Overview

Dataset statistics

Number of variables31
Number of observations84
Missing cells158
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.4 KiB
Average record size in memory260.6 B

Variable types

Text4
Categorical12
Numeric7
DateTime7
Unsupported1

Dataset

Description대구광역시_주차장정보_20200101
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3080667&dataSetDetailId=308066718f120eef8267&provdMethod=FILE

Alerts

주차장구분 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부제시행구분 is highly imbalanced (90.7%)Imbalance
요금정보 is highly imbalanced (83.8%)Imbalance
주차기본시간 is highly imbalanced (68.1%)Imbalance
추가단위시간 is highly imbalanced (65.6%)Imbalance
1일주차권요금적용시간 is highly imbalanced (50.9%)Imbalance
결제방법 is highly imbalanced (50.0%)Imbalance
추가단위요금 has 5 (6.0%) missing valuesMissing
1일주차권요금 has 35 (41.7%) missing valuesMissing
월정기권요금 has 34 (40.5%) missing valuesMissing
특기사항 has 84 (100.0%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주차기본요금 has 1 (1.2%) zerosZeros
추가단위요금 has 1 (1.2%) zerosZeros
1일주차권요금 has 9 (10.7%) zerosZeros
월정기권요금 has 18 (21.4%) zerosZeros

Reproduction

Analysis started2023-12-10 19:30:11.287720
Analysis finished2023-12-10 19:30:12.159798
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T04:30:12.431289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1008
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row156-2-000014
2nd row156-2-000013
3rd row156-1-000015
4th row150-2-000001
5th row150-1-000002
ValueCountFrequency (%)
156-2-000014 1
 
1.2%
154-2-000025 1
 
1.2%
156-2-000006 1
 
1.2%
156-2-000005 1
 
1.2%
156-2-000004 1
 
1.2%
156-2-000003 1
 
1.2%
156-2-000002 1
 
1.2%
154-2-000027 1
 
1.2%
154-1-000012 1
 
1.2%
154-1-000011 1
 
1.2%
Other values (74) 74
88.1%
2023-12-11T04:30:12.984741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 397
39.4%
1 173
17.2%
- 168
16.7%
5 104
 
10.3%
2 70
 
6.9%
4 39
 
3.9%
6 22
 
2.2%
3 15
 
1.5%
7 8
 
0.8%
9 6
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
83.3%
Dash Punctuation 168
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 397
47.3%
1 173
20.6%
5 104
 
12.4%
2 70
 
8.3%
4 39
 
4.6%
6 22
 
2.6%
3 15
 
1.8%
7 8
 
1.0%
9 6
 
0.7%
8 6
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 397
39.4%
1 173
17.2%
- 168
16.7%
5 104
 
10.3%
2 70
 
6.9%
4 39
 
3.9%
6 22
 
2.2%
3 15
 
1.5%
7 8
 
0.8%
9 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 397
39.4%
1 173
17.2%
- 168
16.7%
5 104
 
10.3%
2 70
 
6.9%
4 39
 
3.9%
6 22
 
2.2%
3 15
 
1.5%
7 8
 
0.8%
9 6
 
0.6%

주차장명
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T04:30:13.369656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.4880952
Min length5

Characters and Unicode

Total characters713
Distinct characters140
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row서촌공영주차장
2nd row월촌공원주차장
3rd row달서대로주차장
4th row경상감영공원주차장
5th row삼덕네거리남편주차장
ValueCountFrequency (%)
서촌공영주차장 1
 
1.2%
칠성공영주차장 1
 
1.2%
호림2공영주차장 1
 
1.2%
호림1공영주차장 1
 
1.2%
본리2공영주차장 1
 
1.2%
본리1공영주차장 1
 
1.2%
용산2공영주차장 1
 
1.2%
서변2주차장 1
 
1.2%
칠성시장고가도로밑주차장 1
 
1.2%
신천교고가도로밑주차장 1
 
1.2%
Other values (74) 74
88.1%
2023-12-11T04:30:13.979603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 98
 
13.7%
주 85
 
11.9%
차 84
 
11.8%
공 30
 
4.2%
영 20
 
2.8%
편 19
 
2.7%
동 18
 
2.5%
앞 16
 
2.2%
시 16
 
2.2%
서 14
 
2.0%
Other values (130) 313
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
94.8%
Decimal Number 24
 
3.4%
Uppercase Letter 13
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 98
 
14.5%
주 85
 
12.6%
차 84
 
12.4%
공 30
 
4.4%
영 20
 
3.0%
편 19
 
2.8%
동 18
 
2.7%
앞 16
 
2.4%
시 16
 
2.4%
서 14
 
2.1%
Other values (120) 276
40.8%
Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
C 3
23.1%
R 3
23.1%
E 1
 
7.7%
X 1
 
7.7%
T 1
 
7.7%
S 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 10
41.7%
1 9
37.5%
3 5
20.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
94.8%
Common 24
 
3.4%
Latin 13
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 98
 
14.5%
주 85
 
12.6%
차 84
 
12.4%
공 30
 
4.4%
영 20
 
3.0%
편 19
 
2.8%
동 18
 
2.7%
앞 16
 
2.4%
시 16
 
2.4%
서 14
 
2.1%
Other values (120) 276
40.8%
Latin
ValueCountFrequency (%)
O 3
23.1%
C 3
23.1%
R 3
23.1%
E 1
 
7.7%
X 1
 
7.7%
T 1
 
7.7%
S 1
 
7.7%
Common
ValueCountFrequency (%)
2 10
41.7%
1 9
37.5%
3 5
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
94.8%
ASCII 37
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 98
 
14.5%
주 85
 
12.6%
차 84
 
12.4%
공 30
 
4.4%
영 20
 
3.0%
편 19
 
2.8%
동 18
 
2.7%
앞 16
 
2.4%
시 16
 
2.4%
서 14
 
2.1%
Other values (120) 276
40.8%
ASCII
ValueCountFrequency (%)
2 10
27.0%
1 9
24.3%
3 5
13.5%
O 3
 
8.1%
C 3
 
8.1%
R 3
 
8.1%
E 1
 
2.7%
X 1
 
2.7%
T 1
 
2.7%
S 1
 
2.7%

주차장구분
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 84
100.0%

Length

2023-12-11T04:30:14.202594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:14.369628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 84
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
노외
44 
노상
39 
부설
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
노외 44
52.4%
노상 39
46.4%
부설 1
 
1.2%

Length

2023-12-11T04:30:14.557927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:14.726089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 44
52.4%
노상 39
46.4%
부설 1
 
1.2%

소재지도로명주소
Text

Distinct80
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T04:30:15.199241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length17.583333
Min length14

Characters and Unicode

Total characters1477
Distinct characters101
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

Unique77 ?
Unique (%)91.7%

Sample

1st row대구광역시 달서구 새방로 43
2nd row대구광역시 달서구 상인로 68-4
3rd row대구광역시 달서구 달서대로 411
4th row대구광역시 중구 경상감영길 99
5th row대구광역시 중구 동덕로 80
ValueCountFrequency (%)
대구광역시 84
24.5%
북구 30
 
8.7%
동구 15
 
4.4%
달서구 15
 
4.4%
수성구 10
 
2.9%
칠성시장로 7
 
2.0%
중구 7
 
2.0%
서구 5
 
1.5%
17 4
 
1.2%
5 3
 
0.9%
Other values (126) 163
47.5%
2023-12-11T04:30:15.890536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
17.5%
구 176
 
11.9%
대 99
 
6.7%
시 92
 
6.2%
광 84
 
5.7%
역 84
 
5.7%
로 83
 
5.6%
1 50
 
3.4%
2 41
 
2.8%
북 32
 
2.2%
Other values (91) 477
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 959
64.9%
Space Separator 259
 
17.5%
Decimal Number 251
 
17.0%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 176
18.4%
대 99
10.3%
시 92
9.6%
광 84
 
8.8%
역 84
 
8.8%
로 83
 
8.7%
북 32
 
3.3%
길 30
 
3.1%
서 28
 
2.9%
성 24
 
2.5%
Other values (79) 227
23.7%
Decimal Number
ValueCountFrequency (%)
1 50
19.9%
2 41
16.3%
4 28
11.2%
3 27
10.8%
7 21
8.4%
8 20
 
8.0%
5 20
 
8.0%
0 17
 
6.8%
6 15
 
6.0%
9 12
 
4.8%
Space Separator
ValueCountFrequency (%)
259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 959
64.9%
Common 518
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 176
18.4%
대 99
10.3%
시 92
9.6%
광 84
 
8.8%
역 84
 
8.8%
로 83
 
8.7%
북 32
 
3.3%
길 30
 
3.1%
서 28
 
2.9%
성 24
 
2.5%
Other values (79) 227
23.7%
Common
ValueCountFrequency (%)
259
50.0%
1 50
 
9.7%
2 41
 
7.9%
4 28
 
5.4%
3 27
 
5.2%
7 21
 
4.1%
8 20
 
3.9%
5 20
 
3.9%
0 17
 
3.3%
6 15
 
2.9%
Other values (2) 20
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 959
64.9%
ASCII 518
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
50.0%
1 50
 
9.7%
2 41
 
7.9%
4 28
 
5.4%
3 27
 
5.2%
7 21
 
4.1%
8 20
 
3.9%
5 20
 
3.9%
0 17
 
3.3%
6 15
 
2.9%
Other values (2) 20
 
3.9%
Hangul
ValueCountFrequency (%)
구 176
18.4%
대 99
10.3%
시 92
9.6%
광 84
 
8.8%
역 84
 
8.8%
로 83
 
8.7%
북 32
 
3.3%
길 30
 
3.1%
서 28
 
2.9%
성 24
 
2.5%
Other values (79) 227
23.7%

소재지지번주소
Text

Distinct81
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T04:30:16.337186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.714286
Min length15

Characters and Unicode

Total characters1572
Distinct characters69
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

Unique78 ?
Unique (%)92.9%

Sample

1st row대구광역시 달서구 용산동 438-2
2nd row대구광역시 달서구 상인동 1559
3rd row대구광역시 달서구 호림동 16
4th row대구광역시 중구 포정동 21
5th row대구광역시 중구 대봉동 654-1
ValueCountFrequency (%)
대구광역시 84
25.0%
북구 30
 
8.9%
동구 15
 
4.5%
달서구 15
 
4.5%
수성구 10
 
3.0%
칠성동1가 9
 
2.7%
중구 7
 
2.1%
신천동 7
 
2.1%
서구 5
 
1.5%
노원동3가 5
 
1.5%
Other values (122) 149
44.3%
2023-12-11T04:30:17.000514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
16.0%
구 169
 
10.8%
동 100
 
6.4%
대 88
 
5.6%
1 86
 
5.5%
광 84
 
5.3%
역 84
 
5.3%
시 84
 
5.3%
- 64
 
4.1%
2 51
 
3.2%
Other values (59) 510
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
56.4%
Decimal Number 370
23.5%
Space Separator 252
 
16.0%
Dash Punctuation 64
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 169
19.1%
동 100
11.3%
대 88
9.9%
광 84
9.5%
역 84
9.5%
시 84
9.5%
북 30
 
3.4%
가 23
 
2.6%
서 23
 
2.6%
성 23
 
2.6%
Other values (47) 178
20.1%
Decimal Number
ValueCountFrequency (%)
1 86
23.2%
2 51
13.8%
3 49
13.2%
6 42
11.4%
5 32
 
8.6%
7 31
 
8.4%
4 25
 
6.8%
0 20
 
5.4%
8 19
 
5.1%
9 15
 
4.1%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
56.4%
Common 686
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 169
19.1%
동 100
11.3%
대 88
9.9%
광 84
9.5%
역 84
9.5%
시 84
9.5%
북 30
 
3.4%
가 23
 
2.6%
서 23
 
2.6%
성 23
 
2.6%
Other values (47) 178
20.1%
Common
ValueCountFrequency (%)
252
36.7%
1 86
 
12.5%
- 64
 
9.3%
2 51
 
7.4%
3 49
 
7.1%
6 42
 
6.1%
5 32
 
4.7%
7 31
 
4.5%
4 25
 
3.6%
0 20
 
2.9%
Other values (2) 34
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
56.4%
ASCII 686
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
36.7%
1 86
 
12.5%
- 64
 
9.3%
2 51
 
7.4%
3 49
 
7.1%
6 42
 
6.1%
5 32
 
4.7%
7 31
 
4.5%
4 25
 
3.6%
0 20
 
2.9%
Other values (2) 34
 
5.0%
Hangul
ValueCountFrequency (%)
구 169
19.1%
동 100
11.3%
대 88
9.9%
광 84
9.5%
역 84
9.5%
시 84
9.5%
북 30
 
3.4%
가 23
 
2.6%
서 23
 
2.6%
성 23
 
2.6%
Other values (47) 178
20.1%

주차구획수
Real number (ℝ)

Distinct65
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.55952
Minimum11
Maximum660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:17.235592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile19.15
Q137.5
median61.5
Q3118.25
95-th percentile353.75
Maximum660
Range649
Interquartile range (IQR)80.75

Descriptive statistics

Standard deviation124.06881
Coefficient of variation (CV)1.1980434
Kurtosis9.468219
Mean103.55952
Median Absolute Deviation (MAD)30.5
Skewness2.9504141
Sum8699
Variance15393.069
MonotonicityNot monotonic
2023-12-11T04:30:17.464478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 3
 
3.6%
61 3
 
3.6%
28 3
 
3.6%
70 3
 
3.6%
44 2
 
2.4%
78 2
 
2.4%
73 2
 
2.4%
62 2
 
2.4%
49 2
 
2.4%
25 2
 
2.4%
Other values (55) 60
71.4%
ValueCountFrequency (%)
11 1
 
1.2%
14 1
 
1.2%
16 1
 
1.2%
17 1
 
1.2%
19 1
 
1.2%
20 2
2.4%
25 2
2.4%
26 3
3.6%
28 3
3.6%
30 1
 
1.2%
ValueCountFrequency (%)
660 1
1.2%
643 1
1.2%
514 1
1.2%
437 1
1.2%
356 1
1.2%
341 1
1.2%
215 1
1.2%
207 1
1.2%
204 1
1.2%
202 1
1.2%

급지구분
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
1
31 
2
27 
3
18 
기타
8 

Length

Max length2
Median length1
Mean length1.0952381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row기타
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
36.9%
2 27
32.1%
3 18
21.4%
기타 8
 
9.5%

Length

2023-12-11T04:30:17.683597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:17.849139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
36.9%
2 27
32.1%
3 18
21.4%
기타 8
 
9.5%

부제시행구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
미시행
83 
5부제
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 83
98.8%
5부제 1
 
1.2%

Length

2023-12-11T04:30:18.011561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:18.170428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 83
98.8%
5부제 1
 
1.2%

운영요일
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
평일
33 
평일+토요일+공휴일
28 
평일+토요일
22 
평일+공휴일
 
1

Length

Max length10
Median length6
Mean length5.7619048
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row평일
2nd row평일+토요일+공휴일
3rd row평일+토요일+공휴일
4th row평일+토요일+공휴일
5th row평일

Common Values

ValueCountFrequency (%)
평일 33
39.3%
평일+토요일+공휴일 28
33.3%
평일+토요일 22
26.2%
평일+공휴일 1
 
1.2%

Length

2023-12-11T04:30:18.350121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:18.535594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 33
39.3%
평일+토요일+공휴일 28
33.3%
평일+토요일 22
26.2%
평일+공휴일 1
 
1.2%

평일운영시작시각
Date

Distinct9
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 12:00:00
2023-12-11T04:30:18.698978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:18.836751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

평일운영종료시각
Date

Distinct11
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:59:00
2023-12-11T04:30:18.984400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:19.129566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

토요일운영시작시각
Date

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 10:00:00
2023-12-11T04:30:19.275878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:19.438021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

토요일운영종료시각
Date

Distinct10
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:59:00
2023-12-11T04:30:19.618243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:19.769694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

공휴일운영시작시각
Date

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 10:00:00
2023-12-11T04:30:19.926543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:20.082781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

공휴일운영종료시각
Date

Distinct9
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:59:00
2023-12-11T04:30:20.226104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:20.361110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

요금정보
Categorical

IMBALANCE 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 82
97.6%
무료 2
 
2.4%

Length

2023-12-11T04:30:20.487044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:20.606969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 82
97.6%
무료 2
 
2.4%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
30
76 
60
 
7
0
 
1

Length

Max length2
Median length2
Mean length1.9880952
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row30
2nd row60
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 76
90.5%
60 7
 
8.3%
0 1
 
1.2%

Length

2023-12-11T04:30:20.743306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:20.862574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 76
90.5%
60 7
 
8.3%
0 1
 
1.2%

주차기본요금
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539.28571
Minimum0
Maximum1000
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:20.964414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200
Q1300
median500
Q3600
95-th percentile1000
Maximum1000
Range1000
Interquartile range (IQR)300

Descriptive statistics

Standard deviation284.54904
Coefficient of variation (CV)0.52764061
Kurtosis-0.8667422
Mean539.28571
Median Absolute Deviation (MAD)200
Skewness0.5774046
Sum45300
Variance80968.158
MonotonicityNot monotonic
2023-12-11T04:30:21.094274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1000 19
22.6%
500 18
21.4%
300 17
20.2%
600 11
13.1%
200 10
11.9%
400 7
 
8.3%
800 1
 
1.2%
0 1
 
1.2%
ValueCountFrequency (%)
0 1
 
1.2%
200 10
11.9%
300 17
20.2%
400 7
 
8.3%
500 18
21.4%
600 11
13.1%
800 1
 
1.2%
1000 19
22.6%
ValueCountFrequency (%)
1000 19
22.6%
800 1
 
1.2%
600 11
13.1%
500 18
21.4%
400 7
 
8.3%
300 17
20.2%
200 10
11.9%
0 1
 
1.2%

추가단위시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
10
75 
<NA>
8 
0
 
1

Length

Max length4
Median length2
Mean length2.1785714
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row10
2nd row<NA>
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 75
89.3%
<NA> 8
 
9.5%
0 1
 
1.2%

Length

2023-12-11T04:30:21.280191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:21.732408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 75
89.3%
na 8
 
9.5%
0 1
 
1.2%

추가단위요금
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)11.4%
Missing5
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean274.05063
Minimum0
Maximum1000
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:21.850367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1150
median250
Q3300
95-th percentile500
Maximum1000
Range1000
Interquartile range (IQR)150

Descriptive statistics

Standard deviation191.29464
Coefficient of variation (CV)0.69802662
Kurtosis5.9922031
Mean274.05063
Median Absolute Deviation (MAD)100
Skewness2.1946255
Sum21650
Variance36593.638
MonotonicityNot monotonic
2023-12-11T04:30:22.028724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
250 18
21.4%
150 17
20.2%
500 11
13.1%
300 11
13.1%
100 10
11.9%
200 7
 
8.3%
1000 3
 
3.6%
400 1
 
1.2%
0 1
 
1.2%
(Missing) 5
 
6.0%
ValueCountFrequency (%)
0 1
 
1.2%
100 10
11.9%
150 17
20.2%
200 7
 
8.3%
250 18
21.4%
300 11
13.1%
400 1
 
1.2%
500 11
13.1%
1000 3
 
3.6%
ValueCountFrequency (%)
1000 3
 
3.6%
500 11
13.1%
400 1
 
1.2%
300 11
13.1%
250 18
21.4%
200 7
 
8.3%
150 17
20.2%
100 10
11.9%
0 1
 
1.2%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
75 
0
9 

Length

Max length4
Median length4
Mean length3.6785714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 75
89.3%
0 9
 
10.7%

Length

2023-12-11T04:30:22.197844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:22.360668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
89.3%
0 9
 
10.7%

1일주차권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)18.4%
Missing35
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean3938.7755
Minimum0
Maximum10000
Zeros9
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:22.473039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12000
median4000
Q35000
95-th percentile10000
Maximum10000
Range10000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation2794.4004
Coefficient of variation (CV)0.70945916
Kurtosis-0.055684593
Mean3938.7755
Median Absolute Deviation (MAD)2000
Skewness0.41791743
Sum193000
Variance7808673.5
MonotonicityNot monotonic
2023-12-11T04:30:22.594755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5000 10
 
11.9%
0 9
 
10.7%
3000 8
 
9.5%
6000 7
 
8.3%
4000 5
 
6.0%
2000 4
 
4.8%
10000 4
 
4.8%
8000 1
 
1.2%
1000 1
 
1.2%
(Missing) 35
41.7%
ValueCountFrequency (%)
0 9
10.7%
1000 1
 
1.2%
2000 4
 
4.8%
3000 8
9.5%
4000 5
6.0%
5000 10
11.9%
6000 7
8.3%
8000 1
 
1.2%
10000 4
 
4.8%
ValueCountFrequency (%)
10000 4
 
4.8%
8000 1
 
1.2%
6000 7
8.3%
5000 10
11.9%
4000 5
6.0%
3000 8
9.5%
2000 4
 
4.8%
1000 1
 
1.2%
0 9
10.7%

월정기권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)16.0%
Missing34
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean40600
Minimum0
Maximum100000
Zeros18
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:22.717564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40000
Q360000
95-th percentile100000
Maximum100000
Range100000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation35651.946
Coefficient of variation (CV)0.87812674
Kurtosis-1.3630373
Mean40600
Median Absolute Deviation (MAD)40000
Skewness0.13739631
Sum2030000
Variance1.2710612 × 109
MonotonicityNot monotonic
2023-12-11T04:30:22.852415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 18
21.4%
60000 10
 
11.9%
40000 6
 
7.1%
80000 6
 
7.1%
100000 5
 
6.0%
20000 2
 
2.4%
50000 2
 
2.4%
70000 1
 
1.2%
(Missing) 34
40.5%
ValueCountFrequency (%)
0 18
21.4%
20000 2
 
2.4%
40000 6
 
7.1%
50000 2
 
2.4%
60000 10
11.9%
70000 1
 
1.2%
80000 6
 
7.1%
100000 5
 
6.0%
ValueCountFrequency (%)
100000 5
 
6.0%
80000 6
 
7.1%
70000 1
 
1.2%
60000 10
11.9%
50000 2
 
2.4%
40000 6
 
7.1%
20000 2
 
2.4%
0 18
21.4%

결제방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
현금
67 
현금,카드
16 
0
 
1

Length

Max length5
Median length2
Mean length2.5595238
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row현금
2nd row현금
3rd row현금
4th row현금,카드
5th row현금

Common Values

ValueCountFrequency (%)
현금 67
79.8%
현금,카드 16
 
19.0%
0 1
 
1.2%

Length

2023-12-11T04:30:22.990133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:23.126635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금 67
79.8%
현금,카드 16
 
19.0%
0 1
 
1.2%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

관리기관명
Categorical

CONSTANT 

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

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구시설공단 84
100.0%

Length

2023-12-11T04:30:23.257612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:23.356724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구시설공단 84
100.0%

전화번호
Categorical

Distinct13
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
1577-6446
43 
<NA>
27 
053-382-6446
 
4
053-253-6444
 
1
053-255-4451
 
1
Other values (8)
8 

Length

Max length12
Median length9
Mean length7.8928571
Min length4

Unique

Unique10 ?
Unique (%)11.9%

Sample

1st row<NA>
2nd row<NA>
3rd row1577-6446
4th row053-253-6444
5th row1577-6446

Common Values

ValueCountFrequency (%)
1577-6446 43
51.2%
<NA> 27
32.1%
053-382-6446 4
 
4.8%
053-253-6444 1
 
1.2%
053-255-4451 1
 
1.2%
053-803-5604 1
 
1.2%
053-426-7840 1
 
1.2%
053-982-4857 1
 
1.2%
053-421-7114 1
 
1.2%
053-353-8969 1
 
1.2%
Other values (3) 3
 
3.6%

Length

2023-12-11T04:30:23.494353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1577-6446 43
51.2%
na 27
32.1%
053-382-6446 4
 
4.8%
053-253-6444 1
 
1.2%
053-255-4451 1
 
1.2%
053-803-5604 1
 
1.2%
053-426-7840 1
 
1.2%
053-982-4857 1
 
1.2%
053-421-7114 1
 
1.2%
053-353-8969 1
 
1.2%
Other values (3) 3
 
3.6%

위도
Real number (ℝ)

Distinct80
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.869922
Minimum35.811196
Maximum35.970881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:23.660062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.811196
5-th percentile35.818849
Q135.846601
median35.874582
Q335.885989
95-th percentile35.906126
Maximum35.970881
Range0.1596858
Interquartile range (IQR)0.0393885

Descriptive statistics

Standard deviation0.028529036
Coefficient of variation (CV)0.00079534704
Kurtosis1.0928905
Mean35.869922
Median Absolute Deviation (MAD)0.016022235
Skewness0.19853006
Sum3013.0734
Variance0.00081390588
MonotonicityNot monotonic
2023-12-11T04:30:23.846375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87695466 3
 
3.6%
35.8415711667 2
 
2.4%
35.8974446 2
 
2.4%
35.86295332 1
 
1.2%
35.8825979 1
 
1.2%
35.8111956 1
 
1.2%
35.8433585 1
 
1.2%
35.838619 1
 
1.2%
35.8371079 1
 
1.2%
35.8577921 1
 
1.2%
Other values (70) 70
83.3%
ValueCountFrequency (%)
35.8111956 1
1.2%
35.812763 1
1.2%
35.812764 1
1.2%
35.81403994 1
1.2%
35.818481 1
1.2%
35.82093452 1
1.2%
35.82702838 1
1.2%
35.83082613 1
1.2%
35.8358511 1
1.2%
35.8371079 1
1.2%
ValueCountFrequency (%)
35.9708814 1
1.2%
35.9313747 1
1.2%
35.9213327 1
1.2%
35.9209007 1
1.2%
35.9061485 1
1.2%
35.905999 1
1.2%
35.9042476 1
1.2%
35.9040048 1
1.2%
35.8986438704 1
1.2%
35.8976528 1
1.2%

경도
Real number (ℝ)

Distinct80
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59448
Minimum128.48947
Maximum128.72617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T04:30:24.044695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.48947
5-th percentile128.52248
Q1128.56209
median128.60173
Q3128.62125
95-th percentile128.7057
Maximum128.72617
Range0.236695
Interquartile range (IQR)0.059165914

Descriptive statistics

Standard deviation0.051118231
Coefficient of variation (CV)0.00039751496
Kurtosis0.59655081
Mean128.59448
Median Absolute Deviation (MAD)0.02483595
Skewness0.31341675
Sum10801.937
Variance0.0026130735
MonotonicityNot monotonic
2023-12-11T04:30:24.242419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6043758 3
 
3.6%
128.5295663 2
 
2.4%
128.637719 2
 
2.4%
128.5222116 1
 
1.2%
128.600707 1
 
1.2%
128.5239701 1
 
1.2%
128.4897994 1
 
1.2%
128.489603 1
 
1.2%
128.4894732 1
 
1.2%
128.5295733 1
 
1.2%
Other values (70) 70
83.3%
ValueCountFrequency (%)
128.4894732 1
1.2%
128.489603 1
1.2%
128.4897994 1
1.2%
128.4913926 1
1.2%
128.5222116 1
1.2%
128.5239701 1
1.2%
128.5290805 1
1.2%
128.5295663 2
2.4%
128.5295733 1
1.2%
128.5296809 1
1.2%
ValueCountFrequency (%)
128.7261682 1
1.2%
128.7244971 1
1.2%
128.707541 1
1.2%
128.7062757 1
1.2%
128.7060404 1
1.2%
128.7037829 1
1.2%
128.674339 1
1.2%
128.643325 1
1.2%
128.6401561 1
1.2%
128.637719 2
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2020-01-01 00:00:00
Maximum2020-01-01 00:00:00
2023-12-11T04:30:24.391009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:24.499786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0156-2-000014서촌공영주차장공영노외대구광역시 달서구 새방로 43대구광역시 달서구 용산동 438-2753미시행평일10:0019:0000:0000:0000:0000:00유료3020010100<NA>200020000현금<NA>대구시설공단<NA>35.862953128.5222122020-01-01
1156-2-000013월촌공원주차장공영노외대구광역시 달서구 상인로 68-4대구광역시 달서구 상인동 1559157기타미시행평일+토요일+공휴일08:0020:0008:0020:0008:0020:00유료601000<NA>1000<NA>200020000현금<NA>대구시설공단<NA>35.812763128.5489522020-01-01
2156-1-000015달서대로주차장공영노상대구광역시 달서구 달서대로 411대구광역시 달서구 호림동 161323미시행평일+토요일+공휴일10:0021:0010:0021:0010:0021:00유료3020010100<NA>20000현금<NA>대구시설공단1577-644635.835851128.4913932020-01-01
3150-2-000001경상감영공원주차장공영노외대구광역시 중구 경상감영길 99대구광역시 중구 포정동 21611미시행평일+토요일+공휴일07:3023:0007:3023:0007:3023:00유료3080010400<NA>8000100000현금,카드<NA>대구시설공단053-253-644435.872675128.5916852020-01-01
4150-1-000002삼덕네거리남편주차장공영노상대구광역시 중구 동덕로 80대구광역시 중구 대봉동 654-1691미시행평일09:0018:0000:0000:0000:0000:00유료30100010500<NA><NA><NA>현금<NA>대구시설공단1577-644635.861918128.6035622020-01-01
5150-2-000003서문주차장공영노외대구광역시 중구 큰장로26길 45대구광역시 중구 대신동 115-3786601미시행평일+토요일+공휴일07:0019:3007:0019:3007:0019:30유료3050010250000현금,카드<NA>대구시설공단053-255-445135.868909128.5807812020-01-01
6150-2-000004약령시동편주차장공영노외대구광역시 중구 중앙대로 77길 45대구광역시 중구 종로2가 39-1281미시행평일+토요일+공휴일08:0019:0008:0019:0008:0019:00유료3050010250<NA><NA>0현금<NA>대구시설공단<NA>35.868215128.5909752020-01-01
7150-2-000005약령시서편주차장공영노외대구광역시 중구 남성로 61대구광역시 중구 동성로3가 35-13171미시행평일09:0018:0000:0000:0000:0000:00유료3050010250<NA><NA>0현금<NA>대구시설공단<NA>35.867286128.5933752020-01-01
8151-2-000019공항2공영주차장공영노외대구광역시 동구 해동로 6대구광역시 동구 지저동 669-601663미시행평일+토요일+공휴일06:0023:0006:0023:0006:0023:00유료3040010200<NA>40000현금<NA>대구시설공단<NA>35.897445128.6377192020-01-01
9152-2-000001인동촌시장주차장공영노외대구광역시 서구 북비산로 74길 8대구광역시 서구 비산동 71-3441미시행평일+토요일12:0021:0000:0000:0000:0000:00유료30100010500<NA>1000060000현금<NA>대구시설공단<NA>35.878598128.5739282020-01-01
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
74155-1-000003대구은행범어동지점주차장공영노상대구광역시 수성구 상록로 4대구광역시 수성구 범어동 557-101171미시행평일09:0018:0000:0000:0000:0000:00유료30100010500<NA><NA><NA>현금<NA>대구시설공단1577-644635.859746128.6242792020-01-01
75155-2-000004지산근린공원주차장공영노외대구광역시 수성구 용학로 267대구광역시 수성구 지산동 1274132기타미시행평일+토요일+공휴일08:0023:0008:0023:0008:0023:00유료601000<NA><NA><NA><NA><NA>현금<NA>대구시설공단053-782-791335.820935128.6376142020-01-01
76155-2-000005범물근린공원주차장공영노외대구광역시 수성구 지범로 232대구광역시 수성구 범물동 1328-2128기타미시행평일+공휴일08:0019:0000:0000:0008:0019:00유료601000<NA><NA><NA><NA><NA>현금<NA>대구시설공단<NA>35.818481128.6433252020-01-01
77155-2-000006시지근린공원주차장공영노외대구광역시 수성구 달구벌대로637길 5대구광역시 수성구 매호동 1330-2143기타미시행평일+토요일+공휴일08:0023:5908:0022:0008:0022:00유료601000<NA><NA><NA><NA><NA>현금<NA>대구시설공단053-792-644435.841361128.706042020-01-01
78155-2-000007신매1공영주차장공영노외대구광역시 수성구 신매로19길 40대구광역시 수성구 신매동 568-12422미시행평일+토요일10:0021:0010:0021:0000:0000:00유료3030010150<NA><NA><NA>현금<NA>대구시설공단1577-644635.839442128.7075412020-01-01
79155-2-000008신매2공영주차장공영노외대구광역시 수성구 신매로19길 62대구광역시 수성구 신매동 568622미시행평일+토요일10:0021:0010:0021:0000:0000:00유료3030010150<NA><NA><NA>현금<NA>대구시설공단1577-644635.839685128.7062762020-01-01
80155-2-000009신매3공영주차장공영노외대구광역시 수성구 고산로 75대구광역시 수성구 신매동 566-4702미시행평일+토요일08:0017:0008:0017:0000:0000:00유료3030010150<NA><NA><NA>현금<NA>대구시설공단1577-644635.837474128.7037832020-01-01
81155-2-000010외환들공영주차장공영노외대구광역시 수성구 미술관로 40대구광역시 수성구 삼덕동 360-46433미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료00000000<NA>대구시설공단1577-644635.827028128.6743392020-01-01
82156-2-000001용산1공영주차장공영노외대구광역시 달서구 달구벌대로301길 187-21대구광역시 달서구 용산동 933-4732미시행평일+토요일09:0020:0009:0020:0000:0000:00유료3030010150<NA><NA><NA>현금<NA>대구시설공단<NA>35.857512128.5311872020-01-01
83156-2-000012상인2공영주차장공영노외대구광역시 달서구 상인서로 36대구광역시 달서구 상인동 1528-3702미시행평일+토요일09:0020:0009:0020:0000:0000:00유료3030010150<NA><NA><NA>현금<NA>대구시설공단<NA>35.81404128.544982020-01-01