Overview

Dataset statistics

Number of variables7
Number of observations8031
Missing cells20
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory455.0 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 (55.8%)Imbalance
계약금액 is highly skewed (γ1 = 75.98629431)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:41:40.869464
Analysis finished2024-01-09 20:41:42.226735
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct8031
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4016
Minimum1
Maximum8031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-01-10T05:41:42.296121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile402.5
Q12008.5
median4016
Q36023.5
95-th percentile7629.5
Maximum8031
Range8030
Interquartile range (IQR)4015

Descriptive statistics

Standard deviation2318.4943
Coefficient of variation (CV)0.57731433
Kurtosis-1.2
Mean4016
Median Absolute Deviation (MAD)2008
Skewness0
Sum32252496
Variance5375416
MonotonicityStrictly increasing
2024-01-10T05:41:42.451057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5351 1
 
< 0.1%
5364 1
 
< 0.1%
5363 1
 
< 0.1%
5362 1
 
< 0.1%
5361 1
 
< 0.1%
5360 1
 
< 0.1%
5359 1
 
< 0.1%
5358 1
 
< 0.1%
5357 1
 
< 0.1%
Other values (8021) 8021
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 (%)
8031 1
< 0.1%
8030 1
< 0.1%
8029 1
< 0.1%
8028 1
< 0.1%
8027 1
< 0.1%
8026 1
< 0.1%
8025 1
< 0.1%
8024 1
< 0.1%
8023 1
< 0.1%
8022 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.9 KiB
본청
5306 
보건소
1233 
농업기술센터
 
217
남포면
 
165
천북면
 
156
Other values (18)
954 

Length

Max length9
Median length2
Mean length2.5536048
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 5306
66.1%
보건소 1233
 
15.4%
농업기술센터 217
 
2.7%
남포면 165
 
2.1%
천북면 156
 
1.9%
대천3동 147
 
1.8%
문화체육관리사업소 103
 
1.3%
대천2동 87
 
1.1%
성주면 76
 
0.9%
주산면 72
 
0.9%
Other values (13) 469
 
5.8%

Length

2024-01-10T05:41:42.628713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 5306
66.1%
보건소 1233
 
15.4%
농업기술센터 217
 
2.7%
남포면 165
 
2.1%
천북면 156
 
1.9%
대천3동 147
 
1.8%
문화체육관리사업소 103
 
1.3%
대천2동 87
 
1.1%
성주면 76
 
0.9%
주산면 72
 
0.9%
Other values (13) 469
 
5.8%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.9 KiB
수의1인견적
8031 

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 8031
100.0%

Length

2024-01-10T05:41:42.747109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:41:42.831645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 8031
100.0%

계약명
Text

Distinct7344
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size62.9 KiB
2024-01-10T05:41:43.019932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length20.380276
Min length3

Characters and Unicode

Total characters163674
Distinct characters867
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

Unique6902 ?
Unique (%)85.9%

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 3364
 
10.3%
및 587
 
1.8%
제작 538
 
1.7%
설치 402
 
1.2%
관급자재 397
 
1.2%
등 276
 
0.8%
물품 182
 
0.6%
설치공사 153
 
0.5%
운영 137
 
0.4%
배수로 136
 
0.4%
Other values (8977) 26429
81.1%
2024-01-10T05:41:43.405118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24570
 
15.0%
구 5996
 
3.7%
입 5071
 
3.1%
( 3256
 
2.0%
) 3251
 
2.0%
관 2830
 
1.7%
사 2692
 
1.6%
자 2421
 
1.5%
기 2167
 
1.3%
공 1981
 
1.2%
Other values (857) 109439
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123223
75.3%
Space Separator 24570
 
15.0%
Decimal Number 5197
 
3.2%
Open Punctuation 3607
 
2.2%
Close Punctuation 3600
 
2.2%
Uppercase Letter 1766
 
1.1%
Other Punctuation 650
 
0.4%
Dash Punctuation 486
 
0.3%
Connector Punctuation 282
 
0.2%
Lowercase Letter 255
 
0.2%
Other values (4) 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5996
 
4.9%
입 5071
 
4.1%
관 2830
 
2.3%
사 2692
 
2.2%
자 2421
 
2.0%
기 2167
 
1.8%
공 1981
 
1.6%
재 1958
 
1.6%
보 1904
 
1.5%
제 1890
 
1.5%
Other values (772) 94313
76.5%
Uppercase Letter
ValueCountFrequency (%)
C 274
15.5%
D 217
12.3%
T 179
10.1%
V 168
9.5%
E 114
 
6.5%
B 108
 
6.1%
P 103
 
5.8%
I 92
 
5.2%
L 88
 
5.0%
A 69
 
3.9%
Other values (14) 354
20.0%
Lowercase Letter
ValueCountFrequency (%)
ℓ 63
24.7%
e 35
13.7%
d 18
 
7.1%
c 17
 
6.7%
l 17
 
6.7%
p 11
 
4.3%
a 11
 
4.3%
o 10
 
3.9%
v 9
 
3.5%
f 9
 
3.5%
Other values (14) 55
21.6%
Decimal Number
ValueCountFrequency (%)
2 1684
32.4%
1 1037
20.0%
0 925
17.8%
3 477
 
9.2%
4 230
 
4.4%
5 212
 
4.1%
9 192
 
3.7%
6 173
 
3.3%
7 146
 
2.8%
8 121
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 495
76.2%
. 64
 
9.8%
· 43
 
6.6%
" 19
 
2.9%
/ 15
 
2.3%
* 6
 
0.9%
? 4
 
0.6%
% 2
 
0.3%
; 1
 
0.2%
: 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 3256
90.3%
[ 332
 
9.2%
『 14
 
0.4%
「 5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3251
90.3%
] 330
 
9.2%
』 14
 
0.4%
」 5
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 20
57.1%
+ 14
40.0%
∼ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
24570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 486
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 282
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123220
75.3%
Common 38492
 
23.5%
Latin 1959
 
1.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5996
 
4.9%
입 5071
 
4.1%
관 2830
 
2.3%
사 2692
 
2.2%
자 2421
 
2.0%
기 2167
 
1.8%
공 1981
 
1.6%
재 1958
 
1.6%
보 1904
 
1.5%
제 1890
 
1.5%
Other values (771) 94310
76.5%
Latin
ValueCountFrequency (%)
C 274
14.0%
D 217
 
11.1%
T 179
 
9.1%
V 168
 
8.6%
E 114
 
5.8%
B 108
 
5.5%
P 103
 
5.3%
I 92
 
4.7%
L 88
 
4.5%
A 69
 
3.5%
Other values (38) 547
27.9%
Common
ValueCountFrequency (%)
24570
63.8%
( 3256
 
8.5%
) 3251
 
8.4%
2 1684
 
4.4%
1 1037
 
2.7%
0 925
 
2.4%
, 495
 
1.3%
- 486
 
1.3%
3 477
 
1.2%
[ 332
 
0.9%
Other values (27) 1979
 
5.1%
Han
ValueCountFrequency (%)
愛 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123220
75.3%
ASCII 40303
 
24.6%
None 81
 
< 0.1%
Letterlike Symbols 63
 
< 0.1%
CJK 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24570
61.0%
( 3256
 
8.1%
) 3251
 
8.1%
2 1684
 
4.2%
1 1037
 
2.6%
0 925
 
2.3%
, 495
 
1.2%
- 486
 
1.2%
3 477
 
1.2%
[ 332
 
0.8%
Other values (65) 3790
 
9.4%
Hangul
ValueCountFrequency (%)
구 5996
 
4.9%
입 5071
 
4.1%
관 2830
 
2.3%
사 2692
 
2.2%
자 2421
 
2.0%
기 2167
 
1.8%
공 1981
 
1.6%
재 1958
 
1.6%
보 1904
 
1.5%
제 1890
 
1.5%
Other values (771) 94310
76.5%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 63
100.0%
None
ValueCountFrequency (%)
· 43
53.1%
』 14
 
17.3%
『 14
 
17.3%
」 5
 
6.2%
「 5
 
6.2%
CJK
ValueCountFrequency (%)
愛 3
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct5049
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15636261
Minimum29880
Maximum1.256075 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-01-10T05:41:43.535997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29880
5-th percentile700000
Q12819000
median5895000
Q312516500
95-th percentile43293520
Maximum1.256075 × 1010
Range1.256072 × 1010
Interquartile range (IQR)9697500

Descriptive statistics

Standard deviation1.4854391 × 108
Coefficient of variation (CV)9.4999634
Kurtosis6349.366
Mean15636261
Median Absolute Deviation (MAD)3724000
Skewness75.986294
Sum1.2557481 × 1011
Variance2.2065293 × 1016
MonotonicityNot monotonic
2024-01-10T05:41:43.667015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000 56
 
0.7%
3200000 45
 
0.6%
2000000 45
 
0.6%
19800000 44
 
0.5%
18000000 40
 
0.5%
5000000 40
 
0.5%
9000000 31
 
0.4%
2200000 30
 
0.4%
6000000 30
 
0.4%
5700000 29
 
0.4%
Other values (5039) 7641
95.1%
ValueCountFrequency (%)
29880 1
< 0.1%
36370 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%
80000 2
< 0.1%
ValueCountFrequency (%)
12560750000 1
< 0.1%
2448000000 1
< 0.1%
1709000000 1
< 0.1%
1226112000 1
< 0.1%
1119000000 1
< 0.1%
923571350 1
< 0.1%
782480000 1
< 0.1%
565412000 1
< 0.1%
534476480 1
< 0.1%
469480000 1
< 0.1%

계약일
Date

Distinct2255
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size62.9 KiB
Minimum2014-01-01 00:00:00
Maximum2023-10-26 00:00:00
2024-01-10T05:41:43.802904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:44.215541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1574
Distinct (%)19.6%
Missing20
Missing (%)0.2%
Memory size62.9 KiB
2024-01-10T05:41:44.505359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.7172638
Min length2

Characters and Unicode

Total characters53812
Distinct characters558
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

Unique901 ?
Unique (%)11.2%

Sample

1st row대천농업협동조합
2nd row대천농업협동조합
3rd row조달청
4th row조달청
5th row조달청
ValueCountFrequency (%)
대전지방조달청 1801
 
20.6%
주식회사 357
 
4.1%
주)거산 153
 
1.7%
안진팜 119
 
1.4%
주)플러스메디칼 117
 
1.3%
동일사 95
 
1.1%
자)제중약품 94
 
1.1%
리바트 92
 
1.1%
주)광명프라자 88
 
1.0%
보령사무용가구 88
 
1.0%
Other values (1611) 5744
65.7%
2024-01-10T05:41:44.946862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 2417
 
4.5%
지 2227
 
4.1%
주 2217
 
4.1%
전 2206
 
4.1%
조 2087
 
3.9%
청 2087
 
3.9%
달 1952
 
3.6%
방 1940
 
3.6%
( 1866
 
3.5%
) 1864
 
3.5%
Other values (548) 32949
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48954
91.0%
Open Punctuation 1866
 
3.5%
Close Punctuation 1864
 
3.5%
Space Separator 737
 
1.4%
Uppercase Letter 309
 
0.6%
Other Punctuation 50
 
0.1%
Lowercase Letter 15
 
< 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 (%)
대 2417
 
4.9%
지 2227
 
4.5%
주 2217
 
4.5%
전 2206
 
4.5%
조 2087
 
4.3%
청 2087
 
4.3%
달 1952
 
4.0%
방 1940
 
4.0%
사 1294
 
2.6%
이 763
 
1.6%
Other values (510) 29764
60.8%
Uppercase Letter
ValueCountFrequency (%)
N 39
12.6%
S 35
11.3%
E 30
9.7%
B 28
9.1%
G 23
7.4%
C 23
7.4%
H 20
 
6.5%
W 20
 
6.5%
A 19
 
6.1%
K 16
 
5.2%
Other values (10) 56
18.1%
Lowercase Letter
ValueCountFrequency (%)
w 4
26.7%
s 4
26.7%
d 2
13.3%
n 2
13.3%
a 2
13.3%
h 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 33
66.0%
, 12
 
24.0%
/ 4
 
8.0%
& 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 10
83.3%
5 1
 
8.3%
4 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 1866
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1864
100.0%
Space Separator
ValueCountFrequency (%)
737
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48958
91.0%
Common 4530
 
8.4%
Latin 324
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2417
 
4.9%
지 2227
 
4.5%
주 2217
 
4.5%
전 2206
 
4.5%
조 2087
 
4.3%
청 2087
 
4.3%
달 1952
 
4.0%
방 1940
 
4.0%
사 1294
 
2.6%
이 763
 
1.6%
Other values (511) 29768
60.8%
Latin
ValueCountFrequency (%)
N 39
12.0%
S 35
10.8%
E 30
9.3%
B 28
 
8.6%
G 23
 
7.1%
C 23
 
7.1%
H 20
 
6.2%
W 20
 
6.2%
A 19
 
5.9%
K 16
 
4.9%
Other values (16) 71
21.9%
Common
ValueCountFrequency (%)
( 1866
41.2%
) 1864
41.1%
737
 
16.3%
. 33
 
0.7%
, 12
 
0.3%
2 10
 
0.2%
/ 4
 
0.1%
5 1
 
< 0.1%
& 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48954
91.0%
ASCII 4854
 
9.0%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 2417
 
4.9%
지 2227
 
4.5%
주 2217
 
4.5%
전 2206
 
4.5%
조 2087
 
4.3%
청 2087
 
4.3%
달 1952
 
4.0%
방 1940
 
4.0%
사 1294
 
2.6%
이 763
 
1.6%
Other values (510) 29764
60.8%
ASCII
ValueCountFrequency (%)
( 1866
38.4%
) 1864
38.4%
737
 
15.2%
N 39
 
0.8%
S 35
 
0.7%
. 33
 
0.7%
E 30
 
0.6%
B 28
 
0.6%
G 23
 
0.5%
C 23
 
0.5%
Other values (27) 176
 
3.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

Interactions

2024-01-10T05:41:41.854014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:41.666657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:41.955285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:41:41.761311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:41:45.056057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.4130.000
관서명0.4131.0000.000
계약금액0.0000.0001.000
2024-01-10T05:41:45.145590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.0000.0980.165
계약금액0.0981.0000.000
관서명0.1650.0001.000

Missing values

2024-01-10T05:41:42.076457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:41:42.176886image/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
56대천3동수의1인견적이동식 서가 구입43840002014-01-06대전지방조달청
67대천3동수의1인견적회의실 강연대 및 사회대 구입8947002014-01-06대전지방조달청
78대천3동수의1인견적TV구입21700002014-01-06대전지방조달청
89본청수의1인견적종량제 규격봉투(음식물-20,재사용20)제작117511102014-01-06조달청
910대천3동수의1인견적동장실 집기비품 구입76880002014-01-06대전지방조달청
번호관서명계약방법계약명계약금액계약일계약상대자
80218022본청수의1인견적보령시립도서관 코딩 교구 구입72804202023-10-22주식회사 럭스로보
80228023보건소수의1인견적감염병(진드기) 예방물품 구입50000002023-10-23파파메디
80238024보건소수의1인견적아토피 환아 보습용 치료제 구입35882002023-10-24(주)아모레퍼시픽
80248025본청수의1인견적대천해수욕장 , 무창포해수욕장 공중화장실 비상벨 업그레이드 물품구입149625002023-10-25주식회사 엔티씨에스
80258026본청수의1인견적보령머드화장품 공장 머드파우더 생산을 위한 기기 구입211200002023-10-25우리산업안전물산
80268027본청수의1인견적보령무궁화수목원 병해충 약제 구입49115002023-10-25부흥농약사
80278028보건소수의1인견적학교 건강생활실천 환경조성 제작 및 설치44000002023-10-25글고운디자인
80288029보건소수의1인견적방문건강관리사업 운영물품(파스) 구입72000002023-10-25(주)플러스메디칼
80298030본청수의1인견적주교면 생활문화플랫폼 전자기기 구입(수정)48763502023-10-26(주)하이마트 보령지점
80308031보건소수의1인견적사업장(한국GM) 금연·절주 등 건강생활실천 환경 조성 게시판 제작33649002023-10-26스마일디자인센터