Overview

Dataset statistics

Number of variables32
Number of observations49
Missing cells30
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory270.7 B

Variable types

Numeric6
Text4
Categorical22

Dataset

Description파일 다운로드
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-13234/F/1/datasetView.do

Alerts

요금정보 has constant value ""Constant
주차기본시간 has constant value ""Constant
결제방법 has constant value ""Constant
데이터기준일자 has constant value ""Constant
토요일운영시작시각 is highly imbalanced (55.4%)Imbalance
토요일운영종료시각 is highly imbalanced (63.2%)Imbalance
공휴일운영시작시각 is highly imbalanced (59.3%)Imbalance
공휴일운영종료시각 is highly imbalanced (69.2%)Imbalance
전화번호 is highly imbalanced (52.3%)Imbalance
소재지도로명주소 has 30 (61.2%) missing valuesMissing
순번 has unique valuesUnique
주차장관리번호 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 09:23:07.369150
Analysis finished2023-12-11 09:23:07.838937
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:07.919754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-11T18:23:08.106104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

주차장관리번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T18:23:08.413218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
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

Unique49 ?
Unique (%)100.0%

Sample

1st row117-1-000006
2nd row117-1-000007
3rd row117-1-000008
4th row117-1-000009
5th row117-1-000010
ValueCountFrequency (%)
117-1-000006 1
 
2.0%
117-2-000007 1
 
2.0%
117-2-000009 1
 
2.0%
117-2-000010 1
 
2.0%
117-2-000011 1
 
2.0%
117-2-000012 1
 
2.0%
117-4-000001 1
 
2.0%
117-4-000002 1
 
2.0%
117-4-000003 1
 
2.0%
117-4-000005 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T18:23:08.943204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 225
38.3%
1 145
24.7%
- 98
16.7%
7 52
 
8.8%
2 26
 
4.4%
4 18
 
3.1%
6 6
 
1.0%
3 6
 
1.0%
5 5
 
0.9%
9 4
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 225
45.9%
1 145
29.6%
7 52
 
10.6%
2 26
 
5.3%
4 18
 
3.7%
6 6
 
1.2%
3 6
 
1.2%
5 5
 
1.0%
9 4
 
0.8%
8 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 225
38.3%
1 145
24.7%
- 98
16.7%
7 52
 
8.8%
2 26
 
4.4%
4 18
 
3.1%
6 6
 
1.0%
3 6
 
1.0%
5 5
 
0.9%
9 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 225
38.3%
1 145
24.7%
- 98
16.7%
7 52
 
8.8%
2 26
 
4.4%
4 18
 
3.1%
6 6
 
1.0%
3 6
 
1.0%
5 5
 
0.9%
9 4
 
0.7%

주차장명
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T18:23:09.222327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.8367347
Min length2

Characters and Unicode

Total characters237
Distinct characters117
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row메이퀸컨벤션 뒤
2nd row조양화학
3rd row유진골프장
4th row모아래5길
5th row세라믹기술원
ValueCountFrequency (%)
가산디지털환승 2
 
3.7%
독산4동 2
 
3.7%
현대주차장 1
 
1.9%
남문주차장 1
 
1.9%
시흥3동 1
 
1.9%
삼성 1
 
1.9%
효봉 1
 
1.9%
시흥4동 1
 
1.9%
가산디지털 1
 
1.9%
노외 1
 
1.9%
Other values (42) 42
77.8%
2023-12-11T18:23:10.016510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 13
 
5.5%
장 11
 
4.6%
동 10
 
4.2%
주 10
 
4.2%
차 9
 
3.8%
가 7
 
3.0%
독 5
 
2.1%
5
 
2.1%
털 4
 
1.7%
지 4
 
1.7%
Other values (107) 159
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
90.7%
Decimal Number 9
 
3.8%
Space Separator 5
 
2.1%
Uppercase Letter 4
 
1.7%
Lowercase Letter 2
 
0.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
6.0%
장 11
 
5.1%
동 10
 
4.7%
주 10
 
4.7%
차 9
 
4.2%
가 7
 
3.3%
독 5
 
2.3%
털 4
 
1.9%
지 4
 
1.9%
전 4
 
1.9%
Other values (93) 138
64.2%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
1 2
22.2%
3 2
22.2%
2 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
S 1
25.0%
L 1
25.0%
G 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
90.7%
Common 16
 
6.8%
Latin 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 13
 
6.0%
장 11
 
5.1%
동 10
 
4.7%
주 10
 
4.7%
차 9
 
4.2%
가 7
 
3.3%
독 5
 
2.3%
털 4
 
1.9%
지 4
 
1.9%
전 4
 
1.9%
Other values (93) 138
64.2%
Common
ValueCountFrequency (%)
5
31.2%
4 3
18.8%
1 2
 
12.5%
3 2
 
12.5%
2 1
 
6.2%
) 1
 
6.2%
( 1
 
6.2%
5 1
 
6.2%
Latin
ValueCountFrequency (%)
J 1
16.7%
k 1
16.7%
s 1
16.7%
S 1
16.7%
L 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
90.7%
ASCII 22
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 13
 
6.0%
장 11
 
5.1%
동 10
 
4.7%
주 10
 
4.7%
차 9
 
4.2%
가 7
 
3.3%
독 5
 
2.3%
털 4
 
1.9%
지 4
 
1.9%
전 4
 
1.9%
Other values (93) 138
64.2%
ASCII
ValueCountFrequency (%)
5
22.7%
4 3
13.6%
1 2
 
9.1%
3 2
 
9.1%
2 1
 
4.5%
J 1
 
4.5%
k 1
 
4.5%
s 1
 
4.5%
S 1
 
4.5%
) 1
 
4.5%
Other values (4) 4
18.2%

주차장구분
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
공영
36 
민영
13 

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 36
73.5%
민영 13
 
26.5%

Length

2023-12-11T18:23:10.137743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:10.233416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 36
73.5%
민영 13
 
26.5%

주차장유형
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
노외
26 
노상
23 

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 26
53.1%
노상 23
46.9%

Length

2023-12-11T18:23:10.348126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:10.453425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 26
53.1%
노상 23
46.9%

소재지도로명주소
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing30
Missing (%)61.2%
Memory size524.0 B
2023-12-11T18:23:10.665346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.263158
Min length17

Characters and Unicode

Total characters385
Distinct characters34
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

Unique17 ?
Unique (%)89.5%

Sample

1st row서울특별시 금천구 시흥대로 153길 53
2nd row서울특별시 금천구 범안로 12가길 65
3rd row서울특별시 금천구 시흥대로 98길 36
4th row서울특별시 금천구 독산로 108길 44
5th row서울특별시 금천구 시흥대로 150길 56
ValueCountFrequency (%)
서울특별시 19
21.3%
금천구 19
21.3%
시흥대로 7
 
7.9%
독산로 7
 
7.9%
벚꽃로 2
 
2.2%
309 2
 
2.2%
범안로 2
 
2.2%
101길 1
 
1.1%
20 1
 
1.1%
50마길 1
 
1.1%
Other values (28) 28
31.5%
2023-12-11T18:23:11.056689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
18.2%
시 26
 
6.8%
금 20
 
5.2%
서 19
 
4.9%
특 19
 
4.9%
별 19
 
4.9%
천 19
 
4.9%
구 19
 
4.9%
울 19
 
4.9%
로 19
 
4.9%
Other values (24) 136
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
61.3%
Decimal Number 77
 
20.0%
Space Separator 70
 
18.2%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
11.0%
금 20
8.5%
서 19
8.1%
특 19
8.1%
별 19
8.1%
천 19
8.1%
구 19
8.1%
울 19
8.1%
로 19
8.1%
길 15
 
6.4%
Other values (12) 42
17.8%
Decimal Number
ValueCountFrequency (%)
3 12
15.6%
1 12
15.6%
0 10
13.0%
5 8
10.4%
4 7
9.1%
8 7
9.1%
2 6
7.8%
9 6
7.8%
6 6
7.8%
7 3
 
3.9%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
61.3%
Common 149
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
11.0%
금 20
8.5%
서 19
8.1%
특 19
8.1%
별 19
8.1%
천 19
8.1%
구 19
8.1%
울 19
8.1%
로 19
8.1%
길 15
 
6.4%
Other values (12) 42
17.8%
Common
ValueCountFrequency (%)
70
47.0%
3 12
 
8.1%
1 12
 
8.1%
0 10
 
6.7%
5 8
 
5.4%
4 7
 
4.7%
8 7
 
4.7%
2 6
 
4.0%
9 6
 
4.0%
6 6
 
4.0%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
61.3%
ASCII 149
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
47.0%
3 12
 
8.1%
1 12
 
8.1%
0 10
 
6.7%
5 8
 
5.4%
4 7
 
4.7%
8 7
 
4.7%
2 6
 
4.0%
9 6
 
4.0%
6 6
 
4.0%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
시 26
11.0%
금 20
8.5%
서 19
8.1%
특 19
8.1%
별 19
8.1%
천 19
8.1%
구 19
8.1%
울 19
8.1%
로 19
8.1%
길 15
 
6.4%
Other values (12) 42
17.8%

소재지지번주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T18:23:11.364724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.734694
Min length17

Characters and Unicode

Total characters967
Distinct characters25
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 (%)100.0%

Sample

1st row서울특별시 금천구 독산1동 152-1
2nd row서울특별시 금천구 독산1동 336-25
3rd row서울특별시 금천구 독산1동 1081-3
4th row서울특별시 금천구 독산1동 336-3
5th row서울특별시 금천구 가산동 237-101
ValueCountFrequency (%)
서울특별시 49
25.0%
금천구 49
25.0%
가산동 17
 
8.7%
독산동 16
 
8.2%
독산1동 9
 
4.6%
시흥동 7
 
3.6%
300-26 1
 
0.5%
1011-13 1
 
0.5%
1001-2 1
 
0.5%
555-3 1
 
0.5%
Other values (45) 45
23.0%
2023-12-11T18:23:11.840025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
15.2%
시 56
 
5.8%
1 50
 
5.2%
서 49
 
5.1%
천 49
 
5.1%
울 49
 
5.1%
구 49
 
5.1%
동 49
 
5.1%
금 49
 
5.1%
별 49
 
5.1%
Other values (15) 371
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
55.7%
Decimal Number 234
24.2%
Space Separator 147
 
15.2%
Dash Punctuation 47
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 56
10.4%
서 49
9.1%
천 49
9.1%
울 49
9.1%
구 49
9.1%
동 49
9.1%
금 49
9.1%
별 49
9.1%
특 49
9.1%
산 42
7.8%
Other values (3) 49
9.1%
Decimal Number
ValueCountFrequency (%)
1 50
21.4%
0 29
12.4%
3 28
12.0%
2 26
11.1%
8 18
 
7.7%
6 17
 
7.3%
5 17
 
7.3%
4 17
 
7.3%
7 16
 
6.8%
9 16
 
6.8%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
55.7%
Common 428
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 56
10.4%
서 49
9.1%
천 49
9.1%
울 49
9.1%
구 49
9.1%
동 49
9.1%
금 49
9.1%
별 49
9.1%
특 49
9.1%
산 42
7.8%
Other values (3) 49
9.1%
Common
ValueCountFrequency (%)
147
34.3%
1 50
 
11.7%
- 47
 
11.0%
0 29
 
6.8%
3 28
 
6.5%
2 26
 
6.1%
8 18
 
4.2%
6 17
 
4.0%
5 17
 
4.0%
4 17
 
4.0%
Other values (2) 32
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
55.7%
ASCII 428
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
34.3%
1 50
 
11.7%
- 47
 
11.0%
0 29
 
6.8%
3 28
 
6.5%
2 26
 
6.1%
8 18
 
4.2%
6 17
 
4.0%
5 17
 
4.0%
4 17
 
4.0%
Other values (2) 32
 
7.5%
Hangul
ValueCountFrequency (%)
시 56
10.4%
서 49
9.1%
천 49
9.1%
울 49
9.1%
구 49
9.1%
동 49
9.1%
금 49
9.1%
별 49
9.1%
특 49
9.1%
산 42
7.8%
Other values (3) 49
9.1%

주차구획수
Real number (ℝ)

Distinct40
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.44898
Minimum5
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:12.006967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.8
Q124
median39
Q360
95-th percentile123.2
Maximum172
Range167
Interquartile range (IQR)36

Descriptive statistics

Standard deviation34.24365
Coefficient of variation (CV)0.73723148
Kurtosis3.4511906
Mean46.44898
Median Absolute Deviation (MAD)17
Skewness1.7111472
Sum2276
Variance1172.6276
MonotonicityNot monotonic
2023-12-11T18:23:12.175805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
22 2
 
4.1%
41 2
 
4.1%
66 2
 
4.1%
31 2
 
4.1%
19 2
 
4.1%
20 2
 
4.1%
39 2
 
4.1%
27 2
 
4.1%
40 2
 
4.1%
5 1
 
2.0%
Other values (30) 30
61.2%
ValueCountFrequency (%)
5 1
2.0%
6 1
2.0%
9 1
2.0%
11 1
2.0%
12 1
2.0%
13 1
2.0%
19 2
4.1%
20 2
4.1%
22 2
4.1%
24 1
2.0%
ValueCountFrequency (%)
172 1
2.0%
130 1
2.0%
124 1
2.0%
122 1
2.0%
85 1
2.0%
82 1
2.0%
78 1
2.0%
69 1
2.0%
67 1
2.0%
66 2
4.1%

급지구분
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2
22 
3
14 
5
12 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 22
44.9%
3 14
28.6%
5 12
24.5%
4 1
 
2.0%

Length

2023-12-11T18:23:12.323535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:12.452523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 22
44.9%
3 14
28.6%
5 12
24.5%
4 1
 
2.0%

부제시행구분
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
요일제
36 
미시행
13 

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 36
73.5%
미시행 13
 
26.5%

Length

2023-12-11T18:23:12.605057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:12.745399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 36
73.5%
미시행 13
 
26.5%

운영요일
Categorical

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
평일
24 
평일+토요일+공휴일
23 
평일+토요일
 
2

Length

Max length10
Median length6
Mean length5.9183673
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 24
49.0%
평일+토요일+공휴일 23
46.9%
평일+토요일 2
 
4.1%

Length

2023-12-11T18:23:12.886549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:13.024409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 24
49.0%
평일+토요일+공휴일 23
46.9%
평일+토요일 2
 
4.1%

평일운영시작시각
Categorical

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
08:30
23 
00:00
16 
09:00
4 
07:00
3 
06:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row08:30
2nd row08:30
3rd row08:30
4th row08:30
5th row08:30

Common Values

ValueCountFrequency (%)
08:30 23
46.9%
00:00 16
32.7%
09:00 4
 
8.2%
07:00 3
 
6.1%
06:00 2
 
4.1%
08:00 1
 
2.0%

Length

2023-12-11T18:23:13.171169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:13.304407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08:30 23
46.9%
00:00 16
32.7%
09:00 4
 
8.2%
07:00 3
 
6.1%
06:00 2
 
4.1%
08:00 1
 
2.0%

평일운영종료시각
Categorical

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
19:00
23 
00:00
17 
18:00
3 
20:00
3 
12:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
19:00 23
46.9%
00:00 17
34.7%
18:00 3
 
6.1%
20:00 3
 
6.1%
12:00 1
 
2.0%
22:00 1
 
2.0%
23:00 1
 
2.0%

Length

2023-12-11T18:23:13.427984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:13.566212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 23
46.9%
00:00 17
34.7%
18:00 3
 
6.1%
20:00 3
 
6.1%
12:00 1
 
2.0%
22:00 1
 
2.0%
23:00 1
 
2.0%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
00:00
40 
07:00
 
3
09:00
 
3
06:00
 
2
10:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 40
81.6%
07:00 3
 
6.1%
09:00 3
 
6.1%
06:00 2
 
4.1%
10:00 1
 
2.0%

Length

2023-12-11T18:23:13.715265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:13.823878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 40
81.6%
07:00 3
 
6.1%
09:00 3
 
6.1%
06:00 2
 
4.1%
10:00 1
 
2.0%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
00:00
42 
20:00
 
3
18:00
 
2
22:00
 
1
23:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 42
85.7%
20:00 3
 
6.1%
18:00 2
 
4.1%
22:00 1
 
2.0%
23:00 1
 
2.0%

Length

2023-12-11T18:23:13.968725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:14.138686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 42
85.7%
20:00 3
 
6.1%
18:00 2
 
4.1%
22:00 1
 
2.0%
23:00 1
 
2.0%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
00:00
42 
09:00
 
3
07:00
 
2
06:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 42
85.7%
09:00 3
 
6.1%
07:00 2
 
4.1%
06:00 2
 
4.1%

Length

2023-12-11T18:23:14.344452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:14.553272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 42
85.7%
09:00 3
 
6.1%
07:00 2
 
4.1%
06:00 2
 
4.1%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
00:00
44 
20:00
 
3
18:00
 
1
23:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 44
89.8%
20:00 3
 
6.1%
18:00 1
 
2.0%
23:00 1
 
2.0%

Length

2023-12-11T18:23:14.762815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:14.967522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 44
89.8%
20:00 3
 
6.1%
18:00 1
 
2.0%
23:00 1
 
2.0%

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
유료
49 

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 49
100.0%

Length

2023-12-11T18:23:15.185868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:15.390259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 49
100.0%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
30
49 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 49
100.0%

Length

2023-12-11T18:23:15.686253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:15.866456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 49
100.0%

주차기본요금
Categorical

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
1500
29 
390
12 
1000
6 
900
 
1
500
 
1

Length

Max length4
Median length4
Mean length3.7142857
Min length3

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st row1500
2nd row1500
3rd row1500
4th row1500
5th row1500

Common Values

ValueCountFrequency (%)
1500 29
59.2%
390 12
24.5%
1000 6
 
12.2%
900 1
 
2.0%
500 1
 
2.0%

Length

2023-12-11T18:23:16.068068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:16.294969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1500 29
59.2%
390 12
24.5%
1000 6
 
12.2%
900 1
 
2.0%
500 1
 
2.0%

추가단위시간
Categorical

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
5
36 
10
11 
30
 
2

Length

Max length2
Median length1
Mean length1.2653061
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5 36
73.5%
10 11
 
22.4%
30 2
 
4.1%

Length

2023-12-11T18:23:16.532346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:16.721653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 36
73.5%
10 11
 
22.4%
30 2
 
4.1%

추가단위요금
Real number (ℝ)

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.22449
Minimum65
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:16.893888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile65
Q1100
median250
Q3250
95-th percentile500
Maximum1000
Range935
Interquartile range (IQR)150

Descriptive statistics

Standard deviation211.4152
Coefficient of variation (CV)0.75176667
Kurtosis3.7086815
Mean281.22449
Median Absolute Deviation (MAD)150
Skewness1.6484627
Sum13780
Variance44696.386
MonotonicityNot monotonic
2023-12-11T18:23:17.084517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
250 23
46.9%
65 12
24.5%
500 10
20.4%
1000 2
 
4.1%
150 1
 
2.0%
100 1
 
2.0%
ValueCountFrequency (%)
65 12
24.5%
100 1
 
2.0%
150 1
 
2.0%
250 23
46.9%
500 10
20.4%
1000 2
 
4.1%
ValueCountFrequency (%)
1000 2
 
4.1%
500 10
20.4%
250 23
46.9%
150 1
 
2.0%
100 1
 
2.0%
65 12
24.5%

1일주차권요금적용시간
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
600
37 
0
12 

Length

Max length3
Median length3
Mean length2.5102041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600
2nd row600
3rd row600
4th row600
5th row600

Common Values

ValueCountFrequency (%)
600 37
75.5%
0 12
 
24.5%

Length

2023-12-11T18:23:17.324829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:17.530337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
600 37
75.5%
0 12
 
24.5%

1일주차권요금
Categorical

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
15000
26 
0
12 
10000
9 
9000
 
1
5000
 
1

Length

Max length5
Median length5
Mean length3.9795918
Min length1

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st row15000
2nd row15000
3rd row15000
4th row15000
5th row15000

Common Values

ValueCountFrequency (%)
15000 26
53.1%
0 12
24.5%
10000 9
 
18.4%
9000 1
 
2.0%
5000 1
 
2.0%

Length

2023-12-11T18:23:17.771368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:18.054806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15000 26
53.1%
0 12
24.5%
10000 9
 
18.4%
9000 1
 
2.0%
5000 1
 
2.0%

월정기권요금
Real number (ℝ)

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104132.65
Minimum50000
Maximum130000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:18.258317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile50000
Q180000
median130000
Q3130000
95-th percentile130000
Maximum130000
Range80000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation33686.48
Coefficient of variation (CV)0.32349584
Kurtosis-1.0858907
Mean104132.65
Median Absolute Deviation (MAD)0
Skewness-0.83985029
Sum5102500
Variance1.1347789 × 109
MonotonicityNot monotonic
2023-12-11T18:23:18.501472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
130000 25
51.0%
50000 12
24.5%
120000 5
 
10.2%
100000 4
 
8.2%
90000 1
 
2.0%
80000 1
 
2.0%
82500 1
 
2.0%
ValueCountFrequency (%)
50000 12
24.5%
80000 1
 
2.0%
82500 1
 
2.0%
90000 1
 
2.0%
100000 4
 
8.2%
120000 5
 
10.2%
130000 25
51.0%
ValueCountFrequency (%)
130000 25
51.0%
120000 5
 
10.2%
100000 4
 
8.2%
90000 1
 
2.0%
82500 1
 
2.0%
80000 1
 
2.0%
50000 12
24.5%

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
카드 및 현금
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카드 및 현금
2nd row카드 및 현금
3rd row카드 및 현금
4th row카드 및 현금
5th row카드 및 현금

Common Values

ValueCountFrequency (%)
카드 및 현금 49
100.0%

Length

2023-12-11T18:23:18.750021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:18.880490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드 49
33.3%
및 49
33.3%
현금 49
33.3%

특기사항
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
경차50퍼센트할인
36 
<NA>
13 

Length

Max length9
Median length9
Mean length7.6734694
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경차50퍼센트할인
2nd row경차50퍼센트할인
3rd row경차50퍼센트할인
4th row경차50퍼센트할인
5th row경차50퍼센트할인

Common Values

ValueCountFrequency (%)
경차50퍼센트할인 36
73.5%
<NA> 13
 
26.5%

Length

2023-12-11T18:23:19.002377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:19.114564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경차50퍼센트할인 36
73.5%
na 13
 
26.5%

관리기관명
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
서울특별시 금천구청
36 
민간
13 

Length

Max length10
Median length10
Mean length7.877551
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 금천구청 36
73.5%
민간 13
 
26.5%

Length

2023-12-11T18:23:19.287912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:19.427904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 36
42.4%
금천구청 36
42.4%
민간 13
 
15.3%

전화번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
02-2627-1732
36 
<NA>
9 
02-802-1234
 
1
02-803-0994
 
1
02-858-8285
 
1

Length

Max length12
Median length12
Mean length10.44898
Min length4

Unique

Unique4 ?
Unique (%)8.2%

Sample

1st row02-2627-1732
2nd row02-2627-1732
3rd row02-2627-1732
4th row02-2627-1732
5th row02-2627-1732

Common Values

ValueCountFrequency (%)
02-2627-1732 36
73.5%
<NA> 9
 
18.4%
02-802-1234 1
 
2.0%
02-803-0994 1
 
2.0%
02-858-8285 1
 
2.0%
02-803-4041 1
 
2.0%

Length

2023-12-11T18:23:19.572889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:19.734559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2627-1732 36
73.5%
na 9
 
18.4%
02-802-1234 1
 
2.0%
02-803-0994 1
 
2.0%
02-858-8285 1
 
2.0%
02-803-4041 1
 
2.0%

위도
Real number (ℝ)

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.470675
Minimum37.442898
Maximum37.485659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:19.912230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.442898
5-th percentile37.45946
Q137.468115
median37.470784
Q337.47454
95-th percentile37.482148
Maximum37.485659
Range0.0427606
Interquartile range (IQR)0.0064253

Descriptive statistics

Standard deviation0.0076541352
Coefficient of variation (CV)0.00020427001
Kurtosis2.6779639
Mean37.470675
Median Absolute Deviation (MAD)0.0033631
Skewness-0.90873662
Sum1836.0631
Variance5.8585785 × 10-5
MonotonicityNot monotonic
2023-12-11T18:23:20.081487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
37.4681147 5
 
10.2%
37.47454 1
 
2.0%
37.4691388 1
 
2.0%
37.4637858 1
 
2.0%
37.4593093 1
 
2.0%
37.4740289 1
 
2.0%
37.4728435 1
 
2.0%
37.4666331 1
 
2.0%
37.4695052 1
 
2.0%
37.4705585 1
 
2.0%
Other values (35) 35
71.4%
ValueCountFrequency (%)
37.4428983 1
2.0%
37.4545448 1
2.0%
37.4593093 1
2.0%
37.4596867 1
2.0%
37.4607323 1
2.0%
37.4635181 1
2.0%
37.4637858 1
2.0%
37.4638245 1
2.0%
37.4650745 1
2.0%
37.4663289 1
2.0%
ValueCountFrequency (%)
37.4856589 1
2.0%
37.483859 1
2.0%
37.4824274 1
2.0%
37.481728 1
2.0%
37.4794495 1
2.0%
37.4793995 1
2.0%
37.4789473 1
2.0%
37.4784241 1
2.0%
37.477821 1
2.0%
37.4769001 1
2.0%

경도
Real number (ℝ)

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89387
Minimum126.87955
Maximum126.91095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T18:23:20.241956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.87955
5-th percentile126.88222
Q1126.88781
median126.8941
Q3126.89935
95-th percentile126.90794
Maximum126.91095
Range0.0314012
Interquartile range (IQR)0.0115395

Descriptive statistics

Standard deviation0.0081835308
Coefficient of variation (CV)6.4491142 × 10-5
Kurtosis-0.85271723
Mean126.89387
Median Absolute Deviation (MAD)0.005932
Skewness0.16875613
Sum6217.7998
Variance6.6970176 × 10-5
MonotonicityNot monotonic
2023-12-11T18:23:20.430789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
126.8981936 5
 
10.2%
126.8881272 1
 
2.0%
126.8948047 1
 
2.0%
126.8967453 1
 
2.0%
126.8993451 1
 
2.0%
126.9038233 1
 
2.0%
126.9016249 1
 
2.0%
126.9009063 1
 
2.0%
126.8994072 1
 
2.0%
126.8988286 1
 
2.0%
Other values (35) 35
71.4%
ValueCountFrequency (%)
126.8795453 1
2.0%
126.8817681 1
2.0%
126.8819725 1
2.0%
126.8825889 1
2.0%
126.8826263 1
2.0%
126.883311 1
2.0%
126.8834684 1
2.0%
126.8838539 1
2.0%
126.8846022 1
2.0%
126.884809 1
2.0%
ValueCountFrequency (%)
126.9109465 1
2.0%
126.9090436 1
2.0%
126.9090029 1
2.0%
126.9063344 1
2.0%
126.905723 1
2.0%
126.9044936 1
2.0%
126.9038233 1
2.0%
126.9016249 1
2.0%
126.9009063 1
2.0%
126.9008999 1
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2018-03-28
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-03-28
2nd row2018-03-28
3rd row2018-03-28
4th row2018-03-28
5th row2018-03-28

Common Values

ValueCountFrequency (%)
2018-03-28 49
100.0%

Length

2023-12-11T18:23:20.586127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:23:20.673036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-03-28 49
100.0%

Sample

순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
01117-1-000006메이퀸컨벤션 뒤공영노상<NA>서울특별시 금천구 독산1동 152-1222요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.47454126.8881272018-03-28
12117-1-000007조양화학공영노상<NA>서울특별시 금천구 독산1동 336-25672요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.477821126.8894922018-03-28
23117-1-000008유진골프장공영노상<NA>서울특별시 금천구 독산1동 1081-3402요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.478947126.8888242018-03-28
34117-1-000009모아래5길공영노상<NA>서울특별시 금천구 독산1동 336-3302요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.483859126.8817682018-03-28
45117-1-000010세라믹기술원공영노상<NA>서울특별시 금천구 가산동 237-101402요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.479399126.8846022018-03-28
56117-1-000011기륭전자공영노상<NA>서울특별시 금천구 가산동 219-7272요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.4769126.8848092018-03-28
67117-1-000012LG전자공영노상<NA>서울특별시 금천구 가산동 60-32392요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.478424126.8833112018-03-28
78117-1-000013우리은행공영노상<NA>서울특별시 금천구 가산동 60-10122요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.474601126.8834682018-03-28
89117-1-000014만승뒤(협동봉제)공영노상<NA>서울특별시 금천구 가산동 139-18112요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.470784126.886742018-03-28
910117-1-000015가산디지털환승공영노상<NA>서울특별시 금천구 가산동 35-2414요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.474147126.8825892018-03-28
순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
3940117-4-000011문성주차장민영노외<NA>서울특별시 금천구 독산동 285-2863미시행평일+토요일08:3019:0000:0000:0000:0000:00유료30150010500600500080000카드 및 현금<NA>민간<NA>37.46893126.8934682018-03-28
4041117-4-000012새울민영노외<NA>서울특별시 금천구 독산동 287-6853미시행평일+토요일+공휴일08:3019:0000:0000:0000:0000:00유료3015001050060015000130000카드 및 현금<NA>민간02-858-828537.473332126.8941022018-03-28
4142117-4-000013독산4동 제일주차장민영노외<NA>서울특별시 금천구 독산동 197-5323미시행평일+토요일+공휴일08:3019:0000:0000:0000:0000:00유료30100030100060010000120000카드 및 현금<NA>민간<NA>37.467503126.8898742018-03-28
4243117-4-000014새서울 주차장민영노외서울특별시 금천구 금하로 14길6-16서울특별시 금천구 시흥동 886-141223미시행평일+토요일+공휴일08:3019:0000:0000:0000:0000:00유료301000101006001000082500카드 및 현금<NA>민간<NA>37.471289126.8911992018-03-28
4344117-4-000016은행나무민영노외<NA>서울특별시 금천구 시흥동 830-1253미시행평일+토요일+공휴일08:3019:0000:0000:0000:0000:00유료30150030100060010000100000카드 및 현금<NA>민간02-803-404137.472407126.8976832018-03-28
4445117-1-000001가산중앞공영노상<NA>서울특별시 금천구 독산1동 300-26192요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.471538126.8872842018-03-28
4546117-1-000002가산중뒤공영노상<NA>서울특별시 금천구 독산1동 330-7392요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.468156126.8887712018-03-28
4647117-1-000003두산공원공영노상<NA>서울특별시 금천구 독산1동 297-20332요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.471578126.8889962018-03-28
4748117-1-000004범일운수공영노상<NA>서울특별시 금천구 독산1동 1001-2412요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.473685126.8894392018-03-28
4849117-1-000005사조냉장공영노상<NA>서울특별시 금천구 독산1동 303-2272요일제평일08:3019:0000:0000:0000:0000:00유료301500525060015000130000카드 및 현금경차50퍼센트할인서울특별시 금천구청02-2627-173237.474041126.8878062018-03-28