Overview

Dataset statistics

Number of variables7
Number of observations7884
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory446.7 KiB
Average record size in memory58.0 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 (65.4%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:43:58.409131
Analysis finished2024-01-09 20:43:59.740959
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct7884
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3942.5
Minimum1
Maximum7884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.4 KiB
2024-01-10T05:43:59.805923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile395.15
Q11971.75
median3942.5
Q35913.25
95-th percentile7489.85
Maximum7884
Range7883
Interquartile range (IQR)3941.5

Descriptive statistics

Standard deviation2276.0591
Coefficient of variation (CV)0.57731366
Kurtosis-1.2
Mean3942.5
Median Absolute Deviation (MAD)1971
Skewness0
Sum31082670
Variance5180445
MonotonicityStrictly increasing
2024-01-10T05:44:00.182478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5268 1
 
< 0.1%
5266 1
 
< 0.1%
5265 1
 
< 0.1%
5264 1
 
< 0.1%
5263 1
 
< 0.1%
5262 1
 
< 0.1%
5261 1
 
< 0.1%
5260 1
 
< 0.1%
5259 1
 
< 0.1%
Other values (7874) 7874
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 (%)
7884 1
< 0.1%
7883 1
< 0.1%
7882 1
< 0.1%
7881 1
< 0.1%
7880 1
< 0.1%
7879 1
< 0.1%
7878 1
< 0.1%
7877 1
< 0.1%
7876 1
< 0.1%
7875 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
본청
6309 
보건소
 
208
농업기술센터
 
165
웅천읍
 
145
오천면
 
120
Other values (17)
937 

Length

Max length9
Median length2
Mean length2.3439878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 6309
80.0%
보건소 208
 
2.6%
농업기술센터 165
 
2.1%
웅천읍 145
 
1.8%
오천면 120
 
1.5%
주산면 98
 
1.2%
주교면 82
 
1.0%
남포면 80
 
1.0%
천북면 72
 
0.9%
청소면 70
 
0.9%
Other values (12) 535
 
6.8%

Length

2024-01-10T05:44:00.320702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 6309
80.0%
보건소 208
 
2.6%
농업기술센터 165
 
2.1%
웅천읍 145
 
1.8%
오천면 120
 
1.5%
주산면 98
 
1.2%
주교면 82
 
1.0%
남포면 80
 
1.0%
천북면 72
 
0.9%
청소면 70
 
0.9%
Other values (12) 535
 
6.8%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
수의1인견적
7884 

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 7884
100.0%

Length

2024-01-10T05:44:00.428579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:44:00.510083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 7884
100.0%

계약명
Text

Distinct7658
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
2024-01-10T05:44:00.752168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length24.742897
Min length5

Characters and Unicode

Total characters195073
Distinct characters786
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

Unique7471 ?
Unique (%)94.8%

Sample

1st row오천 작은도서관 보안관리 용역비
2nd row2014년 안전행정부지원 정보화마을 홈페이지 유지보수 용역
3rd row2014년 성과관리 프로그램(BSC) 유지보수
4th row2014년 시청사 및 의회청사 오수처리시설 관리요역
5th row2014년 무정전전원장치 유지보수 용역
ValueCountFrequency (%)
실시설계용역 2660
 
7.0%
용역 2191
 
5.8%
및 905
 
2.4%
실시설계 852
 
2.3%
외 422
 
1.1%
정비공사 370
 
1.0%
폐기물처리용역 361
 
1.0%
배수로 262
 
0.7%
설치공사 261
 
0.7%
마을안길 241
 
0.6%
Other values (7980) 29245
77.4%
2024-01-10T05:44:01.170730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29886
 
15.3%
역 7160
 
3.7%
용 7148
 
3.7%
시 5926
 
3.0%
사 5695
 
2.9%
설 5605
 
2.9%
계 4703
 
2.4%
공 4281
 
2.2%
실 3910
 
2.0%
리 3598
 
1.8%
Other values (776) 117161
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149223
76.5%
Space Separator 29886
 
15.3%
Decimal Number 10377
 
5.3%
Close Punctuation 1872
 
1.0%
Open Punctuation 1863
 
1.0%
Uppercase Letter 907
 
0.5%
Other Punctuation 490
 
0.3%
Dash Punctuation 270
 
0.1%
Math Symbol 93
 
< 0.1%
Lowercase Letter 86
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 7160
 
4.8%
용 7148
 
4.8%
시 5926
 
4.0%
사 5695
 
3.8%
설 5605
 
3.8%
계 4703
 
3.2%
공 4281
 
2.9%
실 3910
 
2.6%
리 3598
 
2.4%
수 2836
 
1.9%
Other values (691) 98361
65.9%
Uppercase Letter
ValueCountFrequency (%)
C 112
12.3%
I 92
10.1%
S 90
9.9%
D 84
 
9.3%
B 73
 
8.0%
T 63
 
6.9%
V 59
 
6.5%
P 40
 
4.4%
F 36
 
4.0%
W 35
 
3.9%
Other values (15) 223
24.6%
Lowercase Letter
ValueCountFrequency (%)
o 11
12.8%
c 9
 
10.5%
t 8
 
9.3%
e 8
 
9.3%
i 7
 
8.1%
l 5
 
5.8%
v 5
 
5.8%
z 3
 
3.5%
r 3
 
3.5%
p 3
 
3.5%
Other values (13) 24
27.9%
Decimal Number
ValueCountFrequency (%)
2 3063
29.5%
1 2558
24.7%
0 2016
19.4%
3 623
 
6.0%
4 416
 
4.0%
5 384
 
3.7%
6 360
 
3.5%
9 343
 
3.3%
8 326
 
3.1%
7 288
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 303
61.8%
. 54
 
11.0%
· 51
 
10.4%
/ 40
 
8.2%
" 32
 
6.5%
: 4
 
0.8%
& 2
 
0.4%
@ 2
 
0.4%
＆ 1
 
0.2%
! 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1746
93.3%
」 47
 
2.5%
] 46
 
2.5%
』 31
 
1.7%
】 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1737
93.2%
「 47
 
2.5%
[ 46
 
2.5%
『 31
 
1.7%
【 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
29886
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Math Symbol
ValueCountFrequency (%)
~ 93
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149223
76.5%
Common 44855
 
23.0%
Latin 995
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 7160
 
4.8%
용 7148
 
4.8%
시 5926
 
4.0%
사 5695
 
3.8%
설 5605
 
3.8%
계 4703
 
3.2%
공 4281
 
2.9%
실 3910
 
2.6%
리 3598
 
2.4%
수 2836
 
1.9%
Other values (691) 98361
65.9%
Latin
ValueCountFrequency (%)
C 112
 
11.3%
I 92
 
9.2%
S 90
 
9.0%
D 84
 
8.4%
B 73
 
7.3%
T 63
 
6.3%
V 59
 
5.9%
P 40
 
4.0%
F 36
 
3.6%
W 35
 
3.5%
Other values (40) 311
31.3%
Common
ValueCountFrequency (%)
29886
66.6%
2 3063
 
6.8%
1 2558
 
5.7%
0 2016
 
4.5%
) 1746
 
3.9%
( 1737
 
3.9%
3 623
 
1.4%
4 416
 
0.9%
5 384
 
0.9%
6 360
 
0.8%
Other values (25) 2066
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149220
76.5%
ASCII 45636
 
23.4%
None 212
 
0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29886
65.5%
2 3063
 
6.7%
1 2558
 
5.6%
0 2016
 
4.4%
) 1746
 
3.8%
( 1737
 
3.8%
3 623
 
1.4%
4 416
 
0.9%
5 384
 
0.8%
6 360
 
0.8%
Other values (65) 2847
 
6.2%
Hangul
ValueCountFrequency (%)
역 7160
 
4.8%
용 7148
 
4.8%
시 5926
 
4.0%
사 5695
 
3.8%
설 5605
 
3.8%
계 4703
 
3.2%
공 4281
 
2.9%
실 3910
 
2.6%
리 3598
 
2.4%
수 2836
 
1.9%
Other values (689) 98358
65.9%
None
ValueCountFrequency (%)
· 51
24.1%
「 47
22.2%
」 47
22.2%
』 31
14.6%
『 31
14.6%
】 2
 
0.9%
【 2
 
0.9%
＆ 1
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅍ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

계약금액
Real number (ℝ)

Distinct3211
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9992086.2
Minimum30000
Maximum1.01 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.4 KiB
2024-01-10T05:44:01.314722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000
5-th percentile1077365
Q12927250
median6216500
Q312304750
95-th percentile19800000
Maximum1.01 × 109
Range1.00997 × 109
Interquartile range (IQR)9377500

Descriptive statistics

Standard deviation24378499
Coefficient of variation (CV)2.4397807
Kurtosis509.67704
Mean9992086.2
Median Absolute Deviation (MAD)3906500
Skewness18.451252
Sum7.8777608 × 1010
Variance5.9431123 × 1014
MonotonicityNot monotonic
2024-01-10T05:44:01.464507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000000 133
 
1.7%
19800000 103
 
1.3%
13500000 45
 
0.6%
6000000 41
 
0.5%
9000000 36
 
0.5%
3000000 31
 
0.4%
10000000 28
 
0.4%
3300000 27
 
0.3%
18900000 27
 
0.3%
3600000 27
 
0.3%
Other values (3201) 7386
93.7%
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%
549500000 1
< 0.1%
474886000 1
< 0.1%
448000000 1
< 0.1%
446729000 1
< 0.1%
428000000 1
< 0.1%
410413000 1
< 0.1%
406400000 1
< 0.1%
386000000 1
< 0.1%
382283000 1
< 0.1%

계약일
Date

Distinct1778
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
Minimum2014-01-01 00:00:00
Maximum2021-09-17 00:00:00
2024-01-10T05:44:01.590079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:01.720785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1237
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
2024-01-10T05:44:01.912956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.3187468
Min length2

Characters and Unicode

Total characters73469
Distinct characters528
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique660 ?
Unique (%)8.4%

Sample

1st row(주)에이디티캡스
2nd row(주)케이쓰리아이
3rd row(주)넥스가이드
4th row영원환경기술
5th row(주)아이디피시스템
ValueCountFrequency (%)
주식회사 1029
 
10.8%
주)대웅엔지니어링 414
 
4.3%
주)천마건설엔지니어링 378
 
4.0%
대림기술공사 354
 
3.7%
해솔이엔지주식회사 344
 
3.6%
주)보경엔지니어링 263
 
2.7%
대륙엔지니어링 240
 
2.5%
삼원환경산업(주 233
 
2.4%
대웅엔지니어링주식회사 228
 
2.4%
주)보령환경산업 222
 
2.3%
Other values (1276) 5864
61.3%
2024-01-10T05:44:02.241279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5561
 
7.6%
사 4395
 
6.0%
( 4080
 
5.6%
) 4080
 
5.6%
지 2765
 
3.8%
엔 2592
 
3.5%
어 1994
 
2.7%
니 1973
 
2.7%
링 1959
 
2.7%
회 1910
 
2.6%
Other values (518) 42160
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63147
86.0%
Open Punctuation 4080
 
5.6%
Close Punctuation 4080
 
5.6%
Space Separator 1685
 
2.3%
Uppercase Letter 400
 
0.5%
Decimal Number 39
 
0.1%
Other Punctuation 18
 
< 0.1%
Lowercase Letter 17
 
< 0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5561
 
8.8%
사 4395
 
7.0%
지 2765
 
4.4%
엔 2592
 
4.1%
어 1994
 
3.2%
니 1973
 
3.1%
링 1959
 
3.1%
회 1910
 
3.0%
대 1857
 
2.9%
식 1786
 
2.8%
Other values (470) 36355
57.6%
Uppercase Letter
ValueCountFrequency (%)
E 90
22.5%
N 77
19.2%
C 76
19.0%
H 33
 
8.2%
A 20
 
5.0%
S 13
 
3.2%
K 11
 
2.8%
G 10
 
2.5%
I 10
 
2.5%
D 9
 
2.2%
Other values (12) 51
12.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
a 2
11.8%
h 2
11.8%
n 2
11.8%
g 2
11.8%
w 1
 
5.9%
s 1
 
5.9%
m 1
 
5.9%
r 1
 
5.9%
f 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 14
35.9%
1 13
33.3%
0 4
 
10.3%
8 3
 
7.7%
6 2
 
5.1%
4 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 17
94.4%
& 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 4080
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4080
100.0%
Space Separator
ValueCountFrequency (%)
1685
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63149
86.0%
Common 9903
 
13.5%
Latin 417
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5561
 
8.8%
사 4395
 
7.0%
지 2765
 
4.4%
엔 2592
 
4.1%
어 1994
 
3.2%
니 1973
 
3.1%
링 1959
 
3.1%
회 1910
 
3.0%
대 1857
 
2.9%
식 1786
 
2.8%
Other values (471) 36357
57.6%
Latin
ValueCountFrequency (%)
E 90
21.6%
N 77
18.5%
C 76
18.2%
H 33
 
7.9%
A 20
 
4.8%
S 13
 
3.1%
K 11
 
2.6%
G 10
 
2.4%
I 10
 
2.4%
D 9
 
2.2%
Other values (23) 68
16.3%
Common
ValueCountFrequency (%)
( 4080
41.2%
) 4080
41.2%
1685
17.0%
. 17
 
0.2%
2 14
 
0.1%
1 13
 
0.1%
0 4
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
& 1
 
< 0.1%
Other values (4) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63147
86.0%
ASCII 10320
 
14.0%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5561
 
8.8%
사 4395
 
7.0%
지 2765
 
4.4%
엔 2592
 
4.1%
어 1994
 
3.2%
니 1973
 
3.1%
링 1959
 
3.1%
회 1910
 
3.0%
대 1857
 
2.9%
식 1786
 
2.8%
Other values (470) 36355
57.6%
ASCII
ValueCountFrequency (%)
( 4080
39.5%
) 4080
39.5%
1685
16.3%
E 90
 
0.9%
N 77
 
0.7%
C 76
 
0.7%
H 33
 
0.3%
A 20
 
0.2%
. 17
 
0.2%
2 14
 
0.1%
Other values (37) 148
 
1.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

Interactions

2024-01-10T05:43:59.388112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:43:59.218104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:43:59.470949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:43:59.305911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:44:02.330750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.2380.000
관서명0.2381.0000.000
계약금액0.0000.0001.000
2024-01-10T05:44:02.412788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.0000.0890.090
계약금액0.0891.0000.000
관서명0.0900.0001.000

Missing values

2024-01-10T05:43:59.585569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:43:59.689872image/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
01본청수의1인견적오천 작은도서관 보안관리 용역비15400002014-01-01(주)에이디티캡스
12본청수의1인견적2014년 안전행정부지원 정보화마을 홈페이지 유지보수 용역80000002014-01-01(주)케이쓰리아이
23본청수의1인견적2014년 성과관리 프로그램(BSC) 유지보수90800002014-01-01(주)넥스가이드
34본청수의1인견적2014년 시청사 및 의회청사 오수처리시설 관리요역66000002014-01-01영원환경기술
45본청수의1인견적2014년 무정전전원장치 유지보수 용역23400002014-01-01(주)아이디피시스템
56본청수의1인견적2014년 패치관리시스템 유지보수 용역21440002014-01-01(주)아이티스테이션
67본청수의1인견적2014년 인터넷방송시스템 유지보수 용역24000002014-01-01(주)위더스텍
78본청수의1인견적2014년 의회청사 전기안전관리대행 용역33600002014-01-01(유)한국전기충남공사
89본청수의1인견적2014년 시청사 전기안전관리대행 용역151200002014-01-01(유)한국전기충남공사
910본청수의1인견적2014년 종합사회복지관 전기안전관리 대행 수수료 지급19140002014-01-01충남전력기술
번호관서명계약방법계약명계약금액계약일계약상대자
78747875원산도출장소수의1인견적원산도-오봉산해수욕장 일원 제초작업19700002021-09-13(사)원산도관광발전협의회
78757876본청수의1인견적재료비 급등에 따른 계약금액 변경 검토용역5300002021-09-14(재)한국산업평가원
78767877본청수의1인견적대천25통(동부아파트) 도시계획도로 개설공사 폐기물처리용역33000002021-09-14충경산업 주식회사
78777878본청수의1인견적대천2동(30,33통) 마을주차장 조성공사 폐기물처리용역148500002021-09-14(주)보령환경산업
78787879본청수의1인견적소양2리(432-1) 배수로 정비공사 폐기물처리용역 시행결의73500002021-09-14충경산업 주식회사
78797880본청수의1인견적보령 전천후 육상훈련장 건립사업 토질조사용역63500002021-09-14주식회사 보경엔지니어링
78807881본청수의1인견적주산206호 아스콘덧씌우기 폐기물처리용역52500002021-09-16(주)보령환경산업
78817882본청수의1인견적주포 · 청소농공단지 공공폐수처리시설 비용부담계획 수립용역180000002021-09-16(재)한국산업관계연구원
78827883본청수의1인견적명천9통 임시주차장 조성공사 실시설계용역99000002021-09-17(주)보경엔지니어링
78837884본청수의1인견적2021년 신흑4통 놀이터 정비공사 실시설계용역22500002021-09-17해솔이엔지주식회사