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

Description예산군에서 계약체결한 계약건(물품,용역,공사 등)에 대한 현황 : 계약일자, 계약금액, 계약업체 , 계약관서 등
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=380&beforeMenuCd=DOM_000000201001001000&publicdatapk=15062563

Alerts

계약금액 is highly skewed (γ1 = 37.23207246)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:48:47.111412
Analysis finished2024-03-13 11:48:49.108860
Duration2 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%
Mean23290.96
Minimum11
Maximum46870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:48:49.197123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile2232.7
Q111580.5
median23293.5
Q334969.25
95-th percentile44491.05
Maximum46870
Range46859
Interquartile range (IQR)23388.75

Descriptive statistics

Standard deviation13521.98
Coefficient of variation (CV)0.58056772
Kurtosis-1.1914949
Mean23290.96
Median Absolute Deviation (MAD)11694
Skewness0.0074580379
Sum2.329096 × 108
Variance1.8284394 × 108
MonotonicityNot monotonic
2024-03-13T20:48:49.351579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44942 1
 
< 0.1%
29747 1
 
< 0.1%
15466 1
 
< 0.1%
23838 1
 
< 0.1%
44555 1
 
< 0.1%
35452 1
 
< 0.1%
33273 1
 
< 0.1%
488 1
 
< 0.1%
28669 1
 
< 0.1%
5031 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
11 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
33 1
< 0.1%
37 1
< 0.1%
ValueCountFrequency (%)
46870 1
< 0.1%
46869 1
< 0.1%
46866 1
< 0.1%
46862 1
< 0.1%
46859 1
< 0.1%
46858 1
< 0.1%
46853 1
< 0.1%
46851 1
< 0.1%
46844 1
< 0.1%
46843 1
< 0.1%

계약종류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
4852 
공사
3278 
용역
1870 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공사
2nd row물품
3rd row공사
4th row용역
5th row공사

Common Values

ValueCountFrequency (%)
물품 4852
48.5%
공사 3278
32.8%
용역 1870
 
18.7%

Length

2024-03-13T20:48:49.510501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:49.613121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 4852
48.5%
공사 3278
32.8%
용역 1870
 
18.7%

관서
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
6046 
예산읍
 
481
보건소
 
359
삽교읍
 
337
광시면
 
245
Other values (15)
2532 

Length

Max length7
Median length2
Mean length2.7564
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 6046
60.5%
예산읍 481
 
4.8%
보건소 359
 
3.6%
삽교읍 337
 
3.4%
광시면 245
 
2.5%
대술면 232
 
2.3%
고덕면 208
 
2.1%
내포문화사업소 205
 
2.1%
상하수도사업소 195
 
1.9%
관광시설사업소 195
 
1.9%
Other values (10) 1497
 
15.0%

Length

2024-03-13T20:48:49.730950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 6046
60.5%
예산읍 481
 
4.8%
보건소 359
 
3.6%
삽교읍 337
 
3.4%
광시면 245
 
2.5%
대술면 232
 
2.3%
고덕면 208
 
2.1%
내포문화사업소 205
 
2.1%
상하수도사업소 195
 
1.9%
관광시설사업소 195
 
1.9%
Other values (10) 1497
 
15.0%
Distinct9912
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T20:48:50.103640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length28.4799
Min length5

Characters and Unicode

Total characters284799
Distinct characters835
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9830 ?
Unique (%)98.3%

Sample

1st row2022 생활밀착형 주민숙원사업 신양면 귀곡불원지구 마을안길정비공사
2nd row재산세 납세고지서 및 자동이체통보서 인쇄
3rd row한우테마공원 풋살구장 조명 설치공사
4th row2018년 예산종합운동장내 소방설비 안전관리대행 용역
5th row2021 주민생활편익 이티리 하천정비공사
ValueCountFrequency (%)
구입 2217
 
4.4%
정비공사 783
 
1.5%
769
 
1.5%
용역 663
 
1.3%
2019 588
 
1.2%
2018 546
 
1.1%
2021 520
 
1.0%
2020 498
 
1.0%
마을안길 496
 
1.0%
정비사업 496
 
1.0%
Other values (9994) 43048
85.0%
2024-03-13T20:48:51.054332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40985
 
14.4%
9470
 
3.3%
2 9470
 
3.3%
0 6610
 
2.3%
6036
 
2.1%
5746
 
2.0%
) 5677
 
2.0%
( 5661
 
2.0%
5356
 
1.9%
1 5251
 
1.8%
Other values (825) 184537
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203713
71.5%
Space Separator 40985
 
14.4%
Decimal Number 26027
 
9.1%
Close Punctuation 5712
 
2.0%
Open Punctuation 5696
 
2.0%
Uppercase Letter 1163
 
0.4%
Other Punctuation 747
 
0.3%
Dash Punctuation 460
 
0.2%
Lowercase Letter 165
 
0.1%
Math Symbol 118
 
< 0.1%
Other values (4) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9470
 
4.6%
6036
 
3.0%
5746
 
2.8%
5356
 
2.6%
4660
 
2.3%
4215
 
2.1%
4087
 
2.0%
3918
 
1.9%
3853
 
1.9%
3564
 
1.7%
Other values (743) 152808
75.0%
Uppercase Letter
ValueCountFrequency (%)
C 182
15.6%
E 148
12.7%
P 142
12.2%
D 113
9.7%
V 99
8.5%
T 90
7.7%
L 75
6.4%
S 50
 
4.3%
A 43
 
3.7%
B 37
 
3.2%
Other values (14) 184
15.8%
Lowercase Letter
ValueCountFrequency (%)
o 21
12.7%
t 13
 
7.9%
s 12
 
7.3%
u 12
 
7.3%
p 11
 
6.7%
i 10
 
6.1%
r 10
 
6.1%
m 9
 
5.5%
a 9
 
5.5%
l 9
 
5.5%
Other values (11) 49
29.7%
Other Punctuation
ValueCountFrequency (%)
, 427
57.2%
* 97
 
13.0%
. 79
 
10.6%
· 60
 
8.0%
/ 36
 
4.8%
: 24
 
3.2%
' 12
 
1.6%
& 6
 
0.8%
" 2
 
0.3%
2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 9470
36.4%
0 6610
25.4%
1 5251
20.2%
9 977
 
3.8%
8 838
 
3.2%
7 776
 
3.0%
5 769
 
3.0%
6 659
 
2.5%
3 459
 
1.8%
4 218
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 5677
99.4%
] 26
 
0.5%
7
 
0.1%
2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5661
99.4%
[ 26
 
0.5%
7
 
0.1%
2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 113
95.8%
+ 5
 
4.2%
Space Separator
ValueCountFrequency (%)
40985
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203713
71.5%
Common 79758
 
28.0%
Latin 1328
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9470
 
4.6%
6036
 
3.0%
5746
 
2.8%
5356
 
2.6%
4660
 
2.3%
4215
 
2.1%
4087
 
2.0%
3918
 
1.9%
3853
 
1.9%
3564
 
1.7%
Other values (743) 152808
75.0%
Latin
ValueCountFrequency (%)
C 182
13.7%
E 148
11.1%
P 142
10.7%
D 113
 
8.5%
V 99
 
7.5%
T 90
 
6.8%
L 75
 
5.6%
S 50
 
3.8%
A 43
 
3.2%
B 37
 
2.8%
Other values (35) 349
26.3%
Common
ValueCountFrequency (%)
40985
51.4%
2 9470
 
11.9%
0 6610
 
8.3%
) 5677
 
7.1%
( 5661
 
7.1%
1 5251
 
6.6%
9 977
 
1.2%
8 838
 
1.1%
7 776
 
1.0%
5 769
 
1.0%
Other values (27) 2744
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203705
71.5%
ASCII 81003
 
28.4%
None 81
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40985
50.6%
2 9470
 
11.7%
0 6610
 
8.2%
) 5677
 
7.0%
( 5661
 
7.0%
1 5251
 
6.5%
9 977
 
1.2%
8 838
 
1.0%
7 776
 
1.0%
5 769
 
0.9%
Other values (63) 3989
 
4.9%
Hangul
ValueCountFrequency (%)
9470
 
4.6%
6036
 
3.0%
5746
 
2.8%
5356
 
2.6%
4660
 
2.3%
4215
 
2.1%
4087
 
2.0%
3918
 
1.9%
3853
 
1.9%
3564
 
1.7%
Other values (741) 152800
75.0%
None
ValueCountFrequency (%)
· 60
74.1%
7
 
8.6%
7
 
8.6%
2
 
2.5%
2
 
2.5%
2
 
2.5%
1
 
1.2%
Compat Jamo
ValueCountFrequency (%)
7
87.5%
1
 
12.5%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct7000
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29481106
Minimum8200
Maximum1.2018 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:48:51.208936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8200
5-th percentile1183986
Q13357222.5
median8230000
Q318071690
95-th percentile78179160
Maximum1.2018 × 1010
Range1.2017992 × 1010
Interquartile range (IQR)14714468

Descriptive statistics

Standard deviation2.0284082 × 108
Coefficient of variation (CV)6.8803668
Kurtosis1838.0051
Mean29481106
Median Absolute Deviation (MAD)5756930
Skewness37.232072
Sum2.9481106 × 1011
Variance4.1144398 × 1016
MonotonicityNot monotonic
2024-03-13T20:48:51.388344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000000 83
 
0.8%
3000000 63
 
0.6%
19000000 34
 
0.3%
4900000 32
 
0.3%
3360000 29
 
0.3%
5000000 28
 
0.3%
4950000 23
 
0.2%
1980000 23
 
0.2%
20460000 22
 
0.2%
9700000 21
 
0.2%
Other values (6990) 9642
96.4%
ValueCountFrequency (%)
8200 1
< 0.1%
36360 1
< 0.1%
44660 1
< 0.1%
81210 2
< 0.1%
82300 1
< 0.1%
93340 1
< 0.1%
97850 1
< 0.1%
99500 1
< 0.1%
118200 1
< 0.1%
120000 1
< 0.1%
ValueCountFrequency (%)
12018000000 1
< 0.1%
9531263900 1
< 0.1%
6242000000 1
< 0.1%
4468594690 1
< 0.1%
3527716000 1
< 0.1%
2758968900 1
< 0.1%
2562766400 1
< 0.1%
2545000000 1
< 0.1%
2409685780 1
< 0.1%
2246870000 1
< 0.1%
Distinct1905
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-01 00:00:00
Maximum2022-06-30 00:00:00
2024-03-13T20:48:51.554203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:51.728796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2532
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T20:48:51.989467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length9.4413
Min length2

Characters and Unicode

Total characters94413
Distinct characters574
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1479 ?
Unique (%)14.8%

Sample

1st row대원건설(주)
2nd row아름전산
3rd row오성전기(주)
4th row(주)벧엘산전
5th row주식회사 신평
ValueCountFrequency (%)
주식회사 1473
 
12.4%
대전지방조달청 255
 
2.1%
대전지방조달청(충남서부레미콘사업협동조합 152
 
1.3%
대전지방조달청(대전세종충청레미콘공업협 147
 
1.2%
대전세종충남북부아스콘협동조합 117
 
1.0%
대전세종충남콘크리트공업협동조합 117
 
1.0%
대전지방조달청(주식회사 112
 
0.9%
주)삼진에코텍 103
 
0.9%
주)건영종합환경 101
 
0.8%
주)대영환경 91
 
0.8%
Other values (2550) 9230
77.6%
2024-03-13T20:48:52.467112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6069
 
6.4%
( 5201
 
5.5%
) 5191
 
5.5%
3258
 
3.5%
2997
 
3.2%
2851
 
3.0%
2794
 
3.0%
2384
 
2.5%
2281
 
2.4%
2191
 
2.3%
Other values (564) 59196
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81671
86.5%
Open Punctuation 5201
 
5.5%
Close Punctuation 5191
 
5.5%
Space Separator 1900
 
2.0%
Uppercase Letter 271
 
0.3%
Other Punctuation 137
 
0.1%
Decimal Number 26
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Math Symbol 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6069
 
7.4%
3258
 
4.0%
2997
 
3.7%
2851
 
3.5%
2794
 
3.4%
2384
 
2.9%
2281
 
2.8%
2191
 
2.7%
2115
 
2.6%
2059
 
2.5%
Other values (520) 52672
64.5%
Uppercase Letter
ValueCountFrequency (%)
O 45
16.6%
A 41
15.1%
E 32
11.8%
G 26
9.6%
N 24
8.9%
S 20
7.4%
R 11
 
4.1%
K 11
 
4.1%
L 9
 
3.3%
B 7
 
2.6%
Other values (13) 45
16.6%
Decimal Number
ValueCountFrequency (%)
1 13
50.0%
2 4
 
15.4%
0 3
 
11.5%
4 2
 
7.7%
3 2
 
7.7%
9 1
 
3.8%
7 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 4
33.3%
o 4
33.3%
i 2
16.7%
n 2
16.7%
Other Punctuation
ValueCountFrequency (%)
. 121
88.3%
, 10
 
7.3%
& 6
 
4.4%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 5201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5191
100.0%
Space Separator
ValueCountFrequency (%)
1900
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81671
86.5%
Common 12458
 
13.2%
Latin 284
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6069
 
7.4%
3258
 
4.0%
2997
 
3.7%
2851
 
3.5%
2794
 
3.4%
2384
 
2.9%
2281
 
2.8%
2191
 
2.7%
2115
 
2.6%
2059
 
2.5%
Other values (520) 52672
64.5%
Latin
ValueCountFrequency (%)
O 45
15.8%
A 41
14.4%
E 32
11.3%
G 26
9.2%
N 24
8.5%
S 20
 
7.0%
R 11
 
3.9%
K 11
 
3.9%
L 9
 
3.2%
B 7
 
2.5%
Other values (18) 58
20.4%
Common
ValueCountFrequency (%)
( 5201
41.7%
) 5191
41.7%
1900
 
15.3%
. 121
 
1.0%
1 13
 
0.1%
, 10
 
0.1%
& 6
 
< 0.1%
2 4
 
< 0.1%
0 3
 
< 0.1%
4 2
 
< 0.1%
Other values (6) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81670
86.5%
ASCII 12741
 
13.5%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6069
 
7.4%
3258
 
4.0%
2997
 
3.7%
2851
 
3.5%
2794
 
3.4%
2384
 
2.9%
2281
 
2.8%
2191
 
2.7%
2115
 
2.6%
2059
 
2.5%
Other values (519) 52671
64.5%
ASCII
ValueCountFrequency (%)
( 5201
40.8%
) 5191
40.7%
1900
 
14.9%
. 121
 
0.9%
O 45
 
0.4%
A 41
 
0.3%
E 32
 
0.3%
G 26
 
0.2%
N 24
 
0.2%
S 20
 
0.2%
Other values (33) 140
 
1.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

Interactions

2024-03-13T20:48:48.655417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:48.430084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:48.747578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:48.540214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:48:52.574360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약종류관서계약금액
번호1.0000.0950.2650.030
계약종류0.0951.0000.3930.015
관서0.2650.3931.0000.000
계약금액0.0300.0150.0001.000
2024-03-13T20:48:52.700943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관서계약종류
관서1.0000.226
계약종류0.2261.000
2024-03-13T20:48:52.808974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액계약종류관서
번호1.000-0.0130.0570.087
계약금액-0.0131.0000.0100.000
계약종류0.0570.0101.0000.226
관서0.0870.0000.2261.000

Missing values

2024-03-13T20:48:48.897104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:48:49.034188image/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

번호계약종류관서계약명계약금액계약일자업체명
4494144942공사본청2022 생활밀착형 주민숙원사업 신양면 귀곡불원지구 마을안길정비공사311706002022-04-04대원건설(주)
1000410005물품본청재산세 납세고지서 및 자동이체통보서 인쇄53776002017-02-22아름전산
1107211073공사광시면한우테마공원 풋살구장 조명 설치공사67000002017-03-23오성전기(주)
1493114932용역본청2018년 예산종합운동장내 소방설비 안전관리대행 용역141240002017-12-27(주)벧엘산전
3600136002공사대술면2021 주민생활편익 이티리 하천정비공사149000002021-02-23주식회사 신평
2566325664공사본청2019년 하반기 신호기 유지관리 전기공사(연간단가)183400002019-07-31주식회사 프라임
1644216443물품보건소2018년 방역소독장비 구입계획163260002018-03-17세신실업
2483924840물품본청윤봉길체육관 바닥매트 구입165300002019-06-05현대스포츠
50255026물품대술면2016소규모주민생활편익 장복1리 도로포장공사 관급자재(레미콘)59878002016-03-08대전지방조달청
2684526846용역본청2019년 숲가꾸기사업(2차) 감리용역19380002019-10-24주식회사 명산엔지니어링
번호계약종류관서계약명계약금액계약일자업체명
2250322504물품보건소거점형 건강증진센터 운영에 따른 물품구입51000002019-03-08엘림산업
3438934390공사본청2020 버스승강장 발열의자 설치를 위한 전기공사7200002020-11-28신한전기
2414924150용역고덕면제47회 어버이날 기념행사에 따른 탁자·천막·의자 설치 용역16610002019-05-07까치기획
4338443385물품보건소코로나19확진자 식료품 구입440000002022-02-18선양인터
4271342714용역본청2022 예산군 일자리상황판 유지보수 관리용역40314002021-12-31(주)아이티코리아
2645026451공사본청예산시장 활성화 공영주차장 및 소공원 조성사업 건축물 철거공사238190002019-10-07무한건설환경(주)
4040340404용역본청2021년 하반기 소규모수도시설 물탱크유지관리용역405920002021-09-06(주)태원개발
2490724908물품신양면2019 소규모주민생활편익사업 녹문리 마을안길 정비공사 관급자재(용접철망) 구입결의4040002019-06-10주식회사 형남
2828828289용역본청2020년 계약정보공개시스템 유지보수 용역38800002020-01-13(주)정보데이타시스템
2873128732물품본청2020 오가 분천1지구 용배수로 정비사업(벤치플륨관)1317037502020-02-19청람콘크리트(조달청)