Overview

Dataset statistics

Number of variables9
Number of observations1290
Missing cells645
Missing cells (%)5.6%
Duplicate rows9
Duplicate rows (%)0.7%
Total size in memory94.6 KiB
Average record size in memory75.1 B

Variable types

Text2
Numeric2
DateTime1
Categorical4

Dataset

Description경상남도 하동군에 위치한 신축 건축물 중 2019년도부터 인허가 된 건축물의 건축지역, 연면적, 허가일, 지상층수, 지하층수, 주용도, 부속용도 데이터
URLhttps://www.data.go.kr/data/15118632/fileData.do

Alerts

Dataset has 9 (0.7%) duplicate rowsDuplicates
주용도 is highly overall correlated with 인허가정보 and 1 other fieldsHigh correlation
기타유의사항 is highly overall correlated with 연면적 and 4 other fieldsHigh correlation
인허가정보 is highly overall correlated with 주용도 and 1 other fieldsHigh correlation
지하층수 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 지하층수 and 1 other fieldsHigh correlation
지상층수 is highly overall correlated with 기타유의사항High correlation
지하층수 is highly imbalanced (92.0%)Imbalance
주용도 is highly imbalanced (52.1%)Imbalance
부속용도 has 645 (50.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:35:36.246427
Analysis finished2023-12-12 11:35:38.023760
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축지역
Text

Distinct1249
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-12T20:35:38.458826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.739535
Min length18

Characters and Unicode

Total characters29334
Distinct characters130
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

Unique1219 ?
Unique (%)94.5%

Sample

1st row경상남도 하동군 악양면 신흥리 428
2nd row경상남도 하동군 고전면 범아리 314-4
3rd row경상남도 하동군 횡천면 남산리 429-9
4th row경상남도 하동군 악양면 정동리 592-6
5th row경상남도 하동군 진교면 관곡리 608-1
ValueCountFrequency (%)
경상남도 1290
18.7%
하동군 1290
18.7%
옥종면 227
 
3.3%
외1필지 206
 
3.0%
악양면 168
 
2.4%
화개면 143
 
2.1%
하동읍 135
 
2.0%
진교면 124
 
1.8%
산 117
 
1.7%
금남면 92
 
1.3%
Other values (1271) 3092
44.9%
2023-12-12T20:35:39.344044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5594
19.1%
동 1460
 
5.0%
하 1429
 
4.9%
남 1393
 
4.7%
상 1321
 
4.5%
도 1312
 
4.5%
경 1290
 
4.4%
군 1290
 
4.4%
리 1289
 
4.4%
1 1160
 
4.0%
Other values (120) 11796
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17769
60.6%
Space Separator 5594
 
19.1%
Decimal Number 5125
 
17.5%
Dash Punctuation 846
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1460
 
8.2%
하 1429
 
8.0%
남 1393
 
7.8%
상 1321
 
7.4%
도 1312
 
7.4%
경 1290
 
7.3%
군 1290
 
7.3%
리 1289
 
7.3%
면 1155
 
6.5%
지 347
 
2.0%
Other values (108) 5483
30.9%
Decimal Number
ValueCountFrequency (%)
1 1160
22.6%
2 676
13.2%
3 579
11.3%
4 455
 
8.9%
5 431
 
8.4%
6 415
 
8.1%
7 382
 
7.5%
8 369
 
7.2%
0 332
 
6.5%
9 326
 
6.4%
Space Separator
ValueCountFrequency (%)
5594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 846
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17769
60.6%
Common 11565
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1460
 
8.2%
하 1429
 
8.0%
남 1393
 
7.8%
상 1321
 
7.4%
도 1312
 
7.4%
경 1290
 
7.3%
군 1290
 
7.3%
리 1289
 
7.3%
면 1155
 
6.5%
지 347
 
2.0%
Other values (108) 5483
30.9%
Common
ValueCountFrequency (%)
5594
48.4%
1 1160
 
10.0%
- 846
 
7.3%
2 676
 
5.8%
3 579
 
5.0%
4 455
 
3.9%
5 431
 
3.7%
6 415
 
3.6%
7 382
 
3.3%
8 369
 
3.2%
Other values (2) 658
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17769
60.6%
ASCII 11565
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5594
48.4%
1 1160
 
10.0%
- 846
 
7.3%
2 676
 
5.8%
3 579
 
5.0%
4 455
 
3.9%
5 431
 
3.7%
6 415
 
3.6%
7 382
 
3.3%
8 369
 
3.2%
Other values (2) 658
 
5.7%
Hangul
ValueCountFrequency (%)
동 1460
 
8.2%
하 1429
 
8.0%
남 1393
 
7.8%
상 1321
 
7.4%
도 1312
 
7.4%
경 1290
 
7.3%
군 1290
 
7.3%
리 1289
 
7.3%
면 1155
 
6.5%
지 347
 
2.0%
Other values (108) 5483
30.9%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct1119
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.82682
Minimum9.9
Maximum10562.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-12T20:35:39.631550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.9
5-th percentile42
Q175.4875
median105.295
Q3176.1875
95-th percentile755.10487
Maximum10562.37
Range10552.47
Interquartile range (IQR)100.7

Descriptive statistics

Standard deviation529.32149
Coefficient of variation (CV)2.3233502
Kurtosis147.49626
Mean227.82682
Median Absolute Deviation (MAD)40.465
Skewness10.015185
Sum293896.6
Variance280181.24
MonotonicityNot monotonic
2023-12-12T20:35:39.888538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.65 13
 
1.0%
49.5 12
 
0.9%
61.45 7
 
0.5%
85.36 7
 
0.5%
198.0 6
 
0.5%
196.0 5
 
0.4%
93.99 5
 
0.4%
70.0 5
 
0.4%
72.0 5
 
0.4%
66.0 5
 
0.4%
Other values (1109) 1220
94.6%
ValueCountFrequency (%)
9.9 1
0.1%
10.0 1
0.1%
10.03 1
0.1%
10.6 1
0.1%
11.65 1
0.1%
13.68 1
0.1%
16.2 1
0.1%
17.36 1
0.1%
18.0 2
0.2%
18.68 1
0.1%
ValueCountFrequency (%)
10562.37 1
0.1%
6581.69 1
0.1%
6165.67 1
0.1%
3898.2 1
0.1%
3608.28 1
0.1%
3052.63 1
0.1%
3005.3368 1
0.1%
2937.75 1
0.1%
2832.5151 1
0.1%
2781.836 1
0.1%

허가일
Date

Distinct718
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2019-01-02 00:00:00
Maximum2023-08-03 00:00:00
2023-12-12T20:35:40.119528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:35:40.349117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지상층수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2689922
Minimum0
Maximum13
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-12T20:35:40.568138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.70774267
Coefficient of variation (CV)0.55772024
Kurtosis93.993381
Mean1.2689922
Median Absolute Deviation (MAD)0
Skewness7.3223933
Sum1637
Variance0.50089968
MonotonicityNot monotonic
2023-12-12T20:35:40.779218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1012
78.4%
2 245
 
19.0%
3 15
 
1.2%
4 12
 
0.9%
5 2
 
0.2%
13 1
 
0.1%
8 1
 
0.1%
11 1
 
0.1%
0 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 1012
78.4%
2 245
 
19.0%
3 15
 
1.2%
4 12
 
0.9%
5 2
 
0.2%
8 1
 
0.1%
11 1
 
0.1%
13 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
11 1
 
0.1%
8 1
 
0.1%
5 2
 
0.2%
4 12
 
0.9%
3 15
 
1.2%
2 245
 
19.0%
1 1012
78.4%
0 1
 
0.1%

지하층수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
0
1262 
1
 
26
<NA>
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.0023256
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1262
97.8%
1 26
 
2.0%
<NA> 1
 
0.1%
3 1
 
0.1%

Length

2023-12-12T20:35:41.107228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:35:41.309194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1262
97.8%
1 26
 
2.0%
na 1
 
0.1%
3 1
 
0.1%

주용도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
단독주택
769 
창고시설
152 
제2종근린생활시설
119 
제1종근린생활시설
116 
동물및식물관련시설
 
54
Other values (16)
80 

Length

Max length10
Median length4
Mean length5.1968992
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row단독주택
2nd row제2종근린생활시설
3rd row단독주택
4th row단독주택
5th row동물및식물관련시설

Common Values

ValueCountFrequency (%)
단독주택 769
59.6%
창고시설 152
 
11.8%
제2종근린생활시설 119
 
9.2%
제1종근린생활시설 116
 
9.0%
동물및식물관련시설 54
 
4.2%
야영장시설 12
 
0.9%
발전시설 11
 
0.9%
자원순환관련시설 11
 
0.9%
공동주택 7
 
0.5%
공장 7
 
0.5%
Other values (11) 32
 
2.5%

Length

2023-12-12T20:35:41.530257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 769
59.6%
창고시설 152
 
11.8%
제2종근린생활시설 119
 
9.2%
제1종근린생활시설 116
 
9.0%
동물및식물관련시설 54
 
4.2%
야영장시설 12
 
0.9%
발전시설 11
 
0.9%
자원순환관련시설 11
 
0.9%
공동주택 7
 
0.5%
공장 7
 
0.5%
Other values (11) 32
 
2.5%

부속용도
Text

MISSING 

Distinct227
Distinct (%)35.2%
Missing645
Missing (%)50.0%
Memory size10.2 KiB
2023-12-12T20:35:41.852310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length5.5844961
Min length2

Characters and Unicode

Total characters3602
Distinct characters198
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)25.1%

Sample

1st row농가주택
2nd row제조업소떡방앗간
3rd row단독주택
4th row축사-곤충사육시설-굼벵이
5th row축사-곤충사육시설-굼벵이
ValueCountFrequency (%)
단독주택 85
 
11.2%
농가주택 81
 
10.7%
농가창고 62
 
8.2%
및 47
 
6.2%
소매점 36
 
4.7%
사무소 24
 
3.2%
축사 19
 
2.5%
휴게음식점 16
 
2.1%
제조업소 15
 
2.0%
일반음식점 15
 
2.0%
Other values (199) 359
47.3%
2023-12-12T20:35:42.458888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 226
 
6.3%
농 217
 
6.0%
택 216
 
6.0%
가 199
 
5.5%
고 129
 
3.6%
창 126
 
3.5%
119
 
3.3%
소 114
 
3.2%
사 106
 
2.9%
단 95
 
2.6%
Other values (188) 2055
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3318
92.1%
Space Separator 119
 
3.3%
Close Punctuation 59
 
1.6%
Open Punctuation 59
 
1.6%
Decimal Number 20
 
0.6%
Other Punctuation 13
 
0.4%
Dash Punctuation 11
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 226
 
6.8%
농 217
 
6.5%
택 216
 
6.5%
가 199
 
6.0%
고 129
 
3.9%
창 126
 
3.8%
소 114
 
3.4%
사 106
 
3.2%
단 95
 
2.9%
시 95
 
2.9%
Other values (175) 1795
54.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
L 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 58
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 58
98.3%
[ 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 13
65.0%
1 7
35.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
61.5%
: 5
38.5%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3318
92.1%
Common 281
 
7.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 226
 
6.8%
농 217
 
6.5%
택 216
 
6.5%
가 199
 
6.0%
고 129
 
3.9%
창 126
 
3.8%
소 114
 
3.4%
사 106
 
3.2%
단 95
 
2.9%
시 95
 
2.9%
Other values (175) 1795
54.1%
Common
ValueCountFrequency (%)
119
42.3%
) 58
20.6%
( 58
20.6%
2 13
 
4.6%
- 11
 
3.9%
/ 8
 
2.8%
1 7
 
2.5%
: 5
 
1.8%
] 1
 
0.4%
[ 1
 
0.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3317
92.1%
ASCII 284
 
7.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 226
 
6.8%
농 217
 
6.5%
택 216
 
6.5%
가 199
 
6.0%
고 129
 
3.9%
창 126
 
3.8%
소 114
 
3.4%
사 106
 
3.2%
단 95
 
2.9%
시 95
 
2.9%
Other values (174) 1794
54.1%
ASCII
ValueCountFrequency (%)
119
41.9%
) 58
20.4%
( 58
20.4%
2 13
 
4.6%
- 11
 
3.9%
/ 8
 
2.8%
1 7
 
2.5%
: 5
 
1.8%
] 1
 
0.4%
[ 1
 
0.4%
Other values (3) 3
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

인허가정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
신축신고
1123 
신축허가
167 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축신고 1123
87.1%
신축허가 167
 
12.9%

Length

2023-12-12T20:35:42.698696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:35:42.885199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축신고 1123
87.1%
신축허가 167
 
12.9%

기타유의사항
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
645 
부속용도 부존재
645 

Length

Max length8
Median length6
Mean length6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row부속용도 부존재
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 645
50.0%
부속용도 부존재 645
50.0%

Length

2023-12-12T20:35:43.101214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:35:43.311637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
33.3%
부속용도 645
33.3%
부존재 645
33.3%

Interactions

2023-12-12T20:35:37.335116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:35:36.962556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:35:37.475205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:35:37.169064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:35:43.435013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적지상층수지하층수주용도인허가정보
연면적1.0000.6620.6350.7550.405
지상층수0.6621.0000.3860.7230.412
지하층수0.6350.3861.0000.5450.141
주용도0.7550.7230.5451.0000.585
인허가정보0.4050.4120.1410.5851.000
2023-12-12T20:35:43.596415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도기타유의사항인허가정보지하층수
주용도1.0001.0000.5150.298
기타유의사항1.0001.0001.0001.000
인허가정보0.5151.0001.0000.233
지하층수0.2981.0000.2331.000
2023-12-12T20:35:44.276711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적지상층수지하층수주용도인허가정보기타유의사항
연면적1.0000.3890.5330.3900.4331.000
지상층수0.3891.0000.2820.3600.4401.000
지하층수0.5330.2821.0000.2980.2331.000
주용도0.3900.3600.2981.0000.5151.000
인허가정보0.4330.4400.2330.5151.0001.000
기타유의사항1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T20:35:37.704312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:35:37.937284image/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

건축지역연면적허가일지상층수지하층수주용도부속용도인허가정보기타유의사항
0경상남도 하동군 악양면 신흥리 42886.872019-01-0210단독주택농가주택신축신고<NA>
1경상남도 하동군 고전면 범아리 314-465.992019-01-0410제2종근린생활시설제조업소떡방앗간신축신고<NA>
2경상남도 하동군 횡천면 남산리 429-985.922019-01-0810단독주택<NA>신축신고부속용도 부존재
3경상남도 하동군 악양면 정동리 592-668.082019-01-1110단독주택단독주택신축신고<NA>
4경상남도 하동군 진교면 관곡리 608-1144.02019-01-1410동물및식물관련시설축사-곤충사육시설-굼벵이신축신고<NA>
5경상남도 하동군 진교면 관곡리 606-2288.02019-01-1410동물및식물관련시설축사-곤충사육시설-굼벵이신축신고<NA>
6경상남도 하동군 진교면 관곡리 608-2444.02019-01-1410동물및식물관련시설축사(곤충사육시설-굼벵이)신축신고<NA>
7경상남도 하동군 청암면 상이리 1255 외1필지142.832019-01-1520단독주택단독주택신축신고<NA>
8경상남도 하동군 고전면 범아리 892152.342019-01-1610동물및식물관련시설축사신축신고<NA>
9경상남도 하동군 하동읍 비파리 250545.532019-01-1720운수시설여객 자동차 터미널신축허가<NA>
건축지역연면적허가일지상층수지하층수주용도부속용도인허가정보기타유의사항
1280경상남도 하동군 금남면 대치리 718-678.692023-07-1310단독주택<NA>신축신고부속용도 부존재
1281경상남도 하동군 악양면 동매리 71967.12023-07-1710창고시설곶감건조장신축신고<NA>
1282경상남도 하동군 하동읍 화심리 76-1230.82023-07-2010제2종근린생활시설제조업소(농업용) 및 부속창고신축신고<NA>
1283경상남도 하동군 청암면 상이리 산 84-266.692023-07-2410단독주택<NA>신축신고부속용도 부존재
1284경상남도 하동군 적량면 고절리 955103.952023-07-2510단독주택<NA>신축신고부속용도 부존재
1285경상남도 하동군 금남면 중평리 산 44 외1필지83.792023-07-2610단독주택<NA>신축신고부속용도 부존재
1286경상남도 하동군 악양면 정서리 642-56 외1필지263.462023-07-2710제1종근린생활시설<NA>신축신고부속용도 부존재
1287경상남도 하동군 악양면 봉대리 501-1196.382023-08-0120제2종근린생활시설창고시설신축신고<NA>
1288경상남도 하동군 하동읍 화심리 1373-1159.162023-08-0110단독주택<NA>신축신고부속용도 부존재
1289경상남도 하동군 화개면 탑리 318 외2필지240.482023-08-0320단독주택<NA>신축신고부속용도 부존재

Duplicate rows

Most frequently occurring

건축지역연면적허가일지상층수지하층수주용도부속용도인허가정보기타유의사항# duplicates
4경상남도 하동군 옥종면 대곡리 산 156-874.652023-03-1410단독주택<NA>신축신고부속용도 부존재7
0경상남도 하동군 고전면 대덕리 665-571.522019-10-2110단독주택<NA>신축신고부속용도 부존재2
1경상남도 하동군 금남면 대치리 718-678.692023-07-1310단독주택<NA>신축신고부속용도 부존재2
2경상남도 하동군 금남면 중평리 산 79-42 외1필지95.872022-08-2510단독주택<NA>신축신고부속용도 부존재2
3경상남도 하동군 악양면 중대리 89495.22023-06-0110창고시설<NA>신축신고부속용도 부존재2
5경상남도 하동군 옥종면 대곡리 산 156-8 외2필지74.652023-03-1510단독주택<NA>신축신고부속용도 부존재2
6경상남도 하동군 옥종면 안계리 458 외1필지85.362023-03-0610단독주택<NA>신축신고부속용도 부존재2
7경상남도 하동군 옥종면 안계리 458 외2필지85.362023-03-0610단독주택<NA>신축신고부속용도 부존재2
8경상남도 하동군 화개면 삼신리 112 외1필지196.022019-10-2410단독주택다가구주택신축신고<NA>2