Overview

Dataset statistics

Number of variables8
Number of observations125
Missing cells41
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 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

업소구분 is highly imbalanced (51.8%)Imbalance
전화번호 has 41 (32.8%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:40:57.835826
Analysis finished2024-01-09 22:40:58.237689
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:40:58.363476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length9.84
Min length1

Characters and Unicode

Total characters1230
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

Unique125 ?
Unique (%)100.0%

Sample

1st row7
2nd row9
3rd row18
4th row22
5th row23
ValueCountFrequency (%)
7 1
 
0.8%
44230-2016-00002 1
 
0.8%
44230-2019-00005 1
 
0.8%
44230-2019-00003 1
 
0.8%
44230-2019-00001 1
 
0.8%
44230-2018-00021 1
 
0.8%
44230-2018-00020 1
 
0.8%
44230-2018-00018 1
 
0.8%
44230-2018-00017 1
 
0.8%
44230-2018-00016 1
 
0.8%
Other values (115) 115
92.0%
2024-01-10T07:40:58.676600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 405
32.9%
2 194
15.8%
4 149
 
12.1%
- 134
 
10.9%
3 118
 
9.6%
1 103
 
8.4%
8 30
 
2.4%
9 27
 
2.2%
7 26
 
2.1%
5 22
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1096
89.1%
Dash Punctuation 134
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 405
37.0%
2 194
17.7%
4 149
 
13.6%
3 118
 
10.8%
1 103
 
9.4%
8 30
 
2.7%
9 27
 
2.5%
7 26
 
2.4%
5 22
 
2.0%
6 22
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 405
32.9%
2 194
15.8%
4 149
 
12.1%
- 134
 
10.9%
3 118
 
9.6%
1 103
 
8.4%
8 30
 
2.4%
9 27
 
2.2%
7 26
 
2.1%
5 22
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 405
32.9%
2 194
15.8%
4 149
 
12.1%
- 134
 
10.9%
3 118
 
9.6%
1 103
 
8.4%
8 30
 
2.4%
9 27
 
2.2%
7 26
 
2.1%
5 22
 
1.8%

등록일자
Date

Distinct121
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1984-06-11 00:00:00
Maximum2022-01-18 00:00:00
2024-01-10T07:40:58.797768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:40:58.911469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공인중개사
112 
중개인
13 

Length

Max length5
Median length5
Mean length4.792
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 112
89.6%
중개인 13
 
10.4%

Length

2024-01-10T07:40:59.049783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:40:59.161472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 112
89.6%
중개인 13
 
10.4%

업소명
Text

Distinct123
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:40:59.348226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.8
Min length5

Characters and Unicode

Total characters1225
Distinct characters142
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

Unique121 ?
Unique (%)96.8%

Sample

1st row대명부동산중개인
2nd row벌곡신신부동산중개사무소
3rd row부적부동산중개인
4th row영진부동산사무소
5th row가야부동산중개인
ValueCountFrequency (%)
미소공인중개사사무소 2
 
1.6%
중개사 2
 
1.6%
리벤하임공인중개사사무소 2
 
1.6%
예스민공인중개사 1
 
0.8%
베스트공인중개사사무소 1
 
0.8%
우리들공인중개사 1
 
0.8%
그린공인중개사 1
 
0.8%
에이스공인중개사사무소 1
 
0.8%
도은공인중개사사무소 1
 
0.8%
논산대성공인중개사 1
 
0.8%
Other values (116) 116
89.9%
2024-01-10T07:40:59.634624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 202
16.5%
중 121
9.9%
개 120
9.8%
인 117
9.6%
공 109
 
8.9%
소 95
 
7.8%
무 95
 
7.8%
산 30
 
2.4%
동 27
 
2.2%
부 23
 
1.9%
Other values (132) 286
23.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1218
99.4%
Space Separator 4
 
0.3%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 202
16.6%
중 121
9.9%
개 120
9.9%
인 117
9.6%
공 109
 
8.9%
소 95
 
7.8%
무 95
 
7.8%
산 30
 
2.5%
동 27
 
2.2%
부 23
 
1.9%
Other values (128) 279
22.9%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1218
99.4%
Common 5
 
0.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 202
16.6%
중 121
9.9%
개 120
9.9%
인 117
9.6%
공 109
 
8.9%
소 95
 
7.8%
무 95
 
7.8%
산 30
 
2.5%
동 27
 
2.2%
부 23
 
1.9%
Other values (128) 279
22.9%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%
Latin
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1218
99.4%
ASCII 7
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 202
16.6%
중 121
9.9%
개 120
9.9%
인 117
9.6%
공 109
 
8.9%
소 95
 
7.8%
무 95
 
7.8%
산 30
 
2.5%
동 27
 
2.2%
부 23
 
1.9%
Other values (128) 279
22.9%
ASCII
ValueCountFrequency (%)
4
57.1%
O 1
 
14.3%
K 1
 
14.3%
1 1
 
14.3%

행정동
Categorical

Distinct12
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
취암동
80 
연산면
17 
부창동
 
8
연무읍
 
4
상월면
 
3
Other values (7)
13 

Length

Max length3
Median length3
Mean length2.976
Min length2

Unique

Unique3 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
취암동 80
64.0%
연산면 17
 
13.6%
부창동 8
 
6.4%
연무읍 4
 
3.2%
상월면 3
 
2.4%
은진면 3
 
2.4%
내동 3
 
2.4%
벌곡면 2
 
1.6%
강경읍 2
 
1.6%
부적면 1
 
0.8%
Other values (2) 2
 
1.6%

Length

2024-01-10T07:40:59.753149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암동 80
64.0%
연산면 17
 
13.6%
부창동 8
 
6.4%
연무읍 4
 
3.2%
상월면 3
 
2.4%
은진면 3
 
2.4%
내동 3
 
2.4%
벌곡면 2
 
1.6%
강경읍 2
 
1.6%
부적면 1
 
0.8%
Other values (2) 2
 
1.6%

소재지도로명주소
Text

Distinct110
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:41:00.019133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length19.544
Min length14

Characters and Unicode

Total characters2443
Distinct characters91
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

Unique99 ?
Unique (%)79.2%

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 125
23.0%
논산시 125
23.0%
중앙로 21
 
3.9%
연산면 17
 
3.1%
황산벌로 12
 
2.2%
시민로 10
 
1.8%
계백로 8
 
1.5%
1498 5
 
0.9%
대학로65번길 5
 
0.9%
선비로 4
 
0.7%
Other values (147) 212
39.0%
2024-01-10T07:41:00.415218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
17.2%
산 156
 
6.4%
시 153
 
6.3%
논 126
 
5.2%
청 126
 
5.2%
충 125
 
5.1%
남 125
 
5.1%
도 125
 
5.1%
로 121
 
5.0%
1 115
 
4.7%
Other values (81) 851
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1474
60.3%
Decimal Number 502
 
20.5%
Space Separator 420
 
17.2%
Dash Punctuation 38
 
1.6%
Other Punctuation 7
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 156
10.6%
시 153
10.4%
논 126
 
8.5%
청 126
 
8.5%
충 125
 
8.5%
남 125
 
8.5%
도 125
 
8.5%
로 121
 
8.2%
번 47
 
3.2%
길 44
 
3.0%
Other values (66) 326
22.1%
Decimal Number
ValueCountFrequency (%)
1 115
22.9%
2 65
12.9%
4 62
12.4%
3 59
11.8%
8 46
 
9.2%
9 37
 
7.4%
0 34
 
6.8%
6 30
 
6.0%
5 28
 
5.6%
7 26
 
5.2%
Space Separator
ValueCountFrequency (%)
420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1474
60.3%
Common 969
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 156
10.6%
시 153
10.4%
논 126
 
8.5%
청 126
 
8.5%
충 125
 
8.5%
남 125
 
8.5%
도 125
 
8.5%
로 121
 
8.2%
번 47
 
3.2%
길 44
 
3.0%
Other values (66) 326
22.1%
Common
ValueCountFrequency (%)
420
43.3%
1 115
 
11.9%
2 65
 
6.7%
4 62
 
6.4%
3 59
 
6.1%
8 46
 
4.7%
- 38
 
3.9%
9 37
 
3.8%
0 34
 
3.5%
6 30
 
3.1%
Other values (5) 63
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1474
60.3%
ASCII 969
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
43.3%
1 115
 
11.9%
2 65
 
6.7%
4 62
 
6.4%
3 59
 
6.1%
8 46
 
4.7%
- 38
 
3.9%
9 37
 
3.8%
0 34
 
3.5%
6 30
 
3.1%
Other values (5) 63
 
6.5%
Hangul
ValueCountFrequency (%)
산 156
10.6%
시 153
10.4%
논 126
 
8.5%
청 126
 
8.5%
충 125
 
8.5%
남 125
 
8.5%
도 125
 
8.5%
로 121
 
8.2%
번 47
 
3.2%
길 44
 
3.0%
Other values (66) 326
22.1%

소재지지번주소
Text

Distinct110
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:41:00.706208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.192
Min length14

Characters and Unicode

Total characters2774
Distinct characters97
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

Unique99 ?
Unique (%)79.2%

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 125
22.7%
논산시 125
22.7%
취암동 48
 
8.7%
내동 30
 
5.4%
연산면 17
 
3.1%
연산리 14
 
2.5%
160-1번지 5
 
0.9%
반월동 4
 
0.7%
강산동 4
 
0.7%
연무읍 4
 
0.7%
Other values (146) 175
31.8%
2024-01-10T07:41:01.115738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
19.5%
산 167
 
6.0%
논 129
 
4.7%
청 127
 
4.6%
남 127
 
4.6%
시 125
 
4.5%
충 125
 
4.5%
도 125
 
4.5%
1 120
 
4.3%
지 120
 
4.3%
Other values (87) 1067
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1630
58.8%
Space Separator 542
 
19.5%
Decimal Number 517
 
18.6%
Dash Punctuation 85
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 167
10.2%
논 129
 
7.9%
청 127
 
7.8%
남 127
 
7.8%
시 125
 
7.7%
충 125
 
7.7%
도 125
 
7.7%
지 120
 
7.4%
번 116
 
7.1%
동 94
 
5.8%
Other values (75) 375
23.0%
Decimal Number
ValueCountFrequency (%)
1 120
23.2%
2 56
10.8%
0 53
10.3%
4 51
9.9%
3 46
 
8.9%
6 45
 
8.7%
7 42
 
8.1%
9 39
 
7.5%
5 37
 
7.2%
8 28
 
5.4%
Space Separator
ValueCountFrequency (%)
542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1630
58.8%
Common 1144
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 167
10.2%
논 129
 
7.9%
청 127
 
7.8%
남 127
 
7.8%
시 125
 
7.7%
충 125
 
7.7%
도 125
 
7.7%
지 120
 
7.4%
번 116
 
7.1%
동 94
 
5.8%
Other values (75) 375
23.0%
Common
ValueCountFrequency (%)
542
47.4%
1 120
 
10.5%
- 85
 
7.4%
2 56
 
4.9%
0 53
 
4.6%
4 51
 
4.5%
3 46
 
4.0%
6 45
 
3.9%
7 42
 
3.7%
9 39
 
3.4%
Other values (2) 65
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1630
58.8%
ASCII 1144
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
47.4%
1 120
 
10.5%
- 85
 
7.4%
2 56
 
4.9%
0 53
 
4.6%
4 51
 
4.5%
3 46
 
4.0%
6 45
 
3.9%
7 42
 
3.7%
9 39
 
3.4%
Other values (2) 65
 
5.7%
Hangul
ValueCountFrequency (%)
산 167
10.2%
논 129
 
7.9%
청 127
 
7.8%
남 127
 
7.8%
시 125
 
7.7%
충 125
 
7.7%
도 125
 
7.7%
지 120
 
7.4%
번 116
 
7.1%
동 94
 
5.8%
Other values (75) 375
23.0%

전화번호
Text

MISSING 

Distinct84
Distinct (%)100.0%
Missing41
Missing (%)32.8%
Memory size1.1 KiB
2024-01-10T07:41:01.324242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011905
Min length12

Characters and Unicode

Total characters1009
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 (%)100.0%

Sample

1st row041-732-4761
2nd row041-733-7882
3rd row041-732-7587
4th row041-732-2333
5th row041-735-2559
ValueCountFrequency (%)
041-735-6314 1
 
1.2%
041-732-0037 1
 
1.2%
041-733-1994 1
 
1.2%
041-735-9200 1
 
1.2%
041-733-3206 1
 
1.2%
041-732-3757 1
 
1.2%
041-733-5800 1
 
1.2%
041-733-4825 1
 
1.2%
041-734-6113 1
 
1.2%
041-734-8001 1
 
1.2%
Other values (74) 74
88.1%
2024-01-10T07:41:01.638601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 168
16.7%
0 133
13.2%
3 133
13.2%
4 131
13.0%
1 114
11.3%
7 114
11.3%
5 55
 
5.5%
8 52
 
5.2%
2 42
 
4.2%
9 34
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 841
83.3%
Dash Punctuation 168
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
15.8%
3 133
15.8%
4 131
15.6%
1 114
13.6%
7 114
13.6%
5 55
6.5%
8 52
 
6.2%
2 42
 
5.0%
9 34
 
4.0%
6 33
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 168
16.7%
0 133
13.2%
3 133
13.2%
4 131
13.0%
1 114
11.3%
7 114
11.3%
5 55
 
5.5%
8 52
 
5.2%
2 42
 
4.2%
9 34
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 168
16.7%
0 133
13.2%
3 133
13.2%
4 131
13.0%
1 114
11.3%
7 114
11.3%
5 55
 
5.5%
8 52
 
5.2%
2 42
 
4.2%
9 34
 
3.4%

Correlations

2024-01-10T07:41:01.716386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동전화번호
업소구분1.0000.5211.000
행정동0.5211.0001.000
전화번호1.0001.0001.000
2024-01-10T07:41:01.787584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업소구분
행정동1.0000.389
업소구분0.3891.000
2024-01-10T07:41:01.853832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소구분행정동
업소구분1.0000.389
행정동0.3891.000

Missing values

2024-01-10T07:40:58.105431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:40:58.199963image/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
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 101호<NA>
11744230-2021-000022021-02-17공인중개사에버그린공인중개사사무소취암동충청남도 논산시 중앙로 313, 101호충청남도 논산시 취암동 508 101호<NA>
11844230-2021-000032021-03-09공인중개사아미공인중개사사무소연무읍충청남도 논산시 연무읍 연무로 192충청남도 논산시 연무읍 마산리 701-42<NA>
11944230-2021-000042021-06-18공인중개사노성부동산공인중개사사무소노성면충청남도 논산시 노성면 노성로 580충청남도 논산시 노성면 읍내리 84-8<NA>
12044230-2021-000052021-08-09공인중개사메가공인중개사사무소내동충청남도 논산시 중앙로 255, 1층 123호충청남도 논산시 내동 382-32 1층 123호<NA>
12144230-2021-000062021-08-30공인중개사논산더집공인중개사사무소취암동충청남도 논산시 시민로 414충청남도 논산시 취암동 579-7<NA>
12244230-2021-000072021-10-05공인중개사리벤하임공인중개사사무소내동충청남도 논산시 대학로65번길 46, 리벤하임아파트상가 102호충청남도 논산시 내동 1113 리벤하임아파트상가 102호<NA>
12344230-2021-000082021-12-02공인중개사예스민공인중개사내동충청남도 논산시 시민로194번길 24, 1층충청남도 논산시 내동 794 1층<NA>
12444230-2022-000012022-01-18공인중개사두리공인중개사취암동충청남도 논산시 중앙로 367, 102호충청남도 논산시 취암동 375 102호<NA>