Overview

Dataset statistics

Number of variables7
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text3
DateTime2
Categorical1

Dataset

Description방위사업청 주관 국방 관련 연구개발사업 수행 과정에서 식별된 특허 현황 - 제공정보 : 특허에 대한 발명의명칭, 출원번호, 출원일자, 등록번호, 등록일자 등 제공
URLhttps://www.data.go.kr/data/15118690/fileData.do

Alerts

상태 has constant value ""Constant
연번 has unique valuesUnique
출원번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:18:27.762300
Analysis finished2023-12-12 14:18:28.630183
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.8
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T23:18:28.717659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q121.75
median41.5
Q362.25
95-th percentile78.05
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.664533
Coefficient of variation (CV)0.56613716
Kurtosis-1.1996343
Mean41.8
Median Absolute Deviation (MAD)20.5
Skewness0.013910281
Sum3344
Variance560.01013
MonotonicityStrictly increasing
2023-12-12T23:18:28.867435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
43 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
11 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
Distinct77
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:18:29.252656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length234
Median length86.5
Mean length68.125
Min length7

Characters and Unicode

Total characters5450
Distinct characters292
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)93.8%

Sample

1st row이중곡률반경 형성체 리브를 가지는 항공기 타이어(Aircraft Tire with shapped Double Radius of RIB)
2nd row숄더그루브 깊이를 축소시킨 소형 항공기 타이어(Small-sized Aircraft Tire With Reduced Depth of Shoulder Groove)
3rd row방독면(GAS-MASK)
4th row방독면(GAS-MASK)
5th row방독면(GAS-MASK)
ValueCountFrequency (%)
for 36
 
3.8%
33
 
3.5%
and 25
 
2.7%
method 24
 
2.5%
of 17
 
1.8%
system 16
 
1.7%
시스템 15
 
1.6%
시뮬레이션 14
 
1.5%
위한 13
 
1.4%
simulation 12
 
1.3%
Other values (482) 737
78.2%
2023-12-12T23:18:29.872420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
863
 
15.8%
e 169
 
3.1%
a 150
 
2.8%
t 149
 
2.7%
i 146
 
2.7%
E 134
 
2.5%
n 131
 
2.4%
r 129
 
2.4%
o 125
 
2.3%
A 114
 
2.1%
Other values (282) 3340
61.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1634
30.0%
Other Letter 1498
27.5%
Uppercase Letter 1306
24.0%
Space Separator 863
15.8%
Open Punctuation 60
 
1.1%
Close Punctuation 60
 
1.1%
Other Punctuation 19
 
0.3%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
4.3%
56
 
3.7%
45
 
3.0%
43
 
2.9%
40
 
2.7%
36
 
2.4%
35
 
2.3%
33
 
2.2%
28
 
1.9%
28
 
1.9%
Other values (227) 1089
72.7%
Uppercase Letter
ValueCountFrequency (%)
E 134
 
10.3%
A 114
 
8.7%
T 110
 
8.4%
M 107
 
8.2%
I 100
 
7.7%
O 93
 
7.1%
R 80
 
6.1%
N 77
 
5.9%
S 73
 
5.6%
F 58
 
4.4%
Other values (15) 360
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 169
10.3%
a 150
 
9.2%
t 149
 
9.1%
i 146
 
8.9%
n 131
 
8.0%
r 129
 
7.9%
o 125
 
7.6%
s 89
 
5.4%
m 76
 
4.7%
l 66
 
4.0%
Other values (14) 404
24.7%
Other Punctuation
ValueCountFrequency (%)
, 15
78.9%
' 4
 
21.1%
Space Separator
ValueCountFrequency (%)
863
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2940
53.9%
Hangul 1498
27.5%
Common 1012
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
4.3%
56
 
3.7%
45
 
3.0%
43
 
2.9%
40
 
2.7%
36
 
2.4%
35
 
2.3%
33
 
2.2%
28
 
1.9%
28
 
1.9%
Other values (227) 1089
72.7%
Latin
ValueCountFrequency (%)
e 169
 
5.7%
a 150
 
5.1%
t 149
 
5.1%
i 146
 
5.0%
E 134
 
4.6%
n 131
 
4.5%
r 129
 
4.4%
o 125
 
4.3%
A 114
 
3.9%
T 110
 
3.7%
Other values (39) 1583
53.8%
Common
ValueCountFrequency (%)
863
85.3%
( 60
 
5.9%
) 60
 
5.9%
, 15
 
1.5%
- 10
 
1.0%
' 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3952
72.5%
Hangul 1498
 
27.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
863
21.8%
e 169
 
4.3%
a 150
 
3.8%
t 149
 
3.8%
i 146
 
3.7%
E 134
 
3.4%
n 131
 
3.3%
r 129
 
3.3%
o 125
 
3.2%
A 114
 
2.9%
Other values (45) 1842
46.6%
Hangul
ValueCountFrequency (%)
65
 
4.3%
56
 
3.7%
45
 
3.0%
43
 
2.9%
40
 
2.7%
36
 
2.4%
35
 
2.3%
33
 
2.2%
28
 
1.9%
28
 
1.9%
Other values (227) 1089
72.7%

출원번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:18:30.086612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.975
Min length13

Characters and Unicode

Total characters1198
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

Unique80 ?
Unique (%)100.0%

Sample

1st row10-2004-0048382
2nd row10-2004-0048381
3rd row10-2012-0133170
4th row10-2012-0133138
5th row10-2012-0149789
ValueCountFrequency (%)
10-2004-0048382 1
 
1.2%
10-2004-0048381 1
 
1.2%
10-2018-0152498 1
 
1.2%
10-2019-0016390 1
 
1.2%
10-2018-0072577 1
 
1.2%
10-2018-0071388 1
 
1.2%
10-2018-0071443 1
 
1.2%
10-2017-0124358 1
 
1.2%
10-2017-0124364 1
 
1.2%
1020180152726 1
 
1.2%
Other values (70) 70
87.5%
2023-12-12T23:18:30.493181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 310
25.9%
1 253
21.1%
- 158
13.2%
2 133
11.1%
3 66
 
5.5%
4 53
 
4.4%
9 53
 
4.4%
6 50
 
4.2%
5 43
 
3.6%
7 40
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
86.8%
Dash Punctuation 158
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 310
29.8%
1 253
24.3%
2 133
12.8%
3 66
 
6.3%
4 53
 
5.1%
9 53
 
5.1%
6 50
 
4.8%
5 43
 
4.1%
7 40
 
3.8%
8 39
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 310
25.9%
1 253
21.1%
- 158
13.2%
2 133
11.1%
3 66
 
5.5%
4 53
 
4.4%
9 53
 
4.4%
6 50
 
4.2%
5 43
 
3.6%
7 40
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 310
25.9%
1 253
21.1%
- 158
13.2%
2 133
11.1%
3 66
 
5.5%
4 53
 
4.4%
9 53
 
4.4%
6 50
 
4.2%
5 43
 
3.6%
7 40
 
3.3%
Distinct64
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2004-06-25 00:00:00
Maximum2020-11-27 00:00:00
2023-12-12T23:18:30.638831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:30.816717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:18:31.084101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.2125
Min length9

Characters and Unicode

Total characters977
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

Unique80 ?
Unique (%)100.0%

Sample

1st row1005132410000
2nd row1005346670000
3rd row1012783860000
4th row1012784360000
5th row1012929030000
ValueCountFrequency (%)
1005132410000 1
 
1.2%
1005346670000 1
 
1.2%
1020033160000 1
 
1.2%
1019964090000 1
 
1.2%
1019880360000 1
 
1.2%
1019366830000 1
 
1.2%
1019366930000 1
 
1.2%
1019261100000 1
 
1.2%
1019261070000 1
 
1.2%
1020094830000 1
 
1.2%
Other values (70) 70
87.5%
2023-12-12T23:18:31.506392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 370
37.9%
1 200
20.5%
3 57
 
5.8%
2 54
 
5.5%
5 52
 
5.3%
6 50
 
5.1%
7 49
 
5.0%
9 47
 
4.8%
4 46
 
4.7%
8 35
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
98.3%
Dash Punctuation 17
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 370
38.5%
1 200
20.8%
3 57
 
5.9%
2 54
 
5.6%
5 52
 
5.4%
6 50
 
5.2%
7 49
 
5.1%
9 47
 
4.9%
4 46
 
4.8%
8 35
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 977
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 370
37.9%
1 200
20.5%
3 57
 
5.8%
2 54
 
5.5%
5 52
 
5.3%
6 50
 
5.1%
7 49
 
5.0%
9 47
 
4.8%
4 46
 
4.7%
8 35
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 370
37.9%
1 200
20.5%
3 57
 
5.8%
2 54
 
5.5%
5 52
 
5.3%
6 50
 
5.1%
7 49
 
5.0%
9 47
 
4.8%
4 46
 
4.7%
8 35
 
3.6%
Distinct72
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2005-08-31 00:00:00
Maximum2021-07-30 00:00:00
2023-12-12T23:18:31.661256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:31.841689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
등록
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록 80
100.0%

Length

2023-12-12T23:18:31.969736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:18:32.076878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 80
100.0%

Interactions

2023-12-12T23:18:28.339333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:18:32.153887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발명의명칭출원번호출원일자등록번호등록일자
연번1.0001.0001.0000.9701.0000.964
발명의명칭1.0001.0001.0000.9931.0000.994
출원번호1.0001.0001.0001.0001.0001.000
출원일자0.9700.9931.0001.0001.0000.999
등록번호1.0001.0001.0001.0001.0001.000
등록일자0.9640.9941.0000.9991.0001.000

Missing values

2023-12-12T23:18:28.470152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:18:28.583652image/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

연번발명의명칭출원번호출원일자등록번호등록일자상태
01이중곡률반경 형성체 리브를 가지는 항공기 타이어(Aircraft Tire with shapped Double Radius of RIB)10-2004-00483822004-06-2510051324100002005-08-31등록
12숄더그루브 깊이를 축소시킨 소형 항공기 타이어(Small-sized Aircraft Tire With Reduced Depth of Shoulder Groove)10-2004-00483812004-06-2510053466700002005-12-01등록
24방독면(GAS-MASK)10-2012-01331702012-11-2210127838600002013-06-18등록
35방독면(GAS-MASK)10-2012-01331382012-11-2210127843600002013-06-18등록
46방독면(GAS-MASK)10-2012-01497892012-12-2010129290300002013-07-29등록
57능동 배열 안테나의 성능 검증 시스템 및 방법(System and method for simulating performance of active array antenna)10-2012-01336312012-11-2310133730000002013-11-29등록
68훈련용 유도탄 포드(loading guided missiles pod for training)10-2012-01238272012-11-0210137200500002014-02-28등록
79KUH를 위한 비행시뮬레이터 및 그 제어방법(Flight Simulator for KUH and Controlling Method)10-2013-00059152013-01-1810139226600002014-04-29등록
810전술훈련을 위한 충격조끼(Impact vest for tactical training)10-2013-01493562013-12-0310139339000002014-05-02등록
911전술훈련을 위한 충격조끼(Impact vest for tactical training)10-2014-00250112014-03-0310140546600002014-06-02등록
연번발명의명칭출원번호출원일자등록번호등록일자상태
7073헬리콥터 비행성 해석 시스템 및 그 해석 방법10-2011-00751362011-07-2810-13332052013-11-20등록
7174항공용 니보드10-2011-00918682011-09-0910-12961852013-08-07등록
7275회전익 항공기에 장착되는 구성품의 설계 환경 조건을 설정하는 방법 및 이를 이용한 프로그램을 기록한 컴퓨터로 판독가능한 기록 매체10-2011-00929572011-09-1510-13101962013-09-12등록
7376주의 경고 패널의 소형화 및 저 전력화 방법10-2011-01039912011-10-1210-12862312013-07-09등록
7477항공기 공조장치용 소음기10-2011-01165112011-11-0910-12988142013-08-14등록
7578회전체의 센서 데이터를 계측하여 전송하는 방법10-2012-00461792012-05-0210-12741712013-06-05등록
7679비행시험 데이터를 이용한 HQS 모델링과 튜닝을 위한 장치 및 그 제어방법10-2013-00286872013-03-1810-14830932015-01-09등록
7780탄약통 고정 장치10-2013-00595892013-05-2710-14311112014-08-11등록
7881헬리콥터의 카고훅 하중시현시스템 및 그 제어방법10-2013-00914472013-08-0110-15011362015-03-04등록
7982하중 보정 기능이 구비된 헬리콥터의 카고훅 하중시현 시스템 및 그 제어 방법10-2013-00914482013-08-0110-14928312015-02-04등록