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 memory239.0 B

Variable types

Numeric23
DateTime1
Text1
Categorical1

Dataset

Description지하철의 1호선 ~ 8호선 역별, 일자별 시간대별 승하차 인원 정보를 제공합니다. 역번호, 역명, 승하차구분명 등의 정보를 제공합니다.
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7GZ08I0JWSNPY5NVMLLG24313533&infSeq=1

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:16:01.328748
Analysis finished2023-12-10 21:16:01.831218
Duration0.5 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%
Mean40680.243
Minimum9
Maximum82176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:01.915784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile3840.9
Q120111.25
median40515.5
Q361181.5
95-th percentile78024.4
Maximum82176
Range82167
Interquartile range (IQR)41070.25

Descriptive statistics

Standard deviation23785.577
Coefficient of variation (CV)0.58469604
Kurtosis-1.1980864
Mean40680.243
Median Absolute Deviation (MAD)20514.5
Skewness0.015018549
Sum4.0680243 × 108
Variance5.6575366 × 108
MonotonicityNot monotonic
2023-12-11T06:16:02.097686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18281 1
 
< 0.1%
29926 1
 
< 0.1%
38228 1
 
< 0.1%
54910 1
 
< 0.1%
49739 1
 
< 0.1%
43411 1
 
< 0.1%
52005 1
 
< 0.1%
52479 1
 
< 0.1%
39873 1
 
< 0.1%
18950 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
14 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
30 1
< 0.1%
44 1
< 0.1%
54 1
< 0.1%
56 1
< 0.1%
59 1
< 0.1%
63 1
< 0.1%
ValueCountFrequency (%)
82176 1
< 0.1%
82170 1
< 0.1%
82159 1
< 0.1%
82158 1
< 0.1%
82152 1
< 0.1%
82148 1
< 0.1%
82146 1
< 0.1%
82135 1
< 0.1%
82121 1
< 0.1%
82101 1
< 0.1%

날짜
Date

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-05-28 00:00:00
2023-12-11T06:16:02.242947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:16:02.415606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호선
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6679
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:02.550579image/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 deviation2.0193606
Coefficient of variation (CV)0.4326058
Kurtosis-1.2006827
Mean4.6679
Median Absolute Deviation (MAD)2
Skewness-0.10662503
Sum46679
Variance4.0778174
MonotonicityNot monotonic
2023-12-11T06:16:02.668002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 1985
19.9%
7 1869
18.7%
2 1825
18.2%
6 1288
12.9%
3 1184
11.8%
4 895
8.9%
8 601
 
6.0%
1 353
 
3.5%
ValueCountFrequency (%)
1 353
 
3.5%
2 1825
18.2%
3 1184
11.8%
4 895
8.9%
5 1985
19.9%
6 1288
12.9%
7 1869
18.7%
8 601
 
6.0%
ValueCountFrequency (%)
8 601
 
6.0%
7 1869
18.7%
6 1288
12.9%
5 1985
19.9%
4 895
8.9%
3 1184
11.8%
2 1825
18.2%
1 353
 
3.5%

역번호
Real number (ℝ)

Distinct283
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1646.1162
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:02.810553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1318
median2532
Q32648
95-th percentile2813
Maximum2827
Range2677
Interquartile range (IQR)2330

Descriptive statistics

Standard deviation1172.743
Coefficient of variation (CV)0.71243029
Kurtosis-1.8871235
Mean1646.1162
Median Absolute Deviation (MAD)226
Skewness-0.29481611
Sum16461162
Variance1375326.2
MonotonicityNot monotonic
2023-12-11T06:16:02.961773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 55
 
0.5%
219 49
 
0.5%
325 49
 
0.5%
2754 49
 
0.5%
2736 49
 
0.5%
2547 48
 
0.5%
2812 47
 
0.5%
2737 47
 
0.5%
2714 47
 
0.5%
324 46
 
0.5%
Other values (273) 9514
95.1%
ValueCountFrequency (%)
150 38
0.4%
151 30
0.3%
152 30
0.3%
153 35
0.4%
154 32
0.3%
155 43
0.4%
156 34
0.3%
157 36
0.4%
158 36
0.4%
159 39
0.4%
ValueCountFrequency (%)
2827 41
0.4%
2826 44
0.4%
2825 34
0.3%
2824 38
0.4%
2823 22
0.2%
2822 28
0.3%
2821 35
0.4%
2820 33
0.3%
2819 38
0.4%
2818 36
0.4%

역명
Text

Distinct248
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:16:03.221519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4616
Min length2

Characters and Unicode

Total characters44616
Distinct characters242
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row천호(풍납토성)
2nd row보문
3rd row방화
4th row역촌
5th row천호(풍납토성)
ValueCountFrequency (%)
종로3가 115
 
1.1%
동대문역사문화공원(ddp 112
 
1.1%
천호(풍납토성 82
 
0.8%
충정로(경기대입구 81
 
0.8%
고속터미널 81
 
0.8%
을지로4가 79
 
0.8%
잠실(송파구청 78
 
0.8%
동묘앞 76
 
0.8%
태릉입구 76
 
0.8%
서울역 74
 
0.7%
Other values (238) 9146
91.5%
2023-12-11T06:16:03.639820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2344
 
5.3%
) 2344
 
5.3%
구 1846
 
4.1%
대 1792
 
4.0%
동 1261
 
2.8%
청 1132
 
2.5%
신 850
 
1.9%
원 770
 
1.7%
문 738
 
1.7%
산 732
 
1.6%
Other values (232) 30807
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39188
87.8%
Open Punctuation 2344
 
5.3%
Close Punctuation 2344
 
5.3%
Uppercase Letter 336
 
0.8%
Decimal Number 300
 
0.7%
Other Punctuation 104
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1846
 
4.7%
대 1792
 
4.6%
동 1261
 
3.2%
청 1132
 
2.9%
신 850
 
2.2%
원 770
 
2.0%
문 738
 
1.9%
산 732
 
1.9%
입 703
 
1.8%
로 627
 
1.6%
Other values (223) 28737
73.3%
Decimal Number
ValueCountFrequency (%)
3 189
63.0%
4 79
26.3%
5 32
 
10.7%
Uppercase Letter
ValueCountFrequency (%)
D 224
66.7%
P 112
33.3%
Other Punctuation
ValueCountFrequency (%)
. 93
89.4%
· 11
 
10.6%
Open Punctuation
ValueCountFrequency (%)
( 2344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39188
87.8%
Common 5092
 
11.4%
Latin 336
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1846
 
4.7%
대 1792
 
4.6%
동 1261
 
3.2%
청 1132
 
2.9%
신 850
 
2.2%
원 770
 
2.0%
문 738
 
1.9%
산 732
 
1.9%
입 703
 
1.8%
로 627
 
1.6%
Other values (223) 28737
73.3%
Common
ValueCountFrequency (%)
( 2344
46.0%
) 2344
46.0%
3 189
 
3.7%
. 93
 
1.8%
4 79
 
1.6%
5 32
 
0.6%
· 11
 
0.2%
Latin
ValueCountFrequency (%)
D 224
66.7%
P 112
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39188
87.8%
ASCII 5417
 
12.1%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2344
43.3%
) 2344
43.3%
D 224
 
4.1%
3 189
 
3.5%
P 112
 
2.1%
. 93
 
1.7%
4 79
 
1.5%
5 32
 
0.6%
Hangul
ValueCountFrequency (%)
구 1846
 
4.7%
대 1792
 
4.6%
동 1261
 
3.2%
청 1132
 
2.9%
신 850
 
2.2%
원 770
 
2.0%
문 738
 
1.9%
산 732
 
1.9%
입 703
 
1.8%
로 627
 
1.6%
Other values (223) 28737
73.3%
None
ValueCountFrequency (%)
· 11
100.0%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5005 
하차
4995 

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 5005
50.0%
하차 4995
50.0%

Length

2023-12-11T06:16:03.809876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:16:03.929377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5005
50.0%
하차 4995
50.0%

06시 이전
Real number (ℝ)

Distinct682
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.7283
Minimum0
Maximum1597
Zeros76
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:04.052470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q126
median54
Q3131
95-th percentile362
Maximum1597
Range1597
Interquartile range (IQR)105

Descriptive statistics

Standard deviation162.9471
Coefficient of variation (CV)1.4850052
Kurtosis26.944287
Mean109.7283
Median Absolute Deviation (MAD)36
Skewness4.3916147
Sum1097283
Variance26551.757
MonotonicityNot monotonic
2023-12-11T06:16:04.248421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 141
 
1.4%
30 133
 
1.3%
26 131
 
1.3%
20 127
 
1.3%
24 126
 
1.3%
25 124
 
1.2%
17 120
 
1.2%
11 118
 
1.2%
18 118
 
1.2%
14 114
 
1.1%
Other values (672) 8748
87.5%
ValueCountFrequency (%)
0 76
0.8%
1 46
0.5%
2 22
 
0.2%
3 27
 
0.3%
4 57
0.6%
5 62
0.6%
6 60
0.6%
7 86
0.9%
8 101
1.0%
9 98
1.0%
ValueCountFrequency (%)
1597 1
< 0.1%
1568 1
< 0.1%
1563 1
< 0.1%
1559 1
< 0.1%
1557 1
< 0.1%
1556 1
< 0.1%
1550 1
< 0.1%
1544 1
< 0.1%
1542 1
< 0.1%
1532 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct1288
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.1998
Minimum0
Maximum3095
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:04.449742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q1102
median199
Q3388
95-th percentile950
Maximum3095
Range3095
Interquartile range (IQR)286

Descriptive statistics

Standard deviation332.04656
Coefficient of variation (CV)1.0773743
Kurtosis9.7913219
Mean308.1998
Median Absolute Deviation (MAD)118
Skewness2.6516865
Sum3081998
Variance110254.92
MonotonicityNot monotonic
2023-12-11T06:16:04.610652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 49
 
0.5%
114 44
 
0.4%
80 44
 
0.4%
105 43
 
0.4%
51 41
 
0.4%
66 40
 
0.4%
96 40
 
0.4%
72 38
 
0.4%
60 38
 
0.4%
73 38
 
0.4%
Other values (1278) 9585
95.9%
ValueCountFrequency (%)
0 32
0.3%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 4
 
< 0.1%
9 6
 
0.1%
10 3
 
< 0.1%
11 5
 
0.1%
ValueCountFrequency (%)
3095 1
< 0.1%
3036 1
< 0.1%
2976 1
< 0.1%
2943 1
< 0.1%
2811 1
< 0.1%
2768 1
< 0.1%
2732 1
< 0.1%
2662 1
< 0.1%
2599 1
< 0.1%
2577 2
< 0.1%

07시-08시
Real number (ℝ)

Distinct2549
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean789.6556
Minimum0
Maximum8862
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:04.736727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52
Q1171
median389
Q3970
95-th percentile2848.15
Maximum8862
Range8862
Interquartile range (IQR)799

Descriptive statistics

Standard deviation1033.2278
Coefficient of variation (CV)1.3084537
Kurtosis9.3622388
Mean789.6556
Median Absolute Deviation (MAD)277
Skewness2.7221954
Sum7896556
Variance1067559.7
MonotonicityNot monotonic
2023-12-11T06:16:04.863034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
100 29
 
0.3%
68 28
 
0.3%
159 27
 
0.3%
79 27
 
0.3%
104 26
 
0.3%
110 26
 
0.3%
66 25
 
0.2%
124 25
 
0.2%
85 25
 
0.2%
Other values (2539) 9730
97.3%
ValueCountFrequency (%)
0 32
0.3%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 3
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
8862 1
< 0.1%
8674 1
< 0.1%
8416 1
< 0.1%
8324 1
< 0.1%
8248 1
< 0.1%
8181 1
< 0.1%
8134 1
< 0.1%
7965 1
< 0.1%
7912 1
< 0.1%
7824 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct3308
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1366.8374
Minimum0
Maximum18747
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:04.994721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile85
Q1292
median719
Q31572.25
95-th percentile5148.1
Maximum18747
Range18747
Interquartile range (IQR)1280.25

Descriptive statistics

Standard deviation2008.0115
Coefficient of variation (CV)1.4690931
Kurtosis17.583003
Mean1366.8374
Median Absolute Deviation (MAD)503
Skewness3.6880524
Sum13668374
Variance4032110
MonotonicityNot monotonic
2023-12-11T06:16:05.162910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
261 20
 
0.2%
220 20
 
0.2%
135 19
 
0.2%
99 18
 
0.2%
118 18
 
0.2%
175 17
 
0.2%
146 17
 
0.2%
124 17
 
0.2%
73 16
 
0.2%
Other values (3298) 9806
98.1%
ValueCountFrequency (%)
0 32
0.3%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
17 1
 
< 0.1%
19 3
 
< 0.1%
20 2
 
< 0.1%
ValueCountFrequency (%)
18747 1
< 0.1%
18669 1
< 0.1%
18477 1
< 0.1%
18373 1
< 0.1%
18201 1
< 0.1%
18124 1
< 0.1%
17977 1
< 0.1%
17975 1
< 0.1%
17815 1
< 0.1%
17717 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct2417
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean846.417
Minimum0
Maximum13564
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:05.299777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile94
Q1259
median498
Q3952
95-th percentile2849.25
Maximum13564
Range13564
Interquartile range (IQR)693

Descriptive statistics

Standard deviation1201.4664
Coefficient of variation (CV)1.4194734
Kurtosis29.732186
Mean846.417
Median Absolute Deviation (MAD)291
Skewness4.6183004
Sum8464170
Variance1443521.5
MonotonicityNot monotonic
2023-12-11T06:16:05.447074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
274 23
 
0.2%
319 23
 
0.2%
209 22
 
0.2%
278 22
 
0.2%
173 21
 
0.2%
283 20
 
0.2%
218 20
 
0.2%
242 20
 
0.2%
323 20
 
0.2%
Other values (2407) 9777
97.8%
ValueCountFrequency (%)
0 32
0.3%
11 1
 
< 0.1%
13 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
18 2
 
< 0.1%
19 2
 
< 0.1%
20 1
 
< 0.1%
21 2
 
< 0.1%
22 4
 
< 0.1%
ValueCountFrequency (%)
13564 1
< 0.1%
13417 1
< 0.1%
13287 1
< 0.1%
13262 1
< 0.1%
13257 1
< 0.1%
12997 1
< 0.1%
12821 1
< 0.1%
12741 1
< 0.1%
12511 1
< 0.1%
12154 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct1768
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean535.3606
Minimum0
Maximum5784
Zeros30
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:05.822973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89
Q1219
median389
Q3647
95-th percentile1581.05
Maximum5784
Range5784
Interquartile range (IQR)428

Descriptive statistics

Standard deviation524.55289
Coefficient of variation (CV)0.97981227
Kurtosis15.780053
Mean535.3606
Median Absolute Deviation (MAD)200
Skewness3.1422335
Sum5353606
Variance275155.73
MonotonicityNot monotonic
2023-12-11T06:16:05.983258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152 31
 
0.3%
0 30
 
0.3%
177 27
 
0.3%
170 25
 
0.2%
159 25
 
0.2%
174 25
 
0.2%
165 25
 
0.2%
273 24
 
0.2%
259 24
 
0.2%
479 24
 
0.2%
Other values (1758) 9740
97.4%
ValueCountFrequency (%)
0 30
0.3%
3 1
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
16 1
 
< 0.1%
18 4
 
< 0.1%
19 1
 
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
5784 1
< 0.1%
5711 1
< 0.1%
5629 1
< 0.1%
5559 1
< 0.1%
5519 1
< 0.1%
5478 1
< 0.1%
5450 1
< 0.1%
5429 1
< 0.1%
5389 1
< 0.1%
5179 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1670
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean509.2887
Minimum0
Maximum4268
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:06.118655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93
Q1223
median384
Q3627
95-th percentile1413.05
Maximum4268
Range4268
Interquartile range (IQR)404

Descriptive statistics

Standard deviation445.34556
Coefficient of variation (CV)0.87444618
Kurtosis9.1417511
Mean509.2887
Median Absolute Deviation (MAD)187
Skewness2.4764125
Sum5092887
Variance198332.67
MonotonicityNot monotonic
2023-12-11T06:16:06.252569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
262 25
 
0.2%
257 25
 
0.2%
312 24
 
0.2%
154 24
 
0.2%
194 24
 
0.2%
372 24
 
0.2%
269 24
 
0.2%
147 23
 
0.2%
226 23
 
0.2%
Other values (1660) 9753
97.5%
ValueCountFrequency (%)
0 31
0.3%
4 1
 
< 0.1%
11 1
 
< 0.1%
17 2
 
< 0.1%
19 2
 
< 0.1%
20 2
 
< 0.1%
21 2
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
4268 1
< 0.1%
4216 1
< 0.1%
4173 1
< 0.1%
4007 1
< 0.1%
3762 1
< 0.1%
3736 1
< 0.1%
3701 1
< 0.1%
3648 1
< 0.1%
3614 1
< 0.1%
3567 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1718
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean547.2703
Minimum0
Maximum5835
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:06.415554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile107
Q1253
median420
Q3668
95-th percentile1470.05
Maximum5835
Range5835
Interquartile range (IQR)415

Descriptive statistics

Standard deviation464.47892
Coefficient of variation (CV)0.84871939
Kurtosis11.51863
Mean547.2703
Median Absolute Deviation (MAD)197
Skewness2.5947629
Sum5472703
Variance215740.66
MonotonicityNot monotonic
2023-12-11T06:16:06.547094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
309 27
 
0.3%
391 27
 
0.3%
227 26
 
0.3%
179 24
 
0.2%
330 24
 
0.2%
351 24
 
0.2%
303 24
 
0.2%
139 23
 
0.2%
356 23
 
0.2%
Other values (1708) 9746
97.5%
ValueCountFrequency (%)
0 32
0.3%
17 1
 
< 0.1%
18 1
 
< 0.1%
20 2
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
30 5
 
0.1%
32 1
 
< 0.1%
33 1
 
< 0.1%
34 2
 
< 0.1%
ValueCountFrequency (%)
5835 1
< 0.1%
5395 1
< 0.1%
4669 1
< 0.1%
4554 1
< 0.1%
4514 1
< 0.1%
4309 1
< 0.1%
4251 1
< 0.1%
4218 1
< 0.1%
3794 1
< 0.1%
3744 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1829
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean589.3054
Minimum0
Maximum6114
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:06.709286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile117
Q1269
median443
Q3722
95-th percentile1583
Maximum6114
Range6114
Interquartile range (IQR)453

Descriptive statistics

Standard deviation509.69931
Coefficient of variation (CV)0.86491538
Kurtosis12.768375
Mean589.3054
Median Absolute Deviation (MAD)208
Skewness2.7211735
Sum5893054
Variance259793.38
MonotonicityNot monotonic
2023-12-11T06:16:06.848729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
309 25
 
0.2%
389 25
 
0.2%
399 25
 
0.2%
242 24
 
0.2%
387 24
 
0.2%
190 24
 
0.2%
360 24
 
0.2%
319 23
 
0.2%
256 22
 
0.2%
Other values (1819) 9753
97.5%
ValueCountFrequency (%)
0 31
0.3%
1 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
23 2
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
27 2
 
< 0.1%
28 3
 
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
6114 1
< 0.1%
5932 1
< 0.1%
5878 1
< 0.1%
5191 1
< 0.1%
5033 1
< 0.1%
4943 1
< 0.1%
4606 1
< 0.1%
4604 1
< 0.1%
4401 1
< 0.1%
4360 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1855
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.269
Minimum0
Maximum6158
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:06.990973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile117
Q1265
median441
Q3724
95-th percentile1631
Maximum6158
Range6158
Interquartile range (IQR)459

Descriptive statistics

Standard deviation512.62979
Coefficient of variation (CV)0.86699927
Kurtosis11.5418
Mean591.269
Median Absolute Deviation (MAD)210
Skewness2.6206829
Sum5912690
Variance262789.3
MonotonicityNot monotonic
2023-12-11T06:16:07.130693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
204 27
 
0.3%
271 25
 
0.2%
391 25
 
0.2%
414 24
 
0.2%
177 24
 
0.2%
239 23
 
0.2%
358 22
 
0.2%
389 22
 
0.2%
277 22
 
0.2%
Other values (1845) 9755
97.5%
ValueCountFrequency (%)
0 31
0.3%
12 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
22 2
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
28 2
 
< 0.1%
ValueCountFrequency (%)
6158 1
< 0.1%
5912 1
< 0.1%
5310 1
< 0.1%
5027 1
< 0.1%
5010 1
< 0.1%
4704 1
< 0.1%
4647 1
< 0.1%
4535 1
< 0.1%
4327 1
< 0.1%
4228 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1946
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637.6553
Minimum0
Maximum6197
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:07.291792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile123
Q1287
median478
Q3791
95-th percentile1745.05
Maximum6197
Range6197
Interquartile range (IQR)504

Descriptive statistics

Standard deviation556.51316
Coefficient of variation (CV)0.87274921
Kurtosis10.87177
Mean637.6553
Median Absolute Deviation (MAD)223
Skewness2.6056487
Sum6376553
Variance309706.9
MonotonicityNot monotonic
2023-12-11T06:16:07.441389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.3%
258 26
 
0.3%
206 23
 
0.2%
370 22
 
0.2%
300 22
 
0.2%
235 22
 
0.2%
275 22
 
0.2%
337 21
 
0.2%
259 21
 
0.2%
346 21
 
0.2%
Other values (1936) 9769
97.7%
ValueCountFrequency (%)
0 31
0.3%
13 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
23 2
 
< 0.1%
24 2
 
< 0.1%
26 2
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
6197 1
< 0.1%
5768 1
< 0.1%
5222 1
< 0.1%
5052 1
< 0.1%
5042 1
< 0.1%
5041 1
< 0.1%
4940 1
< 0.1%
4904 1
< 0.1%
4881 1
< 0.1%
4721 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct2139
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.7938
Minimum0
Maximum6046
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:07.607281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile136
Q1318
median539
Q3898
95-th percentile2039.15
Maximum6046
Range6046
Interquartile range (IQR)580

Descriptive statistics

Standard deviation642.86264
Coefficient of variation (CV)0.88818478
Kurtosis9.8316439
Mean723.7938
Median Absolute Deviation (MAD)259
Skewness2.574096
Sum7237938
Variance413272.37
MonotonicityNot monotonic
2023-12-11T06:16:07.789121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
215 23
 
0.2%
285 22
 
0.2%
394 22
 
0.2%
455 21
 
0.2%
400 21
 
0.2%
316 20
 
0.2%
261 20
 
0.2%
451 20
 
0.2%
457 19
 
0.2%
Other values (2129) 9780
97.8%
ValueCountFrequency (%)
0 32
0.3%
15 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
23 2
 
< 0.1%
26 1
 
< 0.1%
29 1
 
< 0.1%
30 1
 
< 0.1%
33 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
6046 1
< 0.1%
6031 1
< 0.1%
5851 1
< 0.1%
5847 1
< 0.1%
5783 1
< 0.1%
5517 1
< 0.1%
5457 1
< 0.1%
5416 1
< 0.1%
5236 1
< 0.1%
5098 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct2604
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.0666
Minimum0
Maximum9504
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:08.003883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile148
Q1362
median651
Q31133.25
95-th percentile2913.1
Maximum9504
Range9504
Interquartile range (IQR)771.25

Descriptive statistics

Standard deviation1026.1492
Coefficient of variation (CV)1.0744269
Kurtosis14.303897
Mean955.0666
Median Absolute Deviation (MAD)339
Skewness3.2143756
Sum9550666
Variance1052982.2
MonotonicityNot monotonic
2023-12-11T06:16:08.155059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
232 20
 
0.2%
411 20
 
0.2%
257 19
 
0.2%
319 18
 
0.2%
293 18
 
0.2%
612 18
 
0.2%
252 17
 
0.2%
609 17
 
0.2%
327 17
 
0.2%
Other values (2594) 9804
98.0%
ValueCountFrequency (%)
0 32
0.3%
18 1
 
< 0.1%
21 2
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 3
 
< 0.1%
33 3
 
< 0.1%
34 1
 
< 0.1%
35 2
 
< 0.1%
ValueCountFrequency (%)
9504 1
< 0.1%
9361 1
< 0.1%
9266 1
< 0.1%
9202 1
< 0.1%
8629 1
< 0.1%
8608 1
< 0.1%
8607 1
< 0.1%
8590 1
< 0.1%
8447 1
< 0.1%
8364 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct3299
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1361.4525
Minimum0
Maximum14865
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:08.312896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile136.95
Q1388
median799
Q31579
95-th percentile4573.15
Maximum14865
Range14865
Interquartile range (IQR)1191

Descriptive statistics

Standard deviation1759.5738
Coefficient of variation (CV)1.292424
Kurtosis15.973636
Mean1361.4525
Median Absolute Deviation (MAD)501
Skewness3.4791695
Sum13614525
Variance3096100.1
MonotonicityNot monotonic
2023-12-11T06:16:08.482430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
307 15
 
0.1%
175 15
 
0.1%
384 15
 
0.1%
187 14
 
0.1%
578 14
 
0.1%
357 14
 
0.1%
388 14
 
0.1%
262 14
 
0.1%
254 14
 
0.1%
Other values (3289) 9839
98.4%
ValueCountFrequency (%)
0 32
0.3%
12 1
 
< 0.1%
14 1
 
< 0.1%
16 2
 
< 0.1%
20 2
 
< 0.1%
22 4
 
< 0.1%
25 2
 
< 0.1%
26 2
 
< 0.1%
28 4
 
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
14865 1
< 0.1%
14826 1
< 0.1%
14673 1
< 0.1%
14665 1
< 0.1%
14518 1
< 0.1%
14400 1
< 0.1%
14306 1
< 0.1%
14281 1
< 0.1%
14269 1
< 0.1%
14227 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct2587
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean860.6394
Minimum0
Maximum9036
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:08.635943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91
Q1251
median515
Q31046.25
95-th percentile2793.25
Maximum9036
Range9036
Interquartile range (IQR)795.25

Descriptive statistics

Standard deviation1019.3962
Coefficient of variation (CV)1.1844637
Kurtosis12.002659
Mean860.6394
Median Absolute Deviation (MAD)318
Skewness2.9537008
Sum8606394
Variance1039168.5
MonotonicityNot monotonic
2023-12-11T06:16:08.770328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
0.3%
260 22
 
0.2%
166 21
 
0.2%
237 20
 
0.2%
218 20
 
0.2%
195 20
 
0.2%
168 20
 
0.2%
340 20
 
0.2%
174 19
 
0.2%
325 19
 
0.2%
Other values (2577) 9787
97.9%
ValueCountFrequency (%)
0 32
0.3%
5 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
14 4
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
9036 1
< 0.1%
8859 1
< 0.1%
8842 1
< 0.1%
8763 1
< 0.1%
8748 1
< 0.1%
8740 1
< 0.1%
8696 1
< 0.1%
8647 1
< 0.1%
8570 1
< 0.1%
8542 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct1942
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568.4647
Minimum0
Maximum8046
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:08.920857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69
Q1183
median358
Q3696
95-th percentile1844.15
Maximum8046
Range8046
Interquartile range (IQR)513

Descriptive statistics

Standard deviation660.78509
Coefficient of variation (CV)1.162403
Kurtosis17.018815
Mean568.4647
Median Absolute Deviation (MAD)211
Skewness3.3417296
Sum5684647
Variance436636.93
MonotonicityNot monotonic
2023-12-11T06:16:09.068710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113 32
 
0.3%
0 32
 
0.3%
208 30
 
0.3%
188 28
 
0.3%
150 27
 
0.3%
158 27
 
0.3%
181 26
 
0.3%
139 25
 
0.2%
168 25
 
0.2%
226 25
 
0.2%
Other values (1932) 9723
97.2%
ValueCountFrequency (%)
0 32
0.3%
5 1
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
11 3
 
< 0.1%
12 1
 
< 0.1%
13 2
 
< 0.1%
14 2
 
< 0.1%
15 4
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
8046 1
< 0.1%
7747 1
< 0.1%
7400 1
< 0.1%
6501 1
< 0.1%
6378 1
< 0.1%
6326 1
< 0.1%
6307 1
< 0.1%
6281 1
< 0.1%
6214 1
< 0.1%
5989 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct1977
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean567.1789
Minimum0
Maximum10862
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:09.220601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65
Q1179
median352
Q3671.25
95-th percentile1917.2
Maximum10862
Range10862
Interquartile range (IQR)492.25

Descriptive statistics

Standard deviation707.44163
Coefficient of variation (CV)1.2472989
Kurtosis32.126767
Mean567.1789
Median Absolute Deviation (MAD)207
Skewness4.3212771
Sum5671789
Variance500473.67
MonotonicityNot monotonic
2023-12-11T06:16:09.627687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147 33
 
0.3%
0 32
 
0.3%
165 27
 
0.3%
164 27
 
0.3%
108 25
 
0.2%
151 25
 
0.2%
137 25
 
0.2%
131 25
 
0.2%
140 24
 
0.2%
208 24
 
0.2%
Other values (1967) 9733
97.3%
ValueCountFrequency (%)
0 32
0.3%
5 1
 
< 0.1%
7 3
 
< 0.1%
8 1
 
< 0.1%
9 4
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 3
 
< 0.1%
14 2
 
< 0.1%
ValueCountFrequency (%)
10862 1
< 0.1%
9590 1
< 0.1%
9290 1
< 0.1%
8626 1
< 0.1%
8581 1
< 0.1%
8114 1
< 0.1%
8094 1
< 0.1%
8078 1
< 0.1%
7983 1
< 0.1%
7966 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1675
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442.0131
Minimum0
Maximum9603
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:09.775910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.95
Q1125
median257
Q3544
95-th percentile1458.2
Maximum9603
Range9603
Interquartile range (IQR)419

Descriptive statistics

Standard deviation590.30461
Coefficient of variation (CV)1.3354912
Kurtosis44.841553
Mean442.0131
Median Absolute Deviation (MAD)167
Skewness5.0020841
Sum4420131
Variance348459.53
MonotonicityNot monotonic
2023-12-11T06:16:09.924562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 36
 
0.4%
135 36
 
0.4%
90 34
 
0.3%
166 34
 
0.3%
58 33
 
0.3%
67 33
 
0.3%
54 32
 
0.3%
93 32
 
0.3%
53 32
 
0.3%
0 32
 
0.3%
Other values (1665) 9666
96.7%
ValueCountFrequency (%)
0 32
0.3%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 5
 
0.1%
6 6
 
0.1%
7 8
 
0.1%
8 8
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9603 1
< 0.1%
9365 1
< 0.1%
8844 1
< 0.1%
8238 1
< 0.1%
7831 1
< 0.1%
7563 1
< 0.1%
7449 1
< 0.1%
7314 1
< 0.1%
7301 1
< 0.1%
7213 1
< 0.1%

23시 이후
Real number (ℝ)

Distinct819
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.1334
Minimum0
Maximum2507
Zeros33
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:10.065932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q141
median88
Q3188
95-th percentile479.1
Maximum2507
Range2507
Interquartile range (IQR)147

Descriptive statistics

Standard deviation184.11617
Coefficient of variation (CV)1.2263505
Kurtosis19.097537
Mean150.1334
Median Absolute Deviation (MAD)58
Skewness3.4453726
Sum1501334
Variance33898.764
MonotonicityNot monotonic
2023-12-11T06:16:10.217667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 89
 
0.9%
32 86
 
0.9%
19 84
 
0.8%
25 83
 
0.8%
26 82
 
0.8%
31 82
 
0.8%
27 79
 
0.8%
20 78
 
0.8%
16 77
 
0.8%
50 76
 
0.8%
Other values (809) 9184
91.8%
ValueCountFrequency (%)
0 33
0.3%
1 6
 
0.1%
2 11
 
0.1%
3 25
0.2%
4 23
0.2%
5 21
0.2%
6 23
0.2%
7 42
0.4%
8 50
0.5%
9 49
0.5%
ValueCountFrequency (%)
2507 1
< 0.1%
2421 1
< 0.1%
2185 1
< 0.1%
1982 1
< 0.1%
1742 1
< 0.1%
1701 1
< 0.1%
1609 1
< 0.1%
1574 1
< 0.1%
1516 1
< 0.1%
1506 1
< 0.1%

합 계
Real number (ℝ)

Distinct8107
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12459.73
Minimum0
Maximum89891
Zeros30
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:16:10.390615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2128.85
Q15201.25
median9375.5
Q315654
95-th percentile33933.8
Maximum89891
Range89891
Interquartile range (IQR)10452.75

Descriptive statistics

Standard deviation11020.289
Coefficient of variation (CV)0.88447256
Kurtosis7.4198314
Mean12459.73
Median Absolute Deviation (MAD)4763.5
Skewness2.3172178
Sum1.245973 × 108
Variance1.2144677 × 108
MonotonicityNot monotonic
2023-12-11T06:16:10.565122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
0.3%
4783 7
 
0.1%
5822 5
 
0.1%
3867 5
 
0.1%
6989 5
 
0.1%
9360 5
 
0.1%
9573 4
 
< 0.1%
13803 4
 
< 0.1%
9100 4
 
< 0.1%
8006 4
 
< 0.1%
Other values (8097) 9927
99.3%
ValueCountFrequency (%)
0 30
0.3%
24 1
 
< 0.1%
31 1
 
< 0.1%
260 1
 
< 0.1%
306 1
 
< 0.1%
329 1
 
< 0.1%
337 1
 
< 0.1%
375 1
 
< 0.1%
418 1
 
< 0.1%
441 1
 
< 0.1%
ValueCountFrequency (%)
89891 1
< 0.1%
87089 1
< 0.1%
85791 1
< 0.1%
84740 1
< 0.1%
83164 1
< 0.1%
83087 1
< 0.1%
82843 1
< 0.1%
82748 1
< 0.1%
82428 1
< 0.1%
82390 1
< 0.1%

Sample

연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시 이후합 계
18280182812021-02-0282812천호(풍납토성)승차38162116202320116760150856156361464468588410536236925571575414305
68949689502021-05-0462639보문하차411583417843662261832082641962602764347387573773584352566658
19106191072021-02-0452511방화승차1654361127101747931326134529827527032033741212611310748226471
21987219882021-02-0962612역촌하차763113351139127134129130155209230319620564267368215774217
78394783952021-05-2152548천호(풍납토성)승차217393101813917655917438478919661123122415971851132112231014102619118392
44665446662021-03-2252521목동하차46243618110377750443653365464780110421444351224291257105895535118410
403540362021-01-083325옥수하차361212515703662292392422912413284187431209818494546193857420
26809268102021-02-183339수서하차6646510412209106167455163059658575479810641673127876168866823815800
52993529942021-04-063339수서하차8259813742289113670463459062063870685211031687131174366482025516806
19863198642021-02-0572722상봉(시외버스터미널)하차462764961242690490518549600615675884113123892104934118559326915686
연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시 이후합 계
57691576922021-04-1462629삼각지하차351825991009338181184198201152177203313528285208212272935370
37916379172021-03-103341경찰병원승차912969561044536450350276338358396397574922282218234143167877
247824792021-01-0552521목동승차2436752175263410106335445445155075656127429394814464591423813904
35729357302021-03-064425회현(남대문시장)하차233415661005196621542291218918871805144793562833019210794843818082
79530795312021-05-2352554상일동승차111155296479549635580606656500442455364301203146134105226739
69786697872021-05-063310구파발승차37212733588327614559138489238558399681174137010126214754393636720831
64956649572021-04-2752561마천승차23048112741141485312276257276203233285295358133108713386459
71336713372021-05-0882822산성승차121140229337364284317280290284299266294181103966634103995
72885728862021-05-1162645석계하차73182338527395339341444451519671820104020961780101878582144713087
60904609052021-04-204429신용산승차5613745966445636545645352557965788118483696161598994567010815559