Overview

Dataset statistics

Number of variables5
Number of observations2185
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.7 KiB
Average record size in memory42.1 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description한국의료기기안전정보원 개별규격DB 관리의 일련번호 한국의료기기안전정보원 개별규격DB 관리의 명칭 한국의료기기안전정보원 개별규격DB 관리의 코드
URLhttps://www.data.go.kr/data/15069456/fileData.do

Alerts

일련번호 has unique valuesUnique
평균별점 has 1920 (87.9%) zerosZeros

Reproduction

Analysis started2023-12-12 06:52:31.460730
Analysis finished2023-12-12 06:52:32.442535
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct2185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1830.5039
Minimum66
Maximum3062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T15:52:32.532970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile249.2
Q11258
median1876
Q32435
95-th percentile2919.8
Maximum3062
Range2996
Interquartile range (IQR)1177

Descriptive statistics

Standard deviation742.14596
Coefficient of variation (CV)0.4054326
Kurtosis-0.63924424
Mean1830.5039
Median Absolute Deviation (MAD)589
Skewness-0.33907199
Sum3999651
Variance550780.62
MonotonicityNot monotonic
2023-12-12T15:52:32.679191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
838 1
 
< 0.1%
2197 1
 
< 0.1%
2191 1
 
< 0.1%
2192 1
 
< 0.1%
2193 1
 
< 0.1%
2194 1
 
< 0.1%
2195 1
 
< 0.1%
2196 1
 
< 0.1%
2204 1
 
< 0.1%
2478 1
 
< 0.1%
Other values (2175) 2175
99.5%
ValueCountFrequency (%)
66 1
< 0.1%
124 1
< 0.1%
125 1
< 0.1%
128 1
< 0.1%
129 1
< 0.1%
133 1
< 0.1%
141 1
< 0.1%
142 1
< 0.1%
143 1
< 0.1%
144 1
< 0.1%
ValueCountFrequency (%)
3062 1
< 0.1%
3061 1
< 0.1%
3046 1
< 0.1%
3045 1
< 0.1%
3044 1
< 0.1%
3043 1
< 0.1%
3042 1
< 0.1%
3041 1
< 0.1%
3031 1
< 0.1%
3030 1
< 0.1%

명칭
Text

Distinct461
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2023-12-12T15:52:32.952145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length65
Mean length39.107094
Min length3

Characters and Unicode

Total characters85449
Distinct characters474
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)12.3%

Sample

1st row안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인
2nd row안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인
3rd row안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인
4th row안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인
5th row안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인
ValueCountFrequency (%)
1277
 
6.0%
1110
 
5.3%
대한 588
 
2.8%
초음파 553
 
2.6%
요구사항 481
 
2.3%
의료용 383
 
1.8%
개별 295
 
1.4%
가이드라인 281
 
1.3%
기본 278
 
1.3%
관한 276
 
1.3%
Other values (1272) 15614
73.9%
2023-12-12T15:52:33.427678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19077
 
22.3%
3558
 
4.2%
2058
 
2.4%
- 1440
 
1.7%
1420
 
1.7%
1185
 
1.4%
1177
 
1.4%
1131
 
1.3%
1112
 
1.3%
1111
 
1.3%
Other values (464) 52180
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57406
67.2%
Space Separator 19077
 
22.3%
Uppercase Letter 2116
 
2.5%
Decimal Number 1774
 
2.1%
Dash Punctuation 1652
 
1.9%
Lowercase Letter 1530
 
1.8%
Other Punctuation 1083
 
1.3%
Open Punctuation 406
 
0.5%
Close Punctuation 404
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3558
 
6.2%
2058
 
3.6%
1420
 
2.5%
1185
 
2.1%
1177
 
2.1%
1131
 
2.0%
1112
 
1.9%
1111
 
1.9%
1079
 
1.9%
1075
 
1.9%
Other values (393) 42500
74.0%
Uppercase Letter
ValueCountFrequency (%)
M 345
16.3%
H 333
15.7%
X 322
15.2%
P 273
12.9%
I 191
9.0%
T 134
 
6.3%
C 106
 
5.0%
U 97
 
4.6%
V 93
 
4.4%
E 52
 
2.5%
Other values (13) 170
8.0%
Lowercase Letter
ValueCountFrequency (%)
a 272
17.8%
t 251
16.4%
z 235
15.4%
r 217
14.2%
s 110
7.2%
e 85
 
5.6%
y 72
 
4.7%
k 51
 
3.3%
n 39
 
2.5%
i 38
 
2.5%
Other values (11) 160
10.5%
Decimal Number
ValueCountFrequency (%)
2 425
24.0%
0 340
19.2%
1 267
15.1%
3 196
11.0%
4 152
 
8.6%
6 134
 
7.6%
5 123
 
6.9%
7 63
 
3.6%
8 62
 
3.5%
9 12
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 647
59.7%
, 264
24.4%
. 86
 
7.9%
/ 68
 
6.3%
9
 
0.8%
8
 
0.7%
· 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1440
87.2%
129
 
7.8%
83
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 393
97.3%
] 10
 
2.5%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 396
97.5%
[ 10
 
2.5%
Space Separator
ValueCountFrequency (%)
19077
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57406
67.2%
Common 24397
28.6%
Latin 3645
 
4.3%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3558
 
6.2%
2058
 
3.6%
1420
 
2.5%
1185
 
2.1%
1177
 
2.1%
1131
 
2.0%
1112
 
1.9%
1111
 
1.9%
1079
 
1.9%
1075
 
1.9%
Other values (393) 42500
74.0%
Latin
ValueCountFrequency (%)
M 345
 
9.5%
H 333
 
9.1%
X 322
 
8.8%
P 273
 
7.5%
a 272
 
7.5%
t 251
 
6.9%
z 235
 
6.4%
r 217
 
6.0%
I 191
 
5.2%
T 134
 
3.7%
Other values (33) 1072
29.4%
Common
ValueCountFrequency (%)
19077
78.2%
- 1440
 
5.9%
: 647
 
2.7%
2 425
 
1.7%
( 396
 
1.6%
) 393
 
1.6%
0 340
 
1.4%
1 267
 
1.1%
, 264
 
1.1%
3 196
 
0.8%
Other values (17) 952
 
3.9%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57406
67.2%
ASCII 27811
32.5%
None 149
 
0.2%
Punctuation 83
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19077
68.6%
- 1440
 
5.2%
: 647
 
2.3%
2 425
 
1.5%
( 396
 
1.4%
) 393
 
1.4%
M 345
 
1.2%
0 340
 
1.2%
H 333
 
1.2%
X 322
 
1.2%
Other values (54) 4093
 
14.7%
Hangul
ValueCountFrequency (%)
3558
 
6.2%
2058
 
3.6%
1420
 
2.5%
1185
 
2.1%
1177
 
2.1%
1131
 
2.0%
1112
 
1.9%
1111
 
1.9%
1079
 
1.9%
1075
 
1.9%
Other values (393) 42500
74.0%
None
ValueCountFrequency (%)
129
86.6%
9
 
6.0%
8
 
5.4%
1
 
0.7%
β 1
 
0.7%
· 1
 
0.7%
Punctuation
ValueCountFrequency (%)
83
100.0%
Distinct38
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
Minimum2013-01-04 00:00:00
Maximum2022-12-28 00:00:00
2023-12-12T15:52:33.571614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:33.720356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

코드
Text

Distinct369
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2023-12-12T15:52:33.930967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length14.628833
Min length3

Characters and Unicode

Total characters31964
Distinct characters69
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

Unique212 ?
Unique (%)9.7%

Sample

1st rowISO15004-1
2nd rowISO15004-1
3rd rowISO15004-1
4th rowISO15004-1
5th rowISO15004-1
ValueCountFrequency (%)
iec 629
 
14.5%
astm 242
 
5.6%
iso 225
 
5.2%
가이던스 201
 
4.6%
ed 133
 
3.1%
fda 128
 
3.0%
1.0 120
 
2.8%
guidance 106
 
2.4%
ud 94
 
2.2%
nema 94
 
2.2%
Other values (406) 2364
54.5%
2023-12-12T15:52:34.345464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3789
 
11.9%
2 3138
 
9.8%
1 3100
 
9.7%
2166
 
6.8%
- 1796
 
5.6%
6 1676
 
5.2%
I 1307
 
4.1%
E 1192
 
3.7%
: 915
 
2.9%
S 801
 
2.5%
Other values (59) 12084
37.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15620
48.9%
Uppercase Letter 8152
25.5%
Space Separator 2166
 
6.8%
Dash Punctuation 1799
 
5.6%
Other Punctuation 1563
 
4.9%
Other Letter 1024
 
3.2%
Lowercase Letter 1013
 
3.2%
Close Punctuation 251
 
0.8%
Open Punctuation 247
 
0.8%
Math Symbol 114
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 1307
16.0%
E 1192
14.6%
S 801
9.8%
C 801
9.8%
A 745
9.1%
M 529
6.5%
O 472
 
5.8%
T 442
 
5.4%
D 440
 
5.4%
F 342
 
4.2%
Other values (12) 1081
13.3%
Lowercase Letter
ValueCountFrequency (%)
d 341
33.7%
a 121
 
11.9%
n 110
 
10.9%
e 109
 
10.8%
u 106
 
10.5%
i 106
 
10.5%
c 106
 
10.5%
o 4
 
0.4%
r 3
 
0.3%
t 2
 
0.2%
Other values (3) 5
 
0.5%
Other Letter
ValueCountFrequency (%)
201
19.6%
201
19.6%
201
19.6%
201
19.6%
53
 
5.2%
52
 
5.1%
24
 
2.3%
24
 
2.3%
24
 
2.3%
24
 
2.3%
Other values (3) 19
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 3789
24.3%
2 3138
20.1%
1 3100
19.8%
6 1676
10.7%
4 749
 
4.8%
9 686
 
4.4%
3 670
 
4.3%
5 654
 
4.2%
8 591
 
3.8%
7 567
 
3.6%
Other Punctuation
ValueCountFrequency (%)
: 915
58.5%
. 478
30.6%
/ 168
 
10.7%
* 2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1796
99.8%
3
 
0.2%
Space Separator
ValueCountFrequency (%)
2166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Math Symbol
ValueCountFrequency (%)
+ 114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21775
68.1%
Latin 9165
28.7%
Hangul 1024
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 1307
14.3%
E 1192
13.0%
S 801
 
8.7%
C 801
 
8.7%
A 745
 
8.1%
M 529
 
5.8%
O 472
 
5.2%
T 442
 
4.8%
D 440
 
4.8%
F 342
 
3.7%
Other values (25) 2094
22.8%
Common
ValueCountFrequency (%)
0 3789
17.4%
2 3138
14.4%
1 3100
14.2%
2166
9.9%
- 1796
8.2%
6 1676
7.7%
: 915
 
4.2%
4 749
 
3.4%
9 686
 
3.2%
3 670
 
3.1%
Other values (11) 3090
14.2%
Hangul
ValueCountFrequency (%)
201
19.6%
201
19.6%
201
19.6%
201
19.6%
53
 
5.2%
52
 
5.1%
24
 
2.3%
24
 
2.3%
24
 
2.3%
24
 
2.3%
Other values (3) 19
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30937
96.8%
Hangul 1024
 
3.2%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3789
 
12.2%
2 3138
 
10.1%
1 3100
 
10.0%
2166
 
7.0%
- 1796
 
5.8%
6 1676
 
5.4%
I 1307
 
4.2%
E 1192
 
3.9%
: 915
 
3.0%
S 801
 
2.6%
Other values (45) 11057
35.7%
Hangul
ValueCountFrequency (%)
201
19.6%
201
19.6%
201
19.6%
201
19.6%
53
 
5.2%
52
 
5.1%
24
 
2.3%
24
 
2.3%
24
 
2.3%
24
 
2.3%
Other values (3) 19
 
1.9%
Punctuation
ValueCountFrequency (%)
3
100.0%

평균별점
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49107551
Minimum0
Maximum5
Zeros1920
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T15:52:34.485609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.8
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3768221
Coefficient of variation (CV)2.8036872
Kurtosis4.8975436
Mean0.49107551
Median Absolute Deviation (MAD)0
Skewness2.5740385
Sum1073
Variance1.8956392
MonotonicityNot monotonic
2023-12-12T15:52:34.580699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1920
87.9%
5 110
 
5.0%
4 98
 
4.5%
3 35
 
1.6%
1 18
 
0.8%
2 4
 
0.2%
ValueCountFrequency (%)
0 1920
87.9%
1 18
 
0.8%
2 4
 
0.2%
3 35
 
1.6%
4 98
 
4.5%
5 110
 
5.0%
ValueCountFrequency (%)
5 110
 
5.0%
4 98
 
4.5%
3 35
 
1.6%
2 4
 
0.2%
1 18
 
0.8%
0 1920
87.9%

Interactions

2023-12-12T15:52:32.077471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:31.877174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:32.161858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:31.974268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:52:34.655148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호최종수정일평균별점
일련번호1.0000.9870.274
최종수정일0.9871.0000.404
평균별점0.2740.4041.000
2023-12-12T15:52:34.761703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호평균별점
일련번호1.000-0.208
평균별점-0.2081.000

Missing values

2023-12-12T15:52:32.272180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:52:32.399292image/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

일련번호명칭최종수정일코드평균별점
0838안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
1839안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
2840안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
3841안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
4842안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-15
5843안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-14
6844안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
7845안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
8846안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
9847안과기기 - 기본 요구사항 및 시험방법 - Part 1 : 모든 안과 기기에 적용되는 일반요구사항 가이드라인2013-01-29ISO15004-10
일련번호명칭최종수정일코드평균별점
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21783020진단방사선 의료기기의 디스플레이 장치2020-01-26FDA 가이던스0
21793029치과용 Cone Beam CT 등록 기술심사 지도원칙2020-01-26지도원칙0
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21813043의료용 전기기기-제2-22부: 수술, 미용, 치료 및 진단용 레이저 기기의 기본 안전 및 필수 성능에 관한 개별 요구사항2021-06-10IEC 60601-2-220
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21833046의료용 전기기기-제2-22부: 수술 미용 치료 및 진단용 레이저 기기의 기본 안전 및 필수 성능에 관한 개별 요구사항 2021-01-01 제정2021-06-10IEC 60601-2-220
21843061의료용 전기기기 제2-90부 고유량 호흡치료장비의 기본 안전 및 필수 성능에 대한 개별 요구사항2022-12-28ISO 80601-2-90:20210