Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory114.0 B

Variable types

Text3
Numeric2
Categorical7
DateTime1

Dataset

Description방위사업청 및 각 군이 국외에서 조달하는 군수품에 대한 입찰결과 정보를 제공합니다.공고번호,판단번호,항목번호,입찰건명,발주기관,계약방법,입찰방법,낙찰방법,개찰일시,단가제유형,사전심사,입찰결과,예산금액(달러)
Author방위사업청
URLhttps://www.data.go.kr/data/15050923/fileData.do

Alerts

낙찰방법 has constant value ""Constant
단가제유형 has constant value ""Constant
사전심사 has constant value ""Constant
계약방법 is highly overall correlated with 발주기관 and 1 other fieldsHigh correlation
발주기관 is highly overall correlated with 계약방법 and 1 other fieldsHigh correlation
입찰방법 is highly overall correlated with 발주기관 and 1 other fieldsHigh correlation
발주기관 is highly imbalanced (54.4%)Imbalance
계약방법 is highly imbalanced (96.8%)Imbalance
입찰방법 is highly imbalanced (98.5%)Imbalance

Reproduction

Analysis started2024-03-14 21:26:19.891943
Analysis finished2024-03-14 21:26:23.682456
Duration3.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:26:24.378640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.4%

Sample

1st rowEFD0001-1
2nd rowEHG0001-3
3rd rowEHG0035-1
4th rowEHG0001-2
5th rowEFD0001-1
ValueCountFrequency (%)
efd0001-1 1777
17.8%
ehg0001-1 1463
14.6%
efd0001-2 1325
13.2%
ehg0001-2 1150
11.5%
ehg0002-1 751
7.5%
ehg0002-2 558
 
5.6%
efd0001-3 503
 
5.0%
ehg0001-3 473
 
4.7%
efd0001-4 342
 
3.4%
ehg0001-4 301
 
3.0%
Other values (96) 1357
13.6%
2024-03-15T06:26:25.635472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29501
32.8%
1 12092
13.4%
E 10039
 
11.2%
- 10000
 
11.1%
2 5417
 
6.0%
H 5227
 
5.8%
G 5227
 
5.8%
F 4746
 
5.3%
D 4707
 
5.2%
3 1544
 
1.7%
Other values (9) 1500
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
55.6%
Uppercase Letter 30000
33.3%
Dash Punctuation 10000
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29501
59.0%
1 12092
24.2%
2 5417
 
10.8%
3 1544
 
3.1%
4 774
 
1.5%
5 402
 
0.8%
7 96
 
0.2%
8 84
 
0.2%
9 74
 
0.1%
6 16
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
E 10039
33.5%
H 5227
17.4%
G 5227
17.4%
F 4746
15.8%
D 4707
15.7%
A 27
 
0.1%
Q 15
 
< 0.1%
P 12
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
66.7%
Latin 30000
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29501
49.2%
1 12092
20.2%
- 10000
 
16.7%
2 5417
 
9.0%
3 1544
 
2.6%
4 774
 
1.3%
5 402
 
0.7%
7 96
 
0.2%
8 84
 
0.1%
9 74
 
0.1%
Latin
ValueCountFrequency (%)
E 10039
33.5%
H 5227
17.4%
G 5227
17.4%
F 4746
15.8%
D 4707
15.7%
A 27
 
0.1%
Q 15
 
< 0.1%
P 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29501
32.8%
1 12092
13.4%
E 10039
 
11.2%
- 10000
 
11.1%
2 5417
 
6.0%
H 5227
 
5.8%
G 5227
 
5.8%
F 4746
 
5.3%
D 4707
 
5.2%
3 1544
 
1.7%
Other values (9) 1500
 
1.7%
Distinct579
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:26:26.545984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110000
Distinct characters26
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

Unique163 ?
Unique (%)1.6%

Sample

1st rowBGD89102002
2nd rowBADH2002002
3rd rowPBDH3046002
4th rowBADH1011002
5th rowPBD88901001
ValueCountFrequency (%)
bad87910001 396
 
4.0%
pcdh2002002 327
 
3.3%
badh2002002 276
 
2.8%
badh1006002 206
 
2.1%
badh2001002 190
 
1.9%
bfdh2002002 189
 
1.9%
pcdh0001001 169
 
1.7%
pcdh0801002 168
 
1.7%
bed87001002 167
 
1.7%
badh0002001 164
 
1.6%
Other values (569) 7748
77.5%
2024-03-15T06:26:27.702700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33893
30.8%
2 10805
 
9.8%
D 10616
 
9.7%
1 9759
 
8.9%
8 7067
 
6.4%
B 6553
 
6.0%
H 5227
 
4.8%
A 3877
 
3.5%
P 3413
 
3.1%
9 3350
 
3.0%
Other values (16) 15440
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74746
68.0%
Uppercase Letter 35254
32.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 10616
30.1%
B 6553
18.6%
H 5227
14.8%
A 3877
 
11.0%
P 3413
 
9.7%
C 2266
 
6.4%
F 1181
 
3.3%
E 938
 
2.7%
G 611
 
1.7%
J 216
 
0.6%
Other values (6) 356
 
1.0%
Decimal Number
ValueCountFrequency (%)
0 33893
45.3%
2 10805
 
14.5%
1 9759
 
13.1%
8 7067
 
9.5%
9 3350
 
4.5%
7 3095
 
4.1%
3 2442
 
3.3%
5 1711
 
2.3%
4 1391
 
1.9%
6 1233
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 74746
68.0%
Latin 35254
32.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 10616
30.1%
B 6553
18.6%
H 5227
14.8%
A 3877
 
11.0%
P 3413
 
9.7%
C 2266
 
6.4%
F 1181
 
3.3%
E 938
 
2.7%
G 611
 
1.7%
J 216
 
0.6%
Other values (6) 356
 
1.0%
Common
ValueCountFrequency (%)
0 33893
45.3%
2 10805
 
14.5%
1 9759
 
13.1%
8 7067
 
9.5%
9 3350
 
4.5%
7 3095
 
4.1%
3 2442
 
3.3%
5 1711
 
2.3%
4 1391
 
1.9%
6 1233
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33893
30.8%
2 10805
 
9.8%
D 10616
 
9.7%
1 9759
 
8.9%
8 7067
 
6.4%
B 6553
 
6.0%
H 5227
 
4.8%
A 3877
 
3.5%
P 3413
 
3.1%
9 3350
 
3.0%
Other values (16) 15440
14.0%

항목번호
Real number (ℝ)

Distinct415
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.3008
Minimum1
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T06:26:28.153622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median47
Q3115
95-th percentile276
Maximum424
Range423
Interquartile range (IQR)101

Descriptive statistics

Standard deviation87.46159
Coefficient of variation (CV)1.1029093
Kurtosis1.8682285
Mean79.3008
Median Absolute Deviation (MAD)39
Skewness1.5272231
Sum793008
Variance7649.5297
MonotonicityNot monotonic
2024-03-15T06:26:28.542255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 424
 
4.2%
2 262
 
2.6%
3 246
 
2.5%
4 208
 
2.1%
5 181
 
1.8%
6 168
 
1.7%
9 163
 
1.6%
7 156
 
1.6%
8 142
 
1.4%
10 139
 
1.4%
Other values (405) 7911
79.1%
ValueCountFrequency (%)
1 424
4.2%
2 262
2.6%
3 246
2.5%
4 208
2.1%
5 181
1.8%
6 168
 
1.7%
7 156
 
1.6%
8 142
 
1.4%
9 163
 
1.6%
10 139
 
1.4%
ValueCountFrequency (%)
424 1
 
< 0.1%
422 2
 
< 0.1%
421 1
 
< 0.1%
418 2
 
< 0.1%
417 1
 
< 0.1%
416 1
 
< 0.1%
415 2
 
< 0.1%
414 4
< 0.1%
413 2
 
< 0.1%
412 5
0.1%
Distinct3130
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T06:26:29.499105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length17.2825
Min length3

Characters and Unicode

Total characters172825
Distinct characters207
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1391 ?
Unique (%)13.9%

Sample

1st rowACTUATOR,ELECTRO-MECHANICAL,LINEAR
2nd rowHOUSING ASSY
3rd rowKIT GUARNIZIONI SAD
4th rowPARTS KIT,DAMPER AS
5th rowSEALING RING
ValueCountFrequency (%)
assembly 405
 
2.3%
circuit 364
 
2.0%
card 332
 
1.9%
assy 250
 
1.4%
o-ring 250
 
1.4%
cable 196
 
1.1%
gasket 191
 
1.1%
filter 177
 
1.0%
tube 134
 
0.8%
power 130
 
0.7%
Other values (3419) 15437
86.4%
2024-03-15T06:26:30.927796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 17977
 
10.4%
R 13186
 
7.6%
A 13089
 
7.6%
I 12218
 
7.1%
T 11034
 
6.4%
S 10439
 
6.0%
L 10278
 
5.9%
N 9949
 
5.8%
C 8726
 
5.0%
O 8070
 
4.7%
Other values (197) 57859
33.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 154956
89.7%
Space Separator 7872
 
4.6%
Other Punctuation 7506
 
4.3%
Decimal Number 813
 
0.5%
Other Letter 792
 
0.5%
Dash Punctuation 623
 
0.4%
Lowercase Letter 114
 
0.1%
Open Punctuation 78
 
< 0.1%
Close Punctuation 67
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
6.1%
36
 
4.5%
28
 
3.5%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.0%
23
 
2.9%
23
 
2.9%
22
 
2.8%
Other values (126) 511
64.5%
Uppercase Letter
ValueCountFrequency (%)
E 17977
11.6%
R 13186
 
8.5%
A 13089
 
8.4%
I 12218
 
7.9%
T 11034
 
7.1%
S 10439
 
6.7%
L 10278
 
6.6%
N 9949
 
6.4%
C 8726
 
5.6%
O 8070
 
5.2%
Other values (17) 39990
25.8%
Lowercase Letter
ValueCountFrequency (%)
m 54
47.4%
i 8
 
7.0%
o 7
 
6.1%
u 7
 
6.1%
n 7
 
6.1%
d 5
 
4.4%
e 5
 
4.4%
r 4
 
3.5%
l 3
 
2.6%
s 3
 
2.6%
Other values (7) 11
 
9.6%
Decimal Number
ValueCountFrequency (%)
2 147
18.1%
1 142
17.5%
0 125
15.4%
5 114
14.0%
4 99
12.2%
3 67
8.2%
6 39
 
4.8%
7 29
 
3.6%
9 29
 
3.6%
8 22
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 7257
96.7%
/ 117
 
1.6%
. 88
 
1.2%
' 37
 
0.5%
& 5
 
0.1%
1
 
< 0.1%
% 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1
33.3%
= 1
33.3%
> 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 69
88.5%
[ 9
 
11.5%
Close Punctuation
ValueCountFrequency (%)
) 62
92.5%
] 5
 
7.5%
Space Separator
ValueCountFrequency (%)
7872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 623
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 155069
89.7%
Common 16963
 
9.8%
Hangul 792
 
0.5%
Cyrillic 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
6.1%
36
 
4.5%
28
 
3.5%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.0%
23
 
2.9%
23
 
2.9%
22
 
2.8%
Other values (126) 511
64.5%
Latin
ValueCountFrequency (%)
E 17977
11.6%
R 13186
 
8.5%
A 13089
 
8.4%
I 12218
 
7.9%
T 11034
 
7.1%
S 10439
 
6.7%
L 10278
 
6.6%
N 9949
 
6.4%
C 8726
 
5.6%
O 8070
 
5.2%
Other values (33) 40103
25.9%
Common
ValueCountFrequency (%)
7872
46.4%
, 7257
42.8%
- 623
 
3.7%
2 147
 
0.9%
1 142
 
0.8%
0 125
 
0.7%
/ 117
 
0.7%
5 114
 
0.7%
4 99
 
0.6%
. 88
 
0.5%
Other values (17) 379
 
2.2%
Cyrillic
ValueCountFrequency (%)
А 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172031
99.5%
Hangul 792
 
0.5%
Punctuation 1
 
< 0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 17977
 
10.4%
R 13186
 
7.7%
A 13089
 
7.6%
I 12218
 
7.1%
T 11034
 
6.4%
S 10439
 
6.1%
L 10278
 
6.0%
N 9949
 
5.8%
C 8726
 
5.1%
O 8070
 
4.7%
Other values (59) 57065
33.2%
Hangul
ValueCountFrequency (%)
48
 
6.1%
36
 
4.5%
28
 
3.5%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.0%
23
 
2.9%
23
 
2.9%
22
 
2.8%
Other values (126) 511
64.5%
Punctuation
ValueCountFrequency (%)
1
100.0%
Cyrillic
ValueCountFrequency (%)
А 1
100.0%

발주기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미래전력사업국제계약팀
5227 
국제부품계약팀(구:19.09.16)
4707 
국제장비계약팀(구:19.09.16)
 
39
헬기총괄계약팀
 
15
항공기총괄계약팀
 
12

Length

Max length19
Median length11
Mean length14.7872
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국제부품계약팀(구:19.09.16)
2nd row미래전력사업국제계약팀
3rd row미래전력사업국제계약팀
4th row미래전력사업국제계약팀
5th row국제부품계약팀(구:19.09.16)

Common Values

ValueCountFrequency (%)
미래전력사업국제계약팀 5227
52.3%
국제부품계약팀(구:19.09.16) 4707
47.1%
국제장비계약팀(구:19.09.16) 39
 
0.4%
헬기총괄계약팀 15
 
0.1%
항공기총괄계약팀 12
 
0.1%

Length

2024-03-15T06:26:31.347111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:31.688416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미래전력사업국제계약팀 5227
52.3%
국제부품계약팀(구:19.09.16 4707
47.1%
국제장비계약팀(구:19.09.16 39
 
0.4%
헬기총괄계약팀 15
 
0.1%
항공기총괄계약팀 12
 
0.1%

계약방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반경쟁
9949 
2단계경쟁(동시)
 
39
2단계경쟁(분리)
 
12

Length

Max length9
Median length4
Mean length4.0255
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 9949
99.5%
2단계경쟁(동시) 39
 
0.4%
2단계경쟁(분리) 12
 
0.1%

Length

2024-03-15T06:26:32.078542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:32.490234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반경쟁 9949
99.5%
2단계경쟁(동시 39
 
0.4%
2단계경쟁(분리 12
 
0.1%

입찰방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단가제
9986 
총액제
 
14

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단가제 9986
99.9%
총액제 14
 
0.1%

Length

2024-03-15T06:26:32.956214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:33.258837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단가제 9986
99.9%
총액제 14
 
0.1%

낙찰방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
최저가격제
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
최저가격제 10000
100.0%

Length

2024-03-15T06:26:33.587487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:33.964631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최저가격제 10000
100.0%
Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-03-30 16:00:00
Maximum2023-09-27 14:00:00
2024-03-15T06:26:34.430785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:26:35.025955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단가제유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
해당없음
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 10000
100.0%

Length

2024-03-15T06:26:35.561193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:36.022245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 10000
100.0%

사전심사
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
해당없음
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 10000
100.0%

Length

2024-03-15T06:26:36.399834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:36.622223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 10000
100.0%

입찰결과
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유찰
8516 
낙찰
1484 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row낙찰
2nd row유찰
3rd row유찰
4th row유찰
5th row낙찰

Common Values

ValueCountFrequency (%)
유찰 8516
85.2%
낙찰 1484
 
14.8%

Length

2024-03-15T06:26:36.826514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:26:36.988527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유찰 8516
85.2%
낙찰 1484
 
14.8%

예산금액(달러)
Real number (ℝ)

Distinct7765
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46881.736
Minimum0.04
Maximum10285800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T06:26:37.197496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile37.2995
Q1507.5175
median2802.49
Q315586.192
95-th percentile154670.51
Maximum10285800
Range10285800
Interquartile range (IQR)15078.675

Descriptive statistics

Standard deviation285361.72
Coefficient of variation (CV)6.0868421
Kurtosis400.02697
Mean46881.736
Median Absolute Deviation (MAD)2698.65
Skewness17.05694
Sum4.6881736 × 108
Variance8.1431313 × 1010
MonotonicityNot monotonic
2024-03-15T06:26:37.573726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27 14
 
0.1%
23280.0 13
 
0.1%
13015.0 9
 
0.1%
1214.61 8
 
0.1%
609.6 8
 
0.1%
16154.6 7
 
0.1%
102.0 7
 
0.1%
358.83 6
 
0.1%
406.4 6
 
0.1%
24.45 6
 
0.1%
Other values (7755) 9916
99.2%
ValueCountFrequency (%)
0.04 2
 
< 0.1%
0.06 1
 
< 0.1%
0.07 2
 
< 0.1%
0.18 3
 
< 0.1%
0.27 14
0.1%
0.38 5
 
0.1%
0.47 1
 
< 0.1%
0.5 1
 
< 0.1%
0.63 1
 
< 0.1%
0.72 1
 
< 0.1%
ValueCountFrequency (%)
10285800.48 1
< 0.1%
8773632.0 1
< 0.1%
6593664.0 1
< 0.1%
5918240.0 1
< 0.1%
5720000.0 1
< 0.1%
5299597.94 2
< 0.1%
4474552.32 2
< 0.1%
4474512.0 1
< 0.1%
4202052.96 1
< 0.1%
4186514.67 2
< 0.1%

Interactions

2024-03-15T06:26:21.899370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:26:21.237644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:26:22.280659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:26:21.570713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:26:38.002035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목번호발주기관계약방법입찰방법입찰결과예산금액(달러)
항목번호1.0000.2800.0720.0320.0410.016
발주기관0.2801.0001.0000.7950.0240.131
계약방법0.0721.0001.0000.6670.0110.240
입찰방법0.0320.7950.6671.0000.0000.135
입찰결과0.0410.0240.0110.0001.0000.016
예산금액(달러)0.0160.1310.2400.1350.0161.000
2024-03-15T06:26:38.278889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법발주기관입찰방법입찰결과
계약방법1.0001.0000.9260.018
발주기관1.0001.0000.9260.030
입찰방법0.9260.9261.0000.000
입찰결과0.0180.0300.0001.000
2024-03-15T06:26:38.543108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목번호예산금액(달러)발주기관계약방법입찰방법입찰결과
항목번호1.000-0.2390.1200.0430.0240.031
예산금액(달러)-0.2391.0000.0760.1080.1350.016
발주기관0.1200.0761.0001.0000.9260.030
계약방법0.0430.1081.0001.0000.9260.018
입찰방법0.0240.1350.9260.9261.0000.000
입찰결과0.0310.0160.0300.0180.0001.000

Missing values

2024-03-15T06:26:22.717813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:26:23.370773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

공고번호판단번호항목번호입찰건명발주기관계약방법입찰방법낙찰방법개찰일시단가제유형사전심사입찰결과예산금액(달러)
15066EFD0001-1BGD891020028ACTUATOR,ELECTRO-MECHANICAL,LINEAR국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2019-04-11 14:00해당없음해당없음낙찰22316.55
31613EHG0001-3BADH200200277HOUSING ASSY미래전력사업국제계약팀일반경쟁단가제최저가격제2022-04-08 14:00해당없음해당없음유찰7821.71
37214EHG0035-1PBDH30460021KIT GUARNIZIONI SAD미래전력사업국제계약팀일반경쟁단가제최저가격제2023-09-14 14:00해당없음해당없음유찰33419.46
26283EHG0001-2BADH101100213PARTS KIT,DAMPER AS미래전력사업국제계약팀일반경쟁단가제최저가격제2021-05-06 14:00해당없음해당없음유찰256.71
10828EFD0001-1PBD8890100115SEALING RING국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2018-03-29 14:00해당없음해당없음낙찰4350.22
15134EFD0001-1BMD890020021NUT,UNION국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2019-04-11 14:00해당없음해당없음유찰14666.4
14169EFD0001-1BAD89850001219WINDOW AFT R/H국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2019-04-11 14:00해당없음해당없음낙찰4851.49
12847EFD0001-2PBD8890100131O-RING국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2018-04-10 14:00해당없음해당없음유찰431.6
28201EHG0001-1BADH200300249SCREW,CAP,HEXAGON HEAD미래전력사업국제계약팀일반경쟁단가제최저가격제2022-03-25 14:00해당없음해당없음유찰65.72
2618EFD0001-3BAD8701200119HOUSING,ANTIFRICTION BEARING,TURBINE ENGINE국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2017-04-13 14:00해당없음해당없음유찰48.14
공고번호판단번호항목번호입찰건명발주기관계약방법입찰방법낙찰방법개찰일시단가제유형사전심사입찰결과예산금액(달러)
3616EFD0001-3BAD87910001101HUB FAIRING국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2017-04-13 14:00해당없음해당없음유찰5848.96
20306EHG0002-1PCDH0001001215PREAMPLIFIER BOARD미래전력사업국제계약팀일반경쟁단가제최저가격제2020-04-14 14:00해당없음해당없음유찰3385.2
28739EHG0001-1BGDH200300221NOZZLE,FUEL AND OIL미래전력사업국제계약팀일반경쟁단가제최저가격제2022-03-25 14:00해당없음해당없음유찰63664.0
2574EFD0001-3BAD870110022BELLCRANK ASSEMBLY국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2017-04-13 14:00해당없음해당없음유찰10547.25
33573EHG0001-4BADH20050022SCREW미래전력사업국제계약팀일반경쟁단가제최저가격제2022-05-02 14:00해당없음해당없음유찰235.61
2511EFD0001-2BAD870110018PUMP,ROTARY국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2017-04-13 14:00해당없음해당없음유찰3686.97
36840EHG0001-2PDDH300800230ELECTRONIC MODULE,S미래전력사업국제계약팀일반경쟁단가제최저가격제2023-04-28 14:00해당없음해당없음유찰118742.58
16184EFD0001-1PJO898940023LUBRICATING OIL,GEA국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2019-04-11 14:00해당없음해당없음유찰1375.29
22599EHG0002-2PCDH0001001194MICROPHONE,DYNAMIC미래전력사업국제계약팀일반경쟁단가제최저가격제2020-04-29 14:00해당없음해당없음유찰3282.52
14464EFD0001-1BAD8985300251INDICATOR,COURSE국제부품계약팀(구:19.09.16)일반경쟁단가제최저가격제2019-04-11 14:00해당없음해당없음유찰12527.12