Overview

Dataset statistics

Number of variables18
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory147.6 B

Variable types

Text2
Categorical13
Numeric2
DateTime1

Dataset

Description2022년 추석연휴 경상남도 거제시의 무료개방 공공주차장(무료개방여부, 주차장명, 주차장주소, 위치, 주차장 유형) 등에 대한 정보를 제공합니다
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15106544

Alerts

기관구분 has constant value ""Constant
시도명 has constant value ""Constant
기준일자 has constant value ""Constant
9월12일 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
9월9일 is highly overall correlated with 기관명 and 5 other fieldsHigh correlation
담당자명 is highly overall correlated with 위도 and 10 other fieldsHigh correlation
9월11일 is highly overall correlated with 기관명 and 5 other fieldsHigh correlation
참고사항 is highly overall correlated with 경도 and 9 other fieldsHigh correlation
담당자연락처 is highly overall correlated with 위도 and 10 other fieldsHigh correlation
기관명 is highly overall correlated with 위도 and 10 other fieldsHigh correlation
365일 상시 무료개방여부 is highly overall correlated with 기관명 and 4 other fieldsHigh correlation
9월10일 is highly overall correlated with 기관명 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 기관명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 기관명 and 4 other fieldsHigh correlation
위치 is highly overall correlated with 기관명 and 2 other fieldsHigh correlation
주차장유형 is highly overall correlated with 9월12일 and 1 other fieldsHigh correlation
위치 is highly imbalanced (90.7%)Imbalance
9월9일 is highly imbalanced (83.8%)Imbalance
9월10일 is highly imbalanced (83.8%)Imbalance
9월11일 is highly imbalanced (83.8%)Imbalance

Reproduction

Analysis started2023-12-11 00:15:23.855990
Analysis finished2023-12-11 00:15:26.157799
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

Distinct76
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T09:15:26.347013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.1666667
Min length3

Characters and Unicode

Total characters602
Distinct characters114
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)85.7%

Sample

1st row거제국민체육센터 주차장
2nd row거제면 공영주차장
3rd row거제면사무소
4th row거제면주민자치센터
5th row거제시 보건소
ValueCountFrequency (%)
주차장 10
 
8.3%
무인정산시스템 5
 
4.1%
구간 5
 
4.1%
공영주차장 4
 
3.3%
능포1(무료로 3
 
2.5%
변경 3
 
2.5%
주민센터 3
 
2.5%
거제시 2
 
1.7%
옥포사거리 2
 
1.7%
상문동 2
 
1.7%
Other values (78) 82
67.8%
2023-12-11T09:15:26.831943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
6.1%
장 36
 
6.0%
주 31
 
5.1%
포 27
 
4.5%
차 20
 
3.3%
고 20
 
3.3%
현 20
 
3.3%
옥 19
 
3.2%
1 17
 
2.8%
무 17
 
2.8%
Other values (104) 358
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
84.6%
Decimal Number 46
 
7.6%
Space Separator 37
 
6.1%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 36
 
7.1%
주 31
 
6.1%
포 27
 
5.3%
차 20
 
3.9%
고 20
 
3.9%
현 20
 
3.9%
옥 19
 
3.7%
무 17
 
3.3%
동 16
 
3.1%
시 14
 
2.8%
Other values (91) 289
56.8%
Decimal Number
ValueCountFrequency (%)
1 17
37.0%
2 6
 
13.0%
4 4
 
8.7%
3 4
 
8.7%
5 3
 
6.5%
8 3
 
6.5%
7 3
 
6.5%
6 2
 
4.3%
9 2
 
4.3%
0 2
 
4.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
84.6%
Common 93
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 36
 
7.1%
주 31
 
6.1%
포 27
 
5.3%
차 20
 
3.9%
고 20
 
3.9%
현 20
 
3.9%
옥 19
 
3.7%
무 17
 
3.3%
동 16
 
3.1%
시 14
 
2.8%
Other values (91) 289
56.8%
Common
ValueCountFrequency (%)
37
39.8%
1 17
18.3%
2 6
 
6.5%
) 5
 
5.4%
( 5
 
5.4%
4 4
 
4.3%
3 4
 
4.3%
5 3
 
3.2%
8 3
 
3.2%
7 3
 
3.2%
Other values (3) 6
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
84.6%
ASCII 93
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
39.8%
1 17
18.3%
2 6
 
6.5%
) 5
 
5.4%
( 5
 
5.4%
4 4
 
4.3%
3 4
 
4.3%
5 3
 
3.2%
8 3
 
3.2%
7 3
 
3.2%
Other values (3) 6
 
6.5%
Hangul
ValueCountFrequency (%)
장 36
 
7.1%
주 31
 
6.1%
포 27
 
5.3%
차 20
 
3.9%
고 20
 
3.9%
현 20
 
3.9%
옥 19
 
3.7%
무 17
 
3.3%
동 16
 
3.1%
시 14
 
2.8%
Other values (91) 289
56.8%

기관구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
지방자치단체
84 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방자치단체 84
100.0%

Length

2023-12-11T09:15:27.011853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:27.127750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방자치단체 84
100.0%

기관명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
경상남도 거제시 교통과
45 
경상남도 거제시 거제해양관광개발공사
9 
경상남도 거제시 일운면
 
3
경상남도 거제시 거제면사무소
 
3
경상남도 거제시 능포동
 
2
Other values (19)
22 

Length

Max length19
Median length12
Mean length13.083333
Min length12

Unique

Unique16 ?
Unique (%)19.0%

Sample

1st row경상남도 거제시 거제해양관광개발공사
2nd row경상남도 거제시 거제면사무소
3rd row경상남도 거제시 거제면사무소
4th row경상남도 거제시 거제면사무소
5th row경상남도 거제시 보건소

Common Values

ValueCountFrequency (%)
경상남도 거제시 교통과 45
53.6%
경상남도 거제시 거제해양관광개발공사 9
 
10.7%
경상남도 거제시 일운면 3
 
3.6%
경상남도 거제시 거제면사무소 3
 
3.6%
경상남도 거제시 능포동 2
 
2.4%
경상남도 거제시 생활경제과 2
 
2.4%
경상남도 거제시 둔덕면 2
 
2.4%
경상남도 거제시 상문동 2
 
2.4%
경상남도 거제시 옥포1동 1
 
1.2%
경상남도 거제시 회계과 1
 
1.2%
Other values (14) 14
 
16.7%

Length

2023-12-11T09:15:27.250853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 84
33.3%
거제시 84
33.3%
교통과 45
17.9%
거제해양관광개발공사 9
 
3.6%
일운면 3
 
1.2%
거제면사무소 3
 
1.2%
상문동 2
 
0.8%
둔덕면 2
 
0.8%
생활경제과 2
 
0.8%
능포동 2
 
0.8%
Other values (16) 16
 
6.3%

담당자명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
전승미
45 
김재윤
8 
장재성
 
3
공종숙
 
2
차경진
 
2
Other values (22)
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique20 ?
Unique (%)23.8%

Sample

1st row김재윤
2nd row김진영
3rd row천지효
4th row윤선일
5th row반준영

Common Values

ValueCountFrequency (%)
전승미 45
53.6%
김재윤 8
 
9.5%
장재성 3
 
3.6%
공종숙 2
 
2.4%
차경진 2
 
2.4%
윤정숙 2
 
2.4%
정연이 2
 
2.4%
김진영 1
 
1.2%
반준영 1
 
1.2%
김희율 1
 
1.2%
Other values (17) 17
 
20.2%

Length

2023-12-11T09:15:27.412321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전승미 45
53.6%
김재윤 8
 
9.5%
장재성 3
 
3.6%
공종숙 2
 
2.4%
차경진 2
 
2.4%
윤정숙 2
 
2.4%
정연이 2
 
2.4%
윤선일 1
 
1.2%
박미나 1
 
1.2%
성진영 1
 
1.2%
Other values (17) 17
 
20.2%

담당자연락처
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
055-639-4548
45 
055-639-8138
8 
055-639-6482
 
3
055-639-6606
 
2
055-639-6953
 
2
Other values (22)
24 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique20 ?
Unique (%)23.8%

Sample

1st row055-639-8138
2nd row055-639-6584
3rd row055-639-6562
4th row055-639-6565
5th row055-639-6113

Common Values

ValueCountFrequency (%)
055-639-4548 45
53.6%
055-639-8138 8
 
9.5%
055-639-6482 3
 
3.6%
055-639-6606 2
 
2.4%
055-639-6953 2
 
2.4%
055-639-4123 2
 
2.4%
055-639-6803 2
 
2.4%
055-639-6584 1
 
1.2%
055-639-6113 1
 
1.2%
055-639-6753 1
 
1.2%
Other values (17) 17
 
20.2%

Length

2023-12-11T09:15:27.550133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
055-639-4548 45
53.6%
055-639-8138 8
 
9.5%
055-639-6482 3
 
3.6%
055-639-6606 2
 
2.4%
055-639-6953 2
 
2.4%
055-639-4123 2
 
2.4%
055-639-6803 2
 
2.4%
055-639-6565 1
 
1.2%
055-639-6826 1
 
1.2%
055-639-6692 1
 
1.2%
Other values (17) 17
 
20.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
경상남도 거제시
84 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 거제시
2nd row경상남도 거제시
3rd row경상남도 거제시
4th row경상남도 거제시
5th row경상남도 거제시

Common Values

ValueCountFrequency (%)
경상남도 거제시 84
100.0%

Length

2023-12-11T09:15:27.677677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:27.796962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 84
50.0%
거제시 84
50.0%

주소
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T09:15:28.117314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length18.488095
Min length14

Characters and Unicode

Total characters1553
Distinct characters78
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

Unique82 ?
Unique (%)97.6%

Sample

1st row경상남도 거제시 거제면 거제남서로 3485-17
2nd row경상남도 거제시 거제면 동상리 529-6
3rd row경상남도 거제시 거제면 서상길 1
4th row경상남도 거제시 거제면 동상3길 26
5th row경상남도 거제시 수양로 506
ValueCountFrequency (%)
경상남도 84
24.3%
거제시 84
24.3%
고현천로 5
 
1.4%
거제면 4
 
1.2%
서문로 4
 
1.2%
장평로 4
 
1.2%
옥포대첩로 4
 
1.2%
능포로 3
 
0.9%
일운면 3
 
0.9%
옥포로 3
 
0.9%
Other values (122) 148
42.8%
2023-12-11T09:15:28.595939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
16.9%
제 103
 
6.6%
거 102
 
6.6%
상 88
 
5.7%
남 87
 
5.6%
경 84
 
5.4%
도 84
 
5.4%
시 84
 
5.4%
로 70
 
4.5%
1 62
 
4.0%
Other values (68) 527
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
63.7%
Decimal Number 269
 
17.3%
Space Separator 262
 
16.9%
Dash Punctuation 17
 
1.1%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 103
10.4%
거 102
10.3%
상 88
 
8.9%
남 87
 
8.8%
경 84
 
8.5%
도 84
 
8.5%
시 84
 
8.5%
로 70
 
7.1%
포 31
 
3.1%
길 23
 
2.3%
Other values (54) 233
23.6%
Decimal Number
ValueCountFrequency (%)
1 62
23.0%
6 33
12.3%
3 32
11.9%
2 30
11.2%
5 25
9.3%
4 24
 
8.9%
7 18
 
6.7%
9 17
 
6.3%
0 14
 
5.2%
8 14
 
5.2%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 989
63.7%
Common 564
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 103
10.4%
거 102
10.3%
상 88
 
8.9%
남 87
 
8.8%
경 84
 
8.5%
도 84
 
8.5%
시 84
 
8.5%
로 70
 
7.1%
포 31
 
3.1%
길 23
 
2.3%
Other values (54) 233
23.6%
Common
ValueCountFrequency (%)
262
46.5%
1 62
 
11.0%
6 33
 
5.9%
3 32
 
5.7%
2 30
 
5.3%
5 25
 
4.4%
4 24
 
4.3%
7 18
 
3.2%
9 17
 
3.0%
- 17
 
3.0%
Other values (4) 44
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
63.7%
ASCII 564
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
46.5%
1 62
 
11.0%
6 33
 
5.9%
3 32
 
5.7%
2 30
 
5.3%
5 25
 
4.4%
4 24
 
4.3%
7 18
 
3.2%
9 17
 
3.0%
- 17
 
3.0%
Other values (4) 44
 
7.8%
Hangul
ValueCountFrequency (%)
제 103
10.4%
거 102
10.3%
상 88
 
8.9%
남 87
 
8.8%
경 84
 
8.5%
도 84
 
8.5%
시 84
 
8.5%
로 70
 
7.1%
포 31
 
3.1%
길 23
 
2.3%
Other values (54) 233
23.6%

위치
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
지상
83 
청사 내
 
1

Length

Max length4
Median length2
Mean length2.0238095
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
지상 83
98.8%
청사 내 1
 
1.2%

Length

2023-12-11T09:15:28.771949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:28.889658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상 83
97.6%
청사 1
 
1.2%
내 1
 
1.2%

주차장유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
노상
61 
부설
18 
노외
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노상
2nd row노상
3rd row부설
4th row노상
5th row부설

Common Values

ValueCountFrequency (%)
노상 61
72.6%
부설 18
 
21.4%
노외 5
 
6.0%

Length

2023-12-11T09:15:29.000976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:29.096956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 61
72.6%
부설 18
 
21.4%
노외 5
 
6.0%

9월9일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
O
82 
X
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 82
97.6%
X 2
 
2.4%

Length

2023-12-11T09:15:29.219612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:29.325729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 82
97.6%
x 2
 
2.4%

9월10일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
O
82 
X
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 82
97.6%
X 2
 
2.4%

Length

2023-12-11T09:15:29.515256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:29.619392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 82
97.6%
x 2
 
2.4%

9월11일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
O
82 
X
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 82
97.6%
X 2
 
2.4%

Length

2023-12-11T09:15:29.742337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:29.864483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 82
97.6%
x 2
 
2.4%

9월12일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
X
45 
O
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 45
53.6%
O 39
46.4%

Length

2023-12-11T09:15:29.998101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:30.103806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 45
53.6%
o 39
46.4%

365일 상시 무료개방여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
N
45 
Y
37 
Y(18:00~익일09:00)
 
2

Length

Max length16
Median length1
Mean length1.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 45
53.6%
Y 37
44.0%
Y(18:00~익일09:00) 2
 
2.4%

Length

2023-12-11T09:15:30.252211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:30.395627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 45
53.6%
y 37
44.0%
y(18:00~익일09:00 2
 
2.4%

참고사항
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료
43 
24시간 무료개방
39 
<NA>
 
2

Length

Max length50
Median length50
Mean length29.869048
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료 43
51.2%
24시간 무료개방 39
46.4%
<NA> 2
 
2.4%

Length

2023-12-11T09:15:30.551610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:30.680725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료개방 43
10.1%
시 43
10.1%
주차요금 43
10.1%
징수 43
10.1%
시간>08:00~20:00 43
10.1%
유료20:00~익일 43
10.1%
08:00 43
10.1%
무료 43
10.1%
24시간 39
9.2%
무료개방 39
9.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.117789
Minimum34.73225
Maximum128.70342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T09:15:30.850968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.73225
5-th percentile34.838763
Q134.879203
median34.888309
Q334.891721
95-th percentile34.949972
Maximum128.70342
Range93.971167
Interquartile range (IQR)0.012518192

Descriptive statistics

Standard deviation14.389104
Coefficient of variation (CV)0.38766059
Kurtosis39.401215
Mean37.117789
Median Absolute Deviation (MAD)0.00509847
Skewness6.3610707
Sum3117.8943
Variance207.04631
MonotonicityNot monotonic
2023-12-11T09:15:31.017214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88552873 2
 
2.4%
34.8518556 1
 
1.2%
34.88645921 1
 
1.2%
34.87748638 1
 
1.2%
34.87558818 1
 
1.2%
34.88743379 1
 
1.2%
34.88792506 1
 
1.2%
34.88858619 1
 
1.2%
34.88803167 1
 
1.2%
34.88914288 1
 
1.2%
Other values (73) 73
86.9%
ValueCountFrequency (%)
34.73224984 1
1.2%
34.82160837 1
1.2%
34.83232377 1
1.2%
34.83386589 1
1.2%
34.8368124 1
1.2%
34.84981849 1
1.2%
34.8510014 1
1.2%
34.85109169 1
1.2%
34.8518556 1
1.2%
34.86348834 1
1.2%
ValueCountFrequency (%)
128.7034165 1
1.2%
128.7021121 1
1.2%
34.98659231 1
1.2%
34.95855219 1
1.2%
34.955452 1
1.2%
34.91891598 1
1.2%
34.91459362 1
1.2%
34.91266563 1
1.2%
34.90141875 1
1.2%
34.89664033 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64804
Minimum128.50388
Maximum128.73663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T09:15:31.208282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50388
5-th percentile128.59047
Q1128.62112
median128.62811
Q3128.69371
95-th percentile128.73103
Maximum128.73663
Range0.2327502
Interquartile range (IQR)0.072594025

Descriptive statistics

Standard deviation0.049131991
Coefficient of variation (CV)0.00038191014
Kurtosis0.49172662
Mean128.64804
Median Absolute Deviation (MAD)0.0236089
Skewness-0.3493605
Sum10806.435
Variance0.0024139525
MonotonicityNot monotonic
2023-12-11T09:15:31.371138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6269466 2
 
2.4%
128.5815338 1
 
1.2%
128.6277274 1
 
1.2%
128.7326806 1
 
1.2%
128.7317114 1
 
1.2%
128.6218054 1
 
1.2%
128.6215366 1
 
1.2%
128.62152 1
 
1.2%
128.6214965 1
 
1.2%
128.6252262 1
 
1.2%
Other values (73) 73
86.9%
ValueCountFrequency (%)
128.5038785 1
1.2%
128.5049076 1
1.2%
128.5222554 1
1.2%
128.5815338 1
1.2%
128.5904175 1
1.2%
128.5907599 1
1.2%
128.5960591 1
1.2%
128.6042338 1
1.2%
128.6081181 1
1.2%
128.6094016 1
1.2%
ValueCountFrequency (%)
128.7366287 1
1.2%
128.7345692 1
1.2%
128.733024 1
1.2%
128.7326806 1
1.2%
128.7317114 1
1.2%
128.7271781 1
1.2%
128.7159542 1
1.2%
128.7034165 1
1.2%
128.7021121 1
1.2%
128.6962024 1
1.2%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2022-09-06 00:00:00
Maximum2022-09-06 00:00:00
2023-12-11T09:15:31.496201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:31.595755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:15:25.614318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:25.222870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:25.690307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:25.526517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:15:31.710512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명기관명담당자명담당자연락처주소위치주차장유형9월9일9월10일9월11일9월12일365일 상시 무료개방여부참고사항위도경도
주차장명1.0001.0001.0001.0000.9971.0001.0001.0001.0001.0001.0001.0001.0001.0000.991
기관명1.0001.0001.0001.0001.0001.0000.6551.0001.0001.0000.9700.9970.9180.8660.931
담당자명1.0001.0001.0001.0001.0001.0000.7011.0001.0001.0000.9440.9980.9820.7960.890
담당자연락처1.0001.0001.0001.0001.0001.0000.7011.0001.0001.0000.9440.9980.9820.7960.890
주소0.9971.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0000.0870.0000.0000.0000.0000.0000.0000.0000.000
주차장유형1.0000.6550.7010.7011.0000.0871.0000.0000.0000.0000.3200.6890.3180.0000.000
9월9일1.0001.0001.0001.0001.0000.0000.0001.0000.9180.9180.0000.000NaN0.0000.192
9월10일1.0001.0001.0001.0001.0000.0000.0000.9181.0000.9180.0000.000NaN0.0000.192
9월11일1.0001.0001.0001.0001.0000.0000.0000.9180.9181.0000.0000.000NaN0.0000.192
9월12일1.0000.9700.9440.9441.0000.0000.3200.0000.0000.0001.0001.0000.9990.0000.747
365일 상시 무료개방여부1.0000.9970.9980.9981.0000.0000.6890.0000.0000.0001.0001.0001.0000.0520.544
참고사항1.0000.9180.9820.9821.0000.0000.318NaNNaNNaN0.9991.0001.0000.0000.778
위도1.0000.8660.7960.7961.0000.0000.0000.0000.0000.0000.0000.0520.0001.0000.000
경도0.9910.9310.8900.8901.0000.0000.0000.1920.1920.1920.7470.5440.7780.0001.000
2023-12-11T09:15:31.912723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
9월12일위치9월9일담당자명9월11일참고사항담당자연락처기관명주차장유형365일 상시 무료개방여부9월10일
9월12일1.0000.0000.0000.7480.0000.9750.7480.7440.5110.9940.000
위치0.0001.0000.0000.8340.0000.0000.8340.8550.1430.0000.000
9월9일0.0000.0001.0000.8340.7401.0000.8340.8550.0000.0000.740
담당자명0.7480.8340.8341.0000.8340.7491.0000.9750.3620.7960.834
9월11일0.0000.0000.7400.8341.0001.0000.8340.8550.0000.0000.740
참고사항0.9750.0001.0000.7491.0001.0000.7490.7450.5080.9941.000
담당자연락처0.7480.8340.8341.0000.8340.7491.0000.9750.3620.7960.834
기관명0.7440.8550.8550.9750.8550.7450.9751.0000.3330.8050.855
주차장유형0.5110.1430.0000.3620.0000.5080.3620.3331.0000.3460.000
365일 상시 무료개방여부0.9940.0000.0000.7960.0000.9940.7960.8050.3461.0000.000
9월10일0.0000.0000.7400.8340.7401.0000.8340.8550.0000.0001.000
2023-12-11T09:15:32.092797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도기관명담당자명담당자연락처위치주차장유형9월9일9월10일9월11일9월12일365일 상시 무료개방여부참고사항
위도1.0000.2560.6210.5910.5910.0000.0000.0000.0000.0000.0000.0830.000
경도0.2561.0000.5680.5410.5410.0000.0000.1400.1400.1400.5610.4030.585
기관명0.6210.5681.0000.9750.9750.8550.3330.8550.8550.8550.7440.8050.745
담당자명0.5910.5410.9751.0001.0000.8340.3620.8340.8340.8340.7480.7960.749
담당자연락처0.5910.5410.9751.0001.0000.8340.3620.8340.8340.8340.7480.7960.749
위치0.0000.0000.8550.8340.8341.0000.1430.0000.0000.0000.0000.0000.000
주차장유형0.0000.0000.3330.3620.3620.1431.0000.0000.0000.0000.5110.3460.508
9월9일0.0000.1400.8550.8340.8340.0000.0001.0000.7400.7400.0000.0001.000
9월10일0.0000.1400.8550.8340.8340.0000.0000.7401.0000.7400.0000.0001.000
9월11일0.0000.1400.8550.8340.8340.0000.0000.7400.7401.0000.0000.0001.000
9월12일0.0000.5610.7440.7480.7480.0000.5110.0000.0000.0001.0000.9940.975
365일 상시 무료개방여부0.0830.4030.8050.7960.7960.0000.3460.0000.0000.0000.9941.0000.994
참고사항0.0000.5850.7450.7490.7490.0000.5081.0001.0001.0000.9750.9941.000

Missing values

2023-12-11T09:15:25.825271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:15:26.065307image/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

주차장명기관구분기관명담당자명담당자연락처시도명주소위치주차장유형9월9일9월10일9월11일9월12일365일 상시 무료개방여부참고사항위도경도기준일자
0거제국민체육센터 주차장지방자치단체경상남도 거제시 거제해양관광개발공사김재윤055-639-8138경상남도 거제시경상남도 거제시 거제면 거제남서로 3485-17지상노상OOOOY24시간 무료개방34.851856128.5815342022-09-06
1거제면 공영주차장지방자치단체경상남도 거제시 거제면사무소김진영055-639-6584경상남도 거제시경상남도 거제시 거제면 동상리 529-6지상노상OOOOY24시간 무료개방34.849818128.590762022-09-06
2거제면사무소지방자치단체경상남도 거제시 거제면사무소천지효055-639-6562경상남도 거제시경상남도 거제시 거제면 서상길 1지상부설OOOOY24시간 무료개방34.851001128.5904182022-09-06
3거제면주민자치센터지방자치단체경상남도 거제시 거제면사무소윤선일055-639-6565경상남도 거제시경상남도 거제시 거제면 동상3길 26지상노상OOOOY24시간 무료개방34.851092128.5960592022-09-06
4거제시 보건소지방자치단체경상남도 거제시 보건소반준영055-639-6113경상남도 거제시경상남도 거제시 수양로 506지상부설OOOOY24시간 무료개방34.891688128.636562022-09-06
5거제시 장승포동주민센터지방자치단체경상남도 거제시 장승포동김희율055-639-6753경상남도 거제시경상남도 거제시 장승로 146-25지상부설OOOOY24시간 무료개방34.867336128.7271782022-09-06
6거제시종합운동장 주차장지방자치단체경상남도 거제시 거제해양관광개발공사김재윤055-639-8138경상남도 거제시경상남도 거제시 계룡로 11길 26지상노상OOOOY24시간 무료개방34.882934128.6184472022-09-06
7거제시청사부설주차장지방자치단체경상남도 거제시 회계과석영철055-639-3515경상남도 거제시경상남도 거제시 계룡로 125청사 내부설OOOOY24시간 무료개방34.880766128.6214492022-09-06
8거제시체육관 주차장지방자치단체경상남도 거제시 거제해양관광개발공사김재윤055-639-8138경상남도 거제시경상남도 거제시 계룡로 11길 35지상노상OOOOY24시간 무료개방34.882734128.6163062022-09-06
9고현동 주민센터지방자치단체경상남도 거제시 고현동안진원055-639-6922경상남도 거제시경상남도 거제시 거제중앙로13길 24지상부설OOOOY24시간 무료개방34.882556128.6231422022-09-06
주차장명기관구분기관명담당자명담당자연락처시도명주소위치주차장유형9월9일9월10일9월11일9월12일365일 상시 무료개방여부참고사항위도경도기준일자
74옥포8지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 옥포성안로72지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.892841128.6950032022-09-06
75옥포9지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 옥포로6길 11-1지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.890615128.6949442022-09-06
76옥포국제시장 공영주차장지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 옥포대첩로43(옥포동)지상노외OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.89409128.6921462022-09-06
77옥포매립지지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 옥포로6길30(옥포동 1915-1)지상노외OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.89192128.6957852022-09-06
78장평1지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평1로 134지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.891822128.6042342022-09-06
79장평2지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평로 69-1지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.890997128.6095612022-09-06
80장평3지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평로55지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.890993128.6113242022-09-06
81장평4지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평로 49지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.890912128.6119172022-09-06
82장평5지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평로 16-15지상노상OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.892082128.6166792022-09-06
83장평우체국지방자치단체경상남도 거제시 교통과전승미055-639-4548경상남도 거제시경상남도 거제시 장평로 53(장평동 37-7)지상노외OOOXN<유료개방 시 주차요금 징수 시간>08:00~20:00 유료20:00~익일 08:00 무료34.891368128.6109372022-09-06