Overview

Dataset statistics

Number of variables4
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.7%
Total size in memory2.0 KiB
Average record size in memory34.2 B

Variable types

Text1
Categorical1
DateTime2

Dataset

Description한전KPS(주) 안전보건경영시스템 인증 현황에 대한 자료입니다. (사업소명, 시스템종류, 시작일, 종료일 등)
Author한전케이피에스주식회사
URLhttps://www.data.go.kr/data/15063720/fileData.do

Alerts

Dataset has 1 (1.7%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 12:09:28.359749
Analysis finished2023-12-12 12:09:29.068240
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업소명
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T21:09:29.278800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.9166667
Min length5

Characters and Unicode

Total characters355
Distinct characters80
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row고리1사업소
2nd row고리2사업처
3rd row고리3사업소
4th row광주전력지사
5th row군산사업소
ValueCountFrequency (%)
안양사업소 2
 
3.3%
한울3사업소 2
 
3.3%
인천사업소 1
 
1.7%
한전kps본사 1
 
1.7%
제주사업소 1
 
1.7%
여수사업소 1
 
1.7%
영흥사업처 1
 
1.7%
예천양수사업소 1
 
1.7%
울산사업소 1
 
1.7%
원자력정비기술센터 1
 
1.7%
Other values (48) 48
80.0%
2023-12-12T21:09:29.759542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 57
 
16.1%
업 51
 
14.4%
소 36
 
10.1%
처 14
 
3.9%
양 11
 
3.1%
울 9
 
2.5%
한 8
 
2.3%
전 8
 
2.3%
수 8
 
2.3%
산 6
 
1.7%
Other values (70) 147
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
94.9%
Decimal Number 15
 
4.2%
Uppercase Letter 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 57
16.9%
업 51
 
15.1%
소 36
 
10.7%
처 14
 
4.2%
양 11
 
3.3%
울 9
 
2.7%
한 8
 
2.4%
전 8
 
2.4%
수 8
 
2.4%
산 6
 
1.8%
Other values (64) 129
38.3%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
3 5
33.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
K 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
94.9%
Common 15
 
4.2%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 57
16.9%
업 51
 
15.1%
소 36
 
10.7%
처 14
 
4.2%
양 11
 
3.3%
울 9
 
2.7%
한 8
 
2.4%
전 8
 
2.4%
수 8
 
2.4%
산 6
 
1.8%
Other values (64) 129
38.3%
Common
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
3 5
33.3%
Latin
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
94.9%
ASCII 18
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 57
16.9%
업 51
 
15.1%
소 36
 
10.7%
처 14
 
4.2%
양 11
 
3.3%
울 9
 
2.7%
한 8
 
2.4%
전 8
 
2.4%
수 8
 
2.4%
산 6
 
1.8%
Other values (64) 129
38.3%
ASCII
ValueCountFrequency (%)
1 5
27.8%
2 5
27.8%
3 5
27.8%
S 1
 
5.6%
P 1
 
5.6%
K 1
 
5.6%

시스템종류
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
KOSHA-MS
46 
ISO45001
14 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKOSHA-MS
2nd rowKOSHA-MS
3rd rowKOSHA-MS
4th rowKOSHA-MS
5th rowKOSHA-MS

Common Values

ValueCountFrequency (%)
KOSHA-MS 46
76.7%
ISO45001 14
 
23.3%

Length

2023-12-12T21:09:29.932169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:09:30.051421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kosha-ms 46
76.7%
iso45001 14
 
23.3%

유효기간(시작일)
Date

Distinct38
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-10-07 00:00:00
Maximum2022-06-30 00:00:00
2023-12-12T21:09:30.166884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:09:30.325727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

유효기간(종료일)
Date

Distinct37
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2021-10-06 00:00:00
Maximum2025-10-06 00:00:00
2023-12-12T21:09:30.459022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:09:30.594579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

Correlations

2023-12-12T21:09:30.687103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업소명시스템종류유효기간(시작일)유효기간(종료일)
사업소명1.0001.0000.9950.995
시스템종류1.0001.0001.0000.965
유효기간(시작일)0.9951.0001.0001.000
유효기간(종료일)0.9950.9651.0001.000

Missing values

2023-12-12T21:09:28.932971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:09:29.025686image/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

사업소명시스템종류유효기간(시작일)유효기간(종료일)
0고리1사업소KOSHA-MS2021-10-102024-10-09
1고리2사업처KOSHA-MS2021-10-102024-10-09
2고리3사업소KOSHA-MS2021-10-282024-10-27
3광주전력지사KOSHA-MS2020-11-252023-11-24
4군산사업소KOSHA-MS2021-09-102024-09-09
5남제주사업소KOSHA-MS2021-10-072024-10-06
6당진사업처KOSHA-MS2019-08-182022-08-17
7대구전력지사KOSHA-MS2020-08-242023-08-23
8대외사업센터ISO450012021-12-102024-12-09
9동두천사업소ISO450012021-08-162023-11-18
사업소명시스템종류유효기간(시작일)유효기간(종료일)
50하동사업처ISO450012019-07-132022-07-05
51한빛1사업처KOSHA-MS2019-08-192022-11-10
52한빛2사업소KOSHA-MS2021-12-142024-12-13
53한빛3사업처KOSHA-MS2019-08-192022-11-10
54한울1사업처KOSHA-MS2019-10-012022-09-30
55한울2사업처KOSHA-MS2019-10-012022-09-30
56한울3사업소KOSHA-MS2019-06-172022-08-12
57한울3사업소KOSHA-MS2019-06-172022-08-12
58한전KPS본사ISO450012022-04-222025-04-21
59화성사업소KOSHA-MS2021-10-282024-10-27

Duplicate rows

Most frequently occurring

사업소명시스템종류유효기간(시작일)유효기간(종료일)# duplicates
0한울3사업소KOSHA-MS2019-06-172022-08-122