Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory43.1 B

Variable types

Categorical1
Text2
DateTime1
Numeric1

Dataset

DescriptionKGS Code는 정부에서 승인한 가스안전분야 시설,검사,기술 상세기준으로, 한국가스안공사에서 보유하고 있는 고압가스 코드 현황(코드번호, 코드명, 최신버젼 등) 데이터입니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15091490/fileData.do

Alerts

코드번호 has unique valuesUnique
코드명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 15:34:27.096158
Analysis finished2024-04-20 15:34:28.227358
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size624.0 B
제품
49 
시설
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제품 49
79.0%
시설 13
 
21.0%

Length

2024-04-21T00:34:28.437941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:34:28.748161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제품 49
79.0%
시설 13
 
21.0%

코드번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-04-21T00:34:29.436686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters558
Distinct characters19
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

Unique62 ?
Unique (%)100.0%

Sample

1st rowKGS AA111
2nd rowKGS AA112
3rd rowKGS AA211
4th rowKGS AA212
5th rowKGS AA213
ValueCountFrequency (%)
kgs 62
50.0%
ac416 1
 
0.8%
gc211 1
 
0.8%
ac216 1
 
0.8%
ac217 1
 
0.8%
ac218 1
 
0.8%
ac219 1
 
0.8%
ac311 1
 
0.8%
ac312 1
 
0.8%
ac313 1
 
0.8%
Other values (53) 53
42.7%
2024-04-21T00:34:30.558979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 91
16.3%
A 69
12.4%
S 64
11.5%
G 64
11.5%
K 62
11.1%
62
11.1%
2 32
 
5.7%
C 31
 
5.6%
3 21
 
3.8%
4 14
 
2.5%
Other values (9) 48
8.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 310
55.6%
Decimal Number 186
33.3%
Space Separator 62
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 91
48.9%
2 32
 
17.2%
3 21
 
11.3%
4 14
 
7.5%
9 8
 
4.3%
5 5
 
2.7%
6 5
 
2.7%
7 5
 
2.7%
8 4
 
2.2%
0 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
A 69
22.3%
S 64
20.6%
G 64
20.6%
K 62
20.0%
C 31
10.0%
F 11
 
3.5%
P 6
 
1.9%
U 3
 
1.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 310
55.6%
Common 248
44.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 91
36.7%
62
25.0%
2 32
 
12.9%
3 21
 
8.5%
4 14
 
5.6%
9 8
 
3.2%
5 5
 
2.0%
6 5
 
2.0%
7 5
 
2.0%
8 4
 
1.6%
Latin
ValueCountFrequency (%)
A 69
22.3%
S 64
20.6%
G 64
20.6%
K 62
20.0%
C 31
10.0%
F 11
 
3.5%
P 6
 
1.9%
U 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 91
16.3%
A 69
12.4%
S 64
11.5%
G 64
11.5%
K 62
11.1%
62
11.1%
2 32
 
5.7%
C 31
 
5.6%
3 21
 
3.8%
4 14
 
2.5%
Other values (9) 48
8.6%

코드명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-04-21T00:34:31.508430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length28.16129
Min length12

Characters and Unicode

Total characters1746
Distinct characters128
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row고압가스용 냉동기 제조의 시설ㆍ기술ㆍ검사 기준
2nd row고압가스용 가스히트펌프 제조의 시설ㆍ기술ㆍ검사 기준
3rd row가스용 역화방지장치 제조의 시설ㆍ기술ㆍ검사 기준
4th row액화석유가스 자동차용 가스자동주입기 제조의 시설ㆍ기술ㆍ검사 기준
5th row압축천연가스 자동차용 가스자동주입기 제조의 시설ㆍ기술ㆍ검사 기준
ValueCountFrequency (%)
기준 61
18.8%
시설ㆍ기술ㆍ검사 43
 
13.3%
제조의 41
 
12.7%
고압가스용 22
 
6.8%
용기 9
 
2.8%
재검사 8
 
2.5%
액화석유가스용 7
 
2.2%
고압가스 7
 
2.2%
복합재료용기 6
 
1.9%
용기밸브 5
 
1.5%
Other values (76) 115
35.5%
2024-04-21T00:34:32.878847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
15.1%
기 159
 
9.1%
ㆍ 110
 
6.3%
용 92
 
5.3%
사 64
 
3.7%
검 63
 
3.6%
준 62
 
3.6%
가 62
 
3.6%
스 58
 
3.3%
의 54
 
3.1%
Other values (118) 758
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1473
84.4%
Space Separator 264
 
15.1%
Decimal Number 5
 
0.3%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 159
 
10.8%
ㆍ 110
 
7.5%
용 92
 
6.2%
사 64
 
4.3%
검 63
 
4.3%
준 62
 
4.2%
가 62
 
4.2%
스 58
 
3.9%
의 54
 
3.7%
설 54
 
3.7%
Other values (110) 695
47.2%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
8 1
20.0%
6 1
20.0%
Space Separator
ValueCountFrequency (%)
264
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1473
84.4%
Common 273
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 159
 
10.8%
ㆍ 110
 
7.5%
용 92
 
6.2%
사 64
 
4.3%
검 63
 
4.3%
준 62
 
4.2%
가 62
 
4.2%
스 58
 
3.9%
의 54
 
3.7%
설 54
 
3.7%
Other values (110) 695
47.2%
Common
ValueCountFrequency (%)
264
96.7%
· 2
 
0.7%
1 2
 
0.7%
( 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
) 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1363
78.1%
ASCII 271
 
15.5%
Compat Jamo 110
 
6.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
97.4%
1 2
 
0.7%
( 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
) 1
 
0.4%
Hangul
ValueCountFrequency (%)
기 159
 
11.7%
용 92
 
6.7%
사 64
 
4.7%
검 63
 
4.6%
준 62
 
4.5%
가 62
 
4.5%
스 58
 
4.3%
의 54
 
4.0%
설 54
 
4.0%
시 52
 
3.8%
Other values (109) 643
47.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 110
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

최신버전
Date

Distinct24
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size624.0 B
Minimum2017-02-10 00:00:00
Maximum2023-08-25 00:00:00
2024-04-21T00:34:33.251098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:34:33.609080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

내용쪽수
Real number (ℝ)

Distinct43
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.467742
Minimum12
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size686.0 B
2024-04-21T00:34:33.972665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14.1
Q126.25
median42
Q396.25
95-th percentile164.85
Maximum204
Range192
Interquartile range (IQR)70

Descriptive statistics

Standard deviation51.749624
Coefficient of variation (CV)0.79045988
Kurtosis-0.2338633
Mean65.467742
Median Absolute Deviation (MAD)23
Skewness1.0209322
Sum4059
Variance2678.0235
MonotonicityNot monotonic
2024-04-21T00:34:34.401897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
36 4
 
6.5%
23 3
 
4.8%
46 3
 
4.8%
14 3
 
4.8%
32 3
 
4.8%
26 2
 
3.2%
42 2
 
3.2%
145 2
 
3.2%
165 2
 
3.2%
16 2
 
3.2%
Other values (33) 36
58.1%
ValueCountFrequency (%)
12 1
 
1.6%
14 3
4.8%
16 2
3.2%
18 2
3.2%
19 1
 
1.6%
22 1
 
1.6%
23 3
4.8%
24 1
 
1.6%
26 2
3.2%
27 1
 
1.6%
ValueCountFrequency (%)
204 1
1.6%
169 1
1.6%
165 2
3.2%
162 1
1.6%
160 1
1.6%
150 1
1.6%
145 2
3.2%
136 1
1.6%
133 1
1.6%
129 1
1.6%

Interactions

2024-04-21T00:34:27.439108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T00:34:34.878963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류코드번호코드명최신버전내용쪽수
분류1.0001.0001.0001.0000.563
코드번호1.0001.0001.0001.0001.000
코드명1.0001.0001.0001.0001.000
최신버전1.0001.0001.0001.0000.000
내용쪽수0.5631.0001.0000.0001.000
2024-04-21T00:34:35.038292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내용쪽수분류
내용쪽수1.0000.402
분류0.4021.000

Missing values

2024-04-21T00:34:27.787945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T00:34:28.106710image/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

분류코드번호코드명최신버전내용쪽수
0제품KGS AA111고압가스용 냉동기 제조의 시설ㆍ기술ㆍ검사 기준2021-10-08165
1제품KGS AA112고압가스용 가스히트펌프 제조의 시설ㆍ기술ㆍ검사 기준2021-10-08162
2제품KGS AA211가스용 역화방지장치 제조의 시설ㆍ기술ㆍ검사 기준2022-06-1418
3제품KGS AA212액화석유가스 자동차용 가스자동주입기 제조의 시설ㆍ기술ㆍ검사 기준2023-03-0627
4제품KGS AA213압축천연가스 자동차용 가스자동주입기 제조의 시설ㆍ기술ㆍ검사 기준2022-06-1439
5제품KGS AA311고압가스용 용기부속품 제조의 시설ㆍ기술ㆍ검사 기준2022-06-1436
6제품KGS AA312차단기능형 액화석유가스용 용기밸브 제조의 시설ㆍ기술ㆍ검사 기준2022-08-3036
7제품KGS AA313과류차단형 액화석유가스용 용기밸브 제조의 시설ㆍ기술ㆍ검사 기준2022-06-1433
8제품KGS AA314용기내장형 액화석유가스난방기용 용기밸브 제조의 시설ㆍ기술ㆍ검사 기준2022-10-1232
9제품KGS AA315액화석유가스용 용기밸브 제조의 시설ㆍ기술ㆍ검사 기준2022-03-3132
분류코드번호코드명최신버전내용쪽수
52시설KGS FP211고압가스 용기 및 차량에 고정된 탱크 충전의 시설ㆍ기술ㆍ검사ㆍ안전성평가 기준2023-06-14150
53시설KGS FP216제조식 수소자동차 충전의 시설ㆍ기술ㆍ검사 기준2022-12-30115
54시설KGS FP217저장식 수소자동차 충전의 시설ㆍ기술ㆍ검사 기준2022-12-3099
55시설KGS FS111용기에 의한 고압가스판매의 시설ㆍ기술ㆍ검사 기준2023-07-0345
56시설KGS FS112배관에 의한 고압가스판매의 시설ㆍ기술ㆍ검사 기준2023-07-03126
57시설KGS FU111고압가스 저장의 시설ㆍ기술ㆍ검사ㆍ안전성평가 기준2023-07-03129
58시설KGS FU211특정고압가스 사용의 시설ㆍ기술ㆍ검사 기준2023-07-0380
59시설KGS FU212특수고압가스 사용의 시설ㆍ기술ㆍ검사 기준2023-07-0380
60시설KGS GC211고압가스 안전성평가 기준2020-04-2918
61시설KGS GC212고압가스 배관보호 기준2021-11-1824