Overview

Dataset statistics

Number of variables27
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory231.8 B

Variable types

Numeric8
Text3
Categorical10
DateTime6

Dataset

Description대구광역시 북구 민영주차장 운영 현황 및 현장정보에 대한 데이터로 주차장명, 주차장 유형, 주차구획 수, 운영요일, 운영시간, 요금정보 등의 항목을 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15096532/fileData.do

Alerts

주차장 유형 has constant value ""Constant
부제시행구분 has constant value ""Constant
1일주차권요금적용시간 has constant value ""Constant
관리기관명 has constant value ""Constant
요금정보 is highly imbalanced (68.4%)Imbalance
결제방법 is highly imbalanced (61.8%)Imbalance
순번 has unique valuesUnique
주차장관리번호 has unique valuesUnique
주차장명 has unique valuesUnique
주차기본요금 has 2 (5.7%) zerosZeros
추가단위요금 has 17 (48.6%) zerosZeros
1일주차권적용시간 has 15 (42.9%) zerosZeros
월정기요금 has 14 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-11 22:55:16.621299
Analysis finished2023-12-11 22:55:16.930047
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:16.980865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T07:55:17.114925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

주차장관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T07:55:17.305507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique35 ?
Unique (%)100.0%

Sample

1st row154-4-000190
2nd row154-4-000191
3rd row154-4-000192
4th row154-4-000198
5th row154-4-000199
ValueCountFrequency (%)
154-4-000190 1
 
2.9%
154-4-000226 1
 
2.9%
154-4-000228 1
 
2.9%
154-4-000229 1
 
2.9%
154-4-000231 1
 
2.9%
154-4-000233 1
 
2.9%
154-4-000234 1
 
2.9%
154-4-000235 1
 
2.9%
154-4-000227 1
 
2.9%
154-4-000236 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T07:55:17.633083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 115
27.4%
4 75
17.9%
- 70
16.7%
1 50
11.9%
5 42
 
10.0%
2 37
 
8.8%
3 10
 
2.4%
9 9
 
2.1%
6 5
 
1.2%
7 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
32.9%
4 75
21.4%
1 50
14.3%
5 42
 
12.0%
2 37
 
10.6%
3 10
 
2.9%
9 9
 
2.6%
6 5
 
1.4%
7 4
 
1.1%
8 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 115
27.4%
4 75
17.9%
- 70
16.7%
1 50
11.9%
5 42
 
10.0%
2 37
 
8.8%
3 10
 
2.4%
9 9
 
2.1%
6 5
 
1.2%
7 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 115
27.4%
4 75
17.9%
- 70
16.7%
1 50
11.9%
5 42
 
10.0%
2 37
 
8.8%
3 10
 
2.4%
9 9
 
2.1%
6 5
 
1.2%
7 4
 
1.0%

주차장명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T07:55:17.843920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.0857143
Min length2

Characters and Unicode

Total characters108
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

Unique35 ?
Unique (%)100.0%

Sample

1st row광양
2nd row구남
3rd row구마니 유료주차장
4th row뉴욕
5th row대광
ValueCountFrequency (%)
광양 1
 
2.8%
대흥 1
 
2.8%
우정 1
 
2.8%
삼성주차장(박문웅 1
 
2.8%
시민 1
 
2.8%
신만평 1
 
2.8%
신태경 1
 
2.8%
아진 1
 
2.8%
역후 1
 
2.8%
송원 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T07:55:18.176258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 6
 
5.6%
장 5
 
4.6%
차 5
 
4.6%
주 5
 
4.6%
성 4
 
3.7%
유 3
 
2.8%
료 3
 
2.8%
신 3
 
2.8%
평 2
 
1.9%
진 2
 
1.9%
Other values (59) 70
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
95.4%
Close Punctuation 2
 
1.9%
Open Punctuation 2
 
1.9%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 6
 
5.8%
장 5
 
4.9%
차 5
 
4.9%
주 5
 
4.9%
성 4
 
3.9%
유 3
 
2.9%
료 3
 
2.9%
신 3
 
2.9%
평 2
 
1.9%
진 2
 
1.9%
Other values (56) 65
63.1%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
95.4%
Common 5
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 6
 
5.8%
장 5
 
4.9%
차 5
 
4.9%
주 5
 
4.9%
성 4
 
3.9%
유 3
 
2.9%
료 3
 
2.9%
신 3
 
2.9%
평 2
 
1.9%
진 2
 
1.9%
Other values (56) 65
63.1%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
95.4%
ASCII 5
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 6
 
5.8%
장 5
 
4.9%
차 5
 
4.9%
주 5
 
4.9%
성 4
 
3.9%
유 3
 
2.9%
료 3
 
2.9%
신 3
 
2.9%
평 2
 
1.9%
진 2
 
1.9%
Other values (56) 65
63.1%
ASCII
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
1
20.0%

주차장 유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
노외
35 

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 35
100.0%

Length

2023-12-12T07:55:18.314986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:18.425137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 35
100.0%

소재지지번주소
Text

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T07:55:18.615360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.342857
Min length17

Characters and Unicode

Total characters677
Distinct characters33
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

Unique31 ?
Unique (%)88.6%

Sample

1st row대구광역시 북구 노원동3가 892-1
2nd row대구광역시 북구 읍내동 1121-1
3rd row대구광역시 북구 칠성동2가 504
4th row대구광역시 북구 칠성동1가 155-2
5th row대구광역시 북구 노원동1가 205
ValueCountFrequency (%)
대구광역시 35
25.0%
북구 35
25.0%
노원동3가 10
 
7.1%
칠성동2가 7
 
5.0%
동천동 4
 
2.9%
침산동 3
 
2.1%
노원동1가 2
 
1.4%
읍내동 2
 
1.4%
산격동 2
 
1.4%
대현동 2
 
1.4%
Other values (36) 38
27.1%
2023-12-12T07:55:19.043312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
15.5%
구 70
 
10.3%
동 39
 
5.8%
대 37
 
5.5%
광 35
 
5.2%
역 35
 
5.2%
시 35
 
5.2%
북 35
 
5.2%
1 35
 
5.2%
- 30
 
4.4%
Other values (23) 221
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
54.8%
Decimal Number 171
25.3%
Space Separator 105
 
15.5%
Dash Punctuation 30
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 70
18.9%
동 39
10.5%
대 37
10.0%
광 35
9.4%
역 35
9.4%
시 35
9.4%
북 35
9.4%
가 21
 
5.7%
원 13
 
3.5%
노 13
 
3.5%
Other values (11) 38
10.2%
Decimal Number
ValueCountFrequency (%)
1 35
20.5%
2 23
13.5%
3 22
12.9%
7 16
9.4%
0 16
9.4%
5 15
8.8%
8 13
 
7.6%
4 12
 
7.0%
9 11
 
6.4%
6 8
 
4.7%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
54.8%
Common 306
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 70
18.9%
동 39
10.5%
대 37
10.0%
광 35
9.4%
역 35
9.4%
시 35
9.4%
북 35
9.4%
가 21
 
5.7%
원 13
 
3.5%
노 13
 
3.5%
Other values (11) 38
10.2%
Common
ValueCountFrequency (%)
105
34.3%
1 35
 
11.4%
- 30
 
9.8%
2 23
 
7.5%
3 22
 
7.2%
7 16
 
5.2%
0 16
 
5.2%
5 15
 
4.9%
8 13
 
4.2%
4 12
 
3.9%
Other values (2) 19
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
54.8%
ASCII 306
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
34.3%
1 35
 
11.4%
- 30
 
9.8%
2 23
 
7.5%
3 22
 
7.2%
7 16
 
5.2%
0 16
 
5.2%
5 15
 
4.9%
8 13
 
4.2%
4 12
 
3.9%
Other values (2) 19
 
6.2%
Hangul
ValueCountFrequency (%)
구 70
18.9%
동 39
10.5%
대 37
10.0%
광 35
9.4%
역 35
9.4%
시 35
9.4%
북 35
9.4%
가 21
 
5.7%
원 13
 
3.5%
노 13
 
3.5%
Other values (11) 38
10.2%

주차구획수
Real number (ℝ)

Distinct25
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.085714
Minimum4
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:19.189059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.4
Q112
median18
Q324
95-th percentile46.4
Maximum62
Range58
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.587041
Coefficient of variation (CV)0.62666636
Kurtosis3.3307622
Mean20.085714
Median Absolute Deviation (MAD)6
Skewness1.6550913
Sum703
Variance158.43361
MonotonicityNot monotonic
2023-12-12T07:55:19.314826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10 3
 
8.6%
24 3
 
8.6%
18 3
 
8.6%
13 3
 
8.6%
25 2
 
5.7%
16 2
 
5.7%
62 1
 
2.9%
11 1
 
2.9%
8 1
 
2.9%
23 1
 
2.9%
Other values (15) 15
42.9%
ValueCountFrequency (%)
4 1
 
2.9%
5 1
 
2.9%
7 1
 
2.9%
8 1
 
2.9%
9 1
 
2.9%
10 3
8.6%
11 1
 
2.9%
13 3
8.6%
14 1
 
2.9%
15 1
 
2.9%
ValueCountFrequency (%)
62 1
 
2.9%
52 1
 
2.9%
44 1
 
2.9%
33 1
 
2.9%
31 1
 
2.9%
28 1
 
2.9%
25 2
5.7%
24 3
8.6%
23 1
 
2.9%
22 1
 
2.9%

급지구분
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2
15 
1
12 
3
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 15
42.9%
1 12
34.3%
3 8
22.9%

Length

2023-12-12T07:55:19.439710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:19.553091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 15
42.9%
1 12
34.3%
3 8
22.9%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
미시행
35 

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 35
100.0%

Length

2023-12-12T07:55:19.677513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:19.798310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 35
100.0%

운영요일
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
평일+토요일+공휴일
24 
평일+토요일
7 
평일
4 

Length

Max length10
Median length10
Mean length8.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 24
68.6%
평일+토요일 7
 
20.0%
평일 4
 
11.4%

Length

2023-12-12T07:55:19.913705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:20.032297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 24
68.6%
평일+토요일 7
 
20.0%
평일 4
 
11.4%

평일운영시작시각
Date

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 12:00:00
2023-12-12T07:55:20.140120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:20.250507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

평일운영종료시각
Date

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:00
2023-12-12T07:55:20.351336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:20.449558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

토요일운영시작시각
Date

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 19:00:00
2023-12-12T07:55:20.576953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:20.718994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

토요일운영종료시각
Date

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:00
2023-12-12T07:55:20.860006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:20.986472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

공휴일운영시작시각
Date

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 09:00:00
2023-12-12T07:55:21.104203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:21.278103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

공유일운영종료시각
Date

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:00
2023-12-12T07:55:21.404887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:21.531800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

요금정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유료
33 
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 33
94.3%
무료 2
 
5.7%

Length

2023-12-12T07:55:21.661919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:21.773844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 33
94.3%
무료 2
 
5.7%

주차기본시간
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
30
24 
60
9 
0
 
2

Length

Max length2
Median length2
Mean length1.9428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
30 24
68.6%
60 9
 
25.7%
0 2
 
5.7%

Length

2023-12-12T07:55:21.900394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:21.999058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 24
68.6%
60 9
 
25.7%
0 2
 
5.7%

주차기본요금
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean911.42857
Minimum0
Maximum2000
Zeros2
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:22.080767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile350
Q11000
median1000
Q31000
95-th percentile1000
Maximum2000
Range2000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation322.46425
Coefficient of variation (CV)0.3538009
Kurtosis5.9436418
Mean911.42857
Median Absolute Deviation (MAD)0
Skewness-0.34353492
Sum31900
Variance103983.19
MonotonicityNot monotonic
2023-12-12T07:55:22.176839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1000 26
74.3%
600 3
 
8.6%
0 2
 
5.7%
800 2
 
5.7%
500 1
 
2.9%
2000 1
 
2.9%
ValueCountFrequency (%)
0 2
 
5.7%
500 1
 
2.9%
600 3
 
8.6%
800 2
 
5.7%
1000 26
74.3%
2000 1
 
2.9%
ValueCountFrequency (%)
2000 1
 
2.9%
1000 26
74.3%
800 2
 
5.7%
600 3
 
8.6%
500 1
 
2.9%
0 2
 
5.7%

추가단위시간
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
17 
60
12 
10
6 

Length

Max length2
Median length2
Mean length1.5142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row10
4th row0
5th row60

Common Values

ValueCountFrequency (%)
0 17
48.6%
60 12
34.3%
10 6
 
17.1%

Length

2023-12-12T07:55:22.292756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:22.390573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
48.6%
60 12
34.3%
10 6
 
17.1%

추가단위요금
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.42857
Minimum0
Maximum2000
Zeros17
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:22.466803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q31000
95-th percentile2000
Maximum2000
Range2000
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation756.2957
Coefficient of variation (CV)1.2787609
Kurtosis-0.71062449
Mean591.42857
Median Absolute Deviation (MAD)100
Skewness0.9236743
Sum20700
Variance571983.19
MonotonicityNot monotonic
2023-12-12T07:55:22.564370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17
48.6%
2000 5
 
14.3%
1000 4
 
11.4%
500 3
 
8.6%
1500 3
 
8.6%
300 2
 
5.7%
100 1
 
2.9%
ValueCountFrequency (%)
0 17
48.6%
100 1
 
2.9%
300 2
 
5.7%
500 3
 
8.6%
1000 4
 
11.4%
1500 3
 
8.6%
2000 5
 
14.3%
ValueCountFrequency (%)
2000 5
 
14.3%
1500 3
 
8.6%
1000 4
 
11.4%
500 3
 
8.6%
300 2
 
5.7%
100 1
 
2.9%
0 17
48.6%

1일주차권요금적용시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
100.0%

Length

2023-12-12T07:55:22.712359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:22.813413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
100.0%

1일주차권적용시간
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3400
Minimum0
Maximum10000
Zeros15
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:22.897615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3000
Q35000
95-th percentile10000
Maximum10000
Range10000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation3516.3484
Coefficient of variation (CV)1.0342201
Kurtosis-0.85218009
Mean3400
Median Absolute Deviation (MAD)3000
Skewness0.58062845
Sum119000
Variance12364706
MonotonicityNot monotonic
2023-12-12T07:55:22.983501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
42.9%
5000 9
25.7%
10000 4
 
11.4%
3000 4
 
11.4%
8000 2
 
5.7%
6000 1
 
2.9%
ValueCountFrequency (%)
0 15
42.9%
3000 4
 
11.4%
5000 9
25.7%
6000 1
 
2.9%
8000 2
 
5.7%
10000 4
 
11.4%
ValueCountFrequency (%)
10000 4
 
11.4%
8000 2
 
5.7%
6000 1
 
2.9%
5000 9
25.7%
3000 4
 
11.4%
0 15
42.9%

월정기요금
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40285.714
Minimum0
Maximum100000
Zeros14
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:23.068547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60000
Q370000
95-th percentile86000
Maximum100000
Range100000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation35685.366
Coefficient of variation (CV)0.88580697
Kurtosis-1.6361416
Mean40285.714
Median Absolute Deviation (MAD)20000
Skewness-0.049501251
Sum1410000
Variance1.2734454 × 109
MonotonicityNot monotonic
2023-12-12T07:55:23.158945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
40.0%
70000 7
20.0%
60000 6
17.1%
80000 3
 
8.6%
100000 2
 
5.7%
30000 1
 
2.9%
40000 1
 
2.9%
50000 1
 
2.9%
ValueCountFrequency (%)
0 14
40.0%
30000 1
 
2.9%
40000 1
 
2.9%
50000 1
 
2.9%
60000 6
17.1%
70000 7
20.0%
80000 3
 
8.6%
100000 2
 
5.7%
ValueCountFrequency (%)
100000 2
 
5.7%
80000 3
 
8.6%
70000 7
20.0%
60000 6
17.1%
50000 1
 
2.9%
40000 1
 
2.9%
30000 1
 
2.9%
0 14
40.0%

결제방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
현금
31 
0
 
3
현금, 신용카드
 
1

Length

Max length8
Median length2
Mean length2.0857143
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
현금 31
88.6%
0 3
 
8.6%
현금, 신용카드 1
 
2.9%

Length

2023-12-12T07:55:23.272200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:23.377964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금 32
88.9%
0 3
 
8.3%
신용카드 1
 
2.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
대구광역시 북구청
35 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 북구청 35
100.0%

Length

2023-12-12T07:55:23.733760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:23.825151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 35
50.0%
북구청 35
50.0%

경도
Real number (ℝ)

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.89665
Minimum35.875724
Maximum35.94401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:23.909228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.875724
5-th percentile35.876887
Q135.8849
median35.889395
Q335.89501
95-th percentile35.942716
Maximum35.94401
Range0.068286
Interquartile range (IQR)0.01010935

Descriptive statistics

Standard deviation0.021868933
Coefficient of variation (CV)0.00060921933
Kurtosis0.43394208
Mean35.89665
Median Absolute Deviation (MAD)0.00477809
Skewness1.363748
Sum1256.3828
Variance0.00047825023
MonotonicityNot monotonic
2023-12-12T07:55:24.038069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
35.87688665 2
 
5.7%
35.89220587 1
 
2.9%
35.8920819 1
 
2.9%
35.94245761 1
 
2.9%
35.8852831 1
 
2.9%
35.8896644 1
 
2.9%
35.92433357 1
 
2.9%
35.88926955 1
 
2.9%
35.89181778 1
 
2.9%
35.89122502 1
 
2.9%
Other values (24) 24
68.6%
ValueCountFrequency (%)
35.8757242 1
2.9%
35.87688665 2
5.7%
35.87695476 1
2.9%
35.87766279 1
2.9%
35.8778587 1
2.9%
35.87792093 1
2.9%
35.8800966 1
2.9%
35.8846168 1
2.9%
35.88518404 1
2.9%
35.8852831 1
2.9%
ValueCountFrequency (%)
35.9440102 1
2.9%
35.94325188 1
2.9%
35.94248568 1
2.9%
35.94245761 1
2.9%
35.9349066 1
2.9%
35.93292828 1
2.9%
35.92433357 1
2.9%
35.89769395 1
2.9%
35.8967946 1
2.9%
35.89322494 1
2.9%

위도
Real number (ℝ)

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58091
Minimum128.5492
Maximum128.61334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T07:55:24.159164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5492
5-th percentile128.55637
Q1128.56565
median128.5765
Q3128.59809
95-th percentile128.60652
Maximum128.61334
Range0.0641388
Interquartile range (IQR)0.0324374

Descriptive statistics

Standard deviation0.01870811
Coefficient of variation (CV)0.00014549679
Kurtosis-1.4123979
Mean128.58091
Median Absolute Deviation (MAD)0.0175733
Skewness0.061157312
Sum4500.3318
Variance0.00034999336
MonotonicityNot monotonic
2023-12-12T07:55:24.294179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
128.5589261 2
 
5.7%
128.5951518 2
 
5.7%
128.5679626 1
 
2.9%
128.5693763 1
 
2.9%
128.5857108 1
 
2.9%
128.5643057 1
 
2.9%
128.5986496 1
 
2.9%
128.5675428 1
 
2.9%
128.5674167 1
 
2.9%
128.5664349 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
128.5492023 1
2.9%
128.5503945 1
2.9%
128.5589261 2
5.7%
128.5593616 1
2.9%
128.5620563 1
2.9%
128.5643057 1
2.9%
128.5648608 1
2.9%
128.5648666 1
2.9%
128.5664349 1
2.9%
128.5671873 1
2.9%
ValueCountFrequency (%)
128.6133411 1
2.9%
128.6102939 1
2.9%
128.6049054 1
2.9%
128.6048736 1
2.9%
128.6010181 1
2.9%
128.6006471 1
2.9%
128.5986496 1
2.9%
128.5985705 1
2.9%
128.5985068 1
2.9%
128.5976695 1
2.9%

Sample

순번주차장관리번호주차장명주차장 유형소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공유일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권적용시간월정기요금결제방법관리기관명경도위도
01154-4-000190광양노외대구광역시 북구 노원동3가 892-1252미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료305006010000500080000현금대구광역시 북구청35.892206128.567963
12154-4-000191구남노외대구광역시 북구 읍내동 1121-1152미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료301000602000010000100000현금대구광역시 북구청35.932928128.550395
23154-4-000192구마니 유료주차장노외대구광역시 북구 칠성동2가 504311미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료30100010500000현금대구광역시 북구청35.876955128.59626
34154-4-000198뉴욕노외대구광역시 북구 칠성동1가 155-2101미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료60100000000현금대구광역시 북구청35.875724128.604874
45154-4-000199대광노외대구광역시 북구 노원동1가 205102미시행평일+토요일07:00:0021:00:0007:00:0021:00:0000:00:0000:00:00유료3010006015000600070000현금대구광역시 북구청35.888803128.576499
56154-4-000200대륙노외대구광역시 북구 칠성동2가 549-6241미시행평일+토요일+공휴일08:00:0019:00:0008:00:0019:00:0008:00:0019:00:00유료3010006015000500070000현금대구광역시 북구청35.877859128.600647
67154-4-000201대보노외대구광역시 북구 칠성동2가 302-30891미시행평일+토요일09:00:0020:00:0009:00:0020:00:0000:00:0000:00:00유료301000602000000현금대구광역시 북구청35.876887128.595152
78154-4-000202대진노외대구광역시 북구 노원동3가 731-1282미시행평일+토요일+공휴일04:30:0018:30:0004:30:0018:30:0004:30:0018:30:00유료3010006010000300080000현금대구광역시 북구청35.890607128.564861
89154-4-000203대현노외대구광역시 북구 대현동 277-59181미시행평일+토요일09:00:0022:00:0009:00:0022:00:0000:00:0000:00:00유료3010006020000500060000현금대구광역시 북구청35.880097128.610294
910154-4-000204대흥노외대구광역시 북구 노원동3가 73-6243미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료301000000060000현금대구광역시 북구청35.897694128.570062
순번주차장관리번호주차장명주차장 유형소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공유일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권적용시간월정기요금결제방법관리기관명경도위도
2526154-4-000235역후노외대구광역시 북구 칠성동2가 302-308211미시행평일+토요일08:00:0020:00:0008:00:0020:00:0000:00:0000:00:00유료301000602000000현금대구광역시 북구청35.876887128.595152
2627154-4-000236영덕노외대구광역시 북구 노원동3가 894-1162미시행평일08:00:0018:00:0000:00:0000:00:0000:00:0000:00:00유료601000000300060000현금대구광역시 북구청35.891818128.567417
2728154-4-000237우정노외대구광역시 북구 노원동3가 1001-1442미시행평일07:30:0021:00:0000:00:0000:00:0000:00:0000:00:00유료301000000080000현금, 신용카드대구광역시 북구청35.892082128.569376
2829154-4-000249청신노외대구광역시 북구 노원동3가 882202미시행평일+토요일+공휴일05:00:0019:00:0005:00:0019:00:0000:00:0000:00:00유료301000000500070000현금대구광역시 북구청35.891225128.566435
2930154-4-000253태호노외대구광역시 북구 동천동 895-4443미시행평일+토요일+공휴일09:00:0021:00:0009:00:0021:00:0009:00:0021:00:00유료60100000000현금대구광역시 북구청35.94401128.562056
3031154-4-000254통일로노외대구광역시 북구 침산동 15-47102미시행평일12:00:0017:00:0000:00:0000:00:0000:00:0000:00:00유료3010006010000800060000현금대구광역시 북구청35.886931128.598507
3132154-4-000257풍국노외대구광역시 북구 노원동3가 373233미시행평일+토요일+공휴일07:00:0017:00:0007:00:0017:00:0007:00:0017:00:00유료601000000100000현금대구광역시 북구청35.892121128.564867
3233154-4-000258화성노외대구광역시 북구 침산동 105-4481미시행평일+토요일+공휴일06:00:0023:59:0006:00:0023:59:0006:00:0023:59:00유료30600101000500060000현금대구광역시 북구청35.884617128.597567
3334154-4-000260오렌지유료주차장(이옥분)노외대구광역시 북구 동천동 907-1183미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료3060000000현금대구광역시 북구청35.942486128.558926
3435154-4-000261산격유료주차장노외대구광역시 북구 산격동 1100-7113미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:00유료301000000000대구광역시 북구청35.893225128.597669