Overview

Dataset statistics

Number of variables6
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory51.6 B

Variable types

Numeric2
Text1
Categorical1
DateTime2

Dataset

Description교육과정 대그룹 분류(교육그룹코드, 그룹이름, 그룹종류, 정렬순서, 등록ID, 등록시간, 업데이트ID, 업데이트시간)
Author한국의료기기안전정보원
URLhttps://www.data.go.kr/data/15067078/fileData.do

Alerts

GROUP_CODE has unique valuesUnique
IN_DTIME has unique valuesUnique
UP_DTIME has unique valuesUnique
SORT_SEQ has 5 (5.9%) zerosZeros

Reproduction

Analysis started2023-12-12 10:28:15.393478
Analysis finished2023-12-12 10:28:16.459276
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

GROUP_CODE
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.882353
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T19:28:16.554795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median45
Q376
95-th percentile94.6
Maximum99
Range98
Interquartile range (IQR)54

Descriptive statistics

Standard deviation29.821458
Coefficient of variation (CV)0.62280685
Kurtosis-1.2858731
Mean47.882353
Median Absolute Deviation (MAD)26
Skewness0.13842769
Sum4070
Variance889.31933
MonotonicityNot monotonic
2023-12-12T19:28:16.743778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1
 
1.2%
99 1
 
1.2%
32 1
 
1.2%
76 1
 
1.2%
63 1
 
1.2%
65 1
 
1.2%
81 1
 
1.2%
24 1
 
1.2%
44 1
 
1.2%
49 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 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%
ValueCountFrequency (%)
99 1
1.2%
98 1
1.2%
97 1
1.2%
96 1
1.2%
95 1
1.2%
93 1
1.2%
92 1
1.2%
91 1
1.2%
90 1
1.2%
89 1
1.2%

GROUP_NAME
Text

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T19:28:17.098807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length11.541176
Min length2

Characters and Unicode

Total characters981
Distinct characters198
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)95.3%

Sample

1st rowISO 13485:2016 현재와 미래 워크숍
2nd row시험검사
3rd row2019년 1등급 의료기기 제조수입업체 눈높이 교육
4th row오프라인 보수교육
5th row의료기기 추적관리시스템
ValueCountFrequency (%)
의료기기 23
 
11.0%
교육 15
 
7.2%
세미나 7
 
3.3%
설명회 5
 
2.4%
임상시험 5
 
2.4%
ra 4
 
1.9%
위한 3
 
1.4%
제품화 3
 
1.4%
지원을 3
 
1.4%
가이드라인 3
 
1.4%
Other values (122) 138
66.0%
2023-12-12T19:28:17.547793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
12.8%
기 64
 
6.5%
육 33
 
3.4%
의 31
 
3.2%
교 31
 
3.2%
료 29
 
3.0%
품 16
 
1.6%
사 16
 
1.6%
인 15
 
1.5%
임 14
 
1.4%
Other values (188) 606
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
75.4%
Space Separator 126
 
12.8%
Uppercase Letter 53
 
5.4%
Decimal Number 39
 
4.0%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Other Punctuation 5
 
0.5%
Connector Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 64
 
8.6%
육 33
 
4.5%
의 31
 
4.2%
교 31
 
4.2%
료 29
 
3.9%
품 16
 
2.2%
사 16
 
2.2%
인 15
 
2.0%
임 14
 
1.9%
시 12
 
1.6%
Other values (152) 479
64.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
18.9%
R 8
15.1%
P 4
 
7.5%
E 4
 
7.5%
S 4
 
7.5%
D 3
 
5.7%
O 3
 
5.7%
G 3
 
5.7%
I 3
 
5.7%
T 2
 
3.8%
Other values (7) 9
17.0%
Decimal Number
ValueCountFrequency (%)
1 11
28.2%
0 8
20.5%
6 5
12.8%
3 4
 
10.3%
2 4
 
10.3%
8 2
 
5.1%
4 2
 
5.1%
9 2
 
5.1%
5 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
: 1
 
20.0%
/ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
] 4
50.0%
) 4
50.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
50.0%
( 4
50.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 740
75.4%
Common 188
 
19.2%
Latin 53
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 64
 
8.6%
육 33
 
4.5%
의 31
 
4.2%
교 31
 
4.2%
료 29
 
3.9%
품 16
 
2.2%
사 16
 
2.2%
인 15
 
2.0%
임 14
 
1.9%
시 12
 
1.6%
Other values (152) 479
64.7%
Common
ValueCountFrequency (%)
126
67.0%
1 11
 
5.9%
0 8
 
4.3%
6 5
 
2.7%
] 4
 
2.1%
3 4
 
2.1%
[ 4
 
2.1%
( 4
 
2.1%
2 4
 
2.1%
) 4
 
2.1%
Other values (9) 14
 
7.4%
Latin
ValueCountFrequency (%)
A 10
18.9%
R 8
15.1%
P 4
 
7.5%
E 4
 
7.5%
S 4
 
7.5%
D 3
 
5.7%
O 3
 
5.7%
G 3
 
5.7%
I 3
 
5.7%
T 2
 
3.8%
Other values (7) 9
17.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 740
75.4%
ASCII 241
 
24.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
52.3%
1 11
 
4.6%
A 10
 
4.1%
R 8
 
3.3%
0 8
 
3.3%
6 5
 
2.1%
] 4
 
1.7%
3 4
 
1.7%
[ 4
 
1.7%
( 4
 
1.7%
Other values (26) 57
23.7%
Hangul
ValueCountFrequency (%)
기 64
 
8.6%
육 33
 
4.5%
의 31
 
4.2%
교 31
 
4.2%
료 29
 
3.9%
품 16
 
2.2%
사 16
 
2.2%
인 15
 
2.0%
임 14
 
1.9%
시 12
 
1.6%
Other values (152) 479
64.7%

GROUP_TYPE
Categorical

Distinct13
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size812.0 B
E
54 
G
10 
W
7 
Q
 
3
R
 
2
Other values (8)
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique7 ?
Unique (%)8.2%

Sample

1st rowE
2nd rowW
3rd rowE
4th rowQ
5th rowE

Common Values

ValueCountFrequency (%)
E 54
63.5%
G 10
 
11.8%
W 7
 
8.2%
Q 3
 
3.5%
R 2
 
2.4%
D 2
 
2.4%
T 1
 
1.2%
M 1
 
1.2%
A 1
 
1.2%
P 1
 
1.2%
Other values (3) 3
 
3.5%

Length

2023-12-12T19:28:17.724079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
e 54
63.5%
g 10
 
11.8%
w 7
 
8.2%
q 3
 
3.5%
r 2
 
2.4%
d 2
 
2.4%
t 1
 
1.2%
m 1
 
1.2%
a 1
 
1.2%
p 1
 
1.2%
Other values (3) 3
 
3.5%

SORT_SEQ
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.6
Minimum0
Maximum99
Zeros5
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T19:28:17.879185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11
median7
Q334
95-th percentile84.8
Maximum99
Range99
Interquartile range (IQR)33

Descriptive statistics

Standard deviation29.580882
Coefficient of variation (CV)1.3088886
Kurtosis0.46294886
Mean22.6
Median Absolute Deviation (MAD)6
Skewness1.3261474
Sum1921
Variance875.02857
MonotonicityNot monotonic
2023-12-12T19:28:18.360515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 20
23.5%
5 5
 
5.9%
0 5
 
5.9%
7 4
 
4.7%
2 4
 
4.7%
18 3
 
3.5%
4 3
 
3.5%
3 3
 
3.5%
9 2
 
2.4%
33 2
 
2.4%
Other values (30) 34
40.0%
ValueCountFrequency (%)
0 5
 
5.9%
1 20
23.5%
2 4
 
4.7%
3 3
 
3.5%
4 3
 
3.5%
5 5
 
5.9%
6 2
 
2.4%
7 4
 
4.7%
9 2
 
2.4%
10 1
 
1.2%
ValueCountFrequency (%)
99 2
2.4%
98 1
1.2%
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
78 1
1.2%
77 1
1.2%
75 1
1.2%

IN_DTIME
Date

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2013-01-17 00:00:00
Maximum2020-06-19 09:21:04
2023-12-12T19:28:18.506279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:18.649540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

UP_DTIME
Date

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2013-11-29 14:51:57.470000
Maximum2020-06-19 09:28:19
2023-12-12T19:28:18.787103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:18.921699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T19:28:15.999087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:15.786021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:16.100607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:15.890756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:28:19.005013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GROUP_CODEGROUP_NAMEGROUP_TYPESORT_SEQIN_DTIMEUP_DTIME
GROUP_CODE1.0000.9020.5010.7171.0001.000
GROUP_NAME0.9021.0000.0000.9381.0001.000
GROUP_TYPE0.5010.0001.0000.0001.0001.000
SORT_SEQ0.7170.9380.0001.0001.0001.000
IN_DTIME1.0001.0001.0001.0001.0001.000
UP_DTIME1.0001.0001.0001.0001.0001.000
2023-12-12T19:28:19.103657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GROUP_CODESORT_SEQGROUP_TYPE
GROUP_CODE1.000-0.0360.178
SORT_SEQ-0.0361.0000.000
GROUP_TYPE0.1780.0001.000

Missing values

2023-12-12T19:28:16.254026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:28:16.403988image/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

GROUP_CODEGROUP_NAMEGROUP_TYPESORT_SEQIN_DTIMEUP_DTIME
040ISO 13485:2016 현재와 미래 워크숍E402018-11-05 09:01:26.02018-11-05 10:40:03.0
154시험검사W12019-09-06 09:39:09.02019-09-06 09:40:49.0
2792019년 1등급 의료기기 제조수입업체 눈높이 교육E992019-09-25 16:38:40.02019-09-25 16:38:40.0
370오프라인 보수교육Q52020-05-29 17:19:11.02020-05-29 17:19:11.0
436의료기기 추적관리시스템E992018-06-18 17:16:54.02018-06-18 17:16:54.0
559SEOAHE552019-07-27 17:30:15.02019-07-27 17:30:33.0
683GMP 정기심사 교육E592018-10-29 13:01:39.02019-09-16 10:57:32.0
729제조/수입품질책임자G822019-12-23 10:48:55.02019-12-23 10:50:19.0
81기본교육과정G12013-01-17 00:00:00.02015-04-17 09:54:48.13
92전문교육과정G42013-01-24 16:05:50.2132015-04-17 09:55:49.26
GROUP_CODEGROUP_NAMEGROUP_TYPESORT_SEQIN_DTIMEUP_DTIME
7569TESTE02019-12-09 16:59:15.02019-12-09 16:59:15.0
7685의료기기 품질관리 국제기준 도입E852020-06-19 09:21:04.02020-06-19 09:28:19.0
7784RA_온라인교육O842020-04-23 11:05:49.02020-04-23 11:05:49.0
7852RA청년패키지(18년 RA교육 수료생 대상)N12018-06-04 15:11:45.02018-06-04 15:11:45.0
7982의료기기 채용박람회E552018-11-02 13:09:54.02019-10-16 13:06:28.0
809619년도 의료기기 신규업체 대상 눈높이 교육E982019-10-21 10:48:14.02019-10-21 10:49:11.0
8135임상시험 세미나E122019-10-21 14:17:01.02019-10-21 14:17:01.0
8272경인지방식품의약품안전청E12019-11-08 11:42:19.02019-11-08 12:01:38.0
8345맞춤형 기술지원 세미나E12019-05-14 09:56:59.02019-05-14 09:56:59.0
8471디지털헬스 의료기기 규제혁신의 성과와 과제 컨퍼런스E12019-11-06 11:13:40.02019-11-06 11:13:40.0