Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells11
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory71.0 B

Variable types

Numeric1
Categorical1
Text4
DateTime2

Dataset

Description인천 광역시 서구 관내에 위치한 국외여행업 (업종, 상호명, 등록일자, 소재지(도로,지번), 전화번호) 에 관하여 현행화 데이터파일 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089674&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 11 (50.0%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
등록일자 has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:50:47.000617
Analysis finished2024-03-18 04:50:49.290120
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T13:50:49.352112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-18T13:50:49.450726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
국내외여행업
22 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 22
100.0%

Length

2024-03-18T13:50:49.558808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:50:49.638355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 22
100.0%

상호명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T13:50:49.767023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.6363636
Min length3

Characters and Unicode

Total characters146
Distinct characters71
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row삼화관광(합자)
2nd row(주)메이트항공 여행사
3rd row굿모닝여행사
4th row(주)신화이앤씨
5th row(주)새론여행사
ValueCountFrequency (%)
투어 2
 
6.9%
삼화관광(합자 1
 
3.4%
주)메이트항공 1
 
3.4%
사회적협동조합 1
 
3.4%
파이투어 1
 
3.4%
에어 1
 
3.4%
프렌드 1
 
3.4%
주)더베스트투어 1
 
3.4%
h 1
 
3.4%
tour 1
 
3.4%
Other values (18) 18
62.1%
2024-03-18T13:50:50.014140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 11
 
7.5%
투 10
 
6.8%
( 8
 
5.5%
) 8
 
5.5%
7
 
4.8%
여 7
 
4.8%
주 7
 
4.8%
사 7
 
4.8%
행 7
 
4.8%
스 3
 
2.1%
Other values (61) 71
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
79.5%
Open Punctuation 8
 
5.5%
Close Punctuation 8
 
5.5%
Space Separator 7
 
4.8%
Uppercase Letter 7
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 11
 
9.5%
투 10
 
8.6%
여 7
 
6.0%
주 7
 
6.0%
사 7
 
6.0%
행 7
 
6.0%
스 3
 
2.6%
이 3
 
2.6%
라 3
 
2.6%
화 2
 
1.7%
Other values (51) 56
48.3%
Uppercase Letter
ValueCountFrequency (%)
U 1
14.3%
G 1
14.3%
D 1
14.3%
T 1
14.3%
O 1
14.3%
R 1
14.3%
H 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
79.5%
Common 23
 
15.8%
Latin 7
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 11
 
9.5%
투 10
 
8.6%
여 7
 
6.0%
주 7
 
6.0%
사 7
 
6.0%
행 7
 
6.0%
스 3
 
2.6%
이 3
 
2.6%
라 3
 
2.6%
화 2
 
1.7%
Other values (51) 56
48.3%
Latin
ValueCountFrequency (%)
U 1
14.3%
G 1
14.3%
D 1
14.3%
T 1
14.3%
O 1
14.3%
R 1
14.3%
H 1
14.3%
Common
ValueCountFrequency (%)
( 8
34.8%
) 8
34.8%
7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
79.5%
ASCII 30
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 11
 
9.5%
투 10
 
8.6%
여 7
 
6.0%
주 7
 
6.0%
사 7
 
6.0%
행 7
 
6.0%
스 3
 
2.6%
이 3
 
2.6%
라 3
 
2.6%
화 2
 
1.7%
Other values (51) 56
48.3%
ASCII
ValueCountFrequency (%)
( 8
26.7%
) 8
26.7%
7
23.3%
U 1
 
3.3%
G 1
 
3.3%
D 1
 
3.3%
T 1
 
3.3%
O 1
 
3.3%
R 1
 
3.3%
H 1
 
3.3%

등록일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2000-07-24 00:00:00
Maximum2022-08-02 00:00:00
2024-03-18T13:50:50.106820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:50:50.196178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

소재지(도로명)
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T13:50:50.374103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length25.045455
Min length19

Characters and Unicode

Total characters551
Distinct characters80
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row인천광역시 서구 마전동 911-8
2nd row인천광역시 서구 가좌동 81-61 범양아파트
3rd row인천광역시 서구 석남동 450 1층
4th row인천광역시 서구 원당동 825-15 아침愛캐슬
5th row인천광역시 서구 가좌동 114-62 창대빌딩 1층
ValueCountFrequency (%)
인천광역시 22
19.1%
서구 22
19.1%
가좌동 6
 
5.2%
원당동 4
 
3.5%
심곡동 3
 
2.6%
석남동 3
 
2.6%
마전동 3
 
2.6%
242-7 2
 
1.7%
1층 2
 
1.7%
제스트빌 2
 
1.7%
Other values (46) 46
40.0%
2024-03-18T13:50:50.748599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
20.3%
1 25
 
4.5%
인 23
 
4.2%
시 23
 
4.2%
천 23
 
4.2%
동 23
 
4.2%
광 22
 
4.0%
역 22
 
4.0%
서 22
 
4.0%
구 22
 
4.0%
Other values (70) 234
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
56.3%
Space Separator 112
 
20.3%
Decimal Number 109
 
19.8%
Dash Punctuation 19
 
3.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 23
 
7.4%
시 23
 
7.4%
천 23
 
7.4%
동 23
 
7.4%
광 22
 
7.1%
역 22
 
7.1%
서 22
 
7.1%
구 22
 
7.1%
트 8
 
2.6%
가 8
 
2.6%
Other values (57) 114
36.8%
Decimal Number
ValueCountFrequency (%)
1 25
22.9%
2 14
12.8%
4 12
11.0%
3 11
10.1%
0 11
10.1%
8 10
 
9.2%
5 10
 
9.2%
6 8
 
7.3%
9 4
 
3.7%
7 4
 
3.7%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
56.1%
Common 240
43.6%
Latin 1
 
0.2%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 23
 
7.4%
시 23
 
7.4%
천 23
 
7.4%
동 23
 
7.4%
광 22
 
7.1%
역 22
 
7.1%
서 22
 
7.1%
구 22
 
7.1%
트 8
 
2.6%
가 8
 
2.6%
Other values (56) 113
36.6%
Common
ValueCountFrequency (%)
112
46.7%
1 25
 
10.4%
- 19
 
7.9%
2 14
 
5.8%
4 12
 
5.0%
3 11
 
4.6%
0 11
 
4.6%
8 10
 
4.2%
5 10
 
4.2%
6 8
 
3.3%
Other values (2) 8
 
3.3%
Latin
ValueCountFrequency (%)
e 1
100.0%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
56.1%
ASCII 241
43.7%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
46.5%
1 25
 
10.4%
- 19
 
7.9%
2 14
 
5.8%
4 12
 
5.0%
3 11
 
4.6%
0 11
 
4.6%
8 10
 
4.1%
5 10
 
4.1%
6 8
 
3.3%
Other values (3) 9
 
3.7%
Hangul
ValueCountFrequency (%)
인 23
 
7.4%
시 23
 
7.4%
천 23
 
7.4%
동 23
 
7.4%
광 22
 
7.1%
역 22
 
7.1%
서 22
 
7.1%
구 22
 
7.1%
트 8
 
2.6%
가 8
 
2.6%
Other values (56) 113
36.6%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(지번)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T13:50:50.964638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length33.727273
Min length24

Characters and Unicode

Total characters742
Distinct characters99
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

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 검단로487번길 3 (마전동)
2nd row인천광역시 서구 건지로 411, 범양아파트 상가동 2층 8-3호 (가좌동)
3rd row인천광역시 서구 율도로 80 (석남동,1층)
4th row인천광역시 서구 고산후로121번안길 22, 510호 (원당동)
5th row인천광역시 서구 가정로 142 (가좌동,창대빌딩 1층)
ValueCountFrequency (%)
인천광역시 22
 
14.7%
서구 22
 
14.7%
가좌동 5
 
3.3%
원당동 4
 
2.7%
승학로 4
 
2.7%
마전동 3
 
2.0%
심곡동 3
 
2.0%
2층 3
 
2.0%
고산후로121번안길 2
 
1.3%
석남동 2
 
1.3%
Other values (74) 80
53.3%
2024-03-18T13:50:51.337991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
17.3%
, 26
 
3.5%
동 26
 
3.5%
서 23
 
3.1%
1 23
 
3.1%
천 23
 
3.1%
인 23
 
3.1%
시 23
 
3.1%
구 22
 
3.0%
( 22
 
3.0%
Other values (89) 403
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
55.4%
Decimal Number 130
 
17.5%
Space Separator 128
 
17.3%
Other Punctuation 26
 
3.5%
Open Punctuation 22
 
3.0%
Close Punctuation 22
 
3.0%
Dash Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
6.3%
서 23
 
5.6%
천 23
 
5.6%
인 23
 
5.6%
시 23
 
5.6%
구 22
 
5.4%
로 22
 
5.4%
역 22
 
5.4%
광 22
 
5.4%
호 14
 
3.4%
Other values (73) 191
46.5%
Decimal Number
ValueCountFrequency (%)
1 23
17.7%
2 22
16.9%
4 18
13.8%
0 18
13.8%
3 14
10.8%
5 10
7.7%
8 10
7.7%
7 7
 
5.4%
6 5
 
3.8%
9 3
 
2.3%
Space Separator
ValueCountFrequency (%)
128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
55.4%
Common 330
44.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
6.3%
서 23
 
5.6%
천 23
 
5.6%
인 23
 
5.6%
시 23
 
5.6%
구 22
 
5.4%
로 22
 
5.4%
역 22
 
5.4%
광 22
 
5.4%
호 14
 
3.4%
Other values (73) 191
46.5%
Common
ValueCountFrequency (%)
128
38.8%
, 26
 
7.9%
1 23
 
7.0%
( 22
 
6.7%
) 22
 
6.7%
2 22
 
6.7%
4 18
 
5.5%
0 18
 
5.5%
3 14
 
4.2%
5 10
 
3.0%
Other values (5) 27
 
8.2%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
55.4%
ASCII 331
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
38.7%
, 26
 
7.9%
1 23
 
6.9%
( 22
 
6.6%
) 22
 
6.6%
2 22
 
6.6%
4 18
 
5.4%
0 18
 
5.4%
3 14
 
4.2%
5 10
 
3.0%
Other values (6) 28
 
8.5%
Hangul
ValueCountFrequency (%)
동 26
 
6.3%
서 23
 
5.6%
천 23
 
5.6%
인 23
 
5.6%
시 23
 
5.6%
구 22
 
5.4%
로 22
 
5.4%
역 22
 
5.4%
광 22
 
5.4%
호 14
 
3.4%
Other values (73) 191
46.5%

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing11
Missing (%)50.0%
Memory size308.0 B
2024-03-18T13:50:51.542447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters132
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

Unique11 ?
Unique (%)100.0%

Sample

1st row032-565-6666
2nd row032-202-7171
3rd row032-554-0662
4th row032-582-0020
5th row032-569-2341
ValueCountFrequency (%)
032-565-6666 1
9.1%
032-202-7171 1
9.1%
032-554-0662 1
9.1%
032-582-0020 1
9.1%
032-569-2341 1
9.1%
032-205-1355 1
9.1%
032-875-7997 1
9.1%
032-566-0724 1
9.1%
032-777-0555 1
9.1%
02-6092-7275 1
9.1%
2024-03-18T13:50:51.793521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 22
16.7%
2 21
15.9%
0 20
15.2%
5 16
12.1%
7 14
10.6%
3 12
9.1%
6 11
8.3%
9 6
 
4.5%
1 5
 
3.8%
4 3
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
83.3%
Dash Punctuation 22
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21
19.1%
0 20
18.2%
5 16
14.5%
7 14
12.7%
3 12
10.9%
6 11
10.0%
9 6
 
5.5%
1 5
 
4.5%
4 3
 
2.7%
8 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 22
16.7%
2 21
15.9%
0 20
15.2%
5 16
12.1%
7 14
10.6%
3 12
9.1%
6 11
8.3%
9 6
 
4.5%
1 5
 
3.8%
4 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 22
16.7%
2 21
15.9%
0 20
15.2%
5 16
12.1%
7 14
10.6%
3 12
9.1%
6 11
8.3%
9 6
 
4.5%
1 5
 
3.8%
4 3
 
2.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-03-18T13:50:51.879680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:50:51.945761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T13:50:48.945984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:50:52.001436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명등록일자소재지(도로명)소재지(지번)전화번호
연번1.0001.0001.0000.9021.0001.000
상호명1.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0001.000
소재지(도로명)0.9021.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2024-03-18T13:50:49.101990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:50:49.224341image/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

연번업종상호명등록일자소재지(도로명)소재지(지번)전화번호데이터기준일자
01국내외여행업삼화관광(합자)2000-07-24인천광역시 서구 마전동 911-8인천광역시 서구 검단로487번길 3 (마전동)032-565-66662022-08-31
12국내외여행업(주)메이트항공 여행사2008-04-01인천광역시 서구 가좌동 81-61 범양아파트인천광역시 서구 건지로 411, 범양아파트 상가동 2층 8-3호 (가좌동)032-202-71712022-08-31
23국내외여행업굿모닝여행사2004-04-09인천광역시 서구 석남동 450 1층인천광역시 서구 율도로 80 (석남동,1층)<NA>2022-08-31
34국내외여행업(주)신화이앤씨2010-05-03인천광역시 서구 원당동 825-15 아침愛캐슬인천광역시 서구 고산후로121번안길 22, 510호 (원당동)032-554-06622022-08-31
45국내외여행업(주)새론여행사2011-07-05인천광역시 서구 가좌동 114-62 창대빌딩 1층인천광역시 서구 가정로 142 (가좌동,창대빌딩 1층)032-582-00202022-08-31
56국내외여행업클로버여행사2009-03-12인천광역시 서구 가좌동 613 인천가좌 두산위브 트레지움인천광역시 서구 여우재로 119, 202동 303호 (가좌동, 인천가좌 두산위브 트레지움)<NA>2022-08-31
67국내외여행업정투어2012-03-20인천광역시 서구 당하동 1065-1 당하 이마트인천광역시 서구 서곶로 754, 이마트 검단점 3층 (당하동)<NA>2022-08-31
78국내외여행업(주)센스투어닷컴2001-08-08인천광역시 서구 마전동 983-7 보현빌딩인천광역시 서구 검단로 516, 507호 (마전동)032-569-23412022-08-31
89국내외여행업라라투어2012-10-08인천광역시 서구 가좌동 308 외 1필지 주공아파트상가 104호인천광역시 서구 장고개로 336, 104호 (가좌동, 주공아파트상가)032-205-13552022-08-31
910국내외여행업여행가는날2014-09-23인천광역시 서구 가좌동 539-6 2층인천광역시 서구 가재울로 64, 2층 (가좌동)032-875-79972022-08-31
연번업종상호명등록일자소재지(도로명)소재지(지번)전화번호데이터기준일자
1213국내외여행업로하스투어2017-08-03인천광역시 서구 검암동 600-4 4층인천광역시 서구 승학로 479, 4층 (검암동)<NA>2022-08-31
1314국내외여행업(주)한빛여행사2002-09-17인천광역시 서구 심곡동 334-13 신안주택 12동 102호인천광역시 서구 승학로 237-12, 12동 102호 (심곡동, 신안주택)032-777-05552022-08-31
1415국내외여행업탁사모 골프투어2018-06-05인천광역시 서구 심곡동 242-7 제스트빌인천광역시 서구 승학로 244, 제스트빌 303호 (심곡동)<NA>2022-08-31
1516국내외여행업경인 투어2018-09-05인천광역시 서구 석남동 514-2인천광역시 서구 길주로75번길 26, 지하1층 (석남동)<NA>2022-08-31
1617국내외여행업GD TOUR2018-09-19인천광역시 서구 심곡동 242-7 제스트빌인천광역시 서구 승학로 244, 409호 (심곡동)<NA>2022-08-31
1718국내외여행업H 투어2019-03-13인천광역시 서구 마전동 1060-3인천광역시 서구 원당대로685번5길 20, 402호 (마전동)<NA>2022-08-31
1819국내외여행업(주)더베스트투어2012-08-16인천광역시 서구 원당동 852-1 원당e편한세상아파트인천광역시 서구 고산로40번길 12, 105동 805호 (원당동, 원당e편한세상아파트)<NA>2022-08-31
1920국내외여행업프렌드 에어2013-07-24인천광역시 서구 원창동 381-75 시그마프라임빌딩인천광역시 서구 북항로 30, 시그마프라임빌딩 408호 (원창동)02-6092-72752022-08-31
2021국내외여행업파이투어2021-07-05인천광역시 서구 가좌동 539-1인천광역시 서구 가재울로 72, 2층 (가좌동)032-715-79792022-08-31
2122국내외여행업사회적협동조합 상도2022-08-02인천광역시 서구 석남동 480-24인천광역시 서구 가정로 288, 3층 그린나래호 (석남동)<NA>2022-08-31