Overview

Dataset statistics

Number of variables28
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 memory257.0 B

Variable types

Categorical4
DateTime1
Numeric23

Dataset

Description부산-김해경전철 역사별 / 시간대별 승·하차 이용객에 대한 자료로서 각 역사에 대한 시간대별 승차 및 하차 인원에 대한 정보를 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105181

Alerts

02시 인원 has constant value ""Constant
03시 인원 has constant value ""Constant
01시 인원 is highly skewed (γ1 = 35.35416045)Skewed
00시 인원 has 5291 (52.9%) zerosZeros
01시 인원 has 9981 (99.8%) zerosZeros
04시 인원 has 6903 (69.0%) zerosZeros
05시 인원 has 156 (1.6%) zerosZeros
23시 인원 has 462 (4.6%) zerosZeros

Reproduction

Analysis started2024-03-13 00:13:45.591584
Analysis finished2024-03-13 00:13:45.904468
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5076 
하차
4924 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5076
50.8%
하차 4924
49.2%

Length

2024-03-13T09:13:45.953319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:46.027184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5076
50.8%
하차 4924
49.2%

영업일자
Date

Distinct479
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-23 00:00:00
Maximum2023-12-14 00:00:00
2024-03-13T09:13:46.111801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:13:46.219037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

역사명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지내
 
509
괘법 르네시떼
 
504
김해시청
 
496
덕두
 
491
박물관
 
488
Other values (16)
7512 

Length

Max length8
Median length2
Mean length3.1116
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대사
2nd row지내
3rd row김해대학
4th row장신대
5th row사상

Common Values

ValueCountFrequency (%)
지내 509
 
5.1%
괘법 르네시떼 504
 
5.0%
김해시청 496
 
5.0%
덕두 491
 
4.9%
박물관 488
 
4.9%
수로왕릉 487
 
4.9%
불암 487
 
4.9%
부원 479
 
4.8%
서부산 유통지구 479
 
4.8%
연지공원 477
 
4.8%
Other values (11) 5103
51.0%

Length

2024-03-13T09:13:46.329391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지내 509
 
4.6%
르네시떼 504
 
4.6%
괘법 504
 
4.6%
김해시청 496
 
4.5%
덕두 491
 
4.5%
박물관 488
 
4.4%
수로왕릉 487
 
4.4%
불암 487
 
4.4%
부원 479
 
4.4%
서부산 479
 
4.4%
Other values (13) 6059
55.2%

합계
Real number (ℝ)

Distinct3907
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2048.4382
Minimum69
Maximum10835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:46.433343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile251.95
Q1757.5
median1465.5
Q32377
95-th percentile6907
Maximum10835
Range10766
Interquartile range (IQR)1619.5

Descriptive statistics

Standard deviation2003.3622
Coefficient of variation (CV)0.97799493
Kurtosis3.8794636
Mean2048.4382
Median Absolute Deviation (MAD)831.5
Skewness2.0173451
Sum20484382
Variance4013460
MonotonicityNot monotonic
2024-03-13T09:13:46.538946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
531 15
 
0.1%
523 14
 
0.1%
263 14
 
0.1%
540 13
 
0.1%
281 13
 
0.1%
381 13
 
0.1%
535 13
 
0.1%
1173 12
 
0.1%
545 12
 
0.1%
565 12
 
0.1%
Other values (3897) 9869
98.7%
ValueCountFrequency (%)
69 1
 
< 0.1%
71 1
 
< 0.1%
73 2
< 0.1%
75 2
< 0.1%
76 1
 
< 0.1%
78 2
< 0.1%
81 3
< 0.1%
82 3
< 0.1%
84 1
 
< 0.1%
86 1
 
< 0.1%
ValueCountFrequency (%)
10835 1
< 0.1%
10457 1
< 0.1%
10379 1
< 0.1%
10372 1
< 0.1%
10323 1
< 0.1%
10299 1
< 0.1%
10284 1
< 0.1%
10259 1
< 0.1%
10210 1
< 0.1%
10186 1
< 0.1%

00시 인원
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8341
Minimum0
Maximum179
Zeros5291
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:46.638800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile15
Maximum179
Range179
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.8225224
Coefficient of variation (CV)2.054452
Kurtosis94.197535
Mean2.8341
Median Absolute Deviation (MAD)0
Skewness5.4866504
Sum28341
Variance33.901767
MonotonicityNot monotonic
2024-03-13T09:13:46.751060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 5291
52.9%
1 1462
 
14.6%
2 624
 
6.2%
3 402
 
4.0%
4 293
 
2.9%
5 239
 
2.4%
6 211
 
2.1%
7 170
 
1.7%
8 164
 
1.6%
10 134
 
1.3%
Other values (38) 1010
 
10.1%
ValueCountFrequency (%)
0 5291
52.9%
1 1462
 
14.6%
2 624
 
6.2%
3 402
 
4.0%
4 293
 
2.9%
5 239
 
2.4%
6 211
 
2.1%
7 170
 
1.7%
8 164
 
1.6%
9 130
 
1.3%
ValueCountFrequency (%)
179 1
 
< 0.1%
66 1
 
< 0.1%
54 1
 
< 0.1%
51 1
 
< 0.1%
49 1
 
< 0.1%
48 2
< 0.1%
47 1
 
< 0.1%
44 3
< 0.1%
42 4
< 0.1%
41 1
 
< 0.1%

01시 인원
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0139
Minimum0
Maximum21
Zeros9981
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:46.843529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39130819
Coefficient of variation (CV)28.151669
Kurtosis1441.8399
Mean0.0139
Median Absolute Deviation (MAD)0
Skewness35.35416
Sum139
Variance0.1531221
MonotonicityNot monotonic
2024-03-13T09:13:46.924847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 9981
99.8%
5 2
 
< 0.1%
11 2
 
< 0.1%
2 2
 
< 0.1%
1 2
 
< 0.1%
4 2
 
< 0.1%
10 2
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
16 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 9981
99.8%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
21 1
< 0.1%
16 1
< 0.1%
12 1
< 0.1%
11 2
< 0.1%
10 2
< 0.1%
8 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%
5 2
< 0.1%
4 2
< 0.1%

02시 인원
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-03-13T09:13:47.022714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:47.117904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

03시 인원
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-03-13T09:13:47.203993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:47.273373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

04시 인원
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0952
Minimum0
Maximum50
Zeros6903
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:47.360202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.5876345
Coefficient of variation (CV)2.666874
Kurtosis18.552767
Mean2.0952
Median Absolute Deviation (MAD)0
Skewness4.0167347
Sum20952
Variance31.221659
MonotonicityNot monotonic
2024-03-13T09:13:47.485210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 6903
69.0%
1 977
 
9.8%
2 408
 
4.1%
3 243
 
2.4%
4 194
 
1.9%
5 123
 
1.2%
6 114
 
1.1%
7 110
 
1.1%
11 93
 
0.9%
12 85
 
0.9%
Other values (37) 750
 
7.5%
ValueCountFrequency (%)
0 6903
69.0%
1 977
 
9.8%
2 408
 
4.1%
3 243
 
2.4%
4 194
 
1.9%
5 123
 
1.2%
6 114
 
1.1%
7 110
 
1.1%
8 80
 
0.8%
9 77
 
0.8%
ValueCountFrequency (%)
50 1
 
< 0.1%
46 1
 
< 0.1%
44 1
 
< 0.1%
43 4
 
< 0.1%
42 2
 
< 0.1%
41 7
0.1%
40 10
0.1%
39 3
 
< 0.1%
38 7
0.1%
37 4
 
< 0.1%

05시 인원
Real number (ℝ)

ZEROS 

Distinct279
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4036
Minimum0
Maximum354
Zeros156
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:47.589724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median11
Q327
95-th percentile94
Maximum354
Range354
Interquartile range (IQR)22

Descriptive statistics

Standard deviation47.951367
Coefficient of variation (CV)1.74982
Kurtosis14.669116
Mean27.4036
Median Absolute Deviation (MAD)8
Skewness3.7262201
Sum274036
Variance2299.3336
MonotonicityNot monotonic
2024-03-13T09:13:47.698046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 613
 
6.1%
4 600
 
6.0%
6 575
 
5.8%
3 546
 
5.5%
7 458
 
4.6%
2 418
 
4.2%
8 417
 
4.2%
9 361
 
3.6%
10 328
 
3.3%
11 288
 
2.9%
Other values (269) 5396
54.0%
ValueCountFrequency (%)
0 156
 
1.6%
1 251
2.5%
2 418
4.2%
3 546
5.5%
4 600
6.0%
5 613
6.1%
6 575
5.8%
7 458
4.6%
8 417
4.2%
9 361
3.6%
ValueCountFrequency (%)
354 1
< 0.1%
333 1
< 0.1%
332 1
< 0.1%
331 1
< 0.1%
330 1
< 0.1%
328 1
< 0.1%
327 1
< 0.1%
326 1
< 0.1%
323 1
< 0.1%
316 2
< 0.1%

06시 인원
Real number (ℝ)

Distinct529
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.8013
Minimum0
Maximum716
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:47.854723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q120
median38
Q368
95-th percentile331
Maximum716
Range716
Interquartile range (IQR)48

Descriptive statistics

Standard deviation103.87137
Coefficient of variation (CV)1.5097297
Kurtosis12.727663
Mean68.8013
Median Absolute Deviation (MAD)22
Skewness3.4832271
Sum688013
Variance10789.261
MonotonicityNot monotonic
2024-03-13T09:13:48.014564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 177
 
1.8%
11 174
 
1.7%
10 170
 
1.7%
28 166
 
1.7%
12 164
 
1.6%
15 162
 
1.6%
16 160
 
1.6%
19 158
 
1.6%
18 157
 
1.6%
13 154
 
1.5%
Other values (519) 8358
83.6%
ValueCountFrequency (%)
0 60
0.6%
1 40
 
0.4%
2 72
0.7%
3 69
0.7%
4 92
0.9%
5 98
1.0%
6 106
1.1%
7 103
1.0%
8 128
1.3%
9 144
1.4%
ValueCountFrequency (%)
716 1
< 0.1%
703 1
< 0.1%
699 1
< 0.1%
695 1
< 0.1%
686 1
< 0.1%
682 1
< 0.1%
679 1
< 0.1%
668 1
< 0.1%
665 1
< 0.1%
664 1
< 0.1%

07시 인원
Real number (ℝ)

Distinct695
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.3004
Minimum0
Maximum999
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:48.169146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q134
median85
Q3176
95-th percentile456
Maximum999
Range999
Interquartile range (IQR)142

Descriptive statistics

Standard deviation173.84136
Coefficient of variation (CV)1.2216505
Kurtosis7.6214824
Mean142.3004
Median Absolute Deviation (MAD)57
Skewness2.5841641
Sum1423004
Variance30220.818
MonotonicityNot monotonic
2024-03-13T09:13:48.293996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 101
 
1.0%
30 96
 
1.0%
32 95
 
0.9%
23 89
 
0.9%
12 89
 
0.9%
28 88
 
0.9%
16 85
 
0.9%
29 85
 
0.9%
24 85
 
0.9%
27 84
 
0.8%
Other values (685) 9103
91.0%
ValueCountFrequency (%)
0 46
0.5%
1 20
 
0.2%
2 26
 
0.3%
3 35
0.4%
4 38
0.4%
5 49
0.5%
6 64
0.6%
7 71
0.7%
8 78
0.8%
9 69
0.7%
ValueCountFrequency (%)
999 2
< 0.1%
988 1
< 0.1%
981 1
< 0.1%
980 1
< 0.1%
976 1
< 0.1%
973 1
< 0.1%
971 1
< 0.1%
965 1
< 0.1%
964 1
< 0.1%
963 1
< 0.1%

08시 인원
Real number (ℝ)

Distinct878
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.9049
Minimum0
Maximum1075
Zeros48
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:48.408837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q144.75
median116
Q3244
95-th percentile650
Maximum1075
Range1075
Interquartile range (IQR)199.25

Descriptive statistics

Standard deviation200.47069
Coefficient of variation (CV)1.1143148
Kurtosis4.0880206
Mean179.9049
Median Absolute Deviation (MAD)83
Skewness2.017566
Sum1799049
Variance40188.497
MonotonicityNot monotonic
2024-03-13T09:13:48.529252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 88
 
0.9%
23 82
 
0.8%
8 81
 
0.8%
22 76
 
0.8%
27 75
 
0.8%
19 74
 
0.7%
28 73
 
0.7%
9 72
 
0.7%
24 70
 
0.7%
25 68
 
0.7%
Other values (868) 9241
92.4%
ValueCountFrequency (%)
0 48
0.5%
1 12
 
0.1%
2 20
 
0.2%
3 37
0.4%
4 51
0.5%
5 45
0.4%
6 52
0.5%
7 67
0.7%
8 81
0.8%
9 72
0.7%
ValueCountFrequency (%)
1075 1
< 0.1%
1055 1
< 0.1%
1049 1
< 0.1%
1048 1
< 0.1%
1044 1
< 0.1%
1041 1
< 0.1%
1031 1
< 0.1%
1025 1
< 0.1%
1024 1
< 0.1%
1020 1
< 0.1%

09시 인원
Real number (ℝ)

Distinct575
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7551
Minimum0
Maximum792
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:48.650555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q127
median66
Q3125
95-th percentile359
Maximum792
Range792
Interquartile range (IQR)98

Descriptive statistics

Standard deviation114.81515
Coefficient of variation (CV)1.1173669
Kurtosis5.3941392
Mean102.7551
Median Absolute Deviation (MAD)43
Skewness2.1810985
Sum1027551
Variance13182.519
MonotonicityNot monotonic
2024-03-13T09:13:48.776307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 132
 
1.3%
16 120
 
1.2%
27 116
 
1.2%
15 115
 
1.1%
17 115
 
1.1%
13 112
 
1.1%
26 111
 
1.1%
29 111
 
1.1%
14 110
 
1.1%
18 110
 
1.1%
Other values (565) 8848
88.5%
ValueCountFrequency (%)
0 37
 
0.4%
1 17
 
0.2%
2 30
 
0.3%
3 59
0.6%
4 53
0.5%
5 60
0.6%
6 82
0.8%
7 81
0.8%
8 98
1.0%
9 84
0.8%
ValueCountFrequency (%)
792 1
< 0.1%
784 1
< 0.1%
777 2
< 0.1%
755 1
< 0.1%
746 1
< 0.1%
734 1
< 0.1%
729 1
< 0.1%
727 1
< 0.1%
723 1
< 0.1%
722 1
< 0.1%

10시 인원
Real number (ℝ)

Distinct543
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.2778
Minimum0
Maximum655
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:49.136343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q124
median59
Q3116
95-th percentile325
Maximum655
Range655
Interquartile range (IQR)92

Descriptive statistics

Standard deviation105.28047
Coefficient of variation (CV)1.1167047
Kurtosis4.7204885
Mean94.2778
Median Absolute Deviation (MAD)40
Skewness2.0952392
Sum942778
Variance11083.976
MonotonicityNot monotonic
2024-03-13T09:13:49.289014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 149
 
1.5%
15 149
 
1.5%
10 148
 
1.5%
17 139
 
1.4%
12 138
 
1.4%
13 134
 
1.3%
8 123
 
1.2%
20 120
 
1.2%
18 115
 
1.1%
16 115
 
1.1%
Other values (533) 8670
86.7%
ValueCountFrequency (%)
0 22
 
0.2%
1 11
 
0.1%
2 33
 
0.3%
3 43
 
0.4%
4 57
0.6%
5 88
0.9%
6 94
0.9%
7 102
1.0%
8 123
1.2%
9 114
1.1%
ValueCountFrequency (%)
655 2
< 0.1%
651 1
< 0.1%
644 1
< 0.1%
641 1
< 0.1%
638 1
< 0.1%
634 1
< 0.1%
632 1
< 0.1%
625 1
< 0.1%
619 1
< 0.1%
618 1
< 0.1%

11시 인원
Real number (ℝ)

Distinct547
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.2946
Minimum0
Maximum748
Zeros21
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:49.455031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q126
median62
Q3120
95-th percentile343
Maximum748
Range748
Interquartile range (IQR)94

Descriptive statistics

Standard deviation106.25263
Coefficient of variation (CV)1.0920712
Kurtosis4.3281219
Mean97.2946
Median Absolute Deviation (MAD)43
Skewness2.0285715
Sum972946
Variance11289.622
MonotonicityNot monotonic
2024-03-13T09:13:49.574098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 166
 
1.7%
12 157
 
1.6%
13 154
 
1.5%
7 148
 
1.5%
8 148
 
1.5%
11 145
 
1.5%
10 145
 
1.5%
14 140
 
1.4%
15 124
 
1.2%
16 122
 
1.2%
Other values (537) 8551
85.5%
ValueCountFrequency (%)
0 21
 
0.2%
1 5
 
0.1%
2 11
 
0.1%
3 27
 
0.3%
4 45
 
0.4%
5 74
0.7%
6 110
1.1%
7 148
1.5%
8 148
1.5%
9 166
1.7%
ValueCountFrequency (%)
748 1
< 0.1%
711 1
< 0.1%
680 1
< 0.1%
678 1
< 0.1%
669 2
< 0.1%
660 1
< 0.1%
649 1
< 0.1%
648 1
< 0.1%
647 1
< 0.1%
634 1
< 0.1%

12시 인원
Real number (ℝ)

Distinct598
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.9756
Minimum0
Maximum763
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:49.696429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q130
median71
Q3129
95-th percentile398
Maximum763
Range763
Interquartile range (IQR)99

Descriptive statistics

Standard deviation120.95151
Coefficient of variation (CV)1.0998031
Kurtosis3.663816
Mean109.9756
Median Absolute Deviation (MAD)47
Skewness1.9608986
Sum1099756
Variance14629.267
MonotonicityNot monotonic
2024-03-13T09:13:49.818676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 142
 
1.4%
12 142
 
1.4%
13 138
 
1.4%
11 132
 
1.3%
10 130
 
1.3%
15 123
 
1.2%
16 122
 
1.2%
9 121
 
1.2%
17 118
 
1.2%
18 114
 
1.1%
Other values (588) 8718
87.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 6
 
0.1%
2 13
 
0.1%
3 26
 
0.3%
4 52
0.5%
5 54
0.5%
6 65
0.7%
7 112
1.1%
8 110
1.1%
9 121
1.2%
ValueCountFrequency (%)
763 1
< 0.1%
746 1
< 0.1%
745 1
< 0.1%
725 1
< 0.1%
712 1
< 0.1%
692 1
< 0.1%
691 1
< 0.1%
689 1
< 0.1%
674 1
< 0.1%
671 2
< 0.1%

13시 인원
Real number (ℝ)

Distinct621
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.7477
Minimum0
Maximum844
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:49.934727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q131
median70
Q3132
95-th percentile390
Maximum844
Range844
Interquartile range (IQR)101

Descriptive statistics

Standard deviation123.87355
Coefficient of variation (CV)1.108511
Kurtosis4.4918893
Mean111.7477
Median Absolute Deviation (MAD)48
Skewness2.0673574
Sum1117477
Variance15344.657
MonotonicityNot monotonic
2024-03-13T09:13:50.048083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 159
 
1.6%
12 157
 
1.6%
14 149
 
1.5%
10 141
 
1.4%
11 139
 
1.4%
15 137
 
1.4%
16 135
 
1.4%
9 125
 
1.2%
8 116
 
1.2%
18 105
 
1.1%
Other values (611) 8637
86.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 6
 
0.1%
2 9
 
0.1%
3 17
 
0.2%
4 48
 
0.5%
5 68
0.7%
6 63
0.6%
7 96
1.0%
8 116
1.2%
9 125
1.2%
ValueCountFrequency (%)
844 1
< 0.1%
843 1
< 0.1%
815 1
< 0.1%
811 1
< 0.1%
793 1
< 0.1%
789 1
< 0.1%
787 1
< 0.1%
767 1
< 0.1%
758 1
< 0.1%
754 1
< 0.1%

14시 인원
Real number (ℝ)

Distinct581
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.4828
Minimum0
Maximum769
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:50.156697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q130
median72
Q3128
95-th percentile376
Maximum769
Range769
Interquartile range (IQR)98

Descriptive statistics

Standard deviation115.18378
Coefficient of variation (CV)1.0716484
Kurtosis4.4386911
Mean107.4828
Median Absolute Deviation (MAD)48
Skewness2.0382402
Sum1074828
Variance13267.302
MonotonicityNot monotonic
2024-03-13T09:13:50.285436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 158
 
1.6%
10 147
 
1.5%
8 142
 
1.4%
12 140
 
1.4%
9 137
 
1.4%
14 136
 
1.4%
16 134
 
1.3%
15 127
 
1.3%
13 114
 
1.1%
6 103
 
1.0%
Other values (571) 8662
86.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 8
 
0.1%
2 10
 
0.1%
3 29
 
0.3%
4 43
 
0.4%
5 52
 
0.5%
6 103
1.0%
7 88
0.9%
8 142
1.4%
9 137
1.4%
ValueCountFrequency (%)
769 1
< 0.1%
767 1
< 0.1%
762 1
< 0.1%
726 1
< 0.1%
720 1
< 0.1%
711 1
< 0.1%
708 1
< 0.1%
707 1
< 0.1%
694 1
< 0.1%
692 1
< 0.1%

15시 인원
Real number (ℝ)

Distinct617
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.0746
Minimum1
Maximum825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:50.410684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q135
median84
Q3152
95-th percentile400.05
Maximum825
Range824
Interquartile range (IQR)117

Descriptive statistics

Standard deviation122.78861
Coefficient of variation (CV)1.0141567
Kurtosis3.6191545
Mean121.0746
Median Absolute Deviation (MAD)56
Skewness1.8800652
Sum1210746
Variance15077.043
MonotonicityNot monotonic
2024-03-13T09:13:50.517679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 125
 
1.2%
19 115
 
1.1%
15 115
 
1.1%
12 114
 
1.1%
16 113
 
1.1%
13 109
 
1.1%
17 108
 
1.1%
14 106
 
1.1%
18 105
 
1.1%
20 96
 
1.0%
Other values (607) 8894
88.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 5
 
0.1%
3 11
 
0.1%
4 20
 
0.2%
5 23
 
0.2%
6 34
 
0.3%
7 76
0.8%
8 60
0.6%
9 91
0.9%
10 88
0.9%
ValueCountFrequency (%)
825 1
< 0.1%
815 1
< 0.1%
767 1
< 0.1%
711 1
< 0.1%
710 1
< 0.1%
696 1
< 0.1%
692 1
< 0.1%
687 1
< 0.1%
675 1
< 0.1%
672 1
< 0.1%

16시 인원
Real number (ℝ)

Distinct667
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.9117
Minimum1
Maximum922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:50.616862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q150
median104
Q3187
95-th percentile470.05
Maximum922
Range921
Interquartile range (IQR)137

Descriptive statistics

Standard deviation135.89522
Coefficient of variation (CV)0.94429585
Kurtosis3.351756
Mean143.9117
Median Absolute Deviation (MAD)65
Skewness1.7993118
Sum1439117
Variance18467.511
MonotonicityNot monotonic
2024-03-13T09:13:50.726593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 95
 
0.9%
16 83
 
0.8%
18 71
 
0.7%
17 70
 
0.7%
14 69
 
0.7%
15 68
 
0.7%
21 67
 
0.7%
51 65
 
0.7%
73 65
 
0.7%
25 65
 
0.7%
Other values (657) 9282
92.8%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 8
 
0.1%
3 21
 
0.2%
4 20
 
0.2%
5 36
0.4%
6 35
0.4%
7 42
0.4%
8 56
0.6%
9 62
0.6%
10 39
0.4%
ValueCountFrequency (%)
922 1
< 0.1%
904 1
< 0.1%
899 1
< 0.1%
871 1
< 0.1%
815 1
< 0.1%
788 1
< 0.1%
787 1
< 0.1%
769 2
< 0.1%
764 1
< 0.1%
760 1
< 0.1%

17시 인원
Real number (ℝ)

Distinct921
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.7211
Minimum2
Maximum1429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:50.833151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile16
Q171
median142
Q3236
95-th percentile595
Maximum1429
Range1427
Interquartile range (IQR)165

Descriptive statistics

Standard deviation211.0972
Coefficient of variation (CV)1.0676513
Kurtosis7.9937331
Mean197.7211
Median Absolute Deviation (MAD)80
Skewness2.5880065
Sum1977211
Variance44562.026
MonotonicityNot monotonic
2024-03-13T09:13:50.958364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 60
 
0.6%
24 53
 
0.5%
78 52
 
0.5%
29 52
 
0.5%
18 51
 
0.5%
21 50
 
0.5%
87 50
 
0.5%
19 50
 
0.5%
79 49
 
0.5%
17 48
 
0.5%
Other values (911) 9485
94.8%
ValueCountFrequency (%)
2 7
 
0.1%
3 16
 
0.2%
4 21
0.2%
5 27
0.3%
6 35
0.4%
7 37
0.4%
8 42
0.4%
9 38
0.4%
10 40
0.4%
11 43
0.4%
ValueCountFrequency (%)
1429 1
< 0.1%
1420 1
< 0.1%
1367 1
< 0.1%
1360 1
< 0.1%
1356 1
< 0.1%
1348 1
< 0.1%
1343 1
< 0.1%
1329 1
< 0.1%
1328 1
< 0.1%
1309 2
< 0.1%

18시 인원
Real number (ℝ)

Distinct963
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.9603
Minimum1
Maximum1508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:51.065523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q158
median140
Q3232
95-th percentile632
Maximum1508
Range1507
Interquartile range (IQR)174

Descriptive statistics

Standard deviation221.16174
Coefficient of variation (CV)1.1286048
Kurtosis8.5345151
Mean195.9603
Median Absolute Deviation (MAD)85
Skewness2.6855618
Sum1959603
Variance48912.517
MonotonicityNot monotonic
2024-03-13T09:13:51.180372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 67
 
0.7%
8 67
 
0.7%
47 64
 
0.6%
52 62
 
0.6%
48 58
 
0.6%
45 56
 
0.6%
46 55
 
0.5%
44 55
 
0.5%
42 53
 
0.5%
61 53
 
0.5%
Other values (953) 9410
94.1%
ValueCountFrequency (%)
1 7
 
0.1%
2 9
 
0.1%
3 29
0.3%
4 51
0.5%
5 51
0.5%
6 39
0.4%
7 48
0.5%
8 67
0.7%
9 47
0.5%
10 42
0.4%
ValueCountFrequency (%)
1508 1
< 0.1%
1482 1
< 0.1%
1443 1
< 0.1%
1424 1
< 0.1%
1414 1
< 0.1%
1403 1
< 0.1%
1371 1
< 0.1%
1370 1
< 0.1%
1361 1
< 0.1%
1356 1
< 0.1%

19시 인원
Real number (ℝ)

Distinct528
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.174
Minimum0
Maximum660
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:51.290821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q131
median73
Q3134
95-th percentile353
Maximum660
Range660
Interquartile range (IQR)103

Descriptive statistics

Standard deviation105.33962
Coefficient of variation (CV)1.0015747
Kurtosis3.2526144
Mean105.174
Median Absolute Deviation (MAD)47
Skewness1.8076703
Sum1051740
Variance11096.435
MonotonicityNot monotonic
2024-03-13T09:13:51.405175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 98
 
1.0%
17 97
 
1.0%
9 97
 
1.0%
10 95
 
0.9%
29 94
 
0.9%
16 93
 
0.9%
25 92
 
0.9%
6 91
 
0.9%
22 91
 
0.9%
15 89
 
0.9%
Other values (518) 9063
90.6%
ValueCountFrequency (%)
0 8
 
0.1%
1 20
 
0.2%
2 59
0.6%
3 53
0.5%
4 73
0.7%
5 72
0.7%
6 91
0.9%
7 77
0.8%
8 83
0.8%
9 97
1.0%
ValueCountFrequency (%)
660 1
< 0.1%
648 1
< 0.1%
636 2
< 0.1%
630 1
< 0.1%
613 1
< 0.1%
597 1
< 0.1%
590 1
< 0.1%
587 1
< 0.1%
579 1
< 0.1%
578 1
< 0.1%

20시 인원
Real number (ℝ)

Distinct470
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.3618
Minimum0
Maximum617
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:51.537997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q123
median58
Q3102
95-th percentile310
Maximum617
Range617
Interquartile range (IQR)79

Descriptive statistics

Standard deviation91.930943
Coefficient of variation (CV)1.0769565
Kurtosis3.8088131
Mean85.3618
Median Absolute Deviation (MAD)38
Skewness1.9747589
Sum853618
Variance8451.2982
MonotonicityNot monotonic
2024-03-13T09:13:51.678678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 162
 
1.6%
10 157
 
1.6%
11 154
 
1.5%
8 153
 
1.5%
9 152
 
1.5%
6 148
 
1.5%
12 128
 
1.3%
5 122
 
1.2%
13 119
 
1.2%
4 119
 
1.2%
Other values (460) 8586
85.9%
ValueCountFrequency (%)
0 11
 
0.1%
1 51
 
0.5%
2 67
0.7%
3 103
1.0%
4 119
1.2%
5 122
1.2%
6 148
1.5%
7 162
1.6%
8 153
1.5%
9 152
1.5%
ValueCountFrequency (%)
617 1
< 0.1%
589 1
< 0.1%
586 1
< 0.1%
582 1
< 0.1%
558 1
< 0.1%
554 1
< 0.1%
541 1
< 0.1%
526 1
< 0.1%
520 1
< 0.1%
511 1
< 0.1%

21시 인원
Real number (ℝ)

Distinct560
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.3
Minimum0
Maximum760
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:51.799592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q116
median46
Q383
95-th percentile296.05
Maximum760
Range760
Interquartile range (IQR)67

Descriptive statistics

Standard deviation103.62611
Coefficient of variation (CV)1.3581404
Kurtosis9.0331797
Mean76.3
Median Absolute Deviation (MAD)32
Skewness2.843158
Sum763000
Variance10738.371
MonotonicityNot monotonic
2024-03-13T09:13:52.133872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 224
 
2.2%
5 224
 
2.2%
8 215
 
2.1%
4 199
 
2.0%
7 196
 
2.0%
9 193
 
1.9%
3 193
 
1.9%
2 151
 
1.5%
10 148
 
1.5%
13 133
 
1.3%
Other values (550) 8124
81.2%
ValueCountFrequency (%)
0 34
 
0.3%
1 87
 
0.9%
2 151
1.5%
3 193
1.9%
4 199
2.0%
5 224
2.2%
6 224
2.2%
7 196
2.0%
8 215
2.1%
9 193
1.9%
ValueCountFrequency (%)
760 1
< 0.1%
753 1
< 0.1%
739 1
< 0.1%
735 1
< 0.1%
696 1
< 0.1%
695 1
< 0.1%
692 1
< 0.1%
686 1
< 0.1%
674 1
< 0.1%
670 1
< 0.1%

22시 인원
Real number (ℝ)

Distinct328
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.8695
Minimum0
Maximum480
Zeros98
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:52.279446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median33
Q366
95-th percentile180
Maximum480
Range480
Interquartile range (IQR)57

Descriptive statistics

Standard deviation58.066684
Coefficient of variation (CV)1.1414833
Kurtosis5.1141621
Mean50.8695
Median Absolute Deviation (MAD)26
Skewness2.060558
Sum508695
Variance3371.7398
MonotonicityNot monotonic
2024-03-13T09:13:52.414379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 345
 
3.5%
3 338
 
3.4%
6 332
 
3.3%
4 285
 
2.9%
2 270
 
2.7%
7 254
 
2.5%
8 213
 
2.1%
9 212
 
2.1%
10 177
 
1.8%
1 175
 
1.8%
Other values (318) 7399
74.0%
ValueCountFrequency (%)
0 98
 
1.0%
1 175
1.8%
2 270
2.7%
3 338
3.4%
4 285
2.9%
5 345
3.5%
6 332
3.3%
7 254
2.5%
8 213
2.1%
9 212
2.1%
ValueCountFrequency (%)
480 1
< 0.1%
467 1
< 0.1%
451 1
< 0.1%
427 1
< 0.1%
420 1
< 0.1%
397 1
< 0.1%
388 1
< 0.1%
374 1
< 0.1%
354 1
< 0.1%
352 1
< 0.1%

23시 인원
Real number (ℝ)

ZEROS 

Distinct205
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.1782
Minimum0
Maximum350
Zeros462
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:52.532451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median13
Q335
95-th percentile87
Maximum350
Range350
Interquartile range (IQR)31

Descriptive statistics

Standard deviation31.555729
Coefficient of variation (CV)1.2532957
Kurtosis9.2860736
Mean25.1782
Median Absolute Deviation (MAD)11
Skewness2.5369431
Sum251782
Variance995.76402
MonotonicityNot monotonic
2024-03-13T09:13:52.654203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 592
 
5.9%
1 562
 
5.6%
3 525
 
5.2%
5 470
 
4.7%
0 462
 
4.6%
4 452
 
4.5%
6 378
 
3.8%
7 333
 
3.3%
8 262
 
2.6%
9 255
 
2.5%
Other values (195) 5709
57.1%
ValueCountFrequency (%)
0 462
4.6%
1 562
5.6%
2 592
5.9%
3 525
5.2%
4 452
4.5%
5 470
4.7%
6 378
3.8%
7 333
3.3%
8 262
2.6%
9 255
2.5%
ValueCountFrequency (%)
350 1
< 0.1%
288 1
< 0.1%
287 1
< 0.1%
270 1
< 0.1%
261 1
< 0.1%
253 1
< 0.1%
223 1
< 0.1%
218 1
< 0.1%
216 1
< 0.1%
215 1
< 0.1%

Sample

분류영업일자역사명합계00시 인원01시 인원02시 인원03시 인원04시 인원05시 인원06시 인원07시 인원08시 인원09시 인원10시 인원11시 인원12시 인원13시 인원14시 인원15시 인원16시 인원17시 인원18시 인원19시 인원20시 인원21시 인원22시 인원23시 인원
11180하차2022-10-15대사3761000092555422413172322202313211791015116
6394승차2023-06-23지내12320000132441211207947605253645691146128662923137
2531승차2022-12-21김해대학94100000621174062112222314458037213268441251
18331하차2023-09-20장신대222912000011305815079547485115133188202299243193107827143
19992하차2023-12-09사상9382220000258224737655664468065481166068776099257541239047523995
16251하차2023-06-13연지공원13735000031532883833434871727313113421212779577042
17735하차2023-08-23김해대학97600000141124511842011913136111821501781026
1213승차2022-10-19수로왕릉274710001478232933020113413411912611813120518720111490915452
6291승차2023-06-18인제대1423100014231514895639410513517612211892865549281714
14940하차2023-04-12불암561100001451865226231822272527353843281218114
분류영업일자역사명합계00시 인원01시 인원02시 인원03시 인원04시 인원05시 인원06시 인원07시 인원08시 인원09시 인원10시 인원11시 인원12시 인원13시 인원14시 인원15시 인원16시 인원17시 인원18시 인원19시 인원20시 인원21시 인원22시 인원23시 인원
12818하차2023-01-01대사125100002833875910913136561871
11030하차2022-10-08등구1620000041323158913211891173810242
4631승차2023-03-31김해대학10750000071437541018214526234212539015368241440
15024하차2023-04-16불암37000000825211730273020181617172318232116158
14200하차2023-03-08덕두127310000547216289704331383437324864604282803321
5193승차2023-04-27대저70592000174444900872381293292271327258276394446631311241246259140
246승차2022-09-03봉황17360000191554546374108119108126111167170181134127713311
3925승차2023-02-25장신대2110000011394172991311821571881651501481671381296365666039
9352승차2023-11-11평강2430000291098109151520192431251469323
12071하차2022-11-26박물관151513000061922489663761311241321161561281086553615642