Overview

Dataset statistics

Number of variables31
Number of observations54
Missing cells60
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory262.4 B

Variable types

Text4
Categorical14
Numeric5
DateTime7
Unsupported1

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15012/S/1/datasetView.do

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
요금정보 has constant value ""Constant
주차기본시간 has constant value ""Constant
관리기관명 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
결제방법 is highly imbalanced (86.7%)Imbalance
월정기권요금 has 2 (3.7%) missing valuesMissing
특기사항 has 54 (100.0%) missing valuesMissing
위도 has 2 (3.7%) missing valuesMissing
경도 has 2 (3.7%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 19:59:49.567280
Analysis finished2024-04-17 19:59:49.901776
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-18T04:59:50.032366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters648
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row122-1-000005
2nd row122-1-000006
3rd row122-1-000007
4th row122-1-000008
5th row122-1-000009
ValueCountFrequency (%)
122-1-000005 1
 
1.9%
122-2-000018 1
 
1.9%
122-1-000029 1
 
1.9%
122-2-000011 1
 
1.9%
122-2-000012 1
 
1.9%
122-2-000013 1
 
1.9%
122-2-000014 1
 
1.9%
122-2-000015 1
 
1.9%
122-2-000016 1
 
1.9%
122-2-000019 1
 
1.9%
Other values (44) 44
81.5%
2024-04-18T04:59:50.309859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 240
37.0%
2 158
24.4%
- 108
16.7%
1 104
16.0%
3 8
 
1.2%
9 6
 
0.9%
5 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
6 5
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Dash Punctuation 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 240
44.4%
2 158
29.3%
1 104
19.3%
3 8
 
1.5%
9 6
 
1.1%
5 5
 
0.9%
7 5
 
0.9%
8 5
 
0.9%
6 5
 
0.9%
4 4
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 240
37.0%
2 158
24.4%
- 108
16.7%
1 104
16.0%
3 8
 
1.2%
9 6
 
0.9%
5 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
6 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 240
37.0%
2 158
24.4%
- 108
16.7%
1 104
16.0%
3 8
 
1.2%
9 6
 
0.9%
5 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
6 5
 
0.8%

주차장명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-18T04:59:50.503731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.3888889
Min length3

Characters and Unicode

Total characters345
Distinct characters89
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

Unique54 ?
Unique (%)100.0%

Sample

1st row언주로147길
2nd row도산대로45길
3rd row언주로171길
4th row선릉로146길
5th row선릉로132길
ValueCountFrequency (%)
부설 2
 
3.6%
언주로147길 1
 
1.8%
탄천주차장 1
 
1.8%
대치2문화센터 1
 
1.8%
논현초교 1
 
1.8%
도곡초교 1
 
1.8%
신구초교 1
 
1.8%
구룡산제1호 1
 
1.8%
구룡산제2호 1
 
1.8%
포이초교 1
 
1.8%
Other values (45) 45
80.4%
2024-04-18T04:59:50.791958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 28
 
8.1%
길 25
 
7.2%
2 18
 
5.2%
1 17
 
4.9%
대 12
 
3.5%
동 10
 
2.9%
3 9
 
2.6%
초 8
 
2.3%
교 8
 
2.3%
4 8
 
2.3%
Other values (79) 202
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
73.6%
Decimal Number 86
 
24.9%
Space Separator 2
 
0.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 28
 
11.0%
길 25
 
9.8%
대 12
 
4.7%
동 10
 
3.9%
초 8
 
3.1%
교 8
 
3.1%
구 6
 
2.4%
도 6
 
2.4%
논 5
 
2.0%
영 5
 
2.0%
Other values (65) 141
55.5%
Decimal Number
ValueCountFrequency (%)
2 18
20.9%
1 17
19.8%
3 9
10.5%
4 8
9.3%
7 8
9.3%
6 7
 
8.1%
5 7
 
8.1%
8 5
 
5.8%
9 4
 
4.7%
0 3
 
3.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
73.6%
Common 91
 
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 28
 
11.0%
길 25
 
9.8%
대 12
 
4.7%
동 10
 
3.9%
초 8
 
3.1%
교 8
 
3.1%
구 6
 
2.4%
도 6
 
2.4%
논 5
 
2.0%
영 5
 
2.0%
Other values (65) 141
55.5%
Common
ValueCountFrequency (%)
2 18
19.8%
1 17
18.7%
3 9
9.9%
4 8
8.8%
7 8
8.8%
6 7
 
7.7%
5 7
 
7.7%
8 5
 
5.5%
9 4
 
4.4%
0 3
 
3.3%
Other values (4) 5
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
73.6%
ASCII 91
 
26.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 28
 
11.0%
길 25
 
9.8%
대 12
 
4.7%
동 10
 
3.9%
초 8
 
3.1%
교 8
 
3.1%
구 6
 
2.4%
도 6
 
2.4%
논 5
 
2.0%
영 5
 
2.0%
Other values (65) 141
55.5%
ASCII
ValueCountFrequency (%)
2 18
19.8%
1 17
18.7%
3 9
9.9%
4 8
8.8%
7 8
8.8%
6 7
 
7.7%
5 7
 
7.7%
8 5
 
5.5%
9 4
 
4.4%
0 3
 
3.3%
Other values (4) 5
 
5.5%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
공영
54 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 54
100.0%

Length

2024-04-18T04:59:50.896072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:50.965706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 54
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
노외
29 
노상
23 
부설
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 29
53.7%
노상 23
42.6%
부설 2
 
3.7%

Length

2024-04-18T04:59:51.036115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:51.111006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 29
53.7%
노상 23
42.6%
부설 2
 
3.7%

소재지도로명주소
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-18T04:59:51.318696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.611111
Min length15

Characters and Unicode

Total characters1005
Distinct characters56
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

Unique50 ?
Unique (%)92.6%

Sample

1st row서울특별시 강남구 언주로 147길 18
2nd row서울특별시 강남구 도산대로 323
3rd row서울특별시 강남구 언주로 857
4th row서울특별시 강남구 선릉로 742
5th row서울특별시 강남구 학동로 405
ValueCountFrequency (%)
서울특별시 54
25.7%
강남구 54
25.7%
양재대로 4
 
1.9%
도곡로 3
 
1.4%
테헤란로 3
 
1.4%
선릉로 3
 
1.4%
삼성로 3
 
1.4%
언주로 2
 
1.0%
32 2
 
1.0%
33 2
 
1.0%
Other values (76) 80
38.1%
2024-04-18T04:59:51.627083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
15.5%
남 57
 
5.7%
구 57
 
5.7%
강 55
 
5.5%
서 54
 
5.4%
로 54
 
5.4%
특 54
 
5.4%
별 54
 
5.4%
시 54
 
5.4%
울 54
 
5.4%
Other values (46) 356
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
64.7%
Decimal Number 196
 
19.5%
Space Separator 156
 
15.5%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 57
8.8%
구 57
8.8%
강 55
8.5%
서 54
8.3%
로 54
8.3%
특 54
8.3%
별 54
8.3%
시 54
8.3%
울 54
8.3%
길 29
 
4.5%
Other values (34) 128
19.7%
Decimal Number
ValueCountFrequency (%)
2 37
18.9%
1 35
17.9%
3 26
13.3%
5 18
9.2%
7 17
8.7%
8 16
8.2%
4 15
7.7%
6 15
7.7%
0 13
 
6.6%
9 4
 
2.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
64.7%
Common 355
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 57
8.8%
구 57
8.8%
강 55
8.5%
서 54
8.3%
로 54
8.3%
특 54
8.3%
별 54
8.3%
시 54
8.3%
울 54
8.3%
길 29
 
4.5%
Other values (34) 128
19.7%
Common
ValueCountFrequency (%)
156
43.9%
2 37
 
10.4%
1 35
 
9.9%
3 26
 
7.3%
5 18
 
5.1%
7 17
 
4.8%
8 16
 
4.5%
4 15
 
4.2%
6 15
 
4.2%
0 13
 
3.7%
Other values (2) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
64.7%
ASCII 355
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
43.9%
2 37
 
10.4%
1 35
 
9.9%
3 26
 
7.3%
5 18
 
5.1%
7 17
 
4.8%
8 16
 
4.5%
4 15
 
4.2%
6 15
 
4.2%
0 13
 
3.7%
Other values (2) 7
 
2.0%
Hangul
ValueCountFrequency (%)
남 57
8.8%
구 57
8.8%
강 55
8.5%
서 54
8.3%
로 54
8.3%
특 54
8.3%
별 54
8.3%
시 54
8.3%
울 54
8.3%
길 29
 
4.5%
Other values (34) 128
19.7%

소재지지번주소
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-18T04:59:51.805145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.037037
Min length15

Characters and Unicode

Total characters974
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row서울특별시 강남구 논현동 63-16
2nd row서울특별시 강남구 신사동 651
3rd row서울특별시 강남구 신사동 621
4th row서울특별시 강남구 청담동 23-4
5th row서울특별시 강남구 청담동 42
ValueCountFrequency (%)
서울특별시 54
25.0%
강남구 54
25.0%
대치동 11
 
5.1%
개포동 8
 
3.7%
삼성동 8
 
3.7%
역삼동 5
 
2.3%
논현동 4
 
1.9%
신사동 4
 
1.9%
일원동 4
 
1.9%
청담동 3
 
1.4%
Other values (56) 61
28.2%
2024-04-18T04:59:52.112869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
16.6%
구 56
 
5.7%
서 54
 
5.5%
특 54
 
5.5%
별 54
 
5.5%
시 54
 
5.5%
강 54
 
5.5%
남 54
 
5.5%
울 54
 
5.5%
동 54
 
5.5%
Other values (33) 324
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
61.2%
Decimal Number 192
 
19.7%
Space Separator 162
 
16.6%
Dash Punctuation 23
 
2.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
9.4%
서 54
9.1%
특 54
9.1%
별 54
9.1%
시 54
9.1%
강 54
9.1%
남 54
9.1%
울 54
9.1%
동 54
9.1%
삼 13
 
2.2%
Other values (20) 95
15.9%
Decimal Number
ValueCountFrequency (%)
1 42
21.9%
2 32
16.7%
6 25
13.0%
7 15
 
7.8%
5 15
 
7.8%
3 15
 
7.8%
4 13
 
6.8%
0 13
 
6.8%
8 11
 
5.7%
9 11
 
5.7%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
61.2%
Common 378
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
9.4%
서 54
9.1%
특 54
9.1%
별 54
9.1%
시 54
9.1%
강 54
9.1%
남 54
9.1%
울 54
9.1%
동 54
9.1%
삼 13
 
2.2%
Other values (20) 95
15.9%
Common
ValueCountFrequency (%)
162
42.9%
1 42
 
11.1%
2 32
 
8.5%
6 25
 
6.6%
- 23
 
6.1%
7 15
 
4.0%
5 15
 
4.0%
3 15
 
4.0%
4 13
 
3.4%
0 13
 
3.4%
Other values (3) 23
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
61.2%
ASCII 378
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
42.9%
1 42
 
11.1%
2 32
 
8.5%
6 25
 
6.6%
- 23
 
6.1%
7 15
 
4.0%
5 15
 
4.0%
3 15
 
4.0%
4 13
 
3.4%
0 13
 
3.4%
Other values (3) 23
 
6.1%
Hangul
ValueCountFrequency (%)
구 56
9.4%
서 54
9.1%
특 54
9.1%
별 54
9.1%
시 54
9.1%
강 54
9.1%
남 54
9.1%
울 54
9.1%
동 54
9.1%
삼 13
 
2.2%
Other values (20) 95
15.9%

주차구획수
Real number (ℝ)

Distinct49
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.33333
Minimum7
Maximum926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-18T04:59:52.225423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12
Q126.75
median71
Q3165.5
95-th percentile259.3
Maximum926
Range919
Interquartile range (IQR)138.75

Descriptive statistics

Standard deviation139.16123
Coefficient of variation (CV)1.2499512
Kurtosis22.030137
Mean111.33333
Median Absolute Deviation (MAD)49
Skewness4.0309712
Sum6012
Variance19365.849
MonotonicityNot monotonic
2024-04-18T04:59:52.325561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
21 2
 
3.7%
12 2
 
3.7%
26 2
 
3.7%
225 2
 
3.7%
22 2
 
3.7%
926 1
 
1.9%
185 1
 
1.9%
92 1
 
1.9%
132 1
 
1.9%
190 1
 
1.9%
Other values (39) 39
72.2%
ValueCountFrequency (%)
7 1
1.9%
10 1
1.9%
12 2
3.7%
14 1
1.9%
16 1
1.9%
17 1
1.9%
21 2
3.7%
22 2
3.7%
25 1
1.9%
26 2
3.7%
ValueCountFrequency (%)
926 1
1.9%
343 1
1.9%
323 1
1.9%
225 2
3.7%
201 1
1.9%
200 1
1.9%
192 1
1.9%
191 1
1.9%
190 1
1.9%
187 1
1.9%

급지구분
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
21 
2
16 
3
9 
4
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
38.9%
2 16
29.6%
3 9
16.7%
4 8
 
14.8%

Length

2024-04-18T04:59:52.417408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:52.491872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
38.9%
2 16
29.6%
3 9
16.7%
4 8
 
14.8%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
요일제
54 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요일제 54
100.0%

Length

2024-04-18T04:59:52.568860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:52.632416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 54
100.0%

운영요일
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
평일
34 
평일+토요일+공휴일
20 

Length

Max length10
Median length2
Mean length4.962963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 34
63.0%
평일+토요일+공휴일 20
37.0%

Length

2024-04-18T04:59:52.712652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:52.790260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 34
63.0%
평일+토요일+공휴일 20
37.0%

평일운영시작시각
Date

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 00:00:00
Maximum2024-04-18 11:00:00
2024-04-18T04:59:52.849229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:52.927502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

평일운영종료시각
Date

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 18:00:00
Maximum2024-04-18 23:59:00
2024-04-18T04:59:53.006841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:53.077087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

토요일운영시작시각
Date

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 00:00:00
Maximum2024-04-18 09:00:00
2024-04-18T04:59:53.139880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:53.208088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

토요일운영종료시각
Date

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 21:00:00
Maximum2024-04-18 23:59:00
2024-04-18T04:59:53.284699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:53.379402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

공휴일운영시작시각
Date

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 00:00:00
Maximum2024-04-18 09:00:00
2024-04-18T04:59:53.463547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:53.537026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

공휴일운영종료시각
Date

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-18 21:00:00
Maximum2024-04-18 23:59:00
2024-04-18T04:59:53.612105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:53.685012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
유료
54 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 54
100.0%

Length

2024-04-18T04:59:53.764612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:53.842203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 54
100.0%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
5
54 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 54
100.0%

Length

2024-04-18T04:59:53.929677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:54.012254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 54
100.0%

주차기본요금
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
400
21 
300
16 
200
9 
100
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row400
2nd row400
3rd row400
4th row400
5th row400

Common Values

ValueCountFrequency (%)
400 21
38.9%
300 16
29.6%
200 9
16.7%
100 8
 
14.8%

Length

2024-04-18T04:59:54.100077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:54.191180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 21
38.9%
300 16
29.6%
200 9
16.7%
100 8
 
14.8%

추가단위시간
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
31 
5
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
0 31
57.4%
5 23
42.6%

Length

2024-04-18T04:59:54.277511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:54.346816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
57.4%
5 23
42.6%

추가단위요금
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
31 
800
13 
600
7 
400
 
2
100
 
1

Length

Max length3
Median length1
Mean length1.8518519
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row800
2nd row800
3rd row800
4th row800
5th row800

Common Values

ValueCountFrequency (%)
0 31
57.4%
800 13
24.1%
600 7
 
13.0%
400 2
 
3.7%
100 1
 
1.9%

Length

2024-04-18T04:59:54.428483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:54.514436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
57.4%
800 13
24.1%
600 7
 
13.0%
400 2
 
3.7%
100 1
 
1.9%

1일주차권요금적용시간
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
10
45 
0
9 

Length

Max length2
Median length2
Mean length1.8333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 45
83.3%
0 9
 
16.7%

Length

2024-04-18T04:59:54.597319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:54.670140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 45
83.3%
0 9
 
16.7%

1일주차권요금
Real number (ℝ)

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23611.111
Minimum10000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-18T04:59:54.734805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile12000
Q118000
median25000
Q330000
95-th percentile30000
Maximum30000
Range20000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation6645.8007
Coefficient of variation (CV)0.28146921
Kurtosis-0.90039157
Mean23611.111
Median Absolute Deviation (MAD)5000
Skewness-0.67399798
Sum1275000
Variance44166667
MonotonicityNot monotonic
2024-04-18T04:59:54.813267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
30000 21
38.9%
25000 9
16.7%
24000 7
 
13.0%
18000 7
 
13.0%
12000 7
 
13.0%
16000 2
 
3.7%
10000 1
 
1.9%
ValueCountFrequency (%)
10000 1
 
1.9%
12000 7
 
13.0%
16000 2
 
3.7%
18000 7
 
13.0%
24000 7
 
13.0%
25000 9
16.7%
30000 21
38.9%
ValueCountFrequency (%)
30000 21
38.9%
25000 9
16.7%
24000 7
 
13.0%
18000 7
 
13.0%
16000 2
 
3.7%
12000 7
 
13.0%
10000 1
 
1.9%

월정기권요금
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)13.5%
Missing2
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean146730.77
Minimum50000
Maximum280000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-18T04:59:54.891659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile70000
Q1120000
median150000
Q3180000
95-th percentile280000
Maximum280000
Range230000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation60414.294
Coefficient of variation (CV)0.41173568
Kurtosis0.59125217
Mean146730.77
Median Absolute Deviation (MAD)30000
Skewness0.88821297
Sum7630000
Variance3.6498869 × 109
MonotonicityNot monotonic
2024-04-18T04:59:54.962422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
120000 14
25.9%
150000 13
24.1%
180000 9
16.7%
70000 7
13.0%
280000 6
11.1%
80000 2
 
3.7%
50000 1
 
1.9%
(Missing) 2
 
3.7%
ValueCountFrequency (%)
50000 1
 
1.9%
70000 7
13.0%
80000 2
 
3.7%
120000 14
25.9%
150000 13
24.1%
180000 9
16.7%
280000 6
11.1%
ValueCountFrequency (%)
280000 6
11.1%
180000 9
16.7%
150000 13
24.1%
120000 14
25.9%
80000 2
 
3.7%
70000 7
13.0%
50000 1
 
1.9%

결제방법
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
카드/현금/무통장/지로
53 
카드
 
1

Length

Max length12
Median length12
Mean length11.814815
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row카드/현금/무통장/지로
2nd row카드/현금/무통장/지로
3rd row카드/현금/무통장/지로
4th row카드/현금/무통장/지로
5th row카드/현금/무통장/지로

Common Values

ValueCountFrequency (%)
카드/현금/무통장/지로 53
98.1%
카드 1
 
1.9%

Length

2024-04-18T04:59:55.045631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:55.119253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드/현금/무통장/지로 53
98.1%
카드 1
 
1.9%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
강남구도시관리공단
54 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구도시관리공단 54
100.0%

Length

2024-04-18T04:59:55.194464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:55.260134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 54
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
1544-3113
54 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1544-3113
2nd row1544-3113
3rd row1544-3113
4th row1544-3113
5th row1544-3113

Common Values

ValueCountFrequency (%)
1544-3113 54
100.0%

Length

2024-04-18T04:59:55.611626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:55.676132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1544-3113 54
100.0%

위도
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing2
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.501585
Minimum37.464621
Maximum37.530846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-18T04:59:55.749072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.464621
5-th percentile37.475999
Q137.491653
median37.501166
Q337.514744
95-th percentile37.524928
Maximum37.530846
Range0.06622478
Interquartile range (IQR)0.02309067

Descriptive statistics

Standard deviation0.016288055
Coefficient of variation (CV)0.00043432977
Kurtosis-0.72889516
Mean37.501585
Median Absolute Deviation (MAD)0.012913545
Skewness-0.22103003
Sum1950.0824
Variance0.00026530072
MonotonicityNot monotonic
2024-04-18T04:59:55.848493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.47606698 2
 
3.7%
37.49491581 2
 
3.7%
37.47713886 1
 
1.9%
37.48425211 1
 
1.9%
37.50230604 1
 
1.9%
37.50849066 1
 
1.9%
37.4995106 1
 
1.9%
37.5233613 1
 
1.9%
37.47591562 1
 
1.9%
37.48202648 1
 
1.9%
Other values (40) 40
74.1%
(Missing) 2
 
3.7%
ValueCountFrequency (%)
37.46462136 1
1.9%
37.47031418 1
1.9%
37.47591562 1
1.9%
37.47606698 2
3.7%
37.47713886 1
1.9%
37.48202648 1
1.9%
37.48363566 1
1.9%
37.48425211 1
1.9%
37.48632308 1
1.9%
37.489263 1
1.9%
ValueCountFrequency (%)
37.53084614 1
1.9%
37.5270208 1
1.9%
37.52684211 1
1.9%
37.5233613 1
1.9%
37.52289662 1
1.9%
37.52174613 1
1.9%
37.52138784 1
1.9%
37.52012607 1
1.9%
37.51982005 1
1.9%
37.51796636 1
1.9%

경도
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing2
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean127.0537
Minimum127.02065
Maximum127.11864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-18T04:59:55.956964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02065
5-th percentile127.02645
Q1127.03696
median127.05146
Q3127.06606
95-th percentile127.08449
Maximum127.11864
Range0.0979837
Interquartile range (IQR)0.029101925

Descriptive statistics

Standard deviation0.020962683
Coefficient of variation (CV)0.00016499073
Kurtosis0.80520414
Mean127.0537
Median Absolute Deviation (MAD)0.0145623
Skewness0.78425163
Sum6606.7923
Variance0.00043943408
MonotonicityNot monotonic
2024-04-18T04:59:56.062295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.067285 2
 
3.7%
127.0793202 2
 
3.7%
127.0497488 1
 
1.9%
127.0434399 1
 
1.9%
127.0641871 1
 
1.9%
127.0262217 1
 
1.9%
127.0544636 1
 
1.9%
127.0239915 1
 
1.9%
127.0525106 1
 
1.9%
127.0484224 1
 
1.9%
Other values (40) 40
74.1%
(Missing) 2
 
3.7%
ValueCountFrequency (%)
127.0206546 1
1.9%
127.0239915 1
1.9%
127.0262217 1
1.9%
127.0266426 1
1.9%
127.0270562 1
1.9%
127.0271391 1
1.9%
127.0295491 1
1.9%
127.0303905 1
1.9%
127.0327639 1
1.9%
127.0329843 1
1.9%
ValueCountFrequency (%)
127.1186383 1
1.9%
127.1055895 1
1.9%
127.0877676 1
1.9%
127.0818109 1
1.9%
127.0817931 1
1.9%
127.0811312 1
1.9%
127.0793202 2
3.7%
127.0682922 1
1.9%
127.0680522 1
1.9%
127.067285 2
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2020-08-28 00:00:00
Maximum2020-08-28 00:00:00
2024-04-18T04:59:56.141125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:56.208312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0122-1-000005언주로147길공영노상서울특별시 강남구 언주로 147길 18서울특별시 강남구 논현동 63-16141요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.51982127.0327642020-08-28
1122-1-000006도산대로45길공영노상서울특별시 강남구 도산대로 323서울특별시 강남구 신사동 651461요일제평일10:0020:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.522897127.0370142020-08-28
2122-1-000007언주로171길공영노상서울특별시 강남구 언주로 857서울특별시 강남구 신사동 621301요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.527021127.0329842020-08-28
3122-1-000008선릉로146길공영노상서울특별시 강남구 선릉로 742서울특별시 강남구 청담동 23-4321요일제평일10:0020:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.521388127.0437382020-08-28
4122-1-000009선릉로132길공영노상서울특별시 강남구 학동로 405서울특별시 강남구 청담동 42171요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.517784127.042362020-08-28
5122-1-000010테헤란로64길공영노상서울특별시 강남구 테헤란로 412서울특별시 강남구 대치동 890121요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.504763127.0512582020-08-28
6122-1-000011영동대로85길공영노상서울특별시 강남구 테헤란로 504서울특별시 강남구 대치동 942741요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.506627127.0573462020-08-28
7122-1-000012테헤란로26길공영노상서울특별시 강남구 테헤란로 152서울특별시 강남구 역삼동 737121요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.500026127.036512020-08-28
8122-1-000013논현로28길공영노상서울특별시 강남구 논현로28길 25서울특별시 강남구 도곡동 517-10662요일제평일9:0019:000:0023:590:0023:59유료530056001024000120000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.483636127.043862020-08-28
9122-1-000014영동대로106길공영노상서울특별시 강남구 영동대로106길33서울특별시 강남구 삼성동 162-23622요일제평일9:0019:000:0023:590:0023:59유료530056001024000120000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.514163127.0638492020-08-28
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
44122-2-000024영희초교공영노외서울특별시 강남구 일원로21서울특별시 강남구 일원동 6171874요일제평일+토요일+공휴일0:0023:590:0023:590:0023:59유료51000001200070000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.492302127.0811312020-08-28
45122-2-000028대왕초교공영노외서울특별시 강남구 헌릉로 618길 8서울특별시 강남구 세곡동 5171004요일제평일0:0023:590:0023:590:0023:59유료51000001200070000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.464621127.1055892020-08-28
46122-3-000001구청 부설공영부설서울특별시 강남구 학동로426서울특별시 강남구 삼성동 16-12012요일제평일9:0018:000:0023:590:0023:59유료530000025000180000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.517966127.0470612020-08-28
47122-3-000002삼성로별관 부설공영부설서울특별시 강남구 삼성로628서울특별시 강남구 삼성동 66452요일제평일9:0018:000:0023:590:0023:59유료530000025000180000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.51591127.0521412020-08-28
48122-1-000001강남대로150길공영노상서울특별시 강남구 도산대로 108서울특별시 강남구 논현동 171요일제평일10:0020:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.516194127.0206552020-08-28
49122-1-000002논현로131길공영노상서울특별시 강남구 학동로171서울특별시 강남구 논현동 58211요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.514047127.0295492020-08-28
50122-1-000003테헤란로69길공영노상서울특별시 강남구 테헤란로63길 20서울특별시 강남구 삼성동 142221요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-311337.506522127.0503972020-08-28
51122-2-000026밤고개로21길공영노외서울특별시 강남구 개포로623-1서울특별시 강남구 개포동 13-21104요일제평일+토요일+공휴일0:0023:590:0023:590:0023:59유료51000001200070000카드<NA>강남구도시관리공단1544-311337.494916127.079322020-08-28
52122-1-000029영동대로86길공영노상서울특별시 강남구 영동대로86길서울특별시 강남구 대치동 1012-22161요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2020-08-28
53122-1-000030테헤란로78길공영노상서울특별시 강남구 테헤란로78길서울특별시 강남구 대치동 1011-6101요일제평일9:0019:000:0023:590:0023:59유료540058001030000150000카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2020-08-28