Overview

Dataset statistics

Number of variables6
Number of observations85
Missing cells5
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory49.6 B

Variable types

Text5
DateTime1

Dataset

Description경상남도 남해군의 전문건설업등록현황에 관한 데이터로, 업체명, 대표자, 업종, 도로명주소, 전화번호 등 자료를 제공합니다.
URLhttps://www.data.go.kr/data/15101041/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 5 (5.9%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:36:06.071495
Analysis finished2023-12-12 14:36:06.933814
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T23:36:07.101022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.0823529
Min length5

Characters and Unicode

Total characters602
Distinct characters101
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row(유)대봉건설
2nd row(유)한흥
3rd row(주)가온아이엔씨
4th row(주)금당산업
5th row(주)금산
ValueCountFrequency (%)
유)대봉건설 1
 
1.2%
동강포장건설주식회사 1
 
1.2%
오성건설주식회사(주 1
 
1.2%
영창건설(주 1
 
1.2%
영진산업개발(주 1
 
1.2%
엠지건설(주 1
 
1.2%
아남건설(주 1
 
1.2%
씨티건설(주 1
 
1.2%
신아개발(주 1
 
1.2%
신승개발(주 1
 
1.2%
Other values (75) 75
88.2%
2023-12-12T23:36:07.465162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 81
 
13.5%
( 67
 
11.1%
) 67
 
11.1%
건 43
 
7.1%
설 42
 
7.0%
사 17
 
2.8%
회 16
 
2.7%
식 16
 
2.7%
개 13
 
2.2%
발 13
 
2.2%
Other values (91) 227
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
77.4%
Open Punctuation 67
 
11.1%
Close Punctuation 67
 
11.1%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 81
 
17.4%
건 43
 
9.2%
설 42
 
9.0%
사 17
 
3.6%
회 16
 
3.4%
식 16
 
3.4%
개 13
 
2.8%
발 13
 
2.8%
경 9
 
1.9%
산 9
 
1.9%
Other values (88) 207
44.4%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
77.7%
Common 134
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 81
 
17.3%
건 43
 
9.2%
설 42
 
9.0%
사 17
 
3.6%
회 16
 
3.4%
식 16
 
3.4%
개 13
 
2.8%
발 13
 
2.8%
경 9
 
1.9%
산 9
 
1.9%
Other values (89) 209
44.7%
Common
ValueCountFrequency (%)
( 67
50.0%
) 67
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
77.4%
ASCII 134
 
22.3%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 81
 
17.4%
건 43
 
9.2%
설 42
 
9.0%
사 17
 
3.6%
회 16
 
3.4%
식 16
 
3.4%
개 13
 
2.8%
발 13
 
2.8%
경 9
 
1.9%
산 9
 
1.9%
Other values (88) 207
44.4%
ASCII
ValueCountFrequency (%)
( 67
50.0%
) 67
50.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자
Text

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T23:36:07.775570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters255
Distinct characters95
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)95.3%

Sample

1st row하봉현
2nd row김한흥
3rd row김남주
4th row조일성
5th row유성숙
ValueCountFrequency (%)
심진욱 2
 
2.4%
강진해 2
 
2.4%
장미정 1
 
1.2%
서태열 1
 
1.2%
최철근 1
 
1.2%
김기향 1
 
1.2%
윤대림 1
 
1.2%
강동호 1
 
1.2%
신종화 1
 
1.2%
이진삼 1
 
1.2%
Other values (73) 73
85.9%
2023-12-12T23:36:08.195536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 17
 
6.7%
이 15
 
5.9%
정 12
 
4.7%
박 9
 
3.5%
진 8
 
3.1%
영 8
 
3.1%
미 6
 
2.4%
자 5
 
2.0%
선 5
 
2.0%
옥 5
 
2.0%
Other values (85) 165
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 17
 
6.7%
이 15
 
5.9%
정 12
 
4.7%
박 9
 
3.5%
진 8
 
3.1%
영 8
 
3.1%
미 6
 
2.4%
자 5
 
2.0%
선 5
 
2.0%
옥 5
 
2.0%
Other values (85) 165
64.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 17
 
6.7%
이 15
 
5.9%
정 12
 
4.7%
박 9
 
3.5%
진 8
 
3.1%
영 8
 
3.1%
미 6
 
2.4%
자 5
 
2.0%
선 5
 
2.0%
옥 5
 
2.0%
Other values (85) 165
64.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 17
 
6.7%
이 15
 
5.9%
정 12
 
4.7%
박 9
 
3.5%
진 8
 
3.1%
영 8
 
3.1%
미 6
 
2.4%
자 5
 
2.0%
선 5
 
2.0%
옥 5
 
2.0%
Other values (85) 165
64.7%

업종
Text

Distinct61
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T23:36:08.422174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length82
Mean length41.4
Min length7

Characters and Unicode

Total characters3519
Distinct characters76
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)56.5%

Sample

1st row상ㆍ하수도설비공사업 철근ㆍ콘크리트공사업(대업종전환) 상ㆍ하수도설비공사업(대업종전환) 철근ㆍ콘크리트공사업
2nd row실내건축공사업
3rd row비계ㆍ구조물해체공사업(대업종전환) 구조물해체ㆍ비계공사업
4th row수중공사업(대업종전환) 비계ㆍ구조물해체공사업(대업종전환) 수중ㆍ준설공사업 구조물해체ㆍ비계공사업
5th row금속구조물ㆍ창호ㆍ온실공사업(대업종전환) 조경식재ㆍ시설물공사업 금속창호ㆍ지붕건축물조립공사업 조경시설물설치공사업(대업종전환)
ValueCountFrequency (%)
철근ㆍ콘크리트공사업(대업종전환 33
 
12.5%
철근ㆍ콘크리트공사업 33
 
12.5%
도장ㆍ습식방수ㆍ석공사업 24
 
9.1%
석공사업(대업종전환 21
 
8.0%
조경식재ㆍ시설물공사업 13
 
4.9%
상ㆍ하수도설비공사업 13
 
4.9%
상ㆍ하수도설비공사업(대업종전환 12
 
4.5%
시설물유지관리업 10
 
3.8%
수중공사업(대업종전환 10
 
3.8%
조경식재공사업(대업종전환 10
 
3.8%
Other values (28) 85
32.2%
2023-12-12T23:36:08.899768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 391
 
11.1%
사 254
 
7.2%
공 254
 
7.2%
ㆍ 229
 
6.5%
180
 
5.1%
) 130
 
3.7%
( 130
 
3.7%
환 119
 
3.4%
전 119
 
3.4%
종 119
 
3.4%
Other values (66) 1594
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
87.5%
Space Separator 180
 
5.1%
Close Punctuation 130
 
3.7%
Open Punctuation 130
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 391
 
12.7%
사 254
 
8.2%
공 254
 
8.2%
ㆍ 229
 
7.4%
환 119
 
3.9%
전 119
 
3.9%
종 119
 
3.9%
대 119
 
3.9%
리 81
 
2.6%
수 75
 
2.4%
Other values (63) 1319
42.8%
Space Separator
ValueCountFrequency (%)
180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3079
87.5%
Common 440
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 391
 
12.7%
사 254
 
8.2%
공 254
 
8.2%
ㆍ 229
 
7.4%
환 119
 
3.9%
전 119
 
3.9%
종 119
 
3.9%
대 119
 
3.9%
리 81
 
2.6%
수 75
 
2.4%
Other values (63) 1319
42.8%
Common
ValueCountFrequency (%)
180
40.9%
) 130
29.5%
( 130
29.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2850
81.0%
ASCII 440
 
12.5%
Compat Jamo 229
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 391
 
13.7%
사 254
 
8.9%
공 254
 
8.9%
환 119
 
4.2%
전 119
 
4.2%
종 119
 
4.2%
대 119
 
4.2%
리 81
 
2.8%
수 75
 
2.6%
철 72
 
2.5%
Other values (62) 1247
43.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 229
100.0%
ASCII
ValueCountFrequency (%)
180
40.9%
) 130
29.5%
( 130
29.5%

도로명주소
Text

Distinct77
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T23:36:09.193236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length24.329412
Min length19

Characters and Unicode

Total characters2068
Distinct characters72
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

Unique69 ?
Unique (%)81.2%

Sample

1st row경상남도 남해군 이동면 남서대로 264
2nd row경상남도 남해군 남해읍 화전로 122번길 37-2 1층
3rd row경상남도 남해군 창선면 흥선로 34-1
4th row경상남도 남해군 남해읍 화전로78번길 17-30 2층
5th row경상남도 남해군 남해읍 화전로59번길 5 2층
ValueCountFrequency (%)
남해군 85
18.2%
경상남도 82
17.6%
남해읍 59
 
12.6%
화전로 17
 
3.6%
2층 12
 
2.6%
1층 9
 
1.9%
남해대로 9
 
1.9%
창선면 8
 
1.7%
고현면 6
 
1.3%
154 5
 
1.1%
Other values (116) 175
37.5%
2023-12-12T23:36:09.688076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
18.5%
남 241
 
11.7%
해 155
 
7.5%
1 94
 
4.5%
상 89
 
4.3%
군 85
 
4.1%
경 85
 
4.1%
도 82
 
4.0%
로 81
 
3.9%
2 65
 
3.1%
Other values (62) 708
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1271
61.5%
Space Separator 383
 
18.5%
Decimal Number 374
 
18.1%
Dash Punctuation 26
 
1.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 241
19.0%
해 155
12.2%
상 89
 
7.0%
군 85
 
6.7%
경 85
 
6.7%
도 82
 
6.5%
로 81
 
6.4%
읍 59
 
4.6%
길 35
 
2.8%
번 31
 
2.4%
Other values (47) 328
25.8%
Decimal Number
ValueCountFrequency (%)
1 94
25.1%
2 65
17.4%
4 40
10.7%
3 39
10.4%
0 27
 
7.2%
5 27
 
7.2%
7 23
 
6.1%
6 23
 
6.1%
9 20
 
5.3%
8 16
 
4.3%
Space Separator
ValueCountFrequency (%)
383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1271
61.5%
Common 797
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 241
19.0%
해 155
12.2%
상 89
 
7.0%
군 85
 
6.7%
경 85
 
6.7%
도 82
 
6.5%
로 81
 
6.4%
읍 59
 
4.6%
길 35
 
2.8%
번 31
 
2.4%
Other values (47) 328
25.8%
Common
ValueCountFrequency (%)
383
48.1%
1 94
 
11.8%
2 65
 
8.2%
4 40
 
5.0%
3 39
 
4.9%
0 27
 
3.4%
5 27
 
3.4%
- 26
 
3.3%
7 23
 
2.9%
6 23
 
2.9%
Other values (5) 50
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1271
61.5%
ASCII 797
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
48.1%
1 94
 
11.8%
2 65
 
8.2%
4 40
 
5.0%
3 39
 
4.9%
0 27
 
3.4%
5 27
 
3.4%
- 26
 
3.3%
7 23
 
2.9%
6 23
 
2.9%
Other values (5) 50
 
6.3%
Hangul
ValueCountFrequency (%)
남 241
19.0%
해 155
12.2%
상 89
 
7.0%
군 85
 
6.7%
경 85
 
6.7%
도 82
 
6.5%
로 81
 
6.4%
읍 59
 
4.6%
길 35
 
2.8%
번 31
 
2.4%
Other values (47) 328
25.8%

전화번호
Text

MISSING 

Distinct78
Distinct (%)97.5%
Missing5
Missing (%)5.9%
Memory size812.0 B
2023-12-12T23:36:09.962146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters960
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)95.0%

Sample

1st row055-864-0644
2nd row055-867-8666
3rd row055-864-2559
4th row055-863-3389
5th row055-863-8243
ValueCountFrequency (%)
055-862-6900 2
 
2.5%
055-864-2486 2
 
2.5%
055-864-5005 1
 
1.2%
055-864-7477 1
 
1.2%
055-862-9798 1
 
1.2%
055-863-1782 1
 
1.2%
055-867-5748 1
 
1.2%
055-867-3995 1
 
1.2%
055-863-2295 1
 
1.2%
055-864-1009 1
 
1.2%
Other values (68) 68
85.0%
2023-12-12T23:36:10.335874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 195
20.3%
- 160
16.7%
0 129
13.4%
8 110
11.5%
6 107
11.1%
4 73
 
7.6%
7 59
 
6.1%
3 48
 
5.0%
2 31
 
3.2%
9 26
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
83.3%
Dash Punctuation 160
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 195
24.4%
0 129
16.1%
8 110
13.8%
6 107
13.4%
4 73
 
9.1%
7 59
 
7.4%
3 48
 
6.0%
2 31
 
3.9%
9 26
 
3.2%
1 22
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 195
20.3%
- 160
16.7%
0 129
13.4%
8 110
11.5%
6 107
11.1%
4 73
 
7.6%
7 59
 
6.1%
3 48
 
5.0%
2 31
 
3.2%
9 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 195
20.3%
- 160
16.7%
0 129
13.4%
8 110
11.5%
6 107
11.1%
4 73
 
7.6%
7 59
 
6.1%
3 48
 
5.0%
2 31
 
3.2%
9 26
 
2.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2022-06-13 00:00:00
Maximum2022-06-13 00:00:00
2023-12-12T23:36:10.452760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:36:10.551629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T23:36:10.629694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명대표자업종도로명주소전화번호
업체명1.0001.0001.0001.0001.000
대표자1.0001.0000.9621.0000.999
업종1.0000.9621.0000.0000.990
도로명주소1.0001.0000.0001.0000.998
전화번호1.0000.9990.9900.9981.000

Missing values

2023-12-12T23:36:06.773810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:36:06.894189image/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

업체명대표자업종도로명주소전화번호데이터기준일
0(유)대봉건설하봉현상ㆍ하수도설비공사업 철근ㆍ콘크리트공사업(대업종전환) 상ㆍ하수도설비공사업(대업종전환) 철근ㆍ콘크리트공사업경상남도 남해군 이동면 남서대로 264055-864-06442022-06-13
1(유)한흥김한흥실내건축공사업경상남도 남해군 남해읍 화전로 122번길 37-2 1층<NA>2022-06-13
2(주)가온아이엔씨김남주비계ㆍ구조물해체공사업(대업종전환) 구조물해체ㆍ비계공사업경상남도 남해군 창선면 흥선로 34-1055-867-86662022-06-13
3(주)금당산업조일성수중공사업(대업종전환) 비계ㆍ구조물해체공사업(대업종전환) 수중ㆍ준설공사업 구조물해체ㆍ비계공사업경상남도 남해군 남해읍 화전로78번길 17-30 2층055-864-25592022-06-13
4(주)금산유성숙금속구조물ㆍ창호ㆍ온실공사업(대업종전환) 조경식재ㆍ시설물공사업 금속창호ㆍ지붕건축물조립공사업 조경시설물설치공사업(대업종전환)경상남도 남해군 남해읍 화전로59번길 5 2층055-863-33892022-06-13
5(주)남동정기표비계ㆍ구조물해체공사업(대업종전환) 구조물해체ㆍ비계공사업경상남도 남해군 남해읍 망운로9번길 9055-863-82432022-06-13
6(주)남해그린텍임채우조경식재ㆍ시설물공사업 조경식재공사업(대업종전환)경상남도 남해군 남해읍 화전로 36055-863-55112022-06-13
7(주)남해조경김상명조경시설물설치공사업(대업종전환) 조경식재공사업(대업종전환) 조경식재ㆍ시설물공사업경상남도 남해군 남해읍 평현로 177-4055-863-07062022-06-13
8(주)다초조경정봉환조경식재ㆍ시설물공사업경상남도 남해군 남해읍 남해대로 2978055-864-76662022-06-13
9(주)단디지붕공사김명희지붕판금ㆍ건축물조립공사업(대업종전환) 금속창호ㆍ지붕건축물조립공사업경상남도 남해군 삼동면 동부대로1876번다길 7-2055-867-44482022-06-13
업체명대표자업종도로명주소전화번호데이터기준일
75주식회사이수이선옥실내건축공사업경상남도 남해군 남해읍 망운로10번길 28 207055-863-22992022-06-13
76주식회사태양이영아도장ㆍ습식방수ㆍ석공사업 석공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업경상남도 남해군 남해읍 화전로 149 2층<NA>2022-06-13
77주식회사현대이소은시설물유지관리업경상남도 남해군 남해읍 화전로 17-1 2층055-864-70902022-06-13
78주은건설(주)김정주시설물유지관리업 철근ㆍ콘크리트공사업(폐업)경상남도 남해군 남해읍 망운로9번길 42055-864-75802022-06-13
79청은건설(주)이영란철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환) 석공사업(대업종전환) 도장ㆍ습식방수ㆍ석공사업경상남도 남해군 남해읍 화전로38번가길 1 2층055-863-26152022-06-13
80한길건설주식회사박인수철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업경상남도 남해군 미조면 미송로486번길 35055-867-04272022-06-13
81한창건설(주)장철오석공사업(대업종전환) 도장ㆍ습식방수ㆍ석공사업 철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업경상남도 남해군 창선면 창선로 21055-867-78042022-06-13
82해광토건(주)서태열철근ㆍ콘크리트공사업(대업종전환) 석공사업(대업종전환) 철근ㆍ콘크리트공사업 수중공사업(대업종전환) 상ㆍ하수도설비공사업(폐업) 수중ㆍ준설공사업 도장ㆍ습식방수ㆍ석공사업경남 남해군 남해읍 망운로 46 1층055-863-23792022-06-13
83홍덕건설(주)장미정포장공사업(대업종전환) 상ㆍ하수도설비공사업(대업종전환) 상ㆍ하수도설비공사업 철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환) 지반조성ㆍ포장공사업경상남도 남해군 남해읍 화전로 10055-864-10072022-06-13
84화신건설(주)김양자석공사업(대업종전환) 토공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업 도장ㆍ습식방수ㆍ석공사업 지반조성ㆍ포장공사업경상남도 남해군 남해읍 남해대로 2951-48055-864-48912022-06-13