Overview

Dataset statistics

Number of variables7
Number of observations9771
Missing cells35
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory553.6 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description보령시에서 공사를 계약한 정보(관서명, 계약방법 ,계약명, 계약금액, 계약일, 계약상대자)에 관한 현황입니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15090109/fileData.do

Alerts

관서명 is highly imbalanced (52.7%)Imbalance
계약방법 is highly imbalanced (64.9%)Imbalance
계약금액 is highly skewed (γ1 = 69.58467516)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:23:01.648006
Analysis finished2024-04-21 12:23:04.771657
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9771
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4886
Minimum1
Maximum9771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.0 KiB
2024-04-21T21:23:04.983659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile489.5
Q12443.5
median4886
Q37328.5
95-th percentile9282.5
Maximum9771
Range9770
Interquartile range (IQR)4885

Descriptive statistics

Standard deviation2820.7891
Coefficient of variation (CV)0.57732073
Kurtosis-1.2
Mean4886
Median Absolute Deviation (MAD)2443
Skewness0
Sum47741106
Variance7956851
MonotonicityStrictly increasing
2024-04-21T21:23:05.415224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6518 1
 
< 0.1%
6511 1
 
< 0.1%
6512 1
 
< 0.1%
6513 1
 
< 0.1%
6514 1
 
< 0.1%
6515 1
 
< 0.1%
6516 1
 
< 0.1%
6517 1
 
< 0.1%
6519 1
 
< 0.1%
Other values (9761) 9761
99.9%
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 (%)
9771 1
< 0.1%
9770 1
< 0.1%
9769 1
< 0.1%
9768 1
< 0.1%
9767 1
< 0.1%
9766 1
< 0.1%
9765 1
< 0.1%
9764 1
< 0.1%
9763 1
< 0.1%
9762 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
본청
6039 
보건소
1396 
농업기술센터
898 
남포면
 
178
천북면
 
173
Other values (18)
1087 

Length

Max length9
Median length2
Mean length2.778733
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 6039
61.8%
보건소 1396
 
14.3%
농업기술센터 898
 
9.2%
남포면 178
 
1.8%
천북면 173
 
1.8%
대천3동 154
 
1.6%
문화체육관리사업소 108
 
1.1%
대천2동 94
 
1.0%
오천면 90
 
0.9%
성주면 87
 
0.9%
Other values (13) 554
 
5.7%

Length

2024-04-21T21:23:05.848726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 6039
61.8%
보건소 1396
 
14.3%
농업기술센터 898
 
9.2%
남포면 178
 
1.8%
천북면 173
 
1.8%
대천3동 154
 
1.6%
문화체육관리사업소 108
 
1.1%
대천2동 94
 
1.0%
오천면 90
 
0.9%
성주면 87
 
0.9%
Other values (13) 554
 
5.7%

계약방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
수의1인견적
8236 
일반경쟁
1083 
수의2인이상견적
 
260
제한경쟁
 
182
지명경쟁
 
10

Length

Max length8
Median length6
Mean length5.7922423
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 8236
84.3%
일반경쟁 1083
 
11.1%
수의2인이상견적 260
 
2.7%
제한경쟁 182
 
1.9%
지명경쟁 10
 
0.1%

Length

2024-04-21T21:23:06.269319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:23:06.608726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 8236
84.3%
일반경쟁 1083
 
11.1%
수의2인이상견적 260
 
2.7%
제한경쟁 182
 
1.9%
지명경쟁 10
 
0.1%

계약명
Text

Distinct8877
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2024-04-21T21:23:07.463317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length20.960598
Min length3

Characters and Unicode

Total characters204806
Distinct characters892
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8324 ?
Unique (%)85.2%

Sample

1st row2014년 방과후공부방 아동 석식 식자재 구입
2nd row2014년 재가복지 밑반찬 재료비
3rd row세외수입콜센터운영위한 컴퓨터 구입
4th row장고도 위생매립장 음식물 쓰레기 처리기 구입
5th row종량제 규격봉투(일반-100ℓ) 제작
ValueCountFrequency (%)
구입 3937
 
9.8%
및 738
 
1.8%
제작 602
 
1.5%
관급자재 545
 
1.4%
설치 487
 
1.2%
등 307
 
0.8%
물품 228
 
0.6%
운영 201
 
0.5%
백신 188
 
0.5%
설치공사 178
 
0.4%
Other values (10454) 32777
81.6%
2024-04-21T21:23:08.825000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30418
 
14.9%
구 7430
 
3.6%
입 6286
 
3.1%
( 4401
 
2.1%
) 4396
 
2.1%
사 3425
 
1.7%
관 3402
 
1.7%
자 3009
 
1.5%
기 2685
 
1.3%
공 2467
 
1.2%
Other values (882) 136887
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153509
75.0%
Space Separator 30418
 
14.9%
Decimal Number 6619
 
3.2%
Open Punctuation 4840
 
2.4%
Close Punctuation 4830
 
2.4%
Uppercase Letter 2356
 
1.2%
Other Punctuation 839
 
0.4%
Dash Punctuation 672
 
0.3%
Lowercase Letter 339
 
0.2%
Connector Punctuation 331
 
0.2%
Other values (4) 53
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7430
 
4.8%
입 6286
 
4.1%
사 3425
 
2.2%
관 3402
 
2.2%
자 3009
 
2.0%
기 2685
 
1.7%
공 2467
 
1.6%
재 2456
 
1.6%
보 2354
 
1.5%
제 2244
 
1.5%
Other values (795) 117751
76.7%
Lowercase Letter
ValueCountFrequency (%)
ℓ 65
19.2%
e 53
15.6%
d 24
 
7.1%
l 23
 
6.8%
o 18
 
5.3%
c 17
 
5.0%
a 15
 
4.4%
i 14
 
4.1%
v 14
 
4.1%
p 13
 
3.8%
Other values (15) 83
24.5%
Uppercase Letter
ValueCountFrequency (%)
C 305
12.9%
D 288
12.2%
T 208
 
8.8%
V 203
 
8.6%
E 181
 
7.7%
P 133
 
5.6%
I 128
 
5.4%
B 128
 
5.4%
M 113
 
4.8%
N 101
 
4.3%
Other values (14) 568
24.1%
Decimal Number
ValueCountFrequency (%)
2 2224
33.6%
0 1241
18.7%
1 1236
18.7%
3 601
 
9.1%
4 297
 
4.5%
5 262
 
4.0%
9 217
 
3.3%
6 208
 
3.1%
7 178
 
2.7%
8 155
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 647
77.1%
. 79
 
9.4%
· 61
 
7.3%
/ 23
 
2.7%
" 19
 
2.3%
* 6
 
0.7%
% 2
 
0.2%
: 1
 
0.1%
; 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4401
90.9%
[ 413
 
8.5%
『 16
 
0.3%
「 7
 
0.1%
【 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4396
91.0%
] 408
 
8.4%
』 16
 
0.3%
」 7
 
0.1%
】 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 30
60.0%
+ 19
38.0%
∼ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
30418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 672
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 331
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153506
75.0%
Common 48666
 
23.8%
Latin 2631
 
1.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7430
 
4.8%
입 6286
 
4.1%
사 3425
 
2.2%
관 3402
 
2.2%
자 3009
 
2.0%
기 2685
 
1.7%
공 2467
 
1.6%
재 2456
 
1.6%
보 2354
 
1.5%
제 2244
 
1.5%
Other values (794) 117748
76.7%
Latin
ValueCountFrequency (%)
C 305
 
11.6%
D 288
 
10.9%
T 208
 
7.9%
V 203
 
7.7%
E 181
 
6.9%
P 133
 
5.1%
I 128
 
4.9%
B 128
 
4.9%
M 113
 
4.3%
N 101
 
3.8%
Other values (39) 843
32.0%
Common
ValueCountFrequency (%)
30418
62.5%
( 4401
 
9.0%
) 4396
 
9.0%
2 2224
 
4.6%
0 1241
 
2.6%
1 1236
 
2.5%
- 672
 
1.4%
, 647
 
1.3%
3 601
 
1.2%
[ 413
 
0.8%
Other values (28) 2417
 
5.0%
Han
ValueCountFrequency (%)
愛 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153506
75.0%
ASCII 51115
 
25.0%
None 113
 
0.1%
Letterlike Symbols 65
 
< 0.1%
CJK 3
 
< 0.1%
Math Operators 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30418
59.5%
( 4401
 
8.6%
) 4396
 
8.6%
2 2224
 
4.4%
0 1241
 
2.4%
1 1236
 
2.4%
- 672
 
1.3%
, 647
 
1.3%
3 601
 
1.2%
[ 413
 
0.8%
Other values (65) 4866
 
9.5%
Hangul
ValueCountFrequency (%)
구 7430
 
4.8%
입 6286
 
4.1%
사 3425
 
2.2%
관 3402
 
2.2%
자 3009
 
2.0%
기 2685
 
1.7%
공 2467
 
1.6%
재 2456
 
1.6%
보 2354
 
1.5%
제 2244
 
1.5%
Other values (794) 117748
76.7%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 65
100.0%
None
ValueCountFrequency (%)
· 61
54.0%
『 16
 
14.2%
』 16
 
14.2%
」 7
 
6.2%
「 7
 
6.2%
】 3
 
2.7%
【 3
 
2.7%
CJK
ValueCountFrequency (%)
愛 3
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct6197
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21062721
Minimum29880
Maximum1.256075 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.0 KiB
2024-04-21T21:23:09.240993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29880
5-th percentile720000
Q12980000
median6668000
Q315853185
95-th percentile72799785
Maximum1.256075 × 1010
Range1.256072 × 1010
Interquartile range (IQR)12873185

Descriptive statistics

Standard deviation1.4384726 × 108
Coefficient of variation (CV)6.8294718
Kurtosis5932.6945
Mean21062721
Median Absolute Deviation (MAD)4488610
Skewness69.584675
Sum2.0580385 × 1011
Variance2.0692034 × 1016
MonotonicityNot monotonic
2024-04-21T21:23:09.702289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000 60
 
0.6%
2000000 47
 
0.5%
3200000 46
 
0.5%
19800000 46
 
0.5%
5000000 43
 
0.4%
18000000 41
 
0.4%
6000000 36
 
0.4%
9000000 32
 
0.3%
2200000 32
 
0.3%
5700000 29
 
0.3%
Other values (6187) 9359
95.8%
ValueCountFrequency (%)
29880 1
< 0.1%
36370 1
< 0.1%
48220 1
< 0.1%
50000 1
< 0.1%
55000 1
< 0.1%
55290 2
< 0.1%
58000 1
< 0.1%
67600 1
< 0.1%
74000 1
< 0.1%
77000 1
< 0.1%
ValueCountFrequency (%)
12560750000 1
< 0.1%
2448000000 1
< 0.1%
2115891840 1
< 0.1%
1922623000 1
< 0.1%
1709000000 1
< 0.1%
1226596930 1
< 0.1%
1216798000 1
< 0.1%
1172143600 1
< 0.1%
1119000000 1
< 0.1%
1037000000 1
< 0.1%

계약일
Date

Distinct2394
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
Minimum2014-01-01 00:00:00
Maximum2024-01-27 00:00:00
2024-04-21T21:23:10.109746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:23:10.733742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1870
Distinct (%)19.2%
Missing35
Missing (%)0.4%
Memory size76.5 KiB
2024-04-21T21:23:11.891120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.7857436
Min length2

Characters and Unicode

Total characters66066
Distinct characters581
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

Unique1077 ?
Unique (%)11.1%

Sample

1st row대천농업협동조합
2nd row대천농업협동조합
3rd row조달청
4th row조달청
5th row조달청
ValueCountFrequency (%)
대전지방조달청 2543
 
23.9%
주식회사 501
 
4.7%
주)거산 172
 
1.6%
주)플러스메디칼 130
 
1.2%
안진팜 123
 
1.2%
자)제중약품 98
 
0.9%
동일사 95
 
0.9%
리바트 93
 
0.9%
정인문고 91
 
0.9%
보령사무용가구 89
 
0.8%
Other values (1913) 6716
63.1%
2024-04-21T21:23:13.224990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 3269
 
4.9%
지 3075
 
4.7%
전 3003
 
4.5%
조 2881
 
4.4%
청 2868
 
4.3%
주 2718
 
4.1%
달 2710
 
4.1%
방 2702
 
4.1%
( 2197
 
3.3%
) 2195
 
3.3%
Other values (571) 38448
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60326
91.3%
Open Punctuation 2197
 
3.3%
Close Punctuation 2195
 
3.3%
Space Separator 915
 
1.4%
Uppercase Letter 339
 
0.5%
Other Punctuation 60
 
0.1%
Lowercase Letter 15
 
< 0.1%
Decimal Number 12
 
< 0.1%
Other Symbol 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 3269
 
5.4%
지 3075
 
5.1%
전 3003
 
5.0%
조 2881
 
4.8%
청 2868
 
4.8%
주 2718
 
4.5%
달 2710
 
4.5%
방 2702
 
4.5%
사 1555
 
2.6%
이 919
 
1.5%
Other values (532) 34626
57.4%
Uppercase Letter
ValueCountFrequency (%)
S 42
12.4%
N 42
12.4%
E 30
8.8%
B 30
8.8%
H 29
8.6%
C 26
7.7%
G 24
7.1%
W 21
 
6.2%
A 19
 
5.6%
K 17
 
5.0%
Other values (11) 59
17.4%
Lowercase Letter
ValueCountFrequency (%)
s 4
26.7%
w 4
26.7%
d 2
13.3%
a 2
13.3%
n 2
13.3%
h 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 40
66.7%
, 15
 
25.0%
/ 4
 
6.7%
& 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 10
83.3%
5 1
 
8.3%
4 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 2197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2195
100.0%
Space Separator
ValueCountFrequency (%)
915
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60332
91.3%
Common 5380
 
8.1%
Latin 354
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 3269
 
5.4%
지 3075
 
5.1%
전 3003
 
5.0%
조 2881
 
4.8%
청 2868
 
4.8%
주 2718
 
4.5%
달 2710
 
4.5%
방 2702
 
4.5%
사 1555
 
2.6%
이 919
 
1.5%
Other values (533) 34632
57.4%
Latin
ValueCountFrequency (%)
S 42
11.9%
N 42
11.9%
E 30
8.5%
B 30
8.5%
H 29
 
8.2%
C 26
 
7.3%
G 24
 
6.8%
W 21
 
5.9%
A 19
 
5.4%
K 17
 
4.8%
Other values (17) 74
20.9%
Common
ValueCountFrequency (%)
( 2197
40.8%
) 2195
40.8%
915
17.0%
. 40
 
0.7%
, 15
 
0.3%
2 10
 
0.2%
/ 4
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60326
91.3%
ASCII 5734
 
8.7%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 3269
 
5.4%
지 3075
 
5.1%
전 3003
 
5.0%
조 2881
 
4.8%
청 2868
 
4.8%
주 2718
 
4.5%
달 2710
 
4.5%
방 2702
 
4.5%
사 1555
 
2.6%
이 919
 
1.5%
Other values (532) 34626
57.4%
ASCII
ValueCountFrequency (%)
( 2197
38.3%
) 2195
38.3%
915
16.0%
S 42
 
0.7%
N 42
 
0.7%
. 40
 
0.7%
E 30
 
0.5%
B 30
 
0.5%
H 29
 
0.5%
C 26
 
0.5%
Other values (28) 188
 
3.3%
None
ValueCountFrequency (%)
㈜ 6
100.0%

Interactions

2024-04-21T21:23:03.583788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:23:03.060401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:23:03.846582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:23:03.313713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:23:13.387860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약방법계약금액
번호1.0000.4310.3340.017
관서명0.4311.0000.5690.000
계약방법0.3340.5691.0000.000
계약금액0.0170.0000.0001.000
2024-04-21T21:23:13.541816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법관서명
계약방법1.0000.322
관서명0.3221.000
2024-04-21T21:23:13.680222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명계약방법
번호1.0000.1080.1740.145
계약금액0.1081.0000.0000.000
관서명0.1740.0001.0000.322
계약방법0.1450.0000.3221.000

Missing values

2024-04-21T21:23:04.205841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:23:04.598310image/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
01본청수의1인견적2014년 방과후공부방 아동 석식 식자재 구입374400002014-01-01대천농업협동조합
12본청수의1인견적2014년 재가복지 밑반찬 재료비201600002014-01-01대천농업협동조합
23본청수의1인견적세외수입콜센터운영위한 컴퓨터 구입27145802014-01-03조달청
34본청수의1인견적장고도 위생매립장 음식물 쓰레기 처리기 구입139713002014-01-03조달청
45본청수의1인견적종량제 규격봉투(일반-100ℓ) 제작74922402014-01-03조달청
56주포면일반경쟁컬라복사기 및 프린터기 구입68200002014-01-06대전지방조달청
67대천3동수의1인견적이동식 서가 구입43840002014-01-06대전지방조달청
78대천3동수의1인견적회의실 강연대 및 사회대 구입8947002014-01-06대전지방조달청
89대천3동수의1인견적TV구입21700002014-01-06대전지방조달청
910본청수의1인견적종량제 규격봉투(음식물-20,재사용20)제작117511102014-01-06조달청
번호관서명계약방법계약명계약금액계약일계약상대자
97619762본청수의1인견적토지이용남북부팀 방한복 구입28500002024-01-18보령아이더
97629763본청수의1인견적한파쉼터 방한이불 구입95000002024-01-18영산업
97639764보건소수의1인견적임산부 건강관리실 운영 물품 구입43600002024-01-18주식회사 이론친구들
97649765본청수의1인견적의회청사 군소음보상 검토실 벽걸이 에어컨 구입12150502024-01-19삼보이엔지(주)
97659766청라면일반경쟁차량속도 경고 표시등 LED 안내판 설치(청라초등학교 어린이구역 앞)162000002024-01-22우성(주)
97669767보건소수의1인견적우울증 선별검사 홍보물품 구입72000002024-01-23(주)플러스메디칼
97679768본청일반경쟁오천면 소규모체육관 안내판 구입 e호조 품의 등록4180002024-01-23머드안전광고
97689769원산출장소수의1인견적트렉터 제설장비 구입194700002024-01-24우리기계상사(대동공업보령대리점)
97699770본청수의1인견적사무용 가구 구입 (홍보미디어실, 새마을공동체과, 해양정책과, 관광과, 열린민원과, 회계과)62130002024-01-24리바트.보령사무용가구
97709771남포면수의1인견적봉덕1리 생활체육시설 설치공사87935002024-01-27대전지방조달청