Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description2019.1. ~ 2020.8 까지 고흥군 계약현황정보
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15063928/fileData.do

Alerts

계약관서 is highly imbalanced (89.5%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:09:00.878085
Analysis finished2023-12-12 21:09:02.002365
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6246.6351
Minimum1
Maximum12527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:09:02.066013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile601.95
Q13105.5
median6265.5
Q39379.5
95-th percentile11884.05
Maximum12527
Range12526
Interquartile range (IQR)6274

Descriptive statistics

Standard deviation3622.5102
Coefficient of variation (CV)0.57991384
Kurtosis-1.204589
Mean6246.6351
Median Absolute Deviation (MAD)3138
Skewness-0.001148514
Sum62466351
Variance13122580
MonotonicityNot monotonic
2023-12-13T06:09:02.185844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5055 1
 
< 0.1%
3255 1
 
< 0.1%
11274 1
 
< 0.1%
4627 1
 
< 0.1%
9720 1
 
< 0.1%
1654 1
 
< 0.1%
8743 1
 
< 0.1%
8552 1
 
< 0.1%
4651 1
 
< 0.1%
8194 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
12527 1
< 0.1%
12526 1
< 0.1%
12525 1
< 0.1%
12524 1
< 0.1%
12523 1
< 0.1%
12522 1
< 0.1%
12521 1
< 0.1%
12519 1
< 0.1%
12518 1
< 0.1%
12517 1
< 0.1%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
5001 
공사
3827 
용역
1172 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 5001
50.0%
공사 3827
38.3%
용역 1172
 
11.7%

Length

2023-12-13T06:09:02.295850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:09:02.373895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 5001
50.0%
공사 3827
38.3%
용역 1172
 
11.7%

계약관서
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
9484 
보건소
 
164
분청문화박물관
 
89
농업기술센터
 
66
풍양면
 
28
Other values (16)
 
169

Length

Max length7
Median length2
Mean length2.1088
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
본청 9484
94.8%
보건소 164
 
1.6%
분청문화박물관 89
 
0.9%
농업기술센터 66
 
0.7%
풍양면 28
 
0.3%
남양면 26
 
0.3%
포두면 26
 
0.3%
도양읍 21
 
0.2%
점암면 15
 
0.1%
동강면 14
 
0.1%
Other values (11) 67
 
0.7%

Length

2023-12-13T06:09:02.474906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 9484
94.8%
보건소 164
 
1.6%
분청문화박물관 89
 
0.9%
농업기술센터 66
 
0.7%
풍양면 28
 
0.3%
남양면 26
 
0.3%
포두면 26
 
0.3%
도양읍 21
 
0.2%
점암면 15
 
0.1%
도화면 14
 
0.1%
Other values (11) 67
 
0.7%

계약명
Text

Distinct9947
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:09:02.804363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length30.5073
Min length6

Characters and Unicode

Total characters305073
Distinct characters713
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9905 ?
Unique (%)99.1%

Sample

1st row2019 도화 덕촌마을 배수로 정비공사 관급자재(벤치플륨관) 구입
2nd row2019 고흥 호동마을 농로 정비공사 관급자재(용접철망) 구입
3rd row2019 도덕 대곡마을 서면 농로 포장공사(2회 추경) 관급자재(벤치플륨관) 구입
4th row2020 두원 동신마을(괴산골) 농로 정비공사 관급자재(와이어메쉬) 구입
5th row동강면 원매곡마을 하수도 정비사업 총괄 및 1차분 관급자재(아스콘)구입-재품의
ValueCountFrequency (%)
2019 3557
 
5.8%
구입 2941
 
4.8%
정비공사 1643
 
2.7%
배수로 1472
 
2.4%
2020 1414
 
2.3%
관급자재(레미콘 1201
 
2.0%
농로 1016
 
1.7%
2019년 834
 
1.4%
및 818
 
1.3%
포장공사 800
 
1.3%
Other values (6838) 45811
74.5%
2023-12-13T06:09:03.456498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51553
 
16.9%
2 10097
 
3.3%
사 9941
 
3.3%
0 8993
 
2.9%
) 7446
 
2.4%
( 7434
 
2.4%
공 7311
 
2.4%
관 6393
 
2.1%
1 5675
 
1.9%
구 5641
 
1.8%
Other values (703) 184589
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204948
67.2%
Space Separator 51553
 
16.9%
Decimal Number 30596
 
10.0%
Close Punctuation 7476
 
2.5%
Open Punctuation 7462
 
2.4%
Math Symbol 1161
 
0.4%
Uppercase Letter 702
 
0.2%
Dash Punctuation 610
 
0.2%
Other Punctuation 477
 
0.2%
Lowercase Letter 80
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 9941
 
4.9%
공 7311
 
3.6%
관 6393
 
3.1%
구 5641
 
2.8%
재 4987
 
2.4%
로 4779
 
2.3%
비 4730
 
2.3%
수 4707
 
2.3%
자 4698
 
2.3%
급 4581
 
2.2%
Other values (626) 147180
71.8%
Uppercase Letter
ValueCountFrequency (%)
C 136
19.4%
P 94
13.4%
V 71
10.1%
T 56
8.0%
E 53
 
7.5%
D 51
 
7.3%
S 34
 
4.8%
L 31
 
4.4%
B 29
 
4.1%
A 24
 
3.4%
Other values (12) 123
17.5%
Lowercase Letter
ValueCountFrequency (%)
p 12
15.0%
a 11
13.8%
l 10
12.5%
c 8
10.0%
v 8
10.0%
m 6
7.5%
d 4
 
5.0%
f 3
 
3.8%
e 3
 
3.8%
o 3
 
3.8%
Other values (8) 12
15.0%
Decimal Number
ValueCountFrequency (%)
2 10097
33.0%
0 8993
29.4%
1 5675
18.5%
9 4909
16.0%
3 334
 
1.1%
4 175
 
0.6%
8 168
 
0.5%
5 159
 
0.5%
7 43
 
0.1%
6 43
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 377
79.0%
. 44
 
9.2%
· 25
 
5.2%
' 16
 
3.4%
/ 8
 
1.7%
" 4
 
0.8%
″ 2
 
0.4%
′ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 495
42.6%
> 493
42.5%
~ 169
 
14.6%
～ 3
 
0.3%
∼ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 7446
99.6%
〉 22
 
0.3%
] 6
 
0.1%
」 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7434
99.6%
〈 20
 
0.3%
[ 6
 
0.1%
「 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
51553
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 610
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204947
67.2%
Common 99343
32.6%
Latin 782
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 9941
 
4.9%
공 7311
 
3.6%
관 6393
 
3.1%
구 5641
 
2.8%
재 4987
 
2.4%
로 4779
 
2.3%
비 4730
 
2.3%
수 4707
 
2.3%
자 4698
 
2.3%
급 4581
 
2.2%
Other values (625) 147179
71.8%
Latin
ValueCountFrequency (%)
C 136
17.4%
P 94
12.0%
V 71
 
9.1%
T 56
 
7.2%
E 53
 
6.8%
D 51
 
6.5%
S 34
 
4.3%
L 31
 
4.0%
B 29
 
3.7%
A 24
 
3.1%
Other values (30) 203
26.0%
Common
ValueCountFrequency (%)
51553
51.9%
2 10097
 
10.2%
0 8993
 
9.1%
) 7446
 
7.5%
( 7434
 
7.5%
1 5675
 
5.7%
9 4909
 
4.9%
- 610
 
0.6%
< 495
 
0.5%
> 493
 
0.5%
Other values (27) 1638
 
1.6%
Han
ValueCountFrequency (%)
展 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204945
67.2%
ASCII 100042
32.8%
None 74
 
< 0.1%
Punctuation 7
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51553
51.5%
2 10097
 
10.1%
0 8993
 
9.0%
) 7446
 
7.4%
( 7434
 
7.4%
1 5675
 
5.7%
9 4909
 
4.9%
- 610
 
0.6%
< 495
 
0.5%
> 493
 
0.5%
Other values (55) 2337
 
2.3%
Hangul
ValueCountFrequency (%)
사 9941
 
4.9%
공 7311
 
3.6%
관 6393
 
3.1%
구 5641
 
2.8%
재 4987
 
2.4%
로 4779
 
2.3%
비 4730
 
2.3%
수 4707
 
2.3%
자 4698
 
2.3%
급 4581
 
2.2%
Other values (624) 147177
71.8%
None
ValueCountFrequency (%)
· 25
33.8%
〉 22
29.7%
〈 20
27.0%
～ 3
 
4.1%
」 2
 
2.7%
「 2
 
2.7%
Punctuation
ValueCountFrequency (%)
‘ 3
42.9%
″ 2
28.6%
′ 1
 
14.3%
’ 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%
CJK
ValueCountFrequency (%)
展 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

계약금액
Text

Distinct8335
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:09:03.828617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.5827
Min length1

Characters and Unicode

Total characters95827
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7288 ?
Unique (%)72.9%

Sample

1st row4,218,450
2nd row2,105,420
3rd row10,043,940
4th row3,843,240
5th row40,155,090
ValueCountFrequency (%)
2,262,900 32
 
0.3%
0 29
 
0.3%
5,228,080 18
 
0.2%
2,004,360 15
 
0.1%
2,075,940 14
 
0.1%
1,431,680 14
 
0.1%
1,646,440 13
 
0.1%
1,861,190 12
 
0.1%
1,932,780 12
 
0.1%
10,000,000 12
 
0.1%
Other values (8325) 9829
98.3%
2023-12-13T06:09:04.308165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26900
28.1%
, 19807
20.7%
1 8311
 
8.7%
2 6073
 
6.3%
3 5154
 
5.4%
4 5140
 
5.4%
7 4989
 
5.2%
5 4905
 
5.1%
8 4893
 
5.1%
6 4869
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76020
79.3%
Other Punctuation 19807
 
20.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26900
35.4%
1 8311
 
10.9%
2 6073
 
8.0%
3 5154
 
6.8%
4 5140
 
6.8%
7 4989
 
6.6%
5 4905
 
6.5%
8 4893
 
6.4%
6 4869
 
6.4%
9 4786
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 19807
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26900
28.1%
, 19807
20.7%
1 8311
 
8.7%
2 6073
 
6.3%
3 5154
 
5.4%
4 5140
 
5.4%
7 4989
 
5.2%
5 4905
 
5.1%
8 4893
 
5.1%
6 4869
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26900
28.1%
, 19807
20.7%
1 8311
 
8.7%
2 6073
 
6.3%
3 5154
 
5.4%
4 5140
 
5.4%
7 4989
 
5.2%
5 4905
 
5.1%
8 4893
 
5.1%
6 4869
 
5.1%

계약일
Date

Distinct441
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-03 00:00:00
Maximum2020-08-26 00:00:00
2023-12-13T06:09:04.496342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:09:04.652572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도급업체
Text

Distinct1167
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:09:05.203189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length7
Mean length7.2395
Min length2

Characters and Unicode

Total characters72395
Distinct characters454
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

Unique570 ?
Unique (%)5.7%

Sample

1st row광주지방조달청
2nd row광주지방조달청
3rd row광주지방조달청
4th row광주지방조달청
5th row광주지방조달청
ValueCountFrequency (%)
광주지방조달청 4393
43.0%
주식회사 139
 
1.4%
뉴로드(주 82
 
0.8%
청담건설(주 79
 
0.8%
금정건설(주 67
 
0.7%
성우건설(주 67
 
0.7%
범한건설(주 64
 
0.6%
주)대흥 63
 
0.6%
엠제이건설(주 63
 
0.6%
주)서남엔지니어링 62
 
0.6%
Other values (1181) 5134
50.3%
2023-12-13T06:09:05.668919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8959
 
12.4%
지 4965
 
6.9%
) 4803
 
6.6%
( 4801
 
6.6%
조 4584
 
6.3%
광 4499
 
6.2%
청 4496
 
6.2%
방 4413
 
6.1%
달 4393
 
6.1%
건 2871
 
4.0%
Other values (444) 23611
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62482
86.3%
Close Punctuation 4803
 
6.6%
Open Punctuation 4801
 
6.6%
Space Separator 213
 
0.3%
Uppercase Letter 57
 
0.1%
Lowercase Letter 18
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Decimal Number 6
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8959
14.3%
지 4965
 
7.9%
조 4584
 
7.3%
광 4499
 
7.2%
청 4496
 
7.2%
방 4413
 
7.1%
달 4393
 
7.0%
건 2871
 
4.6%
설 2602
 
4.2%
이 653
 
1.0%
Other values (402) 20047
32.1%
Uppercase Letter
ValueCountFrequency (%)
N 8
14.0%
C 5
8.8%
G 5
8.8%
E 5
8.8%
D 4
 
7.0%
M 4
 
7.0%
O 4
 
7.0%
S 4
 
7.0%
K 3
 
5.3%
T 3
 
5.3%
Other values (7) 12
21.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
22.2%
p 2
11.1%
o 2
11.1%
x 2
11.1%
n 1
 
5.6%
t 1
 
5.6%
l 1
 
5.6%
e 1
 
5.6%
c 1
 
5.6%
s 1
 
5.6%
Other values (2) 2
11.1%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
& 1
 
12.5%
, 1
 
12.5%
/ 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
4 1
 
16.7%
2 1
 
16.7%
9 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 4803
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4801
100.0%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62483
86.3%
Common 9837
 
13.6%
Latin 75
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8959
14.3%
지 4965
 
7.9%
조 4584
 
7.3%
광 4499
 
7.2%
청 4496
 
7.2%
방 4413
 
7.1%
달 4393
 
7.0%
건 2871
 
4.6%
설 2602
 
4.2%
이 653
 
1.0%
Other values (403) 20048
32.1%
Latin
ValueCountFrequency (%)
N 8
 
10.7%
C 5
 
6.7%
G 5
 
6.7%
E 5
 
6.7%
D 4
 
5.3%
M 4
 
5.3%
a 4
 
5.3%
O 4
 
5.3%
S 4
 
5.3%
K 3
 
4.0%
Other values (19) 29
38.7%
Common
ValueCountFrequency (%)
) 4803
48.8%
( 4801
48.8%
213
 
2.2%
- 6
 
0.1%
. 5
 
0.1%
1 3
 
< 0.1%
& 1
 
< 0.1%
, 1
 
< 0.1%
4 1
 
< 0.1%
2 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62482
86.3%
ASCII 9912
 
13.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8959
14.3%
지 4965
 
7.9%
조 4584
 
7.3%
광 4499
 
7.2%
청 4496
 
7.2%
방 4413
 
7.1%
달 4393
 
7.0%
건 2871
 
4.6%
설 2602
 
4.2%
이 653
 
1.0%
Other values (402) 20047
32.1%
ASCII
ValueCountFrequency (%)
) 4803
48.5%
( 4801
48.4%
213
 
2.1%
N 8
 
0.1%
- 6
 
0.1%
. 5
 
0.1%
C 5
 
0.1%
G 5
 
0.1%
E 5
 
0.1%
D 4
 
< 0.1%
Other values (31) 57
 
0.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Interactions

2023-12-13T06:09:01.743215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:09:05.770526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분계약관서
번호1.0000.1830.210
구분0.1831.0000.207
계약관서0.2100.2071.000
2023-12-13T06:09:05.862406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계약관서
구분1.0000.096
계약관서0.0961.000
2023-12-13T06:09:05.951027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분계약관서
번호1.0000.1100.079
구분0.1101.0000.096
계약관서0.0790.0961.000

Missing values

2023-12-13T06:09:01.850352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:09:01.953138image/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

번호구분계약관서계약명계약금액계약일도급업체
50545055물품본청2019 도화 덕촌마을 배수로 정비공사 관급자재(벤치플륨관) 구입4,218,4502019-12-09광주지방조달청
1012110122물품본청2019 고흥 호동마을 농로 정비공사 관급자재(용접철망) 구입2,105,4202019-04-17광주지방조달청
46704671물품본청2019 도덕 대곡마을 서면 농로 포장공사(2회 추경) 관급자재(벤치플륨관) 구입10,043,9402019-12-16광주지방조달청
18261827물품본청2020 두원 동신마을(괴산골) 농로 정비공사 관급자재(와이어메쉬) 구입3,843,2402020-04-13광주지방조달청
72037204물품본청동강면 원매곡마을 하수도 정비사업 총괄 및 1차분 관급자재(아스콘)구입-재품의40,155,0902019-09-30광주지방조달청
29322933물품본청2020 고흥 신계마을 안길 및 광장 포장공사 관급자재(레미콘) 구입4,571,2602020-03-16광주지방조달청
1002310024공사본청영남 사도 선박 수리시설 및 수산물 세척장 설치공사39,796,0002019-04-18(주)동진건설
171172물품본청점암 당재소하천 정비사업 총괄 및 1차분 관급자재비(식생옹벽블록) 집행102,458,5702020-08-04광주지방조달청
78697870물품본청2019 동강 상송마을 농로 포장공사 관급자재(용접철망) 구입1,648,6902019-07-24광주지방조달청
13571358물품본청거금도 금진 방파제 및 물양장 정비공사 2020년 시행분 관급자재 레미콘 구입53,928,6802020-05-04광주지방조달청
번호구분계약관서계약명계약금액계약일도급업체
1011710118물품본청2019 도양 대봉 농로 확포장공사 관급자재(용접철망) 구입1,712,7402019-04-17광주지방조달청
33283329물품본청재해위험 저수지 정비사업(당오제) 2차분 관급자재(자동수위측정기) 구입14,326,9502020-02-26광주지방조달청
342343물품본청2020 남양면 장담리 용배수로 정비공사(도비-소규모농업기반) 관급자재(플륨관) 구입7,003,3102020-07-20광주지방조달청
1133911340공사본청2019 금산 익금마을 안길 정비공사12,026,0002019-03-18범한건설(주)
75077508공사본청2019 과역 구곡마을 안길 하수도 정비공사14,388,0002019-08-30(주)안산건설
50085009용역본청점암 성기 농어촌도로311호선 확포장 소규모환경영향평가 용역32,175,0002019-12-10(주)서남엔지니어링
1139311394물품본청제25호 태풍콩레이 덕산항 재해복구사업 관급자재(레미콘)구입비 집행1,002,1802019-03-18광주지방조달청
53085309공사본청2019 두원 신흥마을 농로 포장공사(2회추경)17,206,0002019-12-05명보건설(주)
11141115공사본청2020 금산 일정마을 안길 진입교량 확장공사20,806,0002020-05-11진성건설(주)
67506751물품본청2019년 과역 슬항 군도18호선 확포장 관급자재(가드레일) 공사비10,490,3402019-10-29광주지방조달청