Overview

Dataset statistics

Number of variables8
Number of observations273
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory66.5 B

Variable types

Text4
Categorical1
Numeric2
DateTime1

Dataset

Description서산시에서 허가된 부동산중개업소 현황에 대한 데이터로, 사업자상호, 소재지 도로명 주소, 중개업자명, 전화번호 등의 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=451&beforeMenuCd=DOM_000000201001001000&publicdatapk=15000665

Alerts

운영상태 has constant value ""Constant
데이터기준일 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:41:06.567339
Analysis finished2024-01-09 21:41:07.501401
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:41:07.665629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length7.010989
Min length1

Characters and Unicode

Total characters1914
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

Unique273 ?
Unique (%)100.0%

Sample

1st row1
2nd row5
3rd row7
4th row8
5th row9
ValueCountFrequency (%)
1 1
 
0.4%
942 1
 
0.4%
934 1
 
0.4%
936 1
 
0.4%
938 1
 
0.4%
939 1
 
0.4%
941 1
 
0.4%
871 1
 
0.4%
945 1
 
0.4%
943 1
 
0.4%
Other values (263) 263
96.3%
2024-01-10T06:41:07.996639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 492
25.7%
1 257
13.4%
2 246
12.9%
4 237
12.4%
- 174
 
9.1%
6 102
 
5.3%
5 92
 
4.8%
7 86
 
4.5%
8 79
 
4.1%
3 76
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1740
90.9%
Dash Punctuation 174
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 492
28.3%
1 257
14.8%
2 246
14.1%
4 237
13.6%
6 102
 
5.9%
5 92
 
5.3%
7 86
 
4.9%
8 79
 
4.5%
3 76
 
4.4%
9 73
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 492
25.7%
1 257
13.4%
2 246
12.9%
4 237
12.4%
- 174
 
9.1%
6 102
 
5.3%
5 92
 
4.8%
7 86
 
4.5%
8 79
 
4.1%
3 76
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 492
25.7%
1 257
13.4%
2 246
12.9%
4 237
12.4%
- 174
 
9.1%
6 102
 
5.3%
5 92
 
4.8%
7 86
 
4.5%
8 79
 
4.1%
3 76
 
4.0%

명칭
Text

Distinct272
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:41:08.180797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.117216
Min length9

Characters and Unicode

Total characters3035
Distinct characters235
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)99.3%

Sample

1st row양지부동산중개인사무소
2nd row황금부동산중개인사무소
3rd row성지부동산중개인사무소
4th row극동부동산중개인사무소
5th row서해부동산중개인사무소
ValueCountFrequency (%)
대명공인중개사사무소 2
 
0.7%
부동산중개인사무소 2
 
0.7%
공인중개사사무소 2
 
0.7%
정평공인중개사사무소 1
 
0.4%
맥공인중개사사무소 1
 
0.4%
신대산공인중개사사무소 1
 
0.4%
오로라공인중개사사무소 1
 
0.4%
이안부동산공인중개사사무소 1
 
0.4%
드림공인중개사사무소 1
 
0.4%
오름공인중개사사무소 1
 
0.4%
Other values (266) 266
95.3%
2024-01-10T06:41:08.460281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 522
17.2%
중 278
 
9.2%
소 274
 
9.0%
개 273
 
9.0%
무 273
 
9.0%
인 271
 
8.9%
공 248
 
8.2%
산 69
 
2.3%
동 57
 
1.9%
부 50
 
1.6%
Other values (225) 720
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3014
99.3%
Uppercase Letter 11
 
0.4%
Space Separator 6
 
0.2%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 522
17.3%
중 278
 
9.2%
소 274
 
9.1%
개 273
 
9.1%
무 273
 
9.1%
인 271
 
9.0%
공 248
 
8.2%
산 69
 
2.3%
동 57
 
1.9%
부 50
 
1.7%
Other values (217) 699
23.2%
Uppercase Letter
ValueCountFrequency (%)
K 5
45.5%
O 3
27.3%
S 1
 
9.1%
I 1
 
9.1%
M 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3014
99.3%
Latin 14
 
0.5%
Common 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 522
17.3%
중 278
 
9.2%
소 274
 
9.1%
개 273
 
9.1%
무 273
 
9.1%
인 271
 
9.0%
공 248
 
8.2%
산 69
 
2.3%
동 57
 
1.9%
부 50
 
1.7%
Other values (217) 699
23.2%
Latin
ValueCountFrequency (%)
K 5
35.7%
e 3
21.4%
O 3
21.4%
S 1
 
7.1%
I 1
 
7.1%
M 1
 
7.1%
Common
ValueCountFrequency (%)
6
85.7%
- 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3014
99.3%
ASCII 21
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 522
17.3%
중 278
 
9.2%
소 274
 
9.1%
개 273
 
9.1%
무 273
 
9.1%
인 271
 
9.0%
공 248
 
8.2%
산 69
 
2.3%
동 57
 
1.9%
부 50
 
1.7%
Other values (217) 699
23.2%
ASCII
ValueCountFrequency (%)
6
28.6%
K 5
23.8%
e 3
14.3%
O 3
14.3%
- 1
 
4.8%
S 1
 
4.8%
I 1
 
4.8%
M 1
 
4.8%

영업장 주소
Text

Distinct248
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:41:08.702572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length24.978022
Min length19

Characters and Unicode

Total characters6819
Distinct characters147
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

Unique224 ?
Unique (%)82.1%

Sample

1st row충청남도 서산시 대산읍 충의로 2055
2nd row충청남도 서산시 대사동5로 9 (동문동)
3rd row충청남도 서산시 대산읍 탑골1길 13
4th row충청남도 서산시 대산읍 구진로 8
5th row충청남도 서산시 대산읍 삼길포1로 41
ValueCountFrequency (%)
충청남도 273
 
18.3%
서산시 273
 
18.3%
동문동 51
 
3.4%
예천동 35
 
2.3%
상가동 28
 
1.9%
읍내동 27
 
1.8%
대산읍 27
 
1.8%
고운로 26
 
1.7%
석림동 26
 
1.7%
안견로 19
 
1.3%
Other values (335) 707
47.4%
2024-01-10T06:41:09.043439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1283
18.8%
서 317
 
4.6%
산 316
 
4.6%
남 300
 
4.4%
동 294
 
4.3%
충 292
 
4.3%
1 288
 
4.2%
시 280
 
4.1%
도 275
 
4.0%
청 273
 
4.0%
Other values (137) 2901
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3997
58.6%
Space Separator 1283
 
18.8%
Decimal Number 1091
 
16.0%
Close Punctuation 187
 
2.7%
Open Punctuation 187
 
2.7%
Dash Punctuation 43
 
0.6%
Other Punctuation 30
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 317
 
7.9%
산 316
 
7.9%
남 300
 
7.5%
동 294
 
7.4%
충 292
 
7.3%
시 280
 
7.0%
도 275
 
6.9%
청 273
 
6.8%
로 255
 
6.4%
호 80
 
2.0%
Other values (120) 1315
32.9%
Decimal Number
ValueCountFrequency (%)
1 288
26.4%
2 154
14.1%
3 135
12.4%
0 110
 
10.1%
6 83
 
7.6%
4 73
 
6.7%
5 72
 
6.6%
7 68
 
6.2%
8 58
 
5.3%
9 50
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 29
96.7%
. 1
 
3.3%
Space Separator
ValueCountFrequency (%)
1283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3997
58.6%
Common 2821
41.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 317
 
7.9%
산 316
 
7.9%
남 300
 
7.5%
동 294
 
7.4%
충 292
 
7.3%
시 280
 
7.0%
도 275
 
6.9%
청 273
 
6.8%
로 255
 
6.4%
호 80
 
2.0%
Other values (120) 1315
32.9%
Common
ValueCountFrequency (%)
1283
45.5%
1 288
 
10.2%
) 187
 
6.6%
( 187
 
6.6%
2 154
 
5.5%
3 135
 
4.8%
0 110
 
3.9%
6 83
 
2.9%
4 73
 
2.6%
5 72
 
2.6%
Other values (6) 249
 
8.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3997
58.6%
ASCII 2822
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1283
45.5%
1 288
 
10.2%
) 187
 
6.6%
( 187
 
6.6%
2 154
 
5.5%
3 135
 
4.8%
0 110
 
3.9%
6 83
 
2.9%
4 73
 
2.6%
5 72
 
2.6%
Other values (7) 250
 
8.9%
Hangul
ValueCountFrequency (%)
서 317
 
7.9%
산 316
 
7.9%
남 300
 
7.5%
동 294
 
7.4%
충 292
 
7.3%
시 280
 
7.0%
도 275
 
6.9%
청 273
 
6.8%
로 255
 
6.4%
호 80
 
2.0%
Other values (120) 1315
32.9%

전화번호
Text

Distinct243
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:41:09.219908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length10.85348
Min length1

Characters and Unicode

Total characters2963
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

Unique242 ?
Unique (%)88.6%

Sample

1st row041-663-9595
2nd row041-681-6936
3rd row041-681-8580
4th row041-681-9998
5th row041-663-7177
ValueCountFrequency (%)
31
 
11.3%
041-666-0020 1
 
0.4%
041-664-0102 1
 
0.4%
041-688-4982 1
 
0.4%
041-663-9877 1
 
0.4%
041-666-0085 1
 
0.4%
041-666-0029 1
 
0.4%
041-668-0450 1
 
0.4%
041-668-8944 1
 
0.4%
041-663-9400 1
 
0.4%
Other values (235) 235
85.5%
2024-01-10T06:41:09.480505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 534
18.0%
- 519
17.5%
0 403
13.6%
4 400
13.5%
1 356
12.0%
8 207
 
7.0%
9 141
 
4.8%
7 107
 
3.6%
5 102
 
3.4%
2 97
 
3.3%
Other values (3) 97
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2440
82.3%
Dash Punctuation 519
 
17.5%
Other Punctuation 2
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 534
21.9%
0 403
16.5%
4 400
16.4%
1 356
14.6%
8 207
 
8.5%
9 141
 
5.8%
7 107
 
4.4%
5 102
 
4.2%
2 97
 
4.0%
3 93
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 519
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2963
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 534
18.0%
- 519
17.5%
0 403
13.6%
4 400
13.5%
1 356
12.0%
8 207
 
7.0%
9 141
 
4.8%
7 107
 
3.6%
5 102
 
3.4%
2 97
 
3.3%
Other values (3) 97
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 534
18.0%
- 519
17.5%
0 403
13.6%
4 400
13.5%
1 356
12.0%
8 207
 
7.0%
9 141
 
4.8%
7 107
 
3.6%
5 102
 
3.4%
2 97
 
3.3%
Other values (3) 97
 
3.3%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
273 

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 273
100.0%

Length

2024-01-10T06:41:09.589920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:09.657578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 273
100.0%

위도(WGS84좌표)
Real number (ℝ)

Distinct265
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.792408
Minimum36.001494
Maximum36.989433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:09.745159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.001494
5-th percentile36.713802
Q136.771475
median36.779903
Q336.788215
95-th percentile36.938535
Maximum36.989433
Range0.987939
Interquartile range (IQR)0.01674

Descriptive statistics

Standard deviation0.074421175
Coefficient of variation (CV)0.0020227319
Kurtosis47.011842
Mean36.792408
Median Absolute Deviation (MAD)0.008377
Skewness-3.6981124
Sum10044.327
Variance0.0055385113
MonotonicityNot monotonic
2024-01-10T06:41:09.859157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.777116 2
 
0.7%
36.772996 2
 
0.7%
36.989433 2
 
0.7%
36.791053 2
 
0.7%
36.770711 2
 
0.7%
36.811051 2
 
0.7%
36.937971 2
 
0.7%
36.784109 2
 
0.7%
36.780439 1
 
0.4%
36.785374 1
 
0.4%
Other values (255) 255
93.4%
ValueCountFrequency (%)
36.001494 1
0.4%
36.627105 1
0.4%
36.664743 1
0.4%
36.689416 1
0.4%
36.690226 1
0.4%
36.701994 1
0.4%
36.70769 1
0.4%
36.708674 1
0.4%
36.709282 1
0.4%
36.711783 1
0.4%
ValueCountFrequency (%)
36.989433 2
0.7%
36.969515 1
0.4%
36.967202 1
0.4%
36.947598 1
0.4%
36.946676 1
0.4%
36.94412 1
0.4%
36.940553 1
0.4%
36.940276 1
0.4%
36.939597 1
0.4%
36.939233 1
0.4%

경도(WGS84좌표)
Real number (ℝ)

Distinct268
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1803.3783
Minimum126.35714
Maximum457925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-01-10T06:41:09.965625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.35714
5-th percentile126.42764
Q1126.44605
median126.45448
Q3126.46422
95-th percentile126.54452
Maximum457925
Range457798.64
Interquartile range (IQR)0.01817

Descriptive statistics

Standard deviation27707.228
Coefficient of variation (CV)15.364069
Kurtosis273
Mean1803.3783
Median Absolute Deviation (MAD)0.008948
Skewness16.522712
Sum492322.27
Variance7.6769049 × 108
MonotonicityNot monotonic
2024-01-10T06:41:10.066587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.43722 2
 
0.7%
126.43093 2
 
0.7%
126.463192 2
 
0.7%
126.459207 2
 
0.7%
126.433943 2
 
0.7%
126.443335 1
 
0.4%
126.427772 1
 
0.4%
126.442096 1
 
0.4%
126.455892 1
 
0.4%
126.463378 1
 
0.4%
Other values (258) 258
94.5%
ValueCountFrequency (%)
126.357144 1
0.4%
126.373331 1
0.4%
126.39662 1
0.4%
126.411907 1
0.4%
126.419004 1
0.4%
126.423147 1
0.4%
126.42603 1
0.4%
126.426651 1
0.4%
126.426814 1
0.4%
126.426946 1
0.4%
ValueCountFrequency (%)
457925.0 1
0.4%
126.581462 1
0.4%
126.581051 1
0.4%
126.581044 1
0.4%
126.580662 1
0.4%
126.579304 1
0.4%
126.576243 1
0.4%
126.57616 1
0.4%
126.565902 1
0.4%
126.551724 1
0.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2017-04-05 00:00:00
Maximum2017-04-05 00:00:00
2024-01-10T06:41:10.152009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:10.218757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:41:07.221987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:06.872411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:07.283898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:06.942155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:41:10.267758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도(WGS84좌표)경도(WGS84좌표)
위도(WGS84좌표)1.0000.000
경도(WGS84좌표)0.0001.000
2024-01-10T06:41:10.331102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도(WGS84좌표)경도(WGS84좌표)
위도(WGS84좌표)1.000-0.204
경도(WGS84좌표)-0.2041.000

Missing values

2024-01-10T06:41:07.365758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:41:07.461418image/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

등록번호명칭영업장 주소전화번호운영상태위도(WGS84좌표)경도(WGS84좌표)데이터기준일
01양지부동산중개인사무소충청남도 서산시 대산읍 충의로 2055041-663-9595영업중36.946676126.4274422017-04-05
15황금부동산중개인사무소충청남도 서산시 대사동5로 9 (동문동)041-681-6936영업중36.784251126.4578162017-04-05
27성지부동산중개인사무소충청남도 서산시 대산읍 탑골1길 13041-681-8580영업중36.935761126.4354382017-04-05
38극동부동산중개인사무소충청남도 서산시 대산읍 구진로 8041-681-9998영업중36.936286126.4358582017-04-05
49서해부동산중개인사무소충청남도 서산시 대산읍 삼길포1로 41041-663-7177영업중36.001494126.4521982017-04-05
512진영부동산중개인사무소충청남도 서산시 해미면 읍성마을2길 4041-688-2647영업중36.711791126.5444352017-04-05
615로타리부동산중개사무소충청남도 서산시 해미면 내포로 2478041-688-8383영업중36.701994126.5439522017-04-05
719팔구사부동산중개인사무소충청남도 서산시 고운로 298 (잠홍동)041-668-8940영업중36.78401126.4684832017-04-05
822도당부동산중개인사무소충청남도 서산시 음암면 도당가금말길 35041-664-2048영업중36.78828126.5071692017-04-05
923중앙부동산중개인사무소충청남도 서산시 해미면 한티로 10041-688-8808영업중36.70769126.5517242017-04-05
등록번호명칭영업장 주소전화번호운영상태위도(WGS84좌표)경도(WGS84좌표)데이터기준일
26344210-2017-00011샘물공인중개사사무소충청남도 서산시 서해로 3577 101호 (잠홍동)041-664-0202영업중36.781532126.4701632017-04-05
26444210-2017-00012서산하나로공인중개사사무소충청남도 서산시 동서1로 146 (석남동)041-663-1116영업중36.766672126.4551242017-04-05
26544210-2017-00013서산중흥공인중개사사무소충청남도 서산시 율지8로 82 (동문동)041-664-7977영업중36.778199126.4665872017-04-05
26644210-2017-00014현대테크노공인중개사사무소충청남도 서산시 성연면 성연3로 36 상가1동 102호-영업중36.824234126.4508042017-04-05
26744210-2017-00015장숭백이부동산공인중개사사무소충청남도 서산시 고운로 290 (동문동)041-666-0006, 041-666-2266영업중36.78403126.4676222017-04-05
26844210-2017-00016부동산일번지공인중개사사무소충청남도 서산시 남부순환로 772 (양대동)041-664-5342영업중36.745717126.4489022017-04-05
26944210-2017-00017알찬공인중개사사무소충청남도 서산시 대산읍 정자동2로 25041-662-8879, 041-665-8911영업중36.939218126.4274352017-04-05
27044210-2017-00018이성희공인중개사사무소충청남도 서산시 한마음16로 32 (석림동)-영업중36.773554126.4578582017-04-05
27144210-2017-00019OK김정호공인중개사사무소충청남도 서산시 대산읍 정자동2로 13041-665-0012영업중36.939597126.4289042017-04-05
27244210-2017-00020오병이어공인중개사사무소충청남도 서산시 충의로 39 상가동, 101호 (예천동, 현대아파트)-영업중36.774933126.4384462017-04-05