Overview

Dataset statistics

Number of variables20
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory164.8 B

Variable types

Text4
Numeric2
Categorical14

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15006/S/1/datasetView.do

Alerts

운영형태 has constant value ""Constant
사용시간대정보 has constant value ""Constant
사용기간 has constant value ""Constant
이용요금 has constant value ""Constant
이용요금할인정보 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
신청서류 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
거주자우선주차구획위도 is highly overall correlated with 거주자우선주차구획경도High correlation
거주자우선주차구획경도 is highly overall correlated with 거주자우선주차구획위도High correlation
거주자우선주차구획번호 has unique valuesUnique
거주자우선주차구획위도 has unique valuesUnique
거주자우선주차구획경도 has unique valuesUnique
거주자우선주차구역명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 05:30:44.798503
Analysis finished2023-12-11 05:30:45.985324
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거주자우선주차구획번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T14:30:46.143545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length14.083333
Min length12

Characters and Unicode

Total characters676
Distinct characters12
Distinct categories3 ?
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 (%)100.0%

Sample

1st row11680-101-106외
2nd row11680-102-101외
3rd row11680-131-116외
4th row11680-132-101외
5th row11680-141-101-1외
ValueCountFrequency (%)
11680-101-106외 1
 
2.1%
11680-102-101외 1
 
2.1%
11680-183-201외 1
 
2.1%
11680-222-103외 1
 
2.1%
11680-171-104-1외 1
 
2.1%
11680-172-101-3외 1
 
2.1%
11680-173-104외 1
 
2.1%
11680-174-120외 1
 
2.1%
11680-175-118외 1
 
2.1%
11680-176-101외 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T14:30:46.531394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 231
34.2%
- 100
14.8%
0 94
13.9%
6 56
 
8.3%
8 54
 
8.0%
외 48
 
7.1%
2 40
 
5.9%
3 20
 
3.0%
4 14
 
2.1%
5 9
 
1.3%
Other values (2) 10
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
78.1%
Dash Punctuation 100
 
14.8%
Other Letter 48
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 231
43.8%
0 94
17.8%
6 56
 
10.6%
8 54
 
10.2%
2 40
 
7.6%
3 20
 
3.8%
4 14
 
2.7%
5 9
 
1.7%
7 7
 
1.3%
9 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Letter
ValueCountFrequency (%)
외 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 628
92.9%
Hangul 48
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 231
36.8%
- 100
15.9%
0 94
15.0%
6 56
 
8.9%
8 54
 
8.6%
2 40
 
6.4%
3 20
 
3.2%
4 14
 
2.2%
5 9
 
1.4%
7 7
 
1.1%
Hangul
ValueCountFrequency (%)
외 48
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 628
92.9%
Hangul 48
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 231
36.8%
- 100
15.9%
0 94
15.0%
6 56
 
8.9%
8 54
 
8.6%
2 40
 
6.4%
3 20
 
3.2%
4 14
 
2.2%
5 9
 
1.4%
7 7
 
1.1%
Hangul
ValueCountFrequency (%)
외 48
100.0%

거주자우선주차구획위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.506027
Minimum37.483779
Maximum37.528172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T14:30:46.676620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.483779
5-th percentile37.484315
Q137.493512
median37.505543
Q337.517309
95-th percentile37.526556
Maximum37.528172
Range0.0443933
Interquartile range (IQR)0.02379712

Descriptive statistics

Standard deviation0.013565093
Coefficient of variation (CV)0.00036167769
Kurtosis-1.2516381
Mean37.506027
Median Absolute Deviation (MAD)0.01214684
Skewness-0.002422083
Sum1800.2893
Variance0.00018401175
MonotonicityNot monotonic
2023-12-11T14:30:46.811740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
37.5168394 1
 
2.1%
37.501108 1
 
2.1%
37.507084 1
 
2.1%
37.494451 1
 
2.1%
37.508647 1
 
2.1%
37.5045043 1
 
2.1%
37.499918 1
 
2.1%
37.492934 1
 
2.1%
37.4957647169 1
 
2.1%
37.499969 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
37.483779 1
2.1%
37.4837962 1
2.1%
37.483824 1
2.1%
37.485227 1
2.1%
37.486974 1
2.1%
37.4912787899 1
2.1%
37.491649 1
2.1%
37.4921137 1
2.1%
37.492127 1
2.1%
37.492207 1
2.1%
ValueCountFrequency (%)
37.5281723 1
2.1%
37.527382 1
2.1%
37.527027 1
2.1%
37.525681 1
2.1%
37.524164 1
2.1%
37.5239354 1
2.1%
37.5228328 1
2.1%
37.522302 1
2.1%
37.520652 1
2.1%
37.519928 1
2.1%

거주자우선주차구획경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04729
Minimum127.01852
Maximum127.10699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T14:30:46.961089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01852
5-th percentile127.02074
Q1127.03449
median127.04179
Q3127.05801
95-th percentile127.07992
Maximum127.10699
Range0.088468
Interquartile range (IQR)0.023524875

Descriptive statistics

Standard deviation0.019241939
Coefficient of variation (CV)0.00015145493
Kurtosis0.89511777
Mean127.04729
Median Absolute Deviation (MAD)0.0110734
Skewness0.93785128
Sum6098.27
Variance0.00037025221
MonotonicityNot monotonic
2023-12-11T14:30:47.110808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
127.019798 1
 
2.1%
127.050841 1
 
2.1%
127.034277 1
 
2.1%
127.035338 1
 
2.1%
127.039396 1
 
2.1%
127.025571 1
 
2.1%
127.036563 1
 
2.1%
127.030444 1
 
2.1%
127.039638 1
 
2.1%
127.038028 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
127.018523 1
2.1%
127.019798 1
2.1%
127.020139 1
2.1%
127.021847 1
2.1%
127.025571 1
2.1%
127.027099 1
2.1%
127.028381 1
2.1%
127.030444 1
2.1%
127.030988 1
2.1%
127.031346 1
2.1%
ValueCountFrequency (%)
127.106991 1
2.1%
127.0897086 1
2.1%
127.080887 1
2.1%
127.078111 1
2.1%
127.0781007 1
2.1%
127.0762437 1
2.1%
127.067429 1
2.1%
127.062459 1
2.1%
127.061679 1
2.1%
127.061507 1
2.1%

거주자우선주차구역명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T14:30:47.397835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7916667
Min length2

Characters and Unicode

Total characters278
Distinct characters91
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row신사지구
2nd row현대백화점지구
3rd row학동공원지구
4th row영동시장지구
5th row영동우체국지구
ValueCountFrequency (%)
신사지구 1
 
2.1%
현대백화점지구 1
 
2.1%
진달래a지구 1
 
2.1%
도곡초등교지구 1
 
2.1%
충현교회지구 1
 
2.1%
역삼시장지구 1
 
2.1%
상록회관지구 1
 
2.1%
국기원지구 1
 
2.1%
특허청지구 1
 
2.1%
역삼초등교지구 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T14:30:47.799301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 44
 
15.8%
지 43
 
15.5%
교 10
 
3.6%
원 9
 
3.2%
청 7
 
2.5%
동 6
 
2.2%
대 5
 
1.8%
초 5
 
1.8%
고 5
 
1.8%
등 4
 
1.4%
Other values (81) 140
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
98.6%
Decimal Number 3
 
1.1%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
 
16.1%
지 43
 
15.7%
교 10
 
3.6%
원 9
 
3.3%
청 7
 
2.6%
동 6
 
2.2%
대 5
 
1.8%
초 5
 
1.8%
고 5
 
1.8%
등 4
 
1.5%
Other values (78) 136
49.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
7 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
98.6%
Common 3
 
1.1%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
 
16.1%
지 43
 
15.7%
교 10
 
3.6%
원 9
 
3.3%
청 7
 
2.6%
동 6
 
2.2%
대 5
 
1.8%
초 5
 
1.8%
고 5
 
1.8%
등 4
 
1.5%
Other values (78) 136
49.6%
Common
ValueCountFrequency (%)
1 2
66.7%
7 1
33.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
98.6%
ASCII 4
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 44
 
16.1%
지 43
 
15.7%
교 10
 
3.6%
원 9
 
3.3%
청 7
 
2.6%
동 6
 
2.2%
대 5
 
1.8%
초 5
 
1.8%
고 5
 
1.8%
등 4
 
1.5%
Other values (78) 136
49.6%
ASCII
ValueCountFrequency (%)
1 2
50.0%
7 1
25.0%
A 1
25.0%

소재지도로명주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T14:30:48.058988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.875
Min length16

Characters and Unicode

Total characters858
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 강남구 강남대로 616
2nd row서울특별시 강남구 압구정로 113
3rd row서울특별시 강남구 강남대로 606
4th row서울특별시 강남구 강남대로 548
5th row서울특별시 강남구 학동로 204
ValueCountFrequency (%)
서울특별시 48
25.4%
강남구 48
25.4%
선릉로 5
 
2.6%
테헤란로 4
 
2.1%
강남대로 4
 
2.1%
언주로 3
 
1.6%
봉은사로 3
 
1.6%
영동대로 3
 
1.6%
22 2
 
1.1%
남부순환로 2
 
1.1%
Other values (58) 67
35.4%
2023-12-11T14:30:48.634637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
16.4%
남 55
 
6.4%
강 52
 
6.1%
구 50
 
5.8%
서 48
 
5.6%
로 48
 
5.6%
특 48
 
5.6%
별 48
 
5.6%
시 48
 
5.6%
울 48
 
5.6%
Other values (47) 272
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
66.0%
Decimal Number 151
 
17.6%
Space Separator 141
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 55
9.7%
강 52
9.2%
구 50
8.8%
서 48
8.5%
로 48
8.5%
특 48
8.5%
별 48
8.5%
시 48
8.5%
울 48
8.5%
길 11
 
1.9%
Other values (36) 110
19.4%
Decimal Number
ValueCountFrequency (%)
2 24
15.9%
0 21
13.9%
1 20
13.2%
4 18
11.9%
3 16
10.6%
5 15
9.9%
6 14
9.3%
7 9
 
6.0%
8 8
 
5.3%
9 6
 
4.0%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
66.0%
Common 292
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 55
9.7%
강 52
9.2%
구 50
8.8%
서 48
8.5%
로 48
8.5%
특 48
8.5%
별 48
8.5%
시 48
8.5%
울 48
8.5%
길 11
 
1.9%
Other values (36) 110
19.4%
Common
ValueCountFrequency (%)
141
48.3%
2 24
 
8.2%
0 21
 
7.2%
1 20
 
6.8%
4 18
 
6.2%
3 16
 
5.5%
5 15
 
5.1%
6 14
 
4.8%
7 9
 
3.1%
8 8
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
66.0%
ASCII 292
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
48.3%
2 24
 
8.2%
0 21
 
7.2%
1 20
 
6.8%
4 18
 
6.2%
3 16
 
5.5%
5 15
 
5.1%
6 14
 
4.8%
7 9
 
3.1%
8 8
 
2.7%
Hangul
ValueCountFrequency (%)
남 55
9.7%
강 52
9.2%
구 50
8.8%
서 48
8.5%
로 48
8.5%
특 48
8.5%
별 48
8.5%
시 48
8.5%
울 48
8.5%
길 11
 
1.9%
Other values (36) 110
19.4%

소재지지번주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T14:30:48.961782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length24.208333
Min length19

Characters and Unicode

Total characters1162
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 강남구 신사동501~586번지주변
2nd row서울특별시 강남구 압구정동397~434번지주변
3rd row서울특별시 강남구 논현동1~58번지주변
4th row서울특별시 강남구 논현동120~206번지주변
5th row서울특별시 강남구 논현동207~237번지주변
ValueCountFrequency (%)
서울특별시 48
31.6%
강남구 48
31.6%
일원본동 2
 
1.3%
728-1번지 2
 
1.3%
주변 2
 
1.3%
대치동995~1009번지주변 1
 
0.7%
역삼동650~679번지주변 1
 
0.7%
역삼동789~840번지주변 1
 
0.7%
역삼동680~705번지주변 1
 
0.7%
역삼동601~822번지주변 1
 
0.7%
Other values (45) 45
29.6%
2023-12-11T14:30:49.515277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
9.0%
구 50
 
4.3%
서 49
 
4.2%
번 48
 
4.1%
특 48
 
4.1%
별 48
 
4.1%
시 48
 
4.1%
강 48
 
4.1%
남 48
 
4.1%
울 48
 
4.1%
Other values (39) 623
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
62.1%
Decimal Number 281
 
24.2%
Space Separator 104
 
9.0%
Math Symbol 46
 
4.0%
Dash Punctuation 6
 
0.5%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
6.9%
서 49
 
6.8%
번 48
 
6.6%
특 48
 
6.6%
별 48
 
6.6%
시 48
 
6.6%
강 48
 
6.6%
남 48
 
6.6%
울 48
 
6.6%
동 48
 
6.6%
Other values (24) 239
33.1%
Decimal Number
ValueCountFrequency (%)
1 43
15.3%
7 36
12.8%
6 32
11.4%
8 28
10.0%
5 28
10.0%
4 26
9.3%
2 25
8.9%
9 24
8.5%
0 24
8.5%
3 15
 
5.3%
Math Symbol
ValueCountFrequency (%)
~ 45
97.8%
∼ 1
 
2.2%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
62.1%
Common 440
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
6.9%
서 49
 
6.8%
번 48
 
6.6%
특 48
 
6.6%
별 48
 
6.6%
시 48
 
6.6%
강 48
 
6.6%
남 48
 
6.6%
울 48
 
6.6%
동 48
 
6.6%
Other values (24) 239
33.1%
Common
ValueCountFrequency (%)
104
23.6%
~ 45
10.2%
1 43
9.8%
7 36
 
8.2%
6 32
 
7.3%
8 28
 
6.4%
5 28
 
6.4%
4 26
 
5.9%
2 25
 
5.7%
9 24
 
5.5%
Other values (5) 49
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
62.1%
ASCII 439
37.8%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
23.7%
~ 45
10.3%
1 43
9.8%
7 36
 
8.2%
6 32
 
7.3%
8 28
 
6.4%
5 28
 
6.4%
4 26
 
5.9%
2 25
 
5.7%
9 24
 
5.5%
Other values (4) 48
10.9%
Hangul
ValueCountFrequency (%)
구 50
 
6.9%
서 49
 
6.8%
번 48
 
6.6%
특 48
 
6.6%
별 48
 
6.6%
시 48
 
6.6%
강 48
 
6.6%
남 48
 
6.6%
울 48
 
6.6%
동 48
 
6.6%
Other values (24) 239
33.1%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

운영형태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
전일
48 

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 48
100.0%

Length

2023-12-11T14:30:49.680364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:49.803025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전일 48
100.0%

사용시간대정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
24시간
48 

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 48
100.0%

Length

2023-12-11T14:30:49.938143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:50.365873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시간 48
100.0%

사용기간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
영구
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영구 48
100.0%

Length

2023-12-11T14:30:50.505640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:50.635036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영구 48
100.0%

이용요금
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
50000~100000
48 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000~100000
2nd row50000~100000
3rd row50000~100000
4th row50000~100000
5th row50000~100000

Common Values

ValueCountFrequency (%)
50000~100000 48
100.0%

Length

2023-12-11T14:30:50.778914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:50.919082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000~100000 48
100.0%

이용요금할인정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
최대80프로
48 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최대80프로
2nd row최대80프로
3rd row최대80프로
4th row최대80프로
5th row최대80프로

Common Values

ValueCountFrequency (%)
최대80프로 48
100.0%

Length

2023-12-11T14:30:51.032924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:51.145995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최대80프로 48
100.0%

이용요금결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
신용카드,고지서,계좌이체등
48 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신용카드,고지서,계좌이체등
2nd row신용카드,고지서,계좌이체등
3rd row신용카드,고지서,계좌이체등
4th row신용카드,고지서,계좌이체등
5th row신용카드,고지서,계좌이체등

Common Values

ValueCountFrequency (%)
신용카드,고지서,계좌이체등 48
100.0%

Length

2023-12-11T14:30:51.273728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:51.379895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신용카드,고지서,계좌이체등 48
100.0%

이용요금환불안내정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
홈페이지, 고지서
48 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row홈페이지, 고지서
2nd row홈페이지, 고지서
3rd row홈페이지, 고지서
4th row홈페이지, 고지서
5th row홈페이지, 고지서

Common Values

ValueCountFrequency (%)
홈페이지, 고지서 48
100.0%

Length

2023-12-11T14:30:51.505826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:51.639343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홈페이지 48
50.0%
고지서 48
50.0%

정기접수시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2000-01-01
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2000-01-01
2nd row2000-01-01
3rd row2000-01-01
4th row2000-01-01
5th row2000-01-01

Common Values

ValueCountFrequency (%)
2000-01-01 48
100.0%

Length

2023-12-11T14:30:51.780912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:51.895284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2000-01-01 48
100.0%

정기접수종료일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2000-01-01
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2000-01-01
2nd row2000-01-01
3rd row2000-01-01
4th row2000-01-01
5th row2000-01-01

Common Values

ValueCountFrequency (%)
2000-01-01 48
100.0%

Length

2023-12-11T14:30:52.033474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:52.158782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2000-01-01 48
100.0%

신청방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
인터넷, 서면 등
48 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷, 서면 등
2nd row인터넷, 서면 등
3rd row인터넷, 서면 등
4th row인터넷, 서면 등
5th row인터넷, 서면 등

Common Values

ValueCountFrequency (%)
인터넷, 서면 등 48
100.0%

Length

2023-12-11T14:30:52.282454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:52.395569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷 48
33.3%
서면 48
33.3%
등 48
33.3%

신청서류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
신청서, 차량등록증 등
48 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신청서, 차량등록증 등
2nd row신청서, 차량등록증 등
3rd row신청서, 차량등록증 등
4th row신청서, 차량등록증 등
5th row신청서, 차량등록증 등

Common Values

ValueCountFrequency (%)
신청서, 차량등록증 등 48
100.0%

Length

2023-12-11T14:30:52.521211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:52.645855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신청서 48
33.3%
차량등록증 48
33.3%
등 48
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
02-2176-0491
48 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2176-0491
2nd row02-2176-0491
3rd row02-2176-0491
4th row02-2176-0491
5th row02-2176-0491

Common Values

ValueCountFrequency (%)
02-2176-0491 48
100.0%

Length

2023-12-11T14:30:52.765904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:52.887205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2176-0491 48
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강남구도시관리공단
48 

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 48
100.0%

Length

2023-12-11T14:30:53.005901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:53.104928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 48
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2019-12-30
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-30
2nd row2019-12-30
3rd row2019-12-30
4th row2019-12-30
5th row2019-12-30

Common Values

ValueCountFrequency (%)
2019-12-30 48
100.0%

Length

2023-12-11T14:30:53.213904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:30:53.330049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-30 48
100.0%

Interactions

2023-12-11T14:30:45.367969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:30:45.190310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:30:45.448787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:30:45.278068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T14:30:53.434367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주자우선주차구획번호거주자우선주차구획위도거주자우선주차구획경도거주자우선주차구역명소재지도로명주소소재지지번주소
거주자우선주차구획번호1.0001.0001.0001.0001.0001.000
거주자우선주차구획위도1.0001.0000.3571.0001.0001.000
거주자우선주차구획경도1.0000.3571.0001.0001.0001.000
거주자우선주차구역명1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
2023-12-11T14:30:53.556865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거주자우선주차구획위도거주자우선주차구획경도
거주자우선주차구획위도1.000-0.533
거주자우선주차구획경도-0.5331.000

Missing values

2023-12-11T14:30:45.597359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T14:30:45.883917image/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

거주자우선주차구획번호거주자우선주차구획위도거주자우선주차구획경도거주자우선주차구역명소재지도로명주소소재지지번주소운영형태사용시간대정보사용기간이용요금이용요금할인정보이용요금결제방법이용요금환불안내정보정기접수시작일자정기접수종료일자신청방법신청서류관리기관전화번호관리기관명데이터기준일자
011680-101-106외37.516839127.019798신사지구서울특별시 강남구 강남대로 616서울특별시 강남구 신사동501~586번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
111680-102-101외37.524164127.018523현대백화점지구서울특별시 강남구 압구정로 113서울특별시 강남구 압구정동397~434번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
211680-131-116외37.515802127.020139학동공원지구서울특별시 강남구 강남대로 606서울특별시 강남구 논현동1~58번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
311680-132-101외37.511036127.021847영동시장지구서울특별시 강남구 강남대로 548서울특별시 강남구 논현동120~206번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
411680-141-101-1외37.513631127.031346영동우체국지구서울특별시 강남구 학동로 204서울특별시 강남구 논현동207~237번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
511680-142-101외37.520652127.03456동현아파트지구서울특별시 강남구 언주로 734서울특별시 강남구 논현동97~115번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
611680-143-101외37.519548127.030988관세청지구서울특별시 강남구 도산대로34길 11서울특별시 강남구 논현동64~83번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
711680-144-105외37.515053127.035729주택공사지구서울특별시 강남구 언주로 652서울특별시 강남구 논현동238~278번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
811680-111-106외37.525681127.027099신사전화국지구서울특별시 강남구 논현로175길 19서울특별시 강남구 신사동578~629번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
911680-112-102외37.522302127.033801도산공원지구서울특별시 강남구 언주로 806서울특별시 강남구 신사동630~666번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
거주자우선주차구획번호거주자우선주차구획위도거주자우선주차구획경도거주자우선주차구역명소재지도로명주소소재지지번주소운영형태사용시간대정보사용기간이용요금이용요금할인정보이용요금결제방법이용요금환불안내정보정기접수시작일자정기접수종료일자신청방법신청서류관리기관전화번호관리기관명데이터기준일자
3811680-241-101외37.485227127.041804도곡지구서울특별시 강남구 남부순환로 2704서울특별시 강남구 도곡동411~465, 514~518번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
3911680-271-101외37.483824127.061679포이지구서울특별시 강남구 선릉로10길 22서울특별시 강남구 개포동163~262, 654~658번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4011680-311-143외37.486974127.106991수서지구서울특별시 강남구 광평로60길 22서울특별시 강남구 수서동721~723-1번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4111680-291-111외37.492207127.080887일원지구서울특별시 강남구 일원로 21서울특별시 강남구 일원동617~641-13번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4211680-292-1외37.493629127.089709일원711서울특별시 강남구 양재대로55길 12서울특별시 강남구 일원동 711-2번지전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4311680-281-101외37.483779127.078111일원대모산서울특별시 강남구 광평로3길 17서울특별시 강남구 일원본동 728-1번지 주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4411680-321-101외37.483796127.078101세곡지구서울특별시 강남구 광평로3길 17서울특별시 강남구 일원본동 728-1번지 주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4511680-111-601외37.528172127.028381갤러리아백화점서울특별시 강남구 압구정로29길서울특별시 강남구 압구정동486~493번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4611680-203-1외37.494601127.061507청실서울특별시 강남구 남부순환로397길서울특별시 강남구 대치동616번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30
4711680-301-101외37.493163127.076244수서경찰서서울특별시 강남구 개포로109길서울특별시 강남구 개포동14번지주변전일24시간영구50000~100000최대80프로신용카드,고지서,계좌이체등홈페이지, 고지서2000-01-012000-01-01인터넷, 서면 등신청서, 차량등록증 등02-2176-0491강남구도시관리공단2019-12-30