Overview

Dataset statistics

Number of variables28
Number of observations1729
Missing cells12584
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.3 KiB
Average record size in memory237.1 B

Variable types

Numeric6
Unsupported6
Text5
Categorical5
DateTime3
Boolean3

Dataset

Description식품인증업소 관리 일련번호,업소번호,업소 명,자치구 코드,자치구 명,업종 코드,업종 명,업태 코드,업태 명,업주 명,식품인증구분,식품인증 구분명,인증일자,사용여부,지도표시여부,식품인증업소 등급,지도 Y좌표,지도 X좌표,전화번호,도로명상세주소,도로명주소코드,도로명주소,허가번호,최초작성일자,최종수정일자,업소인증메뉴,교부번호,인증여부
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2741/S/1/datasetView.do

Alerts

지도표시여부 has constant value ""Constant
업종 코드 is highly imbalanced (61.9%)Imbalance
업종 명 is highly imbalanced (61.9%)Imbalance
사용여부 is highly imbalanced (99.3%)Imbalance
업소번호 has 1729 (100.0%) missing valuesMissing
업태 코드 has 150 (8.7%) missing valuesMissing
업주 명 has 1022 (59.1%) missing valuesMissing
식품인증업소 등급 has 1729 (100.0%) missing valuesMissing
도로명상세주소 has 1729 (100.0%) missing valuesMissing
도로명주소코드 has 1729 (100.0%) missing valuesMissing
허가번호 has 1729 (100.0%) missing valuesMissing
업소인증메뉴 has 1022 (59.1%) missing valuesMissing
교부번호 has 1729 (100.0%) missing valuesMissing
식품인증업소 관리 일련번호 has unique valuesUnique
업소번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
식품인증업소 등급 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명상세주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명주소코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허가번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:52:13.036964
Analysis finished2023-12-11 06:52:14.234709
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식품인증업소 관리 일련번호
Real number (ℝ)

UNIQUE 

Distinct1729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13703.512
Minimum12838
Maximum14569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:14.318110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12838
5-th percentile12924.4
Q113270
median13705
Q314137
95-th percentile14482.6
Maximum14569
Range1731
Interquartile range (IQR)867

Descriptive statistics

Standard deviation500.56351
Coefficient of variation (CV)0.036528117
Kurtosis-1.2031255
Mean13703.512
Median Absolute Deviation (MAD)434
Skewness-7.4606361 × 10-5
Sum23693373
Variance250563.83
MonotonicityNot monotonic
2023-12-11T15:52:14.509176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13862 1
 
0.1%
13444 1
 
0.1%
13383 1
 
0.1%
13389 1
 
0.1%
13381 1
 
0.1%
13424 1
 
0.1%
13410 1
 
0.1%
13421 1
 
0.1%
13437 1
 
0.1%
13438 1
 
0.1%
Other values (1719) 1719
99.4%
ValueCountFrequency (%)
12838 1
0.1%
12839 1
0.1%
12840 1
0.1%
12841 1
0.1%
12842 1
0.1%
12843 1
0.1%
12844 1
0.1%
12845 1
0.1%
12846 1
0.1%
12847 1
0.1%
ValueCountFrequency (%)
14569 1
0.1%
14568 1
0.1%
14567 1
0.1%
14566 1
0.1%
14565 1
0.1%
14564 1
0.1%
14563 1
0.1%
14562 1
0.1%
14561 1
0.1%
14560 1
0.1%

업소번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

업소 명
Text

Distinct1697
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-11T15:52:14.878127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length8.0271833
Min length2

Characters and Unicode

Total characters13879
Distinct characters623
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1673 ?
Unique (%)96.8%

Sample

1st row다래목해물손칼국수전문점
2nd row퀴즈노스 (목동오목교)
3rd row샐러디 (목동41타워점)
4th row샐러디 (양천구청점)
5th row본 죽&비빔밥 송정역점
ValueCountFrequency (%)
본죽 193
 
6.6%
본 137
 
4.7%
죽&비빔밥 137
 
4.7%
샐러디 109
 
3.7%
본도시락 80
 
2.8%
한살림 58
 
2.0%
퀴즈노스 28
 
1.0%
자연드림 24
 
0.8%
죠샌드위치 23
 
0.8%
행복중심생협 16
 
0.6%
Other values (1756) 2102
72.3%
2023-12-11T15:52:15.416385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1180
 
8.5%
점 676
 
4.9%
본 432
 
3.1%
죽 331
 
2.4%
) 321
 
2.3%
( 321
 
2.3%
대 198
 
1.4%
역 192
 
1.4%
비 192
 
1.4%
밥 184
 
1.3%
Other values (613) 9852
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11698
84.3%
Space Separator 1180
 
8.5%
Close Punctuation 324
 
2.3%
Open Punctuation 324
 
2.3%
Other Punctuation 153
 
1.1%
Uppercase Letter 93
 
0.7%
Decimal Number 74
 
0.5%
Lowercase Letter 31
 
0.2%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 676
 
5.8%
본 432
 
3.7%
죽 331
 
2.8%
대 198
 
1.7%
역 192
 
1.6%
비 192
 
1.6%
밥 184
 
1.6%
도 161
 
1.4%
장 154
 
1.3%
러 142
 
1.2%
Other values (558) 9036
77.2%
Uppercase Letter
ValueCountFrequency (%)
C 14
15.1%
T 9
 
9.7%
M 9
 
9.7%
F 6
 
6.5%
S 6
 
6.5%
L 6
 
6.5%
D 5
 
5.4%
A 4
 
4.3%
G 4
 
4.3%
E 4
 
4.3%
Other values (12) 26
28.0%
Lowercase Letter
ValueCountFrequency (%)
o 7
22.6%
e 5
16.1%
r 4
12.9%
t 3
9.7%
d 2
 
6.5%
a 2
 
6.5%
s 2
 
6.5%
k 1
 
3.2%
y 1
 
3.2%
h 1
 
3.2%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
2 18
24.3%
3 15
20.3%
1 9
12.2%
6 8
10.8%
4 7
 
9.5%
5 5
 
6.8%
8 4
 
5.4%
9 4
 
5.4%
0 2
 
2.7%
7 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 143
93.5%
, 5
 
3.3%
. 4
 
2.6%
@ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 321
99.1%
] 3
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 321
99.1%
[ 3
 
0.9%
Space Separator
ValueCountFrequency (%)
1180
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11700
84.3%
Common 2055
 
14.8%
Latin 124
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 676
 
5.8%
본 432
 
3.7%
죽 331
 
2.8%
대 198
 
1.7%
역 192
 
1.6%
비 192
 
1.6%
밥 184
 
1.6%
도 161
 
1.4%
장 154
 
1.3%
러 142
 
1.2%
Other values (559) 9038
77.2%
Latin
ValueCountFrequency (%)
C 14
 
11.3%
T 9
 
7.3%
M 9
 
7.3%
o 7
 
5.6%
F 6
 
4.8%
S 6
 
4.8%
L 6
 
4.8%
e 5
 
4.0%
D 5
 
4.0%
A 4
 
3.2%
Other values (25) 53
42.7%
Common
ValueCountFrequency (%)
1180
57.4%
) 321
 
15.6%
( 321
 
15.6%
& 143
 
7.0%
2 18
 
0.9%
3 15
 
0.7%
1 9
 
0.4%
6 8
 
0.4%
4 7
 
0.3%
, 5
 
0.2%
Other values (9) 28
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11698
84.3%
ASCII 2179
 
15.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1180
54.2%
) 321
 
14.7%
( 321
 
14.7%
& 143
 
6.6%
2 18
 
0.8%
3 15
 
0.7%
C 14
 
0.6%
T 9
 
0.4%
1 9
 
0.4%
M 9
 
0.4%
Other values (44) 140
 
6.4%
Hangul
ValueCountFrequency (%)
점 676
 
5.8%
본 432
 
3.7%
죽 331
 
2.8%
대 198
 
1.7%
역 192
 
1.6%
비 192
 
1.6%
밥 184
 
1.6%
도 161
 
1.4%
장 154
 
1.3%
러 142
 
1.2%
Other values (558) 9036
77.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

자치구 코드
Real number (ℝ)

Distinct25
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3125066.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:15.593770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13060000
median3130000
Q33190000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation72207.333
Coefficient of variation (CV)0.023105855
Kurtosis-1.1699648
Mean3125066.5
Median Absolute Deviation (MAD)60000
Skewness-0.18635181
Sum5.40324 × 109
Variance5.2138989 × 109
MonotonicityNot monotonic
2023-12-11T15:52:15.754224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3180000 142
 
8.2%
3210000 131
 
7.6%
3120000 127
 
7.3%
3010000 105
 
6.1%
3220000 102
 
5.9%
3110000 87
 
5.0%
3150000 83
 
4.8%
3050000 82
 
4.7%
3000000 81
 
4.7%
3190000 75
 
4.3%
Other values (15) 714
41.3%
ValueCountFrequency (%)
3000000 81
4.7%
3010000 105
6.1%
3020000 44
2.5%
3030000 34
 
2.0%
3040000 29
 
1.7%
3050000 82
4.7%
3060000 75
4.3%
3070000 34
 
2.0%
3080000 62
3.6%
3090000 58
3.4%
ValueCountFrequency (%)
3240000 32
 
1.9%
3230000 68
3.9%
3220000 102
5.9%
3210000 131
7.6%
3200000 54
 
3.1%
3190000 75
4.3%
3180000 142
8.2%
3170000 17
 
1.0%
3160000 27
 
1.6%
3150000 83
4.8%

자치구 명
Categorical

Distinct25
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
영등포구
142 
서초구
131 
서대문구
127 
중구
 
105
강남구
 
102
Other values (20)
1122 

Length

Max length4
Median length3
Mean length3.1422788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강서구
2nd row양천구
3rd row양천구
4th row양천구
5th row강서구

Common Values

ValueCountFrequency (%)
영등포구 142
 
8.2%
서초구 131
 
7.6%
서대문구 127
 
7.3%
중구 105
 
6.1%
강남구 102
 
5.9%
은평구 87
 
5.0%
강서구 83
 
4.8%
동대문구 82
 
4.7%
종로구 81
 
4.7%
동작구 75
 
4.3%
Other values (15) 714
41.3%

Length

2023-12-11T15:52:15.915882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영등포구 142
 
8.2%
서초구 131
 
7.6%
서대문구 127
 
7.3%
중구 105
 
6.1%
강남구 102
 
5.9%
은평구 87
 
5.0%
강서구 83
 
4.8%
동대문구 82
 
4.7%
종로구 81
 
4.7%
동작구 75
 
4.3%
Other values (15) 714
41.3%

업종 코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
101
1477 
<NA>
150 
104
 
95
121
 
7

Length

Max length4
Median length3
Mean length3.0867553
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row104
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 1477
85.4%
<NA> 150
 
8.7%
104 95
 
5.5%
121 7
 
0.4%

Length

2023-12-11T15:52:16.087321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:52:16.236963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 1477
85.4%
na 150
 
8.7%
104 95
 
5.5%
121 7
 
0.4%

업종 명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
일반음식점
1477 
<NA>
150 
휴게음식점
 
95
제과점영업
 
7

Length

Max length5
Median length5
Mean length4.9132447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 1477
85.4%
<NA> 150
 
8.7%
휴게음식점 95
 
5.5%
제과점영업 7
 
0.4%

Length

2023-12-11T15:52:16.393954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:52:16.533728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1477
85.4%
na 150
 
8.7%
휴게음식점 95
 
5.5%
제과점영업 7
 
0.4%

업태 코드
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)1.3%
Missing150
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean10133.408
Minimum10101
Maximum12103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:16.674738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10101
5-th percentile10101
Q110101
median10101
Q310119
95-th percentile10414
Maximum12103
Range2002
Interquartile range (IQR)18

Descriptive statistics

Standard deviation150.79091
Coefficient of variation (CV)0.014880571
Kurtosis127.1528
Mean10133.408
Median Absolute Deviation (MAD)0
Skewness10.271712
Sum16000652
Variance22737.898
MonotonicityNot monotonic
2023-12-11T15:52:16.828954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
10101 1053
60.9%
10121 203
 
11.7%
10414 69
 
4.0%
10119 68
 
3.9%
10122 44
 
2.5%
10102 30
 
1.7%
10117 21
 
1.2%
10104 14
 
0.8%
10105 14
 
0.8%
10418 13
 
0.8%
Other values (11) 50
 
2.9%
(Missing) 150
 
8.7%
ValueCountFrequency (%)
10101 1053
60.9%
10102 30
 
1.7%
10104 14
 
0.8%
10105 14
 
0.8%
10114 7
 
0.4%
10115 1
 
0.1%
10117 21
 
1.2%
10119 68
 
3.9%
10121 203
 
11.7%
10122 44
 
2.5%
ValueCountFrequency (%)
12103 2
 
0.1%
12102 5
 
0.3%
10418 13
 
0.8%
10417 2
 
0.1%
10416 3
 
0.2%
10415 8
 
0.5%
10414 69
4.0%
10199 1
 
0.1%
10125 9
 
0.5%
10124 2
 
0.1%

업태 명
Categorical

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
한식
1053 
양식
272 
<NA>
150 
탕류
 
68
인도/중동
 
44
Other values (11)
142 

Length

Max length9
Median length2
Mean length2.3053788
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row한식
2nd row양식
3rd row양식
4th row양식
5th row한식

Common Values

ValueCountFrequency (%)
한식 1053
60.9%
양식 272
 
15.7%
<NA> 150
 
8.7%
탕류 68
 
3.9%
인도/중동 44
 
2.5%
중국식 30
 
1.7%
까페 21
 
1.2%
카페 18
 
1.0%
분식 16
 
0.9%
베이커리 15
 
0.9%
Other values (6) 42
 
2.4%

Length

2023-12-11T15:52:17.063446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1053
60.9%
양식 272
 
15.7%
na 150
 
8.7%
탕류 68
 
3.9%
인도/중동 44
 
2.5%
중국식 30
 
1.7%
까페 21
 
1.2%
카페 18
 
1.0%
분식 16
 
0.9%
베이커리 15
 
0.9%
Other values (6) 42
 
2.4%

업주 명
Text

MISSING 

Distinct678
Distinct (%)95.9%
Missing1022
Missing (%)59.1%
Memory size13.6 KiB
2023-12-11T15:52:17.437322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.3352192
Min length2

Characters and Unicode

Total characters2358
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique660 ?
Unique (%)93.4%

Sample

1st row조해일
2nd row정호영
3rd row정형태
4th row조평수
5th row조주현
ValueCountFrequency (%)
1명 12
 
1.6%
대표자 10
 
1.3%
외 7
 
0.9%
주식회사 5
 
0.7%
외1명 4
 
0.5%
이종은 3
 
0.4%
이기정 3
 
0.4%
외1 3
 
0.4%
김영미 3
 
0.4%
박정옥 2
 
0.3%
Other values (690) 709
93.2%
2023-12-11T15:52:18.112503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 124
 
5.3%
이 122
 
5.2%
정 82
 
3.5%
영 69
 
2.9%
박 64
 
2.7%
55
 
2.3%
순 50
 
2.1%
희 44
 
1.9%
미 41
 
1.7%
성 39
 
1.7%
Other values (228) 1668
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2231
94.6%
Space Separator 55
 
2.3%
Uppercase Letter 33
 
1.4%
Decimal Number 25
 
1.1%
Other Punctuation 5
 
0.2%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 124
 
5.6%
이 122
 
5.5%
정 82
 
3.7%
영 69
 
3.1%
박 64
 
2.9%
순 50
 
2.2%
희 44
 
2.0%
미 41
 
1.8%
성 39
 
1.7%
자 37
 
1.7%
Other values (203) 1559
69.9%
Uppercase Letter
ValueCountFrequency (%)
I 5
15.2%
A 4
12.1%
U 3
9.1%
N 3
9.1%
J 3
9.1%
G 2
 
6.1%
R 2
 
6.1%
H 2
 
6.1%
S 2
 
6.1%
X 1
 
3.0%
Other values (6) 6
18.2%
Decimal Number
ValueCountFrequency (%)
1 22
88.0%
2 2
 
8.0%
0 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2232
94.7%
Common 93
 
3.9%
Latin 33
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 124
 
5.6%
이 122
 
5.5%
정 82
 
3.7%
영 69
 
3.1%
박 64
 
2.9%
순 50
 
2.2%
희 44
 
2.0%
미 41
 
1.8%
성 39
 
1.7%
자 37
 
1.7%
Other values (204) 1560
69.9%
Latin
ValueCountFrequency (%)
I 5
15.2%
A 4
12.1%
U 3
9.1%
N 3
9.1%
J 3
9.1%
G 2
 
6.1%
R 2
 
6.1%
H 2
 
6.1%
S 2
 
6.1%
X 1
 
3.0%
Other values (6) 6
18.2%
Common
ValueCountFrequency (%)
55
59.1%
1 22
 
23.7%
) 4
 
4.3%
( 4
 
4.3%
, 4
 
4.3%
2 2
 
2.2%
/ 1
 
1.1%
0 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2231
94.6%
ASCII 126
 
5.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 124
 
5.6%
이 122
 
5.5%
정 82
 
3.7%
영 69
 
3.1%
박 64
 
2.9%
순 50
 
2.2%
희 44
 
2.0%
미 41
 
1.8%
성 39
 
1.7%
자 37
 
1.7%
Other values (203) 1559
69.9%
ASCII
ValueCountFrequency (%)
55
43.7%
1 22
 
17.5%
I 5
 
4.0%
) 4
 
3.2%
( 4
 
3.2%
A 4
 
3.2%
, 4
 
3.2%
U 3
 
2.4%
N 3
 
2.4%
J 3
 
2.4%
Other values (14) 19
 
15.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

식품인증구분
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.960671
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:18.244435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median15
Q318
95-th percentile18
Maximum18
Range14
Interquartile range (IQR)14

Descriptive statistics

Standard deviation6.6851015
Coefficient of variation (CV)0.55892362
Kurtosis-1.8484917
Mean11.960671
Median Absolute Deviation (MAD)3
Skewness-0.32114893
Sum20680
Variance44.690582
MonotonicityNot monotonic
2023-12-11T15:52:18.363525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
18 838
48.5%
4 707
40.9%
15 124
 
7.2%
14 34
 
2.0%
17 16
 
0.9%
16 10
 
0.6%
ValueCountFrequency (%)
4 707
40.9%
14 34
 
2.0%
15 124
 
7.2%
16 10
 
0.6%
17 16
 
0.9%
18 838
48.5%
ValueCountFrequency (%)
18 838
48.5%
17 16
 
0.9%
16 10
 
0.6%
15 124
 
7.2%
14 34
 
2.0%
4 707
40.9%

식품인증 구분명
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
채식가능음식점
838 
저염실천음식점
707 
친환경유기농식품판매점
124 
채식음식점
 
34
식생활체험공간
 
16

Length

Max length11
Median length7
Mean length7.2301909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
채식가능음식점 838
48.5%
저염실천음식점 707
40.9%
친환경유기농식품판매점 124
 
7.2%
채식음식점 34
 
2.0%
식생활체험공간 16
 
0.9%
농부시장 10
 
0.6%

Length

2023-12-11T15:52:18.517143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:52:18.680307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
채식가능음식점 838
48.5%
저염실천음식점 707
40.9%
친환경유기농식품판매점 124
 
7.2%
채식음식점 34
 
2.0%
식생활체험공간 16
 
0.9%
농부시장 10
 
0.6%

인증일자
Date

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2020-12-31 00:00:00
Maximum2022-09-01 00:00:00
2023-12-11T15:52:18.817514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:52:18.977955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
True
1728 
False
 
1
ValueCountFrequency (%)
True 1728
99.9%
False 1
 
0.1%
2023-12-11T15:52:19.100610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지도표시여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
True
1729 
ValueCountFrequency (%)
True 1729
100.0%
2023-12-11T15:52:19.507897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

식품인증업소 등급
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

지도 Y좌표
Real number (ℝ)

Distinct1616
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.553232
Minimum37.445683
Maximum37.688057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:19.663492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.445683
5-th percentile37.480377
Q137.513006
median37.555715
Q337.582092
95-th percentile37.647282
Maximum37.688057
Range0.2423733
Interquartile range (IQR)0.0690859

Descriptive statistics

Standard deviation0.049832218
Coefficient of variation (CV)0.0013269755
Kurtosis-0.45975292
Mean37.553232
Median Absolute Deviation (MAD)0.0362394
Skewness0.3464913
Sum64929.538
Variance0.00248325
MonotonicityNot monotonic
2023-12-11T15:52:19.862262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5664106 22
 
1.3%
37.5172425 5
 
0.3%
37.5158679 4
 
0.2%
37.4913649 4
 
0.2%
37.5214745 4
 
0.2%
37.5129211 4
 
0.2%
37.506962 4
 
0.2%
37.6163564 3
 
0.2%
37.5176486 3
 
0.2%
37.512085 3
 
0.2%
Other values (1606) 1673
96.8%
ValueCountFrequency (%)
37.4456834 1
0.1%
37.4469414 1
0.1%
37.4498687 1
0.1%
37.4499125 1
0.1%
37.4534599 1
0.1%
37.4546932 1
0.1%
37.4561131 1
0.1%
37.4596605 1
0.1%
37.4599588 1
0.1%
37.461145 2
0.1%
ValueCountFrequency (%)
37.6880567 1
0.1%
37.6879033 1
0.1%
37.6878256 1
0.1%
37.6864638 1
0.1%
37.6859635 1
0.1%
37.6845297 1
0.1%
37.6843537 1
0.1%
37.6837924 1
0.1%
37.6837429 1
0.1%
37.6836163 1
0.1%

지도 X좌표
Real number (ℝ)

Distinct1618
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98262
Minimum126.80213
Maximum127.17535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-11T15:52:20.054529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80213
5-th percentile126.85306
Q1126.92427
median126.98283
Q3127.04123
95-th percentile127.10306
Maximum127.17535
Range0.3732212
Interquartile range (IQR)0.1169624

Descriptive statistics

Standard deviation0.076547864
Coefficient of variation (CV)0.00060282161
Kurtosis-0.65493428
Mean126.98262
Median Absolute Deviation (MAD)0.0584802
Skewness-0.036377682
Sum219552.94
Variance0.0058595755
MonotonicityNot monotonic
2023-12-11T15:52:20.230555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9778779 22
 
1.3%
126.9037198 5
 
0.3%
126.9249709 4
 
0.2%
126.9233445 4
 
0.2%
126.9605696 4
 
0.2%
127.1027399 4
 
0.2%
126.9080384 4
 
0.2%
127.0926972 3
 
0.2%
126.9782692 3
 
0.2%
126.8960443 3
 
0.2%
Other values (1608) 1673
96.8%
ValueCountFrequency (%)
126.8021288 1
0.1%
126.8032268 2
0.1%
126.8069157 1
0.1%
126.807443 1
0.1%
126.8091244 1
0.1%
126.8107552 1
0.1%
126.8109536 1
0.1%
126.8109683 1
0.1%
126.8111379 1
0.1%
126.8113975 1
0.1%
ValueCountFrequency (%)
127.17535 1
0.1%
127.1735094 1
0.1%
127.1728829 1
0.1%
127.1685593 1
0.1%
127.157625340296 1
0.1%
127.1555708 1
0.1%
127.1554327 1
0.1%
127.155222 1
0.1%
127.1546294 1
0.1%
127.1531934 1
0.1%

전화번호
Text

Distinct1692
Distinct (%)98.8%
Missing16
Missing (%)0.9%
Memory size13.6 KiB
2023-12-11T15:52:20.526138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.394629
Min length9

Characters and Unicode

Total characters19519
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

Unique1674 ?
Unique (%)97.7%

Sample

1st row02-2661-7845
2nd row02-2644-2643
3rd row0226481112
4th row0226522555
5th row02-2666-6288
ValueCountFrequency (%)
02-2133-4466 3
 
0.2%
02-356-5533 3
 
0.2%
023836641 3
 
0.2%
02-955-1297 2
 
0.1%
02-385-0045 2
 
0.1%
02-812-8122 2
 
0.1%
02-771-1808 2
 
0.1%
02-3481-3399 2
 
0.1%
02-3783-0610 2
 
0.1%
02-2661-7845 2
 
0.1%
Other values (1682) 1690
98.7%
2023-12-11T15:52:21.022651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3404
17.4%
- 3210
16.4%
0 2969
15.2%
3 1519
7.8%
8 1461
7.5%
6 1338
 
6.9%
5 1273
 
6.5%
7 1220
 
6.3%
9 1120
 
5.7%
4 1091
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16309
83.6%
Dash Punctuation 3210
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3404
20.9%
0 2969
18.2%
3 1519
9.3%
8 1461
9.0%
6 1338
 
8.2%
5 1273
 
7.8%
7 1220
 
7.5%
9 1120
 
6.9%
4 1091
 
6.7%
1 914
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 3210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3404
17.4%
- 3210
16.4%
0 2969
15.2%
3 1519
7.8%
8 1461
7.5%
6 1338
 
6.9%
5 1273
 
6.5%
7 1220
 
6.3%
9 1120
 
5.7%
4 1091
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3404
17.4%
- 3210
16.4%
0 2969
15.2%
3 1519
7.8%
8 1461
7.5%
6 1338
 
6.9%
5 1273
 
6.5%
7 1220
 
6.3%
9 1120
 
5.7%
4 1091
 
5.6%

도로명상세주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

도로명주소코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

도로명주소
Text

Distinct1719
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-11T15:52:21.442911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length49
Mean length27.434355
Min length14

Characters and Unicode

Total characters47434
Distinct characters504
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1710 ?
Unique (%)98.9%

Sample

1st row서울특별시 강서구 강서로47가길 27
2nd row서울특별시 양천구 오목로 300 205동 1층 123호
3rd row서울특별시 양천구 목동동로 293, 1층 1-29호(목동, 현대41타워)
4th row서울특별시 양천구 목동서로 349, 1층 127호(신정동, 센트럴프라자)
5th row서울특별시 강서구 공항대로 36 (공항동) 101호
ValueCountFrequency (%)
서울특별시 1691
 
18.3%
1층 361
 
3.9%
영등포구 142
 
1.5%
서초구 132
 
1.4%
서대문구 125
 
1.4%
강남구 101
 
1.1%
은평구 88
 
1.0%
강서구 84
 
0.9%
동대문구 82
 
0.9%
종로구 80
 
0.9%
Other values (2849) 6371
68.8%
2023-12-11T15:52:21.965872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7942
 
16.7%
1 2462
 
5.2%
서 2215
 
4.7%
로 1802
 
3.8%
시 1789
 
3.8%
울 1747
 
3.7%
별 1742
 
3.7%
특 1741
 
3.7%
구 1692
 
3.6%
동 1329
 
2.8%
Other values (494) 22973
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28206
59.5%
Decimal Number 8527
 
18.0%
Space Separator 7942
 
16.7%
Close Punctuation 875
 
1.8%
Open Punctuation 875
 
1.8%
Other Punctuation 576
 
1.2%
Dash Punctuation 257
 
0.5%
Uppercase Letter 142
 
0.3%
Lowercase Letter 20
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2215
 
7.9%
로 1802
 
6.4%
시 1789
 
6.3%
울 1747
 
6.2%
별 1742
 
6.2%
특 1741
 
6.2%
구 1692
 
6.0%
동 1329
 
4.7%
길 760
 
2.7%
층 669
 
2.4%
Other values (438) 12720
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 46
32.4%
A 13
 
9.2%
C 12
 
8.5%
M 9
 
6.3%
S 8
 
5.6%
I 7
 
4.9%
D 6
 
4.2%
P 5
 
3.5%
K 5
 
3.5%
G 4
 
2.8%
Other values (14) 27
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
25.0%
t 3
15.0%
n 2
 
10.0%
k 2
 
10.0%
r 2
 
10.0%
c 1
 
5.0%
l 1
 
5.0%
m 1
 
5.0%
a 1
 
5.0%
i 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 2462
28.9%
0 1174
13.8%
2 1071
12.6%
3 847
 
9.9%
4 615
 
7.2%
5 615
 
7.2%
6 511
 
6.0%
7 434
 
5.1%
8 421
 
4.9%
9 377
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 560
97.2%
？ 8
 
1.4%
. 4
 
0.7%
? 2
 
0.3%
/ 1
 
0.2%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 875
100.0%
Open Punctuation
ValueCountFrequency (%)
( 875
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28206
59.5%
Common 19066
40.2%
Latin 162
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2215
 
7.9%
로 1802
 
6.4%
시 1789
 
6.3%
울 1747
 
6.2%
별 1742
 
6.2%
특 1741
 
6.2%
구 1692
 
6.0%
동 1329
 
4.7%
길 760
 
2.7%
층 669
 
2.4%
Other values (438) 12720
45.1%
Latin
ValueCountFrequency (%)
B 46
28.4%
A 13
 
8.0%
C 12
 
7.4%
M 9
 
5.6%
S 8
 
4.9%
I 7
 
4.3%
D 6
 
3.7%
e 5
 
3.1%
P 5
 
3.1%
K 5
 
3.1%
Other values (25) 46
28.4%
Common
ValueCountFrequency (%)
7942
41.7%
1 2462
 
12.9%
0 1174
 
6.2%
2 1071
 
5.6%
) 875
 
4.6%
( 875
 
4.6%
3 847
 
4.4%
4 615
 
3.2%
5 615
 
3.2%
, 560
 
2.9%
Other values (11) 2030
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28206
59.5%
ASCII 19220
40.5%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7942
41.3%
1 2462
 
12.8%
0 1174
 
6.1%
2 1071
 
5.6%
) 875
 
4.6%
( 875
 
4.6%
3 847
 
4.4%
4 615
 
3.2%
5 615
 
3.2%
, 560
 
2.9%
Other values (45) 2184
 
11.4%
Hangul
ValueCountFrequency (%)
서 2215
 
7.9%
로 1802
 
6.4%
시 1789
 
6.3%
울 1747
 
6.2%
별 1742
 
6.2%
특 1741
 
6.2%
구 1692
 
6.0%
동 1329
 
4.7%
길 760
 
2.7%
층 669
 
2.4%
Other values (438) 12720
45.1%
None
ValueCountFrequency (%)
？ 8
100.0%

허가번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

최초작성일자
Date

Distinct28
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2021-12-23 13:40:18
Maximum2022-09-01 00:00:00
2023-12-11T15:52:22.086293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:52:22.190532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

최종수정일자
Date

Distinct28
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2021-12-23 13:40:18
Maximum2022-09-01 00:00:00
2023-12-11T15:52:22.293568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:52:22.389922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업소인증메뉴
Text

MISSING 

Distinct228
Distinct (%)32.2%
Missing1022
Missing (%)59.1%
Memory size13.6 KiB
2023-12-11T15:52:22.612914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.0975955
Min length2

Characters and Unicode

Total characters2897
Distinct characters182
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)19.5%

Sample

1st row매운탕
2nd row매운탕
3rd row추어탕
4th row순대국
5th row시원한콩나물국
ValueCountFrequency (%)
갈비탕 51
 
7.2%
순대국 50
 
7.0%
된장찌개 43
 
6.0%
추어탕 33
 
4.6%
삼계탕 23
 
3.2%
칼국수 17
 
2.4%
설렁탕 15
 
2.1%
짬뽕 15
 
2.1%
콩나물국 14
 
2.0%
미소된장국 12
 
1.7%
Other values (217) 439
61.7%
2023-12-11T15:52:22.942935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 265
 
9.1%
국 244
 
8.4%
장 143
 
4.9%
개 119
 
4.1%
찌 112
 
3.9%
된 107
 
3.7%
비 71
 
2.5%
갈 69
 
2.4%
순 66
 
2.3%
대 62
 
2.1%
Other values (172) 1639
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2852
98.4%
Space Separator 16
 
0.6%
Close Punctuation 11
 
0.4%
Open Punctuation 11
 
0.4%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 265
 
9.3%
국 244
 
8.6%
장 143
 
5.0%
개 119
 
4.2%
찌 112
 
3.9%
된 107
 
3.8%
비 71
 
2.5%
갈 69
 
2.4%
순 66
 
2.3%
대 62
 
2.2%
Other values (167) 1594
55.9%
Other Punctuation
ValueCountFrequency (%)
/ 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2852
98.4%
Common 45
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 265
 
9.3%
국 244
 
8.6%
장 143
 
5.0%
개 119
 
4.2%
찌 112
 
3.9%
된 107
 
3.8%
비 71
 
2.5%
갈 69
 
2.4%
순 66
 
2.3%
대 62
 
2.2%
Other values (167) 1594
55.9%
Common
ValueCountFrequency (%)
16
35.6%
) 11
24.4%
( 11
24.4%
/ 5
 
11.1%
, 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2852
98.4%
ASCII 45
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 265
 
9.3%
국 244
 
8.6%
장 143
 
5.0%
개 119
 
4.2%
찌 112
 
3.9%
된 107
 
3.8%
비 71
 
2.5%
갈 69
 
2.4%
순 66
 
2.3%
대 62
 
2.2%
Other values (167) 1594
55.9%
ASCII
ValueCountFrequency (%)
16
35.6%
) 11
24.4%
( 11
24.4%
/ 5
 
11.1%
, 2
 
4.4%

교부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1729
Missing (%)100.0%
Memory size15.3 KiB

인증여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
False
1022 
True
707 
ValueCountFrequency (%)
False 1022
59.1%
True 707
40.9%
2023-12-11T15:52:23.038324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

식품인증업소 관리 일련번호업소번호업소 명자치구 코드자치구 명업종 코드업종 명업태 코드업태 명업주 명식품인증구분식품인증 구분명인증일자사용여부지도표시여부식품인증업소 등급지도 Y좌표지도 X좌표전화번호도로명상세주소도로명주소코드도로명주소허가번호최초작성일자최종수정일자업소인증메뉴교부번호인증여부
013862<NA>다래목해물손칼국수전문점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.551435126.83573502-2661-7845<NA><NA>서울특별시 강서구 강서로47가길 27<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
114347<NA>퀴즈노스 (목동오목교)3140000양천구104휴게음식점10414양식<NA>18채식가능음식점2022-09-01YY<NA>37.524836126.87004302-2644-2643<NA><NA>서울특별시 양천구 오목로 300 205동 1층 123호<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
214351<NA>샐러디 (목동41타워점)3140000양천구101일반음식점10121양식<NA>18채식가능음식점2022-09-01YY<NA>37.528189126.8757850226481112<NA><NA>서울특별시 양천구 목동동로 293, 1층 1-29호(목동, 현대41타워)<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
314352<NA>샐러디 (양천구청점)3140000양천구101일반음식점10121양식<NA>18채식가능음식점2022-09-01YY<NA>37.517411126.8652570226522555<NA><NA>서울특별시 양천구 목동서로 349, 1층 127호(신정동, 센트럴프라자)<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
413866<NA>본 죽&비빔밥 송정역점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.56102126.81113802-2666-6288<NA><NA>서울특별시 강서구 공항대로 36 (공항동) 101호<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
513867<NA>본죽 강서구청점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.555689126.84875202-2602-8338<NA><NA>서울특별시 강서구 공항대로 382 우장산롯데캐슬아파트 상가 111-1<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
613869<NA>본죽 등촌3동점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.559726126.84599602-3663-3670<NA><NA>서울특별시 강서구 공항대로41길 44 (등촌동) 아카데미프라자103호<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
713870<NA>본 죽&비빔밥 등촌공항대로점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.551617126.8656102-2659-5049<NA><NA>서울특별시 강서구 공항대로61길 14 (염창동) 1층<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
813871<NA>본죽 방화역점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.578143126.813302-2665-0288<NA><NA>서울특별시 강서구 금낭화로 146 (방화동) 오피앙상가105<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
913860<NA>본 죽&비빔밥 까치산역점3150000강서구101일반음식점10101한식<NA>18채식가능음식점2022-09-01YY<NA>37.531678126.8470402-2696-2833<NA><NA>서울특별시 강서구 강서로 42 (화곡동) 1층<NA>2022-09-01 00:00:00.02022-09-01 00:00:00.0<NA><NA>N
식품인증업소 관리 일련번호업소번호업소 명자치구 코드자치구 명업종 코드업종 명업태 코드업태 명업주 명식품인증구분식품인증 구분명인증일자사용여부지도표시여부식품인증업소 등급지도 Y좌표지도 X좌표전화번호도로명상세주소도로명주소코드도로명주소허가번호최초작성일자최종수정일자업소인증메뉴교부번호인증여부
171912859<NA>은평두레생협 홍은점3120000서대문구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.597878126.94549102-357-6233<NA><NA>서울특별시 서대문구 홍은중앙로3길 9 북한산두산위브상가 1층<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172012888<NA>한살림 상계매장3100000노원구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.661211127.06056402-951-5353<NA><NA>서울특별시 노원구 노원로 526 평화빌딩 1층<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172112914<NA>한살림 중계매장3100000노원구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.657454127.07432502-932-4633<NA><NA>서울특별시 노원구 한글비석로15길 15 1층<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172212917<NA>한살림 하계매장3100000노원구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.638934127.06476502-971-5200<NA><NA>서울특별시 노원구 섬밭로 258 건영옴니백화점 지하 1층<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172312882<NA>한살림 반포매장3210000서초구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.507452127.00805602-592-6100<NA><NA>서울특별시 서초구 신반포로 219<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172412863<NA>은평두레생협 녹번역점3110000은평구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.601081126.9349702-6010-6233<NA><NA>서울특별시 은평구 은평로 245 (녹번동)<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172512871<NA>한살림 구파발매장3110000은평구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.640051126.91822202-358-4700<NA><NA>서울특별시 은평구 진관3로 15-35 은평뉴타운구파발 제1001동 103호<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172612883<NA>한살림 방배매장3210000서초구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.487891126.99540102-3471-0055<NA><NA>서울특별시 서초구 서초대로 118 1층(방배동, 양지빌딩2)<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172712855<NA>은평두레생협 응암역점3110000은평구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.60003126.91550702-356-6233<NA><NA>서울특별시 은평구 연서로 9, 센터폴리스 105호<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N
172812889<NA>한살림 상도매장3190000동작구<NA><NA><NA><NA><NA>15친환경유기농식품판매점2021-12-23YY<NA>37.497493126.95350802-824-9200<NA><NA>서울특별시 동작구 상도로37길 79 1층<NA>2021-12-23 13:40:18.02021-12-23 13:40:18.0<NA><NA>N