Overview

Dataset statistics

Number of variables44
Number of observations1668
Missing cells2224
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory638.7 KiB
Average record size in memory392.1 B

Variable types

Categorical3
Numeric40
Text1

Dataset

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

Alerts

24:00~ (%) has 1112 (66.7%) missing valuesMissing
24:30~ (%) has 1112 (66.7%) missing valuesMissing
5:30~ (%) has 66 (4.0%) zerosZeros
6:00~ (%) has 42 (2.5%) zerosZeros
6:30~ (%) has 42 (2.5%) zerosZeros
7:00~ (%) has 39 (2.3%) zerosZeros
7:30~ (%) has 39 (2.3%) zerosZeros
8:00~ (%) has 42 (2.5%) zerosZeros
8:30~ (%) has 42 (2.5%) zerosZeros
9:00~ (%) has 40 (2.4%) zerosZeros
9:30~ (%) has 39 (2.3%) zerosZeros
10:00~ (%) has 39 (2.3%) zerosZeros
10:30~ (%) has 39 (2.3%) zerosZeros
11:00~ (%) has 39 (2.3%) zerosZeros
11:30~ (%) has 39 (2.3%) zerosZeros
12:00~ (%) has 39 (2.3%) zerosZeros
12:30~ (%) has 39 (2.3%) zerosZeros
13:00~ (%) has 39 (2.3%) zerosZeros
13:30~ (%) has 39 (2.3%) zerosZeros
14:00~ (%) has 39 (2.3%) zerosZeros
14:30~ (%) has 39 (2.3%) zerosZeros
15:00~ (%) has 39 (2.3%) zerosZeros
15:30~ (%) has 39 (2.3%) zerosZeros
16:00~ (%) has 39 (2.3%) zerosZeros
16:30~ (%) has 39 (2.3%) zerosZeros
17:00~ (%) has 39 (2.3%) zerosZeros
17:30~ (%) has 39 (2.3%) zerosZeros
18:00~ (%) has 39 (2.3%) zerosZeros
18:30~ (%) has 39 (2.3%) zerosZeros
19:00~ (%) has 39 (2.3%) zerosZeros
19:30~ (%) has 39 (2.3%) zerosZeros
20:00~ (%) has 39 (2.3%) zerosZeros
20:30~ (%) has 39 (2.3%) zerosZeros
21:00~ (%) has 39 (2.3%) zerosZeros
21:30~ (%) has 39 (2.3%) zerosZeros
22:00~ (%) has 39 (2.3%) zerosZeros
22:30~ (%) has 39 (2.3%) zerosZeros
23:00~ (%) has 39 (2.3%) zerosZeros
23:30~ (%) has 51 (3.1%) zerosZeros
24:00~ (%) has 20 (1.2%) zerosZeros
24:30~ (%) has 46 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 07:28:26.028836
Analysis finished2024-05-11 07:28:27.214459
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

요일
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
평일
556 
토요일
556 
일요일
556 

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 556
33.3%
토요일 556
33.3%
일요일 556
33.3%

Length

2024-05-11T07:28:27.812899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:28:28.234452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 556
33.3%
토요일 556
33.3%
일요일 556
33.3%

호선
Categorical

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
5
309 
7
306 
2
258 
6
213 
3
204 
Other values (5)
378 

Length

Max length4
Median length1
Mean length1.1079137
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
5 309
18.5%
7 306
18.3%
2 258
15.5%
6 213
12.8%
3 204
12.2%
4 156
9.4%
8 102
 
6.1%
1 60
 
3.6%
성수지선 30
 
1.8%
신정지선 30
 
1.8%

Length

2024-05-11T07:28:28.694343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:28:29.148831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 309
18.5%
7 306
18.3%
2 258
15.5%
6 213
12.8%
3 204
12.2%
4 156
9.4%
8 102
 
6.1%
1 60
 
3.6%
성수지선 30
 
1.8%
신정지선 30
 
1.8%

역번호
Real number (ℝ)

Distinct279
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1615.6781
Minimum150
Maximum9005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:29.826966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204.35
Q1315
median2526.5
Q32647
95-th percentile2814
Maximum9005
Range8855
Interquartile range (IQR)2332

Descriptive statistics

Standard deviation1206.0892
Coefficient of variation (CV)0.74649107
Kurtosis-0.31701804
Mean1615.6781
Median Absolute Deviation (MAD)285.5
Skewness0.045436867
Sum2694951
Variance1454651.3
MonotonicityNot monotonic
2024-05-11T07:28:30.568215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211 12
 
0.7%
234 12
 
0.7%
2549 7
 
0.4%
2634 6
 
0.4%
2639 6
 
0.4%
2638 6
 
0.4%
2637 6
 
0.4%
2636 6
 
0.4%
2635 6
 
0.4%
150 6
 
0.4%
Other values (269) 1595
95.6%
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 (%)
9005 2
 
0.1%
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%

역명
Text

Distinct243
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-11T07:28:31.373066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.9874101
Min length2

Characters and Unicode

Total characters4983
Distinct characters212
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 row시청
3rd row종각
4th row종로3가
5th row종로5가
ValueCountFrequency (%)
동대문역사문화공원 18
 
1.1%
종로3가 18
 
1.1%
충정로 12
 
0.7%
충무로 12
 
0.7%
서울역 12
 
0.7%
삼각지 12
 
0.7%
대림 12
 
0.7%
영등포구청 12
 
0.7%
합정 12
 
0.7%
신도림 12
 
0.7%
Other values (233) 1536
92.1%
2024-05-11T07:28:32.683596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
4.0%
177
 
3.6%
156
 
3.1%
153
 
3.1%
111
 
2.2%
96
 
1.9%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (202) 3732
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4911
98.6%
Decimal Number 48
 
1.0%
Close Punctuation 12
 
0.2%
Open Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
198
 
4.0%
177
 
3.6%
156
 
3.2%
153
 
3.1%
111
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3660
74.5%
Decimal Number
ValueCountFrequency (%)
3 30
62.5%
4 12
 
25.0%
5 6
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4911
98.6%
Common 72
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
198
 
4.0%
177
 
3.6%
156
 
3.2%
153
 
3.1%
111
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3660
74.5%
Common
ValueCountFrequency (%)
3 30
41.7%
4 12
 
16.7%
) 12
 
16.7%
( 12
 
16.7%
5 6
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4911
98.6%
ASCII 72
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
198
 
4.0%
177
 
3.6%
156
 
3.2%
153
 
3.1%
111
 
2.3%
96
 
2.0%
90
 
1.8%
90
 
1.8%
90
 
1.8%
90
 
1.8%
Other values (197) 3660
74.5%
ASCII
ValueCountFrequency (%)
3 30
41.7%
4 12
 
16.7%
) 12
 
16.7%
( 12
 
16.7%
5 6
 
8.3%

방향
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
하선
684 
상선
666 
내선
159 
외선
159 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하선 684
41.0%
상선 666
39.9%
내선 159
 
9.5%
외선 159
 
9.5%

Length

2024-05-11T07:28:33.119048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:28:33.431577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하선 684
41.0%
상선 666
39.9%
내선 159
 
9.5%
외선 159
 
9.5%

5:30~ (%)
Real number (ℝ)

ZEROS 

Distinct430
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.302938
Minimum0
Maximum96.1
Zeros66
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:33.815451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q17.8
median13
Q321.5
95-th percentile42.99
Maximum96.1
Range96.1
Interquartile range (IQR)13.7

Descriptive statistics

Standard deviation13.279515
Coefficient of variation (CV)0.81454739
Kurtosis5.6254121
Mean16.302938
Median Absolute Deviation (MAD)6.1
Skewness1.9865455
Sum27193.3
Variance176.34553
MonotonicityNot monotonic
2024-05-11T07:28:34.344758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 66
 
4.0%
7.6 13
 
0.8%
8.3 13
 
0.8%
9.0 13
 
0.8%
8.7 13
 
0.8%
7.7 12
 
0.7%
9.1 12
 
0.7%
4.9 12
 
0.7%
6.7 12
 
0.7%
8.6 11
 
0.7%
Other values (420) 1491
89.4%
ValueCountFrequency (%)
0.0 66
4.0%
0.2 2
 
0.1%
0.3 1
 
0.1%
0.4 2
 
0.1%
0.5 1
 
0.1%
0.6 2
 
0.1%
0.9 1
 
0.1%
1.0 2
 
0.1%
1.1 1
 
0.1%
1.2 2
 
0.1%
ValueCountFrequency (%)
96.1 1
0.1%
89.6 1
0.1%
85.6 1
0.1%
83.2 1
0.1%
83.1 1
0.1%
82.1 1
0.1%
80.1 1
0.1%
78.7 1
0.1%
77.8 1
0.1%
77.0 1
0.1%

6:00~ (%)
Real number (ℝ)

ZEROS 

Distinct383
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.841547
Minimum0
Maximum67.9
Zeros42
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:34.766443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18.9
median14.1
Q320.4
95-th percentile35.4
Maximum67.9
Range67.9
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation10.084325
Coefficient of variation (CV)0.63657452
Kurtosis2.6187298
Mean15.841547
Median Absolute Deviation (MAD)5.6
Skewness1.274366
Sum26423.7
Variance101.69361
MonotonicityNot monotonic
2024-05-11T07:28:35.266204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
2.5%
17.2 15
 
0.9%
8.8 15
 
0.9%
13.8 14
 
0.8%
8.1 13
 
0.8%
10.0 13
 
0.8%
18.7 13
 
0.8%
10.9 13
 
0.8%
9.8 13
 
0.8%
15.8 12
 
0.7%
Other values (373) 1505
90.2%
ValueCountFrequency (%)
0.0 42
2.5%
0.3 1
 
0.1%
0.6 2
 
0.1%
0.7 1
 
0.1%
0.8 1
 
0.1%
1.0 2
 
0.1%
1.1 2
 
0.1%
1.4 3
 
0.2%
1.5 1
 
0.1%
1.6 2
 
0.1%
ValueCountFrequency (%)
67.9 1
0.1%
67.1 1
0.1%
64.7 1
0.1%
64.0 1
0.1%
62.1 1
0.1%
61.0 1
0.1%
56.3 1
0.1%
54.6 1
0.1%
54.2 1
0.1%
53.3 1
0.1%

6:30~ (%)
Real number (ℝ)

ZEROS 

Distinct394
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.057794
Minimum0
Maximum70.8
Zeros42
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:35.702067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.8
Q18.4
median12.35
Q318.9
95-th percentile36.63
Maximum70.8
Range70.8
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.662
Coefficient of variation (CV)0.70807185
Kurtosis3.9479612
Mean15.057794
Median Absolute Deviation (MAD)4.8
Skewness1.7149419
Sum25116.4
Variance113.67824
MonotonicityNot monotonic
2024-05-11T07:28:36.170493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
2.5%
11.3 22
 
1.3%
7.4 18
 
1.1%
10.9 18
 
1.1%
11.5 16
 
1.0%
9.8 15
 
0.9%
8.9 15
 
0.9%
11.4 15
 
0.9%
10.8 14
 
0.8%
12.4 14
 
0.8%
Other values (384) 1479
88.7%
ValueCountFrequency (%)
0.0 42
2.5%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 2
 
0.1%
0.7 2
 
0.1%
0.8 1
 
0.1%
0.9 2
 
0.1%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.2 2
 
0.1%
ValueCountFrequency (%)
70.8 1
0.1%
70.1 1
0.1%
66.7 2
0.1%
66.4 1
0.1%
63.6 1
0.1%
61.1 1
0.1%
58.8 1
0.1%
58.2 1
0.1%
57.6 1
0.1%
57.4 1
0.1%

7:00~ (%)
Real number (ℝ)

ZEROS 

Distinct494
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.118046
Minimum0
Maximum101.5
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:36.630911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q18.775
median13.6
Q323.4
95-th percentile54.695
Maximum101.5
Range101.5
Interquartile range (IQR)14.625

Descriptive statistics

Standard deviation16.822597
Coefficient of variation (CV)0.8799329
Kurtosis4.5717614
Mean19.118046
Median Absolute Deviation (MAD)6.2
Skewness2.0028425
Sum31888.9
Variance282.99978
MonotonicityNot monotonic
2024-05-11T07:28:37.109206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
6.8 16
 
1.0%
9.3 15
 
0.9%
8.9 15
 
0.9%
10.2 14
 
0.8%
14.5 14
 
0.8%
8.8 14
 
0.8%
8.6 14
 
0.8%
11.9 13
 
0.8%
9.2 12
 
0.7%
Other values (484) 1502
90.0%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 3
 
0.2%
0.3 1
 
0.1%
0.5 2
 
0.1%
0.6 1
 
0.1%
0.7 2
 
0.1%
0.8 1
 
0.1%
1.0 2
 
0.1%
1.1 2
 
0.1%
1.2 1
 
0.1%
ValueCountFrequency (%)
101.5 1
0.1%
101.1 1
0.1%
100.0 1
0.1%
98.4 1
0.1%
97.1 1
0.1%
96.2 1
0.1%
96.0 1
0.1%
95.2 1
0.1%
91.1 1
0.1%
90.6 1
0.1%

7:30~ (%)
Real number (ℝ)

ZEROS 

Distinct611
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.319245
Minimum0
Maximum132.4
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:37.510536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q110.8
median17.5
Q333.1
95-th percentile78.96
Maximum132.4
Range132.4
Interquartile range (IQR)22.3

Descriptive statistics

Standard deviation24.082659
Coefficient of variation (CV)0.91502089
Kurtosis2.8592489
Mean26.319245
Median Absolute Deviation (MAD)9
Skewness1.7351231
Sum43900.5
Variance579.97444
MonotonicityNot monotonic
2024-05-11T07:28:37.807165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
13.0 14
 
0.8%
12.9 12
 
0.7%
15.0 11
 
0.7%
10.4 11
 
0.7%
12.6 10
 
0.6%
18.9 10
 
0.6%
11.2 10
 
0.6%
14.7 10
 
0.6%
8.7 10
 
0.6%
Other values (601) 1531
91.8%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 1
 
0.1%
0.2 2
 
0.1%
0.6 4
 
0.2%
0.8 3
 
0.2%
0.9 1
 
0.1%
1.1 1
 
0.1%
1.2 3
 
0.2%
1.3 1
 
0.1%
1.4 3
 
0.2%
ValueCountFrequency (%)
132.4 1
 
0.1%
129.7 1
 
0.1%
127.7 1
 
0.1%
122.4 1
 
0.1%
121.4 1
 
0.1%
121.3 1
 
0.1%
119.9 3
0.2%
119.8 1
 
0.1%
118.9 1
 
0.1%
115.9 1
 
0.1%

8:00~ (%)
Real number (ℝ)

ZEROS 

Distinct710
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.732734
Minimum0
Maximum159.7
Zeros42
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:38.170215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.435
Q114.2
median22.95
Q342.3
95-th percentile98.825
Maximum159.7
Range159.7
Interquartile range (IQR)28.1

Descriptive statistics

Standard deviation30.021974
Coefficient of variation (CV)0.88999527
Kurtosis2.3459457
Mean33.732734
Median Absolute Deviation (MAD)11.75
Skewness1.626416
Sum56266.2
Variance901.3189
MonotonicityNot monotonic
2024-05-11T07:28:38.580382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
2.5%
14.8 12
 
0.7%
15.9 11
 
0.7%
18.1 10
 
0.6%
6.8 10
 
0.6%
13.8 9
 
0.5%
18.9 9
 
0.5%
19.9 9
 
0.5%
16.8 9
 
0.5%
14.6 8
 
0.5%
Other values (700) 1539
92.3%
ValueCountFrequency (%)
0.0 42
2.5%
0.3 1
 
0.1%
0.4 2
 
0.1%
1.1 2
 
0.1%
1.4 2
 
0.1%
1.6 1
 
0.1%
1.7 2
 
0.1%
1.8 2
 
0.1%
1.9 1
 
0.1%
2.0 1
 
0.1%
ValueCountFrequency (%)
159.7 1
0.1%
155.9 1
0.1%
152.9 1
0.1%
151.4 1
0.1%
147.8 1
0.1%
146.4 1
0.1%
144.4 1
0.1%
143.7 1
0.1%
142.4 2
0.1%
141.9 1
0.1%

8:30~ (%)
Real number (ℝ)

ZEROS 

Distinct660
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.222662
Minimum0
Maximum170.3
Zeros42
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:38.977180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.035
Q114.8
median23.1
Q338.625
95-th percentile88.4
Maximum170.3
Range170.3
Interquartile range (IQR)23.825

Descriptive statistics

Standard deviation25.944118
Coefficient of variation (CV)0.8309387
Kurtosis3.6404524
Mean31.222662
Median Absolute Deviation (MAD)10.45
Skewness1.78654
Sum52079.4
Variance673.09727
MonotonicityNot monotonic
2024-05-11T07:28:39.529786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
2.5%
18.2 11
 
0.7%
27.1 10
 
0.6%
18.6 10
 
0.6%
17.4 10
 
0.6%
17.1 10
 
0.6%
16.1 9
 
0.5%
26.3 9
 
0.5%
16.8 9
 
0.5%
17.6 9
 
0.5%
Other values (650) 1539
92.3%
ValueCountFrequency (%)
0.0 42
2.5%
0.3 1
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
1.2 2
 
0.1%
1.4 1
 
0.1%
1.6 1
 
0.1%
1.9 1
 
0.1%
2.0 1
 
0.1%
2.1 1
 
0.1%
ValueCountFrequency (%)
170.3 1
0.1%
161.3 1
0.1%
154.2 1
0.1%
151.7 1
0.1%
146.7 1
0.1%
144.4 1
0.1%
143.7 1
0.1%
142.5 1
0.1%
141.2 1
0.1%
140.8 1
0.1%

9:00~ (%)
Real number (ℝ)

ZEROS 

Distinct619
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.26271
Minimum0
Maximum145.7
Zeros40
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:40.052586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q115.6
median24
Q337.225
95-th percentile70.925
Maximum145.7
Range145.7
Interquartile range (IQR)21.625

Descriptive statistics

Standard deviation21.151069
Coefficient of variation (CV)0.72279939
Kurtosis3.220095
Mean29.26271
Median Absolute Deviation (MAD)10
Skewness1.5431285
Sum48810.2
Variance447.36771
MonotonicityNot monotonic
2024-05-11T07:28:40.619818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
 
2.4%
22.0 10
 
0.6%
17.4 10
 
0.6%
19.2 10
 
0.6%
18.0 9
 
0.5%
26.1 9
 
0.5%
24.3 9
 
0.5%
22.1 9
 
0.5%
24.0 9
 
0.5%
13.4 9
 
0.5%
Other values (609) 1544
92.6%
ValueCountFrequency (%)
0.0 40
2.4%
0.1 3
 
0.2%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.8 1
 
0.1%
1.0 2
 
0.1%
1.2 1
 
0.1%
1.3 2
 
0.1%
1.4 1
 
0.1%
1.5 2
 
0.1%
ValueCountFrequency (%)
145.7 1
0.1%
140.1 1
0.1%
138.8 1
0.1%
131.2 1
0.1%
117.1 1
0.1%
115.9 1
0.1%
114.9 1
0.1%
114.3 1
0.1%
113.3 1
0.1%
112.2 1
0.1%

9:30~ (%)
Real number (ℝ)

ZEROS 

Distinct589
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.416367
Minimum0
Maximum102.5
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:41.184875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q117.9
median26.3
Q338
95-th percentile64.395
Maximum102.5
Range102.5
Interquartile range (IQR)20.1

Descriptive statistics

Standard deviation17.645888
Coefficient of variation (CV)0.59986632
Kurtosis1.3251464
Mean29.416367
Median Absolute Deviation (MAD)9.8
Skewness1.0142805
Sum49066.5
Variance311.37735
MonotonicityNot monotonic
2024-05-11T07:28:41.758051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
24.4 11
 
0.7%
30.4 11
 
0.7%
28.4 11
 
0.7%
22.0 11
 
0.7%
30.6 10
 
0.6%
23.4 10
 
0.6%
21.4 10
 
0.6%
26.5 9
 
0.5%
21.8 9
 
0.5%
Other values (579) 1537
92.1%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
1.1 1
 
0.1%
1.3 1
 
0.1%
1.5 1
 
0.1%
1.6 1
 
0.1%
ValueCountFrequency (%)
102.5 1
0.1%
101.8 1
0.1%
96.0 1
0.1%
93.6 2
0.1%
93.0 1
0.1%
92.4 1
0.1%
91.3 2
0.1%
90.6 1
0.1%
90.1 1
0.1%
89.9 1
0.1%

10:00~ (%)
Real number (ℝ)

ZEROS 

Distinct532
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.948082
Minimum0
Maximum89.4
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:42.702665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.3
Q117.2
median25.1
Q335.3
95-th percentile53.32
Maximum89.4
Range89.4
Interquartile range (IQR)18.1

Descriptive statistics

Standard deviation14.679659
Coefficient of variation (CV)0.54473855
Kurtosis0.8613004
Mean26.948082
Median Absolute Deviation (MAD)9
Skewness0.70993809
Sum44949.4
Variance215.49238
MonotonicityNot monotonic
2024-05-11T07:28:43.294845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
20.7 13
 
0.8%
21.2 12
 
0.7%
19.4 12
 
0.7%
17.8 10
 
0.6%
28.3 9
 
0.5%
23.7 9
 
0.5%
25.9 9
 
0.5%
25.7 9
 
0.5%
17.4 8
 
0.5%
Other values (522) 1538
92.2%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.4 1
 
0.1%
0.9 1
 
0.1%
1.2 1
 
0.1%
1.3 3
 
0.2%
1.4 3
 
0.2%
1.6 2
 
0.1%
1.7 2
 
0.1%
2.2 1
 
0.1%
ValueCountFrequency (%)
89.4 1
0.1%
87.0 1
0.1%
85.7 1
0.1%
84.5 1
0.1%
79.6 1
0.1%
77.3 1
0.1%
76.2 1
0.1%
75.9 1
0.1%
75.6 1
0.1%
74.2 1
0.1%

10:30~ (%)
Real number (ℝ)

ZEROS 

Distinct528
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.41283
Minimum0
Maximum97.3
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:43.731781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.2
Q117.9
median25.8
Q335.9
95-th percentile53.83
Maximum97.3
Range97.3
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.640608
Coefficient of variation (CV)0.53407869
Kurtosis0.80431819
Mean27.41283
Median Absolute Deviation (MAD)9
Skewness0.62819295
Sum45724.6
Variance214.34741
MonotonicityNot monotonic
2024-05-11T07:28:44.298045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
24.3 13
 
0.8%
22.0 9
 
0.5%
32.9 9
 
0.5%
29.2 9
 
0.5%
21.1 9
 
0.5%
32.0 9
 
0.5%
21.7 9
 
0.5%
30.6 9
 
0.5%
35.0 9
 
0.5%
Other values (518) 1544
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 2
 
0.1%
0.5 3
 
0.2%
0.6 1
 
0.1%
1.1 1
 
0.1%
1.3 1
 
0.1%
1.5 1
 
0.1%
1.6 1
 
0.1%
1.8 3
 
0.2%
1.9 1
 
0.1%
ValueCountFrequency (%)
97.3 1
0.1%
86.0 1
0.1%
85.3 1
0.1%
84.0 1
0.1%
82.6 1
0.1%
76.0 1
0.1%
75.7 1
0.1%
75.1 1
0.1%
74.7 1
0.1%
74.3 1
0.1%

11:00~ (%)
Real number (ℝ)

ZEROS 

Distinct561
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.507374
Minimum0
Maximum97.6
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:44.904263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q118.2
median27.4
Q337.825
95-th percentile55.365
Maximum97.6
Range97.6
Interquartile range (IQR)19.625

Descriptive statistics

Standard deviation15.124665
Coefficient of variation (CV)0.53055272
Kurtosis0.59078157
Mean28.507374
Median Absolute Deviation (MAD)9.7
Skewness0.51939984
Sum47550.3
Variance228.75549
MonotonicityNot monotonic
2024-05-11T07:28:45.528429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
30.3 14
 
0.8%
26.1 10
 
0.6%
23.6 10
 
0.6%
21.5 9
 
0.5%
25.7 9
 
0.5%
24.3 9
 
0.5%
25.5 9
 
0.5%
20.3 9
 
0.5%
40.6 9
 
0.5%
Other values (551) 1541
92.4%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 1
 
0.1%
0.4 3
 
0.2%
0.5 2
 
0.1%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.6 1
 
0.1%
1.9 1
 
0.1%
ValueCountFrequency (%)
97.6 1
0.1%
92.4 1
0.1%
91.7 1
0.1%
91.1 1
0.1%
88.1 1
0.1%
79.1 1
0.1%
73.8 1
0.1%
72.3 1
0.1%
72.2 1
0.1%
71.8 1
0.1%

11:30~ (%)
Real number (ℝ)

ZEROS 

Distinct564
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.794964
Minimum0
Maximum94.9
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:46.043735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.105
Q118.8
median28.95
Q339.6
95-th percentile57.73
Maximum94.9
Range94.9
Interquartile range (IQR)20.8

Descriptive statistics

Standard deviation15.629956
Coefficient of variation (CV)0.52458383
Kurtosis0.46352741
Mean29.794964
Median Absolute Deviation (MAD)10.35
Skewness0.47967719
Sum49698
Variance244.29554
MonotonicityNot monotonic
2024-05-11T07:28:46.565963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
31.4 11
 
0.7%
21.1 10
 
0.6%
27.4 10
 
0.6%
41.1 10
 
0.6%
30.4 9
 
0.5%
28.2 9
 
0.5%
31.2 9
 
0.5%
38.5 8
 
0.5%
18.4 8
 
0.5%
Other values (554) 1545
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.5 1
 
0.1%
0.6 3
 
0.2%
1.1 1
 
0.1%
1.2 1
 
0.1%
1.5 1
 
0.1%
1.7 1
 
0.1%
1.9 1
 
0.1%
ValueCountFrequency (%)
94.9 1
0.1%
93.5 1
0.1%
92.7 1
0.1%
90.2 1
0.1%
87.1 1
0.1%
80.9 1
0.1%
80.8 1
0.1%
78.6 1
0.1%
77.3 1
0.1%
76.7 1
0.1%

12:00~ (%)
Real number (ℝ)

ZEROS 

Distinct564
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.065707
Minimum0
Maximum86.1
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:47.019912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q119.675
median30
Q339.625
95-th percentile55.665
Maximum86.1
Range86.1
Interquartile range (IQR)19.95

Descriptive statistics

Standard deviation14.871872
Coefficient of variation (CV)0.49464567
Kurtosis-0.21089938
Mean30.065707
Median Absolute Deviation (MAD)9.95
Skewness0.17274027
Sum50149.6
Variance221.17257
MonotonicityNot monotonic
2024-05-11T07:28:47.484696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
31.7 11
 
0.7%
28.3 11
 
0.7%
29.6 10
 
0.6%
30.1 10
 
0.6%
23.6 8
 
0.5%
30.7 8
 
0.5%
27.6 8
 
0.5%
29.8 8
 
0.5%
30.2 8
 
0.5%
Other values (554) 1547
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.3 3
 
0.2%
0.4 1
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
1.2 1
 
0.1%
1.4 1
 
0.1%
1.8 1
 
0.1%
1.9 2
 
0.1%
ValueCountFrequency (%)
86.1 1
0.1%
74.3 1
0.1%
74.2 1
0.1%
73.4 1
0.1%
72.7 1
0.1%
72.1 1
0.1%
71.4 1
0.1%
69.9 1
0.1%
68.3 1
0.1%
67.7 1
0.1%

12:30~ (%)
Real number (ℝ)

ZEROS 

Distinct571
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.114748
Minimum0
Maximum86.9
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:48.100593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.6
Q121.275
median32.2
Q342.6
95-th percentile58.4
Maximum86.9
Range86.9
Interquartile range (IQR)21.325

Descriptive statistics

Standard deviation15.670728
Coefficient of variation (CV)0.48796047
Kurtosis-0.20412674
Mean32.114748
Median Absolute Deviation (MAD)10.7
Skewness0.14057914
Sum53567.4
Variance245.57171
MonotonicityNot monotonic
2024-05-11T07:28:48.770088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
24.0 11
 
0.7%
38.8 11
 
0.7%
32.2 10
 
0.6%
29.2 9
 
0.5%
33.2 9
 
0.5%
24.6 9
 
0.5%
15.0 9
 
0.5%
23.3 8
 
0.5%
33.7 8
 
0.5%
Other values (561) 1545
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.3 2
 
0.1%
0.4 1
 
0.1%
0.6 1
 
0.1%
1.0 1
 
0.1%
1.5 1
 
0.1%
1.6 1
 
0.1%
1.8 1
 
0.1%
1.9 1
 
0.1%
ValueCountFrequency (%)
86.9 1
0.1%
79.3 1
0.1%
78.9 1
0.1%
77.5 1
0.1%
76.0 1
0.1%
75.9 1
0.1%
75.1 1
0.1%
74.8 1
0.1%
74.6 1
0.1%
74.3 1
0.1%

13:00~ (%)
Real number (ℝ)

ZEROS 

Distinct579
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.893825
Minimum0
Maximum99.2
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:49.544050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.07
Q122.4
median33
Q343.4
95-th percentile59.065
Maximum99.2
Range99.2
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.720401
Coefficient of variation (CV)0.47791344
Kurtosis-0.017635832
Mean32.893825
Median Absolute Deviation (MAD)10.45
Skewness0.11736894
Sum54866.9
Variance247.13101
MonotonicityNot monotonic
2024-05-11T07:28:50.155369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
35.6 10
 
0.6%
33.0 9
 
0.5%
25.3 9
 
0.5%
38.1 9
 
0.5%
35.7 9
 
0.5%
45.2 9
 
0.5%
39.6 9
 
0.5%
32.0 8
 
0.5%
31.4 7
 
0.4%
Other values (569) 1550
92.9%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 4
 
0.2%
0.3 1
 
0.1%
0.4 1
 
0.1%
1.1 1
 
0.1%
1.5 2
 
0.1%
1.7 1
 
0.1%
2.3 2
 
0.1%
2.6 2
 
0.1%
2.7 1
 
0.1%
ValueCountFrequency (%)
99.2 1
0.1%
85.1 1
0.1%
84.7 1
0.1%
82.0 2
0.1%
79.9 1
0.1%
78.0 1
0.1%
76.8 1
0.1%
75.9 1
0.1%
75.0 1
0.1%
74.2 1
0.1%

13:30~ (%)
Real number (ℝ)

ZEROS 

Distinct590
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.346283
Minimum0
Maximum89.5
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:50.779734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.87
Q123.2
median33
Q343.7
95-th percentile61
Maximum89.5
Range89.5
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation16.156072
Coefficient of variation (CV)0.48449394
Kurtosis-0.00074007856
Mean33.346283
Median Absolute Deviation (MAD)10.4
Skewness0.19033641
Sum55621.6
Variance261.01866
MonotonicityNot monotonic
2024-05-11T07:28:51.341147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
33.8 11
 
0.7%
25.1 11
 
0.7%
27.2 10
 
0.6%
30.3 10
 
0.6%
31.6 9
 
0.5%
31.3 9
 
0.5%
32.4 8
 
0.5%
49.0 8
 
0.5%
29.0 8
 
0.5%
Other values (580) 1545
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 3
 
0.2%
0.3 1
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
1.3 1
 
0.1%
2.1 1
 
0.1%
2.2 1
 
0.1%
2.3 1
 
0.1%
2.4 1
 
0.1%
ValueCountFrequency (%)
89.5 1
0.1%
89.1 1
0.1%
83.7 1
0.1%
81.6 1
0.1%
81.5 1
0.1%
81.2 1
0.1%
81.0 1
0.1%
80.6 1
0.1%
78.7 1
0.1%
78.6 1
0.1%

14:00~ (%)
Real number (ℝ)

ZEROS 

Distinct563
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.27482
Minimum0
Maximum82.5
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:52.000639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.1
Q122.275
median32.4
Q341.9
95-th percentile58.765
Maximum82.5
Range82.5
Interquartile range (IQR)19.625

Descriptive statistics

Standard deviation15.209489
Coefficient of variation (CV)0.47124939
Kurtosis-0.24464674
Mean32.27482
Median Absolute Deviation (MAD)9.8
Skewness0.036950278
Sum53834.4
Variance231.32857
MonotonicityNot monotonic
2024-05-11T07:28:52.799721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
26.6 11
 
0.7%
28.9 10
 
0.6%
38.9 9
 
0.5%
40.5 9
 
0.5%
37.6 9
 
0.5%
27.9 9
 
0.5%
38.0 9
 
0.5%
30.5 8
 
0.5%
34.0 8
 
0.5%
Other values (553) 1547
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 1
 
0.1%
0.2 3
 
0.2%
0.6 1
 
0.1%
0.8 1
 
0.1%
1.1 1
 
0.1%
1.9 1
 
0.1%
2.2 1
 
0.1%
2.4 2
 
0.1%
2.5 1
 
0.1%
ValueCountFrequency (%)
82.5 1
0.1%
78.3 1
0.1%
72.3 1
0.1%
72.2 1
0.1%
71.6 1
0.1%
71.5 1
0.1%
70.7 1
0.1%
70.5 1
0.1%
70.1 1
0.1%
69.7 1
0.1%

14:30~ (%)
Real number (ℝ)

ZEROS 

Distinct573
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.38741
Minimum0
Maximum89.6
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:53.505891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.54
Q122.4
median32.35
Q342
95-th percentile57.765
Maximum89.6
Range89.6
Interquartile range (IQR)19.6

Descriptive statistics

Standard deviation15.364976
Coefficient of variation (CV)0.47441199
Kurtosis-0.12441794
Mean32.38741
Median Absolute Deviation (MAD)9.85
Skewness0.093296136
Sum54022.2
Variance236.08248
MonotonicityNot monotonic
2024-05-11T07:28:54.058091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
33.6 11
 
0.7%
36.4 10
 
0.6%
29.9 10
 
0.6%
40.3 9
 
0.5%
41.4 9
 
0.5%
40.2 9
 
0.5%
28.6 8
 
0.5%
41.5 8
 
0.5%
36.3 8
 
0.5%
Other values (563) 1547
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.3 2
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
1.0 1
 
0.1%
2.2 1
 
0.1%
2.3 1
 
0.1%
2.4 1
 
0.1%
ValueCountFrequency (%)
89.6 1
0.1%
83.4 1
0.1%
83.3 1
0.1%
79.8 1
0.1%
77.7 1
0.1%
76.1 1
0.1%
74.3 2
0.1%
73.2 1
0.1%
72.9 1
0.1%
72.0 1
0.1%

15:00~ (%)
Real number (ℝ)

ZEROS 

Distinct551
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.855755
Minimum0
Maximum80.7
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:54.645271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8
Q123.1
median33.4
Q342.525
95-th percentile57.265
Maximum80.7
Range80.7
Interquartile range (IQR)19.425

Descriptive statistics

Standard deviation15.217943
Coefficient of variation (CV)0.46317435
Kurtosis-0.079816947
Mean32.855755
Median Absolute Deviation (MAD)9.7
Skewness0.022652565
Sum54803.4
Variance231.58579
MonotonicityNot monotonic
2024-05-11T07:28:55.262260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
26.1 11
 
0.7%
29.9 9
 
0.5%
28.7 9
 
0.5%
37.1 9
 
0.5%
38.8 9
 
0.5%
35.0 9
 
0.5%
40.2 9
 
0.5%
38.3 9
 
0.5%
40.6 9
 
0.5%
Other values (541) 1546
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 2
 
0.1%
0.4 2
 
0.1%
0.5 2
 
0.1%
1.2 1
 
0.1%
2.0 1
 
0.1%
2.3 1
 
0.1%
2.6 1
 
0.1%
2.7 2
 
0.1%
2.8 2
 
0.1%
ValueCountFrequency (%)
80.7 1
0.1%
79.9 1
0.1%
79.1 1
0.1%
78.3 1
0.1%
77.9 1
0.1%
77.7 1
0.1%
77.1 1
0.1%
76.7 1
0.1%
74.2 1
0.1%
73.7 1
0.1%

15:30~ (%)
Real number (ℝ)

ZEROS 

Distinct581
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.345983
Minimum0
Maximum83.4
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:55.833914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8
Q124.3
median34.7
Q344.4
95-th percentile60.7
Maximum83.4
Range83.4
Interquartile range (IQR)20.1

Descriptive statistics

Standard deviation15.978472
Coefficient of variation (CV)0.46522098
Kurtosis-0.21057391
Mean34.345983
Median Absolute Deviation (MAD)10.1
Skewness0.014499648
Sum57289.1
Variance255.31157
MonotonicityNot monotonic
2024-05-11T07:28:56.348599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
33.3 11
 
0.7%
29.4 10
 
0.6%
37.9 10
 
0.6%
37.1 10
 
0.6%
31.6 9
 
0.5%
40.8 9
 
0.5%
41.0 9
 
0.5%
46.5 9
 
0.5%
27.3 9
 
0.5%
Other values (571) 1543
92.5%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 1
 
0.1%
0.2 1
 
0.1%
0.4 2
 
0.1%
0.6 1
 
0.1%
0.7 1
 
0.1%
1.2 1
 
0.1%
2.5 1
 
0.1%
2.6 2
 
0.1%
2.7 1
 
0.1%
ValueCountFrequency (%)
83.4 1
0.1%
82.9 1
0.1%
82.0 1
0.1%
78.7 1
0.1%
77.9 1
0.1%
77.6 1
0.1%
77.0 2
0.1%
76.0 1
0.1%
74.3 1
0.1%
73.7 1
0.1%

16:00~ (%)
Real number (ℝ)

ZEROS 

Distinct594
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.11235
Minimum0
Maximum91.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:56.914954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.835
Q125.8
median36.4
Q346.825
95-th percentile62
Maximum91.8
Range91.8
Interquartile range (IQR)21.025

Descriptive statistics

Standard deviation16.505318
Coefficient of variation (CV)0.45705465
Kurtosis-0.040972667
Mean36.11235
Median Absolute Deviation (MAD)10.6
Skewness0.0054513746
Sum60235.4
Variance272.42551
MonotonicityNot monotonic
2024-05-11T07:28:57.453726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
42.6 11
 
0.7%
34.8 10
 
0.6%
36.4 10
 
0.6%
37.5 10
 
0.6%
36.1 9
 
0.5%
28.6 9
 
0.5%
49.7 8
 
0.5%
54.5 8
 
0.5%
47.2 8
 
0.5%
Other values (584) 1546
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 1
 
0.1%
0.4 3
 
0.2%
0.5 1
 
0.1%
0.8 1
 
0.1%
1.8 1
 
0.1%
2.5 1
 
0.1%
2.9 1
 
0.1%
3.0 2
 
0.1%
3.2 4
 
0.2%
ValueCountFrequency (%)
91.8 1
0.1%
88.7 1
0.1%
86.2 1
0.1%
86.0 1
0.1%
83.6 1
0.1%
83.5 1
0.1%
81.9 1
0.1%
81.1 1
0.1%
80.5 1
0.1%
80.1 1
0.1%

16:30~ (%)
Real number (ℝ)

ZEROS 

Distinct630
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.723201
Minimum0
Maximum95.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:57.972853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.1
Q127.8
median39.4
Q350.2
95-th percentile67.165
Maximum95.8
Range95.8
Interquartile range (IQR)22.4

Descriptive statistics

Standard deviation17.620938
Coefficient of variation (CV)0.45504857
Kurtosis-0.079676689
Mean38.723201
Median Absolute Deviation (MAD)11.25
Skewness-0.018909448
Sum64590.3
Variance310.49744
MonotonicityNot monotonic
2024-05-11T07:28:58.852882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
46.0 10
 
0.6%
51.5 9
 
0.5%
39.5 8
 
0.5%
46.9 8
 
0.5%
45.3 8
 
0.5%
32.1 8
 
0.5%
45.1 8
 
0.5%
51.0 8
 
0.5%
48.3 8
 
0.5%
Other values (620) 1554
93.2%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 2
 
0.1%
0.5 2
 
0.1%
0.6 1
 
0.1%
0.9 1
 
0.1%
1.8 1
 
0.1%
2.2 1
 
0.1%
2.8 1
 
0.1%
2.9 1
 
0.1%
3.1 2
 
0.1%
ValueCountFrequency (%)
95.8 1
0.1%
94.6 1
0.1%
93.5 1
0.1%
89.3 1
0.1%
89.0 1
0.1%
85.2 1
0.1%
84.2 1
0.1%
83.5 1
0.1%
83.3 1
0.1%
82.5 1
0.1%

17:00~ (%)
Real number (ℝ)

ZEROS 

Distinct655
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.677518
Minimum0
Maximum125.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:28:59.356270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.37
Q128.1
median40.9
Q353.2
95-th percentile70.265
Maximum125.8
Range125.8
Interquartile range (IQR)25.1

Descriptive statistics

Standard deviation19.202594
Coefficient of variation (CV)0.47206898
Kurtosis0.42782263
Mean40.677518
Median Absolute Deviation (MAD)12.5
Skewness0.1582628
Sum67850.1
Variance368.73963
MonotonicityNot monotonic
2024-05-11T07:28:59.894745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
30.8 9
 
0.5%
31.8 9
 
0.5%
41.0 9
 
0.5%
53.9 8
 
0.5%
45.5 7
 
0.4%
50.3 7
 
0.4%
47.4 7
 
0.4%
34.6 7
 
0.4%
47.3 7
 
0.4%
Other values (645) 1559
93.5%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 2
 
0.1%
0.3 2
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
2.3 1
 
0.1%
2.5 1
 
0.1%
2.7 2
 
0.1%
2.9 1
 
0.1%
3.0 2
 
0.1%
ValueCountFrequency (%)
125.8 1
0.1%
118.1 1
0.1%
117.4 1
0.1%
114.9 1
0.1%
111.1 1
0.1%
109.8 1
0.1%
105.5 1
0.1%
98.4 1
0.1%
95.6 1
0.1%
95.4 1
0.1%

17:30~ (%)
Real number (ℝ)

ZEROS 

Distinct687
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.934532
Minimum0
Maximum114.1
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:00.549709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.7
Q127.475
median41.5
Q353.9
95-th percentile74.265
Maximum114.1
Range114.1
Interquartile range (IQR)26.425

Descriptive statistics

Standard deviation19.710207
Coefficient of variation (CV)0.4815056
Kurtosis-0.098010928
Mean40.934532
Median Absolute Deviation (MAD)13
Skewness0.13324168
Sum68278.8
Variance388.49224
MonotonicityNot monotonic
2024-05-11T07:29:01.141674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
45.5 11
 
0.7%
41.2 9
 
0.5%
45.0 8
 
0.5%
46.1 8
 
0.5%
45.6 8
 
0.5%
41.6 8
 
0.5%
44.4 7
 
0.4%
36.0 7
 
0.4%
41.5 7
 
0.4%
Other values (677) 1556
93.3%
ValueCountFrequency (%)
0.0 39
2.3%
0.4 2
 
0.1%
0.6 2
 
0.1%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.8 1
 
0.1%
2.3 1
 
0.1%
2.4 2
 
0.1%
2.5 2
 
0.1%
2.8 1
 
0.1%
ValueCountFrequency (%)
114.1 1
0.1%
107.4 1
0.1%
105.3 1
0.1%
101.8 1
0.1%
98.8 1
0.1%
96.6 1
0.1%
95.7 1
0.1%
94.2 1
0.1%
93.2 1
0.1%
92.8 1
0.1%

18:00~ (%)
Real number (ℝ)

ZEROS 

Distinct718
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.825719
Minimum0
Maximum142.6
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:01.669361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.2
Q126.575
median40.2
Q353.825
95-th percentile83.23
Maximum142.6
Range142.6
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation22.782731
Coefficient of variation (CV)0.54470626
Kurtosis1.0448518
Mean41.825719
Median Absolute Deviation (MAD)13.65
Skewness0.71840024
Sum69765.3
Variance519.05284
MonotonicityNot monotonic
2024-05-11T07:29:02.295815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
29.2 10
 
0.6%
43.9 8
 
0.5%
29.3 8
 
0.5%
34.8 8
 
0.5%
44.3 7
 
0.4%
30.1 7
 
0.4%
36.9 7
 
0.4%
33.4 7
 
0.4%
38.9 7
 
0.4%
Other values (708) 1560
93.5%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 1
 
0.1%
0.4 3
 
0.2%
0.6 1
 
0.1%
0.7 1
 
0.1%
2.0 1
 
0.1%
2.1 1
 
0.1%
2.2 2
 
0.1%
2.6 1
 
0.1%
2.7 1
 
0.1%
ValueCountFrequency (%)
142.6 1
0.1%
138.8 1
0.1%
134.7 1
0.1%
133.9 1
0.1%
129.9 1
0.1%
128.1 1
0.1%
126.9 1
0.1%
123.5 1
0.1%
118.6 1
0.1%
116.6 1
0.1%

18:30~ (%)
Real number (ℝ)

ZEROS 

Distinct738
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.68741
Minimum0
Maximum147.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:03.009898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.335
Q124.3
median37.75
Q352.325
95-th percentile95.22
Maximum147.8
Range147.8
Interquartile range (IQR)28.025

Descriptive statistics

Standard deviation26.216386
Coefficient of variation (CV)0.62888017
Kurtosis1.5567558
Mean41.68741
Median Absolute Deviation (MAD)13.85
Skewness1.1144743
Sum69534.6
Variance687.29887
MonotonicityNot monotonic
2024-05-11T07:29:03.582527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
41.3 10
 
0.6%
36.7 8
 
0.5%
28.2 7
 
0.4%
40.7 7
 
0.4%
38.9 7
 
0.4%
38.6 7
 
0.4%
36.8 7
 
0.4%
27.0 7
 
0.4%
24.8 7
 
0.4%
Other values (728) 1562
93.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
0.9 1
 
0.1%
1.2 1
 
0.1%
1.4 2
 
0.1%
1.8 2
 
0.1%
ValueCountFrequency (%)
147.8 1
0.1%
147.0 1
0.1%
146.8 1
0.1%
146.1 1
0.1%
142.7 1
0.1%
140.5 1
0.1%
139.6 1
0.1%
135.6 1
0.1%
134.6 1
0.1%
133.7 1
0.1%

19:00~ (%)
Real number (ℝ)

ZEROS 

Distinct659
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.317926
Minimum0
Maximum124.2
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:04.117581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.27
Q120.2
median31.4
Q344
95-th percentile74.03
Maximum124.2
Range124.2
Interquartile range (IQR)23.8

Descriptive statistics

Standard deviation20.904271
Coefficient of variation (CV)0.60913562
Kurtosis1.7963875
Mean34.317926
Median Absolute Deviation (MAD)11.8
Skewness1.0774061
Sum57242.3
Variance436.98854
MonotonicityNot monotonic
2024-05-11T07:29:04.600750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
38.6 9
 
0.5%
29.7 9
 
0.5%
25.7 8
 
0.5%
23.2 8
 
0.5%
16.4 8
 
0.5%
29.6 8
 
0.5%
30.2 8
 
0.5%
26.4 7
 
0.4%
17.8 7
 
0.4%
Other values (649) 1557
93.3%
ValueCountFrequency (%)
0.0 39
2.3%
0.4 1
 
0.1%
0.5 2
 
0.1%
0.6 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%
2.0 2
 
0.1%
ValueCountFrequency (%)
124.2 1
0.1%
120.6 1
0.1%
120.5 1
0.1%
117.9 1
0.1%
115.4 1
0.1%
115.0 1
0.1%
114.8 1
0.1%
111.7 1
0.1%
111.6 1
0.1%
110.6 1
0.1%

19:30~ (%)
Real number (ℝ)

ZEROS 

Distinct583
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.156235
Minimum0
Maximum91.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:05.217144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.435
Q117.575
median27.05
Q338.2
95-th percentile61.6
Maximum91.8
Range91.8
Interquartile range (IQR)20.625

Descriptive statistics

Standard deviation16.960939
Coefficient of variation (CV)0.58172597
Kurtosis0.86596069
Mean29.156235
Median Absolute Deviation (MAD)10.35
Skewness0.8143511
Sum48632.6
Variance287.67345
MonotonicityNot monotonic
2024-05-11T07:29:05.643376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
28.6 13
 
0.8%
31.6 10
 
0.6%
34.0 10
 
0.6%
25.6 9
 
0.5%
19.6 9
 
0.5%
23.6 9
 
0.5%
21.4 9
 
0.5%
25.5 8
 
0.5%
24.5 8
 
0.5%
Other values (573) 1544
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 3
 
0.2%
0.6 1
 
0.1%
0.7 1
 
0.1%
0.8 2
 
0.1%
1.0 1
 
0.1%
1.2 2
 
0.1%
1.4 1
 
0.1%
1.5 3
 
0.2%
1.6 3
 
0.2%
ValueCountFrequency (%)
91.8 1
0.1%
88.8 1
0.1%
88.7 1
0.1%
88.3 1
0.1%
87.6 1
0.1%
87.0 1
0.1%
86.9 1
0.1%
86.4 1
0.1%
85.8 1
0.1%
85.6 1
0.1%

20:00~ (%)
Real number (ℝ)

ZEROS 

Distinct541
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.026199
Minimum0
Maximum76
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:06.147800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q115.6
median24.4
Q333.9
95-th percentile54.2
Maximum76
Range76
Interquartile range (IQR)18.3

Descriptive statistics

Standard deviation14.734048
Coefficient of variation (CV)0.56612368
Kurtosis0.2783713
Mean26.026199
Median Absolute Deviation (MAD)9.2
Skewness0.62730039
Sum43411.7
Variance217.09216
MonotonicityNot monotonic
2024-05-11T07:29:06.746233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
22.9 11
 
0.7%
33.9 11
 
0.7%
23.4 10
 
0.6%
29.3 10
 
0.6%
16.9 9
 
0.5%
26.9 9
 
0.5%
16.5 8
 
0.5%
29.6 8
 
0.5%
14.2 8
 
0.5%
Other values (531) 1545
92.6%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 1
 
0.1%
0.3 1
 
0.1%
0.4 2
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
1.0 1
 
0.1%
1.1 2
 
0.1%
1.2 1
 
0.1%
1.3 3
 
0.2%
ValueCountFrequency (%)
76.0 1
0.1%
74.5 1
0.1%
74.3 1
0.1%
74.2 1
0.1%
74.0 1
0.1%
73.9 1
0.1%
73.4 1
0.1%
72.7 1
0.1%
71.4 1
0.1%
71.1 1
0.1%

20:30~ (%)
Real number (ℝ)

ZEROS 

Distinct547
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.715348
Minimum0
Maximum86.3
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:07.455043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.835
Q114.7
median24
Q334.4
95-th percentile54.8
Maximum86.3
Range86.3
Interquartile range (IQR)19.7

Descriptive statistics

Standard deviation15.160712
Coefficient of variation (CV)0.58955891
Kurtosis0.39921014
Mean25.715348
Median Absolute Deviation (MAD)9.8
Skewness0.68287151
Sum42893.2
Variance229.8472
MonotonicityNot monotonic
2024-05-11T07:29:07.907349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
15.1 11
 
0.7%
18.2 10
 
0.6%
20.6 10
 
0.6%
31.4 9
 
0.5%
24.3 9
 
0.5%
11.9 9
 
0.5%
10.1 8
 
0.5%
16.5 8
 
0.5%
33.0 8
 
0.5%
Other values (537) 1547
92.7%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 4
 
0.2%
0.3 1
 
0.1%
0.4 2
 
0.1%
0.7 2
 
0.1%
0.9 1
 
0.1%
1.1 1
 
0.1%
1.2 1
 
0.1%
1.3 2
 
0.1%
1.4 2
 
0.1%
ValueCountFrequency (%)
86.3 1
0.1%
79.9 1
0.1%
79.1 1
0.1%
79.0 1
0.1%
78.3 1
0.1%
75.3 1
0.1%
74.2 1
0.1%
73.5 1
0.1%
72.4 1
0.1%
71.3 1
0.1%

21:00~ (%)
Real number (ℝ)

ZEROS 

Distinct578
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.307614
Minimum0
Maximum95.6
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:08.377329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.8
Q115.5
median25.25
Q336.9
95-th percentile57.765
Maximum95.6
Range95.6
Interquartile range (IQR)21.4

Descriptive statistics

Standard deviation16.47795
Coefficient of variation (CV)0.60341962
Kurtosis0.83833672
Mean27.307614
Median Absolute Deviation (MAD)10.6
Skewness0.79575939
Sum45549.1
Variance271.52284
MonotonicityNot monotonic
2024-05-11T07:29:08.922527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
19.9 10
 
0.6%
16.2 9
 
0.5%
24.1 9
 
0.5%
16.8 8
 
0.5%
29.3 8
 
0.5%
32.4 8
 
0.5%
26.5 8
 
0.5%
20.1 8
 
0.5%
15.7 8
 
0.5%
Other values (568) 1553
93.1%
ValueCountFrequency (%)
0.0 39
2.3%
0.2 4
 
0.2%
0.4 2
 
0.1%
0.5 2
 
0.1%
0.9 2
 
0.1%
1.0 1
 
0.1%
1.1 2
 
0.1%
1.2 2
 
0.1%
1.3 1
 
0.1%
1.4 2
 
0.1%
ValueCountFrequency (%)
95.6 1
0.1%
94.7 1
0.1%
94.1 1
0.1%
92.1 1
0.1%
86.7 1
0.1%
84.8 1
0.1%
84.1 1
0.1%
83.8 1
0.1%
83.6 1
0.1%
83.4 1
0.1%

21:30~ (%)
Real number (ℝ)

ZEROS 

Distinct587
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.241487
Minimum0
Maximum127.8
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:09.431940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.735
Q115.175
median25.4
Q338.8
95-th percentile59.965
Maximum127.8
Range127.8
Interquartile range (IQR)23.625

Descriptive statistics

Standard deviation17.803154
Coefficient of variation (CV)0.63039012
Kurtosis2.0748547
Mean28.241487
Median Absolute Deviation (MAD)11.5
Skewness1.019094
Sum47106.8
Variance316.9523
MonotonicityNot monotonic
2024-05-11T07:29:10.046790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
13.5 11
 
0.7%
30.1 9
 
0.5%
20.4 9
 
0.5%
20.8 8
 
0.5%
38.8 8
 
0.5%
35.1 8
 
0.5%
13.6 8
 
0.5%
22.0 8
 
0.5%
16.1 8
 
0.5%
Other values (577) 1552
93.0%
ValueCountFrequency (%)
0.0 39
2.3%
0.3 3
 
0.2%
0.4 2
 
0.1%
0.5 1
 
0.1%
0.6 1
 
0.1%
0.8 1
 
0.1%
0.9 2
 
0.1%
1.0 2
 
0.1%
1.2 3
 
0.2%
1.3 1
 
0.1%
ValueCountFrequency (%)
127.8 1
0.1%
123.7 1
0.1%
119.8 1
0.1%
115.1 1
0.1%
112.4 1
0.1%
101.9 1
0.1%
90.8 1
0.1%
90.1 1
0.1%
88.6 1
0.1%
87.5 1
0.1%

22:00~ (%)
Real number (ℝ)

ZEROS 

Distinct632
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.188249
Minimum0
Maximum128.3
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:10.658445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.935
Q115.7
median26.9
Q341.5
95-th percentile67.13
Maximum128.3
Range128.3
Interquartile range (IQR)25.8

Descriptive statistics

Standard deviation19.829846
Coefficient of variation (CV)0.656873
Kurtosis1.8971431
Mean30.188249
Median Absolute Deviation (MAD)12.2
Skewness1.0952161
Sum50354
Variance393.22279
MonotonicityNot monotonic
2024-05-11T07:29:11.342851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
29.6 11
 
0.7%
28.5 9
 
0.5%
12.4 9
 
0.5%
26.1 8
 
0.5%
22.6 8
 
0.5%
23.2 8
 
0.5%
16.6 8
 
0.5%
14.8 8
 
0.5%
17.5 8
 
0.5%
Other values (622) 1552
93.0%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 2
 
0.1%
0.2 4
 
0.2%
0.5 1
 
0.1%
0.6 2
 
0.1%
0.7 1
 
0.1%
0.9 1
 
0.1%
1.0 2
 
0.1%
1.2 1
 
0.1%
1.3 1
 
0.1%
ValueCountFrequency (%)
128.3 1
0.1%
127.3 1
0.1%
124.8 1
0.1%
124.7 1
0.1%
117.9 1
0.1%
117.2 1
0.1%
105.6 1
0.1%
103.8 1
0.1%
102.4 1
0.1%
100.0 1
0.1%

22:30~ (%)
Real number (ℝ)

ZEROS 

Distinct622
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.027698
Minimum0
Maximum118.4
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:11.914033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.335
Q114.6
median25.4
Q340.425
95-th percentile65.53
Maximum118.4
Range118.4
Interquartile range (IQR)25.825

Descriptive statistics

Standard deviation19.294241
Coefficient of variation (CV)0.66468383
Kurtosis0.96787173
Mean29.027698
Median Absolute Deviation (MAD)12.1
Skewness0.94941346
Sum48418.2
Variance372.26775
MonotonicityNot monotonic
2024-05-11T07:29:12.778280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
16.3 9
 
0.5%
17.6 8
 
0.5%
41.2 8
 
0.5%
24.3 8
 
0.5%
15.1 8
 
0.5%
24.8 8
 
0.5%
18.5 8
 
0.5%
22.3 8
 
0.5%
15.4 8
 
0.5%
Other values (612) 1556
93.3%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 2
 
0.1%
0.2 1
 
0.1%
0.3 2
 
0.1%
0.4 1
 
0.1%
0.6 3
 
0.2%
0.7 1
 
0.1%
0.9 2
 
0.1%
1.0 2
 
0.1%
1.1 2
 
0.1%
ValueCountFrequency (%)
118.4 1
0.1%
105.1 1
0.1%
104.6 1
0.1%
102.8 2
0.1%
97.1 1
0.1%
96.6 1
0.1%
94.8 1
0.1%
94.4 1
0.1%
93.6 1
0.1%
91.9 1
0.1%

23:00~ (%)
Real number (ℝ)

ZEROS 

Distinct596
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.152038
Minimum0
Maximum102.7
Zeros39
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:13.775337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.835
Q112.675
median22.5
Q336.5
95-th percentile59.765
Maximum102.7
Range102.7
Interquartile range (IQR)23.825

Descriptive statistics

Standard deviation18.04089
Coefficient of variation (CV)0.68984643
Kurtosis0.90817905
Mean26.152038
Median Absolute Deviation (MAD)11.4
Skewness0.98047996
Sum43621.6
Variance325.47373
MonotonicityNot monotonic
2024-05-11T07:29:14.541097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.3%
18.6 13
 
0.8%
11.5 11
 
0.7%
11.0 10
 
0.6%
23.6 10
 
0.6%
17.4 9
 
0.5%
10.0 9
 
0.5%
14.6 9
 
0.5%
12.7 8
 
0.5%
8.7 8
 
0.5%
Other values (586) 1542
92.4%
ValueCountFrequency (%)
0.0 39
2.3%
0.1 4
 
0.2%
0.2 1
 
0.1%
0.3 1
 
0.1%
0.4 1
 
0.1%
0.5 2
 
0.1%
0.6 2
 
0.1%
0.7 1
 
0.1%
0.9 2
 
0.1%
1.0 3
 
0.2%
ValueCountFrequency (%)
102.7 1
0.1%
93.6 1
0.1%
93.0 1
0.1%
92.4 1
0.1%
91.0 1
0.1%
90.5 1
0.1%
89.7 1
0.1%
89.5 1
0.1%
88.3 1
0.1%
87.9 1
0.1%

23:30~ (%)
Real number (ℝ)

ZEROS 

Distinct509
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.71241
Minimum0
Maximum136
Zeros51
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:15.399796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q17.9
median16
Q327.5
95-th percentile49.665
Maximum136
Range136
Interquartile range (IQR)19.6

Descriptive statistics

Standard deviation16.034717
Coefficient of variation (CV)0.81343258
Kurtosis4.0109081
Mean19.71241
Median Absolute Deviation (MAD)9.2
Skewness1.5740215
Sum32880.3
Variance257.11214
MonotonicityNot monotonic
2024-05-11T07:29:16.262337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
 
3.1%
8.8 12
 
0.7%
4.9 11
 
0.7%
6.5 11
 
0.7%
13.1 11
 
0.7%
5.4 10
 
0.6%
22.5 10
 
0.6%
13.2 10
 
0.6%
6.8 10
 
0.6%
15.2 9
 
0.5%
Other values (499) 1523
91.3%
ValueCountFrequency (%)
0.0 51
3.1%
0.1 3
 
0.2%
0.2 4
 
0.2%
0.3 1
 
0.1%
0.4 2
 
0.1%
0.5 3
 
0.2%
0.6 3
 
0.2%
0.7 3
 
0.2%
0.9 3
 
0.2%
1.0 3
 
0.2%
ValueCountFrequency (%)
136.0 1
0.1%
102.7 1
0.1%
95.6 1
0.1%
91.1 1
0.1%
91.0 1
0.1%
90.8 1
0.1%
90.1 1
0.1%
88.4 1
0.1%
88.1 1
0.1%
87.4 1
0.1%

24:00~ (%)
Real number (ℝ)

MISSING  ZEROS 

Distinct241
Distinct (%)43.3%
Missing1112
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean12.015647
Minimum0
Maximum43.2
Zeros20
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:17.055970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q15.2
median10.5
Q316.725
95-th percentile28.15
Maximum43.2
Range43.2
Interquartile range (IQR)11.525

Descriptive statistics

Standard deviation8.6997829
Coefficient of variation (CV)0.7240378
Kurtosis0.82895946
Mean12.015647
Median Absolute Deviation (MAD)5.6
Skewness0.96657248
Sum6680.7
Variance75.686223
MonotonicityNot monotonic
2024-05-11T07:29:17.642045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
1.2%
9.5 8
 
0.5%
15.4 7
 
0.4%
5.5 6
 
0.4%
10.9 6
 
0.4%
8.9 6
 
0.4%
0.1 6
 
0.4%
6.1 5
 
0.3%
17.4 5
 
0.3%
4.1 5
 
0.3%
Other values (231) 482
28.9%
(Missing) 1112
66.7%
ValueCountFrequency (%)
0.0 20
1.2%
0.1 6
 
0.4%
0.2 3
 
0.2%
0.3 2
 
0.1%
0.6 1
 
0.1%
1.1 2
 
0.1%
1.2 2
 
0.1%
1.3 4
 
0.2%
1.4 2
 
0.1%
1.7 1
 
0.1%
ValueCountFrequency (%)
43.2 1
0.1%
42.8 1
0.1%
40.4 1
0.1%
38.4 1
0.1%
37.6 1
0.1%
37.4 2
0.1%
37.3 2
0.1%
37.1 1
0.1%
37.0 1
0.1%
36.7 1
0.1%

24:30~ (%)
Real number (ℝ)

MISSING  ZEROS 

Distinct183
Distinct (%)32.9%
Missing1112
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean7.3122302
Minimum0
Maximum31.9
Zeros46
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-05-11T07:29:18.266074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.7
median5.5
Q310.9
95-th percentile20.4
Maximum31.9
Range31.9
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation6.3467345
Coefficient of variation (CV)0.86796153
Kurtosis1.2123265
Mean7.3122302
Median Absolute Deviation (MAD)3.6
Skewness1.199637
Sum4065.6
Variance40.281039
MonotonicityNot monotonic
2024-05-11T07:29:19.019044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 46
 
2.8%
5.5 13
 
0.8%
4.1 11
 
0.7%
3.3 8
 
0.5%
3.7 8
 
0.5%
2.7 8
 
0.5%
1.0 7
 
0.4%
6.1 7
 
0.4%
5.7 7
 
0.4%
2.3 7
 
0.4%
Other values (173) 434
 
26.0%
(Missing) 1112
66.7%
ValueCountFrequency (%)
0.0 46
2.8%
0.1 5
 
0.3%
0.2 3
 
0.2%
0.3 3
 
0.2%
0.4 5
 
0.3%
0.6 3
 
0.2%
0.7 2
 
0.1%
0.8 2
 
0.1%
0.9 2
 
0.1%
1.0 7
 
0.4%
ValueCountFrequency (%)
31.9 1
0.1%
30.2 1
0.1%
30.1 1
0.1%
29.7 1
0.1%
28.7 1
0.1%
28.2 1
0.1%
26.5 1
0.1%
25.7 1
0.1%
25.3 2
0.1%
24.6 2
0.1%

Sample

요일호선역번호역명방향5:30~ (%)6:00~ (%)6:30~ (%)7:00~ (%)7:30~ (%)8:00~ (%)8:30~ (%)9:00~ (%)9:30~ (%)10:00~ (%)10:30~ (%)11:00~ (%)11:30~ (%)12:00~ (%)12:30~ (%)13:00~ (%)13:30~ (%)14:00~ (%)14:30~ (%)15:00~ (%)15:30~ (%)16:00~ (%)16:30~ (%)17:00~ (%)17:30~ (%)18:00~ (%)18:30~ (%)19:00~ (%)19:30~ (%)20:00~ (%)20:30~ (%)21:00~ (%)21:30~ (%)22:00~ (%)22:30~ (%)23:00~ (%)23:30~ (%)24:00~ (%)24:30~ (%)
0평일1150서울역상선8.714.825.228.955.567.788.453.558.437.330.647.836.839.838.439.338.432.433.233.326.528.632.332.929.342.348.937.025.518.718.221.621.120.917.613.210.04.80.0
1평일1151시청상선7.812.520.624.740.751.764.949.147.836.027.441.837.838.037.137.736.634.033.333.629.429.933.735.632.251.255.445.928.822.221.924.527.525.722.116.212.29.11.6
2평일1152종각상선6.39.715.917.826.134.339.935.437.832.124.938.534.037.135.035.937.534.935.237.632.632.836.141.237.465.667.854.233.530.128.635.939.841.232.823.116.111.02.0
3평일1153종로3가상선6.39.016.117.727.537.546.036.935.433.227.835.236.640.339.539.542.038.839.642.340.036.842.946.943.768.475.662.738.833.932.339.345.246.339.524.818.312.52.3
4평일1154종로5가상선5.87.612.714.622.029.133.027.429.527.723.930.732.034.137.236.338.437.438.540.940.235.943.948.846.173.680.265.641.736.433.442.842.853.539.025.618.712.72.2
5평일1155동대문상선8.57.512.713.119.727.230.325.426.725.723.227.831.732.236.835.638.337.539.041.441.137.446.153.047.869.182.265.543.035.833.340.044.453.541.130.218.915.72.3
6평일1156신설동상선7.69.38.510.713.019.922.119.228.423.921.927.030.726.234.031.432.333.935.135.237.132.939.947.860.755.277.258.541.330.633.134.250.950.643.226.317.511.50.0
7평일1157제기동상선7.68.68.69.911.516.818.916.223.319.717.320.624.120.226.324.724.927.629.430.934.131.338.747.258.756.076.259.441.429.732.033.348.248.440.625.116.710.111.7
8평일1158청량리상선7.26.86.87.810.113.016.413.813.419.612.916.221.115.521.321.017.227.920.031.725.731.728.549.644.545.374.351.338.726.429.124.246.934.333.131.114.18.43.6
9평일1159동묘앞상선7.79.79.912.016.324.528.222.022.024.621.525.429.429.933.932.434.534.436.437.938.034.643.841.349.463.877.060.842.231.330.937.040.249.537.627.917.813.01.2
요일호선역번호역명방향5:30~ (%)6:00~ (%)6:30~ (%)7:00~ (%)7:30~ (%)8:00~ (%)8:30~ (%)9:00~ (%)9:30~ (%)10:00~ (%)10:30~ (%)11:00~ (%)11:30~ (%)12:00~ (%)12:30~ (%)13:00~ (%)13:30~ (%)14:00~ (%)14:30~ (%)15:00~ (%)15:30~ (%)16:00~ (%)16:30~ (%)17:00~ (%)17:30~ (%)18:00~ (%)18:30~ (%)19:00~ (%)19:30~ (%)20:00~ (%)20:30~ (%)21:00~ (%)21:30~ (%)22:00~ (%)22:30~ (%)23:00~ (%)23:30~ (%)24:00~ (%)24:30~ (%)
1658일요일신정지선247도림천내선7.48.88.76.86.49.58.69.213.612.212.111.615.715.017.517.524.623.324.624.832.130.729.231.336.932.638.931.328.226.720.825.526.426.130.824.017.9<NA><NA>
1659일요일신정지선248양천구청내선7.18.58.16.26.18.97.99.012.111.111.410.414.013.915.016.121.320.020.921.326.925.724.325.530.427.431.725.723.722.017.021.021.721.324.919.013.4<NA><NA>
1660일요일신정지선249신정네거리내선6.97.57.45.25.87.47.18.811.410.010.49.212.612.913.513.518.016.216.416.020.419.218.817.921.719.820.917.018.214.311.914.013.314.217.811.59.2<NA><NA>
1661일요일신정지선260까치산내선0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0<NA><NA>
1662일요일신정지선234신도림내선7.69.58.86.86.49.58.610.512.512.612.013.014.915.217.217.324.823.624.624.932.430.930.131.438.337.433.230.929.027.421.425.926.626.431.324.518.1<NA><NA>
1663일요일신정지선247도림천외선12.112.715.210.314.417.922.326.634.233.430.731.431.630.232.132.229.229.325.726.123.724.624.624.119.717.116.915.511.814.19.76.87.66.95.87.22.6<NA><NA>
1664일요일신정지선248양천구청외선12.212.415.210.214.317.622.426.333.833.130.631.131.229.831.932.029.129.125.426.123.524.524.424.019.517.016.815.612.014.09.76.87.66.95.67.22.7<NA><NA>
1665일요일신정지선249신정네거리외선11.110.113.07.712.215.917.324.128.727.925.528.625.524.925.725.824.024.221.523.221.221.921.319.915.515.714.712.610.313.18.36.56.76.35.47.22.8<NA><NA>
1666일요일신정지선260까치산외선7.57.37.17.39.411.913.016.718.720.418.321.419.318.818.518.919.019.216.719.917.119.317.317.113.512.912.410.98.711.57.45.35.44.84.16.12.9<NA><NA>
1667일요일신정지선234신도림외선0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0<NA><NA>