Overview

Dataset statistics

Number of variables16
Number of observations317
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory135.4 B

Variable types

Categorical7
Text2
Numeric7

Dataset

Description제주도 내 전기차 충전소 시간별 이용률 현황 : 해당 데이터는 전국 전기차 충전기 운영현황(지역, 충전소명, 운영기관,충전기 타입 등) 자료입니다.
URLhttps://www.data.go.kr/data/15120998/fileData.do

Alerts

지역 has constant value ""Constant
충전기타입 is highly overall correlated with 충전기ID and 2 other fieldsHigh correlation
대분류 is highly overall correlated with 소분류High correlation
충전방식 is highly overall correlated with 충전기ID and 2 other fieldsHigh correlation
소분류 is highly overall correlated with 대분류High correlation
충전용량 is highly overall correlated with 충전기ID and 2 other fieldsHigh correlation
충전기ID is highly overall correlated with 충전기타입 and 2 other fieldsHigh correlation
2023년 01월 충전횟수 is highly overall correlated with 2023년 01월 충전량 and 4 other fieldsHigh correlation
2023년 01월 충전량 is highly overall correlated with 2023년 01월 충전횟수 and 4 other fieldsHigh correlation
2023년 02월 충전횟수 is highly overall correlated with 2023년 01월 충전횟수 and 4 other fieldsHigh correlation
2023년 02월 충전량 is highly overall correlated with 2023년 01월 충전횟수 and 4 other fieldsHigh correlation
2023년 03월 충전횟수 is highly overall correlated with 2023년 01월 충전횟수 and 4 other fieldsHigh correlation
2023년 03월 충전량 is highly overall correlated with 2023년 01월 충전횟수 and 4 other fieldsHigh correlation
2023년 01월 충전횟수 has 7 (2.2%) zerosZeros
2023년 01월 충전량 has 7 (2.2%) zerosZeros
2023년 02월 충전횟수 has 10 (3.2%) zerosZeros
2023년 02월 충전량 has 10 (3.2%) zerosZeros
2023년 03월 충전횟수 has 12 (3.8%) zerosZeros
2023년 03월 충전량 has 12 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-12 03:53:07.105959
Analysis finished2023-12-12 03:53:15.846976
Duration8.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
제주특별자치도
317 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 317
100.0%

Length

2023-12-12T12:53:15.935321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:16.055408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 317
100.0%

시군구
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
제주시
174 
서귀포시
143 

Length

Max length5
Median length4
Mean length4.4511041
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 174
54.9%
서귀포시 143
45.1%

Length

2023-12-12T12:53:16.176189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:16.287598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 174
54.9%
서귀포시 143
45.1%

충전소명
Text

Distinct198
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T12:53:16.549332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length9.0851735
Min length3

Characters and Unicode

Total characters2880
Distinct characters278
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

Unique121 ?
Unique (%)38.2%

Sample

1st row남원읍 공영주차장
2nd row위미의례회관
3rd row대정감협 인근 공영주차장
4th row퐁낭 작은 도서관 앞 주차장
5th row월드컵경기장 인근 공영주차장
ValueCountFrequency (%)
공영주차장 34
 
6.9%
주차장 30
 
6.0%
신화역사공원 8
 
1.6%
인근 7
 
1.4%
앞 6
 
1.2%
주민센터 6
 
1.2%
성산항 6
 
1.2%
월드컵경기장 5
 
1.0%
표선민속마을 5
 
1.0%
관광단지 5
 
1.0%
Other values (232) 384
77.4%
2023-12-12T12:53:16.956534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
6.2%
주 166
 
5.8%
장 113
 
3.9%
차 91
 
3.2%
공 85
 
3.0%
제 76
 
2.6%
관 55
 
1.9%
영 55
 
1.9%
사 53
 
1.8%
터 53
 
1.8%
Other values (268) 1954
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2604
90.4%
Space Separator 179
 
6.2%
Decimal Number 58
 
2.0%
Uppercase Letter 10
 
0.3%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Other Punctuation 7
 
0.2%
Other Symbol 5
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 166
 
6.4%
장 113
 
4.3%
차 91
 
3.5%
공 85
 
3.3%
제 76
 
2.9%
관 55
 
2.1%
영 55
 
2.1%
사 53
 
2.0%
터 53
 
2.0%
원 52
 
2.0%
Other values (252) 1805
69.3%
Decimal Number
ValueCountFrequency (%)
1 21
36.2%
2 12
20.7%
4 9
15.5%
3 8
 
13.8%
9 7
 
12.1%
6 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
J 4
40.0%
I 2
20.0%
C 2
20.0%
G 2
20.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2609
90.6%
Common 260
 
9.0%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 166
 
6.4%
장 113
 
4.3%
차 91
 
3.5%
공 85
 
3.3%
제 76
 
2.9%
관 55
 
2.1%
영 55
 
2.1%
사 53
 
2.0%
터 53
 
2.0%
원 52
 
2.0%
Other values (253) 1810
69.4%
Common
ValueCountFrequency (%)
179
68.8%
1 21
 
8.1%
2 12
 
4.6%
4 9
 
3.5%
3 8
 
3.1%
) 8
 
3.1%
( 8
 
3.1%
9 7
 
2.7%
. 7
 
2.7%
6 1
 
0.4%
Latin
ValueCountFrequency (%)
J 4
36.4%
I 2
18.2%
C 2
18.2%
G 2
18.2%
e 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2604
90.4%
ASCII 271
 
9.4%
None 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
66.1%
1 21
 
7.7%
2 12
 
4.4%
4 9
 
3.3%
3 8
 
3.0%
) 8
 
3.0%
( 8
 
3.0%
9 7
 
2.6%
. 7
 
2.6%
J 4
 
1.5%
Other values (5) 8
 
3.0%
Hangul
ValueCountFrequency (%)
주 166
 
6.4%
장 113
 
4.3%
차 91
 
3.5%
공 85
 
3.3%
제 76
 
2.9%
관 55
 
2.1%
영 55
 
2.1%
사 53
 
2.0%
터 53
 
2.0%
원 52
 
2.0%
Other values (252) 1805
69.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%

충전기ID
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.851735
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:17.118114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q321
95-th percentile41
Maximum92
Range91
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.994804
Coefficient of variation (CV)1.420542
Kurtosis10.299558
Mean9.851735
Median Absolute Deviation (MAD)1
Skewness2.6387991
Sum3123
Variance195.85453
MonotonicityNot monotonic
2023-12-12T12:53:17.240795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 152
47.9%
21 31
 
9.8%
22 31
 
9.8%
2 23
 
7.3%
11 20
 
6.3%
12 19
 
6.0%
3 9
 
2.8%
4 6
 
1.9%
41 3
 
0.9%
44 3
 
0.9%
Other values (9) 20
 
6.3%
ValueCountFrequency (%)
1 152
47.9%
2 23
 
7.3%
3 9
 
2.8%
4 6
 
1.9%
5 2
 
0.6%
11 20
 
6.3%
12 19
 
6.0%
21 31
 
9.8%
22 31
 
9.8%
23 3
 
0.9%
ValueCountFrequency (%)
92 1
 
0.3%
91 2
0.6%
54 1
 
0.3%
52 2
0.6%
44 3
0.9%
43 3
0.9%
42 3
0.9%
41 3
0.9%
24 3
0.9%
23 3
0.9%

대분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
공공시설
115 
주차시설
73 
관광시설
59 
근린생활시설
21 
기타시설
17 
Other values (4)
32 

Length

Max length6
Median length4
Mean length4.2523659
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 115
36.3%
주차시설 73
23.0%
관광시설 59
18.6%
근린생활시설 21
 
6.6%
기타시설 17
 
5.4%
교육문화시설 16
 
5.0%
상업시설 12
 
3.8%
공동주택시설 3
 
0.9%
휴게시설 1
 
0.3%

Length

2023-12-12T12:53:17.422923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:17.637442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 115
36.3%
주차시설 73
23.0%
관광시설 59
18.6%
근린생활시설 21
 
6.6%
기타시설 17
 
5.4%
교육문화시설 16
 
5.0%
상업시설 12
 
3.8%
공동주택시설 3
 
0.9%
휴게시설 1
 
0.3%

소분류
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
공영주차장
65 
지자체시설
51 
주민센터
32 
공공기관
22 
관광지
19 
Other values (26)
128 

Length

Max length8
Median length7
Mean length3.955836
Min length2

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row공영주차장
2nd row지자체시설
3rd row공영주차장
4th row공영주차장
5th row공영주차장

Common Values

ValueCountFrequency (%)
공영주차장 65
20.5%
지자체시설 51
16.1%
주민센터 32
10.1%
공공기관 22
 
6.9%
관광지 19
 
6.0%
공원 19
 
6.0%
기타 14
 
4.4%
전시관 11
 
3.5%
관공서 10
 
3.2%
경찰서 8
 
2.5%
Other values (21) 66
20.8%

Length

2023-12-12T12:53:17.851117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공영주차장 65
20.4%
지자체시설 51
16.0%
주민센터 32
10.1%
공공기관 22
 
6.9%
관광지 19
 
6.0%
공원 19
 
6.0%
기타 14
 
4.4%
전시관 11
 
3.5%
관공서 10
 
3.1%
경찰서 8
 
2.5%
Other values (22) 67
21.1%

주소
Text

Distinct196
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T12:53:18.328421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length25.835962
Min length18

Characters and Unicode

Total characters8190
Distinct characters212
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)37.9%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원리 84-2
2nd row제주특별자치도 서귀포시 남원읍 중산간동로 6862
3rd row제주특별자치도 서귀포시 대정읍 하모리 964-2 주차장 좌측
4th row제주특별자치도 서귀포시 동홍동 470-1
5th row제주특별자치도 서귀포시 법환동 870
ValueCountFrequency (%)
제주특별자치도 321
20.7%
제주시 177
 
11.4%
서귀포시 144
 
9.3%
조천읍 26
 
1.7%
한림읍 19
 
1.2%
성산읍 18
 
1.2%
대정읍 17
 
1.1%
구좌읍 16
 
1.0%
안덕면 16
 
1.0%
한경면 13
 
0.8%
Other values (361) 784
50.5%
2023-12-12T12:53:18.863322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1530
18.7%
주 543
 
6.6%
제 498
 
6.1%
도 330
 
4.0%
자 326
 
4.0%
시 322
 
3.9%
특 321
 
3.9%
별 321
 
3.9%
치 321
 
3.9%
1 239
 
2.9%
Other values (202) 3439
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5311
64.8%
Space Separator 1530
 
18.7%
Decimal Number 1188
 
14.5%
Dash Punctuation 110
 
1.3%
Other Punctuation 20
 
0.2%
Open Punctuation 15
 
0.2%
Close Punctuation 15
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 543
 
10.2%
제 498
 
9.4%
도 330
 
6.2%
자 326
 
6.1%
시 322
 
6.1%
특 321
 
6.0%
별 321
 
6.0%
치 321
 
6.0%
서 191
 
3.6%
로 182
 
3.4%
Other values (186) 1956
36.8%
Decimal Number
ValueCountFrequency (%)
1 239
20.1%
2 197
16.6%
3 122
10.3%
4 105
8.8%
0 105
8.8%
7 100
8.4%
6 92
 
7.7%
8 89
 
7.5%
9 72
 
6.1%
5 67
 
5.6%
Space Separator
ValueCountFrequency (%)
1530
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5311
64.8%
Common 2878
35.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 543
 
10.2%
제 498
 
9.4%
도 330
 
6.2%
자 326
 
6.1%
시 322
 
6.1%
특 321
 
6.0%
별 321
 
6.0%
치 321
 
6.0%
서 191
 
3.6%
로 182
 
3.4%
Other values (186) 1956
36.8%
Common
ValueCountFrequency (%)
1530
53.2%
1 239
 
8.3%
2 197
 
6.8%
3 122
 
4.2%
- 110
 
3.8%
4 105
 
3.6%
0 105
 
3.6%
7 100
 
3.5%
6 92
 
3.2%
8 89
 
3.1%
Other values (5) 189
 
6.6%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5311
64.8%
ASCII 2879
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1530
53.1%
1 239
 
8.3%
2 197
 
6.8%
3 122
 
4.2%
- 110
 
3.8%
4 105
 
3.6%
0 105
 
3.6%
7 100
 
3.5%
6 92
 
3.2%
8 89
 
3.1%
Other values (6) 190
 
6.6%
Hangul
ValueCountFrequency (%)
주 543
 
10.2%
제 498
 
9.4%
도 330
 
6.2%
자 326
 
6.1%
시 322
 
6.1%
특 321
 
6.0%
별 321
 
6.0%
치 321
 
6.0%
서 191
 
3.6%
로 182
 
3.4%
Other values (186) 1956
36.8%

충전기타입
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
DC콤보
179 
DC차데모+AC3상+DC콤보
138 

Length

Max length15
Median length4
Mean length8.7886435
Min length4

Unique

Unique0 ?
Unique (%)0.0%

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 179
56.5%
DC차데모+AC3상+DC콤보 138
43.5%

Length

2023-12-12T12:53:19.007902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:19.124232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 179
56.5%
dc차데모+ac3상+dc콤보 138
43.5%

충전용량
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
급속(200kW동시)
109 
급속(100kW멀티)
66 
급속(50kW)
65 
급속(100kW단독)
54 
급속(400kW동시)
12 

Length

Max length11
Median length11
Mean length10.384858
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(200kW동시) 109
34.4%
급속(100kW멀티) 66
20.8%
급속(50kW) 65
20.5%
급속(100kW단독) 54
17.0%
급속(400kW동시) 12
 
3.8%
급속(100kW동시) 11
 
3.5%

Length

2023-12-12T12:53:19.261915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:19.401040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급속(200kw동시 109
34.4%
급속(100kw멀티 66
20.8%
급속(50kw 65
20.5%
급속(100kw단독 54
17.0%
급속(400kw동시 12
 
3.8%
급속(100kw동시 11
 
3.5%

충전방식
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
단독
199 
동시
118 

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 199
62.8%
동시 118
37.2%

Length

2023-12-12T12:53:19.542493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:53:19.648976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독 199
62.8%
동시 118
37.2%

2023년 01월 충전횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct168
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.343849
Minimum0
Maximum419
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:19.764370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q137
median75
Q3130
95-th percentile223
Maximum419
Range419
Interquartile range (IQR)93

Descriptive statistics

Standard deviation71.934075
Coefficient of variation (CV)0.78750869
Kurtosis2.0589542
Mean91.343849
Median Absolute Deviation (MAD)43
Skewness1.2959829
Sum28956
Variance5174.5111
MonotonicityNot monotonic
2023-12-12T12:53:19.903724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 7
 
2.2%
0 7
 
2.2%
40 6
 
1.9%
31 6
 
1.9%
76 5
 
1.6%
26 5
 
1.6%
86 4
 
1.3%
164 4
 
1.3%
41 4
 
1.3%
35 4
 
1.3%
Other values (158) 265
83.6%
ValueCountFrequency (%)
0 7
2.2%
1 1
 
0.3%
2 3
0.9%
3 1
 
0.3%
4 3
0.9%
7 2
 
0.6%
9 1
 
0.3%
10 2
 
0.6%
12 1
 
0.3%
13 2
 
0.6%
ValueCountFrequency (%)
419 1
0.3%
362 1
0.3%
334 1
0.3%
326 1
0.3%
316 1
0.3%
298 1
0.3%
286 1
0.3%
282 2
0.6%
281 1
0.3%
252 1
0.3%

2023년 01월 충전량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1701.1045
Minimum0
Maximum7093.96
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:20.053723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile115.55
Q1738.66
median1372.93
Q32384.77
95-th percentile4206.968
Maximum7093.96
Range7093.96
Interquartile range (IQR)1646.11

Descriptive statistics

Standard deviation1307.7143
Coefficient of variation (CV)0.76874427
Kurtosis1.5665535
Mean1701.1045
Median Absolute Deviation (MAD)763.84
Skewness1.2060595
Sum539250.13
Variance1710116.8
MonotonicityNot monotonic
2023-12-12T12:53:20.206638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
2.2%
1698.73 1
 
0.3%
2821.6 1
 
0.3%
1961.77 1
 
0.3%
2384.77 1
 
0.3%
1374.21 1
 
0.3%
2944.16 1
 
0.3%
3048.3 1
 
0.3%
2003.45 1
 
0.3%
776.15 1
 
0.3%
Other values (301) 301
95.0%
ValueCountFrequency (%)
0.0 7
2.2%
1.36 1
 
0.3%
6.3 1
 
0.3%
22.93 1
 
0.3%
43.75 1
 
0.3%
45.69 1
 
0.3%
53.03 1
 
0.3%
70.82 1
 
0.3%
80.33 1
 
0.3%
86.47 1
 
0.3%
ValueCountFrequency (%)
7093.96 1
0.3%
6467.72 1
0.3%
6305.64 1
0.3%
5997.3 1
0.3%
5594.26 1
0.3%
5211.32 1
0.3%
5208.87 1
0.3%
5048.43 1
0.3%
5028.54 1
0.3%
4954.72 1
0.3%

2023년 02월 충전횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct166
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.211356
Minimum0
Maximum346
Zeros10
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:20.387840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q134
median74
Q3128
95-th percentile226.2
Maximum346
Range346
Interquartile range (IQR)94

Descriptive statistics

Standard deviation67.931482
Coefficient of variation (CV)0.77009905
Kurtosis0.94979216
Mean88.211356
Median Absolute Deviation (MAD)43
Skewness1.0725376
Sum27963
Variance4614.6862
MonotonicityNot monotonic
2023-12-12T12:53:20.553094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
3.2%
80 5
 
1.6%
60 5
 
1.6%
95 5
 
1.6%
31 5
 
1.6%
32 4
 
1.3%
116 4
 
1.3%
33 4
 
1.3%
16 4
 
1.3%
21 4
 
1.3%
Other values (156) 267
84.2%
ValueCountFrequency (%)
0 10
3.2%
1 1
 
0.3%
2 1
 
0.3%
3 1
 
0.3%
5 2
 
0.6%
6 1
 
0.3%
8 4
 
1.3%
9 1
 
0.3%
12 1
 
0.3%
13 2
 
0.6%
ValueCountFrequency (%)
346 1
0.3%
318 1
0.3%
305 1
0.3%
291 1
0.3%
284 1
0.3%
271 1
0.3%
264 1
0.3%
262 1
0.3%
252 1
0.3%
248 1
0.3%

2023년 02월 충전량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct308
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1665.4174
Minimum0
Maximum6098.23
Zeros10
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:20.832972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109.506
Q1703.37
median1420.08
Q32326.74
95-th percentile4003.112
Maximum6098.23
Range6098.23
Interquartile range (IQR)1623.37

Descriptive statistics

Standard deviation1241.1474
Coefficient of variation (CV)0.74524705
Kurtosis0.72500389
Mean1665.4174
Median Absolute Deviation (MAD)800.32
Skewness0.99387486
Sum527937.32
Variance1540446.9
MonotonicityNot monotonic
2023-12-12T12:53:21.028822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
3.2%
1454.87 1
 
0.3%
1116.47 1
 
0.3%
380.04 1
 
0.3%
888.49 1
 
0.3%
1214.23 1
 
0.3%
2478.04 1
 
0.3%
1111.09 1
 
0.3%
3112.47 1
 
0.3%
2626.34 1
 
0.3%
Other values (298) 298
94.0%
ValueCountFrequency (%)
0.0 10
3.2%
2.53 1
 
0.3%
21.53 1
 
0.3%
29.54 1
 
0.3%
51.0 1
 
0.3%
98.33 1
 
0.3%
109.21 1
 
0.3%
109.58 1
 
0.3%
125.84 1
 
0.3%
128.65 1
 
0.3%
ValueCountFrequency (%)
6098.23 1
0.3%
5635.35 1
0.3%
5513.56 1
0.3%
5327.6 1
0.3%
5321.78 1
0.3%
5103.9 1
0.3%
4957.44 1
0.3%
4769.62 1
0.3%
4763.72 1
0.3%
4575.36 1
0.3%

2023년 03월 충전횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct151
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.643533
Minimum0
Maximum311
Zeros12
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:21.208700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q133
median67
Q3111
95-th percentile215
Maximum311
Range311
Interquartile range (IQR)78

Descriptive statistics

Standard deviation61.25142
Coefficient of variation (CV)0.7690696
Kurtosis0.97495745
Mean79.643533
Median Absolute Deviation (MAD)39
Skewness1.0926403
Sum25247
Variance3751.7365
MonotonicityNot monotonic
2023-12-12T12:53:21.423685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
3.8%
22 6
 
1.9%
20 6
 
1.9%
43 5
 
1.6%
58 5
 
1.6%
37 5
 
1.6%
41 5
 
1.6%
46 5
 
1.6%
75 5
 
1.6%
16 4
 
1.3%
Other values (141) 259
81.7%
ValueCountFrequency (%)
0 12
3.8%
2 2
 
0.6%
6 1
 
0.3%
7 2
 
0.6%
8 2
 
0.6%
9 2
 
0.6%
11 4
 
1.3%
12 2
 
0.6%
13 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
311 1
0.3%
305 1
0.3%
264 1
0.3%
241 1
0.3%
240 1
0.3%
233 1
0.3%
231 1
0.3%
230 1
0.3%
227 2
0.6%
223 1
0.3%

2023년 03월 충전량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct306
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1539.3014
Minimum0
Maximum5921.04
Zeros12
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T12:53:21.597253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile117.11
Q1658.77
median1254.45
Q32204.42
95-th percentile4106.67
Maximum5921.04
Range5921.04
Interquartile range (IQR)1545.65

Descriptive statistics

Standard deviation1164.2641
Coefficient of variation (CV)0.75635878
Kurtosis0.88740055
Mean1539.3014
Median Absolute Deviation (MAD)682.16
Skewness1.0793752
Sum487958.53
Variance1355510.9
MonotonicityNot monotonic
2023-12-12T12:53:21.769286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
3.8%
1187.19 1
 
0.3%
2413.62 1
 
0.3%
520.59 1
 
0.3%
174.32 1
 
0.3%
896.41 1
 
0.3%
387.86 1
 
0.3%
2246.71 1
 
0.3%
1352.22 1
 
0.3%
4359.17 1
 
0.3%
Other values (296) 296
93.4%
ValueCountFrequency (%)
0.0 12
3.8%
15.37 1
 
0.3%
41.74 1
 
0.3%
83.77 1
 
0.3%
99.79 1
 
0.3%
121.44 1
 
0.3%
142.92 1
 
0.3%
162.58 1
 
0.3%
171.12 1
 
0.3%
174.32 1
 
0.3%
ValueCountFrequency (%)
5921.04 1
0.3%
5346.24 1
0.3%
4877.68 1
0.3%
4751.6 1
0.3%
4717.53 1
0.3%
4536.79 1
0.3%
4456.05 1
0.3%
4456.02 1
0.3%
4449.23 1
0.3%
4428.37 1
0.3%

Interactions

2023-12-12T12:53:14.136405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.325465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.228282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.230688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.153963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.117992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.214257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.273058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.420631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.338772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.355258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.274869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.264096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.333143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.376384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.548373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.500244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.469590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.410453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.402383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.459105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.489042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.681488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.654737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.604344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.563306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.623759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.579626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.600446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.821853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.803922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.744443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.696164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.789355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.702821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.757925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:08.934624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.942795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.887355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.815883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:12.936480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.852913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:14.886480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:09.062852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:10.080211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.028168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:11.946914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.099111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:53:13.987519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:53:21.901248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구충전기ID대분류소분류충전기타입충전용량충전방식2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량
시군구1.0000.2300.2220.4730.0000.1630.0410.2180.1930.1680.0000.1430.000
충전기ID0.2301.0000.3760.5560.8780.9030.9950.0830.0000.1640.0000.0000.000
대분류0.2220.3761.0001.0000.1510.4240.1900.1980.2400.1740.1650.1420.152
소분류0.4730.5561.0001.0000.2930.6280.4090.4380.4830.2420.2590.0000.550
충전기타입0.0000.8780.1510.2931.0000.9980.8670.5100.2960.5210.3430.4920.334
충전용량0.1630.9030.4240.6280.9981.0000.9960.3130.1600.2970.1600.2650.092
충전방식0.0410.9950.1900.4090.8670.9961.0000.3240.1880.3470.1480.2920.126
2023년 01월 충전횟수0.2180.0830.1980.4380.5100.3130.3241.0000.9440.9420.8560.9310.822
2023년 01월 충전량0.1930.0000.2400.4830.2960.1600.1880.9441.0000.8820.9010.8810.872
2023년 02월 충전횟수0.1680.1640.1740.2420.5210.2970.3470.9420.8821.0000.9310.9190.860
2023년 02월 충전량0.0000.0000.1650.2590.3430.1600.1480.8560.9010.9311.0000.8830.906
2023년 03월 충전횟수0.1430.0000.1420.0000.4920.2650.2920.9310.8810.9190.8831.0000.927
2023년 03월 충전량0.0000.0000.1520.5500.3340.0920.1260.8220.8720.8600.9060.9271.000
2023-12-12T12:53:22.131530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기타입대분류시군구충전방식소분류충전용량
충전기타입1.0000.1490.0000.6680.2370.953
대분류0.1491.0000.2190.1880.9640.225
시군구0.0000.2191.0000.0260.3850.116
충전방식0.6680.1880.0261.0000.3320.939
소분류0.2370.9640.3850.3321.0000.320
충전용량0.9530.2250.1160.9390.3201.000
2023-12-12T12:53:22.284278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량시군구대분류소분류충전기타입충전용량충전방식
충전기ID1.000-0.281-0.175-0.275-0.180-0.283-0.1980.1640.1960.2700.6850.5590.934
2023년 01월 충전횟수-0.2811.0000.9680.9060.8670.8390.7930.1650.0910.1630.3880.1690.245
2023년 01월 충전량-0.1750.9681.0000.8780.8880.8030.8040.1460.1110.1840.2240.0830.142
2023년 02월 충전횟수-0.2750.9060.8781.0000.9660.8850.8460.1270.0790.0820.3970.1600.263
2023년 02월 충전량-0.1800.8670.8880.9661.0000.8510.8670.0000.0750.0890.2590.0830.112
2023년 03월 충전횟수-0.2830.8390.8030.8850.8511.0000.9650.1080.0640.0000.3740.1410.221
2023년 03월 충전량-0.1980.7930.8040.8460.8670.9651.0000.0000.0690.2180.2530.0470.095
시군구0.1640.1650.1460.1270.0000.1080.0001.0000.2190.3850.0000.1160.026
대분류0.1960.0910.1110.0790.0750.0640.0690.2191.0000.9640.1490.2250.188
소분류0.2700.1630.1840.0820.0890.0000.2180.3850.9641.0000.2370.3200.332
충전기타입0.6850.3880.2240.3970.2590.3740.2530.0000.1490.2371.0000.9530.668
충전용량0.5590.1690.0830.1600.0830.1410.0470.1160.2250.3200.9531.0000.939
충전방식0.9340.2450.1420.2630.1120.2210.0950.0260.1880.3320.6680.9391.000

Missing values

2023-12-12T12:53:15.067765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:53:15.742736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

지역시군구충전소명충전기ID대분류소분류주소충전기타입충전용량충전방식2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량
0제주특별자치도서귀포시남원읍 공영주차장1주차시설공영주차장제주특별자치도 서귀포시 남원읍 남원리 84-2DC차데모+AC3상+DC콤보급속(50kW)단독1241698.73981454.87851187.19
1제주특별자치도서귀포시위미의례회관1공공시설지자체시설제주특별자치도 서귀포시 남원읍 중산간동로 6862DC차데모+AC3상+DC콤보급속(50kW)단독811177.3227440.4649706.54
2제주특별자치도서귀포시대정감협 인근 공영주차장1주차시설공영주차장제주특별자치도 서귀포시 대정읍 하모리 964-2 주차장 좌측DC차데모+AC3상+DC콤보급속(50kW)단독90896.3783924.37103990.34
3제주특별자치도서귀포시퐁낭 작은 도서관 앞 주차장1주차시설공영주차장제주특별자치도 서귀포시 동홍동 470-1DC차데모+AC3상+DC콤보급속(50kW)단독2003456.011802876.961512669.0
4제주특별자치도서귀포시월드컵경기장 인근 공영주차장1주차시설공영주차장제주특별자치도 서귀포시 법환동 870DC차데모+AC3상+DC콤보급속(50kW)단독63950.0353870.1847772.0
5제주특별자치도서귀포시중문 관광단지1관광시설관광지제주특별자치도 서귀포시 색달동 2889-1 중문색달해변 북측 증설주차장DC차데모+AC3상+DC콤보급속(50kW)단독00.000.000.0
6제주특별자치도서귀포시중문 관광단지2관광시설관광지제주특별자치도 서귀포시 색달동 2889-1 중문색달해변 북측 증설주차장DC차데모+AC3상+DC콤보급속(50kW)단독00.000.000.0
7제주특별자치도서귀포시중문 관광단지3관광시설관광지제주특별자치도 서귀포시 색달동 2889-1 중문색달해변 북측 증설주차장DC차데모+AC3상+DC콤보급속(50kW)단독00.000.000.0
8제주특별자치도서귀포시중문 관광단지4관광시설관광지제주특별자치도 서귀포시 색달동 2889-1 중문색달해변 북측 증설주차장DC차데모+AC3상+DC콤보급속(50kW)단독00.000.000.0
9제주특별자치도서귀포시중문 관광단지5관광시설관광지제주특별자치도 서귀포시 색달동 2889-1 중문색달해변 북측 증설주차장DC차데모+AC3상+DC콤보급속(50kW)단독69950.3500.02313175.16
지역시군구충전소명충전기ID대분류소분류주소충전기타입충전용량충전방식2023년 01월 충전횟수2023년 01월 충전량2023년 02월 충전횟수2023년 02월 충전량2023년 03월 충전횟수2023년 03월 충전량
307제주특별자치도제주시추자면사무소1공공시설주민센터제주특별자치도 제주시 추자면 추자로 26DC차데모+AC3상+DC콤보급속(100kW멀티)단독245.69121.53241.74
308제주특별자치도제주시자치경찰단1근린생활시설경찰서제주특별자치도 제주시 기자길 7DC차데모+AC3상+DC콤보급속(100kW멀티)단독901394.9801402.5936568.22
309제주특별자치도제주시환경성질환예방관리센터1근린생활시설보건소제주특별자치도 제주시 구좌읍 다랑쉬북로 68-92DC차데모+AC3상+DC콤보급속(100kW멀티)단독35587.73641055.64741299.42
310제주특별자치도제주시애월도서관1근린생활시설도서관제주특별자치도 제주시 애월읍 일주서로 6339DC차데모+AC3상+DC콤보급속(100kW멀티)단독1222528.641092225.181142434.79
311제주특별자치도제주시제주현대미술관1관광시설전시관제주특별자치도 제주시 한경면 저지리 2114-82DC차데모+AC3상+DC콤보급속(100kW멀티)단독1032032.54791718.73691387.31
312제주특별자치도제주시신천지아파트1공동주택시설아파트제주특별자치도 제주시 천수로 72DC차데모+AC3상+DC콤보급속(100kW멀티)단독1011790.711041865.55921446.66
313제주특별자치도서귀포시서귀포천지연폭포1관광시설관광지제주특별자치도 서귀포시 남성중로 2-15 제주특별자치도 서귀포시 남성중로 2-15, 천지연폭포 매표소 앞DC차데모+AC3상+DC콤보급속(50kW)단독00.02073702.081352384.18
314제주특별자치도제주시도남1차e편한세상아파트1공동주택시설아파트제주특별자치도 제주시 오남로 7-13 제주특별자치도 제주시 오남로 7-13 도남1차e편한세상아파트DC차데모+AC3상+DC콤보급속(50kW)단독00.000.000.0
315제주특별자치도제주시만장굴1관광시설관광지제주특별자치도 제주시 구좌읍 만장굴길 182 제주특별자치도 제주시 구좌읍 만장굴길 182 만장굴DC차데모+AC3상+DC콤보급속(100kW단독)단독46.39125.8422588.63
316제주특별자치도제주시제주종합경기장21공공시설지자체시설제주특별자치도 제주시 서광로2길 24 제주특별자치도 제주시 서광로2길 24, 애향운동장 앞 주차장DC차데모+AC3상+DC콤보급속(100kW멀티)단독00.000.01082770.34