Overview

Dataset statistics

Number of variables55
Number of observations10000
Missing cells101547
Missing cells (%)18.5%
Duplicate rows885
Duplicate rows (%)8.8%
Total size in memory4.3 MiB
Average record size in memory453.0 B

Variable types

Text9
Unsupported3
Boolean1
Categorical27
DateTime13
Numeric2

Dataset

Description조달실적을 종합적으로 분석한 정보 국가를 당사자로 하는 계약에 관한 법률 등에 따라 국가(공공)기관, 지방자치단체에서 발주하는 입찰공고에 대한 정보
Author조달청
URLhttps://www.data.go.kr/data/15023678/standard.do

Alerts

Dataset has 885 (8.8%) duplicate rowsDuplicates
입찰공고상태명 is highly imbalanced (78.6%)Imbalance
계약체결형태명 is highly imbalanced (93.3%)Imbalance
공고기관명 is highly imbalanced (51.1%)Imbalance
수요기관명 is highly imbalanced (51.1%)Imbalance
개찰장소 is highly imbalanced (51.2%)Imbalance
참가가능지역명 is highly imbalanced (56.7%)Imbalance
데이터기준일자 is highly imbalanced (51.1%)Imbalance
제공기관코드 is highly imbalanced (51.1%)Imbalance
제공기관명 is highly imbalanced (51.1%)Imbalance
입찰공고차수 has 10000 (100.0%) missing valuesMissing
참조공고번호 has 9997 (> 99.9%) missing valuesMissing
참조공고차수 has 10000 (100.0%) missing valuesMissing
공고기관담당자명 has 3725 (37.2%) missing valuesMissing
공고기관담당자이메일주소 has 3725 (37.2%) missing valuesMissing
수요기관담당자명 has 3725 (37.2%) missing valuesMissing
수요기관담당자이메일주소 has 3725 (37.2%) missing valuesMissing
설명회실시일자 has 9998 (> 99.9%) missing valuesMissing
설명회실시시각 has 9998 (> 99.9%) missing valuesMissing
설명회실시장소 has 9998 (> 99.9%) missing valuesMissing
공동수급협정마감일자 has 4281 (42.8%) missing valuesMissing
배정예산금액(설계금액) has 3725 (37.2%) missing valuesMissing
추정가격 has 4006 (40.1%) missing valuesMissing
투찰가능업종명 has 4644 (46.4%) missing valuesMissing
입찰공고URL has 10000 (100.0%) missing valuesMissing
배정예산금액(설계금액) is highly skewed (γ1 = 62.08607833)Skewed
추정가격 is highly skewed (γ1 = 20.62300999)Skewed
입찰공고차수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
참조공고차수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입찰공고URL is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 21:28:04.302037
Analysis finished2023-12-12 21:28:06.316788
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct9113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:28:06.479629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.2436
Min length9

Characters and Unicode

Total characters102436
Distinct characters24
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8227 ?
Unique (%)82.3%

Sample

1st rowE011903703
2nd rowE011904631
3rd rowE011908627
4th rowE011900985
5th row2017-2788
ValueCountFrequency (%)
b5201800272 3
 
< 0.1%
g011907860 2
 
< 0.1%
a012000066 2
 
< 0.1%
a011902034 2
 
< 0.1%
e011900850 2
 
< 0.1%
e011901008 2
 
< 0.1%
e011902181 2
 
< 0.1%
e011904977 2
 
< 0.1%
e011900285 2
 
< 0.1%
e011905043 2
 
< 0.1%
Other values (9103) 9979
99.8%
2023-12-13T06:28:06.810552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26814
26.2%
1 20922
20.4%
9 10142
 
9.9%
2 9550
 
9.3%
E 5477
 
5.3%
3 4972
 
4.9%
5 4780
 
4.7%
8 4733
 
4.6%
7 3658
 
3.6%
4 3550
 
3.5%
Other values (14) 7838
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92443
90.2%
Uppercase Letter 9320
 
9.1%
Dash Punctuation 657
 
0.6%
Other Letter 12
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26814
29.0%
1 20922
22.6%
9 10142
 
11.0%
2 9550
 
10.3%
3 4972
 
5.4%
5 4780
 
5.2%
8 4733
 
5.1%
7 3658
 
4.0%
4 3550
 
3.8%
6 3322
 
3.6%
Other Letter
ValueCountFrequency (%)
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 5477
58.8%
B 3045
32.7%
P 362
 
3.9%
G 242
 
2.6%
A 194
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93104
90.9%
Latin 9320
 
9.1%
Hangul 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26814
28.8%
1 20922
22.5%
9 10142
 
10.9%
2 9550
 
10.3%
3 4972
 
5.3%
5 4780
 
5.1%
8 4733
 
5.1%
7 3658
 
3.9%
4 3550
 
3.8%
6 3322
 
3.6%
Other values (3) 661
 
0.7%
Hangul
ValueCountFrequency (%)
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
Latin
ValueCountFrequency (%)
E 5477
58.8%
B 3045
32.7%
P 362
 
3.9%
G 242
 
2.6%
A 194
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102424
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26814
26.2%
1 20922
20.4%
9 10142
 
9.9%
2 9550
 
9.3%
E 5477
 
5.3%
3 4972
 
4.9%
5 4780
 
4.7%
8 4733
 
4.6%
7 3658
 
3.6%
4 3550
 
3.5%
Other values (8) 7826
 
7.6%
Hangul
ValueCountFrequency (%)
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%

입찰공고차수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

참조공고번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-13T06:28:06.944142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters60
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row경기도시공사 공고 제2020-140호
2nd row경기도시공사 공고 제2020-147호
3rd row경기도시공사 공고 제2020-128호
ValueCountFrequency (%)
경기도시공사 3
33.3%
공고 3
33.3%
제2020-140호 1
 
11.1%
제2020-147호 1
 
11.1%
제2020-128호 1
 
11.1%
2023-12-13T06:28:07.209016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
11.7%
0 7
11.7%
6
 
10.0%
6
 
10.0%
3
 
5.0%
3
 
5.0%
1 3
 
5.0%
- 3
 
5.0%
3
 
5.0%
3
 
5.0%
Other values (7) 16
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30
50.0%
Decimal Number 21
35.0%
Space Separator 6
 
10.0%
Dash Punctuation 3
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
0 7
33.3%
1 3
14.3%
4 2
 
9.5%
7 1
 
4.8%
8 1
 
4.8%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30
50.0%
Hangul 30
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
Common
ValueCountFrequency (%)
2 7
23.3%
0 7
23.3%
6
20.0%
1 3
10.0%
- 3
10.0%
4 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30
50.0%
Hangul 30
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
23.3%
0 7
23.3%
6
20.0%
1 3
10.0%
- 3
10.0%
4 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
Hangul
ValueCountFrequency (%)
6
20.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%
3
10.0%

참조공고차수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8001 
False
1999 
ValueCountFrequency (%)
True 8001
80.0%
False 1999
 
20.0%
2023-12-13T06:28:07.306872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct8991
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:28:07.526308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length52
Mean length27.4718
Min length9

Characters and Unicode

Total characters274718
Distinct characters754
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7997 ?
Unique (%)80.0%

Sample

1st row북부동 도시계획(중1-17호선)개설 지장공사 감리용역
2nd row풍천광덕 광덕태양광 99kW PPA 연계공사 감리용역
3rd row사곡계실 한국국토정보공사 신규 1회선 신설공사 감리용역(공주지사)
4th row2019년도 부천지사 사옥청소 용역
5th row소양강댐 가설사무소 철거 건설폐기물 처리용역
ValueCountFrequency (%)
2019년 1212
 
2.5%
용역 1049
 
2.1%
감리용역 826
 
1.7%
764
 
1.6%
154kv 561
 
1.1%
제조구매설치 501
 
1.0%
이설공사 424
 
0.9%
구매 382
 
0.8%
설치공사 345
 
0.7%
지장전주 327
 
0.7%
Other values (12860) 42674
87.0%
2023-12-13T06:28:07.940149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39103
 
14.2%
9333
 
3.4%
7308
 
2.7%
6102
 
2.2%
5416
 
2.0%
5259
 
1.9%
4938
 
1.8%
2 4805
 
1.7%
1 4628
 
1.7%
) 4361
 
1.6%
Other values (744) 183465
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183627
66.8%
Space Separator 39103
 
14.2%
Decimal Number 21798
 
7.9%
Uppercase Letter 12885
 
4.7%
Close Punctuation 4471
 
1.6%
Open Punctuation 4438
 
1.6%
Other Punctuation 3884
 
1.4%
Lowercase Letter 2606
 
0.9%
Dash Punctuation 1099
 
0.4%
Math Symbol 313
 
0.1%
Other values (8) 494
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9333
 
5.1%
7308
 
4.0%
6102
 
3.3%
5416
 
2.9%
5259
 
2.9%
4938
 
2.7%
4212
 
2.3%
3759
 
2.0%
3398
 
1.9%
3305
 
1.8%
Other values (638) 130597
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 2055
15.9%
V 1420
11.0%
L 970
 
7.5%
C 919
 
7.1%
M 898
 
7.0%
T 896
 
7.0%
E 694
 
5.4%
D 667
 
5.2%
A 589
 
4.6%
P 579
 
4.5%
Other values (16) 3198
24.8%
Lowercase Letter
ValueCountFrequency (%)
k 1243
47.7%
r 287
 
11.0%
e 163
 
6.3%
a 151
 
5.8%
t 142
 
5.4%
w 91
 
3.5%
o 90
 
3.5%
m 73
 
2.8%
n 56
 
2.1%
i 55
 
2.1%
Other values (15) 255
 
9.8%
Decimal Number
ValueCountFrequency (%)
2 4805
22.0%
1 4628
21.2%
0 4231
19.4%
9 2197
10.1%
5 1607
 
7.4%
4 1485
 
6.8%
3 1141
 
5.2%
8 756
 
3.5%
6 484
 
2.2%
7 464
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 1797
46.3%
, 1250
32.2%
. 415
 
10.7%
' 242
 
6.2%
· 155
 
4.0%
* 16
 
0.4%
? 5
 
0.1%
& 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 197
62.9%
86
27.5%
14
 
4.5%
× 9
 
2.9%
+ 3
 
1.0%
2
 
0.6%
± 1
 
0.3%
> 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
49
44.5%
34
30.9%
12
 
10.9%
11
 
10.0%
2
 
1.8%
1
 
0.9%
1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 4361
97.5%
] 108
 
2.4%
1
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4328
97.5%
[ 108
 
2.4%
1
 
< 0.1%
1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
28
58.3%
15
31.2%
5
 
10.4%
Final Punctuation
ValueCountFrequency (%)
26
89.7%
3
 
10.3%
Modifier Symbol
ValueCountFrequency (%)
` 17
94.4%
´ 1
 
5.6%
Initial Punctuation
ValueCountFrequency (%)
12
80.0%
3
 
20.0%
Space Separator
ValueCountFrequency (%)
39103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1099
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 272
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183674
66.9%
Common 75504
27.5%
Latin 15538
 
5.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9333
 
5.1%
7308
 
4.0%
6102
 
3.3%
5416
 
2.9%
5259
 
2.9%
4938
 
2.7%
4212
 
2.3%
3759
 
2.0%
3398
 
1.9%
3305
 
1.8%
Other values (637) 130644
71.1%
Latin
ValueCountFrequency (%)
S 2055
 
13.2%
V 1420
 
9.1%
k 1243
 
8.0%
L 970
 
6.2%
C 919
 
5.9%
M 898
 
5.8%
T 896
 
5.8%
E 694
 
4.5%
D 667
 
4.3%
A 589
 
3.8%
Other values (43) 5187
33.4%
Common
ValueCountFrequency (%)
39103
51.8%
2 4805
 
6.4%
1 4628
 
6.1%
) 4361
 
5.8%
( 4328
 
5.7%
0 4231
 
5.6%
9 2197
 
2.9%
/ 1797
 
2.4%
5 1607
 
2.1%
4 1485
 
2.0%
Other values (42) 6962
 
9.2%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183614
66.8%
ASCII 90613
33.0%
None 235
 
0.1%
Math Operators 86
 
< 0.1%
CJK Compat 49
 
< 0.1%
Number Forms 48
 
< 0.1%
Punctuation 44
 
< 0.1%
Geometric Shapes 12
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Arrows 2
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39103
43.2%
2 4805
 
5.3%
1 4628
 
5.1%
) 4361
 
4.8%
( 4328
 
4.8%
0 4231
 
4.7%
9 2197
 
2.4%
S 2055
 
2.3%
/ 1797
 
2.0%
5 1607
 
1.8%
Other values (67) 21501
23.7%
Hangul
ValueCountFrequency (%)
9333
 
5.1%
7308
 
4.0%
6102
 
3.3%
5416
 
2.9%
5259
 
2.9%
4938
 
2.7%
4212
 
2.3%
3759
 
2.0%
3398
 
1.9%
3305
 
1.8%
Other values (635) 130584
71.1%
None
ValueCountFrequency (%)
· 155
66.0%
49
 
20.9%
14
 
6.0%
× 9
 
3.8%
1
 
0.4%
1
 
0.4%
± 1
 
0.4%
1
 
0.4%
1
 
0.4%
­ 1
 
0.4%
Other values (2) 2
 
0.9%
Math Operators
ValueCountFrequency (%)
86
100.0%
CJK Compat
ValueCountFrequency (%)
34
69.4%
11
 
22.4%
2
 
4.1%
1
 
2.0%
1
 
2.0%
Number Forms
ValueCountFrequency (%)
28
58.3%
15
31.2%
5
 
10.4%
Punctuation
ValueCountFrequency (%)
26
59.1%
12
27.3%
3
 
6.8%
3
 
6.8%
Geometric Shapes
ValueCountFrequency (%)
12
100.0%
Compat Jamo
ValueCountFrequency (%)
11
100.0%
Arrows
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

입찰공고상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반공고
9158 
재입찰공고
 
575
정정공고
 
262
긴급공고
 
3
취소공고
 
2

Length

Max length5
Median length4
Mean length4.0575
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반공고 9158
91.6%
재입찰공고 575
 
5.8%
정정공고 262
 
2.6%
긴급공고 3
 
< 0.1%
취소공고 2
 
< 0.1%

Length

2023-12-13T06:28:08.070340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:08.180184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반공고 9158
91.6%
재입찰공고 575
 
5.8%
정정공고 262
 
2.6%
긴급공고 3
 
< 0.1%
취소공고 2
 
< 0.1%
Distinct621
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-15 00:00:00
Maximum2020-04-01 00:00:00
2023-12-13T06:28:08.307168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:08.456339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct223
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 00:01:00
Maximum2023-12-13 21:03:00
2023-12-13T06:28:08.867171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:09.021548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업무구분명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
용역
4550 
공사
3805 
물품
831 
기타
814 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용역 4550
45.5%
공사 3805
38.0%
물품 831
 
8.3%
기타 814
 
8.1%

Length

2023-12-13T06:28:09.158250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:09.276179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 4550
45.5%
공사 3805
38.0%
물품 831
 
8.3%
기타 814
 
8.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
6278 
<NA>
3697 
 
25

Length

Max length4
Median length1
Mean length2.1091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th row<NA>

Common Values

ValueCountFrequency (%)
N 6278
62.8%
<NA> 3697
37.0%
25
 
0.2%

Length

2023-12-13T06:28:09.406848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:09.521398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 6278
62.9%
na 3697
37.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5835 
<NA>
3697 
Y
 
443
 
25

Length

Max length4
Median length1
Mean length2.1091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th row<NA>

Common Values

ValueCountFrequency (%)
N 5835
58.4%
<NA> 3697
37.0%
Y 443
 
4.4%
25
 
0.2%

Length

2023-12-13T06:28:09.643804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:09.760876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 5835
58.5%
na 3697
37.1%
y 443
 
4.4%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공동수급불허
5837 
<NA>
3722 
분담이행
 
224
공동이행
 
145
공동이행+분담이행
 
72

Length

Max length9
Median length6
Mean length5.2034
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동수급불허
2nd row공동수급불허
3rd row공동수급불허
4th row공동수급불허
5th row<NA>

Common Values

ValueCountFrequency (%)
공동수급불허 5837
58.4%
<NA> 3722
37.2%
분담이행 224
 
2.2%
공동이행 145
 
1.5%
공동이행+분담이행 72
 
0.7%

Length

2023-12-13T06:28:09.865467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:09.966440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동수급불허 5837
58.4%
na 3722
37.2%
분담이행 224
 
2.2%
공동이행 145
 
1.5%
공동이행+분담이행 72
 
0.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Y
6278 
<NA>
3697 
 
25

Length

Max length4
Median length1
Mean length2.1091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th row<NA>

Common Values

ValueCountFrequency (%)
Y 6278
62.8%
<NA> 3697
37.0%
25
 
0.2%

Length

2023-12-13T06:28:10.114400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:10.208413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 6278
62.9%
na 3697
37.1%

계약체결형태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
총액계약
9921 
단가계약
 
79

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 9921
99.2%
단가계약 79
 
0.8%

Length

2023-12-13T06:28:10.323865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:10.438624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 9921
99.2%
단가계약 79
 
0.8%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제한경쟁
6702 
일반경쟁
1637 
수의계약
1510 
지명경쟁
 
151

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제한경쟁
2nd row제한경쟁
3rd row제한경쟁
4th row제한경쟁
5th row수의계약

Common Values

ValueCountFrequency (%)
제한경쟁 6702
67.0%
일반경쟁 1637
 
16.4%
수의계약 1510
 
15.1%
지명경쟁 151
 
1.5%

Length

2023-12-13T06:28:10.561077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:10.686566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 6702
67.0%
일반경쟁 1637
 
16.4%
수의계약 1510
 
15.1%
지명경쟁 151
 
1.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적격심사제
4271 
<NA>
3725 
최저가 낙찰제
1844 
협상에 의한 계약
 
128
종합낙찰제
 
29

Length

Max length9
Median length7
Mean length5.0481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적격심사제
2nd row적격심사제
3rd row적격심사제
4th row적격심사제
5th row<NA>

Common Values

ValueCountFrequency (%)
적격심사제 4271
42.7%
<NA> 3725
37.2%
최저가 낙찰제 1844
18.4%
협상에 의한 계약 128
 
1.3%
종합낙찰제 29
 
0.3%
종합심사낙찰제 3
 
< 0.1%

Length

2023-12-13T06:28:10.814855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:10.914270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 4271
35.3%
na 3725
30.8%
최저가 1844
15.2%
낙찰제 1844
15.2%
협상에 128
 
1.1%
의한 128
 
1.1%
계약 128
 
1.1%
종합낙찰제 29
 
0.2%
종합심사낙찰제 3
 
< 0.1%

공고기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국전력공사
6275 
한국수자원공사
3697 
한국산업기술평가관리원
 
25
경기도시공사
 
3

Length

Max length11
Median length6
Mean length6.3822
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국전력공사
2nd row한국전력공사
3rd row한국전력공사
4th row한국전력공사
5th row한국수자원공사

Common Values

ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%

Length

2023-12-13T06:28:11.034458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:11.126101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B410002
6275 
<NA>
3725 

Length

Max length7
Median length7
Mean length5.8825
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB410002
2nd rowB410002
3rd rowB410002
4th rowB410002
5th row<NA>

Common Values

ValueCountFrequency (%)
B410002 6275
62.7%
<NA> 3725
37.2%

Length

2023-12-13T06:28:11.240650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:11.350023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b410002 6275
62.7%
na 3725
37.2%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
3725 
경기본부
599 
대전세종충남본부
499 
강원본부
455 
광주전남본부
 
424
Other values (24)
4298 

Length

Max length8
Median length4
Mean length4.5537
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산울산본부
2nd row경북본부
3rd row대전세종충남본부
4th row인천본부
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3725
37.2%
경기본부 599
 
6.0%
대전세종충남본부 499
 
5.0%
강원본부 455
 
4.5%
광주전남본부 424
 
4.2%
부산울산본부 407
 
4.1%
대구본부 384
 
3.8%
경남본부 382
 
3.8%
전북본부 341
 
3.4%
자재처 307
 
3.1%
Other values (19) 2477
24.8%

Length

2023-12-13T06:28:11.472477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3725
37.2%
경기본부 599
 
6.0%
대전세종충남본부 499
 
5.0%
강원본부 455
 
4.5%
광주전남본부 424
 
4.2%
부산울산본부 407
 
4.1%
대구본부 384
 
3.8%
경남본부 382
 
3.8%
전북본부 341
 
3.4%
자재처 307
 
3.1%
Other values (19) 2477
24.8%
Distinct104
Distinct (%)1.7%
Missing3725
Missing (%)37.2%
Memory size156.2 KiB
2023-12-13T06:28:11.753265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18825
Distinct characters104
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최윤정
2nd row권소희
3rd row김은혜
4th row강태휘
5th row김정수
ValueCountFrequency (%)
권소희 263
 
4.2%
김정수 251
 
4.0%
최유림 169
 
2.7%
윤소영 128
 
2.0%
권순이 127
 
2.0%
추여향 125
 
2.0%
이미숙 120
 
1.9%
이형기 117
 
1.9%
지현희 112
 
1.8%
정희영 109
 
1.7%
Other values (94) 4754
75.8%
2023-12-13T06:28:12.173893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18825
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18825
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18825
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%
Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
3725 
031-123-3083
599 
042-262-2023
499 
033-325-5923
455 
062-226-6053
 
424
Other values (28)
4298 

Length

Max length12
Median length12
Mean length8.9512
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-160-0453
2nd row054-485-5023
3rd row042-262-2023
4th row032-252-2073
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3725
37.2%
031-123-3083 599
 
6.0%
042-262-2023 499
 
5.0%
033-325-5923 455
 
4.5%
062-226-6053 424
 
4.2%
051-160-0453 407
 
4.1%
053-335-5023 384
 
3.8%
055-571-1723 382
 
3.8%
063-324-4052 318
 
3.2%
032-252-2073 296
 
3.0%
Other values (23) 2511
25.1%

Length

2023-12-13T06:28:12.313737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3725
37.2%
031-123-3083 599
 
6.0%
042-262-2023 499
 
5.0%
033-325-5923 455
 
4.5%
062-226-6053 424
 
4.2%
051-160-0453 407
 
4.1%
053-335-5023 384
 
3.8%
055-571-1723 382
 
3.8%
063-324-4052 318
 
3.2%
032-252-2073 296
 
3.0%
Other values (23) 2511
25.1%
Distinct105
Distinct (%)1.7%
Missing3725
Missing (%)37.2%
Memory size156.2 KiB
2023-12-13T06:28:12.551040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.508845
Min length15

Characters and Unicode

Total characters122418
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowyunjeong09@kepco.co.kr
2nd rowksh215@kepco.co.kr
3rd roweunhye.kim@kepco.co.kr
4th rowthis@kepco.co.kr
5th rowwoori2385@kepco.co.kr
ValueCountFrequency (%)
ksh215@kepco.co.kr 263
 
4.2%
yulim2@kepco.co.kr 169
 
2.7%
woori2385@kepco.co.kr 145
 
2.3%
soy.yoon@kepco.co.kr 128
 
2.0%
soon100@kepco.co.kr 127
 
2.0%
autumncn@kepco.co.kr 125
 
2.0%
misook.lee@kepco.co.kr 120
 
1.9%
hyeonggi.lee@kepco.co.kr 117
 
1.9%
uxi@kepco.co.kr 112
 
1.8%
hyj363@kepco.co.kr 109
 
1.7%
Other values (95) 4860
77.5%
2023-12-13T06:28:12.977848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 16482
13.5%
k 14660
12.0%
. 14249
11.6%
c 13195
10.8%
e 9209
 
7.5%
r 7213
 
5.9%
p 6905
 
5.6%
@ 6275
 
5.1%
n 3224
 
2.6%
y 3070
 
2.5%
Other values (28) 27936
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 94086
76.9%
Other Punctuation 20524
 
16.8%
Decimal Number 7564
 
6.2%
Connector Punctuation 206
 
0.2%
Dash Punctuation 38
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 16482
17.5%
k 14660
15.6%
c 13195
14.0%
e 9209
9.8%
r 7213
7.7%
p 6905
7.3%
n 3224
 
3.4%
y 3070
 
3.3%
i 2602
 
2.8%
h 2506
 
2.7%
Other values (14) 15020
16.0%
Decimal Number
ValueCountFrequency (%)
1 1509
19.9%
2 1347
17.8%
0 1070
14.1%
3 751
9.9%
7 601
 
7.9%
5 529
 
7.0%
6 521
 
6.9%
9 465
 
6.1%
4 420
 
5.6%
8 351
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 14249
69.4%
@ 6275
30.6%
Connector Punctuation
ValueCountFrequency (%)
_ 206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 94086
76.9%
Common 28332
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 16482
17.5%
k 14660
15.6%
c 13195
14.0%
e 9209
9.8%
r 7213
7.7%
p 6905
7.3%
n 3224
 
3.4%
y 3070
 
3.3%
i 2602
 
2.8%
h 2506
 
2.7%
Other values (14) 15020
16.0%
Common
ValueCountFrequency (%)
. 14249
50.3%
@ 6275
22.1%
1 1509
 
5.3%
2 1347
 
4.8%
0 1070
 
3.8%
3 751
 
2.7%
7 601
 
2.1%
5 529
 
1.9%
6 521
 
1.8%
9 465
 
1.6%
Other values (4) 1015
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 16482
13.5%
k 14660
12.0%
. 14249
11.6%
c 13195
10.8%
e 9209
 
7.5%
r 7213
 
5.9%
p 6905
 
5.6%
@ 6275
 
5.1%
n 3224
 
2.6%
y 3070
 
2.5%
Other values (28) 27936
22.8%

수요기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국전력공사
6275 
한국수자원공사
3697 
한국산업기술평가관리원
 
25
경기도시공사
 
3

Length

Max length11
Median length6
Mean length6.3822
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국전력공사
2nd row한국전력공사
3rd row한국전력공사
4th row한국전력공사
5th row한국수자원공사

Common Values

ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%

Length

2023-12-13T06:28:13.110325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:13.199442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B410002
6275 
<NA>
3725 

Length

Max length7
Median length7
Mean length5.8825
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB410002
2nd rowB410002
3rd rowB410002
4th rowB410002
5th row<NA>

Common Values

ValueCountFrequency (%)
B410002 6275
62.7%
<NA> 3725
37.2%

Length

2023-12-13T06:28:13.306376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:13.395434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b410002 6275
62.7%
na 3725
37.2%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
3725 
경기본부
599 
대전세종충남본부
499 
강원본부
455 
광주전남본부
 
424
Other values (24)
4298 

Length

Max length8
Median length4
Mean length4.5537
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산울산본부
2nd row경북본부
3rd row대전세종충남본부
4th row인천본부
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3725
37.2%
경기본부 599
 
6.0%
대전세종충남본부 499
 
5.0%
강원본부 455
 
4.5%
광주전남본부 424
 
4.2%
부산울산본부 407
 
4.1%
대구본부 384
 
3.8%
경남본부 382
 
3.8%
전북본부 341
 
3.4%
자재처 307
 
3.1%
Other values (19) 2477
24.8%

Length

2023-12-13T06:28:13.501157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3725
37.2%
경기본부 599
 
6.0%
대전세종충남본부 499
 
5.0%
강원본부 455
 
4.5%
광주전남본부 424
 
4.2%
부산울산본부 407
 
4.1%
대구본부 384
 
3.8%
경남본부 382
 
3.8%
전북본부 341
 
3.4%
자재처 307
 
3.1%
Other values (19) 2477
24.8%
Distinct104
Distinct (%)1.7%
Missing3725
Missing (%)37.2%
Memory size156.2 KiB
2023-12-13T06:28:13.787283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18825
Distinct characters104
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최윤정
2nd row권소희
3rd row김은혜
4th row강태휘
5th row김정수
ValueCountFrequency (%)
권소희 263
 
4.2%
김정수 251
 
4.0%
최유림 169
 
2.7%
윤소영 128
 
2.0%
권순이 127
 
2.0%
추여향 125
 
2.0%
이미숙 120
 
1.9%
이형기 117
 
1.9%
지현희 112
 
1.8%
정희영 109
 
1.7%
Other values (94) 4754
75.8%
2023-12-13T06:28:14.177328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18825
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18825
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18825
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1263
 
6.7%
1087
 
5.8%
847
 
4.5%
834
 
4.4%
804
 
4.3%
588
 
3.1%
563
 
3.0%
519
 
2.8%
488
 
2.6%
440
 
2.3%
Other values (94) 11392
60.5%
Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
3725 
031-123-3083
599 
042-262-2023
499 
033-325-5923
455 
062-226-6053
 
424
Other values (28)
4298 

Length

Max length12
Median length12
Mean length8.9512
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-160-0453
2nd row054-485-5023
3rd row042-262-2023
4th row032-252-2073
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3725
37.2%
031-123-3083 599
 
6.0%
042-262-2023 499
 
5.0%
033-325-5923 455
 
4.5%
062-226-6053 424
 
4.2%
051-160-0453 407
 
4.1%
053-335-5023 384
 
3.8%
055-571-1723 382
 
3.8%
063-324-4052 318
 
3.2%
032-252-2073 296
 
3.0%
Other values (23) 2511
25.1%

Length

2023-12-13T06:28:14.335727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3725
37.2%
031-123-3083 599
 
6.0%
042-262-2023 499
 
5.0%
033-325-5923 455
 
4.5%
062-226-6053 424
 
4.2%
051-160-0453 407
 
4.1%
053-335-5023 384
 
3.8%
055-571-1723 382
 
3.8%
063-324-4052 318
 
3.2%
032-252-2073 296
 
3.0%
Other values (23) 2511
25.1%
Distinct105
Distinct (%)1.7%
Missing3725
Missing (%)37.2%
Memory size156.2 KiB
2023-12-13T06:28:14.568104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.508845
Min length15

Characters and Unicode

Total characters122418
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowyunjeong09@kepco.co.kr
2nd rowksh215@kepco.co.kr
3rd roweunhye.kim@kepco.co.kr
4th rowthis@kepco.co.kr
5th rowwoori2385@kepco.co.kr
ValueCountFrequency (%)
ksh215@kepco.co.kr 263
 
4.2%
yulim2@kepco.co.kr 169
 
2.7%
woori2385@kepco.co.kr 145
 
2.3%
soy.yoon@kepco.co.kr 128
 
2.0%
soon100@kepco.co.kr 127
 
2.0%
autumncn@kepco.co.kr 125
 
2.0%
misook.lee@kepco.co.kr 120
 
1.9%
hyeonggi.lee@kepco.co.kr 117
 
1.9%
uxi@kepco.co.kr 112
 
1.8%
hyj363@kepco.co.kr 109
 
1.7%
Other values (95) 4860
77.5%
2023-12-13T06:28:14.953419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 16482
13.5%
k 14660
12.0%
. 14249
11.6%
c 13195
10.8%
e 9209
 
7.5%
r 7213
 
5.9%
p 6905
 
5.6%
@ 6275
 
5.1%
n 3224
 
2.6%
y 3070
 
2.5%
Other values (28) 27936
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 94086
76.9%
Other Punctuation 20524
 
16.8%
Decimal Number 7564
 
6.2%
Connector Punctuation 206
 
0.2%
Dash Punctuation 38
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 16482
17.5%
k 14660
15.6%
c 13195
14.0%
e 9209
9.8%
r 7213
7.7%
p 6905
7.3%
n 3224
 
3.4%
y 3070
 
3.3%
i 2602
 
2.8%
h 2506
 
2.7%
Other values (14) 15020
16.0%
Decimal Number
ValueCountFrequency (%)
1 1509
19.9%
2 1347
17.8%
0 1070
14.1%
3 751
9.9%
7 601
 
7.9%
5 529
 
7.0%
6 521
 
6.9%
9 465
 
6.1%
4 420
 
5.6%
8 351
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 14249
69.4%
@ 6275
30.6%
Connector Punctuation
ValueCountFrequency (%)
_ 206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 94086
76.9%
Common 28332
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 16482
17.5%
k 14660
15.6%
c 13195
14.0%
e 9209
9.8%
r 7213
7.7%
p 6905
7.3%
n 3224
 
3.4%
y 3070
 
3.3%
i 2602
 
2.8%
h 2506
 
2.7%
Other values (14) 15020
16.0%
Common
ValueCountFrequency (%)
. 14249
50.3%
@ 6275
22.1%
1 1509
 
5.3%
2 1347
 
4.8%
0 1070
 
3.8%
3 751
 
2.7%
7 601
 
2.1%
5 529
 
1.9%
6 521
 
1.8%
9 465
 
1.6%
Other values (4) 1015
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 16482
13.5%
k 14660
12.0%
. 14249
11.6%
c 13195
10.8%
e 9209
 
7.5%
r 7213
 
5.9%
p 6905
 
5.6%
@ 6275
 
5.1%
n 3224
 
2.6%
y 3070
 
2.5%
Other values (28) 27936
22.8%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5839 
<NA>
4136 
 
25

Length

Max length4
Median length1
Mean length2.2408
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th row<NA>

Common Values

ValueCountFrequency (%)
N 5839
58.4%
<NA> 4136
41.4%
25
 
0.2%

Length

2023-12-13T06:28:15.165314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:15.265826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 5839
58.5%
na 4136
41.5%

설명회실시일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2019-04-26 00:00:00
Maximum2019-10-11 00:00:00
2023-12-13T06:28:15.349094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:15.444165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

설명회실시시각
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2023-12-13 00:04:00
Maximum2023-12-13 14:10:00
2023-12-13T06:28:15.533466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:15.616352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

설명회실시장소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-13T06:28:15.735813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10
Min length6

Characters and Unicode

Total characters20
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row공고문 및 제안요청서 참조
2nd row공고문 참조
ValueCountFrequency (%)
공고문 2
33.3%
참조 2
33.3%
1
16.7%
제안요청서 1
16.7%
2023-12-13T06:28:16.016155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
20.0%
2
10.0%
2
10.0%
2
10.0%
2
10.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (2) 2
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
80.0%
Space Separator 4
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
80.0%
Common 4
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
80.0%
ASCII 4
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
100.0%
Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
Distinct662
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-28 00:00:00
Maximum2020-04-27 00:00:00
2023-12-13T06:28:16.149484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:16.281230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 08:00:00
Maximum2023-12-13 23:59:00
2023-12-13T06:28:16.402307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:16.520233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct268
Distinct (%)4.7%
Missing4281
Missing (%)42.8%
Memory size156.2 KiB
Minimum2019-01-08 00:00:00
Maximum2020-02-17 00:00:00
2023-12-13T06:28:16.663932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:16.804447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4281 
18:01
776 
18:04
691 
18:03
683 
18:02
562 
Other values (28)
3007 

Length

Max length5
Median length5
Mean length4.5719
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row18:05
2nd row18:06
3rd row18:11
4th row18:02
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4281
42.8%
18:01 776
 
7.8%
18:04 691
 
6.9%
18:03 683
 
6.8%
18:02 562
 
5.6%
18:07 521
 
5.2%
18:05 480
 
4.8%
18:11 321
 
3.2%
18:06 316
 
3.2%
18:10 296
 
3.0%
Other values (23) 1073
 
10.7%

Length

2023-12-13T06:28:16.921637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4281
42.8%
18:01 776
 
7.8%
18:04 691
 
6.9%
18:03 683
 
6.8%
18:02 562
 
5.6%
18:07 521
 
5.2%
18:05 480
 
4.8%
18:11 321
 
3.2%
18:06 316
 
3.2%
18:10 296
 
3.0%
Other values (23) 1073
 
10.7%
Distinct659
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-26 00:00:00
Maximum2020-04-24 00:00:00
2023-12-13T06:28:17.054291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:17.190475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct210
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 00:01:00
Maximum2023-12-13 21:03:00
2023-12-13T06:28:17.623980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:17.753767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct647
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-28 00:00:00
Maximum2020-04-28 00:00:00
2023-12-13T06:28:17.885418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:18.022826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct155
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 08:00:00
Maximum2023-12-13 21:12:00
2023-12-13T06:28:18.150510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:18.304647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct644
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-02-28 00:00:00
Maximum2020-05-08 00:00:00
2023-12-13T06:28:18.438220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:18.611715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct187
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 08:01:00
Maximum2023-12-13 21:12:00
2023-12-13T06:28:18.747919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:18.943732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개찰장소
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한전 전자조달시스템
6275 
본사 전자구매입찰 홈페이지
3697 
국가종합전자조달시스템(나라장터)
 
27
한국산업기술평가관리원 본원 5층 경영지원팀
 
1

Length

Max length23
Median length10
Mean length11.499
Min length10

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한전 전자조달시스템
2nd row한전 전자조달시스템
3rd row한전 전자조달시스템
4th row한전 전자조달시스템
5th row본사 전자구매입찰 홈페이지

Common Values

ValueCountFrequency (%)
한전 전자조달시스템 6275
62.7%
본사 전자구매입찰 홈페이지 3697
37.0%
국가종합전자조달시스템(나라장터) 27
 
0.3%
한국산업기술평가관리원 본원 5층 경영지원팀 1
 
< 0.1%

Length

2023-12-13T06:28:19.088281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:19.210871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한전 6275
26.5%
전자조달시스템 6275
26.5%
본사 3697
15.6%
전자구매입찰 3697
15.6%
홈페이지 3697
15.6%
국가종합전자조달시스템(나라장터 27
 
0.1%
한국산업기술평가관리원 1
 
< 0.1%
본원 1
 
< 0.1%
5층 1
 
< 0.1%
경영지원팀 1
 
< 0.1%

배정예산금액(설계금액)
Real number (ℝ)

MISSING  SKEWED 

Distinct4645
Distinct (%)74.0%
Missing3725
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean4.2993152 × 108
Minimum914
Maximum4.18 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:28:19.332438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum914
5-th percentile15892402
Q130317153
median69364038
Q31.9374985 × 108
95-th percentile1.1669337 × 109
Maximum4.18 × 1011
Range4.18 × 1011
Interquartile range (IQR)1.634327 × 108

Descriptive statistics

Standard deviation5.7689074 × 109
Coefficient of variation (CV)13.418201
Kurtosis4395.8828
Mean4.2993152 × 108
Median Absolute Deviation (MAD)46178238
Skewness62.086078
Sum2.6978203 × 1012
Variance3.3280293 × 1019
MonotonicityNot monotonic
2023-12-13T06:28:19.482762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24240045 76
 
0.8%
24240046 62
 
0.6%
27472052 54
 
0.5%
29088052 47
 
0.5%
22624039 41
 
0.4%
25856047 32
 
0.3%
22624040 31
 
0.3%
32320061 24
 
0.2%
45248083 23
 
0.2%
30704054 19
 
0.2%
Other values (4635) 5866
58.7%
(Missing) 3725
37.2%
ValueCountFrequency (%)
914 2
< 0.1%
942 1
< 0.1%
1380 1
< 0.1%
1444 2
< 0.1%
2200 1
< 0.1%
6866 1
< 0.1%
13244 2
< 0.1%
21010 1
< 0.1%
30635 2
< 0.1%
42185 1
< 0.1%
ValueCountFrequency (%)
418000000000 1
< 0.1%
89796834535 1
< 0.1%
72493748218 1
< 0.1%
65201315300 1
< 0.1%
58702308610 1
< 0.1%
52296725800 1
< 0.1%
40822400969 1
< 0.1%
37540433515 1
< 0.1%
32904707370 2
< 0.1%
26290550000 1
< 0.1%

추정가격
Real number (ℝ)

MISSING  SKEWED 

Distinct4349
Distinct (%)72.6%
Missing4006
Missing (%)40.1%
Infinite0
Infinite (%)0.0%
Mean2.7903579 × 108
Minimum0
Maximum4.7542478 × 1010
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:28:19.659837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14308400
Q127425426
median62042755
Q31.7618894 × 108
95-th percentile1.0613224 × 109
Maximum4.7542478 × 1010
Range4.7542478 × 1010
Interquartile range (IQR)1.4876351 × 108

Descriptive statistics

Standard deviation1.1897424 × 109
Coefficient of variation (CV)4.2637629
Kurtosis616.9282
Mean2.7903579 × 108
Median Absolute Deviation (MAD)41109428
Skewness20.62301
Sum1.6725405 × 1012
Variance1.4154871 × 1018
MonotonicityNot monotonic
2023-12-13T06:28:19.812948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22036405.0 140
 
1.4%
20567309.0 72
 
0.7%
24974593.0 55
 
0.5%
26443684.0 50
 
0.5%
23505498.0 49
 
0.5%
27912777.0 30
 
0.3%
41134621.0 24
 
0.2%
29381874.0 24
 
0.2%
36727343.0 21
 
0.2%
35258249.0 20
 
0.2%
Other values (4339) 5509
55.1%
(Missing) 4006
40.1%
ValueCountFrequency (%)
0.0 2
< 0.1%
6242.0 1
 
< 0.1%
6350.0 2
< 0.1%
9510.0 1
 
< 0.1%
35155.0 3
< 0.1%
62361.0 2
< 0.1%
62722.0 1
 
< 0.1%
66516.0 1
 
< 0.1%
80000.0 1
 
< 0.1%
97000.0 2
< 0.1%
ValueCountFrequency (%)
47542478000.0 1
< 0.1%
29913370336.0 2
< 0.1%
23900500000.0 1
< 0.1%
23476540000.0 1
< 0.1%
21038480000.0 1
< 0.1%
10877050000.0 1
< 0.1%
10558190000.0 1
< 0.1%
9974491680.0 1
< 0.1%
9603300000.0 1
< 0.1%
9468056342.0 2
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
복수예가
6275 
<NA>
3725 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복수예가
2nd row복수예가
3rd row복수예가
4th row복수예가
5th row<NA>

Common Values

ValueCountFrequency (%)
복수예가 6275
62.7%
<NA> 3725
37.2%

Length

2023-12-13T06:28:19.958047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:20.078802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복수예가 6275
62.7%
na 3725
37.2%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4136 
Y
3488 
N
2351 
 
25

Length

Max length4
Median length1
Mean length2.2408
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowN
4th rowY
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4136
41.4%
Y 3488
34.9%
N 2351
23.5%
25
 
0.2%

Length

2023-12-13T06:28:20.208698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:20.336374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4136
41.5%
y 3488
35.0%
n 2351
23.6%

참가가능지역명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6528 
경기
 
632
서울
 
306
경북
 
304
경남
 
296
Other values (35)
1934 

Length

Max length11
Median length4
Mean length3.3638
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row경남
2nd row경북
3rd row<NA>
4th row경기
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6528
65.3%
경기 632
 
6.3%
서울 306
 
3.1%
경북 304
 
3.0%
경남 296
 
3.0%
강원 283
 
2.8%
전남 266
 
2.7%
충남 251
 
2.5%
전북 237
 
2.4%
충북 190
 
1.9%
Other values (30) 707
 
7.1%

Length

2023-12-13T06:28:20.475206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6528
65.3%
경기 632
 
6.3%
서울 306
 
3.1%
경북 304
 
3.0%
경남 296
 
3.0%
강원 283
 
2.8%
전남 266
 
2.7%
충남 251
 
2.5%
전북 237
 
2.4%
충북 190
 
1.9%
Other values (30) 707
 
7.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Y
5402 
<NA>
4136 
N
 
437
 
25

Length

Max length4
Median length1
Mean length2.2408
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th row<NA>

Common Values

ValueCountFrequency (%)
Y 5402
54.0%
<NA> 4136
41.4%
N 437
 
4.4%
25
 
0.2%

Length

2023-12-13T06:28:20.588677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:20.695213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5402
54.2%
na 4136
41.5%
n 437
 
4.4%

투찰가능업종명
Text

MISSING 

Distinct195
Distinct (%)3.6%
Missing4644
Missing (%)46.4%
Memory size156.2 KiB
2023-12-13T06:28:20.898310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length173
Median length131
Mean length12.209485
Min length3

Characters and Unicode

Total characters65394
Distinct characters199
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)1.3%

Sample

1st row감리업(전력전문감리)
2nd row감리업(전력전문감리)
3rd row감리업(전력전문감리)
4th row건물위생관리업
5th row전기공사업
ValueCountFrequency (%)
전기공사업 1834
33.3%
감리업(전력전문감리 1108
20.1%
엔지니어링사업(전기설비 369
 
6.7%
비파괴검사업 176
 
3.2%
포장공사업 171
 
3.1%
정보통신공사업 153
 
2.8%
감리업(전력종합감리 118
 
2.1%
건물위생관리업 87
 
1.6%
측량업(기타-수치지도제작업),측량업(기타-지하시설물측량업),측량업(측지측량업 87
 
1.6%
전기공사업,조경식재공사업 78
 
1.4%
Other values (209) 1330
24.1%
2023-12-13T06:28:21.266613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7451
 
11.4%
5428
 
8.3%
4128
 
6.3%
3914
 
6.0%
) 3512
 
5.4%
( 3512
 
5.4%
3261
 
5.0%
3073
 
4.7%
2664
 
4.1%
1668
 
2.6%
Other values (189) 26783
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55670
85.1%
Close Punctuation 3512
 
5.4%
Open Punctuation 3512
 
5.4%
Other Punctuation 1811
 
2.8%
Dash Punctuation 596
 
0.9%
Space Separator 155
 
0.2%
Decimal Number 138
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7451
 
13.4%
5428
 
9.8%
4128
 
7.4%
3914
 
7.0%
3261
 
5.9%
3073
 
5.5%
2664
 
4.8%
1668
 
3.0%
1536
 
2.8%
1534
 
2.8%
Other values (180) 21013
37.7%
Other Punctuation
ValueCountFrequency (%)
, 1643
90.7%
. 153
 
8.4%
· 15
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 134
97.1%
2 4
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 3512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 596
100.0%
Space Separator
ValueCountFrequency (%)
155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55670
85.1%
Common 9724
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7451
 
13.4%
5428
 
9.8%
4128
 
7.4%
3914
 
7.0%
3261
 
5.9%
3073
 
5.5%
2664
 
4.8%
1668
 
3.0%
1536
 
2.8%
1534
 
2.8%
Other values (180) 21013
37.7%
Common
ValueCountFrequency (%)
) 3512
36.1%
( 3512
36.1%
, 1643
16.9%
- 596
 
6.1%
155
 
1.6%
. 153
 
1.6%
1 134
 
1.4%
· 15
 
0.2%
2 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55670
85.1%
ASCII 9709
 
14.8%
None 15
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7451
 
13.4%
5428
 
9.8%
4128
 
7.4%
3914
 
7.0%
3261
 
5.9%
3073
 
5.5%
2664
 
4.8%
1668
 
3.0%
1536
 
2.8%
1534
 
2.8%
Other values (180) 21013
37.7%
ASCII
ValueCountFrequency (%)
) 3512
36.2%
( 3512
36.2%
, 1643
16.9%
- 596
 
6.1%
155
 
1.6%
. 153
 
1.6%
1 134
 
1.4%
2 4
 
< 0.1%
None
ValueCountFrequency (%)
· 15
100.0%

입찰공고URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

데이터기준일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2020-02-27
6275 
2020-03-18
3697 
2018-01-01
 
25
2020-04-03
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-02-27
2nd row2020-02-27
3rd row2020-02-27
4th row2020-02-27
5th row2020-03-18

Common Values

ValueCountFrequency (%)
2020-02-27 6275
62.7%
2020-03-18 3697
37.0%
2018-01-01 25
 
0.2%
2020-04-03 3
 
< 0.1%

Length

2023-12-13T06:28:21.402786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:21.504304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-02-27 6275
62.7%
2020-03-18 3697
37.0%
2018-01-01 25
 
0.2%
2020-04-03 3
 
< 0.1%

제공기관코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B410002
6275 
B500001
3697 
B552534
 
25
B552003
 
3

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB410002
2nd rowB410002
3rd rowB410002
4th rowB410002
5th rowB500001

Common Values

ValueCountFrequency (%)
B410002 6275
62.7%
B500001 3697
37.0%
B552534 25
 
0.2%
B552003 3
 
< 0.1%

Length

2023-12-13T06:28:21.594353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:21.686590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b410002 6275
62.7%
b500001 3697
37.0%
b552534 25
 
0.2%
b552003 3
 
< 0.1%

제공기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국전력공사
6275 
한국수자원공사
3697 
한국산업기술평가관리원
 
25
경기도시공사
 
3

Length

Max length11
Median length6
Mean length6.3822
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국전력공사
2nd row한국전력공사
3rd row한국전력공사
4th row한국전력공사
5th row한국수자원공사

Common Values

ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%

Length

2023-12-13T06:28:21.807478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:21.916475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국전력공사 6275
62.7%
한국수자원공사 3697
37.0%
한국산업기술평가관리원 25
 
0.2%
경기도시공사 3
 
< 0.1%

Sample

입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자입찰공고시각업무구분명국제입찰여부공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명공고기관담당자전화번호공고기관담당자이메일주소수요기관명수요기관코드수요기관담당자부서명수요기관담당자명수요기관담당자전화번호수요기관담당자이메일주소설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각공동수급협정마감일자공동수급협정마감시각입찰개시일자입찰개시시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소배정예산금액(설계금액)추정가격예정가격결정방법명지역제한여부참가가능지역명업종제한여부투찰가능업종명입찰공고URL데이터기준일자제공기관코드제공기관명
23555E011903703<NA><NA><NA>Y북부동 도시계획(중1-17호선)개설 지장공사 감리용역일반공고2019-05-1517:05용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002부산울산본부최윤정051-160-0453yunjeong09@kepco.co.kr한국전력공사B410002부산울산본부최윤정051-160-0453yunjeong09@kepco.co.krN<NA><NA><NA>2019-05-2218:052019-05-2218:052019-05-1517:052019-05-2310:052019-05-2311:05한전 전자조달시스템2747205224974593.0복수예가Y경남Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
22582E011904631<NA><NA><NA>Y풍천광덕 광덕태양광 99kW PPA 연계공사 감리용역일반공고2019-06-1814:06용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002경북본부권소희054-485-5023ksh215@kepco.co.kr한국전력공사B410002경북본부권소희054-485-5023ksh215@kepco.co.krN<NA><NA><NA>2019-06-2518:062019-06-2518:062019-06-1814:062019-06-2614:062019-06-2615:06한전 전자조달시스템2262403920567309.0복수예가Y경북Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
18412E011908627<NA><NA><NA>Y사곡계실 한국국토정보공사 신규 1회선 신설공사 감리용역(공주지사)일반공고2019-11-1917:11용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002대전세종충남본부김은혜042-262-2023eunhye.kim@kepco.co.kr한국전력공사B410002대전세종충남본부김은혜042-262-2023eunhye.kim@kepco.co.krN<NA><NA><NA>2019-11-2618:112019-11-2618:112019-11-1917:112019-11-2710:112019-11-2711:11한전 전자조달시스템179376355163069414.0복수예가N<NA>Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
22008E011900985<NA><NA><NA>Y2019년도 부천지사 사옥청소 용역일반공고2019-02-1314:02용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002인천본부강태휘032-252-2073this@kepco.co.kr한국전력공사B410002인천본부강태휘032-252-2073this@kepco.co.krN<NA><NA><NA>2019-02-2018:022019-02-2018:022019-02-1314:022019-02-2110:022019-02-2111:02한전 전자조달시스템9490387686276251.0복수예가Y경기Y건물위생관리업<NA>2020-02-27B410002한국전력공사
71332017-2788<NA><NA><NA>N소양강댐 가설사무소 철거 건설폐기물 처리용역일반공고2017-09-2815:00용역<NA><NA><NA><NA>총액계약수의계약<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2017-09-2818:00<NA><NA>2017-09-2815:002017-09-2818:002017-09-2815:00본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
23497E011903476<NA><NA><NA>Y고창S/S 흥농D/L 계통보강공사일반공고2019-05-0716:05공사NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002전북본부김정수063-324-4052woori2385@kepco.co.kr한국전력공사B410002전북본부김정수063-324-4052woori2385@kepco.co.krN<NA><NA><NA>2019-05-1418:052019-05-1418:052019-05-0716:052019-05-1510:052019-05-1511:05한전 전자조달시스템927982158849409112.0복수예가Y전북Y전기공사업<NA>2020-02-27B410002한국전력공사
15887P011900310<NA><NA><NA>N유찰수의공고_전력그룹사 내부회계관리제도 재구축재입찰공고2019-08-0200:08용역NY분담이행Y총액계약수의계약협상에 의한 계약한국전력공사B410002자재처양효석061-134-4544didgytjr7@kepco.co.kr한국전력공사B410002자재처양효석061-134-4544didgytjr7@kepco.co.krN<NA><NA>공고문 및 제안요청서 참조2019-08-0615:08<NA><NA>2019-08-0211:082019-08-0615:082019-08-0615:08한전 전자조달시스템49863000004533000000.0복수예가N<NA>N<NA><NA>2020-02-27B410002한국전력공사
21741E011903003<NA><NA><NA>Y상동대사택 환경개선공사일반공고2019-04-1816:04공사NN공동수급불허Y총액계약제한경쟁최저가 낙찰제한국전력공사B410002제주본부유성래064-474-4033step21cc@kepco.co.kr한국전력공사B410002제주본부유성래064-474-4033step21cc@kepco.co.krN<NA><NA><NA>2019-04-2318:042019-04-2318:042019-04-1816:042019-04-2410:042019-04-2411:04한전 전자조달시스템2024220018402000.0복수예가Y제주Y도장공사업<NA>2020-02-27B410002한국전력공사
22953E011905197<NA><NA><NA>Y남창E/C 하현D/L 신재생연계 회선신설공사 감리용역 (해남지사)일반공고2019-07-1016:07용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002광주전남본부최유림062-226-6053yulim2@kepco.co.kr한국전력공사B410002광주전남본부최유림062-226-6053yulim2@kepco.co.krN<NA><NA><NA>2019-07-1718:072019-07-1718:072019-07-1016:072019-07-1810:072019-07-1811:07한전 전자조달시스템10504020395491094.0복수예가Y전남Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
11753B5201801636<NA><NA><NA>Y광역상수도 및 공업용수도 수도정비기본계획 수립방향 설정 및 기초조사일반공고2018-08-1309:00용역<NA><NA><NA><NA>총액계약제한경쟁<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2018-09-1710:00<NA><NA>2018-09-1215:002018-09-1710:002018-09-1711:05본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자입찰공고시각업무구분명국제입찰여부공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명공고기관담당자전화번호공고기관담당자이메일주소수요기관명수요기관코드수요기관담당자부서명수요기관담당자명수요기관담당자전화번호수요기관담당자이메일주소설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각공동수급협정마감일자공동수급협정마감시각입찰개시일자입찰개시시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소배정예산금액(설계금액)추정가격예정가격결정방법명지역제한여부참가가능지역명업종제한여부투찰가능업종명입찰공고URL데이터기준일자제공기관코드제공기관명
10370B5201902327<NA><NA><NA>N연천포천권지사 소방안전관리 대행용역일반공고2019-07-2509:00용역<NA><NA><NA><NA>총액계약수의계약<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-07-2914:00<NA><NA>2019-07-2510:002019-07-2914:002019-07-2510:00본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
1379E011900483<NA><NA><NA>Y2019년 지중케이블 VLF진단(전북본부_1차) 용역일반공고2019-01-2217:01용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002전북본부이형기063-324-4052hyeonggi.lee@kepco.co.kr한국전력공사B410002전북본부이형기063-324-4052hyeonggi.lee@kepco.co.krN<NA><NA><NA>2019-01-2918:012019-01-2918:012019-01-2217:012019-01-3010:012019-01-3011:01한전 전자조달시스템4807162243701475.0복수예가N<NA>Y엔지니어링사업(전기설비)<NA>2020-02-27B410002한국전력공사
7569B1201903585<NA><NA><NA>N사회안전망 서비스 무선통신센서 구매일반공고2019-11-0510:00물품<NA><NA><NA><NA>총액계약수의계약<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-11-0714:00<NA><NA>2019-11-0510:002019-11-0714:002019-11-0510:00본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
18076E011908258<NA><NA><NA>Y여의공동구내 비난연케이블 교체공사(2차)[지중설비부]일반공고2019-11-1117:11공사NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002남서울본부이동건02-278-8784dg.lee@kepco.co.kr한국전력공사B410002남서울본부이동건02-278-8784dg.lee@kepco.co.krN<NA><NA><NA>2019-11-1818:112019-11-1818:112019-11-1117:112019-11-1913:112019-11-1914:11한전 전자조달시스템347925384316295804.0복수예가Y서울Y전기공사업<NA>2020-02-27B410002한국전력공사
4604E011904273<NA><NA><NA>Y동천간97~115호간 지중화공사(서용인)일반공고2019-06-0414:06공사NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002경기본부김영규031-123-3083ygk@kepco.co.kr한국전력공사B410002경기본부김영규031-123-3083ygk@kepco.co.krN<NA><NA><NA>2019-06-1218:062019-06-1218:062019-06-0414:062019-06-1314:062019-06-1315:06한전 전자조달시스템295226870268388064.0복수예가Y경기Y전기공사업<NA>2020-02-27B410002한국전력공사
12589B5201802327<NA><NA><NA>Y댐주변지역 농특산품 직거래 장터 대행용역일반공고2018-10-2413:40용역<NA><NA><NA><NA>총액계약일반경쟁<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2018-10-3010:00<NA><NA>2018-10-2413:402018-10-3010:002018-10-3011:10본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
17853E011907963<NA><NA><NA>Y임학전력구 용마D/L 비난연케이블 교체공사 감리용역일반공고2019-10-2917:10용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002인천본부오보민032-252-2073bomin.oh@kepco.co.kr한국전력공사B410002인천본부오보민032-252-2073bomin.oh@kepco.co.krN<NA><NA><NA>2019-11-0518:112019-11-0518:112019-10-2917:102019-11-0614:112019-11-0615:11한전 전자조달시스템2585604723505498.0복수예가Y인천Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
6795B5201902705<NA><NA><NA>Y대하천 노출지 식생천이 모델개발 연구일반공고2019-08-2315:00용역<NA><NA><NA><NA>총액계약제한경쟁<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-09-0217:00<NA><NA>2019-08-2809:302019-09-0217:302019-09-0310:30본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사
15769E011905512<NA><NA><NA>Y동영월S/S 조동D/L 신재생 연계 보강공사 감리용역일반공고2019-07-2417:07용역NN공동수급불허Y총액계약제한경쟁적격심사제한국전력공사B410002강원본부이미숙033-325-5923misook.lee@kepco.co.kr한국전력공사B410002강원본부이미숙033-325-5923misook.lee@kepco.co.krN<NA><NA><NA>2019-07-3118:072019-07-3118:072019-07-2417:072019-08-0110:082019-08-0111:08한전 전자조달시스템113120219102836563.0복수예가N<NA>Y감리업(전력전문감리)<NA>2020-02-27B410002한국전력공사
14582B5201800751<NA><NA><NA>Y감포풍력 발전설비 점검정비용역일반공고2018-05-3011:30용역<NA><NA><NA><NA>총액계약제한경쟁<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2018-06-0710:00<NA><NA>2018-05-3014:002018-06-0710:002018-06-0711:00본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사

Duplicate rows

Most frequently occurring

입찰공고번호참조공고번호나라장터공고여부입찰공고명입찰공고상태명입찰공고일자입찰공고시각업무구분명국제입찰여부공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명공고기관담당자전화번호공고기관담당자이메일주소수요기관명수요기관코드수요기관담당자부서명수요기관담당자명수요기관담당자전화번호수요기관담당자이메일주소설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각공동수급협정마감일자공동수급협정마감시각입찰개시일자입찰개시시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소배정예산금액(설계금액)추정가격예정가격결정방법명지역제한여부참가가능지역명업종제한여부투찰가능업종명데이터기준일자제공기관코드제공기관명# duplicates
46B5201800272<NA>N2018년 청주권지사 구내식당 위탁관리 용역 시행일반공고2018-04-2315:00용역<NA><NA><NA><NA>총액계약수의계약<NA>한국수자원공사<NA><NA><NA><NA><NA>한국수자원공사<NA><NA><NA><NA><NA><NA><NA><NA><NA>2018-04-2418:00<NA><NA>2018-04-2315:002018-04-2418:002018-04-2315:00본사 전자구매입찰 홈페이지<NA><NA><NA><NA><NA><NA><NA>2020-03-18B500001한국수자원공사3
0A011901948<NA>YMicrogrid 실시간 시뮬레이터의 하드웨어/소프트웨어 유지보수일반공고2019-12-1010:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002전력연구원김태형042-286-6550ok123@kepco.co.kr한국전력공사B410002전력연구원김태형042-286-6550ok123@kepco.co.kr<NA><NA><NA><NA>2019-12-1115:12<NA><NA>2019-12-1010:122019-12-1116:122019-12-1116:12한전 전자조달시스템123044900111859000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
1A011901956<NA>Y765kV 감시제어반 노후설비 교체 (북경남S/S)재입찰공고2019-12-1110:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002자재처김경선061-134-4544seons1106@kepco.co.kr한국전력공사B410002자재처김경선061-134-4544seons1106@kepco.co.kr<NA><NA><NA><NA>2019-12-1813:12<NA><NA>2019-12-1110:122019-12-1813:122019-12-1813:12한전 전자조달시스템742500000675000000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
2A011901959<NA>Y154kV 전력용변압기,부품,충격압력계전기재입찰공고2019-12-1116:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002부산울산본부강규태051-160-0453freeace@kepco.co.kr한국전력공사B410002부산울산본부강규태051-160-0453freeace@kepco.co.kr<NA><NA><NA><NA>2019-12-1611:12<NA><NA>2019-12-1116:122019-12-1613:122019-12-1613:12한전 전자조달시스템3003000027300000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
3A011901962<NA>Y케이블 종단접속재(PLUG-IN,325SQ,CU) 4조외 1종(잠실S/S)재입찰공고2019-12-1209:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002남서울본부연보경02-278-8783bokyung.yun@kepco.co.kr한국전력공사B410002남서울본부연보경02-278-8783bokyung.yun@kepco.co.kr<NA><NA><NA><NA>2019-12-1610:12<NA><NA>2019-12-1209:122019-12-1610:122019-12-1610:12한전 전자조달시스템1870000017000000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
4A011901971<NA>Y케이블 종단접속재(건식분리형케이블접속재,Plug-In,600MM2,3상)재입찰공고2019-12-1217:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002경남본부박수화055-571-1723shpark13@kepco.co.kr한국전력공사B410002경남본부박수화055-571-1723shpark13@kepco.co.kr<NA><NA><NA><NA>2019-12-1615:12<NA><NA>2019-12-1217:122019-12-1616:122019-12-1616:12한전 전자조달시스템1386000012600000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
5A011901985<NA>Y유찰수의공고_관형지지물(154kV) 48.8ton (함양-거창T/L)일반공고2019-12-1700:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002자재처신유진061-345-1247raina@kepco.co.kr한국전력공사B410002자재처신유진061-345-1247raina@kepco.co.kr<NA><NA><NA><NA>2019-12-2015:12<NA><NA>2019-12-1709:122019-12-3016:122019-12-3016:12한전 전자조달시스템162728119143960000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
6A011902002<NA>Y유찰수의공고_22.9KV케이블,AITC-240,240MM2,18,0.35MM, 1971M일반공고2019-12-1800:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002경남본부박수화055-571-1723shpark13@kepco.co.kr한국전력공사B410002경남본부박수화055-571-1723shpark13@kepco.co.kr<NA><NA><NA><NA>2019-12-1913:12<NA><NA>2019-12-1815:122019-12-1915:122019-12-1915:12한전 전자조달시스템10560381496003468.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
7A011902007<NA>Y감시모듈(DIM),FPD/32 POINT/DIIU포함외10종[신김포S/S,양곡S/S]재입찰공고2019-12-1910:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002인천본부박수연032-252-2073coffeewhale@kepco.co.kr한국전력공사B410002인천본부박수연032-252-2073coffeewhale@kepco.co.kr<NA><NA><NA><NA>2019-12-2415:12<NA><NA>2019-12-1910:122019-12-2416:122019-12-2416:12한전 전자조달시스템4730000043000000.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2
8A011902010<NA>Y(유찰수의공고) 내후성강관전주,18M,1500KGF,녹안정,3단, 4BON일반공고2019-12-1900:12물품NN공동수급불허Y총액계약수의계약최저가 낙찰제한국전력공사B410002전북본부문다은063-324-4052m09072@kepco.co.kr한국전력공사B410002전북본부문다은063-324-4052m09072@kepco.co.kr<NA><NA><NA><NA>2019-12-2309:12<NA><NA>2019-12-1911:122019-12-2310:122019-12-2310:12한전 전자조달시스템1982920718117636.0복수예가<NA><NA><NA><NA>2020-02-27B410002한국전력공사2