Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory238.0 B

Variable types

Numeric22
DateTime1
Categorical2
Text1

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12921/F/1/datasetView.do

Alerts

24시 이후 is highly skewed (γ1 = 27.63939717)Skewed
연번 has unique valuesUnique
24시 이후 has 899 (9.0%) zerosZeros

Reproduction

Analysis started2024-04-29 16:37:36.421354
Analysis finished2024-04-29 16:37:36.904353
Duration0.48 seconds
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%
Mean25130.338
Minimum4
Maximum50237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:36.976695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile2626.75
Q112696.75
median25045.5
Q337656
95-th percentile47666.2
Maximum50237
Range50233
Interquartile range (IQR)24959.25

Descriptive statistics

Standard deviation14463.967
Coefficient of variation (CV)0.57555799
Kurtosis-1.1968415
Mean25130.338
Median Absolute Deviation (MAD)12485
Skewness9.6338417 × 10-5
Sum2.5130338 × 108
Variance2.0920634 × 108
MonotonicityNot monotonic
2024-04-30T01:37:37.112469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1297 1
 
< 0.1%
23436 1
 
< 0.1%
38504 1
 
< 0.1%
3608 1
 
< 0.1%
7760 1
 
< 0.1%
33509 1
 
< 0.1%
42001 1
 
< 0.1%
19981 1
 
< 0.1%
44999 1
 
< 0.1%
36122 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
24 1
< 0.1%
40 1
< 0.1%
49 1
< 0.1%
50 1
< 0.1%
59 1
< 0.1%
61 1
< 0.1%
ValueCountFrequency (%)
50237 1
< 0.1%
50232 1
< 0.1%
50218 1
< 0.1%
50211 1
< 0.1%
50209 1
< 0.1%
50200 1
< 0.1%
50193 1
< 0.1%
50190 1
< 0.1%
50176 1
< 0.1%
50172 1
< 0.1%

날짜
Date

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-11-01 00:00:00
Maximum2024-01-31 00:00:00
2024-04-30T01:37:37.232643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:37:37.386425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호선
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5호선
2080 
2호선
1796 
7호선
1513 
6호선
1372 
3호선
1246 
Other values (3)
1993 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4호선
2nd row7호선
3rd row3호선
4th row4호선
5th row6호선

Common Values

ValueCountFrequency (%)
5호선 2080
20.8%
2호선 1796
18.0%
7호선 1513
15.1%
6호선 1372
13.7%
3호선 1246
12.5%
4호선 938
9.4%
8호선 673
 
6.7%
1호선 382
 
3.8%

Length

2024-04-30T01:37:37.510202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:37:37.608018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5호선 2080
20.8%
2호선 1796
18.0%
7호선 1513
15.1%
6호선 1372
13.7%
3호선 1246
12.5%
4호선 938
9.4%
8호선 673
 
6.7%
1호선 382
 
3.8%

역번호
Real number (ℝ)

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1618.22
Minimum150
Maximum2828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:37.728513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile203
Q1317
median2527
Q32641
95-th percentile2815
Maximum2828
Range2678
Interquartile range (IQR)2324

Descriptive statistics

Standard deviation1172.4048
Coefficient of variation (CV)0.72450275
Kurtosis-1.9102664
Mean1618.22
Median Absolute Deviation (MAD)284
Skewness-0.25191376
Sum16182200
Variance1374533.1
MonotonicityNot monotonic
2024-04-30T01:37:37.869567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2520 50
 
0.5%
2543 49
 
0.5%
330 49
 
0.5%
2628 47
 
0.5%
2524 47
 
0.5%
202 47
 
0.5%
2512 47
 
0.5%
309 46
 
0.5%
2644 46
 
0.5%
2739 46
 
0.5%
Other values (265) 9526
95.3%
ValueCountFrequency (%)
150 39
0.4%
151 27
0.3%
152 31
0.3%
153 45
0.4%
154 40
0.4%
155 38
0.4%
156 45
0.4%
157 43
0.4%
158 38
0.4%
159 36
0.4%
ValueCountFrequency (%)
2828 43
0.4%
2827 35
0.4%
2826 45
0.4%
2825 42
0.4%
2824 33
0.3%
2823 37
0.4%
2822 35
0.4%
2821 40
0.4%
2820 33
0.3%
2819 35
0.4%

역명
Text

Distinct241
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:37:38.095761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.3833
Min length2

Characters and Unicode

Total characters43833
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 row길음
2nd row하계
3rd row지축
4th row이촌(국립중앙박물관)
5th row태릉입구
ValueCountFrequency (%)
종로3가 125
 
1.2%
동대문역사문화공원(ddp 107
 
1.1%
교대(법원.검찰청 92
 
0.9%
신설동 85
 
0.9%
영등포구청 85
 
0.9%
잠실(송파구청 84
 
0.8%
건대입구 79
 
0.8%
사당 79
 
0.8%
노원 76
 
0.8%
불광 75
 
0.8%
Other values (231) 9113
91.1%
2024-04-30T01:37:38.466267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2280
 
5.2%
( 2280
 
5.2%
구 1772
 
4.0%
대 1749
 
4.0%
동 1215
 
2.8%
청 1096
 
2.5%
신 906
 
2.1%
원 873
 
2.0%
산 722
 
1.6%
문 704
 
1.6%
Other values (230) 30236
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38487
87.8%
Close Punctuation 2280
 
5.2%
Open Punctuation 2280
 
5.2%
Uppercase Letter 321
 
0.7%
Decimal Number 303
 
0.7%
Other Punctuation 162
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1772
 
4.6%
대 1749
 
4.5%
동 1215
 
3.2%
청 1096
 
2.8%
신 906
 
2.4%
원 873
 
2.3%
산 722
 
1.9%
문 704
 
1.8%
입 683
 
1.8%
로 634
 
1.6%
Other values (221) 28133
73.1%
Decimal Number
ValueCountFrequency (%)
3 189
62.4%
4 74
 
24.4%
5 40
 
13.2%
Uppercase Letter
ValueCountFrequency (%)
D 214
66.7%
P 107
33.3%
Other Punctuation
ValueCountFrequency (%)
. 129
79.6%
· 33
 
20.4%
Close Punctuation
ValueCountFrequency (%)
) 2280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38487
87.8%
Common 5025
 
11.5%
Latin 321
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1772
 
4.6%
대 1749
 
4.5%
동 1215
 
3.2%
청 1096
 
2.8%
신 906
 
2.4%
원 873
 
2.3%
산 722
 
1.9%
문 704
 
1.8%
입 683
 
1.8%
로 634
 
1.6%
Other values (221) 28133
73.1%
Common
ValueCountFrequency (%)
) 2280
45.4%
( 2280
45.4%
3 189
 
3.8%
. 129
 
2.6%
4 74
 
1.5%
5 40
 
0.8%
· 33
 
0.7%
Latin
ValueCountFrequency (%)
D 214
66.7%
P 107
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38487
87.8%
ASCII 5313
 
12.1%
None 33
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2280
42.9%
( 2280
42.9%
D 214
 
4.0%
3 189
 
3.6%
. 129
 
2.4%
P 107
 
2.0%
4 74
 
1.4%
5 40
 
0.8%
Hangul
ValueCountFrequency (%)
구 1772
 
4.6%
대 1749
 
4.5%
동 1215
 
3.2%
청 1096
 
2.8%
신 906
 
2.4%
원 873
 
2.3%
산 722
 
1.9%
문 704
 
1.8%
입 683
 
1.8%
로 634
 
1.6%
Other values (221) 28133
73.1%
None
ValueCountFrequency (%)
· 33
100.0%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5023 
하차
4977 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5023
50.2%
하차 4977
49.8%

Length

2024-04-30T01:37:38.584335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:37:38.673992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5023
50.2%
하차 4977
49.8%

06시 이전
Real number (ℝ)

Distinct763
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.4906
Minimum0
Maximum2311
Zeros53
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:39.054397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q132
median67
Q3154
95-th percentile436
Maximum2311
Range2311
Interquartile range (IQR)122

Descriptive statistics

Standard deviation181.55219
Coefficient of variation (CV)1.3913047
Kurtosis22.055253
Mean130.4906
Median Absolute Deviation (MAD)44
Skewness3.9095127
Sum1304906
Variance32961.198
MonotonicityNot monotonic
2024-04-30T01:37:39.201169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 128
 
1.3%
33 127
 
1.3%
28 117
 
1.2%
29 117
 
1.2%
26 115
 
1.1%
31 110
 
1.1%
32 109
 
1.1%
34 108
 
1.1%
39 104
 
1.0%
30 104
 
1.0%
Other values (753) 8861
88.6%
ValueCountFrequency (%)
0 53
0.5%
1 26
0.3%
2 35
0.4%
3 36
0.4%
4 32
0.3%
5 38
0.4%
6 48
0.5%
7 63
0.6%
8 51
0.5%
9 62
0.6%
ValueCountFrequency (%)
2311 1
< 0.1%
2192 1
< 0.1%
1694 1
< 0.1%
1629 1
< 0.1%
1600 1
< 0.1%
1592 1
< 0.1%
1574 1
< 0.1%
1552 1
< 0.1%
1542 1
< 0.1%
1517 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct1425
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.1145
Minimum0
Maximum3086
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:39.328026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile51
Q1124
median233
Q3455
95-th percentile1095.05
Maximum3086
Range3086
Interquartile range (IQR)331

Descriptive statistics

Standard deviation369.05627
Coefficient of variation (CV)1.0276841
Kurtosis7.445005
Mean359.1145
Median Absolute Deviation (MAD)132
Skewness2.3999383
Sum3591145
Variance136202.53
MonotonicityNot monotonic
2024-04-30T01:37:39.448597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138 43
 
0.4%
94 39
 
0.4%
101 38
 
0.4%
117 37
 
0.4%
157 37
 
0.4%
116 36
 
0.4%
130 36
 
0.4%
82 36
 
0.4%
120 35
 
0.4%
136 35
 
0.4%
Other values (1415) 9628
96.3%
ValueCountFrequency (%)
0 31
0.3%
5 2
 
< 0.1%
8 2
 
< 0.1%
9 3
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 7
 
0.1%
13 2
 
< 0.1%
14 3
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
3086 1
< 0.1%
2912 1
< 0.1%
2861 1
< 0.1%
2852 1
< 0.1%
2766 1
< 0.1%
2726 1
< 0.1%
2704 1
< 0.1%
2660 1
< 0.1%
2640 1
< 0.1%
2619 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct2705
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean890.6504
Minimum0
Maximum8768
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:39.569461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72
Q1211
median448
Q31085
95-th percentile3173.5
Maximum8768
Range8768
Interquartile range (IQR)874

Descriptive statistics

Standard deviation1129.3459
Coefficient of variation (CV)1.2680013
Kurtosis8.5852497
Mean890.6504
Median Absolute Deviation (MAD)305
Skewness2.6468166
Sum8906504
Variance1275422.1
MonotonicityNot monotonic
2024-04-30T01:37:39.697375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
149 25
 
0.2%
210 23
 
0.2%
142 22
 
0.2%
309 21
 
0.2%
206 21
 
0.2%
156 21
 
0.2%
198 21
 
0.2%
220 21
 
0.2%
91 21
 
0.2%
Other values (2695) 9773
97.7%
ValueCountFrequency (%)
0 31
0.3%
7 3
 
< 0.1%
9 3
 
< 0.1%
13 2
 
< 0.1%
14 2
 
< 0.1%
15 2
 
< 0.1%
16 1
 
< 0.1%
17 4
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
8768 1
< 0.1%
8478 1
< 0.1%
8259 1
< 0.1%
8241 1
< 0.1%
8138 1
< 0.1%
8045 1
< 0.1%
7947 1
< 0.1%
7941 1
< 0.1%
7880 1
< 0.1%
7781 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct3545
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1547.0772
Minimum0
Maximum19012
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:39.825166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q1373
median844.5
Q31803.25
95-th percentile5568.1
Maximum19012
Range19012
Interquartile range (IQR)1430.25

Descriptive statistics

Standard deviation2155.1505
Coefficient of variation (CV)1.3930465
Kurtosis17.149957
Mean1547.0772
Median Absolute Deviation (MAD)559.5
Skewness3.6146178
Sum15470772
Variance4644673.6
MonotonicityNot monotonic
2024-04-30T01:37:39.958432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
416 16
 
0.2%
332 15
 
0.1%
137 15
 
0.1%
215 15
 
0.1%
352 15
 
0.1%
418 15
 
0.1%
309 15
 
0.1%
543 14
 
0.1%
125 14
 
0.1%
Other values (3535) 9835
98.4%
ValueCountFrequency (%)
0 31
0.3%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
19 1
 
< 0.1%
23 1
 
< 0.1%
27 5
 
0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
19012 1
< 0.1%
18929 1
< 0.1%
18762 1
< 0.1%
18492 1
< 0.1%
18323 1
< 0.1%
18286 1
< 0.1%
18258 1
< 0.1%
18209 1
< 0.1%
18126 1
< 0.1%
17920 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct2691
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1027.3552
Minimum0
Maximum15010
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:40.094593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile140
Q1348
median623
Q31172.25
95-th percentile3338.05
Maximum15010
Range15010
Interquartile range (IQR)824.25

Descriptive statistics

Standard deviation1359.5285
Coefficient of variation (CV)1.3233285
Kurtosis28.894737
Mean1027.3552
Median Absolute Deviation (MAD)341
Skewness4.4883495
Sum10273552
Variance1848317.6
MonotonicityNot monotonic
2024-04-30T01:37:40.222389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
440 18
 
0.2%
529 17
 
0.2%
223 17
 
0.2%
474 17
 
0.2%
386 17
 
0.2%
458 17
 
0.2%
442 17
 
0.2%
289 17
 
0.2%
306 17
 
0.2%
Other values (2681) 9815
98.2%
ValueCountFrequency (%)
0 31
0.3%
11 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 2
 
< 0.1%
25 1
 
< 0.1%
27 2
 
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
15010 1
< 0.1%
14895 1
< 0.1%
14835 1
< 0.1%
14780 1
< 0.1%
14633 1
< 0.1%
14630 1
< 0.1%
14612 1
< 0.1%
14511 1
< 0.1%
14247 1
< 0.1%
14149 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct2114
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.0622
Minimum0
Maximum6397
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:40.356455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile132
Q1305
median529
Q3850
95-th percentile2079
Maximum6397
Range6397
Interquartile range (IQR)545

Descriptive statistics

Standard deviation680.02057
Coefficient of variation (CV)0.9563447
Kurtosis13.53541
Mean711.0622
Median Absolute Deviation (MAD)255
Skewness2.989401
Sum7110622
Variance462427.97
MonotonicityNot monotonic
2024-04-30T01:37:40.475774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
347 25
 
0.2%
169 25
 
0.2%
319 22
 
0.2%
531 22
 
0.2%
350 21
 
0.2%
334 21
 
0.2%
336 20
 
0.2%
577 19
 
0.2%
339 19
 
0.2%
Other values (2104) 9775
97.8%
ValueCountFrequency (%)
0 31
0.3%
16 1
 
< 0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
26 1
 
< 0.1%
27 2
 
< 0.1%
28 2
 
< 0.1%
29 2
 
< 0.1%
31 2
 
< 0.1%
32 1
 
< 0.1%
ValueCountFrequency (%)
6397 1
< 0.1%
6349 1
< 0.1%
6305 1
< 0.1%
6290 1
< 0.1%
6261 1
< 0.1%
6222 1
< 0.1%
6220 1
< 0.1%
6131 1
< 0.1%
6065 1
< 0.1%
6050 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct2059
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean691.9236
Minimum0
Maximum6500
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:40.652967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile130
Q1304
median523
Q3854.25
95-th percentile1958.05
Maximum6500
Range6500
Interquartile range (IQR)550.25

Descriptive statistics

Standard deviation610.42903
Coefficient of variation (CV)0.88222028
Kurtosis9.2983086
Mean691.9236
Median Absolute Deviation (MAD)252
Skewness2.4931551
Sum6919236
Variance372623.6
MonotonicityNot monotonic
2024-04-30T01:37:40.847785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
279 26
 
0.3%
391 22
 
0.2%
376 21
 
0.2%
361 21
 
0.2%
558 21
 
0.2%
178 19
 
0.2%
216 18
 
0.2%
174 18
 
0.2%
450 18
 
0.2%
Other values (2049) 9785
97.9%
ValueCountFrequency (%)
0 31
0.3%
20 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
26 1
 
< 0.1%
27 2
 
< 0.1%
29 2
 
< 0.1%
30 2
 
< 0.1%
31 1
 
< 0.1%
32 1
 
< 0.1%
ValueCountFrequency (%)
6500 1
< 0.1%
5943 1
< 0.1%
5697 1
< 0.1%
5677 1
< 0.1%
5580 1
< 0.1%
5237 1
< 0.1%
5173 1
< 0.1%
5167 1
< 0.1%
5044 1
< 0.1%
4600 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct2110
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean739.3472
Minimum0
Maximum8820
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:40.978416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile142
Q1334
median568.5
Q3914
95-th percentile1997.05
Maximum8820
Range8820
Interquartile range (IQR)580

Descriptive statistics

Standard deviation637.57354
Coefficient of variation (CV)0.86234659
Kurtosis13.054552
Mean739.3472
Median Absolute Deviation (MAD)269.5
Skewness2.7190936
Sum7393472
Variance406500.02
MonotonicityNot monotonic
2024-04-30T01:37:41.125837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
299 25
 
0.2%
364 23
 
0.2%
286 23
 
0.2%
245 22
 
0.2%
306 21
 
0.2%
270 20
 
0.2%
264 20
 
0.2%
388 20
 
0.2%
486 19
 
0.2%
Other values (2100) 9776
97.8%
ValueCountFrequency (%)
0 31
0.3%
22 4
 
< 0.1%
30 1
 
< 0.1%
35 1
 
< 0.1%
36 1
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 2
 
< 0.1%
42 4
 
< 0.1%
ValueCountFrequency (%)
8820 1
< 0.1%
8110 1
< 0.1%
6440 1
< 0.1%
6153 1
< 0.1%
6063 1
< 0.1%
5788 1
< 0.1%
5612 1
< 0.1%
5385 1
< 0.1%
5233 1
< 0.1%
5158 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct2211
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean784.4988
Minimum0
Maximum9029
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:41.265522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile151
Q1358
median600
Q3967.25
95-th percentile2060
Maximum9029
Range9029
Interquartile range (IQR)609.25

Descriptive statistics

Standard deviation681.98979
Coefficient of variation (CV)0.86933184
Kurtosis13.940419
Mean784.4988
Median Absolute Deviation (MAD)283
Skewness2.8196818
Sum7844988
Variance465110.07
MonotonicityNot monotonic
2024-04-30T01:37:41.380035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
471 20
 
0.2%
275 20
 
0.2%
384 20
 
0.2%
498 20
 
0.2%
290 20
 
0.2%
279 20
 
0.2%
477 19
 
0.2%
520 19
 
0.2%
252 18
 
0.2%
Other values (2201) 9793
97.9%
ValueCountFrequency (%)
0 31
0.3%
22 1
 
< 0.1%
25 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
31 2
 
< 0.1%
35 1
 
< 0.1%
36 3
 
< 0.1%
37 1
 
< 0.1%
39 2
 
< 0.1%
ValueCountFrequency (%)
9029 1
< 0.1%
8793 1
< 0.1%
7183 1
< 0.1%
6857 1
< 0.1%
6528 1
< 0.1%
6276 1
< 0.1%
6157 1
< 0.1%
6137 1
< 0.1%
6136 1
< 0.1%
5870 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct2216
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean786.0036
Minimum0
Maximum9312
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:41.508379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile149
Q1354
median587
Q3975.25
95-th percentile2055.05
Maximum9312
Range9312
Interquartile range (IQR)621.25

Descriptive statistics

Standard deviation690.41397
Coefficient of variation (CV)0.87838525
Kurtosis14.443182
Mean786.0036
Median Absolute Deviation (MAD)281
Skewness2.8526476
Sum7860036
Variance476671.45
MonotonicityNot monotonic
2024-04-30T01:37:41.630364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
423 21
 
0.2%
577 21
 
0.2%
370 21
 
0.2%
325 21
 
0.2%
331 20
 
0.2%
278 20
 
0.2%
479 20
 
0.2%
357 20
 
0.2%
458 20
 
0.2%
Other values (2206) 9785
97.9%
ValueCountFrequency (%)
0 31
0.3%
20 2
 
< 0.1%
23 1
 
< 0.1%
31 1
 
< 0.1%
34 2
 
< 0.1%
36 1
 
< 0.1%
37 3
 
< 0.1%
38 3
 
< 0.1%
39 3
 
< 0.1%
41 2
 
< 0.1%
ValueCountFrequency (%)
9312 1
< 0.1%
8485 1
< 0.1%
7370 1
< 0.1%
7150 1
< 0.1%
6806 1
< 0.1%
6730 1
< 0.1%
6723 1
< 0.1%
6397 1
< 0.1%
6056 1
< 0.1%
5835 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct2387
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean863.0436
Minimum0
Maximum8587
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:41.749599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile162.95
Q1388
median643
Q31066
95-th percentile2265.1
Maximum8587
Range8587
Interquartile range (IQR)678

Descriptive statistics

Standard deviation768.6958
Coefficient of variation (CV)0.89068015
Kurtosis12.66945
Mean863.0436
Median Absolute Deviation (MAD)306
Skewness2.8111973
Sum8630436
Variance590893.23
MonotonicityNot monotonic
2024-04-30T01:37:41.869893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
297 19
 
0.2%
318 19
 
0.2%
328 17
 
0.2%
436 17
 
0.2%
314 17
 
0.2%
645 17
 
0.2%
476 17
 
0.2%
506 17
 
0.2%
595 17
 
0.2%
Other values (2377) 9812
98.1%
ValueCountFrequency (%)
0 31
0.3%
24 1
 
< 0.1%
30 1
 
< 0.1%
32 1
 
< 0.1%
33 2
 
< 0.1%
34 1
 
< 0.1%
35 4
 
< 0.1%
36 1
 
< 0.1%
38 1
 
< 0.1%
40 1
 
< 0.1%
ValueCountFrequency (%)
8587 1
< 0.1%
8189 1
< 0.1%
8133 1
< 0.1%
7996 1
< 0.1%
7361 1
< 0.1%
6893 1
< 0.1%
6878 1
< 0.1%
6553 1
< 0.1%
6493 1
< 0.1%
6420 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct2627
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean994.4231
Minimum0
Maximum9695
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:42.002251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile179.95
Q1446
median746.5
Q31229
95-th percentile2669
Maximum9695
Range9695
Interquartile range (IQR)783

Descriptive statistics

Standard deviation890.30748
Coefficient of variation (CV)0.89530048
Kurtosis11.953377
Mean994.4231
Median Absolute Deviation (MAD)355
Skewness2.7809917
Sum9944231
Variance792647.41
MonotonicityNot monotonic
2024-04-30T01:37:42.125798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
592 19
 
0.2%
418 16
 
0.2%
535 16
 
0.2%
570 16
 
0.2%
583 16
 
0.2%
436 16
 
0.2%
761 16
 
0.2%
371 15
 
0.1%
484 15
 
0.1%
Other values (2617) 9824
98.2%
ValueCountFrequency (%)
0 31
0.3%
25 2
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
41 1
 
< 0.1%
42 2
 
< 0.1%
44 1
 
< 0.1%
45 1
 
< 0.1%
46 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
9695 1
< 0.1%
9079 1
< 0.1%
8920 1
< 0.1%
8230 1
< 0.1%
8086 1
< 0.1%
7818 1
< 0.1%
7724 1
< 0.1%
7221 1
< 0.1%
7160 1
< 0.1%
7154 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct3137
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1281.8015
Minimum0
Maximum10961
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:42.241931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile202
Q1515.75
median883
Q31546
95-th percentile3868.3
Maximum10961
Range10961
Interquartile range (IQR)1030.25

Descriptive statistics

Standard deviation1318.915
Coefficient of variation (CV)1.0289542
Kurtosis12.219778
Mean1281.8015
Median Absolute Deviation (MAD)443
Skewness2.9987897
Sum12818015
Variance1739536.9
MonotonicityNot monotonic
2024-04-30T01:37:42.599329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
496 18
 
0.2%
518 17
 
0.2%
494 17
 
0.2%
563 15
 
0.1%
525 15
 
0.1%
458 14
 
0.1%
555 14
 
0.1%
634 13
 
0.1%
360 13
 
0.1%
Other values (3127) 9833
98.3%
ValueCountFrequency (%)
0 31
0.3%
31 1
 
< 0.1%
35 1
 
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
41 1
 
< 0.1%
42 1
 
< 0.1%
43 2
 
< 0.1%
46 1
 
< 0.1%
47 2
 
< 0.1%
ValueCountFrequency (%)
10961 1
< 0.1%
10554 1
< 0.1%
10529 1
< 0.1%
10385 1
< 0.1%
10373 1
< 0.1%
10297 1
< 0.1%
10238 1
< 0.1%
10237 1
< 0.1%
10231 1
< 0.1%
10200 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct3662
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1626.3973
Minimum0
Maximum15336
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:42.709813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile187
Q1543
median1021
Q31944
95-th percentile5233.1
Maximum15336
Range15336
Interquartile range (IQR)1401

Descriptive statistics

Standard deviation1886.1595
Coefficient of variation (CV)1.1597163
Kurtosis12.182294
Mean1626.3973
Median Absolute Deviation (MAD)596
Skewness3.0613369
Sum16263973
Variance3557597.5
MonotonicityNot monotonic
2024-04-30T01:37:42.841567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
743 15
 
0.1%
392 13
 
0.1%
605 13
 
0.1%
447 12
 
0.1%
401 12
 
0.1%
309 12
 
0.1%
717 11
 
0.1%
422 11
 
0.1%
302 11
 
0.1%
Other values (3652) 9859
98.6%
ValueCountFrequency (%)
0 31
0.3%
25 1
 
< 0.1%
27 3
 
< 0.1%
32 2
 
< 0.1%
33 1
 
< 0.1%
34 1
 
< 0.1%
35 2
 
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
ValueCountFrequency (%)
15336 1
< 0.1%
15121 1
< 0.1%
14727 1
< 0.1%
14615 1
< 0.1%
14518 1
< 0.1%
14421 1
< 0.1%
14353 1
< 0.1%
14211 1
< 0.1%
14207 1
< 0.1%
14165 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct2781
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1008.914
Minimum0
Maximum9434
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:42.983181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile119
Q1330
median657
Q31243
95-th percentile3145.5
Maximum9434
Range9434
Interquartile range (IQR)913

Descriptive statistics

Standard deviation1105.6118
Coefficient of variation (CV)1.0958434
Kurtosis10.353805
Mean1008.914
Median Absolute Deviation (MAD)380
Skewness2.7867503
Sum10089140
Variance1222377.4
MonotonicityNot monotonic
2024-04-30T01:37:43.118738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
210 19
 
0.2%
305 18
 
0.2%
511 18
 
0.2%
540 18
 
0.2%
433 17
 
0.2%
311 17
 
0.2%
253 17
 
0.2%
317 17
 
0.2%
332 17
 
0.2%
Other values (2771) 9811
98.1%
ValueCountFrequency (%)
0 31
0.3%
16 1
 
< 0.1%
18 2
 
< 0.1%
19 1
 
< 0.1%
22 2
 
< 0.1%
23 2
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
26 4
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
9434 1
< 0.1%
9158 1
< 0.1%
8943 1
< 0.1%
8912 1
< 0.1%
8879 1
< 0.1%
8787 1
< 0.1%
8769 1
< 0.1%
8582 1
< 0.1%
8482 1
< 0.1%
8419 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct2197
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.182
Minimum0
Maximum8179
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:43.242483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93
Q1249
median461.5
Q3855
95-th percentile2281.05
Maximum8179
Range8179
Interquartile range (IQR)606

Descriptive statistics

Standard deviation805.7366
Coefficient of variation (CV)1.129777
Kurtosis14.879588
Mean713.182
Median Absolute Deviation (MAD)258.5
Skewness3.2594656
Sum7131820
Variance649211.47
MonotonicityNot monotonic
2024-04-30T01:37:43.383393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
274 25
 
0.2%
110 22
 
0.2%
258 22
 
0.2%
262 22
 
0.2%
194 21
 
0.2%
385 21
 
0.2%
221 21
 
0.2%
237 21
 
0.2%
179 21
 
0.2%
Other values (2187) 9773
97.7%
ValueCountFrequency (%)
0 31
0.3%
8 1
 
< 0.1%
13 1
 
< 0.1%
15 2
 
< 0.1%
17 2
 
< 0.1%
18 3
 
< 0.1%
19 5
 
0.1%
20 2
 
< 0.1%
21 5
 
0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
8179 1
< 0.1%
7674 1
< 0.1%
7529 1
< 0.1%
7480 1
< 0.1%
7368 1
< 0.1%
7247 1
< 0.1%
7053 1
< 0.1%
6938 1
< 0.1%
6717 1
< 0.1%
6707 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct2105
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660.0227
Minimum0
Maximum9208
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:43.521472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile79.95
Q1223
median425
Q3766
95-th percentile2137
Maximum9208
Range9208
Interquartile range (IQR)543

Descriptive statistics

Standard deviation784.59133
Coefficient of variation (CV)1.1887339
Kurtosis21.428659
Mean660.0227
Median Absolute Deviation (MAD)242
Skewness3.743063
Sum6600227
Variance615583.56
MonotonicityNot monotonic
2024-04-30T01:37:43.635335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
191 25
 
0.2%
153 24
 
0.2%
132 23
 
0.2%
371 23
 
0.2%
205 23
 
0.2%
304 22
 
0.2%
293 22
 
0.2%
305 22
 
0.2%
192 22
 
0.2%
Other values (2095) 9763
97.6%
ValueCountFrequency (%)
0 31
0.3%
6 1
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
14 6
 
0.1%
15 4
 
< 0.1%
16 3
 
< 0.1%
ValueCountFrequency (%)
9208 1
< 0.1%
9059 1
< 0.1%
9056 1
< 0.1%
8373 1
< 0.1%
8333 1
< 0.1%
7894 1
< 0.1%
7764 1
< 0.1%
7671 1
< 0.1%
7587 1
< 0.1%
7514 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1900
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.6972
Minimum0
Maximum9305
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:43.749195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q1174
median357.5
Q3670
95-th percentile1743
Maximum9305
Range9305
Interquartile range (IQR)496

Descriptive statistics

Standard deviation673.77951
Coefficient of variation (CV)1.2146798
Kurtosis28.16713
Mean554.6972
Median Absolute Deviation (MAD)215.5
Skewness4.1415754
Sum5546972
Variance453978.83
MonotonicityNot monotonic
2024-04-30T01:37:43.881275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
116 29
 
0.3%
126 28
 
0.3%
148 27
 
0.3%
98 27
 
0.3%
117 27
 
0.3%
130 26
 
0.3%
300 25
 
0.2%
136 25
 
0.2%
115 25
 
0.2%
Other values (1890) 9730
97.3%
ValueCountFrequency (%)
0 31
0.3%
6 1
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 4
 
< 0.1%
11 4
 
< 0.1%
12 5
 
0.1%
13 8
 
0.1%
14 5
 
0.1%
ValueCountFrequency (%)
9305 1
< 0.1%
8764 1
< 0.1%
8537 1
< 0.1%
8358 1
< 0.1%
8353 1
< 0.1%
8079 1
< 0.1%
7225 1
< 0.1%
7220 1
< 0.1%
7049 1
< 0.1%
6701 1
< 0.1%

23시-24시
Real number (ℝ)

Distinct1258
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.154
Minimum0
Maximum5454
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:44.025806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q186
median192
Q3371
95-th percentile913.1
Maximum5454
Range5454
Interquartile range (IQR)285

Descriptive statistics

Standard deviation361.37821
Coefficient of variation (CV)1.2202375
Kurtosis28.869895
Mean296.154
Median Absolute Deviation (MAD)125
Skewness4.1035661
Sum2961540
Variance130594.21
MonotonicityNot monotonic
2024-04-30T01:37:44.171027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 56
 
0.6%
32 46
 
0.5%
63 45
 
0.4%
64 44
 
0.4%
40 43
 
0.4%
67 42
 
0.4%
49 42
 
0.4%
58 42
 
0.4%
89 41
 
0.4%
35 40
 
0.4%
Other values (1248) 9559
95.6%
ValueCountFrequency (%)
0 31
0.3%
1 3
 
< 0.1%
2 3
 
< 0.1%
3 9
 
0.1%
4 9
 
0.1%
5 17
0.2%
6 26
0.3%
7 11
 
0.1%
8 14
0.1%
9 16
0.2%
ValueCountFrequency (%)
5454 1
< 0.1%
5118 1
< 0.1%
4655 1
< 0.1%
4586 1
< 0.1%
4390 1
< 0.1%
4312 1
< 0.1%
4303 1
< 0.1%
3971 1
< 0.1%
3344 1
< 0.1%
3270 1
< 0.1%

24시 이후
Real number (ℝ)

SKEWED  ZEROS 

Distinct573
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.8868
Minimum0
Maximum10721
Zeros899
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:37:44.292882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q3106
95-th percentile286
Maximum10721
Range10721
Interquartile range (IQR)96

Descriptive statistics

Standard deviation177.28621
Coefficient of variation (CV)2.1388956
Kurtosis1442.2861
Mean82.8868
Median Absolute Deviation (MAD)37
Skewness27.639397
Sum828868
Variance31430.4
MonotonicityNot monotonic
2024-04-30T01:37:44.418834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
 
9.0%
1 399
 
4.0%
2 241
 
2.4%
3 167
 
1.7%
4 139
 
1.4%
6 135
 
1.4%
5 132
 
1.3%
17 127
 
1.3%
10 121
 
1.2%
11 121
 
1.2%
Other values (563) 7519
75.2%
ValueCountFrequency (%)
0 899
9.0%
1 399
4.0%
2 241
 
2.4%
3 167
 
1.7%
4 139
 
1.4%
5 132
 
1.3%
6 135
 
1.4%
7 101
 
1.0%
8 112
 
1.1%
9 112
 
1.1%
ValueCountFrequency (%)
10721 1
< 0.1%
6047 1
< 0.1%
2688 1
< 0.1%
2581 1
< 0.1%
2331 1
< 0.1%
2166 1
< 0.1%
1877 1
< 0.1%
1542 2
< 0.1%
1428 1
< 0.1%
1402 1
< 0.1%

Sample

연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시 이후
129612972023-11-034호선417길음승차4021437398036971948119098710331044955112612521426144971351843246213628
48488484892024-01-287호선2717하계승차140206339564683837714944798883812760627515328340218178490
35070350712024-01-043호선309지축승차128472134212715423583033314473123243604873412061631801227117
897289732023-11-174호선430이촌(국립중앙박물관)승차4316851478147739236535643753667888111029303322672501507612
44649446502024-01-216호선2646태릉입구하차1468957710815917418622729328829630729123125225620019528
27776277772023-12-217호선2729건대입구승차141196540847668587620671710775965118116851379907885101369437588
209520962023-11-047호선2726중곡하차1810917828726635339137237444848657064269854039258439227813
29470294712023-12-248호선2815잠실(송파구청)승차6076811441942503585998101343179821472433285625242437226115304140
22583225842023-12-124호선409당고개하차01802214213052763433543714035526197301179967635564547364172
320432052023-11-067호선2734논현승차7116534955841742546051850970487310942550448521751303121199241187
연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시-24시24시 이후
49932499332024-01-315호선2512개화산승차16932791290944227630430032925428430457160924116111099327
141414152023-11-035호선2552명일승차218624159015397255634895074063804525435335502872211821996021
15738157392023-11-297호선2721중화승차333622166520679985454905355204714716546877474512902141636317
40598405992024-01-143호선342오금승차58731031982442572262812931921981801931148678663460
472147222023-11-095호선2566하남검단산하차59316353126125726628630624234529156958581340930524427596
10996109972023-11-212호선226사당승차463115334294325308020371573162818061947202221623024391624842200240321651254243
870387042023-11-167호선2751천왕하차35209338526413272310342388390566759129620491604754645628412117
25942259432023-12-185호선2525영등포시장승차120239101315526013803774424084826137751037156749546038025511013
26924269252023-12-203호선327신사승차124235477692545725877102511081363168719773533520536232427289226071329224
684068412023-11-135호선2534광화문(세종문화회관)승차581153885604495577799071238153320282549489410006314322812016115439762