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 = 29.12463042)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:39:29.822227
Analysis finished2024-01-09 20:39:31.335915
Duration1.51 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%
Mean7013.6588
Minimum2
Maximum14005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:31.398585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile674.95
Q13529.75
median6991.5
Q310481.25
95-th percentile13326.05
Maximum14005
Range14003
Interquartile range (IQR)6951.5

Descriptive statistics

Standard deviation4044.3608
Coefficient of variation (CV)0.57664065
Kurtosis-1.1913851
Mean7013.6588
Median Absolute Deviation (MAD)3479
Skewness-0.0022536842
Sum70136588
Variance16356854
MonotonicityNot monotonic
2024-01-10T05:39:31.538460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9571 1
 
< 0.1%
10064 1
 
< 0.1%
4431 1
 
< 0.1%
420 1
 
< 0.1%
7834 1
 
< 0.1%
2281 1
 
< 0.1%
2730 1
 
< 0.1%
7235 1
 
< 0.1%
4312 1
 
< 0.1%
11650 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
7 1
< 0.1%
8 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 (%)
14005 1
< 0.1%
14004 1
< 0.1%
14003 1
< 0.1%
14000 1
< 0.1%
13997 1
< 0.1%
13996 1
< 0.1%
13995 1
< 0.1%
13994 1
< 0.1%
13993 1
< 0.1%
13990 1
< 0.1%

관서명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
5088 
웅천읍
 
452
천북면
 
428
청소면
 
424
주교면
 
396
Other values (17)
3212 

Length

Max length9
Median length2
Mean length2.6579
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 5088
50.9%
웅천읍 452
 
4.5%
천북면 428
 
4.3%
청소면 424
 
4.2%
주교면 396
 
4.0%
주산면 382
 
3.8%
청라면 372
 
3.7%
오천면 355
 
3.5%
남포면 328
 
3.3%
미산면 311
 
3.1%
Other values (12) 1464
 
14.6%

Length

2024-01-10T05:39:31.694728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 5088
50.9%
웅천읍 452
 
4.5%
천북면 428
 
4.3%
청소면 424
 
4.2%
주교면 396
 
4.0%
주산면 382
 
3.8%
청라면 372
 
3.7%
오천면 355
 
3.5%
남포면 328
 
3.3%
미산면 311
 
3.1%
Other values (12) 1464
 
14.6%

계약방법
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
7308 
수의2인이상견적
2069 
제한경쟁
 
520
일반경쟁
 
103

Length

Max length8
Median length6
Mean length6.2892
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 7308
73.1%
수의2인이상견적 2069
 
20.7%
제한경쟁 520
 
5.2%
일반경쟁 103
 
1.0%

Length

2024-01-10T05:39:32.070252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:32.168259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 7308
73.1%
수의2인이상견적 2069
 
20.7%
제한경쟁 520
 
5.2%
일반경쟁 103
 
1.0%
Distinct9321
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:32.504528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length17.7087
Min length6

Characters and Unicode

Total characters177087
Distinct characters700
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

Unique8866 ?
Unique (%)88.7%

Sample

1st row보령머드멀티랜드마크(편의시설설치)조성사업(전기)
2nd row보령댐 주변 가로수 정비사업
3rd row농어촌마을 화재안전기반(호스릴 소전함)구축 전기공사
4th row모란공원 식당·매점 리모델링공사(석면 철거)
5th row보령시청 청사내 소나무 전지공사
ValueCountFrequency (%)
정비공사 1421
 
4.0%
배수로 1399
 
4.0%
공사 963
 
2.7%
855
 
2.4%
마을안길 854
 
2.4%
설치공사 813
 
2.3%
보수공사 519
 
1.5%
포장공사 440
 
1.2%
설치 239
 
0.7%
시행결의 223
 
0.6%
Other values (7301) 27583
78.1%
2024-01-10T05:39:33.044946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25309
 
14.3%
10667
 
6.0%
9447
 
5.3%
4802
 
2.7%
4574
 
2.6%
3729
 
2.1%
3196
 
1.8%
3087
 
1.7%
2942
 
1.7%
2 2639
 
1.5%
Other values (690) 106695
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136671
77.2%
Space Separator 25309
 
14.3%
Decimal Number 8690
 
4.9%
Close Punctuation 2645
 
1.5%
Open Punctuation 2637
 
1.5%
Uppercase Letter 466
 
0.3%
Dash Punctuation 325
 
0.2%
Other Punctuation 240
 
0.1%
Math Symbol 70
 
< 0.1%
Lowercase Letter 19
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10667
 
7.8%
9447
 
6.9%
4802
 
3.5%
4574
 
3.3%
3729
 
2.7%
3196
 
2.3%
3087
 
2.3%
2942
 
2.2%
2599
 
1.9%
2451
 
1.8%
Other values (629) 89177
65.2%
Uppercase Letter
ValueCountFrequency (%)
C 118
25.3%
L 61
13.1%
E 60
12.9%
T 59
12.7%
D 59
12.7%
V 57
12.2%
P 13
 
2.8%
S 8
 
1.7%
I 7
 
1.5%
U 6
 
1.3%
Other values (8) 18
 
3.9%
Decimal Number
ValueCountFrequency (%)
2 2639
30.4%
1 2563
29.5%
3 945
 
10.9%
0 859
 
9.9%
4 468
 
5.4%
5 290
 
3.3%
6 289
 
3.3%
8 236
 
2.7%
7 207
 
2.4%
9 194
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 154
64.2%
· 34
 
14.2%
. 34
 
14.2%
/ 9
 
3.8%
@ 3
 
1.2%
" 2
 
0.8%
1
 
0.4%
: 1
 
0.4%
? 1
 
0.4%
1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 7
36.8%
v 4
21.1%
t 4
21.1%
p 1
 
5.3%
z 1
 
5.3%
i 1
 
5.3%
a 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 2554
96.6%
] 86
 
3.3%
3
 
0.1%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2546
96.5%
[ 86
 
3.3%
3
 
0.1%
2
 
0.1%
Letter Number
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 68
97.1%
+ 2
 
2.9%
Space Separator
ValueCountFrequency (%)
25309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 325
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136671
77.2%
Common 39921
 
22.5%
Latin 495
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10667
 
7.8%
9447
 
6.9%
4802
 
3.5%
4574
 
3.3%
3729
 
2.7%
3196
 
2.3%
3087
 
2.3%
2942
 
2.2%
2599
 
1.9%
2451
 
1.8%
Other values (629) 89177
65.2%
Common
ValueCountFrequency (%)
25309
63.4%
2 2639
 
6.6%
1 2563
 
6.4%
) 2554
 
6.4%
( 2546
 
6.4%
3 945
 
2.4%
0 859
 
2.2%
4 468
 
1.2%
- 325
 
0.8%
5 290
 
0.7%
Other values (23) 1423
 
3.6%
Latin
ValueCountFrequency (%)
C 118
23.8%
L 61
12.3%
E 60
12.1%
T 59
11.9%
D 59
11.9%
V 57
11.5%
P 13
 
2.6%
S 8
 
1.6%
c 7
 
1.4%
I 7
 
1.4%
Other values (18) 46
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136667
77.2%
ASCII 40360
 
22.8%
None 46
 
< 0.1%
Number Forms 10
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25309
62.7%
2 2639
 
6.5%
1 2563
 
6.4%
) 2554
 
6.3%
( 2546
 
6.3%
3 945
 
2.3%
0 859
 
2.1%
4 468
 
1.2%
- 325
 
0.8%
5 290
 
0.7%
Other values (41) 1862
 
4.6%
Hangul
ValueCountFrequency (%)
10667
 
7.8%
9447
 
6.9%
4802
 
3.5%
4574
 
3.3%
3729
 
2.7%
3196
 
2.3%
3087
 
2.3%
2942
 
2.2%
2599
 
1.9%
2451
 
1.8%
Other values (628) 89173
65.2%
None
ValueCountFrequency (%)
· 34
73.9%
3
 
6.5%
3
 
6.5%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
Number Forms
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
4
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct6816
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49177768
Minimum159000
Maximum1.5638007 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:33.180150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159000
5-th percentile1920000
Q15478750
median11748500
Q325168515
95-th percentile1.413117 × 108
Maximum1.5638007 × 1010
Range1.5637848 × 1010
Interquartile range (IQR)19689765

Descriptive statistics

Standard deviation3.2143449 × 108
Coefficient of variation (CV)6.5361749
Kurtosis1105.6407
Mean49177768
Median Absolute Deviation (MAD)7303000
Skewness29.12463
Sum4.9177768 × 1011
Variance1.0332013 × 1017
MonotonicityNot monotonic
2024-01-10T05:39:33.318717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4750000 82
 
0.8%
2850000 48
 
0.5%
7600000 42
 
0.4%
9500000 38
 
0.4%
9000000 35
 
0.4%
3800000 32
 
0.3%
3000000 32
 
0.3%
9300000 29
 
0.3%
18000000 27
 
0.3%
4400000 25
 
0.2%
Other values (6806) 9610
96.1%
ValueCountFrequency (%)
159000 1
 
< 0.1%
165000 1
 
< 0.1%
250000 2
 
< 0.1%
270000 1
 
< 0.1%
299880 1
 
< 0.1%
300000 2
 
< 0.1%
310000 1
 
< 0.1%
378010 1
 
< 0.1%
400000 5
0.1%
440000 3
< 0.1%
ValueCountFrequency (%)
15638007000 1
< 0.1%
13025797000 1
< 0.1%
11277800000 1
< 0.1%
8991903000 1
< 0.1%
8095590000 1
< 0.1%
6012500000 1
< 0.1%
5573179000 1
< 0.1%
4944500000 1
< 0.1%
4343745000 1
< 0.1%
4068187400 1
< 0.1%
Distinct1797
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-13 00:00:00
Maximum2021-09-23 00:00:00
2024-01-10T05:39:33.449447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:33.570841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1489
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:33.837230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.3758
Min length2

Characters and Unicode

Total characters73758
Distinct characters386
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)7.1%

Sample

1st row국일전기
2nd row(주)청양조경건설
3rd row대동아전력(주)
4th row(주)이코
5th row(주)녹화창조
ValueCountFrequency (%)
주식회사 1366
 
11.9%
우리토건(주 168
 
1.5%
유)네오건설 154
 
1.3%
신천건설(주 153
 
1.3%
주)럭키건설 149
 
1.3%
주)씨제이 137
 
1.2%
보령시산림조합 134
 
1.2%
주)무한건설 130
 
1.1%
주)천마건설엔지니어링 126
 
1.1%
에스에이치건설 122
 
1.1%
Other values (1461) 8832
77.0%
2024-01-10T05:39:34.224873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7970
 
10.8%
( 6306
 
8.5%
) 6282
 
8.5%
5103
 
6.9%
4559
 
6.2%
2169
 
2.9%
1962
 
2.7%
1911
 
2.6%
1889
 
2.6%
1471
 
2.0%
Other values (376) 34136
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59644
80.9%
Open Punctuation 6306
 
8.5%
Close Punctuation 6282
 
8.5%
Space Separator 1471
 
2.0%
Uppercase Letter 21
 
< 0.1%
Other Punctuation 20
 
< 0.1%
Decimal Number 10
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7970
 
13.4%
5103
 
8.6%
4559
 
7.6%
2169
 
3.6%
1962
 
3.3%
1911
 
3.2%
1889
 
3.2%
1302
 
2.2%
1254
 
2.1%
1058
 
1.8%
Other values (351) 30467
51.1%
Uppercase Letter
ValueCountFrequency (%)
N 5
23.8%
C 4
19.0%
E 3
14.3%
S 3
14.3%
R 1
 
4.8%
G 1
 
4.8%
B 1
 
4.8%
M 1
 
4.8%
V 1
 
4.8%
T 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
8 3
30.0%
1 2
20.0%
3 2
20.0%
2 1
 
10.0%
5 1
 
10.0%
9 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
e 1
33.3%
n 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 19
95.0%
, 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 6306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6282
100.0%
Space Separator
ValueCountFrequency (%)
1471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59644
80.9%
Common 14090
 
19.1%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7970
 
13.4%
5103
 
8.6%
4559
 
7.6%
2169
 
3.6%
1962
 
3.3%
1911
 
3.2%
1889
 
3.2%
1302
 
2.2%
1254
 
2.1%
1058
 
1.8%
Other values (351) 30467
51.1%
Latin
ValueCountFrequency (%)
N 5
20.8%
C 4
16.7%
E 3
12.5%
S 3
12.5%
R 1
 
4.2%
G 1
 
4.2%
B 1
 
4.2%
M 1
 
4.2%
V 1
 
4.2%
T 1
 
4.2%
Other values (3) 3
12.5%
Common
ValueCountFrequency (%)
( 6306
44.8%
) 6282
44.6%
1471
 
10.4%
. 19
 
0.1%
8 3
 
< 0.1%
1 2
 
< 0.1%
3 2
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59644
80.9%
ASCII 14114
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7970
 
13.4%
5103
 
8.6%
4559
 
7.6%
2169
 
3.6%
1962
 
3.3%
1911
 
3.2%
1889
 
3.2%
1302
 
2.2%
1254
 
2.1%
1058
 
1.8%
Other values (351) 30467
51.1%
ASCII
ValueCountFrequency (%)
( 6306
44.7%
) 6282
44.5%
1471
 
10.4%
. 19
 
0.1%
N 5
 
< 0.1%
C 4
 
< 0.1%
E 3
 
< 0.1%
S 3
 
< 0.1%
8 3
 
< 0.1%
1 2
 
< 0.1%
Other values (15) 16
 
0.1%

Interactions

2024-01-10T05:39:30.935269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:30.709960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:31.040139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:30.819207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:39:34.317634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약방법계약금액
번호1.0000.2050.1190.017
관서명0.2051.0000.5360.000
계약방법0.1190.5361.0000.363
계약금액0.0170.0000.3631.000
2024-01-10T05:39:34.398662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법관서명
계약방법1.0000.314
관서명0.3141.000
2024-01-10T05:39:34.483978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명계약방법
번호1.000-0.0640.0770.072
계약금액-0.0641.0000.0000.169
관서명0.0770.0001.0000.314
계약방법0.0720.1690.3141.000

Missing values

2024-01-10T05:39:31.170692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:39:31.283042image/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
95709571본청일반경쟁보령머드멀티랜드마크(편의시설설치)조성사업(전기)1087520002016-11-01국일전기
98039804본청제한경쟁보령댐 주변 가로수 정비사업827525802016-08-24(주)청양조경건설
90379038본청수의1인견적농어촌마을 화재안전기반(호스릴 소전함)구축 전기공사72569202017-03-06대동아전력(주)
25352536본청수의1인견적모란공원 식당·매점 리모델링공사(석면 철거)91660002020-04-16(주)이코
96699670본청수의1인견적보령시청 청사내 소나무 전지공사93000002016-10-10(주)녹화창조
46794680본청수의2인이상견적대천55통(소3-222) 도시계획도로 개설공사707340002019-04-08(주)대현종합건설
16711672본청수의1인견적국도36호 화산~나원리구간 도로보수공사73420002020-10-20산수개발(주)
1045710458본청수의1인견적공중화장실 시설 개보수공사(지정폐기물 철거)75460102016-04-15주식회사 선
98119812본청수의2인이상견적충남201호(어업지도선) 정기수리공사698800002016-08-22금강중공업
1161811619본청일반경쟁머드공장 머드원액 교반기 모터 교체 외 보수공사219842502015-06-18오창건설
번호관서명계약방법계약명계약금액계약일계약상대자
34533454본청수의2인이상견적2019년 추기조림사업(남부3)432219102019-11-14(유)지산
50535054본청수의1인견적요암2통 농로포장공사181470002019-03-06세광건설(주)
1216912170본청수의1인견적죽청2리 사면보강공사103410002015-03-16서진건설주식회사
86128613본청수의1인견적성주5리 마을안길 포장공사54600002017-04-25(주)일동건설
1244512446주포면수의1인견적보령1리 블럭교체 및 교량 보수 공사55290002015-02-26(주)씨제이
1075510756대천1동수의1인견적죽정6통 도로 포장공사69141002016-03-14에스에이치건설 주식회사
1218312184본청수의1인견적향천2리 농로포장공사 계약의뢰112280002015-03-16제일산업(주)
59455946본청수의1인견적팽팽골 마을상수도 취수시설 보수공사86000002018-08-09(주)천마건설엔지니어링
282283천북면수의1인견적천북초후문 배수시설 보강공사(생활민원, 발전소)28800002021-06-15(주)신화건설
56645665웅천읍수의1인견적배챙이수리계 양수장 다단터빈펌프 교체공사39000002018-10-24효성모터전기