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=3119

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 40-44세 유동인구수 has unique valuesUnique
남성 50-54세 유동인구수 has unique valuesUnique
남성 60-64세 유동인구수 has unique valuesUnique
남성 70세이상 유동인구수 has unique valuesUnique
여성 15-19세 유동인구수 has unique valuesUnique
여성 40-44세 유동인구수 has unique valuesUnique
여성 60-64세 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:32:39.473777
Analysis finished2024-01-09 21:32:39.879562
Duration0.41 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
2024-01-10T06:32:39.939994image/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
2024-01-10T06:32:40.049125image/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
보령시
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 1765
100.0%

Length

2024-01-10T06:32:40.148737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:32:40.220565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 1765
100.0%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12720.563
Minimum3646.47
Maximum43565.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:40.301357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3646.47
5-th percentile6330.016
Q19116.53
median11666.41
Q315274.18
95-th percentile22895.494
Maximum43565.69
Range39919.22
Interquartile range (IQR)6157.65

Descriptive statistics

Standard deviation5081.2803
Coefficient of variation (CV)0.39945405
Kurtosis2.4068574
Mean12720.563
Median Absolute Deviation (MAD)2935.72
Skewness1.2896539
Sum22451793
Variance25819410
MonotonicityNot monotonic
2024-01-10T06:32:40.410878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10927.86 2
 
0.1%
25065.62 1
 
0.1%
12208.66 1
 
0.1%
11260.85 1
 
0.1%
9787.36 1
 
0.1%
11236.43 1
 
0.1%
13096.02 1
 
0.1%
12716.42 1
 
0.1%
9720.34 1
 
0.1%
8942.14 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
3646.47 1
0.1%
4239.44 1
0.1%
4297.04 1
0.1%
4298.11 1
0.1%
4342.65 1
0.1%
4465.13 1
0.1%
4578.31 1
0.1%
4593.33 1
0.1%
4669.5 1
0.1%
4688.88 1
0.1%
ValueCountFrequency (%)
43565.69 1
0.1%
35996.5 1
0.1%
35295.23 1
0.1%
35142.05 1
0.1%
34029.94 1
0.1%
34011.96 1
0.1%
32038.34 1
0.1%
30745.72 1
0.1%
30647.36 1
0.1%
30439.65 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9343.1449
Minimum4449.36
Maximum67901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:40.730055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4449.36
5-th percentile5386.876
Q16883.81
median8642.76
Q310651.94
95-th percentile15851.518
Maximum67901
Range63451.64
Interquartile range (IQR)3768.13

Descriptive statistics

Standard deviation3918.2655
Coefficient of variation (CV)0.4193733
Kurtosis41.376044
Mean9343.1449
Median Absolute Deviation (MAD)1846.68
Skewness4.2673607
Sum16490651
Variance15352804
MonotonicityNot monotonic
2024-01-10T06:32:40.830897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9904.75 2
 
0.1%
5355.38 2
 
0.1%
5065.34 2
 
0.1%
6556.57 1
 
0.1%
6594.09 1
 
0.1%
7023.48 1
 
0.1%
6817.34 1
 
0.1%
7094.89 1
 
0.1%
8414.04 1
 
0.1%
8594.17 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4449.36 1
0.1%
4545.86 1
0.1%
4624.9 1
0.1%
4723.5 1
0.1%
4739.14 1
0.1%
4759.76 1
0.1%
4817.29 1
0.1%
4846.43 1
0.1%
4865.39 1
0.1%
4872.98 1
0.1%
ValueCountFrequency (%)
67901.0 1
0.1%
44740.29 1
0.1%
44652.22 1
0.1%
42938.34 1
0.1%
37860.76 1
0.1%
31058.51 1
0.1%
27833.72 1
0.1%
26789.28 1
0.1%
26640.02 1
0.1%
25826.68 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15574.06
Minimum6808.98
Maximum112624.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:40.936657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6808.98
5-th percentile10203.526
Q112248.49
median14448.99
Q317369.17
95-th percentile24082.916
Maximum112624.06
Range105815.08
Interquartile range (IQR)5120.68

Descriptive statistics

Standard deviation5598.4935
Coefficient of variation (CV)0.35947552
Kurtosis64.480433
Mean15574.06
Median Absolute Deviation (MAD)2494.56
Skewness5.285505
Sum27488216
Variance31343129
MonotonicityNot monotonic
2024-01-10T06:32:41.043295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11388.04 2
 
0.1%
14821.44 2
 
0.1%
31346.17 1
 
0.1%
10704.97 1
 
0.1%
11627.68 1
 
0.1%
13020.47 1
 
0.1%
13022.7 1
 
0.1%
11592.88 1
 
0.1%
10807.23 1
 
0.1%
11453.6 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
6808.98 1
0.1%
7755.33 1
0.1%
7903.26 1
0.1%
8395.16 1
0.1%
8929.71 1
0.1%
8944.9 1
0.1%
9013.69 1
0.1%
9021.86 1
0.1%
9118.7 1
0.1%
9133.39 1
0.1%
ValueCountFrequency (%)
112624.06 1
0.1%
74005.43 1
0.1%
60736.32 1
0.1%
57625.76 1
0.1%
49720.7 1
0.1%
48479.02 1
0.1%
46662.27 1
0.1%
44754.83 1
0.1%
43205.99 1
0.1%
42027.61 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19141.989
Minimum8646.21
Maximum63159.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:41.149378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8646.21
5-th percentile13694.106
Q115948.39
median18074.64
Q321082.24
95-th percentile28233.038
Maximum63159.95
Range54513.74
Interquartile range (IQR)5133.85

Descriptive statistics

Standard deviation4941.367
Coefficient of variation (CV)0.25814282
Kurtosis9.0349683
Mean19141.989
Median Absolute Deviation (MAD)2445.01
Skewness2.1096997
Sum33785611
Variance24417108
MonotonicityNot monotonic
2024-01-10T06:32:41.256600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18915.17 2
 
0.1%
23444.65 1
 
0.1%
17132.81 1
 
0.1%
16314.26 1
 
0.1%
15823.1 1
 
0.1%
18319.58 1
 
0.1%
18704.84 1
 
0.1%
17065.91 1
 
0.1%
16622.29 1
 
0.1%
15545.3 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
8646.21 1
0.1%
10275.97 1
0.1%
10558.32 1
0.1%
11139.99 1
0.1%
11420.82 1
0.1%
11526.39 1
0.1%
11654.21 1
0.1%
11799.21 1
0.1%
11824.97 1
0.1%
11834.48 1
0.1%
ValueCountFrequency (%)
63159.95 1
0.1%
56090.58 1
0.1%
54547.24 1
0.1%
46506.74 1
0.1%
42904.09 1
0.1%
42793.96 1
0.1%
42344.45 1
0.1%
39861.12 1
0.1%
39698.84 1
0.1%
39617.12 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19622.31
Minimum9429.34
Maximum44144.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:41.358872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9429.34
5-th percentile15621.144
Q117480.93
median18968.22
Q320683.2
95-th percentile26311.494
Maximum44144.07
Range34714.73
Interquartile range (IQR)3202.27

Descriptive statistics

Standard deviation3563.931
Coefficient of variation (CV)0.18162647
Kurtosis7.7743707
Mean19622.31
Median Absolute Deviation (MAD)1594.7
Skewness2.0908824
Sum34633377
Variance12701604
MonotonicityNot monotonic
2024-01-10T06:32:41.467891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15983.78 2
 
0.1%
21274.01 1
 
0.1%
21161.69 1
 
0.1%
18635.66 1
 
0.1%
18953.67 1
 
0.1%
18848.21 1
 
0.1%
18297.81 1
 
0.1%
19256.7 1
 
0.1%
18157.74 1
 
0.1%
18195.27 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
9429.34 1
0.1%
9888.11 1
0.1%
12566.6 1
0.1%
12741.18 1
0.1%
12918.63 1
0.1%
13374.05 1
0.1%
13401.39 1
0.1%
13569.75 1
0.1%
13766.36 1
0.1%
13785.23 1
0.1%
ValueCountFrequency (%)
44144.07 1
0.1%
44026.39 1
0.1%
43532.05 1
0.1%
42661.12 1
0.1%
37986.03 1
0.1%
37547.07 1
0.1%
36603.8 1
0.1%
36510.47 1
0.1%
36459.88 1
0.1%
35245.69 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23722.143
Minimum11525.2
Maximum45368.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:41.578672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11525.2
5-th percentile18252.902
Q121343.68
median23619.91
Q325448.97
95-th percentile30411.374
Maximum45368.23
Range33843.03
Interquartile range (IQR)4105.29

Descriptive statistics

Standard deviation3697.1503
Coefficient of variation (CV)0.15585229
Kurtosis2.6175517
Mean23722.143
Median Absolute Deviation (MAD)2051.15
Skewness0.90488581
Sum41869582
Variance13668920
MonotonicityNot monotonic
2024-01-10T06:32:41.695729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26275.19 2
 
0.1%
23257.66 2
 
0.1%
19844.3 1
 
0.1%
23603.51 1
 
0.1%
24271.47 1
 
0.1%
22517.11 1
 
0.1%
24414.73 1
 
0.1%
24947.13 1
 
0.1%
25133.8 1
 
0.1%
24308.2 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
11525.2 1
0.1%
12293.9 1
0.1%
14514.63 1
0.1%
14769.65 1
0.1%
15212.95 1
0.1%
15233.89 1
0.1%
15432.0 1
0.1%
15513.78 1
0.1%
15638.61 1
0.1%
15772.04 1
0.1%
ValueCountFrequency (%)
45368.23 1
0.1%
44127.75 1
0.1%
40374.82 1
0.1%
40039.18 1
0.1%
38974.19 1
0.1%
38841.73 1
0.1%
38778.62 1
0.1%
38262.31 1
0.1%
37750.3 1
0.1%
37477.62 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27366.206
Minimum12134.69
Maximum46652.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:41.797396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12134.69
5-th percentile20746.562
Q124295.64
median27001.63
Q329554.27
95-th percentile36004.19
Maximum46652.17
Range34517.48
Interquartile range (IQR)5258.63

Descriptive statistics

Standard deviation4490.3975
Coefficient of variation (CV)0.1640855
Kurtosis1.5023213
Mean27366.206
Median Absolute Deviation (MAD)2622.27
Skewness0.79233158
Sum48301354
Variance20163670
MonotonicityNot monotonic
2024-01-10T06:32:41.901084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30526.03 2
 
0.1%
27221.15 2
 
0.1%
21841.63 1
 
0.1%
24388.07 1
 
0.1%
26124.69 1
 
0.1%
25782.78 1
 
0.1%
26532.3 1
 
0.1%
26684.18 1
 
0.1%
25433.22 1
 
0.1%
26321.55 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
12134.69 1
0.1%
14885.29 1
0.1%
15718.44 1
0.1%
17301.68 1
0.1%
17305.3 1
0.1%
17325.29 1
0.1%
17612.2 1
0.1%
17636.06 1
0.1%
17677.21 1
0.1%
18209.05 1
0.1%
ValueCountFrequency (%)
46652.17 1
0.1%
46117.58 1
0.1%
45901.66 1
0.1%
45533.03 1
0.1%
45343.35 1
0.1%
44860.21 1
0.1%
44287.95 1
0.1%
44052.03 1
0.1%
43009.17 1
0.1%
42743.65 1
0.1%

남성 40-44세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32676.249
Minimum12382.33
Maximum57534.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:42.008135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12382.33
5-th percentile21867.238
Q128689.13
median32469.42
Q336010.07
95-th percentile44167.042
Maximum57534.04
Range45151.71
Interquartile range (IQR)7320.94

Descriptive statistics

Standard deviation6270.2557
Coefficient of variation (CV)0.19189031
Kurtosis1.0768932
Mean32676.249
Median Absolute Deviation (MAD)3696.65
Skewness0.49697484
Sum57673580
Variance39316107
MonotonicityNot monotonic
2024-01-10T06:32:42.113344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19564.54 1
 
0.1%
30245.44 1
 
0.1%
30830.96 1
 
0.1%
32161.4 1
 
0.1%
32104.78 1
 
0.1%
29525.42 1
 
0.1%
31565.78 1
 
0.1%
31749.37 1
 
0.1%
30790.19 1
 
0.1%
30965.73 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
12382.33 1
0.1%
16264.97 1
0.1%
16411.01 1
0.1%
17494.3 1
0.1%
17668.02 1
0.1%
18255.32 1
0.1%
18395.32 1
0.1%
18431.03 1
0.1%
18466.65 1
0.1%
18693.29 1
0.1%
ValueCountFrequency (%)
57534.04 1
0.1%
56346.89 1
0.1%
56278.32 1
0.1%
56066.96 1
0.1%
54636.29 1
0.1%
54626.82 1
0.1%
54500.08 1
0.1%
54372.82 1
0.1%
54152.88 1
0.1%
53616.54 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32917.933
Minimum13350.16
Maximum57228.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:42.213824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13350.16
5-th percentile23100.136
Q129260.63
median32848.81
Q335959.21
95-th percentile42879.632
Maximum57228.7
Range43878.54
Interquartile range (IQR)6698.58

Descriptive statistics

Standard deviation5844.5164
Coefficient of variation (CV)0.1775481
Kurtosis1.0924495
Mean32917.933
Median Absolute Deviation (MAD)3350.64
Skewness0.43692247
Sum58100151
Variance34158372
MonotonicityNot monotonic
2024-01-10T06:32:42.313663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36808.56 2
 
0.1%
19723.0 1
 
0.1%
32570.74 1
 
0.1%
33944.04 1
 
0.1%
32820.69 1
 
0.1%
28707.43 1
 
0.1%
31369.01 1
 
0.1%
33587.96 1
 
0.1%
33537.45 1
 
0.1%
32984.84 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
13350.16 1
0.1%
16843.74 1
0.1%
17269.88 1
0.1%
18599.66 1
0.1%
18981.05 1
0.1%
19160.94 1
0.1%
19299.4 1
0.1%
19356.97 1
0.1%
19397.61 1
0.1%
19423.71 1
0.1%
ValueCountFrequency (%)
57228.7 1
0.1%
57182.95 1
0.1%
56094.98 1
0.1%
54562.15 1
0.1%
54148.02 1
0.1%
53959.64 1
0.1%
53267.8 1
0.1%
52704.67 1
0.1%
52251.68 1
0.1%
51766.44 1
0.1%

남성 50-54세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33583.373
Minimum13381.62
Maximum51560.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:42.414494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13381.62
5-th percentile23795.426
Q130343.42
median33978.63
Q336897.15
95-th percentile41965
Maximum51560.74
Range38179.12
Interquartile range (IQR)6553.73

Descriptive statistics

Standard deviation5304.6747
Coefficient of variation (CV)0.15795539
Kurtosis0.37046597
Mean33583.373
Median Absolute Deviation (MAD)3293.66
Skewness-0.12434842
Sum59274653
Variance28139574
MonotonicityNot monotonic
2024-01-10T06:32:42.524304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20669.98 1
 
0.1%
31490.66 1
 
0.1%
34656.67 1
 
0.1%
36154.61 1
 
0.1%
34933.33 1
 
0.1%
30908.09 1
 
0.1%
32999.52 1
 
0.1%
36380.0 1
 
0.1%
35816.39 1
 
0.1%
35846.83 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
13381.62 1
0.1%
17820.85 1
0.1%
18548.41 1
0.1%
19137.13 1
0.1%
19591.5 1
0.1%
19915.51 1
0.1%
19985.75 1
0.1%
20270.49 1
0.1%
20416.04 1
0.1%
20497.1 1
0.1%
ValueCountFrequency (%)
51560.74 1
0.1%
51336.3 1
0.1%
51253.82 1
0.1%
50871.06 1
0.1%
50774.29 1
0.1%
48464.03 1
0.1%
48369.2 1
0.1%
48292.23 1
0.1%
47918.75 1
0.1%
47496.06 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30992.075
Minimum12196.45
Maximum44817.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:42.628607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12196.45
5-th percentile22360.146
Q128415.16
median31316.26
Q333874.49
95-th percentile37901.594
Maximum44817.26
Range32620.81
Interquartile range (IQR)5459.33

Descriptive statistics

Standard deviation4505.7051
Coefficient of variation (CV)0.14538249
Kurtosis0.4412644
Mean30992.075
Median Absolute Deviation (MAD)2694.13
Skewness-0.30251741
Sum54701013
Variance20301379
MonotonicityNot monotonic
2024-01-10T06:32:42.731815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32146.67 2
 
0.1%
19083.28 1
 
0.1%
27876.08 1
 
0.1%
31835.09 1
 
0.1%
33426.35 1
 
0.1%
32890.51 1
 
0.1%
28961.33 1
 
0.1%
30665.66 1
 
0.1%
33647.05 1
 
0.1%
33263.86 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12196.45 1
0.1%
16003.39 1
0.1%
17589.8 1
0.1%
18232.81 1
0.1%
18424.71 1
0.1%
18636.56 1
0.1%
18719.21 1
0.1%
18719.51 1
0.1%
19000.77 1
0.1%
19019.69 1
0.1%
ValueCountFrequency (%)
44817.26 1
0.1%
44552.85 1
0.1%
44011.04 1
0.1%
43720.15 1
0.1%
43066.73 1
0.1%
43039.53 1
0.1%
42727.22 1
0.1%
42559.94 1
0.1%
42534.48 1
0.1%
42452.03 1
0.1%

남성 60-64세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23315.137
Minimum8862.52
Maximum33331.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:42.837085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8862.52
5-th percentile16658.112
Q121299.97
median23574.59
Q325711.33
95-th percentile28226.938
Maximum33331.6
Range24469.08
Interquartile range (IQR)4411.36

Descriptive statistics

Standard deviation3483.3086
Coefficient of variation (CV)0.14940116
Kurtosis0.51067584
Mean23315.137
Median Absolute Deviation (MAD)2180.92
Skewness-0.48579731
Sum41151218
Variance12133439
MonotonicityNot monotonic
2024-01-10T06:32:42.951461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12136.46 1
 
0.1%
22071.59 1
 
0.1%
24294.87 1
 
0.1%
25001.77 1
 
0.1%
25779.3 1
 
0.1%
22727.48 1
 
0.1%
23088.22 1
 
0.1%
24840.56 1
 
0.1%
24688.48 1
 
0.1%
24372.04 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
8862.52 1
0.1%
11666.14 1
0.1%
11828.61 1
0.1%
12136.46 1
0.1%
12166.54 1
0.1%
13220.34 1
0.1%
13271.28 1
0.1%
13300.24 1
0.1%
13320.01 1
0.1%
13340.57 1
0.1%
ValueCountFrequency (%)
33331.6 1
0.1%
32593.06 1
0.1%
32473.87 1
0.1%
32162.38 1
0.1%
32059.82 1
0.1%
31822.23 1
0.1%
31809.86 1
0.1%
31594.73 1
0.1%
31487.63 1
0.1%
31351.07 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17400.24
Minimum6120.24
Maximum24919.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:43.087355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6120.24
5-th percentile12049.18
Q115686.49
median17607.39
Q319501.66
95-th percentile21762.626
Maximum24919.32
Range18799.08
Interquartile range (IQR)3815.17

Descriptive statistics

Standard deviation2902.0526
Coefficient of variation (CV)0.16678233
Kurtosis0.23492117
Mean17400.24
Median Absolute Deviation (MAD)1910.94
Skewness-0.51478949
Sum30711423
Variance8421909.1
MonotonicityNot monotonic
2024-01-10T06:32:43.204284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15861.55 2
 
0.1%
17811.72 2
 
0.1%
15378.12 2
 
0.1%
16281.05 1
 
0.1%
18753.66 1
 
0.1%
18515.73 1
 
0.1%
19372.84 1
 
0.1%
20143.04 1
 
0.1%
16887.87 1
 
0.1%
17158.66 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
6120.24 1
0.1%
8132.07 1
0.1%
8155.76 1
0.1%
8172.91 1
0.1%
8252.67 1
0.1%
8744.8 1
0.1%
8905.2 1
0.1%
8997.4 1
0.1%
9040.41 1
0.1%
9163.71 1
0.1%
ValueCountFrequency (%)
24919.32 1
0.1%
24222.42 1
0.1%
24108.71 1
0.1%
24103.27 1
0.1%
23592.94 1
0.1%
23570.22 1
0.1%
23391.12 1
0.1%
23384.33 1
0.1%
23292.44 1
0.1%
23283.66 1
0.1%

남성 70세이상 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23263.687
Minimum6627.02
Maximum34748.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:43.314470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6627.02
5-th percentile14765.056
Q120833.02
median23386.7
Q326210.79
95-th percentile30211.894
Maximum34748.1
Range28121.08
Interquartile range (IQR)5377.77

Descriptive statistics

Standard deviation4421.2013
Coefficient of variation (CV)0.19004732
Kurtosis0.62220813
Mean23263.687
Median Absolute Deviation (MAD)2672.7
Skewness-0.46743921
Sum41060407
Variance19547021
MonotonicityNot monotonic
2024-01-10T06:32:43.652287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7983.59 1
 
0.1%
21328.82 1
 
0.1%
24303.02 1
 
0.1%
26307.3 1
 
0.1%
27880.78 1
 
0.1%
22853.88 1
 
0.1%
21778.32 1
 
0.1%
25759.16 1
 
0.1%
25242.81 1
 
0.1%
25887.33 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
6627.02 1
0.1%
7983.59 1
0.1%
8273.71 1
0.1%
9321.91 1
0.1%
10000.43 1
0.1%
10242.44 1
0.1%
10341.86 1
0.1%
10406.89 1
0.1%
10530.92 1
0.1%
10689.54 1
0.1%
ValueCountFrequency (%)
34748.1 1
0.1%
34402.41 1
0.1%
34325.51 1
0.1%
33946.41 1
0.1%
33817.54 1
0.1%
33634.82 1
0.1%
33586.0 1
0.1%
33369.3 1
0.1%
33138.75 1
0.1%
33072.77 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13188.94
Minimum4140.66
Maximum35610.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:43.768339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4140.66
5-th percentile6748.372
Q19715.89
median12356.67
Q315755.69
95-th percentile22767.896
Maximum35610.48
Range31469.82
Interquartile range (IQR)6039.8

Descriptive statistics

Standard deviation4910.6097
Coefficient of variation (CV)0.37232787
Kurtosis1.6550363
Mean13188.94
Median Absolute Deviation (MAD)2828.05
Skewness1.1075535
Sum23278478
Variance24114088
MonotonicityNot monotonic
2024-01-10T06:32:43.873004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10927.68 2
 
0.1%
18874.01 1
 
0.1%
13561.49 1
 
0.1%
11351.31 1
 
0.1%
11551.3 1
 
0.1%
11838.64 1
 
0.1%
11428.82 1
 
0.1%
15192.24 1
 
0.1%
12471.17 1
 
0.1%
11821.81 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4140.66 1
0.1%
4150.12 1
0.1%
4396.88 1
0.1%
4399.98 1
0.1%
4523.9 1
0.1%
4624.9 1
0.1%
4675.04 1
0.1%
4746.82 1
0.1%
4775.91 1
0.1%
4858.73 1
0.1%
ValueCountFrequency (%)
35610.48 1
0.1%
34815.47 1
0.1%
34500.29 1
0.1%
34198.53 1
0.1%
33012.5 1
0.1%
32207.25 1
0.1%
32076.32 1
0.1%
31408.3 1
0.1%
31042.37 1
0.1%
30822.93 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9124.4113
Minimum4138.64
Maximum62931.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:43.979863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4138.64
5-th percentile5386.526
Q16879.4
median8497.93
Q310335.27
95-th percentile14962.696
Maximum62931.92
Range58793.28
Interquartile range (IQR)3455.87

Descriptive statistics

Standard deviation3613.407
Coefficient of variation (CV)0.39601536
Kurtosis40.74348
Mean9124.4113
Median Absolute Deviation (MAD)1707.21
Skewness4.1556862
Sum16104586
Variance13056710
MonotonicityNot monotonic
2024-01-10T06:32:44.081632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7769.36 2
 
0.1%
5273.73 2
 
0.1%
9282.96 2
 
0.1%
19979.35 1
 
0.1%
7045.42 1
 
0.1%
7306.95 1
 
0.1%
7279.28 1
 
0.1%
7147.33 1
 
0.1%
8412.06 1
 
0.1%
8386.69 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4138.64 1
0.1%
4426.39 1
0.1%
4435.45 1
0.1%
4563.39 1
0.1%
4635.22 1
0.1%
4709.8 1
0.1%
4730.01 1
0.1%
4787.78 1
0.1%
4857.77 1
0.1%
4871.26 1
0.1%
ValueCountFrequency (%)
62931.92 1
0.1%
43175.68 1
0.1%
43173.79 1
0.1%
36621.46 1
0.1%
35361.81 1
0.1%
27041.69 1
0.1%
24549.45 1
0.1%
24518.82 1
0.1%
24334.88 1
0.1%
23696.85 1
0.1%

여성 15-19세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12331.099
Minimum4935.29
Maximum103896.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:44.191126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4935.29
5-th percentile7479.65
Q19145.93
median11124.5
Q313839.74
95-th percentile20523.564
Maximum103896.48
Range98961.19
Interquartile range (IQR)4693.81

Descriptive statistics

Standard deviation5588.7333
Coefficient of variation (CV)0.45322265
Kurtosis58.765311
Mean12331.099
Median Absolute Deviation (MAD)2227.86
Skewness5.4211095
Sum21764390
Variance31233940
MonotonicityNot monotonic
2024-01-10T06:32:44.295748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32055.58 1
 
0.1%
9982.1 1
 
0.1%
7536.09 1
 
0.1%
7549.74 1
 
0.1%
8005.72 1
 
0.1%
10596.92 1
 
0.1%
10923.75 1
 
0.1%
9315.06 1
 
0.1%
7512.71 1
 
0.1%
7692.8 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
4935.29 1
0.1%
6313.24 1
0.1%
6315.35 1
0.1%
6347.33 1
0.1%
6382.22 1
0.1%
6450.52 1
0.1%
6461.56 1
0.1%
6482.77 1
0.1%
6504.19 1
0.1%
6562.24 1
0.1%
ValueCountFrequency (%)
103896.48 1
0.1%
69552.84 1
0.1%
59664.97 1
0.1%
58586.2 1
0.1%
56363.6 1
0.1%
55680.02 1
0.1%
44169.19 1
0.1%
43524.62 1
0.1%
41272.32 1
0.1%
39621.15 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13483.11
Minimum4641.02
Maximum77395.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:44.401349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4641.02
5-th percentile8269.346
Q110250.43
median12189.96
Q315480.44
95-th percentile22238.47
Maximum77395.32
Range72754.3
Interquartile range (IQR)5230.01

Descriptive statistics

Standard deviation5146.9809
Coefficient of variation (CV)0.38173543
Kurtosis21.250487
Mean13483.11
Median Absolute Deviation (MAD)2427.31
Skewness3.0394109
Sum23797690
Variance26491413
MonotonicityNot monotonic
2024-01-10T06:32:44.522856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10429.36 2
 
0.1%
30336.48 1
 
0.1%
9511.8 1
 
0.1%
7474.43 1
 
0.1%
6952.83 1
 
0.1%
7744.36 1
 
0.1%
8357.97 1
 
0.1%
12537.24 1
 
0.1%
12711.56 1
 
0.1%
8986.25 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4641.02 1
0.1%
6861.56 1
0.1%
6952.83 1
0.1%
7004.28 1
0.1%
7117.5 1
0.1%
7224.93 1
0.1%
7226.47 1
0.1%
7226.59 1
0.1%
7236.15 1
0.1%
7237.57 1
0.1%
ValueCountFrequency (%)
77395.32 1
0.1%
59524.07 1
0.1%
46477.0 1
0.1%
45464.22 1
0.1%
45297.52 1
0.1%
41645.86 1
0.1%
38435.02 1
0.1%
36891.69 1
0.1%
36167.74 1
0.1%
36064.25 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13963.768
Minimum6120.47
Maximum49298.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:44.645285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6120.47
5-th percentile10226.304
Q111620.03
median13149.24
Q315070.76
95-th percentile20881.024
Maximum49298.28
Range43177.81
Interquartile range (IQR)3450.73

Descriptive statistics

Standard deviation3571.1061
Coefficient of variation (CV)0.25574086
Kurtosis10.923962
Mean13963.768
Median Absolute Deviation (MAD)1667.56
Skewness2.3403252
Sum24646050
Variance12752799
MonotonicityNot monotonic
2024-01-10T06:32:44.746765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9979.96 2
 
0.1%
16332.08 2
 
0.1%
11306.94 2
 
0.1%
11915.5 2
 
0.1%
10945.89 2
 
0.1%
14095.47 2
 
0.1%
15630.25 1
 
0.1%
12479.02 1
 
0.1%
13163.04 1
 
0.1%
26399.52 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
6120.47 1
0.1%
8989.85 1
0.1%
9147.83 1
0.1%
9181.69 1
0.1%
9181.88 1
0.1%
9188.06 1
0.1%
9224.87 1
0.1%
9296.97 1
0.1%
9358.67 1
0.1%
9369.47 1
0.1%
ValueCountFrequency (%)
49298.28 1
0.1%
40893.85 1
0.1%
38930.74 1
0.1%
34059.56 1
0.1%
31659.6 1
0.1%
31365.42 1
0.1%
29496.25 1
0.1%
28952.98 1
0.1%
28746.44 1
0.1%
28459.78 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17288.318
Minimum7994.09
Maximum43123.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:44.846083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7994.09
5-th percentile12725.76
Q114528.37
median16662.73
Q318819.36
95-th percentile24954.304
Maximum43123.18
Range35129.09
Interquartile range (IQR)4290.99

Descriptive statistics

Standard deviation3829.1856
Coefficient of variation (CV)0.22148977
Kurtosis3.6415919
Mean17288.318
Median Absolute Deviation (MAD)2148.62
Skewness1.4768274
Sum30513881
Variance14662662
MonotonicityNot monotonic
2024-01-10T06:32:44.951011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16798.45 2
 
0.1%
22618.0 1
 
0.1%
16915.83 1
 
0.1%
15037.28 1
 
0.1%
16146.19 1
 
0.1%
16427.81 1
 
0.1%
18641.52 1
 
0.1%
19353.01 1
 
0.1%
16880.88 1
 
0.1%
15883.29 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
7994.09 1
0.1%
8219.59 1
0.1%
9746.25 1
0.1%
10783.54 1
0.1%
10926.88 1
0.1%
11063.93 1
0.1%
11330.9 1
0.1%
11350.99 1
0.1%
11420.26 1
0.1%
11684.56 1
0.1%
ValueCountFrequency (%)
43123.18 1
0.1%
39260.17 1
0.1%
36170.2 1
0.1%
34808.74 1
0.1%
34748.97 1
0.1%
34526.65 1
0.1%
32929.96 1
0.1%
32018.83 1
0.1%
31858.34 1
0.1%
31744.03 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20382.094
Minimum8943.81
Maximum45197.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:45.056051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8943.81
5-th percentile14597.918
Q116954.02
median19558.8
Q322341.46
95-th percentile30273.124
Maximum45197.71
Range36253.9
Interquartile range (IQR)5387.44

Descriptive statistics

Standard deviation4820.8551
Coefficient of variation (CV)0.23652403
Kurtosis2.4529629
Mean20382.094
Median Absolute Deviation (MAD)2679.32
Skewness1.3356618
Sum35974396
Variance23240644
MonotonicityNot monotonic
2024-01-10T06:32:45.166177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24137.07 2
 
0.1%
22183.42 1
 
0.1%
19094.57 1
 
0.1%
18209.94 1
 
0.1%
17988.91 1
 
0.1%
18446.34 1
 
0.1%
18576.9 1
 
0.1%
22108.63 1
 
0.1%
22060.68 1
 
0.1%
19707.22 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
8943.81 1
0.1%
11063.16 1
0.1%
11894.03 1
0.1%
12414.97 1
0.1%
12738.25 1
0.1%
12739.17 1
0.1%
12826.38 1
0.1%
12895.82 1
0.1%
13041.0 1
0.1%
13162.42 1
0.1%
ValueCountFrequency (%)
45197.71 1
0.1%
44684.7 1
0.1%
43346.69 1
0.1%
41635.99 1
0.1%
41332.94 1
0.1%
40401.21 1
0.1%
39796.89 1
0.1%
39495.72 1
0.1%
39193.57 1
0.1%
39097.67 1
0.1%

여성 40-44세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24307.242
Minimum9838.23
Maximum55185.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:45.304807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9838.23
5-th percentile17076.804
Q120239.94
median23292.7
Q326813.43
95-th percentile36317.818
Maximum55185.06
Range45346.83
Interquartile range (IQR)6573.49

Descriptive statistics

Standard deviation5716.5124
Coefficient of variation (CV)0.23517734
Kurtosis2.5179926
Mean24307.242
Median Absolute Deviation (MAD)3242.24
Skewness1.2932427
Sum42902281
Variance32678514
MonotonicityNot monotonic
2024-01-10T06:32:45.444597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21676.34 1
 
0.1%
24414.18 1
 
0.1%
21740.77 1
 
0.1%
22555.24 1
 
0.1%
22543.98 1
 
0.1%
24362.51 1
 
0.1%
25340.09 1
 
0.1%
23660.87 1
 
0.1%
22124.78 1
 
0.1%
22067.37 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
9838.23 1
0.1%
12661.07 1
0.1%
13751.11 1
0.1%
14139.26 1
0.1%
14234.23 1
0.1%
14350.89 1
0.1%
14557.02 1
0.1%
14577.84 1
0.1%
14582.58 1
0.1%
14694.28 1
0.1%
ValueCountFrequency (%)
55185.06 1
0.1%
51407.25 1
0.1%
49485.32 1
0.1%
49376.49 1
0.1%
48516.55 1
0.1%
48489.3 1
0.1%
47319.54 1
0.1%
47123.11 1
0.1%
45996.35 1
0.1%
45860.09 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23968.289
Minimum10674.49
Maximum51550.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:45.583146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10674.49
5-th percentile17898.616
Q120749.66
median23166.36
Q326215.11
95-th percentile33644.886
Maximum51550.95
Range40876.46
Interquartile range (IQR)5465.45

Descriptive statistics

Standard deviation4790.6072
Coefficient of variation (CV)0.19987272
Kurtosis2.5569986
Mean23968.289
Median Absolute Deviation (MAD)2663.91
Skewness1.2363083
Sum42304030
Variance22949917
MonotonicityNot monotonic
2024-01-10T06:32:45.737644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18690.97 2
 
0.1%
21508.24 2
 
0.1%
23981.85 2
 
0.1%
22243.73 1
 
0.1%
23084.12 1
 
0.1%
21883.5 1
 
0.1%
22309.76 1
 
0.1%
23035.73 1
 
0.1%
24007.39 1
 
0.1%
22782.85 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
10674.49 1
0.1%
13504.45 1
0.1%
14577.83 1
0.1%
14802.62 1
0.1%
14956.83 1
0.1%
15132.83 1
0.1%
15275.58 1
0.1%
15394.88 1
0.1%
15515.66 1
0.1%
15574.21 1
0.1%
ValueCountFrequency (%)
51550.95 1
0.1%
47830.15 1
0.1%
46855.57 1
0.1%
46628.94 1
0.1%
44972.67 1
0.1%
44338.12 1
0.1%
43385.87 1
0.1%
42456.42 1
0.1%
41828.61 1
0.1%
41617.64 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25898.889
Minimum11214.93
Maximum47228.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:45.859888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11214.93
5-th percentile19505.112
Q122893.38
median25587.12
Q328229.36
95-th percentile34331.052
Maximum47228.93
Range36014
Interquartile range (IQR)5335.98

Descriptive statistics

Standard deviation4342.5797
Coefficient of variation (CV)0.16767436
Kurtosis1.0235961
Mean25898.889
Median Absolute Deviation (MAD)2676.88
Skewness0.65239216
Sum45711540
Variance18857999
MonotonicityNot monotonic
2024-01-10T06:32:45.970322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21255.73 2
 
0.1%
23537.74 1
 
0.1%
25491.29 1
 
0.1%
27757.13 1
 
0.1%
25393.76 1
 
0.1%
24440.25 1
 
0.1%
25977.26 1
 
0.1%
26058.48 1
 
0.1%
26363.03 1
 
0.1%
26657.86 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
11214.93 1
0.1%
14126.83 1
0.1%
15220.18 1
0.1%
15943.44 1
0.1%
16185.89 1
0.1%
16368.23 1
0.1%
16535.22 1
0.1%
16617.67 1
0.1%
16623.81 1
0.1%
16771.09 1
0.1%
ValueCountFrequency (%)
47228.93 1
0.1%
44726.23 1
0.1%
43625.76 1
0.1%
41018.95 1
0.1%
40907.48 1
0.1%
40723.01 1
0.1%
39823.4 1
0.1%
39754.08 1
0.1%
39601.81 1
0.1%
39304.13 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26223.58
Minimum10325.67
Maximum42274.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:46.081010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10325.67
5-th percentile19229.028
Q123656.9
median26136.64
Q328735.27
95-th percentile33557.8
Maximum42274.64
Range31948.97
Interquartile range (IQR)5078.37

Descriptive statistics

Standard deviation4189.755
Coefficient of variation (CV)0.15977052
Kurtosis0.52949072
Mean26223.58
Median Absolute Deviation (MAD)2543.2
Skewness0.13212444
Sum46284619
Variance17554047
MonotonicityNot monotonic
2024-01-10T06:32:46.185643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27169.04 2
 
0.1%
28195.31 2
 
0.1%
25761.33 1
 
0.1%
25088.73 1
 
0.1%
26162.67 1
 
0.1%
27069.86 1
 
0.1%
26877.15 1
 
0.1%
26552.2 1
 
0.1%
26554.44 1
 
0.1%
26209.12 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
10325.67 1
0.1%
13516.02 1
0.1%
14048.13 1
0.1%
15156.17 1
0.1%
15205.28 1
0.1%
15269.15 1
0.1%
15321.31 1
0.1%
15329.9 1
0.1%
15336.51 1
0.1%
15573.39 1
0.1%
ValueCountFrequency (%)
42274.64 1
0.1%
40298.03 1
0.1%
39859.75 1
0.1%
39434.1 1
0.1%
38483.39 1
0.1%
38353.41 1
0.1%
38194.03 1
0.1%
38117.08 1
0.1%
37857.51 1
0.1%
37831.63 1
0.1%

여성 60-64세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122.001
Minimum7242.98
Maximum30883.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:46.525057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7242.98
5-th percentile14704.954
Q117848.83
median20060.37
Q322279.65
95-th percentile25565.016
Maximum30883.57
Range23640.59
Interquartile range (IQR)4430.82

Descriptive statistics

Standard deviation3297.4629
Coefficient of variation (CV)0.16387351
Kurtosis0.13704288
Mean20122.001
Median Absolute Deviation (MAD)2215.62
Skewness0.048749892
Sum35515333
Variance10873262
MonotonicityNot monotonic
2024-01-10T06:32:46.630252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12401.42 1
 
0.1%
19315.19 1
 
0.1%
19339.61 1
 
0.1%
20458.12 1
 
0.1%
21451.75 1
 
0.1%
19964.68 1
 
0.1%
19396.6 1
 
0.1%
20643.39 1
 
0.1%
20578.78 1
 
0.1%
20803.87 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
7242.98 1
0.1%
9874.32 1
0.1%
10433.81 1
0.1%
11210.52 1
0.1%
11349.87 1
0.1%
11407.47 1
0.1%
11629.59 1
0.1%
11752.13 1
0.1%
11852.18 1
0.1%
11856.04 1
0.1%
ValueCountFrequency (%)
30883.57 1
0.1%
30503.35 1
0.1%
30266.66 1
0.1%
30065.88 1
0.1%
30041.87 1
0.1%
29955.9 1
0.1%
29389.8 1
0.1%
29034.53 1
0.1%
28981.92 1
0.1%
28940.3 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15483.331
Minimum5083.93
Maximum24281.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:46.737769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5083.93
5-th percentile10596.764
Q113487.77
median15313.05
Q317419.3
95-th percentile20615.426
Maximum24281.35
Range19197.42
Interquartile range (IQR)3931.53

Descriptive statistics

Standard deviation2984.0907
Coefficient of variation (CV)0.19272925
Kurtosis-0.0096265952
Mean15483.331
Median Absolute Deviation (MAD)1929.38
Skewness0.0023039508
Sum27328078
Variance8904797.2
MonotonicityNot monotonic
2024-01-10T06:32:46.848158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17756.39 2
 
0.1%
15815.0 2
 
0.1%
8173.4 1
 
0.1%
14224.2 1
 
0.1%
15564.65 1
 
0.1%
16485.94 1
 
0.1%
18029.15 1
 
0.1%
15222.56 1
 
0.1%
14978.63 1
 
0.1%
16567.87 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5083.93 1
0.1%
6527.91 1
0.1%
6903.66 1
0.1%
7463.53 1
0.1%
7541.43 1
0.1%
7604.94 1
0.1%
7630.82 1
0.1%
7850.47 1
0.1%
7908.73 1
0.1%
7921.68 1
0.1%
ValueCountFrequency (%)
24281.35 1
0.1%
23996.07 1
0.1%
23684.37 1
0.1%
23610.28 1
0.1%
23565.21 1
0.1%
23050.42 1
0.1%
23026.17 1
0.1%
22680.27 1
0.1%
22504.73 1
0.1%
22447.88 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28876.671
Minimum9070.48
Maximum44146.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:32:46.958660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9070.48
5-th percentile18558.552
Q126652.64
median29033.82
Q331768.8
95-th percentile37019.758
Maximum44146.21
Range35075.73
Interquartile range (IQR)5116.16

Descriptive statistics

Standard deviation4944.101
Coefficient of variation (CV)0.17121437
Kurtosis1.5898315
Mean28876.671
Median Absolute Deviation (MAD)2550.39
Skewness-0.67362874
Sum50967324
Variance24444134
MonotonicityNot monotonic
2024-01-10T06:32:47.068325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31579.23 2
 
0.1%
26880.98 2
 
0.1%
11629.62 1
 
0.1%
26450.36 1
 
0.1%
29521.42 1
 
0.1%
31074.06 1
 
0.1%
32972.05 1
 
0.1%
27564.03 1
 
0.1%
27289.6 1
 
0.1%
30350.05 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
9070.48 1
0.1%
10677.73 1
0.1%
11629.62 1
0.1%
12135.6 1
0.1%
13067.03 1
0.1%
13254.45 1
0.1%
13268.34 1
0.1%
13418.29 1
0.1%
13424.69 1
0.1%
13441.05 1
0.1%
ValueCountFrequency (%)
44146.21 1
0.1%
43308.29 1
0.1%
42899.85 1
0.1%
41486.33 1
0.1%
40635.63 1
0.1%
40576.35 1
0.1%
40481.91 1
0.1%
40168.33 1
0.1%
39988.12 1
0.1%
39963.19 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
020190101보령시25065.6222283.4931346.1723444.6521274.0119844.321841.6319564.5419723.020669.9819083.2812136.468155.767983.5920530.2619979.3532055.5830336.4826399.5222618.022183.4221676.3422243.7323537.7418971.8412401.428173.411629.62
120190102보령시10025.589573.5527825.617249.7416171.7417562.9120071.3219256.1319397.6119591.517589.811828.618172.918273.7110359.428176.0818484.2516366.2713642.5614032.6114789.2214885.7615574.2117320.8514048.1310433.816903.6610677.73
220190103보령시7951.779158.1224313.1917216.6514460.717357.9219772.4920011.9320503.9820683.4819364.7713953.899820.0710876.926345.387736.9517317.6514194.412081.0813349.3314403.9214695.4915697.3515943.4415269.1511349.878157.013424.69
320190104보령시8177.7912454.3325618.4517859.9116929.4818901.6220085.5120890.6921821.7321790.3719836.4714218.089328.4911453.128430.169736.8919902.1915904.5513540.8915095.615890.5717062.0217661.9418722.7915971.4612346.818214.814815.42
420190105보령시13257.1319788.4826148.0120581.4518642.2120485.8622138.3221260.8221931.5222390.8421004.6714582.259501.3311211.8113545.6616804.2726478.3119855.3718126.9921877.1221031.5121730.6622135.4222783.0319239.914110.018966.814350.89
520190106보령시12268.6616618.8821627.718080.2716078.8516617.3718262.8917494.318599.6618548.4118719.5113340.578744.810530.9212109.5114947.5222947.8219032.0916380.6716836.4217241.5417475.8118842.8720250.0517582.8512866.318008.3913268.34
620190107보령시7075.49617.922140.8116458.7214861.0416292.9918209.0518395.3219543.4220416.0419336.6413220.348997.410757.337280.217233.0417394.7414503.2912043.3612395.1913379.2914350.8915275.5817780.3115675.7111407.477850.4713703.92
720190108보령시9147.337857.822703.6515957.8914755.1317388.5818572.4919175.1820056.8721691.6920235.1913694.769516.2311441.166021.517643.9217822.4214425.9413310.9412250.1513513.7715306.3915515.6617970.415903.6611902.577630.8213894.73
820190109보령시7544.448892.3622212.0916147.8413794.4116681.918249.9318255.3220038.2720548.1618636.5613300.249381.9910406.896724.187121.4316507.1412813.7811560.0511778.1812739.1715039.7515394.8816617.6715321.3111629.597463.5313865.71
920190110보령시8065.810361.0722040.7516133.9114870.8317539.619683.1819556.2820639.3121037.919232.2113464.229826.010961.557153.268904.3917119.8714369.5112550.0312636.4613983.0715148.8316269.3417139.5715336.5112041.718091.9913901.98
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
175520231022보령시18142.6412243.9317145.0618263.7819791.424703.4230117.9739392.9640824.9440230.9136128.9629141.3220923.5326624.7818977.3311206.9814021.9713196.5815177.9119463.4823791.4930451.7829188.4730663.8931771.7225502.3219654.5430918.8
175620231023보령시15806.589136.2114120.1618126.1420607.9324783.2228410.7835829.5136950.9338808.0634491.1328032.4921763.0332571.0916777.929312.2411283.9910569.0113929.0417940.8220698.6326904.5227241.2429126.5429351.4925538.1621473.0738085.46
175720231024보령시16349.518964.3412722.6218318.4520002.4724899.1928305.4135688.5337203.8739277.7735582.2628197.5522188.8733817.5416881.439266.3710113.7310596.6414240.217275.5520350.7526095.5726123.0829306.529898.8424282.3620971.5437133.47
175820231025보령시16661.829591.0614140.1417974.6719957.8324631.0428832.1936837.3238244.540439.9435403.8628370.2921981.8833369.317178.559656.110988.6310311.9414120.5418029.221053.4326441.3426507.4229106.6529782.3224702.3620942.0637232.09
175920231026보령시14316.688593.0114808.7317193.7618973.6124613.728323.936929.5437394.3939188.1634156.8527014.4420448.2230217.116127.148760.4710078.2910502.2313645.4717128.3320463.3826192.4925961.7428271.7429360.0323965.7920191.9436234.43
176020231027보령시17853.0810197.6116628.6419541.9519279.4425193.229182.6937907.2138766.340015.4835957.6627913.9821624.6131112.2718707.5910564.6212919.2713063.2614812.7518347.2122806.0928935.2828995.6331527.0930485.9724652.9320943.237195.32
176120231028보령시21544.0814946.4319000.9221738.6821856.4729012.635804.9547203.7649177.2448464.0343066.7333331.624919.3233586.024195.4614333.3216609.4617289.0918309.1724470.6829780.8837040.3838028.2938059.4637857.5130883.5723610.2838943.57
176220231029보령시21100.7612306.616927.2619205.3619864.2724533.3130765.4338700.4240056.9540571.4136905.6628976.4721672.5928082.5818218.5311750.1813927.2714272.4716044.0321173.9725161.8531099.230879.6531783.5433291.5926270.0220256.732227.63
176320231030보령시16076.699369.1114763.5417385.0419371.7424103.0827298.1933743.8234936.0437494.9734690.126935.0721793.0131306.7217891.599566.7811224.6911512.4814276.6818066.1720805.0526640.2226567.3628686.429668.8624880.7120518.7737368.05
176420231031보령시17687.278852.1512523.1117580.7119506.1724555.126464.1633606.234591.1637293.8934005.6926802.2221559.4331082.0716932.289215.3610104.2110944.5114028.2717053.9820181.8525971.0625819.3829059.6629897.0224861.5520700.7538056.42