Overview

Dataset statistics

Number of variables11
Number of observations442
Missing cells1321
Missing cells (%)27.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.1 KiB
Average record size in memory88.3 B

Variable types

Text7
DateTime2
Categorical2

Dataset

Description한국산업안전보건공단 인증원에서 제공하는 보호구 인증 현황으로 인증품명, 안전인증번호, 제조사업장, 형식 모델, 인증품목명,정격 등을 확인할 수 있도록 보호구에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15087449/fileData.do

Alerts

인증취소반납 사유 has constant value ""Constant
취소반납 일자 has constant value ""Constant
인증품명 is highly overall correlated with 품명High correlation
품명 is highly overall correlated with 인증품명High correlation
정격 has 439 (99.3%) missing valuesMissing
인증취소반납 사유 has 441 (99.8%) missing valuesMissing
취소반납 일자 has 441 (99.8%) missing valuesMissing
인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:46:47.416974
Analysis finished2023-12-12 05:46:48.449066
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청사업장명
Text

Distinct115
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:46:48.642113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length20.271493
Min length2

Characters and Unicode

Total characters8960
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

Unique35 ?
Unique (%)7.9%

Sample

1st rowSeveco Global Limited
2nd rowRPB Safety LLC
3rd rowRPB Safety LLC
4th rowWUHAN WELHEL PHOTO ELECTRIC CO.,LTD
5th rowWUHAN WELHEL PHOTO ELECTRIC CO.,LTD
ValueCountFrequency (%)
co 114
 
8.8%
ltd 114
 
8.8%
co.,ltd 42
 
3.2%
shoes 41
 
3.1%
vina 34
 
2.6%
pt 24
 
1.8%
young 20
 
1.5%
mediprotek 18
 
1.4%
international 17
 
1.3%
주식회사 16
 
1.2%
Other values (196) 862
66.2%
2023-12-12T14:46:49.047874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
860
 
9.6%
O 391
 
4.4%
N 351
 
3.9%
I 293
 
3.3%
T 285
 
3.2%
A 275
 
3.1%
E 266
 
3.0%
L 249
 
2.8%
C 239
 
2.7%
o 236
 
2.6%
Other values (188) 5515
61.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3922
43.8%
Lowercase Letter 2093
23.4%
Other Letter 1327
 
14.8%
Space Separator 860
 
9.6%
Other Punctuation 401
 
4.5%
Close Punctuation 163
 
1.8%
Open Punctuation 163
 
1.8%
Decimal Number 30
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%
Uppercase Letter
ValueCountFrequency (%)
O 391
 
10.0%
N 351
 
8.9%
I 293
 
7.5%
T 285
 
7.3%
A 275
 
7.0%
E 266
 
6.8%
L 249
 
6.3%
C 239
 
6.1%
D 214
 
5.5%
S 211
 
5.4%
Other values (16) 1148
29.3%
Lowercase Letter
ValueCountFrequency (%)
o 236
11.3%
n 222
 
10.6%
a 203
 
9.7%
e 164
 
7.8%
t 163
 
7.8%
i 146
 
7.0%
u 115
 
5.5%
r 102
 
4.9%
h 91
 
4.3%
d 89
 
4.3%
Other values (15) 562
26.9%
Other Punctuation
ValueCountFrequency (%)
. 212
52.9%
, 167
41.6%
& 22
 
5.5%
Decimal Number
ValueCountFrequency (%)
3 19
63.3%
2 7
 
23.3%
1 4
 
13.3%
Space Separator
ValueCountFrequency (%)
860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6015
67.1%
Common 1618
 
18.1%
Hangul 1327
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%
Latin
ValueCountFrequency (%)
O 391
 
6.5%
N 351
 
5.8%
I 293
 
4.9%
T 285
 
4.7%
A 275
 
4.6%
E 266
 
4.4%
L 249
 
4.1%
C 239
 
4.0%
o 236
 
3.9%
n 222
 
3.7%
Other values (41) 3208
53.3%
Common
ValueCountFrequency (%)
860
53.2%
. 212
 
13.1%
, 167
 
10.3%
) 163
 
10.1%
( 163
 
10.1%
& 22
 
1.4%
3 19
 
1.2%
2 7
 
0.4%
1 4
 
0.2%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7633
85.2%
Hangul 1327
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
860
 
11.3%
O 391
 
5.1%
N 351
 
4.6%
I 293
 
3.8%
T 285
 
3.7%
A 275
 
3.6%
E 266
 
3.5%
L 249
 
3.3%
C 239
 
3.1%
o 236
 
3.1%
Other values (51) 4188
54.9%
Hangul
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%

제조사업장명
Text

Distinct115
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:46:49.291104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length20.271493
Min length2

Characters and Unicode

Total characters8960
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

Unique35 ?
Unique (%)7.9%

Sample

1st rowSeveco Global Limited
2nd rowRPB Safety LLC
3rd rowRPB Safety LLC
4th rowWUHAN WELHEL PHOTO ELECTRIC CO.,LTD
5th rowWUHAN WELHEL PHOTO ELECTRIC CO.,LTD
ValueCountFrequency (%)
co 114
 
8.8%
ltd 114
 
8.8%
co.,ltd 42
 
3.2%
shoes 41
 
3.1%
vina 34
 
2.6%
pt 24
 
1.8%
young 20
 
1.5%
mediprotek 18
 
1.4%
international 17
 
1.3%
주식회사 16
 
1.2%
Other values (196) 862
66.2%
2023-12-12T14:46:49.850771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
860
 
9.6%
O 391
 
4.4%
N 351
 
3.9%
I 293
 
3.3%
T 285
 
3.2%
A 275
 
3.1%
E 266
 
3.0%
L 249
 
2.8%
C 239
 
2.7%
o 236
 
2.6%
Other values (188) 5515
61.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3922
43.8%
Lowercase Letter 2093
23.4%
Other Letter 1327
 
14.8%
Space Separator 860
 
9.6%
Other Punctuation 401
 
4.5%
Close Punctuation 163
 
1.8%
Open Punctuation 163
 
1.8%
Decimal Number 30
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%
Uppercase Letter
ValueCountFrequency (%)
O 391
 
10.0%
N 351
 
8.9%
I 293
 
7.5%
T 285
 
7.3%
A 275
 
7.0%
E 266
 
6.8%
L 249
 
6.3%
C 239
 
6.1%
D 214
 
5.5%
S 211
 
5.4%
Other values (16) 1148
29.3%
Lowercase Letter
ValueCountFrequency (%)
o 236
11.3%
n 222
 
10.6%
a 203
 
9.7%
e 164
 
7.8%
t 163
 
7.8%
i 146
 
7.0%
u 115
 
5.5%
r 102
 
4.9%
h 91
 
4.3%
d 89
 
4.3%
Other values (15) 562
26.9%
Other Punctuation
ValueCountFrequency (%)
. 212
52.9%
, 167
41.6%
& 22
 
5.5%
Decimal Number
ValueCountFrequency (%)
3 19
63.3%
2 7
 
23.3%
1 4
 
13.3%
Space Separator
ValueCountFrequency (%)
860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6015
67.1%
Common 1618
 
18.1%
Hangul 1327
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%
Latin
ValueCountFrequency (%)
O 391
 
6.5%
N 351
 
5.8%
I 293
 
4.9%
T 285
 
4.7%
A 275
 
4.6%
E 266
 
4.4%
L 249
 
4.1%
C 239
 
4.0%
o 236
 
3.9%
n 222
 
3.7%
Other values (41) 3208
53.3%
Common
ValueCountFrequency (%)
860
53.2%
. 212
 
13.1%
, 167
 
10.3%
) 163
 
10.1%
( 163
 
10.1%
& 22
 
1.4%
3 19
 
1.2%
2 7
 
0.4%
1 4
 
0.2%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7633
85.2%
Hangul 1327
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
860
 
11.3%
O 391
 
5.1%
N 351
 
4.6%
I 293
 
3.8%
T 285
 
3.7%
A 275
 
3.6%
E 266
 
3.5%
L 249
 
3.3%
C 239
 
3.1%
o 236
 
3.1%
Other values (51) 4188
54.9%
Hangul
ValueCountFrequency (%)
주 151
 
11.4%
사 51
 
3.8%
회 49
 
3.7%
스 48
 
3.6%
텍 43
 
3.2%
이 39
 
2.9%
에 37
 
2.8%
크 35
 
2.6%
식 33
 
2.5%
린 29
 
2.2%
Other values (127) 812
61.2%

인증번호
Text

UNIQUE 

Distinct442
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:46:50.182662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters5746
Distinct characters25
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

Unique442 ?
Unique (%)100.0%

Sample

1st row23-AV4Cb-0003
2nd row23-AV4Ca-0006
3rd row23-AV4Ca-0005
4th row23-AV4Ca-0003
5th row23-AV4Ca-0002
ValueCountFrequency (%)
23-av4cb-0003 1
 
0.2%
23-av2cy-0024 1
 
0.2%
23-av2cy-0010 1
 
0.2%
23-av2cy-0011 1
 
0.2%
23-av2cy-0012 1
 
0.2%
23-av2cy-0013 1
 
0.2%
23-av2cy-0014 1
 
0.2%
23-av2cy-0015 1
 
0.2%
23-av2cy-0016 1
 
0.2%
23-av2cy-0017 1
 
0.2%
Other values (432) 432
97.7%
2023-12-12T14:46:50.663106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 947
16.5%
- 884
15.4%
2 757
13.2%
3 550
9.6%
V 443
7.7%
A 442
7.7%
C 442
7.7%
4 328
 
5.7%
1 185
 
3.2%
R 165
 
2.9%
Other values (15) 603
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3094
53.8%
Uppercase Letter 1756
30.6%
Dash Punctuation 884
 
15.4%
Lowercase Letter 12
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
V 443
25.2%
A 442
25.2%
C 442
25.2%
R 165
 
9.4%
T 82
 
4.7%
Y 64
 
3.6%
X 44
 
2.5%
Z 42
 
2.4%
U 16
 
0.9%
Q 8
 
0.5%
Other values (2) 8
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 947
30.6%
2 757
24.5%
3 550
17.8%
4 328
 
10.6%
1 185
 
6.0%
5 83
 
2.7%
6 77
 
2.5%
7 60
 
1.9%
8 57
 
1.8%
9 50
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
66.7%
b 4
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3978
69.2%
Latin 1768
30.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
V 443
25.1%
A 442
25.0%
C 442
25.0%
R 165
 
9.3%
T 82
 
4.6%
Y 64
 
3.6%
X 44
 
2.5%
Z 42
 
2.4%
U 16
 
0.9%
a 8
 
0.5%
Other values (4) 20
 
1.1%
Common
ValueCountFrequency (%)
0 947
23.8%
- 884
22.2%
2 757
19.0%
3 550
13.8%
4 328
 
8.2%
1 185
 
4.7%
5 83
 
2.1%
6 77
 
1.9%
7 60
 
1.5%
8 57
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 947
16.5%
- 884
15.4%
2 757
13.2%
3 550
9.6%
V 443
7.7%
A 442
7.7%
C 442
7.7%
4 328
 
5.7%
1 185
 
3.2%
R 165
 
2.9%
Other values (15) 603
10.5%

인증일자
Date

Distinct82
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2022-12-14 00:00:00
Maximum2023-07-18 00:00:00
2023-12-12T14:46:50.860765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:51.055651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증품명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
안전화
165 
방진마스크
82 
안전대
64 
보호복
44 
보안경
42 
Other values (7)
45 

Length

Max length8
Median length3
Mean length3.6108597
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row방음용보호구
2nd row용접용보안면
3rd row용접용보안면
4th row용접용보안면
5th row용접용보안면

Common Values

ValueCountFrequency (%)
안전화 165
37.3%
방진마스크 82
18.6%
안전대 64
 
14.5%
보호복 44
 
10.0%
보안경 42
 
9.5%
방독마스크 16
 
3.6%
용접용보안면 8
 
1.8%
안전모 8
 
1.8%
전동식호흡보호구 7
 
1.6%
방음용보호구 4
 
0.9%
Other values (2) 2
 
0.5%

Length

2023-12-12T14:46:51.198088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전화 165
37.3%
방진마스크 82
18.6%
안전대 64
 
14.5%
보호복 44
 
10.0%
보안경 42
 
9.5%
방독마스크 16
 
3.6%
용접용보안면 8
 
1.8%
안전모 8
 
1.8%
전동식호흡보호구 7
 
1.6%
방음용보호구 4
 
0.9%
Other values (2) 2
 
0.5%

품명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
안전화
165 
방진마스크
81 
안전대
64 
보호복
44 
보안경
42 
Other values (7)
46 

Length

Max length8
Median length3
Mean length3.6108597
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row방음용보호구
2nd row용접용보안면
3rd row용접용보안면
4th row용접용보안면
5th row용접용보안면

Common Values

ValueCountFrequency (%)
안전화 165
37.3%
방진마스크 81
18.3%
안전대 64
 
14.5%
보호복 44
 
10.0%
보안경 42
 
9.5%
방독마스크 17
 
3.8%
용접용보안면 8
 
1.8%
안전모 8
 
1.8%
전동식호흡보호구 7
 
1.6%
방음용보호구 4
 
0.9%
Other values (2) 2
 
0.5%

Length

2023-12-12T14:46:51.359349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전화 165
37.3%
방진마스크 81
18.3%
안전대 64
 
14.5%
보호복 44
 
10.0%
보안경 42
 
9.5%
방독마스크 17
 
3.8%
용접용보안면 8
 
1.8%
안전모 8
 
1.8%
전동식호흡보호구 7
 
1.6%
방음용보호구 4
 
0.9%
Other values (2) 2
 
0.5%

형식모델
Text

Distinct435
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:46:51.647891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length10.056561
Min length2

Characters and Unicode

Total characters4445
Distinct characters157
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique428 ?
Unique (%)96.8%

Sample

1st rowIMPACT PRO
2nd row15-010-11-CE
3rd row16-000-11-CE+16-670
4th row파노라마 실버 단차광 #12
5th row파노라마 실버 단차광 #11
ValueCountFrequency (%)
ff-800시리즈 9
 
1.6%
mso 9
 
1.6%
guardwear 7
 
1.2%
tychemⓡ 6
 
1.0%
dupont 6
 
1.0%
smart 4
 
0.7%
6000 3
 
0.5%
gy 3
 
0.5%
plus 3
 
0.5%
afh300104 3
 
0.5%
Other values (490) 527
90.9%
2023-12-12T14:46:52.138359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 521
 
11.7%
- 360
 
8.1%
1 304
 
6.8%
S 229
 
5.2%
2 191
 
4.3%
140
 
3.1%
3 139
 
3.1%
4 128
 
2.9%
5 113
 
2.5%
K 104
 
2.3%
Other values (147) 2216
49.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1648
37.1%
Uppercase Letter 1535
34.5%
Dash Punctuation 360
 
8.1%
Other Letter 259
 
5.8%
Lowercase Letter 244
 
5.5%
Space Separator 140
 
3.1%
Other Punctuation 76
 
1.7%
Open Punctuation 63
 
1.4%
Close Punctuation 63
 
1.4%
Math Symbol 50
 
1.1%
Other values (2) 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 13
 
5.0%
리 13
 
5.0%
전 13
 
5.0%
방 11
 
4.2%
형 11
 
4.2%
면 10
 
3.9%
즈 10
 
3.9%
마 10
 
3.9%
열 9
 
3.5%
드 8
 
3.1%
Other values (78) 151
58.3%
Uppercase Letter
ValueCountFrequency (%)
S 229
 
14.9%
K 104
 
6.8%
M 81
 
5.3%
C 81
 
5.3%
R 81
 
5.3%
T 80
 
5.2%
G 78
 
5.1%
V 75
 
4.9%
A 70
 
4.6%
F 68
 
4.4%
Other values (16) 588
38.3%
Lowercase Letter
ValueCountFrequency (%)
e 45
18.4%
r 32
13.1%
a 21
8.6%
u 19
 
7.8%
o 17
 
7.0%
d 15
 
6.1%
t 15
 
6.1%
p 14
 
5.7%
h 9
 
3.7%
m 9
 
3.7%
Other values (11) 48
19.7%
Decimal Number
ValueCountFrequency (%)
0 521
31.6%
1 304
18.4%
2 191
 
11.6%
3 139
 
8.4%
4 128
 
7.8%
5 113
 
6.9%
6 100
 
6.1%
7 66
 
4.0%
8 46
 
2.8%
9 40
 
2.4%
Other Punctuation
ValueCountFrequency (%)
# 32
42.1%
. 29
38.2%
/ 13
17.1%
* 1
 
1.3%
, 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Math Symbol
ValueCountFrequency (%)
+ 50
100.0%
Other Symbol
ValueCountFrequency (%)
ⓡ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2406
54.1%
Latin 1780
40.0%
Hangul 259
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 13
 
5.0%
리 13
 
5.0%
전 13
 
5.0%
방 11
 
4.2%
형 11
 
4.2%
면 10
 
3.9%
즈 10
 
3.9%
마 10
 
3.9%
열 9
 
3.5%
드 8
 
3.1%
Other values (78) 151
58.3%
Latin
ValueCountFrequency (%)
S 229
 
12.9%
K 104
 
5.8%
M 81
 
4.6%
C 81
 
4.6%
R 81
 
4.6%
T 80
 
4.5%
G 78
 
4.4%
V 75
 
4.2%
A 70
 
3.9%
F 68
 
3.8%
Other values (38) 833
46.8%
Common
ValueCountFrequency (%)
0 521
21.7%
- 360
15.0%
1 304
12.6%
2 191
 
7.9%
140
 
5.8%
3 139
 
5.8%
4 128
 
5.3%
5 113
 
4.7%
6 100
 
4.2%
7 66
 
2.7%
Other values (11) 344
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4179
94.0%
Hangul 259
 
5.8%
Enclosed Alphanum 6
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 521
 
12.5%
- 360
 
8.6%
1 304
 
7.3%
S 229
 
5.5%
2 191
 
4.6%
140
 
3.4%
3 139
 
3.3%
4 128
 
3.1%
5 113
 
2.7%
K 104
 
2.5%
Other values (57) 1950
46.7%
Hangul
ValueCountFrequency (%)
시 13
 
5.0%
리 13
 
5.0%
전 13
 
5.0%
방 11
 
4.2%
형 11
 
4.2%
면 10
 
3.9%
즈 10
 
3.9%
마 10
 
3.9%
열 9
 
3.5%
드 8
 
3.1%
Other values (78) 151
58.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓡ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

용량등급
Text

Distinct173
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:46:52.406651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length55
Mean length15.579186
Min length2

Characters and Unicode

Total characters6886
Distinct characters174
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

Unique122 ?
Unique (%)27.6%

Sample

1st rowEM
2nd row자동용접필터형 #3(헬멧형, #9-#13)
3rd row자동용접필터형 #3(헬멧형, #9-#13)
4th row자동용접필터형 #3 (헬멧형, #12)
5th row자동용접필터형 #3 (헬멧형, #11)
ValueCountFrequency (%)
안면부여과식 73
 
7.2%
보통작업용(중단화 56
 
5.5%
안전그네식 51
 
5.0%
1개걸이용 49
 
4.8%
보통작업용(단화 44
 
4.3%
1급 43
 
4.2%
경작업용(단화 32
 
3.2%
2급 29
 
2.9%
전신보호복 24
 
2.4%
것 21
 
2.1%
Other values (177) 592
58.4%
2023-12-12T14:46:52.835403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
573
 
8.3%
, 330
 
4.8%
( 323
 
4.7%
) 323
 
4.7%
용 308
 
4.5%
화 220
 
3.2%
식 205
 
3.0%
1 173
 
2.5%
업 165
 
2.4%
작 165
 
2.4%
Other values (164) 4101
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4649
67.5%
Space Separator 573
 
8.3%
Decimal Number 494
 
7.2%
Other Punctuation 467
 
6.8%
Open Punctuation 323
 
4.7%
Close Punctuation 323
 
4.7%
Uppercase Letter 34
 
0.5%
Lowercase Letter 14
 
0.2%
Dash Punctuation 6
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 308
 
6.6%
화 220
 
4.7%
식 205
 
4.4%
업 165
 
3.5%
작 165
 
3.5%
급 165
 
3.5%
단 157
 
3.4%
안 152
 
3.3%
보 150
 
3.2%
전 112
 
2.4%
Other values (136) 2850
61.3%
Decimal Number
ValueCountFrequency (%)
1 173
35.0%
2 112
22.7%
3 62
 
12.6%
0 42
 
8.5%
6 40
 
8.1%
4 21
 
4.3%
5 20
 
4.0%
9 13
 
2.6%
7 6
 
1.2%
8 5
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
E 12
35.3%
A 8
23.5%
B 8
23.5%
P 3
 
8.8%
D 1
 
2.9%
M 1
 
2.9%
N 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 330
70.7%
# 63
 
13.5%
% 40
 
8.6%
. 34
 
7.3%
Lowercase Letter
ValueCountFrequency (%)
m 13
92.9%
a 1
 
7.1%
Space Separator
ValueCountFrequency (%)
573
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 323
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4649
67.5%
Common 2189
31.8%
Latin 48
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 308
 
6.6%
화 220
 
4.7%
식 205
 
4.4%
업 165
 
3.5%
작 165
 
3.5%
급 165
 
3.5%
단 157
 
3.4%
안 152
 
3.3%
보 150
 
3.2%
전 112
 
2.4%
Other values (136) 2850
61.3%
Common
ValueCountFrequency (%)
573
26.2%
, 330
15.1%
( 323
14.8%
) 323
14.8%
1 173
 
7.9%
2 112
 
5.1%
# 63
 
2.9%
3 62
 
2.8%
0 42
 
1.9%
% 40
 
1.8%
Other values (9) 148
 
6.8%
Latin
ValueCountFrequency (%)
m 13
27.1%
E 12
25.0%
A 8
16.7%
B 8
16.7%
P 3
 
6.2%
D 1
 
2.1%
M 1
 
2.1%
N 1
 
2.1%
a 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4649
67.5%
ASCII 2237
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
573
25.6%
, 330
14.8%
( 323
14.4%
) 323
14.4%
1 173
 
7.7%
2 112
 
5.0%
# 63
 
2.8%
3 62
 
2.8%
0 42
 
1.9%
% 40
 
1.8%
Other values (18) 196
 
8.8%
Hangul
ValueCountFrequency (%)
용 308
 
6.6%
화 220
 
4.7%
식 205
 
4.4%
업 165
 
3.5%
작 165
 
3.5%
급 165
 
3.5%
단 157
 
3.4%
안 152
 
3.3%
보 150
 
3.2%
전 112
 
2.4%
Other values (136) 2850
61.3%

정격
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing439
Missing (%)99.3%
Memory size3.6 KiB
2023-12-12T14:46:53.003243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length1
Mean length6
Min length1

Characters and Unicode

Total characters18
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row미끄럼저항(세제1등급) 부적합
2nd row
3rd row
ValueCountFrequency (%)
미끄럼저항(세제1등급 1
50.0%
부적합 1
50.0%
2023-12-12T14:46:53.318427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
16.7%
미 1
 
5.6%
끄 1
 
5.6%
럼 1
 
5.6%
저 1
 
5.6%
항 1
 
5.6%
( 1
 
5.6%
세 1
 
5.6%
제 1
 
5.6%
1 1
 
5.6%
Other values (6) 6
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
66.7%
Space Separator 3
 
16.7%
Open Punctuation 1
 
5.6%
Decimal Number 1
 
5.6%
Close Punctuation 1
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 1
8.3%
끄 1
8.3%
럼 1
8.3%
저 1
8.3%
항 1
8.3%
세 1
8.3%
제 1
8.3%
등 1
8.3%
급 1
8.3%
부 1
8.3%
Other values (2) 2
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
66.7%
Common 6
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 1
8.3%
끄 1
8.3%
럼 1
8.3%
저 1
8.3%
항 1
8.3%
세 1
8.3%
제 1
8.3%
등 1
8.3%
급 1
8.3%
부 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
3
50.0%
( 1
 
16.7%
1 1
 
16.7%
) 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
66.7%
ASCII 6
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
50.0%
( 1
 
16.7%
1 1
 
16.7%
) 1
 
16.7%
Hangul
ValueCountFrequency (%)
미 1
8.3%
끄 1
8.3%
럼 1
8.3%
저 1
8.3%
항 1
8.3%
세 1
8.3%
제 1
8.3%
등 1
8.3%
급 1
8.3%
부 1
8.3%
Other values (2) 2
16.7%

인증취소반납 사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing441
Missing (%)99.8%
Memory size3.6 KiB
2023-12-12T14:46:53.468142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row확인심사/자진반납
ValueCountFrequency (%)
확인심사/자진반납 1
100.0%
2023-12-12T14:46:53.749032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
확 1
11.1%
인 1
11.1%
심 1
11.1%
사 1
11.1%
/ 1
11.1%
자 1
11.1%
진 1
11.1%
반 1
11.1%
납 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
88.9%
Other Punctuation 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
확 1
12.5%
인 1
12.5%
심 1
12.5%
사 1
12.5%
자 1
12.5%
진 1
12.5%
반 1
12.5%
납 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
88.9%
Common 1
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
확 1
12.5%
인 1
12.5%
심 1
12.5%
사 1
12.5%
자 1
12.5%
진 1
12.5%
반 1
12.5%
납 1
12.5%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
88.9%
ASCII 1
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
확 1
12.5%
인 1
12.5%
심 1
12.5%
사 1
12.5%
자 1
12.5%
진 1
12.5%
반 1
12.5%
납 1
12.5%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

취소반납 일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing441
Missing (%)99.8%
Memory size3.6 KiB
Minimum2023-07-11 00:00:00
Maximum2023-07-11 00:00:00
2023-12-12T14:46:53.885388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:53.999286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T14:46:54.084183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증일자인증품명품명정격
인증일자1.0000.9720.9720.000
인증품명0.9721.0001.000NaN
품명0.9721.0001.000NaN
정격0.000NaNNaN1.000
2023-12-12T14:46:54.189709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증품명품명
인증품명1.0000.997
품명0.9971.000
2023-12-12T14:46:54.289155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증품명품명
인증품명1.0000.997
품명0.9971.000

Missing values

2023-12-12T14:46:48.085628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:46:48.235951image/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.
2023-12-12T14:46:48.362721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

신청사업장명제조사업장명인증번호인증일자인증품명품명형식모델용량등급정격인증취소반납 사유취소반납 일자
0Seveco Global LimitedSeveco Global Limited23-AV4Cb-00032023-04-05방음용보호구방음용보호구IMPACT PROEM<NA><NA><NA>
1RPB Safety LLCRPB Safety LLC23-AV4Ca-00062023-06-21용접용보안면용접용보안면15-010-11-CE자동용접필터형 #3(헬멧형, #9-#13)<NA><NA><NA>
2RPB Safety LLCRPB Safety LLC23-AV4Ca-00052023-06-21용접용보안면용접용보안면16-000-11-CE+16-670자동용접필터형 #3(헬멧형, #9-#13)<NA><NA><NA>
3WUHAN WELHEL PHOTO ELECTRIC CO.,LTDWUHAN WELHEL PHOTO ELECTRIC CO.,LTD23-AV4Ca-00032023-05-02용접용보안면용접용보안면파노라마 실버 단차광 #12자동용접필터형 #3 (헬멧형, #12)<NA><NA><NA>
4WUHAN WELHEL PHOTO ELECTRIC CO.,LTDWUHAN WELHEL PHOTO ELECTRIC CO.,LTD23-AV4Ca-00022023-05-02용접용보안면용접용보안면파노라마 실버 단차광 #11자동용접필터형 #3 (헬멧형, #11)<NA><NA><NA>
53M(Gagnef, Sweden)3M(Gagnef, Sweden)23-AV4Ca-00012023-01-18용접용보안면용접용보안면Speedglas 100B자동용접필터형 #3(헬멧형, #10~#12)<NA><NA><NA>
6PROHERO GROUP CO., LTD.PROHERO GROUP CO., LTD.23-AV4CZ-00382023-06-29보안경보안경SG220-T자외선용(#3)<NA><NA><NA>
7Prohere Group Co.,LtdProhere Group Co.,Ltd23-AV4CZ-00372023-06-28보안경보안경SG210OTG-Y자외선용(#1.2)<NA><NA><NA>
8Prohere Group Co.,LtdProhere Group Co.,Ltd23-AV4CZ-00362023-06-28보안경보안경SG210-Y자외선용(#1.2)<NA><NA><NA>
9Prohere Group Co.,LtdProhere Group Co.,Ltd23-AV4CZ-00352023-06-28보안경보안경SG210-T자외선용(#3)<NA><NA><NA>
신청사업장명제조사업장명인증번호인증일자인증품명품명형식모델용량등급정격인증취소반납 사유취소반납 일자
432(주)슈올즈(주)슈올즈23-AV2CR-00232023-01-20안전화안전화SA-601보통작업용(단화)<NA><NA><NA>
433세일통영주식회사세일통영주식회사23-AV2CR-00222023-01-20안전화안전화SMART 605보통작업용(단화)<NA><NA><NA>
434세일통영주식회사세일통영주식회사23-AV2CR-00212023-01-20안전화안전화SMART 404보통작업용(단화)<NA><NA><NA>
435(주)백두(주)백두23-AV2CR-00182023-01-20안전화안전화ASTA-401D경작업용(단화) 1종 선심있는것<NA><NA><NA>
436유한회사태린세이프티인터내셔날유한회사태린세이프티인터내셔날23-AV2CR-00162023-01-20안전화안전화TR40경작업용(단화)<NA><NA><NA>
437(주)에이치비(주)에이치비23-AV2CR-00092023-01-18안전화안전화SF-500D보통작업용(중단화), 미끄럼방지 세제1등급<NA><NA><NA>
438머스트안전머스트안전23-AV2CQ-00082023-06-12안전모안전모MSGH-101ABE종(보안경 겸용)<NA><NA><NA>
439(주)에스탑(주)에스탑23-AV2CQ-00072023-06-12안전모안전모STGH-105ABE종(보안경 겸용)<NA><NA><NA>
440(주)코브인터내셔날(주)코브인터내셔날23-AV2CQ-00062023-05-31안전모안전모COVH-DWHDABE종<NA><NA><NA>
441대원안전(주)대원안전(주)23-AV2CQ-00052023-05-31안전모안전모DWHM-02ABE종(보안경겸용)<NA><NA><NA>