Overview

Dataset statistics

Number of variables10
Number of observations142
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory81.9 B

Variable types

Text2
Numeric1
Categorical7

Dataset

Description코레일네트웍스 운영 주차장 역사 주차장의 위치, 요금, 주차면 수, 주중, 주말, 휴일 운영 시간 등 운영 현황 자료 제공
Author코레일네트웍스(주)
URLhttps://www.data.go.kr/data/15092740/fileData.do

Alerts

주말영업시간 is highly overall correlated with 평일영업시간 and 1 other fieldsHigh correlation
휴일영업시간 is highly overall correlated with 평일영업시간 and 1 other fieldsHigh correlation
평일영업시간 is highly overall correlated with 주말영업시간 and 1 other fieldsHigh correlation
기본주차료 is highly overall correlated with 추가주차료 and 1 other fieldsHigh correlation
추가주차료 is highly overall correlated with 기본주차료 and 1 other fieldsHigh correlation
일최대주차료 is highly overall correlated with 기본주차료 and 1 other fieldsHigh correlation
평일영업시간 is highly imbalanced (64.1%)Imbalance
주말영업시간 is highly imbalanced (64.1%)Imbalance
휴일영업시간 is highly imbalanced (64.1%)Imbalance
주차장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:35:54.233443
Analysis finished2023-12-12 05:35:55.326987
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T14:35:55.508106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.1197183
Min length2

Characters and Unicode

Total characters585
Distinct characters139
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)100.0%

Sample

1st rowDMC역
2nd row가능역A
3rd row가능역B
4th row가능역C
5th row강릉역
ValueCountFrequency (%)
대전역 5
 
3.1%
선상 3
 
1.9%
천안아산역 3
 
1.9%
부산역 2
 
1.2%
2 2
 
1.2%
백마역 2
 
1.2%
익산역 2
 
1.2%
천안역 2
 
1.2%
창원역 2
 
1.2%
서울역 2
 
1.2%
Other values (137) 137
84.6%
2023-12-12T14:35:55.898289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 137
23.4%
20
 
3.4%
주 19
 
3.2%
산 19
 
3.2%
천 17
 
2.9%
광 13
 
2.2%
2 13
 
2.2%
대 11
 
1.9%
동 10
 
1.7%
정 10
 
1.7%
Other values (129) 316
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
88.5%
Uppercase Letter 24
 
4.1%
Decimal Number 23
 
3.9%
Space Separator 20
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 137
26.4%
주 19
 
3.7%
산 19
 
3.7%
천 17
 
3.3%
광 13
 
2.5%
대 11
 
2.1%
동 10
 
1.9%
정 10
 
1.9%
원 9
 
1.7%
서 9
 
1.7%
Other values (117) 264
51.0%
Uppercase Letter
ValueCountFrequency (%)
A 10
41.7%
B 6
25.0%
C 3
 
12.5%
D 1
 
4.2%
M 1
 
4.2%
X 1
 
4.2%
T 1
 
4.2%
K 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 13
56.5%
1 8
34.8%
3 2
 
8.7%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
88.5%
Common 43
 
7.4%
Latin 24
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 137
26.4%
주 19
 
3.7%
산 19
 
3.7%
천 17
 
3.3%
광 13
 
2.5%
대 11
 
2.1%
동 10
 
1.9%
정 10
 
1.9%
원 9
 
1.7%
서 9
 
1.7%
Other values (117) 264
51.0%
Latin
ValueCountFrequency (%)
A 10
41.7%
B 6
25.0%
C 3
 
12.5%
D 1
 
4.2%
M 1
 
4.2%
X 1
 
4.2%
T 1
 
4.2%
K 1
 
4.2%
Common
ValueCountFrequency (%)
20
46.5%
2 13
30.2%
1 8
 
18.6%
3 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
88.5%
ASCII 67
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 137
26.4%
주 19
 
3.7%
산 19
 
3.7%
천 17
 
3.3%
광 13
 
2.5%
대 11
 
2.1%
동 10
 
1.9%
정 10
 
1.9%
원 9
 
1.7%
서 9
 
1.7%
Other values (117) 264
51.0%
ASCII
ValueCountFrequency (%)
20
29.9%
2 13
19.4%
A 10
14.9%
1 8
 
11.9%
B 6
 
9.0%
C 3
 
4.5%
3 2
 
3.0%
D 1
 
1.5%
M 1
 
1.5%
X 1
 
1.5%
Other values (2) 2
 
3.0%

주소
Text

Distinct122
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T14:35:56.153068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length18.464789
Min length13

Characters and Unicode

Total characters2622
Distinct characters170
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

Unique106 ?
Unique (%)74.6%

Sample

1st row서울특별시 은평구 수색로 193
2nd row경기도 의정부시 평화로 633
3rd row경기도 의정부시 평화로 633
4th row경기도 의정부시 평화로 633
5th row강원도 강릉시 용지로 176
ValueCountFrequency (%)
경기도 56
 
8.9%
강원도 14
 
2.2%
충청남도 9
 
1.4%
광주광역시 8
 
1.3%
서울특별시 8
 
1.3%
동구 8
 
1.3%
고양시 8
 
1.3%
평화로 8
 
1.3%
경상북도 7
 
1.1%
대전광역시 7
 
1.1%
Other values (318) 494
78.8%
2023-12-12T14:35:56.536003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
521
 
19.9%
시 138
 
5.3%
로 123
 
4.7%
도 110
 
4.2%
1 93
 
3.5%
경 86
 
3.3%
구 64
 
2.4%
3 59
 
2.3%
기 59
 
2.3%
5 49
 
1.9%
Other values (160) 1320
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1657
63.2%
Space Separator 521
 
19.9%
Decimal Number 430
 
16.4%
Dash Punctuation 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 138
 
8.3%
로 123
 
7.4%
도 110
 
6.6%
경 86
 
5.2%
구 64
 
3.9%
기 59
 
3.6%
광 46
 
2.8%
산 45
 
2.7%
주 44
 
2.7%
역 42
 
2.5%
Other values (148) 900
54.3%
Decimal Number
ValueCountFrequency (%)
1 93
21.6%
3 59
13.7%
5 49
11.4%
2 49
11.4%
0 38
8.8%
6 33
 
7.7%
8 32
 
7.4%
7 29
 
6.7%
9 25
 
5.8%
4 23
 
5.3%
Space Separator
ValueCountFrequency (%)
521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1657
63.2%
Common 965
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 138
 
8.3%
로 123
 
7.4%
도 110
 
6.6%
경 86
 
5.2%
구 64
 
3.9%
기 59
 
3.6%
광 46
 
2.8%
산 45
 
2.7%
주 44
 
2.7%
역 42
 
2.5%
Other values (148) 900
54.3%
Common
ValueCountFrequency (%)
521
54.0%
1 93
 
9.6%
3 59
 
6.1%
5 49
 
5.1%
2 49
 
5.1%
0 38
 
3.9%
6 33
 
3.4%
8 32
 
3.3%
7 29
 
3.0%
9 25
 
2.6%
Other values (2) 37
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1657
63.2%
ASCII 965
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
521
54.0%
1 93
 
9.6%
3 59
 
6.1%
5 49
 
5.1%
2 49
 
5.1%
0 38
 
3.9%
6 33
 
3.4%
8 32
 
3.3%
7 29
 
3.0%
9 25
 
2.6%
Other values (2) 37
 
3.8%
Hangul
ValueCountFrequency (%)
시 138
 
8.3%
로 123
 
7.4%
도 110
 
6.6%
경 86
 
5.2%
구 64
 
3.9%
기 59
 
3.6%
광 46
 
2.8%
산 45
 
2.7%
주 44
 
2.7%
역 42
 
2.5%
Other values (148) 900
54.3%

주차면수
Real number (ℝ)

Distinct101
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.4507
Minimum8
Maximum1040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T14:35:56.744967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile31.05
Q158.25
median85.5
Q3139.5
95-th percentile356.35
Maximum1040
Range1032
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation129.30154
Coefficient of variation (CV)1.0473941
Kurtosis19.849035
Mean123.4507
Median Absolute Deviation (MAD)33.5
Skewness3.7878154
Sum17530
Variance16718.888
MonotonicityNot monotonic
2023-12-12T14:35:56.911339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 4
 
2.8%
64 3
 
2.1%
85 3
 
2.1%
105 3
 
2.1%
35 3
 
2.1%
76 3
 
2.1%
88 3
 
2.1%
59 3
 
2.1%
102 3
 
2.1%
39 3
 
2.1%
Other values (91) 111
78.2%
ValueCountFrequency (%)
8 1
0.7%
18 1
0.7%
22 1
0.7%
27 2
1.4%
29 1
0.7%
30 1
0.7%
31 1
0.7%
32 1
0.7%
33 2
1.4%
34 1
0.7%
ValueCountFrequency (%)
1040 1
0.7%
620 1
0.7%
578 1
0.7%
526 1
0.7%
425 1
0.7%
403 1
0.7%
372 1
0.7%
357 1
0.7%
344 1
0.7%
329 1
0.7%

평일영업시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
00:00~23:59
113 
07:30~22:30
12 
07:00~17:00
 
3
13:00~22:00
 
2
09:00~18:00
 
2
Other values (8)
 
10

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)4.2%

Sample

1st row00:00~23:59
2nd row00:00~23:59
3rd row00:00~23:59
4th row00:00~23:59
5th row00:00~23:59

Common Values

ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

Length

2023-12-12T14:35:57.069199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

주말영업시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
00:00~23:59
113 
07:30~22:30
12 
07:00~17:00
 
3
13:00~22:00
 
2
09:00~18:00
 
2
Other values (8)
 
10

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)4.2%

Sample

1st row00:00~23:59
2nd row00:00~23:59
3rd row00:00~23:59
4th row00:00~23:59
5th row00:00~23:59

Common Values

ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

Length

2023-12-12T14:35:57.214779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

휴일영업시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
00:00~23:59
113 
07:30~22:30
12 
07:00~17:00
 
3
13:00~22:00
 
2
09:00~18:00
 
2
Other values (8)
 
10

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)4.2%

Sample

1st row00:00~23:59
2nd row00:00~23:59
3rd row00:00~23:59
4th row00:00~23:59
5th row00:00~23:59

Common Values

ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

Length

2023-12-12T14:35:57.351306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00~23:59 113
79.6%
07:30~22:30 12
 
8.5%
07:00~17:00 3
 
2.1%
13:00~22:00 2
 
1.4%
09:00~18:00 2
 
1.4%
08:00~17:00 2
 
1.4%
11:30~20:30 2
 
1.4%
13:00~23:00 1
 
0.7%
10:00~19:00 1
 
0.7%
06:30~21:30 1
 
0.7%
Other values (3) 3
 
2.1%

기본주차료
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1000
39 
600
31 
500
30 
800
17 
정기권전용
11 
Other values (6)
14 

Length

Max length5
Median length3
Mean length3.4929577
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row1000
2nd row800
3rd row800
4th row정기권전용
5th row500

Common Values

ValueCountFrequency (%)
1000 39
27.5%
600 31
21.8%
500 30
21.1%
800 17
12.0%
정기권전용 11
 
7.7%
1500 4
 
2.8%
400 3
 
2.1%
1200 2
 
1.4%
2000 2
 
1.4%
700 2
 
1.4%

Length

2023-12-12T14:35:57.483567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1000 39
27.5%
600 31
21.8%
500 30
21.1%
800 17
12.0%
정기권전용 11
 
7.7%
1500 4
 
2.8%
400 3
 
2.1%
1200 2
 
1.4%
2000 2
 
1.4%
700 2
 
1.4%

추가주차료
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
200
55 
300
51 
500
13 
정기권전용
11 
400
9 
Other values (2)
 
3

Length

Max length5
Median length3
Mean length3.1549296
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row500
2nd row300
3rd row300
4th row정기권전용
5th row300

Common Values

ValueCountFrequency (%)
200 55
38.7%
300 51
35.9%
500 13
 
9.2%
정기권전용 11
 
7.7%
400 9
 
6.3%
100 2
 
1.4%
600 1
 
0.7%

Length

2023-12-12T14:35:57.619587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:57.743004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 55
38.7%
300 51
35.9%
500 13
 
9.2%
정기권전용 11
 
7.7%
400 9
 
6.3%
100 2
 
1.4%
600 1
 
0.7%

일최대주차료
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
10000
30 
7000
25 
5000
22 
8000
16 
6000
13 
Other values (10)
36 

Length

Max length5
Median length4
Mean length4.415493
Min length4

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row10000
2nd row9000
3rd row9000
4th row정기권전용
5th row10000

Common Values

ValueCountFrequency (%)
10000 30
21.1%
7000 25
17.6%
5000 22
15.5%
8000 16
11.3%
6000 13
9.2%
정기권전용 11
 
7.7%
15000 8
 
5.6%
12000 4
 
2.8%
9000 3
 
2.1%
13000 3
 
2.1%
Other values (5) 7
 
4.9%

Length

2023-12-12T14:35:57.891613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10000 30
21.1%
7000 25
17.6%
5000 22
15.5%
8000 16
11.3%
6000 13
9.2%
정기권전용 11
 
7.7%
15000 8
 
5.6%
12000 4
 
2.8%
9000 3
 
2.1%
13000 3
 
2.1%
Other values (5) 7
 
4.9%

월정기권판매금액
Categorical

Distinct17
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
70000
40 
50000
27 
정기권없음
20 
60000
14 
80000
8 
Other values (12)
33 

Length

Max length6
Median length5
Mean length5.1197183
Min length5

Unique

Unique5 ?
Unique (%)3.5%

Sample

1st row100000
2nd row70000
3rd row70000
4th row70000
5th row75000

Common Values

ValueCountFrequency (%)
70000 40
28.2%
50000 27
19.0%
정기권없음 20
14.1%
60000 14
 
9.9%
80000 8
 
5.6%
100000 7
 
4.9%
75000 7
 
4.9%
130000 5
 
3.5%
30000 3
 
2.1%
110000 2
 
1.4%
Other values (7) 9
 
6.3%

Length

2023-12-12T14:35:58.009099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
70000 40
28.2%
50000 27
19.0%
정기권없음 20
14.1%
60000 14
 
9.9%
80000 8
 
5.6%
100000 7
 
4.9%
75000 7
 
4.9%
130000 5
 
3.5%
30000 3
 
2.1%
110000 2
 
1.4%
Other values (7) 9
 
6.3%

Interactions

2023-12-12T14:35:54.959486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:35:58.097293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수평일영업시간주말영업시간휴일영업시간기본주차료추가주차료일최대주차료월정기권판매금액
주차면수1.0000.0000.0000.0000.4850.3030.4580.000
평일영업시간0.0001.0001.0001.0000.0000.1680.0000.000
주말영업시간0.0001.0001.0001.0000.0000.1680.0000.000
휴일영업시간0.0001.0001.0001.0000.0000.1680.0000.000
기본주차료0.4850.0000.0000.0001.0000.8820.9190.722
추가주차료0.3030.1680.1680.1680.8821.0000.8550.602
일최대주차료0.4580.0000.0000.0000.9190.8551.0000.728
월정기권판매금액0.0000.0000.0000.0000.7220.6020.7281.000
2023-12-12T14:35:58.226579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주말영업시간추가주차료휴일영업시간일최대주차료기본주차료평일영업시간월정기권판매금액
주말영업시간1.0000.0731.0000.0000.0001.0000.000
추가주차료0.0731.0000.0730.5910.6920.0730.310
휴일영업시간1.0000.0731.0000.0000.0001.0000.000
일최대주차료0.0000.5910.0001.0000.6780.0000.335
기본주차료0.0000.6920.0000.6781.0000.0000.359
평일영업시간1.0000.0731.0000.0000.0001.0000.000
월정기권판매금액0.0000.3100.0000.3350.3590.0001.000
2023-12-12T14:35:58.350204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차면수평일영업시간주말영업시간휴일영업시간기본주차료추가주차료일최대주차료월정기권판매금액
주차면수1.0000.0000.0000.0000.2600.1080.2190.000
평일영업시간0.0001.0001.0001.0000.0000.0730.0000.000
주말영업시간0.0001.0001.0001.0000.0000.0730.0000.000
휴일영업시간0.0001.0001.0001.0000.0000.0730.0000.000
기본주차료0.2600.0000.0000.0001.0000.6920.6780.359
추가주차료0.1080.0730.0730.0730.6921.0000.5910.310
일최대주차료0.2190.0000.0000.0000.6780.5911.0000.335
월정기권판매금액0.0000.0000.0000.0000.3590.3100.3351.000

Missing values

2023-12-12T14:35:55.091637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:55.255147image/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

주차장명주소주차면수평일영업시간주말영업시간휴일영업시간기본주차료추가주차료일최대주차료월정기권판매금액
0DMC역서울특별시 은평구 수색로 1936400:00~23:5900:00~23:5900:00~23:59100050010000100000
1가능역A경기도 의정부시 평화로 6339000:00~23:5900:00~23:5900:00~23:59800300900070000
2가능역B경기도 의정부시 평화로 6333900:00~23:5900:00~23:5900:00~23:59800300900070000
3가능역C경기도 의정부시 평화로 6333300:00~23:5900:00~23:5900:00~23:59정기권전용정기권전용정기권전용70000
4강릉역강원도 강릉시 용지로 17619400:00~23:5900:00~23:5900:00~23:595003001000075000
5강릉역2강원도 강릉시 용지로 17619600:00~23:5900:00~23:5900:00~23:595003001000075000
6강매역경기도 고양시 덕양구 소원로 2023600:00~23:5900:00~23:5900:00~23:59정기권전용정기권전용정기권전용70000
7경기광주역경기도 광주시 광주역로 1015700:00~23:5900:00~23:5900:00~23:59800300700070000
8경산역경상북도 경산시 중앙로 13713:00~23:0013:00~23:0013:00~23:00400200500075000
9경주역A경상북도 경주시 원화로 26614500:00~23:5900:00~23:5900:00~23:5910002001000080000
주차장명주소주차면수평일영업시간주말영업시간휴일영업시간기본주차료추가주차료일최대주차료월정기권판매금액
132초월역경기도 광주시 초월읍 경충대로 10668800:00~23:5900:00~23:5900:00~23:59800300700070000
133춘천역강원도 춘천시 평화로 110008:00~17:0008:00~17:0008:00~17:00600300700070000
134충주역충청북도 충주시 충원대로 5399800:00~23:5900:00~23:5900:00~23:59500200700060000
135퇴계원역경기도 남양주시 퇴계원면 경춘북로 54510300:00~23:5900:00~23:5900:00~23:59600300700070000
136평내호평역경기도 남양주시 경춘로 13757000:00~23:5900:00~23:5900:00~23:598004008000100000
137평창역강원도 평창군 용평면 안인평1길 856400:00~23:5900:00~23:5900:00~23:59500200400050000
138포항역경상북도 포항시 북구 흥해읍 포항역로 132900:00~23:5900:00~23:5900:00~23:5910003001000070000
139풍산역경기도 고양시 일산동구 경의로 4864400:00~23:5900:00~23:5900:00~23:59600200800070000
140화전역경기도 고양시 덕양구 화랑로 535900:00~23:5900:00~23:5900:00~23:59600200800060000
141횡성역강원도 횡성군 횡성읍 덕고로 526-167600:00~23:5900:00~23:5900:00~23:59600200500055000