Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells29560
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory231.0 B

Variable types

Text11
Categorical7
Boolean1
Numeric6
DateTime2

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 군수품에 대한 입찰결과 정보를 제공합니다.입찰공고번호,입찰공고차수,입찰공고명,업무구분명,계약체결형태명 등 정보가 수록됨
Author방위사업청
URLhttps://www.data.go.kr/data/15050917/fileData.do

Alerts

입찰공고차수 is highly imbalanced (61.2%)Imbalance
낙찰하한율 has 1764 (17.6%) missing valuesMissing
예정가격 has 3065 (30.6%) missing valuesMissing
기초금액 has 235 (2.4%) missing valuesMissing
최종낙찰금액 has 3050 (30.5%) missing valuesMissing
최종낙찰율 has 3065 (30.6%) missing valuesMissing
최종낙찰일자 has 3050 (30.5%) missing valuesMissing
최종낙찰업체명 has 3050 (30.5%) missing valuesMissing
최종낙찰업체대표자명 has 3050 (30.5%) missing valuesMissing
최종낙찰업체담당자명 has 3131 (31.3%) missing valuesMissing
최종낙찰업체사업자등록번호 has 3050 (30.5%) missing valuesMissing
최종낙찰업체주소 has 3050 (30.5%) missing valuesMissing
기초금액 is highly skewed (γ1 = 27.19298985)Skewed
추정가격 is highly skewed (γ1 = 37.10018664)Skewed
최종낙찰금액 is highly skewed (γ1 = 26.36610324)Skewed
낙찰하한율 has 2046 (20.5%) zerosZeros
추정가격 has 8614 (86.1%) zerosZeros

Reproduction

Analysis started2024-04-06 08:36:33.762283
Analysis finished2024-04-06 08:36:38.730627
Duration4.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct6483
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:39.365475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
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

Unique4337 ?
Unique (%)43.4%

Sample

1st rowSCF0236
2nd rowEHD0042
3rd rowSCF0135
4th rowLCF0034
5th rowUMM0100
ValueCountFrequency (%)
scf0003 14
 
0.1%
scf0027 13
 
0.1%
scf0591 13
 
0.1%
scf0526 12
 
0.1%
scf0034 11
 
0.1%
scf0021 11
 
0.1%
scf0022 11
 
0.1%
scf0004 11
 
0.1%
scf0001 10
 
0.1%
scf0002 10
 
0.1%
Other values (6473) 9884
98.8%
2024-04-06T17:36:40.329864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17804
25.4%
1 4353
 
6.2%
C 4230
 
6.0%
M 4023
 
5.7%
F 3384
 
4.8%
L 3293
 
4.7%
2 2975
 
4.2%
H 2901
 
4.1%
3 2607
 
3.7%
4 2525
 
3.6%
Other values (24) 21905
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40000
57.1%
Uppercase Letter 30000
42.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 4230
14.1%
M 4023
13.4%
F 3384
11.3%
L 3293
11.0%
H 2901
9.7%
S 2450
8.2%
D 2232
7.4%
E 1722
5.7%
U 1523
 
5.1%
G 1511
 
5.0%
Other values (14) 2731
9.1%
Decimal Number
ValueCountFrequency (%)
0 17804
44.5%
1 4353
 
10.9%
2 2975
 
7.4%
3 2607
 
6.5%
4 2525
 
6.3%
5 2359
 
5.9%
6 2145
 
5.4%
7 1904
 
4.8%
8 1723
 
4.3%
9 1605
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40000
57.1%
Latin 30000
42.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 4230
14.1%
M 4023
13.4%
F 3384
11.3%
L 3293
11.0%
H 2901
9.7%
S 2450
8.2%
D 2232
7.4%
E 1722
5.7%
U 1523
 
5.1%
G 1511
 
5.0%
Other values (14) 2731
9.1%
Common
ValueCountFrequency (%)
0 17804
44.5%
1 4353
 
10.9%
2 2975
 
7.4%
3 2607
 
6.5%
4 2525
 
6.3%
5 2359
 
5.9%
6 2145
 
5.4%
7 1904
 
4.8%
8 1723
 
4.3%
9 1605
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17804
25.4%
1 4353
 
6.2%
C 4230
 
6.0%
M 4023
 
5.7%
F 3384
 
4.8%
L 3293
 
4.7%
2 2975
 
4.2%
H 2901
 
4.1%
3 2607
 
3.7%
4 2525
 
3.6%
Other values (24) 21905
31.3%

입찰공고차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7686 
2
2091 
3
 
192
4
 
26
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7686
76.9%
2 2091
 
20.9%
3 192
 
1.9%
4 26
 
0.3%
5 5
 
0.1%

Length

2024-04-06T17:36:40.643178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:40.880793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7686
76.9%
2 2091
 
20.9%
3 192
 
1.9%
4 26
 
0.3%
5 5
 
< 0.1%
Distinct8851
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:41.404496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length16.46
Min length1

Characters and Unicode

Total characters164600
Distinct characters903
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7993 ?
Unique (%)79.9%

Sample

1st row베어링 및 시일 1종
2nd row하근무복상의 원단(회색/육군 개선품)
3rd rowA옵세트 등 1163종
4th row천마 최종구동장치 차량용 정비
5th row영상편집기(조립형PC) 제조/납품(20196030-G)
ValueCountFrequency (%)
2400
 
6.9%
구매 2367
 
6.8%
용역 668
 
1.9%
제조 430
 
1.2%
367
 
1.1%
19년 218
 
0.6%
18년 214
 
0.6%
정비 204
 
0.6%
17년 203
 
0.6%
2종 195
 
0.6%
Other values (11698) 27384
79.0%
2024-04-06T17:36:42.495926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25192
 
15.3%
4353
 
2.6%
1 4059
 
2.5%
( 4026
 
2.4%
) 4021
 
2.4%
3754
 
2.3%
0 3070
 
1.9%
3032
 
1.8%
2940
 
1.8%
2814
 
1.7%
Other values (893) 107339
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106946
65.0%
Space Separator 25192
 
15.3%
Decimal Number 16795
 
10.2%
Uppercase Letter 4737
 
2.9%
Open Punctuation 4072
 
2.5%
Close Punctuation 4067
 
2.5%
Dash Punctuation 1664
 
1.0%
Lowercase Letter 607
 
0.4%
Other Punctuation 406
 
0.2%
Math Symbol 41
 
< 0.1%
Other values (7) 73
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4353
 
4.1%
3754
 
3.5%
3032
 
2.8%
2940
 
2.7%
2814
 
2.6%
2156
 
2.0%
2091
 
2.0%
1900
 
1.8%
1817
 
1.7%
1745
 
1.6%
Other values (796) 80344
75.1%
Uppercase Letter
ValueCountFrequency (%)
K 491
 
10.4%
A 481
 
10.2%
P 364
 
7.7%
C 358
 
7.6%
E 351
 
7.4%
S 293
 
6.2%
T 230
 
4.9%
F 210
 
4.4%
L 207
 
4.4%
I 206
 
4.3%
Other values (16) 1546
32.6%
Lowercase Letter
ValueCountFrequency (%)
e 67
 
11.0%
c 48
 
7.9%
o 45
 
7.4%
l 44
 
7.2%
a 42
 
6.9%
r 41
 
6.8%
i 39
 
6.4%
t 37
 
6.1%
m 34
 
5.6%
n 30
 
4.9%
Other values (15) 180
29.7%
Decimal Number
ValueCountFrequency (%)
1 4059
24.2%
0 3070
18.3%
2 2447
14.6%
9 1246
 
7.4%
3 1130
 
6.7%
6 1019
 
6.1%
7 983
 
5.9%
8 980
 
5.8%
5 965
 
5.7%
4 896
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 264
65.0%
. 76
 
18.7%
· 30
 
7.4%
' 27
 
6.7%
: 3
 
0.7%
& 3
 
0.7%
1
 
0.2%
% 1
 
0.2%
# 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 4026
98.9%
[ 43
 
1.1%
2
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4021
98.9%
] 43
 
1.1%
2
 
< 0.1%
1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 36
87.8%
> 2
 
4.9%
< 2
 
4.9%
1
 
2.4%
Letter Number
ValueCountFrequency (%)
10
55.6%
4
 
22.2%
3
 
16.7%
1
 
5.6%
Other Number
ValueCountFrequency (%)
½ 1
33.3%
¼ 1
33.3%
1
33.3%
Other Symbol
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
25192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1664
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 14
100.0%
Final Punctuation
ValueCountFrequency (%)
12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Initial Punctuation
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106943
65.0%
Common 52293
31.8%
Latin 5361
 
3.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4353
 
4.1%
3754
 
3.5%
3032
 
2.8%
2940
 
2.7%
2814
 
2.6%
2156
 
2.0%
2091
 
2.0%
1900
 
1.8%
1817
 
1.7%
1745
 
1.6%
Other values (793) 80341
75.1%
Latin
ValueCountFrequency (%)
K 491
 
9.2%
A 481
 
9.0%
P 364
 
6.8%
C 358
 
6.7%
E 351
 
6.5%
S 293
 
5.5%
T 230
 
4.3%
F 210
 
3.9%
L 207
 
3.9%
I 206
 
3.8%
Other values (44) 2170
40.5%
Common
ValueCountFrequency (%)
25192
48.2%
1 4059
 
7.8%
( 4026
 
7.7%
) 4021
 
7.7%
0 3070
 
5.9%
2 2447
 
4.7%
- 1664
 
3.2%
9 1246
 
2.4%
3 1130
 
2.2%
6 1019
 
1.9%
Other values (33) 4419
 
8.5%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106924
65.0%
ASCII 57568
35.0%
None 39
 
< 0.1%
Punctuation 21
 
< 0.1%
Compat Jamo 19
 
< 0.1%
Number Forms 18
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
CJK 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25192
43.8%
1 4059
 
7.1%
( 4026
 
7.0%
) 4021
 
7.0%
0 3070
 
5.3%
2 2447
 
4.3%
- 1664
 
2.9%
9 1246
 
2.2%
3 1130
 
2.0%
6 1019
 
1.8%
Other values (68) 9694
 
16.8%
Hangul
ValueCountFrequency (%)
4353
 
4.1%
3754
 
3.5%
3032
 
2.8%
2940
 
2.7%
2814
 
2.6%
2156
 
2.0%
2091
 
2.0%
1900
 
1.8%
1817
 
1.7%
1745
 
1.6%
Other values (791) 80322
75.1%
None
ValueCountFrequency (%)
· 30
76.9%
2
 
5.1%
2
 
5.1%
½ 1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
¼ 1
 
2.6%
Compat Jamo
ValueCountFrequency (%)
16
84.2%
3
 
15.8%
Punctuation
ValueCountFrequency (%)
12
57.1%
9
42.9%
Number Forms
ValueCountFrequency (%)
10
55.6%
4
 
22.2%
3
 
16.7%
1
 
5.6%
Geometric Shapes
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
8422 
용역
1578 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 8422
84.2%
용역 1578
 
15.8%

Length

2024-04-06T17:36:42.814606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:43.149242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 8422
84.2%
용역 1578
 
15.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
총액계약
8826 
단가계약
1174 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 8826
88.3%
단가계약 1174
 
11.7%

Length

2024-04-06T17:36:43.405993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:43.690660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 8826
88.3%
단가계약 1174
 
11.7%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제한경쟁
6349 
일반경쟁
2318 
수의계약
 
570
2단계경쟁(동시)
 
393
협상에의한계약(전자)
 
169
Other values (3)
 
201

Length

Max length11
Median length4
Mean length4.4049
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 6349
63.5%
일반경쟁 2318
 
23.2%
수의계약 570
 
5.7%
2단계경쟁(동시) 393
 
3.9%
협상에의한계약(전자) 169
 
1.7%
협상에의한계약(서류) 113
 
1.1%
지명경쟁 66
 
0.7%
2단계경쟁(분리) 22
 
0.2%

Length

2024-04-06T17:36:43.907909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:44.130746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 6349
63.5%
일반경쟁 2318
 
23.2%
수의계약 570
 
5.7%
2단계경쟁(동시 393
 
3.9%
협상에의한계약(전자 169
 
1.7%
협상에의한계약(서류 113
 
1.1%
지명경쟁 66
 
0.7%
2단계경쟁(분리 22
 
0.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적격심사제
7813 
최저가격제
1904 
협상
 
283

Length

Max length5
Median length5
Mean length4.9151
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적격심사제 7813
78.1%
최저가격제 1904
 
19.0%
협상 283
 
2.8%

Length

2024-04-06T17:36:44.531890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:44.777387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 7813
78.1%
최저가격제 1904
 
19.0%
협상 283
 
2.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
7816 
False
2184 
ValueCountFrequency (%)
True 7816
78.2%
False 2184
 
21.8%
2024-04-06T17:36:45.023839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:45.389532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length6.752
Min length3

Characters and Unicode

Total characters67520
Distinct characters124
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.2%

Sample

1st row해군군수사령부
2nd row방위사업청
3rd row해군군수사령부
4th row육군군수사령부
5th row국군재정관리단
ValueCountFrequency (%)
방위사업청 1659
16.5%
국군재정관리단 1401
13.9%
해군군수사령부 1119
 
11.1%
육군군수사령부 1015
 
10.1%
제2879부대 765
 
7.6%
공군군수사령부 203
 
2.0%
국군의무사령부 184
 
1.8%
제9691부대 126
 
1.3%
제9181부대 116
 
1.2%
제5378부대 116
 
1.2%
Other values (174) 3368
33.4%
2024-04-06T17:36:46.544713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7595
 
11.2%
5853
 
8.7%
4930
 
7.3%
3114
 
4.6%
2865
 
4.2%
2850
 
4.2%
2545
 
3.8%
2128
 
3.2%
2075
 
3.1%
2069
 
3.1%
Other values (114) 31496
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56164
83.2%
Decimal Number 11016
 
16.3%
Close Punctuation 134
 
0.2%
Open Punctuation 134
 
0.2%
Space Separator 72
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
Decimal Number
ValueCountFrequency (%)
9 2052
18.6%
7 1807
16.4%
8 1603
14.6%
1 1430
13.0%
2 1352
12.3%
3 929
8.4%
6 703
 
6.4%
5 613
 
5.6%
0 497
 
4.5%
4 30
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56164
83.2%
Common 11356
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
Common
ValueCountFrequency (%)
9 2052
18.1%
7 1807
15.9%
8 1603
14.1%
1 1430
12.6%
2 1352
11.9%
3 929
8.2%
6 703
 
6.2%
5 613
 
5.4%
0 497
 
4.4%
) 134
 
1.2%
Other values (3) 236
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56164
83.2%
ASCII 11356
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
ASCII
ValueCountFrequency (%)
9 2052
18.1%
7 1807
15.9%
8 1603
14.1%
1 1430
12.6%
2 1352
11.9%
3 929
8.2%
6 703
 
6.2%
5 613
 
5.4%
0 497
 
4.4%
) 134
 
1.2%
Other values (3) 236
 
2.1%
Distinct176
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:47.855122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters12
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

Unique19 ?
Unique (%)0.2%

Sample

1st rowZD00289
2nd row1690000
3rd rowZD00289
4th row1290307
5th rowZD00303
ValueCountFrequency (%)
1690000 1725
17.2%
zd00303 1401
14.0%
zd00289 1119
 
11.2%
1290307 1015
 
10.2%
zd00347 765
 
7.6%
zd00306 203
 
2.0%
1290291 184
 
1.8%
zd00152 126
 
1.3%
zd00074 125
 
1.2%
zd00217 116
 
1.2%
Other values (166) 3221
32.2%
2024-04-06T17:36:49.283047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25512
36.4%
Z 6274
 
9.0%
D 6152
 
8.8%
3 5887
 
8.4%
9 5829
 
8.3%
1 5804
 
8.3%
2 4685
 
6.7%
6 2808
 
4.0%
7 2608
 
3.7%
8 1880
 
2.7%
Other values (2) 2561
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57574
82.2%
Uppercase Letter 12426
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25512
44.3%
3 5887
 
10.2%
9 5829
 
10.1%
1 5804
 
10.1%
2 4685
 
8.1%
6 2808
 
4.9%
7 2608
 
4.5%
8 1880
 
3.3%
4 1592
 
2.8%
5 969
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
Z 6274
50.5%
D 6152
49.5%

Most occurring scripts

ValueCountFrequency (%)
Common 57574
82.2%
Latin 12426
 
17.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25512
44.3%
3 5887
 
10.2%
9 5829
 
10.1%
1 5804
 
10.1%
2 4685
 
8.1%
6 2808
 
4.9%
7 2608
 
4.5%
8 1880
 
3.3%
4 1592
 
2.8%
5 969
 
1.7%
Latin
ValueCountFrequency (%)
Z 6274
50.5%
D 6152
49.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25512
36.4%
Z 6274
 
9.0%
D 6152
 
8.8%
3 5887
 
8.4%
9 5829
 
8.3%
1 5804
 
8.3%
2 4685
 
6.7%
6 2808
 
4.0%
7 2608
 
3.7%
8 1880
 
2.7%
Other values (2) 2561
 
3.7%
Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:49.823907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length6.752
Min length3

Characters and Unicode

Total characters67520
Distinct characters124
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.2%

Sample

1st row해군군수사령부
2nd row방위사업청
3rd row해군군수사령부
4th row육군군수사령부
5th row국군재정관리단
ValueCountFrequency (%)
방위사업청 1659
16.5%
국군재정관리단 1401
13.9%
해군군수사령부 1119
 
11.1%
육군군수사령부 1015
 
10.1%
제2879부대 765
 
7.6%
공군군수사령부 203
 
2.0%
국군의무사령부 184
 
1.8%
제9691부대 126
 
1.3%
제9181부대 116
 
1.2%
제5378부대 116
 
1.2%
Other values (174) 3368
33.4%
2024-04-06T17:36:50.691996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7595
 
11.2%
5853
 
8.7%
4930
 
7.3%
3114
 
4.6%
2865
 
4.2%
2850
 
4.2%
2545
 
3.8%
2128
 
3.2%
2075
 
3.1%
2069
 
3.1%
Other values (114) 31496
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56164
83.2%
Decimal Number 11016
 
16.3%
Close Punctuation 134
 
0.2%
Open Punctuation 134
 
0.2%
Space Separator 72
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
Decimal Number
ValueCountFrequency (%)
9 2052
18.6%
7 1807
16.4%
8 1603
14.6%
1 1430
13.0%
2 1352
12.3%
3 929
8.4%
6 703
 
6.4%
5 613
 
5.6%
0 497
 
4.5%
4 30
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56164
83.2%
Common 11356
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
Common
ValueCountFrequency (%)
9 2052
18.1%
7 1807
15.9%
8 1603
14.1%
1 1430
12.6%
2 1352
11.9%
3 929
8.2%
6 703
 
6.2%
5 613
 
5.4%
0 497
 
4.4%
) 134
 
1.2%
Other values (3) 236
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56164
83.2%
ASCII 11356
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7595
 
13.5%
5853
 
10.4%
4930
 
8.8%
3114
 
5.5%
2865
 
5.1%
2850
 
5.1%
2545
 
4.5%
2128
 
3.8%
2075
 
3.7%
2069
 
3.7%
Other values (101) 20140
35.9%
ASCII
ValueCountFrequency (%)
9 2052
18.1%
7 1807
15.9%
8 1603
14.1%
1 1430
12.6%
2 1352
11.9%
3 929
8.2%
6 703
 
6.2%
5 613
 
5.4%
0 497
 
4.4%
) 134
 
1.2%
Other values (3) 236
 
2.1%
Distinct176
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:36:51.461765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters12
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

Unique19 ?
Unique (%)0.2%

Sample

1st rowZD00289
2nd row1690000
3rd rowZD00289
4th row1290307
5th rowZD00303
ValueCountFrequency (%)
1690000 1725
17.2%
zd00303 1401
14.0%
zd00289 1119
 
11.2%
1290307 1015
 
10.2%
zd00347 765
 
7.6%
zd00306 203
 
2.0%
1290291 184
 
1.8%
zd00152 126
 
1.3%
zd00074 125
 
1.2%
zd00217 116
 
1.2%
Other values (166) 3221
32.2%
2024-04-06T17:36:52.499953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25512
36.4%
Z 6274
 
9.0%
D 6152
 
8.8%
3 5887
 
8.4%
9 5829
 
8.3%
1 5804
 
8.3%
2 4685
 
6.7%
6 2808
 
4.0%
7 2608
 
3.7%
8 1880
 
2.7%
Other values (2) 2561
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57574
82.2%
Uppercase Letter 12426
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25512
44.3%
3 5887
 
10.2%
9 5829
 
10.1%
1 5804
 
10.1%
2 4685
 
8.1%
6 2808
 
4.9%
7 2608
 
4.5%
8 1880
 
3.3%
4 1592
 
2.8%
5 969
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
Z 6274
50.5%
D 6152
49.5%

Most occurring scripts

ValueCountFrequency (%)
Common 57574
82.2%
Latin 12426
 
17.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25512
44.3%
3 5887
 
10.2%
9 5829
 
10.1%
1 5804
 
10.1%
2 4685
 
8.1%
6 2808
 
4.9%
7 2608
 
4.5%
8 1880
 
3.3%
4 1592
 
2.8%
5 969
 
1.7%
Latin
ValueCountFrequency (%)
Z 6274
50.5%
D 6152
49.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25512
36.4%
Z 6274
 
9.0%
D 6152
 
8.8%
3 5887
 
8.4%
9 5829
 
8.3%
1 5804
 
8.3%
2 4685
 
6.7%
6 2808
 
4.0%
7 2608
 
3.7%
8 1880
 
2.7%
Other values (2) 2561
 
3.7%

낙찰하한율
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.2%
Missing1764
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean65.448065
Minimum0
Maximum100
Zeros2046
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:52.836035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.995
median87.945
Q387.995
95-th percentile87.995
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation37.669183
Coefficient of variation (CV)0.5755584
Kurtosis-0.64990576
Mean65.448065
Median Absolute Deviation (MAD)0.05
Skewness-1.1576196
Sum539030.26
Variance1418.9674
MonotonicityNot monotonic
2024-04-06T17:36:53.147222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
87.995 3673
36.7%
0.0 2046
20.5%
82.995 968
 
9.7%
87.745 737
 
7.4%
87.945 520
 
5.2%
86.745 120
 
1.2%
85.495 46
 
0.5%
88.0 38
 
0.4%
90.0 34
 
0.3%
77.995 28
 
0.3%
Other values (8) 26
 
0.3%
(Missing) 1764
17.6%
ValueCountFrequency (%)
0.0 2046
20.5%
72.995 7
 
0.1%
77.995 28
 
0.3%
82.995 968
9.7%
83.495 1
 
< 0.1%
84.245 11
 
0.1%
84.995 1
 
< 0.1%
85.495 46
 
0.5%
86.745 120
 
1.2%
87.745 737
 
7.4%
ValueCountFrequency (%)
100.0 1
 
< 0.1%
97.945 1
 
< 0.1%
90.0 34
 
0.3%
88.0 38
 
0.4%
87.995 3673
36.7%
87.975 3
 
< 0.1%
87.95 1
 
< 0.1%
87.945 520
 
5.2%
87.745 737
 
7.4%
86.745 120
 
1.2%

예정가격
Real number (ℝ)

MISSING 

Distinct6782
Distinct (%)97.8%
Missing3065
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean2.4114884 × 108
Minimum28
Maximum2.7267016 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:53.467642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile1334.8
Q114594828
median47075202
Q31.2700657 × 108
95-th percentile8.5907764 × 108
Maximum2.7267016 × 1010
Range2.7267016 × 1010
Interquartile range (IQR)1.1241174 × 108

Descriptive statistics

Standard deviation1.0897457 × 109
Coefficient of variation (CV)4.5189752
Kurtosis244.64585
Mean2.4114884 × 108
Median Absolute Deviation (MAD)40623855
Skewness13.752802
Sum1.6723672 × 1012
Variance1.1875456 × 1018
MonotonicityNot monotonic
2024-04-06T17:36:54.312309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000 15
 
0.1%
40000000 6
 
0.1%
50000000 6
 
0.1%
30000000 5
 
0.1%
45000000 5
 
0.1%
493 4
 
< 0.1%
792 4
 
< 0.1%
1487 3
 
< 0.1%
737 3
 
< 0.1%
7084 3
 
< 0.1%
Other values (6772) 6881
68.8%
(Missing) 3065
30.6%
ValueCountFrequency (%)
28 1
< 0.1%
60 1
< 0.1%
89 1
< 0.1%
97 1
< 0.1%
108 2
< 0.1%
119 1
< 0.1%
129 1
< 0.1%
130 1
< 0.1%
131 1
< 0.1%
133 1
< 0.1%
ValueCountFrequency (%)
27267015930 1
< 0.1%
25172748573 1
< 0.1%
23768000000 1
< 0.1%
23113915593 1
< 0.1%
21291484369 1
< 0.1%
20017196022 1
< 0.1%
17267145395 1
< 0.1%
16987892348 1
< 0.1%
16554245128 1
< 0.1%
15265039359 1
< 0.1%

기초금액
Real number (ℝ)

MISSING  SKEWED 

Distinct8324
Distinct (%)85.2%
Missing235
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.7871915 × 108
Minimum29
Maximum7.9499 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:54.677360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile1642.8
Q112990000
median45291000
Q31.36 × 108
95-th percentile9.530098 × 108
Maximum7.9499 × 1010
Range7.9499 × 1010
Interquartile range (IQR)1.2301 × 108

Descriptive statistics

Standard deviation1.7833116 × 109
Coefficient of variation (CV)6.3982387
Kurtosis980.45123
Mean2.7871915 × 108
Median Absolute Deviation (MAD)40491000
Skewness27.19299
Sum2.7216925 × 1012
Variance3.1802004 × 1018
MonotonicityNot monotonic
2024-04-06T17:36:55.127155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500 26
 
0.3%
700 19
 
0.2%
30000000 17
 
0.2%
500 16
 
0.2%
800 13
 
0.1%
40000000 10
 
0.1%
20000000 10
 
0.1%
29000000 10
 
0.1%
600 9
 
0.1%
25000000 9
 
0.1%
Other values (8314) 9626
96.3%
(Missing) 235
 
2.4%
ValueCountFrequency (%)
29 1
 
< 0.1%
60 1
 
< 0.1%
66 1
 
< 0.1%
67 1
 
< 0.1%
90 1
 
< 0.1%
97 1
 
< 0.1%
110 4
< 0.1%
120 1
 
< 0.1%
130 1
 
< 0.1%
132 2
< 0.1%
ValueCountFrequency (%)
79499000000 1
< 0.1%
72389700000 1
< 0.1%
67410000000 1
< 0.1%
44950100000 1
< 0.1%
39100000000 1
< 0.1%
34994530000 1
< 0.1%
27589950000 1
< 0.1%
25113308360 1
< 0.1%
22930192000 1
< 0.1%
21422500000 1
< 0.1%

추정가격
Real number (ℝ)

SKEWED  ZEROS 

Distinct1271
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29801357
Minimum0
Maximum2.1607273 × 1010
Zeros8614
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:55.506988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile85341111
Maximum2.1607273 × 1010
Range2.1607273 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4823726 × 108
Coefficient of variation (CV)11.685282
Kurtosis1851.5279
Mean29801357
Median Absolute Deviation (MAD)0
Skewness37.100187
Sum2.9801357 × 1011
Variance1.2126919 × 1017
MonotonicityNot monotonic
2024-04-06T17:36:55.784162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8614
86.1%
36363636 6
 
0.1%
27272727 6
 
0.1%
408161727 5
 
0.1%
120201727 5
 
0.1%
45454545 4
 
< 0.1%
31818181 4
 
< 0.1%
8181818 4
 
< 0.1%
188864181 4
 
< 0.1%
128415272 4
 
< 0.1%
Other values (1261) 1344
 
13.4%
ValueCountFrequency (%)
0 8614
86.1%
1260 1
 
< 0.1%
6363 1
 
< 0.1%
454545 1
 
< 0.1%
557354 1
 
< 0.1%
572727 2
 
< 0.1%
787081 1
 
< 0.1%
801818 1
 
< 0.1%
922727 1
 
< 0.1%
1129663 1
 
< 0.1%
ValueCountFrequency (%)
21607272727 1
< 0.1%
13095646390 1
< 0.1%
10973155454 1
< 0.1%
8610636363 1
< 0.1%
6626398181 1
< 0.1%
5544705363 1
< 0.1%
5489727572 1
< 0.1%
5140312727 1
< 0.1%
4898279967 1
< 0.1%
4718247545 1
< 0.1%
Distinct1087
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-05 00:00:00
Maximum2020-10-20 00:00:00
2024-04-06T17:36:56.083357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:56.530603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개찰시각
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
11:00:00
3917 
10:30:00
3029 
11:30:00
667 
14:00:00
664 
15:00:00
399 
Other values (26)
1324 

Length

Max length8
Median length8
Mean length7.9999
Min length7

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row10:30:00
2nd row11:00:00
3rd row11:00:00
4th row11:30:00
5th row11:00:00

Common Values

ValueCountFrequency (%)
11:00:00 3917
39.2%
10:30:00 3029
30.3%
11:30:00 667
 
6.7%
14:00:00 664
 
6.6%
15:00:00 399
 
4.0%
13:00:00 386
 
3.9%
14:30:00 226
 
2.3%
13:30:00 125
 
1.2%
16:00:00 120
 
1.2%
15:30:00 118
 
1.2%
Other values (21) 349
 
3.5%

Length

2024-04-06T17:36:56.961678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:00:00 3917
39.2%
10:30:00 3029
30.3%
11:30:00 667
 
6.7%
14:00:00 664
 
6.6%
15:00:00 399
 
4.0%
13:00:00 386
 
3.9%
14:30:00 226
 
2.3%
13:30:00 125
 
1.2%
16:00:00 120
 
1.2%
15:30:00 118
 
1.2%
Other values (21) 349
 
3.5%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개찰완료
6950 
유찰
2946 
순위확정
 
104

Length

Max length4
Median length4
Mean length3.4108
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개찰완료 6950
69.5%
유찰 2946
29.5%
순위확정 104
 
1.0%

Length

2024-04-06T17:36:57.348839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:36:57.627295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개찰완료 6950
69.5%
유찰 2946
29.5%
순위확정 104
 
1.0%

최종낙찰금액
Real number (ℝ)

MISSING  SKEWED 

Distinct6595
Distinct (%)94.9%
Missing3050
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean2.4918095 × 108
Minimum0
Maximum7.722 × 1010
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:57.958734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1064.45
Q112493126
median40898200
Q31.120485 × 108
95-th percentile7.77795 × 108
Maximum7.722 × 1010
Range7.722 × 1010
Interquartile range (IQR)99555374

Descriptive statistics

Standard deviation1.6999027 × 109
Coefficient of variation (CV)6.8219607
Kurtosis934.90563
Mean2.4918095 × 108
Median Absolute Deviation (MAD)35698098
Skewness26.366103
Sum1.7318076 × 1012
Variance2.8896691 × 1018
MonotonicityNot monotonic
2024-04-06T17:36:58.544774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000 15
 
0.1%
0 13
 
0.1%
28000000 6
 
0.1%
45000000 6
 
0.1%
38000000 6
 
0.1%
384 5
 
0.1%
26000000 5
 
0.1%
30000000 4
 
< 0.1%
35000000 4
 
< 0.1%
40000000 4
 
< 0.1%
Other values (6585) 6882
68.8%
(Missing) 3050
30.5%
ValueCountFrequency (%)
0 13
0.1%
23 1
 
< 0.1%
47 1
 
< 0.1%
76 1
 
< 0.1%
85 1
 
< 0.1%
96 1
 
< 0.1%
97 1
 
< 0.1%
109 1
 
< 0.1%
110 1
 
< 0.1%
118 1
 
< 0.1%
ValueCountFrequency (%)
77220000000 1
< 0.1%
59050000000 1
< 0.1%
42567603800 1
< 0.1%
35190000000 1
< 0.1%
32461000000 1
< 0.1%
24194444444 1
< 0.1%
23732000000 1
< 0.1%
20079179680 1
< 0.1%
19784000000 1
< 0.1%
18436880000 1
< 0.1%

최종낙찰율
Real number (ℝ)

MISSING 

Distinct3995
Distinct (%)57.6%
Missing3065
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean87.22876
Minimum0
Maximum103.047
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:36:59.097522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76.2152
Q186.869
median88.066
Q388.9015
95-th percentile97.6605
Maximum103.047
Range103.047
Interquartile range (IQR)2.0325

Descriptive statistics

Standard deviation7.6527383
Coefficient of variation (CV)0.087731824
Kurtosis43.209646
Mean87.22876
Median Absolute Deviation (MAD)0.934
Skewness-4.7513842
Sum604931.45
Variance58.564403
MonotonicityNot monotonic
2024-04-06T17:36:59.676990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.995 76
 
0.8%
87.998 56
 
0.6%
87.997 53
 
0.5%
87.996 50
 
0.5%
87.999 44
 
0.4%
100.0 43
 
0.4%
88.002 34
 
0.3%
88.0 34
 
0.3%
88.004 33
 
0.3%
88.01 32
 
0.3%
Other values (3985) 6480
64.8%
(Missing) 3065
30.6%
ValueCountFrequency (%)
0.0 13
0.1%
0.001 1
 
< 0.1%
0.004 2
 
< 0.1%
32.851 1
 
< 0.1%
34.631 1
 
< 0.1%
35.926 1
 
< 0.1%
36.173 1
 
< 0.1%
38.2 1
 
< 0.1%
39.072 1
 
< 0.1%
43.453 1
 
< 0.1%
ValueCountFrequency (%)
103.047 1
 
< 0.1%
102.39 1
 
< 0.1%
101.042 1
 
< 0.1%
100.554 1
 
< 0.1%
100.118 1
 
< 0.1%
100.029 1
 
< 0.1%
100.0 43
0.4%
99.999 1
 
< 0.1%
99.995 1
 
< 0.1%
99.975 1
 
< 0.1%

최종낙찰일자
Date

MISSING 

Distinct1052
Distinct (%)15.1%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
Minimum2016-01-05 00:00:00
Maximum2020-10-20 00:00:00
2024-04-06T17:37:00.160744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:00.524950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종낙찰업체명
Text

MISSING 

Distinct3529
Distinct (%)50.8%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
2024-04-06T17:37:01.233156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length8.0231655
Min length2

Characters and Unicode

Total characters55761
Distinct characters687
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2304 ?
Unique (%)33.2%

Sample

1st row주식회사 아즈텍더블유비이
2nd row포빌리언
3rd row주식회사 트리엠
4th row지미디어 주식회사
5th row주식회사 한성넥스
ValueCountFrequency (%)
주식회사 2512
 
25.1%
사단법인 51
 
0.5%
유한회사 51
 
0.5%
삼진유통 48
 
0.5%
45
 
0.4%
농업회사법인 44
 
0.4%
류홀마트 35
 
0.3%
연우상사 28
 
0.3%
덕인산업 27
 
0.3%
삼호정밀 23
 
0.2%
Other values (3648) 7157
71.4%
2024-04-06T17:37:02.383588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4330
 
7.8%
3744
 
6.7%
3074
 
5.5%
3049
 
5.5%
3012
 
5.4%
) 1656
 
3.0%
( 1652
 
3.0%
1591
 
2.9%
1364
 
2.4%
877
 
1.6%
Other values (677) 31412
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47977
86.0%
Space Separator 3074
 
5.5%
Close Punctuation 1666
 
3.0%
Open Punctuation 1662
 
3.0%
Uppercase Letter 862
 
1.5%
Lowercase Letter 335
 
0.6%
Other Punctuation 114
 
0.2%
Decimal Number 58
 
0.1%
Dash Punctuation 12
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4330
 
9.0%
3744
 
7.8%
3049
 
6.4%
3012
 
6.3%
1591
 
3.3%
1364
 
2.8%
877
 
1.8%
648
 
1.4%
558
 
1.2%
542
 
1.1%
Other values (606) 28262
58.9%
Uppercase Letter
ValueCountFrequency (%)
S 74
 
8.6%
E 64
 
7.4%
L 62
 
7.2%
T 62
 
7.2%
C 61
 
7.1%
K 60
 
7.0%
N 55
 
6.4%
G 50
 
5.8%
O 47
 
5.5%
A 46
 
5.3%
Other values (15) 281
32.6%
Lowercase Letter
ValueCountFrequency (%)
n 38
11.3%
i 32
 
9.6%
t 26
 
7.8%
a 26
 
7.8%
o 26
 
7.8%
e 24
 
7.2%
l 24
 
7.2%
r 20
 
6.0%
d 17
 
5.1%
g 16
 
4.8%
Other values (14) 86
25.7%
Decimal Number
ValueCountFrequency (%)
2 25
43.1%
1 22
37.9%
4 4
 
6.9%
0 2
 
3.4%
6 2
 
3.4%
5 1
 
1.7%
3 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 73
64.0%
& 28
 
24.6%
, 8
 
7.0%
2
 
1.8%
/ 1
 
0.9%
1
 
0.9%
· 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 1656
99.4%
10
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1652
99.4%
10
 
0.6%
Space Separator
ValueCountFrequency (%)
3074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47890
85.9%
Common 6586
 
11.8%
Latin 1197
 
2.1%
Han 88
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4330
 
9.0%
3744
 
7.8%
3049
 
6.4%
3012
 
6.3%
1591
 
3.3%
1364
 
2.8%
877
 
1.8%
648
 
1.4%
558
 
1.2%
542
 
1.1%
Other values (584) 28175
58.8%
Latin
ValueCountFrequency (%)
S 74
 
6.2%
E 64
 
5.3%
L 62
 
5.2%
T 62
 
5.2%
C 61
 
5.1%
K 60
 
5.0%
N 55
 
4.6%
G 50
 
4.2%
O 47
 
3.9%
A 46
 
3.8%
Other values (39) 616
51.5%
Han
ValueCountFrequency (%)
12
13.6%
12
13.6%
12
13.6%
12
13.6%
6
 
6.8%
6
 
6.8%
3
 
3.4%
3
 
3.4%
3
 
3.4%
2
 
2.3%
Other values (13) 17
19.3%
Common
ValueCountFrequency (%)
3074
46.7%
) 1656
25.1%
( 1652
25.1%
. 73
 
1.1%
& 28
 
0.4%
2 25
 
0.4%
1 22
 
0.3%
- 12
 
0.2%
10
 
0.2%
10
 
0.2%
Other values (11) 24
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47889
85.9%
ASCII 7759
 
13.9%
CJK 88
 
0.2%
None 25
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4330
 
9.0%
3744
 
7.8%
3049
 
6.4%
3012
 
6.3%
1591
 
3.3%
1364
 
2.8%
877
 
1.8%
648
 
1.4%
558
 
1.2%
542
 
1.1%
Other values (583) 28174
58.8%
ASCII
ValueCountFrequency (%)
3074
39.6%
) 1656
21.3%
( 1652
21.3%
S 74
 
1.0%
. 73
 
0.9%
E 64
 
0.8%
L 62
 
0.8%
T 62
 
0.8%
C 61
 
0.8%
K 60
 
0.8%
Other values (55) 921
 
11.9%
CJK
ValueCountFrequency (%)
12
13.6%
12
13.6%
12
13.6%
12
13.6%
6
 
6.8%
6
 
6.8%
3
 
3.4%
3
 
3.4%
3
 
3.4%
2
 
2.3%
Other values (13) 17
19.3%
None
ValueCountFrequency (%)
10
40.0%
10
40.0%
2
 
8.0%
1
 
4.0%
1
 
4.0%
· 1
 
4.0%
Distinct3222
Distinct (%)46.4%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
2024-04-06T17:37:03.185275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length3
Mean length3.0128058
Min length2

Characters and Unicode

Total characters20939
Distinct characters304
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1951 ?
Unique (%)28.1%

Sample

1st row허재명
2nd row이두성
3rd row김동수
4th row이인숙
5th row오성환
ValueCountFrequency (%)
양미숙 35
 
0.5%
김미숙 33
 
0.5%
윤영현 29
 
0.4%
황지환 28
 
0.4%
전병욱 27
 
0.4%
장남인 27
 
0.4%
전건욱 23
 
0.3%
이광우 23
 
0.3%
김일천 23
 
0.3%
전호진 22
 
0.3%
Other values (3231) 6732
96.1%
2024-04-06T17:37:04.523146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1512
 
7.2%
1031
 
4.9%
861
 
4.1%
651
 
3.1%
532
 
2.5%
403
 
1.9%
378
 
1.8%
368
 
1.8%
361
 
1.7%
335
 
1.6%
Other values (294) 14507
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20785
99.3%
Uppercase Letter 62
 
0.3%
Space Separator 52
 
0.2%
Lowercase Letter 40
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1512
 
7.3%
1031
 
5.0%
861
 
4.1%
651
 
3.1%
532
 
2.6%
403
 
1.9%
378
 
1.8%
368
 
1.8%
361
 
1.7%
335
 
1.6%
Other values (270) 14353
69.1%
Uppercase Letter
ValueCountFrequency (%)
J 8
12.9%
N 7
11.3%
L 6
9.7%
A 6
9.7%
H 6
9.7%
E 5
8.1%
M 5
8.1%
O 4
6.5%
I 3
 
4.8%
U 3
 
4.8%
Other values (7) 9
14.5%
Lowercase Letter
ValueCountFrequency (%)
o 12
30.0%
n 8
20.0%
e 8
20.0%
w 4
 
10.0%
h 4
 
10.0%
k 4
 
10.0%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20785
99.3%
Latin 102
 
0.5%
Common 52
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1512
 
7.3%
1031
 
5.0%
861
 
4.1%
651
 
3.1%
532
 
2.6%
403
 
1.9%
378
 
1.8%
368
 
1.8%
361
 
1.7%
335
 
1.6%
Other values (270) 14353
69.1%
Latin
ValueCountFrequency (%)
o 12
 
11.8%
n 8
 
7.8%
J 8
 
7.8%
e 8
 
7.8%
N 7
 
6.9%
L 6
 
5.9%
A 6
 
5.9%
H 6
 
5.9%
E 5
 
4.9%
M 5
 
4.9%
Other values (13) 31
30.4%
Common
ValueCountFrequency (%)
52
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20785
99.3%
ASCII 154
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1512
 
7.3%
1031
 
5.0%
861
 
4.1%
651
 
3.1%
532
 
2.6%
403
 
1.9%
378
 
1.8%
368
 
1.8%
361
 
1.7%
335
 
1.6%
Other values (270) 14353
69.1%
ASCII
ValueCountFrequency (%)
52
33.8%
o 12
 
7.8%
n 8
 
5.2%
J 8
 
5.2%
e 8
 
5.2%
N 7
 
4.5%
L 6
 
3.9%
A 6
 
3.9%
H 6
 
3.9%
E 5
 
3.2%
Other values (14) 36
23.4%
Distinct3440
Distinct (%)50.1%
Missing3131
Missing (%)31.3%
Memory size156.2 KiB
2024-04-06T17:37:05.359215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.0071335
Min length2

Characters and Unicode

Total characters20656
Distinct characters287
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2176 ?
Unique (%)31.7%

Sample

1st row김홍식
2nd row이두성
3rd row송명규
4th row양성흠
5th row최창진
ValueCountFrequency (%)
이윤영 35
 
0.5%
윤영현 29
 
0.4%
황지환 28
 
0.4%
전병욱 27
 
0.4%
임병성 26
 
0.4%
김수영 24
 
0.3%
이광우 23
 
0.3%
여진석 21
 
0.3%
유종훈 19
 
0.3%
김미숙 18
 
0.3%
Other values (3437) 6635
96.4%
2024-04-06T17:37:06.843464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1474
 
7.1%
999
 
4.8%
789
 
3.8%
646
 
3.1%
536
 
2.6%
447
 
2.2%
425
 
2.1%
409
 
2.0%
371
 
1.8%
360
 
1.7%
Other values (277) 14200
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20511
99.3%
Uppercase Letter 89
 
0.4%
Lowercase Letter 40
 
0.2%
Space Separator 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1474
 
7.2%
999
 
4.9%
789
 
3.8%
646
 
3.1%
536
 
2.6%
447
 
2.2%
425
 
2.1%
409
 
2.0%
371
 
1.8%
360
 
1.8%
Other values (251) 14055
68.5%
Uppercase Letter
ValueCountFrequency (%)
A 11
12.4%
H 10
11.2%
L 9
10.1%
E 9
10.1%
N 9
10.1%
J 6
 
6.7%
G 5
 
5.6%
U 5
 
5.6%
C 4
 
4.5%
I 4
 
4.5%
Other values (9) 17
19.1%
Lowercase Letter
ValueCountFrequency (%)
o 12
30.0%
n 8
20.0%
e 8
20.0%
h 4
 
10.0%
k 4
 
10.0%
w 4
 
10.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20511
99.3%
Latin 129
 
0.6%
Common 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1474
 
7.2%
999
 
4.9%
789
 
3.8%
646
 
3.1%
536
 
2.6%
447
 
2.2%
425
 
2.1%
409
 
2.0%
371
 
1.8%
360
 
1.8%
Other values (251) 14055
68.5%
Latin
ValueCountFrequency (%)
o 12
 
9.3%
A 11
 
8.5%
H 10
 
7.8%
L 9
 
7.0%
E 9
 
7.0%
N 9
 
7.0%
n 8
 
6.2%
e 8
 
6.2%
J 6
 
4.7%
G 5
 
3.9%
Other values (15) 42
32.6%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20511
99.3%
ASCII 145
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1474
 
7.2%
999
 
4.9%
789
 
3.8%
646
 
3.1%
536
 
2.6%
447
 
2.2%
425
 
2.1%
409
 
2.0%
371
 
1.8%
360
 
1.8%
Other values (251) 14055
68.5%
ASCII
ValueCountFrequency (%)
16
 
11.0%
o 12
 
8.3%
A 11
 
7.6%
H 10
 
6.9%
L 9
 
6.2%
E 9
 
6.2%
N 9
 
6.2%
n 8
 
5.5%
e 8
 
5.5%
J 6
 
4.1%
Other values (16) 47
32.4%
Distinct3556
Distinct (%)51.2%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
2024-04-06T17:37:07.493113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters83400
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

Unique2331 ?
Unique (%)33.5%

Sample

1st row603-81-19267
2nd row121-24-80684
3rd row220-86-05262
4th row220-81-74333
5th row308-81-29900
ValueCountFrequency (%)
609-81-98033 35
 
0.5%
609-13-61236 28
 
0.4%
621-16-74431 27
 
0.4%
608-07-23562 23
 
0.3%
622-02-60419 23
 
0.3%
120-82-07415 23
 
0.3%
361-86-00307 22
 
0.3%
312-81-09219 21
 
0.3%
136-81-04997 21
 
0.3%
107-86-77070 20
 
0.3%
Other values (3546) 6707
96.5%
2024-04-06T17:37:08.743223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13900
16.7%
1 11980
14.4%
0 9918
11.9%
8 8938
10.7%
6 7178
8.6%
2 7130
8.5%
3 5867
7.0%
4 5005
 
6.0%
5 4744
 
5.7%
7 4658
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69500
83.3%
Dash Punctuation 13900
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11980
17.2%
0 9918
14.3%
8 8938
12.9%
6 7178
10.3%
2 7130
10.3%
3 5867
8.4%
4 5005
7.2%
5 4744
 
6.8%
7 4658
 
6.7%
9 4082
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 13900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13900
16.7%
1 11980
14.4%
0 9918
11.9%
8 8938
10.7%
6 7178
8.6%
2 7130
8.5%
3 5867
7.0%
4 5005
 
6.0%
5 4744
 
5.7%
7 4658
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13900
16.7%
1 11980
14.4%
0 9918
11.9%
8 8938
10.7%
6 7178
8.6%
2 7130
8.5%
3 5867
7.0%
4 5005
 
6.0%
5 4744
 
5.7%
7 4658
 
5.6%
Distinct3527
Distinct (%)50.7%
Missing3050
Missing (%)30.5%
Memory size156.2 KiB
2024-04-06T17:37:09.760465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length57
Mean length29.426763
Min length15

Characters and Unicode

Total characters204516
Distinct characters624
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2303 ?
Unique (%)33.1%

Sample

1st row부산광역시 사하구 하신번영로 99()
2nd row인천광역시 계양구 계산새로71-0 (계산동) D동 1107호
3rd row서울특별시 성동구 상원길19, 4층(성수동1가, 신한 IT TOWER)
4th row경기도 성남시 분당구 매화로45, 2층(야탑동, 내외빌딩)
5th row충청남도 논산시 광석면 사계로 196(한성넥스)
ValueCountFrequency (%)
경기도 1957
 
5.8%
서울특별시 1349
 
4.0%
경상남도 849
 
2.5%
부산광역시 682
 
2.0%
창원시 524
 
1.5%
인천광역시 301
 
0.9%
경상북도 278
 
0.8%
강서구 273
 
0.8%
충청남도 231
 
0.7%
충청북도 218
 
0.6%
Other values (7314) 27315
80.4%
2024-04-06T17:37:11.051045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27177
 
13.3%
1 7893
 
3.9%
6984
 
3.4%
6491
 
3.2%
6097
 
3.0%
0 5988
 
2.9%
( 5524
 
2.7%
) 5524
 
2.7%
2 5258
 
2.6%
4694
 
2.3%
Other values (614) 122886
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120443
58.9%
Decimal Number 37576
 
18.4%
Space Separator 27177
 
13.3%
Open Punctuation 5524
 
2.7%
Close Punctuation 5524
 
2.7%
Dash Punctuation 4206
 
2.1%
Other Punctuation 3176
 
1.6%
Uppercase Letter 705
 
0.3%
Lowercase Letter 133
 
0.1%
Math Symbol 52
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6984
 
5.8%
6491
 
5.4%
6097
 
5.1%
4694
 
3.9%
4555
 
3.8%
3386
 
2.8%
3305
 
2.7%
3034
 
2.5%
2523
 
2.1%
2260
 
1.9%
Other values (553) 77114
64.0%
Uppercase Letter
ValueCountFrequency (%)
A 124
17.6%
B 85
12.1%
C 65
9.2%
I 49
 
7.0%
S 47
 
6.7%
T 47
 
6.7%
K 41
 
5.8%
L 35
 
5.0%
D 32
 
4.5%
E 25
 
3.5%
Other values (15) 155
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 37
27.8%
r 20
15.0%
n 13
 
9.8%
c 12
 
9.0%
t 10
 
7.5%
w 9
 
6.8%
s 9
 
6.8%
o 8
 
6.0%
a 5
 
3.8%
i 3
 
2.3%
Other values (7) 7
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 7893
21.0%
0 5988
15.9%
2 5258
14.0%
3 3985
10.6%
4 3192
8.5%
5 2727
 
7.3%
7 2336
 
6.2%
6 2311
 
6.2%
9 1947
 
5.2%
8 1939
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 3139
98.8%
. 30
 
0.9%
/ 6
 
0.2%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
27177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5524
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4206
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120442
58.9%
Common 83235
40.7%
Latin 838
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6984
 
5.8%
6491
 
5.4%
6097
 
5.1%
4694
 
3.9%
4555
 
3.8%
3386
 
2.8%
3305
 
2.7%
3034
 
2.5%
2523
 
2.1%
2260
 
1.9%
Other values (552) 77113
64.0%
Latin
ValueCountFrequency (%)
A 124
14.8%
B 85
 
10.1%
C 65
 
7.8%
I 49
 
5.8%
S 47
 
5.6%
T 47
 
5.6%
K 41
 
4.9%
e 37
 
4.4%
L 35
 
4.2%
D 32
 
3.8%
Other values (32) 276
32.9%
Common
ValueCountFrequency (%)
27177
32.7%
1 7893
 
9.5%
0 5988
 
7.2%
( 5524
 
6.6%
) 5524
 
6.6%
2 5258
 
6.3%
- 4206
 
5.1%
3 3985
 
4.8%
4 3192
 
3.8%
, 3139
 
3.8%
Other values (9) 11349
13.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120442
58.9%
ASCII 84073
41.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27177
32.3%
1 7893
 
9.4%
0 5988
 
7.1%
( 5524
 
6.6%
) 5524
 
6.6%
2 5258
 
6.3%
- 4206
 
5.0%
3 3985
 
4.7%
4 3192
 
3.8%
, 3139
 
3.7%
Other values (51) 12187
14.5%
Hangul
ValueCountFrequency (%)
6984
 
5.8%
6491
 
5.4%
6097
 
5.1%
4694
 
3.9%
4555
 
3.8%
3386
 
2.8%
3305
 
2.7%
3034
 
2.5%
2523
 
2.1%
2260
 
1.9%
Other values (552) 77113
64.0%
CJK
ValueCountFrequency (%)
1
100.0%

Sample

입찰공고번호입찰공고차수입찰공고명업무구분명계약체결형태명계약체결방법명낙찰자결정방법명적격심사여부공고기관명공고기관코드수요기관명수요기관코드낙찰하한율예정가격기초금액추정가격개찰일자개찰시각개찰결과구분명최종낙찰금액최종낙찰율최종낙찰일자최종낙찰업체명최종낙찰업체대표자명최종낙찰업체담당자명최종낙찰업체사업자등록번호최종낙찰업체주소
15782SCF02361베어링 및 시일 1종물품총액계약제한경쟁최저가격제N해군군수사령부ZD00289해군군수사령부ZD002890.0<NA>1030000002018-05-2910:30:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
3580EHD00421하근무복상의 원단(회색/육군 개선품)물품단가계약제한경쟁적격심사제Y방위사업청1690000방위사업청1690000<NA>143401437802016-05-0311:00:00개찰완료1292690.1362016-05-03주식회사 아즈텍더블유비이허재명김홍식603-81-19267부산광역시 사하구 하신번영로 99()
12105SCF01351A옵세트 등 1163종물품총액계약제한경쟁적격심사제Y해군군수사령부ZD00289해군군수사령부ZD0028987.995995799389875000002017-05-2611:00:00개찰완료8830400088.6762017-05-26포빌리언이두성이두성121-24-80684인천광역시 계양구 계산새로71-0 (계산동) D동 1107호
14087LCF00341천마 최종구동장치 차량용 정비물품총액계약제한경쟁적격심사제Y육군군수사령부1290307육군군수사령부129030782.995<NA>21120000002017-06-1611:30:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
26656UMM01001영상편집기(조립형PC) 제조/납품(20196030-G)물품총액계약제한경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030387.945575506815795007402019-03-1311:00:00개찰완료5142995089.3642019-03-13주식회사 트리엠김동수송명규220-86-05262서울특별시 성동구 상원길19, 4층(성수동1가, 신한 IT TOWER)
34381UMM0174120-시청각기록물 관리체계 구축(리스물건)(20H058-A)용역총액계약2단계경쟁(동시)최저가격제N국군재정관리단ZD00303국군재정관리단ZD003030.05262096465246300005061863632020-04-2211:00:00개찰완료45654300086.762020-04-23지미디어 주식회사이인숙양성흠220-81-74333경기도 성남시 분당구 매화로45, 2층(야탑동, 내외빌딩)
1676UMM02051목제가구류 46종 제조설치물품총액계약제한경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030387.99524668314724761150002016-04-1811:00:00개찰완료21734100088.1052016-04-18주식회사 한성넥스오성환최창진308-81-29900충청남도 논산시 광석면 사계로 196(한성넥스)
25831SCF04081펌프 조립체 9EA 구매물품총액계약제한경쟁적격심사제Y해군군수사령부ZD00289해군군수사령부ZD0028987.995413231534204000002019-06-1910:30:00개찰완료3636770088.0082019-06-19양지무역양지원양지원536-16-00970전라남도 목포시 상동로31, 상가 109동 211호(상동, 상동현대아파트)
3228SDF00551소프트 양용 드라이버 등 1023종물품총액계약제한경쟁최저가격제N제5738부대ZD00158제5738부대ZD001580.0<NA>6302600002016-05-1011:00:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
17385LCF04201혈압계기능검사기 4항목 구매(물품)물품총액계약제한경쟁적격심사제Y육군군수사령부1290307육군군수사령부129030787.995470752024800000002018-03-0710:30:00개찰완료4142688088.0012018-03-07연합메디칼최현숙최현숙230-40-00247대전광역시 유성구 유성대로736번길19, 1020호 (장대동,넥스투빌)
입찰공고번호입찰공고차수입찰공고명업무구분명계약체결형태명계약체결방법명낙찰자결정방법명적격심사여부공고기관명공고기관코드수요기관명수요기관코드낙찰하한율예정가격기초금액추정가격개찰일자개찰시각개찰결과구분명최종낙찰금액최종낙찰율최종낙찰일자최종낙찰업체명최종낙찰업체대표자명최종낙찰업체담당자명최종낙찰업체사업자등록번호최종낙찰업체주소
11339EGD00141헬기구성품(변환기) 정비물품총액계약일반경쟁적격심사제Y방위사업청1690000방위사업청1690000<NA><NA>10684400002017-06-1615:00:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
25854EGG0102119년 오리콘 복귀스프링조립체물품총액계약일반경쟁적격심사제Y방위사업청1690000방위사업청1690000<NA>71534511971794500002019-07-1911:00:00개찰완료61025000085.3082019-07-19(주)에프에스최명화하기웅137-86-41777경기도 김포시 양촌읍 황금로109번길79-0
15948EHC01692터빈연료 항공용(제트유)물품단가계약수의계약적격심사제Y방위사업청1690000방위사업청1690000<NA><NA>65202018-08-2810:30:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
514MCD00092우리 군 합동성 진단 및 합동성 강화 발전 방안용역총액계약협상에의한계약(서류)협상N국방부(운영지원과)1290000국방부(운영지원과)1290000<NA>20060000<NA>02016-03-0311:00:00개찰완료1914000095.4132016-03-23사단법인 한국국가전략연구원한민구<NA>643-82-00026서울특별시 용산구 한강대로62길41, 3층 (한강로1가)
38408LHM00542노후 냉난방기 교체 설치납품물품총액계약제한경쟁적격심사제Y제6685부대ZD00115제6685부대ZD0011587.9957162762572500000659090902019-12-2411:00:00개찰완료6303036087.9972019-12-24주식회사 삼대정영삼정영삼731-87-00032강원도 원주시 무실로158 (단계동)
13722LDH04531K9롤러등8종구매물품총액계약제한경쟁적격심사제Y제2879부대ZD00347제2879부대ZD0034787.995<NA>243900002017-07-1311:30:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
18107EGF00172가열기 조립체류물품총액계약수의계약적격심사제Y방위사업청1690000방위사업청1690000<NA><NA>89144000002018-04-2015:00:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
9036LCP00032레이더 경보수신기 소프트웨어 지원셋 외주 정비용역용역총액계약일반경쟁적격심사제Y육군제8971부대ZD00098육군제8971부대ZD0009887.745<NA>3182861002017-03-0811:10:00유찰<NA><NA><NA><NA><NA><NA><NA><NA>
32238LGR00271LPG물품단가계약제한경쟁적격심사제Y제1288부대ZD00348제1288부대ZD0034882.99594295702018-08-2410:30:00개찰완료80185.0752018-08-24춘천LPG충전소최정훈최정훈221-13-49731강원특별자치도 춘천시 경춘로2307-0
12261SCF03511대테러 작전용 전술쪼끼 등 11종물품총액계약제한경쟁최저가격제N해군군수사령부ZD00289해군군수사령부ZD002890.0249707742543000002017-05-2310:30:00개찰완료2214444088.6812017-05-23신우김형철여운석132-09-94512경기도 남양주시 진접읍 내각1로73번길38-1