Overview

Dataset statistics

Number of variables8
Number of observations278
Missing cells55
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory66.5 B

Variable types

Numeric2
Categorical2
DateTime1
Text3

Dataset

Description강릉시 음식물류폐기물다량배출사업장의 데이터로 신고번호, 업소명, 소재지, 전화번호, 신고일 등의 항목을 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15092293/fileData.do

Alerts

연번 is highly overall correlated with 신고번호High correlation
신고번호 is highly overall correlated with 연번High correlation
전화번호 has 55 (19.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:08:06.059846
Analysis finished2023-12-12 18:08:07.303442
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5
Minimum1
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:08:07.698319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.85
Q170.25
median139.5
Q3208.75
95-th percentile264.15
Maximum278
Range277
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation80.395895
Coefficient of variation (CV)0.57631466
Kurtosis-1.2
Mean139.5
Median Absolute Deviation (MAD)69.5
Skewness0
Sum38781
Variance6463.5
MonotonicityStrictly increasing
2023-12-13T03:08:07.852670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
184 1
 
0.4%
176 1
 
0.4%
Other values (268) 268
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%

유형
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
일반음식점
181 
집단급식소
82 
관광숙박업
 
8
휴게음식점
 
5
대규모점포
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 181
65.1%
집단급식소 82
29.5%
관광숙박업 8
 
2.9%
휴게음식점 5
 
1.8%
대규모점포 2
 
0.7%

Length

2023-12-13T03:08:08.030228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:08:08.172105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 181
65.1%
집단급식소 82
29.5%
관광숙박업 8
 
2.9%
휴게음식점 5
 
1.8%
대규모점포 2
 
0.7%

신고번호
Real number (ℝ)

HIGH CORRELATION 

Distinct277
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.78417
Minimum3
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:08:08.301301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile27.85
Q1152.25
median319.5
Q3476.75
95-th percentile540.15
Maximum554
Range551
Interquartile range (IQR)324.5

Descriptive statistics

Standard deviation175.16877
Coefficient of variation (CV)0.572851
Kurtosis-1.378271
Mean305.78417
Median Absolute Deviation (MAD)162.5
Skewness-0.16064847
Sum85008
Variance30684.098
MonotonicityNot monotonic
2023-12-13T03:08:08.433699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
458 2
 
0.7%
208 1
 
0.4%
441 1
 
0.4%
445 1
 
0.4%
120 1
 
0.4%
56 1
 
0.4%
70 1
 
0.4%
442 1
 
0.4%
438 1
 
0.4%
448 1
 
0.4%
Other values (267) 267
96.0%
ValueCountFrequency (%)
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
10 1
0.4%
11 1
0.4%
12 1
0.4%
15 1
0.4%
17 1
0.4%
18 1
0.4%
ValueCountFrequency (%)
554 1
0.4%
553 1
0.4%
552 1
0.4%
551 1
0.4%
550 1
0.4%
549 1
0.4%
548 1
0.4%
547 1
0.4%
546 1
0.4%
545 1
0.4%

신고일
Date

Distinct133
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2014-07-02 00:00:00
Maximum2021-02-17 00:00:00
2023-12-13T03:08:08.589487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:08:08.752140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

읍면동
Categorical

Distinct25
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
교1동
31 
경포동
27 
강동면
26 
주문진읍
20 
초당동
20 
Other values (20)
154 

Length

Max length5
Median length3
Mean length3.1510791
Min length2

Unique

Unique5 ?
Unique (%)1.8%

Sample

1st row성덕동
2nd row성덕동
3rd row교2동
4th row성덕동
5th row교1동

Common Values

ValueCountFrequency (%)
교1동 31
 
11.2%
경포동 27
 
9.7%
강동면 26
 
9.4%
주문진읍 20
 
7.2%
초당동 20
 
7.2%
홍제동 17
 
6.1%
성덕동 17
 
6.1%
중앙동 16
 
5.8%
포남2동 13
 
4.7%
송정동 13
 
4.7%
Other values (15) 78
28.1%

Length

2023-12-13T03:08:08.894215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교1동 31
11.2%
경포동 27
 
9.7%
강동면 26
 
9.4%
주문진읍 21
 
7.6%
초당동 20
 
7.2%
홍제동 17
 
6.1%
성덕동 17
 
6.1%
중앙동 16
 
5.8%
포남2동 13
 
4.7%
송정동 13
 
4.7%
Other values (14) 77
27.7%

업소명
Text

Distinct277
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:08:09.113383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length7.1834532
Min length2

Characters and Unicode

Total characters1997
Distinct characters386
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

Unique276 ?
Unique (%)99.3%

Sample

1st row세인트컨벤션웨딩
2nd row성덕초등학교
3rd row교동초등학교
4th row중앙초등학교
5th row강릉제일고등학교
ValueCountFrequency (%)
주식회사 4
 
1.2%
강릉원주대학교 2
 
0.6%
gangneung 2
 
0.6%
hotel 2
 
0.6%
c 2
 
0.6%
hong 2
 
0.6%
리조트 2
 
0.6%
교동점 2
 
0.6%
킹라이브레스토랑 2
 
0.6%
화로상회 1
 
0.3%
Other values (306) 306
93.6%
2023-12-13T03:08:09.492170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 70
 
3.5%
교 62
 
3.1%
릉 58
 
2.9%
학 52
 
2.6%
49
 
2.5%
원 43
 
2.2%
한 34
 
1.7%
이 32
 
1.6%
등 32
 
1.6%
초 32
 
1.6%
Other values (376) 1533
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1841
92.2%
Space Separator 49
 
2.5%
Uppercase Letter 41
 
2.1%
Lowercase Letter 14
 
0.7%
Other Symbol 13
 
0.7%
Close Punctuation 12
 
0.6%
Open Punctuation 12
 
0.6%
Decimal Number 11
 
0.6%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 70
 
3.8%
교 62
 
3.4%
릉 58
 
3.2%
학 52
 
2.8%
원 43
 
2.3%
한 34
 
1.8%
이 32
 
1.7%
등 32
 
1.7%
초 32
 
1.7%
동 29
 
1.6%
Other values (340) 1397
75.9%
Uppercase Letter
ValueCountFrequency (%)
G 6
14.6%
N 5
12.2%
H 5
12.2%
S 4
9.8%
E 4
9.8%
C 4
9.8%
O 4
9.8%
T 3
7.3%
L 2
 
4.9%
A 1
 
2.4%
Other values (3) 3
7.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
28.6%
t 2
14.3%
a 2
14.3%
g 2
14.3%
e 1
 
7.1%
u 1
 
7.1%
i 1
 
7.1%
o 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
4 2
18.2%
2 2
18.2%
1 2
18.2%
8 1
9.1%
3 1
9.1%
9 1
9.1%
6 1
9.1%
5 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1854
92.8%
Common 88
 
4.4%
Latin 55
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 70
 
3.8%
교 62
 
3.3%
릉 58
 
3.1%
학 52
 
2.8%
원 43
 
2.3%
한 34
 
1.8%
이 32
 
1.7%
등 32
 
1.7%
초 32
 
1.7%
동 29
 
1.6%
Other values (341) 1410
76.1%
Latin
ValueCountFrequency (%)
G 6
10.9%
N 5
 
9.1%
H 5
 
9.1%
S 4
 
7.3%
n 4
 
7.3%
E 4
 
7.3%
C 4
 
7.3%
O 4
 
7.3%
T 3
 
5.5%
t 2
 
3.6%
Other values (11) 14
25.5%
Common
ValueCountFrequency (%)
49
55.7%
) 12
 
13.6%
( 12
 
13.6%
, 2
 
2.3%
4 2
 
2.3%
2 2
 
2.3%
1 2
 
2.3%
8 1
 
1.1%
3 1
 
1.1%
. 1
 
1.1%
Other values (4) 4
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1841
92.2%
ASCII 143
 
7.2%
None 13
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 70
 
3.8%
교 62
 
3.4%
릉 58
 
3.2%
학 52
 
2.8%
원 43
 
2.3%
한 34
 
1.8%
이 32
 
1.7%
등 32
 
1.7%
초 32
 
1.7%
동 29
 
1.6%
Other values (340) 1397
75.9%
ASCII
ValueCountFrequency (%)
49
34.3%
) 12
 
8.4%
( 12
 
8.4%
G 6
 
4.2%
N 5
 
3.5%
H 5
 
3.5%
S 4
 
2.8%
n 4
 
2.8%
E 4
 
2.8%
C 4
 
2.8%
Other values (25) 38
26.6%
None
ValueCountFrequency (%)
㈜ 13
100.0%

소재지
Text

Distinct266
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:08:09.793798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length20.964029
Min length13

Characters and Unicode

Total characters5828
Distinct characters159
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)92.8%

Sample

1st row강원도 강릉시 공항길127번길 5-3 (남항진동)
2nd row강원도 강릉시 용지로 60(입암동)
3rd row강원도 강릉시 율곡로2968번길 10(교동)
4th row강원도 강릉시 성덕포남로 18
5th row강원도 강릉시 화부산로8번길 37(교동)
ValueCountFrequency (%)
강원도 278
22.2%
강릉시 278
22.2%
강동면 26
 
2.1%
주문진읍 21
 
1.7%
해안로 16
 
1.3%
2층 13
 
1.0%
구정면 11
 
0.9%
솔올로 10
 
0.8%
연주로 8
 
0.6%
창해로 7
 
0.6%
Other values (406) 584
46.6%
2023-12-13T03:08:10.297436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1010
17.3%
강 617
 
10.6%
릉 290
 
5.0%
원 283
 
4.9%
시 282
 
4.8%
도 280
 
4.8%
1 204
 
3.5%
로 202
 
3.5%
동 186
 
3.2%
2 138
 
2.4%
Other values (149) 2336
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3469
59.5%
Space Separator 1010
 
17.3%
Decimal Number 984
 
16.9%
Close Punctuation 135
 
2.3%
Open Punctuation 135
 
2.3%
Dash Punctuation 62
 
1.1%
Other Punctuation 32
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 617
17.8%
릉 290
 
8.4%
원 283
 
8.2%
시 282
 
8.1%
도 280
 
8.1%
로 202
 
5.8%
동 186
 
5.4%
길 138
 
4.0%
번 64
 
1.8%
면 53
 
1.5%
Other values (132) 1074
31.0%
Decimal Number
ValueCountFrequency (%)
1 204
20.7%
2 138
14.0%
4 103
10.5%
3 96
9.8%
0 94
9.6%
5 89
9.0%
7 77
 
7.8%
9 65
 
6.6%
8 59
 
6.0%
6 59
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
. 1
 
3.1%
Space Separator
ValueCountFrequency (%)
1010
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3469
59.5%
Common 2359
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 617
17.8%
릉 290
 
8.4%
원 283
 
8.2%
시 282
 
8.1%
도 280
 
8.1%
로 202
 
5.8%
동 186
 
5.4%
길 138
 
4.0%
번 64
 
1.8%
면 53
 
1.5%
Other values (132) 1074
31.0%
Common
ValueCountFrequency (%)
1010
42.8%
1 204
 
8.6%
2 138
 
5.8%
) 135
 
5.7%
( 135
 
5.7%
4 103
 
4.4%
3 96
 
4.1%
0 94
 
4.0%
5 89
 
3.8%
7 77
 
3.3%
Other values (7) 278
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3469
59.5%
ASCII 2359
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1010
42.8%
1 204
 
8.6%
2 138
 
5.8%
) 135
 
5.7%
( 135
 
5.7%
4 103
 
4.4%
3 96
 
4.1%
0 94
 
4.0%
5 89
 
3.8%
7 77
 
3.3%
Other values (7) 278
 
11.8%
Hangul
ValueCountFrequency (%)
강 617
17.8%
릉 290
 
8.4%
원 283
 
8.2%
시 282
 
8.1%
도 280
 
8.1%
로 202
 
5.8%
동 186
 
5.4%
길 138
 
4.0%
번 64
 
1.8%
면 53
 
1.5%
Other values (132) 1074
31.0%

전화번호
Text

MISSING 

Distinct219
Distinct (%)98.2%
Missing55
Missing (%)19.8%
Memory size2.3 KiB
2023-12-13T03:08:10.546518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.484305
Min length8

Characters and Unicode

Total characters2338
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

Unique215 ?
Unique (%)96.4%

Sample

1st row033-653-2131
2nd row033-650-4192
3rd row033-644-4375
4th row033-650-8404
5th row033-650-0120
ValueCountFrequency (%)
033-662-3355 2
 
0.9%
610-7059 2
 
0.9%
033-645-5668 2
 
0.9%
033-923-2088 2
 
0.9%
033-650-7071 1
 
0.4%
033-646-0052 1
 
0.4%
033-644-6168 1
 
0.4%
033-644-8345 1
 
0.4%
033-641-0332 1
 
0.4%
033-662-1131 1
 
0.4%
Other values (209) 209
93.7%
2023-12-13T03:08:10.893568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 380
16.3%
- 361
15.4%
0 336
14.4%
6 314
13.4%
4 219
9.4%
5 181
7.7%
1 152
 
6.5%
2 119
 
5.1%
8 103
 
4.4%
7 98
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1977
84.6%
Dash Punctuation 361
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 380
19.2%
0 336
17.0%
6 314
15.9%
4 219
11.1%
5 181
9.2%
1 152
 
7.7%
2 119
 
6.0%
8 103
 
5.2%
7 98
 
5.0%
9 75
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 380
16.3%
- 361
15.4%
0 336
14.4%
6 314
13.4%
4 219
9.4%
5 181
7.7%
1 152
 
6.5%
2 119
 
5.1%
8 103
 
4.4%
7 98
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 380
16.3%
- 361
15.4%
0 336
14.4%
6 314
13.4%
4 219
9.4%
5 181
7.7%
1 152
 
6.5%
2 119
 
5.1%
8 103
 
4.4%
7 98
 
4.2%

Interactions

2023-12-13T03:08:06.789641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:08:06.596984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:08:06.910341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:08:06.692390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:08:10.990783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형신고번호읍면동
연번1.0000.4530.9840.317
유형0.4531.0000.5130.478
신고번호0.9840.5131.0000.312
읍면동0.3170.4780.3121.000
2023-12-13T03:08:11.075783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형읍면동
유형1.0000.218
읍면동0.2181.000
2023-12-13T03:08:11.155395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고번호유형읍면동
연번1.0000.9760.2020.112
신고번호0.9761.0000.2350.110
유형0.2020.2351.0000.218
읍면동0.1120.1100.2181.000

Missing values

2023-12-13T03:08:07.075220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:08:07.236711image/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

연번유형신고번호신고일읍면동업소명소재지전화번호
01일반음식점2082014-07-02성덕동세인트컨벤션웨딩강원도 강릉시 공항길127번길 5-3 (남항진동)033-653-2131
12집단급식소32014-07-03성덕동성덕초등학교강원도 강릉시 용지로 60(입암동)033-650-4192
23집단급식소42014-07-04교2동교동초등학교강원도 강릉시 율곡로2968번길 10(교동)033-644-4375
34집단급식소52014-07-04성덕동중앙초등학교강원도 강릉시 성덕포남로 18033-650-8404
45집단급식소62014-07-04교1동강릉제일고등학교강원도 강릉시 화부산로8번길 37(교동)033-650-0120
56일반음식점122014-07-07내곡동강릉뚝배기강원도 강릉시 남부로 5(내곡동)033-645-9825
67집단급식소102014-07-07옥계면옥계초등학교강원도 강릉시 옥계면 옥계로 1074033-534-0026
78집단급식소112014-07-07포남2동동명중학교강원도 강릉시 보래미하길79번길 21(포남동)033-610-8803
89집단급식소172014-07-08주문진읍사임당교육원강원도 강릉시 주문진읍 연주로 284-24033-640-6511
910집단급식소292014-07-08포남1동남강초등학교강원도 강릉시 경강로2310번길 7호(포남동)033-653-1614
연번유형신고번호신고일읍면동업소명소재지전화번호
268269일반음식점5462020-06-05강동면오늘의 만찬강원도 강릉시 강동면 율곡로 1959-1, 1층<NA>
269270일반음식점5472020-08-11경포동왕궁랍스타해신탕강원도 강릉시 해안로 280 (강문동)<NA>
270271일반음식점5482020-08-11홍제동화로상회 강릉유천점강원도 강릉시 사임당로 143 (홍제동)<NA>
271272일반음식점5492020-08-11경포동비치플러그인강원도 강릉시 창해로 473 (강문동)<NA>
272273집단급식소4582020-08-11경포동유천초등학교강원도 강릉시 선수촌로 100 (유천동)033-820-8000
273274집단급식소5502020-09-15교1동한가온 한방병원강원도 강릉시 솔올로 35 (교동)033-655-7579
274275일반음식점5512020-10-27포남2동한전구내식당강원도 강릉시 강릉대로 563 (포남동)<NA>
275276일반음식점5522020-12-17강동면토담밥상 주식회사강원도 강릉시 강동면 갯목길 55<NA>
276277일반음식점5532020-12-17경포동메밀골동해막국수강문점강원도 강릉시 창해로350번길 25<NA>
277278일반음식점5542021-02-17강동면강릉시골밥상강원도 강릉시 강동면 원장봉길 70-17<NA>