Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells174
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory236.0 B

Variable types

Text11
Numeric4
Categorical12
DateTime1

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 군수품에 대한 계약정보를 제공합니다.계약번호, 계약차수, 계약명 등 수록됨
Author방위사업청
URLhttps://www.data.go.kr/data/15050920/fileData.do

Alerts

계약기관구분명 has constant value ""Constant
수요기관구분명 has constant value ""Constant
국내업체여부 has constant value ""Constant
계약체결형태명 is highly imbalanced (74.1%)Imbalance
계약체결방법명 is highly imbalanced (58.1%)Imbalance
공동계약여부 is highly imbalanced (88.8%)Imbalance
수의계약사유 is highly imbalanced (53.0%)Imbalance
계약기관명 is highly imbalanced (87.0%)Imbalance
수요기관명 is highly imbalanced (87.0%)Imbalance
대표업체주소 has 111 (1.1%) missing valuesMissing
계약금액 is highly skewed (γ1 = 54.09601943)Skewed
총계약금액 is highly skewed (γ1 = 47.65432542)Skewed
예정가격 is highly skewed (γ1 = 48.5822033)Skewed
계약차수 has 7805 (78.0%) zerosZeros
총계약금액 has 127 (1.3%) zerosZeros

Reproduction

Analysis started2024-03-14 18:07:13.668874
Analysis finished2024-03-14 18:07:18.188915
Duration4.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약번호
Text

Distinct9300
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:19.029936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110000
Distinct characters35
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

Unique8694 ?
Unique (%)86.9%

Sample

1st row2021MDD0286
2nd row2022HDE0021
3rd row2021HDG0170
4th row2022LPC0019
5th row2021LDA0074
ValueCountFrequency (%)
2021lkp0049 5
 
< 0.1%
2021sfn0020 5
 
< 0.1%
2021hdg0170 5
 
< 0.1%
2021umm1063 5
 
< 0.1%
2021lkt0193 4
 
< 0.1%
2022lbb0014 4
 
< 0.1%
2020lkh0077 4
 
< 0.1%
2021uaz0040 4
 
< 0.1%
2021lik0078 4
 
< 0.1%
2021lgs0117 4
 
< 0.1%
Other values (9290) 9956
99.6%
2024-03-15T03:07:20.463860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27301
24.8%
2 27177
24.7%
1 11122
10.1%
L 4776
 
4.3%
C 3703
 
3.4%
M 3163
 
2.9%
3 2891
 
2.6%
H 2740
 
2.5%
S 2342
 
2.1%
4 2337
 
2.1%
Other values (25) 22448
20.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80360
73.1%
Uppercase Letter 29640
 
26.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 4776
16.1%
C 3703
12.5%
M 3163
10.7%
H 2740
9.2%
S 2342
7.9%
D 2274
7.7%
F 2179
7.4%
G 1647
 
5.6%
K 1287
 
4.3%
P 994
 
3.4%
Other values (15) 4535
15.3%
Decimal Number
ValueCountFrequency (%)
0 27301
34.0%
2 27177
33.8%
1 11122
13.8%
3 2891
 
3.6%
4 2337
 
2.9%
5 2096
 
2.6%
6 1923
 
2.4%
7 1903
 
2.4%
8 1832
 
2.3%
9 1778
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 80360
73.1%
Latin 29640
 
26.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 4776
16.1%
C 3703
12.5%
M 3163
10.7%
H 2740
9.2%
S 2342
7.9%
D 2274
7.7%
F 2179
7.4%
G 1647
 
5.6%
K 1287
 
4.3%
P 994
 
3.4%
Other values (15) 4535
15.3%
Common
ValueCountFrequency (%)
0 27301
34.0%
2 27177
33.8%
1 11122
13.8%
3 2891
 
3.6%
4 2337
 
2.9%
5 2096
 
2.6%
6 1923
 
2.4%
7 1903
 
2.4%
8 1832
 
2.3%
9 1778
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27301
24.8%
2 27177
24.7%
1 11122
10.1%
L 4776
 
4.3%
C 3703
 
3.4%
M 3163
 
2.9%
3 2891
 
2.6%
H 2740
 
2.5%
S 2342
 
2.1%
4 2337
 
2.1%
Other values (25) 22448
20.4%

계약차수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4051
Minimum0
Maximum14
Zeros7805
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:07:20.669620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0312615
Coefficient of variation (CV)2.5456962
Kurtosis26.343608
Mean0.4051
Median Absolute Deviation (MAD)0
Skewness4.2763599
Sum4051
Variance1.0635003
MonotonicityNot monotonic
2024-03-15T03:07:20.948066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7805
78.0%
1 1308
 
13.1%
2 449
 
4.5%
3 222
 
2.2%
4 90
 
0.9%
5 48
 
0.5%
6 29
 
0.3%
7 23
 
0.2%
8 11
 
0.1%
9 6
 
0.1%
Other values (5) 9
 
0.1%
ValueCountFrequency (%)
0 7805
78.0%
1 1308
 
13.1%
2 449
 
4.5%
3 222
 
2.2%
4 90
 
0.9%
5 48
 
0.5%
6 29
 
0.3%
7 23
 
0.2%
8 11
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 3
 
< 0.1%
10 3
 
< 0.1%
9 6
 
0.1%
8 11
 
0.1%
7 23
0.2%
6 29
0.3%
5 48
0.5%

계약명
Text

Distinct9144
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:22.081793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length19.693
Min length2

Characters and Unicode

Total characters196930
Distinct characters895
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

Unique8437 ?
Unique (%)84.4%

Sample

1st row2022년 국군수도병원 환자치료식 납품
2nd row22년 물탱크청소 용역
3rd row경기지역 취사 난방 장비용 LPG 구매(3년)
4th row22년 1차 식검소모품 구매
5th row00부대 취사기구(오븐기) 구매
ValueCountFrequency (%)
구매 3205
 
7.9%
등 2024
 
5.0%
용역 1081
 
2.7%
22년 1035
 
2.6%
21년 768
 
1.9%
및 406
 
1.0%
00부대 296
 
0.7%
유지보수 242
 
0.6%
부대조달 237
 
0.6%
제조 215
 
0.5%
Other values (13143) 30862
76.4%
2024-03-15T03:07:23.692297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30830
 
15.7%
2 9520
 
4.8%
1 5082
 
2.6%
구 4959
 
2.5%
) 4335
 
2.2%
( 4303
 
2.2%
매 4273
 
2.2%
- 4073
 
2.1%
용 3367
 
1.7%
0 3359
 
1.7%
Other values (885) 122829
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121452
61.7%
Space Separator 30830
 
15.7%
Decimal Number 24659
 
12.5%
Close Punctuation 4587
 
2.3%
Open Punctuation 4554
 
2.3%
Uppercase Letter 4479
 
2.3%
Dash Punctuation 4073
 
2.1%
Other Punctuation 1414
 
0.7%
Lowercase Letter 648
 
0.3%
Math Symbol 150
 
0.1%
Other values (7) 84
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4959
 
4.1%
매 4273
 
3.5%
용 3367
 
2.8%
기 3214
 
2.6%
대 2288
 
1.9%
역 2260
 
1.9%
년 2247
 
1.9%
등 2232
 
1.8%
비 2125
 
1.7%
품 2021
 
1.7%
Other values (794) 92466
76.1%
Uppercase Letter
ValueCountFrequency (%)
C 457
 
10.2%
A 401
 
9.0%
P 343
 
7.7%
T 299
 
6.7%
S 294
 
6.6%
K 273
 
6.1%
I 255
 
5.7%
G 222
 
5.0%
V 207
 
4.6%
F 205
 
4.6%
Other values (16) 1523
34.0%
Lowercase Letter
ValueCountFrequency (%)
e 68
 
10.5%
o 63
 
9.7%
n 43
 
6.6%
l 42
 
6.5%
a 40
 
6.2%
m 39
 
6.0%
t 39
 
6.0%
r 38
 
5.9%
c 37
 
5.7%
i 36
 
5.6%
Other values (15) 203
31.3%
Decimal Number
ValueCountFrequency (%)
2 9520
38.6%
1 5082
20.6%
0 3359
 
13.6%
3 1485
 
6.0%
4 1097
 
4.4%
5 1076
 
4.4%
6 859
 
3.5%
7 797
 
3.2%
9 726
 
2.9%
8 658
 
2.7%
Other Punctuation
ValueCountFrequency (%)
' 1041
73.6%
/ 284
 
20.1%
. 44
 
3.1%
· 32
 
2.3%
& 6
 
0.4%
% 4
 
0.3%
: 2
 
0.1%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4335
94.5%
] 248
 
5.4%
」 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4303
94.5%
[ 247
 
5.4%
「 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 144
96.0%
+ 3
 
2.0%
→ 3
 
2.0%
Other Symbol
ValueCountFrequency (%)
㎥ 6
50.0%
○ 4
33.3%
△ 2
 
16.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅲ 3
30.0%
Ⅰ 2
 
20.0%
Space Separator
ValueCountFrequency (%)
30830
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4073
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 27
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 20
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121448
61.7%
Common 70341
35.7%
Latin 5137
 
2.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4959
 
4.1%
매 4273
 
3.5%
용 3367
 
2.8%
기 3214
 
2.6%
대 2288
 
1.9%
역 2260
 
1.9%
년 2247
 
1.9%
등 2232
 
1.8%
비 2125
 
1.7%
품 2021
 
1.7%
Other values (790) 92462
76.1%
Latin
ValueCountFrequency (%)
C 457
 
8.9%
A 401
 
7.8%
P 343
 
6.7%
T 299
 
5.8%
S 294
 
5.7%
K 273
 
5.3%
I 255
 
5.0%
G 222
 
4.3%
V 207
 
4.0%
F 205
 
4.0%
Other values (44) 2181
42.5%
Common
ValueCountFrequency (%)
30830
43.8%
2 9520
 
13.5%
1 5082
 
7.2%
) 4335
 
6.2%
( 4303
 
6.1%
- 4073
 
5.8%
0 3359
 
4.8%
3 1485
 
2.1%
4 1097
 
1.6%
5 1076
 
1.5%
Other values (27) 5181
 
7.4%
Han
ValueCountFrequency (%)
用 1
25.0%
必 1
25.0%
對 1
25.0%
美 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121415
61.7%
ASCII 75378
38.3%
None 40
 
< 0.1%
Punctuation 34
 
< 0.1%
Compat Jamo 33
 
< 0.1%
Number Forms 10
 
< 0.1%
CJK Compat 6
 
< 0.1%
Geometric Shapes 6
 
< 0.1%
CJK 4
 
< 0.1%
Arrows 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30830
40.9%
2 9520
 
12.6%
1 5082
 
6.7%
) 4335
 
5.8%
( 4303
 
5.7%
- 4073
 
5.4%
0 3359
 
4.5%
3 1485
 
2.0%
4 1097
 
1.5%
5 1076
 
1.4%
Other values (68) 10218
 
13.6%
Hangul
ValueCountFrequency (%)
구 4959
 
4.1%
매 4273
 
3.5%
용 3367
 
2.8%
기 3214
 
2.6%
대 2288
 
1.9%
역 2260
 
1.9%
년 2247
 
1.9%
등 2232
 
1.8%
비 2125
 
1.8%
품 2021
 
1.7%
Other values (788) 92429
76.1%
None
ValueCountFrequency (%)
· 32
80.0%
」 4
 
10.0%
「 4
 
10.0%
Punctuation
ValueCountFrequency (%)
’ 27
79.4%
‘ 7
 
20.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 20
60.6%
ㆍ 13
39.4%
CJK Compat
ValueCountFrequency (%)
㎥ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅲ 3
30.0%
Ⅰ 2
 
20.0%
Geometric Shapes
ValueCountFrequency (%)
○ 4
66.7%
△ 2
33.3%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
CJK
ValueCountFrequency (%)
用 1
25.0%
必 1
25.0%
對 1
25.0%
美 1
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
7380 
용역
2620 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 7380
73.8%
용역 2620
 
26.2%

Length

2024-03-15T03:07:24.094541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:24.448297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 7380
73.8%
용역 2620
 
26.2%

계약체결형태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
총액계약
9563 
단가계약
 
437

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 9563
95.6%
단가계약 437
 
4.4%

Length

2024-03-15T03:07:24.668094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:24.956669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 9563
95.6%
단가계약 437
 
4.4%

계약체결방법명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의계약
7126 
제한경쟁
1783 
일반경쟁
857 
2단계경쟁(동시)
 
127
협상에의한계약(전자)
 
82
Other values (3)
 
25

Length

Max length11
Median length4
Mean length4.1356
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
수의계약 7126
71.3%
제한경쟁 1783
 
17.8%
일반경쟁 857
 
8.6%
2단계경쟁(동시) 127
 
1.3%
협상에의한계약(전자) 82
 
0.8%
협상에의한계약(서류) 21
 
0.2%
지명경쟁 3
 
< 0.1%
복수경쟁 1
 
< 0.1%

Length

2024-03-15T03:07:25.306131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:25.672915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의계약 7126
71.3%
제한경쟁 1783
 
17.8%
일반경쟁 857
 
8.6%
2단계경쟁(동시 127
 
1.3%
협상에의한계약(전자 82
 
0.8%
협상에의한계약(서류 21
 
0.2%
지명경쟁 3
 
< 0.1%
복수경쟁 1
 
< 0.1%

공동계약여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단독계약
9850 
공동계약
 
150

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독계약 9850
98.5%
공동계약 150
 
1.5%

Length

2024-03-15T03:07:26.008040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:26.169984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독계약 9850
98.5%
공동계약 150
 
1.5%

계약체결일자
Date

Distinct226
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-01 00:00:00
Maximum2022-05-27 00:00:00
2024-03-15T03:07:26.362214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:07:26.614509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약기간
Text

Distinct5027
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:27.825881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.999
Min length11

Characters and Unicode

Total characters209990
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

Unique3348 ?
Unique (%)33.5%

Sample

1st row2022-01-01~2022-12-31
2nd row2022-05-25~2022-12-16
3rd row2021-09-14~2024-06-30
4th row2022-04-07~2022-05-27
5th row2021-10-05~2021-10-20
ValueCountFrequency (%)
2022-01-01~2022-12-31 320
 
3.2%
2022-04-01~2023-03-31 118
 
1.2%
2021-04-01~2022-03-31 80
 
0.8%
2022-04-01~2022-12-31 34
 
0.3%
2022-02-01~2022-12-31 32
 
0.3%
2021-01-01~2021-12-31 28
 
0.3%
2021-12-15~2021-12-24 23
 
0.2%
2022-03-01~2022-12-31 22
 
0.2%
2021-11-01~2021-11-30 22
 
0.2%
2022-03-25~2022-03-31 21
 
0.2%
Other values (5017) 9300
93.0%
2024-03-15T03:07:29.614141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 63092
30.0%
0 40331
19.2%
- 39998
19.0%
1 31776
15.1%
~ 10000
 
4.8%
3 8326
 
4.0%
4 3846
 
1.8%
5 3659
 
1.7%
9 2592
 
1.2%
6 2295
 
1.1%
Other values (2) 4075
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159992
76.2%
Dash Punctuation 39998
 
19.0%
Math Symbol 10000
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63092
39.4%
0 40331
25.2%
1 31776
19.9%
3 8326
 
5.2%
4 3846
 
2.4%
5 3659
 
2.3%
9 2592
 
1.6%
6 2295
 
1.4%
8 2086
 
1.3%
7 1989
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 39998
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 63092
30.0%
0 40331
19.2%
- 39998
19.0%
1 31776
15.1%
~ 10000
 
4.8%
3 8326
 
4.0%
4 3846
 
1.8%
5 3659
 
1.7%
9 2592
 
1.2%
6 2295
 
1.1%
Other values (2) 4075
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 63092
30.0%
0 40331
19.2%
- 39998
19.0%
1 31776
15.1%
~ 10000
 
4.8%
3 8326
 
4.0%
4 3846
 
1.8%
5 3659
 
1.7%
9 2592
 
1.2%
6 2295
 
1.1%
Other values (2) 4075
 
1.9%

계약금액
Real number (ℝ)

SKEWED 

Distinct8142
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8610304 × 108
Minimum0
Maximum9.857 × 1011
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:07:29.876019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile946000
Q16000000
median16934130
Q358543489
95-th percentile7.9987147 × 108
Maximum9.857 × 1011
Range9.857 × 1011
Interquartile range (IQR)52543489

Descriptive statistics

Standard deviation1.4859532 × 1010
Coefficient of variation (CV)25.353106
Kurtosis3149.8683
Mean5.8610304 × 108
Median Absolute Deviation (MAD)13996630
Skewness54.096019
Sum5.8610304 × 1012
Variance2.208057 × 1020
MonotonicityNot monotonic
2024-03-15T03:07:30.191499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
 
0.6%
1000 37
 
0.4%
19800000 29
 
0.3%
3000000 21
 
0.2%
5500000 20
 
0.2%
2000000 19
 
0.2%
18000000 18
 
0.2%
20000000 18
 
0.2%
9000000 16
 
0.2%
22000000 15
 
0.1%
Other values (8132) 9747
97.5%
ValueCountFrequency (%)
0 60
0.6%
100 5
 
0.1%
142 1
 
< 0.1%
160 2
 
< 0.1%
260 1
 
< 0.1%
417 1
 
< 0.1%
428 1
 
< 0.1%
440 1
 
< 0.1%
500 2
 
< 0.1%
531 2
 
< 0.1%
ValueCountFrequency (%)
985700000000 1
< 0.1%
805973000000 1
< 0.1%
636300000000 1
< 0.1%
304004000000 1
< 0.1%
186172000000 1
< 0.1%
154103000000 1
< 0.1%
64469894551 1
< 0.1%
57984000000 1
< 0.1%
56600000000 1
< 0.1%
47984000000 1
< 0.1%

총계약금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct8063
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3912586 × 108
Minimum0
Maximum9.857 × 1011
Zeros127
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:07:30.529992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1077725
Q16545000
median18448500
Q370713000
95-th percentile1.1740626 × 109
Maximum9.857 × 1011
Range9.857 × 1011
Interquartile range (IQR)64168000

Descriptive statistics

Standard deviation1.5691472 × 1010
Coefficient of variation (CV)21.22977
Kurtosis2561.519
Mean7.3912586 × 108
Median Absolute Deviation (MAD)15493145
Skewness47.654325
Sum7.3912586 × 1012
Variance2.4622229 × 1020
MonotonicityNot monotonic
2024-03-15T03:07:30.802060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
 
1.3%
19800000 31
 
0.3%
3000000 21
 
0.2%
5500000 20
 
0.2%
2000000 19
 
0.2%
22000000 17
 
0.2%
18000000 17
 
0.2%
9900000 16
 
0.2%
20000000 16
 
0.2%
9000000 15
 
0.1%
Other values (8053) 9701
97.0%
ValueCountFrequency (%)
0 127
1.3%
1 4
 
< 0.1%
5030 1
 
< 0.1%
12780 1
 
< 0.1%
24700 1
 
< 0.1%
33880 1
 
< 0.1%
43010 1
 
< 0.1%
48300 1
 
< 0.1%
50970 1
 
< 0.1%
53770 1
 
< 0.1%
ValueCountFrequency (%)
985700000000 1
< 0.1%
805973000000 1
< 0.1%
636300000000 1
< 0.1%
304004000000 1
< 0.1%
300290000000 2
< 0.1%
189084000000 2
< 0.1%
186865000000 1
< 0.1%
154103000000 1
< 0.1%
64469894551 1
< 0.1%
56600000000 1
< 0.1%

예정가격
Real number (ℝ)

SKEWED 

Distinct8225
Distinct (%)82.5%
Missing25
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean7.2142823 × 108
Minimum55
Maximum9.85702 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:07:31.064931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile672939
Q16052000
median18150000
Q367437296
95-th percentile1.0673968 × 109
Maximum9.85702 × 1011
Range9.85702 × 1011
Interquartile range (IQR)61385296

Descriptive statistics

Standard deviation1.5828802 × 1010
Coefficient of variation (CV)21.940924
Kurtosis2632.6299
Mean7.2142823 × 108
Median Absolute Deviation (MAD)15626917
Skewness48.582203
Sum7.1962466 × 1012
Variance2.5055097 × 1020
MonotonicityNot monotonic
2024-03-15T03:07:31.567503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19800000 34
 
0.3%
20000000 26
 
0.3%
5000000 23
 
0.2%
5500000 19
 
0.2%
2000000 18
 
0.2%
3000000 18
 
0.2%
18000000 16
 
0.2%
12000000 15
 
0.1%
9000000 14
 
0.1%
1000000 13
 
0.1%
Other values (8215) 9779
97.8%
(Missing) 25
 
0.2%
ValueCountFrequency (%)
55 1
 
< 0.1%
72 1
 
< 0.1%
107 1
 
< 0.1%
132 1
 
< 0.1%
138 1
 
< 0.1%
143 1
 
< 0.1%
149 1
 
< 0.1%
155 1
 
< 0.1%
158 3
< 0.1%
160 3
< 0.1%
ValueCountFrequency (%)
985702000000 1
 
< 0.1%
848393000000 1
 
< 0.1%
636483000000 1
 
< 0.1%
320004000000 1
 
< 0.1%
300338000000 2
< 0.1%
154105000000 1
 
< 0.1%
141018000000 3
< 0.1%
75089637248 1
 
< 0.1%
56869658157 1
 
< 0.1%
52143261497 2
< 0.1%

수의계약사유
Categorical

IMBALANCE 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)
4423 
<NA>
2877 
제26조제1항제5호 가목 3) 추정가격 2천만원 초과 1억원 이하(소기업, 소상공인)
876 
제27조제1항제2호 재공고후 수의계약
 
395
제26조제1항제3호 바목 우수조달물품
 
202
Other values (34)
1227 

Length

Max length61
Median length59
Mean length28.4969
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)
3rd row<NA>
4th row제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)
5th row제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)

Common Values

ValueCountFrequency (%)
제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역) 4423
44.2%
<NA> 2877
28.8%
제26조제1항제5호 가목 3) 추정가격 2천만원 초과 1억원 이하(소기업, 소상공인) 876
 
8.8%
제27조제1항제2호 재공고후 수의계약 395
 
4.0%
제26조제1항제3호 바목 우수조달물품 202
 
2.0%
제27조제3항 기재부 고시에 따른 공고 후 1인입찰 후 수의계약 199
 
2.0%
제26조제1항제5호 바목 국가기관, 지방자치단체와 계약 179
 
1.8%
제26조제1항제5호 마목 다른 법령의 규정에 의하여 국가사업을 위탁 또는 대행 155
 
1.6%
제27조제1항제1호 공고후 수의계약 153
 
1.5%
제26조제1항제2호 자목 단일업체 수의 100
 
1.0%
Other values (29) 441
 
4.4%

Length

2024-03-15T03:07:31.900240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제26조제1항제5호 5802
11.0%
추정가격 5500
10.5%
가목 5472
10.4%
용역 4458
 
8.5%
구매 4424
 
8.4%
2 4423
 
8.4%
2천만원이하(제조 4423
 
8.4%
na 2877
 
5.5%
2천만원 990
 
1.9%
초과 990
 
1.9%
Other values (174) 13148
25.0%

계약기관구분명
Categorical

CONSTANT 

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

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 10000
100.0%

Length

2024-03-15T03:07:32.292566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:32.525225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가기관 10000
100.0%

계약기관명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국방부(부대)
9820 
방위사업청
 
180

Length

Max length7
Median length7
Mean length6.964
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방부(부대)
2nd row국방부(부대)
3rd row국방부(부대)
4th row국방부(부대)
5th row국방부(부대)

Common Values

ValueCountFrequency (%)
국방부(부대) 9820
98.2%
방위사업청 180
 
1.8%

Length

2024-03-15T03:07:32.784985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:33.111646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방부(부대 9820
98.2%
방위사업청 180
 
1.8%

계약기관담당부서명
Text

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:33.882623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3887
Min length3

Characters and Unicode

Total characters73887
Distinct characters143
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

Unique12 ?
Unique (%)0.1%

Sample

1st row국군수도병원
2nd row공군항공안전단
3rd row공군제10전투비행단
4th row제25보병사단
5th row지상작전사령부
ValueCountFrequency (%)
국군재정관리단 626
 
6.0%
해군군수사령부 580
 
5.6%
제2879부대 409
 
3.9%
육군군수사령부 349
 
3.3%
육군 307
 
2.9%
제5378부대 204
 
2.0%
공군군수사령부 197
 
1.9%
공군교육사령부 176
 
1.7%
육군제53보병사단 162
 
1.6%
공군제5공중기동비행단 147
 
1.4%
Other values (212) 7281
69.8%
2024-03-15T03:07:35.206575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 6906
 
9.3%
부 5989
 
8.1%
제 5303
 
7.2%
대 3641
 
4.9%
사 3635
 
4.9%
단 3119
 
4.2%
1 2601
 
3.5%
령 2291
 
3.1%
7 2079
 
2.8%
육 2058
 
2.8%
Other values (133) 36265
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57525
77.9%
Decimal Number 15778
 
21.4%
Space Separator 438
 
0.6%
Open Punctuation 73
 
0.1%
Close Punctuation 73
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
Decimal Number
ValueCountFrequency (%)
1 2601
16.5%
7 2079
13.2%
8 1925
12.2%
9 1821
11.5%
3 1817
11.5%
2 1793
11.4%
5 1461
9.3%
6 1131
7.2%
0 1128
7.1%
4 22
 
0.1%
Space Separator
ValueCountFrequency (%)
438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57525
77.9%
Common 16362
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
Common
ValueCountFrequency (%)
1 2601
15.9%
7 2079
12.7%
8 1925
11.8%
9 1821
11.1%
3 1817
11.1%
2 1793
11.0%
5 1461
8.9%
6 1131
6.9%
0 1128
6.9%
438
 
2.7%
Other values (3) 168
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57525
77.9%
ASCII 16362
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
ASCII
ValueCountFrequency (%)
1 2601
15.9%
7 2079
12.7%
8 1925
11.8%
9 1821
11.1%
3 1817
11.1%
2 1793
11.0%
5 1461
8.9%
6 1131
6.9%
0 1128
6.9%
438
 
2.7%
Other values (3) 168
 
1.0%

계약기관담당자명
Text

Distinct478
Distinct (%)4.8%
Missing19
Missing (%)0.2%
Memory size156.2 KiB
2024-03-15T03:07:36.631212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7331931
Min length2

Characters and Unicode

Total characters27280
Distinct characters181
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.6%

Sample

1st row유정주
2nd row노관형
3rd row김형래
4th row서지민
5th row지도현
ValueCountFrequency (%)
없음 2534
 
25.4%
이대원 173
 
1.7%
정진교 167
 
1.7%
김진회 151
 
1.5%
유정규 150
 
1.5%
원채원 97
 
1.0%
김현중 94
 
0.9%
임현규 82
 
0.8%
임채우 79
 
0.8%
신호용 70
 
0.7%
Other values (468) 6384
64.0%
2024-03-15T03:07:38.488914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27280
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27280
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27280
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

수요기관구분명
Categorical

CONSTANT 

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

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 10000
100.0%

Length

2024-03-15T03:07:38.898956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:39.202917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가기관 10000
100.0%

수요기관명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국방부(부대)
9820 
방위사업청
 
180

Length

Max length7
Median length7
Mean length6.964
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방부(부대)
2nd row국방부(부대)
3rd row국방부(부대)
4th row국방부(부대)
5th row국방부(부대)

Common Values

ValueCountFrequency (%)
국방부(부대) 9820
98.2%
방위사업청 180
 
1.8%

Length

2024-03-15T03:07:39.632836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:39.868400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방부(부대 9820
98.2%
방위사업청 180
 
1.8%

수요기관담당부서명
Text

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:40.609662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3887
Min length3

Characters and Unicode

Total characters73887
Distinct characters143
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

Unique12 ?
Unique (%)0.1%

Sample

1st row국군수도병원
2nd row공군항공안전단
3rd row공군제10전투비행단
4th row제25보병사단
5th row지상작전사령부
ValueCountFrequency (%)
국군재정관리단 626
 
6.0%
해군군수사령부 580
 
5.6%
제2879부대 409
 
3.9%
육군군수사령부 349
 
3.3%
육군 307
 
2.9%
제5378부대 204
 
2.0%
공군군수사령부 197
 
1.9%
공군교육사령부 176
 
1.7%
육군제53보병사단 162
 
1.6%
공군제5공중기동비행단 147
 
1.4%
Other values (212) 7281
69.8%
2024-03-15T03:07:41.932967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 6906
 
9.3%
부 5989
 
8.1%
제 5303
 
7.2%
대 3641
 
4.9%
사 3635
 
4.9%
단 3119
 
4.2%
1 2601
 
3.5%
령 2291
 
3.1%
7 2079
 
2.8%
육 2058
 
2.8%
Other values (133) 36265
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57525
77.9%
Decimal Number 15778
 
21.4%
Space Separator 438
 
0.6%
Open Punctuation 73
 
0.1%
Close Punctuation 73
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
Decimal Number
ValueCountFrequency (%)
1 2601
16.5%
7 2079
13.2%
8 1925
12.2%
9 1821
11.5%
3 1817
11.5%
2 1793
11.4%
5 1461
9.3%
6 1131
7.2%
0 1128
7.1%
4 22
 
0.1%
Space Separator
ValueCountFrequency (%)
438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57525
77.9%
Common 16362
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
Common
ValueCountFrequency (%)
1 2601
15.9%
7 2079
12.7%
8 1925
11.8%
9 1821
11.1%
3 1817
11.1%
2 1793
11.0%
5 1461
8.9%
6 1131
6.9%
0 1128
6.9%
438
 
2.7%
Other values (3) 168
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57525
77.9%
ASCII 16362
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 6906
 
12.0%
부 5989
 
10.4%
제 5303
 
9.2%
대 3641
 
6.3%
사 3635
 
6.3%
단 3119
 
5.4%
령 2291
 
4.0%
육 2058
 
3.6%
공 1792
 
3.1%
수 1586
 
2.8%
Other values (120) 21205
36.9%
ASCII
ValueCountFrequency (%)
1 2601
15.9%
7 2079
12.7%
8 1925
11.8%
9 1821
11.1%
3 1817
11.1%
2 1793
11.0%
5 1461
8.9%
6 1131
6.9%
0 1128
6.9%
438
 
2.7%
Other values (3) 168
 
1.0%

수요기관담당자명
Text

Distinct478
Distinct (%)4.8%
Missing19
Missing (%)0.2%
Memory size156.2 KiB
2024-03-15T03:07:43.139190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7331931
Min length2

Characters and Unicode

Total characters27280
Distinct characters181
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.6%

Sample

1st row유정주
2nd row노관형
3rd row김형래
4th row서지민
5th row지도현
ValueCountFrequency (%)
없음 2534
 
25.4%
이대원 173
 
1.7%
정진교 167
 
1.7%
김진회 151
 
1.5%
유정규 150
 
1.5%
원채원 97
 
1.0%
김현중 94
 
0.9%
임현규 82
 
0.8%
임채우 79
 
0.8%
신호용 70
 
0.7%
Other values (468) 6384
64.0%
2024-03-15T03:07:44.943871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27280
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27280
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27280
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
없 2534
 
9.3%
음 2534
 
9.3%
김 1581
 
5.8%
이 1217
 
4.5%
정 866
 
3.2%
현 772
 
2.8%
진 717
 
2.6%
성 649
 
2.4%
영 638
 
2.3%
박 631
 
2.3%
Other values (171) 15141
55.5%

대표업체명
Text

Distinct5338
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:45.955749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length7.9556
Min length1

Characters and Unicode

Total characters79556
Distinct characters755
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

Unique3558 ?
Unique (%)35.6%

Sample

1st row농업회사법인 주식회사 이례푸드
2nd row엔피스그린
3rd row평화에너지
4th row우리상공(주)
5th row유림기업
ValueCountFrequency (%)
주식회사 3127
 
22.4%
서울지방조달청 111
 
0.8%
부산지방조달청 92
 
0.7%
주 80
 
0.6%
인천지방조달청 76
 
0.5%
사단법인 65
 
0.5%
대구지방조달청 50
 
0.4%
유한회사 49
 
0.4%
재단법인 45
 
0.3%
롯데캐피탈(주 39
 
0.3%
Other values (5505) 10241
73.3%
2024-03-15T03:07:47.641048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5519
 
6.9%
사 4731
 
5.9%
3980
 
5.0%
회 3746
 
4.7%
식 3633
 
4.6%
이 2233
 
2.8%
스 1973
 
2.5%
) 1944
 
2.4%
( 1943
 
2.4%
에 1200
 
1.5%
Other values (745) 48654
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69714
87.6%
Space Separator 3981
 
5.0%
Close Punctuation 1960
 
2.5%
Open Punctuation 1959
 
2.5%
Uppercase Letter 1044
 
1.3%
Lowercase Letter 612
 
0.8%
Other Punctuation 182
 
0.2%
Decimal Number 90
 
0.1%
Dash Punctuation 12
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5519
 
7.9%
사 4731
 
6.8%
회 3746
 
5.4%
식 3633
 
5.2%
이 2233
 
3.2%
스 1973
 
2.8%
에 1200
 
1.7%
지 1170
 
1.7%
업 1052
 
1.5%
산 973
 
1.4%
Other values (675) 43484
62.4%
Uppercase Letter
ValueCountFrequency (%)
S 106
 
10.2%
K 79
 
7.6%
I 74
 
7.1%
N 74
 
7.1%
T 73
 
7.0%
E 73
 
7.0%
G 72
 
6.9%
C 60
 
5.7%
M 59
 
5.7%
A 58
 
5.6%
Other values (14) 316
30.3%
Lowercase Letter
ValueCountFrequency (%)
n 104
17.0%
o 78
12.7%
e 61
10.0%
c 52
8.5%
r 40
 
6.5%
i 36
 
5.9%
a 36
 
5.9%
t 32
 
5.2%
u 28
 
4.6%
m 25
 
4.1%
Other values (12) 120
19.6%
Decimal Number
ValueCountFrequency (%)
1 47
52.2%
2 16
 
17.8%
5 8
 
8.9%
3 7
 
7.8%
6 6
 
6.7%
0 2
 
2.2%
4 2
 
2.2%
9 1
 
1.1%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 114
62.6%
& 29
 
15.9%
, 16
 
8.8%
/ 16
 
8.8%
． 3
 
1.6%
· 2
 
1.1%
＆ 2
 
1.1%
Space Separator
ValueCountFrequency (%)
3980
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1944
99.2%
） 16
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 1943
99.2%
（ 16
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69671
87.6%
Common 8184
 
10.3%
Latin 1656
 
2.1%
Han 45
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5519
 
7.9%
사 4731
 
6.8%
회 3746
 
5.4%
식 3633
 
5.2%
이 2233
 
3.2%
스 1973
 
2.8%
에 1200
 
1.7%
지 1170
 
1.7%
업 1052
 
1.5%
산 973
 
1.4%
Other values (660) 43441
62.4%
Latin
ValueCountFrequency (%)
S 106
 
6.4%
n 104
 
6.3%
K 79
 
4.8%
o 78
 
4.7%
I 74
 
4.5%
N 74
 
4.5%
T 73
 
4.4%
E 73
 
4.4%
G 72
 
4.3%
e 61
 
3.7%
Other values (36) 862
52.1%
Common
ValueCountFrequency (%)
3980
48.6%
) 1944
23.8%
( 1943
23.7%
. 114
 
1.4%
1 47
 
0.6%
& 29
 
0.4%
） 16
 
0.2%
（ 16
 
0.2%
2 16
 
0.2%
, 16
 
0.2%
Other values (13) 63
 
0.8%
Han
ValueCountFrequency (%)
社 6
13.3%
會 6
13.3%
式 6
13.3%
株 6
13.3%
秀 3
6.7%
産 3
6.7%
信 2
 
4.4%
湖 2
 
4.4%
錦 2
 
4.4%
業 2
 
4.4%
Other values (6) 7
15.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69669
87.6%
ASCII 9800
 
12.3%
CJK 45
 
0.1%
None 42
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5519
 
7.9%
사 4731
 
6.8%
회 3746
 
5.4%
식 3633
 
5.2%
이 2233
 
3.2%
스 1973
 
2.8%
에 1200
 
1.7%
지 1170
 
1.7%
업 1052
 
1.5%
산 973
 
1.4%
Other values (659) 43439
62.4%
ASCII
ValueCountFrequency (%)
3980
40.6%
) 1944
19.8%
( 1943
19.8%
. 114
 
1.2%
S 106
 
1.1%
n 104
 
1.1%
K 79
 
0.8%
o 78
 
0.8%
I 74
 
0.8%
N 74
 
0.8%
Other values (53) 1304
 
13.3%
None
ValueCountFrequency (%)
） 16
38.1%
（ 16
38.1%
． 3
 
7.1%
· 2
 
4.8%
㈜ 2
 
4.8%
＆ 2
 
4.8%
　 1
 
2.4%
CJK
ValueCountFrequency (%)
社 6
13.3%
會 6
13.3%
式 6
13.3%
株 6
13.3%
秀 3
6.7%
産 3
6.7%
信 2
 
4.4%
湖 2
 
4.4%
錦 2
 
4.4%
業 2
 
4.4%
Other values (6) 7
15.6%

국내업체여부
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내업체 10000
100.0%

Length

2024-03-15T03:07:48.100589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:48.397244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내업체 10000
100.0%

대표업체대표자명
Text

Distinct4731
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:50.101680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.2242
Min length2

Characters and Unicode

Total characters32242
Distinct characters325
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2865 ?
Unique (%)28.6%

Sample

1st row김소현
2nd row이인행
3rd row이주형
4th row우충도
5th row박종우
ValueCountFrequency (%)
서울지방조달청장 111
 
1.1%
부산지방조달청장 92
 
0.9%
인천지방조달청장 76
 
0.8%
대구지방조달청장 50
 
0.5%
추광식 39
 
0.4%
광주지방조달청장 31
 
0.3%
대전지방조달청장 31
 
0.3%
이의정 30
 
0.3%
김미숙 29
 
0.3%
황일문 29
 
0.3%
Other values (4744) 9536
94.8%
2024-03-15T03:07:51.954547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2043
 
6.3%
이 1464
 
4.5%
정 1093
 
3.4%
영 928
 
2.9%
조 785
 
2.4%
장 688
 
2.1%
박 681
 
2.1%
지 612
 
1.9%
진 590
 
1.8%
성 502
 
1.6%
Other values (315) 22856
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32108
99.6%
Uppercase Letter 64
 
0.2%
Space Separator 56
 
0.2%
Other Punctuation 5
 
< 0.1%
Decimal Number 4
 
< 0.1%
Modifier Symbol 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2043
 
6.4%
이 1464
 
4.6%
정 1093
 
3.4%
영 928
 
2.9%
조 785
 
2.4%
장 688
 
2.1%
박 681
 
2.1%
지 612
 
1.9%
진 590
 
1.8%
성 502
 
1.6%
Other values (295) 22722
70.8%
Uppercase Letter
ValueCountFrequency (%)
O 10
15.6%
N 10
15.6%
E 9
14.1%
K 5
7.8%
A 4
 
6.2%
P 4
 
6.2%
R 4
 
6.2%
S 3
 
4.7%
J 3
 
4.7%
T 3
 
4.7%
Other values (5) 9
14.1%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32108
99.6%
Common 70
 
0.2%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2043
 
6.4%
이 1464
 
4.6%
정 1093
 
3.4%
영 928
 
2.9%
조 785
 
2.4%
장 688
 
2.1%
박 681
 
2.1%
지 612
 
1.9%
진 590
 
1.8%
성 502
 
1.6%
Other values (295) 22722
70.8%
Latin
ValueCountFrequency (%)
O 10
15.6%
N 10
15.6%
E 9
14.1%
K 5
7.8%
A 4
 
6.2%
P 4
 
6.2%
R 4
 
6.2%
S 3
 
4.7%
J 3
 
4.7%
T 3
 
4.7%
Other values (5) 9
14.1%
Common
ValueCountFrequency (%)
56
80.0%
, 5
 
7.1%
1 4
 
5.7%
` 4
 
5.7%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32108
99.6%
ASCII 134
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2043
 
6.4%
이 1464
 
4.6%
정 1093
 
3.4%
영 928
 
2.9%
조 785
 
2.4%
장 688
 
2.1%
박 681
 
2.1%
지 612
 
1.9%
진 590
 
1.8%
성 502
 
1.6%
Other values (295) 22722
70.8%
ASCII
ValueCountFrequency (%)
56
41.8%
O 10
 
7.5%
N 10
 
7.5%
E 9
 
6.7%
K 5
 
3.7%
, 5
 
3.7%
1 4
 
3.0%
A 4
 
3.0%
P 4
 
3.0%
R 4
 
3.0%
Other values (10) 23
17.2%

대표업체사업자등록번호
Text

Distinct5384
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:07:52.956056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
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

Unique3614 ?
Unique (%)36.1%

Sample

1st row724-88-00439
2nd row204-13-69561
3rd row124-47-91476
4th row202-81-41737
5th row138-06-91429
ValueCountFrequency (%)
114-83-01034 111
 
1.1%
606-83-30606 92
 
0.9%
121-83-00052 76
 
0.8%
502-83-02400 50
 
0.5%
120-81-55981 39
 
0.4%
314-83-00329 31
 
0.3%
410-83-02509 31
 
0.3%
605-45-63500 30
 
0.3%
113-81-32864 29
 
0.3%
221-83-02781 29
 
0.3%
Other values (5374) 9482
94.8%
2024-03-15T03:07:54.222864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
16.7%
1 16212
13.5%
0 15447
12.9%
8 12895
10.7%
2 10985
9.2%
6 9031
7.5%
3 8729
7.3%
4 7519
 
6.3%
5 6860
 
5.7%
7 6793
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Dash Punctuation 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16212
16.2%
0 15447
15.4%
8 12895
12.9%
2 10985
11.0%
6 9031
9.0%
3 8729
8.7%
4 7519
7.5%
5 6860
6.9%
7 6793
6.8%
9 5529
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
16.7%
1 16212
13.5%
0 15447
12.9%
8 12895
10.7%
2 10985
9.2%
6 9031
7.5%
3 8729
7.3%
4 7519
 
6.3%
5 6860
 
5.7%
7 6793
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
16.7%
1 16212
13.5%
0 15447
12.9%
8 12895
10.7%
2 10985
9.2%
6 9031
7.5%
3 8729
7.3%
4 7519
 
6.3%
5 6860
 
5.7%
7 6793
 
5.7%

대표업체주소
Text

MISSING 

Distinct5343
Distinct (%)54.0%
Missing111
Missing (%)1.1%
Memory size156.2 KiB
2024-03-15T03:07:55.523614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length61
Mean length29.381434
Min length12

Characters and Unicode

Total characters290553
Distinct characters675
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

Unique3573 ?
Unique (%)36.1%

Sample

1st row경기도 하남시 하남대로195번길55-9 (상산곡동)
2nd row서울특별시 동대문구 제기로128-1 (청량리동)지층
3rd row경기도 화성시 장안면 3.1만세로558-0
4th row서울특별시 강북구 월계로7나길9-0 (미아동)
5th row경기도 안양시 동안구 부림로 113, 현대아이스페이스 1318(관양동)
ValueCountFrequency (%)
경기도 2823
 
5.8%
서울특별시 1866
 
3.8%
경상남도 970
 
2.0%
부산광역시 669
 
1.4%
창원시 579
 
1.2%
인천광역시 447
 
0.9%
대전광역시 417
 
0.9%
충청남도 361
 
0.7%
강원특별자치도 337
 
0.7%
경상북도 336
 
0.7%
Other values (10598) 40050
82.0%
2024-03-15T03:07:57.375837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39151
 
13.5%
1 11409
 
3.9%
동 9776
 
3.4%
시 9736
 
3.4%
로 8627
 
3.0%
0 8575
 
3.0%
) 7610
 
2.6%
( 7585
 
2.6%
2 7317
 
2.5%
구 6826
 
2.3%
Other values (665) 173941
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170962
58.8%
Decimal Number 53457
 
18.4%
Space Separator 39151
 
13.5%
Close Punctuation 7610
 
2.6%
Open Punctuation 7585
 
2.6%
Dash Punctuation 5565
 
1.9%
Other Punctuation 4848
 
1.7%
Uppercase Letter 1237
 
0.4%
Lowercase Letter 97
 
< 0.1%
Math Symbol 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9776
 
5.7%
시 9736
 
5.7%
로 8627
 
5.0%
구 6826
 
4.0%
도 6484
 
3.8%
경 4471
 
2.6%
길 4171
 
2.4%
산 3772
 
2.2%
서 3576
 
2.1%
호 3352
 
2.0%
Other values (604) 110171
64.4%
Uppercase Letter
ValueCountFrequency (%)
A 219
17.7%
C 158
12.8%
B 138
11.2%
E 99
 
8.0%
T 85
 
6.9%
R 69
 
5.6%
L 57
 
4.6%
I 55
 
4.4%
S 48
 
3.9%
P 45
 
3.6%
Other values (15) 264
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 19
19.6%
s 18
18.6%
n 11
11.3%
r 9
9.3%
o 6
 
6.2%
a 6
 
6.2%
c 5
 
5.2%
t 5
 
5.2%
h 4
 
4.1%
w 3
 
3.1%
Other values (5) 11
11.3%
Decimal Number
ValueCountFrequency (%)
1 11409
21.3%
0 8575
16.0%
2 7317
13.7%
3 5650
10.6%
4 4167
 
7.8%
5 3925
 
7.3%
6 3481
 
6.5%
7 3416
 
6.4%
8 2776
 
5.2%
9 2741
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 4781
98.6%
. 56
 
1.2%
/ 7
 
0.1%
* 2
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
39151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7610
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5565
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170961
58.8%
Common 118257
40.7%
Latin 1334
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9776
 
5.7%
시 9736
 
5.7%
로 8627
 
5.0%
구 6826
 
4.0%
도 6484
 
3.8%
경 4471
 
2.6%
길 4171
 
2.4%
산 3772
 
2.2%
서 3576
 
2.1%
호 3352
 
2.0%
Other values (603) 110170
64.4%
Latin
ValueCountFrequency (%)
A 219
16.4%
C 158
11.8%
B 138
 
10.3%
E 99
 
7.4%
T 85
 
6.4%
R 69
 
5.2%
L 57
 
4.3%
I 55
 
4.1%
S 48
 
3.6%
P 45
 
3.4%
Other values (30) 361
27.1%
Common
ValueCountFrequency (%)
39151
33.1%
1 11409
 
9.6%
0 8575
 
7.3%
) 7610
 
6.4%
( 7585
 
6.4%
2 7317
 
6.2%
3 5650
 
4.8%
- 5565
 
4.7%
, 4781
 
4.0%
4 4167
 
3.5%
Other values (11) 16447
13.9%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170961
58.8%
ASCII 119591
41.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39151
32.7%
1 11409
 
9.5%
0 8575
 
7.2%
) 7610
 
6.4%
( 7585
 
6.3%
2 7317
 
6.1%
3 5650
 
4.7%
- 5565
 
4.7%
, 4781
 
4.0%
4 4167
 
3.5%
Other values (51) 17781
14.9%
Hangul
ValueCountFrequency (%)
동 9776
 
5.7%
시 9736
 
5.7%
로 8627
 
5.0%
구 6826
 
4.0%
도 6484
 
3.8%
경 4471
 
2.6%
길 4171
 
2.4%
산 3772
 
2.2%
서 3576
 
2.1%
호 3352
 
2.0%
Other values (603) 110170
64.4%
CJK
ValueCountFrequency (%)
家 1
100.0%

계약유형
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품구매계약서
6230 
용역계약서
2710 
물품제조계약서
 
499
물품제조설치계약서
 
358
물품제조구매계약서
 
136
Other values (2)
 
67

Length

Max length9
Median length7
Mean length6.5434
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물품구매계약서
2nd row용역계약서
3rd row물품구매계약서
4th row물품구매계약서
5th row물품구매계약서

Common Values

ValueCountFrequency (%)
물품구매계약서 6230
62.3%
용역계약서 2710
27.1%
물품제조계약서 499
 
5.0%
물품제조설치계약서 358
 
3.6%
물품제조구매계약서 136
 
1.4%
리스계약서 52
 
0.5%
보험계약서 15
 
0.1%

Length

2024-03-15T03:07:57.738814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:58.015965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품구매계약서 6230
62.3%
용역계약서 2710
27.1%
물품제조계약서 499
 
5.0%
물품제조설치계약서 358
 
3.6%
물품제조구매계약서 136
 
1.4%
리스계약서 52
 
0.5%
보험계약서 15
 
0.1%

물가변동계약금액조정방법
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국계령 제64조 제1항 1호 품목조정율
4199 
<NA>
4034 
국계령 제64조 제1항 2호 지수조정율
1517 
국계령 제64조 제4항 기타
 
250

Length

Max length21
Median length21
Mean length13.9922
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row국계령 제64조 제1항 1호 품목조정율

Common Values

ValueCountFrequency (%)
국계령 제64조 제1항 1호 품목조정율 4199
42.0%
<NA> 4034
40.3%
국계령 제64조 제1항 2호 지수조정율 1517
 
15.2%
국계령 제64조 제4항 기타 250
 
2.5%

Length

2024-03-15T03:07:58.430403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:07:58.768835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국계령 5966
17.7%
제64조 5966
17.7%
제1항 5716
17.0%
1호 4199
12.5%
품목조정율 4199
12.5%
na 4034
12.0%
2호 1517
 
4.5%
지수조정율 1517
 
4.5%
제4항 250
 
0.7%
기타 250
 
0.7%

Sample

계약번호계약차수계약명업무구분명계약체결형태명계약체결방법명공동계약여부계약체결일자계약기간계약금액총계약금액예정가격수의계약사유계약기관구분명계약기관명계약기관담당부서명계약기관담당자명수요기관구분명수요기관명수요기관담당부서명수요기관담당자명대표업체명국내업체여부대표업체대표자명대표업체사업자등록번호대표업체주소계약유형물가변동계약금액조정방법
106452021MDD028632022년 국군수도병원 환자치료식 납품물품총액계약제한경쟁단독계약2021-12-292022-01-01~2022-12-31492936400492936400434296899<NA>국가기관국방부(부대)국군수도병원유정주국가기관국방부(부대)국군수도병원유정주농업회사법인 주식회사 이례푸드국내업체김소현724-88-00439경기도 하남시 하남대로195번길55-9 (상산곡동)물품구매계약서<NA>
218132022HDE0021022년 물탱크청소 용역용역총액계약수의계약단독계약2022-05-252022-05-25~2022-12-16166100016610001661000제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)공군항공안전단노관형국가기관국방부(부대)공군항공안전단노관형엔피스그린국내업체이인행204-13-69561서울특별시 동대문구 제기로128-1 (청량리동)지층용역계약서<NA>
8662021HDG01700경기지역 취사 난방 장비용 LPG 구매(3년)물품총액계약제한경쟁단독계약2021-09-142021-09-14~2024-06-3052730800377800000452598055<NA>국가기관국방부(부대)공군제10전투비행단김형래국가기관국방부(부대)공군제10전투비행단김형래평화에너지국내업체이주형124-47-91476경기도 화성시 장안면 3.1만세로558-0물품구매계약서<NA>
179142022LPC0019022년 1차 식검소모품 구매물품총액계약수의계약단독계약2022-04-072022-04-07~2022-05-27149000001490000015534400제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제25보병사단서지민국가기관국방부(부대)제25보병사단서지민우리상공(주)국내업체우충도202-81-41737서울특별시 강북구 월계로7나길9-0 (미아동)물품구매계약서<NA>
19972021LDA0074000부대 취사기구(오븐기) 구매물품총액계약수의계약단독계약2021-10-052021-10-05~2021-10-20900000090000009000000제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)지상작전사령부지도현국가기관국방부(부대)지상작전사령부지도현유림기업국내업체박종우138-06-91429경기도 안양시 동안구 부림로 113, 현대아이스페이스 1318(관양동)물품구매계약서국계령 제64조 제1항 1호 품목조정율
42172021LKF00800백신호송지원 바디캠 구매물품총액계약수의계약단독계약2021-11-032021-11-03~2021-11-26240000024000002400000제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제6755부대없음국가기관국방부(부대)제6755부대없음가자OA국내업체장부식504-02-15203대구광역시 북구 유통단지로25 (산격동) 4동224호물품구매계약서<NA>
76642021HDG02250실내사격장 보수물품총액계약수의계약단독계약2021-12-062021-12-06~2021-12-27300040003000400030004000제26조제1항제2호 아목 특허, 실용신안, 의장등록국가기관국방부(부대)공군제10전투비행단없음국가기관국방부(부대)공군제10전투비행단없음주식회사 에아가이아국내업체김선구853-87-00026강원도 춘천시 동내면 점말1길78-30용역계약서<NA>
161562022UDA0003022-1차 다락대훈련장 물품구매(감젝센서 등 7건)물품총액계약수의계약단독계약2022-03-232022-03-23~2022-04-08181550001815500019734000제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제3190부대강지애국가기관국방부(부대)제3190부대강지애주식회사 마루솔루션국내업체심현주883-88-01168경기도 군포시 고산로166, 101동 902호(당정동, 에스케이벤티움)물품구매계약서<NA>
111492021MDD02900폐기물수거용거치대 구매물품총액계약수의계약단독계약2021-12-312021-12-27~2021-12-31746460074646007464600제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)국군수도병원없음국가기관국방부(부대)국군수도병원없음에프티에이치(FTH Company)국내업체박형도162-30-00590경기도 김포시 대곶면 거물대리127-1물품구매계약서<NA>
84232021SFL0093022-교-1-보수교육 PCR진단검사 위탁용역용역총액계약수의계약단독계약2021-12-102022-01-01~2022-03-31596000059600006622287제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제3283부대이정민국가기관국방부(부대)제3283부대이정민의료법인 녹십자의료재단국내업체이은희213-82-03521경기도 용인시 기흥구 이현로30번길 107()용역계약서국계령 제64조 제1항 1호 품목조정율
계약번호계약차수계약명업무구분명계약체결형태명계약체결방법명공동계약여부계약체결일자계약기간계약금액총계약금액예정가격수의계약사유계약기관구분명계약기관명계약기관담당부서명계약기관담당자명수요기관구분명수요기관명수요기관담당부서명수요기관담당자명대표업체명국내업체여부대표업체대표자명대표업체사업자등록번호대표업체주소계약유형물가변동계약금액조정방법
203662022LCF03120고정구 등 47항목 구매(궤도공구)물품총액계약제한경쟁단독계약2022-05-062022-05-06~2022-11-30163795260163795260185071521<NA>국가기관국방부(부대)육군군수사령부민현미국가기관국방부(부대)육군군수사령부민현미사회적협동조합 푸른하늘국내업체정성대291-82-00107경기도 용인시 처인구 원삼면 백원로262번길46-0물품구매계약서국계령 제64조 제1항 1호 품목조정율
9522021UMM08980(216241-E)생도피복(가방)제조물품총액계약2단계경쟁(동시)단독계약2021-09-152021-09-15~2022-02-11384926106694160095836808<NA>국가기관국방부(부대)국군재정관리단권대희국가기관국방부(부대)국군재정관리단권대희주식회사 가방클럽국내업체오봉일127-86-31097경기도 포천시 작은넙고개길137-2 (내촌면)물품제조계약서국계령 제64조 제1항 1호 품목조정율
125632022LCG00040군 오수처리시설(직영관리) 피복 및 안전화 구매물품총액계약수의계약단독계약2022-01-242022-01-24~2022-01-28745800074580007816722제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)육군본부김성현국가기관국방부(부대)육군본부김성현다솔안전국내업체송봉우305-32-79228대전광역시 대덕구 대전로1064-0 (오정동)물품구매계약서국계령 제64조 제1항 1호 품목조정율
3402021LCH01030이동형 지휘체계 암호장비 구매물품총액계약수의계약단독계약2021-09-062021-09-06~2021-10-29136000001360000013600000제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)특수전사령부홍설의국가기관국방부(부대)특수전사령부홍설의주식회사 대영에스텍국내업체강원구314-81-24123대전광역시 유성구 국제과학3로23-0 (신동)물품구매계약서<NA>
61052021LCK01770’21-39차 계약(검문소 유도 및 차단장비 구매 납품)물품총액계약수의계약단독계약2021-11-222021-11-22~2021-12-21189552001895520018955200제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)수도방위사령부김성정국가기관국방부(부대)수도방위사령부김성정주성엠에스국내업체이선호111-43-65163경기도 파주시 파주읍 봉암길226물품구매계약서<NA>
65332021HDQ0377020비-21-505 병원혈압계물품총액계약수의계약단독계약2021-11-252021-11-25~2021-12-25122122012212201221220제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제20전투비행단없음국가기관국방부(부대)제20전투비행단없음주식회사 제이엠메디칼국내업체김정섭454-87-00023대전광역시 서구 유등로631 춘광빌딩 5층물품구매계약서<NA>
59292021P3300070사다리 항공기 탑승용(TA-50 Block2)물품총액계약일반경쟁단독계약2021-11-192021-11-19~2023-03-31251890000251890000293247235<NA>국가기관방위사업청항공기총괄계약팀강정훈국가기관방위사업청항공기총괄계약팀강정훈우주산업플랜트 주식회사국내업체최창식609-86-05878경상남도 창원시 의창구 봉강가술로537번길42-0 (대산면)물품구매계약서국계령 제64조 제1항 1호 품목조정율
17672021HDQ02790작전지휘소 유도탄체계용 1대 외주정비용역총액계약수의계약단독계약2021-09-302021-10-06~2021-12-07329450032945003294500제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)제20전투비행단없음국가기관국방부(부대)제20전투비행단없음엔에스웍스주식회사국내업체최일준117-81-79347세종특별자치시 한누리대로249, 609호(나성동, 에스제이타워)용역계약서<NA>
91722021LNG02690건-소-4-76호 마장리진지 급수펌프 설치납품물품총액계약수의계약단독계약2021-12-172021-12-17~2021-12-31550800055080005678760제26조제1항제5호 가목 2) 추정가격 2천만원이하(제조, 구매, 용역)국가기관국방부(부대)육군 제1군단황성보국가기관국방부(부대)육군 제1군단황성보새안이엔지 주식회사국내업체박병후319-81-00484경기도 파주시 파주읍 약수길14-0물품구매계약서국계령 제64조 제1항 1호 품목조정율
107622021LMP0087121년 음식물류 폐기물 처리용역 2차(2)용역단가계약제한경쟁단독계약2021-12-302021-10-21~2022-01-31431920004319200043390217<NA>국가기관국방부(부대)제1968부대김미리국가기관국방부(부대)제1968부대김미리녹원농장국내업체최동주231-90-00401강원도 철원군 갈말읍 두루미로691용역계약서국계령 제64조 제1항 1호 품목조정율