Overview

Dataset statistics

Number of variables17
Number of observations658
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.4 KiB
Average record size in memory139.2 B

Variable types

Text1
Numeric2
Categorical14

Dataset

Description서울특별시 중구시설관리공단에서 운영 및 관리하는 거주자우선주차구획에 관한 정보 목록으로 다음과 같은 다양한 정보를 제공합니다.(개방시설명, 개방장소명, 개방시설유형구분, 휴관일, 평일 및 주말 운영시간, 유료사용여부, 사용료 등)
Author서울특별시중구시설관리공단
URLhttps://www.data.go.kr/data/15126614/fileData.do

Alerts

운영형태 has constant value ""Constant
사용시간대정보 has constant value ""Constant
사용기간 has constant value ""Constant
이용요금 has constant value ""Constant
이용요금결제방법 has constant value ""Constant
이용요금환불안내정보 has constant value ""Constant
정기접수시작일자 has constant value ""Constant
정기접수종료일자 has constant value ""Constant
신청방법 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지역(동명) is highly overall correlated with 거주자우선주차구획위도(도) and 2 other fieldsHigh correlation
거주차우선주차구역명 is highly overall correlated with 거주자우선주차구획위도(도) and 2 other fieldsHigh correlation
거주자우선주차구획위도(도) is highly overall correlated with 거주차우선주차구역명 and 1 other fieldsHigh correlation
거주자우선주차구획경도(도) is highly overall correlated with 거주차우선주차구역명 and 1 other fieldsHigh correlation
거주자우선주차구획번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:06:56.097634
Analysis finished2024-03-14 21:06:58.762348
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거주자우선주차구획번호
Text

UNIQUE 

Distinct658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T06:06:59.631667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters7896
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

Unique658 ?
Unique (%)100.0%

Sample

1st row11680-01-001
2nd row11680-01-002
3rd row11680-01-003
4th row11680-01-004
5th row11680-01-005
ValueCountFrequency (%)
11680-01-001 1
 
0.2%
11680-13-041 1
 
0.2%
11680-12-016 1
 
0.2%
11680-12-024 1
 
0.2%
11680-12-017 1
 
0.2%
11680-12-018 1
 
0.2%
11680-12-019 1
 
0.2%
11680-12-020 1
 
0.2%
11680-12-021 1
 
0.2%
11680-12-022 1
 
0.2%
Other values (648) 648
98.5%
2024-03-15T06:07:00.934754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1977
25.0%
0 1776
22.5%
- 1316
16.7%
6 781
 
9.9%
8 732
 
9.3%
3 579
 
7.3%
2 249
 
3.2%
5 176
 
2.2%
4 129
 
1.6%
7 100
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6580
83.3%
Dash Punctuation 1316
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1977
30.0%
0 1776
27.0%
6 781
 
11.9%
8 732
 
11.1%
3 579
 
8.8%
2 249
 
3.8%
5 176
 
2.7%
4 129
 
2.0%
7 100
 
1.5%
9 81
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1977
25.0%
0 1776
22.5%
- 1316
16.7%
6 781
 
9.9%
8 732
 
9.3%
3 579
 
7.3%
2 249
 
3.2%
5 176
 
2.2%
4 129
 
1.6%
7 100
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1977
25.0%
0 1776
22.5%
- 1316
16.7%
6 781
 
9.9%
8 732
 
9.3%
3 579
 
7.3%
2 249
 
3.2%
5 176
 
2.2%
4 129
 
1.6%
7 100
 
1.3%

거주자우선주차구획위도(도)
Real number (ℝ)

HIGH CORRELATION 

Distinct601
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.559691
Minimum37.55048
Maximum37.570591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-03-15T06:07:01.361566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.55048
5-th percentile37.55295
Q137.555943
median37.559214
Q337.563045
95-th percentile37.566431
Maximum37.570591
Range0.02011126
Interquartile range (IQR)0.00710106

Descriptive statistics

Standard deviation0.0042713949
Coefficient of variation (CV)0.00011372284
Kurtosis-0.52750492
Mean37.559691
Median Absolute Deviation (MAD)0.00343704
Skewness0.11863453
Sum24714.277
Variance1.8244815 × 10-5
MonotonicityNot monotonic
2024-03-15T06:07:01.838697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56413269 4
 
0.6%
37.56225204 4
 
0.6%
37.56242371 4
 
0.6%
37.56372452 3
 
0.5%
37.55566406 3
 
0.5%
37.55898666 3
 
0.5%
37.55572891 3
 
0.5%
37.56243515 3
 
0.5%
37.55477142 2
 
0.3%
37.56337357 2
 
0.3%
Other values (591) 627
95.3%
ValueCountFrequency (%)
37.55047971 1
0.2%
37.55052025 1
0.2%
37.55058107 1
0.2%
37.55063062 1
0.2%
37.55065765 1
0.2%
37.55073198 1
0.2%
37.55078604 1
0.2%
37.55086488 1
0.2%
37.55092345 1
0.2%
37.55097525 1
0.2%
ValueCountFrequency (%)
37.57059097 1
0.2%
37.57055664 1
0.2%
37.57052231 1
0.2%
37.57050323 1
0.2%
37.57049942 1
0.2%
37.57049179 1
0.2%
37.57044601 2
0.3%
37.57035446 1
0.2%
37.5703392 1
0.2%
37.57030106 1
0.2%

거주자우선주차구획경도(도)
Real number (ℝ)

HIGH CORRELATION 

Distinct608
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00086
Minimum126.96136
Maximum127.02333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-03-15T06:07:02.285553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.96136
5-th percentile126.96842
Q1126.9951
median127.00382
Q3127.01283
95-th percentile127.02062
Maximum127.02333
Range0.0619736
Interquartile range (IQR)0.017724975

Descriptive statistics

Standard deviation0.014526786
Coefficient of variation (CV)0.00011438336
Kurtosis0.41035601
Mean127.00086
Median Absolute Deviation (MAD)0.0090027
Skewness-0.81192139
Sum83566.567
Variance0.00021102751
MonotonicityNot monotonic
2024-03-15T06:07:02.746668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9642639 4
 
0.6%
126.9642563 3
 
0.5%
126.9959106 3
 
0.5%
126.9969101 3
 
0.5%
127.0079306 2
 
0.3%
127.0232162 2
 
0.3%
127.0231857 2
 
0.3%
127.0200958 2
 
0.3%
126.9905701 2
 
0.3%
126.9957962 2
 
0.3%
Other values (598) 633
96.2%
ValueCountFrequency (%)
126.9613571 1
0.2%
126.9613647 1
0.2%
126.961441 1
0.2%
126.9615173 1
0.2%
126.9616013 1
0.2%
126.9616892 1
0.2%
126.9617386 1
0.2%
126.9618607 1
0.2%
126.9618988 1
0.2%
126.9619293 1
0.2%
ValueCountFrequency (%)
127.0233307 1
0.2%
127.0232849 1
0.2%
127.023262 1
0.2%
127.0232162 2
0.3%
127.0231934 1
0.2%
127.0231857 2
0.3%
127.0231781 1
0.2%
127.0227051 1
0.2%
127.0225906 1
0.2%
127.0218582 1
0.2%

거주차우선주차구역명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
필동_거주자
132 
장충동_거주자
71 
다산동_거주자
69 
청구동_거주자
68 
중림동_거주자
40 
Other values (15)
278 

Length

Max length10
Median length7
Mean length7.0395137
Min length6

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
필동_거주자 132
20.1%
장충동_거주자 71
10.8%
다산동_거주자 69
10.5%
청구동_거주자 68
10.3%
중림동_거주자 40
 
6.1%
신당5동_거주자 39
 
5.9%
신당동_거주자 39
 
5.9%
회현동_거주자 35
 
5.3%
광희동_거주자 33
 
5.0%
동화동_거주자 27
 
4.1%
Other values (10) 105
16.0%

Length

2024-03-15T06:07:03.289644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
필동_거주자 132
20.1%
장충동_거주자 71
10.8%
다산동_거주자 69
10.5%
청구동_거주자 68
10.3%
중림동_거주자 40
 
6.1%
신당5동_거주자 39
 
5.9%
신당동_거주자 39
 
5.9%
회현동_거주자 35
 
5.3%
광희동_거주자 33
 
5.0%
동화동_거주자 27
 
4.1%
Other values (10) 105
16.0%

소재지역(동명)
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
필동
132 
장충동
71 
다산동
69 
청구동
68 
중림동
40 
Other values (14)
278 

Length

Max length9
Median length3
Mean length3.2492401
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
필동 132
20.1%
장충동 71
10.8%
다산동 69
10.5%
청구동 68
10.3%
중림동 40
 
6.1%
신당동 39
 
5.9%
신당5동 39
 
5.9%
회현동 35
 
5.3%
광희동 33
 
5.0%
동화동 27
 
4.1%
Other values (9) 105
16.0%

Length

2024-03-15T06:07:03.603520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
필동 132
20.1%
장충동 71
10.8%
다산동 69
10.5%
청구동 68
10.3%
중림동 40
 
6.1%
신당동 39
 
5.9%
신당5동 39
 
5.9%
회현동 35
 
5.3%
광희동 33
 
5.0%
동화동 27
 
4.1%
Other values (9) 105
16.0%

운영형태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
전일
658 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전일 658
100.0%

Length

2024-03-15T06:07:03.839544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:04.013050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전일 658
100.0%

사용시간대정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
24시간
658 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24시간
2nd row24시간
3rd row24시간
4th row24시간
5th row24시간

Common Values

ValueCountFrequency (%)
24시간 658
100.0%

Length

2024-03-15T06:07:04.188225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:04.364071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시간 658
100.0%

사용기간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
6개월
658 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6개월
2nd row6개월
3rd row6개월
4th row6개월
5th row6개월

Common Values

ValueCountFrequency (%)
6개월 658
100.0%

Length

2024-03-15T06:07:04.614382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:04.795332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6개월 658
100.0%

이용요금
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
40000
658 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40000
2nd row40000
3rd row40000
4th row40000
5th row40000

Common Values

ValueCountFrequency (%)
40000 658
100.0%

Length

2024-03-15T06:07:04.975636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:05.153006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40000 658
100.0%

이용요금결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
카드결제-가상계좌입금-실시간계좌이체
658 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카드결제-가상계좌입금-실시간계좌이체
2nd row카드결제-가상계좌입금-실시간계좌이체
3rd row카드결제-가상계좌입금-실시간계좌이체
4th row카드결제-가상계좌입금-실시간계좌이체
5th row카드결제-가상계좌입금-실시간계좌이체

Common Values

ValueCountFrequency (%)
카드결제-가상계좌입금-실시간계좌이체 658
100.0%

Length

2024-03-15T06:07:05.323130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:05.493102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드결제-가상계좌입금-실시간계좌이체 658
100.0%

이용요금환불안내정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능
658 

Length

Max length34
Median length34
Mean length34
Min length34

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능
2nd row관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능
3rd row관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능
4th row관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능
5th row관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능

Common Values

ValueCountFrequency (%)
관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능 658
100.0%

Length

2024-03-15T06:07:05.772344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:05.947517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관리센터에 658
11.1%
신청 658
11.1%
시 658
11.1%
해당일자를 658
11.1%
기준으로 658
11.1%
일할계산 658
11.1%
후 658
11.1%
환불 658
11.1%
가능 658
11.1%

정기접수시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-02-01
658 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-01
2nd row2024-02-01
3rd row2024-02-01
4th row2024-02-01
5th row2024-02-01

Common Values

ValueCountFrequency (%)
2024-02-01 658
100.0%

Length

2024-03-15T06:07:06.128497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:06.313136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-01 658
100.0%

정기접수종료일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-02-20
658 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 658
100.0%

Length

2024-03-15T06:07:06.485927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:06.652770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 658
100.0%

신청방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
온라인
658 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온라인 658
100.0%

Length

2024-03-15T06:07:06.899255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:07.096030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 658
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
02-2280-8305
658 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2280-8305
2nd row02-2280-8305
3rd row02-2280-8305
4th row02-2280-8305
5th row02-2280-8305

Common Values

ValueCountFrequency (%)
02-2280-8305 658
100.0%

Length

2024-03-15T06:07:07.275216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:07.450802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2280-8305 658
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
서울특별시중구시설관리공단
658 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시중구시설관리공단 658
100.0%

Length

2024-03-15T06:07:07.624232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:08.063437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시중구시설관리공단 658
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-02-05
658 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-05
2nd row2024-02-05
3rd row2024-02-05
4th row2024-02-05
5th row2024-02-05

Common Values

ValueCountFrequency (%)
2024-02-05 658
100.0%

Length

2024-03-15T06:07:08.459801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:07:08.758922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-05 658
100.0%

Interactions

2024-03-15T06:06:57.124712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:06:56.543200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:06:57.453239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:06:56.839076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:07:08.938550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주자우선주차구획위도(도)거주자우선주차구획경도(도)거주차우선주차구역명소재지역(동명)
거주자우선주차구획위도(도)1.0000.8150.9630.928
거주자우선주차구획경도(도)0.8151.0000.9790.947
거주차우선주차구역명0.9630.9791.0001.000
소재지역(동명)0.9280.9471.0001.000
2024-03-15T06:07:09.194064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지역(동명)거주차우선주차구역명
소재지역(동명)1.0000.999
거주차우선주차구역명0.9991.000
2024-03-15T06:07:09.352761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주자우선주차구획위도(도)거주자우선주차구획경도(도)거주차우선주차구역명소재지역(동명)
거주자우선주차구획위도(도)1.0000.1110.6890.691
거주자우선주차구획경도(도)0.1111.0000.7560.748
거주차우선주차구역명0.6890.7561.0000.999
소재지역(동명)0.6910.7480.9991.000

Missing values

2024-03-15T06:06:57.782285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:06:58.457840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

거주자우선주차구획번호거주자우선주차구획위도(도)거주자우선주차구획경도(도)거주차우선주차구역명소재지역(동명)운영형태사용시간대정보사용기간이용요금이용요금결제방법이용요금환불안내정보정기접수시작일자정기접수종료일자신청방법관리기관전화번호관리기관명데이터기준일자
011680-01-00137.563725127.005882광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
111680-01-00237.563694127.005859광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
211680-01-00337.563656127.005852광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
311680-01-00437.56361127.005844광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
411680-01-00537.563568127.005821광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
511680-01-00637.563507127.005806광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
611680-01-00737.56345127.005798광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
711680-01-00837.562435127.003662광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
811680-01-00937.562447127.003578광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
911680-01-01037.562435127.003502광희동_거주자광희동전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
거주자우선주차구획번호거주자우선주차구획위도(도)거주자우선주차구획경도(도)거주차우선주차구역명소재지역(동명)운영형태사용시간대정보사용기간이용요금이용요금결제방법이용요금환불안내정보정기접수시작일자정기접수종료일자신청방법관리기관전화번호관리기관명데이터기준일자
64811680-31-01837.564594126.995529삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
64911680-31-01937.5647126.995515삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65011680-31-02037.564815126.995495삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65111680-31-02137.565128126.995458삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65211680-31-02237.565598126.995405삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65311680-31-02337.565671126.995399삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65411680-31-02437.565794126.995376삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65511680-31-02537.565718126.99539삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65611680-31-02637.566279126.995325삼풍상가(IOT)삼풍상가(IOT)전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05
65711680-71-00137.560402127.006505신세계남산_부설신세계남산전일24시간6개월40000카드결제-가상계좌입금-실시간계좌이체관리센터에 신청 시 해당일자를 기준으로 일할계산 후 환불 가능2024-02-012024-02-20온라인02-2280-8305서울특별시중구시설관리공단2024-02-05