Overview

Dataset statistics

Number of variables3
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory26.1 B

Variable types

Text1
Categorical1
DateTime1

Dataset

Description한국수력원자력(주) 품질보증처의 협력사 대상 품질멘토링 시행 일정으로 대상업체, 업체구분, 시행일자 실적을 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15100950/fileData.do

Reproduction

Analysis started2023-12-12 07:39:40.755207
Analysis finished2023-12-12 07:39:41.132437
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상업체
Text

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T16:39:41.315658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.7777778
Min length2

Characters and Unicode

Total characters301
Distinct characters116
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)87.3%

Sample

1st rowKDM
2nd row한빛파워
3rd row고려인슈
4th row고려호이스트
5th row삼영검사엔지니어링
ValueCountFrequency (%)
제스엔지니어링 2
 
3.2%
청우하이드로 2
 
3.2%
에너시스 2
 
3.2%
한국공조기술개발 2
 
3.2%
한국솔빗 1
 
1.6%
소룩스 1
 
1.6%
엔텍코아 1
 
1.6%
대광금속 1
 
1.6%
델타아이오 1
 
1.6%
에이치에스씨엠티 1
 
1.6%
Other values (49) 49
77.8%
2023-12-12T16:39:41.763813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 20
 
6.6%
에 17
 
5.6%
이 15
 
5.0%
지 10
 
3.3%
엔 9
 
3.0%
앤 6
 
2.0%
씨 6
 
2.0%
한 6
 
2.0%
워 5
 
1.7%
크 5
 
1.7%
Other values (106) 202
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
99.0%
Uppercase Letter 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 20
 
6.7%
에 17
 
5.7%
이 15
 
5.0%
지 10
 
3.4%
엔 9
 
3.0%
앤 6
 
2.0%
씨 6
 
2.0%
한 6
 
2.0%
워 5
 
1.7%
크 5
 
1.7%
Other values (103) 199
66.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
D 1
33.3%
M 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
99.0%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 20
 
6.7%
에 17
 
5.7%
이 15
 
5.0%
지 10
 
3.4%
엔 9
 
3.0%
앤 6
 
2.0%
씨 6
 
2.0%
한 6
 
2.0%
워 5
 
1.7%
크 5
 
1.7%
Other values (103) 199
66.8%
Latin
ValueCountFrequency (%)
K 1
33.3%
D 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
99.0%
ASCII 3
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 20
 
6.7%
에 17
 
5.7%
이 15
 
5.0%
지 10
 
3.4%
엔 9
 
3.0%
앤 6
 
2.0%
씨 6
 
2.0%
한 6
 
2.0%
워 5
 
1.7%
크 5
 
1.7%
Other values (103) 199
66.8%
ASCII
ValueCountFrequency (%)
K 1
33.3%
D 1
33.3%
M 1
33.3%

업체구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
신규
33 
기등록업체
30 

Length

Max length5
Median length2
Mean length3.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신규
2nd row신규
3rd row신규
4th row기등록업체
5th row신규

Common Values

ValueCountFrequency (%)
신규 33
52.4%
기등록업체 30
47.6%

Length

2023-12-12T16:39:41.926068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:39:42.035794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 33
52.4%
기등록업체 30
47.6%

시행일자
Date

Distinct39
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2022-01-11 00:00:00
Maximum2022-11-22 00:00:00
2023-12-12T16:39:42.150694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:39:42.285676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

Correlations

2023-12-12T16:39:42.364785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상업체업체구분시행일자
대상업체1.0001.0000.994
업체구분1.0001.0000.000
시행일자0.9940.0001.000

Missing values

2023-12-12T16:39:41.020416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:39:41.099529image/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

대상업체업체구분시행일자
0KDM신규2022-01-11
1한빛파워신규2022-02-23
2고려인슈신규2022-02-24
3고려호이스트기등록업체2022-02-24
4삼영검사엔지니어링신규2022-03-03
5파워엠엔씨기등록업체2022-03-22
6동아정밀공업사신규2022-03-23
7에코셋신규2022-04-12
8율원신규2022-04-13
9이스트파워기등록업체2022-04-14
대상업체업체구분시행일자
53에스앤에스밸브기등록업체2022-09-08
54비엠티기등록업체2022-09-09
55금화씨앤이기등록업체2022-09-20
56전오기등록업체2022-09-21
57에프디씨기등록업체2022-09-30
58엔이티신규2022-10-06
59엔텍코아기등록업체2022-10-07
60평일신규2022-11-08
61에이치에스씨엠티신규2022-11-10
62에스앤에스신규2022-11-22