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=3117

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 20-24세 유동인구수 has unique valuesUnique
남성 35-39세 유동인구수 has unique valuesUnique
남성 45-49세 유동인구수 has unique valuesUnique
남성 50-54세 유동인구수 has unique valuesUnique
남성 55-59세 유동인구수 has unique valuesUnique
여성 10세미만 유동인구수 has unique valuesUnique
여성 10-14세 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:12:49.143622
Analysis finished2024-01-09 23:12:49.569748
Duration0.43 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
2024-01-10T08:12:49.639403image/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
2024-01-10T08:12:49.759956image/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
논산시
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
논산시 1765
100.0%

Length

2024-01-10T08:12:49.878645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:12:49.967146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논산시 1765
100.0%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14149.526
Minimum5330.75
Maximum70786.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:50.071287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5330.75
5-th percentile8043.574
Q111511.1
median13701.42
Q316283.64
95-th percentile20820.848
Maximum70786.08
Range65455.33
Interquartile range (IQR)4772.54

Descriptive statistics

Standard deviation4465.9558
Coefficient of variation (CV)0.31562582
Kurtosis20.512464
Mean14149.526
Median Absolute Deviation (MAD)2360.58
Skewness2.5008077
Sum24973914
Variance19944761
MonotonicityNot monotonic
2024-01-10T08:12:50.191286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11668.48 2
 
0.1%
10723.42 2
 
0.1%
24232.74 1
 
0.1%
15281.42 1
 
0.1%
15174.37 1
 
0.1%
16570.31 1
 
0.1%
15464.36 1
 
0.1%
16875.63 1
 
0.1%
15684.59 1
 
0.1%
15771.28 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5330.75 1
0.1%
5375.59 1
0.1%
5737.64 1
0.1%
5983.27 1
0.1%
5991.09 1
0.1%
6131.29 1
0.1%
6132.45 1
0.1%
6150.96 1
0.1%
6159.49 1
0.1%
6262.11 1
0.1%
ValueCountFrequency (%)
70786.08 1
0.1%
53441.62 1
0.1%
41492.83 1
0.1%
36470.98 1
0.1%
36365.95 1
0.1%
36008.24 1
0.1%
34425.31 1
0.1%
34147.21 1
0.1%
33673.87 1
0.1%
33351.06 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9943.136
Minimum5025.92
Maximum74607.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:50.316113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5025.92
5-th percentile6551.576
Q17919.57
median9385.3
Q311320.05
95-th percentile14168.988
Maximum74607.77
Range69581.85
Interquartile range (IQR)3400.48

Descriptive statistics

Standard deviation3304.6395
Coefficient of variation (CV)0.33235385
Kurtosis91.239446
Mean9943.136
Median Absolute Deviation (MAD)1655.47
Skewness5.9975139
Sum17549635
Variance10920642
MonotonicityNot monotonic
2024-01-10T08:12:50.435068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7712.9 2
 
0.1%
8168.59 2
 
0.1%
14635.31 1
 
0.1%
8636.16 1
 
0.1%
7644.27 1
 
0.1%
7710.98 1
 
0.1%
7646.02 1
 
0.1%
9694.92 1
 
0.1%
9303.51 1
 
0.1%
8242.25 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5025.92 1
0.1%
5177.32 1
0.1%
5731.12 1
0.1%
5743.18 1
0.1%
5785.8 1
0.1%
5826.49 1
0.1%
5849.76 1
0.1%
5851.89 1
0.1%
5897.5 1
0.1%
5986.37 1
0.1%
ValueCountFrequency (%)
74607.77 1
0.1%
40492.76 1
0.1%
33870.3 1
0.1%
33754.26 1
0.1%
26045.99 1
0.1%
25434.36 1
0.1%
24064.63 1
0.1%
23786.38 1
0.1%
23625.63 1
0.1%
23393.23 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20854.072
Minimum10680.04
Maximum150543.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:50.556274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10680.04
5-th percentile15500.186
Q118301.19
median20561.65
Q322907.71
95-th percentile25866.056
Maximum150543.58
Range139863.54
Interquartile range (IQR)4606.52

Descriptive statistics

Standard deviation5021.6949
Coefficient of variation (CV)0.24080164
Kurtosis263.46685
Mean20854.072
Median Absolute Deviation (MAD)2292.23
Skewness11.322647
Sum36807438
Variance25217420
MonotonicityNot monotonic
2024-01-10T08:12:50.676507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23201.28 2
 
0.1%
19380.69 2
 
0.1%
19067.77 2
 
0.1%
29521.05 1
 
0.1%
24557.77 1
 
0.1%
23901.34 1
 
0.1%
24289.3 1
 
0.1%
25194.91 1
 
0.1%
25876.96 1
 
0.1%
24474.68 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
10680.04 1
0.1%
10919.97 1
0.1%
12322.6 1
0.1%
12391.72 1
0.1%
12621.63 1
0.1%
13493.47 1
0.1%
13573.92 1
0.1%
13599.92 1
0.1%
13612.55 1
0.1%
13652.75 1
0.1%
ValueCountFrequency (%)
150543.58 1
0.1%
69776.68 1
0.1%
66819.73 1
0.1%
63722.4 1
0.1%
40582.96 1
0.1%
38047.6 1
0.1%
37598.78 1
0.1%
37268.78 1
0.1%
36938.62 1
0.1%
36615.94 1
0.1%

남성 20-24세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25799.669
Minimum13496.28
Maximum89419.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:51.080745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13496.28
5-th percentile19419.404
Q122396.54
median25379.14
Q328585.69
95-th percentile33439.146
Maximum89419.37
Range75923.09
Interquartile range (IQR)6189.15

Descriptive statistics

Standard deviation4773.983
Coefficient of variation (CV)0.18504047
Kurtosis18.837366
Mean25799.669
Median Absolute Deviation (MAD)3059.77
Skewness2.0208473
Sum45536416
Variance22790914
MonotonicityNot monotonic
2024-01-10T08:12:51.216174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25293.28 1
 
0.1%
27451.33 1
 
0.1%
31296.39 1
 
0.1%
31714.43 1
 
0.1%
39070.06 1
 
0.1%
28516.86 1
 
0.1%
27469.71 1
 
0.1%
30707.11 1
 
0.1%
34818.65 1
 
0.1%
30251.15 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
13496.28 1
0.1%
15521.01 1
0.1%
15546.82 1
0.1%
16454.47 1
0.1%
16626.6 1
0.1%
16787.05 1
0.1%
16815.33 1
0.1%
16821.05 1
0.1%
16938.13 1
0.1%
16999.99 1
0.1%
ValueCountFrequency (%)
89419.37 1
0.1%
50876.95 1
0.1%
50712.57 1
0.1%
48184.63 1
0.1%
48165.82 1
0.1%
47421.98 1
0.1%
43812.14 1
0.1%
43389.02 1
0.1%
42299.77 1
0.1%
41400.9 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22165.306
Minimum11877.43
Maximum73394.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:51.381094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11877.43
5-th percentile18103.642
Q120587.81
median22051.54
Q323574.43
95-th percentile25793.992
Maximum73394.82
Range61517.39
Interquartile range (IQR)2986.62

Descriptive statistics

Standard deviation2896.5988
Coefficient of variation (CV)0.13068165
Kurtosis59.731723
Mean22165.306
Median Absolute Deviation (MAD)1496.23
Skewness4.100875
Sum39121766
Variance8390284.5
MonotonicityNot monotonic
2024-01-10T08:12:51.541991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21153.68 2
 
0.1%
23061.14 1
 
0.1%
20909.6 1
 
0.1%
22857.27 1
 
0.1%
23285.41 1
 
0.1%
23588.25 1
 
0.1%
20957.92 1
 
0.1%
21757.72 1
 
0.1%
24697.22 1
 
0.1%
24901.9 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
11877.43 1
0.1%
12724.61 1
0.1%
15009.91 1
0.1%
15511.54 1
0.1%
15725.05 1
0.1%
15876.77 1
0.1%
16193.24 1
0.1%
16234.53 1
0.1%
16343.98 1
0.1%
16351.36 1
0.1%
ValueCountFrequency (%)
73394.82 1
0.1%
41049.73 1
0.1%
40597.16 1
0.1%
37972.36 1
0.1%
37577.16 1
0.1%
37468.38 1
0.1%
37441.72 1
0.1%
37357.77 1
0.1%
37237.78 1
0.1%
37006.17 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25846.409
Minimum14595.21
Maximum73993.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:51.680898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14595.21
5-th percentile20457.986
Q124044.56
median25820.03
Q327732.37
95-th percentile30223.182
Maximum73993.07
Range59397.86
Interquartile range (IQR)3687.81

Descriptive statistics

Standard deviation3389.4542
Coefficient of variation (CV)0.13113831
Kurtosis25.573547
Mean25846.409
Median Absolute Deviation (MAD)1858.6
Skewness2.0920182
Sum45618911
Variance11488400
MonotonicityNot monotonic
2024-01-10T08:12:51.801158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29578.41 2
 
0.1%
25360.24 1
 
0.1%
22959.36 1
 
0.1%
27642.29 1
 
0.1%
26683.38 1
 
0.1%
27940.51 1
 
0.1%
28374.93 1
 
0.1%
24530.32 1
 
0.1%
24768.45 1
 
0.1%
28192.34 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
14595.21 1
0.1%
15536.65 1
0.1%
16792.36 1
0.1%
17278.63 1
0.1%
17280.98 1
0.1%
17282.39 1
0.1%
17345.15 1
0.1%
17381.86 1
0.1%
17804.89 1
0.1%
17811.46 1
0.1%
ValueCountFrequency (%)
73993.07 1
0.1%
45885.04 1
0.1%
45651.2 1
0.1%
43376.82 1
0.1%
43130.99 1
0.1%
42295.13 1
0.1%
40738.27 1
0.1%
40579.39 1
0.1%
40308.54 1
0.1%
39897.16 1
0.1%

남성 35-39세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26931.49
Minimum13705.37
Maximum67841.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:51.929703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13705.37
5-th percentile20897.702
Q124386.96
median27598.95
Q329220.09
95-th percentile31584.914
Maximum67841.12
Range54135.75
Interquartile range (IQR)4833.13

Descriptive statistics

Standard deviation3716.5524
Coefficient of variation (CV)0.13800025
Kurtosis9.8855108
Mean26931.49
Median Absolute Deviation (MAD)2147.14
Skewness0.91159034
Sum47534079
Variance13812762
MonotonicityNot monotonic
2024-01-10T08:12:52.054930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25127.35 1
 
0.1%
24203.48 1
 
0.1%
26838.83 1
 
0.1%
27965.45 1
 
0.1%
27296.97 1
 
0.1%
23578.83 1
 
0.1%
24317.26 1
 
0.1%
27891.89 1
 
0.1%
27627.71 1
 
0.1%
27223.29 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
13705.37 1
0.1%
15967.55 1
0.1%
16109.13 1
0.1%
16590.18 1
0.1%
16995.46 1
0.1%
17218.79 1
0.1%
17302.13 1
0.1%
17391.06 1
0.1%
17567.34 1
0.1%
17677.48 1
0.1%
ValueCountFrequency (%)
67841.12 1
0.1%
48798.32 1
0.1%
45830.14 1
0.1%
45269.91 1
0.1%
44392.05 1
0.1%
42778.54 1
0.1%
41062.55 1
0.1%
40852.57 1
0.1%
40829.98 1
0.1%
40209.55 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35074.154
Minimum18181.52
Maximum68180.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:52.202230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18181.52
5-th percentile27480.514
Q132566.19
median35393.38
Q337955.05
95-th percentile41053.986
Maximum68180.62
Range49999.1
Interquartile range (IQR)5388.86

Descriptive statistics

Standard deviation4349.5576
Coefficient of variation (CV)0.12401033
Kurtosis3.3147369
Mean35074.154
Median Absolute Deviation (MAD)2693.88
Skewness0.19735851
Sum61905883
Variance18918651
MonotonicityNot monotonic
2024-01-10T08:12:52.349077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37768.0 2
 
0.1%
35463.32 2
 
0.1%
29970.98 1
 
0.1%
38748.4 1
 
0.1%
37147.16 1
 
0.1%
37675.09 1
 
0.1%
37478.53 1
 
0.1%
30829.15 1
 
0.1%
32225.34 1
 
0.1%
38482.66 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
18181.52 1
0.1%
20912.23 1
0.1%
22089.02 1
0.1%
22161.36 1
0.1%
22826.93 1
0.1%
22881.17 1
0.1%
22933.3 1
0.1%
23107.29 1
0.1%
23284.83 1
0.1%
23295.17 1
0.1%
ValueCountFrequency (%)
68180.62 1
0.1%
59081.89 1
0.1%
57792.38 1
0.1%
55916.03 1
0.1%
54507.89 1
0.1%
54032.3 1
0.1%
50409.4 1
0.1%
48226.16 1
0.1%
47492.7 1
0.1%
47357.77 1
0.1%

남성 45-49세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36954.354
Minimum19912.05
Maximum69638.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:52.482844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19912.05
5-th percentile28387.724
Q134268.37
median37326.95
Q340210.98
95-th percentile43151.166
Maximum69638.9
Range49726.85
Interquartile range (IQR)5942.61

Descriptive statistics

Standard deviation4676.1405
Coefficient of variation (CV)0.12653828
Kurtosis2.1654263
Mean36954.354
Median Absolute Deviation (MAD)2937.6
Skewness-0.059680163
Sum65224434
Variance21866290
MonotonicityNot monotonic
2024-01-10T08:12:52.611117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24290.17 1
 
0.1%
33800.22 1
 
0.1%
39585.94 1
 
0.1%
40758.61 1
 
0.1%
41829.42 1
 
0.1%
33586.52 1
 
0.1%
33674.32 1
 
0.1%
41417.44 1
 
0.1%
40998.48 1
 
0.1%
39143.21 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
19912.05 1
0.1%
22747.11 1
0.1%
23208.75 1
0.1%
23224.02 1
0.1%
23336.6 1
0.1%
23460.21 1
0.1%
23652.48 1
0.1%
23839.39 1
0.1%
23998.02 1
0.1%
24094.39 1
0.1%
ValueCountFrequency (%)
69638.9 1
0.1%
61028.59 1
0.1%
60093.26 1
0.1%
56047.76 1
0.1%
53168.5 1
0.1%
52392.91 1
0.1%
51935.71 1
0.1%
51128.11 1
0.1%
51119.5 1
0.1%
48581.12 1
0.1%

남성 50-54세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39083.883
Minimum20708.82
Maximum68679.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:52.737194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20708.82
5-th percentile30490.326
Q136264.23
median39499.03
Q342399.69
95-th percentile46066.14
Maximum68679.81
Range47970.99
Interquartile range (IQR)6135.46

Descriptive statistics

Standard deviation4834.4555
Coefficient of variation (CV)0.12369435
Kurtosis1.1635886
Mean39083.883
Median Absolute Deviation (MAD)3026.79
Skewness-0.20897481
Sum68983054
Variance23371960
MonotonicityNot monotonic
2024-01-10T08:12:52.869043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24982.56 1
 
0.1%
35176.76 1
 
0.1%
40759.68 1
 
0.1%
42134.43 1
 
0.1%
44489.72 1
 
0.1%
34675.54 1
 
0.1%
36134.41 1
 
0.1%
43936.55 1
 
0.1%
43719.0 1
 
0.1%
42349.1 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
20708.82 1
0.1%
23901.88 1
0.1%
24252.66 1
0.1%
24731.22 1
0.1%
24982.56 1
0.1%
25098.52 1
0.1%
25123.78 1
0.1%
25249.75 1
0.1%
25307.53 1
0.1%
25921.95 1
0.1%
ValueCountFrequency (%)
68679.81 1
0.1%
61089.47 1
0.1%
60900.2 1
0.1%
55106.29 1
0.1%
52603.15 1
0.1%
52303.38 1
0.1%
51760.94 1
0.1%
50821.59 1
0.1%
49728.21 1
0.1%
49132.96 1
0.1%

남성 55-59세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38701.564
Minimum20302.21
Maximum56418.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:52.994739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20302.21
5-th percentile30748.598
Q135922.25
median39004.53
Q341848.8
95-th percentile45467.218
Maximum56418.32
Range36116.11
Interquartile range (IQR)5926.55

Descriptive statistics

Standard deviation4518.1903
Coefficient of variation (CV)0.11674439
Kurtosis0.21034048
Mean38701.564
Median Absolute Deviation (MAD)2996.33
Skewness-0.39532723
Sum68308260
Variance20414043
MonotonicityNot monotonic
2024-01-10T08:12:53.123564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25932.34 1
 
0.1%
36740.11 1
 
0.1%
41245.59 1
 
0.1%
42588.89 1
 
0.1%
44757.66 1
 
0.1%
37097.3 1
 
0.1%
37326.58 1
 
0.1%
43281.31 1
 
0.1%
43397.75 1
 
0.1%
42587.88 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
20302.21 1
0.1%
23591.88 1
0.1%
24482.37 1
0.1%
24933.23 1
0.1%
25255.49 1
0.1%
25426.12 1
0.1%
25859.39 1
0.1%
25876.17 1
0.1%
25886.63 1
0.1%
25932.34 1
0.1%
ValueCountFrequency (%)
56418.32 1
0.1%
54848.72 1
0.1%
50521.29 1
0.1%
49620.35 1
0.1%
48431.16 1
0.1%
48305.72 1
0.1%
47963.93 1
0.1%
47822.4 1
0.1%
47812.91 1
0.1%
47570.5 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27982.908
Minimum13583.16
Maximum37319.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:53.256074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13583.16
5-th percentile21752.092
Q126078.54
median28251.92
Q330340.58
95-th percentile33047.674
Maximum37319.18
Range23736.02
Interquartile range (IQR)4262.04

Descriptive statistics

Standard deviation3350.9209
Coefficient of variation (CV)0.11974884
Kurtosis0.17125957
Mean27982.908
Median Absolute Deviation (MAD)2137.28
Skewness-0.51116755
Sum49389833
Variance11228671
MonotonicityNot monotonic
2024-01-10T08:12:53.390507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33052.94 2
 
0.1%
29130.98 2
 
0.1%
16498.93 1
 
0.1%
30705.58 1
 
0.1%
31460.33 1
 
0.1%
32356.12 1
 
0.1%
26949.45 1
 
0.1%
27012.59 1
 
0.1%
31598.94 1
 
0.1%
31582.64 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
13583.16 1
0.1%
16498.93 1
0.1%
16655.07 1
0.1%
17222.47 1
0.1%
17380.52 1
0.1%
17595.82 1
0.1%
17663.53 1
0.1%
17705.15 1
0.1%
17736.9 1
0.1%
17852.11 1
0.1%
ValueCountFrequency (%)
37319.18 1
0.1%
35422.85 1
0.1%
35041.38 1
0.1%
34876.07 1
0.1%
34847.48 1
0.1%
34752.0 1
0.1%
34442.4 1
0.1%
34386.53 1
0.1%
34364.64 1
0.1%
34212.72 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19704.493
Minimum8628.23
Maximum28428.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:53.519656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8628.23
5-th percentile14821.948
Q118193.96
median19986.39
Q321618.23
95-th percentile23458.376
Maximum28428.42
Range19800.19
Interquartile range (IQR)3424.27

Descriptive statistics

Standard deviation2644.3186
Coefficient of variation (CV)0.13419876
Kurtosis0.32177857
Mean19704.493
Median Absolute Deviation (MAD)1723
Skewness-0.59136659
Sum34778430
Variance6992420.6
MonotonicityNot monotonic
2024-01-10T08:12:53.664438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21058.59 2
 
0.1%
16769.03 2
 
0.1%
9646.06 1
 
0.1%
22628.13 1
 
0.1%
23360.76 1
 
0.1%
23722.35 1
 
0.1%
19416.8 1
 
0.1%
18994.0 1
 
0.1%
22803.42 1
 
0.1%
22788.47 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8628.23 1
0.1%
9646.06 1
0.1%
10320.34 1
0.1%
10680.06 1
0.1%
11104.11 1
0.1%
11269.08 1
0.1%
11350.28 1
0.1%
11554.94 1
0.1%
11566.28 1
0.1%
11569.15 1
0.1%
ValueCountFrequency (%)
28428.42 1
0.1%
25523.63 1
0.1%
25393.75 1
0.1%
25100.15 1
0.1%
25034.07 1
0.1%
24952.32 1
0.1%
24948.22 1
0.1%
24831.68 1
0.1%
24775.94 1
0.1%
24766.06 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28175.8
Minimum10138.19
Maximum39034.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:53.795572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10138.19
5-th percentile19588.152
Q126070.82
median28845.17
Q331184.48
95-th percentile33765.734
Maximum39034.45
Range28896.26
Interquartile range (IQR)5113.66

Descriptive statistics

Standard deviation4327.8078
Coefficient of variation (CV)0.15360018
Kurtosis1.1716549
Mean28175.8
Median Absolute Deviation (MAD)2545.18
Skewness-0.97265711
Sum49730286
Variance18729920
MonotonicityNot monotonic
2024-01-10T08:12:53.927695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28586.99 2
 
0.1%
10662.08 1
 
0.1%
30930.58 1
 
0.1%
33232.32 1
 
0.1%
32640.67 1
 
0.1%
27996.37 1
 
0.1%
26319.65 1
 
0.1%
32060.59 1
 
0.1%
32822.75 1
 
0.1%
30741.8 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
10138.19 1
0.1%
10662.08 1
0.1%
12001.39 1
0.1%
12184.72 1
0.1%
13231.52 1
0.1%
13281.72 1
0.1%
13404.95 1
0.1%
13719.23 1
0.1%
13784.53 1
0.1%
13875.7 1
0.1%
ValueCountFrequency (%)
39034.45 1
0.1%
37899.32 1
0.1%
37256.67 1
0.1%
36627.91 1
0.1%
36419.08 1
0.1%
36307.3 1
0.1%
36148.72 1
0.1%
36045.21 1
0.1%
36008.0 1
0.1%
35953.87 1
0.1%

여성 10세미만 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13662.606
Minimum4977.76
Maximum73616.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:54.051674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4977.76
5-th percentile7442.53
Q110885.66
median13335.63
Q315874.13
95-th percentile20304.556
Maximum73616.41
Range68638.65
Interquartile range (IQR)4988.47

Descriptive statistics

Standard deviation4514.2232
Coefficient of variation (CV)0.33040718
Kurtosis25.681206
Mean13662.606
Median Absolute Deviation (MAD)2496.1
Skewness2.8101341
Sum24114500
Variance20378211
MonotonicityNot monotonic
2024-01-10T08:12:54.170569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22717.21 1
 
0.1%
14109.54 1
 
0.1%
13937.8 1
 
0.1%
14054.18 1
 
0.1%
12992.6 1
 
0.1%
16088.79 1
 
0.1%
14609.36 1
 
0.1%
14019.04 1
 
0.1%
12789.21 1
 
0.1%
13040.27 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
4977.76 1
0.1%
5239.49 1
0.1%
5919.2 1
0.1%
5989.87 1
0.1%
5990.29 1
0.1%
6029.85 1
0.1%
6149.22 1
0.1%
6149.64 1
0.1%
6160.42 1
0.1%
6164.66 1
0.1%
ValueCountFrequency (%)
73616.41 1
0.1%
59397.52 1
0.1%
39521.19 1
0.1%
38786.92 1
0.1%
36580.01 1
0.1%
34681.85 1
0.1%
34173.63 1
0.1%
33975.37 1
0.1%
33150.08 1
0.1%
32892.51 1
0.1%

여성 10-14세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9744.1071
Minimum4775.55
Maximum79800.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:54.564172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4775.55
5-th percentile6676.078
Q18007.85
median9272.75
Q310701.54
95-th percentile13610.42
Maximum79800.06
Range75024.51
Interquartile range (IQR)2693.69

Descriptive statistics

Standard deviation3294.2245
Coefficient of variation (CV)0.33807351
Kurtosis129.88633
Mean9744.1071
Median Absolute Deviation (MAD)1313.9
Skewness7.7511995
Sum17198349
Variance10851915
MonotonicityNot monotonic
2024-01-10T08:12:54.723426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15700.48 1
 
0.1%
8449.94 1
 
0.1%
7766.86 1
 
0.1%
8082.06 1
 
0.1%
8015.25 1
 
0.1%
9356.42 1
 
0.1%
9117.12 1
 
0.1%
7947.14 1
 
0.1%
8158.22 1
 
0.1%
7983.49 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
4775.55 1
0.1%
5470.82 1
0.1%
5662.37 1
0.1%
5709.21 1
0.1%
5718.65 1
0.1%
5752.56 1
0.1%
5878.47 1
0.1%
5900.89 1
0.1%
5907.65 1
0.1%
5938.44 1
0.1%
ValueCountFrequency (%)
79800.06 1
0.1%
44474.96 1
0.1%
37189.7 1
0.1%
36873.06 1
0.1%
26893.91 1
0.1%
25791.19 1
0.1%
25538.36 1
0.1%
25318.09 1
0.1%
24047.09 1
0.1%
23818.12 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17462.236
Minimum9090.66
Maximum137025.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:54.853240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9090.66
5-th percentile12960.53
Q115511.22
median17129.76
Q318748.14
95-th percentile22033.136
Maximum137025.36
Range127934.7
Interquartile range (IQR)3236.92

Descriptive statistics

Standard deviation4648.6275
Coefficient of variation (CV)0.26621032
Kurtosis264.86442
Mean17462.236
Median Absolute Deviation (MAD)1618.54
Skewness11.843472
Sum30820846
Variance21609737
MonotonicityNot monotonic
2024-01-10T08:12:54.979016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18378.69 2
 
0.1%
27118.58 1
 
0.1%
16699.39 1
 
0.1%
18546.26 1
 
0.1%
18865.58 1
 
0.1%
19342.02 1
 
0.1%
19348.64 1
 
0.1%
16842.89 1
 
0.1%
19837.68 1
 
0.1%
17074.27 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
9090.66 1
0.1%
9758.07 1
0.1%
10356.05 1
0.1%
10404.75 1
0.1%
10791.55 1
0.1%
10825.27 1
0.1%
10866.5 1
0.1%
10890.39 1
0.1%
10961.23 1
0.1%
10999.48 1
0.1%
ValueCountFrequency (%)
137025.36 1
0.1%
67961.73 1
0.1%
63071.85 1
0.1%
58356.27 1
0.1%
38613.48 1
0.1%
37347.87 1
0.1%
36709.7 1
0.1%
36642.83 1
0.1%
35923.5 1
0.1%
35796.54 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20484.448
Minimum9643.75
Maximum112955.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:55.102988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9643.75
5-th percentile16168.72
Q117999.83
median20065.75
Q321953.69
95-th percentile25402.03
Maximum112955.19
Range103311.44
Interquartile range (IQR)3953.86

Descriptive statistics

Standard deviation4347.906
Coefficient of variation (CV)0.212254
Kurtosis127.64613
Mean20484.448
Median Absolute Deviation (MAD)1999.23
Skewness7.4850268
Sum36155050
Variance18904287
MonotonicityNot monotonic
2024-01-10T08:12:55.223338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20603.21 2
 
0.1%
21249.2 2
 
0.1%
30429.91 1
 
0.1%
22521.96 1
 
0.1%
22662.89 1
 
0.1%
21814.41 1
 
0.1%
20870.35 1
 
0.1%
22477.59 1
 
0.1%
23377.38 1
 
0.1%
22168.08 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
9643.75 1
0.1%
13763.98 1
0.1%
13895.65 1
0.1%
13938.42 1
0.1%
14452.12 1
0.1%
14554.58 1
0.1%
14759.75 1
0.1%
14789.87 1
0.1%
14795.08 1
0.1%
14822.11 1
0.1%
ValueCountFrequency (%)
112955.19 1
0.1%
63052.94 1
0.1%
58637.1 1
0.1%
51533.58 1
0.1%
47536.71 1
0.1%
40539.09 1
0.1%
40389.49 1
0.1%
39919.22 1
0.1%
39867.38 1
0.1%
39723.52 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16858.611
Minimum8120.49
Maximum78251.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:55.346453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8120.49
5-th percentile13909.054
Q115190.28
median16340.01
Q317644.01
95-th percentile21094.224
Maximum78251.9
Range70131.41
Interquartile range (IQR)2453.73

Descriptive statistics

Standard deviation3316.7763
Coefficient of variation (CV)0.19674078
Kurtosis82.670931
Mean16858.611
Median Absolute Deviation (MAD)1218.28
Skewness6.3704336
Sum29755449
Variance11001005
MonotonicityNot monotonic
2024-01-10T08:12:55.480095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17926.45 2
 
0.1%
15852.58 2
 
0.1%
17113.01 1
 
0.1%
16521.85 1
 
0.1%
17644.53 1
 
0.1%
17717.5 1
 
0.1%
17347.66 1
 
0.1%
17350.89 1
 
0.1%
16902.09 1
 
0.1%
16119.08 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8120.49 1
0.1%
10398.6 1
0.1%
11587.2 1
0.1%
11935.89 1
0.1%
12000.5 1
0.1%
12375.19 1
0.1%
12418.58 1
0.1%
12420.02 1
0.1%
12457.77 1
0.1%
12654.2 1
0.1%
ValueCountFrequency (%)
78251.9 1
0.1%
49923.6 1
0.1%
44799.18 1
0.1%
44551.55 1
0.1%
39483.17 1
0.1%
38342.13 1
0.1%
36271.85 1
0.1%
35366.05 1
0.1%
33828.8 1
0.1%
33384.92 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19384.536
Minimum9413.09
Maximum70384.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:55.605268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9413.09
5-th percentile15881.876
Q117520.39
median18898.19
Q320525.03
95-th percentile24018.454
Maximum70384.65
Range60971.56
Interquartile range (IQR)3004.64

Descriptive statistics

Standard deviation3330.168
Coefficient of variation (CV)0.17179509
Kurtosis46.183811
Mean19384.536
Median Absolute Deviation (MAD)1486.16
Skewness4.4692151
Sum34213705
Variance11090019
MonotonicityNot monotonic
2024-01-10T08:12:55.736219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19930.95 2
 
0.1%
17396.58 2
 
0.1%
17091.26 2
 
0.1%
23401.41 1
 
0.1%
20266.82 1
 
0.1%
18931.66 1
 
0.1%
19812.93 1
 
0.1%
19403.41 1
 
0.1%
19991.94 1
 
0.1%
19449.79 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
9413.09 1
0.1%
9903.75 1
0.1%
12239.41 1
0.1%
13157.12 1
0.1%
13210.59 1
0.1%
13788.43 1
0.1%
13888.8 1
0.1%
14010.6 1
0.1%
14100.71 1
0.1%
14111.36 1
0.1%
ValueCountFrequency (%)
70384.65 1
0.1%
56118.65 1
0.1%
44779.51 1
0.1%
42028.89 1
0.1%
39939.64 1
0.1%
38919.18 1
0.1%
38103.84 1
0.1%
36613.2 1
0.1%
36369.56 1
0.1%
35811.47 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21965.339
Minimum12551.82
Maximum78879.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:55.870910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12551.82
5-th percentile17959.544
Q119840.92
median21546.39
Q323137.35
95-th percentile27386.392
Maximum78879.71
Range66327.89
Interquartile range (IQR)3296.43

Descriptive statistics

Standard deviation3713.4548
Coefficient of variation (CV)0.16905975
Kurtosis45.148861
Mean21965.339
Median Absolute Deviation (MAD)1654.62
Skewness4.3241958
Sum38768823
Variance13789746
MonotonicityNot monotonic
2024-01-10T08:12:55.998149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19707.12 2
 
0.1%
24885.34 1
 
0.1%
20967.53 1
 
0.1%
20997.4 1
 
0.1%
21326.03 1
 
0.1%
21463.88 1
 
0.1%
22252.84 1
 
0.1%
21280.84 1
 
0.1%
22322.1 1
 
0.1%
21645.29 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12551.82 1
0.1%
12647.6 1
0.1%
13909.86 1
0.1%
14375.19 1
0.1%
14536.3 1
0.1%
14549.47 1
0.1%
14689.16 1
0.1%
15131.07 1
0.1%
15306.93 1
0.1%
15329.88 1
0.1%
ValueCountFrequency (%)
78879.71 1
0.1%
62620.43 1
0.1%
50928.91 1
0.1%
44942.3 1
0.1%
43638.46 1
0.1%
42880.64 1
0.1%
42139.72 1
0.1%
40639.45 1
0.1%
40400.78 1
0.1%
39654.43 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26443.732
Minimum12620.91
Maximum79730.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:56.124245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12620.91
5-th percentile20878.996
Q124185.86
median26197.32
Q328328.27
95-th percentile32051.244
Maximum79730.76
Range67109.85
Interquartile range (IQR)4142.41

Descriptive statistics

Standard deviation3919.6805
Coefficient of variation (CV)0.14822721
Kurtosis25.115916
Mean26443.732
Median Absolute Deviation (MAD)2063.41
Skewness2.5938447
Sum46673187
Variance15363895
MonotonicityNot monotonic
2024-01-10T08:12:56.254951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25735.33 2
 
0.1%
21985.37 1
 
0.1%
23871.98 1
 
0.1%
26725.22 1
 
0.1%
26241.24 1
 
0.1%
27107.08 1
 
0.1%
27141.61 1
 
0.1%
26281.8 1
 
0.1%
25815.37 1
 
0.1%
27622.2 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12620.91 1
0.1%
16072.08 1
0.1%
16116.59 1
0.1%
16351.17 1
0.1%
16356.11 1
0.1%
17246.74 1
0.1%
17276.22 1
0.1%
17380.05 1
0.1%
17391.06 1
0.1%
17663.97 1
0.1%
ValueCountFrequency (%)
79730.76 1
0.1%
58956.08 1
0.1%
49749.28 1
0.1%
49581.24 1
0.1%
48655.88 1
0.1%
46158.39 1
0.1%
46103.6 1
0.1%
45769.39 1
0.1%
43270.84 1
0.1%
43150.39 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26886.094
Minimum13706.17
Maximum78534.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:56.388769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13706.17
5-th percentile21388.642
Q124641.04
median26836.73
Q328901.62
95-th percentile31829.314
Maximum78534.51
Range64828.34
Interquartile range (IQR)4260.58

Descriptive statistics

Standard deviation3686.1876
Coefficient of variation (CV)0.13710387
Kurtosis24.708017
Mean26886.094
Median Absolute Deviation (MAD)2128.9
Skewness2.237645
Sum47453956
Variance13587979
MonotonicityNot monotonic
2024-01-10T08:12:56.516926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25314.62 2
 
0.1%
27721.05 2
 
0.1%
22834.07 1
 
0.1%
28711.93 1
 
0.1%
26920.44 1
 
0.1%
26558.05 1
 
0.1%
27445.23 1
 
0.1%
28971.47 1
 
0.1%
25656.31 1
 
0.1%
25791.13 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
13706.17 1
0.1%
16313.29 1
0.1%
16587.31 1
0.1%
17552.16 1
0.1%
17833.42 1
0.1%
17864.27 1
0.1%
17943.34 1
0.1%
17955.72 1
0.1%
18063.06 1
0.1%
18431.09 1
0.1%
ValueCountFrequency (%)
78534.51 1
0.1%
49211.4 1
0.1%
49084.37 1
0.1%
46249.65 1
0.1%
45454.55 1
0.1%
45437.46 1
0.1%
44741.77 1
0.1%
43536.62 1
0.1%
41908.89 1
0.1%
41328.72 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29529.31
Minimum15149.7
Maximum70202.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:56.642927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15149.7
5-th percentile24300.684
Q127367.83
median29492.35
Q331566.83
95-th percentile34527.758
Maximum70202.52
Range55052.82
Interquartile range (IQR)4199

Descriptive statistics

Standard deviation3430.2157
Coefficient of variation (CV)0.11616308
Kurtosis12.396519
Mean29529.31
Median Absolute Deviation (MAD)2101.14
Skewness1.2241165
Sum52119233
Variance11766380
MonotonicityNot monotonic
2024-01-10T08:12:56.764836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29325.22 2
 
0.1%
24655.9 1
 
0.1%
29320.06 1
 
0.1%
30102.35 1
 
0.1%
32001.56 1
 
0.1%
28747.02 1
 
0.1%
28545.67 1
 
0.1%
30639.62 1
 
0.1%
30322.93 1
 
0.1%
29016.45 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
15149.7 1
0.1%
18531.47 1
0.1%
19158.29 1
0.1%
19785.34 1
0.1%
19980.33 1
0.1%
20463.7 1
0.1%
20470.88 1
0.1%
20935.34 1
0.1%
21144.24 1
0.1%
21339.69 1
0.1%
ValueCountFrequency (%)
70202.52 1
0.1%
47927.94 1
0.1%
46020.57 1
0.1%
45016.92 1
0.1%
44517.08 1
0.1%
43781.88 1
0.1%
43432.94 1
0.1%
42734.24 1
0.1%
40882.57 1
0.1%
40745.04 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29498.173
Minimum13898.97
Maximum46209.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:56.892159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13898.97
5-th percentile23606.856
Q127519.15
median29575.21
Q331843.04
95-th percentile34501.1
Maximum46209.59
Range32310.62
Interquartile range (IQR)4323.89

Descriptive statistics

Standard deviation3352.7704
Coefficient of variation (CV)0.11366027
Kurtosis0.88353958
Mean29498.173
Median Absolute Deviation (MAD)2191.14
Skewness-0.17443713
Sum52064275
Variance11241069
MonotonicityNot monotonic
2024-01-10T08:12:57.023144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28403.41 2
 
0.1%
22283.72 1
 
0.1%
28182.44 1
 
0.1%
31267.14 1
 
0.1%
30229.07 1
 
0.1%
31251.98 1
 
0.1%
32666.81 1
 
0.1%
29684.22 1
 
0.1%
29637.53 1
 
0.1%
31478.94 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
13898.97 1
0.1%
17064.48 1
0.1%
17952.67 1
0.1%
19345.73 1
0.1%
19365.94 1
0.1%
19586.0 1
0.1%
19901.51 1
0.1%
20017.25 1
0.1%
20253.27 1
0.1%
20281.95 1
0.1%
ValueCountFrequency (%)
46209.59 1
0.1%
45300.62 1
0.1%
40937.86 1
0.1%
40577.38 1
0.1%
39617.35 1
0.1%
38981.24 1
0.1%
38749.66 1
0.1%
37826.4 1
0.1%
37706.37 1
0.1%
37344.02 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22092.356
Minimum10397.9
Maximum37030.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:57.152378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10397.9
5-th percentile17571.856
Q120387.35
median22253.2
Q323952.45
95-th percentile25753.128
Maximum37030.52
Range26632.62
Interquartile range (IQR)3565.1

Descriptive statistics

Standard deviation2590.2685
Coefficient of variation (CV)0.11724727
Kurtosis0.76191406
Mean22092.356
Median Absolute Deviation (MAD)1775.17
Skewness-0.28578079
Sum38993008
Variance6709491.1
MonotonicityNot monotonic
2024-01-10T08:12:57.286485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24270.04 2
 
0.1%
14069.44 1
 
0.1%
24188.02 1
 
0.1%
22621.36 1
 
0.1%
23655.29 1
 
0.1%
24009.58 1
 
0.1%
22163.56 1
 
0.1%
21306.81 1
 
0.1%
23591.76 1
 
0.1%
23791.43 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
10397.9 1
0.1%
12780.47 1
0.1%
13251.13 1
0.1%
13458.28 1
0.1%
13866.77 1
0.1%
14069.44 1
0.1%
14227.91 1
0.1%
14669.21 1
0.1%
14892.91 1
0.1%
14999.66 1
0.1%
ValueCountFrequency (%)
37030.52 1
0.1%
31282.94 1
0.1%
29502.3 1
0.1%
29155.33 1
0.1%
29093.91 1
0.1%
28735.14 1
0.1%
28542.04 1
0.1%
28077.21 1
0.1%
27841.53 1
0.1%
27717.42 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16314.152
Minimum6685.03
Maximum27052.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:57.425366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6685.03
5-th percentile12239.548
Q114853.21
median16455.8
Q318053.68
95-th percentile19571.994
Maximum27052.02
Range20366.99
Interquartile range (IQR)3200.47

Descriptive statistics

Standard deviation2252.4499
Coefficient of variation (CV)0.13806724
Kurtosis0.31356527
Mean16314.152
Median Absolute Deviation (MAD)1598.81
Skewness-0.40364336
Sum28794478
Variance5073530.7
MonotonicityNot monotonic
2024-01-10T08:12:57.562147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16742.5 2
 
0.1%
14016.84 2
 
0.1%
20146.75 2
 
0.1%
17006.55 1
 
0.1%
18432.27 1
 
0.1%
18279.81 1
 
0.1%
16154.79 1
 
0.1%
15712.36 1
 
0.1%
18237.84 1
 
0.1%
18065.81 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
6685.03 1
0.1%
8645.62 1
0.1%
8724.59 1
0.1%
9064.01 1
0.1%
9383.59 1
0.1%
9399.74 1
0.1%
9417.98 1
0.1%
9726.1 1
0.1%
9756.43 1
0.1%
9931.64 1
0.1%
ValueCountFrequency (%)
27052.02 1
0.1%
23734.91 1
0.1%
21823.66 1
0.1%
21738.8 1
0.1%
21486.31 1
0.1%
21317.33 1
0.1%
21315.91 1
0.1%
21011.21 1
0.1%
20858.97 1
0.1%
20774.67 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35662.986
Minimum13460.9
Maximum50693.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T08:12:57.692611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13460.9
5-th percentile24953.444
Q133500.3
median36486.45
Q339102.41
95-th percentile41830.08
Maximum50693.56
Range37232.66
Interquartile range (IQR)5602.11

Descriptive statistics

Standard deviation5078.5238
Coefficient of variation (CV)0.14240322
Kurtosis2.2900054
Mean35662.986
Median Absolute Deviation (MAD)2746.29
Skewness-1.2812011
Sum62945170
Variance25791404
MonotonicityNot monotonic
2024-01-10T08:12:57.834090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34923.24 2
 
0.1%
38759.91 2
 
0.1%
38597.1 1
 
0.1%
37846.34 1
 
0.1%
39388.31 1
 
0.1%
40787.11 1
 
0.1%
35149.77 1
 
0.1%
33398.55 1
 
0.1%
38470.42 1
 
0.1%
39119.52 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
13460.9 1
0.1%
16192.21 1
0.1%
16534.48 1
0.1%
16916.46 1
0.1%
17729.55 1
0.1%
17784.42 1
0.1%
17834.0 1
0.1%
18028.68 1
0.1%
18066.65 1
0.1%
18099.28 1
0.1%
ValueCountFrequency (%)
50693.56 1
0.1%
47536.63 1
0.1%
46462.31 1
0.1%
45985.7 1
0.1%
45849.51 1
0.1%
45554.41 1
0.1%
45516.7 1
0.1%
45485.85 1
0.1%
45363.87 1
0.1%
45223.02 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
020190101논산시24232.7414635.3129521.0525293.2823061.1425360.2425127.3524714.5224290.1724982.5625932.3416498.939646.0610662.0822717.2115700.4827118.5830429.9126254.7823401.4124885.3421985.3722834.0724655.922283.7214069.449064.0116192.21
120190102논산시15570.518041.4222168.1421570.4821047.1525379.3626625.7828876.8128393.7829077.6629595.6818292.8510680.0612001.3912664.268294.9318935.5520288.5716954.0617090.219876.4518035.4518996.1521497.1719365.9413458.288645.6216534.48
220190103논산시7091.567396.4718364.9822511.0519944.0924641.2226303.9528948.0230185.6331101.5930119.8520446.0112730.6915325.96804.457660.7515371.0219861.1416176.0316510.4918944.1218923.5319575.3822138.4120281.9514999.6610213.0718028.68
320190104논산시9225.139718.020545.023565.9323093.0626950.9128270.2630750.9231432.531436.6731337.5120918.2812968.9415184.6910308.5310385.2218407.7722211.0718228.918464.5420722.4420579.0720023.022545.720367.4115320.8410310.5718099.28
420190105논산시13337.0812935.7321166.9424314.1120644.5725839.3726615.7727917.9428314.329731.1529531.4120176.3212661.5515344.7415529.5514078.5623723.8125615.4422237.8522385.2424866.8924232.4524620.9626026.7723495.5817157.5311446.1419262.69
520190106논산시13909.5812519.8223894.024581.0719100.5222584.2822978.5624281.424151.3325307.5325426.1217222.4711104.1113281.7213105.4513535.6724534.4424966.9421832.320605.3821790.3722025.2321126.7622853.2821757.715731.9410551.3417784.42
620190107논산시7908.616605.8419844.1828688.4620054.1223702.2424381.5227607.130210.0931636.8229730.7720305.8512629.5115031.47681.878027.4919353.922692.1317400.1516217.6718239.6318763.0121003.022865.0919901.5114892.919931.6418102.31
720190108논산시8309.197411.2119800.5626033.7220342.725244.6125730.429158.6931067.1432623.1731451.2321216.113475.0416175.998729.728351.3317222.3321211.0816845.9316494.9318258.1519190.5422501.823331.4321054.3315379.510728.2419503.8
820190109논산시7087.246855.1619093.4219001.2318917.3323655.025501.7127806.029820.0630845.3430812.6820239.4612633.5514775.927628.397662.5417920.2419676.6815501.1715702.7317979.2818140.6319049.9222235.4120017.2514227.919399.7417729.55
920190110논산시8036.427737.6621619.8323299.9120178.9625502.5526122.4328705.931225.531956.9930998.6921235.1713333.3715479.328269.558338.8718363.6420704.2216661.9816500.5418264.9119610.5521078.1323535.7120521.4315356.7110477.1317834.0
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
175520231022논산시19416.7513293.9822188.4726173.3219095.4721166.2620203.930538.1332061.234199.1636555.2829202.323259.631515.8220058.8211569.5517836.2718885.0115983.0119627.3323205.4728758.928532.6832028.2534768.3329155.3321738.838803.15
175620231023논산시15714.779853.0722620.1127364.5420755.3223118.9721591.7631916.6635118.1937617.3136791.1828671.8121308.1531134.0715492.379893.5418149.1721590.9115151.0817085.2320892.426349.0427048.5128686.829235.8123760.8218354.0238680.32
175720231024논산시16211.679524.8921703.2725867.1821021.2923097.722611.8432276.9135955.639526.6838012.7328777.921100.3131715.515748.5210090.7918504.2821316.1715243.6917824.7720840.126279.5528757.0130242.7329682.123858.7918595.8239800.04
175820231025논산시16060.2210167.1321905.4725279.1821130.6323498.9821897.9232144.734597.0436917.7336765.8928173.721172.7431363.0715382.999997.1918091.2221953.0615478.8618047.4221026.1326269.0726626.0428041.5528983.9823721.4418297.4338818.65
175920231026논산시15916.4510037.3720776.7728682.7521978.223449.221713.5732145.4134268.3736734.836425.8728081.7720793.2231087.1815833.169821.818461.1821105.9115741.0818330.3521682.0926304.0226605.0228499.3628999.1923603.2418521.8939938.78
176020231027논산시17527.8210304.222564.3525348.1221497.6124266.4522648.8733255.0835834.3937680.7438103.9829050.0721566.3231751.4717128.911005.2620255.5220938.9316290.0618808.822838.2427722.4927121.1528818.6730402.3924685.5619189.140743.94
176120231028논산시20392.6113247.7420587.0527128.7320304.6421798.321418.9631678.0634186.9236776.3436481.5128320.3521564.6731353.3120074.0112158.0219049.4919663.9417320.3819604.5223172.1429006.6228621.2431324.3831825.9325317.4419400.2440204.02
176220231029논산시17345.9811850.7220690.0626598.5418489.6819594.4719251.0827129.2229200.5732403.6732795.1525862.2419248.2828011.3316427.4510884.1918300.518949.2515344.7617796.921328.125563.4525733.9928443.629798.9424210.4818051.5137329.23
176320231030논산시17153.419513.1222837.6526132.2720458.6923657.4721597.2432518.4935361.7237234.336378.8128311.2621256.2332275.8315853.539762.1718316.4821248.8515092.2717651.4521114.4326264.4426507.0329064.3928997.5223427.7818965.9440983.12
176420231031논산시15711.449901.9222419.5127003.1320404.8423303.4121657.3632892.2836097.438655.6537323.8628883.020955.9931840.0514785.639972.6318631.1222034.2115132.9317325.0320992.7426619.3528046.530465.529588.7623915.4718208.4740388.57