Overview

Dataset statistics

Number of variables27
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 memory246.0 B

Variable types

DateTime1
Categorical3
Numeric22
Text1

Dataset

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

Alerts

Unnamed: 25 has 1180 (11.8%) zerosZeros

Reproduction

Analysis started2024-04-29 16:33:33.380653
Analysis finished2024-04-29 16:33:33.978263
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-01-01 00:00:00
Maximum2017-07-01 00:00:00
2024-04-30T01:33:34.070849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:33:34.360631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Unnamed: 1
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
6764 
1661 
1376 
구정
 
151
신정
 
48

Length

Max length2
Median length1
Mean length1.0199
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
6764
67.6%
1661
 
16.6%
1376
 
13.8%
구정 151
 
1.5%
신정 48
 
0.5%

Length

2024-04-30T01:33:34.633300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:33:34.953449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6764
67.6%
1661
 
16.6%
1376
 
13.8%
구정 151
 
1.5%
신정 48
 
0.5%

Unnamed: 2
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
7
1856 
2
1821 
5
1817 
6
1312 
3
1219 
Other values (3)
1975 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row3
3rd row1
4th row7
5th row5

Common Values

ValueCountFrequency (%)
7 1856
18.6%
2 1821
18.2%
5 1817
18.2%
6 1312
13.1%
3 1219
12.2%
4 963
9.6%
8 648
 
6.5%
1 364
 
3.6%

Length

2024-04-30T01:33:35.108009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:33:35.225541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 1856
18.6%
2 1821
18.2%
5 1817
18.2%
6 1312
13.1%
3 1219
12.2%
4 963
9.6%
8 648
 
6.5%
1 364
 
3.6%

Unnamed: 3
Real number (ℝ)

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1623.2057
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:35.416372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204.95
Q1317
median2528
Q32711
95-th percentile2814
Maximum2827
Range2677
Interquartile range (IQR)2394

Descriptive statistics

Standard deviation1177.0304
Coefficient of variation (CV)0.72512707
Kurtosis-1.9116759
Mean1623.2057
Median Absolute Deviation (MAD)283
Skewness-0.24995065
Sum16232057
Variance1385400.5
MonotonicityNot monotonic
2024-04-30T01:33:35.635814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238 53
 
0.5%
2754 51
 
0.5%
414 50
 
0.5%
2648 49
 
0.5%
248 48
 
0.5%
249 48
 
0.5%
2726 47
 
0.5%
2516 47
 
0.5%
2521 47
 
0.5%
2744 47
 
0.5%
Other values (265) 9513
95.1%
ValueCountFrequency (%)
150 41
0.4%
151 34
0.3%
152 44
0.4%
153 44
0.4%
154 33
0.3%
155 33
0.3%
156 37
0.4%
157 37
0.4%
158 29
0.3%
159 32
0.3%
ValueCountFrequency (%)
2827 37
0.4%
2826 34
0.3%
2825 40
0.4%
2824 34
0.3%
2823 27
0.3%
2822 43
0.4%
2821 37
0.4%
2820 42
0.4%
2819 40
0.4%
2818 44
0.4%
Distinct242
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:33:35.980937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.2885
Min length2

Characters and Unicode

Total characters42885
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 row영등포시장
2nd row독립문
3rd row종로3가
4th row중곡
5th row화곡
ValueCountFrequency (%)
동대문역사문화공원 125
 
1.2%
종로3가 113
 
1.1%
불광 90
 
0.9%
태릉입구 88
 
0.9%
가락시장 81
 
0.8%
합정 81
 
0.8%
영등포구청 81
 
0.8%
오금 80
 
0.8%
서울역 80
 
0.8%
고속터미널 80
 
0.8%
Other values (232) 9101
91.0%
2024-04-30T01:33:36.601576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2064
 
4.8%
( 2064
 
4.8%
1795
 
4.2%
1739
 
4.1%
1300
 
3.0%
1114
 
2.6%
893
 
2.1%
819
 
1.9%
763
 
1.8%
742
 
1.7%
Other values (226) 29592
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38386
89.5%
Close Punctuation 2064
 
4.8%
Open Punctuation 2064
 
4.8%
Decimal Number 279
 
0.7%
Other Punctuation 92
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1795
 
4.7%
1739
 
4.5%
1300
 
3.4%
1114
 
2.9%
893
 
2.3%
819
 
2.1%
763
 
2.0%
742
 
1.9%
646
 
1.7%
602
 
1.6%
Other values (220) 27973
72.9%
Decimal Number
ValueCountFrequency (%)
3 172
61.6%
4 74
26.5%
5 33
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 2064
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2064
100.0%
Other Punctuation
ValueCountFrequency (%)
. 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38386
89.5%
Common 4499
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1795
 
4.7%
1739
 
4.5%
1300
 
3.4%
1114
 
2.9%
893
 
2.3%
819
 
2.1%
763
 
2.0%
742
 
1.9%
646
 
1.7%
602
 
1.6%
Other values (220) 27973
72.9%
Common
ValueCountFrequency (%)
) 2064
45.9%
( 2064
45.9%
3 172
 
3.8%
. 92
 
2.0%
4 74
 
1.6%
5 33
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38386
89.5%
ASCII 4499
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2064
45.9%
( 2064
45.9%
3 172
 
3.8%
. 92
 
2.0%
4 74
 
1.6%
5 33
 
0.7%
Hangul
ValueCountFrequency (%)
1795
 
4.7%
1739
 
4.5%
1300
 
3.4%
1114
 
2.9%
893
 
2.3%
819
 
2.1%
763
 
2.0%
742
 
1.9%
646
 
1.7%
602
 
1.6%
Other values (220) 27973
72.9%

Unnamed: 5
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5020 
승차
4980 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5020
50.2%
승차 4980
49.8%

Length

2024-04-30T01:33:36.879157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:33:36.984495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5020
50.2%
승차 4980
49.8%

Unnamed: 6
Real number (ℝ)

Distinct798
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.1954
Minimum0
Maximum3114
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:37.114292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q133
median70
Q3166
95-th percentile450
Maximum3114
Range3114
Interquartile range (IQR)133

Descriptive statistics

Standard deviation202.93038
Coefficient of variation (CV)1.4684308
Kurtosis27.318079
Mean138.1954
Median Absolute Deviation (MAD)47
Skewness4.3494161
Sum1381954
Variance41180.737
MonotonicityNot monotonic
2024-04-30T01:33:37.249580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 115
 
1.1%
28 113
 
1.1%
31 110
 
1.1%
27 99
 
1.0%
42 99
 
1.0%
36 98
 
1.0%
26 97
 
1.0%
22 96
 
1.0%
25 94
 
0.9%
20 90
 
0.9%
Other values (788) 8989
89.9%
ValueCountFrequency (%)
0 31
 
0.3%
1 36
0.4%
2 38
0.4%
3 38
0.4%
4 32
 
0.3%
5 47
0.5%
6 45
0.4%
7 63
0.6%
8 85
0.9%
9 79
0.8%
ValueCountFrequency (%)
3114 1
< 0.1%
2372 1
< 0.1%
1924 1
< 0.1%
1842 1
< 0.1%
1829 1
< 0.1%
1822 1
< 0.1%
1821 1
< 0.1%
1813 1
< 0.1%
1805 1
< 0.1%
1780 1
< 0.1%

Unnamed: 7
Real number (ℝ)

Distinct1513
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.9084
Minimum5
Maximum3687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:37.366602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile51
Q1141
median256
Q3482.25
95-th percentile1169.05
Maximum3687
Range3682
Interquartile range (IQR)341.25

Descriptive statistics

Standard deviation408.77329
Coefficient of variation (CV)1.0483829
Kurtosis10.137716
Mean389.9084
Median Absolute Deviation (MAD)143
Skewness2.7260187
Sum3899084
Variance167095.6
MonotonicityNot monotonic
2024-04-30T01:33:37.503483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209 38
 
0.4%
96 33
 
0.3%
214 33
 
0.3%
215 33
 
0.3%
141 33
 
0.3%
112 32
 
0.3%
106 32
 
0.3%
93 32
 
0.3%
82 32
 
0.3%
134 32
 
0.3%
Other values (1503) 9670
96.7%
ValueCountFrequency (%)
5 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 4
< 0.1%
10 3
< 0.1%
11 3
< 0.1%
12 2
 
< 0.1%
13 5
0.1%
14 3
< 0.1%
15 5
0.1%
ValueCountFrequency (%)
3687 1
< 0.1%
3551 1
< 0.1%
3539 1
< 0.1%
3510 1
< 0.1%
3437 1
< 0.1%
3291 1
< 0.1%
3288 1
< 0.1%
3264 1
< 0.1%
3260 1
< 0.1%
3133 1
< 0.1%

Unnamed: 8
Real number (ℝ)

Distinct2869
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987.2504
Minimum6
Maximum11890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:37.645036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile77
Q1241
median525
Q31199
95-th percentile3427.05
Maximum11890
Range11884
Interquartile range (IQR)958

Descriptive statistics

Standard deviation1275.6019
Coefficient of variation (CV)1.2920753
Kurtosis11.40407
Mean987.2504
Median Absolute Deviation (MAD)356
Skewness2.9542515
Sum9872504
Variance1627160.2
MonotonicityNot monotonic
2024-04-30T01:33:37.813961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232 27
 
0.3%
255 22
 
0.2%
261 21
 
0.2%
114 20
 
0.2%
217 20
 
0.2%
131 20
 
0.2%
208 20
 
0.2%
95 20
 
0.2%
296 20
 
0.2%
182 20
 
0.2%
Other values (2859) 9790
97.9%
ValueCountFrequency (%)
6 2
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 3
< 0.1%
12 2
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 2
< 0.1%
ValueCountFrequency (%)
11890 1
< 0.1%
11383 1
< 0.1%
11099 1
< 0.1%
10950 1
< 0.1%
10884 1
< 0.1%
10710 1
< 0.1%
10480 1
< 0.1%
10416 1
< 0.1%
10276 1
< 0.1%
9857 1
< 0.1%

Unnamed: 9
Real number (ℝ)

Distinct3710
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1666.1852
Minimum9
Maximum20462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:37.983779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile128
Q1419
median949
Q31937
95-th percentile5634.3
Maximum20462
Range20453
Interquartile range (IQR)1518

Descriptive statistics

Standard deviation2245.3522
Coefficient of variation (CV)1.3476006
Kurtosis16.891119
Mean1666.1852
Median Absolute Deviation (MAD)630
Skewness3.5826626
Sum16661852
Variance5041606.5
MonotonicityNot monotonic
2024-04-30T01:33:38.145907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
305 15
 
0.1%
433 15
 
0.1%
210 14
 
0.1%
342 14
 
0.1%
321 14
 
0.1%
361 14
 
0.1%
538 13
 
0.1%
414 13
 
0.1%
143 13
 
0.1%
387 13
 
0.1%
Other values (3700) 9862
98.6%
ValueCountFrequency (%)
9 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 2
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
23 2
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
ValueCountFrequency (%)
20462 1
< 0.1%
20452 1
< 0.1%
20196 1
< 0.1%
20104 1
< 0.1%
19536 1
< 0.1%
19319 1
< 0.1%
17848 1
< 0.1%
17768 1
< 0.1%
17686 1
< 0.1%
17678 1
< 0.1%

Unnamed: 10
Real number (ℝ)

Distinct2817
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1083.8941
Minimum8
Maximum16541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:38.286738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile143
Q1380
median701
Q31246.25
95-th percentile3481.1
Maximum16541
Range16533
Interquartile range (IQR)866.25

Descriptive statistics

Standard deviation1330.8548
Coefficient of variation (CV)1.2278458
Kurtosis26.974492
Mean1083.8941
Median Absolute Deviation (MAD)385.5
Skewness4.2301014
Sum10838941
Variance1771174.4
MonotonicityNot monotonic
2024-04-30T01:33:38.428960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330 18
 
0.2%
299 18
 
0.2%
186 17
 
0.2%
462 17
 
0.2%
391 16
 
0.2%
279 16
 
0.2%
221 16
 
0.2%
466 16
 
0.2%
291 16
 
0.2%
423 15
 
0.1%
Other values (2807) 9835
98.4%
ValueCountFrequency (%)
8 1
 
< 0.1%
15 1
 
< 0.1%
20 1
 
< 0.1%
21 2
< 0.1%
22 3
< 0.1%
23 1
 
< 0.1%
25 2
< 0.1%
27 2
< 0.1%
28 1
 
< 0.1%
29 3
< 0.1%
ValueCountFrequency (%)
16541 1
< 0.1%
15830 1
< 0.1%
15190 1
< 0.1%
14780 1
< 0.1%
14304 1
< 0.1%
14268 1
< 0.1%
14188 1
< 0.1%
14154 1
< 0.1%
14080 1
< 0.1%
14070 1
< 0.1%

Unnamed: 11
Real number (ℝ)

Distinct2257
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.3954
Minimum16
Maximum7284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:38.553838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile126
Q1313
median555
Q3902
95-th percentile2328.05
Maximum7284
Range7268
Interquartile range (IQR)589

Descriptive statistics

Standard deviation720.16696
Coefficient of variation (CV)0.95084675
Kurtosis10.654083
Mean757.3954
Median Absolute Deviation (MAD)275
Skewness2.6893029
Sum7573954
Variance518640.44
MonotonicityNot monotonic
2024-04-30T01:33:38.681870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 22
 
0.2%
253 20
 
0.2%
504 20
 
0.2%
189 20
 
0.2%
379 20
 
0.2%
319 20
 
0.2%
316 19
 
0.2%
586 19
 
0.2%
246 18
 
0.2%
331 18
 
0.2%
Other values (2247) 9804
98.0%
ValueCountFrequency (%)
16 1
 
< 0.1%
18 1
 
< 0.1%
20 2
< 0.1%
24 1
 
< 0.1%
25 2
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
29 3
< 0.1%
30 1
 
< 0.1%
32 2
< 0.1%
ValueCountFrequency (%)
7284 1
< 0.1%
7076 1
< 0.1%
7052 1
< 0.1%
6623 1
< 0.1%
6464 1
< 0.1%
6425 1
< 0.1%
6390 1
< 0.1%
6270 1
< 0.1%
6247 1
< 0.1%
6234 1
< 0.1%

Unnamed: 12
Real number (ℝ)

Distinct2223
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean746.7968
Minimum12
Maximum6393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:38.824223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile128
Q1312
median546.5
Q3917
95-th percentile2227
Maximum6393
Range6381
Interquartile range (IQR)605

Descriptive statistics

Standard deviation695.92426
Coefficient of variation (CV)0.931879
Kurtosis9.3746077
Mean746.7968
Median Absolute Deviation (MAD)274.5
Skewness2.5692024
Sum7467968
Variance484310.57
MonotonicityNot monotonic
2024-04-30T01:33:38.970815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231 24
 
0.2%
254 21
 
0.2%
539 20
 
0.2%
237 20
 
0.2%
301 20
 
0.2%
260 19
 
0.2%
255 19
 
0.2%
389 19
 
0.2%
469 19
 
0.2%
220 19
 
0.2%
Other values (2213) 9800
98.0%
ValueCountFrequency (%)
12 1
 
< 0.1%
13 1
 
< 0.1%
18 2
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
28 4
< 0.1%
30 2
< 0.1%
ValueCountFrequency (%)
6393 1
< 0.1%
6095 2
< 0.1%
6061 1
< 0.1%
6035 1
< 0.1%
5976 1
< 0.1%
5858 1
< 0.1%
5844 1
< 0.1%
5719 1
< 0.1%
5683 1
< 0.1%
5503 1
< 0.1%

Unnamed: 13
Real number (ℝ)

Distinct2307
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean793.1847
Minimum11
Maximum7203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:39.088669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile133
Q1337
median579
Q3980
95-th percentile2266.05
Maximum7203
Range7192
Interquartile range (IQR)643

Descriptive statistics

Standard deviation726.14155
Coefficient of variation (CV)0.91547599
Kurtosis9.8147334
Mean793.1847
Median Absolute Deviation (MAD)284
Skewness2.5790935
Sum7931847
Variance527281.55
MonotonicityNot monotonic
2024-04-30T01:33:39.253650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326 24
 
0.2%
230 21
 
0.2%
306 20
 
0.2%
353 19
 
0.2%
385 19
 
0.2%
228 18
 
0.2%
266 18
 
0.2%
404 18
 
0.2%
482 17
 
0.2%
536 17
 
0.2%
Other values (2297) 9809
98.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
31 3
< 0.1%
ValueCountFrequency (%)
7203 1
< 0.1%
6776 1
< 0.1%
6635 1
< 0.1%
6376 1
< 0.1%
6338 1
< 0.1%
6242 1
< 0.1%
6180 1
< 0.1%
6051 1
< 0.1%
5973 1
< 0.1%
5971 1
< 0.1%

Unnamed: 14
Real number (ℝ)

Distinct2446
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean869.2888
Minimum18
Maximum8772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:39.770605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile151
Q1367
median624
Q31060.25
95-th percentile2523.1
Maximum8772
Range8754
Interquartile range (IQR)693.25

Descriptive statistics

Standard deviation816.39732
Coefficient of variation (CV)0.93915546
Kurtosis11.604538
Mean869.2888
Median Absolute Deviation (MAD)306
Skewness2.7456465
Sum8692888
Variance666504.59
MonotonicityNot monotonic
2024-04-30T01:33:39.903645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389 22
 
0.2%
303 21
 
0.2%
405 20
 
0.2%
414 18
 
0.2%
553 18
 
0.2%
341 17
 
0.2%
314 17
 
0.2%
375 17
 
0.2%
365 17
 
0.2%
332 17
 
0.2%
Other values (2436) 9816
98.2%
ValueCountFrequency (%)
18 1
< 0.1%
19 1
< 0.1%
22 2
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
25 2
< 0.1%
28 2
< 0.1%
29 2
< 0.1%
31 2
< 0.1%
32 1
< 0.1%
ValueCountFrequency (%)
8772 1
< 0.1%
8099 1
< 0.1%
8015 1
< 0.1%
7756 1
< 0.1%
7556 1
< 0.1%
7436 1
< 0.1%
7145 1
< 0.1%
7007 1
< 0.1%
6869 1
< 0.1%
6864 1
< 0.1%

Unnamed: 15
Real number (ℝ)

Distinct2429
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.3215
Minimum12
Maximum7861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:40.059297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile147
Q1357.75
median600
Q31039.25
95-th percentile2486.05
Maximum7861
Range7849
Interquartile range (IQR)681.5

Descriptive statistics

Standard deviation809.01054
Coefficient of variation (CV)0.94585549
Kurtosis10.231072
Mean855.3215
Median Absolute Deviation (MAD)294
Skewness2.63486
Sum8553215
Variance654498.05
MonotonicityNot monotonic
2024-04-30T01:33:40.191963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344 20
 
0.2%
329 20
 
0.2%
400 20
 
0.2%
404 19
 
0.2%
317 19
 
0.2%
406 19
 
0.2%
343 19
 
0.2%
537 19
 
0.2%
310 19
 
0.2%
349 18
 
0.2%
Other values (2419) 9808
98.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
22 1
 
< 0.1%
28 2
 
< 0.1%
29 1
 
< 0.1%
30 1
 
< 0.1%
31 1
 
< 0.1%
32 1
 
< 0.1%
33 3
< 0.1%
34 3
< 0.1%
35 7
0.1%
ValueCountFrequency (%)
7861 1
< 0.1%
7446 1
< 0.1%
7318 1
< 0.1%
7265 1
< 0.1%
7134 1
< 0.1%
6621 1
< 0.1%
6610 1
< 0.1%
6538 1
< 0.1%
6497 1
< 0.1%
6460 1
< 0.1%

Unnamed: 16
Real number (ℝ)

Distinct2529
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean905.8841
Minimum22
Maximum9309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:40.320787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile154.95
Q1380
median636
Q31110
95-th percentile2638.05
Maximum9309
Range9287
Interquartile range (IQR)730

Descriptive statistics

Standard deviation857.21746
Coefficient of variation (CV)0.94627719
Kurtosis10.145131
Mean905.8841
Median Absolute Deviation (MAD)311
Skewness2.636104
Sum9058841
Variance734821.77
MonotonicityNot monotonic
2024-04-30T01:33:40.460820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
507 23
 
0.2%
434 21
 
0.2%
587 18
 
0.2%
521 18
 
0.2%
665 18
 
0.2%
343 17
 
0.2%
424 17
 
0.2%
252 17
 
0.2%
364 17
 
0.2%
325 17
 
0.2%
Other values (2519) 9817
98.2%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
29 3
< 0.1%
31 2
< 0.1%
32 1
 
< 0.1%
34 2
< 0.1%
35 3
< 0.1%
ValueCountFrequency (%)
9309 1
< 0.1%
7705 1
< 0.1%
7370 1
< 0.1%
7320 1
< 0.1%
7110 1
< 0.1%
6914 1
< 0.1%
6847 1
< 0.1%
6845 1
< 0.1%
6817 1
< 0.1%
6695 1
< 0.1%

Unnamed: 17
Real number (ℝ)

Distinct2679
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1004.4814
Minimum20
Maximum10405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:40.594025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile172.95
Q1429
median722.5
Q31213.25
95-th percentile2888
Maximum10405
Range10385
Interquartile range (IQR)784.25

Descriptive statistics

Standard deviation943.0708
Coefficient of variation (CV)0.93886338
Kurtosis10.570002
Mean1004.4814
Median Absolute Deviation (MAD)351.5
Skewness2.6892061
Sum10044814
Variance889382.54
MonotonicityNot monotonic
2024-04-30T01:33:40.714101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366 20
 
0.2%
474 19
 
0.2%
411 18
 
0.2%
359 18
 
0.2%
506 18
 
0.2%
512 16
 
0.2%
407 16
 
0.2%
473 16
 
0.2%
468 15
 
0.1%
394 15
 
0.1%
Other values (2669) 9829
98.3%
ValueCountFrequency (%)
20 1
 
< 0.1%
22 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
29 2
< 0.1%
31 1
 
< 0.1%
32 4
< 0.1%
34 2
< 0.1%
36 2
< 0.1%
37 2
< 0.1%
ValueCountFrequency (%)
10405 1
< 0.1%
8386 1
< 0.1%
8192 1
< 0.1%
8156 1
< 0.1%
8062 1
< 0.1%
8013 1
< 0.1%
7717 1
< 0.1%
7536 1
< 0.1%
7471 1
< 0.1%
7269 1
< 0.1%

Unnamed: 18
Real number (ℝ)

Distinct3013
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1193.5651
Minimum21
Maximum12400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:40.833163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile192
Q1490
median843
Q31418
95-th percentile3688
Maximum12400
Range12379
Interquartile range (IQR)928

Descriptive statistics

Standard deviation1158.3369
Coefficient of variation (CV)0.9704849
Kurtosis9.557537
Mean1193.5651
Median Absolute Deviation (MAD)415
Skewness2.6164958
Sum11935651
Variance1341744.4
MonotonicityNot monotonic
2024-04-30T01:33:40.953706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447 17
 
0.2%
477 17
 
0.2%
493 15
 
0.1%
474 15
 
0.1%
561 15
 
0.1%
426 14
 
0.1%
542 14
 
0.1%
500 14
 
0.1%
228 14
 
0.1%
648 14
 
0.1%
Other values (3003) 9851
98.5%
ValueCountFrequency (%)
21 1
 
< 0.1%
29 1
 
< 0.1%
31 1
 
< 0.1%
33 1
 
< 0.1%
35 2
< 0.1%
36 2
< 0.1%
39 2
< 0.1%
40 2
< 0.1%
41 3
< 0.1%
42 3
< 0.1%
ValueCountFrequency (%)
12400 1
< 0.1%
10501 1
< 0.1%
10418 1
< 0.1%
10310 1
< 0.1%
9841 1
< 0.1%
9229 1
< 0.1%
8981 1
< 0.1%
8961 1
< 0.1%
8855 1
< 0.1%
8693 1
< 0.1%

Unnamed: 19
Real number (ℝ)

Distinct3700
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1683.121
Minimum0
Maximum17689
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:41.075706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile207.95
Q1562
median1073
Q31910
95-th percentile5511.3
Maximum17689
Range17689
Interquartile range (IQR)1348

Descriptive statistics

Standard deviation1977.6972
Coefficient of variation (CV)1.1750178
Kurtosis13.327015
Mean1683.121
Median Absolute Deviation (MAD)596
Skewness3.1834999
Sum16831210
Variance3911286.2
MonotonicityNot monotonic
2024-04-30T01:33:41.188941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
477 13
 
0.1%
435 12
 
0.1%
490 12
 
0.1%
724 12
 
0.1%
491 12
 
0.1%
448 12
 
0.1%
424 11
 
0.1%
673 11
 
0.1%
739 11
 
0.1%
357 11
 
0.1%
Other values (3690) 9883
98.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
28 3
< 0.1%
30 2
< 0.1%
32 1
 
< 0.1%
33 3
< 0.1%
36 1
 
< 0.1%
37 3
< 0.1%
38 1
 
< 0.1%
39 2
< 0.1%
41 2
< 0.1%
ValueCountFrequency (%)
17689 1
< 0.1%
17233 1
< 0.1%
16919 1
< 0.1%
16452 1
< 0.1%
16428 1
< 0.1%
16167 1
< 0.1%
16145 1
< 0.1%
15394 1
< 0.1%
15366 1
< 0.1%
15143 1
< 0.1%

Unnamed: 20
Real number (ℝ)

Distinct3253
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1298.5571
Minimum0
Maximum13630
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:41.343560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile143
Q1410
median820
Q31598
95-th percentile4194.2
Maximum13630
Range13630
Interquartile range (IQR)1188

Descriptive statistics

Standard deviation1468.7852
Coefficient of variation (CV)1.1310902
Kurtosis12.025133
Mean1298.5571
Median Absolute Deviation (MAD)499
Skewness2.9348475
Sum12985571
Variance2157330
MonotonicityNot monotonic
2024-04-30T01:33:41.489170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
351 18
 
0.2%
262 17
 
0.2%
331 17
 
0.2%
287 15
 
0.1%
354 15
 
0.1%
259 14
 
0.1%
494 14
 
0.1%
338 14
 
0.1%
542 14
 
0.1%
311 14
 
0.1%
Other values (3243) 9848
98.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
10 1
 
< 0.1%
12 2
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
18 5
0.1%
19 2
 
< 0.1%
20 1
 
< 0.1%
21 2
 
< 0.1%
22 4
< 0.1%
ValueCountFrequency (%)
13630 1
< 0.1%
13553 1
< 0.1%
13235 1
< 0.1%
13056 1
< 0.1%
12720 1
< 0.1%
12677 1
< 0.1%
12312 1
< 0.1%
12240 1
< 0.1%
12032 1
< 0.1%
11926 1
< 0.1%

Unnamed: 21
Real number (ℝ)

Distinct2560
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean875.8977
Minimum0
Maximum9616
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:41.630894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile106
Q1294
median564
Q31041.25
95-th percentile2915.1
Maximum9616
Range9616
Interquartile range (IQR)747.25

Descriptive statistics

Standard deviation988.34436
Coefficient of variation (CV)1.1283788
Kurtosis13.143027
Mean875.8977
Median Absolute Deviation (MAD)327
Skewness3.0525493
Sum8758977
Variance976824.57
MonotonicityNot monotonic
2024-04-30T01:33:41.774656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217 22
 
0.2%
168 21
 
0.2%
415 20
 
0.2%
197 20
 
0.2%
236 19
 
0.2%
291 18
 
0.2%
220 18
 
0.2%
169 18
 
0.2%
254 17
 
0.2%
275 17
 
0.2%
Other values (2550) 9810
98.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
3 2
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 4
< 0.1%
10 1
 
< 0.1%
11 2
< 0.1%
12 1
 
< 0.1%
13 3
< 0.1%
ValueCountFrequency (%)
9616 1
< 0.1%
9231 1
< 0.1%
8823 1
< 0.1%
8806 1
< 0.1%
8785 1
< 0.1%
8746 1
< 0.1%
8689 1
< 0.1%
8663 1
< 0.1%
8654 1
< 0.1%
8604 1
< 0.1%

Unnamed: 22
Real number (ℝ)

Distinct2445
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean818.0053
Minimum0
Maximum11968
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:41.894908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile92.95
Q1266
median520
Q3935
95-th percentile2767.15
Maximum11968
Range11968
Interquartile range (IQR)669

Descriptive statistics

Standard deviation988.33389
Coefficient of variation (CV)1.2082243
Kurtosis22.035138
Mean818.0053
Median Absolute Deviation (MAD)301
Skewness3.7113612
Sum8180053
Variance976803.87
MonotonicityNot monotonic
2024-04-30T01:33:42.015323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 22
 
0.2%
229 22
 
0.2%
153 20
 
0.2%
211 20
 
0.2%
371 20
 
0.2%
143 19
 
0.2%
130 19
 
0.2%
128 19
 
0.2%
379 18
 
0.2%
136 18
 
0.2%
Other values (2435) 9803
98.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 5
0.1%
9 3
< 0.1%
10 5
0.1%
11 4
< 0.1%
12 4
< 0.1%
ValueCountFrequency (%)
11968 1
< 0.1%
11357 1
< 0.1%
11348 1
< 0.1%
11312 1
< 0.1%
11267 1
< 0.1%
11152 1
< 0.1%
10961 1
< 0.1%
10801 1
< 0.1%
10766 1
< 0.1%
10557 1
< 0.1%

Unnamed: 23
Real number (ℝ)

Distinct2285
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean742.5754
Minimum0
Maximum14514
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:42.134583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile73
Q1224
median467
Q3863
95-th percentile2492.1
Maximum14514
Range14514
Interquartile range (IQR)639

Descriptive statistics

Standard deviation956.43485
Coefficient of variation (CV)1.2879969
Kurtosis36.418212
Mean742.5754
Median Absolute Deviation (MAD)284
Skewness4.5864352
Sum7425754
Variance914767.62
MonotonicityNot monotonic
2024-04-30T01:33:42.262501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143 26
 
0.3%
129 24
 
0.2%
136 24
 
0.2%
202 22
 
0.2%
78 22
 
0.2%
227 21
 
0.2%
148 21
 
0.2%
87 21
 
0.2%
171 21
 
0.2%
102 20
 
0.2%
Other values (2275) 9778
97.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 4
< 0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 8
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
14514 1
< 0.1%
13335 1
< 0.1%
12903 1
< 0.1%
12667 1
< 0.1%
12312 1
< 0.1%
12263 1
< 0.1%
11765 1
< 0.1%
11620 1
< 0.1%
11538 1
< 0.1%
11512 1
< 0.1%

Unnamed: 24
Real number (ℝ)

Distinct1648
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean421.0911
Minimum0
Maximum8157
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:42.393743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q1115
median260
Q3519
95-th percentile1399.1
Maximum8157
Range8157
Interquartile range (IQR)404

Descriptive statistics

Standard deviation533.90672
Coefficient of variation (CV)1.2679126
Kurtosis28.733093
Mean421.0911
Median Absolute Deviation (MAD)173
Skewness4.0906492
Sum4210911
Variance285056.38
MonotonicityNot monotonic
2024-04-30T01:33:42.527269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 38
 
0.4%
77 35
 
0.4%
111 34
 
0.3%
45 34
 
0.3%
50 32
 
0.3%
48 31
 
0.3%
144 30
 
0.3%
34 30
 
0.3%
33 30
 
0.3%
39 30
 
0.3%
Other values (1638) 9676
96.8%
ValueCountFrequency (%)
0 5
 
0.1%
1 11
0.1%
2 4
 
< 0.1%
3 8
0.1%
4 9
0.1%
5 10
0.1%
6 17
0.2%
7 11
0.1%
8 5
 
0.1%
9 12
0.1%
ValueCountFrequency (%)
8157 1
< 0.1%
7774 1
< 0.1%
7139 1
< 0.1%
6344 1
< 0.1%
6207 1
< 0.1%
6087 1
< 0.1%
5929 1
< 0.1%
5464 1
< 0.1%
5199 1
< 0.1%
5127 1
< 0.1%

Unnamed: 25
Real number (ℝ)

ZEROS 

Distinct716
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.3238
Minimum0
Maximum2414
Zeros1180
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:42.660039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median49
Q3144
95-th percentile393
Maximum2414
Range2414
Interquartile range (IQR)134

Descriptive statistics

Standard deviation173.48237
Coefficient of variation (CV)1.5724837
Kurtosis30.367563
Mean110.3238
Median Absolute Deviation (MAD)48
Skewness4.2836393
Sum1103238
Variance30096.134
MonotonicityNot monotonic
2024-04-30T01:33:42.784037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1180
 
11.8%
1 367
 
3.7%
2 213
 
2.1%
3 135
 
1.4%
4 111
 
1.1%
9 106
 
1.1%
11 103
 
1.0%
7 93
 
0.9%
12 93
 
0.9%
13 91
 
0.9%
Other values (706) 7508
75.1%
ValueCountFrequency (%)
0 1180
11.8%
1 367
 
3.7%
2 213
 
2.1%
3 135
 
1.4%
4 111
 
1.1%
5 82
 
0.8%
6 83
 
0.8%
7 93
 
0.9%
8 91
 
0.9%
9 106
 
1.1%
ValueCountFrequency (%)
2414 1
< 0.1%
2339 1
< 0.1%
2275 1
< 0.1%
2141 1
< 0.1%
2025 1
< 0.1%
1885 1
< 0.1%
1866 1
< 0.1%
1820 1
< 0.1%
1788 1
< 0.1%
1767 1
< 0.1%

(단위:명)
Real number (ℝ)

Distinct8583
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17340.923
Minimum331
Maximum136592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:33:42.915575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331
5-th percentile3012
Q17405
median12863.5
Q321540.5
95-th percentile50338.2
Maximum136592
Range136261
Interquartile range (IQR)14135.5

Descriptive statistics

Standard deviation15363.596
Coefficient of variation (CV)0.88597341
Kurtosis8.0679709
Mean17340.923
Median Absolute Deviation (MAD)6310.5
Skewness2.362155
Sum1.7340923 × 108
Variance2.3604009 × 108
MonotonicityNot monotonic
2024-04-30T01:33:43.038694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4475 5
 
0.1%
6836 5
 
0.1%
10928 5
 
0.1%
9994 4
 
< 0.1%
7775 4
 
< 0.1%
10321 4
 
< 0.1%
11050 4
 
< 0.1%
6001 4
 
< 0.1%
5030 4
 
< 0.1%
7145 4
 
< 0.1%
Other values (8573) 9957
99.6%
ValueCountFrequency (%)
331 1
< 0.1%
431 1
< 0.1%
460 1
< 0.1%
476 1
< 0.1%
500 1
< 0.1%
571 1
< 0.1%
574 1
< 0.1%
618 1
< 0.1%
677 1
< 0.1%
679 1
< 0.1%
ValueCountFrequency (%)
136592 1
< 0.1%
133079 1
< 0.1%
132372 1
< 0.1%
126393 1
< 0.1%
125730 1
< 0.1%
123623 1
< 0.1%
122061 1
< 0.1%
120864 1
< 0.1%
118402 1
< 0.1%
117973 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: 24Unnamed: 25(단위:명)
596682017-04-1952525영등포시장하차5931359218409015684795697006245094975688605943653303151735110907
754862017-05-183316독립문하차262437939047026684493654244664944846087477654463824062791699820
352072017-03-061153종로3가승차1391282704775348661423182923812589287931893185474038022486310722618019137177
785452017-05-2372726중곡승차311575166122071186553500486465422419667679632464294216255841912095
640532017-04-2752518화곡승차907198361517072294117601468153713801240112112011414168210457247165342453235153
140162017-01-2652524영등포구청하차1475208926367204205185198198209230269302180103878757174121
83112017-01-162221역삼승차12435460010869599681418154621402289312536515490134018072441744893019115023958537
685002017-05-0552541왕십리(성동구청)하차1679912152172282683544303303653564333663342131981601531654971
703642017-05-0872760굴포천하차1912922851439522824430529837137349281413991477123480665936024710592
719202017-05-1172713수락산하차3520934072067855254949852951662581910261533226112891113118387336115709
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: 24Unnamed: 25(단위:명)
829062017-05-3162644돌곶이하차291412908265173863393404343925046226941088107870655667640218710207
61992017-01-123324금호승차13143010611714100055849246743640435940546444932123418914049269329
282132017-02-213331남부터미널(예술의전당)승차10333712391967168816421870185620861936213921503448690734072360211217138288939877
629422017-04-2552512개화산하차61633478292792252412121982622713373756047104473913942311066628
632212017-04-2582813강동구청승차14854117642104101457146845645646247150668713005463553132161031612497
787102017-05-242220선릉하차286166756141401294913624255818892594224019872007231727372024119991190560030758969
434052017-03-2072756신중동승차1929232515199093772861360260253660076597016168738345834732113516598
336922017-03-033319종로3가하차261735472110198713508717998027637306677259656982761921521235014006
919992017-06-173324금호승차1542793486276866545605595784874584324603982242102081826007564
73422017-01-144411노원하차232233127721260765107413401439153015681743189221511906146415921366109911023629