Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells39
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 공사를 계약한 정보(관서명, 계약방법 ,계약명, 계약금액, 계약일, 계약상대자)에 관한 현황입니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15090070/fileData.do

Alerts

계약금액 is highly skewed (γ1 = 24.85809089)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:47:46.518777
Analysis finished2024-03-14 23:47:49.781959
Duration3.26 seconds
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%
Mean9587.2894
Minimum1
Maximum19109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T08:47:50.066557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile987.85
Q14790.75
median9579.5
Q314385.5
95-th percentile18191.1
Maximum19109
Range19108
Interquartile range (IQR)9594.75

Descriptive statistics

Standard deviation5517.8894
Coefficient of variation (CV)0.57554217
Kurtosis-1.2004559
Mean9587.2894
Median Absolute Deviation (MAD)4795
Skewness-0.0018777446
Sum95872894
Variance30447103
MonotonicityNot monotonic
2024-03-15T08:47:50.625403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18570 1
 
< 0.1%
6896 1
 
< 0.1%
11160 1
 
< 0.1%
9870 1
 
< 0.1%
2373 1
 
< 0.1%
221 1
 
< 0.1%
5334 1
 
< 0.1%
9346 1
 
< 0.1%
4381 1
 
< 0.1%
2828 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
19109 1
< 0.1%
19108 1
< 0.1%
19106 1
< 0.1%
19104 1
< 0.1%
19103 1
< 0.1%
19101 1
< 0.1%
19100 1
< 0.1%
19099 1
< 0.1%
19096 1
< 0.1%
19095 1
< 0.1%

관서명
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
4899 
웅천읍
512 
천북면
 
439
주교면
 
422
주산면
 
406
Other values (18)
3322 

Length

Max length9
Median length6
Mean length2.6797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row웅천읍
2nd row농업기술센터
3rd row본청
4th row미산면
5th row주산면

Common Values

ValueCountFrequency (%)
본청 4899
49.0%
웅천읍 512
 
5.1%
천북면 439
 
4.4%
주교면 422
 
4.2%
주산면 406
 
4.1%
청소면 381
 
3.8%
청라면 378
 
3.8%
남포면 350
 
3.5%
오천면 345
 
3.5%
미산면 331
 
3.3%
Other values (13) 1537
 
15.4%

Length

2024-03-15T08:47:51.198737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 4899
49.0%
웅천읍 512
 
5.1%
천북면 439
 
4.4%
주교면 422
 
4.2%
주산면 406
 
4.1%
청소면 381
 
3.8%
청라면 378
 
3.8%
남포면 350
 
3.5%
오천면 345
 
3.5%
미산면 331
 
3.3%
Other values (13) 1537
 
15.4%

계약방법
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
7337 
수의2인이상견적
2133 
제한경쟁
 
440
일반경쟁
 
90

Length

Max length8
Median length6
Mean length6.3206
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 7337
73.4%
수의2인이상견적 2133
 
21.3%
제한경쟁 440
 
4.4%
일반경쟁 90
 
0.9%

Length

2024-03-15T08:47:51.760132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:47:52.179372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 7337
73.4%
수의2인이상견적 2133
 
21.3%
제한경쟁 440
 
4.4%
일반경쟁 90
 
0.9%

계약명
Text

Distinct9488
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T08:47:53.715132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length18.387
Min length6

Characters and Unicode

Total characters183870
Distinct characters711
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

Unique9133 ?
Unique (%)91.3%

Sample

1st row평리천 제방복구공사 시행 결의
2nd row학교급식지원센터 입고전실 등 바닥보강 공사
3rd row대창4리 마을주차장 포장공사
4th row삼계리 소삼 옹벽설치 공사비
5th row동오1리(364-17) 배수로 정비공사
ValueCountFrequency (%)
배수로 1524
 
4.2%
정비공사 1472
 
4.1%
설치공사 914
 
2.5%
공사 909
 
2.5%
및 874
 
2.4%
마을안길 783
 
2.2%
시행결의 587
 
1.6%
보수공사 513
 
1.4%
포장공사 479
 
1.3%
설치 277
 
0.8%
Other values (8057) 27602
76.8%
2024-03-15T08:47:55.478789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25934
 
14.1%
사 10616
 
5.8%
공 9379
 
5.1%
리 4998
 
2.7%
수 4550
 
2.5%
로 3872
 
2.1%
정 3318
 
1.8%
) 3295
 
1.8%
( 3288
 
1.8%
장 3163
 
1.7%
Other values (701) 111457
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138199
75.2%
Space Separator 25934
 
14.1%
Decimal Number 11219
 
6.1%
Close Punctuation 3487
 
1.9%
Open Punctuation 3480
 
1.9%
Dash Punctuation 719
 
0.4%
Uppercase Letter 431
 
0.2%
Other Punctuation 270
 
0.1%
Math Symbol 63
 
< 0.1%
Connector Punctuation 33
 
< 0.1%
Other values (2) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10616
 
7.7%
공 9379
 
6.8%
리 4998
 
3.6%
수 4550
 
3.3%
로 3872
 
2.8%
정 3318
 
2.4%
장 3163
 
2.3%
설 2965
 
2.1%
비 2605
 
1.9%
보 2445
 
1.8%
Other values (635) 90288
65.3%
Uppercase Letter
ValueCountFrequency (%)
C 107
24.8%
E 53
12.3%
V 53
12.3%
T 52
12.1%
L 50
11.6%
D 49
11.4%
I 12
 
2.8%
A 11
 
2.6%
P 11
 
2.6%
S 9
 
2.1%
Other values (10) 24
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
c 5
17.9%
i 4
14.3%
z 4
14.3%
p 4
14.3%
e 3
10.7%
v 2
 
7.1%
t 2
 
7.1%
o 1
 
3.6%
s 1
 
3.6%
y 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 3082
27.5%
1 3009
26.8%
3 1278
11.4%
0 970
 
8.6%
4 698
 
6.2%
5 533
 
4.8%
6 467
 
4.2%
8 437
 
3.9%
7 377
 
3.4%
9 368
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 169
62.6%
· 39
 
14.4%
. 33
 
12.2%
/ 14
 
5.2%
" 6
 
2.2%
; 4
 
1.5%
@ 3
 
1.1%
: 1
 
0.4%
＠ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 3295
94.5%
] 182
 
5.2%
」 9
 
0.3%
』 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3288
94.5%
[ 182
 
5.2%
「 9
 
0.3%
『 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 61
96.8%
+ 2
 
3.2%
Space Separator
ValueCountFrequency (%)
25934
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 719
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138199
75.2%
Common 45205
 
24.6%
Latin 466
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 10616
 
7.7%
공 9379
 
6.8%
리 4998
 
3.6%
수 4550
 
3.3%
로 3872
 
2.8%
정 3318
 
2.4%
장 3163
 
2.3%
설 2965
 
2.1%
비 2605
 
1.9%
보 2445
 
1.8%
Other values (635) 90288
65.3%
Latin
ValueCountFrequency (%)
C 107
23.0%
E 53
11.4%
V 53
11.4%
T 52
11.2%
L 50
10.7%
D 49
10.5%
I 12
 
2.6%
A 11
 
2.4%
P 11
 
2.4%
S 9
 
1.9%
Other values (24) 59
12.7%
Common
ValueCountFrequency (%)
25934
57.4%
) 3295
 
7.3%
( 3288
 
7.3%
2 3082
 
6.8%
1 3009
 
6.7%
3 1278
 
2.8%
0 970
 
2.1%
- 719
 
1.6%
4 698
 
1.5%
5 533
 
1.2%
Other values (22) 2399
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138197
75.2%
ASCII 45604
 
24.8%
None 60
 
< 0.1%
Number Forms 7
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25934
56.9%
) 3295
 
7.2%
( 3288
 
7.2%
2 3082
 
6.8%
1 3009
 
6.6%
3 1278
 
2.8%
0 970
 
2.1%
- 719
 
1.6%
4 698
 
1.5%
5 533
 
1.2%
Other values (47) 2798
 
6.1%
Hangul
ValueCountFrequency (%)
사 10616
 
7.7%
공 9379
 
6.8%
리 4998
 
3.6%
수 4550
 
3.3%
로 3872
 
2.8%
정 3318
 
2.4%
장 3163
 
2.3%
설 2965
 
2.1%
비 2605
 
1.9%
보 2445
 
1.8%
Other values (634) 90286
65.3%
None
ValueCountFrequency (%)
· 39
65.0%
」 9
 
15.0%
「 9
 
15.0%
『 1
 
1.7%
』 1
 
1.7%
＠ 1
 
1.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct6898
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45820790
Minimum110000
Maximum1.12404 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T08:47:55.907358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110000
5-th percentile1900000
Q15387250
median11850000
Q324002500
95-th percentile1.3901749 × 108
Maximum1.12404 × 1010
Range1.124029 × 1010
Interquartile range (IQR)18615250

Descriptive statistics

Standard deviation2.5848159 × 108
Coefficient of variation (CV)5.6411421
Kurtosis826.02115
Mean45820790
Median Absolute Deviation (MAD)7350000
Skewness24.858091
Sum4.582079 × 1011
Variance6.681273 × 1016
MonotonicityNot monotonic
2024-03-15T08:47:56.359590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4750000 60
 
0.6%
7600000 45
 
0.4%
9500000 43
 
0.4%
2850000 39
 
0.4%
3800000 33
 
0.3%
9300000 31
 
0.3%
4700000 29
 
0.3%
9000000 28
 
0.3%
18000000 28
 
0.3%
3000000 28
 
0.3%
Other values (6888) 9636
96.4%
ValueCountFrequency (%)
110000 1
 
< 0.1%
165000 1
 
< 0.1%
250000 1
 
< 0.1%
280000 1
 
< 0.1%
299880 1
 
< 0.1%
300000 3
< 0.1%
330000 3
< 0.1%
396000 1
 
< 0.1%
400000 1
 
< 0.1%
422400 1
 
< 0.1%
ValueCountFrequency (%)
11240400000 1
< 0.1%
10053717000 1
< 0.1%
8627360420 1
< 0.1%
6022403600 1
< 0.1%
5716584000 1
< 0.1%
5376834740 1
< 0.1%
5263478000 1
< 0.1%
4944500000 1
< 0.1%
4844101000 1
< 0.1%
4343745000 1
< 0.1%

계약일
Date

Distinct2264
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-13 00:00:00
Maximum2024-01-26 00:00:00
2024-03-15T08:47:56.770796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:47:57.344527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1510
Distinct (%)15.2%
Missing39
Missing (%)0.4%
Memory size156.2 KiB
2024-03-15T08:47:58.217987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.4868989
Min length1

Characters and Unicode

Total characters74577
Distinct characters377
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique699 ?
Unique (%)7.0%

Sample

1st row천하건기
2nd row유한회사 한진
3rd row(주)태승건설
4th row(주)럭키건설
5th row우리토건(주)
ValueCountFrequency (%)
주식회사 1825
 
15.3%
유)네오건설 158
 
1.3%
신천건설(주 156
 
1.3%
주)씨제이 152
 
1.3%
우리토건(주 150
 
1.3%
주)럭키건설 141
 
1.2%
대한건설(주 123
 
1.0%
보령시산림조합 107
 
0.9%
주)천마건설엔지니어링 104
 
0.9%
에스에이치건설 102
 
0.9%
Other values (1473) 8874
74.6%
2024-03-15T08:47:59.331947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8162
 
10.9%
( 5889
 
7.9%
) 5877
 
7.9%
건 5149
 
6.9%
설 4627
 
6.2%
사 2681
 
3.6%
회 2490
 
3.3%
식 2425
 
3.3%
1931
 
2.6%
산 1757
 
2.4%
Other values (367) 33589
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60814
81.5%
Open Punctuation 5889
 
7.9%
Close Punctuation 5877
 
7.9%
Space Separator 1931
 
2.6%
Other Punctuation 36
 
< 0.1%
Uppercase Letter 13
 
< 0.1%
Decimal Number 10
 
< 0.1%
Other Symbol 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8162
 
13.4%
건 5149
 
8.5%
설 4627
 
7.6%
사 2681
 
4.4%
회 2490
 
4.1%
식 2425
 
4.0%
산 1757
 
2.9%
업 1250
 
2.1%
보 1206
 
2.0%
이 1150
 
1.9%
Other values (342) 29917
49.2%
Uppercase Letter
ValueCountFrequency (%)
N 3
23.1%
S 2
15.4%
B 1
 
7.7%
C 1
 
7.7%
H 1
 
7.7%
M 1
 
7.7%
R 1
 
7.7%
W 1
 
7.7%
A 1
 
7.7%
E 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
8 3
30.0%
3 2
20.0%
1 2
20.0%
9 1
 
10.0%
5 1
 
10.0%
2 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 30
83.3%
# 2
 
5.6%
@ 2
 
5.6%
! 2
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 5889
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5877
100.0%
Space Separator
ValueCountFrequency (%)
1931
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60820
81.6%
Common 13744
 
18.4%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8162
 
13.4%
건 5149
 
8.5%
설 4627
 
7.6%
사 2681
 
4.4%
회 2490
 
4.1%
식 2425
 
4.0%
산 1757
 
2.9%
업 1250
 
2.1%
보 1206
 
2.0%
이 1150
 
1.9%
Other values (343) 29923
49.2%
Common
ValueCountFrequency (%)
( 5889
42.8%
) 5877
42.8%
1931
 
14.0%
. 30
 
0.2%
8 3
 
< 0.1%
# 2
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
@ 2
 
< 0.1%
! 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
Latin
ValueCountFrequency (%)
N 3
23.1%
S 2
15.4%
B 1
 
7.7%
C 1
 
7.7%
H 1
 
7.7%
M 1
 
7.7%
R 1
 
7.7%
W 1
 
7.7%
A 1
 
7.7%
E 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60811
81.5%
ASCII 13757
 
18.4%
None 6
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8162
 
13.4%
건 5149
 
8.5%
설 4627
 
7.6%
사 2681
 
4.4%
회 2490
 
4.1%
식 2425
 
4.0%
산 1757
 
2.9%
업 1250
 
2.1%
보 1206
 
2.0%
이 1150
 
1.9%
Other values (339) 29914
49.2%
ASCII
ValueCountFrequency (%)
( 5889
42.8%
) 5877
42.7%
1931
 
14.0%
. 30
 
0.2%
8 3
 
< 0.1%
N 3
 
< 0.1%
# 2
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
@ 2
 
< 0.1%
Other values (14) 16
 
0.1%
None
ValueCountFrequency (%)
㈜ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
33.3%
ㅓ 1
33.3%
ㅅ 1
33.3%

Interactions

2024-03-15T08:47:48.517261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:47:47.854768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:47:48.843915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:47:48.145314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:47:59.674078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약방법계약금액
번호1.0000.2210.1230.000
관서명0.2211.0000.5630.000
계약방법0.1230.5631.0000.296
계약금액0.0000.0000.2961.000
2024-03-15T08:47:59.843272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관서명계약방법
관서명1.0000.335
계약방법0.3351.000
2024-03-15T08:47:59.983384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명계약방법
번호1.0000.0460.0830.074
계약금액0.0461.0000.0000.193
관서명0.0830.0001.0000.335
계약방법0.0740.1930.3351.000

Missing values

2024-03-15T08:47:49.129682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:47:49.684737image/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
1856918570웅천읍수의1인견적평리천 제방복구공사 시행 결의34920002023-10-05천하건기
1010810109농업기술센터수의1인견적학교급식지원센터 입고전실 등 바닥보강 공사146800002019-08-12유한회사 한진
49654966본청수의1인견적대창4리 마을주차장 포장공사120510002017-03-06(주)태승건설
13211322미산면수의1인견적삼계리 소삼 옹벽설치 공사비91900002014-11-11(주)럭키건설
1718217183주산면수의1인견적동오1리(364-17) 배수로 정비공사94900002023-02-28우리토건(주)
1330913310성주면수의1인견적성주5리 배수로 설치공사86310002021-04-16대건건설 주식회사
72777278본청수의2인이상견적2018년 보령무궁화수목원 경관 개선사업1699130002018-04-02대운건설(주)
1254612547본청일반경쟁연지리 농로 개설공사 시행결의262860002020-12-20영진건설(주)
1658516586청라면수의1인견적의평3리 배수로 복개공사(수정)163520002022-11-08보령토건(주)
1436814369대천5동수의1인견적청사 조명교체 및 전기차충전기 이설공사33110002021-12-07주식회사 금강이엔지
번호관서명계약방법계약명계약금액계약일계약상대자
99849985남포면수의1인견적제석1리 아스콘덧씌우기공사52500002019-06-24(주)도화
84668467천북면수의1인견적천북면 궁포리 임시 양수시설 설치사업56100002018-11-12성지중기
73947395청라면수의1인견적내현1리(원자울) 마을안길 정비공사47490002018-04-16(주)동진건설
41664167본청수의2인이상견적천광로 가로수 정비사업239777602016-08-11(주)거산조경
1184111842오천면수의1인견적오천면 농로포장공사129100002020-06-01신천건설(주)
28522853본청수의2인이상견적시가지 감나무 가로수 정비 사업392002602015-11-19(주)산석조경
926927본청수의1인견적국가지점번호판 제작 및 설치사업193500002014-06-02해오름주식회사
1621416215본청수의1인견적충청수영성 임시주차장 보수19400002022-09-14대덕산업개발 주식회사
78497850본청수의2인이상견적시도21호(대농리) 아스콘덧씌우기공사(도급)270080002018-06-25경부포장산업(주)
1812518126본청수의1인견적중로1-3호(한성필하우스) 도로선형개량공사(전기)301400002023-06-14한주전기공사