Overview

Dataset statistics

Number of variables10
Number of observations122
Missing cells12
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory82.1 B

Variable types

Numeric1
Text4
Categorical4
DateTime1

Dataset

Description홍성군내 부동산중개업소 현황으로 사무소명, 행정처분상태, 중개업소 종별, 직위 구분, 사무소 전화번호, 데이터 기준일등을 제공합니다
Author충청남도 홍성군
URLhttps://www.data.go.kr/data/3073640/fileData.do

Alerts

행정처분상태 has constant value ""Constant
직위 has constant value ""Constant
데이터기준일 has constant value ""Constant
중개업소종별 is highly overall correlated with 중개업자구분High correlation
중개업자구분 is highly overall correlated with 중개업소종별High correlation
중개업소종별 is highly imbalanced (83.4%)Imbalance
중개업자구분 is highly imbalanced (83.4%)Imbalance
사무소전화번호 has 12 (9.8%) missing valuesMissing
연번 has unique valuesUnique
사무소명 has unique valuesUnique
중개업자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:22:54.000884
Analysis finished2023-12-12 09:22:55.307736
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.5
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T18:22:55.398280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.05
Q131.25
median61.5
Q391.75
95-th percentile115.95
Maximum122
Range121
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation35.362409
Coefficient of variation (CV)0.57499853
Kurtosis-1.2
Mean61.5
Median Absolute Deviation (MAD)30.5
Skewness0
Sum7503
Variance1250.5
MonotonicityStrictly increasing
2023-12-12T18:22:55.604454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
93 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%

사무소명
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:22:55.962781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15.5
Mean length11.172131
Min length9

Characters and Unicode

Total characters1363
Distinct characters166
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

Unique122 ?
Unique (%)100.0%

Sample

1st row대한공인중개사사무소
2nd row서부공인중개사사무소
3rd row땅지공인중개사사무소
4th row토지부동산컨설팅 중개인사무소
5th rowOK삼성공인중개사사무소
ValueCountFrequency (%)
대한공인중개사사무소 1
 
0.8%
일굼공인중개사사무소 1
 
0.8%
부동산이야기공인중개사사무소 1
 
0.8%
엘가공인중개사사무소 1
 
0.8%
ts공인중개사사무소 1
 
0.8%
88공인중개사사무소 1
 
0.8%
서광공인중개사사무소 1
 
0.8%
홍주공인중개사사무소 1
 
0.8%
천년공인중개사사무소 1
 
0.8%
드림공인중개사사무소 1
 
0.8%
Other values (113) 113
91.9%
2023-12-12T18:22:56.532179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 241
17.7%
소 124
 
9.1%
중 124
 
9.1%
개 122
 
9.0%
무 122
 
9.0%
인 121
 
8.9%
공 119
 
8.7%
부 19
 
1.4%
동 19
 
1.4%
내 17
 
1.2%
Other values (156) 335
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1338
98.2%
Decimal Number 13
 
1.0%
Uppercase Letter 11
 
0.8%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 241
18.0%
소 124
 
9.3%
중 124
 
9.3%
개 122
 
9.1%
무 122
 
9.1%
인 121
 
9.0%
공 119
 
8.9%
부 19
 
1.4%
동 19
 
1.4%
내 17
 
1.3%
Other values (142) 310
23.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
K 3
27.3%
T 1
 
9.1%
M 1
 
9.1%
P 1
 
9.1%
J 1
 
9.1%
O 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
0 2
 
15.4%
8 2
 
15.4%
2 1
 
7.7%
4 1
 
7.7%
9 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1338
98.2%
Common 14
 
1.0%
Latin 11
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 241
18.0%
소 124
 
9.3%
중 124
 
9.3%
개 122
 
9.1%
무 122
 
9.1%
인 121
 
9.0%
공 119
 
8.9%
부 19
 
1.4%
동 19
 
1.4%
내 17
 
1.3%
Other values (142) 310
23.2%
Common
ValueCountFrequency (%)
1 6
42.9%
0 2
 
14.3%
8 2
 
14.3%
2 1
 
7.1%
4 1
 
7.1%
9 1
 
7.1%
1
 
7.1%
Latin
ValueCountFrequency (%)
S 3
27.3%
K 3
27.3%
T 1
 
9.1%
M 1
 
9.1%
P 1
 
9.1%
J 1
 
9.1%
O 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1338
98.2%
ASCII 25
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 241
18.0%
소 124
 
9.3%
중 124
 
9.3%
개 122
 
9.1%
무 122
 
9.1%
인 121
 
9.0%
공 119
 
8.9%
부 19
 
1.4%
동 19
 
1.4%
내 17
 
1.3%
Other values (142) 310
23.2%
ASCII
ValueCountFrequency (%)
1 6
24.0%
S 3
12.0%
K 3
12.0%
0 2
 
8.0%
8 2
 
8.0%
T 1
 
4.0%
M 1
 
4.0%
2 1
 
4.0%
P 1
 
4.0%
J 1
 
4.0%
Other values (4) 4
16.0%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
122 

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 122
100.0%

Length

2023-12-12T18:22:56.711343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:22:56.815801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 122
100.0%

중개업소종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공인중개사
119 
중개인
 
3

Length

Max length5
Median length5
Mean length4.9508197
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 119
97.5%
중개인 3
 
2.5%

Length

2023-12-12T18:22:56.957621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:22:57.086263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 119
97.5%
중개인 3
 
2.5%

중개업자명
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:22:57.442869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters366
Distinct characters114
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

Unique122 ?
Unique (%)100.0%

Sample

1st row박선종
2nd row서정욱
3rd row윤영석
4th row신철순
5th row이우엽
ValueCountFrequency (%)
박선종 1
 
0.8%
이미순 1
 
0.8%
신명희 1
 
0.8%
김창길 1
 
0.8%
우승희 1
 
0.8%
윤병현 1
 
0.8%
김진화 1
 
0.8%
백영해 1
 
0.8%
노완호 1
 
0.8%
이찬수 1
 
0.8%
Other values (112) 112
91.8%
2023-12-12T18:22:57.983328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 22
 
6.0%
김 21
 
5.7%
영 15
 
4.1%
정 14
 
3.8%
윤 9
 
2.5%
호 9
 
2.5%
경 8
 
2.2%
박 7
 
1.9%
수 7
 
1.9%
현 7
 
1.9%
Other values (104) 247
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
6.0%
김 21
 
5.7%
영 15
 
4.1%
정 14
 
3.8%
윤 9
 
2.5%
호 9
 
2.5%
경 8
 
2.2%
박 7
 
1.9%
수 7
 
1.9%
현 7
 
1.9%
Other values (104) 247
67.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
6.0%
김 21
 
5.7%
영 15
 
4.1%
정 14
 
3.8%
윤 9
 
2.5%
호 9
 
2.5%
경 8
 
2.2%
박 7
 
1.9%
수 7
 
1.9%
현 7
 
1.9%
Other values (104) 247
67.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 22
 
6.0%
김 21
 
5.7%
영 15
 
4.1%
정 14
 
3.8%
윤 9
 
2.5%
호 9
 
2.5%
경 8
 
2.2%
박 7
 
1.9%
수 7
 
1.9%
현 7
 
1.9%
Other values (104) 247
67.5%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대표
122 

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 122
100.0%

Length

2023-12-12T18:22:58.145205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:22:58.245122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 122
100.0%

중개업자구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
개업 공인중개사
119 
중개인
 
3

Length

Max length8
Median length8
Mean length7.8770492
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개업 공인중개사 119
97.5%
중개인 3
 
2.5%

Length

2023-12-12T18:22:58.368022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:22:58.488241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개업 119
49.4%
공인중개사 119
49.4%
중개인 3
 
1.2%

사무소전화번호
Text

MISSING 

Distinct109
Distinct (%)99.1%
Missing12
Missing (%)9.8%
Memory size1.1 KiB
2023-12-12T18:22:58.726553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.145455
Min length12

Characters and Unicode

Total characters1336
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

Unique108 ?
Unique (%)98.2%

Sample

1st row041-641-1575
2nd row041-631-6133
3rd row041-641-9990
4th row041-633-8925
5th row041-635-0202
ValueCountFrequency (%)
041-633-8945 2
 
1.8%
041-632-4911 1
 
0.9%
041-641-1575 1
 
0.9%
041-642-0055 1
 
0.9%
041-632-6678 1
 
0.9%
041-631-9904 1
 
0.9%
041-631-4565 1
 
0.9%
041-635-0999 1
 
0.9%
0507-1398-1114 1
 
0.9%
041-631-4002 1
 
0.9%
Other values (99) 99
90.0%
2023-12-12T18:22:59.228719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 220
16.5%
0 196
14.7%
4 185
13.8%
1 185
13.8%
3 163
12.2%
6 124
9.3%
9 68
 
5.1%
5 62
 
4.6%
2 49
 
3.7%
8 47
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1116
83.5%
Dash Punctuation 220
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
17.6%
4 185
16.6%
1 185
16.6%
3 163
14.6%
6 124
11.1%
9 68
 
6.1%
5 62
 
5.6%
2 49
 
4.4%
8 47
 
4.2%
7 37
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 220
16.5%
0 196
14.7%
4 185
13.8%
1 185
13.8%
3 163
12.2%
6 124
9.3%
9 68
 
5.1%
5 62
 
4.6%
2 49
 
3.7%
8 47
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 220
16.5%
0 196
14.7%
4 185
13.8%
1 185
13.8%
3 163
12.2%
6 124
9.3%
9 68
 
5.1%
5 62
 
4.6%
2 49
 
3.7%
8 47
 
3.5%

사무소주소
Text

Distinct120
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:22:59.541901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36.5
Mean length26.942623
Min length19

Characters and Unicode

Total characters3287
Distinct characters138
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)96.7%

Sample

1st row충청남도 홍성군 광천읍 광천로 317
2nd row충청남도 홍성군 서부면 남당항로 784
3rd row충청남도 홍성군 광천읍 홍남로 605
4th row충청남도 홍성군 갈산면 와룡로 436
5th row충청남도 홍성군 갈산면 갈산로 94
ValueCountFrequency (%)
충청남도 122
17.8%
홍성군 122
17.8%
홍성읍 55
 
8.0%
홍북읍 52
 
7.6%
상가동 11
 
1.6%
충남대로 7
 
1.0%
도청대로 6
 
0.9%
광천읍 6
 
0.9%
10 5
 
0.7%
의향로 5
 
0.7%
Other values (196) 296
43.1%
2023-12-12T18:23:00.053076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565
17.2%
홍 239
 
7.3%
성 179
 
5.4%
1 176
 
5.4%
청 143
 
4.4%
남 137
 
4.2%
충 136
 
4.1%
도 131
 
4.0%
군 122
 
3.7%
읍 113
 
3.4%
Other values (128) 1346
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1991
60.6%
Decimal Number 602
 
18.3%
Space Separator 565
 
17.2%
Other Punctuation 68
 
2.1%
Close Punctuation 21
 
0.6%
Open Punctuation 21
 
0.6%
Dash Punctuation 12
 
0.4%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 239
 
12.0%
성 179
 
9.0%
청 143
 
7.2%
남 137
 
6.9%
충 136
 
6.8%
도 131
 
6.6%
군 122
 
6.1%
읍 113
 
5.7%
로 111
 
5.6%
호 61
 
3.1%
Other values (111) 619
31.1%
Decimal Number
ValueCountFrequency (%)
1 176
29.2%
0 85
14.1%
2 68
 
11.3%
3 56
 
9.3%
5 45
 
7.5%
4 40
 
6.6%
6 40
 
6.6%
7 34
 
5.6%
8 33
 
5.5%
9 25
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%
Space Separator
ValueCountFrequency (%)
565
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1991
60.6%
Common 1289
39.2%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 239
 
12.0%
성 179
 
9.0%
청 143
 
7.2%
남 137
 
6.9%
충 136
 
6.8%
도 131
 
6.6%
군 122
 
6.1%
읍 113
 
5.7%
로 111
 
5.6%
호 61
 
3.1%
Other values (111) 619
31.1%
Common
ValueCountFrequency (%)
565
43.8%
1 176
 
13.7%
0 85
 
6.6%
2 68
 
5.3%
, 68
 
5.3%
3 56
 
4.3%
5 45
 
3.5%
4 40
 
3.1%
6 40
 
3.1%
7 34
 
2.6%
Other values (5) 112
 
8.7%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1991
60.6%
ASCII 1296
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
565
43.6%
1 176
 
13.6%
0 85
 
6.6%
2 68
 
5.2%
, 68
 
5.2%
3 56
 
4.3%
5 45
 
3.5%
4 40
 
3.1%
6 40
 
3.1%
7 34
 
2.6%
Other values (7) 119
 
9.2%
Hangul
ValueCountFrequency (%)
홍 239
 
12.0%
성 179
 
9.0%
청 143
 
7.2%
남 137
 
6.9%
충 136
 
6.8%
도 131
 
6.6%
군 122
 
6.1%
읍 113
 
5.7%
로 111
 
5.6%
호 61
 
3.1%
Other values (111) 619
31.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-09-27 00:00:00
Maximum2023-09-27 00:00:00
2023-12-12T18:23:00.211975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:00.342368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:22:54.443413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:23:00.427484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업소종별중개업자구분
연번1.0000.0000.000
중개업소종별0.0001.0000.964
중개업자구분0.0000.9641.000
2023-12-12T18:23:00.522707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업소종별중개업자구분
중개업소종별1.0000.828
중개업자구분0.8281.000
2023-12-12T18:23:00.609162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업소종별중개업자구분
연번1.0000.0000.000
중개업소종별0.0001.0000.828
중개업자구분0.0000.8281.000

Missing values

2023-12-12T18:22:54.965673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:22:55.210774image/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

연번사무소명행정처분상태중개업소종별중개업자명직위중개업자구분사무소전화번호사무소주소데이터기준일
01대한공인중개사사무소영업중공인중개사박선종대표개업 공인중개사041-641-1575충청남도 홍성군 광천읍 광천로 3172023-09-27
12서부공인중개사사무소영업중공인중개사서정욱대표개업 공인중개사041-631-6133충청남도 홍성군 서부면 남당항로 7842023-09-27
23땅지공인중개사사무소영업중공인중개사윤영석대표개업 공인중개사041-641-9990충청남도 홍성군 광천읍 홍남로 6052023-09-27
34토지부동산컨설팅 중개인사무소영업중중개인신철순대표중개인041-633-8925충청남도 홍성군 갈산면 와룡로 4362023-09-27
45OK삼성공인중개사사무소영업중공인중개사이우엽대표개업 공인중개사041-635-0202충청남도 홍성군 갈산면 갈산로 942023-09-27
56굿모닝공인중개사사무소영업중공인중개사윤경자대표개업 공인중개사041-631-8989충청남도 홍성군 홍성읍 의사로57번길 132023-09-27
67대신공인중개사사무소영업중공인중개사송재석대표개업 공인중개사041-631-7789충청남도 홍성군 홍북읍 내용길 1582023-09-27
78믿음공인중개사사무소영업중공인중개사김기현대표개업 공인중개사041-634-0064충청남도 홍성군 홍성읍 월산로30번길 26, 법문빌딩 1012023-09-27
89주공강남공인중개사사무소영업중공인중개사이재주대표개업 공인중개사0507-1400-8924충청남도 홍성군 홍성읍 문화로72번길 89, 1동 103호2023-09-27
910종합공인중개사사무소영업중공인중개사홍승호대표개업 공인중개사0507-1307-4942충청남도 홍성군 홍성읍 문화로 1112023-09-27
연번사무소명행정처분상태중개업소종별중개업자명직위중개업자구분사무소전화번호사무소주소데이터기준일
112113중원부동산중개사무소영업중공인중개사이한영대표개업 공인중개사041-631-3971충청남도 홍성군 홍성읍 법원로47, 501호2023-09-27
113114신동아공인중개사사무소영업중공인중개사길박섭대표개업 공인중개사041-633-5330충청남도 홍성군 홍성읍 충절로953번길20, 주상가동B06호2023-09-27
114115내포대인공인중개사사무소영업중공인중개사고영교대표개업 공인중개사041-634-1480충청남도 홍성군 홍성읍 도청대로142023-09-27
115116대방엘리움공인중개사사무소영업중공인중개사윤대희대표개업 공인중개사<NA>충청남도 홍성군 홍북읍 자경로18, 단지내상가106호2023-09-27
116117대방이루다공인중개사사무소영업중공인중개사김복례대표개업 공인중개사041-632-8945충청남도 홍성군 홍북읍 자경로18, 단지내상가B112호2023-09-27
117118새롬공인중개사사무소영업중공인중개사김새롬대표개업 공인중개사041-632-0700충청남도 홍성군 홍북읍 자경로18, 121동 상가B동116호2023-09-27
118119내포탑공인중개사사무소영업중공인중개사박홍근대표개업 공인중개사<NA>충청남도 홍성군 홍북읍 자경로17, 상가A동 116-2호2023-09-27
119120대방리더공인중개사사무소영업중공인중개사김유진대표개업 공인중개사041-633-4605충청남도 홍성군 홍북읍 자경로18, 단지내상가B105호2023-09-27
120121누리공인중개사사무소영업중공인중개사유희성대표개업 공인중개사<NA>충청남도 홍성군 홍성읍 의사로36번길 152023-09-27
121122내포사랑공인중개사사무소영업중공인중개사송민자대표개업 공인중개사041-634-8333충청남도 홍성군 홍북읍 충남대로36, 116호2023-09-27