Overview

Dataset statistics

Number of variables9
Number of observations5027
Missing cells1725
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.5 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Categorical2
Text3
DateTime3

Dataset

Description인천 광역시 서구 관내에 위치한 일반음식점 신고현황 (업종명, 업소명, 인허가일지, 소재지(도로명,지번), 전화번호, 영업자 시작, 지위승계)현행 데이터 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089644&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 지위승계여부High correlation
지위승계여부 is highly overall correlated with 연번High correlation
전화번호 has 1725 (34.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 05:37:57.276842
Analysis finished2024-03-13 05:37:58.637433
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5027
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2514
Minimum1
Maximum5027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.3 KiB
2024-03-13T14:37:58.740868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile252.3
Q11257.5
median2514
Q33770.5
95-th percentile4775.7
Maximum5027
Range5026
Interquartile range (IQR)2513

Descriptive statistics

Standard deviation1451.3142
Coefficient of variation (CV)0.57729285
Kurtosis-1.2
Mean2514
Median Absolute Deviation (MAD)1257
Skewness0
Sum12637878
Variance2106313
MonotonicityStrictly increasing
2024-03-13T14:37:58.904866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3350 1
 
< 0.1%
3357 1
 
< 0.1%
3356 1
 
< 0.1%
3355 1
 
< 0.1%
3354 1
 
< 0.1%
3353 1
 
< 0.1%
3352 1
 
< 0.1%
3351 1
 
< 0.1%
3349 1
 
< 0.1%
Other values (5017) 5017
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5027 1
< 0.1%
5026 1
< 0.1%
5025 1
< 0.1%
5024 1
< 0.1%
5023 1
< 0.1%
5022 1
< 0.1%
5021 1
< 0.1%
5020 1
< 0.1%
5019 1
< 0.1%
5018 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
일반음식점
5027 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5027
100.0%

Length

2024-03-13T14:37:59.036990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:59.127233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5027
100.0%

업소명
Text

Distinct4634
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-03-13T14:37:59.391079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length6.2592003
Min length1

Characters and Unicode

Total characters31465
Distinct characters921
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4380 ?
Unique (%)87.1%

Sample

1st row(주)신태진
2nd row집밥
3rd row예전
4th row일미정
5th row드럼통숯불구이
ValueCountFrequency (%)
청라점 58
 
1.0%
김밥천국 19
 
0.3%
검단점 18
 
0.3%
인천청라점 12
 
0.2%
감자탕 11
 
0.2%
신현점 11
 
0.2%
서구청점 11
 
0.2%
가좌점 10
 
0.2%
검암점 9
 
0.2%
투다리 9
 
0.2%
Other values (4941) 5673
97.1%
2024-03-13T14:37:59.865258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 885
 
2.8%
814
 
2.6%
이 604
 
1.9%
라 503
 
1.6%
식 484
 
1.5%
청 427
 
1.4%
리 421
 
1.3%
가 404
 
1.3%
당 399
 
1.3%
치 398
 
1.3%
Other values (911) 26126
83.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28610
90.9%
Space Separator 814
 
2.6%
Uppercase Letter 646
 
2.1%
Lowercase Letter 349
 
1.1%
Decimal Number 340
 
1.1%
Close Punctuation 305
 
1.0%
Open Punctuation 305
 
1.0%
Other Punctuation 89
 
0.3%
Dash Punctuation 6
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 885
 
3.1%
이 604
 
2.1%
라 503
 
1.8%
식 484
 
1.7%
청 427
 
1.5%
리 421
 
1.5%
가 404
 
1.4%
당 399
 
1.4%
치 398
 
1.4%
스 398
 
1.4%
Other values (840) 23687
82.8%
Uppercase Letter
ValueCountFrequency (%)
C 65
 
10.1%
B 60
 
9.3%
O 59
 
9.1%
E 53
 
8.2%
A 45
 
7.0%
H 39
 
6.0%
N 30
 
4.6%
T 30
 
4.6%
S 29
 
4.5%
F 25
 
3.9%
Other values (16) 211
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 55
15.8%
a 37
 
10.6%
o 26
 
7.4%
c 23
 
6.6%
s 20
 
5.7%
i 19
 
5.4%
h 19
 
5.4%
t 18
 
5.2%
f 17
 
4.9%
n 16
 
4.6%
Other values (14) 99
28.4%
Decimal Number
ValueCountFrequency (%)
1 69
20.3%
2 61
17.9%
0 47
13.8%
9 40
11.8%
8 28
8.2%
3 24
 
7.1%
5 21
 
6.2%
7 19
 
5.6%
4 17
 
5.0%
6 14
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 58
65.2%
. 14
 
15.7%
' 9
 
10.1%
· 6
 
6.7%
# 1
 
1.1%
% 1
 
1.1%
Space Separator
ValueCountFrequency (%)
814
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28585
90.8%
Common 1859
 
5.9%
Latin 996
 
3.2%
Han 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 885
 
3.1%
이 604
 
2.1%
라 503
 
1.8%
식 484
 
1.7%
청 427
 
1.5%
리 421
 
1.5%
가 404
 
1.4%
당 399
 
1.4%
치 398
 
1.4%
스 398
 
1.4%
Other values (817) 23662
82.8%
Latin
ValueCountFrequency (%)
C 65
 
6.5%
B 60
 
6.0%
O 59
 
5.9%
e 55
 
5.5%
E 53
 
5.3%
A 45
 
4.5%
H 39
 
3.9%
a 37
 
3.7%
N 30
 
3.0%
T 30
 
3.0%
Other values (41) 523
52.5%
Han
ValueCountFrequency (%)
味 2
 
8.0%
家 2
 
8.0%
香 1
 
4.0%
牛 1
 
4.0%
食 1
 
4.0%
美 1
 
4.0%
親 1
 
4.0%
堂 1
 
4.0%
足 1
 
4.0%
喜 1
 
4.0%
Other values (13) 13
52.0%
Common
ValueCountFrequency (%)
814
43.8%
) 305
 
16.4%
( 305
 
16.4%
1 69
 
3.7%
2 61
 
3.3%
& 58
 
3.1%
0 47
 
2.5%
9 40
 
2.2%
8 28
 
1.5%
3 24
 
1.3%
Other values (10) 108
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28584
90.8%
ASCII 2848
 
9.1%
CJK 24
 
0.1%
None 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 885
 
3.1%
이 604
 
2.1%
라 503
 
1.8%
식 484
 
1.7%
청 427
 
1.5%
리 421
 
1.5%
가 404
 
1.4%
당 399
 
1.4%
치 398
 
1.4%
스 398
 
1.4%
Other values (816) 23661
82.8%
ASCII
ValueCountFrequency (%)
814
28.6%
) 305
 
10.7%
( 305
 
10.7%
1 69
 
2.4%
C 65
 
2.3%
2 61
 
2.1%
B 60
 
2.1%
O 59
 
2.1%
& 58
 
2.0%
e 55
 
1.9%
Other values (59) 997
35.0%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
味 2
 
8.3%
家 2
 
8.3%
香 1
 
4.2%
牛 1
 
4.2%
食 1
 
4.2%
美 1
 
4.2%
親 1
 
4.2%
堂 1
 
4.2%
足 1
 
4.2%
喜 1
 
4.2%
Other values (12) 12
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%

인허가일자
Date

Distinct3011
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
Minimum1972-02-12 00:00:00
Maximum2020-08-31 00:00:00
2024-03-13T14:37:59.993713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:38:00.238409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지(도로명)
Text

Distinct4814
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-03-13T14:38:00.520187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length29.686294
Min length16

Characters and Unicode

Total characters149233
Distinct characters427
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4642 ?
Unique (%)92.3%

Sample

1st row인천광역시 서구 도요지로 37 (경서동 국제골프장)
2nd row인천광역시 서구 가재울로 64 (가좌동)
3rd row인천광역시 서구 가정로98번길 9-4 (가좌동)
4th row인천광역시 서구 방축로 335 (가좌동)
5th row인천광역시 서구 길주로75번길 1 (석남동)
ValueCountFrequency (%)
인천광역시 5027
 
16.8%
서구 5027
 
16.8%
1층 1267
 
4.2%
석남동 720
 
2.4%
가좌동 617
 
2.1%
청라동 482
 
1.6%
연희동 439
 
1.5%
심곡동 382
 
1.3%
마전동 374
 
1.2%
가정동 356
 
1.2%
Other values (3920) 15277
51.0%
2024-03-13T14:38:01.022764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26599
 
17.8%
1 8582
 
5.8%
동 5571
 
3.7%
서 5484
 
3.7%
시 5106
 
3.4%
인 5103
 
3.4%
천 5087
 
3.4%
광 5061
 
3.4%
구 5040
 
3.4%
역 5029
 
3.4%
Other values (417) 72571
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82016
55.0%
Decimal Number 30403
 
20.4%
Space Separator 26599
 
17.8%
Close Punctuation 3471
 
2.3%
Open Punctuation 3471
 
2.3%
Dash Punctuation 2326
 
1.6%
Math Symbol 458
 
0.3%
Uppercase Letter 455
 
0.3%
Lowercase Letter 20
 
< 0.1%
Other Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5571
 
6.8%
서 5484
 
6.7%
시 5106
 
6.2%
인 5103
 
6.2%
천 5087
 
6.2%
광 5061
 
6.2%
구 5040
 
6.1%
역 5029
 
6.1%
로 3350
 
4.1%
호 2354
 
2.9%
Other values (370) 34831
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 248
54.5%
A 101
22.2%
K 16
 
3.5%
D 16
 
3.5%
M 15
 
3.3%
C 12
 
2.6%
F 9
 
2.0%
J 8
 
1.8%
S 7
 
1.5%
H 5
 
1.1%
Other values (9) 18
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 8582
28.2%
2 4020
13.2%
0 3755
12.4%
3 2507
 
8.2%
4 2340
 
7.7%
5 2237
 
7.4%
6 1911
 
6.3%
8 1763
 
5.8%
7 1694
 
5.6%
9 1594
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
s 7
35.0%
e 6
30.0%
c 2
 
10.0%
k 2
 
10.0%
n 1
 
5.0%
p 1
 
5.0%
m 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 6
46.2%
& 5
38.5%
@ 1
 
7.7%
: 1
 
7.7%
Math Symbol
ValueCountFrequency (%)
~ 457
99.8%
→ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
26599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2326
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82016
55.0%
Common 66741
44.7%
Latin 476
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5571
 
6.8%
서 5484
 
6.7%
시 5106
 
6.2%
인 5103
 
6.2%
천 5087
 
6.2%
광 5061
 
6.2%
구 5040
 
6.1%
역 5029
 
6.1%
로 3350
 
4.1%
호 2354
 
2.9%
Other values (370) 34831
42.5%
Latin
ValueCountFrequency (%)
B 248
52.1%
A 101
21.2%
K 16
 
3.4%
D 16
 
3.4%
M 15
 
3.2%
C 12
 
2.5%
F 9
 
1.9%
J 8
 
1.7%
S 7
 
1.5%
s 7
 
1.5%
Other values (17) 37
 
7.8%
Common
ValueCountFrequency (%)
26599
39.9%
1 8582
 
12.9%
2 4020
 
6.0%
0 3755
 
5.6%
) 3471
 
5.2%
( 3471
 
5.2%
3 2507
 
3.8%
4 2340
 
3.5%
- 2326
 
3.5%
5 2237
 
3.4%
Other values (10) 7433
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82014
55.0%
ASCII 67215
45.0%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26599
39.6%
1 8582
 
12.8%
2 4020
 
6.0%
0 3755
 
5.6%
) 3471
 
5.2%
( 3471
 
5.2%
3 2507
 
3.7%
4 2340
 
3.5%
- 2326
 
3.5%
5 2237
 
3.3%
Other values (35) 7907
 
11.8%
Hangul
ValueCountFrequency (%)
동 5571
 
6.8%
서 5484
 
6.7%
시 5106
 
6.2%
인 5103
 
6.2%
천 5087
 
6.2%
광 5061
 
6.2%
구 5040
 
6.1%
역 5029
 
6.1%
로 3350
 
4.1%
호 2354
 
2.9%
Other values (369) 34829
42.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

전화번호
Text

MISSING 

Distinct3229
Distinct (%)97.8%
Missing1725
Missing (%)34.3%
Memory size39.4 KiB
2024-03-13T14:38:01.295944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021502
Min length11

Characters and Unicode

Total characters39695
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

Unique3165 ?
Unique (%)95.9%

Sample

1st row032-562-6666
2nd row032-578-0062
3rd row032-584-4661
4th row032-577-7932
5th row032-572-9115
ValueCountFrequency (%)
032-560-1717 5
 
0.2%
032-562-6666 5
 
0.2%
032-571-5771 3
 
0.1%
032-514-9991 3
 
0.1%
032-280-1716 3
 
0.1%
032-567-1122 2
 
0.1%
032-525-0022 2
 
0.1%
032-578-9665 2
 
0.1%
032-569-4112 2
 
0.1%
032-562-8666 2
 
0.1%
Other values (3219) 3273
99.1%
2024-03-13T14:38:01.787922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6604
16.6%
2 5396
13.6%
0 4958
12.5%
3 4899
12.3%
5 4897
12.3%
6 3292
8.3%
7 2763
7.0%
8 2090
 
5.3%
9 1724
 
4.3%
1 1707
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33091
83.4%
Dash Punctuation 6604
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5396
16.3%
0 4958
15.0%
3 4899
14.8%
5 4897
14.8%
6 3292
9.9%
7 2763
8.3%
8 2090
 
6.3%
9 1724
 
5.2%
1 1707
 
5.2%
4 1365
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 6604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39695
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6604
16.6%
2 5396
13.6%
0 4958
12.5%
3 4899
12.3%
5 4897
12.3%
6 3292
8.3%
7 2763
7.0%
8 2090
 
5.3%
9 1724
 
4.3%
1 1707
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39695
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6604
16.6%
2 5396
13.6%
0 4958
12.5%
3 4899
12.3%
5 4897
12.3%
6 3292
8.3%
7 2763
7.0%
8 2090
 
5.3%
9 1724
 
4.3%
1 1707
 
4.3%

영업자 시작일
Date

Distinct2072
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
Minimum1981-11-12 00:00:00
Maximum2020-09-02 00:00:00
2024-03-13T14:38:01.997179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:38:02.453442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지위승계여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
승계
2947 
신규
2080 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승계 2947
58.6%
신규 2080
41.4%

Length

2024-03-13T14:38:02.582602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:38:02.693721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승계 2947
58.6%
신규 2080
41.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
Minimum2022-09-06 00:00:00
Maximum2022-09-06 00:00:00
2024-03-13T14:38:02.793622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:38:02.902118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T14:37:58.283601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T14:38:02.967935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지위승계여부
연번1.0000.742
지위승계여부0.7421.000
2024-03-13T14:38:03.057167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지위승계여부
연번1.0000.582
지위승계여부0.5821.000

Missing values

2024-03-13T14:37:58.407417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:37:58.561277image/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

연번업종명업소명인허가일자소재지(도로명)전화번호영업자 시작일지위승계여부데이터기준일
01일반음식점(주)신태진1972-02-12인천광역시 서구 도요지로 37 (경서동 국제골프장)032-562-66661996-04-24승계2022-09-06
12일반음식점집밥1972-09-12인천광역시 서구 가재울로 64 (가좌동)032-578-00622020-06-12승계2022-09-06
23일반음식점예전1974-06-30인천광역시 서구 가정로98번길 9-4 (가좌동)032-584-46612006-03-30승계2022-09-06
34일반음식점일미정1980-09-04인천광역시 서구 방축로 335 (가좌동)032-577-79322010-04-22승계2022-09-06
45일반음식점드럼통숯불구이1980-10-29인천광역시 서구 길주로75번길 1 (석남동)<NA>2006-06-15승계2022-09-06
56일반음식점풍천힘센장어1981-06-27인천광역시 서구 율도로36번길 2 (석남동)032-572-91152018-11-22승계2022-09-06
67일반음식점효정통닭1981-11-12인천광역시 서구 가정로126번길 16 (가좌동)032-576-05211981-11-12신규2022-09-06
78일반음식점추장군1982-06-22인천광역시 서구 검단로487번길 4 (마전동)032-562-59272017-07-12승계2022-09-06
89일반음식점성원닭갈비식당1983-08-27인천광역시 서구 가정로98번길 6 (가좌동)032-572-93311993-04-02승계2022-09-06
910일반음식점본죽1984-05-14인천광역시 서구 가정로 187 (석남동)032-582-40692007-05-07승계2022-09-06
연번업종명업소명인허가일자소재지(도로명)전화번호영업자 시작일지위승계여부데이터기준일
50175018일반음식점예뿔리야2020-08-28인천광역시 서구 탁옥로 50 A동 2층 (심곡동)032-567-51122020-08-28신규2022-09-06
50185019일반음식점엄마찬스2020-08-28인천광역시 서구 청라한내로 132 상가2동 108호 (청라동 청라한양수자인레이크블루)<NA>2020-08-28신규2022-09-06
50195020일반음식점시드커피2020-08-28인천광역시 서구 가재울로 109 111호 (가좌동)<NA>2020-08-28신규2022-09-06
50205021일반음식점룡곱창2020-08-28인천광역시 서구 중봉대로586번길 22 A동 140호 (청라동 청라 풍림 엑슬루타워 판매시설)032-567-23252020-08-28신규2022-09-06
50215022일반음식점이화마라2020-08-31인천광역시 서구 승학로 497 202호 (검암동 검암프라자)<NA>2020-08-31신규2022-09-06
50225023일반음식점더회수산2020-08-31인천광역시 서구 원당대로839번길 35-1 B06호 (원당동)<NA>2020-08-31신규2022-09-06
50235024일반음식점배달삼겹돼지되지청라점2020-08-31인천광역시 서구 청라에메랄드로102번길 8-18 B07호 (청라동 청라캐널큐브)<NA>2020-08-31신규2022-09-06
50245025일반음식점명륜진사갈비(루원시티점)2020-08-31인천광역시 서구 염곡로498번안길 28 201~202호 (가정동 청담프라자)<NA>2020-08-31신규2022-09-06
50255026일반음식점연탄대포집1981(본점)2020-08-31인천광역시 서구 중봉대로586번길 9-4 104호 (청라동 쓰리엠타워)<NA>2020-08-31신규2022-09-06
50265027일반음식점삼겹1번지2020-08-31인천광역시 서구 봉오재3로94번길 19 117~118호 (가정동 에이스타워)<NA>2020-08-31신규2022-09-06