Overview

Dataset statistics

Number of variables25
Number of observations6652
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory223.0 B

Variable types

Numeric23
Text1
Categorical1

Dataset

Description서울교통공사 역별 월별 시간대별 우대권 승하차 인원 정보입니다. 해당월, 호선, 역번호, 역명, 승하차구분, 승하차인원정보 데이터 입니다. 2020년 1회성 데이터 입니다. 2021년 이후 데이터는 서울교통공사_1_8호선 역별 일별 시간대별 승객유형별 승하차인원(https://www.data.go.kr/data/15099330/fileData.do) 확인하여 주시기 바랍니다.
Author서울교통공사
URLhttps://www.data.go.kr/data/15066753/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:00:53.786039
Analysis finished2023-12-12 06:00:54.373089
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct6652
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326.5
Minimum1
Maximum6652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:54.446165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile333.55
Q11663.75
median3326.5
Q34989.25
95-th percentile6319.45
Maximum6652
Range6651
Interquartile range (IQR)3325.5

Descriptive statistics

Standard deviation1920.4113
Coefficient of variation (CV)0.57730688
Kurtosis-1.2
Mean3326.5
Median Absolute Deviation (MAD)1663
Skewness0
Sum22127878
Variance3687979.7
MonotonicityStrictly increasing
2023-12-12T15:00:54.596823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4433 1
 
< 0.1%
4443 1
 
< 0.1%
4442 1
 
< 0.1%
4441 1
 
< 0.1%
4440 1
 
< 0.1%
4439 1
 
< 0.1%
4438 1
 
< 0.1%
4437 1
 
< 0.1%
4436 1
 
< 0.1%
Other values (6642) 6642
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6652 1
< 0.1%
6651 1
< 0.1%
6650 1
< 0.1%
6649 1
< 0.1%
6648 1
< 0.1%
6647 1
< 0.1%
6646 1
< 0.1%
6645 1
< 0.1%
6644 1
< 0.1%
6643 1
< 0.1%

해당월
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5105232
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:54.713372image/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 deviation3.4505825
Coefficient of variation (CV)0.53000081
Kurtosis-1.2152893
Mean6.5105232
Median Absolute Deviation (MAD)3
Skewness-0.0048266617
Sum43308
Variance11.90652
MonotonicityIncreasing
2023-12-12T15:00:54.820443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 558
8.4%
9 558
8.4%
7 556
8.4%
10 556
8.4%
12 556
8.4%
4 554
8.3%
5 554
8.3%
11 554
8.3%
1 552
8.3%
2 552
8.3%
Other values (2) 1102
16.6%
ValueCountFrequency (%)
1 552
8.3%
2 552
8.3%
3 550
8.3%
4 554
8.3%
5 554
8.3%
6 552
8.3%
7 556
8.4%
8 558
8.4%
9 558
8.4%
10 556
8.4%
ValueCountFrequency (%)
12 556
8.4%
11 554
8.3%
10 556
8.4%
9 558
8.4%
8 558
8.4%
7 556
8.4%
6 552
8.3%
5 554
8.3%
4 554
8.3%
3 550
8.3%

호선
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6671678
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:54.933267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0229145
Coefficient of variation (CV)0.43343514
Kurtosis-1.2046523
Mean4.6671678
Median Absolute Deviation (MAD)2
Skewness-0.10320509
Sum31046
Variance4.092183
MonotonicityNot monotonic
2023-12-12T15:00:55.040441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 1246
18.7%
7 1224
18.4%
2 1200
18.0%
6 906
13.6%
3 804
12.1%
4 624
9.4%
8 408
 
6.1%
1 240
 
3.6%
ValueCountFrequency (%)
1 240
 
3.6%
2 1200
18.0%
3 804
12.1%
4 624
9.4%
5 1246
18.7%
6 906
13.6%
7 1224
18.4%
8 408
 
6.1%
ValueCountFrequency (%)
8 408
 
6.1%
7 1224
18.4%
6 906
13.6%
5 1246
18.7%
4 624
9.4%
3 804
12.1%
2 1200
18.0%
1 240
 
3.6%

역번호
Real number (ℝ)

Distinct280
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1634.7583
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:55.223999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1318
median2530
Q32647
95-th percentile2814
Maximum2827
Range2677
Interquartile range (IQR)2329

Descriptive statistics

Standard deviation1174.403
Coefficient of variation (CV)0.71839552
Kurtosis-1.9000004
Mean1634.7583
Median Absolute Deviation (MAD)229
Skewness-0.27270024
Sum10874412
Variance1379222.4
MonotonicityNot monotonic
2023-12-12T15:00:55.739635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 24
 
0.4%
2624 24
 
0.4%
2630 24
 
0.4%
2629 24
 
0.4%
2628 24
 
0.4%
2627 24
 
0.4%
2626 24
 
0.4%
2625 24
 
0.4%
2623 24
 
0.4%
2614 24
 
0.4%
Other values (270) 6412
96.4%
ValueCountFrequency (%)
150 24
0.4%
151 24
0.4%
152 24
0.4%
153 24
0.4%
154 24
0.4%
155 24
0.4%
156 24
0.4%
157 24
0.4%
158 24
0.4%
159 24
0.4%
ValueCountFrequency (%)
2827 24
0.4%
2826 24
0.4%
2825 24
0.4%
2824 24
0.4%
2823 24
0.4%
2822 24
0.4%
2821 24
0.4%
2820 24
0.4%
2819 24
0.4%
2818 24
0.4%

역명
Text

Distinct245
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
2023-12-12T15:00:56.047520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4034877
Min length2

Characters and Unicode

Total characters29292
Distinct characters241
Distinct categories6 ?
Distinct scripts3 ?
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 row서울역
2nd row서울역
3rd row시청
4th row시청
5th row종각
ValueCountFrequency (%)
종로3가 72
 
1.1%
동대문역사문화공원(ddp 72
 
1.1%
을지로4가 48
 
0.7%
불광 48
 
0.7%
서울역 48
 
0.7%
영등포구청 48
 
0.7%
태릉입구 48
 
0.7%
사당 48
 
0.7%
교대(법원.검찰청 48
 
0.7%
오금 48
 
0.7%
Other values (235) 6124
92.1%
2023-12-12T15:00:56.701794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1512
 
5.2%
( 1512
 
5.2%
구 1200
 
4.1%
대 1176
 
4.0%
동 840
 
2.9%
청 744
 
2.5%
신 618
 
2.1%
원 552
 
1.9%
산 492
 
1.7%
문 480
 
1.6%
Other values (231) 20166
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25788
88.0%
Close Punctuation 1512
 
5.2%
Open Punctuation 1512
 
5.2%
Uppercase Letter 216
 
0.7%
Decimal Number 192
 
0.7%
Other Punctuation 72
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1200
 
4.7%
대 1176
 
4.6%
동 840
 
3.3%
청 744
 
2.9%
신 618
 
2.4%
원 552
 
2.1%
산 492
 
1.9%
문 480
 
1.9%
입 456
 
1.8%
로 396
 
1.5%
Other values (223) 18834
73.0%
Decimal Number
ValueCountFrequency (%)
3 120
62.5%
4 48
 
25.0%
5 24
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
D 144
66.7%
P 72
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1512
100.0%
Other Punctuation
ValueCountFrequency (%)
. 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25788
88.0%
Common 3288
 
11.2%
Latin 216
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1200
 
4.7%
대 1176
 
4.6%
동 840
 
3.3%
청 744
 
2.9%
신 618
 
2.4%
원 552
 
2.1%
산 492
 
1.9%
문 480
 
1.9%
입 456
 
1.8%
로 396
 
1.5%
Other values (223) 18834
73.0%
Common
ValueCountFrequency (%)
) 1512
46.0%
( 1512
46.0%
3 120
 
3.6%
. 72
 
2.2%
4 48
 
1.5%
5 24
 
0.7%
Latin
ValueCountFrequency (%)
D 144
66.7%
P 72
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25788
88.0%
ASCII 3504
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1512
43.2%
( 1512
43.2%
D 144
 
4.1%
3 120
 
3.4%
. 72
 
2.1%
P 72
 
2.1%
4 48
 
1.4%
5 24
 
0.7%
Hangul
ValueCountFrequency (%)
구 1200
 
4.7%
대 1176
 
4.6%
동 840
 
3.3%
청 744
 
2.9%
신 618
 
2.4%
원 552
 
2.1%
산 492
 
1.9%
문 480
 
1.9%
입 456
 
1.8%
로 396
 
1.5%
Other values (223) 18834
73.0%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
승차
3326 
하차
3326 

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 3326
50.0%
하차 3326
50.0%

Length

2023-12-12T15:00:56.856259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:00:56.983529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 3326
50.0%
하차 3326
50.0%

6시이전
Real number (ℝ)

Distinct2619
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1234.4101
Minimum0
Maximum12592
Zeros35
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:57.123444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile131
Q1386
median725
Q31514.25
95-th percentile3845.8
Maximum12592
Range12592
Interquartile range (IQR)1128.25

Descriptive statistics

Standard deviation1464.0392
Coefficient of variation (CV)1.1860233
Kurtosis13.894965
Mean1234.4101
Median Absolute Deviation (MAD)426.5
Skewness3.1542278
Sum8211296
Variance2143410.7
MonotonicityNot monotonic
2023-12-12T15:00:57.287572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
0.5%
496 13
 
0.2%
355 13
 
0.2%
392 13
 
0.2%
436 13
 
0.2%
627 12
 
0.2%
310 11
 
0.2%
629 11
 
0.2%
304 11
 
0.2%
271 11
 
0.2%
Other values (2609) 6509
97.9%
ValueCountFrequency (%)
0 35
0.5%
1 6
 
0.1%
2 8
 
0.1%
3 3
 
< 0.1%
4 5
 
0.1%
5 5
 
0.1%
6 3
 
< 0.1%
7 4
 
0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
12592 1
< 0.1%
12370 1
< 0.1%
12170 1
< 0.1%
12056 1
< 0.1%
12000 1
< 0.1%
11994 1
< 0.1%
11796 1
< 0.1%
11737 1
< 0.1%
11711 1
< 0.1%
11574 1
< 0.1%

6시-7시
Real number (ℝ)

Distinct3491
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2180.4097
Minimum0
Maximum12314
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:57.476186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile425.55
Q11077.75
median1796.5
Q32734.25
95-th percentile5452.8
Maximum12314
Range12314
Interquartile range (IQR)1656.5

Descriptive statistics

Standard deviation1665.2119
Coefficient of variation (CV)0.76371514
Kurtosis5.5415149
Mean2180.4097
Median Absolute Deviation (MAD)791.5
Skewness2.010219
Sum14504085
Variance2772930.5
MonotonicityNot monotonic
2023-12-12T15:00:57.664262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
992 9
 
0.1%
1071 9
 
0.1%
1685 8
 
0.1%
2250 8
 
0.1%
1149 8
 
0.1%
1046 7
 
0.1%
1484 7
 
0.1%
1720 7
 
0.1%
1058 7
 
0.1%
Other values (3481) 6550
98.5%
ValueCountFrequency (%)
0 32
0.5%
87 1
 
< 0.1%
91 1
 
< 0.1%
97 1
 
< 0.1%
101 1
 
< 0.1%
102 1
 
< 0.1%
108 1
 
< 0.1%
112 1
 
< 0.1%
113 1
 
< 0.1%
116 2
 
< 0.1%
ValueCountFrequency (%)
12314 1
< 0.1%
11942 1
< 0.1%
11322 1
< 0.1%
11283 1
< 0.1%
11048 1
< 0.1%
11015 1
< 0.1%
10978 1
< 0.1%
10968 1
< 0.1%
10958 1
< 0.1%
10829 1
< 0.1%

7시-8시
Real number (ℝ)

Distinct3700
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2484.4173
Minimum0
Maximum13202
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:57.843453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile526.55
Q11247.75
median2055
Q33205
95-th percentile6072.45
Maximum13202
Range13202
Interquartile range (IQR)1957.25

Descriptive statistics

Standard deviation1794.2236
Coefficient of variation (CV)0.7221909
Kurtosis4.1802936
Mean2484.4173
Median Absolute Deviation (MAD)948
Skewness1.7054509
Sum16526344
Variance3219238.2
MonotonicityNot monotonic
2023-12-12T15:00:58.026511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1624 8
 
0.1%
2296 8
 
0.1%
935 7
 
0.1%
565 7
 
0.1%
2036 7
 
0.1%
2122 7
 
0.1%
2166 7
 
0.1%
2302 7
 
0.1%
1965 7
 
0.1%
Other values (3690) 6555
98.5%
ValueCountFrequency (%)
0 32
0.5%
77 1
 
< 0.1%
82 1
 
< 0.1%
85 1
 
< 0.1%
92 1
 
< 0.1%
94 1
 
< 0.1%
95 1
 
< 0.1%
101 1
 
< 0.1%
108 1
 
< 0.1%
109 1
 
< 0.1%
ValueCountFrequency (%)
13202 1
< 0.1%
13083 1
< 0.1%
13073 1
< 0.1%
13069 1
< 0.1%
12634 1
< 0.1%
12578 1
< 0.1%
12484 1
< 0.1%
12332 1
< 0.1%
12170 1
< 0.1%
12082 1
< 0.1%

8시-9시
Real number (ℝ)

Distinct4134
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3208.6612
Minimum0
Maximum16274
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:58.191739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile670
Q11555.75
median2653.5
Q34106.5
95-th percentile8008.95
Maximum16274
Range16274
Interquartile range (IQR)2550.75

Descriptive statistics

Standard deviation2323.5632
Coefficient of variation (CV)0.72415351
Kurtosis3.4552058
Mean3208.6612
Median Absolute Deviation (MAD)1215
Skewness1.6301811
Sum21344014
Variance5398946.1
MonotonicityNot monotonic
2023-12-12T15:00:58.389810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1838 7
 
0.1%
1773 7
 
0.1%
1561 7
 
0.1%
2054 6
 
0.1%
1657 6
 
0.1%
1299 6
 
0.1%
1231 6
 
0.1%
1494 6
 
0.1%
3093 6
 
0.1%
Other values (4124) 6563
98.7%
ValueCountFrequency (%)
0 32
0.5%
113 1
 
< 0.1%
117 1
 
< 0.1%
123 1
 
< 0.1%
136 1
 
< 0.1%
137 1
 
< 0.1%
140 1
 
< 0.1%
146 1
 
< 0.1%
151 1
 
< 0.1%
152 1
 
< 0.1%
ValueCountFrequency (%)
16274 1
< 0.1%
15860 1
< 0.1%
15596 1
< 0.1%
15556 1
< 0.1%
15541 1
< 0.1%
15333 1
< 0.1%
15305 1
< 0.1%
14849 1
< 0.1%
14847 1
< 0.1%
14560 1
< 0.1%

9시-10시
Real number (ℝ)

Distinct4373
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3743.9218
Minimum0
Maximum27377
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:58.578799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile793.55
Q11788.75
median3019
Q34776.5
95-th percentile9258.9
Maximum27377
Range27377
Interquartile range (IQR)2987.75

Descriptive statistics

Standard deviation2848.5497
Coefficient of variation (CV)0.76084648
Kurtosis6.603354
Mean3743.9218
Median Absolute Deviation (MAD)1416
Skewness2.031425
Sum24904568
Variance8114235.6
MonotonicityNot monotonic
2023-12-12T15:00:58.739818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1414 8
 
0.1%
1624 7
 
0.1%
1137 7
 
0.1%
2736 6
 
0.1%
2971 6
 
0.1%
1483 6
 
0.1%
1194 6
 
0.1%
2590 6
 
0.1%
755 5
 
0.1%
Other values (4363) 6563
98.7%
ValueCountFrequency (%)
0 32
0.5%
166 1
 
< 0.1%
178 1
 
< 0.1%
186 2
 
< 0.1%
189 1
 
< 0.1%
192 2
 
< 0.1%
200 1
 
< 0.1%
205 1
 
< 0.1%
206 1
 
< 0.1%
210 1
 
< 0.1%
ValueCountFrequency (%)
27377 1
< 0.1%
25355 1
< 0.1%
24567 1
< 0.1%
24160 1
< 0.1%
23013 1
< 0.1%
22391 1
< 0.1%
21293 1
< 0.1%
21277 1
< 0.1%
19712 1
< 0.1%
19337 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct4528
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4192.8432
Minimum0
Maximum30854
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:58.905555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile878.55
Q12062.75
median3358
Q35308
95-th percentile10314.3
Maximum30854
Range30854
Interquartile range (IQR)3245.25

Descriptive statistics

Standard deviation3268.6871
Coefficient of variation (CV)0.77958724
Kurtosis9.4811648
Mean4192.8432
Median Absolute Deviation (MAD)1512
Skewness2.3713504
Sum27890793
Variance10684315
MonotonicityNot monotonic
2023-12-12T15:00:59.082094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
2350 7
 
0.1%
2092 7
 
0.1%
2052 6
 
0.1%
1297 6
 
0.1%
3461 5
 
0.1%
2893 5
 
0.1%
3227 5
 
0.1%
3334 5
 
0.1%
2347 5
 
0.1%
Other values (4518) 6569
98.8%
ValueCountFrequency (%)
0 32
0.5%
170 1
 
< 0.1%
225 1
 
< 0.1%
242 2
 
< 0.1%
254 1
 
< 0.1%
263 1
 
< 0.1%
264 1
 
< 0.1%
266 1
 
< 0.1%
271 1
 
< 0.1%
272 1
 
< 0.1%
ValueCountFrequency (%)
30854 1
< 0.1%
30670 1
< 0.1%
29947 1
< 0.1%
28306 1
< 0.1%
27602 1
< 0.1%
27345 1
< 0.1%
27011 1
< 0.1%
26329 1
< 0.1%
26087 1
< 0.1%
25875 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct4522
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4405.9196
Minimum0
Maximum45970
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:59.255184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile866.65
Q12151
median3426
Q35421.5
95-th percentile11027.25
Maximum45970
Range45970
Interquartile range (IQR)3270.5

Descriptive statistics

Standard deviation3759.0373
Coefficient of variation (CV)0.85317883
Kurtosis15.745999
Mean4405.9196
Median Absolute Deviation (MAD)1506.5
Skewness3.0567713
Sum29308177
Variance14130361
MonotonicityNot monotonic
2023-12-12T15:00:59.438005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1983 6
 
0.1%
2491 6
 
0.1%
3530 6
 
0.1%
3846 6
 
0.1%
3457 5
 
0.1%
2151 5
 
0.1%
2477 5
 
0.1%
3883 5
 
0.1%
5640 5
 
0.1%
Other values (4512) 6571
98.8%
ValueCountFrequency (%)
0 32
0.5%
176 1
 
< 0.1%
245 1
 
< 0.1%
249 1
 
< 0.1%
259 1
 
< 0.1%
262 1
 
< 0.1%
284 1
 
< 0.1%
285 1
 
< 0.1%
287 1
 
< 0.1%
291 1
 
< 0.1%
ValueCountFrequency (%)
45970 1
< 0.1%
44187 1
< 0.1%
34927 1
< 0.1%
34823 1
< 0.1%
34727 1
< 0.1%
34123 1
< 0.1%
33024 1
< 0.1%
31604 1
< 0.1%
31493 1
< 0.1%
31089 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct4552
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4358.39
Minimum0
Maximum51521
Zeros30
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:59.585192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile867
Q12122.5
median3320
Q35374
95-th percentile10870.7
Maximum51521
Range51521
Interquartile range (IQR)3251.5

Descriptive statistics

Standard deviation3827.3139
Coefficient of variation (CV)0.87814857
Kurtosis18.755941
Mean4358.39
Median Absolute Deviation (MAD)1467.5
Skewness3.2961298
Sum28992010
Variance14648332
MonotonicityNot monotonic
2023-12-12T15:00:59.736210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
0.5%
3253 6
 
0.1%
1804 6
 
0.1%
2784 6
 
0.1%
2138 6
 
0.1%
1321 6
 
0.1%
2405 6
 
0.1%
2962 5
 
0.1%
1840 5
 
0.1%
2635 5
 
0.1%
Other values (4542) 6571
98.8%
ValueCountFrequency (%)
0 30
0.5%
1 2
 
< 0.1%
260 1
 
< 0.1%
268 1
 
< 0.1%
280 1
 
< 0.1%
288 1
 
< 0.1%
292 1
 
< 0.1%
293 1
 
< 0.1%
297 1
 
< 0.1%
299 1
 
< 0.1%
ValueCountFrequency (%)
51521 1
< 0.1%
51273 1
< 0.1%
39103 1
< 0.1%
33891 1
< 0.1%
33454 1
< 0.1%
33307 1
< 0.1%
33066 1
< 0.1%
32210 1
< 0.1%
31372 1
< 0.1%
31202 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct4602
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4525.4925
Minimum0
Maximum53110
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:00:59.909997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile894.75
Q12199.75
median3460
Q35469.25
95-th percentile11399.3
Maximum53110
Range53110
Interquartile range (IQR)3269.5

Descriptive statistics

Standard deviation3956.2347
Coefficient of variation (CV)0.87421086
Kurtosis16.668122
Mean4525.4925
Median Absolute Deviation (MAD)1505
Skewness3.1570825
Sum30103576
Variance15651793
MonotonicityNot monotonic
2023-12-12T15:01:00.088526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
2992 7
 
0.1%
3572 7
 
0.1%
2618 6
 
0.1%
3973 6
 
0.1%
2342 6
 
0.1%
2574 6
 
0.1%
3210 5
 
0.1%
3184 5
 
0.1%
2683 5
 
0.1%
Other values (4592) 6567
98.7%
ValueCountFrequency (%)
0 32
0.5%
224 1
 
< 0.1%
235 1
 
< 0.1%
248 1
 
< 0.1%
265 1
 
< 0.1%
279 1
 
< 0.1%
306 1
 
< 0.1%
308 1
 
< 0.1%
311 1
 
< 0.1%
313 1
 
< 0.1%
ValueCountFrequency (%)
53110 1
< 0.1%
45021 1
< 0.1%
43563 1
< 0.1%
36138 1
< 0.1%
34854 1
< 0.1%
34659 1
< 0.1%
34329 1
< 0.1%
31097 1
< 0.1%
30447 1
< 0.1%
30014 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct4692
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4795.6185
Minimum0
Maximum48845
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:00.251017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile928
Q12297.25
median3664.5
Q35729.75
95-th percentile12349.4
Maximum48845
Range48845
Interquartile range (IQR)3432.5

Descriptive statistics

Standard deviation4241.8356
Coefficient of variation (CV)0.88452316
Kurtosis14.40445
Mean4795.6185
Median Absolute Deviation (MAD)1610
Skewness3.0332253
Sum31900454
Variance17993169
MonotonicityNot monotonic
2023-12-12T15:01:00.412642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
3661 7
 
0.1%
2755 6
 
0.1%
3785 6
 
0.1%
2458 5
 
0.1%
2530 5
 
0.1%
2312 5
 
0.1%
2913 5
 
0.1%
2283 5
 
0.1%
2267 5
 
0.1%
Other values (4682) 6571
98.8%
ValueCountFrequency (%)
0 32
0.5%
237 1
 
< 0.1%
260 1
 
< 0.1%
279 1
 
< 0.1%
283 1
 
< 0.1%
292 1
 
< 0.1%
301 1
 
< 0.1%
307 3
 
< 0.1%
315 1
 
< 0.1%
318 1
 
< 0.1%
ValueCountFrequency (%)
48845 1
< 0.1%
43172 1
< 0.1%
42579 1
< 0.1%
42443 1
< 0.1%
40703 1
< 0.1%
35659 1
< 0.1%
35036 1
< 0.1%
34950 1
< 0.1%
33064 1
< 0.1%
32727 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct4771
Distinct (%)71.8%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5104.9022
Minimum0
Maximum49705
Zeros28
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:00.570326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1043
Q12438
median3921
Q36161
95-th percentile13244.85
Maximum49705
Range49705
Interquartile range (IQR)3723

Descriptive statistics

Standard deviation4361.1019
Coefficient of variation (CV)0.85429686
Kurtosis11.158031
Mean5104.9022
Median Absolute Deviation (MAD)1720
Skewness2.6895552
Sum33937390
Variance19019210
MonotonicityNot monotonic
2023-12-12T15:01:00.726654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
0.4%
2146 7
 
0.1%
3309 6
 
0.1%
1656 5
 
0.1%
3187 5
 
0.1%
4176 5
 
0.1%
2314 5
 
0.1%
2343 5
 
0.1%
2211 5
 
0.1%
3848 5
 
0.1%
Other values (4761) 6572
98.8%
ValueCountFrequency (%)
0 28
0.4%
259 1
 
< 0.1%
265 1
 
< 0.1%
274 1
 
< 0.1%
284 1
 
< 0.1%
287 1
 
< 0.1%
304 1
 
< 0.1%
305 1
 
< 0.1%
310 1
 
< 0.1%
315 1
 
< 0.1%
ValueCountFrequency (%)
49705 1
< 0.1%
45711 1
< 0.1%
41110 1
< 0.1%
35837 1
< 0.1%
34450 1
< 0.1%
34447 1
< 0.1%
34142 1
< 0.1%
33112 1
< 0.1%
32380 1
< 0.1%
31977 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct4699
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4802.5419
Minimum0
Maximum45877
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:01.149962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile980.1
Q12308.75
median3702.5
Q35851.25
95-th percentile12564
Maximum45877
Range45877
Interquartile range (IQR)3542.5

Descriptive statistics

Standard deviation4077.4848
Coefficient of variation (CV)0.84902637
Kurtosis11.888799
Mean4802.5419
Median Absolute Deviation (MAD)1650
Skewness2.7264715
Sum31946509
Variance16625882
MonotonicityNot monotonic
2023-12-12T15:01:01.308412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
2909 6
 
0.1%
4418 6
 
0.1%
1827 6
 
0.1%
2926 5
 
0.1%
3127 5
 
0.1%
5688 5
 
0.1%
2518 5
 
0.1%
2721 5
 
0.1%
3837 5
 
0.1%
Other values (4689) 6572
98.8%
ValueCountFrequency (%)
0 32
0.5%
191 1
 
< 0.1%
193 1
 
< 0.1%
215 1
 
< 0.1%
223 1
 
< 0.1%
228 1
 
< 0.1%
238 1
 
< 0.1%
242 1
 
< 0.1%
248 1
 
< 0.1%
250 1
 
< 0.1%
ValueCountFrequency (%)
45877 1
< 0.1%
45546 1
< 0.1%
40731 1
< 0.1%
33998 1
< 0.1%
32516 1
< 0.1%
31745 1
< 0.1%
31667 1
< 0.1%
31337 1
< 0.1%
31318 1
< 0.1%
30139 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct4495
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4230.8246
Minimum0
Maximum38892
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:01.468545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile881.1
Q12033
median3288
Q35253.25
95-th percentile11041.25
Maximum38892
Range38892
Interquartile range (IQR)3220.25

Descriptive statistics

Standard deviation3428.9249
Coefficient of variation (CV)0.81046255
Kurtosis8.3397075
Mean4230.8246
Median Absolute Deviation (MAD)1497
Skewness2.3103323
Sum28143445
Variance11757526
MonotonicityNot monotonic
2023-12-12T15:01:01.617095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1139 8
 
0.1%
3708 8
 
0.1%
1470 7
 
0.1%
3067 6
 
0.1%
1373 6
 
0.1%
2304 6
 
0.1%
2110 6
 
0.1%
1983 6
 
0.1%
2335 6
 
0.1%
Other values (4485) 6561
98.6%
ValueCountFrequency (%)
0 32
0.5%
156 1
 
< 0.1%
183 1
 
< 0.1%
201 1
 
< 0.1%
202 1
 
< 0.1%
203 1
 
< 0.1%
207 1
 
< 0.1%
214 1
 
< 0.1%
221 1
 
< 0.1%
222 1
 
< 0.1%
ValueCountFrequency (%)
38892 1
< 0.1%
30636 1
< 0.1%
30552 1
< 0.1%
26592 1
< 0.1%
26500 1
< 0.1%
25929 1
< 0.1%
25578 1
< 0.1%
25294 1
< 0.1%
25152 1
< 0.1%
24263 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct4235
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3379.6251
Minimum0
Maximum30181
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:01.795158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile719.2
Q11559.75
median2667
Q34294
95-th percentile8744.15
Maximum30181
Range30181
Interquartile range (IQR)2734.25

Descriptive statistics

Standard deviation2683.695
Coefficient of variation (CV)0.7940807
Kurtosis7.0687301
Mean3379.6251
Median Absolute Deviation (MAD)1279.5
Skewness2.0946558
Sum22481266
Variance7202219.1
MonotonicityNot monotonic
2023-12-12T15:01:01.930457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
1635 8
 
0.1%
1559 7
 
0.1%
1968 6
 
0.1%
2227 6
 
0.1%
1648 6
 
0.1%
1898 6
 
0.1%
1728 6
 
0.1%
1138 6
 
0.1%
1434 6
 
0.1%
Other values (4225) 6563
98.7%
ValueCountFrequency (%)
0 32
0.5%
112 1
 
< 0.1%
124 1
 
< 0.1%
140 1
 
< 0.1%
144 1
 
< 0.1%
145 1
 
< 0.1%
150 1
 
< 0.1%
153 1
 
< 0.1%
161 1
 
< 0.1%
163 2
 
< 0.1%
ValueCountFrequency (%)
30181 1
< 0.1%
22348 1
< 0.1%
21542 1
< 0.1%
20946 1
< 0.1%
20940 1
< 0.1%
20889 1
< 0.1%
19090 1
< 0.1%
19038 1
< 0.1%
19022 1
< 0.1%
19011 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct3550
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2228.9714
Minimum0
Maximum21295
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:02.075019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile407
Q1989.75
median1722
Q32853.25
95-th percentile5892.45
Maximum21295
Range21295
Interquartile range (IQR)1863.5

Descriptive statistics

Standard deviation1834.2544
Coefficient of variation (CV)0.82291515
Kurtosis7.9387956
Mean2228.9714
Median Absolute Deviation (MAD)874
Skewness2.1983608
Sum14827118
Variance3364489.1
MonotonicityNot monotonic
2023-12-12T15:01:02.254068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
706 9
 
0.1%
694 8
 
0.1%
809 8
 
0.1%
956 7
 
0.1%
1673 7
 
0.1%
772 7
 
0.1%
829 7
 
0.1%
1553 7
 
0.1%
1475 7
 
0.1%
Other values (3540) 6553
98.5%
ValueCountFrequency (%)
0 32
0.5%
54 1
 
< 0.1%
87 1
 
< 0.1%
90 1
 
< 0.1%
92 1
 
< 0.1%
93 1
 
< 0.1%
97 2
 
< 0.1%
98 1
 
< 0.1%
100 1
 
< 0.1%
104 1
 
< 0.1%
ValueCountFrequency (%)
21295 1
< 0.1%
16307 1
< 0.1%
15336 1
< 0.1%
14581 1
< 0.1%
14108 1
< 0.1%
14029 1
< 0.1%
13984 1
< 0.1%
13783 1
< 0.1%
13484 1
< 0.1%
13097 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct2909
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1498.9696
Minimum0
Maximum14671
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:02.381098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile271.55
Q1657.75
median1169
Q31912
95-th percentile4026.45
Maximum14671
Range14671
Interquartile range (IQR)1254.25

Descriptive statistics

Standard deviation1249.0629
Coefficient of variation (CV)0.83328096
Kurtosis7.8384554
Mean1498.9696
Median Absolute Deviation (MAD)584
Skewness2.1922403
Sum9971146
Variance1560158
MonotonicityNot monotonic
2023-12-12T15:01:02.522625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
644 10
 
0.2%
651 9
 
0.1%
762 9
 
0.1%
1152 9
 
0.1%
467 9
 
0.1%
665 9
 
0.1%
684 9
 
0.1%
325 9
 
0.1%
537 8
 
0.1%
Other values (2899) 6539
98.3%
ValueCountFrequency (%)
0 32
0.5%
52 2
 
< 0.1%
55 1
 
< 0.1%
56 1
 
< 0.1%
57 1
 
< 0.1%
58 2
 
< 0.1%
63 4
 
0.1%
64 1
 
< 0.1%
67 2
 
< 0.1%
72 3
 
< 0.1%
ValueCountFrequency (%)
14671 1
< 0.1%
11939 1
< 0.1%
10776 1
< 0.1%
10561 1
< 0.1%
9310 1
< 0.1%
9221 1
< 0.1%
9012 1
< 0.1%
8921 1
< 0.1%
8856 1
< 0.1%
8594 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct2446
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1100.4898
Minimum0
Maximum9613
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:02.656044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile195
Q1483
median862.5
Q31417
95-th percentile2944.8
Maximum9613
Range9613
Interquartile range (IQR)934

Descriptive statistics

Standard deviation918.4019
Coefficient of variation (CV)0.83453924
Kurtosis6.9570001
Mean1100.4898
Median Absolute Deviation (MAD)441.5
Skewness2.1281805
Sum7320458
Variance843462.06
MonotonicityNot monotonic
2023-12-12T15:01:02.803508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
330 13
 
0.2%
274 12
 
0.2%
581 12
 
0.2%
453 12
 
0.2%
568 12
 
0.2%
525 11
 
0.2%
385 11
 
0.2%
670 10
 
0.2%
379 10
 
0.2%
Other values (2436) 6517
98.0%
ValueCountFrequency (%)
0 32
0.5%
31 3
 
< 0.1%
33 2
 
< 0.1%
34 1
 
< 0.1%
35 1
 
< 0.1%
36 1
 
< 0.1%
42 3
 
< 0.1%
43 1
 
< 0.1%
44 1
 
< 0.1%
46 2
 
< 0.1%
ValueCountFrequency (%)
9613 1
< 0.1%
8209 1
< 0.1%
7500 1
< 0.1%
7241 1
< 0.1%
7015 1
< 0.1%
6925 1
< 0.1%
6694 1
< 0.1%
6433 1
< 0.1%
6379 1
< 0.1%
6332 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1832
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean679.41732
Minimum0
Maximum6247
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:02.952040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile103
Q1268
median514.5
Q3883
95-th percentile1854.8
Maximum6247
Range6247
Interquartile range (IQR)615

Descriptive statistics

Standard deviation600.43722
Coefficient of variation (CV)0.88375319
Kurtosis7.584136
Mean679.41732
Median Absolute Deviation (MAD)282.5
Skewness2.1993644
Sum4519484
Variance360524.85
MonotonicityNot monotonic
2023-12-12T15:01:03.110574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
111 16
 
0.2%
310 15
 
0.2%
329 14
 
0.2%
348 14
 
0.2%
170 14
 
0.2%
195 14
 
0.2%
610 13
 
0.2%
368 13
 
0.2%
497 13
 
0.2%
Other values (1822) 6494
97.6%
ValueCountFrequency (%)
0 32
0.5%
9 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 2
 
< 0.1%
18 4
 
0.1%
19 1
 
< 0.1%
23 3
 
< 0.1%
24 3
 
< 0.1%
ValueCountFrequency (%)
6247 1
< 0.1%
5320 1
< 0.1%
5074 1
< 0.1%
4986 1
< 0.1%
4774 1
< 0.1%
4701 1
< 0.1%
4411 1
< 0.1%
4265 1
< 0.1%
4204 1
< 0.1%
4192 1
< 0.1%

23시이후
Real number (ℝ)

Distinct1128
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.71287
Minimum0
Maximum3270
Zeros32
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T15:01:03.284635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.55
Q1107
median232
Q3433
95-th percentile911.45
Maximum3270
Range3270
Interquartile range (IQR)326

Descriptive statistics

Standard deviation318.46611
Coefficient of variation (CV)0.98684045
Kurtosis9.4130564
Mean322.71287
Median Absolute Deviation (MAD)143
Skewness2.4485706
Sum2146686
Variance101420.67
MonotonicityNot monotonic
2023-12-12T15:01:03.423389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.5%
87 30
 
0.5%
76 30
 
0.5%
95 26
 
0.4%
90 25
 
0.4%
131 25
 
0.4%
99 25
 
0.4%
81 25
 
0.4%
136 24
 
0.4%
123 24
 
0.4%
Other values (1118) 6386
96.0%
ValueCountFrequency (%)
0 32
0.5%
2 1
 
< 0.1%
3 4
 
0.1%
4 5
 
0.1%
5 2
 
< 0.1%
6 5
 
0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
10 8
 
0.1%
ValueCountFrequency (%)
3270 1
< 0.1%
3102 1
< 0.1%
2584 1
< 0.1%
2530 1
< 0.1%
2493 1
< 0.1%
2454 1
< 0.1%
2441 1
< 0.1%
2434 2
< 0.1%
2414 1
< 0.1%
2382 1
< 0.1%

Sample

연번해당월호선역번호역명구분6시이전6시-7시7시-8시8시-9시9시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시이후
0111150서울역승차2629309646168350842112312163181758018788174572136919429174081259582246394530032371455
1211150서울역하차22537938909810008122321445017167184011865117676170501558612076915760593866275716111158
2311151시청승차61594910641084207832194864656291871274316540158671136878354608361230951196486
3411151시청하차1337267336146376792599921220813507138491308182655381388124031042712543238222
4511152종각승차7651045117016402761478584821098414285189402390021899156731127576496124537832561171
5611152종각하차21714472505486901370216137185271793215795145241046480706815437721251072600321285
6711153종로3가승차124216111950300454771199419028277133465942443457114587738892301812129514671961362472414
7811153종로3가하차155252986039104551879429947459705152145021407033008321413155508202364720291238695554
8911154종로5가승차773106015252303502197881563621402281693306433112295832592919090122847319493529791087
91011154종로5가하차165249176642110961727123759303103120226684267002334217666117665888287914721078533319
연번해당월호선역번호역명구분6시이전6시-7시7시-8시8시-9시9시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시이후
664266431282823남한산성입구(성남법원.검찰청)승차3998429147494915444446394367401445144376392632402221168691668343219571
664366441282823남한산성입구(성남법원.검찰청)하차5601422155820832683334737104257378042886221664249423880271615291405761300
664466451282824단대오거리승차32663381409337893745398138003525381836263132282523561728110365445824529
664566461282824단대오거리하차649195920871942198129153255321832723652579254754131329020751232951523191
664666471282825신흥승차1363120415771657194819722233218223862627257422021923127477256830117552
664766481282825신흥하차355957795111014712051235021712550298035193168214817691129762543338115
664866491282826수진승차141215541909189719042600249126912452234425152231173212406244992417659
664966501282826수진하차2171063117116801823203323982105283726363133290919331544998542589266113
665066511282827모란승차674115410731177181121952858292334693719513339992623151486547532619126
665166521282827모란하차2801003932123615332282268325283422328526532028141676846031521311649