Overview

Dataset statistics

Number of variables6
Number of observations349
Missing cells63
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Text5

Dataset

Description목포시에 위치한 부동산 중개업 현황에 대하여 등록번호, 사무소명칭, 대표자, 사무소 소재지, 전화번호의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3075114/fileData.do

Alerts

전화번호 has 63 (18.1%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique
사무소 명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:37:06.771895
Analysis finished2023-12-12 08:37:07.637325
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175
Minimum1
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T17:37:07.717094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.4
Q188
median175
Q3262
95-th percentile331.6
Maximum349
Range348
Interquartile range (IQR)174

Descriptive statistics

Standard deviation100.89186
Coefficient of variation (CV)0.57652489
Kurtosis-1.2
Mean175
Median Absolute Deviation (MAD)87
Skewness0
Sum61075
Variance10179.167
MonotonicityStrictly increasing
2023-12-12T17:37:07.916809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
Other values (339) 339
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%

등록번호
Text

UNIQUE 

Distinct349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:37:08.223380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.352436
Min length6

Characters and Unicode

Total characters4660
Distinct characters18
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)100.0%

Sample

1st rowJul-08
2nd row4108-130
3rd row4108-175
4th row가4108-236
5th rowAug-08
ValueCountFrequency (%)
jul-08 1
 
0.3%
46110-2019-00004 1
 
0.3%
46110-2019-00020 1
 
0.3%
46110-2019-00018 1
 
0.3%
46110-2019-00015 1
 
0.3%
46110-2019-00012 1
 
0.3%
46110-2019-00011 1
 
0.3%
46110-2019-00008 1
 
0.3%
46110-2019-00006 1
 
0.3%
46110-2019-00024 1
 
0.3%
Other values (340) 340
97.1%
2023-12-12T17:37:08.669554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1318
28.3%
1 894
19.2%
- 558
12.0%
2 454
 
9.7%
4 425
 
9.1%
6 290
 
6.2%
8 217
 
4.7%
가 133
 
2.9%
3 104
 
2.2%
9 96
 
2.1%
Other values (8) 171
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3962
85.0%
Dash Punctuation 558
 
12.0%
Other Letter 133
 
2.9%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1318
33.3%
1 894
22.6%
2 454
 
11.5%
4 425
 
10.7%
6 290
 
7.3%
8 217
 
5.5%
3 104
 
2.6%
9 96
 
2.4%
7 91
 
2.3%
5 73
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
u 2
50.0%
g 1
25.0%
l 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
J 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 558
100.0%
Other Letter
ValueCountFrequency (%)
가 133
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4521
97.0%
Hangul 133
 
2.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1318
29.2%
1 894
19.8%
- 558
12.3%
2 454
 
10.0%
4 425
 
9.4%
6 290
 
6.4%
8 217
 
4.8%
3 104
 
2.3%
9 96
 
2.1%
7 91
 
2.0%
Other values (2) 74
 
1.6%
Latin
ValueCountFrequency (%)
u 2
33.3%
A 1
16.7%
g 1
16.7%
J 1
16.7%
l 1
16.7%
Hangul
ValueCountFrequency (%)
가 133
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4527
97.1%
Hangul 133
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1318
29.1%
1 894
19.7%
- 558
12.3%
2 454
 
10.0%
4 425
 
9.4%
6 290
 
6.4%
8 217
 
4.8%
3 104
 
2.3%
9 96
 
2.1%
7 91
 
2.0%
Other values (7) 80
 
1.8%
Hangul
ValueCountFrequency (%)
가 133
100.0%

사무소 명칭
Text

UNIQUE 

Distinct349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:37:08.961280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.82235
Min length7

Characters and Unicode

Total characters3777
Distinct characters290
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)100.0%

Sample

1st row대륙부동산중개인사무소
2nd row영진사부동산중개인사무소
3rd row만중부동산중개인사무소
4th row둥근섬부동산중개인사무소
5th row정일부동산중개사무소
ValueCountFrequency (%)
공인중개사사무소 2
 
0.6%
대륙부동산중개인사무소 1
 
0.3%
코끼리공인중개사사무소 1
 
0.3%
네모공인중개사사무소 1
 
0.3%
태신공인중개사사무소 1
 
0.3%
백만불공인중개사사무소 1
 
0.3%
웰빙공인중개사사무소 1
 
0.3%
기쁨공인중개사사무소 1
 
0.3%
하나다공인중개사사무소 1
 
0.3%
라라공인중개사사무소 1
 
0.3%
Other values (345) 345
96.9%
2023-12-12T17:37:09.427239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 688
18.2%
중 352
 
9.3%
개 351
 
9.3%
인 351
 
9.3%
소 350
 
9.3%
무 348
 
9.2%
공 337
 
8.9%
산 39
 
1.0%
동 38
 
1.0%
부 34
 
0.9%
Other values (280) 889
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3745
99.2%
Decimal Number 12
 
0.3%
Space Separator 7
 
0.2%
Uppercase Letter 7
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 688
18.4%
중 352
9.4%
개 351
9.4%
인 351
9.4%
소 350
9.3%
무 348
9.3%
공 337
 
9.0%
산 39
 
1.0%
동 38
 
1.0%
부 34
 
0.9%
Other values (266) 857
22.9%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
4 3
25.0%
0 2
16.7%
8 2
16.7%
2 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
G 3
42.9%
S 2
28.6%
O 1
 
14.3%
L 1
 
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3744
99.1%
Common 24
 
0.6%
Latin 8
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 688
18.4%
중 352
9.4%
개 351
9.4%
인 351
9.4%
소 350
9.3%
무 348
9.3%
공 337
 
9.0%
산 39
 
1.0%
동 38
 
1.0%
부 34
 
0.9%
Other values (265) 856
22.9%
Common
ValueCountFrequency (%)
7
29.2%
1 4
16.7%
4 3
12.5%
0 2
 
8.3%
( 2
 
8.3%
) 2
 
8.3%
8 2
 
8.3%
- 1
 
4.2%
2 1
 
4.2%
Latin
ValueCountFrequency (%)
G 3
37.5%
S 2
25.0%
O 1
 
12.5%
L 1
 
12.5%
e 1
 
12.5%
Han
ValueCountFrequency (%)
福 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3744
99.1%
ASCII 32
 
0.8%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 688
18.4%
중 352
9.4%
개 351
9.4%
인 351
9.4%
소 350
9.3%
무 348
9.3%
공 337
 
9.0%
산 39
 
1.0%
동 38
 
1.0%
부 34
 
0.9%
Other values (265) 856
22.9%
ASCII
ValueCountFrequency (%)
7
21.9%
1 4
12.5%
4 3
9.4%
G 3
9.4%
S 2
 
6.2%
0 2
 
6.2%
( 2
 
6.2%
) 2
 
6.2%
8 2
 
6.2%
O 1
 
3.1%
Other values (4) 4
12.5%
CJK
ValueCountFrequency (%)
福 1
100.0%

대표자
Text

Distinct346
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:37:09.908966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.982808
Min length2

Characters and Unicode

Total characters1041
Distinct characters154
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

Unique343 ?
Unique (%)98.3%

Sample

1st row박봉규
2nd row홍옥천
3rd row황길수
4th row전길순
5th row이정일
ValueCountFrequency (%)
김현정 2
 
0.6%
김성희 2
 
0.6%
김현 2
 
0.6%
조아린 1
 
0.3%
박진희 1
 
0.3%
김양익 1
 
0.3%
차성규 1
 
0.3%
손은정 1
 
0.3%
박수란 1
 
0.3%
이경옥 1
 
0.3%
Other values (336) 336
96.3%
2023-12-12T17:37:10.469462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 73
 
7.0%
이 58
 
5.6%
박 44
 
4.2%
정 42
 
4.0%
영 38
 
3.7%
성 23
 
2.2%
희 23
 
2.2%
경 21
 
2.0%
숙 21
 
2.0%
미 21
 
2.0%
Other values (144) 677
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1041
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 73
 
7.0%
이 58
 
5.6%
박 44
 
4.2%
정 42
 
4.0%
영 38
 
3.7%
성 23
 
2.2%
희 23
 
2.2%
경 21
 
2.0%
숙 21
 
2.0%
미 21
 
2.0%
Other values (144) 677
65.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1041
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 73
 
7.0%
이 58
 
5.6%
박 44
 
4.2%
정 42
 
4.0%
영 38
 
3.7%
성 23
 
2.2%
희 23
 
2.2%
경 21
 
2.0%
숙 21
 
2.0%
미 21
 
2.0%
Other values (144) 677
65.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1041
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 73
 
7.0%
이 58
 
5.6%
박 44
 
4.2%
정 42
 
4.0%
영 38
 
3.7%
성 23
 
2.2%
희 23
 
2.2%
경 21
 
2.0%
숙 21
 
2.0%
미 21
 
2.0%
Other values (144) 677
65.0%

사무소 소재지
Text

Distinct327
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T17:37:10.781529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length26.925501
Min length15

Characters and Unicode

Total characters9397
Distinct characters190
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

Unique310 ?
Unique (%)88.8%

Sample

1st row전라남도 목포시 산대로45번길 1-1 (산정동)
2nd row전라남도 목포시 신촌로 7 (용당동)
3rd row전라남도 목포시 영산로257번길 14 (용당동)
4th row전라남도 목포시 산정로 105 (산정동)
5th row전라남도 목포시 용해로 1 (용당동)
ValueCountFrequency (%)
전라남도 349
 
18.6%
목포시 349
 
18.6%
상가동 69
 
3.7%
상동 34
 
1.8%
산정동 28
 
1.5%
옥암동 26
 
1.4%
영산로 17
 
0.9%
17
 
0.9%
2 16
 
0.9%
용당로 15
 
0.8%
Other values (476) 957
51.0%
2023-12-12T17:37:11.234027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1566
 
16.7%
1 472
 
5.0%
남 384
 
4.1%
포 355
 
3.8%
라 355
 
3.8%
목 352
 
3.7%
시 352
 
3.7%
도 351
 
3.7%
전 349
 
3.7%
로 347
 
3.7%
Other values (180) 4514
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5514
58.7%
Decimal Number 1684
 
17.9%
Space Separator 1566
 
16.7%
Close Punctuation 241
 
2.6%
Open Punctuation 241
 
2.6%
Other Punctuation 80
 
0.9%
Dash Punctuation 61
 
0.6%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 384
 
7.0%
포 355
 
6.4%
라 355
 
6.4%
목 352
 
6.4%
시 352
 
6.4%
도 351
 
6.4%
전 349
 
6.3%
로 347
 
6.3%
동 340
 
6.2%
상 163
 
3.0%
Other values (158) 2166
39.3%
Decimal Number
ValueCountFrequency (%)
1 472
28.0%
2 245
14.5%
3 195
11.6%
0 190
11.3%
4 123
 
7.3%
5 115
 
6.8%
6 99
 
5.9%
8 89
 
5.3%
9 79
 
4.7%
7 77
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
B 3
30.0%
S 1
 
10.0%
D 1
 
10.0%
H 1
 
10.0%
L 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 79
98.8%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
1566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5514
58.7%
Common 3873
41.2%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 384
 
7.0%
포 355
 
6.4%
라 355
 
6.4%
목 352
 
6.4%
시 352
 
6.4%
도 351
 
6.4%
전 349
 
6.3%
로 347
 
6.3%
동 340
 
6.2%
상 163
 
3.0%
Other values (158) 2166
39.3%
Common
ValueCountFrequency (%)
1566
40.4%
1 472
 
12.2%
2 245
 
6.3%
) 241
 
6.2%
( 241
 
6.2%
3 195
 
5.0%
0 190
 
4.9%
4 123
 
3.2%
5 115
 
3.0%
6 99
 
2.6%
Other values (6) 386
 
10.0%
Latin
ValueCountFrequency (%)
A 3
30.0%
B 3
30.0%
S 1
 
10.0%
D 1
 
10.0%
H 1
 
10.0%
L 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5514
58.7%
ASCII 3883
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1566
40.3%
1 472
 
12.2%
2 245
 
6.3%
) 241
 
6.2%
( 241
 
6.2%
3 195
 
5.0%
0 190
 
4.9%
4 123
 
3.2%
5 115
 
3.0%
6 99
 
2.5%
Other values (12) 396
 
10.2%
Hangul
ValueCountFrequency (%)
남 384
 
7.0%
포 355
 
6.4%
라 355
 
6.4%
목 352
 
6.4%
시 352
 
6.4%
도 351
 
6.4%
전 349
 
6.3%
로 347
 
6.3%
동 340
 
6.2%
상 163
 
3.0%
Other values (158) 2166
39.3%

전화번호
Text

MISSING 

Distinct283
Distinct (%)99.0%
Missing63
Missing (%)18.1%
Memory size2.9 KiB
2023-12-12T17:37:11.470982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length12
Mean length12.909091
Min length12

Characters and Unicode

Total characters3692
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

Unique280 ?
Unique (%)97.9%

Sample

1st row061-276-4155
2nd row061-272-8467
3rd row061-273-3347
4th row061-276-9062
5th row061-272-1710
ValueCountFrequency (%)
061-285-7169 2
 
0.7%
061-276-4980 2
 
0.7%
061-243-0080 2
 
0.7%
061-283-8000 1
 
0.3%
061-242-4600 1
 
0.3%
061-281-4955 1
 
0.3%
061-283-0090,061-281-0020 1
 
0.3%
061-278-8932 1
 
0.3%
061-273-0789,061-242-4422 1
 
0.3%
061-276-4989 1
 
0.3%
Other values (273) 273
95.5%
2023-12-12T17:37:11.818700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 611
16.5%
0 511
13.8%
2 448
12.1%
1 417
11.3%
6 397
10.8%
8 348
9.4%
7 254
6.9%
4 204
 
5.5%
9 170
 
4.6%
5 156
 
4.2%
Other values (3) 176
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3060
82.9%
Dash Punctuation 611
 
16.5%
Other Punctuation 20
 
0.5%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 511
16.7%
2 448
14.6%
1 417
13.6%
6 397
13.0%
8 348
11.4%
7 254
8.3%
4 204
 
6.7%
9 170
 
5.6%
5 156
 
5.1%
3 155
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 611
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3692
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 611
16.5%
0 511
13.8%
2 448
12.1%
1 417
11.3%
6 397
10.8%
8 348
9.4%
7 254
6.9%
4 204
 
5.5%
9 170
 
4.6%
5 156
 
4.2%
Other values (3) 176
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 611
16.5%
0 511
13.8%
2 448
12.1%
1 417
11.3%
6 397
10.8%
8 348
9.4%
7 254
6.9%
4 204
 
5.5%
9 170
 
4.6%
5 156
 
4.2%
Other values (3) 176
 
4.8%

Interactions

2023-12-12T17:37:07.278107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T17:37:07.436992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:37:07.587115image/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

연번등록번호사무소 명칭대표자사무소 소재지전화번호
01Jul-08대륙부동산중개인사무소박봉규전라남도 목포시 산대로45번길 1-1 (산정동)061-276-4155
124108-130영진사부동산중개인사무소홍옥천전라남도 목포시 신촌로 7 (용당동)061-272-8467
234108-175만중부동산중개인사무소황길수전라남도 목포시 영산로257번길 14 (용당동)061-273-3347
34가4108-236둥근섬부동산중개인사무소전길순전라남도 목포시 산정로 105 (산정동)061-276-9062
45Aug-08정일부동산중개사무소이정일전라남도 목포시 용해로 1 (용당동)061-272-1710
56가4108-253새한부동산중개인박기동사무소박기동전라남도 목포시 동명로 60 (산정동)061-272-7723
67가4108-316삼학부동산중개인사무소서상호전라남도 목포시 산정로21번길 13 (호남동)061-242-1229
78가4108-558토지공인중개사사무소이동옥전라남도 목포시 원산로145번안길 14061-283-9080
89가4108-560천안공인중개사사무소전도랑전라남도 목포시 용당로 59 (산정동)061-244-3324
910가4108-565동아공인중개사정순도사무소정순도전라남도 목포시 영산로 682 (석현동)061-284-1944
연번등록번호사무소 명칭대표자사무소 소재지전화번호
33934046110-2022-00036광장부동산공인중개사사무소조아린전라남도 목포시 하당로 119-1 1층(상동)061-283-0828
34034146110-2023-00001유공인중개사사무소황도경전라남도 목포시 양을로143번길 3-1 (산정동)<NA>
34134246110-2023-00002복방공인중개사사무소이덕순전라남도 목포시 평화로 10 (상동)<NA>
34234346110-2023-00004세종공인중개사사무소장용기전라남도 목포시 영산로 559 102호061-282-8044
34334446110-2023-00006신안공인중개사사무소유재성전라남도 목포시 고하대로 638 2층061-279-9988
34434546110-2023-00007비타민공인중개사사무소송미숙전라남도 목포시 남악1로16번길 50 103호(옥암동)<NA>
345346가4108-979유한회사 중개법인 제안과 제화마용철전라남도 목포시 후광대로105번안길 34 (옥암동)061-274-4852
346347가4108-622(유)LG부동산중개법인박승규전라남도 목포시 영산로565번길 18 (상동)061-283-8000
34734846110-2019-00031유한회사블루오션공인중개사사무소신형균전라남도 목포시 해안로 159 4층061-245-1100
34834946110-2021-00024유한회사국민부동산중개법인최영환전라남도 목포시 옥암로 181 (석현동)061-285-2500