Overview

Dataset statistics

Number of variables31
Number of observations53
Missing cells153
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory262.5 B

Variable types

Text5
Categorical21
Numeric3
Unsupported2

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
결제방법 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
토요일운영시작시각 is highly imbalanced (86.5%)Imbalance
토요일운영종료시각 is highly imbalanced (86.5%)Imbalance
공휴일운영시작시각 is highly imbalanced (76.9%)Imbalance
공휴일운영종료시각 is highly imbalanced (86.5%)Imbalance
월정기권요금 has 53 (100.0%) missing valuesMissing
특기사항 has 47 (88.7%) missing valuesMissing
전화번호 has 53 (100.0%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
월정기권요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 05:52:35.689973
Analysis finished2023-12-11 05:52:36.109101
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:36.323044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters636
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

Unique53 ?
Unique (%)100.0%

Sample

1st row122-1-000004
2nd row122-1-000005
3rd row122-1-000006
4th row122-1-000007
5th row122-1-000008
ValueCountFrequency (%)
122-1-000004 1
 
1.9%
122-2-000008 1
 
1.9%
122-2-000010 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%
122-2-000017 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T14:52:36.783961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 236
37.1%
2 154
24.2%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
83.3%
Dash Punctuation 106
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 236
44.5%
2 154
29.1%
1 103
19.4%
3 8
 
1.5%
4 5
 
0.9%
5 5
 
0.9%
6 5
 
0.9%
7 5
 
0.9%
8 5
 
0.9%
9 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
37.1%
2 154
24.2%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 236
37.1%
2 154
24.2%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%

주차장명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:37.069685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.3773585
Min length3

Characters and Unicode

Total characters338
Distinct characters86
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

Unique53 ?
Unique (%)100.0%

Sample

1st row봉은사로68길
2nd row언주로147길
3rd row도산대로45길
4th row언주로171길
5th row선릉로146길
ValueCountFrequency (%)
부설 2
 
3.6%
봉은사로68길 1
 
1.8%
언주초교 1
 
1.8%
언북초교 1
 
1.8%
논현로32길15 1
 
1.8%
대치2동문화센터 1
 
1.8%
논현초교 1
 
1.8%
도곡초교 1
 
1.8%
신구초교 1
 
1.8%
구룡산제1호 1
 
1.8%
Other values (44) 44
80.0%
2023-12-11T14:52:37.524576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 27
 
8.0%
길 24
 
7.1%
1 17
 
5.0%
2 17
 
5.0%
대 11
 
3.3%
동 10
 
3.0%
3 9
 
2.7%
초 8
 
2.4%
4 8
 
2.4%
교 8
 
2.4%
Other values (76) 199
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
74.0%
Decimal Number 85
 
25.1%
Space Separator 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 27
 
10.8%
길 24
 
9.6%
대 11
 
4.4%
동 10
 
4.0%
초 8
 
3.2%
교 8
 
3.2%
원 6
 
2.4%
도 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 139
55.6%
Decimal Number
ValueCountFrequency (%)
1 17
20.0%
2 17
20.0%
3 9
10.6%
4 8
9.4%
7 7
8.2%
6 7
8.2%
5 7
8.2%
9 5
 
5.9%
0 4
 
4.7%
8 4
 
4.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
74.0%
Common 88
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 27
 
10.8%
길 24
 
9.6%
대 11
 
4.4%
동 10
 
4.0%
초 8
 
3.2%
교 8
 
3.2%
원 6
 
2.4%
도 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 139
55.6%
Common
ValueCountFrequency (%)
1 17
19.3%
2 17
19.3%
3 9
10.2%
4 8
9.1%
7 7
8.0%
6 7
8.0%
5 7
8.0%
9 5
 
5.7%
0 4
 
4.5%
8 4
 
4.5%
Other values (2) 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
74.0%
ASCII 88
 
26.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 27
 
10.8%
길 24
 
9.6%
대 11
 
4.4%
동 10
 
4.0%
초 8
 
3.2%
교 8
 
3.2%
원 6
 
2.4%
도 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 139
55.6%
ASCII
ValueCountFrequency (%)
1 17
19.3%
2 17
19.3%
3 9
10.2%
4 8
9.1%
7 7
8.0%
6 7
8.0%
5 7
8.0%
9 5
 
5.7%
0 4
 
4.5%
8 4
 
4.5%
Other values (2) 3
 
3.4%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
공영
53 

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 53
100.0%

Length

2023-12-11T14:52:37.691685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:37.806702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 53
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
노외
28 
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 28
52.8%
노상 23
43.4%
부설 2
 
3.8%

Length

2023-12-11T14:52:37.904682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:38.012685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 28
52.8%
노상 23
43.4%
부설 2
 
3.8%

소재지도로명주소
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:38.265012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.54717
Min length15

Characters and Unicode

Total characters983
Distinct characters57
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

Unique51 ?
Unique (%)96.2%

Sample

1st row서울특별시 강남구 봉은사로 68길
2nd row서울특별시 강남구 언주로 147길 18
3rd row서울특별시 강남구 도산대로 323
4th row서울특별시 강남구 언주로 857
5th row서울특별시 강남구 선릉로 742
ValueCountFrequency (%)
서울특별시 53
25.1%
강남구 53
25.1%
도곡로 4
 
1.9%
테헤란로 4
 
1.9%
양재대로 4
 
1.9%
논현로 3
 
1.4%
선릉로 3
 
1.4%
삼성로 3
 
1.4%
도산대로 2
 
0.9%
압구정로 2
 
0.9%
Other values (74) 80
37.9%
2023-12-11T14:52:38.795607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.2%
구 56
 
5.7%
남 56
 
5.7%
강 54
 
5.5%
서 53
 
5.4%
울 53
 
5.4%
로 53
 
5.4%
시 53
 
5.4%
별 53
 
5.4%
특 53
 
5.4%
Other values (47) 340
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
64.8%
Decimal Number 185
 
18.8%
Space Separator 159
 
16.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
8.8%
남 56
8.8%
강 54
8.5%
서 53
8.3%
울 53
8.3%
로 53
8.3%
시 53
8.3%
별 53
8.3%
특 53
8.3%
길 28
 
4.4%
Other values (35) 125
19.6%
Decimal Number
ValueCountFrequency (%)
1 36
19.5%
2 32
17.3%
3 22
11.9%
7 16
8.6%
4 16
8.6%
6 15
8.1%
5 14
 
7.6%
8 14
 
7.6%
0 13
 
7.0%
9 7
 
3.8%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
64.8%
Common 346
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
8.8%
남 56
8.8%
강 54
8.5%
서 53
8.3%
울 53
8.3%
로 53
8.3%
시 53
8.3%
별 53
8.3%
특 53
8.3%
길 28
 
4.4%
Other values (35) 125
19.6%
Common
ValueCountFrequency (%)
159
46.0%
1 36
 
10.4%
2 32
 
9.2%
3 22
 
6.4%
7 16
 
4.6%
4 16
 
4.6%
6 15
 
4.3%
5 14
 
4.0%
8 14
 
4.0%
0 13
 
3.8%
Other values (2) 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
64.8%
ASCII 346
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
46.0%
1 36
 
10.4%
2 32
 
9.2%
3 22
 
6.4%
7 16
 
4.6%
4 16
 
4.6%
6 15
 
4.3%
5 14
 
4.0%
8 14
 
4.0%
0 13
 
3.8%
Other values (2) 9
 
2.6%
Hangul
ValueCountFrequency (%)
구 56
8.8%
남 56
8.8%
강 54
8.5%
서 53
8.3%
울 53
8.3%
로 53
8.3%
시 53
8.3%
별 53
8.3%
특 53
8.3%
길 28
 
4.4%
Other values (35) 125
19.6%

소재지지번주소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:39.086781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.301887
Min length15

Characters and Unicode

Total characters970
Distinct characters45
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

Unique53 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 삼성동 123
2nd row서울특별시 강남구 논현동 63-16
3rd row서울특별시 강남구 신사동 651
4th row서울특별시 강남구 신사동 621
5th row서울특별시 강남구 청담동 23-3
ValueCountFrequency (%)
서울특별시 53
25.1%
강남구 53
25.1%
삼성동 9
 
4.3%
개포동 7
 
3.3%
대치동 7
 
3.3%
역삼동 5
 
2.4%
일원동 4
 
1.9%
논현동 4
 
1.9%
신사동 4
 
1.9%
청담동 3
 
1.4%
Other values (59) 62
29.4%
2023-12-11T14:52:39.556308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
16.3%
구 55
 
5.7%
서 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
시 53
 
5.5%
강 53
 
5.5%
남 53
 
5.5%
울 53
 
5.5%
동 53
 
5.5%
Other values (35) 333
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
60.4%
Decimal Number 198
 
20.4%
Space Separator 158
 
16.3%
Dash Punctuation 26
 
2.7%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
9.4%
서 53
9.0%
특 53
9.0%
별 53
9.0%
시 53
9.0%
강 53
9.0%
남 53
9.0%
울 53
9.0%
동 53
9.0%
삼 14
 
2.4%
Other values (21) 93
15.9%
Decimal Number
ValueCountFrequency (%)
1 39
19.7%
2 36
18.2%
6 27
13.6%
4 19
9.6%
3 16
8.1%
5 16
8.1%
7 13
 
6.6%
9 11
 
5.6%
8 11
 
5.6%
0 10
 
5.1%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
60.4%
Common 384
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
9.4%
서 53
9.0%
특 53
9.0%
별 53
9.0%
시 53
9.0%
강 53
9.0%
남 53
9.0%
울 53
9.0%
동 53
9.0%
삼 14
 
2.4%
Other values (21) 93
15.9%
Common
ValueCountFrequency (%)
158
41.1%
1 39
 
10.2%
2 36
 
9.4%
6 27
 
7.0%
- 26
 
6.8%
4 19
 
4.9%
3 16
 
4.2%
5 16
 
4.2%
7 13
 
3.4%
9 11
 
2.9%
Other values (4) 23
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
60.4%
ASCII 384
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
41.1%
1 39
 
10.2%
2 36
 
9.4%
6 27
 
7.0%
- 26
 
6.8%
4 19
 
4.9%
3 16
 
4.2%
5 16
 
4.2%
7 13
 
3.4%
9 11
 
2.9%
Other values (4) 23
 
6.0%
Hangul
ValueCountFrequency (%)
구 55
9.4%
서 53
9.0%
특 53
9.0%
별 53
9.0%
시 53
9.0%
강 53
9.0%
남 53
9.0%
울 53
9.0%
동 53
9.0%
삼 14
 
2.4%
Other values (21) 93
15.9%

위도
Real number (ℝ)

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.500947
Minimum37.46462
Maximum37.530849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:52:39.754567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.46462
5-th percentile37.47354
Q137.4923
median37.500024
Q337.514162
95-th percentile37.524753
Maximum37.530849
Range0.06622908
Interquartile range (IQR)0.02186194

Descriptive statistics

Standard deviation0.016370424
Coefficient of variation (CV)0.00043653362
Kurtosis-0.67240555
Mean37.500947
Median Absolute Deviation (MAD)0.01042191
Skewness-0.24983721
Sum1987.5502
Variance0.00026799078
MonotonicityNot monotonic
2023-12-11T14:52:39.995694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.49769748 2
 
3.8%
37.47713411 2
 
3.8%
37.510305 1
 
1.9%
37.50251815 1
 
1.9%
37.48424796 1
 
1.9%
37.50230515 1
 
1.9%
37.50794521 1
 
1.9%
37.49916315 1
 
1.9%
37.52336119 1
 
1.9%
37.47591587 1
 
1.9%
Other values (41) 41
77.4%
ValueCountFrequency (%)
37.46462041 1
1.9%
37.47031364 1
1.9%
37.4732481 1
1.9%
37.47373397 1
1.9%
37.47591587 1
1.9%
37.47713411 2
3.8%
37.4771978 1
1.9%
37.48424796 1
1.9%
37.48632228 1
1.9%
37.48960227 1
1.9%
ValueCountFrequency (%)
37.53084949 1
1.9%
37.52702053 1
1.9%
37.52684028 1
1.9%
37.52336119 1
1.9%
37.52289811 1
1.9%
37.52138854 1
1.9%
37.51983173 1
1.9%
37.51982009 1
1.9%
37.51791181 1
1.9%
37.51773993 1
1.9%

경도
Real number (ℝ)

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05449
Minimum127.02066
Maximum127.11864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:52:40.236286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02066
5-th percentile127.02656
Q1127.03886
median127.05168
Q3127.06649
95-th percentile127.0878
Maximum127.11864
Range0.0979804
Interquartile range (IQR)0.027626

Descriptive statistics

Standard deviation0.020535257
Coefficient of variation (CV)0.00016162559
Kurtosis0.93869174
Mean127.05449
Median Absolute Deviation (MAD)0.0146645
Skewness0.78210203
Sum6733.8878
Variance0.00042169676
MonotonicityNot monotonic
2023-12-11T14:52:40.440606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0564617 2
 
3.8%
127.0677264 2
 
3.8%
127.050762 1
 
1.9%
127.0303924 1
 
1.9%
127.0434353 1
 
1.9%
127.0641886 1
 
1.9%
127.0258086 1
 
1.9%
127.0552051 1
 
1.9%
127.023993 1
 
1.9%
127.0525105 1
 
1.9%
Other values (41) 41
77.4%
ValueCountFrequency (%)
127.02066 1
1.9%
127.023993 1
1.9%
127.0258086 1
1.9%
127.0270556 1
1.9%
127.0271413 1
1.9%
127.0295515 1
1.9%
127.0303924 1
1.9%
127.0327644 1
1.9%
127.0329826 1
1.9%
127.0332844 1
1.9%
ValueCountFrequency (%)
127.1186404 1
1.9%
127.1055908 1
1.9%
127.0878567 1
1.9%
127.0877666 1
1.9%
127.0818177 1
1.9%
127.0811331 1
1.9%
127.0793184 1
1.9%
127.0780737 1
1.9%
127.0682903 1
1.9%
127.0679169 1
1.9%

주차구획수
Real number (ℝ)

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5283
Minimum9
Maximum987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:52:40.626801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12.6
Q129
median78
Q3169
95-th percentile270
Maximum987
Range978
Interquartile range (IQR)140

Descriptive statistics

Standard deviation146.47651
Coefficient of variation (CV)1.2570038
Kurtosis24.067415
Mean116.5283
Median Absolute Deviation (MAD)51
Skewness4.276411
Sum6176
Variance21455.369
MonotonicityNot monotonic
2023-12-11T14:52:40.792177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
27 2
 
3.8%
29 2
 
3.8%
194 2
 
3.8%
12 2
 
3.8%
100 2
 
3.8%
59 2
 
3.8%
309 1
 
1.9%
192 1
 
1.9%
200 1
 
1.9%
94 1
 
1.9%
Other values (37) 37
69.8%
ValueCountFrequency (%)
9 1
1.9%
12 2
3.8%
13 1
1.9%
17 1
1.9%
21 1
1.9%
22 1
1.9%
23 1
1.9%
26 1
1.9%
27 2
3.8%
28 1
1.9%
ValueCountFrequency (%)
987 1
1.9%
360 1
1.9%
309 1
1.9%
244 1
1.9%
226 1
1.9%
201 1
1.9%
200 1
1.9%
194 2
3.8%
192 1
1.9%
191 1
1.9%

급지구분
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
20 
2
17 
3
9 
4
7 

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 20
37.7%
2 17
32.1%
3 9
17.0%
4 7
 
13.2%

Length

2023-12-11T14:52:40.971297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:41.118468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
37.7%
2 17
32.1%
3 9
17.0%
4 7
 
13.2%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
요일제
53 

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 53
100.0%

Length

2023-12-11T14:52:41.268057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:41.393086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 53
100.0%

운영요일
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
평일
31 
평일+토요일+공휴일
22 

Length

Max length10
Median length2
Mean length5.3207547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 31
58.5%
평일+토요일+공휴일 22
41.5%

Length

2023-12-11T14:52:41.533002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:41.663456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 31
58.5%
평일+토요일+공휴일 22
41.5%

평일운영시작시각
Categorical

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
9:00
29 
0:00
17 
10:00
4 
11:00
 
1
7:00
 
1

Length

Max length5
Median length4
Mean length4.0943396
Min length4

Unique

Unique3 ?
Unique (%)5.7%

Sample

1st row9:00
2nd row9:00
3rd row10:00
4th row9:00
5th row10:00

Common Values

ValueCountFrequency (%)
9:00 29
54.7%
0:00 17
32.1%
10:00 4
 
7.5%
11:00 1
 
1.9%
7:00 1
 
1.9%
6:00 1
 
1.9%

Length

2023-12-11T14:52:41.762906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:41.886539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 29
54.7%
0:00 17
32.1%
10:00 4
 
7.5%
11:00 1
 
1.9%
7:00 1
 
1.9%
6:00 1
 
1.9%

평일운영종료시각
Categorical

Distinct7
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
19:00
26 
0:00
17 
20:00
4 
21:00
 
2
18:00
 
2
Other values (2)
 
2

Length

Max length5
Median length5
Mean length4.6792453
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row19:00
2nd row19:00
3rd row20:00
4th row19:00
5th row20:00

Common Values

ValueCountFrequency (%)
19:00 26
49.1%
0:00 17
32.1%
20:00 4
 
7.5%
21:00 2
 
3.8%
18:00 2
 
3.8%
22:00 1
 
1.9%
23:00 1
 
1.9%

Length

2023-12-11T14:52:42.031939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:42.168269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 26
49.1%
0:00 17
32.1%
20:00 4
 
7.5%
21:00 2
 
3.8%
18:00 2
 
3.8%
22:00 1
 
1.9%
23:00 1
 
1.9%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
52 
9:00
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 52
98.1%
9:00 1
 
1.9%

Length

2023-12-11T14:52:42.317886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:42.425475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 52
98.1%
9:00 1
 
1.9%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
52 
21:00
 
1

Length

Max length5
Median length4
Mean length4.0188679
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 52
98.1%
21:00 1
 
1.9%

Length

2023-12-11T14:52:42.530150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:42.626164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 52
98.1%
21:00 1
 
1.9%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
49 
1:00
 
1
2:00
 
1
3:00
 
1
9:00
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)7.5%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 49
92.5%
1:00 1
 
1.9%
2:00 1
 
1.9%
3:00 1
 
1.9%
9:00 1
 
1.9%

Length

2023-12-11T14:52:42.731096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:43.121112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 49
92.5%
1:00 1
 
1.9%
2:00 1
 
1.9%
3:00 1
 
1.9%
9:00 1
 
1.9%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
52 
21:00
 
1

Length

Max length5
Median length4
Mean length4.0188679
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 52
98.1%
21:00 1
 
1.9%

Length

2023-12-11T14:52:43.278787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:43.393981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 52
98.1%
21:00 1
 
1.9%

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
유료
53 

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 53
100.0%

Length

2023-12-11T14:52:43.557398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:43.681810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 53
100.0%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
5
53 

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 53
100.0%

Length

2023-12-11T14:52:43.820943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:43.948907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 53
100.0%

주차기본요금
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
400
20 
300
17 
200
9 
100
7 

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 20
37.7%
300 17
32.1%
200 9
17.0%
100 7
 
13.2%

Length

2023-12-11T14:52:44.068257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:44.239617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 20
37.7%
300 17
32.1%
200 9
17.0%
100 7
 
13.2%

추가단위시간
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
31 
5
22 

Length

Max length4
Median length4
Mean length2.754717
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
58.5%
5 22
41.5%

Length

2023-12-11T14:52:44.403986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:44.549422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
58.5%
5 22
41.5%

추가단위요금
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
31 
800
12 
600
8 
400
 
2

Length

Max length4
Median length4
Mean length3.5849057
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
58.5%
800 12
 
22.6%
600 8
 
15.1%
400 2
 
3.8%

Length

2023-12-11T14:52:44.748850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:44.910485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
58.5%
800 12
 
22.6%
600 8
 
15.1%
400 2
 
3.8%

1일주차권요금적용시간
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
10
44 
<NA>
9 

Length

Max length4
Median length2
Mean length2.3396226
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10 44
83.0%
<NA> 9
 
17.0%

Length

2023-12-11T14:52:45.070768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:45.210210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 44
83.0%
na 9
 
17.0%

1일주차권요금
Categorical

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
30000
20 
<NA>
9 
24000
8 
25000
7 
18000
7 

Length

Max length5
Median length5
Mean length4.8301887
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30000
2nd row30000
3rd row30000
4th row30000
5th row30000

Common Values

ValueCountFrequency (%)
30000 20
37.7%
<NA> 9
17.0%
24000 8
 
15.1%
25000 7
 
13.2%
18000 7
 
13.2%
16000 2
 
3.8%

Length

2023-12-11T14:52:45.361775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:45.521466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30000 20
37.7%
na 9
17.0%
24000 8
 
15.1%
25000 7
 
13.2%
18000 7
 
13.2%
16000 2
 
3.8%

월정기권요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
카드/현금/무통장/지로
53 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

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
100.0%

Length

2023-12-11T14:52:45.685944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:45.816106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드/현금/무통장/지로 53
100.0%

특기사항
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing47
Missing (%)88.7%
Memory size556.0 B
2023-12-11T14:52:46.003859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters168
Distinct characters23
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

Unique6 ?
Unique (%)100.0%

Sample

1st row월정기 거주자요금 할인/탄천 환승월정기 40000원
2nd row월정기 거주자요금 할인/탄천 환승월정기 40001원
3rd row월정기 거주자요금 할인/탄천 환승월정기 40002원
4th row월정기 거주자요금 할인/탄천 환승월정기 40003원
5th row월정기 거주자요금 할인/탄천 환승월정기 40004원
ValueCountFrequency (%)
월정기 6
20.0%
거주자요금 6
20.0%
할인/탄천 6
20.0%
환승월정기 6
20.0%
40000원 1
 
3.3%
40001원 1
 
3.3%
40002원 1
 
3.3%
40003원 1
 
3.3%
40004원 1
 
3.3%
40005원 1
 
3.3%
2023-12-11T14:52:46.430474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
14.3%
0 19
 
11.3%
월 12
 
7.1%
정 12
 
7.1%
기 12
 
7.1%
4 7
 
4.2%
원 6
 
3.6%
승 6
 
3.6%
환 6
 
3.6%
천 6
 
3.6%
Other values (13) 58
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
64.3%
Decimal Number 30
 
17.9%
Space Separator 24
 
14.3%
Other Punctuation 6
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 12
 
11.1%
정 12
 
11.1%
기 12
 
11.1%
원 6
 
5.6%
승 6
 
5.6%
환 6
 
5.6%
천 6
 
5.6%
탄 6
 
5.6%
인 6
 
5.6%
할 6
 
5.6%
Other values (5) 30
27.8%
Decimal Number
ValueCountFrequency (%)
0 19
63.3%
4 7
 
23.3%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
64.3%
Common 60
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 12
 
11.1%
정 12
 
11.1%
기 12
 
11.1%
원 6
 
5.6%
승 6
 
5.6%
환 6
 
5.6%
천 6
 
5.6%
탄 6
 
5.6%
인 6
 
5.6%
할 6
 
5.6%
Other values (5) 30
27.8%
Common
ValueCountFrequency (%)
24
40.0%
0 19
31.7%
4 7
 
11.7%
/ 6
 
10.0%
1 1
 
1.7%
2 1
 
1.7%
3 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
64.3%
ASCII 60
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
40.0%
0 19
31.7%
4 7
 
11.7%
/ 6
 
10.0%
1 1
 
1.7%
2 1
 
1.7%
3 1
 
1.7%
5 1
 
1.7%
Hangul
ValueCountFrequency (%)
월 12
 
11.1%
정 12
 
11.1%
기 12
 
11.1%
원 6
 
5.6%
승 6
 
5.6%
환 6
 
5.6%
천 6
 
5.6%
탄 6
 
5.6%
인 6
 
5.6%
할 6
 
5.6%
Other values (5) 30
27.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
강남구도시관리공단
53 

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 53
100.0%

Length

2023-12-11T14:52:46.608724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:46.743126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 53
100.0%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2018-04-30
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-04-30
2nd row2018-04-30
3rd row2018-04-30
4th row2018-04-30
5th row2018-04-30

Common Values

ValueCountFrequency (%)
2018-04-30 53
100.0%

Length

2023-12-11T14:52:46.857007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:46.985314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-04-30 53
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소위도경도주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호데이터기준일자
0122-1-000004봉은사로68길공영노상서울특별시 강남구 봉은사로 68길서울특별시 강남구 삼성동 12337.510305127.050762761요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
1122-1-000005언주로147길공영노상서울특별시 강남구 언주로 147길 18서울특별시 강남구 논현동 63-1637.51982127.032764131요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
2122-1-000006도산대로45길공영노상서울특별시 강남구 도산대로 323서울특별시 강남구 신사동 65137.522898127.037017461요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
3122-1-000007언주로171길공영노상서울특별시 강남구 언주로 857서울특별시 강남구 신사동 62137.527021127.032983291요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
4122-1-000008선릉로146길공영노상서울특별시 강남구 선릉로 742서울특별시 강남구 청담동 23-337.521389127.04374331요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
5122-1-000009선릉로132길공영노상서울특별시 강남구 학동로 405서울특별시 강남구 청담동 4237.517912127.043501171요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
6122-1-000010테헤란로64길공영노상서울특별시 강남구 테헤란로 412서울특별시 강남구 대치동 89037.504765127.051259121요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
7122-1-000011영동대로85길공영노상서울특별시 강남구 테헤란로 504서울특별시 강남구 대치동 94237.506627127.057347951요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
8122-1-000012테헤란로26길공영노상서울특별시 강남구 테헤란로 152서울특별시 강남구 역삼동 73737.500024127.036509121요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
9122-1-000013논현로28길공영노상서울특별시 강남구 논현로 30길서울특별시 강남구 도곡동 517-1037.473734127.049102702요일제평일9:0019:000:000:000:000:00유료530056001024000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소위도경도주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호데이터기준일자
43122-2-000024탄천주차장공영노외서울특별시 강남구 봉은사로114길13서울특별시 강남구 삼성동 17137.514114127.0664919874요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40001원강남구도시관리공단<NA>2018-04-30
44122-2-000025대청역공영노외서울특별시 강남구 개포로623-1서울특별시 강남구 개포동 13-237.494916127.0793181694요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40002원강남구도시관리공단<NA>2018-04-30
45122-2-000026일원1동공영노외서울특별시 강남구 양재대로 27길 5서울특별시 강남구 일원동 684-837.489602127.081818644요일제평일+토요일+공휴일6:0023:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40003원강남구도시관리공단<NA>2018-04-30
46122-2-000027영희초교공영노외서울특별시 강남구 일원로21서울특별시 강남구 일원동 61737.4923127.0811331874요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40004원강남구도시관리공단<NA>2018-04-30
47122-2-000028대왕초교공영노외서울특별시 강남구 헌릉로 618길 8서울특별시 강남구 세곡동 122-237.46462127.1055911004요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40005원강남구도시관리공단<NA>2018-04-30
48122-3-000001구청 부설공영부설서울특별시 강남구 학동로426서울특별시 강남구 삼성동 16-1437.51774127.046852012요일제평일9:0018:000:000:000:000:00유료5300<NA><NA><NA><NA><NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
49122-3-000002삼성로별관 부설공영부설서울특별시 강남구 삼성로628서울특별시 강남구 삼성동 6637.515908127.052141452요일제평일9:0018:000:000:000:000:00유료5300<NA><NA><NA><NA><NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
50122-1-000001강남대로150길공영노상서울특별시 강남구 도산대로 108서울특별시 강남구 논현동 137.516199127.0206691요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
51122-1-000002논현로131길공영노상서울특별시 강남구 학동로171서울특별시 강남구 논현동 5837.514048127.029551231요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30
52122-1-000003테헤란로69길공영노상서울특별시 강남구 테헤란로 69길서울특별시 강남구 삼성동 14237.506573127.050902281요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30