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

Categorical5
DateTime1
Numeric22

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
01시 인원 is highly imbalanced (99.7%)Imbalance
03시 인원 is highly imbalanced (99.6%)Imbalance
00시 인원 has 5812 (58.1%) zerosZeros
04시 인원 has 7485 (74.9%) zerosZeros
05시 인원 has 322 (3.2%) zerosZeros
23시 인원 has 614 (6.1%) zerosZeros

Reproduction

Analysis started2024-03-13 00:13:37.478896
Analysis finished2024-03-13 00:13:37.773438
Duration0.29 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
5048 
하차
4952 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5048
50.5%
하차 4952
49.5%

Length

2024-03-13T09:13:37.828121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:37.907069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5048
50.5%
하차 4952
49.5%

영업일자
Date

Distinct599
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2022-08-22 00:00:00
2024-03-13T09:13:37.995836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:13:38.108825image/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
김해시청
 
511
괘법 르네시떼
 
509
부원
 
499
평강
 
487
수로왕릉
 
486
Other values (16)
7508 

Length

Max length8
Median length2
Mean length3.1191
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row괘법 르네시떼
2nd row봉황
3rd row대저
4th row불암
5th row장신대

Common Values

ValueCountFrequency (%)
김해시청 511
 
5.1%
괘법 르네시떼 509
 
5.1%
부원 499
 
5.0%
평강 487
 
4.9%
수로왕릉 486
 
4.9%
대사 485
 
4.9%
등구 483
 
4.8%
서부산 유통지구 483
 
4.8%
박물관 483
 
4.8%
연지공원 481
 
4.8%
Other values (11) 5093
50.9%

Length

2024-03-13T09:13:38.210560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김해시청 511
 
4.6%
괘법 509
 
4.6%
르네시떼 509
 
4.6%
부원 499
 
4.5%
평강 487
 
4.4%
수로왕릉 486
 
4.4%
대사 485
 
4.4%
등구 483
 
4.4%
서부산 483
 
4.4%
유통지구 483
 
4.4%
Other values (13) 6057
55.1%

합계
Real number (ℝ)

Distinct3646
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1800.8779
Minimum47
Maximum10939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:38.539358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile224
Q1600
median1212
Q32065
95-th percentile6266.05
Maximum10939
Range10892
Interquartile range (IQR)1465

Descriptive statistics

Standard deviation1836.8756
Coefficient of variation (CV)1.019989
Kurtosis3.9192068
Mean1800.8779
Median Absolute Deviation (MAD)706
Skewness2.0459652
Sum18008779
Variance3374111.9
MonotonicityNot monotonic
2024-03-13T09:13:38.655591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1006 16
 
0.2%
478 15
 
0.1%
265 15
 
0.1%
932 14
 
0.1%
940 14
 
0.1%
242 13
 
0.1%
961 12
 
0.1%
477 12
 
0.1%
997 12
 
0.1%
1072 12
 
0.1%
Other values (3636) 9865
98.7%
ValueCountFrequency (%)
47 1
 
< 0.1%
51 1
 
< 0.1%
53 1
 
< 0.1%
54 2
< 0.1%
64 1
 
< 0.1%
66 1
 
< 0.1%
67 1
 
< 0.1%
68 1
 
< 0.1%
69 2
< 0.1%
70 3
< 0.1%
ValueCountFrequency (%)
10939 1
< 0.1%
10558 1
< 0.1%
10478 1
< 0.1%
10426 1
< 0.1%
10331 1
< 0.1%
10075 1
< 0.1%
10068 1
< 0.1%
10056 1
< 0.1%
9943 1
< 0.1%
9829 1
< 0.1%

00시 인원
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0207
Minimum0
Maximum47
Zeros5812
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:38.767137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum47
Range47
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.2728559
Coefficient of variation (CV)2.1145424
Kurtosis14.555677
Mean2.0207
Median Absolute Deviation (MAD)0
Skewness3.3843625
Sum20207
Variance18.257297
MonotonicityNot monotonic
2024-03-13T09:13:38.868274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 5812
58.1%
1 1437
 
14.4%
2 637
 
6.4%
3 437
 
4.4%
4 275
 
2.8%
5 220
 
2.2%
6 168
 
1.7%
7 135
 
1.4%
8 124
 
1.2%
9 97
 
1.0%
Other values (29) 658
 
6.6%
ValueCountFrequency (%)
0 5812
58.1%
1 1437
 
14.4%
2 637
 
6.4%
3 437
 
4.4%
4 275
 
2.8%
5 220
 
2.2%
6 168
 
1.7%
7 135
 
1.4%
8 124
 
1.2%
9 97
 
1.0%
ValueCountFrequency (%)
47 1
< 0.1%
41 2
< 0.1%
39 2
< 0.1%
37 1
< 0.1%
36 2
< 0.1%
34 2
< 0.1%
33 2
< 0.1%
31 1
< 0.1%
30 2
< 0.1%
29 2
< 0.1%

01시 인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9998 
1
 
2

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 9998
> 99.9%
1 2
 
< 0.1%

Length

2024-03-13T09:13:38.970781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:39.048925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
1 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

2024-03-13T09:13:39.126165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:39.199910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

03시 인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9997 
1
 
3

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 9997
> 99.9%
1 3
 
< 0.1%

Length

2024-03-13T09:13:39.298356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:39.416746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9997
> 99.9%
1 3
 
< 0.1%

04시 인원
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1009
Minimum0
Maximum26
Zeros7485
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:39.504162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9617219
Coefficient of variation (CV)2.6902733
Kurtosis15.977918
Mean1.1009
Median Absolute Deviation (MAD)0
Skewness3.7525551
Sum11009
Variance8.7717964
MonotonicityNot monotonic
2024-03-13T09:13:39.610565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7485
74.9%
1 938
 
9.4%
2 387
 
3.9%
3 199
 
2.0%
4 173
 
1.7%
6 120
 
1.2%
5 103
 
1.0%
7 84
 
0.8%
8 75
 
0.8%
10 69
 
0.7%
Other values (17) 367
 
3.7%
ValueCountFrequency (%)
0 7485
74.9%
1 938
 
9.4%
2 387
 
3.9%
3 199
 
2.0%
4 173
 
1.7%
5 103
 
1.0%
6 120
 
1.2%
7 84
 
0.8%
8 75
 
0.8%
9 61
 
0.6%
ValueCountFrequency (%)
26 3
 
< 0.1%
25 2
 
< 0.1%
24 3
 
< 0.1%
23 3
 
< 0.1%
22 2
 
< 0.1%
21 7
 
0.1%
20 6
 
0.1%
19 6
 
0.1%
18 16
0.2%
17 19
0.2%

05시 인원
Real number (ℝ)

ZEROS 

Distinct204
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.4868
Minimum0
Maximum229
Zeros322
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:39.725673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q320
95-th percentile62
Maximum229
Range229
Interquartile range (IQR)16

Descriptive statistics

Standard deviation26.927947
Coefficient of variation (CV)1.5399014
Kurtosis18.478491
Mean17.4868
Median Absolute Deviation (MAD)6
Skewness3.919053
Sum174868
Variance725.11434
MonotonicityNot monotonic
2024-03-13T09:13:39.835366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 691
 
6.9%
3 681
 
6.8%
5 624
 
6.2%
2 617
 
6.2%
6 552
 
5.5%
1 514
 
5.1%
7 494
 
4.9%
8 410
 
4.1%
9 345
 
3.5%
0 322
 
3.2%
Other values (194) 4750
47.5%
ValueCountFrequency (%)
0 322
3.2%
1 514
5.1%
2 617
6.2%
3 681
6.8%
4 691
6.9%
5 624
6.2%
6 552
5.5%
7 494
4.9%
8 410
4.1%
9 345
3.5%
ValueCountFrequency (%)
229 1
< 0.1%
227 1
< 0.1%
225 1
< 0.1%
224 1
< 0.1%
223 1
< 0.1%
216 1
< 0.1%
215 1
< 0.1%
213 1
< 0.1%
212 1
< 0.1%
211 1
< 0.1%

06시 인원
Real number (ℝ)

Distinct416
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.3655
Minimum0
Maximum566
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:39.937123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median29
Q357
95-th percentile181.05
Maximum566
Range566
Interquartile range (IQR)43

Descriptive statistics

Standard deviation71.075563
Coefficient of variation (CV)1.4111954
Kurtosis15.714371
Mean50.3655
Median Absolute Deviation (MAD)18
Skewness3.6632654
Sum503655
Variance5051.7357
MonotonicityNot monotonic
2024-03-13T09:13:40.044969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 254
 
2.5%
13 243
 
2.4%
9 229
 
2.3%
12 218
 
2.2%
8 215
 
2.1%
11 213
 
2.1%
16 204
 
2.0%
14 202
 
2.0%
17 197
 
2.0%
7 189
 
1.9%
Other values (406) 7836
78.4%
ValueCountFrequency (%)
0 32
 
0.3%
1 75
 
0.8%
2 119
1.2%
3 142
1.4%
4 129
1.3%
5 159
1.6%
6 180
1.8%
7 189
1.9%
8 215
2.1%
9 229
2.3%
ValueCountFrequency (%)
566 1
< 0.1%
560 1
< 0.1%
550 1
< 0.1%
538 1
< 0.1%
537 1
< 0.1%
536 1
< 0.1%
533 1
< 0.1%
528 2
< 0.1%
522 1
< 0.1%
519 1
< 0.1%

07시 인원
Real number (ℝ)

Distinct650
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.753
Minimum0
Maximum933
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:40.158690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q126
median69
Q3138
95-th percentile384
Maximum933
Range933
Interquartile range (IQR)112

Descriptive statistics

Standard deviation149.00788
Coefficient of variation (CV)1.2872917
Kurtosis8.9959865
Mean115.753
Median Absolute Deviation (MAD)47
Skewness2.8043135
Sum1157530
Variance22203.347
MonotonicityNot monotonic
2024-03-13T09:13:40.274638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 142
 
1.4%
10 129
 
1.3%
29 128
 
1.3%
9 126
 
1.3%
11 126
 
1.3%
12 118
 
1.2%
14 116
 
1.2%
27 116
 
1.2%
25 113
 
1.1%
22 113
 
1.1%
Other values (640) 8773
87.7%
ValueCountFrequency (%)
0 17
 
0.2%
1 25
 
0.2%
2 53
0.5%
3 69
0.7%
4 57
0.6%
5 61
0.6%
6 85
0.9%
7 98
1.0%
8 113
1.1%
9 126
1.3%
ValueCountFrequency (%)
933 1
< 0.1%
914 1
< 0.1%
893 1
< 0.1%
890 1
< 0.1%
881 1
< 0.1%
879 1
< 0.1%
875 1
< 0.1%
870 1
< 0.1%
863 2
< 0.1%
861 1
< 0.1%

08시 인원
Real number (ℝ)

Distinct827
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.3778
Minimum0
Maximum1052
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:40.391271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q137
median100
Q3204.25
95-th percentile575.1
Maximum1052
Range1052
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation181.38683
Coefficient of variation (CV)1.1452794
Kurtosis4.9650847
Mean158.3778
Median Absolute Deviation (MAD)72
Skewness2.1700364
Sum1583778
Variance32901.181
MonotonicityNot monotonic
2024-03-13T09:13:40.542988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 116
 
1.2%
19 102
 
1.0%
20 101
 
1.0%
22 100
 
1.0%
18 90
 
0.9%
23 86
 
0.9%
24 85
 
0.9%
8 83
 
0.8%
9 79
 
0.8%
25 77
 
0.8%
Other values (817) 9081
90.8%
ValueCountFrequency (%)
0 11
 
0.1%
1 24
 
0.2%
2 26
 
0.3%
3 42
0.4%
4 40
0.4%
5 63
0.6%
6 75
0.8%
7 60
0.6%
8 83
0.8%
9 79
0.8%
ValueCountFrequency (%)
1052 1
< 0.1%
1004 1
< 0.1%
988 1
< 0.1%
987 1
< 0.1%
983 1
< 0.1%
975 1
< 0.1%
974 1
< 0.1%
970 1
< 0.1%
966 1
< 0.1%
961 1
< 0.1%

09시 인원
Real number (ℝ)

Distinct563
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.8266
Minimum0
Maximum691
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:40.693366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q124
median56
Q3105.25
95-th percentile358
Maximum691
Range691
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation111.22728
Coefficient of variation (CV)1.1854558
Kurtosis4.3522893
Mean93.8266
Median Absolute Deviation (MAD)36
Skewness2.1390261
Sum938266
Variance12371.509
MonotonicityNot monotonic
2024-03-13T09:13:40.819017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 161
 
1.6%
17 151
 
1.5%
21 143
 
1.4%
19 135
 
1.4%
16 132
 
1.3%
9 131
 
1.3%
11 128
 
1.3%
10 126
 
1.3%
12 124
 
1.2%
14 123
 
1.2%
Other values (553) 8646
86.5%
ValueCountFrequency (%)
0 11
 
0.1%
1 21
 
0.2%
2 37
 
0.4%
3 43
 
0.4%
4 73
0.7%
5 80
0.8%
6 110
1.1%
7 89
0.9%
8 99
1.0%
9 131
1.3%
ValueCountFrequency (%)
691 1
< 0.1%
680 1
< 0.1%
660 1
< 0.1%
649 1
< 0.1%
646 1
< 0.1%
624 1
< 0.1%
617 2
< 0.1%
612 1
< 0.1%
606 1
< 0.1%
605 1
< 0.1%

10시 인원
Real number (ℝ)

Distinct571
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.2566
Minimum0
Maximum893
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:40.940003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q121
median51
Q3103
95-th percentile342
Maximum893
Range893
Interquartile range (IQR)82

Descriptive statistics

Standard deviation111.46985
Coefficient of variation (CV)1.2488695
Kurtosis6.8728349
Mean89.2566
Median Absolute Deviation (MAD)35
Skewness2.4573048
Sum892566
Variance12425.527
MonotonicityNot monotonic
2024-03-13T09:13:41.041165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 179
 
1.8%
9 164
 
1.6%
13 164
 
1.6%
11 161
 
1.6%
10 155
 
1.6%
14 152
 
1.5%
15 144
 
1.4%
8 141
 
1.4%
7 137
 
1.4%
17 133
 
1.3%
Other values (561) 8470
84.7%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 13
 
0.1%
2 28
 
0.3%
3 56
 
0.6%
4 77
0.8%
5 123
1.2%
6 131
1.3%
7 137
1.4%
8 141
1.4%
9 164
1.6%
ValueCountFrequency (%)
893 1
< 0.1%
836 1
< 0.1%
834 2
< 0.1%
808 1
< 0.1%
784 1
< 0.1%
779 1
< 0.1%
769 1
< 0.1%
765 1
< 0.1%
753 1
< 0.1%
743 1
< 0.1%

11시 인원
Real number (ℝ)

Distinct561
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.472
Minimum0
Maximum796
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:41.145498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q122
median54
Q3106
95-th percentile344
Maximum796
Range796
Interquartile range (IQR)84

Descriptive statistics

Standard deviation109.37836
Coefficient of variation (CV)1.2089747
Kurtosis6.7520044
Mean90.472
Median Absolute Deviation (MAD)37
Skewness2.4255455
Sum904720
Variance11963.626
MonotonicityNot monotonic
2024-03-13T09:13:41.263558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 177
 
1.8%
10 175
 
1.8%
8 171
 
1.7%
11 169
 
1.7%
13 164
 
1.6%
9 161
 
1.6%
14 145
 
1.5%
15 139
 
1.4%
6 138
 
1.4%
7 134
 
1.3%
Other values (551) 8427
84.3%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 14
 
0.1%
2 38
 
0.4%
3 58
 
0.6%
4 72
0.7%
5 108
1.1%
6 138
1.4%
7 134
1.3%
8 171
1.7%
9 161
1.6%
ValueCountFrequency (%)
796 1
 
< 0.1%
774 1
 
< 0.1%
772 1
 
< 0.1%
766 1
 
< 0.1%
756 1
 
< 0.1%
752 1
 
< 0.1%
751 1
 
< 0.1%
742 1
 
< 0.1%
738 3
< 0.1%
724 2
< 0.1%

12시 인원
Real number (ℝ)

Distinct606
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.0988
Minimum0
Maximum855
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:41.388239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q126
median61
Q3117
95-th percentile408
Maximum855
Range855
Interquartile range (IQR)91

Descriptive statistics

Standard deviation121.45224
Coefficient of variation (CV)1.189556
Kurtosis4.9886986
Mean102.0988
Median Absolute Deviation (MAD)42
Skewness2.2363955
Sum1020988
Variance14750.647
MonotonicityNot monotonic
2024-03-13T09:13:41.502464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 157
 
1.6%
12 150
 
1.5%
13 146
 
1.5%
14 141
 
1.4%
7 135
 
1.4%
11 133
 
1.3%
9 129
 
1.3%
17 125
 
1.2%
10 125
 
1.2%
15 124
 
1.2%
Other values (596) 8635
86.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 10
 
0.1%
2 16
 
0.2%
3 36
 
0.4%
4 57
0.6%
5 100
1.0%
6 99
1.0%
7 135
1.4%
8 122
1.2%
9 129
1.3%
ValueCountFrequency (%)
855 1
< 0.1%
786 1
< 0.1%
766 1
< 0.1%
746 1
< 0.1%
743 1
< 0.1%
742 1
< 0.1%
725 1
< 0.1%
716 1
< 0.1%
714 1
< 0.1%
703 1
< 0.1%

13시 인원
Real number (ℝ)

Distinct613
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7603
Minimum0
Maximum963
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:41.867995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q125
median62
Q3120
95-th percentile390
Maximum963
Range963
Interquartile range (IQR)95

Descriptive statistics

Standard deviation120.40726
Coefficient of variation (CV)1.1717293
Kurtosis5.3248142
Mean102.7603
Median Absolute Deviation (MAD)44
Skewness2.2347579
Sum1027603
Variance14497.908
MonotonicityNot monotonic
2024-03-13T09:13:42.002794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 173
 
1.7%
8 155
 
1.6%
10 143
 
1.4%
9 139
 
1.4%
16 136
 
1.4%
15 135
 
1.4%
13 131
 
1.3%
7 124
 
1.2%
12 121
 
1.2%
6 120
 
1.2%
Other values (603) 8623
86.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 30
 
0.3%
3 52
 
0.5%
4 65
0.7%
5 92
0.9%
6 120
1.2%
7 124
1.2%
8 155
1.6%
9 139
1.4%
ValueCountFrequency (%)
963 1
< 0.1%
825 1
< 0.1%
818 1
< 0.1%
816 1
< 0.1%
772 1
< 0.1%
758 1
< 0.1%
750 1
< 0.1%
737 1
< 0.1%
735 1
< 0.1%
732 1
< 0.1%

14시 인원
Real number (ℝ)

Distinct551
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.5703
Minimum1
Maximum757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:42.119294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q126
median62
Q3116
95-th percentile345
Maximum757
Range756
Interquartile range (IQR)90

Descriptive statistics

Standard deviation106.84646
Coefficient of variation (CV)1.1064112
Kurtosis5.1952201
Mean96.5703
Median Absolute Deviation (MAD)42
Skewness2.1714019
Sum965703
Variance11416.166
MonotonicityNot monotonic
2024-03-13T09:13:42.245347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 164
 
1.6%
13 146
 
1.5%
10 144
 
1.4%
9 144
 
1.4%
12 144
 
1.4%
14 139
 
1.4%
8 127
 
1.3%
15 122
 
1.2%
16 119
 
1.2%
7 115
 
1.1%
Other values (541) 8636
86.4%
ValueCountFrequency (%)
1 8
 
0.1%
2 19
 
0.2%
3 39
 
0.4%
4 58
0.6%
5 87
0.9%
6 85
0.9%
7 115
1.1%
8 127
1.3%
9 144
1.4%
10 144
1.4%
ValueCountFrequency (%)
757 1
< 0.1%
749 1
< 0.1%
735 1
< 0.1%
734 1
< 0.1%
727 1
< 0.1%
692 1
< 0.1%
688 1
< 0.1%
666 1
< 0.1%
662 1
< 0.1%
658 1
< 0.1%

15시 인원
Real number (ℝ)

Distinct580
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.5022
Minimum0
Maximum766
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:42.359672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q129
median70
Q3136
95-th percentile370.05
Maximum766
Range766
Interquartile range (IQR)107

Descriptive statistics

Standard deviation114.07859
Coefficient of variation (CV)1.0611744
Kurtosis4.0327804
Mean107.5022
Median Absolute Deviation (MAD)48
Skewness1.9719423
Sum1075022
Variance13013.924
MonotonicityNot monotonic
2024-03-13T09:13:42.478918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 141
 
1.4%
17 131
 
1.3%
12 128
 
1.3%
13 125
 
1.2%
15 121
 
1.2%
14 118
 
1.2%
16 113
 
1.1%
20 110
 
1.1%
9 108
 
1.1%
10 108
 
1.1%
Other values (570) 8797
88.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 5
 
0.1%
2 6
 
0.1%
3 15
 
0.1%
4 41
 
0.4%
5 43
 
0.4%
6 89
0.9%
7 77
0.8%
8 102
1.0%
9 108
1.1%
ValueCountFrequency (%)
766 1
< 0.1%
703 1
< 0.1%
699 1
< 0.1%
663 1
< 0.1%
656 1
< 0.1%
654 1
< 0.1%
651 1
< 0.1%
649 2
< 0.1%
648 1
< 0.1%
647 1
< 0.1%

16시 인원
Real number (ℝ)

Distinct633
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.4884
Minimum1
Maximum783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:42.598490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q139
median86
Q3159
95-th percentile434
Maximum783
Range782
Interquartile range (IQR)120

Descriptive statistics

Standard deviation128.18388
Coefficient of variation (CV)1.0134042
Kurtosis3.5489359
Mean126.4884
Median Absolute Deviation (MAD)55
Skewness1.8980557
Sum1264884
Variance16431.107
MonotonicityNot monotonic
2024-03-13T09:13:42.767429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 107
 
1.1%
14 93
 
0.9%
13 93
 
0.9%
15 85
 
0.9%
7 83
 
0.8%
9 79
 
0.8%
20 79
 
0.8%
25 79
 
0.8%
18 79
 
0.8%
17 78
 
0.8%
Other values (623) 9145
91.5%
ValueCountFrequency (%)
1 7
 
0.1%
2 5
 
0.1%
3 17
 
0.2%
4 33
 
0.3%
5 35
0.4%
6 62
0.6%
7 83
0.8%
8 64
0.6%
9 79
0.8%
10 70
0.7%
ValueCountFrequency (%)
783 1
< 0.1%
750 1
< 0.1%
730 1
< 0.1%
720 2
< 0.1%
718 1
< 0.1%
717 1
< 0.1%
713 1
< 0.1%
712 1
< 0.1%
710 1
< 0.1%
708 1
< 0.1%

17시 인원
Real number (ℝ)

Distinct846
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.2951
Minimum1
Maximum1280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:42.891198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q156
median115
Q3199
95-th percentile555.05
Maximum1280
Range1279
Interquartile range (IQR)143

Descriptive statistics

Standard deviation181.54679
Coefficient of variation (CV)1.0787408
Kurtosis6.8090802
Mean168.2951
Median Absolute Deviation (MAD)69
Skewness2.4085848
Sum1682951
Variance32959.237
MonotonicityNot monotonic
2024-03-13T09:13:43.006800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 76
 
0.8%
21 72
 
0.7%
24 68
 
0.7%
16 67
 
0.7%
17 66
 
0.7%
23 66
 
0.7%
13 64
 
0.6%
22 63
 
0.6%
15 62
 
0.6%
20 60
 
0.6%
Other values (836) 9336
93.4%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 12
 
0.1%
3 12
 
0.1%
4 25
0.2%
5 33
0.3%
6 46
0.5%
7 44
0.4%
8 46
0.5%
9 43
0.4%
10 51
0.5%
ValueCountFrequency (%)
1280 1
< 0.1%
1261 1
< 0.1%
1253 1
< 0.1%
1247 1
< 0.1%
1207 1
< 0.1%
1189 1
< 0.1%
1177 1
< 0.1%
1171 1
< 0.1%
1156 1
< 0.1%
1151 1
< 0.1%

18시 인원
Real number (ℝ)

Distinct922
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.0627
Minimum0
Maximum1500
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:43.124939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q149
median119
Q3206
95-th percentile596.1
Maximum1500
Range1500
Interquartile range (IQR)157

Descriptive statistics

Standard deviation205.71897
Coefficient of variation (CV)1.1618425
Kurtosis7.808202
Mean177.0627
Median Absolute Deviation (MAD)75
Skewness2.5849812
Sum1770627
Variance42320.293
MonotonicityNot monotonic
2024-03-13T09:13:43.239237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 79
 
0.8%
18 78
 
0.8%
19 70
 
0.7%
7 68
 
0.7%
10 67
 
0.7%
14 65
 
0.7%
48 63
 
0.6%
39 62
 
0.6%
16 62
 
0.6%
20 62
 
0.6%
Other values (912) 9324
93.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 10
 
0.1%
2 7
 
0.1%
3 24
 
0.2%
4 43
0.4%
5 39
0.4%
6 47
0.5%
7 68
0.7%
8 56
0.6%
9 61
0.6%
ValueCountFrequency (%)
1500 1
< 0.1%
1471 1
< 0.1%
1442 1
< 0.1%
1428 1
< 0.1%
1411 1
< 0.1%
1392 1
< 0.1%
1367 1
< 0.1%
1352 1
< 0.1%
1345 1
< 0.1%
1325 1
< 0.1%

19시 인원
Real number (ℝ)

Distinct564
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.9362
Minimum0
Maximum791
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:43.353766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q126
median64
Q3119
95-th percentile376
Maximum791
Range791
Interquartile range (IQR)93

Descriptive statistics

Standard deviation113.76803
Coefficient of variation (CV)1.1271282
Kurtosis3.9342541
Mean100.9362
Median Absolute Deviation (MAD)42
Skewness2.0163447
Sum1009362
Variance12943.166
MonotonicityNot monotonic
2024-03-13T09:13:43.489308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 126
 
1.3%
21 125
 
1.2%
15 124
 
1.2%
23 119
 
1.2%
5 116
 
1.2%
8 115
 
1.1%
19 113
 
1.1%
10 112
 
1.1%
18 112
 
1.1%
11 110
 
1.1%
Other values (554) 8828
88.3%
ValueCountFrequency (%)
0 14
 
0.1%
1 16
 
0.2%
2 39
 
0.4%
3 60
0.6%
4 80
0.8%
5 116
1.2%
6 105
1.1%
7 106
1.1%
8 115
1.1%
9 99
1.0%
ValueCountFrequency (%)
791 1
< 0.1%
745 1
< 0.1%
708 1
< 0.1%
678 1
< 0.1%
670 1
< 0.1%
662 1
< 0.1%
645 1
< 0.1%
639 2
< 0.1%
634 1
< 0.1%
633 1
< 0.1%

20시 인원
Real number (ℝ)

Distinct483
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.4924
Minimum0
Maximum776
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:43.612829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median48
Q390
95-th percentile288
Maximum776
Range776
Interquartile range (IQR)71

Descriptive statistics

Standard deviation89.568818
Coefficient of variation (CV)1.1709506
Kurtosis5.9750539
Mean76.4924
Median Absolute Deviation (MAD)33
Skewness2.2894267
Sum764924
Variance8022.5732
MonotonicityNot monotonic
2024-03-13T09:13:43.755692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 200
 
2.0%
6 198
 
2.0%
8 187
 
1.9%
10 181
 
1.8%
5 173
 
1.7%
9 158
 
1.6%
14 156
 
1.6%
13 152
 
1.5%
11 140
 
1.4%
12 140
 
1.4%
Other values (473) 8315
83.2%
ValueCountFrequency (%)
0 17
 
0.2%
1 48
 
0.5%
2 65
 
0.7%
3 104
1.0%
4 114
1.1%
5 173
1.7%
6 198
2.0%
7 200
2.0%
8 187
1.9%
9 158
1.6%
ValueCountFrequency (%)
776 1
< 0.1%
684 1
< 0.1%
661 1
< 0.1%
652 1
< 0.1%
613 1
< 0.1%
594 1
< 0.1%
575 1
< 0.1%
572 1
< 0.1%
571 1
< 0.1%
570 2
< 0.1%

21시 인원
Real number (ℝ)

Distinct460
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.9191
Minimum0
Maximum637
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:43.868078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median35
Q372
95-th percentile250
Maximum637
Range637
Interquartile range (IQR)59

Descriptive statistics

Standard deviation83.287334
Coefficient of variation (CV)1.323721
Kurtosis8.4936721
Mean62.9191
Median Absolute Deviation (MAD)26
Skewness2.7191902
Sum629191
Variance6936.78
MonotonicityNot monotonic
2024-03-13T09:13:43.975171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 256
 
2.6%
5 248
 
2.5%
6 243
 
2.4%
8 240
 
2.4%
7 224
 
2.2%
9 212
 
2.1%
3 208
 
2.1%
10 178
 
1.8%
11 173
 
1.7%
2 172
 
1.7%
Other values (450) 7846
78.5%
ValueCountFrequency (%)
0 45
 
0.4%
1 117
1.2%
2 172
1.7%
3 208
2.1%
4 256
2.6%
5 248
2.5%
6 243
2.4%
7 224
2.2%
8 240
2.4%
9 212
2.1%
ValueCountFrequency (%)
637 1
< 0.1%
635 1
< 0.1%
628 1
< 0.1%
626 1
< 0.1%
604 1
< 0.1%
599 1
< 0.1%
578 1
< 0.1%
573 1
< 0.1%
559 1
< 0.1%
554 1
< 0.1%

22시 인원
Real number (ℝ)

Distinct287
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.9336
Minimum0
Maximum591
Zeros93
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:44.097298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median25
Q356
95-th percentile149
Maximum591
Range591
Interquartile range (IQR)48

Descriptive statistics

Standard deviation49.342384
Coefficient of variation (CV)1.1766789
Kurtosis8.0487605
Mean41.9336
Median Absolute Deviation (MAD)20
Skewness2.3408242
Sum419336
Variance2434.6709
MonotonicityNot monotonic
2024-03-13T09:13:44.208734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 381
 
3.8%
4 374
 
3.7%
5 359
 
3.6%
6 319
 
3.2%
2 296
 
3.0%
8 285
 
2.9%
7 271
 
2.7%
9 261
 
2.6%
10 228
 
2.3%
1 214
 
2.1%
Other values (277) 7012
70.1%
ValueCountFrequency (%)
0 93
 
0.9%
1 214
2.1%
2 296
3.0%
3 381
3.8%
4 374
3.7%
5 359
3.6%
6 319
3.2%
7 271
2.7%
8 285
2.9%
9 261
2.6%
ValueCountFrequency (%)
591 1
< 0.1%
499 1
< 0.1%
425 1
< 0.1%
403 1
< 0.1%
382 1
< 0.1%
375 1
< 0.1%
361 1
< 0.1%
354 1
< 0.1%
352 1
< 0.1%
335 1
< 0.1%

23시 인원
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.1584
Minimum0
Maximum224
Zeros614
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:13:44.330597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q328
95-th percentile67
Maximum224
Range224
Interquartile range (IQR)25

Descriptive statistics

Standard deviation23.667799
Coefficient of variation (CV)1.2353745
Kurtosis7.9644371
Mean19.1584
Median Absolute Deviation (MAD)8
Skewness2.3440718
Sum191584
Variance560.16473
MonotonicityNot monotonic
2024-03-13T09:13:44.442141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 723
 
7.2%
2 697
 
7.0%
3 622
 
6.2%
0 614
 
6.1%
4 549
 
5.5%
5 451
 
4.5%
6 398
 
4.0%
7 320
 
3.2%
9 317
 
3.2%
8 291
 
2.9%
Other values (152) 5018
50.2%
ValueCountFrequency (%)
0 614
6.1%
1 723
7.2%
2 697
7.0%
3 622
6.2%
4 549
5.5%
5 451
4.5%
6 398
4.0%
7 320
3.2%
8 291
2.9%
9 317
3.2%
ValueCountFrequency (%)
224 1
< 0.1%
208 1
< 0.1%
203 1
< 0.1%
199 1
< 0.1%
192 1
< 0.1%
189 1
< 0.1%
187 1
< 0.1%
183 1
< 0.1%
181 1
< 0.1%
176 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
21652하차2022-03-09괘법 르네시떼84130000414263755364678846066806844343939208
11145승차2022-06-15봉황19150000423631711549681739512010911311718817110413650407
24135하차2022-07-05대저5904000005812542453428423623525324222620539978295931130519110134
15108하차2021-05-01불암3720000031919293939231821201522301820816112
23875하차2022-06-22장신대21881100007246211797776874104112226183225291154120898958
37승차2021-01-02수로왕릉11970000292732745664728365991039390735859932916
7366승차2021-12-17수로왕릉263230004327924230115011614311314212220019022018511186748534
2445승차2021-04-27불암48700001412222119121516262130511136819191233
20334하차2022-01-05대저5351100003310435950125820517627521222225534071485729619521610725
5596승차2021-09-24지내1081000022936961175861556160446865132101352820112
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
1315승차2021-03-04김해시청962000001035121100473529453454426687150333619145
3909승차2021-07-06공항43060000021191783783802492973222122333943943382383771861080
15085하차2021-04-30평강389100003277272241218165101614301716912114
4419승차2021-07-30불암3980000001519151612151319192841825623101032
18978하차2021-11-01봉황194340000775731491091551228911411311311019519912870583921
6710승차2021-11-16김해대학969000004153436151617181714176938415885531151
19649하차2021-12-03부원233780000185989244128103111114127144176174230195147113775228
6896승차2021-11-25대사4770000071125181010142682422301051063122530
21449하차2022-02-27대사133000001612783717591177968532
23486하차2022-06-04대사33200000929353721199202015141520181810698