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_20171231
Author부산교통공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057229

Alerts

01시-02시 is highly skewed (γ1 = 33.77562929)Skewed
02시-03시 is highly skewed (γ1 = 54.00689017)Skewed
03시-04시 is highly skewed (γ1 = 60.15516311)Skewed
01시-02시 has 9124 (91.2%) zerosZeros
02시-03시 has 9334 (93.3%) zerosZeros
03시-04시 has 9506 (95.1%) zerosZeros
04시-05시 has 4857 (48.6%) zerosZeros
05시-06시 has 122 (1.2%) zerosZeros
24시-01시 has 522 (5.2%) zerosZeros

Reproduction

Analysis started2023-12-10 16:16:07.293130
Analysis finished2023-12-10 16:16:08.244480
Duration0.95 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%
Mean219.9338
Minimum95
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:08.359794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile102
Q1124
median218
Q3303
95-th percentile409
Maximum414
Range319
Interquartile range (IQR)179

Descriptive statistics

Standard deviation95.392858
Coefficient of variation (CV)0.43373442
Kurtosis-0.61137732
Mean219.9338
Median Absolute Deviation (MAD)89
Skewness0.54030949
Sum2199338
Variance9099.7974
MonotonicityNot monotonic
2023-12-11T01:16:08.581270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 121
 
1.2%
309 113
 
1.1%
411 109
 
1.1%
406 107
 
1.1%
242 107
 
1.1%
124 106
 
1.1%
229 106
 
1.1%
231 104
 
1.0%
105 102
 
1.0%
111 102
 
1.0%
Other values (103) 8923
89.2%
ValueCountFrequency (%)
95 57
0.6%
96 78
0.8%
97 66
0.7%
98 68
0.7%
99 48
0.5%
100 60
0.6%
101 81
0.8%
102 93
0.9%
103 78
0.8%
104 97
1.0%
ValueCountFrequency (%)
414 93
0.9%
413 86
0.9%
412 82
0.8%
411 109
1.1%
410 87
0.9%
409 93
0.9%
408 73
0.7%
407 87
0.9%
406 107
1.1%
405 81
0.8%

역명
Text

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:16:09.029822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8249
Min length3

Characters and Unicode

Total characters38249
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

Unique0 ?
Unique (%)0.0%

Sample

1st row서 동
2nd row서대신
3rd row1동래
4th row괴 정
5th row배 산
ValueCountFrequency (%)
포 551
 
3.3%
남 498
 
3.0%
대 473
 
2.9%
산 445
 
2.7%
동 426
 
2.6%
명 365
 
2.2%
사 360
 
2.2%
전 356
 
2.2%
정 348
 
2.1%
구 348
 
2.1%
Other values (116) 12330
74.7%
2023-12-11T01:16:09.700088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13000
34.0%
산 1603
 
4.2%
대 1517
 
4.0%
동 971
 
2.5%
남 702
 
1.8%
포 686
 
1.8%
부 682
 
1.8%
장 623
 
1.6%
서 546
 
1.4%
사 537
 
1.4%
Other values (122) 17382
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24496
64.0%
Space Separator 13000
34.0%
Decimal Number 753
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1603
 
6.5%
대 1517
 
6.2%
동 971
 
4.0%
남 702
 
2.9%
포 686
 
2.8%
부 682
 
2.8%
장 623
 
2.5%
서 546
 
2.2%
사 537
 
2.2%
천 482
 
2.0%
Other values (117) 16147
65.9%
Decimal Number
ValueCountFrequency (%)
1 282
37.5%
2 200
26.6%
3 176
23.4%
4 95
 
12.6%
Space Separator
ValueCountFrequency (%)
13000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24496
64.0%
Common 13753
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1603
 
6.5%
대 1517
 
6.2%
동 971
 
4.0%
남 702
 
2.9%
포 686
 
2.8%
부 682
 
2.8%
장 623
 
2.5%
서 546
 
2.2%
사 537
 
2.2%
천 482
 
2.0%
Other values (117) 16147
65.9%
Common
ValueCountFrequency (%)
13000
94.5%
1 282
 
2.1%
2 200
 
1.5%
3 176
 
1.3%
4 95
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24496
64.0%
ASCII 13753
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13000
94.5%
1 282
 
2.1%
2 200
 
1.5%
3 176
 
1.3%
4 95
 
0.7%
Hangul
ValueCountFrequency (%)
산 1603
 
6.5%
대 1517
 
6.2%
동 971
 
4.0%
남 702
 
2.9%
포 686
 
2.8%
부 682
 
2.8%
장 623
 
2.5%
서 546
 
2.2%
사 537
 
2.2%
천 482
 
2.0%
Other values (117) 16147
65.9%

년월일
Date

Distinct365
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-01-01 00:00:00
Maximum2017-12-31 00:00:00
2023-12-11T01:16:09.870742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:16:10.054188image/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
하차
5005 
승차
4995 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5005
50.0%
승차 4995
50.0%

Length

2023-12-11T01:16:10.241292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:10.370222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5005
50.0%
승차 4995
50.0%

합계
Real number (ℝ)

Distinct7439
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8471.6722
Minimum1
Maximum58844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:10.549067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1553.7
Q13466
median5873
Q311078.75
95-th percentile23306.15
Maximum58844
Range58843
Interquartile range (IQR)7612.75

Descriptive statistics

Standard deviation7404.1388
Coefficient of variation (CV)0.87398788
Kurtosis5.3734997
Mean8471.6722
Median Absolute Deviation (MAD)2996
Skewness1.9691216
Sum84716722
Variance54821272
MonotonicityNot monotonic
2023-12-11T01:16:10.751777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2637 7
 
0.1%
3651 6
 
0.1%
158 6
 
0.1%
5245 5
 
0.1%
5364 5
 
0.1%
3540 5
 
0.1%
5857 5
 
0.1%
3081 5
 
0.1%
3170 5
 
0.1%
2154 5
 
0.1%
Other values (7429) 9946
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
48 1
< 0.1%
50 1
< 0.1%
67 2
< 0.1%
69 1
< 0.1%
70 1
< 0.1%
71 1
< 0.1%
78 1
< 0.1%
80 1
< 0.1%
84 1
< 0.1%
ValueCountFrequency (%)
58844 1
< 0.1%
57780 1
< 0.1%
54662 1
< 0.1%
53845 1
< 0.1%
53444 1
< 0.1%
53172 1
< 0.1%
52607 1
< 0.1%
52551 1
< 0.1%
52095 1
< 0.1%
52080 1
< 0.1%

01시-02시
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2693
Minimum0
Maximum119
Zeros9124
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:10.950787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum119
Range119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3466419
Coefficient of variation (CV)8.7138578
Kurtosis1426.4474
Mean0.2693
Median Absolute Deviation (MAD)0
Skewness33.775629
Sum2693
Variance5.5067282
MonotonicityNot monotonic
2023-12-11T01:16:11.113995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 9124
91.2%
1 344
 
3.4%
2 242
 
2.4%
3 114
 
1.1%
4 81
 
0.8%
5 37
 
0.4%
6 13
 
0.1%
7 10
 
0.1%
9 9
 
0.1%
8 5
 
0.1%
Other values (16) 21
 
0.2%
ValueCountFrequency (%)
0 9124
91.2%
1 344
 
3.4%
2 242
 
2.4%
3 114
 
1.1%
4 81
 
0.8%
5 37
 
0.4%
6 13
 
0.1%
7 10
 
0.1%
8 5
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
119 1
< 0.1%
109 1
< 0.1%
82 1
< 0.1%
74 1
< 0.1%
60 1
< 0.1%
44 1
< 0.1%
39 1
< 0.1%
28 1
< 0.1%
24 2
< 0.1%
23 1
< 0.1%

02시-03시
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1893
Minimum0
Maximum146
Zeros9334
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:11.306570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8854763
Coefficient of variation (CV)9.9602553
Kurtosis3815.9636
Mean0.1893
Median Absolute Deviation (MAD)0
Skewness54.00689
Sum1893
Variance3.555021
MonotonicityNot monotonic
2023-12-11T01:16:11.439182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 9334
93.3%
1 266
 
2.7%
2 174
 
1.7%
3 99
 
1.0%
4 46
 
0.5%
5 35
 
0.4%
6 22
 
0.2%
8 5
 
0.1%
7 5
 
0.1%
10 4
 
< 0.1%
Other values (9) 10
 
0.1%
ValueCountFrequency (%)
0 9334
93.3%
1 266
 
2.7%
2 174
 
1.7%
3 99
 
1.0%
4 46
 
0.5%
5 35
 
0.4%
6 22
 
0.2%
7 5
 
0.1%
8 5
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
146 1
 
< 0.1%
70 1
 
< 0.1%
48 1
 
< 0.1%
30 1
 
< 0.1%
23 1
 
< 0.1%
16 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 4
< 0.1%
9 2
< 0.1%

03시-04시
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1252
Minimum0
Maximum118
Zeros9506
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:11.597355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum118
Range118
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4501501
Coefficient of variation (CV)11.582668
Kurtosis4579.7277
Mean0.1252
Median Absolute Deviation (MAD)0
Skewness60.155163
Sum1252
Variance2.1029353
MonotonicityNot monotonic
2023-12-11T01:16:11.767371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9506
95.1%
1 242
 
2.4%
2 105
 
1.1%
3 67
 
0.7%
4 41
 
0.4%
5 15
 
0.1%
6 10
 
0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
11 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0 9506
95.1%
1 242
 
2.4%
2 105
 
1.1%
3 67
 
0.7%
4 41
 
0.4%
5 15
 
0.1%
6 10
 
0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
118 1
 
< 0.1%
55 1
 
< 0.1%
21 1
 
< 0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
8 3
 
< 0.1%
7 4
 
< 0.1%
6 10
0.1%

04시-05시
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2287
Minimum0
Maximum268
Zeros4857
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:11.950360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum268
Range268
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.385378
Coefficient of variation (CV)2.4163764
Kurtosis726.58645
Mean2.2287
Median Absolute Deviation (MAD)1
Skewness17.977217
Sum22287
Variance29.002297
MonotonicityNot monotonic
2023-12-11T01:16:12.424892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4857
48.6%
1 1650
 
16.5%
2 1081
 
10.8%
3 601
 
6.0%
4 365
 
3.6%
5 286
 
2.9%
6 217
 
2.2%
7 174
 
1.7%
8 123
 
1.2%
9 101
 
1.0%
Other values (40) 545
 
5.5%
ValueCountFrequency (%)
0 4857
48.6%
1 1650
 
16.5%
2 1081
 
10.8%
3 601
 
6.0%
4 365
 
3.6%
5 286
 
2.9%
6 217
 
2.2%
7 174
 
1.7%
8 123
 
1.2%
9 101
 
1.0%
ValueCountFrequency (%)
268 1
< 0.1%
181 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
59 1
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
50 1
< 0.1%
45 2
< 0.1%
43 1
< 0.1%

05시-06시
Real number (ℝ)

ZEROS 

Distinct397
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.4946
Minimum0
Maximum1171
Zeros122
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:12.590795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q122
median57
Q3115
95-th percentile212
Maximum1171
Range1171
Interquartile range (IQR)93

Descriptive statistics

Standard deviation74.317118
Coefficient of variation (CV)0.94678001
Kurtosis7.9500247
Mean78.4946
Median Absolute Deviation (MAD)41
Skewness1.8470738
Sum784946
Variance5523.0341
MonotonicityNot monotonic
2023-12-11T01:16:12.750775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 195
 
1.9%
2 164
 
1.6%
3 150
 
1.5%
18 134
 
1.3%
4 131
 
1.3%
0 122
 
1.2%
5 122
 
1.2%
6 114
 
1.1%
8 107
 
1.1%
19 107
 
1.1%
Other values (387) 8654
86.5%
ValueCountFrequency (%)
0 122
1.2%
1 195
1.9%
2 164
1.6%
3 150
1.5%
4 131
1.3%
5 122
1.2%
6 114
1.1%
7 98
1.0%
8 107
1.1%
9 82
0.8%
ValueCountFrequency (%)
1171 1
< 0.1%
608 1
< 0.1%
604 1
< 0.1%
531 1
< 0.1%
511 1
< 0.1%
489 1
< 0.1%
483 1
< 0.1%
475 2
< 0.1%
470 2
< 0.1%
468 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct688
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.9875
Minimum0
Maximum1479
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:12.925516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q184
median149
Q3230
95-th percentile441.05
Maximum1479
Range1479
Interquartile range (IQR)146

Descriptive statistics

Standard deviation133.04876
Coefficient of variation (CV)0.7433411
Kurtosis5.0136569
Mean178.9875
Median Absolute Deviation (MAD)70
Skewness1.7891181
Sum1789875
Variance17701.974
MonotonicityNot monotonic
2023-12-11T01:16:13.171820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 62
 
0.6%
105 62
 
0.6%
75 60
 
0.6%
106 59
 
0.6%
97 57
 
0.6%
69 56
 
0.6%
83 56
 
0.6%
66 55
 
0.5%
82 55
 
0.5%
91 55
 
0.5%
Other values (678) 9423
94.2%
ValueCountFrequency (%)
0 10
0.1%
1 9
0.1%
2 8
0.1%
3 14
0.1%
4 5
 
0.1%
5 6
 
0.1%
6 10
0.1%
7 9
0.1%
8 15
0.1%
9 16
0.2%
ValueCountFrequency (%)
1479 1
< 0.1%
971 1
< 0.1%
945 1
< 0.1%
925 1
< 0.1%
923 1
< 0.1%
905 1
< 0.1%
903 1
< 0.1%
900 1
< 0.1%
890 1
< 0.1%
888 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct1390
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.1661
Minimum0
Maximum1904
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:13.356856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q1132
median278
Q3529.25
95-th percentile1105.1
Maximum1904
Range1904
Interquartile range (IQR)397.25

Descriptive statistics

Standard deviation339.46691
Coefficient of variation (CV)0.88135201
Kurtosis2.2973663
Mean385.1661
Median Absolute Deviation (MAD)174
Skewness1.5224275
Sum3851661
Variance115237.79
MonotonicityNot monotonic
2023-12-11T01:16:13.557787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97 36
 
0.4%
47 34
 
0.3%
137 31
 
0.3%
126 31
 
0.3%
105 31
 
0.3%
90 30
 
0.3%
108 30
 
0.3%
78 30
 
0.3%
60 30
 
0.3%
92 29
 
0.3%
Other values (1380) 9688
96.9%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 7
0.1%
2 4
 
< 0.1%
3 3
 
< 0.1%
4 5
 
0.1%
5 9
0.1%
6 6
0.1%
7 7
0.1%
8 13
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1904 1
< 0.1%
1848 1
< 0.1%
1840 1
< 0.1%
1828 1
< 0.1%
1819 1
< 0.1%
1796 2
< 0.1%
1780 2
< 0.1%
1761 1
< 0.1%
1760 1
< 0.1%
1758 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct2129
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.9316
Minimum0
Maximum4726
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:13.732114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70
Q1230
median462
Q3866
95-th percentile1933.15
Maximum4726
Range4726
Interquartile range (IQR)636

Descriptive statistics

Standard deviation628.49486
Coefficient of variation (CV)0.95236364
Kurtosis6.6274907
Mean659.9316
Median Absolute Deviation (MAD)283
Skewness2.1352652
Sum6599316
Variance395005.79
MonotonicityNot monotonic
2023-12-11T01:16:13.882853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161 25
 
0.2%
119 25
 
0.2%
151 23
 
0.2%
205 23
 
0.2%
172 23
 
0.2%
141 21
 
0.2%
170 21
 
0.2%
302 20
 
0.2%
125 20
 
0.2%
230 20
 
0.2%
Other values (2119) 9779
97.8%
ValueCountFrequency (%)
0 3
< 0.1%
1 3
< 0.1%
2 6
0.1%
3 3
< 0.1%
4 7
0.1%
5 6
0.1%
6 4
< 0.1%
7 2
 
< 0.1%
8 7
0.1%
9 7
0.1%
ValueCountFrequency (%)
4726 1
< 0.1%
4711 1
< 0.1%
4690 1
< 0.1%
4652 1
< 0.1%
4638 2
< 0.1%
4629 1
< 0.1%
4596 1
< 0.1%
4590 1
< 0.1%
4588 1
< 0.1%
4582 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct1669
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.2605
Minimum0
Maximum3933
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:14.015355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70
Q1181
median358
Q3655
95-th percentile1366.05
Maximum3933
Range3933
Interquartile range (IQR)474

Descriptive statistics

Standard deviation463.48226
Coefficient of variation (CV)0.93772871
Kurtosis8.575087
Mean494.2605
Median Absolute Deviation (MAD)206
Skewness2.3835108
Sum4942605
Variance214815.81
MonotonicityNot monotonic
2023-12-11T01:16:14.186036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158 38
 
0.4%
129 30
 
0.3%
123 29
 
0.3%
235 28
 
0.3%
169 28
 
0.3%
170 28
 
0.3%
222 27
 
0.3%
136 26
 
0.3%
160 26
 
0.3%
130 26
 
0.3%
Other values (1659) 9714
97.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 7
0.1%
2 11
0.1%
3 15
0.1%
4 7
0.1%
5 14
0.1%
6 12
0.1%
7 6
 
0.1%
8 5
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
3933 1
< 0.1%
3613 1
< 0.1%
3564 1
< 0.1%
3554 1
< 0.1%
3546 1
< 0.1%
3534 1
< 0.1%
3531 1
< 0.1%
3519 1
< 0.1%
3487 1
< 0.1%
3463 2
< 0.1%

10시-11시
Real number (ℝ)

Distinct1518
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean430.1879
Minimum0
Maximum3023
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:14.357354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65
Q1168
median306
Q3574
95-th percentile1239.1
Maximum3023
Range3023
Interquartile range (IQR)406

Descriptive statistics

Standard deviation385.38873
Coefficient of variation (CV)0.89586138
Kurtosis6.1083106
Mean430.1879
Median Absolute Deviation (MAD)168
Skewness2.0684838
Sum4301879
Variance148524.47
MonotonicityNot monotonic
2023-12-11T01:16:14.491936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164 35
 
0.4%
208 34
 
0.3%
131 33
 
0.3%
217 31
 
0.3%
188 31
 
0.3%
173 31
 
0.3%
216 30
 
0.3%
143 29
 
0.3%
129 29
 
0.3%
158 29
 
0.3%
Other values (1508) 9688
96.9%
ValueCountFrequency (%)
0 5
 
0.1%
1 3
 
< 0.1%
2 6
0.1%
3 4
 
< 0.1%
4 14
0.1%
5 7
0.1%
6 6
0.1%
7 8
0.1%
8 8
0.1%
9 10
0.1%
ValueCountFrequency (%)
3023 1
< 0.1%
2927 1
< 0.1%
2906 1
< 0.1%
2902 1
< 0.1%
2879 1
< 0.1%
2869 1
< 0.1%
2849 1
< 0.1%
2842 1
< 0.1%
2831 1
< 0.1%
2807 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1637
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459.1585
Minimum0
Maximum3961
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:14.662056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72
Q1177
median312
Q3600
95-th percentile1331.1
Maximum3961
Range3961
Interquartile range (IQR)423

Descriptive statistics

Standard deviation441.19564
Coefficient of variation (CV)0.96087875
Kurtosis9.123522
Mean459.1585
Median Absolute Deviation (MAD)170
Skewness2.468119
Sum4591585
Variance194653.6
MonotonicityNot monotonic
2023-12-11T01:16:14.829051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139 35
 
0.4%
138 34
 
0.3%
181 33
 
0.3%
186 32
 
0.3%
174 31
 
0.3%
165 30
 
0.3%
169 30
 
0.3%
200 30
 
0.3%
214 29
 
0.3%
196 29
 
0.3%
Other values (1627) 9687
96.9%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 8
0.1%
2 8
0.1%
3 7
0.1%
4 15
0.1%
5 12
0.1%
6 7
0.1%
7 4
 
< 0.1%
8 6
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
3961 1
< 0.1%
3929 1
< 0.1%
3851 1
< 0.1%
3816 1
< 0.1%
3745 1
< 0.1%
3729 1
< 0.1%
3614 1
< 0.1%
3565 1
< 0.1%
3540 1
< 0.1%
3407 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1764
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.1059
Minimum0
Maximum4815
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:14.982430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77
Q1190
median330
Q3648
95-th percentile1455.05
Maximum4815
Range4815
Interquartile range (IQR)458

Descriptive statistics

Standard deviation495.4944
Coefficient of variation (CV)0.98487097
Kurtosis10.763429
Mean503.1059
Median Absolute Deviation (MAD)177
Skewness2.6328015
Sum5031059
Variance245514.7
MonotonicityNot monotonic
2023-12-11T01:16:15.121142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202 30
 
0.3%
189 30
 
0.3%
218 29
 
0.3%
206 28
 
0.3%
234 28
 
0.3%
298 27
 
0.3%
170 27
 
0.3%
242 27
 
0.3%
182 26
 
0.3%
190 26
 
0.3%
Other values (1754) 9722
97.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 4
 
< 0.1%
3 7
0.1%
4 14
0.1%
5 15
0.1%
6 11
0.1%
7 10
0.1%
8 6
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
4815 1
< 0.1%
4800 1
< 0.1%
4559 1
< 0.1%
4526 1
< 0.1%
4404 1
< 0.1%
4354 1
< 0.1%
4295 1
< 0.1%
4271 1
< 0.1%
4133 1
< 0.1%
3989 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1802
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.9651
Minimum0
Maximum5638
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:15.308248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1197
median352
Q3669
95-th percentile1575.05
Maximum5638
Range5638
Interquartile range (IQR)472

Descriptive statistics

Standard deviation539.43638
Coefficient of variation (CV)1.0102465
Kurtosis11.903229
Mean533.9651
Median Absolute Deviation (MAD)188
Skewness2.752088
Sum5339651
Variance290991.61
MonotonicityNot monotonic
2023-12-11T01:16:15.470933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169 37
 
0.4%
167 31
 
0.3%
182 31
 
0.3%
146 30
 
0.3%
162 30
 
0.3%
188 29
 
0.3%
209 29
 
0.3%
161 28
 
0.3%
231 28
 
0.3%
200 28
 
0.3%
Other values (1792) 9699
97.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 9
0.1%
5 13
0.1%
6 10
0.1%
7 10
0.1%
8 11
0.1%
9 8
0.1%
10 6
0.1%
ValueCountFrequency (%)
5638 1
< 0.1%
5335 1
< 0.1%
5272 2
< 0.1%
5207 1
< 0.1%
5061 1
< 0.1%
5029 1
< 0.1%
4912 1
< 0.1%
4730 1
< 0.1%
4367 1
< 0.1%
4257 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1797
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.5954
Minimum0
Maximum5024
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:15.698351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1188
median321
Q3646
95-th percentile1571.05
Maximum5024
Range5024
Interquartile range (IQR)458

Descriptive statistics

Standard deviation526.39271
Coefficient of variation (CV)1.0189652
Kurtosis9.346258
Mean516.5954
Median Absolute Deviation (MAD)168
Skewness2.5377184
Sum5165954
Variance277089.29
MonotonicityNot monotonic
2023-12-11T01:16:15.886146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 35
 
0.4%
168 35
 
0.4%
170 34
 
0.3%
223 33
 
0.3%
181 32
 
0.3%
153 32
 
0.3%
177 32
 
0.3%
167 32
 
0.3%
217 32
 
0.3%
221 31
 
0.3%
Other values (1787) 9672
96.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
2 5
 
0.1%
3 5
 
0.1%
4 2
 
< 0.1%
5 13
0.1%
6 12
0.1%
7 10
0.1%
8 8
0.1%
9 8
0.1%
10 9
0.1%
ValueCountFrequency (%)
5024 1
< 0.1%
4803 1
< 0.1%
4775 1
< 0.1%
4677 1
< 0.1%
4674 1
< 0.1%
4625 1
< 0.1%
4374 1
< 0.1%
4267 1
< 0.1%
4256 1
< 0.1%
4130 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1897
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean543.33
Minimum0
Maximum4921
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:16.079226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86
Q1203
median348
Q3679
95-th percentile1657
Maximum4921
Range4921
Interquartile range (IQR)476

Descriptive statistics

Standard deviation543.71416
Coefficient of variation (CV)1.000707
Kurtosis7.5510998
Mean543.33
Median Absolute Deviation (MAD)181
Skewness2.3678377
Sum5433300
Variance295625.09
MonotonicityNot monotonic
2023-12-11T01:16:16.270046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 34
 
0.3%
247 33
 
0.3%
207 33
 
0.3%
187 32
 
0.3%
185 32
 
0.3%
227 31
 
0.3%
155 31
 
0.3%
173 30
 
0.3%
203 29
 
0.3%
233 29
 
0.3%
Other values (1887) 9686
96.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 4
 
< 0.1%
2 4
 
< 0.1%
3 5
0.1%
4 5
0.1%
5 7
0.1%
6 12
0.1%
7 8
0.1%
8 8
0.1%
9 5
0.1%
ValueCountFrequency (%)
4921 1
< 0.1%
4603 1
< 0.1%
4572 1
< 0.1%
4433 1
< 0.1%
4414 1
< 0.1%
4193 1
< 0.1%
4047 1
< 0.1%
3994 1
< 0.1%
3901 1
< 0.1%
3872 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct2017
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601.1883
Minimum0
Maximum5500
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:16.471089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile92
Q1236
median391
Q3750
95-th percentile1806
Maximum5500
Range5500
Interquartile range (IQR)514

Descriptive statistics

Standard deviation585.81872
Coefficient of variation (CV)0.97443466
Kurtosis7.137437
Mean601.1883
Median Absolute Deviation (MAD)195
Skewness2.309484
Sum6011883
Variance343183.57
MonotonicityNot monotonic
2023-12-11T01:16:16.627786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
278 34
 
0.3%
256 29
 
0.3%
296 28
 
0.3%
253 27
 
0.3%
241 27
 
0.3%
257 26
 
0.3%
267 26
 
0.3%
247 26
 
0.3%
223 25
 
0.2%
210 25
 
0.2%
Other values (2007) 9727
97.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 9
0.1%
6 12
0.1%
7 8
0.1%
8 8
0.1%
9 6
0.1%
ValueCountFrequency (%)
5500 1
< 0.1%
4817 1
< 0.1%
4800 1
< 0.1%
4544 1
< 0.1%
4501 1
< 0.1%
4376 1
< 0.1%
4312 1
< 0.1%
4280 1
< 0.1%
4260 1
< 0.1%
4155 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct2205
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean694.6583
Minimum0
Maximum6696
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:17.090334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile112
Q1275
median466
Q3897
95-th percentile2004
Maximum6696
Range6696
Interquartile range (IQR)622

Descriptive statistics

Standard deviation656.17052
Coefficient of variation (CV)0.94459466
Kurtosis7.0096947
Mean694.6583
Median Absolute Deviation (MAD)235
Skewness2.2426339
Sum6946583
Variance430559.76
MonotonicityNot monotonic
2023-12-11T01:16:17.272231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341 29
 
0.3%
270 28
 
0.3%
303 24
 
0.2%
348 24
 
0.2%
197 24
 
0.2%
259 24
 
0.2%
382 24
 
0.2%
321 23
 
0.2%
260 23
 
0.2%
279 22
 
0.2%
Other values (2195) 9755
97.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 4
 
< 0.1%
3 7
 
0.1%
4 4
 
< 0.1%
5 6
 
0.1%
6 9
0.1%
7 8
0.1%
8 18
0.2%
9 4
 
< 0.1%
10 5
 
0.1%
ValueCountFrequency (%)
6696 1
< 0.1%
5241 1
< 0.1%
5191 1
< 0.1%
5073 1
< 0.1%
4983 1
< 0.1%
4979 1
< 0.1%
4785 1
< 0.1%
4770 1
< 0.1%
4674 1
< 0.1%
4665 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct2468
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean811.3939
Minimum0
Maximum7447
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:17.425131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1287
median534
Q31054.25
95-th percentile2417.15
Maximum7447
Range7447
Interquartile range (IQR)767.25

Descriptive statistics

Standard deviation818.12188
Coefficient of variation (CV)1.0082919
Kurtosis8.4055012
Mean811.3939
Median Absolute Deviation (MAD)298
Skewness2.4000216
Sum8113939
Variance669323.41
MonotonicityNot monotonic
2023-12-11T01:16:17.627383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296 24
 
0.2%
401 20
 
0.2%
195 20
 
0.2%
307 19
 
0.2%
333 19
 
0.2%
324 19
 
0.2%
270 18
 
0.2%
489 18
 
0.2%
422 18
 
0.2%
318 18
 
0.2%
Other values (2458) 9807
98.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 10
0.1%
3 8
0.1%
4 7
0.1%
5 9
0.1%
6 7
0.1%
7 5
0.1%
8 4
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
7447 1
< 0.1%
7300 1
< 0.1%
7290 1
< 0.1%
7234 1
< 0.1%
6538 1
< 0.1%
6527 1
< 0.1%
6441 1
< 0.1%
6418 1
< 0.1%
6382 1
< 0.1%
6243 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct1783
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496.6965
Minimum0
Maximum5882
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:17.793535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62
Q1169
median317
Q3619
95-th percentile1538
Maximum5882
Range5882
Interquartile range (IQR)450

Descriptive statistics

Standard deviation515.28148
Coefficient of variation (CV)1.0374172
Kurtosis8.7026201
Mean496.6965
Median Absolute Deviation (MAD)182.5
Skewness2.453594
Sum4966965
Variance265515
MonotonicityNot monotonic
2023-12-11T01:16:17.954463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121 32
 
0.3%
198 31
 
0.3%
165 29
 
0.3%
152 28
 
0.3%
119 28
 
0.3%
153 28
 
0.3%
162 28
 
0.3%
132 27
 
0.3%
143 27
 
0.3%
109 27
 
0.3%
Other values (1773) 9715
97.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
2 10
0.1%
3 9
0.1%
4 10
0.1%
5 8
0.1%
6 17
0.2%
7 13
0.1%
8 1
 
< 0.1%
9 7
0.1%
ValueCountFrequency (%)
5882 1
< 0.1%
4850 1
< 0.1%
4621 1
< 0.1%
4578 1
< 0.1%
4386 1
< 0.1%
4152 1
< 0.1%
3950 1
< 0.1%
3774 1
< 0.1%
3694 1
< 0.1%
3688 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct1415
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350.9517
Minimum0
Maximum3583
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:18.126775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q1119
median225
Q3432
95-th percentile1065
Maximum3583
Range3583
Interquartile range (IQR)313

Descriptive statistics

Standard deviation384.00979
Coefficient of variation (CV)1.0941956
Kurtosis10.64943
Mean350.9517
Median Absolute Deviation (MAD)129
Skewness2.7933085
Sum3509517
Variance147463.52
MonotonicityNot monotonic
2023-12-11T01:16:18.313259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 38
 
0.4%
93 37
 
0.4%
105 36
 
0.4%
59 36
 
0.4%
101 35
 
0.4%
90 34
 
0.3%
164 34
 
0.3%
135 34
 
0.3%
162 34
 
0.3%
78 34
 
0.3%
Other values (1405) 9648
96.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 17
0.2%
2 16
0.2%
3 17
0.2%
4 10
0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 14
0.1%
8 8
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
3583 1
< 0.1%
3222 1
< 0.1%
3147 1
< 0.1%
3138 1
< 0.1%
3129 1
< 0.1%
3105 1
< 0.1%
2927 1
< 0.1%
2917 1
< 0.1%
2894 1
< 0.1%
2875 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct1304
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.9825
Minimum0
Maximum3392
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:18.471289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q198
median202
Q3384
95-th percentile941.05
Maximum3392
Range3392
Interquartile range (IQR)286

Descriptive statistics

Standard deviation351.76452
Coefficient of variation (CV)1.1347883
Kurtosis14.059301
Mean309.9825
Median Absolute Deviation (MAD)123
Skewness3.107436
Sum3099825
Variance123738.28
MonotonicityNot monotonic
2023-12-11T01:16:18.643625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 50
 
0.5%
42 42
 
0.4%
47 42
 
0.4%
45 41
 
0.4%
71 38
 
0.4%
95 38
 
0.4%
75 38
 
0.4%
56 38
 
0.4%
46 37
 
0.4%
52 36
 
0.4%
Other values (1294) 9600
96.0%
ValueCountFrequency (%)
0 16
0.2%
1 23
0.2%
2 24
0.2%
3 9
 
0.1%
4 16
0.2%
5 13
0.1%
6 9
 
0.1%
7 13
0.1%
8 13
0.1%
9 12
0.1%
ValueCountFrequency (%)
3392 1
< 0.1%
3305 1
< 0.1%
3202 1
< 0.1%
3090 1
< 0.1%
3068 1
< 0.1%
3018 1
< 0.1%
2989 1
< 0.1%
2986 1
< 0.1%
2952 1
< 0.1%
2940 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1093
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.0172
Minimum0
Maximum4780
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:18.862338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.95
Q170
median159.5
Q3313
95-th percentile760
Maximum4780
Range4780
Interquartile range (IQR)243

Descriptive statistics

Standard deviation289.50344
Coefficient of variation (CV)1.1672716
Kurtosis24.05565
Mean248.0172
Median Absolute Deviation (MAD)106.5
Skewness3.6616872
Sum2480172
Variance83812.239
MonotonicityNot monotonic
2023-12-11T01:16:19.052137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 61
 
0.6%
36 61
 
0.6%
42 57
 
0.6%
38 53
 
0.5%
32 53
 
0.5%
41 52
 
0.5%
37 51
 
0.5%
39 50
 
0.5%
28 49
 
0.5%
35 49
 
0.5%
Other values (1083) 9464
94.6%
ValueCountFrequency (%)
0 38
0.4%
1 21
0.2%
2 22
0.2%
3 13
 
0.1%
4 11
 
0.1%
5 15
 
0.1%
6 16
0.2%
7 15
 
0.1%
8 21
0.2%
9 25
0.2%
ValueCountFrequency (%)
4780 1
< 0.1%
3258 1
< 0.1%
3085 1
< 0.1%
3045 1
< 0.1%
2946 1
< 0.1%
2910 1
< 0.1%
2890 1
< 0.1%
2868 1
< 0.1%
2864 1
< 0.1%
2768 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct738
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.8937
Minimum0
Maximum2260
Zeros52
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:19.224968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q139
median96
Q3187
95-th percentile434
Maximum2260
Range2260
Interquartile range (IQR)148

Descriptive statistics

Standard deviation176.07448
Coefficient of variation (CV)1.2068683
Kurtosis28.653859
Mean145.8937
Median Absolute Deviation (MAD)66
Skewness4.1100973
Sum1458937
Variance31002.223
MonotonicityNot monotonic
2023-12-11T01:16:19.387333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 94
 
0.9%
21 92
 
0.9%
22 91
 
0.9%
15 86
 
0.9%
17 85
 
0.9%
18 81
 
0.8%
14 79
 
0.8%
9 79
 
0.8%
13 77
 
0.8%
16 77
 
0.8%
Other values (728) 9159
91.6%
ValueCountFrequency (%)
0 52
0.5%
1 32
0.3%
2 27
 
0.3%
3 26
 
0.3%
4 28
 
0.3%
5 48
0.5%
6 49
0.5%
7 63
0.6%
8 51
0.5%
9 79
0.8%
ValueCountFrequency (%)
2260 1
< 0.1%
2243 1
< 0.1%
2137 1
< 0.1%
2136 1
< 0.1%
2126 1
< 0.1%
2098 1
< 0.1%
2043 1
< 0.1%
2002 1
< 0.1%
2001 1
< 0.1%
1756 1
< 0.1%

24시-01시
Real number (ℝ)

ZEROS 

Distinct223
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.8945
Minimum0
Maximum374
Zeros522
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:16:19.567908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12.5
Q337
95-th percentile102
Maximum374
Range374
Interquartile range (IQR)34

Descriptive statistics

Standard deviation35.62753
Coefficient of variation (CV)1.3247144
Kurtosis7.6645414
Mean26.8945
Median Absolute Deviation (MAD)10.5
Skewness2.3908182
Sum268945
Variance1269.3209
MonotonicityNot monotonic
2023-12-11T01:16:19.713425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 780
 
7.8%
2 711
 
7.1%
3 613
 
6.1%
0 522
 
5.2%
4 445
 
4.5%
5 413
 
4.1%
6 329
 
3.3%
7 243
 
2.4%
8 239
 
2.4%
9 199
 
2.0%
Other values (213) 5506
55.1%
ValueCountFrequency (%)
0 522
5.2%
1 780
7.8%
2 711
7.1%
3 613
6.1%
4 445
4.5%
5 413
4.1%
6 329
3.3%
7 243
 
2.4%
8 239
 
2.4%
9 199
 
2.0%
ValueCountFrequency (%)
374 1
 
< 0.1%
322 1
 
< 0.1%
287 1
 
< 0.1%
280 1
 
< 0.1%
275 1
 
< 0.1%
263 3
< 0.1%
233 1
 
< 0.1%
231 1
 
< 0.1%
230 1
 
< 0.1%
229 1
 
< 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
75224407서 동2017-10-31승차2711000110911924629420112413916716713612114020127286675840203
7856107서대신2017-07-22승차22320007475011412616916518119216913214515119615093604624123
210661251동래2017-08-26승차17531100428033954091599710681173124112661163109911011127111594880883389058637
6694105괴 정2017-12-18승차11170000181403399911254782620607721726715717737889801389265238138758
60122303배 산2017-02-24하차51150001247810827920314322318325633333243050953644228530722116755
44236223개 금2017-05-23승차9970000223436510171305808695663621555525488509581678334209203106675
713614024동래2017-07-16하차161300013052851001031219586102799711812112291786544167
79869414안 평2017-03-12하차2116000125352105108209156145145150911751401578110783844923
60039303배 산2017-01-14승차38720001148146209325364318345293315203188231260220114655247271
137797낫 개2017-10-13하차55460000657108194115144200227256327457455503681528344319315192118
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
48812229모 덕2017-08-29승차292700032430681246650746774882352304557112322121403671
21542126명 륜2017-04-21승차120640005132319869121475956566271779867374181577299362944656325312910
62303306거 제2017-02-20승차64200000621092443922642523403163664485374575761077328187153245643
43745222동의대2017-09-19하차9421000048972461122176588556463940233231745550062439026127832214727
2617100동 매2017-05-18하차3134000016694123149188971291501891611972392892191401391008411
7993107서대신2017-09-28하차3618000115751814521912051862221992141992252883291931361051047226
53119235화 명2017-07-23하차637520002211011222735641029234542742943343854257044135031630515692
14193116좌 천2017-03-27하차392400002791316531211250180200214215225301256280202133118103638
77634411영산대2017-02-18승차3144000296111183216233242257210232171188192243249123775242223
17997121양 정2017-06-12하차184882001872119472601187698877410001106958872113813161707102564349441628739