Overview

Dataset statistics

Number of variables8
Number of observations117
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory65.1 B

Variable types

Text5
DateTime1
Categorical2

Dataset

Description논산시 부동산중개업소 등록현황 파일데이터로 등록번호, 등록일자, 업소구분, 업소명, 행정동, 소재지도로명주소, 소재지지번주소, 전화번호 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=389&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078244

Alerts

등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:40:52.858953
Analysis finished2024-01-09 22:40:53.285545
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:53.410326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length9.4188034
Min length1

Characters and Unicode

Total characters1102
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

Unique117 ?
Unique (%)100.0%

Sample

1st row7
2nd row9
3rd row18
4th row22
5th row23
ValueCountFrequency (%)
7 1
 
0.9%
44230-2015-00007 1
 
0.9%
44230-2018-00017 1
 
0.9%
44230-2018-00016 1
 
0.9%
44230-2018-00013 1
 
0.9%
44230-2018-00012 1
 
0.9%
44230-2018-00011 1
 
0.9%
44230-2018-00010 1
 
0.9%
44230-2018-00009 1
 
0.9%
44230-2018-00007 1
 
0.9%
Other values (107) 107
91.5%
2024-01-10T07:40:53.703227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 357
32.4%
2 168
15.2%
4 132
 
12.0%
- 118
 
10.7%
3 109
 
9.9%
1 95
 
8.6%
8 29
 
2.6%
9 27
 
2.5%
7 25
 
2.3%
5 21
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 984
89.3%
Dash Punctuation 118
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 357
36.3%
2 168
17.1%
4 132
 
13.4%
3 109
 
11.1%
1 95
 
9.7%
8 29
 
2.9%
9 27
 
2.7%
7 25
 
2.5%
5 21
 
2.1%
6 21
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 357
32.4%
2 168
15.2%
4 132
 
12.0%
- 118
 
10.7%
3 109
 
9.9%
1 95
 
8.6%
8 29
 
2.6%
9 27
 
2.5%
7 25
 
2.3%
5 21
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 357
32.4%
2 168
15.2%
4 132
 
12.0%
- 118
 
10.7%
3 109
 
9.9%
1 95
 
8.6%
8 29
 
2.6%
9 27
 
2.5%
7 25
 
2.3%
5 21
 
1.9%

등록일자
Date

Distinct113
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1984-06-11 00:00:00
Maximum2020-11-23 00:00:00
2024-01-10T07:40:53.822623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:40:53.934767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
공인중개사
104 
중개인
13 

Length

Max length5
Median length5
Mean length4.7777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 104
88.9%
중개인 13
 
11.1%

Length

2024-01-10T07:40:54.289720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:40:54.370697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 104
88.9%
중개인 13
 
11.1%

업소명
Text

Distinct116
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:54.545761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.7521368
Min length5

Characters and Unicode

Total characters1141
Distinct characters137
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)98.3%

Sample

1st row대명부동산중개인
2nd row벌곡신신부동산중개사무소
3rd row부적부동산중개인
4th row영진부동산사무소
5th row가야부동산중개인
ValueCountFrequency (%)
미소공인중개사사무소 2
 
1.7%
중개사 2
 
1.7%
광석공인중개사 1
 
0.8%
논산대성공인중개사 1
 
0.8%
청담공인중개사 1
 
0.8%
마루공인중개사사무소 1
 
0.8%
골드공인중개사사무소 1
 
0.8%
강산공인중개사사무소 1
 
0.8%
탑공인중개사 1
 
0.8%
행복한공인중개사사무소 1
 
0.8%
Other values (109) 109
90.1%
2024-01-10T07:40:54.837116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 188
16.5%
중 113
9.9%
개 112
9.8%
인 109
9.6%
공 101
 
8.9%
무 89
 
7.8%
소 89
 
7.8%
산 28
 
2.5%
동 26
 
2.3%
부 22
 
1.9%
Other values (127) 264
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
99.4%
Space Separator 4
 
0.4%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 188
16.6%
중 113
10.0%
개 112
9.9%
인 109
9.6%
공 101
 
8.9%
무 89
 
7.8%
소 89
 
7.8%
산 28
 
2.5%
동 26
 
2.3%
부 22
 
1.9%
Other values (123) 257
22.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
99.4%
Common 5
 
0.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 188
16.6%
중 113
10.0%
개 112
9.9%
인 109
9.6%
공 101
 
8.9%
무 89
 
7.8%
소 89
 
7.8%
산 28
 
2.5%
동 26
 
2.3%
부 22
 
1.9%
Other values (123) 257
22.7%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
99.4%
ASCII 7
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 188
16.6%
중 113
10.0%
개 112
9.9%
인 109
9.6%
공 101
 
8.9%
무 89
 
7.8%
소 89
 
7.8%
산 28
 
2.5%
동 26
 
2.3%
부 22
 
1.9%
Other values (123) 257
22.7%
ASCII
ValueCountFrequency (%)
4
57.1%
K 1
 
14.3%
O 1
 
14.3%
1 1
 
14.3%

행정동
Categorical

Distinct10
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취암동
77 
연산면
17 
부창동
8 
상월면
 
3
연무읍
 
3
Other values (5)
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row상월면
2nd row벌곡면
3rd row부적면
4th row취암동
5th row부창동

Common Values

ValueCountFrequency (%)
취암동 77
65.8%
연산면 17
 
14.5%
부창동 8
 
6.8%
상월면 3
 
2.6%
연무읍 3
 
2.6%
은진면 3
 
2.6%
벌곡면 2
 
1.7%
강경읍 2
 
1.7%
부적면 1
 
0.9%
광석면 1
 
0.9%

Length

2024-01-10T07:40:54.953763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:40:55.049650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 77
65.8%
연산면 17
 
14.5%
부창동 8
 
6.8%
상월면 3
 
2.6%
연무읍 3
 
2.6%
은진면 3
 
2.6%
벌곡면 2
 
1.7%
강경읍 2
 
1.7%
부적면 1
 
0.9%
광석면 1
 
0.9%

소재지도로명주소
Text

Distinct103
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:55.323527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length19.307692
Min length14

Characters and Unicode

Total characters2259
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)79.5%

Sample

1st row충청남도 논산시 상월면 선비로 1089
2nd row충청남도 논산시 벌곡면 황룡재로 601
3rd row충청남도 논산시 부적면 덕평1길 32-5
4th row충청남도 논산시 시민로 322
5th row충청남도 논산시 해월로 35
ValueCountFrequency (%)
충청남도 117
23.3%
논산시 117
23.3%
중앙로 18
 
3.6%
연산면 17
 
3.4%
황산벌로 12
 
2.4%
시민로 9
 
1.8%
계백로 8
 
1.6%
1498 5
 
1.0%
시민로258번길 4
 
0.8%
22 4
 
0.8%
Other values (136) 192
38.2%
2024-01-10T07:40:55.704504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
17.1%
산 148
 
6.6%
시 143
 
6.3%
논 118
 
5.2%
청 118
 
5.2%
충 117
 
5.2%
남 117
 
5.2%
도 117
 
5.2%
로 113
 
5.0%
1 104
 
4.6%
Other values (71) 777
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1369
60.6%
Decimal Number 461
 
20.4%
Space Separator 387
 
17.1%
Dash Punctuation 38
 
1.7%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 148
10.8%
시 143
10.4%
논 118
8.6%
청 118
8.6%
충 117
8.5%
남 117
8.5%
도 117
8.5%
로 113
 
8.3%
번 45
 
3.3%
길 42
 
3.1%
Other values (56) 291
21.3%
Decimal Number
ValueCountFrequency (%)
1 104
22.6%
2 59
12.8%
4 57
12.4%
3 55
11.9%
8 45
9.8%
9 35
 
7.6%
0 30
 
6.5%
6 27
 
5.9%
7 25
 
5.4%
5 24
 
5.2%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1369
60.6%
Common 890
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 148
10.8%
시 143
10.4%
논 118
8.6%
청 118
8.6%
충 117
8.5%
남 117
8.5%
도 117
8.5%
로 113
 
8.3%
번 45
 
3.3%
길 42
 
3.1%
Other values (56) 291
21.3%
Common
ValueCountFrequency (%)
387
43.5%
1 104
 
11.7%
2 59
 
6.6%
4 57
 
6.4%
3 55
 
6.2%
8 45
 
5.1%
- 38
 
4.3%
9 35
 
3.9%
0 30
 
3.4%
6 27
 
3.0%
Other values (5) 53
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1369
60.6%
ASCII 890
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
43.5%
1 104
 
11.7%
2 59
 
6.6%
4 57
 
6.4%
3 55
 
6.2%
8 45
 
5.1%
- 38
 
4.3%
9 35
 
3.9%
0 30
 
3.4%
6 27
 
3.0%
Other values (5) 53
 
6.0%
Hangul
ValueCountFrequency (%)
산 148
10.8%
시 143
10.4%
논 118
8.6%
청 118
8.6%
충 117
8.5%
남 117
8.5%
도 117
8.5%
로 113
 
8.3%
번 45
 
3.3%
길 42
 
3.1%
Other values (56) 291
21.3%

소재지지번주소
Text

Distinct102
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:55.960678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.179487
Min length14

Characters and Unicode

Total characters2595
Distinct characters92
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)77.8%

Sample

1st row충청남도 논산시 상월면 대우리 261-1번지
2nd row충청남도 논산시 벌곡면 한삼천리 243-8번지
3rd row충청남도 논산시 부적면 덕평리 331번지
4th row충청남도 논산시 취암동 460-30번지
5th row충청남도 논산시 부창동 314-7번지
ValueCountFrequency (%)
충청남도 117
22.9%
논산시 117
22.9%
취암동 45
 
8.8%
내동 27
 
5.3%
연산면 17
 
3.3%
연산리 14
 
2.7%
160-1번지 5
 
1.0%
반월동 4
 
0.8%
강산동 4
 
0.8%
연무읍 3
 
0.6%
Other values (132) 157
30.8%
2024-01-10T07:40:56.342277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
19.6%
산 158
 
6.1%
논 121
 
4.7%
지 120
 
4.6%
남 119
 
4.6%
청 119
 
4.6%
충 117
 
4.5%
도 117
 
4.5%
시 117
 
4.5%
번 116
 
4.5%
Other values (82) 982
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1532
59.0%
Space Separator 509
 
19.6%
Decimal Number 473
 
18.2%
Dash Punctuation 81
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 158
10.3%
논 121
 
7.9%
지 120
 
7.8%
남 119
 
7.8%
청 119
 
7.8%
충 117
 
7.6%
도 117
 
7.6%
시 117
 
7.6%
번 116
 
7.6%
동 88
 
5.7%
Other values (70) 340
22.2%
Decimal Number
ValueCountFrequency (%)
1 109
23.0%
2 50
10.6%
0 48
10.1%
4 48
10.1%
6 45
9.5%
3 41
 
8.7%
7 37
 
7.8%
9 37
 
7.8%
5 34
 
7.2%
8 24
 
5.1%
Space Separator
ValueCountFrequency (%)
509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1532
59.0%
Common 1063
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 158
10.3%
논 121
 
7.9%
지 120
 
7.8%
남 119
 
7.8%
청 119
 
7.8%
충 117
 
7.6%
도 117
 
7.6%
시 117
 
7.6%
번 116
 
7.6%
동 88
 
5.7%
Other values (70) 340
22.2%
Common
ValueCountFrequency (%)
509
47.9%
1 109
 
10.3%
- 81
 
7.6%
2 50
 
4.7%
0 48
 
4.5%
4 48
 
4.5%
6 45
 
4.2%
3 41
 
3.9%
7 37
 
3.5%
9 37
 
3.5%
Other values (2) 58
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1532
59.0%
ASCII 1063
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509
47.9%
1 109
 
10.3%
- 81
 
7.6%
2 50
 
4.7%
0 48
 
4.5%
4 48
 
4.5%
6 45
 
4.2%
3 41
 
3.9%
7 37
 
3.5%
9 37
 
3.5%
Other values (2) 58
 
5.5%
Hangul
ValueCountFrequency (%)
산 158
10.3%
논 121
 
7.9%
지 120
 
7.8%
남 119
 
7.8%
청 119
 
7.8%
충 117
 
7.6%
도 117
 
7.6%
시 117
 
7.6%
번 116
 
7.6%
동 88
 
5.7%
Other values (70) 340
22.2%

전화번호
Text

Distinct85
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:40:56.561601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008547
Min length12

Characters and Unicode

Total characters1405
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

Unique84 ?
Unique (%)71.8%

Sample

1st row041-732-4761
2nd row041-733-7882
3rd row041-732-7587
4th row041-732-2333
5th row041-735-2559
ValueCountFrequency (%)
000-000-0000 33
28.2%
041-732-0037 1
 
0.9%
041-733-1994 1
 
0.9%
041-735-9200 1
 
0.9%
041-733-3206 1
 
0.9%
041-732-3757 1
 
0.9%
041-733-5800 1
 
0.9%
041-733-4825 1
 
0.9%
041-734-6113 1
 
0.9%
041-734-8001 1
 
0.9%
Other values (75) 75
64.1%
2024-01-10T07:40:56.877274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 463
33.0%
- 234
16.7%
3 133
 
9.5%
4 131
 
9.3%
1 114
 
8.1%
7 114
 
8.1%
5 55
 
3.9%
8 52
 
3.7%
2 42
 
3.0%
9 34
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1171
83.3%
Dash Punctuation 234
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 463
39.5%
3 133
 
11.4%
4 131
 
11.2%
1 114
 
9.7%
7 114
 
9.7%
5 55
 
4.7%
8 52
 
4.4%
2 42
 
3.6%
9 34
 
2.9%
6 33
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1405
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 463
33.0%
- 234
16.7%
3 133
 
9.5%
4 131
 
9.3%
1 114
 
8.1%
7 114
 
8.1%
5 55
 
3.9%
8 52
 
3.7%
2 42
 
3.0%
9 34
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 463
33.0%
- 234
16.7%
3 133
 
9.5%
4 131
 
9.3%
1 114
 
8.1%
7 114
 
8.1%
5 55
 
3.9%
8 52
 
3.7%
2 42
 
3.0%
9 34
 
2.4%

Correlations

2024-01-10T07:40:56.971142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동전화번호
업소구분1.0000.5361.000
행정동0.5361.0000.936
전화번호1.0000.9361.000
2024-01-10T07:40:57.052794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업소구분
행정동1.0000.398
업소구분0.3981.000
2024-01-10T07:40:57.122079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동
업소구분1.0000.398
행정동0.3981.000

Missing values

2024-01-10T07:40:53.146506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:40:53.245853image/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

등록번호등록일자업소구분업소명행정동소재지도로명주소소재지지번주소전화번호
071984-06-11중개인대명부동산중개인상월면충청남도 논산시 상월면 선비로 1089충청남도 논산시 상월면 대우리 261-1번지041-732-4761
191984-06-13중개인벌곡신신부동산중개사무소벌곡면충청남도 논산시 벌곡면 황룡재로 601충청남도 논산시 벌곡면 한삼천리 243-8번지041-733-7882
2181984-08-28중개인부적부동산중개인부적면충청남도 논산시 부적면 덕평1길 32-5충청남도 논산시 부적면 덕평리 331번지041-732-7587
3221985-02-04중개인영진부동산사무소취암동충청남도 논산시 시민로 322충청남도 논산시 취암동 460-30번지041-732-2333
4231985-02-09중개인가야부동산중개인부창동충청남도 논산시 해월로 35충청남도 논산시 부창동 314-7번지041-735-2559
5311985-08-17중개인동진부동산중개인취암동충청남도 논산시 계백로 1014충청남도 논산시 취암동 1040-22번지041-732-2377
6341985-11-07중개인신흥부동산연산면충청남도 논산시 연산면 연산리 79-8충청남도 논산시 연산면 연산리 79-8번지041-734-1879
7391986-02-20중개인대림부동산중개인취암동충청남도 논산시 계백로 1007-14충청남도 논산시 취암동 612-4번지041-735-2434
8521987-02-16중개인종능부동산중개인취암동충청남도 논산시 중앙로 427-1충청남도 논산시 취암동 176-3번지041-735-2590
9631987-09-09중개인대신부동산취암동충청남도 논산시 중앙로 469충청남도 논산시 반월동 104-2번지041-735-0074
등록번호등록일자업소구분업소명행정동소재지도로명주소소재지지번주소전화번호
10744230-2020-000052020-04-24공인중개사오복공인중개사사무소취암동충청남도 논산시 중앙로384번길 40충청남도 논산시 취암동 1076-1번지000-000-0000
10844230-2020-000062020-06-16공인중개사현대공인중개사사무소취암동충청남도 논산시 시민로 227충청남도 논산시 내동 363-7번지000-000-0000
10944230-2020-000072020-06-16공인중개사그루터기공인중개사사무소취암동충청남도 논산시 중앙로384번길 31-13충청남도 논산시 취암동 1064-2번지000-000-0000
11044230-2020-000082020-08-07공인중개사스마트공인중개사사무소취암동충청남도 논산시 시민로210번길 9-1충청남도 논산시 내동 955번지000-000-0000
11144230-2020-000092020-08-12공인중개사하나공인중개사사무소취암동충청남도 논산시 시민로258번길 22충청남도 논산시 내동 272-7번지000-000-0000
11244230-2020-000102020-09-18공인중개사대덕공인중개사사무소부창동충청남도 논산시 대화로133번길 1충청남도 논산시 대교동 254-1번지041-733-1818
11344230-2020-000112020-09-28공인중개사집콕부동산공인중개사사무소취암동충청남도 논산시 중앙로 324-1, 102호 (그린나래)충청남도 논산시 취암동 503-29번지 그린나래 102호041-735-8800
11444230-2020-000122020-11-20공인중개사신흥공인중개사사무소취암동충청남도 논산시 해월로179번길 6-1충청남도 논산시 반월동 78-20번지000-000-0000
11544230-2020-000132020-11-23공인중개사스타공인중개사사무소부창동충청남도 논산시 대화로 117충청남도 논산시 대교동 251-2번지041-733-7188
11644230-2021-000012020-10-08공인중개사대길부동산공인중개사사무소은진면충청남도 논산시 은진면 탑정로 333, 101호충청남도 논산시 은진면 교촌리 166-8번지 101호000-000-0000