Overview

Dataset statistics

Number of variables14
Number of observations4911
Missing cells22
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory537.3 KiB
Average record size in memory112.0 B

Variable types

Text5
Categorical8
DateTime1

Dataset

Description방위사업청 및 각 군이 국외에서 조달하는 군수품에 대한 계약정보를 제공합니다.계약번호, 계약명, 업무구분명,계약체결형태명,계약체결방법명,계약체결일자 등 수록됨
Author방위사업청
URLhttps://www.data.go.kr/data/15050924/fileData.do

Alerts

업무구분명 has constant value ""Constant
계약기관구분명 has constant value ""Constant
계약기관명 has constant value ""Constant
수요기관구분명 has constant value ""Constant
수요기관명 has constant value ""Constant
계약체결형태명 is highly overall correlated with 계약체결방법명High correlation
계약체결방법명 is highly overall correlated with 계약체결형태명 and 1 other fieldsHigh correlation
계약기관담당부서명 is highly overall correlated with 계약체결방법명High correlation
계약체결방법명 is highly imbalanced (54.9%)Imbalance
계약기관담당부서명 is highly imbalanced (51.4%)Imbalance
계약번호 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:14:28.814012
Analysis finished2024-03-16 04:14:30.691804
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약번호
Text

UNIQUE 

Distinct4911
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
2024-03-16T13:14:30.954402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters54021
Distinct characters33
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

Unique4911 ?
Unique (%)100.0%

Sample

1st rowKD71AB04O01
2nd rowKD73AB04O01
3rd rowKD71AB04O02
4th rowKD71BB04O01
5th rowKD72BB04O01
ValueCountFrequency (%)
kd71ab04o01 1
 
< 0.1%
kd11ad0ho57 1
 
< 0.1%
kd11ad0ho52 1
 
< 0.1%
kd11ad0ho51 1
 
< 0.1%
kd11ad0ho49 1
 
< 0.1%
kd11ad0ho45 1
 
< 0.1%
kd11ad0ho43 1
 
< 0.1%
kd11ad0ho12 1
 
< 0.1%
kd12cd0ho04 1
 
< 0.1%
kd12cd0ho03 1
 
< 0.1%
Other values (4901) 4901
99.8%
2024-03-16T13:14:31.539433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 8725
16.2%
0 7916
14.7%
K 5006
9.3%
1 4692
8.7%
2 3864
 
7.2%
8 3068
 
5.7%
O 2738
 
5.1%
A 2316
 
4.3%
H 2159
 
4.0%
3 1875
 
3.5%
Other values (23) 11662
21.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 27401
50.7%
Decimal Number 26620
49.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 8725
31.8%
K 5006
18.3%
O 2738
 
10.0%
A 2316
 
8.5%
H 2159
 
7.9%
B 1479
 
5.4%
P 1307
 
4.8%
C 1099
 
4.0%
E 465
 
1.7%
F 427
 
1.6%
Other values (13) 1680
 
6.1%
Decimal Number
ValueCountFrequency (%)
0 7916
29.7%
1 4692
17.6%
2 3864
14.5%
8 3068
 
11.5%
3 1875
 
7.0%
9 1425
 
5.4%
7 1231
 
4.6%
4 1060
 
4.0%
5 895
 
3.4%
6 594
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 27401
50.7%
Common 26620
49.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 8725
31.8%
K 5006
18.3%
O 2738
 
10.0%
A 2316
 
8.5%
H 2159
 
7.9%
B 1479
 
5.4%
P 1307
 
4.8%
C 1099
 
4.0%
E 465
 
1.7%
F 427
 
1.6%
Other values (13) 1680
 
6.1%
Common
ValueCountFrequency (%)
0 7916
29.7%
1 4692
17.6%
2 3864
14.5%
8 3068
 
11.5%
3 1875
 
7.0%
9 1425
 
5.4%
7 1231
 
4.6%
4 1060
 
4.0%
5 895
 
3.4%
6 594
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 8725
16.2%
0 7916
14.7%
K 5006
9.3%
1 4692
8.7%
2 3864
 
7.2%
8 3068
 
5.7%
O 2738
 
5.1%
A 2316
 
4.3%
H 2159
 
4.0%
3 1875
 
3.5%
Other values (23) 11662
21.6%

계약명
Text

Distinct1441
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
2024-03-16T13:14:32.011308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length20.099369
Min length3

Characters and Unicode

Total characters98708
Distinct characters429
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1164 ?
Unique (%)23.7%

Sample

1st rowRepair for Weapon and Radio
2nd rowHH-60 부품정비 한도액계약
3rd rowREPAIR FOR CH-47 HOIST
4th rowREPAIR FOR HALO
5th row30mm 골키퍼 부품정비
ValueCountFrequency (%)
for 3666
21.1%
s/p 3273
18.9%
equipment 664
 
3.8%
warships 597
 
3.4%
eqp't 366
 
2.1%
submarine 322
 
1.9%
general 319
 
1.8%
air 253
 
1.5%
anti 252
 
1.5%
communication 250
 
1.4%
Other values (1503) 7389
42.6%
2024-03-16T13:14:32.819362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12450
 
12.6%
S 5508
 
5.6%
R 5392
 
5.5%
P 5368
 
5.4%
O 4236
 
4.3%
E 3985
 
4.0%
F 3635
 
3.7%
/ 3393
 
3.4%
A 3214
 
3.3%
I 3089
 
3.1%
Other values (419) 48438
49.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 51802
52.5%
Lowercase Letter 13094
 
13.3%
Space Separator 12450
 
12.6%
Other Letter 9577
 
9.7%
Decimal Number 4623
 
4.7%
Other Punctuation 4065
 
4.1%
Dash Punctuation 1338
 
1.4%
Close Punctuation 763
 
0.8%
Open Punctuation 762
 
0.8%
Math Symbol 151
 
0.2%
Other values (5) 83
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 490
 
5.1%
기 490
 
5.1%
품 452
 
4.7%
비 450
 
4.7%
정 344
 
3.6%
구 213
 
2.2%
이 211
 
2.2%
매 209
 
2.2%
용 202
 
2.1%
장 192
 
2.0%
Other values (337) 6324
66.0%
Uppercase Letter
ValueCountFrequency (%)
S 5508
10.6%
R 5392
10.4%
P 5368
10.4%
O 4236
 
8.2%
E 3985
 
7.7%
F 3635
 
7.0%
A 3214
 
6.2%
I 3089
 
6.0%
T 2485
 
4.8%
N 2339
 
4.5%
Other values (16) 12551
24.2%
Lowercase Letter
ValueCountFrequency (%)
r 2225
17.0%
a 1413
10.8%
s 1275
9.7%
e 1240
9.5%
o 1057
8.1%
p 989
7.6%
i 977
7.5%
f 765
 
5.8%
t 600
 
4.6%
h 475
 
3.6%
Other values (16) 2078
15.9%
Decimal Number
ValueCountFrequency (%)
0 1155
25.0%
1 820
17.7%
2 753
16.3%
5 630
13.6%
3 334
 
7.2%
7 269
 
5.8%
4 256
 
5.5%
6 196
 
4.2%
9 140
 
3.0%
8 70
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 3393
83.5%
' 503
 
12.4%
, 127
 
3.1%
. 28
 
0.7%
& 11
 
0.3%
· 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 146
96.7%
∼ 4
 
2.6%
+ 1
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
80.0%
Ⅲ 2
 
13.3%
Ⅰ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
12450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 763
100.0%
Open Punctuation
ValueCountFrequency (%)
( 762
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 52
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㎜ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64911
65.8%
Common 24220
 
24.5%
Hangul 9577
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 490
 
5.1%
기 490
 
5.1%
품 452
 
4.7%
비 450
 
4.7%
정 344
 
3.6%
구 213
 
2.2%
이 211
 
2.2%
매 209
 
2.2%
용 202
 
2.1%
장 192
 
2.0%
Other values (337) 6324
66.0%
Latin
ValueCountFrequency (%)
S 5508
 
8.5%
R 5392
 
8.3%
P 5368
 
8.3%
O 4236
 
6.5%
E 3985
 
6.1%
F 3635
 
5.6%
A 3214
 
5.0%
I 3089
 
4.8%
T 2485
 
3.8%
N 2339
 
3.6%
Other values (45) 25660
39.5%
Common
ValueCountFrequency (%)
12450
51.4%
/ 3393
 
14.0%
- 1338
 
5.5%
0 1155
 
4.8%
1 820
 
3.4%
) 763
 
3.2%
( 762
 
3.1%
2 753
 
3.1%
5 630
 
2.6%
' 503
 
2.1%
Other values (17) 1653
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89044
90.2%
Hangul 9577
 
9.7%
Punctuation 60
 
0.1%
Number Forms 15
 
< 0.1%
CJK Compat 5
 
< 0.1%
Math Operators 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12450
 
14.0%
S 5508
 
6.2%
R 5392
 
6.1%
P 5368
 
6.0%
O 4236
 
4.8%
E 3985
 
4.5%
F 3635
 
4.1%
/ 3393
 
3.8%
A 3214
 
3.6%
I 3089
 
3.5%
Other values (64) 38774
43.5%
Hangul
ValueCountFrequency (%)
부 490
 
5.1%
기 490
 
5.1%
품 452
 
4.7%
비 450
 
4.7%
정 344
 
3.6%
구 213
 
2.2%
이 211
 
2.2%
매 209
 
2.2%
용 202
 
2.1%
장 192
 
2.0%
Other values (337) 6324
66.0%
Punctuation
ValueCountFrequency (%)
’ 52
86.7%
‘ 8
 
13.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
80.0%
Ⅲ 2
 
13.3%
Ⅰ 1
 
6.7%
CJK Compat
ValueCountFrequency (%)
㎜ 5
100.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
외자
4911 

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 4911
100.0%

Length

2024-03-16T13:14:33.098457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:33.265799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외자 4911
100.0%

계약체결형태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
총액제
2274 
단가제(최저가)
1611 
내역입찰(최저가)
864 
리스입찰
 
157
단가제
 
4

Length

Max length10
Median length9
Mean length5.7291794
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row내역입찰(최저가)
2nd row내역입찰(최저가)
3rd row내역입찰(최저가)
4th row내역입찰(최저가)
5th row내역입찰(최저가)

Common Values

ValueCountFrequency (%)
총액제 2274
46.3%
단가제(최저가) 1611
32.8%
내역입찰(최저가) 864
 
17.6%
리스입찰 157
 
3.2%
단가제 4
 
0.1%
내역입찰(적격심사) 1
 
< 0.1%

Length

2024-03-16T13:14:33.441906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:33.620175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액제 2274
46.3%
단가제(최저가 1611
32.8%
내역입찰(최저가 864
 
17.6%
리스입찰 157
 
3.2%
단가제 4
 
0.1%
내역입찰(적격심사 1
 
< 0.1%

계약체결방법명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
일반경쟁
3668 
수의계약
970 
2단계경쟁(동시)
 
234
협상에의한계약(서류)
 
29
2단계경쟁(분리)
 
10

Length

Max length11
Median length4
Mean length4.2897577
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 3668
74.7%
수의계약 970
 
19.8%
2단계경쟁(동시) 234
 
4.8%
협상에의한계약(서류) 29
 
0.6%
2단계경쟁(분리) 10
 
0.2%

Length

2024-03-16T13:14:33.806606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:33.958892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반경쟁 3668
74.7%
수의계약 970
 
19.8%
2단계경쟁(동시 234
 
4.8%
협상에의한계약(서류 29
 
0.6%
2단계경쟁(분리 10
 
0.2%

계약체결일자
Date

Distinct966
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
Minimum2017-02-01 00:00:00
Maximum2023-09-27 00:00:00
2024-03-16T13:14:34.128239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:34.322714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약기간
Text

Distinct2610
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
2024-03-16T13:14:34.679404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters103131
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1818 ?
Unique (%)37.0%

Sample

1st row2017-02-01~2018-11-30
2nd row2017-02-02~2018-12-31
3rd row2017-02-10~2018-11-30
4th row2017-02-10~2018-11-30
5th row2017-02-13~2019-12-15
ValueCountFrequency (%)
2021-09-29~2022-09-30 23
 
0.5%
2018-06-21~2019-06-30 20
 
0.4%
2021-08-09~2022-09-30 19
 
0.4%
2021-09-08~2022-09-30 19
 
0.4%
2022-08-11~2023-09-30 18
 
0.4%
2021-09-27~2022-09-30 18
 
0.4%
2017-07-11~2018-06-30 17
 
0.3%
2021-09-10~2022-09-30 16
 
0.3%
2018-07-31~2019-06-30 16
 
0.3%
2019-12-24~2020-09-30 16
 
0.3%
Other values (2600) 4729
96.3%
2024-03-16T13:14:35.116807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25566
24.8%
2 20163
19.6%
- 19644
19.0%
1 13327
12.9%
3 5756
 
5.6%
~ 4911
 
4.8%
9 4846
 
4.7%
8 2991
 
2.9%
6 2357
 
2.3%
7 2057
 
2.0%
Other values (2) 1513
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78576
76.2%
Dash Punctuation 19644
 
19.0%
Math Symbol 4911
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25566
32.5%
2 20163
25.7%
1 13327
17.0%
3 5756
 
7.3%
9 4846
 
6.2%
8 2991
 
3.8%
6 2357
 
3.0%
7 2057
 
2.6%
4 768
 
1.0%
5 745
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 19644
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4911
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25566
24.8%
2 20163
19.6%
- 19644
19.0%
1 13327
12.9%
3 5756
 
5.6%
~ 4911
 
4.8%
9 4846
 
4.7%
8 2991
 
2.9%
6 2357
 
2.3%
7 2057
 
2.0%
Other values (2) 1513
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25566
24.8%
2 20163
19.6%
- 19644
19.0%
1 13327
12.9%
3 5756
 
5.6%
~ 4911
 
4.8%
9 4846
 
4.7%
8 2991
 
2.9%
6 2357
 
2.3%
7 2057
 
2.0%
Other values (2) 1513
 
1.5%

계약기관구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
국가기관
4911 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국가기관 4911
100.0%

Length

2024-03-16T13:14:35.333777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:35.468021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가기관 4911
100.0%

계약기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
방위사업청
4911 

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 4911
100.0%

Length

2024-03-16T13:14:35.609259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:35.744533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방위사업청 4911
100.0%

계약기관담당부서명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
미래전력사업국제계약팀
2084 
국제부품계약팀(구:19.09.16)
1809 
기반전력사업국제계약팀
518 
국제장비계약팀(구:19.09.16)
 
191
대정부계약팀(구:19.09.16)
 
152
Other values (12)
 
157

Length

Max length19
Median length11
Mean length14.368153
Min length6

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
미래전력사업국제계약팀 2084
42.4%
국제부품계약팀(구:19.09.16) 1809
36.8%
기반전력사업국제계약팀 518
 
10.5%
국제장비계약팀(구:19.09.16) 191
 
3.9%
대정부계약팀(구:19.09.16) 152
 
3.1%
헬기총괄계약팀 50
 
1.0%
항공기총괄계약팀 24
 
0.5%
기동총괄계약팀 21
 
0.4%
화력총괄계약팀 17
 
0.3%
연구개발총괄계약팀 16
 
0.3%
Other values (7) 29
 
0.6%

Length

2024-03-16T13:14:35.922344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미래전력사업국제계약팀 2084
42.4%
국제부품계약팀(구:19.09.16 1809
36.8%
기반전력사업국제계약팀 518
 
10.5%
국제장비계약팀(구:19.09.16 191
 
3.9%
대정부계약팀(구:19.09.16 152
 
3.1%
헬기총괄계약팀 50
 
1.0%
항공기총괄계약팀 24
 
0.5%
기동총괄계약팀 21
 
0.4%
화력총괄계약팀 17
 
0.3%
연구개발총괄계약팀 16
 
0.3%
Other values (7) 29
 
0.6%

계약기관담당자명
Text

Distinct83
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
2024-03-16T13:14:36.212281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.0024435
Min length3

Characters and Unicode

Total characters14745
Distinct characters113
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

Unique13 ?
Unique (%)0.3%

Sample

1st row김동환
2nd row장혜진
3rd row윤선중
4th row윤선중
5th row이영림
ValueCountFrequency (%)
김웅호 599
12.2%
장윤호 410
 
8.3%
이지원 408
 
8.3%
박보영 355
 
7.2%
김학성 345
 
7.0%
주홍길 320
 
6.5%
박아름 314
 
6.4%
윤효주 299
 
6.1%
임우정 232
 
4.7%
김재희 214
 
4.4%
Other values (74) 1416
28.8%
2024-03-16T13:14:36.650938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1417
 
9.6%
호 1009
 
6.8%
박 794
 
5.4%
이 789
 
5.4%
윤 741
 
5.0%
주 626
 
4.2%
웅 599
 
4.1%
원 499
 
3.4%
영 486
 
3.3%
정 477
 
3.2%
Other values (103) 7308
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14740
> 99.9%
Decimal Number 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1417
 
9.6%
호 1009
 
6.8%
박 794
 
5.4%
이 789
 
5.4%
윤 741
 
5.0%
주 626
 
4.2%
웅 599
 
4.1%
원 499
 
3.4%
영 486
 
3.3%
정 477
 
3.2%
Other values (98) 7303
49.5%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14740
> 99.9%
Common 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1417
 
9.6%
호 1009
 
6.8%
박 794
 
5.4%
이 789
 
5.4%
윤 741
 
5.0%
주 626
 
4.2%
웅 599
 
4.1%
원 499
 
3.4%
영 486
 
3.3%
정 477
 
3.2%
Other values (98) 7303
49.5%
Common
ValueCountFrequency (%)
) 1
20.0%
( 1
20.0%
1
20.0%
0 1
20.0%
1 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14740
> 99.9%
ASCII 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1417
 
9.6%
호 1009
 
6.8%
박 794
 
5.4%
이 789
 
5.4%
윤 741
 
5.0%
주 626
 
4.2%
웅 599
 
4.1%
원 499
 
3.4%
영 486
 
3.3%
정 477
 
3.2%
Other values (98) 7303
49.5%
ASCII
ValueCountFrequency (%)
) 1
20.0%
( 1
20.0%
1
20.0%
0 1
20.0%
1 1
20.0%

수요기관구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
국가기관
4911 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국가기관 4911
100.0%

Length

2024-03-16T13:14:37.222849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:37.363633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가기관 4911
100.0%

수요기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
방위사업청
4911 

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 4911
100.0%

Length

2024-03-16T13:14:37.541342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:37.709652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방위사업청 4911
100.0%

대표업체명
Text

Distinct395
Distinct (%)8.1%
Missing22
Missing (%)0.4%
Memory size38.5 KiB
2024-03-16T13:14:38.223673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length19.683371
Min length2

Characters and Unicode

Total characters96232
Distinct characters71
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.8%

Sample

1st rowAEROMETALS
2nd rowELBIT SYSTEMS LTD
3rd rowAIR ASIA COMPANY LIMITED
4th rowLeonardo UK Ltd
5th rowTHALES NEDERLAND B.V
ValueCountFrequency (%)
ltd 1141
 
8.0%
co 801
 
5.6%
inc 759
 
5.3%
enterprise 578
 
4.0%
company 404
 
2.8%
international 380
 
2.7%
corp 378
 
2.6%
amko 327
 
2.3%
trading 310
 
2.2%
systems 288
 
2.0%
Other values (582) 8965
62.6%
2024-03-16T13:14:39.110680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9445
 
9.8%
E 4786
 
5.0%
A 4382
 
4.6%
T 4221
 
4.4%
I 4154
 
4.3%
N 3977
 
4.1%
n 3623
 
3.8%
C 3503
 
3.6%
S 3423
 
3.6%
L 3298
 
3.4%
Other values (61) 51420
53.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 49896
51.8%
Lowercase Letter 31543
32.8%
Space Separator 9445
 
9.8%
Other Punctuation 4672
 
4.9%
Dash Punctuation 451
 
0.5%
Decimal Number 84
 
0.1%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Other Letter 15
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 4786
 
9.6%
A 4382
 
8.8%
T 4221
 
8.5%
I 4154
 
8.3%
N 3977
 
8.0%
C 3503
 
7.0%
S 3423
 
6.9%
L 3298
 
6.6%
O 3077
 
6.2%
R 3024
 
6.1%
Other values (16) 12051
24.2%
Lowercase Letter
ValueCountFrequency (%)
n 3623
11.5%
e 3289
10.4%
o 3240
10.3%
t 2945
9.3%
r 2630
8.3%
i 2572
8.2%
a 2539
 
8.0%
s 1568
 
5.0%
d 1453
 
4.6%
l 1289
 
4.1%
Other values (16) 6395
20.3%
Other Punctuation
ValueCountFrequency (%)
. 2968
63.5%
, 1514
32.4%
& 144
 
3.1%
; 10
 
0.2%
＆ 10
 
0.2%
# 10
 
0.2%
' 9
 
0.2%
/ 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 65
77.4%
9 10
 
11.9%
2 6
 
7.1%
4 3
 
3.6%
Other Letter
ValueCountFrequency (%)
사 5
33.3%
본 5
33.3%
임 5
33.3%
Space Separator
ValueCountFrequency (%)
9445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 451
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81439
84.6%
Common 14778
 
15.4%
Hangul 15
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 4786
 
5.9%
A 4382
 
5.4%
T 4221
 
5.2%
I 4154
 
5.1%
N 3977
 
4.9%
n 3623
 
4.4%
C 3503
 
4.3%
S 3423
 
4.2%
L 3298
 
4.0%
e 3289
 
4.0%
Other values (42) 42783
52.5%
Common
ValueCountFrequency (%)
9445
63.9%
. 2968
 
20.1%
, 1514
 
10.2%
- 451
 
3.1%
& 144
 
1.0%
3 65
 
0.4%
( 63
 
0.4%
) 63
 
0.4%
; 10
 
0.1%
＆ 10
 
0.1%
Other values (6) 45
 
0.3%
Hangul
ValueCountFrequency (%)
사 5
33.3%
본 5
33.3%
임 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96207
> 99.9%
Hangul 15
 
< 0.1%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9445
 
9.8%
E 4786
 
5.0%
A 4382
 
4.6%
T 4221
 
4.4%
I 4154
 
4.3%
N 3977
 
4.1%
n 3623
 
3.8%
C 3503
 
3.6%
S 3423
 
3.6%
L 3298
 
3.4%
Other values (57) 51395
53.4%
None
ValueCountFrequency (%)
＆ 10
100.0%
Hangul
ValueCountFrequency (%)
사 5
33.3%
본 5
33.3%
임 5
33.3%

Correlations

2024-03-16T13:14:39.302165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약체결형태명계약체결방법명계약기관담당부서명계약기관담당자명
계약체결형태명1.0000.6440.7100.819
계약체결방법명0.6441.0000.8420.954
계약기관담당부서명0.7100.8421.0000.986
계약기관담당자명0.8190.9540.9861.000
2024-03-16T13:14:39.446772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약체결형태명계약기관담당부서명계약체결방법명
계약체결형태명1.0000.4320.504
계약기관담당부서명0.4321.0000.635
계약체결방법명0.5040.6351.000
2024-03-16T13:14:39.562397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약체결형태명계약체결방법명계약기관담당부서명
계약체결형태명1.0000.5040.432
계약체결방법명0.5041.0000.635
계약기관담당부서명0.4320.6351.000

Missing values

2024-03-16T13:14:30.256044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:14:30.547967image/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

계약번호계약명업무구분명계약체결형태명계약체결방법명계약체결일자계약기간계약기관구분명계약기관명계약기관담당부서명계약기관담당자명수요기관구분명수요기관명대표업체명
0KD71AB04O01Repair for Weapon and Radio외자내역입찰(최저가)수의계약2017-02-012017-02-01~2018-11-30국가기관방위사업청대정부계약팀(구:19.09.16)김동환국가기관방위사업청AEROMETALS
1KD73AB04O01HH-60 부품정비 한도액계약외자내역입찰(최저가)수의계약2017-02-022017-02-02~2018-12-31국가기관방위사업청대정부계약팀(구:19.09.16)장혜진국가기관방위사업청ELBIT SYSTEMS LTD
2KD71AB04O02REPAIR FOR CH-47 HOIST외자내역입찰(최저가)수의계약2017-02-102017-02-10~2018-11-30국가기관방위사업청대정부계약팀(구:19.09.16)윤선중국가기관방위사업청AIR ASIA COMPANY LIMITED
3KD71BB04O01REPAIR FOR HALO외자내역입찰(최저가)수의계약2017-02-102017-02-10~2018-11-30국가기관방위사업청대정부계약팀(구:19.09.16)윤선중국가기관방위사업청Leonardo UK Ltd
4KD72BB04O0130mm 골키퍼 부품정비외자내역입찰(최저가)수의계약2017-02-132017-02-13~2019-12-15국가기관방위사업청대정부계약팀(구:19.09.16)이영림국가기관방위사업청THALES NEDERLAND B.V
5KD73AH04O01F-15K 항공기 PBL 2차 사업외자내역입찰(최저가)수의계약2017-02-132017-02-13~2022-02-28국가기관방위사업청대정부계약팀(구:19.09.16)심정록국가기관방위사업청THE BOEING COMPANY
6KD71AM08P01S/P for Weapon and Radio외자리스입찰수의계약2017-02-142017-02-14~2018-12-31국가기관방위사업청국제부품계약팀(구:19.09.16)정수진국가기관방위사업청AEROMETALS
7KD73AB04O02Repair for B-412 parts외자내역입찰(최저가)수의계약2017-02-142017-02-14~2018-12-31국가기관방위사업청대정부계약팀(구:19.09.16)심연주국가기관방위사업청AIR ASIA COMPANY LIMITED
8KD71FB04O01REPAIR FOR CHUNMA PARTS외자내역입찰(최저가)수의계약2017-02-172017-02-17~2018-11-30국가기관방위사업청대정부계약팀(구:19.09.16)김동환국가기관방위사업청Thales Las France SAS
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