Overview

Dataset statistics

Number of variables4
Number of observations54
Missing cells3
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text3

Dataset

Description국방기술품질원 전자도서관이 보유한 기술정보자료 관련 학술지 구독 목록입니다. 자료명, 출판사,ISSN이 포함되어 있습니다.
Author국방기술품질원
URLhttps://www.data.go.kr/data/15052694/fileData.do

Alerts

등록번호(ISSN ) has 3 (5.6%) missing valuesMissing
순번 has unique valuesUnique
자료명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:09:18.009720
Analysis finished2023-12-12 20:09:18.509378
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T05:09:18.605111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-13T05:09:18.749881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

자료명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T05:09:18.990569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length15.037037
Min length4

Characters and Unicode

Total characters812
Distinct characters127
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st rowAIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
2nd rowARMY AVIATION
3rd rowAVIATION WEEK & SPACE TECHNOLOGY
4th rowC4ISR JOURNAL_FORMERLY_ISR JOURNAL
5th rowDEFENSE NEWS International
ValueCountFrequency (%)
journal 7
 
5.6%
5
 
4.0%
월간 5
 
4.0%
engineering 4
 
3.2%
and 4
 
3.2%
defense 4
 
3.2%
technology 3
 
2.4%
evaluation 2
 
1.6%
safety 2
 
1.6%
of 2
 
1.6%
Other values (80) 86
69.4%
2023-12-13T05:09:19.381587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
9.0%
E 59
 
7.3%
A 51
 
6.3%
N 45
 
5.5%
I 39
 
4.8%
R 33
 
4.1%
L 28
 
3.4%
T 24
 
3.0%
O 24
 
3.0%
S 22
 
2.7%
Other values (117) 414
51.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 462
56.9%
Other Letter 131
 
16.1%
Lowercase Letter 127
 
15.6%
Space Separator 73
 
9.0%
Other Punctuation 6
 
0.7%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Dash Punctuation 2
 
0.2%
Connector Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8
 
6.1%
술 6
 
4.6%
월 6
 
4.6%
간 5
 
3.8%
리 5
 
3.8%
과 5
 
3.8%
사 4
 
3.1%
전 3
 
2.3%
학 3
 
2.3%
이 3
 
2.3%
Other values (62) 83
63.4%
Uppercase Letter
ValueCountFrequency (%)
E 59
12.8%
A 51
11.0%
N 45
 
9.7%
I 39
 
8.4%
R 33
 
7.1%
L 28
 
6.1%
T 24
 
5.2%
O 24
 
5.2%
S 22
 
4.8%
C 17
 
3.7%
Other values (15) 120
26.0%
Lowercase Letter
ValueCountFrequency (%)
n 16
12.6%
a 14
11.0%
e 12
 
9.4%
o 10
 
7.9%
r 10
 
7.9%
i 8
 
6.3%
t 8
 
6.3%
u 7
 
5.5%
l 6
 
4.7%
c 6
 
4.7%
Other values (11) 30
23.6%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
: 1
 
16.7%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 589
72.5%
Hangul 121
 
14.9%
Common 92
 
11.3%
Han 9
 
1.1%
Hiragana 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8
 
6.6%
술 6
 
5.0%
월 6
 
5.0%
간 5
 
4.1%
리 5
 
4.1%
과 5
 
4.1%
사 4
 
3.3%
전 3
 
2.5%
학 3
 
2.5%
이 3
 
2.5%
Other values (54) 73
60.3%
Latin
ValueCountFrequency (%)
E 59
 
10.0%
A 51
 
8.7%
N 45
 
7.6%
I 39
 
6.6%
R 33
 
5.6%
L 28
 
4.8%
T 24
 
4.1%
O 24
 
4.1%
S 22
 
3.7%
C 17
 
2.9%
Other values (36) 247
41.9%
Common
ValueCountFrequency (%)
73
79.3%
( 4
 
4.3%
) 4
 
4.3%
& 3
 
3.3%
. 2
 
2.2%
- 2
 
2.2%
_ 2
 
2.2%
: 1
 
1.1%
4 1
 
1.1%
Han
ValueCountFrequency (%)
界 2
22.2%
世 2
22.2%
舊 1
11.1%
軍 1
11.1%
事 1
11.1%
艦 1
11.1%
船 1
11.1%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681
83.9%
Hangul 121
 
14.9%
CJK 9
 
1.1%
Hiragana 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
 
10.7%
E 59
 
8.7%
A 51
 
7.5%
N 45
 
6.6%
I 39
 
5.7%
R 33
 
4.8%
L 28
 
4.1%
T 24
 
3.5%
O 24
 
3.5%
S 22
 
3.2%
Other values (45) 283
41.6%
Hangul
ValueCountFrequency (%)
기 8
 
6.6%
술 6
 
5.0%
월 6
 
5.0%
간 5
 
4.1%
리 5
 
4.1%
과 5
 
4.1%
사 4
 
3.3%
전 3
 
2.5%
학 3
 
2.5%
이 3
 
2.5%
Other values (54) 73
60.3%
CJK
ValueCountFrequency (%)
界 2
22.2%
世 2
22.2%
舊 1
11.1%
軍 1
11.1%
事 1
11.1%
艦 1
11.1%
船 1
11.1%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

출판사
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T05:09:19.650885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length13.537037
Min length2

Characters and Unicode

Total characters731
Distinct characters157
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)85.2%

Sample

1st rowEMERALD GROUP PUBLISHING LTD
2nd rowARMY AVIATION ASSN OF AMERICA
3rd rowMCGRAW HILL PUBLISHING CO INC
4th rowGANNETT GOVERNMENT MEDIA
5th rowGANNETT GOVERNMENT MEDIA
ValueCountFrequency (%)
amer 4
 
3.7%
4
 
3.7%
soc 3
 
2.8%
ltd 3
 
2.8%
group 3
 
2.8%
testing 2
 
1.8%
publishing 2
 
1.8%
government 2
 
1.8%
society 2
 
1.8%
gannett 2
 
1.8%
Other values (76) 82
75.2%
2023-12-13T05:09:20.025719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
7.8%
E 51
 
7.0%
A 48
 
6.6%
I 40
 
5.5%
S 37
 
5.1%
N 36
 
4.9%
R 35
 
4.8%
T 32
 
4.4%
L 27
 
3.7%
C 26
 
3.6%
Other values (147) 342
46.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 469
64.2%
Other Letter 185
 
25.3%
Space Separator 57
 
7.8%
Lowercase Letter 11
 
1.5%
Other Punctuation 4
 
0.5%
Other Symbol 2
 
0.3%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 7
 
3.8%
사 6
 
3.2%
국 6
 
3.2%
한 6
 
3.2%
술 5
 
2.7%
보 5
 
2.7%
단 4
 
2.2%
업 3
 
1.6%
회 3
 
1.6%
정 3
 
1.6%
Other values (107) 137
74.1%
Uppercase Letter
ValueCountFrequency (%)
E 51
10.9%
A 48
10.2%
I 40
 
8.5%
S 37
 
7.9%
N 36
 
7.7%
R 35
 
7.5%
T 32
 
6.8%
L 27
 
5.8%
C 26
 
5.5%
O 24
 
5.1%
Other values (14) 113
24.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
s 1
9.1%
n 1
9.1%
o 1
9.1%
t 1
9.1%
a 1
9.1%
c 1
9.1%
l 1
9.1%
b 1
9.1%
u 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 480
65.7%
Hangul 163
 
22.3%
Common 64
 
8.8%
Han 24
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 7
 
4.3%
사 6
 
3.7%
국 6
 
3.7%
한 6
 
3.7%
술 5
 
3.1%
보 5
 
3.1%
단 4
 
2.5%
업 3
 
1.8%
회 3
 
1.8%
정 3
 
1.8%
Other values (86) 115
70.6%
Latin
ValueCountFrequency (%)
E 51
10.6%
A 48
 
10.0%
I 40
 
8.3%
S 37
 
7.7%
N 36
 
7.5%
R 35
 
7.3%
T 32
 
6.7%
L 27
 
5.6%
C 26
 
5.4%
O 24
 
5.0%
Other values (24) 124
25.8%
Han
ValueCountFrequency (%)
軍 2
 
8.3%
社 2
 
8.3%
月 1
 
4.2%
空 1
 
4.2%
航 1
 
4.2%
刊 1
 
4.2%
硏 1
 
4.2%
會 1
 
4.2%
興 1
 
4.2%
人 1
 
4.2%
Other values (12) 12
50.0%
Common
ValueCountFrequency (%)
57
89.1%
& 4
 
6.2%
- 1
 
1.6%
1 1
 
1.6%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 544
74.4%
Hangul 161
 
22.0%
CJK 24
 
3.3%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
 
10.5%
E 51
 
9.4%
A 48
 
8.8%
I 40
 
7.4%
S 37
 
6.8%
N 36
 
6.6%
R 35
 
6.4%
T 32
 
5.9%
L 27
 
5.0%
C 26
 
4.8%
Other values (29) 155
28.5%
Hangul
ValueCountFrequency (%)
기 7
 
4.3%
사 6
 
3.7%
국 6
 
3.7%
한 6
 
3.7%
술 5
 
3.1%
보 5
 
3.1%
단 4
 
2.5%
업 3
 
1.9%
회 3
 
1.9%
정 3
 
1.9%
Other values (85) 113
70.2%
CJK
ValueCountFrequency (%)
軍 2
 
8.3%
社 2
 
8.3%
月 1
 
4.2%
空 1
 
4.2%
航 1
 
4.2%
刊 1
 
4.2%
硏 1
 
4.2%
會 1
 
4.2%
興 1
 
4.2%
人 1
 
4.2%
Other values (12) 12
50.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

등록번호(ISSN )
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing3
Missing (%)5.6%
Memory size564.0 B
2023-12-13T05:09:20.235269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters459
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row1748-8842
2nd row0004-248X
3rd row0005-2175
4th row1941-1286
5th row0884-139X
ValueCountFrequency (%)
1748-8842 1
 
2.0%
1227-0148 1
 
2.0%
1228-3010 1
 
2.0%
1228-2065 1
 
2.0%
1976-7269 1
 
2.0%
1227-1705 1
 
2.0%
1739-5496 1
 
2.0%
1738-9410 1
 
2.0%
1976-9032 1
 
2.0%
1739-5852 1
 
2.0%
Other values (41) 41
80.4%
2023-12-13T05:09:20.610658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 74
16.1%
2 71
15.5%
- 51
11.1%
0 50
10.9%
3 39
8.5%
7 34
7.4%
8 32
7.0%
4 30
6.5%
5 30
6.5%
9 23
 
5.0%
Other values (3) 25
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
87.4%
Dash Punctuation 51
 
11.1%
Uppercase Letter 6
 
1.3%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 74
18.5%
2 71
17.7%
0 50
12.5%
3 39
9.7%
7 34
8.5%
8 32
8.0%
4 30
7.5%
5 30
7.5%
9 23
 
5.7%
6 18
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
98.5%
Latin 7
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 74
16.4%
2 71
15.7%
- 51
11.3%
0 50
11.1%
3 39
8.6%
7 34
7.5%
8 32
7.1%
4 30
6.6%
5 30
6.6%
9 23
 
5.1%
Latin
ValueCountFrequency (%)
X 6
85.7%
x 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 74
16.1%
2 71
15.5%
- 51
11.1%
0 50
10.9%
3 39
8.5%
7 34
7.4%
8 32
7.0%
4 30
6.5%
5 30
6.5%
9 23
 
5.0%
Other values (3) 25
 
5.4%

Interactions

2023-12-13T05:09:18.258163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:09:20.727850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번자료명출판사등록번호(ISSN )
순번1.0001.0000.9701.000
자료명1.0001.0001.0001.000
출판사0.9701.0001.0001.000
등록번호(ISSN )1.0001.0001.0001.000

Missing values

2023-12-13T05:09:18.375717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:09:18.464798image/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

순번자료명출판사등록번호(ISSN )
01AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGYEMERALD GROUP PUBLISHING LTD1748-8842
12ARMY AVIATIONARMY AVIATION ASSN OF AMERICA0004-248X
23AVIATION WEEK & SPACE TECHNOLOGYMCGRAW HILL PUBLISHING CO INC0005-2175
34C4ISR JOURNAL_FORMERLY_ISR JOURNALGANNETT GOVERNMENT MEDIA1941-1286
45DEFENSE NEWS InternationalGANNETT GOVERNMENT MEDIA0884-139X
56MATERIALS EVALUATIONAMER SOC NONDESTRUCT TESTING0025-5327
67MECHANICAL ENGINEERINGAMER SOC MECHANICAL ENGINEERS0025-6501
78MILITARY TECHNOLOGYMOENCH VERLAGSGESELLSCHAFT MBH0722-3226
89RELIABILITY ENGINEERING AND SYSTEM SAFETYELSEVIER0951-8320
910SAFETY AND RELIABILITYTAYLOR & FRANCIS GROUP0961-7353
순번자료명출판사등록번호(ISSN )
4445월간 MFG (舊. Manufacturing)㈜기술정보2234-5728
4546CAD & Graphics캐드앤그래픽1228-6133
4647전기기술전기기술문화사1227-111x
4748전자과학전파과학사1227-0113
4849전자기술첨단1227-1101
4950임베디드월드㈜테크월드1975-4353
5051B : brand documentary magazine제이오에이치2234-411X
5152이달의 신기술한국산업기술평가관리원2288-1144
5253식품저널식품저널1228-5838
5354Popular science서울경제신문1288-9833