Overview

Dataset statistics

Number of variables31
Number of observations52
Missing cells208
Missing cells (%)12.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory262.5 B

Variable types

Text4
Categorical21
Numeric2
Unsupported4

Dataset

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

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
요금정보 has constant value ""Constant
주차기본시간 has constant value ""Constant
관리기관명 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
토요일운영시작시각 is highly imbalanced (86.3%)Imbalance
토요일운영종료시각 is highly imbalanced (86.3%)Imbalance
공휴일운영시작시각 is highly imbalanced (76.5%)Imbalance
공휴일운영종료시각 is highly imbalanced (86.3%)Imbalance
결제방법 is highly imbalanced (86.3%)Imbalance
월정기권요금 has 52 (100.0%) missing valuesMissing
특기사항 has 52 (100.0%) missing valuesMissing
위도 has 52 (100.0%) missing valuesMissing
경도 has 52 (100.0%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
월정기권요금 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
위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
1일주차권요금 has 10 (19.2%) zerosZeros

Reproduction

Analysis started2023-12-11 05:51:50.732229
Analysis finished2023-12-11 05:51:51.140622
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T14:51:51.334750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters624
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

Unique52 ?
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%
122-1-000006 1
 
1.9%
122-2-000021 1
 
1.9%
122-2-000009 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%
Other values (42) 42
80.8%
2023-12-11T14:51:51.825016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 231
37.0%
2 153
24.5%
- 104
16.7%
1 100
16.0%
3 7
 
1.1%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
9 5
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
83.3%
Dash Punctuation 104
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 231
44.4%
2 153
29.4%
1 100
19.2%
3 7
 
1.3%
5 5
 
1.0%
6 5
 
1.0%
7 5
 
1.0%
8 5
 
1.0%
9 5
 
1.0%
4 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 231
37.0%
2 153
24.5%
- 104
16.7%
1 100
16.0%
3 7
 
1.1%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
9 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 231
37.0%
2 153
24.5%
- 104
16.7%
1 100
16.0%
3 7
 
1.1%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
9 5
 
0.8%

주차장명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T14:51:52.124056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7.5
Mean length6.3653846
Min length3

Characters and Unicode

Total characters331
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

Unique52 ?
Unique (%)100.0%

Sample

1st row언주로147길
2nd row도산대로45길
3rd row언주로171길
4th row선릉로146길
5th row선릉로132길
ValueCountFrequency (%)
부설 2
 
3.7%
언주로147길 1
 
1.9%
개포로24길33 1
 
1.9%
논현로32길15 1
 
1.9%
대치2동문화센터 1
 
1.9%
논현초교 1
 
1.9%
도곡초교 1
 
1.9%
신구초교 1
 
1.9%
구룡산제1호 1
 
1.9%
구룡산제2호 1
 
1.9%
Other values (43) 43
79.6%
2023-12-11T14:51:52.626489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 26
 
7.9%
길 23
 
6.9%
2 18
 
5.4%
1 17
 
5.1%
대 11
 
3.3%
동 10
 
3.0%
3 9
 
2.7%
초 8
 
2.4%
교 8
 
2.4%
4 8
 
2.4%
Other values (76) 193
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
74.3%
Decimal Number 82
 
24.8%
Space Separator 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
도 6
 
2.4%
원 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 137
55.7%
Decimal Number
ValueCountFrequency (%)
2 18
22.0%
1 17
20.7%
3 9
11.0%
4 8
9.8%
5 7
 
8.5%
7 7
 
8.5%
6 6
 
7.3%
9 4
 
4.9%
0 3
 
3.7%
8 3
 
3.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
74.3%
Common 85
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
도 6
 
2.4%
원 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 137
55.7%
Common
ValueCountFrequency (%)
2 18
21.2%
1 17
20.0%
3 9
10.6%
4 8
9.4%
5 7
 
8.2%
7 7
 
8.2%
6 6
 
7.1%
9 4
 
4.7%
0 3
 
3.5%
8 3
 
3.5%
Other values (2) 3
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
74.3%
ASCII 85
 
25.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
도 6
 
2.4%
원 6
 
2.4%
구 6
 
2.4%
논 5
 
2.0%
Other values (64) 137
55.7%
ASCII
ValueCountFrequency (%)
2 18
21.2%
1 17
20.0%
3 9
10.6%
4 8
9.4%
5 7
 
8.2%
7 7
 
8.2%
6 6
 
7.1%
9 4
 
4.7%
0 3
 
3.5%
8 3
 
3.5%
Other values (2) 3
 
3.5%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
공영
52 

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 52
100.0%

Length

2023-12-11T14:51:52.791346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:52.916983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 52
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
노외
29 
노상
21 
부설
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 29
55.8%
노상 21
40.4%
부설 2
 
3.8%

Length

2023-12-11T14:51:53.059048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:53.164527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 29
55.8%
노상 21
40.4%
부설 2
 
3.8%

소재지도로명주소
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T14:51:53.413371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.576923
Min length15

Characters and Unicode

Total characters966
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

Unique48 ?
Unique (%)92.3%

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 52
25.2%
강남구 52
25.2%
도곡로 4
 
1.9%
양재대로 4
 
1.9%
테헤란로 4
 
1.9%
선릉로 3
 
1.5%
삼성로 3
 
1.5%
논현로 3
 
1.5%
478 2
 
1.0%
33 2
 
1.0%
Other values (72) 77
37.4%
2023-12-11T14:51:53.910300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
16.0%
남 55
 
5.7%
구 55
 
5.7%
강 53
 
5.5%
서 52
 
5.4%
특 52
 
5.4%
별 52
 
5.4%
시 52
 
5.4%
울 52
 
5.4%
로 52
 
5.4%
Other values (47) 336
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
64.6%
Decimal Number 184
 
19.0%
Space Separator 155
 
16.0%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 27
 
4.3%
Other values (35) 122
19.6%
Decimal Number
ValueCountFrequency (%)
1 36
19.6%
2 33
17.9%
3 23
12.5%
4 16
8.7%
7 16
8.7%
5 14
 
7.6%
6 14
 
7.6%
0 13
 
7.1%
8 13
 
7.1%
9 6
 
3.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
64.6%
Common 342
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 27
 
4.3%
Other values (35) 122
19.6%
Common
ValueCountFrequency (%)
155
45.3%
1 36
 
10.5%
2 33
 
9.6%
3 23
 
6.7%
4 16
 
4.7%
7 16
 
4.7%
5 14
 
4.1%
6 14
 
4.1%
0 13
 
3.8%
8 13
 
3.8%
Other values (2) 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
64.6%
ASCII 342
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
45.3%
1 36
 
10.5%
2 33
 
9.6%
3 23
 
6.7%
4 16
 
4.7%
7 16
 
4.7%
5 14
 
4.1%
6 14
 
4.1%
0 13
 
3.8%
8 13
 
3.8%
Other values (2) 9
 
2.6%
Hangul
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 27
 
4.3%
Other values (35) 122
19.6%

소재지지번주소
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T14:51:54.190029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.365385
Min length15

Characters and Unicode

Total characters955
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

Unique50 ?
Unique (%)96.2%

Sample

1st row서울특별시 강남구 논현동 63-16
2nd row서울특별시 강남구 신사동 651
3rd row서울특별시 강남구 신사동 621
4th row서울특별시 강남구 청담동 23-3
5th row서울특별시 강남구 청담동 42
ValueCountFrequency (%)
서울특별시 52
25.1%
강남구 52
25.1%
삼성동 8
 
3.9%
개포동 7
 
3.4%
대치동 7
 
3.4%
역삼동 5
 
2.4%
논현동 4
 
1.9%
일원동 4
 
1.9%
신사동 4
 
1.9%
청담동 3
 
1.4%
Other values (57) 61
29.5%
2023-12-11T14:51:54.655987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
16.2%
구 54
 
5.7%
서 52
 
5.4%
특 52
 
5.4%
별 52
 
5.4%
시 52
 
5.4%
강 52
 
5.4%
남 52
 
5.4%
울 52
 
5.4%
동 52
 
5.4%
Other values (35) 330
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
60.2%
Decimal Number 196
 
20.5%
Space Separator 155
 
16.2%
Dash Punctuation 27
 
2.8%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 54
9.4%
서 52
9.0%
특 52
9.0%
별 52
9.0%
시 52
9.0%
강 52
9.0%
남 52
9.0%
울 52
9.0%
동 52
9.0%
삼 13
 
2.3%
Other values (21) 92
16.0%
Decimal Number
ValueCountFrequency (%)
1 38
19.4%
2 36
18.4%
6 27
13.8%
4 18
9.2%
5 16
8.2%
3 16
8.2%
7 13
 
6.6%
9 11
 
5.6%
8 11
 
5.6%
0 10
 
5.1%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
60.2%
Common 380
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 54
9.4%
서 52
9.0%
특 52
9.0%
별 52
9.0%
시 52
9.0%
강 52
9.0%
남 52
9.0%
울 52
9.0%
동 52
9.0%
삼 13
 
2.3%
Other values (21) 92
16.0%
Common
ValueCountFrequency (%)
155
40.8%
1 38
 
10.0%
2 36
 
9.5%
6 27
 
7.1%
- 27
 
7.1%
4 18
 
4.7%
5 16
 
4.2%
3 16
 
4.2%
7 13
 
3.4%
9 11
 
2.9%
Other values (4) 23
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 575
60.2%
ASCII 380
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
40.8%
1 38
 
10.0%
2 36
 
9.5%
6 27
 
7.1%
- 27
 
7.1%
4 18
 
4.7%
5 16
 
4.2%
3 16
 
4.2%
7 13
 
3.4%
9 11
 
2.9%
Other values (4) 23
 
6.1%
Hangul
ValueCountFrequency (%)
구 54
9.4%
서 52
9.0%
특 52
9.0%
별 52
9.0%
시 52
9.0%
강 52
9.0%
남 52
9.0%
울 52
9.0%
동 52
9.0%
삼 13
 
2.3%
Other values (21) 92
16.0%

주차구획수
Real number (ℝ)

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.94231
Minimum7
Maximum926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T14:51:54.843282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12.55
Q129.75
median76
Q3169.25
95-th percentile269.1
Maximum926
Range919
Interquartile range (IQR)139.5

Descriptive statistics

Standard deviation140.59013
Coefficient of variation (CV)1.2231365
Kurtosis21.616812
Mean114.94231
Median Absolute Deviation (MAD)52.5
Skewness4.0007733
Sum5977
Variance19765.585
MonotonicityNot monotonic
2023-12-11T14:51:54.994616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
21 2
 
3.8%
12 2
 
3.8%
26 2
 
3.8%
225 2
 
3.8%
323 1
 
1.9%
200 1
 
1.9%
185 1
 
1.9%
92 1
 
1.9%
132 1
 
1.9%
190 1
 
1.9%
Other values (38) 38
73.1%
ValueCountFrequency (%)
7 1
1.9%
12 2
3.8%
13 1
1.9%
14 1
1.9%
17 1
1.9%
21 2
3.8%
22 1
1.9%
25 1
1.9%
26 2
3.8%
29 1
1.9%
ValueCountFrequency (%)
926 1
1.9%
343 1
1.9%
323 1
1.9%
225 2
3.8%
201 1
1.9%
200 1
1.9%
192 1
1.9%
191 1
1.9%
190 1
1.9%
187 1
1.9%

급지구분
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
19 
2
16 
3
9 
4
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
36.5%
2 16
30.8%
3 9
17.3%
4 8
15.4%

Length

2023-12-11T14:51:55.153359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:55.301352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
36.5%
2 16
30.8%
3 9
17.3%
4 8
15.4%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
요일제
52 

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 52
100.0%

Length

2023-12-11T14:51:55.422254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:55.521496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 52
100.0%

운영요일
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
평일
33 
평일+토요일+공휴일
19 

Length

Max length10
Median length2
Mean length4.9230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 33
63.5%
평일+토요일+공휴일 19
36.5%

Length

2023-12-11T14:51:55.656659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:55.788868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 33
63.5%
평일+토요일+공휴일 19
36.5%

평일운영시작시각
Categorical

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
09:00
29 
00:00
17 
10:00
3 
11:00
 
1
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)5.8%

Sample

1st row09:00
2nd row10:00
3rd row09:00
4th row10:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 29
55.8%
00:00 17
32.7%
10:00 3
 
5.8%
11:00 1
 
1.9%
07:00 1
 
1.9%
06:00 1
 
1.9%

Length

2023-12-11T14:51:55.930454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:56.077991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 29
55.8%
00:00 17
32.7%
10:00 3
 
5.8%
11:00 1
 
1.9%
07:00 1
 
1.9%
06:00 1
 
1.9%

평일운영종료시각
Categorical

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
19:00
26 
00:00
17 
20:00
3 
21:00
 
2
22:00
 
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 26
50.0%
00:00 17
32.7%
20:00 3
 
5.8%
21:00 2
 
3.8%
22:00 2
 
3.8%
18:00 2
 
3.8%

Length

2023-12-11T14:51:56.243647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:56.386538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 26
50.0%
00:00 17
32.7%
20:00 3
 
5.8%
21:00 2
 
3.8%
22:00 2
 
3.8%
18:00 2
 
3.8%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
00:00
51 
09:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 51
98.1%
09:00 1
 
1.9%

Length

2023-12-11T14:51:56.528602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:56.667873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 51
98.1%
09:00 1
 
1.9%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
00:00
51 
21:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 51
98.1%
21:00 1
 
1.9%

Length

2023-12-11T14:51:56.824045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:56.958332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 51
98.1%
21:00 1
 
1.9%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
00:00
48 
01:00
 
1
02:00
 
1
03:00
 
1
09:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)7.7%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 48
92.3%
01:00 1
 
1.9%
02:00 1
 
1.9%
03:00 1
 
1.9%
09:00 1
 
1.9%

Length

2023-12-11T14:51:57.093136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:57.236226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 48
92.3%
01:00 1
 
1.9%
02:00 1
 
1.9%
03:00 1
 
1.9%
09:00 1
 
1.9%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
00:00
51 
21:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 51
98.1%
21:00 1
 
1.9%

Length

2023-12-11T14:51:57.391431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:57.518340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 51
98.1%
21:00 1
 
1.9%

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
유료
52 

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 52
100.0%

Length

2023-12-11T14:51:57.644581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:57.786894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 52
100.0%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
5
52 

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 52
100.0%

Length

2023-12-11T14:51:57.920429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:58.048858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 52
100.0%

주차기본요금
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
400
19 
300
16 
200
9 
100
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
400 19
36.5%
300 16
30.8%
200 9
17.3%
100 8
15.4%

Length

2023-12-11T14:51:58.182955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:58.353622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 19
36.5%
300 16
30.8%
200 9
17.3%
100 8
15.4%

추가단위시간
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
32 
5
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
61.5%
5 20
38.5%

Length

2023-12-11T14:51:58.544497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:58.714303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
61.5%
5 20
38.5%

추가단위요금
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
32 
800
11 
600
7 
400
 
2

Length

Max length3
Median length1
Mean length1.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
61.5%
800 11
 
21.2%
600 7
 
13.5%
400 2
 
3.8%

Length

2023-12-11T14:51:58.894655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:59.094771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
61.5%
800 11
 
21.2%
600 7
 
13.5%
400 2
 
3.8%

1일주차권요금적용시간
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
10
42 
0
10 

Length

Max length2
Median length2
Mean length1.8076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10 42
80.8%
0 10
 
19.2%

Length

2023-12-11T14:51:59.278305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:51:59.438781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 42
80.8%
0 10
 
19.2%

1일주차권요금
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20596.154
Minimum0
Maximum30000
Zeros10
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T14:51:59.567915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118000
median24500
Q330000
95-th percentile30000
Maximum30000
Range30000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation11051.146
Coefficient of variation (CV)0.53656358
Kurtosis-0.29701315
Mean20596.154
Median Absolute Deviation (MAD)5500
Skewness-1.0729261
Sum1071000
Variance1.2212783 × 108
MonotonicityNot monotonic
2023-12-11T14:51:59.702480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30000 19
36.5%
0 10
19.2%
24000 7
 
13.5%
25000 7
 
13.5%
18000 7
 
13.5%
16000 2
 
3.8%
ValueCountFrequency (%)
0 10
19.2%
16000 2
 
3.8%
18000 7
 
13.5%
24000 7
 
13.5%
25000 7
 
13.5%
30000 19
36.5%
ValueCountFrequency (%)
30000 19
36.5%
25000 7
 
13.5%
24000 7
 
13.5%
18000 7
 
13.5%
16000 2
 
3.8%
0 10
19.2%

월정기권요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

결제방법
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
카드/현금/무통장/지로
51 
카드
 
1

Length

Max length12
Median length12
Mean length11.807692
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
카드/현금/무통장/지로 51
98.1%
카드 1
 
1.9%

Length

2023-12-11T14:51:59.879909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:00.027766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드/현금/무통장/지로 51
98.1%
카드 1
 
1.9%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
강남구도시관리공단
52 

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 52
100.0%

Length

2023-12-11T14:52:00.180663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:00.290175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 52
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
1544-3113
52 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1544-3113 52
100.0%

Length

2023-12-11T14:52:00.389053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:00.498226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1544-3113 52
100.0%

위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2019-03-05
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-03-05
2nd row2019-03-05
3rd row2019-03-05
4th row2019-03-05
5th row2019-03-05

Common Values

ValueCountFrequency (%)
2019-03-05 52
100.0%

Length

2023-12-11T14:52:00.603017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:00.728921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-03-05 52
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0122-1-000005언주로147길공영노상서울특별시 강남구 언주로 147길 18서울특별시 강남구 논현동 63-16141요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
1122-1-000006도산대로45길공영노상서울특별시 강남구 도산대로 323서울특별시 강남구 신사동 651461요일제평일10:0020:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
2122-1-000007언주로171길공영노상서울특별시 강남구 언주로 857서울특별시 강남구 신사동 621301요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
3122-1-000008선릉로146길공영노상서울특별시 강남구 선릉로 742서울특별시 강남구 청담동 23-3321요일제평일10:0020:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
4122-1-000009선릉로132길공영노상서울특별시 강남구 학동로 405서울특별시 강남구 청담동 42171요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
5122-1-000010테헤란로64길공영노상서울특별시 강남구 테헤란로 412서울특별시 강남구 대치동 890121요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
6122-1-000011영동대로85길공영노상서울특별시 강남구 테헤란로 504서울특별시 강남구 대치동 942741요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
7122-1-000012테헤란로26길공영노상서울특별시 강남구 테헤란로 152서울특별시 강남구 역삼동 737121요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
8122-1-000013논현로28길공영노상서울특별시 강남구 논현로 30길서울특별시 강남구 도곡동 517-10662요일제평일09:0019:0000:0000:0000:0000:00유료530056001024000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
9122-1-000014영동대로106길공영노상서울특별시 강남구 영동대로106길33서울특별시 강남구 삼성동 162-23622요일제평일09:0019:0000:0000:0000:0000:00유료530056001024000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
42122-2-000023대청역공영노외서울특별시 강남구 개포로623-1서울특별시 강남구 개포동 13-21684요일제평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료51000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
43122-2-000027일원1동공영노외서울특별시 강남구 양재대로 27길 5서울특별시 강남구 일원동 684-8684요일제평일06:0022:0000:0000:0000:0000:00유료51000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
44122-2-000024영희초교공영노외서울특별시 강남구 일원로21서울특별시 강남구 일원동 6171874요일제평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료51000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
45122-2-000028대왕초교공영노외서울특별시 강남구 헌릉로 618길 8서울특별시 강남구 세곡동 122-21004요일제평일09:0019:0000:0000:0000:0000:00유료51000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
46122-3-000001구청 부설공영부설서울특별시 강남구 학동로426서울특별시 강남구 삼성동 16-142012요일제평일09:0018:0000:0000:0000:0000:00유료53000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
47122-3-000002삼성로별관 부설공영부설서울특별시 강남구 삼성로628서울특별시 강남구 삼성동 66452요일제평일09:0018:0000:0000:0000:0000:00유료53000000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
48122-1-000001강남대로150길공영노상서울특별시 강남구 도산대로 108서울특별시 강남구 논현동 171요일제평일10:0020:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
49122-1-000002논현로131길공영노상서울특별시 강남구 학동로171서울특별시 강남구 논현동 58211요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
50122-1-000003테헤란로69길공영노상서울특별시 강남구 테헤란로 69길서울특별시 강남구 삼성동 142131요일제평일09:0019:0000:0000:0000:0000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05
51122-2-000026밤고개로21길공영노외서울특별시 강남구 개포로623-1서울특별시 강남구 개포동 13-21104요일제평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료51000000<NA>카드<NA>강남구도시관리공단1544-3113<NA><NA>2019-03-05