Overview

Dataset statistics

Number of variables22
Number of observations7968
Missing cells7509
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory185.0 B

Variable types

Text4
Categorical5
Numeric9
DateTime4

Dataset

Description환경부 전기차 충전소 충전량(상세정보): 해당 데이터는 2023.10월 ~ 2024.1월 환경부 전기차 충전소 충전횟수, 충전량에 대한 데이터 입니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15126578/fileData.do

Alerts

충전기타입 is highly imbalanced (62.3%)Imbalance
충전기상태 is highly imbalanced (71.9%)Imbalance
충전중 충전시작일시 has 7372 (92.5%) missing valuesMissing
2023년 10월 충전횟수 has 290 (3.6%) zerosZeros
2023년 10월 충전량 has 290 (3.6%) zerosZeros
2023년 11월 충전횟수 has 220 (2.8%) zerosZeros
2023년 11월 충전량 has 220 (2.8%) zerosZeros
2023년 12월 충전횟수 has 203 (2.5%) zerosZeros
2023년 12월 충전량 has 203 (2.5%) zerosZeros
2024년 1월 충전횟수 has 120 (1.5%) zerosZeros
2024년 1월 충전량 has 120 (1.5%) zerosZeros

Reproduction

Analysis started2024-03-14 23:03:59.048034
Analysis finished2024-03-14 23:04:00.832653
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소명
Text

Distinct4438
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2024-03-15T08:04:01.651763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.5468122
Min length2

Characters and Unicode

Total characters76069
Distinct characters634
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2153 ?
Unique (%)27.0%

Sample

1st row수비면행정복지센터
2nd row음봉파출소
3rd row신관지구대
4th row외내산파출소
5th row신례원신암파출소
ValueCountFrequency (%)
주차장 880
 
6.7%
휴게소 599
 
4.6%
공영주차장 498
 
3.8%
롯데마트 149
 
1.1%
행정복지센터 84
 
0.6%
앞 68
 
0.5%
야외주차장 61
 
0.5%
충전소 59
 
0.5%
이마트 56
 
0.4%
농업기술센터 45
 
0.3%
Other values (4968) 10564
80.9%
2024-03-15T08:04:03.268853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5221
 
6.9%
주 3256
 
4.3%
장 3250
 
4.3%
차 2523
 
3.3%
공 1994
 
2.6%
소 1993
 
2.6%
산 1438
 
1.9%
원 1419
 
1.9%
사 1337
 
1.8%
지 1304
 
1.7%
Other values (624) 52334
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67436
88.7%
Space Separator 5221
 
6.9%
Close Punctuation 1039
 
1.4%
Open Punctuation 1039
 
1.4%
Decimal Number 907
 
1.2%
Uppercase Letter 297
 
0.4%
Lowercase Letter 50
 
0.1%
Other Symbol 26
 
< 0.1%
Dash Punctuation 25
 
< 0.1%
Other Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3256
 
4.8%
장 3250
 
4.8%
차 2523
 
3.7%
공 1994
 
3.0%
소 1993
 
3.0%
산 1438
 
2.1%
원 1419
 
2.1%
사 1337
 
2.0%
지 1304
 
1.9%
영 1122
 
1.7%
Other values (565) 47800
70.9%
Uppercase Letter
ValueCountFrequency (%)
G 27
 
9.1%
T 27
 
9.1%
S 26
 
8.8%
A 25
 
8.4%
C 23
 
7.7%
P 21
 
7.1%
I 21
 
7.1%
M 17
 
5.7%
D 16
 
5.4%
E 15
 
5.1%
Other values (13) 79
26.6%
Lowercase Letter
ValueCountFrequency (%)
k 9
18.0%
s 7
14.0%
b 5
10.0%
e 5
10.0%
o 5
10.0%
l 3
 
6.0%
i 3
 
6.0%
h 2
 
4.0%
p 2
 
4.0%
u 2
 
4.0%
Other values (4) 7
14.0%
Decimal Number
ValueCountFrequency (%)
1 334
36.8%
2 244
26.9%
3 103
 
11.4%
4 70
 
7.7%
5 41
 
4.5%
6 35
 
3.9%
8 31
 
3.4%
9 24
 
2.6%
7 14
 
1.5%
0 11
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 8
33.3%
/ 6
25.0%
: 4
16.7%
· 3
 
12.5%
, 3
 
12.5%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
5221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1039
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1039
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67462
88.7%
Common 8260
 
10.9%
Latin 347
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3256
 
4.8%
장 3250
 
4.8%
차 2523
 
3.7%
공 1994
 
3.0%
소 1993
 
3.0%
산 1438
 
2.1%
원 1419
 
2.1%
사 1337
 
2.0%
지 1304
 
1.9%
영 1122
 
1.7%
Other values (566) 47826
70.9%
Latin
ValueCountFrequency (%)
G 27
 
7.8%
T 27
 
7.8%
S 26
 
7.5%
A 25
 
7.2%
C 23
 
6.6%
P 21
 
6.1%
I 21
 
6.1%
M 17
 
4.9%
D 16
 
4.6%
E 15
 
4.3%
Other values (27) 129
37.2%
Common
ValueCountFrequency (%)
5221
63.2%
) 1039
 
12.6%
( 1039
 
12.6%
1 334
 
4.0%
2 244
 
3.0%
3 103
 
1.2%
4 70
 
0.8%
5 41
 
0.5%
6 35
 
0.4%
8 31
 
0.4%
Other values (11) 103
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67436
88.7%
ASCII 8604
 
11.3%
None 29
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5221
60.7%
) 1039
 
12.1%
( 1039
 
12.1%
1 334
 
3.9%
2 244
 
2.8%
3 103
 
1.2%
4 70
 
0.8%
5 41
 
0.5%
6 35
 
0.4%
8 31
 
0.4%
Other values (47) 447
 
5.2%
Hangul
ValueCountFrequency (%)
주 3256
 
4.8%
장 3250
 
4.8%
차 2523
 
3.7%
공 1994
 
3.0%
소 1993
 
3.0%
산 1438
 
2.1%
원 1419
 
2.1%
사 1337
 
2.0%
지 1304
 
1.9%
영 1122
 
1.7%
Other values (565) 47800
70.9%
None
ValueCountFrequency (%)
㈜ 26
89.7%
· 3
 
10.3%

충전소 주소
Text

Distinct4556
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2024-03-15T08:04:05.061547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length23.154493
Min length12

Characters and Unicode

Total characters184495
Distinct characters535
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2293 ?
Unique (%)28.8%

Sample

1st row 경상북도 영양군 수비면 한티로 503 경상북도 영양군 수비면 한티로 503
2nd row 충청남도 아산시 음봉면 음봉면로 19 충청남도 아산시 음봉면 음봉면로 19
3rd row 충청남도 공주시 신관동 674-4 충청남도 공주시 신관동 674-4
4th row 충청남도 부여군 외산면 외산로 69 충청남도 부여군 외산면 외산로 69
5th row 충청남도 예산군 예산읍 신례원로 181 충청남도 예산군 예산읍 신례원로 181
ValueCountFrequency (%)
경상북도 1053
 
2.7%
경기도 1037
 
2.6%
경상남도 808
 
2.0%
전라남도 803
 
2.0%
충청남도 763
 
1.9%
전북특별자치도 672
 
1.7%
강원특별자치도 668
 
1.7%
충청북도 557
 
1.4%
서울특별시 351
 
0.9%
제주특별자치도 346
 
0.9%
Other values (7470) 32609
82.2%
2024-03-15T08:04:07.231773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39160
 
21.2%
도 7488
 
4.1%
시 5930
 
3.2%
1 5664
 
3.1%
로 4503
 
2.4%
2 3962
 
2.1%
남 3479
 
1.9%
경 3262
 
1.8%
3 3015
 
1.6%
군 2925
 
1.6%
Other values (525) 105107
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113696
61.6%
Space Separator 39160
 
21.2%
Decimal Number 27865
 
15.1%
Dash Punctuation 2611
 
1.4%
Close Punctuation 382
 
0.2%
Open Punctuation 382
 
0.2%
Other Punctuation 322
 
0.2%
Uppercase Letter 76
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7488
 
6.6%
시 5930
 
5.2%
로 4503
 
4.0%
남 3479
 
3.1%
경 3262
 
2.9%
군 2925
 
2.6%
구 2895
 
2.5%
북 2781
 
2.4%
면 2724
 
2.4%
산 2557
 
2.2%
Other values (491) 75152
66.1%
Uppercase Letter
ValueCountFrequency (%)
B 44
57.9%
F 7
 
9.2%
A 3
 
3.9%
D 3
 
3.9%
T 2
 
2.6%
S 2
 
2.6%
G 2
 
2.6%
K 2
 
2.6%
E 2
 
2.6%
R 2
 
2.6%
Other values (5) 7
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 5664
20.3%
2 3962
14.2%
3 3015
10.8%
4 2569
9.2%
5 2447
8.8%
0 2249
 
8.1%
6 2163
 
7.8%
7 2114
 
7.6%
8 1863
 
6.7%
9 1819
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 297
92.2%
？ 15
 
4.7%
. 8
 
2.5%
* 2
 
0.6%
Space Separator
ValueCountFrequency (%)
39160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2611
100.0%
Close Punctuation
ValueCountFrequency (%)
) 382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113696
61.6%
Common 70722
38.3%
Latin 77
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7488
 
6.6%
시 5930
 
5.2%
로 4503
 
4.0%
남 3479
 
3.1%
경 3262
 
2.9%
군 2925
 
2.6%
구 2895
 
2.5%
북 2781
 
2.4%
면 2724
 
2.4%
산 2557
 
2.2%
Other values (491) 75152
66.1%
Common
ValueCountFrequency (%)
39160
55.4%
1 5664
 
8.0%
2 3962
 
5.6%
3 3015
 
4.3%
- 2611
 
3.7%
4 2569
 
3.6%
5 2447
 
3.5%
0 2249
 
3.2%
6 2163
 
3.1%
7 2114
 
3.0%
Other values (8) 4768
 
6.7%
Latin
ValueCountFrequency (%)
B 44
57.1%
F 7
 
9.1%
A 3
 
3.9%
D 3
 
3.9%
T 2
 
2.6%
S 2
 
2.6%
G 2
 
2.6%
K 2
 
2.6%
E 2
 
2.6%
R 2
 
2.6%
Other values (6) 8
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113696
61.6%
ASCII 70784
38.4%
None 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39160
55.3%
1 5664
 
8.0%
2 3962
 
5.6%
3 3015
 
4.3%
- 2611
 
3.7%
4 2569
 
3.6%
5 2447
 
3.5%
0 2249
 
3.2%
6 2163
 
3.1%
7 2114
 
3.0%
Other values (23) 4830
 
6.8%
Hangul
ValueCountFrequency (%)
도 7488
 
6.6%
시 5930
 
5.2%
로 4503
 
4.0%
남 3479
 
3.1%
경 3262
 
2.9%
군 2925
 
2.6%
구 2895
 
2.5%
북 2781
 
2.4%
면 2724
 
2.4%
산 2557
 
2.2%
Other values (491) 75152
66.1%
None
ValueCountFrequency (%)
？ 15
100.0%

대분류
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
공공시설
2749 
주차시설
1569 
휴게시설
805 
관광시설
800 
근린생활시설
715 
Other values (5)
1330 

Length

Max length6
Median length4
Mean length4.3340863
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공시설
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설

Common Values

ValueCountFrequency (%)
공공시설 2749
34.5%
주차시설 1569
19.7%
휴게시설 805
 
10.1%
관광시설 800
 
10.0%
근린생활시설 715
 
9.0%
교육문화시설 558
 
7.0%
상업시설 463
 
5.8%
기타시설 251
 
3.2%
공동주택시설 32
 
0.4%
차량정비시설 26
 
0.3%

Length

2024-03-15T08:04:07.558685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:07.884315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 2749
34.5%
주차시설 1569
19.7%
휴게시설 805
 
10.1%
관광시설 800
 
10.0%
근린생활시설 715
 
9.0%
교육문화시설 558
 
7.0%
상업시설 463
 
5.8%
기타시설 251
 
3.2%
공동주택시설 32
 
0.4%
차량정비시설 26
 
0.3%

소분류
Text

Distinct51
Distinct (%)0.6%
Missing35
Missing (%)0.4%
Memory size62.4 KiB
2024-03-15T08:04:08.752034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.3051809
Min length2

Characters and Unicode

Total characters34153
Distinct characters92
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주민센터
2nd row경찰서
3rd row경찰서
4th row경찰서
5th row경찰서
ValueCountFrequency (%)
공영주차장 1202
13.9%
공공기관 786
 
9.1%
주민센터 740
 
8.5%
휴게소 725
 
8.4%
고속도로 701
 
8.1%
지자체시설 664
 
7.7%
관공서 556
 
6.4%
공원 318
 
3.7%
경찰서 317
 
3.7%
마트(쇼핑몰 304
 
3.5%
Other values (42) 2345
27.1%
2024-03-15T08:04:09.709799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3926
 
11.5%
주 2401
 
7.0%
관 2072
 
6.1%
장 1977
 
5.8%
차 1569
 
4.6%
기 1258
 
3.7%
영 1220
 
3.6%
지 1107
 
3.2%
소 954
 
2.8%
서 938
 
2.7%
Other values (82) 16731
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32746
95.9%
Space Separator 725
 
2.1%
Open Punctuation 335
 
1.0%
Close Punctuation 335
 
1.0%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3926
 
12.0%
주 2401
 
7.3%
관 2072
 
6.3%
장 1977
 
6.0%
차 1569
 
4.8%
기 1258
 
3.8%
영 1220
 
3.7%
지 1107
 
3.4%
소 954
 
2.9%
서 938
 
2.9%
Other values (78) 15324
46.8%
Space Separator
ValueCountFrequency (%)
725
100.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32746
95.9%
Common 1395
 
4.1%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3926
 
12.0%
주 2401
 
7.3%
관 2072
 
6.3%
장 1977
 
6.0%
차 1569
 
4.8%
기 1258
 
3.8%
영 1220
 
3.7%
지 1107
 
3.4%
소 954
 
2.9%
서 938
 
2.9%
Other values (78) 15324
46.8%
Common
ValueCountFrequency (%)
725
52.0%
( 335
24.0%
) 335
24.0%
Latin
ValueCountFrequency (%)
C 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32746
95.9%
ASCII 1407
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3926
 
12.0%
주 2401
 
7.3%
관 2072
 
6.3%
장 1977
 
6.0%
차 1569
 
4.8%
기 1258
 
3.8%
영 1220
 
3.7%
지 1107
 
3.4%
소 954
 
2.9%
서 938
 
2.9%
Other values (78) 15324
46.8%
ASCII
ValueCountFrequency (%)
725
51.5%
( 335
23.8%
) 335
23.8%
C 12
 
0.9%

충전소ID
Text

Distinct4719
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2024-03-15T08:04:10.659048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters63744
Distinct characters29
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

Unique2457 ?
Unique (%)30.8%

Sample

1st rowME22D112
2nd rowME22D1F6
3rd rowME22D1F8
4th rowME22D1F9
5th rowME22D262
ValueCountFrequency (%)
me22m302 36
 
0.5%
me19x802 10
 
0.1%
me19x801 10
 
0.1%
me195011 10
 
0.1%
me22c801 8
 
0.1%
me19a801 8
 
0.1%
me20d801 8
 
0.1%
me20a803 8
 
0.1%
me20a802 8
 
0.1%
me22c802 8
 
0.1%
Other values (4709) 7854
98.6%
2024-03-15T08:04:11.822350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10231
16.1%
2 9416
14.8%
E 8289
13.0%
M 8010
12.6%
0 4781
7.5%
8 3346
 
5.2%
9 3167
 
5.0%
4 2873
 
4.5%
3 2438
 
3.8%
C 1895
 
3.0%
Other values (19) 9298
14.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40768
64.0%
Uppercase Letter 22811
35.8%
Lowercase Letter 165
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8289
36.3%
M 8010
35.1%
C 1895
 
8.3%
B 1622
 
7.1%
A 1518
 
6.7%
D 572
 
2.5%
X 315
 
1.4%
F 247
 
1.1%
Y 234
 
1.0%
Z 66
 
0.3%
Other values (4) 43
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 10231
25.1%
2 9416
23.1%
0 4781
11.7%
8 3346
 
8.2%
9 3167
 
7.8%
4 2873
 
7.0%
3 2438
 
6.0%
7 1571
 
3.9%
5 1508
 
3.7%
6 1437
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 70
42.4%
b 54
32.7%
c 23
 
13.9%
d 10
 
6.1%
e 8
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 40768
64.0%
Latin 22976
36.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8289
36.1%
M 8010
34.9%
C 1895
 
8.2%
B 1622
 
7.1%
A 1518
 
6.6%
D 572
 
2.5%
X 315
 
1.4%
F 247
 
1.1%
Y 234
 
1.0%
a 70
 
0.3%
Other values (9) 204
 
0.9%
Common
ValueCountFrequency (%)
1 10231
25.1%
2 9416
23.1%
0 4781
11.7%
8 3346
 
8.2%
9 3167
 
7.8%
4 2873
 
7.0%
3 2438
 
6.0%
7 1571
 
3.9%
5 1508
 
3.7%
6 1437
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63744
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10231
16.1%
2 9416
14.8%
E 8289
13.0%
M 8010
12.6%
0 4781
7.5%
8 3346
 
5.2%
9 3167
 
5.0%
4 2873
 
4.5%
3 2438
 
3.8%
C 1895
 
3.0%
Other values (19) 9298
14.6%

충전기ID
Real number (ℝ)

Distinct64
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.256777
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:12.252695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q322
95-th percentile81
Maximum98
Range97
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21.44231
Coefficient of variation (CV)1.4054285
Kurtosis4.4089166
Mean15.256777
Median Absolute Deviation (MAD)1
Skewness2.114515
Sum121566
Variance459.77264
MonotonicityNot monotonic
2024-03-15T08:04:12.888964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3151
39.5%
2 838
 
10.5%
21 823
 
10.3%
22 823
 
10.3%
11 353
 
4.4%
12 352
 
4.4%
91 207
 
2.6%
3 144
 
1.8%
52 113
 
1.4%
44 97
 
1.2%
Other values (54) 1067
 
13.4%
ValueCountFrequency (%)
1 3151
39.5%
2 838
 
10.5%
3 144
 
1.8%
4 83
 
1.0%
5 11
 
0.1%
6 8
 
0.1%
7 7
 
0.1%
8 7
 
0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
98 1
 
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%
94 5
 
0.1%
93 6
 
0.1%
92 40
 
0.5%
91 207
2.6%
89 2
 
< 0.1%
88 2
 
< 0.1%

충전기타입
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
DC콤보
6365 
DC차데모+AC3상+DC콤보
1570 
DC콤보(완속)
 
32
DC차데모+DC콤보
 
1

Length

Max length15
Median length4
Mean length6.1842369
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
DC콤보 6365
79.9%
DC차데모+AC3상+DC콤보 1570
 
19.7%
DC콤보(완속) 32
 
0.4%
DC차데모+DC콤보 1
 
< 0.1%

Length

2024-03-15T08:04:13.147556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:13.342561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 6365
79.9%
dc차데모+ac3상+dc콤보 1570
 
19.7%
dc콤보(완속 32
 
0.4%
dc차데모+dc콤보 1
 
< 0.1%

충전용량
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
급속(100kW단독)
3285 
급속(200kW동시)
2354 
급속(50kW)
944 
급속(100kW멀티)
478 
급속(100kW동시)
425 
Other values (5)
482 

Length

Max length12
Median length11
Mean length10.64508
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row급속(100kW단독)
2nd row급속(100kW단독)
3rd row급속(100kW단독)
4th row급속(100kW단독)
5th row급속(100kW단독)

Common Values

ValueCountFrequency (%)
급속(100kW단독) 3285
41.2%
급속(200kW동시) 2354
29.5%
급속(50kW) 944
 
11.8%
급속(100kW멀티) 478
 
6.0%
급속(100kW동시) 425
 
5.3%
급속(300kW동시) 200
 
2.5%
급속(400kW동시) 116
 
1.5%
급속(300kW단독) 98
 
1.2%
초급속(350kW단독) 36
 
0.5%
완속(30kW단독) 32
 
0.4%

Length

2024-03-15T08:04:13.595561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:14.003240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급속(100kw단독 3285
41.2%
급속(200kw동시 2354
29.5%
급속(50kw 944
 
11.8%
급속(100kw멀티 478
 
6.0%
급속(100kw동시 425
 
5.3%
급속(300kw동시 200
 
2.5%
급속(400kw동시 116
 
1.5%
급속(300kw단독 98
 
1.2%
초급속(350kw단독 36
 
0.5%
완속(30kw단독 32
 
0.4%

충전방식(단독_동시)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
단독
5117 
동시
2851 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독 5117
64.2%
동시 2851
35.8%

Length

2024-03-15T08:04:14.427782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:14.750683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독 5117
64.2%
동시 2851
35.8%

충전기상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
사용가능
6962 
충전중
 
680
통신이상
 
198
운영중지
 
57
알수없음
 
41

Length

Max length4
Median length4
Mean length3.9108936
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용가능 6962
87.4%
충전중 680
 
8.5%
통신이상 198
 
2.5%
운영중지 57
 
0.7%
알수없음 41
 
0.5%
점검중 30
 
0.4%

Length

2024-03-15T08:04:15.141138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:04:15.493037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용가능 6962
87.4%
충전중 680
 
8.5%
통신이상 198
 
2.5%
운영중지 57
 
0.7%
알수없음 41
 
0.5%
점검중 30
 
0.4%

상태정보수신일
Date

Distinct279
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Memory size62.4 KiB
Minimum1999-11-02 21:01:00
Maximum2024-02-06 10:39:00
2024-03-15T08:04:15.951891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:04:16.404703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전시작일시
Date

Distinct3312
Distinct (%)41.8%
Missing50
Missing (%)0.6%
Memory size62.4 KiB
Minimum1999-10-29 02:31:00
Maximum2024-02-06 10:13:00
2024-03-15T08:04:16.834889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:04:17.284824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전종료일시
Date

Distinct3278
Distinct (%)41.4%
Missing50
Missing (%)0.6%
Memory size62.4 KiB
Minimum1999-10-29 02:34:00
Maximum2024-02-06 10:16:00
2024-03-15T08:04:17.675421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:04:18.138177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

충전중 충전시작일시
Date

MISSING 

Distinct63
Distinct (%)10.6%
Missing7372
Missing (%)92.5%
Memory size62.4 KiB
Minimum2024-01-09 19:44:00
Maximum2024-02-06 10:17:00
2024-03-15T08:04:18.629356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:04:19.072697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2023년 10월 충전횟수
Real number (ℝ)

ZEROS 

Distinct456
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.21373
Minimum0
Maximum758
Zeros290
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:19.476945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q121
median51
Q3105
95-th percentile248.65
Maximum758
Range758
Interquartile range (IQR)84

Descriptive statistics

Standard deviation89.705242
Coefficient of variation (CV)1.1324456
Kurtosis9.2959948
Mean79.21373
Median Absolute Deviation (MAD)37
Skewness2.5700467
Sum631175
Variance8047.0304
MonotonicityNot monotonic
2024-03-15T08:04:19.870715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 290
 
3.6%
16 107
 
1.3%
10 103
 
1.3%
9 98
 
1.2%
2 94
 
1.2%
7 93
 
1.2%
21 89
 
1.1%
1 89
 
1.1%
14 89
 
1.1%
19 87
 
1.1%
Other values (446) 6829
85.7%
ValueCountFrequency (%)
0 290
3.6%
1 89
 
1.1%
2 94
 
1.2%
3 81
 
1.0%
4 68
 
0.9%
5 81
 
1.0%
6 72
 
0.9%
7 93
 
1.2%
8 85
 
1.1%
9 98
 
1.2%
ValueCountFrequency (%)
758 1
< 0.1%
733 1
< 0.1%
724 1
< 0.1%
711 1
< 0.1%
700 1
< 0.1%
696 1
< 0.1%
674 1
< 0.1%
670 1
< 0.1%
662 1
< 0.1%
654 1
< 0.1%

2023년 10월 충전량
Real number (ℝ)

ZEROS 

Distinct7595
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1786.6395
Minimum0
Maximum20128.36
Zeros290
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:20.314388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.1865
Q1453.5325
median1158.935
Q32340.4875
95-th percentile5610.5845
Maximum20128.36
Range20128.36
Interquartile range (IQR)1886.955

Descriptive statistics

Standard deviation2086.1623
Coefficient of variation (CV)1.1676459
Kurtosis12.200172
Mean1786.6395
Median Absolute Deviation (MAD)844.105
Skewness2.8626558
Sum14235944
Variance4352073.1
MonotonicityNot monotonic
2024-03-15T08:04:20.826414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 290
 
3.6%
0.9 2
 
< 0.1%
2233.67 2
 
< 0.1%
1006.78 2
 
< 0.1%
195.44 2
 
< 0.1%
352.18 2
 
< 0.1%
259.06 2
 
< 0.1%
489.44 2
 
< 0.1%
184.68 2
 
< 0.1%
1147.43 2
 
< 0.1%
Other values (7585) 7660
96.1%
ValueCountFrequency (%)
0.0 290
3.6%
0.24 1
 
< 0.1%
0.59 1
 
< 0.1%
0.63 1
 
< 0.1%
0.82 1
 
< 0.1%
0.9 2
 
< 0.1%
0.93 1
 
< 0.1%
0.99 1
 
< 0.1%
1.02 1
 
< 0.1%
1.03 2
 
< 0.1%
ValueCountFrequency (%)
20128.36 1
< 0.1%
19815.94 1
< 0.1%
19320.39 1
< 0.1%
17266.67 1
< 0.1%
17254.32 1
< 0.1%
17067.67 1
< 0.1%
16822.5 1
< 0.1%
16806.66 1
< 0.1%
16487.39 1
< 0.1%
16333.21 1
< 0.1%

2023년 11월 충전횟수
Real number (ℝ)

ZEROS 

Distinct487
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.865462
Minimum0
Maximum848
Zeros220
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:21.194131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q124
median58
Q3117
95-th percentile276.65
Maximum848
Range848
Interquartile range (IQR)93

Descriptive statistics

Standard deviation96.133958
Coefficient of variation (CV)1.0941041
Kurtosis8.0490962
Mean87.865462
Median Absolute Deviation (MAD)41
Skewness2.3958506
Sum700112
Variance9241.7379
MonotonicityNot monotonic
2024-03-15T08:04:21.478891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 220
 
2.8%
5 99
 
1.2%
13 94
 
1.2%
17 90
 
1.1%
12 86
 
1.1%
19 85
 
1.1%
27 83
 
1.0%
15 83
 
1.0%
20 83
 
1.0%
9 82
 
1.0%
Other values (477) 6963
87.4%
ValueCountFrequency (%)
0 220
2.8%
1 54
 
0.7%
2 64
 
0.8%
3 50
 
0.6%
4 71
 
0.9%
5 99
1.2%
6 75
 
0.9%
7 72
 
0.9%
8 81
 
1.0%
9 82
 
1.0%
ValueCountFrequency (%)
848 1
< 0.1%
774 1
< 0.1%
761 1
< 0.1%
754 2
< 0.1%
734 1
< 0.1%
731 1
< 0.1%
717 1
< 0.1%
676 1
< 0.1%
670 1
< 0.1%
668 1
< 0.1%

2023년 11월 충전량
Real number (ℝ)

ZEROS 

Distinct7672
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1938.5872
Minimum0
Maximum20421.94
Zeros220
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:22.056132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.408
Q1523.5925
median1276.01
Q32563.59
95-th percentile6023.4775
Maximum20421.94
Range20421.94
Interquartile range (IQR)2039.9975

Descriptive statistics

Standard deviation2178.081
Coefficient of variation (CV)1.1235404
Kurtosis10.661776
Mean1938.5872
Median Absolute Deviation (MAD)894.195
Skewness2.6784923
Sum15446663
Variance4744036.8
MonotonicityNot monotonic
2024-03-15T08:04:22.522279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 220
 
2.8%
0.37 4
 
0.1%
171.82 2
 
< 0.1%
2816.29 2
 
< 0.1%
2543.35 2
 
< 0.1%
112.3 2
 
< 0.1%
592.92 2
 
< 0.1%
505.62 2
 
< 0.1%
1082.8 2
 
< 0.1%
134.87 2
 
< 0.1%
Other values (7662) 7728
97.0%
ValueCountFrequency (%)
0.0 220
2.8%
0.16 1
 
< 0.1%
0.32 1
 
< 0.1%
0.33 1
 
< 0.1%
0.34 1
 
< 0.1%
0.35 2
 
< 0.1%
0.36 2
 
< 0.1%
0.37 4
 
0.1%
0.4 1
 
< 0.1%
0.43 1
 
< 0.1%
ValueCountFrequency (%)
20421.94 1
< 0.1%
20280.58 1
< 0.1%
19133.42 1
< 0.1%
19021.6 1
< 0.1%
18344.38 1
< 0.1%
18250.44 1
< 0.1%
18130.87 1
< 0.1%
17839.8 1
< 0.1%
17022.93 1
< 0.1%
16893.44 1
< 0.1%

2023년 12월 충전횟수
Real number (ℝ)

ZEROS 

Distinct499
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.551832
Minimum0
Maximum898
Zeros203
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:22.919241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q125
median62
Q3127
95-th percentile294
Maximum898
Range898
Interquartile range (IQR)102

Descriptive statistics

Standard deviation100.79991
Coefficient of variation (CV)1.0774765
Kurtosis7.2226271
Mean93.551832
Median Absolute Deviation (MAD)44
Skewness2.2652387
Sum745421
Variance10160.621
MonotonicityNot monotonic
2024-03-15T08:04:23.362717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 203
 
2.5%
11 93
 
1.2%
13 86
 
1.1%
8 84
 
1.1%
21 83
 
1.0%
10 82
 
1.0%
14 81
 
1.0%
18 79
 
1.0%
15 79
 
1.0%
28 78
 
1.0%
Other values (489) 7020
88.1%
ValueCountFrequency (%)
0 203
2.5%
1 52
 
0.7%
2 74
 
0.9%
3 61
 
0.8%
4 71
 
0.9%
5 74
 
0.9%
6 70
 
0.9%
7 72
 
0.9%
8 84
1.1%
9 71
 
0.9%
ValueCountFrequency (%)
898 1
< 0.1%
895 1
< 0.1%
858 1
< 0.1%
826 1
< 0.1%
743 1
< 0.1%
726 1
< 0.1%
709 1
< 0.1%
688 1
< 0.1%
680 1
< 0.1%
673 1
< 0.1%

2023년 12월 충전량
Real number (ℝ)

ZEROS 

Distinct7695
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2028.138
Minimum0
Maximum21681.59
Zeros203
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:23.704458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.722
Q1545.095
median1322.415
Q32684.845
95-th percentile6404.674
Maximum21681.59
Range21681.59
Interquartile range (IQR)2139.75

Descriptive statistics

Standard deviation2270.6399
Coefficient of variation (CV)1.1195688
Kurtosis10.373719
Mean2028.138
Median Absolute Deviation (MAD)939.13
Skewness2.6346052
Sum16160203
Variance5155805.6
MonotonicityNot monotonic
2024-03-15T08:04:24.210344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 203
 
2.5%
251.23 2
 
< 0.1%
454.36 2
 
< 0.1%
354.35 2
 
< 0.1%
293.92 2
 
< 0.1%
500.53 2
 
< 0.1%
3227.52 2
 
< 0.1%
496.53 2
 
< 0.1%
926.83 2
 
< 0.1%
1009.98 2
 
< 0.1%
Other values (7685) 7747
97.2%
ValueCountFrequency (%)
0.0 203
2.5%
0.45 1
 
< 0.1%
0.47 1
 
< 0.1%
0.62 1
 
< 0.1%
0.63 1
 
< 0.1%
0.78 1
 
< 0.1%
0.83 1
 
< 0.1%
0.84 1
 
< 0.1%
0.93 1
 
< 0.1%
1.01 1
 
< 0.1%
ValueCountFrequency (%)
21681.59 1
< 0.1%
21199.38 1
< 0.1%
20456.66 1
< 0.1%
20045.81 1
< 0.1%
19485.2 1
< 0.1%
17985.86 1
< 0.1%
17950.71 1
< 0.1%
17808.63 1
< 0.1%
17146.79 1
< 0.1%
16646.3 1
< 0.1%

2024년 1월 충전횟수
Real number (ℝ)

ZEROS 

Distinct477
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.708961
Minimum0
Maximum879
Zeros120
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:24.762095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q123
median57
Q3117
95-th percentile272
Maximum879
Range879
Interquartile range (IQR)94

Descriptive statistics

Standard deviation93.768878
Coefficient of variation (CV)1.0814208
Kurtosis7.5534083
Mean86.708961
Median Absolute Deviation (MAD)41
Skewness2.2994215
Sum690897
Variance8792.6025
MonotonicityNot monotonic
2024-03-15T08:04:25.261435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120
 
1.5%
7 106
 
1.3%
6 104
 
1.3%
27 100
 
1.3%
12 97
 
1.2%
5 96
 
1.2%
23 93
 
1.2%
2 93
 
1.2%
15 90
 
1.1%
9 86
 
1.1%
Other values (467) 6983
87.6%
ValueCountFrequency (%)
0 120
1.5%
1 81
1.0%
2 93
1.2%
3 79
1.0%
4 85
1.1%
5 96
1.2%
6 104
1.3%
7 106
1.3%
8 75
0.9%
9 86
1.1%
ValueCountFrequency (%)
879 1
< 0.1%
818 1
< 0.1%
803 1
< 0.1%
782 1
< 0.1%
737 1
< 0.1%
673 1
< 0.1%
666 1
< 0.1%
661 1
< 0.1%
659 1
< 0.1%
656 1
< 0.1%

2024년 1월 충전량
Real number (ℝ)

ZEROS 

Distinct7752
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1849.8385
Minimum0
Maximum20516.3
Zeros120
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size70.2 KiB
2024-03-15T08:04:25.769413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.238
Q1495.3525
median1201.38
Q32462.0325
95-th percentile5771.5345
Maximum20516.3
Range20516.3
Interquartile range (IQR)1966.68

Descriptive statistics

Standard deviation2081.2598
Coefficient of variation (CV)1.1251035
Kurtosis11.054193
Mean1849.8385
Median Absolute Deviation (MAD)864.11
Skewness2.6932215
Sum14739513
Variance4331642.3
MonotonicityNot monotonic
2024-03-15T08:04:26.315096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 120
 
1.5%
2.31 3
 
< 0.1%
1083.47 2
 
< 0.1%
603.02 2
 
< 0.1%
516.06 2
 
< 0.1%
514.45 2
 
< 0.1%
418.6 2
 
< 0.1%
427.46 2
 
< 0.1%
320.2 2
 
< 0.1%
1.05 2
 
< 0.1%
Other values (7742) 7829
98.3%
ValueCountFrequency (%)
0.0 120
1.5%
0.12 1
 
< 0.1%
0.21 1
 
< 0.1%
0.23 1
 
< 0.1%
0.25 1
 
< 0.1%
0.43 1
 
< 0.1%
0.47 1
 
< 0.1%
0.51 1
 
< 0.1%
0.6 2
 
< 0.1%
0.76 1
 
< 0.1%
ValueCountFrequency (%)
20516.3 1
< 0.1%
20133.87 1
< 0.1%
19209.83 1
< 0.1%
19034.19 1
< 0.1%
18584.97 1
< 0.1%
16725.27 1
< 0.1%
16441.92 1
< 0.1%
16030.58 1
< 0.1%
15527.58 1
< 0.1%
15290.75 1
< 0.1%

Sample

충전소명충전소 주소대분류소분류충전소ID충전기ID충전기타입충전용량충전방식(단독_동시)충전기상태상태정보수신일마지막 충전시작일시마지막 충전종료일시충전중 충전시작일시2023년 10월 충전횟수2023년 10월 충전량2023년 11월 충전횟수2023년 11월 충전량2023년 12월 충전횟수2023년 12월 충전량2024년 1월 충전횟수2024년 1월 충전량
0수비면행정복지센터경상북도 영양군 수비면 한티로 503 경상북도 영양군 수비면 한티로 503공공시설주민센터ME22D1121DC콤보급속(100kW단독)단독사용가능2024-02-06 10:13:00<NA><NA><NA>00.000.000.0873.12
1음봉파출소충청남도 아산시 음봉면 음봉면로 19 충청남도 아산시 음봉면 음봉면로 19근린생활시설경찰서ME22D1F61DC콤보급속(100kW단독)단독사용가능2024-02-06 10:13:002024-02-06 09:49:002024-02-06 10:06:00<NA>00.000.000.023.66
2신관지구대충청남도 공주시 신관동 674-4 충청남도 공주시 신관동 674-4근린생활시설경찰서ME22D1F81DC콤보급속(100kW단독)단독사용가능2024-02-06 10:14:002024-02-01 22:57:002024-02-01 23:35:00<NA>00.000.000.014161.38
3외내산파출소충청남도 부여군 외산면 외산로 69 충청남도 부여군 외산면 외산로 69근린생활시설경찰서ME22D1F91DC콤보급속(100kW단독)단독사용가능2024-02-06 10:16:002024-02-02 18:11:002024-02-02 18:26:00<NA>00.000.000.01053.9
4신례원신암파출소충청남도 예산군 예산읍 신례원로 181 충청남도 예산군 예산읍 신례원로 181근린생활시설경찰서ME22D2621DC콤보급속(100kW단독)단독사용가능2024-02-06 10:15:00<NA><NA><NA>00.000.000.021.58
5신례원신암파출소충청남도 예산군 예산읍 신례원로 181 충청남도 예산군 예산읍 신례원로 181근린생활시설경찰서ME22D2622DC콤보급속(100kW단독)단독사용가능2024-02-06 10:15:00<NA><NA><NA>00.000.000.021.38
6안면파출소충청남도 태안군 안면읍 장터로 145 충청남도 태안군 안면읍 장터로 145근린생활시설경찰서ME22D2631DC콤보급속(100kW단독)단독충전중2024-02-06 10:11:00<NA><NA>2024-02-06 09:47:0000.000.000.0519.44
7안면파출소충청남도 태안군 안면읍 장터로 145 충청남도 태안군 안면읍 장터로 145근린생활시설경찰서ME22D2632DC콤보급속(100kW단독)단독사용가능2024-02-06 10:13:00<NA><NA><NA>00.000.000.0410.74
8고성군청 후면주차장강원특별자치도 고성군 간성읍 하리 12 뒤편 주차장 우측공공시설관공서ME1740981DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2024-02-06 10:13:002024-02-03 16:48:002024-02-03 17:10:00<NA>46804.7223378.7628393.4933478.61
9속초시청 길건너 공영주차장강원특별자치도 속초시 중앙동 468-12주차시설공영주차장ME1740991DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2024-02-06 10:14:002024-02-05 15:41:002024-02-05 16:22:00<NA>1643103.521302452.271703388.921342743.56
충전소명충전소 주소대분류소분류충전소ID충전기ID충전기타입충전용량충전방식(단독_동시)충전기상태상태정보수신일마지막 충전시작일시마지막 충전종료일시충전중 충전시작일시2023년 10월 충전횟수2023년 10월 충전량2023년 11월 충전횟수2023년 11월 충전량2023년 12월 충전횟수2023년 12월 충전량2024년 1월 충전횟수2024년 1월 충전량
7958단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4022DC콤보급속(100kW단독)단독사용가능2024-02-06 10:05:002024-02-06 07:54:002024-02-06 08:34:00<NA>681815.44762027.431072969.05812263.96
7959단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4023DC콤보급속(100kW단독)단독사용가능2024-02-06 10:08:002024-02-05 16:12:002024-02-05 16:52:00<NA>1584054.641463797.171633814.851202898.64
7960단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4024DC콤보급속(100kW단독)단독사용가능2024-02-06 10:09:002024-02-06 08:28:002024-02-06 08:38:00<NA>1945164.981884525.492626573.982045180.3
7961오송읍 복지회관충청북도 청주시 흥덕구 오송읍 오송리 263-1 충청북도 청주시 흥덕구 오송읍 오송리 263-1근린생활시설복지관ME22D1831DC콤보급속(100kW단독)단독사용가능2024-02-06 10:13:002024-02-05 17:35:002024-02-05 17:46:00<NA>00.000.0516.6720373.76
7962강내파출소충청북도 청주시 흥덕구 강내면 가로수로 566 충청북도 청주시 흥덕구 강내면 가로수로 566근린생활시설경찰서ME22D1E41DC콤보급속(100kW단독)단독사용가능2024-02-06 10:11:002024-02-05 17:19:002024-02-05 17:33:00<NA>00.000.022.49795.84
7963가덕파출소충청북도 청주시 상당구 남일면 보청대로 4761 충청북도 청주시 상당구 남일면 보청대로 4761근린생활시설경찰서ME22D1E61DC콤보급속(100kW단독)단독통신이상2024-02-05 08:45:002024-01-25 13:22:002024-01-25 14:02:00<NA>00.000.000.0949.51
7964청주의료원 장례식장충청북도 청주시 서원구 흥덕로 48(사직동) 충청북도 청주시 서원구 흥덕로 48(사직동)기타시설기타ME22D4041DC콤보급속(100kW단독)단독알수없음2024-02-06 10:13:002024-01-28 20:22:002024-01-28 20:37:00<NA>00.000.025.3220305.63
7965청주의료원 장례식장충청북도 청주시 서원구 흥덕로 48(사직동) 충청북도 청주시 서원구 흥덕로 48(사직동)기타시설기타ME22D4042DC콤보급속(100kW단독)단독알수없음2024-02-06 10:13:002024-02-02 18:40:002024-02-02 18:47:00<NA>00.000.024.481148.77
7966청주의료원 장례식장충청북도 청주시 서원구 흥덕로 48(사직동) 충청북도 청주시 서원구 흥덕로 48(사직동)기타시설기타ME22D4043DC콤보급속(100kW단독)단독사용가능2024-02-06 10:12:002024-02-05 10:34:002024-02-05 10:51:00<NA>00.000.024.3950640.68
7967청주의료원 장례식장충청북도 청주시 서원구 흥덕로 48(사직동) 충청북도 청주시 서원구 흥덕로 48(사직동)기타시설기타ME22D4044DC콤보급속(100kW단독)단독사용가능2024-02-06 10:14:002024-02-06 10:06:002024-02-06 10:13:00<NA>00.000.024.3948652.06