Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells2237
Missing cells (%)3.2%
Duplicate rows210
Duplicate rows (%)2.1%
Total size in memory654.3 KiB
Average record size in memory67.0 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21245/F/1/datasetView.do

Alerts

기준년월 has constant value ""Constant
Dataset has 210 (2.1%) duplicate rowsDuplicates
연료 is highly imbalanced (61.2%)Imbalance
현소유자의출생년도 has 2236 (22.4%) missing valuesMissing

Reproduction

Analysis started2024-03-13 07:47:48.264515
Analysis finished2024-03-13 07:47:49.304899
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202112
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202112
2nd row202112
3rd row202112
4th row202112
5th row202112

Common Values

ValueCountFrequency (%)
202112 10000
100.0%

Length

2024-03-13T16:47:49.357573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:47:49.449580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202112 10000
100.0%

사용본거지시읍면동_행정동기준
Text

Distinct426
Distinct (%)4.3%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-13T16:47:49.691127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length13.858186
Min length11

Characters and Unicode

Total characters138568
Distinct characters194
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row서울특별시 강서구 염창동
2nd row서울특별시 관악구 미성동
3rd row서울특별시 도봉구 창4동
4th row서울특별시 노원구 상계3.4동
5th row서울특별시 중랑구 면목7동
ValueCountFrequency (%)
서울특별시 9999
33.3%
강서구 1216
 
4.1%
구로구 763
 
2.5%
영등포구 723
 
2.4%
강동구 620
 
2.1%
강남구 595
 
2.0%
노원구 524
 
1.7%
관악구 482
 
1.6%
서초구 469
 
1.6%
은평구 462
 
1.5%
Other values (441) 14144
47.2%
2024-03-13T16:47:50.068985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19998
14.4%
서 12098
 
8.7%
구 11343
 
8.2%
동 11165
 
8.1%
시 10116
 
7.3%
특 9999
 
7.2%
울 9999
 
7.2%
별 9999
 
7.2%
1 3050
 
2.2%
강 2833
 
2.0%
Other values (184) 37968
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111495
80.5%
Space Separator 19998
 
14.4%
Decimal Number 6856
 
4.9%
Other Punctuation 219
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12098
 
10.9%
구 11343
 
10.2%
동 11165
 
10.0%
시 10116
 
9.1%
특 9999
 
9.0%
울 9999
 
9.0%
별 9999
 
9.0%
강 2833
 
2.5%
로 1610
 
1.4%
포 1159
 
1.0%
Other values (172) 31174
28.0%
Decimal Number
ValueCountFrequency (%)
1 3050
44.5%
2 1839
26.8%
3 892
 
13.0%
4 566
 
8.3%
5 146
 
2.1%
7 135
 
2.0%
6 117
 
1.7%
8 75
 
1.1%
0 22
 
0.3%
9 14
 
0.2%
Space Separator
ValueCountFrequency (%)
19998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111495
80.5%
Common 27073
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12098
 
10.9%
구 11343
 
10.2%
동 11165
 
10.0%
시 10116
 
9.1%
특 9999
 
9.0%
울 9999
 
9.0%
별 9999
 
9.0%
강 2833
 
2.5%
로 1610
 
1.4%
포 1159
 
1.0%
Other values (172) 31174
28.0%
Common
ValueCountFrequency (%)
19998
73.9%
1 3050
 
11.3%
2 1839
 
6.8%
3 892
 
3.3%
4 566
 
2.1%
. 219
 
0.8%
5 146
 
0.5%
7 135
 
0.5%
6 117
 
0.4%
8 75
 
0.3%
Other values (2) 36
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111495
80.5%
ASCII 27073
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19998
73.9%
1 3050
 
11.3%
2 1839
 
6.8%
3 892
 
3.3%
4 566
 
2.1%
. 219
 
0.8%
5 146
 
0.5%
7 135
 
0.5%
6 117
 
0.4%
8 75
 
0.3%
Other values (2) 36
 
0.1%
Hangul
ValueCountFrequency (%)
서 12098
 
10.9%
구 11343
 
10.2%
동 11165
 
10.0%
시 10116
 
9.1%
특 9999
 
9.0%
울 9999
 
9.0%
별 9999
 
9.0%
강 2833
 
2.5%
로 1610
 
1.4%
포 1159
 
1.0%
Other values (172) 31174
28.0%

차명
Text

Distinct267
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T16:47:50.360975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length13.6061
Min length2

Characters and Unicode

Total characters136061
Distinct characters191
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.6%

Sample

1st row니로 하이브리드
2nd rowK7 하이브리드
3rd row니로 하이브리드
4th row벤츠 EQC 400 4MATIC
5th row니로 하이브리드
ValueCountFrequency (%)
하이브리드 3586
 
14.0%
그랜저 1265
 
5.0%
니로 1104
 
4.3%
렉서스 1038
 
4.1%
hybrid 685
 
2.7%
토요타 676
 
2.6%
es300h 639
 
2.5%
쏘나타 587
 
2.3%
하이브리드(grandeur 543
 
2.1%
h 543
 
2.1%
Other values (323) 14889
58.3%
2024-03-13T16:47:50.838415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15725
 
11.6%
이 5581
 
4.1%
리 5015
 
3.7%
드 5000
 
3.7%
하 4993
 
3.7%
브 4993
 
3.7%
A 3857
 
2.8%
E 3707
 
2.7%
R 3397
 
2.5%
N 3003
 
2.2%
Other values (181) 80790
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48879
35.9%
Uppercase Letter 41029
30.2%
Lowercase Letter 16781
 
12.3%
Space Separator 15725
 
11.6%
Decimal Number 8761
 
6.4%
Open Punctuation 2996
 
2.2%
Close Punctuation 979
 
0.7%
Dash Punctuation 451
 
0.3%
Letter Number 380
 
0.3%
Other Punctuation 52
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5581
 
11.4%
리 5015
 
10.3%
드 5000
 
10.2%
하 4993
 
10.2%
브 4993
 
10.2%
렉 1489
 
3.0%
타 1483
 
3.0%
저 1406
 
2.9%
그 1404
 
2.9%
랜 1401
 
2.9%
Other values (114) 16114
33.0%
Uppercase Letter
ValueCountFrequency (%)
A 3857
 
9.4%
E 3707
 
9.0%
R 3397
 
8.3%
N 3003
 
7.3%
H 2321
 
5.7%
I 2280
 
5.6%
O 2208
 
5.4%
S 2192
 
5.3%
T 2166
 
5.3%
C 1966
 
4.8%
Other values (15) 13932
34.0%
Lowercase Letter
ValueCountFrequency (%)
e 2750
16.4%
r 1638
9.8%
d 1603
9.6%
n 1300
 
7.7%
a 1109
 
6.6%
h 1063
 
6.3%
o 1017
 
6.1%
i 929
 
5.5%
y 766
 
4.6%
g 740
 
4.4%
Other values (14) 3866
23.0%
Decimal Number
ValueCountFrequency (%)
0 3001
34.3%
5 1744
19.9%
3 1590
18.1%
4 957
 
10.9%
7 381
 
4.3%
6 318
 
3.6%
2 264
 
3.0%
8 238
 
2.7%
1 179
 
2.0%
9 89
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 266
70.0%
Ⅲ 114
30.0%
Space Separator
ValueCountFrequency (%)
15725
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2996
100.0%
Close Punctuation
ValueCountFrequency (%)
) 979
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 451
100.0%
Other Punctuation
ValueCountFrequency (%)
. 52
100.0%
Math Symbol
ValueCountFrequency (%)
+ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58190
42.8%
Hangul 48879
35.9%
Common 28992
21.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5581
 
11.4%
리 5015
 
10.3%
드 5000
 
10.2%
하 4993
 
10.2%
브 4993
 
10.2%
렉 1489
 
3.0%
타 1483
 
3.0%
저 1406
 
2.9%
그 1404
 
2.9%
랜 1401
 
2.9%
Other values (114) 16114
33.0%
Latin
ValueCountFrequency (%)
A 3857
 
6.6%
E 3707
 
6.4%
R 3397
 
5.8%
N 3003
 
5.2%
e 2750
 
4.7%
H 2321
 
4.0%
I 2280
 
3.9%
O 2208
 
3.8%
S 2192
 
3.8%
T 2166
 
3.7%
Other values (41) 30309
52.1%
Common
ValueCountFrequency (%)
15725
54.2%
0 3001
 
10.4%
( 2996
 
10.3%
5 1744
 
6.0%
3 1590
 
5.5%
) 979
 
3.4%
4 957
 
3.3%
- 451
 
1.6%
7 381
 
1.3%
6 318
 
1.1%
Other values (6) 850
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86802
63.8%
Hangul 48879
35.9%
Number Forms 380
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15725
 
18.1%
A 3857
 
4.4%
E 3707
 
4.3%
R 3397
 
3.9%
N 3003
 
3.5%
0 3001
 
3.5%
( 2996
 
3.5%
e 2750
 
3.2%
H 2321
 
2.7%
I 2280
 
2.6%
Other values (55) 43765
50.4%
Hangul
ValueCountFrequency (%)
이 5581
 
11.4%
리 5015
 
10.3%
드 5000
 
10.2%
하 4993
 
10.2%
브 4993
 
10.2%
렉 1489
 
3.0%
타 1483
 
3.0%
저 1406
 
2.9%
그 1404
 
2.9%
랜 1401
 
2.9%
Other values (114) 16114
33.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 266
70.0%
Ⅲ 114
30.0%

연료
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하이브리드(휘발유+전기)
7604 
전기
2025 
수소
 
144
하이브리드(경유+전기)
 
115
하이브리드(LPG+전기)
 
110

Length

Max length13
Median length13
Mean length10.6026
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하이브리드(휘발유+전기)
2nd row하이브리드(휘발유+전기)
3rd row하이브리드(휘발유+전기)
4th row전기
5th row하이브리드(휘발유+전기)

Common Values

ValueCountFrequency (%)
하이브리드(휘발유+전기) 7604
76.0%
전기 2025
 
20.2%
수소 144
 
1.4%
하이브리드(경유+전기) 115
 
1.1%
하이브리드(LPG+전기) 110
 
1.1%
하이브리드(CNG+전기) 2
 
< 0.1%

Length

2024-03-13T16:47:50.953859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:47:51.051321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하이브리드(휘발유+전기 7604
76.0%
전기 2025
 
20.2%
수소 144
 
1.4%
하이브리드(경유+전기 115
 
1.1%
하이브리드(lpg+전기 110
 
1.1%
하이브리드(cng+전기 2
 
< 0.1%

최초등록일
Real number (ℝ)

Distinct2306
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20184779
Minimum20051130
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T16:47:51.170704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051130
5-th percentile20120928
Q120170811
median20191105
Q320210217
95-th percentile20211110
Maximum20211231
Range160101
Interquartile range (IQR)39406

Descriptive statistics

Standard deviation27867.345
Coefficient of variation (CV)0.0013806119
Kurtosis1.2209907
Mean20184779
Median Absolute Deviation (MAD)19310.5
Skewness-1.2975052
Sum2.0184779 × 1011
Variance7.765889 × 108
MonotonicityNot monotonic
2024-03-13T16:47:51.293271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210831 28
 
0.3%
20210825 28
 
0.3%
20210827 26
 
0.3%
20211126 24
 
0.2%
20211216 24
 
0.2%
20210901 24
 
0.2%
20210928 23
 
0.2%
20201218 23
 
0.2%
20201230 23
 
0.2%
20211119 22
 
0.2%
Other values (2296) 9755
97.5%
ValueCountFrequency (%)
20051130 1
< 0.1%
20060728 1
< 0.1%
20061020 1
< 0.1%
20070420 1
< 0.1%
20070709 1
< 0.1%
20070731 1
< 0.1%
20070802 1
< 0.1%
20071025 1
< 0.1%
20071107 1
< 0.1%
20071126 1
< 0.1%
ValueCountFrequency (%)
20211231 4
 
< 0.1%
20211230 15
0.1%
20211229 10
0.1%
20211228 14
0.1%
20211227 9
0.1%
20211224 12
0.1%
20211223 21
0.2%
20211222 8
 
0.1%
20211221 8
 
0.1%
20211220 16
0.2%

현소유자의출생년도
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)1.0%
Missing2236
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean1973.3032
Minimum1911
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T16:47:51.434088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1911
5-th percentile1953
Q11964
median1974
Q31983
95-th percentile1991
Maximum2014
Range103
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.925875
Coefficient of variation (CV)0.0060436101
Kurtosis-0.32374688
Mean1973.3032
Median Absolute Deviation (MAD)9
Skewness-0.29604917
Sum15320726
Variance142.2265
MonotonicityNot monotonic
2024-03-13T16:47:51.551435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1981 276
 
2.8%
1980 262
 
2.6%
1982 258
 
2.6%
1974 253
 
2.5%
1983 238
 
2.4%
1979 231
 
2.3%
1984 231
 
2.3%
1971 226
 
2.3%
1977 226
 
2.3%
1970 224
 
2.2%
Other values (68) 5339
53.4%
(Missing) 2236
22.4%
ValueCountFrequency (%)
1911 1
 
< 0.1%
1929 1
 
< 0.1%
1931 1
 
< 0.1%
1932 1
 
< 0.1%
1933 2
< 0.1%
1934 1
 
< 0.1%
1935 3
< 0.1%
1936 2
< 0.1%
1937 4
< 0.1%
1938 3
< 0.1%
ValueCountFrequency (%)
2014 1
 
< 0.1%
2013 3
 
< 0.1%
2011 10
0.1%
2008 1
 
< 0.1%
2007 1
 
< 0.1%
2001 1
 
< 0.1%
2000 1
 
< 0.1%
1999 4
 
< 0.1%
1998 5
0.1%
1997 11
0.1%

제원관리번호
Text

Distinct944
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T16:47:51.765659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)2.4%

Sample

1st rowA0110006100281219
2nd rowA0110004501001315
3rd rowA0110006100101217
4th row00820006800001219
5th rowA0110006100081217
ValueCountFrequency (%)
a0810010801171318 343
 
3.4%
a0110006100081217 135
 
1.4%
01020006800001318 134
 
1.3%
07020000600021219 115
 
1.1%
a0810012000401319 102
 
1.0%
a0110006100261219 102
 
1.0%
a0810006219283120 99
 
1.0%
a0810010800451317 88
 
0.9%
a0110006100281219 85
 
0.9%
a0810012400101220 85
 
0.9%
Other values (934) 8712
87.1%
2024-03-13T16:47:52.089996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69482
40.9%
1 38684
22.8%
2 18092
 
10.6%
8 8461
 
5.0%
3 7012
 
4.1%
A 6463
 
3.8%
6 5478
 
3.2%
7 4798
 
2.8%
9 4022
 
2.4%
5 3808
 
2.2%
Other values (13) 3700
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163345
96.1%
Uppercase Letter 6655
 
3.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 6463
97.1%
D 52
 
0.8%
R 30
 
0.5%
B 30
 
0.5%
C 29
 
0.4%
G 25
 
0.4%
J 12
 
0.2%
S 5
 
0.1%
N 3
 
< 0.1%
L 2
 
< 0.1%
Other values (3) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 69482
42.5%
1 38684
23.7%
2 18092
 
11.1%
8 8461
 
5.2%
3 7012
 
4.3%
6 5478
 
3.4%
7 4798
 
2.9%
9 4022
 
2.5%
5 3808
 
2.3%
4 3508
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 163345
96.1%
Latin 6655
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 6463
97.1%
D 52
 
0.8%
R 30
 
0.5%
B 30
 
0.5%
C 29
 
0.4%
G 25
 
0.4%
J 12
 
0.2%
S 5
 
0.1%
N 3
 
< 0.1%
L 2
 
< 0.1%
Other values (3) 4
 
0.1%
Common
ValueCountFrequency (%)
0 69482
42.5%
1 38684
23.7%
2 18092
 
11.1%
8 8461
 
5.2%
3 7012
 
4.3%
6 5478
 
3.4%
7 4798
 
2.9%
9 4022
 
2.5%
5 3808
 
2.3%
4 3508
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69482
40.9%
1 38684
22.8%
2 18092
 
10.6%
8 8461
 
5.0%
3 7012
 
4.1%
A 6463
 
3.8%
6 5478
 
3.2%
7 4798
 
2.8%
9 4022
 
2.4%
5 3808
 
2.2%
Other values (13) 3700
 
2.2%

Interactions

2024-03-13T16:47:48.875306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:47:48.708884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:47:48.959500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:47:48.795521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T16:47:52.173286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연료최초등록일현소유자의출생년도
연료1.0000.5140.051
최초등록일0.5141.0000.094
현소유자의출생년도0.0510.0941.000
2024-03-13T16:47:52.489903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최초등록일현소유자의출생년도연료
최초등록일1.0000.0600.301
현소유자의출생년도0.0601.0000.027
연료0.3010.0271.000

Missing values

2024-03-13T16:47:49.054068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:47:49.170718image/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.
2024-03-13T16:47:49.257955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

기준년월사용본거지시읍면동_행정동기준차명연료최초등록일현소유자의출생년도제원관리번호
17394202112서울특별시 강서구 염창동니로 하이브리드하이브리드(휘발유+전기)201903281968A0110006100281219
32104202112서울특별시 관악구 미성동K7 하이브리드하이브리드(휘발유+전기)201510291963A0110004501001315
15451202112서울특별시 도봉구 창4동니로 하이브리드하이브리드(휘발유+전기)201707131990A0110006100101217
36505202112서울특별시 노원구 상계3.4동벤츠 EQC 400 4MATIC전기20200603198300820006800001219
13594202112서울특별시 중랑구 면목7동니로 하이브리드하이브리드(휘발유+전기)201802081982A0110006100081217
45001202112서울특별시 종로구 창신3동토요타 RAV4 Hybrid 2WD하이브리드(휘발유+전기)20201130195601020007000061320
15640202112서울특별시 강동구 암사2동볼보 S90B5하이브리드(휘발유+전기)20201130198000920003800221220
19030202112서울특별시 강북구 수유1동프라이드 하이브리드하이브리드(휘발유+전기)20061020<NA>A0110003500721106
11520202112서울특별시 관악구 남현동니로 하이브리드하이브리드(휘발유+전기)202111031954A0110006100601221
23215202112서울특별시 광진구 광장동아이오닉 하이브리드(IONIQ HY하이브리드(휘발유+전기)201906251982A0810010500491219
기준년월사용본거지시읍면동_행정동기준차명연료최초등록일현소유자의출생년도제원관리번호
5384202112서울특별시 은평구 응암3동니로 하이브리드하이브리드(휘발유+전기)201802191991A0110006100091217
6198202112서울특별시 종로구 종로1.2.3.4가동그랜저 하이브리드하이브리드(휘발유+전기)201911041985A0810010801161318
20402202112서울특별시 구로구 구로1동아이오닉5 (IONIQ5)전기20210830<NA>A0810012700081221
44527202112서울특별시 은평구 구산동그랜저 하이브리드하이브리드(휘발유+전기)201902131979A0810010801171318
3588202112서울특별시 은평구 진관동렉서스 ES300h하이브리드(휘발유+전기)20180321197201020004500061317
47819202112서울특별시 강남구 대치1동Model Y Standard Range전기20210928<NA>07020000900001221
27637202112서울특별시 구로구 구로2동쏘나타 하이브리드(SONATA HYB하이브리드(휘발유+전기)201506101987A0810009800181214
10108202112서울특별시 영등포구 당산2동Mercedes-AMG GT43 4MATIC +하이브리드(휘발유+전기)20210416199200820006500081321
9814202112서울특별시 강북구 삼양동K7 하이브리드하이브리드(휘발유+전기)201511091954A0110004501001315
7491202112서울특별시 관악구 인헌동쏘렌토 하이브리드하이브리드(휘발유+전기)202004031974A0110007000261220

Duplicate rows

Most frequently occurring

기준년월사용본거지시읍면동_행정동기준차명연료최초등록일현소유자의출생년도제원관리번호# duplicates
178202112서울특별시 영등포구 여의동마스타(MASTA)VAN전기20191203<NA>D1R1000020000341911
84202112서울특별시 구로구 구로1동Model 3 Standard Range Plus전기20200629<NA>070200006000312199
95202112서울특별시 구로구 구로1동니로 EV전기20210901<NA>A01100061005312217
97202112서울특별시 구로구 구로1동니로 EV전기20210916<NA>A01100061005312217
72202112서울특별시 강서구 가양1동아이오닉5 (IONIQ5)전기20211230<NA>A08100127001112216
120202112서울특별시 구로구 구로4동니로 EV전기20210121<NA>A01100061004912206
135202112서울특별시 구로구 구로4동아이오닉5(IONIQ5)전기20211115<NA>A08100127002212216
181202112서울특별시 영등포구 여의동마스타(MASTA)VAN전기20191210<NA>D1R100002000034196
9202112서울특별시 강남구 대치1동니로 EV전기20210825<NA>A01100061005312215
81202112서울특별시 구로구 구로1동Model 3 Long Range전기20200625<NA>070200006000212195