2.4%
131164.0142 1
 
2.4%
124257.3678 1
 
2.4%
114469.3697 1
 
2.4%
123304.4519 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
106998.9869 1
 
2.4%
107026.2517 1
 
2.4%
107515.241 1
 
2.4%
112335.1125 1
 
2.4%
112510.5522 1
 
2.4%
113786.069 1
 
2.4%
114186.5019 3
7.1%
114314.9839 2
4.8%
114457.6903 1
 
2.4%
114469.3697 1
 
2.4%
ValueCountFrequency (%)
131205.1275 1
2.4%
131204.4783 1
2.4%
131164.0142 1
2.4%
131060.5672 1
2.4%
124257.3678 1
2.4%
124226.4724 1
2.4%
123441.5001 1
2.4%
123410.6923 1
2.4%
123338.7706 1
2.4%
123317.9795 2
4.8%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
제과점영업
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 42
100.0%

Length

2023-12-13T04:17:27.957723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:28.055316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 42
100.0%

영업장주변구분명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
20 
기타
18 
주택가주변
4 

Length

Max length5
Median length4
Mean length3.2380952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row기타
3rd row주택가주변
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 20
47.6%
기타 18
42.9%
주택가주변 4
 
9.5%

Length

2023-12-13T04:17:28.171236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:28.326875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
47.6%
기타 18
42.9%
주택가주변 4
 
9.5%

급수시설구분명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
상수도전용
29 
<NA>
13 

Length

Max length5
Median length5
Mean length4.6904762
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 29
69.0%
<NA> 13
31.0%

Length

2023-12-13T04:17:28.454973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:17:28.570781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 29
69.0%
na 13
31.0%

시설총규모
Real number (ℝ)

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.849524
Minimum3.3
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T04:17:28.676595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile10
Q120.75
median36.55
Q353.3
95-th percentile100.346
Maximum144
Range140.7
Interquartile range (IQR)32.55

Descriptive statistics

Standard deviation29.344152
Coefficient of variation (CV)0.70118245
Kurtosis3.247235
Mean41.849524
Median Absolute Deviation (MAD)16.825
Skewness1.5385604
Sum1757.68
Variance861.07923
MonotonicityNot monotonic
2023-12-13T04:17:28.879752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
15.0 3
 
7.1%
33.0 2
 
4.8%
10.0 2
 
4.8%
36.0 2
 
4.8%
40.0 2
 
4.8%
3.3 2
 
4.8%
35.79 2
 
4.8%
24.3 1
 
2.4%
52.25 1
 
2.4%
45.46 1
 
2.4%
Other values (24) 24
57.1%
ValueCountFrequency (%)
3.3 2
4.8%
10.0 2
4.8%
13.0 1
 
2.4%
15.0 3
7.1%
16.5 1
 
2.4%
18.18 1
 
2.4%
20.0 1
 
2.4%
23.0 1
 
2.4%
23.76 1
 
2.4%
24.3 1
 
2.4%
ValueCountFrequency (%)
144.0 1
2.4%
119.22 1
2.4%
101.9 1
2.4%
70.82 1
2.4%
70.0 1
2.4%
68.0 1
2.4%
62.8 1
2.4%
62.7 1
2.4%
59.54 1
2.4%
58.0 1
2.4%

Sample

순번개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명업태구분명좌표정보(x)좌표정보(y)위생업태명영업장주변구분명급수시설구분명시설총규모
01제과점영업07_22_18_P48800004880000-121-2019-000012019-08-221영업/정상1영업<NA>119.22548802전라남도 고흥군 고흥읍 남계리 1038번지전라남도 고흥군 고흥읍 터미널길 3, 102,103호59543뚜레쥬르 전남고흥점제과점영업225710.9003123046.1992제과점영업<NA>상수도전용119.22
12제과점영업07_22_18_P48800004880000-121-2012-000012012-05-041영업/정상1영업<NA>36.0548905전라남도 고흥군 도양읍 봉암리 3190번지전라남도 고흥군 도양읍 우주항공로 2159559샤인베이커리제과점영업212819.6402114186.5019제과점영업기타상수도전용36.0
23제과점영업07_22_18_P48800004880000-121-2000-000062000-03-301영업/정상1영업<NA>62.7548804전라남도 고흥군 고흥읍 호형리 1225번지전라남도 고흥군 고흥읍 봉동주공길 4459543이근수 제빵소제과점영업226641.8463123002.3278제과점영업주택가주변상수도전용62.7
34제과점영업07_22_18_P48800004880000-121-2002-000102002-07-251영업/정상1영업<NA>101.9548802전라남도 고흥군 고흥읍 남계리 925-7번지전라남도 고흥군 고흥읍 봉황길 4259543파리바게뜨중앙점제과점영업225976.3363123303.116제과점영업기타상수도전용101.9
45제과점영업07_22_18_P48800004880000-121-2004-000062004-10-041영업/정상1영업<NA>23.0548931전라남도 고흥군 금산면 대흥리 458번지 (금산농협내)전라남도 고흥군 금산면 금산중촌길 7-259564마트빵집제과점영업211626.9858107026.2517제과점영업기타상수도전용23.0
56제과점영업07_22_18_P48800004880000-121-2004-000082004-12-151영업/정상1영업<NA>59.54548831전라남도 고흥군 과역면 과역리 163-3번지전라남도 고흥군 과역면 과역로 85459511르와르제과점영업233132.7959131205.1275제과점영업기타상수도전용59.54
67제과점영업07_22_18_P48800004880000-121-2005-000032005-05-131영업/정상1영업<NA>58.0548905전라남도 고흥군 도양읍 봉암리 2070-19번지전라남도 고흥군 도양읍 비봉로 129-159558케익타운제과점영업212457.8242114571.0391제과점영업<NA>상수도전용58.0
78제과점영업07_22_18_P48800004880000-121-2009-000012009-03-241영업/정상1영업<NA>15.0548802전라남도 고흥군 고흥읍 남계리 625-2번지전라남도 고흥군 고흥읍 시장천변길 29-1659543고흥마트 베이커리제과점영업226199.2163123317.9795제과점영업기타상수도전용15.0
89제과점영업07_22_18_P48800004880000-121-2010-000012010-01-251영업/정상1영업<NA>70.0548905전라남도 고흥군 도양읍 봉암리 3154번지전라남도 고흥군 도양읍 우주항공로 3359559파리바케트(도양점)제과점영업212808.507114314.9839제과점영업기타<NA>70.0
910제과점영업07_22_18_P48800004880000-121-2011-000012011-01-071영업/정상1영업<NA>45.0548805전라남도 고흥군 고흥읍 서문리 216-5번지 농협하나로마트 내전라남도 고흥군 고흥읍 여산당촌길 43 (농협하나로마트 내)59540매일빵굽는사람들제과점영업225473.0339123255.911제과점영업<NA>상수도전용45.0
순번개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명업태구분명좌표정보(x)좌표정보(y)위생업태명영업장주변구분명급수시설구분명시설총규모
3233제과점영업07_22_18_P48800004880000-121-1986-000071986-02-283폐업2폐업2006-09-2537.1548805전라남도 고흥군 고흥읍 서문리 213-11번지<NA><NA>영양당제과제과점영업225813.0815123410.6923제과점영업<NA><NA>37.1
3334제과점영업07_22_18_P48800004880000-121-1987-000011987-03-033폐업2폐업2008-12-2429.4548943전라남도 고흥군 봉래면 신금리 1022번지<NA><NA>문화제과제과점영업241772.4694107515.241제과점영업<NA>상수도전용29.4
3435제과점영업07_22_18_P48800004880000-121-1989-000021989-04-083폐업2폐업2010-11-1035.79548905전라남도 고흥군 도양읍 봉암리 3190번지<NA><NA>김영주 베이커리제과점영업212819.6402114186.5019제과점영업<NA><NA>35.79
3536제과점영업07_22_18_P48800004880000-121-1992-000011992-07-303폐업2폐업2009-03-2315.0548802전라남도 고흥군 고흥읍 남계리 625-2번지<NA><NA>고흥마트 베이커리제과점영업226199.2163123317.9795제과점영업<NA>상수도전용15.0
3637제과점영업07_22_18_P48800004880000-121-1995-000061995-11-253폐업2폐업2006-04-0749.0548907전라남도 고흥군 도양읍 봉암리 2695-38번지<NA><NA>코넬리아제과점영업212515.3479114624.1373제과점영업<NA>상수도전용49.0
3738제과점영업07_22_18_P48800004880000-121-1997-000011997-02-063폐업2폐업2010-12-1718.18548805전라남도 고흥군 고흥읍 서문리 218-11번지<NA><NA>맛나제과점제과점영업225696.7427123257.5906제과점영업<NA><NA>18.18
3839제과점영업07_22_18_P48800004880000-121-1997-000051997-04-223폐업2폐업2009-12-2936.0548905전라남도 고흥군 도양읍 봉암리 3154번지<NA><NA>빵굽는고을제과점영업212808.507114314.9839제과점영업<NA><NA>36.0
3940제과점영업07_22_18_P48800004880000-121-1999-000071999-05-123폐업2폐업2007-08-0615.0548831전라남도 고흥군 과역면 과역리 145-2번지<NA><NA>과역마트제과제과점영업233283.413131204.4783제과점영업주택가주변상수도전용15.0
4041제과점영업07_22_18_P48800004880000-121-1999-000201999-10-183폐업2폐업2006-04-0762.8548802전라남도 고흥군 고흥읍 남계리 628-11번지<NA><NA>부민제과점제과점영업226096.1705123338.7706제과점영업주택가주변상수도전용62.8
4142제과점영업07_22_18_P48800004880000-121-2000-000052000-03-143폐업2폐업2016-11-0940.0548802전라남도 고흥군 고흥읍 남계리 631-22번지전라남도 고흥군 고흥읍 고흥로 173759543케잌나라빵굽는마을제과점영업226004.753123291.6205제과점영업주택가주변상수도전용40.0