Overview

Dataset statistics

Number of variables16
Number of observations260
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.4 KiB
Average record size in memory131.5 B

Variable types

Numeric3
DateTime1
Text7
Categorical5

Dataset

Description시흥도시공사에서 체결한 500만원 이상의 물품구매 현황입니다. 자산 이외에도 각종 사무용품 및 업무용 소모품 등을 포함하며, 계약시기 및 물품가액 등이 기재되어 있습니다.
Author시흥도시공사
URLhttps://www.data.go.kr/data/15098956/fileData.do

Alerts

계약기관 has constant value ""Constant
수요기관 has constant value ""Constant
검사기관 has constant value ""Constant
계약금액 is highly overall correlated with 계약방법High correlation
계약방법 is highly overall correlated with 계약금액 and 1 other fieldsHigh correlation
단위 is highly overall correlated with 계약방법High correlation
계약방법 is highly imbalanced (52.5%)Imbalance
구분 has unique valuesUnique
계약번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:12:49.276216
Analysis finished2024-03-14 09:12:54.034708
Duration4.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.5
Minimum1
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T18:12:54.235162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.95
Q165.75
median130.5
Q3195.25
95-th percentile247.05
Maximum260
Range259
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation75.199734
Coefficient of variation (CV)0.57624317
Kurtosis-1.2
Mean130.5
Median Absolute Deviation (MAD)65
Skewness0
Sum33930
Variance5655
MonotonicityStrictly increasing
2024-03-14T18:12:54.686139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
165 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
Other values (250) 250
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%

계약일자
Date

Distinct194
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-01-01 00:00:00
Maximum2023-12-29 00:00:00
2024-03-14T18:12:55.100789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:55.527418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약업체
Text

Distinct144
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:12:56.692953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.4076923
Min length2

Characters and Unicode

Total characters2186
Distinct characters212
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)33.1%

Sample

1st row국도상사
2nd row다감
3rd row주식회사유림
4th row주식회사 신성화학
5th row예송그린
ValueCountFrequency (%)
주식회사 104
27.5%
경기도장애인생산품판매시설 9
 
2.4%
그린테크 8
 
2.1%
그린주의 7
 
1.9%
예송그린 7
 
1.9%
교하 7
 
1.9%
주)진영금속 6
 
1.6%
cleaner 5
 
1.3%
주)혁산정보시스템 5
 
1.3%
green 5
 
1.3%
Other values (141) 215
56.9%
2024-03-14T18:12:58.292369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 192
 
8.8%
사 138
 
6.3%
회 129
 
5.9%
식 123
 
5.6%
118
 
5.4%
이 63
 
2.9%
스 52
 
2.4%
) 52
 
2.4%
( 52
 
2.4%
시 28
 
1.3%
Other values (202) 1239
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1898
86.8%
Space Separator 118
 
5.4%
Lowercase Letter 60
 
2.7%
Close Punctuation 52
 
2.4%
Open Punctuation 52
 
2.4%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 192
 
10.1%
사 138
 
7.3%
회 129
 
6.8%
식 123
 
6.5%
이 63
 
3.3%
스 52
 
2.7%
시 28
 
1.5%
기 28
 
1.5%
그 26
 
1.4%
린 24
 
1.3%
Other values (190) 1095
57.7%
Lowercase Letter
ValueCountFrequency (%)
e 20
33.3%
n 10
16.7%
r 10
16.7%
c 5
 
8.3%
g 5
 
8.3%
l 5
 
8.3%
a 5
 
8.3%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1898
86.8%
Common 224
 
10.2%
Latin 64
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 192
 
10.1%
사 138
 
7.3%
회 129
 
6.8%
식 123
 
6.5%
이 63
 
3.3%
스 52
 
2.7%
시 28
 
1.5%
기 28
 
1.5%
그 26
 
1.4%
린 24
 
1.3%
Other values (190) 1095
57.7%
Latin
ValueCountFrequency (%)
e 20
31.2%
n 10
15.6%
r 10
15.6%
c 5
 
7.8%
g 5
 
7.8%
l 5
 
7.8%
a 5
 
7.8%
A 4
 
6.2%
Common
ValueCountFrequency (%)
118
52.7%
) 52
23.2%
( 52
23.2%
& 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1898
86.8%
ASCII 288
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 192
 
10.1%
사 138
 
7.3%
회 129
 
6.8%
식 123
 
6.5%
이 63
 
3.3%
스 52
 
2.7%
시 28
 
1.5%
기 28
 
1.5%
그 26
 
1.4%
린 24
 
1.3%
Other values (190) 1095
57.7%
ASCII
ValueCountFrequency (%)
118
41.0%
) 52
18.1%
( 52
18.1%
e 20
 
6.9%
n 10
 
3.5%
r 10
 
3.5%
c 5
 
1.7%
g 5
 
1.7%
l 5
 
1.7%
a 5
 
1.7%
Other values (2) 6
 
2.1%

업체대표자
Text

Distinct144
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:12:59.570513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9961538
Min length2

Characters and Unicode

Total characters779
Distinct characters121
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)33.5%

Sample

1st row김우성
2nd row이주리
3rd row이길환
4th row한광순
5th row이예지
ValueCountFrequency (%)
원부규 9
 
3.4%
이영근 8
 
3.1%
김현미 8
 
3.1%
이예지 7
 
2.7%
박서형 7
 
2.7%
김세동 6
 
2.3%
전세원 5
 
1.9%
이상원 5
 
1.9%
이호순 4
 
1.5%
김윤기 4
 
1.5%
Other values (136) 199
76.0%
2024-03-14T18:13:01.103344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 59
 
7.6%
김 55
 
7.1%
성 24
 
3.1%
원 22
 
2.8%
박 20
 
2.6%
영 19
 
2.4%
현 18
 
2.3%
호 18
 
2.3%
정 16
 
2.1%
동 15
 
1.9%
Other values (111) 513
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 777
99.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 59
 
7.6%
김 55
 
7.1%
성 24
 
3.1%
원 22
 
2.8%
박 20
 
2.6%
영 19
 
2.4%
현 18
 
2.3%
호 18
 
2.3%
정 16
 
2.1%
동 15
 
1.9%
Other values (110) 511
65.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 777
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 59
 
7.6%
김 55
 
7.1%
성 24
 
3.1%
원 22
 
2.8%
박 20
 
2.6%
영 19
 
2.4%
현 18
 
2.3%
호 18
 
2.3%
정 16
 
2.1%
동 15
 
1.9%
Other values (110) 511
65.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 777
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 59
 
7.6%
김 55
 
7.1%
성 24
 
3.1%
원 22
 
2.8%
박 20
 
2.6%
영 19
 
2.4%
현 18
 
2.3%
호 18
 
2.3%
정 16
 
2.1%
동 15
 
1.9%
Other values (110) 511
65.8%
ASCII
ValueCountFrequency (%)
2
100.0%

계약번호
Text

UNIQUE 

Distinct260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:13:01.911082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.915385
Min length9

Characters and Unicode

Total characters3618
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)100.0%

Sample

1st row202101013F0-00
2nd row202101007D7-00
3rd row2020320016C-00
4th row2020320023B-00
5th row2020000000-00
ValueCountFrequency (%)
202101013f0-00 1
 
0.4%
2023020fd68-01 1
 
0.4%
20232303a22-01 1
 
0.4%
20232204ee4-00 1
 
0.4%
20232204adb-00 1
 
0.4%
20232202cd7-00 1
 
0.4%
20232204f5c-00 1
 
0.4%
20232204fba-00 1
 
0.4%
2023030033d-00 1
 
0.4%
2023030291a-00 1
 
0.4%
Other values (250) 250
96.2%
2024-03-14T18:13:03.230966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1227
33.9%
2 756
20.9%
1 378
 
10.4%
- 255
 
7.0%
3 212
 
5.9%
4 86
 
2.4%
7 80
 
2.2%
6 74
 
2.0%
A 71
 
2.0%
8 67
 
1.9%
Other values (7) 412
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3008
83.1%
Uppercase Letter 355
 
9.8%
Dash Punctuation 255
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1227
40.8%
2 756
25.1%
1 378
 
12.6%
3 212
 
7.0%
4 86
 
2.9%
7 80
 
2.7%
6 74
 
2.5%
8 67
 
2.2%
9 65
 
2.2%
5 63
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
A 71
20.0%
F 60
16.9%
E 60
16.9%
D 59
16.6%
C 55
15.5%
B 50
14.1%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3263
90.2%
Latin 355
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1227
37.6%
2 756
23.2%
1 378
 
11.6%
- 255
 
7.8%
3 212
 
6.5%
4 86
 
2.6%
7 80
 
2.5%
6 74
 
2.3%
8 67
 
2.1%
9 65
 
2.0%
Latin
ValueCountFrequency (%)
A 71
20.0%
F 60
16.9%
E 60
16.9%
D 59
16.6%
C 55
15.5%
B 50
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1227
33.9%
2 756
20.9%
1 378
 
10.4%
- 255
 
7.0%
3 212
 
5.9%
4 86
 
2.4%
7 80
 
2.2%
6 74
 
2.0%
A 71
 
2.0%
8 67
 
1.9%
Other values (7) 412
 
11.4%

계약명
Text

Distinct231
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:13:04.112139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length33
Mean length23.788462
Min length10

Characters and Unicode

Total characters6185
Distinct characters382
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)79.2%

Sample

1st row2021년 자동차번호판 봉인장치 연간 단가계약
2nd row2021년 시흥그린센터 중탄산나트륨 구매
3rd row2021년 시흥그린센터 분말활성탄 단가 구매
4th row2021년 시흥그린센터 암모니아 단가구매
5th row2021년 1분기 점보롤화장지 및 핸디타올 구입
ValueCountFrequency (%)
구매 183
 
14.0%
시흥그린센터 61
 
4.7%
및 51
 
3.9%
2021년 29
 
2.2%
구입 26
 
2.0%
2023년 23
 
1.8%
2022년 22
 
1.7%
그린환경부 19
 
1.5%
교체 19
 
1.5%
환경미화타운 18
 
1.4%
Other values (454) 856
65.5%
2024-03-14T18:13:05.414732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1059
 
17.1%
구 245
 
4.0%
2 214
 
3.5%
매 210
 
3.4%
시 127
 
2.1%
터 111
 
1.8%
그 99
 
1.6%
린 97
 
1.6%
센 97
 
1.6%
년 92
 
1.5%
Other values (372) 3834
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4498
72.7%
Space Separator 1059
 
17.1%
Decimal Number 407
 
6.6%
Close Punctuation 68
 
1.1%
Open Punctuation 68
 
1.1%
Uppercase Letter 58
 
0.9%
Dash Punctuation 14
 
0.2%
Other Punctuation 11
 
0.2%
Math Symbol 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 245
 
5.4%
매 210
 
4.7%
시 127
 
2.8%
터 111
 
2.5%
그 99
 
2.2%
린 97
 
2.2%
센 97
 
2.2%
년 92
 
2.0%
공 81
 
1.8%
흥 77
 
1.7%
Other values (340) 3262
72.5%
Uppercase Letter
ValueCountFrequency (%)
S 12
20.7%
T 9
15.5%
M 8
13.8%
P 4
 
6.9%
C 4
 
6.9%
H 4
 
6.9%
G 3
 
5.2%
R 3
 
5.2%
B 2
 
3.4%
L 2
 
3.4%
Other values (6) 7
12.1%
Decimal Number
ValueCountFrequency (%)
2 214
52.6%
0 91
22.4%
1 57
 
14.0%
3 29
 
7.1%
4 14
 
3.4%
8 1
 
0.2%
5 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
# 2
 
18.2%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1059
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4498
72.7%
Common 1629
 
26.3%
Latin 58
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 245
 
5.4%
매 210
 
4.7%
시 127
 
2.8%
터 111
 
2.5%
그 99
 
2.2%
린 97
 
2.2%
센 97
 
2.2%
년 92
 
2.0%
공 81
 
1.8%
흥 77
 
1.7%
Other values (340) 3262
72.5%
Common
ValueCountFrequency (%)
1059
65.0%
2 214
 
13.1%
0 91
 
5.6%
) 68
 
4.2%
( 68
 
4.2%
1 57
 
3.5%
3 29
 
1.8%
4 14
 
0.9%
- 14
 
0.9%
, 8
 
0.5%
Other values (6) 7
 
0.4%
Latin
ValueCountFrequency (%)
S 12
20.7%
T 9
15.5%
M 8
13.8%
P 4
 
6.9%
C 4
 
6.9%
H 4
 
6.9%
G 3
 
5.2%
R 3
 
5.2%
B 2
 
3.4%
L 2
 
3.4%
Other values (6) 7
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4498
72.7%
ASCII 1687
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1059
62.8%
2 214
 
12.7%
0 91
 
5.4%
) 68
 
4.0%
( 68
 
4.0%
1 57
 
3.4%
3 29
 
1.7%
4 14
 
0.8%
- 14
 
0.8%
S 12
 
0.7%
Other values (22) 61
 
3.6%
Hangul
ValueCountFrequency (%)
구 245
 
5.4%
매 210
 
4.7%
시 127
 
2.8%
터 111
 
2.5%
그 99
 
2.2%
린 97
 
2.2%
센 97
 
2.2%
년 92
 
2.0%
공 81
 
1.8%
흥 77
 
1.7%
Other values (340) 3262
72.5%

품명
Text

Distinct148
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:13:06.482628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.8692308
Min length2

Characters and Unicode

Total characters1526
Distinct characters284
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)40.0%

Sample

1st row육각볼트
2nd row탈황제
3rd row활성탄
4th row무기수산화물
5th row화장실용화장지
ValueCountFrequency (%)
무기수산화물 25
 
9.6%
금속명판 8
 
3.1%
활성탄(活性炭 8
 
3.1%
화장실용화장지 6
 
2.3%
토너 6
 
2.3%
기타촉매제 5
 
1.9%
중금속고정제 5
 
1.9%
led램프 4
 
1.5%
경강선 4
 
1.5%
컴퓨터키오스크 4
 
1.5%
Other values (138) 185
71.2%
2024-03-14T18:13:08.252821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 66
 
4.3%
장 46
 
3.0%
화 44
 
2.9%
용 40
 
2.6%
수 36
 
2.4%
산 32
 
2.1%
무 30
 
2.0%
물 30
 
2.0%
트 26
 
1.7%
터 25
 
1.6%
Other values (274) 1151
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1493
97.8%
Uppercase Letter 14
 
0.9%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 66
 
4.4%
장 46
 
3.1%
화 44
 
2.9%
용 40
 
2.7%
수 36
 
2.4%
산 32
 
2.1%
무 30
 
2.0%
물 30
 
2.0%
트 26
 
1.7%
터 25
 
1.7%
Other values (267) 1118
74.9%
Uppercase Letter
ValueCountFrequency (%)
L 4
28.6%
E 4
28.6%
D 4
28.6%
T 2
14.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1466
96.1%
Han 27
 
1.8%
Common 19
 
1.2%
Latin 14
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 66
 
4.5%
장 46
 
3.1%
화 44
 
3.0%
용 40
 
2.7%
수 36
 
2.5%
산 32
 
2.2%
무 30
 
2.0%
물 30
 
2.0%
트 26
 
1.8%
터 25
 
1.7%
Other values (261) 1091
74.4%
Han
ValueCountFrequency (%)
活 8
29.6%
炭 8
29.6%
性 8
29.6%
木 1
 
3.7%
腐 1
 
3.7%
防 1
 
3.7%
Latin
ValueCountFrequency (%)
L 4
28.6%
E 4
28.6%
D 4
28.6%
T 2
14.3%
Common
ValueCountFrequency (%)
( 9
47.4%
) 9
47.4%
, 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1466
96.1%
ASCII 33
 
2.2%
CJK 27
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 66
 
4.5%
장 46
 
3.1%
화 44
 
3.0%
용 40
 
2.7%
수 36
 
2.5%
산 32
 
2.2%
무 30
 
2.0%
물 30
 
2.0%
트 26
 
1.8%
터 25
 
1.7%
Other values (261) 1091
74.4%
ASCII
ValueCountFrequency (%)
( 9
27.3%
) 9
27.3%
L 4
12.1%
E 4
12.1%
D 4
12.1%
T 2
 
6.1%
, 1
 
3.0%
CJK
ValueCountFrequency (%)
活 8
29.6%
炭 8
29.6%
性 8
29.6%
木 1
 
3.7%
腐 1
 
3.7%
防 1
 
3.7%

수량
Real number (ℝ)

Distinct63
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191570.71
Minimum1
Maximum8091500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T18:13:08.675090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q38.75
95-th percentile139750
Maximum8091500
Range8091499
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation1039996.4
Coefficient of variation (CV)5.4287858
Kurtosis32.424312
Mean191570.71
Median Absolute Deviation (MAD)0
Skewness5.7400589
Sum49808385
Variance1.0815924 × 1012
MonotonicityNot monotonic
2024-03-14T18:13:09.155456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 186
71.5%
2 7
 
2.7%
213120 2
 
0.8%
130 2
 
0.8%
4588830 2
 
0.8%
18000 2
 
0.8%
200 2
 
0.8%
310 2
 
0.8%
3000 1
 
0.4%
11 1
 
0.4%
Other values (53) 53
 
20.4%
ValueCountFrequency (%)
1 186
71.5%
2 7
 
2.7%
6 1
 
0.4%
8 1
 
0.4%
11 1
 
0.4%
22 1
 
0.4%
26 1
 
0.4%
42 1
 
0.4%
50 1
 
0.4%
54 1
 
0.4%
ValueCountFrequency (%)
8091500 1
0.4%
6372000 1
0.4%
6209280 1
0.4%
6059280 1
0.4%
5831280 1
0.4%
5649430 1
0.4%
4588830 2
0.8%
213120 2
0.8%
171600 1
0.4%
169220 1
0.4%

계약기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
시흥도시공사
260 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시흥도시공사 260
100.0%

Length

2024-03-14T18:13:09.594298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:13:09.884723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시흥도시공사 260
100.0%

주소
Text

Distinct142
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:13:10.656608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length16.630769
Min length11

Characters and Unicode

Total characters4324
Distinct characters202
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)33.5%

Sample

1st row서울특별시 마포구 도화동
2nd row경기도 안산시 단원구 원선1로
3rd row경기도 안성시 서운로
4th row경기도 고양시 일산서구 성저로46번길
5th row경기도 시흥시 문화마을로16번길
ValueCountFrequency (%)
경기도 170
 
18.2%
시흥시 55
 
5.9%
서울특별시 50
 
5.4%
수원시 21
 
2.2%
안산시 17
 
1.8%
화성시 17
 
1.8%
인천광역시 16
 
1.7%
단원구 15
 
1.6%
권선구 10
 
1.1%
영통구 10
 
1.1%
Other values (252) 553
59.2%
2024-03-14T18:13:11.825027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
 
15.6%
시 315
 
7.3%
로 237
 
5.5%
도 194
 
4.5%
경 188
 
4.3%
기 173
 
4.0%
구 148
 
3.4%
길 114
 
2.6%
서 82
 
1.9%
번 74
 
1.7%
Other values (192) 2124
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3275
75.7%
Space Separator 675
 
15.6%
Decimal Number 350
 
8.1%
Other Punctuation 14
 
0.3%
Uppercase Letter 6
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 315
 
9.6%
로 237
 
7.2%
도 194
 
5.9%
경 188
 
5.7%
기 173
 
5.3%
구 148
 
4.5%
길 114
 
3.5%
서 82
 
2.5%
번 74
 
2.3%
산 62
 
1.9%
Other values (174) 1688
51.5%
Decimal Number
ValueCountFrequency (%)
1 69
19.7%
2 66
18.9%
6 49
14.0%
5 32
9.1%
7 30
8.6%
3 26
 
7.4%
4 26
 
7.4%
8 23
 
6.6%
0 19
 
5.4%
9 10
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
T 1
16.7%
C 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
675
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3275
75.7%
Common 1043
 
24.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 315
 
9.6%
로 237
 
7.2%
도 194
 
5.9%
경 188
 
5.7%
기 173
 
5.3%
구 148
 
4.5%
길 114
 
3.5%
서 82
 
2.5%
번 74
 
2.3%
산 62
 
1.9%
Other values (174) 1688
51.5%
Common
ValueCountFrequency (%)
675
64.7%
1 69
 
6.6%
2 66
 
6.3%
6 49
 
4.7%
5 32
 
3.1%
7 30
 
2.9%
3 26
 
2.5%
4 26
 
2.5%
8 23
 
2.2%
0 19
 
1.8%
Other values (3) 28
 
2.7%
Latin
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
T 1
16.7%
C 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3275
75.7%
ASCII 1049
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
64.3%
1 69
 
6.6%
2 66
 
6.3%
6 49
 
4.7%
5 32
 
3.1%
7 30
 
2.9%
3 26
 
2.5%
4 26
 
2.5%
8 23
 
2.2%
0 19
 
1.8%
Other values (8) 34
 
3.2%
Hangul
ValueCountFrequency (%)
시 315
 
9.6%
로 237
 
7.2%
도 194
 
5.9%
경 188
 
5.7%
기 173
 
5.3%
구 148
 
4.5%
길 114
 
3.5%
서 82
 
2.5%
번 74
 
2.3%
산 62
 
1.9%
Other values (174) 1688
51.5%

계약방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
수의
212 
제한경쟁
45 
일반경쟁
 
3

Length

Max length4
Median length2
Mean length2.3692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수의
2nd row제한경쟁
3rd row제한경쟁
4th row제한경쟁
5th row수의

Common Values

ValueCountFrequency (%)
수의 212
81.5%
제한경쟁 45
 
17.3%
일반경쟁 3
 
1.2%

Length

2024-03-14T18:13:12.120854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:13:12.312011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의 212
81.5%
제한경쟁 45
 
17.3%
일반경쟁 3
 
1.2%

규격
Text

Distinct189
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T18:13:13.362662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length50
Mean length22.692308
Min length2

Characters and Unicode

Total characters5900
Distinct characters431
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)57.7%

Sample

1st row육각볼트, 대광금속, V-LOCK볼트(M8x50), M8×50mm
2nd row탈황제
3rd row활성탄, 무림화학, MP-1040, 분말
4th row암모니아수
5th row화장실용화장지, 기타물품포함, 수요기관규격
ValueCountFrequency (%)
수요기관규격 33
 
4.1%
소석회 12
 
1.5%
기타물품포함 12
 
1.5%
활성탄 11
 
1.4%
암모니아수 8
 
1.0%
차량번호판 8
 
1.0%
탱크로리 7
 
0.9%
ml-c810/800 6
 
0.8%
화장실용화장지 6
 
0.8%
엠닥터 5
 
0.6%
Other values (501) 688
86.4%
2024-03-14T18:13:14.941395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
9.1%
, 479
 
8.1%
0 310
 
5.3%
1 110
 
1.9%
- 105
 
1.8%
기 103
 
1.7%
2 101
 
1.7%
m 89
 
1.5%
3 67
 
1.1%
수 66
 
1.1%
Other values (421) 3934
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2727
46.2%
Decimal Number 837
 
14.2%
Uppercase Letter 588
 
10.0%
Other Punctuation 583
 
9.9%
Space Separator 536
 
9.1%
Lowercase Letter 400
 
6.8%
Dash Punctuation 105
 
1.8%
Math Symbol 56
 
0.9%
Open Punctuation 29
 
0.5%
Close Punctuation 29
 
0.5%
Other values (2) 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 103
 
3.8%
수 66
 
2.4%
장 55
 
2.0%
용 51
 
1.9%
스 50
 
1.8%
이 48
 
1.8%
트 44
 
1.6%
리 41
 
1.5%
관 40
 
1.5%
소 39
 
1.4%
Other values (347) 2190
80.3%
Uppercase Letter
ValueCountFrequency (%)
H 56
 
9.5%
S 53
 
9.0%
C 47
 
8.0%
D 44
 
7.5%
L 38
 
6.5%
P 35
 
6.0%
A 29
 
4.9%
W 28
 
4.8%
E 27
 
4.6%
M 25
 
4.3%
Other values (15) 206
35.0%
Lowercase Letter
ValueCountFrequency (%)
m 89
22.2%
e 50
12.5%
a 31
 
7.8%
l 26
 
6.5%
i 25
 
6.2%
k 21
 
5.2%
o 20
 
5.0%
r 19
 
4.8%
s 19
 
4.8%
h 18
 
4.5%
Other values (13) 82
20.5%
Decimal Number
ValueCountFrequency (%)
0 310
37.0%
1 110
 
13.1%
2 101
 
12.1%
3 67
 
8.0%
5 55
 
6.6%
8 52
 
6.2%
4 43
 
5.1%
6 39
 
4.7%
9 31
 
3.7%
7 29
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 479
82.2%
/ 48
 
8.2%
. 42
 
7.2%
% 13
 
2.2%
: 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
× 46
82.1%
~ 6
 
10.7%
∼ 3
 
5.4%
+ 1
 
1.8%
Other Symbol
ValueCountFrequency (%)
㎡ 3
50.0%
㎥ 3
50.0%
Space Separator
ValueCountFrequency (%)
536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Number
ValueCountFrequency (%)
₂ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2727
46.2%
Common 2185
37.0%
Latin 985
 
16.7%
Greek 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 103
 
3.8%
수 66
 
2.4%
장 55
 
2.0%
용 51
 
1.9%
스 50
 
1.8%
이 48
 
1.8%
트 44
 
1.6%
리 41
 
1.5%
관 40
 
1.5%
소 39
 
1.4%
Other values (347) 2190
80.3%
Latin
ValueCountFrequency (%)
m 89
 
9.0%
H 56
 
5.7%
S 53
 
5.4%
e 50
 
5.1%
C 47
 
4.8%
D 44
 
4.5%
L 38
 
3.9%
P 35
 
3.6%
a 31
 
3.1%
A 29
 
2.9%
Other values (37) 513
52.1%
Common
ValueCountFrequency (%)
536
24.5%
, 479
21.9%
0 310
14.2%
1 110
 
5.0%
- 105
 
4.8%
2 101
 
4.6%
3 67
 
3.1%
5 55
 
2.5%
8 52
 
2.4%
/ 48
 
2.2%
Other values (16) 322
14.7%
Greek
ValueCountFrequency (%)
Φ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3111
52.7%
Hangul 2726
46.2%
None 53
 
0.9%
CJK Compat 6
 
0.1%
Math Operators 3
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
17.2%
, 479
 
15.4%
0 310
 
10.0%
1 110
 
3.5%
- 105
 
3.4%
2 101
 
3.2%
m 89
 
2.9%
3 67
 
2.2%
H 56
 
1.8%
5 55
 
1.8%
Other values (58) 1203
38.7%
Hangul
ValueCountFrequency (%)
기 103
 
3.8%
수 66
 
2.4%
장 55
 
2.0%
용 51
 
1.9%
스 50
 
1.8%
이 48
 
1.8%
트 44
 
1.6%
리 41
 
1.5%
관 40
 
1.5%
소 39
 
1.4%
Other values (346) 2189
80.3%
None
ValueCountFrequency (%)
× 46
86.8%
₂ 4
 
7.5%
Φ 3
 
5.7%
CJK Compat
ValueCountFrequency (%)
㎡ 3
50.0%
㎥ 3
50.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

단위
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
개
59 
대
50 
식
50 
kg
42 
조
22 
Other values (20)
37 

Length

Max length2
Median length1
Mean length1.1961538
Min length1

Unique

Unique11 ?
Unique (%)4.2%

Sample

1st row개
2nd rowkg
3rd rowkg
4th rowkg
5th row식

Common Values

ValueCountFrequency (%)
개 59
22.7%
대 50
19.2%
식 50
19.2%
kg 42
16.2%
조 22
 
8.5%
g 5
 
1.9%
상자 4
 
1.5%
매 4
 
1.5%
롤 3
 
1.2%
통 2
 
0.8%
Other values (15) 19
 
7.3%

Length

2024-03-14T18:13:15.362816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개 59
22.7%
대 50
19.2%
식 50
19.2%
kg 42
16.2%
조 22
 
8.5%
g 5
 
1.9%
상자 4
 
1.5%
매 4
 
1.5%
m 3
 
1.2%
롤 3
 
1.2%
Other values (14) 18
 
6.9%

계약금액
Real number (ℝ)

HIGH CORRELATION 

Distinct236
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46133226
Minimum5000000
Maximum4.41 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T18:13:15.748257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile5499010
Q18220000
median16026920
Q336932875
95-th percentile2.3 × 108
Maximum4.41 × 108
Range4.36 × 108
Interquartile range (IQR)28712875

Descriptive statistics

Standard deviation79904000
Coefficient of variation (CV)1.7320271
Kurtosis9.2215373
Mean46133226
Median Absolute Deviation (MAD)9026920
Skewness3.0119806
Sum1.1994639 × 1010
Variance6.3846492 × 1015
MonotonicityNot monotonic
2024-03-14T18:13:16.186647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5500000 6
 
2.3%
19500000 4
 
1.5%
230000000 3
 
1.2%
7000000 3
 
1.2%
19811000 2
 
0.8%
7436990 2
 
0.8%
15200000 2
 
0.8%
26400000 2
 
0.8%
7150000 2
 
0.8%
9350000 2
 
0.8%
Other values (226) 232
89.2%
ValueCountFrequency (%)
5000000 2
0.8%
5005000 1
0.4%
5022300 1
0.4%
5071640 1
0.4%
5072070 1
0.4%
5170000 1
0.4%
5247000 1
0.4%
5280000 1
0.4%
5312000 1
0.4%
5328060 1
0.4%
ValueCountFrequency (%)
441000000 1
0.4%
408446430 1
0.4%
403000000 1
0.4%
398579430 1
0.4%
383581590 1
0.4%
372862380 1
0.4%
358679880 1
0.4%
302862780 1
0.4%
265739140 1
0.4%
251160000 1
0.4%

수요기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
시흥도시공사
260 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시흥도시공사 260
100.0%

Length

2024-03-14T18:13:16.596163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:13:16.886719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시흥도시공사 260
100.0%

검사기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
시흥도시공사
260 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시흥도시공사 260
100.0%

Length

2024-03-14T18:13:17.191374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:13:17.485230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시흥도시공사 260
100.0%

Interactions

2024-03-14T18:12:52.287687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:50.766465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:51.512595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:52.530414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:51.007443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:51.766682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:52.793546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:51.273831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:12:52.037163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:13:17.662393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수량계약방법단위계약금액
구분1.0000.2510.3250.4770.240
수량0.2511.0000.3120.0000.812
계약방법0.3250.3121.0000.7480.897
단위0.4770.0000.7481.0000.174
계약금액0.2400.8120.8970.1741.000
2024-03-14T18:13:17.847032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법단위
계약방법1.0000.515
단위0.5151.000
2024-03-14T18:13:17.988701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수량계약금액계약방법단위
구분1.000-0.149-0.0410.2030.182
수량-0.1491.0000.3150.2470.000
계약금액-0.0410.3151.0000.6260.068
계약방법0.2030.2470.6261.0000.515
단위0.1820.0000.0680.5151.000

Missing values

2024-03-14T18:12:53.158668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:12:53.787559image/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

구분계약일자계약업체업체대표자계약번호계약명품명수량계약기관주소계약방법규격단위계약금액수요기관검사기관
012021-01-01국도상사김우성202101013F0-002021년 자동차번호판 봉인장치 연간 단가계약육각볼트3000시흥도시공사서울특별시 마포구 도화동수의육각볼트, 대광금속, V-LOCK볼트(M8x50), M8×50mm개12582000시흥도시공사시흥도시공사
122021-01-01다감이주리202101007D7-002021년 시흥그린센터 중탄산나트륨 구매탈황제93480시흥도시공사경기도 안산시 단원구 원선1로제한경쟁탈황제kg38695110시흥도시공사시흥도시공사
232021-01-01주식회사유림이길환2020320016C-002021년 시흥그린센터 분말활성탄 단가 구매활성탄33360시흥도시공사경기도 안성시 서운로제한경쟁활성탄, 무림화학, MP-1040, 분말kg71020100시흥도시공사시흥도시공사
342021-01-01주식회사 신성화학한광순2020320023B-002021년 시흥그린센터 암모니아 단가구매무기수산화물213120시흥도시공사경기도 고양시 일산서구 성저로46번길제한경쟁암모니아수kg85162752시흥도시공사시흥도시공사
452021-01-01예송그린이예지2020000000-002021년 1분기 점보롤화장지 및 핸디타올 구입화장실용화장지130시흥도시공사경기도 시흥시 문화마을로16번길수의화장실용화장지, 기타물품포함, 수요기관규격식5500000시흥도시공사시흥도시공사
562021-01-01예송그린이예지2021010215A-002021년 1분기 공공청사 청소소모품 구입멸균용배액팬1시흥도시공사경기도 시흥시 문화마을로16번길수의변기용세척기, 기타물품포함, 수요기관규격식5000000시흥도시공사시흥도시공사
672021-01-01주식회사 교하박서형202012163F0-002021년도 수처리시설 및 폐수처리설비 사용약품 구매무기수산화물87000시흥도시공사경기도 안산시 단원구 목내로수의가성소다, 동양정밀화학, DY-NaOH, 탱크로리kg36910500시흥도시공사시흥도시공사
782021-01-01우주스틸 주식회사황경월20201214C92-002021년 환경미화타운 재활용품 압축처리 결속철선(경강선) 제작 구매경강선18000시흥도시공사경상남도 김해시 김해대로2662번길수의경강선, Φ3.0∼3.99mmkg26730000시흥도시공사시흥도시공사
892021-01-04청산엔텍이 종 경202012172D1-00보일러 및 냉각수 사용용품 구매 계약부식제어제3120시흥도시공사경기도 시흥시 공단1대로 204, 29동 207호수의급수용방청제, 동해식품화학, HI-PHOS, 중합인산염65%상자18752580시흥도시공사시흥도시공사
9102021-01-06계림 green cleaner이상원202101020FD-002021년 상반기 공공청사 종량제봉투쓰레기봉투200시흥도시공사경기도 시흥시 은행로218번길수의쓰레기봉투, 수요기관규격매8837500시흥도시공사시흥도시공사
구분계약일자계약업체업체대표자계약번호계약명품명수량계약기관주소계약방법규격단위계약금액수요기관검사기관
2502512023-12-19국도상사김우성20231210CE6-002024년 자동차 등록번호판 봉인장치 연간 구매T볼트1시흥도시공사서울특별시 마포구 도화동수의티볼트개8411000시흥도시공사시흥도시공사
2512522023-12-20주식회사 교하박서형20231210A77-002024년 시흥그린센터 분말소석회 구매무기수산화물9000시흥도시공사경기도 안산시 단원구 목내로수의소석회kg5247000시흥도시공사시흥도시공사
2522532023-12-20주식회사 교하박서형20231210B95-002024년 시흥그린센터 순수처리시설 및 폐수처리설비 사용약품 구매무기수산화물1시흥도시공사경기도 안산시 단원구 목내로수의소석회kg32391970시흥도시공사시흥도시공사
2532542023-12-21주식회사 한양실업이교식20231212123-002024년 자동차번호판 제작재료 원판(알루미늄) 단가 구매금속명판1시흥도시공사경기도 부천시 신흥로438번길제한경쟁차량번호판개204209730시흥도시공사시흥도시공사
2542552023-12-21경기도장애인생산품판매시설원부규202312122B9-002024년 시흥도시공사 작업복 통합구매남성용외투1시흥도시공사경기도 수원시 권선구 서수원로수의잠바, 기타물품포함, 수요기관규격식56260000시흥도시공사시흥도시공사
2552562023-12-22건국우유소래대리점이상경202312101EF-002024년 현장근무자 간식(우유) 구매생우유또는버터제품1시흥도시공사경기도 시흥시 하중로수의생우유개8279000시흥도시공사시흥도시공사
2562572023-12-26우주스틸 주식회사황경월2023120B7CE-002024년 환경미화타운 결속철선(경강선) 제작 및 구매경강선1시흥도시공사경상남도 김해시 진례면 고모로582번길수의경강선kg20350000시흥도시공사시흥도시공사
2572582023-12-29주식회사 화인씨앤아이길문범2023320645C-002024년 시흥그린센터 암모니아수 구매무기수산화물171600시흥도시공사경기도 성남시 분당구 성남대로제한경쟁암모니아수kg126560140시흥도시공사시흥도시공사
2582592023-12-29원석사홍원석2023320815B-002024년 시흥그린센터 액상소석회 구매 (단가계약)무기수산화물6372000시흥도시공사경기도 김포시 풍무로제한경쟁소석회kg358679880시흥도시공사시흥도시공사
2592602023-12-29(주)대열보일러신국호20233208318-002024년 시흥도시공사 청관제 통합 구매연관보일러1시흥도시공사충청남도 서산시 지곡면 무장산업로수의연관보일러, 수요기관규격, 노통연관보일러대12705000시흥도시공사시흥도시공사