Overview

Dataset statistics

Number of variables6
Number of observations609
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.3 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description한국보건산업진흥원_고령친화 우수제품 유지현황 목록입니다. 업체명, 품목군, 모델명, 우수제품 코드, 지정년도를 확인할 수 있습니다.
Author한국보건산업진흥원
URLhttps://www.data.go.kr/data/15060486/fileData.do

Alerts

순번 is highly overall correlated with 지정년도High correlation
지정년도 is highly overall correlated with 순번High correlation
우수제품코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:17:40.741189
Analysis finished2023-12-12 12:17:41.590739
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct608
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304.98522
Minimum1
Maximum609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-12T21:17:41.702188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.4
Q1153
median305
Q3457
95-th percentile578.6
Maximum609
Range608
Interquartile range (IQR)304

Descriptive statistics

Standard deviation175.96893
Coefficient of variation (CV)0.57697526
Kurtosis-1.1998462
Mean304.98522
Median Absolute Deviation (MAD)152
Skewness-0.0002810577
Sum185736
Variance30965.064
MonotonicityNot monotonic
2023-12-12T21:17:41.917872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 2
 
0.3%
1 1
 
0.2%
411 1
 
0.2%
404 1
 
0.2%
405 1
 
0.2%
406 1
 
0.2%
407 1
 
0.2%
408 1
 
0.2%
409 1
 
0.2%
410 1
 
0.2%
Other values (598) 598
98.2%
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 (%)
609 1
0.2%
608 1
0.2%
607 1
0.2%
606 1
0.2%
605 1
0.2%
604 1
0.2%
603 1
0.2%
602 1
0.2%
601 1
0.2%
600 1
0.2%

업체명
Text

Distinct108
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T21:17:42.303358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.7701149
Min length2

Characters and Unicode

Total characters4123
Distinct characters185
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)4.3%

Sample

1st row액티브프로코리아㈜
2nd row액티브프로코리아㈜
3rd row나이스텍
4th row삼원스카이
5th row삼원스카이
ValueCountFrequency (%)
주식회사 61
 
9.1%
㈜아시아엠이 48
 
7.1%
㈜삼주유니콘 24
 
3.6%
㈜영원메디칼 22
 
3.3%
㈜엠씨텍 19
 
2.8%
코리아케어서프라이㈜ 19
 
2.8%
미키코리아㈜ 19
 
2.8%
㈜태양메디텍 17
 
2.5%
유광정밀 17
 
2.5%
용화 16
 
2.4%
Other values (102) 411
61.1%
2023-12-12T21:17:42.814026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 247
 
6.0%
㈜ 242
 
5.9%
아 185
 
4.5%
이 179
 
4.3%
) 141
 
3.4%
( 141
 
3.4%
스 117
 
2.8%
케 103
 
2.5%
사 95
 
2.3%
메 93
 
2.3%
Other values (175) 2580
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3526
85.5%
Other Symbol 242
 
5.9%
Close Punctuation 141
 
3.4%
Open Punctuation 141
 
3.4%
Space Separator 64
 
1.6%
Other Punctuation 6
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 247
 
7.0%
아 185
 
5.2%
이 179
 
5.1%
스 117
 
3.3%
케 103
 
2.9%
사 95
 
2.7%
메 93
 
2.6%
디 93
 
2.6%
어 91
 
2.6%
리 91
 
2.6%
Other values (167) 2232
63.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3768
91.4%
Common 352
 
8.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 247
 
6.6%
㈜ 242
 
6.4%
아 185
 
4.9%
이 179
 
4.8%
스 117
 
3.1%
케 103
 
2.7%
사 95
 
2.5%
메 93
 
2.5%
디 93
 
2.5%
어 91
 
2.4%
Other values (168) 2323
61.7%
Common
ValueCountFrequency (%)
) 141
40.1%
( 141
40.1%
64
18.2%
. 6
 
1.7%
Latin
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3526
85.5%
ASCII 355
 
8.6%
None 242
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 247
 
7.0%
아 185
 
5.2%
이 179
 
5.1%
스 117
 
3.3%
케 103
 
2.9%
사 95
 
2.7%
메 93
 
2.6%
디 93
 
2.6%
어 91
 
2.6%
리 91
 
2.6%
Other values (167) 2232
63.3%
None
ValueCountFrequency (%)
㈜ 242
100.0%
ASCII
ValueCountFrequency (%)
) 141
39.7%
( 141
39.7%
64
18.0%
. 6
 
1.7%
G 1
 
0.3%
N 1
 
0.3%
E 1
 
0.3%

품목군
Categorical

Distinct38
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
보행보조차
83 
안전손잡이
78 
지팡이
58 
보행차
46 
가정용 미끄럼방지용품
46 
Other values (33)
298 

Length

Max length14
Median length13
Mean length5.3349754
Min length2

Unique

Unique19 ?
Unique (%)3.1%

Sample

1st row보행차
2nd row보행차
3rd row보행차
4th row보행차
5th row보행차

Common Values

ValueCountFrequency (%)
보행보조차 83
13.6%
안전손잡이 78
12.8%
지팡이 58
9.5%
보행차 46
 
7.6%
가정용 미끄럼방지용품 46
 
7.6%
전동침대 39
 
6.4%
수동휠체어 37
 
6.1%
욕창예방매트리스 34
 
5.6%
자세변환용구 28
 
4.6%
요실금팬티 28
 
4.6%
Other values (28) 132
21.7%

Length

2023-12-12T21:17:42.979576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행보조차 83
12.6%
안전손잡이 78
11.8%
지팡이 58
 
8.8%
보행차 46
 
7.0%
가정용 46
 
7.0%
미끄럼방지용품 46
 
7.0%
전동침대 39
 
5.9%
수동휠체어 37
 
5.6%
욕창예방매트리스 34
 
5.1%
자세변환용구 28
 
4.2%
Other values (35) 166
25.1%

모델명
Text

Distinct607
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T21:17:43.251984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length8.4614122
Min length2

Characters and Unicode

Total characters5153
Distinct characters241
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique605 ?
Unique (%)99.3%

Sample

1st row투프로워커
2nd row액티브워커
3rd row4S
4th rowSK-3000
5th rowSKW-200
ValueCountFrequency (%)
라온아띠 16
 
1.9%
30cc 9
 
1.1%
지팡이 8
 
1.0%
kcs 8
 
1.0%
50cc 6
 
0.7%
고령자용 5
 
0.6%
케어 5
 
0.6%
pu 5
 
0.6%
tpu 4
 
0.5%
하이제라 4
 
0.5%
Other values (689) 753
91.5%
2023-12-12T21:17:43.688396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 607
 
11.8%
- 455
 
8.8%
1 289
 
5.6%
219
 
4.2%
S 215
 
4.2%
2 180
 
3.5%
3 150
 
2.9%
A 146
 
2.8%
M 142
 
2.8%
H 125
 
2.4%
Other values (231) 2625
50.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1835
35.6%
Decimal Number 1577
30.6%
Other Letter 759
14.7%
Dash Punctuation 455
 
8.8%
Space Separator 219
 
4.2%
Lowercase Letter 190
 
3.7%
Close Punctuation 44
 
0.9%
Open Punctuation 43
 
0.8%
Other Punctuation 22
 
0.4%
Letter Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 60
 
7.9%
라 25
 
3.3%
트 24
 
3.2%
스 24
 
3.2%
아 20
 
2.6%
지 18
 
2.4%
버 17
 
2.2%
실 17
 
2.2%
온 17
 
2.2%
띠 16
 
2.1%
Other values (162) 521
68.6%
Uppercase Letter
ValueCountFrequency (%)
S 215
 
11.7%
A 146
 
8.0%
M 142
 
7.7%
H 125
 
6.8%
C 118
 
6.4%
B 110
 
6.0%
T 100
 
5.4%
D 100
 
5.4%
P 92
 
5.0%
R 63
 
3.4%
Other values (16) 624
34.0%
Lowercase Letter
ValueCountFrequency (%)
o 23
12.1%
s 21
11.1%
e 18
 
9.5%
r 17
 
8.9%
c 15
 
7.9%
k 12
 
6.3%
l 12
 
6.3%
i 10
 
5.3%
b 9
 
4.7%
j 8
 
4.2%
Other values (11) 45
23.7%
Decimal Number
ValueCountFrequency (%)
0 607
38.5%
1 289
18.3%
2 180
 
11.4%
3 150
 
9.5%
5 88
 
5.6%
4 77
 
4.9%
7 51
 
3.2%
8 51
 
3.2%
6 49
 
3.1%
9 35
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 11
50.0%
/ 8
36.4%
. 2
 
9.1%
: 1
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅲ 2
28.6%
Ⅰ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2362
45.8%
Latin 2032
39.4%
Hangul 758
 
14.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 60
 
7.9%
라 25
 
3.3%
트 24
 
3.2%
스 24
 
3.2%
아 20
 
2.6%
지 18
 
2.4%
버 17
 
2.2%
실 17
 
2.2%
온 17
 
2.2%
띠 16
 
2.1%
Other values (161) 520
68.6%
Latin
ValueCountFrequency (%)
S 215
 
10.6%
A 146
 
7.2%
M 142
 
7.0%
H 125
 
6.2%
C 118
 
5.8%
B 110
 
5.4%
T 100
 
4.9%
D 100
 
4.9%
P 92
 
4.5%
R 63
 
3.1%
Other values (40) 821
40.4%
Common
ValueCountFrequency (%)
0 607
25.7%
- 455
19.3%
1 289
12.2%
219
 
9.3%
2 180
 
7.6%
3 150
 
6.4%
5 88
 
3.7%
4 77
 
3.3%
7 51
 
2.2%
8 51
 
2.2%
Other values (9) 195
 
8.3%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4385
85.1%
Hangul 758
 
14.7%
Number Forms 7
 
0.1%
Punctuation 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 607
 
13.8%
- 455
 
10.4%
1 289
 
6.6%
219
 
5.0%
S 215
 
4.9%
2 180
 
4.1%
3 150
 
3.4%
A 146
 
3.3%
M 142
 
3.2%
H 125
 
2.9%
Other values (55) 1857
42.3%
Hangul
ValueCountFrequency (%)
이 60
 
7.9%
라 25
 
3.3%
트 24
 
3.2%
스 24
 
3.2%
아 20
 
2.6%
지 18
 
2.4%
버 17
 
2.2%
실 17
 
2.2%
온 17
 
2.2%
띠 16
 
2.1%
Other values (161) 520
68.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅲ 2
28.6%
Ⅰ 1
 
14.3%
Punctuation
ValueCountFrequency (%)
” 2
100.0%
CJK
ValueCountFrequency (%)
孝 1
100.0%

우수제품코드
Text

UNIQUE 

Distinct609
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T21:17:43.970107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.993432
Min length8

Characters and Unicode

Total characters7304
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique609 ?
Unique (%)100.0%

Sample

1st rowM06060002501
2nd rowM06060002502
3rd rowM06060004003
4th rowM06060006501
5th rowM06060006502
ValueCountFrequency (%)
m06060002501 1
 
0.2%
f30090168010 1
 
0.2%
f30030169003 1
 
0.2%
h12060030014 1
 
0.2%
h12030030005 1
 
0.2%
f30090168001 1
 
0.2%
f30090168002 1
 
0.2%
f30090168003 1
 
0.2%
f30300167001 1
 
0.2%
f30090168008 1
 
0.2%
Other values (599) 599
98.4%
2023-12-12T21:17:44.418499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3145
43.1%
1 846
 
11.6%
3 763
 
10.4%
6 446
 
6.1%
5 382
 
5.2%
2 288
 
3.9%
8 281
 
3.8%
9 262
 
3.6%
M 255
 
3.5%
4 186
 
2.5%
Other values (10) 450
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6693
91.6%
Uppercase Letter 609
 
8.3%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3145
47.0%
1 846
 
12.6%
3 763
 
11.4%
6 446
 
6.7%
5 382
 
5.7%
2 288
 
4.3%
8 281
 
4.2%
9 262
 
3.9%
4 186
 
2.8%
7 94
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
M 255
41.9%
F 148
24.3%
T 69
 
11.3%
H 67
 
11.0%
S 42
 
6.9%
B 26
 
4.3%
C 1
 
0.2%
E 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6695
91.7%
Latin 609
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3145
47.0%
1 846
 
12.6%
3 763
 
11.4%
6 446
 
6.7%
5 382
 
5.7%
2 288
 
4.3%
8 281
 
4.2%
9 262
 
3.9%
4 186
 
2.8%
7 94
 
1.4%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
M 255
41.9%
F 148
24.3%
T 69
 
11.3%
H 67
 
11.0%
S 42
 
6.9%
B 26
 
4.3%
C 1
 
0.2%
E 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3145
43.1%
1 846
 
11.6%
3 763
 
10.4%
6 446
 
6.1%
5 382
 
5.2%
2 288
 
3.9%
8 281
 
3.8%
9 262
 
3.6%
M 255
 
3.5%
4 186
 
2.5%
Other values (10) 450
 
6.2%

지정년도
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2020년 하반기
69 
2008년 하반기
58 
2021년 하반기
54 
2019년 하반기
40 
2010년 상반기
 
34
Other values (20)
354 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
2020년 하반기 69
 
11.3%
2008년 하반기 58
 
9.5%
2021년 하반기 54
 
8.9%
2019년 하반기 40
 
6.6%
2010년 상반기 34
 
5.6%
2018년 하반기 33
 
5.4%
2019년 상반기 32
 
5.3%
2014년 하반기 31
 
5.1%
2010년 하반기 30
 
4.9%
2015년 하반기 28
 
4.6%
Other values (15) 200
32.8%

Length

2023-12-12T21:17:44.596794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하반기 441
36.2%
상반기 168
 
13.8%
2020년 92
 
7.6%
2019년 72
 
5.9%
2010년 64
 
5.3%
2008년 58
 
4.8%
2018년 57
 
4.7%
2021년 54
 
4.4%
2014년 44
 
3.6%
2015년 30
 
2.5%
Other values (6) 138
 
11.3%

Interactions

2023-12-12T21:17:41.207415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:17:44.695074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번품목군지정년도
순번1.0000.6390.989
품목군0.6391.0000.789
지정년도0.9890.7891.000
2023-12-12T21:17:44.805506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정년도품목군
지정년도1.0000.288
품목군0.2881.000
2023-12-12T21:17:44.890038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번품목군지정년도
순번1.0000.2740.890
품목군0.2741.0000.288
지정년도0.8900.2881.000

Missing values

2023-12-12T21:17:41.358606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:17:41.523899image/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

순번업체명품목군모델명우수제품코드지정년도
01액티브프로코리아㈜보행차투프로워커M060600025012008년 하반기
12액티브프로코리아㈜보행차액티브워커M060600025022008년 하반기
23나이스텍보행차4SM060600040032008년 하반기
34삼원스카이보행차SK-3000M060600065012008년 하반기
45삼원스카이보행차SKW-200M060600065022008년 하반기
56삼원스카이보행차SKB-1100M060600060012008년 하반기
67세레부주식회사보행보조차리즈무RWCM060900205012008년 하반기
78미키코리아㈜수동휠체어MIRAGE7(22D)M180300430012008년 하반기
89삼원스카이수동휠체어CA905LM180300065012008년 하반기
910은혜메디칼욕창예방매트리스MD-300 TPU2H120600260012008년 하반기
순번업체명품목군모델명우수제품코드지정년도
599600(주)엔에스비에스자세변환용구NSBS-PC5033M300301490012021년 하반기
600601㈜영원메디칼가정용 미끄럼방지용품바이오 스타 논슬립매트ⅠF300300300022021년 하반기
601602㈜영원메디칼가정용 미끄럼방지용품바이오 스타 논슬립매트 ⅡF300300300032021년 하반기
602603㈜영원메디칼가정용 미끄럼방지용품바이오 스타 논슬립매트 IIIF300300300042021년 하반기
603604㈜영원메디칼욕창예방매트리스AD-1300 MUTE Bio DoubleH120600300162021년 하반기
604605㈜영원메디칼욕창예방매트리스AD-III MUTE Bio DoubleH120600300172021년 하반기
605606(주)옵토닉스전동침대Tango S-bedS030901930022021년 하반기
606607(주)월드케어안전손잡이WS-H100F180301735012021년 하반기
607608(주)웰더스스마트케어수동휠체어KMD-B22-45M180302015012021년 하반기
608609케어오케이자세변환용구AB02M300301955012021년 하반기