Overview

Dataset statistics

Number of variables8
Number of observations546
Missing cells177
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.8 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description전북특별자치도 군산시 소재한 부동산중개업소 현황으로 시군구, 영업구분, 사무소명, 대표자명, 중개업자구분, 사무소전화, 사무소주소 등을 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/3080118/fileData.do

Alerts

시군구 has constant value ""Constant
영업구분 has constant value ""Constant
중개업자구분 is highly imbalanced (88.3%)Imbalance
사무소전화번호 has 177 (32.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:56:04.836736
Analysis finished2024-03-14 20:56:06.880258
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct546
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.5
Minimum1
Maximum546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-03-15T05:56:07.169969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.25
Q1137.25
median273.5
Q3409.75
95-th percentile518.75
Maximum546
Range545
Interquartile range (IQR)272.5

Descriptive statistics

Standard deviation157.7609
Coefficient of variation (CV)0.57682229
Kurtosis-1.2
Mean273.5
Median Absolute Deviation (MAD)136.5
Skewness0
Sum149331
Variance24888.5
MonotonicityStrictly increasing
2024-03-15T05:56:07.782661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
368 1
 
0.2%
362 1
 
0.2%
363 1
 
0.2%
364 1
 
0.2%
365 1
 
0.2%
366 1
 
0.2%
367 1
 
0.2%
369 1
 
0.2%
411 1
 
0.2%
Other values (536) 536
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
546 1
0.2%
545 1
0.2%
544 1
0.2%
543 1
0.2%
542 1
0.2%
541 1
0.2%
540 1
0.2%
539 1
0.2%
538 1
0.2%
537 1
0.2%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
전북특별자치도 군산시
546 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전북특별자치도 군산시
2nd row전북특별자치도 군산시
3rd row전북특별자치도 군산시
4th row전북특별자치도 군산시
5th row전북특별자치도 군산시

Common Values

ValueCountFrequency (%)
전북특별자치도 군산시 546
100.0%

Length

2024-03-15T05:56:08.243483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:56:08.670183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북특별자치도 546
50.0%
군산시 546
50.0%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
영업중
546 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 546
100.0%

Length

2024-03-15T05:56:09.057797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:56:09.235696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 546
100.0%

사무소명
Text

Distinct544
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T05:56:10.021684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.17033
Min length9

Characters and Unicode

Total characters6099
Distinct characters336
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

Unique542 ?
Unique (%)99.3%

Sample

1st row금강부동산중개인사무소
2nd row다원부동산공중개인사무소
3rd row수송부동산중개인사무소
4th row유명부동산중개인사무소
5th row투투부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 8
 
1.4%
현대공인중개사사무소 2
 
0.4%
유)새만금공인중개사사무소 2
 
0.4%
새만금장군공인중개사사무소 1
 
0.2%
스피드공인중개사사무소 1
 
0.2%
차오름공인중개사사무소 1
 
0.2%
청춘공인중개사사무소 1
 
0.2%
마음공인중개사사무소 1
 
0.2%
강산공인중개사사무소 1
 
0.2%
이만석공인중개사사무소 1
 
0.2%
Other values (537) 537
96.6%
2024-03-15T05:56:11.463562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1081
17.7%
인 552
 
9.1%
중 549
 
9.0%
개 547
 
9.0%
소 547
 
9.0%
무 544
 
8.9%
공 539
 
8.8%
산 91
 
1.5%
군 59
 
1.0%
이 42
 
0.7%
Other values (326) 1548
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6038
99.0%
Uppercase Letter 21
 
0.3%
Space Separator 10
 
0.2%
Lowercase Letter 8
 
0.1%
Decimal Number 8
 
0.1%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1081
17.9%
인 552
 
9.1%
중 549
 
9.1%
개 547
 
9.1%
소 547
 
9.1%
무 544
 
9.0%
공 539
 
8.9%
산 91
 
1.5%
군 59
 
1.0%
이 42
 
0.7%
Other values (300) 1487
24.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
14.3%
P 2
9.5%
O 2
9.5%
K 2
9.5%
I 2
9.5%
B 2
9.5%
M 2
9.5%
T 1
 
4.8%
L 1
 
4.8%
S 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
2 1
12.5%
9 1
12.5%
0 1
12.5%
5 1
12.5%
6 1
12.5%
3 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
75.0%
w 1
 
12.5%
n 1
 
12.5%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6038
99.0%
Common 32
 
0.5%
Latin 29
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1081
17.9%
인 552
 
9.1%
중 549
 
9.1%
개 547
 
9.1%
소 547
 
9.1%
무 544
 
9.0%
공 539
 
8.9%
산 91
 
1.5%
군 59
 
1.0%
이 42
 
0.7%
Other values (300) 1487
24.6%
Latin
ValueCountFrequency (%)
e 6
20.7%
A 3
10.3%
P 2
 
6.9%
O 2
 
6.9%
K 2
 
6.9%
I 2
 
6.9%
B 2
 
6.9%
M 2
 
6.9%
w 1
 
3.4%
n 1
 
3.4%
Other values (6) 6
20.7%
Common
ValueCountFrequency (%)
10
31.2%
) 7
21.9%
( 7
21.9%
1 2
 
6.2%
2 1
 
3.1%
9 1
 
3.1%
0 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
3 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6038
99.0%
ASCII 61
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1081
17.9%
인 552
 
9.1%
중 549
 
9.1%
개 547
 
9.1%
소 547
 
9.1%
무 544
 
9.0%
공 539
 
8.9%
산 91
 
1.5%
군 59
 
1.0%
이 42
 
0.7%
Other values (300) 1487
24.6%
ASCII
ValueCountFrequency (%)
10
16.4%
) 7
 
11.5%
( 7
 
11.5%
e 6
 
9.8%
A 3
 
4.9%
P 2
 
3.3%
O 2
 
3.3%
K 2
 
3.3%
I 2
 
3.3%
1 2
 
3.3%
Other values (16) 18
29.5%

대표자명
Text

Distinct536
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T05:56:13.074443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.0128205
Min length2

Characters and Unicode

Total characters1645
Distinct characters177
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

Unique527 ?
Unique (%)96.5%

Sample

1st row송정택
2nd row이길순
3rd row고석중
4th row차복철
5th row신명옥
ValueCountFrequency (%)
김미경 3
 
0.5%
신은숙 2
 
0.4%
박미숙 2
 
0.4%
김정희 2
 
0.4%
이선아 2
 
0.4%
김영철 2
 
0.4%
김서연 2
 
0.4%
박은희 2
 
0.4%
이정희 2
 
0.4%
이진석 1
 
0.2%
Other values (527) 527
96.3%
2024-03-15T05:56:14.864949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 111
 
6.7%
이 90
 
5.5%
정 77
 
4.7%
영 50
 
3.0%
희 50
 
3.0%
경 39
 
2.4%
미 39
 
2.4%
숙 38
 
2.3%
박 36
 
2.2%
윤 32
 
1.9%
Other values (167) 1083
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1633
99.3%
Uppercase Letter 9
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 111
 
6.8%
이 90
 
5.5%
정 77
 
4.7%
영 50
 
3.1%
희 50
 
3.1%
경 39
 
2.4%
미 39
 
2.4%
숙 38
 
2.3%
박 36
 
2.2%
윤 32
 
2.0%
Other values (158) 1071
65.6%
Uppercase Letter
ValueCountFrequency (%)
N 2
22.2%
I 2
22.2%
J 2
22.2%
C 1
11.1%
H 1
11.1%
U 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1633
99.3%
Latin 9
 
0.5%
Common 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 111
 
6.8%
이 90
 
5.5%
정 77
 
4.7%
영 50
 
3.1%
희 50
 
3.1%
경 39
 
2.4%
미 39
 
2.4%
숙 38
 
2.3%
박 36
 
2.2%
윤 32
 
2.0%
Other values (158) 1071
65.6%
Latin
ValueCountFrequency (%)
N 2
22.2%
I 2
22.2%
J 2
22.2%
C 1
11.1%
H 1
11.1%
U 1
11.1%
Common
ValueCountFrequency (%)
( 1
33.3%
) 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1633
99.3%
ASCII 12
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 111
 
6.8%
이 90
 
5.5%
정 77
 
4.7%
영 50
 
3.1%
희 50
 
3.1%
경 39
 
2.4%
미 39
 
2.4%
숙 38
 
2.3%
박 36
 
2.2%
윤 32
 
2.0%
Other values (158) 1071
65.6%
ASCII
ValueCountFrequency (%)
N 2
16.7%
I 2
16.7%
J 2
16.7%
C 1
8.3%
H 1
8.3%
U 1
8.3%
( 1
8.3%
) 1
8.3%
1
8.3%

중개업자구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
공인중개사
533 
중개인
 
7
법인
 
6

Length

Max length5
Median length5
Mean length4.9413919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 533
97.6%
중개인 7
 
1.3%
법인 6
 
1.1%

Length

2024-03-15T05:56:15.310870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:56:15.642290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 533
97.6%
중개인 7
 
1.3%
법인 6
 
1.1%

사무소전화번호
Text

MISSING 

Distinct367
Distinct (%)99.5%
Missing177
Missing (%)32.4%
Memory size4.4 KiB
2024-03-15T05:56:16.424538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length12
Mean length12.498645
Min length12

Characters and Unicode

Total characters4612
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)98.9%

Sample

1st row063-445-1222
2nd row063-466-1216
3rd row063-462-6087
4th row063-464-6482
5th row063-462-1798
ValueCountFrequency (%)
063-468-5020 2
 
0.5%
063-468-7997 2
 
0.5%
063-471-2489 2
 
0.5%
063-463-1080 1
 
0.3%
063-451-8249 1
 
0.3%
063-453-0700 1
 
0.3%
063-465-7760 1
 
0.3%
063-443-6400 1
 
0.3%
063-471-1472 1
 
0.3%
063-446-5884 1
 
0.3%
Other values (357) 357
96.5%
2024-03-15T05:56:17.502443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 766
16.6%
6 757
16.4%
0 672
14.6%
4 620
13.4%
3 534
11.6%
8 235
 
5.1%
5 227
 
4.9%
2 216
 
4.7%
1 210
 
4.6%
7 193
 
4.2%
Other values (3) 182
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3833
83.1%
Dash Punctuation 766
 
16.6%
Other Punctuation 12
 
0.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 757
19.7%
0 672
17.5%
4 620
16.2%
3 534
13.9%
8 235
 
6.1%
5 227
 
5.9%
2 216
 
5.6%
1 210
 
5.5%
7 193
 
5.0%
9 169
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 766
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 766
16.6%
6 757
16.4%
0 672
14.6%
4 620
13.4%
3 534
11.6%
8 235
 
5.1%
5 227
 
4.9%
2 216
 
4.7%
1 210
 
4.6%
7 193
 
4.2%
Other values (3) 182
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 766
16.6%
6 757
16.4%
0 672
14.6%
4 620
13.4%
3 534
11.6%
8 235
 
5.1%
5 227
 
4.9%
2 216
 
4.7%
1 210
 
4.6%
7 193
 
4.2%
Other values (3) 182
 
3.9%

사무소주소
Text

Distinct502
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T05:56:19.051277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length28.813187
Min length18

Characters and Unicode

Total characters15732
Distinct characters220
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

Unique464 ?
Unique (%)85.0%

Sample

1st row전북특별자치도 군산시 공단대로 629 (소룡동)
2nd row전북특별자치도 군산시 부원로 124 (산북동)
3rd row전북특별자치도 군산시 문화로 73 (수송동)
4th row전북특별자치도 군산시 설림3길 10 (소룡동)
5th row전북특별자치도 군산시 구영4길 4 (중앙로1가)
ValueCountFrequency (%)
전북특별자치도 546
 
18.1%
군산시 546
 
18.1%
상가동 53
 
1.8%
상가 43
 
1.4%
1층 32
 
1.1%
102호 27
 
0.9%
105호 25
 
0.8%
103호 24
 
0.8%
번영로 24
 
0.8%
101호 23
 
0.8%
Other values (652) 1669
55.4%
2024-03-15T05:56:20.964057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2615
 
16.6%
1 766
 
4.9%
시 591
 
3.8%
산 589
 
3.7%
도 577
 
3.7%
북 570
 
3.6%
군 556
 
3.5%
전 551
 
3.5%
자 548
 
3.5%
치 546
 
3.5%
Other values (210) 7823
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10078
64.1%
Space Separator 2615
 
16.6%
Decimal Number 2481
 
15.8%
Close Punctuation 218
 
1.4%
Open Punctuation 217
 
1.4%
Other Punctuation 67
 
0.4%
Dash Punctuation 45
 
0.3%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 591
 
5.9%
산 589
 
5.8%
도 577
 
5.7%
북 570
 
5.7%
군 556
 
5.5%
전 551
 
5.5%
자 548
 
5.4%
치 546
 
5.4%
별 546
 
5.4%
특 546
 
5.4%
Other values (187) 4458
44.2%
Decimal Number
ValueCountFrequency (%)
1 766
30.9%
0 360
14.5%
2 337
13.6%
3 244
 
9.8%
4 183
 
7.4%
5 165
 
6.7%
7 131
 
5.3%
6 112
 
4.5%
9 92
 
3.7%
8 91
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 55
82.1%
. 8
 
11.9%
/ 3
 
4.5%
@ 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
L 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10078
64.1%
Common 5643
35.9%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 591
 
5.9%
산 589
 
5.8%
도 577
 
5.7%
북 570
 
5.7%
군 556
 
5.5%
전 551
 
5.5%
자 548
 
5.4%
치 546
 
5.4%
별 546
 
5.4%
특 546
 
5.4%
Other values (187) 4458
44.2%
Common
ValueCountFrequency (%)
2615
46.3%
1 766
 
13.6%
0 360
 
6.4%
2 337
 
6.0%
3 244
 
4.3%
) 218
 
3.9%
( 217
 
3.8%
4 183
 
3.2%
5 165
 
2.9%
7 131
 
2.3%
Other values (8) 407
 
7.2%
Latin
ValueCountFrequency (%)
e 5
45.5%
A 2
 
18.2%
B 2
 
18.2%
L 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10078
64.1%
ASCII 5654
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2615
46.3%
1 766
 
13.5%
0 360
 
6.4%
2 337
 
6.0%
3 244
 
4.3%
) 218
 
3.9%
( 217
 
3.8%
4 183
 
3.2%
5 165
 
2.9%
7 131
 
2.3%
Other values (13) 418
 
7.4%
Hangul
ValueCountFrequency (%)
시 591
 
5.9%
산 589
 
5.8%
도 577
 
5.7%
북 570
 
5.7%
군 556
 
5.5%
전 551
 
5.5%
자 548
 
5.4%
치 546
 
5.4%
별 546
 
5.4%
특 546
 
5.4%
Other values (187) 4458
44.2%

Interactions

2024-03-15T05:56:05.737894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:56:21.127425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.291
중개업자구분0.2911.000
2024-03-15T05:56:21.319871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.180
중개업자구분0.1801.000

Missing values

2024-03-15T05:56:06.195291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:56:06.712685image/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

연번시군구영업구분사무소명대표자명중개업자구분사무소전화번호사무소주소
01전북특별자치도 군산시영업중금강부동산중개인사무소송정택중개인063-445-1222전북특별자치도 군산시 공단대로 629 (소룡동)
12전북특별자치도 군산시영업중다원부동산공중개인사무소이길순중개인063-466-1216전북특별자치도 군산시 부원로 124 (산북동)
23전북특별자치도 군산시영업중수송부동산중개인사무소고석중중개인063-462-6087전북특별자치도 군산시 문화로 73 (수송동)
34전북특별자치도 군산시영업중유명부동산중개인사무소차복철중개인063-464-6482전북특별자치도 군산시 설림3길 10 (소룡동)
45전북특별자치도 군산시영업중투투부동산중개인사무소신명옥중개인<NA>전북특별자치도 군산시 구영4길 4 (중앙로1가)
56전북특별자치도 군산시영업중교차로공인중개사사무소전봉희공인중개사063-462-1798전북특별자치도 군산시 대학로 146 (문화동)
67전북특별자치도 군산시영업중호남공인중개사사무소신철수공인중개사063-445-1212전북특별자치도 군산시 중앙로 130 (중앙로2가)
78전북특별자치도 군산시영업중백제공인중개사사무소배상철공인중개사063-452-5835전북특별자치도 군산시 조촌로 65 (조촌동)
89전북특별자치도 군산시영업중세운공인중개사사무소백성완공인중개사063-442-4011전북특별자치도 군산시 동팔마길 1 (동흥남동)
910전북특별자치도 군산시영업중등대공인중개사사무소주부경공인중개사063-466-2929전북특별자치도 군산시 월명로 140 (수송동)
연번시군구영업구분사무소명대표자명중개업자구분사무소전화번호사무소주소
536537전북특별자치도 군산시영업중e편한길잡이공인중개사사무소한승숙공인중개사<NA>전북특별자치도 군산시 궁포2로 25 e편한세상 디오션시티 120동 104호
537538전북특별자치도 군산시영업중요기어때공인중개사사무소이소연공인중개사<NA>전북특별자치도 군산시 대학로 342 동아26빌딩 1404호
538539전북특별자치도 군산시영업중new진품공인중개사사무소박은희공인중개사<NA>전북특별자치도 군산시 옥산면 옥산로 167
539540전북특별자치도 군산시영업중군산새로공인중개사사무소김창인공인중개사<NA>전북특별자치도 군산시 상지곡안3길 22 1층
540541전북특별자치도 군산시영업중은파레이크공인중개사사무소신은미공인중개사063-471-2489전북특별자치도 군산시 옥산면 월명로 83 예가빌딩 105호
541542전북특별자치도 군산시영업중더골드공인중개사사무소조창진공인중개사<NA>전북특별자치도 군산시 중앙로 81 지하층
542543전북특별자치도 군산시영업중우미린이금의공인중개사사무소이금의공인중개사063-463-1080전북특별자치도 군산시 미장남로 100 미장대원칸타빌 상가 1동 102호
543544전북특별자치도 군산시영업중옥구이정일공인중개사사무소이정일공인중개사063-471-0701전북특별자치도 군산시 옥구읍 옥구로 26
544545전북특별자치도 군산시영업중홈런공인중개사사무소김인성공인중개사<NA>전북특별자치도 군산시 나운안1길 17 109호
545546전북특별자치도 군산시영업중공감공인중개사사무소김석근공인중개사063-443-5002전북특별자치도 군산시 풍문안2길 10 1층