Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells13
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory55.3 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description디지털헬스케어, 영양통계, R&D, 외국인환자 등 보건산업과 관련된 정보를 한눈에 볼 수 있는 인포그래픽으로 제공합니다.
URLhttps://www.data.go.kr/data/15105677/fileData.do

Alerts

첨부파일명 has 13 (61.9%) missing valuesMissing
번호 has unique valuesUnique
제목 has unique valuesUnique
링크 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:03:07.338487
Analysis finished2023-12-12 18:03:07.985125
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T03:03:08.048118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-13T03:03:08.188138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

분류
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
보건산업총괄
11 
R&D
4 
영양통계
2 
정보보호
2 
제약
 
1

Length

Max length6
Median length6
Mean length4.8095238
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row제약
2nd rowR&D
3rd rowR&D
4th row영양통계
5th rowR&D

Common Values

ValueCountFrequency (%)
보건산업총괄 11
52.4%
R&D 4
 
19.0%
영양통계 2
 
9.5%
정보보호 2
 
9.5%
제약 1
 
4.8%
외국인환자 1
 
4.8%

Length

2023-12-13T03:03:08.365234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:08.553369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건산업총괄 11
52.4%
r&d 4
 
19.0%
영양통계 2
 
9.5%
정보보호 2
 
9.5%
제약 1
 
4.8%
외국인환자 1
 
4.8%

제목
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T03:03:08.890985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32
Mean length23.952381
Min length10

Characters and Unicode

Total characters503
Distinct characters169
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

Unique21 ?
Unique (%)100.0%

Sample

1st row[혁신형 제약기업 돋보기1] 연매출 1조원의 국내 제약회사 등장!
2nd row국민건강과 경제성과 두마리 토끼를 잡는 보건산업 R&D성과 한눈에 보기
3rd row2015년 외국인환자 유치실적 조사결과
4th row[먹방의시대] 우리는 무엇을 얼마나 먹나
5th row2016년 국내 의료기관 해외진출
ValueCountFrequency (%)
비대면 3
 
2.5%
및 3
 
2.5%
두기 2
 
1.7%
속 2
 
1.7%
거리 2
 
1.7%
보건산업 2
 
1.7%
수요 2
 
1.7%
디지털헬스케어 2
 
1.7%
한눈에 2
 
1.7%
생활 2
 
1.7%
Other values (93) 96
81.4%
2023-12-13T03:03:09.470574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
19.3%
인 11
 
2.2%
보 9
 
1.8%
대 9
 
1.8%
1 9
 
1.8%
기 9
 
1.8%
사 8
 
1.6%
의 8
 
1.6%
국 7
 
1.4%
건 7
 
1.4%
Other values (159) 329
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
71.4%
Space Separator 97
 
19.3%
Decimal Number 25
 
5.0%
Other Punctuation 10
 
2.0%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Uppercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 11
 
3.1%
보 9
 
2.5%
대 9
 
2.5%
기 9
 
2.5%
사 8
 
2.2%
의 8
 
2.2%
국 7
 
1.9%
건 7
 
1.9%
한 6
 
1.7%
자 6
 
1.7%
Other values (136) 279
77.7%
Decimal Number
ValueCountFrequency (%)
1 9
36.0%
0 5
20.0%
2 4
16.0%
3 2
 
8.0%
9 2
 
8.0%
4 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
: 3
30.0%
' 2
20.0%
! 2
20.0%
, 1
 
10.0%
& 1
 
10.0%
? 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 2
50.0%
] 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
50.0%
[ 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
71.4%
Common 142
 
28.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 11
 
3.1%
보 9
 
2.5%
대 9
 
2.5%
기 9
 
2.5%
사 8
 
2.2%
의 8
 
2.2%
국 7
 
1.9%
건 7
 
1.9%
한 6
 
1.7%
자 6
 
1.7%
Other values (136) 279
77.7%
Common
ValueCountFrequency (%)
97
68.3%
1 9
 
6.3%
0 5
 
3.5%
2 4
 
2.8%
: 3
 
2.1%
) 2
 
1.4%
3 2
 
1.4%
( 2
 
1.4%
' 2
 
1.4%
[ 2
 
1.4%
Other values (11) 14
 
9.9%
Latin
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
71.4%
ASCII 144
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
67.4%
1 9
 
6.2%
0 5
 
3.5%
2 4
 
2.8%
: 3
 
2.1%
) 2
 
1.4%
3 2
 
1.4%
( 2
 
1.4%
' 2
 
1.4%
[ 2
 
1.4%
Other values (13) 16
 
11.1%
Hangul
ValueCountFrequency (%)
인 11
 
3.1%
보 9
 
2.5%
대 9
 
2.5%
기 9
 
2.5%
사 8
 
2.2%
의 8
 
2.2%
국 7
 
1.9%
건 7
 
1.9%
한 6
 
1.7%
자 6
 
1.7%
Other values (136) 279
77.7%

등록일
Date

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2016-10-06 00:00:00
Maximum2022-11-18 00:00:00
2023-12-13T03:03:09.624532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:03:09.760034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

첨부파일명
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing13
Missing (%)61.9%
Memory size300.0 B
2023-12-13T03:03:09.994209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length66.5
Mean length43.5
Min length14

Characters and Unicode

Total characters348
Distinct characters104
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row컴플레인센터_한국어.png
2nd row건강한_식생활_개인이.hwp, 건강한 식생활 개인이 노오~력하면 되나 (사회경제적 취약요인이 식생활에 미치는 영향).png
3rd row2021 한눈에 보는 보건산업(분할 출력용).pdf, 2021 Korea Healthcare Industry at a Glance.jpg
4th row디지털헬스케어 수요 및 인식조사(의료인 대상).jpg, 디지털헬스케어 수요 및 인식조사(의료인 대상)_분할파일.pdf
5th row1. 환자 대상 디지털헬스케어 수요 및 인식조사(전체).pdf, 2. 환자 대상 디지털헬스케어 수요 및 인식조사(분할).pdf
ValueCountFrequency (%)
디지털헬스케어 4
 
7.7%
수요 4
 
7.7%
및 4
 
7.7%
인식조사(의료인 2
 
3.8%
대상 2
 
3.8%
환자 2
 
3.8%
2021 2
 
3.8%
컴플레인센터_한국어.png 1
 
1.9%
대상)_분할파일.pdf 1
 
1.9%
glance.jpg 1
 
1.9%
Other values (29) 29
55.8%
2023-12-13T03:03:10.377043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
12.6%
. 14
 
4.0%
p 12
 
3.4%
인 10
 
2.9%
사 7
 
2.0%
스 7
 
2.0%
( 7
 
2.0%
g 7
 
2.0%
식 7
 
2.0%
) 7
 
2.0%
Other values (94) 226
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
53.7%
Lowercase Letter 64
 
18.4%
Space Separator 44
 
12.6%
Other Punctuation 18
 
5.2%
Decimal Number 10
 
2.9%
Open Punctuation 7
 
2.0%
Close Punctuation 7
 
2.0%
Connector Punctuation 6
 
1.7%
Uppercase Letter 4
 
1.1%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 10
 
5.3%
사 7
 
3.7%
스 7
 
3.7%
식 7
 
3.7%
대 6
 
3.2%
조 6
 
3.2%
지 5
 
2.7%
요 5
 
2.7%
헬 5
 
2.7%
어 5
 
2.7%
Other values (62) 124
66.3%
Lowercase Letter
ValueCountFrequency (%)
p 12
18.8%
g 7
10.9%
a 6
9.4%
j 5
7.8%
d 5
7.8%
e 4
 
6.2%
f 4
 
6.2%
n 4
 
6.2%
r 3
 
4.7%
t 3
 
4.7%
Other values (8) 11
17.2%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
I 1
25.0%
K 1
25.0%
H 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 3
30.0%
0 2
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 14
77.8%
, 4
 
22.2%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
53.7%
Common 93
26.7%
Latin 68
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 10
 
5.3%
사 7
 
3.7%
스 7
 
3.7%
식 7
 
3.7%
대 6
 
3.2%
조 6
 
3.2%
지 5
 
2.7%
요 5
 
2.7%
헬 5
 
2.7%
어 5
 
2.7%
Other values (62) 124
66.3%
Latin
ValueCountFrequency (%)
p 12
17.6%
g 7
10.3%
a 6
 
8.8%
j 5
 
7.4%
d 5
 
7.4%
e 4
 
5.9%
f 4
 
5.9%
n 4
 
5.9%
r 3
 
4.4%
t 3
 
4.4%
Other values (12) 15
22.1%
Common
ValueCountFrequency (%)
44
47.3%
. 14
 
15.1%
( 7
 
7.5%
) 7
 
7.5%
_ 6
 
6.5%
2 5
 
5.4%
, 4
 
4.3%
1 3
 
3.2%
0 2
 
2.2%
~ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
53.7%
ASCII 161
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
27.3%
. 14
 
8.7%
p 12
 
7.5%
( 7
 
4.3%
g 7
 
4.3%
) 7
 
4.3%
_ 6
 
3.7%
a 6
 
3.7%
2 5
 
3.1%
j 5
 
3.1%
Other values (22) 48
29.8%
Hangul
ValueCountFrequency (%)
인 10
 
5.3%
사 7
 
3.7%
스 7
 
3.7%
식 7
 
3.7%
대 6
 
3.2%
조 6
 
3.2%
지 5
 
2.7%
요 5
 
2.7%
헬 5
 
2.7%
어 5
 
2.7%
Other values (62) 124
66.3%

링크
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T03:03:10.693375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length66.428571
Min length65

Characters and Unicode

Total characters1395
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowhttps://www.khidi.or.kr/board/view?linkId=199259&menuId=MENU01618
2nd rowhttps://www.khidi.or.kr/board/view?linkId=211314&menuId=MENU01618
3rd rowhttps://www.khidi.or.kr/board/view?linkId=211692&menuId=MENU01618
4th rowhttps://www.khidi.or.kr/board/view?linkId=214902&menuId=MENU01618
5th rowhttps://www.khidi.or.kr/board/view?linkId=217356&menuId=MENU01618
ValueCountFrequency (%)
https://www.khidi.or.kr/board/view?linkid=199259&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48824588&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48886213&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48871502&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48868731&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48862711&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48857935&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48830630&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48830535&menuid=menu01618 1
 
4.8%
https://www.khidi.or.kr/board/view?linkid=48826798&menuid=menu01618 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T03:03:11.242793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 84
 
6.0%
w 84
 
6.0%
i 84
 
6.0%
d 84
 
6.0%
. 63
 
4.5%
k 63
 
4.5%
r 63
 
4.5%
1 61
 
4.4%
8 54
 
3.9%
h 42
 
3.0%
Other values (29) 713
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 756
54.2%
Decimal Number 261
 
18.7%
Other Punctuation 210
 
15.1%
Uppercase Letter 126
 
9.0%
Math Symbol 42
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 84
11.1%
i 84
11.1%
d 84
11.1%
k 63
 
8.3%
r 63
 
8.3%
h 42
 
5.6%
e 42
 
5.6%
t 42
 
5.6%
n 42
 
5.6%
o 42
 
5.6%
Other values (8) 168
22.2%
Decimal Number
ValueCountFrequency (%)
1 61
23.4%
8 54
20.7%
6 32
12.3%
0 30
11.5%
2 20
 
7.7%
4 20
 
7.7%
5 12
 
4.6%
3 12
 
4.6%
7 11
 
4.2%
9 9
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 84
40.0%
. 63
30.0%
& 21
 
10.0%
: 21
 
10.0%
? 21
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 42
33.3%
U 21
16.7%
N 21
16.7%
E 21
16.7%
M 21
16.7%
Math Symbol
ValueCountFrequency (%)
= 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 882
63.2%
Common 513
36.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 84
 
9.5%
i 84
 
9.5%
d 84
 
9.5%
k 63
 
7.1%
r 63
 
7.1%
h 42
 
4.8%
e 42
 
4.8%
I 42
 
4.8%
t 42
 
4.8%
n 42
 
4.8%
Other values (13) 294
33.3%
Common
ValueCountFrequency (%)
/ 84
16.4%
. 63
12.3%
1 61
11.9%
8 54
10.5%
= 42
8.2%
6 32
 
6.2%
0 30
 
5.8%
& 21
 
4.1%
: 21
 
4.1%
? 21
 
4.1%
Other values (6) 84
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 84
 
6.0%
w 84
 
6.0%
i 84
 
6.0%
d 84
 
6.0%
. 63
 
4.5%
k 63
 
4.5%
r 63
 
4.5%
1 61
 
4.4%
8 54
 
3.9%
h 42
 
3.0%
Other values (29) 713
51.1%

Interactions

2023-12-13T03:03:07.683254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:03:11.367875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류제목등록일첨부파일명링크
번호1.0000.5191.0001.0001.0001.000
분류0.5191.0001.0000.7651.0001.000
제목1.0001.0001.0001.0001.0001.000
등록일1.0000.7651.0001.0001.0001.000
첨부파일명1.0001.0001.0001.0001.0001.000
링크1.0001.0001.0001.0001.0001.000
2023-12-13T03:03:11.472696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류
번호1.0000.407
분류0.4071.000

Missing values

2023-12-13T03:03:07.823059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:03:07.942702image/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

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