Overview

Dataset statistics

Number of variables32
Number of observations7763
Missing cells7210
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory275.0 B

Variable types

Text4
Categorical5
Numeric19
DateTime4

Dataset

Description환경부 전기차 충전소 충전량: 해당 데이터는 환경부 전기차 충전소 충전횟수, 충전량에 대한 샘플데이터 입니다. 20231030
Author한국환경공단
URLhttps://www.data.go.kr/data/15124713/fileData.do

Alerts

충전기타입 is highly imbalanced (53.5%)Imbalance
충전기상태 is highly imbalanced (63.6%)Imbalance
충전중 충전시작일시 has 7091 (91.3%) missing valuesMissing
2023년 01월 충전횟수 has 772 (9.9%) zerosZeros
2023년 01월 충전량 has 772 (9.9%) zerosZeros
2023년 02월 충전횟수 has 689 (8.9%) zerosZeros
2023년 02월 충전량 has 689 (8.9%) zerosZeros
2023년 03월 충전횟수 has 646 (8.3%) zerosZeros
2023년 03월 충전량 has 646 (8.3%) zerosZeros
2023년 04월 충전횟수 has 717 (9.2%) zerosZeros
2023년 04월 충전량 has 717 (9.2%) zerosZeros
2023년 05월 충전횟수 has 681 (8.8%) zerosZeros
2023년 05월 충전량 has 681 (8.8%) zerosZeros
2023년 06월 충전횟수 has 542 (7.0%) zerosZeros
2023년 06월 충전량 has 542 (7.0%) zerosZeros
2023년 07월 충전횟수 has 524 (6.7%) zerosZeros
2023년 07월 충전량 has 524 (6.7%) zerosZeros
2023년 08월 충전횟수 has 599 (7.7%) zerosZeros
2023년 08월 충전량 has 599 (7.7%) zerosZeros
2023년 09월 충전횟수 has 393 (5.1%) zerosZeros
2023년 09월 충전량 has 393 (5.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:33:38.823213
Analysis finished2023-12-12 17:33:40.348004
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소명
Text

Distinct4326
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-13T02:33:40.569045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.5778694
Min length2

Characters and Unicode

Total characters74353
Distinct characters633
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

Unique2099 ?
Unique (%)27.0%

Sample

1st row고성군청 후면주차장
2nd row속초시청 길건너 공영주차장
3rd row양구 5일장 앞 공영주차장
4th row정선종합운동장
5th row태백시청 후문 주차장
ValueCountFrequency (%)
주차장 866
 
6.8%
휴게소 609
 
4.8%
공영주차장 475
 
3.7%
롯데마트 160
 
1.3%
행정복지센터 83
 
0.6%
앞 69
 
0.5%
야외주차장 61
 
0.5%
이마트 56
 
0.4%
충전소 55
 
0.4%
농업기술센터 45
 
0.4%
Other values (4855) 10304
80.6%
2023-12-13T02:33:41.053967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5141
 
6.9%
주 3152
 
4.2%
장 3145
 
4.2%
차 2444
 
3.3%
소 1949
 
2.6%
공 1941
 
2.6%
산 1408
 
1.9%
원 1381
 
1.9%
사 1320
 
1.8%
지 1256
 
1.7%
Other values (623) 51216
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65839
88.5%
Space Separator 5141
 
6.9%
Close Punctuation 1036
 
1.4%
Open Punctuation 1036
 
1.4%
Decimal Number 883
 
1.2%
Uppercase Letter 291
 
0.4%
Lowercase Letter 50
 
0.1%
Other Symbol 26
 
< 0.1%
Other Punctuation 24
 
< 0.1%
Dash Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3152
 
4.8%
장 3145
 
4.8%
차 2444
 
3.7%
소 1949
 
3.0%
공 1941
 
2.9%
산 1408
 
2.1%
원 1381
 
2.1%
사 1320
 
2.0%
지 1256
 
1.9%
영 1079
 
1.6%
Other values (564) 46764
71.0%
Uppercase Letter
ValueCountFrequency (%)
G 27
 
9.3%
T 27
 
9.3%
S 27
 
9.3%
A 25
 
8.6%
P 21
 
7.2%
C 19
 
6.5%
M 17
 
5.8%
I 17
 
5.8%
D 16
 
5.5%
E 15
 
5.2%
Other values (13) 80
27.5%
Lowercase Letter
ValueCountFrequency (%)
k 9
18.0%
s 7
14.0%
e 5
10.0%
b 5
10.0%
o 5
10.0%
l 3
 
6.0%
i 3
 
6.0%
u 2
 
4.0%
p 2
 
4.0%
h 2
 
4.0%
Other values (4) 7
14.0%
Decimal Number
ValueCountFrequency (%)
1 317
35.9%
2 242
27.4%
3 102
 
11.6%
4 67
 
7.6%
5 41
 
4.6%
6 34
 
3.9%
8 31
 
3.5%
9 24
 
2.7%
7 14
 
1.6%
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 (%)
5141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1036
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1036
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65865
88.6%
Common 8147
 
11.0%
Latin 341
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3152
 
4.8%
장 3145
 
4.8%
차 2444
 
3.7%
소 1949
 
3.0%
공 1941
 
2.9%
산 1408
 
2.1%
원 1381
 
2.1%
사 1320
 
2.0%
지 1256
 
1.9%
영 1079
 
1.6%
Other values (565) 46790
71.0%
Latin
ValueCountFrequency (%)
G 27
 
7.9%
T 27
 
7.9%
S 27
 
7.9%
A 25
 
7.3%
P 21
 
6.2%
C 19
 
5.6%
M 17
 
5.0%
I 17
 
5.0%
D 16
 
4.7%
E 15
 
4.4%
Other values (27) 130
38.1%
Common
ValueCountFrequency (%)
5141
63.1%
) 1036
 
12.7%
( 1036
 
12.7%
1 317
 
3.9%
2 242
 
3.0%
3 102
 
1.3%
4 67
 
0.8%
5 41
 
0.5%
6 34
 
0.4%
8 31
 
0.4%
Other values (11) 100
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65839
88.5%
ASCII 8485
 
11.4%
None 29
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5141
60.6%
) 1036
 
12.2%
( 1036
 
12.2%
1 317
 
3.7%
2 242
 
2.9%
3 102
 
1.2%
4 67
 
0.8%
5 41
 
0.5%
6 34
 
0.4%
8 31
 
0.4%
Other values (47) 438
 
5.2%
Hangul
ValueCountFrequency (%)
주 3152
 
4.8%
장 3145
 
4.8%
차 2444
 
3.7%
소 1949
 
3.0%
공 1941
 
2.9%
산 1408
 
2.1%
원 1381
 
2.1%
사 1320
 
2.0%
지 1256
 
1.9%
영 1079
 
1.6%
Other values (564) 46764
71.0%
None
ValueCountFrequency (%)
㈜ 26
89.7%
· 3
 
10.3%

충전소 주소
Text

Distinct4437
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-13T02:33:41.500450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length22.533428
Min length12

Characters and Unicode

Total characters174927
Distinct characters534
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

Unique2229 ?
Unique (%)28.7%

Sample

1st row강원특별자치도 고성군 간성읍 하리 12 뒤편 주차장 우측
2nd row강원특별자치도 속초시 중앙동 468-12
3rd row강원특별자치도 양구군 양구읍 사명길 37-4
4th row강원특별자치도 정선군 정선읍 애산리 768 보조경기장 옆
5th row강원특별자치도 태백시 황지동 244-3
ValueCountFrequency (%)
경상북도 1008
 
2.7%
경기도 947
 
2.5%
경상남도 786
 
2.1%
전라남도 774
 
2.0%
충청남도 711
 
1.9%
강원특별자치도 667
 
1.8%
전라북도 638
 
1.7%
충청북도 541
 
1.4%
서울특별시 348
 
0.9%
제주특별자치도 343
 
0.9%
Other values (7334) 31192
82.2%
2023-12-13T02:33:42.136690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37602
 
21.5%
도 7164
 
4.1%
시 5643
 
3.2%
1 5383
 
3.1%
로 4251
 
2.4%
2 3778
 
2.2%
남 3332
 
1.9%
경 3097
 
1.8%
3 2840
 
1.6%
군 2817
 
1.6%
Other values (524) 99020
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107100
61.2%
Space Separator 37602
 
21.5%
Decimal Number 26596
 
15.2%
Dash Punctuation 2477
 
1.4%
Close Punctuation 374
 
0.2%
Open Punctuation 374
 
0.2%
Other Punctuation 327
 
0.2%
Uppercase Letter 76
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7164
 
6.7%
시 5643
 
5.3%
로 4251
 
4.0%
남 3332
 
3.1%
경 3097
 
2.9%
군 2817
 
2.6%
구 2777
 
2.6%
면 2657
 
2.5%
북 2656
 
2.5%
산 2441
 
2.3%
Other values (490) 70265
65.6%
Uppercase Letter
ValueCountFrequency (%)
B 44
57.9%
F 7
 
9.2%
A 3
 
3.9%
D 3
 
3.9%
C 2
 
2.6%
K 2
 
2.6%
R 2
 
2.6%
E 2
 
2.6%
S 2
 
2.6%
G 2
 
2.6%
Other values (5) 7
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 5383
20.2%
2 3778
14.2%
3 2840
10.7%
4 2408
9.1%
5 2372
8.9%
0 2187
8.2%
6 2067
 
7.8%
7 2024
 
7.6%
9 1770
 
6.7%
8 1767
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 302
92.4%
？ 15
 
4.6%
. 8
 
2.4%
* 2
 
0.6%
Space Separator
ValueCountFrequency (%)
37602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2477
100.0%
Close Punctuation
ValueCountFrequency (%)
) 374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 374
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107100
61.2%
Common 67750
38.7%
Latin 77
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7164
 
6.7%
시 5643
 
5.3%
로 4251
 
4.0%
남 3332
 
3.1%
경 3097
 
2.9%
군 2817
 
2.6%
구 2777
 
2.6%
면 2657
 
2.5%
북 2656
 
2.5%
산 2441
 
2.3%
Other values (490) 70265
65.6%
Common
ValueCountFrequency (%)
37602
55.5%
1 5383
 
7.9%
2 3778
 
5.6%
3 2840
 
4.2%
- 2477
 
3.7%
4 2408
 
3.6%
5 2372
 
3.5%
0 2187
 
3.2%
6 2067
 
3.1%
7 2024
 
3.0%
Other values (8) 4612
 
6.8%
Latin
ValueCountFrequency (%)
B 44
57.1%
F 7
 
9.1%
A 3
 
3.9%
D 3
 
3.9%
C 2
 
2.6%
K 2
 
2.6%
R 2
 
2.6%
E 2
 
2.6%
S 2
 
2.6%
G 2
 
2.6%
Other values (6) 8
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107100
61.2%
ASCII 67812
38.8%
None 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37602
55.5%
1 5383
 
7.9%
2 3778
 
5.6%
3 2840
 
4.2%
- 2477
 
3.7%
4 2408
 
3.6%
5 2372
 
3.5%
0 2187
 
3.2%
6 2067
 
3.0%
7 2024
 
3.0%
Other values (23) 4674
 
6.9%
Hangul
ValueCountFrequency (%)
도 7164
 
6.7%
시 5643
 
5.3%
로 4251
 
4.0%
남 3332
 
3.1%
경 3097
 
2.9%
군 2817
 
2.6%
구 2777
 
2.6%
면 2657
 
2.5%
북 2656
 
2.5%
산 2441
 
2.3%
Other values (490) 70265
65.6%
None
ValueCountFrequency (%)
？ 15
100.0%

대분류
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
공공시설
2696 
주차시설
1519 
휴게시설
799 
관광시설
792 
근린생활시설
631 
Other values (5)
1326 

Length

Max length6
Median length4
Mean length4.3212676
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 2696
34.7%
주차시설 1519
19.6%
휴게시설 799
 
10.3%
관광시설 792
 
10.2%
근린생활시설 631
 
8.1%
교육문화시설 557
 
7.2%
상업시설 474
 
6.1%
기타시설 236
 
3.0%
공동주택시설 32
 
0.4%
차량정비시설 27
 
0.3%

Length

2023-12-13T02:33:42.280730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:33:42.406052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 2696
34.7%
주차시설 1519
19.6%
휴게시설 799
 
10.3%
관광시설 792
 
10.2%
근린생활시설 631
 
8.1%
교육문화시설 557
 
7.2%
상업시설 474
 
6.1%
기타시설 236
 
3.0%
공동주택시설 32
 
0.4%
차량정비시설 27
 
0.3%

소분류
Text

Distinct51
Distinct (%)0.7%
Missing39
Missing (%)0.5%
Memory size60.8 KiB
2023-12-13T02:33:42.602130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.3323408
Min length2

Characters and Unicode

Total characters33463
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 row관공서
2nd row공영주차장
3rd row공영주차장
4th row지자체시설
5th row관공서
ValueCountFrequency (%)
공영주차장 1162
13.8%
공공기관 773
 
9.1%
주민센터 731
 
8.7%
휴게소 726
 
8.6%
고속도로 704
 
8.3%
지자체시설 656
 
7.8%
관공서 531
 
6.3%
마트(쇼핑몰 315
 
3.7%
공원 313
 
3.7%
경찰서 257
 
3.0%
Other values (42) 2282
27.0%
2023-12-13T02:33:42.916742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3828
 
11.4%
주 2338
 
7.0%
관 2017
 
6.0%
장 1927
 
5.8%
차 1519
 
4.5%
기 1229
 
3.7%
영 1180
 
3.5%
지 1083
 
3.2%
소 945
 
2.8%
서 853
 
2.5%
Other values (82) 16544
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32033
95.7%
Space Separator 726
 
2.2%
Close Punctuation 346
 
1.0%
Open Punctuation 346
 
1.0%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3828
 
12.0%
주 2338
 
7.3%
관 2017
 
6.3%
장 1927
 
6.0%
차 1519
 
4.7%
기 1229
 
3.8%
영 1180
 
3.7%
지 1083
 
3.4%
소 945
 
3.0%
서 853
 
2.7%
Other values (78) 15114
47.2%
Space Separator
ValueCountFrequency (%)
726
100.0%
Close Punctuation
ValueCountFrequency (%)
) 346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 346
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32033
95.7%
Common 1418
 
4.2%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3828
 
12.0%
주 2338
 
7.3%
관 2017
 
6.3%
장 1927
 
6.0%
차 1519
 
4.7%
기 1229
 
3.8%
영 1180
 
3.7%
지 1083
 
3.4%
소 945
 
3.0%
서 853
 
2.7%
Other values (78) 15114
47.2%
Common
ValueCountFrequency (%)
726
51.2%
) 346
24.4%
( 346
24.4%
Latin
ValueCountFrequency (%)
C 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32033
95.7%
ASCII 1430
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3828
 
12.0%
주 2338
 
7.3%
관 2017
 
6.3%
장 1927
 
6.0%
차 1519
 
4.7%
기 1229
 
3.8%
영 1180
 
3.7%
지 1083
 
3.4%
소 945
 
3.0%
서 853
 
2.7%
Other values (78) 15114
47.2%
ASCII
ValueCountFrequency (%)
726
50.8%
) 346
24.2%
( 346
24.2%
C 12
 
0.8%

충전소ID
Text

Distinct4587
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-13T02:33:43.174225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters62104
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

Unique2381 ?
Unique (%)30.7%

Sample

1st rowME174098
2nd rowME174099
3rd rowME174100
4th rowME174101
5th rowME174102
ValueCountFrequency (%)
me22m302 36
 
0.5%
me19x802 10
 
0.1%
me195011 10
 
0.1%
me19x801 10
 
0.1%
me20d801 8
 
0.1%
me22c802 8
 
0.1%
me21b801 8
 
0.1%
me19a801 8
 
0.1%
me20a801 8
 
0.1%
me19w401 8
 
0.1%
Other values (4577) 7649
98.5%
2023-12-13T02:33:43.576119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10144
16.3%
2 8821
14.2%
E 8082
13.0%
M 7805
12.6%
0 4723
7.6%
8 3356
 
5.4%
9 3145
 
5.1%
4 2824
 
4.5%
3 2381
 
3.8%
C 1819
 
2.9%
Other values (19) 9004
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39813
64.1%
Uppercase Letter 22126
35.6%
Lowercase Letter 165
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8082
36.5%
M 7805
35.3%
C 1819
 
8.2%
B 1605
 
7.3%
A 1490
 
6.7%
D 431
 
1.9%
X 315
 
1.4%
F 242
 
1.1%
Y 234
 
1.1%
Z 66
 
0.3%
Other values (4) 37
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 10144
25.5%
2 8821
22.2%
0 4723
11.9%
8 3356
 
8.4%
9 3145
 
7.9%
4 2824
 
7.1%
3 2381
 
6.0%
7 1543
 
3.9%
5 1489
 
3.7%
6 1387
 
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 39813
64.1%
Latin 22291
35.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8082
36.3%
M 7805
35.0%
C 1819
 
8.2%
B 1605
 
7.2%
A 1490
 
6.7%
D 431
 
1.9%
X 315
 
1.4%
F 242
 
1.1%
Y 234
 
1.0%
a 70
 
0.3%
Other values (9) 198
 
0.9%
Common
ValueCountFrequency (%)
1 10144
25.5%
2 8821
22.2%
0 4723
11.9%
8 3356
 
8.4%
9 3145
 
7.9%
4 2824
 
7.1%
3 2381
 
6.0%
7 1543
 
3.9%
5 1489
 
3.7%
6 1387
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10144
16.3%
2 8821
14.2%
E 8082
13.0%
M 7805
12.6%
0 4723
7.6%
8 3356
 
5.4%
9 3145
 
5.1%
4 2824
 
4.5%
3 2381
 
3.8%
C 1819
 
2.9%
Other values (19) 9004
14.5%

충전기ID
Real number (ℝ)

Distinct64
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.33518
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:43.761157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q322
95-th percentile81
Maximum98
Range97
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21.376298
Coefficient of variation (CV)1.3939386
Kurtosis4.4523153
Mean15.33518
Median Absolute Deviation (MAD)2
Skewness2.1159873
Sum119047
Variance456.94613
MonotonicityNot monotonic
2023-12-13T02:33:44.258941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3041
39.2%
21 823
 
10.6%
22 823
 
10.6%
2 798
 
10.3%
11 357
 
4.6%
12 356
 
4.6%
91 207
 
2.7%
3 137
 
1.8%
52 115
 
1.5%
44 97
 
1.2%
Other values (54) 1009
 
13.0%
ValueCountFrequency (%)
1 3041
39.2%
2 798
 
10.3%
3 137
 
1.8%
4 77
 
1.0%
5 10
 
0.1%
6 7
 
0.1%
7 6
 
0.1%
8 6
 
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
2.7%
89 2
 
< 0.1%
88 2
 
< 0.1%

충전기타입
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
DC콤보
6160 
DC차데모+AC3상+DC콤보
1602 
DC차데모+DC콤보
 
1

Length

Max length15
Median length4
Mean length6.2707716
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowDC차데모+AC3상+DC콤보
2nd rowDC차데모+AC3상+DC콤보
3rd rowDC차데모+AC3상+DC콤보
4th rowDC차데모+AC3상+DC콤보
5th rowDC차데모+AC3상+DC콤보

Common Values

ValueCountFrequency (%)
DC콤보 6160
79.4%
DC차데모+AC3상+DC콤보 1602
 
20.6%
DC차데모+DC콤보 1
 
< 0.1%

Length

2023-12-13T02:33:44.420494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:33:44.528577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 6160
79.4%
dc차데모+ac3상+dc콤보 1602
 
20.6%
dc차데모+dc콤보 1
 
< 0.1%

충전용량
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
급속(100kW단독)
3084 
급속(200kW동시)
2365 
급속(50kW)
967 
급속(100kW멀티)
485 
급속(100kW동시)
430 
Other values (5)
432 

Length

Max length12
Median length11
Mean length10.62682
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row급속(50kW)
2nd row급속(50kW)
3rd row급속(50kW)
4th row급속(50kW)
5th row급속(50kW)

Common Values

ValueCountFrequency (%)
급속(100kW단독) 3084
39.7%
급속(200kW동시) 2365
30.5%
급속(50kW) 967
 
12.5%
급속(100kW멀티) 485
 
6.2%
급속(100kW동시) 430
 
5.5%
급속(300kW동시) 168
 
2.2%
급속(400kW동시) 116
 
1.5%
급속(300kW단독) 80
 
1.0%
초급속(350kW단독) 36
 
0.5%
완속(30kW단독) 32
 
0.4%

Length

2023-12-13T02:33:44.671689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:33:44.815783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급속(100kw단독 3084
39.7%
급속(200kw동시 2365
30.5%
급속(50kw 967
 
12.5%
급속(100kw멀티 485
 
6.2%
급속(100kw동시 430
 
5.5%
급속(300kw동시 168
 
2.2%
급속(400kw동시 116
 
1.5%
급속(300kw단독 80
 
1.0%
초급속(350kw단독 36
 
0.5%
완속(30kw단독 32
 
0.4%

충전방식(단독_동시)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
단독
5094 
동시
2669 

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 5094
65.6%
동시 2669
34.4%

Length

2023-12-13T02:33:45.018706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:33:45.142402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독 5094
65.6%
동시 2669
34.4%

충전기상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
사용가능
6439 
충전중
768 
통신이상
 
265
점검중
 
209
운영중지
 
49

Length

Max length4
Median length4
Mean length3.8741466
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용가능 6439
82.9%
충전중 768
 
9.9%
통신이상 265
 
3.4%
점검중 209
 
2.7%
운영중지 49
 
0.6%
알수없음 33
 
0.4%

Length

2023-12-13T02:33:45.286270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:33:45.423296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용가능 6439
82.9%
충전중 768
 
9.9%
통신이상 265
 
3.4%
점검중 209
 
2.7%
운영중지 49
 
0.6%
알수없음 33
 
0.4%

상태정보수신일
Date

Distinct331
Distinct (%)4.3%
Missing2
Missing (%)< 0.1%
Memory size60.8 KiB
Minimum2021-07-23 17:06:00
Maximum2023-10-30 15:26:00
2023-12-13T02:33:45.579267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:33:45.781876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전시작일시
Date

Distinct2917
Distinct (%)37.8%
Missing39
Missing (%)0.5%
Memory size60.8 KiB
Minimum1999-10-29 02:45:00
Maximum2023-10-30 15:02:00
2023-12-13T02:33:45.967013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:33:46.145226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전종료일시
Date

Distinct2889
Distinct (%)37.4%
Missing39
Missing (%)0.5%
Memory size60.8 KiB
Minimum1999-10-29 02:46:00
Maximum2023-10-30 15:06:00
2023-12-13T02:33:46.338544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:33:46.545621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

충전중 충전시작일시
Date

MISSING 

Distinct76
Distinct (%)11.3%
Missing7091
Missing (%)91.3%
Memory size60.8 KiB
Minimum2023-09-05 13:56:00
Maximum2023-10-30 15:08:00
2023-12-13T02:33:46.755430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:33:46.948674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2023년 01월 충전횟수
Real number (ℝ)

ZEROS 

Distinct546
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.929151
Minimum0
Maximum939
Zeros772
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:47.138307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median63
Q3139
95-th percentile326
Maximum939
Range939
Interquartile range (IQR)120

Descriptive statistics

Standard deviation114.43299
Coefficient of variation (CV)1.1451412
Kurtosis6.3970439
Mean99.929151
Median Absolute Deviation (MAD)52
Skewness2.160768
Sum775750
Variance13094.909
MonotonicityNot monotonic
2023-12-13T02:33:47.327996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 772
 
9.9%
16 83
 
1.1%
8 73
 
0.9%
15 68
 
0.9%
6 68
 
0.9%
7 67
 
0.9%
12 67
 
0.9%
3 64
 
0.8%
18 64
 
0.8%
17 64
 
0.8%
Other values (536) 6373
82.1%
ValueCountFrequency (%)
0 772
9.9%
1 52
 
0.7%
2 52
 
0.7%
3 64
 
0.8%
4 53
 
0.7%
5 56
 
0.7%
6 68
 
0.9%
7 67
 
0.9%
8 73
 
0.9%
9 62
 
0.8%
ValueCountFrequency (%)
939 1
< 0.1%
912 1
< 0.1%
880 1
< 0.1%
874 1
< 0.1%
845 1
< 0.1%
815 1
< 0.1%
813 1
< 0.1%
776 1
< 0.1%
761 1
< 0.1%
757 1
< 0.1%

2023년 01월 충전량
Real number (ℝ)

ZEROS 

Distinct6925
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2103.2957
Minimum0
Maximum22944.68
Zeros772
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:47.509989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1401.4
median1311.99
Q32909.535
95-th percentile6927.643
Maximum22944.68
Range22944.68
Interquartile range (IQR)2508.135

Descriptive statistics

Standard deviation2482.5573
Coefficient of variation (CV)1.1803178
Kurtosis8.2977911
Mean2103.2957
Median Absolute Deviation (MAD)1081.41
Skewness2.3903191
Sum16327884
Variance6163090.6
MonotonicityNot monotonic
2023-12-13T02:33:47.683090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 772
 
9.9%
904.78 3
 
< 0.1%
631.24 2
 
< 0.1%
2.99 2
 
< 0.1%
366.01 2
 
< 0.1%
231.64 2
 
< 0.1%
242.97 2
 
< 0.1%
4370.57 2
 
< 0.1%
630.43 2
 
< 0.1%
323.78 2
 
< 0.1%
Other values (6915) 6972
89.8%
ValueCountFrequency (%)
0.0 772
9.9%
0.74 1
 
< 0.1%
0.79 1
 
< 0.1%
0.81 1
 
< 0.1%
0.94 1
 
< 0.1%
0.95 1
 
< 0.1%
1.01 1
 
< 0.1%
1.04 1
 
< 0.1%
1.11 1
 
< 0.1%
1.19 1
 
< 0.1%
ValueCountFrequency (%)
22944.68 1
< 0.1%
22337.58 1
< 0.1%
21530.23 1
< 0.1%
20293.83 1
< 0.1%
18686.73 1
< 0.1%
18437.33 1
< 0.1%
18178.65 1
< 0.1%
17837.74 1
< 0.1%
17631.5 1
< 0.1%
17338.32 1
< 0.1%

2023년 02월 충전횟수
Real number (ℝ)

ZEROS 

Distinct497
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.772253
Minimum0
Maximum817
Zeros689
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:47.847830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median53
Q3116
95-th percentile278.8
Maximum817
Range817
Interquartile range (IQR)99

Descriptive statistics

Standard deviation99.683913
Coefficient of variation (CV)1.1759026
Kurtosis7.9203003
Mean84.772253
Median Absolute Deviation (MAD)43
Skewness2.3797906
Sum658087
Variance9936.8824
MonotonicityNot monotonic
2023-12-13T02:33:48.038802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 689
 
8.9%
3 102
 
1.3%
4 90
 
1.2%
8 89
 
1.1%
7 89
 
1.1%
13 83
 
1.1%
6 83
 
1.1%
20 79
 
1.0%
21 78
 
1.0%
16 76
 
1.0%
Other values (487) 6305
81.2%
ValueCountFrequency (%)
0 689
8.9%
1 56
 
0.7%
2 67
 
0.9%
3 102
 
1.3%
4 90
 
1.2%
5 72
 
0.9%
6 83
 
1.1%
7 89
 
1.1%
8 89
 
1.1%
9 62
 
0.8%
ValueCountFrequency (%)
817 1
< 0.1%
813 1
< 0.1%
805 1
< 0.1%
773 1
< 0.1%
762 1
< 0.1%
747 1
< 0.1%
733 1
< 0.1%
725 1
< 0.1%
711 1
< 0.1%
694 1
< 0.1%

2023년 02월 충전량
Real number (ℝ)

ZEROS 

Distinct7000
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1789.8036
Minimum0
Maximum21390.21
Zeros689
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:48.247164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1350.14
median1102.79
Q32431.03
95-th percentile5926.615
Maximum21390.21
Range21390.21
Interquartile range (IQR)2080.89

Descriptive statistics

Standard deviation2173.6782
Coefficient of variation (CV)1.2144786
Kurtosis10.916765
Mean1789.8036
Median Absolute Deviation (MAD)902.8
Skewness2.6905019
Sum13894245
Variance4724876.9
MonotonicityNot monotonic
2023-12-13T02:33:48.422287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 689
 
8.9%
7.7 3
 
< 0.1%
188.11 2
 
< 0.1%
375.26 2
 
< 0.1%
739.11 2
 
< 0.1%
4137.34 2
 
< 0.1%
839.01 2
 
< 0.1%
417.19 2
 
< 0.1%
1349.13 2
 
< 0.1%
598.8 2
 
< 0.1%
Other values (6990) 7055
90.9%
ValueCountFrequency (%)
0.0 689
8.9%
0.23 1
 
< 0.1%
0.44 1
 
< 0.1%
0.72 1
 
< 0.1%
0.91 1
 
< 0.1%
0.93 1
 
< 0.1%
0.99 1
 
< 0.1%
1.05 1
 
< 0.1%
1.06 1
 
< 0.1%
1.11 1
 
< 0.1%
ValueCountFrequency (%)
21390.21 1
< 0.1%
20177.94 1
< 0.1%
19997.1 1
< 0.1%
18715.32 1
< 0.1%
18255.74 1
< 0.1%
17467.72 1
< 0.1%
17235.56 1
< 0.1%
17011.26 1
< 0.1%
16647.15 1
< 0.1%
16244.07 1
< 0.1%

2023년 03월 충전횟수
Real number (ℝ)

ZEROS 

Distinct487
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.06969
Minimum0
Maximum921
Zeros646
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:48.594804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median53
Q3114
95-th percentile275
Maximum921
Range921
Interquartile range (IQR)95

Descriptive statistics

Standard deviation98.21549
Coefficient of variation (CV)1.1682628
Kurtosis8.9310384
Mean84.06969
Median Absolute Deviation (MAD)41
Skewness2.4927366
Sum652633
Variance9646.2826
MonotonicityNot monotonic
2023-12-13T02:33:48.775968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 646
 
8.3%
3 112
 
1.4%
21 85
 
1.1%
17 82
 
1.1%
19 82
 
1.1%
12 78
 
1.0%
2 77
 
1.0%
16 77
 
1.0%
7 76
 
1.0%
20 75
 
1.0%
Other values (477) 6373
82.1%
ValueCountFrequency (%)
0 646
8.3%
1 60
 
0.8%
2 77
 
1.0%
3 112
 
1.4%
4 73
 
0.9%
5 64
 
0.8%
6 64
 
0.8%
7 76
 
1.0%
8 65
 
0.8%
9 71
 
0.9%
ValueCountFrequency (%)
921 1
< 0.1%
861 1
< 0.1%
810 1
< 0.1%
782 1
< 0.1%
774 1
< 0.1%
745 1
< 0.1%
721 1
< 0.1%
711 1
< 0.1%
695 1
< 0.1%
688 1
< 0.1%

2023년 03월 충전량
Real number (ℝ)

ZEROS 

Distinct7029
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1838.7168
Minimum0
Maximum23751.83
Zeros646
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:48.959450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1397.79
median1187.73
Q32483.325
95-th percentile5933.602
Maximum23751.83
Range23751.83
Interquartile range (IQR)2085.535

Descriptive statistics

Standard deviation2194.9665
Coefficient of variation (CV)1.1937491
Kurtosis12.81102
Mean1838.7168
Median Absolute Deviation (MAD)931.44
Skewness2.8362443
Sum14273959
Variance4817878.1
MonotonicityNot monotonic
2023-12-13T02:33:49.146524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 646
 
8.3%
0.72 7
 
0.1%
0.73 3
 
< 0.1%
0.74 3
 
< 0.1%
0.79 3
 
< 0.1%
1943.99 2
 
< 0.1%
2234.22 2
 
< 0.1%
649.84 2
 
< 0.1%
2605.57 2
 
< 0.1%
802.48 2
 
< 0.1%
Other values (7019) 7091
91.3%
ValueCountFrequency (%)
0.0 646
8.3%
0.59 1
 
< 0.1%
0.66 1
 
< 0.1%
0.67 1
 
< 0.1%
0.69 1
 
< 0.1%
0.7 1
 
< 0.1%
0.71 2
 
< 0.1%
0.72 7
 
0.1%
0.73 3
 
< 0.1%
0.74 3
 
< 0.1%
ValueCountFrequency (%)
23751.83 1
< 0.1%
23044.61 1
< 0.1%
21403.83 1
< 0.1%
20156.43 1
< 0.1%
19279.44 1
< 0.1%
18588.66 1
< 0.1%
17881.06 1
< 0.1%
17534.57 1
< 0.1%
17247.48 1
< 0.1%
17171.52 1
< 0.1%

2023년 04월 충전횟수
Real number (ℝ)

ZEROS 

Distinct476
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.817339
Minimum0
Maximum903
Zeros717
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:49.300315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median50
Q3105
95-th percentile260
Maximum903
Range903
Interquartile range (IQR)87

Descriptive statistics

Standard deviation94.089813
Coefficient of variation (CV)1.1937705
Kurtosis10.655233
Mean78.817339
Median Absolute Deviation (MAD)38
Skewness2.7154884
Sum611859
Variance8852.8929
MonotonicityNot monotonic
2023-12-13T02:33:49.438982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 717
 
9.2%
13 85
 
1.1%
23 82
 
1.1%
17 82
 
1.1%
22 80
 
1.0%
25 79
 
1.0%
21 78
 
1.0%
9 78
 
1.0%
20 77
 
1.0%
10 77
 
1.0%
Other values (466) 6328
81.5%
ValueCountFrequency (%)
0 717
9.2%
1 59
 
0.8%
2 44
 
0.6%
3 74
 
1.0%
4 62
 
0.8%
5 52
 
0.7%
6 66
 
0.9%
7 71
 
0.9%
8 68
 
0.9%
9 78
 
1.0%
ValueCountFrequency (%)
903 1
< 0.1%
832 1
< 0.1%
819 1
< 0.1%
818 1
< 0.1%
812 1
< 0.1%
768 1
< 0.1%
719 1
< 0.1%
696 1
< 0.1%
690 1
< 0.1%
677 1
< 0.1%

2023년 04월 충전량
Real number (ℝ)

ZEROS 

Distinct6979
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1767.8267
Minimum0
Maximum23200.37
Zeros717
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:49.928318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1404.94
median1139.22
Q32363.92
95-th percentile5648.22
Maximum23200.37
Range23200.37
Interquartile range (IQR)1958.98

Descriptive statistics

Standard deviation2138.0081
Coefficient of variation (CV)1.2093991
Kurtosis13.915829
Mean1767.8267
Median Absolute Deviation (MAD)868.86
Skewness2.9800598
Sum13723639
Variance4571078.5
MonotonicityNot monotonic
2023-12-13T02:33:50.100709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 717
 
9.2%
836.11 2
 
< 0.1%
725.76 2
 
< 0.1%
992.3 2
 
< 0.1%
440.51 2
 
< 0.1%
2233.9 2
 
< 0.1%
1862.52 2
 
< 0.1%
965.93 2
 
< 0.1%
95.27 2
 
< 0.1%
1554.89 2
 
< 0.1%
Other values (6969) 7028
90.5%
ValueCountFrequency (%)
0.0 717
9.2%
0.33 1
 
< 0.1%
0.8 1
 
< 0.1%
1.03 1
 
< 0.1%
1.05 1
 
< 0.1%
1.16 1
 
< 0.1%
1.3 1
 
< 0.1%
1.35 1
 
< 0.1%
1.4 1
 
< 0.1%
1.54 1
 
< 0.1%
ValueCountFrequency (%)
23200.37 1
< 0.1%
22936.21 1
< 0.1%
20092.35 1
< 0.1%
20040.32 1
< 0.1%
18829.13 1
< 0.1%
18823.58 1
< 0.1%
18678.5 1
< 0.1%
18629.4 1
< 0.1%
17444.9 1
< 0.1%
16569.65 1
< 0.1%

2023년 05월 충전횟수
Real number (ℝ)

ZEROS 

Distinct478
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.934561
Minimum0
Maximum848
Zeros681
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:50.284707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median50
Q3105
95-th percentile256
Maximum848
Range848
Interquartile range (IQR)87

Descriptive statistics

Standard deviation94.028998
Coefficient of variation (CV)1.1912272
Kurtosis9.3552832
Mean78.934561
Median Absolute Deviation (MAD)38
Skewness2.6146736
Sum612769
Variance8841.4526
MonotonicityNot monotonic
2023-12-13T02:33:50.458827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 681
 
8.8%
3 87
 
1.1%
22 83
 
1.1%
25 82
 
1.1%
9 81
 
1.0%
38 80
 
1.0%
13 79
 
1.0%
18 78
 
1.0%
10 78
 
1.0%
17 78
 
1.0%
Other values (468) 6356
81.9%
ValueCountFrequency (%)
0 681
8.8%
1 59
 
0.8%
2 45
 
0.6%
3 87
 
1.1%
4 75
 
1.0%
5 70
 
0.9%
6 66
 
0.9%
7 68
 
0.9%
8 69
 
0.9%
9 81
 
1.0%
ValueCountFrequency (%)
848 1
< 0.1%
753 1
< 0.1%
713 1
< 0.1%
711 1
< 0.1%
710 1
< 0.1%
701 1
< 0.1%
692 1
< 0.1%
683 1
< 0.1%
674 1
< 0.1%
658 1
< 0.1%

2023년 05월 충전량
Real number (ℝ)

ZEROS 

Distinct7009
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1806.2932
Minimum0
Maximum22786.04
Zeros681
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:50.606410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1409.865
median1154.33
Q32450.075
95-th percentile5748.306
Maximum22786.04
Range22786.04
Interquartile range (IQR)2040.21

Descriptive statistics

Standard deviation2155.1573
Coefficient of variation (CV)1.1931381
Kurtosis11.81865
Mean1806.2932
Median Absolute Deviation (MAD)892.76
Skewness2.7951987
Sum14022254
Variance4644702.9
MonotonicityNot monotonic
2023-12-13T02:33:50.760676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 681
 
8.8%
597.52 3
 
< 0.1%
3.1 3
 
< 0.1%
7.64 2
 
< 0.1%
506.74 2
 
< 0.1%
612.52 2
 
< 0.1%
491.75 2
 
< 0.1%
308.71 2
 
< 0.1%
6.22 2
 
< 0.1%
1390.84 2
 
< 0.1%
Other values (6999) 7062
91.0%
ValueCountFrequency (%)
0.0 681
8.8%
0.25 1
 
< 0.1%
0.39 1
 
< 0.1%
0.4 1
 
< 0.1%
0.77 1
 
< 0.1%
0.79 1
 
< 0.1%
0.89 1
 
< 0.1%
1.06 1
 
< 0.1%
1.14 1
 
< 0.1%
1.19 1
 
< 0.1%
ValueCountFrequency (%)
22786.04 1
< 0.1%
20173.89 1
< 0.1%
19663.07 1
< 0.1%
19459.87 1
< 0.1%
19278.45 1
< 0.1%
17739.66 1
< 0.1%
17646.06 1
< 0.1%
17118.17 1
< 0.1%
16924.09 1
< 0.1%
15842.9 1
< 0.1%

2023년 06월 충전횟수
Real number (ℝ)

ZEROS 

Distinct463
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.85315
Minimum0
Maximum740
Zeros542
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:50.913777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median49
Q3104
95-th percentile251.9
Maximum740
Range740
Interquartile range (IQR)87

Descriptive statistics

Standard deviation89.89848
Coefficient of variation (CV)1.1697436
Kurtosis8.2152259
Mean76.85315
Median Absolute Deviation (MAD)38
Skewness2.4655474
Sum596611
Variance8081.7367
MonotonicityNot monotonic
2023-12-13T02:33:51.074819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542
 
7.0%
3 198
 
2.6%
4 101
 
1.3%
11 89
 
1.1%
16 87
 
1.1%
25 81
 
1.0%
18 80
 
1.0%
13 80
 
1.0%
9 79
 
1.0%
27 79
 
1.0%
Other values (453) 6347
81.8%
ValueCountFrequency (%)
0 542
7.0%
1 61
 
0.8%
2 71
 
0.9%
3 198
 
2.6%
4 101
 
1.3%
5 77
 
1.0%
6 66
 
0.9%
7 71
 
0.9%
8 76
 
1.0%
9 79
 
1.0%
ValueCountFrequency (%)
740 1
< 0.1%
728 1
< 0.1%
660 1
< 0.1%
654 1
< 0.1%
647 1
< 0.1%
644 1
< 0.1%
634 1
< 0.1%
631 1
< 0.1%
621 1
< 0.1%
611 1
< 0.1%

2023년 06월 충전량
Real number (ℝ)

ZEROS 

Distinct7130
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1781.6053
Minimum0
Maximum20415.79
Zeros542
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:51.227179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1401.325
median1153.21
Q32419.735
95-th percentile5659.591
Maximum20415.79
Range20415.79
Interquartile range (IQR)2018.41

Descriptive statistics

Standard deviation2087.0281
Coefficient of variation (CV)1.1714312
Kurtosis10.326832
Mean1781.6053
Median Absolute Deviation (MAD)895.81
Skewness2.6244745
Sum13830602
Variance4355686.4
MonotonicityNot monotonic
2023-12-13T02:33:51.374181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 542
 
7.0%
6.63 3
 
< 0.1%
113.98 2
 
< 0.1%
1431.69 2
 
< 0.1%
488.01 2
 
< 0.1%
6.08 2
 
< 0.1%
4.02 2
 
< 0.1%
1826.49 2
 
< 0.1%
6.13 2
 
< 0.1%
1807.66 2
 
< 0.1%
Other values (7120) 7202
92.8%
ValueCountFrequency (%)
0.0 542
7.0%
0.47 1
 
< 0.1%
0.82 1
 
< 0.1%
0.84 1
 
< 0.1%
0.88 1
 
< 0.1%
0.93 1
 
< 0.1%
0.97 2
 
< 0.1%
1.01 1
 
< 0.1%
1.07 1
 
< 0.1%
1.19 1
 
< 0.1%
ValueCountFrequency (%)
20415.79 1
< 0.1%
19441.59 1
< 0.1%
18792.1 1
< 0.1%
17951.33 1
< 0.1%
16961.54 1
< 0.1%
16825.82 1
< 0.1%
16094.28 1
< 0.1%
15970.35 1
< 0.1%
15891.93 1
< 0.1%
15528.22 1
< 0.1%

2023년 07월 충전횟수
Real number (ℝ)

ZEROS 

Distinct470
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.520289
Minimum0
Maximum746
Zeros524
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:51.552973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median51
Q3108
95-th percentile261
Maximum746
Range746
Interquartile range (IQR)90

Descriptive statistics

Standard deviation91.46809
Coefficient of variation (CV)1.1502485
Kurtosis7.3874709
Mean79.520289
Median Absolute Deviation (MAD)39
Skewness2.3367917
Sum617316
Variance8366.4114
MonotonicityNot monotonic
2023-12-13T02:33:51.717019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 524
 
6.7%
3 212
 
2.7%
6 87
 
1.1%
19 87
 
1.1%
4 86
 
1.1%
21 83
 
1.1%
5 82
 
1.1%
13 80
 
1.0%
15 78
 
1.0%
9 76
 
1.0%
Other values (460) 6368
82.0%
ValueCountFrequency (%)
0 524
6.7%
1 70
 
0.9%
2 65
 
0.8%
3 212
2.7%
4 86
 
1.1%
5 82
 
1.1%
6 87
 
1.1%
7 72
 
0.9%
8 74
 
1.0%
9 76
 
1.0%
ValueCountFrequency (%)
746 1
< 0.1%
715 1
< 0.1%
683 1
< 0.1%
664 1
< 0.1%
658 1
< 0.1%
647 1
< 0.1%
644 1
< 0.1%
637 1
< 0.1%
636 1
< 0.1%
634 1
< 0.1%

2023년 07월 충전량
Real number (ℝ)

ZEROS 

Distinct7159
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1865.9875
Minimum0
Maximum21728.74
Zeros524
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:51.883598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1405.865
median1218.55
Q32562.815
95-th percentile5993.449
Maximum21728.74
Range21728.74
Interquartile range (IQR)2156.95

Descriptive statistics

Standard deviation2165.1262
Coefficient of variation (CV)1.1603112
Kurtosis9.9350803
Mean1865.9875
Median Absolute Deviation (MAD)953.83
Skewness2.5468176
Sum14485661
Variance4687771.4
MonotonicityNot monotonic
2023-12-13T02:33:52.036570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 524
 
6.7%
635.08 3
 
< 0.1%
11.64 3
 
< 0.1%
11.15 3
 
< 0.1%
38.39 3
 
< 0.1%
158.74 2
 
< 0.1%
1164.09 2
 
< 0.1%
774.02 2
 
< 0.1%
277.84 2
 
< 0.1%
465.48 2
 
< 0.1%
Other values (7149) 7217
93.0%
ValueCountFrequency (%)
0.0 524
6.7%
0.46 1
 
< 0.1%
0.73 1
 
< 0.1%
0.93 1
 
< 0.1%
0.96 1
 
< 0.1%
0.98 1
 
< 0.1%
1.0 1
 
< 0.1%
1.1 1
 
< 0.1%
1.15 1
 
< 0.1%
1.23 1
 
< 0.1%
ValueCountFrequency (%)
21728.74 1
< 0.1%
20466.68 1
< 0.1%
18793.92 1
< 0.1%
18327.61 1
< 0.1%
17961.82 1
< 0.1%
17851.42 1
< 0.1%
17025.6 1
< 0.1%
16189.51 1
< 0.1%
16049.39 1
< 0.1%
16038.89 1
< 0.1%

2023년 08월 충전횟수
Real number (ℝ)

ZEROS 

Distinct479
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.344841
Minimum0
Maximum776
Zeros599
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:52.175842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median53
Q3112
95-th percentile266
Maximum776
Range776
Interquartile range (IQR)93

Descriptive statistics

Standard deviation93.200129
Coefficient of variation (CV)1.1318272
Kurtosis7.3491927
Mean82.344841
Median Absolute Deviation (MAD)41
Skewness2.3026131
Sum639243
Variance8686.2641
MonotonicityNot monotonic
2023-12-13T02:33:52.361345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 599
 
7.7%
3 123
 
1.6%
18 87
 
1.1%
1 86
 
1.1%
13 85
 
1.1%
28 79
 
1.0%
8 78
 
1.0%
26 75
 
1.0%
25 74
 
1.0%
9 74
 
1.0%
Other values (469) 6403
82.5%
ValueCountFrequency (%)
0 599
7.7%
1 86
 
1.1%
2 70
 
0.9%
3 123
 
1.6%
4 71
 
0.9%
5 73
 
0.9%
6 71
 
0.9%
7 57
 
0.7%
8 78
 
1.0%
9 74
 
1.0%
ValueCountFrequency (%)
776 1
< 0.1%
743 1
< 0.1%
700 1
< 0.1%
694 1
< 0.1%
675 1
< 0.1%
667 1
< 0.1%
666 1
< 0.1%
662 1
< 0.1%
660 1
< 0.1%
628 1
< 0.1%

2023년 08월 충전량
Real number (ℝ)

ZEROS 

Distinct7094
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1943.1826
Minimum0
Maximum21534.82
Zeros599
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:52.557223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1443.065
median1273.38
Q32678.825
95-th percentile6167.548
Maximum21534.82
Range21534.82
Interquartile range (IQR)2235.76

Descriptive statistics

Standard deviation2220.362
Coefficient of variation (CV)1.142642
Kurtosis9.8735807
Mean1943.1826
Median Absolute Deviation (MAD)995.54
Skewness2.517408
Sum15084927
Variance4930007.4
MonotonicityNot monotonic
2023-12-13T02:33:52.706639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 599
 
7.7%
726.03 2
 
< 0.1%
1628.29 2
 
< 0.1%
520.31 2
 
< 0.1%
1.24 2
 
< 0.1%
471.19 2
 
< 0.1%
952.32 2
 
< 0.1%
1133.03 2
 
< 0.1%
700.34 2
 
< 0.1%
1.02 2
 
< 0.1%
Other values (7084) 7146
92.1%
ValueCountFrequency (%)
0.0 599
7.7%
0.25 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 1
 
< 0.1%
0.66 1
 
< 0.1%
0.68 1
 
< 0.1%
0.87 1
 
< 0.1%
0.97 1
 
< 0.1%
0.98 1
 
< 0.1%
ValueCountFrequency (%)
21534.82 1
< 0.1%
20875.2 1
< 0.1%
19612.79 1
< 0.1%
19200.64 1
< 0.1%
19120.27 1
< 0.1%
18601.13 1
< 0.1%
17861.22 1
< 0.1%
17806.59 1
< 0.1%
17793.54 1
< 0.1%
17341.79 1
< 0.1%

2023년 09월 충전횟수
Real number (ℝ)

ZEROS 

Distinct435
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.351668
Minimum0
Maximum695
Zeros393
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:52.849695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median48
Q399
95-th percentile230
Maximum695
Range695
Interquartile range (IQR)81

Descriptive statistics

Standard deviation82.570122
Coefficient of variation (CV)1.1256748
Kurtosis8.3421155
Mean73.351668
Median Absolute Deviation (MAD)36
Skewness2.4304116
Sum569429
Variance6817.825
MonotonicityNot monotonic
2023-12-13T02:33:53.020190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
5.1%
3 127
 
1.6%
1 116
 
1.5%
4 105
 
1.4%
9 97
 
1.2%
2 94
 
1.2%
7 90
 
1.2%
6 88
 
1.1%
21 86
 
1.1%
22 85
 
1.1%
Other values (425) 6482
83.5%
ValueCountFrequency (%)
0 393
5.1%
1 116
 
1.5%
2 94
 
1.2%
3 127
 
1.6%
4 105
 
1.4%
5 68
 
0.9%
6 88
 
1.1%
7 90
 
1.2%
8 72
 
0.9%
9 97
 
1.2%
ValueCountFrequency (%)
695 1
< 0.1%
664 1
< 0.1%
653 1
< 0.1%
639 1
< 0.1%
636 1
< 0.1%
617 1
< 0.1%
611 1
< 0.1%
605 1
< 0.1%
604 1
< 0.1%
603 1
< 0.1%

2023년 09월 충전량
Real number (ℝ)

ZEROS 

Distinct7268
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1700.5206
Minimum0
Maximum19904.72
Zeros393
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-13T02:33:53.188471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1412.745
median1125.72
Q32286.615
95-th percentile5400.618
Maximum19904.72
Range19904.72
Interquartile range (IQR)1873.87

Descriptive statistics

Standard deviation1941.3008
Coefficient of variation (CV)1.1415921
Kurtosis11.361737
Mean1700.5206
Median Absolute Deviation (MAD)844.68
Skewness2.6777071
Sum13201141
Variance3768648.9
MonotonicityNot monotonic
2023-12-13T02:33:53.356300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
 
5.1%
2.05 4
 
0.1%
710.17 3
 
< 0.1%
6.04 3
 
< 0.1%
647.32 2
 
< 0.1%
30.1 2
 
< 0.1%
648.59 2
 
< 0.1%
1786.96 2
 
< 0.1%
463.31 2
 
< 0.1%
680.34 2
 
< 0.1%
Other values (7258) 7348
94.7%
ValueCountFrequency (%)
0.0 393
5.1%
0.1 1
 
< 0.1%
0.41 1
 
< 0.1%
0.44 1
 
< 0.1%
0.48 1
 
< 0.1%
0.71 1
 
< 0.1%
0.79 1
 
< 0.1%
0.8 1
 
< 0.1%
0.86 1
 
< 0.1%
0.92 1
 
< 0.1%
ValueCountFrequency (%)
19904.72 1
< 0.1%
18609.94 1
< 0.1%
17804.74 1
< 0.1%
17742.83 1
< 0.1%
17700.28 1
< 0.1%
17308.54 1
< 0.1%
16684.11 1
< 0.1%
16571.24 1
< 0.1%
15919.97 1
< 0.1%
15676.5 1
< 0.1%

Sample

충전소명충전소 주소대분류소분류충전소ID충전기ID충전기타입충전용량충전방식(단독_동시)충전기상태상태정보수신일마지막 충전시작일시마지막 충전종료일시충전중 충전시작일시2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량2023년 04월 충전횟수2023년 04월 충전량2023년 05월 충전횟수2023년 05월 충전량2023년 06월 충전횟수2023년 06월 충전량2023년 07월 충전횟수2023년 07월 충전량2023년 08월 충전횟수2023년 08월 충전량2023년 09월 충전횟수2023년 09월 충전량
0고성군청 후면주차장강원특별자치도 고성군 간성읍 하리 12 뒤편 주차장 우측공공시설관공서ME1740981DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:032023-10-29 17:312023-10-29 18:18<NA>28444.4823394.8335597.811199.7832615.7622221.2622331.9413269.1117310.75
1속초시청 길건너 공영주차장강원특별자치도 속초시 중앙동 468-12주차시설공영주차장ME1740991DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:022023-10-30 11:242023-10-30 11:45<NA>1602283.921351829.591231518.411151530.731241698.176998.351081696.481743673.111563300.92
2양구 5일장 앞 공영주차장강원특별자치도 양구군 양구읍 사명길 37-4주차시설공영주차장ME1741001DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:042023-10-30 14:212023-10-30 14:53<NA>1211998.031001790.51041842.96991712.271202110.0762861.821041853.21861713.11011872.69
3정선종합운동장강원특별자치도 정선군 정선읍 애산리 768 보조경기장 옆공공시설지자체시설ME1741011DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:032023-10-30 5:362023-10-30 6:22<NA>36646.4548944.736611.429624.2344858.97701497.39671477.05611396.6491050.76
4태백시청 후문 주차장강원특별자치도 태백시 황지동 244-3공공시설관공서ME1741021DC차데모+AC3상+DC콤보급속(50kW)단독충전중2023-10-30 15:062023-10-30 13:202023-10-30 14:002023-10-30 14:511301688.7469853.6628248.571051641.841302459.311122263.741392912.31763557.871803576.27
5화천청소년수련관 주차장강원특별자치도 화천군 화천읍 산천어길 79주차시설일반주차장ME1741031DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:032023-10-30 10:252023-10-30 11:05<NA>1612414.3267759.9577677.3577779.470694.8742462.0645566.4525228.3338485.24
6원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780731DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:022023-10-30 13:212023-10-30 13:38<NA>2334370.431472697.541853442.732304318.052394468.732584778.252685102.93165161.952533537.99
7원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780732DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:022023-10-30 12:182023-10-30 13:01<NA>1402620.021232193.721582980.52941587.381492855.81703248.49731255.791472777.451192218.19
8원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780733DC차데모+AC3상+DC콤보급속(50kW)단독점검중2023-10-30 15:022023-10-29 22:092023-10-29 22:15<NA>2464359.921873281.472043797.932194077.422494670.281572989.011883511.4857497.1650401.29
9원주(춘천) 휴게소강원특별자치도 원주시 호저면 마근거리길 110 (옥산리) 215휴게시설고속도로 휴게소ME1780741DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-10-30 15:022023-10-30 11:182023-10-30 11:32<NA>721251.9627385.2613246.9728369.2651850.32721101.6738708.052891.6554806.33
충전소명충전소 주소대분류소분류충전소ID충전기ID충전기타입충전용량충전방식(단독_동시)충전기상태상태정보수신일마지막 충전시작일시마지막 충전종료일시충전중 충전시작일시2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량2023년 04월 충전횟수2023년 04월 충전량2023년 05월 충전횟수2023년 05월 충전량2023년 06월 충전횟수2023년 06월 충전량2023년 07월 충전횟수2023년 07월 충전량2023년 08월 충전횟수2023년 08월 충전량2023년 09월 충전횟수2023년 09월 충전량
7753단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3031DC콤보급속(100kW단독)단독점검중2023-10-30 14:402023-10-30 13:492023-10-30 14:10<NA>00.000.000.000.000.000.000.0314.35371.21
7754단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3032DC콤보급속(100kW단독)단독사용가능2023-10-30 14:552023-10-30 11:122023-10-30 11:52<NA>00.000.000.000.000.000.000.038.31457.37
7755단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3033DC콤보급속(100kW단독)단독점검중2023-10-30 14:492023-10-29 21:432023-10-29 22:22<NA>00.000.000.000.000.000.000.027.08471286.7
7756서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3041DC콤보급속(100kW단독)단독사용가능2023-10-30 14:482023-10-29 4:282023-10-29 4:51<NA>00.000.000.000.000.000.000.035.4911.85
7757서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3042DC콤보급속(100kW단독)단독사용가능2023-10-30 14:492023-10-29 5:002023-10-29 5:19<NA>00.000.000.000.000.000.000.035.86216.01
7758서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3043DC콤보급속(100kW단독)단독사용가능2023-10-30 14:592023-10-30 10:372023-10-30 10:55<NA>00.000.000.000.000.000.000.036.02329.84
7759단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4021DC콤보급속(100kW단독)단독사용가능2023-10-30 14:482023-10-28 12:502023-10-28 13:30<NA>00.000.000.000.000.000.000.0311.427164.25
7760단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4022DC콤보급속(100kW단독)단독사용가능2023-10-30 14:482023-10-29 18:482023-10-29 18:59<NA>00.000.000.000.000.000.000.0311.6122493.31
7761단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4023DC콤보급속(100kW단독)단독사용가능2023-10-30 14:592023-10-30 13:172023-10-30 13:27<NA>00.000.000.000.000.000.000.0311.2337660.9
7762단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4024DC콤보급속(100kW단독)단독사용가능2023-10-30 14:452023-10-30 14:252023-10-30 14:45<NA>00.000.000.000.000.000.000.035.08361020.67