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=3114

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
여성 10세미만 유동인구수 has unique valuesUnique
여성 15-19세 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:28:18.244994
Analysis finished2024-01-09 21:28:18.673031
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
2024-01-10T06:28:18.731752image/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
2024-01-10T06:28:19.062878image/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
계룡시
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계룡시 1765
100.0%

Length

2024-01-10T06:28:19.161580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:28:19.236938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계룡시 1765
100.0%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5380.2497
Minimum1464.03
Maximum21581.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:19.323417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1464.03
5-th percentile2707.496
Q14017.22
median5006.91
Q36464.86
95-th percentile9152.472
Maximum21581.54
Range20117.51
Interquartile range (IQR)2447.64

Descriptive statistics

Standard deviation2044.0545
Coefficient of variation (CV)0.37991814
Kurtosis7.1803355
Mean5380.2497
Median Absolute Deviation (MAD)1227.64
Skewness1.5785618
Sum9496140.8
Variance4178158.7
MonotonicityNot monotonic
2024-01-10T06:28:19.450902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4502.26 2
 
0.1%
4136.84 2
 
0.1%
4756.5 2
 
0.1%
6849.04 1
 
0.1%
5763.9 1
 
0.1%
5892.48 1
 
0.1%
7037.02 1
 
0.1%
5549.02 1
 
0.1%
5754.07 1
 
0.1%
5841.99 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
1464.03 1
0.1%
1472.1 1
0.1%
1472.13 1
0.1%
1516.32 1
0.1%
1575.06 1
0.1%
1588.68 1
0.1%
1624.17 1
0.1%
1657.73 1
0.1%
1665.38 1
0.1%
1710.63 1
0.1%
ValueCountFrequency (%)
21581.54 1
0.1%
21160.51 1
0.1%
18577.02 1
0.1%
18377.78 1
0.1%
17668.63 1
0.1%
17225.77 1
0.1%
16384.22 1
0.1%
13255.29 1
0.1%
11494.59 1
0.1%
10922.3 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4611.8474
Minimum1664.82
Maximum12072.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:19.598626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1664.82
5-th percentile2942.64
Q13750.93
median4598.17
Q35405.7
95-th percentile6388.022
Maximum12072.19
Range10407.37
Interquartile range (IQR)1654.77

Descriptive statistics

Standard deviation1142.5065
Coefficient of variation (CV)0.24773295
Kurtosis2.2336674
Mean4611.8474
Median Absolute Deviation (MAD)823.82
Skewness0.63734923
Sum8139910.6
Variance1305321.2
MonotonicityNot monotonic
2024-01-10T06:28:19.742340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6310.97 2
 
0.1%
5896.84 2
 
0.1%
3443.65 1
 
0.1%
4601.46 1
 
0.1%
4603.19 1
 
0.1%
4503.93 1
 
0.1%
4830.41 1
 
0.1%
4287.98 1
 
0.1%
4761.75 1
 
0.1%
4737.6 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
1664.82 1
0.1%
1909.82 1
0.1%
2034.91 1
0.1%
2079.55 1
0.1%
2141.22 1
0.1%
2181.39 1
0.1%
2200.33 1
0.1%
2212.13 1
0.1%
2223.17 1
0.1%
2229.46 1
0.1%
ValueCountFrequency (%)
12072.19 1
0.1%
10779.39 1
0.1%
10724.59 1
0.1%
10647.18 1
0.1%
10513.0 1
0.1%
9924.66 1
0.1%
9379.28 1
0.1%
8039.21 1
0.1%
7898.54 1
0.1%
7757.31 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6154.5345
Minimum2819.04
Maximum13917.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:19.886490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2819.04
5-th percentile4098.082
Q14978.59
median6105.35
Q37232.37
95-th percentile8517.568
Maximum13917.17
Range11098.13
Interquartile range (IQR)2253.78

Descriptive statistics

Standard deviation1441.3172
Coefficient of variation (CV)0.23418784
Kurtosis-0.10259762
Mean6154.5345
Median Absolute Deviation (MAD)1127.02
Skewness0.39255935
Sum10862753
Variance2077395.1
MonotonicityNot monotonic
2024-01-10T06:28:20.025103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4837.61 2
 
0.1%
4121.5 2
 
0.1%
7531.63 2
 
0.1%
6056.35 2
 
0.1%
4624.81 2
 
0.1%
5486.74 1
 
0.1%
5518.66 1
 
0.1%
7241.36 1
 
0.1%
5131.91 1
 
0.1%
5155.89 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
2819.04 1
0.1%
3222.01 1
0.1%
3267.38 1
0.1%
3291.38 1
0.1%
3305.43 1
0.1%
3311.93 1
0.1%
3342.11 1
0.1%
3352.23 1
0.1%
3373.67 1
0.1%
3400.18 1
0.1%
ValueCountFrequency (%)
13917.17 1
0.1%
11333.81 1
0.1%
10746.93 1
0.1%
10743.41 1
0.1%
10686.37 1
0.1%
10617.17 1
0.1%
10301.8 1
0.1%
10138.72 1
0.1%
10086.99 1
0.1%
10040.87 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6554.6487
Minimum2725.22
Maximum14390.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:20.163914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2725.22
5-th percentile4433.66
Q15458.98
median6604.25
Q37548.28
95-th percentile8513.456
Maximum14390.2
Range11664.98
Interquartile range (IQR)2089.3

Descriptive statistics

Standard deviation1380.658
Coefficient of variation (CV)0.21063799
Kurtosis1.0190381
Mean6554.6487
Median Absolute Deviation (MAD)1025.64
Skewness0.39942259
Sum11568955
Variance1906216.6
MonotonicityNot monotonic
2024-01-10T06:28:20.303210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4750.15 2
 
0.1%
6308.82 2
 
0.1%
5716.03 2
 
0.1%
7469.04 2
 
0.1%
5618.76 2
 
0.1%
4226.56 1
 
0.1%
6077.4 1
 
0.1%
7531.71 1
 
0.1%
6510.82 1
 
0.1%
5970.89 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
2725.22 1
0.1%
3113.68 1
0.1%
3455.83 1
0.1%
3471.36 1
0.1%
3556.37 1
0.1%
3568.15 1
0.1%
3581.13 1
0.1%
3636.68 1
0.1%
3750.06 1
0.1%
3755.29 1
0.1%
ValueCountFrequency (%)
14390.2 1
0.1%
13201.88 1
0.1%
12642.38 1
0.1%
12508.84 1
0.1%
12060.05 1
0.1%
11877.79 1
0.1%
11642.07 1
0.1%
11569.9 1
0.1%
11403.85 1
0.1%
11194.97 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5229.0591
Minimum2729.63
Maximum9041.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:20.435575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2729.63
5-th percentile3554.01
Q14525
median5110.32
Q36063.64
95-th percentile6710.956
Maximum9041.06
Range6311.43
Interquartile range (IQR)1538.64

Descriptive statistics

Standard deviation1018.9967
Coefficient of variation (CV)0.19487191
Kurtosis-0.31192428
Mean5229.0591
Median Absolute Deviation (MAD)781.45
Skewness0.12135146
Sum9229289.2
Variance1038354.3
MonotonicityNot monotonic
2024-01-10T06:28:20.570793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6164.6 2
 
0.1%
4752.83 2
 
0.1%
5700.51 2
 
0.1%
4657.26 2
 
0.1%
4706.65 1
 
0.1%
6279.05 1
 
0.1%
4583.16 1
 
0.1%
4896.49 1
 
0.1%
5940.69 1
 
0.1%
6010.11 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2729.63 1
0.1%
2762.26 1
0.1%
2866.16 1
0.1%
2926.22 1
0.1%
2980.82 1
0.1%
3017.91 1
0.1%
3022.22 1
0.1%
3034.03 1
0.1%
3041.48 1
0.1%
3043.43 1
0.1%
ValueCountFrequency (%)
9041.06 1
0.1%
8981.48 1
0.1%
8859.8 1
0.1%
8829.09 1
0.1%
8718.51 1
0.1%
8312.92 1
0.1%
8274.73 1
0.1%
8156.21 1
0.1%
8076.62 1
0.1%
8030.35 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6839.4083
Minimum3069.49
Maximum11595.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:20.713017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3069.49
5-th percentile4201.866
Q15846.33
median6776.07
Q38153.95
95-th percentile8891.644
Maximum11595.06
Range8525.57
Interquartile range (IQR)2307.62

Descriptive statistics

Standard deviation1479.7765
Coefficient of variation (CV)0.21636031
Kurtosis-0.63208373
Mean6839.4083
Median Absolute Deviation (MAD)1169.83
Skewness-0.18135654
Sum12071556
Variance2189738.4
MonotonicityNot monotonic
2024-01-10T06:28:20.848113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5046.94 2
 
0.1%
8231.61 2
 
0.1%
5679.6 1
 
0.1%
8530.48 1
 
0.1%
8774.23 1
 
0.1%
8931.98 1
 
0.1%
5599.66 1
 
0.1%
5928.95 1
 
0.1%
8240.04 1
 
0.1%
8479.18 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
3069.49 1
0.1%
3220.93 1
0.1%
3300.27 1
0.1%
3363.76 1
0.1%
3482.76 1
0.1%
3504.24 1
0.1%
3513.71 1
0.1%
3533.56 1
0.1%
3538.66 1
0.1%
3582.92 1
0.1%
ValueCountFrequency (%)
11595.06 1
0.1%
11136.17 1
0.1%
10706.78 1
0.1%
10542.23 1
0.1%
10452.35 1
0.1%
10404.61 1
0.1%
10373.76 1
0.1%
10326.54 1
0.1%
10191.64 1
0.1%
10189.41 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8971.2363
Minimum3892.19
Maximum17075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:20.965768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3892.19
5-th percentile5424.996
Q17393.4
median9003.13
Q310731.55
95-th percentile11818.416
Maximum17075
Range13182.81
Interquartile range (IQR)3338.15

Descriptive statistics

Standard deviation2056.7169
Coefficient of variation (CV)0.2292568
Kurtosis-0.49703423
Mean8971.2363
Median Absolute Deviation (MAD)1679.2
Skewness-0.11083109
Sum15834232
Variance4230084.4
MonotonicityNot monotonic
2024-01-10T06:28:21.076389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8683.41 2
 
0.1%
11366.21 2
 
0.1%
10857.53 1
 
0.1%
10712.84 1
 
0.1%
11496.78 1
 
0.1%
10650.39 1
 
0.1%
7393.4 1
 
0.1%
7119.33 1
 
0.1%
10659.05 1
 
0.1%
11173.57 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
3892.19 1
0.1%
4030.14 1
0.1%
4090.41 1
0.1%
4104.06 1
0.1%
4247.8 1
0.1%
4311.36 1
0.1%
4362.23 1
0.1%
4402.51 1
0.1%
4407.09 1
0.1%
4407.25 1
0.1%
ValueCountFrequency (%)
17075.0 1
0.1%
16394.49 1
0.1%
15608.81 1
0.1%
15587.58 1
0.1%
15257.64 1
0.1%
15114.54 1
0.1%
14959.73 1
0.1%
14731.08 1
0.1%
13848.57 1
0.1%
13416.58 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11718.593
Minimum4718.52
Maximum23230.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:21.210118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4718.52
5-th percentile7246.466
Q110033.87
median11810.58
Q313921.07
95-th percentile15147.066
Maximum23230.79
Range18512.27
Interquartile range (IQR)3887.2

Descriptive statistics

Standard deviation2575.3299
Coefficient of variation (CV)0.21976443
Kurtosis-0.34937261
Mean11718.593
Median Absolute Deviation (MAD)2020.45
Skewness-0.25089434
Sum20683316
Variance6632323.8
MonotonicityNot monotonic
2024-01-10T06:28:21.350162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13883.77 2
 
0.1%
6133.14 1
 
0.1%
9792.42 1
 
0.1%
14289.83 1
 
0.1%
14567.15 1
 
0.1%
13816.95 1
 
0.1%
10024.74 1
 
0.1%
10133.75 1
 
0.1%
13864.36 1
 
0.1%
13996.5 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4718.52 1
0.1%
4880.9 1
0.1%
5162.05 1
0.1%
5333.78 1
0.1%
5403.01 1
0.1%
5444.89 1
0.1%
5455.14 1
0.1%
5520.38 1
0.1%
5559.98 1
0.1%
5593.29 1
0.1%
ValueCountFrequency (%)
23230.79 1
0.1%
21171.27 1
0.1%
19757.6 1
0.1%
19518.25 1
0.1%
19165.42 1
0.1%
19023.61 1
0.1%
18759.67 1
0.1%
18052.0 1
0.1%
17301.07 1
0.1%
16418.96 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13091.039
Minimum5578.04
Maximum20299.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:21.457555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5578.04
5-th percentile8493.818
Q111391.78
median13192.71
Q315290.26
95-th percentile16779.726
Maximum20299.88
Range14721.84
Interquartile range (IQR)3898.48

Descriptive statistics

Standard deviation2617.1519
Coefficient of variation (CV)0.19991934
Kurtosis-0.64122362
Mean13091.039
Median Absolute Deviation (MAD)1982.16
Skewness-0.34580155
Sum23105683
Variance6849483.8
MonotonicityNot monotonic
2024-01-10T06:28:21.562051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12282.02 2
 
0.1%
6500.9 1
 
0.1%
15933.74 1
 
0.1%
16560.73 1
 
0.1%
15526.94 1
 
0.1%
12250.8 1
 
0.1%
12747.03 1
 
0.1%
16118.59 1
 
0.1%
16297.0 1
 
0.1%
15988.61 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
5578.04 1
0.1%
5700.68 1
0.1%
6500.9 1
0.1%
6554.59 1
0.1%
6575.15 1
0.1%
6783.56 1
0.1%
6799.88 1
0.1%
6855.33 1
0.1%
6939.87 1
0.1%
6973.84 1
0.1%
ValueCountFrequency (%)
20299.88 1
0.1%
19213.38 1
0.1%
19210.76 1
0.1%
18887.91 1
0.1%
18499.96 1
0.1%
18443.18 1
0.1%
18397.37 1
0.1%
18092.49 1
0.1%
18062.11 1
0.1%
18061.21 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10821.852
Minimum4903.36
Maximum17052.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:21.670066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903.36
5-th percentile6969.306
Q19251.14
median10973.01
Q312806.28
95-th percentile13933.954
Maximum17052.97
Range12149.61
Interquartile range (IQR)3555.14

Descriptive statistics

Standard deviation2234.6026
Coefficient of variation (CV)0.20648984
Kurtosis-0.85508344
Mean10821.852
Median Absolute Deviation (MAD)1769.43
Skewness-0.28338923
Sum19100569
Variance4993448.6
MonotonicityNot monotonic
2024-01-10T06:28:21.774806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12943.99 2
 
0.1%
5236.01 1
 
0.1%
13653.94 1
 
0.1%
13396.95 1
 
0.1%
13578.45 1
 
0.1%
12866.17 1
 
0.1%
9667.99 1
 
0.1%
10465.0 1
 
0.1%
13379.71 1
 
0.1%
13547.57 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4903.36 1
0.1%
5046.99 1
0.1%
5236.01 1
0.1%
5387.18 1
0.1%
5528.99 1
0.1%
5634.15 1
0.1%
5694.05 1
0.1%
5704.97 1
0.1%
5799.94 1
0.1%
5838.29 1
0.1%
ValueCountFrequency (%)
17052.97 1
0.1%
15905.39 1
0.1%
15551.86 1
0.1%
15396.53 1
0.1%
15020.66 1
0.1%
14906.06 1
0.1%
14882.49 1
0.1%
14697.47 1
0.1%
14676.67 1
0.1%
14671.75 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8308.7478
Minimum3660.59
Maximum13156.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:21.880236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3660.59
5-th percentile5497.488
Q17137.54
median8270.36
Q39836.46
95-th percentile10667.362
Maximum13156.61
Range9496.02
Interquartile range (IQR)2698.92

Descriptive statistics

Standard deviation1665.2481
Coefficient of variation (CV)0.20042107
Kurtosis-0.89362782
Mean8308.7478
Median Absolute Deviation (MAD)1363.94
Skewness-0.21173734
Sum14664940
Variance2773051.3
MonotonicityNot monotonic
2024-01-10T06:28:21.984009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11027.49 2
 
0.1%
7081.74 2
 
0.1%
10073.39 2
 
0.1%
7716.88 1
 
0.1%
10383.94 1
 
0.1%
10635.42 1
 
0.1%
10083.93 1
 
0.1%
7642.9 1
 
0.1%
7815.06 1
 
0.1%
9949.86 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
3660.59 1
0.1%
4101.86 1
0.1%
4210.6 1
0.1%
4429.22 1
0.1%
4469.65 1
0.1%
4576.68 1
0.1%
4589.1 1
0.1%
4597.24 1
0.1%
4612.76 1
0.1%
4623.31 1
0.1%
ValueCountFrequency (%)
13156.61 1
0.1%
12136.45 1
0.1%
11666.01 1
0.1%
11560.66 1
0.1%
11474.8 1
0.1%
11419.76 1
0.1%
11301.36 1
0.1%
11260.36 1
0.1%
11241.51 1
0.1%
11233.66 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5363.3509
Minimum2409.05
Maximum8553.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:22.080190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2409.05
5-th percentile3570.602
Q14548.13
median5341.43
Q36322.34
95-th percentile6928.47
Maximum8553.3
Range6144.25
Interquartile range (IQR)1774.21

Descriptive statistics

Standard deviation1062.7693
Coefficient of variation (CV)0.19815398
Kurtosis-0.86790242
Mean5363.3509
Median Absolute Deviation (MAD)875.48
Skewness-0.12915174
Sum9466314.3
Variance1129478.6
MonotonicityNot monotonic
2024-01-10T06:28:22.176646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5102.37 2
 
0.1%
6635.2 2
 
0.1%
4866.11 2
 
0.1%
2981.68 1
 
0.1%
5066.18 1
 
0.1%
6693.89 1
 
0.1%
6455.34 1
 
0.1%
4716.38 1
 
0.1%
5194.39 1
 
0.1%
6478.56 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
2409.05 1
0.1%
2565.64 1
0.1%
2640.38 1
0.1%
2808.6 1
0.1%
2828.86 1
0.1%
2831.09 1
0.1%
2887.47 1
0.1%
2892.36 1
0.1%
2925.79 1
0.1%
2981.68 1
0.1%
ValueCountFrequency (%)
8553.3 1
0.1%
7983.23 1
0.1%
7914.23 1
0.1%
7818.42 1
0.1%
7719.54 1
0.1%
7518.43 1
0.1%
7399.31 1
0.1%
7380.79 1
0.1%
7373.37 1
0.1%
7349.64 1
0.1%
Distinct1757
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3228.2028
Minimum1356.36
Maximum6137.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:22.514941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1356.36
5-th percentile2118.248
Q12654.5
median3149.55
Q33793.66
95-th percentile4380.984
Maximum6137.24
Range4780.88
Interquartile range (IQR)1139.16

Descriptive statistics

Standard deviation717.69839
Coefficient of variation (CV)0.22232134
Kurtosis-0.45287993
Mean3228.2028
Median Absolute Deviation (MAD)558.25
Skewness0.22199649
Sum5697778
Variance515090.98
MonotonicityNot monotonic
2024-01-10T06:28:22.618317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4235.63 2
 
0.1%
4175.73 2
 
0.1%
3641.28 2
 
0.1%
2899.2 2
 
0.1%
3071.31 2
 
0.1%
3356.52 2
 
0.1%
3863.32 2
 
0.1%
2239.0 2
 
0.1%
3919.19 1
 
0.1%
3194.04 1
 
0.1%
Other values (1747) 1747
99.0%
ValueCountFrequency (%)
1356.36 1
0.1%
1413.89 1
0.1%
1569.89 1
0.1%
1643.23 1
0.1%
1658.3 1
0.1%
1659.56 1
0.1%
1769.19 1
0.1%
1778.37 1
0.1%
1787.13 1
0.1%
1788.65 1
0.1%
ValueCountFrequency (%)
6137.24 1
0.1%
5891.87 1
0.1%
5816.03 1
0.1%
5737.37 1
0.1%
5616.76 1
0.1%
5404.9 1
0.1%
5268.0 1
0.1%
5187.26 1
0.1%
5111.92 1
0.1%
5097.68 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3802.4613
Minimum1653.61
Maximum8257.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:22.718174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1653.61
5-th percentile2509.622
Q13154.22
median3686.86
Q34380.01
95-th percentile5388.45
Maximum8257.72
Range6604.11
Interquartile range (IQR)1225.79

Descriptive statistics

Standard deviation874.65999
Coefficient of variation (CV)0.23002469
Kurtosis0.087093704
Mean3802.4613
Median Absolute Deviation (MAD)601.58
Skewness0.49552715
Sum6711344.3
Variance765030.1
MonotonicityNot monotonic
2024-01-10T06:28:22.824477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5148.24 2
 
0.1%
3838.1 2
 
0.1%
3292.24 1
 
0.1%
4080.01 1
 
0.1%
4010.36 1
 
0.1%
4462.4 1
 
0.1%
4255.94 1
 
0.1%
3417.41 1
 
0.1%
3298.95 1
 
0.1%
4234.95 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
1653.61 1
0.1%
1777.93 1
0.1%
1790.03 1
0.1%
1849.99 1
0.1%
1885.56 1
0.1%
1946.89 1
0.1%
1954.27 1
0.1%
1973.64 1
0.1%
2007.21 1
0.1%
2071.69 1
0.1%
ValueCountFrequency (%)
8257.72 1
0.1%
7453.38 1
0.1%
6750.93 1
0.1%
6481.48 1
0.1%
6460.26 1
0.1%
6455.95 1
0.1%
6332.84 1
0.1%
6317.89 1
0.1%
6286.5 1
0.1%
6107.36 1
0.1%

여성 10세미만 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5502.5458
Minimum1564.01
Maximum17678.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:22.929478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1564.01
5-th percentile2817.418
Q14117.56
median5216.23
Q36722.55
95-th percentile8986.024
Maximum17678.46
Range16114.45
Interquartile range (IQR)2604.99

Descriptive statistics

Standard deviation1893.54
Coefficient of variation (CV)0.34412072
Kurtosis2.146652
Mean5502.5458
Median Absolute Deviation (MAD)1332.29
Skewness0.81013796
Sum9711993.3
Variance3585493.7
MonotonicityNot monotonic
2024-01-10T06:28:23.036077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4409.07 1
 
0.1%
5310.16 1
 
0.1%
6919.19 1
 
0.1%
6962.14 1
 
0.1%
7235.87 1
 
0.1%
5412.4 1
 
0.1%
4979.94 1
 
0.1%
7013.3 1
 
0.1%
7296.56 1
 
0.1%
7037.28 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
1564.01 1
0.1%
1654.78 1
0.1%
1666.84 1
0.1%
1681.54 1
0.1%
1748.6 1
0.1%
1779.81 1
0.1%
1795.66 1
0.1%
1808.46 1
0.1%
1838.52 1
0.1%
1845.66 1
0.1%
ValueCountFrequency (%)
17678.46 1
0.1%
16509.65 1
0.1%
15402.66 1
0.1%
14828.65 1
0.1%
14634.33 1
0.1%
13764.7 1
0.1%
13758.09 1
0.1%
11379.11 1
0.1%
10267.64 1
0.1%
10107.72 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4195.1154
Minimum1828.67
Maximum9509.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:23.146827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1828.67
5-th percentile2673.252
Q13442.38
median4166.8
Q34822.51
95-th percentile5946.862
Maximum9509.1
Range7680.43
Interquartile range (IQR)1380.13

Descriptive statistics

Standard deviation1015.3528
Coefficient of variation (CV)0.24203215
Kurtosis0.89733218
Mean4195.1154
Median Absolute Deviation (MAD)695.47
Skewness0.58124076
Sum7404378.7
Variance1030941.4
MonotonicityNot monotonic
2024-01-10T06:28:23.253545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4433.83 2
 
0.1%
4170.24 2
 
0.1%
5036.84 2
 
0.1%
4035.89 2
 
0.1%
3352.15 2
 
0.1%
4221.36 2
 
0.1%
3426.45 2
 
0.1%
4331.42 1
 
0.1%
3699.8 1
 
0.1%
4039.21 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
1828.67 1
0.1%
1868.88 1
0.1%
2066.84 1
0.1%
2079.15 1
0.1%
2129.01 1
0.1%
2136.12 1
0.1%
2141.85 1
0.1%
2143.54 1
0.1%
2172.01 1
0.1%
2185.51 1
0.1%
ValueCountFrequency (%)
9509.1 1
0.1%
8836.27 1
0.1%
8822.03 1
0.1%
8461.3 1
0.1%
8351.91 1
0.1%
8346.35 1
0.1%
7792.72 1
0.1%
7718.73 1
0.1%
7510.95 1
0.1%
7443.11 1
0.1%

여성 15-19세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5417.4182
Minimum2452.7
Maximum12490.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:23.371560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2452.7
5-th percentile3789.242
Q14468.35
median5437.02
Q36227.8
95-th percentile7152.552
Maximum12490.33
Range10037.63
Interquartile range (IQR)1759.45

Descriptive statistics

Standard deviation1122.6539
Coefficient of variation (CV)0.20723042
Kurtosis0.70833813
Mean5417.4182
Median Absolute Deviation (MAD)893.92
Skewness0.38575153
Sum9561743.1
Variance1260351.7
MonotonicityNot monotonic
2024-01-10T06:28:23.490259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4956.97 1
 
0.1%
4841.1 1
 
0.1%
4883.56 1
 
0.1%
4767.59 1
 
0.1%
4954.93 1
 
0.1%
5085.84 1
 
0.1%
5160.13 1
 
0.1%
5788.89 1
 
0.1%
4425.94 1
 
0.1%
5008.71 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
2452.7 1
0.1%
2892.05 1
0.1%
2916.13 1
0.1%
2958.8 1
0.1%
3031.23 1
0.1%
3058.89 1
0.1%
3117.01 1
0.1%
3134.6 1
0.1%
3188.54 1
0.1%
3189.2 1
0.1%
ValueCountFrequency (%)
12490.33 1
0.1%
11466.19 1
0.1%
9661.8 1
0.1%
9545.38 1
0.1%
9483.12 1
0.1%
9302.8 1
0.1%
9075.69 1
0.1%
8566.74 1
0.1%
8497.68 1
0.1%
8355.17 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4120.4867
Minimum1906.25
Maximum10998.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:23.595163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1906.25
5-th percentile2920.788
Q13454.5
median4044.93
Q34721.08
95-th percentile5485.262
Maximum10998.69
Range9092.44
Interquartile range (IQR)1266.58

Descriptive statistics

Standard deviation880.27859
Coefficient of variation (CV)0.21363462
Kurtosis4.7188451
Mean4120.4867
Median Absolute Deviation (MAD)623.82
Skewness1.0467926
Sum7272659
Variance774890.4
MonotonicityNot monotonic
2024-01-10T06:28:23.699934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4248.77 2
 
0.1%
4420.38 2
 
0.1%
4457.29 2
 
0.1%
5063.63 2
 
0.1%
3734.52 2
 
0.1%
3855.61 1
 
0.1%
3178.53 1
 
0.1%
3590.43 1
 
0.1%
3849.1 1
 
0.1%
3675.73 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
1906.25 1
0.1%
2202.55 1
0.1%
2277.47 1
0.1%
2302.99 1
0.1%
2330.65 1
0.1%
2344.51 1
0.1%
2345.76 1
0.1%
2357.25 1
0.1%
2357.85 1
0.1%
2362.57 1
0.1%
ValueCountFrequency (%)
10998.69 1
0.1%
10544.57 1
0.1%
9788.66 1
0.1%
8637.53 1
0.1%
8286.7 1
0.1%
7988.87 1
0.1%
7864.79 1
0.1%
6898.11 1
0.1%
6894.58 1
0.1%
6669.33 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3899.4569
Minimum2043.58
Maximum9194.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:23.800394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2043.58
5-th percentile2829.614
Q13345.97
median3877.17
Q34403.15
95-th percentile4973.962
Maximum9194.12
Range7150.54
Interquartile range (IQR)1057.18

Descriptive statistics

Standard deviation724.36743
Coefficient of variation (CV)0.18576111
Kurtosis3.9573076
Mean3899.4569
Median Absolute Deviation (MAD)529.94
Skewness0.84074334
Sum6882541.4
Variance524708.17
MonotonicityNot monotonic
2024-01-10T06:28:23.908671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3437.76 2
 
0.1%
4422.55 2
 
0.1%
3004.3 2
 
0.1%
3306.48 2
 
0.1%
3403.5 2
 
0.1%
3266.53 2
 
0.1%
4517.36 2
 
0.1%
4195.96 1
 
0.1%
4425.6 1
 
0.1%
4396.42 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
2043.58 1
0.1%
2105.78 1
0.1%
2149.01 1
0.1%
2173.87 1
0.1%
2241.48 1
0.1%
2350.57 1
0.1%
2377.26 1
0.1%
2393.91 1
0.1%
2404.57 1
0.1%
2410.75 1
0.1%
ValueCountFrequency (%)
9194.12 1
0.1%
8951.62 1
0.1%
8294.58 1
0.1%
7617.45 1
0.1%
7458.8 1
0.1%
7264.88 1
0.1%
7204.73 1
0.1%
7172.51 1
0.1%
6107.52 1
0.1%
5948.65 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5856.0712
Minimum2771.13
Maximum13588.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:24.030109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2771.13
5-th percentile3907.002
Q14909.12
median5688.28
Q36917.32
95-th percentile7720.568
Maximum13588.97
Range10817.84
Interquartile range (IQR)2008.2

Descriptive statistics

Standard deviation1292.9419
Coefficient of variation (CV)0.22078657
Kurtosis1.8854534
Mean5856.0712
Median Absolute Deviation (MAD)989.72
Skewness0.57355891
Sum10335966
Variance1671698.7
MonotonicityNot monotonic
2024-01-10T06:28:24.140368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4753.35 2
 
0.1%
6995.91 2
 
0.1%
5366.76 1
 
0.1%
7098.15 1
 
0.1%
7004.23 1
 
0.1%
7021.39 1
 
0.1%
7113.3 1
 
0.1%
6657.29 1
 
0.1%
5289.35 1
 
0.1%
5285.99 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
2771.13 1
0.1%
2781.39 1
0.1%
2930.87 1
0.1%
3028.23 1
0.1%
3061.83 1
0.1%
3065.08 1
0.1%
3102.31 1
0.1%
3176.32 1
0.1%
3180.55 1
0.1%
3184.99 1
0.1%
ValueCountFrequency (%)
13588.97 1
0.1%
12874.83 1
0.1%
12798.32 1
0.1%
12746.81 1
0.1%
12574.53 1
0.1%
12350.47 1
0.1%
11282.88 1
0.1%
10713.41 1
0.1%
9899.11 1
0.1%
9270.02 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8453.8309
Minimum4112.03
Maximum22609.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:24.246963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4112.03
5-th percentile5507.612
Q17224.54
median8335.53
Q39943.72
95-th percentile11033.186
Maximum22609.5
Range18497.47
Interquartile range (IQR)2719.18

Descriptive statistics

Standard deviation1857.3023
Coefficient of variation (CV)0.21969949
Kurtosis5.0962504
Mean8453.8309
Median Absolute Deviation (MAD)1366.76
Skewness0.86764036
Sum14921012
Variance3449571.9
MonotonicityNot monotonic
2024-01-10T06:28:24.360526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6722.21 2
 
0.1%
10483.09 2
 
0.1%
5521.38 1
 
0.1%
7694.04 1
 
0.1%
10022.03 1
 
0.1%
9655.32 1
 
0.1%
10608.06 1
 
0.1%
9905.19 1
 
0.1%
7868.95 1
 
0.1%
7790.8 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4112.03 1
0.1%
4163.28 1
0.1%
4417.67 1
0.1%
4519.04 1
0.1%
4606.4 1
0.1%
4629.71 1
0.1%
4692.11 1
0.1%
4701.53 1
0.1%
4708.99 1
0.1%
4721.42 1
0.1%
ValueCountFrequency (%)
22609.5 1
0.1%
21421.07 1
0.1%
20745.24 1
0.1%
18996.1 1
0.1%
18897.41 1
0.1%
18452.2 1
0.1%
18125.78 1
0.1%
15059.23 1
0.1%
13298.1 1
0.1%
12948.35 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11243.018
Minimum4514.15
Maximum23724.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:24.467806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4514.15
5-th percentile7226.466
Q19657.59
median11192.79
Q313281.08
95-th percentile14617.708
Maximum23724.59
Range19210.44
Interquartile range (IQR)3623.49

Descriptive statistics

Standard deviation2425.0569
Coefficient of variation (CV)0.21569448
Kurtosis0.35641602
Mean11243.018
Median Absolute Deviation (MAD)1892.38
Skewness0.050076431
Sum19843926
Variance5880900.8
MonotonicityNot monotonic
2024-01-10T06:28:24.579390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10388.87 2
 
0.1%
11330.27 2
 
0.1%
6009.93 1
 
0.1%
13425.73 1
 
0.1%
13448.98 1
 
0.1%
13458.79 1
 
0.1%
14047.14 1
 
0.1%
13584.19 1
 
0.1%
10358.87 1
 
0.1%
10187.32 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4514.15 1
0.1%
5381.07 1
0.1%
5458.02 1
0.1%
5500.94 1
0.1%
5526.38 1
0.1%
5764.42 1
0.1%
5769.14 1
0.1%
5880.71 1
0.1%
5921.09 1
0.1%
5980.87 1
0.1%
ValueCountFrequency (%)
23724.59 1
0.1%
22805.98 1
0.1%
22162.89 1
0.1%
20901.3 1
0.1%
20759.82 1
0.1%
20076.5 1
0.1%
19843.46 1
0.1%
18778.62 1
0.1%
16807.24 1
0.1%
16359.62 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10837.91
Minimum4909.02
Maximum17261.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:24.693681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4909.02
5-th percentile7167.814
Q19369.26
median10779.25
Q312597.8
95-th percentile14042.148
Maximum17261.58
Range12352.56
Interquartile range (IQR)3228.54

Descriptive statistics

Standard deviation2178.5776
Coefficient of variation (CV)0.20101455
Kurtosis-0.65685472
Mean10837.91
Median Absolute Deviation (MAD)1681.01
Skewness-0.17069328
Sum19128911
Variance4746200.4
MonotonicityNot monotonic
2024-01-10T06:28:24.800899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9248.45 2
 
0.1%
11921.87 2
 
0.1%
12404.94 2
 
0.1%
12376.02 2
 
0.1%
5865.72 1
 
0.1%
9377.46 1
 
0.1%
12765.8 1
 
0.1%
13344.98 1
 
0.1%
12917.5 1
 
0.1%
10082.75 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
4909.02 1
0.1%
5227.29 1
0.1%
5490.69 1
0.1%
5617.11 1
0.1%
5682.1 1
0.1%
5733.39 1
0.1%
5773.64 1
0.1%
5839.75 1
0.1%
5856.75 1
0.1%
5865.72 1
0.1%
ValueCountFrequency (%)
17261.58 1
0.1%
17105.36 1
0.1%
17104.42 1
0.1%
16890.47 1
0.1%
16717.03 1
0.1%
16108.1 1
0.1%
16050.11 1
0.1%
16044.02 1
0.1%
14926.74 1
0.1%
14833.17 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8210.1618
Minimum3479.01
Maximum13724.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:24.906042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3479.01
5-th percentile5430.312
Q17080.83
median8159.34
Q39662.21
95-th percentile10536.728
Maximum13724.04
Range10245.03
Interquartile range (IQR)2581.38

Descriptive statistics

Standard deviation1644.784
Coefficient of variation (CV)0.20033515
Kurtosis-0.74768749
Mean8210.1618
Median Absolute Deviation (MAD)1334.65
Skewness-0.20635288
Sum14490936
Variance2705314.4
MonotonicityNot monotonic
2024-01-10T06:28:25.013771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10031.1 2
 
0.1%
7371.07 2
 
0.1%
9955.56 2
 
0.1%
6327.75 2
 
0.1%
5912.74 2
 
0.1%
8537.64 2
 
0.1%
9556.05 1
 
0.1%
7505.99 1
 
0.1%
7739.25 1
 
0.1%
9747.49 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
3479.01 1
0.1%
4057.8 1
0.1%
4224.15 1
0.1%
4308.78 1
0.1%
4373.27 1
0.1%
4388.39 1
0.1%
4442.04 1
0.1%
4445.24 1
0.1%
4453.07 1
0.1%
4499.02 1
0.1%
ValueCountFrequency (%)
13724.04 1
0.1%
12921.29 1
0.1%
12680.59 1
0.1%
12420.41 1
0.1%
11842.46 1
0.1%
11830.89 1
0.1%
11806.03 1
0.1%
11602.98 1
0.1%
11543.38 1
0.1%
11446.31 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6906.8226
Minimum2757.79
Maximum12248.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:25.392408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2757.79
5-th percentile4563.964
Q15756.45
median6831.84
Q38078.55
95-th percentile9257.42
Maximum12248.09
Range9490.3
Interquartile range (IQR)2322.1

Descriptive statistics

Standard deviation1469.9673
Coefficient of variation (CV)0.2128283
Kurtosis-0.81872631
Mean6906.8226
Median Absolute Deviation (MAD)1161.82
Skewness0.041316482
Sum12190542
Variance2160803.8
MonotonicityNot monotonic
2024-01-10T06:28:25.501516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6567.56 2
 
0.1%
9068.16 2
 
0.1%
5710.36 2
 
0.1%
6650.35 2
 
0.1%
4017.76 1
 
0.1%
6411.66 1
 
0.1%
8131.56 1
 
0.1%
6127.85 1
 
0.1%
6004.72 1
 
0.1%
8445.25 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
2757.79 1
0.1%
3582.03 1
0.1%
3620.16 1
0.1%
3645.1 1
0.1%
3684.21 1
0.1%
3786.38 1
0.1%
3843.48 1
0.1%
3846.14 1
0.1%
3885.97 1
0.1%
3958.66 1
0.1%
ValueCountFrequency (%)
12248.09 1
0.1%
10902.0 1
0.1%
10663.74 1
0.1%
10478.53 1
0.1%
10196.91 1
0.1%
10009.88 1
0.1%
10006.94 1
0.1%
9979.32 1
0.1%
9902.33 1
0.1%
9885.75 1
0.1%
Distinct1758
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4333.2337
Minimum2097.7
Maximum8301.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:25.604817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2097.7
5-th percentile3080.516
Q13702.39
median4265.17
Q34917.31
95-th percentile5789.012
Maximum8301.52
Range6203.82
Interquartile range (IQR)1214.92

Descriptive statistics

Standard deviation838.40875
Coefficient of variation (CV)0.19348339
Kurtosis0.064834811
Mean4333.2337
Median Absolute Deviation (MAD)606.83
Skewness0.38493551
Sum7648157.4
Variance702929.23
MonotonicityNot monotonic
2024-01-10T06:28:25.715759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3144.87 2
 
0.1%
3327.61 2
 
0.1%
5757.1 2
 
0.1%
3815.84 2
 
0.1%
5515.4 2
 
0.1%
3435.31 2
 
0.1%
3886.32 2
 
0.1%
4817.12 1
 
0.1%
4147.16 1
 
0.1%
4943.87 1
 
0.1%
Other values (1748) 1748
99.0%
ValueCountFrequency (%)
2097.7 1
0.1%
2333.41 1
0.1%
2388.0 1
0.1%
2406.19 1
0.1%
2415.75 1
0.1%
2496.19 1
0.1%
2549.18 1
0.1%
2593.06 1
0.1%
2605.16 1
0.1%
2612.94 1
0.1%
ValueCountFrequency (%)
8301.52 1
0.1%
7669.2 1
0.1%
7618.61 1
0.1%
7337.3 1
0.1%
7321.3 1
0.1%
7248.15 1
0.1%
6910.04 1
0.1%
6702.77 1
0.1%
6627.51 1
0.1%
6506.06 1
0.1%
Distinct1759
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2682.4435
Minimum1206.33
Maximum5954.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:25.830168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1206.33
5-th percentile1772.124
Q12165.71
median2607.25
Q33115.53
95-th percentile3863.124
Maximum5954.67
Range4748.34
Interquartile range (IQR)949.82

Descriptive statistics

Standard deviation652.70126
Coefficient of variation (CV)0.24332339
Kurtosis0.059130304
Mean2682.4435
Median Absolute Deviation (MAD)477.77
Skewness0.55189987
Sum4734512.8
Variance426018.94
MonotonicityNot monotonic
2024-01-10T06:28:25.946748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2117.69 2
 
0.1%
3468.25 2
 
0.1%
2255.01 2
 
0.1%
2882.33 2
 
0.1%
2821.76 2
 
0.1%
2694.22 2
 
0.1%
2336.45 1
 
0.1%
3204.18 1
 
0.1%
3012.07 1
 
0.1%
2568.41 1
 
0.1%
Other values (1749) 1749
99.1%
ValueCountFrequency (%)
1206.33 1
0.1%
1249.03 1
0.1%
1310.84 1
0.1%
1340.18 1
0.1%
1421.92 1
0.1%
1444.27 1
0.1%
1471.41 1
0.1%
1476.58 1
0.1%
1479.13 1
0.1%
1491.53 1
0.1%
ValueCountFrequency (%)
5954.67 1
0.1%
5237.95 1
0.1%
5077.38 1
0.1%
5016.7 1
0.1%
4983.3 1
0.1%
4835.96 1
0.1%
4741.28 1
0.1%
4564.68 1
0.1%
4421.08 1
0.1%
4357.6 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5827.3525
Minimum2158.46
Maximum9948.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T06:28:26.065045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2158.46
5-th percentile3873.532
Q15038.17
median5695.62
Q36556.77
95-th percentile8204.452
Maximum9948.74
Range7790.28
Interquartile range (IQR)1518.6

Descriptive statistics

Standard deviation1244.2975
Coefficient of variation (CV)0.21352708
Kurtosis-8.0869369 × 10-5
Mean5827.3525
Median Absolute Deviation (MAD)758.66
Skewness0.33307041
Sum10285277
Variance1548276.4
MonotonicityNot monotonic
2024-01-10T06:28:26.179999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4570.47 2
 
0.1%
5085.46 2
 
0.1%
5316.49 2
 
0.1%
2727.96 1
 
0.1%
5250.47 1
 
0.1%
6194.05 1
 
0.1%
6845.48 1
 
0.1%
6532.74 1
 
0.1%
5391.14 1
 
0.1%
5253.77 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
2158.46 1
0.1%
2254.42 1
0.1%
2476.57 1
0.1%
2709.94 1
0.1%
2727.96 1
0.1%
2864.88 1
0.1%
2925.25 1
0.1%
2955.36 1
0.1%
2998.12 1
0.1%
3017.67 1
0.1%
ValueCountFrequency (%)
9948.74 1
0.1%
9908.81 1
0.1%
9422.65 1
0.1%
9411.38 1
0.1%
9236.22 1
0.1%
9127.34 1
0.1%
9081.42 1
0.1%
9019.59 1
0.1%
8953.32 1
0.1%
8948.91 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
020190101계룡시5561.513443.655486.744226.563306.624197.794628.76133.146500.95236.014640.752981.681787.131653.614409.074233.754956.974825.313763.114493.385521.386009.935865.724453.074017.762549.181511.992727.96
120190102계룡시4770.442483.854744.534703.064102.196261.017381.058963.239157.146730.785361.963457.362116.952286.713673.093036.424507.993677.173351.964486.176803.176926.637290.884974.344140.152628.051680.982955.36
220190103계룡시2796.42271.44488.384527.74206.55756.037027.28643.1610161.017845.055963.963892.592371.882768.762580.232278.093869.93372.653473.054452.175817.197298.847748.055644.184556.983106.751957.233503.05
320190104계룡시2909.653243.114853.974704.53879.275186.086390.077982.889690.357370.35954.513678.212651.023044.983262.474347.724180.893770.614043.524485.225930.577409.618125.45602.114551.593355.712255.013800.84
420190105계룡시3125.482815.365062.934858.223149.624174.864816.396113.837786.56622.485239.553425.982223.92723.044249.52917.943843.814466.293822.374623.965012.976519.696955.034921.964452.662817.761904.93017.67
520190106계룡시3791.972793.674714.593929.493062.253652.464030.145559.986799.885634.154623.313103.162193.332255.273639.753213.593788.443836.143194.563881.814629.715381.075839.754442.043843.482807.771910.143188.05
620190107계룡시2824.562604.74692.234565.983719.525352.06220.377789.089219.077170.035611.613529.732029.092784.432727.833155.223681.613755.763050.074267.865631.397006.737450.995125.74466.82830.731825.782925.25
720190108계룡시3126.22670.714979.514288.293912.615484.856810.988221.279814.547477.635748.03979.312414.982869.362402.122714.614218.43446.633534.274543.026251.887577.687803.395607.824903.623138.991660.13558.76
820190109계룡시3697.972748.434525.814031.544009.735752.866559.568241.810033.427482.75513.443754.752344.032779.533254.142707.124003.683244.723428.194470.515973.957465.127465.965141.744527.682897.341550.843617.54
920190110계룡시3013.12688.844922.874055.53915.485778.916437.28379.359940.277399.225653.783712.622253.032674.333007.953160.514109.13379.613448.894221.686088.787713.557685.155616.394333.512833.712022.533314.49
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
175520231022계룡시8116.845676.027287.97680.854775.835840.268110.0810775.7512316.2110349.177837.125688.313780.624894.385911.824750.635866.614728.124561.595579.548154.010508.2410495.098387.516923.355407.373408.526863.22
175620231023계룡시8884.075811.37061.087604.97400.678230.4610948.7714290.5315538.9813361.439847.936951.814441.115481.619092.225384.746570.394624.175078.17237.9310392.0313598.3413170.510146.848681.125948.653854.288176.75
175720231024계룡시8984.195568.396923.67704.07464.678394.711588.3514776.2316409.1413869.310188.436955.414719.825714.079251.785344.546464.144853.195590.77537.6810468.4114210.0713784.610547.189374.326393.623990.688567.18
175820231025계룡시8896.575947.367200.387710.656973.068401.3511387.2114820.1315859.6613539.9910059.036845.044428.985471.198959.425648.436699.494454.755444.47550.5710766.5813859.8513505.7210295.378920.885888.433778.488404.86
175920231026계룡시8834.745742.217197.597699.076265.948099.0411119.7914352.5715801.4913370.549860.646736.264575.725673.48744.685542.736481.774996.794990.537178.1910512.1413423.3413395.3810328.598752.085868.583858.588065.21
176020231027계룡시9544.466600.168525.198308.416359.647763.4111203.4314734.015678.2813373.3410332.837077.614427.035630.949204.426122.37119.64947.275233.947485.310773.3714196.1313616.6310609.038864.416163.634053.18370.76
176120231028계룡시8579.715993.158345.298544.885022.396632.538385.8211495.1512773.4611597.498866.146246.394215.835306.447318.655249.977215.225326.724474.356186.098790.6511921.9711853.389415.878123.05743.243850.977955.05
176220231029계룡시7592.06049.18056.088214.414790.866109.828103.4810883.0112317.1310844.58297.045876.773830.435041.236530.134875.426577.575270.284651.686147.688449.9711424.8411143.078889.127414.075454.993677.087570.01
176320231030계룡시9504.215725.877136.517494.526165.418233.7510714.8214419.3615415.3513444.99397.446907.014367.565640.079022.585674.196469.864512.994834.637721.1810390.0513817.3612933.4110293.828773.725977.463960.718103.43
176420231031계룡시9685.835759.796915.057656.586993.838685.2711365.215037.6816060.3913776.8410521.337216.014573.445742.139571.215552.486454.684295.334872.327812.1911053.4514303.7213966.2910862.09170.656315.474056.258953.32