Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells23
Missing cells (%)< 0.1%
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 용역수의계약현황정보(관서명,계약방법,계약명,계약금액,계약일,계약상대자)에 관한 현황입니다.보다 자세한 사항은 보령시 계약과정정보공개시스템(http://contract.brcn.go.kr/)에서 확인하실 수 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=327&beforeMenuCd=DOM_000000201001001000&publicdatapk=15090089

Alerts

계약방법 has constant value ""Constant
관서명 is highly imbalanced (66.2%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:44:12.576037
Analysis finished2024-01-09 20:44:13.997486
Duration1.42 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%
Mean5111.2305
Minimum1
Maximum10210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:44:14.070046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile507.95
Q12554.75
median5121.5
Q37665.25
95-th percentile9697.05
Maximum10210
Range10209
Interquartile range (IQR)5110.5

Descriptive statistics

Standard deviation2948.6522
Coefficient of variation (CV)0.57689673
Kurtosis-1.2004814
Mean5111.2305
Median Absolute Deviation (MAD)2555.5
Skewness-0.0043979415
Sum51112305
Variance8694549.5
MonotonicityNot monotonic
2024-01-10T05:44:14.224818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6942 1
 
< 0.1%
6349 1
 
< 0.1%
5791 1
 
< 0.1%
5725 1
 
< 0.1%
9365 1
 
< 0.1%
7097 1
 
< 0.1%
1212 1
 
< 0.1%
8710 1
 
< 0.1%
9448 1
 
< 0.1%
4355 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
10210 1
< 0.1%
10209 1
< 0.1%
10208 1
< 0.1%
10207 1
< 0.1%
10206 1
< 0.1%
10205 1
< 0.1%
10204 1
< 0.1%
10203 1
< 0.1%
10202 1
< 0.1%
10201 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
8031 
보건소
 
281
농업기술센터
 
223
웅천읍
 
160
오천면
 
132
Other values (18)
1173 

Length

Max length9
Median length2
Mean length2.3424
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 8031
80.3%
보건소 281
 
2.8%
농업기술센터 223
 
2.2%
웅천읍 160
 
1.6%
오천면 132
 
1.3%
주산면 124
 
1.2%
주교면 117
 
1.2%
남포면 93
 
0.9%
천북면 86
 
0.9%
청소면 85
 
0.9%
Other values (13) 668
 
6.7%

Length

2024-01-10T05:44:14.370990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 8031
80.3%
보건소 281
 
2.8%
농업기술센터 223
 
2.2%
웅천읍 160
 
1.6%
오천면 132
 
1.3%
주산면 124
 
1.2%
주교면 117
 
1.2%
남포면 93
 
0.9%
천북면 86
 
0.9%
청소면 85
 
0.9%
Other values (13) 668
 
6.7%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 10000
100.0%

Length

2024-01-10T05:44:14.501914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:44:14.598670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 10000
100.0%
Distinct9694
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:44:14.842408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length25.2908
Min length5

Characters and Unicode

Total characters252908
Distinct characters822
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9446 ?
Unique (%)94.5%

Sample

1st row영보저수지 준설사업 실시설계용역
2nd row드림스타트 우리가족 힐링캠프 위탁 운영비
3rd row효자도 도서식수원 개량공사 실시설계용역
4th row읍내리 배수로 복개공사 외 5건 실시설계용역
5th row청소농공단지 기반시설 보강공사 실시설계용역
ValueCountFrequency (%)
실시설계용역 3414
 
7.0%
용역 2684
 
5.5%
1222
 
2.5%
실시설계 911
 
1.9%
611
 
1.2%
정비공사 485
 
1.0%
폐기물처리용역 481
 
1.0%
시행결의 371
 
0.8%
배수로 351
 
0.7%
설치공사 333
 
0.7%
Other values (9608) 38172
77.8%
2024-01-10T05:44:15.235225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39035
 
15.4%
9117
 
3.6%
9083
 
3.6%
7651
 
3.0%
7203
 
2.8%
6936
 
2.7%
5951
 
2.4%
5357
 
2.1%
4814
 
1.9%
2 4644
 
1.8%
Other values (812) 153117
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192254
76.0%
Space Separator 39035
 
15.4%
Decimal Number 13904
 
5.5%
Close Punctuation 2628
 
1.0%
Open Punctuation 2618
 
1.0%
Uppercase Letter 1167
 
0.5%
Other Punctuation 631
 
0.2%
Dash Punctuation 428
 
0.2%
Math Symbol 117
 
< 0.1%
Lowercase Letter 113
 
< 0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9117
 
4.7%
9083
 
4.7%
7651
 
4.0%
7203
 
3.7%
6936
 
3.6%
5951
 
3.1%
5357
 
2.8%
4814
 
2.5%
4469
 
2.3%
3520
 
1.8%
Other values (724) 128153
66.7%
Uppercase Letter
ValueCountFrequency (%)
C 132
11.3%
S 125
10.7%
I 110
 
9.4%
D 104
 
8.9%
B 103
 
8.8%
T 77
 
6.6%
V 71
 
6.1%
F 53
 
4.5%
P 52
 
4.5%
E 46
 
3.9%
Other values (15) 294
25.2%
Lowercase Letter
ValueCountFrequency (%)
o 15
13.3%
e 15
13.3%
c 12
 
10.6%
t 8
 
7.1%
i 7
 
6.2%
v 5
 
4.4%
l 5
 
4.4%
y 5
 
4.4%
a 5
 
4.4%
r 4
 
3.5%
Other values (13) 32
28.3%
Other Punctuation
ValueCountFrequency (%)
, 391
62.0%
. 74
 
11.7%
· 72
 
11.4%
/ 40
 
6.3%
" 35
 
5.5%
: 4
 
0.6%
! 4
 
0.6%
& 3
 
0.5%
? 2
 
0.3%
@ 2
 
0.3%
Other values (3) 4
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 4644
33.4%
1 3007
21.6%
0 2579
18.5%
3 1034
 
7.4%
4 546
 
3.9%
5 506
 
3.6%
6 460
 
3.3%
8 392
 
2.8%
9 388
 
2.8%
7 348
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 2461
93.6%
] 73
 
2.8%
61
 
2.3%
31
 
1.2%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2451
93.6%
[ 72
 
2.8%
61
 
2.3%
32
 
1.2%
2
 
0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
39035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Math Symbol
ValueCountFrequency (%)
~ 117
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192254
76.0%
Common 59372
 
23.5%
Latin 1282
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9117
 
4.7%
9083
 
4.7%
7651
 
4.0%
7203
 
3.7%
6936
 
3.6%
5951
 
3.1%
5357
 
2.8%
4814
 
2.5%
4469
 
2.3%
3520
 
1.8%
Other values (724) 128153
66.7%
Latin
ValueCountFrequency (%)
C 132
 
10.3%
S 125
 
9.8%
I 110
 
8.6%
D 104
 
8.1%
B 103
 
8.0%
T 77
 
6.0%
V 71
 
5.5%
F 53
 
4.1%
P 52
 
4.1%
E 46
 
3.6%
Other values (40) 409
31.9%
Common
ValueCountFrequency (%)
39035
65.7%
2 4644
 
7.8%
1 3007
 
5.1%
0 2579
 
4.3%
) 2461
 
4.1%
( 2451
 
4.1%
3 1034
 
1.7%
4 546
 
0.9%
5 506
 
0.9%
6 460
 
0.8%
Other values (28) 2649
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192251
76.0%
ASCII 60389
 
23.9%
None 263
 
0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39035
64.6%
2 4644
 
7.7%
1 3007
 
5.0%
0 2579
 
4.3%
) 2461
 
4.1%
( 2451
 
4.1%
3 1034
 
1.7%
4 546
 
0.9%
5 506
 
0.8%
6 460
 
0.8%
Other values (67) 3666
 
6.1%
Hangul
ValueCountFrequency (%)
9117
 
4.7%
9083
 
4.7%
7651
 
4.0%
7203
 
3.7%
6936
 
3.6%
5951
 
3.1%
5357
 
2.8%
4814
 
2.5%
4469
 
2.3%
3520
 
1.8%
Other values (722) 128150
66.7%
None
ValueCountFrequency (%)
· 72
27.4%
61
23.2%
61
23.2%
32
12.2%
31
11.8%
2
 
0.8%
2
 
0.8%
1
 
0.4%
1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

계약금액
Real number (ℝ)

Distinct3938
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10398639
Minimum30000
Maximum1.01 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:44:15.369693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000
5-th percentile1100000
Q13039000
median6576500
Q313160000
95-th percentile19800000
Maximum1.01 × 109
Range1.00997 × 109
Interquartile range (IQR)10121000

Descriptive statistics

Standard deviation25182776
Coefficient of variation (CV)2.4217378
Kurtosis417.32222
Mean10398639
Median Absolute Deviation (MAD)4158500
Skewness16.985253
Sum1.0398639 × 1011
Variance6.3417221 × 1014
MonotonicityNot monotonic
2024-01-10T05:44:15.495578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19800000 180
 
1.8%
18000000 171
 
1.7%
13500000 58
 
0.6%
6000000 44
 
0.4%
9000000 44
 
0.4%
3000000 36
 
0.4%
3600000 36
 
0.4%
3300000 32
 
0.3%
18900000 32
 
0.3%
4750000 31
 
0.3%
Other values (3928) 9336
93.4%
ValueCountFrequency (%)
30000 1
 
< 0.1%
60000 1
 
< 0.1%
66000 2
< 0.1%
77000 3
< 0.1%
88000 3
< 0.1%
90200 1
 
< 0.1%
99000 3
< 0.1%
104500 1
 
< 0.1%
112700 1
 
< 0.1%
121000 1
 
< 0.1%
ValueCountFrequency (%)
1010000000 1
< 0.1%
550000000 1
< 0.1%
549500000 1
< 0.1%
497651000 1
< 0.1%
492500000 1
< 0.1%
474886000 1
< 0.1%
448000000 1
< 0.1%
446729000 1
< 0.1%
428000000 1
< 0.1%
410413000 1
< 0.1%
Distinct2240
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-01 00:00:00
Maximum2023-08-21 00:00:00
2024-01-10T05:44:15.611368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:15.733146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1543
Distinct (%)15.5%
Missing23
Missing (%)0.2%
Memory size156.2 KiB
2024-01-10T05:44:15.935834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.4232735
Min length2

Characters and Unicode

Total characters94016
Distinct characters569
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique832 ?
Unique (%)8.3%

Sample

1st row대림기술공사 주식회사
2nd row인성코리아
3rd row(주)대풍
4th row(주)천마건설엔지니어링
5th row(주)보경엔지니어링
ValueCountFrequency (%)
주식회사 1632
 
13.1%
주)천마건설엔지니어링 440
 
3.5%
주)대웅엔지니어링 440
 
3.5%
대림기술공사 420
 
3.4%
해솔이엔지주식회사 398
 
3.2%
대웅엔지니어링주식회사 379
 
3.1%
대륙엔지니어링 345
 
2.8%
주)보경엔지니어링 315
 
2.5%
삼원환경산업(주 278
 
2.2%
주)보령환경산업 255
 
2.1%
Other values (1589) 7510
60.5%
2024-01-10T05:44:16.243212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7107
 
7.6%
5883
 
6.3%
) 4805
 
5.1%
( 4789
 
5.1%
3511
 
3.7%
3249
 
3.5%
2885
 
3.1%
2680
 
2.9%
2525
 
2.7%
2498
 
2.7%
Other values (559) 54084
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81389
86.6%
Close Punctuation 4805
 
5.1%
Open Punctuation 4789
 
5.1%
Space Separator 2435
 
2.6%
Uppercase Letter 499
 
0.5%
Decimal Number 53
 
0.1%
Other Punctuation 25
 
< 0.1%
Lowercase Letter 17
 
< 0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7107
 
8.7%
5883
 
7.2%
3511
 
4.3%
3249
 
4.0%
2885
 
3.5%
2680
 
3.3%
2525
 
3.1%
2498
 
3.1%
2473
 
3.0%
2388
 
2.9%
Other values (509) 46190
56.8%
Uppercase Letter
ValueCountFrequency (%)
E 115
23.0%
N 102
20.4%
C 98
19.6%
H 40
 
8.0%
A 25
 
5.0%
S 15
 
3.0%
I 13
 
2.6%
K 12
 
2.4%
M 11
 
2.2%
G 10
 
2.0%
Other values (12) 58
11.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
g 2
11.8%
n 2
11.8%
a 2
11.8%
h 2
11.8%
t 1
 
5.9%
f 1
 
5.9%
r 1
 
5.9%
m 1
 
5.9%
w 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 23
43.4%
2 16
30.2%
0 4
 
7.5%
9 3
 
5.7%
8 3
 
5.7%
6 2
 
3.8%
4 1
 
1.9%
7 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 21
84.0%
? 2
 
8.0%
& 1
 
4.0%
1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 4805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4789
100.0%
Space Separator
ValueCountFrequency (%)
2435
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81392
86.6%
Common 12108
 
12.9%
Latin 516
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7107
 
8.7%
5883
 
7.2%
3511
 
4.3%
3249
 
4.0%
2885
 
3.5%
2680
 
3.3%
2525
 
3.1%
2498
 
3.1%
2473
 
3.0%
2388
 
2.9%
Other values (510) 46193
56.8%
Latin
ValueCountFrequency (%)
E 115
22.3%
N 102
19.8%
C 98
19.0%
H 40
 
7.8%
A 25
 
4.8%
S 15
 
2.9%
I 13
 
2.5%
K 12
 
2.3%
M 11
 
2.1%
G 10
 
1.9%
Other values (23) 75
14.5%
Common
ValueCountFrequency (%)
) 4805
39.7%
( 4789
39.6%
2435
20.1%
1 23
 
0.2%
. 21
 
0.2%
2 16
 
0.1%
0 4
 
< 0.1%
9 3
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
Other values (6) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81388
86.6%
ASCII 12623
 
13.4%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7107
 
8.7%
5883
 
7.2%
3511
 
4.3%
3249
 
4.0%
2885
 
3.5%
2680
 
3.3%
2525
 
3.1%
2498
 
3.1%
2473
 
3.0%
2388
 
2.9%
Other values (508) 46189
56.8%
ASCII
ValueCountFrequency (%)
) 4805
38.1%
( 4789
37.9%
2435
19.3%
E 115
 
0.9%
N 102
 
0.8%
C 98
 
0.8%
H 40
 
0.3%
A 25
 
0.2%
1 23
 
0.2%
. 21
 
0.2%
Other values (38) 170
 
1.3%
None
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2024-01-10T05:44:13.629307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:13.453850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:13.718329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:13.541583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:44:16.326377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.2130.000
관서명0.2131.0000.077
계약금액0.0000.0771.000
2024-01-10T05:44:16.404997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.0000.1110.080
계약금액0.1111.0000.033
관서명0.0800.0331.000

Missing values

2024-01-10T05:44:13.842177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:44:13.946614image/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
69416942본청수의1인견적영보저수지 준설사업 실시설계용역56000002020-11-11대림기술공사 주식회사
13511352본청수의1인견적드림스타트 우리가족 힐링캠프 위탁 운영비113500002015-07-27인성코리아
62036204본청수의1인견적효자도 도서식수원 개량공사 실시설계용역81000002020-01-29(주)대풍
46834684본청수의1인견적읍내리 배수로 복개공사 외 5건 실시설계용역97000002018-12-03(주)천마건설엔지니어링
45004501본청수의1인견적청소농공단지 기반시설 보강공사 실시설계용역48400002018-10-01(주)보경엔지니어링
4748보건소수의1인견적2014년 보건소 및 보건지소 감염성폐기물 수거79200002014-01-01(주)재경
46654666본청수의1인견적주산201호(삼동선) 농어촌도로 확포장공사 실시설계용역85600002018-11-27(주)대풍
19611962성주면수의1인견적먹방천 외 1개소 유지보수공사 실시설계용역18500002016-03-23(주)대웅엔지니어링
38923893본청수의1인견적산불현장 출동차량 임차료60000002018-01-31롯데렌탈(주)
76937694본청수의1인견적보령시 제4차 교통안전기본계획 수립 연구용역180000002021-06-02충남지방행정발전연구원
번호관서명계약방법계약명계약금액계약일계약상대자
153154본청수의1인견적2014년 대천연안여객터미널 위탁관리 계약2940000002014-02-06한국해운조합보령출장소
88238824본청수의1인견적지역특성화사업육성 및 식도락특화존 조성 정밀안전진단 용역 시행결의198000002022-05-26주식회사 대한안전진단연구원
13991400본청수의1인견적갈매기아파트 보일러 수리(101동 405호)2090002015-08-28명대상사
37293730본청수의1인견적특산물 전시장 전차항내부 정비공사 실시설계용역28500002018-01-08(주)보경엔지니어링
91849185대천2동수의1인견적대천28통(882) 농배수로 정비공사 실시설계용역 시행결의14700002022-10-07(주)천마건설엔지니어링
81148115본청수의1인견적성연1리(208-3) 소교량재가설공사 건설폐기물처리용역53000002021-12-15충경산업 주식회사
256257본청수의1인견적호우피해수해복구 공사 실시설계 용역(장산리 등 9개 지구)39000002014-03-18(주)솔향산림
13901391본청수의1인견적웅천읍 대창리(소2-22) 도시계획도로 개설사업 지정폐기물 해체용역48417302015-08-24(주)주원건설
84098410본청수의1인견적대로3-2호(보령북로) 아스콘덧씌우기 폐기물처리용역75500002022-02-04주식회사 보령환경산업
74477448원산도출장소수의1인견적사창해수욕장 간이 샤워장 설치공사 기본 및 실시설계용역37000002021-03-16(주)운화건축사사무소