Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

Categorical3
Text1
DateTime1

Dataset

Description1. 검사기준을 만족한 소화기에 부착되는 합격표시 정보 2. 제공정보 - 합격표시번호, 검사구분, 검사품목, 검사일자, 형식명(소화기재료, 무게)
Author한국소방산업기술원
URLhttps://www.data.go.kr/data/15068727/fileData.do

Alerts

접수구분 has constant value ""Constant
품명 has constant value ""Constant
합격표시번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:31:38.127013
Analysis finished2024-04-06 08:31:39.502567
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
생산제품검사(형식)
10000 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생산제품검사(형식)
2nd row생산제품검사(형식)
3rd row생산제품검사(형식)
4th row생산제품검사(형식)
5th row생산제품검사(형식)

Common Values

ValueCountFrequency (%)
생산제품검사(형식) 10000
100.0%

Length

2024-04-06T17:31:39.664789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:39.874740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산제품검사(형식 10000
100.0%

품명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소화기
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소화기 10000
100.0%

Length

2024-04-06T17:31:40.095621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:40.284934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소화기 10000
100.0%

합격표시번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:31:41.055958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters33
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowRAGD 92579
2nd rowBEKT 61062
3rd rowBEKS 56562
4th rowBEJM 46908
5th rowRAHE 55738
ValueCountFrequency (%)
rahe 1775
 
8.9%
bekt 1573
 
7.9%
rage 1462
 
7.3%
bejp 989
 
4.9%
beks 854
 
4.3%
bekx 594
 
3.0%
ragd 528
 
2.6%
beky 489
 
2.4%
rahd 485
 
2.4%
bejq 322
 
1.6%
Other values (9574) 10929
54.6%
2024-04-06T17:31:41.650942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
 
10.0%
E 8876
 
8.9%
7 6068
 
6.1%
B 5639
 
5.6%
5 5475
 
5.5%
6 5447
 
5.4%
4 4991
 
5.0%
2 4949
 
4.9%
9 4918
 
4.9%
8 4651
 
4.7%
Other values (23) 38986
39.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
50.0%
Uppercase Letter 40000
40.0%
Space Separator 10000
 
10.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8876
22.2%
B 5639
14.1%
A 4361
10.9%
R 4361
10.9%
K 4012
10.0%
H 2384
 
6.0%
G 1990
 
5.0%
J 1614
 
4.0%
T 1573
 
3.9%
D 1013
 
2.5%
Other values (12) 4177
10.4%
Decimal Number
ValueCountFrequency (%)
7 6068
12.1%
5 5475
10.9%
6 5447
10.9%
4 4991
10.0%
2 4949
9.9%
9 4918
9.8%
8 4651
9.3%
3 4580
9.2%
0 4504
9.0%
1 4417
8.8%
Space Separator
ValueCountFrequency (%)
10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
60.0%
Latin 40000
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8876
22.2%
B 5639
14.1%
A 4361
10.9%
R 4361
10.9%
K 4012
10.0%
H 2384
 
6.0%
G 1990
 
5.0%
J 1614
 
4.0%
T 1573
 
3.9%
D 1013
 
2.5%
Other values (12) 4177
10.4%
Common
ValueCountFrequency (%)
10000
16.7%
7 6068
10.1%
5 5475
9.1%
6 5447
9.1%
4 4991
8.3%
2 4949
8.2%
9 4918
8.2%
8 4651
7.8%
3 4580
7.6%
0 4504
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
 
10.0%
E 8876
 
8.9%
7 6068
 
6.1%
B 5639
 
5.6%
5 5475
 
5.5%
6 5447
 
5.4%
4 4991
 
5.0%
2 4949
 
4.9%
9 4918
 
4.9%
8 4651
 
4.7%
Other values (23) 38986
39.0%

형식명
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
분말(ABC), 3.3㎏
6106 
분말(ABC), 2.5㎏
942 
분말(ABC), 0.7㎏
902 
분말(ABC), 1.0㎏
676 
분말(ABC), 1.5㎏
 
610
Other values (8)
764 

Length

Max length18
Median length13
Mean length12.9158
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분말(ABC), 3.3㎏
2nd row분말(ABC), 3.3㎏
3rd row분말(ABC), 3.3㎏
4th row분말(ABC), 3.3㎏
5th row분말(ABC), 3.3㎏

Common Values

ValueCountFrequency (%)
분말(ABC), 3.3㎏ 6106
61.1%
분말(ABC), 2.5㎏ 942
 
9.4%
분말(ABC), 0.7㎏ 902
 
9.0%
분말(ABC), 1.0㎏ 676
 
6.8%
분말(ABC), 1.5㎏ 610
 
6.1%
강화액, 3.0㎏ 295
 
2.9%
HFC-236fa, 3.0㎏ 175
 
1.8%
분말(ABC), 6.5㎏ 157
 
1.6%
이산화탄소, 6.8㎏ 52
 
0.5%
분말(ABC), 20.0㎏ 40
 
0.4%
Other values (3) 45
 
0.4%

Length

2024-04-06T17:31:41.890043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
분말(abc 9433
47.1%
3.3㎏ 6106
30.5%
2.5㎏ 942
 
4.7%
0.7㎏ 902
 
4.5%
1.0㎏ 676
 
3.4%
1.5㎏ 610
 
3.0%
3.0㎏ 487
 
2.4%
강화액 295
 
1.5%
hfc-236fa 175
 
0.9%
6.5㎏ 157
 
0.8%
Other values (9) 243
 
1.2%

검사일자
Date

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-07-13 00:00:00
Maximum2023-09-26 00:00:00
2024-04-06T17:31:42.074596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:42.284281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

Correlations

2024-04-06T17:31:42.556947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
형식명검사일자
형식명1.0000.921
검사일자0.9211.000

Missing values

2024-04-06T17:31:39.131721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:31:39.401227image/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

접수구분품명합격표시번호형식명검사일자
2608생산제품검사(형식)소화기RAGD 92579분말(ABC), 3.3㎏2023-09-01
9911생산제품검사(형식)소화기BEKT 61062분말(ABC), 3.3㎏2023-09-07
44259생산제품검사(형식)소화기BEKS 56562분말(ABC), 3.3㎏2023-09-14
84916생산제품검사(형식)소화기BEJM 46908분말(ABC), 3.3㎏2023-07-14
68393생산제품검사(형식)소화기RAHE 55738분말(ABC), 3.3㎏2023-09-08
53311생산제품검사(형식)소화기RAHE 39881분말(ABC), 1.5㎏2023-09-04
28939생산제품검사(형식)소화기RAGE 11000분말(ABC), 0.7㎏2023-09-12
44194생산제품검사(형식)소화기BEKS 56497분말(ABC), 3.3㎏2023-09-14
71409생산제품검사(형식)소화기RAHE 58754분말(ABC), 3.3㎏2023-09-08
49362생산제품검사(형식)소화기BEKS 75663분말(ABC), 3.3㎏2023-09-12
접수구분품명합격표시번호형식명검사일자
17948생산제품검사(형식)소화기BEKT 69099분말(ABC), 3.3㎏2023-09-07
3834생산제품검사(형식)소화기RAGD 93805분말(ABC), 3.3㎏2023-09-01
89860생산제품검사(형식)소화기BEJQ 34659분말(ABC), 1.5㎏2023-08-01
55914생산제품검사(형식)소화기BEKV 79886분말(ABC), 3.3㎏2023-09-08
86962생산제품검사(형식)소화기BEJQ 31761분말(ABC), 1.5㎏2023-08-01
81258생산제품검사(형식)소화기BEKY 79175분말(ABC), 3.3㎏2023-09-14
8368생산제품검사(형식)소화기BEKT 59519분말(ABC), 3.3㎏2023-09-07
3603생산제품검사(형식)소화기RAGD 93574분말(ABC), 3.3㎏2023-09-01
17914생산제품검사(형식)소화기BEKT 69065분말(ABC), 3.3㎏2023-09-07
45375생산제품검사(형식)소화기BEKS 71676분말(ABC), 3.3㎏2023-09-12