Overview

Dataset statistics

Number of variables5
Number of observations432
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.8 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description순서대로 나열한 번호 공통규격DB의 명칭 공통규격DB의 가장 마지막으로 고친 관리 항목의 일자 공통규격DB의 코드 공통규격DB의 평균별점
URLhttps://www.data.go.kr/data/15069427/fileData.do

Alerts

일련번호 is highly overall correlated with 최종수정일High correlation
최종수정일 is highly overall correlated with 일련번호High correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:35:09.830276
Analysis finished2023-12-12 19:35:10.396632
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct432
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean583.14583
Minimum81
Maximum968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-13T04:35:10.468373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile271.55
Q1405.75
median592.5
Q3769.25
95-th percentile902.45
Maximum968
Range887
Interquartile range (IQR)363.5

Descriptive statistics

Standard deviation213.15417
Coefficient of variation (CV)0.36552464
Kurtosis-0.85472849
Mean583.14583
Median Absolute Deviation (MAD)182
Skewness-0.16537928
Sum251919
Variance45434.7
MonotonicityStrictly increasing
2023-12-13T04:35:10.589842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 1
 
0.2%
694 1
 
0.2%
725 1
 
0.2%
724 1
 
0.2%
723 1
 
0.2%
722 1
 
0.2%
721 1
 
0.2%
700 1
 
0.2%
699 1
 
0.2%
698 1
 
0.2%
Other values (422) 422
97.7%
ValueCountFrequency (%)
81 1
0.2%
82 1
0.2%
83 1
0.2%
84 1
0.2%
85 1
0.2%
86 1
0.2%
87 1
0.2%
88 1
0.2%
91 1
0.2%
175 1
0.2%
ValueCountFrequency (%)
968 1
0.2%
967 1
0.2%
966 1
0.2%
965 1
0.2%
964 1
0.2%
963 1
0.2%
962 1
0.2%
961 1
0.2%
950 1
0.2%
949 1
0.2%

명칭
Text

Distinct374
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T04:35:10.866051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length65
Mean length32.671296
Min length5

Characters and Unicode

Total characters14114
Distinct characters441
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)83.6%

Sample

1st row의료기기 임상시험 관리 기준 가이드라인
2nd row의료기기 라벨링에 사용하는 기호 가이드라인
3rd row의료기기 제조자 제공 정보 가이드라인
4th row그래픽 기호 - 안전색 및 안전 표지 Part 1 : 안전 표지 및 안전 표시의 도안 원칙 가이드라인
5th row그래픽 기호 - 안전 색체와 안전표지 - 등록안전표지 가이드라인
ValueCountFrequency (%)
및 190
 
5.5%
의료기기 122
 
3.6%
119
 
3.5%
내시경 88
 
2.6%
의료용 81
 
2.4%
가이드라인 79
 
2.3%
시험 72
 
2.1%
방법 62
 
1.8%
대한 58
 
1.7%
위한 54
 
1.6%
Other values (1177) 2510
73.1%
2023-12-13T04:35:11.379645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3104
 
22.0%
기 711
 
5.0%
의 549
 
3.9%
료 335
 
2.4%
시 311
 
2.2%
용 262
 
1.9%
성 204
 
1.4%
및 191
 
1.4%
제 170
 
1.2%
한 169
 
1.2%
Other values (431) 8108
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9881
70.0%
Space Separator 3104
 
22.0%
Uppercase Letter 299
 
2.1%
Decimal Number 251
 
1.8%
Other Punctuation 190
 
1.3%
Dash Punctuation 175
 
1.2%
Lowercase Letter 108
 
0.8%
Open Punctuation 51
 
0.4%
Close Punctuation 51
 
0.4%
Connector Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 711
 
7.2%
의 549
 
5.6%
료 335
 
3.4%
시 311
 
3.1%
용 262
 
2.7%
성 204
 
2.1%
및 191
 
1.9%
제 170
 
1.7%
한 169
 
1.7%
가 169
 
1.7%
Other values (362) 6810
68.9%
Uppercase Letter
ValueCountFrequency (%)
I 43
14.4%
D 42
14.0%
E 26
8.7%
S 22
 
7.4%
A 21
 
7.0%
U 20
 
6.7%
R 19
 
6.4%
P 19
 
6.4%
F 17
 
5.7%
C 13
 
4.3%
Other values (13) 57
19.1%
Lowercase Letter
ValueCountFrequency (%)
a 25
23.1%
t 22
20.4%
r 20
18.5%
k 10
 
9.3%
s 6
 
5.6%
l 4
 
3.7%
u 3
 
2.8%
e 3
 
2.8%
i 3
 
2.8%
p 3
 
2.8%
Other values (7) 9
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 84
33.5%
1 67
26.7%
0 26
 
10.4%
5 18
 
7.2%
7 11
 
4.4%
6 11
 
4.4%
4 11
 
4.4%
3 10
 
4.0%
9 10
 
4.0%
8 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 76
40.0%
, 64
33.7%
. 25
 
13.2%
/ 13
 
6.8%
： 5
 
2.6%
？ 4
 
2.1%
· 2
 
1.1%
# 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 162
92.6%
－ 7
 
4.0%
― 6
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 50
98.0%
[ 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 50
98.0%
] 1
 
2.0%
Space Separator
ValueCountFrequency (%)
3104
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9881
70.0%
Common 3826
 
27.1%
Latin 407
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 711
 
7.2%
의 549
 
5.6%
료 335
 
3.4%
시 311
 
3.1%
용 262
 
2.7%
성 204
 
2.1%
및 191
 
1.9%
제 170
 
1.7%
한 169
 
1.7%
가 169
 
1.7%
Other values (362) 6810
68.9%
Latin
ValueCountFrequency (%)
I 43
 
10.6%
D 42
 
10.3%
E 26
 
6.4%
a 25
 
6.1%
S 22
 
5.4%
t 22
 
5.4%
A 21
 
5.2%
U 20
 
4.9%
r 20
 
4.9%
R 19
 
4.7%
Other values (30) 147
36.1%
Common
ValueCountFrequency (%)
3104
81.1%
- 162
 
4.2%
2 84
 
2.2%
: 76
 
2.0%
1 67
 
1.8%
, 64
 
1.7%
( 50
 
1.3%
) 50
 
1.3%
0 26
 
0.7%
. 25
 
0.7%
Other values (19) 118
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9881
70.0%
ASCII 4207
29.8%
None 18
 
0.1%
Punctuation 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3104
73.8%
- 162
 
3.9%
2 84
 
2.0%
: 76
 
1.8%
1 67
 
1.6%
, 64
 
1.5%
( 50
 
1.2%
) 50
 
1.2%
I 43
 
1.0%
D 42
 
1.0%
Other values (52) 465
 
11.1%
Hangul
ValueCountFrequency (%)
기 711
 
7.2%
의 549
 
5.6%
료 335
 
3.4%
시 311
 
3.1%
용 262
 
2.7%
성 204
 
2.1%
및 191
 
1.9%
제 170
 
1.7%
한 169
 
1.7%
가 169
 
1.7%
Other values (362) 6810
68.9%
None
ValueCountFrequency (%)
－ 7
38.9%
： 5
27.8%
？ 4
22.2%
· 2
 
11.1%
Punctuation
ValueCountFrequency (%)
― 6
75.0%
’ 1
 
12.5%
‘ 1
 
12.5%

최종수정일
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2014-12-15
66 
2018-12-05
54 
2013-01-25
53 
2014-12-25
40 
2016-12-24
29 
Other values (31)
190 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique12 ?
Unique (%)2.8%

Sample

1st row2013-01-18
2nd row2013-01-25
3rd row2013-01-25
4th row2013-01-25
5th row2013-01-25

Common Values

ValueCountFrequency (%)
2014-12-15 66
15.3%
2018-12-05 54
12.5%
2013-01-25 53
12.3%
2014-12-25 40
9.3%
2016-12-24 29
 
6.7%
2017-12-18 22
 
5.1%
2015-12-19 21
 
4.9%
2020-01-25 19
 
4.4%
2015-12-20 15
 
3.5%
2016-12-30 15
 
3.5%
Other values (26) 98
22.7%

Length

2023-12-13T04:35:11.622982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2014-12-15 66
15.3%
2018-12-05 54
12.5%
2013-01-25 53
12.3%
2014-12-25 40
9.3%
2016-12-24 29
 
6.7%
2017-12-18 22
 
5.1%
2015-12-19 21
 
4.9%
2020-01-25 19
 
4.4%
2016-12-30 15
 
3.5%
2015-12-20 15
 
3.5%
Other values (26) 98
22.7%

코드
Text

Distinct274
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-13T04:35:11.982205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length12.532407
Min length4

Characters and Unicode

Total characters5414
Distinct characters88
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

Unique259 ?
Unique (%)60.0%

Sample

1st rowISO14155
2nd rowEN980
3rd rowEN1041
4th rowISO3864-1
5th rowISO7010
ValueCountFrequency (%)
가이던스 83
 
10.7%
fda 73
 
9.4%
iso 62
 
8.0%
yy0068.2-2008 44
 
5.7%
iec 33
 
4.3%
guidance 30
 
3.9%
astm 21
 
2.7%
en 11
 
1.4%
및 9
 
1.2%
ed 8
 
1.0%
Other values (318) 402
51.8%
2023-12-13T04:35:12.574191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 587
 
10.8%
2 418
 
7.7%
1 413
 
7.6%
353
 
6.5%
- 230
 
4.2%
6 215
 
4.0%
I 180
 
3.3%
8 174
 
3.2%
S 155
 
2.9%
A 146
 
2.7%
Other values (78) 2543
47.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2301
42.5%
Uppercase Letter 1505
27.8%
Other Letter 422
 
7.8%
Space Separator 353
 
6.5%
Lowercase Letter 287
 
5.3%
Other Punctuation 256
 
4.7%
Dash Punctuation 234
 
4.3%
Close Punctuation 21
 
0.4%
Open Punctuation 21
 
0.4%
Connector Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 86
20.4%
이 86
20.4%
던 86
20.4%
스 86
20.4%
및 9
 
2.1%
규 9
 
2.1%
범 8
 
1.9%
법 8
 
1.9%
령 8
 
1.9%
지 5
 
1.2%
Other values (18) 31
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
I 180
12.0%
S 155
10.3%
A 146
9.7%
D 139
9.2%
E 128
8.5%
F 125
8.3%
Y 112
7.4%
T 96
 
6.4%
O 95
 
6.3%
M 89
 
5.9%
Other values (11) 240
15.9%
Lowercase Letter
ValueCountFrequency (%)
d 42
14.6%
e 39
13.6%
a 36
12.5%
u 33
11.5%
n 33
11.5%
i 32
11.1%
c 31
10.8%
g 9
 
3.1%
t 9
 
3.1%
l 7
 
2.4%
Other values (7) 16
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 587
25.5%
2 418
18.2%
1 413
17.9%
6 215
 
9.3%
8 174
 
7.6%
9 115
 
5.0%
4 112
 
4.9%
3 110
 
4.8%
7 79
 
3.4%
5 78
 
3.4%
Other Punctuation
ValueCountFrequency (%)
: 105
41.0%
. 92
35.9%
/ 47
18.4%
& 6
 
2.3%
; 6
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 230
98.3%
― 4
 
1.7%
Space Separator
ValueCountFrequency (%)
353
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3200
59.1%
Latin 1792
33.1%
Hangul 422
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 180
 
10.0%
S 155
 
8.6%
A 146
 
8.1%
D 139
 
7.8%
E 128
 
7.1%
F 125
 
7.0%
Y 112
 
6.2%
T 96
 
5.4%
O 95
 
5.3%
M 89
 
5.0%
Other values (28) 527
29.4%
Hangul
ValueCountFrequency (%)
가 86
20.4%
이 86
20.4%
던 86
20.4%
스 86
20.4%
및 9
 
2.1%
규 9
 
2.1%
범 8
 
1.9%
법 8
 
1.9%
령 8
 
1.9%
지 5
 
1.2%
Other values (18) 31
 
7.3%
Common
ValueCountFrequency (%)
0 587
18.3%
2 418
13.1%
1 413
12.9%
353
11.0%
- 230
 
7.2%
6 215
 
6.7%
8 174
 
5.4%
9 115
 
3.6%
4 112
 
3.5%
3 110
 
3.4%
Other values (12) 473
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4988
92.1%
Hangul 422
 
7.8%
Punctuation 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 587
 
11.8%
2 418
 
8.4%
1 413
 
8.3%
353
 
7.1%
- 230
 
4.6%
6 215
 
4.3%
I 180
 
3.6%
8 174
 
3.5%
S 155
 
3.1%
A 146
 
2.9%
Other values (49) 2117
42.4%
Hangul
ValueCountFrequency (%)
가 86
20.4%
이 86
20.4%
던 86
20.4%
스 86
20.4%
및 9
 
2.1%
규 9
 
2.1%
범 8
 
1.9%
법 8
 
1.9%
령 8
 
1.9%
지 5
 
1.2%
Other values (18) 31
 
7.3%
Punctuation
ValueCountFrequency (%)
― 4
100.0%

평균평점
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
170 
4
150 
5
69 
0
22 
3
20 

Length

Max length4
Median length1
Mean length2.1805556
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4
2nd row4
3rd row4
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
39.4%
4 150
34.7%
5 69
16.0%
0 22
 
5.1%
3 20
 
4.6%
1 1
 
0.2%

Length

2023-12-13T04:35:12.741830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:35:12.877873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
39.4%
4 150
34.7%
5 69
16.0%
0 22
 
5.1%
3 20
 
4.6%
1 1
 
0.2%

Interactions

2023-12-13T04:35:10.164928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:35:13.009231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호최종수정일평균평점
일련번호1.0000.9730.437
최종수정일0.9731.0000.460
평균평점0.4370.4601.000
2023-12-13T04:35:13.173486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최종수정일평균평점
최종수정일1.0000.205
평균평점0.2051.000
2023-12-13T04:35:13.321711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호최종수정일평균평점
일련번호1.0000.7980.268
최종수정일0.7981.0000.205
평균평점0.2680.2051.000

Missing values

2023-12-13T04:35:10.263916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:35:10.361042image/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

일련번호명칭최종수정일코드평균평점
081의료기기 임상시험 관리 기준 가이드라인2013-01-18ISO141554
182의료기기 라벨링에 사용하는 기호 가이드라인2013-01-25EN9804
283의료기기 제조자 제공 정보 가이드라인2013-01-25EN10414
384그래픽 기호 - 안전색 및 안전 표지 Part 1 : 안전 표지 및 안전 표시의 도안 원칙 가이드라인2013-01-25ISO3864-10
485그래픽 기호 - 안전 색체와 안전표지 - 등록안전표지 가이드라인2013-01-25ISO70100
586의료기기 - 의료기기 라벨, 라벨링 및 제공해야 할 정보에 사용하는 기호 Part 1. 일반 요구사항 가이드라인2013-01-25ISO15223-14
687멸균 의료기기의 포장 Part 1 : 재료, 환경, 포장 공정에 대한 요구사항 가이드라인2013-01-25ISO11607-14
788멸균 의료기기의 포장 Part 2 : 성형, 봉함 및 조립공정에 대한 검증요구사항 가이드라인2013-01-25ISO11607-25
891의료기기 안전 및 성능에 대한 필수원칙 가이드라인2013-01-25ISO161424
9175소형퓨즈 Part 1 : 정의 및 일반 요구사항 가이드라인2013-01-25IEC60127-10
일련번호명칭최종수정일코드평균평점
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423950의료기기 감독관리조례 중화인민공화국 국무원령 제276호2022-01-05NMPA 의료기기 감독 및 관리 규정<NA>
424961의료기기 제조업자를 위한 시판 후 감시2022-12-28ISO/TR 20416:2020<NA>
425962의료기기 제조업자의 제공 정보2022-12-28ISO 20417:2021<NA>
426963체외진단의료기기 - 인간 피험자의 표본을 사용한 임상적 성능 연구2022-12-28ISO 20916:2019<NA>
427964의료기기에 대한 사이버보안 지침2022-12-28MDCG 2019-16 rev.1<NA>
428965헬스 소프트웨어 및 헬스 IT 시스템의 안전성, 유효성 및 보안- 제5-1부_보안-제품 수명주기에서 활동2022-12-28IEC 81001-5-1:2021<NA>
429966헬스 소프트웨어 및 헬스 IT 시스템의 안전성, 유효성 및 보안 ？ 제1부_원리 및 개념2022-12-28IEC 81001-5-1:2021<NA>
430967체외진단 의료기기(IVD)에 대한 임상적 증거의 일반원리 지침2022-12-28MDCG 2022-2<NA>
431968이식 뇌-컴퓨터 인터페이스(BCI) 기기2022-12-28FDA Guidance<NA>