Overview

Dataset statistics

Number of variables7
Number of observations9084
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory514.7 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 (65.2%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:44:03.088257
Analysis finished2024-01-09 20:44:04.418137
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9084
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4542.5
Minimum1
Maximum9084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size80.0 KiB
2024-01-10T05:44:04.488067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile455.15
Q12271.75
median4542.5
Q36813.25
95-th percentile8629.85
Maximum9084
Range9083
Interquartile range (IQR)4541.5

Descriptive statistics

Standard deviation2622.4693
Coefficient of variation (CV)0.57731849
Kurtosis-1.2
Mean4542.5
Median Absolute Deviation (MAD)2271
Skewness0
Sum41264070
Variance6877345
MonotonicityStrictly increasing
2024-01-10T05:44:04.610552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6061 1
 
< 0.1%
6055 1
 
< 0.1%
6056 1
 
< 0.1%
6057 1
 
< 0.1%
6058 1
 
< 0.1%
6059 1
 
< 0.1%
6060 1
 
< 0.1%
6062 1
 
< 0.1%
6053 1
 
< 0.1%
Other values (9074) 9074
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 (%)
9084 1
< 0.1%
9083 1
< 0.1%
9082 1
< 0.1%
9081 1
< 0.1%
9080 1
< 0.1%
9079 1
< 0.1%
9078 1
< 0.1%
9077 1
< 0.1%
9076 1
< 0.1%
9075 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size71.1 KiB
본청
7259 
보건소
 
249
농업기술센터
 
198
웅천읍
 
156
오천면
 
129
Other values (17)
1093 

Length

Max length9
Median length2
Mean length2.3470938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 7259
79.9%
보건소 249
 
2.7%
농업기술센터 198
 
2.2%
웅천읍 156
 
1.7%
오천면 129
 
1.4%
주산면 114
 
1.3%
주교면 107
 
1.2%
남포면 90
 
1.0%
천북면 83
 
0.9%
청소면 80
 
0.9%
Other values (12) 619
 
6.8%

Length

2024-01-10T05:44:04.740242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 7259
79.9%
보건소 249
 
2.7%
농업기술센터 198
 
2.2%
웅천읍 156
 
1.7%
오천면 129
 
1.4%
주산면 114
 
1.3%
주교면 107
 
1.2%
남포면 90
 
1.0%
천북면 83
 
0.9%
청소면 80
 
0.9%
Other values (12) 619
 
6.8%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size71.1 KiB
수의1인견적
9084 

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 9084
100.0%

Length

2024-01-10T05:44:04.848227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:44:04.927630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 9084
100.0%

계약명
Text

Distinct8808
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size71.1 KiB
2024-01-10T05:44:05.182996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length25.055152
Min length5

Characters and Unicode

Total characters227601
Distinct characters804
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

Unique8580 ?
Unique (%)94.5%

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 3097
 
7.0%
용역 2492
 
5.6%
및 1091
 
2.5%
실시설계 896
 
2.0%
외 538
 
1.2%
정비공사 439
 
1.0%
폐기물처리용역 430
 
1.0%
배수로 310
 
0.7%
설치공사 308
 
0.7%
마을안길 276
 
0.6%
Other values (8886) 34285
77.6%
2024-01-10T05:44:05.626037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35078
 
15.4%
역 8284
 
3.6%
용 8250
 
3.6%
시 6908
 
3.0%
사 6513
 
2.9%
설 6377
 
2.8%
계 5419
 
2.4%
공 4864
 
2.1%
실 4439
 
2.0%
리 4109
 
1.8%
Other values (794) 137360
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173487
76.2%
Space Separator 35078
 
15.4%
Decimal Number 12318
 
5.4%
Close Punctuation 2265
 
1.0%
Open Punctuation 2255
 
1.0%
Uppercase Letter 1065
 
0.5%
Other Punctuation 561
 
0.2%
Dash Punctuation 345
 
0.2%
Lowercase Letter 112
 
< 0.1%
Math Symbol 104
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 8284
 
4.8%
용 8250
 
4.8%
시 6908
 
4.0%
사 6513
 
3.8%
설 6377
 
3.7%
계 5419
 
3.1%
공 4864
 
2.8%
실 4439
 
2.6%
리 4109
 
2.4%
수 3227
 
1.9%
Other values (708) 115097
66.3%
Uppercase Letter
ValueCountFrequency (%)
C 130
12.2%
S 108
10.1%
I 102
 
9.6%
D 94
 
8.8%
B 92
 
8.6%
T 73
 
6.9%
V 69
 
6.5%
F 51
 
4.8%
P 45
 
4.2%
W 38
 
3.6%
Other values (15) 263
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 14
12.5%
c 12
 
10.7%
e 12
 
10.7%
i 8
 
7.1%
t 8
 
7.1%
a 5
 
4.5%
y 5
 
4.5%
l 5
 
4.5%
v 5
 
4.5%
s 4
 
3.6%
Other values (13) 34
30.4%
Other Punctuation
ValueCountFrequency (%)
, 349
62.2%
· 67
 
11.9%
. 58
 
10.3%
/ 40
 
7.1%
" 33
 
5.9%
: 5
 
0.9%
; 2
 
0.4%
& 2
 
0.4%
! 2
 
0.4%
@ 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 4015
32.6%
1 2834
23.0%
0 2340
19.0%
3 736
 
6.0%
4 483
 
3.9%
5 437
 
3.5%
6 408
 
3.3%
9 370
 
3.0%
8 369
 
3.0%
7 326
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 2116
93.4%
] 59
 
2.6%
」 57
 
2.5%
』 31
 
1.4%
】 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2106
93.4%
[ 59
 
2.6%
「 57
 
2.5%
『 31
 
1.4%
【 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
35078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Math Symbol
ValueCountFrequency (%)
~ 104
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173487
76.2%
Common 52935
 
23.3%
Latin 1179
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 8284
 
4.8%
용 8250
 
4.8%
시 6908
 
4.0%
사 6513
 
3.8%
설 6377
 
3.7%
계 5419
 
3.1%
공 4864
 
2.8%
실 4439
 
2.6%
리 4109
 
2.4%
수 3227
 
1.9%
Other values (708) 115097
66.3%
Latin
ValueCountFrequency (%)
C 130
 
11.0%
S 108
 
9.2%
I 102
 
8.7%
D 94
 
8.0%
B 92
 
7.8%
T 73
 
6.2%
V 69
 
5.9%
F 51
 
4.3%
P 45
 
3.8%
W 38
 
3.2%
Other values (40) 377
32.0%
Common
ValueCountFrequency (%)
35078
66.3%
2 4015
 
7.6%
1 2834
 
5.4%
0 2340
 
4.4%
) 2116
 
4.0%
( 2106
 
4.0%
3 736
 
1.4%
4 483
 
0.9%
5 437
 
0.8%
6 408
 
0.8%
Other values (26) 2382
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173484
76.2%
ASCII 53864
 
23.7%
None 248
 
0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35078
65.1%
2 4015
 
7.5%
1 2834
 
5.3%
0 2340
 
4.3%
) 2116
 
3.9%
( 2106
 
3.9%
3 736
 
1.4%
4 483
 
0.9%
5 437
 
0.8%
6 408
 
0.8%
Other values (66) 3311
 
6.1%
Hangul
ValueCountFrequency (%)
역 8284
 
4.8%
용 8250
 
4.8%
시 6908
 
4.0%
사 6513
 
3.8%
설 6377
 
3.7%
계 5419
 
3.1%
공 4864
 
2.8%
실 4439
 
2.6%
리 4109
 
2.4%
수 3227
 
1.9%
Other values (706) 115094
66.3%
None
ValueCountFrequency (%)
· 67
27.0%
」 57
23.0%
「 57
23.0%
』 31
12.5%
『 31
12.5%
】 2
 
0.8%
【 2
 
0.8%
＆ 1
 
0.4%
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)

Distinct3543
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10297909
Minimum30000
Maximum1.01 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size80.0 KiB
2024-01-10T05:44:06.040498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000
5-th percentile1100000
Q13018750
median6450000
Q312900000
95-th percentile19800000
Maximum1.01 × 109
Range1.00997 × 109
Interquartile range (IQR)9881250

Descriptive statistics

Standard deviation25139416
Coefficient of variation (CV)2.4412156
Kurtosis441.70841
Mean10297909
Median Absolute Deviation (MAD)4061000
Skewness17.436708
Sum9.3546204 × 1010
Variance6.3199023 × 1014
MonotonicityNot monotonic
2024-01-10T05:44:06.190839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000000 162
 
1.8%
19800000 153
 
1.7%
13500000 56
 
0.6%
6000000 43
 
0.5%
9000000 40
 
0.4%
3000000 34
 
0.4%
3600000 32
 
0.4%
5000000 29
 
0.3%
18900000 29
 
0.3%
3500000 29
 
0.3%
Other values (3533) 8477
93.3%
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%
474886000 1
< 0.1%
448000000 1
< 0.1%
446729000 1
< 0.1%
428000000 1
< 0.1%
410413000 1
< 0.1%
406400000 1
< 0.1%

계약일
Date

Distinct2022
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size71.1 KiB
Minimum2014-01-01 00:00:00
Maximum2022-09-23 00:00:00
2024-01-10T05:44:06.312485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:06.434553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1420
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size71.1 KiB
2024-01-10T05:44:06.644662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.3567812
Min length2

Characters and Unicode

Total characters84997
Distinct characters554
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

Unique761 ?
Unique (%)8.4%

Sample

1st row(주)에이디티캡스
2nd row(주)케이쓰리아이
3rd row(주)넥스가이드
4th row영원환경기술
5th row(주)아이디피시스템
ValueCountFrequency (%)
주식회사 1362
 
12.2%
주)대웅엔지니어링 420
 
3.8%
주)천마건설엔지니어링 416
 
3.7%
대림기술공사 401
 
3.6%
해솔이엔지주식회사 372
 
3.3%
대웅엔지니어링주식회사 322
 
2.9%
대륙엔지니어링 302
 
2.7%
주)보경엔지니어링 295
 
2.6%
삼원환경산업(주 254
 
2.3%
주)보령환경산업 244
 
2.2%
Other values (1463) 6783
60.7%
2024-01-10T05:44:06.963955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6447
 
7.6%
사 5247
 
6.2%
) 4492
 
5.3%
( 4491
 
5.3%
지 3182
 
3.7%
엔 2960
 
3.5%
회 2441
 
2.9%
어 2302
 
2.7%
식 2286
 
2.7%
니 2274
 
2.7%
Other values (544) 48875
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73381
86.3%
Close Punctuation 4492
 
5.3%
Open Punctuation 4491
 
5.3%
Space Separator 2087
 
2.5%
Uppercase Letter 465
 
0.5%
Decimal Number 42
 
< 0.1%
Other Punctuation 19
 
< 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 6447
 
8.8%
사 5247
 
7.2%
지 3182
 
4.3%
엔 2960
 
4.0%
회 2441
 
3.3%
어 2302
 
3.1%
식 2286
 
3.1%
니 2274
 
3.1%
링 2256
 
3.1%
대 2151
 
2.9%
Other values (495) 41835
57.0%
Uppercase Letter
ValueCountFrequency (%)
E 106
22.8%
N 94
20.2%
C 92
19.8%
H 37
 
8.0%
A 22
 
4.7%
S 14
 
3.0%
G 12
 
2.6%
K 11
 
2.4%
I 10
 
2.2%
M 10
 
2.2%
Other values (12) 57
12.3%
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%
w 1
 
5.9%
s 1
 
5.9%
r 1
 
5.9%
f 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 15
35.7%
2 14
33.3%
0 4
 
9.5%
8 3
 
7.1%
6 2
 
4.8%
9 2
 
4.8%
7 1
 
2.4%
4 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 17
89.5%
＆ 1
 
5.3%
& 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 4492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4491
100.0%
Space Separator
ValueCountFrequency (%)
2087
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73383
86.3%
Common 11132
 
13.1%
Latin 482
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6447
 
8.8%
사 5247
 
7.2%
지 3182
 
4.3%
엔 2960
 
4.0%
회 2441
 
3.3%
어 2302
 
3.1%
식 2286
 
3.1%
니 2274
 
3.1%
링 2256
 
3.1%
대 2151
 
2.9%
Other values (496) 41837
57.0%
Latin
ValueCountFrequency (%)
E 106
22.0%
N 94
19.5%
C 92
19.1%
H 37
 
7.7%
A 22
 
4.6%
S 14
 
2.9%
G 12
 
2.5%
K 11
 
2.3%
I 10
 
2.1%
M 10
 
2.1%
Other values (23) 74
15.4%
Common
ValueCountFrequency (%)
) 4492
40.4%
( 4491
40.3%
2087
18.7%
. 17
 
0.2%
1 15
 
0.1%
2 14
 
0.1%
0 4
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
9 2
 
< 0.1%
Other values (5) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73380
86.3%
ASCII 11613
 
13.7%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6447
 
8.8%
사 5247
 
7.2%
지 3182
 
4.3%
엔 2960
 
4.0%
회 2441
 
3.3%
어 2302
 
3.1%
식 2286
 
3.1%
니 2274
 
3.1%
링 2256
 
3.1%
대 2151
 
2.9%
Other values (494) 41834
57.0%
ASCII
ValueCountFrequency (%)
) 4492
38.7%
( 4491
38.7%
2087
18.0%
E 106
 
0.9%
N 94
 
0.8%
C 92
 
0.8%
H 37
 
0.3%
A 22
 
0.2%
. 17
 
0.1%
1 15
 
0.1%
Other values (37) 160
 
1.4%
None
ValueCountFrequency (%)
㈜ 2
66.7%
＆ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

Interactions

2024-01-10T05:44:04.048352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:03.891819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:04.134561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:03.966017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:44:07.050049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.2210.000
관서명0.2211.0000.085
계약금액0.0000.0851.000
2024-01-10T05:44:07.124818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.0000.1170.083
계약금액0.1171.0000.036
관서명0.0830.0361.000

Missing values

2024-01-10T05:44:04.251657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:44:04.365942image/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
90749075본청수의1인견적2022년 관광안내판 일제정비 실시설계용역33630002022-09-19대웅엔지니어링주식회사
90759076웅천읍수의1인견적소규모 주민숙원사업 실시설계용역_대창4리 용수로 정비공사 외 7건76000002022-09-19해솔이엔지주식회사
90769077주포면수의1인견적주포면 청사(3종시설물) 하반기 정기안전점검 용역11000002022-09-20(주)세움안전진단
90779078주포면수의1인견적2022년 제2회 추경 소규모주민숙원사업 실시설계 용역32000002022-09-20대림기술공사 주식회사
90789079본청수의1인견적웅천일반산업단지 환경보전방안검토 용역171800002022-09-20주식회사 드림이앤디
90799080본청수의1인견적2022년 청소년문화의집 기능보강 실시설계용역94810002022-09-20으뜸건축사사무소
90809081본청수의1인견적오감만족 효자2리 보물섬 특성화사업 3단계 공모신청서 작성용역146070002022-09-20지역개발미라클주식회사
90819082성주면수의1인견적성주3리 도로부지 배수로 공사 외 1건 실시설계용역 시행결의15200002022-09-21대륙엔지니어링 주식회사
90829083본청수의1인견적2022년 명품 가로숲 관리사업 실시설계용역72090002022-09-23주식회사 산림기술사사무소임원
90839084본청수의1인견적대천2리(소1-7, 소2-44)도시계획도로 및 2개노선보완 실시설계용역196200002022-09-23(주)대웅엔지니어링