Overview

Dataset statistics

Number of variables12
Number of observations453
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.9 KiB
Average record size in memory99.3 B

Variable types

Numeric2
Categorical6
Text3
Boolean1

Dataset

Description한국장애인고용공단 상용보조공학기기 지원제품 정보(분류, 품목, 제품명, 제조업체, 지원구분, 내용연수)입니다.
URLhttps://www.data.go.kr/data/15053958/fileData.do

Alerts

지원구분 has constant value ""Constant
사후관리 has constant value ""Constant
중분류 is highly overall correlated with 제품코드 and 4 other fieldsHigh correlation
기기구분 is highly overall correlated with 제품코드 and 3 other fieldsHigh correlation
대분류 is highly overall correlated with 제품코드 and 2 other fieldsHigh correlation
제품코드 is highly overall correlated with 기기구분 and 2 other fieldsHigh correlation
제한연수 is highly overall correlated with 기기구분 and 1 other fieldsHigh correlation
장애유형 is highly overall correlated with 중분류High correlation
제품코드 has unique valuesUnique
제품명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:32:39.711808
Analysis finished2023-12-12 15:32:41.431486
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제품코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct453
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9618036 × 109
Minimum4.3303 × 108
Maximum2.82403 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-13T00:32:41.567038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3303 × 108
5-th percentile1.21205 × 109
Q11.21218 × 109
median2.20625 × 109
Q32.41318 × 109
95-th percentile2.80309 × 109
Maximum2.82403 × 109
Range2.391 × 109
Interquartile range (IQR)1.201 × 109

Descriptive statistics

Standard deviation6.4173981 × 108
Coefficient of variation (CV)0.32711726
Kurtosis-0.57687725
Mean1.9618036 × 109
Median Absolute Deviation (MAD)2.1204999 × 108
Skewness-0.64211814
Sum8.8869702 × 1011
Variance4.1182999 × 1017
MonotonicityStrictly increasing
2023-12-13T00:32:41.740681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433030001 1
 
0.2%
2224040004 1
 
0.2%
2239040006 1
 
0.2%
2239040005 1
 
0.2%
2239040004 1
 
0.2%
2239040003 1
 
0.2%
2239040002 1
 
0.2%
2239040001 1
 
0.2%
2229150001 1
 
0.2%
2229120002 1
 
0.2%
Other values (443) 443
97.8%
ValueCountFrequency (%)
433030001 1
0.2%
433030002 1
0.2%
433030003 1
0.2%
433030004 1
0.2%
433030005 1
0.2%
433030006 1
0.2%
433030007 1
0.2%
433030008 1
0.2%
433030009 1
0.2%
433030010 1
0.2%
ValueCountFrequency (%)
2824030007 1
0.2%
2824030006 1
0.2%
2824030005 1
0.2%
2824030003 1
0.2%
2824030002 1
0.2%
2824030001 1
0.2%
2821090004 1
0.2%
2821090002 1
0.2%
2821090001 1
0.2%
2806060005 1
0.2%

지원구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
고용유지
453 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고용유지 453
100.0%

Length

2023-12-13T00:32:42.254920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:42.379222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고용유지 453
100.0%

기기구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
상용(신규)
349 
상용(차량개조)
104 

Length

Max length8
Median length6
Mean length6.4591611
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상용(신규)
2nd row상용(신규)
3rd row상용(신규)
4th row상용(신규)
5th row상용(신규)

Common Values

ValueCountFrequency (%)
상용(신규) 349
77.0%
상용(차량개조) 104
 
23.0%

Length

2023-12-13T00:32:42.511728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:42.652101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상용(신규 349
77.0%
상용(차량개조 104
 
23.0%

대분류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
의사소통용 및 정보관리용 보조공학기기
184 
개인 이동과 교통 관련 활동 및 참여용 보조공학기기
125 
직무 활동 및 참여용 보조공학기기
66 
물건 및 장치의 제어, 운반, 이동 및 조작용 보조공학기기
50 
신체 및 심리 기능의 측정용 보조공학기기
20 

Length

Max length36
Median length32
Mean length23.611479
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신체 및 심리 기능의 측정용 보조공학기기
2nd row신체 및 심리 기능의 측정용 보조공학기기
3rd row신체 및 심리 기능의 측정용 보조공학기기
4th row신체 및 심리 기능의 측정용 보조공학기기
5th row신체 및 심리 기능의 측정용 보조공학기기

Common Values

ValueCountFrequency (%)
의사소통용 및 정보관리용 보조공학기기 184
40.6%
개인 이동과 교통 관련 활동 및 참여용 보조공학기기 125
27.6%
직무 활동 및 참여용 보조공학기기 66
 
14.6%
물건 및 장치의 제어, 운반, 이동 및 조작용 보조공학기기 50
 
11.0%
신체 및 심리 기능의 측정용 보조공학기기 20
 
4.4%
인공적 환경의 안팎활동 지원을 위한 가구와 설비 등의 보조공학기기 8
 
1.8%

Length

2023-12-13T00:32:42.809486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:42.982559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
495
18.3%
보조공학기기 453
16.7%
활동 191
 
7.1%
참여용 191
 
7.1%
의사소통용 184
 
6.8%
정보관리용 184
 
6.8%
개인 125
 
4.6%
이동과 125
 
4.6%
교통 125
 
4.6%
관련 125
 
4.6%
Other values (19) 510
18.8%

중분류
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
차량용 액세서리 및 개조용품
106 
시각 보조공학기기
56 
작업용 가구 및 비품
53 
작동 및 원격제어용 보조공학기기
35 
읽기, 쓰기, 그리기 보조공학기기
29 
Other values (21)
174 

Length

Max length30
Median length25
Mean length13.075055
Min length5

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
차량용 액세서리 및 개조용품 106
23.4%
시각 보조공학기기 56
12.4%
작업용 가구 및 비품 53
11.7%
작동 및 원격제어용 보조공학기기 35
 
7.7%
읽기, 쓰기, 그리기 보조공학기기 29
 
6.4%
출력 장치 29
 
6.4%
대면 의사소통용 보조공학기기 21
 
4.6%
욕창예방용 20
 
4.4%
청각 보조공학기기 19
 
4.2%
원거리 통신용 보조공학기기 13
 
2.9%
Other values (16) 72
15.9%

Length

2023-12-13T00:32:43.188110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보조공학기기 220
14.7%
218
14.6%
액세서리 125
 
8.4%
차량용 106
 
7.1%
개조용품 106
 
7.1%
시각 57
 
3.8%
작업용 53
 
3.5%
가구 53
 
3.5%
비품 53
 
3.5%
원격제어용 35
 
2.3%
Other values (50) 469
31.4%
Distinct63
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T00:32:43.507394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length12.540839
Min length2

Characters and Unicode

Total characters5681
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)3.3%

Sample

1st row욕창예방방석
2nd row욕창예방방석
3rd row욕창예방방석
4th row욕창예방방석
5th row욕창예방방석
ValueCountFrequency (%)
121
 
8.2%
시스템 96
 
6.5%
차량 91
 
6.2%
액세서리 57
 
3.9%
개조용품 56
 
3.8%
휠체어 52
 
3.5%
작업용 52
 
3.5%
이미지확대 51
 
3.5%
보조공학기기 43
 
2.9%
장치 41
 
2.8%
Other values (123) 817
55.3%
2023-12-13T00:32:44.012033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1031
 
18.1%
339
 
6.0%
154
 
2.7%
149
 
2.6%
143
 
2.5%
141
 
2.5%
137
 
2.4%
130
 
2.3%
121
 
2.1%
120
 
2.1%
Other values (157) 3216
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4529
79.7%
Space Separator 1031
 
18.1%
Uppercase Letter 70
 
1.2%
Other Punctuation 17
 
0.3%
Close Punctuation 16
 
0.3%
Open Punctuation 16
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
339
 
7.5%
154
 
3.4%
149
 
3.3%
143
 
3.2%
141
 
3.1%
137
 
3.0%
130
 
2.9%
121
 
2.7%
120
 
2.6%
112
 
2.5%
Other values (143) 2983
65.9%
Uppercase Letter
ValueCountFrequency (%)
T 32
45.7%
S 18
25.7%
R 4
 
5.7%
C 4
 
5.7%
O 4
 
5.7%
Y 2
 
2.9%
D 2
 
2.9%
I 2
 
2.9%
A 2
 
2.9%
Space Separator
ValueCountFrequency (%)
1031
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4529
79.7%
Common 1082
 
19.0%
Latin 70
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
339
 
7.5%
154
 
3.4%
149
 
3.3%
143
 
3.2%
141
 
3.1%
137
 
3.0%
130
 
2.9%
121
 
2.7%
120
 
2.6%
112
 
2.5%
Other values (143) 2983
65.9%
Latin
ValueCountFrequency (%)
T 32
45.7%
S 18
25.7%
R 4
 
5.7%
C 4
 
5.7%
O 4
 
5.7%
Y 2
 
2.9%
D 2
 
2.9%
I 2
 
2.9%
A 2
 
2.9%
Common
ValueCountFrequency (%)
1031
95.3%
, 17
 
1.6%
) 16
 
1.5%
( 16
 
1.5%
- 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4529
79.7%
ASCII 1152
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1031
89.5%
T 32
 
2.8%
S 18
 
1.6%
, 17
 
1.5%
) 16
 
1.4%
( 16
 
1.4%
R 4
 
0.3%
C 4
 
0.3%
O 4
 
0.3%
- 2
 
0.2%
Other values (4) 8
 
0.7%
Hangul
ValueCountFrequency (%)
339
 
7.5%
154
 
3.4%
149
 
3.3%
143
 
3.2%
141
 
3.1%
137
 
3.0%
130
 
2.9%
121
 
2.7%
120
 
2.6%
112
 
2.5%
Other values (143) 2983
65.9%

제품명
Text

UNIQUE 

Distinct453
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T00:32:44.340511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length15.825607
Min length9

Characters and Unicode

Total characters7169
Distinct characters390
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

Unique453 ?
Unique (%)100.0%

Sample

1st row빅에어쿠션(2023년)
2nd row벌집하이브방석(2023년)
3rd rowEG-Pad(2023년)
4th row젤트론쿠션싱글(2023년)
5th row젤트론쿠션더블(2023년)
ValueCountFrequency (%)
빅에어쿠션(2023년 1
 
0.2%
씨토크영상스크린폰(2023년 1
 
0.2%
27인치ir터치모니터(2023년 1
 
0.2%
강한손확대터치모니터32인치(2023년 1
 
0.2%
32인치ir터치모니터(2023년 1
 
0.2%
27인치멀티확대터치모니터tv(2023년 1
 
0.2%
24인치멀티확대터치모니터tv(2023년 1
 
0.2%
강한손티티(2023년 1
 
0.2%
스마트지킴이2(2023년 1
 
0.2%
스마트지킴이(2023년 1
 
0.2%
Other values (445) 445
97.8%
2023-12-13T00:32:44.872374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 976
 
13.6%
0 536
 
7.5%
( 477
 
6.7%
) 477
 
6.7%
3 472
 
6.6%
453
 
6.3%
139
 
1.9%
1 129
 
1.8%
115
 
1.6%
104
 
1.5%
Other values (380) 3291
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3245
45.3%
Decimal Number 2193
30.6%
Uppercase Letter 506
 
7.1%
Open Punctuation 477
 
6.7%
Close Punctuation 477
 
6.7%
Lowercase Letter 130
 
1.8%
Connector Punctuation 83
 
1.2%
Dash Punctuation 49
 
0.7%
Other Punctuation 7
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
453
 
14.0%
139
 
4.3%
115
 
3.5%
104
 
3.2%
95
 
2.9%
71
 
2.2%
63
 
1.9%
54
 
1.7%
51
 
1.6%
51
 
1.6%
Other values (315) 2049
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 54
 
10.7%
D 41
 
8.1%
H 38
 
7.5%
T 38
 
7.5%
P 36
 
7.1%
E 36
 
7.1%
L 30
 
5.9%
A 27
 
5.3%
R 24
 
4.7%
C 20
 
4.0%
Other values (16) 162
32.0%
Lowercase Letter
ValueCountFrequency (%)
a 15
11.5%
r 14
10.8%
o 13
10.0%
l 11
 
8.5%
i 11
 
8.5%
e 10
 
7.7%
t 9
 
6.9%
n 7
 
5.4%
c 6
 
4.6%
b 5
 
3.8%
Other values (11) 29
22.3%
Decimal Number
ValueCountFrequency (%)
2 976
44.5%
0 536
24.4%
3 472
21.5%
1 129
 
5.9%
4 20
 
0.9%
6 16
 
0.7%
7 14
 
0.6%
9 13
 
0.6%
5 12
 
0.5%
8 5
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 5
71.4%
& 1
 
14.3%
. 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 477
100.0%
Close Punctuation
ValueCountFrequency (%)
) 477
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3288
45.9%
Hangul 3245
45.3%
Latin 636
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
453
 
14.0%
139
 
4.3%
115
 
3.5%
104
 
3.2%
95
 
2.9%
71
 
2.2%
63
 
1.9%
54
 
1.7%
51
 
1.6%
51
 
1.6%
Other values (315) 2049
63.1%
Latin
ValueCountFrequency (%)
S 54
 
8.5%
D 41
 
6.4%
H 38
 
6.0%
T 38
 
6.0%
P 36
 
5.7%
E 36
 
5.7%
L 30
 
4.7%
A 27
 
4.2%
R 24
 
3.8%
C 20
 
3.1%
Other values (37) 292
45.9%
Common
ValueCountFrequency (%)
2 976
29.7%
0 536
16.3%
( 477
14.5%
) 477
14.5%
3 472
14.4%
1 129
 
3.9%
_ 83
 
2.5%
- 49
 
1.5%
4 20
 
0.6%
6 16
 
0.5%
Other values (8) 53
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3924
54.7%
Hangul 3245
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 976
24.9%
0 536
13.7%
( 477
12.2%
) 477
12.2%
3 472
12.0%
1 129
 
3.3%
_ 83
 
2.1%
S 54
 
1.4%
- 49
 
1.2%
D 41
 
1.0%
Other values (55) 630
16.1%
Hangul
ValueCountFrequency (%)
453
 
14.0%
139
 
4.3%
115
 
3.5%
104
 
3.2%
95
 
2.9%
71
 
2.2%
63
 
1.9%
54
 
1.7%
51
 
1.6%
51
 
1.6%
Other values (315) 2049
63.1%
Distinct124
Distinct (%)27.4%
Missing1
Missing (%)0.2%
Memory size3.7 KiB
2023-12-13T00:32:45.171065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length7.7831858
Min length3

Characters and Unicode

Total characters3518
Distinct characters189
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

Unique42 ?
Unique (%)9.3%

Sample

1st row썬메디테크
2nd row㈜알에스케어서비스
3rd row㈜에고테크
4th row㈜에고테크
5th row㈜에고테크
ValueCountFrequency (%)
주식회사 41
 
8.2%
㈜토탈모빌리티 34
 
6.8%
재)파라다이스복지재단 24
 
4.8%
㈜헨디인터내셔날월드 23
 
4.6%
복지프랜드 19
 
3.8%
주)엘피케이에스 17
 
3.4%
바투비젼 15
 
3.0%
셀바스헬스케어 12
 
2.4%
네오엘에프엔 10
 
2.0%
주)에고테크 10
 
2.0%
Other values (116) 297
59.2%
2023-12-13T00:32:45.644180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
5.1%
153
 
4.3%
( 145
 
4.1%
) 145
 
4.1%
136
 
3.9%
131
 
3.7%
105
 
3.0%
76
 
2.2%
74
 
2.1%
70
 
2.0%
Other values (179) 2304
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3031
86.2%
Open Punctuation 145
 
4.1%
Close Punctuation 145
 
4.1%
Other Symbol 131
 
3.7%
Space Separator 51
 
1.4%
Lowercase Letter 8
 
0.2%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
179
 
5.9%
153
 
5.0%
136
 
4.5%
105
 
3.5%
76
 
2.5%
74
 
2.4%
70
 
2.3%
69
 
2.3%
68
 
2.2%
68
 
2.2%
Other values (166) 2033
67.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
H 2
28.6%
T 1
14.3%
C 1
14.3%
I 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
y 2
25.0%
m 2
25.0%
n 2
25.0%
c 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Other Symbol
ValueCountFrequency (%)
131
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3162
89.9%
Common 341
 
9.7%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
179
 
5.7%
153
 
4.8%
136
 
4.3%
131
 
4.1%
105
 
3.3%
76
 
2.4%
74
 
2.3%
70
 
2.2%
69
 
2.2%
68
 
2.2%
Other values (167) 2101
66.4%
Latin
ValueCountFrequency (%)
M 2
13.3%
y 2
13.3%
H 2
13.3%
m 2
13.3%
n 2
13.3%
c 2
13.3%
T 1
6.7%
C 1
6.7%
I 1
6.7%
Common
ValueCountFrequency (%)
( 145
42.5%
) 145
42.5%
51
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3031
86.2%
ASCII 356
 
10.1%
None 131
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
179
 
5.9%
153
 
5.0%
136
 
4.5%
105
 
3.5%
76
 
2.5%
74
 
2.4%
70
 
2.3%
69
 
2.3%
68
 
2.2%
68
 
2.2%
Other values (166) 2033
67.1%
ASCII
ValueCountFrequency (%)
( 145
40.7%
) 145
40.7%
51
 
14.3%
M 2
 
0.6%
y 2
 
0.6%
H 2
 
0.6%
m 2
 
0.6%
n 2
 
0.6%
c 2
 
0.6%
T 1
 
0.3%
Other values (2) 2
 
0.6%
None
ValueCountFrequency (%)
131
100.0%

장애유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
지체장애
256 
시각장애
128 
청각장애
40 
언어장애
 
19
<NA>
 
6
Other values (2)
 
4

Length

Max length5
Median length4
Mean length4.0066225
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
지체장애 256
56.5%
시각장애 128
28.3%
청각장애 40
 
8.8%
언어장애 19
 
4.2%
<NA> 6
 
1.3%
자폐성장애 3
 
0.7%
지적장애 1
 
0.2%

Length

2023-12-13T00:32:45.818377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:45.973310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지체장애 256
56.5%
시각장애 128
28.3%
청각장애 40
 
8.8%
언어장애 19
 
4.2%
na 6
 
1.3%
자폐성장애 3
 
0.7%
지적장애 1
 
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size585.0 B
True
378 
False
75 
ValueCountFrequency (%)
True 378
83.4%
False 75
 
16.6%
2023-12-13T00:32:46.127495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사후관리
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2
453 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 453
100.0%

Length

2023-12-13T00:32:46.250123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:32:46.367564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 453
100.0%

제한연수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2560706
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-13T00:32:46.482853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum8
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.91966689
Coefficient of variation (CV)0.21608356
Kurtosis0.10756049
Mean4.2560706
Median Absolute Deviation (MAD)1
Skewness-0.11796208
Sum1928
Variance0.84578718
MonotonicityNot monotonic
2023-12-13T00:32:46.626619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 204
45.0%
4 125
27.6%
3 104
23.0%
6 11
 
2.4%
2 7
 
1.5%
8 2
 
0.4%
ValueCountFrequency (%)
2 7
 
1.5%
3 104
23.0%
4 125
27.6%
5 204
45.0%
6 11
 
2.4%
8 2
 
0.4%
ValueCountFrequency (%)
8 2
 
0.4%
6 11
 
2.4%
5 204
45.0%
4 125
27.6%
3 104
23.0%
2 7
 
1.5%

Interactions

2023-12-13T00:32:40.814231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:32:40.611072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:32:40.932233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:32:40.701622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:32:46.738032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품코드기기구분대분류중분류소분류장애유형지원여부제한연수
제품코드1.0000.9791.0001.0001.0000.7950.1090.832
기기구분0.9791.0000.9790.9990.9930.6250.0000.781
대분류1.0000.9791.0001.0001.0000.7950.1130.833
중분류1.0000.9991.0001.0001.0000.9050.0000.972
소분류1.0000.9931.0001.0001.0000.9510.0001.000
장애유형0.7950.6250.7950.9050.9511.0000.0000.790
지원여부0.1090.0000.1130.0000.0000.0001.0000.028
제한연수0.8320.7810.8330.9721.0000.7900.0281.000
2023-12-13T00:32:46.884531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원여부중분류기기구분대분류장애유형
지원여부1.0000.0000.0000.0810.000
중분류0.0001.0000.9480.9770.676
기기구분0.0000.9481.0000.8670.453
대분류0.0810.9770.8671.0000.404
장애유형0.0000.6760.4530.4041.000
2023-12-13T00:32:47.018784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품코드제한연수기기구분대분류중분류장애유형지원여부
제품코드1.000-0.0370.8671.0000.9770.4040.081
제한연수-0.0371.0000.5840.4480.8560.3980.019
기기구분0.8670.5841.0000.8670.9480.4530.000
대분류1.0000.4480.8671.0000.9770.4040.081
중분류0.9770.8560.9480.9771.0000.6760.000
장애유형0.4040.3980.4530.4040.6761.0000.000
지원여부0.0810.0190.0000.0810.0000.0001.000

Missing values

2023-12-13T00:32:41.108249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:32:41.342450image/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

제품코드지원구분기기구분대분류중분류소분류제품명제조업체장애유형지원여부사후관리제한연수
0433030001고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석빅에어쿠션(2023년)썬메디테크지체장애Y23
1433030002고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석벌집하이브방석(2023년)㈜알에스케어서비스지체장애Y23
2433030003고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석EG-Pad(2023년)㈜에고테크지체장애Y23
3433030004고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석젤트론쿠션싱글(2023년)㈜에고테크지체장애Y23
4433030005고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석젤트론쿠션더블(2023년)㈜에고테크지체장애Y23
5433030006고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석브릭에어쿠션(2023년)주식회사 네오에이블지체장애Y23
6433030007고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석로호쿼드로방석(2023년)케어라이프코리아㈜지체장애Y23
7433030008고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석네오다이나믹방석(2023년)(주)휠라인지체장애N23
8433030009고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석AC-101(전동욕창방석)(2023년)주식회사 네오에이블지체장애Y23
9433030010고용유지상용(신규)신체 및 심리 기능의 측정용 보조공학기기욕창예방용욕창예방방석컨폼공기방석(2023년)㈜에이블라이프지체장애Y23
제품코드지원구분기기구분대분류중분류소분류제품명제조업체장애유형지원여부사후관리제한연수
4432806060005고용유지상용(신규)직무 활동 및 참여용 보조공학기기작업장 사물 운반용 보조공학기기수동식 리프팅 운반차전동소형지게차(2023년_1차)티엠에스지체장애Y25
4442821090001고용유지상용(신규)직무 활동 및 참여용 보조공학기기행정, 자료 저장 및 관리용 보조공학기기사무 및 업무용 기기장애인용POS(2023년)(주)건융아이비씨언어장애Y24
4452821090002고용유지상용(신규)직무 활동 및 참여용 보조공학기기행정, 자료 저장 및 관리용 보조공학기기사무 및 업무용 기기강한손안마사랑(2023년)강한손시각장애Y24
4462821090004고용유지상용(신규)직무 활동 및 참여용 보조공학기기행정, 자료 저장 및 관리용 보조공학기기사무 및 업무용 기기강한손안마사랑울트라(2023년_1차)주식회사 엠브이아이지체장애Y24
4472824030001고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비허기(2023년)(주)돌봄드림지적장애Y23
4482824030002고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비마누센사(2023년)케어라이프코리아㈜지체장애Y23
4492824030003고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비경수용휠체어글러브(2023년)(주)휠라인지체장애Y23
4502824030005고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비강한손엄지서포터(2023년)주식회사강한손시각장애Y23
4512824030006고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비강한손휠체어글러브(2023년)주식회사강한손지체장애Y23
4522824030007고용유지상용(신규)직무 활동 및 참여용 보조공학기기건강보호 및 안전용 보조공학기기작업용 개인 보호 장비허기베이직(2023년)㈜돌봄드림자폐성장애Y23