Overview

Dataset statistics

Number of variables10
Number of observations113
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory82.2 B

Variable types

Numeric1
Text4
Categorical4
DateTime1

Dataset

Description홍성군내 부동산중개업소 현황으로 사무소명, 행정처분상태, 중개업소 종별, 직위 구분, 사무소 전화번호, 데이터 기준일등을 제공합니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=443&beforeMenuCd=DOM_000000201001001000&publicdatapk=3073640

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 (82.3%)Imbalance
중개업자구분 is highly imbalanced (82.3%)Imbalance
사무소전화번호 has 4 (3.5%) missing valuesMissing
연번 has unique valuesUnique
사무소명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:07:24.009956
Analysis finished2024-01-09 22:07:24.565601
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T07:07:24.625490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.6
Q129
median57
Q385
95-th percentile107.4
Maximum113
Range112
Interquartile range (IQR)56

Descriptive statistics

Standard deviation32.76431
Coefficient of variation (CV)0.57481245
Kurtosis-1.2
Mean57
Median Absolute Deviation (MAD)28
Skewness0
Sum6441
Variance1073.5
MonotonicityStrictly increasing
2024-01-10T07:07:24.735108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
86 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%

사무소명
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:07:24.910278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length11.159292
Min length9

Characters and Unicode

Total characters1261
Distinct characters155
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

Unique113 ?
Unique (%)100.0%

Sample

1st row대한공인중개사사무소
2nd row서부공인중개사사무소
3rd row땅지공인중개사사무소
4th row토지부동산컨설팅 중개인사무소
5th row내포사랑공인중개사사무소
ValueCountFrequency (%)
대한공인중개사사무소 1
 
0.9%
길공인중개사사무소 1
 
0.9%
내포114공인중개사사무소 1
 
0.9%
내포1번가센텀공인중개사사무소 1
 
0.9%
모아엘가다모공인중개사사무소 1
 
0.9%
신내포홍북공인중개사사무소 1
 
0.9%
모아엘가공인중개사사무소 1
 
0.9%
한인공인중개사사무소 1
 
0.9%
시골공인중개사사무소 1
 
0.9%
삼성공인중개사사무소 1
 
0.9%
Other values (104) 104
91.2%
2024-01-10T07:07:25.191255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 225
17.8%
소 114
 
9.0%
중 114
 
9.0%
인 113
 
9.0%
개 113
 
9.0%
무 113
 
9.0%
공 111
 
8.8%
부 17
 
1.3%
동 17
 
1.3%
포 17
 
1.3%
Other values (145) 307
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1239
98.3%
Decimal Number 13
 
1.0%
Uppercase Letter 8
 
0.6%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 225
18.2%
소 114
 
9.2%
중 114
 
9.2%
인 113
 
9.1%
개 113
 
9.1%
무 113
 
9.1%
공 111
 
9.0%
부 17
 
1.4%
동 17
 
1.4%
포 17
 
1.4%
Other values (134) 285
23.0%
Decimal Number
ValueCountFrequency (%)
1 7
53.8%
8 2
 
15.4%
0 2
 
15.4%
4 1
 
7.7%
9 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
37.5%
S 2
25.0%
M 1
 
12.5%
T 1
 
12.5%
O 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1239
98.3%
Common 14
 
1.1%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 225
18.2%
소 114
 
9.2%
중 114
 
9.2%
인 113
 
9.1%
개 113
 
9.1%
무 113
 
9.1%
공 111
 
9.0%
부 17
 
1.4%
동 17
 
1.4%
포 17
 
1.4%
Other values (134) 285
23.0%
Common
ValueCountFrequency (%)
1 7
50.0%
8 2
 
14.3%
0 2
 
14.3%
4 1
 
7.1%
1
 
7.1%
9 1
 
7.1%
Latin
ValueCountFrequency (%)
K 3
37.5%
S 2
25.0%
M 1
 
12.5%
T 1
 
12.5%
O 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1239
98.3%
ASCII 22
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 225
18.2%
소 114
 
9.2%
중 114
 
9.2%
인 113
 
9.1%
개 113
 
9.1%
무 113
 
9.1%
공 111
 
9.0%
부 17
 
1.4%
동 17
 
1.4%
포 17
 
1.4%
Other values (134) 285
23.0%
ASCII
ValueCountFrequency (%)
1 7
31.8%
K 3
13.6%
8 2
 
9.1%
S 2
 
9.1%
0 2
 
9.1%
4 1
 
4.5%
1
 
4.5%
M 1
 
4.5%
T 1
 
4.5%
O 1
 
4.5%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업중
113 

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 113
100.0%

Length

2024-01-10T07:07:25.295500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:25.363838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 113
100.0%

중개업소종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
공인중개사
110 
중개인
 
3

Length

Max length5
Median length5
Mean length4.9469027
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 110
97.3%
중개인 3
 
2.7%

Length

2024-01-10T07:07:25.441253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:25.521127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 110
97.3%
중개인 3
 
2.7%

중개업자명
Text

Distinct112
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:07:25.739146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters339
Distinct characters108
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

Unique111 ?
Unique (%)98.2%

Sample

1st row박선종
2nd row서정욱
3rd row윤영석
4th row신철순
5th row송민자
ValueCountFrequency (%)
이인희 2
 
1.8%
박선종 1
 
0.9%
심민경 1
 
0.9%
정혜원 1
 
0.9%
김응미 1
 
0.9%
이옥선 1
 
0.9%
강현식 1
 
0.9%
전진심 1
 
0.9%
맹오섭 1
 
0.9%
홍원기 1
 
0.9%
Other values (102) 102
90.3%
2024-01-10T07:07:26.079296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 22
 
6.5%
김 16
 
4.7%
정 14
 
4.1%
영 12
 
3.5%
경 8
 
2.4%
호 8
 
2.4%
윤 8
 
2.4%
수 7
 
2.1%
미 6
 
1.8%
진 6
 
1.8%
Other values (98) 232
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
6.5%
김 16
 
4.7%
정 14
 
4.1%
영 12
 
3.5%
경 8
 
2.4%
호 8
 
2.4%
윤 8
 
2.4%
수 7
 
2.1%
미 6
 
1.8%
진 6
 
1.8%
Other values (98) 232
68.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
6.5%
김 16
 
4.7%
정 14
 
4.1%
영 12
 
3.5%
경 8
 
2.4%
호 8
 
2.4%
윤 8
 
2.4%
수 7
 
2.1%
미 6
 
1.8%
진 6
 
1.8%
Other values (98) 232
68.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 22
 
6.5%
김 16
 
4.7%
정 14
 
4.1%
영 12
 
3.5%
경 8
 
2.4%
호 8
 
2.4%
윤 8
 
2.4%
수 7
 
2.1%
미 6
 
1.8%
진 6
 
1.8%
Other values (98) 232
68.4%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대표
113 

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 113
100.0%

Length

2024-01-10T07:07:26.184491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:26.252365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 113
100.0%

중개업자구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
개업 공인중개사
110 
중개인
 
3

Length

Max length8
Median length8
Mean length7.8672566
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 110
97.3%
중개인 3
 
2.7%

Length

2024-01-10T07:07:26.326149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:26.404255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개업 110
49.3%
공인중개사 110
49.3%
중개인 3
 
1.3%

사무소전화번호
Text

MISSING 

Distinct109
Distinct (%)100.0%
Missing4
Missing (%)3.5%
Memory size1.0 KiB
2024-01-10T07:07:26.598884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.183486
Min length12

Characters and Unicode

Total characters1328
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

Unique109 ?
Unique (%)100.0%

Sample

1st row041-641-1575
2nd row041-631-6133
3rd row041-641-9990
4th row041-633-8925
5th row0507-1409-1501
ValueCountFrequency (%)
041-634-5456 1
 
0.9%
041-631-9904 1
 
0.9%
041-641-1585 1
 
0.9%
041-631-4002 1
 
0.9%
041-634-9112 1
 
0.9%
0507-1401-7385 1
 
0.9%
041-635-9944 1
 
0.9%
041-631-8978 1
 
0.9%
041-631-9880 1
 
0.9%
041-632-4229 1
 
0.9%
Other values (99) 99
90.8%
2024-01-10T07:07:26.919310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 218
16.4%
0 200
15.1%
1 188
14.2%
4 180
13.6%
3 158
11.9%
6 121
9.1%
9 72
 
5.4%
5 67
 
5.0%
2 46
 
3.5%
8 44
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1110
83.6%
Dash Punctuation 218
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 200
18.0%
1 188
16.9%
4 180
16.2%
3 158
14.2%
6 121
10.9%
9 72
 
6.5%
5 67
 
6.0%
2 46
 
4.1%
8 44
 
4.0%
7 34
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 218
16.4%
0 200
15.1%
1 188
14.2%
4 180
13.6%
3 158
11.9%
6 121
9.1%
9 72
 
5.4%
5 67
 
5.0%
2 46
 
3.5%
8 44
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 218
16.4%
0 200
15.1%
1 188
14.2%
4 180
13.6%
3 158
11.9%
6 121
9.1%
9 72
 
5.4%
5 67
 
5.0%
2 46
 
3.5%
8 44
 
3.3%

사무소주소
Text

Distinct112
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T07:07:27.127084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length27.380531
Min length18

Characters and Unicode

Total characters3094
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

Unique111 ?
Unique (%)98.2%

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 홍북읍 의향로 263, 101호(세종의료빌딩)
ValueCountFrequency (%)
충청남도 113
 
17.1%
홍성군 113
 
17.1%
홍성읍 54
 
8.2%
홍북읍 43
 
6.5%
상가동 13
 
2.0%
충남대로 7
 
1.1%
의향로 7
 
1.1%
1층 6
 
0.9%
신대로 6
 
0.9%
도청대로 6
 
0.9%
Other values (187) 291
44.2%
2024-01-10T07:07:27.433536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
17.6%
홍 219
 
7.1%
성 170
 
5.5%
1 157
 
5.1%
청 134
 
4.3%
충 126
 
4.1%
남 126
 
4.1%
도 121
 
3.9%
군 113
 
3.7%
읍 103
 
3.3%
Other values (128) 1279
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1869
60.4%
Decimal Number 554
 
17.9%
Space Separator 546
 
17.6%
Other Punctuation 61
 
2.0%
Close Punctuation 26
 
0.8%
Open Punctuation 26
 
0.8%
Dash Punctuation 10
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 219
 
11.7%
성 170
 
9.1%
청 134
 
7.2%
충 126
 
6.7%
남 126
 
6.7%
도 121
 
6.5%
군 113
 
6.0%
읍 103
 
5.5%
로 103
 
5.5%
호 52
 
2.8%
Other values (111) 602
32.2%
Decimal Number
ValueCountFrequency (%)
1 157
28.3%
0 77
13.9%
2 62
 
11.2%
3 56
 
10.1%
5 42
 
7.6%
4 41
 
7.4%
6 36
 
6.5%
7 32
 
5.8%
8 26
 
4.7%
9 25
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1869
60.4%
Common 1223
39.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 219
 
11.7%
성 170
 
9.1%
청 134
 
7.2%
충 126
 
6.7%
남 126
 
6.7%
도 121
 
6.5%
군 113
 
6.0%
읍 103
 
5.5%
로 103
 
5.5%
호 52
 
2.8%
Other values (111) 602
32.2%
Common
ValueCountFrequency (%)
546
44.6%
1 157
 
12.8%
0 77
 
6.3%
2 62
 
5.1%
, 61
 
5.0%
3 56
 
4.6%
5 42
 
3.4%
4 41
 
3.4%
6 36
 
2.9%
7 32
 
2.6%
Other values (5) 113
 
9.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1869
60.4%
ASCII 1225
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
44.6%
1 157
 
12.8%
0 77
 
6.3%
2 62
 
5.1%
, 61
 
5.0%
3 56
 
4.6%
5 42
 
3.4%
4 41
 
3.3%
6 36
 
2.9%
7 32
 
2.6%
Other values (7) 115
 
9.4%
Hangul
ValueCountFrequency (%)
홍 219
 
11.7%
성 170
 
9.1%
청 134
 
7.2%
충 126
 
6.7%
남 126
 
6.7%
도 121
 
6.5%
군 113
 
6.0%
읍 103
 
5.5%
로 103
 
5.5%
호 52
 
2.8%
Other values (111) 602
32.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2024-01-10T07:07:27.527686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:07:27.596878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T07:07:24.326004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:07:27.650151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업소종별중개업자구분
연번1.0000.0000.000
중개업소종별0.0001.0000.963
중개업자구분0.0000.9631.000
2024-01-10T07:07:27.714657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업자구분중개업소종별
중개업자구분1.0000.827
중개업소종별0.8271.000
2024-01-10T07:07:27.778557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업소종별중개업자구분
연번1.0000.0000.000
중개업소종별0.0001.0000.827
중개업자구분0.0000.8271.000

Missing values

2024-01-10T07:07:24.411537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:07:24.522294image/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 3172022-09-30
12서부공인중개사사무소영업중공인중개사서정욱대표개업 공인중개사041-631-6133충청남도 홍성군 서부면 남당항로 7842022-09-30
23땅지공인중개사사무소영업중공인중개사윤영석대표개업 공인중개사041-641-9990충청남도 홍성군 광천읍 홍남로 6052022-09-30
34토지부동산컨설팅 중개인사무소영업중중개인신철순대표중개인041-633-8925충청남도 홍성군 갈산면 와룡로 4362022-09-30
45내포사랑공인중개사사무소영업중공인중개사송민자대표개업 공인중개사0507-1409-1501충청남도 홍성군 홍북읍 의향로 263, 101호(세종의료빌딩)2022-09-30
56OK삼성공인중개사사무소영업중공인중개사이우엽대표개업 공인중개사041-635-0202충청남도 홍성군 갈산면 갈산로 942022-09-30
67굿모닝공인중개사사무소영업중공인중개사윤경자대표개업 공인중개사041-631-8989충청남도 홍성군 홍성읍 의사로57번길 132022-09-30
78대신공인중개사사무소영업중공인중개사송재석대표개업 공인중개사041-631-7789충청남도 홍성군 홍성읍 충서로 15432022-09-30
89믿음공인중개사사무소영업중공인중개사김기현대표개업 공인중개사041-634-0064충청남도 홍성군 홍성읍 월산로30번길 26, 법문빌딩 1012022-09-30
910주공강남공인중개사사무소영업중공인중개사이재주대표개업 공인중개사0507-1400-8924충청남도 홍성군 홍성읍 문화로72번길 89, 1동 103호2022-09-30
연번사무소명행정처분상태중개업소종별중개업자명직위중개업자구분사무소전화번호사무소주소데이터기준일
103104신동공인중개사사무소영업중공인중개사신동철대표개업 공인중개사041-633-5858충청남도 홍성군 홍성읍 홍장북로 4192022-09-30
104105MK매경공인중개사사무소영업중공인중개사최진수대표개업 공인중개사041-634-9114충청남도 홍성군 홍북읍 애향9길 2, 102호2022-09-30
105106이창엽공인중개사사무소영업중공인중개사이창엽대표개업 공인중개사<NA>충청남도 홍성군 홍성읍 충서로 1294, 204호2022-09-30
106107상생공인중개사사무소영업중공인중개사김재범대표개업 공인중개사<NA>충청남도 홍성군 홍성읍 조양로 198, 1층2022-09-30
107108중흥킹공인중개사사무소영업중공인중개사이병렬대표개업 공인중개사041-634-2007충청남도 홍성군 홍북읍 자경로 17, 상가A동 106호2022-09-30
108109코오롱하늘채공인중개사사무소영업중공인중개사정구여대표개업 공인중개사041-633-3993충청남도 홍성군 홍성읍 문화로33번길 10, 103호2022-09-30
109110성심부동산공인중개사사무소영업중공인중개사이종두대표개업 공인중개사041-631-2579충청남도 홍성군 홍성읍 문화로176번길 12, 1층2022-09-30
110111해가뜨면공인중개사사무소영업중공인중개사허은지대표개업 공인중개사041-633-9639충청남도 홍성군 홍북읍 의향로 267, 118호2022-09-30
111112도청신도시공인중개사사무소영업중공인중개사이진욱대표개업 공인중개사041-632-3939충청남도 홍성군 홍성읍 온천로 32022-09-30
112113다복공인중개사사무소영업중공인중개사홍순호대표개업 공인중개사041-633-5966충청남도 홍성군 갈산면 갈산로 1182022-09-30