Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory820.3 KiB
Average record size in memory84.0 B

Variable types

Categorical2
Text2
Numeric3
DateTime2

Dataset

Description2021.1.1-2022.3.31 기간의 서울시에 위치하고 있는 한국전력공사의 전기차 충전소의 충전량을 제공합니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15100212/fileData.do

Alerts

충전기용량 is highly overall correlated with 충전구분High correlation
충전구분 is highly overall correlated with 충전기용량High correlation
충전시간 has 3308 (33.1%) zerosZeros
충전분 has 223 (2.2%) zerosZeros

Reproduction

Analysis started2023-12-12 09:30:50.476932
Analysis finished2023-12-12 09:30:52.859410
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
완속
5436 
급속
4564 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완속
2nd row급속
3rd row급속
4th row급속
5th row급속

Common Values

ValueCountFrequency (%)
완속 5436
54.4%
급속 4564
45.6%

Length

2023-12-12T18:30:52.922231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:53.025678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완속 5436
54.4%
급속 4564
45.6%

충전소명
Text

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:30:53.231544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.6345
Min length4

Characters and Unicode

Total characters86345
Distinct characters157
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row한강극동아파트
2nd row천호1동 공영주차장
3rd row길동삼익파크
4th row문정래미안아파트
5th row위례스타힐스
ValueCountFrequency (%)
아파트 2616
 
17.3%
공영주차장 936
 
6.2%
주민센터 619
 
4.1%
리센츠 616
 
4.1%
가락시장 455
 
3.0%
레이크팰리스 444
 
2.9%
송파꿈에그린(위례24단지 407
 
2.7%
천호1동 398
 
2.6%
가락2동 343
 
2.3%
강동송파지사 319
 
2.1%
Other values (81) 7996
52.8%
2023-12-12T18:30:53.654214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
파 7755
 
9.0%
5149
 
6.0%
아 3650
 
4.2%
트 3603
 
4.2%
지 3320
 
3.8%
단 2679
 
3.1%
송 2542
 
2.9%
동 2386
 
2.8%
리 2291
 
2.7%
크 1637
 
1.9%
Other values (147) 51333
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75477
87.4%
Space Separator 5149
 
6.0%
Decimal Number 4677
 
5.4%
Open Punctuation 407
 
0.5%
Close Punctuation 407
 
0.5%
Uppercase Letter 228
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 7755
 
10.3%
아 3650
 
4.8%
트 3603
 
4.8%
지 3320
 
4.4%
단 2679
 
3.5%
송 2542
 
3.4%
동 2386
 
3.2%
리 2291
 
3.0%
크 1637
 
2.2%
주 1620
 
2.1%
Other values (133) 43994
58.3%
Decimal Number
ValueCountFrequency (%)
2 1332
28.5%
1 1200
25.7%
3 653
14.0%
4 572
12.2%
5 332
 
7.1%
9 210
 
4.5%
6 187
 
4.0%
7 141
 
3.0%
0 50
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
S 114
50.0%
G 114
50.0%
Space Separator
ValueCountFrequency (%)
5149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 407
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75477
87.4%
Common 10640
 
12.3%
Latin 228
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 7755
 
10.3%
아 3650
 
4.8%
트 3603
 
4.8%
지 3320
 
4.4%
단 2679
 
3.5%
송 2542
 
3.4%
동 2386
 
3.2%
리 2291
 
3.0%
크 1637
 
2.2%
주 1620
 
2.1%
Other values (133) 43994
58.3%
Common
ValueCountFrequency (%)
5149
48.4%
2 1332
 
12.5%
1 1200
 
11.3%
3 653
 
6.1%
4 572
 
5.4%
( 407
 
3.8%
) 407
 
3.8%
5 332
 
3.1%
9 210
 
2.0%
6 187
 
1.8%
Other values (2) 191
 
1.8%
Latin
ValueCountFrequency (%)
S 114
50.0%
G 114
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75477
87.4%
ASCII 10868
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
파 7755
 
10.3%
아 3650
 
4.8%
트 3603
 
4.8%
지 3320
 
4.4%
단 2679
 
3.5%
송 2542
 
3.4%
동 2386
 
3.2%
리 2291
 
3.0%
크 1637
 
2.2%
주 1620
 
2.1%
Other values (133) 43994
58.3%
ASCII
ValueCountFrequency (%)
5149
47.4%
2 1332
 
12.3%
1 1200
 
11.0%
3 653
 
6.0%
4 572
 
5.3%
( 407
 
3.7%
) 407
 
3.7%
5 332
 
3.1%
9 210
 
1.9%
6 187
 
1.7%
Other values (4) 419
 
3.9%

주소
Text

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:30:53.982649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length20.6384
Min length14

Characters and Unicode

Total characters206384
Distinct characters105
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row서울특별시 송파구 풍납동 토성로 38-6
2nd row서울특별시 강동구 구천면로 42길 60(천호동)
3rd row서울특별시 강동구 길동 명일로 293
4th row서울특별시 송파구 문정동 문정로 83
5th row서울특별시 송파구 장지동 위례광장로 215
ValueCountFrequency (%)
서울특별시 9973
21.8%
송파구 6705
 
14.6%
강동구 3136
 
6.8%
장지동 1304
 
2.8%
올림픽로 833
 
1.8%
가락동 666
 
1.5%
거여동 638
 
1.4%
잠실동 634
 
1.4%
구천면로 633
 
1.4%
양재대로 618
 
1.3%
Other values (143) 20642
45.1%
2023-12-12T18:30:54.493970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35782
17.3%
구 10884
 
5.3%
동 10832
 
5.2%
시 10000
 
4.8%
서 9974
 
4.8%
특 9973
 
4.8%
별 9973
 
4.8%
울 9973
 
4.8%
파 7549
 
3.7%
송 7523
 
3.6%
Other values (95) 83921
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134802
65.3%
Space Separator 35782
 
17.3%
Decimal Number 31911
 
15.5%
Dash Punctuation 1572
 
0.8%
Open Punctuation 1022
 
0.5%
Close Punctuation 1022
 
0.5%
Other Punctuation 273
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10884
 
8.1%
동 10832
 
8.0%
시 10000
 
7.4%
서 9974
 
7.4%
특 9973
 
7.4%
별 9973
 
7.4%
울 9973
 
7.4%
파 7549
 
5.6%
송 7523
 
5.6%
로 7509
 
5.6%
Other values (80) 40612
30.1%
Decimal Number
ValueCountFrequency (%)
1 5626
17.6%
2 4084
12.8%
3 3745
11.7%
5 3554
11.1%
8 3320
10.4%
9 3013
9.4%
4 2489
7.8%
7 2165
 
6.8%
0 2027
 
6.4%
6 1888
 
5.9%
Space Separator
ValueCountFrequency (%)
35782
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1022
100.0%
Other Punctuation
ValueCountFrequency (%)
, 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134802
65.3%
Common 71582
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10884
 
8.1%
동 10832
 
8.0%
시 10000
 
7.4%
서 9974
 
7.4%
특 9973
 
7.4%
별 9973
 
7.4%
울 9973
 
7.4%
파 7549
 
5.6%
송 7523
 
5.6%
로 7509
 
5.6%
Other values (80) 40612
30.1%
Common
ValueCountFrequency (%)
35782
50.0%
1 5626
 
7.9%
2 4084
 
5.7%
3 3745
 
5.2%
5 3554
 
5.0%
8 3320
 
4.6%
9 3013
 
4.2%
4 2489
 
3.5%
7 2165
 
3.0%
0 2027
 
2.8%
Other values (5) 5777
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134802
65.3%
ASCII 71582
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35782
50.0%
1 5626
 
7.9%
2 4084
 
5.7%
3 3745
 
5.2%
5 3554
 
5.0%
8 3320
 
4.6%
9 3013
 
4.2%
4 2489
 
3.5%
7 2165
 
3.0%
0 2027
 
2.8%
Other values (5) 5777
 
8.1%
Hangul
ValueCountFrequency (%)
구 10884
 
8.1%
동 10832
 
8.0%
시 10000
 
7.4%
서 9974
 
7.4%
특 9973
 
7.4%
별 9973
 
7.4%
울 9973
 
7.4%
파 7549
 
5.6%
송 7523
 
5.6%
로 7509
 
5.6%
Other values (80) 40612
30.1%

충전기용량
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
7
5436 
50
4564 

Length

Max length2
Median length1
Mean length1.4564
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row50
3rd row50
4th row50
5th row50

Common Values

ValueCountFrequency (%)
7 5436
54.4%
50 4564
45.6%

Length

2023-12-12T18:30:54.654810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:54.763714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 5436
54.4%
50 4564
45.6%

충전량
Real number (ℝ)

Distinct3952
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.453904
Minimum0.01
Maximum86.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:30:54.903821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile2.349
Q19.54
median17.9
Q333.7
95-th percentile54.6015
Maximum86.25
Range86.24
Interquartile range (IQR)24.16

Descriptive statistics

Standard deviation16.581023
Coefficient of variation (CV)0.73844723
Kurtosis-0.068566319
Mean22.453904
Median Absolute Deviation (MAD)10.7
Skewness0.82845297
Sum224539.04
Variance274.93033
MonotonicityNot monotonic
2023-12-12T18:30:55.052616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 101
 
1.0%
11.4 53
 
0.5%
11.3 46
 
0.5%
11.2 45
 
0.4%
11.5 44
 
0.4%
11.1 44
 
0.4%
11.6 42
 
0.4%
6.6 36
 
0.4%
6.8 34
 
0.3%
11.7 32
 
0.3%
Other values (3942) 9523
95.2%
ValueCountFrequency (%)
0.01 12
 
0.1%
0.02 4
 
< 0.1%
0.03 4
 
< 0.1%
0.04 4
 
< 0.1%
0.05 2
 
< 0.1%
0.06 8
 
0.1%
0.07 2
 
< 0.1%
0.08 5
 
0.1%
0.09 3
 
< 0.1%
0.1 101
1.0%
ValueCountFrequency (%)
86.25 1
< 0.1%
84.03 1
< 0.1%
83.98 1
< 0.1%
83.54 1
< 0.1%
82.28 1
< 0.1%
81.96 1
< 0.1%
80.87 1
< 0.1%
80.02 1
< 0.1%
80.0 1
< 0.1%
79.77 1
< 0.1%

충전시간
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1744
Minimum0
Maximum47
Zeros3308
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:30:55.195179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum47
Range47
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0597256
Coefficient of variation (CV)1.4071586
Kurtosis20.909671
Mean2.1744
Median Absolute Deviation (MAD)1
Skewness3.2450064
Sum21744
Variance9.3619208
MonotonicityNot monotonic
2023-12-12T18:30:55.334267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 3308
33.1%
1 2661
26.6%
2 1087
 
10.9%
3 890
 
8.9%
4 447
 
4.5%
5 388
 
3.9%
6 358
 
3.6%
7 263
 
2.6%
8 173
 
1.7%
9 143
 
1.4%
Other values (23) 282
 
2.8%
ValueCountFrequency (%)
0 3308
33.1%
1 2661
26.6%
2 1087
 
10.9%
3 890
 
8.9%
4 447
 
4.5%
5 388
 
3.9%
6 358
 
3.6%
7 263
 
2.6%
8 173
 
1.7%
9 143
 
1.4%
ValueCountFrequency (%)
47 1
 
< 0.1%
40 2
< 0.1%
39 1
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 4
< 0.1%
23 3
< 0.1%

충전분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.9164
Minimum0
Maximum59
Zeros223
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:30:55.498465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q114
median29
Q344
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.487075
Coefficient of variation (CV)0.60474592
Kurtosis-1.1889282
Mean28.9164
Median Absolute Deviation (MAD)15
Skewness-0.018445297
Sum289164
Variance305.79779
MonotonicityNot monotonic
2023-12-12T18:30:55.660423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 349
 
3.5%
0 223
 
2.2%
42 200
 
2.0%
2 196
 
2.0%
47 193
 
1.9%
23 187
 
1.9%
43 186
 
1.9%
18 186
 
1.9%
37 182
 
1.8%
36 182
 
1.8%
Other values (50) 7916
79.2%
ValueCountFrequency (%)
0 223
2.2%
1 349
3.5%
2 196
2.0%
3 170
1.7%
4 134
 
1.3%
5 161
1.6%
6 134
 
1.3%
7 165
1.7%
8 138
 
1.4%
9 138
 
1.4%
ValueCountFrequency (%)
59 146
1.5%
58 158
1.6%
57 154
1.5%
56 142
1.4%
55 157
1.6%
54 153
1.5%
53 166
1.7%
52 163
1.6%
51 156
1.6%
50 147
1.5%

충전시작시각
Date

Distinct9997
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-31 19:03:21
Maximum2022-03-31 14:28:06
2023-12-12T18:30:55.834926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:56.042916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

충전종료시각
Date

Distinct9995
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:19:27
Maximum2022-03-31 15:10:28
2023-12-12T18:30:56.209415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:56.391798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T18:30:52.128044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.359330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.759655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:52.256039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.480063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.867599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:52.360441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.623734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:51.987105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:56.513726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전구분충전소명주소충전기용량충전량충전시간충전분
충전구분1.0000.9190.9191.0000.3120.3950.077
충전소명0.9191.0001.0000.9190.4000.4330.192
주소0.9191.0001.0000.9190.4000.4330.192
충전기용량1.0000.9190.9191.0000.3120.3950.077
충전량0.3120.4000.4000.3121.0000.4040.329
충전시간0.3950.4330.4330.3950.4041.0000.033
충전분0.0770.1920.1920.0770.3290.0331.000
2023-12-12T18:30:56.628712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기용량충전구분
충전기용량1.0001.000
충전구분1.0001.000
2023-12-12T18:30:56.721116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전량충전시간충전분충전구분충전기용량
충전량1.0000.3690.1390.2390.239
충전시간0.3691.000-0.0950.3950.395
충전분0.139-0.0951.0000.0590.059
충전구분0.2390.3950.0591.0001.000
충전기용량0.2390.3950.0591.0001.000

Missing values

2023-12-12T18:30:52.530374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:30:52.767787image/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

충전구분충전소명주소충전기용량충전량충전시간충전분충전시작시각충전종료시각
54542완속한강극동아파트서울특별시 송파구 풍납동 토성로 38-678.81342021-09-22 14:44:212021-09-22 16:19:02
93377급속천호1동 공영주차장서울특별시 강동구 구천면로 42길 60(천호동)5038.25292022-02-17 18:29:522022-02-17 20:39:27
95215급속길동삼익파크서울특별시 강동구 길동 명일로 2935030.641442022-02-24 19:58:232022-02-24 21:42:23
59810급속문정래미안아파트서울특별시 송파구 문정동 문정로 835050.071112021-10-15 22:45:182021-10-15 23:57:10
44007급속위례스타힐스서울특별시 송파구 장지동 위례광장로 2155049.211522021-08-05 23:13:562021-08-06 01:05:56
72092급속송파파인타운9단지서울특별시 송파구 송파대로 8길 175012.150272021-12-01 15:55:052021-12-01 16:22:46
71670완속갤러리아팰리스서울특별시 송파구 잠실동 40739.365432021-11-30 10:40:002021-11-30 16:23:46
78347완속고덕리엔파크3단지 아파트서울특별시 강동구 상일로 74751.357562021-12-23 18:18:532021-12-24 02:15:07
76187급속마천동1공영주차장서울특별시 송파구 성내천로43길 65013.660422021-12-16 12:07:372021-12-16 12:50:23
37576급속거여2동 주민센터서울특별시 송파구 거여동 195-15027.550522021-07-08 06:21:242021-07-08 07:13:42
충전구분충전소명주소충전기용량충전량충전시간충전분충전시작시각충전종료시각
61765급속송파구청서울특별시 송파구 신천동 29-5 송파구청 앞5033.05152021-10-22 22:35:242021-10-22 23:40:53
93476급속가락시장서울특별시 송파구 양재대로 9325021.631552022-02-17 23:47:422022-02-18 01:43:17
81930급속송파삼성래미안서울특별시 송파구 송파동 오금로32길 145021.720262022-01-06 21:14:442022-01-06 21:40:59
76042완속송파파인타운9단지서울특별시 송파구 송파대로 8길 1774.5152021-12-16 08:44:352021-12-16 09:49:40
28528급속홈플러스 강동점서울특별시 강동구 양재대로 15715026.520412021-05-26 18:49:492021-05-26 19:31:07
29455급속천호1동 공영주차장서울특별시 강동구 구천면로 42길 60(천호동)5019.891152021-05-31 17:04:112021-05-31 18:19:40
50424완속대우한강베네시티 아파트서울특별시 강동구 올림픽로 664737.25372021-09-03 23:27:062021-09-04 05:04:08
94271완속송파파인타운9단지서울특별시 송파구 송파대로 8길 17719.43342022-02-21 08:27:542022-02-21 12:02:51
13048완속리센츠 아파트서울특별시 송파구 올림픽로 135711.21482021-03-03 22:14:592021-03-04 00:03:33
54047완속한강극동아파트서울특별시 송파구 풍납동 토성로 38-6724.212322021-09-18 17:15:412021-09-19 05:48:10