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=3125

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:54:26.465924
Analysis finished2024-01-09 19:54:26.816350
Duration0.35 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
2024-01-10T04:54:26.878185image/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
2024-01-10T04:54:27.014347image/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
청양군
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청양군 1765
100.0%

Length

2024-01-10T04:54:27.151966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:54:27.254626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청양군 1765
100.0%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2357.6967
Minimum729.84
Maximum14295.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:27.347622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum729.84
5-th percentile1142.934
Q11553.08
median2009.53
Q32794.54
95-th percentile4659.96
Maximum14295.63
Range13565.79
Interquartile range (IQR)1241.46

Descriptive statistics

Standard deviation1196.1354
Coefficient of variation (CV)0.50733216
Kurtosis9.0368445
Mean2357.6967
Median Absolute Deviation (MAD)547.61
Skewness2.1524359
Sum4161334.7
Variance1430739.8
MonotonicityNot monotonic
2024-01-10T04:54:27.467596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1599.88 2
 
0.1%
1453.47 2
 
0.1%
2570.11 2
 
0.1%
2183.73 2
 
0.1%
2070.89 1
 
0.1%
2265.66 1
 
0.1%
2083.3 1
 
0.1%
1586.11 1
 
0.1%
1699.67 1
 
0.1%
1554.63 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
729.84 1
0.1%
754.41 1
0.1%
755.64 1
0.1%
783.32 1
0.1%
791.92 1
0.1%
796.28 1
0.1%
823.86 1
0.1%
827.18 1
0.1%
843.41 1
0.1%
846.32 1
0.1%
ValueCountFrequency (%)
14295.63 1
0.1%
10058.59 1
0.1%
9227.11 1
0.1%
8538.58 1
0.1%
7885.48 1
0.1%
7639.07 1
0.1%
7386.12 1
0.1%
6999.09 1
0.1%
6911.2 1
0.1%
6883.67 1
0.1%
Distinct1756
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1872.2293
Minimum682.79
Maximum27492.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:27.601461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum682.79
5-th percentile998.838
Q11261.58
median1572.37
Q32106.12
95-th percentile3840.038
Maximum27492.59
Range26809.8
Interquartile range (IQR)844.54

Descriptive statistics

Standard deviation1213.3557
Coefficient of variation (CV)0.6480807
Kurtosis124.67333
Mean1872.2293
Median Absolute Deviation (MAD)377.77
Skewness7.7747493
Sum3304484.7
Variance1472232
MonotonicityNot monotonic
2024-01-10T04:54:27.732141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1394.05 2
 
0.1%
1122.34 2
 
0.1%
1864.25 2
 
0.1%
1175.07 2
 
0.1%
1570.4 2
 
0.1%
1039.32 2
 
0.1%
2081.99 2
 
0.1%
1558.34 2
 
0.1%
1515.44 2
 
0.1%
1664.61 1
 
0.1%
Other values (1746) 1746
98.9%
ValueCountFrequency (%)
682.79 1
0.1%
771.35 1
0.1%
787.61 1
0.1%
808.99 1
0.1%
827.51 1
0.1%
833.84 1
0.1%
837.14 1
0.1%
837.57 1
0.1%
843.06 1
0.1%
848.0 1
0.1%
ValueCountFrequency (%)
27492.59 1
0.1%
13619.61 1
0.1%
11714.8 1
0.1%
10377.83 1
0.1%
8654.52 1
0.1%
8318.27 1
0.1%
8230.69 1
0.1%
8157.48 1
0.1%
8077.97 1
0.1%
7476.1 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3714.2192
Minimum1504.5
Maximum71080.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:27.861795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1504.5
5-th percentile2303.7
Q12863.66
median3410
Q33986.25
95-th percentile5701.568
Maximum71080.51
Range69576.01
Interquartile range (IQR)1122.59

Descriptive statistics

Standard deviation2300.049
Coefficient of variation (CV)0.61925504
Kurtosis443.22571
Mean3714.2192
Median Absolute Deviation (MAD)560.85
Skewness16.919601
Sum6555596.9
Variance5290225.3
MonotonicityNot monotonic
2024-01-10T04:54:28.010253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2518.98 2
 
0.1%
3141.65 2
 
0.1%
3352.03 2
 
0.1%
3690.62 2
 
0.1%
12720.8 1
 
0.1%
4877.75 1
 
0.1%
3417.4 1
 
0.1%
3680.65 1
 
0.1%
3911.82 1
 
0.1%
4536.69 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
1504.5 1
0.1%
1691.98 1
0.1%
1795.53 1
0.1%
1864.15 1
0.1%
1891.11 1
0.1%
1900.34 1
0.1%
1906.91 1
0.1%
1909.43 1
0.1%
1934.55 1
0.1%
1934.61 1
0.1%
ValueCountFrequency (%)
71080.51 1
0.1%
35047.64 1
0.1%
24910.94 1
0.1%
22198.46 1
0.1%
14226.92 1
0.1%
13025.24 1
0.1%
12720.8 1
0.1%
11968.23 1
0.1%
11494.5 1
0.1%
11317.41 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5046.4911
Minimum2466.25
Maximum41812.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:28.175994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2466.25
5-th percentile3525.674
Q14218.41
median4885.8
Q35623.29
95-th percentile6893.856
Maximum41812.89
Range39346.64
Interquartile range (IQR)1404.88

Descriptive statistics

Standard deviation1483.7348
Coefficient of variation (CV)0.29401316
Kurtosis226.91077
Mean5046.4911
Median Absolute Deviation (MAD)696.92
Skewness10.241451
Sum8907056.8
Variance2201468.9
MonotonicityNot monotonic
2024-01-10T04:54:28.325208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4188.88 2
 
0.1%
4109.14 2
 
0.1%
4497.26 2
 
0.1%
4578.02 2
 
0.1%
8081.81 1
 
0.1%
4734.75 1
 
0.1%
5569.71 1
 
0.1%
6416.57 1
 
0.1%
6536.07 1
 
0.1%
5817.06 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2466.25 1
0.1%
2820.5 1
0.1%
2868.38 1
0.1%
2971.77 1
0.1%
2982.39 1
0.1%
2992.94 1
0.1%
2998.52 1
0.1%
3001.84 1
0.1%
3070.2 1
0.1%
3073.71 1
0.1%
ValueCountFrequency (%)
41812.89 1
0.1%
23277.23 1
0.1%
12817.64 1
0.1%
12080.29 1
0.1%
11749.83 1
0.1%
11246.22 1
0.1%
11020.81 1
0.1%
10429.8 1
0.1%
10141.77 1
0.1%
10122.43 1
0.1%
Distinct1754
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4218.6977
Minimum2327.4
Maximum21612.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:28.482796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2327.4
5-th percentile3238.574
Q13835.36
median4206.36
Q34529.41
95-th percentile5054.368
Maximum21612.45
Range19285.05
Interquartile range (IQR)694.05

Descriptive statistics

Standard deviation800.49673
Coefficient of variation (CV)0.18974973
Kurtosis139.50196
Mean4218.6977
Median Absolute Deviation (MAD)348.28
Skewness7.5074286
Sum7446001.5
Variance640795.02
MonotonicityNot monotonic
2024-01-10T04:54:28.836356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4098.61 3
 
0.2%
4210.27 2
 
0.1%
4315.4 2
 
0.1%
4162.15 2
 
0.1%
4420.13 2
 
0.1%
4194.2 2
 
0.1%
4173.46 2
 
0.1%
4754.86 2
 
0.1%
4278.37 2
 
0.1%
4062.84 2
 
0.1%
Other values (1744) 1744
98.8%
ValueCountFrequency (%)
2327.4 1
0.1%
2333.8 1
0.1%
2350.3 1
0.1%
2495.79 1
0.1%
2574.5 1
0.1%
2579.16 1
0.1%
2592.0 1
0.1%
2600.88 1
0.1%
2621.28 1
0.1%
2641.31 1
0.1%
ValueCountFrequency (%)
21612.45 1
0.1%
13444.53 1
0.1%
9634.53 1
0.1%
9343.2 1
0.1%
8964.48 1
0.1%
8351.55 1
0.1%
8185.09 1
0.1%
7923.17 1
0.1%
7671.08 1
0.1%
7441.51 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4865.6334
Minimum2833.65
Maximum17767.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:28.952507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2833.65
5-th percentile3745.016
Q14363.83
median4819.31
Q35320.41
95-th percentile5872.19
Maximum17767.77
Range14934.12
Interquartile range (IQR)956.58

Descriptive statistics

Standard deviation808.66163
Coefficient of variation (CV)0.16619863
Kurtosis41.767244
Mean4865.6334
Median Absolute Deviation (MAD)472.08
Skewness3.3254111
Sum8587843
Variance653933.64
MonotonicityNot monotonic
2024-01-10T04:54:29.078603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4505.57 2
 
0.1%
5558.2 2
 
0.1%
5168.68 2
 
0.1%
5359.66 2
 
0.1%
4436.07 2
 
0.1%
4253.79 2
 
0.1%
5329.24 1
 
0.1%
4923.27 1
 
0.1%
5101.16 1
 
0.1%
5432.51 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
2833.65 1
0.1%
2917.15 1
0.1%
2926.2 1
0.1%
2928.9 1
0.1%
2982.29 1
0.1%
2986.85 1
0.1%
3008.9 1
0.1%
3040.0 1
0.1%
3056.87 1
0.1%
3075.72 1
0.1%
ValueCountFrequency (%)
17767.77 1
0.1%
10609.82 1
0.1%
10559.73 1
0.1%
10331.88 1
0.1%
9169.83 1
0.1%
9111.01 1
0.1%
9071.25 1
0.1%
9020.83 1
0.1%
8800.56 1
0.1%
8113.86 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5806.2731
Minimum2951.47
Maximum15554.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:29.205691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2951.47
5-th percentile4586.42
Q15361.86
median5812.95
Q36196.7
95-th percentile6938.814
Maximum15554.77
Range12603.3
Interquartile range (IQR)834.84

Descriptive statistics

Standard deviation832.92591
Coefficient of variation (CV)0.14345276
Kurtosis17.110357
Mean5806.2731
Median Absolute Deviation (MAD)404.25
Skewness1.9996186
Sum10248072
Variance693765.57
MonotonicityNot monotonic
2024-01-10T04:54:29.330793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5345.3 2
 
0.1%
5794.06 2
 
0.1%
6214.95 2
 
0.1%
5518.36 2
 
0.1%
6139.88 2
 
0.1%
6165.17 1
 
0.1%
5284.87 1
 
0.1%
4770.4 1
 
0.1%
6037.8 1
 
0.1%
6516.88 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
2951.47 1
0.1%
3461.11 1
0.1%
3505.54 1
0.1%
3520.04 1
0.1%
3526.38 1
0.1%
3534.72 1
0.1%
3542.52 1
0.1%
3543.35 1
0.1%
3577.28 1
0.1%
3590.87 1
0.1%
ValueCountFrequency (%)
15554.77 1
0.1%
12154.91 1
0.1%
11322.46 1
0.1%
10932.72 1
0.1%
10660.75 1
0.1%
10626.5 1
0.1%
10453.97 1
0.1%
10329.06 1
0.1%
9730.88 1
0.1%
9544.25 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7210.0003
Minimum2857.22
Maximum15760.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:29.464273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2857.22
5-th percentile5103.204
Q16617.11
median7245.83
Q37850.31
95-th percentile8839.382
Maximum15760.78
Range12903.56
Interquartile range (IQR)1233.2

Descriptive statistics

Standard deviation1181.9702
Coefficient of variation (CV)0.16393484
Kurtosis5.5303706
Mean7210.0003
Median Absolute Deviation (MAD)618.94
Skewness0.71020314
Sum12725650
Variance1397053.6
MonotonicityNot monotonic
2024-01-10T04:54:29.599577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7075.12 2
 
0.1%
6530.18 2
 
0.1%
7771.91 2
 
0.1%
6568.95 1
 
0.1%
7690.95 1
 
0.1%
8027.68 1
 
0.1%
7995.09 1
 
0.1%
6997.0 1
 
0.1%
6561.18 1
 
0.1%
7888.63 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
2857.22 1
0.1%
3716.16 1
0.1%
3983.9 1
0.1%
4187.84 1
0.1%
4220.11 1
0.1%
4226.76 1
0.1%
4255.17 1
0.1%
4255.78 1
0.1%
4267.88 1
0.1%
4286.02 1
0.1%
ValueCountFrequency (%)
15760.78 1
0.1%
15248.1 1
0.1%
14491.63 1
0.1%
13909.16 1
0.1%
13889.98 1
0.1%
12537.37 1
0.1%
12314.11 1
0.1%
12006.5 1
0.1%
11991.96 1
0.1%
11778.52 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8058.4779
Minimum3430.53
Maximum16540.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:29.736899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3430.53
5-th percentile5580.456
Q17353.93
median8112.04
Q38870.53
95-th percentile9843.854
Maximum16540.78
Range13110.25
Interquartile range (IQR)1516.6

Descriptive statistics

Standard deviation1330.9653
Coefficient of variation (CV)0.16516336
Kurtosis3.5883586
Mean8058.4779
Median Absolute Deviation (MAD)758.49
Skewness0.3950825
Sum14223214
Variance1771468.6
MonotonicityNot monotonic
2024-01-10T04:54:29.902503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6547.13 2
 
0.1%
7528.69 2
 
0.1%
7898.0 2
 
0.1%
9291.83 2
 
0.1%
5677.78 1
 
0.1%
7189.67 1
 
0.1%
8638.98 1
 
0.1%
9431.63 1
 
0.1%
9615.49 1
 
0.1%
7802.91 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
3430.53 1
0.1%
4336.4 1
0.1%
4430.34 1
0.1%
4586.42 1
0.1%
4627.31 1
0.1%
4651.06 1
0.1%
4718.23 1
0.1%
4787.96 1
0.1%
4823.46 1
0.1%
4847.46 1
0.1%
ValueCountFrequency (%)
16540.78 1
0.1%
15693.45 1
0.1%
15585.75 1
0.1%
15444.43 1
0.1%
15247.3 1
0.1%
13922.89 1
0.1%
13541.52 1
0.1%
13480.13 1
0.1%
13233.12 1
0.1%
13054.48 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9015.6138
Minimum3620.1
Maximum16114.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:30.042529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3620.1
5-th percentile5885.602
Q18297.79
median9160.41
Q39958.85
95-th percentile10922.526
Maximum16114.97
Range12494.87
Interquartile range (IQR)1661.06

Descriptive statistics

Standard deviation1483.1836
Coefficient of variation (CV)0.16451277
Kurtosis1.7630686
Mean9015.6138
Median Absolute Deviation (MAD)814.08
Skewness-0.29470139
Sum15912558
Variance2199833.6
MonotonicityNot monotonic
2024-01-10T04:54:30.178107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9613.6 2
 
0.1%
10520.32 2
 
0.1%
9255.05 2
 
0.1%
5259.42 1
 
0.1%
8366.11 1
 
0.1%
9803.34 1
 
0.1%
9521.02 1
 
0.1%
10121.77 1
 
0.1%
10115.67 1
 
0.1%
8970.37 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
3620.1 1
0.1%
4239.97 1
0.1%
4666.29 1
0.1%
4675.04 1
0.1%
4694.15 1
0.1%
4731.91 1
0.1%
4890.05 1
0.1%
4897.17 1
0.1%
4968.01 1
0.1%
5016.67 1
0.1%
ValueCountFrequency (%)
16114.97 1
0.1%
15836.43 1
0.1%
15803.85 1
0.1%
15197.4 1
0.1%
15112.17 1
0.1%
14793.68 1
0.1%
14162.04 1
0.1%
14128.0 1
0.1%
13740.82 1
0.1%
13543.02 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9133.3699
Minimum3165.92
Maximum16169.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:30.325596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3165.92
5-th percentile5917.088
Q18470.02
median9311.86
Q310089.38
95-th percentile10991.808
Maximum16169.04
Range13003.12
Interquartile range (IQR)1619.36

Descriptive statistics

Standard deviation1479.412
Coefficient of variation (CV)0.16197876
Kurtosis1.6137448
Mean9133.3699
Median Absolute Deviation (MAD)800.93
Skewness-0.66745761
Sum16120398
Variance2188659.7
MonotonicityNot monotonic
2024-01-10T04:54:30.457954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9313.57 2
 
0.1%
9024.93 2
 
0.1%
9230.76 2
 
0.1%
10680.62 2
 
0.1%
9912.42 2
 
0.1%
8698.33 1
 
0.1%
10381.18 1
 
0.1%
9388.73 1
 
0.1%
9037.99 1
 
0.1%
10606.46 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
3165.92 1
0.1%
3989.84 1
0.1%
4621.41 1
0.1%
4660.82 1
0.1%
4679.73 1
0.1%
4719.96 1
0.1%
4736.75 1
0.1%
4742.08 1
0.1%
4758.31 1
0.1%
4767.57 1
0.1%
ValueCountFrequency (%)
16169.04 1
0.1%
16139.63 1
0.1%
14266.68 1
0.1%
13900.08 1
0.1%
13664.64 1
0.1%
13614.64 1
0.1%
13527.09 1
0.1%
13433.77 1
0.1%
12929.02 1
0.1%
12888.64 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7286.1122
Minimum2289.09
Maximum12819.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:30.587399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2289.09
5-th percentile4694.792
Q16729.45
median7383.87
Q38080.9
95-th percentile8815.02
Maximum12819.73
Range10530.64
Interquartile range (IQR)1351.45

Descriptive statistics

Standard deviation1192.8627
Coefficient of variation (CV)0.16371731
Kurtosis1.7961899
Mean7286.1122
Median Absolute Deviation (MAD)682.23
Skewness-0.8227132
Sum12859988
Variance1422921.4
MonotonicityNot monotonic
2024-01-10T04:54:30.729314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7011.67 2
 
0.1%
8020.61 2
 
0.1%
6971.03 2
 
0.1%
7573.76 2
 
0.1%
8487.28 1
 
0.1%
8237.42 1
 
0.1%
8613.03 1
 
0.1%
8855.49 1
 
0.1%
8062.68 1
 
0.1%
7417.66 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2289.09 1
0.1%
2935.29 1
0.1%
3093.14 1
0.1%
3276.96 1
0.1%
3278.47 1
0.1%
3364.96 1
0.1%
3372.95 1
0.1%
3388.67 1
0.1%
3458.89 1
0.1%
3478.6 1
0.1%
ValueCountFrequency (%)
12819.73 1
0.1%
11711.05 1
0.1%
11596.23 1
0.1%
10962.01 1
0.1%
10864.92 1
0.1%
10430.4 1
0.1%
10291.48 1
0.1%
10021.49 1
0.1%
9931.71 1
0.1%
9896.98 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5395.2946
Minimum1778.73
Maximum9799.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:30.878342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1778.73
5-th percentile3443.53
Q14749.02
median5455.18
Q36173.98
95-th percentile6881.126
Maximum9799.26
Range8020.53
Interquartile range (IQR)1424.96

Descriptive statistics

Standard deviation1040.0276
Coefficient of variation (CV)0.19276568
Kurtosis0.49430617
Mean5395.2946
Median Absolute Deviation (MAD)713.34
Skewness-0.37260479
Sum9522695
Variance1081657.5
MonotonicityNot monotonic
2024-01-10T04:54:31.067915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6266.4 2
 
0.1%
4394.24 2
 
0.1%
5315.37 2
 
0.1%
4387.28 2
 
0.1%
2388.99 1
 
0.1%
6371.11 1
 
0.1%
6766.46 1
 
0.1%
6282.56 1
 
0.1%
6264.28 1
 
0.1%
6601.47 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
1778.73 1
0.1%
1996.19 1
0.1%
2161.43 1
0.1%
2267.51 1
0.1%
2334.68 1
0.1%
2377.04 1
0.1%
2388.99 1
0.1%
2427.68 1
0.1%
2480.22 1
0.1%
2504.94 1
0.1%
ValueCountFrequency (%)
9799.26 1
0.1%
9489.88 1
0.1%
8958.61 1
0.1%
8777.9 1
0.1%
8570.74 1
0.1%
8227.5 1
0.1%
8012.6 1
0.1%
7825.12 1
0.1%
7757.47 1
0.1%
7659.89 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8543.3804
Minimum2459.26
Maximum14151.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:31.259122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2459.26
5-th percentile5064.926
Q17876.62
median8744.13
Q39533.52
95-th percentile10644.408
Maximum14151.01
Range11691.75
Interquartile range (IQR)1656.9

Descriptive statistics

Standard deviation1550.3042
Coefficient of variation (CV)0.18146263
Kurtosis1.9356945
Mean8543.3804
Median Absolute Deviation (MAD)816.48
Skewness-1.0031085
Sum15079066
Variance2403443.2
MonotonicityNot monotonic
2024-01-10T04:54:31.392541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10696.36 2
 
0.1%
9670.26 2
 
0.1%
9510.27 2
 
0.1%
8102.16 2
 
0.1%
2993.36 1
 
0.1%
7870.1 1
 
0.1%
9830.56 1
 
0.1%
9486.28 1
 
0.1%
8110.01 1
 
0.1%
9517.43 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2459.26 1
0.1%
2683.01 1
0.1%
2870.37 1
0.1%
2993.36 1
0.1%
3193.0 1
0.1%
3194.3 1
0.1%
3263.27 1
0.1%
3292.08 1
0.1%
3358.55 1
0.1%
3506.6 1
0.1%
ValueCountFrequency (%)
14151.01 1
0.1%
13430.15 1
0.1%
13092.91 1
0.1%
12586.56 1
0.1%
12568.84 1
0.1%
12423.39 1
0.1%
12316.87 1
0.1%
12014.99 1
0.1%
11929.66 1
0.1%
11849.9 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2361.3498
Minimum663.04
Maximum13068.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:31.513185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum663.04
5-th percentile1125.024
Q11589.28
median2090.01
Q32747.2
95-th percentile4536.456
Maximum13068.36
Range12405.32
Interquartile range (IQR)1157.92

Descriptive statistics

Standard deviation1126.7021
Coefficient of variation (CV)0.47714324
Kurtosis7.4165053
Mean2361.3498
Median Absolute Deviation (MAD)554.24
Skewness1.943616
Sum4167782.4
Variance1269457.6
MonotonicityNot monotonic
2024-01-10T04:54:31.624171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1835.0 2
 
0.1%
2476.26 2
 
0.1%
1338.21 2
 
0.1%
902.08 2
 
0.1%
1449.02 2
 
0.1%
1772.42 1
 
0.1%
1969.51 1
 
0.1%
1916.84 1
 
0.1%
1948.58 1
 
0.1%
2042.47 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
663.04 1
0.1%
723.84 1
0.1%
730.86 1
0.1%
733.85 1
0.1%
755.95 1
0.1%
767.99 1
0.1%
824.01 1
0.1%
839.19 1
0.1%
845.71 1
0.1%
853.74 1
0.1%
ValueCountFrequency (%)
13068.36 1
0.1%
8780.15 1
0.1%
8008.31 1
0.1%
7989.88 1
0.1%
7939.34 1
0.1%
7536.08 1
0.1%
7246.08 1
0.1%
7185.02 1
0.1%
7106.06 1
0.1%
6713.03 1
0.1%
Distinct1756
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1708.4749
Minimum682.16
Maximum27144.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:31.736910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum682.16
5-th percentile887.142
Q11122.43
median1437.05
Q31888.87
95-th percentile3383.208
Maximum27144.72
Range26462.56
Interquartile range (IQR)766.44

Descriptive statistics

Standard deviation1205.0457
Coefficient of variation (CV)0.70533411
Kurtosis133.45883
Mean1708.4749
Median Absolute Deviation (MAD)355.14
Skewness8.3785155
Sum3015458.3
Variance1452135
MonotonicityNot monotonic
2024-01-10T04:54:31.932048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1740.35 2
 
0.1%
1421.99 2
 
0.1%
1110.94 2
 
0.1%
1418.7 2
 
0.1%
1451.67 2
 
0.1%
1338.83 2
 
0.1%
1523.58 2
 
0.1%
1077.51 2
 
0.1%
1272.02 2
 
0.1%
1327.82 1
 
0.1%
Other values (1746) 1746
98.9%
ValueCountFrequency (%)
682.16 1
0.1%
711.62 1
0.1%
724.09 1
0.1%
728.36 1
0.1%
730.45 1
0.1%
745.54 1
0.1%
748.46 1
0.1%
759.47 1
0.1%
772.73 1
0.1%
773.15 1
0.1%
ValueCountFrequency (%)
27144.72 1
0.1%
16243.79 1
0.1%
13076.22 1
0.1%
10135.72 1
0.1%
8640.25 1
0.1%
8276.18 1
0.1%
8192.35 1
0.1%
7942.05 1
0.1%
7756.11 1
0.1%
7116.9 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3018.6057
Minimum1462.38
Maximum41240.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:32.062712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1462.38
5-th percentile1938.896
Q12456.35
median2876.35
Q33276.26
95-th percentile4390.35
Maximum41240.57
Range39778.19
Interquartile range (IQR)819.91

Descriptive statistics

Standard deviation1420.3944
Coefficient of variation (CV)0.47054652
Kurtosis322.32666
Mean3018.6057
Median Absolute Deviation (MAD)409.73
Skewness13.873158
Sum5327839.1
Variance2017520.3
MonotonicityNot monotonic
2024-01-10T04:54:32.223460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3421.29 2
 
0.1%
3133.1 2
 
0.1%
3141.04 2
 
0.1%
3364.44 2
 
0.1%
2818.22 2
 
0.1%
3251.66 2
 
0.1%
2735.99 2
 
0.1%
3532.17 1
 
0.1%
3030.12 1
 
0.1%
3190.13 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
1462.38 1
0.1%
1500.73 1
0.1%
1596.33 1
0.1%
1620.28 1
0.1%
1631.1 1
0.1%
1631.86 1
0.1%
1646.62 1
0.1%
1654.5 1
0.1%
1654.53 1
0.1%
1659.76 1
0.1%
ValueCountFrequency (%)
41240.57 1
0.1%
21453.84 1
0.1%
15963.49 1
0.1%
15306.41 1
0.1%
13775.61 1
0.1%
10408.21 1
0.1%
8821.26 1
0.1%
8729.09 1
0.1%
8685.66 1
0.1%
8434.16 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3298.8939
Minimum1553.46
Maximum35935.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:32.401244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1553.46
5-th percentile2392.842
Q12821.99
median3146.99
Q33532.32
95-th percentile4435.132
Maximum35935.24
Range34381.78
Interquartile range (IQR)710.33

Descriptive statistics

Standard deviation1196.8598
Coefficient of variation (CV)0.36280639
Kurtosis337.5219
Mean3298.8939
Median Absolute Deviation (MAD)351.97
Skewness14.087927
Sum5822547.7
Variance1432473.3
MonotonicityNot monotonic
2024-01-10T04:54:32.886236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2970.62 2
 
0.1%
3061.54 2
 
0.1%
3619.51 2
 
0.1%
3553.48 2
 
0.1%
2624.87 2
 
0.1%
2798.54 2
 
0.1%
3620.98 2
 
0.1%
3142.47 1
 
0.1%
3068.28 1
 
0.1%
2846.51 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
1553.46 1
0.1%
1896.0 1
0.1%
1970.7 1
0.1%
2017.6 1
0.1%
2037.18 1
0.1%
2053.06 1
0.1%
2063.51 1
0.1%
2064.23 1
0.1%
2065.32 1
0.1%
2070.4 1
0.1%
ValueCountFrequency (%)
35935.24 1
0.1%
19796.92 1
0.1%
11966.62 1
0.1%
11838.97 1
0.1%
9093.1 1
0.1%
8367.14 1
0.1%
8352.04 1
0.1%
8212.81 1
0.1%
7929.72 1
0.1%
7621.78 1
0.1%
Distinct1754
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2883.7903
Minimum1304.04
Maximum21575.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:33.034782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1304.04
5-th percentile2174.068
Q12485.17
median2785.83
Q33069.55
95-th percentile3862.188
Maximum21575.65
Range20271.61
Interquartile range (IQR)584.38

Descriptive statistics

Standard deviation834.08768
Coefficient of variation (CV)0.28923313
Kurtosis157.28301
Mean2883.7903
Median Absolute Deviation (MAD)290.51
Skewness8.7536305
Sum5089889.8
Variance695702.25
MonotonicityNot monotonic
2024-01-10T04:54:33.172458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2787.29 2
 
0.1%
2837.9 2
 
0.1%
3058.05 2
 
0.1%
2194.47 2
 
0.1%
2971.11 2
 
0.1%
2599.6 2
 
0.1%
3118.34 2
 
0.1%
2517.41 2
 
0.1%
3018.79 2
 
0.1%
3135.23 2
 
0.1%
Other values (1744) 1745
98.9%
ValueCountFrequency (%)
1304.04 1
0.1%
1782.36 1
0.1%
1798.38 1
0.1%
1844.92 1
0.1%
1855.76 1
0.1%
1897.98 1
0.1%
1909.41 1
0.1%
1916.52 1
0.1%
1938.23 1
0.1%
1943.57 1
0.1%
ValueCountFrequency (%)
21575.65 1
0.1%
12410.21 1
0.1%
8718.6 1
0.1%
7935.72 1
0.1%
7285.94 1
0.1%
7267.6 1
0.1%
7219.57 1
0.1%
6736.61 1
0.1%
6716.21 1
0.1%
6564.22 1
0.1%
Distinct1753
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3175.819
Minimum1561.86
Maximum19340.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:33.303238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1561.86
5-th percentile2302.504
Q12649.62
median2996.26
Q33389.99
95-th percentile4644.424
Maximum19340.6
Range17778.74
Interquartile range (IQR)740.37

Descriptive statistics

Standard deviation939.82819
Coefficient of variation (CV)0.29593254
Kurtosis58.146567
Mean3175.819
Median Absolute Deviation (MAD)360.97
Skewness5.0014278
Sum5605320.5
Variance883277.03
MonotonicityNot monotonic
2024-01-10T04:54:33.417944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3140.39 2
 
0.1%
2832.99 2
 
0.1%
2841.25 2
 
0.1%
2688.87 2
 
0.1%
3005.53 2
 
0.1%
3194.61 2
 
0.1%
2860.67 2
 
0.1%
2733.26 2
 
0.1%
3014.1 2
 
0.1%
3232.02 2
 
0.1%
Other values (1743) 1745
98.9%
ValueCountFrequency (%)
1561.86 1
0.1%
1848.05 1
0.1%
1896.7 1
0.1%
1949.92 1
0.1%
1952.6 1
0.1%
1972.82 1
0.1%
1988.18 1
0.1%
2001.68 1
0.1%
2004.55 1
0.1%
2013.53 1
0.1%
ValueCountFrequency (%)
19340.6 1
0.1%
11620.92 1
0.1%
9102.86 1
0.1%
8815.97 1
0.1%
8501.19 1
0.1%
8249.26 1
0.1%
8149.34 1
0.1%
7881.2 1
0.1%
7719.24 1
0.1%
7469.38 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3681.9102
Minimum1933.9
Maximum20570.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:33.539482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1933.9
5-th percentile2614.166
Q13015.58
median3380.75
Q33965.95
95-th percentile5774.914
Maximum20570.21
Range18636.31
Interquartile range (IQR)950.37

Descriptive statistics

Standard deviation1159.8454
Coefficient of variation (CV)0.31501186
Kurtosis32.173422
Mean3681.9102
Median Absolute Deviation (MAD)423.19
Skewness3.7928599
Sum6498571.6
Variance1345241.3
MonotonicityNot monotonic
2024-01-10T04:54:33.670429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3564.7 2
 
0.1%
3149.77 2
 
0.1%
3105.13 2
 
0.1%
3041.67 2
 
0.1%
3623.41 2
 
0.1%
3537.01 2
 
0.1%
3280.44 1
 
0.1%
3023.63 1
 
0.1%
2937.51 1
 
0.1%
3116.5 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
1933.9 1
0.1%
2050.21 1
0.1%
2219.63 1
0.1%
2274.2 1
0.1%
2338.76 1
0.1%
2346.42 1
0.1%
2347.16 1
0.1%
2359.98 1
0.1%
2373.14 1
0.1%
2396.56 1
0.1%
ValueCountFrequency (%)
20570.21 1
0.1%
12544.17 1
0.1%
10816.05 1
0.1%
10781.03 1
0.1%
10345.77 1
0.1%
10071.32 1
0.1%
9614.42 1
0.1%
9334.84 1
0.1%
9081.9 1
0.1%
9042.68 1
0.1%
Distinct1754
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4658.9464
Minimum1986.89
Maximum19213.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:33.803359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1986.89
5-th percentile3348.254
Q13907.83
median4487.64
Q35010.15
95-th percentile6710.224
Maximum19213.97
Range17227.08
Interquartile range (IQR)1102.32

Descriptive statistics

Standard deviation1191.6474
Coefficient of variation (CV)0.25577615
Kurtosis19.290438
Mean4658.9464
Median Absolute Deviation (MAD)557.36
Skewness2.9251577
Sum8223040.4
Variance1420023.5
MonotonicityNot monotonic
2024-01-10T04:54:33.927369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3849.24 2
 
0.1%
5013.58 2
 
0.1%
4409.95 2
 
0.1%
4405.39 2
 
0.1%
5198.47 2
 
0.1%
4035.82 2
 
0.1%
4456.72 2
 
0.1%
4570.65 2
 
0.1%
4426.19 2
 
0.1%
4390.74 2
 
0.1%
Other values (1744) 1745
98.9%
ValueCountFrequency (%)
1986.89 1
0.1%
2532.88 1
0.1%
2546.42 1
0.1%
2624.21 1
0.1%
2734.86 1
0.1%
2821.73 1
0.1%
2830.61 1
0.1%
2854.06 1
0.1%
2861.25 1
0.1%
2893.34 1
0.1%
ValueCountFrequency (%)
19213.97 1
0.1%
12754.83 1
0.1%
12710.46 1
0.1%
11875.94 1
0.1%
11373.06 1
0.1%
11299.07 1
0.1%
10926.96 1
0.1%
10783.87 1
0.1%
10719.03 1
0.1%
10646.42 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5190.0946
Minimum2127.31
Maximum17861.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:34.055153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2127.31
5-th percentile3731.854
Q14509.41
median5059.3
Q35611.47
95-th percentile7128.15
Maximum17861.22
Range15733.91
Interquartile range (IQR)1102.06

Descriptive statistics

Standard deviation1153.0143
Coefficient of variation (CV)0.22215671
Kurtosis14.08531
Mean5190.0946
Median Absolute Deviation (MAD)551.68
Skewness2.3474197
Sum9160517
Variance1329442
MonotonicityNot monotonic
2024-01-10T04:54:34.209535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4162.42 2
 
0.1%
4223.76 2
 
0.1%
5451.45 2
 
0.1%
5212.94 2
 
0.1%
4469.64 2
 
0.1%
4817.54 1
 
0.1%
4838.68 1
 
0.1%
5101.91 1
 
0.1%
5468.59 1
 
0.1%
4739.68 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
2127.31 1
0.1%
2878.14 1
0.1%
2943.18 1
0.1%
2996.64 1
0.1%
3061.39 1
0.1%
3138.64 1
0.1%
3168.07 1
0.1%
3169.75 1
0.1%
3185.9 1
0.1%
3187.63 1
0.1%
ValueCountFrequency (%)
17861.22 1
0.1%
13627.62 1
0.1%
12523.12 1
0.1%
11854.07 1
0.1%
11791.36 1
0.1%
11610.14 1
0.1%
10766.81 1
0.1%
10760.68 1
0.1%
10459.05 1
0.1%
10331.78 1
0.1%
Distinct1756
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6458.4865
Minimum2361.29
Maximum15739.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:34.380792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2361.29
5-th percentile4728.808
Q15858.02
median6394.95
Q37005.77
95-th percentile8391.808
Maximum15739.97
Range13378.68
Interquartile range (IQR)1147.75

Descriptive statistics

Standard deviation1146.6851
Coefficient of variation (CV)0.17754703
Kurtosis5.0042856
Mean6458.4865
Median Absolute Deviation (MAD)573.36
Skewness0.87870764
Sum11399229
Variance1314886.7
MonotonicityNot monotonic
2024-01-10T04:54:34.503345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6125.59 2
 
0.1%
6034.35 2
 
0.1%
6257.28 2
 
0.1%
7401.09 2
 
0.1%
6812.51 2
 
0.1%
6183.71 2
 
0.1%
6356.26 2
 
0.1%
6339.59 2
 
0.1%
5929.11 2
 
0.1%
5950.05 1
 
0.1%
Other values (1746) 1746
98.9%
ValueCountFrequency (%)
2361.29 1
0.1%
2780.12 1
0.1%
3154.82 1
0.1%
3320.9 1
0.1%
3350.86 1
0.1%
3477.36 1
0.1%
3479.35 1
0.1%
3557.33 1
0.1%
3559.49 1
0.1%
3591.78 1
0.1%
ValueCountFrequency (%)
15739.97 1
0.1%
13200.32 1
0.1%
12333.8 1
0.1%
11879.64 1
0.1%
11515.09 1
0.1%
11353.38 1
0.1%
11080.49 1
0.1%
11032.13 1
0.1%
10981.27 1
0.1%
10815.27 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7104.5034
Minimum2451.62
Maximum13377.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:34.615555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2451.62
5-th percentile4913.38
Q16417.33
median7149.91
Q37845.91
95-th percentile8995.798
Maximum13377.28
Range10925.66
Interquartile range (IQR)1428.58

Descriptive statistics

Standard deviation1239.4473
Coefficient of variation (CV)0.17445938
Kurtosis1.629465
Mean7104.5034
Median Absolute Deviation (MAD)713.64
Skewness-0.039252168
Sum12539449
Variance1536229.6
MonotonicityNot monotonic
2024-01-10T04:54:34.727263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7459.83 2
 
0.1%
7102.82 2
 
0.1%
6706.8 2
 
0.1%
6477.31 2
 
0.1%
5583.17 1
 
0.1%
7704.54 1
 
0.1%
7305.35 1
 
0.1%
7160.16 1
 
0.1%
7452.41 1
 
0.1%
7541.4 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2451.62 1
0.1%
3105.07 1
0.1%
3360.95 1
0.1%
3409.12 1
0.1%
3487.2 1
0.1%
3580.06 1
0.1%
3589.69 1
0.1%
3600.83 1
0.1%
3641.57 1
0.1%
3642.0 1
0.1%
ValueCountFrequency (%)
13377.28 1
0.1%
13036.26 1
0.1%
12158.98 1
0.1%
11569.61 1
0.1%
11523.69 1
0.1%
11450.24 1
0.1%
11374.56 1
0.1%
11331.54 1
0.1%
11109.07 1
0.1%
10937.09 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5279.9587
Minimum1783.61
Maximum10557.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:34.836256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1783.61
5-th percentile3698.052
Q14761.7
median5295.36
Q35847.96
95-th percentile6654.388
Maximum10557.92
Range8774.31
Interquartile range (IQR)1086.26

Descriptive statistics

Standard deviation944.94645
Coefficient of variation (CV)0.17896853
Kurtosis2.1848495
Mean5279.9587
Median Absolute Deviation (MAD)544.43
Skewness0.034056565
Sum9319127.1
Variance892923.79
MonotonicityNot monotonic
2024-01-10T04:54:34.944150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5116.96 2
 
0.1%
4777.12 2
 
0.1%
5013.3 2
 
0.1%
3048.8 1
 
0.1%
5494.35 1
 
0.1%
5461.04 1
 
0.1%
5413.71 1
 
0.1%
5523.52 1
 
0.1%
5566.32 1
 
0.1%
6454.17 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
1783.61 1
0.1%
2164.36 1
0.1%
2168.95 1
0.1%
2318.71 1
0.1%
2424.78 1
0.1%
2482.18 1
0.1%
2520.15 1
0.1%
2544.61 1
0.1%
2550.47 1
0.1%
2579.88 1
0.1%
ValueCountFrequency (%)
10557.92 1
0.1%
10520.15 1
0.1%
9329.31 1
0.1%
9221.32 1
0.1%
8997.81 1
0.1%
8796.84 1
0.1%
8715.62 1
0.1%
8397.44 1
0.1%
8200.2 1
0.1%
8146.98 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4156.7603
Minimum1342.63
Maximum8035.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:35.051939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1342.63
5-th percentile2893.658
Q13692.75
median4162.56
Q34674.03
95-th percentile5304.636
Maximum8035.51
Range6692.88
Interquartile range (IQR)981.28

Descriptive statistics

Standard deviation772.04662
Coefficient of variation (CV)0.18573277
Kurtosis1.3546145
Mean4156.7603
Median Absolute Deviation (MAD)483.05
Skewness-0.10682129
Sum7336682
Variance596055.98
MonotonicityNot monotonic
2024-01-10T04:54:35.163616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4289.92 2
 
0.1%
4310.08 2
 
0.1%
5081.21 2
 
0.1%
4481.45 2
 
0.1%
3836.43 2
 
0.1%
4402.06 2
 
0.1%
5539.73 1
 
0.1%
5079.44 1
 
0.1%
5192.4 1
 
0.1%
4752.87 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
1342.63 1
0.1%
1705.21 1
0.1%
1705.37 1
0.1%
1714.94 1
0.1%
1748.38 1
0.1%
1831.38 1
0.1%
1946.59 1
0.1%
2008.9 1
0.1%
2009.25 1
0.1%
2018.51 1
0.1%
ValueCountFrequency (%)
8035.51 1
0.1%
7842.11 1
0.1%
7389.79 1
0.1%
7229.88 1
0.1%
7208.22 1
0.1%
6597.25 1
0.1%
6580.13 1
0.1%
6489.41 1
0.1%
6459.04 1
0.1%
6214.0 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10594.972
Minimum2432.38
Maximum16262.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:54:35.331639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2432.38
5-th percentile5089.91
Q110019.73
median10908.33
Q311732.17
95-th percentile12924.866
Maximum16262.84
Range13830.46
Interquartile range (IQR)1712.44

Descriptive statistics

Standard deviation2005.4981
Coefficient of variation (CV)0.18928772
Kurtosis4.0310776
Mean10594.972
Median Absolute Deviation (MAD)858.1
Skewness-1.7351511
Sum18700125
Variance4022022.5
MonotonicityNot monotonic
2024-01-10T04:54:35.520325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8628.29 2
 
0.1%
10308.77 2
 
0.1%
11365.73 2
 
0.1%
11380.61 2
 
0.1%
3375.92 1
 
0.1%
10635.49 1
 
0.1%
11805.62 1
 
0.1%
12255.33 1
 
0.1%
11190.57 1
 
0.1%
10426.52 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2432.38 1
0.1%
2873.28 1
0.1%
3251.08 1
0.1%
3265.67 1
0.1%
3283.19 1
0.1%
3299.09 1
0.1%
3373.96 1
0.1%
3375.92 1
0.1%
3406.64 1
0.1%
3413.03 1
0.1%
ValueCountFrequency (%)
16262.84 1
0.1%
15979.18 1
0.1%
15308.24 1
0.1%
15094.38 1
0.1%
14929.87 1
0.1%
14599.68 1
0.1%
14522.44 1
0.1%
14291.88 1
0.1%
14254.84 1
0.1%
14241.7 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
020190101청양군10058.596935.2512720.88081.815819.076178.85762.75619.415677.785259.425472.853500.572388.992993.367939.346329.347095.167595.96097.917469.387463.335888.125453.15675.675583.173048.82126.763375.92
120190102청양군3015.582980.25589.255658.284127.744723.734140.874576.934651.064666.294793.692935.292267.512870.372476.261886.653623.333968.043139.843890.353788.83217.853185.93704.753600.832168.951705.373251.08
220190103청양군1520.552084.774166.695124.523831.234437.14469.534524.654718.234675.044719.963276.962427.683506.61315.711964.082691.883528.272752.423318.763420.623111.23208.583320.93360.952424.782038.473422.18
320190104청양군2627.633212.786068.535906.714234.764983.484855.684910.145290.275016.674835.163536.252573.623626.062769.423257.983881.774355.883359.134422.94381.473961.063628.83919.793658.972759.621946.593539.67
420190105청양군5071.065889.868385.086030.244409.545233.555809.55700.815675.085197.865409.753840.042883.833784.715087.716331.345798.285033.255114.825770.526975.415542.614410.644877.434807.153133.452426.83900.37
520190106청양군4562.795916.719553.716653.493995.824883.255445.285344.335218.835089.05215.753835.372729.893635.416355.365244.665255.225050.374354.456328.547233.335030.94322.854892.145205.913328.372339.663709.41
620190107청양군1956.462568.355555.535504.563702.344309.414376.364267.884996.584694.154736.753388.672639.613675.392007.21925.212975.444233.923004.973166.183527.083194.633296.23653.43642.02482.182244.413863.8
720190108청양군2023.01921.54598.564836.063953.044416.264680.164393.255110.575240.714742.083632.712692.113652.91341.411708.052274.33186.982688.912877.823196.133145.293307.53696.783882.472738.382480.323683.99
820190109청양군1861.881676.695286.735096.783498.54160.994533.884226.764855.755141.84679.733458.892334.683292.081007.291680.942594.773101.642661.213027.923147.413146.333168.073350.863409.122520.152055.43441.96
920190110청양군1795.442238.974763.785145.983835.084424.314634.424525.344905.75050.914815.863631.122586.223756.971242.612204.462971.73379.733044.043236.473332.713133.623321.413591.783958.622921.452275.043590.2
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
175520231022청양군4753.413260.344216.074061.123532.534333.784910.966375.57643.638762.979131.927686.486300.819143.113990.222443.333618.772723.552913.033631.073986.95387.336007.037070.317752.426856.795498.5411201.06
175620231023청양군2359.541517.424340.574596.594215.024916.15647.637421.897604.859122.249372.867653.916369.999603.312421.251602.953725.493184.62821.843023.153176.734628.035117.675834.847022.815360.084675.9511368.12
175720231024청양군2168.661487.673945.394777.284299.114940.395354.867141.68188.259228.759365.677700.476393.579218.322457.431609.053277.723251.383019.733255.563366.534517.125196.615930.76864.825544.54599.3111264.44
175820231025청양군2339.411539.554311.774889.214420.134896.115440.27151.648449.269338.819352.997801.656424.199632.762564.341538.123660.123153.263165.253213.153382.754511.695098.176275.457240.25508.024639.8811603.92
175920231026청양군2172.571414.763922.775128.754166.624860.85406.677102.418246.649188.689220.647933.756222.549233.22330.871548.773254.173102.822899.973228.63110.954377.755292.746220.166949.855553.854512.2711421.92
176020231027청양군2685.811872.593999.675014.964127.494598.596075.977189.698446.219636.129904.148255.946787.1310295.02859.231661.543566.513282.812914.623307.243445.884973.575633.796629.527723.926171.315089.3813106.65
176120231028청양군3751.582350.342985.314390.243653.74130.445467.377416.128610.749511.889708.578209.586454.779025.114070.612095.973085.942773.953150.353903.384237.075736.296510.367701.378182.946616.774972.2911137.23
176220231029청양군3887.852139.393402.64193.323268.693916.194898.56378.587911.698352.878336.687225.386121.298480.573851.581980.723356.982840.543148.733332.014091.695624.846050.397035.667737.456194.754826.5410477.43
176320231030청양군2299.391560.613665.044763.744177.414793.235506.327148.57941.779270.029291.137653.126430.939376.452170.391540.993352.443196.933126.963115.563296.964553.595161.366521.687584.545717.94739.2411658.76
176420231031청양군2493.551516.033962.484805.954289.974926.565622.467298.497878.739362.489544.258040.156643.179635.192552.541350.313159.03225.763207.333176.923237.744544.165173.456424.647292.715783.564895.7411882.79