Overview

Dataset statistics

Number of variables9
Number of observations8303
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory583.9 KiB
Average record size in memory72.0 B

Variable types

Categorical3
DateTime1
Text5

Dataset

Description한국산업기술시험원 안전인증제품에 관한 정보입니다. 관련 인증정보(인증기관, 인증구분, 인증일자, 인증번호, 판정결과), 제품정보(제품분류, 제품명, 모델명) 및 제조사정보(제조사명) 등을 제공합니다.
URLhttps://www.data.go.kr/data/15095131/fileData.do

Alerts

인증기관 has constant value ""Constant
인증구분 has constant value ""Constant
판정 is highly imbalanced (93.1%)Imbalance

Reproduction

Analysis started2023-12-12 00:15:41.507757
Analysis finished2023-12-12 00:15:42.955953
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
한국산업기술시험원(KTL)
8303 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국산업기술시험원(KTL)
2nd row한국산업기술시험원(KTL)
3rd row한국산업기술시험원(KTL)
4th row한국산업기술시험원(KTL)
5th row한국산업기술시험원(KTL)

Common Values

ValueCountFrequency (%)
한국산업기술시험원(KTL) 8303
100.0%

Length

2023-12-12T09:15:43.011887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:15:43.335368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국산업기술시험원(ktl 8303
100.0%

인증구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
안전인증대상 전기용품
8303 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전인증대상 전기용품
2nd row안전인증대상 전기용품
3rd row안전인증대상 전기용품
4th row안전인증대상 전기용품
5th row안전인증대상 전기용품

Common Values

ValueCountFrequency (%)
안전인증대상 전기용품 8303
100.0%

Length

2023-12-12T09:15:43.423045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:15:43.505573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전인증대상 8303
50.0%
전기용품 8303
50.0%
Distinct246
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
Minimum2020-01-02 00:00:00
Maximum2020-12-31 00:00:00
2023-12-12T09:15:43.622061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:15:43.775919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct8300
Distinct (%)100.0%
Missing3
Missing (%)< 0.1%
Memory size65.0 KiB
2023-12-12T09:15:44.004336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length13.772048
Min length13

Characters and Unicode

Total characters114308
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8300 ?
Unique (%)100.0%

Sample

1st rowZM07014-18001
2nd rowSU07776-19001
3rd rowZW07052-19001
4th rowZW07052-19002
5th rowZU10491-16001A
ValueCountFrequency (%)
su08297-19011 1
 
< 0.1%
zm07014-18001 1
 
< 0.1%
su071430-20001a 1
 
< 0.1%
zu101069-20002 1
 
< 0.1%
sh07664-19001b 1
 
< 0.1%
zu10983-20003 1
 
< 0.1%
zu10129-20035 1
 
< 0.1%
zu10129-20034 1
 
< 0.1%
su07647-18001b 1
 
< 0.1%
zu07041-11002zc 1
 
< 0.1%
Other values (8290) 8290
99.9%
2023-12-12T09:15:44.316773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32181
28.2%
1 17317
15.1%
2 9335
 
8.2%
- 8385
 
7.3%
7 6471
 
5.7%
U 5598
 
4.9%
S 5523
 
4.8%
3 3682
 
3.2%
9 3540
 
3.1%
8 3118
 
2.7%
Other values (27) 19158
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84472
73.9%
Uppercase Letter 21451
 
18.8%
Dash Punctuation 8385
 
7.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 5598
26.1%
S 5523
25.7%
Z 2868
13.4%
A 1880
 
8.8%
H 1047
 
4.9%
B 979
 
4.6%
D 597
 
2.8%
C 569
 
2.7%
W 394
 
1.8%
E 373
 
1.7%
Other values (16) 1623
 
7.6%
Decimal Number
ValueCountFrequency (%)
0 32181
38.1%
1 17317
20.5%
2 9335
 
11.1%
7 6471
 
7.7%
3 3682
 
4.4%
9 3540
 
4.2%
8 3118
 
3.7%
4 3107
 
3.7%
5 2983
 
3.5%
6 2738
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 8385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92857
81.2%
Latin 21451
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 5598
26.1%
S 5523
25.7%
Z 2868
13.4%
A 1880
 
8.8%
H 1047
 
4.9%
B 979
 
4.6%
D 597
 
2.8%
C 569
 
2.7%
W 394
 
1.8%
E 373
 
1.7%
Other values (16) 1623
 
7.6%
Common
ValueCountFrequency (%)
0 32181
34.7%
1 17317
18.6%
2 9335
 
10.1%
- 8385
 
9.0%
7 6471
 
7.0%
3 3682
 
4.0%
9 3540
 
3.8%
8 3118
 
3.4%
4 3107
 
3.3%
5 2983
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32181
28.2%
1 17317
15.1%
2 9335
 
8.2%
- 8385
 
7.3%
7 6471
 
5.7%
U 5598
 
4.9%
S 5523
 
4.8%
3 3682
 
3.2%
9 3540
 
3.1%
8 3118
 
2.7%
Other values (27) 19158
16.8%

판정
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
적합
8125 
반납
 
130
청문실시
 
22
개선명령
 
12
안전인증취소
 
12

Length

Max length6
Median length2
Mean length2.0142117
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합
2nd row적합
3rd row반납
4th row반납
5th row적합

Common Values

ValueCountFrequency (%)
적합 8125
97.9%
반납 130
 
1.6%
청문실시 22
 
0.3%
개선명령 12
 
0.1%
안전인증취소 12
 
0.1%
부적합 2
 
< 0.1%

Length

2023-12-12T09:15:44.437050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:15:44.567307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 8125
97.9%
반납 130
 
1.6%
청문실시 22
 
0.3%
개선명령 12
 
0.1%
안전인증취소 12
 
0.1%
부적합 2
 
< 0.1%
Distinct97
Distinct (%)1.2%
Missing1
Missing (%)< 0.1%
Memory size65.0 KiB
2023-12-12T09:15:44.830080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length7.9685618
Min length2

Characters and Unicode

Total characters66155
Distinct characters190
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row관상 및 애완용 전기기기
2nd row주방용 전열기구
3rd row전기차 충전기(교류)
4th row전기차 충전기(교류)
5th row전지
ValueCountFrequency (%)
992
 
6.8%
전지 825
 
5.7%
전기냉장ㆍ냉동기기 728
 
5.0%
전열기구 640
 
4.4%
주방용 635
 
4.4%
교류전원을 605
 
4.2%
사용하는 580
 
4.0%
가열기기 460
 
3.2%
전기액체 447
 
3.1%
직류전원장치 393
 
2.7%
Other values (126) 8213
56.6%
2023-12-12T09:15:45.194360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9237
 
14.0%
6364
 
9.6%
6216
 
9.4%
2114
 
3.2%
2075
 
3.1%
1589
 
2.4%
1491
 
2.3%
1389
 
2.1%
1258
 
1.9%
1245
 
1.9%
Other values (180) 33177
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57595
87.1%
Space Separator 6216
 
9.4%
Lowercase Letter 1467
 
2.2%
Other Punctuation 465
 
0.7%
Open Punctuation 198
 
0.3%
Close Punctuation 198
 
0.3%
Uppercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9237
 
16.0%
6364
 
11.0%
2114
 
3.7%
2075
 
3.6%
1589
 
2.8%
1491
 
2.6%
1389
 
2.4%
1258
 
2.2%
1245
 
2.2%
1206
 
2.1%
Other values (156) 29627
51.4%
Lowercase Letter
ValueCountFrequency (%)
o 261
17.8%
s 234
16.0%
r 234
16.0%
c 144
9.8%
p 117
8.0%
m 117
8.0%
e 117
8.0%
i 54
 
3.7%
n 54
 
3.7%
t 27
 
1.8%
Other values (4) 108
7.4%
Uppercase Letter
ValueCountFrequency (%)
I 5
31.2%
T 5
31.2%
A 3
18.8%
V 3
18.8%
Other Punctuation
ValueCountFrequency (%)
, 455
97.8%
· 7
 
1.5%
/ 3
 
0.6%
Space Separator
ValueCountFrequency (%)
6216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57595
87.1%
Common 7077
 
10.7%
Latin 1483
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9237
 
16.0%
6364
 
11.0%
2114
 
3.7%
2075
 
3.6%
1589
 
2.8%
1491
 
2.6%
1389
 
2.4%
1258
 
2.2%
1245
 
2.2%
1206
 
2.1%
Other values (156) 29627
51.4%
Latin
ValueCountFrequency (%)
o 261
17.6%
s 234
15.8%
r 234
15.8%
c 144
9.7%
p 117
7.9%
m 117
7.9%
e 117
7.9%
i 54
 
3.6%
n 54
 
3.6%
t 27
 
1.8%
Other values (8) 124
8.4%
Common
ValueCountFrequency (%)
6216
87.8%
, 455
 
6.4%
( 198
 
2.8%
) 198
 
2.8%
· 7
 
0.1%
/ 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56862
86.0%
ASCII 8553
 
12.9%
Compat Jamo 733
 
1.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9237
 
16.2%
6364
 
11.2%
2114
 
3.7%
2075
 
3.6%
1589
 
2.8%
1491
 
2.6%
1389
 
2.4%
1258
 
2.2%
1245
 
2.2%
1206
 
2.1%
Other values (155) 28894
50.8%
ASCII
ValueCountFrequency (%)
6216
72.7%
, 455
 
5.3%
o 261
 
3.1%
s 234
 
2.7%
r 234
 
2.7%
( 198
 
2.3%
) 198
 
2.3%
c 144
 
1.7%
p 117
 
1.4%
m 117
 
1.4%
Other values (13) 379
 
4.4%
Compat Jamo
ValueCountFrequency (%)
733
100.0%
None
ValueCountFrequency (%)
· 7
100.0%
Distinct1059
Distinct (%)12.8%
Missing1
Missing (%)< 0.1%
Memory size65.0 KiB
2023-12-12T09:15:45.408935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length57
Mean length11.467357
Min length2

Characters and Unicode

Total characters95202
Distinct characters430
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique457 ?
Unique (%)5.5%

Sample

1st row동물부화·사육용 히터
2nd row전기오븐기기
3rd row전기차 충전기 (IC-CPD(in cable control and protection device)
4th row전기차 충전기(IC-CPD(in cable control and protection device)
5th row전지
ValueCountFrequency (%)
전지 764
 
6.1%
컴퓨터용 370
 
3.0%
supply 298
 
2.4%
power 292
 
2.3%
전원공급장치(switching 258
 
2.1%
전기냉장·냉동기기 237
 
1.9%
조명기구용컨버터(led용 226
 
1.8%
겸용 199
 
1.6%
직류전원장치 191
 
1.5%
선풍기 163
 
1.3%
Other values (1205) 9508
76.0%
2023-12-12T09:15:45.788322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8264
 
8.7%
4934
 
5.2%
4225
 
4.4%
( 3772
 
4.0%
) 3756
 
3.9%
r 2726
 
2.9%
e 2623
 
2.8%
o 2069
 
2.2%
i 1920
 
2.0%
1835
 
1.9%
Other values (420) 59078
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52568
55.2%
Lowercase Letter 22527
23.7%
Uppercase Letter 7421
 
7.8%
Space Separator 4225
 
4.4%
Open Punctuation 3777
 
4.0%
Close Punctuation 3762
 
4.0%
Other Punctuation 644
 
0.7%
Dash Punctuation 209
 
0.2%
Decimal Number 46
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8264
 
15.7%
4934
 
9.4%
1835
 
3.5%
1664
 
3.2%
1533
 
2.9%
1433
 
2.7%
989
 
1.9%
974
 
1.9%
934
 
1.8%
831
 
1.6%
Other values (343) 29177
55.5%
Lowercase Letter
ValueCountFrequency (%)
r 2726
12.1%
e 2623
11.6%
o 2069
 
9.2%
i 1920
 
8.5%
t 1776
 
7.9%
n 1259
 
5.6%
a 1230
 
5.5%
c 1218
 
5.4%
p 1068
 
4.7%
l 1027
 
4.6%
Other values (16) 5611
24.9%
Uppercase Letter
ValueCountFrequency (%)
D 1050
14.1%
E 983
13.2%
L 954
12.9%
C 731
9.9%
S 696
9.4%
P 678
9.1%
A 533
7.2%
M 244
 
3.3%
R 232
 
3.1%
T 177
 
2.4%
Other values (16) 1143
15.4%
Decimal Number
ValueCountFrequency (%)
0 10
21.7%
9 7
15.2%
3 6
13.0%
1 5
10.9%
7 5
10.9%
2 5
10.9%
6 3
 
6.5%
5 3
 
6.5%
8 1
 
2.2%
4 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
· 482
74.8%
, 106
 
16.5%
/ 54
 
8.4%
& 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 3772
99.9%
3
 
0.1%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3756
99.8%
4
 
0.1%
] 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
7
87.5%
1
 
12.5%
Space Separator
ValueCountFrequency (%)
4225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%
Math Symbol
ValueCountFrequency (%)
+ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52568
55.2%
Latin 29948
31.5%
Common 12686
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8264
 
15.7%
4934
 
9.4%
1835
 
3.5%
1664
 
3.2%
1533
 
2.9%
1433
 
2.7%
989
 
1.9%
974
 
1.9%
934
 
1.8%
831
 
1.6%
Other values (343) 29177
55.5%
Latin
ValueCountFrequency (%)
r 2726
 
9.1%
e 2623
 
8.8%
o 2069
 
6.9%
i 1920
 
6.4%
t 1776
 
5.9%
n 1259
 
4.2%
a 1230
 
4.1%
c 1218
 
4.1%
p 1068
 
3.6%
D 1050
 
3.5%
Other values (42) 13009
43.4%
Common
ValueCountFrequency (%)
4225
33.3%
( 3772
29.7%
) 3756
29.6%
· 482
 
3.8%
- 209
 
1.6%
, 106
 
0.8%
/ 54
 
0.4%
+ 15
 
0.1%
0 10
 
0.1%
9 7
 
0.1%
Other values (15) 50
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52565
55.2%
ASCII 42137
44.3%
None 489
 
0.5%
Letterlike Symbols 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8264
 
15.7%
4934
 
9.4%
1835
 
3.5%
1664
 
3.2%
1533
 
2.9%
1433
 
2.7%
989
 
1.9%
974
 
1.9%
934
 
1.8%
831
 
1.6%
Other values (342) 29174
55.5%
ASCII
ValueCountFrequency (%)
4225
 
10.0%
( 3772
 
9.0%
) 3756
 
8.9%
r 2726
 
6.5%
e 2623
 
6.2%
o 2069
 
4.9%
i 1920
 
4.6%
t 1776
 
4.2%
n 1259
 
3.0%
a 1230
 
2.9%
Other values (62) 16781
39.8%
None
ValueCountFrequency (%)
· 482
98.6%
4
 
0.8%
3
 
0.6%
Letterlike Symbols
ValueCountFrequency (%)
7
100.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Distinct6442
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-12T09:15:46.103376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length67
Mean length10.268216
Min length2

Characters and Unicode

Total characters85257
Distinct characters187
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5193 ?
Unique (%)62.5%

Sample

1st rowX-20
2nd rowZCV13
3rd row7PP.971.675.R
4th row7PP.971.675.S
5th rowGEAR LINK
ValueCountFrequency (%)
a 74
 
0.7%
iec 74
 
0.7%
60227 54
 
0.5%
33
 
0.3%
230v 32
 
0.3%
x 31
 
0.3%
250v 30
 
0.3%
ot 28
 
0.3%
3 26
 
0.2%
xitanium 25
 
0.2%
Other values (6997) 10456
96.3%
2023-12-12T09:15:46.653371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9686
 
11.4%
- 6374
 
7.5%
1 5716
 
6.7%
2 4824
 
5.7%
5 3318
 
3.9%
S 2965
 
3.5%
A 2950
 
3.5%
3 2833
 
3.3%
2628
 
3.1%
C 2449
 
2.9%
Other values (177) 41514
48.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 35088
41.2%
Decimal Number 35053
41.1%
Dash Punctuation 6374
 
7.5%
Lowercase Letter 3515
 
4.1%
Space Separator 2628
 
3.1%
Other Punctuation 995
 
1.2%
Other Letter 522
 
0.6%
Open Punctuation 380
 
0.4%
Close Punctuation 380
 
0.4%
Other Symbol 115
 
0.1%
Other values (7) 207
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
20.7%
103
19.7%
55
 
10.5%
48
 
9.2%
14
 
2.7%
12
 
2.3%
11
 
2.1%
11
 
2.1%
11
 
2.1%
8
 
1.5%
Other values (89) 141
27.0%
Uppercase Letter
ValueCountFrequency (%)
S 2965
 
8.5%
A 2950
 
8.4%
C 2449
 
7.0%
P 2126
 
6.1%
D 2002
 
5.7%
B 1867
 
5.3%
L 1766
 
5.0%
F 1714
 
4.9%
E 1655
 
4.7%
T 1594
 
4.5%
Other values (17) 14000
39.9%
Lowercase Letter
ValueCountFrequency (%)
r 377
10.7%
e 369
 
10.5%
i 317
 
9.0%
o 309
 
8.8%
t 263
 
7.5%
a 235
 
6.7%
n 225
 
6.4%
l 181
 
5.1%
u 166
 
4.7%
m 146
 
4.2%
Other values (17) 927
26.4%
Decimal Number
ValueCountFrequency (%)
0 9686
27.6%
1 5716
16.3%
2 4824
13.8%
5 3318
 
9.5%
3 2833
 
8.1%
6 2164
 
6.2%
4 2026
 
5.8%
8 1792
 
5.1%
7 1533
 
4.4%
9 1161
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 455
45.7%
/ 387
38.9%
, 136
 
13.7%
: 14
 
1.4%
* 2
 
0.2%
& 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
84
73.0%
25
 
21.7%
3
 
2.6%
° 2
 
1.7%
® 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 364
95.8%
16
 
4.2%
Math Symbol
ValueCountFrequency (%)
+ 82
76.6%
× 25
 
23.4%
Dash Punctuation
ValueCountFrequency (%)
- 6374
100.0%
Space Separator
ValueCountFrequency (%)
2628
100.0%
Open Punctuation
ValueCountFrequency (%)
( 380
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 84
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Format
ValueCountFrequency (%)
­ 4
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46129
54.1%
Latin 38604
45.3%
Hangul 522
 
0.6%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
20.7%
103
19.7%
55
 
10.5%
48
 
9.2%
14
 
2.7%
12
 
2.3%
11
 
2.1%
11
 
2.1%
11
 
2.1%
8
 
1.5%
Other values (89) 141
27.0%
Latin
ValueCountFrequency (%)
S 2965
 
7.7%
A 2950
 
7.6%
C 2449
 
6.3%
P 2126
 
5.5%
D 2002
 
5.2%
B 1867
 
4.8%
L 1766
 
4.6%
F 1714
 
4.4%
E 1655
 
4.3%
T 1594
 
4.1%
Other values (44) 17516
45.4%
Common
ValueCountFrequency (%)
0 9686
21.0%
- 6374
13.8%
1 5716
12.4%
2 4824
10.5%
5 3318
 
7.2%
3 2833
 
6.1%
2628
 
5.7%
6 2164
 
4.7%
4 2026
 
4.4%
8 1792
 
3.9%
Other values (23) 4768
10.3%
Greek
ValueCountFrequency (%)
μ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84564
99.2%
Hangul 522
 
0.6%
CJK Compat 109
 
0.1%
None 52
 
0.1%
Punctuation 4
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9686
 
11.5%
- 6374
 
7.5%
1 5716
 
6.8%
2 4824
 
5.7%
5 3318
 
3.9%
S 2965
 
3.5%
A 2950
 
3.5%
3 2833
 
3.4%
2628
 
3.1%
C 2449
 
2.9%
Other values (65) 40821
48.3%
Hangul
ValueCountFrequency (%)
108
20.7%
103
19.7%
55
 
10.5%
48
 
9.2%
14
 
2.7%
12
 
2.3%
11
 
2.1%
11
 
2.1%
11
 
2.1%
8
 
1.5%
Other values (89) 141
27.0%
CJK Compat
ValueCountFrequency (%)
84
77.1%
25
 
22.9%
None
ValueCountFrequency (%)
× 25
48.1%
16
30.8%
­ 4
 
7.7%
μ 2
 
3.8%
° 2
 
3.8%
Ø 2
 
3.8%
® 1
 
1.9%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Distinct1981
Distinct (%)23.9%
Missing1
Missing (%)< 0.1%
Memory size65.0 KiB
2023-12-12T09:15:46.951965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length59
Mean length25.044327
Min length2

Characters and Unicode

Total characters207918
Distinct characters495
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique852 ?
Unique (%)10.3%

Sample

1st row(주)오토일렉스
2nd rowGuangdong Westa Electrical Appliances & Technology Co.,Ltd.
3rd row포르쉐코리아 주식회사
4th row포르쉐코리아 주식회사
5th row주식회사 아이다코리아
ValueCountFrequency (%)
ltd 2533
 
9.0%
co 2273
 
8.0%
co.,ltd 1337
 
4.7%
주식회사 1050
 
3.7%
electronics 746
 
2.6%
appliance 730
 
2.6%
electric 717
 
2.5%
electrical 618
 
2.2%
technology 582
 
2.1%
393
 
1.4%
Other values (2474) 17313
61.2%
2023-12-12T09:15:47.461171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20069
 
9.7%
n 11164
 
5.4%
o 10049
 
4.8%
i 9178
 
4.4%
e 8171
 
3.9%
t 8128
 
3.9%
a 7579
 
3.6%
c 7126
 
3.4%
. 6591
 
3.2%
l 6034
 
2.9%
Other values (485) 113829
54.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99901
48.0%
Uppercase Letter 41550
20.0%
Other Letter 28019
 
13.5%
Space Separator 20069
 
9.7%
Other Punctuation 10501
 
5.1%
Close Punctuation 3612
 
1.7%
Open Punctuation 3610
 
1.7%
Dash Punctuation 341
 
0.2%
Decimal Number 314
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3370
 
12.0%
1306
 
4.7%
1269
 
4.5%
1204
 
4.3%
1158
 
4.1%
1007
 
3.6%
674
 
2.4%
656
 
2.3%
652
 
2.3%
575
 
2.1%
Other values (417) 16148
57.6%
Lowercase Letter
ValueCountFrequency (%)
n 11164
11.2%
o 10049
10.1%
i 9178
9.2%
e 8171
 
8.2%
t 8128
 
8.1%
a 7579
 
7.6%
c 7126
 
7.1%
l 6034
 
6.0%
g 4981
 
5.0%
d 4588
 
4.6%
Other values (16) 22903
22.9%
Uppercase Letter
ValueCountFrequency (%)
L 5680
13.7%
C 5614
13.5%
E 4397
10.6%
T 2684
 
6.5%
A 2646
 
6.4%
N 2184
 
5.3%
I 1907
 
4.6%
D 1896
 
4.6%
O 1866
 
4.5%
S 1778
 
4.3%
Other values (16) 10898
26.2%
Other Punctuation
ValueCountFrequency (%)
. 6591
62.8%
, 3607
34.3%
& 267
 
2.5%
' 16
 
0.2%
12
 
0.1%
/ 6
 
0.1%
; 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 206
65.6%
2 84
26.8%
0 23
 
7.3%
9 1
 
0.3%
Space Separator
ValueCountFrequency (%)
20069
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3612
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 141451
68.0%
Common 38448
 
18.5%
Hangul 28019
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3370
 
12.0%
1306
 
4.7%
1269
 
4.5%
1204
 
4.3%
1158
 
4.1%
1007
 
3.6%
674
 
2.4%
656
 
2.3%
652
 
2.3%
575
 
2.1%
Other values (417) 16148
57.6%
Latin
ValueCountFrequency (%)
n 11164
 
7.9%
o 10049
 
7.1%
i 9178
 
6.5%
e 8171
 
5.8%
t 8128
 
5.7%
a 7579
 
5.4%
c 7126
 
5.0%
l 6034
 
4.3%
L 5680
 
4.0%
C 5614
 
4.0%
Other values (42) 62728
44.3%
Common
ValueCountFrequency (%)
20069
52.2%
. 6591
 
17.1%
) 3612
 
9.4%
( 3610
 
9.4%
, 3607
 
9.4%
- 341
 
0.9%
& 267
 
0.7%
1 206
 
0.5%
2 84
 
0.2%
0 23
 
0.1%
Other values (6) 38
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179887
86.5%
Hangul 28019
 
13.5%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20069
 
11.2%
n 11164
 
6.2%
o 10049
 
5.6%
i 9178
 
5.1%
e 8171
 
4.5%
t 8128
 
4.5%
a 7579
 
4.2%
c 7126
 
4.0%
. 6591
 
3.7%
l 6034
 
3.4%
Other values (57) 85798
47.7%
Hangul
ValueCountFrequency (%)
3370
 
12.0%
1306
 
4.7%
1269
 
4.5%
1204
 
4.3%
1158
 
4.1%
1007
 
3.6%
674
 
2.4%
656
 
2.3%
652
 
2.3%
575
 
2.1%
Other values (417) 16148
57.6%
None
ValueCountFrequency (%)
12
100.0%

Correlations

2023-12-12T09:15:47.566418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판정제품중분류
판정1.0000.036
제품중분류0.0361.000

Missing values

2023-12-12T09:15:42.610454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:15:42.755975image/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.
2023-12-12T09:15:42.873982image/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

인증기관인증구분인증일자인증번호판정제품중분류제품명모델명제조사
0한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-30ZM07014-18001적합관상 및 애완용 전기기기동물부화·사육용 히터X-20(주)오토일렉스
1한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-30SU07776-19001적합주방용 전열기구전기오븐기기ZCV13Guangdong Westa Electrical Appliances & Technology Co.,Ltd.
2한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-16ZW07052-19001반납전기차 충전기(교류)전기차 충전기 (IC-CPD(in cable control and protection device)7PP.971.675.R포르쉐코리아 주식회사
3한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-20ZW07052-19002반납전기차 충전기(교류)전기차 충전기(IC-CPD(in cable control and protection device)7PP.971.675.S포르쉐코리아 주식회사
4한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-23ZU10491-16001A적합전지전지GEAR LINK주식회사 아이다코리아
5한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-17SU11366-19013적합안정기 및 램프 제어장치조명기구용컨버터(LED용)ELEMENT 25/220-240/570 LZhejiang Klite Lighting Holdings Co.,Ltd
6한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-06SU072278-19001적합전기청소기고압세척기KP-3.3EASJINHUA KARKHAY CLEANING EQUIPMENT CO., LTD
7한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-02ZU10996-19001적합전지전지18350(주)이마트
8한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-13SU071873-19004적합전기냉장ㆍ냉동기기전기냉장·냉동기기RS80T5190SLSuzhou Samsung Electronics Co., Ltd. Export
9한국산업기술시험원(KTL)안전인증대상 전기용품2020-01-06SW07557-19001적합전기액체 가열기기커피메이커801Capitani S.R.L
인증기관인증구분인증일자인증번호판정제품중분류제품명모델명제조사
8293한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-30ZU10161-20005B적합프린터프린터(복사기 스캐너 겸용)ApeosPort-Vll C4421한국후지필름비즈니스이노베이션(주)
8294한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-28SM07003-17002N적합전기세탁기 및 탈수기전기세탁기T19SQ엘지전자(주)창원2공장
8295한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-29SM07003-11006ZG적합전기세탁기 및 탈수기전기세탁기T4808V0Z엘지전자(주)창원2공장
8296한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31ZU101075-20006적합전지전지P337CDONGGUAN BESTWAY ELECTRONIC CO.,LTD
8297한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-30ZZ10031-17001A적합프린터프린터KIP 7170케이아이피비즈니스솔루션코리아주식회사
8298한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31ZU10431-15001A-1A적합전지전지LS884050AL주식회사 필리
8299한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31SI07008-13016E적합팬, 레인지후드환풍기EKSS-35000한일전기 주식회사
8300한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31SI07008-17003C적합팬, 레인지후드환풍기EKSS-40000-T한일전기 주식회사
8301한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31SI07008-20011A적합팬, 레인지후드환풍기EKSS-20000한일전기 주식회사
8302한국산업기술시험원(KTL)안전인증대상 전기용품2020-12-31SU072457-20001C적합전기액체 가열기기전기주전자XZ-518AGuangdong Xingzhou Electric Appliance Co.,Ltd