Overview

Dataset statistics

Number of variables29
Number of observations4218
Missing cells2717
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory972.2 KiB
Average record size in memory236.0 B

Variable types

Text6
Numeric2
Boolean2
Categorical15
DateTime4

Dataset

Description방위사업청 및 각 군이 국외에서 조달하는 군수품에 대한 입찰공고 정보를 제공합니다.일찰공고번호,입찰공고차수,참조공고번호,참조공고차수,나라장터공고여부,일찰공고명 등 수록됨(입찰마감일자, 마감일시가 없는 정보는 비전자입찰 방식 등 계약관 미입력 정보임)
Author방위사업청
URLhttps://www.data.go.kr/data/15050922/fileData.do

Alerts

나라장터공고여부 has constant value ""Constant
업무구분명 has constant value ""Constant
공고기관명 has constant value ""Constant
공고기관코드 has constant value ""Constant
수요기관명 has constant value ""Constant
수요기관코드 has constant value ""Constant
개찰장소 has constant value ""Constant
입찰공고(URL) has constant value ""Constant
계약체결방법명 is highly imbalanced (51.9%)Imbalance
공고기관담당부서명 is highly imbalanced (51.2%)Imbalance
수요기관담당부서명 is highly imbalanced (51.2%)Imbalance
개찰시각 is highly imbalanced (58.8%)Imbalance
공고기관담당자명 has 291 (6.9%) missing valuesMissing
공고기관담당자전화번호 has 533 (12.6%) missing valuesMissing
수요기관담당자명 has 291 (6.9%) missing valuesMissing
입찰마감일자 has 1598 (37.9%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:10:28.091285
Analysis finished2024-04-06 08:10:29.538050
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct406
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2024-04-06T17:10:29.942531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters29526
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.7%

Sample

1st rowEFE0063
2nd rowEFE0063
3rd rowEFE0063
4th rowPED0002
5th rowPKE0001
ValueCountFrequency (%)
efd0001 612
 
14.5%
ehg0001 338
 
8.0%
efe0028 249
 
5.9%
efe0066 141
 
3.3%
ehg0002 130
 
3.1%
efd0002 124
 
2.9%
efe0017 87
 
2.1%
ehg0035 85
 
2.0%
efe0064 73
 
1.7%
efd0003 61
 
1.4%
Other values (396) 2318
55.0%
2024-04-06T17:10:30.739677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10594
35.9%
E 5602
19.0%
F 2369
 
8.0%
1 1827
 
6.2%
2 1099
 
3.7%
H 1088
 
3.7%
G 1085
 
3.7%
D 926
 
3.1%
3 676
 
2.3%
6 648
 
2.2%
Other values (20) 3612
 
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16953
57.4%
Uppercase Letter 12573
42.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 5602
44.6%
F 2369
18.8%
H 1088
 
8.7%
G 1085
 
8.6%
D 926
 
7.4%
A 580
 
4.6%
Q 268
 
2.1%
P 212
 
1.7%
L 109
 
0.9%
K 97
 
0.8%
Other values (10) 237
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 10594
62.5%
1 1827
 
10.8%
2 1099
 
6.5%
3 676
 
4.0%
6 648
 
3.8%
4 524
 
3.1%
8 516
 
3.0%
5 453
 
2.7%
7 379
 
2.2%
9 237
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 16953
57.4%
Latin 12573
42.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 5602
44.6%
F 2369
18.8%
H 1088
 
8.7%
G 1085
 
8.6%
D 926
 
7.4%
A 580
 
4.6%
Q 268
 
2.1%
P 212
 
1.7%
L 109
 
0.9%
K 97
 
0.8%
Other values (10) 237
 
1.9%
Common
ValueCountFrequency (%)
0 10594
62.5%
1 1827
 
10.8%
2 1099
 
6.5%
3 676
 
4.0%
6 648
 
3.8%
4 524
 
3.1%
8 516
 
3.0%
5 453
 
2.7%
7 379
 
2.2%
9 237
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10594
35.9%
E 5602
19.0%
F 2369
 
8.0%
1 1827
 
6.2%
2 1099
 
3.7%
H 1088
 
3.7%
G 1085
 
3.7%
D 926
 
3.1%
3 676
 
2.3%
6 648
 
2.2%
Other values (20) 3612
 
12.2%

입찰공고차수
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8117591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-06T17:10:30.994748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90404418
Coefficient of variation (CV)0.49898696
Kurtosis2.984252
Mean1.8117591
Median Absolute Deviation (MAD)1
Skewness1.3461815
Sum7642
Variance0.81729589
MonotonicityNot monotonic
2024-04-06T17:10:31.325992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1825
43.3%
2 1646
39.0%
3 519
 
12.3%
4 191
 
4.5%
5 25
 
0.6%
6 8
 
0.2%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 1825
43.3%
2 1646
39.0%
3 519
 
12.3%
4 191
 
4.5%
5 25
 
0.6%
6 8
 
0.2%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 8
 
0.2%
5 25
 
0.6%
4 191
 
4.5%
3 519
 
12.3%
2 1646
39.0%
1 1825
43.3%
Distinct1830
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2024-04-06T17:10:31.762788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length21.997866
Min length21

Characters and Unicode

Total characters92787
Distinct characters34
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)4.3%

Sample

1st row2016EFE0063BRA96354002
2nd row2016EFE0063BRA96354002
3rd row2016EFE0063BRA96354002
4th row2016PED0002DAA56002001
5th row2016PKE0001PKA56001004
ValueCountFrequency (%)
2020el20001bbal0004001 9
 
0.2%
2022ehg0001bedh2004002 6
 
0.1%
2021eqa0010baaq1008002 6
 
0.1%
2021eqa0016waaq1019002 6
 
0.1%
2022ehg0001bgdh2003002 6
 
0.1%
2017efd0001bbd87514003 5
 
0.1%
2021eqa0014baaq1016002 5
 
0.1%
2022ehg0001pcdh2002002 5
 
0.1%
2017efe0021bza97009001 5
 
0.1%
2017efe0021pza97009001 5
 
0.1%
Other values (1820) 4160
98.6%
2024-04-06T17:10:32.565943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28741
31.0%
2 10990
 
11.8%
1 8822
 
9.5%
E 5724
 
6.2%
A 4592
 
4.9%
9 3852
 
4.2%
8 3552
 
3.8%
D 3347
 
3.6%
7 2908
 
3.1%
F 2585
 
2.8%
Other values (24) 17674
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65809
70.9%
Uppercase Letter 26978
29.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 5724
21.2%
A 4592
17.0%
D 3347
12.4%
F 2585
9.6%
B 2317
8.6%
H 2184
 
8.1%
P 1424
 
5.3%
G 1229
 
4.6%
C 878
 
3.3%
K 664
 
2.5%
Other values (14) 2034
 
7.5%
Decimal Number
ValueCountFrequency (%)
0 28741
43.7%
2 10990
 
16.7%
1 8822
 
13.4%
9 3852
 
5.9%
8 3552
 
5.4%
7 2908
 
4.4%
3 2510
 
3.8%
4 1779
 
2.7%
5 1404
 
2.1%
6 1251
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 65809
70.9%
Latin 26978
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 5724
21.2%
A 4592
17.0%
D 3347
12.4%
F 2585
9.6%
B 2317
8.6%
H 2184
 
8.1%
P 1424
 
5.3%
G 1229
 
4.6%
C 878
 
3.3%
K 664
 
2.5%
Other values (14) 2034
 
7.5%
Common
ValueCountFrequency (%)
0 28741
43.7%
2 10990
 
16.7%
1 8822
 
13.4%
9 3852
 
5.9%
8 3552
 
5.4%
7 2908
 
4.4%
3 2510
 
3.8%
4 1779
 
2.7%
5 1404
 
2.1%
6 1251
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28741
31.0%
2 10990
 
11.8%
1 8822
 
9.5%
E 5724
 
6.2%
A 4592
 
4.9%
9 3852
 
4.2%
8 3552
 
3.8%
D 3347
 
3.6%
7 2908
 
3.1%
F 2585
 
2.8%
Other values (24) 17674
19.0%

참조공고차수
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8117591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2024-04-06T17:10:32.816947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90404418
Coefficient of variation (CV)0.49898696
Kurtosis2.984252
Mean1.8117591
Median Absolute Deviation (MAD)1
Skewness1.3461815
Sum7642
Variance0.81729589
MonotonicityNot monotonic
2024-04-06T17:10:33.061347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1825
43.3%
2 1646
39.0%
3 519
 
12.3%
4 191
 
4.5%
5 25
 
0.6%
6 8
 
0.2%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 1825
43.3%
2 1646
39.0%
3 519
 
12.3%
4 191
 
4.5%
5 25
 
0.6%
6 8
 
0.2%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 8
 
0.2%
5 25
 
0.6%
4 191
 
4.5%
3 519
 
12.3%
2 1646
39.0%
1 1825
43.3%

나라장터공고여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
True
4218 
ValueCountFrequency (%)
True 4218
100.0%
2024-04-06T17:10:33.317104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct491
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2024-04-06T17:10:33.851677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length22.734708
Min length3

Characters and Unicode

Total characters95895
Distinct characters112
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.6%

Sample

1st rowSMALL UAV DETECTION RADAR
2nd rowSMALL UAV DETECTION RADAR
3rd rowSMALL UAV DETECTION RADAR
4th rowWIDE AREA MULTILATERATION
5th row76MM철갑고폭탄
ValueCountFrequency (%)
for 1595
 
11.1%
s/p 1395
 
9.7%
equipment 668
 
4.7%
support 482
 
3.4%
kuh-1 291
 
2.0%
equipments 280
 
2.0%
aircraft 222
 
1.6%
eqp't 197
 
1.4%
huav 187
 
1.3%
air 163
 
1.1%
Other values (799) 8838
61.7%
2024-04-06T17:10:34.819490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10105
 
10.5%
E 7855
 
8.2%
R 7470
 
7.8%
T 6159
 
6.4%
I 5925
 
6.2%
P 5261
 
5.5%
A 5130
 
5.3%
S 5000
 
5.2%
O 4785
 
5.0%
N 4067
 
4.2%
Other values (102) 34138
35.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 77020
80.3%
Space Separator 10105
 
10.5%
Decimal Number 2501
 
2.6%
Other Punctuation 2228
 
2.3%
Other Letter 1489
 
1.6%
Dash Punctuation 1021
 
1.1%
Lowercase Letter 570
 
0.6%
Open Punctuation 341
 
0.4%
Close Punctuation 317
 
0.3%
Connector Punctuation 240
 
0.3%
Other values (2) 63
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
12.5%
156
10.5%
154
10.3%
154
10.3%
120
 
8.1%
120
 
8.1%
86
 
5.8%
81
 
5.4%
37
 
2.5%
32
 
2.1%
Other values (37) 363
24.4%
Uppercase Letter
ValueCountFrequency (%)
E 7855
 
10.2%
R 7470
 
9.7%
T 6159
 
8.0%
I 5925
 
7.7%
P 5261
 
6.8%
A 5130
 
6.7%
S 5000
 
6.5%
O 4785
 
6.2%
N 4067
 
5.3%
U 3853
 
5.0%
Other values (16) 21515
27.9%
Lowercase Letter
ValueCountFrequency (%)
n 90
15.8%
s 60
10.5%
p 60
10.5%
e 60
10.5%
i 60
10.5%
g 30
 
5.3%
v 30
 
5.3%
y 30
 
5.3%
o 30
 
5.3%
r 30
 
5.3%
Other values (3) 90
15.8%
Decimal Number
ValueCountFrequency (%)
1 802
32.1%
5 433
17.3%
0 331
13.2%
2 263
 
10.5%
6 187
 
7.5%
7 148
 
5.9%
9 119
 
4.8%
4 95
 
3.8%
3 91
 
3.6%
8 32
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 1561
70.1%
, 329
 
14.8%
' 197
 
8.8%
. 124
 
5.6%
" 10
 
0.4%
& 7
 
0.3%
Letter Number
ValueCountFrequency (%)
24
48.0%
24
48.0%
2
 
4.0%
Math Symbol
ValueCountFrequency (%)
+ 11
84.6%
× 2
 
15.4%
Space Separator
ValueCountFrequency (%)
10105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 341
100.0%
Close Punctuation
ValueCountFrequency (%)
) 317
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77640
81.0%
Common 16766
 
17.5%
Hangul 1489
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
12.5%
156
10.5%
154
10.3%
154
10.3%
120
 
8.1%
120
 
8.1%
86
 
5.8%
81
 
5.4%
37
 
2.5%
32
 
2.1%
Other values (37) 363
24.4%
Latin
ValueCountFrequency (%)
E 7855
 
10.1%
R 7470
 
9.6%
T 6159
 
7.9%
I 5925
 
7.6%
P 5261
 
6.8%
A 5130
 
6.6%
S 5000
 
6.4%
O 4785
 
6.2%
N 4067
 
5.2%
U 3853
 
5.0%
Other values (32) 22135
28.5%
Common
ValueCountFrequency (%)
10105
60.3%
/ 1561
 
9.3%
- 1021
 
6.1%
1 802
 
4.8%
5 433
 
2.6%
( 341
 
2.0%
0 331
 
2.0%
, 329
 
2.0%
) 317
 
1.9%
2 263
 
1.6%
Other values (13) 1263
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94354
98.4%
Hangul 1489
 
1.6%
Number Forms 50
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10105
 
10.7%
E 7855
 
8.3%
R 7470
 
7.9%
T 6159
 
6.5%
I 5925
 
6.3%
P 5261
 
5.6%
A 5130
 
5.4%
S 5000
 
5.3%
O 4785
 
5.1%
N 4067
 
4.3%
Other values (51) 32597
34.5%
Hangul
ValueCountFrequency (%)
186
12.5%
156
10.5%
154
10.3%
154
10.3%
120
 
8.1%
120
 
8.1%
86
 
5.8%
81
 
5.4%
37
 
2.5%
32
 
2.1%
Other values (37) 363
24.4%
Number Forms
ValueCountFrequency (%)
24
48.0%
24
48.0%
2
 
4.0%
None
ValueCountFrequency (%)
× 2
100.0%
Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
재공고
1723 
정상공고
1713 
정정공고
627 
긴급공고
 
108
취소공고
 
40
Other values (2)
 
7

Length

Max length4
Median length4
Mean length3.5915126
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상공고
2nd row정정공고
3rd row취소공고
4th row정상공고
5th row정상공고

Common Values

ValueCountFrequency (%)
재공고 1723
40.8%
정상공고 1713
40.6%
정정공고 627
 
14.9%
긴급공고 108
 
2.6%
취소공고 40
 
0.9%
<NA> 4
 
0.1%
연기공고 3
 
0.1%

Length

2024-04-06T17:10:35.111986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:35.334223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재공고 1723
40.8%
정상공고 1713
40.6%
정정공고 627
 
14.9%
긴급공고 108
 
2.6%
취소공고 40
 
0.9%
na 4
 
0.1%
연기공고 3
 
0.1%
Distinct708
Distinct (%)16.8%
Missing4
Missing (%)0.1%
Memory size33.1 KiB
Minimum2016-11-04 00:00:00
Maximum2023-09-15 00:00:00
2024-04-06T17:10:35.595870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:10:35.918292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
외자
4218 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외자 4218
100.0%

Length

2024-04-06T17:10:36.258764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:36.576187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외자 4218
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
False
2499 
True
1719 
ValueCountFrequency (%)
False 2499
59.2%
True 1719
40.8%
2024-04-06T17:10:36.724226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
총액제
2291 
단가제
1927 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액제 2291
54.3%
단가제 1927
45.7%

Length

2024-04-06T17:10:36.920458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:37.107346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액제 2291
54.3%
단가제 1927
45.7%

계약체결방법명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2단계경쟁(동시)
2436 
일반경쟁
1572 
협상에의한계약(서류)
 
175
2단계경쟁(분리)
 
27
지명경쟁
 
6

Length

Max length11
Median length9
Mean length7.2100522
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지명경쟁
2nd row지명경쟁
3rd row지명경쟁
4th row협상에의한계약(서류)
5th row협상에의한계약(서류)

Common Values

ValueCountFrequency (%)
2단계경쟁(동시) 2436
57.8%
일반경쟁 1572
37.3%
협상에의한계약(서류) 175
 
4.1%
2단계경쟁(분리) 27
 
0.6%
지명경쟁 6
 
0.1%
수의계약 2
 
< 0.1%

Length

2024-04-06T17:10:37.332725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:37.551153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2단계경쟁(동시 2436
57.8%
일반경쟁 1572
37.3%
협상에의한계약(서류 175
 
4.1%
2단계경쟁(분리 27
 
0.6%
지명경쟁 6
 
0.1%
수의계약 2
 
< 0.1%

공고기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
방위사업청
4218 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방위사업청 4218
100.0%

Length

2024-04-06T17:10:37.932441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:38.647892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방위사업청 4218
100.0%

공고기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
1690000
4218 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1690000
2nd row1690000
3rd row1690000
4th row1690000
5th row1690000

Common Values

ValueCountFrequency (%)
1690000 4218
100.0%

Length

2024-04-06T17:10:38.919388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:39.129840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1690000 4218
100.0%

공고기관담당부서명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
국제장비계약팀(구:19.09.16)
1469 
미래전력사업국제계약팀
1085 
국제부품계약팀(구:19.09.16)
900 
헬기총괄계약팀
266 
화력총괄계약팀
 
93
Other values (35)
405 

Length

Max length24
Median length19
Mean length15.144618
Min length5

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row국제장비계약팀(구:19.09.16)
2nd row국제장비계약팀(구:19.09.16)
3rd row국제장비계약팀(구:19.09.16)
4th row공중지휘통제감시사업팀 (구:19.09.16)
5th row탄약사업팀 (구:19.09.16)

Common Values

ValueCountFrequency (%)
국제장비계약팀(구:19.09.16) 1469
34.8%
미래전력사업국제계약팀 1085
25.7%
국제부품계약팀(구:19.09.16) 900
21.3%
헬기총괄계약팀 266
 
6.3%
화력총괄계약팀 93
 
2.2%
항공기총괄계약팀 87
 
2.1%
기동총괄계약팀 64
 
1.5%
연구개발총괄계약팀 30
 
0.7%
과학화체계사업팀 (구:19.09.16) 28
 
0.7%
함정총괄계약팀 25
 
0.6%
Other values (30) 171
 
4.1%

Length

2024-04-06T17:10:39.404150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국제장비계약팀(구:19.09.16 1469
34.1%
미래전력사업국제계약팀 1085
25.2%
국제부품계약팀(구:19.09.16 900
20.9%
헬기총괄계약팀 266
 
6.2%
화력총괄계약팀 93
 
2.2%
구:19.09.16 93
 
2.2%
항공기총괄계약팀 87
 
2.0%
기동총괄계약팀 64
 
1.5%
연구개발총괄계약팀 30
 
0.7%
과학화체계사업팀 28
 
0.6%
Other values (31) 196
 
4.5%
Distinct148
Distinct (%)3.8%
Missing291
Missing (%)6.9%
Memory size33.1 KiB
2024-04-06T17:10:39.987498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.986249
Min length2

Characters and Unicode

Total characters11727
Distinct characters121
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

Unique10 ?
Unique (%)0.3%

Sample

1st row안용운
2nd row안용운
3rd row안용운
4th row조순임
5th row이승렬
ValueCountFrequency (%)
남원석 294
 
7.5%
박민주 268
 
6.8%
황병순 167
 
4.3%
문선희 119
 
3.0%
전명진 112
 
2.9%
이상재 87
 
2.2%
이후정 85
 
2.2%
박경구 84
 
2.1%
전병서 80
 
2.0%
김현승 79
 
2.0%
Other values (138) 2552
65.0%
2024-04-06T17:10:40.787924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11727
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11727
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11727
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%
Distinct126
Distinct (%)3.4%
Missing533
Missing (%)12.6%
Memory size33.1 KiB
2024-04-06T17:10:41.255940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.396201
Min length4

Characters and Unicode

Total characters41995
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

Unique8 ?
Unique (%)0.2%

Sample

1st row02-2079-5634
2nd row02-2079-5634
3rd row02-2079-5634
4th row02-2079-4389
5th row02-2079-5311
ValueCountFrequency (%)
02-2079-4822 306
 
8.3%
02-2079-6927 268
 
7.3%
02-2079-4428 167
 
4.5%
2079-6833 119
 
3.2%
02-2079-4427 112
 
3.0%
904-4445 87
 
2.4%
02-2079-6836 85
 
2.3%
02-2079-4053 84
 
2.3%
02-2079-6812 80
 
2.2%
02-2079-4447 79
 
2.1%
Other values (116) 2298
62.4%
2024-04-06T17:10:42.126874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8879
21.1%
0 7506
17.9%
- 6766
16.1%
7 4815
11.5%
9 4191
10.0%
4 3273
 
7.8%
6 1779
 
4.2%
5 1419
 
3.4%
8 1412
 
3.4%
3 1225
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35229
83.9%
Dash Punctuation 6766
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8879
25.2%
0 7506
21.3%
7 4815
13.7%
9 4191
11.9%
4 3273
 
9.3%
6 1779
 
5.0%
5 1419
 
4.0%
8 1412
 
4.0%
3 1225
 
3.5%
1 730
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 6766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8879
21.1%
0 7506
17.9%
- 6766
16.1%
7 4815
11.5%
9 4191
10.0%
4 3273
 
7.8%
6 1779
 
4.2%
5 1419
 
3.4%
8 1412
 
3.4%
3 1225
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8879
21.1%
0 7506
17.9%
- 6766
16.1%
7 4815
11.5%
9 4191
10.0%
4 3273
 
7.8%
6 1779
 
4.2%
5 1419
 
3.4%
8 1412
 
3.4%
3 1225
 
2.9%

수요기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
방위사업청
4218 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방위사업청 4218
100.0%

Length

2024-04-06T17:10:42.494477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:42.685979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방위사업청 4218
100.0%

수요기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
1690000
4218 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1690000
2nd row1690000
3rd row1690000
4th row1690000
5th row1690000

Common Values

ValueCountFrequency (%)
1690000 4218
100.0%

Length

2024-04-06T17:10:42.994404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:43.222615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1690000 4218
100.0%

수요기관담당부서명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
국제장비계약팀(구:19.09.16)
1469 
미래전력사업국제계약팀
1085 
국제부품계약팀(구:19.09.16)
900 
헬기총괄계약팀
266 
화력총괄계약팀
 
93
Other values (35)
405 

Length

Max length24
Median length19
Mean length15.144618
Min length5

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row국제장비계약팀(구:19.09.16)
2nd row국제장비계약팀(구:19.09.16)
3rd row국제장비계약팀(구:19.09.16)
4th row공중지휘통제감시사업팀 (구:19.09.16)
5th row탄약사업팀 (구:19.09.16)

Common Values

ValueCountFrequency (%)
국제장비계약팀(구:19.09.16) 1469
34.8%
미래전력사업국제계약팀 1085
25.7%
국제부품계약팀(구:19.09.16) 900
21.3%
헬기총괄계약팀 266
 
6.3%
화력총괄계약팀 93
 
2.2%
항공기총괄계약팀 87
 
2.1%
기동총괄계약팀 64
 
1.5%
연구개발총괄계약팀 30
 
0.7%
과학화체계사업팀 (구:19.09.16) 28
 
0.7%
함정총괄계약팀 25
 
0.6%
Other values (30) 171
 
4.1%

Length

2024-04-06T17:10:43.541884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국제장비계약팀(구:19.09.16 1469
34.1%
미래전력사업국제계약팀 1085
25.2%
국제부품계약팀(구:19.09.16 900
20.9%
헬기총괄계약팀 266
 
6.2%
화력총괄계약팀 93
 
2.2%
구:19.09.16 93
 
2.2%
항공기총괄계약팀 87
 
2.0%
기동총괄계약팀 64
 
1.5%
연구개발총괄계약팀 30
 
0.7%
과학화체계사업팀 28
 
0.6%
Other values (31) 196
 
4.5%
Distinct148
Distinct (%)3.8%
Missing291
Missing (%)6.9%
Memory size33.1 KiB
2024-04-06T17:10:44.209981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.986249
Min length2

Characters and Unicode

Total characters11727
Distinct characters121
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

Unique10 ?
Unique (%)0.3%

Sample

1st row안용운
2nd row안용운
3rd row안용운
4th row조순임
5th row이승렬
ValueCountFrequency (%)
남원석 294
 
7.5%
박민주 268
 
6.8%
황병순 167
 
4.3%
문선희 119
 
3.0%
전명진 112
 
2.9%
이상재 87
 
2.2%
이후정 85
 
2.2%
박경구 84
 
2.1%
전병서 80
 
2.0%
김현승 79
 
2.0%
Other values (138) 2552
65.0%
2024-04-06T17:10:45.089541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11727
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11727
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11727
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
673
 
5.7%
639
 
5.4%
536
 
4.6%
522
 
4.5%
416
 
3.5%
362
 
3.1%
331
 
2.8%
330
 
2.8%
329
 
2.8%
321
 
2.7%
Other values (111) 7268
62.0%
Distinct643
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
Minimum2017-01-10 00:00:00
Maximum2023-09-26 00:00:00
2024-04-06T17:10:45.372126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:10:45.633581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
15:00:00
1467 
14:00:00
1287 
16:00:00
563 
10:00:00
340 
12:00:00
171 
Other values (9)
390 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row15:00:00
2nd row17:00:00
3rd row17:00:00
4th row15:00:00
5th row15:00:00

Common Values

ValueCountFrequency (%)
15:00:00 1467
34.8%
14:00:00 1287
30.5%
16:00:00 563
 
13.3%
10:00:00 340
 
8.1%
12:00:00 171
 
4.1%
14:30:00 136
 
3.2%
18:00:00 115
 
2.7%
13:00:00 59
 
1.4%
11:00:00 34
 
0.8%
17:00:00 33
 
0.8%
Other values (4) 13
 
0.3%

Length

2024-04-06T17:10:45.856952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15:00:00 1467
34.8%
14:00:00 1287
30.5%
16:00:00 563
 
13.3%
10:00:00 340
 
8.1%
12:00:00 171
 
4.1%
14:30:00 136
 
3.2%
18:00:00 115
 
2.7%
13:00:00 59
 
1.4%
11:00:00 34
 
0.8%
17:00:00 33
 
0.8%
Other values (4) 13
 
0.3%

입찰마감일자
Date

MISSING 

Distinct312
Distinct (%)11.9%
Missing1598
Missing (%)37.9%
Memory size33.1 KiB
Minimum2015-09-25 00:00:00
Maximum2023-09-27 00:00:00
2024-04-06T17:10:46.083462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:10:46.357905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
<NA>
1606 
12:00:00
1385 
14:00:00
541 
15:00:00
365 
13:00:00
169 
Other values (10)
 
152

Length

Max length8
Median length8
Mean length6.4770033
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row17:00:00
3rd row17:00:00
4th row15:00:00
5th row15:00:00

Common Values

ValueCountFrequency (%)
<NA> 1606
38.1%
12:00:00 1385
32.8%
14:00:00 541
 
12.8%
15:00:00 365
 
8.7%
13:00:00 169
 
4.0%
10:00:00 57
 
1.4%
17:00:00 31
 
0.7%
16:00:00 19
 
0.5%
18:00:00 18
 
0.4%
11:00:00 11
 
0.3%
Other values (5) 16
 
0.4%

Length

2024-04-06T17:10:46.637564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1606
38.1%
12:00:00 1385
32.8%
14:00:00 541
 
12.8%
15:00:00 365
 
8.7%
13:00:00 169
 
4.0%
10:00:00 57
 
1.4%
17:00:00 31
 
0.7%
16:00:00 19
 
0.5%
18:00:00 18
 
0.4%
11:00:00 11
 
0.3%
Other values (5) 16
 
0.4%
Distinct643
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
Minimum2017-01-04 00:00:00
Maximum2023-09-27 00:00:00
2024-04-06T17:10:46.910826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:10:47.141912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개찰시각
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
14:00:00
2765 
15:00:00
761 
10:00:00
366 
16:00:00
 
132
11:00:00
 
50
Other values (11)
 
144

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15:00:00
2nd row17:00:00
3rd row17:00:00
4th row16:00:00
5th row12:00:00

Common Values

ValueCountFrequency (%)
14:00:00 2765
65.6%
15:00:00 761
 
18.0%
10:00:00 366
 
8.7%
16:00:00 132
 
3.1%
11:00:00 50
 
1.2%
13:00:00 46
 
1.1%
18:00:00 30
 
0.7%
17:00:00 17
 
0.4%
10:30:00 17
 
0.4%
09:00:00 8
 
0.2%
Other values (6) 26
 
0.6%

Length

2024-04-06T17:10:47.456457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
14:00:00 2765
65.6%
15:00:00 761
 
18.0%
10:00:00 366
 
8.7%
16:00:00 132
 
3.1%
11:00:00 50
 
1.2%
13:00:00 46
 
1.1%
18:00:00 30
 
0.7%
17:00:00 17
 
0.4%
10:30:00 17
 
0.4%
09:00:00 8
 
0.2%
Other values (6) 26
 
0.6%

개찰장소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
국방전자조달 시스템
4218 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방전자조달 시스템
2nd row국방전자조달 시스템
3rd row국방전자조달 시스템
4th row국방전자조달 시스템
5th row국방전자조달 시스템

Common Values

ValueCountFrequency (%)
국방전자조달 시스템 4218
100.0%

Length

2024-04-06T17:10:47.687336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:47.865387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방전자조달 4218
50.0%
시스템 4218
50.0%

입찰공고(URL)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4218 

Length

Max length47
Median length47
Mean length47
Min length47

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
2nd rowhttp://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
3rd rowhttp://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4th rowhttp://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
5th rowhttp://www.d2b.go.kr/pcb/bid/bidAnnounceList.do

Common Values

ValueCountFrequency (%)
http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do 4218
100.0%

Length

2024-04-06T17:10:48.074963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:10:48.258155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.d2b.go.kr/pcb/bid/bidannouncelist.do 4218
100.0%

Sample

일찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부일찰공고명입찰공고상태명입찰공고일자업무구분명전자입찰여부계약체결형태명계약체결방법명공고기관명공고기관코드공고기관담당부서명공고기관담당자명공고기관담당자전화번호수요기관명수요기관코드수요기관담당부서명수요기관담당자명입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소입찰공고(URL)
0EFE006312016EFE0063BRA963540021YSMALL UAV DETECTION RADAR정상공고2016-12-29외자N총액제지명경쟁방위사업청1690000국제장비계약팀(구:19.09.16)안용운02-2079-5634방위사업청1690000국제장비계약팀(구:19.09.16)안용운2017-02-2115:00:00<NA><NA>2017-02-2115:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
1EFE006322016EFE0063BRA963540022YSMALL UAV DETECTION RADAR정정공고2017-01-11외자N총액제지명경쟁방위사업청1690000국제장비계약팀(구:19.09.16)안용운02-2079-5634방위사업청1690000국제장비계약팀(구:19.09.16)안용운2017-03-0617:00:002017-03-0617:00:002017-03-0617:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
2EFE006332016EFE0063BRA963540023YSMALL UAV DETECTION RADAR취소공고2017-01-11외자N총액제지명경쟁방위사업청1690000국제장비계약팀(구:19.09.16)안용운02-2079-5634방위사업청1690000국제장비계약팀(구:19.09.16)안용운2017-03-0617:00:002017-03-0617:00:002017-03-0617:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
3PED000212016PED0002DAA560020011YWIDE AREA MULTILATERATION정상공고2016-11-21외자N총액제협상에의한계약(서류)방위사업청1690000공중지휘통제감시사업팀 (구:19.09.16)조순임<NA>방위사업청1690000공중지휘통제감시사업팀 (구:19.09.16)조순임2017-01-1015:00:002017-01-1015:00:002017-01-1016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4PKE000112016PKE0001PKA560010041Y76MM철갑고폭탄정상공고2016-12-06외자N총액제협상에의한계약(서류)방위사업청1690000탄약사업팀 (구:19.09.16)이승렬02-2079-4389방위사업청1690000탄약사업팀 (구:19.09.16)이승렬2017-01-2515:00:002017-01-2515:00:002017-01-2612:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
5EFD000112017EFD0001BGD870010031YS/P FOR MOBILE EQP'T정상공고2017-02-14외자Y단가제일반경쟁방위사업청1690000국제부품계약팀(구:19.09.16)현대환02-2079-5311방위사업청1690000국제부품계약팀(구:19.09.16)현대환2017-03-2915:00:002017-03-3015:00:002017-03-3016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
6EFD000112017EFD0001BGD870010021YS/P FOR MOBILE EQP'T정상공고2017-02-14외자Y단가제일반경쟁방위사업청1690000국제부품계약팀(구:19.09.16)현대환02-2079-5311방위사업청1690000국제부품계약팀(구:19.09.16)현대환2017-03-2915:00:002017-03-3015:00:002017-03-3016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
7EFD000112017EFD0001BGD870020021YS/P FOR TRACKED VEHICLE정상공고2017-02-14외자Y단가제일반경쟁방위사업청1690000국제부품계약팀(구:19.09.16)현대환02-2079-5311방위사업청1690000국제부품계약팀(구:19.09.16)현대환2017-03-2915:00:002017-03-3015:00:002017-03-3016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
8EFD000112017EFD0001BGD870020031YS/P FOR TRACKED VEHICLE정상공고2017-02-14외자Y단가제일반경쟁방위사업청1690000국제부품계약팀(구:19.09.16)현대환02-2079-5311방위사업청1690000국제부품계약팀(구:19.09.16)현대환2017-03-2915:00:002017-03-3015:00:002017-03-3016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
9EFD000112017EFD0001BAD875130011YS/P FOR ARMY HELICOPTER정상공고2017-02-14외자Y단가제일반경쟁방위사업청1690000국제부품계약팀(구:19.09.16)전명진02-2079-4427방위사업청1690000국제부품계약팀(구:19.09.16)전명진2017-03-2915:00:002017-03-3015:00:002017-03-3016:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
일찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부일찰공고명입찰공고상태명입찰공고일자업무구분명전자입찰여부계약체결형태명계약체결방법명공고기관명공고기관코드공고기관담당부서명공고기관담당자명공고기관담당자전화번호수요기관명수요기관코드수요기관담당부서명수요기관담당자명입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소입찰공고(URL)
4208EWA000322023EWA0003PCAW30050022YKSS-Ⅲ BATCH-ⅠS/E(FOR WHLS)재공고2023-05-31외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀한재경02-2079-5896방위사업청1690000연구개발총괄계약팀한재경2023-06-1214:00:00<NA><NA>2023-06-1314:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4209EWA000412023EWA0004PCAW30060021YKSS-Ⅲ BATCH-ⅠS/E(FOR ELECTRIC WARFARE SYSTEM)정상공고2023-04-17외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀한재경02-2079-5896방위사업청1690000연구개발총괄계약팀한재경2023-05-3014:00:00<NA><NA>2023-05-3114:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4210EWA000422023EWA0004PCAW30060022YKSS-Ⅲ BATCH-ⅠS/E(FOR ELECTRIC WARFARE SYSTEM)재공고2023-05-31외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀한재경02-2079-5896방위사업청1690000연구개발총괄계약팀한재경2023-06-1214:00:00<NA><NA>2023-06-1314:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4211EWA000512023EWA0005PCAW30070021YKSS-Ⅲ BATCH-Ⅰ S/E(FOR ELECTRONIC OPTICAL SYSTEM정상공고2023-04-28외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-06-1214:00:00<NA><NA>2023-06-1314:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4212EWA000522023EWA0005PCAW30070022YKSS-Ⅲ BATCH-Ⅰ S/E(FOR ELECTRONIC OPTICAL SYSTEM재공고2023-06-13외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-06-2614:00:00<NA><NA>2023-06-2714:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
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4214EWA000622023EWA0006PCAW30080022YKSS-Ⅲ BATCH-ⅠS/E(FOR NAVIGATION RADAR)재공고2023-09-12외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-09-2514:00:00<NA><NA>2023-09-2614:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4215EWA000812023EWA0008PCAW30100021YKSS-Ⅲ BATCH-Ⅰ S/E(FOR ELECTRONIC OPTICAL SYSTEM긴급공고2023-09-04외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-09-1414:00:00<NA><NA>2023-09-1514:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4216EWA000822023EWA0008PCAW30100022YKSS-Ⅲ BATCH-Ⅰ S/E(FOR ELECTRONIC OPTICAL SYSTEM재공고2023-09-15외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-09-2610:00:00<NA><NA>2023-09-2710:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do
4217EWA000912023EWA0009PCAW30110021YKSS-Ⅲ BATCH-ⅠS/E(FOR SHORE&CHARGING CONNECTION)긴급공고2023-09-05외자N총액제2단계경쟁(동시)방위사업청1690000연구개발총괄계약팀박찬미02-2079-5805방위사업청1690000연구개발총괄계약팀박찬미2023-09-1814:00:00<NA><NA>2023-09-1914:00:00국방전자조달 시스템http://www.d2b.go.kr/pcb/bid/bidAnnounceList.do