Overview

Dataset statistics

Number of variables8
Number of observations537
Missing cells514
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.3 KiB
Average record size in memory67.2 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description본 데이터는 합천군 관내 신축 건축물에 대한 인허가 현황(건축구분, 대지위치, 연면적, 최대지상층수, 최대지하층수, 주용도, 부속용도, 시공자사무소명)에 대한 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15118229/fileData.do

Alerts

건축구분 has constant value ""Constant
최대지하층수 is highly imbalanced (77.2%)Imbalance
부속용도 has 176 (32.8%) missing valuesMissing
시공자사무소명 has 338 (62.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:06:28.848095
Analysis finished2023-12-12 17:06:29.904737
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
신축
537 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 537
100.0%

Length

2023-12-13T02:06:29.970960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:06:30.052208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 537
100.0%
Distinct531
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T02:06:30.243781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.543762
Min length18

Characters and Unicode

Total characters12643
Distinct characters134
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

Unique525 ?
Unique (%)97.8%

Sample

1st row경상남도 합천군 묘산면 산제리 산 7 외1필지
2nd row경상남도 합천군 묘산면 산제리 산 7 외1필지
3rd row경상남도 합천군 합천읍 합천리 457-5 외2필지
4th row경상남도 합천군 삼가면 하판리 682
5th row경상남도 합천군 야로면 묵촌리 58 외1필지
ValueCountFrequency (%)
경상남도 537
18.3%
합천군 537
18.3%
합천읍 123
 
4.2%
외1필지 120
 
4.1%
합천리 92
 
3.1%
외2필지 57
 
1.9%
삼가면 46
 
1.6%
용주면 42
 
1.4%
가야면 42
 
1.4%
대양면 33
 
1.1%
Other values (673) 1312
44.6%
2023-12-13T02:06:30.612648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2404
19.0%
765
 
6.1%
752
 
5.9%
548
 
4.3%
546
 
4.3%
537
 
4.2%
537
 
4.2%
537
 
4.2%
537
 
4.2%
1 526
 
4.2%
Other values (124) 4954
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7662
60.6%
Space Separator 2404
 
19.0%
Decimal Number 2236
 
17.7%
Dash Punctuation 341
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
765
 
10.0%
752
 
9.8%
548
 
7.2%
546
 
7.1%
537
 
7.0%
537
 
7.0%
537
 
7.0%
537
 
7.0%
414
 
5.4%
242
 
3.2%
Other values (112) 2247
29.3%
Decimal Number
ValueCountFrequency (%)
1 526
23.5%
2 287
12.8%
3 239
10.7%
4 208
 
9.3%
5 191
 
8.5%
7 182
 
8.1%
8 170
 
7.6%
6 161
 
7.2%
9 146
 
6.5%
0 126
 
5.6%
Space Separator
ValueCountFrequency (%)
2404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7662
60.6%
Common 4981
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
765
 
10.0%
752
 
9.8%
548
 
7.2%
546
 
7.1%
537
 
7.0%
537
 
7.0%
537
 
7.0%
537
 
7.0%
414
 
5.4%
242
 
3.2%
Other values (112) 2247
29.3%
Common
ValueCountFrequency (%)
2404
48.3%
1 526
 
10.6%
- 341
 
6.8%
2 287
 
5.8%
3 239
 
4.8%
4 208
 
4.2%
5 191
 
3.8%
7 182
 
3.7%
8 170
 
3.4%
6 161
 
3.2%
Other values (2) 272
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7662
60.6%
ASCII 4981
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2404
48.3%
1 526
 
10.6%
- 341
 
6.8%
2 287
 
5.8%
3 239
 
4.8%
4 208
 
4.2%
5 191
 
3.8%
7 182
 
3.7%
8 170
 
3.4%
6 161
 
3.2%
Other values (2) 272
 
5.5%
Hangul
ValueCountFrequency (%)
765
 
10.0%
752
 
9.8%
548
 
7.2%
546
 
7.1%
537
 
7.0%
537
 
7.0%
537
 
7.0%
537
 
7.0%
414
 
5.4%
242
 
3.2%
Other values (112) 2247
29.3%

연면적(제곱미터)
Real number (ℝ)

Distinct512
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean944.60947
Minimum99.36
Maximum11844.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-13T02:06:30.771945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.36
5-th percentile143.054
Q1284.82
median587.43
Q31123.7
95-th percentile2895
Maximum11844.82
Range11745.46
Interquartile range (IQR)838.88

Descriptive statistics

Standard deviation1174.9502
Coefficient of variation (CV)1.2438476
Kurtosis28.117766
Mean944.60947
Median Absolute Deviation (MAD)346.95
Skewness4.2997204
Sum507255.28
Variance1380507.9
MonotonicityNot monotonic
2023-12-13T02:06:30.899340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1658.72 4
 
0.7%
330.0 4
 
0.7%
658.535 3
 
0.6%
800.0 3
 
0.6%
1625.0 2
 
0.4%
398.4 2
 
0.4%
198.0 2
 
0.4%
1488.0 2
 
0.4%
835.504 2
 
0.4%
561.82 2
 
0.4%
Other values (502) 511
95.2%
ValueCountFrequency (%)
99.36 1
0.2%
109.23 1
0.2%
110.0 1
0.2%
111.44 1
0.2%
111.85 1
0.2%
117.87 1
0.2%
119.79 1
0.2%
121.37 1
0.2%
124.24 1
0.2%
124.94 1
0.2%
ValueCountFrequency (%)
11844.82 1
0.2%
10689.09 1
0.2%
8273.35 1
0.2%
8066.64 1
0.2%
6101.34 1
0.2%
5589.035 1
0.2%
4807.47 1
0.2%
4779.1607 1
0.2%
4733.23 1
0.2%
4445.48 1
0.2%

최대지상층수
Real number (ℝ)

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8249534
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-13T02:06:31.003664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2692882
Coefficient of variation (CV)0.69551814
Kurtosis10.945048
Mean1.8249534
Median Absolute Deviation (MAD)0
Skewness2.5680832
Sum980
Variance1.6110926
MonotonicityNot monotonic
2023-12-13T02:06:31.402354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 297
55.3%
2 138
25.7%
4 47
 
8.8%
3 37
 
6.9%
5 13
 
2.4%
6 2
 
0.4%
10 2
 
0.4%
11 1
 
0.2%
ValueCountFrequency (%)
1 297
55.3%
2 138
25.7%
3 37
 
6.9%
4 47
 
8.8%
5 13
 
2.4%
6 2
 
0.4%
10 2
 
0.4%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
10 2
 
0.4%
6 2
 
0.4%
5 13
 
2.4%
4 47
 
8.8%
3 37
 
6.9%
2 138
25.7%
1 297
55.3%

최대지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
503 
1
 
32
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 503
93.7%
1 32
 
6.0%
2 2
 
0.4%

Length

2023-12-13T02:06:31.549858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:06:31.644709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
93.7%
1 32
 
6.0%
2 2
 
0.4%

주용도
Categorical

Distinct18
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
동물및식물관련시설
159 
단독주택
98 
제2종근린생활시설
79 
창고시설
59 
제1종근린생활시설
56 
Other values (13)
86 

Length

Max length9
Median length9
Mean length6.8007449
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
동물및식물관련시설 159
29.6%
단독주택 98
18.2%
제2종근린생활시설 79
14.7%
창고시설 59
 
11.0%
제1종근린생활시설 56
 
10.4%
공동주택 34
 
6.3%
숙박시설 12
 
2.2%
공장 7
 
1.3%
노유자시설 7
 
1.3%
문화및집회시설 5
 
0.9%
Other values (8) 21
 
3.9%

Length

2023-12-13T02:06:31.738159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동물및식물관련시설 159
29.6%
단독주택 98
18.2%
제2종근린생활시설 79
14.7%
창고시설 59
 
11.0%
제1종근린생활시설 56
 
10.4%
공동주택 34
 
6.3%
숙박시설 12
 
2.2%
공장 7
 
1.3%
노유자시설 7
 
1.3%
운동시설 5
 
0.9%
Other values (8) 21
 
3.9%

부속용도
Text

MISSING 

Distinct195
Distinct (%)54.0%
Missing176
Missing (%)32.8%
Memory size4.3 KiB
2023-12-13T02:06:31.951056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length7.5512465
Min length2

Characters and Unicode

Total characters2726
Distinct characters182
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

Unique158 ?
Unique (%)43.8%

Sample

1st row사무소 및 다가구주택
2nd row우사
3rd row우사
4th row산지유통시설-저온창고, 선별장
5th row산지유통시설-저온창고, 선별장
ValueCountFrequency (%)
축사 27
 
6.1%
단독주택 25
 
5.6%
다가구주택 24
 
5.4%
우사 18
 
4.0%
사무소 14
 
3.1%
연립주택 13
 
2.9%
퇴비사 13
 
2.9%
창고 12
 
2.7%
소매점 10
 
2.2%
일반음식점 9
 
2.0%
Other values (180) 281
63.0%
2023-12-13T02:06:32.362813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
6.7%
, 172
 
6.3%
100
 
3.7%
94
 
3.4%
85
 
3.1%
79
 
2.9%
78
 
2.9%
70
 
2.6%
57
 
2.1%
57
 
2.1%
Other values (172) 1751
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2312
84.8%
Other Punctuation 182
 
6.7%
Space Separator 85
 
3.1%
Open Punctuation 50
 
1.8%
Close Punctuation 50
 
1.8%
Decimal Number 32
 
1.2%
Dash Punctuation 13
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
183
 
7.9%
100
 
4.3%
94
 
4.1%
79
 
3.4%
78
 
3.4%
70
 
3.0%
57
 
2.5%
57
 
2.5%
55
 
2.4%
51
 
2.2%
Other values (158) 1488
64.4%
Other Punctuation
ValueCountFrequency (%)
, 172
94.5%
. 5
 
2.7%
/ 4
 
2.2%
: 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 19
59.4%
1 11
34.4%
8 1
 
3.1%
0 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2312
84.8%
Common 412
 
15.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
183
 
7.9%
100
 
4.3%
94
 
4.1%
79
 
3.4%
78
 
3.4%
70
 
3.0%
57
 
2.5%
57
 
2.5%
55
 
2.4%
51
 
2.2%
Other values (158) 1488
64.4%
Common
ValueCountFrequency (%)
, 172
41.7%
85
20.6%
( 50
 
12.1%
) 50
 
12.1%
2 19
 
4.6%
- 13
 
3.2%
1 11
 
2.7%
. 5
 
1.2%
/ 4
 
1.0%
8 1
 
0.2%
Other values (2) 2
 
0.5%
Latin
ValueCountFrequency (%)
E 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2312
84.8%
ASCII 414
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
183
 
7.9%
100
 
4.3%
94
 
4.1%
79
 
3.4%
78
 
3.4%
70
 
3.0%
57
 
2.5%
57
 
2.5%
55
 
2.4%
51
 
2.2%
Other values (158) 1488
64.4%
ASCII
ValueCountFrequency (%)
, 172
41.5%
85
20.5%
( 50
 
12.1%
) 50
 
12.1%
2 19
 
4.6%
- 13
 
3.1%
1 11
 
2.7%
. 5
 
1.2%
/ 4
 
1.0%
E 1
 
0.2%
Other values (4) 4
 
1.0%

시공자사무소명
Text

MISSING 

Distinct143
Distinct (%)71.9%
Missing338
Missing (%)62.9%
Memory size4.3 KiB
2023-12-13T02:06:32.635023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.3467337
Min length2

Characters and Unicode

Total characters1661
Distinct characters131
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

Unique119 ?
Unique (%)59.8%

Sample

1st row(주)보림종합건설
2nd row성도종합건설주식회사
3rd row금천종합건설주식회사
4th row(주)삼우건설
5th row(주)삼우건설
ValueCountFrequency (%)
주식회사 16
 
7.4%
영우종합건설(주 15
 
7.0%
주)세보종합건설 7
 
3.3%
주)삼우건설 5
 
2.3%
두경건설(주 4
 
1.9%
서창토건(주 4
 
1.9%
주)범한종합건설 4
 
1.9%
효림토건(주 4
 
1.9%
서창토건주식회사 4
 
1.9%
한성 3
 
1.4%
Other values (132) 149
69.3%
2023-12-13T02:06:33.067494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
11.7%
173
 
10.4%
155
 
9.3%
) 144
 
8.7%
( 143
 
8.6%
106
 
6.4%
106
 
6.4%
50
 
3.0%
50
 
3.0%
48
 
2.9%
Other values (121) 491
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1357
81.7%
Close Punctuation 144
 
8.7%
Open Punctuation 143
 
8.6%
Space Separator 17
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
195
14.4%
173
12.7%
155
 
11.4%
106
 
7.8%
106
 
7.8%
50
 
3.7%
50
 
3.7%
48
 
3.5%
30
 
2.2%
26
 
1.9%
Other values (118) 418
30.8%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1357
81.7%
Common 304
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
195
14.4%
173
12.7%
155
 
11.4%
106
 
7.8%
106
 
7.8%
50
 
3.7%
50
 
3.7%
48
 
3.5%
30
 
2.2%
26
 
1.9%
Other values (118) 418
30.8%
Common
ValueCountFrequency (%)
) 144
47.4%
( 143
47.0%
17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1357
81.7%
ASCII 304
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
195
14.4%
173
12.7%
155
 
11.4%
106
 
7.8%
106
 
7.8%
50
 
3.7%
50
 
3.7%
48
 
3.5%
30
 
2.2%
26
 
1.9%
Other values (118) 418
30.8%
ASCII
ValueCountFrequency (%)
) 144
47.4%
( 143
47.0%
17
 
5.6%

Interactions

2023-12-13T02:06:29.426554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:29.234329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:29.523490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:29.322524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:06:33.173547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)최대지상층수최대지하층수주용도
연면적(제곱미터)1.0000.4520.5060.478
최대지상층수0.4521.0000.2550.726
최대지하층수0.5060.2551.0000.438
주용도0.4780.7260.4381.000
2023-12-13T02:06:33.284142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도최대지하층수
주용도1.0000.221
최대지하층수0.2211.000
2023-12-13T02:06:33.397133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)최대지상층수최대지하층수주용도
연면적(제곱미터)1.000-0.0210.3710.221
최대지상층수-0.0211.0000.1400.384
최대지하층수0.3710.1401.0000.221
주용도0.2210.3840.2211.000

Missing values

2023-12-13T02:06:29.641495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:06:29.765361image/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.
2023-12-13T02:06:29.857168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

건축구분대지위치연면적(제곱미터)최대지상층수최대지하층수주용도부속용도시공자사무소명
0신축경상남도 합천군 묘산면 산제리 산 7 외1필지445.1320관광휴게시설<NA><NA>
1신축경상남도 합천군 묘산면 산제리 산 7 외1필지800.2621관광휴게시설<NA><NA>
2신축경상남도 합천군 합천읍 합천리 457-5 외2필지545.1240단독주택사무소 및 다가구주택<NA>
3신축경상남도 합천군 삼가면 하판리 682950.010동물및식물관련시설우사<NA>
4신축경상남도 합천군 야로면 묵촌리 58 외1필지1825.010동물및식물관련시설<NA><NA>
5신축경상남도 합천군 대양면 무곡리 581-4700.010동물및식물관련시설우사<NA>
6신축경상남도 합천군 청덕면 초곡리 334 외1필지658.110창고시설산지유통시설-저온창고, 선별장<NA>
7신축경상남도 합천군 청덕면 초곡리 337-1592.3510창고시설산지유통시설-저온창고, 선별장<NA>
8신축경상남도 합천군 대병면 회양리 422293.8220단독주택<NA><NA>
9신축경상남도 합천군 적중면 정토리 322-121389.010동물및식물관련시설<NA><NA>
건축구분대지위치연면적(제곱미터)최대지상층수최대지하층수주용도부속용도시공자사무소명
527신축경상남도 합천군 합천읍 합천리 891-19 외11필지153.920관광휴게시설관망탑두강건설(주)
528신축경상남도 합천군 쌍백면 평구리 523-3 외2필지976.1221제1종근린생활시설노유자시설(경로당)명진종합건설(주)
529신축경상남도 합천군 초계면 초계리 18-5739.310제2종근린생활시설<NA><NA>
530신축경상남도 합천군 합천읍 합천리 245-2 외56필지251.1910제2종근린생활시설종교집회장(위패실)(주)해동건설
531신축경상남도 합천군 합천읍 합천리 384-6 외1필지870.5640단독주택다가구주택, 사무소혁승종합건설(주)
532신축경상남도 합천군 가야면 매화리 7071241.510동물및식물관련시설우사,통로,퇴비사,저장조,보관창고<NA>
533신축경상남도 합천군 합천읍 합천리 708-5219.83520제1종근린생활시설(소매점),단독주택<NA>
534신축경상남도 합천군 야로면 나대리 5912630.9410동물및식물관련시설동식물관련시설(돈사)<NA>
535신축경상남도 합천군 덕곡면 포두리 775 외1필지673.3520창고시설창고<NA>
536신축경상남도 합천군 대병면 유전리 961-3 외1필지900.0110공장도자기제조공장서창토건주식회사