Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory231.0 B

Variable types

Categorical2
Numeric22
Text1

Dataset

Description대구도시철도 역별 일별 시간별 수송인원현황(2024. 1. 1.~2024. 3. 31.)에 대한 데이터로 역별, 일자별, 시간대별로 승하차인원을 조회할 수 있는 자료입니다.
Author대구교통공사
URLhttps://www.data.go.kr/data/15002503/fileData.do

Alerts

05시-06시 has 352 (3.5%) zerosZeros

Reproduction

Analysis started2024-04-21 00:57:35.131561
Analysis finished2024-04-21 00:57:35.830134
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
3539 
1
3395 
2
3066 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 3539
35.4%
1 3395
34.0%
2 3066
30.7%

Length

2024-04-21T09:57:35.893664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:57:35.973458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3539
35.4%
1 3395
34.0%
2 3066
30.7%


Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6727
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:36.072282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile30
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8212219
Coefficient of variation (CV)0.56283996
Kurtosis-1.1811834
Mean15.6727
Median Absolute Deviation (MAD)8
Skewness0.031941389
Sum156727
Variance77.813956
MonotonicityNot monotonic
2024-04-21T09:57:36.183057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
26 348
 
3.5%
17 348
 
3.5%
15 344
 
3.4%
8 343
 
3.4%
4 341
 
3.4%
6 340
 
3.4%
9 336
 
3.4%
12 336
 
3.4%
10 334
 
3.3%
3 333
 
3.3%
Other values (21) 6597
66.0%
ValueCountFrequency (%)
1 323
3.2%
2 330
3.3%
3 333
3.3%
4 341
3.4%
5 319
3.2%
6 340
3.4%
7 328
3.3%
8 343
3.4%
9 336
3.4%
10 334
3.3%
ValueCountFrequency (%)
31 333
3.3%
30 215
2.1%
29 222
2.2%
28 323
3.2%
27 332
3.3%
26 348
3.5%
25 330
3.3%
24 333
3.3%
23 321
3.2%
22 325
3.2%

역번호
Real number (ℝ)

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2257.382
Minimum1150
Maximum3410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:36.303083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1150
5-th percentile1190
Q11370
median2280
Q33180
95-th percentile3370
Maximum3410
Range2260
Interquartile range (IQR)1810

Descriptive statistics

Standard deviation813.91369
Coefficient of variation (CV)0.36055647
Kurtosis-1.4946373
Mean2257.382
Median Absolute Deviation (MAD)910
Skewness0.042945602
Sum22573820
Variance662455.49
MonotonicityNot monotonic
2024-04-21T09:57:36.422057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1390 129
 
1.3%
2300 128
 
1.3%
2240 126
 
1.3%
3290 123
 
1.2%
1380 123
 
1.2%
1370 122
 
1.2%
2230 122
 
1.2%
1360 120
 
1.2%
2430 119
 
1.2%
1160 119
 
1.2%
Other values (81) 8769
87.7%
ValueCountFrequency (%)
1150 114
1.1%
1160 119
1.2%
1170 106
1.1%
1180 112
1.1%
1190 114
1.1%
1200 108
1.1%
1210 113
1.1%
1220 106
1.1%
1230 108
1.1%
1240 111
1.1%
ValueCountFrequency (%)
3410 115
1.1%
3400 110
1.1%
3390 118
1.2%
3380 100
1.0%
3370 100
1.0%
3360 107
1.1%
3350 108
1.1%
3340 116
1.2%
3330 95
0.9%
3320 116
1.2%

역명
Text

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T09:57:36.682566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.7977
Min length2

Characters and Unicode

Total characters27977
Distinct characters113
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남산
2nd row용계
3rd row반월당2
4th row중앙로
5th row정평
ValueCountFrequency (%)
해안 129
 
1.3%
반월당2 128
 
1.3%
죽전 126
 
1.3%
청라언덕3 123
 
1.2%
동촌 123
 
1.2%
아양교 122
 
1.2%
용산 122
 
1.2%
동구청 120
 
1.2%
임당 119
 
1.2%
화원 119
 
1.2%
Other values (81) 8769
87.7%
2024-04-21T09:57:37.059639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1605
 
5.7%
866
 
3.1%
777
 
2.8%
756
 
2.7%
747
 
2.7%
684
 
2.4%
676
 
2.4%
571
 
2.0%
561
 
2.0%
548
 
2.0%
Other values (103) 20186
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27304
97.6%
Decimal Number 673
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1605
 
5.9%
866
 
3.2%
777
 
2.8%
756
 
2.8%
747
 
2.7%
684
 
2.5%
676
 
2.5%
571
 
2.1%
561
 
2.1%
548
 
2.0%
Other values (100) 19513
71.5%
Decimal Number
ValueCountFrequency (%)
3 233
34.6%
2 224
33.3%
1 216
32.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27304
97.6%
Common 673
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1605
 
5.9%
866
 
3.2%
777
 
2.8%
756
 
2.8%
747
 
2.7%
684
 
2.5%
676
 
2.5%
571
 
2.1%
561
 
2.1%
548
 
2.0%
Other values (100) 19513
71.5%
Common
ValueCountFrequency (%)
3 233
34.6%
2 224
33.3%
1 216
32.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27304
97.6%
ASCII 673
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1605
 
5.9%
866
 
3.2%
777
 
2.8%
756
 
2.8%
747
 
2.7%
684
 
2.5%
676
 
2.5%
571
 
2.1%
561
 
2.1%
548
 
2.0%
Other values (100) 19513
71.5%
ASCII
ValueCountFrequency (%)
3 233
34.6%
2 224
33.3%
1 216
32.1%

승하차
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5036 
승차
4964 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5036
50.4%
승차 4964
49.6%

Length

2024-04-21T09:57:37.194820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:57:37.284036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5036
50.4%
승차 4964
49.6%

05시-06시
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5971
Minimum0
Maximum658
Zeros352
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:37.380307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median18
Q343
95-th percentile81
Maximum658
Range658
Interquartile range (IQR)37

Descriptive statistics

Standard deviation27.771192
Coefficient of variation (CV)1.0063083
Kurtosis33.366007
Mean27.5971
Median Absolute Deviation (MAD)14
Skewness2.5906777
Sum275971
Variance771.2391
MonotonicityNot monotonic
2024-04-21T09:57:37.494917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 469
 
4.7%
3 430
 
4.3%
1 394
 
3.9%
4 387
 
3.9%
0 352
 
3.5%
5 326
 
3.3%
6 291
 
2.9%
7 281
 
2.8%
11 260
 
2.6%
8 241
 
2.4%
Other values (134) 6569
65.7%
ValueCountFrequency (%)
0 352
3.5%
1 394
3.9%
2 469
4.7%
3 430
4.3%
4 387
3.9%
5 326
3.3%
6 291
2.9%
7 281
2.8%
8 241
2.4%
9 208
2.1%
ValueCountFrequency (%)
658 1
< 0.1%
474 1
< 0.1%
159 1
< 0.1%
149 2
< 0.1%
148 1
< 0.1%
146 1
< 0.1%
145 2
< 0.1%
141 2
< 0.1%
140 1
< 0.1%
138 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct336
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.6389
Minimum0
Maximum743
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:37.627923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q136
median63
Q3108
95-th percentile183
Maximum743
Range743
Interquartile range (IQR)72

Descriptive statistics

Standard deviation61.883735
Coefficient of variation (CV)0.78693541
Kurtosis16.353906
Mean78.6389
Median Absolute Deviation (MAD)32
Skewness2.7137577
Sum786389
Variance3829.5967
MonotonicityNot monotonic
2024-04-21T09:57:37.758354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 132
 
1.3%
36 121
 
1.2%
31 116
 
1.2%
29 115
 
1.1%
35 114
 
1.1%
39 111
 
1.1%
47 109
 
1.1%
32 107
 
1.1%
40 106
 
1.1%
42 106
 
1.1%
Other values (326) 8863
88.6%
ValueCountFrequency (%)
0 11
 
0.1%
1 5
 
0.1%
2 21
 
0.2%
3 25
0.2%
4 22
0.2%
5 32
0.3%
6 28
0.3%
7 32
0.3%
8 39
0.4%
9 54
0.5%
ValueCountFrequency (%)
743 1
< 0.1%
720 1
< 0.1%
698 1
< 0.1%
694 1
< 0.1%
685 1
< 0.1%
680 1
< 0.1%
675 1
< 0.1%
652 1
< 0.1%
624 1
< 0.1%
595 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct788
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.9382
Minimum1
Maximum1363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:37.884205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q165
median129
Q3262.25
95-th percentile533
Maximum1363
Range1362
Interquartile range (IQR)197.25

Descriptive statistics

Standard deviation170.05421
Coefficient of variation (CV)0.90484112
Kurtosis4.1182266
Mean187.9382
Median Absolute Deviation (MAD)80
Skewness1.7332493
Sum1879382
Variance28918.435
MonotonicityNot monotonic
2024-04-21T09:57:38.007042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 72
 
0.7%
42 71
 
0.7%
46 69
 
0.7%
36 67
 
0.7%
68 63
 
0.6%
50 62
 
0.6%
49 60
 
0.6%
45 60
 
0.6%
74 60
 
0.6%
54 60
 
0.6%
Other values (778) 9356
93.6%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 5
 
0.1%
3 8
0.1%
4 11
0.1%
5 14
0.1%
6 6
 
0.1%
7 15
0.1%
8 10
0.1%
9 12
0.1%
10 9
0.1%
ValueCountFrequency (%)
1363 1
< 0.1%
1342 1
< 0.1%
1334 1
< 0.1%
1330 2
< 0.1%
1328 1
< 0.1%
1311 1
< 0.1%
1275 1
< 0.1%
1256 1
< 0.1%
1253 2
< 0.1%
1240 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct1235
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.3514
Minimum2
Maximum2891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:38.165826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile44
Q1124
median247
Q3446.25
95-th percentile866.05
Maximum2891
Range2889
Interquartile range (IQR)322.25

Descriptive statistics

Standard deviation310.04159
Coefficient of variation (CV)0.9190464
Kurtosis7.175458
Mean337.3514
Median Absolute Deviation (MAD)147.5
Skewness2.2447804
Sum3373514
Variance96125.788
MonotonicityNot monotonic
2024-04-21T09:57:38.297898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 40
 
0.4%
221 39
 
0.4%
76 37
 
0.4%
82 37
 
0.4%
58 36
 
0.4%
219 36
 
0.4%
212 35
 
0.4%
66 34
 
0.3%
207 34
 
0.3%
59 34
 
0.3%
Other values (1225) 9638
96.4%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 3
< 0.1%
4 7
0.1%
5 2
 
< 0.1%
6 6
0.1%
7 3
< 0.1%
8 4
< 0.1%
9 3
< 0.1%
10 7
0.1%
11 4
< 0.1%
ValueCountFrequency (%)
2891 1
< 0.1%
2765 1
< 0.1%
2723 1
< 0.1%
2579 1
< 0.1%
2438 1
< 0.1%
2384 1
< 0.1%
2282 1
< 0.1%
2117 1
< 0.1%
2007 1
< 0.1%
1968 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct904
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.4322
Minimum0
Maximum1802
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:38.419539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1112
median183
Q3297
95-th percentile549
Maximum1802
Range1802
Interquartile range (IQR)185

Descriptive statistics

Standard deviation209.26537
Coefficient of variation (CV)0.88509675
Kurtosis15.046861
Mean236.4322
Median Absolute Deviation (MAD)87
Skewness3.1886079
Sum2364322
Variance43791.996
MonotonicityNot monotonic
2024-04-21T09:57:38.563144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 46
 
0.5%
157 45
 
0.4%
118 45
 
0.4%
100 45
 
0.4%
161 45
 
0.4%
151 45
 
0.4%
125 44
 
0.4%
103 44
 
0.4%
94 44
 
0.4%
162 43
 
0.4%
Other values (894) 9554
95.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 1
 
< 0.1%
5 5
0.1%
6 5
0.1%
7 1
 
< 0.1%
8 7
0.1%
9 1
 
< 0.1%
10 5
0.1%
11 3
< 0.1%
12 3
< 0.1%
ValueCountFrequency (%)
1802 1
 
< 0.1%
1787 1
 
< 0.1%
1786 1
 
< 0.1%
1777 1
 
< 0.1%
1775 1
 
< 0.1%
1771 1
 
< 0.1%
1769 1
 
< 0.1%
1768 1
 
< 0.1%
1758 1
 
< 0.1%
1757 3
< 0.1%

10시-11시
Real number (ℝ)

Distinct875
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.5158
Minimum2
Maximum1732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:38.689242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile45
Q1108
median176
Q3266
95-th percentile525
Maximum1732
Range1730
Interquartile range (IQR)158

Descriptive statistics

Standard deviation190.9182
Coefficient of variation (CV)0.86578012
Kurtosis13.446923
Mean220.5158
Median Absolute Deviation (MAD)76
Skewness3.0875916
Sum2205158
Variance36449.757
MonotonicityNot monotonic
2024-04-21T09:57:38.809747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 54
 
0.5%
152 50
 
0.5%
137 50
 
0.5%
139 50
 
0.5%
113 48
 
0.5%
207 47
 
0.5%
102 47
 
0.5%
106 47
 
0.5%
170 46
 
0.5%
135 46
 
0.5%
Other values (865) 9515
95.2%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
8 6
0.1%
9 4
 
< 0.1%
10 10
0.1%
11 3
 
< 0.1%
ValueCountFrequency (%)
1732 1
< 0.1%
1671 1
< 0.1%
1668 1
< 0.1%
1659 1
< 0.1%
1643 1
< 0.1%
1634 1
< 0.1%
1631 1
< 0.1%
1630 1
< 0.1%
1540 1
< 0.1%
1531 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct964
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.3686
Minimum3
Maximum2486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:38.932353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile50
Q1122
median193
Q3295
95-th percentile608
Maximum2486
Range2483
Interquartile range (IQR)173

Descriptive statistics

Standard deviation225.69247
Coefficient of variation (CV)0.90869971
Kurtosis16.290104
Mean248.3686
Median Absolute Deviation (MAD)82
Skewness3.3567052
Sum2483686
Variance50937.093
MonotonicityNot monotonic
2024-04-21T09:57:39.049635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141 51
 
0.5%
181 48
 
0.5%
167 46
 
0.5%
191 45
 
0.4%
150 44
 
0.4%
128 44
 
0.4%
190 44
 
0.4%
179 44
 
0.4%
170 43
 
0.4%
168 42
 
0.4%
Other values (954) 9549
95.5%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
8 4
< 0.1%
9 4
< 0.1%
10 3
< 0.1%
11 5
0.1%
12 6
0.1%
ValueCountFrequency (%)
2486 1
< 0.1%
2419 1
< 0.1%
2361 1
< 0.1%
2293 1
< 0.1%
2186 1
< 0.1%
2136 1
< 0.1%
2101 1
< 0.1%
2052 1
< 0.1%
1891 1
< 0.1%
1865 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1019
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.8302
Minimum3
Maximum3005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:39.191229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile56
Q1134
median210
Q3313
95-th percentile635.05
Maximum3005
Range3002
Interquartile range (IQR)179

Descriptive statistics

Standard deviation257.60053
Coefficient of variation (CV)0.95467641
Kurtosis19.635389
Mean269.8302
Median Absolute Deviation (MAD)86
Skewness3.7858187
Sum2698302
Variance66358.031
MonotonicityNot monotonic
2024-04-21T09:57:39.490198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 50
 
0.5%
222 46
 
0.5%
196 44
 
0.4%
211 43
 
0.4%
130 43
 
0.4%
127 43
 
0.4%
200 42
 
0.4%
203 42
 
0.4%
173 41
 
0.4%
241 41
 
0.4%
Other values (1009) 9565
95.7%
ValueCountFrequency (%)
3 2
 
< 0.1%
7 3
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 4
< 0.1%
14 5
0.1%
15 7
0.1%
ValueCountFrequency (%)
3005 1
< 0.1%
2718 1
< 0.1%
2623 1
< 0.1%
2620 1
< 0.1%
2502 1
< 0.1%
2384 1
< 0.1%
2377 1
< 0.1%
2345 1
< 0.1%
2340 1
< 0.1%
2314 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1073
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.2886
Minimum3
Maximum3145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:39.607303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile63
Q1145
median220
Q3324
95-th percentile690.05
Maximum3145
Range3142
Interquartile range (IQR)179

Descriptive statistics

Standard deviation273.02423
Coefficient of variation (CV)0.96037701
Kurtosis21.892562
Mean284.2886
Median Absolute Deviation (MAD)85
Skewness3.9306481
Sum2842886
Variance74542.233
MonotonicityNot monotonic
2024-04-21T09:57:39.740721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218 52
 
0.5%
221 45
 
0.4%
196 45
 
0.4%
153 45
 
0.4%
242 45
 
0.4%
211 45
 
0.4%
208 44
 
0.4%
227 43
 
0.4%
128 42
 
0.4%
231 41
 
0.4%
Other values (1063) 9553
95.5%
ValueCountFrequency (%)
3 1
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
13 3
 
< 0.1%
14 9
0.1%
15 3
 
< 0.1%
16 4
 
< 0.1%
17 8
0.1%
18 10
0.1%
ValueCountFrequency (%)
3145 1
< 0.1%
2992 1
< 0.1%
2893 1
< 0.1%
2851 1
< 0.1%
2840 1
< 0.1%
2825 1
< 0.1%
2803 1
< 0.1%
2760 1
< 0.1%
2689 1
< 0.1%
2667 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1087
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.0167
Minimum9
Maximum2628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:39.857262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile62
Q1139.75
median217
Q3313
95-th percentile746.05
Maximum2628
Range2619
Interquartile range (IQR)173.25

Descriptive statistics

Standard deviation274.07153
Coefficient of variation (CV)0.96839348
Kurtosis15.780965
Mean283.0167
Median Absolute Deviation (MAD)83
Skewness3.4921374
Sum2830167
Variance75115.201
MonotonicityNot monotonic
2024-04-21T09:57:39.975478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222 53
 
0.5%
147 50
 
0.5%
230 48
 
0.5%
241 47
 
0.5%
195 46
 
0.5%
231 46
 
0.5%
221 43
 
0.4%
197 42
 
0.4%
199 41
 
0.4%
219 41
 
0.4%
Other values (1077) 9543
95.4%
ValueCountFrequency (%)
9 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
13 5
 
0.1%
14 7
0.1%
15 9
0.1%
16 5
 
0.1%
17 6
 
0.1%
18 15
0.1%
19 11
0.1%
ValueCountFrequency (%)
2628 1
< 0.1%
2611 1
< 0.1%
2569 1
< 0.1%
2550 1
< 0.1%
2433 1
< 0.1%
2416 1
< 0.1%
2401 1
< 0.1%
2342 1
< 0.1%
2230 1
< 0.1%
2220 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1147
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.4051
Minimum5
Maximum2718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:40.116046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile66
Q1152
median231
Q3341
95-th percentile796.05
Maximum2718
Range2713
Interquartile range (IQR)189

Descriptive statistics

Standard deviation284.75298
Coefficient of variation (CV)0.94162758
Kurtosis15.851258
Mean302.4051
Median Absolute Deviation (MAD)90
Skewness3.4359388
Sum3024051
Variance81084.261
MonotonicityNot monotonic
2024-04-21T09:57:40.259999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223 46
 
0.5%
229 45
 
0.4%
233 44
 
0.4%
163 42
 
0.4%
185 42
 
0.4%
210 41
 
0.4%
281 40
 
0.4%
220 39
 
0.4%
207 39
 
0.4%
183 39
 
0.4%
Other values (1137) 9583
95.8%
ValueCountFrequency (%)
5 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 3
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 4
< 0.1%
14 3
 
< 0.1%
15 5
0.1%
16 9
0.1%
ValueCountFrequency (%)
2718 1
< 0.1%
2537 1
< 0.1%
2526 1
< 0.1%
2458 1
< 0.1%
2433 1
< 0.1%
2411 1
< 0.1%
2408 1
< 0.1%
2395 1
< 0.1%
2349 1
< 0.1%
2332 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct1197
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.8849
Minimum5
Maximum4390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:40.378104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile66
Q1158
median245
Q3372
95-th percentile833.1
Maximum4390
Range4385
Interquartile range (IQR)214

Descriptive statistics

Standard deviation310.02785
Coefficient of variation (CV)0.95721613
Kurtosis18.537743
Mean323.8849
Median Absolute Deviation (MAD)100
Skewness3.5891191
Sum3238849
Variance96117.269
MonotonicityNot monotonic
2024-04-21T09:57:40.492878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197 43
 
0.4%
207 43
 
0.4%
220 42
 
0.4%
231 40
 
0.4%
216 40
 
0.4%
217 39
 
0.4%
223 38
 
0.4%
180 38
 
0.4%
143 38
 
0.4%
127 38
 
0.4%
Other values (1187) 9601
96.0%
ValueCountFrequency (%)
5 1
 
< 0.1%
8 5
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
12 5
0.1%
13 5
0.1%
14 8
0.1%
15 9
0.1%
16 4
< 0.1%
ValueCountFrequency (%)
4390 1
< 0.1%
3114 1
< 0.1%
3015 1
< 0.1%
2991 1
< 0.1%
2880 1
< 0.1%
2856 1
< 0.1%
2855 1
< 0.1%
2804 1
< 0.1%
2770 1
< 0.1%
2648 2
< 0.1%

17시-18시
Real number (ℝ)

Distinct1269
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.9741
Minimum4
Maximum5164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:40.612379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile71.95
Q1172
median265
Q3409
95-th percentile884
Maximum5164
Range5160
Interquartile range (IQR)237

Descriptive statistics

Standard deviation332.38614
Coefficient of variation (CV)0.94167289
Kurtosis18.744256
Mean352.9741
Median Absolute Deviation (MAD)109
Skewness3.5065976
Sum3529741
Variance110480.55
MonotonicityNot monotonic
2024-04-21T09:57:40.752156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241 47
 
0.5%
171 40
 
0.4%
185 38
 
0.4%
301 37
 
0.4%
235 36
 
0.4%
151 36
 
0.4%
163 35
 
0.4%
231 35
 
0.4%
230 35
 
0.4%
228 35
 
0.4%
Other values (1259) 9626
96.3%
ValueCountFrequency (%)
4 1
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 4
< 0.1%
14 5
0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
5164 1
< 0.1%
3807 1
< 0.1%
2992 1
< 0.1%
2948 1
< 0.1%
2927 1
< 0.1%
2917 1
< 0.1%
2863 1
< 0.1%
2849 1
< 0.1%
2780 1
< 0.1%
2743 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct1368
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.4594
Minimum2
Maximum3349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:40.868362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile61
Q1168
median280
Q3483
95-th percentile995.05
Maximum3349
Range3347
Interquartile range (IQR)315

Descriptive statistics

Standard deviation361.9457
Coefficient of variation (CV)0.94144063
Kurtosis11.203316
Mean384.4594
Median Absolute Deviation (MAD)141
Skewness2.8395303
Sum3844594
Variance131004.69
MonotonicityNot monotonic
2024-04-21T09:57:40.993587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239 36
 
0.4%
254 35
 
0.4%
218 32
 
0.3%
234 32
 
0.3%
175 31
 
0.3%
249 30
 
0.3%
115 30
 
0.3%
251 30
 
0.3%
176 30
 
0.3%
142 30
 
0.3%
Other values (1358) 9684
96.8%
ValueCountFrequency (%)
2 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
7 5
0.1%
8 2
 
< 0.1%
9 3
 
< 0.1%
10 3
 
< 0.1%
12 1
 
< 0.1%
13 10
0.1%
14 10
0.1%
ValueCountFrequency (%)
3349 1
< 0.1%
3054 1
< 0.1%
2887 1
< 0.1%
2876 1
< 0.1%
2825 1
< 0.1%
2787 1
< 0.1%
2771 1
< 0.1%
2766 1
< 0.1%
2757 1
< 0.1%
2697 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct880
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.9396
Minimum0
Maximum2383
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:41.135680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q190
median148
Q3258.25
95-th percentile514
Maximum2383
Range2383
Interquartile range (IQR)168.25

Descriptive statistics

Standard deviation220.78345
Coefficient of variation (CV)1.0566855
Kurtosis21.467899
Mean208.9396
Median Absolute Deviation (MAD)75
Skewness3.9369429
Sum2089396
Variance48745.333
MonotonicityNot monotonic
2024-04-21T09:57:41.265353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145 58
 
0.6%
106 56
 
0.6%
129 55
 
0.5%
95 55
 
0.5%
60 54
 
0.5%
108 53
 
0.5%
84 53
 
0.5%
66 52
 
0.5%
121 52
 
0.5%
100 51
 
0.5%
Other values (870) 9461
94.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
2 3
 
< 0.1%
3 8
0.1%
4 11
0.1%
5 7
0.1%
6 9
0.1%
7 11
0.1%
8 13
0.1%
9 7
0.1%
ValueCountFrequency (%)
2383 1
< 0.1%
2382 1
< 0.1%
2224 1
< 0.1%
2189 1
< 0.1%
2136 1
< 0.1%
2121 1
< 0.1%
2057 1
< 0.1%
2021 1
< 0.1%
2001 1
< 0.1%
1987 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct743
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.6386
Minimum0
Maximum3251
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:41.402508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q166
median112
Q3189
95-th percentile386
Maximum3251
Range3251
Interquartile range (IQR)123

Descriptive statistics

Standard deviation206.232
Coefficient of variation (CV)1.2838259
Kurtosis40.856639
Mean160.6386
Median Absolute Deviation (MAD)57
Skewness5.5701134
Sum1606386
Variance42531.637
MonotonicityNot monotonic
2024-04-21T09:57:41.522988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 81
 
0.8%
96 77
 
0.8%
64 76
 
0.8%
87 74
 
0.7%
60 73
 
0.7%
73 71
 
0.7%
82 70
 
0.7%
76 69
 
0.7%
68 69
 
0.7%
56 68
 
0.7%
Other values (733) 9272
92.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 2
 
< 0.1%
2 8
 
0.1%
3 9
 
0.1%
4 11
0.1%
5 14
0.1%
6 18
0.2%
7 23
0.2%
8 15
0.1%
9 23
0.2%
ValueCountFrequency (%)
3251 1
< 0.1%
2351 1
< 0.1%
2339 1
< 0.1%
2330 1
< 0.1%
2278 1
< 0.1%
2137 1
< 0.1%
2101 1
< 0.1%
2091 1
< 0.1%
2088 1
< 0.1%
2080 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct676
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.6952
Minimum1
Maximum6580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:41.652649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q155
median100
Q3171
95-th percentile335.05
Maximum6580
Range6579
Interquartile range (IQR)116

Descriptive statistics

Standard deviation190.30824
Coefficient of variation (CV)1.3430817
Kurtosis169.62954
Mean141.6952
Median Absolute Deviation (MAD)54
Skewness8.6914527
Sum1416952
Variance36217.225
MonotonicityNot monotonic
2024-04-21T09:57:41.806368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 80
 
0.8%
61 79
 
0.8%
41 79
 
0.8%
40 77
 
0.8%
76 75
 
0.8%
49 73
 
0.7%
63 73
 
0.7%
70 73
 
0.7%
55 69
 
0.7%
50 69
 
0.7%
Other values (666) 9253
92.5%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 11
 
0.1%
3 18
0.2%
4 15
0.1%
5 25
0.2%
6 21
0.2%
7 31
0.3%
8 17
0.2%
9 29
0.3%
10 27
0.3%
ValueCountFrequency (%)
6580 1
< 0.1%
3780 1
< 0.1%
1930 1
< 0.1%
1924 1
< 0.1%
1833 1
< 0.1%
1832 1
< 0.1%
1826 1
< 0.1%
1790 1
< 0.1%
1779 1
< 0.1%
1759 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct638
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.1513
Minimum0
Maximum1712
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:41.935043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q140
median79
Q3145
95-th percentile312
Maximum1712
Range1712
Interquartile range (IQR)105

Descriptive statistics

Standard deviation149.16973
Coefficient of variation (CV)1.2625314
Kurtosis31.083275
Mean118.1513
Median Absolute Deviation (MAD)47
Skewness4.7440261
Sum1181513
Variance22251.607
MonotonicityNot monotonic
2024-04-21T09:57:42.062972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 99
 
1.0%
38 95
 
0.9%
32 94
 
0.9%
30 93
 
0.9%
47 89
 
0.9%
46 89
 
0.9%
40 85
 
0.9%
42 85
 
0.9%
34 84
 
0.8%
31 84
 
0.8%
Other values (628) 9103
91.0%
ValueCountFrequency (%)
0 6
 
0.1%
1 16
 
0.2%
2 19
 
0.2%
3 25
 
0.2%
4 35
0.4%
5 33
0.3%
6 61
0.6%
7 47
0.5%
8 51
0.5%
9 69
0.7%
ValueCountFrequency (%)
1712 1
< 0.1%
1627 1
< 0.1%
1602 1
< 0.1%
1549 1
< 0.1%
1548 1
< 0.1%
1534 1
< 0.1%
1531 1
< 0.1%
1528 1
< 0.1%
1500 2
< 0.1%
1490 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct411
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.1459
Minimum0
Maximum901
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:42.411897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q118
median37
Q375
95-th percentile168
Maximum901
Range901
Interquartile range (IQR)57

Descriptive statistics

Standard deviation73.320507
Coefficient of variation (CV)1.2396549
Kurtosis29.608187
Mean59.1459
Median Absolute Deviation (MAD)25
Skewness4.3586855
Sum591459
Variance5375.8968
MonotonicityNot monotonic
2024-04-21T09:57:42.533710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 182
 
1.8%
8 179
 
1.8%
9 174
 
1.7%
18 171
 
1.7%
13 168
 
1.7%
15 167
 
1.7%
17 162
 
1.6%
10 161
 
1.6%
11 160
 
1.6%
14 157
 
1.6%
Other values (401) 8319
83.2%
ValueCountFrequency (%)
0 22
 
0.2%
1 46
 
0.5%
2 67
 
0.7%
3 91
0.9%
4 117
1.2%
5 155
1.6%
6 144
1.4%
7 157
1.6%
8 179
1.8%
9 174
1.7%
ValueCountFrequency (%)
901 1
< 0.1%
862 1
< 0.1%
860 1
< 0.1%
849 1
< 0.1%
848 1
< 0.1%
841 1
< 0.1%
835 1
< 0.1%
834 1
< 0.1%
815 1
< 0.1%
808 1
< 0.1%

일계
Real number (ℝ)

Distinct5683
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4226.2718
Minimum120
Maximum27829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T09:57:42.649287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile968.9
Q12188
median3429
Q34993.25
95-th percentile10087.65
Maximum27829
Range27709
Interquartile range (IQR)2805.25

Descriptive statistics

Standard deviation3467.3757
Coefficient of variation (CV)0.82043367
Kurtosis9.9174078
Mean4226.2718
Median Absolute Deviation (MAD)1352
Skewness2.721117
Sum42262718
Variance12022694
MonotonicityNot monotonic
2024-04-21T09:57:42.762013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2380 8
 
0.1%
2102 8
 
0.1%
2799 8
 
0.1%
2248 8
 
0.1%
4086 7
 
0.1%
4178 7
 
0.1%
2368 7
 
0.1%
2461 7
 
0.1%
2277 7
 
0.1%
4291 7
 
0.1%
Other values (5673) 9926
99.3%
ValueCountFrequency (%)
120 1
< 0.1%
126 1
< 0.1%
136 1
< 0.1%
161 1
< 0.1%
175 1
< 0.1%
179 1
< 0.1%
180 1
< 0.1%
188 1
< 0.1%
192 1
< 0.1%
193 1
< 0.1%
ValueCountFrequency (%)
27829 1
< 0.1%
27318 1
< 0.1%
26435 1
< 0.1%
26163 1
< 0.1%
26032 1
< 0.1%
25647 1
< 0.1%
25339 1
< 0.1%
25305 1
< 0.1%
25230 1
< 0.1%
24885 1
< 0.1%

Sample

역번호역명승하차05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시일계
7257293300남산하차1193448477664809213513011212910892646451321378
6058231410용계승차2940698113411114616119717610911712074486424891717
40971232300반월당2하차56112400186616931325146616161377131312261135131015925912731861656917771
20341121310중앙로승차5067112224163210371513667889126817401958196712101046109798651415052
135853162420정평하차451742361181411842352312723204445527163772472693032535027
159643293160칠곡운암승차6417249252131922721823920017318318522822796695840183729
56401313410용지승차406513919019616220019117717617414814617665542634122371
152963261190월배승차751385396633742823433212522152592622592521411051526974708
29951172250감삼하차31113212650441341300392370456452555558733324245211191696644
162113320건들바위승차1420202552475783776555346851343121258787
역번호역명승하차05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시일계
44531252260두류하차191302007404552903873524124064024425247213622511941741046565
153073261240대명하차154091377223162210210208253244286331411207148136110563718
1019162380대공원하차31162928242419251425211310151517123314
10887313250원대하차3441122168466748891889912715717477618056321729
159773293220공단하차87229722988416255423550466249241714831202
56061313240팔달시장승차297013620215916416720319618422922522323690603722102642
92622203320건들바위승차12441051579012312610211511611510210116753843331141690
7237293200매천시장하차11923365951848968657292718737375042351018
6812272230용산승차73212519855454397438437557514488510588697345203197119417644
80492141350동대구역하차626247231532131011861005115811451112109212421258154995659155225714217496