Overview

Dataset statistics

Number of variables8
Number of observations367
Missing cells75
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory64.4 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description충주시 부동산중개업소 현황(등록번호, 상호명, 대표, 주소, 연락처)에 대한 공공데이터 입니다. 데이터 기준일자 : 2022-08-31
Author충청북도 충주시
URLhttps://www.data.go.kr/data/3071110/fileData.do

Alerts

자치단체명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연락처 has 75 (20.4%) missing valuesMissing
등록번호 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:13:03.388324
Analysis finished2023-12-12 12:13:04.050956
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
충청북도 충주시
367 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 충주시
2nd row충청북도 충주시
3rd row충청북도 충주시
4th row충청북도 충주시
5th row충청북도 충주시

Common Values

ValueCountFrequency (%)
충청북도 충주시 367
100.0%

Length

2023-12-12T21:13:04.124456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:04.237084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 367
50.0%
충주시 367
50.0%

등록번호
Text

UNIQUE 

Distinct367
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T21:13:04.457081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length12.359673
Min length8

Characters and Unicode

Total characters4536
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

Unique367 ?
Unique (%)100.0%

Sample

1st row3804-001
2nd row3804-003
3rd row3804-005
4th row3804-007
5th row3804-008
ValueCountFrequency (%)
3804-001 1
 
0.3%
43130-2017-00054 1
 
0.3%
43130-2018-00027 1
 
0.3%
43130-2018-00026 1
 
0.3%
43130-2018-00025 1
 
0.3%
43130-2018-00024 1
 
0.3%
43130-2018-00023 1
 
0.3%
43130-2018-00021 1
 
0.3%
43130-2018-00019 1
 
0.3%
43130-2018-00015 1
 
0.3%
Other values (357) 357
97.3%
2023-12-12T21:13:04.872192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1361
30.0%
3 651
14.4%
- 567
12.5%
1 520
 
11.5%
2 460
 
10.1%
4 438
 
9.7%
8 233
 
5.1%
7 86
 
1.9%
6 76
 
1.7%
5 75
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3969
87.5%
Dash Punctuation 567
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1361
34.3%
3 651
16.4%
1 520
 
13.1%
2 460
 
11.6%
4 438
 
11.0%
8 233
 
5.9%
7 86
 
2.2%
6 76
 
1.9%
5 75
 
1.9%
9 69
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 567
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1361
30.0%
3 651
14.4%
- 567
12.5%
1 520
 
11.5%
2 460
 
10.1%
4 438
 
9.7%
8 233
 
5.1%
7 86
 
1.9%
6 76
 
1.7%
5 75
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1361
30.0%
3 651
14.4%
- 567
12.5%
1 520
 
11.5%
2 460
 
10.1%
4 438
 
9.7%
8 233
 
5.1%
7 86
 
1.9%
6 76
 
1.7%
5 75
 
1.7%

대표
Text

Distinct361
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T21:13:05.292621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters1101
Distinct characters161
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

Unique355 ?
Unique (%)96.7%

Sample

1st row조애현
2nd row정규범
3rd row박동근
4th row민옥진
5th row김영수
ValueCountFrequency (%)
김영미 2
 
0.5%
이선희 2
 
0.5%
박지훈 2
 
0.5%
최선희 2
 
0.5%
이정화 2
 
0.5%
이현옥 2
 
0.5%
김용철 1
 
0.3%
김욱종 1
 
0.3%
송상석 1
 
0.3%
이광춘 1
 
0.3%
Other values (351) 351
95.6%
2023-12-12T21:13:05.874446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 79
 
7.2%
이 70
 
6.4%
영 45
 
4.1%
정 32
 
2.9%
박 27
 
2.5%
미 24
 
2.2%
경 23
 
2.1%
희 22
 
2.0%
최 22
 
2.0%
현 21
 
1.9%
Other values (151) 736
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1101
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 79
 
7.2%
이 70
 
6.4%
영 45
 
4.1%
정 32
 
2.9%
박 27
 
2.5%
미 24
 
2.2%
경 23
 
2.1%
희 22
 
2.0%
최 22
 
2.0%
현 21
 
1.9%
Other values (151) 736
66.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1101
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 79
 
7.2%
이 70
 
6.4%
영 45
 
4.1%
정 32
 
2.9%
박 27
 
2.5%
미 24
 
2.2%
경 23
 
2.1%
희 22
 
2.0%
최 22
 
2.0%
현 21
 
1.9%
Other values (151) 736
66.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1101
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 79
 
7.2%
이 70
 
6.4%
영 45
 
4.1%
정 32
 
2.9%
박 27
 
2.5%
미 24
 
2.2%
경 23
 
2.1%
희 22
 
2.0%
최 22
 
2.0%
현 21
 
1.9%
Other values (151) 736
66.8%

상호
Text

UNIQUE 

Distinct367
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T21:13:06.135259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length10.948229
Min length9

Characters and Unicode

Total characters4018
Distinct characters284
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)100.0%

Sample

1st row부동산써치114 공인중개사사무소
2nd row돈산공인중개사사무소
3rd row부동산114공인중개사사무소
4th row민옥진공인중개사사무소
5th row부영공인중개사사무소
ValueCountFrequency (%)
부동산써치114 1
 
0.3%
리치공인중개사사무소 1
 
0.3%
청기와공인중개사사무소 1
 
0.3%
김경운공인중개사사무소 1
 
0.3%
우미린공인중개사사무소 1
 
0.3%
나이스공인중개사사무소 1
 
0.3%
가람공인중개사사무소 1
 
0.3%
명품공인중개사사무소 1
 
0.3%
명광부동산공인중개사사무소 1
 
0.3%
충주시티공인중개사사무소 1
 
0.3%
Other values (358) 358
97.3%
2023-12-12T21:13:06.539981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 720
17.9%
중 372
 
9.3%
소 371
 
9.2%
개 369
 
9.2%
무 368
 
9.2%
인 367
 
9.1%
공 353
 
8.8%
산 59
 
1.5%
동 54
 
1.3%
부 53
 
1.3%
Other values (274) 932
23.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3970
98.8%
Decimal Number 23
 
0.6%
Uppercase Letter 19
 
0.5%
Lowercase Letter 3
 
0.1%
Other Symbol 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 720
18.1%
중 372
9.4%
소 371
9.3%
개 369
9.3%
무 368
9.3%
인 367
9.2%
공 353
 
8.9%
산 59
 
1.5%
동 54
 
1.4%
부 53
 
1.3%
Other values (252) 884
22.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
15.8%
O 3
15.8%
N 2
10.5%
S 2
10.5%
I 1
 
5.3%
G 1
 
5.3%
P 1
 
5.3%
V 1
 
5.3%
A 1
 
5.3%
W 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 14
60.9%
4 5
 
21.7%
2 2
 
8.7%
3 1
 
4.3%
9 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
w 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3969
98.8%
Common 24
 
0.6%
Latin 22
 
0.5%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 720
18.1%
중 372
9.4%
소 371
9.3%
개 369
9.3%
무 368
9.3%
인 367
9.2%
공 353
 
8.9%
산 59
 
1.5%
동 54
 
1.4%
부 53
 
1.3%
Other values (250) 883
22.2%
Latin
ValueCountFrequency (%)
K 3
13.6%
O 3
13.6%
e 2
 
9.1%
N 2
 
9.1%
S 2
 
9.1%
I 1
 
4.5%
G 1
 
4.5%
P 1
 
4.5%
V 1
 
4.5%
w 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
1 14
58.3%
4 5
 
20.8%
2 2
 
8.3%
3 1
 
4.2%
1
 
4.2%
9 1
 
4.2%
Han
ValueCountFrequency (%)
新 1
33.3%
川 1
33.3%
山 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3967
98.7%
ASCII 46
 
1.1%
CJK 3
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 720
18.1%
중 372
9.4%
소 371
9.4%
개 369
9.3%
무 368
9.3%
인 367
9.3%
공 353
8.9%
산 59
 
1.5%
동 54
 
1.4%
부 53
 
1.3%
Other values (249) 881
22.2%
ASCII
ValueCountFrequency (%)
1 14
30.4%
4 5
 
10.9%
K 3
 
6.5%
O 3
 
6.5%
e 2
 
4.3%
N 2
 
4.3%
2 2
 
4.3%
S 2
 
4.3%
I 1
 
2.2%
G 1
 
2.2%
Other values (11) 11
23.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
新 1
33.3%
川 1
33.3%
山 1
33.3%

주소
Text

Distinct351
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T21:13:06.920869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length22.463215
Min length14

Characters and Unicode

Total characters8244
Distinct characters209
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)91.3%

Sample

1st row충주시 대현4길 1(교현동)
2nd row충주시 앙성면 가곡로 1450
3rd row충주시 연원1길 1(연수동)
4th row충주시 연수서편2길 35(연수동)
5th row충주시 금릉로 48, 상가동 106호(칠금동,부영아파트)
ValueCountFrequency (%)
충주시 367
 
24.5%
상가동 57
 
3.8%
대소원면 20
 
1.3%
중앙탑면 19
 
1.3%
예성로 19
 
1.3%
주덕읍 14
 
0.9%
봉현로 14
 
0.9%
계명대로 12
 
0.8%
금릉로 12
 
0.8%
사직로 12
 
0.8%
Other values (576) 954
63.6%
2023-12-12T21:13:07.434263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1155
 
14.0%
1 473
 
5.7%
주 413
 
5.0%
동 404
 
4.9%
충 403
 
4.9%
시 386
 
4.7%
) 297
 
3.6%
( 297
 
3.6%
로 254
 
3.1%
2 225
 
2.7%
Other values (199) 3937
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4720
57.3%
Decimal Number 1514
 
18.4%
Space Separator 1155
 
14.0%
Close Punctuation 297
 
3.6%
Open Punctuation 297
 
3.6%
Other Punctuation 188
 
2.3%
Dash Punctuation 45
 
0.5%
Uppercase Letter 20
 
0.2%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 413
 
8.8%
동 404
 
8.6%
충 403
 
8.5%
시 386
 
8.2%
로 254
 
5.4%
호 214
 
4.5%
수 135
 
2.9%
연 123
 
2.6%
길 117
 
2.5%
가 98
 
2.1%
Other values (177) 2173
46.0%
Decimal Number
ValueCountFrequency (%)
1 473
31.2%
2 225
14.9%
0 183
 
12.1%
3 149
 
9.8%
4 115
 
7.6%
5 103
 
6.8%
7 77
 
5.1%
6 72
 
4.8%
9 59
 
3.9%
8 58
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 10
50.0%
B 4
 
20.0%
S 2
 
10.0%
H 2
 
10.0%
L 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 186
98.9%
. 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4720
57.3%
Common 3496
42.4%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 413
 
8.8%
동 404
 
8.6%
충 403
 
8.5%
시 386
 
8.2%
로 254
 
5.4%
호 214
 
4.5%
수 135
 
2.9%
연 123
 
2.6%
길 117
 
2.5%
가 98
 
2.1%
Other values (177) 2173
46.0%
Common
ValueCountFrequency (%)
1155
33.0%
1 473
13.5%
) 297
 
8.5%
( 297
 
8.5%
2 225
 
6.4%
, 186
 
5.3%
0 183
 
5.2%
3 149
 
4.3%
4 115
 
3.3%
5 103
 
2.9%
Other values (6) 313
 
9.0%
Latin
ValueCountFrequency (%)
A 10
35.7%
e 8
28.6%
B 4
 
14.3%
S 2
 
7.1%
H 2
 
7.1%
L 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4720
57.3%
ASCII 3524
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1155
32.8%
1 473
13.4%
) 297
 
8.4%
( 297
 
8.4%
2 225
 
6.4%
, 186
 
5.3%
0 183
 
5.2%
3 149
 
4.2%
4 115
 
3.3%
5 103
 
2.9%
Other values (12) 341
 
9.7%
Hangul
ValueCountFrequency (%)
주 413
 
8.8%
동 404
 
8.6%
충 403
 
8.5%
시 386
 
8.2%
로 254
 
5.4%
호 214
 
4.5%
수 135
 
2.9%
연 123
 
2.6%
길 117
 
2.5%
가 98
 
2.1%
Other values (177) 2173
46.0%

연락처
Text

MISSING 

Distinct284
Distinct (%)97.3%
Missing75
Missing (%)20.4%
Memory size3.0 KiB
2023-12-12T21:13:07.765607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.013699
Min length12

Characters and Unicode

Total characters3508
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)94.5%

Sample

1st row043-846-8944
2nd row043-855-4988
3rd row043-847-0114
4th row043-842-3610
5th row043-848-0050
ValueCountFrequency (%)
043-854-9035 2
 
0.7%
043-845-4343 2
 
0.7%
043-844-1212 2
 
0.7%
043-845-2228 2
 
0.7%
043-847-5555 2
 
0.7%
043-844-4213 2
 
0.7%
043-846-0855 2
 
0.7%
043-847-0114 2
 
0.7%
043-856-0750 1
 
0.3%
070-7752-3214 1
 
0.3%
Other values (274) 274
93.8%
2023-12-12T21:13:08.353885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 610
17.4%
- 584
16.6%
0 472
13.5%
8 465
13.3%
3 419
11.9%
5 341
9.7%
9 140
 
4.0%
2 137
 
3.9%
7 124
 
3.5%
1 109
 
3.1%
Other values (2) 107
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2923
83.3%
Dash Punctuation 584
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 610
20.9%
0 472
16.1%
8 465
15.9%
3 419
14.3%
5 341
11.7%
9 140
 
4.8%
2 137
 
4.7%
7 124
 
4.2%
1 109
 
3.7%
6 106
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 584
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 610
17.4%
- 584
16.6%
0 472
13.5%
8 465
13.3%
3 419
11.9%
5 341
9.7%
9 140
 
4.0%
2 137
 
3.9%
7 124
 
3.5%
1 109
 
3.1%
Other values (2) 107
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 610
17.4%
- 584
16.6%
0 472
13.5%
8 465
13.3%
3 419
11.9%
5 341
9.7%
9 140
 
4.0%
2 137
 
3.9%
7 124
 
3.5%
1 109
 
3.1%
Other values (2) 107
 
3.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
043-850-5481
367 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row043-850-5481
2nd row043-850-5481
3rd row043-850-5481
4th row043-850-5481
5th row043-850-5481

Common Values

ValueCountFrequency (%)
043-850-5481 367
100.0%

Length

2023-12-12T21:13:08.558804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:08.699020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-850-5481 367
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2023-12-12T21:13:08.812484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:08.938300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T21:13:03.850326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:13:03.996420image/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

자치단체명등록번호대표상호주소연락처관리기관전화번호데이터기준일자
0충청북도 충주시3804-001조애현부동산써치114 공인중개사사무소충주시 대현4길 1(교현동)043-846-8944043-850-54812022-08-31
1충청북도 충주시3804-003정규범돈산공인중개사사무소충주시 앙성면 가곡로 1450043-855-4988043-850-54812022-08-31
2충청북도 충주시3804-005박동근부동산114공인중개사사무소충주시 연원1길 1(연수동)043-847-0114043-850-54812022-08-31
3충청북도 충주시3804-007민옥진민옥진공인중개사사무소충주시 연수서편2길 35(연수동)043-842-3610043-850-54812022-08-31
4충청북도 충주시3804-008김영수부영공인중개사사무소충주시 금릉로 48, 상가동 106호(칠금동,부영아파트)043-848-0050043-850-54812022-08-31
5충청북도 충주시3804-009노병선부동산중개인견학사무소충주시 주덕읍 신덕로 1366043-846-5521043-850-54812022-08-31
6충청북도 충주시3804-012이은정원창공인중개사사무소충주시 연원15길 13(연수동)043-854-1120043-850-54812022-08-31
7충청북도 충주시3804-013이민수충주부부공인중개사사무소충주시 계명대로 156(교현동)043-844-1212043-850-54812022-08-31
8충청북도 충주시3804-014심민주스마트공인중개사사무소충주시 국원초2길 18, 상가동 107호(연수동,유원하나아파트)043-848-9689043-850-54812022-08-31
9충청북도 충주시3804-016소진선굿충주영진공인중개사사무소충주시 용산로 32-1(용산동)043-847-5555043-850-54812022-08-31
자치단체명등록번호대표상호주소연락처관리기관전화번호데이터기준일자
357충청북도 충주시43130-2022-00011신용식다인공인중개사사무소충주시 번영대로 224 (연수동)043-855-4555043-850-54812022-08-31
358충청북도 충주시43130-2022-00012최혜영공림공인중개사사무소충주시 거룡2길 78 (용산동)043-855-2122043-850-54812022-08-31
359충청북도 충주시43130-2022-00013이미영다모아공인중개사사무소충주시 대소원면 첨단산업4로 24,401동 420호 (충주코아루퍼스트아파트)043-845-4947043-850-54812022-08-31
360충청북도 충주시43130-2022-00014신정아신흥공인중개사사무소충주시 금봉대로 78-2 (호암동)043-856-8080043-850-54812022-08-31
361충청북도 충주시43130-2022-00015김태길태정공인중개사사무소충주시 금제로 28 (금릉동)<NA>043-850-54812022-08-31
362충청북도 충주시43130-2022-00016최미화서울공인중개사사무소충주시 대소원면 쇠실로 997043-851-3373043-850-54812022-08-31
363충청북도 충주시43130-2022-00017한아름아름공인중개사사무소충주시 금봉1길 20-25, 101호 (용산동)<NA>043-850-54812022-08-31
364충청북도 충주시43130-2022-00018임한오동충주공인중개사사무소충주시 엄정면 내창로 191<NA>043-850-54812022-08-31
365충청북도 충주시43130-2022-00019박상은내산내집공인중개사사무소충주시 충주산단1로 150 (용탄동)<NA>043-850-54812022-08-31
366충청북도 충주시43130-2022-00020강규명청산공인중개사사무소충주시 산척면 천등박달로 90<NA>043-850-54812022-08-31