Overview

Dataset statistics

Number of variables42
Number of observations1704
Missing cells611
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory624.2 KiB
Average record size in memory375.1 B

Variable types

Categorical2
Numeric39
Text1

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12928/F/1/datasetView.do

Alerts

05시30분 has 57 (3.3%) missing valuesMissing
23시30분 has 29 (1.7%) missing valuesMissing
05시30분 has 23 (1.3%) zerosZeros
06시00분 has 33 (1.9%) zerosZeros
06시30분 has 30 (1.8%) zerosZeros
07시00분 has 30 (1.8%) zerosZeros
07시30분 has 30 (1.8%) zerosZeros
08시00분 has 30 (1.8%) zerosZeros
08시30분 has 30 (1.8%) zerosZeros
09시00분 has 30 (1.8%) zerosZeros
09시30분 has 30 (1.8%) zerosZeros
10시00분 has 30 (1.8%) zerosZeros
10시30분 has 30 (1.8%) zerosZeros
11시00분 has 30 (1.8%) zerosZeros
11시30분 has 30 (1.8%) zerosZeros
12시00분 has 30 (1.8%) zerosZeros
12시30분 has 30 (1.8%) zerosZeros
13시00분 has 30 (1.8%) zerosZeros
13시30분 has 30 (1.8%) zerosZeros
14시00분 has 30 (1.8%) zerosZeros
14시30분 has 30 (1.8%) zerosZeros
15시00분 has 30 (1.8%) zerosZeros
15시30분 has 30 (1.8%) zerosZeros
16시00분 has 30 (1.8%) zerosZeros
16시30분 has 30 (1.8%) zerosZeros
17시00분 has 30 (1.8%) zerosZeros
17시30분 has 30 (1.8%) zerosZeros
18시00분 has 30 (1.8%) zerosZeros
18시30분 has 30 (1.8%) zerosZeros
19시00분 has 30 (1.8%) zerosZeros
19시30분 has 30 (1.8%) zerosZeros
20시00분 has 30 (1.8%) zerosZeros
20시30분 has 30 (1.8%) zerosZeros
21시00분 has 30 (1.8%) zerosZeros
21시30분 has 30 (1.8%) zerosZeros
22시00분 has 31 (1.8%) zerosZeros
22시30분 has 30 (1.8%) zerosZeros
23시00분 has 30 (1.8%) zerosZeros
23시30분 has 33 (1.9%) zerosZeros

Reproduction

Analysis started2024-05-11 07:30:21.751533
Analysis finished2024-05-11 07:30:22.649345
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사일자
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
평일
568 
토요일
568 
일요일
568 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일
2nd row평일
3rd row평일
4th row평일
5th row평일

Common Values

ValueCountFrequency (%)
평일 568
33.3%
토요일 568
33.3%
일요일 568
33.3%

Length

2024-05-11T07:30:22.926616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:30:23.340524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 568
33.3%
토요일 568
33.3%
일요일 568
33.3%

호선
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.665493
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:23.732430image/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 deviation2.0086909
Coefficient of variation (CV)0.43054205
Kurtosis-1.1837718
Mean4.665493
Median Absolute Deviation (MAD)2
Skewness-0.10841974
Sum7950
Variance4.0348391
MonotonicityNot monotonic
2024-05-11T07:30:24.159118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 336
19.7%
2 306
18.0%
7 306
18.0%
6 234
13.7%
3 204
12.0%
4 156
9.2%
8 102
 
6.0%
1 60
 
3.5%
ValueCountFrequency (%)
1 60
 
3.5%
2 306
18.0%
3 204
12.0%
4 156
9.2%
5 336
19.7%
6 234
13.7%
7 306
18.0%
8 102
 
6.0%
ValueCountFrequency (%)
8 102
 
6.0%
7 306
18.0%
6 234
13.7%
5 336
19.7%
4 156
9.2%
3 204
12.0%
2 306
18.0%
1 60
 
3.5%

역번호
Real number (ℝ)

Distinct284
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1645.3908
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:25.025800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile205
Q1318.75
median2531.5
Q32646.25
95-th percentile2813
Maximum2827
Range2677
Interquartile range (IQR)2327.5

Descriptive statistics

Standard deviation1171.7879
Coefficient of variation (CV)0.71216384
Kurtosis-1.8896991
Mean1645.3908
Median Absolute Deviation (MAD)226
Skewness-0.2937414
Sum2803746
Variance1373086.8
MonotonicityNot monotonic
2024-05-11T07:30:25.440865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 6
 
0.4%
2622 6
 
0.4%
2628 6
 
0.4%
2627 6
 
0.4%
2626 6
 
0.4%
2625 6
 
0.4%
2624 6
 
0.4%
2623 6
 
0.4%
2621 6
 
0.4%
2630 6
 
0.4%
Other values (274) 1644
96.5%
ValueCountFrequency (%)
150 6
0.4%
151 6
0.4%
152 6
0.4%
153 6
0.4%
154 6
0.4%
155 6
0.4%
156 6
0.4%
157 6
0.4%
158 6
0.4%
159 6
0.4%
ValueCountFrequency (%)
2827 6
0.4%
2826 6
0.4%
2825 6
0.4%
2824 6
0.4%
2823 6
0.4%
2822 6
0.4%
2821 6
0.4%
2820 6
0.4%
2819 6
0.4%
2818 6
0.4%

역명
Text

Distinct247
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-05-11T07:30:26.095127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length2.9823944
Min length2

Characters and Unicode

Total characters5082
Distinct characters213
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울역
2nd row서울역
3rd row시청
4th row시청
5th row종각
ValueCountFrequency (%)
동대문역사문화공원 18
 
1.1%
종로3가 18
 
1.1%
까치산 12
 
0.7%
연신내 12
 
0.7%
서울역 12
 
0.7%
노원 12
 
0.7%
대림 12
 
0.7%
영등포구청 12
 
0.7%
충정로 12
 
0.7%
합정 12
 
0.7%
Other values (237) 1572
92.3%
2024-05-11T07:30:27.138085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
4.0%
180
 
3.5%
162
 
3.2%
150
 
3.0%
126
 
2.5%
96
 
1.9%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (203) 3798
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5010
98.6%
Decimal Number 48
 
0.9%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
204
 
4.1%
180
 
3.6%
162
 
3.2%
150
 
3.0%
126
 
2.5%
96
 
1.9%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (198) 3726
74.4%
Decimal Number
ValueCountFrequency (%)
3 30
62.5%
4 12
 
25.0%
5 6
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5010
98.6%
Common 72
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
204
 
4.1%
180
 
3.6%
162
 
3.2%
150
 
3.0%
126
 
2.5%
96
 
1.9%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (198) 3726
74.4%
Common
ValueCountFrequency (%)
3 30
41.7%
( 12
 
16.7%
) 12
 
16.7%
4 12
 
16.7%
5 6
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5010
98.6%
ASCII 72
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
204
 
4.1%
180
 
3.6%
162
 
3.2%
150
 
3.0%
126
 
2.5%
96
 
1.9%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (198) 3726
74.4%
ASCII
ValueCountFrequency (%)
3 30
41.7%
( 12
 
16.7%
) 12
 
16.7%
4 12
 
16.7%
5 6
 
8.3%

구분
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
상선
699 
하선
699 
내선
153 
외선
153 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상선
2nd row하선
3rd row상선
4th row하선
5th row상선

Common Values

ValueCountFrequency (%)
상선 699
41.0%
하선 699
41.0%
내선 153
 
9.0%
외선 153
 
9.0%

Length

2024-05-11T07:30:27.629317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:30:28.085033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상선 699
41.0%
하선 699
41.0%
내선 153
 
9.0%
외선 153
 
9.0%

05시30분
Real number (ℝ)

MISSING  ZEROS 

Distinct381
Distinct (%)23.1%
Missing57
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean13.273042
Minimum0
Maximum89
Zeros23
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:28.487182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.53
Q16
median10
Q316.9
95-th percentile35.75
Maximum89
Range89
Interquartile range (IQR)10.9

Descriptive statistics

Standard deviation11.450567
Coefficient of variation (CV)0.86269349
Kurtosis7.6265948
Mean13.273042
Median Absolute Deviation (MAD)4.9
Skewness2.3392498
Sum21860.7
Variance131.11548
MonotonicityNot monotonic
2024-05-11T07:30:29.026432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
1.3%
6.3 21
 
1.2%
5.1 20
 
1.2%
5.9 18
 
1.1%
6.1 17
 
1.0%
8.2 17
 
1.0%
6.6 16
 
0.9%
6.4 15
 
0.9%
9.3 15
 
0.9%
8.0 15
 
0.9%
Other values (371) 1470
86.3%
(Missing) 57
 
3.3%
ValueCountFrequency (%)
0.0 23
1.3%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 3
 
0.2%
0.5 1
 
0.1%
0.7 1
 
0.1%
0.8 4
 
0.2%
0.9 1
 
0.1%
1.0 2
 
0.1%
1.1 2
 
0.1%
ValueCountFrequency (%)
89.0 1
0.1%
82.0 1
0.1%
79.1 1
0.1%
77.8 1
0.1%
77.1 1
0.1%
74.3 1
0.1%
73.4 1
0.1%
72.4 1
0.1%
69.3 1
0.1%
67.4 1
0.1%

06시00분
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)20.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean12.565068
Minimum0
Maximum56.5
Zeros33
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:29.575697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3
Q16.7
median10.4
Q316.1
95-th percentile30.96
Maximum56.5
Range56.5
Interquartile range (IQR)9.4

Descriptive statistics

Standard deviation8.8542597
Coefficient of variation (CV)0.70467264
Kurtosis2.8521644
Mean12.565068
Median Absolute Deviation (MAD)4.5
Skewness1.5037688
Sum21222.4
Variance78.397914
MonotonicityNot monotonic
2024-05-11T07:30:30.086985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
1.9%
10.0 17
 
1.0%
7.0 17
 
1.0%
5.7 16
 
0.9%
6.9 16
 
0.9%
7.3 16
 
0.9%
9.0 15
 
0.9%
10.6 15
 
0.9%
8.6 14
 
0.8%
14.3 14
 
0.8%
Other values (340) 1516
89.0%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 33
1.9%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
0.6 2
 
0.1%
0.8 1
 
0.1%
0.9 2
 
0.1%
1.0 3
 
0.2%
1.1 2
 
0.1%
1.2 1
 
0.1%
ValueCountFrequency (%)
56.5 1
0.1%
54.2 1
0.1%
53.0 1
0.1%
52.6 1
0.1%
51.6 1
0.1%
51.3 1
0.1%
49.9 1
0.1%
49.3 1
0.1%
46.5 1
0.1%
45.8 1
0.1%

06시30분
Real number (ℝ)

ZEROS 

Distinct374
Distinct (%)22.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean12.701658
Minimum0
Maximum66.8
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:30.691925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q16
median9.8
Q316.1
95-th percentile34.46
Maximum66.8
Range66.8
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation10.251672
Coefficient of variation (CV)0.80711294
Kurtosis4.1908782
Mean12.701658
Median Absolute Deviation (MAD)4.6
Skewness1.86171
Sum21453.1
Variance105.09679
MonotonicityNot monotonic
2024-05-11T07:30:31.289364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
5.6 18
 
1.1%
6.7 17
 
1.0%
4.6 17
 
1.0%
8.9 16
 
0.9%
5.8 16
 
0.9%
7.1 16
 
0.9%
10.4 15
 
0.9%
8.0 15
 
0.9%
8.4 14
 
0.8%
Other values (364) 1515
88.9%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.4 2
 
0.1%
0.5 4
 
0.2%
0.6 1
 
0.1%
0.7 3
 
0.2%
0.8 2
 
0.1%
0.9 1
 
0.1%
1.0 5
 
0.3%
1.1 2
 
0.1%
1.2 2
 
0.1%
ValueCountFrequency (%)
66.8 1
0.1%
64.5 1
0.1%
63.9 1
0.1%
63.0 1
0.1%
61.1 1
0.1%
59.7 1
0.1%
59.6 1
0.1%
59.1 1
0.1%
55.8 1
0.1%
55.4 1
0.1%

07시00분
Real number (ℝ)

ZEROS 

Distinct452
Distinct (%)26.8%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean15.476969
Minimum0
Maximum93.4
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:31.856706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q16.3
median10.3
Q318.7
95-th percentile48.8
Maximum93.4
Range93.4
Interquartile range (IQR)12.4

Descriptive statistics

Standard deviation14.768985
Coefficient of variation (CV)0.95425565
Kurtosis4.5633458
Mean15.476969
Median Absolute Deviation (MAD)5.1
Skewness2.0438574
Sum26140.6
Variance218.12291
MonotonicityNot monotonic
2024-05-11T07:30:32.504083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
7.5 20
 
1.2%
6.4 18
 
1.1%
8.9 16
 
0.9%
5.0 16
 
0.9%
6.5 16
 
0.9%
6.8 16
 
0.9%
7.2 15
 
0.9%
5.8 15
 
0.9%
7.9 15
 
0.9%
Other values (442) 1512
88.7%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.5 2
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.8 4
 
0.2%
0.9 4
 
0.2%
1.0 3
 
0.2%
1.1 1
 
0.1%
ValueCountFrequency (%)
93.4 1
0.1%
93.0 1
0.1%
87.0 1
0.1%
85.9 1
0.1%
85.6 1
0.1%
85.4 1
0.1%
82.2 1
0.1%
81.9 1
0.1%
81.2 1
0.1%
77.4 1
0.1%

07시30분
Real number (ℝ)

ZEROS 

Distinct542
Distinct (%)32.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean19.932978
Minimum0
Maximum107.9
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:33.163365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.7
Q17.4
median12.8
Q325
95-th percentile63.46
Maximum107.9
Range107.9
Interquartile range (IQR)17.6

Descriptive statistics

Standard deviation19.327742
Coefficient of variation (CV)0.96963644
Kurtosis3.2378688
Mean19.932978
Median Absolute Deviation (MAD)6.9
Skewness1.8294328
Sum33666.8
Variance373.56161
MonotonicityNot monotonic
2024-05-11T07:30:33.900299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
9.0 17
 
1.0%
7.5 16
 
0.9%
10.1 16
 
0.9%
7.2 15
 
0.9%
8.9 14
 
0.8%
8.6 13
 
0.8%
5.2 13
 
0.8%
13.4 13
 
0.8%
5.9 13
 
0.8%
Other values (532) 1529
89.7%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 4
 
0.2%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.9 2
 
0.1%
1.0 2
 
0.1%
1.1 1
 
0.1%
1.2 3
 
0.2%
ValueCountFrequency (%)
107.9 1
0.1%
107.0 1
0.1%
106.2 1
0.1%
104.4 1
0.1%
103.6 1
0.1%
97.5 1
0.1%
96.7 1
0.1%
96.2 1
0.1%
95.5 1
0.1%
95.2 1
0.1%

08시00분
Real number (ℝ)

ZEROS 

Distinct624
Distinct (%)36.9%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean27.551628
Minimum0
Maximum150.8
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:34.565421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.7
Q110.9
median17.8
Q333.1
95-th percentile89.12
Maximum150.8
Range150.8
Interquartile range (IQR)22.2

Descriptive statistics

Standard deviation26.935695
Coefficient of variation (CV)0.9776444
Kurtosis3.606603
Mean27.551628
Median Absolute Deviation (MAD)9.1
Skewness1.9250353
Sum46534.7
Variance725.53167
MonotonicityNot monotonic
2024-05-11T07:30:35.379671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
11.1 14
 
0.8%
13.5 12
 
0.7%
8.3 11
 
0.6%
11.3 11
 
0.6%
12.8 10
 
0.6%
12.9 10
 
0.6%
19.8 10
 
0.6%
13.9 10
 
0.6%
6.3 9
 
0.5%
Other values (614) 1562
91.7%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 3
 
0.2%
0.7 1
 
0.1%
0.9 3
 
0.2%
1.2 1
 
0.1%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.5 2
 
0.1%
1.6 2
 
0.1%
1.7 3
 
0.2%
ValueCountFrequency (%)
150.8 1
0.1%
150.6 1
0.1%
141.6 1
0.1%
140.6 2
0.1%
138.9 1
0.1%
137.5 1
0.1%
135.6 1
0.1%
134.1 1
0.1%
133.7 1
0.1%
133.5 1
0.1%

08시30분
Real number (ℝ)

ZEROS 

Distinct573
Distinct (%)33.9%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean24.279396
Minimum0
Maximum149.4
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:36.216697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q110.9
median16.6
Q328.9
95-th percentile72
Maximum149.4
Range149.4
Interquartile range (IQR)18

Descriptive statistics

Standard deviation22.134801
Coefficient of variation (CV)0.91167016
Kurtosis4.6375714
Mean24.279396
Median Absolute Deviation (MAD)7.4
Skewness2.0337765
Sum41007.9
Variance489.94941
MonotonicityNot monotonic
2024-05-11T07:30:36.969597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
12.1 16
 
0.9%
14.5 12
 
0.7%
16.6 12
 
0.7%
8.1 12
 
0.7%
11.6 12
 
0.7%
13.7 12
 
0.7%
11.1 11
 
0.6%
12.5 11
 
0.6%
11.8 11
 
0.6%
Other values (563) 1550
91.0%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
1.0 3
 
0.2%
1.2 1
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
ValueCountFrequency (%)
149.4 1
0.1%
148.3 1
0.1%
138.5 1
0.1%
126.2 1
0.1%
125.8 1
0.1%
124.9 1
0.1%
114.3 1
0.1%
114.0 1
0.1%
113.2 1
0.1%
113.1 1
0.1%

09시00분
Real number (ℝ)

ZEROS 

Distinct560
Distinct (%)33.2%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.798875
Minimum0
Maximum123.8
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:37.467917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q112
median18.5
Q330.2
95-th percentile61.42
Maximum123.8
Range123.8
Interquartile range (IQR)18.2

Descriptive statistics

Standard deviation18.1391
Coefficient of variation (CV)0.76218308
Kurtosis4.0117306
Mean23.798875
Median Absolute Deviation (MAD)8
Skewness1.7712534
Sum40196.3
Variance329.02695
MonotonicityNot monotonic
2024-05-11T07:30:38.020250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
10.4 13
 
0.8%
13.6 12
 
0.7%
13.2 12
 
0.7%
17.1 11
 
0.6%
16.4 11
 
0.6%
13.0 11
 
0.6%
14.6 11
 
0.6%
10.3 11
 
0.6%
21.9 10
 
0.6%
Other values (550) 1557
91.4%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.9 2
 
0.1%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.2 2
 
0.1%
1.4 3
 
0.2%
1.5 2
 
0.1%
1.6 2
 
0.1%
1.8 1
 
0.1%
ValueCountFrequency (%)
123.8 1
0.1%
118.7 1
0.1%
117.6 1
0.1%
110.1 1
0.1%
106.9 1
0.1%
105.6 1
0.1%
103.8 1
0.1%
100.1 1
0.1%
99.1 1
0.1%
98.7 1
0.1%

09시30분
Real number (ℝ)

ZEROS 

Distinct483
Distinct (%)28.6%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean21.915808
Minimum0
Maximum96.6
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:38.595551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.8
Q113
median18.9
Q327.8
95-th percentile49.62
Maximum96.6
Range96.6
Interquartile range (IQR)14.8

Descriptive statistics

Standard deviation13.712656
Coefficient of variation (CV)0.62569703
Kurtosis3.0103872
Mean21.915808
Median Absolute Deviation (MAD)7
Skewness1.3903668
Sum37015.8
Variance188.03694
MonotonicityNot monotonic
2024-05-11T07:30:39.132405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
14.6 17
 
1.0%
18.5 16
 
0.9%
21.8 13
 
0.8%
14.0 12
 
0.7%
19.3 11
 
0.6%
15.8 11
 
0.6%
23.5 11
 
0.6%
15.6 11
 
0.6%
18.6 11
 
0.6%
Other values (473) 1546
90.7%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.4 3
 
0.2%
0.6 1
 
0.1%
1.0 1
 
0.1%
1.2 1
 
0.1%
1.3 2
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
1.7 2
 
0.1%
1.8 1
 
0.1%
ValueCountFrequency (%)
96.6 1
0.1%
93.3 1
0.1%
92.2 1
0.1%
92.1 1
0.1%
83.4 1
0.1%
82.6 1
0.1%
82.1 1
0.1%
72.5 2
0.1%
72.2 1
0.1%
71.9 1
0.1%

10시00분
Real number (ℝ)

ZEROS 

Distinct444
Distinct (%)26.3%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean20.270811
Minimum0
Maximum64
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:39.671599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.44
Q112.6
median18.2
Q326.3
95-th percentile41.3
Maximum64
Range64
Interquartile range (IQR)13.7

Descriptive statistics

Standard deviation11.350763
Coefficient of variation (CV)0.55995605
Kurtosis1.0023321
Mean20.270811
Median Absolute Deviation (MAD)6.6
Skewness0.89275685
Sum34237.4
Variance128.83983
MonotonicityNot monotonic
2024-05-11T07:30:40.119435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
13.5 13
 
0.8%
24.8 12
 
0.7%
13.2 12
 
0.7%
17.6 11
 
0.6%
22.9 11
 
0.6%
17.7 11
 
0.6%
14.0 11
 
0.6%
19.4 10
 
0.6%
12.4 10
 
0.6%
Other values (434) 1558
91.4%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.4 1
 
0.1%
1.0 2
 
0.1%
1.1 3
 
0.2%
1.2 1
 
0.1%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.5 3
 
0.2%
1.6 1
 
0.1%
ValueCountFrequency (%)
64.0 1
 
0.1%
62.5 1
 
0.1%
62.0 1
 
0.1%
59.8 1
 
0.1%
59.3 1
 
0.1%
59.1 3
0.2%
58.8 1
 
0.1%
58.3 1
 
0.1%
58.2 2
0.1%
57.0 1
 
0.1%

10시30분
Real number (ℝ)

ZEROS 

Distinct430
Distinct (%)25.5%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean20.294908
Minimum0
Maximum66
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:40.620260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.7
Q113.2
median18.6
Q326.4
95-th percentile39.9
Maximum66
Range66
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation10.673487
Coefficient of variation (CV)0.52591946
Kurtosis0.73766988
Mean20.294908
Median Absolute Deviation (MAD)6.4
Skewness0.68876283
Sum34278.1
Variance113.92333
MonotonicityNot monotonic
2024-05-11T07:30:41.156896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
18.4 14
 
0.8%
14.5 14
 
0.8%
13.8 14
 
0.8%
15.2 13
 
0.8%
28.4 12
 
0.7%
18.3 12
 
0.7%
17.2 11
 
0.6%
15.9 11
 
0.6%
16.2 11
 
0.6%
Other values (420) 1547
90.8%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 1
 
0.1%
0.5 2
 
0.1%
0.7 2
 
0.1%
0.8 1
 
0.1%
1.0 1
 
0.1%
1.1 2
 
0.1%
1.2 1
 
0.1%
1.3 2
 
0.1%
1.6 1
 
0.1%
ValueCountFrequency (%)
66.0 1
0.1%
61.3 1
0.1%
60.6 1
0.1%
60.5 1
0.1%
58.0 1
0.1%
57.6 1
0.1%
56.7 1
0.1%
56.6 1
0.1%
56.3 1
0.1%
55.7 1
0.1%

11시00분
Real number (ℝ)

ZEROS 

Distinct447
Distinct (%)26.5%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean20.718472
Minimum0
Maximum63.4
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:41.612257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.2
Q113.6
median19.4
Q326.9
95-th percentile40
Maximum63.4
Range63.4
Interquartile range (IQR)13.3

Descriptive statistics

Standard deviation10.718964
Coefficient of variation (CV)0.51736268
Kurtosis0.53267037
Mean20.718472
Median Absolute Deviation (MAD)6.5
Skewness0.60018747
Sum34993.5
Variance114.8962
MonotonicityNot monotonic
2024-05-11T07:30:42.314935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
19.0 15
 
0.9%
16.8 13
 
0.8%
19.6 13
 
0.8%
16.2 12
 
0.7%
19.7 12
 
0.7%
17.6 12
 
0.7%
23.7 12
 
0.7%
20.4 12
 
0.7%
14.3 11
 
0.6%
Other values (437) 1547
90.8%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.0 2
 
0.1%
1.1 1
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
1.6 2
 
0.1%
ValueCountFrequency (%)
63.4 1
0.1%
61.8 1
0.1%
60.1 1
0.1%
59.4 1
0.1%
57.5 1
0.1%
56.7 1
0.1%
56.3 1
0.1%
55.3 1
0.1%
55.0 1
0.1%
54.2 1
0.1%

11시30분
Real number (ℝ)

ZEROS 

Distinct417
Distinct (%)24.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean21.503197
Minimum0
Maximum55.6
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:42.745612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114.5
median21
Q327.7
95-th percentile39.86
Maximum55.6
Range55.6
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation10.39681
Coefficient of variation (CV)0.48350064
Kurtosis0.17740226
Mean21.503197
Median Absolute Deviation (MAD)6.6
Skewness0.36165968
Sum36318.9
Variance108.09365
MonotonicityNot monotonic
2024-05-11T07:30:43.153698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
20.4 14
 
0.8%
21.0 13
 
0.8%
22.9 12
 
0.7%
14.4 12
 
0.7%
16.3 12
 
0.7%
21.1 12
 
0.7%
17.0 11
 
0.6%
20.3 11
 
0.6%
18.9 11
 
0.6%
Other values (407) 1551
91.0%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 1
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.0 1
 
0.1%
1.3 2
 
0.1%
1.4 2
 
0.1%
1.7 2
 
0.1%
ValueCountFrequency (%)
55.6 1
0.1%
55.0 2
0.1%
54.9 1
0.1%
54.6 1
0.1%
53.8 1
0.1%
53.2 1
0.1%
52.5 1
0.1%
52.4 2
0.1%
52.3 1
0.1%
51.5 1
0.1%

12시00분
Real number (ℝ)

ZEROS 

Distinct418
Distinct (%)24.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean22.298401
Minimum0
Maximum58.9
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:43.637604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q115.6
median21.9
Q328.7
95-th percentile40
Maximum58.9
Range58.9
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation10.207417
Coefficient of variation (CV)0.4577645
Kurtosis-0.010001934
Mean22.298401
Median Absolute Deviation (MAD)6.5
Skewness0.17622051
Sum37662
Variance104.19135
MonotonicityNot monotonic
2024-05-11T07:30:44.158477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
20.9 16
 
0.9%
24.5 12
 
0.7%
27.8 12
 
0.7%
22.0 12
 
0.7%
24.6 12
 
0.7%
20.6 12
 
0.7%
21.8 12
 
0.7%
21.6 12
 
0.7%
19.8 11
 
0.6%
Other values (408) 1548
90.8%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
0.8 1
 
0.1%
0.9 2
 
0.1%
1.2 1
 
0.1%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
ValueCountFrequency (%)
58.9 1
0.1%
56.1 1
0.1%
55.0 1
0.1%
53.9 1
0.1%
53.5 1
0.1%
52.3 1
0.1%
52.2 1
0.1%
51.2 1
0.1%
50.6 1
0.1%
49.7 1
0.1%

12시30분
Real number (ℝ)

ZEROS 

Distinct445
Distinct (%)26.3%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.85749
Minimum0
Maximum64.1
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:44.615866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.3
Q116.7
median23.7
Q330.6
95-th percentile42.1
Maximum64.1
Range64.1
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation10.973429
Coefficient of variation (CV)0.4599574
Kurtosis0.15300716
Mean23.85749
Median Absolute Deviation (MAD)6.9
Skewness0.18836637
Sum40295.3
Variance120.41614
MonotonicityNot monotonic
2024-05-11T07:30:45.338108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
22.5 16
 
0.9%
24.7 14
 
0.8%
22.7 11
 
0.6%
24.5 11
 
0.6%
18.7 11
 
0.6%
19.2 11
 
0.6%
28.9 11
 
0.6%
22.9 10
 
0.6%
30.3 10
 
0.6%
Other values (435) 1554
91.2%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.4 1
 
0.1%
0.6 2
 
0.1%
0.8 2
 
0.1%
1.0 1
 
0.1%
1.2 1
 
0.1%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.9 2
 
0.1%
2.0 2
 
0.1%
ValueCountFrequency (%)
64.1 1
 
0.1%
61.1 1
 
0.1%
60.1 1
 
0.1%
58.2 2
0.1%
56.6 1
 
0.1%
56.2 1
 
0.1%
55.0 1
 
0.1%
54.4 1
 
0.1%
54.2 3
0.2%
53.8 1
 
0.1%

13시00분
Real number (ℝ)

ZEROS 

Distinct437
Distinct (%)25.9%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.762404
Minimum0
Maximum58.4
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:45.840772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.44
Q117.1
median23.8
Q330.6
95-th percentile41.9
Maximum58.4
Range58.4
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation10.571916
Coefficient of variation (CV)0.44490097
Kurtosis0.023095217
Mean23.762404
Median Absolute Deviation (MAD)6.7
Skewness0.080006535
Sum40134.7
Variance111.76542
MonotonicityNot monotonic
2024-05-11T07:30:46.506168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
25.9 14
 
0.8%
26.0 14
 
0.8%
23.1 12
 
0.7%
22.9 12
 
0.7%
25.2 11
 
0.6%
25.0 11
 
0.6%
17.9 11
 
0.6%
26.5 11
 
0.6%
23.6 10
 
0.6%
Other values (427) 1553
91.1%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
1.0 1
 
0.1%
1.4 1
 
0.1%
1.8 4
 
0.2%
1.9 1
 
0.1%
2.0 1
 
0.1%
ValueCountFrequency (%)
58.4 2
0.1%
57.1 1
0.1%
56.8 2
0.1%
56.0 1
0.1%
54.1 1
0.1%
53.9 1
0.1%
53.2 1
0.1%
52.6 1
0.1%
51.4 1
0.1%
51.1 1
0.1%

13시30분
Real number (ℝ)

ZEROS 

Distinct441
Distinct (%)26.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.495974
Minimum0
Maximum61.6
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:47.154013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.22
Q116.9
median23.4
Q329.5
95-th percentile41.4
Maximum61.6
Range61.6
Interquartile range (IQR)12.6

Descriptive statistics

Standard deviation10.600496
Coefficient of variation (CV)0.45116221
Kurtosis0.12885586
Mean23.495974
Median Absolute Deviation (MAD)6.3
Skewness0.14765088
Sum39684.7
Variance112.37051
MonotonicityNot monotonic
2024-05-11T07:30:47.682445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
21.4 16
 
0.9%
26.1 15
 
0.9%
22.1 13
 
0.8%
23.6 12
 
0.7%
22.8 12
 
0.7%
24.2 11
 
0.6%
26.5 11
 
0.6%
23.1 11
 
0.6%
25.6 10
 
0.6%
Other values (431) 1548
90.8%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.6 1
 
0.1%
0.8 2
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
1.7 1
 
0.1%
1.8 2
 
0.1%
1.9 1
 
0.1%
ValueCountFrequency (%)
61.6 1
0.1%
57.7 1
0.1%
55.3 1
0.1%
55.2 1
0.1%
54.9 1
0.1%
54.5 1
0.1%
54.4 1
0.1%
54.3 1
0.1%
54.1 1
0.1%
53.0 2
0.1%

14시00분
Real number (ℝ)

ZEROS 

Distinct433
Distinct (%)25.6%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean22.945767
Minimum0
Maximum59.3
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:48.271203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.34
Q116.8
median23.3
Q329.2
95-th percentile39.4
Maximum59.3
Range59.3
Interquartile range (IQR)12.4

Descriptive statistics

Standard deviation10.139683
Coefficient of variation (CV)0.44189776
Kurtosis0.17147793
Mean22.945767
Median Absolute Deviation (MAD)6.2
Skewness0.077334984
Sum38755.4
Variance102.81317
MonotonicityNot monotonic
2024-05-11T07:30:48.789206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
23.7 18
 
1.1%
23.9 17
 
1.0%
25.6 13
 
0.8%
22.8 13
 
0.8%
25.4 12
 
0.7%
26.1 12
 
0.7%
18.3 12
 
0.7%
22.0 12
 
0.7%
25.2 12
 
0.7%
Other values (423) 1538
90.3%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.0 1
 
0.1%
1.7 1
 
0.1%
1.8 1
 
0.1%
1.9 2
 
0.1%
ValueCountFrequency (%)
59.3 1
0.1%
56.2 1
0.1%
55.6 1
0.1%
55.5 1
0.1%
54.2 1
0.1%
53.8 1
0.1%
53.6 1
0.1%
52.8 1
0.1%
51.3 1
0.1%
50.8 1
0.1%

14시30분
Real number (ℝ)

ZEROS 

Distinct424
Distinct (%)25.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.292066
Minimum0
Maximum57.7
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:49.377346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q117.3
median23.4
Q329.6
95-th percentile40.76
Maximum57.7
Range57.7
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation10.219867
Coefficient of variation (CV)0.43877028
Kurtosis0.018251372
Mean23.292066
Median Absolute Deviation (MAD)6.1
Skewness0.03640442
Sum39340.3
Variance104.44567
MonotonicityNot monotonic
2024-05-11T07:30:49.953802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
24.2 14
 
0.8%
21.0 13
 
0.8%
28.2 13
 
0.8%
19.7 13
 
0.8%
21.6 12
 
0.7%
22.0 12
 
0.7%
27.1 11
 
0.6%
28.1 11
 
0.6%
19.8 11
 
0.6%
Other values (414) 1549
90.9%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.9 1
 
0.1%
1.1 2
 
0.1%
1.2 1
 
0.1%
1.8 1
 
0.1%
1.9 1
 
0.1%
2.0 1
 
0.1%
ValueCountFrequency (%)
57.7 1
0.1%
56.1 1
0.1%
54.2 1
0.1%
54.0 1
0.1%
53.2 1
0.1%
53.0 2
0.1%
50.0 1
0.1%
49.8 1
0.1%
49.5 1
0.1%
48.6 1
0.1%

15시00분
Real number (ℝ)

ZEROS 

Distinct443
Distinct (%)26.2%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean24.227057
Minimum0
Maximum77.3
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:50.521823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8
Q117.5
median24.5
Q330.6
95-th percentile42
Maximum77.3
Range77.3
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation10.826318
Coefficient of variation (CV)0.44686887
Kurtosis0.99039567
Mean24.227057
Median Absolute Deviation (MAD)6.5
Skewness0.26583603
Sum40919.5
Variance117.20915
MonotonicityNot monotonic
2024-05-11T07:30:51.194318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
24.4 14
 
0.8%
25.9 12
 
0.7%
26.2 12
 
0.7%
25.1 12
 
0.7%
25.8 11
 
0.6%
22.9 11
 
0.6%
26.8 11
 
0.6%
26.6 11
 
0.6%
26.0 11
 
0.6%
Other values (433) 1554
91.2%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.5 1
 
0.1%
0.7 1
 
0.1%
0.8 1
 
0.1%
1.8 2
 
0.1%
1.9 1
 
0.1%
2.0 1
 
0.1%
2.1 1
 
0.1%
2.2 1
 
0.1%
ValueCountFrequency (%)
77.3 1
0.1%
75.4 1
0.1%
71.8 1
0.1%
68.2 1
0.1%
66.2 1
0.1%
65.5 1
0.1%
65.2 1
0.1%
57.8 1
0.1%
57.2 1
0.1%
56.2 1
0.1%

15시30분
Real number (ℝ)

ZEROS 

Distinct470
Distinct (%)27.8%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean25.60148
Minimum0
Maximum75.7
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:51.848534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.58
Q119
median25.7
Q332.4
95-th percentile44.16
Maximum75.7
Range75.7
Interquartile range (IQR)13.4

Descriptive statistics

Standard deviation11.465658
Coefficient of variation (CV)0.44785136
Kurtosis0.72661099
Mean25.60148
Median Absolute Deviation (MAD)6.7
Skewness0.23728765
Sum43240.9
Variance131.46131
MonotonicityNot monotonic
2024-05-11T07:30:52.306648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
21.6 15
 
0.9%
28.0 14
 
0.8%
22.9 14
 
0.8%
32.8 13
 
0.8%
27.4 13
 
0.8%
24.8 13
 
0.8%
26.4 12
 
0.7%
27.1 11
 
0.6%
30.7 11
 
0.6%
Other values (460) 1543
90.6%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.2 1
 
0.1%
1.8 1
 
0.1%
1.9 2
 
0.1%
2.1 1
 
0.1%
ValueCountFrequency (%)
75.7 1
0.1%
75.3 1
0.1%
73.7 1
0.1%
70.5 1
0.1%
68.4 1
0.1%
67.2 1
0.1%
66.0 1
0.1%
61.8 1
0.1%
59.0 1
0.1%
58.5 1
0.1%

16시00분
Real number (ℝ)

ZEROS 

Distinct486
Distinct (%)28.8%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean27.013914
Minimum0
Maximum77.1
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:52.795402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.2
Q119.6
median26.9
Q334.4
95-th percentile47.66
Maximum77.1
Range77.1
Interquartile range (IQR)14.8

Descriptive statistics

Standard deviation12.186631
Coefficient of variation (CV)0.45112423
Kurtosis0.42106636
Mean27.013914
Median Absolute Deviation (MAD)7.4
Skewness0.18555702
Sum45626.5
Variance148.51397
MonotonicityNot monotonic
2024-05-11T07:30:53.369369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
25.7 12
 
0.7%
29.5 11
 
0.6%
22.3 11
 
0.6%
24.0 11
 
0.6%
28.4 10
 
0.6%
21.4 10
 
0.6%
26.5 10
 
0.6%
25.4 10
 
0.6%
26.8 10
 
0.6%
Other values (476) 1564
91.8%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.2 1
 
0.1%
0.5 1
 
0.1%
0.9 1
 
0.1%
1.3 2
 
0.1%
1.4 1
 
0.1%
1.9 1
 
0.1%
2.1 1
 
0.1%
2.2 1
 
0.1%
ValueCountFrequency (%)
77.1 1
0.1%
75.6 1
0.1%
75.3 1
0.1%
73.7 1
0.1%
68.4 1
0.1%
67.0 1
0.1%
66.2 1
0.1%
63.3 1
0.1%
62.9 1
0.1%
62.4 1
0.1%

16시30분
Real number (ℝ)

ZEROS 

Distinct507
Distinct (%)30.0%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean28.744523
Minimum0
Maximum70.9
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:53.816845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.08
Q120
median28.6
Q336.8
95-th percentile52
Maximum70.9
Range70.9
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation13.363061
Coefficient of variation (CV)0.46489069
Kurtosis0.033908171
Mean28.744523
Median Absolute Deviation (MAD)8.3
Skewness0.18186694
Sum48549.5
Variance178.57141
MonotonicityNot monotonic
2024-05-11T07:30:54.298776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
29.8 11
 
0.6%
35.7 10
 
0.6%
20.7 10
 
0.6%
31.9 10
 
0.6%
32.0 10
 
0.6%
25.6 10
 
0.6%
27.2 10
 
0.6%
34.4 10
 
0.6%
31.8 9
 
0.5%
Other values (497) 1569
92.1%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 1
 
0.1%
0.4 2
 
0.1%
1.1 2
 
0.1%
1.4 1
 
0.1%
1.7 2
 
0.1%
1.8 1
 
0.1%
1.9 1
 
0.1%
2.2 2
 
0.1%
2.4 2
 
0.1%
ValueCountFrequency (%)
70.9 1
0.1%
70.5 2
0.1%
69.3 1
0.1%
68.9 1
0.1%
68.3 1
0.1%
67.6 1
0.1%
67.5 2
0.1%
66.8 1
0.1%
66.2 1
0.1%
66.1 1
0.1%

17시00분
Real number (ℝ)

ZEROS 

Distinct562
Distinct (%)33.3%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean30.208111
Minimum0
Maximum112.2
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:54.755899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.24
Q120.2
median29
Q338.1
95-th percentile57.46
Maximum112.2
Range112.2
Interquartile range (IQR)17.9

Descriptive statistics

Standard deviation15.480257
Coefficient of variation (CV)0.51245366
Kurtosis1.8933855
Mean30.208111
Median Absolute Deviation (MAD)8.9
Skewness0.7777567
Sum51021.5
Variance239.63836
MonotonicityNot monotonic
2024-05-11T07:30:55.513066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
29.9 11
 
0.6%
35.9 10
 
0.6%
36.1 10
 
0.6%
34.6 10
 
0.6%
27.4 10
 
0.6%
32.5 10
 
0.6%
26.4 10
 
0.6%
27.9 10
 
0.6%
27.3 9
 
0.5%
Other values (552) 1569
92.1%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 2
 
0.1%
0.5 1
 
0.1%
1.6 1
 
0.1%
1.7 1
 
0.1%
1.8 1
 
0.1%
2.1 1
 
0.1%
2.3 2
 
0.1%
2.4 1
 
0.1%
2.6 1
 
0.1%
ValueCountFrequency (%)
112.2 1
0.1%
108.1 1
0.1%
104.0 1
0.1%
103.8 1
0.1%
102.8 1
0.1%
91.0 1
0.1%
89.6 1
0.1%
86.8 1
0.1%
86.2 1
0.1%
83.9 1
0.1%

17시30분
Real number (ℝ)

ZEROS 

Distinct594
Distinct (%)35.2%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean30.718769
Minimum0
Maximum105.6
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:56.328816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.04
Q119.5
median28.6
Q338.5
95-th percentile61.58
Maximum105.6
Range105.6
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.063706
Coefficient of variation (CV)0.55548145
Kurtosis1.8806089
Mean30.718769
Median Absolute Deviation (MAD)9.4
Skewness1.0006357
Sum51884
Variance291.17007
MonotonicityNot monotonic
2024-05-11T07:30:56.942313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
21.8 11
 
0.6%
27.4 10
 
0.6%
30.0 9
 
0.5%
31.4 9
 
0.5%
32.5 9
 
0.5%
23.3 9
 
0.5%
18.8 9
 
0.5%
24.1 9
 
0.5%
31.9 8
 
0.5%
Other values (584) 1576
92.5%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
1.3 1
 
0.1%
1.4 2
 
0.1%
1.6 1
 
0.1%
1.7 2
 
0.1%
1.9 1
 
0.1%
2.1 1
 
0.1%
ValueCountFrequency (%)
105.6 1
0.1%
103.9 1
0.1%
101.8 1
0.1%
101.5 1
0.1%
100.1 1
0.1%
99.7 1
0.1%
98.3 1
0.1%
96.5 1
0.1%
96.3 1
0.1%
95.0 1
0.1%

18시00분
Real number (ℝ)

ZEROS 

Distinct653
Distinct (%)38.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean32.515098
Minimum0
Maximum131.7
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:58.089865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9
Q119.4
median28.6
Q341.2
95-th percentile73.3
Maximum131.7
Range131.7
Interquartile range (IQR)21.8

Descriptive statistics

Standard deviation20.541219
Coefficient of variation (CV)0.63174405
Kurtosis2.5700889
Mean32.515098
Median Absolute Deviation (MAD)10.3
Skewness1.3323151
Sum54918
Variance421.9417
MonotonicityNot monotonic
2024-05-11T07:30:58.818283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
28.6 10
 
0.6%
20.9 10
 
0.6%
25.4 10
 
0.6%
26.8 9
 
0.5%
32.3 9
 
0.5%
22.5 9
 
0.5%
19.2 9
 
0.5%
18.4 9
 
0.5%
18.6 9
 
0.5%
Other values (643) 1575
92.4%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.3 2
 
0.1%
0.6 1
 
0.1%
1.2 1
 
0.1%
1.3 1
 
0.1%
1.5 2
 
0.1%
1.6 1
 
0.1%
1.8 2
 
0.1%
1.9 1
 
0.1%
2.1 1
 
0.1%
ValueCountFrequency (%)
131.7 1
0.1%
130.1 1
0.1%
124.6 1
0.1%
124.2 1
0.1%
123.0 1
0.1%
119.9 1
0.1%
119.5 1
0.1%
112.0 1
0.1%
110.6 1
0.1%
110.4 1
0.1%

18시30분
Real number (ℝ)

ZEROS 

Distinct640
Distinct (%)37.9%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean30.849556
Minimum0
Maximum126.2
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:30:59.534176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q116.7
median25.2
Q337.8
95-th percentile79.16
Maximum126.2
Range126.2
Interquartile range (IQR)21.1

Descriptive statistics

Standard deviation22.496019
Coefficient of variation (CV)0.72921693
Kurtosis3.0237954
Mean30.849556
Median Absolute Deviation (MAD)10.1
Skewness1.6085857
Sum52104.9
Variance506.07085
MonotonicityNot monotonic
2024-05-11T07:31:00.168776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
18.5 12
 
0.7%
23.7 9
 
0.5%
24.8 9
 
0.5%
21.5 9
 
0.5%
17.8 9
 
0.5%
22.2 8
 
0.5%
25.4 8
 
0.5%
24.3 8
 
0.5%
14.4 8
 
0.5%
Other values (630) 1579
92.7%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.4 1
 
0.1%
0.7 1
 
0.1%
0.9 1
 
0.1%
1.0 2
 
0.1%
1.2 2
 
0.1%
1.4 2
 
0.1%
1.8 2
 
0.1%
1.9 3
 
0.2%
ValueCountFrequency (%)
126.2 1
0.1%
125.9 1
0.1%
125.4 1
0.1%
124.8 1
0.1%
124.1 1
0.1%
122.8 1
0.1%
121.7 1
0.1%
121.2 1
0.1%
120.9 1
0.1%
120.7 1
0.1%

19시00분
Real number (ℝ)

ZEROS 

Distinct530
Distinct (%)31.4%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean24.318769
Minimum0
Maximum94.5
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:00.832680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.78
Q113.7
median21.5
Q330.5
95-th percentile58.6
Maximum94.5
Range94.5
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation16.239728
Coefficient of variation (CV)0.66778577
Kurtosis2.5078529
Mean24.318769
Median Absolute Deviation (MAD)8.4
Skewness1.3983839
Sum41074.4
Variance263.72875
MonotonicityNot monotonic
2024-05-11T07:31:01.541109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
21.2 12
 
0.7%
17.4 12
 
0.7%
20.6 11
 
0.6%
21.5 11
 
0.6%
22.5 11
 
0.6%
16.8 10
 
0.6%
22.3 10
 
0.6%
12.9 10
 
0.6%
11.5 10
 
0.6%
Other values (520) 1562
91.7%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.4 2
 
0.1%
0.7 1
 
0.1%
1.0 2
 
0.1%
1.1 1
 
0.1%
1.2 1
 
0.1%
1.4 2
 
0.1%
1.6 1
 
0.1%
1.7 3
 
0.2%
ValueCountFrequency (%)
94.5 1
0.1%
93.8 1
0.1%
92.0 1
0.1%
89.8 1
0.1%
88.5 1
0.1%
86.7 1
0.1%
86.3 1
0.1%
84.6 1
0.1%
84.4 1
0.1%
84.3 1
0.1%

19시30분
Real number (ℝ)

ZEROS 

Distinct458
Distinct (%)27.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean19.765246
Minimum0
Maximum70.4
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:02.200330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4
Q111.5
median17.8
Q324.9
95-th percentile44.16
Maximum70.4
Range70.4
Interquartile range (IQR)13.4

Descriptive statistics

Standard deviation12.176567
Coefficient of variation (CV)0.61605948
Kurtosis1.446654
Mean19.765246
Median Absolute Deviation (MAD)6.7
Skewness1.0894344
Sum33383.5
Variance148.26879
MonotonicityNot monotonic
2024-05-11T07:31:02.913509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
17.3 15
 
0.9%
17.8 14
 
0.8%
21.7 13
 
0.8%
9.3 12
 
0.7%
18.2 11
 
0.6%
15.7 11
 
0.6%
18.9 11
 
0.6%
11.1 11
 
0.6%
15.3 10
 
0.6%
Other values (448) 1551
91.0%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.0 2
 
0.1%
ValueCountFrequency (%)
70.4 1
0.1%
66.2 1
0.1%
65.8 1
0.1%
64.6 1
0.1%
64.4 1
0.1%
63.2 1
0.1%
62.4 1
0.1%
61.9 1
0.1%
61.5 1
0.1%
61.4 1
0.1%

20시00분
Real number (ℝ)

ZEROS 

Distinct434
Distinct (%)25.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean18.436057
Minimum0
Maximum61.7
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:03.706850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.04
Q110.5
median17
Q324.4
95-th percentile39.92
Maximum61.7
Range61.7
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation10.949129
Coefficient of variation (CV)0.59389754
Kurtosis0.81075455
Mean18.436057
Median Absolute Deviation (MAD)7
Skewness0.84426088
Sum31138.5
Variance119.88342
MonotonicityNot monotonic
2024-05-11T07:31:04.370260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
9.4 13
 
0.8%
15.5 12
 
0.7%
20.0 11
 
0.6%
9.6 11
 
0.6%
12.7 11
 
0.6%
17.5 11
 
0.6%
13.5 11
 
0.6%
10.0 11
 
0.6%
21.6 10
 
0.6%
Other values (424) 1558
91.4%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 3
 
0.2%
0.6 2
 
0.1%
0.7 2
 
0.1%
0.8 1
 
0.1%
1.0 2
 
0.1%
1.1 4
 
0.2%
1.2 2
 
0.1%
1.4 1
 
0.1%
1.5 1
 
0.1%
ValueCountFrequency (%)
61.7 1
0.1%
60.5 1
0.1%
59.1 1
0.1%
58.9 1
0.1%
58.5 1
0.1%
58.3 1
0.1%
56.9 1
0.1%
55.9 1
0.1%
55.1 1
0.1%
54.8 1
0.1%

20시30분
Real number (ℝ)

ZEROS 

Distinct434
Distinct (%)25.7%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean18.522676
Minimum0
Maximum63.8
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:04.985415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.84
Q110
median16.6
Q325.1
95-th percentile40.3
Maximum63.8
Range63.8
Interquartile range (IQR)15.1

Descriptive statistics

Standard deviation11.466306
Coefficient of variation (CV)0.61904152
Kurtosis0.49726284
Mean18.522676
Median Absolute Deviation (MAD)7.3
Skewness0.81233382
Sum31284.8
Variance131.47616
MonotonicityNot monotonic
2024-05-11T07:31:05.677791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
9.6 15
 
0.9%
16.0 15
 
0.9%
19.7 14
 
0.8%
11.4 12
 
0.7%
8.3 11
 
0.6%
14.3 11
 
0.6%
13.9 10
 
0.6%
19.8 10
 
0.6%
16.9 10
 
0.6%
Other values (424) 1551
91.0%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 3
 
0.2%
0.5 4
 
0.2%
0.6 1
 
0.1%
0.7 2
 
0.1%
0.8 2
 
0.1%
0.9 2
 
0.1%
1.0 2
 
0.1%
1.1 3
 
0.2%
1.2 1
 
0.1%
ValueCountFrequency (%)
63.8 1
0.1%
61.0 1
0.1%
60.8 1
0.1%
60.6 1
0.1%
58.9 1
0.1%
57.5 1
0.1%
56.9 1
0.1%
56.5 1
0.1%
56.0 1
0.1%
54.7 1
0.1%

21시00분
Real number (ℝ)

ZEROS 

Distinct466
Distinct (%)27.6%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean19.482238
Minimum0
Maximum71.9
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:06.221676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q110.1
median17.5
Q326.2
95-th percentile43.66
Maximum71.9
Range71.9
Interquartile range (IQR)16.1

Descriptive statistics

Standard deviation12.45474
Coefficient of variation (CV)0.63928693
Kurtosis1.0442061
Mean19.482238
Median Absolute Deviation (MAD)7.9
Skewness0.94696518
Sum32905.5
Variance155.12055
MonotonicityNot monotonic
2024-05-11T07:31:06.889517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
7.3 12
 
0.7%
21.8 12
 
0.7%
18.4 11
 
0.6%
24.3 11
 
0.6%
15.6 11
 
0.6%
22.9 11
 
0.6%
12.9 10
 
0.6%
10.0 10
 
0.6%
9.5 10
 
0.6%
Other values (456) 1561
91.6%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 1
 
0.1%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.5 3
 
0.2%
0.6 1
 
0.1%
0.8 3
 
0.2%
0.9 1
 
0.1%
1.0 4
 
0.2%
ValueCountFrequency (%)
71.9 1
0.1%
71.4 1
0.1%
68.8 1
0.1%
68.4 1
0.1%
66.1 1
0.1%
64.0 1
0.1%
63.9 1
0.1%
62.9 1
0.1%
62.8 1
0.1%
62.5 1
0.1%

21시30분
Real number (ℝ)

ZEROS 

Distinct438
Distinct (%)25.9%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean17.975192
Minimum0
Maximum78.6
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:07.667896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6
Q19.3
median16
Q324.2
95-th percentile40.76
Maximum78.6
Range78.6
Interquartile range (IQR)14.9

Descriptive statistics

Standard deviation11.802177
Coefficient of variation (CV)0.6565814
Kurtosis1.8817229
Mean17.975192
Median Absolute Deviation (MAD)7.1
Skewness1.1166937
Sum30360.1
Variance139.29138
MonotonicityNot monotonic
2024-05-11T07:31:08.202442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
8.8 13
 
0.8%
11.6 12
 
0.7%
15.7 12
 
0.7%
6.5 12
 
0.7%
8.3 11
 
0.6%
12.0 11
 
0.6%
11.3 11
 
0.6%
11.4 11
 
0.6%
9.2 11
 
0.6%
Other values (428) 1555
91.3%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.2 2
 
0.1%
0.3 2
 
0.1%
0.4 2
 
0.1%
0.5 2
 
0.1%
0.6 1
 
0.1%
0.7 4
 
0.2%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.0 3
 
0.2%
ValueCountFrequency (%)
78.6 1
0.1%
77.5 1
0.1%
76.4 1
0.1%
73.5 1
0.1%
69.6 1
0.1%
68.7 1
0.1%
60.2 1
0.1%
59.7 1
0.1%
59.6 1
0.1%
57.8 1
0.1%

22시00분
Real number (ℝ)

ZEROS 

Distinct491
Distinct (%)29.1%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean20.033925
Minimum0
Maximum95.3
Zeros31
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:08.786488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.7
Q110.1
median16.9
Q327.2
95-th percentile46.4
Maximum95.3
Range95.3
Interquartile range (IQR)17.1

Descriptive statistics

Standard deviation14.079187
Coefficient of variation (CV)0.70276727
Kurtosis2.6883977
Mean20.033925
Median Absolute Deviation (MAD)8.1
Skewness1.3467478
Sum33837.3
Variance198.22351
MonotonicityNot monotonic
2024-05-11T07:31:09.528386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
1.8%
8.9 13
 
0.8%
11.0 12
 
0.7%
14.0 12
 
0.7%
13.1 12
 
0.7%
12.3 11
 
0.6%
13.2 11
 
0.6%
5.1 10
 
0.6%
5.3 10
 
0.6%
11.9 10
 
0.6%
Other values (481) 1557
91.4%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 31
1.8%
0.1 2
 
0.1%
0.2 1
 
0.1%
0.3 2
 
0.1%
0.4 2
 
0.1%
0.6 1
 
0.1%
0.7 2
 
0.1%
0.8 2
 
0.1%
1.0 2
 
0.1%
1.1 3
 
0.2%
ValueCountFrequency (%)
95.3 1
0.1%
90.9 1
0.1%
90.0 1
0.1%
89.7 1
0.1%
82.7 1
0.1%
78.9 1
0.1%
75.2 1
0.1%
75.0 1
0.1%
73.4 1
0.1%
72.1 1
0.1%

22시30분
Real number (ℝ)

ZEROS 

Distinct463
Distinct (%)27.4%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean18.758851
Minimum0
Maximum91.8
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:10.118801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.14
Q19
median15.1
Q325.9
95-th percentile44.98
Maximum91.8
Range91.8
Interquartile range (IQR)16.9

Descriptive statistics

Standard deviation13.605556
Coefficient of variation (CV)0.72528727
Kurtosis2.9895682
Mean18.758851
Median Absolute Deviation (MAD)7.6
Skewness1.4005663
Sum31683.7
Variance185.11116
MonotonicityNot monotonic
2024-05-11T07:31:10.552123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
8.8 14
 
0.8%
12.1 12
 
0.7%
11.4 12
 
0.7%
8.5 12
 
0.7%
8.3 11
 
0.6%
10.7 11
 
0.6%
14.8 11
 
0.6%
14.0 11
 
0.6%
7.9 11
 
0.6%
Other values (453) 1554
91.2%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 3
 
0.2%
0.2 1
 
0.1%
0.3 3
 
0.2%
0.4 1
 
0.1%
0.6 2
 
0.1%
0.7 3
 
0.2%
0.8 1
 
0.1%
0.9 2
 
0.1%
1.0 4
 
0.2%
ValueCountFrequency (%)
91.8 1
0.1%
88.0 1
0.1%
83.8 1
0.1%
83.5 1
0.1%
82.8 1
0.1%
82.6 1
0.1%
81.6 1
0.1%
80.4 1
0.1%
80.0 1
0.1%
79.0 1
0.1%

23시00분
Real number (ℝ)

ZEROS 

Distinct430
Distinct (%)25.5%
Missing15
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean16.152102
Minimum0
Maximum79.5
Zeros30
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:11.015049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q17.5
median13.1
Q322.7
95-th percentile39.76
Maximum79.5
Range79.5
Interquartile range (IQR)15.2

Descriptive statistics

Standard deviation11.88211
Coefficient of variation (CV)0.73563862
Kurtosis2.3529889
Mean16.152102
Median Absolute Deviation (MAD)6.9
Skewness1.2871797
Sum27280.9
Variance141.18453
MonotonicityNot monotonic
2024-05-11T07:31:11.519684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
1.8%
8.4 14
 
0.8%
10.0 14
 
0.8%
11.7 13
 
0.8%
6.6 13
 
0.8%
6.7 13
 
0.8%
10.5 12
 
0.7%
5.9 12
 
0.7%
10.4 12
 
0.7%
7.6 12
 
0.7%
Other values (420) 1544
90.6%
(Missing) 15
 
0.9%
ValueCountFrequency (%)
0.0 30
1.8%
0.1 5
 
0.3%
0.2 1
 
0.1%
0.3 2
 
0.1%
0.5 5
 
0.3%
0.6 2
 
0.1%
0.7 7
 
0.4%
0.8 3
 
0.2%
0.9 3
 
0.2%
1.0 1
 
0.1%
ValueCountFrequency (%)
79.5 2
0.1%
78.4 1
0.1%
72.3 1
0.1%
69.8 1
0.1%
66.0 1
0.1%
61.9 1
0.1%
60.0 1
0.1%
58.7 1
0.1%
58.4 1
0.1%
57.4 1
0.1%

23시30분
Real number (ℝ)

MISSING  ZEROS 

Distinct342
Distinct (%)20.4%
Missing29
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean11.183642
Minimum0
Maximum72.5
Zeros33
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-05-11T07:31:11.994900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14.3
median8.9
Q315.6
95-th percentile28.5
Maximum72.5
Range72.5
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation9.4188641
Coefficient of variation (CV)0.84220009
Kurtosis4.9431858
Mean11.183642
Median Absolute Deviation (MAD)5.3
Skewness1.7704952
Sum18732.6
Variance88.715001
MonotonicityNot monotonic
2024-05-11T07:31:12.450191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
1.9%
3.4 22
 
1.3%
2.8 18
 
1.1%
3.5 16
 
0.9%
2.9 16
 
0.9%
3.2 16
 
0.9%
7.0 16
 
0.9%
5.7 16
 
0.9%
2.5 15
 
0.9%
2.6 15
 
0.9%
Other values (332) 1492
87.6%
(Missing) 29
 
1.7%
ValueCountFrequency (%)
0.0 33
1.9%
0.1 4
 
0.2%
0.2 4
 
0.2%
0.3 4
 
0.2%
0.4 3
 
0.2%
0.5 7
 
0.4%
0.6 2
 
0.1%
0.7 3
 
0.2%
0.8 4
 
0.2%
0.9 11
 
0.6%
ValueCountFrequency (%)
72.5 1
0.1%
68.0 1
0.1%
64.7 1
0.1%
60.1 1
0.1%
58.2 1
0.1%
58.1 1
0.1%
57.4 1
0.1%
54.4 1
0.1%
53.5 1
0.1%
52.5 1
0.1%

Sample

조사일자호선역번호역명구분05시30분06시00분06시30분07시00분07시30분08시00분08시30분09시00분09시30분10시00분10시30분11시00분11시30분12시00분12시30분13시00분13시30분14시00분14시30분15시00분15시30분16시00분16시30분17시00분17시30분18시00분18시30분19시00분19시30분20시00분20시30분21시00분21시30분22시00분22시30분23시00분23시30분
0평일1150서울역상선6.214.613.426.843.353.670.940.438.026.623.422.422.121.527.221.224.121.718.718.518.416.417.716.724.130.828.720.015.111.112.012.510.110.416.47.86.1
1평일1150서울역하선9.18.69.315.229.327.719.018.515.113.915.214.614.217.619.620.320.525.422.030.124.433.836.743.849.784.065.137.526.525.526.426.321.132.120.312.610.3
2평일1151시청상선5.410.113.020.832.040.650.930.835.820.221.920.820.021.724.421.723.721.520.720.319.318.019.418.726.541.535.624.117.413.714.515.812.114.518.311.711.7
3평일1151시청하선7.06.810.214.527.024.720.018.414.513.514.213.713.217.318.419.619.424.222.927.026.430.630.541.145.381.259.233.822.922.024.123.021.024.818.511.89.1
4평일1152종각상선5.210.89.313.619.625.526.519.226.217.018.419.416.921.223.221.022.823.821.023.722.320.621.024.129.154.542.028.820.219.118.722.216.121.825.116.314.8
5평일1152종각하선7.87.410.918.729.737.831.324.118.514.915.615.014.416.519.919.220.525.920.029.021.030.626.037.838.360.244.222.121.217.619.218.217.021.115.110.77.1
6평일1153종로3가상선4.89.89.012.920.430.825.518.923.619.721.416.618.022.725.027.621.025.724.626.725.522.825.626.532.357.551.229.622.221.018.926.118.322.829.018.216.6
7평일1153종로3가하선9.17.314.023.338.851.649.635.626.517.518.714.617.718.719.319.220.325.618.727.220.427.223.726.634.639.934.516.816.012.813.211.710.112.99.66.94.9
8평일1154종로5가상선4.37.97.49.915.622.216.716.515.818.715.414.215.323.718.725.817.725.324.230.122.623.326.925.235.660.454.634.322.821.521.927.822.420.829.818.716.7
9평일1154종로5가하선10.87.916.428.440.758.750.742.728.520.924.319.017.324.825.918.123.025.024.425.724.124.928.326.934.640.527.418.313.812.212.110.89.611.17.96.74.3
조사일자호선역번호역명구분05시30분06시00분06시30분07시00분07시30분08시00분08시30분09시00분09시30분10시00분10시30분11시00분11시30분12시00분12시30분13시00분13시30분14시00분14시30분15시00분15시30분16시00분16시30분17시00분17시30분18시00분18시30분19시00분19시30분20시00분20시30분21시00분21시30분22시00분22시30분23시00분23시30분
1694일요일82823남한산성입구상선7.54.35.27.36.510.311.013.413.213.612.015.811.315.012.615.312.211.311.811.211.511.811.59.88.58.65.76.15.25.34.13.83.24.11.92.31.1
1695일요일82823남한산성입구하선5.92.63.82.62.83.74.15.15.15.25.24.16.36.67.310.18.57.210.77.19.89.010.011.410.110.38.58.07.18.77.99.87.57.46.64.84.5
1696일요일82824단대오거리상선5.22.94.34.84.46.57.29.09.19.28.410.77.39.98.610.99.68.17.38.59.69.39.88.47.86.16.25.85.34.64.84.53.54.23.22.71.3
1697일요일82824단대오거리하선6.53.02.42.42.64.13.85.15.25.54.84.05.76.07.48.46.46.47.95.96.77.17.26.86.66.05.55.53.64.44.26.23.53.63.32.32.4
1698일요일82825신흥상선3.02.13.63.12.73.74.45.36.15.35.65.74.46.65.36.66.85.35.36.76.27.26.97.47.36.55.64.94.34.44.65.13.84.13.73.01.4
1699일요일82825신흥하선7.03.02.22.12.63.73.75.45.25.24.43.95.04.96.76.95.15.26.35.45.76.25.24.55.14.44.24.02.63.22.63.72.42.41.62.21.5
1700일요일82826수진상선2.41.53.22.22.22.73.13.85.04.24.54.23.95.34.15.16.03.74.26.15.26.25.65.87.65.85.04.64.13.44.44.24.13.93.82.61.4
1701일요일82826수진하선9.34.12.62.13.14.34.55.56.05.44.64.05.15.26.16.04.85.05.45.25.15.85.14.34.23.53.22.61.92.31.51.81.31.30.91.10.5
1702일요일82827모란상선1.60.92.51.31.21.62.12.83.62.53.42.72.83.93.24.45.63.44.05.05.05.94.95.16.85.54.84.74.23.74.84.14.04.04.22.71.8
1703일요일82827모란하선0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0