Overview

Dataset statistics

Number of variables11
Number of observations8559
Missing cells2388
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory744.0 KiB
Average record size in memory89.0 B

Variable types

DateTime1
Text4
Categorical5
Numeric1

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 군수품에 대한 조달계획 정보를 제공합니다.집행예정월,판단번호,대표품명,집행유형,계약방법 등이 수록됨(연락처 정보는 타 시스템 연계 정보로써 빈 값이나, 형식에 맞지 않은 값이 존재할 수 있습니다.)
Author방위사업청
URLhttps://www.data.go.kr/data/15050919/fileData.do

Alerts

집행기관 is highly overall correlated with 입찰방법High correlation
입찰방법 is highly overall correlated with 집행기관High correlation
집행유형 is highly imbalanced (64.2%)Imbalance
입찰방법 is highly imbalanced (59.4%)Imbalance
진행상태 is highly imbalanced (56.3%)Imbalance
예산금액 has 1518 (17.7%) missing valuesMissing
연락처 has 870 (10.2%) missing valuesMissing
예산금액 is highly skewed (γ1 = 27.0249931)Skewed

Reproduction

Analysis started2024-03-23 05:50:13.387165
Analysis finished2024-03-23 05:50:18.627072
Duration5.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집행예정일
Date

Distinct75
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
Minimum2017-02-01 00:00:00
Maximum2023-09-01 00:00:00
2024-03-23T05:50:19.087787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:50:19.515313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

판단번호
Text

Distinct3558
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2024-03-23T05:50:20.461341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters77031
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2046 ?
Unique (%)23.9%

Sample

1st row4A620
2nd row3031
3rd row2A53J
4th row5600A
5th row2013
ValueCountFrequency (%)
3002 16
 
0.2%
1031 15
 
0.2%
0003 14
 
0.2%
7008 14
 
0.2%
5000 14
 
0.2%
5142 14
 
0.2%
0022 14
 
0.2%
1100 14
 
0.2%
9110 13
 
0.2%
7007 13
 
0.2%
Other values (3548) 8418
98.4%
2024-03-23T05:50:22.008332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39399
51.1%
0 8672
 
11.3%
1 5414
 
7.0%
2 3566
 
4.6%
5 2974
 
3.9%
3 2893
 
3.8%
4 2586
 
3.4%
6 2064
 
2.7%
8 2053
 
2.7%
9 1763
 
2.3%
Other values (27) 5647
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Space Separator 39399
51.1%
Decimal Number 33744
43.8%
Uppercase Letter 3888
 
5.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1352
34.8%
B 519
 
13.3%
C 399
 
10.3%
D 344
 
8.8%
E 260
 
6.7%
F 219
 
5.6%
G 206
 
5.3%
J 151
 
3.9%
K 83
 
2.1%
M 81
 
2.1%
Other values (16) 274
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 8672
25.7%
1 5414
16.0%
2 3566
10.6%
5 2974
 
8.8%
3 2893
 
8.6%
4 2586
 
7.7%
6 2064
 
6.1%
8 2053
 
6.1%
9 1763
 
5.2%
7 1759
 
5.2%
Space Separator
ValueCountFrequency (%)
39399
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73143
95.0%
Latin 3888
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1352
34.8%
B 519
 
13.3%
C 399
 
10.3%
D 344
 
8.8%
E 260
 
6.7%
F 219
 
5.6%
G 206
 
5.3%
J 151
 
3.9%
K 83
 
2.1%
M 81
 
2.1%
Other values (16) 274
 
7.0%
Common
ValueCountFrequency (%)
39399
53.9%
0 8672
 
11.9%
1 5414
 
7.4%
2 3566
 
4.9%
5 2974
 
4.1%
3 2893
 
4.0%
4 2586
 
3.5%
6 2064
 
2.8%
8 2053
 
2.8%
9 1763
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39399
51.1%
0 8672
 
11.3%
1 5414
 
7.0%
2 3566
 
4.6%
5 2974
 
3.9%
3 2893
 
3.8%
4 2586
 
3.4%
6 2064
 
2.7%
8 2053
 
2.7%
9 1763
 
2.3%
Other values (27) 5647
 
7.3%

대표품명
Text

Distinct6171
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2024-03-23T05:50:22.902813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length41
Mean length37.285898
Min length30

Characters and Unicode

Total characters319130
Distinct characters679
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4756 ?
Unique (%)55.6%

Sample

1st row반합
2nd row개인화기주야조준경(II형) 전용 탄피받이
3rd row천마 응축기조립체 정비
4th row안경
5th row브레이크액
ValueCountFrequency (%)
22년 354
 
1.7%
및 329
 
1.6%
20년 273
 
1.3%
등 268
 
1.3%
23년 241
 
1.2%
19년 236
 
1.2%
21년 231
 
1.1%
조립체 218
 
1.1%
정비 210
 
1.0%
18년 205
 
1.0%
Other values (4590) 17757
87.4%
2024-03-23T05:50:24.229099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222975
69.9%
( 3836
 
1.2%
) 3835
 
1.2%
기 2407
 
0.8%
2 2363
 
0.7%
용 2236
 
0.7%
부 2207
 
0.7%
류 2094
 
0.7%
년 1848
 
0.6%
전 1836
 
0.6%
Other values (669) 73493
 
23.0%

Most occurring categories

ValueCountFrequency (%)
Space Separator 222976
69.9%
Other Letter 73340
 
23.0%
Decimal Number 8360
 
2.6%
Uppercase Letter 4621
 
1.4%
Open Punctuation 3839
 
1.2%
Close Punctuation 3838
 
1.2%
Dash Punctuation 1028
 
0.3%
Lowercase Letter 540
 
0.2%
Other Punctuation 382
 
0.1%
Math Symbol 77
 
< 0.1%
Other values (4) 129
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2407
 
3.3%
용 2236
 
3.0%
부 2207
 
3.0%
류 2094
 
2.9%
년 1848
 
2.5%
전 1836
 
2.5%
품 1761
 
2.4%
장 1562
 
2.1%
조 1560
 
2.1%
구 1482
 
2.0%
Other values (587) 54347
74.1%
Uppercase Letter
ValueCountFrequency (%)
K 1009
21.8%
A 413
 
8.9%
B 324
 
7.0%
I 322
 
7.0%
S 285
 
6.2%
C 283
 
6.1%
T 283
 
6.1%
P 247
 
5.3%
M 214
 
4.6%
F 167
 
3.6%
Other values (16) 1074
23.2%
Lowercase Letter
ValueCountFrequency (%)
m 201
37.2%
c 58
 
10.7%
k 52
 
9.6%
t 44
 
8.1%
a 43
 
8.0%
h 41
 
7.6%
l 24
 
4.4%
e 18
 
3.3%
w 16
 
3.0%
o 16
 
3.0%
Other values (11) 27
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 2363
28.3%
1 1737
20.8%
0 1150
13.8%
5 618
 
7.4%
3 611
 
7.3%
9 514
 
6.1%
8 440
 
5.3%
7 368
 
4.4%
6 302
 
3.6%
4 257
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 227
59.4%
. 82
 
21.5%
' 51
 
13.4%
· 11
 
2.9%
: 5
 
1.3%
／ 4
 
1.0%
2
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 30
62.5%
Ⅳ 9
 
18.8%
Ⅲ 6
 
12.5%
Ⅰ 3
 
6.2%
Math Symbol
ValueCountFrequency (%)
~ 75
97.4%
< 1
 
1.3%
> 1
 
1.3%
Space Separator
ValueCountFrequency (%)
222975
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3836
99.9%
[ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3835
99.9%
] 3
 
0.1%
Other Number
ValueCountFrequency (%)
¼ 29
67.4%
½ 14
32.6%
Dash Punctuation
ValueCountFrequency (%)
- 1028
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 37
100.0%
Other Symbol
ValueCountFrequency (%)
㎾ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240582
75.4%
Hangul 73340
 
23.0%
Latin 5208
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2407
 
3.3%
용 2236
 
3.0%
부 2207
 
3.0%
류 2094
 
2.9%
년 1848
 
2.5%
전 1836
 
2.5%
품 1761
 
2.4%
장 1562
 
2.1%
조 1560
 
2.1%
구 1482
 
2.0%
Other values (587) 54347
74.1%
Latin
ValueCountFrequency (%)
K 1009
19.4%
A 413
 
7.9%
B 324
 
6.2%
I 322
 
6.2%
S 285
 
5.5%
C 283
 
5.4%
T 283
 
5.4%
P 247
 
4.7%
M 214
 
4.1%
m 201
 
3.9%
Other values (40) 1627
31.2%
Common
ValueCountFrequency (%)
222975
92.7%
( 3836
 
1.6%
) 3835
 
1.6%
2 2363
 
1.0%
1 1737
 
0.7%
0 1150
 
0.5%
- 1028
 
0.4%
5 618
 
0.3%
3 611
 
0.3%
9 514
 
0.2%
Other values (22) 1915
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245679
77.0%
Hangul 73335
 
23.0%
None 61
 
< 0.1%
Number Forms 48
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222975
90.8%
( 3836
 
1.6%
) 3835
 
1.6%
2 2363
 
1.0%
1 1737
 
0.7%
0 1150
 
0.5%
- 1028
 
0.4%
K 1009
 
0.4%
5 618
 
0.3%
3 611
 
0.2%
Other values (60) 6517
 
2.7%
Hangul
ValueCountFrequency (%)
기 2407
 
3.3%
용 2236
 
3.0%
부 2207
 
3.0%
류 2094
 
2.9%
년 1848
 
2.5%
전 1836
 
2.5%
품 1761
 
2.4%
장 1562
 
2.1%
조 1560
 
2.1%
구 1482
 
2.0%
Other values (586) 54342
74.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 30
62.5%
Ⅳ 9
 
18.8%
Ⅲ 6
 
12.5%
Ⅰ 3
 
6.2%
None
ValueCountFrequency (%)
¼ 29
47.5%
½ 14
23.0%
· 11
 
18.0%
／ 4
 
6.6%
2
 
3.3%
　 1
 
1.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK Compat
ValueCountFrequency (%)
㎾ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

집행유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
제조
6795 
구매
1606 
제조/구매
 
147
공급
 
6
공사
 
5

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 6795
79.4%
구매 1606
 
18.8%
제조/구매 147
 
1.7%
공급 6
 
0.1%
공사 5
 
0.1%

Length

2024-03-23T05:50:24.816099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:50:25.296732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 6795
79.4%
구매 1606
 
18.8%
제조/구매 147
 
1.7%
공급 6
 
0.1%
공사 5
 
0.1%

계약방법
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
일반경쟁
3753 
수의계약
2210 
제한경쟁
1749 
일반경쟁
 
248
수의계약
 
193
Other values (6)
406 

Length

Max length11
Median length11
Mean length10.86003
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 3753
43.8%
수의계약 2210
25.8%
제한경쟁 1749
20.4%
일반경쟁 248
 
2.9%
수의계약 193
 
2.3%
제한경쟁 155
 
1.8%
2단계경쟁(동시) 89
 
1.0%
협상에의한계약(서류) 86
 
1.0%
지명경쟁 68
 
0.8%
협상에의한계약(전자) 5
 
0.1%

Length

2024-03-23T05:50:25.999996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반경쟁 4001
46.7%
수의계약 2403
28.1%
제한경쟁 1904
22.2%
2단계경쟁(동시 89
 
1.0%
협상에의한계약(서류 86
 
1.0%
지명경쟁 71
 
0.8%
협상에의한계약(전자 5
 
0.1%

집행기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
기반전력사업전력운영계약팀
2505 
미래전력사업전력운영계약팀
1091 
기동화력계약팀 (구:19.09.16)
962 
물자계약팀
632 
급식유류계약팀
623 
Other values (17)
2746 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물자계약팀
2nd row유도무기계약팀 (구:19.09.16)
3rd row유도무기계약팀 (구:19.09.16)
4th row급식유류계약팀
5th row급식유류계약팀

Common Values

ValueCountFrequency (%)
기반전력사업전력운영계약팀 2505
29.3%
미래전력사업전력운영계약팀 1091
12.7%
기동화력계약팀 (구:19.09.16) 962
 
11.2%
물자계약팀 632
 
7.4%
급식유류계약팀 623
 
7.3%
일반장비계약팀 (구:19.09.16) 559
 
6.5%
유도무기계약팀 (구:19.09.16) 492
 
5.7%
함정계약팀 (구:19.09.16) 285
 
3.3%
기동총괄계약팀 266
 
3.1%
통신장비계약팀 (구:19.09.16) 228
 
2.7%
Other values (12) 916
 
10.7%

Length

2024-03-23T05:50:26.921569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구:19.09.16 2883
25.2%
기반전력사업전력운영계약팀 2505
21.9%
미래전력사업전력운영계약팀 1091
 
9.5%
기동화력계약팀 962
 
8.4%
물자계약팀 632
 
5.5%
급식유류계약팀 623
 
5.4%
일반장비계약팀 559
 
4.9%
유도무기계약팀 492
 
4.3%
함정계약팀 285
 
2.5%
기동총괄계약팀 266
 
2.3%
Other values (13) 1144
 
10.0%

예산금액
Real number (ℝ)

MISSING  SKEWED 

Distinct6994
Distinct (%)99.3%
Missing1518
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.7166568 × 109
Minimum0
Maximum1.024442 × 1012
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size75.4 KiB
2024-03-23T05:50:27.695591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6426027
Q154208320
median2.4293735 × 108
Q39.5272575 × 108
95-th percentile6.4959283 × 109
Maximum1.024442 × 1012
Range1.024442 × 1012
Interquartile range (IQR)8.9851743 × 108

Descriptive statistics

Standard deviation2.7357642 × 1010
Coefficient of variation (CV)10.070334
Kurtosis846.68314
Mean2.7166568 × 109
Median Absolute Deviation (MAD)2.2439184 × 108
Skewness27.024993
Sum1.9127981 × 1013
Variance7.4844058 × 1020
MonotonicityNot monotonic
2024-03-23T05:50:28.620508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66555770.0 3
 
< 0.1%
1227762240.0 3
 
< 0.1%
1370440980.0 2
 
< 0.1%
144195000.0 2
 
< 0.1%
818740760.0 2
 
< 0.1%
31470000.0 2
 
< 0.1%
380000000.0 2
 
< 0.1%
93202500.0 2
 
< 0.1%
18000000000.0 2
 
< 0.1%
2800000000.0 2
 
< 0.1%
Other values (6984) 7019
82.0%
(Missing) 1518
 
17.7%
ValueCountFrequency (%)
0.0 2
< 0.1%
2479.0 1
< 0.1%
5976.0 1
< 0.1%
7830.0 1
< 0.1%
13583.0 1
< 0.1%
75100.0 1
< 0.1%
90200.0 1
< 0.1%
97100.0 1
< 0.1%
99417.0 1
< 0.1%
104449.98 1
< 0.1%
ValueCountFrequency (%)
1024442000000.0 1
< 0.1%
1000580000000.0 1
< 0.1%
809964000000.0 1
< 0.1%
805973350000.0 1
< 0.1%
698775000000.0 1
< 0.1%
550815557000.0 1
< 0.1%
508200000000.0 1
< 0.1%
303276249230.0 1
< 0.1%
267697000000.0 1
< 0.1%
267167550000.0 1
< 0.1%

입찰방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
총액제
7866 
단가제
 
693

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액제 7866
91.9%
단가제 693
 
8.1%

Length

2024-03-23T05:50:29.527144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:50:29.999727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액제 7866
91.9%
단가제 693
 
8.1%

진행상태
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
계약완료
5556 
계약완료
1029 
조달판단중
705 
공고중
 
309
조달불가
 
259
Other values (16)
701 

Length

Max length14
Median length14
Mean length13.299568
Min length9

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
계약완료 5556
64.9%
계약완료 1029
 
12.0%
조달판단중 705
 
8.2%
공고중 309
 
3.6%
조달불가 259
 
3.0%
조달판단완료 225
 
2.6%
원가계산중 193
 
2.3%
계약해지/해제 77
 
0.9%
조달판단중 55
 
0.6%
원가계산중 33
 
0.4%
Other values (11) 118
 
1.4%

Length

2024-03-23T05:50:30.515605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계약완료 6585
76.9%
조달판단중 760
 
8.9%
공고중 337
 
3.9%
조달불가 259
 
3.0%
조달판단완료 255
 
3.0%
원가계산중 226
 
2.6%
계약해지/해제 100
 
1.2%
계약준비중(낙찰단가처리중 15
 
0.2%
공고의뢰중 9
 
0.1%
수의협상 5
 
0.1%
Other values (5) 13
 
0.2%

담당자명
Text

Distinct296
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2024-03-23T05:50:31.578201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters77031
Distinct characters158
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.3%

Sample

1st row이영민
2nd row신철우
3rd row이수열
4th row최지연
5th row이영식
ValueCountFrequency (%)
김창호 177
 
2.1%
이지원 158
 
1.8%
김효진 148
 
1.7%
김만근 125
 
1.5%
신명섭 124
 
1.4%
민동철 120
 
1.4%
이정은 113
 
1.3%
신만용 112
 
1.3%
전찬삼 110
 
1.3%
임주하 105
 
1.2%
Other values (286) 7267
84.9%
2024-03-23T05:50:32.949605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51441
66.8%
김 2086
 
2.7%
이 1654
 
2.1%
영 899
 
1.2%
현 731
 
0.9%
민 583
 
0.8%
정 566
 
0.7%
진 556
 
0.7%
박 512
 
0.7%
주 512
 
0.7%
Other values (148) 17491
 
22.7%

Most occurring categories

ValueCountFrequency (%)
Space Separator 51441
66.8%
Other Letter 25590
33.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2086
 
8.2%
이 1654
 
6.5%
영 899
 
3.5%
현 731
 
2.9%
민 583
 
2.3%
정 566
 
2.2%
진 556
 
2.2%
박 512
 
2.0%
주 512
 
2.0%
경 471
 
1.8%
Other values (147) 17020
66.5%
Space Separator
ValueCountFrequency (%)
51441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51441
66.8%
Hangul 25590
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2086
 
8.2%
이 1654
 
6.5%
영 899
 
3.5%
현 731
 
2.9%
민 583
 
2.3%
정 566
 
2.2%
진 556
 
2.2%
박 512
 
2.0%
주 512
 
2.0%
경 471
 
1.8%
Other values (147) 17020
66.5%
Common
ValueCountFrequency (%)
51441
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51441
66.8%
Hangul 25590
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51441
100.0%
Hangul
ValueCountFrequency (%)
김 2086
 
8.2%
이 1654
 
6.5%
영 899
 
3.5%
현 731
 
2.9%
민 583
 
2.3%
정 566
 
2.2%
진 556
 
2.2%
박 512
 
2.0%
주 512
 
2.0%
경 471
 
1.8%
Other values (147) 17020
66.5%

연락처
Text

MISSING 

Distinct244
Distinct (%)3.2%
Missing870
Missing (%)10.2%
Memory size67.0 KiB
2024-03-23T05:50:33.791180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters92268
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

Unique20 ?
Unique (%)0.3%

Sample

1st row02-2079-4834
2nd row02-2079-5442
3rd row02-2079-5209
4th row02-2079-4531
5th row02-2079-5995
ValueCountFrequency (%)
02-2079-4727 242
 
3.1%
02-2079-4948 158
 
2.1%
02-2079-4617 148
 
1.9%
02-2079-4735 140
 
1.8%
02-2079-4732 137
 
1.8%
02-2079-4713 136
 
1.8%
02-2079-4728 134
 
1.7%
02-2079-6738 125
 
1.6%
02-2079-4041 124
 
1.6%
02-2079-5362 120
 
1.6%
Other values (234) 6225
81.0%
2024-03-23T05:50:35.286524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 17872
19.4%
0 16519
17.9%
- 15378
16.7%
7 10881
11.8%
9 9049
9.8%
4 7824
8.5%
5 4508
 
4.9%
6 2953
 
3.2%
3 2772
 
3.0%
8 2257
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76890
83.3%
Dash Punctuation 15378
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17872
23.2%
0 16519
21.5%
7 10881
14.2%
9 9049
11.8%
4 7824
10.2%
5 4508
 
5.9%
6 2953
 
3.8%
3 2772
 
3.6%
8 2257
 
2.9%
1 2255
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 15378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 17872
19.4%
0 16519
17.9%
- 15378
16.7%
7 10881
11.8%
9 9049
9.8%
4 7824
8.5%
5 4508
 
4.9%
6 2953
 
3.2%
3 2772
 
3.0%
8 2257
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 17872
19.4%
0 16519
17.9%
- 15378
16.7%
7 10881
11.8%
9 9049
9.8%
4 7824
8.5%
5 4508
 
4.9%
6 2953
 
3.2%
3 2772
 
3.0%
8 2257
 
2.4%

Interactions

2024-03-23T05:50:16.673592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:50:35.719101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집행예정일집행유형계약방법집행기관예산금액입찰방법진행상태
집행예정일1.0000.2820.7070.7910.3040.4650.707
집행유형0.2821.0000.1160.4250.1250.1380.163
계약방법0.7070.1161.0000.5950.2700.1980.567
집행기관0.7910.4250.5951.0000.3580.9310.414
예산금액0.3040.1250.2700.3581.0000.0000.000
입찰방법0.4650.1380.1980.9310.0001.0000.158
진행상태0.7070.1630.5670.4140.0000.1581.000
2024-03-23T05:50:36.079350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법집행유형집행기관입찰방법진행상태
계약방법1.0000.0640.2200.1890.239
집행유형0.0641.0000.2260.1680.080
집행기관0.2200.2261.0000.8050.125
입찰방법0.1890.1680.8051.0000.138
진행상태0.2390.0800.1250.1381.000
2024-03-23T05:50:36.403761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산금액집행유형계약방법집행기관입찰방법진행상태
예산금액1.0000.0770.1300.1540.0000.000
집행유형0.0771.0000.0640.2260.1680.080
계약방법0.1300.0641.0000.2200.1890.239
집행기관0.1540.2260.2201.0000.8050.125
입찰방법0.0000.1680.1890.8051.0000.138
진행상태0.0000.0800.2390.1250.1381.000

Missing values

2024-03-23T05:50:17.227133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:50:17.966957image/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.
2024-03-23T05:50:18.422370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

집행예정일판단번호대표품명집행유형계약방법집행기관예산금액입찰방법진행상태담당자명연락처
02017-024A620반합제조일반경쟁물자계약팀313714170.0총액제계약완료이영민02-2079-4834
12017-023031개인화기주야조준경(II형) 전용 탄피받이제조제한경쟁유도무기계약팀 (구:19.09.16)85278129.0총액제계약완료신철우02-2079-5442
22017-022A53J천마 응축기조립체 정비제조일반경쟁유도무기계약팀 (구:19.09.16)1129675749.0총액제계약완료이수열02-2079-5209
32017-025600A안경제조일반경쟁급식유류계약팀168187140.0단가제계약완료최지연02-2079-4531
42017-022013브레이크액제조제한경쟁급식유류계약팀58001108.0총액제계약완료이영식02-2079-5995
52017-025610안경 방독면(K1)용제조일반경쟁급식유류계약팀874424320.0단가제계약완료최지연02-2079-4531
62017-026520보온식관제조일반경쟁물자계약팀232633623.0총액제계약완료이영민02-2079-4834
72017-022553J'17년 천마 응축기 조립체 정비제조일반경쟁유도무기계약팀 (구:19.09.16)<NA>총액제계약완료이수열02-2079-5209
82017-030970ALSF-Ⅱ 엔진 감속기어제조일반경쟁함정계약팀 (구:19.09.16)1588000000.0총액제계약완료송인환02-2079-6873
92017-034820격막구매수의계약함정계약팀 (구:19.09.16)6320196.0총액제계약완료송인환02-2079-6873
집행예정일판단번호대표품명집행유형계약방법집행기관예산금액입찰방법진행상태담당자명연락처
85492023-090235저항기 조립체 등 3종제조수의계약기반전력사업전력운영계약팀153144984.0총액제계약완료김영관02-2079-4722
85502023-090672압축기-건조기 전자장비용제조일반경쟁기반전력사업전력운영계약팀36189225.0총액제계약완료김봄시내02-2079-4746
85512023-091440A표준차 유지부품구매제한경쟁기반전력사업전력운영계약팀<NA>총액제조달판단중김대수02-2079-4715
85522023-091120GK10 탄약운반차량 유지용 부품류제조일반경쟁기반전력사업전력운영계약팀473320374.0총액제계약완료조동현02-2079-5685
85532023-098C03H23년 방탄복(방탄판 포함) 군사경찰특수임무용구매제한경쟁미래전력사업전력운영계약팀<NA>총액제조달판단중육종민02-2079-4036
85542023-090300G수신레이돔구매일반경쟁미래전력사업전력운영계약팀365250600.0총액제계약완료김상희<NA>
85552023-095532R23년 105밀리 공포탄 파라핀지환통제조수의계약기반전력사업전력운영계약팀15300000.0총액제계약완료전찬삼02-2079-4735
85562023-097553H23년 모의충격신관제조일반경쟁화력총괄계약팀396880000.0총액제계약완료김나연02-2079-4177
85572023-090080잭박스제조수의계약기반전력사업전력운영계약팀11775440.0총액제계약완료김봄시내02-2079-4746
85582023-091440표준차 유지부품구매일반경쟁기반전력사업전력운영계약팀3505568728.0총액제계약완료김대수02-2079-4715