Overview

Dataset statistics

Number of variables23
Number of observations2880
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory573.9 KiB
Average record size in memory204.0 B

Variable types

Categorical2
Text1
Numeric20

Dataset

Description시내버스 노선별 시간대별 (월단위) 승하차 정보입니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15064798/fileData.do

Alerts

05시 has 347 (12.0%) zerosZeros
06시 has 167 (5.8%) zerosZeros
07시 has 59 (2.0%) zerosZeros
08시 has 46 (1.6%) zerosZeros
10시 has 90 (3.1%) zerosZeros
11시 has 91 (3.2%) zerosZeros
12시 has 105 (3.6%) zerosZeros
13시 has 92 (3.2%) zerosZeros
14시 has 93 (3.2%) zerosZeros
15시 has 116 (4.0%) zerosZeros
16시 has 94 (3.3%) zerosZeros
17시 has 128 (4.4%) zerosZeros
18시 has 104 (3.6%) zerosZeros
19시 has 150 (5.2%) zerosZeros
20시 has 166 (5.8%) zerosZeros
21시 has 193 (6.7%) zerosZeros
22시 has 229 (8.0%) zerosZeros
23시 has 619 (21.5%) zerosZeros

Reproduction

Analysis started2023-12-12 07:23:50.262682
Analysis finished2023-12-12 07:23:50.639676
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Categorical

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
2019-04
246 
2019-05
242 
2019-06
242 
2019-07
242 
2019-08
242 
Other values (7)
1666 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01
2nd row2019-01
3rd row2019-01
4th row2019-01
5th row2019-01

Common Values

ValueCountFrequency (%)
2019-04 246
8.5%
2019-05 242
8.4%
2019-06 242
8.4%
2019-07 242
8.4%
2019-08 242
8.4%
2019-09 242
8.4%
2019-10 242
8.4%
2019-11 242
8.4%
2019-12 242
8.4%
2019-03 234
8.1%
Other values (2) 464
16.1%

Length

2023-12-12T16:23:50.708459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-04 246
8.5%
2019-05 242
8.4%
2019-06 242
8.4%
2019-07 242
8.4%
2019-08 242
8.4%
2019-09 242
8.4%
2019-10 242
8.4%
2019-11 242
8.4%
2019-12 242
8.4%
2019-03 234
8.1%
Other values (2) 464
16.1%

노선
Text

Distinct124
Distinct (%)4.3%
Missing2
Missing (%)0.1%
Memory size22.6 KiB
2023-12-12T16:23:51.058528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3189715
Min length3

Characters and Unicode

Total characters9552
Distinct characters35
Distinct categories5 ?
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 row101
2nd row101
3rd row101-1
4th row101-1
5th row156
ValueCountFrequency (%)
101 24
 
0.8%
101-1 24
 
0.8%
동구4-1 24
 
0.8%
동구4 24
 
0.8%
동구3 24
 
0.8%
동구2 24
 
0.8%
동구1-1 24
 
0.8%
동구1 24
 
0.8%
달성7 24
 
0.8%
달성6 24
 
0.8%
Other values (114) 2638
91.7%
2023-12-12T16:23:51.621234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1182
 
12.4%
3 786
 
8.2%
0 768
 
8.0%
4 756
 
7.9%
5 604
 
6.3%
2 570
 
6.0%
6 456
 
4.8%
성 424
 
4.4%
구 402
 
4.2%
- 384
 
4.0%
Other values (25) 3220
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6144
64.3%
Other Letter 2976
31.2%
Dash Punctuation 384
 
4.0%
Close Punctuation 24
 
0.3%
Open Punctuation 24
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 424
14.2%
구 402
13.5%
달 304
10.2%
서 264
8.9%
동 210
 
7.1%
급 192
 
6.5%
행 192
 
6.5%
수 144
 
4.8%
곡 138
 
4.6%
칠 138
 
4.6%
Other values (12) 568
19.1%
Decimal Number
ValueCountFrequency (%)
1 1182
19.2%
3 786
12.8%
0 768
12.5%
4 756
12.3%
5 604
9.8%
2 570
9.3%
6 456
 
7.4%
8 362
 
5.9%
9 360
 
5.9%
7 300
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6576
68.8%
Hangul 2976
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 424
14.2%
구 402
13.5%
달 304
10.2%
서 264
8.9%
동 210
 
7.1%
급 192
 
6.5%
행 192
 
6.5%
수 144
 
4.8%
곡 138
 
4.6%
칠 138
 
4.6%
Other values (12) 568
19.1%
Common
ValueCountFrequency (%)
1 1182
18.0%
3 786
12.0%
0 768
11.7%
4 756
11.5%
5 604
9.2%
2 570
8.7%
6 456
 
6.9%
- 384
 
5.8%
8 362
 
5.5%
9 360
 
5.5%
Other values (3) 348
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6576
68.8%
Hangul 2976
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1182
18.0%
3 786
12.0%
0 768
11.7%
4 756
11.5%
5 604
9.2%
2 570
8.7%
6 456
 
6.9%
- 384
 
5.8%
8 362
 
5.5%
9 360
 
5.5%
Other values (3) 348
 
5.3%
Hangul
ValueCountFrequency (%)
성 424
14.2%
구 402
13.5%
달 304
10.2%
서 264
8.9%
동 210
 
7.1%
급 192
 
6.5%
행 192
 
6.5%
수 144
 
4.8%
곡 138
 
4.6%
칠 138
 
4.6%
Other values (12) 568
19.1%

구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
승차
1440 
하차
1440 

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 1440
50.0%
하차 1440
50.0%

Length

2023-12-12T16:23:51.772512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:23:51.878322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 1440
50.0%
하차 1440
50.0%

05시
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.155208
Minimum0
Maximum209
Zeros347
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:51.996987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q336
95-th percentile102
Maximum209
Range209
Interquartile range (IQR)32

Descriptive statistics

Standard deviation34.838972
Coefficient of variation (CV)1.2829573
Kurtosis4.4394849
Mean27.155208
Median Absolute Deviation (MAD)12
Skewness2.041114
Sum78207
Variance1213.7539
MonotonicityNot monotonic
2023-12-12T16:23:52.153318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
12.0%
1 155
 
5.4%
2 107
 
3.7%
4 98
 
3.4%
5 91
 
3.2%
9 85
 
3.0%
3 83
 
2.9%
6 82
 
2.8%
12 73
 
2.5%
8 71
 
2.5%
Other values (161) 1688
58.6%
ValueCountFrequency (%)
0 347
12.0%
1 155
5.4%
2 107
 
3.7%
3 83
 
2.9%
4 98
 
3.4%
5 91
 
3.2%
6 82
 
2.8%
7 56
 
1.9%
8 71
 
2.5%
9 85
 
3.0%
ValueCountFrequency (%)
209 2
0.1%
207 1
 
< 0.1%
206 1
 
< 0.1%
193 1
 
< 0.1%
188 1
 
< 0.1%
186 1
 
< 0.1%
185 1
 
< 0.1%
184 1
 
< 0.1%
183 3
0.1%
182 1
 
< 0.1%

06시
Real number (ℝ)

ZEROS 

Distinct358
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.332639
Minimum0
Maximum547
Zeros167
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:52.283148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median49
Q3115
95-th percentile285.15
Maximum547
Range547
Interquartile range (IQR)98

Descriptive statistics

Standard deviation89.848372
Coefficient of variation (CV)1.1047025
Kurtosis2.744451
Mean81.332639
Median Absolute Deviation (MAD)39
Skewness1.6704619
Sum234238
Variance8072.7299
MonotonicityNot monotonic
2023-12-12T16:23:52.426677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
5.8%
1 87
 
3.0%
2 69
 
2.4%
3 64
 
2.2%
22 37
 
1.3%
9 35
 
1.2%
24 33
 
1.1%
40 33
 
1.1%
10 32
 
1.1%
25 32
 
1.1%
Other values (348) 2291
79.5%
ValueCountFrequency (%)
0 167
5.8%
1 87
3.0%
2 69
2.4%
3 64
 
2.2%
4 27
 
0.9%
5 13
 
0.5%
6 14
 
0.5%
7 12
 
0.4%
8 26
 
0.9%
9 35
 
1.2%
ValueCountFrequency (%)
547 1
< 0.1%
543 1
< 0.1%
523 1
< 0.1%
508 1
< 0.1%
507 1
< 0.1%
500 1
< 0.1%
480 1
< 0.1%
478 1
< 0.1%
471 1
< 0.1%
442 1
< 0.1%

07시
Real number (ℝ)

ZEROS 

Distinct691
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.96528
Minimum0
Maximum1296
Zeros59
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:52.585782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q145
median121
Q3288.25
95-th percentile668
Maximum1296
Range1296
Interquartile range (IQR)243.25

Descriptive statistics

Standard deviation221.07308
Coefficient of variation (CV)1.0785879
Kurtosis2.2951297
Mean204.96528
Median Absolute Deviation (MAD)93
Skewness1.5966428
Sum590300
Variance48873.305
MonotonicityNot monotonic
2023-12-12T16:23:52.754198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
2.0%
1 46
 
1.6%
2 35
 
1.2%
28 30
 
1.0%
3 27
 
0.9%
8 26
 
0.9%
5 22
 
0.8%
4 22
 
0.8%
30 21
 
0.7%
25 21
 
0.7%
Other values (681) 2571
89.3%
ValueCountFrequency (%)
0 59
2.0%
1 46
1.6%
2 35
1.2%
3 27
0.9%
4 22
 
0.8%
5 22
 
0.8%
6 17
 
0.6%
7 15
 
0.5%
8 26
0.9%
9 16
 
0.6%
ValueCountFrequency (%)
1296 1
< 0.1%
1221 1
< 0.1%
1218 1
< 0.1%
1141 1
< 0.1%
1121 1
< 0.1%
1091 1
< 0.1%
1088 1
< 0.1%
1087 1
< 0.1%
1081 1
< 0.1%
1072 1
< 0.1%

08시
Real number (ℝ)

ZEROS 

Distinct779
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.15069
Minimum0
Maximum1384
Zeros46
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:52.901700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q169
median157
Q3357.25
95-th percentile789.2
Maximum1384
Range1384
Interquartile range (IQR)288.25

Descriptive statistics

Standard deviation254.66945
Coefficient of variation (CV)1.0140105
Kurtosis1.9031789
Mean251.15069
Median Absolute Deviation (MAD)118.5
Skewness1.4978971
Sum723314
Variance64856.527
MonotonicityNot monotonic
2023-12-12T16:23:53.061192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
1.6%
3 41
 
1.4%
1 38
 
1.3%
2 34
 
1.2%
4 23
 
0.8%
5 16
 
0.6%
14 16
 
0.6%
6 15
 
0.5%
83 14
 
0.5%
142 14
 
0.5%
Other values (769) 2623
91.1%
ValueCountFrequency (%)
0 46
1.6%
1 38
1.3%
2 34
1.2%
3 41
1.4%
4 23
0.8%
5 16
 
0.6%
6 15
 
0.5%
7 10
 
0.3%
8 11
 
0.4%
9 13
 
0.5%
ValueCountFrequency (%)
1384 1
< 0.1%
1294 1
< 0.1%
1270 1
< 0.1%
1248 1
< 0.1%
1221 1
< 0.1%
1200 1
< 0.1%
1195 1
< 0.1%
1192 1
< 0.1%
1175 1
< 0.1%
1168 1
< 0.1%

09시
Real number (ℝ)

Distinct646
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.28889
Minimum0
Maximum1032
Zeros25
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:53.218042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q150
median128
Q3273
95-th percentile638.05
Maximum1032
Range1032
Interquartile range (IQR)223

Descriptive statistics

Standard deviation200.63182
Coefficient of variation (CV)1.0273591
Kurtosis2.2276084
Mean195.28889
Median Absolute Deviation (MAD)98
Skewness1.560126
Sum562432
Variance40253.128
MonotonicityNot monotonic
2023-12-12T16:23:53.347203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 57
 
2.0%
2 49
 
1.7%
3 42
 
1.5%
6 34
 
1.2%
4 34
 
1.2%
0 25
 
0.9%
8 22
 
0.8%
5 20
 
0.7%
10 19
 
0.7%
30 19
 
0.7%
Other values (636) 2559
88.9%
ValueCountFrequency (%)
0 25
0.9%
1 57
2.0%
2 49
1.7%
3 42
1.5%
4 34
1.2%
5 20
 
0.7%
6 34
1.2%
7 12
 
0.4%
8 22
 
0.8%
9 7
 
0.2%
ValueCountFrequency (%)
1032 1
< 0.1%
1004 1
< 0.1%
1001 1
< 0.1%
987 1
< 0.1%
984 1
< 0.1%
977 1
< 0.1%
974 1
< 0.1%
964 1
< 0.1%
957 1
< 0.1%
953 1
< 0.1%

10시
Real number (ℝ)

ZEROS 

Distinct586
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.94063
Minimum0
Maximum879
Zeros90
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:53.477179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q139
median111
Q3230.25
95-th percentile565.05
Maximum879
Range879
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation172.40863
Coefficient of variation (CV)1.0327542
Kurtosis2.082313
Mean166.94063
Median Absolute Deviation (MAD)86
Skewness1.5311756
Sum480789
Variance29724.736
MonotonicityNot monotonic
2023-12-12T16:23:53.603909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90
 
3.1%
2 52
 
1.8%
3 45
 
1.6%
1 42
 
1.5%
7 27
 
0.9%
4 26
 
0.9%
37 25
 
0.9%
5 23
 
0.8%
40 22
 
0.8%
35 21
 
0.7%
Other values (576) 2507
87.0%
ValueCountFrequency (%)
0 90
3.1%
1 42
1.5%
2 52
1.8%
3 45
1.6%
4 26
 
0.9%
5 23
 
0.8%
6 15
 
0.5%
7 27
 
0.9%
8 20
 
0.7%
9 16
 
0.6%
ValueCountFrequency (%)
879 1
< 0.1%
870 1
< 0.1%
855 1
< 0.1%
853 1
< 0.1%
852 1
< 0.1%
851 1
< 0.1%
841 1
< 0.1%
839 1
< 0.1%
838 1
< 0.1%
817 1
< 0.1%

11시
Real number (ℝ)

ZEROS 

Distinct589
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.41493
Minimum0
Maximum927
Zeros91
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:54.033291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q139
median108
Q3233.25
95-th percentile577.05
Maximum927
Range927
Interquartile range (IQR)194.25

Descriptive statistics

Standard deviation177.97348
Coefficient of variation (CV)1.0505182
Kurtosis2.2251446
Mean169.41493
Median Absolute Deviation (MAD)85
Skewness1.5702088
Sum487915
Variance31674.558
MonotonicityNot monotonic
2023-12-12T16:23:54.159021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
 
3.2%
1 67
 
2.3%
4 40
 
1.4%
7 32
 
1.1%
3 31
 
1.1%
2 28
 
1.0%
6 24
 
0.8%
41 22
 
0.8%
39 21
 
0.7%
36 21
 
0.7%
Other values (579) 2503
86.9%
ValueCountFrequency (%)
0 91
3.2%
1 67
2.3%
2 28
 
1.0%
3 31
 
1.1%
4 40
1.4%
5 20
 
0.7%
6 24
 
0.8%
7 32
 
1.1%
8 19
 
0.7%
9 9
 
0.3%
ValueCountFrequency (%)
927 1
< 0.1%
921 1
< 0.1%
917 1
< 0.1%
897 1
< 0.1%
896 1
< 0.1%
888 1
< 0.1%
885 1
< 0.1%
875 1
< 0.1%
873 1
< 0.1%
858 1
< 0.1%

12시
Real number (ℝ)

ZEROS 

Distinct640
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.28924
Minimum0
Maximum992
Zeros105
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:54.301590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q146
median121
Q3260
95-th percentile644.1
Maximum992
Range992
Interquartile range (IQR)214

Descriptive statistics

Standard deviation201.09149
Coefficient of variation (CV)1.0567676
Kurtosis2.1732479
Mean190.28924
Median Absolute Deviation (MAD)96
Skewness1.5749999
Sum548033
Variance40437.787
MonotonicityNot monotonic
2023-12-12T16:23:54.455313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
 
3.6%
1 64
 
2.2%
2 34
 
1.2%
3 32
 
1.1%
4 31
 
1.1%
6 28
 
1.0%
5 24
 
0.8%
11 19
 
0.7%
51 19
 
0.7%
48 18
 
0.6%
Other values (630) 2506
87.0%
ValueCountFrequency (%)
0 105
3.6%
1 64
2.2%
2 34
 
1.2%
3 32
 
1.1%
4 31
 
1.1%
5 24
 
0.8%
6 28
 
1.0%
7 16
 
0.6%
8 11
 
0.4%
9 11
 
0.4%
ValueCountFrequency (%)
992 1
< 0.1%
982 1
< 0.1%
965 1
< 0.1%
962 1
< 0.1%
961 1
< 0.1%
954 1
< 0.1%
947 1
< 0.1%
946 1
< 0.1%
934 1
< 0.1%
906 1
< 0.1%

13시
Real number (ℝ)

ZEROS 

Distinct657
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.32951
Minimum0
Maximum1023
Zeros92
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:54.605048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q145
median123
Q3268.25
95-th percentile660.2
Maximum1023
Range1023
Interquartile range (IQR)223.25

Descriptive statistics

Standard deviation205.61324
Coefficient of variation (CV)1.0580649
Kurtosis2.1235629
Mean194.32951
Median Absolute Deviation (MAD)98
Skewness1.5658292
Sum559669
Variance42276.802
MonotonicityNot monotonic
2023-12-12T16:23:54.742466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
3.2%
2 58
 
2.0%
1 50
 
1.7%
3 38
 
1.3%
4 30
 
1.0%
34 22
 
0.8%
46 21
 
0.7%
7 20
 
0.7%
12 20
 
0.7%
5 20
 
0.7%
Other values (647) 2509
87.1%
ValueCountFrequency (%)
0 92
3.2%
1 50
1.7%
2 58
2.0%
3 38
1.3%
4 30
 
1.0%
5 20
 
0.7%
6 19
 
0.7%
7 20
 
0.7%
8 14
 
0.5%
9 10
 
0.3%
ValueCountFrequency (%)
1023 1
< 0.1%
1021 1
< 0.1%
1007 1
< 0.1%
993 1
< 0.1%
976 1
< 0.1%
960 1
< 0.1%
959 1
< 0.1%
958 1
< 0.1%
945 1
< 0.1%
933 1
< 0.1%

14시
Real number (ℝ)

ZEROS 

Distinct646
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.59583
Minimum0
Maximum1027
Zeros93
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:54.909965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q143.75
median121
Q3264
95-th percentile648.25
Maximum1027
Range1027
Interquartile range (IQR)220.25

Descriptive statistics

Standard deviation201.95089
Coefficient of variation (CV)1.0595766
Kurtosis2.0780536
Mean190.59583
Median Absolute Deviation (MAD)97
Skewness1.558404
Sum548916
Variance40784.161
MonotonicityNot monotonic
2023-12-12T16:23:55.085199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
 
3.2%
1 60
 
2.1%
2 50
 
1.7%
4 30
 
1.0%
3 29
 
1.0%
6 26
 
0.9%
5 26
 
0.9%
22 23
 
0.8%
31 19
 
0.7%
7 18
 
0.6%
Other values (636) 2506
87.0%
ValueCountFrequency (%)
0 93
3.2%
1 60
2.1%
2 50
1.7%
3 29
 
1.0%
4 30
 
1.0%
5 26
 
0.9%
6 26
 
0.9%
7 18
 
0.6%
8 9
 
0.3%
9 12
 
0.4%
ValueCountFrequency (%)
1027 1
< 0.1%
1002 1
< 0.1%
993 1
< 0.1%
982 1
< 0.1%
977 1
< 0.1%
973 1
< 0.1%
951 1
< 0.1%
948 1
< 0.1%
926 1
< 0.1%
892 1
< 0.1%

15시
Real number (ℝ)

ZEROS 

Distinct705
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.22847
Minimum0
Maximum1094
Zeros116
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:55.242108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q151
median134
Q3300
95-th percentile734.25
Maximum1094
Range1094
Interquartile range (IQR)249

Descriptive statistics

Standard deviation230.28923
Coefficient of variation (CV)1.0601245
Kurtosis2.0591624
Mean217.22847
Median Absolute Deviation (MAD)109
Skewness1.5594347
Sum625618
Variance53033.129
MonotonicityNot monotonic
2023-12-12T16:23:55.387022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116
 
4.0%
2 64
 
2.2%
1 32
 
1.1%
3 27
 
0.9%
5 21
 
0.7%
4 20
 
0.7%
25 20
 
0.7%
6 18
 
0.6%
52 18
 
0.6%
55 17
 
0.6%
Other values (695) 2527
87.7%
ValueCountFrequency (%)
0 116
4.0%
1 32
 
1.1%
2 64
2.2%
3 27
 
0.9%
4 20
 
0.7%
5 21
 
0.7%
6 18
 
0.6%
7 13
 
0.5%
8 15
 
0.5%
9 14
 
0.5%
ValueCountFrequency (%)
1094 2
0.1%
1062 1
< 0.1%
1060 1
< 0.1%
1053 1
< 0.1%
1051 1
< 0.1%
1050 1
< 0.1%
1047 1
< 0.1%
1037 1
< 0.1%
1034 1
< 0.1%
1025 1
< 0.1%

16시
Real number (ℝ)

ZEROS 

Distinct767
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.50868
Minimum0
Maximum1260
Zeros94
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:55.543825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q160
median151
Q3344.25
95-th percentile833.1
Maximum1260
Range1260
Interquartile range (IQR)284.25

Descriptive statistics

Standard deviation263.03095
Coefficient of variation (CV)1.0670251
Kurtosis2.2490929
Mean246.50868
Median Absolute Deviation (MAD)123
Skewness1.5981014
Sum709945
Variance69185.282
MonotonicityNot monotonic
2023-12-12T16:23:55.734185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94
 
3.3%
3 35
 
1.2%
4 34
 
1.2%
7 33
 
1.1%
1 29
 
1.0%
2 26
 
0.9%
6 23
 
0.8%
26 18
 
0.6%
5 18
 
0.6%
98 17
 
0.6%
Other values (757) 2553
88.6%
ValueCountFrequency (%)
0 94
3.3%
1 29
 
1.0%
2 26
 
0.9%
3 35
 
1.2%
4 34
 
1.2%
5 18
 
0.6%
6 23
 
0.8%
7 33
 
1.1%
8 16
 
0.6%
9 8
 
0.3%
ValueCountFrequency (%)
1260 1
 
< 0.1%
1250 1
 
< 0.1%
1249 1
 
< 0.1%
1243 3
0.1%
1242 1
 
< 0.1%
1240 1
 
< 0.1%
1218 1
 
< 0.1%
1214 1
 
< 0.1%
1207 3
0.1%
1206 1
 
< 0.1%

17시
Real number (ℝ)

ZEROS 

Distinct804
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.62743
Minimum0
Maximum1358
Zeros128
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:55.915608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q161
median161.5
Q3374.25
95-th percentile878.25
Maximum1358
Range1358
Interquartile range (IQR)313.25

Descriptive statistics

Standard deviation277.04493
Coefficient of variation (CV)1.0629922
Kurtosis2.0291437
Mean260.62743
Median Absolute Deviation (MAD)128.5
Skewness1.5454377
Sum750607
Variance76753.891
MonotonicityNot monotonic
2023-12-12T16:23:56.101388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128
 
4.4%
1 65
 
2.3%
2 55
 
1.9%
5 25
 
0.9%
3 24
 
0.8%
4 19
 
0.7%
30 15
 
0.5%
117 15
 
0.5%
35 14
 
0.5%
58 14
 
0.5%
Other values (794) 2506
87.0%
ValueCountFrequency (%)
0 128
4.4%
1 65
2.3%
2 55
1.9%
3 24
 
0.8%
4 19
 
0.7%
5 25
 
0.9%
6 12
 
0.4%
7 10
 
0.3%
8 6
 
0.2%
9 13
 
0.5%
ValueCountFrequency (%)
1358 1
< 0.1%
1335 1
< 0.1%
1334 1
< 0.1%
1328 1
< 0.1%
1317 1
< 0.1%
1299 1
< 0.1%
1289 1
< 0.1%
1288 1
< 0.1%
1285 1
< 0.1%
1259 1
< 0.1%

18시
Real number (ℝ)

ZEROS 

Distinct841
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.57153
Minimum0
Maximum1443
Zeros104
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:56.262503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q168
median176
Q3412
95-th percentile944.1
Maximum1443
Range1443
Interquartile range (IQR)344

Descriptive statistics

Standard deviation296.95744
Coefficient of variation (CV)1.0472047
Kurtosis1.8488229
Mean283.57153
Median Absolute Deviation (MAD)139
Skewness1.5037243
Sum816686
Variance88183.719
MonotonicityNot monotonic
2023-12-12T16:23:56.439616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104
 
3.6%
3 57
 
2.0%
2 53
 
1.8%
1 38
 
1.3%
4 21
 
0.7%
37 20
 
0.7%
8 20
 
0.7%
7 19
 
0.7%
5 16
 
0.6%
40 16
 
0.6%
Other values (831) 2516
87.4%
ValueCountFrequency (%)
0 104
3.6%
1 38
 
1.3%
2 53
1.8%
3 57
2.0%
4 21
 
0.7%
5 16
 
0.6%
6 12
 
0.4%
7 19
 
0.7%
8 20
 
0.7%
9 14
 
0.5%
ValueCountFrequency (%)
1443 1
< 0.1%
1440 1
< 0.1%
1416 1
< 0.1%
1374 1
< 0.1%
1369 1
< 0.1%
1359 1
< 0.1%
1352 1
< 0.1%
1348 1
< 0.1%
1338 1
< 0.1%
1330 1
< 0.1%

19시
Real number (ℝ)

ZEROS 

Distinct629
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.68542
Minimum0
Maximum993
Zeros150
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:56.616309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142
median118
Q3264.25
95-th percentile619
Maximum993
Range993
Interquartile range (IQR)222.25

Descriptive statistics

Standard deviation193.863
Coefficient of variation (CV)1.0611848
Kurtosis2.1667369
Mean182.68542
Median Absolute Deviation (MAD)93
Skewness1.5714859
Sum526134
Variance37582.861
MonotonicityNot monotonic
2023-12-12T16:23:56.786784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
 
5.2%
1 68
 
2.4%
4 43
 
1.5%
2 32
 
1.1%
3 26
 
0.9%
5 24
 
0.8%
18 23
 
0.8%
17 18
 
0.6%
19 18
 
0.6%
20 17
 
0.6%
Other values (619) 2461
85.5%
ValueCountFrequency (%)
0 150
5.2%
1 68
2.4%
2 32
 
1.1%
3 26
 
0.9%
4 43
 
1.5%
5 24
 
0.8%
6 11
 
0.4%
7 7
 
0.2%
8 6
 
0.2%
9 12
 
0.4%
ValueCountFrequency (%)
993 2
0.1%
967 1
< 0.1%
919 1
< 0.1%
918 1
< 0.1%
894 1
< 0.1%
888 2
0.1%
885 1
< 0.1%
882 1
< 0.1%
873 1
< 0.1%
871 1
< 0.1%

20시
Real number (ℝ)

ZEROS 

Distinct553
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.77153
Minimum0
Maximum771
Zeros166
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:56.969451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median84
Q3207
95-th percentile495
Maximum771
Range771
Interquartile range (IQR)178

Descriptive statistics

Standard deviation158.34991
Coefficient of variation (CV)1.1169373
Kurtosis2.3555359
Mean141.77153
Median Absolute Deviation (MAD)69
Skewness1.6467042
Sum408302
Variance25074.695
MonotonicityNot monotonic
2023-12-12T16:23:57.170113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
 
5.8%
1 82
 
2.8%
2 50
 
1.7%
3 31
 
1.1%
5 24
 
0.8%
14 23
 
0.8%
12 23
 
0.8%
23 23
 
0.8%
13 22
 
0.8%
22 21
 
0.7%
Other values (543) 2415
83.9%
ValueCountFrequency (%)
0 166
5.8%
1 82
2.8%
2 50
 
1.7%
3 31
 
1.1%
4 14
 
0.5%
5 24
 
0.8%
6 18
 
0.6%
7 14
 
0.5%
8 10
 
0.3%
9 4
 
0.1%
ValueCountFrequency (%)
771 1
< 0.1%
767 1
< 0.1%
756 1
< 0.1%
753 1
< 0.1%
739 1
< 0.1%
725 1
< 0.1%
720 1
< 0.1%
717 1
< 0.1%
715 1
< 0.1%
713 1
< 0.1%

21시
Real number (ℝ)

ZEROS 

Distinct561
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.16493
Minimum0
Maximum857
Zeros193
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:57.358392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median83
Q3204
95-th percentile525.1
Maximum857
Range857
Interquartile range (IQR)174

Descriptive statistics

Standard deviation164.86231
Coefficient of variation (CV)1.1435674
Kurtosis2.4666131
Mean144.16493
Median Absolute Deviation (MAD)69
Skewness1.6819551
Sum415195
Variance27179.581
MonotonicityNot monotonic
2023-12-12T16:23:57.532881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
 
6.7%
1 66
 
2.3%
2 57
 
2.0%
3 42
 
1.5%
14 28
 
1.0%
50 27
 
0.9%
13 26
 
0.9%
12 25
 
0.9%
60 25
 
0.9%
33 24
 
0.8%
Other values (551) 2367
82.2%
ValueCountFrequency (%)
0 193
6.7%
1 66
 
2.3%
2 57
 
2.0%
3 42
 
1.5%
4 13
 
0.5%
5 9
 
0.3%
6 12
 
0.4%
7 11
 
0.4%
8 11
 
0.4%
9 7
 
0.2%
ValueCountFrequency (%)
857 1
< 0.1%
830 1
< 0.1%
803 2
0.1%
793 1
< 0.1%
784 1
< 0.1%
772 1
< 0.1%
771 1
< 0.1%
770 1
< 0.1%
767 1
< 0.1%
753 2
0.1%

22시
Real number (ℝ)

ZEROS 

Distinct480
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.27778
Minimum0
Maximum713
Zeros229
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:57.674679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median68
Q3158
95-th percentile428.1
Maximum713
Range713
Interquartile range (IQR)135

Descriptive statistics

Standard deviation132.92489
Coefficient of variation (CV)1.1530833
Kurtosis2.5597208
Mean115.27778
Median Absolute Deviation (MAD)57
Skewness1.7018615
Sum332000
Variance17669.025
MonotonicityNot monotonic
2023-12-12T16:23:57.862764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
 
8.0%
1 72
 
2.5%
3 39
 
1.4%
9 37
 
1.3%
8 33
 
1.1%
2 32
 
1.1%
38 30
 
1.0%
22 29
 
1.0%
74 28
 
1.0%
10 28
 
1.0%
Other values (470) 2323
80.7%
ValueCountFrequency (%)
0 229
8.0%
1 72
 
2.5%
2 32
 
1.1%
3 39
 
1.4%
4 24
 
0.8%
5 17
 
0.6%
6 12
 
0.4%
7 19
 
0.7%
8 33
 
1.1%
9 37
 
1.3%
ValueCountFrequency (%)
713 1
< 0.1%
679 1
< 0.1%
671 1
< 0.1%
661 1
< 0.1%
636 1
< 0.1%
620 1
< 0.1%
615 1
< 0.1%
613 1
< 0.1%
604 1
< 0.1%
603 1
< 0.1%

23시
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.423958
Minimum0
Maximum77
Zeros619
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:58.370656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q316
95-th percentile35
Maximum77
Range77
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.890571
Coefficient of variation (CV)1.1406963
Kurtosis3.8121144
Mean10.423958
Median Absolute Deviation (MAD)7
Skewness1.7971264
Sum30021
Variance141.38567
MonotonicityNot monotonic
2023-12-12T16:23:58.569922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 619
21.5%
1 193
 
6.7%
6 132
 
4.6%
4 125
 
4.3%
7 123
 
4.3%
5 121
 
4.2%
8 121
 
4.2%
10 111
 
3.9%
9 109
 
3.8%
2 107
 
3.7%
Other values (58) 1119
38.9%
ValueCountFrequency (%)
0 619
21.5%
1 193
 
6.7%
2 107
 
3.7%
3 85
 
3.0%
4 125
 
4.3%
5 121
 
4.2%
6 132
 
4.6%
7 123
 
4.3%
8 121
 
4.2%
9 109
 
3.8%
ValueCountFrequency (%)
77 1
 
< 0.1%
70 1
 
< 0.1%
69 2
0.1%
68 1
 
< 0.1%
65 1
 
< 0.1%
64 1
 
< 0.1%
62 2
0.1%
60 3
0.1%
59 2
0.1%
58 4
0.1%

합계
Real number (ℝ)

Distinct2251
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3273.7226
Minimum0
Maximum16820
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-12T16:23:58.759469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.95
Q1812.75
median2074
Q34615.75
95-th percentile10895.35
Maximum16820
Range16820
Interquartile range (IQR)3803

Descriptive statistics

Standard deviation3451.4506
Coefficient of variation (CV)1.0542893
Kurtosis2.0235947
Mean3273.7226
Median Absolute Deviation (MAD)1623.5
Skewness1.5487379
Sum9428321
Variance11912511
MonotonicityNot monotonic
2023-12-12T16:23:58.951454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 10
 
0.3%
47 10
 
0.3%
9 8
 
0.3%
27 8
 
0.3%
11 8
 
0.3%
0 7
 
0.2%
12 7
 
0.2%
58 6
 
0.2%
26 6
 
0.2%
28 6
 
0.2%
Other values (2241) 2804
97.4%
ValueCountFrequency (%)
0 7
0.2%
1 4
0.1%
2 2
 
0.1%
3 4
0.1%
4 6
0.2%
5 6
0.2%
6 3
 
0.1%
7 4
0.1%
8 4
0.1%
9 8
0.3%
ValueCountFrequency (%)
16820 1
< 0.1%
16588 1
< 0.1%
16366 1
< 0.1%
16003 1
< 0.1%
15871 1
< 0.1%
15738 1
< 0.1%
15606 1
< 0.1%
15545 1
< 0.1%
15519 1
< 0.1%
15370 1
< 0.1%

Sample

년월노선구분05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시합계
02019-01101승차2976205318268234250272291292313305314326198179164126114171
12019-01101하차1134771161151061061111261191221121171087258553821605
22019-01101-1승차2582208293255228237260266270297298339361238183175143184176
32019-01101-1하차5225885837883859286908591986346423141227
42019-01156승차82245462591450401405478495530543558659731457390381239108107
52019-01156하차16501051661511361451681711851991962092321581081066342568
62019-01204승차3799254388287217223272296291319349418481272229223192114858
72019-01204하차7346511299827786948489981081356951463751378
82019-01234승차1875216283214203207257285267295325361421268198216225164350
92019-01234하차724598877677076878591951161177751474161281
년월노선구분05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시합계
28702019-12칠곡3승차71526475231252431314038253114101230462
28712019-12칠곡3하차025231613141110919249945220177
28722019-12칠곡4승차32078135106817710897881031221311358871765741580
28732019-12칠곡4하차17273625252528262524292929191614101396
28742019-12칠곡5승차023987726677263320080
28752019-12칠곡5하차012332212222121110028
28762019-12팔공1승차4348913711111481858386115981131055134332601399
28772019-12팔공1하차11630554239353946394939455123111490583
28782019-12팔공2승차010815558245051130054
28792019-12팔공2하차000302216114031020026