Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory266.0 B

Variable types

Numeric26
Text1
DateTime1
Categorical1

Dataset

Description부산교통공사_시간대별승하차인원_20181231
Author부산교통공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057229

Alerts

01시-02시 is highly skewed (γ1 = 43.47614942)Skewed
04시-05시 is highly skewed (γ1 = 88.28482665)Skewed
01시-02시 has 9181 (91.8%) zerosZeros
02시-03시 has 9338 (93.4%) zerosZeros
03시-04시 has 9582 (95.8%) zerosZeros
04시-05시 has 5152 (51.5%) zerosZeros
24시-01시 has 548 (5.5%) zerosZeros

Reproduction

Analysis started2023-12-10 16:15:47.512268
Analysis finished2023-12-10 16:15:48.143940
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역번호
Real number (ℝ)

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.0455
Minimum95
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:48.282416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile101
Q1123
median217
Q3303
95-th percentile409
Maximum414
Range319
Interquartile range (IQR)180

Descriptive statistics

Standard deviation96.981118
Coefficient of variation (CV)0.44274417
Kurtosis-0.66854087
Mean219.0455
Median Absolute Deviation (MAD)90
Skewness0.54071967
Sum2190455
Variance9405.3372
MonotonicityNot monotonic
2023-12-11T01:15:48.517212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225 110
 
1.1%
134 107
 
1.1%
221 105
 
1.1%
127 104
 
1.0%
126 104
 
1.0%
101 103
 
1.0%
308 101
 
1.0%
217 101
 
1.0%
413 100
 
1.0%
310 100
 
1.0%
Other values (103) 8965
89.6%
ValueCountFrequency (%)
95 98
1.0%
96 65
0.7%
97 90
0.9%
98 81
0.8%
99 75
0.8%
100 89
0.9%
101 103
1.0%
102 79
0.8%
103 94
0.9%
104 85
0.9%
ValueCountFrequency (%)
414 92
0.9%
413 100
1.0%
412 89
0.9%
411 87
0.9%
410 98
1.0%
409 78
0.8%
408 95
0.9%
407 80
0.8%
406 92
0.9%
405 100
1.0%

역명
Text

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:15:48.992865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8361
Min length3

Characters and Unicode

Total characters38361
Distinct characters132
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row범 일
2nd row3연산
3rd row대 티
4th row해운대
5th row노 포
ValueCountFrequency (%)
540
 
3.3%
458
 
2.8%
448
 
2.7%
436
 
2.6%
427
 
2.6%
374
 
2.3%
353
 
2.1%
339
 
2.1%
339
 
2.1%
337
 
2.0%
Other values (117) 12446
75.4%
2023-12-11T01:15:49.699366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12994
33.9%
1605
 
4.2%
1482
 
3.9%
945
 
2.5%
714
 
1.9%
710
 
1.9%
703
 
1.8%
647
 
1.7%
563
 
1.5%
521
 
1.4%
Other values (122) 17477
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24660
64.3%
Space Separator 12994
33.9%
Decimal Number 707
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1605
 
6.5%
1482
 
6.0%
945
 
3.8%
714
 
2.9%
710
 
2.9%
703
 
2.9%
647
 
2.6%
563
 
2.3%
521
 
2.1%
469
 
1.9%
Other values (117) 16301
66.1%
Decimal Number
ValueCountFrequency (%)
1 258
36.5%
2 179
25.3%
3 178
25.2%
4 92
 
13.0%
Space Separator
ValueCountFrequency (%)
12994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24660
64.3%
Common 13701
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1605
 
6.5%
1482
 
6.0%
945
 
3.8%
714
 
2.9%
710
 
2.9%
703
 
2.9%
647
 
2.6%
563
 
2.3%
521
 
2.1%
469
 
1.9%
Other values (117) 16301
66.1%
Common
ValueCountFrequency (%)
12994
94.8%
1 258
 
1.9%
2 179
 
1.3%
3 178
 
1.3%
4 92
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24660
64.3%
ASCII 13701
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12994
94.8%
1 258
 
1.9%
2 179
 
1.3%
3 178
 
1.3%
4 92
 
0.7%
Hangul
ValueCountFrequency (%)
1605
 
6.5%
1482
 
6.0%
945
 
3.8%
714
 
2.9%
710
 
2.9%
703
 
2.9%
647
 
2.6%
563
 
2.3%
521
 
2.1%
469
 
1.9%
Other values (117) 16301
66.1%
Distinct365
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-01-01 00:00:00
Maximum2018-12-31 00:00:00
2023-12-11T01:15:49.916616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:50.137614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5103 
하차
4897 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승차
2nd row승차
3rd row하차
4th row승차
5th row승차

Common Values

ValueCountFrequency (%)
승차 5103
51.0%
하차 4897
49.0%

Length

2023-12-11T01:15:50.363985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:15:50.505399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5103
51.0%
하차 4897
49.0%

합계
Real number (ℝ)

Distinct7335
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8194.3726
Minimum10
Maximum58365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:50.653868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile1424.9
Q13454.75
median5676.5
Q310766
95-th percentile22557.7
Maximum58365
Range58355
Interquartile range (IQR)7311.25

Descriptive statistics

Standard deviation7108.4863
Coefficient of variation (CV)0.8674839
Kurtosis4.9750175
Mean8194.3726
Median Absolute Deviation (MAD)2826.5
Skewness1.9193404
Sum81943726
Variance50530578
MonotonicityNot monotonic
2023-12-11T01:15:50.860567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3571 6
 
0.1%
4605 5
 
0.1%
5078 5
 
0.1%
4927 5
 
0.1%
4424 5
 
0.1%
3899 5
 
0.1%
2159 5
 
0.1%
5369 5
 
0.1%
4810 5
 
0.1%
2467 5
 
0.1%
Other values (7325) 9949
99.5%
ValueCountFrequency (%)
10 1
< 0.1%
46 1
< 0.1%
50 1
< 0.1%
52 1
< 0.1%
55 1
< 0.1%
61 1
< 0.1%
62 1
< 0.1%
72 1
< 0.1%
73 1
< 0.1%
75 1
< 0.1%
ValueCountFrequency (%)
58365 1
< 0.1%
55033 1
< 0.1%
53011 1
< 0.1%
52742 1
< 0.1%
52610 1
< 0.1%
51438 1
< 0.1%
49777 1
< 0.1%
49441 1
< 0.1%
48974 1
< 0.1%
48606 1
< 0.1%

01시-02시
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2277
Minimum0
Maximum122
Zeros9181
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:51.028869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum122
Range122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7063247
Coefficient of variation (CV)7.4937403
Kurtosis2779.4494
Mean0.2277
Median Absolute Deviation (MAD)0
Skewness43.476149
Sum2277
Variance2.9115439
MonotonicityNot monotonic
2023-12-11T01:15:51.181183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9181
91.8%
1 317
 
3.2%
2 213
 
2.1%
3 126
 
1.3%
4 77
 
0.8%
5 28
 
0.3%
6 16
 
0.2%
7 12
 
0.1%
8 9
 
0.1%
9 8
 
0.1%
Other values (11) 13
 
0.1%
ValueCountFrequency (%)
0 9181
91.8%
1 317
 
3.2%
2 213
 
2.1%
3 126
 
1.3%
4 77
 
0.8%
5 28
 
0.3%
6 16
 
0.2%
7 12
 
0.1%
8 9
 
0.1%
9 8
 
0.1%
ValueCountFrequency (%)
122 1
< 0.1%
59 1
< 0.1%
38 1
< 0.1%
30 1
< 0.1%
27 1
< 0.1%
21 1
< 0.1%
18 1
< 0.1%
14 1
< 0.1%
12 2
< 0.1%
11 1
< 0.1%

02시-03시
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1564
Minimum0
Maximum15
Zeros9338
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:51.323895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75179489
Coefficient of variation (CV)4.8068727
Kurtosis79.032889
Mean0.1564
Median Absolute Deviation (MAD)0
Skewness7.4471108
Sum1564
Variance0.56519556
MonotonicityNot monotonic
2023-12-11T01:15:51.532907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9338
93.4%
1 281
 
2.8%
2 147
 
1.5%
3 111
 
1.1%
4 58
 
0.6%
5 28
 
0.3%
6 18
 
0.2%
7 7
 
0.1%
8 3
 
< 0.1%
10 2
 
< 0.1%
Other values (6) 7
 
0.1%
ValueCountFrequency (%)
0 9338
93.4%
1 281
 
2.8%
2 147
 
1.5%
3 111
 
1.1%
4 58
 
0.6%
5 28
 
0.3%
6 18
 
0.2%
7 7
 
0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 3
 
< 0.1%
7 7
 
0.1%
6 18
0.2%

03시-04시
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0797
Minimum0
Maximum9
Zeros9582
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:51.766385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48101044
Coefficient of variation (CV)6.0352628
Kurtosis106.99342
Mean0.0797
Median Absolute Deviation (MAD)0
Skewness9.0750676
Sum797
Variance0.23137105
MonotonicityNot monotonic
2023-12-11T01:15:51.910043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9582
95.8%
1 229
 
2.3%
2 100
 
1.0%
3 46
 
0.5%
4 19
 
0.2%
5 9
 
0.1%
7 7
 
0.1%
6 3
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
0 9582
95.8%
1 229
 
2.3%
2 100
 
1.0%
3 46
 
0.5%
4 19
 
0.2%
5 9
 
0.1%
6 3
 
< 0.1%
7 7
 
0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 3
 
< 0.1%
7 7
 
0.1%
6 3
 
< 0.1%
5 9
 
0.1%
4 19
 
0.2%
3 46
 
0.5%
2 100
 
1.0%
1 229
 
2.3%
0 9582
95.8%

04시-05시
Real number (ℝ)

SKEWED  ZEROS 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4397
Minimum0
Maximum2385
Zeros5152
Zeros (%)51.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:52.111900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum2385
Range2385
Interquartile range (IQR)2

Descriptive statistics

Standard deviation24.956166
Coefficient of variation (CV)10.229195
Kurtosis8338.1532
Mean2.4397
Median Absolute Deviation (MAD)0
Skewness88.284827
Sum24397
Variance622.81024
MonotonicityNot monotonic
2023-12-11T01:15:52.335411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5152
51.5%
1 1632
 
16.3%
2 999
 
10.0%
3 614
 
6.1%
4 343
 
3.4%
5 211
 
2.1%
6 173
 
1.7%
7 129
 
1.3%
8 96
 
1.0%
10 82
 
0.8%
Other values (41) 569
 
5.7%
ValueCountFrequency (%)
0 5152
51.5%
1 1632
 
16.3%
2 999
 
10.0%
3 614
 
6.1%
4 343
 
3.4%
5 211
 
2.1%
6 173
 
1.7%
7 129
 
1.3%
8 96
 
1.0%
9 79
 
0.8%
ValueCountFrequency (%)
2385 1
< 0.1%
576 1
< 0.1%
61 1
< 0.1%
56 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
49 2
< 0.1%
47 1
< 0.1%
45 2
< 0.1%
43 2
< 0.1%

05시-06시
Real number (ℝ)

Distinct381
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.7869
Minimum0
Maximum1147
Zeros79
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:52.574706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q123
median56
Q3110
95-th percentile203.05
Maximum1147
Range1147
Interquartile range (IQR)87

Descriptive statistics

Standard deviation70.776365
Coefficient of variation (CV)0.93388653
Kurtosis9.2236859
Mean75.7869
Median Absolute Deviation (MAD)40
Skewness1.9577923
Sum757869
Variance5009.2938
MonotonicityNot monotonic
2023-12-11T01:15:52.838745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 180
 
1.8%
1 162
 
1.6%
3 140
 
1.4%
4 134
 
1.3%
18 122
 
1.2%
5 119
 
1.2%
21 115
 
1.1%
12 114
 
1.1%
7 111
 
1.1%
16 104
 
1.0%
Other values (371) 8699
87.0%
ValueCountFrequency (%)
0 79
0.8%
1 162
1.6%
2 180
1.8%
3 140
1.4%
4 134
1.3%
5 119
1.2%
6 84
0.8%
7 111
1.1%
8 98
1.0%
9 81
0.8%
ValueCountFrequency (%)
1147 1
< 0.1%
645 1
< 0.1%
600 1
< 0.1%
544 1
< 0.1%
516 1
< 0.1%
501 1
< 0.1%
482 1
< 0.1%
481 1
< 0.1%
475 1
< 0.1%
458 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct670
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.8404
Minimum0
Maximum995
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:53.051034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q181
median141
Q3222
95-th percentile419
Maximum995
Range995
Interquartile range (IQR)141

Descriptive statistics

Standard deviation127.82098
Coefficient of variation (CV)0.7481894
Kurtosis5.7616858
Mean170.8404
Median Absolute Deviation (MAD)66
Skewness1.9201971
Sum1708404
Variance16338.202
MonotonicityNot monotonic
2023-12-11T01:15:53.367845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 69
 
0.7%
77 69
 
0.7%
76 67
 
0.7%
84 63
 
0.6%
108 56
 
0.6%
67 56
 
0.6%
96 56
 
0.6%
75 56
 
0.6%
73 55
 
0.5%
72 55
 
0.5%
Other values (660) 9398
94.0%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 10
0.1%
2 18
0.2%
3 14
0.1%
4 5
 
0.1%
5 11
0.1%
6 11
0.1%
7 7
 
0.1%
8 12
0.1%
9 12
0.1%
ValueCountFrequency (%)
995 1
< 0.1%
974 1
< 0.1%
973 1
< 0.1%
967 1
< 0.1%
965 1
< 0.1%
964 1
< 0.1%
962 1
< 0.1%
955 1
< 0.1%
943 1
< 0.1%
941 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct1345
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.7621
Minimum0
Maximum1864
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:53.547447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1127
median269
Q3517
95-th percentile1019
Maximum1864
Range1864
Interquartile range (IQR)390

Descriptive statistics

Standard deviation322.82059
Coefficient of variation (CV)0.87304943
Kurtosis2.6486771
Mean369.7621
Median Absolute Deviation (MAD)168
Skewness1.5560589
Sum3697621
Variance104213.13
MonotonicityNot monotonic
2023-12-11T01:15:54.101799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121 39
 
0.4%
110 38
 
0.4%
97 37
 
0.4%
90 36
 
0.4%
133 35
 
0.4%
130 34
 
0.3%
105 34
 
0.3%
79 34
 
0.3%
87 33
 
0.3%
101 33
 
0.3%
Other values (1335) 9647
96.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 4
 
< 0.1%
3 6
0.1%
4 6
0.1%
5 9
0.1%
6 6
0.1%
7 1
 
< 0.1%
8 6
0.1%
9 13
0.1%
ValueCountFrequency (%)
1864 1
< 0.1%
1832 1
< 0.1%
1831 1
< 0.1%
1813 1
< 0.1%
1788 1
< 0.1%
1786 1
< 0.1%
1760 1
< 0.1%
1757 1
< 0.1%
1753 1
< 0.1%
1745 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct2121
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean648.3984
Minimum0
Maximum4750
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:54.418515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68
Q1227
median456
Q3831
95-th percentile1968
Maximum4750
Range4750
Interquartile range (IQR)604

Descriptive statistics

Standard deviation623.63652
Coefficient of variation (CV)0.96181071
Kurtosis6.5114997
Mean648.3984
Median Absolute Deviation (MAD)275
Skewness2.1507095
Sum6483984
Variance388922.51
MonotonicityNot monotonic
2023-12-11T01:15:54.596898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231 26
 
0.3%
102 24
 
0.2%
214 22
 
0.2%
245 22
 
0.2%
134 22
 
0.2%
219 21
 
0.2%
216 21
 
0.2%
337 21
 
0.2%
264 21
 
0.2%
241 21
 
0.2%
Other values (2111) 9779
97.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 5
0.1%
2 5
0.1%
3 3
 
< 0.1%
4 8
0.1%
5 9
0.1%
6 5
0.1%
7 3
 
< 0.1%
8 8
0.1%
9 5
0.1%
ValueCountFrequency (%)
4750 1
< 0.1%
4679 1
< 0.1%
4604 2
< 0.1%
4585 1
< 0.1%
4554 1
< 0.1%
4551 1
< 0.1%
4540 1
< 0.1%
4530 1
< 0.1%
4522 2
< 0.1%
4521 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct1656
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.0154
Minimum0
Maximum3893
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:54.830454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65
Q1178
median348
Q3632
95-th percentile1346
Maximum3893
Range3893
Interquartile range (IQR)454

Descriptive statistics

Standard deviation452.94374
Coefficient of variation (CV)0.93968728
Kurtosis8.9525912
Mean482.0154
Median Absolute Deviation (MAD)200
Skewness2.4206065
Sum4820154
Variance205158.03
MonotonicityNot monotonic
2023-12-11T01:15:55.082162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 33
 
0.3%
185 31
 
0.3%
163 29
 
0.3%
115 29
 
0.3%
114 28
 
0.3%
186 25
 
0.2%
164 25
 
0.2%
99 24
 
0.2%
138 24
 
0.2%
194 23
 
0.2%
Other values (1646) 9729
97.3%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 3
 
< 0.1%
2 8
 
0.1%
3 8
 
0.1%
4 14
0.1%
5 20
0.2%
6 9
0.1%
7 15
0.1%
8 8
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
3893 1
< 0.1%
3875 1
< 0.1%
3699 1
< 0.1%
3667 1
< 0.1%
3652 1
< 0.1%
3578 1
< 0.1%
3570 1
< 0.1%
3548 1
< 0.1%
3468 1
< 0.1%
3442 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct1501
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.7288
Minimum0
Maximum2927
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:55.316020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62
Q1168
median302
Q3560
95-th percentile1208
Maximum2927
Range2927
Interquartile range (IQR)392

Descriptive statistics

Standard deviation375.48679
Coefficient of variation (CV)0.89246751
Kurtosis5.5343885
Mean420.7288
Median Absolute Deviation (MAD)163
Skewness2.0139698
Sum4207288
Variance140990.33
MonotonicityNot monotonic
2023-12-11T01:15:55.524039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157 36
 
0.4%
179 33
 
0.3%
176 33
 
0.3%
107 31
 
0.3%
183 30
 
0.3%
146 30
 
0.3%
104 29
 
0.3%
167 29
 
0.3%
172 29
 
0.3%
152 29
 
0.3%
Other values (1491) 9691
96.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 5
0.1%
4 6
0.1%
5 9
0.1%
6 3
 
< 0.1%
7 9
0.1%
8 11
0.1%
9 6
0.1%
ValueCountFrequency (%)
2927 1
< 0.1%
2873 1
< 0.1%
2815 1
< 0.1%
2805 1
< 0.1%
2778 2
< 0.1%
2753 1
< 0.1%
2727 1
< 0.1%
2698 1
< 0.1%
2681 1
< 0.1%
2645 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1608
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.1861
Minimum0
Maximum3938
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:55.777034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68
Q1175
median310
Q3586.25
95-th percentile1286.15
Maximum3938
Range3938
Interquartile range (IQR)411.25

Descriptive statistics

Standard deviation422.01568
Coefficient of variation (CV)0.94371378
Kurtosis8.0754311
Mean447.1861
Median Absolute Deviation (MAD)166
Skewness2.3446273
Sum4471861
Variance178097.24
MonotonicityNot monotonic
2023-12-11T01:15:56.037637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199 40
 
0.4%
130 33
 
0.3%
164 33
 
0.3%
144 32
 
0.3%
200 31
 
0.3%
125 31
 
0.3%
184 30
 
0.3%
145 30
 
0.3%
241 29
 
0.3%
207 29
 
0.3%
Other values (1598) 9682
96.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4
 
< 0.1%
2 1
 
< 0.1%
3 7
 
0.1%
4 10
0.1%
5 6
 
0.1%
6 13
0.1%
7 7
 
0.1%
8 20
0.2%
9 10
0.1%
ValueCountFrequency (%)
3938 1
< 0.1%
3698 1
< 0.1%
3646 1
< 0.1%
3608 1
< 0.1%
3431 1
< 0.1%
3349 1
< 0.1%
3299 1
< 0.1%
3233 1
< 0.1%
3223 1
< 0.1%
3204 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1705
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.966
Minimum0
Maximum4493
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:56.384830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72
Q1193
median326
Q3631
95-th percentile1406
Maximum4493
Range4493
Interquartile range (IQR)438

Descriptive statistics

Standard deviation469.57009
Coefficient of variation (CV)0.9603328
Kurtosis9.1179136
Mean488.966
Median Absolute Deviation (MAD)171
Skewness2.4448889
Sum4889660
Variance220496.07
MonotonicityNot monotonic
2023-12-11T01:15:56.661946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173 33
 
0.3%
223 29
 
0.3%
227 29
 
0.3%
216 28
 
0.3%
177 28
 
0.3%
252 28
 
0.3%
205 28
 
0.3%
196 27
 
0.3%
163 27
 
0.3%
147 27
 
0.3%
Other values (1695) 9716
97.2%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 4
 
< 0.1%
2 6
 
0.1%
3 8
0.1%
4 9
0.1%
5 10
0.1%
6 16
0.2%
7 12
0.1%
8 9
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
4493 1
< 0.1%
4491 1
< 0.1%
4284 1
< 0.1%
4246 1
< 0.1%
3996 1
< 0.1%
3932 1
< 0.1%
3837 1
< 0.1%
3768 1
< 0.1%
3721 1
< 0.1%
3606 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1795
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.263
Minimum0
Maximum5331
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:56.920015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78
Q1201
median343
Q3649
95-th percentile1521.05
Maximum5331
Range5331
Interquartile range (IQR)448

Descriptive statistics

Standard deviation507.42013
Coefficient of variation (CV)0.98287138
Kurtosis9.7254043
Mean516.263
Median Absolute Deviation (MAD)180
Skewness2.5306734
Sum5162630
Variance257475.19
MonotonicityNot monotonic
2023-12-11T01:15:57.242583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223 33
 
0.3%
197 32
 
0.3%
166 32
 
0.3%
213 31
 
0.3%
230 31
 
0.3%
237 30
 
0.3%
184 29
 
0.3%
222 29
 
0.3%
242 29
 
0.3%
170 28
 
0.3%
Other values (1785) 9696
97.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 5
0.1%
5 9
0.1%
6 9
0.1%
7 12
0.1%
8 9
0.1%
9 6
0.1%
ValueCountFrequency (%)
5331 1
< 0.1%
5185 1
< 0.1%
4925 1
< 0.1%
4446 1
< 0.1%
4405 1
< 0.1%
4361 1
< 0.1%
4294 1
< 0.1%
4129 1
< 0.1%
4101 1
< 0.1%
3968 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1791
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean501.3602
Minimum0
Maximum4706
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:57.453295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q1189
median317
Q3630.25
95-th percentile1529
Maximum4706
Range4706
Interquartile range (IQR)441.25

Descriptive statistics

Standard deviation500.76465
Coefficient of variation (CV)0.99881213
Kurtosis7.9395457
Mean501.3602
Median Absolute Deviation (MAD)164
Skewness2.3955062
Sum5013602
Variance250765.24
MonotonicityNot monotonic
2023-12-11T01:15:57.697457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159 36
 
0.4%
181 32
 
0.3%
175 31
 
0.3%
167 31
 
0.3%
151 31
 
0.3%
233 31
 
0.3%
157 30
 
0.3%
262 30
 
0.3%
180 29
 
0.3%
176 29
 
0.3%
Other values (1781) 9690
96.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
3 5
 
0.1%
4 3
 
< 0.1%
5 5
 
0.1%
6 5
 
0.1%
7 14
0.1%
8 15
0.1%
9 4
 
< 0.1%
10 9
0.1%
ValueCountFrequency (%)
4706 1
< 0.1%
4457 1
< 0.1%
4362 1
< 0.1%
4137 1
< 0.1%
3945 1
< 0.1%
3836 1
< 0.1%
3783 1
< 0.1%
3743 1
< 0.1%
3702 1
< 0.1%
3696 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1863
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean531.6825
Minimum0
Maximum4242
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:57.907587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82
Q1205
median344
Q3664
95-th percentile1635.05
Maximum4242
Range4242
Interquartile range (IQR)459

Descriptive statistics

Standard deviation519.93635
Coefficient of variation (CV)0.97790759
Kurtosis6.4300501
Mean531.6825
Median Absolute Deviation (MAD)175
Skewness2.2370451
Sum5316825
Variance270333.81
MonotonicityNot monotonic
2023-12-11T01:15:58.132453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 32
 
0.3%
189 31
 
0.3%
213 30
 
0.3%
222 30
 
0.3%
197 29
 
0.3%
235 29
 
0.3%
203 29
 
0.3%
195 28
 
0.3%
217 28
 
0.3%
252 27
 
0.3%
Other values (1853) 9707
97.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 7
0.1%
5 5
 
0.1%
6 9
0.1%
7 8
0.1%
8 7
0.1%
9 15
0.1%
ValueCountFrequency (%)
4242 1
< 0.1%
4031 1
< 0.1%
4017 1
< 0.1%
3745 1
< 0.1%
3724 1
< 0.1%
3719 1
< 0.1%
3711 1
< 0.1%
3690 1
< 0.1%
3653 1
< 0.1%
3649 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct1964
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585.9215
Minimum0
Maximum4392
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:58.394411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile90
Q1233
median385
Q3737
95-th percentile1742.1
Maximum4392
Range4392
Interquartile range (IQR)504

Descriptive statistics

Standard deviation560.68994
Coefficient of variation (CV)0.95693697
Kurtosis6.4000813
Mean585.9215
Median Absolute Deviation (MAD)192
Skewness2.2152553
Sum5859215
Variance314373.21
MonotonicityNot monotonic
2023-12-11T01:15:58.642574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253 30
 
0.3%
260 29
 
0.3%
201 27
 
0.3%
194 26
 
0.3%
269 26
 
0.3%
292 25
 
0.2%
183 25
 
0.2%
196 25
 
0.2%
257 25
 
0.2%
207 25
 
0.2%
Other values (1954) 9737
97.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
3 2
 
< 0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 9
0.1%
8 10
0.1%
9 7
0.1%
10 5
0.1%
11 3
 
< 0.1%
ValueCountFrequency (%)
4392 1
< 0.1%
4367 1
< 0.1%
4285 1
< 0.1%
4199 1
< 0.1%
4127 1
< 0.1%
3954 1
< 0.1%
3910 1
< 0.1%
3902 1
< 0.1%
3890 1
< 0.1%
3886 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct2146
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean676.6976
Minimum0
Maximum5081
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:58.866356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile101.95
Q1270
median462
Q3872
95-th percentile1957.05
Maximum5081
Range5081
Interquartile range (IQR)602

Descriptive statistics

Standard deviation629.48148
Coefficient of variation (CV)0.93022567
Kurtosis6.3279822
Mean676.6976
Median Absolute Deviation (MAD)232
Skewness2.1590792
Sum6766976
Variance396246.93
MonotonicityNot monotonic
2023-12-11T01:15:59.130643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262 25
 
0.2%
308 24
 
0.2%
320 24
 
0.2%
334 24
 
0.2%
346 23
 
0.2%
348 22
 
0.2%
256 22
 
0.2%
315 22
 
0.2%
307 21
 
0.2%
301 21
 
0.2%
Other values (2136) 9772
97.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
2 4
 
< 0.1%
3 12
0.1%
4 7
0.1%
5 6
0.1%
6 6
0.1%
7 9
0.1%
8 5
0.1%
9 5
0.1%
ValueCountFrequency (%)
5081 1
< 0.1%
5021 1
< 0.1%
4826 1
< 0.1%
4820 1
< 0.1%
4569 1
< 0.1%
4557 1
< 0.1%
4416 1
< 0.1%
4388 1
< 0.1%
4332 1
< 0.1%
4301 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct2418
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.8876
Minimum0
Maximum7627
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:59.389541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89
Q1276
median527
Q31004
95-th percentile2343
Maximum7627
Range7627
Interquartile range (IQR)728

Descriptive statistics

Standard deviation794.56442
Coefficient of variation (CV)1.0084743
Kurtosis8.2215128
Mean787.8876
Median Absolute Deviation (MAD)301.5
Skewness2.3787846
Sum7878876
Variance631332.62
MonotonicityNot monotonic
2023-12-11T01:15:59.629699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337 22
 
0.2%
222 22
 
0.2%
287 22
 
0.2%
341 22
 
0.2%
188 21
 
0.2%
172 21
 
0.2%
344 20
 
0.2%
296 20
 
0.2%
250 20
 
0.2%
304 19
 
0.2%
Other values (2408) 9791
97.9%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 10
0.1%
2 9
0.1%
3 9
0.1%
4 5
0.1%
5 9
0.1%
6 4
 
< 0.1%
7 6
0.1%
9 3
 
< 0.1%
10 6
0.1%
ValueCountFrequency (%)
7627 1
< 0.1%
7525 1
< 0.1%
7094 1
< 0.1%
7056 1
< 0.1%
6701 1
< 0.1%
6618 1
< 0.1%
6161 1
< 0.1%
6041 1
< 0.1%
6010 1
< 0.1%
5905 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct1715
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462.8106
Minimum0
Maximum4501
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:15:59.921913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55
Q1159
median299
Q3572
95-th percentile1433.15
Maximum4501
Range4501
Interquartile range (IQR)413

Descriptive statistics

Standard deviation477.74403
Coefficient of variation (CV)1.0322668
Kurtosis8.107623
Mean462.8106
Median Absolute Deviation (MAD)171
Skewness2.4362968
Sum4628106
Variance228239.36
MonotonicityNot monotonic
2023-12-11T01:16:00.147208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116 32
 
0.3%
136 31
 
0.3%
210 30
 
0.3%
252 30
 
0.3%
138 30
 
0.3%
140 30
 
0.3%
145 29
 
0.3%
214 28
 
0.3%
123 28
 
0.3%
108 27
 
0.3%
Other values (1705) 9705
97.0%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 9
0.1%
2 8
0.1%
3 12
0.1%
4 13
0.1%
5 6
 
0.1%
6 12
0.1%
7 16
0.2%
8 5
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
4501 1
< 0.1%
4094 1
< 0.1%
4083 1
< 0.1%
3832 1
< 0.1%
3745 1
< 0.1%
3732 1
< 0.1%
3616 1
< 0.1%
3547 1
< 0.1%
3510 1
< 0.1%
3440 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct1358
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.313
Minimum0
Maximum3266
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:00.767085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q1112
median218
Q3405.25
95-th percentile1010
Maximum3266
Range3266
Interquartile range (IQR)293.25

Descriptive statistics

Standard deviation370.94872
Coefficient of variation (CV)1.1095851
Kurtosis12.886453
Mean334.313
Median Absolute Deviation (MAD)124.5
Skewness3.0199071
Sum3343130
Variance137602.95
MonotonicityNot monotonic
2023-12-11T01:16:01.034004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 41
 
0.4%
87 40
 
0.4%
164 38
 
0.4%
139 37
 
0.4%
96 37
 
0.4%
84 37
 
0.4%
79 36
 
0.4%
142 36
 
0.4%
136 36
 
0.4%
157 36
 
0.4%
Other values (1348) 9626
96.3%
ValueCountFrequency (%)
0 5
 
0.1%
1 21
0.2%
2 25
0.2%
3 22
0.2%
4 16
0.2%
5 5
 
0.1%
6 6
 
0.1%
7 12
0.1%
8 11
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
3266 1
< 0.1%
3166 1
< 0.1%
3099 1
< 0.1%
3089 1
< 0.1%
3041 1
< 0.1%
3028 1
< 0.1%
3027 1
< 0.1%
3020 1
< 0.1%
3008 1
< 0.1%
3006 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct1259
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.6333
Minimum0
Maximum3534
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:01.280663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.95
Q192
median192
Q3357
95-th percentile902
Maximum3534
Range3534
Interquartile range (IQR)265

Descriptive statistics

Standard deviation336.81464
Coefficient of variation (CV)1.1470587
Kurtosis16.903985
Mean293.6333
Median Absolute Deviation (MAD)117
Skewness3.3207401
Sum2936333
Variance113444.1
MonotonicityNot monotonic
2023-12-11T01:16:01.581832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 52
 
0.5%
41 45
 
0.4%
69 44
 
0.4%
38 43
 
0.4%
47 43
 
0.4%
44 42
 
0.4%
53 42
 
0.4%
77 41
 
0.4%
56 40
 
0.4%
81 40
 
0.4%
Other values (1249) 9568
95.7%
ValueCountFrequency (%)
0 29
0.3%
1 26
0.3%
2 19
0.2%
3 13
0.1%
4 11
 
0.1%
5 14
0.1%
6 21
0.2%
7 25
0.2%
8 13
0.1%
9 16
0.2%
ValueCountFrequency (%)
3534 1
< 0.1%
3453 1
< 0.1%
3288 1
< 0.1%
3232 1
< 0.1%
3221 1
< 0.1%
3158 1
< 0.1%
3094 1
< 0.1%
3075 1
< 0.1%
3045 1
< 0.1%
2995 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1059
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.537
Minimum0
Maximum3103
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:01.958752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q166
median151
Q3295
95-th percentile714
Maximum3103
Range3103
Interquartile range (IQR)229

Descriptive statistics

Standard deviation280.47161
Coefficient of variation (CV)1.1958523
Kurtosis23.01198
Mean234.537
Median Absolute Deviation (MAD)101
Skewness3.7563884
Sum2345370
Variance78664.324
MonotonicityNot monotonic
2023-12-11T01:16:02.344153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 57
 
0.6%
47 55
 
0.5%
38 55
 
0.5%
35 53
 
0.5%
31 53
 
0.5%
49 52
 
0.5%
65 51
 
0.5%
44 51
 
0.5%
39 50
 
0.5%
33 50
 
0.5%
Other values (1049) 9473
94.7%
ValueCountFrequency (%)
0 46
0.5%
1 34
0.3%
2 16
 
0.2%
3 14
 
0.1%
4 12
 
0.1%
5 23
0.2%
6 21
0.2%
7 26
0.3%
8 24
0.2%
9 30
0.3%
ValueCountFrequency (%)
3103 1
< 0.1%
3042 1
< 0.1%
3029 1
< 0.1%
2948 1
< 0.1%
2928 1
< 0.1%
2911 1
< 0.1%
2831 1
< 0.1%
2771 1
< 0.1%
2770 1
< 0.1%
2753 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct724
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.9432
Minimum0
Maximum2619
Zeros53
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:02.674474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q136
median88
Q3181
95-th percentile408
Maximum2619
Range2619
Interquartile range (IQR)145

Descriptive statistics

Standard deviation171.66883
Coefficient of variation (CV)1.2444892
Kurtosis35.575162
Mean137.9432
Median Absolute Deviation (MAD)62
Skewness4.5195349
Sum1379432
Variance29470.186
MonotonicityNot monotonic
2023-12-11T01:16:02.924124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 95
 
0.9%
14 94
 
0.9%
9 91
 
0.9%
21 88
 
0.9%
17 85
 
0.9%
16 85
 
0.9%
15 84
 
0.8%
22 82
 
0.8%
19 82
 
0.8%
11 81
 
0.8%
Other values (714) 9133
91.3%
ValueCountFrequency (%)
0 53
0.5%
1 47
0.5%
2 37
0.4%
3 30
 
0.3%
4 45
0.4%
5 35
 
0.4%
6 61
0.6%
7 70
0.7%
8 70
0.7%
9 91
0.9%
ValueCountFrequency (%)
2619 1
< 0.1%
2314 1
< 0.1%
2266 1
< 0.1%
2230 1
< 0.1%
2171 1
< 0.1%
2112 1
< 0.1%
2041 1
< 0.1%
1948 1
< 0.1%
1920 1
< 0.1%
1879 1
< 0.1%

24시-01시
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.7355
Minimum0
Maximum247
Zeros548
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:03.163071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q333
95-th percentile97
Maximum247
Range247
Interquartile range (IQR)30

Descriptive statistics

Standard deviation33.196568
Coefficient of variation (CV)1.3420617
Kurtosis6.5532553
Mean24.7355
Median Absolute Deviation (MAD)10
Skewness2.3303773
Sum247355
Variance1102.0121
MonotonicityNot monotonic
2023-12-11T01:16:03.410675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 813
 
8.1%
2 722
 
7.2%
3 626
 
6.3%
0 548
 
5.5%
4 499
 
5.0%
5 425
 
4.2%
6 313
 
3.1%
7 284
 
2.8%
8 253
 
2.5%
9 226
 
2.3%
Other values (199) 5291
52.9%
ValueCountFrequency (%)
0 548
5.5%
1 813
8.1%
2 722
7.2%
3 626
6.3%
4 499
5.0%
5 425
4.2%
6 313
 
3.1%
7 284
 
2.8%
8 253
 
2.5%
9 226
 
2.3%
ValueCountFrequency (%)
247 1
< 0.1%
244 1
< 0.1%
241 1
< 0.1%
238 2
< 0.1%
234 1
< 0.1%
233 1
< 0.1%
230 1
< 0.1%
223 1
< 0.1%
221 1
< 0.1%
213 2
< 0.1%

Sample

역번호역명년월일구분합계01시-02시02시-03시03시-04시04시-05시05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시-01시
16592117범 일2018-09-24승차3849000172102176214166240307301236280323312271228183134129104691
634563053연산2018-12-02승차64180002961181602273143003674914925625246135144962962692452131109
8675106대 티2018-11-19하차4736010221721124683992912513022231862893174004972892041581429418
30862203해운대2018-04-12승차114030000110178456682597564685864665734826983105110355674573873781795
28562134노 포2018-02-16승차1614500027160205367420386643962115313001508137314711306140510429678155021330
298599장 림2018-02-02하차318600011012228134618693110127130154189204229326272120112894441
182061191서면2018-12-10승차40321000128535868612721124134918222202255028513094350436494054264226982633224412994
78624410석 대2018-09-07승차15600003394548312511361918921121
51244231구 남2018-03-14승차5454000411119867378349232624925822718221230437441519113519686362
49196228덕 포2018-05-24승차528400019518036950026820321125230829027536649170131122912464415
역번호역명년월일구분합계01시-02시02시-03시03시-04시04시-05시05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시-01시
46032224냉 정2018-01-22승차5522000011016349365535629030128930127938640834056917914610387607
65133308사 직2018-03-20하차71670000259417945827923831035135435348561570297556937934724415852
60379243양 산2018-09-17하차74240000222738050234031230345362143945553760561950927629627219086
5894103당 리2018-01-28승차39370001578096196295316327435378332293265306196144837047164
73758404낙 민2018-01-07승차11930000404641668391718278889511791804726251592
40147215지게골2018-12-30하차1788000020223159779811277104109132162188164999610666615
68379312숙 등2018-08-30하차4031000025671934112732122152232482212173003233882071671451235419
35426209광 안2018-07-13승차117380003135285736132580465275364262458163964069781452246653950236811
11872111남 포2018-04-07승차2614000011662324596538288579981283166218072205244925962379217118202018113240222
80675413고 촌2018-06-29하차62300003323970182025294831493657564222191386