Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory274.0 B

Variable types

Numeric26
Text1
DateTime1
Categorical2

Dataset

Description부산도시철도 승하차 인원에 대한 자료로,일별, 역별, 시간대별 부산 도시철도 승차 및 하차 인원 정보 항목을 제공합니다.(2022년 자료부터 "요일" 항목을 추가 제공합니다)
Author부산교통공사
URLhttps://www.data.go.kr/data/3057229/fileData.do

Alerts

01시-02시 has 9189 (91.9%) zerosZeros
02시-03시 has 9255 (92.5%) zerosZeros
03시-04시 has 9408 (94.1%) zerosZeros
04시-05시 has 4532 (45.3%) zerosZeros
05시-06시 has 117 (1.2%) zerosZeros
24시-01시 has 469 (4.7%) zerosZeros

Reproduction

Analysis started2024-03-23 03:59:42.784707
Analysis finished2024-03-23 03:59:43.970786
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역번호
Real number (ℝ)

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.4239
Minimum95
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:44.236925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile100
Q1123
median217
Q3303
95-th percentile409
Maximum414
Range319
Interquartile range (IQR)180

Descriptive statistics

Standard deviation96.89668
Coefficient of variation (CV)0.44361757
Kurtosis-0.64550629
Mean218.4239
Median Absolute Deviation (MAD)90
Skewness0.55187043
Sum2184239
Variance9388.9665
MonotonicityNot monotonic
2024-03-23T03:59:44.789117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 101
 
1.0%
311 99
 
1.0%
225 99
 
1.0%
97 97
 
1.0%
310 97
 
1.0%
242 97
 
1.0%
408 97
 
1.0%
98 97
 
1.0%
402 97
 
1.0%
308 96
 
1.0%
Other values (102) 9023
90.2%
ValueCountFrequency (%)
95 87
0.9%
96 94
0.9%
97 97
1.0%
98 97
1.0%
99 91
0.9%
100 90
0.9%
101 79
0.8%
102 101
1.0%
103 88
0.9%
104 86
0.9%
ValueCountFrequency (%)
414 94
0.9%
413 89
0.9%
412 84
0.8%
411 90
0.9%
410 92
0.9%
409 91
0.9%
408 97
1.0%
407 87
0.9%
406 89
0.9%
405 94
0.9%

역명
Text

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T03:59:45.528723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.5325
Min length2

Characters and Unicode

Total characters25325
Distinct characters133
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row동의대
2nd row남양산
3rd row장전
4th row중동
5th row영산대
ValueCountFrequency (%)
동래 190
 
1.9%
서면 180
 
1.8%
덕천 178
 
1.8%
연산 171
 
1.7%
하단 101
 
1.0%
남산정 99
 
1.0%
주례 99
 
1.0%
남양산 97
 
1.0%
신장림 97
 
1.0%
금사 97
 
1.0%
Other values (98) 8691
86.9%
2024-03-23T03:59:46.952649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 1607
 
6.3%
대 1439
 
5.7%
동 910
 
3.6%
장 814
 
3.2%
포 722
 
2.9%
부 717
 
2.8%
남 631
 
2.5%
사 556
 
2.2%
서 518
 
2.0%
덕 448
 
1.8%
Other values (123) 16963
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25325
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1607
 
6.3%
대 1439
 
5.7%
동 910
 
3.6%
장 814
 
3.2%
포 722
 
2.9%
부 717
 
2.8%
남 631
 
2.5%
사 556
 
2.2%
서 518
 
2.0%
덕 448
 
1.8%
Other values (123) 16963
67.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25325
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1607
 
6.3%
대 1439
 
5.7%
동 910
 
3.6%
장 814
 
3.2%
포 722
 
2.9%
부 717
 
2.8%
남 631
 
2.5%
사 556
 
2.2%
서 518
 
2.0%
덕 448
 
1.8%
Other values (123) 16963
67.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25325
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 1607
 
6.3%
대 1439
 
5.7%
동 910
 
3.6%
장 814
 
3.2%
포 722
 
2.9%
부 717
 
2.8%
남 631
 
2.5%
사 556
 
2.2%
서 518
 
2.0%
덕 448
 
1.8%
Other values (123) 16963
67.0%

년월일
Date

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-01 00:00:00
Maximum2024-02-29 00:00:00
2024-03-23T03:59:47.477665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:59:48.050129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
월
1506 
수
1505 
화
1500 
목
1494 
토
1342 
Other values (2)
2653 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금
2nd row토
3rd row수
4th row수
5th row토

Common Values

ValueCountFrequency (%)
월 1506
15.1%
수 1505
15.0%
화 1500
15.0%
목 1494
14.9%
토 1342
13.4%
금 1336
13.4%
일 1317
13.2%

Length

2024-03-23T03:59:48.625884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:59:48.986888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월 1506
15.1%
수 1505
15.0%
화 1500
15.0%
목 1494
14.9%
토 1342
13.4%
금 1336
13.4%
일 1317
13.2%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5023 
하차
4977 

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 5023
50.2%
하차 4977
49.8%

Length

2024-03-23T03:59:49.483808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:59:49.939955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5023
50.2%
하차 4977
49.8%

합계
Real number (ℝ)

Distinct7165
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7316.7646
Minimum52
Maximum47925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:50.795454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile1223.65
Q13141.75
median5167
Q310026
95-th percentile19235.7
Maximum47925
Range47873
Interquartile range (IQR)6884.25

Descriptive statistics

Standard deviation6102.4158
Coefficient of variation (CV)0.834032
Kurtosis5.2740578
Mean7316.7646
Median Absolute Deviation (MAD)2675
Skewness1.8877402
Sum73167646
Variance37239479
MonotonicityNot monotonic
2024-03-23T03:59:51.454970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7234 6
 
0.1%
2688 6
 
0.1%
4301 6
 
0.1%
2545 6
 
0.1%
3033 5
 
0.1%
1671 5
 
0.1%
3831 5
 
0.1%
4133 5
 
0.1%
4233 5
 
0.1%
133 5
 
0.1%
Other values (7155) 9946
99.5%
ValueCountFrequency (%)
52 2
< 0.1%
60 1
< 0.1%
63 2
< 0.1%
71 1
< 0.1%
74 1
< 0.1%
76 1
< 0.1%
77 1
< 0.1%
81 1
< 0.1%
83 1
< 0.1%
87 1
< 0.1%
ValueCountFrequency (%)
47925 1
< 0.1%
47564 1
< 0.1%
45715 1
< 0.1%
45616 1
< 0.1%
45580 1
< 0.1%
45268 1
< 0.1%
44845 1
< 0.1%
44590 1
< 0.1%
43019 1
< 0.1%
42919 1
< 0.1%

01시-02시
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1881
Minimum0
Maximum10
Zeros9189
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:52.005786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7708293
Coefficient of variation (CV)4.0979761
Kurtosis38.38339
Mean0.1881
Median Absolute Deviation (MAD)0
Skewness5.5504207
Sum1881
Variance0.59417781
MonotonicityNot monotonic
2024-03-23T03:59:52.511586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9189
91.9%
1 296
 
3.0%
2 242
 
2.4%
3 137
 
1.4%
4 70
 
0.7%
5 31
 
0.3%
6 11
 
0.1%
7 10
 
0.1%
8 8
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
0 9189
91.9%
1 296
 
3.0%
2 242
 
2.4%
3 137
 
1.4%
4 70
 
0.7%
5 31
 
0.3%
6 11
 
0.1%
7 10
 
0.1%
8 8
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 5
 
0.1%
8 8
 
0.1%
7 10
 
0.1%
6 11
 
0.1%
5 31
 
0.3%
4 70
 
0.7%
3 137
1.4%
2 242
2.4%
1 296
3.0%

02시-03시
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1727
Minimum0
Maximum10
Zeros9255
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:52.867832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7381932
Coefficient of variation (CV)4.274425
Kurtosis39.350645
Mean0.1727
Median Absolute Deviation (MAD)0
Skewness5.6677679
Sum1727
Variance0.5449292
MonotonicityNot monotonic
2024-03-23T03:59:53.426485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9255
92.5%
1 287
 
2.9%
2 190
 
1.9%
3 140
 
1.4%
4 68
 
0.7%
5 25
 
0.2%
7 14
 
0.1%
6 14
 
0.1%
8 4
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
0 9255
92.5%
1 287
 
2.9%
2 190
 
1.9%
3 140
 
1.4%
4 68
 
0.7%
5 25
 
0.2%
6 14
 
0.1%
7 14
 
0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
10 2
 
< 0.1%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 14
 
0.1%
6 14
 
0.1%
5 25
 
0.2%
4 68
 
0.7%
3 140
1.4%
2 190
1.9%
1 287
2.9%

03시-04시
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1374
Minimum0
Maximum22
Zeros9408
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:54.017112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.70140604
Coefficient of variation (CV)5.1048475
Kurtosis148.51694
Mean0.1374
Median Absolute Deviation (MAD)0
Skewness8.9864579
Sum1374
Variance0.49197044
MonotonicityNot monotonic
2024-03-23T03:59:54.509087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9408
94.1%
1 256
 
2.6%
2 137
 
1.4%
4 81
 
0.8%
3 68
 
0.7%
5 28
 
0.3%
6 10
 
0.1%
8 7
 
0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 9408
94.1%
1 256
 
2.6%
2 137
 
1.4%
3 68
 
0.7%
4 81
 
0.8%
5 28
 
0.3%
6 10
 
0.1%
7 2
 
< 0.1%
8 7
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
15 1
 
< 0.1%
9 1
 
< 0.1%
8 7
 
0.1%
7 2
 
< 0.1%
6 10
 
0.1%
5 28
 
0.3%
4 81
0.8%
3 68
0.7%
2 137
1.4%

04시-05시
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1946
Minimum0
Maximum53
Zeros4532
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:55.159317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum53
Range53
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.4498889
Coefficient of variation (CV)2.0276537
Kurtosis29.416537
Mean2.1946
Median Absolute Deviation (MAD)1
Skewness4.6547503
Sum21946
Variance19.801511
MonotonicityNot monotonic
2024-03-23T03:59:56.023999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 4532
45.3%
1 1892
18.9%
2 1156
 
11.6%
3 638
 
6.4%
4 458
 
4.6%
5 299
 
3.0%
6 194
 
1.9%
7 160
 
1.6%
8 103
 
1.0%
9 95
 
0.9%
Other values (38) 473
 
4.7%
ValueCountFrequency (%)
0 4532
45.3%
1 1892
18.9%
2 1156
 
11.6%
3 638
 
6.4%
4 458
 
4.6%
5 299
 
3.0%
6 194
 
1.9%
7 160
 
1.6%
8 103
 
1.0%
9 95
 
0.9%
ValueCountFrequency (%)
53 1
 
< 0.1%
48 1
 
< 0.1%
46 2
 
< 0.1%
45 3
< 0.1%
43 2
 
< 0.1%
42 2
 
< 0.1%
41 4
< 0.1%
40 3
< 0.1%
39 2
 
< 0.1%
38 6
0.1%

05시-06시
Real number (ℝ)

ZEROS 

Distinct328
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.3765
Minimum0
Maximum1123
Zeros117
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:56.895087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121
median49
Q398
95-th percentile184
Maximum1123
Range1123
Interquartile range (IQR)77

Descriptive statistics

Standard deviation62.51085
Coefficient of variation (CV)0.92778416
Kurtosis16.415408
Mean67.3765
Median Absolute Deviation (MAD)34
Skewness2.1772392
Sum673765
Variance3907.6063
MonotonicityNot monotonic
2024-03-23T03:59:57.876903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 193
 
1.9%
3 168
 
1.7%
4 150
 
1.5%
5 147
 
1.5%
2 142
 
1.4%
6 127
 
1.3%
23 120
 
1.2%
0 117
 
1.2%
22 115
 
1.1%
24 113
 
1.1%
Other values (318) 8608
86.1%
ValueCountFrequency (%)
0 117
1.2%
1 193
1.9%
2 142
1.4%
3 168
1.7%
4 150
1.5%
5 147
1.5%
6 127
1.3%
7 96
1.0%
8 101
1.0%
9 89
0.9%
ValueCountFrequency (%)
1123 1
< 0.1%
1070 1
< 0.1%
447 1
< 0.1%
391 1
< 0.1%
372 1
< 0.1%
353 1
< 0.1%
342 1
< 0.1%
339 1
< 0.1%
336 1
< 0.1%
335 2
< 0.1%

06시-07시
Real number (ℝ)

Distinct607
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.21
Minimum0
Maximum4102
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T03:59:58.870857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.95
Q169
median122
Q3200
95-th percentile393
Maximum4102
Range4102
Interquartile range (IQR)131

Descriptive statistics

Standard deviation133.58404
Coefficient of variation (CV)0.87762988
Kurtosis112.85008
Mean152.21
Median Absolute Deviation (MAD)61
Skewness5.8505718
Sum1522100
Variance17844.697
MonotonicityNot monotonic
2024-03-23T03:59:59.714206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 73
 
0.7%
66 70
 
0.7%
58 69
 
0.7%
83 66
 
0.7%
63 65
 
0.7%
79 63
 
0.6%
62 62
 
0.6%
71 61
 
0.6%
69 60
 
0.6%
73 60
 
0.6%
Other values (597) 9351
93.5%
ValueCountFrequency (%)
0 5
 
0.1%
1 11
 
0.1%
2 21
0.2%
3 17
0.2%
4 22
0.2%
5 15
0.1%
6 23
0.2%
7 28
0.3%
8 23
0.2%
9 18
0.2%
ValueCountFrequency (%)
4102 1
< 0.1%
3168 1
< 0.1%
2068 1
< 0.1%
1287 1
< 0.1%
1186 1
< 0.1%
1015 1
< 0.1%
1008 1
< 0.1%
1005 1
< 0.1%
992 1
< 0.1%
991 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct1131
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.4385
Minimum0
Maximum3211
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:00.472625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q1107
median228
Q3436
95-th percentile858
Maximum3211
Range3211
Interquartile range (IQR)329

Descriptive statistics

Standard deviation275.41166
Coefficient of variation (CV)0.8814908
Kurtosis3.5109307
Mean312.4385
Median Absolute Deviation (MAD)144
Skewness1.5867367
Sum3124385
Variance75851.585
MonotonicityNot monotonic
2024-03-23T04:00:01.210583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 42
 
0.4%
66 40
 
0.4%
115 39
 
0.4%
91 38
 
0.4%
98 37
 
0.4%
119 36
 
0.4%
60 36
 
0.4%
122 36
 
0.4%
77 36
 
0.4%
63 36
 
0.4%
Other values (1121) 9624
96.2%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 4
 
< 0.1%
2 5
 
0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
5 14
0.1%
6 7
0.1%
7 12
0.1%
8 9
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
3211 1
< 0.1%
2606 1
< 0.1%
1551 1
< 0.1%
1453 1
< 0.1%
1419 1
< 0.1%
1414 1
< 0.1%
1399 1
< 0.1%
1388 2
< 0.1%
1373 1
< 0.1%
1369 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct1981
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean602.9391
Minimum0
Maximum4401
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:01.748822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56
Q1196
median417.5
Q3789.25
95-th percentile1816.05
Maximum4401
Range4401
Interquartile range (IQR)593.25

Descriptive statistics

Standard deviation594.65492
Coefficient of variation (CV)0.98626034
Kurtosis6.7896857
Mean602.9391
Median Absolute Deviation (MAD)266.5
Skewness2.1703303
Sum6029391
Variance353614.48
MonotonicityNot monotonic
2024-03-23T04:00:02.303332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237 28
 
0.3%
73 24
 
0.2%
72 23
 
0.2%
238 23
 
0.2%
69 23
 
0.2%
295 23
 
0.2%
133 22
 
0.2%
138 22
 
0.2%
155 22
 
0.2%
242 22
 
0.2%
Other values (1971) 9768
97.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4
< 0.1%
2 6
0.1%
4 7
0.1%
5 6
0.1%
6 5
0.1%
7 6
0.1%
8 5
0.1%
9 5
0.1%
10 7
0.1%
ValueCountFrequency (%)
4401 1
< 0.1%
4345 1
< 0.1%
4344 1
< 0.1%
4342 1
< 0.1%
4336 1
< 0.1%
4333 2
< 0.1%
4324 1
< 0.1%
4291 1
< 0.1%
4289 2
< 0.1%
4280 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct1420
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.0531
Minimum1
Maximum3148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:02.839651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile56
Q1161
median315.5
Q3540
95-th percentile1084
Maximum3148
Range3147
Interquartile range (IQR)379

Descriptive statistics

Standard deviation376.11823
Coefficient of variation (CV)0.90619304
Kurtosis10.553996
Mean415.0531
Median Absolute Deviation (MAD)174.5
Skewness2.538728
Sum4150531
Variance141464.92
MonotonicityNot monotonic
2024-03-23T04:00:03.266377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117 32
 
0.3%
136 30
 
0.3%
204 30
 
0.3%
133 30
 
0.3%
153 29
 
0.3%
129 29
 
0.3%
208 29
 
0.3%
184 28
 
0.3%
98 28
 
0.3%
128 28
 
0.3%
Other values (1410) 9707
97.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 6
 
0.1%
3 5
 
0.1%
4 15
0.1%
5 23
0.2%
6 9
 
0.1%
7 9
 
0.1%
8 9
 
0.1%
9 6
 
0.1%
10 4
 
< 0.1%
ValueCountFrequency (%)
3148 1
< 0.1%
3137 1
< 0.1%
3122 1
< 0.1%
3105 1
< 0.1%
3098 1
< 0.1%
3089 1
< 0.1%
3085 1
< 0.1%
3045 1
< 0.1%
3035 2
< 0.1%
3026 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct1348
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.4569
Minimum0
Maximum3201
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:03.877819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60.95
Q1166
median288
Q3517
95-th percentile1037.05
Maximum3201
Range3201
Interquartile range (IQR)351

Descriptive statistics

Standard deviation335.89411
Coefficient of variation (CV)0.86468822
Kurtosis9.7014646
Mean388.4569
Median Absolute Deviation (MAD)154
Skewness2.3714238
Sum3884569
Variance112824.85
MonotonicityNot monotonic
2024-03-23T04:00:04.379336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188 37
 
0.4%
175 36
 
0.4%
190 34
 
0.3%
122 32
 
0.3%
202 31
 
0.3%
182 30
 
0.3%
121 30
 
0.3%
194 29
 
0.3%
177 29
 
0.3%
112 29
 
0.3%
Other values (1338) 9683
96.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 2
 
< 0.1%
2 7
0.1%
3 6
0.1%
4 8
0.1%
5 12
0.1%
6 9
0.1%
7 11
0.1%
8 8
0.1%
9 6
0.1%
ValueCountFrequency (%)
3201 1
< 0.1%
3096 1
< 0.1%
3067 1
< 0.1%
2968 1
< 0.1%
2854 1
< 0.1%
2848 1
< 0.1%
2844 1
< 0.1%
2796 1
< 0.1%
2791 1
< 0.1%
2786 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1526
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.0068
Minimum1
Maximum4202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:04.954187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70
Q1189
median315
Q3579
95-th percentile1182.1
Maximum4202
Range4201
Interquartile range (IQR)390

Descriptive statistics

Standard deviation402.09869
Coefficient of variation (CV)0.91384654
Kurtosis12.472874
Mean440.0068
Median Absolute Deviation (MAD)161
Skewness2.7250852
Sum4400068
Variance161683.36
MonotonicityNot monotonic
2024-03-23T04:00:05.479854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
240 33
 
0.3%
215 33
 
0.3%
190 32
 
0.3%
171 31
 
0.3%
185 30
 
0.3%
317 28
 
0.3%
220 28
 
0.3%
225 28
 
0.3%
205 27
 
0.3%
195 27
 
0.3%
Other values (1516) 9703
97.0%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
4 9
0.1%
5 8
0.1%
6 9
0.1%
7 8
0.1%
8 10
0.1%
9 8
0.1%
10 8
0.1%
ValueCountFrequency (%)
4202 1
< 0.1%
4172 1
< 0.1%
4099 1
< 0.1%
4014 1
< 0.1%
4002 1
< 0.1%
3777 1
< 0.1%
3753 1
< 0.1%
3385 1
< 0.1%
3336 1
< 0.1%
3307 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1597
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.2402
Minimum2
Maximum5126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:06.115725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile78.95
Q1198.75
median328
Q3616
95-th percentile1270.05
Maximum5126
Range5124
Interquartile range (IQR)417.25

Descriptive statistics

Standard deviation436.05448
Coefficient of variation (CV)0.93325548
Kurtosis15.06404
Mean467.2402
Median Absolute Deviation (MAD)167
Skewness2.9401047
Sum4672402
Variance190143.51
MonotonicityNot monotonic
2024-03-23T04:00:06.696131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239 39
 
0.4%
246 32
 
0.3%
285 31
 
0.3%
263 30
 
0.3%
150 29
 
0.3%
260 29
 
0.3%
256 29
 
0.3%
235 28
 
0.3%
153 28
 
0.3%
192 28
 
0.3%
Other values (1587) 9697
97.0%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 2
 
< 0.1%
4 6
0.1%
5 7
0.1%
6 10
0.1%
7 9
0.1%
8 14
0.1%
9 10
0.1%
10 7
0.1%
11 5
 
0.1%
ValueCountFrequency (%)
5126 1
< 0.1%
4694 1
< 0.1%
4688 1
< 0.1%
4547 1
< 0.1%
4493 1
< 0.1%
4303 1
< 0.1%
4177 1
< 0.1%
3792 1
< 0.1%
3775 1
< 0.1%
3754 2
< 0.1%

13시-14시
Real number (ℝ)

Distinct1662
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.9648
Minimum1
Maximum5051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:07.232431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile83
Q1204
median337
Q3634
95-th percentile1338.05
Maximum5051
Range5050
Interquartile range (IQR)430

Descriptive statistics

Standard deviation459.1481
Coefficient of variation (CV)0.93902076
Kurtosis13.098328
Mean488.9648
Median Absolute Deviation (MAD)178
Skewness2.7862188
Sum4889648
Variance210816.98
MonotonicityNot monotonic
2024-03-23T04:00:08.104211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244 30
 
0.3%
353 30
 
0.3%
148 29
 
0.3%
261 29
 
0.3%
212 28
 
0.3%
239 28
 
0.3%
203 28
 
0.3%
228 27
 
0.3%
190 27
 
0.3%
201 27
 
0.3%
Other values (1652) 9717
97.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
4 2
 
< 0.1%
5 3
 
< 0.1%
6 9
0.1%
7 8
0.1%
8 3
 
< 0.1%
9 8
0.1%
10 12
0.1%
11 9
0.1%
ValueCountFrequency (%)
5051 1
< 0.1%
4831 1
< 0.1%
4777 1
< 0.1%
4730 1
< 0.1%
4547 1
< 0.1%
4447 1
< 0.1%
4078 1
< 0.1%
3992 1
< 0.1%
3926 1
< 0.1%
3876 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1676
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.3372
Minimum1
Maximum4359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:08.727985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75
Q1200
median324
Q3631.25
95-th percentile1359
Maximum4359
Range4358
Interquartile range (IQR)431.25

Descriptive statistics

Standard deviation450.3047
Coefficient of variation (CV)0.933589
Kurtosis9.3077803
Mean482.3372
Median Absolute Deviation (MAD)170
Skewness2.45761
Sum4823372
Variance202774.33
MonotonicityNot monotonic
2024-03-23T04:00:09.255463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271 33
 
0.3%
168 32
 
0.3%
238 32
 
0.3%
229 31
 
0.3%
253 30
 
0.3%
223 29
 
0.3%
243 28
 
0.3%
251 28
 
0.3%
273 28
 
0.3%
143 27
 
0.3%
Other values (1666) 9702
97.0%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 3
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 8
0.1%
8 7
0.1%
9 7
0.1%
10 12
0.1%
11 6
0.1%
ValueCountFrequency (%)
4359 1
< 0.1%
4275 1
< 0.1%
4188 1
< 0.1%
3997 1
< 0.1%
3891 1
< 0.1%
3833 1
< 0.1%
3713 1
< 0.1%
3486 1
< 0.1%
3474 1
< 0.1%
3440 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1714
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510.0881
Minimum2
Maximum4067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:09.723871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile79
Q1212.75
median345
Q3660
95-th percentile1429.05
Maximum4067
Range4065
Interquartile range (IQR)447.25

Descriptive statistics

Standard deviation471.48854
Coefficient of variation (CV)0.92432767
Kurtosis7.6001443
Mean510.0881
Median Absolute Deviation (MAD)178
Skewness2.3166232
Sum5100881
Variance222301.45
MonotonicityNot monotonic
2024-03-23T04:00:10.249434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211 31
 
0.3%
203 31
 
0.3%
265 31
 
0.3%
226 29
 
0.3%
225 29
 
0.3%
295 28
 
0.3%
241 27
 
0.3%
279 27
 
0.3%
258 27
 
0.3%
217 27
 
0.3%
Other values (1704) 9713
97.1%
ValueCountFrequency (%)
2 3
< 0.1%
3 4
< 0.1%
4 4
< 0.1%
5 5
0.1%
6 5
0.1%
7 4
< 0.1%
8 6
0.1%
9 6
0.1%
10 3
< 0.1%
11 7
0.1%
ValueCountFrequency (%)
4067 1
< 0.1%
3807 1
< 0.1%
3793 1
< 0.1%
3751 1
< 0.1%
3687 1
< 0.1%
3635 1
< 0.1%
3592 1
< 0.1%
3487 1
< 0.1%
3371 1
< 0.1%
3337 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct1815
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550.3455
Minimum1
Maximum4185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:10.862853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile84.95
Q1229
median379
Q3729
95-th percentile1515
Maximum4185
Range4184
Interquartile range (IQR)500

Descriptive statistics

Standard deviation497.3312
Coefficient of variation (CV)0.90367088
Kurtosis7.2748055
Mean550.3455
Median Absolute Deviation (MAD)199
Skewness2.2411325
Sum5503455
Variance247338.33
MonotonicityNot monotonic
2024-03-23T04:00:11.576610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253 35
 
0.4%
159 27
 
0.3%
205 27
 
0.3%
240 27
 
0.3%
279 25
 
0.2%
206 25
 
0.2%
322 24
 
0.2%
258 24
 
0.2%
223 24
 
0.2%
257 23
 
0.2%
Other values (1805) 9739
97.4%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 5
0.1%
4 3
 
< 0.1%
5 6
0.1%
6 8
0.1%
7 10
0.1%
8 2
 
< 0.1%
9 5
0.1%
10 7
0.1%
ValueCountFrequency (%)
4185 1
< 0.1%
3926 1
< 0.1%
3814 1
< 0.1%
3805 2
< 0.1%
3792 1
< 0.1%
3783 1
< 0.1%
3757 1
< 0.1%
3724 1
< 0.1%
3686 1
< 0.1%
3666 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct1992
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.0103
Minimum1
Maximum4363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:12.041344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85
Q1246
median439
Q3812.25
95-th percentile1717.05
Maximum4363
Range4362
Interquartile range (IQR)566.25

Descriptive statistics

Standard deviation554.32233
Coefficient of variation (CV)0.88974826
Kurtosis5.4635962
Mean623.0103
Median Absolute Deviation (MAD)241
Skewness1.9806764
Sum6230103
Variance307273.24
MonotonicityNot monotonic
2024-03-23T04:00:12.569909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218 26
 
0.3%
250 24
 
0.2%
232 24
 
0.2%
300 23
 
0.2%
282 22
 
0.2%
407 22
 
0.2%
197 22
 
0.2%
281 22
 
0.2%
276 22
 
0.2%
264 21
 
0.2%
Other values (1982) 9772
97.7%
ValueCountFrequency (%)
1 6
0.1%
2 8
0.1%
3 7
0.1%
4 10
0.1%
5 5
0.1%
6 5
0.1%
7 7
0.1%
8 8
0.1%
9 4
 
< 0.1%
10 4
 
< 0.1%
ValueCountFrequency (%)
4363 1
< 0.1%
4053 1
< 0.1%
4044 1
< 0.1%
4014 1
< 0.1%
4006 1
< 0.1%
3912 1
< 0.1%
3886 1
< 0.1%
3882 1
< 0.1%
3812 1
< 0.1%
3740 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct2213
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.7959
Minimum0
Maximum5258
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:13.148579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71
Q1222
median469
Q3935
95-th percentile2037.05
Maximum5258
Range5258
Interquartile range (IQR)713

Descriptive statistics

Standard deviation677.09654
Coefficient of variation (CV)0.98587738
Kurtosis5.1885248
Mean686.7959
Median Absolute Deviation (MAD)282
Skewness2.0134753
Sum6867959
Variance458459.72
MonotonicityNot monotonic
2024-03-23T04:00:13.640118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197 25
 
0.2%
248 24
 
0.2%
225 23
 
0.2%
146 22
 
0.2%
250 22
 
0.2%
156 22
 
0.2%
231 22
 
0.2%
206 22
 
0.2%
284 21
 
0.2%
266 21
 
0.2%
Other values (2203) 9776
97.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 9
0.1%
2 8
0.1%
3 11
0.1%
4 17
0.2%
5 5
 
0.1%
6 8
0.1%
7 7
0.1%
8 7
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
5258 1
< 0.1%
5256 1
< 0.1%
5131 1
< 0.1%
4769 1
< 0.1%
4751 1
< 0.1%
4396 1
< 0.1%
4395 1
< 0.1%
4387 1
< 0.1%
4346 1
< 0.1%
4343 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct1397
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.0879
Minimum0
Maximum2991
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:14.252930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39
Q1119
median241
Q3464
95-th percentile1081
Maximum2991
Range2991
Interquartile range (IQR)345

Descriptive statistics

Standard deviation359.54823
Coefficient of variation (CV)1.0125612
Kurtosis7.4524763
Mean355.0879
Median Absolute Deviation (MAD)145
Skewness2.3398613
Sum3550879
Variance129274.93
MonotonicityNot monotonic
2024-03-23T04:00:14.818828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 41
 
0.4%
124 40
 
0.4%
78 37
 
0.4%
123 36
 
0.4%
125 36
 
0.4%
117 36
 
0.4%
127 36
 
0.4%
108 35
 
0.4%
121 34
 
0.3%
120 34
 
0.3%
Other values (1387) 9635
96.4%
ValueCountFrequency (%)
0 19
0.2%
1 17
0.2%
2 20
0.2%
3 10
0.1%
4 10
0.1%
5 6
 
0.1%
6 6
 
0.1%
7 5
 
0.1%
8 10
0.1%
9 11
0.1%
ValueCountFrequency (%)
2991 1
< 0.1%
2816 1
< 0.1%
2738 1
< 0.1%
2735 1
< 0.1%
2680 1
< 0.1%
2661 1
< 0.1%
2649 1
< 0.1%
2639 1
< 0.1%
2607 1
< 0.1%
2596 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct1118
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.9874
Minimum0
Maximum2965
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:15.424625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q188.75
median178
Q3338
95-th percentile780
Maximum2965
Range2965
Interquartile range (IQR)249.25

Descriptive statistics

Standard deviation295.20652
Coefficient of variation (CV)1.1015686
Kurtosis14.711725
Mean267.9874
Median Absolute Deviation (MAD)107
Skewness3.1370524
Sum2679874
Variance87146.887
MonotonicityNot monotonic
2024-03-23T04:00:15.872949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 48
 
0.5%
125 45
 
0.4%
84 44
 
0.4%
64 44
 
0.4%
69 44
 
0.4%
118 42
 
0.4%
90 41
 
0.4%
71 41
 
0.4%
58 41
 
0.4%
67 40
 
0.4%
Other values (1108) 9570
95.7%
ValueCountFrequency (%)
0 27
0.3%
1 21
0.2%
2 28
0.3%
3 12
0.1%
4 7
 
0.1%
5 9
 
0.1%
6 7
 
0.1%
7 15
0.1%
8 16
0.2%
9 15
0.1%
ValueCountFrequency (%)
2965 1
< 0.1%
2845 1
< 0.1%
2820 1
< 0.1%
2631 1
< 0.1%
2586 1
< 0.1%
2546 1
< 0.1%
2543 1
< 0.1%
2467 1
< 0.1%
2437 1
< 0.1%
2425 2
< 0.1%

21시-22시
Real number (ℝ)

Distinct976
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.2141
Minimum0
Maximum2500
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:16.473558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q168
median150
Q3281
95-th percentile645.05
Maximum2500
Range2500
Interquartile range (IQR)213

Descriptive statistics

Standard deviation239.24743
Coefficient of variation (CV)1.0815198
Kurtosis16.584352
Mean221.2141
Median Absolute Deviation (MAD)96
Skewness3.1122309
Sum2212141
Variance57239.332
MonotonicityNot monotonic
2024-03-23T04:00:17.023458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 57
 
0.6%
46 57
 
0.6%
54 56
 
0.6%
32 53
 
0.5%
30 51
 
0.5%
38 50
 
0.5%
34 50
 
0.5%
56 48
 
0.5%
65 47
 
0.5%
31 46
 
0.5%
Other values (966) 9485
94.8%
ValueCountFrequency (%)
0 28
0.3%
1 29
0.3%
2 30
0.3%
3 18
0.2%
4 23
0.2%
5 14
0.1%
6 21
0.2%
7 24
0.2%
8 18
0.2%
9 19
0.2%
ValueCountFrequency (%)
2500 1
< 0.1%
2457 1
< 0.1%
2399 1
< 0.1%
2365 1
< 0.1%
2338 1
< 0.1%
2273 1
< 0.1%
2220 1
< 0.1%
2214 1
< 0.1%
2205 1
< 0.1%
2192 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct766
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.1729
Minimum0
Maximum2239
Zeros52
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:17.573230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q147
median111
Q3212
95-th percentile490.05
Maximum2239
Range2239
Interquartile range (IQR)165

Descriptive statistics

Standard deviation187.1893
Coefficient of variation (CV)1.1264731
Kurtosis22.319745
Mean166.1729
Median Absolute Deviation (MAD)74
Skewness3.5403641
Sum1661729
Variance35039.834
MonotonicityNot monotonic
2024-03-23T04:00:17.999613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 82
 
0.8%
27 73
 
0.7%
30 71
 
0.7%
20 71
 
0.7%
28 67
 
0.7%
24 66
 
0.7%
13 66
 
0.7%
32 65
 
0.7%
39 62
 
0.6%
17 61
 
0.6%
Other values (756) 9316
93.2%
ValueCountFrequency (%)
0 52
0.5%
1 47
0.5%
2 21
0.2%
3 20
 
0.2%
4 30
0.3%
5 33
0.3%
6 46
0.5%
7 43
0.4%
8 44
0.4%
9 49
0.5%
ValueCountFrequency (%)
2239 1
< 0.1%
2155 1
< 0.1%
2153 1
< 0.1%
2047 1
< 0.1%
2015 1
< 0.1%
2006 1
< 0.1%
1950 1
< 0.1%
1927 1
< 0.1%
1841 1
< 0.1%
1837 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct529
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.3641
Minimum0
Maximum2223
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:18.426288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q125
median64
Q3130
95-th percentile286
Maximum2223
Range2223
Interquartile range (IQR)105

Descriptive statistics

Standard deviation125.41029
Coefficient of variation (CV)1.27496
Kurtosis50.241767
Mean98.3641
Median Absolute Deviation (MAD)46
Skewness5.3120979
Sum983641
Variance15727.741
MonotonicityNot monotonic
2024-03-23T04:00:19.074685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 130
 
1.3%
13 125
 
1.2%
17 123
 
1.2%
10 121
 
1.2%
15 120
 
1.2%
12 118
 
1.2%
18 117
 
1.2%
9 114
 
1.1%
6 112
 
1.1%
19 110
 
1.1%
Other values (519) 8810
88.1%
ValueCountFrequency (%)
0 60
0.6%
1 72
0.7%
2 60
0.6%
3 75
0.8%
4 91
0.9%
5 93
0.9%
6 112
1.1%
7 91
0.9%
8 97
1.0%
9 114
1.1%
ValueCountFrequency (%)
2223 1
< 0.1%
1780 1
< 0.1%
1748 1
< 0.1%
1735 1
< 0.1%
1718 1
< 0.1%
1708 1
< 0.1%
1674 1
< 0.1%
1662 1
< 0.1%
1630 1
< 0.1%
1584 1
< 0.1%

24시-01시
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.9825
Minimum0
Maximum190
Zeros469
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T04:00:19.670651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median9
Q324
95-th percentile67
Maximum190
Range190
Interquartile range (IQR)21

Descriptive statistics

Standard deviation23.375736
Coefficient of variation (CV)1.2999158
Kurtosis7.7566529
Mean17.9825
Median Absolute Deviation (MAD)7
Skewness2.4333901
Sum179825
Variance546.42504
MonotonicityNot monotonic
2024-03-23T04:00:20.583931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 969
 
9.7%
2 854
 
8.5%
3 661
 
6.6%
4 600
 
6.0%
0 469
 
4.7%
5 433
 
4.3%
6 377
 
3.8%
7 313
 
3.1%
8 278
 
2.8%
9 253
 
2.5%
Other values (150) 4793
47.9%
ValueCountFrequency (%)
0 469
4.7%
1 969
9.7%
2 854
8.5%
3 661
6.6%
4 600
6.0%
5 433
4.3%
6 377
 
3.8%
7 313
 
3.1%
8 278
 
2.8%
9 253
 
2.5%
ValueCountFrequency (%)
190 1
< 0.1%
188 1
< 0.1%
187 1
< 0.1%
186 1
< 0.1%
184 1
< 0.1%
182 1
< 0.1%
181 1
< 0.1%
175 1
< 0.1%
174 1
< 0.1%
172 1
< 0.1%

Sample

역번호역명년월일요일구분합계01시-02시02시-03시03시-04시04시-05시05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시-01시
10512222동의대2024-02-16금승차5844000112121649375738833634631037432232234452046016711411183563
5074242남양산2024-01-27토승차32310004668917720123730928927326021823724521814675655646173
8929129장전2024-02-07수하차118740002531383088186065465997086286927599201023134067355554257132271
2588202중동2024-01-24수승차7718000573209596834486402404439435439518572658689324248215133354
13254411영산대2024-02-24토승차22570005534011313317520321218715117212718718912266513227111
3992225주례2024-01-13토승차588800009614221937545748849648748339035545949839217613511080446
9180133범어사2024-02-17토승차8506000911014225448258370468881480573270573970542223617111470192
5271304물만골2024-01-01월하차200500002550441291348894961151411561851581661051118978365
765107서대신2024-01-11목하차3994000224802094132162222151982772342572352844241861651391097233
8019113부산역2024-02-16금하차2897900042065351414345318651277143119341665169817832080217125841970122887251526727
역번호역명년월일요일구분합계01시-02시02시-03시03시-04시04시-05시05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시-01시
10221217국제금융센터부산은행2024-02-15목하차5826000257109502198238416617324222022422624232034318913714890655
4861239호포2024-01-13토하차1369000014861958793156141917063949888472926351630
13285412윗반송2024-02-10토하차144600010304948787190111105105109124100110726762563523
9490204동백2024-02-27화승차7204000265131452760487457503412449434412561542644295220179154387
6768412윗반송2024-01-06토승차2277200779631421141801942072301821531441501301128144312183
8400120부전2024-02-04일승차1198200008113119038364772482594611911285148313591132615375242176149471
11956305연산2024-02-13화승차105550046136225436695482504632633680673915848960110847645133621912610
11580240증산2024-02-28수승차4807000470164519457331321259271285280279310295321175148152112486
11597241부산대양산캠퍼스2024-02-07수하차197800001651472521941098911516711410880130113846056493312
8335118범내골2024-02-29목하차111120000711625382273106960756646564854353454368292044434728420718920