Overview

Dataset statistics

Number of variables8
Number of observations148
Missing cells79
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory64.9 B

Variable types

Categorical3
Text5

Dataset

Description전라북도 완주군 관내 영업중인 부동산중개업소 등록 현황, 부동산 중개업소 명칭, 대표자 이름, 소재지, 전화번호, 관리부서, 관리부서 전화번호 등의 정보를 제공합니다.
Author전라북도 완주군
URLhttps://www.data.go.kr/data/3076596/fileData.do

Alerts

시군구 has constant value ""Constant
영업구분 has constant value ""Constant
중개업자 구분 is highly imbalanced (89.8%)Imbalance
사무소 전화번호 has 79 (53.4%) missing valuesMissing
등록번호 has unique valuesUnique
사무소 이름 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:57:39.616147
Analysis finished2023-12-11 22:57:40.137605
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
완주군
148 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 148
100.0%

Length

2023-12-12T07:57:40.222845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:57:40.315472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완주군 148
100.0%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
148 

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 148
100.0%

Length

2023-12-12T07:57:40.402376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:57:40.501452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 148
100.0%

등록번호
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:57:40.713405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.195946
Min length8

Characters and Unicode

Total characters2101
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row45710-2015-00002
2nd row45710-2015-00004
3rd row45710-2015-00007
4th row45710-2015-00010
5th row45710-2015-00011
ValueCountFrequency (%)
45710-2015-00002 1
 
0.7%
45710-2022-00003 1
 
0.7%
45710-2022-00013 1
 
0.7%
45710-2022-00006 1
 
0.7%
45710-2022-00007 1
 
0.7%
45710-2022-00008 1
 
0.7%
45710-2022-00010 1
 
0.7%
45710-2022-00011 1
 
0.7%
45710-2022-00012 1
 
0.7%
45710-2022-00014 1
 
0.7%
Other values (138) 138
93.2%
2023-12-12T07:57:41.089925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 659
31.4%
1 287
13.7%
2 266
12.7%
- 258
 
12.3%
7 177
 
8.4%
4 169
 
8.0%
5 141
 
6.7%
가 38
 
1.8%
3 32
 
1.5%
6 29
 
1.4%
Other values (2) 45
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1805
85.9%
Dash Punctuation 258
 
12.3%
Other Letter 38
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 659
36.5%
1 287
15.9%
2 266
14.7%
7 177
 
9.8%
4 169
 
9.4%
5 141
 
7.8%
3 32
 
1.8%
6 29
 
1.6%
9 23
 
1.3%
8 22
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Other Letter
ValueCountFrequency (%)
가 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2063
98.2%
Hangul 38
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 659
31.9%
1 287
13.9%
2 266
12.9%
- 258
 
12.5%
7 177
 
8.6%
4 169
 
8.2%
5 141
 
6.8%
3 32
 
1.6%
6 29
 
1.4%
9 23
 
1.1%
Hangul
ValueCountFrequency (%)
가 38
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2063
98.2%
Hangul 38
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 659
31.9%
1 287
13.9%
2 266
12.9%
- 258
 
12.5%
7 177
 
8.6%
4 169
 
8.2%
5 141
 
6.8%
3 32
 
1.6%
6 29
 
1.4%
9 23
 
1.1%
Hangul
ValueCountFrequency (%)
가 38
100.0%

사무소 이름
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:57:41.369338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.885135
Min length9

Characters and Unicode

Total characters1611
Distinct characters165
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row새고산부동산중개사무소
2nd row렉시안공인중개사사무소
3rd row대자연공인중개사사무소
4th row고산다물공인중개사사무소
5th row코아루공인중개사사무소
ValueCountFrequency (%)
공인중개사사무소 9
 
5.5%
사무소 3
 
1.8%
공인중개사 2
 
1.2%
새고산부동산중개사무소 1
 
0.6%
이수공인중개사사무소 1
 
0.6%
혁신네모공인중개사사무소 1
 
0.6%
다한공인중개사사무소 1
 
0.6%
전주혁신황금공인중개사사무소 1
 
0.6%
우리부동산공인중개사사무소 1
 
0.6%
ok부동산공인중개사사무소 1
 
0.6%
Other values (143) 143
87.2%
2023-12-12T07:57:41.884878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 287
17.8%
개 150
 
9.3%
중 149
 
9.2%
무 145
 
9.0%
소 145
 
9.0%
인 143
 
8.9%
공 138
 
8.6%
동 27
 
1.7%
부 25
 
1.6%
산 24
 
1.5%
Other values (155) 378
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
98.3%
Space Separator 16
 
1.0%
Decimal Number 7
 
0.4%
Uppercase Letter 2
 
0.1%
Lowercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 287
18.1%
개 150
9.5%
중 149
9.4%
무 145
9.2%
소 145
9.2%
인 143
9.0%
공 138
 
8.7%
동 27
 
1.7%
부 25
 
1.6%
산 24
 
1.5%
Other values (145) 350
22.1%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
2 1
 
14.3%
3 1
 
14.3%
4 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
H 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
98.3%
Common 24
 
1.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 287
18.1%
개 150
9.5%
중 149
9.4%
무 145
9.2%
소 145
9.2%
인 143
9.0%
공 138
 
8.7%
동 27
 
1.7%
부 25
 
1.6%
산 24
 
1.5%
Other values (145) 350
22.1%
Common
ValueCountFrequency (%)
16
66.7%
1 4
 
16.7%
2 1
 
4.2%
3 1
 
4.2%
+ 1
 
4.2%
4 1
 
4.2%
Latin
ValueCountFrequency (%)
M 1
25.0%
k 1
25.0%
o 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
98.3%
ASCII 28
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 287
18.1%
개 150
9.5%
중 149
9.4%
무 145
9.2%
소 145
9.2%
인 143
9.0%
공 138
 
8.7%
동 27
 
1.7%
부 25
 
1.6%
산 24
 
1.5%
Other values (145) 350
22.1%
ASCII
ValueCountFrequency (%)
16
57.1%
1 4
 
14.3%
M 1
 
3.6%
k 1
 
3.6%
o 1
 
3.6%
H 1
 
3.6%
2 1
 
3.6%
3 1
 
3.6%
+ 1
 
3.6%
4 1
 
3.6%

대표자명
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:57:42.272419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9864865
Min length2

Characters and Unicode

Total characters442
Distinct characters124
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

Unique148 ?
Unique (%)100.0%

Sample

1st row이택상
2nd row태치옥
3rd row이흥수
4th row최영철
5th row전연순
ValueCountFrequency (%)
이택상 1
 
0.7%
최수현 1
 
0.7%
김재호 1
 
0.7%
오희성 1
 
0.7%
임혜진 1
 
0.7%
마길순 1
 
0.7%
임숙 1
 
0.7%
이종찬 1
 
0.7%
오이수 1
 
0.7%
장현서 1
 
0.7%
Other values (138) 138
93.2%
2023-12-12T07:57:42.802064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
6.8%
이 22
 
5.0%
정 18
 
4.1%
영 17
 
3.8%
최 15
 
3.4%
경 13
 
2.9%
박 13
 
2.9%
희 12
 
2.7%
현 12
 
2.7%
오 10
 
2.3%
Other values (114) 280
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
6.8%
이 22
 
5.0%
정 18
 
4.1%
영 17
 
3.8%
최 15
 
3.4%
경 13
 
2.9%
박 13
 
2.9%
희 12
 
2.7%
현 12
 
2.7%
오 10
 
2.3%
Other values (114) 280
63.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
6.8%
이 22
 
5.0%
정 18
 
4.1%
영 17
 
3.8%
최 15
 
3.4%
경 13
 
2.9%
박 13
 
2.9%
희 12
 
2.7%
현 12
 
2.7%
오 10
 
2.3%
Other values (114) 280
63.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
6.8%
이 22
 
5.0%
정 18
 
4.1%
영 17
 
3.8%
최 15
 
3.4%
경 13
 
2.9%
박 13
 
2.9%
희 12
 
2.7%
현 12
 
2.7%
오 10
 
2.3%
Other values (114) 280
63.3%

중개업자 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개업공인중개사
145 
중개법인
 
2
중개인
 
1

Length

Max length7
Median length7
Mean length6.9324324
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
개업공인중개사 145
98.0%
중개법인 2
 
1.4%
중개인 1
 
0.7%

Length

2023-12-12T07:57:42.982809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:57:43.102039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개업공인중개사 145
98.0%
중개법인 2
 
1.4%
중개인 1
 
0.7%

사무소 주소
Text

Distinct133
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:57:43.407041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length23.608108
Min length18

Characters and Unicode

Total characters3494
Distinct characters122
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

Unique122 ?
Unique (%)82.4%

Sample

1st row전라북도 완주군 고산면 고산로 97
2nd row전라북도 완주군 봉동읍 둔산3로 67
3rd row전라북도 완주군 소양면 소양로 236
4th row전라북도 완주군 고산면 고산천로 567-66
5th row전라북도 완주군 봉동읍 둔산3로 67, 상가동 106호(코아루아파트)
ValueCountFrequency (%)
전라북도 148
18.2%
완주군 148
18.2%
이서면 41
 
5.1%
삼례읍 36
 
4.4%
봉동읍 33
 
4.1%
용진읍 16
 
2.0%
삼봉로 15
 
1.8%
상가동 12
 
1.5%
완주로 9
 
1.1%
기지로 8
 
1.0%
Other values (189) 345
42.5%
2023-12-12T07:57:43.944242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
663
19.0%
주 162
 
4.6%
1 161
 
4.6%
완 157
 
4.5%
전 154
 
4.4%
북 150
 
4.3%
군 148
 
4.2%
라 148
 
4.2%
도 148
 
4.2%
로 135
 
3.9%
Other values (112) 1468
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2180
62.4%
Space Separator 663
 
19.0%
Decimal Number 554
 
15.9%
Other Punctuation 51
 
1.5%
Dash Punctuation 20
 
0.6%
Close Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 162
 
7.4%
완 157
 
7.2%
전 154
 
7.1%
북 150
 
6.9%
군 148
 
6.8%
라 148
 
6.8%
도 148
 
6.8%
로 135
 
6.2%
읍 86
 
3.9%
봉 72
 
3.3%
Other values (95) 820
37.6%
Decimal Number
ValueCountFrequency (%)
1 161
29.1%
3 58
 
10.5%
0 56
 
10.1%
2 49
 
8.8%
4 45
 
8.1%
6 44
 
7.9%
9 39
 
7.0%
7 36
 
6.5%
5 35
 
6.3%
8 31
 
5.6%
Space Separator
ValueCountFrequency (%)
663
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
62.4%
Common 1312
37.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 162
 
7.4%
완 157
 
7.2%
전 154
 
7.1%
북 150
 
6.9%
군 148
 
6.8%
라 148
 
6.8%
도 148
 
6.8%
로 135
 
6.2%
읍 86
 
3.9%
봉 72
 
3.3%
Other values (95) 820
37.6%
Common
ValueCountFrequency (%)
663
50.5%
1 161
 
12.3%
3 58
 
4.4%
0 56
 
4.3%
, 51
 
3.9%
2 49
 
3.7%
4 45
 
3.4%
6 44
 
3.4%
9 39
 
3.0%
7 36
 
2.7%
Other values (5) 110
 
8.4%
Latin
ValueCountFrequency (%)
e 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2180
62.4%
ASCII 1314
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
663
50.5%
1 161
 
12.3%
3 58
 
4.4%
0 56
 
4.3%
, 51
 
3.9%
2 49
 
3.7%
4 45
 
3.4%
6 44
 
3.3%
9 39
 
3.0%
7 36
 
2.7%
Other values (7) 112
 
8.5%
Hangul
ValueCountFrequency (%)
주 162
 
7.4%
완 157
 
7.2%
전 154
 
7.1%
북 150
 
6.9%
군 148
 
6.8%
라 148
 
6.8%
도 148
 
6.8%
로 135
 
6.2%
읍 86
 
3.9%
봉 72
 
3.3%
Other values (95) 820
37.6%

사무소 전화번호
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing79
Missing (%)53.4%
Memory size1.3 KiB
2023-12-12T07:57:44.209486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.913043
Min length8

Characters and Unicode

Total characters753
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

Unique69 ?
Unique (%)100.0%

Sample

1st row262-4949
2nd row063-243-7389
3rd row063-261-4988
4th row063-274-5678
5th row261-8863
ValueCountFrequency (%)
063-241-3400 1
 
1.4%
228-4050 1
 
1.4%
291-6733 1
 
1.4%
262-8947 1
 
1.4%
291-9909 1
 
1.4%
063-261-8245 1
 
1.4%
063-222-5770 1
 
1.4%
063)263-8800 1
 
1.4%
063-222-5989 1
 
1.4%
063-278-3825 1
 
1.4%
Other values (59) 59
85.5%
2023-12-12T07:57:44.609230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
15.7%
2 109
14.5%
0 99
13.1%
6 89
11.8%
3 81
10.8%
9 55
7.3%
8 55
7.3%
4 47
 
6.2%
1 36
 
4.8%
7 31
 
4.1%
Other values (3) 33
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
84.1%
Dash Punctuation 118
 
15.7%
Close Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 109
17.2%
0 99
15.6%
6 89
14.1%
3 81
12.8%
9 55
8.7%
8 55
8.7%
4 47
7.4%
1 36
 
5.7%
7 31
 
4.9%
5 31
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
15.7%
2 109
14.5%
0 99
13.1%
6 89
11.8%
3 81
10.8%
9 55
7.3%
8 55
7.3%
4 47
 
6.2%
1 36
 
4.8%
7 31
 
4.1%
Other values (3) 33
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
15.7%
2 109
14.5%
0 99
13.1%
6 89
11.8%
3 81
10.8%
9 55
7.3%
8 55
7.3%
4 47
 
6.2%
1 36
 
4.8%
7 31
 
4.1%
Other values (3) 33
 
4.4%

Correlations

2023-12-12T07:57:44.697650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자 구분사무소 전화번호
중개업자 구분1.0001.000
사무소 전화번호1.0001.000

Missing values

2023-12-12T07:57:39.955038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:57:40.089743image/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

시군구영업구분등록번호사무소 이름대표자명중개업자 구분사무소 주소사무소 전화번호
0완주군영업중45710-2015-00002새고산부동산중개사무소이택상개업공인중개사전라북도 완주군 고산면 고산로 97<NA>
1완주군영업중45710-2015-00004렉시안공인중개사사무소태치옥개업공인중개사전라북도 완주군 봉동읍 둔산3로 67262-4949
2완주군영업중45710-2015-00007대자연공인중개사사무소이흥수개업공인중개사전라북도 완주군 소양면 소양로 236063-243-7389
3완주군영업중45710-2015-00010고산다물공인중개사사무소최영철개업공인중개사전라북도 완주군 고산면 고산천로 567-66<NA>
4완주군영업중45710-2015-00011코아루공인중개사사무소전연순개업공인중개사전라북도 완주군 봉동읍 둔산3로 67, 상가동 106호(코아루아파트)063-261-4988
5완주군영업중45710-2015-00017완주봉동공인중개사사무소이설로개업공인중개사전라북도 완주군 봉동읍 봉동중앙로 113063-274-5678
6완주군영업중45710-2015-00022봉동공인중개사사무소조현주개업공인중개사전라북도 완주군 봉동읍 낙평동서로 54261-8863
7완주군영업중45710-2015-00026길부동산중개사무소김길웅개업공인중개사전라북도 완주군 이서면 지사제로 3063-223-4988
8완주군영업중45710-2016-00002금빛공인중개사사무소김도희개업공인중개사전라북도 완주군 이서면 이서로 56<NA>
9완주군영업중45710-2016-00003원주공인중개사사무소김현개업공인중개사전라북도 완주군 용진읍 완주로 716063-262-8985
시군구영업구분등록번호사무소 이름대표자명중개업자 구분사무소 주소사무소 전화번호
138완주군영업중가1704-360황소공인중개사사무소황경연개업공인중개사전라북도 완주군 이서면 갈산1로 73, 상가동 102호(이노힐스아파트)063-286-8300
139완주군영업중가1704-367신동아공인중개사사무소유봉수개업공인중개사전라북도 완주군 삼례읍 삼례역로 10<NA>
140완주군영업중가1704-368금민공인중개사사무소유점례개업공인중개사전라북도 완주군 이서면 기지로 36, 108063-224-6984
141완주군영업중가1704-371MH공인중개사사무소최요일개업공인중개사전라북도 완주군 이서면 지사제안길 86<NA>
142완주군영업중가1704-374삼성공인중개사사무소박승복개업공인중개사전라북도 완주군 이서면 양동길 41225-8944
143완주군영업중가1704-377고산부동산공인중개사사무소최올규개업공인중개사전라북도 완주군 고산면 고산로 97261-3334
144완주군영업중가1704-387지큐빌공인중개사사무소오정섭개업공인중개사전라북도 완주군 상관면 신리로 97, 상가 108<NA>
145완주군영업중가1704-415금비공인중개사사무소정혜인개업공인중개사전라북도 완주군 이서면 기지로 37, 102<NA>
146완주군영업중가1704-425천마공인중개사사무소김영환개업공인중개사전라북도 완주군 용진읍 봉서로 57-2<NA>
147완주군영업중가1704-83대송공인중개사사무소강영희개업공인중개사전라북도 완주군 고산면 고산천로 188<NA>