Overview

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory209.4 B

Variable types

Categorical15
Text1
Numeric7
DateTime1

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/ba1ccde1-624a-43df-9ff8-f33d8e66c6e2

Alerts

충전_구분 has constant value ""Constant
충전_방식 has constant value ""Constant
전력_사용량_(중간부하) has constant value ""Constant
비고 has constant value ""Constant
생산_일시 has constant value ""Constant
전력_사용량_(최대부하) is highly imbalanced (78.9%)Imbalance
전력_사용량 has 2 (6.7%) zerosZeros
충전_시간 has 16 (53.3%) zerosZeros
전력_사용량_(경부하) has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:55:47.345979
Analysis finished2023-12-10 13:55:48.195535
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전_일시
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-02-01 00:00:05
11 
2022-02-01 00:00:00
4 
2022-02-01 00:00:01
4 
2022-02-01 00:00:02
4 
2022-02-01 00:00:03
4 
Other values (2)
3 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2022-02-01 00:00:00
2nd row2022-02-01 00:00:00
3rd row2022-02-01 00:00:00
4th row2022-02-01 00:00:00
5th row2022-02-01 00:00:01

Common Values

ValueCountFrequency (%)
2022-02-01 00:00:05 11
36.7%
2022-02-01 00:00:00 4
 
13.3%
2022-02-01 00:00:01 4
 
13.3%
2022-02-01 00:00:02 4
 
13.3%
2022-02-01 00:00:03 4
 
13.3%
2022-02-01 00:00:04 2
 
6.7%
2022-02-01 00:00:06 1
 
3.3%

Length

2023-12-10T22:55:48.403731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:48.727300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-02-01 30
50.0%
00:00:05 11
 
18.3%
00:00:00 4
 
6.7%
00:00:01 4
 
6.7%
00:00:02 4
 
6.7%
00:00:03 4
 
6.7%
00:00:04 2
 
3.3%
00:00:06 1
 
1.7%

충전소_ID
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCS0051
17 
KRPPKCS0001
5 
KRPPKCS0053
3 
KRPPKCS0034
2 
KRPPKCS0004
 
1
Other values (2)
2 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st rowKRPPKCS0001
2nd rowKRPPKCS0051
3rd rowKRPPKCS0051
4th rowKRPPKCS0051
5th rowKRPPKCS0004

Common Values

ValueCountFrequency (%)
KRPPKCS0051 17
56.7%
KRPPKCS0001 5
 
16.7%
KRPPKCS0053 3
 
10.0%
KRPPKCS0034 2
 
6.7%
KRPPKCS0004 1
 
3.3%
KRPPKCS0030 1
 
3.3%
KRPPKCS0066 1
 
3.3%

Length

2023-12-10T22:55:49.103211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:49.303226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcs0051 17
56.7%
krppkcs0001 5
 
16.7%
krppkcs0053 3
 
10.0%
krppkcs0034 2
 
6.7%
krppkcs0004 1
 
3.3%
krppkcs0030 1
 
3.3%
krppkcs0066 1
 
3.3%

충전기_ID
Text

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:55:49.590878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters330
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st rowKRPPKCP0007
2nd rowKRPPKCP0321
3rd rowKRPPKCP0322
4th rowKRPPKCP0323
5th rowKRPPKCP0020
ValueCountFrequency (%)
krppkcp0321 4
13.3%
krppkcp0322 4
13.3%
krppkcp0323 4
13.3%
krppkcp0326 3
10.0%
krppkcp0007 2
 
6.7%
krppkcp0324 2
 
6.7%
krppkcp0001 2
 
6.7%
krppkcp0020 1
 
3.3%
krppkcp0215 1
 
3.3%
krppkcp0332 1
 
3.3%
Other values (6) 6
20.0%
2023-12-10T22:55:50.071221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
0 44
13.3%
R 30
 
9.1%
C 30
 
9.1%
3 28
 
8.5%
2 28
 
8.5%
1 8
 
2.4%
4 4
 
1.2%
6 3
 
0.9%
Other values (2) 5
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 210
63.6%
Decimal Number 120
36.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
36.7%
3 28
23.3%
2 28
23.3%
1 8
 
6.7%
4 4
 
3.3%
6 3
 
2.5%
7 3
 
2.5%
5 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
P 90
42.9%
K 60
28.6%
R 30
 
14.3%
C 30
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 210
63.6%
Common 120
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
36.7%
3 28
23.3%
2 28
23.3%
1 8
 
6.7%
4 4
 
3.3%
6 3
 
2.5%
7 3
 
2.5%
5 2
 
1.7%
Latin
ValueCountFrequency (%)
P 90
42.9%
K 60
28.6%
R 30
 
14.3%
C 30
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
0 44
13.3%
R 30
 
9.1%
C 30
 
9.1%
3 28
 
8.5%
2 28
 
8.5%
1 8
 
2.4%
4 4
 
1.2%
6 3
 
0.9%
Other values (2) 5
 
1.5%

시도_코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
48
20 
41
6 
44
 
2
11
 
1
43
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row41
2nd row48
3rd row48
4th row48
5th row11

Common Values

ValueCountFrequency (%)
48 20
66.7%
41 6
 
20.0%
44 2
 
6.7%
11 1
 
3.3%
43 1
 
3.3%

Length

2023-12-10T22:55:50.291651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:50.467877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48 20
66.7%
41 6
 
20.0%
44 2
 
6.7%
11 1
 
3.3%
43 1
 
3.3%

시군구_코드
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.93333
Minimum111
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:50.628612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile117
Q1123
median123
Q3123
95-th percentile153.35
Maximum480
Range369
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.699385
Coefficient of variation (CV)0.48332064
Kurtosis28.576462
Mean135.93333
Median Absolute Deviation (MAD)0
Skewness5.299913
Sum4078
Variance4316.4092
MonotonicityNot monotonic
2023-12-10T22:55:50.801630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
123 17
56.7%
117 5
 
16.7%
125 3
 
10.0%
133 2
 
6.7%
170 1
 
3.3%
111 1
 
3.3%
480 1
 
3.3%
ValueCountFrequency (%)
111 1
 
3.3%
117 5
 
16.7%
123 17
56.7%
125 3
 
10.0%
133 2
 
6.7%
170 1
 
3.3%
480 1
 
3.3%
ValueCountFrequency (%)
480 1
 
3.3%
170 1
 
3.3%
133 2
 
6.7%
125 3
 
10.0%
123 17
56.7%
117 5
 
16.7%
111 1
 
3.3%

시도_명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
경상남도
20 
경기도
6 
충청남도
 
2
서울특별시
 
1
충청북도
 
1

Length

Max length5
Median length4
Mean length3.8333333
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row경기도
2nd row경상남도
3rd row경상남도
4th row경상남도
5th row서울특별시

Common Values

ValueCountFrequency (%)
경상남도 20
66.7%
경기도 6
 
20.0%
충청남도 2
 
6.7%
서울특별시 1
 
3.3%
충청북도 1
 
3.3%

Length

2023-12-10T22:55:51.151107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:51.373466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 20
66.7%
경기도 6
 
20.0%
충청남도 2
 
6.7%
서울특별시 1
 
3.3%
충청북도 1
 
3.3%

시군구_명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
창원시
20 
수원시
5 
천안시
 
2
용산구
 
1
청주시
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row수원시
2nd row창원시
3rd row창원시
4th row창원시
5th row용산구

Common Values

ValueCountFrequency (%)
창원시 20
66.7%
수원시 5
 
16.7%
천안시 2
 
6.7%
용산구 1
 
3.3%
청주시 1
 
3.3%
파주시 1
 
3.3%

Length

2023-12-10T22:55:51.548584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:51.711788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 20
66.7%
수원시 5
 
16.7%
천안시 2
 
6.7%
용산구 1
 
3.3%
청주시 1
 
3.3%
파주시 1
 
3.3%

충전소_명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
***** *****
17 
**** ***** *** ***
5 
**** *******
4 
**** ***
2 
**** ** *****
 
1

Length

Max length18
Median length11
Mean length12.133333
Min length8

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row**** ***** *** ***
2nd row***** *****
3rd row***** *****
4th row***** *****
5th row**** ** *****

Common Values

ValueCountFrequency (%)
***** ***** 17
56.7%
**** ***** *** *** 5
 
16.7%
**** ******* 4
 
13.3%
**** *** 2
 
6.7%
**** ** ***** 1
 
3.3%
**** ***** 1
 
3.3%

Length

2023-12-10T22:55:51.907145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:52.116892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
71
100.0%

위도
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
35
20 
<NA>
5 
37
3 
38
 
2

Length

Max length4
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row35
3rd row35
4th row35
5th row38

Common Values

ValueCountFrequency (%)
35 20
66.7%
<NA> 5
 
16.7%
37 3
 
10.0%
38 2
 
6.7%

Length

2023-12-10T22:55:52.679232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:52.895971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35 20
66.7%
na 5
 
16.7%
37 3
 
10.0%
38 2
 
6.7%

경도
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
129
20 
127
9 
128
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row127
2nd row129
3rd row129
4th row129
5th row127

Common Values

ValueCountFrequency (%)
129 20
66.7%
127 9
30.0%
128 1
 
3.3%

Length

2023-12-10T22:55:53.072246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:53.232113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
129 20
66.7%
127 9
30.0%
128 1
 
3.3%

충전_구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 30
100.0%

Length

2023-12-10T22:55:53.415118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:53.576660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
100.0%

충전_방식
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
D
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
D 30
100.0%

Length

2023-12-10T22:55:53.733052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:53.937876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 30
100.0%

시작_일시
Date

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2022-01-31 22:45:31
Maximum2022-02-01 00:00:05
2023-12-10T22:55:54.142010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:55:54.322759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

종료_일시
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-02-01 00:00:00
17 
2022-02-01 01:25:34
2 
2022-02-01 00:19:41
2 
2022-02-01 00:00:01
2 
2022-02-01 00:51:52
 
1
Other values (6)
6 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique7 ?
Unique (%)23.3%

Sample

1st row2022-02-01 00:00:00
2nd row2022-02-01 00:00:00
3rd row2022-02-01 00:00:00
4th row2022-02-01 00:00:00
5th row2022-02-01 00:00:00

Common Values

ValueCountFrequency (%)
2022-02-01 00:00:00 17
56.7%
2022-02-01 01:25:34 2
 
6.7%
2022-02-01 00:19:41 2
 
6.7%
2022-02-01 00:00:01 2
 
6.7%
2022-02-01 00:51:52 1
 
3.3%
2022-02-01 00:04:03 1
 
3.3%
2022-02-01 00:42:43 1
 
3.3%
2022-02-01 00:46:40 1
 
3.3%
2022-02-01 00:24:09 1
 
3.3%
2022-02-01 01:01:19 1
 
3.3%

Length

2023-12-10T22:55:54.508531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-02-01 30
50.0%
00:00:00 17
28.3%
01:25:34 2
 
3.3%
00:19:41 2
 
3.3%
00:00:01 2
 
3.3%
00:51:52 1
 
1.7%
00:04:03 1
 
1.7%
00:42:43 1
 
1.7%
00:46:40 1
 
1.7%
00:24:09 1
 
1.7%
Other values (2) 2
 
3.3%

시작_SOC
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.366667
Minimum7
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:54.668726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8.8
Q132.5
median42
Q357
95-th percentile78.25
Maximum85
Range78
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation20.535056
Coefficient of variation (CV)0.46284873
Kurtosis-0.28042577
Mean44.366667
Median Absolute Deviation (MAD)14.5
Skewness-0.042172112
Sum1331
Variance421.68851
MonotonicityNot monotonic
2023-12-10T22:55:54.848934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
41 3
 
10.0%
31 2
 
6.7%
42 2
 
6.7%
57 2
 
6.7%
37 2
 
6.7%
85 2
 
6.7%
56 2
 
6.7%
21 2
 
6.7%
65 2
 
6.7%
7 2
 
6.7%
Other values (9) 9
30.0%
ValueCountFrequency (%)
7 2
6.7%
11 1
 
3.3%
17 1
 
3.3%
21 2
6.7%
31 2
6.7%
37 2
6.7%
40 1
 
3.3%
41 3
10.0%
42 2
6.7%
48 1
 
3.3%
ValueCountFrequency (%)
85 2
6.7%
70 1
3.3%
65 2
6.7%
61 1
3.3%
58 1
3.3%
57 2
6.7%
56 2
6.7%
51 1
3.3%
50 1
3.3%
48 1
3.3%

종료_SOC
Real number (ℝ)

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.733333
Minimum21
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:55.060189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q147.5
median85
Q3100
95-th percentile100
Maximum100
Range79
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation29.465273
Coefficient of variation (CV)0.40511374
Kurtosis-1.0578269
Mean72.733333
Median Absolute Deviation (MAD)15
Skewness-0.66893908
Sum2182
Variance868.2023
MonotonicityNot monotonic
2023-12-10T22:55:55.274809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
100 10
33.3%
21 4
 
13.3%
58 2
 
6.7%
85 2
 
6.7%
65 2
 
6.7%
96 2
 
6.7%
43 2
 
6.7%
31 1
 
3.3%
89 1
 
3.3%
74 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
21 4
13.3%
31 1
 
3.3%
43 2
6.7%
44 1
 
3.3%
58 2
6.7%
65 2
6.7%
71 1
 
3.3%
74 1
 
3.3%
85 2
6.7%
89 1
 
3.3%
ValueCountFrequency (%)
100 10
33.3%
96 2
 
6.7%
95 1
 
3.3%
89 1
 
3.3%
85 2
 
6.7%
74 1
 
3.3%
71 1
 
3.3%
65 2
 
6.7%
58 2
 
6.7%
44 1
 
3.3%

SOC_충전_량
Real number (ℝ)

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63
Minimum21
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:55.499437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q143
median65
Q385
95-th percentile96
Maximum98
Range77
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.299338
Coefficient of variation (CV)0.41744981
Kurtosis-1.2533027
Mean63
Median Absolute Deviation (MAD)21.5
Skewness-0.34210182
Sum1890
Variance691.65517
MonotonicityNot monotonic
2023-12-10T22:55:55.715182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
21 4
13.3%
85 4
13.3%
65 3
10.0%
31 3
10.0%
58 2
 
6.7%
43 2
 
6.7%
96 2
 
6.7%
98 1
 
3.3%
72 1
 
3.3%
74 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
21 4
13.3%
31 3
10.0%
43 2
6.7%
44 1
 
3.3%
58 2
6.7%
63 1
 
3.3%
65 3
10.0%
71 1
 
3.3%
72 1
 
3.3%
74 1
 
3.3%
ValueCountFrequency (%)
98 1
 
3.3%
96 2
6.7%
95 1
 
3.3%
94 1
 
3.3%
89 1
 
3.3%
85 4
13.3%
84 1
 
3.3%
74 1
 
3.3%
72 1
 
3.3%
71 1
 
3.3%

전력_사용량
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.033333
Minimum0
Maximum166
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:55.888071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.55
Q133
median63
Q3114.75
95-th percentile161.75
Maximum166
Range166
Interquartile range (IQR)81.75

Descriptive statistics

Standard deviation51.387965
Coefficient of variation (CV)0.6941193
Kurtosis-0.99850313
Mean74.033333
Median Absolute Deviation (MAD)34.5
Skewness0.47446895
Sum2221
Variance2640.723
MonotonicityNot monotonic
2023-12-10T22:55:56.060660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
41 4
13.3%
84 3
 
10.0%
28 2
 
6.7%
159 2
 
6.7%
0 2
 
6.7%
33 2
 
6.7%
129 2
 
6.7%
19 2
 
6.7%
63 2
 
6.7%
166 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
19 2
6.7%
28 2
6.7%
30 1
 
3.3%
33 2
6.7%
41 4
13.3%
50 1
 
3.3%
63 2
6.7%
78 1
 
3.3%
84 3
10.0%
ValueCountFrequency (%)
166 1
 
3.3%
164 1
 
3.3%
159 2
6.7%
139 1
 
3.3%
129 2
6.7%
120 1
 
3.3%
99 1
 
3.3%
97 1
 
3.3%
84 3
10.0%
78 1
 
3.3%

충전_시간
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661.36667
Minimum0
Maximum2526
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:56.220289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31742.25
95-th percentile2284.95
Maximum2526
Range2526
Interquartile range (IQR)1742.25

Descriptive statistics

Standard deviation985.49296
Coefficient of variation (CV)1.4900856
Kurtosis-1.0246567
Mean661.36667
Median Absolute Deviation (MAD)0
Skewness0.93799454
Sum19841
Variance971196.38
MonotonicityNot monotonic
2023-12-10T22:55:56.398634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16
53.3%
2155 2
 
6.7%
1146 2
 
6.7%
1941 2
 
6.7%
1 2
 
6.7%
10 2
 
6.7%
2307 1
 
3.3%
2258 1
 
3.3%
2244 1
 
3.3%
2526 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 2
 
6.7%
10 2
 
6.7%
1146 2
 
6.7%
1941 2
 
6.7%
2155 2
 
6.7%
2244 1
 
3.3%
2258 1
 
3.3%
2307 1
 
3.3%
2526 1
 
3.3%
ValueCountFrequency (%)
2526 1
 
3.3%
2307 1
 
3.3%
2258 1
 
3.3%
2244 1
 
3.3%
2155 2
 
6.7%
1941 2
 
6.7%
1146 2
 
6.7%
10 2
 
6.7%
1 2
 
6.7%
0 16
53.3%

전력_사용량_(경부하)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73
Minimum0
Maximum164
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:55:56.658692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.55
Q133
median63
Q3114.75
95-th percentile159
Maximum164
Range164
Interquartile range (IQR)81.75

Descriptive statistics

Standard deviation49.760807
Coefficient of variation (CV)0.68165489
Kurtosis-1.0393384
Mean73
Median Absolute Deviation (MAD)34.5
Skewness0.42402343
Sum2190
Variance2476.1379
MonotonicityNot monotonic
2023-12-10T22:55:56.846860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
41 4
13.3%
84 3
 
10.0%
28 2
 
6.7%
159 2
 
6.7%
0 2
 
6.7%
33 2
 
6.7%
129 2
 
6.7%
19 2
 
6.7%
63 2
 
6.7%
135 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
19 2
6.7%
28 2
6.7%
30 1
 
3.3%
33 2
6.7%
41 4
13.3%
50 1
 
3.3%
63 2
6.7%
78 1
 
3.3%
84 3
10.0%
ValueCountFrequency (%)
164 1
 
3.3%
159 2
6.7%
139 1
 
3.3%
135 1
 
3.3%
129 2
6.7%
120 1
 
3.3%
99 1
 
3.3%
97 1
 
3.3%
84 3
10.0%
78 1
 
3.3%

전력_사용량_(중간부하)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:55:57.100634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:57.242119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

전력_사용량_(최대부하)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
31
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
96.7%
31 1
 
3.3%

Length

2023-12-10T22:55:57.387416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:57.532117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
31 1
 
3.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-09-26 전기차 충전 이력
30 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-26 전기차 충전 이력
2nd row2022-09-26 전기차 충전 이력
3rd row2022-09-26 전기차 충전 이력
4th row2022-09-26 전기차 충전 이력
5th row2022-09-26 전기차 충전 이력

Common Values

ValueCountFrequency (%)
2022-09-26 전기차 충전 이력 30
100.0%

Length

2023-12-10T22:55:57.725229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:57.902420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-26 30
25.0%
전기차 30
25.0%
충전 30
25.0%
이력 30
25.0%

생산_일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-09-26 18:16:18
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-26 18:16:18
2nd row2022-09-26 18:16:18
3rd row2022-09-26 18:16:18
4th row2022-09-26 18:16:18
5th row2022-09-26 18:16:18

Common Values

ValueCountFrequency (%)
2022-09-26 18:16:18 30
100.0%

Length

2023-12-10T22:55:58.103833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:55:58.246234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-26 30
50.0%
18:16:18 30
50.0%

Sample

충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량충전_시간전력_사용량_(경부하)전력_사용량_(중간부하)전력_사용량_(최대부하)비고생산_일시
02022-02-01 00:00:00KRPPKCS0001KRPPKCP000741117경기도수원시**** ***** *** ***<NA>12713D2022-01-31 23:36:592022-02-01 00:00:0041585828230728002022-09-26 전기차 충전 이력2022-09-26 18:16:18
12022-02-01 00:00:00KRPPKCS0051KRPPKCP032148123경상남도창원시***** *****3512913D2022-01-31 22:54:122022-02-01 00:00:003785851290129002022-09-26 전기차 충전 이력2022-09-26 18:16:18
22022-02-01 00:00:00KRPPKCS0051KRPPKCP032248123경상남도창원시***** *****3512913D2022-01-31 23:26:322022-02-01 00:00:0011313163063002022-09-26 전기차 충전 이력2022-09-26 18:16:18
32022-02-01 00:00:00KRPPKCS0051KRPPKCP032348123경상남도창원시***** *****3512913D2022-01-31 23:38:062022-02-01 00:00:007212141215541002022-09-26 전기차 충전 이력2022-09-26 18:16:18
42022-02-01 00:00:01KRPPKCS0004KRPPKCP002011170서울특별시용산구**** ** *****3812713D2022-01-31 23:11:592022-02-01 00:00:0058898997097002022-09-26 전기차 충전 이력2022-09-26 18:16:18
52022-02-01 00:00:01KRPPKCS0034KRPPKCP021544133충청남도천안시**** ***3712713D2022-01-31 23:07:592022-02-01 00:00:0050747484084002022-09-26 전기차 충전 이력2022-09-26 18:16:18
62022-02-01 00:00:01KRPPKCS0051KRPPKCP032348123경상남도창원시***** *****3512913D2022-01-31 23:38:062022-02-01 00:00:007212141215541002022-09-26 전기차 충전 이력2022-09-26 18:16:18
72022-02-01 00:00:01KRPPKCS0053KRPPKCP033248125경상남도창원시**** *******3512913D2022-01-31 23:43:592022-02-01 00:51:52651007299099002022-09-26 전기차 충전 이력2022-09-26 18:16:18
82022-02-01 00:00:02KRPPKCS0030KRPPKCP020243111충청북도청주시**** *****3712813D2022-01-31 22:45:312022-02-01 00:04:03411009816601350312022-09-26 전기차 충전 이력2022-09-26 18:16:18
92022-02-01 00:00:02KRPPKCS0051KRPPKCP032148123경상남도창원시***** *****3512913D2022-01-31 22:54:122022-02-01 00:00:003785851290129002022-09-26 전기차 충전 이력2022-09-26 18:16:18
충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량충전_시간전력_사용량_(경부하)전력_사용량_(중간부하)전력_사용량_(최대부하)비고생산_일시
202022-02-01 00:00:05KRPPKCS0001KRPPKCP000741117경기도수원시**** ***** *** ***<NA>12713D2022-01-31 23:37:222022-02-01 00:00:0041585828224428002022-09-26 전기차 충전 이력2022-09-26 18:16:18
212022-02-01 00:00:05KRPPKCS0034KRPPKCP021744133충청남도천안시**** ***3712713D2022-02-01 00:00:052022-02-01 00:42:4370959563063002022-09-26 전기차 충전 이력2022-09-26 18:16:18
222022-02-01 00:00:05KRPPKCS0051KRPPKCP032148123경상남도창원시***** *****3512913D2022-02-01 00:00:032022-02-01 00:19:41851008533194133002022-09-26 전기차 충전 이력2022-09-26 18:16:18
232022-02-01 00:00:05KRPPKCS0051KRPPKCP032248123경상남도창원시***** *****3512913D2022-01-31 23:34:352022-02-01 00:00:0051717150252650002022-09-26 전기차 충전 이력2022-09-26 18:16:18
242022-02-01 00:00:05KRPPKCS0051KRPPKCP032448123경상남도창원시***** *****3512913D2022-01-31 23:10:132022-02-01 00:00:0057969684084002022-09-26 전기차 충전 이력2022-09-26 18:16:18
252022-02-01 00:00:05KRPPKCS0051KRPPKCP032648123경상남도창원시***** *****3512913D2022-02-01 00:00:052022-02-01 00:46:40651006578078002022-09-26 전기차 충전 이력2022-09-26 18:16:18
262022-02-01 00:00:05KRPPKCS0053KRPPKCP033448125경상남도창원시**** *******3512913D2022-01-31 23:03:322022-02-01 00:24:0948100841390139002022-09-26 전기차 충전 이력2022-09-26 18:16:18
272022-02-01 00:00:05KRPPKCS0053KRPPKCP034248125경상남도창원시**** *******3512913D2022-01-31 23:14:322022-02-01 01:01:1940100631640164002022-09-26 전기차 충전 이력2022-09-26 18:16:18
282022-02-01 00:00:05KRPPKCS0066KRPPKCP050341480경기도파주시**** *******3812713D2022-02-01 00:00:052022-02-01 01:08:2361100941200120002022-09-26 전기차 충전 이력2022-09-26 18:16:18
292022-02-01 00:00:06KRPPKCS0001KRPPKCP000141117경기도수원시**** ***** *** ***<NA>12713D2022-01-31 23:59:562022-02-01 00:00:004243430100002022-09-26 전기차 충전 이력2022-09-26 18:16:18