Overview

Dataset statistics

Number of variables12
Number of observations160
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory99.8 B

Variable types

Categorical8
Numeric2
Text2

Alerts

년도 has constant value ""Constant
운영기관 is highly overall correlated with 행정구역 코드 and 6 other fieldsHigh correlation
행정구역 is highly overall correlated with 행정구역 코드 and 6 other fieldsHigh correlation
행정구역 코드 is highly overall correlated with 행정구역 and 2 other fieldsHigh correlation
환승수단 is highly overall correlated with 행정구역 and 1 other fieldsHigh correlation
주차장형식 is highly overall correlated with 행정구역 and 1 other fieldsHigh correlation
주차급지 is highly overall correlated with 행정구역 and 1 other fieldsHigh correlation
일반주차요금 is highly overall correlated with 행정구역 and 2 other fieldsHigh correlation
환승주차요금 is highly overall correlated with 행정구역 코드 and 3 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 21:37:57.823786
Analysis finished2023-12-10 21:38:01.050775
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2022
160 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 160
100.0%

Length

2023-12-11T06:38:01.154659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:01.258704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 160
100.0%

행정구역 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3111075
Minimum3101000
Maximum3135000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:38:01.372215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3101000
5-th percentile3102000
Q13104000
median3109000
Q33116000
95-th percentile3125050
Maximum3135000
Range34000
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation7499.7275
Coefficient of variation (CV)0.0024106547
Kurtosis0.11912517
Mean3111075
Median Absolute Deviation (MAD)5000
Skewness0.80975041
Sum4.97772 × 108
Variance56245912
MonotonicityNot monotonic
2023-12-11T06:38:01.528019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3104000 22
13.8%
3108000 12
 
7.5%
3109000 12
 
7.5%
3110000 12
 
7.5%
3114000 12
 
7.5%
3103000 10
 
6.2%
3107000 10
 
6.2%
3115000 10
 
6.2%
3116000 10
 
6.2%
3102000 8
 
5.0%
Other values (11) 42
26.2%
ValueCountFrequency (%)
3101000 4
 
2.5%
3102000 8
 
5.0%
3103000 10
6.2%
3104000 22
13.8%
3105000 6
 
3.8%
3107000 10
6.2%
3108000 12
7.5%
3109000 12
7.5%
3110000 12
7.5%
3114000 12
7.5%
ValueCountFrequency (%)
3135000 2
 
1.2%
3128000 2
 
1.2%
3126000 4
 
2.5%
3125000 2
 
1.2%
3124000 4
 
2.5%
3123000 2
 
1.2%
3120000 8
5.0%
3119000 6
3.8%
3118000 2
 
1.2%
3116000 10
6.2%

행정구역
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경기도 안양시
22 
경기도 오산시
12 
경기도 동두천시
12 
경기도 안산시
12 
경기도 고양시
12 
Other values (16)
90 

Length

Max length8
Median length7
Mean length7.1375
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시
2nd row경기도 의정부시
3rd row경기도 의정부시
4th row경기도 의정부시
5th row경기도 안양시

Common Values

ValueCountFrequency (%)
경기도 안양시 22
13.8%
경기도 오산시 12
 
7.5%
경기도 동두천시 12
 
7.5%
경기도 안산시 12
 
7.5%
경기도 고양시 12
 
7.5%
경기도 의정부시 10
 
6.2%
경기도 시흥시 10
 
6.2%
경기도 군포시 10
 
6.2%
경기도 평택시 10
 
6.2%
경기도 성남시 8
 
5.0%
Other values (11) 42
26.2%

Length

2023-12-11T06:38:01.659412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 160
50.0%
안양시 22
 
6.9%
오산시 12
 
3.8%
동두천시 12
 
3.8%
안산시 12
 
3.8%
고양시 12
 
3.8%
의정부시 10
 
3.1%
시흥시 10
 
3.1%
군포시 10
 
3.1%
평택시 10
 
3.1%
Other values (12) 50
 
15.6%

주차장명
Text

Distinct80
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T06:38:01.936543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length7.7125
Min length3

Characters and Unicode

Total characters1234
Distinct characters125
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

Unique0 ?
Unique (%)0.0%

Sample

1st row의2동 의정부(서부)역 철도변
2nd row장암동 장암역(환승)
3rd row녹양동 녹양역(환승)
4th row흥선역(라과디아)
5th row안양역2노상
ValueCountFrequency (%)
환승 16
 
6.5%
주차장 10
 
4.1%
공영주차장 10
 
4.1%
환승주차장 6
 
2.4%
노외 4
 
1.6%
금촌역 4
 
1.6%
지제역 4
 
1.6%
고가 4
 
1.6%
석수역 4
 
1.6%
세마역 4
 
1.6%
Other values (89) 180
73.2%
2023-12-11T06:38:02.376751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 160
 
13.0%
86
 
7.0%
장 70
 
5.7%
환 62
 
5.0%
승 62
 
5.0%
주 60
 
4.9%
차 58
 
4.7%
공 32
 
2.6%
영 30
 
2.4%
동 22
 
1.8%
Other values (115) 592
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1082
87.7%
Space Separator 86
 
7.0%
Decimal Number 26
 
2.1%
Open Punctuation 20
 
1.6%
Close Punctuation 20
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 160
 
14.8%
장 70
 
6.5%
환 62
 
5.7%
승 62
 
5.7%
주 60
 
5.5%
차 58
 
5.4%
공 32
 
3.0%
영 30
 
2.8%
동 22
 
2.0%
부 20
 
1.8%
Other values (108) 506
46.8%
Decimal Number
ValueCountFrequency (%)
2 12
46.2%
1 10
38.5%
4 2
 
7.7%
3 2
 
7.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1082
87.7%
Common 152
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 160
 
14.8%
장 70
 
6.5%
환 62
 
5.7%
승 62
 
5.7%
주 60
 
5.5%
차 58
 
5.4%
공 32
 
3.0%
영 30
 
2.8%
동 22
 
2.0%
부 20
 
1.8%
Other values (108) 506
46.8%
Common
ValueCountFrequency (%)
86
56.6%
( 20
 
13.2%
) 20
 
13.2%
2 12
 
7.9%
1 10
 
6.6%
4 2
 
1.3%
3 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1082
87.7%
ASCII 152
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 160
 
14.8%
장 70
 
6.5%
환 62
 
5.7%
승 62
 
5.7%
주 60
 
5.5%
차 58
 
5.4%
공 32
 
3.0%
영 30
 
2.8%
동 22
 
2.0%
부 20
 
1.8%
Other values (108) 506
46.8%
ASCII
ValueCountFrequency (%)
86
56.6%
( 20
 
13.2%
) 20
 
13.2%
2 12
 
7.9%
1 10
 
6.6%
4 2
 
1.3%
3 2
 
1.3%

소재지
Text

Distinct80
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T06:38:02.682669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24.5
Mean length19.9
Min length15

Characters and Unicode

Total characters3184
Distinct characters117
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시 의정부동 704
2nd row경기도 의정부시 장암동 159
3rd row경기도 의정부시 녹양동 413
4th row경기도 의정부시 의정부동 333-3
5th row경기도 안양시 만안구 안양동 1189-1번지
ValueCountFrequency (%)
경기도 160
 
22.4%
안양시 22
 
3.1%
만안구 18
 
2.5%
고양시 12
 
1.7%
동두천시 12
 
1.7%
안산시 12
 
1.7%
석수동 12
 
1.7%
오산시 12
 
1.7%
군포시 10
 
1.4%
의정부시 10
 
1.4%
Other values (163) 434
60.8%
2023-12-11T06:38:03.330979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
 
17.5%
동 182
 
5.7%
시 170
 
5.3%
경 160
 
5.0%
도 160
 
5.0%
기 160
 
5.0%
- 116
 
3.6%
1 102
 
3.2%
2 102
 
3.2%
3 84
 
2.6%
Other values (107) 1392
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1830
57.5%
Decimal Number 672
 
21.1%
Space Separator 556
 
17.5%
Dash Punctuation 116
 
3.6%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 182
 
9.9%
시 170
 
9.3%
경 160
 
8.7%
도 160
 
8.7%
기 160
 
8.7%
지 68
 
3.7%
구 64
 
3.5%
안 62
 
3.4%
번 58
 
3.2%
양 52
 
2.8%
Other values (92) 694
37.9%
Decimal Number
ValueCountFrequency (%)
1 102
15.2%
2 102
15.2%
3 84
12.5%
6 72
10.7%
4 68
10.1%
7 66
9.8%
0 54
8.0%
5 48
7.1%
9 38
 
5.7%
8 38
 
5.7%
Space Separator
ValueCountFrequency (%)
556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1830
57.5%
Common 1354
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 182
 
9.9%
시 170
 
9.3%
경 160
 
8.7%
도 160
 
8.7%
기 160
 
8.7%
지 68
 
3.7%
구 64
 
3.5%
안 62
 
3.4%
번 58
 
3.2%
양 52
 
2.8%
Other values (92) 694
37.9%
Common
ValueCountFrequency (%)
556
41.1%
- 116
 
8.6%
1 102
 
7.5%
2 102
 
7.5%
3 84
 
6.2%
6 72
 
5.3%
4 68
 
5.0%
7 66
 
4.9%
0 54
 
4.0%
5 48
 
3.5%
Other values (5) 86
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1830
57.5%
ASCII 1354
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
556
41.1%
- 116
 
8.6%
1 102
 
7.5%
2 102
 
7.5%
3 84
 
6.2%
6 72
 
5.3%
4 68
 
5.0%
7 66
 
4.9%
0 54
 
4.0%
5 48
 
3.5%
Other values (5) 86
 
6.4%
Hangul
ValueCountFrequency (%)
동 182
 
9.9%
시 170
 
9.3%
경 160
 
8.7%
도 160
 
8.7%
기 160
 
8.7%
지 68
 
3.7%
구 64
 
3.5%
안 62
 
3.4%
번 58
 
3.2%
양 52
 
2.8%
Other values (92) 694
37.9%

환승수단
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1호선
94 
4호선
22 
경의중앙
14 
-
 
6
3호선
 
6
Other values (6)
18 

Length

Max length4
Median length3
Mean length3.0125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
1호선 94
58.8%
4호선 22
 
13.8%
경의중앙 14
 
8.8%
- 6
 
3.8%
3호선 6
 
3.8%
신분당 6
 
3.8%
경강선 4
 
2.5%
서해 2
 
1.2%
의정부 2
 
1.2%
8호선 2
 
1.2%

Length

2023-12-11T06:38:03.526378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1호선 94
58.8%
4호선 22
 
13.8%
경의중앙 14
 
8.8%
6
 
3.8%
3호선 6
 
3.8%
신분당 6
 
3.8%
경강선 4
 
2.5%
서해 2
 
1.2%
의정부 2
 
1.2%
8호선 2
 
1.2%

주차장형식
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노상
120 
노외
30 
건축물부설
 
10

Length

Max length5
Median length2
Mean length2.1875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노상 120
75.0%
노외 30
 
18.8%
건축물부설 10
 
6.2%

Length

2023-12-11T06:38:03.650169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:03.763652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 120
75.0%
노외 30
 
18.8%
건축물부설 10
 
6.2%

주차급지
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1급지
84 
2급지
34 
5급지
26 
3급지
 
8
4급지
 
8

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1급지
2nd row1급지
3rd row1급지
4th row2급지
5th row1급지

Common Values

ValueCountFrequency (%)
1급지 84
52.5%
2급지 34
21.2%
5급지 26
 
16.2%
3급지 8
 
5.0%
4급지 8
 
5.0%

Length

2023-12-11T06:38:03.884670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:04.003199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1급지 84
52.5%
2급지 34
21.2%
5급지 26
 
16.2%
3급지 8
 
5.0%
4급지 8
 
5.0%

주차면수
Real number (ℝ)

Distinct65
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.55
Minimum10
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:38:04.154333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19.8
Q144
median78
Q3170.25
95-th percentile297.9
Maximum519
Range509
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation104.92704
Coefficient of variation (CV)0.90027487
Kurtosis3.7318163
Mean116.55
Median Absolute Deviation (MAD)42
Skewness1.8201978
Sum18648
Variance11009.683
MonotonicityNot monotonic
2023-12-11T06:38:04.320039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 6
 
3.8%
44 4
 
2.5%
70 4
 
2.5%
40 4
 
2.5%
43 4
 
2.5%
100 4
 
2.5%
99 4
 
2.5%
75 4
 
2.5%
46 4
 
2.5%
185 4
 
2.5%
Other values (55) 118
73.8%
ValueCountFrequency (%)
10 2
1.2%
13 2
1.2%
15 2
1.2%
16 2
1.2%
20 4
2.5%
24 4
2.5%
26 2
1.2%
27 2
1.2%
30 4
2.5%
31 2
1.2%
ValueCountFrequency (%)
519 2
1.2%
509 2
1.2%
378 2
1.2%
353 2
1.2%
295 2
1.2%
273 2
1.2%
270 2
1.2%
268 2
1.2%
239 2
1.2%
233 2
1.2%

일반주차요금
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
80 
무료
29 
200원/30분
11 
600원/30분
 
8
400원/30분
 
8
Other values (8)
24 

Length

Max length9
Median length8.5
Mean length4.925
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row무료
2nd row300원/10분
3rd row300원/10분
4th row200원/10분
5th row600원/30분

Common Values

ValueCountFrequency (%)
<NA> 80
50.0%
무료 29
 
18.1%
200원/30분 11
 
6.9%
600원/30분 8
 
5.0%
400원/30분 8
 
5.0%
500원/30분 7
 
4.4%
700원/30분 4
 
2.5%
300원/10분 3
 
1.9%
900원/30분 3
 
1.9%
200원/10분 2
 
1.2%
Other values (3) 5
 
3.1%

Length

2023-12-11T06:38:04.480835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 80
50.0%
무료 29
 
18.1%
200원/30분 11
 
6.9%
600원/30분 8
 
5.0%
400원/30분 8
 
5.0%
500원/30분 7
 
4.4%
700원/30분 4
 
2.5%
300원/10분 3
 
1.9%
900원/30분 3
 
1.9%
200원/10분 2
 
1.2%
Other values (3) 5
 
3.1%

환승주차요금
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
80 
-
75 
환승 60% 할인
 
3
환승50% 감면
 
2

Length

Max length9
Median length8.5
Mean length2.7375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
<NA> 80
50.0%
- 75
46.9%
환승 60% 할인 3
 
1.9%
환승50% 감면 2
 
1.2%

Length

2023-12-11T06:38:04.624438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:04.745329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
47.6%
75
44.6%
환승 3
 
1.8%
60 3
 
1.8%
할인 3
 
1.8%
환승50 2
 
1.2%
감면 2
 
1.2%

운영기관
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
안양시
22 
동두천시청
12 
안산시청
12 
고양도시관리공사
12 
의정부시시설관리공단
10 
Other values (21)
92 

Length

Max length10
Median length8
Mean length6.075
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의정부시시설관리공단
2nd row의정부시시설관리공단
3rd row의정부시시설관리공단
4th row의정부시시설관리공단
5th row안양시

Common Values

ValueCountFrequency (%)
안양시 22
13.8%
동두천시청 12
 
7.5%
안산시청 12
 
7.5%
고양도시관리공사 12
 
7.5%
의정부시시설관리공단 10
 
6.2%
평택시청 10
 
6.2%
오산시시설관리공단 10
 
6.2%
시흥도시공사 10
 
6.2%
성남도시개발공사 8
 
5.0%
군포도시공사 8
 
5.0%
Other values (16) 46
28.7%

Length

2023-12-11T06:38:04.885180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시 22
13.8%
동두천시청 12
 
7.5%
안산시청 12
 
7.5%
고양도시관리공사 12
 
7.5%
의정부시시설관리공단 10
 
6.2%
평택시청 10
 
6.2%
오산시시설관리공단 10
 
6.2%
시흥도시공사 10
 
6.2%
성남도시개발공사 8
 
5.0%
군포도시공사 8
 
5.0%
Other values (16) 46
28.7%

Interactions

2023-12-11T06:38:00.434990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:00.188827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:00.524290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:00.336751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:38:05.016709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역 코드행정구역주차장명소재지환승수단주차장형식주차급지주차면수일반주차요금환승주차요금운영기관
행정구역 코드1.0001.0001.0001.0000.7090.5970.6050.6880.7410.9441.000
행정구역1.0001.0001.0001.0000.9400.8360.8660.7590.9320.9671.000
주차장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
환승수단0.7090.9401.0001.0001.0000.2680.6890.6370.5050.0000.938
주차장형식0.5970.8361.0001.0000.2681.0000.2050.5650.3950.0000.837
주차급지0.6050.8661.0001.0000.6890.2051.0000.3840.6600.0000.884
주차면수0.6880.7591.0001.0000.6370.5650.3841.0000.5920.7970.784
일반주차요금0.7410.9321.0001.0000.5050.3950.6600.5921.0000.9520.951
환승주차요금0.9440.9671.0001.0000.0000.0000.0000.7970.9521.0000.940
운영기관1.0001.0001.0001.0000.9380.8370.8840.7840.9510.9401.000
2023-12-11T06:38:05.252225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
환승주차요금운영기관주차급지환승수단행정구역주차장형식일반주차요금
환승주차요금1.0000.6980.0000.0000.7070.0000.704
운영기관0.6981.0000.6200.6600.9820.6030.647
주차급지0.0000.6201.0000.4590.6140.1560.419
환승수단0.0000.6600.4591.0000.6850.1560.224
행정구역0.7070.9820.6140.6851.0000.5500.626
주차장형식0.0000.6030.1560.1560.5501.0000.178
일반주차요금0.7040.6470.4190.2240.6260.1781.000
2023-12-11T06:38:05.379613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역 코드주차면수행정구역환승수단주차장형식주차급지일반주차요금환승주차요금운영기관
행정구역 코드1.000-0.1530.9590.4160.3170.3910.4290.6930.942
주차면수-0.1531.0000.3990.3510.2930.2300.2900.4820.410
행정구역0.9590.3991.0000.6850.5500.6140.6260.7070.982
환승수단0.4160.3510.6851.0000.1560.4590.2240.0000.660
주차장형식0.3170.2930.5500.1561.0000.1560.1780.0000.603
주차급지0.3910.2300.6140.4590.1561.0000.4190.0000.620
일반주차요금0.4290.2900.6260.2240.1780.4191.0000.7040.647
환승주차요금0.6930.4820.7070.0000.0000.0000.7041.0000.698
운영기관0.9420.4100.9820.6600.6030.6200.6470.6981.000

Missing values

2023-12-11T06:38:00.670638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:38:00.933010image/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

년도행정구역 코드행정구역주차장명소재지환승수단주차장형식주차급지주차면수일반주차요금환승주차요금운영기관
020223103000경기도 의정부시의2동 의정부(서부)역 철도변경기도 의정부시 의정부동 704-노외1급지44무료-의정부시시설관리공단
120223103000경기도 의정부시장암동 장암역(환승)경기도 의정부시 장암동 1591호선노상1급지177300원/10분-의정부시시설관리공단
220223103000경기도 의정부시녹양동 녹양역(환승)경기도 의정부시 녹양동 4131호선노상1급지135300원/10분-의정부시시설관리공단
320223103000경기도 의정부시흥선역(라과디아)경기도 의정부시 의정부동 333-31호선노상2급지519200원/10분-의정부시시설관리공단
420223104000경기도 안양시안양역2노상경기도 안양시 만안구 안양동 1189-1번지1호선노외1급지24600원/30분-안양시
520223104000경기도 안양시관악역3환승경기도 안양시 만안구 석수동 110-20번지1호선노상3급지96200원/30분-안양시
620223104000경기도 안양시관악역1환승경기도 안양시 만안구 석수동 259-34번지 스카이빌1호선노상3급지44200원/30분-안양시
720223104000경기도 안양시석수역 좌측경기도 안양시 만안구 석수동 4241호선노상5급지85무료-안양시
820223104000경기도 안양시평촌역노상경기도 안양시 동안구 관양동 16044호선노외1급지71600원/30분-안양시
920223105000경기도 부천시부천북부역경기도 부천시 심곡동 172-15~ 127-21호선노외1급지55900원/30분-부천시시설관리공단
년도행정구역 코드행정구역주차장명소재지환승수단주차장형식주차급지주차면수일반주차요금환승주차요금운영기관
15020223102000경기도 성남시산성역 환승경기도 성남시 수정구 산성동 6번지8호선노상1급지225<NA><NA>성남도시개발공사
15120223102000경기도 성남시수내역경기도 성남시 분당구 수내동 34번지신분당노상1급지509<NA><NA>성남도시개발공사
15220223103000경기도 의정부시의2동 의정부(서부)역 철도변경기도 의정부시 의정부동 704-노외1급지44<NA><NA>의정부시시설관리공단
15320223103000경기도 의정부시의정부역(환승)경기도 의정부시 의정부동 162-3의정부노상1급지97<NA><NA>의정부시시설관리공단
15420223104000경기도 안양시안양역1노상경기도 안양시 만안구 안양동 674-19번지1호선노외1급지54<NA><NA>안양시
15520223104000경기도 안양시명학역경기도 안양시 만안구 안양동 201-23번지1호선노상2급지87<NA><NA>안양시
15620223104000경기도 안양시관악역3환승경기도 안양시 만안구 석수동 110-20번지1호선노상3급지96<NA><NA>안양시
15720223104000경기도 안양시관악역1환승경기도 안양시 만안구 석수동 259-34번지 스카이빌1호선노상3급지44<NA><NA>안양시
15820223104000경기도 안양시석수역 좌측경기도 안양시 만안구 석수동 4241호선노상5급지85<NA><NA>안양시
15920223104000경기도 안양시평촌역노상경기도 안양시 동안구 관양동 16044호선노외1급지71<NA><NA>안양시