Overview

Dataset statistics

Number of variables20
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory165.3 B

Variable types

Categorical15
Text3
Numeric2

Dataset

Description경기도 광주시 관내 명절 연휴기간 중 무료 개방 주차장 정보에 대한 데이터로 주차장명,주차장유형,주소,전화번호 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15042636/fileData.do

Alerts

시도명 has constant value ""Constant
데이터등록기관명 has constant value ""Constant
시군명 has constant value ""Constant
관리기관명 has constant value ""Constant
연락처 has constant value ""Constant
연휴1일차(1-24)개방시작시간 has constant value ""Constant
연휴1일차(1-24)개방종료시간 has constant value ""Constant
연휴2일차(1-25)개방시작시간 has constant value ""Constant
연휴2일차(1-25)개방종료시간 has constant value ""Constant
연휴3일차(1-26)개방시작시간 has constant value ""Constant
연휴3일차(1-26)개방종료시간 has constant value ""Constant
연휴4일차(1-27)개방시작시간 has constant value ""Constant
연휴4일차(1-27)개방종료시간 has constant value ""Constant
종일개방여부 has constant value ""Constant
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:52:42.147555
Analysis finished2023-12-12 15:52:43.798478
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
경기도
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 40
100.0%

Length

2023-12-13T00:52:43.888164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:44.021250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 40
100.0%

데이터등록기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
광주시
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 40
100.0%

Length

2023-12-13T00:52:44.132529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:44.246197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 40
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
광주시
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 40
100.0%

Length

2023-12-13T00:52:44.363733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:44.495552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 40
100.0%
Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T00:52:44.744471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length13.425
Min length9

Characters and Unicode

Total characters537
Distinct characters116
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row송정동 노상주차장(크로바쇼핑앞)
2nd row다샘장앞 노상주차장
3rd row송정동(구)우시장 노외주차장
4th row(구)3번종점 역동 노외주차장
5th row곤지암노외 주차장
ValueCountFrequency (%)
노외주차장 20
19.6%
노상주차장 17
 
16.7%
해태아파트 3
 
2.9%
3
 
2.9%
교량 2
 
2.0%
진입로 2
 
2.0%
광지원리 2
 
2.0%
송정동 2
 
2.0%
하부 2
 
2.0%
경안동 2
 
2.0%
Other values (47) 47
46.1%
2023-12-13T00:52:45.255149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
11.5%
44
 
8.2%
44
 
8.2%
41
 
7.6%
40
 
7.4%
22
 
4.1%
20
 
3.7%
12
 
2.2%
) 10
 
1.9%
( 10
 
1.9%
Other values (106) 232
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
83.4%
Space Separator 62
 
11.5%
Close Punctuation 10
 
1.9%
Open Punctuation 10
 
1.9%
Decimal Number 6
 
1.1%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
9.8%
44
 
9.8%
41
 
9.2%
40
 
8.9%
22
 
4.9%
20
 
4.5%
12
 
2.7%
8
 
1.8%
8
 
1.8%
7
 
1.6%
Other values (99) 202
45.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
83.4%
Common 88
 
16.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
9.8%
44
 
9.8%
41
 
9.2%
40
 
8.9%
22
 
4.9%
20
 
4.5%
12
 
2.7%
8
 
1.8%
8
 
1.8%
7
 
1.6%
Other values (99) 202
45.1%
Common
ValueCountFrequency (%)
62
70.5%
) 10
 
11.4%
( 10
 
11.4%
1 3
 
3.4%
2 2
 
2.3%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
83.4%
ASCII 89
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
69.7%
) 10
 
11.2%
( 10
 
11.2%
1 3
 
3.4%
2 2
 
2.2%
e 1
 
1.1%
3 1
 
1.1%
Hangul
ValueCountFrequency (%)
44
 
9.8%
44
 
9.8%
41
 
9.2%
40
 
8.9%
22
 
4.9%
20
 
4.5%
12
 
2.7%
8
 
1.8%
8
 
1.8%
7
 
1.6%
Other values (99) 202
45.1%

주차장유형
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
노외
23 
노상
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 23
57.5%
노상 17
42.5%

Length

2023-12-13T00:52:45.436688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:45.584085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 23
57.5%
노상 17
42.5%
Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T00:52:45.907755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.3
Min length13

Characters and Unicode

Total characters732
Distinct characters72
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

Unique38 ?
Unique (%)95.0%

Sample

1st row경기도 광주시 송정로 17
2nd row경기도 광주시 중앙로 96
3rd row경기도 광주시 통미로 16번길 5-2
4th row경기도 광주시 중앙로 71
5th row경기도 광주시 곤지암읍 경충대로 612
ValueCountFrequency (%)
경기도 40
22.0%
광주시 40
22.0%
14
 
7.7%
경안로 4
 
2.2%
중앙로 4
 
2.2%
통미로 3
 
1.6%
초월읍 3
 
1.6%
경안동 3
 
1.6%
포돌이로 3
 
1.6%
경충대로 2
 
1.1%
Other values (61) 66
36.3%
2023-12-13T00:52:46.511745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
19.4%
52
 
7.1%
42
 
5.7%
41
 
5.6%
40
 
5.5%
40
 
5.5%
40
 
5.5%
1 32
 
4.4%
28
 
3.8%
- 19
 
2.6%
Other values (62) 256
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
59.3%
Space Separator 142
 
19.4%
Decimal Number 135
 
18.4%
Dash Punctuation 19
 
2.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
12.0%
42
 
9.7%
41
 
9.4%
40
 
9.2%
40
 
9.2%
40
 
9.2%
28
 
6.5%
14
 
3.2%
11
 
2.5%
9
 
2.1%
Other values (48) 117
27.0%
Decimal Number
ValueCountFrequency (%)
1 32
23.7%
2 18
13.3%
6 13
9.6%
8 12
 
8.9%
0 11
 
8.1%
7 11
 
8.1%
5 11
 
8.1%
3 10
 
7.4%
4 10
 
7.4%
9 7
 
5.2%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
59.3%
Common 298
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
12.0%
42
 
9.7%
41
 
9.4%
40
 
9.2%
40
 
9.2%
40
 
9.2%
28
 
6.5%
14
 
3.2%
11
 
2.5%
9
 
2.1%
Other values (48) 117
27.0%
Common
ValueCountFrequency (%)
142
47.7%
1 32
 
10.7%
- 19
 
6.4%
2 18
 
6.0%
6 13
 
4.4%
8 12
 
4.0%
0 11
 
3.7%
7 11
 
3.7%
5 11
 
3.7%
3 10
 
3.4%
Other values (4) 19
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
59.3%
ASCII 298
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
47.7%
1 32
 
10.7%
- 19
 
6.4%
2 18
 
6.0%
6 13
 
4.4%
8 12
 
4.0%
0 11
 
3.7%
7 11
 
3.7%
5 11
 
3.7%
3 10
 
3.4%
Other values (4) 19
 
6.4%
Hangul
ValueCountFrequency (%)
52
12.0%
42
 
9.7%
41
 
9.4%
40
 
9.2%
40
 
9.2%
40
 
9.2%
28
 
6.5%
14
 
3.2%
11
 
2.5%
9
 
2.1%
Other values (48) 117
27.0%
Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T00:52:46.813298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.425
Min length15

Characters and Unicode

Total characters737
Distinct characters50
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

Unique36 ?
Unique (%)90.0%

Sample

1st row경기도 광주시 송정동 548-10
2nd row경기도 광주시 역동 218-3
3rd row경기도 광주시 송정동 101-4
4th row경기도 광주시 역동 27-15
5th row경기도 광주시 곤지암읍 곤지암리 555
ValueCountFrequency (%)
경기도 40
23.3%
광주시 40
23.3%
경안동 13
 
7.6%
송정동 8
 
4.7%
곤지암리 4
 
2.3%
곤지암읍 4
 
2.3%
역동 4
 
2.3%
탄벌동 3
 
1.7%
초월읍 3
 
1.7%
남한산성면 3
 
1.7%
Other values (46) 50
29.1%
2023-12-13T00:52:47.338087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
17.9%
53
 
7.2%
42
 
5.7%
40
 
5.4%
40
 
5.4%
40
 
5.4%
40
 
5.4%
1 33
 
4.5%
- 32
 
4.3%
30
 
4.1%
Other values (40) 255
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
55.5%
Decimal Number 164
22.3%
Space Separator 132
 
17.9%
Dash Punctuation 32
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
13.0%
42
10.3%
40
9.8%
40
9.8%
40
9.8%
40
9.8%
30
 
7.3%
13
 
3.2%
11
 
2.7%
11
 
2.7%
Other values (28) 89
21.8%
Decimal Number
ValueCountFrequency (%)
1 33
20.1%
2 20
12.2%
3 18
11.0%
4 17
10.4%
5 17
10.4%
8 16
9.8%
7 12
 
7.3%
6 12
 
7.3%
0 11
 
6.7%
9 8
 
4.9%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
55.5%
Common 328
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
13.0%
42
10.3%
40
9.8%
40
9.8%
40
9.8%
40
9.8%
30
 
7.3%
13
 
3.2%
11
 
2.7%
11
 
2.7%
Other values (28) 89
21.8%
Common
ValueCountFrequency (%)
132
40.2%
1 33
 
10.1%
- 32
 
9.8%
2 20
 
6.1%
3 18
 
5.5%
4 17
 
5.2%
5 17
 
5.2%
8 16
 
4.9%
7 12
 
3.7%
6 12
 
3.7%
Other values (2) 19
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
55.5%
ASCII 328
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
40.2%
1 33
 
10.1%
- 32
 
9.8%
2 20
 
6.1%
3 18
 
5.5%
4 17
 
5.2%
5 17
 
5.2%
8 16
 
4.9%
7 12
 
3.7%
6 12
 
3.7%
Other values (2) 19
 
5.8%
Hangul
ValueCountFrequency (%)
53
13.0%
42
10.3%
40
9.8%
40
9.8%
40
9.8%
40
9.8%
30
 
7.3%
13
 
3.2%
11
 
2.7%
11
 
2.7%
Other values (28) 89
21.8%

위도
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.403155
Minimum37.328839
Maximum37.464271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T00:52:47.534703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.328839
5-th percentile37.350734
Q137.402242
median37.410178
Q337.414933
95-th percentile37.448821
Maximum37.464271
Range0.13543168
Interquartile range (IQR)0.012690498

Descriptive statistics

Standard deviation0.029343162
Coefficient of variation (CV)0.00078451036
Kurtosis0.78486314
Mean37.403155
Median Absolute Deviation (MAD)0.0052585
Skewness-0.60212745
Sum1496.1262
Variance0.00086102117
MonotonicityNot monotonic
2023-12-13T00:52:47.747244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37.419454 1
 
2.5%
37.411109 1
 
2.5%
37.412493 1
 
2.5%
37.407079 1
 
2.5%
37.407688 1
 
2.5%
37.415838 1
 
2.5%
37.402888 1
 
2.5%
37.430219 1
 
2.5%
37.376431 1
 
2.5%
37.361279 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
37.328839 1
2.5%
37.350501 1
2.5%
37.350746 1
2.5%
37.35114753 1
2.5%
37.352032 1
2.5%
37.35969912 1
2.5%
37.361279 1
2.5%
37.376431 1
2.5%
37.384424 1
2.5%
37.40030501 1
2.5%
ValueCountFrequency (%)
37.46427068 1
2.5%
37.464201 1
2.5%
37.448011 1
2.5%
37.430219 1
2.5%
37.419454 1
2.5%
37.417564 1
2.5%
37.41622156 1
2.5%
37.416153 1
2.5%
37.415838 1
2.5%
37.415034 1
2.5%

경도
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.27097
Minimum127.23976
Maximum127.39664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T00:52:47.947272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23976
5-th percentile127.24507
Q1127.25336
median127.25794
Q3127.26248
95-th percentile127.34532
Maximum127.39664
Range0.156885
Interquartile range (IQR)0.00912075

Descriptive statistics

Standard deviation0.035181188
Coefficient of variation (CV)0.00027642743
Kurtosis3.7939759
Mean127.27097
Median Absolute Deviation (MAD)0.0045455
Skewness2.0832255
Sum5090.839
Variance0.001237716
MonotonicityNot monotonic
2023-12-13T00:52:48.122863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
127.257719 1
 
2.5%
127.262085 1
 
2.5%
127.261106 1
 
2.5%
127.249395 1
 
2.5%
127.250685 1
 
2.5%
127.253209 1
 
2.5%
127.255431 1
 
2.5%
127.259868 1
 
2.5%
127.289281 1
 
2.5%
127.319773 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
127.239757 1
2.5%
127.240802 1
2.5%
127.2452966 1
2.5%
127.249395 1
2.5%
127.2501666 1
2.5%
127.250201 1
2.5%
127.250382 1
2.5%
127.250685 1
2.5%
127.2528644 1
2.5%
127.253209 1
2.5%
ValueCountFrequency (%)
127.396642 1
2.5%
127.346046 1
2.5%
127.3452869 1
2.5%
127.337601 1
2.5%
127.336671 1
2.5%
127.319773 1
2.5%
127.29971 1
2.5%
127.289281 1
2.5%
127.263903 1
2.5%
127.262494 1
2.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
경기도 광주도시관리공사
40 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 광주도시관리공사
2nd row경기도 광주도시관리공사
3rd row경기도 광주도시관리공사
4th row경기도 광주도시관리공사
5th row경기도 광주도시관리공사

Common Values

ValueCountFrequency (%)
경기도 광주도시관리공사 40
100.0%

Length

2023-12-13T00:52:48.328479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:48.463462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 40
50.0%
광주도시관리공사 40
50.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
031-769-0448
40 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-769-0448
2nd row031-769-0448
3rd row031-769-0448
4th row031-769-0448
5th row031-769-0448

Common Values

ValueCountFrequency (%)
031-769-0448 40
100.0%

Length

2023-12-13T00:52:48.614962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:48.804452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-769-0448 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
00:00
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 40
100.0%

Length

2023-12-13T00:52:48.981360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:49.134072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
23:59
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 40
100.0%

Length

2023-12-13T00:52:49.295373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:49.437703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
00:00
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 40
100.0%

Length

2023-12-13T00:52:49.565424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:49.718877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
23:59
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 40
100.0%

Length

2023-12-13T00:52:49.861171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:49.998528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
00:00
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 40
100.0%

Length

2023-12-13T00:52:50.135608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:50.255499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
23:59
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 40
100.0%

Length

2023-12-13T00:52:50.367308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:50.517649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
00:00
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 40
100.0%

Length

2023-12-13T00:52:50.679131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:50.810833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 40
100.0%
Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
23:59
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 40
100.0%

Length

2023-12-13T00:52:50.962161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:51.135038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 40
100.0%

종일개방여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
종일개방
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종일개방 40
100.0%

Length

2023-12-13T00:52:51.290513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:51.429905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일개방 40
100.0%

Interactions

2023-12-13T00:52:42.928488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:42.647517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:43.069146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:42.782713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:52:51.522946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차장유형소재지도로명주소소재지지번주소위도경도
주차장명1.0001.0000.9941.0001.0001.000
주차장유형1.0001.0001.0001.0000.3040.356
소재지도로명주소0.9941.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
위도1.0000.3041.0001.0001.0000.926
경도1.0000.3561.0001.0000.9261.000
2023-12-13T00:52:52.058325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도주차장유형
위도1.000-0.3400.193
경도-0.3401.0000.236
주차장유형0.1930.2361.000

Missing values

2023-12-13T00:52:43.304758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:52:43.671495image/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

시도명데이터등록기관명시군명주차장명주차장유형소재지도로명주소소재지지번주소위도경도관리기관명연락처연휴1일차(1-24)개방시작시간연휴1일차(1-24)개방종료시간연휴2일차(1-25)개방시작시간연휴2일차(1-25)개방종료시간연휴3일차(1-26)개방시작시간연휴3일차(1-26)개방종료시간연휴4일차(1-27)개방시작시간연휴4일차(1-27)개방종료시간종일개방여부
0경기도광주시광주시송정동 노상주차장(크로바쇼핑앞)노상경기도 광주시 송정로 17경기도 광주시 송정동 548-1037.419454127.257719경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
1경기도광주시광주시다샘장앞 노상주차장노상경기도 광주시 중앙로 96경기도 광주시 역동 218-337.408291127.259909경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
2경기도광주시광주시송정동(구)우시장 노외주차장노외경기도 광주시 통미로 16번길 5-2경기도 광주시 송정동 101-437.414899127.258531경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
3경기도광주시광주시(구)3번종점 역동 노외주차장노외경기도 광주시 중앙로 71경기도 광주시 역동 27-1537.405931127.260301경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
4경기도광주시광주시곤지암노외 주차장노외경기도 광주시 곤지암읍 경충대로 612경기도 광주시 곤지암읍 곤지암리 55537.352032127.346046경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
5경기도광주시광주시송정단위농협 뒤 노외주차장노외경기도 광주시 통미로 24번길 3-15경기도 광주시 송정동 101-7437.414746127.258151경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
6경기도광주시광주시경안동 노외주차장노외경기도 광주시 경안로 13-6경기도 광주시 경안동 30-637.409419127.259014경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
7경기도광주시광주시송정동(광주고교 진입로) 노외주차장노외경기도 광주시 수하길28번길 10-5경기도 광주시 송정동 507-637.414414127.263903경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
8경기도광주시광주시송정동(현대아파트뒤) 노외주차장노외경기도 광주시 광주대로105번길 22-20경기도 광주시 송정동 108-237.417564127.261187경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
9경기도광주시광주시신촌리 노외주차장노외경기도 광주시 경충대로 49-2경기도 광주시 곤지암읍 신촌리 13337.328839127.396642경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
시도명데이터등록기관명시군명주차장명주차장유형소재지도로명주소소재지지번주소위도경도관리기관명연락처연휴1일차(1-24)개방시작시간연휴1일차(1-24)개방종료시간연휴2일차(1-25)개방시작시간연휴2일차(1-25)개방종료시간연휴3일차(1-26)개방시작시간연휴3일차(1-26)개방종료시간연휴4일차(1-27)개방시작시간연휴4일차(1-27)개방종료시간종일개방여부
30경기도광주시광주시곤지암생활체육공원 임시 노외주차장노외경기도 광주시 초월읍 평촌길 12-187 앞경기도 광주시 초월읍 늑현리 193-53번지37.361279127.319773경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
31경기도광주시광주시경안동 노상주차장노상경기도 광주시 경안동 72-98 외2경기도 광주시 경안동 72-98 외237.412049127.255974경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
32경기도광주시광주시대쌍령리 노외주차장노외경기도 광주시 초월읍 대상령리 11경기도 광주시 초월읍 대상령리 1137.384424127.29971경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
33경기도광주시광주시광지원리 교량 하부 노외주차장노외경기도 광주시 남한산성면 광지원리 184-8경기도 광주시 남한산성면 광지원리 184-837.464271127.250167경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
34경기도광주시광주시시립도서관 옆 노상주차장노상경기도 광주시 경안동 161-41경기도 광주시 경안동 161-4137.411305127.253862경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
35경기도광주시광주시경안안길 노상주차장노상경기도 광주시 경안동 72-98 외2경기도 광주시 경안동 72-98 외237.41202127.255923경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
36경기도광주시광주시광주역세권 노외주차장노외경기도 광주시 역동 176-68경기도 광주시 역동 176-6837.400305127.252864경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
37경기도광주시광주시송정동 마을 노외주차장노외경기도 광주시 송정동 581경기도 광주시 송정동 58137.416222127.253407경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
38경기도광주시광주시곤지암역세권 노외주차장노외경기도 광주시 곤지암리 367-18경기도 광주시 곤지암리 367-1837.351148127.345287경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방
39경기도광주시광주시도담이 노상주차장노상경기도 광주시 매산동 산156경기도 광주시 매산동 산15637.359699127.245297경기도 광주도시관리공사031-769-044800:0023:5900:0023:5900:0023:5900:0023:59종일개방