Overview

Dataset statistics

Number of variables30
Number of observations1765
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory463.8 KiB
Average record size in memory269.1 B

Variable types

Numeric29
Categorical1

Dataset

DescriptionSKT사에서 제공하는 데이터(2019. 1. ~ 계속)로 월별 충청남도내 시군 단위로 기준연월일, 시군구명, 연령별유동인구(남성/여성 구분, 10세미만~70세이상 5세단위) 컬럼으로 구성되어 있습니다. 50*50m격자형태의 원데이터에서 시군단위로 가공한 자료로 민간에서도 다운로드 받아 사용할 수 있으며, 상업적인 용도로 사용은 금합니다. 보다 상세한 데이터는 SKT사로부터 구매후 이용가능합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3122

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 40-44세 유동인구수 has unique valuesUnique
여성 70세이상 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:14:58.585508
Analysis finished2024-01-09 20:14:59.123280
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월일
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209954
Minimum20190101
Maximum20231031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:14:59.212782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190101
5-th percentile20190330
Q120200317
median20210601
Q320220816
95-th percentile20230804
Maximum20231031
Range40930
Interquartile range (IQR)20499

Descriptive statistics

Standard deviation13858.585
Coefficient of variation (CV)0.00068573064
Kurtosis-1.2604638
Mean20209954
Median Absolute Deviation (MAD)10230
Skewness0.04267975
Sum3.5670569 × 1010
Variance1.9206037 × 108
MonotonicityStrictly increasing
2024-01-10T05:14:59.423299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190101 1
 
0.1%
20220319 1
 
0.1%
20220330 1
 
0.1%
20220329 1
 
0.1%
20220328 1
 
0.1%
20220327 1
 
0.1%
20220326 1
 
0.1%
20220325 1
 
0.1%
20220324 1
 
0.1%
20220323 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
20190101 1
0.1%
20190102 1
0.1%
20190103 1
0.1%
20190104 1
0.1%
20190105 1
0.1%
20190106 1
0.1%
20190107 1
0.1%
20190108 1
0.1%
20190109 1
0.1%
20190110 1
0.1%
ValueCountFrequency (%)
20231031 1
0.1%
20231030 1
0.1%
20231029 1
0.1%
20231028 1
0.1%
20231027 1
0.1%
20231026 1
0.1%
20231025 1
0.1%
20231024 1
0.1%
20231023 1
0.1%
20231022 1
0.1%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.9 KiB
서천군
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서천군 1765
100.0%

Length

2024-01-10T05:14:59.633108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:14:59.764563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서천군 1765
100.0%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5261.8594
Minimum1004.74
Maximum29698.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:14:59.904453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004.74
5-th percentile2394.842
Q13408.78
median4610.69
Q36198.28
95-th percentile10475.984
Maximum29698.02
Range28693.28
Interquartile range (IQR)2789.5

Descriptive statistics

Standard deviation2751.022
Coefficient of variation (CV)0.52282316
Kurtosis7.3009474
Mean5261.8594
Median Absolute Deviation (MAD)1321.1
Skewness2.0455766
Sum9287181.9
Variance7568121.9
MonotonicityNot monotonic
2024-01-10T05:15:00.083638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4080.59 2
 
0.1%
3252.79 2
 
0.1%
3992.78 2
 
0.1%
12003.83 1
 
0.1%
6438.24 1
 
0.1%
4081.34 1
 
0.1%
4920.62 1
 
0.1%
4302.11 1
 
0.1%
4309.89 1
 
0.1%
7278.13 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
1004.74 1
0.1%
1090.77 1
0.1%
1122.68 1
0.1%
1172.21 1
0.1%
1179.11 1
0.1%
1199.76 1
0.1%
1227.85 1
0.1%
1229.83 1
0.1%
1251.58 1
0.1%
1290.34 1
0.1%
ValueCountFrequency (%)
29698.02 1
0.1%
19416.44 1
0.1%
19107.32 1
0.1%
18936.73 1
0.1%
18742.19 1
0.1%
18447.53 1
0.1%
17883.1 1
0.1%
17773.86 1
0.1%
17232.39 1
0.1%
17176.22 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3983.2116
Minimum1709.73
Maximum41742.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:00.270964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1709.73
5-th percentile2179.53
Q12904.28
median3558.99
Q34497.77
95-th percentile6874.054
Maximum41742.43
Range40032.7
Interquartile range (IQR)1593.49

Descriptive statistics

Standard deviation2060.8707
Coefficient of variation (CV)0.5173892
Kurtosis82.071536
Mean3983.2116
Median Absolute Deviation (MAD)769.44
Skewness6.3196349
Sum7030368.6
Variance4247188
MonotonicityNot monotonic
2024-01-10T05:15:00.459725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3518.65 2
 
0.1%
3027.93 2
 
0.1%
3597.44 2
 
0.1%
2508.26 2
 
0.1%
2502.21 2
 
0.1%
3958.85 2
 
0.1%
10928.55 1
 
0.1%
3752.49 1
 
0.1%
3527.11 1
 
0.1%
2917.35 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
1709.73 1
0.1%
1730.72 1
0.1%
1789.93 1
0.1%
1798.88 1
0.1%
1811.64 1
0.1%
1822.29 1
0.1%
1855.47 1
0.1%
1861.7 1
0.1%
1869.34 1
0.1%
1881.52 1
0.1%
ValueCountFrequency (%)
41742.43 1
0.1%
25516.84 1
0.1%
24344.69 1
0.1%
22944.24 1
0.1%
15452.11 1
0.1%
14189.3 1
0.1%
14019.81 1
0.1%
13089.66 1
0.1%
13073.01 1
0.1%
12739.17 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6282.0348
Minimum2604.83
Maximum84869.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:00.672179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2604.83
5-th percentile4056.87
Q14972.43
median5862.05
Q36746.39
95-th percentile10098.608
Maximum84869.77
Range82264.94
Interquartile range (IQR)1773.96

Descriptive statistics

Standard deviation3216.406
Coefficient of variation (CV)0.51200067
Kurtosis237.21833
Mean6282.0348
Median Absolute Deviation (MAD)888.96
Skewness11.894578
Sum11087791
Variance10345268
MonotonicityNot monotonic
2024-01-10T05:15:00.872056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6020.31 2
 
0.1%
5313.9 2
 
0.1%
4302.66 2
 
0.1%
6669.86 2
 
0.1%
17809.29 1
 
0.1%
4932.98 1
 
0.1%
6598.25 1
 
0.1%
5059.22 1
 
0.1%
5000.18 1
 
0.1%
4866.94 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2604.83 1
0.1%
2986.73 1
0.1%
3297.69 1
0.1%
3299.42 1
0.1%
3330.74 1
0.1%
3383.14 1
0.1%
3388.88 1
0.1%
3407.27 1
0.1%
3430.15 1
0.1%
3474.06 1
0.1%
ValueCountFrequency (%)
84869.77 1
0.1%
50342.08 1
0.1%
41455.4 1
0.1%
39063.45 1
0.1%
27304.32 1
0.1%
20017.94 1
0.1%
19790.38 1
0.1%
19776.68 1
0.1%
17990.87 1
0.1%
17809.29 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7240.4082
Minimum3906.4
Maximum60740.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:01.029066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3906.4
5-th percentile5212.84
Q16061.12
median6834.22
Q37777.97
95-th percentile10529.31
Maximum60740.25
Range56833.85
Interquartile range (IQR)1716.85

Descriptive statistics

Standard deviation2450.3509
Coefficient of variation (CV)0.33842718
Kurtosis150.1713
Mean7240.4082
Median Absolute Deviation (MAD)846.16
Skewness8.7283285
Sum12779321
Variance6004219.7
MonotonicityNot monotonic
2024-01-10T05:15:01.190096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6805.3 2
 
0.1%
6750.04 2
 
0.1%
6500.33 2
 
0.1%
6493.3 2
 
0.1%
5713.52 2
 
0.1%
8460.69 2
 
0.1%
6434.9 2
 
0.1%
5722.05 1
 
0.1%
5218.81 1
 
0.1%
5824.5 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
3906.4 1
0.1%
4146.03 1
0.1%
4273.54 1
0.1%
4329.11 1
0.1%
4395.48 1
0.1%
4438.73 1
0.1%
4441.72 1
0.1%
4503.17 1
0.1%
4515.65 1
0.1%
4521.65 1
0.1%
ValueCountFrequency (%)
60740.25 1
0.1%
37889.31 1
0.1%
28656.97 1
0.1%
26836.21 1
0.1%
22726.27 1
0.1%
19865.15 1
0.1%
18794.48 1
0.1%
18551.12 1
0.1%
17865.13 1
0.1%
17741.73 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8015.1713
Minimum4328.78
Maximum38809.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:01.349773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4328.78
5-th percentile6017.626
Q17239.86
median7893.49
Q38572.47
95-th percentile10126.35
Maximum38809.73
Range34480.95
Interquartile range (IQR)1332.61

Descriptive statistics

Standard deviation1660.2634
Coefficient of variation (CV)0.20714011
Kurtosis81.237253
Mean8015.1713
Median Absolute Deviation (MAD)668.86
Skewness5.7393131
Sum14146777
Variance2756474.7
MonotonicityNot monotonic
2024-01-10T05:15:01.519663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8838.48 2
 
0.1%
6971.5 2
 
0.1%
7571.99 2
 
0.1%
7980.49 1
 
0.1%
7438.69 1
 
0.1%
7617.36 1
 
0.1%
7718.82 1
 
0.1%
7733.44 1
 
0.1%
6364.23 1
 
0.1%
6431.48 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4328.78 1
0.1%
4706.17 1
0.1%
4872.66 1
0.1%
4896.09 1
0.1%
4919.97 1
0.1%
5000.78 1
0.1%
5010.16 1
0.1%
5012.55 1
0.1%
5033.57 1
0.1%
5054.48 1
0.1%
ValueCountFrequency (%)
38809.73 1
0.1%
26730.74 1
0.1%
20352.37 1
0.1%
18905.51 1
0.1%
18606.07 1
0.1%
16665.5 1
0.1%
16361.46 1
0.1%
16168.11 1
0.1%
15497.11 1
0.1%
15241.5 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10278.8
Minimum5495.12
Maximum30858.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:01.702931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5495.12
5-th percentile7891.74
Q19451.42
median10354.6
Q310972.46
95-th percentile12139.616
Maximum30858.86
Range25363.74
Interquartile range (IQR)1521.04

Descriptive statistics

Standard deviation1574.2515
Coefficient of variation (CV)0.15315518
Kurtosis24.195886
Mean10278.8
Median Absolute Deviation (MAD)745.42
Skewness2.5158729
Sum18142083
Variance2478267.9
MonotonicityNot monotonic
2024-01-10T05:15:01.878429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10062.33 2
 
0.1%
10846.84 2
 
0.1%
10354.6 2
 
0.1%
8467.24 1
 
0.1%
10191.4 1
 
0.1%
9834.44 1
 
0.1%
8720.37 1
 
0.1%
8750.51 1
 
0.1%
10313.65 1
 
0.1%
10146.09 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
5495.12 1
0.1%
5623.88 1
0.1%
6215.07 1
0.1%
6311.64 1
0.1%
6356.33 1
0.1%
6399.11 1
0.1%
6515.93 1
0.1%
6536.8 1
0.1%
6551.0 1
0.1%
6587.54 1
0.1%
ValueCountFrequency (%)
30858.86 1
0.1%
23599.22 1
0.1%
20771.1 1
0.1%
20647.15 1
0.1%
19793.19 1
0.1%
19114.01 1
0.1%
18730.43 1
0.1%
18552.12 1
0.1%
17069.87 1
0.1%
17053.05 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12252.681
Minimum6683.08
Maximum32221.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:02.085068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6683.08
5-th percentile9407.708
Q111182.55
median12123.46
Q313066.65
95-th percentile15514.684
Maximum32221.19
Range25538.11
Interquartile range (IQR)1884.1

Descriptive statistics

Standard deviation2037.4147
Coefficient of variation (CV)0.16628318
Kurtosis9.9676567
Mean12252.681
Median Absolute Deviation (MAD)943.19
Skewness1.7319368
Sum21625982
Variance4151058.8
MonotonicityNot monotonic
2024-01-10T05:15:02.259660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12889.4 2
 
0.1%
12581.65 1
 
0.1%
12755.9 1
 
0.1%
11701.14 1
 
0.1%
12035.31 1
 
0.1%
11967.04 1
 
0.1%
11000.85 1
 
0.1%
10994.96 1
 
0.1%
11873.48 1
 
0.1%
11903.82 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
6683.08 1
0.1%
6694.19 1
0.1%
6755.79 1
0.1%
6777.97 1
0.1%
6804.61 1
0.1%
7013.52 1
0.1%
7039.2 1
0.1%
7225.38 1
0.1%
7319.93 1
0.1%
7498.65 1
0.1%
ValueCountFrequency (%)
32221.19 1
0.1%
25101.48 1
0.1%
24005.64 1
0.1%
23855.11 1
0.1%
23325.64 1
0.1%
23119.37 1
0.1%
22932.69 1
0.1%
22602.06 1
0.1%
21687.96 1
0.1%
21315.45 1
0.1%

남성 40-44세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15325.361
Minimum6641.62
Maximum32307.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:02.438803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6641.62
5-th percentile11042.096
Q113882.84
median15284.08
Q316537.59
95-th percentile19732.746
Maximum32307.66
Range25666.04
Interquartile range (IQR)2654.75

Descriptive statistics

Standard deviation2749.5806
Coefficient of variation (CV)0.17941376
Kurtosis4.9561806
Mean15325.361
Median Absolute Deviation (MAD)1316.58
Skewness1.1536311
Sum27049262
Variance7560193.5
MonotonicityNot monotonic
2024-01-10T05:15:02.606462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11092.33 1
 
0.1%
14130.54 1
 
0.1%
15378.61 1
 
0.1%
15918.95 1
 
0.1%
15434.8 1
 
0.1%
14213.9 1
 
0.1%
14358.66 1
 
0.1%
15518.84 1
 
0.1%
15465.45 1
 
0.1%
15356.89 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
6641.62 1
0.1%
8023.79 1
0.1%
8292.29 1
0.1%
8526.7 1
0.1%
8576.34 1
0.1%
8695.98 1
0.1%
8704.88 1
0.1%
8925.78 1
0.1%
9008.29 1
0.1%
9041.57 1
0.1%
ValueCountFrequency (%)
32307.66 1
0.1%
31539.79 1
0.1%
31039.7 1
0.1%
30166.18 1
0.1%
29873.22 1
0.1%
28770.64 1
0.1%
28670.1 1
0.1%
28636.15 1
0.1%
28520.98 1
0.1%
27381.96 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16085.267
Minimum8017.19
Maximum36227.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:02.778144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8017.19
5-th percentile12004.348
Q114689.42
median16144.99
Q317310.53
95-th percentile20048.45
Maximum36227.51
Range28210.32
Interquartile range (IQR)2621.11

Descriptive statistics

Standard deviation2640.9667
Coefficient of variation (CV)0.16418544
Kurtosis6.8375892
Mean16085.267
Median Absolute Deviation (MAD)1295.06
Skewness1.2781954
Sum28390496
Variance6974705
MonotonicityNot monotonic
2024-01-10T05:15:03.402637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14554.01 2
 
0.1%
16841.76 2
 
0.1%
11515.1 1
 
0.1%
13163.19 1
 
0.1%
16326.15 1
 
0.1%
16650.07 1
 
0.1%
16552.92 1
 
0.1%
15049.77 1
 
0.1%
15580.81 1
 
0.1%
16781.66 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8017.19 1
0.1%
8934.6 1
0.1%
9599.21 1
0.1%
9662.68 1
0.1%
9702.89 1
0.1%
9731.04 1
0.1%
9832.99 1
0.1%
9842.51 1
0.1%
9876.06 1
0.1%
9908.01 1
0.1%
ValueCountFrequency (%)
36227.51 1
0.1%
33317.01 1
0.1%
33270.01 1
0.1%
30336.61 1
0.1%
29958.7 1
0.1%
29924.42 1
0.1%
29841.82 1
0.1%
29310.91 1
0.1%
28757.22 1
0.1%
28504.58 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17557.664
Minimum7709.74
Maximum34827.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:03.581543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7709.74
5-th percentile12950.226
Q116186.88
median17792.97
Q319026
95-th percentile21150.128
Maximum34827.09
Range27117.35
Interquartile range (IQR)2839.12

Descriptive statistics

Standard deviation2585.6585
Coefficient of variation (CV)0.14726665
Kurtosis3.4306848
Mean17557.664
Median Absolute Deviation (MAD)1384.37
Skewness0.37888868
Sum30989278
Variance6685629.8
MonotonicityNot monotonic
2024-01-10T05:15:03.774151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13777.2 2
 
0.1%
15843.76 2
 
0.1%
17776.48 1
 
0.1%
19148.16 1
 
0.1%
18679.15 1
 
0.1%
15867.89 1
 
0.1%
16555.68 1
 
0.1%
19416.55 1
 
0.1%
19201.13 1
 
0.1%
18600.79 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
7709.74 1
0.1%
10107.56 1
0.1%
10210.81 1
0.1%
10511.99 1
0.1%
10595.26 1
0.1%
10760.35 1
0.1%
11001.32 1
0.1%
11148.79 1
0.1%
11231.98 1
0.1%
11275.47 1
0.1%
ValueCountFrequency (%)
34827.09 1
0.1%
32431.62 1
0.1%
31982.03 1
0.1%
29512.63 1
0.1%
29071.27 1
0.1%
28597.79 1
0.1%
28579.11 1
0.1%
28370.57 1
0.1%
27922.33 1
0.1%
27048.37 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17699.555
Minimum7527.42
Maximum30612.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:03.938127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7527.42
5-th percentile12950.786
Q116387.88
median18022.08
Q319269.81
95-th percentile21135.428
Maximum30612.88
Range23085.46
Interquartile range (IQR)2881.93

Descriptive statistics

Standard deviation2453.0393
Coefficient of variation (CV)0.13859328
Kurtosis1.10171
Mean17699.555
Median Absolute Deviation (MAD)1401.62
Skewness-0.23808816
Sum31239714
Variance6017401.7
MonotonicityNot monotonic
2024-01-10T05:15:04.111296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13484.19 2
 
0.1%
18526.91 2
 
0.1%
11735.88 1
 
0.1%
18186.59 1
 
0.1%
19012.52 1
 
0.1%
18968.26 1
 
0.1%
17832.16 1
 
0.1%
17829.96 1
 
0.1%
19547.23 1
 
0.1%
19116.31 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
7527.42 1
0.1%
9978.62 1
0.1%
10208.5 1
0.1%
10705.18 1
0.1%
10845.09 1
0.1%
10865.33 1
0.1%
10876.34 1
0.1%
10927.98 1
0.1%
11004.51 1
0.1%
11037.96 1
0.1%
ValueCountFrequency (%)
30612.88 1
0.1%
28427.42 1
0.1%
26523.36 1
0.1%
26482.99 1
0.1%
25998.36 1
0.1%
25520.37 1
0.1%
25449.24 1
0.1%
25170.3 1
0.1%
24810.83 1
0.1%
24585.74 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13971.04
Minimum5611.83
Maximum20425.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:04.262902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5611.83
5-th percentile10199.984
Q112962.4
median14188.85
Q315230.78
95-th percentile16688.528
Maximum20425.96
Range14814.13
Interquartile range (IQR)2268.38

Descriptive statistics

Standard deviation1904.728
Coefficient of variation (CV)0.13633402
Kurtosis0.67784692
Mean13971.04
Median Absolute Deviation (MAD)1107.45
Skewness-0.56791826
Sum24658885
Variance3627988.9
MonotonicityNot monotonic
2024-01-10T05:15:04.473698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14683.56 2
 
0.1%
14485.17 2
 
0.1%
14060.97 2
 
0.1%
15060.81 2
 
0.1%
14986.57 1
 
0.1%
17365.75 1
 
0.1%
15684.05 1
 
0.1%
15151.78 1
 
0.1%
15353.41 1
 
0.1%
15853.19 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
5611.83 1
0.1%
7266.07 1
0.1%
7518.38 1
0.1%
7967.37 1
0.1%
8117.88 1
0.1%
8130.82 1
0.1%
8152.31 1
0.1%
8211.44 1
0.1%
8302.83 1
0.1%
8399.93 1
0.1%
ValueCountFrequency (%)
20425.96 1
0.1%
19318.2 1
0.1%
19126.34 1
0.1%
19088.37 1
0.1%
18895.35 1
0.1%
18789.53 1
0.1%
18722.99 1
0.1%
18555.15 1
0.1%
18462.03 1
0.1%
18449.96 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11046.486
Minimum3843.24
Maximum15652.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:04.661574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3843.24
5-th percentile7412.866
Q19975.1
median11213.55
Q312424.08
95-th percentile13771.908
Maximum15652.2
Range11808.96
Interquartile range (IQR)2448.98

Descriptive statistics

Standard deviation1883.878
Coefficient of variation (CV)0.17054094
Kurtosis0.37869459
Mean11046.486
Median Absolute Deviation (MAD)1228.69
Skewness-0.61150353
Sum19497047
Variance3548996.4
MonotonicityNot monotonic
2024-01-10T05:15:04.852726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10286.15 2
 
0.1%
12836.22 2
 
0.1%
10872.78 2
 
0.1%
5223.71 1
 
0.1%
13370.71 1
 
0.1%
12254.7 1
 
0.1%
12463.2 1
 
0.1%
13128.89 1
 
0.1%
13142.71 1
 
0.1%
11884.84 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
3843.24 1
0.1%
4527.23 1
0.1%
5154.42 1
0.1%
5219.31 1
0.1%
5223.71 1
0.1%
5299.04 1
0.1%
5321.48 1
0.1%
5328.6 1
0.1%
5353.53 1
0.1%
5499.07 1
0.1%
ValueCountFrequency (%)
15652.2 1
0.1%
15409.12 1
0.1%
15343.78 1
0.1%
15320.38 1
0.1%
15019.82 1
0.1%
14954.49 1
0.1%
14914.41 1
0.1%
14879.57 1
0.1%
14857.52 1
0.1%
14806.36 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16207.16
Minimum4544.61
Maximum22668.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:05.020033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4544.61
5-th percentile9574.728
Q114827.57
median16601.93
Q318223.41
95-th percentile20355.654
Maximum22668.1
Range18123.49
Interquartile range (IQR)3395.84

Descriptive statistics

Standard deviation3073.0509
Coefficient of variation (CV)0.1896107
Kurtosis1.3749075
Mean16207.16
Median Absolute Deviation (MAD)1688.22
Skewness-1.0123353
Sum28605637
Variance9443641.6
MonotonicityNot monotonic
2024-01-10T05:15:05.232857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17957.44 2
 
0.1%
15614.97 2
 
0.1%
5119.91 1
 
0.1%
18548.26 1
 
0.1%
18064.25 1
 
0.1%
17845.56 1
 
0.1%
19182.87 1
 
0.1%
19148.14 1
 
0.1%
16335.49 1
 
0.1%
15127.89 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4544.61 1
0.1%
5119.91 1
0.1%
5456.07 1
0.1%
5638.11 1
0.1%
5772.3 1
0.1%
5791.36 1
0.1%
5947.44 1
0.1%
6031.44 1
0.1%
6341.6 1
0.1%
6363.27 1
0.1%
ValueCountFrequency (%)
22668.1 1
0.1%
22631.45 1
0.1%
22399.99 1
0.1%
22152.91 1
0.1%
22099.12 1
0.1%
22013.95 1
0.1%
21978.81 1
0.1%
21955.51 1
0.1%
21953.77 1
0.1%
21885.66 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4999.376
Minimum1192.04
Maximum23647.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:05.464198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1192.04
5-th percentile2293.716
Q13318.17
median4339.91
Q35984.39
95-th percentile9903.134
Maximum23647.65
Range22455.61
Interquartile range (IQR)2666.22

Descriptive statistics

Standard deviation2535.2125
Coefficient of variation (CV)0.50710578
Kurtosis5.6307097
Mean4999.376
Median Absolute Deviation (MAD)1240.35
Skewness1.8970407
Sum8823898.7
Variance6427302.4
MonotonicityNot monotonic
2024-01-10T05:15:05.666760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3157.75 2
 
0.1%
5405.21 2
 
0.1%
3612.43 2
 
0.1%
10989.09 1
 
0.1%
3854.61 1
 
0.1%
3859.41 1
 
0.1%
3942.73 1
 
0.1%
8087.25 1
 
0.1%
5760.64 1
 
0.1%
3708.82 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
1192.04 1
0.1%
1222.46 1
0.1%
1283.57 1
0.1%
1337.53 1
0.1%
1339.21 1
0.1%
1372.51 1
0.1%
1398.44 1
0.1%
1399.35 1
0.1%
1418.73 1
0.1%
1429.11 1
0.1%
ValueCountFrequency (%)
23647.65 1
0.1%
18685.73 1
0.1%
18062.64 1
0.1%
17408.5 1
0.1%
17268.32 1
0.1%
17178.47 1
0.1%
17123.4 1
0.1%
16757.73 1
0.1%
16747.23 1
0.1%
16496.88 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3712.9744
Minimum1566.66
Maximum39835.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:05.875425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1566.66
5-th percentile2038.9
Q12663.62
median3332.32
Q34180.89
95-th percentile6435.978
Maximum39835.52
Range38268.86
Interquartile range (IQR)1517.27

Descriptive statistics

Standard deviation1958.0347
Coefficient of variation (CV)0.52734936
Kurtosis84.790773
Mean3712.9744
Median Absolute Deviation (MAD)748.08
Skewness6.4394901
Sum6553399.9
Variance3833899.8
MonotonicityNot monotonic
2024-01-10T05:15:06.091372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2209.51 2
 
0.1%
3004.24 2
 
0.1%
3895.23 2
 
0.1%
2955.57 2
 
0.1%
10836.16 1
 
0.1%
3162.92 1
 
0.1%
2717.04 1
 
0.1%
3618.97 1
 
0.1%
3334.69 1
 
0.1%
2570.89 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
1566.66 1
0.1%
1615.32 1
0.1%
1706.29 1
0.1%
1709.75 1
0.1%
1712.11 1
0.1%
1713.72 1
0.1%
1726.51 1
0.1%
1729.3 1
0.1%
1733.96 1
0.1%
1735.32 1
0.1%
ValueCountFrequency (%)
39835.52 1
0.1%
24675.02 1
0.1%
23651.45 1
0.1%
21293.21 1
0.1%
15557.56 1
0.1%
12818.49 1
0.1%
12253.25 1
0.1%
12066.67 1
0.1%
12011.74 1
0.1%
11652.01 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5452.2196
Minimum2524.48
Maximum76352.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:06.271754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2524.48
5-th percentile3379.936
Q14263.32
median5060.11
Q35740.78
95-th percentile9404.458
Maximum76352.69
Range73828.21
Interquartile range (IQR)1477.46

Descriptive statistics

Standard deviation3011.0726
Coefficient of variation (CV)0.55226546
Kurtosis208.86832
Mean5452.2196
Median Absolute Deviation (MAD)739.49
Skewness11.122923
Sum9623167.6
Variance9066558.1
MonotonicityNot monotonic
2024-01-10T05:15:06.461632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6284.94 2
 
0.1%
4924.6 2
 
0.1%
3432.8 2
 
0.1%
4629.23 2
 
0.1%
5769.02 1
 
0.1%
4801.71 1
 
0.1%
4462.92 1
 
0.1%
5339.46 1
 
0.1%
4701.19 1
 
0.1%
5147.24 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2524.48 1
0.1%
2530.34 1
0.1%
2628.0 1
0.1%
2709.94 1
0.1%
2718.84 1
0.1%
2789.17 1
0.1%
2813.88 1
0.1%
2850.21 1
0.1%
2869.68 1
0.1%
2883.73 1
0.1%
ValueCountFrequency (%)
76352.69 1
0.1%
46375.09 1
0.1%
37518.61 1
0.1%
36406.33 1
0.1%
25196.59 1
0.1%
19864.2 1
0.1%
18922.08 1
0.1%
18917.19 1
0.1%
18389.99 1
0.1%
16857.96 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5047.1394
Minimum2300.9
Maximum60342.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:06.653273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2300.9
5-th percentile3259.142
Q13942.84
median4503.58
Q35268.06
95-th percentile9134.186
Maximum60342.7
Range58041.8
Interquartile range (IQR)1325.22

Descriptive statistics

Standard deviation2672.4702
Coefficient of variation (CV)0.52950196
Kurtosis140.62319
Mean5047.1394
Median Absolute Deviation (MAD)647.73
Skewness8.9876234
Sum8908201
Variance7142097
MonotonicityNot monotonic
2024-01-10T05:15:06.843068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3678.4 2
 
0.1%
4514.33 2
 
0.1%
3195.37 2
 
0.1%
3739.59 2
 
0.1%
3557.6 2
 
0.1%
19350.21 1
 
0.1%
4828.74 1
 
0.1%
3103.81 1
 
0.1%
2766.92 1
 
0.1%
3031.18 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
2300.9 1
0.1%
2521.27 1
0.1%
2521.4 1
0.1%
2571.36 1
0.1%
2731.46 1
0.1%
2732.83 1
0.1%
2754.03 1
0.1%
2756.32 1
0.1%
2766.92 1
0.1%
2769.75 1
0.1%
ValueCountFrequency (%)
60342.7 1
0.1%
43306.1 1
0.1%
31499.63 1
0.1%
31473.79 1
0.1%
21106.78 1
0.1%
19350.21 1
0.1%
17792.0 1
0.1%
17657.52 1
0.1%
17174.82 1
0.1%
15649.17 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5137.8798
Minimum2001.39
Maximum42829.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:07.028447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001.39
5-th percentile3755.614
Q14261.12
median4756.5
Q35281.38
95-th percentile7813.48
Maximum42829.57
Range40828.18
Interquartile range (IQR)1020.26

Descriptive statistics

Standard deviation1994.739
Coefficient of variation (CV)0.38824166
Kurtosis97.053276
Mean5137.8798
Median Absolute Deviation (MAD)504.31
Skewness7.3699324
Sum9068357.8
Variance3978983.5
MonotonicityNot monotonic
2024-01-10T05:15:07.208658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4474.94 2
 
0.1%
5183.2 2
 
0.1%
5270.6 2
 
0.1%
15437.87 1
 
0.1%
4421.67 1
 
0.1%
4196.73 1
 
0.1%
4440.33 1
 
0.1%
4942.93 1
 
0.1%
4418.8 1
 
0.1%
4471.9 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
2001.39 1
0.1%
2804.75 1
0.1%
3193.1 1
0.1%
3203.74 1
0.1%
3242.75 1
0.1%
3272.73 1
0.1%
3290.91 1
0.1%
3344.33 1
0.1%
3351.44 1
0.1%
3374.49 1
0.1%
ValueCountFrequency (%)
42829.57 1
0.1%
29567.06 1
0.1%
23036.98 1
0.1%
21533.73 1
0.1%
17936.84 1
0.1%
17509.96 1
0.1%
17094.87 1
0.1%
16964.84 1
0.1%
16902.69 1
0.1%
16665.37 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6855.3469
Minimum3177.25
Maximum37235.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:07.389937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3177.25
5-th percentile4878.792
Q15720.63
median6345.15
Q37329.79
95-th percentile10205.468
Maximum37235.52
Range34058.27
Interquartile range (IQR)1609.16

Descriptive statistics

Standard deviation2131.305
Coefficient of variation (CV)0.31089673
Kurtosis35.198337
Mean6855.3469
Median Absolute Deviation (MAD)772.38
Skewness4.2257121
Sum12099687
Variance4542460.8
MonotonicityNot monotonic
2024-01-10T05:15:07.573213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6038.57 2
 
0.1%
5194.62 2
 
0.1%
6755.78 2
 
0.1%
7182.35 2
 
0.1%
16099.75 1
 
0.1%
5781.49 1
 
0.1%
6467.12 1
 
0.1%
6428.62 1
 
0.1%
7658.19 1
 
0.1%
7177.57 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
3177.25 1
0.1%
3723.4 1
0.1%
3896.41 1
0.1%
4161.19 1
0.1%
4185.83 1
0.1%
4200.22 1
0.1%
4226.38 1
0.1%
4229.39 1
0.1%
4232.63 1
0.1%
4274.4 1
0.1%
ValueCountFrequency (%)
37235.52 1
0.1%
25499.32 1
0.1%
22699.21 1
0.1%
22122.74 1
0.1%
19242.62 1
0.1%
19194.66 1
0.1%
18985.01 1
0.1%
18738.02 1
0.1%
18677.75 1
0.1%
18666.49 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8492.8577
Minimum4232.76
Maximum36895.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:07.744321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4232.76
5-th percentile5992.482
Q16987.55
median7687.38
Q39170.55
95-th percentile13335.874
Maximum36895.65
Range32662.89
Interquartile range (IQR)2183

Descriptive statistics

Standard deviation2617.6039
Coefficient of variation (CV)0.30821239
Kurtosis13.956458
Mean8492.8577
Median Absolute Deviation (MAD)899.53
Skewness2.7695098
Sum14989894
Variance6851850.4
MonotonicityNot monotonic
2024-01-10T05:15:07.933437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7884.9 2
 
0.1%
15079.97 1
 
0.1%
9256.52 1
 
0.1%
7022.46 1
 
0.1%
7599.63 1
 
0.1%
7344.41 1
 
0.1%
10043.16 1
 
0.1%
8731.74 1
 
0.1%
7654.16 1
 
0.1%
7497.04 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4232.76 1
0.1%
4429.75 1
0.1%
4645.64 1
0.1%
4649.4 1
0.1%
4752.63 1
0.1%
4861.76 1
0.1%
4868.22 1
0.1%
5070.73 1
0.1%
5147.55 1
0.1%
5149.98 1
0.1%
ValueCountFrequency (%)
36895.65 1
0.1%
26495.13 1
0.1%
24445.26 1
0.1%
24213.04 1
0.1%
22597.02 1
0.1%
22198.87 1
0.1%
20643.28 1
0.1%
20410.93 1
0.1%
20365.98 1
0.1%
19917.16 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10260.211
Minimum5133.22
Maximum36483.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:08.143631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5133.22
5-th percentile7531.346
Q18596.94
median9596.12
Q310999.39
95-th percentile15393.846
Maximum36483.93
Range31350.71
Interquartile range (IQR)2402.45

Descriptive statistics

Standard deviation2761.4603
Coefficient of variation (CV)0.26914263
Kurtosis11.508905
Mean10260.211
Median Absolute Deviation (MAD)1105.36
Skewness2.6195734
Sum18109273
Variance7625662.8
MonotonicityNot monotonic
2024-01-10T05:15:08.309850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9102.92 2
 
0.1%
13006.33 1
 
0.1%
9886.34 1
 
0.1%
9355.74 1
 
0.1%
9103.63 1
 
0.1%
11016.98 1
 
0.1%
10545.9 1
 
0.1%
9418.78 1
 
0.1%
8674.13 1
 
0.1%
8555.19 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
5133.22 1
0.1%
5579.25 1
0.1%
5801.08 1
0.1%
5933.06 1
0.1%
6049.16 1
0.1%
6277.98 1
0.1%
6396.78 1
0.1%
6426.72 1
0.1%
6519.51 1
0.1%
6575.7 1
0.1%
ValueCountFrequency (%)
36483.93 1
0.1%
27893.48 1
0.1%
26376.72 1
0.1%
26208.86 1
0.1%
26025.65 1
0.1%
25579.84 1
0.1%
25178.36 1
0.1%
25019.82 1
0.1%
24411.27 1
0.1%
24097.87 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10910.229
Minimum5327.29
Maximum34465.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:08.984601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5327.29
5-th percentile8216.858
Q19498.53
median10625.46
Q311689.81
95-th percentile14856.516
Maximum34465.67
Range29138.38
Interquartile range (IQR)2191.28

Descriptive statistics

Standard deviation2315.1152
Coefficient of variation (CV)0.21219676
Kurtosis13.904493
Mean10910.229
Median Absolute Deviation (MAD)1103.53
Skewness2.5734868
Sum19256554
Variance5359758.5
MonotonicityNot monotonic
2024-01-10T05:15:09.183675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11421.46 2
 
0.1%
10811.19 2
 
0.1%
10897.9 2
 
0.1%
13278.44 1
 
0.1%
10888.65 1
 
0.1%
10716.9 1
 
0.1%
11832.82 1
 
0.1%
11212.59 1
 
0.1%
10845.37 1
 
0.1%
10338.39 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
5327.29 1
0.1%
6142.19 1
0.1%
6328.4 1
0.1%
6586.69 1
0.1%
6600.74 1
0.1%
6962.37 1
0.1%
6976.28 1
0.1%
7115.8 1
0.1%
7140.75 1
0.1%
7151.06 1
0.1%
ValueCountFrequency (%)
34465.67 1
0.1%
27919.44 1
0.1%
26000.15 1
0.1%
25308.0 1
0.1%
25236.99 1
0.1%
24288.5 1
0.1%
23962.19 1
0.1%
23493.38 1
0.1%
23038.77 1
0.1%
22429.09 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12328.949
Minimum5146.44
Maximum28474.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:09.387605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5146.44
5-th percentile9357.294
Q110938.78
median12180.87
Q313270.06
95-th percentile16129.504
Maximum28474.24
Range23327.8
Interquartile range (IQR)2331.28

Descriptive statistics

Standard deviation2123.9688
Coefficient of variation (CV)0.17227493
Kurtosis4.7520502
Mean12328.949
Median Absolute Deviation (MAD)1164.23
Skewness1.2740589
Sum21760595
Variance4511243.5
MonotonicityNot monotonic
2024-01-10T05:15:09.557277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11526.94 2
 
0.1%
12700.11 2
 
0.1%
11461.8 2
 
0.1%
12573.2 1
 
0.1%
12415.41 1
 
0.1%
12070.23 1
 
0.1%
12813.41 1
 
0.1%
14172.93 1
 
0.1%
13018.54 1
 
0.1%
12827.96 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
5146.44 1
0.1%
6276.53 1
0.1%
6972.26 1
0.1%
7722.46 1
0.1%
7835.1 1
0.1%
8160.09 1
0.1%
8161.41 1
0.1%
8327.62 1
0.1%
8374.15 1
0.1%
8468.79 1
0.1%
ValueCountFrequency (%)
28474.24 1
0.1%
25868.31 1
0.1%
24473.74 1
0.1%
22180.77 1
0.1%
22152.24 1
0.1%
21765.11 1
0.1%
21674.99 1
0.1%
20613.18 1
0.1%
20527.4 1
0.1%
20458.59 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14067.546
Minimum6244.55
Maximum24756.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:09.744701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6244.55
5-th percentile10423.356
Q112685.07
median14048.97
Q315400.16
95-th percentile17776.102
Maximum24756.09
Range18511.54
Interquartile range (IQR)2715.09

Descriptive statistics

Standard deviation2176.1579
Coefficient of variation (CV)0.1546935
Kurtosis0.738998
Mean14067.546
Median Absolute Deviation (MAD)1358.7
Skewness0.26585717
Sum24829219
Variance4735663.2
MonotonicityNot monotonic
2024-01-10T05:15:09.918360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14192.43 2
 
0.1%
15290.42 2
 
0.1%
15828.55 2
 
0.1%
13239.92 2
 
0.1%
14550.81 1
 
0.1%
18464.88 1
 
0.1%
15173.07 1
 
0.1%
14082.4 1
 
0.1%
13579.59 1
 
0.1%
14675.53 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
6244.55 1
0.1%
8186.62 1
0.1%
8230.23 1
0.1%
8491.32 1
0.1%
8515.93 1
0.1%
8726.62 1
0.1%
8898.57 1
0.1%
8912.87 1
0.1%
8932.1 1
0.1%
9034.12 1
0.1%
ValueCountFrequency (%)
24756.09 1
0.1%
22061.63 1
0.1%
21874.27 1
0.1%
21745.76 1
0.1%
21653.64 1
0.1%
21555.64 1
0.1%
21389.73 1
0.1%
21018.96 1
0.1%
20859.96 1
0.1%
20684.23 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11765.6
Minimum4860.06
Maximum17346.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:10.112057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4860.06
5-th percentile8778.12
Q110593.98
median11814.29
Q312998.98
95-th percentile14474.424
Maximum17346.67
Range12486.61
Interquartile range (IQR)2405

Descriptive statistics

Standard deviation1746.9316
Coefficient of variation (CV)0.1484779
Kurtosis0.11264581
Mean11765.6
Median Absolute Deviation (MAD)1201.24
Skewness-0.11784531
Sum20766285
Variance3051770
MonotonicityNot monotonic
2024-01-10T05:15:10.281572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13830.04 2
 
0.1%
8704.18 1
 
0.1%
14880.14 1
 
0.1%
12350.54 1
 
0.1%
11859.42 1
 
0.1%
12639.68 1
 
0.1%
12647.01 1
 
0.1%
12619.93 1
 
0.1%
11486.92 1
 
0.1%
12323.96 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4860.06 1
0.1%
6403.71 1
0.1%
6611.56 1
0.1%
6647.23 1
0.1%
7002.88 1
0.1%
7187.6 1
0.1%
7244.14 1
0.1%
7259.73 1
0.1%
7325.69 1
0.1%
7386.51 1
0.1%
ValueCountFrequency (%)
17346.67 1
0.1%
17152.04 1
0.1%
16755.15 1
0.1%
16744.13 1
0.1%
16679.99 1
0.1%
16671.71 1
0.1%
16671.03 1
0.1%
16497.46 1
0.1%
16352.71 1
0.1%
16350.77 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9429.5694
Minimum3256.95
Maximum13903.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:10.466676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3256.95
5-th percentile6632.758
Q18474.62
median9497.8
Q310522.99
95-th percentile11818.008
Maximum13903.26
Range10646.31
Interquartile range (IQR)2048.37

Descriptive statistics

Standard deviation1586.4893
Coefficient of variation (CV)0.1682462
Kurtosis0.45819704
Mean9429.5694
Median Absolute Deviation (MAD)1025.19
Skewness-0.46282618
Sum16643190
Variance2516948.2
MonotonicityNot monotonic
2024-01-10T05:15:10.666217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9961.44 2
 
0.1%
4830.69 1
 
0.1%
9683.29 1
 
0.1%
10240.55 1
 
0.1%
10733.09 1
 
0.1%
10374.5 1
 
0.1%
9162.64 1
 
0.1%
9929.39 1
 
0.1%
10182.7 1
 
0.1%
9638.54 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
3256.95 1
0.1%
4136.8 1
0.1%
4206.76 1
0.1%
4377.92 1
0.1%
4559.69 1
0.1%
4626.88 1
0.1%
4744.45 1
0.1%
4765.44 1
0.1%
4793.73 1
0.1%
4830.69 1
0.1%
ValueCountFrequency (%)
13903.26 1
0.1%
13851.42 1
0.1%
13497.11 1
0.1%
13328.51 1
0.1%
13259.89 1
0.1%
13184.52 1
0.1%
13074.33 1
0.1%
13033.55 1
0.1%
13000.28 1
0.1%
12903.52 1
0.1%

여성 70세이상 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20275.203
Minimum5656.65
Maximum28870.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:15:10.864762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5656.65
5-th percentile11511.084
Q118994.45
median20767.07
Q322447.84
95-th percentile24837.818
Maximum28870.31
Range23213.66
Interquartile range (IQR)3453.39

Descriptive statistics

Standard deviation3609.351
Coefficient of variation (CV)0.178018
Kurtosis2.9454922
Mean20275.203
Median Absolute Deviation (MAD)1730.27
Skewness-1.4580165
Sum35785733
Variance13027414
MonotonicityNot monotonic
2024-01-10T05:15:11.044231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7310.31 1
 
0.1%
19309.56 1
 
0.1%
20587.1 1
 
0.1%
22281.17 1
 
0.1%
22886.44 1
 
0.1%
20185.67 1
 
0.1%
19260.2 1
 
0.1%
21798.64 1
 
0.1%
20956.13 1
 
0.1%
21410.41 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
5656.65 1
0.1%
6868.96 1
0.1%
7310.31 1
0.1%
7384.22 1
0.1%
7392.61 1
0.1%
7427.18 1
0.1%
7461.23 1
0.1%
7477.57 1
0.1%
7705.41 1
0.1%
7738.04 1
0.1%
ValueCountFrequency (%)
28870.31 1
0.1%
28280.24 1
0.1%
27820.12 1
0.1%
27517.46 1
0.1%
27140.07 1
0.1%
27010.96 1
0.1%
26984.02 1
0.1%
26920.22 1
0.1%
26814.37 1
0.1%
26801.36 1
0.1%

Sample

기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
020190101서천군12003.8310928.5517809.2914845.4314490.3512620.0412581.6511092.3311515.112027.511735.888302.835223.715119.9110989.0910836.1619864.219350.2115437.8716099.7515079.9713006.3313278.4413534.7512952.418704.184830.697310.31
120190102서천군5606.674535.8112119.7811060.8810311.1310493.3710835.5910068.4111234.911601.8611201.827518.385154.425456.075400.814480.4710345.799134.477825.058426.357928.067277.787978.578948.28898.576611.564206.766868.96
220190103서천군2777.13983.8111615.369845.489960.2210186.7910220.9510217.3211683.1611784.2311483.038969.575797.166915.892737.384151.7110104.398937.867364.997645.837787.27719.957862.48586.899267.237386.514877.27705.41
320190104서천군3489.266137.0212081.0910901.6610602.3611114.510678.410846.7611962.5812389.8511618.198694.175830.047093.733436.745679.8912052.159212.377946.338305.718728.778630.128738.519011.549149.537408.514793.737384.22
420190105서천군6488.637608.7714103.3610624.59779.6210476.6411524.7710556.5811978.4712644.4612128.039414.885836.056730.685505.037745.3614369.9411277.4610272.0211137.811472.1311128.0710375.1611126.8310577.688416.595180.057738.04
520190106서천군5395.526700.2611855.989757.259943.68935.0610561.799565.1310456.8410595.2611004.518130.825321.486031.445919.327241.9412939.6110281.619312.869368.310669.169472.59111.4510413.059574.317703.554744.457461.23
620190107서천군4727.243992.6310059.929727.019412.859391.610232.759773.9511466.9311366.6611869.288747.055737.726928.993468.294563.249324.629163.447345.987351.077705.147814.337745.898665.569512.087325.694559.698349.82
720190108서천군2964.193196.838668.919315.389057.1110068.6210072.5510127.2211832.7712017.3712181.238712.075751.316806.832907.294499.648380.917986.246951.687072.867734.557665.427915.518998.839553.517187.64862.618326.81
820190109서천군3285.43941.028729.839408.118831.839598.9810019.1310336.5411645.6712258.0311666.428559.135938.136850.243401.183980.819910.067478.916413.117185.537687.847451.037570.498558.189136.787002.884377.928462.39
920190110서천군3022.223985.199758.389233.599887.689730.1410133.0510408.4212303.9512354.4611889.238764.445807.97072.93752.44696.339545.858098.666681.167266.497898.338082.898393.668878.919499.547418.934626.888225.45
기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
175520231022서천군8663.685252.216054.286223.046172.598606.8711445.315723.1316220.5517902.1718778.715740.312644.0717204.077578.713886.14553.224394.714514.986990.479754.4311170.4611604.3713270.0615740.7113449.4610937.7920753.65
175620231023서천군5303.223539.065956.476228.218104.6710271.411762.2615639.3416640.7418578.918668.6515301.3212661.5218700.094817.933270.834822.433918.224221.416185.267680.679383.4210605.9411989.414371.413224.9311077.8822189.84
175720231024서천군5331.133656.896450.286402.397851.5310299.5112043.8915647.1816791.6718910.1719504.8415260.7312840.219283.435337.23394.035090.784049.654538.25983.047751.849897.4510630.911899.013992.613005.1110959.8223290.65
175820231025서천군4898.33751.245339.186119.727897.1110706.311909.4816028.0616959.3319023.2519470.8715743.0313454.9219920.535918.543454.175302.083988.724614.476420.297747.269890.2210809.6112225.3714406.6613665.2411651.3423931.24
175920231026서천군5009.03541.174879.276546.617608.6510371.3411683.315860.6617093.8818588.0519347.1815681.7512837.9819183.35218.373364.995257.914390.274417.216117.217471.719734.8710399.9111929.8814138.0313000.8110960.623377.67
176020231027서천군5705.754223.027364.387470.128232.6110378.3512463.1316028.516582.8318701.8819877.9415763.2813746.3620357.646357.564215.616076.675119.265143.496371.628486.6510514.111557.8913349.8615435.1114096.8311818.9425090.91
176120231028서천군11355.376316.298063.827651.547602.1910251.2114086.6719283.0819641.9321138.6421838.1417829.4814345.8519265.419068.755609.786137.35203.255191.218639.6111456.4114108.2414093.1915515.7918099.7615233.7512181.6623817.23
176220231029서천군8806.255124.366926.526534.586747.579017.7811370.3615687.716312.9417447.8418568.515714.712361.2117030.527341.944395.995411.824726.944802.917396.6510097.9711975.9311850.5113507.8316390.6513987.3910592.6620956.39
176320231030서천군4839.43487.836438.996694.617705.6710522.2211082.8915429.2715970.2317635.5818834.3615214.2312849.7820209.184941.533247.225184.373992.364482.46420.627965.949645.1810753.8412519.0114480.8513139.3311188.0324386.8
176420231031서천군5130.743647.666144.666486.088044.5410248.8111627.2114913.1115658.7817653.3518524.8215131.1712696.2519389.544955.143450.825921.613759.64435.176120.157661.859622.0710444.1612184.4214625.5813158.3111193.4423865.69