Overview

Dataset statistics

Number of variables33
Number of observations172
Missing cells293
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.5 KiB
Average record size in memory276.8 B

Variable types

Numeric5
Text6
Categorical22

Dataset

Description대구광역시 달서구_공영주차장 운영 현황_20221007
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15110071&dataSetDetailId=1511007118d7700f37571&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 (71.4%)Imbalance
평일운영종료시각 is highly imbalanced (70.9%)Imbalance
토요일운영시작시각 is highly imbalanced (70.9%)Imbalance
토요일운영종료시각 is highly imbalanced (71.3%)Imbalance
공휴일운영시작시각 is highly imbalanced (74.9%)Imbalance
공휴일운영종료시각 is highly imbalanced (76.2%)Imbalance
요금정보 is highly imbalanced (58.8%)Imbalance
주차기본시간 is highly imbalanced (64.1%)Imbalance
주차기본요금 is highly imbalanced (66.4%)Imbalance
추가단위시간 is highly imbalanced (67.4%)Imbalance
추가단위요금 is highly imbalanced (71.3%)Imbalance
1일주차권요금적용시간 is highly imbalanced (75.6%)Imbalance
1일주차권요금 is highly imbalanced (72.5%)Imbalance
결제방법 is highly imbalanced (77.0%)Imbalance
특기사항 has 140 (81.4%) missing valuesMissing
현장정보 has 153 (89.0%) missing valuesMissing
순번 has unique valuesUnique
주차장관리번호 has unique valuesUnique
월정기권요금 has 155 (90.1%) zerosZeros

Reproduction

Analysis started2023-12-10 19:04:40.911776
Analysis finished2023-12-10 19:04:41.640597
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.5
Minimum1
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:41.760912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.55
Q143.75
median86.5
Q3129.25
95-th percentile163.45
Maximum172
Range171
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation49.796252
Coefficient of variation (CV)0.57567921
Kurtosis-1.2
Mean86.5
Median Absolute Deviation (MAD)43
Skewness0
Sum14878
Variance2479.6667
MonotonicityStrictly increasing
2023-12-11T04:04:41.991558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (162) 162
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%

주차장관리번호
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:04:42.444999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2064
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

Unique172 ?
Unique (%)100.0%

Sample

1st row156-1-000001
2nd row156-1-000002
3rd row156-2-000035
4th row156-1-000003
5th row156-1-000004
ValueCountFrequency (%)
156-1-000001 1
 
0.6%
156-2-000057 1
 
0.6%
156-1-000086 1
 
0.6%
156-1-000075 1
 
0.6%
156-1-000076 1
 
0.6%
156-1-000077 1
 
0.6%
156-1-000078 1
 
0.6%
156-1-000079 1
 
0.6%
156-1-000080 1
 
0.6%
156-1-000081 1
 
0.6%
Other values (162) 162
94.2%
2023-12-11T04:04:43.055589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 718
34.8%
- 344
16.7%
1 341
16.5%
5 208
 
10.1%
6 201
 
9.7%
2 96
 
4.7%
3 38
 
1.8%
4 37
 
1.8%
9 27
 
1.3%
8 27
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1720
83.3%
Dash Punctuation 344
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 718
41.7%
1 341
19.8%
5 208
 
12.1%
6 201
 
11.7%
2 96
 
5.6%
3 38
 
2.2%
4 37
 
2.2%
9 27
 
1.6%
8 27
 
1.6%
7 27
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 718
34.8%
- 344
16.7%
1 341
16.5%
5 208
 
10.1%
6 201
 
9.7%
2 96
 
4.7%
3 38
 
1.8%
4 37
 
1.8%
9 27
 
1.3%
8 27
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 718
34.8%
- 344
16.7%
1 341
16.5%
5 208
 
10.1%
6 201
 
9.7%
2 96
 
4.7%
3 38
 
1.8%
4 37
 
1.8%
9 27
 
1.3%
8 27
 
1.3%

주차장명
Text

Distinct162
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:04:43.354210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.5232558
Min length5

Characters and Unicode

Total characters1638
Distinct characters173
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

Unique153 ?
Unique (%)89.0%

Sample

1st row갈산공원인근
2nd row감삼교회 인근
3rd row감삼동마을공영주차장
4th row감삼맨션 인근
5th row감삼보성청실아파트 인근
ValueCountFrequency (%)
인근 51
 
20.5%
주차장 9
 
3.6%
공영 9
 
3.6%
와룡로10길인근노상공영주차장 3
 
1.2%
성서공단남로36길 2
 
0.8%
든들마을 2
 
0.8%
성서공단로인근노상공영주차장 2
 
0.8%
서부지청인근 2
 
0.8%
월배로74서길인근 2
 
0.8%
공영주차장 2
 
0.8%
Other values (160) 165
66.3%
2023-12-11T04:04:43.880156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 117
 
7.1%
근 110
 
6.7%
공 88
 
5.4%
77
 
4.7%
장 75
 
4.6%
차 71
 
4.3%
주 70
 
4.3%
로 65
 
4.0%
영 63
 
3.8%
길 52
 
3.2%
Other values (163) 850
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1408
86.0%
Decimal Number 142
 
8.7%
Space Separator 77
 
4.7%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 117
 
8.3%
근 110
 
7.8%
공 88
 
6.2%
장 75
 
5.3%
차 71
 
5.0%
주 70
 
5.0%
로 65
 
4.6%
영 63
 
4.5%
길 52
 
3.7%
서 37
 
2.6%
Other values (146) 660
46.9%
Decimal Number
ValueCountFrequency (%)
2 29
20.4%
1 28
19.7%
3 17
12.0%
4 15
10.6%
5 13
9.2%
8 11
 
7.7%
6 10
 
7.0%
7 8
 
5.6%
0 6
 
4.2%
9 5
 
3.5%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1408
86.0%
Common 228
 
13.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 117
 
8.3%
근 110
 
7.8%
공 88
 
6.2%
장 75
 
5.3%
차 71
 
5.0%
주 70
 
5.0%
로 65
 
4.6%
영 63
 
4.5%
길 52
 
3.7%
서 37
 
2.6%
Other values (146) 660
46.9%
Common
ValueCountFrequency (%)
77
33.8%
2 29
 
12.7%
1 28
 
12.3%
3 17
 
7.5%
4 15
 
6.6%
5 13
 
5.7%
8 11
 
4.8%
6 10
 
4.4%
7 8
 
3.5%
0 6
 
2.6%
Other values (5) 14
 
6.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1408
86.0%
ASCII 228
 
13.9%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 117
 
8.3%
근 110
 
7.8%
공 88
 
6.2%
장 75
 
5.3%
차 71
 
5.0%
주 70
 
5.0%
로 65
 
4.6%
영 63
 
4.5%
길 52
 
3.7%
서 37
 
2.6%
Other values (146) 660
46.9%
ASCII
ValueCountFrequency (%)
77
33.8%
2 29
 
12.7%
1 28
 
12.3%
3 17
 
7.5%
4 15
 
6.6%
5 13
 
5.7%
8 11
 
4.8%
6 10
 
4.4%
7 8
 
3.5%
0 6
 
2.6%
Other values (6) 14
 
6.1%
None
ValueCountFrequency (%)
· 2
100.0%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
공영
172 

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 172
100.0%

Length

2023-12-11T04:04:44.126608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:44.277742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 172
100.0%

주차장유형
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
노상
113 
노외
59 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노상 113
65.7%
노외 59
34.3%

Length

2023-12-11T04:04:44.430762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:44.677832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 113
65.7%
노외 59
34.3%

소재지도로명주소
Text

Distinct159
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:04:45.128489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length18.662791
Min length15

Characters and Unicode

Total characters3210
Distinct characters86
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

Unique150 ?
Unique (%)87.2%

Sample

1st row대구광역시 달서구 성서공단북로 250
2nd row대구광역시 달서구 감삼남1길 58
3rd row대구광역시 달서구 당산로21안길 6
4th row대구광역시 달서구 달구벌대로332길 78
5th row대구광역시 달서구 달구벌대로323길 39
ValueCountFrequency (%)
대구광역시 172
24.9%
달서구 172
24.9%
30 6
 
0.9%
14 5
 
0.7%
월배로 5
 
0.7%
33 5
 
0.7%
와룡로51길 5
 
0.7%
신당로 4
 
0.6%
상화북로 4
 
0.6%
26 4
 
0.6%
Other values (211) 310
44.8%
2023-12-11T04:04:45.823332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
520
16.2%
구 355
 
11.1%
서 209
 
6.5%
대 191
 
6.0%
달 185
 
5.8%
광 172
 
5.4%
역 172
 
5.4%
시 172
 
5.4%
로 158
 
4.9%
1 103
 
3.2%
Other values (76) 973
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2098
65.4%
Decimal Number 568
 
17.7%
Space Separator 520
 
16.2%
Dash Punctuation 16
 
0.5%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 355
16.9%
서 209
10.0%
대 191
9.1%
달 185
8.8%
광 172
8.2%
역 172
8.2%
시 172
8.2%
로 158
7.5%
길 102
 
4.9%
월 23
 
1.1%
Other values (62) 359
17.1%
Decimal Number
ValueCountFrequency (%)
1 103
18.1%
2 79
13.9%
3 75
13.2%
6 57
10.0%
5 55
9.7%
4 54
9.5%
7 49
8.6%
8 35
 
6.2%
0 33
 
5.8%
9 28
 
4.9%
Space Separator
ValueCountFrequency (%)
520
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2098
65.4%
Common 1112
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 355
16.9%
서 209
10.0%
대 191
9.1%
달 185
8.8%
광 172
8.2%
역 172
8.2%
시 172
8.2%
로 158
7.5%
길 102
 
4.9%
월 23
 
1.1%
Other values (62) 359
17.1%
Common
ValueCountFrequency (%)
520
46.8%
1 103
 
9.3%
2 79
 
7.1%
3 75
 
6.7%
6 57
 
5.1%
5 55
 
4.9%
4 54
 
4.9%
7 49
 
4.4%
8 35
 
3.1%
0 33
 
3.0%
Other values (4) 52
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2098
65.4%
ASCII 1112
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
520
46.8%
1 103
 
9.3%
2 79
 
7.1%
3 75
 
6.7%
6 57
 
5.1%
5 55
 
4.9%
4 54
 
4.9%
7 49
 
4.4%
8 35
 
3.1%
0 33
 
3.0%
Other values (4) 52
 
4.7%
Hangul
ValueCountFrequency (%)
구 355
16.9%
서 209
10.0%
대 191
9.1%
달 185
8.8%
광 172
8.2%
역 172
8.2%
시 172
8.2%
로 158
7.5%
길 102
 
4.9%
월 23
 
1.1%
Other values (62) 359
17.1%

소재지지번주소
Text

Distinct157
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:04:46.463379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.75
Min length16

Characters and Unicode

Total characters3225
Distinct characters51
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

Unique147 ?
Unique (%)85.5%

Sample

1st row대구광역시 달서구 갈산동 산51-4
2nd row대구광역시 달서구 감삼동 163-1
3rd row대구광역시 달서구 감삼동 203-6
4th row대구광역시 달서구 감삼동 118-2
5th row대구광역시 달서구 감삼동 40-1
ValueCountFrequency (%)
대구광역시 172
25.0%
달서구 172
25.0%
송현동 32
 
4.7%
죽전동 15
 
2.2%
성당동 15
 
2.2%
상인동 15
 
2.2%
용산동 11
 
1.6%
감삼동 10
 
1.5%
월암동 10
 
1.5%
신당동 10
 
1.5%
Other values (172) 226
32.8%
2023-12-11T04:04:47.210742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
16.0%
구 344
 
10.7%
대 176
 
5.5%
광 172
 
5.3%
역 172
 
5.3%
시 172
 
5.3%
달 172
 
5.3%
서 172
 
5.3%
동 172
 
5.3%
1 152
 
4.7%
Other values (41) 1005
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1891
58.6%
Decimal Number 708
 
22.0%
Space Separator 516
 
16.0%
Dash Punctuation 110
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 344
18.2%
대 176
9.3%
광 172
9.1%
역 172
9.1%
시 172
9.1%
달 172
9.1%
서 172
9.1%
동 172
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 275
14.5%
Decimal Number
ValueCountFrequency (%)
1 152
21.5%
2 76
10.7%
9 72
10.2%
3 70
9.9%
4 65
9.2%
5 65
9.2%
8 63
8.9%
0 49
 
6.9%
6 48
 
6.8%
7 48
 
6.8%
Space Separator
ValueCountFrequency (%)
516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1891
58.6%
Common 1334
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 344
18.2%
대 176
9.3%
광 172
9.1%
역 172
9.1%
시 172
9.1%
달 172
9.1%
서 172
9.1%
동 172
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 275
14.5%
Common
ValueCountFrequency (%)
516
38.7%
1 152
 
11.4%
- 110
 
8.2%
2 76
 
5.7%
9 72
 
5.4%
3 70
 
5.2%
4 65
 
4.9%
5 65
 
4.9%
8 63
 
4.7%
0 49
 
3.7%
Other values (2) 96
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1891
58.6%
ASCII 1334
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
38.7%
1 152
 
11.4%
- 110
 
8.2%
2 76
 
5.7%
9 72
 
5.4%
3 70
 
5.2%
4 65
 
4.9%
5 65
 
4.9%
8 63
 
4.7%
0 49
 
3.7%
Other values (2) 96
 
7.2%
Hangul
ValueCountFrequency (%)
구 344
18.2%
대 176
9.3%
광 172
9.1%
역 172
9.1%
시 172
9.1%
달 172
9.1%
서 172
9.1%
동 172
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 275
14.5%

주차구획수
Real number (ℝ)

Distinct69
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.406977
Minimum2
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:47.455008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q111
median20
Q342
95-th percentile170.35
Maximum341
Range339
Interquartile range (IQR)31

Descriptive statistics

Standard deviation52.332915
Coefficient of variation (CV)1.3280114
Kurtosis8.2421901
Mean39.406977
Median Absolute Deviation (MAD)13
Skewness2.6528276
Sum6778
Variance2738.734
MonotonicityNot monotonic
2023-12-11T04:04:47.704989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 8
 
4.7%
2 7
 
4.1%
18 7
 
4.1%
3 7
 
4.1%
4 6
 
3.5%
13 6
 
3.5%
6 6
 
3.5%
16 5
 
2.9%
23 5
 
2.9%
17 5
 
2.9%
Other values (59) 110
64.0%
ValueCountFrequency (%)
2 7
4.1%
3 7
4.1%
4 6
3.5%
5 4
2.3%
6 6
3.5%
7 2
 
1.2%
8 4
2.3%
9 3
 
1.7%
10 3
 
1.7%
11 8
4.7%
ValueCountFrequency (%)
341 1
0.6%
215 1
0.6%
207 1
0.6%
195 1
0.6%
188 1
0.6%
187 1
0.6%
185 1
0.6%
184 1
0.6%
172 1
0.6%
169 2
1.2%

급지구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
96 
3
76 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 96
55.8%
3 76
44.2%

Length

2023-12-11T04:04:47.897518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:48.064775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 96
55.8%
3 76
44.2%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
미시행
172 

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 172
100.0%

Length

2023-12-11T04:04:48.210250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:48.376257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 172
100.0%

운영요일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
평일+토요일+공휴일
172 

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 172
100.0%

Length

2023-12-11T04:04:48.551802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:48.703446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 172
100.0%

평일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
150 
09:00
 
10
10:00
 
7
07:00
 
2
06:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 150
87.2%
09:00 10
 
5.8%
10:00 7
 
4.1%
07:00 2
 
1.2%
06:00 1
 
0.6%
11:00 1
 
0.6%
08:00 1
 
0.6%

Length

2023-12-11T04:04:49.193594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:49.441142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 150
87.2%
09:00 10
 
5.8%
10:00 7
 
4.1%
07:00 2
 
1.2%
06:00 1
 
0.6%
11:00 1
 
0.6%
08:00 1
 
0.6%

평일운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
150 
21:00
 
6
22:00
 
5
20:00
 
5
23:00
 
2
Other values (3)
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 150
87.2%
21:00 6
 
3.5%
22:00 5
 
2.9%
20:00 5
 
2.9%
23:00 2
 
1.2%
18:00 2
 
1.2%
19:00 1
 
0.6%
17:00 1
 
0.6%

Length

2023-12-11T04:04:49.670589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:49.919939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 150
87.2%
21:00 6
 
3.5%
22:00 5
 
2.9%
20:00 5
 
2.9%
23:00 2
 
1.2%
18:00 2
 
1.2%
19:00 1
 
0.6%
17:00 1
 
0.6%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
153 
09:00
 
10
10:00
 
6
07:00
 
2
06:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 153
89.0%
09:00 10
 
5.8%
10:00 6
 
3.5%
07:00 2
 
1.2%
06:00 1
 
0.6%

Length

2023-12-11T04:04:50.115404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:50.272435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 153
89.0%
09:00 10
 
5.8%
10:00 6
 
3.5%
07:00 2
 
1.2%
06:00 1
 
0.6%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
153 
21:00
 
6
22:00
 
5
20:00
 
4
23:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 153
89.0%
21:00 6
 
3.5%
22:00 5
 
2.9%
20:00 4
 
2.3%
23:00 2
 
1.2%
18:00 2
 
1.2%

Length

2023-12-11T04:04:50.464492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:50.675956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 153
89.0%
21:00 6
 
3.5%
22:00 5
 
2.9%
20:00 4
 
2.3%
23:00 2
 
1.2%
18:00 2
 
1.2%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
157 
09:00
 
7
10:00
 
4
06:00
 
2
07:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 157
91.3%
09:00 7
 
4.1%
10:00 4
 
2.3%
06:00 2
 
1.2%
07:00 2
 
1.2%

Length

2023-12-11T04:04:50.864318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:51.038134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 157
91.3%
09:00 7
 
4.1%
10:00 4
 
2.3%
06:00 2
 
1.2%
07:00 2
 
1.2%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
157 
22:00
 
5
21:00
 
4
23:00
 
3
18:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 157
91.3%
22:00 5
 
2.9%
21:00 4
 
2.3%
23:00 3
 
1.7%
18:00 2
 
1.2%
20:00 1
 
0.6%

Length

2023-12-11T04:04:51.198918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:51.365548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 157
91.3%
22:00 5
 
2.9%
21:00 4
 
2.3%
23:00 3
 
1.7%
18:00 2
 
1.2%
20:00 1
 
0.6%

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
무료
151 
유료
 
13
혼합
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 151
87.8%
유료 13
 
7.6%
혼합 8
 
4.7%

Length

2023-12-11T04:04:51.550500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:51.707092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 151
87.8%
유료 13
 
7.6%
혼합 8
 
4.7%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1440
151 
30
20 
120
 
1

Length

Max length4
Median length4
Mean length3.7616279
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1440 151
87.8%
30 20
 
11.6%
120 1
 
0.6%

Length

2023-12-11T04:04:51.889744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:52.076026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1440 151
87.8%
30 20
 
11.6%
120 1
 
0.6%

주차기본요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
151 
300
 
14
200
 
6
1000
 
1

Length

Max length4
Median length1
Mean length1.25
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 151
87.8%
300 14
 
8.1%
200 6
 
3.5%
1000 1
 
0.6%

Length

2023-12-11T04:04:52.283194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:52.510954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 151
87.8%
300 14
 
8.1%
200 6
 
3.5%
1000 1
 
0.6%

추가단위시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
154 
10
17 
120
 
1

Length

Max length3
Median length1
Mean length1.1104651
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 154
89.5%
10 17
 
9.9%
120 1
 
0.6%

Length

2023-12-11T04:04:52.698408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:52.893319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 154
89.5%
10 17
 
9.9%
120 1
 
0.6%

추가단위요금
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
154 
150
 
8
100
 
5
200
 
4
1000
 
1

Length

Max length4
Median length1
Mean length1.2151163
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 154
89.5%
150 8
 
4.7%
100 5
 
2.9%
200 4
 
2.3%
1000 1
 
0.6%

Length

2023-12-11T04:04:53.086763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:53.283519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 154
89.5%
150 8
 
4.7%
100 5
 
2.9%
200 4
 
2.3%
1000 1
 
0.6%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0.0
161 
3.5
 
9
4.5
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 161
93.6%
3.5 9
 
5.2%
4.5 2
 
1.2%

Length

2023-12-11T04:04:53.453100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:53.587359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 161
93.6%
3.5 9
 
5.2%
4.5 2
 
1.2%

1일주차권요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
157 
3000
 
8
2000
 
5
5000
 
2

Length

Max length4
Median length1
Mean length1.2616279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 157
91.3%
3000 8
 
4.7%
2000 5
 
2.9%
5000 2
 
1.2%

Length

2023-12-11T04:04:53.746026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:53.882589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 157
91.3%
3000 8
 
4.7%
2000 5
 
2.9%
5000 2
 
1.2%

월정기권요금
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4011.6279
Minimum0
Maximum80000
Zeros155
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:54.003158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40000
Maximum80000
Range80000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13707.892
Coefficient of variation (CV)3.4170397
Kurtosis15.411939
Mean4011.6279
Median Absolute Deviation (MAD)0
Skewness3.8617886
Sum690000
Variance1.879063 × 108
MonotonicityNot monotonic
2023-12-11T04:04:54.139538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 155
90.1%
40000 7
 
4.1%
20000 6
 
3.5%
80000 2
 
1.2%
70000 1
 
0.6%
60000 1
 
0.6%
ValueCountFrequency (%)
0 155
90.1%
20000 6
 
3.5%
40000 7
 
4.1%
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%
40000 7
 
4.1%
20000 6
 
3.5%
0 155
90.1%

결제방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
157 
현금
 
11
현금 카드
 
2
신용카드
 
1
0
 
1

Length

Max length5
Median length4
Mean length3.8662791
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
91.3%
현금 11
 
6.4%
현금 카드 2
 
1.2%
신용카드 1
 
0.6%
0 1
 
0.6%

Length

2023-12-11T04:04:54.335040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:54.520099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
90.2%
현금 13
 
7.5%
카드 2
 
1.1%
신용카드 1
 
0.6%
0 1
 
0.6%

특기사항
Text

MISSING 

Distinct18
Distinct (%)56.2%
Missing140
Missing (%)81.4%
Memory size1.5 KiB
2023-12-11T04:04:54.769767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length69
Mean length37.5625
Min length2

Characters and Unicode

Total characters1202
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)46.9%

Sample

1st row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인
2nd row정상금액 기준: 경차60퍼센트할인 장애인2시간면제 50퍼센트할인 친환경적 저공해 자동차 60퍼센트할인 성실납세자 면제(1년)
3rd row실측대상없음
4th row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인
5th row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인
ValueCountFrequency (%)
50퍼센트할인 23
 
12.4%
경차60퍼센트할인 14
 
7.6%
장애인2시간면제 14
 
7.6%
하이브리드1600cc이하 9
 
4.9%
아이조아50퍼센트 8
 
4.3%
할인 8
 
4.3%
없음 6
 
3.2%
성실납세자 6
 
3.2%
자동차 5
 
2.7%
60퍼센트할인 5
 
2.7%
Other values (58) 87
47.0%
2023-12-11T04:04:55.231977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
13.0%
0 74
 
6.2%
인 66
 
5.5%
퍼 51
 
4.2%
센 51
 
4.2%
트 51
 
4.2%
할 50
 
4.2%
차 37
 
3.1%
5 32
 
2.7%
6 30
 
2.5%
Other values (111) 604
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 821
68.3%
Decimal Number 177
 
14.7%
Space Separator 156
 
13.0%
Lowercase Letter 20
 
1.7%
Other Punctuation 9
 
0.7%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 66
 
8.0%
퍼 51
 
6.2%
센 51
 
6.2%
트 51
 
6.2%
할 50
 
6.1%
차 37
 
4.5%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.4%
면 20
 
2.4%
Other values (94) 425
51.8%
Decimal Number
ValueCountFrequency (%)
0 74
41.8%
5 32
18.1%
6 30
16.9%
1 20
 
11.3%
2 16
 
9.0%
4 2
 
1.1%
3 2
 
1.1%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 18
90.0%
t 1
 
5.0%
x 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 821
68.3%
Common 361
30.0%
Latin 20
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 66
 
8.0%
퍼 51
 
6.2%
센 51
 
6.2%
트 51
 
6.2%
할 50
 
6.1%
차 37
 
4.5%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.4%
면 20
 
2.4%
Other values (94) 425
51.8%
Common
ValueCountFrequency (%)
156
43.2%
0 74
20.5%
5 32
 
8.9%
6 30
 
8.3%
1 20
 
5.5%
2 16
 
4.4%
) 8
 
2.2%
( 8
 
2.2%
: 7
 
1.9%
- 3
 
0.8%
Other values (4) 7
 
1.9%
Latin
ValueCountFrequency (%)
c 18
90.0%
t 1
 
5.0%
x 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
68.3%
ASCII 381
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
40.9%
0 74
19.4%
5 32
 
8.4%
6 30
 
7.9%
1 20
 
5.2%
c 18
 
4.7%
2 16
 
4.2%
) 8
 
2.1%
( 8
 
2.1%
: 7
 
1.8%
Other values (7) 12
 
3.1%
Hangul
ValueCountFrequency (%)
인 66
 
8.0%
퍼 51
 
6.2%
센 51
 
6.2%
트 51
 
6.2%
할 50
 
6.1%
차 37
 
4.5%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.4%
면 20
 
2.4%
Other values (94) 425
51.8%

관리기관명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시 달서구청
133 
대구광역시청
24 
대구광역시 시설관리공단
15 

Length

Max length12
Median length10
Mean length9.6162791
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 133
77.3%
대구광역시청 24
 
14.0%
대구광역시 시설관리공단 15
 
8.7%

Length

2023-12-11T04:04:55.450793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:55.609187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 148
46.2%
달서구청 133
41.6%
대구광역시청 24
 
7.5%
시설관리공단 15
 
4.7%

관리기관전화번호
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
053-667-3092
128 
053-803-4885
23 
053-603-1195
15 
053-667-2656
 
5
053-603-4054
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row053-803-4885
2nd row053-667-3092
3rd row053-667-3092
4th row053-667-3092
5th row053-667-3092

Common Values

ValueCountFrequency (%)
053-667-3092 128
74.4%
053-803-4885 23
 
13.4%
053-603-1195 15
 
8.7%
053-667-2656 5
 
2.9%
053-603-4054 1
 
0.6%

Length

2023-12-11T04:04:55.773322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:55.961014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3092 128
74.4%
053-803-4885 23
 
13.4%
053-603-1195 15
 
8.7%
053-667-2656 5
 
2.9%
053-603-4054 1
 
0.6%

위도
Real number (ℝ)

Distinct161
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837452
Minimum35.79416
Maximum35.863418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:56.173228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.79416
5-th percentile35.807221
Q135.826204
median35.838479
Q335.853243
95-th percentile35.857787
Maximum35.863418
Range0.06925741
Interquartile range (IQR)0.027038885

Descriptive statistics

Standard deviation0.017057483
Coefficient of variation (CV)0.00047596806
Kurtosis-0.47466607
Mean35.837452
Median Absolute Deviation (MAD)0.013481555
Skewness-0.63217873
Sum6164.0418
Variance0.00029095771
MonotonicityNot monotonic
2023-12-11T04:04:56.409445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83702469 4
 
2.3%
35.83845458 3
 
1.7%
35.85262612 2
 
1.2%
35.7988027 2
 
1.2%
35.82573061 2
 
1.2%
35.85384502 2
 
1.2%
35.81251364 2
 
1.2%
35.85525018 2
 
1.2%
35.85261176 1
 
0.6%
35.85426241 1
 
0.6%
Other values (151) 151
87.8%
ValueCountFrequency (%)
35.79416021 1
0.6%
35.79444077 1
0.6%
35.79706025 1
0.6%
35.7988027 2
1.2%
35.79880604 1
0.6%
35.79966983 1
0.6%
35.8060227 1
0.6%
35.80720022 1
0.6%
35.80723777 1
0.6%
35.80789636 1
0.6%
ValueCountFrequency (%)
35.86341762 1
0.6%
35.86294972 1
0.6%
35.86269431 1
0.6%
35.85950078 1
0.6%
35.85896844 1
0.6%
35.85794243 1
0.6%
35.85778891 1
0.6%
35.85778877 1
0.6%
35.85778773 1
0.6%
35.85778569 1
0.6%

경도
Real number (ℝ)

Distinct161
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53455
Minimum128.47368
Maximum128.5734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:56.600919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.49322
Q1128.52266
median128.54078
Q3128.54968
95-th percentile128.55989
Maximum128.5734
Range0.0997203
Interquartile range (IQR)0.027020225

Descriptive statistics

Standard deviation0.021666805
Coefficient of variation (CV)0.00016856795
Kurtosis-0.36898548
Mean128.53455
Median Absolute Deviation (MAD)0.01097395
Skewness-0.73500832
Sum22107.942
Variance0.00046945044
MonotonicityNot monotonic
2023-12-11T04:04:56.809113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5490605 4
 
2.3%
128.4925543 3
 
1.7%
128.5392595 2
 
1.2%
128.5482878 2
 
1.2%
128.5491485 2
 
1.2%
128.4974507 2
 
1.2%
128.5399834 2
 
1.2%
128.5349705 2
 
1.2%
128.5604336 1
 
0.6%
128.5341446 1
 
0.6%
Other values (151) 151
87.8%
ValueCountFrequency (%)
128.4736813 1
 
0.6%
128.4897346 1
 
0.6%
128.4901308 1
 
0.6%
128.4901451 1
 
0.6%
128.4911819 1
 
0.6%
128.4913688 1
 
0.6%
128.4925543 3
1.7%
128.4937704 1
 
0.6%
128.493922 1
 
0.6%
128.4939955 1
 
0.6%
ValueCountFrequency (%)
128.5734016 1
0.6%
128.5724581 1
0.6%
128.5709285 1
0.6%
128.5698397 1
0.6%
128.5696105 1
0.6%
128.5669003 1
0.6%
128.564821 1
0.6%
128.5616516 1
0.6%
128.5604336 1
0.6%
128.559447 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-10-07
172 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-07
2nd row2022-10-07
3rd row2022-10-07
4th row2022-10-07
5th row2022-10-07

Common Values

ValueCountFrequency (%)
2022-10-07 172
100.0%

Length

2023-12-11T04:04:57.009580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:57.162844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-07 172
100.0%

현장정보
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing153
Missing (%)89.0%
Memory size1.5 KiB
2023-12-11T04:04:57.407572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length17.052632
Min length17

Characters and Unicode

Total characters324
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row1659663652041.jpg
2nd row1659663745524.jpg
3rd row1659663956513.jpg
4th row1659664904382.jpg
5th row1659663900247.jpg
ValueCountFrequency (%)
1659663652041.jpg 1
 
5.3%
1659666065569.jpg 1
 
5.3%
1659666767600.jpg 1
 
5.3%
1659666815044.jpg 1
 
5.3%
1659530844927.jpg 1
 
5.3%
1659530996436.jpg 1
 
5.3%
1660020392462.jpeg 1
 
5.3%
1659409610892.jpg 1
 
5.3%
1659666087610.jpg 1
 
5.3%
1659666714668.jpg 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T04:04:57.849386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 74
22.8%
9 36
11.1%
5 31
9.6%
1 27
 
8.3%
0 21
 
6.5%
. 19
 
5.9%
j 19
 
5.9%
p 19
 
5.9%
g 19
 
5.9%
4 16
 
4.9%
Other values (5) 43
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
76.2%
Lowercase Letter 58
 
17.9%
Other Punctuation 19
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 74
30.0%
9 36
14.6%
5 31
12.6%
1 27
 
10.9%
0 21
 
8.5%
4 16
 
6.5%
3 13
 
5.3%
2 11
 
4.5%
7 10
 
4.0%
8 8
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
j 19
32.8%
p 19
32.8%
g 19
32.8%
e 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
82.1%
Latin 58
 
17.9%

Most frequent character per script

Common
ValueCountFrequency (%)
6 74
27.8%
9 36
13.5%
5 31
11.7%
1 27
 
10.2%
0 21
 
7.9%
. 19
 
7.1%
4 16
 
6.0%
3 13
 
4.9%
2 11
 
4.1%
7 10
 
3.8%
Latin
ValueCountFrequency (%)
j 19
32.8%
p 19
32.8%
g 19
32.8%
e 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 74
22.8%
9 36
11.1%
5 31
9.6%
1 27
 
8.3%
0 21
 
6.5%
. 19
 
5.9%
j 19
 
5.9%
p 19
 
5.9%
g 19
 
5.9%
4 16
 
4.9%
Other values (5) 43
13.3%

Sample

순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명관리기관전화번호위도경도데이터기준일자현장정보
01156-1-000001갈산공원인근공영노상대구광역시 달서구 성서공단북로 250대구광역시 달서구 갈산동 산51-41443미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시청053-803-488535.844429128.5003162022-10-07<NA>
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34156-1-000003감삼맨션 인근공영노상대구광역시 달서구 달구벌대로332길 78대구광역시 달서구 감삼동 118-222미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-309235.850873128.5463222022-10-071659663956513.jpg
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순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명관리기관전화번호위도경도데이터기준일자현장정보
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169170156-2-000016호산공영주차장공영노외대구광역시 달서구 달서대로95길 14대구광역시 달서구 호산동 714-12073미시행평일+토요일+공휴일10:0021:0010:0021:0010:0021:00유료30200101003.5200020000현금경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-119535.842214128.4901312022-10-07<NA>
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