Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.3 B

Variable types

Categorical2
Text1
DateTime2
Numeric1

Dataset

Description한국동서발전의 예방정비실적 정보입니다, 예방정비실적 정보는 발전소, 호기, 시작일, 종료일, 일수의 항목으로 구성됩니다.
URLhttps://www.data.go.kr/data/15104628/fileData.do

Alerts

타입 has constant value ""Constant

Reproduction

Analysis started2023-12-12 22:37:02.583208
Analysis finished2023-12-12 22:37:03.012605
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
당진
9 
일산
9 
울산복합
5 
동해
2 

Length

Max length4
Median length2
Mean length2.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진 9
36.0%
일산 9
36.0%
울산복합 5
20.0%
동해 2
 
8.0%

Length

2023-12-13T07:37:03.086764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:03.204779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진 9
36.0%
일산 9
36.0%
울산복합 5
20.0%
동해 2
 
8.0%

호기
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T07:37:03.339366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.16
Min length2

Characters and Unicode

Total characters79
Distinct characters14
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

Unique14 ?
Unique (%)56.0%

Sample

1st row#4
2nd row#1
3rd row#9
4th row#5
5th row#7
ValueCountFrequency (%)
1gt 3
 
12.0%
7 2
 
8.0%
1 2
 
8.0%
3gt 2
 
8.0%
4gt 2
 
8.0%
4 1
 
4.0%
2 1
 
4.0%
5gt 1
 
4.0%
6gt 1
 
4.0%
4st 1
 
4.0%
Other values (9) 9
36.0%
2023-12-13T07:37:03.642744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 25
31.6%
T 14
17.7%
G 12
15.2%
1 7
 
8.9%
4 4
 
5.1%
7 3
 
3.8%
3 2
 
2.5%
S 2
 
2.5%
5 2
 
2.5%
8 2
 
2.5%
Other values (4) 6
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 28
35.4%
Decimal Number 26
32.9%
Other Punctuation 25
31.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
26.9%
4 4
15.4%
7 3
11.5%
3 2
 
7.7%
5 2
 
7.7%
8 2
 
7.7%
2 2
 
7.7%
6 2
 
7.7%
9 1
 
3.8%
0 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
T 14
50.0%
G 12
42.9%
S 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
# 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51
64.6%
Latin 28
35.4%

Most frequent character per script

Common
ValueCountFrequency (%)
# 25
49.0%
1 7
 
13.7%
4 4
 
7.8%
7 3
 
5.9%
3 2
 
3.9%
5 2
 
3.9%
8 2
 
3.9%
2 2
 
3.9%
6 2
 
3.9%
9 1
 
2.0%
Latin
ValueCountFrequency (%)
T 14
50.0%
G 12
42.9%
S 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 25
31.6%
T 14
17.7%
G 12
15.2%
1 7
 
8.9%
4 4
 
5.1%
7 3
 
3.8%
3 2
 
2.5%
S 2
 
2.5%
5 2
 
2.5%
8 2
 
2.5%
Other values (4) 6
 
7.6%

타입
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
계획예방정지
25 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계획예방정지 25
100.0%

Length

2023-12-13T07:37:03.777658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:03.874198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계획예방정지 25
100.0%

시작일
Date

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2022-01-01 00:00:00
Maximum2022-12-05 00:00:00
2023-12-13T07:37:03.977693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:04.375993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

종료일
Date

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2022-03-21 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T07:37:04.527024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:04.636294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

일수
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.08
Minimum2
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T07:37:04.748885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q117
median44
Q354
95-th percentile311.6
Maximum366
Range364
Interquartile range (IQR)37

Descriptive statistics

Standard deviation94.589869
Coefficient of variation (CV)1.4761216
Kurtosis7.6825095
Mean64.08
Median Absolute Deviation (MAD)25
Skewness2.8503522
Sum1602
Variance8947.2433
MonotonicityNot monotonic
2023-12-13T07:37:04.911203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
44 4
16.0%
54 3
 
12.0%
4 2
 
8.0%
8 2
 
8.0%
365 1
 
4.0%
17 1
 
4.0%
41 1
 
4.0%
2 1
 
4.0%
39 1
 
4.0%
34 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
2 1
4.0%
4 2
8.0%
5 1
4.0%
8 2
8.0%
17 1
4.0%
19 1
4.0%
25 1
4.0%
34 1
4.0%
39 1
4.0%
41 1
4.0%
ValueCountFrequency (%)
366 1
 
4.0%
365 1
 
4.0%
98 1
 
4.0%
95 1
 
4.0%
79 1
 
4.0%
55 1
 
4.0%
54 3
12.0%
44 4
16.0%
41 1
 
4.0%
39 1
 
4.0%

Interactions

2023-12-13T07:37:02.758594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:37:05.001645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소호기시작일종료일일수
발전소1.0000.6861.0000.9770.670
호기0.6861.0000.6240.7770.542
시작일1.0000.6241.0000.9921.000
종료일0.9770.7770.9921.0000.953
일수0.6700.5421.0000.9531.000
2023-12-13T07:37:05.094728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일수발전소
일수1.0000.311
발전소0.3111.000

Missing values

2023-12-13T07:37:02.877532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:37:02.973411image/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

발전소호기타입시작일종료일일수
0당진#4계획예방정지2022-01-012022-12-31365
1당진#1계획예방정지2022-01-012023-01-01366
2당진#9계획예방정지2022-02-282022-06-0295
3당진#5계획예방정지2022-03-142022-03-218
4당진#7계획예방정지2022-03-212022-04-1425
5당진#8계획예방정지2022-03-072022-05-2479
6당진#10계획예방정지2022-04-112022-04-2919
7일산#1GT계획예방정지2022-04-142022-05-2744
8일산#2GT계획예방정지2022-04-142022-05-2744
9일산#3GT계획예방정지2022-04-142022-05-2744
발전소호기타입시작일종료일일수
15일산#6GT계획예방정지2022-05-292022-06-025
16일산#5GT계획예방정지2022-06-132022-06-164
17당진#7계획예방정지2022-09-192022-12-2598
18동해#1계획예방정지2022-09-092022-10-1234
19울산복합#4GT계획예방정지2022-09-162022-10-2439
20일산#3GT계획예방정지2022-09-142022-09-152
21동해#2계획예방정지2022-10-222022-12-0141
22울산복합#1GT계획예방정지2022-10-172022-11-0217
23일산#1GT계획예방정지2022-11-142022-11-174
24당진#6계획예방정지2022-12-052022-12-128