Overview

Dataset statistics

Number of variables6
Number of observations402
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description고령친화산업진흥센터 고령친화우수제품 지정유지 현황 (업체명,품목군,모델명,우수제품코드,지정년도가 기재되어 있습니다)
URLhttps://www.data.go.kr/data/3043398/fileData.do

Alerts

연번 is highly overall correlated with 지정년도High correlation
지정년도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
모델명 has unique valuesUnique
우수제품코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:07:06.583361
Analysis finished2023-12-12 16:07:07.371123
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.5
Minimum1
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T01:07:07.432750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.05
Q1101.25
median201.5
Q3301.75
95-th percentile381.95
Maximum402
Range401
Interquartile range (IQR)200.5

Descriptive statistics

Standard deviation116.19165
Coefficient of variation (CV)0.57663351
Kurtosis-1.2
Mean201.5
Median Absolute Deviation (MAD)100.5
Skewness0
Sum81003
Variance13500.5
MonotonicityStrictly increasing
2023-12-13T01:07:07.577198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
266 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
270 1
 
0.2%
269 1
 
0.2%
Other values (392) 392
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%
395 1
0.2%
394 1
0.2%
393 1
0.2%

업체명
Text

Distinct98
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T01:07:07.786843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length5.8830846
Min length2

Characters and Unicode

Total characters2365
Distinct characters179
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)7.2%

Sample

1st row나이스텍
2nd row미키코리아㈜
3rd row삼원스카이
4th row삼원스카이
5th row세레부주식회사
ValueCountFrequency (%)
㈜에이엠이 20
 
4.8%
㈜영원메디칼 20
 
4.8%
㈜애스앤애프 16
 
3.8%
삼인라이프롬 14
 
3.4%
㈜영화의료기 14
 
3.4%
미키코리아㈜ 12
 
2.9%
코리아케어서프라이㈜ 11
 
2.6%
㈜보필 11
 
2.6%
㈜엠씨텍 10
 
2.4%
세비앙㈜ 10
 
2.4%
Other values (92) 278
66.8%
2023-12-13T01:07:08.180705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 302
 
12.8%
이 137
 
5.8%
스 80
 
3.4%
케 66
 
2.8%
아 63
 
2.7%
에 62
 
2.6%
어 60
 
2.5%
프 53
 
2.2%
리 51
 
2.2%
코 49
 
2.1%
Other values (169) 1442
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2022
85.5%
Other Symbol 302
 
12.8%
Lowercase Letter 18
 
0.8%
Space Separator 15
 
0.6%
Uppercase Letter 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 137
 
6.8%
스 80
 
4.0%
케 66
 
3.3%
아 63
 
3.1%
에 62
 
3.1%
어 60
 
3.0%
프 53
 
2.6%
리 51
 
2.5%
코 49
 
2.4%
원 46
 
2.3%
Other values (154) 1355
67.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
22.2%
a 4
22.2%
l 2
11.1%
j 2
11.1%
k 2
11.1%
r 2
11.1%
e 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 302
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2324
98.3%
Latin 21
 
0.9%
Common 20
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 302
 
13.0%
이 137
 
5.9%
스 80
 
3.4%
케 66
 
2.8%
아 63
 
2.7%
에 62
 
2.7%
어 60
 
2.6%
프 53
 
2.3%
리 51
 
2.2%
코 49
 
2.1%
Other values (155) 1401
60.3%
Latin
ValueCountFrequency (%)
o 4
19.0%
a 4
19.0%
l 2
9.5%
j 2
9.5%
k 2
9.5%
r 2
9.5%
e 2
9.5%
G 1
 
4.8%
N 1
 
4.8%
E 1
 
4.8%
Common
ValueCountFrequency (%)
15
75.0%
( 2
 
10.0%
) 2
 
10.0%
. 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2022
85.5%
None 302
 
12.8%
ASCII 41
 
1.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 302
100.0%
Hangul
ValueCountFrequency (%)
이 137
 
6.8%
스 80
 
4.0%
케 66
 
3.3%
아 63
 
3.1%
에 62
 
3.1%
어 60
 
3.0%
프 53
 
2.6%
리 51
 
2.5%
코 49
 
2.4%
원 46
 
2.3%
Other values (154) 1355
67.0%
ASCII
ValueCountFrequency (%)
15
36.6%
o 4
 
9.8%
a 4
 
9.8%
l 2
 
4.9%
( 2
 
4.9%
j 2
 
4.9%
k 2
 
4.9%
r 2
 
4.9%
e 2
 
4.9%
) 2
 
4.9%
Other values (4) 4
 
9.8%

품목군
Categorical

Distinct18
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
안전손잡이
68 
보행보조차
47 
보행차
34 
요실금팬티
33 
지팡이
30 
Other values (13)
190 

Length

Max length14
Median length11
Mean length5.2288557
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row보행차
2nd row수동휠체어
3rd row이동변기
4th row지팡이
5th row보행보조차

Common Values

ValueCountFrequency (%)
안전손잡이 68
16.9%
보행보조차 47
11.7%
보행차 34
8.5%
요실금팬티 33
8.2%
지팡이 30
7.5%
자세변환용구 26
 
6.5%
전동침대 26
 
6.5%
가정용 미끄럼방지용품 24
 
6.0%
욕창예방방석 23
 
5.7%
욕창예방매트리스 20
 
5.0%
Other values (8) 71
17.7%

Length

2023-12-13T01:07:08.315885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전손잡이 68
16.0%
보행보조차 47
11.0%
보행차 34
 
8.0%
요실금팬티 33
 
7.7%
지팡이 30
 
7.0%
자세변환용구 26
 
6.1%
전동침대 26
 
6.1%
가정용 24
 
5.6%
미끄럼방지용품 24
 
5.6%
욕창예방방석 23
 
5.4%
Other values (9) 91
21.4%

모델명
Text

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T01:07:08.602484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.261194
Min length2

Characters and Unicode

Total characters3321
Distinct characters222
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

Unique402 ?
Unique (%)100.0%

Sample

1st row4S
2nd rowMIRAGE7(22D)
3rd rowSKC-600
4th rowSKL-010
5th row리즈무 RWC
ValueCountFrequency (%)
라온아띠 10
 
1.9%
롤레이터 4
 
0.8%
위풋 4
 
0.8%
mute 3
 
0.6%
30cc 3
 
0.6%
바이오 3
 
0.6%
50cc 3
 
0.6%
논슬립 3
 
0.6%
kcs 3
 
0.6%
스타 3
 
0.6%
Other values (457) 479
92.5%
2023-12-13T01:07:09.030436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 399
 
12.0%
- 293
 
8.8%
S 194
 
5.8%
1 165
 
5.0%
119
 
3.6%
3 105
 
3.2%
2 96
 
2.9%
C 86
 
2.6%
A 85
 
2.6%
M 82
 
2.5%
Other values (212) 1697
51.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1290
38.8%
Decimal Number 957
28.8%
Other Letter 471
 
14.2%
Dash Punctuation 293
 
8.8%
Space Separator 119
 
3.6%
Lowercase Letter 107
 
3.2%
Open Punctuation 34
 
1.0%
Close Punctuation 34
 
1.0%
Other Punctuation 9
 
0.3%
Letter Number 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30
 
6.4%
라 16
 
3.4%
트 15
 
3.2%
스 15
 
3.2%
아 13
 
2.8%
온 11
 
2.3%
띠 10
 
2.1%
드 9
 
1.9%
카 8
 
1.7%
실 8
 
1.7%
Other values (145) 336
71.3%
Uppercase Letter
ValueCountFrequency (%)
S 194
15.0%
C 86
 
6.7%
A 85
 
6.6%
M 82
 
6.4%
H 80
 
6.2%
B 71
 
5.5%
P 68
 
5.3%
D 63
 
4.9%
T 57
 
4.4%
L 57
 
4.4%
Other values (16) 447
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 17
15.9%
o 14
13.1%
c 10
9.3%
b 8
 
7.5%
s 8
 
7.5%
r 7
 
6.5%
k 7
 
6.5%
i 6
 
5.6%
u 5
 
4.7%
l 5
 
4.7%
Other values (10) 20
18.7%
Decimal Number
ValueCountFrequency (%)
0 399
41.7%
1 165
17.2%
3 105
 
11.0%
2 96
 
10.0%
5 59
 
6.2%
4 47
 
4.9%
8 26
 
2.7%
6 26
 
2.7%
7 23
 
2.4%
9 11
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
: 1
 
11.1%
& 1
 
11.1%
. 1
 
11.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
42.9%
Ⅰ 2
28.6%
Ⅱ 2
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1446
43.5%
Latin 1404
42.3%
Hangul 470
 
14.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 30
 
6.4%
라 16
 
3.4%
트 15
 
3.2%
스 15
 
3.2%
아 13
 
2.8%
온 11
 
2.3%
띠 10
 
2.1%
드 9
 
1.9%
카 8
 
1.7%
실 8
 
1.7%
Other values (144) 335
71.3%
Latin
ValueCountFrequency (%)
S 194
 
13.8%
C 86
 
6.1%
A 85
 
6.1%
M 82
 
5.8%
H 80
 
5.7%
B 71
 
5.1%
P 68
 
4.8%
D 63
 
4.5%
T 57
 
4.1%
L 57
 
4.1%
Other values (39) 561
40.0%
Common
ValueCountFrequency (%)
0 399
27.6%
- 293
20.3%
1 165
11.4%
119
 
8.2%
3 105
 
7.3%
2 96
 
6.6%
5 59
 
4.1%
4 47
 
3.3%
( 34
 
2.4%
) 34
 
2.4%
Other values (8) 95
 
6.6%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2843
85.6%
Hangul 470
 
14.2%
Number Forms 7
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 399
 
14.0%
- 293
 
10.3%
S 194
 
6.8%
1 165
 
5.8%
119
 
4.2%
3 105
 
3.7%
2 96
 
3.4%
C 86
 
3.0%
A 85
 
3.0%
M 82
 
2.9%
Other values (54) 1219
42.9%
Hangul
ValueCountFrequency (%)
이 30
 
6.4%
라 16
 
3.4%
트 15
 
3.2%
스 15
 
3.2%
아 13
 
2.8%
온 11
 
2.3%
띠 10
 
2.1%
드 9
 
1.9%
카 8
 
1.7%
실 8
 
1.7%
Other values (144) 335
71.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
42.9%
Ⅰ 2
28.6%
Ⅱ 2
28.6%
CJK
ValueCountFrequency (%)
孝 1
100.0%

우수제품코드
Text

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T01:07:09.249242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4824
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)100.0%

Sample

1st rowM06060004003
2nd rowM18030043001
3rd rowT03030006001
4th rowM03030006501
5th rowM06090020501
ValueCountFrequency (%)
m06060004003 1
 
0.2%
m06060154504 1
 
0.2%
m30030195501 1
 
0.2%
m18030201501 1
 
0.2%
f18030173501 1
 
0.2%
s03090193002 1
 
0.2%
h12060030017 1
 
0.2%
h12060030016 1
 
0.2%
f30030030004 1
 
0.2%
f30030030003 1
 
0.2%
Other values (392) 392
97.5%
2023-12-13T01:07:09.604591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2022
41.9%
1 590
 
12.2%
3 496
 
10.3%
6 257
 
5.3%
5 222
 
4.6%
2 220
 
4.6%
8 196
 
4.1%
9 191
 
4.0%
M 156
 
3.2%
4 137
 
2.8%
Other values (7) 337
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4422
91.7%
Uppercase Letter 402
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2022
45.7%
1 590
 
13.3%
3 496
 
11.2%
6 257
 
5.8%
5 222
 
5.0%
2 220
 
5.0%
8 196
 
4.4%
9 191
 
4.3%
4 137
 
3.1%
7 91
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 156
38.8%
F 107
26.6%
T 49
 
12.2%
H 45
 
11.2%
S 26
 
6.5%
B 18
 
4.5%
C 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4422
91.7%
Latin 402
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2022
45.7%
1 590
 
13.3%
3 496
 
11.2%
6 257
 
5.8%
5 222
 
5.0%
2 220
 
5.0%
8 196
 
4.4%
9 191
 
4.3%
4 137
 
3.1%
7 91
 
2.1%
Latin
ValueCountFrequency (%)
M 156
38.8%
F 107
26.6%
T 49
 
12.2%
H 45
 
11.2%
S 26
 
6.5%
B 18
 
4.5%
C 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2022
41.9%
1 590
 
12.2%
3 496
 
10.3%
6 257
 
5.3%
5 222
 
4.6%
2 220
 
4.6%
8 196
 
4.1%
9 191
 
4.0%
M 156
 
3.2%
4 137
 
2.8%
Other values (7) 337
 
7.0%

지정년도
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2022년 3분기
46 
2021년 2차
32 
2021년 3차
27 
2020년 1분기
 
23
2022년 2분기
 
23
Other values (38)
251 

Length

Max length9
Median length9
Mean length8.7437811
Min length8

Unique

Unique6 ?
Unique (%)1.5%

Sample

1st row2008년 상반기
2nd row2008년 상반기
3rd row2008년 상반기
4th row2008년 상반기
5th row2008년 상반기

Common Values

ValueCountFrequency (%)
2022년 3분기 46
 
11.4%
2021년 2차 32
 
8.0%
2021년 3차 27
 
6.7%
2020년 1분기 23
 
5.7%
2022년 2분기 23
 
5.7%
2020년 4분기 22
 
5.5%
2021년 1차 22
 
5.5%
2023년 1차 22
 
5.5%
2020년 2분기 18
 
4.5%
2020년 3분기 13
 
3.2%
Other values (33) 154
38.3%

Length

2023-12-13T01:07:09.794458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3분기 90
11.2%
2021년 81
 
10.1%
2022년 79
 
9.8%
2020년 76
 
9.5%
2분기 63
 
7.8%
1분기 54
 
6.7%
1차 44
 
5.5%
4분기 43
 
5.3%
2차 32
 
4.0%
3차 27
 
3.4%
Other values (15) 215
26.7%

Interactions

2023-12-13T01:07:07.068760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:07:09.878422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명품목군지정년도
연번1.0000.8890.5320.988
업체명0.8891.0000.9700.942
품목군0.5320.9701.0000.751
지정년도0.9880.9420.7511.000
2023-12-13T01:07:09.989269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정년도품목군
지정년도1.0000.282
품목군0.2821.000
2023-12-13T01:07:10.090871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번품목군지정년도
연번1.0000.2320.861
품목군0.2321.0000.282
지정년도0.8610.2821.000

Missing values

2023-12-13T01:07:07.175272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:07:07.337416image/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

연번업체명품목군모델명우수제품코드지정년도
01나이스텍보행차4SM060600040032008년 상반기
12미키코리아㈜수동휠체어MIRAGE7(22D)M180300430012008년 상반기
23삼원스카이이동변기SKC-600T030300060012008년 상반기
34삼원스카이지팡이SKL-010M030300065012008년 상반기
45세레부주식회사보행보조차리즈무 RWCM060900205012008년 상반기
56㈜영화의료기욕창예방매트리스YH-0302H120600310012008년 상반기
67미키코리아㈜수동휠체어HAL-48(22D)M180300430022008년 하반기
78미키코리아㈜수동휠체어MIRAGE2(16D)M180300430042008년 하반기
89미키코리아㈜수동휠체어MIRAGE22DM180300430052008년 하반기
910민택산업목욕의자MTCAB031800490012008년 하반기
연번업체명품목군모델명우수제품코드지정년도
392393㈜엔티바이오가정용 미끄럼방지용품NT-6001F300301550072023년 1차
393394㈜에이원의료기산업전동침대SMT-5000S030901780032023년 1차
394395㈜에이원의료기산업전동침대SMT-3000S030901780042023년 1차
395396㈜애스앤애프안전손잡이SHL-01B(LED)F180301740112023년 1차
396397㈜애스앤애프안전손잡이SHL-01BS(LED)F180301740122023년 1차
397398㈜애스앤애프자세변환용구SJ-1M300301740012023년 1차
398399㈜애스앤애프자세변환용구SJ-2M300301740022023년 1차
399400㈜애스앤애프자세변환용구SJ-3M300301740032023년 1차
400401㈜애스앤애프자세변환용구SJ-4M300301740042023년 1차
401402주식회사 미라클메디보행보조차SLT 10M060902175012023년 1차