Overview

Dataset statistics

Number of variables32
Number of observations53
Missing cells199
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory258.5 B

Variable types

Text10
Categorical21
DateTime1

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15012/S/1/datasetView.do

Alerts

Unnamed: 31 has constant value ""Constant
주차장구분 is highly imbalanced (86.5%)Imbalance
부제시행구분 is highly imbalanced (83.0%)Imbalance
토요일운영시작시각 is highly imbalanced (79.8%)Imbalance
토요일운영종료시각 is highly imbalanced (83.0%)Imbalance
공휴일운영시작시각 is highly imbalanced (76.9%)Imbalance
공휴일운영종료시각 is highly imbalanced (79.8%)Imbalance
요금정보 is highly imbalanced (83.0%)Imbalance
주차기본시간 is highly imbalanced (83.0%)Imbalance
결제방법 is highly imbalanced (83.0%)Imbalance
관리기관명 is highly imbalanced (83.0%)Imbalance
데이터기준일자 is highly imbalanced (83.0%)Imbalance
월정기권요금 has 51 (96.2%) missing valuesMissing
특기사항 has 45 (84.9%) missing valuesMissing
전화번호 has 51 (96.2%) missing valuesMissing
Unnamed: 31 has 52 (98.1%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 05:52:02.142483
Analysis finished2023-12-11 05:52:03.183954
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:03.436462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.811321
Min length2

Characters and Unicode

Total characters626
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st rowid
2nd row122-1-000001
3rd row122-1-000002
4th row122-1-000003
5th row122-1-000004
ValueCountFrequency (%)
id 1
 
1.9%
122-2-000005 1
 
1.9%
122-2-000007 1
 
1.9%
122-2-000008 1
 
1.9%
122-2-000009 1
 
1.9%
122-2-000010 1
 
1.9%
122-2-000011 1
 
1.9%
122-2-000012 1
 
1.9%
122-2-000013 1
 
1.9%
122-2-000014 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T14:52:03.931094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 232
37.1%
2 151
24.1%
- 104
16.6%
1 101
16.1%
3 7
 
1.1%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
Other values (3) 6
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
83.1%
Dash Punctuation 104
 
16.6%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 232
44.6%
2 151
29.0%
1 101
19.4%
3 7
 
1.3%
4 5
 
1.0%
5 5
 
1.0%
6 5
 
1.0%
7 5
 
1.0%
8 5
 
1.0%
9 4
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
d 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
99.7%
Latin 2
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 232
37.2%
2 151
24.2%
- 104
16.7%
1 101
16.2%
3 7
 
1.1%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
Latin
ValueCountFrequency (%)
i 1
50.0%
d 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 232
37.1%
2 151
24.1%
- 104
16.6%
1 101
16.1%
3 7
 
1.1%
4 5
 
0.8%
5 5
 
0.8%
6 5
 
0.8%
7 5
 
0.8%
8 5
 
0.8%
Other values (3) 6
 
1.0%

주차장명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:04.260493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.2830189
Min length2

Characters and Unicode

Total characters333
Distinct characters88
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

Unique53 ?
Unique (%)100.0%

Sample

1st rownm
2nd row강남대로150길
3rd row논현로131길
4th row테헤란로69길
5th row봉은사로68길
ValueCountFrequency (%)
부설 2
 
3.6%
nm 1
 
1.8%
포이초교 1
 
1.8%
삼성1동문화센터 1
 
1.8%
압구정428 1
 
1.8%
역삼문화공원 1
 
1.8%
언북초교 1
 
1.8%
논현로32길15 1
 
1.8%
대치2동문화센터 1
 
1.8%
논현초교 1
 
1.8%
Other values (44) 44
80.0%
2023-12-11T14:52:04.746799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 26
 
7.8%
길 23
 
6.9%
2 17
 
5.1%
1 16
 
4.8%
대 11
 
3.3%
동 10
 
3.0%
3 9
 
2.7%
초 8
 
2.4%
4 8
 
2.4%
교 8
 
2.4%
Other values (78) 197
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
73.9%
Decimal Number 82
 
24.6%
Space Separator 2
 
0.6%
Lowercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
원 6
 
2.4%
구 6
 
2.4%
도 6
 
2.4%
현 5
 
2.0%
Other values (64) 137
55.7%
Decimal Number
ValueCountFrequency (%)
2 17
20.7%
1 16
19.5%
3 9
11.0%
4 8
9.8%
7 7
8.5%
5 7
8.5%
6 7
8.5%
8 4
 
4.9%
9 4
 
4.9%
0 3
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
73.9%
Common 85
 
25.5%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
원 6
 
2.4%
구 6
 
2.4%
도 6
 
2.4%
현 5
 
2.0%
Other values (64) 137
55.7%
Common
ValueCountFrequency (%)
2 17
20.0%
1 16
18.8%
3 9
10.6%
4 8
9.4%
7 7
8.2%
5 7
8.2%
6 7
8.2%
8 4
 
4.7%
9 4
 
4.7%
0 3
 
3.5%
Other values (2) 3
 
3.5%
Latin
ValueCountFrequency (%)
n 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
73.9%
ASCII 87
 
26.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 26
 
10.6%
길 23
 
9.3%
대 11
 
4.5%
동 10
 
4.1%
초 8
 
3.3%
교 8
 
3.3%
원 6
 
2.4%
구 6
 
2.4%
도 6
 
2.4%
현 5
 
2.0%
Other values (64) 137
55.7%
ASCII
ValueCountFrequency (%)
2 17
19.5%
1 16
18.4%
3 9
10.3%
4 8
9.2%
7 7
8.0%
5 7
8.0%
6 7
8.0%
8 4
 
4.6%
9 4
 
4.6%
0 3
 
3.4%
Other values (4) 5
 
5.7%

주차장구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
공영
52 
type
 
1

Length

Max length4
Median length2
Mean length2.0377358
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowtype
2nd row공영
3rd row공영
4th row공영
5th row공영

Common Values

ValueCountFrequency (%)
공영 52
98.1%
type 1
 
1.9%

Length

2023-12-11T14:52:04.951554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:05.091072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 52
98.1%
type 1
 
1.9%

주차장유형
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
노외
28 
노상
22 
부설
 
2
kind
 
1

Length

Max length4
Median length2
Mean length2.0377358
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
노외 28
52.8%
노상 22
41.5%
부설 2
 
3.8%
kind 1
 
1.9%

Length

2023-12-11T14:52:05.230533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:05.383839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 28
52.8%
노상 22
41.5%
부설 2
 
3.8%
kind 1
 
1.9%

소재지도로명주소
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:05.680502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.301887
Min length4

Characters and Unicode

Total characters970
Distinct characters60
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

Unique51 ?
Unique (%)96.2%

Sample

1st rowaddr
2nd row서울특별시 강남구 도산대로 108
3rd row서울특별시 강남구 학동로171
4th row서울특별시 강남구 테헤란로 69길
5th row서울특별시 강남구 봉은사로 68길
ValueCountFrequency (%)
서울특별시 52
25.0%
강남구 52
25.0%
도곡로 4
 
1.9%
양재대로 4
 
1.9%
테헤란로 4
 
1.9%
삼성로 3
 
1.4%
논현로 3
 
1.4%
선릉로 3
 
1.4%
도산대로 2
 
1.0%
478 2
 
1.0%
Other values (74) 79
38.0%
2023-12-11T14:52:06.245151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
16.1%
남 55
 
5.7%
구 55
 
5.7%
강 53
 
5.5%
서 52
 
5.4%
특 52
 
5.4%
별 52
 
5.4%
시 52
 
5.4%
울 52
 
5.4%
로 52
 
5.4%
Other values (50) 339
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
64.5%
Decimal Number 182
 
18.8%
Space Separator 156
 
16.1%
Lowercase Letter 4
 
0.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 28
 
4.5%
Other values (35) 123
19.6%
Decimal Number
ValueCountFrequency (%)
1 35
19.2%
2 32
17.6%
3 22
12.1%
4 16
8.8%
7 16
8.8%
8 14
 
7.7%
5 14
 
7.7%
6 14
 
7.7%
0 13
 
7.1%
9 6
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
d 2
50.0%
a 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
64.5%
Common 340
35.1%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 28
 
4.5%
Other values (35) 123
19.6%
Common
ValueCountFrequency (%)
156
45.9%
1 35
 
10.3%
2 32
 
9.4%
3 22
 
6.5%
4 16
 
4.7%
7 16
 
4.7%
8 14
 
4.1%
5 14
 
4.1%
6 14
 
4.1%
0 13
 
3.8%
Other values (2) 8
 
2.4%
Latin
ValueCountFrequency (%)
d 2
50.0%
a 1
25.0%
r 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
64.5%
ASCII 344
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
45.3%
1 35
 
10.2%
2 32
 
9.3%
3 22
 
6.4%
4 16
 
4.7%
7 16
 
4.7%
8 14
 
4.1%
5 14
 
4.1%
6 14
 
4.1%
0 13
 
3.8%
Other values (5) 12
 
3.5%
Hangul
ValueCountFrequency (%)
남 55
8.8%
구 55
8.8%
강 53
8.5%
서 52
8.3%
특 52
8.3%
별 52
8.3%
시 52
8.3%
울 52
8.3%
로 52
8.3%
길 28
 
4.5%
Other values (35) 123
19.6%

소재지지번주소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:06.546310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.113208
Min length8

Characters and Unicode

Total characters960
Distinct characters50
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st rowaddr_old
2nd row서울특별시 강남구 논현동 1
3rd row서울특별시 강남구 논현동 58
4th row서울특별시 강남구 삼성동 142
5th row서울특별시 강남구 삼성동 123
ValueCountFrequency (%)
강남구 52
25.0%
서울특별시 52
25.0%
삼성동 9
 
4.3%
대치동 7
 
3.4%
개포동 6
 
2.9%
역삼동 5
 
2.4%
논현동 4
 
1.9%
신사동 4
 
1.9%
일원동 4
 
1.9%
청담동 3
 
1.4%
Other values (59) 62
29.8%
2023-12-11T14:52:07.028340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
16.1%
구 54
 
5.6%
특 52
 
5.4%
시 52
 
5.4%
남 52
 
5.4%
강 52
 
5.4%
서 52
 
5.4%
울 52
 
5.4%
동 52
 
5.4%
별 52
 
5.4%
Other values (40) 335
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
59.9%
Decimal Number 195
 
20.3%
Space Separator 155
 
16.1%
Dash Punctuation 26
 
2.7%
Lowercase Letter 7
 
0.7%
Math Symbol 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 54
9.4%
특 52
9.0%
시 52
9.0%
남 52
9.0%
강 52
9.0%
서 52
9.0%
울 52
9.0%
동 52
9.0%
별 52
9.0%
삼 14
 
2.4%
Other values (21) 91
15.8%
Decimal Number
ValueCountFrequency (%)
1 38
19.5%
2 36
18.5%
6 27
13.8%
4 18
9.2%
5 16
8.2%
3 15
 
7.7%
7 13
 
6.7%
8 11
 
5.6%
9 11
 
5.6%
0 10
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
d 3
42.9%
a 1
 
14.3%
l 1
 
14.3%
o 1
 
14.3%
r 1
 
14.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
59.9%
Common 378
39.4%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 54
9.4%
특 52
9.0%
시 52
9.0%
남 52
9.0%
강 52
9.0%
서 52
9.0%
울 52
9.0%
동 52
9.0%
별 52
9.0%
삼 14
 
2.4%
Other values (21) 91
15.8%
Common
ValueCountFrequency (%)
155
41.0%
1 38
 
10.1%
2 36
 
9.5%
6 27
 
7.1%
- 26
 
6.9%
4 18
 
4.8%
5 16
 
4.2%
3 15
 
4.0%
7 13
 
3.4%
8 11
 
2.9%
Other values (4) 23
 
6.1%
Latin
ValueCountFrequency (%)
d 3
42.9%
a 1
 
14.3%
l 1
 
14.3%
o 1
 
14.3%
r 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 575
59.9%
ASCII 385
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
40.3%
1 38
 
9.9%
2 36
 
9.4%
6 27
 
7.0%
- 26
 
6.8%
4 18
 
4.7%
5 16
 
4.2%
3 15
 
3.9%
7 13
 
3.4%
8 11
 
2.9%
Other values (9) 30
 
7.8%
Hangul
ValueCountFrequency (%)
구 54
9.4%
특 52
9.0%
시 52
9.0%
남 52
9.0%
강 52
9.0%
서 52
9.0%
울 52
9.0%
동 52
9.0%
별 52
9.0%
삼 14
 
2.4%
Other values (21) 91
15.8%

위도
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:07.351290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.566038
Min length1

Characters and Unicode

Total characters560
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st rowycode
2nd row37.51619888
3rd row37.51404767
4th row37.50657289
5th row37.510305
ValueCountFrequency (%)
37.49769748 2
 
3.8%
37.47713411 2
 
3.8%
37.4923005 1
 
1.9%
37.48960227 1
 
1.9%
37.51773993 1
 
1.9%
37.46462041 1
 
1.9%
ycode 1
 
1.9%
37.5103131 1
 
1.9%
3 1
 
1.9%
37.52684028 1
 
1.9%
Other values (41) 41
77.4%
2023-12-11T14:52:07.776226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 90
16.1%
3 87
15.5%
4 62
11.1%
. 51
9.1%
1 51
9.1%
5 50
8.9%
9 43
7.7%
8 35
 
6.2%
0 32
 
5.7%
2 32
 
5.7%
Other values (6) 27
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 504
90.0%
Other Punctuation 51
 
9.1%
Lowercase Letter 5
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 90
17.9%
3 87
17.3%
4 62
12.3%
1 51
10.1%
5 50
9.9%
9 43
8.5%
8 35
 
6.9%
0 32
 
6.3%
2 32
 
6.3%
6 22
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
y 1
20.0%
c 1
20.0%
o 1
20.0%
d 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 555
99.1%
Latin 5
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
7 90
16.2%
3 87
15.7%
4 62
11.2%
. 51
9.2%
1 51
9.2%
5 50
9.0%
9 43
7.7%
8 35
 
6.3%
0 32
 
5.8%
2 32
 
5.8%
Latin
ValueCountFrequency (%)
y 1
20.0%
c 1
20.0%
o 1
20.0%
d 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 90
16.1%
3 87
15.5%
4 62
11.1%
. 51
9.1%
1 51
9.1%
5 50
8.9%
9 43
7.7%
8 35
 
6.2%
0 32
 
5.7%
2 32
 
5.7%
Other values (6) 27
 
4.8%

경도
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:08.073256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.773585
Min length5

Characters and Unicode

Total characters571
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st rowxcode
2nd row127.02066
3rd row127.0295515
4th row127.0509018
5th row127.050762
ValueCountFrequency (%)
127.0564617 2
 
3.8%
127.0677264 2
 
3.8%
127.0811331 1
 
1.9%
127.0818177 1
 
1.9%
127.0468496 1
 
1.9%
127.1055908 1
 
1.9%
xcode 1
 
1.9%
127.0463797 1
 
1.9%
37.51435272 1
 
1.9%
127.0270556 1
 
1.9%
Other values (41) 41
77.4%
2023-12-11T14:52:08.526778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 86
15.1%
1 81
14.2%
2 76
13.3%
0 68
11.9%
. 52
9.1%
6 48
8.4%
3 35
6.1%
5 34
 
6.0%
4 34
 
6.0%
8 27
 
4.7%
Other values (6) 30
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
90.0%
Other Punctuation 52
 
9.1%
Lowercase Letter 5
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 86
16.7%
1 81
15.8%
2 76
14.8%
0 68
13.2%
6 48
9.3%
3 35
6.8%
5 34
 
6.6%
4 34
 
6.6%
8 27
 
5.3%
9 25
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
x 1
20.0%
c 1
20.0%
o 1
20.0%
d 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 566
99.1%
Latin 5
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
7 86
15.2%
1 81
14.3%
2 76
13.4%
0 68
12.0%
. 52
9.2%
6 48
8.5%
3 35
6.2%
5 34
 
6.0%
4 34
 
6.0%
8 27
 
4.8%
Latin
ValueCountFrequency (%)
x 1
20.0%
c 1
20.0%
o 1
20.0%
d 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 86
15.1%
1 81
14.2%
2 76
13.3%
0 68
11.9%
. 52
9.1%
6 48
8.4%
3 35
6.1%
5 34
 
6.0%
4 34
 
6.0%
8 27
 
4.7%
Other values (6) 30
 
5.3%

주차구획수
Text

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T14:52:08.824412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length2.6603774
Min length1

Characters and Unicode

Total characters141
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)77.4%

Sample

1st rowline_num
2nd row9
3rd row23
4th row28
5th row76
ValueCountFrequency (%)
29 2
 
3.8%
12 2
 
3.8%
27 2
 
3.8%
100 2
 
3.8%
59 2
 
3.8%
194 2
 
3.8%
94 1
 
1.9%
360 1
 
1.9%
line_num 1
 
1.9%
124 1
 
1.9%
Other values (37) 37
69.8%
2023-12-11T14:52:09.253081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 25
17.7%
2 21
14.9%
9 18
12.8%
0 12
8.5%
6 11
7.8%
4 10
 
7.1%
7 10
 
7.1%
3 9
 
6.4%
8 8
 
5.7%
5 8
 
5.7%
Other values (8) 9
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
93.6%
Lowercase Letter 7
 
5.0%
Connector Punctuation 1
 
0.7%
Other Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
18.9%
2 21
15.9%
9 18
13.6%
0 12
9.1%
6 11
8.3%
4 10
 
7.6%
7 10
 
7.6%
3 9
 
6.8%
8 8
 
6.1%
5 8
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
28.6%
l 1
14.3%
i 1
14.3%
e 1
14.3%
u 1
14.3%
m 1
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
95.0%
Latin 7
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 25
18.7%
2 21
15.7%
9 18
13.4%
0 12
9.0%
6 11
8.2%
4 10
 
7.5%
7 10
 
7.5%
3 9
 
6.7%
8 8
 
6.0%
5 8
 
6.0%
Other values (2) 2
 
1.5%
Latin
ValueCountFrequency (%)
n 2
28.6%
l 1
14.3%
i 1
14.3%
e 1
14.3%
u 1
14.3%
m 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 25
17.7%
2 21
14.9%
9 18
12.8%
0 12
8.5%
6 11
7.8%
4 10
 
7.1%
7 10
 
7.1%
3 9
 
6.4%
8 8
 
5.7%
5 8
 
5.7%
Other values (8) 9
 
6.4%

급지구분
Categorical

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
19 
2
16 
3
9 
4
7 
gub_ji_gubun
 
1

Length

Max length12
Median length1
Mean length1.2264151
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowgub_ji_gubun
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 19
35.8%
2 16
30.2%
3 9
17.0%
4 7
 
13.2%
gub_ji_gubun 1
 
1.9%
67 1
 
1.9%

Length

2023-12-11T14:52:09.422880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:09.535696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
35.8%
2 16
30.2%
3 9
17.0%
4 7
 
13.2%
gub_ji_gubun 1
 
1.9%
67 1
 
1.9%

부제시행구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
요일제
51 
buje_siheng
 
1
1
 
1

Length

Max length11
Median length3
Mean length3.1132075
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowbuje_siheng
2nd row요일제
3rd row요일제
4th row요일제
5th row요일제

Common Values

ValueCountFrequency (%)
요일제 51
96.2%
buje_siheng 1
 
1.9%
1 1
 
1.9%

Length

2023-12-11T14:52:09.684810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:09.811495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일제 51
96.2%
buje_siheng 1
 
1.9%
1 1
 
1.9%

운영요일
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
평일
30 
평일+토요일+공휴일
21 
open_date
 
1
요일제
 
1

Length

Max length10
Median length2
Mean length5.3207547
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowopen_date
2nd row평일
3rd row평일
4th row평일
5th row평일

Common Values

ValueCountFrequency (%)
평일 30
56.6%
평일+토요일+공휴일 21
39.6%
open_date 1
 
1.9%
요일제 1
 
1.9%

Length

2023-12-11T14:52:09.948700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:10.095685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 30
56.6%
평일+토요일+공휴일 21
39.6%
open_date 1
 
1.9%
요일제 1
 
1.9%

평일운영시작시각
Categorical

Distinct7
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
9:00
28 
0:00
17 
10:00
4 
start_tm
 
1
11:00
 
1
Other values (2)
 
2

Length

Max length10
Median length4
Mean length4.2830189
Min length4

Unique

Unique4 ?
Unique (%)7.5%

Sample

1st rowstart_tm
2nd row10:00
3rd row9:00
4th row9:00
5th row9:00

Common Values

ValueCountFrequency (%)
9:00 28
52.8%
0:00 17
32.1%
10:00 4
 
7.5%
start_tm 1
 
1.9%
11:00 1
 
1.9%
평일+토요일+공휴일 1
 
1.9%
6:00 1
 
1.9%

Length

2023-12-11T14:52:10.242007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:10.405658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 28
52.8%
0:00 17
32.1%
10:00 4
 
7.5%
start_tm 1
 
1.9%
11:00 1
 
1.9%
평일+토요일+공휴일 1
 
1.9%
6:00 1
 
1.9%

평일운영종료시각
Categorical

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
19:00
25 
0:00
17 
20:00
4 
21:00
 
2
18:00
 
2
Other values (3)
3 

Length

Max length6
Median length5
Mean length4.6792453
Min length4

Unique

Unique3 ?
Unique (%)5.7%

Sample

1st rowend_tm
2nd row20:00
3rd row19:00
4th row19:00
5th row19:00

Common Values

ValueCountFrequency (%)
19:00 25
47.2%
0:00 17
32.1%
20:00 4
 
7.5%
21:00 2
 
3.8%
18:00 2
 
3.8%
end_tm 1
 
1.9%
7:00 1
 
1.9%
23:00 1
 
1.9%

Length

2023-12-11T14:52:10.572947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:10.706366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00 25
47.2%
0:00 17
32.1%
20:00 4
 
7.5%
21:00 2
 
3.8%
18:00 2
 
3.8%
end_tm 1
 
1.9%
7:00 1
 
1.9%
23:00 1
 
1.9%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
50 
sat_start_tm
 
1
22:00
 
1
9:00
 
1

Length

Max length12
Median length4
Mean length4.1698113
Min length4

Unique

Unique3 ?
Unique (%)5.7%

Sample

1st rowsat_start_tm
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 50
94.3%
sat_start_tm 1
 
1.9%
22:00 1
 
1.9%
9:00 1
 
1.9%

Length

2023-12-11T14:52:10.870977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:10.988995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 50
94.3%
sat_start_tm 1
 
1.9%
22:00 1
 
1.9%
9:00 1
 
1.9%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
51 
sat_end_tm
 
1
21:00
 
1

Length

Max length10
Median length4
Mean length4.1320755
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowsat_end_tm
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 51
96.2%
sat_end_tm 1
 
1.9%
21:00 1
 
1.9%

Length

2023-12-11T14:52:11.127570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:11.233275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 51
96.2%
sat_end_tm 1
 
1.9%
21:00 1
 
1.9%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
49 
holiday_start_tm
 
1
1:00
 
1
2:00
 
1
9:00
 
1

Length

Max length16
Median length4
Mean length4.2264151
Min length4

Unique

Unique4 ?
Unique (%)7.5%

Sample

1st rowholiday_start_tm
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 49
92.5%
holiday_start_tm 1
 
1.9%
1:00 1
 
1.9%
2:00 1
 
1.9%
9:00 1
 
1.9%

Length

2023-12-11T14:52:11.336431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:11.475109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 49
92.5%
holiday_start_tm 1
 
1.9%
1:00 1
 
1.9%
2:00 1
 
1.9%
9:00 1
 
1.9%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
0:00
50 
holiday_end_tm
 
1
3:00
 
1
21:00
 
1

Length

Max length14
Median length4
Mean length4.2075472
Min length4

Unique

Unique3 ?
Unique (%)5.7%

Sample

1st rowholiday_end_tm
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 50
94.3%
holiday_end_tm 1
 
1.9%
3:00 1
 
1.9%
21:00 1
 
1.9%

Length

2023-12-11T14:52:11.617551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:11.757199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 50
94.3%
holiday_end_tm 1
 
1.9%
3:00 1
 
1.9%
21:00 1
 
1.9%

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
유료
51 
money_info
 
1
0:00
 
1

Length

Max length10
Median length2
Mean length2.1886792
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowmoney_info
2nd row유료
3rd row유료
4th row유료
5th row유료

Common Values

ValueCountFrequency (%)
유료 51
96.2%
money_info 1
 
1.9%
0:00 1
 
1.9%

Length

2023-12-11T14:52:11.900762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:12.037276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 51
96.2%
money_info 1
 
1.9%
0:00 1
 
1.9%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
5
51 
time
 
1
유료
 
1

Length

Max length4
Median length1
Mean length1.0754717
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowtime
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 51
96.2%
time 1
 
1.9%
유료 1
 
1.9%

Length

2023-12-11T14:52:12.178696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:12.308641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 51
96.2%
time 1
 
1.9%
유료 1
 
1.9%

주차기본요금
Categorical

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
400
19 
300
16 
200
9 
100
7 
basic_money
 
1

Length

Max length11
Median length3
Mean length3.1132075
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowbasic_money
2nd row400
3rd row400
4th row400
5th row400

Common Values

ValueCountFrequency (%)
400 19
35.8%
300 16
30.2%
200 9
17.0%
100 7
 
13.2%
basic_money 1
 
1.9%
5 1
 
1.9%

Length

2023-12-11T14:52:12.430398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:12.563321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 19
35.8%
300 16
30.2%
200 9
17.0%
100 7
 
13.2%
basic_money 1
 
1.9%
5 1
 
1.9%

추가단위시간
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
30 
5
21 
add_time
 
1
400
 
1

Length

Max length8
Median length4
Mean length2.8679245
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowadd_time
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 30
56.6%
5 21
39.6%
add_time 1
 
1.9%
400 1
 
1.9%

Length

2023-12-11T14:52:12.750126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:12.913002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
56.6%
5 21
39.6%
add_time 1
 
1.9%
400 1
 
1.9%

추가단위요금
Categorical

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
31 
800
12 
600
7 
400
 
2
add_money
 
1

Length

Max length9
Median length4
Mean length3.6981132
Min length3

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowadd_money
2nd row800
3rd row800
4th row800
5th row800

Common Values

ValueCountFrequency (%)
<NA> 31
58.5%
800 12
 
22.6%
600 7
 
13.2%
400 2
 
3.8%
add_money 1
 
1.9%

Length

2023-12-11T14:52:13.034049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:13.170857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
58.5%
800 12
 
22.6%
600 7
 
13.2%
400 2
 
3.8%
add_money 1
 
1.9%

1일주차권요금적용시간
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
10
42 
<NA>
10 
oneday_time
 
1

Length

Max length11
Median length2
Mean length2.5471698
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowoneday_time
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 42
79.2%
<NA> 10
 
18.9%
oneday_time 1
 
1.9%

Length

2023-12-11T14:52:13.294347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:13.401667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 42
79.2%
na 10
 
18.9%
oneday_time 1
 
1.9%

1일주차권요금
Categorical

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
30000
19 
<NA>
9 
24000
7 
25000
7 
18000
7 
Other values (3)
4 

Length

Max length12
Median length5
Mean length4.9056604
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowoneday_money
2nd row30000
3rd row30000
4th row30000
5th row30000

Common Values

ValueCountFrequency (%)
30000 19
35.8%
<NA> 9
17.0%
24000 7
 
13.2%
25000 7
 
13.2%
18000 7
 
13.2%
16000 2
 
3.8%
oneday_money 1
 
1.9%
10 1
 
1.9%

Length

2023-12-11T14:52:13.533240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:13.701130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30000 19
35.8%
na 9
17.0%
24000 7
 
13.2%
25000 7
 
13.2%
18000 7
 
13.2%
16000 2
 
3.8%
oneday_money 1
 
1.9%
10 1
 
1.9%

월정기권요금
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing51
Missing (%)96.2%
Memory size556.0 B
2023-12-11T14:52:13.886082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8
Min length5

Characters and Unicode

Total characters16
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowmonth_money
2nd row30000
ValueCountFrequency (%)
month_money 1
50.0%
30000 1
50.0%
2023-12-11T14:52:14.213078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
25.0%
m 2
12.5%
o 2
12.5%
n 2
12.5%
t 1
 
6.2%
h 1
 
6.2%
_ 1
 
6.2%
e 1
 
6.2%
y 1
 
6.2%
3 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10
62.5%
Decimal Number 5
31.2%
Connector Punctuation 1
 
6.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 2
20.0%
o 2
20.0%
n 2
20.0%
t 1
10.0%
h 1
10.0%
e 1
10.0%
y 1
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
80.0%
3 1
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10
62.5%
Common 6
37.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 2
20.0%
o 2
20.0%
n 2
20.0%
t 1
10.0%
h 1
10.0%
e 1
10.0%
y 1
10.0%
Common
ValueCountFrequency (%)
0 4
66.7%
_ 1
 
16.7%
3 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
25.0%
m 2
12.5%
o 2
12.5%
n 2
12.5%
t 1
 
6.2%
h 1
 
6.2%
_ 1
 
6.2%
e 1
 
6.2%
y 1
 
6.2%
3 1
 
6.2%

결제방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
카드/현금/무통장/지로
51 
pay_info
 
1
<NA>
 
1

Length

Max length12
Median length12
Mean length11.773585
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowpay_info
2nd row카드/현금/무통장/지로
3rd row카드/현금/무통장/지로
4th row카드/현금/무통장/지로
5th row카드/현금/무통장/지로

Common Values

ValueCountFrequency (%)
카드/현금/무통장/지로 51
96.2%
pay_info 1
 
1.9%
<NA> 1
 
1.9%

Length

2023-12-11T14:52:14.361835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:14.525677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드/현금/무통장/지로 51
96.2%
pay_info 1
 
1.9%
na 1
 
1.9%

특기사항
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing45
Missing (%)84.9%
Memory size556.0 B
2023-12-11T14:52:15.045015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length23.375
Min length7

Characters and Unicode

Total characters187
Distinct characters37
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

Unique8 ?
Unique (%)100.0%

Sample

1st rowcomment
2nd row카드/현금/무통장/지로
3rd row월정기 거주자요금 할인/탄천 환승월정기 40000원
4th row월정기 거주자요금 할인/탄천 환승월정기 40001원
5th row월정기 거주자요금 할인/탄천 환승월정기 40002원
ValueCountFrequency (%)
월정기 6
18.8%
거주자요금 6
18.8%
할인/탄천 6
18.8%
환승월정기 6
18.8%
comment 1
 
3.1%
카드/현금/무통장/지로 1
 
3.1%
40000원 1
 
3.1%
40001원 1
 
3.1%
40002원 1
 
3.1%
40003원 1
 
3.1%
Other values (2) 2
 
6.2%
2023-12-11T14:52:15.434628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
12.8%
0 19
 
10.2%
기 12
 
6.4%
정 12
 
6.4%
월 12
 
6.4%
/ 9
 
4.8%
4 7
 
3.7%
금 7
 
3.7%
탄 6
 
3.2%
주 6
 
3.2%
Other values (27) 73
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
62.6%
Decimal Number 30
 
16.0%
Space Separator 24
 
12.8%
Other Punctuation 9
 
4.8%
Lowercase Letter 7
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 12
 
10.3%
정 12
 
10.3%
월 12
 
10.3%
금 7
 
6.0%
탄 6
 
5.1%
주 6
 
5.1%
거 6
 
5.1%
할 6
 
5.1%
인 6
 
5.1%
승 6
 
5.1%
Other values (13) 38
32.5%
Decimal Number
ValueCountFrequency (%)
0 19
63.3%
4 7
 
23.3%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
m 2
28.6%
c 1
14.3%
o 1
14.3%
t 1
14.3%
n 1
14.3%
e 1
14.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
62.6%
Common 63
33.7%
Latin 7
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 12
 
10.3%
정 12
 
10.3%
월 12
 
10.3%
금 7
 
6.0%
탄 6
 
5.1%
주 6
 
5.1%
거 6
 
5.1%
할 6
 
5.1%
인 6
 
5.1%
승 6
 
5.1%
Other values (13) 38
32.5%
Common
ValueCountFrequency (%)
24
38.1%
0 19
30.2%
/ 9
 
14.3%
4 7
 
11.1%
1 1
 
1.6%
2 1
 
1.6%
3 1
 
1.6%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
m 2
28.6%
c 1
14.3%
o 1
14.3%
t 1
14.3%
n 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
62.6%
ASCII 70
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
34.3%
0 19
27.1%
/ 9
 
12.9%
4 7
 
10.0%
m 2
 
2.9%
1 1
 
1.4%
2 1
 
1.4%
3 1
 
1.4%
c 1
 
1.4%
o 1
 
1.4%
Other values (4) 4
 
5.7%
Hangul
ValueCountFrequency (%)
기 12
 
10.3%
정 12
 
10.3%
월 12
 
10.3%
금 7
 
6.0%
탄 6
 
5.1%
주 6
 
5.1%
거 6
 
5.1%
할 6
 
5.1%
인 6
 
5.1%
승 6
 
5.1%
Other values (13) 38
32.5%

관리기관명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
강남구도시관리공단
51 
manage_nm
 
1
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9056604
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowmanage_nm
2nd row강남구도시관리공단
3rd row강남구도시관리공단
4th row강남구도시관리공단
5th row강남구도시관리공단

Common Values

ValueCountFrequency (%)
강남구도시관리공단 51
96.2%
manage_nm 1
 
1.9%
<NA> 1
 
1.9%

Length

2023-12-11T14:52:15.620488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:15.779708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 51
96.2%
manage_nm 1
 
1.9%
na 1
 
1.9%

전화번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing51
Missing (%)96.2%
Memory size556.0 B
2023-12-11T14:52:15.957827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6
Min length3

Characters and Unicode

Total characters12
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowtel
2nd row강남구도시관리공단
ValueCountFrequency (%)
tel 1
50.0%
강남구도시관리공단 1
50.0%
2023-12-11T14:52:16.338305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1
8.3%
e 1
8.3%
l 1
8.3%
강 1
8.3%
남 1
8.3%
구 1
8.3%
도 1
8.3%
시 1
8.3%
관 1
8.3%
리 1
8.3%
Other values (2) 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
75.0%
Lowercase Letter 3
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 1
11.1%
남 1
11.1%
구 1
11.1%
도 1
11.1%
시 1
11.1%
관 1
11.1%
리 1
11.1%
공 1
11.1%
단 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
l 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
75.0%
Latin 3
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 1
11.1%
남 1
11.1%
구 1
11.1%
도 1
11.1%
시 1
11.1%
관 1
11.1%
리 1
11.1%
공 1
11.1%
단 1
11.1%
Latin
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
l 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
75.0%
ASCII 3
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
l 1
33.3%
Hangul
ValueCountFrequency (%)
강 1
11.1%
남 1
11.1%
구 1
11.1%
도 1
11.1%
시 1
11.1%
관 1
11.1%
리 1
11.1%
공 1
11.1%
단 1
11.1%

데이터기준일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
2018-04-30
51 
data_date
 
1
<NA>
 
1

Length

Max length10
Median length10
Mean length9.8679245
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st rowdata_date
2nd row2018-04-30
3rd row2018-04-30
4th row2018-04-30
5th row2018-04-30

Common Values

ValueCountFrequency (%)
2018-04-30 51
96.2%
data_date 1
 
1.9%
<NA> 1
 
1.9%

Length

2023-12-11T14:52:16.491437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:52:16.603779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-04-30 51
96.2%
data_date 1
 
1.9%
na 1
 
1.9%

Unnamed: 31
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing52
Missing (%)98.1%
Memory size556.0 B
Minimum2018-04-30 00:00:00
Maximum2018-04-30 00:00:00
2023-12-11T14:52:16.709436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:52:16.842087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소위도경도주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호데이터기준일자Unnamed: 31
0idnmtypekindaddraddr_oldycodexcodeline_numgub_ji_gubunbuje_sihengopen_datestart_tmend_tmsat_start_tmsat_end_tmholiday_start_tmholiday_end_tmmoney_infotimebasic_moneyadd_timeadd_moneyoneday_timeoneday_moneymonth_moneypay_infocommentmanage_nmteldata_date<NA>
1122-1-000001강남대로150길공영노상서울특별시 강남구 도산대로 108서울특별시 강남구 논현동 137.51619888127.0206691요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
2122-1-000002논현로131길공영노상서울특별시 강남구 학동로171서울특별시 강남구 논현동 5837.51404767127.0295515231요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
3122-1-000003테헤란로69길공영노상서울특별시 강남구 테헤란로 69길서울특별시 강남구 삼성동 14237.50657289127.0509018281요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
4122-1-000004봉은사로68길공영노상서울특별시 강남구 봉은사로 68길서울특별시 강남구 삼성동 12337.510305127.050762761요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
5122-1-000005언주로147길공영노상서울특별시 강남구 언주로 147길 18서울특별시 강남구 논현동 63-1637.51982009127.0327644131요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
6122-1-000006도산대로45길공영노상서울특별시 강남구 도산대로 323서울특별시 강남구 신사동 65137.52289811127.0370166461요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
7122-1-000007언주로171길공영노상서울특별시 강남구 언주로 857서울특별시 강남구 신사동 62137.52702053127.0329826291요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
8122-1-000008선릉로146길공영노상서울특별시 강남구 선릉로 742서울특별시 강남구 청담동 23-337.52138854127.0437396331요일제평일10:0020:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
9122-1-000009선릉로132길공영노상서울특별시 강남구 학동로 405서울특별시 강남구 청담동 4237.51791181127.0435012171요일제평일9:0019:000:000:000:000:00유료540058001030000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소위도경도주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호데이터기준일자Unnamed: 31
43122-2-000021언주초교공영노외서울특별시 강남구 남부순환로363길19서울특별시 강남구 도곡동 92237.48632228127.03679351913요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5200<NA><NA>1018000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
44122-2-000022개포로24길33공영노외서울특별시 강남구 개포로24길 33서울특별시 강남구 개포동 120437.4771978127.0497835363요일제평일9:0019:000:000:000:000:00유료5200<NA><NA>1018000<NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
45122-2-000023탄천제2호공영노외서울특별시 강남구 양재대로 55길28서울특별시 강남구 일원동 4-4737.4931475127.08776663094요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40000원강남구도시관리공단<NA>2018-04-30<NA>
46122-2-000024탄천주차장공영노외서울특별시 강남구 봉은사로114길13서울특별시 강남구 삼성동 17137.51411358127.06649069874요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40001원강남구도시관리공단<NA>2018-04-30<NA>
47122-2-000025대청역공영노외서울특별시 강남구 개포로623-1서울특별시 강남구 개포동 13-237.49491593127.07931841694요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40002원강남구도시관리공단<NA>2018-04-30<NA>
48122-2-000026일원1동공영노외서울특별시 강남구 양재대로 27길 5서울특별시 강남구 일원동 684-837.48960227127.0818177644요일제평일+토요일+공휴일6:0023:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40003원강남구도시관리공단<NA>2018-04-30<NA>
49122-2-000027영희초교공영노외서울특별시 강남구 일원로21서울특별시 강남구 일원동 61737.4923005127.08113311874요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40004원강남구도시관리공단<NA>2018-04-30<NA>
50122-2-000028대왕초교공영노외서울특별시 강남구 헌릉로 618길 8서울특별시 강남구 세곡동 122-237.46462041127.10559081004요일제평일+토요일+공휴일0:000:000:000:000:000:00유료5100<NA><NA><NA><NA><NA>카드/현금/무통장/지로월정기 거주자요금 할인/탄천 환승월정기 40005원강남구도시관리공단<NA>2018-04-30<NA>
51122-3-000001구청 부설공영부설서울특별시 강남구 학동로426서울특별시 강남구 삼성동 16-1437.51773993127.04684962012요일제평일9:0018:000:000:000:000:00유료5300<NA><NA><NA><NA><NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>
52122-3-000002삼성로별관 부설공영부설서울특별시 강남구 삼성로628서울특별시 강남구 삼성동 6637.51590782127.052141452요일제평일9:0018:000:000:000:000:00유료5300<NA><NA><NA><NA><NA>카드/현금/무통장/지로<NA>강남구도시관리공단<NA>2018-04-30<NA>