Overview

Dataset statistics

Number of variables7
Number of observations871
Missing cells112
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.6 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description인천광역시 미추홀구 부동산 중개업소 정보에 대한 데이터로 상호명, 중개업자명, 직위, 중개업자구분, 전화번호, 도로명주소 등을 제공합니다.
URLhttps://www.data.go.kr/data/15060766/fileData.do

Alerts

직위 has constant value ""Constant
중개업업자구분 is highly imbalanced (85.9%)Imbalance
전화번호 has 112 (12.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:09:00.952990
Analysis finished2023-12-12 23:09:01.730445
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct871
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean436
Minimum1
Maximum871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-13T08:09:01.800620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.5
Q1218.5
median436
Q3653.5
95-th percentile827.5
Maximum871
Range870
Interquartile range (IQR)435

Descriptive statistics

Standard deviation251.58034
Coefficient of variation (CV)0.57701912
Kurtosis-1.2
Mean436
Median Absolute Deviation (MAD)218
Skewness0
Sum379756
Variance63292.667
MonotonicityStrictly increasing
2023-12-13T08:09:01.943207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
586 1
 
0.1%
575 1
 
0.1%
576 1
 
0.1%
577 1
 
0.1%
578 1
 
0.1%
579 1
 
0.1%
580 1
 
0.1%
581 1
 
0.1%
582 1
 
0.1%
Other values (861) 861
98.9%
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 (%)
871 1
0.1%
870 1
0.1%
869 1
0.1%
868 1
0.1%
867 1
0.1%
866 1
0.1%
865 1
0.1%
864 1
0.1%
863 1
0.1%
862 1
0.1%

상호명
Text

Distinct661
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T08:09:02.168229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length11.292767
Min length7

Characters and Unicode

Total characters9836
Distinct characters379
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique557 ?
Unique (%)63.9%

Sample

1st row장미부동산중개인영업소
2nd row달성부동산중개인사무소
3rd row시대부동산중개인사무소
4th row주안부동산중개사무소
5th row신일부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 34
 
3.7%
제일공인중개사사무소 9
 
1.0%
미래공인중개사사무소 9
 
1.0%
행운공인중개사사무소 9
 
1.0%
하나공인중개사사무소 9
 
1.0%
우리공인중개사사무소 7
 
0.8%
현대공인중개사사무소 7
 
0.8%
동아공인중개사사무소 7
 
0.8%
삼성공인중개사사무소 7
 
0.8%
탑공인중개사사무소 6
 
0.7%
Other values (657) 808
88.6%
2023-12-13T08:09:02.546968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1705
17.3%
인 886
 
9.0%
중 879
 
8.9%
개 879
 
8.9%
소 870
 
8.8%
무 865
 
8.8%
공 839
 
8.5%
동 225
 
2.3%
부 204
 
2.1%
산 201
 
2.0%
Other values (369) 2283
23.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9608
97.7%
Uppercase Letter 80
 
0.8%
Decimal Number 54
 
0.5%
Space Separator 41
 
0.4%
Lowercase Letter 30
 
0.3%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1705
17.7%
인 886
9.2%
중 879
9.1%
개 879
9.1%
소 870
9.1%
무 865
9.0%
공 839
8.7%
동 225
 
2.3%
부 204
 
2.1%
산 201
 
2.1%
Other values (326) 2055
21.4%
Uppercase Letter
ValueCountFrequency (%)
K 22
27.5%
S 17
21.2%
O 8
 
10.0%
T 6
 
7.5%
J 4
 
5.0%
B 4
 
5.0%
G 3
 
3.8%
L 3
 
3.8%
M 3
 
3.8%
N 2
 
2.5%
Other values (6) 8
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
30.0%
h 4
13.3%
n 3
 
10.0%
i 2
 
6.7%
r 2
 
6.7%
a 2
 
6.7%
k 2
 
6.7%
l 1
 
3.3%
m 1
 
3.3%
w 1
 
3.3%
Other values (3) 3
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 23
42.6%
4 11
20.4%
2 10
18.5%
3 3
 
5.6%
0 2
 
3.7%
8 2
 
3.7%
9 2
 
3.7%
7 1
 
1.9%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9607
97.7%
Common 117
 
1.2%
Latin 111
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1705
17.7%
인 886
9.2%
중 879
9.1%
개 879
9.1%
소 870
9.1%
무 865
9.0%
공 839
8.7%
동 225
 
2.3%
부 204
 
2.1%
산 201
 
2.1%
Other values (325) 2054
21.4%
Latin
ValueCountFrequency (%)
K 22
19.8%
S 17
15.3%
e 9
 
8.1%
O 8
 
7.2%
T 6
 
5.4%
J 4
 
3.6%
h 4
 
3.6%
B 4
 
3.6%
G 3
 
2.7%
L 3
 
2.7%
Other values (20) 31
27.9%
Common
ValueCountFrequency (%)
41
35.0%
1 23
19.7%
4 11
 
9.4%
2 10
 
8.5%
( 8
 
6.8%
) 8
 
6.8%
. 4
 
3.4%
3 3
 
2.6%
0 2
 
1.7%
8 2
 
1.7%
Other values (3) 5
 
4.3%
Han
ValueCountFrequency (%)
安 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9607
97.7%
ASCII 227
 
2.3%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1705
17.7%
인 886
9.2%
중 879
9.1%
개 879
9.1%
소 870
9.1%
무 865
9.0%
공 839
8.7%
동 225
 
2.3%
부 204
 
2.1%
산 201
 
2.1%
Other values (325) 2054
21.4%
ASCII
ValueCountFrequency (%)
41
18.1%
1 23
 
10.1%
K 22
 
9.7%
S 17
 
7.5%
4 11
 
4.8%
2 10
 
4.4%
e 9
 
4.0%
( 8
 
3.5%
O 8
 
3.5%
) 8
 
3.5%
Other values (32) 70
30.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
安 1
100.0%

중개업자명
Text

Distinct835
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T08:09:02.911675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9885189
Min length2

Characters and Unicode

Total characters2603
Distinct characters192
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)92.2%

Sample

1st row유제순
2nd row서일석
3rd row이유년
4th row노창호
5th row이경재
ValueCountFrequency (%)
이미숙 4
 
0.5%
김정희 3
 
0.3%
김미경 3
 
0.3%
김영미 2
 
0.2%
김정옥 2
 
0.2%
이명숙 2
 
0.2%
김민선 2
 
0.2%
김여진 2
 
0.2%
김인숙 2
 
0.2%
이옥희 2
 
0.2%
Other values (825) 847
97.2%
2023-12-13T08:09:03.462948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 196
 
7.5%
이 131
 
5.0%
정 105
 
4.0%
영 87
 
3.3%
박 82
 
3.2%
희 79
 
3.0%
미 54
 
2.1%
숙 54
 
2.1%
현 52
 
2.0%
선 51
 
2.0%
Other values (182) 1712
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2603
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 196
 
7.5%
이 131
 
5.0%
정 105
 
4.0%
영 87
 
3.3%
박 82
 
3.2%
희 79
 
3.0%
미 54
 
2.1%
숙 54
 
2.1%
현 52
 
2.0%
선 51
 
2.0%
Other values (182) 1712
65.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2603
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 196
 
7.5%
이 131
 
5.0%
정 105
 
4.0%
영 87
 
3.3%
박 82
 
3.2%
희 79
 
3.0%
미 54
 
2.1%
숙 54
 
2.1%
현 52
 
2.0%
선 51
 
2.0%
Other values (182) 1712
65.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2603
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 196
 
7.5%
이 131
 
5.0%
정 105
 
4.0%
영 87
 
3.3%
박 82
 
3.2%
희 79
 
3.0%
미 54
 
2.1%
숙 54
 
2.1%
현 52
 
2.0%
선 51
 
2.0%
Other values (182) 1712
65.8%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
대표
871 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대표 871
100.0%

Length

2023-12-13T08:09:03.658849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:03.791022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 871
100.0%

중개업업자구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
공인중개사
844 
중개인
 
21
법인
 
6

Length

Max length5
Median length5
Mean length4.9311137
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 844
96.9%
중개인 21
 
2.4%
법인 6
 
0.7%

Length

2023-12-13T08:09:03.913013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:04.016087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 844
96.9%
중개인 21
 
2.4%
법인 6
 
0.7%

전화번호
Text

MISSING 

Distinct752
Distinct (%)99.1%
Missing112
Missing (%)12.9%
Memory size6.9 KiB
2023-12-13T08:09:04.581505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.00527
Min length9

Characters and Unicode

Total characters9112
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique745 ?
Unique (%)98.2%

Sample

1st row032-866-3416
2nd row032-424-3434
3rd row032-866-6048
4th row032-862-4377
5th row032-863-4400
ValueCountFrequency (%)
032-424-9777 2
 
0.3%
032-888-0102 2
 
0.3%
032-873-8844 2
 
0.3%
032-421-3333 2
 
0.3%
032-861-3535 2
 
0.3%
032-875-0028 2
 
0.3%
032-888-0054 2
 
0.3%
032-888-4422 1
 
0.1%
032-433-8886 1
 
0.1%
032-885-0520 1
 
0.1%
Other values (742) 742
97.8%
2023-12-13T08:09:05.005078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1517
16.6%
0 1399
15.4%
2 1284
14.1%
3 1162
12.8%
8 1020
11.2%
4 656
7.2%
7 496
 
5.4%
6 481
 
5.3%
1 394
 
4.3%
9 369
 
4.0%
Other values (2) 334
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7594
83.3%
Dash Punctuation 1517
 
16.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1399
18.4%
2 1284
16.9%
3 1162
15.3%
8 1020
13.4%
4 656
8.6%
7 496
 
6.5%
6 481
 
6.3%
1 394
 
5.2%
9 369
 
4.9%
5 333
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 1517
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1517
16.6%
0 1399
15.4%
2 1284
14.1%
3 1162
12.8%
8 1020
11.2%
4 656
7.2%
7 496
 
5.4%
6 481
 
5.3%
1 394
 
4.3%
9 369
 
4.0%
Other values (2) 334
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1517
16.6%
0 1399
15.4%
2 1284
14.1%
3 1162
12.8%
8 1020
11.2%
4 656
7.2%
7 496
 
5.4%
6 481
 
5.3%
1 394
 
4.3%
9 369
 
4.0%
Other values (2) 334
 
3.7%

도로명주소
Text

Distinct857
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T08:09:05.372914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length28.530425
Min length17

Characters and Unicode

Total characters24850
Distinct characters265
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

Unique843 ?
Unique (%)96.8%

Sample

1st row인천광역시 미추홀구 미추홀대로575번길 62
2nd row인천광역시 미추홀구 경원대로807번길 16
3rd row인천광역시 미추홀구 인하로 211
4th row인천광역시 미추홀구 염창로 87
5th row인천광역시 미추홀구 인하로163번길 2
ValueCountFrequency (%)
인천광역시 870
 
19.8%
미추홀구 869
 
19.8%
1층 149
 
3.4%
인하로 40
 
0.9%
경인로 39
 
0.9%
101호 35
 
0.8%
주안로 35
 
0.8%
1층(주안동 33
 
0.8%
석정로 29
 
0.7%
소성로 29
 
0.7%
Other values (1104) 2258
51.5%
2023-12-13T08:09:05.895219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3515
 
14.1%
1 1223
 
4.9%
인 1118
 
4.5%
홀 970
 
3.9%
미 950
 
3.8%
추 947
 
3.8%
구 884
 
3.6%
천 884
 
3.6%
시 883
 
3.6%
역 878
 
3.5%
Other values (255) 12598
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15075
60.7%
Decimal Number 4456
 
17.9%
Space Separator 3515
 
14.1%
Other Punctuation 675
 
2.7%
Close Punctuation 458
 
1.8%
Open Punctuation 458
 
1.8%
Dash Punctuation 123
 
0.5%
Uppercase Letter 80
 
0.3%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1118
 
7.4%
홀 970
 
6.4%
미 950
 
6.3%
추 947
 
6.3%
구 884
 
5.9%
천 884
 
5.9%
시 883
 
5.9%
역 878
 
5.8%
광 877
 
5.8%
로 825
 
5.5%
Other values (220) 5859
38.9%
Uppercase Letter
ValueCountFrequency (%)
A 17
21.2%
S 15
18.8%
B 9
11.2%
K 7
8.8%
E 6
 
7.5%
C 5
 
6.2%
W 5
 
6.2%
V 5
 
6.2%
I 5
 
6.2%
H 1
 
1.2%
Other values (5) 5
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 1223
27.4%
0 530
11.9%
3 506
11.4%
2 494
11.1%
4 367
 
8.2%
5 298
 
6.7%
8 294
 
6.6%
6 288
 
6.5%
7 254
 
5.7%
9 202
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 666
98.7%
@ 5
 
0.7%
/ 4
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
y 4
40.0%
k 4
40.0%
e 2
20.0%
Space Separator
ValueCountFrequency (%)
3515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15075
60.7%
Common 9685
39.0%
Latin 90
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1118
 
7.4%
홀 970
 
6.4%
미 950
 
6.3%
추 947
 
6.3%
구 884
 
5.9%
천 884
 
5.9%
시 883
 
5.9%
역 878
 
5.8%
광 877
 
5.8%
로 825
 
5.5%
Other values (220) 5859
38.9%
Latin
ValueCountFrequency (%)
A 17
18.9%
S 15
16.7%
B 9
10.0%
K 7
7.8%
E 6
 
6.7%
C 5
 
5.6%
W 5
 
5.6%
V 5
 
5.6%
I 5
 
5.6%
y 4
 
4.4%
Other values (8) 12
13.3%
Common
ValueCountFrequency (%)
3515
36.3%
1 1223
 
12.6%
, 666
 
6.9%
0 530
 
5.5%
3 506
 
5.2%
2 494
 
5.1%
) 458
 
4.7%
( 458
 
4.7%
4 367
 
3.8%
5 298
 
3.1%
Other values (7) 1170
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15075
60.7%
ASCII 9775
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3515
36.0%
1 1223
 
12.5%
, 666
 
6.8%
0 530
 
5.4%
3 506
 
5.2%
2 494
 
5.1%
) 458
 
4.7%
( 458
 
4.7%
4 367
 
3.8%
5 298
 
3.0%
Other values (25) 1260
 
12.9%
Hangul
ValueCountFrequency (%)
인 1118
 
7.4%
홀 970
 
6.4%
미 950
 
6.3%
추 947
 
6.3%
구 884
 
5.9%
천 884
 
5.9%
시 883
 
5.9%
역 878
 
5.8%
광 877
 
5.8%
로 825
 
5.5%
Other values (220) 5859
38.9%

Interactions

2023-12-13T08:09:01.405735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:09:05.990871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업업자구분
연번1.0000.382
중개업업자구분0.3821.000
2023-12-13T08:09:06.065880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업업자구분
연번1.0000.245
중개업업자구분0.2451.000

Missing values

2023-12-13T08:09:01.579467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:09:01.690229image/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

연번상호명중개업자명직위중개업업자구분전화번호도로명주소
01장미부동산중개인영업소유제순대표중개인032-866-3416인천광역시 미추홀구 미추홀대로575번길 62
12달성부동산중개인사무소서일석대표중개인032-424-3434인천광역시 미추홀구 경원대로807번길 16
23시대부동산중개인사무소이유년대표중개인032-866-6048인천광역시 미추홀구 인하로 211
34주안부동산중개사무소노창호대표중개인032-862-4377인천광역시 미추홀구 염창로 87
45신일부동산중개인사무소이경재대표중개인032-863-4400인천광역시 미추홀구 인하로163번길 2
56중앙부동산중개사사무소나병철대표중개인032-425-4149인천광역시 미추홀구 경인로430번길 18
67태양부동산중개인사무소곽수영대표중개인032-424-4208인천광역시 미추홀구 미추홀대로626번길 81
78주안부동산중개인사무소김동광대표중개인032-441-1212인천광역시 미추홀구 경인로380번길 3, 1층(주안동)
89대성부동산중개인사무소강무원대표중개인032-885-3199인천광역시 미추홀구 미추로 24
910현대부동산중개인사무소박호철대표중개인032-435-6886인천광역시 미추홀구 미추홀대로632번길 37
연번상호명중개업자명직위중개업업자구분전화번호도로명주소
861862자이힐공인중개사사무소전순향대표공인중개사032-719-8817인천광역시 미추홀구 인하로 204, 103호(주안동)
862863행복한복덕방공인중개사사무소심지영대표공인중개사032-425-8844인천광역시 미추홀구 주안동로 33, 104호(주안동)
863864동아공인중개사사무소김희겸대표공인중개사032-466-4109인천광역시 미추홀구 미추홀대로646번길 37, 102호
864865더드림자이공인중개사사무소윤현주대표공인중개사032-888-3307인천광역시 미추홀구 독배로 398-1, 1층(용현동)
865866버디공인중개사사무소안영천대표공인중개사<NA>인천광역시 미추홀구 경인로 391, 제지하층 제2-1호(주안동)
866867롯데부동산공인중개사사무소주금자대표공인중개사<NA>인천광역시 미추홀구 경원대로 809, 1층(주안동)
867868금두꺼비공인중개사사무소이명숙대표공인중개사032-423-5001인천광역시 미추홀구 미추홀대로614번길 3, 1층
868869쌍용공인중개사사무소우재석대표공인중개사<NA>인천광역시 미추홀구 인하로 292, 쌍용 주안상가 제1층 제110호(주안동)
869870사거리공인중개사사무소남혜숙대표공인중개사<NA>인천광역시 미추홀구 독배로 404, 1층(용현동)
870871동경공인중개사사무소배성호대표공인중개사<NA>인천광역시 미추홀구 주안서로 53, 2층 201호(주안동)