Overview

Dataset statistics

Number of variables15
Number of observations102
Missing cells306
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory127.3 B

Variable types

Text2
Unsupported3
Numeric3
Categorical4
Boolean3

Dataset

Description파일 다운로드
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-13489/F/1/datasetView.do

Alerts

수리대설치여부 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
보관대수 is highly overall correlated with 공기주입기비치여부High correlation
설치형태 is highly overall correlated with 차양막설치여부High correlation
차양막설치여부 is highly overall correlated with 설치형태High correlation
공기주입기비치여부 is highly overall correlated with 보관대수High correlation
공기주입기비치여부 is highly imbalanced (71.8%)Imbalance
소재지지번주소 has 102 (100.0%) missing valuesMissing
설치년도 has 102 (100.0%) missing valuesMissing
공기주입기유형 has 102 (100.0%) missing valuesMissing
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공기주입기유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보관대수 has 3 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-11 04:13:24.723553
Analysis finished2023-12-11 04:13:26.501391
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자전거보관소명
Text

Distinct92
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-11T13:13:26.727535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length13.843137
Min length9

Characters and Unicode

Total characters1412
Distinct characters124
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)81.4%

Sample

1st row쌍문역(1번출구) 자전거보관소 - 2
2nd row도봉 홈플러스 앞
3rd row방학동 홈플러스 자전거보관소 - 2
4th row창동교 자전거보관소
5th row상계교 자전거보관소
ValueCountFrequency (%)
자전거보관소 100
41.7%
2번출구 4
 
1.7%
앞 4
 
1.7%
4
 
1.7%
녹천역 4
 
1.7%
도봉산역 3
 
1.2%
홈플러스 3
 
1.2%
도봉도서관 3
 
1.2%
창도초등학교 3
 
1.2%
뒤 2
 
0.8%
Other values (93) 110
45.8%
2023-12-11T13:13:27.172295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
9.8%
소 108
 
7.6%
관 105
 
7.4%
자 105
 
7.4%
보 102
 
7.2%
거 101
 
7.2%
전 100
 
7.1%
학 48
 
3.4%
교 38
 
2.7%
도 34
 
2.4%
Other values (114) 533
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1220
86.4%
Space Separator 138
 
9.8%
Decimal Number 36
 
2.5%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 108
 
8.9%
관 105
 
8.6%
자 105
 
8.6%
보 102
 
8.4%
거 101
 
8.3%
전 100
 
8.2%
학 48
 
3.9%
교 38
 
3.1%
도 34
 
2.8%
봉 29
 
2.4%
Other values (103) 450
36.9%
Decimal Number
ValueCountFrequency (%)
1 14
38.9%
2 11
30.6%
3 5
 
13.9%
4 3
 
8.3%
7 1
 
2.8%
9 1
 
2.8%
5 1
 
2.8%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1220
86.4%
Common 192
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 108
 
8.9%
관 105
 
8.6%
자 105
 
8.6%
보 102
 
8.4%
거 101
 
8.3%
전 100
 
8.2%
학 48
 
3.9%
교 38
 
3.1%
도 34
 
2.8%
봉 29
 
2.4%
Other values (103) 450
36.9%
Common
ValueCountFrequency (%)
138
71.9%
1 14
 
7.3%
2 11
 
5.7%
( 7
 
3.6%
) 7
 
3.6%
3 5
 
2.6%
- 4
 
2.1%
4 3
 
1.6%
7 1
 
0.5%
9 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1220
86.4%
ASCII 192
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
71.9%
1 14
 
7.3%
2 11
 
5.7%
( 7
 
3.6%
) 7
 
3.6%
3 5
 
2.6%
- 4
 
2.1%
4 3
 
1.6%
7 1
 
0.5%
9 1
 
0.5%
Hangul
ValueCountFrequency (%)
소 108
 
8.9%
관 105
 
8.6%
자 105
 
8.6%
보 102
 
8.4%
거 101
 
8.3%
전 100
 
8.2%
학 48
 
3.9%
교 38
 
3.1%
도 34
 
2.8%
봉 29
 
2.4%
Other values (103) 450
36.9%

소재지도로명주소
Text

Distinct81
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-11T13:13:27.528324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length20.872549
Min length9

Characters and Unicode

Total characters2129
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)65.7%

Sample

1st row서울특별시 도봉구 도봉로 486-1 쌍문역
2nd row서울특별시 도봉구 도봉로 678 (방학동)
3rd row서울특별시 도봉구 도봉로 678 (방학동)
4th row서울특별시 도봉구 노해로 403
5th row서울특별시 도봉구 방학1동 722
ValueCountFrequency (%)
서울특별시 102
22.3%
도봉구 102
22.3%
도봉로 14
 
3.1%
창동 12
 
2.6%
마들로 9
 
2.0%
방학동 8
 
1.7%
쌍문동 8
 
1.7%
도봉동 7
 
1.5%
노해로 7
 
1.5%
시루봉로 6
 
1.3%
Other values (119) 183
40.0%
2023-12-11T13:13:28.015694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
16.7%
봉 150
 
7.0%
도 144
 
6.8%
구 111
 
5.2%
시 109
 
5.1%
서 103
 
4.8%
울 102
 
4.8%
특 102
 
4.8%
별 102
 
4.8%
로 74
 
3.5%
Other values (61) 776
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1354
63.6%
Space Separator 356
 
16.7%
Decimal Number 347
 
16.3%
Close Punctuation 27
 
1.3%
Open Punctuation 27
 
1.3%
Dash Punctuation 18
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 150
11.1%
도 144
10.6%
구 111
 
8.2%
시 109
 
8.1%
서 103
 
7.6%
울 102
 
7.5%
특 102
 
7.5%
별 102
 
7.5%
로 74
 
5.5%
동 52
 
3.8%
Other values (47) 305
22.5%
Decimal Number
ValueCountFrequency (%)
6 50
14.4%
2 47
13.5%
1 45
13.0%
4 39
11.2%
3 39
11.2%
5 36
10.4%
7 32
9.2%
8 23
6.6%
9 22
6.3%
0 14
 
4.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1354
63.6%
Common 775
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 150
11.1%
도 144
10.6%
구 111
 
8.2%
시 109
 
8.1%
서 103
 
7.6%
울 102
 
7.5%
특 102
 
7.5%
별 102
 
7.5%
로 74
 
5.5%
동 52
 
3.8%
Other values (47) 305
22.5%
Common
ValueCountFrequency (%)
356
45.9%
6 50
 
6.5%
2 47
 
6.1%
1 45
 
5.8%
4 39
 
5.0%
3 39
 
5.0%
5 36
 
4.6%
7 32
 
4.1%
) 27
 
3.5%
( 27
 
3.5%
Other values (4) 77
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1354
63.6%
ASCII 775
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
45.9%
6 50
 
6.5%
2 47
 
6.1%
1 45
 
5.8%
4 39
 
5.0%
3 39
 
5.0%
5 36
 
4.6%
7 32
 
4.1%
) 27
 
3.5%
( 27
 
3.5%
Other values (4) 77
 
9.9%
Hangul
ValueCountFrequency (%)
봉 150
11.1%
도 144
10.6%
구 111
 
8.2%
시 109
 
8.1%
서 103
 
7.6%
울 102
 
7.5%
특 102
 
7.5%
별 102
 
7.5%
로 74
 
5.5%
동 52
 
3.8%
Other values (47) 305
22.5%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

위도
Real number (ℝ)

Distinct81
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.661252
Minimum37.63868
Maximum37.70046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T13:13:28.189011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.63868
5-th percentile37.646131
Q137.651035
median37.65787
Q337.668658
95-th percentile37.686726
Maximum37.70046
Range0.06178
Interquartile range (IQR)0.0176225

Descriptive statistics

Standard deviation0.013007758
Coefficient of variation (CV)0.00034538834
Kurtosis-0.12728333
Mean37.661252
Median Absolute Deviation (MAD)0.008805
Skewness0.76305275
Sum3841.4477
Variance0.00016920176
MonotonicityNot monotonic
2023-12-11T13:13:28.368613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.65257 3
 
2.9%
37.66482 3
 
2.9%
37.64896 3
 
2.9%
37.66367 3
 
2.9%
37.65926 2
 
2.0%
37.66268 2
 
2.0%
37.66877 2
 
2.0%
37.66446 2
 
2.0%
37.65802 2
 
2.0%
37.648 2
 
2.0%
Other values (71) 78
76.5%
ValueCountFrequency (%)
37.63868 1
1.0%
37.64369 1
1.0%
37.64372 1
1.0%
37.64559 1
1.0%
37.64593 1
1.0%
37.64612 1
1.0%
37.64634 1
1.0%
37.64672 1
1.0%
37.64716 1
1.0%
37.64783 1
1.0%
ValueCountFrequency (%)
37.70046 1
1.0%
37.68914 1
1.0%
37.6887 1
1.0%
37.68859 1
1.0%
37.68674 2
2.0%
37.68647 1
1.0%
37.68508 1
1.0%
37.68208 1
1.0%
37.68105 1
1.0%
37.68039 1
1.0%

경도
Real number (ℝ)

Distinct82
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04108
Minimum127.0129
Maximum127.05679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T13:13:28.536701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0129
5-th percentile127.01665
Q1127.03636
median127.0436
Q3127.04747
95-th percentile127.05209
Maximum127.05679
Range0.04389
Interquartile range (IQR)0.01111

Descriptive statistics

Standard deviation0.0098599974
Coefficient of variation (CV)7.761267 × 10-5
Kurtosis1.2406666
Mean127.04108
Median Absolute Deviation (MAD)0.00538
Skewness-1.2180371
Sum12958.19
Variance9.7219549 × 10-5
MonotonicityNot monotonic
2023-12-11T13:13:28.737302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0129 3
 
2.9%
127.0436 3
 
2.9%
127.04988 3
 
2.9%
127.04336 3
 
2.9%
127.03875 2
 
2.0%
127.05047 2
 
2.0%
127.03836 2
 
2.0%
127.03504 2
 
2.0%
127.04707 2
 
2.0%
127.04597 2
 
2.0%
Other values (72) 78
76.5%
ValueCountFrequency (%)
127.0129 3
2.9%
127.01399 1
 
1.0%
127.01568 1
 
1.0%
127.01616 1
 
1.0%
127.02604 2
2.0%
127.02605 1
 
1.0%
127.02655 1
 
1.0%
127.02683 1
 
1.0%
127.02791 1
 
1.0%
127.02886 1
 
1.0%
ValueCountFrequency (%)
127.05679 1
1.0%
127.05332 1
1.0%
127.0528 1
1.0%
127.05268 2
2.0%
127.0521 1
1.0%
127.05195 1
1.0%
127.05179 1
1.0%
127.05158 1
1.0%
127.05154 1
1.0%
127.05104 1
1.0%

보관대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.098039
Minimum0
Maximum150
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T13:13:28.923715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median20
Q340
95-th percentile89.85
Maximum150
Range150
Interquartile range (IQR)30

Descriptive statistics

Standard deviation30.146018
Coefficient of variation (CV)0.96938644
Kurtosis3.5738867
Mean31.098039
Median Absolute Deviation (MAD)10
Skewness1.8757751
Sum3172
Variance908.78237
MonotonicityNot monotonic
2023-12-11T13:13:29.093370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20 21
20.6%
10 17
16.7%
30 12
11.8%
7 9
8.8%
50 6
 
5.9%
40 5
 
4.9%
5 4
 
3.9%
80 4
 
3.9%
0 3
 
2.9%
21 2
 
2.0%
Other values (17) 19
18.6%
ValueCountFrequency (%)
0 3
 
2.9%
5 4
 
3.9%
7 9
8.8%
9 1
 
1.0%
10 17
16.7%
14 1
 
1.0%
15 1
 
1.0%
20 21
20.6%
21 2
 
2.0%
25 2
 
2.0%
ValueCountFrequency (%)
150 1
 
1.0%
135 1
 
1.0%
120 1
 
1.0%
118 1
 
1.0%
100 1
 
1.0%
90 1
 
1.0%
87 1
 
1.0%
80 4
3.9%
78 1
 
1.0%
68 1
 
1.0%

설치년도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

설치형태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
단독형
77 
휀스형
23 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0196078
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단독형
2nd row단독형
3rd row단독형
4th row휀스형
5th row휀스형

Common Values

ValueCountFrequency (%)
단독형 77
75.5%
휀스형 23
 
22.5%
<NA> 2
 
2.0%

Length

2023-12-11T13:13:29.354812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:29.487611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독형 77
75.5%
휀스형 23
 
22.5%
na 2
 
2.0%

차양막설치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
True
76 
False
26 
ValueCountFrequency (%)
True 76
74.5%
False 26
 
25.5%
2023-12-11T13:13:29.613374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기주입기비치여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
False
97 
True
 
5
ValueCountFrequency (%)
False 97
95.1%
True 5
 
4.9%
2023-12-11T13:13:29.727856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기주입기유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

수리대설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
False
102 
ValueCountFrequency (%)
False 102
100.0%
2023-12-11T13:13:29.842924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
02-2091-0000
102 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2091-0000
2nd row02-2091-0000
3rd row02-2091-0000
4th row02-2091-0000
5th row02-2091-0000

Common Values

ValueCountFrequency (%)
02-2091-0000 102
100.0%

Length

2023-12-11T13:13:29.997369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:30.135890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2091-0000 102
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
서울특별시 도봉구청
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 도봉구청 102
100.0%

Length

2023-12-11T13:13:30.268846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:30.400858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 102
50.0%
도봉구청 102
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2018-05-15
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-05-15
2nd row2018-05-15
3rd row2018-05-15
4th row2018-05-15
5th row2018-05-15

Common Values

ValueCountFrequency (%)
2018-05-15 102
100.0%

Length

2023-12-11T13:13:30.532682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:30.664410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-05-15 102
100.0%

Interactions

2023-12-11T13:13:25.906039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.390699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.659109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.992540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.482434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.751468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:26.087424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.559260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:25.819727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:13:30.764999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자전거보관소명소재지도로명주소위도경도보관대수설치형태차양막설치여부공기주입기비치여부
자전거보관소명1.0000.9991.0001.0000.5140.9390.8550.198
소재지도로명주소0.9991.0000.9980.9990.9200.0000.0000.000
위도1.0000.9981.0000.4330.0000.2560.1410.000
경도1.0000.9990.4331.0000.0000.0000.1390.203
보관대수0.5140.9200.0000.0001.0000.3530.3890.756
설치형태0.9390.0000.2560.0000.3531.0000.9850.000
차양막설치여부0.8550.0000.1410.1390.3890.9851.0000.000
공기주입기비치여부0.1980.0000.0000.2030.7560.0000.0001.000
2023-12-11T13:13:30.926831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차양막설치여부설치형태공기주입기비치여부
차양막설치여부1.0000.8880.000
설치형태0.8881.0000.000
공기주입기비치여부0.0000.0001.000
2023-12-11T13:13:31.059195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도보관대수설치형태차양막설치여부공기주입기비치여부
위도1.0000.1170.1440.1860.0990.000
경도0.1171.0000.1730.0000.1310.194
보관대수0.1440.1731.0000.2450.2500.591
설치형태0.1860.0000.2451.0000.8880.000
차양막설치여부0.0990.1310.2500.8881.0000.000
공기주입기비치여부0.0000.1940.5910.0000.0001.000

Missing values

2023-12-11T13:13:26.241813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:13:26.427270image/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

자전거보관소명소재지도로명주소소재지지번주소위도경도보관대수설치년도설치형태차양막설치여부공기주입기비치여부공기주입기유형수리대설치여부관리기관전화번호관리기관명데이터기준일자
0쌍문역(1번출구) 자전거보관소 - 2서울특별시 도봉구 도봉로 486-1 쌍문역<NA>37.64906127.035210<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
1도봉 홈플러스 앞서울특별시 도봉구 도봉로 678 (방학동)<NA>37.66482127.04360<NA>단독형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
2방학동 홈플러스 자전거보관소 - 2서울특별시 도봉구 도봉로 678 (방학동)<NA>37.66482127.04360<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
3창동교 자전거보관소서울특별시 도봉구 노해로 403<NA>37.6537127.052850<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
4상계교 자전거보관소서울특별시 도봉구 방학1동 722<NA>37.66403127.0487510<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
5노원교 자전거보관소서울특별시 도봉구 도봉동 노원교<NA>37.67891127.0510415<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
6서원아파트앞 광장 자전거보관소서울특별시 도봉구 도봉동 641<NA>37.67136127.0472710<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
7농협하나로마트 앞 자전거보관소서울특별시 도봉구 마들로11길 20 (창동)<NA>37.6554127.05215<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
8한일병원 앞 자전거보관소서울특별시 도봉구 우이천로 308 (쌍문동)<NA>37.64634127.028865<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
9도봉천광장 자전거보관소서울특별시 도봉구 도봉동 도봉산<NA>37.70046127.0156825<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
자전거보관소명소재지도로명주소소재지지번주소위도경도보관대수설치년도설치형태차양막설치여부공기주입기비치여부공기주입기유형수리대설치여부관리기관전화번호관리기관명데이터기준일자
92도봉경찰서 자전거보관소서울특별시 도봉구 노해로 403<NA>37.65336127.0526840<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
93창동시립문화센터 자전거보관소서울특별시 도봉구 노해로63길 43<NA>37.65259127.0440760<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
94방학2동주민센터 자전거보관소서울특별시 도봉구 시루봉로 226<NA>37.66818127.035047<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
95쌍문지구대 자전거보관소서울특별시 도봉구 쌍문2동 43-3<NA>37.65754127.0380610<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
96법조타운 공영주차장 자전거보관소서울특별시 도봉구 마들로 749<NA>37.67712127.0469530<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
97창2동공영주차장 자전거보관소서울특별시 도봉구 창동<NA>37.64896127.043365<NA>휀스형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
98도봉구청 자전거보관소서울특별시 도봉구<NA>37.66877127.0470720<NA><NA>NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
99노원세무서 자전거보관소서울특별시 도봉구 노해로69길<NA>37.65419127.0567920<NA>단독형NN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
100도봉경찰서 자전거보관소서울특별시 도봉구 노해로 403<NA>37.65336127.0526820<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15
101도봉등기소 자전거보관소서울특별시 도봉구 노해로 325<NA>37.65162127.0444220<NA>단독형YN<NA>N02-2091-0000서울특별시 도봉구청2018-05-15