Overview

Dataset statistics

Number of variables23
Number of observations1585
Missing cells2289
Missing cells (%)6.3%
Duplicate rows243
Duplicate rows (%)15.3%
Total size in memory284.9 KiB
Average record size in memory184.1 B

Variable types

Unsupported17
Text3
Categorical3

Dataset

Description2022년 기업매칭 지원사업 결과물입니다. 서울특별시 광진구의 야간개방오픈주차장 데이터(주차장명, 위도, 경도 등)를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15111230/fileData.do

Alerts

Dataset has 243 (15.3%) duplicate rowsDuplicates
sido_nm is highly imbalanced (99.2%)Imbalance
sgg_nm is highly imbalanced (99.2%)Imbalance
ho has 319 (20.1%) missing valuesMissing
road_nm has 95 (6.0%) missing valuesMissing
bld_num has 123 (7.8%) missing valuesMissing
resident_day_month_amt has 57 (3.6%) missing valuesMissing
resident_night_month_amt has 58 (3.7%) missing valuesMissing
resident_allday_month_amt has 58 (3.7%) missing valuesMissing
specific has 1579 (99.6%) missing valuesMissing
no is an unsupported type, check if it needs cleaning or further analysisUnsupported
pl_id is an unsupported type, check if it needs cleaning or further analysisUnsupported
beonji is an unsupported type, check if it needs cleaning or further analysisUnsupported
ho is an unsupported type, check if it needs cleaning or further analysisUnsupported
bld_num is an unsupported type, check if it needs cleaning or further analysisUnsupported
logitude is an unsupported type, check if it needs cleaning or further analysisUnsupported
latitude is an unsupported type, check if it needs cleaning or further analysisUnsupported
pl_num_space is an unsupported type, check if it needs cleaning or further analysisUnsupported
pl_fee_free is an unsupported type, check if it needs cleaning or further analysisUnsupported
occ_park is an unsupported type, check if it needs cleaning or further analysisUnsupported
operation_type is an unsupported type, check if it needs cleaning or further analysisUnsupported
resident_day_month_amt is an unsupported type, check if it needs cleaning or further analysisUnsupported
resident_night_month_amt is an unsupported type, check if it needs cleaning or further analysisUnsupported
resident_allday_month_amt is an unsupported type, check if it needs cleaning or further analysisUnsupported
pl_start_time is an unsupported type, check if it needs cleaning or further analysisUnsupported
pl_end_time is an unsupported type, check if it needs cleaning or further analysisUnsupported
final_end_dt is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 19:29:43.541106
Analysis finished2023-12-12 19:29:43.952089
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

no
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

pl_id
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

pl_nm
Text

Distinct512
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-13T04:29:44.149579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.88959
Min length4

Characters and Unicode

Total characters18845
Distinct characters168
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

Unique282 ?
Unique (%)17.8%

Sample

1st row주차장명
2nd row광장동IoT공유주차장
3rd row광장동IoT공유주차장
4th row광장동IoT공유주차장
5th row102 노상주차장
ValueCountFrequency (%)
노상주차장 765
28.2%
거주자우선주차장 358
 
13.2%
어린이대공원노상주차장 59
 
2.2%
동서울호텔길a공영주차장 43
 
1.6%
광장동iot공유주차장 40
 
1.5%
758 30
 
1.1%
489-2 24
 
0.9%
자양2차우성아파트노상주차장 22
 
0.8%
482-5 21
 
0.8%
787 20
 
0.7%
Other values (484) 1333
49.1%
2023-12-13T04:29:44.637780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1961
 
10.4%
1695
 
9.0%
1609
 
8.5%
1130
 
6.0%
1084
 
5.8%
1076
 
5.7%
- 927
 
4.9%
2 898
 
4.8%
1 854
 
4.5%
3 522
 
2.8%
Other values (158) 7089
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11816
62.7%
Decimal Number 4752
25.2%
Space Separator 1130
 
6.0%
Dash Punctuation 927
 
4.9%
Uppercase Letter 157
 
0.8%
Lowercase Letter 59
 
0.3%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1961
16.6%
1695
14.3%
1609
13.6%
1084
9.2%
1076
9.1%
458
 
3.9%
419
 
3.5%
373
 
3.2%
371
 
3.1%
172
 
1.5%
Other values (135) 2598
22.0%
Decimal Number
ValueCountFrequency (%)
2 898
18.9%
1 854
18.0%
3 522
11.0%
5 470
9.9%
4 440
9.3%
8 370
7.8%
7 337
 
7.1%
6 332
 
7.0%
0 295
 
6.2%
9 234
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
I 47
29.9%
T 47
29.9%
A 43
27.4%
B 17
 
10.8%
J 3
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
o 50
84.7%
t 3
 
5.1%
w 3
 
5.1%
n 3
 
5.1%
Space Separator
ValueCountFrequency (%)
1130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 927
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11816
62.7%
Common 6813
36.2%
Latin 216
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1961
16.6%
1695
14.3%
1609
13.6%
1084
9.2%
1076
9.1%
458
 
3.9%
419
 
3.5%
373
 
3.2%
371
 
3.1%
172
 
1.5%
Other values (135) 2598
22.0%
Common
ValueCountFrequency (%)
1130
16.6%
- 927
13.6%
2 898
13.2%
1 854
12.5%
3 522
7.7%
5 470
6.9%
4 440
 
6.5%
8 370
 
5.4%
7 337
 
4.9%
6 332
 
4.9%
Other values (4) 533
7.8%
Latin
ValueCountFrequency (%)
o 50
23.1%
I 47
21.8%
T 47
21.8%
A 43
19.9%
B 17
 
7.9%
J 3
 
1.4%
t 3
 
1.4%
w 3
 
1.4%
n 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11816
62.7%
ASCII 7029
37.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1961
16.6%
1695
14.3%
1609
13.6%
1084
9.2%
1076
9.1%
458
 
3.9%
419
 
3.5%
373
 
3.2%
371
 
3.1%
172
 
1.5%
Other values (135) 2598
22.0%
ASCII
ValueCountFrequency (%)
1130
16.1%
- 927
13.2%
2 898
12.8%
1 854
12.1%
3 522
7.4%
5 470
6.7%
4 440
 
6.3%
8 370
 
5.3%
7 337
 
4.8%
6 332
 
4.7%
Other values (13) 749
10.7%

sido_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
서울특별시
1584 
시도명칭
 
1

Length

Max length5
Median length5
Mean length4.9993691
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row시도명칭
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 1584
99.9%
시도명칭 1
 
0.1%

Length

2023-12-13T04:29:44.822849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:44.980782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 1584
99.9%
시도명칭 1
 
0.1%

sgg_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
광진구
1584 
시군구명칭
 
1

Length

Max length5
Median length3
Mean length3.0012618
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row시군구명칭
2nd row광진구
3rd row광진구
4th row광진구
5th row광진구

Common Values

ValueCountFrequency (%)
광진구 1584
99.9%
시군구명칭 1
 
0.1%

Length

2023-12-13T04:29:45.111051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:45.254631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 1584
99.9%
시군구명칭 1
 
0.1%

bemd_nm
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
자양동
523 
중곡동
299 
구의동
214 
광장동
190 
화양동
163 
Other values (3)
196 

Length

Max length7
Median length3
Mean length2.9104101
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row법정읍면동명칭
2nd row광장동
3rd row광장동
4th row광장동
5th row광장동

Common Values

ValueCountFrequency (%)
자양동 523
33.0%
중곡동 299
18.9%
구의동 214
13.5%
광장동 190
 
12.0%
화양동 163
 
10.3%
능동 146
 
9.2%
군자동 49
 
3.1%
법정읍면동명칭 1
 
0.1%

Length

2023-12-13T04:29:45.368955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:45.506929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자양동 523
33.0%
중곡동 299
18.9%
구의동 214
13.5%
광장동 190
 
12.0%
화양동 163
 
10.3%
능동 146
 
9.2%
군자동 49
 
3.1%
법정읍면동명칭 1
 
0.1%

beonji
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

ho
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)20.1%
Memory size12.5 KiB

road_nm
Text

MISSING 

Distinct183
Distinct (%)12.3%
Missing95
Missing (%)6.0%
Memory size12.5 KiB
2023-12-13T04:29:45.879130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.985906
Min length3

Characters and Unicode

Total characters8919
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)3.0%

Sample

1st row도로명 이름
2nd row아차산로78길
3rd row아차산로78길
4th row아차산로78길
5th row아차산로78길
ValueCountFrequency (%)
긴고랑로 53
 
3.6%
아차산로 49
 
3.3%
뚝섬로 45
 
3.0%
자양로37길 44
 
3.0%
뚝섬로36길 41
 
2.7%
아차산로78길 38
 
2.5%
천호대로124길 37
 
2.5%
광장로1다길 34
 
2.3%
능동로36길 34
 
2.3%
자양강변길 29
 
1.9%
Other values (174) 1087
72.9%
2023-12-13T04:29:46.413230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1461
 
16.4%
1198
 
13.4%
3 444
 
5.0%
1 412
 
4.6%
2 340
 
3.8%
271
 
3.0%
262
 
2.9%
242
 
2.7%
242
 
2.7%
6 221
 
2.5%
Other values (47) 3826
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6709
75.2%
Decimal Number 2209
 
24.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1461
21.8%
1198
17.9%
271
 
4.0%
262
 
3.9%
242
 
3.6%
242
 
3.6%
209
 
3.1%
209
 
3.1%
205
 
3.1%
197
 
2.9%
Other values (36) 2213
33.0%
Decimal Number
ValueCountFrequency (%)
3 444
20.1%
1 412
18.7%
2 340
15.4%
6 221
10.0%
7 212
9.6%
4 202
9.1%
5 158
 
7.2%
8 104
 
4.7%
0 65
 
2.9%
9 51
 
2.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6709
75.2%
Common 2210
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1461
21.8%
1198
17.9%
271
 
4.0%
262
 
3.9%
242
 
3.6%
242
 
3.6%
209
 
3.1%
209
 
3.1%
205
 
3.1%
197
 
2.9%
Other values (36) 2213
33.0%
Common
ValueCountFrequency (%)
3 444
20.1%
1 412
18.6%
2 340
15.4%
6 221
10.0%
7 212
9.6%
4 202
9.1%
5 158
 
7.1%
8 104
 
4.7%
0 65
 
2.9%
9 51
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6709
75.2%
ASCII 2210
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1461
21.8%
1198
17.9%
271
 
4.0%
262
 
3.9%
242
 
3.6%
242
 
3.6%
209
 
3.1%
209
 
3.1%
205
 
3.1%
197
 
2.9%
Other values (36) 2213
33.0%
ASCII
ValueCountFrequency (%)
3 444
20.1%
1 412
18.6%
2 340
15.4%
6 221
10.0%
7 212
9.6%
4 202
9.1%
5 158
 
7.1%
8 104
 
4.7%
0 65
 
2.9%
9 51
 
2.3%

bld_num
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)7.8%
Memory size12.5 KiB

logitude
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

latitude
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

pl_num_space
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

pl_fee_free
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

occ_park
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

operation_type
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

resident_day_month_amt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)3.6%
Memory size12.5 KiB

resident_night_month_amt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)3.7%
Memory size12.5 KiB

resident_allday_month_amt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)3.7%
Memory size12.5 KiB

pl_start_time
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

pl_end_time
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

specific
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing1579
Missing (%)99.6%
Memory size12.5 KiB
2023-12-13T04:29:46.626457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length18.666667
Min length4

Characters and Unicode

Total characters112
Distinct characters40
Distinct categories6 ?
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 (%)50.0%

Sample

1st row특이사항
2nd row6시 이후 무료(시설공단확인완료)
3rd row6시 이후 무료(시설공단확인완료)
4th row광진구지역거주자 지하2층 100면 유료개방
5th row6시 이후 무료(시설공단확인완료)
ValueCountFrequency (%)
6시 4
21.1%
이후 4
21.1%
무료(시설공단확인완료 4
21.1%
특이사항 1
 
5.3%
광진구지역거주자 1
 
5.3%
지하2층 1
 
5.3%
100면 1
 
5.3%
유료개방 1
 
5.3%
일요일공휴일 1
 
5.3%
전일개방 1
 
5.3%
2023-12-13T04:29:46.980352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
11.6%
9
 
8.0%
8
 
7.1%
5
 
4.5%
5
 
4.5%
6 4
 
3.6%
4
 
3.6%
4
 
3.6%
) 4
 
3.6%
4
 
3.6%
Other values (30) 52
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
73.2%
Space Separator 13
 
11.6%
Decimal Number 8
 
7.1%
Close Punctuation 4
 
3.6%
Open Punctuation 4
 
3.6%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
11.0%
8
 
9.8%
5
 
6.1%
5
 
6.1%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
Other values (22) 31
37.8%
Decimal Number
ValueCountFrequency (%)
6 4
50.0%
0 2
25.0%
1 1
 
12.5%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
73.2%
Common 30
 
26.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
11.0%
8
 
9.8%
5
 
6.1%
5
 
6.1%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
Other values (22) 31
37.8%
Common
ValueCountFrequency (%)
13
43.3%
6 4
 
13.3%
) 4
 
13.3%
( 4
 
13.3%
0 2
 
6.7%
, 1
 
3.3%
1 1
 
3.3%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
73.2%
ASCII 30
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
43.3%
6 4
 
13.3%
) 4
 
13.3%
( 4
 
13.3%
0 2
 
6.7%
, 1
 
3.3%
1 1
 
3.3%
2 1
 
3.3%
Hangul
ValueCountFrequency (%)
9
 
11.0%
8
 
9.8%
5
 
6.1%
5
 
6.1%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
Other values (22) 31
37.8%

final_end_dt
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size12.5 KiB

Sample

nopl_idpl_nmsido_nmsgg_nmbemd_nmbeonjihoroad_nmbld_numlogitudelatitudepl_num_spacepl_fee_freeocc_parkoperation_typeresident_day_month_amtresident_night_month_amtresident_allday_month_amtpl_start_timepl_end_timespecificfinal_end_dt
0일련번호주차장고유값주차장명시도명칭시군구명칭법정읍면동명칭번지도로명 이름건물 번호경도위도개방면수무료 개방여부수시주차가능여부운영방식거주자-주간(월)금액거주자-야간(월)금액거주자-전일(월)금액시작시간종료시간특이사항구축기준일
115533775광장동IoT공유주차장서울특별시광진구광장동102NaN아차산로78길75127.11086437.550973100230000200004000000002400<NA>44890
225533773광장동IoT공유주차장서울특별시광진구광장동102NaN아차산로78길75127.11104237.551358100230000200004000000002400<NA>44890
335533772광장동IoT공유주차장서울특별시광진구광장동102NaN아차산로78길75127.11102637.551333100230000200004000000002400<NA>44890
444759402102 노상주차장서울특별시광진구광장동102NaN아차산로78길75127.11110437.551381100230000200004000000002400<NA>44890
554755783102 거주자우선주차장서울특별시광진구광장동102NaN아차산로78길75127.11102237.551256100230000200004000000002400<NA>44890
664755782광장동IoT공유주차장서울특별시광진구광장동102NaN아차산로78길75127.11096237.551097100230000200004000000002400<NA>44890
774755780광장동IoT공유주차장서울특별시광진구광장동102NaN아차산로78길75127.11085437.550945100230000200004000000002400<NA>44890
885533768105 노상주차장서울특별시광진구광장동105NaN아차산로78길63127.1110437.551358100230000200004000000002400<NA>44890
995533767105 노상주차장서울특별시광진구광장동105NaN아차산로78길63127.11107837.551437100230000200004000000002400<NA>44890
nopl_idpl_nmsido_nmsgg_nmbemd_nmbeonjihoroad_nmbld_numlogitudelatitudepl_num_spacepl_fee_freeocc_parkoperation_typeresident_day_month_amtresident_night_month_amtresident_allday_month_amtpl_start_timepl_end_timespecificfinal_end_dt
157515754737529500-14 노상주차장서울특별시광진구화양동50014광나루로20가길5127.07452837.545322100230000200004000000002400<NA>44890
157615765532181526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07512237.538909100230000200004000000002400<NA>44890
157715775532180526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07517337.539253100230000200004000000002400<NA>44890
157815785532179526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07515137.539216100230000200004000000002400<NA>44890
157915795532178526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07513737.539153100230000200004000000002400<NA>44890
158015805532177526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07515137.539111100230000200004000000002400<NA>44890
158115815532176526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07513337.539047100230000200004000000002400<NA>44890
158215825532175526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07512637.539100230000200004000000002400<NA>44890
158315835532174526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07512137.538948100230000200004000000002400<NA>44890
158415845532140526-34 거주자우선주차장서울특별시광진구화양동52634아차산로39길38-7127.07512237.538909100230000200004000000002400<NA>44890

Duplicate rows

Most frequently occurring

pl_nmsido_nmsgg_nmbemd_nmroad_nmspecific# duplicates
191동서울호텔길A공영주차장서울특별시광진구자양동<NA><NA>40
214어린이대공원노상주차장서울특별시광진구능동천호대로124길<NA>35
183광장동IoT공유주차장서울특별시광진구광장동아차산로78길<NA>30
135489-2 거주자우선주차장서울특별시광진구자양동<NA><NA>24
119438-2 거주자우선주차장서울특별시광진구중곡동긴고랑로<NA>20
134482-5 거주자우선주차장서울특별시광진구자양동능동로4길<NA>20
171787 노상주차장서울특별시광진구자양동뚝섬로36가길<NA>20
153611 노상주차장서울특별시광진구구의동광나루로56길<NA>19
162658 노상주차장서울특별시광진구구의동구의강변로<NA>18
17997-1 노상주차장서울특별시광진구자양동강변북로<NA>18