Overview

Dataset statistics

Number of variables8
Number of observations1775
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.5 KiB
Average record size in memory66.1 B

Variable types

Numeric2
Categorical3
Text2
DateTime1

Dataset

Description인천광역시 서구의 계약 정보 공개 시스템 입니다. 계약명, 계약금액, 계약일, 계약대상자 정보 등을 제공합니다. 서구 계약정보공개시스템 사이트( http://gyeyak.seo.incheon.kr/contract/)에서 더 많은 정보를 확인할 수 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15063262&srcSe=7661IVAWM27C61E190

Alerts

구분 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 구분High correlation
관서명 is highly imbalanced (63.7%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:42:38.014175
Analysis finished2024-03-18 04:42:40.647938
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1775
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888
Minimum1
Maximum1775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2024-03-18T13:42:40.707676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile89.7
Q1444.5
median888
Q31331.5
95-th percentile1686.3
Maximum1775
Range1774
Interquartile range (IQR)887

Descriptive statistics

Standard deviation512.54268
Coefficient of variation (CV)0.5771877
Kurtosis-1.2
Mean888
Median Absolute Deviation (MAD)444
Skewness0
Sum1576200
Variance262700
MonotonicityStrictly increasing
2024-03-18T13:42:40.840020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1181 1
 
0.1%
1192 1
 
0.1%
1191 1
 
0.1%
1190 1
 
0.1%
1189 1
 
0.1%
1188 1
 
0.1%
1187 1
 
0.1%
1186 1
 
0.1%
1185 1
 
0.1%
Other values (1765) 1765
99.4%
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 (%)
1775 1
0.1%
1774 1
0.1%
1773 1
0.1%
1772 1
0.1%
1771 1
0.1%
1770 1
0.1%
1769 1
0.1%
1768 1
0.1%
1767 1
0.1%
1766 1
0.1%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
물품
768 
용역
706 
공사
301 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 768
43.3%
용역 706
39.8%
공사 301
 
17.0%

Length

2024-03-18T13:42:40.951563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:42:41.035965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 768
43.3%
용역 706
39.8%
공사 301
 
17.0%

유형
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
일반
686 
구매
455 
관급자재구매
305 
전문
170 
전기
 
51
Other values (12)
108 

Length

Max length6
Median length2
Mean length2.7239437
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row구매
2nd row전기
3rd row전기
4th row종합
5th row구매

Common Values

ValueCountFrequency (%)
일반 686
38.6%
구매 455
25.6%
관급자재구매 305
17.2%
전문 170
 
9.6%
전기 51
 
2.9%
종합 29
 
1.6%
정보통신 19
 
1.1%
산림 15
 
0.8%
기타 12
 
0.7%
폐기물 10
 
0.6%
Other values (7) 23
 
1.3%

Length

2024-03-18T13:42:41.132516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 686
38.6%
구매 455
25.6%
관급자재구매 305
17.2%
전문 170
 
9.6%
전기 51
 
2.9%
종합 29
 
1.6%
정보통신 19
 
1.1%
산림 15
 
0.8%
기타 12
 
0.7%
폐기물 10
 
0.6%
Other values (7) 23
 
1.3%

관서명
Categorical

IMBALANCE 

Distinct27
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
본청
1328 
보건소
 
120
검단출장소
 
115
의회사무국
 
23
가좌1동
 
14
Other values (22)
175 

Length

Max length5
Median length2
Mean length2.5076056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 1328
74.8%
보건소 120
 
6.8%
검단출장소 115
 
6.5%
의회사무국 23
 
1.3%
가좌1동 14
 
0.8%
검단동 13
 
0.7%
청라3동 12
 
0.7%
당하동 12
 
0.7%
원당동 11
 
0.6%
검암경서동 11
 
0.6%
Other values (17) 116
 
6.5%

Length

2024-03-18T13:42:41.281101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 1328
74.8%
보건소 120
 
6.8%
검단출장소 115
 
6.5%
의회사무국 23
 
1.3%
가좌1동 14
 
0.8%
검단동 13
 
0.7%
청라3동 12
 
0.7%
당하동 12
 
0.7%
원당동 11
 
0.6%
검암경서동 11
 
0.6%
Other values (17) 116
 
6.5%

계약명
Text

Distinct1726
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-03-18T13:42:41.530847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length27.473239
Min length8

Characters and Unicode

Total characters48765
Distinct characters628
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1684 ?
Unique (%)94.9%

Sample

1st row고산후로121번길 무단횡단금지대 설치사업 시행
2nd row청라 공동주택 음식물류 폐기물 대형감량기 설치 전기공사(동양엔파트아파트)
3rd row구립 할머니 경로당 전기설비 및 전기공사 시행
4th row루원시티 주차장2 공영주차장 조성공사 시행(건축,토목,기계,조경)
5th row물품 구입[전동구동기 등]
ValueCountFrequency (%)
2022년 488
 
5.3%
시행 355
 
3.8%
용역 297
 
3.2%
구입 176
 
1.9%
계약 170
 
1.8%
및 161
 
1.7%
2022년도 132
 
1.4%
위한 93
 
1.0%
유지보수 85
 
0.9%
관급자재 79
 
0.9%
Other values (2763) 7253
78.1%
2024-03-18T13:42:42.065605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7520
 
15.4%
2 2262
 
4.6%
사 1003
 
2.1%
시 888
 
1.8%
공 880
 
1.8%
( 821
 
1.7%
) 816
 
1.7%
구 800
 
1.6%
역 778
 
1.6%
0 733
 
1.5%
Other values (618) 32264
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34711
71.2%
Space Separator 7520
 
15.4%
Decimal Number 3588
 
7.4%
Open Punctuation 1045
 
2.1%
Close Punctuation 1033
 
2.1%
Uppercase Letter 370
 
0.8%
Other Punctuation 239
 
0.5%
Dash Punctuation 185
 
0.4%
Lowercase Letter 50
 
0.1%
Math Symbol 14
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1003
 
2.9%
시 888
 
2.6%
공 880
 
2.5%
구 800
 
2.3%
역 778
 
2.2%
기 696
 
2.0%
년 696
 
2.0%
용 672
 
1.9%
지 668
 
1.9%
행 607
 
1.7%
Other values (552) 27023
77.9%
Uppercase Letter
ValueCountFrequency (%)
C 80
21.6%
V 44
11.9%
T 39
10.5%
D 34
9.2%
E 29
 
7.8%
L 29
 
7.8%
S 17
 
4.6%
A 16
 
4.3%
I 13
 
3.5%
R 12
 
3.2%
Other values (10) 57
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 28
56.0%
r 4
 
8.0%
o 3
 
6.0%
s 3
 
6.0%
n 2
 
4.0%
v 1
 
2.0%
d 1
 
2.0%
i 1
 
2.0%
b 1
 
2.0%
y 1
 
2.0%
Other values (5) 5
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 2262
63.0%
0 733
 
20.4%
1 207
 
5.8%
3 106
 
3.0%
6 70
 
2.0%
9 60
 
1.7%
8 45
 
1.3%
5 45
 
1.3%
4 44
 
1.2%
7 16
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 821
78.6%
[ 139
 
13.3%
「 68
 
6.5%
『 15
 
1.4%
【 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 816
79.0%
] 132
 
12.8%
」 68
 
6.6%
』 15
 
1.5%
】 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 152
63.6%
· 47
 
19.7%
/ 30
 
12.6%
. 10
 
4.2%
Math Symbol
ValueCountFrequency (%)
~ 12
85.7%
+ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
7520
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34709
71.2%
Common 13634
 
28.0%
Latin 420
 
0.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1003
 
2.9%
시 888
 
2.6%
공 880
 
2.5%
구 800
 
2.3%
역 778
 
2.2%
기 696
 
2.0%
년 696
 
2.0%
용 672
 
1.9%
지 668
 
1.9%
행 607
 
1.7%
Other values (551) 27021
77.9%
Latin
ValueCountFrequency (%)
C 80
19.0%
V 44
10.5%
T 39
9.3%
D 34
 
8.1%
E 29
 
6.9%
L 29
 
6.9%
e 28
 
6.7%
S 17
 
4.0%
A 16
 
3.8%
I 13
 
3.1%
Other values (25) 91
21.7%
Common
ValueCountFrequency (%)
7520
55.2%
2 2262
 
16.6%
( 821
 
6.0%
) 816
 
6.0%
0 733
 
5.4%
1 207
 
1.5%
- 185
 
1.4%
, 152
 
1.1%
[ 139
 
1.0%
] 132
 
1.0%
Other values (21) 667
 
4.9%
Han
ValueCountFrequency (%)
舊 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34704
71.2%
ASCII 13836
 
28.4%
None 217
 
0.4%
Compat Jamo 5
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7520
54.4%
2 2262
 
16.3%
( 821
 
5.9%
) 816
 
5.9%
0 733
 
5.3%
1 207
 
1.5%
- 185
 
1.3%
, 152
 
1.1%
[ 139
 
1.0%
] 132
 
1.0%
Other values (48) 869
 
6.3%
Hangul
ValueCountFrequency (%)
사 1003
 
2.9%
시 888
 
2.6%
공 880
 
2.5%
구 800
 
2.3%
역 778
 
2.2%
기 696
 
2.0%
년 696
 
2.0%
용 672
 
1.9%
지 668
 
1.9%
행 607
 
1.7%
Other values (550) 27016
77.8%
None
ValueCountFrequency (%)
」 68
31.3%
「 68
31.3%
· 47
21.7%
』 15
 
6.9%
『 15
 
6.9%
【 2
 
0.9%
】 2
 
0.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
舊 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

계약금액
Real number (ℝ)

Distinct1498
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58849658
Minimum149600
Maximum2.1474836 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2024-03-18T13:42:42.199408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum149600
5-th percentile765440
Q13206500
median11385000
Q333241300
95-th percentile2.0215451 × 108
Maximum2.1474836 × 109
Range2.147334 × 109
Interquartile range (IQR)30034800

Descriptive statistics

Standard deviation2.0772171 × 108
Coefficient of variation (CV)3.5297013
Kurtosis66.029754
Mean58849658
Median Absolute Deviation (MAD)9299400
Skewness7.6714641
Sum1.0445814 × 1011
Variance4.314831 × 1016
MonotonicityNot monotonic
2024-03-18T13:42:42.561011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7389000 11
 
0.6%
1320000 10
 
0.6%
1000000 10
 
0.6%
1800000 10
 
0.6%
624000 9
 
0.5%
600000 9
 
0.5%
960000 8
 
0.5%
2147483647 8
 
0.5%
1200000 8
 
0.5%
1248000 7
 
0.4%
Other values (1488) 1685
94.9%
ValueCountFrequency (%)
149600 1
0.1%
165000 1
0.1%
184800 1
0.1%
192000 1
0.1%
205000 1
0.1%
206500 1
0.1%
210600 2
0.1%
238800 1
0.1%
244800 1
0.1%
286000 1
0.1%
ValueCountFrequency (%)
2147483647 8
0.5%
2080000000 1
 
0.1%
1917392000 1
 
0.1%
1820955800 1
 
0.1%
1667500000 1
 
0.1%
1617889000 1
 
0.1%
1579460400 1
 
0.1%
1556287540 1
 
0.1%
1404128000 1
 
0.1%
1344400000 1
 
0.1%

계약일
Date

Distinct170
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2021-11-12 00:00:00
Maximum2022-08-01 00:00:00
2024-03-18T13:42:42.680185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:42:42.792917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약대상자
Text

Distinct1025
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-03-18T13:42:43.028573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.3092958
Min length2

Characters and Unicode

Total characters14749
Distinct characters464
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique719 ?
Unique (%)40.5%

Sample

1st row주식회사 이도산업
2nd row(주)백운전력
3rd row주식회사 대산전력
4th row삼신종합건설 주식회사
5th row주식회사 준영엔지니어링
ValueCountFrequency (%)
주식회사 497
 
21.1%
보스시큐리티(주 56
 
2.4%
성진시스템 32
 
1.4%
인천지방조달청 17
 
0.7%
에스지이 15
 
0.6%
주)씨케이크린앤환경 14
 
0.6%
경인레미콘사업협동조합 13
 
0.6%
주)아쿠아정수시스템 13
 
0.6%
한국타피(주 13
 
0.6%
주)광명테크 10
 
0.4%
Other values (1049) 1673
71.1%
2024-03-18T13:42:43.378670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1302
 
8.8%
사 760
 
5.2%
( 741
 
5.0%
) 741
 
5.0%
회 615
 
4.2%
578
 
3.9%
식 571
 
3.9%
이 419
 
2.8%
스 417
 
2.8%
인 234
 
1.6%
Other values (454) 8371
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12633
85.7%
Open Punctuation 742
 
5.0%
Close Punctuation 742
 
5.0%
Space Separator 578
 
3.9%
Uppercase Letter 37
 
0.3%
Decimal Number 11
 
0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1302
 
10.3%
사 760
 
6.0%
회 615
 
4.9%
식 571
 
4.5%
이 419
 
3.3%
스 417
 
3.3%
인 234
 
1.9%
에 222
 
1.8%
경 205
 
1.6%
리 174
 
1.4%
Other values (428) 7714
61.1%
Uppercase Letter
ValueCountFrequency (%)
K 5
13.5%
C 4
10.8%
N 4
10.8%
S 4
10.8%
E 3
8.1%
G 3
8.1%
T 3
8.1%
D 3
8.1%
I 2
 
5.4%
B 1
 
2.7%
Other values (5) 5
13.5%
Open Punctuation
ValueCountFrequency (%)
( 741
99.9%
（ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 741
99.9%
） 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
8 10
90.9%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
578
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12634
85.7%
Common 2078
 
14.1%
Latin 37
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1302
 
10.3%
사 760
 
6.0%
회 615
 
4.9%
식 571
 
4.5%
이 419
 
3.3%
스 417
 
3.3%
인 234
 
1.9%
에 222
 
1.8%
경 205
 
1.6%
리 174
 
1.4%
Other values (429) 7715
61.1%
Latin
ValueCountFrequency (%)
K 5
13.5%
C 4
10.8%
N 4
10.8%
S 4
10.8%
E 3
8.1%
G 3
8.1%
T 3
8.1%
D 3
8.1%
I 2
 
5.4%
B 1
 
2.7%
Other values (5) 5
13.5%
Common
ValueCountFrequency (%)
( 741
35.7%
) 741
35.7%
578
27.8%
8 10
 
0.5%
- 2
 
0.1%
. 2
 
0.1%
） 1
 
< 0.1%
（ 1
 
< 0.1%
& 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12633
85.7%
ASCII 2113
 
14.3%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1302
 
10.3%
사 760
 
6.0%
회 615
 
4.9%
식 571
 
4.5%
이 419
 
3.3%
스 417
 
3.3%
인 234
 
1.9%
에 222
 
1.8%
경 205
 
1.6%
리 174
 
1.4%
Other values (428) 7714
61.1%
ASCII
ValueCountFrequency (%)
( 741
35.1%
) 741
35.1%
578
27.4%
8 10
 
0.5%
K 5
 
0.2%
C 4
 
0.2%
N 4
 
0.2%
S 4
 
0.2%
E 3
 
0.1%
G 3
 
0.1%
Other values (13) 20
 
0.9%
None
ValueCountFrequency (%)
㈜ 1
33.3%
） 1
33.3%
（ 1
33.3%

Interactions

2024-03-18T13:42:40.308169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:42:40.054554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:42:40.385774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:42:40.226103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:42:43.458615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분유형관서명계약금액
번호1.0000.5890.4930.6190.244
구분0.5891.0000.9950.4980.171
유형0.4930.9951.0000.3670.125
관서명0.6190.4980.3671.0000.000
계약금액0.2440.1710.1250.0001.000
2024-03-18T13:42:43.540401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관서명유형
구분1.0000.2660.994
관서명0.2661.0000.113
유형0.9940.1131.000
2024-03-18T13:42:43.612578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액구분유형관서명
번호1.000-0.1650.4320.2150.275
계약금액-0.1651.0000.1030.0490.000
구분0.4320.1031.0000.9940.266
유형0.2150.0490.9941.0000.113
관서명0.2750.0000.2660.1131.000

Missing values

2024-03-18T13:42:40.482407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:42:40.593277image/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

번호구분유형관서명계약명계약금액계약일계약대상자
01물품구매본청고산후로121번길 무단횡단금지대 설치사업 시행184300002022-08-01주식회사 이도산업
12공사전기본청청라 공동주택 음식물류 폐기물 대형감량기 설치 전기공사(동양엔파트아파트)106379902022-07-29(주)백운전력
23공사전기본청구립 할머니 경로당 전기설비 및 전기공사 시행106590002022-07-29주식회사 대산전력
34공사종합본청루원시티 주차장2 공영주차장 조성공사 시행(건축,토목,기계,조경)21474836472022-07-29삼신종합건설 주식회사
45물품구매본청물품 구입[전동구동기 등]82265702022-07-29주식회사 준영엔지니어링
56물품구매본청관용청소차량 슬로건 시트지 랩핑(수정)26888402022-07-29싸인공사부일
67공사전문본청청라 공동주택 음식물류 폐기물 대형감량기 설치 기초공사(동양엔파트아파트)93588802022-07-28주상건설주식회사
78공사전문본청석남고가교입구 일원 보도정비공사 시행1162010702022-07-28(주)해일이엔씨
89물품구매본청청라 공동주택 음식물류 폐기물 대형감량기 차양시설 구입(동양엔파트아파트)57920002022-07-28(주)성원디앤에프
910물품구매보건소치매환자 여름안심키트 제작 및 배부209000002022-07-28썬N문
번호구분유형관서명계약명계약금액계약일계약대상자
17651766용역일반본청2022년도 무인민원발급기 연간유지보수 용역(가좌2동우체국외 7개소) 계약287230002021-12-09성진시스템
17661767용역일반본청2022년 통합증명 발급시스템(2번창구 외 2대) 유지보수 용역20936002021-12-09성진시스템
17671768용역일반본청2022년 통합증명 발급시스템(1번창구 외 1대) 유지보수 용역12400002021-12-09(주)광명테크
17681769용역일반본청2022년 표준 기록관리시스템 통합 유지보수 용역 계약493698702021-12-09(주)월드넷코리아
17691770용역일반본청「2022년 무인 여성안심택배함 임차용역」시행527662002021-12-09위드락
17701771용역일반본청2022년 경로당 방역(소독) 용역 시행470250002021-12-08(주)씨케이크린앤환경
17711772용역일반본청2022년도 부동산종합공부시스템 하드웨어 및 소프트웨어 유지보수 용역 계약325710002021-12-08주식회사 더넷
17721773용역일반본청2022년 승강기 안전관리대행 용역446530002021-12-07대원엔지니어링써비스 주식회사
17731774용역일반본청2022년 승강기 청소 용역364571802021-12-06주식회사 공간환경디자인
17741775용역일반본청SDGs(지속가능발전목표)관련 영상」제작198000002021-11-12이안에듀