Overview

Dataset statistics

Number of variables16
Number of observations1234
Missing cells72
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.0 KiB
Average record size in memory131.1 B

Variable types

Categorical12
Numeric2
DateTime2

Dataset

Description도청, 제주시청, 서귀포 시청 등 17개 지역에서 현장 실측한 전기차 대기 현황 데이터를 월별로 취합한 데이터 입니다. 전기차가 얼마나 대기하고 충전 했는지, 충전이 완료되고 충전소를 떠나기까지 걸린 시간은 얼마나 되는지 확인할 수 있습니다. 충전 및 대기 횟수는 합계, 충전 및 대기 시간은 평균으로 계산 되었습니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15109771/fileData.do

Alerts

충전소 이름 is highly overall correlated with 운영기관 and 2 other fieldsHigh correlation
충전소 아이디 is highly overall correlated with 운영기관 and 2 other fieldsHigh correlation
충전소 주소 is highly overall correlated with 운영기관 and 2 other fieldsHigh correlation
운영기관 is highly overall correlated with 충전소 아이디 and 2 other fieldsHigh correlation
이용 차량 대분류 is highly overall correlated with 이용자 유형High correlation
이용자 유형 is highly overall correlated with 이용 차량 대분류High correlation
대기 유형 is highly overall correlated with 대기 횟수 and 1 other fieldsHigh correlation
대기 횟수 is highly overall correlated with 대기 유형 and 1 other fieldsHigh correlation
대기 시간 is highly overall correlated with 대기 유형 and 1 other fieldsHigh correlation
운영기관 is highly imbalanced (53.2%)Imbalance
이용자 유형 is highly imbalanced (57.8%)Imbalance
대기 횟수 is highly imbalanced (65.1%)Imbalance
대기 시간 is highly imbalanced (76.8%)Imbalance
이용자 연령대 has 72 (5.8%) missing valuesMissing
충전 횟수 has 284 (23.0%) zerosZeros

Reproduction

Analysis started2023-12-12 10:48:07.377789
Analysis finished2023-12-12 10:48:10.173088
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
제주특별자치도
943 
한국전력공사
196 
환경부
 
70
한국전기차충전서비스
 
13
SK
 
12

Length

Max length10
Median length7
Mean length6.5972447
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 943
76.4%
한국전력공사 196
 
15.9%
환경부 70
 
5.7%
한국전기차충전서비스 13
 
1.1%
SK 12
 
1.0%

Length

2023-12-12T19:48:10.278090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:10.446230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 943
76.4%
한국전력공사 196
 
15.9%
환경부 70
 
5.7%
한국전기차충전서비스 13
 
1.1%
sk 12
 
1.0%

조사 연월
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2022-07
340 
2022-10
308 
2022-08
307 
2022-09
279 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07
2nd row2022-07
3rd row2022-07
4th row2022-07
5th row2022-07

Common Values

ValueCountFrequency (%)
2022-07 340
27.6%
2022-10 308
25.0%
2022-08 307
24.9%
2022-09 279
22.6%

Length

2023-12-12T19:48:10.608664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:10.783804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07 340
27.6%
2022-10 308
25.0%
2022-08 307
24.9%
2022-09 279
22.6%

충전소 아이디
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
JD000003
223 
JD000001
208 
JD000049
196 
JD110035
119 
JD000004
103 
Other values (12)
385 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJD000004
2nd rowJD000004
3rd rowJD000004
4th rowJD000004
5th rowJD000004

Common Values

ValueCountFrequency (%)
JD000003 223
18.1%
JD000001 208
16.9%
JD000049 196
15.9%
JD110035 119
9.6%
JD000004 103
8.3%
JD100001 88
 
7.1%
JD000009 66
 
5.3%
JD000002 55
 
4.5%
ME174057 45
 
3.6%
JD160053 35
 
2.8%
Other values (7) 96
7.8%

Length

2023-12-12T19:48:10.945272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jd000003 223
18.1%
jd000001 208
16.9%
jd000049 196
15.9%
jd110035 119
9.6%
jd000004 103
8.3%
jd100001 88
 
7.1%
jd000009 66
 
5.3%
jd000002 55
 
4.5%
me174057 45
 
3.6%
jd160053 35
 
2.8%
Other values (7) 96
7.8%

충전소 이름
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
제주시청
223 
제주특별자치도청
208 
종합경기장
196 
시민복지타운 공영주차장
119 
서귀포시청
103 
Other values (12)
385 

Length

Max length12
Median length9
Mean length7.3168558
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시청 223
18.1%
제주특별자치도청 208
16.9%
종합경기장 196
15.9%
시민복지타운 공영주차장 119
9.6%
서귀포시청 103
8.3%
근로자종합복지관 주차장 88
 
7.1%
아라동사무소 66
 
5.3%
제주특별자치도의회 55
 
4.5%
성산일출봉 공영주차장 45
 
3.6%
제주국제컨벤션센터 35
 
2.8%
Other values (7) 96
7.8%

Length

2023-12-12T19:48:11.142957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시청 223
14.7%
제주특별자치도청 208
13.8%
종합경기장 196
13.0%
공영주차장 164
10.8%
시민복지타운 119
7.9%
서귀포시청 103
6.8%
근로자종합복지관 88
 
5.8%
주차장 88
 
5.8%
아라동사무소 66
 
4.4%
제주특별자치도의회 55
 
3.6%
Other values (10) 202
13.4%

충전소 주소
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
제주시 광양9길 10제주시청(이도이동 1176-1)
223 
제주시 문연로 6청(연동 312-1)
208 
제주시 서광로2길 24
196 
제주시 시민복지타운 공영주차장
119 
서귀포시 중앙로 105서귀포시청(서홍동 440-1)
103 
Other values (12)
385 

Length

Max length33
Median length30
Mean length19.846029
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서귀포시 중앙로 105서귀포시청(서홍동 440-1)
2nd row서귀포시 중앙로 105서귀포시청(서홍동 440-1)
3rd row서귀포시 중앙로 105서귀포시청(서홍동 440-1)
4th row서귀포시 중앙로 105서귀포시청(서홍동 440-1)
5th row서귀포시 중앙로 105서귀포시청(서홍동 440-1)

Common Values

ValueCountFrequency (%)
제주시 광양9길 10제주시청(이도이동 1176-1) 223
18.1%
제주시 문연로 6청(연동 312-1) 208
16.9%
제주시 서광로2길 24 196
15.9%
제주시 시민복지타운 공영주차장 119
9.6%
서귀포시 중앙로 105서귀포시청(서홍동 440-1) 103
8.3%
제주시 수목원길 9 88
 
7.1%
제주시 중앙로 527아라동사무소(아라일동 6103-6) 66
 
5.3%
제주시 문연로 13의회(연동 311-45) 55
 
4.5%
서귀포시 성산읍 일출로 284-6 45
 
3.6%
서귀포시 중문관광로 224 35
 
2.8%
Other values (7) 96
7.8%

Length

2023-12-12T19:48:11.348321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시 1035
23.4%
문연로 263
 
5.9%
광양9길 223
 
5.0%
10제주시청(이도이동 223
 
5.0%
1176-1 223
 
5.0%
6청(연동 208
 
4.7%
312-1 208
 
4.7%
서귀포시 199
 
4.5%
24 196
 
4.4%
서광로2길 196
 
4.4%
Other values (34) 1453
32.8%

이용 차량 대분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
일반
848 
렌터카
234 
영업용
151 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.3136143
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row렌터카
2nd row렌터카
3rd row렌터카
4th row렌터카
5th row영업용

Common Values

ValueCountFrequency (%)
일반 848
68.7%
렌터카 234
 
19.0%
영업용 151
 
12.2%
<NA> 1
 
0.1%

Length

2023-12-12T19:48:11.561923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:11.723501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 848
68.7%
렌터카 234
 
19.0%
영업용 151
 
12.2%
na 1
 
0.1%

이용자 유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
도민
1039 
관광객
187 
<NA>
 
8

Length

Max length4
Median length2
Mean length2.1645057
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광객
2nd row관광객
3rd row관광객
4th row관광객
5th row도민

Common Values

ValueCountFrequency (%)
도민 1039
84.2%
관광객 187
 
15.2%
<NA> 8
 
0.6%

Length

2023-12-12T19:48:11.928468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:12.085269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도민 1039
84.2%
관광객 187
 
15.2%
na 8
 
0.6%

이용자 연령대
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.5%
Missing72
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean41.712565
Minimum20
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2023-12-12T19:48:12.222457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median40
Q350
95-th percentile60
Maximum70
Range50
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.153625
Coefficient of variation (CV)0.29136604
Kurtosis-0.57234677
Mean41.712565
Median Absolute Deviation (MAD)10
Skewness0.19421234
Sum48470
Variance147.71059
MonotonicityNot monotonic
2023-12-12T19:48:12.404069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 345
28.0%
30 284
23.0%
50 274
22.2%
60 143
11.6%
20 85
 
6.9%
70 31
 
2.5%
(Missing) 72
 
5.8%
ValueCountFrequency (%)
20 85
 
6.9%
30 284
23.0%
40 345
28.0%
50 274
22.2%
60 143
11.6%
70 31
 
2.5%
ValueCountFrequency (%)
70 31
 
2.5%
60 143
11.6%
50 274
22.2%
40 345
28.0%
30 284
23.0%
20 85
 
6.9%

이용 성별
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
남자
796 
여자
375 
<NA>
 
63

Length

Max length4
Median length2
Mean length2.102107
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남자
2nd row여자
3rd row여자
4th row여자
5th row남자

Common Values

ValueCountFrequency (%)
남자 796
64.5%
여자 375
30.4%
<NA> 63
 
5.1%

Length

2023-12-12T19:48:12.634672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:12.811011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 796
64.5%
여자 375
30.4%
na 63
 
5.1%

대기 유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
대기N충전Y
856 
<NA>
141 
대기Y충전N
135 
대기Y충전Y
94 
대기N충전N
 
8

Length

Max length6
Median length6
Mean length5.7714749
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기N충전Y 856
69.4%
<NA> 141
 
11.4%
대기Y충전N 135
 
10.9%
대기Y충전Y 94
 
7.6%
대기N충전N 8
 
0.6%

Length

2023-12-12T19:48:12.979618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:13.136082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기n충전y 856
69.4%
na 141
 
11.4%
대기y충전n 135
 
10.9%
대기y충전y 94
 
7.6%
대기n충전n 8
 
0.6%

충전기 타입
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
DC콤보
716 
AC급속3상
264 
DC차데모
223 
<NA>
 
14
전용 단자
 
13

Length

Max length6
Median length4
Mean length4.6191248
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowDC콤보
3rd rowAC급속3상
4th rowDC차데모
5th rowDC콤보

Common Values

ValueCountFrequency (%)
DC콤보 716
58.0%
AC급속3상 264
 
21.4%
DC차데모 223
 
18.1%
<NA> 14
 
1.1%
전용 단자 13
 
1.1%
AC완속 4
 
0.3%

Length

2023-12-12T19:48:13.328909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:13.497885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 716
57.4%
ac급속3상 264
 
21.2%
dc차데모 223
 
17.9%
na 14
 
1.1%
전용 13
 
1.0%
단자 13
 
1.0%
ac완속 4
 
0.3%

대기 횟수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
0
1005 
1
202 
2
 
20
3
 
6
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 1005
81.4%
1 202
 
16.4%
2 20
 
1.6%
3 6
 
0.5%
4 1
 
0.1%

Length

2023-12-12T19:48:13.664068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:13.800673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1005
81.4%
1 202
 
16.4%
2 20
 
1.6%
3 6
 
0.5%
4 1
 
0.1%

충전 횟수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7058347
Minimum0
Maximum18
Zeros284
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2023-12-12T19:48:13.946251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile6
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1610385
Coefficient of variation (CV)1.2668511
Kurtosis13.256548
Mean1.7058347
Median Absolute Deviation (MAD)1
Skewness3.091224
Sum2105
Variance4.6700876
MonotonicityNot monotonic
2023-12-12T19:48:14.134661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 532
43.1%
0 284
23.0%
2 179
 
14.5%
3 87
 
7.1%
4 54
 
4.4%
5 31
 
2.5%
6 21
 
1.7%
8 13
 
1.1%
9 8
 
0.6%
7 7
 
0.6%
Other values (7) 18
 
1.5%
ValueCountFrequency (%)
0 284
23.0%
1 532
43.1%
2 179
 
14.5%
3 87
 
7.1%
4 54
 
4.4%
5 31
 
2.5%
6 21
 
1.7%
7 7
 
0.6%
8 13
 
1.1%
9 8
 
0.6%
ValueCountFrequency (%)
18 1
 
0.1%
17 1
 
0.1%
15 5
 
0.4%
13 1
 
0.1%
12 2
 
0.2%
11 5
 
0.4%
10 3
 
0.2%
9 8
0.6%
8 13
1.1%
7 7
0.6%

대기 시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
00:00:00
1057 
00:05:00
 
21
00:02:00
 
20
00:01:00
 
19
00:03:00
 
16
Other values (34)
 
101

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique16 ?
Unique (%)1.3%

Sample

1st row00:05:00
2nd row00:00:00
3rd row00:00:00
4th row00:11:00
5th row00:00:00

Common Values

ValueCountFrequency (%)
00:00:00 1057
85.7%
00:05:00 21
 
1.7%
00:02:00 20
 
1.6%
00:01:00 19
 
1.5%
00:03:00 16
 
1.3%
00:07:00 12
 
1.0%
00:04:00 11
 
0.9%
00:08:00 10
 
0.8%
00:11:00 7
 
0.6%
00:09:00 6
 
0.5%
Other values (29) 55
 
4.5%

Length

2023-12-12T19:48:14.302043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 1057
85.7%
00:05:00 21
 
1.7%
00:02:00 20
 
1.6%
00:01:00 19
 
1.5%
00:03:00 16
 
1.3%
00:07:00 12
 
1.0%
00:04:00 11
 
0.9%
00:08:00 10
 
0.8%
00:11:00 7
 
0.6%
00:10:00 6
 
0.5%
Other values (29) 55
 
4.5%

충전 시간
Date

Distinct199
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 09:04:00
2023-12-12T19:48:14.472629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:14.667645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회차 시간
Date

Distinct99
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 06:18:00
2023-12-12T19:48:14.874495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:15.026775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T19:48:09.350424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:09.073996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:09.493515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:09.202531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:48:15.157426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영기관조사 연월충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간회차 시간
운영기관1.0000.1330.8550.8550.8550.2950.2540.0930.0510.0880.1070.1980.0000.3160.000
조사 연월0.1331.0000.4880.4880.4880.0340.0770.0000.0200.1910.0450.0520.1430.1640.204
충전소 아이디0.8550.4881.0001.0001.0000.4740.4650.2080.1050.1620.2550.0620.0000.0000.000
충전소 이름0.8550.4881.0001.0001.0000.4740.4650.2080.1050.1620.2550.0620.0000.0000.000
충전소 주소0.8550.4881.0001.0001.0000.4740.4650.2080.1050.1620.2550.0620.0000.0000.000
이용 차량 대분류0.2950.0340.4740.4740.4741.0000.5850.5420.1450.0000.2880.0730.0880.1330.105
이용자 유형0.2540.0770.4650.4650.4650.5851.0000.2420.1090.0000.1880.0370.0710.0000.219
이용자 연령대0.0930.0000.2080.2080.2080.5420.2421.0000.2630.0000.0850.0000.0000.0000.000
이용 성별0.0510.0200.1050.1050.1050.1450.1090.2631.0000.0670.0870.0520.0580.0000.012
대기 유형0.0880.1910.1620.1620.1620.0000.0000.0000.0671.0000.0220.6570.3070.7850.000
충전기 타입0.1070.0450.2550.2550.2550.2880.1880.0850.0870.0221.0000.0000.0000.0000.000
대기 횟수0.1980.0520.0620.0620.0620.0730.0370.0000.0520.6570.0001.0000.3650.9220.319
충전 횟수0.0000.1430.0000.0000.0000.0880.0710.0000.0580.3070.0000.3651.0000.0000.943
대기 시간0.3160.1640.0000.0000.0000.1330.0000.0000.0000.7850.0000.9220.0001.0000.000
회차 시간0.0000.2040.0000.0000.0000.1050.2190.0000.0120.0000.0000.3190.9430.0001.000
2023-12-12T19:48:15.371063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대기 시간이용자 유형충전소 이름충전소 아이디운영기관이용 성별대기 횟수대기 유형충전기 타입충전소 주소이용 차량 대분류조사 연월
대기 시간1.0000.0000.0000.0000.1500.0000.7130.5210.0000.0000.0600.083
이용자 유형0.0001.0000.4160.4160.3100.0690.0460.0000.2300.4160.8540.051
충전소 이름0.0000.4161.0001.0000.6540.0930.0310.0900.1331.0000.2900.290
충전소 아이디0.0000.4161.0001.0000.6540.0930.0310.0900.1331.0000.2900.290
운영기관0.1500.3100.6540.6541.0000.0620.0750.0720.0400.6540.2330.109
이용 성별0.0000.0690.0930.0930.0621.0000.0640.0440.1060.0930.2390.013
대기 횟수0.7130.0460.0310.0310.0750.0641.0000.5880.0000.0310.0540.042
대기 유형0.5210.0000.0900.0900.0720.0440.5881.0000.0180.0900.0000.076
충전기 타입0.0000.2300.1330.1330.0400.1060.0000.0181.0000.1330.2260.036
충전소 주소0.0000.4161.0001.0000.6540.0930.0310.0900.1331.0000.2900.290
이용 차량 대분류0.0600.8540.2900.2900.2330.2390.0540.0000.2260.2901.0000.032
조사 연월0.0830.0510.2900.2900.1090.0130.0420.0760.0360.2900.0321.000
2023-12-12T19:48:15.867605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자 연령대충전 횟수운영기관조사 연월충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용 성별대기 유형충전기 타입대기 횟수대기 시간
이용자 연령대1.000-0.0150.0630.0000.0990.0990.0990.2640.1740.1890.0000.0570.0000.000
충전 횟수-0.0151.0000.0000.0850.0000.0000.0000.0570.0600.0460.1870.0000.1590.000
운영기관0.0630.0001.0000.1090.6540.6540.6540.2330.3100.0620.0720.0400.0750.150
조사 연월0.0000.0850.1091.0000.2900.2900.2900.0320.0510.0130.0760.0360.0420.083
충전소 아이디0.0990.0000.6540.2901.0001.0001.0000.2900.4160.0930.0900.1330.0310.000
충전소 이름0.0990.0000.6540.2901.0001.0001.0000.2900.4160.0930.0900.1330.0310.000
충전소 주소0.0990.0000.6540.2901.0001.0001.0000.2900.4160.0930.0900.1330.0310.000
이용 차량 대분류0.2640.0570.2330.0320.2900.2900.2901.0000.8540.2390.0000.2260.0540.060
이용자 유형0.1740.0600.3100.0510.4160.4160.4160.8541.0000.0690.0000.2300.0460.000
이용 성별0.1890.0460.0620.0130.0930.0930.0930.2390.0691.0000.0440.1060.0640.000
대기 유형0.0000.1870.0720.0760.0900.0900.0900.0000.0000.0441.0000.0180.5880.521
충전기 타입0.0570.0000.0400.0360.1330.1330.1330.2260.2300.1060.0181.0000.0000.000
대기 횟수0.0000.1590.0750.0420.0310.0310.0310.0540.0460.0640.5880.0001.0000.713
대기 시간0.0000.0000.1500.0830.0000.0000.0000.0600.0000.0000.5210.0000.7131.000

Missing values

2023-12-12T19:48:09.712240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:48:10.042217image/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

운영기관조사 연월충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
0제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객<NA>남자대기Y충전N<NA>1000:05:0000:00:0000:00:00
1제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객30여자<NA>DC콤보0000:00:0000:40:0000:04:00
2제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객40여자대기N충전YAC급속3상0100:00:0000:42:0000:01:00
3제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객40여자대기Y충전YDC차데모1100:11:0000:21:0000:01:00
4제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)영업용도민30남자대기N충전YDC콤보0100:00:0000:40:0000:32:00
5제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민<NA><NA>대기N충전NDC차데모0000:00:0000:00:0000:00:00
6제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민<NA><NA>대기N충전NDC콤보0000:00:0000:00:0000:00:00
7제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민20남자대기N충전YAC급속3상0100:00:0000:45:0000:01:00
8제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민30남자대기N충전YDC차데모0100:00:0000:38:0000:01:00
9제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민30남자대기N충전YDC콤보0200:00:0001:13:0000:00:00
운영기관조사 연월충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
1224제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민<NA><NA>대기N충전YDC콤보0100:00:0000:40:0000:00:00
1225제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민20여자대기N충전YDC콤보0100:00:0000:24:0000:19:00
1226제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YAC급속3상0100:00:0000:38:0000:00:00
1227제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YDC콤보0100:00:0000:31:0000:00:00
1228제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)영업용도민60남자대기N충전YDC콤보0200:00:0001:26:0000:05:00
1229제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민40남자대기N충전YDC차데모0100:00:0000:34:0000:01:00
1230제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민50여자대기N충전YDC콤보0100:00:0000:13:0000:01:00
1231제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YAC급속3상0100:00:0000:00:0000:00:00
1232제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YDC콤보0100:00:0000:22:0000:02:00
1233제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60여자대기N충전YDC콤보0100:00:0000:12:0000:01:00