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

Numeric23
Text1
Categorical1

Dataset

Description대구교통공사의 역별 일별 시간별 수송인원현황(2017. 1. 1.~2017. 12. 31.)에 대한 데이터로 역별, 일자별, 시간대별로 승하차인원을 조회할 수 있는 자료입니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15099744/fileData.do

Alerts

05시-06시 has 434 (4.3%) zerosZeros

Reproduction

Analysis started2024-04-17 21:47:35.912093
Analysis finished2024-04-17 21:47:36.185240
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5213
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:36.230439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4426053
Coefficient of variation (CV)0.5279017
Kurtosis-1.2062781
Mean6.5213
Median Absolute Deviation (MAD)3
Skewness-0.003518734
Sum65213
Variance11.851531
MonotonicityNot monotonic
2024-04-18T06:47:36.318473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 871
8.7%
5 867
8.7%
10 855
8.6%
12 853
8.5%
7 852
8.5%
8 849
8.5%
1 832
8.3%
4 822
8.2%
9 817
8.2%
6 808
8.1%
Other values (2) 1574
15.7%
ValueCountFrequency (%)
1 832
8.3%
2 768
7.7%
3 871
8.7%
4 822
8.2%
5 867
8.7%
6 808
8.1%
7 852
8.5%
8 849
8.5%
9 817
8.2%
10 855
8.6%
ValueCountFrequency (%)
12 853
8.5%
11 806
8.1%
10 855
8.6%
9 817
8.2%
8 849
8.5%
7 852
8.5%
6 808
8.1%
5 867
8.7%
4 822
8.2%
3 871
8.7%


Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.685
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:36.890967image/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 deviation8.851136
Coefficient of variation (CV)0.56430577
Kurtosis-1.2051709
Mean15.685
Median Absolute Deviation (MAD)8
Skewness0.015517622
Sum156850
Variance78.342609
MonotonicityNot monotonic
2024-04-18T06:47:36.997522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4 366
 
3.7%
22 353
 
3.5%
10 351
 
3.5%
18 348
 
3.5%
20 341
 
3.4%
13 339
 
3.4%
11 338
 
3.4%
1 336
 
3.4%
5 336
 
3.4%
2 335
 
3.4%
Other values (21) 6557
65.6%
ValueCountFrequency (%)
1 336
3.4%
2 335
3.4%
3 325
3.2%
4 366
3.7%
5 336
3.4%
6 308
3.1%
7 330
3.3%
8 330
3.3%
9 312
3.1%
10 351
3.5%
ValueCountFrequency (%)
31 185
1.8%
30 334
3.3%
29 307
3.1%
28 329
3.3%
27 325
3.2%
26 320
3.2%
25 320
3.2%
24 314
3.1%
23 317
3.2%
22 353
3.5%

역번호
Real number (ℝ)

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2272.685
Minimum1150
Maximum3410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:37.118093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1150
5-th percentile1190
Q11370
median2300
Q33180
95-th percentile3370
Maximum3410
Range2260
Interquartile range (IQR)1810

Descriptive statistics

Standard deviation810.72997
Coefficient of variation (CV)0.35672782
Kurtosis-1.4815822
Mean2272.685
Median Absolute Deviation (MAD)910
Skewness0.00080915661
Sum22726850
Variance657283.09
MonotonicityNot monotonic
2024-04-18T06:47:37.244686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3170 138
 
1.4%
2370 137
 
1.4%
3260 135
 
1.4%
3220 132
 
1.3%
3160 130
 
1.3%
1380 130
 
1.3%
1180 129
 
1.3%
3150 129
 
1.3%
1220 127
 
1.3%
1190 127
 
1.3%
Other values (81) 8686
86.9%
ValueCountFrequency (%)
1150 107
1.1%
1160 116
1.2%
1170 116
1.2%
1180 129
1.3%
1190 127
1.3%
1200 127
1.3%
1210 120
1.2%
1220 127
1.3%
1230 104
1.0%
1240 96
1.0%
ValueCountFrequency (%)
3410 98
1.0%
3400 102
1.0%
3390 110
1.1%
3380 117
1.2%
3370 92
0.9%
3360 103
1.0%
3350 109
1.1%
3340 112
1.1%
3330 103
1.0%
3320 107
1.1%

역명
Text

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T06:47:37.521065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.7821
Min length2

Characters and Unicode

Total characters27821
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 row대공원
2nd row계명대
3rd row진천
4th row현충로
5th row내당
ValueCountFrequency (%)
구암 138
 
1.4%
연호 137
 
1.4%
북구청 135
 
1.4%
공단 132
 
1.3%
칠곡운암 130
 
1.3%
동촌 130
 
1.3%
진천 129
 
1.3%
동천 129
 
1.3%
송현 127
 
1.3%
월배 127
 
1.3%
Other values (81) 8686
86.9%
2024-04-18T06:47:37.931072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1591
 
5.7%
915
 
3.3%
753
 
2.7%
747
 
2.7%
741
 
2.7%
683
 
2.5%
638
 
2.3%
584
 
2.1%
568
 
2.0%
566
 
2.0%
Other values (103) 20035
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27165
97.6%
Decimal Number 656
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1591
 
5.9%
915
 
3.4%
753
 
2.8%
747
 
2.7%
741
 
2.7%
683
 
2.5%
638
 
2.3%
584
 
2.1%
568
 
2.1%
566
 
2.1%
Other values (100) 19379
71.3%
Decimal Number
ValueCountFrequency (%)
1 228
34.8%
3 220
33.5%
2 208
31.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27165
97.6%
Common 656
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1591
 
5.9%
915
 
3.4%
753
 
2.8%
747
 
2.7%
741
 
2.7%
683
 
2.5%
638
 
2.3%
584
 
2.1%
568
 
2.1%
566
 
2.1%
Other values (100) 19379
71.3%
Common
ValueCountFrequency (%)
1 228
34.8%
3 220
33.5%
2 208
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27165
97.6%
ASCII 656
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1591
 
5.9%
915
 
3.4%
753
 
2.8%
747
 
2.7%
741
 
2.7%
683
 
2.5%
638
 
2.3%
584
 
2.1%
568
 
2.1%
566
 
2.1%
Other values (100) 19379
71.3%
ASCII
ValueCountFrequency (%)
1 228
34.8%
3 220
33.5%
2 208
31.7%

승하
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5004 
하차
4996 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5004
50.0%
하차 4996
50.0%

Length

2024-04-18T06:47:38.049216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:47:38.128685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5004
50.0%
하차 4996
50.0%

05시-06시
Real number (ℝ)

ZEROS 

Distinct195
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.4086
Minimum0
Maximum1294
Zeros434
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:38.218141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median19
Q346
95-th percentile93
Maximum1294
Range1294
Interquartile range (IQR)40

Descriptive statistics

Standard deviation35.930323
Coefficient of variation (CV)1.1815843
Kurtosis194.46694
Mean30.4086
Median Absolute Deviation (MAD)16
Skewness7.3632999
Sum304086
Variance1290.9881
MonotonicityNot monotonic
2024-04-18T06:47:38.337794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 528
 
5.3%
2 453
 
4.5%
0 434
 
4.3%
3 394
 
3.9%
4 359
 
3.6%
5 276
 
2.8%
6 273
 
2.7%
8 208
 
2.1%
10 207
 
2.1%
7 205
 
2.1%
Other values (185) 6663
66.6%
ValueCountFrequency (%)
0 434
4.3%
1 528
5.3%
2 453
4.5%
3 394
3.9%
4 359
3.6%
5 276
2.8%
6 273
2.7%
7 205
 
2.1%
8 208
 
2.1%
9 196
 
2.0%
ValueCountFrequency (%)
1294 1
< 0.1%
909 1
< 0.1%
473 1
< 0.1%
398 1
< 0.1%
370 1
< 0.1%
280 1
< 0.1%
276 1
< 0.1%
274 1
< 0.1%
263 1
< 0.1%
256 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct373
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.4258
Minimum0
Maximum1050
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:38.458374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q142
median77
Q3133
95-th percentile223
Maximum1050
Range1050
Interquartile range (IQR)91

Descriptive statistics

Standard deviation69.679552
Coefficient of variation (CV)0.73792917
Kurtosis7.8940318
Mean94.4258
Median Absolute Deviation (MAD)41
Skewness1.7344937
Sum944258
Variance4855.24
MonotonicityNot monotonic
2024-04-18T06:47:38.569965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 101
 
1.0%
45 97
 
1.0%
41 96
 
1.0%
34 94
 
0.9%
29 93
 
0.9%
46 92
 
0.9%
73 90
 
0.9%
57 89
 
0.9%
56 88
 
0.9%
27 88
 
0.9%
Other values (363) 9072
90.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 6
 
0.1%
3 8
 
0.1%
4 20
0.2%
5 13
0.1%
6 16
0.2%
7 23
0.2%
8 30
0.3%
9 24
0.2%
ValueCountFrequency (%)
1050 1
< 0.1%
699 1
< 0.1%
696 1
< 0.1%
666 1
< 0.1%
661 1
< 0.1%
643 1
< 0.1%
593 1
< 0.1%
539 1
< 0.1%
514 1
< 0.1%
511 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct988
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.879
Minimum2
Maximum1554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:38.691123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile30
Q177
median166
Q3343
95-th percentile674
Maximum1554
Range1552
Interquartile range (IQR)266

Descriptive statistics

Standard deviation222.24803
Coefficient of variation (CV)0.9188397
Kurtosis3.2583651
Mean241.879
Median Absolute Deviation (MAD)109
Skewness1.6393271
Sum2418790
Variance49394.186
MonotonicityNot monotonic
2024-04-18T06:47:38.807308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 62
 
0.6%
47 57
 
0.6%
44 55
 
0.5%
34 55
 
0.5%
40 54
 
0.5%
59 52
 
0.5%
41 50
 
0.5%
37 50
 
0.5%
69 49
 
0.5%
45 48
 
0.5%
Other values (978) 9468
94.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 6
0.1%
5 6
0.1%
6 9
0.1%
7 4
 
< 0.1%
8 8
0.1%
9 10
0.1%
10 9
0.1%
11 13
0.1%
ValueCountFrequency (%)
1554 1
< 0.1%
1512 1
< 0.1%
1507 1
< 0.1%
1473 1
< 0.1%
1451 1
< 0.1%
1447 1
< 0.1%
1443 1
< 0.1%
1442 1
< 0.1%
1439 1
< 0.1%
1433 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct1339
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.1415
Minimum1
Maximum2928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:38.966865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47
Q1139
median271
Q3510
95-th percentile968.05
Maximum2928
Range2927
Interquartile range (IQR)371

Descriptive statistics

Standard deviation348.12516
Coefficient of variation (CV)0.93046389
Kurtosis7.0888048
Mean374.1415
Median Absolute Deviation (MAD)161
Skewness2.2372909
Sum3741415
Variance121191.12
MonotonicityNot monotonic
2024-04-18T06:47:39.088631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218 37
 
0.4%
75 37
 
0.4%
160 33
 
0.3%
68 32
 
0.3%
87 32
 
0.3%
53 32
 
0.3%
82 31
 
0.3%
150 31
 
0.3%
78 30
 
0.3%
147 30
 
0.3%
Other values (1329) 9675
96.8%
ValueCountFrequency (%)
1 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 4
< 0.1%
9 1
 
< 0.1%
10 3
< 0.1%
11 4
< 0.1%
12 7
0.1%
13 5
0.1%
ValueCountFrequency (%)
2928 1
< 0.1%
2773 1
< 0.1%
2755 1
< 0.1%
2745 1
< 0.1%
2735 1
< 0.1%
2670 1
< 0.1%
2649 1
< 0.1%
2581 1
< 0.1%
2573 1
< 0.1%
2570 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct1075
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.6981
Minimum2
Maximum2259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:39.207704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile45
Q1119
median219
Q3361
95-th percentile731
Maximum2259
Range2257
Interquartile range (IQR)242

Descriptive statistics

Standard deviation255.03398
Coefficient of variation (CV)0.89896259
Kurtosis10.586595
Mean283.6981
Median Absolute Deviation (MAD)115
Skewness2.6844909
Sum2836981
Variance65042.331
MonotonicityNot monotonic
2024-04-18T06:47:39.317673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 43
 
0.4%
117 41
 
0.4%
131 41
 
0.4%
127 40
 
0.4%
103 38
 
0.4%
108 37
 
0.4%
98 36
 
0.4%
203 36
 
0.4%
110 36
 
0.4%
85 36
 
0.4%
Other values (1065) 9616
96.2%
ValueCountFrequency (%)
2 1
 
< 0.1%
4 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 5
0.1%
9 6
0.1%
10 3
 
< 0.1%
11 6
0.1%
12 7
0.1%
13 10
0.1%
ValueCountFrequency (%)
2259 1
< 0.1%
2116 1
< 0.1%
2079 2
< 0.1%
2075 1
< 0.1%
2008 1
< 0.1%
1990 2
< 0.1%
1959 1
< 0.1%
1951 1
< 0.1%
1950 1
< 0.1%
1933 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct965
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.5248
Minimum1
Maximum2077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:39.457453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42
Q1109
median187
Q3292
95-th percentile612
Maximum2077
Range2076
Interquartile range (IQR)183

Descriptive statistics

Standard deviation217.59701
Coefficient of variation (CV)0.90467598
Kurtosis12.567427
Mean240.5248
Median Absolute Deviation (MAD)87
Skewness2.9813765
Sum2405248
Variance47348.459
MonotonicityNot monotonic
2024-04-18T06:47:39.589124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 49
 
0.5%
139 48
 
0.5%
87 45
 
0.4%
94 44
 
0.4%
123 44
 
0.4%
71 43
 
0.4%
158 42
 
0.4%
190 42
 
0.4%
234 41
 
0.4%
214 41
 
0.4%
Other values (955) 9561
95.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 5
0.1%
9 6
0.1%
10 7
0.1%
11 12
0.1%
ValueCountFrequency (%)
2077 1
< 0.1%
1955 1
< 0.1%
1882 1
< 0.1%
1824 1
< 0.1%
1786 1
< 0.1%
1751 1
< 0.1%
1745 1
< 0.1%
1742 1
< 0.1%
1732 1
< 0.1%
1717 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1017
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.1396
Minimum1
Maximum2469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:39.728977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46
Q1117
median198
Q3313
95-th percentile676.05
Maximum2469
Range2468
Interquartile range (IQR)196

Descriptive statistics

Standard deviation243.43967
Coefficient of variation (CV)0.93941517
Kurtosis17.085229
Mean259.1396
Median Absolute Deviation (MAD)92
Skewness3.3736311
Sum2591396
Variance59262.874
MonotonicityNot monotonic
2024-04-18T06:47:39.861544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140 54
 
0.5%
104 47
 
0.5%
103 46
 
0.5%
127 45
 
0.4%
128 43
 
0.4%
145 42
 
0.4%
151 41
 
0.4%
107 41
 
0.4%
152 41
 
0.4%
99 40
 
0.4%
Other values (1007) 9560
95.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 4
< 0.1%
8 6
0.1%
9 4
< 0.1%
10 8
0.1%
11 9
0.1%
12 8
0.1%
ValueCountFrequency (%)
2469 1
< 0.1%
2431 1
< 0.1%
2417 1
< 0.1%
2382 1
< 0.1%
2305 1
< 0.1%
2304 1
< 0.1%
2284 1
< 0.1%
2239 1
< 0.1%
2234 1
< 0.1%
2202 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1102
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.1207
Minimum0
Maximum3578
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:39.978184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52
Q1127
median216.5
Q3342
95-th percentile717.05
Maximum3578
Range3578
Interquartile range (IQR)215

Descriptive statistics

Standard deviation287.59603
Coefficient of variation (CV)1.0051563
Kurtosis24.954893
Mean286.1207
Median Absolute Deviation (MAD)99.5
Skewness4.0663895
Sum2861207
Variance82711.477
MonotonicityNot monotonic
2024-04-18T06:47:40.093249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117 45
 
0.4%
122 44
 
0.4%
162 43
 
0.4%
207 41
 
0.4%
113 39
 
0.4%
137 39
 
0.4%
115 39
 
0.4%
94 38
 
0.4%
153 37
 
0.4%
216 37
 
0.4%
Other values (1092) 9598
96.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
10 3
 
< 0.1%
11 3
 
< 0.1%
12 16
0.2%
13 8
0.1%
ValueCountFrequency (%)
3578 1
< 0.1%
3405 1
< 0.1%
3393 1
< 0.1%
3194 1
< 0.1%
3179 1
< 0.1%
3161 1
< 0.1%
3133 1
< 0.1%
3047 1
< 0.1%
2957 1
< 0.1%
2883 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1137
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304.3099
Minimum0
Maximum5035
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:40.223389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q1139
median231
Q3348.25
95-th percentile782.1
Maximum5035
Range5035
Interquartile range (IQR)209.25

Descriptive statistics

Standard deviation315.87529
Coefficient of variation (CV)1.0380053
Kurtosis34.740203
Mean304.3099
Median Absolute Deviation (MAD)100
Skewness4.6751175
Sum3043099
Variance99777.202
MonotonicityNot monotonic
2024-04-18T06:47:40.354937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 49
 
0.5%
132 47
 
0.5%
105 41
 
0.4%
109 40
 
0.4%
151 38
 
0.4%
218 38
 
0.4%
124 37
 
0.4%
194 37
 
0.4%
234 37
 
0.4%
129 37
 
0.4%
Other values (1127) 9599
96.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
12 5
0.1%
13 7
0.1%
14 4
< 0.1%
15 6
0.1%
16 7
0.1%
ValueCountFrequency (%)
5035 1
< 0.1%
4189 1
< 0.1%
4103 1
< 0.1%
3971 1
< 0.1%
3705 1
< 0.1%
3602 1
< 0.1%
3580 1
< 0.1%
3500 1
< 0.1%
3427 1
< 0.1%
3388 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1159
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.6513
Minimum0
Maximum4348
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:40.472032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59
Q1135
median226
Q3336.25
95-th percentile820.05
Maximum4348
Range4348
Interquartile range (IQR)201.25

Descriptive statistics

Standard deviation317.64793
Coefficient of variation (CV)1.0530302
Kurtosis24.432059
Mean301.6513
Median Absolute Deviation (MAD)98
Skewness4.1128606
Sum3016513
Variance100900.21
MonotonicityNot monotonic
2024-04-18T06:47:40.586660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117 46
 
0.5%
114 44
 
0.4%
233 44
 
0.4%
251 42
 
0.4%
105 41
 
0.4%
154 41
 
0.4%
231 41
 
0.4%
149 40
 
0.4%
116 39
 
0.4%
110 39
 
0.4%
Other values (1149) 9583
95.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
3 1
 
< 0.1%
10 3
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 7
0.1%
14 9
0.1%
15 4
 
< 0.1%
16 15
0.1%
17 9
0.1%
ValueCountFrequency (%)
4348 1
< 0.1%
3783 1
< 0.1%
3323 1
< 0.1%
3319 1
< 0.1%
3281 1
< 0.1%
3202 1
< 0.1%
3187 1
< 0.1%
3160 1
< 0.1%
3109 1
< 0.1%
3065 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1208
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.1726
Minimum0
Maximum3634
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:40.695144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61
Q1145
median243
Q3359
95-th percentile853
Maximum3634
Range3634
Interquartile range (IQR)214

Descriptive statistics

Standard deviation324.09821
Coefficient of variation (CV)1.0091091
Kurtosis18.933218
Mean321.1726
Median Absolute Deviation (MAD)103
Skewness3.7029594
Sum3211726
Variance105039.65
MonotonicityNot monotonic
2024-04-18T06:47:40.826524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 44
 
0.4%
145 40
 
0.4%
117 40
 
0.4%
276 39
 
0.4%
245 39
 
0.4%
247 38
 
0.4%
154 37
 
0.4%
260 37
 
0.4%
215 37
 
0.4%
107 37
 
0.4%
Other values (1198) 9612
96.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
5 1
 
< 0.1%
7 2
 
< 0.1%
10 3
 
< 0.1%
11 4
< 0.1%
12 1
 
< 0.1%
13 5
0.1%
14 4
< 0.1%
15 5
0.1%
16 9
0.1%
ValueCountFrequency (%)
3634 1
< 0.1%
3134 1
< 0.1%
3087 1
< 0.1%
3062 1
< 0.1%
3030 1
< 0.1%
3028 1
< 0.1%
2991 1
< 0.1%
2949 1
< 0.1%
2904 1
< 0.1%
2804 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct1254
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348.0167
Minimum0
Maximum3525
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:40.954313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65
Q1158
median266
Q3397
95-th percentile901
Maximum3525
Range3525
Interquartile range (IQR)239

Descriptive statistics

Standard deviation346.56858
Coefficient of variation (CV)0.99583892
Kurtosis19.472904
Mean348.0167
Median Absolute Deviation (MAD)117
Skewness3.7225028
Sum3480167
Variance120109.78
MonotonicityNot monotonic
2024-04-18T06:47:41.091296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163 40
 
0.4%
136 39
 
0.4%
183 37
 
0.4%
164 36
 
0.4%
170 35
 
0.4%
161 35
 
0.4%
146 33
 
0.3%
168 32
 
0.3%
248 32
 
0.3%
149 32
 
0.3%
Other values (1244) 9649
96.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
10 4
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 3
< 0.1%
14 1
 
< 0.1%
15 5
0.1%
16 6
0.1%
ValueCountFrequency (%)
3525 1
< 0.1%
3496 1
< 0.1%
3421 1
< 0.1%
3406 1
< 0.1%
3386 1
< 0.1%
3332 1
< 0.1%
3324 1
< 0.1%
3316 1
< 0.1%
3222 1
< 0.1%
3170 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct1324
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.4662
Minimum5
Maximum4121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:41.237546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile70
Q1177
median290
Q3440
95-th percentile955.05
Maximum4121
Range4116
Interquartile range (IQR)263

Descriptive statistics

Standard deviation381.68633
Coefficient of variation (CV)0.99276953
Kurtosis19.87847
Mean384.4662
Median Absolute Deviation (MAD)126
Skewness3.7318252
Sum3844662
Variance145684.45
MonotonicityNot monotonic
2024-04-18T06:47:41.353724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159 37
 
0.4%
167 37
 
0.4%
163 36
 
0.4%
232 35
 
0.4%
189 33
 
0.3%
255 33
 
0.3%
177 32
 
0.3%
298 32
 
0.3%
169 32
 
0.3%
180 31
 
0.3%
Other values (1314) 9662
96.6%
ValueCountFrequency (%)
5 1
 
< 0.1%
7 2
< 0.1%
8 4
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 3
< 0.1%
14 2
< 0.1%
15 2
< 0.1%
17 2
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
4121 1
< 0.1%
4115 1
< 0.1%
3921 1
< 0.1%
3714 1
< 0.1%
3702 1
< 0.1%
3678 1
< 0.1%
3671 1
< 0.1%
3636 1
< 0.1%
3603 1
< 0.1%
3555 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct1506
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.9045
Minimum2
Maximum3946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:41.468591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile72
Q1193
median332
Q3553
95-th percentile1142.05
Maximum3946
Range3944
Interquartile range (IQR)360

Descriptive statistics

Standard deviation430.84181
Coefficient of variation (CV)0.96190552
Kurtosis13.187688
Mean447.9045
Median Absolute Deviation (MAD)164
Skewness3.0863774
Sum4479045
Variance185624.66
MonotonicityNot monotonic
2024-04-18T06:47:41.587262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186 40
 
0.4%
295 32
 
0.3%
167 32
 
0.3%
313 28
 
0.3%
190 28
 
0.3%
334 27
 
0.3%
279 26
 
0.3%
179 26
 
0.3%
145 26
 
0.3%
301 26
 
0.3%
Other values (1496) 9709
97.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 2
< 0.1%
10 1
 
< 0.1%
11 2
< 0.1%
13 2
< 0.1%
14 3
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
3946 1
< 0.1%
3749 1
< 0.1%
3693 1
< 0.1%
3679 1
< 0.1%
3635 1
< 0.1%
3439 1
< 0.1%
3437 1
< 0.1%
3396 1
< 0.1%
3377 1
< 0.1%
3264 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct1119
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.2745
Minimum2
Maximum3357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:41.731641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile44.95
Q1118
median211
Q3359
95-th percentile736.05
Maximum3357
Range3355
Interquartile range (IQR)241

Descriptive statistics

Standard deviation308.55284
Coefficient of variation (CV)1.0593198
Kurtosis20.588008
Mean291.2745
Median Absolute Deviation (MAD)107
Skewness3.8087746
Sum2912745
Variance95204.857
MonotonicityNot monotonic
2024-04-18T06:47:41.857764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 47
 
0.5%
111 43
 
0.4%
107 40
 
0.4%
223 39
 
0.4%
91 39
 
0.4%
218 38
 
0.4%
109 38
 
0.4%
93 37
 
0.4%
146 37
 
0.4%
96 37
 
0.4%
Other values (1109) 9605
96.0%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 2
 
< 0.1%
4 5
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 7
0.1%
8 3
< 0.1%
9 5
0.1%
10 5
0.1%
11 4
< 0.1%
ValueCountFrequency (%)
3357 1
< 0.1%
3290 1
< 0.1%
3119 1
< 0.1%
3117 1
< 0.1%
3051 1
< 0.1%
2861 1
< 0.1%
2783 1
< 0.1%
2756 1
< 0.1%
2741 1
< 0.1%
2677 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct925
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.7965
Minimum1
Maximum4158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:41.999586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.95
Q184
median148
Q3251
95-th percentile553.05
Maximum4158
Range4157
Interquartile range (IQR)167

Descriptive statistics

Standard deviation264.93703
Coefficient of variation (CV)1.2392019
Kurtosis37.997808
Mean213.7965
Median Absolute Deviation (MAD)78
Skewness5.204773
Sum2137965
Variance70191.63
MonotonicityNot monotonic
2024-04-18T06:47:42.111782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 63
 
0.6%
59 60
 
0.6%
115 58
 
0.6%
116 55
 
0.5%
65 54
 
0.5%
60 52
 
0.5%
51 52
 
0.5%
120 50
 
0.5%
99 50
 
0.5%
50 50
 
0.5%
Other values (915) 9456
94.6%
ValueCountFrequency (%)
1 3
 
< 0.1%
2 5
 
0.1%
3 4
 
< 0.1%
4 8
0.1%
5 10
0.1%
6 13
0.1%
7 8
0.1%
8 15
0.1%
9 19
0.2%
10 15
0.1%
ValueCountFrequency (%)
4158 1
< 0.1%
3223 1
< 0.1%
2889 1
< 0.1%
2857 1
< 0.1%
2807 1
< 0.1%
2770 1
< 0.1%
2744 1
< 0.1%
2723 1
< 0.1%
2677 1
< 0.1%
2665 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct834
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.9646
Minimum0
Maximum4503
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:42.714738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q173
median142
Q3241
95-th percentile478
Maximum4503
Range4503
Interquartile range (IQR)168

Descriptive statistics

Standard deviation267.90421
Coefficient of variation (CV)1.3397582
Kurtosis51.125102
Mean199.9646
Median Absolute Deviation (MAD)80
Skewness6.1279427
Sum1999646
Variance71772.665
MonotonicityNot monotonic
2024-04-18T06:47:42.819704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 56
 
0.6%
113 56
 
0.6%
43 54
 
0.5%
48 54
 
0.5%
60 53
 
0.5%
44 53
 
0.5%
45 52
 
0.5%
98 52
 
0.5%
63 51
 
0.5%
73 51
 
0.5%
Other values (824) 9468
94.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 15
0.1%
3 2
 
< 0.1%
4 12
0.1%
5 8
 
0.1%
6 14
0.1%
7 16
0.2%
8 23
0.2%
9 20
0.2%
ValueCountFrequency (%)
4503 1
< 0.1%
4344 1
< 0.1%
2972 1
< 0.1%
2806 1
< 0.1%
2799 1
< 0.1%
2761 1
< 0.1%
2744 1
< 0.1%
2740 1
< 0.1%
2723 1
< 0.1%
2712 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct801
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.3064
Minimum1
Maximum4153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:42.960956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q156
median122
Q3213
95-th percentile469.05
Maximum4153
Range4152
Interquartile range (IQR)157

Descriptive statistics

Standard deviation227.44492
Coefficient of variation (CV)1.304857
Kurtosis46.993343
Mean174.3064
Median Absolute Deviation (MAD)74
Skewness5.6135107
Sum1743064
Variance51731.191
MonotonicityNot monotonic
2024-04-18T06:47:43.085532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 69
 
0.7%
37 64
 
0.6%
42 64
 
0.6%
57 63
 
0.6%
28 62
 
0.6%
47 61
 
0.6%
27 60
 
0.6%
39 60
 
0.6%
29 58
 
0.6%
43 57
 
0.6%
Other values (791) 9382
93.8%
ValueCountFrequency (%)
1 6
 
0.1%
2 7
 
0.1%
3 17
0.2%
4 11
 
0.1%
5 22
0.2%
6 29
0.3%
7 32
0.3%
8 28
0.3%
9 34
0.3%
10 36
0.4%
ValueCountFrequency (%)
4153 1
< 0.1%
2904 1
< 0.1%
2775 1
< 0.1%
2511 1
< 0.1%
2450 1
< 0.1%
2444 1
< 0.1%
2433 1
< 0.1%
2430 1
< 0.1%
2419 1
< 0.1%
2406 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct524
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.7688
Minimum0
Maximum3125
Zeros30
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:43.219188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q125
median58
Q3119
95-th percentile246
Maximum3125
Range3125
Interquartile range (IQR)94

Descriptive statistics

Standard deviation117.04401
Coefficient of variation (CV)1.3038384
Kurtosis114.56578
Mean89.7688
Median Absolute Deviation (MAD)40
Skewness7.1798451
Sum897688
Variance13699.3
MonotonicityNot monotonic
2024-04-18T06:47:43.329244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 140
 
1.4%
15 137
 
1.4%
11 136
 
1.4%
17 128
 
1.3%
22 124
 
1.2%
12 120
 
1.2%
16 120
 
1.2%
23 119
 
1.2%
10 115
 
1.1%
13 114
 
1.1%
Other values (514) 8747
87.5%
ValueCountFrequency (%)
0 30
 
0.3%
1 56
0.6%
2 68
0.7%
3 78
0.8%
4 79
0.8%
5 70
0.7%
6 70
0.7%
7 76
0.8%
8 87
0.9%
9 95
0.9%
ValueCountFrequency (%)
3125 1
< 0.1%
2866 1
< 0.1%
2465 1
< 0.1%
1636 1
< 0.1%
1406 1
< 0.1%
1200 1
< 0.1%
1171 1
< 0.1%
1169 1
< 0.1%
1159 1
< 0.1%
1148 1
< 0.1%

일계
Real number (ℝ)

Distinct6058
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4886.9701
Minimum118
Maximum40936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:47:43.440917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum118
5-th percentile969.9
Q12332
median3992
Q35855
95-th percentile12054
Maximum40936
Range40818
Interquartile range (IQR)3523

Descriptive statistics

Standard deviation4162.1293
Coefficient of variation (CV)0.8516789
Kurtosis10.949099
Mean4886.9701
Median Absolute Deviation (MAD)1710
Skewness2.8000162
Sum48869701
Variance17323321
MonotonicityNot monotonic
2024-04-18T06:47:43.565762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4900 8
 
0.1%
1593 7
 
0.1%
2038 7
 
0.1%
4906 7
 
0.1%
2001 7
 
0.1%
4543 6
 
0.1%
2549 6
 
0.1%
2397 6
 
0.1%
2463 6
 
0.1%
2690 6
 
0.1%
Other values (6048) 9934
99.3%
ValueCountFrequency (%)
118 1
< 0.1%
148 1
< 0.1%
164 1
< 0.1%
193 1
< 0.1%
196 1
< 0.1%
198 2
< 0.1%
217 1
< 0.1%
227 1
< 0.1%
233 1
< 0.1%
245 1
< 0.1%
ValueCountFrequency (%)
40936 1
< 0.1%
34157 1
< 0.1%
33484 1
< 0.1%
31492 1
< 0.1%
31280 1
< 0.1%
31166 1
< 0.1%
31098 1
< 0.1%
31093 1
< 0.1%
30878 1
< 0.1%
30694 1
< 0.1%

Sample

역번호역명승하05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시일계
310486202380대공원승차41828553636332740202947596034618116567
492139282200계명대하차4239792213871384649643052545234847153271452232333240426610547
129293131180진천하차11322644362962342752823283114994736758457204524954572387413
356957161260현충로하차1263567710813910395153147163201216230210217172139882589
5141010102270내당승차9717855262940929432027728425222725827745921813310988405101
363167192330범어승차5112839146934735053750651948357465374315245724293484561279207
6038111283200매천시장하차1089427656374349496947815077482619248900
250935183300남산하차474484792224190156157208155184182254364250152149127784184
436778283400범물하차244671742381991792002473032833933754924172482121821414396
186304132170다사승차271153643322001431081141231021191771862248256662182567
역번호역명승하05시-06시06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시일계
44642931410용계승차1835426510411410913618916312312210811195805528111708
5273010173170구암승차28892752531662032362132192082022492982031371269291273315
409608141200상인승차142301880120182173074474378778375680570491558456643442321112530
484439241300반월당1하차6821422933673374384991697810948818356675843542611721157310102
16623421450각산하차12625781441171871481851532592513142882692192311931503238
17227452430임당하차05828742424414914411212182149150203313211155144184963226
427178233150동천하차316418648527267928795176214272229115118122931998
255385211440반야월승차354850821611411721752181371451431339071965854132022
569311193240팔달시장하차1276137206143153156144156171182221201213125668862392551
152213252410사월하차158971371501521841832712602592693533542812402672381853939