Overview

Dataset statistics

Number of variables4
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory34.0 B

Variable types

Categorical1
Text3

Dataset

Description공사가 수행하는 가스용품분야 성능인증 업무를 통해 생성된 데이터로, 성능인증품 구매가 필요한 제조사의 수요를 반영하여 성능인증 품목별 제조업체 현황(인증품목, 업소명, 전화번호, 주소)을 공개합니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15091483/fileData.do

Reproduction

Analysis started2023-12-12 13:07:45.503177
Analysis finished2023-12-12 13:07:45.892721
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증품목
Categorical

Distinct16
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
가스연소기용 급배기통
10 
이동식부탄연소기용 거버너
10 
수소자동차 연료공급부품
8 
누출점검용 가스계량기
7 
연료전지 전력변환장치
6 
Other values (11)
24 

Length

Max length17
Median length16
Mean length11.630769
Min length5

Unique

Unique3 ?
Unique (%)4.6%

Sample

1st row가스연소기용 급배기통
2nd row가스연소기용 급배기통
3rd row가스연소기용 급배기통
4th row가스연소기용 급배기통
5th row가스연소기용 급배기통

Common Values

ValueCountFrequency (%)
가스연소기용 급배기통 10
15.4%
이동식부탄연소기용 거버너 10
15.4%
수소자동차 연료공급부품 8
12.3%
누출점검용 가스계량기 7
10.8%
연료전지 전력변환장치 6
9.2%
LPG용압력조정기다이어프램 4
 
6.2%
자동버너컨트롤시스템 3
 
4.6%
자동차단밸브 3
 
4.6%
전기식다이어프램 압력계 3
 
4.6%
신축이음관 2
 
3.1%
Other values (6) 9
13.8%

Length

2023-12-12T22:07:45.957214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
급배기통 11
 
9.2%
가스연소기용 10
 
8.3%
이동식부탄연소기용 10
 
8.3%
거버너 10
 
8.3%
수소자동차 8
 
6.7%
연료공급부품 8
 
6.7%
누출점검용 7
 
5.8%
가스계량기 7
 
5.8%
연료전지 6
 
5.0%
전력변환장치 6
 
5.0%
Other values (18) 37
30.8%

업소명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T22:07:46.145667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22
Mean length8.1384615
Min length3

Characters and Unicode

Total characters529
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)93.8%

Sample

1st row태양산업
2nd row(주)신성금속
3rd row우리금속
4th row연합금속
5th row태성금속
ValueCountFrequency (%)
co.,ltd 3
 
3.9%
주식회사 3
 
3.9%
한국아이티오(주 2
 
2.6%
한국콘트롤공업(주 2
 
2.6%
신한정밀(주 1
 
1.3%
대성계전(주 1
 
1.3%
화성지점 1
 
1.3%
한울계기공업(주 1
 
1.3%
서평코리아 1
 
1.3%
피에스텍(주 1
 
1.3%
Other values (61) 61
79.2%
2023-12-12T22:07:46.468209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 26
 
4.9%
주 26
 
4.9%
( 23
 
4.3%
) 23
 
4.3%
스 17
 
3.2%
이 12
 
2.3%
12
 
2.3%
아 11
 
2.1%
업 10
 
1.9%
코 8
 
1.5%
Other values (157) 361
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
64.3%
Uppercase Letter 72
 
13.6%
Other Symbol 26
 
4.9%
Open Punctuation 23
 
4.3%
Close Punctuation 23
 
4.3%
Lowercase Letter 22
 
4.2%
Space Separator 12
 
2.3%
Other Punctuation 11
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
7.6%
스 17
 
5.0%
이 12
 
3.5%
아 11
 
3.2%
업 10
 
2.9%
코 8
 
2.4%
한 8
 
2.4%
기 8
 
2.4%
트 6
 
1.8%
성 6
 
1.8%
Other values (116) 228
67.1%
Uppercase Letter
ValueCountFrequency (%)
I 7
 
9.7%
O 6
 
8.3%
N 6
 
8.3%
L 5
 
6.9%
A 5
 
6.9%
D 5
 
6.9%
C 5
 
6.9%
T 4
 
5.6%
U 4
 
5.6%
S 4
 
5.6%
Other values (12) 21
29.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
13.6%
c 3
13.6%
n 3
13.6%
t 2
9.1%
u 2
9.1%
i 2
9.1%
d 1
 
4.5%
r 1
 
4.5%
e 1
 
4.5%
l 1
 
4.5%
Other values (3) 3
13.6%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
, 4
36.4%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
69.2%
Latin 94
 
17.8%
Common 69
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 26
 
7.1%
주 26
 
7.1%
스 17
 
4.6%
이 12
 
3.3%
아 11
 
3.0%
업 10
 
2.7%
코 8
 
2.2%
한 8
 
2.2%
기 8
 
2.2%
트 6
 
1.6%
Other values (117) 234
63.9%
Latin
ValueCountFrequency (%)
I 7
 
7.4%
O 6
 
6.4%
N 6
 
6.4%
L 5
 
5.3%
A 5
 
5.3%
D 5
 
5.3%
C 5
 
5.3%
T 4
 
4.3%
U 4
 
4.3%
S 4
 
4.3%
Other values (25) 43
45.7%
Common
ValueCountFrequency (%)
( 23
33.3%
) 23
33.3%
12
17.4%
. 7
 
10.1%
, 4
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
64.3%
ASCII 163
30.8%
None 26
 
4.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 26
100.0%
Hangul
ValueCountFrequency (%)
주 26
 
7.6%
스 17
 
5.0%
이 12
 
3.5%
아 11
 
3.2%
업 10
 
2.9%
코 8
 
2.4%
한 8
 
2.4%
기 8
 
2.4%
트 6
 
1.8%
성 6
 
1.8%
Other values (116) 228
67.1%
ASCII
ValueCountFrequency (%)
( 23
 
14.1%
) 23
 
14.1%
12
 
7.4%
I 7
 
4.3%
. 7
 
4.3%
O 6
 
3.7%
N 6
 
3.7%
L 5
 
3.1%
A 5
 
3.1%
D 5
 
3.1%
Other values (30) 64
39.3%

전화번호
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T22:07:46.721665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.076923
Min length9

Characters and Unicode

Total characters785
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

Unique61 ?
Unique (%)93.8%

Sample

1st row031-998-2353
2nd row031-989-5457
3rd row031-998-6121
4th row031-222-6003
5th row031-985-9171
ValueCountFrequency (%)
031-351-9051 2
 
3.1%
031-655-1144 2
 
3.1%
031-883-5400 1
 
1.5%
032-865-0411 1
 
1.5%
032-505-8775 1
 
1.5%
031-988-2661 1
 
1.5%
055-340-2000 1
 
1.5%
1899-6390 1
 
1.5%
032-762-9111 1
 
1.5%
031-720-5337 1
 
1.5%
Other values (53) 53
81.5%
2023-12-12T22:07:47.170679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 131
16.7%
0 124
15.8%
3 90
11.5%
1 90
11.5%
5 75
9.6%
8 55
7.0%
2 50
 
6.4%
9 46
 
5.9%
6 44
 
5.6%
7 42
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 654
83.3%
Dash Punctuation 131
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124
19.0%
3 90
13.8%
1 90
13.8%
5 75
11.5%
8 55
8.4%
2 50
7.6%
9 46
 
7.0%
6 44
 
6.7%
7 42
 
6.4%
4 38
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 785
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 131
16.7%
0 124
15.8%
3 90
11.5%
1 90
11.5%
5 75
9.6%
8 55
7.0%
2 50
 
6.4%
9 46
 
5.9%
6 44
 
5.6%
7 42
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 785
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 131
16.7%
0 124
15.8%
3 90
11.5%
1 90
11.5%
5 75
9.6%
8 55
7.0%
2 50
 
6.4%
9 46
 
5.9%
6 44
 
5.6%
7 42
 
5.4%

주소
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T22:07:47.468149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length43
Mean length23.938462
Min length13

Characters and Unicode

Total characters1556
Distinct characters205
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

Unique63 ?
Unique (%)96.9%

Sample

1st row경기도 김포시 월곶면 점동로 41번길 55-26
2nd row경기 김포시 월곶면 군하로 230
3rd row경기도 김포시 통진읍 서암로 193-12
4th row경기도 화성시 효행로 402
5th row경기도 화성시 팔탄면 시청로 1020-45
ValueCountFrequency (%)
경기도 19
 
5.6%
경기 8
 
2.3%
김포시 7
 
2.1%
화성시 7
 
2.1%
평택시 5
 
1.5%
인천광역시 5
 
1.5%
부산 5
 
1.5%
장안면 4
 
1.2%
충남 4
 
1.2%
인천 4
 
1.2%
Other values (231) 273
80.1%
2023-12-12T22:07:48.009405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
17.8%
2 47
 
3.0%
시 46
 
3.0%
1 44
 
2.8%
로 41
 
2.6%
경 36
 
2.3%
길 35
 
2.2%
3 30
 
1.9%
기 29
 
1.9%
5 28
 
1.8%
Other values (195) 943
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
48.7%
Space Separator 277
 
17.8%
Decimal Number 274
 
17.6%
Lowercase Letter 116
 
7.5%
Uppercase Letter 83
 
5.3%
Other Punctuation 30
 
1.9%
Dash Punctuation 17
 
1.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 46
 
6.1%
로 41
 
5.4%
경 36
 
4.8%
길 35
 
4.6%
기 29
 
3.8%
구 26
 
3.4%
산 25
 
3.3%
도 25
 
3.3%
서 20
 
2.6%
남 19
 
2.5%
Other values (137) 455
60.1%
Uppercase Letter
ValueCountFrequency (%)
N 11
13.3%
I 10
12.0%
A 7
 
8.4%
O 6
 
7.2%
G 6
 
7.2%
H 5
 
6.0%
C 4
 
4.8%
Z 4
 
4.8%
D 4
 
4.8%
J 3
 
3.6%
Other values (11) 23
27.7%
Lowercase Letter
ValueCountFrequency (%)
a 17
14.7%
i 14
12.1%
o 14
12.1%
n 11
9.5%
h 9
7.8%
t 8
 
6.9%
d 7
 
6.0%
r 6
 
5.2%
e 5
 
4.3%
u 5
 
4.3%
Other values (10) 20
17.2%
Decimal Number
ValueCountFrequency (%)
2 47
17.2%
1 44
16.1%
3 30
10.9%
5 28
10.2%
4 27
9.9%
0 26
9.5%
7 21
7.7%
9 20
7.3%
8 16
 
5.8%
6 15
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 24
80.0%
. 5
 
16.7%
# 1
 
3.3%
Space Separator
ValueCountFrequency (%)
277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
48.7%
Common 600
38.6%
Latin 199
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 46
 
6.1%
로 41
 
5.4%
경 36
 
4.8%
길 35
 
4.6%
기 29
 
3.8%
구 26
 
3.4%
산 25
 
3.3%
도 25
 
3.3%
서 20
 
2.6%
남 19
 
2.5%
Other values (137) 455
60.1%
Latin
ValueCountFrequency (%)
a 17
 
8.5%
i 14
 
7.0%
o 14
 
7.0%
N 11
 
5.5%
n 11
 
5.5%
I 10
 
5.0%
h 9
 
4.5%
t 8
 
4.0%
A 7
 
3.5%
d 7
 
3.5%
Other values (31) 91
45.7%
Common
ValueCountFrequency (%)
277
46.2%
2 47
 
7.8%
1 44
 
7.3%
3 30
 
5.0%
5 28
 
4.7%
4 27
 
4.5%
0 26
 
4.3%
, 24
 
4.0%
7 21
 
3.5%
9 20
 
3.3%
Other values (7) 56
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 799
51.3%
Hangul 757
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
34.7%
2 47
 
5.9%
1 44
 
5.5%
3 30
 
3.8%
5 28
 
3.5%
4 27
 
3.4%
0 26
 
3.3%
, 24
 
3.0%
7 21
 
2.6%
9 20
 
2.5%
Other values (48) 255
31.9%
Hangul
ValueCountFrequency (%)
시 46
 
6.1%
로 41
 
5.4%
경 36
 
4.8%
길 35
 
4.6%
기 29
 
3.8%
구 26
 
3.4%
산 25
 
3.3%
도 25
 
3.3%
서 20
 
2.6%
남 19
 
2.5%
Other values (137) 455
60.1%

Correlations

2023-12-12T22:07:48.119710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증품목업소명전화번호주소
인증품목1.0000.0000.0000.000
업소명0.0001.0001.0001.000
전화번호0.0001.0001.0001.000
주소0.0001.0001.0001.000

Missing values

2023-12-12T22:07:45.787897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:07:45.860542image/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

인증품목업소명전화번호주소
0가스연소기용 급배기통태양산업031-998-2353경기도 김포시 월곶면 점동로 41번길 55-26
1가스연소기용 급배기통(주)신성금속031-989-5457경기 김포시 월곶면 군하로 230
2가스연소기용 급배기통우리금속031-998-6121경기도 김포시 통진읍 서암로 193-12
3가스연소기용 급배기통연합금속031-222-6003경기도 화성시 효행로 402
4가스연소기용 급배기통태성금속031-985-9171경기도 화성시 팔탄면 시청로 1020-45
5가스연소기용 급배기통(주)용광032-569-4650경기도 김포시 향촌읍 황금3로 7번길 73
6가스연소기용 급배기통(주)장안기업032-566-0921인천광역시 서구 가좌동 165-10
7가스연소기용 급배기통씨에스산업(주)032-573-7475인천광역시 서구 가좌동 560-15
8가스연소기용 급배기통㈜반석기업031-981-6273경기도 김포시 하성면 석평로 15번길 147-47
9가스연소기용 급배기통㈜벨맥스031-298-8200경기 화성시 봉담읍 능산길 42
인증품목업소명전화번호주소
55냉동기설비배관용 그루브관이음미션크리티컬엔지니어링(주)02-483-8688서울 송파구 오금로 31길 15-6
56누출점검용 가스계량기㈜대명아이티031-358-0811경기도 화성시 장안면 3.1만세로 515-4
57누출점검용 가스계량기㈜대한가스기기032-816-3383인천광역시 남동구 남동동로33번길 28-22 공단 145B-6L
58누출점검용 가스계량기㈜지텍산업053-585-2401대구광역시 달서구 성서서로59길 29
59누출점검용 가스계량기대성계전(주)054-550-2500경북 문경시 호계면 태봉1길 5
60누출점검용 가스계량기신한정밀(주)032-865-0411인천광역시 미추홀구 장고개로92번길 12외 1필지
61누출점검용 가스계량기옴니시스템주식회사 화성지점031-883-5400경기도 화성시 장안면 3.1만세로 515-4, 2층
62누출점검용 가스계량기피에스텍(주)031-988-2661경기도 김포시 양촌읍 황금3로 7번길 80
63소형저장탱크용 금속플렉시블호스주식회사 서평코리아032-505-8775인천 남동구 만월북로2번길 9
64소형저장탱크용 금속플렉시블호스굿플렉스032-426-2896인천 남동구 고잔로 83