Overview

Dataset statistics

Number of variables31
Number of observations165
Missing cells229
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory259.8 B

Variable types

Text4
Categorical23
Numeric4

Dataset

Description대구광역시_달서구_주차장정보_20200317
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3040421&dataSetDetailId=304042129c8ba0cc35d2_202003181041&provdMethod=FILE

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
운영요일 has constant value ""Constant
데이터기준일자 has constant value ""Constant
평일운영시작시각 is highly imbalanced (72.2%)Imbalance
평일운영종료시각 is highly imbalanced (72.0%)Imbalance
토요일운영시작시각 is highly imbalanced (72.1%)Imbalance
토요일운영종료시각 is highly imbalanced (72.8%)Imbalance
공휴일운영시작시각 is highly imbalanced (77.0%)Imbalance
공휴일운영종료시각 is highly imbalanced (78.0%)Imbalance
요금정보 is highly imbalanced (60.4%)Imbalance
주차기본시간 is highly imbalanced (64.2%)Imbalance
주차기본요금 is highly imbalanced (67.5%)Imbalance
추가단위요금 is highly imbalanced (63.9%)Imbalance
1일주차권요금적용시간 is highly imbalanced (70.8%)Imbalance
1일주차권요금 is highly imbalanced (71.0%)Imbalance
특기사항 is highly imbalanced (66.3%)Imbalance
소재지지번주소 has 83 (50.3%) missing valuesMissing
월정기권요금 has 146 (88.5%) missing valuesMissing
주차장관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 08:56:37.792118
Analysis finished2024-04-21 08:56:38.485760
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T17:56:39.195165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1980
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

Unique165 ?
Unique (%)100.0%

Sample

1st row156-2-000001
2nd row156-2-000003
3rd row156-2-000004
4th row156-2-000005
5th row156-2-000006
ValueCountFrequency (%)
156-2-000001 1
 
0.6%
156-1-000033 1
 
0.6%
156-1-000055 1
 
0.6%
156-1-000056 1
 
0.6%
156-1-000057 1
 
0.6%
156-1-000058 1
 
0.6%
156-1-000059 1
 
0.6%
156-1-000060 1
 
0.6%
156-1-000061 1
 
0.6%
156-1-000062 1
 
0.6%
Other values (155) 155
93.9%
2024-04-21T17:56:40.492336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 689
34.8%
1 333
16.8%
- 330
16.7%
5 195
 
9.8%
6 191
 
9.6%
2 89
 
4.5%
3 38
 
1.9%
4 37
 
1.9%
7 26
 
1.3%
8 26
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1650
83.3%
Dash Punctuation 330
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 689
41.8%
1 333
20.2%
5 195
 
11.8%
6 191
 
11.6%
2 89
 
5.4%
3 38
 
2.3%
4 37
 
2.2%
7 26
 
1.6%
8 26
 
1.6%
9 26
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 689
34.8%
1 333
16.8%
- 330
16.7%
5 195
 
9.8%
6 191
 
9.6%
2 89
 
4.5%
3 38
 
1.9%
4 37
 
1.9%
7 26
 
1.3%
8 26
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 689
34.8%
1 333
16.8%
- 330
16.7%
5 195
 
9.8%
6 191
 
9.6%
2 89
 
4.5%
3 38
 
1.9%
4 37
 
1.9%
7 26
 
1.3%
8 26
 
1.3%

주차장명
Text

Distinct155
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T17:56:41.080825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.9878788
Min length5

Characters and Unicode

Total characters1483
Distinct characters162
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)88.5%

Sample

1st row상인1공영주차장
2nd row능금공원(두류공영)주차장
3rd row상인공영주차장
4th row용산1공영주차장
5th row용산2공영주차장
ValueCountFrequency (%)
인근 51
 
23.0%
와룡로10길인근 3
 
1.4%
공영주차장 3
 
1.4%
월배로83길인근 2
 
0.9%
성서공단남로36길 2
 
0.9%
성서공단로인근 2
 
0.9%
월배로74서길인근 2
 
0.9%
서부지청인근 2
 
0.9%
월배로68안길인근 2
 
0.9%
고려낙원아파트 2
 
0.9%
Other values (149) 151
68.0%
2024-04-21T17:56:41.881961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 117
 
7.9%
근 109
 
7.3%
공 75
 
5.1%
로 65
 
4.4%
장 58
 
3.9%
57
 
3.8%
차 55
 
3.7%
주 53
 
3.6%
영 52
 
3.5%
길 52
 
3.5%
Other values (152) 790
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1274
85.9%
Decimal Number 140
 
9.4%
Space Separator 57
 
3.8%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 117
 
9.2%
근 109
 
8.6%
공 75
 
5.9%
로 65
 
5.1%
장 58
 
4.6%
차 55
 
4.3%
주 53
 
4.2%
영 52
 
4.1%
길 52
 
4.1%
서 35
 
2.7%
Other values (136) 603
47.3%
Decimal Number
ValueCountFrequency (%)
2 29
20.7%
1 28
20.0%
3 15
10.7%
4 15
10.7%
5 13
9.3%
8 11
 
7.9%
6 10
 
7.1%
7 8
 
5.7%
0 6
 
4.3%
9 5
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1274
85.9%
Common 207
 
14.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 117
 
9.2%
근 109
 
8.6%
공 75
 
5.9%
로 65
 
5.1%
장 58
 
4.6%
차 55
 
4.3%
주 53
 
4.2%
영 52
 
4.1%
길 52
 
4.1%
서 35
 
2.7%
Other values (136) 603
47.3%
Common
ValueCountFrequency (%)
57
27.5%
2 29
14.0%
1 28
13.5%
3 15
 
7.2%
4 15
 
7.2%
5 13
 
6.3%
8 11
 
5.3%
6 10
 
4.8%
7 8
 
3.9%
0 6
 
2.9%
Other values (4) 15
 
7.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1274
85.9%
ASCII 207
 
14.0%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 117
 
9.2%
근 109
 
8.6%
공 75
 
5.9%
로 65
 
5.1%
장 58
 
4.6%
차 55
 
4.3%
주 53
 
4.2%
영 52
 
4.1%
길 52
 
4.1%
서 35
 
2.7%
Other values (136) 603
47.3%
ASCII
ValueCountFrequency (%)
57
27.5%
2 29
14.0%
1 28
13.5%
3 15
 
7.2%
4 15
 
7.2%
5 13
 
6.3%
8 11
 
5.3%
6 10
 
4.8%
7 8
 
3.9%
0 6
 
2.9%
Other values (5) 15
 
7.2%
None
ValueCountFrequency (%)
· 2
100.0%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공영
165 

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 165
100.0%

Length

2024-04-21T17:56:42.103676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:42.272470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 165
100.0%

주차장유형
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노상
113 
노외
52 

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 (%)
노상 113
68.5%
노외 52
31.5%

Length

2024-04-21T17:56:42.445228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:42.619249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 113
68.5%
노외 52
31.5%

소재지도로명주소
Text

Distinct151
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T17:56:43.665323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length18.806061
Min length15

Characters and Unicode

Total characters3103
Distinct characters81
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)84.8%

Sample

1st row대구광역시 달서구 상화북로 196-6
2nd row대구광역시 달서구 명덕로2길 57 (두류동)
3rd row대구광역시 달서구 상인서로 8-3
4th row대구광역시 달서구 달구벌대로301길 173
5th row대구광역시 달서구 용산서로 10
ValueCountFrequency (%)
대구광역시 165
24.8%
달서구 165
24.8%
구마로40길 5
 
0.8%
30 5
 
0.8%
14 5
 
0.8%
33 5
 
0.8%
와룡로51길 5
 
0.8%
선원로 4
 
0.6%
26 4
 
0.6%
월배로72길 4
 
0.6%
Other values (198) 299
44.9%
2024-04-21T17:56:44.978842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
16.1%
구 344
 
11.1%
서 202
 
6.5%
대 183
 
5.9%
달 178
 
5.7%
광 165
 
5.3%
역 165
 
5.3%
시 165
 
5.3%
로 153
 
4.9%
1 99
 
3.2%
Other values (71) 948
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2021
65.1%
Decimal Number 551
 
17.8%
Space Separator 501
 
16.1%
Dash Punctuation 18
 
0.6%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 344
17.0%
서 202
10.0%
대 183
9.1%
달 178
8.8%
광 165
8.2%
역 165
8.2%
시 165
8.2%
로 153
7.6%
길 98
 
4.8%
당 21
 
1.0%
Other values (57) 347
17.2%
Decimal Number
ValueCountFrequency (%)
1 99
18.0%
3 78
14.2%
2 71
12.9%
4 56
10.2%
6 53
9.6%
7 52
9.4%
5 50
9.1%
0 34
 
6.2%
8 32
 
5.8%
9 26
 
4.7%
Space Separator
ValueCountFrequency (%)
501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2021
65.1%
Common 1082
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 344
17.0%
서 202
10.0%
대 183
9.1%
달 178
8.8%
광 165
8.2%
역 165
8.2%
시 165
8.2%
로 153
7.6%
길 98
 
4.8%
당 21
 
1.0%
Other values (57) 347
17.2%
Common
ValueCountFrequency (%)
501
46.3%
1 99
 
9.1%
3 78
 
7.2%
2 71
 
6.6%
4 56
 
5.2%
6 53
 
4.9%
7 52
 
4.8%
5 50
 
4.6%
0 34
 
3.1%
8 32
 
3.0%
Other values (4) 56
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2021
65.1%
ASCII 1082
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
501
46.3%
1 99
 
9.1%
3 78
 
7.2%
2 71
 
6.6%
4 56
 
5.2%
6 53
 
4.9%
7 52
 
4.8%
5 50
 
4.6%
0 34
 
3.1%
8 32
 
3.0%
Other values (4) 56
 
5.2%
Hangul
ValueCountFrequency (%)
구 344
17.0%
서 202
10.0%
대 183
9.1%
달 178
8.8%
광 165
8.2%
역 165
8.2%
시 165
8.2%
로 153
7.6%
길 98
 
4.8%
당 21
 
1.0%
Other values (57) 347
17.2%

소재지지번주소
Text

MISSING 

Distinct67
Distinct (%)81.7%
Missing83
Missing (%)50.3%
Memory size1.4 KiB
2024-04-21T17:56:45.829058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.353659
Min length16

Characters and Unicode

Total characters1505
Distinct characters52
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

Unique57 ?
Unique (%)69.5%

Sample

1st row대구광역시 달서구 상인동 1554
2nd row대구광역시 달서구 용산동 933-4
3rd row대구광역시 달서구 용산동 931-4
4th row대구광역시 달서구 장기동 817-1
5th row대구광역시 달서구 본리동 1196
ValueCountFrequency (%)
대구광역시 82
25.0%
달서구 82
25.0%
송현동 14
 
4.3%
월암동 8
 
2.4%
신당동 6
 
1.8%
두류동 6
 
1.8%
상인동 5
 
1.5%
진천동 4
 
1.2%
감삼동 4
 
1.2%
본리동 4
 
1.2%
Other values (80) 113
34.5%
2024-04-21T17:56:46.892912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
16.3%
구 164
 
10.9%
대 82
 
5.4%
광 82
 
5.4%
역 82
 
5.4%
시 82
 
5.4%
달 82
 
5.4%
서 82
 
5.4%
동 82
 
5.4%
1 63
 
4.2%
Other values (42) 458
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
59.7%
Decimal Number 317
 
21.1%
Space Separator 246
 
16.3%
Dash Punctuation 42
 
2.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 164
18.2%
대 82
9.1%
광 82
9.1%
역 82
9.1%
시 82
9.1%
달 82
9.1%
서 82
9.1%
동 82
9.1%
현 14
 
1.6%
송 14
 
1.6%
Other values (29) 133
14.8%
Decimal Number
ValueCountFrequency (%)
1 63
19.9%
9 37
11.7%
5 33
10.4%
2 33
10.4%
3 32
10.1%
0 29
9.1%
4 26
8.2%
8 24
 
7.6%
6 21
 
6.6%
7 19
 
6.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
59.7%
Common 606
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 164
18.2%
대 82
9.1%
광 82
9.1%
역 82
9.1%
시 82
9.1%
달 82
9.1%
서 82
9.1%
동 82
9.1%
현 14
 
1.6%
송 14
 
1.6%
Other values (29) 133
14.8%
Common
ValueCountFrequency (%)
246
40.6%
1 63
 
10.4%
- 42
 
6.9%
9 37
 
6.1%
5 33
 
5.4%
2 33
 
5.4%
3 32
 
5.3%
0 29
 
4.8%
4 26
 
4.3%
8 24
 
4.0%
Other values (3) 41
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
59.7%
ASCII 606
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
40.6%
1 63
 
10.4%
- 42
 
6.9%
9 37
 
6.1%
5 33
 
5.4%
2 33
 
5.4%
3 32
 
5.3%
0 29
 
4.8%
4 26
 
4.3%
8 24
 
4.0%
Other values (3) 41
 
6.8%
Hangul
ValueCountFrequency (%)
구 164
18.2%
대 82
9.1%
광 82
9.1%
역 82
9.1%
시 82
9.1%
달 82
9.1%
서 82
9.1%
동 82
9.1%
현 14
 
1.6%
송 14
 
1.6%
Other values (29) 133
14.8%

주차구획수
Real number (ℝ)

Distinct71
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.933333
Minimum2
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T17:56:47.144281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q111
median20
Q340
95-th percentile184
Maximum341
Range339
Interquartile range (IQR)29

Descriptive statistics

Standard deviation56.383177
Coefficient of variation (CV)1.3774392
Kurtosis7.6036009
Mean40.933333
Median Absolute Deviation (MAD)13
Skewness2.6488112
Sum6754
Variance3179.0626
MonotonicityNot monotonic
2024-04-21T17:56:47.396623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 8
 
4.8%
18 7
 
4.2%
2 7
 
4.2%
4 7
 
4.2%
3 7
 
4.2%
17 6
 
3.6%
6 5
 
3.0%
13 5
 
3.0%
26 5
 
3.0%
23 5
 
3.0%
Other values (61) 103
62.4%
ValueCountFrequency (%)
2 7
4.2%
3 7
4.2%
4 7
4.2%
5 3
 
1.8%
6 5
3.0%
7 2
 
1.2%
8 2
 
1.2%
9 3
 
1.8%
10 2
 
1.2%
11 8
4.8%
ValueCountFrequency (%)
341 1
0.6%
276 1
0.6%
215 1
0.6%
207 1
0.6%
204 1
0.6%
195 1
0.6%
188 1
0.6%
185 1
0.6%
184 2
1.2%
172 1
0.6%

급지구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2
90 
3
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 90
54.5%
3 75
45.5%

Length

2024-04-21T17:56:47.636169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:47.810287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 90
54.5%
3 75
45.5%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
미시행
165 

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 165
100.0%

Length

2024-04-21T17:56:47.992310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:48.160848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 165
100.0%

운영요일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
평일+토요일+공휴일
165 

Length

Max length10
Median length10
Mean length10
Min length10

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+공휴일

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 165
100.0%

Length

2024-04-21T17:56:48.333638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:48.503531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 165
100.0%

평일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
145 
09:00
 
8
10:00
 
7
06:00
 
2
11:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row09:00
2nd row06:00
3rd row06:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 145
87.9%
09:00 8
 
4.8%
10:00 7
 
4.2%
06:00 2
 
1.2%
11:00 1
 
0.6%
08:00 1
 
0.6%
07:00 1
 
0.6%

Length

2024-04-21T17:56:48.679486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:48.874771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 145
87.9%
09:00 8
 
4.8%
10:00 7
 
4.2%
06:00 2
 
1.2%
11:00 1
 
0.6%
08:00 1
 
0.6%
07:00 1
 
0.6%

평일운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
145 
21:00
 
6
20:00
 
4
22:00
 
4
23:00
 
2
Other values (3)
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row20:00
2nd row23:00
3rd row23:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
00:00 145
87.9%
21:00 6
 
3.6%
20:00 4
 
2.4%
22:00 4
 
2.4%
23:00 2
 
1.2%
18:00 2
 
1.2%
17:00 1
 
0.6%
19:00 1
 
0.6%

Length

2024-04-21T17:56:49.084662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:49.285411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 145
87.9%
21:00 6
 
3.6%
20:00 4
 
2.4%
22:00 4
 
2.4%
23:00 2
 
1.2%
18:00 2
 
1.2%
17:00 1
 
0.6%
19:00 1
 
0.6%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
148 
09:00
 
8
10:00
 
6
06:00
 
2
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row09:00
2nd row06:00
3rd row06:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 148
89.7%
09:00 8
 
4.8%
10:00 6
 
3.6%
06:00 2
 
1.2%
07:00 1
 
0.6%

Length

2024-04-21T17:56:49.504521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:49.690354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 148
89.7%
09:00 8
 
4.8%
10:00 6
 
3.6%
06:00 2
 
1.2%
07:00 1
 
0.6%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
148 
21:00
 
6
22:00
 
4
20:00
 
3
23:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20:00
2nd row23:00
3rd row23:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
00:00 148
89.7%
21:00 6
 
3.6%
22:00 4
 
2.4%
20:00 3
 
1.8%
23:00 2
 
1.2%
18:00 2
 
1.2%

Length

2024-04-21T17:56:49.889069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:50.080322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 148
89.7%
21:00 6
 
3.6%
22:00 4
 
2.4%
20:00 3
 
1.8%
23:00 2
 
1.2%
18:00 2
 
1.2%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
152 
09:00
 
6
10:00
 
4
06:00
 
2
07:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row09:00
2nd row06:00
3rd row06:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 152
92.1%
09:00 6
 
3.6%
10:00 4
 
2.4%
06:00 2
 
1.2%
07:00 1
 
0.6%

Length

2024-04-21T17:56:50.283603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:50.470140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 152
92.1%
09:00 6
 
3.6%
10:00 4
 
2.4%
06:00 2
 
1.2%
07:00 1
 
0.6%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
152 
21:00
 
4
22:00
 
4
23:00
 
2
18:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row20:00
2nd row23:00
3rd row23:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 152
92.1%
21:00 4
 
2.4%
22:00 4
 
2.4%
23:00 2
 
1.2%
18:00 2
 
1.2%
20:00 1
 
0.6%

Length

2024-04-21T17:56:50.667782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:50.858958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 152
92.1%
21:00 4
 
2.4%
22:00 4
 
2.4%
23:00 2
 
1.2%
18:00 2
 
1.2%
20:00 1
 
0.6%

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
무료
146 
유료
 
11
혼합
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 146
88.5%
유료 11
 
6.7%
혼합 8
 
4.8%

Length

2024-04-21T17:56:51.062459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:51.239111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 146
88.5%
유료 11
 
6.7%
혼합 8
 
4.8%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1440
145 
30
19 
60
 
1

Length

Max length4
Median length4
Mean length3.7575758
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row30
2nd row1440
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
1440 145
87.9%
30 19
 
11.5%
60 1
 
0.6%

Length

2024-04-21T17:56:51.448124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:51.650087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1440 145
87.9%
30 19
 
11.5%
60 1
 
0.6%

주차기본요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
146 
300
 
12
200
 
6
400
 
1

Length

Max length3
Median length1
Mean length1.230303
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row300
2nd row0
3rd row400
4th row300
5th row300

Common Values

ValueCountFrequency (%)
0 146
88.5%
300 12
 
7.3%
200 6
 
3.6%
400 1
 
0.6%

Length

2024-04-21T17:56:51.869750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:52.076234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 146
88.5%
300 12
 
7.3%
200 6
 
3.6%
400 1
 
0.6%

추가단위시간
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
10
20 

Length

Max length4
Median length4
Mean length3.7575758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 145
87.9%
10 20
 
12.1%

Length

2024-04-21T17:56:52.494543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:52.693114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
87.9%
10 20
 
12.1%

추가단위요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
150
 
8
100
 
7
200
 
5

Length

Max length4
Median length4
Mean length3.8787879
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row150
2nd row<NA>
3rd row200
4th row150
5th row150

Common Values

ValueCountFrequency (%)
<NA> 145
87.9%
150 8
 
4.8%
100 7
 
4.2%
200 5
 
3.0%

Length

2024-04-21T17:56:52.882255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:53.073761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
87.9%
150 8
 
4.8%
100 7
 
4.2%
200 5
 
3.0%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
147 
3.5
15 
4.5
 
2
6.0
 
1

Length

Max length4
Median length4
Mean length3.8909091
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3.5
2nd row<NA>
3rd row3.5
4th row3.5
5th row3.5

Common Values

ValueCountFrequency (%)
<NA> 147
89.1%
3.5 15
 
9.1%
4.5 2
 
1.2%
6.0 1
 
0.6%

Length

2024-04-21T17:56:53.271175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:53.465330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
89.1%
3.5 15
 
9.1%
4.5 2
 
1.2%
6.0 1
 
0.6%

1일주차권요금
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
147 
3000
 
9
2000
 
6
5000
 
2
4000
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3000
2nd row<NA>
3rd row4000
4th row3000
5th row3000

Common Values

ValueCountFrequency (%)
<NA> 147
89.1%
3000 9
 
5.5%
2000 6
 
3.6%
5000 2
 
1.2%
4000 1
 
0.6%

Length

2024-04-21T17:56:53.659670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:53.850156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
89.1%
3000 9
 
5.5%
2000 6
 
3.6%
5000 2
 
1.2%
4000 1
 
0.6%

월정기권요금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)31.6%
Missing146
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean41052.632
Minimum20000
Maximum80000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T17:56:54.017801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000
5-th percentile20000
Q120000
median40000
Q345000
95-th percentile80000
Maximum80000
Range60000
Interquartile range (IQR)25000

Descriptive statistics

Standard deviation19690.589
Coefficient of variation (CV)0.47964255
Kurtosis-0.15659095
Mean41052.632
Median Absolute Deviation (MAD)20000
Skewness0.76401564
Sum780000
Variance3.877193 × 108
MonotonicityNot monotonic
2024-04-21T17:56:54.194320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40000 8
 
4.8%
20000 6
 
3.6%
80000 2
 
1.2%
50000 1
 
0.6%
60000 1
 
0.6%
70000 1
 
0.6%
(Missing) 146
88.5%
ValueCountFrequency (%)
20000 6
3.6%
40000 8
4.8%
50000 1
 
0.6%
60000 1
 
0.6%
70000 1
 
0.6%
80000 2
 
1.2%
ValueCountFrequency (%)
80000 2
 
1.2%
70000 1
 
0.6%
60000 1
 
0.6%
50000 1
 
0.6%
40000 8
4.8%
20000 6
3.6%

결제방법
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
현금
20 

Length

Max length4
Median length4
Mean length3.7575758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 145
87.9%
현금 20
 
12.1%

Length

2024-04-21T17:56:54.423786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:54.623423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
87.9%
현금 20
 
12.1%

특기사항
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인
 
14
정상금액 기준: 경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 친환경적, 저공해 자동차 60퍼센트할인, 성실납세자 면제(1년)
 
4
경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 요일제 20퍼센트, 성실납세자 면제
 
2

Length

Max length73
Median length4
Mean length11.575758
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인
2nd row<NA>
3rd row경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 요일제 20퍼센트, 성실납세자 면제
4th row경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인
5th row경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인

Common Values

ValueCountFrequency (%)
<NA> 145
87.9%
경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인 14
 
8.5%
정상금액 기준: 경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 친환경적, 저공해 자동차 60퍼센트할인, 성실납세자 면제(1년) 4
 
2.4%
경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 요일제 20퍼센트, 성실납세자 면제 2
 
1.2%

Length

2024-04-21T17:56:54.817726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:55.019718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
47.5%
50퍼센트할인 36
 
11.8%
장애인2시간면제 20
 
6.6%
경차60퍼센트할인 20
 
6.6%
하이브리드1600cc이하 16
 
5.2%
아이조아50퍼센트 14
 
4.6%
할인 14
 
4.6%
성실납세자 6
 
2.0%
자동차 4
 
1.3%
면제(1년 4
 
1.3%
Other values (8) 26
 
8.5%

관리기관명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대구광역시 달서구청
127 
대구광역시청
24 
대구광역시 시설관리공단
14 

Length

Max length12
Median length10
Mean length9.5878788
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 시설관리공단
2nd row대구광역시 달서구청
3rd row대구광역시 시설관리공단
4th row대구광역시 시설관리공단
5th row대구광역시 시설관리공단

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 127
77.0%
대구광역시청 24
 
14.5%
대구광역시 시설관리공단 14
 
8.5%

Length

2024-04-21T17:56:55.251538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:55.446114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 141
46.1%
달서구청 127
41.5%
대구광역시청 24
 
7.8%
시설관리공단 14
 
4.6%

전화번호
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
053-667-3092
123 
053-803-4885
23 
053-603-1195
15 
053-667-2656
 
4

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-603-1195
2nd row053-667-3092
3rd row053-603-1195
4th row053-603-1195
5th row053-603-1195

Common Values

ValueCountFrequency (%)
053-667-3092 123
74.5%
053-803-4885 23
 
13.9%
053-603-1195 15
 
9.1%
053-667-2656 4
 
2.4%

Length

2024-04-21T17:56:55.640826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:55.826282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3092 123
74.5%
053-803-4885 23
 
13.9%
053-603-1195 15
 
9.1%
053-667-2656 4
 
2.4%

위도
Real number (ℝ)

Distinct152
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.838464
Minimum35.798803
Maximum35.863417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T17:56:56.047615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.798803
5-th percentile35.811241
Q135.827308
median35.839615
Q335.8533
95-th percentile35.857788
Maximum35.863417
Range0.064614226
Interquartile range (IQR)0.025992008

Descriptive statistics

Standard deviation0.015938565
Coefficient of variation (CV)0.00044473348
Kurtosis-0.73135588
Mean35.838464
Median Absolute Deviation (MAD)0.0134509
Skewness-0.49312728
Sum5913.3465
Variance0.00025403785
MonotonicityNot monotonic
2024-04-21T17:56:56.307036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.835084842 4
 
2.4%
35.8384535171 3
 
1.8%
35.8552537534 2
 
1.2%
35.8615626498 2
 
1.2%
35.81385024 2
 
1.2%
35.8538456574 2
 
1.2%
35.8257300713 2
 
1.2%
35.8410150253 2
 
1.2%
35.8577846659 2
 
1.2%
35.85262612 2
 
1.2%
Other values (142) 142
86.1%
ValueCountFrequency (%)
35.7988027 1
0.6%
35.7988074675 1
0.6%
35.8060223532 1
0.6%
35.8071989737 1
0.6%
35.80723777 1
0.6%
35.80789636 1
0.6%
35.8087369676 1
0.6%
35.8090279441 1
0.6%
35.81121157 1
0.6%
35.81135675 1
0.6%
ValueCountFrequency (%)
35.8634169257 1
0.6%
35.86294972 1
0.6%
35.8626961277 1
0.6%
35.8615626498 2
1.2%
35.85950078 1
0.6%
35.8589686453 1
0.6%
35.8579391116 1
0.6%
35.85778812 1
0.6%
35.8577855994 1
0.6%
35.8577846659 2
1.2%

경도
Real number (ℝ)

Distinct152
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5338
Minimum128.47368
Maximum128.57232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T17:56:56.570194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.4928
Q1128.52187
median128.54052
Q3128.54915
95-th percentile128.5594
Maximum128.57232
Range0.09863992
Interquartile range (IQR)0.027289324

Descriptive statistics

Standard deviation0.021693928
Coefficient of variation (CV)0.00016877995
Kurtosis-0.4601193
Mean128.5338
Median Absolute Deviation (MAD)0.01072176
Skewness-0.72248322
Sum21208.077
Variance0.00047062653
MonotonicityNot monotonic
2024-04-21T17:56:56.821696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5488144543 4
 
2.4%
128.4925524629 3
 
1.8%
128.534966959 2
 
1.2%
128.5058539351 2
 
1.2%
128.537392 2
 
1.2%
128.4974502349 2
 
1.2%
128.5491549255 2
 
1.2%
128.5431658057 2
 
1.2%
128.5295605403 2
 
1.2%
128.5392595 2
 
1.2%
Other values (142) 142
86.1%
ValueCountFrequency (%)
128.4736769928 1
 
0.6%
128.4897338663 1
 
0.6%
128.4901304763 1
 
0.6%
128.4901450622 1
 
0.6%
128.4913712177 1
 
0.6%
128.4914709651 1
 
0.6%
128.4925524629 3
1.8%
128.493768833 1
 
0.6%
128.4939237672 1
 
0.6%
128.4939970227 1
 
0.6%
ValueCountFrequency (%)
128.5723169124 1
0.6%
128.5709285 1
0.6%
128.5698397 1
0.6%
128.5696124074 1
0.6%
128.5669048649 1
0.6%
128.5648200851 1
0.6%
128.5616533709 1
0.6%
128.5604325033 1
0.6%
128.559446134 1
0.6%
128.5592239683 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2020-03-17
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-17
2nd row2020-03-17
3rd row2020-03-17
4th row2020-03-17
5th row2020-03-17

Common Values

ValueCountFrequency (%)
2020-03-17 165
100.0%

Length

2024-04-21T17:56:57.042313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:56:57.211657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-17 165
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0156-2-000001상인1공영주차장공영노외대구광역시 달서구 상화북로 196-6<NA>872미시행평일+토요일+공휴일09:0020:0009:0020:0009:0020:00유료30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.812986128.5470582020-03-17
1156-2-000003능금공원(두류공영)주차장공영노외대구광역시 달서구 명덕로2길 57 (두류동)<NA>333미시행평일+토요일+공휴일06:0023:0006:0023:0006:0023:00무료14400<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구청053-667-309235.859501128.5709292020-03-17
2156-2-000004상인공영주차장공영노외대구광역시 달서구 상인서로 8-3대구광역시 달서구 상인동 15542763미시행평일+토요일+공휴일06:0023:0006:0023:0006:0023:00유료30400102003.5400050000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 요일제 20퍼센트, 성실납세자 면제대구광역시 시설관리공단053-603-119535.812165128.5470062020-03-17
3156-2-000005용산1공영주차장공영노외대구광역시 달서구 달구벌대로301길 173대구광역시 달서구 용산동 933-4712미시행평일+토요일+공휴일09:0020:0009:0020:0000:0000:00혼합30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.857502128.5313442020-03-17
4156-2-000006용산2공영주차장공영노외대구광역시 달서구 용산서로 10대구광역시 달서구 용산동 931-4832미시행평일+토요일+공휴일09:0020:0009:0020:0000:0000:00혼합30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.857785128.5295612020-03-17
5156-2-000007장기공영주차장공영노외대구광역시 달서구 장기로 277대구광역시 달서구 장기동 817-1262미시행평일+토요일+공휴일11:0020:0000:0000:0000:0000:00혼합30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.84335128.5299742020-03-17
6156-2-000008본리1공영주차장공영노외대구광역시 달서구 용산로 49대구광역시 달서구 본리동 1196582미시행평일+토요일+공휴일10:0021:0010:0021:0000:0000:00혼합30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.841719128.5304032020-03-17
7156-2-000009본리2공영주차장공영노외대구광역시 달서구 대명천로 284대구광역시 달서구 본리동 1196622미시행평일+토요일+공휴일10:0021:0010:0021:0000:0000:00혼합30300101503.5300040000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.841968128.5292392020-03-17
8156-2-000010진천환승공영(A구역)공영노외대구광역시 달서구 진천로9길 33대구광역시 달서구 진천동 626-31453미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구청053-667-309235.812221128.5228092020-03-17
9156-2-000011진천환승공영(B구역)공영노외대구광역시 달서구 진천로7길 36대구광역시 달서구 진천동 494-61843미시행평일+토요일+공휴일08:0017:0000:0000:0000:0000:00혼합30200101003.5200020000현금경차60퍼센트할인, 장애인2시간면제 50퍼센트할인, 하이브리드1600cc이하 50퍼센트할인, 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.811444128.5233712020-03-17
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