Overview

Dataset statistics

Number of variables7
Number of observations53
Missing cells3
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory62.5 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description인천광역시 서구의 물류창고업에 관한 데이터입니다. 연번, 업체명, 소재지, 일반창고면적, 냉동냉장창고면적, 보관장소면적, 전화번호 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105194&srcSe=7661IVAWM27C61E190

Alerts

보관장소면적 is highly imbalanced (83.0%)Imbalance
전화번호 has 3 (5.7%) missing valuesMissing
연번 has unique valuesUnique
일반창고면적 has 5 (9.4%) zerosZeros
냉동냉장창고면적 has 46 (86.8%) zerosZeros

Reproduction

Analysis started2024-01-28 10:47:28.943197
Analysis finished2024-01-28 10:47:30.214566
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-01-28T19:47:30.270361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-01-28T19:47:30.381341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

업체명
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-01-28T19:47:30.559157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length10.716981
Min length4

Characters and Unicode

Total characters568
Distinct characters144
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st row볼로레로지스틱스코리아(주)케이허브
2nd row(주)비지에프로지스 검단센터
3rd row패스트박스(주)_송림센터
4th row패스트박스(주)_가재울센터
5th row에이치2인천북항물류 주식회사
ValueCountFrequency (%)
주식회사 19
24.7%
엘엑스판토스 2
 
2.6%
위킵 2
 
2.6%
디와이물류 1
 
1.3%
합동물류(주 1
 
1.3%
logis 1
 
1.3%
주)비티엑스코리아 1
 
1.3%
볼로레로지스틱스코리아(주)케이허브 1
 
1.3%
엔와이국제물류주식회사 1
 
1.3%
대신정기화물자동차 1
 
1.3%
Other values (47) 47
61.0%
2024-01-28T19:47:30.862256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
8.5%
스 31
 
5.5%
) 28
 
4.9%
( 28
 
4.9%
24
 
4.2%
사 22
 
3.9%
회 21
 
3.7%
식 20
 
3.5%
물 15
 
2.6%
류 14
 
2.5%
Other values (134) 317
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
83.8%
Close Punctuation 28
 
4.9%
Open Punctuation 28
 
4.9%
Space Separator 24
 
4.2%
Lowercase Letter 7
 
1.2%
Decimal Number 3
 
0.5%
Connector Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
10.1%
스 31
 
6.5%
사 22
 
4.6%
회 21
 
4.4%
식 20
 
4.2%
물 15
 
3.2%
류 14
 
2.9%
지 13
 
2.7%
이 11
 
2.3%
터 10
 
2.1%
Other values (121) 271
56.9%
Lowercase Letter
ValueCountFrequency (%)
i 1
14.3%
l 1
14.3%
g 1
14.3%
o 1
14.3%
m 1
14.3%
y 1
14.3%
s 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
3 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
83.8%
Common 85
 
15.0%
Latin 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
10.1%
스 31
 
6.5%
사 22
 
4.6%
회 21
 
4.4%
식 20
 
4.2%
물 15
 
3.2%
류 14
 
2.9%
지 13
 
2.7%
이 11
 
2.3%
터 10
 
2.1%
Other values (121) 271
56.9%
Latin
ValueCountFrequency (%)
i 1
14.3%
l 1
14.3%
g 1
14.3%
o 1
14.3%
m 1
14.3%
y 1
14.3%
s 1
14.3%
Common
ValueCountFrequency (%)
) 28
32.9%
( 28
32.9%
24
28.2%
2 2
 
2.4%
_ 2
 
2.4%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
83.8%
ASCII 92
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
10.1%
스 31
 
6.5%
사 22
 
4.6%
회 21
 
4.4%
식 20
 
4.2%
물 15
 
3.2%
류 14
 
2.9%
지 13
 
2.7%
이 11
 
2.3%
터 10
 
2.1%
Other values (121) 271
56.9%
ASCII
ValueCountFrequency (%)
) 28
30.4%
( 28
30.4%
24
26.1%
2 2
 
2.2%
_ 2
 
2.2%
i 1
 
1.1%
l 1
 
1.1%
g 1
 
1.1%
o 1
 
1.1%
m 1
 
1.1%
Other values (3) 3
 
3.3%

소재지
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-01-28T19:47:31.065207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length27.603774
Min length18

Characters and Unicode

Total characters1463
Distinct characters136
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)96.2%

Sample

1st row인천광역시 서구 드림로 700, 켄달스퀘어검단로지스틱스파크 7층 (당하동)
2nd row인천광역시 서구 당하동 457-1
3rd row인천광역시 서구 봉수대로 151(가좌동)
4th row인천광역시 서구 열우물로 243, 패스트박스 인천 가재울센터 (가좌동)
5th row인천광역시 서구 북항로 285(원창동)
ValueCountFrequency (%)
인천광역시 53
18.0%
서구 53
18.0%
오류동 21
 
7.1%
원창동 11
 
3.7%
가좌동 7
 
2.4%
3층 5
 
1.7%
20 5
 
1.7%
갑문1로 5
 
1.7%
갑문3로 4
 
1.4%
북항로 4
 
1.4%
Other values (107) 126
42.9%
2024-01-28T19:47:31.351111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
16.5%
서 60
 
4.1%
인 58
 
4.0%
동 58
 
4.0%
( 57
 
3.9%
) 57
 
3.9%
천 56
 
3.8%
광 53
 
3.6%
역 53
 
3.6%
시 53
 
3.6%
Other values (126) 716
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
60.8%
Space Separator 242
 
16.5%
Decimal Number 190
 
13.0%
Open Punctuation 58
 
4.0%
Close Punctuation 58
 
4.0%
Other Punctuation 21
 
1.4%
Dash Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 60
 
6.7%
인 58
 
6.5%
동 58
 
6.5%
천 56
 
6.3%
광 53
 
6.0%
역 53
 
6.0%
시 53
 
6.0%
구 53
 
6.0%
로 53
 
6.0%
류 26
 
2.9%
Other values (108) 367
41.2%
Decimal Number
ValueCountFrequency (%)
1 34
17.9%
2 32
16.8%
3 30
15.8%
0 19
10.0%
4 18
9.5%
7 16
8.4%
5 16
8.4%
9 9
 
4.7%
6 8
 
4.2%
8 8
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 57
98.3%
[ 1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 57
98.3%
] 1
 
1.7%
Space Separator
ValueCountFrequency (%)
242
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
60.8%
Common 572
39.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 60
 
6.7%
인 58
 
6.5%
동 58
 
6.5%
천 56
 
6.3%
광 53
 
6.0%
역 53
 
6.0%
시 53
 
6.0%
구 53
 
6.0%
로 53
 
6.0%
류 26
 
2.9%
Other values (108) 367
41.2%
Common
ValueCountFrequency (%)
242
42.3%
( 57
 
10.0%
) 57
 
10.0%
1 34
 
5.9%
2 32
 
5.6%
3 30
 
5.2%
, 21
 
3.7%
0 19
 
3.3%
4 18
 
3.1%
7 16
 
2.8%
Other values (7) 46
 
8.0%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
60.8%
ASCII 573
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
42.2%
( 57
 
9.9%
) 57
 
9.9%
1 34
 
5.9%
2 32
 
5.6%
3 30
 
5.2%
, 21
 
3.7%
0 19
 
3.3%
4 18
 
3.1%
7 16
 
2.8%
Other values (8) 47
 
8.2%
Hangul
ValueCountFrequency (%)
서 60
 
6.7%
인 58
 
6.5%
동 58
 
6.5%
천 56
 
6.3%
광 53
 
6.0%
역 53
 
6.0%
시 53
 
6.0%
구 53
 
6.0%
로 53
 
6.0%
류 26
 
2.9%
Other values (108) 367
41.2%

일반창고면적
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7206.9682
Minimum0
Maximum66313.82
Zeros5
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-01-28T19:47:31.457177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12380.36
median4211.67
Q37638.9
95-th percentile18646.91
Maximum66313.82
Range66313.82
Interquartile range (IQR)5258.54

Descriptive statistics

Standard deviation10450.204
Coefficient of variation (CV)1.4500138
Kurtosis20.610531
Mean7206.9682
Median Absolute Deviation (MAD)2410.45
Skewness4.1266876
Sum381969.32
Variance1.0920675 × 108
MonotonicityNot monotonic
2024-01-28T19:47:31.561442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 5
 
9.4%
9550.0 1
 
1.9%
4491.2 1
 
1.9%
4642.03 1
 
1.9%
3174.52 1
 
1.9%
2380.36 1
 
1.9%
1556.0 1
 
1.9%
2673.1 1
 
1.9%
6576.14 1
 
1.9%
3179.61 1
 
1.9%
Other values (39) 39
73.6%
ValueCountFrequency (%)
0.0 5
9.4%
1388.0 1
 
1.9%
1536.17 1
 
1.9%
1556.0 1
 
1.9%
1676.0 1
 
1.9%
1801.22 1
 
1.9%
1825.45 1
 
1.9%
2157.14 1
 
1.9%
2320.86 1
 
1.9%
2380.36 1
 
1.9%
ValueCountFrequency (%)
66313.82 1
1.9%
37682.7 1
1.9%
20020.76 1
1.9%
17731.01 1
1.9%
17355.37 1
1.9%
13874.29 1
1.9%
13035.6 1
1.9%
11872.41 1
1.9%
11149.71 1
1.9%
9550.0 1
1.9%

냉동냉장창고면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1899.4086
Minimum0
Maximum28005.003
Zeros46
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-01-28T19:47:31.642394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17709.364
Maximum28005.003
Range28005.003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6570.6562
Coefficient of variation (CV)3.4593169
Kurtosis12.111962
Mean1899.4086
Median Absolute Deviation (MAD)0
Skewness3.6321778
Sum100668.65
Variance43173523
MonotonicityNot monotonic
2024-01-28T19:47:31.713610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 46
86.8%
3786.0 1
 
1.9%
27091.27 1
 
1.9%
27720.89 1
 
1.9%
28005.0033 1
 
1.9%
750.41 1
 
1.9%
11454.76 1
 
1.9%
1860.32 1
 
1.9%
ValueCountFrequency (%)
0.0 46
86.8%
750.41 1
 
1.9%
1860.32 1
 
1.9%
3786.0 1
 
1.9%
11454.76 1
 
1.9%
27091.27 1
 
1.9%
27720.89 1
 
1.9%
28005.0033 1
 
1.9%
ValueCountFrequency (%)
28005.0033 1
 
1.9%
27720.89 1
 
1.9%
27091.27 1
 
1.9%
11454.76 1
 
1.9%
3786.0 1
 
1.9%
1860.32 1
 
1.9%
750.41 1
 
1.9%
0.0 46
86.8%

보관장소면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
0.0
51 
2099.18
 
1
6164.52
 
1

Length

Max length7
Median length3
Mean length3.1509434
Min length3

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 51
96.2%
2099.18 1
 
1.9%
6164.52 1
 
1.9%

Length

2024-01-28T19:47:31.809966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:47:31.890767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 51
96.2%
2099.18 1
 
1.9%
6164.52 1
 
1.9%

전화번호
Text

MISSING 

Distinct45
Distinct (%)90.0%
Missing3
Missing (%)5.7%
Memory size556.0 B
2024-01-28T19:47:32.047858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.18
Min length11

Characters and Unicode

Total characters609
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

Unique41 ?
Unique (%)82.0%

Sample

1st row032-721-2900
2nd row031-895-4840
3rd row070-5057-0200
4th row070-5057-0200
5th row02-6925-0490
ValueCountFrequency (%)
032-886-3003 3
 
6.0%
02-6925-0490 2
 
4.0%
031-910-1730 2
 
4.0%
070-5057-0200 2
 
4.0%
032-571-5016 1
 
2.0%
031-865-9966 1
 
2.0%
032-721-2900 1
 
2.0%
02-6011-3064 1
 
2.0%
070-4313-5481 1
 
2.0%
070-4048-1397 1
 
2.0%
Other values (35) 35
70.0%
2024-01-28T19:47:32.340666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
18.6%
- 100
16.4%
2 62
10.2%
3 59
9.7%
1 47
7.7%
5 45
 
7.4%
6 43
 
7.1%
8 42
 
6.9%
7 37
 
6.1%
9 32
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 509
83.6%
Dash Punctuation 100
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
22.2%
2 62
12.2%
3 59
11.6%
1 47
9.2%
5 45
 
8.8%
6 43
 
8.4%
8 42
 
8.3%
7 37
 
7.3%
9 32
 
6.3%
4 29
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
18.6%
- 100
16.4%
2 62
10.2%
3 59
9.7%
1 47
7.7%
5 45
 
7.4%
6 43
 
7.1%
8 42
 
6.9%
7 37
 
6.1%
9 32
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
18.6%
- 100
16.4%
2 62
10.2%
3 59
9.7%
1 47
7.7%
5 45
 
7.4%
6 43
 
7.1%
8 42
 
6.9%
7 37
 
6.1%
9 32
 
5.3%

Interactions

2024-01-28T19:47:29.678445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.313500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.492851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.737071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.373197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.555013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.801458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.435068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:47:29.617413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:47:32.420441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지일반창고면적냉동냉장창고면적보관장소면적전화번호
연번1.0000.8341.0000.0890.2960.2430.971
업체명0.8341.0000.9900.7081.0001.0000.960
소재지1.0000.9901.0001.0001.0001.0001.000
일반창고면적0.0890.7081.0001.0000.2520.0000.597
냉동냉장창고면적0.2961.0001.0000.2521.0000.0001.000
보관장소면적0.2431.0001.0000.0000.0001.0000.000
전화번호0.9710.9601.0000.5971.0000.0001.000
2024-01-28T19:47:32.503678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일반창고면적냉동냉장창고면적보관장소면적
연번1.000-0.142-0.2450.126
일반창고면적-0.1421.000-0.2010.000
냉동냉장창고면적-0.245-0.2011.0000.000
보관장소면적0.1260.0000.0001.000

Missing values

2024-01-28T19:47:30.098674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:47:30.181175image/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

연번업체명소재지일반창고면적냉동냉장창고면적보관장소면적전화번호
01볼로레로지스틱스코리아(주)케이허브인천광역시 서구 드림로 700, 켄달스퀘어검단로지스틱스파크 7층 (당하동)9550.00.00.0032-721-2900
12(주)비지에프로지스 검단센터인천광역시 서구 당하동 457-113874.293786.00.0031-895-4840
23패스트박스(주)_송림센터인천광역시 서구 봉수대로 151(가좌동)37682.70.00.0070-5057-0200
34패스트박스(주)_가재울센터인천광역시 서구 열우물로 243, 패스트박스 인천 가재울센터 (가좌동)7078.50.00.0070-5057-0200
45에이치2인천북항물류 주식회사인천광역시 서구 북항로 285(원창동)0.027091.270.002-6925-0490
56에이치인천북항물류 주식회사인천광역시 서구 북항로 277(원창동)0.027720.890.002-6925-0490
67주식회사 테일코리아인천광역시 서구 북항로207번길 55, 주식회사 테일코리아 1동 (원창동)1801.220.00.0<NA>
78(주)귀뚜라미홈시스인천광역시 서구 백범로603번길 40, (주)귀뚜라미가스보일러 (가좌동)6582.00.00.002-2600-9222
89(주)데코뷰인천광역시 서구 정서진로 47, 에이피로지스틱스 3층 (오류동)7390.00.00.0070-4896-3156
910쿠팡로지스틱스서비스 유한회사인천광역시 서구 중봉대로393번길 19(원창동)8291.50.00.002-6150-8309
연번업체명소재지일반창고면적냉동냉장창고면적보관장소면적전화번호
4344(주)선진오토텍인천광역시 서구 경인항대로 7 (오류동, (주)선진오토텍)2320.860.00.0032-573-9122
4445은산해운항공(주) 경인터미널2인천광역시 서구 갑문3로 26 (오류동)13035.60.00.0032-865-9967
4546삼영물류(주)인천광역시 서구 건지로 100 (가좌동)6532.180.06164.52032-886-3003
4647은산해운항공(주)경인터미널인천광역시 서구 갑문1로 10 (오류동)7638.90.00.0031-441-9966
4748은산컨테이너터미널(주)경인지점인천광역시 서구 갑문로 33 (오류동)11872.410.00.0031-865-9966
4849합동물류(주)인천광역시 서구 길무로 202 (오류동)1825.450.00.0031-910-1730
4950주식회사 디와이물류인천광역시 서구 백범로910번길 23(가좌동)1676.00.00.0032-582-7004
5051(주)비티엑스코리아인천광역시 서구 백범로698번길 16 (가좌동)3804.00.00.0032-710-4482
5152ym logis인천광역시 서구 북항로363번길 27 (원창동)4256.00.00.0<NA>
5253경동물류(주)인천광역시 서구 길무로 202 (오류동)3651.450.00.0031-910-1730