Overview

Dataset statistics

Number of variables14
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory119.1 B

Variable types

Text2
Categorical8
Numeric2
Boolean2

Dataset

Description충청남도 자전거대여소 관런 데이터로 자전거대여소명, 자전거대여소 구분, 소재지지번주소, 운영시작시간, 운영종료시간 등의 정보입니다.
URLhttps://www.data.go.kr/data/15118745/fileData.do

Alerts

관리기관명 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
운영종료시각 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
요금구분 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
자전거이용요금 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
운영시작시각 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
휴무일 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
자전거대여소구분 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
수리대설치여부 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
자전거보유대수 is highly overall correlated with 거치대수 and 9 other fieldsHigh correlation
거치대수 is highly overall correlated with 자전거보유대수 and 9 other fieldsHigh correlation
휴무일 is highly imbalanced (51.5%)Imbalance
자전거이용요금 is highly imbalanced (51.5%)Imbalance
자전거대여소명 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:54:09.569575
Analysis finished2023-12-12 00:54:11.956851
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자전거대여소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:54:12.109793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length6.5
Min length3

Characters and Unicode

Total characters169
Distinct characters90
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row종합터미널
2nd row신월초등학교
3rd row신관초교차로
4th row신관동주민센터
5th row검찰청
ValueCountFrequency (%)
대여소 3
 
9.4%
종합터미널 1
 
3.1%
신월초등학교 1
 
3.1%
온양온천역 1
 
3.1%
은행나무길 1
 
3.1%
u-bike 1
 
3.1%
자전거대여소 1
 
3.1%
금강하구둑 1
 
3.1%
터미널 1
 
3.1%
자전거 1
 
3.1%
Other values (20) 20
62.5%
2023-12-12T09:54:12.511386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 6
 
3.6%
주 6
 
3.6%
6
 
3.6%
터 5
 
3.0%
신 5
 
3.0%
대 5
 
3.0%
여 4
 
2.4%
교 4
 
2.4%
관 4
 
2.4%
차 4
 
2.4%
Other values (80) 120
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
90.5%
Uppercase Letter 7
 
4.1%
Space Separator 6
 
3.6%
Dash Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 6
 
3.9%
주 6
 
3.9%
터 5
 
3.3%
신 5
 
3.3%
대 5
 
3.3%
여 4
 
2.6%
교 4
 
2.6%
관 4
 
2.6%
차 4
 
2.6%
소 4
 
2.6%
Other values (69) 106
69.3%
Uppercase Letter
ValueCountFrequency (%)
U 1
14.3%
B 1
14.3%
I 1
14.3%
K 1
14.3%
E 1
14.3%
S 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
90.5%
Common 9
 
5.3%
Latin 7
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 6
 
3.9%
주 6
 
3.9%
터 5
 
3.3%
신 5
 
3.3%
대 5
 
3.3%
여 4
 
2.6%
교 4
 
2.6%
관 4
 
2.6%
차 4
 
2.6%
소 4
 
2.6%
Other values (69) 106
69.3%
Latin
ValueCountFrequency (%)
U 1
14.3%
B 1
14.3%
I 1
14.3%
K 1
14.3%
E 1
14.3%
S 1
14.3%
G 1
14.3%
Common
ValueCountFrequency (%)
6
66.7%
- 1
 
11.1%
2 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
90.5%
ASCII 16
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 6
 
3.9%
주 6
 
3.9%
터 5
 
3.3%
신 5
 
3.3%
대 5
 
3.3%
여 4
 
2.6%
교 4
 
2.6%
관 4
 
2.6%
차 4
 
2.6%
소 4
 
2.6%
Other values (69) 106
69.3%
ASCII
ValueCountFrequency (%)
6
37.5%
- 1
 
6.2%
U 1
 
6.2%
B 1
 
6.2%
I 1
 
6.2%
K 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%
2 1
 
6.2%
) 1
 
6.2%

자전거대여소구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
무인대여소
21 
유인대여소
5 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무인대여소 21
80.8%
유인대여소 5
 
19.2%

Length

2023-12-12T09:54:12.724362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:12.867302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무인대여소 21
80.8%
유인대여소 5
 
19.2%

소재지지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T09:54:13.108143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.846154
Min length13

Characters and Unicode

Total characters464
Distinct characters60
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

Unique26 ?
Unique (%)100.0%

Sample

1st row충청남도 공주시 신관동 633
2nd row충청남도 공주시 신관동 661
3rd row충청남도 공주시 신관동 540-16
4th row충청남도 공주시 신관동 585-4
5th row충청남도 공주시 신관동 671-1
ValueCountFrequency (%)
충청남도 26
23.6%
공주시 20
18.2%
신관동 7
 
6.4%
아산시 4
 
3.6%
웅진동 3
 
2.7%
외 3
 
2.7%
옥룡동 2
 
1.8%
중동 2
 
1.8%
364-4 1
 
0.9%
장재리 1
 
0.9%
Other values (41) 41
37.3%
2023-12-12T09:54:13.506699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
18.1%
도 27
 
5.8%
충 26
 
5.6%
청 26
 
5.6%
남 26
 
5.6%
시 25
 
5.4%
동 22
 
4.7%
공 20
 
4.3%
주 20
 
4.3%
- 16
 
3.4%
Other values (50) 172
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
58.8%
Decimal Number 91
 
19.6%
Space Separator 84
 
18.1%
Dash Punctuation 16
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 27
9.9%
충 26
 
9.5%
청 26
 
9.5%
남 26
 
9.5%
시 25
 
9.2%
동 22
 
8.1%
공 20
 
7.3%
주 20
 
7.3%
신 8
 
2.9%
관 7
 
2.6%
Other values (38) 66
24.2%
Decimal Number
ValueCountFrequency (%)
3 14
15.4%
5 14
15.4%
2 13
14.3%
6 13
14.3%
1 13
14.3%
4 8
8.8%
0 7
7.7%
7 4
 
4.4%
9 3
 
3.3%
8 2
 
2.2%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
58.8%
Common 191
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 27
9.9%
충 26
 
9.5%
청 26
 
9.5%
남 26
 
9.5%
시 25
 
9.2%
동 22
 
8.1%
공 20
 
7.3%
주 20
 
7.3%
신 8
 
2.9%
관 7
 
2.6%
Other values (38) 66
24.2%
Common
ValueCountFrequency (%)
84
44.0%
- 16
 
8.4%
3 14
 
7.3%
5 14
 
7.3%
2 13
 
6.8%
6 13
 
6.8%
1 13
 
6.8%
4 8
 
4.2%
0 7
 
3.7%
7 4
 
2.1%
Other values (2) 5
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
58.8%
ASCII 191
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
44.0%
- 16
 
8.4%
3 14
 
7.3%
5 14
 
7.3%
2 13
 
6.8%
6 13
 
6.8%
1 13
 
6.8%
4 8
 
4.2%
0 7
 
3.7%
7 4
 
2.1%
Other values (2) 5
 
2.6%
Hangul
ValueCountFrequency (%)
도 27
9.9%
충 26
 
9.5%
청 26
 
9.5%
남 26
 
9.5%
시 25
 
9.2%
동 22
 
8.1%
공 20
 
7.3%
주 20
 
7.3%
신 8
 
2.9%
관 7
 
2.6%
Other values (38) 66
24.2%

운영시작시각
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
07:00
20 
09:00
4 
10:00
 
1
00:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row07:00
2nd row07:00
3rd row07:00
4th row07:00
5th row07:00

Common Values

ValueCountFrequency (%)
07:00 20
76.9%
09:00 4
 
15.4%
10:00 1
 
3.8%
00:00 1
 
3.8%

Length

2023-12-12T09:54:13.766746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:13.904723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07:00 20
76.9%
09:00 4
 
15.4%
10:00 1
 
3.8%
00:00 1
 
3.8%

운영종료시각
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
22:00
20 
18:00
5 
23:59
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row22:00
2nd row22:00
3rd row22:00
4th row22:00
5th row22:00

Common Values

ValueCountFrequency (%)
22:00 20
76.9%
18:00 5
 
19.2%
23:59 1
 
3.8%

Length

2023-12-12T09:54:14.037069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:14.154547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22:00 20
76.9%
18:00 5
 
19.2%
23:59 1
 
3.8%

휴무일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
연중무휴
21 
추석당일설날 및 그전일
3 
월요일
 
1
매주 월요일
 
1

Length

Max length12
Median length4
Mean length4.9615385
Min length3

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 21
80.8%
추석당일설날 및 그전일 3
 
11.5%
월요일 1
 
3.8%
매주 월요일 1
 
3.8%

Length

2023-12-12T09:54:14.306098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:14.461018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중무휴 21
63.6%
추석당일설날 3
 
9.1%
및 3
 
9.1%
그전일 3
 
9.1%
월요일 2
 
6.1%
매주 1
 
3.0%

요금구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
무료
21 
유료
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 21
80.8%
유료 5
 
19.2%

Length

2023-12-12T09:54:14.621425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:14.752766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 21
80.8%
유료 5
 
19.2%

자전거이용요금
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
무료
21 
일반용(장애인아동용포함):기본2시간 1000원 / 초과30분 500원 2인승 : 기본2시간 2000원 / 초과30분 500원
3 
1000원
 
1
기간별(회원제) : 1개월 2000원 6개월 7000원 1년 10000원 / 회원 : 무료대여시간(180분) 초과 시 30분당 500원 / 비회원 기본시간 180분 500원 초과 시 30분당 500원
 
1

Length

Max length111
Median length2
Mean length14.384615
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
무료 21
80.8%
일반용(장애인아동용포함):기본2시간 1000원 / 초과30분 500원 2인승 : 기본2시간 2000원 / 초과30분 500원 3
 
11.5%
1000원 1
 
3.8%
기간별(회원제) : 1개월 2000원 6개월 7000원 1년 10000원 / 회원 : 무료대여시간(180분) 초과 시 30분당 500원 / 비회원 기본시간 180분 500원 초과 시 30분당 500원 1
 
3.8%

Length

2023-12-12T09:54:14.902688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:15.038026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 21
25.3%
13
15.7%
500원 9
10.8%
초과30분 6
 
7.2%
1000원 4
 
4.8%
2000원 4
 
4.8%
2인승 3
 
3.6%
기본2시간 3
 
3.6%
일반용(장애인아동용포함):기본2시간 3
 
3.6%
30분당 2
 
2.4%
Other values (13) 15
18.1%

자전거보유대수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.615385
Minimum3
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T09:54:15.206390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median5
Q39.25
95-th percentile168
Maximum215
Range212
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation56.58203
Coefficient of variation (CV)1.9105621
Kurtosis6.4506057
Mean29.615385
Median Absolute Deviation (MAD)1
Skewness2.6301037
Sum770
Variance3201.5262
MonotonicityNot monotonic
2023-12-12T09:54:15.342638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 12
46.2%
4 5
19.2%
10 1
 
3.8%
7 1
 
3.8%
3 1
 
3.8%
47 1
 
3.8%
60 1
 
3.8%
81 1
 
3.8%
215 1
 
3.8%
70 1
 
3.8%
ValueCountFrequency (%)
3 1
 
3.8%
4 5
19.2%
5 12
46.2%
7 1
 
3.8%
10 1
 
3.8%
47 1
 
3.8%
60 1
 
3.8%
70 1
 
3.8%
81 1
 
3.8%
197 1
 
3.8%
ValueCountFrequency (%)
215 1
 
3.8%
197 1
 
3.8%
81 1
 
3.8%
70 1
 
3.8%
60 1
 
3.8%
47 1
 
3.8%
10 1
 
3.8%
7 1
 
3.8%
5 12
46.2%
4 5
19.2%

거치대수
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.346154
Minimum9
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T09:54:15.459035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10.25
Q113
median14
Q326
95-th percentile190
Maximum250
Range241
Interquartile range (IQR)13

Descriptive statistics

Standard deviation63.758257
Coefficient of variation (CV)1.5056446
Kurtosis5.0960237
Mean42.346154
Median Absolute Deviation (MAD)2
Skewness2.3971731
Sum1101
Variance4065.1154
MonotonicityNot monotonic
2023-12-12T09:54:15.608560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 8
30.8%
15 2
 
7.7%
13 2
 
7.7%
12 2
 
7.7%
11 2
 
7.7%
10 1
 
3.8%
28 1
 
3.8%
20 1
 
3.8%
9 1
 
3.8%
50 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
9 1
 
3.8%
10 1
 
3.8%
11 2
 
7.7%
12 2
 
7.7%
13 2
 
7.7%
14 8
30.8%
15 2
 
7.7%
20 1
 
3.8%
28 1
 
3.8%
50 1
 
3.8%
ValueCountFrequency (%)
250 1
 
3.8%
210 1
 
3.8%
130 1
 
3.8%
120 1
 
3.8%
60 1
 
3.8%
50 1
 
3.8%
28 1
 
3.8%
20 1
 
3.8%
15 2
 
7.7%
14 8
30.8%

공기주입기비치여부
Boolean

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
16 
False
10 
ValueCountFrequency (%)
True 16
61.5%
False 10
38.5%
2023-12-12T09:54:15.730834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수리대설치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size158.0 B
False
23 
True
3 
ValueCountFrequency (%)
False 23
88.5%
True 3
 
11.5%
2023-12-12T09:54:15.836478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
041-840-8507
20 
041-540-2960
4 
041-360-6543
 
1
041-950-4256
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row041-840-8507
2nd row041-840-8507
3rd row041-840-8507
4th row041-840-8507
5th row041-840-8507

Common Values

ValueCountFrequency (%)
041-840-8507 20
76.9%
041-540-2960 4
 
15.4%
041-360-6543 1
 
3.8%
041-950-4256 1
 
3.8%

Length

2023-12-12T09:54:15.981008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:16.120308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-840-8507 20
76.9%
041-540-2960 4
 
15.4%
041-360-6543 1
 
3.8%
041-950-4256 1
 
3.8%

관리기관명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
공주시청
20 
충청남도 아산시청
4 
충청남도 당진시청
 
1
충청남도 서천군청
 
1

Length

Max length9
Median length4
Mean length5.1538462
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
공주시청 20
76.9%
충청남도 아산시청 4
 
15.4%
충청남도 당진시청 1
 
3.8%
충청남도 서천군청 1
 
3.8%

Length

2023-12-12T09:54:16.251862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:54:16.361728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공주시청 20
62.5%
충청남도 6
 
18.8%
아산시청 4
 
12.5%
당진시청 1
 
3.1%
서천군청 1
 
3.1%

Interactions

2023-12-12T09:54:10.930236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:54:10.702409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:54:11.043495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:54:10.817488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:54:16.469305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자전거대여소명자전거대여소구분소재지지번주소운영시작시각운영종료시각휴무일요금구분자전거이용요금자전거보유대수거치대수공기주입기비치여부수리대설치여부관리기관전화번호관리기관명
자전거대여소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
자전거대여소구분1.0001.0001.0001.0001.0001.0000.8170.9750.9931.0000.3260.7750.9850.985
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영시작시각1.0001.0001.0001.0001.0000.9761.0000.9760.9591.0000.4470.9620.9790.979
운영종료시각1.0001.0001.0001.0001.0000.6370.6190.8580.7611.0000.2190.4630.6710.671
휴무일1.0001.0001.0000.9760.6371.0000.9750.9760.9641.0000.2921.0000.9980.998
요금구분1.0000.8171.0001.0000.6190.9751.0001.0000.9931.0000.0000.7751.0001.000
자전거이용요금1.0000.9751.0000.9760.8580.9761.0001.0000.9641.0000.3521.0000.9760.976
자전거보유대수1.0000.9931.0000.9590.7610.9640.9930.9641.0001.0000.0000.9840.9760.976
거치대수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0001.0001.0001.000
공기주입기비치여부1.0000.3261.0000.4470.2190.2920.0000.3520.0000.0001.0000.0000.0000.000
수리대설치여부1.0000.7751.0000.9620.4631.0000.7751.0000.9841.0000.0001.0000.9620.962
관리기관전화번호1.0000.9851.0000.9790.6710.9981.0000.9760.9761.0000.0000.9621.0001.000
관리기관명1.0000.9851.0000.9790.6710.9981.0000.9760.9761.0000.0000.9621.0001.000
2023-12-12T09:54:16.644810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명운영종료시각요금구분자전거이용요금운영시작시각휴무일자전거대여소구분공기주입기비치여부수리대설치여부관리기관전화번호
관리기관명1.0000.6840.9570.7880.8030.9440.8500.0000.7891.000
운영종료시각0.6841.0000.8670.9090.9780.6430.9790.3470.6980.684
요금구분0.9570.8671.0000.9570.9570.8190.6080.0000.5640.957
자전거이용요금0.7880.9090.9571.0000.7880.7890.8190.2150.9570.788
운영시작시각0.8030.9780.9570.7881.0000.7880.9570.2810.7890.803
휴무일0.9440.6430.8190.7890.7881.0000.9570.1730.9570.944
자전거대여소구분0.8500.9790.6080.8190.9570.9571.0000.2080.5640.850
공기주입기비치여부0.0000.3470.0000.2150.2810.1730.2081.0000.0000.000
수리대설치여부0.7890.6980.5640.9570.7890.9570.5640.0001.0000.789
관리기관전화번호1.0000.6840.9570.7880.8030.9440.8500.0000.7891.000
2023-12-12T09:54:16.822839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자전거보유대수거치대수자전거대여소구분운영시작시각운영종료시각휴무일요금구분자전거이용요금공기주입기비치여부수리대설치여부관리기관전화번호관리기관명
자전거보유대수1.0000.9600.8880.7260.7940.7410.8880.7410.0000.8490.7880.788
거치대수0.9601.0000.8900.9290.9090.9290.8900.9290.0000.8900.9290.929
자전거대여소구분0.8880.8901.0000.9570.9790.9570.6080.8190.2080.5640.8500.850
운영시작시각0.7260.9290.9571.0000.9780.7880.9570.7880.2810.7890.8030.803
운영종료시각0.7940.9090.9790.9781.0000.6430.8670.9090.3470.6980.6840.684
휴무일0.7410.9290.9570.7880.6431.0000.8190.7890.1730.9570.9440.944
요금구분0.8880.8900.6080.9570.8670.8191.0000.9570.0000.5640.9570.957
자전거이용요금0.7410.9290.8190.7880.9090.7890.9571.0000.2150.9570.7880.788
공기주입기비치여부0.0000.0000.2080.2810.3470.1730.0000.2151.0000.0000.0000.000
수리대설치여부0.8490.8900.5640.7890.6980.9570.5640.9570.0001.0000.7890.789
관리기관전화번호0.7880.9290.8500.8030.6840.9440.9570.7880.0000.7891.0001.000
관리기관명0.7880.9290.8500.8030.6840.9440.9570.7880.0000.7891.0001.000

Missing values

2023-12-12T09:54:11.551029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:54:11.854892image/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

자전거대여소명자전거대여소구분소재지지번주소운영시작시각운영종료시각휴무일요금구분자전거이용요금자전거보유대수거치대수공기주입기비치여부수리대설치여부관리기관전화번호관리기관명
0종합터미널무인대여소충청남도 공주시 신관동 63307:0022:00연중무휴무료무료515YN041-840-8507공주시청
1신월초등학교무인대여소충청남도 공주시 신관동 66107:0022:00연중무휴무료무료410NN041-840-8507공주시청
2신관초교차로무인대여소충청남도 공주시 신관동 540-1607:0022:00연중무휴무료무료514YN041-840-8507공주시청
3신관동주민센터무인대여소충청남도 공주시 신관동 585-407:0022:00연중무휴무료무료514YN041-840-8507공주시청
4검찰청무인대여소충청남도 공주시 신관동 671-107:0022:00연중무휴무료무료514YN041-840-8507공주시청
5금강신관공원 2무인대여소충청남도 공주시 신관동 55307:0022:00연중무휴무료무료1028YN041-840-8507공주시청
6전막교차로무인대여소충청남도 공주시 신관동 62007:0022:00연중무휴무료무료515NN041-840-8507공주시청
7월송흥화하브무인대여소충청남도 공주시 금흥동 264-207:0022:00연중무휴무료무료720NN041-840-8507공주시청
8월송동주민센터무인대여소충청남도 공주시 월송동 51307:0022:00연중무휴무료무료513NN041-840-8507공주시청
9중동공영주차장무인대여소충청남도 공주시 중동 6307:0022:00연중무휴무료무료412NN041-840-8507공주시청
자전거대여소명자전거대여소구분소재지지번주소운영시작시각운영종료시각휴무일요금구분자전거이용요금자전거보유대수거치대수공기주입기비치여부수리대설치여부관리기관전화번호관리기관명
16옥룡GS마켓무인대여소충청남도 공주시 옥룡동 422-107:0022:00연중무휴무료무료514YN041-840-8507공주시청
17무령왕릉무인대여소충청남도 공주시 웅진동 318-1 외07:0022:00연중무휴무료무료411YN041-840-8507공주시청
18공주시청무인대여소충청남도 공주시 봉황동 320-107:0022:00연중무휴무료무료412YN041-840-8507공주시청
19공산성무인대여소충청남도 공주시 금성동 66-2 외07:0022:00연중무휴무료무료514YN041-840-8507공주시청
20자전거 터미널유인대여소충청남도 당진시 신평면 운정리 16509:0018:00월요일유료1000원4750YN041-360-6543충청남도 당진시청
21금강하구둑 자전거대여소유인대여소충청남도 서천군 마서면 도삼리 5910:0018:00매주 월요일무료무료6060YN041-950-4256충청남도 서천군청
22U-BIKE무인대여소충청남도 아산시 배방읍 장재리 364-400:0023:59연중무휴유료기간별(회원제) : 1개월 2000원 6개월 7000원 1년 10000원 / 회원 : 무료대여시간(180분) 초과 시 30분당 500원 / 비회원 기본시간 180분 500원 초과 시 30분당 500원81130NN041-540-2960충청남도 아산시청
23은행나무길 대여소유인대여소충청남도 아산시 염치읍 백암리 502-309:0018:00추석당일설날 및 그전일유료일반용(장애인아동용포함):기본2시간 1000원 / 초과30분 500원 2인승 : 기본2시간 2000원 / 초과30분 500원215210YY041-540-2960충청남도 아산시청
24온양온천역 대여소유인대여소충청남도 아산시 온천동 56-209:0018:00추석당일설날 및 그전일유료일반용(장애인아동용포함):기본2시간 1000원 / 초과30분 500원 2인승 : 기본2시간 2000원 / 초과30분 500원70120YY041-540-2960충청남도 아산시청
25신정호국민관광지 대여소유인대여소충청남도 아산시 방축동509:0018:00추석당일설날 및 그전일유료일반용(장애인아동용포함):기본2시간 1000원 / 초과30분 500원 2인승 : 기본2시간 2000원 / 초과30분 500원197250YY041-540-2960충청남도 아산시청