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=3120

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 45-49세 유동인구수 has unique valuesUnique
여성 10세미만 유동인구수 has unique valuesUnique
여성 70세이상 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:51:25.171457
Analysis finished2024-01-09 22:51:25.590004
Duration0.42 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
2024-01-10T07:51:25.656519image/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
2024-01-10T07:51:25.785056image/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
부여군
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부여군 1765
100.0%

Length

2024-01-10T07:51:25.899762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:51:25.989110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부여군 1765
100.0%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5521.6575
Minimum1710.47
Maximum21743.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:26.089526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1710.47
5-th percentile2546.292
Q13700.98
median5008.8
Q36724.82
95-th percentile10223.502
Maximum21743.06
Range20032.59
Interquartile range (IQR)3023.84

Descriptive statistics

Standard deviation2522.039
Coefficient of variation (CV)0.45675398
Kurtosis4.1914919
Mean5521.6575
Median Absolute Deviation (MAD)1430.93
Skewness1.5512477
Sum9745725.4
Variance6360680.8
MonotonicityNot monotonic
2024-01-10T07:51:26.251627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5407.68 2
 
0.1%
6841.73 2
 
0.1%
4009.75 1
 
0.1%
3111.52 1
 
0.1%
3433.69 1
 
0.1%
7629.88 1
 
0.1%
5380.37 1
 
0.1%
4401.28 1
 
0.1%
3616.56 1
 
0.1%
3933.79 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
1710.47 1
0.1%
1727.37 1
0.1%
1792.54 1
0.1%
1800.94 1
0.1%
1820.69 1
0.1%
1826.43 1
0.1%
1901.07 1
0.1%
1906.93 1
0.1%
1980.6 1
0.1%
2013.65 1
0.1%
ValueCountFrequency (%)
21743.06 1
0.1%
20486.3 1
0.1%
19717.89 1
0.1%
18816.14 1
0.1%
17844.96 1
0.1%
17658.97 1
0.1%
17540.05 1
0.1%
17464.63 1
0.1%
16198.7 1
0.1%
15701.2 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4385.0626
Minimum1658.8
Maximum46125.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:26.381400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1658.8
5-th percentile2468.126
Q13102.64
median4026.64
Q35021.9
95-th percentile7481.206
Maximum46125.15
Range44466.35
Interquartile range (IQR)1919.26

Descriptive statistics

Standard deviation2150.5521
Coefficient of variation (CV)0.49042676
Kurtosis95.725922
Mean4385.0626
Median Absolute Deviation (MAD)935.7
Skewness6.5457503
Sum7739635.6
Variance4624874.2
MonotonicityNot monotonic
2024-01-10T07:51:26.491509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4852.1 2
 
0.1%
9746.61 1
 
0.1%
3618.19 1
 
0.1%
2932.34 1
 
0.1%
3033.28 1
 
0.1%
2869.81 1
 
0.1%
4055.18 1
 
0.1%
3570.92 1
 
0.1%
2976.54 1
 
0.1%
2927.06 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
1658.8 1
0.1%
1887.42 1
0.1%
1906.38 1
0.1%
1971.17 1
0.1%
1985.07 1
0.1%
2021.71 1
0.1%
2035.33 1
0.1%
2036.01 1
0.1%
2066.74 1
0.1%
2068.26 1
0.1%
ValueCountFrequency (%)
46125.15 1
0.1%
28949.31 1
0.1%
23322.17 1
0.1%
18282.12 1
0.1%
15338.11 1
0.1%
15292.01 1
0.1%
14975.41 1
0.1%
13541.31 1
0.1%
13088.29 1
0.1%
12986.66 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6863.5379
Minimum3312.94
Maximum80928.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:26.607946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3312.94
5-th percentile4616.092
Q15607.91
median6585.26
Q37495.12
95-th percentile9679.464
Maximum80928.59
Range77615.65
Interquartile range (IQR)1887.21

Descriptive statistics

Standard deviation2776.4196
Coefficient of variation (CV)0.40451726
Kurtosis314.08845
Mean6863.5379
Median Absolute Deviation (MAD)943.82
Skewness13.475944
Sum12114144
Variance7708505.6
MonotonicityNot monotonic
2024-01-10T07:51:26.728979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6159.39 2
 
0.1%
5028.95 2
 
0.1%
5241.25 2
 
0.1%
7901.35 2
 
0.1%
6688.85 1
 
0.1%
4965.45 1
 
0.1%
5545.55 1
 
0.1%
7467.17 1
 
0.1%
6601.0 1
 
0.1%
6892.2 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
3312.94 1
0.1%
3335.7 1
0.1%
3420.56 1
0.1%
3444.99 1
0.1%
3476.74 1
0.1%
3491.46 1
0.1%
3528.36 1
0.1%
3535.79 1
0.1%
3548.92 1
0.1%
3558.09 1
0.1%
ValueCountFrequency (%)
80928.59 1
0.1%
45036.47 1
0.1%
34399.7 1
0.1%
26253.57 1
0.1%
19850.03 1
0.1%
19461.81 1
0.1%
19268.79 1
0.1%
17681.87 1
0.1%
17342.94 1
0.1%
16368.19 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8658.967
Minimum4475.63
Maximum84050.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:26.853554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4475.63
5-th percentile6509.922
Q17511.59
median8229.51
Q39044.33
95-th percentile12651.218
Maximum84050.62
Range79574.99
Interquartile range (IQR)1532.74

Descriptive statistics

Standard deviation2942.5052
Coefficient of variation (CV)0.33982173
Kurtosis283.89078
Mean8658.967
Median Absolute Deviation (MAD)760.68
Skewness12.870912
Sum15283077
Variance8658336.7
MonotonicityNot monotonic
2024-01-10T07:51:26.973792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7903.79 2
 
0.1%
8415.05 2
 
0.1%
6672.34 2
 
0.1%
17740.12 1
 
0.1%
6736.64 1
 
0.1%
7786.22 1
 
0.1%
6417.75 1
 
0.1%
6163.18 1
 
0.1%
6182.4 1
 
0.1%
7281.53 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4475.63 1
0.1%
4721.28 1
0.1%
4765.13 1
0.1%
4780.65 1
0.1%
4895.48 1
0.1%
4968.08 1
0.1%
4989.37 1
0.1%
5099.28 1
0.1%
5130.78 1
0.1%
5157.94 1
0.1%
ValueCountFrequency (%)
84050.62 1
0.1%
55617.99 1
0.1%
30823.53 1
0.1%
27690.93 1
0.1%
21287.4 1
0.1%
20830.11 1
0.1%
20623.77 1
0.1%
20432.87 1
0.1%
18760.8 1
0.1%
18419.49 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8886.1297
Minimum4752.31
Maximum52723.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:27.086260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4752.31
5-th percentile6914.406
Q17987.79
median8776.65
Q39476.92
95-th percentile10861.926
Maximum52723.14
Range47970.83
Interquartile range (IQR)1489.13

Descriptive statistics

Standard deviation1891.7073
Coefficient of variation (CV)0.21288315
Kurtosis197.28297
Mean8886.1297
Median Absolute Deviation (MAD)747.46
Skewness9.9556484
Sum15684019
Variance3578556.5
MonotonicityNot monotonic
2024-01-10T07:51:27.200891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8737.96 2
 
0.1%
7770.12 2
 
0.1%
7830.44 2
 
0.1%
6907.51 1
 
0.1%
9010.3 1
 
0.1%
9183.14 1
 
0.1%
8991.39 1
 
0.1%
7093.55 1
 
0.1%
7751.84 1
 
0.1%
8960.26 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4752.31 1
0.1%
5569.84 1
0.1%
5746.07 1
0.1%
5867.5 1
0.1%
5871.79 1
0.1%
5903.68 1
0.1%
5909.0 1
0.1%
5977.92 1
0.1%
5984.55 1
0.1%
6013.34 1
0.1%
ValueCountFrequency (%)
52723.14 1
0.1%
37936.83 1
0.1%
22545.24 1
0.1%
19406.79 1
0.1%
18726.04 1
0.1%
17689.21 1
0.1%
17083.86 1
0.1%
16370.57 1
0.1%
16367.38 1
0.1%
15754.04 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10343.455
Minimum5976.14
Maximum37436.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:27.312784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5976.14
5-th percentile8099.334
Q19428.24
median10260.12
Q311173.96
95-th percentile12215.672
Maximum37436.35
Range31460.21
Interquartile range (IQR)1745.72

Descriptive statistics

Standard deviation1675.7775
Coefficient of variation (CV)0.16201332
Kurtosis51.652819
Mean10343.455
Median Absolute Deviation (MAD)870.02
Skewness4.1102758
Sum18256198
Variance2808230.2
MonotonicityNot monotonic
2024-01-10T07:51:27.426219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9434.76 2
 
0.1%
9579.26 2
 
0.1%
12154.28 1
 
0.1%
8327.67 1
 
0.1%
9950.43 1
 
0.1%
9828.05 1
 
0.1%
10024.59 1
 
0.1%
8377.87 1
 
0.1%
8719.4 1
 
0.1%
10332.11 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5976.14 1
0.1%
6321.54 1
0.1%
6422.04 1
0.1%
6492.52 1
0.1%
6681.47 1
0.1%
6714.94 1
0.1%
6761.27 1
0.1%
6787.46 1
0.1%
6795.42 1
0.1%
6817.99 1
0.1%
ValueCountFrequency (%)
37436.35 1
0.1%
29582.46 1
0.1%
20632.87 1
0.1%
20523.12 1
0.1%
19849.71 1
0.1%
19749.83 1
0.1%
18962.81 1
0.1%
18244.16 1
0.1%
18160.73 1
0.1%
18020.6 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12075.414
Minimum7126.19
Maximum36146.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:27.542287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7126.19
5-th percentile9675.006
Q111041.81
median11904.51
Q312829.24
95-th percentile14936.51
Maximum36146.42
Range29020.23
Interquartile range (IQR)1787.43

Descriptive statistics

Standard deviation1921.0945
Coefficient of variation (CV)0.15909139
Kurtosis21.786906
Mean12075.414
Median Absolute Deviation (MAD)892.55
Skewness2.7709475
Sum21313106
Variance3690604
MonotonicityNot monotonic
2024-01-10T07:51:27.658103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12282.93 2
 
0.1%
11511.0 2
 
0.1%
12758.12 2
 
0.1%
12248.9 2
 
0.1%
11864.77 1
 
0.1%
12579.41 1
 
0.1%
11763.41 1
 
0.1%
11752.17 1
 
0.1%
11897.06 1
 
0.1%
12037.65 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
7126.19 1
0.1%
7290.58 1
0.1%
7306.04 1
0.1%
7386.1 1
0.1%
7388.06 1
0.1%
7418.79 1
0.1%
7641.08 1
0.1%
7867.69 1
0.1%
8019.32 1
0.1%
8131.43 1
0.1%
ValueCountFrequency (%)
36146.42 1
0.1%
28619.67 1
0.1%
24548.61 1
0.1%
23599.34 1
0.1%
22890.55 1
0.1%
22562.54 1
0.1%
22064.11 1
0.1%
21929.81 1
0.1%
21229.21 1
0.1%
21150.7 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15776.02
Minimum7398.23
Maximum33998.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:27.778818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7398.23
5-th percentile11908.592
Q114184.67
median15627.64
Q317236
95-th percentile19729.972
Maximum33998.99
Range26600.76
Interquartile range (IQR)3051.33

Descriptive statistics

Standard deviation2636.0294
Coefficient of variation (CV)0.1670909
Kurtosis5.2462245
Mean15776.02
Median Absolute Deviation (MAD)1533.46
Skewness1.1748677
Sum27844676
Variance6948650.9
MonotonicityNot monotonic
2024-01-10T07:51:27.903407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17059.33 2
 
0.1%
11270.39 1
 
0.1%
15305.39 1
 
0.1%
15326.89 1
 
0.1%
16114.99 1
 
0.1%
15675.71 1
 
0.1%
15470.46 1
 
0.1%
15553.28 1
 
0.1%
16523.43 1
 
0.1%
15681.12 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
7398.23 1
0.1%
8974.51 1
0.1%
9004.82 1
0.1%
9423.02 1
0.1%
9481.09 1
0.1%
9531.48 1
0.1%
9582.26 1
0.1%
9768.47 1
0.1%
9887.54 1
0.1%
9978.81 1
0.1%
ValueCountFrequency (%)
33998.99 1
0.1%
33098.62 1
0.1%
30701.5 1
0.1%
30313.21 1
0.1%
29776.38 1
0.1%
28895.24 1
0.1%
28603.84 1
0.1%
27485.65 1
0.1%
27289.46 1
0.1%
27094.35 1
0.1%

남성 45-49세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17261.139
Minimum8027.83
Maximum33723.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:28.022294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8027.83
5-th percentile13024.442
Q115888.2
median17321.42
Q318739.33
95-th percentile20649.386
Maximum33723.34
Range25695.51
Interquartile range (IQR)2851.13

Descriptive statistics

Standard deviation2552.1693
Coefficient of variation (CV)0.14785637
Kurtosis4.1575387
Mean17261.139
Median Absolute Deviation (MAD)1422.84
Skewness0.66592698
Sum30465910
Variance6513568.2
MonotonicityNot monotonic
2024-01-10T07:51:28.140563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11324.47 1
 
0.1%
15791.41 1
 
0.1%
17025.88 1
 
0.1%
17957.83 1
 
0.1%
18549.81 1
 
0.1%
15560.89 1
 
0.1%
16408.96 1
 
0.1%
18411.66 1
 
0.1%
17780.29 1
 
0.1%
17006.19 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
8027.83 1
0.1%
10057.74 1
0.1%
10119.1 1
0.1%
10232.32 1
0.1%
10460.05 1
0.1%
10545.18 1
0.1%
10641.29 1
0.1%
10652.56 1
0.1%
10677.94 1
0.1%
10894.26 1
0.1%
ValueCountFrequency (%)
33723.34 1
0.1%
32679.93 1
0.1%
32185.45 1
0.1%
30894.43 1
0.1%
30553.08 1
0.1%
29190.64 1
0.1%
28660.76 1
0.1%
28406.3 1
0.1%
27973.38 1
0.1%
27342.2 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18702.538
Minimum8742.27
Maximum32743.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:28.260062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8742.27
5-th percentile13844.14
Q117137.98
median18765.06
Q320632.84
95-th percentile22534.17
Maximum32743.12
Range24000.85
Interquartile range (IQR)3494.86

Descriptive statistics

Standard deviation2705.7773
Coefficient of variation (CV)0.14467434
Kurtosis0.87388802
Mean18702.538
Median Absolute Deviation (MAD)1767.24
Skewness-0.059296439
Sum33009979
Variance7321231
MonotonicityNot monotonic
2024-01-10T07:51:28.663151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21435.36 2
 
0.1%
11643.69 1
 
0.1%
19245.06 1
 
0.1%
20352.42 1
 
0.1%
19938.17 1
 
0.1%
20169.46 1
 
0.1%
20173.62 1
 
0.1%
18209.94 1
 
0.1%
18640.91 1
 
0.1%
20621.97 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
8742.27 1
0.1%
10726.66 1
0.1%
11067.85 1
0.1%
11164.28 1
0.1%
11536.61 1
0.1%
11604.08 1
0.1%
11643.69 1
0.1%
11730.88 1
0.1%
11798.5 1
0.1%
11812.62 1
0.1%
ValueCountFrequency (%)
32743.12 1
0.1%
30233.87 1
0.1%
30131.86 1
0.1%
29784.01 1
0.1%
28897.89 1
0.1%
27955.1 1
0.1%
27943.39 1
0.1%
26905.24 1
0.1%
26279.38 1
0.1%
26207.37 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19766.168
Minimum8814.79
Maximum28815.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:28.775432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8814.79
5-th percentile14570.32
Q118210.77
median19972.75
Q321674.22
95-th percentile23683.32
Maximum28815.4
Range20000.61
Interquartile range (IQR)3463.45

Descriptive statistics

Standard deviation2759.9416
Coefficient of variation (CV)0.13962957
Kurtosis0.21847032
Mean19766.168
Median Absolute Deviation (MAD)1724.79
Skewness-0.37842865
Sum34887287
Variance7617277.7
MonotonicityNot monotonic
2024-01-10T07:51:28.899144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19710.3 2
 
0.1%
20598.48 2
 
0.1%
12609.7 1
 
0.1%
21795.81 1
 
0.1%
21481.74 1
 
0.1%
21455.86 1
 
0.1%
17709.26 1
 
0.1%
19065.63 1
 
0.1%
21336.74 1
 
0.1%
21304.9 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8814.79 1
0.1%
11147.48 1
0.1%
11551.01 1
0.1%
12017.28 1
0.1%
12265.23 1
0.1%
12268.95 1
0.1%
12282.09 1
0.1%
12350.93 1
0.1%
12420.22 1
0.1%
12425.49 1
0.1%
ValueCountFrequency (%)
28815.4 1
0.1%
27977.44 1
0.1%
27400.19 1
0.1%
27334.68 1
0.1%
27218.02 1
0.1%
27015.39 1
0.1%
26998.19 1
0.1%
26854.46 1
0.1%
26574.04 1
0.1%
26493.26 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15324.676
Minimum6556.26
Maximum22388.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:29.019855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6556.26
5-th percentile11344.518
Q114021.49
median15352.29
Q316921.71
95-th percentile18567.888
Maximum22388.14
Range15831.88
Interquartile range (IQR)2900.22

Descriptive statistics

Standard deviation2233.3899
Coefficient of variation (CV)0.14573815
Kurtosis0.26342339
Mean15324.676
Median Absolute Deviation (MAD)1459.18
Skewness-0.28994192
Sum27048053
Variance4988030.4
MonotonicityNot monotonic
2024-01-10T07:51:29.141384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15107.78 2
 
0.1%
8827.86 1
 
0.1%
14613.47 1
 
0.1%
17208.36 1
 
0.1%
16514.23 1
 
0.1%
17410.12 1
 
0.1%
17283.28 1
 
0.1%
15242.16 1
 
0.1%
15149.64 1
 
0.1%
17646.88 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
6556.26 1
0.1%
8426.7 1
0.1%
8507.08 1
0.1%
8614.02 1
0.1%
8744.43 1
0.1%
8827.86 1
0.1%
8889.2 1
0.1%
8917.15 1
0.1%
9150.66 1
0.1%
9171.74 1
0.1%
ValueCountFrequency (%)
22388.14 1
0.1%
21653.58 1
0.1%
21409.46 1
0.1%
21349.71 1
0.1%
21345.28 1
0.1%
21290.14 1
0.1%
21243.18 1
0.1%
21239.61 1
0.1%
21233.54 1
0.1%
21216.62 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11675.834
Minimum4273.34
Maximum19139.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:29.264030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4273.34
5-th percentile8066.228
Q110375.12
median11676.8
Q313191.23
95-th percentile14871.85
Maximum19139.17
Range14865.83
Interquartile range (IQR)2816.11

Descriptive statistics

Standard deviation2129.4277
Coefficient of variation (CV)0.18237908
Kurtosis0.32050504
Mean11675.834
Median Absolute Deviation (MAD)1416.07
Skewness-0.053350809
Sum20607846
Variance4534462.5
MonotonicityNot monotonic
2024-01-10T07:51:29.414563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13235.69 2
 
0.1%
10957.14 2
 
0.1%
11695.29 2
 
0.1%
13572.91 2
 
0.1%
13154.21 1
 
0.1%
13705.12 1
 
0.1%
13903.81 1
 
0.1%
11498.74 1
 
0.1%
11596.16 1
 
0.1%
13297.83 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
4273.34 1
0.1%
5501.6 1
0.1%
5512.23 1
0.1%
5568.73 1
0.1%
5673.48 1
0.1%
5785.83 1
0.1%
5919.4 1
0.1%
5979.92 1
0.1%
6092.7 1
0.1%
6154.09 1
0.1%
ValueCountFrequency (%)
19139.17 1
0.1%
18652.26 1
0.1%
18445.98 1
0.1%
18231.47 1
0.1%
18120.63 1
0.1%
17988.73 1
0.1%
17986.1 1
0.1%
17908.97 1
0.1%
17865.71 1
0.1%
17813.69 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18495.152
Minimum6213.44
Maximum31498.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:29.557632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6213.44
5-th percentile11376.024
Q116841.46
median18689.75
Q320680.98
95-th percentile23073.764
Maximum31498.3
Range25284.86
Interquartile range (IQR)3839.52

Descriptive statistics

Standard deviation3466.411
Coefficient of variation (CV)0.18742268
Kurtosis1.5774111
Mean18495.152
Median Absolute Deviation (MAD)1945.09
Skewness-0.43890025
Sum32643943
Variance12016005
MonotonicityNot monotonic
2024-01-10T07:51:29.698164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19927.57 2
 
0.1%
18332.78 2
 
0.1%
6229.9 1
 
0.1%
17038.97 1
 
0.1%
20896.01 1
 
0.1%
21416.45 1
 
0.1%
17900.81 1
 
0.1%
17572.57 1
 
0.1%
21153.14 1
 
0.1%
20669.78 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
6213.44 1
0.1%
6229.9 1
0.1%
6394.79 1
0.1%
7152.81 1
0.1%
7599.26 1
0.1%
7645.11 1
0.1%
7687.26 1
0.1%
7771.69 1
0.1%
7827.51 1
0.1%
7867.83 1
0.1%
ValueCountFrequency (%)
31498.3 1
0.1%
30117.89 1
0.1%
29944.24 1
0.1%
29885.6 1
0.1%
29466.7 1
0.1%
29440.09 1
0.1%
29405.63 1
0.1%
29370.37 1
0.1%
29365.69 1
0.1%
29279.8 1
0.1%

여성 10세미만 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5709.4276
Minimum1669.39
Maximum23941.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:29.817081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1669.39
5-th percentile2765.622
Q14088.53
median5315.33
Q36655.75
95-th percentile10170.916
Maximum23941.5
Range22272.11
Interquartile range (IQR)2567.22

Descriptive statistics

Standard deviation2425.0152
Coefficient of variation (CV)0.42473876
Kurtosis6.1668842
Mean5709.4276
Median Absolute Deviation (MAD)1290.36
Skewness1.772844
Sum10077140
Variance5880698.8
MonotonicityNot monotonic
2024-01-10T07:51:29.932829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7761.68 1
 
0.1%
5583.14 1
 
0.1%
4476.58 1
 
0.1%
4999.88 1
 
0.1%
4849.74 1
 
0.1%
6761.01 1
 
0.1%
4969.95 1
 
0.1%
4996.93 1
 
0.1%
3969.75 1
 
0.1%
4711.48 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
1669.39 1
0.1%
1813.81 1
0.1%
1859.16 1
0.1%
1979.63 1
0.1%
2029.56 1
0.1%
2046.74 1
0.1%
2061.84 1
0.1%
2064.86 1
0.1%
2105.46 1
0.1%
2161.37 1
0.1%
ValueCountFrequency (%)
23941.5 1
0.1%
21557.24 1
0.1%
21138.47 1
0.1%
18963.18 1
0.1%
18568.82 1
0.1%
18389.94 1
0.1%
18162.47 1
0.1%
16409.66 1
0.1%
15970.69 1
0.1%
15830.51 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4104.9257
Minimum1426.38
Maximum39210.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:30.043773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1426.38
5-th percentile2313.502
Q13059.91
median3710.34
Q34631.01
95-th percentile7008.462
Maximum39210.81
Range37784.43
Interquartile range (IQR)1571.1

Descriptive statistics

Standard deviation1923.1113
Coefficient of variation (CV)0.46848869
Kurtosis77.710135
Mean4104.9257
Median Absolute Deviation (MAD)751.87
Skewness5.8497818
Sum7245193.9
Variance3698357
MonotonicityNot monotonic
2024-01-10T07:51:30.170437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2847.07 2
 
0.1%
4186.63 2
 
0.1%
3330.96 2
 
0.1%
3461.5 1
 
0.1%
2857.09 1
 
0.1%
2910.88 1
 
0.1%
4085.22 1
 
0.1%
3678.39 1
 
0.1%
3265.74 1
 
0.1%
3050.17 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
1426.38 1
0.1%
1453.01 1
0.1%
1492.26 1
0.1%
1497.15 1
0.1%
1569.16 1
0.1%
1590.62 1
0.1%
1594.47 1
0.1%
1603.45 1
0.1%
1615.78 1
0.1%
1624.56 1
0.1%
ValueCountFrequency (%)
39210.81 1
0.1%
25700.45 1
0.1%
21010.5 1
0.1%
15985.85 1
0.1%
14528.38 1
0.1%
13560.6 1
0.1%
13253.47 1
0.1%
12805.88 1
0.1%
12157.36 1
0.1%
11900.85 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5834.1226
Minimum2367.37
Maximum74549.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:30.310502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2367.37
5-th percentile3759.932
Q14587.24
median5494.73
Q36406.28
95-th percentile8648.962
Maximum74549.26
Range72181.89
Interquartile range (IQR)1819.04

Descriptive statistics

Standard deviation2770.9498
Coefficient of variation (CV)0.4749557
Kurtosis267.03159
Mean5834.1226
Median Absolute Deviation (MAD)911.07
Skewness12.652826
Sum10297226
Variance7678162.8
MonotonicityNot monotonic
2024-01-10T07:51:30.439863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5044.0 2
 
0.1%
5050.06 2
 
0.1%
14413.18 1
 
0.1%
5117.24 1
 
0.1%
4292.6 1
 
0.1%
3784.48 1
 
0.1%
4016.12 1
 
0.1%
5396.84 1
 
0.1%
5005.13 1
 
0.1%
5283.16 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
2367.37 1
0.1%
2415.04 1
0.1%
2425.31 1
0.1%
2454.0 1
0.1%
2487.01 1
0.1%
2490.26 1
0.1%
2496.29 1
0.1%
2498.6 1
0.1%
2507.23 1
0.1%
2538.84 1
0.1%
ValueCountFrequency (%)
74549.26 1
0.1%
52700.18 1
0.1%
31494.74 1
0.1%
28340.95 1
0.1%
18046.51 1
0.1%
16769.13 1
0.1%
16565.35 1
0.1%
16450.19 1
0.1%
15828.06 1
0.1%
15769.48 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6428.1591
Minimum2741.22
Maximum82759.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:30.561013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2741.22
5-th percentile4562.756
Q15326.46
median5936.1
Q36754.12
95-th percentile9896.938
Maximum82759.51
Range80018.29
Interquartile range (IQR)1427.66

Descriptive statistics

Standard deviation2967.2765
Coefficient of variation (CV)0.46160594
Kurtosis295.21805
Mean6428.1591
Median Absolute Deviation (MAD)711.1
Skewness13.510536
Sum11345701
Variance8804729.6
MonotonicityNot monotonic
2024-01-10T07:51:30.686525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4813.58 2
 
0.1%
8663.72 2
 
0.1%
17460.24 1
 
0.1%
4686.0 1
 
0.1%
4465.07 1
 
0.1%
4421.95 1
 
0.1%
4293.87 1
 
0.1%
4542.17 1
 
0.1%
5580.23 1
 
0.1%
5453.35 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
2741.22 1
0.1%
3079.67 1
0.1%
3139.08 1
0.1%
3164.97 1
0.1%
3166.82 1
0.1%
3170.48 1
0.1%
3219.95 1
0.1%
3257.31 1
0.1%
3259.35 1
0.1%
3326.13 1
0.1%
ValueCountFrequency (%)
82759.51 1
0.1%
55176.34 1
0.1%
31265.85 1
0.1%
30703.63 1
0.1%
22340.46 1
0.1%
18768.39 1
0.1%
17687.46 1
0.1%
17600.27 1
0.1%
17460.24 1
0.1%
17247.74 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6600.9921
Minimum2913.86
Maximum50929.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:30.808563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2913.86
5-th percentile4986.926
Q15699.36
median6346.17
Q36996.15
95-th percentile8944.332
Maximum50929.51
Range48015.65
Interquartile range (IQR)1296.79

Descriptive statistics

Standard deviation1974.2763
Coefficient of variation (CV)0.29908782
Kurtosis179.40964
Mean6600.9921
Median Absolute Deviation (MAD)647.65
Skewness9.8284371
Sum11650751
Variance3897767
MonotonicityNot monotonic
2024-01-10T07:51:30.931273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6971.64 2
 
0.1%
6907.87 2
 
0.1%
5667.89 2
 
0.1%
14920.77 1
 
0.1%
5136.85 1
 
0.1%
5422.29 1
 
0.1%
5451.27 1
 
0.1%
5950.22 1
 
0.1%
6006.7 1
 
0.1%
5871.05 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
2913.86 1
0.1%
4001.72 1
0.1%
4185.01 1
0.1%
4194.77 1
0.1%
4248.76 1
0.1%
4264.91 1
0.1%
4285.72 1
0.1%
4310.78 1
0.1%
4332.57 1
0.1%
4351.1 1
0.1%
ValueCountFrequency (%)
50929.51 1
0.1%
36639.59 1
0.1%
21846.59 1
0.1%
21306.31 1
0.1%
16799.83 1
0.1%
16483.94 1
0.1%
15429.05 1
0.1%
15068.08 1
0.1%
15021.97 1
0.1%
14920.77 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7781.4089
Minimum3882.02
Maximum37766.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:31.047512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3882.02
5-th percentile5551.7
Q16551.48
median7445.91
Q38454.94
95-th percentile11098.812
Maximum37766.74
Range33884.72
Interquartile range (IQR)1903.46

Descriptive statistics

Standard deviation2068.3272
Coefficient of variation (CV)0.26580369
Kurtosis34.917439
Mean7781.4089
Median Absolute Deviation (MAD)935.43
Skewness3.7684645
Sum13734187
Variance4277977.3
MonotonicityNot monotonic
2024-01-10T07:51:31.161890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6175.9 2
 
0.1%
7286.65 2
 
0.1%
5859.43 2
 
0.1%
7102.99 2
 
0.1%
8081.84 2
 
0.1%
7293.73 1
 
0.1%
7053.25 1
 
0.1%
7118.18 1
 
0.1%
6884.28 1
 
0.1%
8133.14 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
3882.02 1
0.1%
4310.6 1
0.1%
4398.92 1
0.1%
4481.74 1
0.1%
4509.48 1
0.1%
4628.55 1
0.1%
4654.94 1
0.1%
4730.96 1
0.1%
4793.36 1
0.1%
4806.12 1
0.1%
ValueCountFrequency (%)
37766.74 1
0.1%
28568.62 1
0.1%
21507.99 1
0.1%
20723.3 1
0.1%
18705.58 1
0.1%
18508.32 1
0.1%
18096.63 1
0.1%
17372.71 1
0.1%
16951.2 1
0.1%
16908.35 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9393.7738
Minimum4254.47
Maximum38055.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:31.273566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4254.47
5-th percentile6633.43
Q17621.87
median8775.09
Q310239.15
95-th percentile14360.838
Maximum38055.47
Range33801
Interquartile range (IQR)2617.28

Descriptive statistics

Standard deviation2713.8796
Coefficient of variation (CV)0.28890195
Kurtosis14.050051
Mean9393.7738
Median Absolute Deviation (MAD)1266.2
Skewness2.6243745
Sum16580011
Variance7365142.5
MonotonicityNot monotonic
2024-01-10T07:51:31.407719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7400.77 2
 
0.1%
9601.21 2
 
0.1%
12255.32 1
 
0.1%
9588.49 1
 
0.1%
8234.09 1
 
0.1%
8180.71 1
 
0.1%
8484.04 1
 
0.1%
11010.53 1
 
0.1%
10096.27 1
 
0.1%
8719.82 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4254.47 1
0.1%
5458.57 1
0.1%
5544.99 1
0.1%
5555.1 1
0.1%
5648.47 1
0.1%
5693.31 1
0.1%
5814.46 1
0.1%
5814.63 1
0.1%
5843.92 1
0.1%
5878.08 1
0.1%
ValueCountFrequency (%)
38055.47 1
0.1%
30284.18 1
0.1%
29616.22 1
0.1%
25509.21 1
0.1%
24477.81 1
0.1%
24383.34 1
0.1%
23939.92 1
0.1%
22686.34 1
0.1%
22117.8 1
0.1%
21074.23 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11455.934
Minimum4868.22
Maximum42995.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:31.805870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4868.22
5-th percentile8263.596
Q19650.96
median10844.9
Q312340.84
95-th percentile16686.596
Maximum42995.02
Range38126.8
Interquartile range (IQR)2689.88

Descriptive statistics

Standard deviation2952.0504
Coefficient of variation (CV)0.25768745
Kurtosis15.088443
Mean11455.934
Median Absolute Deviation (MAD)1317.08
Skewness2.709213
Sum20219723
Variance8714601.4
MonotonicityNot monotonic
2024-01-10T07:51:31.923194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14043.32 2
 
0.1%
9363.81 2
 
0.1%
9542.9 2
 
0.1%
10638.69 2
 
0.1%
10732.09 2
 
0.1%
10325.99 1
 
0.1%
9761.67 1
 
0.1%
10319.47 1
 
0.1%
10132.33 1
 
0.1%
12254.83 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
4868.22 1
0.1%
6464.12 1
0.1%
6471.77 1
0.1%
6728.14 1
0.1%
6823.97 1
0.1%
6975.0 1
0.1%
7092.56 1
0.1%
7234.09 1
0.1%
7285.7 1
0.1%
7369.84 1
0.1%
ValueCountFrequency (%)
42995.02 1
0.1%
35900.13 1
0.1%
30501.37 1
0.1%
30277.41 1
0.1%
29136.45 1
0.1%
27843.56 1
0.1%
26204.28 1
0.1%
26060.77 1
0.1%
25323.66 1
0.1%
25263.79 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12106.649
Minimum5826.79
Maximum37958.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:32.036299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5826.79
5-th percentile9240.086
Q110517.64
median11765.28
Q313146.34
95-th percentile16290.49
Maximum37958.76
Range32131.97
Interquartile range (IQR)2628.7

Descriptive statistics

Standard deviation2421.2454
Coefficient of variation (CV)0.19999303
Kurtosis13.388903
Mean12106.649
Median Absolute Deviation (MAD)1311.38
Skewness2.3254695
Sum21368235
Variance5862429.3
MonotonicityNot monotonic
2024-01-10T07:51:32.145383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10664.34 2
 
0.1%
9408.49 2
 
0.1%
10526.09 2
 
0.1%
12110.83 1
 
0.1%
11662.71 1
 
0.1%
11284.36 1
 
0.1%
11073.03 1
 
0.1%
11602.5 1
 
0.1%
11521.05 1
 
0.1%
12112.29 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
5826.79 1
0.1%
7176.92 1
0.1%
7280.42 1
0.1%
7412.22 1
0.1%
7639.97 1
0.1%
7926.98 1
0.1%
7981.5 1
0.1%
8016.15 1
0.1%
8118.0 1
0.1%
8137.06 1
0.1%
ValueCountFrequency (%)
37958.76 1
0.1%
30926.94 1
0.1%
27558.4 1
0.1%
27507.49 1
0.1%
25869.1 1
0.1%
25008.77 1
0.1%
24557.11 1
0.1%
22906.12 1
0.1%
22609.81 1
0.1%
22370.52 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14477.861
Minimum6361.6
Maximum34084.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:32.257568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6361.6
5-th percentile10939.718
Q112817.53
median14335.12
Q316098.94
95-th percentile18323.166
Maximum34084.79
Range27723.19
Interquartile range (IQR)3281.41

Descriptive statistics

Standard deviation2395.4807
Coefficient of variation (CV)0.16545819
Kurtosis3.6094892
Mean14477.861
Median Absolute Deviation (MAD)1633.92
Skewness0.82631863
Sum25553425
Variance5738327.7
MonotonicityNot monotonic
2024-01-10T07:51:32.374061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15871.81 2
 
0.1%
16602.94 2
 
0.1%
13895.75 2
 
0.1%
12332.47 1
 
0.1%
14352.24 1
 
0.1%
15159.07 1
 
0.1%
14567.66 1
 
0.1%
14230.57 1
 
0.1%
14866.47 1
 
0.1%
14419.46 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
6361.6 1
0.1%
8047.33 1
0.1%
8931.1 1
0.1%
9289.93 1
0.1%
9350.07 1
0.1%
9379.49 1
0.1%
9396.53 1
0.1%
9511.67 1
0.1%
9514.97 1
0.1%
9534.9 1
0.1%
ValueCountFrequency (%)
34084.79 1
0.1%
27861.65 1
0.1%
26569.5 1
0.1%
24617.45 1
0.1%
24611.46 1
0.1%
24551.11 1
0.1%
23663.01 1
0.1%
23503.31 1
0.1%
22857.17 1
0.1%
21887.72 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15883.143
Minimum6857.47
Maximum27257.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:32.491926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6857.47
5-th percentile11740.102
Q114006.76
median15752.94
Q317825.64
95-th percentile19931.244
Maximum27257.42
Range20399.95
Interquartile range (IQR)3818.88

Descriptive statistics

Standard deviation2599.6958
Coefficient of variation (CV)0.16367641
Kurtosis0.11825664
Mean15883.143
Median Absolute Deviation (MAD)1881.13
Skewness0.21453037
Sum28033748
Variance6758418.5
MonotonicityNot monotonic
2024-01-10T07:51:32.606896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18535.49 2
 
0.1%
18263.35 2
 
0.1%
17734.63 1
 
0.1%
16140.04 1
 
0.1%
16880.65 1
 
0.1%
16906.37 1
 
0.1%
15965.22 1
 
0.1%
16233.2 1
 
0.1%
16514.48 1
 
0.1%
16403.14 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
6857.47 1
0.1%
8750.33 1
0.1%
9528.33 1
0.1%
9621.44 1
0.1%
9728.41 1
0.1%
9765.16 1
0.1%
9771.21 1
0.1%
9998.88 1
0.1%
10214.76 1
0.1%
10226.66 1
0.1%
ValueCountFrequency (%)
27257.42 1
0.1%
27016.28 1
0.1%
25197.21 1
0.1%
24656.73 1
0.1%
24626.19 1
0.1%
24054.41 1
0.1%
23636.33 1
0.1%
23624.92 1
0.1%
23544.06 1
0.1%
23383.83 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12499.643
Minimum4989.43
Maximum20794.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:32.727640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4989.43
5-th percentile9356.708
Q111187.8
median12431.42
Q313887.67
95-th percentile15605.398
Maximum20794.02
Range15804.59
Interquartile range (IQR)2699.87

Descriptive statistics

Standard deviation1951.2363
Coefficient of variation (CV)0.15610337
Kurtosis0.32084841
Mean12499.643
Median Absolute Deviation (MAD)1361.73
Skewness0.049584715
Sum22061869
Variance3807323.2
MonotonicityNot monotonic
2024-01-10T07:51:32.846851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13747.85 2
 
0.1%
7641.49 1
 
0.1%
11696.35 1
 
0.1%
12602.67 1
 
0.1%
13228.23 1
 
0.1%
12114.07 1
 
0.1%
11848.85 1
 
0.1%
13422.76 1
 
0.1%
12570.85 1
 
0.1%
12545.36 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4989.43 1
0.1%
5918.08 1
0.1%
6541.2 1
0.1%
7156.06 1
0.1%
7167.21 1
0.1%
7170.53 1
0.1%
7180.54 1
0.1%
7271.87 1
0.1%
7369.77 1
0.1%
7480.61 1
0.1%
ValueCountFrequency (%)
20794.02 1
0.1%
20372.06 1
0.1%
19915.89 1
0.1%
19720.04 1
0.1%
18755.05 1
0.1%
18745.58 1
0.1%
18282.63 1
0.1%
17787.89 1
0.1%
17703.19 1
0.1%
17678.03 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9970.213
Minimum3400.33
Maximum15833.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:32.976270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3400.33
5-th percentile7175.79
Q18791.69
median9890.85
Q311211.37
95-th percentile12687.468
Maximum15833.99
Range12433.66
Interquartile range (IQR)2419.68

Descriptive statistics

Standard deviation1703.5651
Coefficient of variation (CV)0.17086547
Kurtosis-0.045939842
Mean9970.213
Median Absolute Deviation (MAD)1199.18
Skewness-0.070983181
Sum17597426
Variance2902134.1
MonotonicityNot monotonic
2024-01-10T07:51:33.093208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5178.59 2
 
0.1%
9596.4 2
 
0.1%
5685.06 1
 
0.1%
9917.9 1
 
0.1%
11164.55 1
 
0.1%
10578.9 1
 
0.1%
11112.9 1
 
0.1%
11298.75 1
 
0.1%
9898.05 1
 
0.1%
9872.9 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
3400.33 1
0.1%
4603.0 1
0.1%
4742.96 1
0.1%
5178.59 2
0.1%
5191.21 1
0.1%
5209.76 1
0.1%
5239.96 1
0.1%
5253.59 1
0.1%
5320.47 1
0.1%
5347.96 1
0.1%
ValueCountFrequency (%)
15833.99 1
0.1%
14877.21 1
0.1%
14719.54 1
0.1%
14485.44 1
0.1%
14432.29 1
0.1%
14292.76 1
0.1%
14200.35 1
0.1%
14142.83 1
0.1%
14046.75 1
0.1%
13936.08 1
0.1%

여성 70세이상 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22616.8
Minimum7090.64
Maximum35869.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T07:51:33.229825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7090.64
5-th percentile13059.65
Q120902.99
median22899.5
Q325029.63
95-th percentile27974.786
Maximum35869.62
Range28778.98
Interquartile range (IQR)4126.64

Descriptive statistics

Standard deviation4025.2672
Coefficient of variation (CV)0.17797686
Kurtosis2.2449229
Mean22616.8
Median Absolute Deviation (MAD)2067.1
Skewness-0.80343163
Sum39918653
Variance16202776
MonotonicityNot monotonic
2024-01-10T07:51:33.370171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8152.99 1
 
0.1%
21807.05 1
 
0.1%
23078.56 1
 
0.1%
24691.4 1
 
0.1%
24636.3 1
 
0.1%
21372.26 1
 
0.1%
21172.78 1
 
0.1%
25006.9 1
 
0.1%
23831.73 1
 
0.1%
23472.51 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
7090.64 1
0.1%
8152.99 1
0.1%
8394.02 1
0.1%
8593.63 1
0.1%
8607.92 1
0.1%
9250.18 1
0.1%
9396.23 1
0.1%
9615.07 1
0.1%
9630.41 1
0.1%
9661.93 1
0.1%
ValueCountFrequency (%)
35869.62 1
0.1%
35148.5 1
0.1%
34788.16 1
0.1%
34498.8 1
0.1%
34445.84 1
0.1%
34267.07 1
0.1%
34230.69 1
0.1%
34141.09 1
0.1%
34131.17 1
0.1%
34130.59 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
020190101부여군7109.359746.6114094.1717740.1213872.6612154.2812256.7411270.3911324.4711643.6912609.78827.865512.236229.97761.687877.7614413.1817460.2414920.7711778.0412255.3212131.6712110.8312332.4712545.327641.495685.068152.99
120190102부여군3877.654189.277381.912402.49982.1310273.0910145.6811670.9610894.2611861.1212428.858507.085568.736213.445065.193843.578604.629325.178229.017372.77779.737628.198161.749379.499528.336541.24742.968394.02
220190103부여군2756.384207.037210.6811288.0810075.5610059.1710721.2611516.9611891.9313051.3413322.359645.676313.178415.282508.53360.56805.048485.597362.37194.036977.317807.718741.369289.9310530.857271.875374.299396.23
320190104부여군3232.145047.267822.112383.8910400.0610040.5211190.3511153.5512249.2512906.1713157.69905.266226.87771.693201.253657.029760.949148.967928.537005.557585.858603.079020.449616.239771.217180.545191.219715.98
420190105부여군4144.386401.829582.3612335.2810047.4810520.1311861.4211552.2312126.0912759.9113513.159699.46288.817970.294922.076690.511940.7711257.059483.579011.7810224.5511108.7611235.5112741.0111381.727922.96136.59766.93
520190106부여군3953.877452.789865.8213062.219359.029483.79795.7810162.2610057.7411164.2812017.288744.435919.47599.264802.266236.8110110.810097.618577.788466.469552.419879.08749.9210906.0610953.187586.515178.598607.92
620190107부여군2828.694259.47408.1512497.429111.759807.69901.3410401.1311549.3712449.4612987.199229.586242.488179.413218.123713.456838.278283.047860.996940.886970.218100.948448.719534.910845.857369.775239.969923.43
720190108부여군2225.93558.957147.3511976.399927.5310151.6310672.6810959.7812354.0413077.4713495.069387.716154.098239.992212.343344.477216.657785.547864.136562.426837.228047.048651.939785.929998.887170.535805.949630.41
820190109부여군2335.443261.767242.9212183.039040.699925.3210845.3610533.712258.1212643.5912658.629399.376092.78142.842064.863388.927568.768292.257167.236722.476394.547867.428137.069514.979765.167156.065178.599615.07
920190110부여군2860.23273.897070.5811040.819618.049918.9810729.1711240.3311866.2513037.2313257.810179.746262.078644.02339.693586.37144.048027.387881.527120.966814.57909.428622.4410089.9810400.057639.175253.5910569.3
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
175520231022부여군8670.375432.058043.128295.038034.648929.7611819.1516762.9417601.5218811.5620358.7516145.1213226.4819118.179215.395578.327106.676744.126527.798531.2711533.1513824.1914687.6517290.5119250.2315218.5811877.4823186.87
175620231023부여군7188.84075.557168.88555.479443.0110793.0212532.3617116.4818324.2720287.221735.7317739.9813999.9321724.846049.673856.636324.986767.936944.877528.29326.2611422.0112981.7415730.118213.4314410.0911952.325580.96
175720231024부여군7182.314778.097346.338040.759795.5510645.8313011.716565.318117.9420414.0722002.6517883.5914209.4121880.835933.534850.416138.77111.466085.07386.529255.4711466.1812585.8816072.6618165.1514451.7711925.5626290.0
175820231025부여군6756.364821.837575.887766.559285.510929.5412744.1716501.9318642.4320774.9222158.0318027.0614178.8922492.866158.934652.846438.896601.246595.727413.749078.4511675.4713351.5716516.9718537.8215172.1912320.2226761.41
175920231026부여군6560.744221.627260.728235.699807.6610331.1412758.1217106.9318096.3619833.1321512.2617482.9813448.0922176.86006.834127.85506.27005.716766.977821.549423.0611557.0412832.1816097.7917824.414543.6311545.8526261.64
176020231027부여군7273.464534.979174.269170.9310208.910950.6312759.0417988.9619219.4821809.0422709.9718390.214826.6323234.566129.674496.77279.957739.156996.158142.7410220.0712847.3513746.1616820.7918492.6515761.2512502.0828180.75
176120231028부여군10227.186620.888517.929085.438972.459464.7513094.4618188.2520198.8421566.1423528.3218727.8515033.5821919.38808.596008.476955.737592.027568.39828.6812633.4515778.2116302.3319522.0221572.2917678.0313431.0326644.25
176220231029부여군8929.476669.228119.88550.958317.269705.3912623.2817256.7518262.3919250.9621321.2317862.913956.1619799.919478.855837.47109.817403.977448.929216.4712642.715713.4415288.4617556.6419935.7816353.0212382.9424713.85
176320231030부여군7481.774207.416826.738086.979766.8110648.1312827.6317050.3918272.0619865.8121843.7217648.314498.9222336.26288.433850.056734.916651.786577.697914.429489.6112170.5512926.9515826.4918258.815540.5812559.2527237.87
176420231031부여군6350.984325.976951.948193.529674.3210518.3312779.1116731.7318370.9219683.322221.2418457.114647.2623255.995994.174369.296784.916541.067052.787709.599183.712202.6913143.7416791.9618815.4615938.2213213.0528840.63