Overview

Dataset statistics

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

Variable types

DateTime1
Categorical2
Numeric22
Text1

Dataset

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

Alerts

Unnamed: 24 has 807 (8.1%) zerosZeros

Reproduction

Analysis started2024-04-29 16:32:26.703349
Analysis finished2024-04-29 16:32:27.217760
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-01-01 00:00:00
Maximum2018-07-02 00:00:00
2024-04-30T01:32:27.273321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:32:27.392462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Unnamed: 1
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
7호선
1858 
2호선
1824 
5호선
1807 
6호선
1330 
3호선
1204 
Other values (3)
1977 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
7호선 1858
18.6%
2호선 1824
18.2%
5호선 1807
18.1%
6호선 1330
13.3%
3호선 1204
12.0%
4호선 987
9.9%
8호선 621
 
6.2%
1호선 369
 
3.7%

Length

2024-04-30T01:32:27.536486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:32:27.647459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7호선 1858
18.6%
2호선 1824
18.2%
5호선 1807
18.1%
6호선 1330
13.3%
3호선 1204
12.0%
4호선 987
9.9%
8호선 621
 
6.2%
1호선 369
 
3.7%

Unnamed: 2
Real number (ℝ)

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1619.0075
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:27.781439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1316
median2528
Q32648
95-th percentile2813.05
Maximum2827
Range2677
Interquartile range (IQR)2332

Descriptive statistics

Standard deviation1177.1238
Coefficient of variation (CV)0.72706505
Kurtosis-1.915033
Mean1619.0075
Median Absolute Deviation (MAD)283
Skewness-0.24325263
Sum16190075
Variance1385620.4
MonotonicityNot monotonic
2024-04-30T01:32:27.907699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313 56
 
0.6%
237 53
 
0.5%
2629 53
 
0.5%
432 50
 
0.5%
418 49
 
0.5%
2518 49
 
0.5%
2754 49
 
0.5%
2628 48
 
0.5%
429 48
 
0.5%
2760 47
 
0.5%
Other values (265) 9498
95.0%
ValueCountFrequency (%)
150 38
0.4%
151 47
0.5%
152 32
0.3%
153 38
0.4%
154 39
0.4%
155 39
0.4%
156 21
0.2%
157 39
0.4%
158 39
0.4%
159 37
0.4%
ValueCountFrequency (%)
2827 33
0.3%
2826 35
0.4%
2825 40
0.4%
2824 30
0.3%
2823 36
0.4%
2822 30
0.3%
2821 35
0.4%
2820 39
0.4%
2819 32
0.3%
2818 42
0.4%
Distinct242
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:32:28.122705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.3134
Min length2

Characters and Unicode

Total characters43134
Distinct characters236
Distinct categories5 ?
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 row대림(구로구청)
2nd row남부터미널(예술의전당)
3rd row미아사거리
4th row삼산체육관
5th row사가정
ValueCountFrequency (%)
동대문역사문화공원 108
 
1.1%
종로3가 105
 
1.1%
삼각지 92
 
0.9%
천호(풍납토성 86
 
0.9%
군자(능동 86
 
0.9%
불광 83
 
0.8%
시청 82
 
0.8%
왕십리(성동구청 80
 
0.8%
잠실(송파구청 77
 
0.8%
서울역 77
 
0.8%
Other values (232) 9124
91.2%
2024-04-30T01:32:28.470464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2120
 
4.9%
) 2120
 
4.9%
1824
 
4.2%
1731
 
4.0%
1246
 
2.9%
1127
 
2.6%
930
 
2.2%
768
 
1.8%
743
 
1.7%
743
 
1.7%
Other values (226) 29782
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38508
89.3%
Open Punctuation 2120
 
4.9%
Close Punctuation 2120
 
4.9%
Decimal Number 284
 
0.7%
Other Punctuation 102
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1824
 
4.7%
1731
 
4.5%
1246
 
3.2%
1127
 
2.9%
930
 
2.4%
768
 
2.0%
743
 
1.9%
743
 
1.9%
703
 
1.8%
605
 
1.6%
Other values (220) 28088
72.9%
Decimal Number
ValueCountFrequency (%)
3 176
62.0%
4 69
 
24.3%
5 39
 
13.7%
Open Punctuation
ValueCountFrequency (%)
( 2120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38508
89.3%
Common 4626
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1824
 
4.7%
1731
 
4.5%
1246
 
3.2%
1127
 
2.9%
930
 
2.4%
768
 
2.0%
743
 
1.9%
743
 
1.9%
703
 
1.8%
605
 
1.6%
Other values (220) 28088
72.9%
Common
ValueCountFrequency (%)
( 2120
45.8%
) 2120
45.8%
3 176
 
3.8%
. 102
 
2.2%
4 69
 
1.5%
5 39
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38508
89.3%
ASCII 4626
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2120
45.8%
) 2120
45.8%
3 176
 
3.8%
. 102
 
2.2%
4 69
 
1.5%
5 39
 
0.8%
Hangul
ValueCountFrequency (%)
1824
 
4.7%
1731
 
4.5%
1246
 
3.2%
1127
 
2.9%
930
 
2.4%
768
 
2.0%
743
 
1.9%
743
 
1.9%
703
 
1.8%
605
 
1.6%
Other values (220) 28088
72.9%

Unnamed: 4
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승차
5006 
하차
4994 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승차 5006
50.1%
하차 4994
49.9%

Length

2024-04-30T01:32:28.592845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:32:28.668034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 5006
50.1%
하차 4994
49.9%

Unnamed: 5
Real number (ℝ)

Distinct807
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.3009
Minimum0
Maximum3112
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:28.758267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q135
median73
Q3171.25
95-th percentile454
Maximum3112
Range3112
Interquartile range (IQR)136.25

Descriptive statistics

Standard deviation204.94492
Coefficient of variation (CV)1.4504149
Kurtosis33.125011
Mean141.3009
Median Absolute Deviation (MAD)49
Skewness4.6417451
Sum1413009
Variance42002.422
MonotonicityNot monotonic
2024-04-30T01:32:28.876209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 105
 
1.1%
34 103
 
1.0%
46 101
 
1.0%
39 97
 
1.0%
30 97
 
1.0%
27 96
 
1.0%
33 95
 
0.9%
37 94
 
0.9%
11 93
 
0.9%
42 93
 
0.9%
Other values (797) 9026
90.3%
ValueCountFrequency (%)
0 15
 
0.1%
1 30
0.3%
2 35
0.4%
3 39
0.4%
4 25
 
0.2%
5 44
0.4%
6 31
0.3%
7 49
0.5%
8 53
0.5%
9 67
0.7%
ValueCountFrequency (%)
3112 1
< 0.1%
2947 1
< 0.1%
2635 1
< 0.1%
2395 1
< 0.1%
2319 1
< 0.1%
2231 1
< 0.1%
2196 1
< 0.1%
2159 1
< 0.1%
2060 1
< 0.1%
1938 1
< 0.1%

Unnamed: 6
Real number (ℝ)

Distinct1478
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.7018
Minimum5
Maximum3645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:28.997136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile56
Q1141.75
median263
Q3489
95-th percentile1149.05
Maximum3645
Range3640
Interquartile range (IQR)347.25

Descriptive statistics

Standard deviation394.77182
Coefficient of variation (CV)1.0104172
Kurtosis9.0710712
Mean390.7018
Median Absolute Deviation (MAD)148
Skewness2.5696546
Sum3907018
Variance155844.79
MonotonicityNot monotonic
2024-04-30T01:32:29.121863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
214 35
 
0.4%
80 35
 
0.4%
147 34
 
0.3%
177 31
 
0.3%
82 31
 
0.3%
184 31
 
0.3%
120 31
 
0.3%
116 31
 
0.3%
152 31
 
0.3%
108 30
 
0.3%
Other values (1468) 9680
96.8%
ValueCountFrequency (%)
5 1
 
< 0.1%
6 1
 
< 0.1%
7 2
< 0.1%
8 2
< 0.1%
9 3
< 0.1%
10 1
 
< 0.1%
11 4
< 0.1%
12 2
< 0.1%
13 3
< 0.1%
14 3
< 0.1%
ValueCountFrequency (%)
3645 1
< 0.1%
3621 1
< 0.1%
3472 1
< 0.1%
3456 1
< 0.1%
3392 1
< 0.1%
3028 1
< 0.1%
2947 1
< 0.1%
2855 1
< 0.1%
2809 1
< 0.1%
2754 1
< 0.1%

Unnamed: 7
Real number (ℝ)

Distinct2855
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987.7256
Minimum6
Maximum11238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:29.237693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile79
Q1236.75
median520.5
Q31233
95-th percentile3394.05
Maximum11238
Range11232
Interquartile range (IQR)996.25

Descriptive statistics

Standard deviation1247.1672
Coefficient of variation (CV)1.2626657
Kurtosis9.9859968
Mean987.7256
Median Absolute Deviation (MAD)356
Skewness2.7780218
Sum9877256
Variance1555426.1
MonotonicityNot monotonic
2024-04-30T01:32:29.357737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146 30
 
0.3%
141 25
 
0.2%
218 22
 
0.2%
241 21
 
0.2%
167 21
 
0.2%
207 21
 
0.2%
252 20
 
0.2%
220 20
 
0.2%
219 20
 
0.2%
361 19
 
0.2%
Other values (2845) 9781
97.8%
ValueCountFrequency (%)
6 1
 
< 0.1%
9 1
 
< 0.1%
10 2
< 0.1%
11 3
< 0.1%
12 2
< 0.1%
13 4
< 0.1%
15 2
< 0.1%
16 2
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
11238 1
< 0.1%
11097 1
< 0.1%
11020 1
< 0.1%
10758 1
< 0.1%
10724 1
< 0.1%
10170 1
< 0.1%
9810 1
< 0.1%
9651 1
< 0.1%
9131 1
< 0.1%
8902 1
< 0.1%

Unnamed: 8
Real number (ℝ)

Distinct3734
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1720.1387
Minimum9
Maximum20513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:29.469069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile128
Q1418
median971
Q31967
95-th percentile5983.45
Maximum20513
Range20504
Interquartile range (IQR)1549

Descriptive statistics

Standard deviation2371.3327
Coefficient of variation (CV)1.3785706
Kurtosis17.156673
Mean1720.1387
Median Absolute Deviation (MAD)645
Skewness3.6305783
Sum17201387
Variance5623218.8
MonotonicityNot monotonic
2024-04-30T01:32:29.580128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366 15
 
0.1%
383 14
 
0.1%
536 14
 
0.1%
277 14
 
0.1%
189 13
 
0.1%
337 13
 
0.1%
98 13
 
0.1%
241 13
 
0.1%
340 13
 
0.1%
357 12
 
0.1%
Other values (3724) 9866
98.7%
ValueCountFrequency (%)
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 2
< 0.1%
14 2
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
19 2
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
ValueCountFrequency (%)
20513 1
< 0.1%
20500 1
< 0.1%
20487 1
< 0.1%
20443 1
< 0.1%
20245 1
< 0.1%
20097 1
< 0.1%
20048 1
< 0.1%
19965 1
< 0.1%
19766 1
< 0.1%
19523 1
< 0.1%

Unnamed: 9
Real number (ℝ)

Distinct2865
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1123.3386
Minimum12
Maximum17071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:29.708790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile148.95
Q1387.75
median696
Q31287.5
95-th percentile3604.1
Maximum17071
Range17059
Interquartile range (IQR)899.75

Descriptive statistics

Standard deviation1440.383
Coefficient of variation (CV)1.282234
Kurtosis27.049639
Mean1123.3386
Median Absolute Deviation (MAD)384
Skewness4.3189528
Sum11233386
Variance2074703
MonotonicityNot monotonic
2024-04-30T01:32:29.834605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
289 19
 
0.2%
434 17
 
0.2%
392 17
 
0.2%
322 17
 
0.2%
250 17
 
0.2%
555 16
 
0.2%
317 16
 
0.2%
598 16
 
0.2%
416 16
 
0.2%
241 15
 
0.1%
Other values (2855) 9834
98.3%
ValueCountFrequency (%)
12 1
 
< 0.1%
16 1
 
< 0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
26 1
 
< 0.1%
27 2
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
31 4
< 0.1%
32 2
< 0.1%
ValueCountFrequency (%)
17071 1
< 0.1%
16397 1
< 0.1%
16172 1
< 0.1%
15780 1
< 0.1%
15401 1
< 0.1%
15391 1
< 0.1%
15283 1
< 0.1%
15212 1
< 0.1%
15153 1
< 0.1%
14911 1
< 0.1%

Unnamed: 10
Real number (ℝ)

Distinct2285
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774.4003
Minimum17
Maximum7573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:29.954439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile134.95
Q1313
median556
Q3921
95-th percentile2380.05
Maximum7573
Range7556
Interquartile range (IQR)608

Descriptive statistics

Standard deviation756.08575
Coefficient of variation (CV)0.97635002
Kurtosis12.017983
Mean774.4003
Median Absolute Deviation (MAD)281
Skewness2.8241963
Sum7744003
Variance571665.66
MonotonicityNot monotonic
2024-04-30T01:32:30.430950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340 23
 
0.2%
184 20
 
0.2%
224 19
 
0.2%
632 19
 
0.2%
357 19
 
0.2%
268 18
 
0.2%
288 18
 
0.2%
262 18
 
0.2%
261 18
 
0.2%
279 17
 
0.2%
Other values (2275) 9811
98.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 2
< 0.1%
29 1
 
< 0.1%
30 1
 
< 0.1%
31 3
< 0.1%
33 3
< 0.1%
34 4
< 0.1%
ValueCountFrequency (%)
7573 1
< 0.1%
7390 1
< 0.1%
7360 1
< 0.1%
7315 1
< 0.1%
7151 1
< 0.1%
7062 1
< 0.1%
6900 1
< 0.1%
6834 1
< 0.1%
6830 1
< 0.1%
6655 1
< 0.1%

Unnamed: 11
Real number (ℝ)

Distinct2252
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean759.0125
Minimum12
Maximum6711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:30.542243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile130
Q1312
median547
Q3928.25
95-th percentile2274
Maximum6711
Range6699
Interquartile range (IQR)616.25

Descriptive statistics

Standard deviation716.18119
Coefficient of variation (CV)0.9435697
Kurtosis9.4758239
Mean759.0125
Median Absolute Deviation (MAD)273
Skewness2.5783731
Sum7590125
Variance512915.5
MonotonicityNot monotonic
2024-04-30T01:32:30.671890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
490 24
 
0.2%
254 24
 
0.2%
244 23
 
0.2%
498 22
 
0.2%
303 21
 
0.2%
233 20
 
0.2%
329 20
 
0.2%
237 20
 
0.2%
213 20
 
0.2%
422 19
 
0.2%
Other values (2242) 9787
97.9%
ValueCountFrequency (%)
12 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
24 1
 
< 0.1%
26 1
 
< 0.1%
27 2
< 0.1%
28 2
< 0.1%
29 2
< 0.1%
30 1
 
< 0.1%
31 3
< 0.1%
ValueCountFrequency (%)
6711 1
< 0.1%
6634 1
< 0.1%
6488 1
< 0.1%
6226 1
< 0.1%
6217 1
< 0.1%
6064 1
< 0.1%
6043 1
< 0.1%
5758 1
< 0.1%
5638 1
< 0.1%
5584 1
< 0.1%

Unnamed: 12
Real number (ℝ)

Distinct2331
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean810.2803
Minimum16
Maximum9688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:30.808460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile141
Q1341
median590
Q3992
95-th percentile2299.25
Maximum9688
Range9672
Interquartile range (IQR)651

Descriptive statistics

Standard deviation754.05416
Coefficient of variation (CV)0.93060903
Kurtosis13.165589
Mean810.2803
Median Absolute Deviation (MAD)292
Skewness2.8082957
Sum8102803
Variance568597.68
MonotonicityNot monotonic
2024-04-30T01:32:30.944332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378 22
 
0.2%
223 19
 
0.2%
351 19
 
0.2%
269 19
 
0.2%
215 19
 
0.2%
593 18
 
0.2%
252 18
 
0.2%
551 18
 
0.2%
214 18
 
0.2%
284 18
 
0.2%
Other values (2321) 9812
98.1%
ValueCountFrequency (%)
16 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
28 2
< 0.1%
31 1
< 0.1%
32 1
< 0.1%
33 1
< 0.1%
35 2
< 0.1%
37 2
< 0.1%
ValueCountFrequency (%)
9688 1
< 0.1%
9512 1
< 0.1%
7795 1
< 0.1%
7448 1
< 0.1%
7231 1
< 0.1%
7153 1
< 0.1%
6804 1
< 0.1%
6563 1
< 0.1%
6275 1
< 0.1%
6045 1
< 0.1%

Unnamed: 13
Real number (ℝ)

Distinct2476
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean884.2772
Minimum19
Maximum11398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:31.054203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile151
Q1369
median638
Q31061
95-th percentile2549.05
Maximum11398
Range11379
Interquartile range (IQR)692

Descriptive statistics

Standard deviation850.4158
Coefficient of variation (CV)0.96170725
Kurtosis16.639382
Mean884.2772
Median Absolute Deviation (MAD)314
Skewness3.1095637
Sum8842772
Variance723207.03
MonotonicityNot monotonic
2024-04-30T01:32:31.168308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341 20
 
0.2%
432 19
 
0.2%
307 18
 
0.2%
371 18
 
0.2%
459 18
 
0.2%
273 17
 
0.2%
394 17
 
0.2%
356 17
 
0.2%
294 16
 
0.2%
366 16
 
0.2%
Other values (2466) 9824
98.2%
ValueCountFrequency (%)
19 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
26 2
< 0.1%
28 3
< 0.1%
29 1
 
< 0.1%
31 4
< 0.1%
32 3
< 0.1%
34 2
< 0.1%
ValueCountFrequency (%)
11398 1
< 0.1%
11350 1
< 0.1%
9480 1
< 0.1%
9276 1
< 0.1%
8677 1
< 0.1%
8351 1
< 0.1%
8102 1
< 0.1%
7737 1
< 0.1%
7398 1
< 0.1%
7377 1
< 0.1%

Unnamed: 14
Real number (ℝ)

Distinct2466
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean872.6455
Minimum14
Maximum11629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:31.299801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile150
Q1363
median613
Q31049
95-th percentile2487.05
Maximum11629
Range11615
Interquartile range (IQR)686

Descriptive statistics

Standard deviation839.0505
Coefficient of variation (CV)0.96150212
Kurtosis15.170024
Mean872.6455
Median Absolute Deviation (MAD)302.5
Skewness2.9902608
Sum8726455
Variance704005.74
MonotonicityNot monotonic
2024-04-30T01:32:31.423885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319 22
 
0.2%
481 20
 
0.2%
294 19
 
0.2%
284 18
 
0.2%
331 18
 
0.2%
457 18
 
0.2%
358 18
 
0.2%
438 18
 
0.2%
292 17
 
0.2%
389 17
 
0.2%
Other values (2456) 9815
98.2%
ValueCountFrequency (%)
14 1
 
< 0.1%
20 3
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
27 3
< 0.1%
28 1
 
< 0.1%
31 1
 
< 0.1%
32 2
< 0.1%
33 3
< 0.1%
ValueCountFrequency (%)
11629 1
< 0.1%
10887 1
< 0.1%
8823 1
< 0.1%
8218 1
< 0.1%
7955 1
< 0.1%
7595 1
< 0.1%
7523 1
< 0.1%
6855 1
< 0.1%
6780 1
< 0.1%
6650 1
< 0.1%

Unnamed: 15
Real number (ℝ)

Distinct2547
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean924.9826
Minimum25
Maximum11697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:31.531908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile158
Q1383
median651
Q31122
95-th percentile2647.15
Maximum11697
Range11672
Interquartile range (IQR)739

Descriptive statistics

Standard deviation892.86651
Coefficient of variation (CV)0.96527925
Kurtosis13.481371
Mean924.9826
Median Absolute Deviation (MAD)322
Skewness2.9227414
Sum9249826
Variance797210.6
MonotonicityNot monotonic
2024-04-30T01:32:31.642745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 19
 
0.2%
478 18
 
0.2%
529 18
 
0.2%
389 18
 
0.2%
317 17
 
0.2%
290 17
 
0.2%
387 17
 
0.2%
444 17
 
0.2%
286 17
 
0.2%
357 17
 
0.2%
Other values (2537) 9825
98.2%
ValueCountFrequency (%)
25 1
< 0.1%
26 1
< 0.1%
28 1
< 0.1%
29 2
< 0.1%
30 1
< 0.1%
31 2
< 0.1%
32 2
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
40 1
< 0.1%
ValueCountFrequency (%)
11697 1
< 0.1%
10534 1
< 0.1%
8564 1
< 0.1%
8522 1
< 0.1%
7561 1
< 0.1%
7291 1
< 0.1%
7159 1
< 0.1%
7154 1
< 0.1%
7124 1
< 0.1%
7065 1
< 0.1%

Unnamed: 16
Real number (ℝ)

Distinct2731
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1030.9887
Minimum19
Maximum11252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:31.773230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile179
Q1434
median743
Q31250
95-th percentile2944
Maximum11252
Range11233
Interquartile range (IQR)816

Descriptive statistics

Standard deviation992.61494
Coefficient of variation (CV)0.96277965
Kurtosis13.046452
Mean1030.9887
Median Absolute Deviation (MAD)363
Skewness2.9427989
Sum10309887
Variance985284.42
MonotonicityNot monotonic
2024-04-30T01:32:31.892291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398 18
 
0.2%
449 17
 
0.2%
383 17
 
0.2%
513 17
 
0.2%
388 16
 
0.2%
399 16
 
0.2%
420 16
 
0.2%
332 16
 
0.2%
786 15
 
0.1%
481 15
 
0.1%
Other values (2721) 9837
98.4%
ValueCountFrequency (%)
19 2
< 0.1%
21 1
 
< 0.1%
25 1
 
< 0.1%
29 1
 
< 0.1%
30 2
< 0.1%
32 2
< 0.1%
34 1
 
< 0.1%
35 2
< 0.1%
36 4
< 0.1%
37 1
 
< 0.1%
ValueCountFrequency (%)
11252 1
< 0.1%
11026 1
< 0.1%
10908 1
< 0.1%
8712 1
< 0.1%
8629 1
< 0.1%
8455 1
< 0.1%
8142 1
< 0.1%
8116 1
< 0.1%
8099 1
< 0.1%
8010 1
< 0.1%

Unnamed: 17
Real number (ℝ)

Distinct3048
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1232.5543
Minimum20
Maximum12222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:32.007123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile198.95
Q1494
median873
Q31445.25
95-th percentile3779.1
Maximum12222
Range12202
Interquartile range (IQR)951.25

Descriptive statistics

Standard deviation1228.0229
Coefficient of variation (CV)0.99632361
Kurtosis10.262957
Mean1232.5543
Median Absolute Deviation (MAD)432.5
Skewness2.7684294
Sum12325543
Variance1508040.4
MonotonicityNot monotonic
2024-04-30T01:32:32.134291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
478 17
 
0.2%
473 15
 
0.1%
491 15
 
0.1%
255 15
 
0.1%
440 15
 
0.1%
667 15
 
0.1%
451 14
 
0.1%
438 14
 
0.1%
841 14
 
0.1%
476 14
 
0.1%
Other values (3038) 9852
98.5%
ValueCountFrequency (%)
20 1
< 0.1%
27 1
< 0.1%
29 1
< 0.1%
30 2
< 0.1%
35 1
< 0.1%
36 2
< 0.1%
39 2
< 0.1%
40 1
< 0.1%
42 1
< 0.1%
43 1
< 0.1%
ValueCountFrequency (%)
12222 1
< 0.1%
10936 1
< 0.1%
10351 1
< 0.1%
10242 1
< 0.1%
10023 1
< 0.1%
10012 1
< 0.1%
9998 1
< 0.1%
9549 1
< 0.1%
9412 1
< 0.1%
9226 1
< 0.1%

Unnamed: 18
Real number (ℝ)

Distinct3760
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1735.9437
Minimum19
Maximum17545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:32.252990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile202
Q1573
median1096
Q31951.25
95-th percentile5786.15
Maximum17545
Range17526
Interquartile range (IQR)1378.25

Descriptive statistics

Standard deviation2093.4233
Coefficient of variation (CV)1.2059281
Kurtosis13.607699
Mean1735.9437
Median Absolute Deviation (MAD)605.5
Skewness3.2542346
Sum17359437
Variance4382421.3
MonotonicityNot monotonic
2024-04-30T01:32:32.367018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
682 14
 
0.1%
822 13
 
0.1%
571 12
 
0.1%
594 12
 
0.1%
670 12
 
0.1%
782 12
 
0.1%
598 12
 
0.1%
265 12
 
0.1%
256 12
 
0.1%
536 12
 
0.1%
Other values (3750) 9877
98.8%
ValueCountFrequency (%)
19 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
33 1
< 0.1%
34 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
40 1
< 0.1%
ValueCountFrequency (%)
17545 1
< 0.1%
16928 1
< 0.1%
16776 1
< 0.1%
16660 1
< 0.1%
16360 1
< 0.1%
16340 1
< 0.1%
16289 1
< 0.1%
16175 1
< 0.1%
15857 1
< 0.1%
15768 1
< 0.1%

Unnamed: 19
Real number (ℝ)

Distinct3213
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1284.0147
Minimum9
Maximum12941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:32.498549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile141
Q1407
median801
Q31555.25
95-th percentile4235
Maximum12941
Range12932
Interquartile range (IQR)1148.25

Descriptive statistics

Standard deviation1484.2835
Coefficient of variation (CV)1.1559708
Kurtosis11.93654
Mean1284.0147
Median Absolute Deviation (MAD)484
Skewness2.9894218
Sum12840147
Variance2203097.5
MonotonicityNot monotonic
2024-04-30T01:32:32.613355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311 16
 
0.2%
206 15
 
0.1%
437 14
 
0.1%
133 14
 
0.1%
563 14
 
0.1%
214 14
 
0.1%
327 14
 
0.1%
271 13
 
0.1%
430 13
 
0.1%
496 13
 
0.1%
Other values (3203) 9860
98.6%
ValueCountFrequency (%)
9 1
< 0.1%
12 2
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 2
< 0.1%
23 1
< 0.1%
25 1
< 0.1%
ValueCountFrequency (%)
12941 1
< 0.1%
12837 1
< 0.1%
12429 1
< 0.1%
12315 1
< 0.1%
12279 1
< 0.1%
12261 1
< 0.1%
12145 1
< 0.1%
12080 1
< 0.1%
12019 1
< 0.1%
11966 1
< 0.1%

Unnamed: 20
Real number (ℝ)

Distinct2528
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean867.7753
Minimum5
Maximum9633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:32.730988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile106
Q1286
median550
Q31032
95-th percentile2919.15
Maximum9633
Range9628
Interquartile range (IQR)746

Descriptive statistics

Standard deviation1007.9454
Coefficient of variation (CV)1.1615281
Kurtosis14.448095
Mean867.7753
Median Absolute Deviation (MAD)321
Skewness3.2364696
Sum8677753
Variance1015953.9
MonotonicityNot monotonic
2024-04-30T01:32:32.844267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229 27
 
0.3%
461 20
 
0.2%
173 19
 
0.2%
228 18
 
0.2%
231 18
 
0.2%
189 18
 
0.2%
279 18
 
0.2%
427 18
 
0.2%
176 18
 
0.2%
320 18
 
0.2%
Other values (2518) 9808
98.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
7 1
 
< 0.1%
8 2
< 0.1%
10 1
 
< 0.1%
11 2
< 0.1%
13 3
< 0.1%
14 2
< 0.1%
15 2
< 0.1%
16 2
< 0.1%
17 3
< 0.1%
ValueCountFrequency (%)
9633 1
< 0.1%
9276 1
< 0.1%
9145 1
< 0.1%
9118 1
< 0.1%
9067 1
< 0.1%
8953 1
< 0.1%
8929 1
< 0.1%
8910 1
< 0.1%
8634 1
< 0.1%
8548 1
< 0.1%

Unnamed: 21
Real number (ℝ)

Distinct2400
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean808.6781
Minimum6
Maximum11730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:32.977017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile91
Q1260
median504
Q3940
95-th percentile2777.05
Maximum11730
Range11724
Interquartile range (IQR)680

Descriptive statistics

Standard deviation996.43092
Coefficient of variation (CV)1.2321725
Kurtosis22.64262
Mean808.6781
Median Absolute Deviation (MAD)293
Skewness3.8213914
Sum8086781
Variance992874.58
MonotonicityNot monotonic
2024-04-30T01:32:33.096648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296 22
 
0.2%
276 22
 
0.2%
134 22
 
0.2%
249 22
 
0.2%
121 20
 
0.2%
195 19
 
0.2%
95 19
 
0.2%
234 19
 
0.2%
202 18
 
0.2%
266 18
 
0.2%
Other values (2390) 9799
98.0%
ValueCountFrequency (%)
6 1
 
< 0.1%
9 3
< 0.1%
11 5
0.1%
12 1
 
< 0.1%
13 3
< 0.1%
14 1
 
< 0.1%
15 6
0.1%
16 2
 
< 0.1%
17 1
 
< 0.1%
19 4
< 0.1%
ValueCountFrequency (%)
11730 1
< 0.1%
11620 1
< 0.1%
11569 1
< 0.1%
11068 1
< 0.1%
11054 1
< 0.1%
10987 1
< 0.1%
10795 1
< 0.1%
10730 1
< 0.1%
10479 1
< 0.1%
10298 1
< 0.1%

Unnamed: 22
Real number (ℝ)

Distinct2268
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean731.0225
Minimum2
Maximum13388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:33.229337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile71
Q1217
median449
Q3847
95-th percentile2482.1
Maximum13388
Range13386
Interquartile range (IQR)630

Descriptive statistics

Standard deviation967.89424
Coefficient of variation (CV)1.324028
Kurtosis35.950139
Mean731.0225
Median Absolute Deviation (MAD)276
Skewness4.7016441
Sum7310225
Variance936819.27
MonotonicityNot monotonic
2024-04-30T01:32:33.356752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 24
 
0.2%
156 23
 
0.2%
136 22
 
0.2%
179 22
 
0.2%
188 22
 
0.2%
205 21
 
0.2%
197 21
 
0.2%
162 21
 
0.2%
177 20
 
0.2%
206 20
 
0.2%
Other values (2258) 9784
97.8%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 4
< 0.1%
7 3
 
< 0.1%
8 1
 
< 0.1%
9 5
0.1%
10 3
 
< 0.1%
11 8
0.1%
ValueCountFrequency (%)
13388 1
< 0.1%
12549 1
< 0.1%
12376 1
< 0.1%
12248 1
< 0.1%
12208 1
< 0.1%
12006 1
< 0.1%
11863 1
< 0.1%
11726 1
< 0.1%
11721 1
< 0.1%
11540 1
< 0.1%

Unnamed: 23
Real number (ℝ)

Distinct1609
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean414.9304
Minimum0
Maximum8344
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:33.717056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q1116
median252
Q3503
95-th percentile1360.15
Maximum8344
Range8344
Interquartile range (IQR)387

Descriptive statistics

Standard deviation546.09601
Coefficient of variation (CV)1.3161147
Kurtosis30.236906
Mean414.9304
Median Absolute Deviation (MAD)168
Skewness4.3594785
Sum4149304
Variance298220.85
MonotonicityNot monotonic
2024-04-30T01:32:33.843623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 37
 
0.4%
49 37
 
0.4%
81 35
 
0.4%
78 35
 
0.4%
118 33
 
0.3%
116 33
 
0.3%
69 32
 
0.3%
63 31
 
0.3%
43 31
 
0.3%
44 31
 
0.3%
Other values (1599) 9665
96.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 3
 
< 0.1%
2 4
 
< 0.1%
3 7
 
0.1%
4 6
 
0.1%
5 18
0.2%
6 16
0.2%
7 11
0.1%
8 12
0.1%
9 11
0.1%
ValueCountFrequency (%)
8344 1
< 0.1%
7140 1
< 0.1%
6596 1
< 0.1%
6364 1
< 0.1%
6066 1
< 0.1%
6046 1
< 0.1%
5818 1
< 0.1%
5537 1
< 0.1%
5375 1
< 0.1%
5298 1
< 0.1%

Unnamed: 24
Real number (ℝ)

ZEROS 

Distinct726
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2874
Minimum0
Maximum2903
Zeros807
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:33.980223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median49
Q3143
95-th percentile388
Maximum2903
Range2903
Interquartile range (IQR)132

Descriptive statistics

Standard deviation181.3316
Coefficient of variation (CV)1.6441733
Kurtosis39.736171
Mean110.2874
Median Absolute Deviation (MAD)46
Skewness4.9107983
Sum1102874
Variance32881.149
MonotonicityNot monotonic
2024-04-30T01:32:34.118401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 807
 
8.1%
1 402
 
4.0%
2 249
 
2.5%
3 172
 
1.7%
4 138
 
1.4%
6 124
 
1.2%
15 118
 
1.2%
5 115
 
1.1%
8 114
 
1.1%
7 110
 
1.1%
Other values (716) 7651
76.5%
ValueCountFrequency (%)
0 807
8.1%
1 402
4.0%
2 249
 
2.5%
3 172
 
1.7%
4 138
 
1.4%
5 115
 
1.1%
6 124
 
1.2%
7 110
 
1.1%
8 114
 
1.1%
9 105
 
1.1%
ValueCountFrequency (%)
2903 1
< 0.1%
2456 1
< 0.1%
2445 1
< 0.1%
2356 1
< 0.1%
2323 1
< 0.1%
2318 1
< 0.1%
2256 1
< 0.1%
2204 1
< 0.1%
2161 1
< 0.1%
2129 1
< 0.1%

(단위:명)
Real number (ℝ)

Distinct8647
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17604.999
Minimum362
Maximum130040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:32:34.240386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum362
5-th percentile3082.55
Q17484.75
median13005
Q321732.25
95-th percentile50235.75
Maximum130040
Range129678
Interquartile range (IQR)14247.5

Descriptive statistics

Standard deviation15817.647
Coefficient of variation (CV)0.89847475
Kurtosis8.2882489
Mean17604.999
Median Absolute Deviation (MAD)6488
Skewness2.4310868
Sum1.7604999 × 108
Variance2.5019796 × 108
MonotonicityNot monotonic
2024-04-30T01:32:34.361275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11148 5
 
0.1%
12363 4
 
< 0.1%
13863 4
 
< 0.1%
5703 4
 
< 0.1%
4402 4
 
< 0.1%
9466 4
 
< 0.1%
13438 4
 
< 0.1%
8570 4
 
< 0.1%
6848 4
 
< 0.1%
8283 4
 
< 0.1%
Other values (8637) 9959
99.6%
ValueCountFrequency (%)
362 1
< 0.1%
437 1
< 0.1%
450 1
< 0.1%
476 1
< 0.1%
546 1
< 0.1%
554 1
< 0.1%
560 1
< 0.1%
658 1
< 0.1%
661 1
< 0.1%
674 1
< 0.1%
ValueCountFrequency (%)
130040 1
< 0.1%
129381 1
< 0.1%
127363 1
< 0.1%
126232 1
< 0.1%
125128 1
< 0.1%
125021 1
< 0.1%
124879 1
< 0.1%
124518 1
< 0.1%
124173 1
< 0.1%
124066 1
< 0.1%

Sample

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24(단위:명)
767462018-05-117호선2746대림(구로구청)하차57168324852599530487465491563622622888132797567764164031310811349
522822018-04-123호선331남부터미널(예술의전당)하차389612780888436772290165714101658177617141937215830422591117298493044516440268
54372018-01-234호선416미아사거리승차5171422406049072464147912641309139612911375151815631826139513787666462836930928
488382018-03-297호선2759삼산체육관하차9681562711191061051391641902032504236407134493944272641415231
941372018-06-137호선2724사가정승차30544863410641076874857941875792768726797703572467368340161012768
599862018-04-117호선2735반포하차353696031028736399432379369333329405375528423279211198146257602
885482018-06-242호선202을지로입구하차12760979016022448221325492132235621772093194517821360109394575452837422428101
307562018-02-237호선2711장암하차35543724231362834314030461131816442335217993
415622018-03-066호선2647화랑대(서울여대입구)하차22112368114767241545443937438242965781415591661101184993663019813129
710122018-05-221호선156신설동하차60220363677600504607626634642723617800660448481415430312589877
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24(단위:명)
123652018-01-168호선2825신흥승차123229560722357264240216219222265317255294167148119875274863
757872018-05-087호선2735반포승차44153449664447249250280320299396557714864605430464286105117587
903062018-06-016호선2618증산(명지대앞)하차381882105203942983253943535065228059971526127290073484858231311725
447452018-03-167호선2741상도승차158468161320401046585578578662629700748108910976464845944793306314587
272018-01-012호선204을지로4가승차24415783151227342283317274271308296247194139126783733498
945982018-06-155호선2530공덕하차283101497416815957536745716896156145919082055144763953254738415718774
522522018-04-123호선315무악재하차983140261218189140135178193229297349588586382376395224865058
206312018-02-161호선155동대문승차11916022223134149459985196413191385161612569238346784464203085713223
443292018-03-156호선2627공덕승차1793381054152699164278172876476898411331794378817281275143710746159221691
648642018-04-276호선2616구산하차51054793422162282512193293043565434917648164623504143061497129