Overview

Dataset statistics

Number of variables8
Number of observations9226
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows10
Duplicate rows (%)0.1%
Total size in memory576.8 KiB
Average record size in memory64.0 B

Variable types

DateTime1
Categorical4
Text3

Dataset

Description임대아파트 단지 내에 입찰정보에 대한 데이터로 각종 용역, 경비, 청소, 알뜰장, 재활용품 매각 등에 항목을 제공하고 있습니다.
Author주택관리공단(주)
URLhttps://www.data.go.kr/data/15069064/fileData.do

Alerts

Dataset has 10 (0.1%) duplicate rowsDuplicates
계약방법 is highly imbalanced (87.2%)Imbalance
낙찰방법 is highly imbalanced (74.5%)Imbalance

Reproduction

Analysis started2023-12-12 08:24:14.437675
Analysis finished2023-12-12 08:24:15.715149
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

입찰공고일
Date

Distinct2168
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
Minimum2013-05-02 00:00:00
Maximum2023-09-22 00:00:00
2023-12-12T17:24:16.083040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:16.239118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지사명
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
대구경북지사
1269 
대전충남지사
1104 
부산울산지사
1090 
경기지사
940 
서울지사
847 
Other values (14)
3976 

Length

Max length7
Median length4
Mean length4.8845654
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경기지사
2nd row서울지사
3rd row서울지사
4th row서울지사
5th row경남지사

Common Values

ValueCountFrequency (%)
대구경북지사 1269
13.8%
대전충남지사 1104
12.0%
부산울산지사 1090
11.8%
경기지사 940
10.2%
서울지사 847
9.2%
인천지사 845
9.2%
충북지사 839
9.1%
전북지사 617
6.7%
광주전남지사 566
6.1%
경남지사 542
5.9%
Other values (9) 567
6.1%

Length

2023-12-12T17:24:16.394889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구경북지사 1269
13.8%
대전충남지사 1104
12.0%
부산울산지사 1090
11.8%
경기지사 940
10.2%
서울지사 847
9.2%
인천지사 845
9.2%
충북지사 839
9.1%
전북지사 617
6.7%
광주전남지사 566
6.1%
경남지사 542
5.9%
Other values (9) 567
6.1%

입찰공고명
Text

Distinct7349
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
2023-12-12T17:24:16.719418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length50
Mean length28.865922
Min length8

Characters and Unicode

Total characters266317
Distinct characters439
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6074 ?
Unique (%)65.8%

Sample

1st row시흥능곡9아파트 재활용품 수거업체 선정 입찰공고
2nd row문산선유2단지 재활용품 수거업체 선정 입찰공고
3rd row의정부장암1단지 재활용품 수거업체 선정 입찰공고
4th row서울번동3단지 재활용품 수거업체 선정 입찰공고(긴급)
5th row[경남]남해평리휴먼시아단지 재활용품 수거업체 선정 입찰 공고
ValueCountFrequency (%)
선정 6742
 
12.3%
수거업체 4297
 
7.9%
공고 4118
 
7.5%
입찰 3948
 
7.2%
입찰공고 2254
 
4.1%
재활용품 2020
 
3.7%
재입찰 1496
 
2.7%
등 1426
 
2.6%
폐의류(헌옷 1283
 
2.3%
업체선정 738
 
1.4%
Other values (2411) 26278
48.1%
2023-12-12T17:24:17.409397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45743
 
17.2%
공 9689
 
3.6%
고 9407
 
3.5%
입 8797
 
3.3%
찰 8760
 
3.3%
정 8380
 
3.1%
선 7848
 
2.9%
업 7841
 
2.9%
체 7669
 
2.9%
지 6506
 
2.4%
Other values (429) 145677
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198480
74.5%
Space Separator 45743
 
17.2%
Decimal Number 11609
 
4.4%
Close Punctuation 4715
 
1.8%
Open Punctuation 4714
 
1.8%
Other Punctuation 472
 
0.2%
Dash Punctuation 290
 
0.1%
Uppercase Letter 183
 
0.1%
Connector Punctuation 79
 
< 0.1%
Lowercase Letter 30
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 9689
 
4.9%
고 9407
 
4.7%
입 8797
 
4.4%
찰 8760
 
4.4%
정 8380
 
4.2%
선 7848
 
4.0%
업 7841
 
4.0%
체 7669
 
3.9%
지 6506
 
3.3%
재 6348
 
3.2%
Other values (367) 117235
59.1%
Uppercase Letter
ValueCountFrequency (%)
L 32
17.5%
C 30
16.4%
D 27
14.8%
P 22
12.0%
G 18
9.8%
J 13
7.1%
E 10
 
5.5%
V 8
 
4.4%
T 6
 
3.3%
B 4
 
2.2%
Other values (6) 13
7.1%
Other Punctuation
ValueCountFrequency (%)
, 269
57.0%
. 90
 
19.1%
· 76
 
16.1%
‧ 14
 
3.0%
" 6
 
1.3%
: 5
 
1.1%
' 5
 
1.1%
/ 2
 
0.4%
․ 1
 
0.2%
; 1
 
0.2%
Other values (3) 3
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
o 6
20.0%
e 4
13.3%
i 4
13.3%
k 2
 
6.7%
b 2
 
6.7%
u 2
 
6.7%
f 2
 
6.7%
m 2
 
6.7%
t 2
 
6.7%
a 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3956
34.1%
2 2779
23.9%
3 1349
 
11.6%
4 845
 
7.3%
0 649
 
5.6%
6 548
 
4.7%
7 464
 
4.0%
8 374
 
3.2%
5 358
 
3.1%
9 287
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 4402
93.4%
] 305
 
6.5%
〕 7
 
0.1%
」 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4400
93.3%
[ 307
 
6.5%
〔 7
 
0.1%
Space Separator
ValueCountFrequency (%)
45743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Format
ValueCountFrequency (%)
​ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198480
74.5%
Common 67624
 
25.4%
Latin 213
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 9689
 
4.9%
고 9407
 
4.7%
입 8797
 
4.4%
찰 8760
 
4.4%
정 8380
 
4.2%
선 7848
 
4.0%
업 7841
 
4.0%
체 7669
 
3.9%
지 6506
 
3.3%
재 6348
 
3.2%
Other values (367) 117235
59.1%
Common
ValueCountFrequency (%)
45743
67.6%
) 4402
 
6.5%
( 4400
 
6.5%
1 3956
 
5.8%
2 2779
 
4.1%
3 1349
 
2.0%
4 845
 
1.2%
0 649
 
1.0%
6 548
 
0.8%
7 464
 
0.7%
Other values (25) 2489
 
3.7%
Latin
ValueCountFrequency (%)
L 32
15.0%
C 30
14.1%
D 27
12.7%
P 22
10.3%
G 18
8.5%
J 13
 
6.1%
E 10
 
4.7%
V 8
 
3.8%
T 6
 
2.8%
o 6
 
2.8%
Other values (17) 41
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198478
74.5%
ASCII 67729
 
25.4%
None 92
 
< 0.1%
Punctuation 16
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45743
67.5%
) 4402
 
6.5%
( 4400
 
6.5%
1 3956
 
5.8%
2 2779
 
4.1%
3 1349
 
2.0%
4 845
 
1.2%
0 649
 
1.0%
6 548
 
0.8%
7 464
 
0.7%
Other values (44) 2594
 
3.8%
Hangul
ValueCountFrequency (%)
공 9689
 
4.9%
고 9407
 
4.7%
입 8797
 
4.4%
찰 8760
 
4.4%
정 8380
 
4.2%
선 7848
 
4.0%
업 7841
 
4.0%
체 7669
 
3.9%
지 6506
 
3.3%
재 6348
 
3.2%
Other values (365) 117233
59.1%
None
ValueCountFrequency (%)
· 76
82.6%
〔 7
 
7.6%
〕 7
 
7.6%
＊ 1
 
1.1%
」 1
 
1.1%
Punctuation
ValueCountFrequency (%)
‧ 14
87.5%
․ 1
 
6.2%
​ 1
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
50.0%
ㄱ 1
50.0%

입찰마감일
Text

Distinct2078
Distinct (%)22.5%
Missing1
Missing (%)< 0.1%
Memory size72.2 KiB
2023-12-12T17:24:17.922803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters92250
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique444 ?
Unique (%)4.8%

Sample

1st row2013-05-15
2nd row2013-05-20
3rd row2013-05-20
4th row2013-05-13
5th row2013-05-22
ValueCountFrequency (%)
2018-12-04 76
 
0.8%
2021-11-23 67
 
0.7%
2019-11-12 60
 
0.7%
2020-12-01 60
 
0.7%
2022-11-15 43
 
0.5%
2017-12-04 39
 
0.4%
2018-12-03 39
 
0.4%
2018-12-10 34
 
0.4%
2021-12-06 33
 
0.4%
2019-12-02 32
 
0.3%
Other values (2067) 8738
94.8%
2023-12-12T17:24:18.541176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 19849
21.5%
0 19432
21.1%
- 18442
20.0%
1 16775
18.2%
3 3351
 
3.6%
7 2618
 
2.8%
6 2504
 
2.7%
4 2483
 
2.7%
8 2359
 
2.6%
5 2248
 
2.4%
Other values (2) 2189
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73768
80.0%
Dash Punctuation 18442
 
20.0%
Space Separator 40
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19849
26.9%
0 19432
26.3%
1 16775
22.7%
3 3351
 
4.5%
7 2618
 
3.5%
6 2504
 
3.4%
4 2483
 
3.4%
8 2359
 
3.2%
5 2248
 
3.0%
9 2149
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 18442
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 19849
21.5%
0 19432
21.1%
- 18442
20.0%
1 16775
18.2%
3 3351
 
3.6%
7 2618
 
2.8%
6 2504
 
2.7%
4 2483
 
2.7%
8 2359
 
2.6%
5 2248
 
2.4%
Other values (2) 2189
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 19849
21.5%
0 19432
21.1%
- 18442
20.0%
1 16775
18.2%
3 3351
 
3.6%
7 2618
 
2.8%
6 2504
 
2.7%
4 2483
 
2.7%
8 2359
 
2.6%
5 2248
 
2.4%
Other values (2) 2189
 
2.4%

입찰구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
잡수입
5471 
용역
3024 
물품매각
 
497
물품구입
 
215
공사
 
19

Length

Max length4
Median length3
Mean length2.7473445
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
잡수입 5471
59.3%
용역 3024
32.8%
물품매각 497
 
5.4%
물품구입 215
 
2.3%
공사 19
 
0.2%

Length

2023-12-12T17:24:18.717602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:18.838497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
잡수입 5471
59.3%
용역 3024
32.8%
물품매각 497
 
5.4%
물품구입 215
 
2.3%
공사 19
 
0.2%

계약방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
일반경쟁
8950 
제한경쟁
 
260
수의계약
 
16

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 8950
97.0%
제한경쟁 260
 
2.8%
수의계약 16
 
0.2%

Length

2023-12-12T17:24:18.951355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:19.046813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반경쟁 8950
97.0%
제한경쟁 260
 
2.8%
수의계약 16
 
0.2%

낙찰방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
적격심사제
8286 
최고가
 
648
최저가
 
244
기타
 
26
협상에 의한 계약
 
22

Length

Max length9
Median length5
Mean length4.8077173
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적격심사제 8286
89.8%
최고가 648
 
7.0%
최저가 244
 
2.6%
기타 26
 
0.3%
협상에 의한 계약 22
 
0.2%

Length

2023-12-12T17:24:19.159253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:19.269184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 8286
89.4%
최고가 648
 
7.0%
최저가 244
 
2.6%
기타 26
 
0.3%
협상에 22
 
0.2%
의한 22
 
0.2%
계약 22
 
0.2%

문의전화
Text

Distinct1468
Distinct (%)15.9%
Missing4
Missing (%)< 0.1%
Memory size72.2 KiB
2023-12-12T17:24:19.493199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length12
Mean length14.807634
Min length4

Characters and Unicode

Total characters136556
Distinct characters267
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)6.5%

Sample

1st row031-317-2185
2nd row031-953-8351
3rd row031-874-9658
4th row02-984-6152
5th row055-863-5661
ValueCountFrequency (%)
주택관리공단 1569
 
12.2%
주택관리공단(주 157
 
1.2%
062-511-6691 147
 
1.1%
051-361-2133 136
 
1.1%
042-582-0391 129
 
1.0%
대구경북지사 118
 
0.9%
관리사무소 109
 
0.8%
02)6224-5521 101
 
0.8%
063-902-6948 100
 
0.8%
경기지사 89
 
0.7%
Other values (1272) 10236
79.4%
2023-12-12T17:24:19.919814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14733
 
10.8%
0 12518
 
9.2%
3 11457
 
8.4%
2 10531
 
7.7%
1 10145
 
7.4%
5 8419
 
6.2%
6 7504
 
5.5%
4 7124
 
5.2%
8 5059
 
3.7%
7 4570
 
3.3%
Other values (257) 44496
32.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81321
59.6%
Other Letter 32707
24.0%
Dash Punctuation 14733
 
10.8%
Space Separator 4323
 
3.2%
Close Punctuation 2017
 
1.5%
Open Punctuation 892
 
0.7%
Other Symbol 271
 
0.2%
Other Punctuation 211
 
0.2%
Lowercase Letter 51
 
< 0.1%
Uppercase Letter 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4315
 
13.2%
리 4265
 
13.0%
주 2565
 
7.8%
소 2357
 
7.2%
단 2067
 
6.3%
택 1953
 
6.0%
공 1890
 
5.8%
대 765
 
2.3%
사 713
 
2.2%
구 700
 
2.1%
Other values (224) 11117
34.0%
Decimal Number
ValueCountFrequency (%)
0 12518
15.4%
3 11457
14.1%
2 10531
12.9%
1 10145
12.5%
5 8419
10.4%
6 7504
9.2%
4 7124
8.8%
8 5059
6.2%
7 4570
 
5.6%
9 3994
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
T 18
66.7%
F 2
 
7.4%
X 2
 
7.4%
A 2
 
7.4%
C 1
 
3.7%
D 1
 
3.7%
J 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 69
32.7%
. 65
30.8%
, 46
21.8%
/ 18
 
8.5%
* 12
 
5.7%
; 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
t 43
84.3%
e 4
 
7.8%
l 4
 
7.8%
Other Symbol
ValueCountFrequency (%)
☎ 261
96.3%
☏ 10
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 14733
100.0%
Space Separator
ValueCountFrequency (%)
4323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 892
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103771
76.0%
Hangul 32707
 
24.0%
Latin 78
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4315
 
13.2%
리 4265
 
13.0%
주 2565
 
7.8%
소 2357
 
7.2%
단 2067
 
6.3%
택 1953
 
6.0%
공 1890
 
5.8%
대 765
 
2.3%
사 713
 
2.2%
구 700
 
2.1%
Other values (224) 11117
34.0%
Common
ValueCountFrequency (%)
- 14733
14.2%
0 12518
12.1%
3 11457
11.0%
2 10531
10.1%
1 10145
9.8%
5 8419
8.1%
6 7504
7.2%
4 7124
6.9%
8 5059
 
4.9%
7 4570
 
4.4%
Other values (13) 11711
11.3%
Latin
ValueCountFrequency (%)
t 43
55.1%
T 18
23.1%
e 4
 
5.1%
l 4
 
5.1%
F 2
 
2.6%
X 2
 
2.6%
A 2
 
2.6%
C 1
 
1.3%
D 1
 
1.3%
J 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103578
75.9%
Hangul 32707
 
24.0%
Misc Symbols 271
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14733
14.2%
0 12518
12.1%
3 11457
11.1%
2 10531
10.2%
1 10145
9.8%
5 8419
8.1%
6 7504
7.2%
4 7124
6.9%
8 5059
 
4.9%
7 4570
 
4.4%
Other values (21) 11518
11.1%
Hangul
ValueCountFrequency (%)
관 4315
 
13.2%
리 4265
 
13.0%
주 2565
 
7.8%
소 2357
 
7.2%
단 2067
 
6.3%
택 1953
 
6.0%
공 1890
 
5.8%
대 765
 
2.3%
사 713
 
2.2%
구 700
 
2.1%
Other values (224) 11117
34.0%
Misc Symbols
ValueCountFrequency (%)
☎ 261
96.3%
☏ 10
 
3.7%

Correlations

2023-12-12T17:24:20.021798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지사명입찰구분계약방법낙찰방법
지사명1.0000.6410.5890.552
입찰구분0.6411.0000.2450.373
계약방법0.5890.2451.0000.446
낙찰방법0.5520.3730.4461.000
2023-12-12T17:24:20.108417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법입찰구분낙찰방법지사명
계약방법1.0000.1900.3770.385
입찰구분0.1901.0000.1470.384
낙찰방법0.3770.1471.0000.312
지사명0.3850.3840.3121.000
2023-12-12T17:24:20.208322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지사명입찰구분계약방법낙찰방법
지사명1.0000.3840.3850.312
입찰구분0.3841.0000.1900.147
계약방법0.3850.1901.0000.377
낙찰방법0.3120.1470.3771.000

Missing values

2023-12-12T17:24:15.362043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:24:15.502053image/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.
2023-12-12T17:24:15.637533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

입찰공고일지사명입찰공고명입찰마감일입찰구분계약방법낙찰방법문의전화
02013-05-02경기지사시흥능곡9아파트 재활용품 수거업체 선정 입찰공고2013-05-15잡수입일반경쟁최고가031-317-2185
12013-05-06서울지사문산선유2단지 재활용품 수거업체 선정 입찰공고2013-05-20잡수입일반경쟁최고가031-953-8351
22013-05-06서울지사의정부장암1단지 재활용품 수거업체 선정 입찰공고2013-05-20잡수입일반경쟁최고가031-874-9658
32013-05-06서울지사서울번동3단지 재활용품 수거업체 선정 입찰공고(긴급)2013-05-13잡수입일반경쟁최고가02-984-6152
42013-05-07경남지사[경남]남해평리휴먼시아단지 재활용품 수거업체 선정 입찰 공고2013-05-22잡수입일반경쟁최고가055-863-5661
52013-05-08인천지사인천삼산1단지 계단 물청소 용역업체 선정 입찰 공고2013-05-22용역일반경쟁최저가032-524-0208
62013-05-08부산지사2013년 재활용품 수거업체 선정 입찰공고(부산덕천2)2013-05-21잡수입일반경쟁최고가051-331-6454
72013-05-08관리자전산장비 유지관리 용역 입찰 공고2013-05-15용역제한경쟁최저가031-303-4335
82013-05-09대구경북지사대구황금3아파트 재활용품(파지 헌옷) 수거업체 선정 재입찰2013-05-16잡수입일반경쟁최고가053-764-6602
92013-05-10경남지사[경남]진주가좌1외6개단지 방역소독용역 재입찰 공고2013-05-16용역일반경쟁최저가055-232-3837
입찰공고일지사명입찰공고명입찰마감일입찰구분계약방법낙찰방법문의전화
92162023-09-11인천지사인천삼산1 아파트 재활용품 수거 사업자 선정 입찰 공고2023-09-22잡수입일반경쟁적격심사제032-524-0208
92172023-09-13대구경북지사문경모전2단지 전기안전관리대행 용역업체 선정 재입찰공고2023-09-20용역일반경쟁적격심사제주택관리공단 문경모전2관리소
92182023-09-18충북지사청주산남2-2 재활용품(파지 등) 수거업체 선정2023-10-04잡수입일반경쟁적격심사제청주산남2-2 관리소(043-285-1601)
92192023-09-18충북지사청주산남2-2 재활용품(폐의류 등) 입찰 선정2023-10-04잡수입일반경쟁적격심사제청주산남2-2 관리소(043-285-1601)
92202023-09-18경기지사산본가야2 알뜰장터 운영업체 선정 입찰 공고2023-10-04잡수입일반경쟁최고가산본가야2 ☎ 031-392-3989
92212023-09-20대전충남지사서산석림3 재활용품 수거업체 선정 입찰공고2023-10-10잡수입일반경쟁적격심사제041-665-4702
92222023-09-20대전충남지사서산석림3 폐의류(헌옷 등) 수거업체 선정 입찰공고2023-10-11잡수입일반경쟁적격심사제041-665-4702
92232023-09-21대전충남지사천안백석3 재활용품 수거업체 선정 입찰 공고2023-10-05잡수입일반경쟁적격심사제041-558-4200
92242023-09-21대전충남지사천안백석3 폐의류(헌옷등)수거업체 선정 입찰 공고2023-10-05잡수입일반경쟁적격심사제041-558-4200
92252023-09-22충북지사음성신천 광고시설물 설치 및 유지관리업체 선정2023-10-04잡수입일반경쟁적격심사제음성신천 관리사무소(043-872-0863)

Duplicate rows

Most frequently occurring

입찰공고일지사명입찰공고명입찰마감일입찰구분계약방법낙찰방법문의전화# duplicates
02015-11-04전북지사전주효자4-1외 6개단지 경비용역2015-11-19용역일반경쟁적격심사제주택관리공단 전북지사(063-902-6948)2
12019-12-19광주전남지사2020년 소독용역 사업자 선정 결과 공개2019-12-31용역일반경쟁적격심사제062-511-66912
22020-11-06대구경북지사영천문내 단지 재활용품(폐지 등)수거업체 선정 입찰공고2020-11-17잡수입일반경쟁적격심사제주택관리공단 영천문내관리소2
32020-11-20전북지사정읍수성1 폐의류(헌 옷 등) 수거업체 선정 입찰 공고2020-11-30잡수입일반경쟁적격심사제063-531-51362
42021-11-05대전충남지사대전법동3 알뜰장터 운영업체 선정 입찰공고2021-11-17잡수입일반경쟁적격심사제042-624-78742
52021-11-10인천지사인천연수1단지 재활용품 수거업체 선정 입찰 공고2021-11-22잡수입일반경쟁적격심사제032-811-04372
62021-11-11부산울산지사2022년 경비용역 입찰공고(울산화봉1외8개단지)2021-11-23용역일반경쟁적격심사제051-361-21332
72022-02-10충북지사음성금왕1 승강기 유지관리 업체선정 재입찰 공고2022-02-16용역일반경쟁적격심사제음성금왕1단지 관리사무소 043-877-87272
82022-12-02경남지사김해장유2 폐의류 수거업체 선정 재입찰 공고2022-12-08잡수입일반경쟁적격심사제055-311-44882
92023-03-27경남지사광고시설물 설치 및 유지관리업체 선정 입찰공고2023-04-06잡수입일반경쟁적격심사제055-638-52442