Overview

Dataset statistics

Number of variables31
Number of observations25
Missing cells28
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory265.3 B

Variable types

Text4
Categorical15
Numeric4
DateTime7
Unsupported1

Dataset

Description대구광역시_수성구_주차장정보_20190601
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15012896&dataSetDetailId=150128961f4c558cd377b_201909091157&provdMethod=FILE

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 3 (12.0%) missing valuesMissing
특기사항 has 25 (100.0%) missing valuesMissing
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported
추가단위요금 has 9 (36.0%) zerosZeros

Reproduction

Analysis started2023-09-29 01:28:47.814956
Analysis finished2023-09-29 01:28:48.507683
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-09-29T01:28:48.751068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
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
 
4.0%
155-2-000013 1
 
4.0%
155-1-000022 1
 
4.0%
155-1-000021 1
 
4.0%
155-1-000020 1
 
4.0%
155-1-000019 1
 
4.0%
155-1-000018 1
 
4.0%
155-2-000017 1
 
4.0%
155-2-000016 1
 
4.0%
155-2-000015 1
 
4.0%
Other values (15) 15
60.0%
2023-09-29T01:28:49.613401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
37.0%
5 53
17.7%
- 50
16.7%
1 45
15.0%
2 27
 
9.0%
3 3
 
1.0%
4 3
 
1.0%
6 2
 
0.7%
8 2
 
0.7%
9 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
44.4%
5 53
21.2%
1 45
18.0%
2 27
 
10.8%
3 3
 
1.2%
4 3
 
1.2%
6 2
 
0.8%
8 2
 
0.8%
9 2
 
0.8%
7 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
37.0%
5 53
17.7%
- 50
16.7%
1 45
15.0%
2 27
 
9.0%
3 3
 
1.0%
4 3
 
1.0%
6 2
 
0.7%
8 2
 
0.7%
9 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
37.0%
5 53
17.7%
- 50
16.7%
1 45
15.0%
2 27
 
9.0%
3 3
 
1.0%
4 3
 
1.0%
6 2
 
0.7%
8 2
 
0.7%
9 2
 
0.7%

주차장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-09-29T01:28:49.973861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.2
Min length7

Characters and Unicode

Total characters230
Distinct characters46
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row어린이회관공영주차장
2nd row지산공영주차장
3rd row시지공영주차장
4th row신매1공영주차장
5th row신매2공영주차장
ValueCountFrequency (%)
어린이회관공영주차장 1
 
4.0%
황금동공영주차장1 1
 
4.0%
대구여고북편노상공영주차장 1
 
4.0%
범어천로노상공영4주차장 1
 
4.0%
범어천로노상공영3주차장 1
 
4.0%
범어천로노상공영2주차장 1
 
4.0%
범어천로노상공영1주차장 1
 
4.0%
신매동공영주차장 1
 
4.0%
욱수골공영주차장 1
 
4.0%
지산한라공영주차장 1
 
4.0%
Other values (15) 15
60.0%
2023-09-29T01:28:51.020848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 26
 
11.3%
공 25
 
10.9%
영 25
 
10.9%
주 25
 
10.9%
차 25
 
10.9%
상 8
 
3.5%
동 8
 
3.5%
노 8
 
3.5%
어 6
 
2.6%
천 5
 
2.2%
Other values (36) 69
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
94.8%
Decimal Number 12
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 26
11.9%
공 25
11.5%
영 25
11.5%
주 25
11.5%
차 25
11.5%
상 8
 
3.7%
동 8
 
3.7%
노 8
 
3.7%
어 6
 
2.8%
천 5
 
2.3%
Other values (32) 57
26.1%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
2 4
33.3%
3 3
25.0%
4 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
94.8%
Common 12
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 26
11.9%
공 25
11.5%
영 25
11.5%
주 25
11.5%
차 25
11.5%
상 8
 
3.7%
동 8
 
3.7%
노 8
 
3.7%
어 6
 
2.8%
천 5
 
2.3%
Other values (32) 57
26.1%
Common
ValueCountFrequency (%)
1 4
33.3%
2 4
33.3%
3 3
25.0%
4 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
94.8%
ASCII 12
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 26
11.9%
공 25
11.5%
영 25
11.5%
주 25
11.5%
차 25
11.5%
상 8
 
3.7%
동 8
 
3.7%
노 8
 
3.7%
어 6
 
2.8%
천 5
 
2.3%
Other values (32) 57
26.1%
ASCII
ValueCountFrequency (%)
1 4
33.3%
2 4
33.3%
3 3
25.0%
4 1
 
8.3%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
공영
25 

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 25
100.0%

Length

2023-09-29T01:28:52.008435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:28:52.550705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 25
100.0%

주차장유형
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
노외
18 
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 18
72.0%
노상 7
 
28.0%

Length

2023-09-29T01:28:53.925967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:28:55.107443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 18
72.0%
노상 7
 
28.0%

소재지도로명주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Memory size332.0 B
2023-09-29T01:28:55.795838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.681818
Min length16

Characters and Unicode

Total characters411
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

Unique22 ?
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 22
24.7%
수성구 22
24.7%
국채보상로 3
 
3.4%
범어천로 3
 
3.4%
신매로19길 2
 
2.2%
40 2
 
2.2%
45 2
 
2.2%
10 2
 
2.2%
11 1
 
1.1%
용학로40길 1
 
1.1%
Other values (29) 29
32.6%
2023-09-29T01:28:57.322747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
16.3%
구 48
 
11.7%
대 26
 
6.3%
수 25
 
6.1%
시 23
 
5.6%
광 22
 
5.4%
역 22
 
5.4%
성 22
 
5.4%
로 21
 
5.1%
1 13
 
3.2%
Other values (37) 122
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
65.0%
Decimal Number 75
 
18.2%
Space Separator 67
 
16.3%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
18.0%
대 26
9.7%
수 25
9.4%
시 23
8.6%
광 22
8.2%
역 22
8.2%
성 22
8.2%
로 21
7.9%
길 10
 
3.7%
채 3
 
1.1%
Other values (25) 45
16.9%
Decimal Number
ValueCountFrequency (%)
1 13
17.3%
4 10
13.3%
2 10
13.3%
6 9
12.0%
5 8
10.7%
0 7
9.3%
3 5
 
6.7%
7 5
 
6.7%
9 5
 
6.7%
8 3
 
4.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
65.0%
Common 144
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
18.0%
대 26
9.7%
수 25
9.4%
시 23
8.6%
광 22
8.2%
역 22
8.2%
성 22
8.2%
로 21
7.9%
길 10
 
3.7%
채 3
 
1.1%
Other values (25) 45
16.9%
Common
ValueCountFrequency (%)
67
46.5%
1 13
 
9.0%
4 10
 
6.9%
2 10
 
6.9%
6 9
 
6.2%
5 8
 
5.6%
0 7
 
4.9%
3 5
 
3.5%
7 5
 
3.5%
9 5
 
3.5%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
65.0%
ASCII 144
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
46.5%
1 13
 
9.0%
4 10
 
6.9%
2 10
 
6.9%
6 9
 
6.2%
5 8
 
5.6%
0 7
 
4.9%
3 5
 
3.5%
7 5
 
3.5%
9 5
 
3.5%
Other values (2) 5
 
3.5%
Hangul
ValueCountFrequency (%)
구 48
18.0%
대 26
9.7%
수 25
9.4%
시 23
8.6%
광 22
8.2%
역 22
8.2%
성 22
8.2%
로 21
7.9%
길 10
 
3.7%
채 3
 
1.1%
Other values (25) 45
16.9%

소재지지번주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-09-29T01:28:57.731864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19
Min length17

Characters and Unicode

Total characters475
Distinct characters40
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

Unique25 ?
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 25
25.5%
수성구 25
25.5%
범어동 4
 
4.1%
신매동 3
 
3.1%
황금동 3
 
3.1%
만촌동 3
 
3.1%
노변동 2
 
2.0%
지산동 2
 
2.0%
황금동672-1 1
 
1.0%
범어동881-7 1
 
1.0%
Other values (29) 29
29.6%
2023-09-29T01:28:58.615366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
15.4%
구 50
 
10.5%
수 27
 
5.7%
성 26
 
5.5%
대 25
 
5.3%
광 25
 
5.3%
역 25
 
5.3%
시 25
 
5.3%
동 25
 
5.3%
1 21
 
4.4%
Other values (30) 153
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
57.9%
Decimal Number 107
 
22.5%
Space Separator 73
 
15.4%
Dash Punctuation 20
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
18.2%
수 27
9.8%
성 26
9.5%
대 25
9.1%
광 25
9.1%
역 25
9.1%
시 25
9.1%
동 25
9.1%
어 5
 
1.8%
범 5
 
1.8%
Other values (18) 37
13.5%
Decimal Number
ValueCountFrequency (%)
1 21
19.6%
2 13
12.1%
7 11
10.3%
6 11
10.3%
5 10
9.3%
4 10
9.3%
3 9
8.4%
9 8
 
7.5%
8 8
 
7.5%
0 6
 
5.6%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
57.9%
Common 200
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
18.2%
수 27
9.8%
성 26
9.5%
대 25
9.1%
광 25
9.1%
역 25
9.1%
시 25
9.1%
동 25
9.1%
어 5
 
1.8%
범 5
 
1.8%
Other values (18) 37
13.5%
Common
ValueCountFrequency (%)
73
36.5%
1 21
 
10.5%
- 20
 
10.0%
2 13
 
6.5%
7 11
 
5.5%
6 11
 
5.5%
5 10
 
5.0%
4 10
 
5.0%
3 9
 
4.5%
9 8
 
4.0%
Other values (2) 14
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
57.9%
ASCII 200
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
36.5%
1 21
 
10.5%
- 20
 
10.0%
2 13
 
6.5%
7 11
 
5.5%
6 11
 
5.5%
5 10
 
5.0%
4 10
 
5.0%
3 9
 
4.5%
9 8
 
4.0%
Other values (2) 14
 
7.0%
Hangul
ValueCountFrequency (%)
구 50
18.2%
수 27
9.8%
성 26
9.5%
대 25
9.1%
광 25
9.1%
역 25
9.1%
시 25
9.1%
동 25
9.1%
어 5
 
1.8%
범 5
 
1.8%
Other values (18) 37
13.5%

주차구획수
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.08
Minimum5
Maximum643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-09-29T01:28:59.163648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.4
Q131
median62
Q3113
95-th percentile218.2
Maximum643
Range638
Interquartile range (IQR)82

Descriptive statistics

Standard deviation126.9432
Coefficient of variation (CV)1.3076144
Kurtosis15.029945
Mean97.08
Median Absolute Deviation (MAD)36
Skewness3.5804631
Sum2427
Variance16114.577
MonotonicityNot monotonic
2023-09-29T01:28:59.752001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
62 2
 
8.0%
195 1
 
4.0%
22 1
 
4.0%
26 1
 
4.0%
72 1
 
4.0%
31 1
 
4.0%
125 1
 
4.0%
98 1
 
4.0%
108 1
 
4.0%
49 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
5 1
4.0%
10 1
4.0%
17 1
4.0%
22 1
4.0%
26 1
4.0%
28 1
4.0%
31 1
4.0%
35 1
4.0%
42 1
4.0%
49 1
4.0%
ValueCountFrequency (%)
643 1
4.0%
224 1
4.0%
195 1
4.0%
143 1
4.0%
132 1
4.0%
125 1
4.0%
113 1
4.0%
108 1
4.0%
98 1
4.0%
72 1
4.0%

급지구분
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2
11 
3
11 
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 11
44.0%
3 11
44.0%
1 3
 
12.0%

Length

2023-09-29T01:29:00.344410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:00.750030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 11
44.0%
3 11
44.0%
1 3
 
12.0%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
미시행
25 

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 25
100.0%

Length

2023-09-29T01:29:01.145755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:01.934692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 25
100.0%

운영요일
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
평일+토요일+공휴일
12 
평일+토요일
7 
평일
6 

Length

Max length10
Median length6
Mean length6.96
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 12
48.0%
평일+토요일 7
28.0%
평일 6
24.0%

Length

2023-09-29T01:29:02.363178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:02.697492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 12
48.0%
평일+토요일 7
28.0%
평일 6
24.0%

평일운영시작시각
Date

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 00:00:00
Maximum2023-09-29 10:00:00
2023-09-29T01:29:03.059372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:04.233968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

평일운영종료시각
Date

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 17:00:00
Maximum2023-09-29 23:59:00
2023-09-29T01:29:05.197509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:05.832629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

토요일운영시작시각
Date

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 00:00:00
Maximum2023-09-29 08:00:00
2023-09-29T01:29:06.490166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:07.241378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

토요일운영종료시각
Date

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 00:00:00
Maximum2023-09-29 23:59:00
2023-09-29T01:29:08.212083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:08.780271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

공휴일운영시작시각
Date

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 00:00:00
Maximum2023-09-29 08:00:00
2023-09-29T01:29:09.475040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:09.944158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

공휴일운영종료시각
Date

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-09-29 00:00:00
Maximum2023-09-29 23:59:00
2023-09-29T01:29:10.418451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:11.031492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

요금정보
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
혼합
17 
무료
8 

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
68.0%
무료 8
32.0%

Length

2023-09-29T01:29:11.619409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:12.102206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혼합 17
68.0%
무료 8
32.0%

주차기본시간
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
30
13 
0
9 
120
3 

Length

Max length3
Median length2
Mean length1.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
30 13
52.0%
0 9
36.0%
120 3
 
12.0%

Length

2023-09-29T01:29:12.834092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:13.281188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 13
52.0%
0 9
36.0%
120 3
 
12.0%

주차기본요금
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
9 
600
6 
1000
4 
300
4 
400
2 

Length

Max length4
Median length3
Mean length2.44
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9
36.0%
600 6
24.0%
1000 4
16.0%
300 4
16.0%
400 2
 
8.0%

Length

2023-09-29T01:29:13.878968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:14.365512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9
36.0%
600 6
24.0%
1000 4
16.0%
300 4
16.0%
400 2
 
8.0%

추가단위시간
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
10
13 
0
9 
120
3 

Length

Max length3
Median length2
Mean length1.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10 13
52.0%
0 9
36.0%
120 3
 
12.0%

Length

2023-09-29T01:29:15.068988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:15.695528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 13
52.0%
0 9
36.0%
120 3
 
12.0%

추가단위요금
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean372
Minimum0
Maximum2000
Zeros9
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-09-29T01:29:16.309652image/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 deviation629.16611
Coefficient of variation (CV)1.6913068
Kurtosis3.846202
Mean372
Median Absolute Deviation (MAD)150
Skewness2.2598215
Sum9300
Variance395850
MonotonicityNot monotonic
2023-09-29T01:29:17.084189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9
36.0%
300 6
24.0%
150 4
16.0%
2000 3
 
12.0%
200 2
 
8.0%
500 1
 
4.0%
ValueCountFrequency (%)
0 9
36.0%
150 4
16.0%
200 2
 
8.0%
300 6
24.0%
500 1
 
4.0%
2000 3
 
12.0%
ValueCountFrequency (%)
2000 3
 
12.0%
500 1
 
4.0%
300 6
24.0%
200 2
 
8.0%
150 4
16.0%
0 9
36.0%

1일주차권요금적용시간
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
17 
12
6 
9
2 

Length

Max length2
Median length1
Mean length1.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
68.0%
12 6
 
24.0%
9 2
 
8.0%

Length

2023-09-29T01:29:17.777763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:18.403665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
68.0%
12 6
 
24.0%
9 2
 
8.0%

1일주차권요금
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
12 
6000
6 
3000
4 
4000
2 
10000
 
1

Length

Max length5
Median length4
Mean length2.6
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
48.0%
6000 6
24.0%
3000 4
 
16.0%
4000 2
 
8.0%
10000 1
 
4.0%

Length

2023-09-29T01:29:19.036876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:19.739760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
48.0%
6000 6
24.0%
3000 4
 
16.0%
4000 2
 
8.0%
10000 1
 
4.0%

월정기권요금
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
13 
80000
6 
40000
4 
<NA>
 
1
100000
 
1

Length

Max length6
Median length1
Mean length2.92
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
52.0%
80000 6
24.0%
40000 4
 
16.0%
<NA> 1
 
4.0%
100000 1
 
4.0%

Length

2023-09-29T01:29:20.786192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:21.430149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
52.0%
80000 6
24.0%
40000 4
 
16.0%
na 1
 
4.0%
100000 1
 
4.0%

결제방법
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
9 
현금
8 
카드
6 
현금,카드
2 

Length

Max length5
Median length2
Mean length2.96
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9
36.0%
현금 8
32.0%
카드 6
24.0%
현금,카드 2
 
8.0%

Length

2023-09-29T01:29:22.204913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:22.854892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
36.0%
현금 8
32.0%
카드 6
24.0%
현금,카드 2
 
8.0%

특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

관리기관명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
대구광역시 수성구청
16 
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 16
64.0%
대구광역시 시설공단 9
36.0%

Length

2023-09-29T01:29:23.552402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:24.070171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 25
50.0%
수성구청 16
32.0%
시설공단 9
 
18.0%

전화번호
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
053-666-3043
16 
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 16
64.0%
053-603-1198 9
36.0%

Length

2023-09-29T01:29:24.915236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:29:25.776936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-666-3043 16
64.0%
053-603-1198 9
36.0%

위도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.846132
Minimum35.820935
Maximum35.86808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-09-29T01:29:26.921700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.820935
5-th percentile35.821709
Q135.838279
median35.845896
Q335.857045
95-th percentile35.866695
Maximum35.86808
Range0.04714538
Interquartile range (IQR)0.0187654

Descriptive statistics

Standard deviation0.01407572
Coefficient of variation (CV)0.00039267053
Kurtosis-0.76458677
Mean35.846132
Median Absolute Deviation (MAD)0.0089063275
Skewness-0.16790315
Sum896.1533
Variance0.00019812589
MonotonicityNot monotonic
2023-09-29T01:29:28.858964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
35.8469209 1
 
4.0%
35.82093452 1
 
4.0%
35.8458959102 1
 
4.0%
35.8562356 1
 
4.0%
35.8588171 1
 
4.0%
35.8503722 1
 
4.0%
35.8531685 1
 
4.0%
35.8602591 1
 
4.0%
35.8369895827 1
 
4.0%
35.8242037 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
35.82093452 1
4.0%
35.82108495 1
4.0%
35.8242037 1
4.0%
35.8276258 1
4.0%
35.8369895827 1
4.0%
35.8374745 1
4.0%
35.8382794 1
4.0%
35.8394418 1
4.0%
35.8396381 1
4.0%
35.8412073 1
4.0%
ValueCountFrequency (%)
35.8680799 1
4.0%
35.8667766 1
4.0%
35.8663694 1
4.0%
35.8640184 1
4.0%
35.8602591 1
4.0%
35.8588171 1
4.0%
35.8570448 1
4.0%
35.8562356 1
4.0%
35.8531685 1
4.0%
35.8503722 1
4.0%

경도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65355
Minimum128.61068
Maximum128.71282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-09-29T01:29:30.298200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61068
5-th percentile128.61954
Q1128.62415
median128.63761
Q3128.69436
95-th percentile128.70744
Maximum128.71282
Range0.10214077
Interquartile range (IQR)0.0702152

Descriptive statistics

Standard deviation0.035860038
Coefficient of variation (CV)0.00027873338
Kurtosis-1.3166137
Mean128.65355
Median Absolute Deviation (MAD)0.0154495
Skewness0.65711257
Sum3216.3386
Variance0.0012859423
MonotonicityNot monotonic
2023-09-29T01:29:31.014818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
128.6272003 1
 
4.0%
128.6376141 1
 
4.0%
128.667244852 1
 
4.0%
128.630221 1
 
4.0%
128.6221434 1
 
4.0%
128.6241465 1
 
4.0%
128.6232008 1
 
4.0%
128.6221646 1
 
4.0%
128.712821366 1
 
4.0%
128.7054723 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
128.6106806 1
4.0%
128.6188893 1
4.0%
128.6221434 1
4.0%
128.6221646 1
4.0%
128.6231933 1
4.0%
128.6232008 1
4.0%
128.6241465 1
4.0%
128.6252321 1
4.0%
128.6272003 1
4.0%
128.6297303 1
4.0%
ValueCountFrequency (%)
128.712821366 1
4.0%
128.707541 1
4.0%
128.7070225 1
4.0%
128.7066693 1
4.0%
128.7054723 1
4.0%
128.7038132 1
4.0%
128.6943617 1
4.0%
128.6739499 1
4.0%
128.667244852 1
4.0%
128.6446054 1
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2019-06-01 00:00:00
Maximum2019-06-01 00:00:00
2023-09-29T01:29:31.558419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:29:32.123168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0155-2-000001어린이회관공영주차장공영노외대구광역시 수성구 동대구로 176대구광역시 수성구 황금동 6261952미시행평일+토요일+공휴일07:0019:0007:0019:0007:0019:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.846921128.62722019-06-01
1155-2-000002지산공영주차장공영노외대구광역시 수성구 용학로 267대구광역시 수성구 지산동 12741323미시행평일+토요일+공휴일08:0023:0008:0023:0008:0023:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.820935128.6376142019-06-01
2155-2-000003시지공영주차장공영노외대구광역시 수성구 달구벌대로637길 10대구광역시 수성구 매호동 1330-21432미시행평일+토요일+공휴일08:0022:0008:0022:0008:0022:00혼합12010001202000000카드<NA>대구광역시 시설공단053-603-119835.84164128.7070222019-06-01
3155-2-000004신매1공영주차장공영노외대구광역시 수성구 신매로19길 40대구광역시 수성구 신매동 567-35422미시행평일+토요일10:0021:0000:0000:0000:0000:00혼합3030010150030000카드<NA>대구광역시 시설공단053-603-119835.839442128.7075412019-06-01
4155-2-000005신매2공영주차장공영노외대구광역시 수성구 신매로19길 56대구광역시 수성구 신매동 567-42622미시행평일+토요일10:0021:0000:0000:0000:0000:00혼합303001015003000<NA>카드<NA>대구광역시 시설공단053-603-119835.839638128.7066692019-06-01
5155-2-000006신매3공영주차장공영노외대구광역시 수성구 고산로 75대구광역시 수성구 노변동 71-1702미시행평일+토요일08:0017:0000:0000:0000:0000:00혼합30300101500300040000카드<NA>대구광역시 시설공단053-603-119835.837474128.7038132019-06-01
6155-2-000008외환들공영주차장공영노외대구광역시 수성구 미술관로 40대구광역시 수성구 삼덕동 3746433미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 시설공단053-603-119835.827626128.673952019-06-01
7155-1-000023상록로노상공영주차장공영노상대구광역시 수성구 국채보상로 846대구광역시 수성구 범어동 20171131미시행평일09:0018:0000:0000:0000:0000:00혼합30100010500010000100000현금<NA>대구광역시 시설공단053-603-119835.866777128.6231932019-06-01
8155-1-000024중동시장노상공영주차장공영노상대구광역시 수성구 청수로 23대구광역시 수성구 중동 416-1352미시행평일09:0018:0000:0000:0000:0000:00혼합30300101500300040000현금<NA>대구광역시 시설공단053-603-119835.841207128.6106812019-06-01
9155-2-000009노변공영주차장공영노외대구광역시 수성구 시지로 66대구광역시 수성구 노변동 569643미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 수성구청053-666-304335.838279128.6943622019-06-01
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
15155-2-000007범어공영주차장공영노외대구광역시 수성구 달구벌대로492길 28대구광역시 수성구 범어동 238-36622미시행평일08:0020:0000:0000:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.857045128.6333992019-06-01
16155-2-000015지산한라공영주차장공영노외대구광역시 수성구 용학로40길 10대구광역시 수성구 지산동 1192-11513미시행평일09:0018:0000:0023:5900:0023:59혼합30400102009400040000현금,카드<NA>대구광역시 수성구청053-666-304335.821085128.629732019-06-01
17155-2-000016욱수골공영주차장공영노외대구광역시 수성구 욱수길 62대구광역시 수성구 욱수동 451-22243미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0000000<NA><NA>대구광역시 수성구청053-666-304335.824204128.7054722019-06-01
18155-2-000017신매동공영주차장공영노외<NA>대구광역시 수성구 신매동 170-2493미시행평일09:0018:0000:0000:0000:0000:00혼합30400102009400040000현금,카드<NA>대구광역시 수성구청053-666-304335.83699128.7128212019-06-01
19155-1-000018범어천로노상공영1주차장공영노상대구광역시 수성구 범어천로 151대구광역시 수성구 수성동4가 985-981081미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.860259128.6221652019-06-01
20155-1-000019범어천로노상공영2주차장공영노상대구광역시 수성구 범어천로 69-1대구광역시 수성구 범어동 805-14982미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.853169128.6232012019-06-01
21155-1-000020범어천로노상공영3주차장공영노상대구광역시 수성구 동대구로45길 11대구광역시 수성구 황금동672-11252미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.850372128.6241462019-06-01
22155-1-000021범어천로노상공영4주차장공영노상대구광역시 수성구 범어천로 135대구광역시 수성구 범어동881-7311미시행평일+토요일08:0020:0008:0020:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.858817128.6221432019-06-01
23155-1-000022대구여고북편노상공영주차장공영노상<NA>대구광역시 수성구 범어동 238-41722미시행평일08:0020:0000:0000:0000:0000:00혼합306001030012600080000현금<NA>대구광역시 수성구청053-666-304335.856236128.6302212019-06-01
24155-2-000025이천동공영주차장공영노외<NA>대구광역시 수성구 이천동 95-3263미시행평일+토요일+공휴일00:0023:5900:0023:5900:0000:00혼합0000000<NA><NA>대구광역시 수성구청053-666-304335.845896128.6672452019-06-01