Overview

Dataset statistics

Number of variables28
Number of observations1364
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory331.8 KiB
Average record size in memory249.1 B

Variable types

DateTime1
Numeric22
Categorical5

Dataset

Description시간대별 승하차인원을 보여주는 서비스로 역별, 시간대별 수송인원을 조회할 수 있다(월단위 대전도시철도 시간대별 각 역 승차인원, 하차인원 제공 자료임)
Author대전교통공사
URLhttps://www.data.go.kr/data/15060591/fileData.do

Alerts

02-03시 has constant value ""Constant
03-04시 is highly imbalanced (98.4%)Imbalance
01-02시 is highly imbalanced (98.0%)Imbalance
04-05시 has 1197 (87.8%) zerosZeros
00-01시 has 673 (49.3%) zerosZeros

Reproduction

Analysis started2024-04-06 08:52:41.554640
Analysis finished2024-04-06 08:52:42.094366
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct31
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
Minimum2024-03-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-06T17:52:42.237891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:52:42.654813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

역번호
Real number (ℝ)

Distinct22
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1111.5
Minimum1101
Maximum1122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:42.932247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101
5-th percentile1102
Q11106
median1111.5
Q31117
95-th percentile1121
Maximum1122
Range21
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.3466157
Coefficient of variation (CV)0.0057099556
Kurtosis-1.2049859
Mean1111.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum1516086
Variance40.27953
MonotonicityNot monotonic
2024-04-06T17:52:43.221460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1101 62
 
4.5%
1113 62
 
4.5%
1122 62
 
4.5%
1121 62
 
4.5%
1120 62
 
4.5%
1119 62
 
4.5%
1118 62
 
4.5%
1117 62
 
4.5%
1116 62
 
4.5%
1115 62
 
4.5%
Other values (12) 744
54.5%
ValueCountFrequency (%)
1101 62
4.5%
1102 62
4.5%
1103 62
4.5%
1104 62
4.5%
1105 62
4.5%
1106 62
4.5%
1107 62
4.5%
1108 62
4.5%
1109 62
4.5%
1110 62
4.5%
ValueCountFrequency (%)
1122 62
4.5%
1121 62
4.5%
1120 62
4.5%
1119 62
4.5%
1118 62
4.5%
1117 62
4.5%
1116 62
4.5%
1115 62
4.5%
1114 62
4.5%
1113 62
4.5%

역명
Categorical

Distinct22
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
판암
 
62
신흥
 
62
대동
 
62
대전
 
62
중앙로
 
62
Other values (17)
1054 

Length

Max length6
Median length2
Mean length2.6818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row판암
2nd row판암
3rd row신흥
4th row신흥
5th row대동

Common Values

ValueCountFrequency (%)
판암 62
 
4.5%
신흥 62
 
4.5%
대동 62
 
4.5%
대전 62
 
4.5%
중앙로 62
 
4.5%
중구청 62
 
4.5%
서대전네거리 62
 
4.5%
오룡 62
 
4.5%
용문 62
 
4.5%
탄방 62
 
4.5%
Other values (12) 744
54.5%

Length

2024-04-06T17:52:43.532488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
판암 62
 
4.5%
신흥 62
 
4.5%
지족 62
 
4.5%
노은 62
 
4.5%
월드컵경기장 62
 
4.5%
현충원 62
 
4.5%
구암 62
 
4.5%
유성온천 62
 
4.5%
갑천 62
 
4.5%
월평 62
 
4.5%
Other values (12) 744
54.5%

구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
승차
682 
하차
682 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 682
50.0%
하차 682
50.0%

Length

2024-04-06T17:52:43.860207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:44.144926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 682
50.0%
하차 682
50.0%

03-04시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1362 
6
 
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 1362
99.9%
6 2
 
0.1%

Length

2024-04-06T17:52:44.410563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:44.633519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1362
99.9%
6 2
 
0.1%

04-05시
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41935484
Minimum0
Maximum11
Zeros1197
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:44.827402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4526342
Coefficient of variation (CV)3.4639738
Kurtosis19.049906
Mean0.41935484
Median Absolute Deviation (MAD)0
Skewness4.2305229
Sum572
Variance2.110146
MonotonicityNot monotonic
2024-04-06T17:52:45.051192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1197
87.8%
1 63
 
4.6%
2 20
 
1.5%
6 18
 
1.3%
5 17
 
1.2%
4 16
 
1.2%
3 13
 
1.0%
8 9
 
0.7%
10 4
 
0.3%
7 3
 
0.2%
Other values (2) 4
 
0.3%
ValueCountFrequency (%)
0 1197
87.8%
1 63
 
4.6%
2 20
 
1.5%
3 13
 
1.0%
4 16
 
1.2%
5 17
 
1.2%
6 18
 
1.3%
7 3
 
0.2%
8 9
 
0.7%
9 2
 
0.1%
ValueCountFrequency (%)
11 2
 
0.1%
10 4
 
0.3%
9 2
 
0.1%
8 9
0.7%
7 3
 
0.2%
6 18
1.3%
5 17
1.2%
4 16
1.2%
3 13
1.0%
2 20
1.5%

05-06시
Real number (ℝ)

Distinct121
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.274927
Minimum0
Maximum173
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:45.331065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median26
Q352
95-th percentile95.85
Maximum173
Range173
Interquartile range (IQR)39

Descriptive statistics

Standard deviation28.374525
Coefficient of variation (CV)0.80438224
Kurtosis0.73282579
Mean35.274927
Median Absolute Deviation (MAD)15
Skewness1.1315497
Sum48115
Variance805.11365
MonotonicityNot monotonic
2024-04-06T17:52:45.646726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 58
 
4.3%
13 45
 
3.3%
14 45
 
3.3%
10 42
 
3.1%
9 41
 
3.0%
12 40
 
2.9%
15 34
 
2.5%
16 33
 
2.4%
5 28
 
2.1%
27 27
 
2.0%
Other values (111) 971
71.2%
ValueCountFrequency (%)
0 1
 
0.1%
1 2
 
0.1%
2 12
 
0.9%
3 12
 
0.9%
4 15
 
1.1%
5 28
2.1%
6 24
1.8%
7 26
1.9%
8 25
1.8%
9 41
3.0%
ValueCountFrequency (%)
173 1
0.1%
155 1
0.1%
147 1
0.1%
140 1
0.1%
123 1
0.1%
120 1
0.1%
117 1
0.1%
115 2
0.1%
114 2
0.1%
113 1
0.1%

06-07시
Real number (ℝ)

Distinct235
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.807185
Minimum3
Maximum483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:45.999298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q135
median58
Q3104
95-th percentile195.85
Maximum483
Range480
Interquartile range (IQR)69

Descriptive statistics

Standard deviation63.883275
Coefficient of variation (CV)0.81062755
Kurtosis5.9922566
Mean78.807185
Median Absolute Deviation (MAD)28
Skewness1.9892096
Sum107493
Variance4081.0728
MonotonicityNot monotonic
2024-04-06T17:52:46.344884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 25
 
1.8%
32 25
 
1.8%
38 25
 
1.8%
30 23
 
1.7%
28 22
 
1.6%
34 22
 
1.6%
39 21
 
1.5%
31 19
 
1.4%
45 18
 
1.3%
47 17
 
1.2%
Other values (225) 1147
84.1%
ValueCountFrequency (%)
3 1
 
0.1%
4 1
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
7 3
 
0.2%
8 4
 
0.3%
9 3
 
0.2%
10 9
0.7%
11 7
0.5%
12 12
0.9%
ValueCountFrequency (%)
483 1
0.1%
477 1
0.1%
476 1
0.1%
473 1
0.1%
357 1
0.1%
345 1
0.1%
344 1
0.1%
337 1
0.1%
325 1
0.1%
324 2
0.1%

07-08시
Real number (ℝ)

Distinct490
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.94868
Minimum7
Maximum1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:46.633263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile28.15
Q177
median150
Q3279.25
95-th percentile591.4
Maximum1018
Range1011
Interquartile range (IQR)202.25

Descriptive statistics

Standard deviation189.51129
Coefficient of variation (CV)0.88165832
Kurtosis2.375508
Mean214.94868
Median Absolute Deviation (MAD)94
Skewness1.5508794
Sum293190
Variance35914.53
MonotonicityNot monotonic
2024-04-06T17:52:46.970898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 12
 
0.9%
44 11
 
0.8%
136 10
 
0.7%
53 10
 
0.7%
141 10
 
0.7%
107 10
 
0.7%
43 10
 
0.7%
45 9
 
0.7%
99 9
 
0.7%
182 9
 
0.7%
Other values (480) 1264
92.7%
ValueCountFrequency (%)
7 1
 
0.1%
8 1
 
0.1%
9 2
 
0.1%
10 2
 
0.1%
12 2
 
0.1%
13 3
0.2%
14 5
0.4%
15 4
0.3%
16 2
 
0.1%
17 2
 
0.1%
ValueCountFrequency (%)
1018 1
0.1%
1014 1
0.1%
981 1
0.1%
964 2
0.1%
955 1
0.1%
940 1
0.1%
939 1
0.1%
927 1
0.1%
925 1
0.1%
923 1
0.1%

08-09시
Real number (ℝ)

Distinct723
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.77126
Minimum11
Maximum2512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:47.300793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile54
Q1143
median321.5
Q3602
95-th percentile1309.95
Maximum2512
Range2501
Interquartile range (IQR)459

Descriptive statistics

Standard deviation430.29266
Coefficient of variation (CV)0.9566922
Kurtosis5.6821534
Mean449.77126
Median Absolute Deviation (MAD)208.5
Skewness2.1104498
Sum613488
Variance185151.77
MonotonicityNot monotonic
2024-04-06T17:52:47.673025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 8
 
0.6%
82 7
 
0.5%
78 7
 
0.5%
89 7
 
0.5%
128 7
 
0.5%
84 6
 
0.4%
32 6
 
0.4%
253 6
 
0.4%
118 6
 
0.4%
246 6
 
0.4%
Other values (713) 1298
95.2%
ValueCountFrequency (%)
11 1
 
0.1%
18 1
 
0.1%
19 1
 
0.1%
20 1
 
0.1%
22 1
 
0.1%
23 1
 
0.1%
24 4
0.3%
25 1
 
0.1%
27 1
 
0.1%
28 3
0.2%
ValueCountFrequency (%)
2512 1
0.1%
2485 1
0.1%
2484 1
0.1%
2482 1
0.1%
2441 1
0.1%
2434 1
0.1%
2430 1
0.1%
2418 1
0.1%
2413 1
0.1%
2392 1
0.1%

09-10시
Real number (ℝ)

Distinct507
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.66276
Minimum22
Maximum855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:48.058463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile46
Q1123
median213
Q3308.25
95-th percentile660.85
Maximum855
Range833
Interquartile range (IQR)185.25

Descriptive statistics

Standard deviation172.50437
Coefficient of variation (CV)0.69372822
Kurtosis1.0286655
Mean248.66276
Median Absolute Deviation (MAD)92.5
Skewness1.2383531
Sum339176
Variance29757.759
MonotonicityNot monotonic
2024-04-06T17:52:48.432376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135 12
 
0.9%
109 12
 
0.9%
127 9
 
0.7%
141 9
 
0.7%
224 8
 
0.6%
256 8
 
0.6%
219 8
 
0.6%
111 7
 
0.5%
275 7
 
0.5%
115 7
 
0.5%
Other values (497) 1277
93.6%
ValueCountFrequency (%)
22 2
0.1%
23 2
0.1%
24 2
0.1%
25 1
 
0.1%
26 2
0.1%
27 1
 
0.1%
28 4
0.3%
29 1
 
0.1%
31 2
0.1%
32 1
 
0.1%
ValueCountFrequency (%)
855 1
0.1%
847 1
0.1%
841 1
0.1%
777 1
0.1%
753 1
0.1%
751 2
0.1%
740 1
0.1%
738 1
0.1%
737 1
0.1%
736 1
0.1%

10-11시
Real number (ℝ)

Distinct456
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.01686
Minimum22
Maximum1157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:48.822521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile49
Q1109
median172
Q3270.25
95-th percentile499
Maximum1157
Range1135
Interquartile range (IQR)161.25

Descriptive statistics

Standard deviation149.09315
Coefficient of variation (CV)0.70654613
Kurtosis5.4483536
Mean211.01686
Median Absolute Deviation (MAD)74
Skewness1.8883183
Sum287827
Variance22228.766
MonotonicityNot monotonic
2024-04-06T17:52:49.241174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192 11
 
0.8%
144 11
 
0.8%
110 11
 
0.8%
90 10
 
0.7%
117 10
 
0.7%
104 10
 
0.7%
86 10
 
0.7%
173 10
 
0.7%
180 9
 
0.7%
143 9
 
0.7%
Other values (446) 1263
92.6%
ValueCountFrequency (%)
22 1
 
0.1%
23 1
 
0.1%
24 1
 
0.1%
27 1
 
0.1%
29 1
 
0.1%
30 2
0.1%
31 2
0.1%
32 1
 
0.1%
33 3
0.2%
34 3
0.2%
ValueCountFrequency (%)
1157 1
0.1%
1130 1
0.1%
1091 1
0.1%
1054 1
0.1%
898 1
0.1%
839 1
0.1%
823 1
0.1%
821 1
0.1%
799 1
0.1%
783 1
0.1%

11-12시
Real number (ℝ)

Distinct481
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.59384
Minimum21
Maximum1207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:49.564360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile52
Q1121
median179
Q3300
95-th percentile549
Maximum1207
Range1186
Interquartile range (IQR)179

Descriptive statistics

Standard deviation164.87502
Coefficient of variation (CV)0.71811603
Kurtosis4.9184427
Mean229.59384
Median Absolute Deviation (MAD)78
Skewness1.8522701
Sum313166
Variance27183.772
MonotonicityNot monotonic
2024-04-06T17:52:49.896811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142 11
 
0.8%
204 11
 
0.8%
127 10
 
0.7%
159 10
 
0.7%
152 10
 
0.7%
124 9
 
0.7%
114 9
 
0.7%
161 9
 
0.7%
123 9
 
0.7%
143 9
 
0.7%
Other values (471) 1267
92.9%
ValueCountFrequency (%)
21 1
 
0.1%
28 1
 
0.1%
29 1
 
0.1%
30 1
 
0.1%
31 1
 
0.1%
33 4
0.3%
34 4
0.3%
35 4
0.3%
36 2
0.1%
37 2
0.1%
ValueCountFrequency (%)
1207 1
0.1%
1173 1
0.1%
1154 1
0.1%
1145 1
0.1%
1003 1
0.1%
956 1
0.1%
952 1
0.1%
894 1
0.1%
892 1
0.1%
888 1
0.1%

12-13시
Real number (ℝ)

Distinct487
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.31818
Minimum25
Maximum1124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:50.222441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile58
Q1129
median196
Q3307
95-th percentile618.4
Maximum1124
Range1099
Interquartile range (IQR)178

Descriptive statistics

Standard deviation167.64129
Coefficient of variation (CV)0.68897971
Kurtosis3.575263
Mean243.31818
Median Absolute Deviation (MAD)83
Skewness1.7085808
Sum331886
Variance28103.602
MonotonicityNot monotonic
2024-04-06T17:52:50.596426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188 11
 
0.8%
182 10
 
0.7%
193 9
 
0.7%
324 9
 
0.7%
150 9
 
0.7%
190 9
 
0.7%
183 9
 
0.7%
195 9
 
0.7%
126 9
 
0.7%
173 9
 
0.7%
Other values (477) 1271
93.2%
ValueCountFrequency (%)
25 1
 
0.1%
28 1
 
0.1%
30 1
 
0.1%
32 2
0.1%
33 1
 
0.1%
34 2
0.1%
36 3
0.2%
37 3
0.2%
38 2
0.1%
39 1
 
0.1%
ValueCountFrequency (%)
1124 1
0.1%
1031 1
0.1%
972 1
0.1%
971 1
0.1%
960 1
0.1%
953 1
0.1%
952 1
0.1%
947 1
0.1%
939 1
0.1%
910 1
0.1%

13-14시
Real number (ℝ)

Distinct496
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.53226
Minimum24
Maximum1450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:51.350055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile61.15
Q1139.75
median208
Q3329
95-th percentile616.25
Maximum1450
Range1426
Interquartile range (IQR)189.25

Descriptive statistics

Standard deviation174.6778
Coefficient of variation (CV)0.68358413
Kurtosis4.7394625
Mean255.53226
Median Absolute Deviation (MAD)90
Skewness1.784363
Sum348546
Variance30512.333
MonotonicityNot monotonic
2024-04-06T17:52:51.664211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141 11
 
0.8%
206 10
 
0.7%
186 10
 
0.7%
226 9
 
0.7%
203 9
 
0.7%
325 9
 
0.7%
176 8
 
0.6%
139 8
 
0.6%
190 8
 
0.6%
195 8
 
0.6%
Other values (486) 1274
93.4%
ValueCountFrequency (%)
24 1
 
0.1%
25 1
 
0.1%
26 1
 
0.1%
32 1
 
0.1%
34 2
0.1%
36 3
0.2%
39 1
 
0.1%
40 1
 
0.1%
41 2
0.1%
42 1
 
0.1%
ValueCountFrequency (%)
1450 1
0.1%
1119 1
0.1%
1088 1
0.1%
1075 1
0.1%
1038 1
0.1%
1013 1
0.1%
990 1
0.1%
976 1
0.1%
964 1
0.1%
959 1
0.1%

14-15시
Real number (ℝ)

Distinct503
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.65836
Minimum26
Maximum1097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:52.059251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile57
Q1130
median199
Q3321.25
95-th percentile615
Maximum1097
Range1071
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation172.55675
Coefficient of variation (CV)0.69675319
Kurtosis3.0057395
Mean247.65836
Median Absolute Deviation (MAD)91
Skewness1.5772601
Sum337806
Variance29775.832
MonotonicityNot monotonic
2024-04-06T17:52:52.404832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191 12
 
0.9%
179 11
 
0.8%
143 10
 
0.7%
186 10
 
0.7%
85 8
 
0.6%
61 8
 
0.6%
183 8
 
0.6%
153 8
 
0.6%
150 8
 
0.6%
165 8
 
0.6%
Other values (493) 1273
93.3%
ValueCountFrequency (%)
26 1
 
0.1%
30 1
 
0.1%
32 2
0.1%
33 1
 
0.1%
34 1
 
0.1%
35 1
 
0.1%
37 1
 
0.1%
38 1
 
0.1%
39 3
0.2%
40 3
0.2%
ValueCountFrequency (%)
1097 1
0.1%
1032 1
0.1%
1027 1
0.1%
1016 1
0.1%
971 1
0.1%
966 1
0.1%
916 1
0.1%
912 1
0.1%
904 1
0.1%
899 1
0.1%

15-16시
Real number (ℝ)

Distinct535
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.94941
Minimum27
Maximum1174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:52.813818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile58
Q1147.5
median232
Q3358.25
95-th percentile675.7
Maximum1174
Range1147
Interquartile range (IQR)210.75

Descriptive statistics

Standard deviation189.71643
Coefficient of variation (CV)0.68502197
Kurtosis3.2018773
Mean276.94941
Median Absolute Deviation (MAD)102
Skewness1.5686464
Sum377759
Variance35992.325
MonotonicityNot monotonic
2024-04-06T17:52:53.168481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164 10
 
0.7%
163 9
 
0.7%
154 8
 
0.6%
50 8
 
0.6%
248 8
 
0.6%
187 8
 
0.6%
148 8
 
0.6%
363 8
 
0.6%
292 7
 
0.5%
111 7
 
0.5%
Other values (525) 1283
94.1%
ValueCountFrequency (%)
27 1
 
0.1%
33 1
 
0.1%
34 3
0.2%
35 3
0.2%
36 1
 
0.1%
37 2
0.1%
38 1
 
0.1%
39 2
0.1%
40 1
 
0.1%
41 2
0.1%
ValueCountFrequency (%)
1174 1
0.1%
1166 1
0.1%
1128 1
0.1%
1090 1
0.1%
1088 1
0.1%
1084 1
0.1%
1070 1
0.1%
1059 1
0.1%
1040 1
0.1%
1031 1
0.1%

16-17시
Real number (ℝ)

Distinct591
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.96481
Minimum33
Maximum2385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:53.512432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile69
Q1169.75
median270
Q3426.25
95-th percentile766.7
Maximum2385
Range2352
Interquartile range (IQR)256.5

Descriptive statistics

Standard deviation220.30531
Coefficient of variation (CV)0.68213411
Kurtosis7.1308512
Mean322.96481
Median Absolute Deviation (MAD)122
Skewness1.7820434
Sum440524
Variance48534.43
MonotonicityNot monotonic
2024-04-06T17:52:53.870725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 10
 
0.7%
267 9
 
0.7%
247 9
 
0.7%
270 9
 
0.7%
263 8
 
0.6%
207 7
 
0.5%
188 7
 
0.5%
350 7
 
0.5%
243 7
 
0.5%
245 7
 
0.5%
Other values (581) 1284
94.1%
ValueCountFrequency (%)
33 2
0.1%
36 1
 
0.1%
37 1
 
0.1%
42 1
 
0.1%
43 2
0.1%
45 1
 
0.1%
47 1
 
0.1%
49 4
0.3%
50 4
0.3%
51 3
0.2%
ValueCountFrequency (%)
2385 1
0.1%
1315 1
0.1%
1300 1
0.1%
1294 1
0.1%
1232 1
0.1%
1204 1
0.1%
1158 1
0.1%
1133 1
0.1%
1119 1
0.1%
1109 1
0.1%

17-18시
Real number (ℝ)

Distinct631
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.12097
Minimum28
Maximum1240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:54.202238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile83
Q1187
median304
Q3474.75
95-th percentile863
Maximum1240
Range1212
Interquartile range (IQR)287.75

Descriptive statistics

Standard deviation241.72063
Coefficient of variation (CV)0.66022067
Kurtosis0.66068496
Mean366.12097
Median Absolute Deviation (MAD)141
Skewness1.0791939
Sum499389
Variance58428.864
MonotonicityNot monotonic
2024-04-06T17:52:54.523406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139 8
 
0.6%
254 8
 
0.6%
404 7
 
0.5%
176 7
 
0.5%
357 7
 
0.5%
329 6
 
0.4%
158 6
 
0.4%
75 6
 
0.4%
414 6
 
0.4%
145 6
 
0.4%
Other values (621) 1297
95.1%
ValueCountFrequency (%)
28 1
 
0.1%
31 1
 
0.1%
37 1
 
0.1%
38 1
 
0.1%
39 1
 
0.1%
41 3
0.2%
42 1
 
0.1%
45 1
 
0.1%
47 1
 
0.1%
48 3
0.2%
ValueCountFrequency (%)
1240 1
0.1%
1206 1
0.1%
1199 1
0.1%
1182 1
0.1%
1177 1
0.1%
1170 2
0.1%
1165 1
0.1%
1138 1
0.1%
1137 1
0.1%
1135 1
0.1%

18-19시
Real number (ℝ)

Distinct755
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.52933
Minimum31
Maximum1968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:54.828679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile80
Q1198
median365.5
Q3647
95-th percentile1280.8
Maximum1968
Range1937
Interquartile range (IQR)449

Descriptive statistics

Standard deviation375.2528
Coefficient of variation (CV)0.78747054
Kurtosis1.8419816
Mean476.52933
Median Absolute Deviation (MAD)204.5
Skewness1.4075926
Sum649986
Variance140814.67
MonotonicityNot monotonic
2024-04-06T17:52:55.132911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335 9
 
0.7%
252 7
 
0.5%
103 7
 
0.5%
266 7
 
0.5%
187 6
 
0.4%
227 6
 
0.4%
157 6
 
0.4%
233 6
 
0.4%
133 6
 
0.4%
231 6
 
0.4%
Other values (745) 1298
95.2%
ValueCountFrequency (%)
31 2
0.1%
33 1
0.1%
38 2
0.1%
39 1
0.1%
40 1
0.1%
41 1
0.1%
42 2
0.1%
45 1
0.1%
46 2
0.1%
47 1
0.1%
ValueCountFrequency (%)
1968 1
0.1%
1859 1
0.1%
1848 1
0.1%
1815 1
0.1%
1814 1
0.1%
1795 1
0.1%
1791 1
0.1%
1782 1
0.1%
1775 1
0.1%
1760 2
0.1%

19-20시
Real number (ℝ)

Distinct486
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.57845
Minimum19
Maximum1112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:55.580142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile47
Q1108
median194.5
Q3308.75
95-th percentile549.55
Maximum1112
Range1093
Interquartile range (IQR)200.75

Descriptive statistics

Standard deviation164.64806
Coefficient of variation (CV)0.71406529
Kurtosis2.2747374
Mean230.57845
Median Absolute Deviation (MAD)91.5
Skewness1.3902455
Sum314509
Variance27108.985
MonotonicityNot monotonic
2024-04-06T17:52:55.891813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 10
 
0.7%
128 10
 
0.7%
111 10
 
0.7%
87 10
 
0.7%
123 9
 
0.7%
104 9
 
0.7%
113 9
 
0.7%
99 9
 
0.7%
107 9
 
0.7%
100 8
 
0.6%
Other values (476) 1271
93.2%
ValueCountFrequency (%)
19 1
 
0.1%
20 1
 
0.1%
21 2
0.1%
24 2
0.1%
25 2
0.1%
26 2
0.1%
27 4
0.3%
28 1
 
0.1%
29 2
0.1%
30 1
 
0.1%
ValueCountFrequency (%)
1112 1
0.1%
951 1
0.1%
909 1
0.1%
891 1
0.1%
883 1
0.1%
876 1
0.1%
867 2
0.1%
865 1
0.1%
860 1
0.1%
855 1
0.1%

20-21시
Real number (ℝ)

Distinct422
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.23534
Minimum11
Maximum1083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:56.231921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile38
Q183
median147.5
Q3227
95-th percentile450.85
Maximum1083
Range1072
Interquartile range (IQR)144

Descriptive statistics

Standard deviation137.73166
Coefficient of variation (CV)0.76417678
Kurtosis6.3271775
Mean180.23534
Median Absolute Deviation (MAD)68.5
Skewness1.9490414
Sum245841
Variance18970.01
MonotonicityNot monotonic
2024-04-06T17:52:56.560722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 16
 
1.2%
89 14
 
1.0%
76 14
 
1.0%
75 14
 
1.0%
83 12
 
0.9%
79 11
 
0.8%
94 11
 
0.8%
63 11
 
0.8%
178 10
 
0.7%
154 10
 
0.7%
Other values (412) 1241
91.0%
ValueCountFrequency (%)
11 1
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
18 4
0.3%
20 3
0.2%
21 2
0.1%
22 3
0.2%
23 2
0.1%
24 4
0.3%
25 4
0.3%
ValueCountFrequency (%)
1083 1
0.1%
1079 1
0.1%
1034 1
0.1%
1031 1
0.1%
925 1
0.1%
896 1
0.1%
818 1
0.1%
765 1
0.1%
708 1
0.1%
688 1
0.1%

21-22시
Real number (ℝ)

Distinct408
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.23094
Minimum8
Maximum1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:56.864279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile29
Q175
median138.5
Q3219
95-th percentile439.55
Maximum1041
Range1033
Interquartile range (IQR)144

Descriptive statistics

Standard deviation134.56395
Coefficient of variation (CV)0.78586238
Kurtosis5.5193934
Mean171.23094
Median Absolute Deviation (MAD)66.5
Skewness1.8758447
Sum233559
Variance18107.457
MonotonicityNot monotonic
2024-04-06T17:52:57.277961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 17
 
1.2%
74 13
 
1.0%
104 12
 
0.9%
73 12
 
0.9%
63 12
 
0.9%
55 11
 
0.8%
69 11
 
0.8%
86 11
 
0.8%
59 11
 
0.8%
82 11
 
0.8%
Other values (398) 1243
91.1%
ValueCountFrequency (%)
8 3
0.2%
9 1
 
0.1%
10 2
 
0.1%
11 5
0.4%
12 3
0.2%
13 2
 
0.1%
14 6
0.4%
15 6
0.4%
16 5
0.4%
17 4
0.3%
ValueCountFrequency (%)
1041 1
0.1%
1007 1
0.1%
986 1
0.1%
977 1
0.1%
836 1
0.1%
813 1
0.1%
712 1
0.1%
697 1
0.1%
693 1
0.1%
663 1
0.1%

22-23시
Real number (ℝ)

Distinct358
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.20601
Minimum2
Maximum874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:57.591775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q151
median101
Q3171
95-th percentile377.85
Maximum874
Range872
Interquartile range (IQR)120

Descriptive statistics

Standard deviation114.9454
Coefficient of variation (CV)0.87606806
Kurtosis6.1102932
Mean131.20601
Median Absolute Deviation (MAD)57
Skewness2.0719077
Sum178965
Variance13212.444
MonotonicityNot monotonic
2024-04-06T17:52:57.917376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 16
 
1.2%
34 14
 
1.0%
15 14
 
1.0%
101 13
 
1.0%
43 13
 
1.0%
103 13
 
1.0%
38 13
 
1.0%
48 13
 
1.0%
32 12
 
0.9%
37 12
 
0.9%
Other values (348) 1231
90.2%
ValueCountFrequency (%)
2 1
 
0.1%
3 1
 
0.1%
4 2
 
0.1%
5 4
 
0.3%
6 2
 
0.1%
7 6
0.4%
8 1
 
0.1%
9 11
0.8%
10 5
0.4%
11 5
0.4%
ValueCountFrequency (%)
874 1
0.1%
853 1
0.1%
808 1
0.1%
802 1
0.1%
658 1
0.1%
592 1
0.1%
591 1
0.1%
573 1
0.1%
571 1
0.1%
564 1
0.1%

23-00시
Real number (ℝ)

Distinct218
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.390029
Minimum0
Maximum410
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:58.201046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q126
median53
Q396
95-th percentile181
Maximum410
Range410
Interquartile range (IQR)70

Descriptive statistics

Standard deviation56.732608
Coefficient of variation (CV)0.82954501
Kurtosis3.1844776
Mean68.390029
Median Absolute Deviation (MAD)32
Skewness1.5062387
Sum93284
Variance3218.5888
MonotonicityNot monotonic
2024-04-06T17:52:58.550164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 22
 
1.6%
6 19
 
1.4%
35 19
 
1.4%
29 18
 
1.3%
32 17
 
1.2%
5 17
 
1.2%
23 17
 
1.2%
41 16
 
1.2%
28 16
 
1.2%
8 16
 
1.2%
Other values (208) 1187
87.0%
ValueCountFrequency (%)
0 1
 
0.1%
1 6
 
0.4%
2 11
0.8%
3 11
0.8%
4 13
1.0%
5 17
1.2%
6 19
1.4%
7 15
1.1%
8 16
1.2%
9 12
0.9%
ValueCountFrequency (%)
410 1
0.1%
373 1
0.1%
349 1
0.1%
340 1
0.1%
300 1
0.1%
288 1
0.1%
280 1
0.1%
278 1
0.1%
276 1
0.1%
269 1
0.1%

00-01시
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6722874
Minimum0
Maximum57
Zeros673
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-04-06T17:52:58.873087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum57
Range57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.6814715
Coefficient of variation (CV)1.8580774
Kurtosis7.4317587
Mean4.6722874
Median Absolute Deviation (MAD)1
Skewness2.6491205
Sum6373
Variance75.367948
MonotonicityNot monotonic
2024-04-06T17:52:59.182070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 673
49.3%
1 125
 
9.2%
2 77
 
5.6%
3 65
 
4.8%
4 50
 
3.7%
5 44
 
3.2%
7 39
 
2.9%
8 32
 
2.3%
6 30
 
2.2%
9 26
 
1.9%
Other values (38) 203
 
14.9%
ValueCountFrequency (%)
0 673
49.3%
1 125
 
9.2%
2 77
 
5.6%
3 65
 
4.8%
4 50
 
3.7%
5 44
 
3.2%
6 30
 
2.2%
7 39
 
2.9%
8 32
 
2.3%
9 26
 
1.9%
ValueCountFrequency (%)
57 1
 
0.1%
51 2
0.1%
49 2
0.1%
48 1
 
0.1%
43 3
0.2%
42 2
0.1%
41 2
0.1%
40 1
 
0.1%
39 2
0.1%
38 2
0.1%

01-02시
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1360 
5
 
2
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 1360
99.7%
5 2
 
0.1%
1 2
 
0.1%

Length

2024-04-06T17:53:00.016079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:00.446172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1360
99.7%
5 2
 
0.1%
1 2
 
0.1%

02-03시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1364 

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 1364
100.0%

Length

2024-04-06T17:53:00.698096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:00.940355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1364
100.0%

Sample

날짜역번호역명구분03-04시04-05시05-06시06-07시07-08시08-09시09-10시10-11시11-12시12-13시13-14시14-15시15-16시16-17시17-18시18-19시19-20시20-21시21-22시22-23시23-00시00-01시01-02시02-03시
02024-03-011101판암승차025473114182224192218223223210167167209141888647259000
12024-03-011101판암하차001028627410390114131132135178212239154150130170136632100
22024-03-011102신흥승차00293255826865757777705060655429271495000
32024-03-011102신흥하차005202229422243423648749685804863606941500
42024-03-011103대동승차00456210014016021723018118516118915920519212076685328000
52024-03-011103대동하차00142555155656287110961131441561761971481161611541151300
62024-03-011104대전승차0021751502724717996508186678381000924884683604591429393205000
72024-03-011104대전하차008828045060973583989472890077086666260257642637323910440200
82024-03-011105중앙로승차0524255362116144217234397505796840830813722558539262148600
92024-03-011105중앙로하차051224581643065157238468468567376326705193601931527434900
날짜역번호역명구분03-04시04-05시05-06시06-07시07-08시08-09시09-10시10-11시11-12시12-13시13-14시14-15시15-16시16-17시17-18시18-19시19-20시20-21시21-22시22-23시23-00시00-01시01-02시02-03시
13542024-03-311118현충원승차00101439888411913718915813716214516295977643124000
13552024-03-311118현충원하차0061637698510913480678365102145839078885931200
13562024-03-311119월드컵경기장승차00102353841171241141351201281181059980824844193000
13572024-03-311119월드컵경기장하차00212545285818975759588961149111588796448900
13582024-03-311120노은승차00233252108147148160261200176189164214192133110916233000
13592024-03-311120노은하차00718197612310814815019923320926322826714815612710155700
13602024-03-311121지족승차002024376077931231031298193687862495037918700
13612024-03-311121지족하차0083018396178455573801049813513366728876361300
13622024-03-311122반석승차00328711822730332836033331730326227029322720318014311448000
13632024-03-311122반석하차00294575118183162180195259281304360469346291266266159801700