Overview

Dataset statistics

Number of variables9
Number of observations129
Missing cells6
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory74.0 B

Variable types

Numeric1
Text3
Categorical5

Dataset

Description민간 및 군수에서 쓰이는 부품과 다양한 기술에 대해 규격화 사업을 진행한 현황을 정리한 자료로서 부품국산화 및 표준규격 구축에 기여하고 있음
Author국방기술품질원
URLhttps://www.data.go.kr/data/3058151/fileData.do

Alerts

연구보고서 공개범위 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
연구시작일 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
주관연구기관 is highly overall correlated with 연구보고서 공개범위High correlation
연구종료일 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
진행_종료 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 is highly overall correlated with 진행_종료 and 3 other fieldsHigh correlation
진행_종료 is highly imbalanced (72.9%)Imbalance
연구보고서 공개범위 is highly imbalanced (72.9%)Imbalance
연구보고서명 has 6 (4.7%) missing valuesMissing
순번 has unique valuesUnique
연구보고서 번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:13:51.427290
Analysis finished2023-12-12 08:13:52.858695
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T17:13:52.980262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-12T17:13:53.172853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

과제명
Text

Distinct121
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:13:53.520510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length32
Mean length24.883721
Min length13

Characters and Unicode

Total characters3210
Distinct characters199
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)88.4%

Sample

1st row국내_외 규격조사 분석 Ⅰ
2nd row기계요소류 규격통일화 연구 Ⅰ
3rd row비무기체계 표준품목의 상용전환 연구 Ⅰ
4th row통전장비 및 부품류 환경시험 조건분석 및 규격통일 연구Ⅰ
5th row수공구류 규격 통일화 연구 Ⅰ
ValueCountFrequency (%)
연구 87
 
10.5%
및 66
 
7.9%
ⅱ 25
 
3.0%
표준화 25
 
3.0%
ⅰ 23
 
2.8%
ⅲ 18
 
2.2%
군수품 16
 
1.9%
규격 15
 
1.8%
민군 14
 
1.7%
규격통일화 13
 
1.6%
Other values (192) 529
63.7%
2023-12-12T17:13:53.992643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
22.1%
구 116
 
3.6%
규 97
 
3.0%
격 97
 
3.0%
연 91
 
2.8%
화 85
 
2.6%
및 66
 
2.1%
준 66
 
2.1%
방 65
 
2.0%
통 63
 
2.0%
Other values (189) 1755
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2290
71.3%
Space Separator 709
 
22.1%
Letter Number 86
 
2.7%
Uppercase Letter 73
 
2.3%
Lowercase Letter 13
 
0.4%
Connector Punctuation 11
 
0.3%
Open Punctuation 10
 
0.3%
Close Punctuation 10
 
0.3%
Other Punctuation 6
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 116
 
5.1%
규 97
 
4.2%
격 97
 
4.2%
연 91
 
4.0%
화 85
 
3.7%
및 66
 
2.9%
준 66
 
2.9%
방 65
 
2.8%
통 63
 
2.8%
표 54
 
2.4%
Other values (153) 1490
65.1%
Uppercase Letter
ValueCountFrequency (%)
S 18
24.7%
K 12
16.4%
I 11
15.1%
D 7
 
9.6%
E 6
 
8.2%
L 4
 
5.5%
M 3
 
4.1%
A 2
 
2.7%
P 2
 
2.7%
B 2
 
2.7%
Other values (4) 6
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
e 2
15.4%
t 2
15.4%
n 2
15.4%
m 1
 
7.7%
r 1
 
7.7%
s 1
 
7.7%
g 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 25
29.1%
Ⅰ 24
27.9%
Ⅲ 18
20.9%
Ⅳ 11
12.8%
Ⅴ 7
 
8.1%
Ⅵ 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
709
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2290
71.3%
Common 748
 
23.3%
Latin 172
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 116
 
5.1%
규 97
 
4.2%
격 97
 
4.2%
연 91
 
4.0%
화 85
 
3.7%
및 66
 
2.9%
준 66
 
2.9%
방 65
 
2.8%
통 63
 
2.8%
표 54
 
2.4%
Other values (153) 1490
65.1%
Latin
ValueCountFrequency (%)
Ⅱ 25
14.5%
Ⅰ 24
14.0%
Ⅲ 18
10.5%
S 18
10.5%
K 12
 
7.0%
I 11
 
6.4%
Ⅳ 11
 
6.4%
Ⅴ 7
 
4.1%
D 7
 
4.1%
E 6
 
3.5%
Other values (18) 33
19.2%
Common
ValueCountFrequency (%)
709
94.8%
_ 11
 
1.5%
( 10
 
1.3%
) 10
 
1.3%
, 5
 
0.7%
3 1
 
0.1%
~ 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2290
71.3%
ASCII 834
 
26.0%
Number Forms 86
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
709
85.0%
S 18
 
2.2%
K 12
 
1.4%
_ 11
 
1.3%
I 11
 
1.3%
( 10
 
1.2%
) 10
 
1.2%
D 7
 
0.8%
E 6
 
0.7%
, 5
 
0.6%
Other values (20) 35
 
4.2%
Hangul
ValueCountFrequency (%)
구 116
 
5.1%
규 97
 
4.2%
격 97
 
4.2%
연 91
 
4.0%
화 85
 
3.7%
및 66
 
2.9%
준 66
 
2.9%
방 65
 
2.8%
통 63
 
2.8%
표 54
 
2.4%
Other values (153) 1490
65.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 25
29.1%
Ⅰ 24
27.9%
Ⅲ 18
20.9%
Ⅳ 11
12.8%
Ⅴ 7
 
8.1%
Ⅵ 1
 
1.2%

주관연구기관
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
국방기술품질원
12 
한국항공우주연구원
10 
한국기계연구원
10 
한국조달연구원
9 
국방품질관리소
 
8
Other values (27)
80 

Length

Max length14
Median length13
Mean length7.496124
Min length5

Unique

Unique9 ?
Unique (%)7.0%

Sample

1st row국방품질관리소
2nd row한국항공우주연구원
3rd row한국국방연구원
4th row전자부품연구원
5th row한국기계연구원

Common Values

ValueCountFrequency (%)
국방기술품질원 12
 
9.3%
한국항공우주연구원 10
 
7.8%
한국기계연구원 10
 
7.8%
한국조달연구원 9
 
7.0%
국방품질관리소 8
 
6.2%
국방대학교 8
 
6.2%
한국국방연구원 7
 
5.4%
전자부품연구원 7
 
5.4%
한국화학시험연구원 7
 
5.4%
한국세라믹기술원 6
 
4.7%
Other values (22) 45
34.9%

Length

2023-12-12T17:13:54.147948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국방기술품질원 12
 
9.0%
한국기계연구원 10
 
7.5%
한국항공우주연구원 10
 
7.5%
한국조달연구원 9
 
6.8%
국방대학교 9
 
6.8%
국방품질관리소 8
 
6.0%
한국국방연구원 7
 
5.3%
전자부품연구원 7
 
5.3%
한국화학시험연구원 7
 
5.3%
한국세라믹기술원 6
 
4.5%
Other values (23) 48
36.1%

진행_종료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
종료
123 
진행
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종료 123
95.3%
진행 6
 
4.7%

Length

2023-12-12T17:13:54.277196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:54.380601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종료 123
95.3%
진행 6
 
4.7%

연구시작일
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2013-09-01
10 
2001-08-01
9 
2009-09-01
 
8
2014-09-01
 
8
2000-08-01
 
8
Other values (25)
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)7.0%

Sample

1st row1999-08-01
2nd row1999-08-01
3rd row1999-08-01
4th row1999-08-01
5th row1999-08-01

Common Values

ValueCountFrequency (%)
2013-09-01 10
 
7.8%
2001-08-01 9
 
7.0%
2009-09-01 8
 
6.2%
2014-09-01 8
 
6.2%
2000-08-01 8
 
6.2%
2010-11-01 7
 
5.4%
2002-08-01 7
 
5.4%
1999-08-01 7
 
5.4%
2012-09-01 7
 
5.4%
2008-09-01 7
 
5.4%
Other values (20) 51
39.5%

Length

2023-12-12T17:13:54.524782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-09-01 10
 
7.8%
2001-08-01 9
 
7.0%
2009-09-01 8
 
6.2%
2014-09-01 8
 
6.2%
2000-08-01 8
 
6.2%
1999-08-01 7
 
5.4%
2008-09-01 7
 
5.4%
2012-09-01 7
 
5.4%
2002-08-01 7
 
5.4%
2010-11-01 7
 
5.4%
Other values (20) 51
39.5%

연구종료일
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2002-07-31
9 
2014-08-31
9 
2009-08-31
 
8
2010-08-31
 
8
2011-08-31
 
8
Other values (19)
87 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row2000-07-31
2nd row2000-07-31
3rd row2000-07-31
4th row2000-07-31
5th row2000-07-31

Common Values

ValueCountFrequency (%)
2002-07-31 9
 
7.0%
2014-08-31 9
 
7.0%
2009-08-31 8
 
6.2%
2010-08-31 8
 
6.2%
2011-08-31 8
 
6.2%
2001-06-30 8
 
6.2%
2000-07-31 7
 
5.4%
2003-07-31 7
 
5.4%
2008-08-31 7
 
5.4%
2015-08-31 6
 
4.7%
Other values (14) 52
40.3%

Length

2023-12-12T17:13:54.668193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2002-07-31 9
 
7.0%
2014-08-31 9
 
7.0%
2009-08-31 8
 
6.2%
2010-08-31 8
 
6.2%
2011-08-31 8
 
6.2%
2001-06-30 8
 
6.2%
2000-07-31 7
 
5.4%
2003-07-31 7
 
5.4%
2008-08-31 7
 
5.4%
2004-07-31 6
 
4.7%
Other values (14) 52
40.3%

연구보고서 번호
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:13:54.983788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.503876
Min length12

Characters and Unicode

Total characters1742
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st rowDQAA-00-544-R
2nd rowDQAA-00-539-R
3rd rowDQAA-00-542-R
4th rowDQAA-00-541-R
5th rowDQAA-00-545-R
ValueCountFrequency (%)
dqaa-00-544-r 1
 
0.8%
dtaq-09-2023-p 1
 
0.8%
dtaq-13-3698-p 1
 
0.8%
dtaq-13-3697-p 1
 
0.8%
dtaq-13-3696-p 1
 
0.8%
dtaq-13-3695-p 1
 
0.8%
dtaq-13-3694-p 1
 
0.8%
dtaq-12-3343-p 1
 
0.8%
dtaq-12-3342-p 1
 
0.8%
dtaq-12-3341-p 1
 
0.8%
Other values (119) 119
92.2%
2023-12-12T17:13:55.506858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 387
22.2%
0 139
 
8.0%
D 129
 
7.4%
1 129
 
7.4%
Q 111
 
6.4%
A 107
 
6.1%
2 92
 
5.3%
4 83
 
4.8%
R 75
 
4.3%
T 68
 
3.9%
Other values (12) 422
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 707
40.6%
Uppercase Letter 598
34.3%
Dash Punctuation 387
22.2%
Lowercase Letter 47
 
2.7%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
19.7%
1 129
18.2%
2 92
13.0%
4 83
11.7%
3 60
8.5%
7 48
 
6.8%
5 44
 
6.2%
6 39
 
5.5%
8 37
 
5.2%
9 36
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 129
21.6%
Q 111
18.6%
A 107
17.9%
R 75
12.5%
T 68
11.4%
P 36
 
6.0%
U 36
 
6.0%
N 18
 
3.0%
I 18
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 387
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 47
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1097
63.0%
Latin 645
37.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 387
35.3%
0 139
 
12.7%
1 129
 
11.8%
2 92
 
8.4%
4 83
 
7.6%
3 60
 
5.5%
7 48
 
4.4%
5 44
 
4.0%
6 39
 
3.6%
8 37
 
3.4%
Other values (2) 39
 
3.6%
Latin
ValueCountFrequency (%)
D 129
20.0%
Q 111
17.2%
A 107
16.6%
R 75
11.6%
T 68
10.5%
a 47
 
7.3%
P 36
 
5.6%
U 36
 
5.6%
N 18
 
2.8%
I 18
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 387
22.2%
0 139
 
8.0%
D 129
 
7.4%
1 129
 
7.4%
Q 111
 
6.4%
A 107
 
6.1%
2 92
 
5.3%
4 83
 
4.8%
R 75
 
4.3%
T 68
 
3.9%
Other values (12) 422
24.2%

연구보고서명
Text

MISSING 

Distinct118
Distinct (%)95.9%
Missing6
Missing (%)4.7%
Memory size1.1 KiB
2023-12-12T17:13:55.917047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length31
Mean length24.658537
Min length13

Characters and Unicode

Total characters3033
Distinct characters183
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)95.1%

Sample

1st row국내_외 규격조사 분석 Ⅰ
2nd row기계요소류 규격통일화 연구 Ⅰ
3rd row비무기체계 표준품목의 상용전환 연구
4th row통전장비 및 부품류 환경시험 조건분석 및 규격통일 연구Ⅰ
5th row수공구류 규격 통일화 연구 Ⅰ
ValueCountFrequency (%)
연구 82
 
10.3%
및 63
 
7.9%
ⅱ 29
 
3.7%
ⅰ 29
 
3.7%
표준화 22
 
2.8%
ⅲ 18
 
2.3%
군수품 14
 
1.8%
규격 14
 
1.8%
민군 14
 
1.8%
규격통일화 13
 
1.6%
Other values (174) 496
62.5%
2023-12-12T17:13:56.475911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
22.2%
구 107
 
3.5%
규 94
 
3.1%
격 94
 
3.1%
연 85
 
2.8%
화 77
 
2.5%
및 63
 
2.1%
통 62
 
2.0%
방 62
 
2.0%
준 61
 
2.0%
Other values (173) 1655
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2160
71.2%
Space Separator 673
 
22.2%
Letter Number 95
 
3.1%
Uppercase Letter 68
 
2.2%
Open Punctuation 11
 
0.4%
Close Punctuation 11
 
0.4%
Connector Punctuation 8
 
0.3%
Other Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 107
 
5.0%
규 94
 
4.4%
격 94
 
4.4%
연 85
 
3.9%
화 77
 
3.6%
및 63
 
2.9%
통 62
 
2.9%
방 62
 
2.9%
준 61
 
2.8%
표 50
 
2.3%
Other values (148) 1405
65.0%
Uppercase Letter
ValueCountFrequency (%)
S 17
25.0%
K 12
17.6%
I 11
16.2%
D 7
10.3%
E 6
 
8.8%
L 4
 
5.9%
A 2
 
2.9%
T 2
 
2.9%
M 2
 
2.9%
B 2
 
2.9%
Other values (2) 3
 
4.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 31
32.6%
Ⅱ 29
30.5%
Ⅲ 19
20.0%
Ⅳ 10
 
10.5%
Ⅴ 6
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
673
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2160
71.2%
Common 710
 
23.4%
Latin 163
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 107
 
5.0%
규 94
 
4.4%
격 94
 
4.4%
연 85
 
3.9%
화 77
 
3.6%
및 63
 
2.9%
통 62
 
2.9%
방 62
 
2.9%
준 61
 
2.8%
표 50
 
2.3%
Other values (148) 1405
65.0%
Latin
ValueCountFrequency (%)
Ⅰ 31
19.0%
Ⅱ 29
17.8%
Ⅲ 19
11.7%
S 17
10.4%
K 12
 
7.4%
I 11
 
6.7%
Ⅳ 10
 
6.1%
D 7
 
4.3%
E 6
 
3.7%
Ⅴ 6
 
3.7%
Other values (7) 15
9.2%
Common
ValueCountFrequency (%)
673
94.8%
( 11
 
1.5%
) 11
 
1.5%
_ 8
 
1.1%
, 3
 
0.4%
~ 2
 
0.3%
3 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2159
71.2%
ASCII 778
 
25.7%
Number Forms 95
 
3.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
86.5%
S 17
 
2.2%
K 12
 
1.5%
I 11
 
1.4%
( 11
 
1.4%
) 11
 
1.4%
_ 8
 
1.0%
D 7
 
0.9%
E 6
 
0.8%
L 4
 
0.5%
Other values (10) 18
 
2.3%
Hangul
ValueCountFrequency (%)
구 107
 
5.0%
규 94
 
4.4%
격 94
 
4.4%
연 85
 
3.9%
화 77
 
3.6%
및 63
 
2.9%
통 62
 
2.9%
방 62
 
2.9%
준 61
 
2.8%
표 50
 
2.3%
Other values (147) 1404
65.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 31
32.6%
Ⅱ 29
30.5%
Ⅲ 19
20.0%
Ⅳ 10
 
10.5%
Ⅴ 6
 
6.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

연구보고서 공개범위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
국방망, 인터넷
123 
<NA>
 
6

Length

Max length8
Median length8
Mean length7.8139535
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방망, 인터넷
2nd row국방망, 인터넷
3rd row국방망, 인터넷
4th row국방망, 인터넷
5th row국방망, 인터넷

Common Values

ValueCountFrequency (%)
국방망, 인터넷 123
95.3%
<NA> 6
 
4.7%

Length

2023-12-12T17:13:56.643865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:56.776156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방망 123
48.8%
인터넷 123
48.8%
na 6
 
2.4%

Interactions

2023-12-12T17:13:52.056093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:13:56.840255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주관연구기관진행_종료연구시작일연구종료일
순번1.0000.7520.7920.9890.979
주관연구기관0.7521.0000.6870.6640.730
진행_종료0.7920.6871.0000.9901.000
연구시작일0.9890.6640.9901.0000.996
연구종료일0.9790.7301.0000.9961.000
2023-12-12T17:13:56.950145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구보고서 공개범위연구시작일주관연구기관연구종료일진행_종료
연구보고서 공개범위1.0001.0001.0001.0001.000
연구시작일1.0001.0000.1920.8890.814
주관연구기관1.0000.1921.0000.2370.485
연구종료일1.0000.8890.2371.0000.909
진행_종료1.0000.8140.4850.9091.000
2023-12-12T17:13:57.089187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주관연구기관진행_종료연구시작일연구종료일연구보고서 공개범위
순번1.0000.3470.6060.7520.8201.000
주관연구기관0.3471.0000.4850.1920.2371.000
진행_종료0.6060.4851.0000.8140.9091.000
연구시작일0.7520.1920.8141.0000.8891.000
연구종료일0.8200.2370.9090.8891.0001.000
연구보고서 공개범위1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T17:13:52.589368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:13:52.773209image/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

순번과제명주관연구기관진행_종료연구시작일연구종료일연구보고서 번호연구보고서명연구보고서 공개범위
01국내_외 규격조사 분석 Ⅰ국방품질관리소종료1999-08-012000-07-31DQAA-00-544-R국내_외 규격조사 분석 Ⅰ국방망, 인터넷
12기계요소류 규격통일화 연구 Ⅰ한국항공우주연구원종료1999-08-012000-07-31DQAA-00-539-R기계요소류 규격통일화 연구 Ⅰ국방망, 인터넷
23비무기체계 표준품목의 상용전환 연구 Ⅰ한국국방연구원종료1999-08-012000-07-31DQAA-00-542-R비무기체계 표준품목의 상용전환 연구국방망, 인터넷
34통전장비 및 부품류 환경시험 조건분석 및 규격통일 연구Ⅰ전자부품연구원종료1999-08-012000-07-31DQAA-00-541-R통전장비 및 부품류 환경시험 조건분석 및 규격통일 연구Ⅰ국방망, 인터넷
45수공구류 규격 통일화 연구 Ⅰ한국기계연구원종료1999-08-012000-07-31DQAA-00-545-R수공구류 규격 통일화 연구 Ⅰ국방망, 인터넷
56부자재류 규격통일화 연구 Ⅰ한국의류시험연구원종료1999-08-012000-07-31DQAA-00-540-R부자재류 규격통일화 연구 Ⅰ국방망, 인터넷
67건전지류 규격통일화 연구국방품질관리소종료1999-08-012000-07-31DQAA-00-543-R건전지류 규격통일화 연구국방망, 인터넷
78국내_외 규격조사 분석 Ⅱ국방품질관리소종료2000-08-012001-06-30DQAA-01-640-R국내_외 규격조사 분석 Ⅱ국방망, 인터넷
89기계요소류 규격통일화 연구 Ⅱ한국항공우주연구원종료2000-08-012001-06-30DQAA-01-641-R기계요소류 규격통일화 연구 Ⅱ국방망, 인터넷
910비무기체계 표준품목의 상용전환 연구 Ⅱ한국국방연구원종료2000-08-012001-06-30DQAA-01-645-R비무기체계 표준품목의 상용전환 연구국방망, 인터넷
순번과제명주관연구기관진행_종료연구시작일연구종료일연구보고서 번호연구보고서명연구보고서 공개범위
119120국방도면의 원_부자재 규격현실화 연구 및 후속조치국방기술품질원종료2016-09-012017-08-3116-DU-UNI-05국방도면의 원_부자재 규격현실화 연구 및 후속조치(Ⅰ~Ⅲ)국방망, 인터넷
120121방_투습 원단, 내의류 및 부자재류 규격 현실화를 위한 민군규격 표준화 연구FITI시험연구원종료2015-09-012017-08-3116-DU-UNI-06방_투습 원단, 내의류 및 부자재류 규격 현실화를 위한 민군규격 표준화 연구국방망, 인터넷
121122군수품 부품류 규격화 가이드 및 표준지침 연구한국기계전기전자시험연구원진행2016-09-012021-08-3116-DU-UNI-07<NA><NA>
122123국방표준서 체계정립을 통한 기술자료의 효율적 관리방안 연구한국방위사업연구원종료2013-09-012018-08-3116-DU-UNI-03국방표준서 체계정립을 통한 기술자료의 효율적 관리방안 연구 (Ⅱ)국방망, 인터넷
123124국방도면의 원_부자재 규격현실화 연구 및 후속조치국방기술품질원종료2014-09-012018-08-3117-DU-UNI-02국방도면의 원ㆍ부자재 규격현실화 연구 및 후속조치국방망, 인터넷
124125군수품 상용화 개조, 개발을 통한 구매요구서 최신화(제,개정)연구국방기술품질원진행2017-09-012020-08-3117-DU-UNI-04<NA><NA>
125126석유제품 및 윤활제 규격 현실화를 위한 민군규격 표준화 연구한국석유관리원진행2017-12-222022-12-2117-DU-UNI-05<NA><NA>
126127방_투습 원단의 내구성 시험방법 및 품질기준 표준화 연구FITI시험연구원진행2018-07-252020-12-3118-DU-UNI-05<NA><NA>
127128민수_군수분야 전기전자부품 공용화를 위한 Parts Management 방안 연구국방기술품질원진행2018-12-242020-12-3118-DU-UNI-04<NA><NA>
128129GPS시스템의 항재밍 성능평가 표준화 연구한국전자파연구소(주)진행2019-06-112021-12-3119-DU-UNI-01<NA><NA>