Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory247.0 B

Variable types

Numeric23
Categorical3
Text1

Dataset

Description서울교통공사 1-8호선 역별 일별 시간대별 승객유형별(일반, 어린이, 중고생, 청소년, 우대권 등) 승하차 인원 정보입니다. 해당 데이터는 2021년 1월 이후 데이터부터 반기 주기로 제공합니다. (단, 2023년 12월까지 업데이트 합니다.)
Author서울교통공사
URLhttps://www.data.go.kr/data/15099330/fileData.do

Alerts

연번 has unique valuesUnique
06시간대이전 has 6300 (63.0%) zerosZeros
06-07시간대 has 5611 (56.1%) zerosZeros
07-08시간대 has 4628 (46.3%) zerosZeros
08-09시간대 has 4107 (41.1%) zerosZeros
09-10시간대 has 3956 (39.6%) zerosZeros
10-11시간대 has 3796 (38.0%) zerosZeros
11-12시간대 has 3630 (36.3%) zerosZeros
12-13시간대 has 3610 (36.1%) zerosZeros
13-14시간대 has 3461 (34.6%) zerosZeros
14-15시간대 has 3341 (33.4%) zerosZeros
15-16시간대 has 3210 (32.1%) zerosZeros
16-17시간대 has 3173 (31.7%) zerosZeros
17-18시간대 has 3094 (30.9%) zerosZeros
18-19시간대 has 3240 (32.4%) zerosZeros
19-20시간대 has 3470 (34.7%) zerosZeros
20-21시간대 has 3696 (37.0%) zerosZeros
21-22시간대 has 3908 (39.1%) zerosZeros
22-23시간대 has 4203 (42.0%) zerosZeros
23-24시간대 has 4982 (49.8%) zerosZeros
24시간대이후 has 6721 (67.2%) zerosZeros

Reproduction

Analysis started2024-04-06 08:37:51.934943
Analysis finished2024-04-06 08:37:53.741129
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50005.648
Minimum5
Maximum99989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:37:53.987798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile4990.75
Q124982.75
median49762
Q375270.5
95-th percentile95340.15
Maximum99989
Range99984
Interquartile range (IQR)50287.75

Descriptive statistics

Standard deviation29076.529
Coefficient of variation (CV)0.58146488
Kurtosis-1.2066993
Mean50005.648
Median Absolute Deviation (MAD)25140.5
Skewness0.0063447785
Sum5.0005648 × 108
Variance8.4544451 × 108
MonotonicityNot monotonic
2024-04-06T17:37:54.506622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19041 1
 
< 0.1%
22340 1
 
< 0.1%
68879 1
 
< 0.1%
30508 1
 
< 0.1%
44013 1
 
< 0.1%
95340 1
 
< 0.1%
41537 1
 
< 0.1%
38258 1
 
< 0.1%
17208 1
 
< 0.1%
8819 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
8 1
< 0.1%
37 1
< 0.1%
41 1
< 0.1%
49 1
< 0.1%
54 1
< 0.1%
62 1
< 0.1%
63 1
< 0.1%
102 1
< 0.1%
115 1
< 0.1%
ValueCountFrequency (%)
99989 1
< 0.1%
99977 1
< 0.1%
99953 1
< 0.1%
99943 1
< 0.1%
99920 1
< 0.1%
99913 1
< 0.1%
99903 1
< 0.1%
99902 1
< 0.1%
99901 1
< 0.1%
99891 1
< 0.1%

수송일자
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-07-22
 
492
2023-07-03
 
478
2023-07-10
 
474
2023-07-07
 
471
2023-07-20
 
470
Other values (18)
7615 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-05
2nd row2023-07-14
3rd row2023-07-01
4th row2023-07-01
5th row2023-07-10

Common Values

ValueCountFrequency (%)
2023-07-22 492
 
4.9%
2023-07-03 478
 
4.8%
2023-07-10 474
 
4.7%
2023-07-07 471
 
4.7%
2023-07-20 470
 
4.7%
2023-07-15 465
 
4.7%
2023-07-21 462
 
4.6%
2023-07-11 457
 
4.6%
2023-07-02 455
 
4.5%
2023-07-19 454
 
4.5%
Other values (13) 5322
53.2%

Length

2024-04-06T17:37:55.762115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-07-22 492
 
4.9%
2023-07-03 478
 
4.8%
2023-07-10 474
 
4.7%
2023-07-07 471
 
4.7%
2023-07-20 470
 
4.7%
2023-07-15 465
 
4.7%
2023-07-21 462
 
4.6%
2023-07-11 457
 
4.6%
2023-07-02 455
 
4.5%
2023-07-19 454
 
4.5%
Other values (13) 5322
53.2%

호선명
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3556
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:37:56.279496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0160742
Coefficient of variation (CV)0.46286945
Kurtosis-1.1689934
Mean4.3556
Median Absolute Deviation (MAD)2
Skewness0.078857568
Sum43556
Variance4.0645551
MonotonicityNot monotonic
2024-04-06T17:37:56.725988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 2208
22.1%
5 1953
19.5%
7 1334
13.3%
6 1257
12.6%
3 1178
11.8%
4 1051
10.5%
8 534
 
5.3%
1 485
 
4.9%
ValueCountFrequency (%)
1 485
 
4.9%
2 2208
22.1%
3 1178
11.8%
4 1051
10.5%
5 1953
19.5%
6 1257
12.6%
7 1334
13.3%
8 534
 
5.3%
ValueCountFrequency (%)
8 534
 
5.3%
7 1334
13.3%
6 1257
12.6%
5 1953
19.5%
4 1051
10.5%
3 1178
11.8%
2 2208
22.1%
1 485
 
4.9%

역번호
Real number (ℝ)

Distinct272
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1480.5767
Minimum150
Maximum2828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:37:57.209010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile201
Q1244
median2513
Q32630
95-th percentile2812
Maximum2828
Range2678
Interquartile range (IQR)2386

Descriptive statistics

Standard deviation1182.5139
Coefficient of variation (CV)0.79868467
Kurtosis-1.9742201
Mean1480.5767
Median Absolute Deviation (MAD)313
Skewness-0.02863699
Sum14805767
Variance1398339.1
MonotonicityNot monotonic
2024-04-06T17:37:57.750352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
425 67
 
0.7%
421 67
 
0.7%
202 65
 
0.7%
232 64
 
0.6%
206 63
 
0.6%
204 62
 
0.6%
151 62
 
0.6%
205 61
 
0.6%
150 60
 
0.6%
239 60
 
0.6%
Other values (262) 9369
93.7%
ValueCountFrequency (%)
150 60
0.6%
151 62
0.6%
152 50
0.5%
153 45
0.4%
154 46
0.5%
155 47
0.5%
156 41
0.4%
157 40
0.4%
158 42
0.4%
159 52
0.5%
ValueCountFrequency (%)
2828 23
0.2%
2827 28
0.3%
2826 36
0.4%
2825 31
0.3%
2824 29
0.3%
2823 14
 
0.1%
2822 30
0.3%
2821 21
0.2%
2820 38
0.4%
2819 31
0.3%

역명
Text

Distinct239
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:37:58.691492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.489
Min length2

Characters and Unicode

Total characters44890
Distinct characters240
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row옥수
2nd row석계
3rd row쌍문
4th row신대방
5th row동대입구
ValueCountFrequency (%)
동대문역사문화공원(ddp 145
 
1.5%
종로3가 128
 
1.3%
서울역 118
 
1.2%
동대문 114
 
1.1%
신당 110
 
1.1%
시청 110
 
1.1%
합정 104
 
1.0%
동묘앞 103
 
1.0%
을지로4가 102
 
1.0%
잠실(송파구청 102
 
1.0%
Other values (229) 8864
88.6%
2024-04-06T17:38:00.213048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2384
 
5.3%
) 2384
 
5.3%
구 1894
 
4.2%
대 1845
 
4.1%
동 1292
 
2.9%
청 1167
 
2.6%
신 928
 
2.1%
문 896
 
2.0%
원 798
 
1.8%
로 757
 
1.7%
Other values (230) 30545
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39201
87.3%
Open Punctuation 2384
 
5.3%
Close Punctuation 2384
 
5.3%
Uppercase Letter 435
 
1.0%
Decimal Number 376
 
0.8%
Other Punctuation 110
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1894
 
4.8%
대 1845
 
4.7%
동 1292
 
3.3%
청 1167
 
3.0%
신 928
 
2.4%
문 896
 
2.3%
원 798
 
2.0%
로 757
 
1.9%
입 731
 
1.9%
지 695
 
1.8%
Other values (221) 28198
71.9%
Decimal Number
ValueCountFrequency (%)
3 228
60.6%
4 102
27.1%
5 46
 
12.2%
Uppercase Letter
ValueCountFrequency (%)
D 290
66.7%
P 145
33.3%
Other Punctuation
ValueCountFrequency (%)
. 88
80.0%
· 22
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 2384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2384
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39201
87.3%
Common 5254
 
11.7%
Latin 435
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1894
 
4.8%
대 1845
 
4.7%
동 1292
 
3.3%
청 1167
 
3.0%
신 928
 
2.4%
문 896
 
2.3%
원 798
 
2.0%
로 757
 
1.9%
입 731
 
1.9%
지 695
 
1.8%
Other values (221) 28198
71.9%
Common
ValueCountFrequency (%)
( 2384
45.4%
) 2384
45.4%
3 228
 
4.3%
4 102
 
1.9%
. 88
 
1.7%
5 46
 
0.9%
· 22
 
0.4%
Latin
ValueCountFrequency (%)
D 290
66.7%
P 145
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39201
87.3%
ASCII 5667
 
12.6%
None 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2384
42.1%
) 2384
42.1%
D 290
 
5.1%
3 228
 
4.0%
P 145
 
2.6%
4 102
 
1.8%
. 88
 
1.6%
5 46
 
0.8%
Hangul
ValueCountFrequency (%)
구 1894
 
4.8%
대 1845
 
4.7%
동 1292
 
3.3%
청 1167
 
3.0%
신 928
 
2.4%
문 896
 
2.3%
원 798
 
2.0%
로 757
 
1.9%
입 731
 
1.9%
지 695
 
1.8%
Other values (221) 28198
71.9%
None
ValueCountFrequency (%)
· 22
100.0%

승하차구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5007 
승차
4993 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5007
50.1%
승차 4993
49.9%

Length

2024-04-06T17:38:00.740262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:38:01.062520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5007
50.1%
승차 4993
49.9%

승객유형
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
우대권
1211 
일반
1206 
청소년
1194 
어린이
1187 
직원
1137 
Other values (7)
4065 

Length

Max length7
Median length6
Mean length3.5964
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우대권
2nd row영어 일반
3rd row영어 일반
4th row어린이
5th row청소년

Common Values

ValueCountFrequency (%)
우대권 1211
12.1%
일반 1206
12.1%
청소년 1194
11.9%
어린이 1187
11.9%
직원 1137
11.4%
중고생 929
9.3%
영어 일반 888
8.9%
중국어 일반 739
7.4%
일어 일반 561
5.6%
영어 어린이 455
 
4.5%
Other values (2) 493
4.9%

Length

2024-04-06T17:38:01.467427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 3394
25.8%
어린이 2135
16.3%
영어 1343
 
10.2%
우대권 1211
 
9.2%
청소년 1194
 
9.1%
직원 1137
 
8.7%
중국어 1087
 
8.3%
중고생 929
 
7.1%
일어 706
 
5.4%

06시간대이전
Real number (ℝ)

ZEROS 

Distinct307
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.9637
Minimum0
Maximum1538
Zeros6300
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:01.912205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile93
Maximum1538
Range1538
Interquartile range (IQR)4

Descriptive statistics

Standard deviation54.765888
Coefficient of variation (CV)3.4306513
Kurtosis137.10535
Mean15.9637
Median Absolute Deviation (MAD)0
Skewness8.8916092
Sum159637
Variance2999.3025
MonotonicityNot monotonic
2024-04-06T17:38:02.438991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6300
63.0%
1 614
 
6.1%
2 375
 
3.8%
3 188
 
1.9%
4 108
 
1.1%
5 85
 
0.9%
11 61
 
0.6%
10 61
 
0.6%
7 59
 
0.6%
13 58
 
0.6%
Other values (297) 2091
 
20.9%
ValueCountFrequency (%)
0 6300
63.0%
1 614
 
6.1%
2 375
 
3.8%
3 188
 
1.9%
4 108
 
1.1%
5 85
 
0.9%
6 56
 
0.6%
7 59
 
0.6%
8 48
 
0.5%
9 50
 
0.5%
ValueCountFrequency (%)
1538 1
< 0.1%
1123 1
< 0.1%
1004 1
< 0.1%
1001 1
< 0.1%
932 1
< 0.1%
763 1
< 0.1%
759 1
< 0.1%
675 1
< 0.1%
672 1
< 0.1%
641 1
< 0.1%

06-07시간대
Real number (ℝ)

ZEROS 

Distinct583
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.4464
Minimum0
Maximum2532
Zeros5611
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:03.052241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile246.05
Maximum2532
Range2532
Interquartile range (IQR)14

Descriptive statistics

Standard deviation141.83329
Coefficient of variation (CV)3.1208916
Kurtosis53.084978
Mean45.4464
Median Absolute Deviation (MAD)0
Skewness6.1340854
Sum454464
Variance20116.682
MonotonicityNot monotonic
2024-04-06T17:38:03.457005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5611
56.1%
1 726
 
7.3%
2 358
 
3.6%
3 211
 
2.1%
4 131
 
1.3%
5 111
 
1.1%
6 67
 
0.7%
7 63
 
0.6%
8 46
 
0.5%
9 45
 
0.4%
Other values (573) 2631
26.3%
ValueCountFrequency (%)
0 5611
56.1%
1 726
 
7.3%
2 358
 
3.6%
3 211
 
2.1%
4 131
 
1.3%
5 111
 
1.1%
6 67
 
0.7%
7 63
 
0.6%
8 46
 
0.5%
9 45
 
0.4%
ValueCountFrequency (%)
2532 1
< 0.1%
2373 1
< 0.1%
1955 1
< 0.1%
1790 1
< 0.1%
1610 1
< 0.1%
1584 1
< 0.1%
1563 1
< 0.1%
1558 1
< 0.1%
1546 1
< 0.1%
1468 1
< 0.1%

07-08시간대
Real number (ℝ)

ZEROS 

Distinct852
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.5641
Minimum0
Maximum7973
Zeros4628
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:03.918165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q336
95-th percentile487.1
Maximum7973
Range7973
Interquartile range (IQR)36

Descriptive statistics

Standard deviation456.14536
Coefficient of variation (CV)4.0523165
Kurtosis86.726237
Mean112.5641
Median Absolute Deviation (MAD)1
Skewness8.1368392
Sum1125641
Variance208068.59
MonotonicityNot monotonic
2024-04-06T17:38:04.422097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4628
46.3%
1 737
 
7.4%
2 447
 
4.5%
3 288
 
2.9%
4 215
 
2.1%
5 144
 
1.4%
6 98
 
1.0%
7 84
 
0.8%
8 66
 
0.7%
9 59
 
0.6%
Other values (842) 3234
32.3%
ValueCountFrequency (%)
0 4628
46.3%
1 737
 
7.4%
2 447
 
4.5%
3 288
 
2.9%
4 215
 
2.1%
5 144
 
1.4%
6 98
 
1.0%
7 84
 
0.8%
8 66
 
0.7%
9 59
 
0.6%
ValueCountFrequency (%)
7973 1
< 0.1%
7698 1
< 0.1%
7075 1
< 0.1%
7015 1
< 0.1%
6804 1
< 0.1%
6774 1
< 0.1%
6318 1
< 0.1%
6204 1
< 0.1%
6038 1
< 0.1%
5957 1
< 0.1%

08-09시간대
Real number (ℝ)

ZEROS 

Distinct1064
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.7461
Minimum0
Maximum17721
Zeros4107
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:04.857057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q337
95-th percentile968.05
Maximum17721
Range17721
Interquartile range (IQR)37

Descriptive statistics

Standard deviation925.13076
Coefficient of variation (CV)4.6783768
Kurtosis136.55256
Mean197.7461
Median Absolute Deviation (MAD)2
Skewness10.211404
Sum1977461
Variance855866.93
MonotonicityNot monotonic
2024-04-06T17:38:05.300475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4107
41.1%
1 606
 
6.1%
2 451
 
4.5%
3 306
 
3.1%
5 251
 
2.5%
4 248
 
2.5%
6 173
 
1.7%
7 156
 
1.6%
8 149
 
1.5%
9 110
 
1.1%
Other values (1054) 3443
34.4%
ValueCountFrequency (%)
0 4107
41.1%
1 606
 
6.1%
2 451
 
4.5%
3 306
 
3.1%
4 248
 
2.5%
5 251
 
2.5%
6 173
 
1.7%
7 156
 
1.6%
8 149
 
1.5%
9 110
 
1.1%
ValueCountFrequency (%)
17721 1
< 0.1%
17369 1
< 0.1%
17251 1
< 0.1%
17063 1
< 0.1%
16627 1
< 0.1%
15653 1
< 0.1%
15357 1
< 0.1%
15349 1
< 0.1%
14787 1
< 0.1%
14196 1
< 0.1%

09-10시간대
Real number (ℝ)

ZEROS 

Distinct937
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.0846
Minimum0
Maximum14060
Zeros3956
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:05.799995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q334
95-th percentile570.05
Maximum14060
Range14060
Interquartile range (IQR)34

Descriptive statistics

Standard deviation570.66268
Coefficient of variation (CV)4.3533923
Kurtosis205.13522
Mean131.0846
Median Absolute Deviation (MAD)2
Skewness11.89931
Sum1310846
Variance325655.9
MonotonicityNot monotonic
2024-04-06T17:38:06.390141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3956
39.6%
1 630
 
6.3%
2 488
 
4.9%
3 376
 
3.8%
4 299
 
3.0%
5 250
 
2.5%
6 205
 
2.1%
7 196
 
2.0%
8 143
 
1.4%
10 112
 
1.1%
Other values (927) 3345
33.5%
ValueCountFrequency (%)
0 3956
39.6%
1 630
 
6.3%
2 488
 
4.9%
3 376
 
3.8%
4 299
 
3.0%
5 250
 
2.5%
6 205
 
2.1%
7 196
 
2.0%
8 143
 
1.4%
9 95
 
0.9%
ValueCountFrequency (%)
14060 1
< 0.1%
13994 1
< 0.1%
13810 1
< 0.1%
13730 1
< 0.1%
11675 1
< 0.1%
10121 1
< 0.1%
9392 1
< 0.1%
6809 1
< 0.1%
6589 1
< 0.1%
6451 1
< 0.1%

10-11시간대
Real number (ℝ)

ZEROS 

Distinct783
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.777
Minimum0
Maximum5311
Zeros3796
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:06.912422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q334
95-th percentile435
Maximum5311
Range5311
Interquartile range (IQR)34

Descriptive statistics

Standard deviation271.78654
Coefficient of variation (CV)3.1320112
Kurtosis97.307008
Mean86.777
Median Absolute Deviation (MAD)2
Skewness7.9527573
Sum867770
Variance73867.922
MonotonicityNot monotonic
2024-04-06T17:38:07.376620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3796
38.0%
1 696
 
7.0%
2 515
 
5.1%
3 363
 
3.6%
4 348
 
3.5%
5 274
 
2.7%
6 193
 
1.9%
7 160
 
1.6%
9 142
 
1.4%
8 134
 
1.3%
Other values (773) 3379
33.8%
ValueCountFrequency (%)
0 3796
38.0%
1 696
 
7.0%
2 515
 
5.1%
3 363
 
3.6%
4 348
 
3.5%
5 274
 
2.7%
6 193
 
1.9%
7 160
 
1.6%
8 134
 
1.3%
9 142
 
1.4%
ValueCountFrequency (%)
5311 1
< 0.1%
5271 1
< 0.1%
5099 1
< 0.1%
4966 1
< 0.1%
4871 1
< 0.1%
4404 1
< 0.1%
3938 1
< 0.1%
3547 1
< 0.1%
3471 1
< 0.1%
3317 1
< 0.1%

11-12시간대
Real number (ℝ)

ZEROS 

Distinct787
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.0957
Minimum0
Maximum4143
Zeros3630
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:07.882942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q338
95-th percentile431.1
Maximum4143
Range4143
Interquartile range (IQR)38

Descriptive statistics

Standard deviation233.52211
Coefficient of variation (CV)2.8102791
Kurtosis58.906112
Mean83.0957
Median Absolute Deviation (MAD)3
Skewness6.2373552
Sum830957
Variance54532.575
MonotonicityNot monotonic
2024-04-06T17:38:08.351805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3630
36.3%
1 724
 
7.2%
2 538
 
5.4%
3 411
 
4.1%
4 290
 
2.9%
5 254
 
2.5%
6 213
 
2.1%
7 174
 
1.7%
8 136
 
1.4%
9 123
 
1.2%
Other values (777) 3507
35.1%
ValueCountFrequency (%)
0 3630
36.3%
1 724
 
7.2%
2 538
 
5.4%
3 411
 
4.1%
4 290
 
2.9%
5 254
 
2.5%
6 213
 
2.1%
7 174
 
1.7%
8 136
 
1.4%
9 123
 
1.2%
ValueCountFrequency (%)
4143 1
< 0.1%
3755 1
< 0.1%
3725 1
< 0.1%
3428 1
< 0.1%
3270 1
< 0.1%
3097 1
< 0.1%
3061 1
< 0.1%
2772 1
< 0.1%
2684 1
< 0.1%
2648 1
< 0.1%

12-13시간대
Real number (ℝ)

ZEROS 

Distinct820
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.5818
Minimum0
Maximum4863
Zeros3610
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:08.854443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q345
95-th percentile477
Maximum4863
Range4863
Interquartile range (IQR)45

Descriptive statistics

Standard deviation247.48624
Coefficient of variation (CV)2.7938723
Kurtosis65.335055
Mean88.5818
Median Absolute Deviation (MAD)3
Skewness6.4334435
Sum885818
Variance61249.438
MonotonicityNot monotonic
2024-04-06T17:38:09.351206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3610
36.1%
1 744
 
7.4%
2 547
 
5.5%
3 362
 
3.6%
4 334
 
3.3%
5 217
 
2.2%
7 162
 
1.6%
6 158
 
1.6%
8 144
 
1.4%
9 105
 
1.1%
Other values (810) 3617
36.2%
ValueCountFrequency (%)
0 3610
36.1%
1 744
 
7.4%
2 547
 
5.5%
3 362
 
3.6%
4 334
 
3.3%
5 217
 
2.2%
6 158
 
1.6%
7 162
 
1.6%
8 144
 
1.4%
9 105
 
1.1%
ValueCountFrequency (%)
4863 1
< 0.1%
4257 1
< 0.1%
4035 1
< 0.1%
3639 1
< 0.1%
3505 1
< 0.1%
3157 1
< 0.1%
2931 1
< 0.1%
2803 1
< 0.1%
2783 1
< 0.1%
2766 1
< 0.1%

13-14시간대
Real number (ℝ)

ZEROS 

Distinct850
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.6238
Minimum0
Maximum5525
Zeros3461
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:09.874166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q344
95-th percentile488
Maximum5525
Range5525
Interquartile range (IQR)44

Descriptive statistics

Standard deviation271.14006
Coefficient of variation (CV)2.8960592
Kurtosis77.830354
Mean93.6238
Median Absolute Deviation (MAD)3
Skewness6.9666114
Sum936238
Variance73516.935
MonotonicityNot monotonic
2024-04-06T17:38:10.383699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3461
34.6%
1 728
 
7.3%
2 559
 
5.6%
3 390
 
3.9%
4 301
 
3.0%
5 245
 
2.5%
6 207
 
2.1%
7 145
 
1.5%
9 115
 
1.1%
8 111
 
1.1%
Other values (840) 3738
37.4%
ValueCountFrequency (%)
0 3461
34.6%
1 728
 
7.3%
2 559
 
5.6%
3 390
 
3.9%
4 301
 
3.0%
5 245
 
2.5%
6 207
 
2.1%
7 145
 
1.5%
8 111
 
1.1%
9 115
 
1.1%
ValueCountFrequency (%)
5525 1
< 0.1%
5408 1
< 0.1%
4391 1
< 0.1%
4121 1
< 0.1%
3874 1
< 0.1%
3768 1
< 0.1%
3650 1
< 0.1%
3488 1
< 0.1%
3422 1
< 0.1%
3006 1
< 0.1%

14-15시간대
Real number (ℝ)

ZEROS 

Distinct833
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5778
Minimum0
Maximum4656
Zeros3341
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:10.910959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q346
95-th percentile481
Maximum4656
Range4656
Interquartile range (IQR)46

Descriptive statistics

Standard deviation259.18894
Coefficient of variation (CV)2.8302595
Kurtosis69.070385
Mean91.5778
Median Absolute Deviation (MAD)4
Skewness6.6277114
Sum915778
Variance67178.907
MonotonicityNot monotonic
2024-04-06T17:38:12.095458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3341
33.4%
1 661
 
6.6%
2 534
 
5.3%
3 382
 
3.8%
4 329
 
3.3%
5 298
 
3.0%
6 239
 
2.4%
8 170
 
1.7%
7 169
 
1.7%
9 141
 
1.4%
Other values (823) 3736
37.4%
ValueCountFrequency (%)
0 3341
33.4%
1 661
 
6.6%
2 534
 
5.3%
3 382
 
3.8%
4 329
 
3.3%
5 298
 
3.0%
6 239
 
2.4%
7 169
 
1.7%
8 170
 
1.7%
9 141
 
1.4%
ValueCountFrequency (%)
4656 1
< 0.1%
4434 1
< 0.1%
4115 1
< 0.1%
4030 1
< 0.1%
3983 1
< 0.1%
3838 1
< 0.1%
3723 1
< 0.1%
3666 1
< 0.1%
3558 1
< 0.1%
3507 1
< 0.1%

15-16시간대
Real number (ℝ)

ZEROS 

Distinct889
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.3478
Minimum0
Maximum6671
Zeros3210
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:12.601640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q352
95-th percentile520.05
Maximum6671
Range6671
Interquartile range (IQR)52

Descriptive statistics

Standard deviation287.86584
Coefficient of variation (CV)2.8686812
Kurtosis86.930374
Mean100.3478
Median Absolute Deviation (MAD)4
Skewness7.2029738
Sum1003478
Variance82866.744
MonotonicityNot monotonic
2024-04-06T17:38:13.190881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3210
32.1%
1 678
 
6.8%
2 464
 
4.6%
3 408
 
4.1%
4 325
 
3.2%
5 278
 
2.8%
6 218
 
2.2%
7 205
 
2.1%
8 164
 
1.6%
9 158
 
1.6%
Other values (879) 3892
38.9%
ValueCountFrequency (%)
0 3210
32.1%
1 678
 
6.8%
2 464
 
4.6%
3 408
 
4.1%
4 325
 
3.2%
5 278
 
2.8%
6 218
 
2.2%
7 205
 
2.1%
8 164
 
1.6%
9 158
 
1.6%
ValueCountFrequency (%)
6671 1
< 0.1%
5194 1
< 0.1%
4752 1
< 0.1%
4479 1
< 0.1%
4390 1
< 0.1%
4328 1
< 0.1%
4005 1
< 0.1%
3977 1
< 0.1%
3741 1
< 0.1%
3361 1
< 0.1%

16-17시간대
Real number (ℝ)

ZEROS 

Distinct970
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.3484
Minimum0
Maximum12972
Zeros3173
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:13.679438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q359
95-th percentile624
Maximum12972
Range12972
Interquartile range (IQR)59

Descriptive statistics

Standard deviation351.86045
Coefficient of variation (CV)3.0504146
Kurtosis231.89068
Mean115.3484
Median Absolute Deviation (MAD)4
Skewness10.278413
Sum1153484
Variance123805.77
MonotonicityNot monotonic
2024-04-06T17:38:14.185519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3173
31.7%
1 685
 
6.9%
2 477
 
4.8%
3 375
 
3.8%
4 330
 
3.3%
5 254
 
2.5%
6 220
 
2.2%
7 192
 
1.9%
9 141
 
1.4%
8 133
 
1.3%
Other values (960) 4020
40.2%
ValueCountFrequency (%)
0 3173
31.7%
1 685
 
6.9%
2 477
 
4.8%
3 375
 
3.8%
4 330
 
3.3%
5 254
 
2.5%
6 220
 
2.2%
7 192
 
1.9%
8 133
 
1.3%
9 141
 
1.4%
ValueCountFrequency (%)
12972 1
< 0.1%
6334 1
< 0.1%
6001 1
< 0.1%
5798 1
< 0.1%
5375 1
< 0.1%
5005 1
< 0.1%
4239 1
< 0.1%
4215 1
< 0.1%
4126 1
< 0.1%
4056 1
< 0.1%

17-18시간대
Real number (ℝ)

ZEROS 

Distinct1079
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.8636
Minimum0
Maximum10477
Zeros3094
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:14.692475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q354
95-th percentile805.05
Maximum10477
Range10477
Interquartile range (IQR)54

Descriptive statistics

Standard deviation497.67863
Coefficient of variation (CV)3.3657955
Kurtosis99.712839
Mean147.8636
Median Absolute Deviation (MAD)5
Skewness8.0631539
Sum1478636
Variance247684.02
MonotonicityNot monotonic
2024-04-06T17:38:15.186063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3094
30.9%
1 627
 
6.3%
2 490
 
4.9%
3 342
 
3.4%
4 321
 
3.2%
5 282
 
2.8%
6 228
 
2.3%
7 172
 
1.7%
8 160
 
1.6%
9 141
 
1.4%
Other values (1069) 4143
41.4%
ValueCountFrequency (%)
0 3094
30.9%
1 627
 
6.3%
2 490
 
4.9%
3 342
 
3.4%
4 321
 
3.2%
5 282
 
2.8%
6 228
 
2.3%
7 172
 
1.7%
8 160
 
1.6%
9 141
 
1.4%
ValueCountFrequency (%)
10477 1
< 0.1%
10175 1
< 0.1%
9403 1
< 0.1%
8473 1
< 0.1%
8157 1
< 0.1%
7091 1
< 0.1%
6602 1
< 0.1%
6436 1
< 0.1%
6415 1
< 0.1%
6163 1
< 0.1%

18-19시간대
Real number (ℝ)

ZEROS 

Distinct1150
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.8706
Minimum0
Maximum14852
Zeros3240
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:15.831309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q344
95-th percentile1031.05
Maximum14852
Range14852
Interquartile range (IQR)44

Descriptive statistics

Standard deviation737.97678
Coefficient of variation (CV)3.8663722
Kurtosis100.18041
Mean190.8706
Median Absolute Deviation (MAD)4
Skewness8.3983883
Sum1908706
Variance544609.73
MonotonicityNot monotonic
2024-04-06T17:38:16.400778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3240
32.4%
1 654
 
6.5%
2 508
 
5.1%
3 378
 
3.8%
4 341
 
3.4%
5 259
 
2.6%
7 186
 
1.9%
6 180
 
1.8%
8 151
 
1.5%
9 132
 
1.3%
Other values (1140) 3971
39.7%
ValueCountFrequency (%)
0 3240
32.4%
1 654
 
6.5%
2 508
 
5.1%
3 378
 
3.8%
4 341
 
3.4%
5 259
 
2.6%
6 180
 
1.8%
7 186
 
1.9%
8 151
 
1.5%
9 132
 
1.3%
ValueCountFrequency (%)
14852 1
< 0.1%
13502 1
< 0.1%
13300 1
< 0.1%
12567 1
< 0.1%
12476 1
< 0.1%
11693 1
< 0.1%
10620 1
< 0.1%
10283 1
< 0.1%
9946 1
< 0.1%
9392 1
< 0.1%

19-20시간대
Real number (ℝ)

ZEROS 

Distinct974
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.5937
Minimum0
Maximum8211
Zeros3470
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:16.856495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q331
95-th percentile690
Maximum8211
Range8211
Interquartile range (IQR)31

Descriptive statistics

Standard deviation447.8712
Coefficient of variation (CV)3.7138856
Kurtosis87.168106
Mean120.5937
Median Absolute Deviation (MAD)3
Skewness7.856777
Sum1205937
Variance200588.62
MonotonicityNot monotonic
2024-04-06T17:38:17.243063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3470
34.7%
1 736
 
7.4%
2 614
 
6.1%
3 405
 
4.0%
4 357
 
3.6%
5 275
 
2.8%
6 214
 
2.1%
8 157
 
1.6%
7 154
 
1.5%
9 132
 
1.3%
Other values (964) 3486
34.9%
ValueCountFrequency (%)
0 3470
34.7%
1 736
 
7.4%
2 614
 
6.1%
3 405
 
4.0%
4 357
 
3.6%
5 275
 
2.8%
6 214
 
2.1%
7 154
 
1.5%
8 157
 
1.6%
9 132
 
1.3%
ValueCountFrequency (%)
8211 1
< 0.1%
8041 1
< 0.1%
7780 1
< 0.1%
7629 1
< 0.1%
6811 1
< 0.1%
6809 1
< 0.1%
6405 1
< 0.1%
5672 1
< 0.1%
5564 1
< 0.1%
5557 1
< 0.1%

20-21시간대
Real number (ℝ)

ZEROS 

Distinct817
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.9815
Minimum0
Maximum7984
Zeros3696
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:17.741676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile488
Maximum7984
Range7984
Interquartile range (IQR)23

Descriptive statistics

Standard deviation307.13581
Coefficient of variation (CV)3.6571841
Kurtosis123.42518
Mean83.9815
Median Absolute Deviation (MAD)2
Skewness8.7577751
Sum839815
Variance94332.406
MonotonicityNot monotonic
2024-04-06T17:38:18.383837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3696
37.0%
1 835
 
8.3%
2 648
 
6.5%
3 397
 
4.0%
4 322
 
3.2%
5 257
 
2.6%
6 170
 
1.7%
7 143
 
1.4%
8 129
 
1.3%
9 115
 
1.1%
Other values (807) 3288
32.9%
ValueCountFrequency (%)
0 3696
37.0%
1 835
 
8.3%
2 648
 
6.5%
3 397
 
4.0%
4 322
 
3.2%
5 257
 
2.6%
6 170
 
1.7%
7 143
 
1.4%
8 129
 
1.3%
9 115
 
1.1%
ValueCountFrequency (%)
7984 1
< 0.1%
6213 1
< 0.1%
6042 1
< 0.1%
5662 1
< 0.1%
4267 1
< 0.1%
4083 1
< 0.1%
4016 1
< 0.1%
3988 1
< 0.1%
3828 1
< 0.1%
3692 1
< 0.1%

21-22시간대
Real number (ℝ)

ZEROS 

Distinct788
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.0524
Minimum0
Maximum7671
Zeros3908
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:19.000169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320.25
95-th percentile455.1
Maximum7671
Range7671
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation301.11047
Coefficient of variation (CV)3.8577989
Kurtosis157.34621
Mean78.0524
Median Absolute Deviation (MAD)2
Skewness9.8485331
Sum780524
Variance90667.512
MonotonicityNot monotonic
2024-04-06T17:38:19.522987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3908
39.1%
1 795
 
8.0%
2 584
 
5.8%
3 420
 
4.2%
4 325
 
3.2%
5 231
 
2.3%
6 182
 
1.8%
7 145
 
1.5%
8 119
 
1.2%
9 106
 
1.1%
Other values (778) 3185
31.9%
ValueCountFrequency (%)
0 3908
39.1%
1 795
 
8.0%
2 584
 
5.8%
3 420
 
4.2%
4 325
 
3.2%
5 231
 
2.3%
6 182
 
1.8%
7 145
 
1.5%
8 119
 
1.2%
9 106
 
1.1%
ValueCountFrequency (%)
7671 1
< 0.1%
7088 1
< 0.1%
6960 1
< 0.1%
6542 1
< 0.1%
4586 1
< 0.1%
4011 1
< 0.1%
4005 1
< 0.1%
3952 1
< 0.1%
3800 1
< 0.1%
3516 1
< 0.1%

22-23시간대
Real number (ℝ)

ZEROS 

Distinct732
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.9049
Minimum0
Maximum8293
Zeros4203
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:20.010759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317
95-th percentile406
Maximum8293
Range8293
Interquartile range (IQR)17

Descriptive statistics

Standard deviation276.93789
Coefficient of variation (CV)4.1392766
Kurtosis251.37436
Mean66.9049
Median Absolute Deviation (MAD)1
Skewness12.173632
Sum669049
Variance76694.594
MonotonicityNot monotonic
2024-04-06T17:38:20.314044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4203
42.0%
1 919
 
9.2%
2 564
 
5.6%
3 339
 
3.4%
4 251
 
2.5%
5 196
 
2.0%
6 183
 
1.8%
7 121
 
1.2%
8 112
 
1.1%
9 97
 
1.0%
Other values (722) 3015
30.1%
ValueCountFrequency (%)
0 4203
42.0%
1 919
 
9.2%
2 564
 
5.6%
3 339
 
3.4%
4 251
 
2.5%
5 196
 
2.0%
6 183
 
1.8%
7 121
 
1.2%
8 112
 
1.1%
9 97
 
1.0%
ValueCountFrequency (%)
8293 1
< 0.1%
7674 1
< 0.1%
7171 1
< 0.1%
7075 1
< 0.1%
4077 1
< 0.1%
3688 1
< 0.1%
3547 1
< 0.1%
3396 1
< 0.1%
3079 1
< 0.1%
2891 1
< 0.1%

23-24시간대
Real number (ℝ)

ZEROS 

Distinct542
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.1173
Minimum0
Maximum7196
Zeros4982
Zeros (%)49.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:20.630124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile225
Maximum7196
Range7196
Interquartile range (IQR)6

Descriptive statistics

Standard deviation174.69201
Coefficient of variation (CV)4.7064848
Kurtosis423.73164
Mean37.1173
Median Absolute Deviation (MAD)1
Skewness15.56903
Sum371173
Variance30517.298
MonotonicityNot monotonic
2024-04-06T17:38:21.054378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4982
49.8%
1 835
 
8.3%
2 551
 
5.5%
3 418
 
4.2%
4 291
 
2.9%
5 241
 
2.4%
6 203
 
2.0%
7 159
 
1.6%
8 131
 
1.3%
11 98
 
1.0%
Other values (532) 2091
20.9%
ValueCountFrequency (%)
0 4982
49.8%
1 835
 
8.3%
2 551
 
5.5%
3 418
 
4.2%
4 291
 
2.9%
5 241
 
2.4%
6 203
 
2.0%
7 159
 
1.6%
8 131
 
1.3%
9 98
 
1.0%
ValueCountFrequency (%)
7196 1
< 0.1%
4252 1
< 0.1%
4186 1
< 0.1%
4084 1
< 0.1%
2967 1
< 0.1%
2781 1
< 0.1%
2628 1
< 0.1%
2551 1
< 0.1%
2465 1
< 0.1%
2394 1
< 0.1%

24시간대이후
Real number (ℝ)

ZEROS 

Distinct264
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8995
Minimum0
Maximum1783
Zeros6721
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:38:21.599722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile47
Maximum1783
Range1783
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.622136
Coefficient of variation (CV)5.6186813
Kurtosis334.2457
Mean9.8995
Median Absolute Deviation (MAD)0
Skewness15.253992
Sum98995
Variance3093.822
MonotonicityNot monotonic
2024-04-06T17:38:22.024464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6721
67.2%
1 756
 
7.6%
2 488
 
4.9%
3 328
 
3.3%
4 241
 
2.4%
5 170
 
1.7%
6 115
 
1.1%
7 103
 
1.0%
8 60
 
0.6%
10 53
 
0.5%
Other values (254) 965
 
9.7%
ValueCountFrequency (%)
0 6721
67.2%
1 756
 
7.6%
2 488
 
4.9%
3 328
 
3.3%
4 241
 
2.4%
5 170
 
1.7%
6 115
 
1.1%
7 103
 
1.0%
8 60
 
0.6%
9 48
 
0.5%
ValueCountFrequency (%)
1783 1
< 0.1%
1579 1
< 0.1%
1329 1
< 0.1%
1294 1
< 0.1%
1292 1
< 0.1%
1144 1
< 0.1%
1140 1
< 0.1%
1003 1
< 0.1%
923 1
< 0.1%
866 1
< 0.1%

Sample

연번수송일자호선명역번호역명승하차구분승객유형06시간대이전06-07시간대07-08시간대08-09시간대09-10시간대10-11시간대11-12시간대12-13시간대13-14시간대14-15시간대15-16시간대16-17시간대17-18시간대18-19시간대19-20시간대20-21시간대21-22시간대22-23시간대23-24시간대24시간대이후
19040190412023-07-053325옥수승차우대권4582921732531932001821401661551481381189256331841
61510615112023-07-1462645석계승차영어 일반00000000020020000000
174817492023-07-014413쌍문승차영어 일반10000000000000000000
8018022023-07-012231신대방하차어린이00200641310111813166994320
41403414042023-07-103322동대입구승차청소년05275014513881920442127100
90213902142023-07-212213구의(광진구청)승차중국어 일반00000000011000000200
20802208032023-07-0562622망원하차일어 일반00000000003011000000
15678156792023-07-0452530공덕승차일반44208868135953433535338343441241862916682752100979375255723536
36899369002023-07-093319종로3가승차어린이00000113054301401000
96167961682023-07-224418성신여대입구(돈암)승차중국어 일반00006050111100601100
연번수송일자호선명역번호역명승하차구분승객유형06시간대이전06-07시간대07-08시간대08-09시간대09-10시간대10-11시간대11-12시간대12-13시간대13-14시간대14-15시간대15-16시간대16-17시간대17-18시간대18-19시간대19-20시간대20-21시간대21-22시간대22-23시간대23-24시간대24시간대이후
56095560962023-07-1352543답십리승차우대권1311451862482271801711571441621692021621366773372661
13588135892023-07-042206신당하차청소년02243513272029191221371120151391770
34888348892023-07-0872722상봉(시외버스터미널)승차일반2753315138198017207118197847347328797056294665405644252466
61602616032023-07-1472715노원승차우대권858516618526031736939235443546741832327314011410060194
39850398512023-07-0982814몽촌토성(평화의문)승차일반27395810313717517219319317016913918115112315516991540
42310423112023-07-1052517우장산승차우대권10314721027428334036134225424027127421613610667311660
60167601682023-07-1452518화곡하차청소년02271733982766114969979423444562112
988198822023-07-032243충정로(경기대입구)하차직원14384593373682134330
49801498022023-07-122232구로디지털단지하차중국어 일반00011001002200020000
71617716182023-07-1682827모란하차청소년00202511411726112716221011470