Overview

Dataset statistics

Number of variables17
Number of observations1883
Missing cells82
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory255.7 KiB
Average record size in memory139.1 B

Variable types

Categorical11
DateTime4
Numeric2

Dataset

Description도청, 제주시청, 서귀포 시청 등 17개 지역에서 현장 실측한 전기차 대기 현황 데이터를 일별로 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/15109783/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
충전 횟수 is highly overall correlated with 대기 유형High 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 충전 횟수 and 1 other fieldsHigh correlation
대기 횟수 is highly overall correlated with 대기 유형High correlation
운영기관 is highly imbalanced (55.5%)Imbalance
이용자 유형 is highly imbalanced (62.2%)Imbalance
대기 유형 is highly imbalanced (51.1%)Imbalance
대기 횟수 is highly imbalanced (61.6%)Imbalance
이용자 연령대 has 82 (4.4%) missing valuesMissing
충전 횟수 has 319 (16.9%) zerosZeros

Reproduction

Analysis started2023-12-12 05:03:47.868882
Analysis finished2023-12-12 05:03:50.454649
Duration2.59 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 size14.8 KiB
제주특별자치도
1448 
한국전력공사
325 
환경부
 
80
한국전기차충전서비스
 
18
SK
 
12

Length

Max length10
Median length7
Mean length6.6542751
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 1448
76.9%
한국전력공사 325
 
17.3%
환경부 80
 
4.2%
한국전기차충전서비스 18
 
1.0%
SK 12
 
0.6%

Length

2023-12-12T14:03:50.539683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:50.989396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 1448
76.9%
한국전력공사 325
 
17.3%
환경부 80
 
4.2%
한국전기차충전서비스 18
 
1.0%
sk 12
 
0.6%

조사 일자
Date

Distinct60
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2022-07-11 00:00:00
Maximum2022-10-28 00:00:00
2023-12-12T14:03:51.169840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:51.317750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

날씨
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
맑음
1438 
흐림
411 
비
 
34

Length

Max length2
Median length2
Mean length1.9819437
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비
2nd row비
3rd row비
4th row흐림
5th row흐림

Common Values

ValueCountFrequency (%)
맑음 1438
76.4%
흐림 411
 
21.8%
비 34
 
1.8%

Length

2023-12-12T14:03:51.507602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:51.624069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 1438
76.4%
흐림 411
 
21.8%
비 34
 
1.8%

충전소 아이디
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
JD000003
401 
JD000049
325 
JD000001
319 
JD110035
192 
JD000004
142 
Other values (12)
504 

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 401
21.3%
JD000049 325
17.3%
JD000001 319
16.9%
JD110035 192
10.2%
JD000004 142
 
7.5%
JD100001 126
 
6.7%
JD000009 90
 
4.8%
JD000002 66
 
3.5%
JD160053 55
 
2.9%
ME174057 53
 
2.8%
Other values (7) 114
 
6.1%

Length

2023-12-12T14:03:51.743962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jd000003 401
21.3%
jd000049 325
17.3%
jd000001 319
16.9%
jd110035 192
10.2%
jd000004 142
 
7.5%
jd100001 126
 
6.7%
jd000009 90
 
4.8%
jd000002 66
 
3.5%
jd160053 55
 
2.9%
me174057 53
 
2.8%
Other values (7) 114
 
6.1%

충전소 이름
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
제주시청
401 
종합경기장
325 
제주특별자치도청
319 
시민복지타운 공영주차장
192 
서귀포시청
142 
Other values (12)
504 

Length

Max length12
Median length9
Mean length7.1587892
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시청 401
21.3%
종합경기장 325
17.3%
제주특별자치도청 319
16.9%
시민복지타운 공영주차장 192
10.2%
서귀포시청 142
 
7.5%
근로자종합복지관 주차장 126
 
6.7%
아라동사무소 90
 
4.8%
제주특별자치도의회 66
 
3.5%
제주국제컨벤션센터 55
 
2.9%
성산일출봉 공영주차장 53
 
2.8%
Other values (7) 114
 
6.1%

Length

2023-12-12T14:03:51.917999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시청 401
17.5%
종합경기장 325
14.2%
제주특별자치도청 319
13.9%
공영주차장 245
10.7%
시민복지타운 192
8.4%
서귀포시청 142
 
6.2%
근로자종합복지관 126
 
5.5%
주차장 126
 
5.5%
아라동사무소 90
 
3.9%
제주특별자치도의회 66
 
2.9%
Other values (10) 258
11.3%

충전소 주소
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
제주시 광양9길 10제주시청(이도이동 1176-1)
401 
제주시 서광로2길 24
325 
제주시 문연로 6청(연동 312-1)
319 
제주시 시민복지타운 공영주차장
192 
서귀포시 중앙로 105서귀포시청(서홍동 440-1)
142 
Other values (12)
504 

Length

Max length33
Median length30
Mean length19.928306
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) 401
21.3%
제주시 서광로2길 24 325
17.3%
제주시 문연로 6청(연동 312-1) 319
16.9%
제주시 시민복지타운 공영주차장 192
10.2%
서귀포시 중앙로 105서귀포시청(서홍동 440-1) 142
 
7.5%
제주시 수목원길 9 126
 
6.7%
제주시 중앙로 527아라동사무소(아라일동 6103-6) 90
 
4.8%
제주시 문연로 13의회(연동 311-45) 66
 
3.5%
서귀포시 중문관광로 224 55
 
2.9%
서귀포시 성산읍 일출로 284-6 53
 
2.8%
Other values (7) 114
 
6.1%

Length

2023-12-12T14:03:52.071570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시 1616
24.0%
10제주시청(이도이동 401
 
5.9%
1176-1 401
 
5.9%
광양9길 401
 
5.9%
문연로 385
 
5.7%
서광로2길 325
 
4.8%
24 325
 
4.8%
6청(연동 319
 
4.7%
312-1 319
 
4.7%
서귀포시 267
 
4.0%
Other values (34) 1988
29.5%

이용 차량 대분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
일반
1349 
렌터카
305 
영업용
228 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.2841211
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반 1349
71.6%
렌터카 305
 
16.2%
영업용 228
 
12.1%
<NA> 1
 
0.1%

Length

2023-12-12T14:03:52.247444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:52.377306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 1349
71.6%
렌터카 305
 
16.2%
영업용 228
 
12.1%
na 1
 
0.1%

이용자 유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
도민
1628 
관광객
247 
<NA>
 
8

Length

Max length4
Median length2
Mean length2.1396707
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도민 1628
86.5%
관광객 247
 
13.1%
<NA> 8
 
0.4%

Length

2023-12-12T14:03:52.516903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:52.655429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도민 1628
86.5%
관광객 247
 
13.1%
na 8
 
0.4%

이용자 연령대
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.3%
Missing82
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean41.465852
Minimum20
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2023-12-12T14:03:52.790086image/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 deviation11.487436
Coefficient of variation (CV)0.27703365
Kurtosis-0.49752674
Mean41.465852
Median Absolute Deviation (MAD)10
Skewness0.19363752
Sum74680
Variance131.96119
MonotonicityNot monotonic
2023-12-12T14:03:52.929548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 576
30.6%
30 448
23.8%
50 434
23.0%
60 201
 
10.7%
20 110
 
5.8%
70 32
 
1.7%
(Missing) 82
 
4.4%
ValueCountFrequency (%)
20 110
 
5.8%
30 448
23.8%
40 576
30.6%
50 434
23.0%
60 201
 
10.7%
70 32
 
1.7%
ValueCountFrequency (%)
70 32
 
1.7%
60 201
 
10.7%
50 434
23.0%
40 576
30.6%
30 448
23.8%
20 110
 
5.8%

이용자 성별
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
남자
1261 
여자
549 
<NA>
 
73

Length

Max length4
Median length2
Mean length2.0775358
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남자 1261
67.0%
여자 549
29.2%
<NA> 73
 
3.9%

Length

2023-12-12T14:03:53.102005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:53.254345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 1261
67.0%
여자 549
29.2%
na 73
 
3.9%

대기 유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
대기N충전Y
1463 
<NA>
165 
대기Y충전N
 
146
대기Y충전Y
 
101
대기N충전N
 
8

Length

Max length6
Median length6
Mean length5.8247477
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대기Y충전N
2nd row대기N충전Y
3rd row대기N충전Y
4th row대기N충전Y
5th row대기Y충전Y

Common Values

ValueCountFrequency (%)
대기N충전Y 1463
77.7%
<NA> 165
 
8.8%
대기Y충전N 146
 
7.8%
대기Y충전Y 101
 
5.4%
대기N충전N 8
 
0.4%

Length

2023-12-12T14:03:53.424916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:53.577852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기n충전y 1463
77.7%
na 165
 
8.8%
대기y충전n 146
 
7.8%
대기y충전y 101
 
5.4%
대기n충전n 8
 
0.4%

충전기 타입
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
DC콤보
1142 
AC급속3상
375 
DC차데모
334 
<NA>
 
14
전용 단자
 
14

Length

Max length6
Median length4
Mean length4.5831121
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DC콤보 1142
60.6%
AC급속3상 375
 
19.9%
DC차데모 334
 
17.7%
<NA> 14
 
0.7%
전용 단자 14
 
0.7%
AC완속 4
 
0.2%

Length

2023-12-12T14:03:53.721487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:53.874393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 1142
60.2%
ac급속3상 375
 
19.8%
dc차데모 334
 
17.6%
na 14
 
0.7%
전용 14
 
0.7%
단자 14
 
0.7%
ac완속 4
 
0.2%

대기 횟수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
0
1636 
1
230 
2
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1636
86.9%
1 230
 
12.2%
2 17
 
0.9%

Length

2023-12-12T14:03:54.014411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:03:54.142066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1636
86.9%
1 230
 
12.2%
2 17
 
0.9%

충전 횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.117897
Minimum0
Maximum6
Zeros319
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2023-12-12T14:03:54.253710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8317002
Coefficient of variation (CV)0.74398645
Kurtosis5.1134148
Mean1.117897
Median Absolute Deviation (MAD)0
Skewness1.6073434
Sum2105
Variance0.69172522
MonotonicityNot monotonic
2023-12-12T14:03:54.381636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1184
62.9%
0 319
 
16.9%
2 272
 
14.4%
3 72
 
3.8%
4 22
 
1.2%
5 11
 
0.6%
6 3
 
0.2%
ValueCountFrequency (%)
0 319
 
16.9%
1 1184
62.9%
2 272
 
14.4%
3 72
 
3.8%
4 22
 
1.2%
5 11
 
0.6%
6 3
 
0.2%
ValueCountFrequency (%)
6 3
 
0.2%
5 11
 
0.6%
4 22
 
1.2%
3 72
 
3.8%
2 272
 
14.4%
1 1184
62.9%
0 319
 
16.9%

대기 시간
Date

Distinct37
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 01:40:00
2023-12-12T14:03:54.503132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:54.647259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

충전 시간
Date

Distinct145
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 05:57:00
2023-12-12T14:03:54.871370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:55.068418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회차 시간
Date

Distinct94
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 03:33:00
2023-12-12T14:03:55.219410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:55.389080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T14:03:49.687356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:49.480927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:49.808582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:03:49.579088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:03:55.519243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영기관조사 일자날씨충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간회차 시간
운영기관1.0000.7610.0350.8580.8580.8580.3390.2560.1220.0740.0800.1550.1280.0480.2810.000
조사 일자0.7611.0000.8800.9070.9070.9070.4110.3810.2040.0000.2830.1790.2410.1640.0000.076
날씨0.0350.8801.0000.3610.3610.3610.0980.0200.0850.0000.0000.0000.0000.0000.0660.000
충전소 아이디0.8580.9070.3611.0001.0001.0000.5280.4880.2550.1560.1240.2800.1370.1400.0000.000
충전소 이름0.8580.9070.3611.0001.0001.0000.5280.4880.2550.1560.1240.2800.1370.1400.0000.000
충전소 주소0.8580.9070.3611.0001.0001.0000.5280.4880.2550.1560.1240.2800.1370.1400.0000.000
이용 차량 대분류0.3390.4110.0980.5280.5280.5281.0000.6010.5930.1400.0250.2790.0470.0090.1490.280
이용자 유형0.2560.3810.0200.4880.4880.4880.6011.0000.2520.0840.0260.1830.0240.0330.0930.275
이용자 연령대0.1220.2040.0850.2550.2550.2550.5930.2521.0000.2870.0000.1090.0000.0350.0000.000
이용자 성별0.0740.0000.0000.1560.1560.1560.1400.0840.2871.0000.0480.0990.0260.1010.0000.090
대기 유형0.0800.2830.0000.1240.1240.1240.0250.0260.0000.0481.0000.0000.6770.7090.7910.000
충전기 타입0.1550.1790.0000.2800.2800.2800.2790.1830.1090.0990.0001.0000.0300.1080.0000.000
대기 횟수0.1280.2410.0000.1370.1370.1370.0470.0240.0000.0260.6770.0301.0000.4320.8560.000
충전 횟수0.0480.1640.0000.1400.1400.1400.0090.0330.0350.1010.7090.1080.4321.0000.0540.782
대기 시간0.2810.0000.0660.0000.0000.0000.1490.0930.0000.0000.7910.0000.8560.0541.0000.000
회차 시간0.0000.0760.0000.0000.0000.0000.2800.2750.0000.0900.0000.0000.0000.7820.0001.000
2023-12-12T14:03:55.714414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용 차량 대분류대기 횟수날씨충전소 아이디충전소 주소이용자 유형이용자 성별충전기 타입대기 유형운영기관충전소 이름
이용 차량 대분류1.0000.0140.0290.3350.3350.8700.2320.2190.0230.2720.335
대기 횟수0.0141.0000.0000.0730.0730.0390.0430.0220.7080.0960.073
날씨0.0290.0001.0000.2080.2080.0330.0000.0000.0000.0260.208
충전소 아이디0.3350.0730.2081.0001.0000.4380.1390.1470.0690.6601.000
충전소 주소0.3350.0730.2081.0001.0000.4380.1390.1470.0690.6601.000
이용자 유형0.8700.0390.0330.4380.4381.0000.0530.2230.0170.3130.438
이용자 성별0.2320.0430.0000.1390.1390.0531.0000.1210.0320.0910.139
충전기 타입0.2190.0220.0000.1470.1470.2230.1211.0000.0000.0580.147
대기 유형0.0230.7080.0000.0690.0690.0170.0320.0001.0000.0660.069
운영기관0.2720.0960.0260.6600.6600.3130.0910.0580.0661.0000.660
충전소 이름0.3350.0730.2081.0001.0000.4380.1390.1470.0690.6601.000
2023-12-12T14:03:55.872613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자 연령대충전 횟수운영기관날씨충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 성별대기 유형충전기 타입대기 횟수
이용자 연령대1.000-0.0180.0820.0350.1230.1230.1230.2980.1810.2060.0000.0740.000
충전 횟수-0.0181.0000.0310.0000.0630.0630.0630.0060.0350.1080.5780.0690.323
운영기관0.0820.0311.0000.0260.6600.6600.6600.2720.3130.0910.0660.0580.096
날씨0.0350.0000.0261.0000.2080.2080.2080.0290.0330.0000.0000.0000.000
충전소 아이디0.1230.0630.6600.2081.0001.0001.0000.3350.4380.1390.0690.1470.073
충전소 이름0.1230.0630.6600.2081.0001.0001.0000.3350.4380.1390.0690.1470.073
충전소 주소0.1230.0630.6600.2081.0001.0001.0000.3350.4380.1390.0690.1470.073
이용 차량 대분류0.2980.0060.2720.0290.3350.3350.3351.0000.8700.2320.0230.2190.014
이용자 유형0.1810.0350.3130.0330.4380.4380.4380.8701.0000.0530.0170.2230.039
이용자 성별0.2060.1080.0910.0000.1390.1390.1390.2320.0531.0000.0320.1210.043
대기 유형0.0000.5780.0660.0000.0690.0690.0690.0230.0170.0321.0000.0000.708
충전기 타입0.0740.0690.0580.0000.1470.1470.1470.2190.2230.1210.0001.0000.022
대기 횟수0.0000.3230.0960.0000.0730.0730.0730.0140.0390.0430.7080.0221.000

Missing values

2023-12-12T14:03:50.015478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:03:50.345159image/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 일자날씨충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
0제주특별자치도2022-07-11비JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객<NA>남자대기Y충전N<NA>1000:05:0000:00:0000:00:00
1제주특별자치도2022-07-11비JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민30남자대기N충전YDC차데모0100:00:0000:38:0000:01:00
2제주특별자치도2022-07-11비JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40여자대기N충전YDC차데모0200:00:0001:30:0000:02:00
3제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객40여자대기N충전YAC급속3상0100:00:0000:42:0000:01:00
4제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)렌터카관광객40여자대기Y충전YDC차데모1100:11:0000:21:0000:01:00
5제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40남자대기N충전YDC차데모0200:00:0000:32:0000:00:00
6제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민40여자대기N충전YDC차데모0200:00:0000:35:0000:01:00
7제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민50남자대기N충전YDC차데모0200:00:0000:58:0000:01:00
8제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민50여자대기N충전YDC차데모0100:00:0000:30:0000:01:00
9제주특별자치도2022-07-11흐림JD000004서귀포시청서귀포시 중앙로 105서귀포시청(서홍동 440-1)일반도민60남자대기N충전YDC차데모0100:00:0000:22:0000:01:00
운영기관조사 일자날씨충전소 아이디충전소 이름충전소 주소이용 차량 대분류이용자 유형이용자 연령대이용자 성별대기 유형충전기 타입대기 횟수충전 횟수대기 시간충전 시간회차 시간
1873제주특별자치도2022-08-10맑음JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민20여자대기N충전YDC콤보0100:00:0000:24:0000:19:00
1874제주특별자치도2022-08-10맑음JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YAC급속3상0100:00:0000:38:0000:00:00
1875제주특별자치도2022-08-10맑음JD000007조천읍사무소제주시 조천읍 신북로 194조천읍사무소(조천리 3147-2)일반도민50남자대기N충전YDC콤보0100:00:0000:31:0000:00:00
1876제주특별자치도2022-08-10맑음JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)영업용도민60남자대기N충전YDC콤보0100:00:0000:43:0000:03:00
1877제주특별자치도2022-08-10맑음JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YAC급속3상0100:00:0000:00:0000:00:00
1878제주특별자치도2022-08-10맑음JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60남자대기N충전YDC콤보0100:00:0000:22:0000:02:00
1879제주특별자치도2022-08-10맑음JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민60여자대기N충전YDC콤보0100:00:0000:12:0000:01:00
1880제주특별자치도2022-08-24흐림JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)영업용도민60남자대기N충전YDC콤보0100:00:0000:43:0000:02:00
1881제주특별자치도2022-08-24흐림JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민40남자대기N충전YDC차데모0100:00:0000:34:0000:01:00
1882제주특별자치도2022-08-24흐림JD100023걸매축구장제주특별자치도 서귀포시 서홍로4-26(서홍동 477-4)일반도민50여자대기N충전YDC콤보0100:00:0000:13:0000:01:00