Overview

Dataset statistics

Number of variables15
Number of observations25
Missing cells12
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory129.3 B

Variable types

Text3
Numeric2
Categorical6
Boolean3
DateTime1

Dataset

Description대전광역시 서구 관내에 설치된 자전거보관소 내 공기주입기 설치 현황 정보(주소, 위경도, 보관대수, 공기주입기 설치여부 등)를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15124354/fileData.do

Alerts

보관대수 has constant value ""Constant
설치형태 has constant value ""Constant
공기주입기비치여부 has constant value ""Constant
수리대설치여부 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
차양막설치여부 is highly overall correlated with 공기주입기유형High correlation
공기주입기유형 is highly overall correlated with 차양막설치여부High correlation
소재지도로명주소 has 12 (48.0%) missing valuesMissing
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:00:47.625715
Analysis finished2023-12-12 08:00:49.242895
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자전거보관소명
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:00:49.418631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.16
Min length6

Characters and Unicode

Total characters179
Distinct characters13
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

Unique21 ?
Unique (%)84.0%

Sample

1st row서구-1-111
2nd row서구-1-116
3rd row서구-1-18
4th row서구-1-75
5th row서구-1-72
ValueCountFrequency (%)
서구-2-59 2
 
8.0%
서구-2-61 2
 
8.0%
서구-1-6 1
 
4.0%
서구-1-111 1
 
4.0%
서구-1-23 1
 
4.0%
서구-1-160 1
 
4.0%
서구-2-66 1
 
4.0%
서구-2-25 1
 
4.0%
서구-1-99 1
 
4.0%
서구-1-65 1
 
4.0%
Other values (13) 13
52.0%
2023-12-12T17:00:49.739731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 49
27.4%
1 33
18.4%
서 25
14.0%
구 25
14.0%
2 11
 
6.1%
6 10
 
5.6%
5 8
 
4.5%
9 5
 
2.8%
0 4
 
2.2%
7 3
 
1.7%
Other values (3) 6
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
44.7%
Other Letter 50
27.9%
Dash Punctuation 49
27.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
41.2%
2 11
 
13.8%
6 10
 
12.5%
5 8
 
10.0%
9 5
 
6.2%
0 4
 
5.0%
7 3
 
3.8%
8 2
 
2.5%
4 2
 
2.5%
3 2
 
2.5%
Other Letter
ValueCountFrequency (%)
서 25
50.0%
구 25
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
72.1%
Hangul 50
 
27.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 49
38.0%
1 33
25.6%
2 11
 
8.5%
6 10
 
7.8%
5 8
 
6.2%
9 5
 
3.9%
0 4
 
3.1%
7 3
 
2.3%
8 2
 
1.6%
4 2
 
1.6%
Hangul
ValueCountFrequency (%)
서 25
50.0%
구 25
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
72.1%
Hangul 50
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 49
38.0%
1 33
25.6%
2 11
 
8.5%
6 10
 
7.8%
5 8
 
6.2%
9 5
 
3.9%
0 4
 
3.1%
7 3
 
2.3%
8 2
 
1.6%
4 2
 
1.6%
Hangul
ValueCountFrequency (%)
서 25
50.0%
구 25
50.0%

소재지도로명주소
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Memory size332.0 B
2023-12-12T17:00:49.918449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.769231
Min length14

Characters and Unicode

Total characters218
Distinct characters35
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

Unique13 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 둔산로 134
2nd row대전광역시 서구 문정로48번길 20
3rd row대전광역시 서구 계백로 1284
4th row대전광역시 서구 동서대로 1040
5th row대전광역시 서구 대덕대로 202
ValueCountFrequency (%)
대전광역시 13
26.0%
서구 13
26.0%
46 2
 
4.0%
대덕대로 2
 
4.0%
8-6 1
 
2.0%
정림동로 1
 
2.0%
400 1
 
2.0%
116 1
 
2.0%
문정로 1
 
2.0%
60 1
 
2.0%
Other values (14) 14
28.0%
2023-12-12T17:00:50.210727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
17.0%
대 18
 
8.3%
서 14
 
6.4%
광 13
 
6.0%
역 13
 
6.0%
시 13
 
6.0%
구 13
 
6.0%
전 13
 
6.0%
로 12
 
5.5%
1 8
 
3.7%
Other values (25) 64
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
63.8%
Decimal Number 41
 
18.8%
Space Separator 37
 
17.0%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 18
12.9%
서 14
10.1%
광 13
9.4%
역 13
9.4%
시 13
9.4%
구 13
9.4%
전 13
9.4%
로 12
8.6%
산 3
 
2.2%
문 3
 
2.2%
Other values (14) 24
17.3%
Decimal Number
ValueCountFrequency (%)
1 8
19.5%
4 7
17.1%
0 7
17.1%
6 5
12.2%
3 4
9.8%
2 4
9.8%
8 3
 
7.3%
5 2
 
4.9%
9 1
 
2.4%
Space Separator
ValueCountFrequency (%)
37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
63.8%
Common 79
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 18
12.9%
서 14
10.1%
광 13
9.4%
역 13
9.4%
시 13
9.4%
구 13
9.4%
전 13
9.4%
로 12
8.6%
산 3
 
2.2%
문 3
 
2.2%
Other values (14) 24
17.3%
Common
ValueCountFrequency (%)
37
46.8%
1 8
 
10.1%
4 7
 
8.9%
0 7
 
8.9%
6 5
 
6.3%
3 4
 
5.1%
2 4
 
5.1%
8 3
 
3.8%
5 2
 
2.5%
9 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
63.8%
ASCII 79
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
46.8%
1 8
 
10.1%
4 7
 
8.9%
0 7
 
8.9%
6 5
 
6.3%
3 4
 
5.1%
2 4
 
5.1%
8 3
 
3.8%
5 2
 
2.5%
9 1
 
1.3%
Hangul
ValueCountFrequency (%)
대 18
12.9%
서 14
10.1%
광 13
9.4%
역 13
9.4%
시 13
9.4%
구 13
9.4%
전 13
9.4%
로 12
8.6%
산 3
 
2.2%
문 3
 
2.2%
Other values (14) 24
17.3%

소재지지번주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:00:50.433436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length21.24
Min length16

Characters and Unicode

Total characters531
Distinct characters83
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 월평동 1555 갑천역1번출구
2nd row대전광역시 서구 월평동 1517 카이스트교
3rd row대전광역시 서구 둔산동 1452
4th row대전광역시 서구 탄방동 651
5th row대전광역시 서구 정림동 509
ValueCountFrequency (%)
서구 26
21.7%
대전광역시 25
20.8%
둔산동 9
 
7.5%
인근 4
 
3.3%
탄방동 3
 
2.5%
월평동 3
 
2.5%
정림동 3
 
2.5%
괴곡동 2
 
1.7%
1555 2
 
1.7%
재뜰네거리 1
 
0.8%
Other values (42) 42
35.0%
2023-12-12T17:00:50.774791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
17.9%
구 31
 
5.8%
역 28
 
5.3%
서 28
 
5.3%
동 26
 
4.9%
대 25
 
4.7%
광 25
 
4.7%
시 25
 
4.7%
전 25
 
4.7%
1 23
 
4.3%
Other values (73) 200
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
62.1%
Decimal Number 97
 
18.3%
Space Separator 95
 
17.9%
Dash Punctuation 6
 
1.1%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 31
 
9.4%
역 28
 
8.5%
서 28
 
8.5%
동 26
 
7.9%
대 25
 
7.6%
광 25
 
7.6%
시 25
 
7.6%
전 25
 
7.6%
둔 9
 
2.7%
산 9
 
2.7%
Other values (58) 99
30.0%
Decimal Number
ValueCountFrequency (%)
1 23
23.7%
5 23
23.7%
2 10
10.3%
4 10
10.3%
3 8
 
8.2%
7 6
 
6.2%
6 6
 
6.2%
0 4
 
4.1%
8 4
 
4.1%
9 3
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
62.1%
Common 198
37.3%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 31
 
9.4%
역 28
 
8.5%
서 28
 
8.5%
동 26
 
7.9%
대 25
 
7.6%
광 25
 
7.6%
시 25
 
7.6%
전 25
 
7.6%
둔 9
 
2.7%
산 9
 
2.7%
Other values (58) 99
30.0%
Common
ValueCountFrequency (%)
95
48.0%
1 23
 
11.6%
5 23
 
11.6%
2 10
 
5.1%
4 10
 
5.1%
3 8
 
4.0%
- 6
 
3.0%
7 6
 
3.0%
6 6
 
3.0%
0 4
 
2.0%
Other values (2) 7
 
3.5%
Latin
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
62.1%
ASCII 201
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
47.3%
1 23
 
11.4%
5 23
 
11.4%
2 10
 
5.0%
4 10
 
5.0%
3 8
 
4.0%
- 6
 
3.0%
7 6
 
3.0%
6 6
 
3.0%
0 4
 
2.0%
Other values (5) 10
 
5.0%
Hangul
ValueCountFrequency (%)
구 31
 
9.4%
역 28
 
8.5%
서 28
 
8.5%
동 26
 
7.9%
대 25
 
7.6%
광 25
 
7.6%
시 25
 
7.6%
전 25
 
7.6%
둔 9
 
2.7%
산 9
 
2.7%
Other values (58) 99
30.0%

위도
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.337176
Minimum36.2894
Maximum36.3687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T17:00:50.890059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.2894
5-th percentile36.29174
Q136.3148
median36.349
Q336.3539
95-th percentile36.36338
Maximum36.3687
Range0.0793
Interquartile range (IQR)0.0391

Descriptive statistics

Standard deviation0.02434422
Coefficient of variation (CV)0.00066995356
Kurtosis-0.67592813
Mean36.337176
Median Absolute Deviation (MAD)0.0061
Skewness-0.87865808
Sum908.4294
Variance0.00059264107
MonotonicityNot monotonic
2023-12-12T17:00:51.020332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
36.3539 2
 
8.0%
36.3512 2
 
8.0%
36.3455 1
 
4.0%
36.3577 1
 
4.0%
36.3385 1
 
4.0%
36.3148 1
 
4.0%
36.3034 1
 
4.0%
36.3045 1
 
4.0%
36.2897 1
 
4.0%
36.2999 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
36.2894 1
4.0%
36.2897 1
4.0%
36.2999 1
4.0%
36.3034 1
4.0%
36.3045 1
4.0%
36.3078 1
4.0%
36.3148 1
4.0%
36.3309 1
4.0%
36.3385 1
4.0%
36.3455 1
4.0%
ValueCountFrequency (%)
36.3687 1
4.0%
36.3648 1
4.0%
36.3577 1
4.0%
36.3551 1
4.0%
36.3542 1
4.0%
36.3539 2
8.0%
36.3514 1
4.0%
36.3512 2
8.0%
36.3508 1
4.0%
36.3506 1
4.0%

경도
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.37558
Minimum127.335
Maximum127.3962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T17:00:51.139002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.335
5-th percentile127.3532
Q1127.3655
median127.3797
Q3127.3859
95-th percentile127.3948
Maximum127.3962
Range0.0612
Interquartile range (IQR)0.0204

Descriptive statistics

Standard deviation0.015986244
Coefficient of variation (CV)0.00012550478
Kurtosis0.029541915
Mean127.37558
Median Absolute Deviation (MAD)0.011
Skewness-0.82321009
Sum3184.3895
Variance0.00025556
MonotonicityNot monotonic
2023-12-12T17:00:51.243248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
127.3532 2
 
8.0%
127.3846 1
 
4.0%
127.3953 1
 
4.0%
127.3928 1
 
4.0%
127.3834 1
 
4.0%
127.363 1
 
4.0%
127.3659 1
 
4.0%
127.3546 1
 
4.0%
127.335 1
 
4.0%
127.3797 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
127.335 1
4.0%
127.3532 2
8.0%
127.3546 1
4.0%
127.3562 1
4.0%
127.363 1
4.0%
127.3655 1
4.0%
127.3659 1
4.0%
127.3687 1
4.0%
127.377 1
4.0%
127.3778 1
4.0%
ValueCountFrequency (%)
127.3962 1
4.0%
127.3953 1
4.0%
127.3928 1
4.0%
127.3921 1
4.0%
127.3903 1
4.0%
127.3885 1
4.0%
127.3859 1
4.0%
127.3851 1
4.0%
127.3846 1
4.0%
127.3845 1
4.0%

보관대수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
6
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 25
100.0%

Length

2023-12-12T17:00:51.362761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:51.444115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 25
100.0%

설치년도
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2021
17 
2022
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2022

Common Values

ValueCountFrequency (%)
2021 17
68.0%
2022 8
32.0%

Length

2023-12-12T17:00:51.538495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:51.646375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 17
68.0%
2022 8
32.0%

설치형태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
단독형
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독형 25
100.0%

Length

2023-12-12T17:00:51.755112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:51.840174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독형 25
100.0%

차양막설치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
18 
False
7 
ValueCountFrequency (%)
True 18
72.0%
False 7
 
28.0%
2023-12-12T17:00:51.915638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기주입기비치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-12T17:00:51.995999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기주입기유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
자동
18 
수동
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 18
72.0%
수동 7
 
28.0%

Length

2023-12-12T17:00:52.112170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:52.212873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 18
72.0%
수동 7
 
28.0%

수리대설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
False
25 
ValueCountFrequency (%)
False 25
100.0%
2023-12-12T17:00:52.307642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
042-288-3924
25 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row042-288-3924
2nd row042-288-3924
3rd row042-288-3924
4th row042-288-3924
5th row042-288-3924

Common Values

ValueCountFrequency (%)
042-288-3924 25
100.0%

Length

2023-12-12T17:00:52.418339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:52.533901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
042-288-3924 25
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
대전 서구청 건설과
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전 서구청 건설과
2nd row대전 서구청 건설과
3rd row대전 서구청 건설과
4th row대전 서구청 건설과
5th row대전 서구청 건설과

Common Values

ValueCountFrequency (%)
대전 서구청 건설과 25
100.0%

Length

2023-12-12T17:00:52.647513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:00:52.751917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전 25
33.3%
서구청 25
33.3%
건설과 25
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-02-01 00:00:00
Maximum2023-02-01 00:00:00
2023-12-12T17:00:52.851965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:00:52.946846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:00:48.610290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:00:48.406571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:00:48.726489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:00:48.502911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:00:53.020870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자전거보관소명소재지도로명주소소재지지번주소위도경도설치년도차양막설치여부공기주입기유형
자전거보관소명1.0001.0001.0000.8570.9521.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.8571.0001.0001.0000.8680.5980.1930.193
경도0.9521.0001.0000.8681.0000.4490.0000.000
설치년도1.0001.0001.0000.5980.4491.0000.0000.000
차양막설치여부1.0001.0001.0000.1930.0000.0001.0000.987
공기주입기유형1.0001.0001.0000.1930.0000.0000.9871.000
2023-12-12T17:00:53.167078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도공기주입기유형차양막설치여부
설치년도1.0000.0000.000
공기주입기유형0.0001.0000.896
차양막설치여부0.0000.8961.000
2023-12-12T17:00:53.316739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치년도차양막설치여부공기주입기유형
위도1.0000.3960.4940.1110.111
경도0.3961.0000.3600.0000.000
설치년도0.4940.3601.0000.0000.000
차양막설치여부0.1110.0000.0001.0000.896
공기주입기유형0.1110.0000.0000.8961.000

Missing values

2023-12-12T17:00:48.872987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:00:49.124656image/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
0서구-1-111<NA>대전광역시 서구 월평동 1555 갑천역1번출구36.3539127.353262021단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
1서구-1-116<NA>대전광역시 서구 월평동 1517 카이스트교36.3648127.368762021단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
2서구-1-18대전광역시 서구 둔산로 134대전광역시 서구 둔산동 145236.3512127.388562021단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
3서구-1-75대전광역시 서구 문정로48번길 20대전광역시 서구 탄방동 65136.3459127.384562021단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
4서구-1-72대전광역시 서구 계백로 1284대전광역시 서구 정림동 50936.3078127.365562022단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
5서구1-58<NA>대전광역시 서구 둔산동 2161 세이브존 인근36.3512127.396262022단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
6서구-2-109대전광역시 서구 동서대로 1040대전광역시 서구 변동 70-236.3309127.37762022단독형NY수동N042-288-3924대전 서구청 건설과2023-02-01
7서구-1-110<NA>대전광역시 서구 월평동 1555 갑천역3번출구36.3539127.353262021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
8서구-2-61<NA>대전광역시 서구 괴곡동 315-5 펌프트랙36.2894127.356262021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
9서구-1-51대전광역시 서구 대덕대로 202대전광역시 서구 둔산동 116536.3508127.378362021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
자전거보관소명소재지도로명주소소재지지번주소위도경도보관대수설치년도설치형태차양막설치여부공기주입기비치여부공기주입기유형수리대설치여부관리기관전화번호관리기관명데이터기준일자
15서구-1-70대전광역시 서구 계룡로553번길 60대전광역시 서구 탄방동 66436.3455127.385162021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
16서구-1-65대전광역시 서구 문정로 116대전광역시 서구 탄방동 83836.3466127.392162021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
17서구-1-99대전광역시 서구 대덕대로 400대전광역시 서구 만년동 29736.3687127.379762021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
18서구-2-25<NA>대전광역시 서구 관저동 1184 관저2동행정복지센터 인근 버스정류장36.2999127.33562021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
19서구-2-61<NA>대전광역시 서구 서구 괴곡동 437-7 인근 MTB트랙36.2897127.354662021단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
20서구-2-66대전광역시 서구 정림동로 8-6대전광역시 서구 정림동 63536.3045127.365962022단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
21서구-2-59<NA>대전광역시 서구 정림동 402-2 서구국민체육센터36.3034127.36362022단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
22서구-2-59대전광역시 서구 도마3길 46대전광역시 서구 도마동 132-536.3148127.383462022단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
23서구-1-160<NA>대전광역시 서구 용문동 595 용문역4번출구36.3385127.392862022단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01
24서구-1-164<NA>대전광역시 서구 둔산동 2154 재뜰네거리 일원36.3577127.395362022단독형YY자동N042-288-3924대전 서구청 건설과2023-02-01