Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory61.1 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description국민실생활에 도움이되는 데이터를 제공하고자, 소비자에게 우수하고 안전한 제품선택이 가능하도록 KGS 제품 인증 현황(인증업체명, 품명, 모델명, 인증번호 등)을 제공합니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15091487/fileData.do

Alerts

인증기간 has constant value ""Constant
모델명 has unique valuesUnique
인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:33:14.586361
Analysis finished2023-12-12 07:33:15.049346
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T16:33:15.224832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.1923077
Min length3

Characters and Unicode

Total characters161
Distinct characters83
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

Unique21 ?
Unique (%)80.8%

Sample

1st row(주)바이텍
2nd row(주)세이프퀴슬
3rd row(주)제너럴테크놀러지
4th row(주)제너럴테크놀러지
5th row경희전기
ValueCountFrequency (%)
엑스코어 3
 
10.7%
주)제너럴테크놀러지 2
 
7.1%
주식회사 2
 
7.1%
㈜미랜 1
 
3.6%
㈜다원디엔에스 1
 
3.6%
화영상사 1
 
3.6%
한라정밀㈜ 1
 
3.6%
㈜하이원플러스 1
 
3.6%
㈜코푸렉스 1
 
3.6%
지텍 1
 
3.6%
Other values (14) 14
50.0%
2023-12-12T16:33:15.591954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.0%
8
 
5.0%
( 6
 
3.7%
6
 
3.7%
) 6
 
3.7%
6
 
3.7%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (73) 105
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
83.9%
Other Symbol 8
 
5.0%
Open Punctuation 6
 
3.7%
Close Punctuation 6
 
3.7%
Space Separator 3
 
1.9%
Uppercase Letter 2
 
1.2%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
5.9%
6
 
4.4%
6
 
4.4%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (66) 90
66.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
C 1
50.0%
Other Symbol
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
88.8%
Common 16
 
9.9%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
5.6%
8
 
5.6%
6
 
4.2%
6
 
4.2%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (67) 93
65.0%
Common
ValueCountFrequency (%)
( 6
37.5%
) 6
37.5%
3
18.8%
& 1
 
6.2%
Latin
ValueCountFrequency (%)
F 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
83.9%
ASCII 18
 
11.2%
None 8
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
5.9%
6
 
4.4%
6
 
4.4%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (66) 90
66.7%
None
ValueCountFrequency (%)
8
100.0%
ASCII
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
3
16.7%
& 1
 
5.6%
F 1
 
5.6%
C 1
 
5.6%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T16:33:15.829325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)80.8%

Sample

1st row139-81-39990
2nd row138-81-56619
3rd row303-81-34975
4th row303-81-34975
5th row429-81-00122
ValueCountFrequency (%)
106-18-91634 3
 
11.5%
303-81-34975 2
 
7.7%
130-81-24049 1
 
3.8%
131-86-55410 1
 
3.8%
106-86-54808 1
 
3.8%
622-09-60908 1
 
3.8%
123-81-64892 1
 
3.8%
125-81-91148 1
 
3.8%
131-81-09473 1
 
3.8%
440-86-01384 1
 
3.8%
Other values (13) 13
50.0%
2023-12-12T16:33:16.242171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
1 49
15.7%
8 33
10.6%
0 32
10.3%
6 28
9.0%
9 25
8.0%
3 24
7.7%
4 22
7.1%
5 18
 
5.8%
2 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
18.8%
8 33
12.7%
0 32
12.3%
6 28
10.8%
9 25
9.6%
3 24
9.2%
4 22
8.5%
5 18
 
6.9%
2 16
 
6.2%
7 13
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
1 49
15.7%
8 33
10.6%
0 32
10.3%
6 28
9.0%
9 25
8.0%
3 24
7.7%
4 22
7.1%
5 18
 
5.8%
2 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
1 49
15.7%
8 33
10.6%
0 32
10.3%
6 28
9.0%
9 25
8.0%
3 24
7.7%
4 22
7.1%
5 18
 
5.8%
2 16
 
5.1%

품명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
타이머부착콕개폐기
20 
가스용금속플렉시블호스보호관
신속이음쇠부착호스
 
2

Length

Max length14
Median length9
Mean length9.7692308
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row타이머부착콕개폐기
2nd row타이머부착콕개폐기
3rd row타이머부착콕개폐기
4th row타이머부착콕개폐기
5th row가스용금속플렉시블호스보호관

Common Values

ValueCountFrequency (%)
타이머부착콕개폐기 20
76.9%
가스용금속플렉시블호스보호관 4
 
15.4%
신속이음쇠부착호스 2
 
7.7%

Length

2023-12-12T16:33:16.434165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:16.539303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
타이머부착콕개폐기 20
76.9%
가스용금속플렉시블호스보호관 4
 
15.4%
신속이음쇠부착호스 2
 
7.7%

모델명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T16:33:16.741613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length121
Median length24
Mean length19.730769
Min length5

Characters and Unicode

Total characters513
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st rowVTM-03FN, VTM-03LN
2nd rowQDG-800N/800PQDG-700VN/700VPQDG-600N/600PQDG-500N/500P
3rd rowGT-02
4th rowGT-03B, 03V
5th rowKHF-28, 36
ValueCountFrequency (%)
36 3
 
4.2%
2090s 2
 
2.8%
2080s 2
 
2.8%
gcr-01 2
 
2.8%
s 2
 
2.8%
plus 2
 
2.8%
two 2
 
2.8%
42 2
 
2.8%
cia-gl03(iot 1
 
1.4%
ht-b30 1
 
1.4%
Other values (53) 53
73.6%
2023-12-12T16:33:17.104594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
16.2%
46
 
9.0%
, 41
 
8.0%
- 37
 
7.2%
G 31
 
6.0%
S 29
 
5.7%
2 25
 
4.9%
T 18
 
3.5%
1 18
 
3.5%
6 16
 
3.1%
Other values (36) 169
32.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184
35.9%
Uppercase Letter 184
35.9%
Space Separator 46
 
9.0%
Other Punctuation 45
 
8.8%
Dash Punctuation 37
 
7.2%
Lowercase Letter 13
 
2.5%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 31
16.8%
S 29
15.8%
T 18
9.8%
B 14
 
7.6%
V 13
 
7.1%
D 9
 
4.9%
P 8
 
4.3%
M 7
 
3.8%
C 7
 
3.8%
L 6
 
3.3%
Other values (12) 42
22.8%
Decimal Number
ValueCountFrequency (%)
0 83
45.1%
2 25
 
13.6%
1 18
 
9.8%
6 16
 
8.7%
3 13
 
7.1%
8 11
 
6.0%
9 6
 
3.3%
5 5
 
2.7%
7 5
 
2.7%
4 2
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
15.4%
w 2
15.4%
o 2
15.4%
s 2
15.4%
u 2
15.4%
y 1
7.7%
t 1
7.7%
i 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 41
91.1%
/ 4
 
8.9%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
61.6%
Latin 197
38.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 31
15.7%
S 29
14.7%
T 18
 
9.1%
B 14
 
7.1%
V 13
 
6.6%
D 9
 
4.6%
P 8
 
4.1%
M 7
 
3.6%
C 7
 
3.6%
L 6
 
3.0%
Other values (20) 55
27.9%
Common
ValueCountFrequency (%)
0 83
26.3%
46
14.6%
, 41
13.0%
- 37
11.7%
2 25
 
7.9%
1 18
 
5.7%
6 16
 
5.1%
3 13
 
4.1%
8 11
 
3.5%
9 6
 
1.9%
Other values (6) 20
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
16.2%
46
 
9.0%
, 41
 
8.0%
- 37
 
7.2%
G 31
 
6.0%
S 29
 
5.7%
2 25
 
4.9%
T 18
 
3.5%
1 18
 
3.5%
6 16
 
3.1%
Other values (36) 169
32.9%

인증번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T16:33:17.342475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.846154
Min length11

Characters and Unicode

Total characters308
Distinct characters15
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowKAS-KGS-0199
2nd rowKAS-KGS-0152
3rd rowKAS-KGS-0127
4th rowKAS-KGS-0157
5th rowKAS-KGS-0134
ValueCountFrequency (%)
kas-kgs-0199 1
 
3.8%
kas-kgs-0152 1
 
3.8%
kas-kgs-202 1
 
3.8%
kas-kgs-201 1
 
3.8%
kas-kgs-200 1
 
3.8%
kas-kgs-0173 1
 
3.8%
kas-kgs-0114 1
 
3.8%
kas-kgs-0158 1
 
3.8%
kas-kgs-0036 1
 
3.8%
kas-kgs-0195 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T16:33:17.684314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 52
16.9%
S 52
16.9%
- 52
16.9%
0 30
9.7%
A 26
8.4%
G 26
8.4%
1 23
7.5%
9 8
 
2.6%
2 8
 
2.6%
7 7
 
2.3%
Other values (5) 24
7.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 156
50.6%
Decimal Number 100
32.5%
Dash Punctuation 52
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
30.0%
1 23
23.0%
9 8
 
8.0%
2 8
 
8.0%
7 7
 
7.0%
3 6
 
6.0%
5 5
 
5.0%
6 5
 
5.0%
8 5
 
5.0%
4 3
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
K 52
33.3%
S 52
33.3%
A 26
16.7%
G 26
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 156
50.6%
Common 152
49.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
34.2%
0 30
19.7%
1 23
15.1%
9 8
 
5.3%
2 8
 
5.3%
7 7
 
4.6%
3 6
 
3.9%
5 5
 
3.3%
6 5
 
3.3%
8 5
 
3.3%
Latin
ValueCountFrequency (%)
K 52
33.3%
S 52
33.3%
A 26
16.7%
G 26
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 52
16.9%
S 52
16.9%
- 52
16.9%
0 30
9.7%
A 26
8.4%
G 26
8.4%
1 23
7.5%
9 8
 
2.6%
2 8
 
2.6%
7 7
 
2.3%
Other values (5) 24
7.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2012-04-02 00:00:00
Maximum2021-08-09 00:00:00
2023-12-12T16:33:17.805294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:17.924171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인증기간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3년
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3년
2nd row3년
3rd row3년
4th row3년
5th row3년

Common Values

ValueCountFrequency (%)
3년 26
100.0%

Length

2023-12-12T16:33:18.071312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:18.178968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3년 26
100.0%

Correlations

2023-12-12T16:33:18.260409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증업체명사업자번호품명모델명인증번호최초 인증일
인증업체명1.0001.0001.0001.0001.0000.997
사업자번호1.0001.0001.0001.0001.0000.997
품명1.0001.0001.0001.0001.0001.000
모델명1.0001.0001.0001.0001.0001.000
인증번호1.0001.0001.0001.0001.0001.000
최초 인증일0.9970.9971.0001.0001.0001.000

Missing values

2023-12-12T16:33:14.896707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:33:14.997755image/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

인증업체명사업자번호품명모델명인증번호최초 인증일인증기간
0(주)바이텍139-81-39990타이머부착콕개폐기VTM-03FN, VTM-03LNKAS-KGS-01992020-10-213년
1(주)세이프퀴슬138-81-56619타이머부착콕개폐기QDG-800N/800PQDG-700VN/700VPQDG-600N/600PQDG-500N/500PKAS-KGS-01522016-11-213년
2(주)제너럴테크놀러지303-81-34975타이머부착콕개폐기GT-02KAS-KGS-01272015-10-063년
3(주)제너럴테크놀러지303-81-34975타이머부착콕개폐기GT-03B, 03VKAS-KGS-01572017-06-073년
4경희전기429-81-00122가스용금속플렉시블호스보호관KHF-28, 36KAS-KGS-01342016-06-303년
5글로벌세이프벨루565-78-00016타이머부착콕개폐기GSV DGT-10VPGSV DGT-10APKAS-KGS-01672017-10-113년
6대선F&C133-06-27975가스용금속플렉시블호스보호관CSF-28, 36, 42KAS-KGS-00942014-08-293년
7미래후렉시블130-15-96548가스용금속플렉시블호스보호관MR-28, 36, 42KAS-KGS-00962014-08-293년
8세광공업㈜137-81-13859가스용금속플렉시블호스보호관28A, 36AKAS-KGS-01292016-02-013년
9신광기업504-21-89647타이머부착콕개폐기SK-ETF18, 21KAS-KGS-01782018-03-213년
인증업체명사업자번호품명모델명인증번호최초 인증일인증기간
16주식회사 엘스아이671-86-00918타이머부착콕개폐기ELS-500KAS-KGS-01772018-03-123년
17주식회사 지텍440-86-01384타이머부착콕개폐기GT-09BGT-09SKAS-KGS-01952019-07-153년
18㈜코푸렉스131-81-09473신속이음쇠부착호스City S, S Plus, L, Two, Two PlusKAS-KGS-00362012-04-023년
19㈜하이원플러스125-81-91148타이머부착콕개폐기K-320KAS-KGS-01582014-06-123년
20한라정밀㈜123-81-64892타이머부착콕개폐기GAS-Q(HLG-200)KAS-KGS-01142014-10-273년
21화영상사622-09-60908신속이음쇠부착호스HCH-01-002AKAS-KGS-01732017-12-193년
22㈜다원디엔에스106-86-54808타이머부착콕개폐기SG-V100-ZBKAS-KGS-2002021-03-243년
23엑스코어106-18-91634타이머부착콕개폐기GS, GS-S, GBKAS-KGS-2012021-08-093년
24엑스코어106-18-91634타이머부착콕개폐기GL, GUKAS-KGS-2022021-08-093년
25엑스코어106-18-91634타이머부착콕개폐기GST-021KAS-KGS-2032021-08-093년