Overview

Dataset statistics

Number of variables17
Number of observations1617
Missing cells78
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.6 KiB
Average record size in memory139.1 B

Variable types

Categorical13
Numeric2
DateTime2

Dataset

Description도청, 제주시청, 서귀포 시청 등 17개 지역에서 현장 실측한 전기차 대기 현황 데이터를 요일별로 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/15109776/fileData.do

Alerts

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
충전소 이름 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 (54.7%)Imbalance
이용자 유형 is highly imbalanced (60.6%)Imbalance
대기 횟수 is highly imbalanced (66.2%)Imbalance
대기 시간 is highly imbalanced (80.9%)Imbalance
이용자 연령대 has 78 (4.8%) missing valuesMissing
충전 횟수 has 308 (19.0%) zerosZeros

Reproduction

Analysis started2023-12-12 08:23:42.394139
Analysis finished2023-12-12 08:23:45.108020
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
제주특별자치도
1233 
한국전력공사
284 
환경부
 
75
한국전기차충전서비스
 
13
SK
 
12

Length

Max length10
Median length7
Mean length6.6258503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 1233
76.3%
한국전력공사 284
 
17.6%
환경부 75
 
4.6%
한국전기차충전서비스 13
 
0.8%
SK 12
 
0.7%

Length

2023-12-12T17:23:45.184267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:45.335380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 1233
76.3%
한국전력공사 284
 
17.6%
환경부 75
 
4.6%
한국전기차충전서비스 13
 
0.8%
sk 12
 
0.7%

조사 연월
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2022-09
459 
2022-10
433 
2022-07
396 
2022-08
329 

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 (%)
2022-09 459
28.4%
2022-10 433
26.8%
2022-07 396
24.5%
2022-08 329
20.3%

Length

2023-12-12T17:23:45.482127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:45.598890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09 459
28.4%
2022-10 433
26.8%
2022-07 396
24.5%
2022-08 329
20.3%

조사 요일
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
477 
373 
305 
235 
227 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
477
29.5%
373
23.1%
305
18.9%
235
14.5%
227
14.0%

Length

2023-12-12T17:23:45.713723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:45.829254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
477
29.5%
373
23.1%
305
18.9%
235
14.5%
227
14.0%

충전소 아이디
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
JD000003
321 
JD000049
284 
JD000001
269 
JD110035
167 
JD000004
121 
Other values (12)
455 

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 321
19.9%
JD000049 284
17.6%
JD000001 269
16.6%
JD110035 167
10.3%
JD000004 121
 
7.5%
JD100001 111
 
6.9%
JD000009 83
 
5.1%
JD000002 58
 
3.6%
JD160053 53
 
3.3%
ME174057 46
 
2.8%
Other values (7) 104
 
6.4%

Length

2023-12-12T17:23:45.959154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jd000003 321
19.9%
jd000049 284
17.6%
jd000001 269
16.6%
jd110035 167
10.3%
jd000004 121
 
7.5%
jd100001 111
 
6.9%
jd000009 83
 
5.1%
jd000002 58
 
3.6%
jd160053 53
 
3.3%
me174057 46
 
2.8%
Other values (7) 104
 
6.4%

충전소 이름
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
제주시청
321 
종합경기장
284 
제주특별자치도청
269 
시민복지타운 공영주차장
167 
서귀포시청
121 
Other values (12)
455 

Length

Max length12
Median length9
Mean length7.2115028
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시청 321
19.9%
종합경기장 284
17.6%
제주특별자치도청 269
16.6%
시민복지타운 공영주차장 167
10.3%
서귀포시청 121
 
7.5%
근로자종합복지관 주차장 111
 
6.9%
아라동사무소 83
 
5.1%
제주특별자치도의회 58
 
3.6%
제주국제컨벤션센터 53
 
3.3%
성산일출봉 공영주차장 46
 
2.8%
Other values (7) 104
 
6.4%

Length

2023-12-12T17:23:46.103089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시청 321
16.3%
종합경기장 284
14.4%
제주특별자치도청 269
13.7%
공영주차장 213
10.8%
시민복지타운 167
8.5%
서귀포시청 121
 
6.1%
근로자종합복지관 111
 
5.6%
주차장 111
 
5.6%
아라동사무소 83
 
4.2%
제주특별자치도의회 58
 
2.9%
Other values (10) 232
11.8%

충전소 주소
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
제주시 광양9길 10제주시청(이도이동 1176-1)
321 
제주시 서광로2길 24
284 
제주시 문연로 6청(연동 312-1)
269 
제주시 시민복지타운 공영주차장
167 
서귀포시 중앙로 105서귀포시청(서홍동 440-1)
121 
Other values (12)
455 

Length

Max length33
Median length30
Mean length19.767471
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) 321
19.9%
제주시 서광로2길 24 284
17.6%
제주시 문연로 6청(연동 312-1) 269
16.6%
제주시 시민복지타운 공영주차장 167
10.3%
서귀포시 중앙로 105서귀포시청(서홍동 440-1) 121
 
7.5%
제주시 수목원길 9 111
 
6.9%
제주시 중앙로 527아라동사무소(아라일동 6103-6) 83
 
5.1%
제주시 문연로 13의회(연동 311-45) 58
 
3.6%
서귀포시 중문관광로 224 53
 
3.3%
서귀포시 성산읍 일출로 284-6 46
 
2.8%
Other values (7) 104
 
6.4%

Length

2023-12-12T17:23:46.267116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시 1381
23.9%
문연로 327
 
5.7%
10제주시청(이도이동 321
 
5.6%
1176-1 321
 
5.6%
광양9길 321
 
5.6%
서광로2길 284
 
4.9%
24 284
 
4.9%
6청(연동 269
 
4.7%
312-1 269
 
4.7%
서귀포시 236
 
4.1%
Other values (34) 1762
30.5%

이용 차량 대분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
일반
1135 
렌터카
278 
영업용
203 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.2987013
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반 1135
70.2%
렌터카 278
 
17.2%
영업용 203
 
12.6%
<NA> 1
 
0.1%

Length

2023-12-12T17:23:46.396308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:46.544634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 1135
70.2%
렌터카 278
 
17.2%
영업용 203
 
12.6%
na 1
 
0.1%

이용자 유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
도민
1385 
관광객
224 
<NA>
 
8

Length

Max length4
Median length2
Mean length2.148423
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도민 1385
85.7%
관광객 224
 
13.9%
<NA> 8
 
0.5%

Length

2023-12-12T17:23:46.720858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:46.863780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도민 1385
85.7%
관광객 224
 
13.9%
na 8
 
0.5%

이용자 연령대
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.4%
Missing78
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean41.624431
Minimum20
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-12T17:23:46.969853image/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 deviation11.6945
Coefficient of variation (CV)0.28095278
Kurtosis-0.53680845
Mean41.624431
Median Absolute Deviation (MAD)10
Skewness0.18983853
Sum64060
Variance136.76133
MonotonicityNot monotonic
2023-12-12T17:23:47.087955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 477
29.5%
30 382
23.6%
50 371
22.9%
60 181
 
11.2%
20 97
 
6.0%
70 31
 
1.9%
(Missing) 78
 
4.8%
ValueCountFrequency (%)
20 97
 
6.0%
30 382
23.6%
40 477
29.5%
50 371
22.9%
60 181
 
11.2%
70 31
 
1.9%
ValueCountFrequency (%)
70 31
 
1.9%
60 181
 
11.2%
50 371
22.9%
40 477
29.5%
30 382
23.6%
20 97
 
6.0%

이용자 성별
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
남자
1064 
여자
484 
<NA>
 
69

Length

Max length4
Median length2
Mean length2.0853432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남자 1064
65.8%
여자 484
29.9%
<NA> 69
 
4.3%

Length

2023-12-12T17:23:47.235329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:47.356724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 1064
65.8%
여자 484
29.9%
na 69
 
4.3%

대기 유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
대기N충전Y
1212 
<NA>
156 
대기Y충전N
144 
대기Y충전Y
 
97
대기N충전N
 
8

Length

Max length6
Median length6
Mean length5.8070501
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기N충전Y 1212
75.0%
<NA> 156
 
9.6%
대기Y충전N 144
 
8.9%
대기Y충전Y 97
 
6.0%
대기N충전N 8
 
0.5%

Length

2023-12-12T17:23:47.483437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:47.627870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기n충전y 1212
75.0%
na 156
 
9.6%
대기y충전n 144
 
8.9%
대기y충전y 97
 
6.0%
대기n충전n 8
 
0.5%

충전기 타입
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
DC콤보
957 
AC급속3상
336 
DC차데모
292 
<NA>
 
14
전용 단자
 
14

Length

Max length6
Median length4
Mean length4.6048237
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDC콤보
2nd rowDC콤보
3rd rowDC차데모
4th rowDC콤보
5th rowAC급속3상

Common Values

ValueCountFrequency (%)
DC콤보 957
59.2%
AC급속3상 336
 
20.8%
DC차데모 292
 
18.1%
<NA> 14
 
0.9%
전용 단자 14
 
0.9%
AC완속 4
 
0.2%

Length

2023-12-12T17:23:47.772206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:47.905688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 957
58.7%
ac급속3상 336
 
20.6%
dc차데모 292
 
17.9%
na 14
 
0.9%
전용 14
 
0.9%
단자 14
 
0.9%
ac완속 4
 
0.2%

대기 횟수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
0
1376 
1
219 
2
 
21
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1376
85.1%
1 219
 
13.5%
2 21
 
1.3%
3 1
 
0.1%

Length

2023-12-12T17:23:48.031227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:23:48.144328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1376
85.1%
1 219
 
13.5%
2 21
 
1.3%
3 1
 
0.1%

충전 횟수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3017934
Minimum0
Maximum13
Zeros308
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-12T17:23:48.273052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.237993
Coefficient of variation (CV)0.95099037
Kurtosis13.861253
Mean1.3017934
Median Absolute Deviation (MAD)0
Skewness2.7433524
Sum2105
Variance1.5326267
MonotonicityNot monotonic
2023-12-12T17:23:48.400913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 873
54.0%
0 308
 
19.0%
2 249
 
15.4%
3 109
 
6.7%
4 37
 
2.3%
5 18
 
1.1%
6 11
 
0.7%
7 5
 
0.3%
8 3
 
0.2%
11 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 308
 
19.0%
1 873
54.0%
2 249
 
15.4%
3 109
 
6.7%
4 37
 
2.3%
5 18
 
1.1%
6 11
 
0.7%
7 5
 
0.3%
8 3
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
11 2
 
0.1%
9 1
 
0.1%
8 3
 
0.2%
7 5
 
0.3%
6 11
 
0.7%
5 18
 
1.1%
4 37
 
2.3%
3 109
6.7%
2 249
15.4%

대기 시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
00:00:00
1434 
00:02:00
 
23
00:01:00
 
21
00:05:00
 
20
00:03:00
 
17
Other values (34)
 
102

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique16 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 1434
88.7%
00:02:00 23
 
1.4%
00:01:00 21
 
1.3%
00:05:00 20
 
1.2%
00:03:00 17
 
1.1%
00:04:00 11
 
0.7%
00:07:00 11
 
0.7%
00:08:00 10
 
0.6%
00:11:00 7
 
0.4%
00:10:00 6
 
0.4%
Other values (29) 57
 
3.5%

Length

2023-12-12T17:23:48.848722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 1434
88.7%
00:02:00 23
 
1.4%
00:01:00 21
 
1.3%
00:05:00 20
 
1.2%
00:03:00 17
 
1.1%
00:04:00 11
 
0.7%
00:07:00 11
 
0.7%
00:08:00 10
 
0.6%
00:11:00 7
 
0.4%
00:09:00 6
 
0.4%
Other values (29) 57
 
3.5%
Distinct164
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 06:48:00
2023-12-12T17:23:49.014977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:23:49.198081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct96
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 04:57:00
2023-12-12T17:23:49.340163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:23:49.473397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T17:23:44.469057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:23:44.204469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:23:44.575774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:23:44.326675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:23:49.584064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영기관조사 연월조사 요일충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간회차 시간
운영기관1.0000.1360.2840.8560.8560.8560.3150.2380.1180.0720.0810.1390.0880.0000.3230.000
조사 연월0.1361.0000.2490.5120.5120.5120.0620.0580.0520.0430.1420.0620.0480.0230.1320.155
조사 요일0.2840.2491.0000.5610.5610.5610.0740.0860.0320.0000.0480.0000.0430.0000.0660.045
충전소 아이디0.8560.5120.5611.0001.0001.0000.5110.4720.2480.1530.1370.2780.0370.0000.0000.000
충전소 이름0.8560.5120.5611.0001.0001.0000.5110.4720.2480.1530.1370.2780.0370.0000.0000.000
충전소 주소0.8560.5120.5611.0001.0001.0000.5110.4720.2480.1530.1370.2780.0370.0000.0000.000
이용 차량 대분류0.3150.0620.0740.5110.5110.5111.0000.5950.5780.1470.0100.2890.0470.0000.1560.149
이용자 유형0.2380.0580.0860.4720.4720.4720.5951.0000.2490.0980.0000.1910.0600.0000.0720.235
이용자 연령대0.1180.0520.0320.2480.2480.2480.5780.2491.0000.2860.0000.1030.0000.0820.0000.000
이용자 성별0.0720.0430.0000.1530.1530.1530.1470.0980.2861.0000.0610.1030.0780.0610.0000.071
대기 유형0.0810.1420.0480.1370.1370.1370.0100.0000.0000.0611.0000.0090.8960.2000.7900.000
충전기 타입0.1390.0620.0000.2780.2780.2780.2890.1910.1030.1030.0091.0000.0000.0180.0000.000
대기 횟수0.0880.0480.0430.0370.0370.0370.0470.0600.0000.0780.8960.0001.0000.2270.9470.418
충전 횟수0.0000.0230.0000.0000.0000.0000.0000.0000.0820.0610.2000.0180.2271.0000.0000.901
대기 시간0.3230.1320.0660.0000.0000.0000.1560.0720.0000.0000.7900.0000.9470.0001.0000.000
회차 시간0.0000.1550.0450.0000.0000.0000.1490.2350.0000.0710.0000.0000.4180.9010.0001.000
2023-12-12T17:23:49.769438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대기 유형이용자 유형이용 차량 대분류운영기관이용자 성별충전기 타입충전소 아이디조사 요일대기 시간조사 연월충전소 주소대기 횟수충전소 이름
대기 유형1.0000.0000.0090.0660.0400.0070.0760.0390.5290.0570.0760.5800.076
이용자 유형0.0001.0000.8640.2900.0620.2330.4230.1050.0600.0380.4230.0400.423
이용 차량 대분류0.0090.8641.0000.2510.2430.2280.3200.0550.0710.0580.3200.0440.320
운영기관0.0660.2900.2511.0000.0870.0520.6560.1090.1540.1110.6560.0720.656
이용자 성별0.0400.0620.2430.0871.0000.1260.1360.0000.0000.0280.1360.0520.136
충전기 타입0.0070.2330.2280.0520.1261.0000.1460.0000.0000.0510.1460.0000.146
충전소 아이디0.0760.4230.3200.6560.1360.1461.0000.3290.0000.3081.0000.0201.000
조사 요일0.0390.1050.0550.1090.0000.0000.3291.0000.0300.2060.3290.0350.329
대기 시간0.5290.0600.0710.1540.0000.0000.0000.0301.0000.0670.0000.7930.000
조사 연월0.0570.0380.0580.1110.0280.0510.3080.2060.0671.0000.3080.0190.308
충전소 주소0.0760.4230.3200.6560.1360.1461.0000.3290.0000.3081.0000.0201.000
대기 횟수0.5800.0400.0440.0720.0520.0000.0200.0350.7930.0190.0201.0000.020
충전소 이름0.0760.4230.3200.6560.1360.1461.0000.3290.0000.3081.0000.0201.000
2023-12-12T17:23:49.945684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자 연령대충전 횟수운영기관조사 연월조사 요일충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 성별대기 유형충전기 타입대기 횟수대기 시간
이용자 연령대1.000-0.0300.0790.0340.0210.1190.1190.1190.2880.1790.2050.0000.0690.0000.000
충전 횟수-0.0301.0000.0000.0140.0000.0000.0000.0000.0000.0000.0610.1290.0100.1470.000
운영기관0.0790.0001.0000.1110.1090.6560.6560.6560.2510.2900.0870.0660.0520.0720.154
조사 연월0.0340.0140.1111.0000.2060.3080.3080.3080.0580.0380.0280.0570.0510.0190.067
조사 요일0.0210.0000.1090.2061.0000.3290.3290.3290.0550.1050.0000.0390.0000.0350.030
충전소 아이디0.1190.0000.6560.3080.3291.0001.0001.0000.3200.4230.1360.0760.1460.0200.000
충전소 이름0.1190.0000.6560.3080.3291.0001.0001.0000.3200.4230.1360.0760.1460.0200.000
충전소 주소0.1190.0000.6560.3080.3291.0001.0001.0000.3200.4230.1360.0760.1460.0200.000
이용 차량 대분류0.2880.0000.2510.0580.0550.3200.3200.3201.0000.8640.2430.0090.2280.0440.071
이용자 유형0.1790.0000.2900.0380.1050.4230.4230.4230.8641.0000.0620.0000.2330.0400.060
이용자 성별0.2050.0610.0870.0280.0000.1360.1360.1360.2430.0621.0000.0400.1260.0520.000
대기 유형0.0000.1290.0660.0570.0390.0760.0760.0760.0090.0000.0401.0000.0070.5800.529
충전기 타입0.0690.0100.0520.0510.0000.1460.1460.1460.2280.2330.1260.0071.0000.0000.000
대기 횟수0.0000.1470.0720.0190.0350.0200.0200.0200.0440.0400.0520.5800.0001.0000.793
대기 시간0.0000.0000.1540.0670.0300.0000.0000.0000.0710.0600.0000.5290.0000.7931.000

Missing values

2023-12-12T17:23:44.745267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:23:45.017402image/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 연월조사 요일충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
0제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객30여자<NA>DC콤보0000:00:0000:40:0000:04:00
1제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)영업용도민30남자대기N충전YDC콤보0100:00:0000:40:0000:32:00
2제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민<NA><NA>대기N충전NDC차데모0000:00:0000:00:0000:00:00
3제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민<NA><NA>대기N충전NDC콤보0000:00:0000:00:0000:00:00
4제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민20남자대기N충전YAC급속3상0100:00:0000:45:0000:01:00
5제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민30남자대기N충전YDC콤보0200:00:0001:13:0000:00:00
6제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민30여자대기N충전YDC콤보0200:00:0001:12:0000:02:00
7제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40남자대기N충전YDC콤보0100:00:0000:17:0000:01:00
8제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40여자<NA>DC콤보0000:00:0000:14:0000:01:00
9제주특별자치도2022-07JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40여자대기N충전YAC급속3상0100:00:0000:14:0000:01:00
운영기관조사 연월조사 요일충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
1607제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민<NA><NA>대기N충전YDC콤보0100:00:0000:40:0000:00:00
1608제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민20여자대기N충전YDC콤보0100:00:0000:24:0000:19:00
1609제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YAC급속3상0100:00:0000:38:0000:00:00
1610제주특별자치도2022-08JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YDC콤보0100:00:0000:31:0000:00:00
1611제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)영업용도민60남자대기N충전YDC콤보0200:00:0001:26:0000:05:00
1612제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민40남자대기N충전YDC차데모0100:00:0000:34:0000:01:00
1613제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민50여자대기N충전YDC콤보0100:00:0000:13:0000:01:00
1614제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YAC급속3상0100:00:0000:00:0000:00:00
1615제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YDC콤보0100:00:0000:22:0000:02:00
1616제주특별자치도2022-08JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60여자대기N충전YDC콤보0100:00:0000:12:0000:01:00