Overview

Dataset statistics

Number of variables7
Number of observations1263
Missing cells363
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.4 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description세종특별자치시에 소재하고 있는 부동산중개업소에 대한 행정처분상태, 사무소명, 부동산중개소 주소, 등록일에 대한 자료입니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/3076595/fileData.do

Alerts

행정처분상태 has constant value ""Constant
중개업자구분 is highly imbalanced (94.5%)Imbalance
전화번호 has 363 (28.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:45:55.303257
Analysis finished2023-12-12 06:45:56.276797
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632
Minimum1
Maximum1263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-12T15:45:56.368137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.1
Q1316.5
median632
Q3947.5
95-th percentile1199.9
Maximum1263
Range1262
Interquartile range (IQR)631

Descriptive statistics

Standard deviation364.741
Coefficient of variation (CV)0.57712184
Kurtosis-1.2
Mean632
Median Absolute Deviation (MAD)316
Skewness0
Sum798216
Variance133036
MonotonicityStrictly increasing
2023-12-12T15:45:56.518430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
841 1
 
0.1%
848 1
 
0.1%
847 1
 
0.1%
846 1
 
0.1%
845 1
 
0.1%
844 1
 
0.1%
843 1
 
0.1%
842 1
 
0.1%
840 1
 
0.1%
Other values (1253) 1253
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1263 1
0.1%
1262 1
0.1%
1261 1
0.1%
1260 1
0.1%
1259 1
0.1%
1258 1
0.1%
1257 1
0.1%
1256 1
0.1%
1255 1
0.1%
1254 1
0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
영업중
1263 

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 1263
100.0%

Length

2023-12-12T15:45:56.670025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:45:56.758247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1263
100.0%

사무소명
Text

Distinct1210
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-12T15:45:56.927840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length11.940618
Min length6

Characters and Unicode

Total characters15081
Distinct characters482
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1160 ?
Unique (%)91.8%

Sample

1st row청정부동산중개사무소
2nd row세종제일공인중개사사무소
3rd row세종마당공인중개사사무소
4th row중앙공인중개사사무소
5th row원주민공인중개사사무소
ValueCountFrequency (%)
공인중개사사무소 6
 
0.5%
대박공인중개사사무소 4
 
0.3%
소나무공인중개사사무소 3
 
0.2%
세종타운공인중개사사무소 2
 
0.2%
뉴세종공인중개사사무소 2
 
0.2%
새롬채움공인중개사사무소 2
 
0.2%
태양공인중개사사무소 2
 
0.2%
세종소망공인중개사사무소 2
 
0.2%
세종코끼리공인중개사사무소 2
 
0.2%
세종하나공인중개사사무소 2
 
0.2%
Other values (1204) 1245
97.9%
2023-12-12T15:45:57.306048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2494
16.5%
중 1277
 
8.5%
개 1269
 
8.4%
소 1268
 
8.4%
무 1257
 
8.3%
인 1246
 
8.3%
공 1239
 
8.2%
세 345
 
2.3%
종 331
 
2.2%
동 202
 
1.3%
Other values (472) 4153
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14869
98.6%
Uppercase Letter 74
 
0.5%
Decimal Number 65
 
0.4%
Lowercase Letter 43
 
0.3%
Space Separator 9
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2494
16.8%
중 1277
 
8.6%
개 1269
 
8.5%
소 1268
 
8.5%
무 1257
 
8.5%
인 1246
 
8.4%
공 1239
 
8.3%
세 345
 
2.3%
종 331
 
2.2%
동 202
 
1.4%
Other values (421) 3941
26.5%
Uppercase Letter
ValueCountFrequency (%)
T 12
16.2%
K 11
14.9%
O 10
13.5%
S 6
8.1%
B 5
 
6.8%
M 4
 
5.4%
H 4
 
5.4%
C 3
 
4.1%
R 3
 
4.1%
L 2
 
2.7%
Other values (10) 14
18.9%
Lowercase Letter
ValueCountFrequency (%)
e 18
41.9%
h 7
 
16.3%
o 5
 
11.6%
m 3
 
7.0%
c 2
 
4.7%
w 2
 
4.7%
p 1
 
2.3%
t 1
 
2.3%
y 1
 
2.3%
s 1
 
2.3%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 25
38.5%
4 10
 
15.4%
2 7
 
10.8%
6 6
 
9.2%
3 4
 
6.2%
7 4
 
6.2%
8 4
 
6.2%
9 2
 
3.1%
5 2
 
3.1%
0 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
! 1
 
20.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14861
98.5%
Latin 118
 
0.8%
Common 94
 
0.6%
Han 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2494
16.8%
중 1277
 
8.6%
개 1269
 
8.5%
소 1268
 
8.5%
무 1257
 
8.5%
인 1246
 
8.4%
공 1239
 
8.3%
세 345
 
2.3%
종 331
 
2.2%
동 202
 
1.4%
Other values (413) 3933
26.5%
Latin
ValueCountFrequency (%)
e 18
15.3%
T 12
 
10.2%
K 11
 
9.3%
O 10
 
8.5%
h 7
 
5.9%
S 6
 
5.1%
o 5
 
4.2%
B 5
 
4.2%
M 4
 
3.4%
H 4
 
3.4%
Other values (23) 36
30.5%
Common
ValueCountFrequency (%)
1 25
26.6%
4 10
 
10.6%
9
 
9.6%
2 7
 
7.4%
6 6
 
6.4%
( 5
 
5.3%
) 5
 
5.3%
- 4
 
4.3%
3 4
 
4.3%
7 4
 
4.3%
Other values (8) 15
16.0%
Han
ValueCountFrequency (%)
峨 1
12.5%
琛 1
12.5%
人 1
12.5%
地 1
12.5%
天 1
12.5%
剛 1
12.5%
金 1
12.5%
感 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14861
98.5%
ASCII 211
 
1.4%
CJK 7
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2494
16.8%
중 1277
 
8.6%
개 1269
 
8.5%
소 1268
 
8.5%
무 1257
 
8.5%
인 1246
 
8.4%
공 1239
 
8.3%
세 345
 
2.3%
종 331
 
2.2%
동 202
 
1.4%
Other values (413) 3933
26.5%
ASCII
ValueCountFrequency (%)
1 25
 
11.8%
e 18
 
8.5%
T 12
 
5.7%
K 11
 
5.2%
4 10
 
4.7%
O 10
 
4.7%
9
 
4.3%
2 7
 
3.3%
h 7
 
3.3%
6 6
 
2.8%
Other values (40) 96
45.5%
CJK
ValueCountFrequency (%)
峨 1
14.3%
琛 1
14.3%
人 1
14.3%
地 1
14.3%
天 1
14.3%
剛 1
14.3%
感 1
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%

중개업자구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
공인중개사
1251 
법인
 
7
중개인
 
5

Length

Max length5
Median length5
Mean length4.9754553
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 1251
99.0%
법인 7
 
0.6%
중개인 5
 
0.4%

Length

2023-12-12T15:45:57.441876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:45:57.562896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 1251
99.0%
법인 7
 
0.6%
중개인 5
 
0.4%

전화번호
Text

MISSING 

Distinct836
Distinct (%)92.9%
Missing363
Missing (%)28.7%
Memory size10.0 KiB
2023-12-12T15:45:57.769504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.043333
Min length9

Characters and Unicode

Total characters10839
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

Unique774 ?
Unique (%)86.0%

Sample

1st row044-866-0089
2nd row044-863-8114
3rd row044-277-6300
4th row044-866-7945
5th row044-275-4159
ValueCountFrequency (%)
044-867-7000 3
 
0.3%
044-865-8755 3
 
0.3%
044-852-1222 2
 
0.2%
044-868-7117 2
 
0.2%
044-998-2600 2
 
0.2%
044-868-8954 2
 
0.2%
044-866-0388 2
 
0.2%
044-862-8707 2
 
0.2%
044-866-9925 2
 
0.2%
044-866-0090 2
 
0.2%
Other values (826) 878
97.6%
2023-12-12T15:45:58.143929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2301
21.2%
- 1805
16.7%
0 1573
14.5%
8 1362
12.6%
6 1099
10.1%
9 675
 
6.2%
5 455
 
4.2%
2 444
 
4.1%
7 404
 
3.7%
3 368
 
3.4%
Other values (3) 353
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9030
83.3%
Dash Punctuation 1805
 
16.7%
Math Symbol 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2301
25.5%
0 1573
17.4%
8 1362
15.1%
6 1099
12.2%
9 675
 
7.5%
5 455
 
5.0%
2 444
 
4.9%
7 404
 
4.5%
3 368
 
4.1%
1 349
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1805
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2301
21.2%
- 1805
16.7%
0 1573
14.5%
8 1362
12.6%
6 1099
10.1%
9 675
 
6.2%
5 455
 
4.2%
2 444
 
4.1%
7 404
 
3.7%
3 368
 
3.4%
Other values (3) 353
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2301
21.2%
- 1805
16.7%
0 1573
14.5%
8 1362
12.6%
6 1099
10.1%
9 675
 
6.2%
5 455
 
4.2%
2 444
 
4.1%
7 404
 
3.7%
3 368
 
3.4%
Other values (3) 353
 
3.3%

사무소주소
Text

Distinct1145
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-12T15:45:58.561842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length32.924782
Min length10

Characters and Unicode

Total characters41584
Distinct characters292
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1044 ?
Unique (%)82.7%

Sample

1st row세종특별자치시 연동면 태산로 60 상가 101호(다산청정아파트)
2nd row세종특별자치시 전의면 왕의물로 2
3rd row세종특별자치시 마음안로 190 상가동 103호(고운동 가락마을15단지)
4th row세종특별자치시 부강면 부촌길 39-1
5th row세종특별자치시 금남면 용포로 79
ValueCountFrequency (%)
세종특별자치시 1239
 
18.3%
상가동 186
 
2.8%
조치원읍 118
 
1.7%
한누리대로 115
 
1.7%
1층 88
 
1.3%
상가1동 86
 
1.3%
남세종로 76
 
1.1%
장군면 56
 
0.8%
상가2동 54
 
0.8%
금남면 49
 
0.7%
Other values (1431) 4687
69.4%
2023-12-12T15:45:59.430461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5783
 
13.9%
1 2570
 
6.2%
동 1602
 
3.9%
세 1409
 
3.4%
종 1406
 
3.4%
시 1401
 
3.4%
치 1379
 
3.3%
자 1259
 
3.0%
특 1239
 
3.0%
별 1239
 
3.0%
Other values (282) 22297
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25722
61.9%
Decimal Number 7897
 
19.0%
Space Separator 5783
 
13.9%
Open Punctuation 928
 
2.2%
Close Punctuation 927
 
2.2%
Dash Punctuation 163
 
0.4%
Uppercase Letter 155
 
0.4%
Lowercase Letter 4
 
< 0.1%
Letter Number 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1602
 
6.2%
세 1409
 
5.5%
종 1406
 
5.5%
시 1401
 
5.4%
치 1379
 
5.4%
자 1259
 
4.9%
특 1239
 
4.8%
별 1239
 
4.8%
로 1151
 
4.5%
호 1037
 
4.0%
Other values (251) 12600
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 53
34.2%
A 45
29.0%
S 19
 
12.3%
F 9
 
5.8%
R 7
 
4.5%
C 6
 
3.9%
D 5
 
3.2%
I 3
 
1.9%
E 3
 
1.9%
N 2
 
1.3%
Other values (2) 3
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 2570
32.5%
0 1091
13.8%
2 926
 
11.7%
3 801
 
10.1%
4 609
 
7.7%
5 538
 
6.8%
9 372
 
4.7%
6 364
 
4.6%
7 322
 
4.1%
8 304
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
a 1
 
25.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Space Separator
ValueCountFrequency (%)
5783
100.0%
Open Punctuation
ValueCountFrequency (%)
( 928
100.0%
Close Punctuation
ValueCountFrequency (%)
) 927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25722
61.9%
Common 15699
37.8%
Latin 163
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1602
 
6.2%
세 1409
 
5.5%
종 1406
 
5.5%
시 1401
 
5.4%
치 1379
 
5.4%
자 1259
 
4.9%
특 1239
 
4.8%
별 1239
 
4.8%
로 1151
 
4.5%
호 1037
 
4.0%
Other values (251) 12600
49.0%
Latin
ValueCountFrequency (%)
B 53
32.5%
A 45
27.6%
S 19
 
11.7%
F 9
 
5.5%
R 7
 
4.3%
C 6
 
3.7%
D 5
 
3.1%
I 3
 
1.8%
E 3
 
1.8%
e 3
 
1.8%
Other values (6) 10
 
6.1%
Common
ValueCountFrequency (%)
5783
36.8%
1 2570
16.4%
0 1091
 
6.9%
( 928
 
5.9%
) 927
 
5.9%
2 926
 
5.9%
3 801
 
5.1%
4 609
 
3.9%
5 538
 
3.4%
9 372
 
2.4%
Other values (5) 1154
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25722
61.9%
ASCII 15858
38.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5783
36.5%
1 2570
16.2%
0 1091
 
6.9%
( 928
 
5.9%
) 927
 
5.8%
2 926
 
5.8%
3 801
 
5.1%
4 609
 
3.8%
5 538
 
3.4%
9 372
 
2.3%
Other values (19) 1313
 
8.3%
Hangul
ValueCountFrequency (%)
동 1602
 
6.2%
세 1409
 
5.5%
종 1406
 
5.5%
시 1401
 
5.4%
치 1379
 
5.4%
자 1259
 
4.9%
특 1239
 
4.8%
별 1239
 
4.8%
로 1151
 
4.5%
호 1037
 
4.0%
Other values (251) 12600
49.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%

등록일
Date

Distinct955
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
Minimum1987-03-26 00:00:00
Maximum2023-09-26 00:00:00
2023-12-12T15:45:59.570272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:45:59.701374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:45:55.871674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:45:59.781972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.197
중개업자구분0.1971.000
2023-12-12T15:45:59.858476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.119
중개업자구분0.1191.000

Missing values

2023-12-12T15:45:56.049448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:45:56.217004image/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

연번행정처분상태사무소명중개업자구분전화번호사무소주소등록일
01영업중청정부동산중개사무소중개인044-866-0089세종특별자치시 연동면 태산로 60 상가 101호(다산청정아파트)1987-03-26
12영업중세종제일공인중개사사무소공인중개사044-863-8114세종특별자치시 전의면 왕의물로 21988-02-02
23영업중세종마당공인중개사사무소공인중개사044-277-6300세종특별자치시 마음안로 190 상가동 103호(고운동 가락마을15단지)1995-06-29
34영업중중앙공인중개사사무소공인중개사044-866-7945세종특별자치시 부강면 부촌길 39-11996-08-06
45영업중원주민공인중개사사무소공인중개사044-275-4159세종특별자치시 금남면 용포로 791996-11-08
56영업중더다올공인중개사사무소공인중개사044-866-3391세종특별자치시 새롬중앙로 33 106호(새롬동새뜸프라자)1999-10-15
67영업중부강부동산중개사무소중개인044-866-9633세종특별자치시 부강면 부강4길 5-12000-09-23
78영업중두진공인중개사사무소공인중개사044-865-5420세종특별자치시 금남면 용포2길 70 두진(아) 상가-103호2000-10-24
89영업중세종천지공인중개사사무소공인중개사044-863-4998세종특별자치시 장군면 장척로 5712000-12-19
910영업중전동공인중개사사무소공인중개사044-863-6644세종특별자치시 전동면 전동로 442002-03-07
연번행정처분상태사무소명중개업자구분전화번호사무소주소등록일
12531254영업중세종제일부동산공인중개사사무소공인중개사044-865-2525세종특별자치시 나리1로 15 상가동 108호(한솔동 첫마을3단지)2023-08-23
12541255영업중피치공인중개사사무소공인중개사<NA>세종특별자치시 보듬3로 101 102호(아름동)2023-09-07
12551256영업중새나루복댕이공인중개사사무소공인중개사<NA>세종특별자치시 남세종로 160 근린생활시설동 1층 4호(집현동 새나루마을1단지)2023-09-12
12561257영업중소담뜰공인중개사사무소공인중개사044-864-2006세종특별자치시 남세종로 358 224동 104호(소담동 새샘마을2단지)2023-09-18
12571258영업중재원공인중개사사무소공인중개사<NA>세종특별자치시 장군면 정자말길 15-182023-09-25
12581259영업중봄날부동산공인중개사사무소공인중개사<NA>세종특별자치시 국세청로 45 상가동 1층 A102호(나성동 나릿재마을3단지)2023-09-25
12591260영업중산울탑공인중개사사무소공인중개사<NA>세종특별자치시 해밀3로 32 근린생활시설동 108호(해밀동 해밀마을1단지)2023-09-25
12601261영업중만석공인중개사사무소공인중개사044-867-0018세종특별자치시 장군면 월현윗길 32023-09-26
12611262영업중세종아름골드공인중개사사무소공인중개사<NA>세종특별자치시 보듬3로 73 402동 101호(아름동 범지기마을 11단지)2023-09-26
12621263영업중영진공인중개사사무소공인중개사<NA>세종특별자치시 집현중앙7로 6 1동 1층 G125호(집현동)2023-09-26