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

DateTime4
Categorical13
Text1
Numeric6

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/cb167047-3f65-4ee5-a101-cacf738511a6

Alerts

충전_구분 has constant value ""Constant
충전_방식 has constant value ""Constant
전력_사용_요금_(중간부하) has constant value ""Constant
전력_사용_요금_(최대부하) has constant value ""Constant
비고 has constant value ""Constant
생산_일시 has constant value ""Constant
전력_사용량 has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:55:59.429182
Analysis finished2023-12-10 13:55:59.884330
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-01 00:00:00
Maximum2023-07-01 00:00:04
2023-12-10T22:55:59.978716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:56:00.196712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

충전소_ID
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCS0113
KRPPKCS0087
KRPPKCS0097
KRPPKCS0071
KRPPKCS0149
Other values (6)
10 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowKRPPKCS0087
2nd rowKRPPKCS0149
3rd rowKRPPKCS0083
4th rowKRPPKCS0087
5th rowKRPPKCS0097

Common Values

ValueCountFrequency (%)
KRPPKCS0113 6
20.0%
KRPPKCS0087 5
16.7%
KRPPKCS0097 4
13.3%
KRPPKCS0071 3
10.0%
KRPPKCS0149 2
 
6.7%
KRPPKCS0083 2
 
6.7%
KRPPKCS0153 2
 
6.7%
KRPPKCS0090 2
 
6.7%
KRPPKCS0051 2
 
6.7%
KRPPKCS0041 1
 
3.3%

Length

2023-12-10T22:56:00.413158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
krppkcs0113 6
20.0%
krppkcs0087 5
16.7%
krppkcs0097 4
13.3%
krppkcs0071 3
10.0%
krppkcs0149 2
 
6.7%
krppkcs0083 2
 
6.7%
krppkcs0153 2
 
6.7%
krppkcs0090 2
 
6.7%
krppkcs0051 2
 
6.7%
krppkcs0041 1
 
3.3%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:56:00.668859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters330
Distinct characters14
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

Unique6 ?
Unique (%)20.0%

Sample

1st rowKRPPKCP0657
2nd rowKRPPKCP1039
3rd rowKRPPKCP0634
4th rowKRPPKCP0656
5th rowKRPPKCP0712
ValueCountFrequency (%)
krppkcp0657 3
 
10.0%
krppkcp0577 3
 
10.0%
krppkcp1051 2
 
6.7%
krppkcp0634 2
 
6.7%
krppkcp0656 2
 
6.7%
krppkcp0711 2
 
6.7%
krppkcp0712 2
 
6.7%
krppkcp0798 2
 
6.7%
krppkcp0797 2
 
6.7%
krppkcp0663 2
 
6.7%
Other values (7) 8
26.7%
2023-12-10T22:56:01.158053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
0 31
 
9.4%
R 30
 
9.1%
C 30
 
9.1%
7 21
 
6.4%
1 14
 
4.2%
6 13
 
3.9%
5 11
 
3.3%
3 10
 
3.0%
Other values (4) 20
 
6.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
25.8%
7 21
17.5%
1 14
11.7%
6 13
10.8%
5 11
 
9.2%
3 10
 
8.3%
9 10
 
8.3%
2 5
 
4.2%
8 3
 
2.5%
4 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 31
25.8%
7 21
17.5%
1 14
11.7%
6 13
10.8%
5 11
 
9.2%
3 10
 
8.3%
9 10
 
8.3%
2 5
 
4.2%
8 3
 
2.5%
4 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 31
 
9.4%
R 30
 
9.1%
C 30
 
9.1%
7 21
 
6.4%
1 14
 
4.2%
6 13
 
3.9%
5 11
 
3.3%
3 10
 
3.0%
Other values (4) 20
 
6.1%

시도_코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
41
13 
48
11 
11
26

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
41 13
43.3%
48 11
36.7%
11 4
 
13.3%
26 2
 
6.7%

Length

2023-12-10T22:56:01.414735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:01.583775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 13
43.3%
48 11
36.7%
11 4
 
13.3%
26 2
 
6.7%

시군구_코드
Real number (ℝ)

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.33333
Minimum117
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:01.749226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile119.7
Q1125
median160
Q3472.5
95-th percentile650
Maximum650
Range533
Interquartile range (IQR)347.5

Descriptive statistics

Standard deviation202.55886
Coefficient of variation (CV)0.67669998
Kurtosis-1.2431146
Mean299.33333
Median Absolute Deviation (MAD)40
Skewness0.63891635
Sum8980
Variance41030.092
MonotonicityNot monotonic
2023-12-10T22:56:01.922827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
125 6
20.0%
150 5
16.7%
650 4
13.3%
480 3
10.0%
170 2
 
6.7%
117 2
 
6.7%
410 2
 
6.7%
450 2
 
6.7%
123 2
 
6.7%
330 1
 
3.3%
ValueCountFrequency (%)
117 2
 
6.7%
123 2
 
6.7%
125 6
20.0%
150 5
16.7%
170 2
 
6.7%
330 1
 
3.3%
410 2
 
6.7%
450 2
 
6.7%
480 3
10.0%
570 1
 
3.3%
ValueCountFrequency (%)
650 4
13.3%
570 1
 
3.3%
480 3
10.0%
450 2
 
6.7%
410 2
 
6.7%
330 1
 
3.3%
170 2
 
6.7%
150 5
16.7%
125 6
20.0%
123 2
 
6.7%

시도_명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
13 
경상남도
11 
서울특별시
부산광역시

Length

Max length5
Median length4
Mean length3.7666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 13
43.3%
경상남도 11
36.7%
서울특별시 4
 
13.3%
부산광역시 2
 
6.7%

Length

2023-12-10T22:56:02.149763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:02.360697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 13
43.3%
경상남도 11
36.7%
서울특별시 4
 
13.3%
부산광역시 2
 
6.7%

시군구_명
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
창원시
의정부시
서초구
파주시
진주시
Other values (5)

Length

Max length4
Median length3
Mean length3.1666667
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row의정부시
2nd row진주시
3rd row수원시
4th row의정부시
5th row서초구

Common Values

ValueCountFrequency (%)
창원시 8
26.7%
의정부시 5
16.7%
서초구 4
13.3%
파주시 3
 
10.0%
진주시 2
 
6.7%
수원시 2
 
6.7%
금정구 2
 
6.7%
하남시 2
 
6.7%
양산시 1
 
3.3%
김포시 1
 
3.3%

Length

2023-12-10T22:56:02.556281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:02.818298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 8
26.7%
의정부시 5
16.7%
서초구 4
13.3%
파주시 3
 
10.0%
진주시 2
 
6.7%
수원시 2
 
6.7%
금정구 2
 
6.7%
하남시 2
 
6.7%
양산시 1
 
3.3%
김포시 1
 
3.3%

충전소_명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
**** ***
15 
*******
** *****
**** *****
***** *****

Length

Max length11
Median length8
Mean length8.0333333
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
**** *** 15
50.0%
******* 9
30.0%
** ***** 2
 
6.7%
**** ***** 2
 
6.7%
***** ***** 2
 
6.7%

Length

2023-12-10T22:56:03.192417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:03.427821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51
100.0%

위도
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
37
17 
35
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37
2nd row35
3rd row37
4th row37
5th row37

Common Values

ValueCountFrequency (%)
37 17
56.7%
35 13
43.3%

Length

2023-12-10T22:56:03.635705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:03.799618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37 17
56.7%
35 13
43.3%

경도
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
127
13 
128
10 
126
129

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127
2nd row128
3rd row127
4th row127
5th row127

Common Values

ValueCountFrequency (%)
127 13
43.3%
128 10
33.3%
126 4
 
13.3%
129 3
 
10.0%

Length

2023-12-10T22:56:03.966960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:04.135895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127 13
43.3%
128 10
33.3%
126 4
 
13.3%
129 3
 
10.0%

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

2023-12-10T22:56:04.311024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:04.545150image/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

2023-12-10T22:56:04.717742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:04.863748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 30
100.0%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-01 00:00:00
Maximum2023-07-01 00:00:04
2023-12-10T22:56:05.009516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:56:05.209309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-01 00:03:11
Maximum2023-07-01 02:02:27
2023-12-10T22:56:05.431235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:56:05.631076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

시작_SOC
Real number (ℝ)

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.233333
Minimum28
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:05.887358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile29.8
Q162
median78
Q392
95-th percentile97.55
Maximum98
Range70
Interquartile range (IQR)30

Descriptive statistics

Standard deviation22.724259
Coefficient of variation (CV)0.3102994
Kurtosis-0.22902685
Mean73.233333
Median Absolute Deviation (MAD)15
Skewness-0.92078818
Sum2197
Variance516.39195
MonotonicityNot monotonic
2023-12-10T22:56:06.153059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
87 3
10.0%
32 3
10.0%
92 3
10.0%
28 2
 
6.7%
78 2
 
6.7%
96 2
 
6.7%
62 2
 
6.7%
74 2
 
6.7%
98 2
 
6.7%
97 2
 
6.7%
Other values (6) 7
23.3%
ValueCountFrequency (%)
28 2
6.7%
32 3
10.0%
61 2
6.7%
62 2
6.7%
67 1
 
3.3%
72 1
 
3.3%
74 2
6.7%
75 1
 
3.3%
78 2
6.7%
80 1
 
3.3%
ValueCountFrequency (%)
98 2
6.7%
97 2
6.7%
96 2
6.7%
92 3
10.0%
87 3
10.0%
82 1
 
3.3%
80 1
 
3.3%
78 2
6.7%
75 1
 
3.3%
74 2
6.7%

종료_SOC
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
100
15 
98
95
94
99

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row95
2nd row100
3rd row94
4th row95
5th row100

Common Values

ValueCountFrequency (%)
100 15
50.0%
98 6
 
20.0%
95 5
 
16.7%
94 2
 
6.7%
99 2
 
6.7%

Length

2023-12-10T22:56:06.361068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:06.538663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 15
50.0%
98 6
 
20.0%
95 5
 
16.7%
94 2
 
6.7%
99 2
 
6.7%

SOC_충전_량
Real number (ℝ)

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.066667
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:06.721020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q17.25
median18
Q338
95-th percentile66
Maximum66
Range65
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation22.230661
Coefficient of variation (CV)0.88686149
Kurtosis-0.49422527
Mean25.066667
Median Absolute Deviation (MAD)14
Skewness0.83611197
Sum752
Variance494.2023
MonotonicityNot monotonic
2023-12-10T22:56:06.997961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
66 5
16.7%
8 4
13.3%
26 2
 
6.7%
17 2
 
6.7%
4 2
 
6.7%
38 2
 
6.7%
2 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
39 2
 
6.7%
Other values (4) 5
16.7%
ValueCountFrequency (%)
1 2
6.7%
2 2
6.7%
4 2
6.7%
7 2
6.7%
8 4
13.3%
17 2
6.7%
18 2
6.7%
25 1
 
3.3%
26 2
6.7%
28 1
 
3.3%
ValueCountFrequency (%)
66 5
16.7%
39 2
 
6.7%
38 2
 
6.7%
33 1
 
3.3%
28 1
 
3.3%
26 2
 
6.7%
25 1
 
3.3%
18 2
 
6.7%
17 2
 
6.7%
8 4
13.3%

전력_사용량
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.5
Minimum0
Maximum192
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:07.186816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q19.75
median45.5
Q3106
95-th percentile186.15
Maximum192
Range192
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation65.7549
Coefficient of variation (CV)0.98879549
Kurtosis-0.6913984
Mean66.5
Median Absolute Deviation (MAD)37
Skewness0.82551451
Sum1995
Variance4323.7069
MonotonicityNot monotonic
2023-12-10T22:56:07.572451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
29 3
 
10.0%
179 3
 
10.0%
73 2
 
6.7%
131 2
 
6.7%
12 2
 
6.7%
0 2
 
6.7%
3 2
 
6.7%
106 2
 
6.7%
9 2
 
6.7%
48 2
 
6.7%
Other values (7) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
2 1
 
3.3%
3 2
6.7%
8 1
 
3.3%
9 2
6.7%
12 2
6.7%
24 1
 
3.3%
29 3
10.0%
43 1
 
3.3%
48 2
6.7%
ValueCountFrequency (%)
192 2
6.7%
179 3
10.0%
131 2
6.7%
106 2
6.7%
74 1
 
3.3%
73 2
6.7%
72 1
 
3.3%
48 2
6.7%
43 1
 
3.3%
29 3
10.0%

전력_사용_요금
Real number (ℝ)

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5449.9667
Minimum43
Maximum16275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:07.757679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile121.75
Q1809.5
median3729.5
Q38462
95-th percentile15350.25
Maximum16275
Range16232
Interquartile range (IQR)7652.5

Descriptive statistics

Standard deviation5384.0556
Coefficient of variation (CV)0.98790615
Kurtosis-0.61120957
Mean5449.9667
Median Absolute Deviation (MAD)3014
Skewness0.85470731
Sum163499
Variance28988054
MonotonicityNot monotonic
2023-12-10T22:56:08.055532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2476 3
 
10.0%
14220 3
 
10.0%
5790 2
 
6.7%
11102 2
 
6.7%
1015 2
 
6.7%
43 2
 
6.7%
270 2
 
6.7%
8462 2
 
6.7%
741 2
 
6.7%
4081 2
 
6.7%
Other values (7) 8
26.7%
ValueCountFrequency (%)
43 2
6.7%
218 1
 
3.3%
270 2
6.7%
690 1
 
3.3%
741 2
6.7%
1015 2
6.7%
1906 1
 
3.3%
2476 3
10.0%
3378 1
 
3.3%
4081 2
6.7%
ValueCountFrequency (%)
16275 2
6.7%
14220 3
10.0%
11102 2
6.7%
8462 2
6.7%
5892 1
 
3.3%
5790 2
6.7%
5769 1
 
3.3%
4081 2
6.7%
3378 1
 
3.3%
2476 3
10.0%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5449.9667
Minimum43
Maximum16275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:56:08.231692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile121.75
Q1809.5
median3729.5
Q38462
95-th percentile15350.25
Maximum16275
Range16232
Interquartile range (IQR)7652.5

Descriptive statistics

Standard deviation5384.0556
Coefficient of variation (CV)0.98790615
Kurtosis-0.61120957
Mean5449.9667
Median Absolute Deviation (MAD)3014
Skewness0.85470731
Sum163499
Variance28988054
MonotonicityNot monotonic
2023-12-10T22:56:08.438644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2476 3
 
10.0%
14220 3
 
10.0%
5790 2
 
6.7%
11102 2
 
6.7%
1015 2
 
6.7%
43 2
 
6.7%
270 2
 
6.7%
8462 2
 
6.7%
741 2
 
6.7%
4081 2
 
6.7%
Other values (7) 8
26.7%
ValueCountFrequency (%)
43 2
6.7%
218 1
 
3.3%
270 2
6.7%
690 1
 
3.3%
741 2
6.7%
1015 2
6.7%
1906 1
 
3.3%
2476 3
10.0%
3378 1
 
3.3%
4081 2
6.7%
ValueCountFrequency (%)
16275 2
6.7%
14220 3
10.0%
11102 2
6.7%
8462 2
6.7%
5892 1
 
3.3%
5790 2
6.7%
5769 1
 
3.3%
4081 2
6.7%
3378 1
 
3.3%
2476 3
10.0%
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

2023-12-10T22:56:08.666989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:08.830356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
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

2023-12-10T22:56:08.974391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:09.182338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-12 전기차 충전 요금 이력
30 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-12 전기차 충전 요금 이력
2nd row2023-10-12 전기차 충전 요금 이력
3rd row2023-10-12 전기차 충전 요금 이력
4th row2023-10-12 전기차 충전 요금 이력
5th row2023-10-12 전기차 충전 요금 이력

Common Values

ValueCountFrequency (%)
2023-10-12 전기차 충전 요금 이력 30
100.0%

Length

2023-12-10T22:56:09.339077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:56:09.484178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-12 30
20.0%
전기차 30
20.0%
충전 30
20.0%
요금 30
20.0%
이력 30
20.0%

생산_일시
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-10-12 13:11:28
Maximum2023-10-12 13:11:28
2023-12-10T22:56:09.601736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:56:09.750150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량전력_사용_요금전력_사용_요금_(경부하)전력_사용_요금_(중간부하)전력_사용_요금_(최대부하)비고생산_일시
02023-07-01 00:00:00KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:14:47879582924762476002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
12023-07-01 00:00:00KRPPKCS0149KRPPKCP103948170경상남도진주시** *****3512813D2023-07-01 00:00:002023-07-01 00:43:2474100267357905790002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
22023-07-01 00:00:00KRPPKCS0083KRPPKCP063441117경기도수원시*******3712713D2023-07-01 00:00:002023-07-01 02:02:272894661921627516275002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
32023-07-01 00:00:00KRPPKCS0087KRPPKCP065641150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:31:357895174840814081002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
42023-07-01 00:00:00KRPPKCS0097KRPPKCP071211650서울특별시서초구**** ***3712713D2023-07-01 00:00:002023-07-01 00:07:519610049741741002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
52023-07-01 00:00:01KRPPKCS0071KRPPKCP057741480경기도파주시**** ***3712613D2023-07-01 00:00:012023-07-01 01:44:473298661791422014220002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
62023-07-01 00:00:01KRPPKCS0083KRPPKCP063441117경기도수원시*******3712713D2023-07-01 00:00:002023-07-01 02:02:272894661921627516275002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
72023-07-01 00:00:01KRPPKCS0097KRPPKCP071111650서울특별시서초구**** ***3712713D2023-07-01 00:00:012023-07-01 01:01:58621003810684628462002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
82023-07-01 00:00:01KRPPKCS0097KRPPKCP071211650서울특별시서초구**** ***3712713D2023-07-01 00:00:002023-07-01 00:07:519610049741741002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
92023-07-01 00:00:01KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:14:47879582924762476002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량전력_사용_요금전력_사용_요금_(경부하)전력_사용_요금_(중간부하)전력_사용_요금_(최대부하)비고생산_일시
202023-07-01 00:00:03KRPPKCS0090KRPPKCP066341450경기도하남시*******3712713D2023-07-01 00:00:022023-07-01 01:25:4561100391311110211102002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
212023-07-01 00:00:03KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:14:47879582924762476002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
222023-07-01 00:00:03KRPPKCS0097KRPPKCP071111650서울특별시서초구**** ***3712713D2023-07-01 00:00:012023-07-01 01:01:58621003810684628462002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
232023-07-01 00:00:03KRPPKCS0153KRPPKCP105126410부산광역시금정구**** ***3512913D2023-07-01 00:00:022023-07-01 00:03:119798104343002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
242023-07-01 00:00:04KRPPKCS0041KRPPKCP091048330경상남도양산시**** *****3512913D2023-07-01 00:00:042023-07-01 00:34:2582100184333783378002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
252023-07-01 00:00:04KRPPKCS0072KRPPKCP058341570경기도김포시**** *****3712613D2023-07-01 00:00:042023-07-01 00:15:018098182218218002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
262023-07-01 00:00:04KRPPKCS0051KRPPKCP032148123경상남도창원시***** *****3512813D2023-07-01 00:00:042023-07-01 00:39:2467100337458925892002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
272023-07-01 00:00:04KRPPKCS0113KRPPKCP079848125경상남도창원시**** ***3512813D2023-07-01 00:00:022023-07-01 00:04:599810023270270002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
282023-07-01 00:00:04KRPPKCS0071KRPPKCP057741480경기도파주시**** ***3712613D2023-07-01 00:00:012023-07-01 01:44:473298661791422014220002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28
292023-07-01 00:00:04KRPPKCS0051KRPPKCP032248123경상남도창원시***** *****3512813D2023-07-01 00:00:042023-07-01 00:38:1072100287257695769002023-10-12 전기차 충전 요금 이력2023-10-12 13:11:28