Overview

Dataset statistics

Number of variables7
Number of observations6108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory346.1 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description보령시에서 물품을 수의 계약한 정보(관서명, 계약방법 ,계약명, 계약금액, 계약일, 계약상대자)에 관한 현황입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=327&beforeMenuCd=DOM_000000201001001000&publicdatapk=15090077

Alerts

계약방법 has constant value ""Constant
관서명 is highly imbalanced (56.4%)Imbalance
계약금액 is highly skewed (γ1 = 74.73702111)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:41:31.569976
Analysis finished2024-01-09 20:41:32.942507
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct6108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3054.5
Minimum1
Maximum6108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2024-01-10T05:41:33.016400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile306.35
Q11527.75
median3054.5
Q34581.25
95-th percentile5802.65
Maximum6108
Range6107
Interquartile range (IQR)3053.5

Descriptive statistics

Standard deviation1763.3721
Coefficient of variation (CV)0.57730301
Kurtosis-1.2
Mean3054.5
Median Absolute Deviation (MAD)1527
Skewness0
Sum18656886
Variance3109481
MonotonicityStrictly increasing
2024-01-10T05:41:33.150797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4071 1
 
< 0.1%
4080 1
 
< 0.1%
4079 1
 
< 0.1%
4078 1
 
< 0.1%
4077 1
 
< 0.1%
4076 1
 
< 0.1%
4075 1
 
< 0.1%
4074 1
 
< 0.1%
4073 1
 
< 0.1%
Other values (6098) 6098
99.8%
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 (%)
6108 1
< 0.1%
6107 1
< 0.1%
6106 1
< 0.1%
6105 1
< 0.1%
6104 1
< 0.1%
6103 1
< 0.1%
6102 1
< 0.1%
6101 1
< 0.1%
6100 1
< 0.1%
6099 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size47.8 KiB
본청
4036 
보건소
1022 
농업기술센터
 
155
남포면
 
120
천북면
 
104
Other values (17)
671 

Length

Max length9
Median length2
Mean length2.5571382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 4036
66.1%
보건소 1022
 
16.7%
농업기술센터 155
 
2.5%
남포면 120
 
2.0%
천북면 104
 
1.7%
문화체육관리사업소 101
 
1.7%
대천2동 63
 
1.0%
주산면 62
 
1.0%
대천3동 53
 
0.9%
오천면 52
 
0.9%
Other values (12) 340
 
5.6%

Length

2024-01-10T05:41:33.301970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 4036
66.1%
보건소 1022
 
16.7%
농업기술센터 155
 
2.5%
남포면 120
 
2.0%
천북면 104
 
1.7%
문화체육관리사업소 101
 
1.7%
대천2동 63
 
1.0%
주산면 62
 
1.0%
대천3동 53
 
0.9%
오천면 52
 
0.9%
Other values (12) 340
 
5.6%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.8 KiB
수의1인견적
6108 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 6108
100.0%

Length

2024-01-10T05:41:33.404845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:41:33.488320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 6108
100.0%

계약명
Text

Distinct5601
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size47.8 KiB
2024-01-10T05:41:33.673653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length19.851506
Min length3

Characters and Unicode

Total characters121253
Distinct characters829
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5262 ?
Unique (%)86.1%

Sample

1st row방문보건사업운영 기자재 구입
2nd row생명사랑 행복마을 도자기공예 재료 구입
3rd row장애인 재활사업 의료기자재 물품구입
4th row2022년 자살 유족 원스톱 서비스 물품 구입(폴리글러브)
5th row생명사랑 행복마을 원예교실 재료 구입
ValueCountFrequency (%)
구입 2621
 
10.7%
및 457
 
1.9%
제작 445
 
1.8%
설치 302
 
1.2%
관급자재 222
 
0.9%
등 216
 
0.9%
물품 144
 
0.6%
인쇄 114
 
0.5%
운영 110
 
0.4%
홍보물품 106
 
0.4%
Other values (7194) 19840
80.7%
2024-01-10T05:41:34.039960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18470
 
15.2%
구 4570
 
3.8%
입 3856
 
3.2%
( 2145
 
1.8%
) 2142
 
1.8%
관 2064
 
1.7%
사 1884
 
1.6%
자 1705
 
1.4%
기 1597
 
1.3%
제 1504
 
1.2%
Other values (819) 81316
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92005
75.9%
Space Separator 18470
 
15.2%
Decimal Number 3763
 
3.1%
Open Punctuation 2320
 
1.9%
Close Punctuation 2316
 
1.9%
Uppercase Letter 1269
 
1.0%
Other Punctuation 431
 
0.4%
Connector Punctuation 276
 
0.2%
Dash Punctuation 236
 
0.2%
Lowercase Letter 145
 
0.1%
Other values (3) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4570
 
5.0%
입 3856
 
4.2%
관 2064
 
2.2%
사 1884
 
2.0%
자 1705
 
1.9%
기 1597
 
1.7%
제 1504
 
1.6%
보 1495
 
1.6%
공 1413
 
1.5%
도 1351
 
1.5%
Other values (738) 70566
76.7%
Uppercase Letter
ValueCountFrequency (%)
C 227
17.9%
D 155
12.2%
V 136
10.7%
T 136
10.7%
B 84
 
6.6%
E 72
 
5.7%
P 70
 
5.5%
I 61
 
4.8%
L 59
 
4.6%
A 42
 
3.3%
Other values (14) 227
17.9%
Lowercase Letter
ValueCountFrequency (%)
ℓ 23
15.9%
e 18
12.4%
c 15
 
10.3%
v 9
 
6.2%
l 9
 
6.2%
t 7
 
4.8%
p 6
 
4.1%
a 6
 
4.1%
d 6
 
4.1%
m 6
 
4.1%
Other values (14) 40
27.6%
Decimal Number
ValueCountFrequency (%)
2 1197
31.8%
1 797
21.2%
0 683
18.2%
3 305
 
8.1%
4 163
 
4.3%
9 156
 
4.1%
5 148
 
3.9%
6 118
 
3.1%
7 111
 
2.9%
8 85
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 325
75.4%
. 44
 
10.2%
· 30
 
7.0%
" 16
 
3.7%
/ 11
 
2.6%
* 4
 
0.9%
; 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2145
92.5%
[ 159
 
6.9%
『 13
 
0.6%
「 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2142
92.5%
] 158
 
6.8%
』 13
 
0.6%
」 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 10
50.0%
~ 9
45.0%
∼ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
18470
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92002
75.9%
Common 27856
 
23.0%
Latin 1392
 
1.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4570
 
5.0%
입 3856
 
4.2%
관 2064
 
2.2%
사 1884
 
2.0%
자 1705
 
1.9%
기 1597
 
1.7%
제 1504
 
1.6%
보 1495
 
1.6%
공 1413
 
1.5%
도 1351
 
1.5%
Other values (737) 70563
76.7%
Latin
ValueCountFrequency (%)
C 227
16.3%
D 155
11.1%
V 136
 
9.8%
T 136
 
9.8%
B 84
 
6.0%
E 72
 
5.2%
P 70
 
5.0%
I 61
 
4.4%
L 59
 
4.2%
A 42
 
3.0%
Other values (38) 350
25.1%
Common
ValueCountFrequency (%)
18470
66.3%
( 2145
 
7.7%
) 2142
 
7.7%
2 1197
 
4.3%
1 797
 
2.9%
0 683
 
2.5%
, 325
 
1.2%
3 305
 
1.1%
_ 276
 
1.0%
- 236
 
0.8%
Other values (23) 1280
 
4.6%
Han
ValueCountFrequency (%)
愛 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92002
75.9%
ASCII 29160
 
24.0%
None 62
 
0.1%
Letterlike Symbols 23
 
< 0.1%
CJK 3
 
< 0.1%
CJK Compat 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18470
63.3%
( 2145
 
7.4%
) 2142
 
7.3%
2 1197
 
4.1%
1 797
 
2.7%
0 683
 
2.3%
, 325
 
1.1%
3 305
 
1.0%
_ 276
 
0.9%
- 236
 
0.8%
Other values (62) 2584
 
8.9%
Hangul
ValueCountFrequency (%)
구 4570
 
5.0%
입 3856
 
4.2%
관 2064
 
2.2%
사 1884
 
2.0%
자 1705
 
1.9%
기 1597
 
1.7%
제 1504
 
1.6%
보 1495
 
1.6%
공 1413
 
1.5%
도 1351
 
1.5%
Other values (737) 70563
76.7%
None
ValueCountFrequency (%)
· 30
48.4%
』 13
21.0%
『 13
21.0%
「 3
 
4.8%
」 3
 
4.8%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 23
100.0%
CJK
ValueCountFrequency (%)
愛 3
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct3748
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14020129
Minimum29880
Maximum1.256075 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2024-01-10T05:41:34.176536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29880
5-th percentile700000
Q12837555
median5775000
Q311703545
95-th percentile37737000
Maximum1.256075 × 1010
Range1.256072 × 1010
Interquartile range (IQR)8865990

Descriptive statistics

Standard deviation1.6302054 × 108
Coefficient of variation (CV)11.627606
Kurtosis5748.3345
Mean14020129
Median Absolute Deviation (MAD)3624500
Skewness74.737021
Sum8.5634947 × 1010
Variance2.6575696 × 1016
MonotonicityNot monotonic
2024-01-10T05:41:34.315478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000 47
 
0.8%
3200000 43
 
0.7%
2000000 38
 
0.6%
5000000 32
 
0.5%
19800000 31
 
0.5%
18000000 30
 
0.5%
9000000 28
 
0.5%
2200000 27
 
0.4%
4500000 27
 
0.4%
4000000 26
 
0.4%
Other values (3738) 5779
94.6%
ValueCountFrequency (%)
29880 1
< 0.1%
36370 1
< 0.1%
50000 1
< 0.1%
55000 1
< 0.1%
58000 1
< 0.1%
67600 1
< 0.1%
74000 1
< 0.1%
77000 1
< 0.1%
80000 2
< 0.1%
98000 2
< 0.1%
ValueCountFrequency (%)
12560750000 1
< 0.1%
923571350 1
< 0.1%
565412000 1
< 0.1%
418446000 1
< 0.1%
411642000 1
< 0.1%
405554330 1
< 0.1%
375435000 1
< 0.1%
357435000 1
< 0.1%
330640000 1
< 0.1%
324038000 1
< 0.1%

계약일
Date

Distinct1937
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size47.8 KiB
Minimum2014-01-01 00:00:00
Maximum2022-09-22 00:00:00
2024-01-10T05:41:34.443856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:34.550632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1381
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size47.8 KiB
2024-01-10T05:41:34.808153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.6340864
Min length2

Characters and Unicode

Total characters40521
Distinct characters549
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique802 ?
Unique (%)13.1%

Sample

1st row안진팜
2nd row위드클레이
3rd row메디팜
4th row(주)플러스메디칼
5th row그리너리봄봄
ValueCountFrequency (%)
대전지방조달청 899
 
13.5%
주식회사 233
 
3.5%
주)거산 119
 
1.8%
안진팜 114
 
1.7%
자)제중약품 89
 
1.3%
동일사 88
 
1.3%
주)플러스메디칼 86
 
1.3%
리바트 84
 
1.3%
보령사무용가구 80
 
1.2%
정인문고 80
 
1.2%
Other values (1415) 4794
71.9%
2024-01-10T05:41:35.165167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1743
 
4.3%
( 1550
 
3.8%
) 1548
 
3.8%
대 1442
 
3.6%
전 1253
 
3.1%
지 1248
 
3.1%
청 1149
 
2.8%
조 1143
 
2.8%
사 1033
 
2.5%
방 1030
 
2.5%
Other values (539) 27382
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36517
90.1%
Open Punctuation 1550
 
3.8%
Close Punctuation 1548
 
3.8%
Space Separator 558
 
1.4%
Uppercase Letter 278
 
0.7%
Other Punctuation 40
 
0.1%
Lowercase Letter 13
 
< 0.1%
Decimal Number 12
 
< 0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1743
 
4.8%
대 1442
 
3.9%
전 1253
 
3.4%
지 1248
 
3.4%
청 1149
 
3.1%
조 1143
 
3.1%
사 1033
 
2.8%
방 1030
 
2.8%
달 1029
 
2.8%
이 641
 
1.8%
Other values (501) 24806
67.9%
Uppercase Letter
ValueCountFrequency (%)
N 37
13.3%
S 30
10.8%
E 28
10.1%
B 24
8.6%
G 22
7.9%
A 19
 
6.8%
C 19
 
6.8%
H 18
 
6.5%
W 17
 
6.1%
O 14
 
5.0%
Other values (10) 50
18.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
23.1%
w 3
23.1%
d 2
15.4%
n 2
15.4%
a 2
15.4%
h 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 23
57.5%
, 12
30.0%
/ 4
 
10.0%
& 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
2 10
83.3%
5 1
 
8.3%
4 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 1550
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1548
100.0%
Space Separator
ValueCountFrequency (%)
558
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36521
90.1%
Common 3709
 
9.2%
Latin 291
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1743
 
4.8%
대 1442
 
3.9%
전 1253
 
3.4%
지 1248
 
3.4%
청 1149
 
3.1%
조 1143
 
3.1%
사 1033
 
2.8%
방 1030
 
2.8%
달 1029
 
2.8%
이 641
 
1.8%
Other values (502) 24810
67.9%
Latin
ValueCountFrequency (%)
N 37
12.7%
S 30
10.3%
E 28
9.6%
B 24
 
8.2%
G 22
 
7.6%
A 19
 
6.5%
C 19
 
6.5%
H 18
 
6.2%
W 17
 
5.8%
O 14
 
4.8%
Other values (16) 63
21.6%
Common
ValueCountFrequency (%)
( 1550
41.8%
) 1548
41.7%
558
 
15.0%
. 23
 
0.6%
, 12
 
0.3%
2 10
 
0.3%
/ 4
 
0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36517
90.1%
ASCII 4000
 
9.9%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1743
 
4.8%
대 1442
 
3.9%
전 1253
 
3.4%
지 1248
 
3.4%
청 1149
 
3.1%
조 1143
 
3.1%
사 1033
 
2.8%
방 1030
 
2.8%
달 1029
 
2.8%
이 641
 
1.8%
Other values (501) 24806
67.9%
ASCII
ValueCountFrequency (%)
( 1550
38.8%
) 1548
38.7%
558
 
14.0%
N 37
 
0.9%
S 30
 
0.8%
E 28
 
0.7%
B 24
 
0.6%
. 23
 
0.6%
G 22
 
0.5%
A 19
 
0.5%
Other values (27) 161
 
4.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

Interactions

2024-01-10T05:41:32.564759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:32.375107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:32.664043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:32.457700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:41:35.256368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.4180.000
관서명0.4181.0000.000
계약금액0.0000.0001.000
2024-01-10T05:41:35.334717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.000-0.1010.168
계약금액-0.1011.0000.000
관서명0.1680.0001.000

Missing values

2024-01-10T05:41:32.780245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:41:32.883415image/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
01보건소수의1인견적방문보건사업운영 기자재 구입38530002022-09-22안진팜
12보건소수의1인견적생명사랑 행복마을 도자기공예 재료 구입24450002022-09-22위드클레이
23보건소수의1인견적장애인 재활사업 의료기자재 물품구입59720002022-09-22메디팜
34보건소수의1인견적2022년 자살 유족 원스톱 서비스 물품 구입(폴리글러브)20185002022-09-21(주)플러스메디칼
45보건소수의1인견적생명사랑 행복마을 원예교실 재료 구입31050002022-09-21그리너리봄봄
56보건소수의1인견적아토피 천식 안심학교 보습제 구입51282002022-09-21(주)아모레퍼시픽
67보건소수의1인견적정신건강복지센터 아동 청소년 등록 대상자 영양제 구입51300002022-09-21파파메디
78보건소수의1인견적건강관리사업 교육자료 제작29040002022-09-21하늘문고
89의회사무국수의1인견적전문위원실 가구(응접세트)구입6630002022-09-21하우스틸
910보건소수의1인견적방문보건사업 홍보물품구입47210002022-09-21안진팜
번호관서명계약방법계약명계약금액계약일계약상대자
60986099본청수의1인견적행정업무용 소프트웨어 구입496011002014-01-08조달청
60996100본청수의1인견적세외수입 납부지원 콜센터 운영위한 사무용품 구입(책상1,의자1)5050002014-01-08동일사
61006101대천3동수의1인견적주민자치센터 집기비품 구입91900002014-01-07대전지방조달청
61016102본청수의1인견적전자회의용 L2스위치 구입20658002014-01-07(주)케이티
61026103본청수의1인견적종량제 규격봉투(음식물-20,재사용20)제작117511102014-01-06조달청
61036104본청수의1인견적종량제 규격봉투(일반-100ℓ) 제작74922402014-01-03조달청
61046105본청수의1인견적장고도 위생매립장 음식물 쓰레기 처리기 구입139713002014-01-03조달청
61056106본청수의1인견적세외수입콜센터운영위한 컴퓨터 구입27145802014-01-03조달청
61066107본청수의1인견적2014년 재가복지 밑반찬 재료비201600002014-01-01대천농업협동조합
61076108본청수의1인견적2014년 방과후공부방 아동 석식 식자재 구입374400002014-01-01대천농업협동조합