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
Text3
Categorical11
Numeric6

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/e45079f0-54ff-421d-befe-47e9a3242bfb

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
위도 is highly imbalanced (51.4%)Imbalance

Reproduction

Analysis started2023-12-10 14:16:04.533790
Analysis finished2023-12-10 14:16:04.902064
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전_일시
Date

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-04-01 00:00:00
Maximum2023-04-01 00:00:02
2023-12-10T23:16:04.975744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:05.150550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

충전소_ID
Text

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:05.533525image/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

Unique11 ?
Unique (%)36.7%

Sample

1st rowKRPPKCS0149
2nd rowKRPPKCS0089
3rd rowKRPPKCS0084
4th rowKRPPKCS0149
5th rowKRPPKCS0084
ValueCountFrequency (%)
krppkcs0149 4
13.3%
krppkcs0084 4
13.3%
krppkcs0087 4
13.3%
krppkcs0089 3
10.0%
krppkcs0085 2
 
6.7%
krppkcs0020 2
 
6.7%
krppkcs0079 1
 
3.3%
krppkcs0112 1
 
3.3%
krppkcs0137 1
 
3.3%
krppkcs0018 1
 
3.3%
Other values (7) 7
23.3%
2023-12-10T23:16:06.233489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 60
18.2%
P 60
18.2%
0 57
17.3%
R 30
9.1%
C 30
9.1%
S 30
9.1%
8 17
 
5.2%
1 12
 
3.6%
4 10
 
3.0%
9 9
 
2.7%
Other values (4) 15
 
4.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
47.5%
8 17
 
14.2%
1 12
 
10.0%
4 10
 
8.3%
9 9
 
7.5%
7 6
 
5.0%
2 5
 
4.2%
5 3
 
2.5%
3 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
K 60
28.6%
P 60
28.6%
R 30
14.3%
C 30
14.3%
S 30
14.3%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
47.5%
8 17
 
14.2%
1 12
 
10.0%
4 10
 
8.3%
9 9
 
7.5%
7 6
 
5.0%
2 5
 
4.2%
5 3
 
2.5%
3 1
 
0.8%
Latin
ValueCountFrequency (%)
K 60
28.6%
P 60
28.6%
R 30
14.3%
C 30
14.3%
S 30
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 60
18.2%
P 60
18.2%
0 57
17.3%
R 30
9.1%
C 30
9.1%
S 30
9.1%
8 17
 
5.2%
1 12
 
3.6%
4 10
 
3.0%
9 9
 
2.7%
Other values (4) 15
 
4.5%

충전기_ID
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:06.664109image/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

Unique22 ?
Unique (%)73.3%

Sample

1st rowKRPPKCP1036
2nd rowKRPPKCP0659
3rd rowKRPPKCP0636
4th rowKRPPKCP1040
5th rowKRPPKCP0636
ValueCountFrequency (%)
krppkcp1036 2
 
6.7%
krppkcp0659 2
 
6.7%
krppkcp0636 2
 
6.7%
krppkcp0657 2
 
6.7%
krppkcp0148 1
 
3.3%
krppkcp0637 1
 
3.3%
krppkcp1034 1
 
3.3%
krppkcp0497 1
 
3.3%
krppkcp0103 1
 
3.3%
krppkcp0762 1
 
3.3%
Other values (16) 16
53.3%
2023-12-10T23:16:07.377937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
0 35
 
10.6%
R 30
 
9.1%
C 30
 
9.1%
6 24
 
7.3%
1 10
 
3.0%
3 10
 
3.0%
4 10
 
3.0%
5 9
 
2.7%
Other values (4) 22
 
6.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
29.2%
6 24
20.0%
1 10
 
8.3%
3 10
 
8.3%
4 10
 
8.3%
5 9
 
7.5%
7 8
 
6.7%
9 8
 
6.7%
2 3
 
2.5%
8 3
 
2.5%
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 35
29.2%
6 24
20.0%
1 10
 
8.3%
3 10
 
8.3%
4 10
 
8.3%
5 9
 
7.5%
7 8
 
6.7%
9 8
 
6.7%
2 3
 
2.5%
8 3
 
2.5%
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 35
 
10.6%
R 30
 
9.1%
C 30
 
9.1%
6 24
 
7.3%
1 10
 
3.0%
3 10
 
3.0%
4 10
 
3.0%
5 9
 
2.7%
Other values (4) 22
 
6.7%

시도_코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
41
21 
48
4 
11
3 
30
 
1
28
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
41 21
70.0%
48 4
 
13.3%
11 3
 
10.0%
30 1
 
3.3%
28 1
 
3.3%

Length

2023-12-10T23:16:07.704257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:07.884199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 21
70.0%
48 4
 
13.3%
11 3
 
10.0%
30 1
 
3.3%
28 1
 
3.3%

시군구_코드
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.66667
Minimum150
Maximum670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:08.062961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile150
Q1173.75
median310
Q3590
95-th percentile670
Maximum670
Range520
Interquartile range (IQR)416.25

Descriptive statistics

Standard deviation208.07962
Coefficient of variation (CV)0.55242376
Kurtosis-1.8382054
Mean376.66667
Median Absolute Deviation (MAD)160
Skewness0.20709229
Sum11300
Variance43297.126
MonotonicityNot monotonic
2023-12-10T23:16:08.272361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
590 6
20.0%
170 4
13.3%
150 4
13.3%
670 3
10.0%
210 3
10.0%
230 1
 
3.3%
570 1
 
3.3%
545 1
 
3.3%
185 1
 
3.3%
450 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
150 4
13.3%
170 4
13.3%
185 1
 
3.3%
190 1
 
3.3%
210 3
10.0%
220 1
 
3.3%
230 1
 
3.3%
390 1
 
3.3%
410 1
 
3.3%
450 1
 
3.3%
ValueCountFrequency (%)
670 3
10.0%
650 1
 
3.3%
590 6
20.0%
570 1
 
3.3%
545 1
 
3.3%
450 1
 
3.3%
410 1
 
3.3%
390 1
 
3.3%
230 1
 
3.3%
220 1
 
3.3%

시도_명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
21 
경상남도
4 
서울특별시
3 
대전광역시
 
1
인천광역시
 
1

Length

Max length5
Median length3
Mean length3.4666667
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 21
70.0%
경상남도 4
 
13.3%
서울특별시 3
 
10.0%
대전광역시 1
 
3.3%
인천광역시 1
 
3.3%

Length

2023-12-10T23:16:08.565909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:08.758806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 21
70.0%
경상남도 4
 
13.3%
서울특별시 3
 
10.0%
대전광역시 1
 
3.3%
인천광역시 1
 
3.3%

시군구_명
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:09.035974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1666667
Min length3

Characters and Unicode

Total characters95
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)33.3%

Sample

1st row진주시
2nd row여주시
3rd row화성시
4th row진주시
5th row화성시
ValueCountFrequency (%)
화성시 6
20.0%
진주시 4
13.3%
의정부시 4
13.3%
여주시 3
10.0%
광명시 3
10.0%
대덕구 1
 
3.3%
김포시 1
 
3.3%
금천구 1
 
3.3%
연수구 1
 
3.3%
하남시 1
 
3.3%
Other values (5) 5
16.7%
2023-12-10T23:16:09.614181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 26
27.4%
주 7
 
7.4%
화 6
 
6.3%
성 6
 
6.3%
구 5
 
5.3%
부 5
 
5.3%
진 4
 
4.2%
의 4
 
4.2%
정 4
 
4.2%
명 3
 
3.2%
Other values (18) 25
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
27.4%
주 7
 
7.4%
화 6
 
6.3%
성 6
 
6.3%
구 5
 
5.3%
부 5
 
5.3%
진 4
 
4.2%
의 4
 
4.2%
정 4
 
4.2%
명 3
 
3.2%
Other values (18) 25
26.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
27.4%
주 7
 
7.4%
화 6
 
6.3%
성 6
 
6.3%
구 5
 
5.3%
부 5
 
5.3%
진 4
 
4.2%
의 4
 
4.2%
정 4
 
4.2%
명 3
 
3.2%
Other values (18) 25
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 26
27.4%
주 7
 
7.4%
화 6
 
6.3%
성 6
 
6.3%
구 5
 
5.3%
부 5
 
5.3%
진 4
 
4.2%
의 4
 
4.2%
정 4
 
4.2%
명 3
 
3.2%
Other values (18) 25
26.3%

충전소_명
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
*******
14 
**** *****
6 
** *****
4 
**** ***
2 
**** *******
 
1
Other values (3)
3 

Length

Max length14
Median length13
Mean length8.5333333
Min length7

Unique

Unique4 ?
Unique (%)13.3%

Sample

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

Common Values

ValueCountFrequency (%)
******* 14
46.7%
**** ***** 6
20.0%
** ***** 4
 
13.3%
**** *** 2
 
6.7%
**** ******* 1
 
3.3%
**** ******* 1
 
3.3%
**** ****** 1
 
3.3%
**** *** ***** 1
 
3.3%

Length

2023-12-10T23:16:09.841493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:10.049102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47
100.0%

위도
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
37
25 
35
4 
36
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
37 25
83.3%
35 4
 
13.3%
36 1
 
3.3%

Length

2023-12-10T23:16:10.252173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:10.425968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37 25
83.3%
35 4
 
13.3%
36 1
 
3.3%

경도
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
126
14 
127
12 
128
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128
2nd row127
3rd row126
4th row128
5th row126

Common Values

ValueCountFrequency (%)
126 14
46.7%
127 12
40.0%
128 4
 
13.3%

Length

2023-12-10T23:16:10.608653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:10.796707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126 14
46.7%
127 12
40.0%
128 4
 
13.3%

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

2023-12-10T23:16:11.001857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:11.202504image/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

2023-12-10T23:16:11.375059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:11.534243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 30
100.0%

시작_일시
Date

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-04-01 00:00:00
Maximum2023-04-01 00:00:02
2023-12-10T23:16:11.671350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:11.919722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

종료_일시
Date

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-04-01 00:02:42
Maximum2023-04-01 01:31:52
2023-12-10T23:16:12.225145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:12.552426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

시작_SOC
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.3
Minimum43
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:12.773169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile50
Q157.75
median63
Q382.25
95-th percentile92.3
Maximum99
Range56
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.895382
Coefficient of variation (CV)0.21808759
Kurtosis-0.80282227
Mean68.3
Median Absolute Deviation (MAD)10
Skewness0.44666804
Sum2049
Variance221.87241
MonotonicityNot monotonic
2023-12-10T23:16:12.975990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
60 3
 
10.0%
73 3
 
10.0%
56 2
 
6.7%
61 2
 
6.7%
87 2
 
6.7%
85 2
 
6.7%
52 2
 
6.7%
63 2
 
6.7%
50 2
 
6.7%
57 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
43 1
 
3.3%
50 2
6.7%
52 2
6.7%
56 2
6.7%
57 1
 
3.3%
60 3
10.0%
61 2
6.7%
62 1
 
3.3%
63 2
6.7%
68 1
 
3.3%
ValueCountFrequency (%)
99 1
 
3.3%
95 1
 
3.3%
89 1
 
3.3%
87 2
6.7%
86 1
 
3.3%
85 2
6.7%
74 1
 
3.3%
73 3
10.0%
69 1
 
3.3%
68 1
 
3.3%

종료_SOC
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
100
21 
95
3 
97
 
2
98
 
2
99
 
2

Length

Max length3
Median length3
Mean length2.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 21
70.0%
95 3
 
10.0%
97 2
 
6.7%
98 2
 
6.7%
99 2
 
6.7%

Length

2023-12-10T23:16:13.206373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:13.874113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 21
70.0%
95 3
 
10.0%
97 2
 
6.7%
98 2
 
6.7%
99 2
 
6.7%

SOC_충전_량
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.233333
Minimum43
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:14.068664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile56
Q161.25
median73
Q386.75
95-th percentile94.55
Maximum99
Range56
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation14.658605
Coefficient of variation (CV)0.19746662
Kurtosis-1.0148259
Mean74.233333
Median Absolute Deviation (MAD)12.5
Skewness-0.08655749
Sum2227
Variance214.87471
MonotonicityNot monotonic
2023-12-10T23:16:14.262759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
73 3
 
10.0%
56 2
 
6.7%
94 2
 
6.7%
89 2
 
6.7%
60 2
 
6.7%
85 2
 
6.7%
61 2
 
6.7%
87 2
 
6.7%
74 1
 
3.3%
68 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
43 1
3.3%
56 2
6.7%
57 1
3.3%
60 2
6.7%
61 2
6.7%
62 1
3.3%
63 1
3.3%
64 1
3.3%
68 1
3.3%
69 1
3.3%
ValueCountFrequency (%)
99 1
3.3%
95 1
3.3%
94 2
6.7%
89 2
6.7%
87 2
6.7%
86 1
3.3%
85 2
6.7%
84 1
3.3%
80 1
3.3%
74 1
3.3%

전력_사용량
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.133333
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:14.475664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.25
Q135.5
median66
Q3110.5
95-th percentile139
Maximum153
Range152
Interquartile range (IQR)75

Descriptive statistics

Standard deviation44.216344
Coefficient of variation (CV)0.60459905
Kurtosis-1.1762502
Mean73.133333
Median Absolute Deviation (MAD)39
Skewness0.11590568
Sum2194
Variance1955.0851
MonotonicityNot monotonic
2023-12-10T23:16:14.762630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20 3
 
10.0%
121 2
 
6.7%
139 2
 
6.7%
40 2
 
6.7%
64 2
 
6.7%
75 1
 
3.3%
89 1
 
3.3%
153 1
 
3.3%
1 1
 
3.3%
109 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
1 1
 
3.3%
11 1
 
3.3%
16 1
 
3.3%
20 3
10.0%
31 1
 
3.3%
34 1
 
3.3%
40 2
6.7%
56 1
 
3.3%
60 1
 
3.3%
61 1
 
3.3%
ValueCountFrequency (%)
153 1
3.3%
139 2
6.7%
133 1
3.3%
121 2
6.7%
117 1
3.3%
111 1
3.3%
109 1
3.3%
100 1
3.3%
99 1
3.3%
89 1
3.3%

전력_사용_요금
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5315.8667
Minimum133
Maximum11112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:15.000325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile1003.6
Q12587
median4811.5
Q38019.5
95-th percentile10043
Maximum11112
Range10979
Interquartile range (IQR)5432.5

Descriptive statistics

Standard deviation3187.7676
Coefficient of variation (CV)0.59967034
Kurtosis-1.1744383
Mean5315.8667
Median Absolute Deviation (MAD)2796
Skewness0.12135408
Sum159476
Variance10161862
MonotonicityNot monotonic
2023-12-10T23:16:15.204652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8785 2
 
6.7%
1496 2
 
6.7%
10043 2
 
6.7%
4662 2
 
6.7%
7149 1
 
3.3%
1480 1
 
3.3%
6494 1
 
3.3%
11112 1
 
3.3%
133 1
 
3.3%
7889 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
133 1
3.3%
865 1
3.3%
1173 1
3.3%
1480 1
3.3%
1496 2
6.7%
2297 1
3.3%
2482 1
3.3%
2902 1
3.3%
2920 1
3.3%
4058 1
3.3%
ValueCountFrequency (%)
11112 1
3.3%
10043 2
6.7%
9646 1
3.3%
8785 2
6.7%
8474 1
3.3%
8063 1
3.3%
7889 1
3.3%
7229 1
3.3%
7149 1
3.3%
6494 1
3.3%

전력_사용_요금_(경부하)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5315.8667
Minimum133
Maximum11112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:16:15.433202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile1003.6
Q12587
median4811.5
Q38019.5
95-th percentile10043
Maximum11112
Range10979
Interquartile range (IQR)5432.5

Descriptive statistics

Standard deviation3187.7676
Coefficient of variation (CV)0.59967034
Kurtosis-1.1744383
Mean5315.8667
Median Absolute Deviation (MAD)2796
Skewness0.12135408
Sum159476
Variance10161862
MonotonicityNot monotonic
2023-12-10T23:16:15.632965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8785 2
 
6.7%
1496 2
 
6.7%
10043 2
 
6.7%
4662 2
 
6.7%
7149 1
 
3.3%
1480 1
 
3.3%
6494 1
 
3.3%
11112 1
 
3.3%
133 1
 
3.3%
7889 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
133 1
3.3%
865 1
3.3%
1173 1
3.3%
1480 1
3.3%
1496 2
6.7%
2297 1
3.3%
2482 1
3.3%
2902 1
3.3%
2920 1
3.3%
4058 1
3.3%
ValueCountFrequency (%)
11112 1
3.3%
10043 2
6.7%
9646 1
3.3%
8785 2
6.7%
8474 1
3.3%
8063 1
3.3%
7889 1
3.3%
7229 1
3.3%
7149 1
3.3%
6494 1
3.3%

전력_사용_요금_(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

2023-12-10T23:16:15.845452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:16.040947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

전력_사용_요금_(최대부하)
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

2023-12-10T23:16:16.200774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:16.354895image/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
2023-07-10 전기차 충전 요금 이력
30 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-10 전기차 충전 요금 이력
2nd row2023-07-10 전기차 충전 요금 이력
3rd row2023-07-10 전기차 충전 요금 이력
4th row2023-07-10 전기차 충전 요금 이력
5th row2023-07-10 전기차 충전 요금 이력

Common Values

ValueCountFrequency (%)
2023-07-10 전기차 충전 요금 이력 30
100.0%

Length

2023-12-10T23:16:16.502701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:16.640841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-10 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
Minimum2023-07-10 10:28:28
Maximum2023-07-10 10:28:28
2023-12-10T23:16:16.755388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:16.899790image/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
02023-04-01 00:00:00KRPPKCS0149KRPPKCP103648170경상남도진주시** *****3512813D2023-04-01 00:00:002023-04-01 01:09:39561005612187858785002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
12023-04-01 00:00:00KRPPKCS0089KRPPKCP065941670경기도여주시*******3712713D2023-04-01 00:00:002023-04-01 00:42:007395736446624662002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
22023-04-01 00:00:00KRPPKCS0084KRPPKCP063641590경기도화성시*******3712613D2023-04-01 00:00:002023-04-01 00:45:3950100942014961496002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
32023-04-01 00:00:01KRPPKCS0149KRPPKCP104048170경상남도진주시** *****3512813D2023-04-01 00:00:012023-04-01 00:57:00631006310072297229002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
42023-04-01 00:00:01KRPPKCS0084KRPPKCP063641590경기도화성시*******3712613D2023-04-01 00:00:002023-04-01 00:45:3950100942014961496002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
52023-04-01 00:00:01KRPPKCS0087KRPPKCP065041150경기도의정부시*******3712713D2023-04-01 00:00:012023-04-01 00:20:428997893122972297002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
62023-04-01 00:00:01KRPPKCS0089KRPPKCP066041670경기도여주시*******3712713D2023-04-01 00:00:012023-04-01 01:13:1162956211180638063002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
72023-04-01 00:00:01KRPPKCS0079KRPPKCP062641210경기도광명시**** *****3712613D2023-04-01 00:00:012023-04-01 01:15:17571005711784748474002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
82023-04-01 00:00:01KRPPKCS0084KRPPKCP063841590경기도화성시*******3712613D2023-04-01 00:00:012023-04-01 00:53:4273100738259375937002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
92023-04-01 00:00:01KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-04-01 00:00:012023-04-01 01:17:0960100601391004310043002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
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
202023-04-01 00:00:02KRPPKCS0028KRPPKCP055728185인천광역시연수구**** *******3712613D2023-04-01 00:00:022023-04-01 01:06:3286100866144504450002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
212023-04-01 00:00:02KRPPKCS0090KRPPKCP066441450경기도하남시*******3712713D2023-04-01 00:00:022023-04-01 01:27:00611006113396469646002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
222023-04-01 00:00:02KRPPKCS0089KRPPKCP065941670경기도여주시*******3712713D2023-04-01 00:00:002023-04-01 00:42:007395736446624662002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
232023-04-01 00:00:02KRPPKCS0105KRPPKCP076241220경기도평택시**** ******3712713D2023-04-01 00:00:022023-04-01 01:02:48611006110978897889002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
242023-04-01 00:00:02KRPPKCS0014KRPPKCP010311410서울특별시서대문구**** ***3712613D2023-04-01 00:00:022023-04-01 00:02:4299100991133133002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
252023-04-01 00:00:02KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-04-01 00:00:012023-04-01 01:17:0960100601391004310043002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
262023-04-01 00:00:02KRPPKCS0008KRPPKCP049741190경기도부천시**** *** *****3712613D2023-04-01 00:00:022023-04-01 01:31:524399431531111211112002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
272023-04-01 00:00:02KRPPKCS0149KRPPKCP103648170경상남도진주시** *****3512813D2023-04-01 00:00:002023-04-01 01:09:39561005612187858785002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
282023-04-01 00:00:02KRPPKCS0148KRPPKCP103411650서울특별시서초구**** ***3712613D2023-04-01 00:00:022023-04-01 00:51:0068100688964946494002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28
292023-04-01 00:00:02KRPPKCS0021KRPPKCP016041390경기도시흥시**** *****3712613D2023-04-01 00:00:022023-04-01 00:12:556097892014801480002023-07-10 전기차 충전 요금 이력2023-07-10 10:28:28