Overview

Dataset statistics

Number of variables18
Number of observations91
Missing cells108
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory150.5 B

Variable types

Categorical7
Text3
Numeric5
DateTime3

Dataset

Description경상남도 진주시 기계설비 성능점검 대상(주1개 동 연면적 10,000㎡ 이상 건축물 ) 건축물 현황 자료( 대지 위치, 연면적 m2, 허가일 등의 정보)를 제공하고 있습니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15118772

Alerts

대장종류코드명 has constant value ""Constant
구조코드명 is highly overall correlated with 기타구조정보 and 3 other fieldsHigh correlation
기타구조정보 is highly overall correlated with 구조코드명 and 1 other fieldsHigh correlation
건축면적 is highly overall correlated with 연면적 and 2 other fieldsHigh correlation
연면적 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
지상층수 is highly overall correlated with 건축면적High correlation
주용도코드명 is highly overall correlated with 구조코드명 and 1 other fieldsHigh correlation
기타용도내용 is highly overall correlated with 구조코드명 and 1 other fieldsHigh correlation
지붕코드명 is highly overall correlated with 기타구조정보 and 1 other fieldsHigh correlation
기타지붕명 is highly overall correlated with 건축면적 and 3 other fieldsHigh correlation
도로명주소 has 1 (1.1%) missing valuesMissing
동명 has 37 (40.7%) missing valuesMissing
지하층수 has 15 (16.5%) missing valuesMissing
허가일자 has 22 (24.2%) missing valuesMissing
착공일자 has 29 (31.9%) missing valuesMissing
사용승인일자 has 4 (4.4%) missing valuesMissing
건축면적 has unique valuesUnique
연면적 has unique valuesUnique
외필지수 has 67 (73.6%) zerosZeros
지하층수 has 7 (7.7%) zerosZeros

Reproduction

Analysis started2023-12-11 00:15:51.127451
Analysis finished2023-12-11 00:15:55.307060
Duration4.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대장종류코드명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
일반건축물
91 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반건축물 91
100.0%

Length

2023-12-11T09:15:55.373278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:55.459084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반건축물 91
100.0%

대지위치주소
Text

Distinct74
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T09:15:55.733478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length20.725275
Min length16

Characters and Unicode

Total characters1886
Distinct characters67
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

Unique67 ?
Unique (%)73.6%

Sample

1st row경상남도 진주시 충무공동 0227-0002
2nd row경상남도 진주시 충무공동 0035
3rd row경상남도 진주시 상평동 0281-0001
4th row경상남도 진주시 상대동 0284
5th row경상남도 진주시 상평동 0055-0032
ValueCountFrequency (%)
경상남도 91
23.6%
진주시 91
23.6%
충무공동 15
 
3.9%
가좌동 11
 
2.9%
예하리 10
 
2.6%
정촌면 10
 
2.6%
0900 10
 
2.6%
상평동 8
 
2.1%
평거동 7
 
1.8%
칠암동 7
 
1.8%
Other values (100) 125
32.5%
2023-12-11T09:15:56.238836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
15.6%
0 276
14.6%
상 106
 
5.6%
진 97
 
5.1%
경 92
 
4.9%
남 92
 
4.9%
도 91
 
4.8%
주 91
 
4.8%
시 91
 
4.8%
1 76
 
4.0%
Other values (57) 580
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 988
52.4%
Decimal Number 556
29.5%
Space Separator 294
 
15.6%
Dash Punctuation 48
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 106
10.7%
진 97
9.8%
경 92
9.3%
남 92
9.3%
도 91
9.2%
주 91
9.2%
시 91
9.2%
동 70
 
7.1%
리 21
 
2.1%
면 19
 
1.9%
Other values (45) 218
22.1%
Decimal Number
ValueCountFrequency (%)
0 276
49.6%
1 76
 
13.7%
2 41
 
7.4%
5 34
 
6.1%
4 26
 
4.7%
9 25
 
4.5%
8 22
 
4.0%
3 21
 
3.8%
7 20
 
3.6%
6 15
 
2.7%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 988
52.4%
Common 898
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 106
10.7%
진 97
9.8%
경 92
9.3%
남 92
9.3%
도 91
9.2%
주 91
9.2%
시 91
9.2%
동 70
 
7.1%
리 21
 
2.1%
면 19
 
1.9%
Other values (45) 218
22.1%
Common
ValueCountFrequency (%)
294
32.7%
0 276
30.7%
1 76
 
8.5%
- 48
 
5.3%
2 41
 
4.6%
5 34
 
3.8%
4 26
 
2.9%
9 25
 
2.8%
8 22
 
2.4%
3 21
 
2.3%
Other values (2) 35
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 988
52.4%
ASCII 898
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
32.7%
0 276
30.7%
1 76
 
8.5%
- 48
 
5.3%
2 41
 
4.6%
5 34
 
3.8%
4 26
 
2.9%
9 25
 
2.8%
8 22
 
2.4%
3 21
 
2.3%
Other values (2) 35
 
3.9%
Hangul
ValueCountFrequency (%)
상 106
10.7%
진 97
9.8%
경 92
9.3%
남 92
9.3%
도 91
9.2%
주 91
9.2%
시 91
9.2%
동 70
 
7.1%
리 21
 
2.1%
면 19
 
1.9%
Other values (45) 218
22.1%

도로명주소
Text

MISSING 

Distinct77
Distinct (%)85.6%
Missing1
Missing (%)1.1%
Memory size860.0 B
2023-12-11T09:15:56.595202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length17.955556
Min length15

Characters and Unicode

Total characters1616
Distinct characters86
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

Unique70 ?
Unique (%)77.8%

Sample

1st row경상남도 진주시 충의로 19
2nd row경상남도 진주시 동진로 440
3rd row경상남도 진주시 남강로 1003
4th row경상남도 진주시 동진로 155
5th row경상남도 진주시 도동로 57
ValueCountFrequency (%)
경상남도 90
23.6%
진주시 90
23.6%
진주대로 10
 
2.6%
정촌면 10
 
2.6%
501 8
 
2.1%
동진로 7
 
1.8%
남강로 5
 
1.3%
대신로 5
 
1.3%
도동로 4
 
1.0%
진양호로 4
 
1.0%
Other values (120) 148
38.8%
2023-12-11T09:15:57.108721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
18.0%
진 123
 
7.6%
주 104
 
6.4%
남 99
 
6.1%
도 94
 
5.8%
경 91
 
5.6%
시 90
 
5.6%
상 90
 
5.6%
로 84
 
5.2%
1 64
 
4.0%
Other values (76) 486
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1037
64.2%
Space Separator 291
 
18.0%
Decimal Number 284
 
17.6%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 123
11.9%
주 104
10.0%
남 99
9.5%
도 94
9.1%
경 91
8.8%
시 90
8.7%
상 90
8.7%
로 84
 
8.1%
길 28
 
2.7%
번 21
 
2.0%
Other values (64) 213
20.5%
Decimal Number
ValueCountFrequency (%)
1 64
22.5%
0 39
13.7%
5 36
12.7%
3 30
10.6%
7 23
 
8.1%
4 22
 
7.7%
2 20
 
7.0%
9 18
 
6.3%
6 17
 
6.0%
8 15
 
5.3%
Space Separator
ValueCountFrequency (%)
291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1037
64.2%
Common 579
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 123
11.9%
주 104
10.0%
남 99
9.5%
도 94
9.1%
경 91
8.8%
시 90
8.7%
상 90
8.7%
로 84
 
8.1%
길 28
 
2.7%
번 21
 
2.0%
Other values (64) 213
20.5%
Common
ValueCountFrequency (%)
291
50.3%
1 64
 
11.1%
0 39
 
6.7%
5 36
 
6.2%
3 30
 
5.2%
7 23
 
4.0%
4 22
 
3.8%
2 20
 
3.5%
9 18
 
3.1%
6 17
 
2.9%
Other values (2) 19
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1037
64.2%
ASCII 579
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
50.3%
1 64
 
11.1%
0 39
 
6.7%
5 36
 
6.2%
3 30
 
5.2%
7 23
 
4.0%
4 22
 
3.8%
2 20
 
3.5%
9 18
 
3.1%
6 17
 
2.9%
Other values (2) 19
 
3.3%
Hangul
ValueCountFrequency (%)
진 123
11.9%
주 104
10.0%
남 99
9.5%
도 94
9.1%
경 91
8.8%
시 90
8.7%
상 90
8.7%
로 84
 
8.1%
길 28
 
2.7%
번 21
 
2.0%
Other values (64) 213
20.5%

외필지수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6263736
Minimum0
Maximum24
Zeros67
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T09:15:57.231656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9.5
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.4288156
Coefficient of variation (CV)2.7231231
Kurtosis14.785032
Mean1.6263736
Median Absolute Deviation (MAD)0
Skewness3.7287656
Sum148
Variance19.614408
MonotonicityNot monotonic
2023-12-11T09:15:57.351752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 67
73.6%
1 7
 
7.7%
6 3
 
3.3%
2 3
 
3.3%
24 2
 
2.2%
3 2
 
2.2%
15 2
 
2.2%
5 2
 
2.2%
4 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
0 67
73.6%
1 7
 
7.7%
2 3
 
3.3%
3 2
 
2.2%
4 1
 
1.1%
5 2
 
2.2%
6 3
 
3.3%
7 1
 
1.1%
12 1
 
1.1%
15 2
 
2.2%
ValueCountFrequency (%)
24 2
 
2.2%
15 2
 
2.2%
12 1
 
1.1%
7 1
 
1.1%
6 3
3.3%
5 2
 
2.2%
4 1
 
1.1%
3 2
 
2.2%
2 3
3.3%
1 7
7.7%

동명
Text

MISSING 

Distinct45
Distinct (%)83.3%
Missing37
Missing (%)40.7%
Memory size860.0 B
2023-12-11T09:15:57.587456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length5.8518519
Min length2

Characters and Unicode

Total characters316
Distinct characters120
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

Unique40 ?
Unique (%)74.1%

Sample

1st row본관동
2nd row1동
3rd row1동
4th row이마트 진주점
5th row주건축물제1동
ValueCountFrequency (%)
주1동 6
 
9.8%
가동 3
 
4.9%
1동 2
 
3.3%
주건축물제1동 2
 
3.3%
본관동 2
 
3.3%
a동 1
 
1.6%
교양학관 1
 
1.6%
한국기술시험원 1
 
1.6%
교사및강당동 1
 
1.6%
gnu컨벤션센터 1
 
1.6%
Other values (41) 41
67.2%
2023-12-11T09:15:57.994986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 33
 
10.4%
1 20
 
6.3%
주 13
 
4.1%
관 13
 
4.1%
학 12
 
3.8%
교 10
 
3.2%
7
 
2.2%
) 6
 
1.9%
( 6
 
1.9%
, 5
 
1.6%
Other values (110) 191
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
76.3%
Decimal Number 35
 
11.1%
Uppercase Letter 12
 
3.8%
Space Separator 7
 
2.2%
Other Punctuation 7
 
2.2%
Close Punctuation 6
 
1.9%
Open Punctuation 6
 
1.9%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
 
13.7%
주 13
 
5.4%
관 13
 
5.4%
학 12
 
5.0%
교 10
 
4.1%
본 5
 
2.1%
등 5
 
2.1%
센 5
 
2.1%
터 4
 
1.7%
호 4
 
1.7%
Other values (87) 137
56.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
N 2
16.7%
G 1
 
8.3%
U 1
 
8.3%
D 1
 
8.3%
B 1
 
8.3%
I 1
 
8.3%
T 1
 
8.3%
R 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 20
57.1%
9 4
 
11.4%
2 4
 
11.4%
3 2
 
5.7%
4 2
 
5.7%
8 2
 
5.7%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 1
 
14.3%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
76.3%
Common 63
 
19.9%
Latin 12
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
 
13.7%
주 13
 
5.4%
관 13
 
5.4%
학 12
 
5.0%
교 10
 
4.1%
본 5
 
2.1%
등 5
 
2.1%
센 5
 
2.1%
터 4
 
1.7%
호 4
 
1.7%
Other values (87) 137
56.8%
Common
ValueCountFrequency (%)
1 20
31.7%
7
 
11.1%
) 6
 
9.5%
( 6
 
9.5%
, 5
 
7.9%
9 4
 
6.3%
2 4
 
6.3%
3 2
 
3.2%
4 2
 
3.2%
- 2
 
3.2%
Other values (4) 5
 
7.9%
Latin
ValueCountFrequency (%)
A 3
25.0%
N 2
16.7%
G 1
 
8.3%
U 1
 
8.3%
D 1
 
8.3%
B 1
 
8.3%
I 1
 
8.3%
T 1
 
8.3%
R 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
76.3%
ASCII 75
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 33
 
13.7%
주 13
 
5.4%
관 13
 
5.4%
학 12
 
5.0%
교 10
 
4.1%
본 5
 
2.1%
등 5
 
2.1%
센 5
 
2.1%
터 4
 
1.7%
호 4
 
1.7%
Other values (87) 137
56.8%
ASCII
ValueCountFrequency (%)
1 20
26.7%
7
 
9.3%
) 6
 
8.0%
( 6
 
8.0%
, 5
 
6.7%
9 4
 
5.3%
2 4
 
5.3%
A 3
 
4.0%
3 2
 
2.7%
4 2
 
2.7%
Other values (13) 16
21.3%

건축면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8246.6006
Minimum1341.85
Maximum71552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T09:15:58.164005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1341.85
5-th percentile1534.055
Q13033.795
median4653.18
Q39303.98
95-th percentile23235.235
Maximum71552
Range70210.15
Interquartile range (IQR)6270.185

Descriptive statistics

Standard deviation11068.536
Coefficient of variation (CV)1.3421938
Kurtosis16.083142
Mean8246.6006
Median Absolute Deviation (MAD)1977.84
Skewness3.7314106
Sum750440.66
Variance1.225125 × 108
MonotonicityNot monotonic
2023-12-11T09:15:58.346616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18237.18 1
 
1.1%
2882.87 1
 
1.1%
4009.43 1
 
1.1%
9194.95 1
 
1.1%
2148.62 1
 
1.1%
5474.39 1
 
1.1%
3523.8 1
 
1.1%
11350.51 1
 
1.1%
2112.53 1
 
1.1%
1445.98 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1341.85 1
1.1%
1424.68 1
1.1%
1445.98 1
1.1%
1463.98 1
1.1%
1472.6 1
1.1%
1595.51 1
1.1%
2088.37 1
1.1%
2112.53 1
1.1%
2137.3 1
1.1%
2148.62 1
1.1%
ValueCountFrequency (%)
71552.0 1
1.1%
53199.27 1
1.1%
51514.01 1
1.1%
33496.31 1
1.1%
23317.33 1
1.1%
23153.14 1
1.1%
19678.81 1
1.1%
18422.07 1
1.1%
18237.18 1
1.1%
15053.02 1
1.1%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21600.211
Minimum10028.62
Maximum135685.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T09:15:58.546841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10028.62
5-th percentile10463.89
Q111506.3
median14478.75
Q322366.12
95-th percentile53819.365
Maximum135685.69
Range125657.07
Interquartile range (IQR)10859.82

Descriptive statistics

Standard deviation19817.278
Coefficient of variation (CV)0.9174576
Kurtosis15.283602
Mean21600.211
Median Absolute Deviation (MAD)3456.62
Skewness3.5844811
Sum1965619.2
Variance3.927245 × 108
MonotonicityStrictly decreasing
2023-12-11T09:15:58.733093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135685.69 1
 
1.1%
12308.27 1
 
1.1%
11547.21 1
 
1.1%
11570.89 1
 
1.1%
11665.11 1
 
1.1%
11746.56 1
 
1.1%
11945.35 1
 
1.1%
12114.45 1
 
1.1%
12124.95 1
 
1.1%
12184.89 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
10028.62 1
1.1%
10196.065 1
1.1%
10218.2 1
1.1%
10279.71 1
1.1%
10341.44 1
1.1%
10586.34 1
1.1%
10611.53 1
1.1%
10661.95 1
1.1%
10699.27 1
1.1%
10817.43 1
1.1%
ValueCountFrequency (%)
135685.69 1
1.1%
99623.22 1
1.1%
93473.6 1
1.1%
56421.44 1
1.1%
53862.79 1
1.1%
53775.94 1
1.1%
52054.74 1
1.1%
43587.93 1
1.1%
41351.54 1
1.1%
41160.75 1
1.1%

구조코드명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
철근콘크리트구조
61 
일반철골구조
21 
철골철근콘크리트구조
9 

Length

Max length10
Median length8
Mean length7.7362637
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row철골철근콘크리트구조
2nd row철골철근콘크리트구조
3rd row일반철골구조
4th row철근콘크리트구조
5th row일반철골구조

Common Values

ValueCountFrequency (%)
철근콘크리트구조 61
67.0%
일반철골구조 21
 
23.1%
철골철근콘크리트구조 9
 
9.9%

Length

2023-12-11T09:15:58.885596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:59.011777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 61
67.0%
일반철골구조 21
 
23.1%
철골철근콘크리트구조 9
 
9.9%

기타구조정보
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
철근콘크리트구조
45 
일반철골구조
18 
철골철근콘크리트구조
8 
철근콘크리트조
8 
철근콘크리트
5 
Other values (6)
7 

Length

Max length19
Median length10
Mean length7.6263736
Min length3

Unique

Unique5 ?
Unique (%)5.5%

Sample

1st row철골철근콘크리트구조
2nd row철골철근콘크리트구조
3rd row일반철골구조
4th row철골조
5th row일반철골구조

Common Values

ValueCountFrequency (%)
철근콘크리트구조 45
49.5%
일반철골구조 18
 
19.8%
철골철근콘크리트구조 8
 
8.8%
철근콘크리트조 8
 
8.8%
철근콘크리트 5
 
5.5%
철골조 2
 
2.2%
철근콘크리트조, 조적조, 경량철골조 1
 
1.1%
경량철골구조 1
 
1.1%
철골조,철근콘크리트 1
 
1.1%
철골철근콘크리트조 1
 
1.1%

Length

2023-12-11T09:15:59.122483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 45
48.4%
일반철골구조 18
 
19.4%
철근콘크리트조 9
 
9.7%
철골철근콘크리트구조 8
 
8.6%
철근콘크리트 5
 
5.4%
철골조 2
 
2.2%
조적조 1
 
1.1%
경량철골조 1
 
1.1%
경량철골구조 1
 
1.1%
철골조,철근콘크리트 1
 
1.1%
Other values (2) 2
 
2.2%

주용도코드명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size860.0 B
교육연구시설
36 
공장
18 
의료시설
9 
업무시설
7 
판매시설
6 
Other values (10)
15 

Length

Max length9
Median length8
Mean length4.7912088
Min length2

Unique

Unique6 ?
Unique (%)6.6%

Sample

1st row업무시설
2nd row판매시설
3rd row공장
4th row업무시설
5th row공장

Common Values

ValueCountFrequency (%)
교육연구시설 36
39.6%
공장 18
19.8%
의료시설 9
 
9.9%
업무시설 7
 
7.7%
판매시설 6
 
6.6%
문화및집회시설 3
 
3.3%
교정및군사시설 2
 
2.2%
방송통신시설 2
 
2.2%
숙박시설 2
 
2.2%
판매및영업시설 1
 
1.1%
Other values (5) 5
 
5.5%

Length

2023-12-11T09:15:59.274363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육연구시설 36
39.6%
공장 18
19.8%
의료시설 9
 
9.9%
업무시설 7
 
7.7%
판매시설 6
 
6.6%
문화및집회시설 3
 
3.3%
교정및군사시설 2
 
2.2%
방송통신시설 2
 
2.2%
숙박시설 2
 
2.2%
판매및영업시설 1
 
1.1%
Other values (5) 5
 
5.5%

기타용도내용
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
교육연구시설
21 
공장
16 
의료시설
8 
교육연구및복지시설
8 
업무시설
4 
Other values (23)
34 

Length

Max length27
Median length19
Mean length6.2747253
Min length2

Unique

Unique16 ?
Unique (%)17.6%

Sample

1st row업무시설,제1종근린생활시설,운동시설
2nd row판매시설
3rd row공장
4th row업무시설
5th row내외장타일공장

Common Values

ValueCountFrequency (%)
교육연구시설 21
23.1%
공장 16
17.6%
의료시설 8
 
8.8%
교육연구및복지시설 8
 
8.8%
업무시설 4
 
4.4%
판매시설 4
 
4.4%
문화및집회시설 3
 
3.3%
교육연구시설(초등학교) 3
 
3.3%
교정및군사시설 2
 
2.2%
초등학교 2
 
2.2%
Other values (18) 20
22.0%

Length

2023-12-11T09:15:59.425790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육연구시설 21
22.3%
공장 16
17.0%
의료시설 8
 
8.5%
교육연구및복지시설 8
 
8.5%
업무시설 4
 
4.3%
판매시설 4
 
4.3%
문화및집회시설 4
 
4.3%
교육연구시설(초등학교 3
 
3.2%
내외장타일공장 2
 
2.1%
근린생활시설 2
 
2.1%
Other values (19) 22
23.4%

지붕코드명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
(철근)콘크리트
65 
기타지붕
24 
슬레이트
 
2

Length

Max length8
Median length8
Mean length6.8571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타지붕
2nd row(철근)콘크리트
3rd row기타지붕
4th row(철근)콘크리트
5th row기타지붕

Common Values

ValueCountFrequency (%)
(철근)콘크리트 65
71.4%
기타지붕 24
 
26.4%
슬레이트 2
 
2.2%

Length

2023-12-11T09:15:59.574915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:59.699158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근)콘크리트 65
71.4%
기타지붕 24
 
26.4%
슬레이트 2
 
2.2%

기타지붕명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size860.0 B
슬라브
29 
스라브
14 
평슬라브
13 
판넬
9 
(철근)콘크리트
3 
Other values (20)
23 

Length

Max length32
Median length3
Mean length4.4505495
Min length2

Unique

Unique18 ?
Unique (%)19.8%

Sample

1st row철골조/스라브
2nd row(철근)콘크리트
3rd row패널(반트러스,경사지붕)
4th row평슬라브
5th row경사판넬

Common Values

ValueCountFrequency (%)
슬라브 29
31.9%
스라브 14
15.4%
평슬라브 13
14.3%
판넬 9
 
9.9%
(철근)콘크리트 3
 
3.3%
평스라브 3
 
3.3%
슬래브 2
 
2.2%
경사판넬 및 슬라브 1
 
1.1%
패널(반트러스,경사지붕) 1
 
1.1%
경사판넬 1
 
1.1%
Other values (15) 15
16.5%

Length

2023-12-11T09:15:59.810215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
슬라브 30
29.7%
스라브 14
13.9%
평슬라브 13
12.9%
판넬 9
 
8.9%
철근)콘크리트 3
 
3.0%
평스라브 3
 
3.0%
슬래브 2
 
2.0%
경사판넬 2
 
2.0%
및 2
 
2.0%
철골지붕 2
 
2.0%
Other values (19) 21
20.8%

지상층수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5274725
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T09:15:59.956130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median5
Q37
95-th percentile10
Maximum20
Range19
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.4555612
Coefficient of variation (CV)0.62516118
Kurtosis4.270629
Mean5.5274725
Median Absolute Deviation (MAD)2
Skewness1.6508909
Sum503
Variance11.940904
MonotonicityNot monotonic
2023-12-11T09:16:00.104225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 17
18.7%
4 16
17.6%
7 11
12.1%
3 9
9.9%
1 8
8.8%
8 7
7.7%
2 6
 
6.6%
6 5
 
5.5%
10 4
 
4.4%
9 4
 
4.4%
Other values (4) 4
 
4.4%
ValueCountFrequency (%)
1 8
8.8%
2 6
 
6.6%
3 9
9.9%
4 16
17.6%
5 17
18.7%
6 5
 
5.5%
7 11
12.1%
8 7
7.7%
9 4
 
4.4%
10 4
 
4.4%
ValueCountFrequency (%)
20 1
 
1.1%
17 1
 
1.1%
16 1
 
1.1%
15 1
 
1.1%
10 4
 
4.4%
9 4
 
4.4%
8 7
7.7%
7 11
12.1%
6 5
 
5.5%
5 17
18.7%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)7.9%
Missing15
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean1.2631579
Minimum0
Maximum5
Zeros7
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T09:16:00.226666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89990253
Coefficient of variation (CV)0.71242284
Kurtosis4.9003609
Mean1.2631579
Median Absolute Deviation (MAD)0
Skewness1.9291049
Sum96
Variance0.80982456
MonotonicityNot monotonic
2023-12-11T09:16:00.324293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 53
58.2%
2 9
 
9.9%
0 7
 
7.7%
3 4
 
4.4%
4 2
 
2.2%
5 1
 
1.1%
(Missing) 15
 
16.5%
ValueCountFrequency (%)
0 7
 
7.7%
1 53
58.2%
2 9
 
9.9%
3 4
 
4.4%
4 2
 
2.2%
5 1
 
1.1%
ValueCountFrequency (%)
5 1
 
1.1%
4 2
 
2.2%
3 4
 
4.4%
2 9
 
9.9%
1 53
58.2%
0 7
 
7.7%

허가일자
Date

MISSING 

Distinct69
Distinct (%)100.0%
Missing22
Missing (%)24.2%
Memory size860.0 B
Minimum1980-09-29 00:00:00
Maximum2020-12-14 00:00:00
2023-12-11T09:16:00.444232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:16:00.575156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공일자
Date

MISSING 

Distinct61
Distinct (%)98.4%
Missing29
Missing (%)31.9%
Memory size860.0 B
Minimum1980-10-04 00:00:00
Maximum2021-05-03 00:00:00
2023-12-11T09:16:00.715348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:16:00.870808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일자
Date

MISSING 

Distinct86
Distinct (%)98.9%
Missing4
Missing (%)4.4%
Memory size860.0 B
Minimum1974-07-30 00:00:00
Maximum2023-02-03 00:00:00
2023-12-11T09:16:01.032295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:16:01.166646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T09:15:54.015150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.327040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.737432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.158212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.525493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:54.083013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.409296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.820027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.228957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.644725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:54.164118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.495294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.907646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.307895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.761849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:54.511566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.575551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.998374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.380325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.851544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:54.620044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:52.655450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.080320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.458178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:53.936907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:16:01.322510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지위치주소도로명주소외필지수동명건축면적연면적구조코드명기타구조정보주용도코드명기타용도내용지붕코드명기타지붕명지상층수지하층수허가일자착공일자사용승인일자
대지위치주소1.0001.0000.0000.0000.9710.9560.9480.9670.9940.9990.5020.9880.6380.9821.0000.9890.992
도로명주소1.0001.0000.6580.0000.9700.9630.9790.9680.9911.0000.3720.9880.5360.9811.0000.9900.994
외필지수0.0000.6581.0001.0000.0000.0000.0000.0000.3050.0000.0000.0000.0000.0001.0001.0001.000
동명0.0000.0001.0001.0000.0000.0000.3720.8040.9350.8520.7760.0000.0000.6871.0001.0001.000
건축면적0.9710.9700.0000.0001.0000.8770.5020.4990.5700.6560.5350.9130.5020.4081.0000.9711.000
연면적0.9560.9630.0000.0000.8771.0000.4850.4490.1420.7110.1420.8800.6160.6581.0001.0001.000
구조코드명0.9480.9790.0000.3720.5020.4851.0000.9710.8680.8710.8120.8290.5040.7091.0000.0001.000
기타구조정보0.9670.9680.0000.8040.4990.4490.9711.0000.7530.8200.8440.8060.2960.3521.0000.9721.000
주용도코드명0.9940.9910.3050.9350.5700.1420.8680.7531.0000.9920.6440.2630.6080.6401.0000.9781.000
기타용도내용0.9991.0000.0000.8520.6560.7110.8710.8200.9921.0000.5890.8480.8070.8191.0000.9781.000
지붕코드명0.5020.3720.0000.7760.5350.1420.8120.8440.6440.5891.0000.9750.4400.2991.0001.0001.000
기타지붕명0.9880.9880.0000.0000.9130.8800.8290.8060.2630.8480.9751.0000.5530.7601.0000.9901.000
지상층수0.6380.5360.0000.0000.5020.6160.5040.2960.6080.8070.4400.5531.0000.3581.0000.9721.000
지하층수0.9820.9810.0000.6870.4080.6580.7090.3520.6400.8190.2990.7600.3581.0001.0000.0001.000
허가일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
착공일자0.9890.9901.0001.0000.9711.0000.0000.9720.9780.9781.0000.9900.9720.0001.0001.0000.999
사용승인일자0.9920.9941.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9991.000
2023-12-11T09:16:01.901082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도코드명구조코드명기타구조정보지붕코드명기타용도내용기타지붕명
주용도코드명1.0000.5730.3980.3480.8390.049
구조코드명0.5731.0000.9280.4800.5920.556
기타구조정보0.3980.9281.0000.7080.3970.396
지붕코드명0.3480.4800.7081.0000.3080.803
기타용도내용0.8390.5920.3970.3081.0000.360
기타지붕명0.0490.5560.3960.8030.3601.000
2023-12-11T09:16:02.007892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
외필지수건축면적연면적지상층수지하층수구조코드명기타구조정보주용도코드명기타용도내용지붕코드명기타지붕명
외필지수1.000-0.099-0.0460.062-0.0040.0000.0000.1330.0000.0000.000
건축면적-0.0991.0000.508-0.537-0.2230.3820.2610.2860.2680.4140.618
연면적-0.0460.5081.0000.2100.2560.3650.2350.0640.3070.0970.556
지상층수0.062-0.5370.2101.0000.3710.3590.1370.2970.4080.3020.222
지하층수-0.004-0.2230.2560.3711.0000.3810.1770.3610.4560.1240.428
구조코드명0.0000.3820.3650.3590.3811.0000.9280.5730.5920.4800.556
기타구조정보0.0000.2610.2350.1370.1770.9281.0000.3980.3970.7080.396
주용도코드명0.1330.2860.0640.2970.3610.5730.3981.0000.8390.3480.049
기타용도내용0.0000.2680.3070.4080.4560.5920.3970.8391.0000.3080.360
지붕코드명0.0000.4140.0970.3020.1240.4800.7080.3480.3081.0000.803
기타지붕명0.0000.6180.5560.2220.4280.5560.3960.0490.3600.8031.000

Missing values

2023-12-11T09:15:54.775414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:15:55.058624image/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.
2023-12-11T09:15:55.220782image/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

대장종류코드명대지위치주소도로명주소외필지수동명건축면적연면적구조코드명기타구조정보주용도코드명기타용도내용지붕코드명기타지붕명지상층수지하층수허가일자착공일자사용승인일자
0일반건축물경상남도 진주시 충무공동 0227-0002경상남도 진주시 충의로 190본관동18237.18135685.69철골철근콘크리트구조철골철근콘크리트구조업무시설업무시설,제1종근린생활시설,운동시설기타지붕철골조/스라브2022012-05-212012-11-132015-03-25
1일반건축물경상남도 진주시 충무공동 0035경상남도 진주시 동진로 4400<NA>9517.4999623.22철골철근콘크리트구조철골철근콘크리트구조판매시설판매시설(철근)콘크리트(철근)콘크리트742015-01-052015-02-232016-08-19
2일반건축물경상남도 진주시 상평동 0281-0001경상남도 진주시 남강로 100301동53199.2793473.6일반철골구조일반철골구조공장공장기타지붕패널(반트러스,경사지붕)711997-02-171997-06-301999-05-25
3일반건축물경상남도 진주시 상대동 0284경상남도 진주시 동진로 1550<NA>7413.4156421.44철근콘크리트구조철골조업무시설업무시설(철근)콘크리트평슬라브1031997-12-261997-12-262001-04-06
4일반건축물경상남도 진주시 상평동 0055-0032경상남도 진주시 도동로 5701동51514.0153862.79일반철골구조일반철골구조공장내외장타일공장기타지붕경사판넬1<NA><NA><NA>1993-12-20
5일반건축물경상남도 진주시 평안동 0195경상남도 진주시 진주대로 10950<NA>3876.2553775.94철골철근콘크리트구조철골철근콘크리트구조판매시설판매시설(백화점)기타지붕ACE DECK PLATE, TRUSS DECK PLATE851996-09-232002-01-102006-09-29
6일반건축물경상남도 진주시 상대동 0181-0001경상남도 진주시 대신로 3040<NA>4860.3952054.74철골철근콘크리트구조철골철근콘크리트구조판매시설판매시설(철근)콘크리트스라브832005-10-122005-11-012007-03-26
7일반건축물경상남도 진주시 인사동 0003경상남도 진주시 진양호로 4770이마트 진주점71552.043587.93철근콘크리트구조철근콘크리트조판매시설판매및영업시설(철근)콘크리트평슬라브241995-02-251996-05-202000-08-25
8일반건축물경상남도 진주시 대곡면 광석리 0700경상남도 진주시 대곡면 월암로23번길 390<NA>19678.8141351.54철근콘크리트구조철근콘크리트조, 조적조, 경량철골조교정및군사시설교정및군사시설(철근)콘크리트슬라브51<NA><NA>1989-10-30
9일반건축물경상남도 진주시 충무공동 0008경상남도 진주시 동진로 4150주건축물제1동33496.3141160.75철근콘크리트구조철근콘크리트구조문화및집회시설문화및집회시설기타지붕막구조312008-04-112008-04-112010-07-23
대장종류코드명대지위치주소도로명주소외필지수동명건축면적연면적구조코드명기타구조정보주용도코드명기타용도내용지붕코드명기타지붕명지상층수지하층수허가일자착공일자사용승인일자
81일반건축물경상남도 진주시 계동 0038경상남도 진주시 진주대로 11100<NA>2137.310817.43철근콘크리트구조철근콘크리트구조제1종근린생활시설의원(철근)콘크리트평슬라브511997-01-311997-02-281997-07-25
82일반건축물경상남도 진주시 정촌면 예하리 1243-0002경상남도 진주시 정촌면 산업로79번길 50<NA>9413.0110699.27일반철골구조일반철골구조공장공장기타지붕판넬202012-02-102012-03-192012-10-05
83일반건축물경상남도 진주시 초전동 1691경상남도 진주시 초북로 660주1동3202.8710661.95철근콘크리트구조철근콘크리트/철골조교육연구시설교육연구시설(초등학교)(철근)콘크리트철근콘크리트/철골조412014-03-032014-03-042015-03-31
84일반건축물경상남도 진주시 문산읍 상문리 0048경상남도 진주시 문산읍 동부로 965618동(강의동)1472.610611.53일반철골구조철골조교육연구시설교육연구및복지시설(철근)콘크리트평슬라브802001-10-272001-11-212002-05-21
85일반건축물경상남도 진주시 칠암동 0150-0001경상남도 진주시 동진로 3361동(대학본부)3058.2110586.34철골철근콘크리트구조철골철근콘크리트구조교육연구시설교육연구시설(철근)콘크리트슬라브91<NA><NA>1982-08-16
86일반건축물경상남도 진주시 가좌동 0900경상남도 진주시 진주대로 5010과학2호관2506.8210341.44철근콘크리트구조철근콘크리트교육연구시설교육연구시설(철근)콘크리트스라브501982-12-131981-10-171986-06-10
87일반건축물경상남도 진주시 평거동 0748-0002경상남도 진주시 평거로 600주1동2910.8210279.71철근콘크리트구조철근콘크리트구조교육연구시설교육연구및복지시설(철근)콘크리트스라브51<NA>2003-10-062005-03-02
88일반건축물경상남도 진주시 가좌동 0900경상남도 진주시 진주대로 5010교양학관5457.810218.2철근콘크리트구조철근콘크리트교육연구시설교육연구시설(철근)콘크리트스라브311982-12-11<NA>1982-11-30
89일반건축물경상남도 진주시 초전동 1085-0001경상남도 진주시 대신로 570139동10196.06510196.065일반철골구조일반철골구조동.식물관련시설동.식물관련시설기타지붕유리1<NA>2008-01-02<NA>2009-04-13
90일반건축물경상남도 진주시 평거동 1125경상남도 진주시 진양호로84번길 200<NA>3411.3810028.62철근콘크리트구조철근콘크리트구조교육연구시설교육연구시설(초등학교)(철근)콘크리트슬라브412014-11-272015-02-232016-02-17