Overview

Dataset statistics

Number of variables31
Number of observations41
Missing cells39
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory262.2 B

Variable types

Text5
Categorical13
Numeric6
DateTime7

Dataset

Description중구 관내에 있는 공영(노상, 노외)주차장에 대한 정보로 공영주차장의 이름, 위치, 주소, 주차면수, 요금 정보 등을 제공합니다.
URLhttps://www.data.go.kr/data/15112756/fileData.do

Alerts

주차장구분 has constant value ""Constant
공휴일운영시작시각 has constant value ""Constant
요금정보 has constant value ""Constant
주차기본시간 has constant value ""Constant
추가단위시간 has constant value ""Constant
특기사항 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
1일주차권요금적용시간 is highly imbalanced (79.2%)Imbalance
1일주차권요금 is highly imbalanced (71.9%)Imbalance
특기사항 has 39 (95.1%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
주차기본요금 has 1 (2.4%) zerosZeros
추가단위요금 has 1 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-12 16:55:55.361396
Analysis finished2023-12-12 16:55:55.817118
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T01:55:55.984268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row101-3-000001
2nd row101-1-000002
3rd row101-1-000004
4th row101-1-000005
5th row101-1-000006
ValueCountFrequency (%)
101-3-000001 1
 
2.4%
101-2-000004 1
 
2.4%
101-2-000006 1
 
2.4%
101-2-000007 1
 
2.4%
101-2-000008 1
 
2.4%
101-2-000009 1
 
2.4%
101-2-000010 1
 
2.4%
101-2-000011 1
 
2.4%
101-2-000012 1
 
2.4%
101-2-000013 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T01:55:56.357713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 224
45.5%
1 122
24.8%
- 82
 
16.7%
2 35
 
7.1%
4 6
 
1.2%
5 5
 
1.0%
3 4
 
0.8%
7 4
 
0.8%
8 4
 
0.8%
6 3
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 224
54.6%
1 122
29.8%
2 35
 
8.5%
4 6
 
1.5%
5 5
 
1.2%
3 4
 
1.0%
7 4
 
1.0%
8 4
 
1.0%
6 3
 
0.7%
9 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 224
45.5%
1 122
24.8%
- 82
 
16.7%
2 35
 
7.1%
4 6
 
1.2%
5 5
 
1.0%
3 4
 
0.8%
7 4
 
0.8%
8 4
 
0.8%
6 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 224
45.5%
1 122
24.8%
- 82
 
16.7%
2 35
 
7.1%
4 6
 
1.2%
5 5
 
1.0%
3 4
 
0.8%
7 4
 
0.8%
8 4
 
0.8%
6 3
 
0.6%

주차장명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T01:55:56.597134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.878049
Min length8

Characters and Unicode

Total characters446
Distinct characters115
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

Unique41 ?
Unique (%)100.0%

Sample

1st row중구구민회관 부설주차장
2nd row삼풍상가 공영주차장
3rd row다동쉼터 공영주차장
4th row해운센터앞 공영주차장
5th row뉴국제호텔앞 공영주차장
ValueCountFrequency (%)
공영주차장 40
47.6%
중구구민회관 1
 
1.2%
장충 1
 
1.2%
성곽 1
 
1.2%
약수동 1
 
1.2%
문화 1
 
1.2%
필동 1
 
1.2%
다산동 1
 
1.2%
청구 1
 
1.2%
버티 1
 
1.2%
Other values (35) 35
41.7%
2023-12-13T01:55:57.069000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 48
 
10.8%
43
 
9.6%
장 43
 
9.6%
차 41
 
9.2%
주 41
 
9.2%
영 40
 
9.0%
동 8
 
1.8%
원 7
 
1.6%
앞 6
 
1.3%
옆 5
 
1.1%
Other values (105) 164
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
90.1%
Space Separator 43
 
9.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 48
 
11.9%
장 43
 
10.7%
차 41
 
10.2%
주 41
 
10.2%
영 40
 
10.0%
동 8
 
2.0%
원 7
 
1.7%
앞 6
 
1.5%
옆 5
 
1.2%
상 4
 
1.0%
Other values (103) 159
39.6%
Space Separator
ValueCountFrequency (%)
43
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
90.1%
Common 44
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 48
 
11.9%
장 43
 
10.7%
차 41
 
10.2%
주 41
 
10.2%
영 40
 
10.0%
동 8
 
2.0%
원 7
 
1.7%
앞 6
 
1.5%
옆 5
 
1.2%
상 4
 
1.0%
Other values (103) 159
39.6%
Common
ValueCountFrequency (%)
43
97.7%
4 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
90.1%
ASCII 44
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 48
 
11.9%
장 43
 
10.7%
차 41
 
10.2%
주 41
 
10.2%
영 40
 
10.0%
동 8
 
2.0%
원 7
 
1.7%
앞 6
 
1.5%
옆 5
 
1.2%
상 4
 
1.0%
Other values (103) 159
39.6%
ASCII
ValueCountFrequency (%)
43
97.7%
4 1
 
2.3%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
공영
41 

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 41
100.0%

Length

2023-12-13T01:55:57.244681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:55:57.371976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 41
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
노외
22 
노상
18 
부설
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
노외 22
53.7%
노상 18
43.9%
부설 1
 
2.4%

Length

2023-12-13T01:55:57.482398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:55:57.619686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 22
53.7%
노상 18
43.9%
부설 1
 
2.4%

소재지도로명주소
Text

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T01:55:57.881658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.292683
Min length15

Characters and Unicode

Total characters709
Distinct characters48
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

Unique32 ?
Unique (%)78.0%

Sample

1st row서울특별시 중구 을지로39길 40
2nd row서울특별시 중구 을지로 158
3rd row서울특별시 중구 다동길 11
4th row서울특별시 중구 소공로 93-1
5th row서울특별시 중구 세종대로22길 12
ValueCountFrequency (%)
서울특별시 41
25.0%
중구 41
25.0%
23 8
 
4.9%
세종대로 7
 
4.3%
11 3
 
1.8%
동호로17길 3
 
1.8%
동호로11나길 2
 
1.2%
47 2
 
1.2%
동호로12길 2
 
1.2%
67 2
 
1.2%
Other values (50) 53
32.3%
2023-12-13T01:55:58.362532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
17.3%
구 42
 
5.9%
서 41
 
5.8%
중 41
 
5.8%
울 41
 
5.8%
시 41
 
5.8%
특 41
 
5.8%
별 41
 
5.8%
로 40
 
5.6%
1 30
 
4.2%
Other values (38) 228
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
63.5%
Decimal Number 134
 
18.9%
Space Separator 123
 
17.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
9.3%
서 41
9.1%
중 41
9.1%
울 41
9.1%
시 41
9.1%
특 41
9.1%
별 41
9.1%
로 40
8.9%
길 25
 
5.6%
동 11
 
2.4%
Other values (26) 86
19.1%
Decimal Number
ValueCountFrequency (%)
1 30
22.4%
2 23
17.2%
3 17
12.7%
4 16
11.9%
7 12
 
9.0%
0 10
 
7.5%
9 8
 
6.0%
5 7
 
5.2%
8 7
 
5.2%
6 4
 
3.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
63.5%
Common 259
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
9.3%
서 41
9.1%
중 41
9.1%
울 41
9.1%
시 41
9.1%
특 41
9.1%
별 41
9.1%
로 40
8.9%
길 25
 
5.6%
동 11
 
2.4%
Other values (26) 86
19.1%
Common
ValueCountFrequency (%)
123
47.5%
1 30
 
11.6%
2 23
 
8.9%
3 17
 
6.6%
4 16
 
6.2%
7 12
 
4.6%
0 10
 
3.9%
9 8
 
3.1%
5 7
 
2.7%
8 7
 
2.7%
Other values (2) 6
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
63.5%
ASCII 259
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
47.5%
1 30
 
11.6%
2 23
 
8.9%
3 17
 
6.6%
4 16
 
6.2%
7 12
 
4.6%
0 10
 
3.9%
9 8
 
3.1%
5 7
 
2.7%
8 7
 
2.7%
Other values (2) 6
 
2.3%
Hangul
ValueCountFrequency (%)
구 42
9.3%
서 41
9.1%
중 41
9.1%
울 41
9.1%
시 41
9.1%
특 41
9.1%
별 41
9.1%
로 40
8.9%
길 25
 
5.6%
동 11
 
2.4%
Other values (26) 86
19.1%

소재지지번주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T01:55:58.627888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.707317
Min length15

Characters and Unicode

Total characters767
Distinct characters52
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

Unique39 ?
Unique (%)95.1%

Sample

1st row서울특별시 중구 을지로6가 18-14
2nd row서울특별시 중구 인현동1가 2-13
3rd row서울특별시 중구 다동 46-1
4th row서울특별시 중구 소공동 59
5th row서울특별시 중구 태평로1가 29-5
ValueCountFrequency (%)
서울특별시 41
25.0%
중구 41
25.0%
신당동 16
 
9.8%
다동 3
 
1.8%
을지로6가 2
 
1.2%
서소문동 2
 
1.2%
432-462 2
 
1.2%
소공동 2
 
1.2%
태평로1가 2
 
1.2%
남대문로5가 2
 
1.2%
Other values (51) 51
31.1%
2023-12-13T01:55:59.109838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
16.0%
서 43
 
5.6%
특 41
 
5.3%
별 41
 
5.3%
시 41
 
5.3%
중 41
 
5.3%
구 41
 
5.3%
울 41
 
5.3%
1 37
 
4.8%
- 34
 
4.4%
Other values (42) 284
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
55.3%
Decimal Number 186
24.3%
Space Separator 123
 
16.0%
Dash Punctuation 34
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 43
10.1%
특 41
9.7%
별 41
9.7%
시 41
9.7%
중 41
9.7%
구 41
9.7%
울 41
9.7%
동 34
8.0%
당 16
 
3.8%
신 16
 
3.8%
Other values (30) 69
16.3%
Decimal Number
ValueCountFrequency (%)
1 37
19.9%
2 31
16.7%
3 30
16.1%
4 19
10.2%
5 17
9.1%
6 17
9.1%
9 11
 
5.9%
8 9
 
4.8%
0 9
 
4.8%
7 6
 
3.2%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
55.3%
Common 343
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 43
10.1%
특 41
9.7%
별 41
9.7%
시 41
9.7%
중 41
9.7%
구 41
9.7%
울 41
9.7%
동 34
8.0%
당 16
 
3.8%
신 16
 
3.8%
Other values (30) 69
16.3%
Common
ValueCountFrequency (%)
123
35.9%
1 37
 
10.8%
- 34
 
9.9%
2 31
 
9.0%
3 30
 
8.7%
4 19
 
5.5%
5 17
 
5.0%
6 17
 
5.0%
9 11
 
3.2%
8 9
 
2.6%
Other values (2) 15
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
55.3%
ASCII 343
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
35.9%
1 37
 
10.8%
- 34
 
9.9%
2 31
 
9.0%
3 30
 
8.7%
4 19
 
5.5%
5 17
 
5.0%
6 17
 
5.0%
9 11
 
3.2%
8 9
 
2.6%
Other values (2) 15
 
4.4%
Hangul
ValueCountFrequency (%)
서 43
10.1%
특 41
9.7%
별 41
9.7%
시 41
9.7%
중 41
9.7%
구 41
9.7%
울 41
9.7%
동 34
8.0%
당 16
 
3.8%
신 16
 
3.8%
Other values (30) 69
16.3%

주차구획수
Real number (ℝ)

Distinct33
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.804878
Minimum7
Maximum491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:55:59.282183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9
Q114
median31
Q375
95-th percentile113
Maximum491
Range484
Interquartile range (IQR)61

Descriptive statistics

Standard deviation78.949104
Coefficient of variation (CV)1.4405488
Kurtosis23.993185
Mean54.804878
Median Absolute Deviation (MAD)19
Skewness4.4607908
Sum2247
Variance6232.961
MonotonicityNot monotonic
2023-12-13T01:55:59.465396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
9 3
 
7.3%
12 3
 
7.3%
75 2
 
4.9%
47 2
 
4.9%
24 2
 
4.9%
14 2
 
4.9%
71 1
 
2.4%
162 1
 
2.4%
92 1
 
2.4%
46 1
 
2.4%
Other values (23) 23
56.1%
ValueCountFrequency (%)
7 1
 
2.4%
8 1
 
2.4%
9 3
7.3%
12 3
7.3%
13 1
 
2.4%
14 2
4.9%
15 1
 
2.4%
16 1
 
2.4%
17 1
 
2.4%
18 1
 
2.4%
ValueCountFrequency (%)
491 1
2.4%
162 1
2.4%
113 1
2.4%
108 1
2.4%
106 1
2.4%
92 1
2.4%
88 1
2.4%
85 1
2.4%
83 1
2.4%
75 2
4.9%

급지구분
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
20 
3
13 
2
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 20
48.8%
3 13
31.7%
2 8
 
19.5%

Length

2023-12-13T01:55:59.631369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:55:59.785429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
48.8%
3 13
31.7%
2 8
 
19.5%

부제시행구분
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
요일제
23 
미시행
18 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요일제 23
56.1%
미시행 18
43.9%

Length

2023-12-13T01:55:59.931459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:00.073952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 23
56.1%
미시행 18
43.9%

운영요일
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
평일+토요일+공휴일
22 
평일+토요일
19 

Length

Max length10
Median length10
Mean length8.1463415
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일+토요일+공휴일
2nd row평일+토요일
3rd row평일+토요일
4th row평일+토요일
5th row평일+토요일

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 22
53.7%
평일+토요일 19
46.3%

Length

2023-12-13T01:56:00.245260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:00.409032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 22
53.7%
평일+토요일 19
46.3%

평일운영시작시각
Date

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 09:00:00
2023-12-13T01:56:00.523452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:00.961328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

평일운영종료시각
Date

Distinct5
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 19:00:00
Maximum2023-12-13 23:59:00
2023-12-13T01:56:01.095687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:01.238403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

토요일운영시작시각
Date

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 09:00:00
2023-12-13T01:56:01.367923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:01.480980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

토요일운영종료시각
Date

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 15:00:00
Maximum2023-12-13 23:59:00
2023-12-13T01:56:01.617017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:01.751374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

공휴일운영시작시각
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2023-12-13T01:56:01.905835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:02.018285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

공휴일운영종료시각
Date

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 23:59:00
2023-12-13T01:56:02.167839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:02.292898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
유료
41 

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 41
100.0%

Length

2023-12-13T01:56:02.455009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:02.579929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 41
100.0%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
5
41 

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 41
100.0%

Length

2023-12-13T01:56:02.717005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:02.891704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 41
100.0%

주차기본요금
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean335.36585
Minimum0
Maximum600
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:56:03.056856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q1150
median250
Q3500
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)350

Descriptive statistics

Standard deviation176.15473
Coefficient of variation (CV)0.52526137
Kurtosis-1.3493529
Mean335.36585
Median Absolute Deviation (MAD)100
Skewness0.14001789
Sum13750
Variance31030.488
MonotonicityNot monotonic
2023-12-13T01:56:03.251100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
150 12
29.3%
250 8
19.5%
500 8
19.5%
600 6
14.6%
400 5
12.2%
350 1
 
2.4%
0 1
 
2.4%
ValueCountFrequency (%)
0 1
 
2.4%
150 12
29.3%
250 8
19.5%
350 1
 
2.4%
400 5
12.2%
500 8
19.5%
600 6
14.6%
ValueCountFrequency (%)
600 6
14.6%
500 8
19.5%
400 5
12.2%
350 1
 
2.4%
250 8
19.5%
150 12
29.3%
0 1
 
2.4%

추가단위시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
5
41 

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 41
100.0%

Length

2023-12-13T01:56:03.467265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:03.629058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 41
100.0%

추가단위요금
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean335.36585
Minimum0
Maximum600
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:56:03.777224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q1150
median250
Q3500
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)350

Descriptive statistics

Standard deviation176.15473
Coefficient of variation (CV)0.52526137
Kurtosis-1.3493529
Mean335.36585
Median Absolute Deviation (MAD)100
Skewness0.14001789
Sum13750
Variance31030.488
MonotonicityNot monotonic
2023-12-13T01:56:03.997727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
150 12
29.3%
250 8
19.5%
500 8
19.5%
600 6
14.6%
400 5
12.2%
350 1
 
2.4%
0 1
 
2.4%
ValueCountFrequency (%)
0 1
 
2.4%
150 12
29.3%
250 8
19.5%
350 1
 
2.4%
400 5
12.2%
500 8
19.5%
600 6
14.6%
ValueCountFrequency (%)
600 6
14.6%
500 8
19.5%
400 5
12.2%
350 1
 
2.4%
250 8
19.5%
150 12
29.3%
0 1
 
2.4%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
0
39 
660
 
1
960
 
1

Length

Max length3
Median length1
Mean length1.097561
Min length1

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 39
95.1%
660 1
 
2.4%
960 1
 
2.4%

Length

2023-12-13T01:56:04.226686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:04.390062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
95.1%
660 1
 
2.4%
960 1
 
2.4%

1일주차권요금
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
0
39 
20000
 
2

Length

Max length5
Median length1
Mean length1.195122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 39
95.1%
20000 2
 
4.9%

Length

2023-12-13T01:56:04.531356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:04.657425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
95.1%
20000 2
 
4.9%

월정기권요금
Real number (ℝ)

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212926.83
Minimum140000
Maximum350000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:56:04.755177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140000
5-th percentile140000
Q1140000
median240000
Q3250000
95-th percentile350000
Maximum350000
Range210000
Interquartile range (IQR)110000

Descriptive statistics

Standard deviation61977.573
Coefficient of variation (CV)0.29107451
Kurtosis-0.36218543
Mean212926.83
Median Absolute Deviation (MAD)40000
Skewness0.37224186
Sum8730000
Variance3.8412195 × 109
MonotonicityNot monotonic
2023-12-13T01:56:04.873177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
250000 14
34.1%
140000 13
31.7%
240000 6
14.6%
180000 4
 
9.8%
350000 3
 
7.3%
200000 1
 
2.4%
ValueCountFrequency (%)
140000 13
31.7%
180000 4
 
9.8%
200000 1
 
2.4%
240000 6
14.6%
250000 14
34.1%
350000 3
 
7.3%
ValueCountFrequency (%)
350000 3
 
7.3%
250000 14
34.1%
240000 6
14.6%
200000 1
 
2.4%
180000 4
 
9.8%
140000 13
31.7%

결제방법
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
신용카드
22 
현금+신용카드
18 
현금
 
1

Length

Max length7
Median length4
Mean length5.2682927
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row신용카드
2nd row현금+신용카드
3rd row현금+신용카드
4th row현금+신용카드
5th row현금+신용카드

Common Values

ValueCountFrequency (%)
신용카드 22
53.7%
현금+신용카드 18
43.9%
현금 1
 
2.4%

Length

2023-12-13T01:56:05.000314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:05.105438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신용카드 22
53.7%
현금+신용카드 18
43.9%
현금 1
 
2.4%

특기사항
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing39
Missing (%)95.1%
Memory size460.0 B
2023-12-13T01:56:05.238157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters20
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거주민 월정기 전용
2nd row거주민 월정기 전용
ValueCountFrequency (%)
거주민 2
33.3%
월정기 2
33.3%
전용 2
33.3%
2023-12-13T01:56:05.517288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
20.0%
거 2
10.0%
주 2
10.0%
민 2
10.0%
월 2
10.0%
정 2
10.0%
기 2
10.0%
전 2
10.0%
용 2
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
80.0%
Space Separator 4
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 2
12.5%
주 2
12.5%
민 2
12.5%
월 2
12.5%
정 2
12.5%
기 2
12.5%
전 2
12.5%
용 2
12.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
80.0%
Common 4
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 2
12.5%
주 2
12.5%
민 2
12.5%
월 2
12.5%
정 2
12.5%
기 2
12.5%
전 2
12.5%
용 2
12.5%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
80.0%
ASCII 4
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
100.0%
Hangul
ValueCountFrequency (%)
거 2
12.5%
주 2
12.5%
민 2
12.5%
월 2
12.5%
정 2
12.5%
기 2
12.5%
전 2
12.5%
용 2
12.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
서울특별시 중구청
41 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 중구청 41
100.0%

Length

2023-12-13T01:56:05.680764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:05.771472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 41
50.0%
중구청 41
50.0%

전화번호
Categorical

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
02-2280-8360
24 
02-2265-7765
 
1
02-2231-0445
 
1
02-2252-3369
 
1
02-2252-5314
 
1
Other values (13)
13 

Length

Max length12
Median length12
Mean length11.902439
Min length11

Unique

Unique17 ?
Unique (%)41.5%

Sample

1st row02-2265-7765
2nd row02-2280-8360
3rd row02-2280-8360
4th row02-2280-8360
5th row02-2280-8360

Common Values

ValueCountFrequency (%)
02-2280-8360 24
58.5%
02-2265-7765 1
 
2.4%
02-2231-0445 1
 
2.4%
02-2252-3369 1
 
2.4%
02-2252-5314 1
 
2.4%
02-2238-3379 1
 
2.4%
02-2234-9773 1
 
2.4%
02-2234-9747 1
 
2.4%
02-310-9588 1
 
2.4%
02-2238-7004 1
 
2.4%
Other values (8) 8
 
19.5%

Length

2023-12-13T01:56:05.876992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-2280-8360 24
58.5%
02-2265-7765 1
 
2.4%
02-2231-4584 1
 
2.4%
02-2280-8370 1
 
2.4%
02-2235-7003 1
 
2.4%
02-755-7004 1
 
2.4%
02-756-7008 1
 
2.4%
02-364-7003 1
 
2.4%
02-2277-7004 1
 
2.4%
02-2238-7004 1
 
2.4%
Other values (8) 8
 
19.5%

위도
Real number (ℝ)

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.560441
Minimum37.549029
Maximum37.568985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:56:06.012732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.549029
5-th percentile37.551633
Q137.5566
median37.559233
Q337.565221
95-th percentile37.568305
Maximum37.568985
Range0.0199565
Interquartile range (IQR)0.00862081

Descriptive statistics

Standard deviation0.0055858549
Coefficient of variation (CV)0.00014871644
Kurtosis-0.83237952
Mean37.560441
Median Absolute Deviation (MAD)0.00444254
Skewness-0.17541351
Sum1539.9781
Variance3.1201775 × 10-5
MonotonicityNot monotonic
2023-12-13T01:56:06.157534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.55909088 7
 
17.1%
37.556504 1
 
2.4%
37.55438305 1
 
2.4%
37.558923 1
 
2.4%
37.549029 1
 
2.4%
37.56522056 1
 
2.4%
37.559936 1
 
2.4%
37.5554795 1
 
2.4%
37.5682426 1
 
2.4%
37.5689855 1
 
2.4%
Other values (25) 25
61.0%
ValueCountFrequency (%)
37.549029 1
2.4%
37.550508 1
2.4%
37.55163344 1
2.4%
37.552118 1
2.4%
37.552153 1
2.4%
37.552237 1
2.4%
37.55438305 1
2.4%
37.5554795 1
2.4%
37.55631375 1
2.4%
37.556504 1
2.4%
ValueCountFrequency (%)
37.5689855 1
2.4%
37.56845681 1
2.4%
37.56830549 1
2.4%
37.5682426 1
2.4%
37.56800835 1
2.4%
37.56794672 1
2.4%
37.56748249 1
2.4%
37.567387 1
2.4%
37.56592686 1
2.4%
37.56557705 1
2.4%

경도
Real number (ℝ)

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99322
Minimum126.96482
Maximum127.02075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T01:56:06.315121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.96482
5-th percentile126.97299
Q1126.97582
median126.99573
Q3127.00631
95-th percentile127.01701
Maximum127.02075
Range0.0559357
Interquartile range (IQR)0.0304893

Descriptive statistics

Standard deviation0.01713281
Coefficient of variation (CV)0.00013491122
Kurtosis-1.5662275
Mean126.99322
Median Absolute Deviation (MAD)0.0163738
Skewness-0.0034971965
Sum5206.722
Variance0.00029353319
MonotonicityNot monotonic
2023-12-13T01:56:06.458203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
126.9738466 7
 
17.1%
127.0057006 2
 
4.9%
126.9958714 1
 
2.4%
127.0134049 1
 
2.4%
127.0063055 1
 
2.4%
127.0207514 1
 
2.4%
127.0013265 1
 
2.4%
126.9648157 1
 
2.4%
126.9799468 1
 
2.4%
127.0057956 1
 
2.4%
Other values (24) 24
58.5%
ValueCountFrequency (%)
126.9648157 1
 
2.4%
126.9696428 1
 
2.4%
126.9729947 1
 
2.4%
126.9738466 7
17.1%
126.9758162 1
 
2.4%
126.9770151 1
 
2.4%
126.977995 1
 
2.4%
126.9799255 1
 
2.4%
126.9799468 1
 
2.4%
126.9799921 1
 
2.4%
ValueCountFrequency (%)
127.0207514 1
2.4%
127.018011 1
2.4%
127.0170054 1
2.4%
127.0159916 1
2.4%
127.014296 1
2.4%
127.0134049 1
2.4%
127.0133313 1
2.4%
127.0120996 1
2.4%
127.0110187 1
2.4%
127.0086101 1
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-03-20 00:00:00
Maximum2023-03-20 00:00:00
2023-12-13T01:56:06.566008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:06.686780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0101-3-000001중구구민회관 부설주차장공영부설서울특별시 중구 을지로39길 40서울특별시 중구 을지로6가 18-14712요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5250525000240000신용카드<NA>서울특별시 중구청02-2265-776537.568985127.0057962023-03-20
1101-1-000002삼풍상가 공영주차장공영노상서울특별시 중구 을지로 158서울특별시 중구 인현동1가 2-13261미시행평일+토요일09:0020:0009:0016:0000:0000:00유료5500550000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.565927126.995592023-03-20
2101-1-000004다동쉼터 공영주차장공영노상서울특별시 중구 다동길 11서울특별시 중구 다동 46-171미시행평일+토요일08:0022:0009:0022:0000:0000:00유료5600560000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.568008126.9799922023-03-20
3101-1-000005해운센터앞 공영주차장공영노상서울특별시 중구 소공로 93-1서울특별시 중구 소공동 5991미시행평일+토요일08:0022:0009:0022:0000:0000:00유료5600560000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.563186126.9799252023-03-20
4101-1-000006뉴국제호텔앞 공영주차장공영노상서울특별시 중구 세종대로22길 12서울특별시 중구 태평로1가 29-5191미시행평일+토요일08:0022:0009:0022:0000:0000:00유료5600560000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.567947126.9779952023-03-20
5101-1-000007이화여고앞 공영주차장공영노상서울특별시 중구 통일로4길 30서울특별시 중구 순화동 1-139132미시행평일+토요일09:0020:0009:0016:0000:0000:00유료5250525000180000현금+신용카드<NA>서울특별시 중구청02-2280-836037.565577126.9696432023-03-20
6101-1-000008국제화재빌딩옆 공영주차장공영노상서울특별시 중구 소월로 16서울특별시 중구 남대문로5가 145121미시행평일+토요일07:0021:0009:0021:0000:0000:00유료5500550000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.558259126.9758162023-03-20
7101-1-000009대림상가 공영주차장공영노상서울특별시 중구 을지로19길 38서울특별시 중구 산림동 264-11471미시행평일+토요일09:0020:0009:0016:0000:0000:00유료5500550066020000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.568305126.9957262023-03-20
8101-1-000011청소년회관뒤 공영주차장공영노상서울특별시 중구 수표로 67서울특별시 중구 수표동 50-181미시행평일+토요일08:0022:0009:0022:0000:0000:00유료5500550000250000현금+신용카드<NA>서울특별시 중구청02-2280-836037.567387126.9892922023-03-20
9101-1-000013한진면세점앞 공영주차장공영노상서울특별시 중구 세종대로 23서울특별시 중구 남대문로5가 533182미시행평일+토요일08:0022:0009:0022:0000:0000:00유료5250525000180000현금+신용카드<NA>서울특별시 중구청02-2280-836037.559091126.9738472023-03-20
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
31101-2-000014장충 공영주차장공영노외서울특별시 중구 퇴계로50길 59서울특별시 중구 장충동2가 193-391063요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5150515000140000신용카드<NA>서울특별시 중구청02-2277-700437.559936127.0013272023-03-20
32101-2-000015손기정체육공원 공영주차장공영노외서울특별시 중구 손기정로 101서울특별시 중구 만리동2가 6-11623요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5150515000140000신용카드<NA>서울특별시 중구청02-364-700337.555479126.9648162023-03-20
33101-2-000016다동공원 제4 공영주차장공영노외서울특별시 중구 을지로1길 48서울특별시 중구 다동 39-3151요일제평일+토요일08:0022:0009:0018:0000:0000:00유료5400540000350000신용카드<NA>서울특별시 중구청02-756-700837.568243126.9799472023-03-20
34101-2-000017동산 공영주차장공영노외서울특별시 중구 다산로24가길 23서울특별시 중구 신당동 333-260833요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5150515000140000신용카드<NA>서울특별시 중구청02-2280-836037.556314127.0159922023-03-20
35101-2-000018남산동 공영주차장공영노외서울특별시 중구 퇴계로20길 24서울특별시 중구 남산동2가 30-4482요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5250525000240000신용카드<NA>서울특별시 중구청02-755-700437.559233126.9855032023-03-20
36101-2-000020신당동 공영주차장공영노외서울특별시 중구 청구로8길 40서울특별시 중구 신당동 300-11752요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5250525000240000신용카드<NA>서울특별시 중구청02-2235-700337.562026127.0142962023-03-20
37101-2-000021새싹마을 공영주차장공영노외서울특별시 중구 동호로12길 97서울특별시 중구 신당동 386-66123요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료505000140000현금거주민 월정기 전용서울특별시 중구청02-2280-836037.559508127.01212023-03-20
38101-2-000023묵정공원지하 공영주차장공영노외서울특별시 중구 퇴계로45길 32-12서울특별시 중구 충무로5가 214911요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5400540000350000신용카드<NA>서울특별시 중구청02-2280-837037.563676126.9998012023-03-20
39101-2-000024다산아트 공영주차장공영노외서울특별시 중구 동호로17길 173서울특별시 중구 신당동 432-1558753요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5150515000140000신용카드<NA>서울특별시 중구청02-2231-458437.551633127.0043912023-03-20
40101-2-000025황학어린이공원 공영주차장공영노외서울특별시 중구 다산로48길 33서울특별시 중구 황학동 7551131요일제평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료5400540000180000신용카드<NA>서울특별시 중구청02-2256-700437.567482127.0180112023-03-20