Overview

Dataset statistics

Number of variables31
Number of observations53
Missing cells214
Missing cells (%)13.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory263.5 B

Variable types

Text3
Categorical21
Unsupported4
Numeric3

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
추가단위시간 has constant value ""Constant
결제방법 has constant value ""Constant
데이터기준일자 has constant value ""Constant
토요일운영시작시각 is highly imbalanced (76.8%)Imbalance
공휴일운영시작시각 is highly imbalanced (86.5%)Imbalance
관리기관명 is highly imbalanced (86.5%)Imbalance
전화번호 is highly imbalanced (86.5%)Imbalance
소재지지번주소 has 53 (100.0%) missing valuesMissing
1일주차권요금적용시간 has 53 (100.0%) missing valuesMissing
1일주차권요금 has 53 (100.0%) missing valuesMissing
특기사항 has 53 (100.0%) missing valuesMissing
위도 has 1 (1.9%) missing valuesMissing
경도 has 1 (1.9%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1일주차권요금적용시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1일주차권요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 05:51:14.130005
Analysis finished2023-12-11 05:51:14.864913
Duration0.73 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
2023-12-11T14:51:15.039602image/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 row122-1-000005
2nd row122-1-000006
3rd row122-1-000007
4th row122-1-000008
5th row122-1-000009
ValueCountFrequency (%)
122-1-000005 1
 
1.9%
122-2-000009 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%
122-2-000017 1
 
1.9%
122-2-000020 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T14:51:15.497043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 234
36.8%
2 155
24.4%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
5 6
 
0.9%
6 5
 
0.8%
7 5
 
0.8%
9 5
 
0.8%
4 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 (%)
0 234
44.2%
2 155
29.2%
1 103
19.4%
3 8
 
1.5%
5 6
 
1.1%
6 5
 
0.9%
7 5
 
0.9%
9 5
 
0.9%
4 5
 
0.9%
8 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 234
36.8%
2 155
24.4%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
5 6
 
0.9%
6 5
 
0.8%
7 5
 
0.8%
9 5
 
0.8%
4 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 234
36.8%
2 155
24.4%
- 106
16.7%
1 103
16.2%
3 8
 
1.3%
5 6
 
0.9%
6 5
 
0.8%
7 5
 
0.8%
9 5
 
0.8%
4 5
 
0.8%

주차장명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:51:15.759763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.3584906
Min length3

Characters and Unicode

Total characters337
Distinct characters93
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 row언주로147길
2nd row도산대로45길
3rd row언주로171길
4th row선릉로146길
5th row선릉로132길
ValueCountFrequency (%)
부설 2
 
3.6%
언주로147길 1
 
1.8%
대청역 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%
논현로22길 1
 
1.8%
Other values (44) 44
80.0%
2023-12-11T14:51:16.214645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 26
 
7.7%
길 23
 
6.8%
1 17
 
5.0%
2 15
 
4.5%
대 11
 
3.3%
동 10
 
3.0%
교 8
 
2.4%
7 8
 
2.4%
초 8
 
2.4%
6 7
 
2.1%
Other values (83) 204
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
75.1%
Decimal Number 79
 
23.4%
Space Separator 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 26
 
10.3%
길 23
 
9.1%
대 11
 
4.3%
동 10
 
4.0%
교 8
 
3.2%
초 8
 
3.2%
구 6
 
2.4%
영 5
 
2.0%
주 5
 
2.0%
논 5
 
2.0%
Other values (69) 146
57.7%
Decimal Number
ValueCountFrequency (%)
1 17
21.5%
2 15
19.0%
7 8
10.1%
6 7
8.9%
4 7
8.9%
5 7
8.9%
3 6
 
7.6%
8 5
 
6.3%
9 4
 
5.1%
0 3
 
3.8%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
75.1%
Common 84
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 26
 
10.3%
길 23
 
9.1%
대 11
 
4.3%
동 10
 
4.0%
교 8
 
3.2%
초 8
 
3.2%
구 6
 
2.4%
영 5
 
2.0%
주 5
 
2.0%
논 5
 
2.0%
Other values (69) 146
57.7%
Common
ValueCountFrequency (%)
1 17
20.2%
2 15
17.9%
7 8
9.5%
6 7
8.3%
4 7
8.3%
5 7
8.3%
3 6
 
7.1%
8 5
 
6.0%
9 4
 
4.8%
0 3
 
3.6%
Other values (4) 5
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
75.1%
ASCII 84
 
24.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 26
 
10.3%
길 23
 
9.1%
대 11
 
4.3%
동 10
 
4.0%
교 8
 
3.2%
초 8
 
3.2%
구 6
 
2.4%
영 5
 
2.0%
주 5
 
2.0%
논 5
 
2.0%
Other values (69) 146
57.7%
ASCII
ValueCountFrequency (%)
1 17
20.2%
2 15
17.9%
7 8
9.5%
6 7
8.3%
4 7
8.3%
5 7
8.3%
3 6
 
7.1%
8 5
 
6.0%
9 4
 
4.8%
0 3
 
3.6%
Other values (4) 5
 
6.0%

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

2023-12-11T14:51:16.391799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:16.496734image/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
27 
노상
24 
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 27
50.9%
노상 24
45.3%
부설 2
 
3.8%

Length

2023-12-11T14:51:16.609379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:16.721590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 27
50.9%
노상 24
45.3%
부설 2
 
3.8%

소재지도로명주소
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:51:16.991676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length18.622642
Min length15

Characters and Unicode

Total characters987
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

Unique49 ?
Unique (%)92.5%

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 53
25.2%
강남구 53
25.2%
양재대로 4
 
1.9%
테헤란로 4
 
1.9%
삼성로 3
 
1.4%
개포로 3
 
1.4%
도곡로 3
 
1.4%
선릉로 3
 
1.4%
압구정로 2
 
1.0%
도산대로 2
 
1.0%
Other values (76) 80
38.1%
2023-12-11T14:51:17.538396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
15.9%
남 56
 
5.7%
구 56
 
5.7%
강 54
 
5.5%
서 53
 
5.4%
특 53
 
5.4%
별 53
 
5.4%
시 53
 
5.4%
울 53
 
5.4%
로 53
 
5.4%
Other values (46) 346
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
64.5%
Decimal Number 190
 
19.3%
Space Separator 157
 
15.9%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 56
8.8%
구 56
8.8%
강 54
8.5%
서 53
8.3%
특 53
8.3%
별 53
8.3%
시 53
8.3%
울 53
8.3%
로 53
8.3%
길 28
 
4.4%
Other values (34) 125
19.6%
Decimal Number
ValueCountFrequency (%)
2 35
18.4%
1 35
18.4%
3 23
12.1%
5 17
8.9%
7 17
8.9%
8 17
8.9%
6 15
7.9%
4 14
 
7.4%
0 13
 
6.8%
9 4
 
2.1%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
64.5%
Common 350
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 56
8.8%
구 56
8.8%
강 54
8.5%
서 53
8.3%
특 53
8.3%
별 53
8.3%
시 53
8.3%
울 53
8.3%
로 53
8.3%
길 28
 
4.4%
Other values (34) 125
19.6%
Common
ValueCountFrequency (%)
157
44.9%
2 35
 
10.0%
1 35
 
10.0%
3 23
 
6.6%
5 17
 
4.9%
7 17
 
4.9%
8 17
 
4.9%
6 15
 
4.3%
4 14
 
4.0%
0 13
 
3.7%
Other values (2) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
64.5%
ASCII 350
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
44.9%
2 35
 
10.0%
1 35
 
10.0%
3 23
 
6.6%
5 17
 
4.9%
7 17
 
4.9%
8 17
 
4.9%
6 15
 
4.3%
4 14
 
4.0%
0 13
 
3.7%
Other values (2) 7
 
2.0%
Hangul
ValueCountFrequency (%)
남 56
8.8%
구 56
8.8%
강 54
8.5%
서 53
8.3%
특 53
8.3%
별 53
8.3%
시 53
8.3%
울 53
8.3%
로 53
8.3%
길 28
 
4.4%
Other values (34) 125
19.6%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주차구획수
Real number (ℝ)

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.4717
Minimum7
Maximum833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:51:17.700092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11.2
Q130
median70
Q3159
95-th percentile263.8
Maximum833
Range826
Interquartile range (IQR)129

Descriptive statistics

Standard deviation129.69618
Coefficient of variation (CV)1.1956684
Kurtosis18.375128
Mean108.4717
Median Absolute Deviation (MAD)49
Skewness3.6323666
Sum5749
Variance16821.1
MonotonicityNot monotonic
2023-12-11T14:51:17.864018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
16 2
 
3.8%
77 2
 
3.8%
33 2
 
3.8%
66 2
 
3.8%
186 2
 
3.8%
17 2
 
3.8%
109 1
 
1.9%
322 1
 
1.9%
53 1
 
1.9%
185 1
 
1.9%
Other values (37) 37
69.8%
ValueCountFrequency (%)
7 1
1.9%
8 1
1.9%
10 1
1.9%
12 1
1.9%
13 1
1.9%
16 2
3.8%
17 2
3.8%
21 1
1.9%
22 1
1.9%
24 1
1.9%
ValueCountFrequency (%)
833 1
1.9%
344 1
1.9%
322 1
1.9%
225 1
1.9%
218 1
1.9%
200 1
1.9%
194 1
1.9%
192 1
1.9%
191 1
1.9%
186 2
3.8%

급지구분
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
20 
2
17 
3
8 
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 20
37.7%
2 17
32.1%
3 8
 
15.1%
4 8
 
15.1%

Length

2023-12-11T14:51:18.000373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:18.116530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
37.7%
2 17
32.1%
3 8
 
15.1%
4 8
 
15.1%

부제시행구분
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 53
100.0%

Length

2023-12-11T14:51:18.228999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:18.314097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 53
100.0%

운영요일
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
평일
28 
평일+토요일+공휴일
25 

Length

Max length10
Median length2
Mean length5.7735849
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 28
52.8%
평일+토요일+공휴일 25
47.2%

Length

2023-12-11T14:51:18.436413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:18.565566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 28
52.8%
평일+토요일+공휴일 25
47.2%

평일운영시작시각
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
9:00
27 
0:00
23 
10:00
 
2
11:00
 
1

Length

Max length5
Median length4
Mean length4.0566038
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
9:00 27
50.9%
0:00 23
43.4%
10:00 2
 
3.8%
11:00 1
 
1.9%

Length

2023-12-11T14:51:18.680428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:18.792853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 27
50.9%
0:00 23
43.4%
10:00 2
 
3.8%
11:00 1
 
1.9%

평일운영종료시각
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
19:00
25 
23:59
24 
20:00
 
2
21:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19:00 25
47.2%
23:59 24
45.3%
20:00 2
 
3.8%
21:00 2
 
3.8%

Length

2023-12-11T14:51:18.908010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:19.018893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 25
47.2%
23:59 24
45.3%
20:00 2
 
3.8%
21:00 2
 
3.8%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
51 
9:00
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0:00 51
96.2%
9:00 2
 
3.8%

Length

2023-12-11T14:51:19.145047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:19.264335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 51
96.2%
9:00 2
 
3.8%

토요일운영종료시각
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
28 
23:59
23 
15:00
 
2

Length

Max length5
Median length4
Mean length4.4716981
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0:00 28
52.8%
23:59 23
43.4%
15:00 2
 
3.8%

Length

2023-12-11T14:51:19.377024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:19.499480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 28
52.8%
23:59 23
43.4%
15:00 2
 
3.8%

공휴일운영시작시각
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

2023-12-11T14:51:19.619625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:19.755033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 52
98.1%
9:00 1
 
1.9%

공휴일운영종료시각
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
23:59
26 
0:00
25 
15:00
 
2

Length

Max length5
Median length5
Mean length4.5283019
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
23:59 26
49.1%
0:00 25
47.2%
15:00 2
 
3.8%

Length

2023-12-11T14:51:19.922760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:20.057171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 26
49.1%
0:00 25
47.2%
15:00 2
 
3.8%

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

2023-12-11T14:51:20.204157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:20.342159image/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

2023-12-11T14:51:20.491918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:20.658222image/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
8 
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 20
37.7%
300 17
32.1%
200 8
 
15.1%
100 8
 
15.1%

Length

2023-12-11T14:51:20.790724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:20.923630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 20
37.7%
300 17
32.1%
200 8
 
15.1%
100 8
 
15.1%

추가단위시간
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

2023-12-11T14:51:21.087817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:21.227332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 53
100.0%

추가단위요금
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
400
20 
300
17 
200
8 
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 20
37.7%
300 17
32.1%
200 8
 
15.1%
100 8
 
15.1%

Length

2023-12-11T14:51:21.369703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:21.573601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 20
37.7%
300 17
32.1%
200 8
 
15.1%
100 8
 
15.1%

1일주차권요금적용시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

1일주차권요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

월정기권요금
Categorical

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
150000
29 
180000
7 
120000
7 
70000
7 
<NA>
3 

Length

Max length6
Median length6
Mean length5.754717
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row150000
2nd row150000
3rd row150000
4th row150000
5th row150000

Common Values

ValueCountFrequency (%)
150000 29
54.7%
180000 7
 
13.2%
120000 7
 
13.2%
70000 7
 
13.2%
<NA> 3
 
5.7%

Length

2023-12-11T14:51:21.780002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:22.002591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
150000 29
54.7%
180000 7
 
13.2%
120000 7
 
13.2%
70000 7
 
13.2%
na 3
 
5.7%

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

2023-12-11T14:51:22.216364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:22.344360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드+현금+무통장+지로 53
100.0%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

관리기관명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
강남구도시관리공단
52 
개포주공5단지입주자대표회의
 
1

Length

Max length14
Median length9
Mean length9.0943396
Min length9

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
강남구도시관리공단 52
98.1%
개포주공5단지입주자대표회의 1
 
1.9%

Length

2023-12-11T14:51:22.503663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:22.651024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 52
98.1%
개포주공5단지입주자대표회의 1
 
1.9%

전화번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
1544-3113
52 
02-445-8879
 
1

Length

Max length11
Median length9
Mean length9.0377358
Min length9

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1544-3113 52
98.1%
02-445-8879 1
 
1.9%

Length

2023-12-11T14:51:22.831997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:22.974912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1544-3113 52
98.1%
02-445-8879 1
 
1.9%

위도
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean37.501547
Minimum37.464621
Maximum37.530846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:51:23.124767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.464621
5-th percentile37.475999
Q137.491652
median37.501166
Q337.514211
95-th percentile37.524928
Maximum37.530846
Range0.06622478
Interquartile range (IQR)0.022559153

Descriptive statistics

Standard deviation0.015797973
Coefficient of variation (CV)0.0004212619
Kurtosis-0.58707771
Mean37.501547
Median Absolute Deviation (MAD)0.01207988
Skewness-0.21080539
Sum1950.0805
Variance0.00024957596
MonotonicityNot monotonic
2023-12-11T14:51:23.328117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.49491581 2
 
3.8%
37.47606698 2
 
3.8%
37.51411154 1
 
1.9%
37.50230604 1
 
1.9%
37.50849066 1
 
1.9%
37.49951063 1
 
1.9%
37.52336132 1
 
1.9%
37.47591562 1
 
1.9%
37.48202648 1
 
1.9%
37.48970767 1
 
1.9%
Other values (40) 40
75.5%
ValueCountFrequency (%)
37.46462136 1
1.9%
37.47031418 1
1.9%
37.47591562 1
1.9%
37.47606698 2
3.8%
37.48202648 1
1.9%
37.48363566 1
1.9%
37.48425211 1
1.9%
37.48632308 1
1.9%
37.48890838 1
1.9%
37.48926358 1
1.9%
ValueCountFrequency (%)
37.53084614 1
1.9%
37.52702081 1
1.9%
37.52684211 1
1.9%
37.52336132 1
1.9%
37.52289716 1
1.9%
37.52138784 1
1.9%
37.52012607 1
1.9%
37.51982005 1
1.9%
37.51796636 1
1.9%
37.51778433 1
1.9%

경도
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)98.1%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean127.05482
Minimum127.02065
Maximum127.11864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T14:51:23.539557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02065
5-th percentile127.02668
Q1127.03841
median127.05233
Q3127.06669
95-th percentile127.08449
Maximum127.11864
Range0.0979837
Interquartile range (IQR)0.0282816

Descriptive statistics

Standard deviation0.0207574
Coefficient of variation (CV)0.00016337358
Kurtosis0.72876477
Mean127.05482
Median Absolute Deviation (MAD)0.01456235
Skewness0.69693173
Sum6606.8504
Variance0.00043086965
MonotonicityNot monotonic
2023-12-11T14:51:23.765175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0793202 2
 
3.8%
127.0327639 1
 
1.9%
127.0877676 1
 
1.9%
127.0641871 1
 
1.9%
127.0262217 1
 
1.9%
127.0544636 1
 
1.9%
127.0239924 1
 
1.9%
127.0672853 1
 
1.9%
127.0672851 1
 
1.9%
127.0525106 1
 
1.9%
Other values (41) 41
77.4%
ValueCountFrequency (%)
127.0206546 1
1.9%
127.0239924 1
1.9%
127.0262217 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%
127.0329823 1
1.9%
127.0332825 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
3.8%
127.0692319 1
1.9%
127.0682922 1
1.9%
127.0680522 1
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-02-08
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-08
2nd row2023-02-08
3rd row2023-02-08
4th row2023-02-08
5th row2023-02-08

Common Values

ValueCountFrequency (%)
2023-02-08 53
100.0%

Length

2023-12-11T14:51:23.958861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:24.103554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-08 53
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0122-1-000005언주로147길공영노상서울특별시 강남구 언주로 147길 18<NA>131미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.51982127.0327642023-02-08
1122-1-000006도산대로45길공영노상서울특별시 강남구 도산대로 323<NA>331미시행평일10:0020:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.522897127.0370162023-02-08
2122-1-000007언주로171길공영노상서울특별시 강남구 언주로 857<NA>301미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.527021127.0329822023-02-08
3122-1-000008선릉로146길공영노상서울특별시 강남구 선릉로 742<NA>321미시행평일10:0020:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.521388127.0437382023-02-08
4122-1-000009선릉로132길공영노상서울특별시 강남구 학동로 405<NA>171미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.517784127.042362023-02-08
5122-1-000010테헤란로64길공영노상서울특별시 강남구 테헤란로 412<NA>81미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.504763127.0512582023-02-08
6122-1-000011영동대로85길공영노상서울특별시 강남구 테헤란로 504<NA>771미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.506627127.0573472023-02-08
7122-1-000012테헤란로26길공영노상서울특별시 강남구 테헤란로 152<NA>121미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.500026127.036512023-02-08
8122-1-000013논현로28길공영노상서울특별시 강남구 논현로28길 25<NA>662미시행평일9:0019:000:000:000:000:00유료53005300<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.483636127.043862023-02-08
9122-1-000014영동대로106길공영노상서울특별시 강남구 영동대로106길33<NA>592미시행평일9:0019:000:000:000:000:00유료53005300<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.514163127.0638492023-02-08
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
43122-2-000028대왕초교공영노외서울특별시 강남구 헌릉로 618길 8<NA>1014미시행평일+토요일+공휴일0:0023:590:0023:590:0023:59유료51005100<NA><NA>70000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.464621127.1055892023-02-08
44122-3-000001구청 부설공영부설서울특별시 강남구 학동로426<NA>1862미시행평일9:0019:000:000:000:000:00유료53005300<NA><NA><NA>카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.517966127.0470612023-02-08
45122-3-000002삼성로별관 부설공영부설서울특별시 강남구 삼성로628<NA>432미시행평일9:0019:000:000:000:000:00유료53005300<NA><NA><NA>카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.51591127.0521412023-02-08
46122-1-000001강남대로150길공영노상서울특별시 강남구 도산대로 108<NA>71미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.516194127.0206552023-02-08
47122-1-000002논현로131길공영노상서울특별시 강남구 학동로171<NA>211미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.514047127.0295492023-02-08
48122-1-000003테헤란로69길공영노상서울특별시 강남구 테헤란로 63길 20<NA>221미시행평일0:0023:590:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.506522127.0503972023-02-08
49122-2-000026밤고개로21길공영노외서울특별시 강남구 개포로 623-1<NA>1094미시행평일+토요일+공휴일0:0023:590:0023:590:0023:59유료51005100<NA><NA>70000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.494916127.079322023-02-08
50122-1-000023영동대로86길공영노상서울특별시 강남구 영동대로86길<NA>161미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-311337.508024127.0652962023-02-08
51122-1-000024테헤란로78길공영노상서울특별시 강남구 테헤란로78길<NA>101미시행평일9:0019:000:000:000:000:00유료54005400<NA><NA>150000카드+현금+무통장+지로<NA>강남구도시관리공단1544-3113<NA><NA>2023-02-08
52122-1-000025개포주공5단지북측공영노상서울특별시 강남구 개포로82길<NA>532미시행평일+토요일+공휴일9:0019:009:0015:009:0015:00유료53005300<NA><NA>120000카드+현금+무통장+지로<NA>개포주공5단지입주자대표회의02-445-887937.488908127.0692322023-02-08