Overview

Dataset statistics

Number of variables6
Number of observations283
Missing cells215
Missing cells (%)12.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구의 식품자동판매기 영업 현황에 대한 데이터로 업소명, 도로명주소, 지번주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15080843/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 213 (75.3%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:42:14.152789
Analysis finished2024-03-23 05:42:15.583450
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142
Minimum1
Maximum283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-23T14:42:15.727041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.1
Q171.5
median142
Q3212.5
95-th percentile268.9
Maximum283
Range282
Interquartile range (IQR)141

Descriptive statistics

Standard deviation81.839273
Coefficient of variation (CV)0.57633291
Kurtosis-1.2
Mean142
Median Absolute Deviation (MAD)71
Skewness0
Sum40186
Variance6697.6667
MonotonicityStrictly increasing
2024-03-23T14:42:16.117647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
188 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
187 1
 
0.4%
196 1
 
0.4%
Other values (273) 273
96.5%
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 (%)
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
식품자동판매기영업
283 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 283
100.0%

Length

2024-03-23T14:42:16.382689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:42:16.541301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 283
100.0%

업소명
Text

UNIQUE 

Distinct283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-23T14:42:17.535686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.8939929
Min length2

Characters and Unicode

Total characters2800
Distinct characters326
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)100.0%

Sample

1st row경기은행석암지점
2nd row공원슈퍼자동판매기
3rd row신기충전소
4th row가나흑염소
5th row이건산업내자동판매기
ValueCountFrequency (%)
이마트24 31
 
6.3%
지에스25 29
 
5.9%
나우커피 22
 
4.5%
씨유 22
 
4.5%
세븐일레븐 12
 
2.4%
카페 6
 
1.2%
gs25 5
 
1.0%
무인카페 5
 
1.0%
코레일유통(주 5
 
1.0%
자판기 4
 
0.8%
Other values (322) 350
71.3%
2024-03-23T14:42:18.327508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
 
7.5%
점 172
 
6.1%
2 92
 
3.3%
스 70
 
2.5%
인 70
 
2.5%
이 69
 
2.5%
주 66
 
2.4%
트 59
 
2.1%
안 55
 
2.0%
5 47
 
1.7%
Other values (316) 1891
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2241
80.0%
Space Separator 209
 
7.5%
Decimal Number 196
 
7.0%
Uppercase Letter 70
 
2.5%
Close Punctuation 28
 
1.0%
Open Punctuation 28
 
1.0%
Lowercase Letter 26
 
0.9%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 172
 
7.7%
스 70
 
3.1%
인 70
 
3.1%
이 69
 
3.1%
주 66
 
2.9%
트 59
 
2.6%
안 55
 
2.5%
지 47
 
2.1%
피 46
 
2.1%
마 45
 
2.0%
Other values (276) 1542
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 17
24.3%
G 13
18.6%
C 10
14.3%
U 6
 
8.6%
A 4
 
5.7%
E 3
 
4.3%
O 2
 
2.9%
N 2
 
2.9%
H 2
 
2.9%
T 2
 
2.9%
Other values (8) 9
12.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
23.1%
f 5
19.2%
a 4
15.4%
c 4
15.4%
o 3
11.5%
n 1
 
3.8%
w 1
 
3.8%
s 1
 
3.8%
p 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 92
46.9%
5 47
24.0%
4 43
21.9%
1 6
 
3.1%
3 3
 
1.5%
8 2
 
1.0%
6 2
 
1.0%
7 1
 
0.5%
Space Separator
ValueCountFrequency (%)
209
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2241
80.0%
Common 463
 
16.5%
Latin 96
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 172
 
7.7%
스 70
 
3.1%
인 70
 
3.1%
이 69
 
3.1%
주 66
 
2.9%
트 59
 
2.6%
안 55
 
2.5%
지 47
 
2.1%
피 46
 
2.1%
마 45
 
2.0%
Other values (276) 1542
68.8%
Latin
ValueCountFrequency (%)
S 17
17.7%
G 13
13.5%
C 10
10.4%
U 6
 
6.2%
e 6
 
6.2%
f 5
 
5.2%
A 4
 
4.2%
a 4
 
4.2%
c 4
 
4.2%
E 3
 
3.1%
Other values (17) 24
25.0%
Common
ValueCountFrequency (%)
209
45.1%
2 92
19.9%
5 47
 
10.2%
4 43
 
9.3%
) 28
 
6.0%
( 28
 
6.0%
1 6
 
1.3%
3 3
 
0.6%
8 2
 
0.4%
6 2
 
0.4%
Other values (3) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2241
80.0%
ASCII 559
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
37.4%
2 92
16.5%
5 47
 
8.4%
4 43
 
7.7%
) 28
 
5.0%
( 28
 
5.0%
S 17
 
3.0%
G 13
 
2.3%
C 10
 
1.8%
U 6
 
1.1%
Other values (30) 66
 
11.8%
Hangul
ValueCountFrequency (%)
점 172
 
7.7%
스 70
 
3.1%
인 70
 
3.1%
이 69
 
3.1%
주 66
 
2.9%
트 59
 
2.6%
안 55
 
2.5%
지 47
 
2.1%
피 46
 
2.1%
마 45
 
2.0%
Other values (276) 1542
68.8%

소재지(도로명)
Text

Distinct279
Distinct (%)99.3%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2024-03-23T14:42:19.019847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length33.081851
Min length22

Characters and Unicode

Total characters9296
Distinct characters239
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)98.6%

Sample

1st row인천광역시 미추홀구 경인로 433 (주안동)
2nd row인천광역시 미추홀구 수봉로 81 (숭의동)
3rd row인천광역시 미추홀구 인하로 277 (주안동)
4th row인천광역시 미추홀구 인하로 272 (주안동)
5th row인천광역시 미추홀구 송림로307번길 132 (도화동)
ValueCountFrequency (%)
인천광역시 281
 
15.6%
미추홀구 281
 
15.6%
1층 135
 
7.5%
주안동 105
 
5.8%
용현동 51
 
2.8%
도화동 42
 
2.3%
숭의동 37
 
2.1%
학익동 23
 
1.3%
일부호 19
 
1.1%
경인로 19
 
1.1%
Other values (484) 807
44.8%
2024-03-23T14:42:19.950498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1520
 
16.4%
1 427
 
4.6%
인 366
 
3.9%
동 331
 
3.6%
미 303
 
3.3%
홀 303
 
3.3%
추 299
 
3.2%
천 291
 
3.1%
역 287
 
3.1%
시 286
 
3.1%
Other values (229) 4883
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5523
59.4%
Space Separator 1520
 
16.4%
Decimal Number 1384
 
14.9%
Close Punctuation 283
 
3.0%
Open Punctuation 283
 
3.0%
Other Punctuation 249
 
2.7%
Dash Punctuation 35
 
0.4%
Uppercase Letter 16
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 366
 
6.6%
동 331
 
6.0%
미 303
 
5.5%
홀 303
 
5.5%
추 299
 
5.4%
천 291
 
5.3%
역 287
 
5.2%
시 286
 
5.2%
구 284
 
5.1%
광 281
 
5.1%
Other values (201) 2492
45.1%
Decimal Number
ValueCountFrequency (%)
1 427
30.9%
2 179
12.9%
0 139
 
10.0%
4 130
 
9.4%
3 126
 
9.1%
5 100
 
7.2%
6 84
 
6.1%
7 76
 
5.5%
8 72
 
5.2%
9 51
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
B 3
18.8%
S 2
12.5%
K 2
12.5%
E 1
 
6.2%
V 1
 
6.2%
W 1
 
6.2%
I 1
 
6.2%
G 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 248
99.6%
. 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
y 1
50.0%
Space Separator
ValueCountFrequency (%)
1520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5523
59.4%
Common 3755
40.4%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 366
 
6.6%
동 331
 
6.0%
미 303
 
5.5%
홀 303
 
5.5%
추 299
 
5.4%
천 291
 
5.3%
역 287
 
5.2%
시 286
 
5.2%
구 284
 
5.1%
광 281
 
5.1%
Other values (201) 2492
45.1%
Common
ValueCountFrequency (%)
1520
40.5%
1 427
 
11.4%
) 283
 
7.5%
( 283
 
7.5%
, 248
 
6.6%
2 179
 
4.8%
0 139
 
3.7%
4 130
 
3.5%
3 126
 
3.4%
5 100
 
2.7%
Other values (7) 320
 
8.5%
Latin
ValueCountFrequency (%)
A 4
22.2%
B 3
16.7%
S 2
11.1%
K 2
11.1%
k 1
 
5.6%
E 1
 
5.6%
y 1
 
5.6%
V 1
 
5.6%
W 1
 
5.6%
I 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5523
59.4%
ASCII 3773
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1520
40.3%
1 427
 
11.3%
) 283
 
7.5%
( 283
 
7.5%
, 248
 
6.6%
2 179
 
4.7%
0 139
 
3.7%
4 130
 
3.4%
3 126
 
3.3%
5 100
 
2.7%
Other values (18) 338
 
9.0%
Hangul
ValueCountFrequency (%)
인 366
 
6.6%
동 331
 
6.0%
미 303
 
5.5%
홀 303
 
5.5%
추 299
 
5.4%
천 291
 
5.3%
역 287
 
5.2%
시 286
 
5.2%
구 284
 
5.1%
광 281
 
5.1%
Other values (201) 2492
45.1%

소재지(지번)
Text

Distinct276
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-23T14:42:20.445103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length24.964664
Min length19

Characters and Unicode

Total characters7065
Distinct characters204
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)95.1%

Sample

1st row인천광역시 미추홀구 주안동 1007-5
2nd row인천광역시 미추홀구 숭의동 13-17 7통5반
3rd row인천광역시 미추홀구 주안동 1462-7
4th row인천광역시 미추홀구 주안동 1315-12
5th row인천광역시 미추홀구 도화동 825
ValueCountFrequency (%)
인천광역시 283
21.0%
미추홀구 283
21.0%
주안동 106
 
7.9%
용현동 52
 
3.9%
도화동 43
 
3.2%
숭의동 37
 
2.7%
1층 32
 
2.4%
학익동 24
 
1.8%
문학동 12
 
0.9%
관교동 11
 
0.8%
Other values (401) 466
34.5%
2024-03-23T14:42:21.475590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1316
18.6%
1 339
 
4.8%
동 310
 
4.4%
인 296
 
4.2%
역 289
 
4.1%
미 288
 
4.1%
천 288
 
4.1%
시 286
 
4.0%
추 285
 
4.0%
홀 285
 
4.0%
Other values (194) 3083
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4099
58.0%
Decimal Number 1368
 
19.4%
Space Separator 1316
 
18.6%
Dash Punctuation 244
 
3.5%
Other Punctuation 18
 
0.3%
Uppercase Letter 14
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 310
 
7.6%
인 296
 
7.2%
역 289
 
7.1%
미 288
 
7.0%
천 288
 
7.0%
시 286
 
7.0%
추 285
 
7.0%
홀 285
 
7.0%
광 283
 
6.9%
구 283
 
6.9%
Other values (168) 1206
29.4%
Decimal Number
ValueCountFrequency (%)
1 339
24.8%
2 150
11.0%
3 137
10.0%
4 128
 
9.4%
5 120
 
8.8%
6 105
 
7.7%
7 104
 
7.6%
0 100
 
7.3%
8 97
 
7.1%
9 88
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
S 2
14.3%
K 2
14.3%
B 2
14.3%
W 1
 
7.1%
E 1
 
7.1%
I 1
 
7.1%
V 1
 
7.1%
G 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
y 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
1316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4099
58.0%
Common 2950
41.8%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 310
 
7.6%
인 296
 
7.2%
역 289
 
7.1%
미 288
 
7.0%
천 288
 
7.0%
시 286
 
7.0%
추 285
 
7.0%
홀 285
 
7.0%
광 283
 
6.9%
구 283
 
6.9%
Other values (168) 1206
29.4%
Common
ValueCountFrequency (%)
1316
44.6%
1 339
 
11.5%
- 244
 
8.3%
2 150
 
5.1%
3 137
 
4.6%
4 128
 
4.3%
5 120
 
4.1%
6 105
 
3.6%
7 104
 
3.5%
0 100
 
3.4%
Other values (5) 207
 
7.0%
Latin
ValueCountFrequency (%)
A 3
18.8%
S 2
12.5%
K 2
12.5%
B 2
12.5%
W 1
 
6.2%
E 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%
y 1
 
6.2%
k 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4099
58.0%
ASCII 2966
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1316
44.4%
1 339
 
11.4%
- 244
 
8.2%
2 150
 
5.1%
3 137
 
4.6%
4 128
 
4.3%
5 120
 
4.0%
6 105
 
3.5%
7 104
 
3.5%
0 100
 
3.4%
Other values (16) 223
 
7.5%
Hangul
ValueCountFrequency (%)
동 310
 
7.6%
인 296
 
7.2%
역 289
 
7.1%
미 288
 
7.0%
천 288
 
7.0%
시 286
 
7.0%
추 285
 
7.0%
홀 285
 
7.0%
광 283
 
6.9%
구 283
 
6.9%
Other values (168) 1206
29.4%

소재지전화
Text

MISSING 

Distinct67
Distinct (%)95.7%
Missing213
Missing (%)75.3%
Memory size2.3 KiB
2024-03-23T14:42:21.997769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters845
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

Unique66 ?
Unique (%)94.3%

Sample

1st row032-875-9472
2nd row032-867-8181
3rd row032-866-5105
4th row032-427-4270
5th row032-866-4595
ValueCountFrequency (%)
070-7092-7136 4
 
5.7%
032-446-4301 1
 
1.4%
032-427-9291 1
 
1.4%
032-862-9935 1
 
1.4%
032-873-8943 1
 
1.4%
032-866-1112 1
 
1.4%
032-888-9580 1
 
1.4%
032-881-9113 1
 
1.4%
032-874-2258 1
 
1.4%
032-442-2592 1
 
1.4%
Other values (57) 57
81.4%
2024-03-23T14:42:22.719467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.6%
2 120
14.2%
0 115
13.6%
3 103
12.2%
8 89
10.5%
7 66
7.8%
6 53
 
6.3%
4 51
 
6.0%
1 42
 
5.0%
9 37
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 705
83.4%
Dash Punctuation 140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 120
17.0%
0 115
16.3%
3 103
14.6%
8 89
12.6%
7 66
9.4%
6 53
7.5%
4 51
7.2%
1 42
 
6.0%
9 37
 
5.2%
5 29
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 845
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.6%
2 120
14.2%
0 115
13.6%
3 103
12.2%
8 89
10.5%
7 66
7.8%
6 53
 
6.3%
4 51
 
6.0%
1 42
 
5.0%
9 37
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.6%
2 120
14.2%
0 115
13.6%
3 103
12.2%
8 89
10.5%
7 66
7.8%
6 53
 
6.3%
4 51
 
6.0%
1 42
 
5.0%
9 37
 
4.4%

Interactions

2024-03-23T14:42:14.921810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:42:22.932885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0000.000
소재지전화0.0001.000

Missing values

2024-03-23T14:42:15.137607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:42:15.341358image/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.
2024-03-23T14:42:15.501347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01식품자동판매기영업경기은행석암지점인천광역시 미추홀구 경인로 433 (주안동)인천광역시 미추홀구 주안동 1007-5<NA>
12식품자동판매기영업공원슈퍼자동판매기인천광역시 미추홀구 수봉로 81 (숭의동)인천광역시 미추홀구 숭의동 13-17 7통5반032-875-9472
23식품자동판매기영업신기충전소인천광역시 미추홀구 인하로 277 (주안동)인천광역시 미추홀구 주안동 1462-7032-867-8181
34식품자동판매기영업가나흑염소인천광역시 미추홀구 인하로 272 (주안동)인천광역시 미추홀구 주안동 1315-12032-866-5105
45식품자동판매기영업이건산업내자동판매기인천광역시 미추홀구 송림로307번길 132 (도화동)인천광역시 미추홀구 도화동 825032-427-4270
56식품자동판매기영업황금공인중개사무소<NA>인천광역시 미추홀구 용현동 145-62<NA>
67식품자동판매기영업태화컴퓨터세탁인천광역시 미추홀구 석정로 289 (도화동)인천광역시 미추홀구 도화동 105-14032-866-4595
78식품자동판매기영업윤성슈퍼인천광역시 미추홀구 매소홀로 137, 윤성아파트 (용현동)인천광역시 미추홀구 용현동 627-457 윤성아파트032-887-2786
89식품자동판매기영업코레일유통(주) 제물포역자판기인천광역시 미추홀구 석정로202번길 12-17 (도화동)인천광역시 미추홀구 도화동 87-1070-7092-7136
910식품자동판매기영업국민연금인천지부인천광역시 미추홀구 주안중로 25, 신성쇼핑 (주안동)인천광역시 미추홀구 주안동 169 신성쇼핑<NA>
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
273274식품자동판매기영업카페쉐비인천광역시 미추홀구 염전로397번길 3, 쉐보레북주안 1층 (주안동)인천광역시 미추홀구 주안동 17-5 쉐보레북주안<NA>
274275식품자동판매기영업지에스25 용현해피점인천광역시 미추홀구 수봉남로12번길 68, 1층 일부호 (용현동)인천광역시 미추홀구 용현동 62-14<NA>
275276식품자동판매기영업데이롱 카페 주안역지하상가점인천광역시 미추홀구 주안로 지하 86, 주안역 지하도상가 371호 (주안동)인천광역시 미추홀구 주안동 235 주안역 지하도상가<NA>
276277식품자동판매기영업지에스25 인천스카이점인천광역시 미추홀구 독배로382번길 19, 1층 일부호 (용현동)인천광역시 미추홀구 용현동 342-1<NA>
277278식품자동판매기영업히스토리인천광역시 미추홀구 한나루로358번길 34, 호산아파트 1층 (학익동)인천광역시 미추홀구 학익동 693-1 호산아파트<NA>
278279식품자동판매기영업지에스25 인하대후문점인천광역시 미추홀구 인하로 51, 대원빌라 1층 일부호 (용현동)인천광역시 미추홀구 용현동 199-5 대원빌라<NA>
279280식품자동판매기영업토지금고 커피에 반하다인천광역시 미추홀구 토금중로 48, 1층 좌측호 (용현동)인천광역시 미추홀구 용현동 617-13<NA>
280281식품자동판매기영업에그24시무인카페 시민공원점인천광역시 미추홀구 미추홀대로 660, 1층 일부호 (주안동)인천광역시 미추홀구 주안동 465-17<NA>
281282식품자동판매기영업데이롱 카페 인천숭의점인천광역시 미추홀구 인중로26번길 22-7, 1층 102호 (숭의동)인천광역시 미추홀구 숭의동 435-7<NA>
282283식품자동판매기영업(주)휴림웰니스인천광역시 미추홀구 경원대로780번길 22, 커뮤니티층 일부호 (주안동, 주안캐슬앤더샵에듀포레아파트)인천광역시 미추홀구 주안동 1556-59 주안캐슬앤더샵에듀포레아파트<NA>