Overview

Dataset statistics

Number of variables3
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory27.2 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description2022년 1월 1일부터 2022년 12월 31일까지의 내압용기검사 불합격 통계 자료로써 불합격 종류와 그에 해당하는 건수가 기재되어있습니다.
URLhttps://www.data.go.kr/data/15117129/fileData.do

Reproduction

Analysis started2023-12-12 11:59:25.882189
Analysis finished2023-12-12 11:59:26.348040
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct15
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
가스누출
19 
용기장착 상태
8 
검사요건
5 
배관
4 
가스충전밸브/역류방지밸브
3 
Other values (10)
20 

Length

Max length13
Median length10
Mean length5.5084746
Min length2

Unique

Unique3 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
가스누출 19
32.2%
용기장착 상태 8
13.6%
검사요건 5
 
8.5%
배관 4
 
6.8%
가스충전밸브/역류방지밸브 3
 
5.1%
연료주입구 3
 
5.1%
용기밸브 3
 
5.1%
주밸브(차단밸브) 3
 
5.1%
기타장치 2
 
3.4%
동일성확인 2
 
3.4%
Other values (5) 7
 
11.9%

Length

2023-12-12T20:59:26.438894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가스누출 19
27.1%
상태 8
11.4%
용기장착 8
11.4%
검사요건 5
 
7.1%
배관 4
 
5.7%
가스충전밸브/역류방지밸브 3
 
4.3%
연료주입구 3
 
4.3%
용기밸브 3
 
4.3%
주밸브(차단밸브 3
 
4.3%
압력계/연료계 2
 
2.9%
Other values (9) 12
17.1%

내용
Text

Distinct48
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T20:59:26.757504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length12.237288
Min length2

Characters and Unicode

Total characters722
Distinct characters144
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)79.7%

Sample

1st row가스필터(몸체,연결부) 가스누출
2nd row고압라인배관(표면,연결부) 가스누출
3rd row기타
4th row수소 솔레노이드밸브 가스누출
5th row스택 수소이젝터(몸체,연결부) 가스누출
ValueCountFrequency (%)
가스누출 18
 
12.3%
기타 12
 
8.2%
불량 10
 
6.8%
부식 6
 
4.1%
손상 4
 
2.7%
등 4
 
2.7%
용기밸브 3
 
2.1%
연료주입구 3
 
2.1%
및 2
 
1.4%
최소 2
 
1.4%
Other values (74) 82
56.2%
2023-12-12T20:59:27.275213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
12.0%
기 37
 
5.1%
스 27
 
3.7%
가 23
 
3.2%
부 23
 
3.2%
, 21
 
2.9%
연 21
 
2.9%
출 18
 
2.5%
누 18
 
2.5%
결 16
 
2.2%
Other values (134) 431
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
78.7%
Space Separator 87
 
12.0%
Other Punctuation 28
 
3.9%
Open Punctuation 14
 
1.9%
Close Punctuation 14
 
1.9%
Dash Punctuation 6
 
0.8%
Uppercase Letter 3
 
0.4%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 37
 
6.5%
스 27
 
4.8%
가 23
 
4.0%
부 23
 
4.0%
연 21
 
3.7%
출 18
 
3.2%
누 18
 
3.2%
결 16
 
2.8%
브 16
 
2.8%
밸 16
 
2.8%
Other values (122) 353
62.1%
Other Punctuation
ValueCountFrequency (%)
, 21
75.0%
/ 6
 
21.4%
% 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
R 1
33.3%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
78.7%
Common 151
 
20.9%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 37
 
6.5%
스 27
 
4.8%
가 23
 
4.0%
부 23
 
4.0%
연 21
 
3.7%
출 18
 
3.2%
누 18
 
3.2%
결 16
 
2.8%
브 16
 
2.8%
밸 16
 
2.8%
Other values (122) 353
62.1%
Common
ValueCountFrequency (%)
87
57.6%
, 21
 
13.9%
( 14
 
9.3%
) 14
 
9.3%
/ 6
 
4.0%
- 6
 
4.0%
1 1
 
0.7%
5 1
 
0.7%
% 1
 
0.7%
Latin
ValueCountFrequency (%)
P 1
33.3%
R 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
78.7%
ASCII 154
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
56.5%
, 21
 
13.6%
( 14
 
9.1%
) 14
 
9.1%
/ 6
 
3.9%
- 6
 
3.9%
1 1
 
0.6%
5 1
 
0.6%
% 1
 
0.6%
P 1
 
0.6%
Other values (2) 2
 
1.3%
Hangul
ValueCountFrequency (%)
기 37
 
6.5%
스 27
 
4.8%
가 23
 
4.0%
부 23
 
4.0%
연 21
 
3.7%
출 18
 
3.2%
누 18
 
3.2%
결 16
 
2.8%
브 16
 
2.8%
밸 16
 
2.8%
Other values (122) 353
62.1%

총합계
Real number (ℝ)

Distinct23
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.525424
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T20:59:27.434208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q315.5
95-th percentile57.1
Maximum157
Range156
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation27.764003
Coefficient of variation (CV)1.9114074
Kurtosis15.376042
Mean14.525424
Median Absolute Deviation (MAD)2
Skewness3.6952032
Sum857
Variance770.83986
MonotonicityNot monotonic
2023-12-12T20:59:27.615709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 17
28.8%
3 8
13.6%
2 5
 
8.5%
17 3
 
5.1%
4 3
 
5.1%
5 3
 
5.1%
14 3
 
5.1%
27 2
 
3.4%
57 1
 
1.7%
9 1
 
1.7%
Other values (13) 13
22.0%
ValueCountFrequency (%)
1 17
28.8%
2 5
 
8.5%
3 8
13.6%
4 3
 
5.1%
5 3
 
5.1%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
13 1
 
1.7%
14 3
 
5.1%
ValueCountFrequency (%)
157 1
1.7%
126 1
1.7%
58 1
1.7%
57 1
1.7%
46 1
1.7%
44 1
1.7%
31 1
1.7%
27 2
3.4%
24 1
1.7%
21 1
1.7%

Interactions

2023-12-12T20:59:26.085572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:59:27.743425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분내용총합계
구분1.0000.0000.000
내용0.0001.0000.989
총합계0.0000.9891.000
2023-12-12T20:59:27.865433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총합계구분
총합계1.0000.000
구분0.0001.000

Missing values

2023-12-12T20:59:26.224137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:59:26.312560image/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

구분내용총합계
0가스누출가스필터(몸체,연결부) 가스누출17
1가스누출고압라인배관(표면,연결부) 가스누출14
2가스누출기타4
3가스누출수소 솔레노이드밸브 가스누출1
4가스누출스택 수소이젝터(몸체,연결부) 가스누출1
5가스누출스택(몸체,연결부) 가스누출1
6가스누출압력계(몸체,연결부) 가스누출2
7가스누출압력조정기(몸체,연결부) 가스누출44
8가스누출역류방지밸브(몸체,연결부) 가스누출31
9가스누출연료량조절밸브(몸체,연결부) 가스누출46
구분내용총합계
49용기장착 상태용기 컨테이너 설치 불량2
50용기장착 상태용기고정 불량2
51용기장착 상태용기고정띠의 부식, 균열, 휨, 마모 등 손상1
52용기장착 상태용기둘레 최소 이격기준 위반4
53용기장착 상태용기받침대, 고정 띠 등 조립 불량3
54용기장착 상태용기받침대의 부식, 균열, 힘, 마모 등 손상3
55용기장착 상태용기장착시스템 차체 결합부위 변형 등 손상1
56주밸브(차단밸브)기타1
57주밸브(차단밸브)주밸브 고장/기능불량9
58주밸브(차단밸브)주밸브 조립상태 불량2