Overview

Dataset statistics

Number of variables9
Number of observations294
Missing cells112
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory76.4 B

Variable types

Numeric3
Text2
Categorical4

Dataset

Description2023년 7월 말일 기준, 경상남도 산청군 건축물 인허가 정보로 대지위치(건축지역), 연면적(㎡), 최대지상층수, 최대지하층수, 주용도, 부속용도 항목으로 구성되어 있습니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15119443

Alerts

데이터담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
최대지하층수 is highly imbalanced (80.2%)Imbalance
부속용도 has 112 (38.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:57:15.051574
Analysis finished2023-12-10 23:57:16.439389
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.5
Minimum1
Maximum294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T08:57:16.810754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.65
Q174.25
median147.5
Q3220.75
95-th percentile279.35
Maximum294
Range293
Interquartile range (IQR)146.5

Descriptive statistics

Standard deviation85.014705
Coefficient of variation (CV)0.57637088
Kurtosis-1.2
Mean147.5
Median Absolute Deviation (MAD)73.5
Skewness0
Sum43365
Variance7227.5
MonotonicityStrictly increasing
2023-12-11T08:57:16.952286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
186 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
Other values (284) 284
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%

대지위치
Text

Distinct284
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T08:57:17.193662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length23.265306
Min length18

Characters and Unicode

Total characters6840
Distinct characters97
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

Unique278 ?
Unique (%)94.6%

Sample

1st row경상남도 산청군 시천면 사리 900-157
2nd row경상남도 산청군 신등면 평지리 159
3rd row경상남도 산청군 단성면 방목리 685 외2필지
4th row경상남도 산청군 금서면 특리 1300-1
5th row경상남도 산청군 시천면 사리 726-1 외1필지
ValueCountFrequency (%)
경상남도 294
18.5%
산청군 294
18.5%
신안면 62
 
3.9%
산청읍 62
 
3.9%
외1필지 56
 
3.5%
시천면 47
 
3.0%
금서면 45
 
2.8%
하정리 40
 
2.5%
단성면 38
 
2.4%
매촌리 27
 
1.7%
Other values (356) 626
39.3%
2023-12-11T08:57:17.606928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1297
19.0%
산 408
 
6.0%
청 361
 
5.3%
1 301
 
4.4%
남 296
 
4.3%
도 295
 
4.3%
상 295
 
4.3%
경 294
 
4.3%
군 294
 
4.3%
리 294
 
4.3%
Other values (87) 2705
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4081
59.7%
Space Separator 1297
 
19.0%
Decimal Number 1253
 
18.3%
Dash Punctuation 209
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 408
 
10.0%
청 361
 
8.8%
남 296
 
7.3%
도 295
 
7.2%
상 295
 
7.2%
경 294
 
7.2%
군 294
 
7.2%
리 294
 
7.2%
면 232
 
5.7%
지 121
 
3.0%
Other values (75) 1191
29.2%
Decimal Number
ValueCountFrequency (%)
1 301
24.0%
2 167
13.3%
3 125
10.0%
6 122
9.7%
7 116
 
9.3%
4 100
 
8.0%
0 94
 
7.5%
5 93
 
7.4%
8 82
 
6.5%
9 53
 
4.2%
Space Separator
ValueCountFrequency (%)
1297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4081
59.7%
Common 2759
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 408
 
10.0%
청 361
 
8.8%
남 296
 
7.3%
도 295
 
7.2%
상 295
 
7.2%
경 294
 
7.2%
군 294
 
7.2%
리 294
 
7.2%
면 232
 
5.7%
지 121
 
3.0%
Other values (75) 1191
29.2%
Common
ValueCountFrequency (%)
1297
47.0%
1 301
 
10.9%
- 209
 
7.6%
2 167
 
6.1%
3 125
 
4.5%
6 122
 
4.4%
7 116
 
4.2%
4 100
 
3.6%
0 94
 
3.4%
5 93
 
3.4%
Other values (2) 135
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4081
59.7%
ASCII 2759
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1297
47.0%
1 301
 
10.9%
- 209
 
7.6%
2 167
 
6.1%
3 125
 
4.5%
6 122
 
4.4%
7 116
 
4.2%
4 100
 
3.6%
0 94
 
3.4%
5 93
 
3.4%
Other values (2) 135
 
4.9%
Hangul
ValueCountFrequency (%)
산 408
 
10.0%
청 361
 
8.8%
남 296
 
7.3%
도 295
 
7.2%
상 295
 
7.2%
경 294
 
7.2%
군 294
 
7.2%
리 294
 
7.2%
면 232
 
5.7%
지 121
 
3.0%
Other values (75) 1191
29.2%

연면적
Real number (ℝ)

Distinct282
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.22891
Minimum112.61
Maximum9943.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T08:57:17.780412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112.61
5-th percentile145.05975
Q1237.105
median386.94
Q3753
95-th percentile2577.196
Maximum9943.06
Range9830.45
Interquartile range (IQR)515.895

Descriptive statistics

Standard deviation1417.7762
Coefficient of variation (CV)1.691395
Kurtosis21.360194
Mean838.22891
Median Absolute Deviation (MAD)180.525
Skewness4.3591115
Sum246439.3
Variance2010089.4
MonotonicityNot monotonic
2023-12-11T08:57:17.941069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295.71 3
 
1.0%
227.2 3
 
1.0%
229.68 2
 
0.7%
580.04 2
 
0.7%
538.32 2
 
0.7%
659.88 2
 
0.7%
898.2 2
 
0.7%
396.0 2
 
0.7%
214.74 2
 
0.7%
496.8 2
 
0.7%
Other values (272) 272
92.5%
ValueCountFrequency (%)
112.61 1
0.3%
118.11 1
0.3%
120.0 1
0.3%
122.01 1
0.3%
127.11 1
0.3%
127.44 1
0.3%
128.74 1
0.3%
130.28 1
0.3%
132.8 1
0.3%
132.91 1
0.3%
ValueCountFrequency (%)
9943.06 1
0.3%
9654.6 1
0.3%
9224.45 1
0.3%
9112.51 1
0.3%
7735.59 1
0.3%
6789.46 1
0.3%
6341.73 1
0.3%
5957.11 1
0.3%
4455.06 1
0.3%
4278.6 1
0.3%

최대지상층수
Real number (ℝ)

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0442177
Minimum0
Maximum15
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T08:57:18.094965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3854746
Coefficient of variation (CV)0.67775296
Kurtosis30.644228
Mean2.0442177
Median Absolute Deviation (MAD)1
Skewness4.0447944
Sum601
Variance1.9195398
MonotonicityNot monotonic
2023-12-11T08:57:18.242032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 115
39.1%
2 105
35.7%
3 40
 
13.6%
4 25
 
8.5%
5 6
 
2.0%
0 1
 
0.3%
15 1
 
0.3%
11 1
 
0.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 115
39.1%
2 105
35.7%
3 40
 
13.6%
4 25
 
8.5%
5 6
 
2.0%
11 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
15 1
 
0.3%
11 1
 
0.3%
5 6
 
2.0%
4 25
 
8.5%
3 40
 
13.6%
2 105
35.7%
1 115
39.1%
0 1
 
0.3%

최대지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
1
 
16
2
 
2
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0102041
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 275
93.5%
1 16
 
5.4%
2 2
 
0.7%
<NA> 1
 
0.3%

Length

2023-12-11T08:57:18.397943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:18.511338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.5%
1 16
 
5.4%
2 2
 
0.7%
na 1
 
0.3%

주용도
Categorical

Distinct15
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
단독주택
81 
제2종근린생활시설
68 
제1종근린생활시설
39 
창고시설
32 
동물및식물관련시설
25 
Other values (10)
49 

Length

Max length9
Median length7
Mean length6.1326531
Min length2

Unique

Unique5 ?
Unique (%)1.7%

Sample

1st row단독주택
2nd row동물및식물관련시설
3rd row제2종근린생활시설
4th row제2종근린생활시설
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
단독주택 81
27.6%
제2종근린생활시설 68
23.1%
제1종근린생활시설 39
13.3%
창고시설 32
 
10.9%
동물및식물관련시설 25
 
8.5%
공장 21
 
7.1%
공동주택 11
 
3.7%
노유자시설 6
 
2.0%
숙박시설 4
 
1.4%
발전시설 2
 
0.7%
Other values (5) 5
 
1.7%

Length

2023-12-11T08:57:18.632483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 81
27.6%
제2종근린생활시설 68
23.1%
제1종근린생활시설 39
13.3%
창고시설 32
 
10.9%
동물및식물관련시설 25
 
8.5%
공장 21
 
7.1%
공동주택 11
 
3.7%
노유자시설 6
 
2.0%
숙박시설 4
 
1.4%
발전시설 2
 
0.7%
Other values (5) 5
 
1.7%

부속용도
Text

MISSING 

Distinct101
Distinct (%)55.5%
Missing112
Missing (%)38.1%
Memory size2.4 KiB
2023-12-11T08:57:18.931686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.2857143
Min length2

Characters and Unicode

Total characters1144
Distinct characters131
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)46.7%

Sample

1st row제2종근린생활시설
2nd row꿩사육장
3rd row다가구주택
4th row소매점
5th row한우사육시설
ValueCountFrequency (%)
다가구주택 27
 
11.9%
단독주택 27
 
11.9%
사무소 17
 
7.5%
일반음식점 14
 
6.2%
및 10
 
4.4%
소매점 9
 
4.0%
휴게음식점 6
 
2.6%
창고 5
 
2.2%
제2종근린생활시설 4
 
1.8%
제조업소 4
 
1.8%
Other values (79) 104
45.8%
2023-12-11T08:57:19.382944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 71
 
6.2%
택 70
 
6.1%
47
 
4.1%
점 41
 
3.6%
소 40
 
3.5%
다 37
 
3.2%
가 36
 
3.1%
사 36
 
3.1%
단 36
 
3.1%
독 33
 
2.9%
Other values (121) 697
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
88.3%
Space Separator 47
 
4.1%
Other Punctuation 27
 
2.4%
Close Punctuation 21
 
1.8%
Open Punctuation 19
 
1.7%
Decimal Number 17
 
1.5%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 71
 
7.0%
택 70
 
6.9%
점 41
 
4.1%
소 40
 
4.0%
다 37
 
3.7%
가 36
 
3.6%
사 36
 
3.6%
단 36
 
3.6%
독 33
 
3.3%
구 33
 
3.3%
Other values (112) 577
57.1%
Other Punctuation
ValueCountFrequency (%)
, 21
77.8%
/ 4
 
14.8%
. 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
2 13
76.5%
1 4
 
23.5%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
88.3%
Common 134
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 71
 
7.0%
택 70
 
6.9%
점 41
 
4.1%
소 40
 
4.0%
다 37
 
3.7%
가 36
 
3.6%
사 36
 
3.6%
단 36
 
3.6%
독 33
 
3.3%
구 33
 
3.3%
Other values (112) 577
57.1%
Common
ValueCountFrequency (%)
47
35.1%
, 21
15.7%
) 21
15.7%
( 19
14.2%
2 13
 
9.7%
/ 4
 
3.0%
1 4
 
3.0%
- 3
 
2.2%
. 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
88.3%
ASCII 134
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 71
 
7.0%
택 70
 
6.9%
점 41
 
4.1%
소 40
 
4.0%
다 37
 
3.7%
가 36
 
3.6%
사 36
 
3.6%
단 36
 
3.6%
독 33
 
3.3%
구 33
 
3.3%
Other values (112) 577
57.1%
ASCII
ValueCountFrequency (%)
47
35.1%
, 21
15.7%
) 21
15.7%
( 19
14.2%
2 13
 
9.7%
/ 4
 
3.0%
1 4
 
3.0%
- 3
 
2.2%
. 2
 
1.5%

데이터담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
경상남도 산청군청 민원과
294 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 산청군청 민원과
2nd row경상남도 산청군청 민원과
3rd row경상남도 산청군청 민원과
4th row경상남도 산청군청 민원과
5th row경상남도 산청군청 민원과

Common Values

ValueCountFrequency (%)
경상남도 산청군청 민원과 294
100.0%

Length

2023-12-11T08:57:19.526430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:19.617110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 294
33.3%
산청군청 294
33.3%
민원과 294
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-08-21
294 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 294
100.0%

Length

2023-12-11T08:57:19.715023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:19.806976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 294
100.0%

Interactions

2023-12-11T08:57:15.868733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.356377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.606260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.975560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.430377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.690335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:16.085932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.525706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:15.764646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:57:19.890841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적최대지상층수최대지하층수주용도
연번1.0000.1450.1220.0000.309
연면적0.1451.0000.7660.4960.697
최대지상층수0.1220.7661.0000.4750.706
최대지하층수0.0000.4960.4751.0000.394
주용도0.3090.6970.7060.3941.000
2023-12-11T08:57:19.989917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최대지하층수주용도
최대지하층수1.0000.192
주용도0.1921.000
2023-12-11T08:57:20.070642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적최대지상층수최대지하층수주용도
연번1.0000.142-0.0980.0000.118
연면적0.1421.0000.1310.2490.368
최대지상층수-0.0980.1311.0000.2180.415
최대지하층수0.0000.2490.2181.0000.192
주용도0.1180.3680.4150.1921.000

Missing values

2023-12-11T08:57:16.223201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:57:16.375680image/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

연번대지위치연면적최대지상층수최대지하층수주용도부속용도데이터담당부서데이터기준일자
01경상남도 산청군 시천면 사리 900-157479.730단독주택제2종근린생활시설경상남도 산청군청 민원과2023-08-21
12경상남도 산청군 신등면 평지리 159635.5210동물및식물관련시설꿩사육장경상남도 산청군청 민원과2023-08-21
23경상남도 산청군 단성면 방목리 685 외2필지282.7720제2종근린생활시설다가구주택경상남도 산청군청 민원과2023-08-21
34경상남도 산청군 금서면 특리 1300-1328.510제2종근린생활시설<NA>경상남도 산청군청 민원과2023-08-21
45경상남도 산청군 시천면 사리 726-1 외1필지1651.040제1종근린생활시설소매점경상남도 산청군청 민원과2023-08-21
56경상남도 산청군 금서면 특리 산 81-51452.0232제2종근린생활시설<NA>경상남도 산청군청 민원과2023-08-21
67경상남도 산청군 금서면 특리 73-8 외2필지556.3210동물및식물관련시설한우사육시설경상남도 산청군청 민원과2023-08-21
78경상남도 산청군 신안면 하정리 744-27344.9120제2종근린생활시설일반음식점 및 제조업소경상남도 산청군청 민원과2023-08-21
89경상남도 산청군 차황면 부리 276-10267.510창고시설<NA>경상남도 산청군청 민원과2023-08-21
910경상남도 산청군 생비량면 가계리 산 184-12262.4420제1종근린생활시설단독주택경상남도 산청군청 민원과2023-08-21
연번대지위치연면적최대지상층수최대지하층수주용도부속용도데이터담당부서데이터기준일자
284285경상남도 산청군 신안면 하정리 783-5448.3530제1종근린생활시설의원경상남도 산청군청 민원과2023-08-21
285286경상남도 산청군 단성면 남사리 산 30-311653.3120숙박시설(여관)경상남도 산청군청 민원과2023-08-21
286287경상남도 산청군 단성면 강누리 469-11156.050공동주택도시형생활주택(단지형다세대)경상남도 산청군청 민원과2023-08-21
287288경상남도 산청군 금서면 수철리 366-1 외1필지225.3520단독주택<NA>경상남도 산청군청 민원과2023-08-21
288289경상남도 산청군 신안면 하정리 630-21 외1필지422.4820제2종근린생활시설단독주택경상남도 산청군청 민원과2023-08-21
289290경상남도 산청군 시천면 중산리 544-12726.840숙박시설<NA>경상남도 산청군청 민원과2023-08-21
290291경상남도 산청군 신안면 하정리 480-1944.6320노유자시설노인복지시설(노인요양시설)경상남도 산청군청 민원과2023-08-21
291292경상남도 산청군 삼장면 대포리 26-4343.8910노유자시설공동생활시설,주간보호시설경상남도 산청군청 민원과2023-08-21
292293경상남도 산청군 신안면 하정리 470346.510노유자시설<NA>경상남도 산청군청 민원과2023-08-21
293294경상남도 산청군 신안면 하정리 630-25418.4220단독주택근린생활시설, 다가구 주택경상남도 산청군청 민원과2023-08-21