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 = 24.48772902)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:39:24.615258
Analysis finished2024-01-09 20:39:26.222565
Duration1.61 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%
Mean8102.6843
Minimum1
Maximum16212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:26.304682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile808.95
Q14042.75
median8085
Q312193.5
95-th percentile15376.05
Maximum16212
Range16211
Interquartile range (IQR)8150.75

Descriptive statistics

Standard deviation4677.6512
Coefficient of variation (CV)0.57729649
Kurtosis-1.2064124
Mean8102.6843
Median Absolute Deviation (MAD)4072
Skewness-0.0014748849
Sum81026843
Variance21880421
MonotonicityNot monotonic
2024-01-10T05:39:26.454861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7590 1
 
< 0.1%
10105 1
 
< 0.1%
3896 1
 
< 0.1%
7567 1
 
< 0.1%
13599 1
 
< 0.1%
15071 1
 
< 0.1%
15182 1
 
< 0.1%
1257 1
 
< 0.1%
8928 1
 
< 0.1%
2226 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
26 1
< 0.1%
ValueCountFrequency (%)
16212 1
< 0.1%
16210 1
< 0.1%
16209 1
< 0.1%
16208 1
< 0.1%
16207 1
< 0.1%
16206 1
< 0.1%
16204 1
< 0.1%
16203 1
< 0.1%
16202 1
< 0.1%
16201 1
< 0.1%

관서명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
4945 
웅천읍
 
462
주교면
 
445
천북면
 
443
주산면
 
391
Other values (17)
3314 

Length

Max length9
Median length6
Mean length2.6797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 4945
49.5%
웅천읍 462
 
4.6%
주교면 445
 
4.5%
천북면 443
 
4.4%
주산면 391
 
3.9%
청라면 388
 
3.9%
청소면 380
 
3.8%
남포면 351
 
3.5%
오천면 336
 
3.4%
미산면 319
 
3.2%
Other values (12) 1540
 
15.4%

Length

2024-01-10T05:39:26.615490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 4945
49.5%
웅천읍 462
 
4.6%
주교면 445
 
4.5%
천북면 443
 
4.4%
주산면 391
 
3.9%
청라면 388
 
3.9%
청소면 380
 
3.8%
남포면 351
 
3.5%
오천면 336
 
3.4%
미산면 319
 
3.2%
Other values (12) 1540
 
15.4%

계약방법
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
7368 
수의2인이상견적
2055 
제한경쟁
 
484
일반경쟁
 
93

Length

Max length8
Median length6
Mean length6.2956
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수의2인이상견적
2nd row수의2인이상견적
3rd row제한경쟁
4th row수의1인견적
5th row수의2인이상견적

Common Values

ValueCountFrequency (%)
수의1인견적 7368
73.7%
수의2인이상견적 2055
 
20.5%
제한경쟁 484
 
4.8%
일반경쟁 93
 
0.9%

Length

2024-01-10T05:39:26.775267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:26.904501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 7368
73.7%
수의2인이상견적 2055
 
20.5%
제한경쟁 484
 
4.8%
일반경쟁 93
 
0.9%

계약명
Text

Distinct9410
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:27.255498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length18.0062
Min length7

Characters and Unicode

Total characters180062
Distinct characters703
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

Unique8996 ?
Unique (%)90.0%

Sample

1st row대천체육관 정비공사(2차)
2nd row2016년 성주산자연휴양림조성 보완사업(전기)
3rd row도만호 김성우장군 묘 재실건립공사(건축)
4th row낙동5리 소형관정 개발
5th row2022년 녹지대 수목 관리사업
ValueCountFrequency (%)
정비공사 1455
 
4.1%
배수로 1414
 
4.0%
공사 916
 
2.6%
및 884
 
2.5%
설치공사 873
 
2.5%
마을안길 827
 
2.3%
보수공사 491
 
1.4%
포장공사 476
 
1.3%
시행결의 429
 
1.2%
설치 256
 
0.7%
Other values (7652) 27505
77.4%
2024-01-10T05:39:27.736326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25526
 
14.2%
사 10687
 
5.9%
공 9378
 
5.2%
리 4897
 
2.7%
수 4567
 
2.5%
로 3801
 
2.1%
장 3247
 
1.8%
정 3128
 
1.7%
설 2940
 
1.6%
2 2852
 
1.6%
Other values (693) 109039
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137546
76.4%
Space Separator 25526
 
14.2%
Decimal Number 9740
 
5.4%
Close Punctuation 2975
 
1.7%
Open Punctuation 2968
 
1.6%
Uppercase Letter 484
 
0.3%
Dash Punctuation 466
 
0.3%
Other Punctuation 245
 
0.1%
Math Symbol 63
 
< 0.1%
Lowercase Letter 23
 
< 0.1%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10687
 
7.8%
공 9378
 
6.8%
리 4897
 
3.6%
수 4567
 
3.3%
로 3801
 
2.8%
장 3247
 
2.4%
정 3128
 
2.3%
설 2940
 
2.1%
비 2588
 
1.9%
보 2464
 
1.8%
Other values (629) 89849
65.3%
Uppercase Letter
ValueCountFrequency (%)
C 125
25.8%
T 63
13.0%
V 62
12.8%
L 59
12.2%
E 57
11.8%
D 57
11.8%
P 11
 
2.3%
I 10
 
2.1%
S 9
 
1.9%
A 8
 
1.7%
Other values (9) 23
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 2852
29.3%
1 2756
28.3%
3 1045
 
10.7%
0 895
 
9.2%
4 547
 
5.6%
5 411
 
4.2%
6 373
 
3.8%
7 303
 
3.1%
8 300
 
3.1%
9 258
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
c 7
30.4%
t 3
13.0%
v 3
13.0%
p 2
 
8.7%
i 2
 
8.7%
z 2
 
8.7%
y 1
 
4.3%
a 1
 
4.3%
o 1
 
4.3%
s 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 147
60.0%
· 39
 
15.9%
. 33
 
13.5%
" 10
 
4.1%
/ 8
 
3.3%
* 3
 
1.2%
; 3
 
1.2%
＠ 1
 
0.4%
@ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 2840
95.5%
] 128
 
4.3%
」 6
 
0.2%
』 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2833
95.5%
[ 128
 
4.3%
「 6
 
0.2%
『 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
37.5%
Ⅱ 3
37.5%
Ⅲ 2
25.0%
Math Symbol
ValueCountFrequency (%)
~ 62
98.4%
+ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
25526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137546
76.4%
Common 42001
 
23.3%
Latin 515
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 10687
 
7.8%
공 9378
 
6.8%
리 4897
 
3.6%
수 4567
 
3.3%
로 3801
 
2.8%
장 3247
 
2.4%
정 3128
 
2.3%
설 2940
 
2.1%
비 2588
 
1.9%
보 2464
 
1.8%
Other values (629) 89849
65.3%
Common
ValueCountFrequency (%)
25526
60.8%
2 2852
 
6.8%
) 2840
 
6.8%
( 2833
 
6.7%
1 2756
 
6.6%
3 1045
 
2.5%
0 895
 
2.1%
4 547
 
1.3%
- 466
 
1.1%
5 411
 
1.0%
Other values (22) 1830
 
4.4%
Latin
ValueCountFrequency (%)
C 125
24.3%
T 63
12.2%
V 62
12.0%
L 59
11.5%
E 57
11.1%
D 57
11.1%
P 11
 
2.1%
I 10
 
1.9%
S 9
 
1.7%
A 8
 
1.6%
Other values (22) 54
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137542
76.4%
ASCII 42454
 
23.6%
None 54
 
< 0.1%
Number Forms 8
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25526
60.1%
2 2852
 
6.7%
) 2840
 
6.7%
( 2833
 
6.7%
1 2756
 
6.5%
3 1045
 
2.5%
0 895
 
2.1%
4 547
 
1.3%
- 466
 
1.1%
5 411
 
1.0%
Other values (45) 2283
 
5.4%
Hangul
ValueCountFrequency (%)
사 10687
 
7.8%
공 9378
 
6.8%
리 4897
 
3.6%
수 4567
 
3.3%
로 3801
 
2.8%
장 3247
 
2.4%
정 3128
 
2.3%
설 2940
 
2.1%
비 2588
 
1.9%
보 2464
 
1.8%
Other values (628) 89845
65.3%
None
ValueCountFrequency (%)
· 39
72.2%
」 6
 
11.1%
「 6
 
11.1%
』 1
 
1.9%
『 1
 
1.9%
＠ 1
 
1.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
37.5%
Ⅱ 3
37.5%
Ⅲ 2
25.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct6842
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46928471
Minimum110000
Maximum1.12404 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:39:27.878831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110000
5-th percentile1850000
Q15400000
median11608110
Q324104662
95-th percentile1.4322255 × 108
Maximum1.12404 × 1010
Range1.124029 × 1010
Interquartile range (IQR)18704662

Descriptive statistics

Standard deviation2.6520179 × 108
Coefficient of variation (CV)5.6511918
Kurtosis800.07029
Mean46928471
Median Absolute Deviation (MAD)7208110
Skewness24.487729
Sum4.6928471 × 1011
Variance7.0331989 × 1016
MonotonicityNot monotonic
2024-01-10T05:39:28.017040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4750000 76
 
0.8%
9500000 48
 
0.5%
2850000 42
 
0.4%
7600000 36
 
0.4%
9300000 33
 
0.3%
18000000 33
 
0.3%
9000000 32
 
0.3%
4400000 32
 
0.3%
5700000 29
 
0.3%
3800000 29
 
0.3%
Other values (6832) 9610
96.1%
ValueCountFrequency (%)
110000 1
 
< 0.1%
159000 1
 
< 0.1%
165000 1
 
< 0.1%
250000 1
 
< 0.1%
270000 1
 
< 0.1%
280000 1
 
< 0.1%
296290 1
 
< 0.1%
300000 1
 
< 0.1%
330000 3
< 0.1%
378010 1
 
< 0.1%
ValueCountFrequency (%)
11240400000 1
< 0.1%
9816380000 1
< 0.1%
9179100000 1
< 0.1%
8063556000 1
< 0.1%
5376834740 1
< 0.1%
5263478000 1
< 0.1%
4944500000 1
< 0.1%
4418377570 1
< 0.1%
4343745000 1
< 0.1%
4068187400 1
< 0.1%

계약일
Date

Distinct2013
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-13 00:00:00
Maximum2022-09-23 00:00:00
2024-01-10T05:39:28.141639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:28.272520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1508
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:39:28.479711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length7.4048
Min length1

Characters and Unicode

Total characters74048
Distinct characters378
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)7.3%

Sample

1st row신용건설
2nd row비엔씨주식회사
3rd row주식회사대덕
4th row주교신일지하수
5th row주식회사 호암조경
ValueCountFrequency (%)
주식회사 1545
 
13.3%
신천건설(주 166
 
1.4%
유)네오건설 155
 
1.3%
우리토건(주 154
 
1.3%
주)씨제이 147
 
1.3%
보령시산림조합 139
 
1.2%
주)럭키건설 137
 
1.2%
에스에이치건설 126
 
1.1%
대한건설(주 125
 
1.1%
주)거산 121
 
1.0%
Other values (1480) 8842
75.9%
2024-01-10T05:39:28.809284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8034
 
10.8%
( 6129
 
8.3%
) 6113
 
8.3%
건 5123
 
6.9%
설 4601
 
6.2%
사 2353
 
3.2%
회 2151
 
2.9%
식 2094
 
2.8%
산 1831
 
2.5%
1657
 
2.2%
Other values (368) 33962
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60089
81.1%
Open Punctuation 6129
 
8.3%
Close Punctuation 6113
 
8.3%
Space Separator 1657
 
2.2%
Other Punctuation 32
 
< 0.1%
Uppercase Letter 23
 
< 0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8034
 
13.4%
건 5123
 
8.5%
설 4601
 
7.7%
사 2353
 
3.9%
회 2151
 
3.6%
식 2094
 
3.5%
산 1831
 
3.0%
업 1262
 
2.1%
보 1229
 
2.0%
이 1109
 
1.8%
Other values (351) 30302
50.4%
Uppercase Letter
ValueCountFrequency (%)
N 6
26.1%
E 5
21.7%
C 4
17.4%
S 2
 
8.7%
H 1
 
4.3%
M 1
 
4.3%
G 1
 
4.3%
V 1
 
4.3%
T 1
 
4.3%
B 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 30
93.8%
, 2
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 6129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6113
100.0%
Space Separator
ValueCountFrequency (%)
1657
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60093
81.2%
Common 13932
 
18.8%
Latin 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8034
 
13.4%
건 5123
 
8.5%
설 4601
 
7.7%
사 2353
 
3.9%
회 2151
 
3.6%
식 2094
 
3.5%
산 1831
 
3.0%
업 1262
 
2.1%
보 1229
 
2.0%
이 1109
 
1.8%
Other values (352) 30306
50.4%
Latin
ValueCountFrequency (%)
N 6
26.1%
E 5
21.7%
C 4
17.4%
S 2
 
8.7%
H 1
 
4.3%
M 1
 
4.3%
G 1
 
4.3%
V 1
 
4.3%
T 1
 
4.3%
B 1
 
4.3%
Common
ValueCountFrequency (%)
( 6129
44.0%
) 6113
43.9%
1657
 
11.9%
. 30
 
0.2%
, 2
 
< 0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60086
81.1%
ASCII 13955
 
18.8%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8034
 
13.4%
건 5123
 
8.5%
설 4601
 
7.7%
사 2353
 
3.9%
회 2151
 
3.6%
식 2094
 
3.5%
산 1831
 
3.0%
업 1262
 
2.1%
보 1229
 
2.0%
이 1109
 
1.8%
Other values (348) 30299
50.4%
ASCII
ValueCountFrequency (%)
( 6129
43.9%
) 6113
43.8%
1657
 
11.9%
. 30
 
0.2%
N 6
 
< 0.1%
E 5
 
< 0.1%
C 4
 
< 0.1%
S 2
 
< 0.1%
, 2
 
< 0.1%
H 1
 
< 0.1%
Other values (6) 6
 
< 0.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
33.3%
ㅓ 1
33.3%
ㅅ 1
33.3%

Interactions

2024-01-10T05:39:25.615555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:25.423634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:25.716185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:25.523430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:39:28.896406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약방법계약금액
번호1.0000.2070.1230.000
관서명0.2071.0000.5410.000
계약방법0.1230.5411.0000.420
계약금액0.0000.0000.4201.000
2024-01-10T05:39:28.984098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법관서명
계약방법1.0000.318
관서명0.3181.000
2024-01-10T05:39:29.068832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명계약방법
번호1.0000.0410.0780.074
계약금액0.0411.0000.0000.198
관서명0.0780.0001.0000.318
계약방법0.0740.1980.3181.000

Missing values

2024-01-10T05:39:26.041048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:39:26.151193image/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
75897590본청수의2인이상견적대천체육관 정비공사(2차)709269702018-05-16신용건설
36083609본청수의2인이상견적2016년 성주산자연휴양림조성 보완사업(전기)549478202016-04-25비엔씨주식회사
1418614187본청제한경쟁도만호 김성우장군 묘 재실건립공사(건축)5266250002021-11-01주식회사대덕
31873188천북면수의1인견적낙동5리 소형관정 개발69900002016-03-08주교신일지하수
1501215013본청수의2인이상견적2022년 녹지대 수목 관리사업354210002022-03-16주식회사 호암조경
1351213513청라면수의1인견적향천2리 용수로(석축)보수 공사46700002021-05-17보령건설중기(주)
1031410315대천4동수의1인견적「궁촌2통 그레이팅 및 아스콘 침하 보수」공사17500002019-10-08(주)거산
1402414025본청수의2인이상견적주산206호 아스콘덧씌우기공사310570002021-09-16(주)성일종합건설
1097510976본청수의1인견적2020년 사방댐사업(풍계지구)1610200002020-02-25보령시산림조합
1584915850본청수의2인이상견적오포3리 아스콘덧씌우기 및 가드레일설치공사226740002022-06-21(주)도화
번호관서명계약방법계약명계약금액계약일계약상대자
1169211693본청수의1인견적2020년 향토숲 정비사업90000002020-05-15(주)득산조경
1365813659주포면수의1인견적보령2리 마을안길 포장공사50000002021-06-04(주)유일종합건설
20602061본청수의1인견적녹도 도서식수원 개발공사107200002015-04-13한주전기공사
238239남포면수의1인견적제석1리 농로포장 및 배수로 정비 공사57100002014-03-06태민건설
90029003주교면수의1인견적관창3리(865-9) 농로 포장공사98870002019-03-08(주)럭키건설
1270012701본청수의1인견적요암·웅천석재농공단지 기반시설 유지보수공사34000002021-02-18조우건설(주)
1038110382본청수의1인견적대천동(의평아파트 입구) 공영주차장 조성공사 지정폐기물 해체공사118260002019-10-17(주)이코
68706871본청수의1인견적한내뜰 용배수로 정비공사(도급)193940002018-02-28주식회사 다온
84968497본청수의2인이상견적관당1리 배수로 정비공사293150002018-11-15(주)영보산업
165166본청수의1인견적옥마산등산로 개설 및 환경정비사업1503119802014-02-28보령시산림조합