Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description보령시에서 공사를 계약한 정보(관서명, 계약방법 ,계약명, 계약금액, 계약일, 계약상대자)에 관한 현황입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=327&beforeMenuCd=DOM_000000201001001000&publicdatapk=15090070

Alerts

계약금액 is highly skewed (γ1 = 22.57671145)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:39:35.227538
Analysis finished2024-01-09 20:39:36.597654
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8103.2035
Minimum1
Maximum16212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:36.663194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile851.95
Q14059.5
median8099.5
Q312132.25
95-th percentile15375.05
Maximum16212
Range16211
Interquartile range (IQR)8072.75

Descriptive statistics

Standard deviation4665.0356
Coefficient of variation (CV)0.57570263
Kurtosis-1.1977642
Mean8103.2035
Median Absolute Deviation (MAD)4036
Skewness-0.0011236956
Sum81032035
Variance21762557
MonotonicityNot monotonic
2024-01-10T05:39:36.790074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14359 1
 
< 0.1%
4010 1
 
< 0.1%
15093 1
 
< 0.1%
6915 1
 
< 0.1%
4221 1
 
< 0.1%
16068 1
 
< 0.1%
4570 1
 
< 0.1%
406 1
 
< 0.1%
1018 1
 
< 0.1%
2709 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
16212 1
< 0.1%
16211 1
< 0.1%
16209 1
< 0.1%
16208 1
< 0.1%
16207 1
< 0.1%
16206 1
< 0.1%
16203 1
< 0.1%
16200 1
< 0.1%
16198 1
< 0.1%
16197 1
< 0.1%

관서명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
4968 
웅천읍
 
459
천북면
 
439
주교면
 
431
주산면
 
399
Other values (17)
3304 

Length

Max length9
Median length6
Mean length2.6777
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본청
2nd row미산면
3rd row본청
4th row본청
5th row본청

Common Values

ValueCountFrequency (%)
본청 4968
49.7%
웅천읍 459
 
4.6%
천북면 439
 
4.4%
주교면 431
 
4.3%
주산면 399
 
4.0%
청소면 390
 
3.9%
청라면 382
 
3.8%
오천면 352
 
3.5%
남포면 327
 
3.3%
미산면 320
 
3.2%
Other values (12) 1533
 
15.3%

Length

2024-01-10T05:39:36.923863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 4968
49.7%
웅천읍 459
 
4.6%
천북면 439
 
4.4%
주교면 431
 
4.3%
주산면 399
 
4.0%
청소면 390
 
3.9%
청라면 382
 
3.8%
오천면 352
 
3.5%
남포면 327
 
3.3%
미산면 320
 
3.2%
Other values (12) 1533
 
15.3%

계약방법
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
7352 
수의2인이상견적
2095 
제한경쟁
 
466
일반경쟁
 
87

Length

Max length8
Median length6
Mean length6.3084
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수의1인견적
2nd row수의1인견적
3rd row수의1인견적
4th row수의1인견적
5th row수의1인견적

Common Values

ValueCountFrequency (%)
수의1인견적 7352
73.5%
수의2인이상견적 2095
 
20.9%
제한경쟁 466
 
4.7%
일반경쟁 87
 
0.9%

Length

2024-01-10T05:39:37.051272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:37.157221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 7352
73.5%
수의2인이상견적 2095
 
20.9%
제한경쟁 466
 
4.7%
일반경쟁 87
 
0.9%
Distinct9409
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:37.442330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length17.9898
Min length7

Characters and Unicode

Total characters179898
Distinct characters702
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9009 ?
Unique (%)90.1%

Sample

1st row원도심 복합업무타운부지 임시주차장 설치공사
2nd row봉성리외1건 맨홀보수
3rd row대천역 정문 앞 무인단속카메라(CCTV) 이설공사 계약
4th row2020년 성주산자연휴양림 보완사업(전기)
5th row웅천읍 평2리 마을주차장 포장공사 실시설계용역
ValueCountFrequency (%)
정비공사 1454
 
4.1%
배수로 1435
 
4.0%
공사 921
 
2.6%
설치공사 874
 
2.5%
842
 
2.4%
마을안길 830
 
2.3%
보수공사 503
 
1.4%
포장공사 471
 
1.3%
시행결의 438
 
1.2%
설치 227
 
0.6%
Other values (7635) 27447
77.4%
2024-01-10T05:39:37.871640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25442
 
14.1%
10637
 
5.9%
9463
 
5.3%
4926
 
2.7%
4610
 
2.6%
3855
 
2.1%
3275
 
1.8%
3150
 
1.8%
2938
 
1.6%
) 2873
 
1.6%
Other values (692) 108729
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137306
76.3%
Space Separator 25442
 
14.1%
Decimal Number 9837
 
5.5%
Close Punctuation 2996
 
1.7%
Open Punctuation 2989
 
1.7%
Dash Punctuation 502
 
0.3%
Uppercase Letter 443
 
0.2%
Other Punctuation 263
 
0.1%
Math Symbol 57
 
< 0.1%
Lowercase Letter 30
 
< 0.1%
Other values (2) 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10637
 
7.7%
9463
 
6.9%
4926
 
3.6%
4610
 
3.4%
3855
 
2.8%
3275
 
2.4%
3150
 
2.3%
2938
 
2.1%
2605
 
1.9%
2452
 
1.8%
Other values (628) 89395
65.1%
Uppercase Letter
ValueCountFrequency (%)
C 118
26.6%
V 59
13.3%
T 59
13.3%
L 53
12.0%
E 52
11.7%
D 50
11.3%
P 9
 
2.0%
I 9
 
2.0%
A 9
 
2.0%
S 5
 
1.1%
Other values (10) 20
 
4.5%
Decimal Number
ValueCountFrequency (%)
2 2863
29.1%
1 2789
28.4%
3 1044
 
10.6%
0 860
 
8.7%
4 606
 
6.2%
5 418
 
4.2%
6 373
 
3.8%
8 319
 
3.2%
7 296
 
3.0%
9 269
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 158
60.1%
. 41
 
15.6%
· 41
 
15.6%
" 8
 
3.0%
/ 7
 
2.7%
; 5
 
1.9%
* 2
 
0.8%
@ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 7
23.3%
v 4
13.3%
t 4
13.3%
i 4
13.3%
z 4
13.3%
p 4
13.3%
a 2
 
6.7%
y 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 2873
95.9%
] 114
 
3.8%
7
 
0.2%
1
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2866
95.9%
[ 114
 
3.8%
7
 
0.2%
1
 
< 0.1%
1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
Math Symbol
ValueCountFrequency (%)
~ 55
96.5%
+ 2
 
3.5%
Space Separator
ValueCountFrequency (%)
25442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 502
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137306
76.3%
Common 42110
 
23.4%
Latin 482
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10637
 
7.7%
9463
 
6.9%
4926
 
3.6%
4610
 
3.4%
3855
 
2.8%
3275
 
2.4%
3150
 
2.3%
2938
 
2.1%
2605
 
1.9%
2452
 
1.8%
Other values (628) 89395
65.1%
Common
ValueCountFrequency (%)
25442
60.4%
) 2873
 
6.8%
( 2866
 
6.8%
2 2863
 
6.8%
1 2789
 
6.6%
3 1044
 
2.5%
0 860
 
2.0%
4 606
 
1.4%
- 502
 
1.2%
5 418
 
1.0%
Other values (23) 1847
 
4.4%
Latin
ValueCountFrequency (%)
C 118
24.5%
V 59
12.2%
T 59
12.2%
L 53
11.0%
E 52
10.8%
D 50
10.4%
P 9
 
1.9%
I 9
 
1.9%
A 9
 
1.9%
c 7
 
1.5%
Other values (21) 57
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137303
76.3%
ASCII 42524
 
23.6%
None 59
 
< 0.1%
Number Forms 9
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25442
59.8%
) 2873
 
6.8%
( 2866
 
6.7%
2 2863
 
6.7%
1 2789
 
6.6%
3 1044
 
2.5%
0 860
 
2.0%
4 606
 
1.4%
- 502
 
1.2%
5 418
 
1.0%
Other values (44) 2261
 
5.3%
Hangul
ValueCountFrequency (%)
10637
 
7.7%
9463
 
6.9%
4926
 
3.6%
4610
 
3.4%
3855
 
2.8%
3275
 
2.4%
3150
 
2.3%
2938
 
2.1%
2605
 
1.9%
2452
 
1.8%
Other values (627) 89392
65.1%
None
ValueCountFrequency (%)
· 41
69.5%
7
 
11.9%
7
 
11.9%
1
 
1.7%
1
 
1.7%
1
 
1.7%
1
 
1.7%
Number Forms
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
Compat Jamo
ValueCountFrequency (%)
3
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct6898
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43819346
Minimum110000
Maximum9.81638 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:38.013496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110000
5-th percentile1896636.5
Q15456250
median11537000
Q323855678
95-th percentile1.360185 × 108
Maximum9.81638 × 109
Range9.81627 × 109
Interquartile range (IQR)18399428

Descriptive statistics

Standard deviation2.1755739 × 108
Coefficient of variation (CV)4.9648708
Kurtosis747.43777
Mean43819346
Median Absolute Deviation (MAD)7206000
Skewness22.576711
Sum4.3819346 × 1011
Variance4.733122 × 1016
MonotonicityNot monotonic
2024-01-10T05:39:38.155195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4750000 63
 
0.6%
2850000 42
 
0.4%
9500000 41
 
0.4%
7600000 38
 
0.4%
9000000 37
 
0.4%
3800000 34
 
0.3%
9300000 31
 
0.3%
4900000 29
 
0.3%
13500000 27
 
0.3%
18000000 26
 
0.3%
Other values (6888) 9632
96.3%
ValueCountFrequency (%)
110000 1
 
< 0.1%
250000 2
< 0.1%
270000 1
 
< 0.1%
296290 1
 
< 0.1%
300000 1
 
< 0.1%
310000 1
 
< 0.1%
330000 3
< 0.1%
378010 1
 
< 0.1%
396000 1
 
< 0.1%
400000 4
< 0.1%
ValueCountFrequency (%)
9816380000 1
< 0.1%
8063556000 1
< 0.1%
5642612000 1
< 0.1%
5376834740 1
< 0.1%
5263478000 1
< 0.1%
4068187400 1
< 0.1%
3666545000 1
< 0.1%
3000000000 1
< 0.1%
2982726700 1
< 0.1%
2678376000 1
< 0.1%
Distinct2005
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-13 00:00:00
Maximum2022-09-23 00:00:00
2024-01-10T05:39:38.278467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:38.626908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1464
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:38.833696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.4206
Min length1

Characters and Unicode

Total characters74206
Distinct characters374
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique707 ?
Unique (%)7.1%

Sample

1st row천성건설산업(주)
2nd row(주)동대수도건설
3rd row주식회사 디와이
4th row(주)태양전력
5th row(주)천마건설엔지니어링
ValueCountFrequency (%)
주식회사 1569
 
13.4%
유)네오건설 157
 
1.3%
신천건설(주 154
 
1.3%
우리토건(주 151
 
1.3%
주)럭키건설 149
 
1.3%
주)씨제이 138
 
1.2%
보령시산림조합 124
 
1.1%
대한건설(주 122
 
1.0%
에스에이치건설 121
 
1.0%
주)거산 115
 
1.0%
Other values (1439) 8875
76.0%
2024-01-10T05:39:39.159933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8033
 
10.8%
( 6112
 
8.2%
) 6092
 
8.2%
5206
 
7.0%
4672
 
6.3%
2383
 
3.2%
2181
 
2.9%
2133
 
2.9%
1821
 
2.5%
1675
 
2.3%
Other values (364) 33898
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60279
81.2%
Open Punctuation 6112
 
8.2%
Close Punctuation 6092
 
8.2%
Space Separator 1675
 
2.3%
Other Punctuation 23
 
< 0.1%
Decimal Number 10
 
< 0.1%
Uppercase Letter 9
 
< 0.1%
Other Symbol 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8033
 
13.3%
5206
 
8.6%
4672
 
7.8%
2383
 
4.0%
2181
 
3.6%
2133
 
3.5%
1821
 
3.0%
1267
 
2.1%
1245
 
2.1%
1076
 
1.8%
Other values (345) 30262
50.2%
Decimal Number
ValueCountFrequency (%)
8 3
30.0%
3 2
20.0%
1 2
20.0%
9 1
 
10.0%
5 1
 
10.0%
2 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
33.3%
E 2
22.2%
H 1
 
11.1%
B 1
 
11.1%
C 1
 
11.1%
S 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 21
91.3%
, 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
( 6112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6092
100.0%
Space Separator
ValueCountFrequency (%)
1675
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60284
81.2%
Common 13913
 
18.7%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8033
 
13.3%
5206
 
8.6%
4672
 
7.7%
2383
 
4.0%
2181
 
3.6%
2133
 
3.5%
1821
 
3.0%
1267
 
2.1%
1245
 
2.1%
1076
 
1.8%
Other values (346) 30267
50.2%
Common
ValueCountFrequency (%)
( 6112
43.9%
) 6092
43.8%
1675
 
12.0%
. 21
 
0.2%
8 3
 
< 0.1%
, 2
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
N 3
33.3%
E 2
22.2%
H 1
 
11.1%
B 1
 
11.1%
C 1
 
11.1%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60279
81.2%
ASCII 13922
 
18.8%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8033
 
13.3%
5206
 
8.6%
4672
 
7.8%
2383
 
4.0%
2181
 
3.6%
2133
 
3.5%
1821
 
3.0%
1267
 
2.1%
1245
 
2.1%
1076
 
1.8%
Other values (345) 30262
50.2%
ASCII
ValueCountFrequency (%)
( 6112
43.9%
) 6092
43.8%
1675
 
12.0%
. 21
 
0.2%
8 3
 
< 0.1%
N 3
 
< 0.1%
, 2
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
E 2
 
< 0.1%
Other values (8) 8
 
0.1%
None
ValueCountFrequency (%)
5
100.0%

Interactions

2024-01-10T05:39:36.229877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:36.042412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:36.321599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:36.139575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:39:39.263747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약방법계약금액
번호1.0000.2200.1230.000
관서명0.2201.0000.5470.000
계약방법0.1230.5471.0000.436
계약금액0.0000.0000.4361.000
2024-01-10T05:39:39.369520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법관서명
계약방법1.0000.323
관서명0.3231.000
2024-01-10T05:39:39.481447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명계약방법
번호1.0000.0400.0830.074
계약금액0.0401.0000.0000.207
관서명0.0830.0001.0000.323
계약방법0.0740.2070.3231.000

Missing values

2024-01-10T05:39:36.429383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:39:36.539663image/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

번호관서명계약방법계약명계약금액계약일계약상대자
1435814359본청수의1인견적원도심 복합업무타운부지 임시주차장 설치공사225160002021-12-03천성건설산업(주)
1264012641미산면수의1인견적봉성리외1건 맨홀보수28500002021-02-05(주)동대수도건설
1108811089본청수의1인견적대천역 정문 앞 무인단속카메라(CCTV) 이설공사 계약166284002020-03-04주식회사 디와이
1150411505본청수의1인견적2020년 성주산자연휴양림 보완사업(전기)172300002020-04-22(주)태양전력
731732본청수의1인견적웅천읍 평2리 마을주차장 포장공사 실시설계용역7180002014-04-30(주)천마건설엔지니어링
1103711038본청수의2인이상견적침출수처리시설 탈취배관 증설 및 보수공사280827102020-02-28주식회사 에스플랜트
99669967남포면수의1인견적삼현2리 농업용 관정 노후 모터 교체공사17600002019-06-19종합펌프지하수
1453314534본청수의1인견적통점저수지 권양기 보수공사52310002022-02-07주식회사 어울림
1353213533주산면수의1인견적동오2리 아스콘덧씌우기공사62130002021-05-18보령산업개발합자회사
1095910960남포면수의1인견적신흥1리 마을안길 정비공사133540002020-02-24삼보건설 주식회사
번호관서명계약방법계약명계약금액계약일계약상대자
22022203주산면수의1인견적금암1리 버스승강장 설치공사76000002015-05-12(주)거산
72957296대천3동수의1인견적버스승강장 신규설치공사80750002018-04-03(주)거산
1236312364본청수의2인이상견적2020년 호우피해 복구사업 1지구745413202020-10-28(주)미산
48804881본청수의2인이상견적마강1리 마을진입로 확포장공사 계약의뢰1019560002017-03-02주식회사 성준건설
50805081본청수의2인이상견적회의실(3개소) 노후 방송장비 개선공사345530002017-03-16부경엔지니어링 주식회사
74357436청소면수의1인견적진죽3리 소규모 배수로 정비공사40000002018-04-23신우건업
478479주산면수의1인견적삼곡1리 마을안길 재포장공사81900002014-03-28청보건설(주)
60246025본청수의2인이상견적신구2리 마을진입로 교량 정비공사(도급)228100002017-07-25(주)홍광산업
1598115982주교면수의1인견적주교2리(801)마을안길 정비공사97300002022-07-11미송건설(주)
66846685본청수의2인이상견적은포소하천 정비공사679803702018-01-15서도건설(주)