Overview

Dataset statistics

Number of variables25
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory219.5 B

Variable types

Categorical20
Text2
Numeric3

Dataset

Description지구별,주차장별,위치정보(위도),위치정보(경도),주소,면수,장애면수,정기면수,주중 이용시간 시작,주중 이용시간 종료,주말 이용시간 시작,주말 이용시간 종료,면제시간,기본시간,기본요금,간격시간,간격요금,전일요금,주간요금,야간요금,정기금금액,주차장 운영업체,업체 전화번호,운영 시작기간,운영 종료기간
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21083/S/1/datasetView.do

Alerts

장애면수 has constant value ""Constant
정기면수 has constant value ""Constant
주중 이용시간 시작 has constant value ""Constant
주중 이용시간 종료 has constant value ""Constant
주말 이용시간 시작 has constant value ""Constant
주말 이용시간 종료 has constant value ""Constant
간격시간 has constant value ""Constant
주간요금 has constant value ""Constant
야간요금 has constant value ""Constant
주차장별 has unique valuesUnique
위치정보(위도) has unique valuesUnique
위치정보(경도) has unique valuesUnique

Reproduction

Analysis started2024-05-10 23:33:25.540841
Analysis finished2024-05-10 23:33:26.236743
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지구별
Categorical

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
여의도
5 
망원
3 
양화
3 
이촌
3 
광나루
2 
Other values (5)
8 

Length

Max length3
Median length2
Mean length2.2916667
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row강서
2nd row광나루
3rd row광나루
4th row난지
5th row망원

Common Values

ValueCountFrequency (%)
여의도 5
20.8%
망원 3
12.5%
양화 3
12.5%
이촌 3
12.5%
광나루 2
 
8.3%
반포 2
 
8.3%
잠실 2
 
8.3%
잠원 2
 
8.3%
강서 1
 
4.2%
난지 1
 
4.2%

Length

2024-05-10T23:33:26.489852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:26.862885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여의도 5
20.8%
망원 3
12.5%
양화 3
12.5%
이촌 3
12.5%
광나루 2
 
8.3%
반포 2
 
8.3%
잠실 2
 
8.3%
잠원 2
 
8.3%
강서 1
 
4.2%
난지 1
 
4.2%

주차장별
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-10T23:33:27.443116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length6.875
Min length6

Characters and Unicode

Total characters165
Distinct characters31
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

Unique24 ?
Unique (%)100.0%

Sample

1st row강서1주차장
2nd row광나루1,2주차장
3rd row광나루3주차장
4th row난지1,2,3주차장
5th row망원1주차장
ValueCountFrequency (%)
강서1주차장 1
 
4.2%
광나루1,2주차장 1
 
4.2%
잠원1주차장 1
 
4.2%
잠실4주차장 1
 
4.2%
잠실1주차장 1
 
4.2%
이촌3,4주차장 1
 
4.2%
이촌2주차장 1
 
4.2%
이촌1주차장 1
 
4.2%
여의도5주차장 1
 
4.2%
여의도4주차장 1
 
4.2%
Other values (14) 14
58.3%
2024-05-10T23:33:29.085614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
14.5%
차 24
14.5%
장 24
14.5%
1 10
 
6.1%
2 8
 
4.8%
3 7
 
4.2%
, 6
 
3.6%
원 5
 
3.0%
도 5
 
3.0%
의 5
 
3.0%
Other values (21) 47
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
77.0%
Decimal Number 31
 
18.8%
Other Punctuation 6
 
3.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
18.9%
차 24
18.9%
장 24
18.9%
원 5
 
3.9%
도 5
 
3.9%
의 5
 
3.9%
여 5
 
3.9%
잠 4
 
3.1%
화 3
 
2.4%
양 3
 
2.4%
Other values (13) 25
19.7%
Decimal Number
ValueCountFrequency (%)
1 10
32.3%
2 8
25.8%
3 7
22.6%
4 4
 
12.9%
5 1
 
3.2%
6 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
77.0%
Common 38
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
18.9%
차 24
18.9%
장 24
18.9%
원 5
 
3.9%
도 5
 
3.9%
의 5
 
3.9%
여 5
 
3.9%
잠 4
 
3.1%
화 3
 
2.4%
양 3
 
2.4%
Other values (13) 25
19.7%
Common
ValueCountFrequency (%)
1 10
26.3%
2 8
21.1%
3 7
18.4%
, 6
15.8%
4 4
 
10.5%
- 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
77.0%
ASCII 38
 
23.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
18.9%
차 24
18.9%
장 24
18.9%
원 5
 
3.9%
도 5
 
3.9%
의 5
 
3.9%
여 5
 
3.9%
잠 4
 
3.1%
화 3
 
2.4%
양 3
 
2.4%
Other values (13) 25
19.7%
ASCII
ValueCountFrequency (%)
1 10
26.3%
2 8
21.1%
3 7
18.4%
, 6
15.8%
4 4
 
10.5%
- 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%

위치정보(위도)
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.53411
Minimum37.510071
Maximum37.585709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-10T23:33:29.687900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.510071
5-th percentile37.513913
Q137.517945
median37.528908
Q337.544567
95-th percentile37.567811
Maximum37.585709
Range0.0756377
Interquartile range (IQR)0.026621991

Descriptive statistics

Standard deviation0.019114763
Coefficient of variation (CV)0.00050926379
Kurtosis0.88368691
Mean37.53411
Median Absolute Deviation (MAD)0.0116639
Skewness1.0603367
Sum900.81864
Variance0.00036537417
MonotonicityNot monotonic
2024-05-10T23:33:30.139529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.585709 1
 
4.2%
37.5290743 1
 
4.2%
37.5287415 1
 
4.2%
37.5244402561831 1
 
4.2%
37.5176276345914 1
 
4.2%
37.5199405 1
 
4.2%
37.5175315 1
 
4.2%
37.5157374 1
 
4.2%
37.5180507 1
 
4.2%
37.5169565 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
37.5100713 1
4.2%
37.5135907 1
4.2%
37.5157374 1
4.2%
37.5169565 1
4.2%
37.5175315 1
4.2%
37.5176276345914 1
4.2%
37.5180507 1
4.2%
37.5199405 1
4.2%
37.522752 1
4.2%
37.5244402561831 1
4.2%
ValueCountFrequency (%)
37.585709 1
4.2%
37.56982189 1
4.2%
37.5564177 1
4.2%
37.553885 1
4.2%
37.5499925 1
4.2%
37.5448802 1
4.2%
37.5444625 1
4.2%
37.543078 1
4.2%
37.5398791 1
4.2%
37.5373673 1
4.2%

위치정보(경도)
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96419
Minimum126.81828
Maximum127.12316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-10T23:33:30.533573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.81828
5-th percentile126.87643
Q1126.90333
median126.93725
Q3127.00642
95-th percentile127.11421
Maximum127.12316
Range0.304881
Interquartile range (IQR)0.10309196

Descriptive statistics

Standard deviation0.081036802
Coefficient of variation (CV)0.00063826501
Kurtosis-0.34295677
Mean126.96419
Median Absolute Deviation (MAD)0.0451831
Skewness0.56986242
Sum3047.1406
Variance0.0065669633
MonotonicityNot monotonic
2024-05-10T23:33:30.914987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.818279 1
 
4.2%
126.9309679 1
 
4.2%
127.0204708 1
 
4.2%
127.015932849772 1
 
4.2%
127.08673648927 1
 
4.2%
127.0939989 1
 
4.2%
126.9704918 1
 
4.2%
126.982601 1
 
4.2%
126.992249 1
 
4.2%
126.9349005 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
126.818279 1
4.2%
126.8736403 1
4.2%
126.8922348 1
4.2%
126.8940296 1
4.2%
126.9004288 1
4.2%
126.9022723 1
4.2%
126.903686 1
4.2%
126.911188 1
4.2%
126.9131567 1
4.2%
126.9236764 1
4.2%
ValueCountFrequency (%)
127.12316 1
4.2%
127.117775 1
4.2%
127.0939989 1
4.2%
127.08673648927 1
4.2%
127.0204708 1
4.2%
127.015932849772 1
4.2%
127.0032551 1
4.2%
126.9958898 1
4.2%
126.992249 1
4.2%
126.982601 1
4.2%

주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-10T23:33:31.708277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23.083333
Min length12

Characters and Unicode

Total characters554
Distinct characters89
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row서울강서구방화동61(방화동)
2nd row서울강동구암사동613-11
3rd row서울강동구풍납동49-2
4th row서울마포구상암동487-370
5th row서울마포구합정동352-5(망원동,망원 1-1 공영주차장)
ValueCountFrequency (%)
서울영등포구당산동95-1(당산동,양화진달래점 2
 
6.2%
잠실안내센터 2
 
6.2%
서울영등포구여의도동86-5(여의도동,진성나루 1
 
3.1%
서울영등포구여의도동84-4(여의도동,여의나루역 1
 
3.1%
서울강남구강남대로708(압구정동,한남대교레인보우카폐 1
 
3.1%
서울송파구한가람로65(잠실동,한강사업본부 1
 
3.1%
서울송파구잠실동1-1(잠실동,한강사업본부 1
 
3.1%
이촌안내센터 1
 
3.1%
서울용산구이촌동302-17(이촌동,한강공원 1
 
3.1%
6가452-1 1
 
3.1%
Other values (20) 20
62.5%
2024-05-10T23:33:33.236684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 43
 
7.8%
서 29
 
5.2%
구 27
 
4.9%
울 24
 
4.3%
- 19
 
3.4%
) 18
 
3.2%
( 18
 
3.2%
1 18
 
3.2%
포 15
 
2.7%
, 15
 
2.7%
Other values (79) 328
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
70.9%
Decimal Number 83
 
15.0%
Dash Punctuation 19
 
3.4%
Close Punctuation 18
 
3.2%
Open Punctuation 18
 
3.2%
Other Punctuation 15
 
2.7%
Space Separator 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
10.9%
서 29
 
7.4%
구 27
 
6.9%
울 24
 
6.1%
포 15
 
3.8%
원 13
 
3.3%
강 11
 
2.8%
의 11
 
2.8%
여 11
 
2.8%
영 10
 
2.5%
Other values (64) 199
50.6%
Decimal Number
ValueCountFrequency (%)
1 18
21.7%
5 11
13.3%
2 10
12.0%
6 9
10.8%
8 8
9.6%
3 7
 
8.4%
7 6
 
7.2%
4 6
 
7.2%
0 4
 
4.8%
9 4
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
70.9%
Common 161
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
10.9%
서 29
 
7.4%
구 27
 
6.9%
울 24
 
6.1%
포 15
 
3.8%
원 13
 
3.3%
강 11
 
2.8%
의 11
 
2.8%
여 11
 
2.8%
영 10
 
2.5%
Other values (64) 199
50.6%
Common
ValueCountFrequency (%)
- 19
11.8%
) 18
11.2%
( 18
11.2%
1 18
11.2%
, 15
9.3%
5 11
6.8%
2 10
 
6.2%
6 9
 
5.6%
8
 
5.0%
8 8
 
5.0%
Other values (5) 27
16.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
70.9%
ASCII 161
29.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 43
 
10.9%
서 29
 
7.4%
구 27
 
6.9%
울 24
 
6.1%
포 15
 
3.8%
원 13
 
3.3%
강 11
 
2.8%
의 11
 
2.8%
여 11
 
2.8%
영 10
 
2.5%
Other values (64) 199
50.6%
ASCII
ValueCountFrequency (%)
- 19
11.8%
) 18
11.2%
( 18
11.2%
1 18
11.2%
, 15
9.3%
5 11
6.8%
2 10
 
6.2%
6 9
 
5.6%
8
 
5.0%
8 8
 
5.0%
Other values (5) 27
16.8%

면수
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.75
Minimum20
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-10T23:33:33.700057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile37.7
Q1147
median211
Q3464.25
95-th percentile735
Maximum800
Range780
Interquartile range (IQR)317.25

Descriptive statistics

Standard deviation229.16963
Coefficient of variation (CV)0.75695995
Kurtosis-0.19205615
Mean302.75
Median Absolute Deviation (MAD)136.5
Skewness0.865526
Sum7266
Variance52518.717
MonotonicityNot monotonic
2024-05-10T23:33:34.211345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
735 2
 
8.3%
471 2
 
8.3%
53 1
 
4.2%
462 1
 
4.2%
205 1
 
4.2%
95 1
 
4.2%
35 1
 
4.2%
217 1
 
4.2%
141 1
 
4.2%
800 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
20 1
4.2%
35 1
4.2%
53 1
4.2%
88 1
4.2%
95 1
4.2%
141 1
4.2%
149 1
4.2%
168 1
4.2%
171 1
4.2%
191 1
4.2%
ValueCountFrequency (%)
800 1
4.2%
735 2
8.3%
544 1
4.2%
471 2
8.3%
462 1
4.2%
393 1
4.2%
361 1
4.2%
332 1
4.2%
235 1
4.2%
217 1
4.2%

장애면수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2024-05-10T23:33:34.722363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:35.010139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

정기면수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2024-05-10T23:33:35.314576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:35.603939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

주중 이용시간 시작
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
06:00
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
06:00 24
100.0%

Length

2024-05-10T23:33:35.914310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:36.207487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06:00 24
100.0%

주중 이용시간 종료
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
23:59
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 24
100.0%

Length

2024-05-10T23:33:36.539877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:36.871059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 24
100.0%

주말 이용시간 시작
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
06:00
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
06:00 24
100.0%

Length

2024-05-10T23:33:37.185912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:37.472145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06:00 24
100.0%

주말 이용시간 종료
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
23:59
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 24
100.0%

Length

2024-05-10T23:33:37.813318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:38.097778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 24
100.0%

면제시간
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
10
19 
0
5 

Length

Max length2
Median length2
Mean length1.7916667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row0
3rd row10
4th row0
5th row10

Common Values

ValueCountFrequency (%)
10 19
79.2%
0 5
 
20.8%

Length

2024-05-10T23:33:38.367246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:38.648755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 19
79.2%
0 5
 
20.8%

기본시간
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
30
19 
0
5 

Length

Max length2
Median length2
Mean length1.7916667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row0
3rd row30
4th row0
5th row30

Common Values

ValueCountFrequency (%)
30 19
79.2%
0 5
 
20.8%

Length

2024-05-10T23:33:39.001434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:39.368957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 19
79.2%
0 5
 
20.8%

기본요금
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1000
14 
0
5 
2000
5 

Length

Max length4
Median length4
Mean length3.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1000
2nd row0
3rd row1000
4th row0
5th row1000

Common Values

ValueCountFrequency (%)
1000 14
58.3%
0 5
 
20.8%
2000 5
 
20.8%

Length

2024-05-10T23:33:39.881488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:40.303694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1000 14
58.3%
0 5
 
20.8%
2000 5
 
20.8%

간격시간
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
10
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10 24
100.0%

Length

2024-05-10T23:33:40.835254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:41.153147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 24
100.0%

간격요금
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
200
19 
300
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row200
2nd row200
3rd row200
4th row200
5th row200

Common Values

ValueCountFrequency (%)
200 19
79.2%
300 5
 
20.8%

Length

2024-05-10T23:33:41.467899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:42.084206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 19
79.2%
300 5
 
20.8%

전일요금
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
10000
19 
15000
5 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10000
2nd row10000
3rd row10000
4th row10000
5th row10000

Common Values

ValueCountFrequency (%)
10000 19
79.2%
15000 5
 
20.8%

Length

2024-05-10T23:33:42.567784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:43.088561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000 19
79.2%
15000 5
 
20.8%

주간요금
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2024-05-10T23:33:43.709151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:44.074566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

야간요금
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2024-05-10T23:33:44.827080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:45.331123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

정기금금액
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
50000
19 
100000
5 

Length

Max length6
Median length5
Mean length5.2083333
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 19
79.2%
100000 5
 
20.8%

Length

2024-05-10T23:33:45.759414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:46.323228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 19
79.2%
100000 5
 
20.8%

주차장 운영업체
Categorical

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
아마노코리아(주)_잠원_반포_이촌
7 
공우이엔씨(주)_양화_강서
4 
공우이엔씨(주)_잠실_광나루
4 
(주)씨앤에스자산관리_망원_난지
4 
아마노코리아(주)_여의도
4 

Length

Max length18
Median length16
Mean length15.666667
Min length13

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row공우이엔씨(주)_양화_강서
2nd row공우이엔씨(주)_잠실_광나루
3rd row공우이엔씨(주)_잠실_광나루
4th row(주)씨앤에스자산관리_망원_난지
5th row(주)씨앤에스자산관리_망원_난지

Common Values

ValueCountFrequency (%)
아마노코리아(주)_잠원_반포_이촌 7
29.2%
공우이엔씨(주)_양화_강서 4
16.7%
공우이엔씨(주)_잠실_광나루 4
16.7%
(주)씨앤에스자산관리_망원_난지 4
16.7%
아마노코리아(주)_여의도 4
16.7%
공우이엔씨(주)_여의도_3 1
 
4.2%

Length

2024-05-10T23:33:46.824734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:47.274690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아마노코리아(주)_잠원_반포_이촌 7
29.2%
공우이엔씨(주)_양화_강서 4
16.7%
공우이엔씨(주)_잠실_광나루 4
16.7%
주)씨앤에스자산관리_망원_난지 4
16.7%
아마노코리아(주)_여의도 4
16.7%
공우이엔씨(주)_여의도_3 1
 
4.2%

업체 전화번호
Categorical

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
02-3478-1533
7 
02-2068-9617
4 
02-3431-3774
4 
070-7778-6678
4 
02-747-5645
4 

Length

Max length13
Median length12
Mean length11.958333
Min length11

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row02-2068-9617
2nd row02-3431-3774
3rd row02-3431-3774
4th row070-7778-6678
5th row070-7778-6678

Common Values

ValueCountFrequency (%)
02-3478-1533 7
29.2%
02-2068-9617 4
16.7%
02-3431-3774 4
16.7%
070-7778-6678 4
16.7%
02-747-5645 4
16.7%
02-782-8634 1
 
4.2%

Length

2024-05-10T23:33:47.868613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:48.339549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3478-1533 7
29.2%
02-2068-9617 4
16.7%
02-3431-3774 4
16.7%
070-7778-6678 4
16.7%
02-747-5645 4
16.7%
02-782-8634 1
 
4.2%

운영 시작기간
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-02-01 00:00:00.0
11 
2023-12-01 00:00:00.0
8 
2021-11-01 00:00:00.0
4 
2023-11-01 00:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row2023-12-01 00:00:00.0
2nd row2023-12-01 00:00:00.0
3rd row2023-12-01 00:00:00.0
4th row2023-02-01 00:00:00.0
5th row2023-02-01 00:00:00.0

Common Values

ValueCountFrequency (%)
2023-02-01 00:00:00.0 11
45.8%
2023-12-01 00:00:00.0 8
33.3%
2021-11-01 00:00:00.0 4
 
16.7%
2023-11-01 00:00:00.0 1
 
4.2%

Length

2024-05-10T23:33:48.869850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:49.279960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 24
50.0%
2023-02-01 11
22.9%
2023-12-01 8
 
16.7%
2021-11-01 4
 
8.3%
2023-11-01 1
 
2.1%

운영 종료기간
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2025-01-31 00:00:00.0
11 
2025-11-30 00:00:00.0
8 
2023-10-31 00:00:00.0
4 
2025-10-31 00:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row2025-11-30 00:00:00.0
2nd row2025-11-30 00:00:00.0
3rd row2025-11-30 00:00:00.0
4th row2025-01-31 00:00:00.0
5th row2025-01-31 00:00:00.0

Common Values

ValueCountFrequency (%)
2025-01-31 00:00:00.0 11
45.8%
2025-11-30 00:00:00.0 8
33.3%
2023-10-31 00:00:00.0 4
 
16.7%
2025-10-31 00:00:00.0 1
 
4.2%

Length

2024-05-10T23:33:49.798665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:33:50.113555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 24
50.0%
2025-01-31 11
22.9%
2025-11-30 8
 
16.7%
2023-10-31 4
 
8.3%
2025-10-31 1
 
2.1%

Sample

지구별주차장별위치정보(위도)위치정보(경도)주소면수장애면수정기면수주중 이용시간 시작주중 이용시간 종료주말 이용시간 시작주말 이용시간 종료면제시간기본시간기본요금간격시간간격요금전일요금주간요금야간요금정기금금액주차장 운영업체업체 전화번호운영 시작기간운영 종료기간
0강서강서1주차장37.585709126.818279서울강서구방화동61(방화동)530006:0023:5906:0023:591030100010200100000050000공우이엔씨(주)_양화_강서02-2068-96172023-12-01 00:00:00.02025-11-30 00:00:00.0
1광나루광나루1,2주차장37.553885127.12316서울강동구암사동613-111680006:0023:5906:0023:5900010200100000050000공우이엔씨(주)_잠실_광나루02-3431-37742023-12-01 00:00:00.02025-11-30 00:00:00.0
2광나루광나루3주차장37.543078127.117775서울강동구풍납동49-21910006:0023:5906:0023:591030100010200100000050000공우이엔씨(주)_잠실_광나루02-3431-37742023-12-01 00:00:00.02025-11-30 00:00:00.0
3난지난지1,2,3주차장37.569822126.87364서울마포구상암동487-3705440006:0023:5906:0023:5900010200100000050000(주)씨앤에스자산관리_망원_난지070-7778-66782023-02-01 00:00:00.02025-01-31 00:00:00.0
4망원망원1주차장37.544463126.911188서울마포구합정동352-5(망원동,망원 1-1 공영주차장)1490006:0023:5906:0023:591030100010200100000050000(주)씨앤에스자산관리_망원_난지070-7778-66782023-02-01 00:00:00.02025-01-31 00:00:00.0
5망원망원2,3주차장37.549993126.902272서울마포구망원동205-5(망원동,망원동2-1공영주차장)2350006:0023:5906:0023:591030100010200100000050000(주)씨앤에스자산관리_망원_난지070-7778-66782023-02-01 00:00:00.02025-01-31 00:00:00.0
6망원망원4주차장37.556418126.89403서울마포구동교로7(망원동)1940006:0023:5906:0023:591030100010200100000050000(주)씨앤에스자산관리_망원_난지070-7778-66782023-02-01 00:00:00.02025-01-31 00:00:00.0
7반포반포1주차장37.513591127.003255서울서초구잠원동122-1(잠원동,한강공원잠원안내센터)3320006:0023:5906:0023:591030100010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
8반포반포2,3주차장37.510071126.99589서울서초구반포동115-5(반포동,한강공원 반포 안내센터)3610006:0023:5906:0023:5900010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
9양화양화1주차장37.537367126.903686서울영등포구당산동95-1(당산동,양화진달래점)880006:0023:5906:0023:591030100010200100000050000공우이엔씨(주)_양화_강서02-2068-96172023-12-01 00:00:00.02025-11-30 00:00:00.0
지구별주차장별위치정보(위도)위치정보(경도)주소면수장애면수정기면수주중 이용시간 시작주중 이용시간 종료주말 이용시간 시작주말 이용시간 종료면제시간기본시간기본요금간격시간간격요금전일요금주간요금야간요금정기금금액주차장 운영업체업체 전화번호운영 시작기간운영 종료기간
14여의도여의도3주차장37.532383126.923676서울영등포구여의도동83-6(여의도동)8000006:0023:5906:0023:5910302000103001500000100000공우이엔씨(주)_여의도_302-782-86342023-11-01 00:00:00.02025-10-31 00:00:00.0
15여의도여의도4주차장37.526247126.913157서울영등포구여의도동191410006:0023:5906:0023:5910302000103001500000100000아마노코리아(주)_여의도02-747-56452021-11-01 00:00:00.02023-10-31 00:00:00.0
16여의도여의도5주차장37.516956126.9349서울영등포구여의도동63(여의도동,여의도성모병원)2170006:0023:5906:0023:5910302000103001500000100000아마노코리아(주)_여의도02-747-56452021-11-01 00:00:00.02023-10-31 00:00:00.0
17이촌이촌1주차장37.518051126.992249서울서초구서빙고동287-4350006:0023:5906:0023:591030100010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
18이촌이촌2주차장37.515737126.982601서울용산구용산동 6가452-1950006:0023:5906:0023:591030100010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
19이촌이촌3,4주차장37.517531126.970492서울용산구이촌동302-17(이촌동,한강공원 이촌안내센터)2050006:0023:5906:0023:591030100010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
20잠실잠실1주차장37.51994127.093999서울송파구잠실동1-1(잠실동,한강사업본부 잠실안내센터)4710006:0023:5906:0023:591030100010200100000050000공우이엔씨(주)_잠실_광나루02-3431-37742023-12-01 00:00:00.02025-11-30 00:00:00.0
21잠실잠실4주차장37.517628127.086736서울송파구한가람로65(잠실동,한강사업본부 잠실안내센터)4710006:0023:5906:0023:591030100010200100000050000공우이엔씨(주)_잠실_광나루02-3431-37742023-12-01 00:00:00.02025-11-30 00:00:00.0
22잠원잠원1주차장37.52444127.015933서울강남구강남대로708(압구정동,한남대교레인보우카폐)7350006:0023:5906:0023:5900010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0
23잠원잠원2-6주차장37.528742127.020471서울강남구압구정동386(압구정동,한남대교레인보우카폐)7350006:0023:5906:0023:5900010200100000050000아마노코리아(주)_잠원_반포_이촌02-3478-15332023-02-01 00:00:00.02025-01-31 00:00:00.0