Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells16
Missing cells (%)12.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory55.3 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description인천광역시 중구 소재 비디오물제작업소에 관한 정보입니다.파일명 인천광역시 중구 비디오물제작업소내용 업소명, 주소, 전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038643&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 has 1 (4.8%) missing valuesMissing
상호 has 1 (4.8%) missing valuesMissing
영업소도로명소재지 has 2 (9.5%) missing valuesMissing
영업소지번소재지 has 1 (4.8%) missing valuesMissing
영업소전화번호 has 10 (47.6%) missing valuesMissing
데이터기준일 has 1 (4.8%) missing valuesMissing

Reproduction

Analysis started2024-01-28 12:42:10.136690
Analysis finished2024-01-28 12:42:10.762372
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean10.5
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:42:10.812635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q15.75
median10.5
Q315.25
95-th percentile19.05
Maximum20
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.9160798
Coefficient of variation (CV)0.56343617
Kurtosis-1.2
Mean10.5
Median Absolute Deviation (MAD)5
Skewness0
Sum210
Variance35
MonotonicityStrictly increasing
2024-01-28T21:42:10.908388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 1
 
4.8%
12 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
13 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%
11 1
4.8%

상호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-01-28T21:42:11.086431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.1
Min length3

Characters and Unicode

Total characters142
Distinct characters73
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

Unique14 ?
Unique (%)70.0%

Sample

1st row(주)투바엔터테인먼트
2nd row파도TV
3rd row(주)사람과사람
4th row현대영상
5th row(주)소프트라인
ValueCountFrequency (%)
주)사람과사람 2
 
7.1%
베라 2
 
7.1%
주)소프트라인 2
 
7.1%
주식회사 2
 
7.1%
스튜디오 2
 
7.1%
이지에스 1
 
3.6%
성신씨앤피 1
 
3.6%
헤리슨포드 1
 
3.6%
park 1
 
3.6%
kahuna 1
 
3.6%
Other values (13) 13
46.4%
2024-01-28T21:42:11.356702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.6%
사 8
 
5.6%
주 8
 
5.6%
( 6
 
4.2%
) 6
 
4.2%
람 5
 
3.5%
스 5
 
3.5%
라 4
 
2.8%
트 4
 
2.8%
인 4
 
2.8%
Other values (63) 84
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
77.5%
Uppercase Letter 12
 
8.5%
Space Separator 8
 
5.6%
Open Punctuation 6
 
4.2%
Close Punctuation 6
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 8
 
7.3%
주 8
 
7.3%
람 5
 
4.5%
스 5
 
4.5%
라 4
 
3.6%
트 4
 
3.6%
인 4
 
3.6%
디 3
 
2.7%
오 3
 
2.7%
소 3
 
2.7%
Other values (51) 63
57.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
K 2
16.7%
R 1
 
8.3%
H 1
 
8.3%
U 1
 
8.3%
N 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
V 1
 
8.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
77.5%
Common 20
 
14.1%
Latin 12
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 8
 
7.3%
주 8
 
7.3%
람 5
 
4.5%
스 5
 
4.5%
라 4
 
3.6%
트 4
 
3.6%
인 4
 
3.6%
디 3
 
2.7%
오 3
 
2.7%
소 3
 
2.7%
Other values (51) 63
57.3%
Latin
ValueCountFrequency (%)
A 3
25.0%
K 2
16.7%
R 1
 
8.3%
H 1
 
8.3%
U 1
 
8.3%
N 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
V 1
 
8.3%
Common
ValueCountFrequency (%)
8
40.0%
( 6
30.0%
) 6
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
77.5%
ASCII 32
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
25.0%
( 6
18.8%
) 6
18.8%
A 3
 
9.4%
K 2
 
6.2%
R 1
 
3.1%
H 1
 
3.1%
U 1
 
3.1%
N 1
 
3.1%
P 1
 
3.1%
Other values (2) 2
 
6.2%
Hangul
ValueCountFrequency (%)
사 8
 
7.3%
주 8
 
7.3%
람 5
 
4.5%
스 5
 
4.5%
라 4
 
3.6%
트 4
 
3.6%
인 4
 
3.6%
디 3
 
2.7%
오 3
 
2.7%
소 3
 
2.7%
Other values (51) 63
57.3%

영업소도로명소재지
Text

MISSING 

Distinct16
Distinct (%)84.2%
Missing2
Missing (%)9.5%
Memory size300.0 B
2024-01-28T21:42:11.562953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length33.947368
Min length25

Characters and Unicode

Total characters645
Distinct characters95
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

Unique13 ?
Unique (%)68.4%

Sample

1st row인천광역시 중구 참외전로158번길 6-1, 3층 (경동)
2nd row인천광역시 중구 도원로8번길 5, 2층 (선화동)
3rd row인천광역시 중구 서해대로 366, 612호 (신흥동3가,정석빌딩)
4th row인천광역시 중구 제물량로 35 (신흥동3가,2층)
5th row인천광역시 중구 영종대로 124 (운서동,한스빌딩 7층)
ValueCountFrequency (%)
인천광역시 19
 
15.8%
중구 19
 
15.8%
제물량로 4
 
3.3%
신흥동3가,정석빌딩 2
 
1.7%
중산동 2
 
1.7%
3층 2
 
1.7%
운서동,한스빌딩 2
 
1.7%
124 2
 
1.7%
영종대로 2
 
1.7%
7층 2
 
1.7%
Other values (56) 64
53.3%
2024-01-28T21:42:11.901477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
16.4%
1 29
 
4.5%
, 23
 
3.6%
동 22
 
3.4%
중 22
 
3.4%
인 22
 
3.4%
시 21
 
3.3%
천 20
 
3.1%
구 19
 
2.9%
로 19
 
2.9%
Other values (85) 342
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
56.4%
Decimal Number 109
 
16.9%
Space Separator 106
 
16.4%
Other Punctuation 23
 
3.6%
Open Punctuation 19
 
2.9%
Close Punctuation 19
 
2.9%
Dash Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
6.0%
중 22
 
6.0%
인 22
 
6.0%
시 21
 
5.8%
천 20
 
5.5%
구 19
 
5.2%
로 19
 
5.2%
역 19
 
5.2%
광 19
 
5.2%
가 10
 
2.7%
Other values (68) 171
47.0%
Decimal Number
ValueCountFrequency (%)
1 29
26.6%
3 18
16.5%
2 18
16.5%
5 12
11.0%
6 9
 
8.3%
0 8
 
7.3%
7 6
 
5.5%
4 5
 
4.6%
8 3
 
2.8%
9 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
56.4%
Common 279
43.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
6.0%
중 22
 
6.0%
인 22
 
6.0%
시 21
 
5.8%
천 20
 
5.5%
구 19
 
5.2%
로 19
 
5.2%
역 19
 
5.2%
광 19
 
5.2%
가 10
 
2.7%
Other values (68) 171
47.0%
Common
ValueCountFrequency (%)
106
38.0%
1 29
 
10.4%
, 23
 
8.2%
( 19
 
6.8%
) 19
 
6.8%
3 18
 
6.5%
2 18
 
6.5%
5 12
 
4.3%
6 9
 
3.2%
0 8
 
2.9%
Other values (5) 18
 
6.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
56.4%
ASCII 281
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
37.7%
1 29
 
10.3%
, 23
 
8.2%
( 19
 
6.8%
) 19
 
6.8%
3 18
 
6.4%
2 18
 
6.4%
5 12
 
4.3%
6 9
 
3.2%
0 8
 
2.8%
Other values (7) 20
 
7.1%
Hangul
ValueCountFrequency (%)
동 22
 
6.0%
중 22
 
6.0%
인 22
 
6.0%
시 21
 
5.8%
천 20
 
5.5%
구 19
 
5.2%
로 19
 
5.2%
역 19
 
5.2%
광 19
 
5.2%
가 10
 
2.7%
Other values (68) 171
47.0%

영업소지번소재지
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-01-28T21:42:12.078439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.1
Min length17

Characters and Unicode

Total characters482
Distinct characters65
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

Unique14 ?
Unique (%)70.0%

Sample

1st row인천광역시 중구 경동 137-5
2nd row인천광역시 중구 선화동 25-5
3rd row인천광역시 중구 신흥동3가 7-241 정석빌딩 612호
4th row인천광역시 중구 신흥동3가 37-17 2층
5th row인천광역시 중구 운서동 2806-3 한스빌딩 7층
ValueCountFrequency (%)
인천광역시 20
20.4%
중구 20
20.4%
운서동 4
 
4.1%
신흥동3가 3
 
3.1%
송월아파트상가 2
 
2.0%
인현동 2
 
2.0%
7층 2
 
2.0%
한스빌딩 2
 
2.0%
2806-3 2
 
2.0%
10-1 2
 
2.0%
Other values (34) 39
39.8%
2024-01-28T21:42:12.377228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
19.7%
1 27
 
5.6%
인 23
 
4.8%
중 22
 
4.6%
시 21
 
4.4%
천 21
 
4.4%
광 20
 
4.1%
역 20
 
4.1%
구 20
 
4.1%
동 20
 
4.1%
Other values (55) 193
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
55.4%
Decimal Number 99
 
20.5%
Space Separator 95
 
19.7%
Dash Punctuation 19
 
3.9%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 23
 
8.6%
중 22
 
8.2%
시 21
 
7.9%
천 21
 
7.9%
광 20
 
7.5%
역 20
 
7.5%
구 20
 
7.5%
동 20
 
7.5%
가 10
 
3.7%
신 5
 
1.9%
Other values (41) 85
31.8%
Decimal Number
ValueCountFrequency (%)
1 27
27.3%
2 17
17.2%
3 11
11.1%
7 9
 
9.1%
4 8
 
8.1%
8 8
 
8.1%
0 7
 
7.1%
5 5
 
5.1%
6 5
 
5.1%
9 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
55.4%
Common 213
44.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 23
 
8.6%
중 22
 
8.2%
시 21
 
7.9%
천 21
 
7.9%
광 20
 
7.5%
역 20
 
7.5%
구 20
 
7.5%
동 20
 
7.5%
가 10
 
3.7%
신 5
 
1.9%
Other values (41) 85
31.8%
Common
ValueCountFrequency (%)
95
44.6%
1 27
 
12.7%
- 19
 
8.9%
2 17
 
8.0%
3 11
 
5.2%
7 9
 
4.2%
4 8
 
3.8%
8 8
 
3.8%
0 7
 
3.3%
5 5
 
2.3%
Other values (2) 7
 
3.3%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
55.4%
ASCII 215
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
44.2%
1 27
 
12.6%
- 19
 
8.8%
2 17
 
7.9%
3 11
 
5.1%
7 9
 
4.2%
4 8
 
3.7%
8 8
 
3.7%
0 7
 
3.3%
5 5
 
2.3%
Other values (4) 9
 
4.2%
Hangul
ValueCountFrequency (%)
인 23
 
8.6%
중 22
 
8.2%
시 21
 
7.9%
천 21
 
7.9%
광 20
 
7.5%
역 20
 
7.5%
구 20
 
7.5%
동 20
 
7.5%
가 10
 
3.7%
신 5
 
1.9%
Other values (41) 85
31.8%

영업소전화번호
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing10
Missing (%)47.6%
Memory size300.0 B
2024-01-28T21:42:12.522596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters133
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

Unique9 ?
Unique (%)81.8%

Sample

1st row032-772-9200
2nd row032-862-4324
3rd row032-747-0778
4th row032-773-7308
5th row070-7785-1807
ValueCountFrequency (%)
032-777-1904 2
18.2%
032-772-9200 1
9.1%
032-862-4324 1
9.1%
032-747-0778 1
9.1%
032-773-7308 1
9.1%
070-7785-1807 1
9.1%
032-777-7056 1
9.1%
032-777-0057 1
9.1%
032-881-1011 1
9.1%
032-872-2447 1
9.1%
2024-01-28T21:42:12.797241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 29
21.8%
0 23
17.3%
- 22
16.5%
2 16
12.0%
3 13
9.8%
8 8
 
6.0%
1 7
 
5.3%
4 7
 
5.3%
9 3
 
2.3%
5 3
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
83.5%
Dash Punctuation 22
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 29
26.1%
0 23
20.7%
2 16
14.4%
3 13
11.7%
8 8
 
7.2%
1 7
 
6.3%
4 7
 
6.3%
9 3
 
2.7%
5 3
 
2.7%
6 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 29
21.8%
0 23
17.3%
- 22
16.5%
2 16
12.0%
3 13
9.8%
8 8
 
6.0%
1 7
 
5.3%
4 7
 
5.3%
9 3
 
2.3%
5 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 29
21.8%
0 23
17.3%
- 22
16.5%
2 16
12.0%
3 13
9.8%
8 8
 
6.0%
1 7
 
5.3%
4 7
 
5.3%
9 3
 
2.3%
5 3
 
2.3%

데이터기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)5.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
Minimum2023-07-11 00:00:00
Maximum2023-07-11 00:00:00
2024-01-28T21:42:12.897263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:42:12.973993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:42:10.404901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:42:13.035415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호영업소도로명소재지영업소지번소재지영업소전화번호
순번1.0000.7470.5890.7470.731
상호0.7471.0001.0001.0001.000
영업소도로명소재지0.5891.0001.0001.0001.000
영업소지번소재지0.7471.0001.0001.0001.000
영업소전화번호0.7311.0001.0001.0001.000

Missing values

2024-01-28T21:42:10.516632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:42:10.605266image/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.
2024-01-28T21:42:10.696977image/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

순번상호영업소도로명소재지영업소지번소재지영업소전화번호데이터기준일
01(주)투바엔터테인먼트인천광역시 중구 참외전로158번길 6-1, 3층 (경동)인천광역시 중구 경동 137-5<NA>2023-07-11
12파도TV인천광역시 중구 도원로8번길 5, 2층 (선화동)인천광역시 중구 선화동 25-5032-772-92002023-07-11
23(주)사람과사람인천광역시 중구 서해대로 366, 612호 (신흥동3가,정석빌딩)인천광역시 중구 신흥동3가 7-241 정석빌딩 612호032-862-43242023-07-11
34현대영상인천광역시 중구 제물량로 35 (신흥동3가,2층)인천광역시 중구 신흥동3가 37-17 2층<NA>2023-07-11
45(주)소프트라인인천광역시 중구 영종대로 124 (운서동,한스빌딩 7층)인천광역시 중구 운서동 2806-3 한스빌딩 7층032-747-07782023-07-11
56꿈꾸는 사람들인천광역시 중구 흰바위로 37, 영종프라자 503-4호 (운서동)인천광역시 중구 운서동 2793-3 영종프라자<NA>2023-07-11
67태성사인천광역시 중구 제물량로 115 (신흥동1가)인천광역시 중구 신흥동1가 36-15032-773-73082023-07-11
78오아시스인천광역시 중구 은하수로 351, 825동 1503호 (중산동, 하늘도시우미린1단지)인천광역시 중구 중산동 1881-1070-7785-18072023-07-11
89스튜디오 베라인천광역시 중구 참외전로13번길 2, 송월아파트상가 (송월동1가)인천광역시 중구 송월동1가 10-1 송월아파트상가032-777-70562023-07-11
910주식회사 디엠비 코리아인천광역시 중구 제물량로 172, 3층 (신생동)인천광역시 중구 신생동 2-41032-777-00572023-07-11
순번상호영업소도로명소재지영업소지번소재지영업소전화번호데이터기준일
1112성신씨앤피인천광역시 중구 자유공원로 3-10, 세대교체 (인현동)인천광역시 중구 인현동 20-24 세대교체032-777-19042023-07-11
1213이지에스인천광역시 중구 신포로46번길 15, 305호 (내동)인천광역시 중구 내동 84-4032-881-10112023-07-11
1314주식회사 에스플랜인천광역시 중구 제물량로 197, 103호 (항동5가)인천광역시 중구 항동5가 11032-872-24472023-07-11
1415청청프로젝트 연구소인천광역시 중구 영종대로252번길 12, 201동 1층 (운서동, 영종LH2단지 아파트)인천광역시 중구 운서동 3102-1 영종LH2단지 아파트<NA>2023-07-11
1516KAHUNA PARK인천광역시 중구 하늘별빛로 111, 103동 2701호 (중산동, 스카이시티자이)인천광역시 중구 중산동 1881-2 스카이시티자이032-777-19042023-07-11
1617(주)사람과사람인천광역시 중구 서해대로 366, 612호 (신흥동3가,정석빌딩)인천광역시 중구 신흥동3가 7-241 정석빌딩 612호<NA>2023-07-11
1718(주)소프트라인인천광역시 중구 영종대로 124 (운서동,한스빌딩 7층)인천광역시 중구 운서동 2806-3 한스빌딩 7층<NA>2023-07-11
1819스튜디오 베라인천광역시 중구 참외전로13번길 2, 송월아파트상가 (송월동1가)인천광역시 중구 송월동1가 10-1 송월아파트상가<NA>2023-07-11
1920헤리슨포드<NA>인천광역시 중구 인현동 27-29 401호<NA>2023-07-11
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