Overview

Dataset statistics

Number of variables7
Number of observations778
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory44.2 KiB
Average record size in memory58.2 B

Variable types

Text3
Categorical1
Numeric2
DateTime1

Dataset

Description대구광역시 북구 관내 부동산 중개업소 현황(중개소명, 소재지도로명주소, 등록번호, 연락처 등) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/3075368/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
상태구분 is highly imbalanced (95.4%)Imbalance

Reproduction

Analysis started2024-03-14 17:41:13.872560
Analysis finished2024-03-14 17:41:15.962844
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

중개소명
Text

Distinct769
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-15T02:41:16.619992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length11.728792
Min length6

Characters and Unicode

Total characters9125
Distinct characters343
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

Unique761 ?
Unique (%)97.8%

Sample

1st row삼일부동산중개사무소
2nd row대성부동산중개인사무소
3rd row형제부동산중개인사무소
4th row영신공인중개사사무소
5th row청구유성공인중개사
ValueCountFrequency (%)
주)한국부동산중개법인 3
 
0.4%
운암탑공인중개사사무소 2
 
0.3%
행복드림공인중개사사무소 2
 
0.3%
스타해모로공인중개사사무소 2
 
0.3%
로부동산중개법인주식회사 2
 
0.3%
대구공인중개사사무소 2
 
0.3%
우리공인중개사공동사무소 2
 
0.3%
원공인중개사사무소 2
 
0.3%
박사공인중개사사무소 1
 
0.1%
서한이다음공인중개사사무소 1
 
0.1%
Other values (759) 759
97.6%
2024-03-15T02:41:17.973986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1478
16.2%
중 781
 
8.6%
개 780
 
8.5%
소 748
 
8.2%
무 744
 
8.2%
인 743
 
8.1%
공 737
 
8.1%
동 182
 
2.0%
산 166
 
1.8%
부 165
 
1.8%
Other values (333) 2601
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8958
98.2%
Decimal Number 84
 
0.9%
Uppercase Letter 39
 
0.4%
Lowercase Letter 28
 
0.3%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1478
16.5%
중 781
 
8.7%
개 780
 
8.7%
소 748
 
8.4%
무 744
 
8.3%
인 743
 
8.3%
공 737
 
8.2%
동 182
 
2.0%
산 166
 
1.9%
부 165
 
1.8%
Other values (300) 2434
27.2%
Uppercase Letter
ValueCountFrequency (%)
H 7
17.9%
T 6
15.4%
E 5
12.8%
K 3
7.7%
W 3
7.7%
N 3
7.7%
A 3
7.7%
B 3
7.7%
L 2
 
5.1%
S 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 25
29.8%
3 16
19.0%
5 10
 
11.9%
2 10
 
11.9%
0 8
 
9.5%
4 7
 
8.3%
6 4
 
4.8%
7 2
 
2.4%
9 1
 
1.2%
8 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 17
60.7%
w 4
 
14.3%
n 2
 
7.1%
o 1
 
3.6%
a 1
 
3.6%
h 1
 
3.6%
c 1
 
3.6%
f 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8958
98.2%
Common 100
 
1.1%
Latin 67
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1478
16.5%
중 781
 
8.7%
개 780
 
8.7%
소 748
 
8.4%
무 744
 
8.3%
인 743
 
8.3%
공 737
 
8.2%
동 182
 
2.0%
산 166
 
1.9%
부 165
 
1.8%
Other values (300) 2434
27.2%
Latin
ValueCountFrequency (%)
e 17
25.4%
H 7
10.4%
T 6
 
9.0%
E 5
 
7.5%
w 4
 
6.0%
K 3
 
4.5%
W 3
 
4.5%
N 3
 
4.5%
A 3
 
4.5%
B 3
 
4.5%
Other values (9) 13
19.4%
Common
ValueCountFrequency (%)
1 25
25.0%
3 16
16.0%
5 10
 
10.0%
2 10
 
10.0%
0 8
 
8.0%
4 7
 
7.0%
( 5
 
5.0%
) 5
 
5.0%
- 4
 
4.0%
6 4
 
4.0%
Other values (4) 6
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8958
98.2%
ASCII 167
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1478
16.5%
중 781
 
8.7%
개 780
 
8.7%
소 748
 
8.4%
무 744
 
8.3%
인 743
 
8.3%
공 737
 
8.2%
동 182
 
2.0%
산 166
 
1.9%
부 165
 
1.8%
Other values (300) 2434
27.2%
ASCII
ValueCountFrequency (%)
1 25
15.0%
e 17
 
10.2%
3 16
 
9.6%
5 10
 
6.0%
2 10
 
6.0%
0 8
 
4.8%
H 7
 
4.2%
4 7
 
4.2%
T 6
 
3.6%
E 5
 
3.0%
Other values (23) 56
33.5%

소재지도로명주소
Text

Distinct750
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-15T02:41:19.774654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length32.16581
Min length15

Characters and Unicode

Total characters25025
Distinct characters253
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

Unique724 ?
Unique (%)93.1%

Sample

1st row대구광역시 북구 동북로 163, 상가 102동 105호(산격동, 산격대우아파트)
2nd row대구광역시 북구 칠곡중앙대로 532(읍내동)
3rd row대구광역시 북구 대동로1길 67(산격동)
4th row대구광역시 북구 신암로 61-1, 2층(대현동)
5th row대구광역시 북구 유통단지로13길 54, B동 1층(산격동)
ValueCountFrequency (%)
대구광역시 778
 
17.4%
북구 778
 
17.4%
상가동 85
 
1.9%
1층 50
 
1.1%
칠곡중앙대로 37
 
0.8%
상가 35
 
0.8%
칠성남로 30
 
0.7%
동북로 30
 
0.7%
50 23
 
0.5%
학정로 23
 
0.5%
Other values (1147) 2592
58.1%
2024-03-15T02:41:21.434086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3703
 
14.8%
구 1681
 
6.7%
1 1417
 
5.7%
동 1231
 
4.9%
대 1028
 
4.1%
북 864
 
3.5%
시 809
 
3.2%
역 804
 
3.2%
, 802
 
3.2%
광 782
 
3.1%
Other values (243) 11904
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14516
58.0%
Decimal Number 4432
 
17.7%
Space Separator 3703
 
14.8%
Other Punctuation 805
 
3.2%
Close Punctuation 707
 
2.8%
Open Punctuation 707
 
2.8%
Dash Punctuation 104
 
0.4%
Uppercase Letter 37
 
0.1%
Lowercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1681
 
11.6%
동 1231
 
8.5%
대 1028
 
7.1%
북 864
 
6.0%
시 809
 
5.6%
역 804
 
5.5%
광 782
 
5.4%
로 773
 
5.3%
호 428
 
2.9%
가 304
 
2.1%
Other values (211) 5812
40.0%
Decimal Number
ValueCountFrequency (%)
1 1417
32.0%
0 693
15.6%
2 595
13.4%
3 391
 
8.8%
5 341
 
7.7%
4 284
 
6.4%
6 219
 
4.9%
7 216
 
4.9%
9 164
 
3.7%
8 112
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
35.1%
H 4
 
10.8%
S 4
 
10.8%
I 4
 
10.8%
W 3
 
8.1%
A 3
 
8.1%
D 2
 
5.4%
C 2
 
5.4%
M 1
 
2.7%
L 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
e 9
64.3%
l 2
 
14.3%
t 1
 
7.1%
h 1
 
7.1%
w 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 802
99.6%
. 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3703
100.0%
Close Punctuation
ValueCountFrequency (%)
) 707
100.0%
Open Punctuation
ValueCountFrequency (%)
( 707
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14516
58.0%
Common 10458
41.8%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1681
 
11.6%
동 1231
 
8.5%
대 1028
 
7.1%
북 864
 
6.0%
시 809
 
5.6%
역 804
 
5.5%
광 782
 
5.4%
로 773
 
5.3%
호 428
 
2.9%
가 304
 
2.1%
Other values (211) 5812
40.0%
Common
ValueCountFrequency (%)
3703
35.4%
1 1417
 
13.5%
, 802
 
7.7%
) 707
 
6.8%
( 707
 
6.8%
0 693
 
6.6%
2 595
 
5.7%
3 391
 
3.7%
5 341
 
3.3%
4 284
 
2.7%
Other values (7) 818
 
7.8%
Latin
ValueCountFrequency (%)
B 13
25.5%
e 9
17.6%
H 4
 
7.8%
S 4
 
7.8%
I 4
 
7.8%
W 3
 
5.9%
A 3
 
5.9%
l 2
 
3.9%
D 2
 
3.9%
C 2
 
3.9%
Other values (5) 5
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14516
58.0%
ASCII 10509
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3703
35.2%
1 1417
 
13.5%
, 802
 
7.6%
) 707
 
6.7%
( 707
 
6.7%
0 693
 
6.6%
2 595
 
5.7%
3 391
 
3.7%
5 341
 
3.2%
4 284
 
2.7%
Other values (22) 869
 
8.3%
Hangul
ValueCountFrequency (%)
구 1681
 
11.6%
동 1231
 
8.5%
대 1028
 
7.1%
북 864
 
6.0%
시 809
 
5.6%
역 804
 
5.5%
광 782
 
5.4%
로 773
 
5.3%
호 428
 
2.9%
가 304
 
2.1%
Other values (211) 5812
40.0%

등록번호
Text

Distinct775
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-15T02:41:22.299171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.700514
Min length9

Characters and Unicode

Total characters10659
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)99.4%

Sample

1st row가-15-0037
2nd row가-15-0066
3rd row가-15-0095
4th row가-15-0193
5th row가-15-0407
ValueCountFrequency (%)
27230-2023-00089 3
 
0.4%
27230-2023-00006 2
 
0.3%
27230-2021-00042 1
 
0.1%
27230-2020-00152 1
 
0.1%
가-15-0037 1
 
0.1%
27230-2020-00154 1
 
0.1%
27230-2020-00137 1
 
0.1%
27230-2020-00138 1
 
0.1%
27230-2020-00139 1
 
0.1%
27230-2020-00142 1
 
0.1%
Other values (766) 766
98.3%
2024-03-15T02:41:23.419240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2730
25.6%
2 2308
21.7%
- 1556
14.6%
1 934
 
8.8%
3 823
 
7.7%
7 725
 
6.8%
5 480
 
4.5%
가 256
 
2.4%
9 233
 
2.2%
8 222
 
2.1%
Other values (5) 392
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8844
83.0%
Dash Punctuation 1556
 
14.6%
Other Letter 258
 
2.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2730
30.9%
2 2308
26.1%
1 934
 
10.6%
3 823
 
9.3%
7 725
 
8.2%
5 480
 
5.4%
9 233
 
2.6%
8 222
 
2.5%
6 207
 
2.3%
4 182
 
2.1%
Other Letter
ValueCountFrequency (%)
가 256
99.2%
제 1
 
0.4%
호 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 1556
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10401
97.6%
Hangul 258
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2730
26.2%
2 2308
22.2%
- 1556
15.0%
1 934
 
9.0%
3 823
 
7.9%
7 725
 
7.0%
5 480
 
4.6%
9 233
 
2.2%
8 222
 
2.1%
6 207
 
2.0%
Other values (2) 183
 
1.8%
Hangul
ValueCountFrequency (%)
가 256
99.2%
제 1
 
0.4%
호 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10401
97.6%
Hangul 258
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2730
26.2%
2 2308
22.2%
- 1556
15.0%
1 934
 
9.0%
3 823
 
7.9%
7 725
 
7.0%
5 480
 
4.6%
9 233
 
2.2%
8 222
 
2.1%
6 207
 
2.0%
Other values (2) 183
 
1.8%
Hangul
ValueCountFrequency (%)
가 256
99.2%
제 1
 
0.4%
호 1
 
0.4%

상태구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업중
772 
휴업연장
 
3
업무정지
 
3

Length

Max length4
Median length3
Mean length3.0077121
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 772
99.2%
휴업연장 3
 
0.4%
업무정지 3
 
0.4%

Length

2024-03-15T02:41:23.863680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:41:24.114229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 772
99.2%
휴업연장 3
 
0.4%
업무정지 3
 
0.4%

위도
Real number (ℝ)

Distinct594
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.913092
Minimum35.875656
Maximum35.954927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-15T02:41:24.322866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.875656
5-th percentile35.879941
Q135.8913
median35.909385
Q335.936913
95-th percentile35.951369
Maximum35.954927
Range0.07927147
Interquartile range (IQR)0.045612542

Descriptive statistics

Standard deviation0.024656782
Coefficient of variation (CV)0.00068656806
Kurtosis-1.4625118
Mean35.913092
Median Absolute Deviation (MAD)0.021857705
Skewness0.16622724
Sum27940.385
Variance0.00060795688
MonotonicityNot monotonic
2024-03-15T02:41:24.763664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.88519604 9
 
1.2%
35.88067907 7
 
0.9%
35.89891339 6
 
0.8%
35.89258902 6
 
0.8%
35.87876 5
 
0.6%
35.89006153 5
 
0.6%
35.95412174 5
 
0.6%
35.89034269 5
 
0.6%
35.94171711 5
 
0.6%
35.89066202 5
 
0.6%
Other values (584) 720
92.5%
ValueCountFrequency (%)
35.87565581 1
0.1%
35.87622448 1
0.1%
35.87654661 1
0.1%
35.87719723 1
0.1%
35.87734 1
0.1%
35.87776176 1
0.1%
35.87789572 1
0.1%
35.87797 1
0.1%
35.87802544 1
0.1%
35.878286 1
0.1%
ValueCountFrequency (%)
35.95492728 2
 
0.3%
35.954513 1
 
0.1%
35.954485 1
 
0.1%
35.95429934 1
 
0.1%
35.95412174 5
0.6%
35.95410767 1
 
0.1%
35.9537 1
 
0.1%
35.95363181 1
 
0.1%
35.95359 1
 
0.1%
35.9535622 1
 
0.1%

경도
Real number (ℝ)

Distinct586
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57861
Minimum128.28293
Maximum128.62814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-15T02:41:25.423770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.28293
5-th percentile128.54269
Q1128.55443
median128.57958
Q3128.60367
95-th percentile128.61985
Maximum128.62814
Range0.3452136
Interquartile range (IQR)0.04924485

Descriptive statistics

Standard deviation0.028974382
Coefficient of variation (CV)0.00022534372
Kurtosis12.519454
Mean128.57861
Median Absolute Deviation (MAD)0.0246996
Skewness-1.3062517
Sum100034.16
Variance0.00083951483
MonotonicityNot monotonic
2024-03-15T02:41:25.875773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5857 12
 
1.5%
128.591318 9
 
1.2%
128.5815704 7
 
0.9%
128.612519 6
 
0.8%
128.627348 6
 
0.8%
128.5908991 5
 
0.6%
128.5693835 5
 
0.6%
128.5932402 5
 
0.6%
128.6084719 5
 
0.6%
128.5587514 5
 
0.6%
Other values (576) 713
91.6%
ValueCountFrequency (%)
128.282927 1
0.1%
128.509 1
0.1%
128.5098653 1
0.1%
128.5121045 2
0.3%
128.5140794 1
0.1%
128.5145269 1
0.1%
128.5152355 1
0.1%
128.5159 1
0.1%
128.5175558 1
0.1%
128.5178529 1
0.1%
ValueCountFrequency (%)
128.6281406 1
 
0.1%
128.6276 1
 
0.1%
128.6275 2
 
0.3%
128.627348 6
0.8%
128.626 1
 
0.1%
128.6257161 2
 
0.3%
128.6255643 1
 
0.1%
128.6255572 1
 
0.1%
128.6251544 1
 
0.1%
128.6247378 1
 
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2023-12-28 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T02:41:26.235133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:41:26.533777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:41:15.118553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:41:14.553704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:41:15.408531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:41:14.837020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:41:26.751206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태구분위도경도
상태구분1.0000.0640.000
위도0.0641.0000.636
경도0.0000.6361.000
2024-03-15T02:41:27.000260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도상태구분
위도1.000-0.4550.037
경도-0.4551.0000.000
상태구분0.0370.0001.000

Missing values

2024-03-15T02:41:15.649498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:41:15.880818image/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

중개소명소재지도로명주소등록번호상태구분위도경도데이터기준일자
0삼일부동산중개사무소대구광역시 북구 동북로 163, 상가 102동 105호(산격동, 산격대우아파트)가-15-0037영업중35.898913128.6125192023-12-28
1대성부동산중개인사무소대구광역시 북구 칠곡중앙대로 532(읍내동)가-15-0066영업중35.942926128.5509852023-12-28
2형제부동산중개인사무소대구광역시 북구 대동로1길 67(산격동)가-15-0095영업중35.89702128.6133122023-12-28
3영신공인중개사사무소대구광역시 북구 신암로 61-1, 2층(대현동)가-15-0193영업중35.877762128.607232023-12-28
4청구유성공인중개사대구광역시 북구 유통단지로13길 54, B동 1층(산격동)가-15-0407영업중35.911101128.6058872023-12-28
5새동인공인중개사사무소대구광역시 북구 산격로 97(산격동)가-15-0584영업중35.898731128.607212023-12-28
6에이스공인중개사사무소대구광역시 북구 팔거천동로 104, 상가 105동 101호(동천동, 보성서한타운)가-15-0617영업중35.932707128.5563922023-12-28
7동서공인중개사사무소대구광역시 북구 구암로32길 15, 상가동 101호(구암동, 칠곡건영아파트)가-15-0730영업중35.929599128.5576062023-12-28
8대백공인중개사사무소대구광역시 북구 팔거천동로24길 40, 상가 109호(동천동, 칠곡영남타운)가-15-0753영업중35.931719128.5606632023-12-28
9광역부동산공인중개사사무소대구광역시 북구 복현로 184(검단동)가-15-0866영업중35.905848128.619372023-12-28
중개소명소재지도로명주소등록번호상태구분위도경도데이터기준일자
768제이앤에스공인중개사사무소대구광역시 북구 동북로 247 ,상가동 211호(복현동, e편한세상복현)27230-2023-00111영업중35.89548128.61952023-12-28
769오페라스위첸1등부동산공인중개사사무소대구광역시 북구 칠성남로 50 ,근린생활시설동 107호(고성동1가, 대구역 오페라W)27230-2023-00112영업중35.87876128.58572023-12-28
770THE착한공인중개사사무소대구광역시 북구 칠곡중앙대로67길 9-1 , 1층(태전동)27230-2023-00090영업중35.92633128.54592023-12-28
771자이더스타공인중개사사무소대구광역시 북구 칠성남로 129 ,(칠성동2가)27230-2022-00112영업중35.87797128.59472023-12-28
772대성공인중개사사무소대구광역시 북구 오봉로 123 1층(노원동3가)27230-2022-00109영업중35.89849128.5792023-12-28
773선린부동산공인중개사사무소대구광역시 북구 산격로 95 1층 101호 (산격동)27230-2023-00063영업중35.8986128.60712023-12-28
774e편한오렌지공인중개사사무소대구광역시 북구 동북로 247 상가 204호 (복현동, e편한세상복현)27230-2023-00064영업중35.89548128.61962023-12-28
775운암탑공인중개사사무소대구광역시 북구 구암로 274 1층 (구암동)27230-2023-00065영업중35.93579128.56672023-12-28
776행운탑부동산공인중개사사무소대구광역시 북구 칠곡중앙대로 566 1층(읍내동)27230-2023-00066영업중35.94614128.55152023-12-28
777오페라스위첸부동산중개대구광역시 북구 칠성남로 55-2 (고성동2가)27230-2022-00068영업중35.87996128.58632023-12-28

Duplicate rows

Most frequently occurring

중개소명소재지도로명주소등록번호상태구분위도경도데이터기준일자# duplicates
0로부동산중개법인주식회사대구광역시 북구 칠성남로 55-1 (고성동2가)27230-2023-00006영업중35.88128.58622023-12-282