Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Categorical3
Text2
Numeric1
DateTime1

Dataset

Description전북특별자치도 김제시의 계약정보 입니다. 부서명, 계약명, 계약금액, 계약일, 계약상대자, 구분, 계약정보를 포함하고 있습니다.
Author전북특별자치도 김제시
URLhttps://www.data.go.kr/data/15068786/fileData.do

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
부서명 is highly imbalanced (62.3%)Imbalance

Reproduction

Analysis started2024-03-15 01:14:51.357098
Analysis finished2024-03-15 01:14:54.145946
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
7336 
보건소
955 
농업기술센터
 
634
교월동
 
86
용지면
 
74
Other values (18)
915 

Length

Max length6
Median length2
Mean length2.4568
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
본청 7336
73.4%
보건소 955
 
9.6%
농업기술센터 634
 
6.3%
교월동 86
 
0.9%
용지면 74
 
0.7%
성덕면 67
 
0.7%
만경읍 64
 
0.6%
백구면 63
 
0.6%
금구면 63
 
0.6%
죽산면 60
 
0.6%
Other values (13) 598
 
6.0%

Length

2024-03-15T10:14:54.420414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 7336
73.4%
보건소 955
 
9.6%
농업기술센터 634
 
6.3%
교월동 86
 
0.9%
용지면 74
 
0.7%
성덕면 67
 
0.7%
만경읍 64
 
0.6%
백구면 63
 
0.6%
금구면 63
 
0.6%
죽산면 60
 
0.6%
Other values (13) 598
 
6.0%

계약명
Text

Distinct9544
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:14:55.377188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length23.8244
Min length4

Characters and Unicode

Total characters238244
Distinct characters828
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9234 ?
Unique (%)92.3%

Sample

1st row궁도장 주차장 아스콘포장공사 아스콘 구입
2nd row진봉면 보건지소 외부도장공사
3rd row금구면 산동~낙성리 앞뜰 중앙배수로사업 이형철근 추가구입
4th row2월 드림스타트 아동 학습지지원 연계사업에 따른 학습지 구입(웅진씽크빅)
5th row농경사주제관 소방시설 보수공사
ValueCountFrequency (%)
구입 4101
 
8.4%
및 1000
 
2.0%
농로포장공사 893
 
1.8%
용역 613
 
1.2%
레미콘 565
 
1.2%
정비공사 517
 
1.1%
2019년 506
 
1.0%
외 504
 
1.0%
2020년 465
 
0.9%
배수로 436
 
0.9%
Other values (8556) 39489
80.4%
2024-03-15T10:14:56.956177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39278
 
16.5%
사 7934
 
3.3%
구 7490
 
3.1%
공 6028
 
2.5%
입 5688
 
2.4%
로 4121
 
1.7%
지 3593
 
1.5%
용 3461
 
1.5%
수 3133
 
1.3%
장 3041
 
1.3%
Other values (818) 154477
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182729
76.7%
Space Separator 39278
 
16.5%
Decimal Number 7533
 
3.2%
Close Punctuation 2860
 
1.2%
Open Punctuation 2853
 
1.2%
Uppercase Letter 1660
 
0.7%
Other Punctuation 703
 
0.3%
Math Symbol 319
 
0.1%
Dash Punctuation 169
 
0.1%
Lowercase Letter 134
 
0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 7934
 
4.3%
구 7490
 
4.1%
공 6028
 
3.3%
입 5688
 
3.1%
로 4121
 
2.3%
지 3593
 
2.0%
용 3461
 
1.9%
수 3133
 
1.7%
장 3041
 
1.7%
면 3002
 
1.6%
Other values (730) 135238
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 224
13.5%
V 207
12.5%
D 176
10.6%
P 163
9.8%
E 139
8.4%
L 121
7.3%
S 112
6.7%
T 90
 
5.4%
R 85
 
5.1%
A 82
 
4.9%
Other values (14) 261
15.7%
Lowercase Letter
ValueCountFrequency (%)
a 13
 
9.7%
p 12
 
9.0%
i 10
 
7.5%
g 10
 
7.5%
o 10
 
7.5%
v 9
 
6.7%
c 9
 
6.7%
k 8
 
6.0%
n 6
 
4.5%
e 6
 
4.5%
Other values (14) 41
30.6%
Decimal Number
ValueCountFrequency (%)
2 2417
32.1%
0 1942
25.8%
1 1631
21.7%
9 744
 
9.9%
3 308
 
4.1%
4 165
 
2.2%
5 130
 
1.7%
6 72
 
1.0%
7 64
 
0.8%
8 60
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 447
63.6%
· 65
 
9.2%
. 60
 
8.5%
' 56
 
8.0%
/ 30
 
4.3%
" 21
 
3.0%
* 17
 
2.4%
？ 4
 
0.6%
: 2
 
0.3%
; 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2703
94.5%
] 107
 
3.7%
」 42
 
1.5%
』 6
 
0.2%
］ 1
 
< 0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2696
94.5%
[ 107
 
3.8%
「 42
 
1.5%
『 6
 
0.2%
【 1
 
< 0.1%
［ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 318
99.7%
∮ 1
 
0.3%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Space Separator
ValueCountFrequency (%)
39278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182729
76.7%
Common 53721
 
22.5%
Latin 1794
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 7934
 
4.3%
구 7490
 
4.1%
공 6028
 
3.3%
입 5688
 
3.1%
로 4121
 
2.3%
지 3593
 
2.0%
용 3461
 
1.9%
수 3133
 
1.7%
장 3041
 
1.7%
면 3002
 
1.6%
Other values (730) 135238
74.0%
Latin
ValueCountFrequency (%)
C 224
12.5%
V 207
11.5%
D 176
9.8%
P 163
9.1%
E 139
 
7.7%
L 121
 
6.7%
S 112
 
6.2%
T 90
 
5.0%
R 85
 
4.7%
A 82
 
4.6%
Other values (38) 395
22.0%
Common
ValueCountFrequency (%)
39278
73.1%
) 2703
 
5.0%
( 2696
 
5.0%
2 2417
 
4.5%
0 1942
 
3.6%
1 1631
 
3.0%
9 744
 
1.4%
, 447
 
0.8%
~ 318
 
0.6%
3 308
 
0.6%
Other values (30) 1237
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182726
76.7%
ASCII 55340
 
23.2%
None 169
 
0.1%
Punctuation 5
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39278
71.0%
) 2703
 
4.9%
( 2696
 
4.9%
2 2417
 
4.4%
0 1942
 
3.5%
1 1631
 
2.9%
9 744
 
1.3%
, 447
 
0.8%
~ 318
 
0.6%
3 308
 
0.6%
Other values (64) 2856
 
5.2%
Hangul
ValueCountFrequency (%)
사 7934
 
4.3%
구 7490
 
4.1%
공 6028
 
3.3%
입 5688
 
3.1%
로 4121
 
2.3%
지 3593
 
2.0%
용 3461
 
1.9%
수 3133
 
1.7%
장 3041
 
1.7%
면 3002
 
1.6%
Other values (728) 135235
74.0%
None
ValueCountFrequency (%)
· 65
38.5%
」 42
24.9%
「 42
24.9%
『 6
 
3.6%
』 6
 
3.6%
？ 4
 
2.4%
【 1
 
0.6%
］ 1
 
0.6%
［ 1
 
0.6%
】 1
 
0.6%
Punctuation
ValueCountFrequency (%)
‘ 2
40.0%
’ 2
40.0%
” 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅔ 1
33.3%
Math Operators
ValueCountFrequency (%)
∮ 1
100.0%

계약금액
Real number (ℝ)

Distinct7588
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25733525
Minimum0
Maximum3.8004 × 109
Zeros54
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:14:57.450845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500000
Q12699245
median9185500
Q320693500
95-th percentile84429600
Maximum3.8004 × 109
Range3.8004 × 109
Interquartile range (IQR)17994255

Descriptive statistics

Standard deviation98629839
Coefficient of variation (CV)3.8327372
Kurtosis516.07467
Mean25733525
Median Absolute Deviation (MAD)7574300
Skewness19.565383
Sum2.5733525 × 1011
Variance9.7278452 × 1015
MonotonicityNot monotonic
2024-03-15T10:14:58.235651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
0.5%
12674000 40
 
0.4%
19000000 40
 
0.4%
1980000 36
 
0.4%
1000000 26
 
0.3%
9500000 26
 
0.3%
1500000 25
 
0.2%
3000000 22
 
0.2%
9928000 21
 
0.2%
1800000 21
 
0.2%
Other values (7578) 9689
96.9%
ValueCountFrequency (%)
0 54
0.5%
5040 1
 
< 0.1%
8060 1
 
< 0.1%
15000 1
 
< 0.1%
29240 1
 
< 0.1%
30200 1
 
< 0.1%
33000 1
 
< 0.1%
36000 1
 
< 0.1%
38500 1
 
< 0.1%
41800 1
 
< 0.1%
ValueCountFrequency (%)
3800400000 1
< 0.1%
2965088800 1
< 0.1%
2510439000 1
< 0.1%
2445866000 1
< 0.1%
2274000000 1
< 0.1%
2183800000 1
< 0.1%
2167106000 1
< 0.1%
2140553530 1
< 0.1%
2119388000 1
< 0.1%
1702510000 1
< 0.1%

계약일
Date

Distinct409
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-01 00:00:00
Maximum2020-06-30 00:00:00
2024-03-15T10:14:58.762103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:14:59.188964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct2071
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:15:00.478672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.7175
Min length2

Characters and Unicode

Total characters77175
Distinct characters597
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1033 ?
Unique (%)10.3%

Sample

1st row전북서남아스콘사업협동조합
2nd row(주)삼우도장건설
3rd row한국제강주식회사
4th row(주)웅진씽크빅
5th row(유)삼성방재
ValueCountFrequency (%)
전라북도레미콘공업협동조합 608
 
5.4%
주식회사 572
 
5.1%
전북지방조달청 427
 
3.8%
유한회사 286
 
2.6%
전북서남아스콘사업협동조합 189
 
1.7%
유)삼흥산업 145
 
1.3%
주)대인 143
 
1.3%
유)에스에스산업 143
 
1.3%
주)삼진라인 128
 
1.1%
주)삼정디씨피 107
 
1.0%
Other values (2125) 8449
75.5%
2024-03-15T10:15:02.080207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 4926
 
6.4%
( 4904
 
6.4%
주 3336
 
4.3%
유 3002
 
3.9%
사 1981
 
2.6%
업 1934
 
2.5%
전 1928
 
2.5%
건 1583
 
2.1%
조 1536
 
2.0%
북 1336
 
1.7%
Other values (587) 50709
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65573
85.0%
Close Punctuation 4926
 
6.4%
Open Punctuation 4904
 
6.4%
Space Separator 1198
 
1.6%
Uppercase Letter 309
 
0.4%
Decimal Number 155
 
0.2%
Other Punctuation 52
 
0.1%
Lowercase Letter 43
 
0.1%
Math Symbol 10
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3336
 
5.1%
유 3002
 
4.6%
사 1981
 
3.0%
업 1934
 
2.9%
전 1928
 
2.9%
건 1583
 
2.4%
조 1536
 
2.3%
북 1336
 
2.0%
설 1274
 
1.9%
산 1191
 
1.8%
Other values (532) 46472
70.9%
Uppercase Letter
ValueCountFrequency (%)
A 77
24.9%
O 63
20.4%
K 22
 
7.1%
J 22
 
7.1%
C 18
 
5.8%
S 17
 
5.5%
G 13
 
4.2%
E 11
 
3.6%
N 9
 
2.9%
T 9
 
2.9%
Other values (10) 48
15.5%
Lowercase Letter
ValueCountFrequency (%)
s 7
16.3%
o 6
14.0%
t 4
9.3%
e 3
7.0%
h 3
7.0%
p 3
7.0%
i 3
7.0%
k 3
7.0%
c 2
 
4.7%
r 2
 
4.7%
Other values (6) 7
16.3%
Decimal Number
ValueCountFrequency (%)
3 41
26.5%
5 37
23.9%
6 36
23.2%
2 20
12.9%
1 18
11.6%
9 1
 
0.6%
8 1
 
0.6%
0 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 36
69.2%
, 8
 
15.4%
& 8
 
15.4%
Math Symbol
ValueCountFrequency (%)
< 5
50.0%
> 5
50.0%
Close Punctuation
ValueCountFrequency (%)
) 4926
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4904
100.0%
Space Separator
ValueCountFrequency (%)
1198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65575
85.0%
Common 11248
 
14.6%
Latin 352
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3336
 
5.1%
유 3002
 
4.6%
사 1981
 
3.0%
업 1934
 
2.9%
전 1928
 
2.9%
건 1583
 
2.4%
조 1536
 
2.3%
북 1336
 
2.0%
설 1274
 
1.9%
산 1191
 
1.8%
Other values (533) 46474
70.9%
Latin
ValueCountFrequency (%)
A 77
21.9%
O 63
17.9%
K 22
 
6.2%
J 22
 
6.2%
C 18
 
5.1%
S 17
 
4.8%
G 13
 
3.7%
E 11
 
3.1%
N 9
 
2.6%
T 9
 
2.6%
Other values (26) 91
25.9%
Common
ValueCountFrequency (%)
) 4926
43.8%
( 4904
43.6%
1198
 
10.7%
3 41
 
0.4%
5 37
 
0.3%
6 36
 
0.3%
. 36
 
0.3%
2 20
 
0.2%
1 18
 
0.2%
, 8
 
0.1%
Other values (8) 24
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65573
85.0%
ASCII 11600
 
15.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 4926
42.5%
( 4904
42.3%
1198
 
10.3%
A 77
 
0.7%
O 63
 
0.5%
3 41
 
0.4%
5 37
 
0.3%
6 36
 
0.3%
. 36
 
0.3%
K 22
 
0.2%
Other values (44) 260
 
2.2%
Hangul
ValueCountFrequency (%)
주 3336
 
5.1%
유 3002
 
4.6%
사 1981
 
3.0%
업 1934
 
2.9%
전 1928
 
2.9%
건 1583
 
2.4%
조 1536
 
2.3%
북 1336
 
2.0%
설 1274
 
1.9%
산 1191
 
1.8%
Other values (532) 46472
70.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
5884 
공사
2535 
용역
1581 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 5884
58.8%
공사 2535
25.4%
용역 1581
 
15.8%

Length

2024-03-15T10:15:02.318100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:15:02.490232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 5884
58.8%
공사 2535
25.4%
용역 1581
 
15.8%

계약종류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의
6556 
일반
3444 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의 6556
65.6%
일반 3444
34.4%

Length

2024-03-15T10:15:02.675920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:15:02.994778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의 6556
65.6%
일반 3444
34.4%

Interactions

2024-03-15T10:14:53.115303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:15:03.186995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서명계약금액구분계약종류
부서명1.0000.0000.2580.254
계약금액0.0001.0000.1290.078
구분0.2580.1291.0000.293
계약종류0.2540.0780.2931.000
2024-03-15T10:15:03.355083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분부서명계약종류
구분1.0000.1380.474
부서명0.1381.0000.221
계약종류0.4740.2211.000
2024-03-15T10:15:03.505665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액부서명구분계약종류
계약금액1.0000.0000.0560.078
부서명0.0001.0000.1380.221
구분0.0560.1381.0000.474
계약종류0.0780.2210.4741.000

Missing values

2024-03-15T10:14:53.520524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:14:53.964838image/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

부서명계약명계약금액계약일계약상대자구분계약종류
10296본청궁도장 주차장 아스콘포장공사 아스콘 구입336410602020-02-07전북서남아스콘사업협동조합물품일반
8423보건소진봉면 보건지소 외부도장공사23900002019-11-01(주)삼우도장건설용역수의
10064본청금구면 산동~낙성리 앞뜰 중앙배수로사업 이형철근 추가구입16903502020-02-17한국제강주식회사물품일반
1782본청2월 드림스타트 아동 학습지지원 연계사업에 따른 학습지 구입(웅진씽크빅)1420002019-02-01(주)웅진씽크빅물품수의
380본청농경사주제관 소방시설 보수공사12950002019-09-19(유)삼성방재공사수의
1958죽산면죽산면 종남마을 농로포장공사210490002019-03-15(유)성주건설공사수의
1182본청공공계약 법규 및 실무 책자 구입1960002019-09-24도서출판광문각물품수의
1873본청청하면 청하산마을 정비사업 레미콘 구입47187002019-08-13전라북도레미콘공업협동조합물품일반
5541요촌동흥사동 도로 보수 공사 계약 체결59040002019-07-03(유)학강공사수의
5525보건소묘동보건진료소 보일러 수리3355002019-06-12한진보일러용역수의
부서명계약명계약금액계약일계약상대자구분계약종류
412본청생활민원처리 단가계약공사 (3차, 백산면 외 5개면동)665500002019-10-02(유)덕성건설공사수의
7383본청8월 드림스타트 아동 학습지 지원 연계 사업에 따른 학습지 구입1140002019-08-07(주)웅진씽크빅물품수의
6325부량면부량면 대성 농로 갓길포장공사 계약77240002019-12-20(유)성주건설공사수의
2404본청황산면 매산, 남산 농로포장 및 배수로 정비공사 용접철망 구입14544002019-04-01(주)삼진라인물품일반
6631보건소자살예방 인식개선 홍보를 위한 물품 구입96000002019-07-25정만철물품수의
6520본청금구면 대율양수장 보수공사83600002019-07-22용암지하수공사수의
3234본청청사 기계실 모터 및 펌프 수리6000002019-05-08호남전업사물품수의
8951보건소치매극복의 날 주간행사 홍보물품 구입 계약85500002019-09-11대한유통물품수의
1702본청마을주민보호구역 조성사업 공사 미끄럼방지포장구입(선고지)358400002019-12-05(주)태산도장건설물품일반
2099농업기술센터돼지소모성질병(PRRS) 예방약품 구입(ES/유니스트레인-PRRS)51030002019-11-07주식회사 나우수의그룹물품일반

Duplicate rows

Most frequently occurring

부서명계약명계약금액계약일계약상대자구분계약종류# duplicates
0보건소방문건강관리사업 추진에 따른 임차 계약 결과보고50402002020-01-30SK렌터카(주)용역수의2
1본청검산동 용곳 농수로 개선사업 이형철근 구입11384802020-01-07한국제강주식회사물품일반2
2본청민방위경보시설 설계용품 구입4320002019-07-15한솔문구 사무기기물품수의2