Overview

Dataset statistics

Number of variables31
Number of observations27
Missing cells26
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory263.7 B

Variable types

Text5
Categorical22
Numeric4

Dataset

Description대구광역시_수성구_주차장정보_20200217
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3071474&dataSetDetailId=307147418657f8c83fc0&provdMethod=FILE

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
특기사항 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공휴일운영시작시각 is highly imbalanced (61.8%)Imbalance
특기사항 has 26 (96.3%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
추가단위요금 has 11 (40.7%) zerosZeros

Reproduction

Analysis started2024-04-20 21:25:53.089935
Analysis finished2024-04-20 21:25:53.668812
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T06:25:54.213010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row155-2-000001
2nd row155-2-000002
3rd row155-2-000003
4th row155-2-000004
5th row155-2-000005
ValueCountFrequency (%)
155-2-000001 1
 
3.7%
155-2-000014 1
 
3.7%
155-2-000026 1
 
3.7%
155-2-000025 1
 
3.7%
155-1-000022 1
 
3.7%
155-1-000021 1
 
3.7%
155-1-000020 1
 
3.7%
155-1-000019 1
 
3.7%
155-1-000018 1
 
3.7%
155-2-000017 1
 
3.7%
Other values (17) 17
63.0%
2024-04-21T06:25:55.388757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
36.7%
5 57
17.6%
- 54
16.7%
1 47
 
14.5%
2 31
 
9.6%
3 3
 
0.9%
4 3
 
0.9%
6 3
 
0.9%
7 3
 
0.9%
8 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
44.1%
5 57
21.1%
1 47
 
17.4%
2 31
 
11.5%
3 3
 
1.1%
4 3
 
1.1%
6 3
 
1.1%
7 3
 
1.1%
8 2
 
0.7%
9 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
36.7%
5 57
17.6%
- 54
16.7%
1 47
 
14.5%
2 31
 
9.6%
3 3
 
0.9%
4 3
 
0.9%
6 3
 
0.9%
7 3
 
0.9%
8 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
36.7%
5 57
17.6%
- 54
16.7%
1 47
 
14.5%
2 31
 
9.6%
3 3
 
0.9%
4 3
 
0.9%
6 3
 
0.9%
7 3
 
0.9%
8 2
 
0.6%

주차장명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T06:25:56.206355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length9.6666667
Min length7

Characters and Unicode

Total characters261
Distinct characters56
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

Unique27 ?
Unique (%)100.0%

Sample

1st row어린이회관공영주차장
2nd row지산공영주차장
3rd row시지공영주차장
4th row신매1공영주차장
5th row신매2공영주차장
ValueCountFrequency (%)
어린이회관공영주차장 1
 
3.3%
지산공영주차장 1
 
3.3%
내 1
 
3.3%
단독주택지 1
 
3.3%
공영주차장(수성명품 1
 
3.3%
범어2동 1
 
3.3%
이천동공영주차장 1
 
3.3%
대구여고북편노상공영주차장 1
 
3.3%
범어천로노상공영4주차장 1
 
3.3%
범어천로노상공영3주차장 1
 
3.3%
Other values (20) 20
66.7%
2024-04-21T06:25:57.430108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 28
 
10.7%
주 28
 
10.7%
차 27
 
10.3%
공 27
 
10.3%
영 27
 
10.3%
동 10
 
3.8%
상 9
 
3.4%
노 8
 
3.1%
어 7
 
2.7%
범 6
 
2.3%
Other values (46) 84
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
93.1%
Decimal Number 13
 
5.0%
Space Separator 3
 
1.1%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 28
11.5%
주 28
11.5%
차 27
11.1%
공 27
11.1%
영 27
11.1%
동 10
 
4.1%
상 9
 
3.7%
노 8
 
3.3%
어 7
 
2.9%
범 6
 
2.5%
Other values (39) 66
27.2%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
1 4
30.8%
3 3
23.1%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
93.1%
Common 18
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 28
11.5%
주 28
11.5%
차 27
11.1%
공 27
11.1%
영 27
11.1%
동 10
 
4.1%
상 9
 
3.7%
노 8
 
3.3%
어 7
 
2.9%
범 6
 
2.5%
Other values (39) 66
27.2%
Common
ValueCountFrequency (%)
2 5
27.8%
1 4
22.2%
3
16.7%
3 3
16.7%
( 1
 
5.6%
4 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
93.1%
ASCII 18
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 28
11.5%
주 28
11.5%
차 27
11.1%
공 27
11.1%
영 27
11.1%
동 10
 
4.1%
상 9
 
3.7%
노 8
 
3.3%
어 7
 
2.9%
범 6
 
2.5%
Other values (39) 66
27.2%
ASCII
ValueCountFrequency (%)
2 5
27.8%
1 4
22.2%
3
16.7%
3 3
16.7%
( 1
 
5.6%
4 1
 
5.6%
) 1
 
5.6%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
공영
27 

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 27
100.0%

Length

2024-04-21T06:25:57.649532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:25:57.802688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 27
100.0%

주차장유형
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
노외
20 
노상
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 20
74.1%
노상 7
 
25.9%

Length

2024-04-21T06:25:57.964900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:25:58.125512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 20
74.1%
노상 7
 
25.9%

소재지도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T06:25:58.759969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.074074
Min length16

Characters and Unicode

Total characters515
Distinct characters47
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

Unique27 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 동대구로 176
2nd row대구광역시 수성구 용학로 267
3rd row대구광역시 수성구 달구벌대로637길 10
4th row대구광역시 수성구 신매로19길 40
5th row대구광역시 수성구 신매로19길 56
ValueCountFrequency (%)
대구광역시 27
24.8%
수성구 27
24.8%
범어천로 3
 
2.8%
국채보상로 3
 
2.8%
45 2
 
1.8%
10 2
 
1.8%
신매로19길 2
 
1.8%
40 2
 
1.8%
69-1 1
 
0.9%
용학로40길 1
 
0.9%
Other values (39) 39
35.8%
2024-04-21T06:25:59.678981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
15.9%
구 60
 
11.7%
대 33
 
6.4%
수 31
 
6.0%
시 28
 
5.4%
광 27
 
5.2%
역 27
 
5.2%
성 27
 
5.2%
로 26
 
5.0%
1 16
 
3.1%
Other values (37) 158
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
64.7%
Decimal Number 97
 
18.8%
Space Separator 82
 
15.9%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
18.0%
대 33
9.9%
수 31
9.3%
시 28
8.4%
광 27
8.1%
역 27
8.1%
성 27
8.1%
로 26
7.8%
길 14
 
4.2%
달 4
 
1.2%
Other values (25) 56
16.8%
Decimal Number
ValueCountFrequency (%)
1 16
16.5%
2 13
13.4%
4 12
12.4%
5 10
10.3%
6 10
10.3%
9 9
9.3%
0 8
8.2%
7 7
7.2%
3 6
 
6.2%
8 6
 
6.2%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
64.7%
Common 182
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
18.0%
대 33
9.9%
수 31
9.3%
시 28
8.4%
광 27
8.1%
역 27
8.1%
성 27
8.1%
로 26
7.8%
길 14
 
4.2%
달 4
 
1.2%
Other values (25) 56
16.8%
Common
ValueCountFrequency (%)
82
45.1%
1 16
 
8.8%
2 13
 
7.1%
4 12
 
6.6%
5 10
 
5.5%
6 10
 
5.5%
9 9
 
4.9%
0 8
 
4.4%
7 7
 
3.8%
3 6
 
3.3%
Other values (2) 9
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
64.7%
ASCII 182
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
45.1%
1 16
 
8.8%
2 13
 
7.1%
4 12
 
6.6%
5 10
 
5.5%
6 10
 
5.5%
9 9
 
4.9%
0 8
 
4.4%
7 7
 
3.8%
3 6
 
3.3%
Other values (2) 9
 
4.9%
Hangul
ValueCountFrequency (%)
구 60
18.0%
대 33
9.9%
수 31
9.3%
시 28
8.4%
광 27
8.1%
역 27
8.1%
성 27
8.1%
로 26
7.8%
길 14
 
4.2%
달 4
 
1.2%
Other values (25) 56
16.8%

소재지지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T06:26:00.309275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.925926
Min length17

Characters and Unicode

Total characters511
Distinct characters41
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

Unique27 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 황금동 626
2nd row대구광역시 수성구 지산동 1274
3rd row대구광역시 수성구 매호동 1330-2
4th row대구광역시 수성구 신매동 567-35
5th row대구광역시 수성구 신매동 567-42
ValueCountFrequency (%)
대구광역시 27
25.5%
수성구 27
25.5%
범어동 5
 
4.7%
황금동 3
 
2.8%
만촌동 3
 
2.8%
신매동 3
 
2.8%
지산동 2
 
1.9%
노변동 2
 
1.9%
985-98 1
 
0.9%
1192-11 1
 
0.9%
Other values (32) 32
30.2%
2024-04-21T06:26:01.145794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
15.5%
구 54
 
10.6%
수 29
 
5.7%
성 28
 
5.5%
대 27
 
5.3%
광 27
 
5.3%
역 27
 
5.3%
시 27
 
5.3%
동 27
 
5.3%
- 22
 
4.3%
Other values (31) 164
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
57.9%
Decimal Number 114
 
22.3%
Space Separator 79
 
15.5%
Dash Punctuation 22
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 54
18.2%
수 29
9.8%
성 28
9.5%
대 27
9.1%
광 27
9.1%
역 27
9.1%
시 27
9.1%
동 27
9.1%
범 6
 
2.0%
어 6
 
2.0%
Other values (19) 38
12.8%
Decimal Number
ValueCountFrequency (%)
1 22
19.3%
2 14
12.3%
4 13
11.4%
7 12
10.5%
5 11
9.6%
6 11
9.6%
3 9
7.9%
8 8
 
7.0%
9 8
 
7.0%
0 6
 
5.3%
Space Separator
ValueCountFrequency (%)
79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
57.9%
Common 215
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 54
18.2%
수 29
9.8%
성 28
9.5%
대 27
9.1%
광 27
9.1%
역 27
9.1%
시 27
9.1%
동 27
9.1%
범 6
 
2.0%
어 6
 
2.0%
Other values (19) 38
12.8%
Common
ValueCountFrequency (%)
79
36.7%
- 22
 
10.2%
1 22
 
10.2%
2 14
 
6.5%
4 13
 
6.0%
7 12
 
5.6%
5 11
 
5.1%
6 11
 
5.1%
3 9
 
4.2%
8 8
 
3.7%
Other values (2) 14
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
57.9%
ASCII 215
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
36.7%
- 22
 
10.2%
1 22
 
10.2%
2 14
 
6.5%
4 13
 
6.0%
7 12
 
5.6%
5 11
 
5.1%
6 11
 
5.1%
3 9
 
4.2%
8 8
 
3.7%
Other values (2) 14
 
6.5%
Hangul
ValueCountFrequency (%)
구 54
18.2%
수 29
9.8%
성 28
9.5%
대 27
9.1%
광 27
9.1%
역 27
9.1%
시 27
9.1%
동 27
9.1%
범 6
 
2.0%
어 6
 
2.0%
Other values (19) 38
12.8%

주차구획수
Real number (ℝ)

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.555556
Minimum5
Maximum643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T06:26:01.392218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.2
Q129.5
median62
Q3110.5
95-th percentile215.3
Maximum643
Range638
Interquartile range (IQR)81

Descriptive statistics

Standard deviation123.59902
Coefficient of variation (CV)1.3499893
Kurtosis15.969469
Mean91.555556
Median Absolute Deviation (MAD)36
Skewness3.6836753
Sum2472
Variance15276.718
MonotonicityNot monotonic
2024-04-21T06:26:01.611073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
62 2
 
7.4%
31 2
 
7.4%
195 1
 
3.7%
28 1
 
3.7%
14 1
 
3.7%
26 1
 
3.7%
72 1
 
3.7%
125 1
 
3.7%
98 1
 
3.7%
108 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
5 1
3.7%
10 1
3.7%
14 1
3.7%
17 1
3.7%
22 1
3.7%
26 1
3.7%
28 1
3.7%
31 2
7.4%
35 1
3.7%
42 1
3.7%
ValueCountFrequency (%)
643 1
3.7%
224 1
3.7%
195 1
3.7%
143 1
3.7%
132 1
3.7%
125 1
3.7%
113 1
3.7%
108 1
3.7%
98 1
3.7%
72 1
3.7%

급지구분
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
2
12 
3
12 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 12
44.4%
3 12
44.4%
1 3
 
11.1%

Length

2024-04-21T06:26:01.835035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:02.089356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
44.4%
3 12
44.4%
1 3
 
11.1%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
미시행
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 27
100.0%

Length

2024-04-21T06:26:02.420805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:02.718531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 27
100.0%

운영요일
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
평일+토요일+공휴일
14 
평일+토요일
7 
평일
6 

Length

Max length10
Median length10
Mean length7.1851852
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 14
51.9%
평일+토요일 7
25.9%
평일 6
22.2%

Length

2024-04-21T06:26:02.936937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:03.138525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 14
51.9%
평일+토요일 7
25.9%
평일 6
22.2%

평일운영시작시각
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
00:00
11 
08:00
9 
09:00
4 
10:00
2 
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row07:00
2nd row08:00
3rd row08:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
00:00 11
40.7%
08:00 9
33.3%
09:00 4
 
14.8%
10:00 2
 
7.4%
07:00 1
 
3.7%

Length

2024-04-21T06:26:03.323315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:03.504357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 11
40.7%
08:00 9
33.3%
09:00 4
 
14.8%
10:00 2
 
7.4%
07:00 1
 
3.7%

평일운영종료시각
Categorical

Distinct8
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size344.0 B
23:59
11 
20:00
6 
18:00
4 
21:00
2 
19:00
 
1
Other values (3)
3 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row19:00
2nd row23:00
3rd row22:00
4th row21:00
5th row21:00

Common Values

ValueCountFrequency (%)
23:59 11
40.7%
20:00 6
22.2%
18:00 4
 
14.8%
21:00 2
 
7.4%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%
17:00 1
 
3.7%

Length

2024-04-21T06:26:03.700548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:03.898435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 11
40.7%
20:00 6
22.2%
18:00 4
 
14.8%
21:00 2
 
7.4%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%
17:00 1
 
3.7%

토요일운영시작시각
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
00:00
20 
08:00
6 
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row07:00
2nd row08:00
3rd row08:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 20
74.1%
08:00 6
 
22.2%
07:00 1
 
3.7%

Length

2024-04-21T06:26:04.110831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:04.463272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 20
74.1%
08:00 6
 
22.2%
07:00 1
 
3.7%

토요일운영종료시각
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
23:59
12 
00:00
8 
20:00
4 
19:00
 
1
23:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row19:00
2nd row23:00
3rd row22:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
23:59 12
44.4%
00:00 8
29.6%
20:00 4
 
14.8%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%

Length

2024-04-21T06:26:04.637805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:04.819423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 12
44.4%
00:00 8
29.6%
20:00 4
 
14.8%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
00:00
24 
08:00
 
2
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row07:00
2nd row08:00
3rd row08:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 24
88.9%
08:00 2
 
7.4%
07:00 1
 
3.7%

Length

2024-04-21T06:26:05.017123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:05.184190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 24
88.9%
08:00 2
 
7.4%
07:00 1
 
3.7%

공휴일운영종료시각
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
00:00
13 
23:59
11 
19:00
 
1
23:00
 
1
22:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row19:00
2nd row23:00
3rd row22:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 13
48.1%
23:59 11
40.7%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%

Length

2024-04-21T06:26:05.357424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:05.535362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 13
48.1%
23:59 11
40.7%
19:00 1
 
3.7%
23:00 1
 
3.7%
22:00 1
 
3.7%

요금정보
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
혼합
17 
무료
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
혼합 17
63.0%
무료 10
37.0%

Length

2024-04-21T06:26:05.738191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:05.962823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혼합 17
63.0%
무료 10
37.0%

주차기본시간
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
30
13 
0
11 
120
3 

Length

Max length3
Median length2
Mean length1.7037037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row120
2nd row120
3rd row120
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 13
48.1%
0 11
40.7%
120 3
 
11.1%

Length

2024-04-21T06:26:06.187995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:06.409675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 13
48.1%
0 11
40.7%
120 3
 
11.1%

주차기본요금
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
0
11 
600
6 
1000
4 
300
4 
400
2 

Length

Max length4
Median length3
Mean length2.3333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1000
2nd row1000
3rd row1000
4th row300
5th row300

Common Values

ValueCountFrequency (%)
0 11
40.7%
600 6
22.2%
1000 4
 
14.8%
300 4
 
14.8%
400 2
 
7.4%

Length

2024-04-21T06:26:06.636539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:06.865810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 11
40.7%
600 6
22.2%
1000 4
 
14.8%
300 4
 
14.8%
400 2
 
7.4%

추가단위시간
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
10
13 
0
11 
120
3 

Length

Max length3
Median length2
Mean length1.7037037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row120
2nd row120
3rd row120
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 13
48.1%
0 11
40.7%
120 3
 
11.1%

Length

2024-04-21T06:26:07.106732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:07.321286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 13
48.1%
0 11
40.7%
120 3
 
11.1%

추가단위요금
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.44444
Minimum0
Maximum2000
Zeros11
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T06:26:07.515106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median150
Q3300
95-th percentile2000
Maximum2000
Range2000
Interquartile range (IQR)300

Descriptive statistics

Standard deviation612.58176
Coefficient of variation (CV)1.7784632
Kurtosis4.4317528
Mean344.44444
Median Absolute Deviation (MAD)150
Skewness2.3728156
Sum9300
Variance375256.41
MonotonicityNot monotonic
2024-04-21T06:26:07.742391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
40.7%
300 6
22.2%
150 4
 
14.8%
2000 3
 
11.1%
200 2
 
7.4%
500 1
 
3.7%
ValueCountFrequency (%)
0 11
40.7%
150 4
 
14.8%
200 2
 
7.4%
300 6
22.2%
500 1
 
3.7%
2000 3
 
11.1%
ValueCountFrequency (%)
2000 3
 
11.1%
500 1
 
3.7%
300 6
22.2%
200 2
 
7.4%
150 4
 
14.8%
0 11
40.7%

1일주차권요금적용시간
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
0
19 
12
6 
9
2 

Length

Max length2
Median length1
Mean length1.2222222
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
70.4%
12 6
 
22.2%
9 2
 
7.4%

Length

2024-04-21T06:26:07.981775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:08.170006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
70.4%
12 6
 
22.2%
9 2
 
7.4%

1일주차권요금
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
0
14 
6000
6 
3000
4 
4000
2 
10000
 
1

Length

Max length5
Median length1
Mean length2.4814815
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row0
2nd row0
3rd row0
4th row3000
5th row3000

Common Values

ValueCountFrequency (%)
0 14
51.9%
6000 6
22.2%
3000 4
 
14.8%
4000 2
 
7.4%
10000 1
 
3.7%

Length

2024-04-21T06:26:08.385662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:08.625851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
51.9%
6000 6
22.2%
3000 4
 
14.8%
4000 2
 
7.4%
10000 1
 
3.7%

월정기권요금
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
0
15 
80000
6 
40000
4 
<NA>
 
1
100000
 
1

Length

Max length6
Median length1
Mean length2.7777778
Min length1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 15
55.6%
80000 6
 
22.2%
40000 4
 
14.8%
<NA> 1
 
3.7%
100000 1
 
3.7%

Length

2024-04-21T06:26:08.872354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:09.065266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
55.6%
80000 6
 
22.2%
40000 4
 
14.8%
na 1
 
3.7%
100000 1
 
3.7%

결제방법
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size344.0 B
<NA>
11 
현금
8 
카드
6 
현금,카드
2 

Length

Max length5
Median length2
Mean length3.037037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
40.7%
현금 8
29.6%
카드 6
22.2%
현금,카드 2
 
7.4%

Length

2024-04-21T06:26:09.278924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:09.474577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
40.7%
현금 8
29.6%
카드 6
22.2%
현금,카드 2
 
7.4%

특기사항
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size344.0 B
2024-04-21T06:26:09.897322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters19
Distinct characters12
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

Unique1 ?
Unique (%)100.0%

Sample

1st row2020. 3. 2일부터 유료 전환
ValueCountFrequency (%)
2020 1
20.0%
3 1
20.0%
2일부터 1
20.0%
유료 1
20.0%
전환 1
20.0%
2024-04-21T06:26:10.598500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
21.1%
2 3
15.8%
0 2
10.5%
. 2
10.5%
3 1
 
5.3%
일 1
 
5.3%
부 1
 
5.3%
터 1
 
5.3%
유 1
 
5.3%
료 1
 
5.3%
Other values (2) 2
10.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
36.8%
Decimal Number 6
31.6%
Space Separator 4
21.1%
Other Punctuation 2
 
10.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
14.3%
부 1
14.3%
터 1
14.3%
유 1
14.3%
료 1
14.3%
전 1
14.3%
환 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
0 2
33.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
63.2%
Hangul 7
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
14.3%
부 1
14.3%
터 1
14.3%
유 1
14.3%
료 1
14.3%
전 1
14.3%
환 1
14.3%
Common
ValueCountFrequency (%)
4
33.3%
2 3
25.0%
0 2
16.7%
. 2
16.7%
3 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
63.2%
Hangul 7
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
33.3%
2 3
25.0%
0 2
16.7%
. 2
16.7%
3 1
 
8.3%
Hangul
ValueCountFrequency (%)
일 1
14.3%
부 1
14.3%
터 1
14.3%
유 1
14.3%
료 1
14.3%
전 1
14.3%
환 1
14.3%

관리기관명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
대구광역시 수성구청
18 
대구광역시 시설공단
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 시설공단
2nd row대구광역시 시설공단
3rd row대구광역시 시설공단
4th row대구광역시 시설공단
5th row대구광역시 시설공단

Common Values

ValueCountFrequency (%)
대구광역시 수성구청 18
66.7%
대구광역시 시설공단 9
33.3%

Length

2024-04-21T06:26:10.813604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:10.981219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 27
50.0%
수성구청 18
33.3%
시설공단 9
 
16.7%

전화번호
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
053-666-3043
18 
053-603-1198
9 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-603-1198
2nd row053-603-1198
3rd row053-603-1198
4th row053-603-1198
5th row053-603-1198

Common Values

ValueCountFrequency (%)
053-666-3043 18
66.7%
053-603-1198 9
33.3%

Length

2024-04-21T06:26:11.154725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:11.322018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-666-3043 18
66.7%
053-603-1198 9
33.3%

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.846518
Minimum35.820935
Maximum35.86808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T06:26:11.497329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.820935
5-th percentile35.821978
Q135.837877
median35.845896
Q335.857931
95-th percentile35.866407
Maximum35.86808
Range0.04714538
Interquartile range (IQR)0.020054059

Descriptive statistics

Standard deviation0.014198975
Coefficient of variation (CV)0.00039610472
Kurtosis-0.84473423
Mean35.846518
Median Absolute Deviation (MAD)0.00890633
Skewness-0.1519404
Sum967.85599
Variance0.0002016109
MonotonicityNot monotonic
2024-04-21T06:26:11.745403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.8471341349 1
 
3.7%
35.82093452 1
 
3.7%
35.8376661 1
 
3.7%
35.8659749 1
 
3.7%
35.84589591 1
 
3.7%
35.8565881587 1
 
3.7%
35.8588171 1
 
3.7%
35.8503722 1
 
3.7%
35.8531685 1
 
3.7%
35.8602591 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.82093452 1
3.7%
35.82108495 1
3.7%
35.8240606702 1
3.7%
35.8270283792 1
3.7%
35.83698958 1
3.7%
35.8374745 1
3.7%
35.8376661 1
3.7%
35.8380876819 1
3.7%
35.8394418 1
3.7%
35.8395971717 1
3.7%
ValueCountFrequency (%)
35.8680799 1
3.7%
35.8664229238 1
3.7%
35.8663694 1
3.7%
35.8659749 1
3.7%
35.8639801396 1
3.7%
35.8602591 1
3.7%
35.8588171 1
3.7%
35.8570448 1
3.7%
35.8565881587 1
3.7%
35.8531685 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65153
Minimum128.61068
Maximum128.71282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T06:26:11.960147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61068
5-th percentile128.61655
Q1128.62366
median128.63661
Q3128.68435
95-th percentile128.70747
Maximum128.71282
Range0.1021408
Interquartile range (IQR)0.060685773

Descriptive statistics

Standard deviation0.035371901
Coefficient of variation (CV)0.00027494348
Kurtosis-1.1232173
Mean128.65153
Median Absolute Deviation (MAD)0.0144405
Skewness0.75876795
Sum3473.5914
Variance0.0012511714
MonotonicityNot monotonic
2024-04-21T06:26:12.180979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
128.6279477979 1
 
3.7%
128.6376141 1
 
3.7%
128.6155463 1
 
3.7%
128.6366051 1
 
3.7%
128.6672449 1
 
3.7%
128.6298635255 1
 
3.7%
128.6221434 1
 
3.7%
128.6241465 1
 
3.7%
128.6231827035 1
 
3.7%
128.6221646 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
128.6106806 1
3.7%
128.6155463 1
3.7%
128.6188893 1
3.7%
128.6221434 1
3.7%
128.6221646 1
3.7%
128.6228289994 1
3.7%
128.6231827035 1
3.7%
128.6241465 1
3.7%
128.6252321 1
3.7%
128.6279477979 1
3.7%
ValueCountFrequency (%)
128.7128214 1
3.7%
128.707541 1
3.7%
128.7073187353 1
3.7%
128.7066693 1
3.7%
128.7054723 1
3.7%
128.7037828864 1
3.7%
128.6943617 1
3.7%
128.6743390496 1
3.7%
128.6672449 1
3.7%
128.6446054 1
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
2020-02-11
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-02-11
2nd row2020-02-11
3rd row2020-02-11
4th row2020-02-11
5th row2020-02-11

Common Values

ValueCountFrequency (%)
2020-02-11 27
100.0%

Length

2024-04-21T06:26:12.392859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:26:12.550046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-02-11 27
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0155-2-000001어린이회관공영주차장공영노외대구광역시 수성구 동대구로 176대구광역시 수성구 황금동 6261952미시행평일+토요일+공휴일07:0019:0007:0019:0007:0019:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.847134128.6279482020-02-11
1155-2-000002지산공영주차장공영노외대구광역시 수성구 용학로 267대구광역시 수성구 지산동 12741323미시행평일+토요일+공휴일08:0023:0008:0023:0008:0023:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.820935128.6376142020-02-11
2155-2-000003시지공영주차장공영노외대구광역시 수성구 달구벌대로637길 10대구광역시 수성구 매호동 1330-21432미시행평일+토요일+공휴일08:0022:0008:0022:0008:0022:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.841519128.7073192020-02-11
3155-2-000004신매1공영주차장공영노외대구광역시 수성구 신매로19길 40대구광역시 수성구 신매동 567-35422미시행평일+토요일10:0021:0000:0000:0000:0000:00혼합3030010150030000카드<NA>대구광역시 시설공단053-603-119835.839442128.7075412020-02-11
4155-2-000005신매2공영주차장공영노외대구광역시 수성구 신매로19길 56대구광역시 수성구 신매동 567-42622미시행평일+토요일10:0021:0000:0000:0000:0000:00혼합303001015003000<NA>카드<NA>대구광역시 시설공단053-603-119835.839597128.7066692020-02-11
5155-2-000006신매3공영주차장공영노외대구광역시 수성구 고산로 75대구광역시 수성구 노변동 71-1702미시행평일+토요일08:0017:0000:0000:0000:0000:00혼합30300101500300040000카드<NA>대구광역시 시설공단053-603-119835.837474128.7037832020-02-11
6155-2-000008외환들공영주차장공영노외대구광역시 수성구 미술관로 40대구광역시 수성구 삼덕동 3746433미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 시설공단053-603-119835.827028128.6743392020-02-11
7155-1-000023상록로노상공영주차장공영노상대구광역시 수성구 국채보상로 846대구광역시 수성구 범어동 20171131미시행평일09:0018:0000:0000:0000:0000:00혼합30100010500010000100000현금<NA>대구광역시 시설공단053-603-119835.866423128.6228292020-02-11
8155-1-000024중동시장노상공영주차장공영노상대구광역시 수성구 청수로 23대구광역시 수성구 중동 416-1352미시행평일09:0018:0000:0000:0000:0000:00혼합30300101500300040000현금<NA>대구광역시 시설공단053-603-119835.841182128.6106812020-02-11
9155-2-000009노변공영주차장공영노외대구광역시 수성구 시지로 66대구광역시 수성구 노변동 569643미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 수성구청053-666-304335.838088128.6943622020-02-11
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
17155-2-000016욱수골공영주차장공영노외대구광역시 수성구 욱수길 62대구광역시 수성구 욱수동 451-22243미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 수성구청053-666-304335.824061128.7054722020-02-11
18155-2-000017신매동공영주차장공영노외대구광역시 수성구 욱수천로 99대구광역시 수성구 신매동 170-2493미시행평일09:0018:0000:0000:0000:0000:00혼합30400102009400040000현금,카드<NA>대구광역시 수성구청053-666-304335.83699128.7128212020-02-11
19155-1-000018범어천로노상공영1주차장공영노상대구광역시 수성구 범어천로 151대구광역시 수성구 수성동4가 985-981081미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.860259128.6221652020-02-11
20155-1-000019범어천로노상공영2주차장공영노상대구광역시 수성구 범어천로 69-1대구광역시 수성구 범어동 805-14982미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.853169128.6231832020-02-11
21155-1-000020범어천로노상공영3주차장공영노상대구광역시 수성구 동대구로45길 11대구광역시 수성구 황금동672-11252미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.850372128.6241462020-02-11
22155-1-000021범어천로노상공영4주차장공영노상대구광역시 수성구 범어천로 135대구광역시 수성구 범어동881-7311미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.858817128.6221432020-02-11
23155-1-000022대구여고북편노상공영주차장공영노상대구광역시 수성구 달구벌대로488길 17대구광역시 수성구 범어동 238-41722미시행평일08:0020:0000:0000:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.856588128.6298642020-02-11
24155-2-000025이천동공영주차장공영노외대구광역시 수성구 달구벌대로568길 27-3대구광역시 수성구 이천동 95-3263미시행평일+토요일+공휴일00:0023:5900:0023:5900:0000:00혼합0000000<NA><NA>대구광역시 수성구청053-666-304335.845896128.6672452020-02-11
25155-2-000026범어2동 공영주차장(수성명품 단독주택지 내)공영노외대구광역시 수성구 국채보상로194길 22대구광역시 수성구 범어동 427-1143미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 수성구청053-666-304335.865975128.6366052020-02-11
26155-2-000027상동공영주차장공영노외대구광역시 수성구 들안로19길 50대구광역시 수성구 상동 44-5312미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA>2020. 3. 2일부터 유료 전환대구광역시 수성구청053-666-304335.837666128.6155462020-02-11