Overview

Dataset statistics

Number of variables7
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory59.8 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description전북특별자치도 군산시 건설 철거업체 현황을 업체명, 업종, 도로명주소, 전화번호, 데이터 기준일 등의 항목으로 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15099447/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:04:44.463897
Analysis finished2024-03-14 23:04:45.550601
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 B
2024-03-15T08:04:45.683755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2024-03-15T08:04:46.073694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

업체명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-03-15T08:04:47.009540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.173913
Min length3

Characters and Unicode

Total characters330
Distinct characters91
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

Unique46 ?
Unique (%)100.0%

Sample

1st row(유)군산폐기물
2nd row(유)금산기초건설
3rd row(유)다모아건설
4th row(유)대광건설산업
5th row(유)대원안전비계
ValueCountFrequency (%)
유)군산폐기물 1
 
2.2%
㈜우주환경 1
 
2.2%
주식회사청우 1
 
2.2%
㈜거명건설 1
 
2.2%
㈜고려환경개발 1
 
2.2%
㈜부성기공 1
 
2.2%
㈜서원건설산업 1
 
2.2%
㈜성덕이엔지 1
 
2.2%
㈜승주건설 1
 
2.2%
㈜신의주건설 1
 
2.2%
Other values (36) 36
78.3%
2024-03-15T08:04:48.366110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 26
 
7.9%
) 26
 
7.9%
유 25
 
7.6%
설 17
 
5.2%
건 17
 
5.2%
산 14
 
4.2%
㈜ 14
 
4.2%
업 11
 
3.3%
이 11
 
3.3%
주 9
 
2.7%
Other values (81) 160
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
80.0%
Open Punctuation 26
 
7.9%
Close Punctuation 26
 
7.9%
Other Symbol 14
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 25
 
9.5%
설 17
 
6.4%
건 17
 
6.4%
산 14
 
5.3%
업 11
 
4.2%
이 11
 
4.2%
주 9
 
3.4%
스 7
 
2.7%
에 6
 
2.3%
경 6
 
2.3%
Other values (78) 141
53.4%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
84.2%
Common 52
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 25
 
9.0%
설 17
 
6.1%
건 17
 
6.1%
산 14
 
5.0%
㈜ 14
 
5.0%
업 11
 
4.0%
이 11
 
4.0%
주 9
 
3.2%
스 7
 
2.5%
에 6
 
2.2%
Other values (79) 147
52.9%
Common
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
80.0%
ASCII 52
 
15.8%
None 14
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%
Hangul
ValueCountFrequency (%)
유 25
 
9.5%
설 17
 
6.4%
건 17
 
6.4%
산 14
 
5.3%
업 11
 
4.2%
이 11
 
4.2%
주 9
 
3.4%
스 7
 
2.7%
에 6
 
2.3%
경 6
 
2.3%
Other values (78) 141
53.4%
None
ValueCountFrequency (%)
㈜ 14
100.0%

도로명주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-03-15T08:04:49.507769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length24.717391
Min length22

Characters and Unicode

Total characters1137
Distinct characters109
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

Unique44 ?
Unique (%)95.7%

Sample

1st row전북특별자치도 군산시 동팔마길 5-1(동흥남동)
2nd row전북특별자치도 군산시 번영로 455(개정동)
3rd row전북특별자치도 군산시 동팔마길 11(동흥남동)
4th row전북특별자치도 군산시 공항로 158-3(산북동)
5th row전북특별자치도 군산시 외항로 58(산북동)
ValueCountFrequency (%)
전북특별자치도 46
23.1%
군산시 46
23.1%
공항로 6
 
3.0%
옥구읍 3
 
1.5%
옥정길 2
 
1.0%
59 2
 
1.0%
번영로 2
 
1.0%
동팔마길 2
 
1.0%
옥서북길 2
 
1.0%
현충로 1
 
0.5%
Other values (87) 87
43.7%
2024-03-15T08:04:51.003508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
13.5%
산 59
 
5.2%
북 58
 
5.1%
자 48
 
4.2%
도 47
 
4.1%
시 47
 
4.1%
전 46
 
4.0%
특 46
 
4.0%
별 46
 
4.0%
치 46
 
4.0%
Other values (99) 540
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
67.4%
Space Separator 154
 
13.5%
Decimal Number 130
 
11.4%
Close Punctuation 38
 
3.3%
Open Punctuation 38
 
3.3%
Dash Punctuation 9
 
0.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 59
 
7.7%
북 58
 
7.6%
자 48
 
6.3%
도 47
 
6.1%
시 47
 
6.1%
전 46
 
6.0%
특 46
 
6.0%
별 46
 
6.0%
치 46
 
6.0%
군 46
 
6.0%
Other values (84) 277
36.2%
Decimal Number
ValueCountFrequency (%)
1 26
20.0%
5 20
15.4%
4 14
10.8%
2 13
10.0%
3 13
10.0%
7 12
9.2%
6 9
 
6.9%
9 9
 
6.9%
0 8
 
6.2%
8 6
 
4.6%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
67.4%
Common 371
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 59
 
7.7%
북 58
 
7.6%
자 48
 
6.3%
도 47
 
6.1%
시 47
 
6.1%
전 46
 
6.0%
특 46
 
6.0%
별 46
 
6.0%
치 46
 
6.0%
군 46
 
6.0%
Other values (84) 277
36.2%
Common
ValueCountFrequency (%)
154
41.5%
) 38
 
10.2%
( 38
 
10.2%
1 26
 
7.0%
5 20
 
5.4%
4 14
 
3.8%
2 13
 
3.5%
3 13
 
3.5%
7 12
 
3.2%
- 9
 
2.4%
Other values (5) 34
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
67.4%
ASCII 371
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
41.5%
) 38
 
10.2%
( 38
 
10.2%
1 26
 
7.0%
5 20
 
5.4%
4 14
 
3.8%
2 13
 
3.5%
3 13
 
3.5%
7 12
 
3.2%
- 9
 
2.4%
Other values (5) 34
 
9.2%
Hangul
ValueCountFrequency (%)
산 59
 
7.7%
북 58
 
7.6%
자 48
 
6.3%
도 47
 
6.1%
시 47
 
6.1%
전 46
 
6.0%
특 46
 
6.0%
별 46
 
6.0%
치 46
 
6.0%
군 46
 
6.0%
Other values (84) 277
36.2%

지번주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-03-15T08:04:51.992172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length22.826087
Min length19

Characters and Unicode

Total characters1050
Distinct characters77
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

Unique44 ?
Unique (%)95.7%

Sample

1st row전북특별자치도 군산시 동흥남동 407-12
2nd row전북특별자치도 군산시 개정동 127-1
3rd row전북특별자치도 군산시 동흥남동 407-50
4th row전북특별자치도 군산시 산북동 1325-1
5th row전북특별자치도 군산시 산북동 1431 104호
ValueCountFrequency (%)
전북특별자치도 46
22.8%
군산시 46
22.8%
산북동 9
 
4.5%
나운동 4
 
2.0%
개사동 4
 
2.0%
조촌동 4
 
2.0%
미룡동 3
 
1.5%
내초동 3
 
1.5%
옥구읍 3
 
1.5%
옥정리 2
 
1.0%
Other values (75) 78
38.6%
2024-03-15T08:04:53.383084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
14.9%
산 58
 
5.5%
1 55
 
5.2%
북 55
 
5.2%
도 47
 
4.5%
시 47
 
4.5%
전 46
 
4.4%
특 46
 
4.4%
별 46
 
4.4%
자 46
 
4.4%
Other values (67) 448
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
61.7%
Decimal Number 206
 
19.6%
Space Separator 156
 
14.9%
Dash Punctuation 40
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 58
 
9.0%
북 55
 
8.5%
도 47
 
7.3%
시 47
 
7.3%
전 46
 
7.1%
특 46
 
7.1%
별 46
 
7.1%
자 46
 
7.1%
치 46
 
7.1%
군 46
 
7.1%
Other values (55) 165
25.5%
Decimal Number
ValueCountFrequency (%)
1 55
26.7%
2 26
12.6%
7 19
 
9.2%
4 19
 
9.2%
5 18
 
8.7%
3 17
 
8.3%
8 17
 
8.3%
6 13
 
6.3%
0 12
 
5.8%
9 10
 
4.9%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
61.7%
Common 402
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 58
 
9.0%
북 55
 
8.5%
도 47
 
7.3%
시 47
 
7.3%
전 46
 
7.1%
특 46
 
7.1%
별 46
 
7.1%
자 46
 
7.1%
치 46
 
7.1%
군 46
 
7.1%
Other values (55) 165
25.5%
Common
ValueCountFrequency (%)
156
38.8%
1 55
 
13.7%
- 40
 
10.0%
2 26
 
6.5%
7 19
 
4.7%
4 19
 
4.7%
5 18
 
4.5%
3 17
 
4.2%
8 17
 
4.2%
6 13
 
3.2%
Other values (2) 22
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 648
61.7%
ASCII 402
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
38.8%
1 55
 
13.7%
- 40
 
10.0%
2 26
 
6.5%
7 19
 
4.7%
4 19
 
4.7%
5 18
 
4.5%
3 17
 
4.2%
8 17
 
4.2%
6 13
 
3.2%
Other values (2) 22
 
5.5%
Hangul
ValueCountFrequency (%)
산 58
 
9.0%
북 55
 
8.5%
도 47
 
7.3%
시 47
 
7.3%
전 46
 
7.1%
특 46
 
7.1%
별 46
 
7.1%
자 46
 
7.1%
치 46
 
7.1%
군 46
 
7.1%
Other values (55) 165
25.5%

전화번호
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-03-15T08:04:54.242383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique44 ?
Unique (%)95.7%

Sample

1st row063-445-0701
2nd row063-451-7043
3rd row063-443-0303
4th row063-471-1544
5th row063-461-1978
ValueCountFrequency (%)
063-462-8869 2
 
4.3%
063-445-0701 1
 
2.2%
063-466-8636 1
 
2.2%
063-462-6679 1
 
2.2%
063-462-9533 1
 
2.2%
063-461-5656 1
 
2.2%
063-442-7647 1
 
2.2%
063-467-4452 1
 
2.2%
063-452-0098 1
 
2.2%
063-452-0600 1
 
2.2%
Other values (35) 35
76.1%
2024-03-15T08:04:55.479770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 97
17.6%
- 92
16.7%
0 77
13.9%
3 71
12.9%
4 70
12.7%
5 35
 
6.3%
7 32
 
5.8%
1 29
 
5.3%
2 18
 
3.3%
8 17
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 97
21.1%
0 77
16.7%
3 71
15.4%
4 70
15.2%
5 35
 
7.6%
7 32
 
7.0%
1 29
 
6.3%
2 18
 
3.9%
8 17
 
3.7%
9 14
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 97
17.6%
- 92
16.7%
0 77
13.9%
3 71
12.9%
4 70
12.7%
5 35
 
6.3%
7 32
 
5.8%
1 29
 
5.3%
2 18
 
3.3%
8 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 97
17.6%
- 92
16.7%
0 77
13.9%
3 71
12.9%
4 70
12.7%
5 35
 
6.3%
7 32
 
5.8%
1 29
 
5.3%
2 18
 
3.3%
8 17
 
3.1%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
구조물해체 및 비계공사업
46 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구조물해체 및 비계공사업
2nd row구조물해체 및 비계공사업
3rd row구조물해체 및 비계공사업
4th row구조물해체 및 비계공사업
5th row구조물해체 및 비계공사업

Common Values

ValueCountFrequency (%)
구조물해체 및 비계공사업 46
100.0%

Length

2024-03-15T08:04:55.878320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:56.043842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조물해체 46
33.3%
및 46
33.3%
비계공사업 46
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-01-22
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-22
2nd row2024-01-22
3rd row2024-01-22
4th row2024-01-22
5th row2024-01-22

Common Values

ValueCountFrequency (%)
2024-01-22 46
100.0%

Length

2024-03-15T08:04:56.205528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:56.444399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-22 46
100.0%

Interactions

2024-03-15T08:04:45.065308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:04:56.619158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명도로명주소지번주소전화번호
연번1.0001.0000.9460.9460.946
업체명1.0001.0001.0001.0001.000
도로명주소0.9461.0001.0001.0001.000
지번주소0.9461.0001.0001.0001.000
전화번호0.9461.0001.0001.0001.000

Missing values

2024-03-15T08:04:45.247695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:04:45.472755image/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

연번업체명도로명주소지번주소전화번호업종데이터기준일자
01(유)군산폐기물전북특별자치도 군산시 동팔마길 5-1(동흥남동)전북특별자치도 군산시 동흥남동 407-12063-445-0701구조물해체 및 비계공사업2024-01-22
12(유)금산기초건설전북특별자치도 군산시 번영로 455(개정동)전북특별자치도 군산시 개정동 127-1063-451-7043구조물해체 및 비계공사업2024-01-22
23(유)다모아건설전북특별자치도 군산시 동팔마길 11(동흥남동)전북특별자치도 군산시 동흥남동 407-50063-443-0303구조물해체 및 비계공사업2024-01-22
34(유)대광건설산업전북특별자치도 군산시 공항로 158-3(산북동)전북특별자치도 군산시 산북동 1325-1063-471-1544구조물해체 및 비계공사업2024-01-22
45(유)대원안전비계전북특별자치도 군산시 외항로 58(산북동)전북특별자치도 군산시 산북동 1431 104호063-461-1978구조물해체 및 비계공사업2024-01-22
56(유)만경기술전북특별자치도 군산시 대야면 만자로 50전북특별자치도 군산시 대야면 지경리 870-3063-246-6055구조물해체 및 비계공사업2024-01-22
67(유)바로산업전북특별자치도 군산시 개정들4길 58 (개정동)전북특별자치도 군산시 개정동 19-4041-956-5484구조물해체 및 비계공사업2024-01-22
78(유)서림산업전북특별자치도 군산시 법원로 79(조촌동)전북특별자치도 군산시 조촌동 749-7063-446-0775구조물해체 및 비계공사업2024-01-22
89(유)성화환경건설전북특별자치도 군산시 구영1길 79(금동)전북특별자치도 군산시 금동 9-36063-446-0771구조물해체 및 비계공사업2024-01-22
910(유)승일건설전북특별자치도 군산시 개사길 71(개사동)전북특별자치도 군산시 개사동 47-1063-463-5170구조물해체 및 비계공사업2024-01-22
연번업체명도로명주소지번주소전화번호업종데이터기준일자
3637㈜한울건설전북특별자치도 군산시 신설로 49(나운동)전북특별자치도 군산시 나운동 773-1 한울드림빌 5층063-452-6032구조물해체 및 비계공사업2024-01-22
3738(주)한일이엔씨전북특별자치도 군산시 앞고지길 30 (개사동)전북특별자치도 군산시 개사동 805-2063-467-0985구조물해체 및 비계공사업2024-01-22
3839㈜현성환경전북특별자치도 군산시 성산면 산남길 141전북특별자치도 군산시 성산면 산곡리 624-1063-734-4567구조물해체 및 비계공사업2024-01-22
3940대한이앤이주식회사전북특별자치도 군산시 옥서북길 276-27(내초동)전북특별자치도 군산시 내초동 215-21063-451-7111구조물해체 및 비계공사업2024-01-22
4041동방산업전북특별자치도 군산시 미창마을길 10(산북동)전북특별자치도 군산시 산북동 1119-4063-471-2377구조물해체 및 비계공사업2024-01-22
4142동오건설㈜전북특별자치도 군산시 월명1길 3(월명동, 클래시움 아파트)전북특별자치도 군산시 월명동 23-1 클래시움아파트 201동 상가301호063-464-5635구조물해체 및 비계공사업2024-01-22
4243서해산업전북특별자치도 군산시 옥서면 공항로 754전북특별자치도 군산시 옥서면 옥봉리 629063-463-0310구조물해체 및 비계공사업2024-01-22
4344에스플러스건설주식회사전북특별자치도 군산시 백토로 244(나운동)전북특별자치도 군산시 나운동 155-6 상가동 202호063-466-9438구조물해체 및 비계공사업2024-01-22
4445주식회사청우전북특별자치도 군산시 오룡로 53(명산동)전북특별자치도 군산시 명산동 21-8063-468-5631구조물해체 및 비계공사업2024-01-22
4546주식회사태청건설전북특별자치도 군산시 옥구읍 옥정길 59전북특별자치도 군산시 옥구읍 옥정리 51-3063-462-8869구조물해체 및 비계공사업2024-01-22