Overview

Dataset statistics

Number of variables10
Number of observations773
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.0 KiB
Average record size in memory82.2 B

Variable types

Numeric1
Categorical6
Text2
DateTime1

Dataset

Description부산광역시_강서구_임대주택현황_20230321
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026136

Alerts

관리시군구명 has constant value ""Constant
임대주택 호수 has constant value ""Constant
연번 is highly overall correlated with 임대주택 구분 and 2 other fieldsHigh correlation
임대주택 구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
임대주택 종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
임대주택 유형 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
영업구분 is highly imbalanced (52.4%)Imbalance
연번 has unique valuesUnique
임대물건지 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:43:56.633905
Analysis finished2023-12-10 16:43:58.276553
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct773
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387
Minimum1
Maximum773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T01:43:58.483636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.6
Q1194
median387
Q3580
95-th percentile734.4
Maximum773
Range772
Interquartile range (IQR)386

Descriptive statistics

Standard deviation223.29017
Coefficient of variation (CV)0.57697718
Kurtosis-1.2
Mean387
Median Absolute Deviation (MAD)193
Skewness0
Sum299151
Variance49858.5
MonotonicityStrictly increasing
2023-12-11T01:43:58.852171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
485 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
Other values (763) 763
98.7%
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 (%)
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%

영업구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
등록영업중
694 
전입영업중
79 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록영업중 694
89.8%
전입영업중 79
 
10.2%

Length

2023-12-11T01:43:59.171984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:43:59.323274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록영업중 694
89.8%
전입영업중 79
 
10.2%

관리시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
부산광역시 강서구
773 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 강서구
2nd row부산광역시 강서구
3rd row부산광역시 강서구
4th row부산광역시 강서구
5th row부산광역시 강서구

Common Values

ValueCountFrequency (%)
부산광역시 강서구 773
100.0%

Length

2023-12-11T01:43:59.569631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:43:59.731406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 773
50.0%
강서구 773
50.0%

등록번호
Text

Distinct288
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T01:44:00.058502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.812419
Min length16

Characters and Unicode

Total characters13769
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)26.3%

Sample

1st row2022-강서구-임대사업자-98
2nd row2022-강서구-임대사업자-98
3rd row2022-강서구-임대사업자-98
4th row2022-강서구-임대사업자-98
5th row2022-강서구-임대사업자-98
ValueCountFrequency (%)
2018-강서구-임대사업자-959 224
29.0%
2022-강서구-임대사업자-98 28
 
3.6%
2018-강서구-임대사업자-1053 24
 
3.1%
2019-강서구-임대사업자-263 22
 
2.8%
2020-강서구-임대사업자-171 16
 
2.1%
2016-강서구-임대사업자-482 14
 
1.8%
2019-강서구-임대사업자-96 10
 
1.3%
2018-강서구-임대사업자-1060 8
 
1.0%
2012-강서구-임대사업자-56 7
 
0.9%
2019-강서구-임대사업자-102 7
 
0.9%
Other values (278) 413
53.4%
2023-12-11T01:44:00.592626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2319
16.8%
2 1340
 
9.7%
0 969
 
7.0%
1 881
 
6.4%
임 773
 
5.6%
자 773
 
5.6%
업 773
 
5.6%
사 773
 
5.6%
대 773
 
5.6%
구 773
 
5.6%
Other values (9) 3622
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6184
44.9%
Decimal Number 5266
38.2%
Dash Punctuation 2319
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1340
25.4%
0 969
18.4%
1 881
16.7%
9 707
13.4%
8 448
 
8.5%
5 339
 
6.4%
6 172
 
3.3%
3 171
 
3.2%
7 124
 
2.4%
4 115
 
2.2%
Other Letter
ValueCountFrequency (%)
임 773
12.5%
자 773
12.5%
업 773
12.5%
사 773
12.5%
대 773
12.5%
구 773
12.5%
서 773
12.5%
강 773
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 2319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7585
55.1%
Hangul 6184
44.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2319
30.6%
2 1340
17.7%
0 969
12.8%
1 881
 
11.6%
9 707
 
9.3%
8 448
 
5.9%
5 339
 
4.5%
6 172
 
2.3%
3 171
 
2.3%
7 124
 
1.6%
Hangul
ValueCountFrequency (%)
임 773
12.5%
자 773
12.5%
업 773
12.5%
사 773
12.5%
대 773
12.5%
구 773
12.5%
서 773
12.5%
강 773
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7585
55.1%
Hangul 6184
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2319
30.6%
2 1340
17.7%
0 969
12.8%
1 881
 
11.6%
9 707
 
9.3%
8 448
 
5.9%
5 339
 
4.5%
6 172
 
2.3%
3 171
 
2.3%
7 124
 
1.6%
Hangul
ValueCountFrequency (%)
임 773
12.5%
자 773
12.5%
업 773
12.5%
사 773
12.5%
대 773
12.5%
구 773
12.5%
서 773
12.5%
강 773
12.5%

등록일
Date

Distinct195
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2002-04-08 00:00:00
Maximum2022-09-26 00:00:00
2023-12-11T01:44:00.828007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:44:01.037201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

임대물건지 주소
Text

UNIQUE 

Distinct773
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T01:44:01.465655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length53
Mean length45.382924
Min length10

Characters and Unicode

Total characters35081
Distinct characters166
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

Unique773 ?
Unique (%)100.0%

Sample

1st row부산광역시 강서구 체육공원로26번길 152 402호 (대저1동, 투엑스원룸)
2nd row부산광역시 강서구 체육공원로26번길 152 403호 (대저1동, 투엑스원룸)
3rd row부산광역시 강서구 체육공원로26번길 152 404호 (대저1동, 투엑스원룸)
4th row부산광역시 강서구 체육공원로26번길 152 405호 (대저1동, 투엑스원룸)
5th row부산광역시 강서구 체육공원로26번길 152 406호 (대저1동, 투엑스원룸)
ValueCountFrequency (%)
부산광역시 772
 
12.2%
강서구 767
 
12.1%
명지동 361
 
5.7%
대저2동 239
 
3.8%
공항앞길13번길 224
 
3.5%
53 224
 
3.5%
공항마을 182
 
2.9%
리베르하임 182
 
2.9%
주상복합 182
 
2.9%
202동 113
 
1.8%
Other values (599) 3105
48.9%
2023-12-11T01:44:02.096081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5589
 
15.9%
1 1608
 
4.6%
2 1419
 
4.0%
동 1402
 
4.0%
0 1200
 
3.4%
3 1086
 
3.1%
산 988
 
2.8%
시 947
 
2.7%
부 869
 
2.5%
지 866
 
2.5%
Other values (156) 19107
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19875
56.7%
Decimal Number 7541
 
21.5%
Space Separator 5589
 
15.9%
Open Punctuation 704
 
2.0%
Close Punctuation 704
 
2.0%
Other Punctuation 349
 
1.0%
Dash Punctuation 181
 
0.5%
Uppercase Letter 136
 
0.4%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1402
 
7.1%
산 988
 
5.0%
시 947
 
4.8%
부 869
 
4.4%
지 866
 
4.4%
명 831
 
4.2%
강 790
 
4.0%
구 782
 
3.9%
서 778
 
3.9%
역 772
 
3.9%
Other values (131) 10850
54.6%
Decimal Number
ValueCountFrequency (%)
1 1608
21.3%
2 1419
18.8%
0 1200
15.9%
3 1086
14.4%
5 632
 
8.4%
6 417
 
5.5%
4 374
 
5.0%
7 323
 
4.3%
9 320
 
4.2%
8 162
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
A 49
36.0%
C 29
21.3%
B 27
19.9%
S 10
 
7.4%
T 7
 
5.1%
O 7
 
5.1%
L 3
 
2.2%
H 3
 
2.2%
D 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5589
100.0%
Open Punctuation
ValueCountFrequency (%)
( 704
100.0%
Close Punctuation
ValueCountFrequency (%)
) 704
100.0%
Other Punctuation
ValueCountFrequency (%)
, 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19875
56.7%
Common 15068
43.0%
Latin 138
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1402
 
7.1%
산 988
 
5.0%
시 947
 
4.8%
부 869
 
4.4%
지 866
 
4.4%
명 831
 
4.2%
강 790
 
4.0%
구 782
 
3.9%
서 778
 
3.9%
역 772
 
3.9%
Other values (131) 10850
54.6%
Common
ValueCountFrequency (%)
5589
37.1%
1 1608
 
10.7%
2 1419
 
9.4%
0 1200
 
8.0%
3 1086
 
7.2%
( 704
 
4.7%
) 704
 
4.7%
5 632
 
4.2%
6 417
 
2.8%
4 374
 
2.5%
Other values (5) 1335
 
8.9%
Latin
ValueCountFrequency (%)
A 49
35.5%
C 29
21.0%
B 27
19.6%
S 10
 
7.2%
T 7
 
5.1%
O 7
 
5.1%
L 3
 
2.2%
H 3
 
2.2%
c 2
 
1.4%
D 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19875
56.7%
ASCII 15206
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5589
36.8%
1 1608
 
10.6%
2 1419
 
9.3%
0 1200
 
7.9%
3 1086
 
7.1%
( 704
 
4.6%
) 704
 
4.6%
5 632
 
4.2%
6 417
 
2.7%
4 374
 
2.5%
Other values (15) 1473
 
9.7%
Hangul
ValueCountFrequency (%)
동 1402
 
7.1%
산 988
 
5.0%
시 947
 
4.8%
부 869
 
4.4%
지 866
 
4.4%
명 831
 
4.2%
강 790
 
4.0%
구 782
 
3.9%
서 778
 
3.9%
역 772
 
3.9%
Other values (131) 10850
54.6%

임대주택 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
매입임대주택
471 
건설임대주택
302 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
매입임대주택 471
60.9%
건설임대주택 302
39.1%

Length

2023-12-11T01:44:02.296468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:02.417399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매입임대주택 471
60.9%
건설임대주택 302
39.1%

임대주택 종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
단기임대
283 
장기일반민간임대주택(10년)
235 
장기일반민간임대주택(8년)
158 
단기민간임대주택
66 
준공공임대
30 

Length

Max length15
Median length14
Mean length9.771022
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row장기일반민간임대주택(10년)
2nd row장기일반민간임대주택(10년)
3rd row장기일반민간임대주택(10년)
4th row장기일반민간임대주택(10년)
5th row장기일반민간임대주택(10년)

Common Values

ValueCountFrequency (%)
단기임대 283
36.6%
장기일반민간임대주택(10년) 235
30.4%
장기일반민간임대주택(8년) 158
20.4%
단기민간임대주택 66
 
8.5%
준공공임대 30
 
3.9%
매입임대주택 1
 
0.1%

Length

2023-12-11T01:44:02.579579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:02.747075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단기임대 283
36.6%
장기일반민간임대주택(10년 235
30.4%
장기일반민간임대주택(8년 158
20.4%
단기민간임대주택 66
 
8.5%
준공공임대 30
 
3.9%
매입임대주택 1
 
0.1%

임대주택 유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
준주택(오피스텔)
341 
아파트
223 
다가구주택
96 
단독주택
53 
다세대주택
 
32

Length

Max length12
Median length9
Mean length6.3725744
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아파트(도시형생활주택)
2nd row아파트(도시형생활주택)
3rd row아파트(도시형생활주택)
4th row아파트(도시형생활주택)
5th row아파트(도시형생활주택)

Common Values

ValueCountFrequency (%)
준주택(오피스텔) 341
44.1%
아파트 223
28.8%
다가구주택 96
 
12.4%
단독주택 53
 
6.9%
다세대주택 32
 
4.1%
아파트(도시형생활주택) 28
 
3.6%

Length

2023-12-11T01:44:02.951739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:03.118164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준주택(오피스텔 341
44.1%
아파트 223
28.8%
다가구주택 96
 
12.4%
단독주택 53
 
6.9%
다세대주택 32
 
4.1%
아파트(도시형생활주택 28
 
3.6%

임대주택 호수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
773 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 773
100.0%

Length

2023-12-11T01:44:03.455878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:03.605732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 773
100.0%

Interactions

2023-12-11T01:43:57.171976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:44:03.712987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분임대주택 구분임대주택 종류임대주택 유형
연번1.0000.3920.9270.8040.768
영업구분0.3921.0000.1600.3330.388
임대주택 구분0.9270.1601.0000.9200.884
임대주택 종류0.8040.3330.9201.0000.815
임대주택 유형0.7680.3880.8840.8151.000
2023-12-11T01:44:03.856015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임대주택 유형임대주택 종류영업구분임대주택 구분
임대주택 유형1.0000.4260.2780.696
임대주택 종류0.4261.0000.2390.747
영업구분0.2780.2391.0000.102
임대주택 구분0.6960.7470.1021.000
2023-12-11T01:44:04.003119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분임대주택 구분임대주택 종류임대주택 유형
연번1.0000.2990.7690.5910.542
영업구분0.2991.0000.1020.2390.278
임대주택 구분0.7690.1021.0000.7470.696
임대주택 종류0.5910.2390.7471.0000.426
임대주택 유형0.5420.2780.6960.4261.000

Missing values

2023-12-11T01:43:57.739011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:43:58.142675image/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

연번영업구분관리시군구명등록번호등록일임대물건지 주소임대주택 구분임대주택 종류임대주택 유형임대주택 호수
01등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 402호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
12등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 403호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
23등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 404호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
34등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 405호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
45등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 406호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
56등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 407호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
67등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 202호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
78등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 203호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
89등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 204호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
910등록영업중부산광역시 강서구2022-강서구-임대사업자-982022-09-26부산광역시 강서구 체육공원로26번길 152 205호 (대저1동, 투엑스원룸)매입임대주택장기일반민간임대주택(10년)아파트(도시형생활주택)1
연번영업구분관리시군구명등록번호등록일임대물건지 주소임대주택 구분임대주택 종류임대주택 유형임대주택 호수
763764전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 201실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
764765전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 202실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
765766전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 203실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
766767전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 205실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
767768전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 306실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
768769전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 305실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
769770전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 303실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
770771전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 206실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
771772전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 301실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1
772773전입영업중부산광역시 강서구2016-강서구-임대사업자-4822002-04-08부산광역시 강서구 화전산단4로6번길 25-24 1동 302실 (화전동)매입임대주택장기일반민간임대주택(8년)단독주택1