Overview

Dataset statistics

Number of variables34
Number of observations7783
Missing cells7328
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory291.0 B

Variable types

Text4
Categorical7
Numeric19
DateTime4

Dataset

Description전기차 충전기 수 :해당 데이터는 환경부 전기차 충전소 충전기 제조사별 데이터(23년 1월 ~ 23년 9월)입니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15124800/fileData.do

Alerts

모델명 is highly imbalanced (57.9%)Imbalance
충전기타입 is highly imbalanced (61.5%)Imbalance
충전기상태 is highly imbalanced (65.5%)Imbalance
충전중 충전시작일시 has 7235 (93.0%) missing valuesMissing
2023년 01월 충전횟수 has 806 (10.4%) zerosZeros
2023년 01월 충전량 has 806 (10.4%) zerosZeros
2023년 02월 충전횟수 has 723 (9.3%) zerosZeros
2023년 02월 충전량 has 723 (9.3%) zerosZeros
2023년 03월 충전횟수 has 669 (8.6%) zerosZeros
2023년 03월 충전량 has 669 (8.6%) zerosZeros
2023년 04월 충전횟수 has 749 (9.6%) zerosZeros
2023년 04월 충전량 has 749 (9.6%) zerosZeros
2023년 05월 충전횟수 has 711 (9.1%) zerosZeros
2023년 05월 충전량 has 711 (9.1%) zerosZeros
2023년 06월 충전횟수 has 571 (7.3%) zerosZeros
2023년 06월 충전량 has 571 (7.3%) zerosZeros
2023년 07월 충전횟수 has 549 (7.1%) zerosZeros
2023년 07월 충전량 has 549 (7.1%) zerosZeros
2023년 08월 충전횟수 has 623 (8.0%) zerosZeros
2023년 08월 충전량 has 623 (8.0%) zerosZeros
2023년 09월 충전횟수 has 412 (5.3%) zerosZeros
2023년 09월 충전량 has 412 (5.3%) zerosZeros

Reproduction

Analysis started2023-12-11 23:13:19.831514
Analysis finished2023-12-11 23:13:21.228041
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소명
Text

Distinct4330
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
2023-12-12T08:13:21.492059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.5774123
Min length2

Characters and Unicode

Total characters74541
Distinct characters632
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

Unique2094 ?
Unique (%)26.9%

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 604
 
4.7%
공영주차장 482
 
3.8%
롯데마트 155
 
1.2%
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 (4858) 10327
80.7%
2023-12-12T08:13:22.042947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5143
 
6.9%
주 3165
 
4.2%
장 3158
 
4.2%
차 2452
 
3.3%
공 1951
 
2.6%
소 1948
 
2.6%
산 1413
 
1.9%
원 1392
 
1.9%
사 1318
 
1.8%
지 1258
 
1.7%
Other values (622) 51343
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66033
88.6%
Space Separator 5143
 
6.9%
Close Punctuation 1032
 
1.4%
Open Punctuation 1032
 
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 3165
 
4.8%
장 3158
 
4.8%
차 2452
 
3.7%
공 1951
 
3.0%
소 1948
 
3.0%
산 1413
 
2.1%
원 1392
 
2.1%
사 1318
 
2.0%
지 1258
 
1.9%
영 1090
 
1.7%
Other values (563) 46888
71.0%
Uppercase Letter
ValueCountFrequency (%)
T 27
 
9.3%
S 27
 
9.3%
G 27
 
9.3%
A 25
 
8.6%
P 21
 
7.2%
C 19
 
6.5%
I 17
 
5.8%
M 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%
o 5
10.0%
b 5
10.0%
l 3
 
6.0%
i 3
 
6.0%
h 2
 
4.0%
u 2
 
4.0%
c 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 (%)
5143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1032
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1032
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66059
88.6%
Common 8141
 
10.9%
Latin 341
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3165
 
4.8%
장 3158
 
4.8%
차 2452
 
3.7%
공 1951
 
3.0%
소 1948
 
2.9%
산 1413
 
2.1%
원 1392
 
2.1%
사 1318
 
2.0%
지 1258
 
1.9%
영 1090
 
1.7%
Other values (564) 46914
71.0%
Latin
ValueCountFrequency (%)
T 27
 
7.9%
S 27
 
7.9%
G 27
 
7.9%
A 25
 
7.3%
P 21
 
6.2%
C 19
 
5.6%
I 17
 
5.0%
M 17
 
5.0%
D 16
 
4.7%
E 15
 
4.4%
Other values (27) 130
38.1%
Common
ValueCountFrequency (%)
5143
63.2%
) 1032
 
12.7%
( 1032
 
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 66033
88.6%
ASCII 8479
 
11.4%
None 29
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5143
60.7%
) 1032
 
12.2%
( 1032
 
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 3165
 
4.8%
장 3158
 
4.8%
차 2452
 
3.7%
공 1951
 
3.0%
소 1948
 
3.0%
산 1413
 
2.1%
원 1392
 
2.1%
사 1318
 
2.0%
지 1258
 
1.9%
영 1090
 
1.7%
Other values (563) 46888
71.0%
None
ValueCountFrequency (%)
㈜ 26
89.7%
· 3
 
10.3%

충전소 주소
Text

Distinct4440
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
2023-12-12T08:13:22.509485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length22.510985
Min length12

Characters and Unicode

Total characters175203
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

Unique2223 ?
Unique (%)28.6%

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 1012
 
2.7%
경기도 943
 
2.5%
경상남도 786
 
2.1%
전라남도 770
 
2.0%
충청남도 715
 
1.9%
강원특별자치도 667
 
1.8%
전라북도 642
 
1.7%
충청북도 540
 
1.4%
서울특별시 348
 
0.9%
제주특별자치도 347
 
0.9%
Other values (7339) 31245
82.2%
2023-12-12T08:13:23.204593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37668
 
21.5%
도 7169
 
4.1%
시 5655
 
3.2%
1 5392
 
3.1%
로 4251
 
2.4%
2 3778
 
2.2%
남 3331
 
1.9%
경 3099
 
1.8%
3 2855
 
1.6%
군 2824
 
1.6%
Other values (524) 99181
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107254
61.2%
Space Separator 37668
 
21.5%
Decimal Number 26647
 
15.2%
Dash Punctuation 2490
 
1.4%
Open Punctuation 370
 
0.2%
Close Punctuation 370
 
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 7169
 
6.7%
시 5655
 
5.3%
로 4251
 
4.0%
남 3331
 
3.1%
경 3099
 
2.9%
군 2824
 
2.6%
구 2790
 
2.6%
북 2665
 
2.5%
면 2657
 
2.5%
산 2453
 
2.3%
Other values (490) 70360
65.6%
Uppercase Letter
ValueCountFrequency (%)
B 44
57.9%
F 7
 
9.2%
A 3
 
3.9%
D 3
 
3.9%
R 2
 
2.6%
G 2
 
2.6%
T 2
 
2.6%
C 2
 
2.6%
E 2
 
2.6%
K 2
 
2.6%
Other values (5) 7
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 5392
20.2%
2 3778
14.2%
3 2855
10.7%
4 2406
9.0%
5 2377
8.9%
0 2193
8.2%
6 2079
 
7.8%
7 2029
 
7.6%
9 1770
 
6.6%
8 1768
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 302
92.4%
？ 15
 
4.6%
. 8
 
2.4%
* 2
 
0.6%
Space Separator
ValueCountFrequency (%)
37668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 370
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107254
61.2%
Common 67872
38.7%
Latin 77
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7169
 
6.7%
시 5655
 
5.3%
로 4251
 
4.0%
남 3331
 
3.1%
경 3099
 
2.9%
군 2824
 
2.6%
구 2790
 
2.6%
북 2665
 
2.5%
면 2657
 
2.5%
산 2453
 
2.3%
Other values (490) 70360
65.6%
Common
ValueCountFrequency (%)
37668
55.5%
1 5392
 
7.9%
2 3778
 
5.6%
3 2855
 
4.2%
- 2490
 
3.7%
4 2406
 
3.5%
5 2377
 
3.5%
0 2193
 
3.2%
6 2079
 
3.1%
7 2029
 
3.0%
Other values (8) 4605
 
6.8%
Latin
ValueCountFrequency (%)
B 44
57.1%
F 7
 
9.1%
A 3
 
3.9%
D 3
 
3.9%
R 2
 
2.6%
G 2
 
2.6%
T 2
 
2.6%
C 2
 
2.6%
E 2
 
2.6%
K 2
 
2.6%
Other values (6) 8
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107254
61.2%
ASCII 67934
38.8%
None 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37668
55.4%
1 5392
 
7.9%
2 3778
 
5.6%
3 2855
 
4.2%
- 2490
 
3.7%
4 2406
 
3.5%
5 2377
 
3.5%
0 2193
 
3.2%
6 2079
 
3.1%
7 2029
 
3.0%
Other values (23) 4667
 
6.9%
Hangul
ValueCountFrequency (%)
도 7169
 
6.7%
시 5655
 
5.3%
로 4251
 
4.0%
남 3331
 
3.1%
경 3099
 
2.9%
군 2824
 
2.6%
구 2790
 
2.6%
북 2665
 
2.5%
면 2657
 
2.5%
산 2453
 
2.3%
Other values (490) 70360
65.6%
None
ValueCountFrequency (%)
？ 15
100.0%

대분류
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
공공시설
2700 
주차시설
1527 
휴게시설
797 
관광시설
793 
근린생활시설
636 
Other values (5)
1330 

Length

Max length6
Median length4
Mean length4.3222408
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 2700
34.7%
주차시설 1527
19.6%
휴게시설 797
 
10.2%
관광시설 793
 
10.2%
근린생활시설 636
 
8.2%
교육문화시설 559
 
7.2%
상업시설 472
 
6.1%
기타시설 240
 
3.1%
공동주택시설 32
 
0.4%
차량정비시설 27
 
0.3%

Length

2023-12-12T08:13:23.367265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:23.514717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 2700
34.7%
주차시설 1527
19.6%
휴게시설 797
 
10.2%
관광시설 793
 
10.2%
근린생활시설 636
 
8.2%
교육문화시설 559
 
7.2%
상업시설 472
 
6.1%
기타시설 240
 
3.1%
공동주택시설 32
 
0.4%
차량정비시설 27
 
0.3%

소분류
Text

Distinct51
Distinct (%)0.7%
Missing39
Missing (%)0.5%
Memory size60.9 KiB
2023-12-12T08:13:23.743127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.3256715
Min length2

Characters and Unicode

Total characters33498
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 1170
13.8%
공공기관 778
 
9.2%
주민센터 730
 
8.6%
휴게소 722
 
8.5%
고속도로 699
 
8.3%
지자체시설 656
 
7.7%
관공서 531
 
6.3%
공원 313
 
3.7%
마트(쇼핑몰 310
 
3.7%
경찰서 259
 
3.1%
Other values (42) 2298
27.1%
2023-12-12T08:13:24.037614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3846
 
11.5%
주 2349
 
7.0%
관 2024
 
6.0%
장 1935
 
5.8%
차 1527
 
4.6%
기 1238
 
3.7%
영 1188
 
3.5%
지 1084
 
3.2%
소 945
 
2.8%
서 855
 
2.6%
Other values (82) 16507
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32082
95.8%
Space Separator 722
 
2.2%
Open Punctuation 341
 
1.0%
Close Punctuation 341
 
1.0%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3846
 
12.0%
주 2349
 
7.3%
관 2024
 
6.3%
장 1935
 
6.0%
차 1527
 
4.8%
기 1238
 
3.9%
영 1188
 
3.7%
지 1084
 
3.4%
소 945
 
2.9%
서 855
 
2.7%
Other values (78) 15091
47.0%
Space Separator
ValueCountFrequency (%)
722
100.0%
Open Punctuation
ValueCountFrequency (%)
( 341
100.0%
Close Punctuation
ValueCountFrequency (%)
) 341
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32082
95.8%
Common 1404
 
4.2%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3846
 
12.0%
주 2349
 
7.3%
관 2024
 
6.3%
장 1935
 
6.0%
차 1527
 
4.8%
기 1238
 
3.9%
영 1188
 
3.7%
지 1084
 
3.4%
소 945
 
2.9%
서 855
 
2.7%
Other values (78) 15091
47.0%
Common
ValueCountFrequency (%)
722
51.4%
( 341
24.3%
) 341
24.3%
Latin
ValueCountFrequency (%)
C 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32082
95.8%
ASCII 1416
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3846
 
12.0%
주 2349
 
7.3%
관 2024
 
6.3%
장 1935
 
6.0%
차 1527
 
4.8%
기 1238
 
3.9%
영 1188
 
3.7%
지 1084
 
3.4%
소 945
 
2.9%
서 855
 
2.7%
Other values (78) 15091
47.0%
ASCII
ValueCountFrequency (%)
722
51.0%
( 341
24.1%
) 341
24.1%
C 12
 
0.8%

충전소ID
Text

Distinct4596
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
2023-12-12T08:13:24.307604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters62264
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

Unique2380 ?
Unique (%)30.6%

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%
me20a803 8
 
0.1%
me19w401 8
 
0.1%
me19a801 8
 
0.1%
me20a801 8
 
0.1%
me22c802 8
 
0.1%
me19a802 8
 
0.1%
Other values (4586) 7669
98.5%
2023-12-12T08:13:24.667885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10141
16.3%
2 8903
14.3%
E 8102
13.0%
M 7825
12.6%
0 4718
7.6%
8 3352
 
5.4%
9 3145
 
5.1%
4 2824
 
4.5%
3 2382
 
3.8%
C 1840
 
3.0%
Other values (19) 9032
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39900
64.1%
Uppercase Letter 22199
35.7%
Lowercase Letter 165
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8102
36.5%
M 7825
35.2%
C 1840
 
8.3%
B 1611
 
7.3%
A 1496
 
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 10141
25.4%
2 8903
22.3%
0 4718
11.8%
8 3352
 
8.4%
9 3145
 
7.9%
4 2824
 
7.1%
3 2382
 
6.0%
7 1549
 
3.9%
5 1490
 
3.7%
6 1396
 
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 39900
64.1%
Latin 22364
35.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8102
36.2%
M 7825
35.0%
C 1840
 
8.2%
B 1611
 
7.2%
A 1496
 
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 10141
25.4%
2 8903
22.3%
0 4718
11.8%
8 3352
 
8.4%
9 3145
 
7.9%
4 2824
 
7.1%
3 2382
 
6.0%
7 1549
 
3.9%
5 1490
 
3.7%
6 1396
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10141
16.3%
2 8903
14.3%
E 8102
13.0%
M 7825
12.6%
0 4718
7.6%
8 3352
 
5.4%
9 3145
 
5.1%
4 2824
 
4.5%
3 2382
 
3.8%
C 1840
 
3.0%
Other values (19) 9032
14.5%

충전기ID
Real number (ℝ)

Distinct64
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.39779
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:24.822690image/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 deviation21.438761
Coefficient of variation (CV)1.3923271
Kurtosis4.3921319
Mean15.39779
Median Absolute Deviation (MAD)2
Skewness2.1062929
Sum119841
Variance459.62046
MonotonicityNot monotonic
2023-12-12T08:13:24.938304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3043
39.1%
21 823
 
10.6%
22 823
 
10.6%
2 802
 
10.3%
11 356
 
4.6%
12 355
 
4.6%
91 207
 
2.7%
3 137
 
1.8%
52 115
 
1.5%
44 97
 
1.2%
Other values (54) 1025
 
13.2%
ValueCountFrequency (%)
1 3043
39.1%
2 802
 
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%

제조사
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
대영채비
4629 
시그넷
2470 
중앙제어
 
381
클린일렉스
 
300
상명엔지니어링
 
3

Length

Max length7
Median length4
Mean length3.7223436
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대영채비 4629
59.5%
시그넷 2470
31.7%
중앙제어 381
 
4.9%
클린일렉스 300
 
3.9%
상명엔지니어링 3
 
< 0.1%

Length

2023-12-12T08:13:25.085587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:25.189596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대영채비 4629
59.5%
시그넷 2470
31.7%
중앙제어 381
 
4.9%
클린일렉스 300
 
3.9%
상명엔지니어링 3
 
< 0.1%

모델명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
<NA>
6011 
DCV-3FS100E-U
 
569
DCV-3FS100W-U
 
535
KL51-200-CCO2S
 
300
DCV-3FNHOC-U
 
298
Other values (3)
 
70

Length

Max length14
Median length4
Mean length6.0290376
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6011
77.2%
DCV-3FS100E-U 569
 
7.3%
DCV-3FS100W-U 535
 
6.9%
KL51-200-CCO2S 300
 
3.9%
DCV-3FNHOC-U 298
 
3.8%
DCV-3MS30 32
 
0.4%
DCV-3FNHOC-F 30
 
0.4%
DCV-3FS100N-U 8
 
0.1%

Length

2023-12-12T08:13:25.306859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:25.412058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6011
77.2%
dcv-3fs100e-u 569
 
7.3%
dcv-3fs100w-u 535
 
6.9%
kl51-200-cco2s 300
 
3.9%
dcv-3fnhoc-u 298
 
3.8%
dcv-3ms30 32
 
0.4%
dcv-3fnhoc-f 30
 
0.4%
dcv-3fs100n-u 8
 
0.1%

충전기타입
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
DC콤보
6160 
DC차데모+AC3상+DC콤보
1590 
DC콤보(완속)
 
32
DC차데모+DC콤보
 
1

Length

Max length15
Median length4
Mean length6.2644225
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
79.1%
DC차데모+AC3상+DC콤보 1590
 
20.4%
DC콤보(완속) 32
 
0.4%
DC차데모+DC콤보 1
 
< 0.1%

Length

2023-12-12T08:13:25.516097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:25.600790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 6160
79.1%
dc차데모+ac3상+dc콤보 1590
 
20.4%
dc콤보(완속 32
 
0.4%
dc차데모+dc콤보 1
 
< 0.1%

충전용량
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
급속(100kW단독)
3102 
급속(200kW동시)
2362 
급속(50kW)
958 
급속(100kW멀티)
483 
급속(100kW동시)
430 
Other values (5)
448 

Length

Max length12
Median length11
Mean length10.631248
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) 3102
39.9%
급속(200kW동시) 2362
30.3%
급속(50kW) 958
 
12.3%
급속(100kW멀티) 483
 
6.2%
급속(100kW동시) 430
 
5.5%
급속(300kW동시) 178
 
2.3%
급속(400kW동시) 116
 
1.5%
급속(300kW단독) 86
 
1.1%
초급속(350kW단독) 36
 
0.5%
완속(30kW단독) 32
 
0.4%

Length

2023-12-12T08:13:25.698346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:25.820990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급속(100kw단독 3102
39.9%
급속(200kw동시 2362
30.3%
급속(50kw 958
 
12.3%
급속(100kw멀티 483
 
6.2%
급속(100kw동시 430
 
5.5%
급속(300kw동시 178
 
2.3%
급속(400kw동시 116
 
1.5%
급속(300kw단독 86
 
1.1%
초급속(350kw단독 36
 
0.5%
완속(30kw단독 32
 
0.4%

충전방식(단독_동시)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
단독
5116 
동시
2667 

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 5116
65.7%
동시 2667
34.3%

Length

2023-12-12T08:13:25.934306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:26.006117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독 5116
65.7%
동시 2667
34.3%

충전기상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
사용가능
6580 
충전중
 
637
통신이상
 
266
점검중
 
213
운영중지
 
49

Length

Max length4
Median length4
Mean length3.8907876
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용가능 6580
84.5%
충전중 637
 
8.2%
통신이상 266
 
3.4%
점검중 213
 
2.7%
운영중지 49
 
0.6%
알수없음 38
 
0.5%

Length

2023-12-12T08:13:26.089060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:13:26.181354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용가능 6580
84.5%
충전중 637
 
8.2%
통신이상 266
 
3.4%
점검중 213
 
2.7%
운영중지 49
 
0.6%
알수없음 38
 
0.5%

상태정보수신일
Date

Distinct1394
Distinct (%)17.9%
Missing2
Missing (%)< 0.1%
Memory size60.9 KiB
Minimum2021-07-23 17:06:59
Maximum2023-11-07 10:42:04
2023-12-12T08:13:26.281967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:13:26.411391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전시작일시
Date

Distinct7465
Distinct (%)96.2%
Missing26
Missing (%)0.3%
Memory size60.9 KiB
Minimum2021-07-23 09:48:49
Maximum2023-11-07 10:19:50
2023-12-12T08:13:26.519007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:13:26.633962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마지막 충전종료일시
Date

Distinct7421
Distinct (%)95.7%
Missing26
Missing (%)0.3%
Memory size60.9 KiB
Minimum2021-07-23 10:06:02
Maximum2023-11-07 10:23:04
2023-12-12T08:13:26.748215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:13:26.862858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

충전중 충전시작일시
Date

MISSING 

Distinct488
Distinct (%)89.1%
Missing7235
Missing (%)93.0%
Memory size60.9 KiB
Minimum2023-10-13 12:04:47
Maximum2023-11-07 10:23:30
2023-12-12T08:13:26.970523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:13:27.067548image/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%
Mean99.333291
Minimum0
Maximum939
Zeros806
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:27.167340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median63
Q3138
95-th percentile324
Maximum939
Range939
Interquartile range (IQR)119

Descriptive statistics

Standard deviation114.26494
Coefficient of variation (CV)1.1503186
Kurtosis6.4526656
Mean99.333291
Median Absolute Deviation (MAD)52
Skewness2.168868
Sum773111
Variance13056.475
MonotonicityNot monotonic
2023-12-12T08:13:27.268826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 806
 
10.4%
16 83
 
1.1%
8 73
 
0.9%
15 68
 
0.9%
6 68
 
0.9%
7 67
 
0.9%
12 67
 
0.9%
10 64
 
0.8%
3 64
 
0.8%
17 64
 
0.8%
Other values (536) 6359
81.7%
ValueCountFrequency (%)
0 806
10.4%
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 

Distinct6911
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2091.5735
Minimum0
Maximum22944.68
Zeros806
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:27.369330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1393.005
median1301.87
Q32902.515
95-th percentile6909.607
Maximum22944.68
Range22944.68
Interquartile range (IQR)2509.51

Descriptive statistics

Standard deviation2480.0698
Coefficient of variation (CV)1.1857435
Kurtosis8.3503374
Mean2091.5735
Median Absolute Deviation (MAD)1079.46
Skewness2.3980338
Sum16278717
Variance6150746.2
MonotonicityNot monotonic
2023-12-12T08:13:27.477534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 806
 
10.4%
904.78 3
 
< 0.1%
262.65 2
 
< 0.1%
279.52 2
 
< 0.1%
4397.05 2
 
< 0.1%
213.93 2
 
< 0.1%
2450.35 2
 
< 0.1%
3549.83 2
 
< 0.1%
3296.71 2
 
< 0.1%
749.67 2
 
< 0.1%
Other values (6901) 6958
89.4%
ValueCountFrequency (%)
0.0 806
10.4%
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 

Distinct496
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.232301
Minimum0
Maximum817
Zeros723
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:27.601376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median52
Q3115
95-th percentile275.9
Maximum817
Range817
Interquartile range (IQR)99

Descriptive statistics

Standard deviation99.451879
Coefficient of variation (CV)1.1806858
Kurtosis8.0064511
Mean84.232301
Median Absolute Deviation (MAD)42
Skewness2.3899286
Sum655580
Variance9890.6762
MonotonicityNot monotonic
2023-12-12T08:13:28.369175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 723
 
9.3%
3 102
 
1.3%
4 90
 
1.2%
7 89
 
1.1%
8 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 (486) 6291
80.8%
ValueCountFrequency (%)
0 723
9.3%
1 56
 
0.7%
2 66
 
0.8%
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 

Distinct6986
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1779.4962
Minimum0
Maximum21390.21
Zeros723
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:28.524097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1338.455
median1085.93
Q32419.26
95-th percentile5857.546
Maximum21390.21
Range21390.21
Interquartile range (IQR)2080.805

Descriptive statistics

Standard deviation2170.5433
Coefficient of variation (CV)1.2197516
Kurtosis10.997242
Mean1779.4962
Median Absolute Deviation (MAD)897.92
Skewness2.7000877
Sum13849819
Variance4711258.1
MonotonicityNot monotonic
2023-12-12T08:13:28.653587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 723
 
9.3%
7.7 3
 
< 0.1%
713.92 2
 
< 0.1%
470.69 2
 
< 0.1%
782.76 2
 
< 0.1%
188.11 2
 
< 0.1%
282.26 2
 
< 0.1%
111.34 2
 
< 0.1%
536.06 2
 
< 0.1%
304.49 2
 
< 0.1%
Other values (6976) 7041
90.5%
ValueCountFrequency (%)
0.0 723
9.3%
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 

Distinct485
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.571887
Minimum0
Maximum921
Zeros669
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:28.769838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median53
Q3114
95-th percentile272
Maximum921
Range921
Interquartile range (IQR)96

Descriptive statistics

Standard deviation98.037839
Coefficient of variation (CV)1.1730959
Kurtosis9.0111914
Mean83.571887
Median Absolute Deviation (MAD)41
Skewness2.5020793
Sum650440
Variance9611.4178
MonotonicityNot monotonic
2023-12-12T08:13:28.883123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
8.6%
3 118
 
1.5%
21 85
 
1.1%
17 82
 
1.1%
19 82
 
1.1%
12 78
 
1.0%
16 77
 
1.0%
2 77
 
1.0%
4 77
 
1.0%
7 76
 
1.0%
Other values (475) 6362
81.7%
ValueCountFrequency (%)
0 669
8.6%
1 60
 
0.8%
2 77
 
1.0%
3 118
 
1.5%
4 77
 
1.0%
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 

Distinct7026
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1828.7994
Minimum0
Maximum23751.83
Zeros669
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:28.997158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1387.665
median1175.51
Q32473.97
95-th percentile5912.373
Maximum23751.83
Range23751.83
Interquartile range (IQR)2086.305

Descriptive statistics

Standard deviation2192.8276
Coefficient of variation (CV)1.1990531
Kurtosis12.87582
Mean1828.7994
Median Absolute Deviation (MAD)931.21
Skewness2.8438654
Sum14233546
Variance4808492.9
MonotonicityNot monotonic
2023-12-12T08:13:29.122863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 669
 
8.6%
0.72 7
 
0.1%
0.73 3
 
< 0.1%
0.79 3
 
< 0.1%
0.74 3
 
< 0.1%
2346.11 2
 
< 0.1%
75.8 2
 
< 0.1%
1833.15 2
 
< 0.1%
7.43 2
 
< 0.1%
802.48 2
 
< 0.1%
Other values (7016) 7088
91.1%
ValueCountFrequency (%)
0.0 669
8.6%
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%
Mean78.337659
Minimum0
Maximum903
Zeros749
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:29.264682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median49
Q3104.5
95-th percentile258
Maximum903
Range903
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation93.875333
Coefficient of variation (CV)1.1983423
Kurtosis10.761831
Mean78.337659
Median Absolute Deviation (MAD)38
Skewness2.7263272
Sum609702
Variance8812.5781
MonotonicityNot monotonic
2023-12-12T08:13:29.383592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 749
 
9.6%
13 85
 
1.1%
23 82
 
1.1%
17 81
 
1.0%
22 80
 
1.0%
25 79
 
1.0%
21 78
 
1.0%
10 77
 
1.0%
20 77
 
1.0%
9 77
 
1.0%
Other values (466) 6318
81.2%
ValueCountFrequency (%)
0 749
9.6%
1 59
 
0.8%
2 44
 
0.6%
3 74
 
1.0%
4 62
 
0.8%
5 52
 
0.7%
6 66
 
0.8%
7 71
 
0.9%
8 68
 
0.9%
9 77
 
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 

Distinct6968
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.951
Minimum0
Maximum23200.37
Zeros749
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:29.520068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1393.315
median1132.61
Q32356.115
95-th percentile5624.104
Maximum23200.37
Range23200.37
Interquartile range (IQR)1962.8

Descriptive statistics

Standard deviation2135.3487
Coefficient of variation (CV)1.2146804
Kurtosis14.000173
Mean1757.951
Median Absolute Deviation (MAD)871.6
Skewness2.9891372
Sum13682133
Variance4559714.2
MonotonicityNot monotonic
2023-12-12T08:13:29.662258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 749
 
9.6%
836.11 2
 
< 0.1%
1169.57 2
 
< 0.1%
2233.9 2
 
< 0.1%
440.51 2
 
< 0.1%
965.93 2
 
< 0.1%
1862.52 2
 
< 0.1%
95.27 2
 
< 0.1%
5.34 2
 
< 0.1%
462.64 2
 
< 0.1%
Other values (6958) 7016
90.1%
ValueCountFrequency (%)
0.0 749
9.6%
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 

Distinct477
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.512656
Minimum0
Maximum848
Zeros711
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:29.807663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median50
Q3105
95-th percentile254.9
Maximum848
Range848
Interquartile range (IQR)87

Descriptive statistics

Standard deviation93.914754
Coefficient of variation (CV)1.1961734
Kurtosis9.4140286
Mean78.512656
Median Absolute Deviation (MAD)38
Skewness2.6219139
Sum611064
Variance8819.981
MonotonicityNot monotonic
2023-12-12T08:13:29.945025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 711
 
9.1%
3 88
 
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%
17 78
 
1.0%
14 77
 
1.0%
Other values (467) 6346
81.5%
ValueCountFrequency (%)
0 711
9.1%
1 60
 
0.8%
2 45
 
0.6%
3 88
 
1.1%
4 76
 
1.0%
5 70
 
0.9%
6 66
 
0.8%
7 67
 
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 

Distinct6999
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1797.802
Minimum0
Maximum22786.04
Zeros711
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:30.097543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1403.375
median1145.82
Q32439.845
95-th percentile5735.52
Maximum22786.04
Range22786.04
Interquartile range (IQR)2036.47

Descriptive statistics

Standard deviation2154.2812
Coefficient of variation (CV)1.1982861
Kurtosis11.847309
Mean1797.802
Median Absolute Deviation (MAD)892.54
Skewness2.7991266
Sum13992293
Variance4640927.3
MonotonicityNot monotonic
2023-12-12T08:13:30.227146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 711
 
9.1%
3.1 3
 
< 0.1%
597.52 3
 
< 0.1%
165.91 2
 
< 0.1%
2115.22 2
 
< 0.1%
648.36 2
 
< 0.1%
420.44 2
 
< 0.1%
37.0 2
 
< 0.1%
1169.68 2
 
< 0.1%
1954.13 2
 
< 0.1%
Other values (6989) 7052
90.6%
ValueCountFrequency (%)
0.0 711
9.1%
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 (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.501478
Minimum0
Maximum740
Zeros571
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:30.344692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation89.891818
Coefficient of variation (CV)1.1750337
Kurtosis8.2299242
Mean76.501478
Median Absolute Deviation (MAD)38
Skewness2.4684126
Sum595411
Variance8080.5389
MonotonicityNot monotonic
2023-12-12T08:13:30.494888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 571
 
7.3%
3 199
 
2.6%
4 102
 
1.3%
11 89
 
1.1%
16 85
 
1.1%
25 81
 
1.0%
13 80
 
1.0%
18 80
 
1.0%
9 79
 
1.0%
27 79
 
1.0%
Other values (453) 6338
81.4%
ValueCountFrequency (%)
0 571
7.3%
1 64
 
0.8%
2 71
 
0.9%
3 199
 
2.6%
4 102
 
1.3%
5 77
 
1.0%
6 66
 
0.8%
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 

Distinct7121
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1774.4543
Minimum0
Maximum20415.79
Zeros571
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:30.632295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1394.695
median1141.42
Q32415.255
95-th percentile5658.254
Maximum20415.79
Range20415.79
Interquartile range (IQR)2020.56

Descriptive statistics

Standard deviation2087.2717
Coefficient of variation (CV)1.1762894
Kurtosis10.324456
Mean1774.4543
Median Absolute Deviation (MAD)894.38
Skewness2.6245119
Sum13810577
Variance4356703.2
MonotonicityNot monotonic
2023-12-12T08:13:30.777751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 571
 
7.3%
6.63 3
 
< 0.1%
395.96 2
 
< 0.1%
325.76 2
 
< 0.1%
4.02 2
 
< 0.1%
488.01 2
 
< 0.1%
76.39 2
 
< 0.1%
4245.55 2
 
< 0.1%
1807.66 2
 
< 0.1%
6.08 2
 
< 0.1%
Other values (7111) 7193
92.4%
ValueCountFrequency (%)
0.0 571
7.3%
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 (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.159964
Minimum0
Maximum746
Zeros549
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:30.950697image/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 deviation91.473854
Coefficient of variation (CV)1.155557
Kurtosis7.3969909
Mean79.159964
Median Absolute Deviation (MAD)40
Skewness2.3391513
Sum616102
Variance8367.4659
MonotonicityNot monotonic
2023-12-12T08:13:31.096988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 549
 
7.1%
3 220
 
2.8%
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) 6355
81.7%
ValueCountFrequency (%)
0 549
7.1%
1 71
 
0.9%
2 65
 
0.8%
3 220
2.8%
4 86
 
1.1%
5 82
 
1.1%
6 87
 
1.1%
7 72
 
0.9%
8 73
 
0.9%
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 

Distinct7150
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1858.5515
Minimum0
Maximum21728.74
Zeros549
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:31.254376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1396.99
median1208.27
Q32557.585
95-th percentile5988.658
Maximum21728.74
Range21728.74
Interquartile range (IQR)2160.595

Descriptive statistics

Standard deviation2165.5934
Coefficient of variation (CV)1.1652049
Kurtosis9.9279252
Mean1858.5515
Median Absolute Deviation (MAD)951.42
Skewness2.546256
Sum14465106
Variance4689794.7
MonotonicityNot monotonic
2023-12-12T08:13:31.394762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 549
 
7.1%
11.64 3
 
< 0.1%
635.08 3
 
< 0.1%
11.15 3
 
< 0.1%
4.83 3
 
< 0.1%
38.39 3
 
< 0.1%
388.71 2
 
< 0.1%
362.41 2
 
< 0.1%
774.02 2
 
< 0.1%
4.33 2
 
< 0.1%
Other values (7140) 7211
92.7%
ValueCountFrequency (%)
0.0 549
7.1%
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%
Mean81.954773
Minimum0
Maximum776
Zeros623
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:31.609877image/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 deviation93.197048
Coefficient of variation (CV)1.1371766
Kurtosis7.363869
Mean81.954773
Median Absolute Deviation (MAD)41
Skewness2.3057648
Sum637854
Variance8685.6898
MonotonicityNot monotonic
2023-12-12T08:13:31.822713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 623
 
8.0%
3 124
 
1.6%
1 90
 
1.2%
18 87
 
1.1%
13 85
 
1.1%
28 79
 
1.0%
8 78
 
1.0%
4 75
 
1.0%
26 75
 
1.0%
25 74
 
1.0%
Other values (469) 6393
82.1%
ValueCountFrequency (%)
0 623
8.0%
1 90
 
1.2%
2 70
 
0.9%
3 124
 
1.6%
4 75
 
1.0%
5 74
 
1.0%
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 

Distinct7090
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1935.1877
Minimum0
Maximum21534.82
Zeros623
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:32.333763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1434.35
median1260.02
Q32674.16
95-th percentile6161.386
Maximum21534.82
Range21534.82
Interquartile range (IQR)2239.81

Descriptive statistics

Standard deviation2220.886
Coefficient of variation (CV)1.1476334
Kurtosis9.8669957
Mean1935.1877
Median Absolute Deviation (MAD)994.7
Skewness2.517152
Sum15061566
Variance4932334.4
MonotonicityNot monotonic
2023-12-12T08:13:32.506882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 623
 
8.0%
5.32 2
 
< 0.1%
2183.64 2
 
< 0.1%
2186.73 2
 
< 0.1%
457.27 2
 
< 0.1%
2971.32 2
 
< 0.1%
1065.57 2
 
< 0.1%
571.97 2
 
< 0.1%
2669.4 2
 
< 0.1%
1183.59 2
 
< 0.1%
Other values (7080) 7142
91.8%
ValueCountFrequency (%)
0.0 623
8.0%
0.25 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 1
 
< 0.1%
0.62 1
 
< 0.1%
0.66 1
 
< 0.1%
0.68 1
 
< 0.1%
0.86 1
 
< 0.1%
0.87 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%
Mean73.053064
Minimum0
Maximum695
Zeros412
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:32.680744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median48
Q399
95-th percentile229.9
Maximum695
Range695
Interquartile range (IQR)81

Descriptive statistics

Standard deviation82.578958
Coefficient of variation (CV)1.1303969
Kurtosis8.3454584
Mean73.053064
Median Absolute Deviation (MAD)36
Skewness2.4314248
Sum568572
Variance6819.2844
MonotonicityNot monotonic
2023-12-12T08:13:32.848820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 412
 
5.3%
3 131
 
1.7%
1 116
 
1.5%
4 110
 
1.4%
9 97
 
1.2%
2 94
 
1.2%
7 90
 
1.2%
6 89
 
1.1%
21 86
 
1.1%
20 85
 
1.1%
Other values (425) 6473
83.2%
ValueCountFrequency (%)
0 412
5.3%
1 116
 
1.5%
2 94
 
1.2%
3 131
 
1.7%
4 110
 
1.4%
5 72
 
0.9%
6 89
 
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 

Distinct7267
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1694.1614
Minimum0
Maximum19904.72
Zeros412
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2023-12-12T08:13:33.037148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1404.235
median1115.89
Q32282.75
95-th percentile5385.875
Maximum19904.72
Range19904.72
Interquartile range (IQR)1878.515

Descriptive statistics

Standard deviation1941.6945
Coefficient of variation (CV)1.1461095
Kurtosis11.350547
Mean1694.1614
Median Absolute Deviation (MAD)846.23
Skewness2.6763609
Sum13185658
Variance3770177.5
MonotonicityNot monotonic
2023-12-12T08:13:33.207331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 412
 
5.3%
2.05 4
 
0.1%
710.17 3
 
< 0.1%
6.04 3
 
< 0.1%
1.87 2
 
< 0.1%
652.23 2
 
< 0.1%
159.7 2
 
< 0.1%
323.51 2
 
< 0.1%
259.82 2
 
< 0.1%
1387.49 2
 
< 0.1%
Other values (7257) 7349
94.4%
ValueCountFrequency (%)
0.0 412
5.3%
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 주소대분류소분류충전소ID충전기ID제조사모델명충전기타입충전용량충전방식(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 우측공공시설관공서ME1740981시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:21:102023-11-06 11:54:122023-11-06 12:17:07<NA>28444.4823394.8335597.811199.7832615.7622221.2622331.9413269.1117310.75
1속초시청 길건너 공영주차장강원특별자치도 속초시 중앙동 468-12주차시설공영주차장ME1740991시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:19:412023-11-06 16:25:592023-11-06 17:04:38<NA>1602283.921351829.591231518.411151530.731241698.176998.351081696.481743673.111563300.92
2양구 5일장 앞 공영주차장강원특별자치도 양구군 양구읍 사명길 37-4주차시설공영주차장ME1741001시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:20:522023-11-07 05:13:082023-11-07 05:43:59<NA>1211998.031001790.51041842.96991712.271202110.0762861.821041853.21861713.11011872.69
3정선종합운동장강원특별자치도 정선군 정선읍 애산리 768 보조경기장 옆공공시설지자체시설ME1741011시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:21:072023-11-07 05:01:122023-11-07 05:44:38<NA>36646.4548944.736611.429624.2344858.97701497.39671477.05611396.6491050.76
4태백시청 후문 주차장강원특별자치도 태백시 황지동 244-3공공시설관공서ME1741021시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독충전중2023-11-07 10:21:512023-11-06 17:22:112023-11-06 17:49:31<NA>1301688.7469853.6628248.571051641.841302459.311122263.741392912.31763557.871803576.27
5화천청소년수련관 주차장강원특별자치도 화천군 화천읍 산천어길 79주차시설일반주차장ME1741031시그넷<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:20:422023-11-06 22:19:542023-11-06 22:36:54<NA>1612414.3267759.9577677.3577779.470694.8742462.0645566.4525228.3338485.24
6원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780731대영채비<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:22:072023-11-07 09:40:482023-11-07 10:03:49<NA>2334370.431472697.541853442.732304318.052394468.732584778.252685102.93165161.952533537.99
7원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780732대영채비<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:22:202023-11-07 09:31:592023-11-07 09:58:25<NA>1402620.021232193.721582980.52941587.381492855.81703248.49731255.791472777.451192218.19
8원주(부산) 휴게소강원특별자치도 원주시 호저면 마근거리길 120 (옥산리) 211휴게시설고속도로 휴게소ME1780733대영채비<NA>DC차데모+AC3상+DC콤보급속(50kW)단독충전중2023-11-07 10:22:052023-11-07 09:27:232023-11-07 10:07:58<NA>2464359.921873281.472043797.932194077.422494670.281572989.011883511.4857497.1650401.29
9원주(춘천) 휴게소강원특별자치도 원주시 호저면 마근거리길 110 (옥산리) 215휴게시설고속도로 휴게소ME1780741대영채비<NA>DC차데모+AC3상+DC콤보급속(50kW)단독사용가능2023-11-07 10:19:032023-11-04 15:51:292023-11-04 16:08:15<NA>721251.9627385.2613246.9728369.2651850.32721101.6738708.052891.6554806.33
충전소명충전소 주소대분류소분류충전소ID충전기ID제조사모델명충전기타입충전용량충전방식(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
7773단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3031대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독점검중2023-11-07 09:57:022023-11-07 09:39:392023-11-07 09:57:02<NA>00.000.000.000.000.000.000.0314.35371.21
7774단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3032대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 10:15:332023-11-07 06:42:272023-11-07 07:12:44<NA>00.000.000.000.000.000.000.038.31457.37
7775단양(춘천)휴게소충청북도 단양군 단성면 하방3길 100휴게시설고속도로 휴게소ME22C3033대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독점검중2023-11-07 10:13:082023-11-07 07:41:222023-11-07 08:11:15<NA>00.000.000.000.000.000.000.027.08471286.7
7776서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3041대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 10:14:422023-11-06 18:09:572023-11-06 18:33:31<NA>00.000.000.000.000.000.000.035.4911.85
7777서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3042대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독충전중2023-11-07 10:22:202023-11-03 22:41:402023-11-03 23:15:372023-11-07 10:14:1200.000.000.000.000.000.000.035.86216.01
7778서청주영업소충청북도 청주시 흥덕구 지동동 410-1휴게시설고속도로 휴게소ME22C3043대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 10:14:452023-11-06 15:16:412023-11-06 15:38:12<NA>00.000.000.000.000.000.000.036.02329.84
7779단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4021대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 10:14:502023-11-06 15:01:242023-11-06 15:04:11<NA>00.000.000.000.000.000.000.0311.427164.25
7780단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4022대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 10:14:312023-11-06 17:14:212023-11-06 17:39:07<NA>00.000.000.000.000.000.000.0311.6122493.31
7781단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4023대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독충전중2023-11-07 10:22:512023-11-07 07:28:342023-11-07 08:01:592023-11-07 10:12:4200.000.000.000.000.000.000.0311.2337660.9
7782단양(부산)휴게소충청북도 단양군 적성면 기동2길 32-37휴게시설고속도로 휴게소ME22C4024대영채비DCV-3FS100W-UDC콤보급속(100kW단독)단독사용가능2023-11-07 09:58:592023-11-07 07:40:352023-11-07 07:57:06<NA>00.000.000.000.000.000.000.035.08361020.67