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=3113

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 55-59세 유동인구수 has unique valuesUnique
남성 65-69세 유동인구수 has unique valuesUnique
여성 10세미만 유동인구수 has unique valuesUnique
여성 55-59세 유동인구수 has unique valuesUnique
여성 70세이상 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:59:21.034783
Analysis finished2024-01-09 19:59:21.623318
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월일
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209954
Minimum20190101
Maximum20231031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:21.734831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190101
5-th percentile20190330
Q120200317
median20210601
Q320220816
95-th percentile20230804
Maximum20231031
Range40930
Interquartile range (IQR)20499

Descriptive statistics

Standard deviation13858.585
Coefficient of variation (CV)0.00068573064
Kurtosis-1.2604638
Mean20209954
Median Absolute Deviation (MAD)10230
Skewness0.04267975
Sum3.5670569 × 1010
Variance1.9206037 × 108
MonotonicityStrictly increasing
2024-01-10T04:59:21.943706image/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
예산군
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예산군 1765
100.0%

Length

2024-01-10T04:59:22.134456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:59:22.272803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산군 1765
100.0%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8398.0409
Minimum2903.88
Maximum42805.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:22.453047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2903.88
5-th percentile4202.684
Q15778.14
median7334.39
Q310152.41
95-th percentile16217.848
Maximum42805.83
Range39901.95
Interquartile range (IQR)4374.27

Descriptive statistics

Standard deviation3783.5637
Coefficient of variation (CV)0.45052932
Kurtosis5.8059652
Mean8398.0409
Median Absolute Deviation (MAD)1897.57
Skewness1.7434293
Sum14822542
Variance14315354
MonotonicityNot monotonic
2024-01-10T04:59:22.676753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7671.33 2
 
0.1%
17879.3 1
 
0.1%
8068.32 1
 
0.1%
6973.75 1
 
0.1%
7707.4 1
 
0.1%
11003.44 1
 
0.1%
9835.52 1
 
0.1%
6909.56 1
 
0.1%
6741.55 1
 
0.1%
6521.24 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
2903.88 1
0.1%
2905.9 1
0.1%
2921.48 1
0.1%
3070.7 1
0.1%
3140.06 1
0.1%
3150.65 1
0.1%
3159.55 1
0.1%
3160.21 1
0.1%
3203.54 1
0.1%
3210.82 1
0.1%
ValueCountFrequency (%)
42805.83 1
0.1%
29278.56 1
0.1%
26481.95 1
0.1%
26388.53 1
0.1%
26199.98 1
0.1%
23287.9 1
0.1%
22690.11 1
0.1%
22609.22 1
0.1%
21868.99 1
0.1%
20956.93 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5817.3609
Minimum2706.8
Maximum67882.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:22.903819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2706.8
5-th percentile3453.236
Q14097.46
median5183.15
Q36481.83
95-th percentile10121.684
Maximum67882.9
Range65176.1
Interquartile range (IQR)2384.37

Descriptive statistics

Standard deviation2996.5727
Coefficient of variation (CV)0.51510862
Kurtosis113.6521
Mean5817.3609
Median Absolute Deviation (MAD)1160.08
Skewness7.1349979
Sum10267642
Variance8979447.9
MonotonicityNot monotonic
2024-01-10T04:59:23.087538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3541.4 2
 
0.1%
3005.65 2
 
0.1%
15457.41 1
 
0.1%
4390.75 1
 
0.1%
3500.7 1
 
0.1%
3671.14 1
 
0.1%
3901.17 1
 
0.1%
3787.76 1
 
0.1%
5574.47 1
 
0.1%
5024.19 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
2706.8 1
0.1%
2725.55 1
0.1%
2798.05 1
0.1%
2931.84 1
0.1%
2999.61 1
0.1%
3005.65 2
0.1%
3018.47 1
0.1%
3040.07 1
0.1%
3051.31 1
0.1%
3056.6 1
0.1%
ValueCountFrequency (%)
67882.9 1
0.1%
34225.76 1
0.1%
25734.34 1
0.1%
25353.14 1
0.1%
22227.88 1
0.1%
20784.88 1
0.1%
20639.59 1
0.1%
20408.94 1
0.1%
20300.07 1
0.1%
20103.74 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10187.473
Minimum5831.79
Maximum140127.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:23.294970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5831.79
5-th percentile7083.16
Q18367.22
median9413.12
Q310659.4
95-th percentile15102.988
Maximum140127.77
Range134295.98
Interquartile range (IQR)2292.18

Descriptive statistics

Standard deviation4732.2686
Coefficient of variation (CV)0.46451839
Kurtosis340.4901
Mean10187.473
Median Absolute Deviation (MAD)1114.41
Skewness14.098281
Sum17980890
Variance22394366
MonotonicityNot monotonic
2024-01-10T04:59:23.491077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9220.34 2
 
0.1%
8042.17 2
 
0.1%
8952.28 1
 
0.1%
9370.01 1
 
0.1%
8257.68 1
 
0.1%
8205.88 1
 
0.1%
8522.82 1
 
0.1%
8504.37 1
 
0.1%
9909.4 1
 
0.1%
9080.87 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5831.79 1
0.1%
5968.49 1
0.1%
5979.48 1
0.1%
5995.33 1
0.1%
6008.81 1
0.1%
6091.59 1
0.1%
6177.23 1
0.1%
6251.19 1
0.1%
6298.1 1
0.1%
6323.76 1
0.1%
ValueCountFrequency (%)
140127.77 1
0.1%
69691.83 1
0.1%
47514.12 1
0.1%
41259.01 1
0.1%
33923.95 1
0.1%
32949.54 1
0.1%
28562.71 1
0.1%
27725.42 1
0.1%
27198.78 1
0.1%
27092.06 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13808.026
Minimum7832.76
Maximum85614.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:23.676360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7832.76
5-th percentile10878.806
Q112168.5
median13433.16
Q314814.52
95-th percentile17418.692
Maximum85614.14
Range77781.38
Interquartile range (IQR)2646.02

Descriptive statistics

Standard deviation3070.1202
Coefficient of variation (CV)0.22234316
Kurtosis180.56732
Mean13808.026
Median Absolute Deviation (MAD)1330.86
Skewness9.0524708
Sum24371167
Variance9425638.3
MonotonicityNot monotonic
2024-01-10T04:59:23.873686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13747.3 2
 
0.1%
14235.27 2
 
0.1%
13691.09 2
 
0.1%
18615.35 1
 
0.1%
11978.44 1
 
0.1%
11670.62 1
 
0.1%
11864.86 1
 
0.1%
12191.6 1
 
0.1%
11762.04 1
 
0.1%
12298.0 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
7832.76 1
0.1%
8315.04 1
0.1%
9046.09 1
0.1%
9399.17 1
0.1%
9593.15 1
0.1%
9604.49 1
0.1%
9684.84 1
0.1%
9774.91 1
0.1%
9819.63 1
0.1%
9829.23 1
0.1%
ValueCountFrequency (%)
85614.14 1
0.1%
47244.66 1
0.1%
33136.44 1
0.1%
32568.1 1
0.1%
32472.53 1
0.1%
28453.43 1
0.1%
28365.1 1
0.1%
27604.99 1
0.1%
27460.22 1
0.1%
26850.53 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13791.459
Minimum7002.54
Maximum42701.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:24.069168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7002.54
5-th percentile10865.938
Q112327.09
median13556.39
Q314892.35
95-th percentile17429.69
Maximum42701.5
Range35698.96
Interquartile range (IQR)2565.26

Descriptive statistics

Standard deviation2247.3783
Coefficient of variation (CV)0.16295435
Kurtosis19.579621
Mean13791.459
Median Absolute Deviation (MAD)1282.48
Skewness2.3186076
Sum24341926
Variance5050709.4
MonotonicityNot monotonic
2024-01-10T04:59:24.737918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13046.22 2
 
0.1%
12701.23 2
 
0.1%
12525.68 2
 
0.1%
12894.76 2
 
0.1%
13013.09 1
 
0.1%
13945.72 1
 
0.1%
13674.92 1
 
0.1%
13436.11 1
 
0.1%
14215.19 1
 
0.1%
13834.47 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
7002.54 1
0.1%
8669.07 1
0.1%
8854.03 1
0.1%
8861.82 1
0.1%
8989.36 1
0.1%
9108.24 1
0.1%
9155.26 1
0.1%
9319.45 1
0.1%
9400.87 1
0.1%
9403.1 1
0.1%
ValueCountFrequency (%)
42701.5 1
0.1%
28811.89 1
0.1%
27969.08 1
0.1%
27707.51 1
0.1%
26867.32 1
0.1%
25599.84 1
0.1%
25560.88 1
0.1%
24602.08 1
0.1%
23333.34 1
0.1%
22946.89 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16798.363
Minimum9109.12
Maximum42239.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:24.947138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9109.12
5-th percentile13031.316
Q115173.25
median16621.38
Q318092.29
95-th percentile21077.238
Maximum42239.27
Range33130.15
Interquartile range (IQR)2919.04

Descriptive statistics

Standard deviation2527.8526
Coefficient of variation (CV)0.15048209
Kurtosis7.596076
Mean16798.363
Median Absolute Deviation (MAD)1458.69
Skewness1.1660663
Sum29649110
Variance6390039
MonotonicityNot monotonic
2024-01-10T04:59:25.150668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16387.04 2
 
0.1%
15317.33 2
 
0.1%
19214.61 2
 
0.1%
15824.86 2
 
0.1%
14895.36 2
 
0.1%
12169.12 1
 
0.1%
16732.99 1
 
0.1%
17554.82 1
 
0.1%
16379.54 1
 
0.1%
16613.17 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
9109.12 1
0.1%
9864.44 1
0.1%
9941.31 1
0.1%
10498.61 1
0.1%
10664.41 1
0.1%
10722.02 1
0.1%
10725.43 1
0.1%
10826.23 1
0.1%
10975.25 1
0.1%
11025.26 1
0.1%
ValueCountFrequency (%)
42239.27 1
0.1%
31932.54 1
0.1%
31178.03 1
0.1%
29715.87 1
0.1%
29250.43 1
0.1%
26279.01 1
0.1%
26269.98 1
0.1%
26128.29 1
0.1%
25628.76 1
0.1%
25129.93 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18702.156
Minimum9971.98
Maximum38101.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:25.342584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9971.98
5-th percentile14610.18
Q117189.05
median18669.55
Q320080.29
95-th percentile22717.016
Maximum38101.01
Range28129.03
Interquartile range (IQR)2891.24

Descriptive statistics

Standard deviation2535.7451
Coefficient of variation (CV)0.13558571
Kurtosis4.0790602
Mean18702.156
Median Absolute Deviation (MAD)1436.46
Skewness0.63866679
Sum33009305
Variance6430003.1
MonotonicityNot monotonic
2024-01-10T04:59:25.547001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20139.01 2
 
0.1%
14353.93 1
 
0.1%
17549.97 1
 
0.1%
18094.04 1
 
0.1%
18059.43 1
 
0.1%
16056.51 1
 
0.1%
16583.56 1
 
0.1%
18918.59 1
 
0.1%
18400.76 1
 
0.1%
18046.75 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
9971.98 1
0.1%
11135.74 1
0.1%
11241.92 1
0.1%
11353.58 1
0.1%
11469.19 1
0.1%
11554.6 1
0.1%
11579.62 1
0.1%
11603.28 1
0.1%
11768.8 1
0.1%
11819.14 1
0.1%
ValueCountFrequency (%)
38101.01 1
0.1%
32961.91 1
0.1%
32837.29 1
0.1%
32402.74 1
0.1%
30964.65 1
0.1%
30038.64 1
0.1%
27589.7 1
0.1%
27557.95 1
0.1%
27491.55 1
0.1%
27450.33 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23867.824
Minimum10152.54
Maximum41347.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:25.768552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10152.54
5-th percentile17150.72
Q121430.86
median23839.37
Q326350.73
95-th percentile30160.07
Maximum41347.35
Range31194.81
Interquartile range (IQR)4919.87

Descriptive statistics

Standard deviation3930.8688
Coefficient of variation (CV)0.16469322
Kurtosis0.6251042
Mean23867.824
Median Absolute Deviation (MAD)2444.79
Skewness0.14412758
Sum42126710
Variance15451729
MonotonicityNot monotonic
2024-01-10T04:59:25.968298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26127.17 2
 
0.1%
24501.25 2
 
0.1%
14669.71 1
 
0.1%
19987.65 1
 
0.1%
24306.49 1
 
0.1%
25658.12 1
 
0.1%
24610.63 1
 
0.1%
21109.16 1
 
0.1%
22690.03 1
 
0.1%
26517.54 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
10152.54 1
0.1%
13052.71 1
0.1%
13394.21 1
0.1%
13577.06 1
0.1%
13614.12 1
0.1%
13713.26 1
0.1%
13821.96 1
0.1%
13824.94 1
0.1%
13949.8 1
0.1%
14107.72 1
0.1%
ValueCountFrequency (%)
41347.35 1
0.1%
41252.35 1
0.1%
39949.15 1
0.1%
39799.12 1
0.1%
38426.37 1
0.1%
38324.28 1
0.1%
37055.45 1
0.1%
36403.89 1
0.1%
35841.54 1
0.1%
34582.72 1
0.1%
Distinct1760
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25325.778
Minimum11278.93
Maximum43914.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:26.168993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11278.93
5-th percentile18572.148
Q123056.38
median25322.43
Q327836.32
95-th percentile31442.342
Maximum43914.56
Range32635.63
Interquartile range (IQR)4779.94

Descriptive statistics

Standard deviation3864.38
Coefficient of variation (CV)0.15258682
Kurtosis0.68298179
Mean25325.778
Median Absolute Deviation (MAD)2413.47
Skewness0.021884669
Sum44699998
Variance14933433
MonotonicityNot monotonic
2024-01-10T04:59:26.366611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28588.27 2
 
0.1%
26501.51 2
 
0.1%
27433.14 2
 
0.1%
26272.15 2
 
0.1%
25606.25 2
 
0.1%
15820.03 1
 
0.1%
20376.61 1
 
0.1%
27836.32 1
 
0.1%
26993.81 1
 
0.1%
22256.82 1
 
0.1%
Other values (1750) 1750
99.2%
ValueCountFrequency (%)
11278.93 1
0.1%
14215.28 1
0.1%
14387.92 1
0.1%
14720.76 1
0.1%
14738.93 1
0.1%
14987.7 1
0.1%
15108.72 1
0.1%
15302.21 1
0.1%
15411.3 1
0.1%
15462.86 1
0.1%
ValueCountFrequency (%)
43914.56 1
0.1%
41638.77 1
0.1%
41074.88 1
0.1%
40405.5 1
0.1%
40082.3 1
0.1%
38986.96 1
0.1%
38861.84 1
0.1%
37262.11 1
0.1%
37192.45 1
0.1%
35527.37 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27605.007
Minimum12082.15
Maximum43618.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:26.556635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12082.15
5-th percentile20324.388
Q125244.6
median27703.16
Q330383.05
95-th percentile34177.8
Maximum43618.83
Range31536.68
Interquartile range (IQR)5138.45

Descriptive statistics

Standard deviation4024.2356
Coefficient of variation (CV)0.14577919
Kurtosis0.17870962
Mean27605.007
Median Absolute Deviation (MAD)2608.13
Skewness-0.19555277
Sum48722838
Variance16194472
MonotonicityNot monotonic
2024-01-10T04:59:26.774538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31620.28 2
 
0.1%
15912.9 1
 
0.1%
24068.42 1
 
0.1%
30537.28 1
 
0.1%
30394.01 1
 
0.1%
25532.78 1
 
0.1%
25832.55 1
 
0.1%
30262.86 1
 
0.1%
30287.81 1
 
0.1%
30056.8 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12082.15 1
0.1%
15190.92 1
0.1%
15768.83 1
0.1%
15912.9 1
0.1%
16219.79 1
0.1%
16669.66 1
0.1%
16687.18 1
0.1%
16783.33 1
0.1%
16977.54 1
0.1%
17268.28 1
0.1%
ValueCountFrequency (%)
43618.83 1
0.1%
41071.82 1
0.1%
40522.59 1
0.1%
39964.71 1
0.1%
39302.44 1
0.1%
39285.01 1
0.1%
39010.77 1
0.1%
38723.74 1
0.1%
37822.66 1
0.1%
37053.32 1
0.1%

남성 55-59세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26699.668
Minimum11463.35
Maximum39585.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:26.986623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11463.35
5-th percentile19859.23
Q124439.45
median26853.5
Q329387.18
95-th percentile32823.632
Maximum39585.27
Range28121.92
Interquartile range (IQR)4947.73

Descriptive statistics

Standard deviation3780.2611
Coefficient of variation (CV)0.14158457
Kurtosis0.062130929
Mean26699.668
Median Absolute Deviation (MAD)2456.26
Skewness-0.29336436
Sum47124915
Variance14290374
MonotonicityNot monotonic
2024-01-10T04:59:27.185953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15881.5 1
 
0.1%
23643.67 1
 
0.1%
28854.31 1
 
0.1%
30023.58 1
 
0.1%
30001.33 1
 
0.1%
24916.35 1
 
0.1%
24741.34 1
 
0.1%
28838.1 1
 
0.1%
28415.91 1
 
0.1%
28916.44 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
11463.35 1
0.1%
14438.81 1
0.1%
15798.68 1
0.1%
15811.35 1
0.1%
15881.5 1
0.1%
16284.28 1
0.1%
16522.6 1
0.1%
16595.46 1
0.1%
16666.63 1
0.1%
16768.67 1
0.1%
ValueCountFrequency (%)
39585.27 1
0.1%
37373.5 1
0.1%
37241.45 1
0.1%
36216.68 1
0.1%
35727.34 1
0.1%
35113.28 1
0.1%
35041.23 1
0.1%
34939.91 1
0.1%
34777.47 1
0.1%
34752.32 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098.633
Minimum8191.08
Maximum30047.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:27.403692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8191.08
5-th percentile14457.188
Q118120.86
median20114.96
Q322286.9
95-th percentile25184.18
Maximum30047.54
Range21856.46
Interquartile range (IQR)4166.04

Descriptive statistics

Standard deviation3153.95
Coefficient of variation (CV)0.1569236
Kurtosis0.043976675
Mean20098.633
Median Absolute Deviation (MAD)2086.53
Skewness-0.19501241
Sum35474088
Variance9947400.7
MonotonicityNot monotonic
2024-01-10T04:59:27.593405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18949.56 2
 
0.1%
24596.47 2
 
0.1%
10304.64 1
 
0.1%
18819.22 1
 
0.1%
21742.81 1
 
0.1%
22213.31 1
 
0.1%
22756.94 1
 
0.1%
19465.86 1
 
0.1%
19495.61 1
 
0.1%
22206.13 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8191.08 1
0.1%
10304.64 1
0.1%
10705.5 1
0.1%
10881.98 1
0.1%
10955.63 1
0.1%
11111.85 1
0.1%
11477.2 1
0.1%
11667.38 1
0.1%
11710.28 1
0.1%
11967.16 1
0.1%
ValueCountFrequency (%)
30047.54 1
0.1%
29908.43 1
0.1%
29735.64 1
0.1%
27912.46 1
0.1%
27746.46 1
0.1%
27548.19 1
0.1%
27546.71 1
0.1%
27540.19 1
0.1%
27531.49 1
0.1%
27360.87 1
0.1%

남성 65-69세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15364.399
Minimum5322.37
Maximum24160.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:27.800667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5322.37
5-th percentile10091.606
Q113825.82
median15362.68
Q317084.82
95-th percentile20051.786
Maximum24160.13
Range18837.76
Interquartile range (IQR)3259

Descriptive statistics

Standard deviation2749.0112
Coefficient of variation (CV)0.17892084
Kurtosis0.42557488
Mean15364.399
Median Absolute Deviation (MAD)1648.14
Skewness-0.26322634
Sum27118165
Variance7557062.5
MonotonicityNot monotonic
2024-01-10T04:59:28.058412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6382.63 1
 
0.1%
13889.49 1
 
0.1%
16483.35 1
 
0.1%
17125.38 1
 
0.1%
17159.92 1
 
0.1%
14335.71 1
 
0.1%
14891.24 1
 
0.1%
16865.37 1
 
0.1%
16283.77 1
 
0.1%
16709.79 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
5322.37 1
0.1%
6382.63 1
0.1%
6758.98 1
0.1%
6783.96 1
0.1%
6915.29 1
0.1%
7287.31 1
0.1%
7335.25 1
0.1%
7547.88 1
0.1%
7634.51 1
0.1%
7877.94 1
0.1%
ValueCountFrequency (%)
24160.13 1
0.1%
23707.8 1
0.1%
23515.38 1
0.1%
22170.38 1
0.1%
22054.87 1
0.1%
21688.07 1
0.1%
21681.8 1
0.1%
21568.23 1
0.1%
21464.27 1
0.1%
21392.68 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22045.294
Minimum6115.31
Maximum34881.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:28.267593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6115.31
5-th percentile11954.932
Q119795.92
median22225
Q324640.54
95-th percentile29542.566
Maximum34881.41
Range28766.1
Interquartile range (IQR)4844.62

Descriptive statistics

Standard deviation4513.5307
Coefficient of variation (CV)0.20473896
Kurtosis0.95744131
Mean22045.294
Median Absolute Deviation (MAD)2418.64
Skewness-0.53413636
Sum38909945
Variance20371960
MonotonicityNot monotonic
2024-01-10T04:59:28.478669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22541.2 2
 
0.1%
22307.41 2
 
0.1%
24618.56 2
 
0.1%
7300.17 1
 
0.1%
22851.06 1
 
0.1%
25333.35 1
 
0.1%
20522.87 1
 
0.1%
20353.19 1
 
0.1%
24119.46 1
 
0.1%
23306.56 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
6115.31 1
0.1%
7300.17 1
0.1%
7738.73 1
0.1%
7827.27 1
0.1%
8264.59 1
0.1%
8296.42 1
0.1%
8393.89 1
0.1%
8473.31 1
0.1%
8633.69 1
0.1%
8635.16 1
0.1%
ValueCountFrequency (%)
34881.41 1
0.1%
33148.24 1
0.1%
32752.65 1
0.1%
32720.64 1
0.1%
32532.09 1
0.1%
32115.12 1
0.1%
32083.53 1
0.1%
31967.56 1
0.1%
31889.23 1
0.1%
31876.74 1
0.1%

여성 10세미만 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8350.7524
Minimum2617.04
Maximum44080.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:28.664630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2617.04
5-th percentile4048.134
Q15902.5
median7312.74
Q39725.26
95-th percentile16161.952
Maximum44080.62
Range41463.58
Interquartile range (IQR)3822.76

Descriptive statistics

Standard deviation3779.5325
Coefficient of variation (CV)0.45259784
Kurtosis7.0241699
Mean8350.7524
Median Absolute Deviation (MAD)1700.27
Skewness1.9435296
Sum14739078
Variance14284866
MonotonicityNot monotonic
2024-01-10T04:59:28.867300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17386.53 1
 
0.1%
7248.15 1
 
0.1%
5783.97 1
 
0.1%
5722.04 1
 
0.1%
6301.43 1
 
0.1%
9757.23 1
 
0.1%
8545.47 1
 
0.1%
6564.74 1
 
0.1%
6450.14 1
 
0.1%
5629.12 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
2617.04 1
0.1%
2687.47 1
0.1%
2747.76 1
0.1%
2771.54 1
0.1%
2816.91 1
0.1%
2920.23 1
0.1%
2935.48 1
0.1%
2988.19 1
0.1%
2990.43 1
0.1%
3021.91 1
0.1%
ValueCountFrequency (%)
44080.62 1
0.1%
27129.35 1
0.1%
26914.46 1
0.1%
26759.65 1
0.1%
25046.58 1
0.1%
24831.25 1
0.1%
24694.82 1
0.1%
22955.32 1
0.1%
22772.34 1
0.1%
22651.52 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5646.2181
Minimum2726.94
Maximum63970.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:29.062790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2726.94
5-th percentile3411.952
Q14099.14
median5049.25
Q36268.59
95-th percentile9557.658
Maximum63970.56
Range61243.62
Interquartile range (IQR)2169.45

Descriptive statistics

Standard deviation2827.2892
Coefficient of variation (CV)0.50074035
Kurtosis114.27144
Mean5646.2181
Median Absolute Deviation (MAD)1037.81
Skewness7.2760372
Sum9965575
Variance7993564.4
MonotonicityNot monotonic
2024-01-10T04:59:29.268058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6217.35 2
 
0.1%
13914.85 1
 
0.1%
4735.31 1
 
0.1%
3993.52 1
 
0.1%
3979.67 1
 
0.1%
4096.32 1
 
0.1%
4188.85 1
 
0.1%
5224.61 1
 
0.1%
4931.2 1
 
0.1%
4301.09 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
2726.94 1
0.1%
2754.84 1
0.1%
2900.96 1
0.1%
2904.03 1
0.1%
2906.19 1
0.1%
2910.41 1
0.1%
2927.91 1
0.1%
2937.12 1
0.1%
2984.69 1
0.1%
3012.5 1
0.1%
ValueCountFrequency (%)
63970.56 1
0.1%
34047.57 1
0.1%
26075.3 1
0.1%
24430.09 1
0.1%
23446.47 1
0.1%
20975.87 1
0.1%
20521.04 1
0.1%
20264.59 1
0.1%
20159.25 1
0.1%
20158.79 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9541.9893
Minimum4970.12
Maximum146600.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:29.460556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4970.12
5-th percentile6387.882
Q17657.31
median8624.61
Q39955.45
95-th percentile14411.914
Maximum146600.64
Range141630.52
Interquartile range (IQR)2298.14

Descriptive statistics

Standard deviation5383.1183
Coefficient of variation (CV)0.56415052
Kurtosis260.09647
Mean9541.9893
Median Absolute Deviation (MAD)1093.33
Skewness12.417455
Sum16841611
Variance28977962
MonotonicityNot monotonic
2024-01-10T04:59:29.670777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8712.09 2
 
0.1%
9401.42 2
 
0.1%
28408.61 1
 
0.1%
7705.83 1
 
0.1%
8262.45 1
 
0.1%
8144.41 1
 
0.1%
8385.69 1
 
0.1%
8520.82 1
 
0.1%
8970.9 1
 
0.1%
8200.36 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4970.12 1
0.1%
5181.23 1
0.1%
5234.99 1
0.1%
5290.56 1
0.1%
5345.11 1
0.1%
5377.11 1
0.1%
5387.12 1
0.1%
5430.35 1
0.1%
5434.14 1
0.1%
5489.21 1
0.1%
ValueCountFrequency (%)
146600.64 1
0.1%
74860.43 1
0.1%
52002.95 1
0.1%
51371.22 1
0.1%
51239.29 1
0.1%
42774.09 1
0.1%
40742.56 1
0.1%
39961.95 1
0.1%
37836.62 1
0.1%
36776.44 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10553.55
Minimum5086.51
Maximum69579.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:29.885634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5086.51
5-th percentile8039.008
Q19090.44
median10086.18
Q311343.52
95-th percentile13915.798
Maximum69579.83
Range64493.32
Interquartile range (IQR)2253.08

Descriptive statistics

Standard deviation2868.0001
Coefficient of variation (CV)0.2717569
Kurtosis119.37501
Mean10553.55
Median Absolute Deviation (MAD)1100.59
Skewness7.6182245
Sum18627016
Variance8225424.4
MonotonicityNot monotonic
2024-01-10T04:59:30.089750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9867.44 2
 
0.1%
8430.6 2
 
0.1%
15012.35 1
 
0.1%
10233.47 1
 
0.1%
8239.06 1
 
0.1%
8422.33 1
 
0.1%
8496.19 1
 
0.1%
9493.15 1
 
0.1%
9228.48 1
 
0.1%
9267.83 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
5086.51 1
0.1%
5552.77 1
0.1%
7079.1 1
0.1%
7136.14 1
0.1%
7145.37 1
0.1%
7152.83 1
0.1%
7232.63 1
0.1%
7269.44 1
0.1%
7289.96 1
0.1%
7308.84 1
0.1%
ValueCountFrequency (%)
69579.83 1
0.1%
40640.08 1
0.1%
39614.3 1
0.1%
32433.32 1
0.1%
28621.05 1
0.1%
27015.0 1
0.1%
25677.58 1
0.1%
25291.08 1
0.1%
24722.23 1
0.1%
24145.8 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9310.6556
Minimum4696.46
Maximum48203.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:30.298844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4696.46
5-th percentile7131.782
Q18001.02
median8960.69
Q310104.73
95-th percentile12505.08
Maximum48203.59
Range43507.13
Interquartile range (IQR)2103.71

Descriptive statistics

Standard deviation2171.6058
Coefficient of variation (CV)0.23323877
Kurtosis67.138102
Mean9310.6556
Median Absolute Deviation (MAD)1023.14
Skewness5.1789347
Sum16433307
Variance4715871.9
MonotonicityNot monotonic
2024-01-10T04:59:31.002128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8260.69 2
 
0.1%
11522.01 1
 
0.1%
9106.28 1
 
0.1%
8151.74 1
 
0.1%
8426.36 1
 
0.1%
8324.8 1
 
0.1%
8371.35 1
 
0.1%
8864.51 1
 
0.1%
8989.28 1
 
0.1%
8597.21 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4696.46 1
0.1%
5337.68 1
0.1%
5888.24 1
0.1%
6199.78 1
0.1%
6272.13 1
0.1%
6294.09 1
0.1%
6358.91 1
0.1%
6443.98 1
0.1%
6450.9 1
0.1%
6454.71 1
0.1%
ValueCountFrequency (%)
48203.59 1
0.1%
29598.97 1
0.1%
24064.41 1
0.1%
22827.34 1
0.1%
22187.02 1
0.1%
21565.6 1
0.1%
21002.1 1
0.1%
19350.81 1
0.1%
19293.43 1
0.1%
19011.91 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11449.557
Minimum6112.53
Maximum43531.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:31.178059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6112.53
5-th percentile8373.828
Q19591.2
median10786.82
Q312664.73
95-th percentile16425.132
Maximum43531.11
Range37418.58
Interquartile range (IQR)3073.53

Descriptive statistics

Standard deviation2743.1953
Coefficient of variation (CV)0.23958964
Kurtosis14.315894
Mean11449.557
Median Absolute Deviation (MAD)1405.79
Skewness2.3665236
Sum20208468
Variance7525120.4
MonotonicityNot monotonic
2024-01-10T04:59:31.422860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11144.66 2
 
0.1%
16004.75 1
 
0.1%
10616.84 1
 
0.1%
9114.68 1
 
0.1%
10101.15 1
 
0.1%
9850.15 1
 
0.1%
12021.59 1
 
0.1%
11399.5 1
 
0.1%
10690.63 1
 
0.1%
9834.11 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
6112.53 1
0.1%
6806.9 1
0.1%
6985.27 1
0.1%
7106.1 1
0.1%
7246.55 1
0.1%
7423.84 1
0.1%
7493.73 1
0.1%
7501.78 1
0.1%
7526.22 1
0.1%
7556.47 1
0.1%
ValueCountFrequency (%)
43531.11 1
0.1%
28170.8 1
0.1%
27505.35 1
0.1%
27189.97 1
0.1%
26842.24 1
0.1%
26256.15 1
0.1%
25904.29 1
0.1%
23497.1 1
0.1%
23367.17 1
0.1%
22317.17 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13510.786
Minimum7072.27
Maximum45302.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:31.623044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7072.27
5-th percentile9912.076
Q111201.34
median12629.09
Q315021.84
95-th percentile19911.692
Maximum45302.42
Range38230.15
Interquartile range (IQR)3820.5

Descriptive statistics

Standard deviation3352.9297
Coefficient of variation (CV)0.24816689
Kurtosis7.6592496
Mean13510.786
Median Absolute Deviation (MAD)1701.15
Skewness1.9417058
Sum23846537
Variance11242138
MonotonicityNot monotonic
2024-01-10T04:59:31.851391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13466.77 2
 
0.1%
16751.35 2
 
0.1%
12708.92 2
 
0.1%
15791.38 1
 
0.1%
12525.29 1
 
0.1%
10879.37 1
 
0.1%
11026.8 1
 
0.1%
11358.47 1
 
0.1%
11271.68 1
 
0.1%
14298.31 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
7072.27 1
0.1%
8095.63 1
0.1%
8113.59 1
0.1%
8151.86 1
0.1%
8368.87 1
0.1%
8531.71 1
0.1%
8658.61 1
0.1%
8732.94 1
0.1%
8776.71 1
0.1%
8784.34 1
0.1%
ValueCountFrequency (%)
45302.42 1
0.1%
33409.34 1
0.1%
33043.26 1
0.1%
30399.26 1
0.1%
30067.96 1
0.1%
30022.58 1
0.1%
28931.05 1
0.1%
27868.77 1
0.1%
26357.14 1
0.1%
26233.27 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16604.394
Minimum7681.07
Maximum47626.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:32.071701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7681.07
5-th percentile12212.366
Q114037.02
median15889.88
Q318317.73
95-th percentile23405.922
Maximum47626.51
Range39945.44
Interquartile range (IQR)4280.71

Descriptive statistics

Standard deviation3684.276
Coefficient of variation (CV)0.2218856
Kurtosis6.0326298
Mean16604.394
Median Absolute Deviation (MAD)2015.83
Skewness1.6878221
Sum29306756
Variance13573890
MonotonicityNot monotonic
2024-01-10T04:59:32.266246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15228.42 2
 
0.1%
17268.84 2
 
0.1%
15653.88 1
 
0.1%
14767.93 1
 
0.1%
14472.12 1
 
0.1%
14273.09 1
 
0.1%
14869.01 1
 
0.1%
15319.94 1
 
0.1%
16481.28 1
 
0.1%
16130.84 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
7681.07 1
0.1%
9061.48 1
0.1%
10014.3 1
0.1%
10259.26 1
0.1%
10511.49 1
0.1%
10617.76 1
0.1%
10630.08 1
0.1%
10637.55 1
0.1%
10823.91 1
0.1%
10843.79 1
0.1%
ValueCountFrequency (%)
47626.51 1
0.1%
39309.23 1
0.1%
39168.25 1
0.1%
36119.51 1
0.1%
34928.89 1
0.1%
33774.47 1
0.1%
32622.88 1
0.1%
31710.98 1
0.1%
31593.77 1
0.1%
31536.43 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17507.708
Minimum7804.96
Maximum41709.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:32.466847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7804.96
5-th percentile13124.896
Q115266.66
median16930.86
Q319214.79
95-th percentile23512.132
Maximum41709.14
Range33904.18
Interquartile range (IQR)3948.13

Descriptive statistics

Standard deviation3357.7026
Coefficient of variation (CV)0.19178425
Kurtosis4.5720437
Mean17507.708
Median Absolute Deviation (MAD)1847.32
Skewness1.3882302
Sum30901104
Variance11274167
MonotonicityNot monotonic
2024-01-10T04:59:32.668248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16405.75 2
 
0.1%
15920.43 1
 
0.1%
16177.6 1
 
0.1%
16467.66 1
 
0.1%
16861.81 1
 
0.1%
17568.63 1
 
0.1%
16866.4 1
 
0.1%
17343.67 1
 
0.1%
16533.09 1
 
0.1%
16433.75 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
7804.96 1
0.1%
9695.83 1
0.1%
10486.75 1
0.1%
11226.58 1
0.1%
11294.42 1
0.1%
11414.98 1
0.1%
11472.23 1
0.1%
11641.66 1
0.1%
11657.84 1
0.1%
11693.3 1
0.1%
ValueCountFrequency (%)
41709.14 1
0.1%
40492.08 1
0.1%
37308.63 1
0.1%
36151.8 1
0.1%
33789.77 1
0.1%
31927.94 1
0.1%
31619.63 1
0.1%
30953.72 1
0.1%
30790.2 1
0.1%
29366.99 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20412.05
Minimum8287.78
Maximum39411.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:32.885973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8287.78
5-th percentile15412.388
Q118139.83
median20071.8
Q322423.09
95-th percentile26270.236
Maximum39411.92
Range31124.14
Interquartile range (IQR)4283.26

Descriptive statistics

Standard deviation3414.1559
Coefficient of variation (CV)0.16726178
Kurtosis1.4590245
Mean20412.05
Median Absolute Deviation (MAD)2078.48
Skewness0.59218298
Sum36027269
Variance11656460
MonotonicityNot monotonic
2024-01-10T04:59:33.108658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23288.05 2
 
0.1%
16108.7 1
 
0.1%
19380.45 1
 
0.1%
20097.53 1
 
0.1%
20174.77 1
 
0.1%
20740.35 1
 
0.1%
19929.49 1
 
0.1%
20071.8 1
 
0.1%
19212.59 1
 
0.1%
18885.86 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
8287.78 1
0.1%
10368.43 1
0.1%
12372.23 1
0.1%
12377.25 1
0.1%
12535.27 1
0.1%
12618.85 1
0.1%
12625.54 1
0.1%
12727.93 1
0.1%
12728.83 1
0.1%
12815.66 1
0.1%
ValueCountFrequency (%)
39411.92 1
0.1%
38026.37 1
0.1%
36029.94 1
0.1%
35558.47 1
0.1%
33260.94 1
0.1%
32509.52 1
0.1%
32202.97 1
0.1%
31832.91 1
0.1%
31737.69 1
0.1%
31628.64 1
0.1%

여성 55-59세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20803.056
Minimum9179.98
Maximum34192.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:33.316832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9179.98
5-th percentile15535.92
Q118546.85
median20427
Q322833.87
95-th percentile26746.838
Maximum34192.35
Range25012.37
Interquartile range (IQR)4287.02

Descriptive statistics

Standard deviation3407.0324
Coefficient of variation (CV)0.16377557
Kurtosis0.38226843
Mean20803.056
Median Absolute Deviation (MAD)2059.44
Skewness0.4750937
Sum36717394
Variance11607870
MonotonicityNot monotonic
2024-01-10T04:59:33.565766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16466.13 1
 
0.1%
19141.91 1
 
0.1%
19664.34 1
 
0.1%
20467.73 1
 
0.1%
20965.55 1
 
0.1%
21145.14 1
 
0.1%
20312.96 1
 
0.1%
21114.53 1
 
0.1%
20072.57 1
 
0.1%
19744.78 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
9179.98 1
0.1%
11708.48 1
0.1%
13151.08 1
0.1%
13164.82 1
0.1%
13289.43 1
0.1%
13318.79 1
0.1%
13358.0 1
0.1%
13397.41 1
0.1%
13503.49 1
0.1%
13521.31 1
0.1%
ValueCountFrequency (%)
34192.35 1
0.1%
33940.55 1
0.1%
33892.72 1
0.1%
33698.42 1
0.1%
33596.19 1
0.1%
32115.0 1
0.1%
31597.39 1
0.1%
31374.48 1
0.1%
30781.77 1
0.1%
30757.35 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16620.223
Minimum6399.92
Maximum29310.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:33.767442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6399.92
5-th percentile11904.608
Q114743.86
median16361.28
Q318343.4
95-th percentile21697.292
Maximum29310.26
Range22910.34
Interquartile range (IQR)3599.54

Descriptive statistics

Standard deviation2926.6166
Coefficient of variation (CV)0.17608768
Kurtosis0.29381616
Mean16620.223
Median Absolute Deviation (MAD)1819.26
Skewness0.25318472
Sum29334693
Variance8565084.5
MonotonicityNot monotonic
2024-01-10T04:59:33.969131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18050.89 2
 
0.1%
15666.7 2
 
0.1%
9664.38 1
 
0.1%
16254.23 1
 
0.1%
16341.24 1
 
0.1%
16130.85 1
 
0.1%
16583.13 1
 
0.1%
17080.87 1
 
0.1%
16555.73 1
 
0.1%
15906.71 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
6399.92 1
0.1%
7843.67 1
0.1%
8424.27 1
0.1%
9048.52 1
0.1%
9222.16 1
0.1%
9631.68 1
0.1%
9664.38 1
0.1%
9755.0 1
0.1%
9772.51 1
0.1%
9837.11 1
0.1%
ValueCountFrequency (%)
29310.26 1
0.1%
27877.57 1
0.1%
27023.96 1
0.1%
25830.09 1
0.1%
25422.7 1
0.1%
25306.79 1
0.1%
25116.91 1
0.1%
24616.93 1
0.1%
24479.49 1
0.1%
24471.22 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12163.67
Minimum4107
Maximum21830.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:34.164505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4107
5-th percentile7995.448
Q110643.84
median12002.88
Q313575.87
95-th percentile16525.64
Maximum21830.23
Range17723.23
Interquartile range (IQR)2932.03

Descriptive statistics

Standard deviation2465.9609
Coefficient of variation (CV)0.20273165
Kurtosis0.28195394
Mean12163.67
Median Absolute Deviation (MAD)1470.51
Skewness0.12886094
Sum21468877
Variance6080962.9
MonotonicityNot monotonic
2024-01-10T04:59:34.390139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13670.19 2
 
0.1%
10664.97 2
 
0.1%
12125.73 2
 
0.1%
5667.01 1
 
0.1%
12347.53 1
 
0.1%
12124.73 1
 
0.1%
12147.82 1
 
0.1%
12712.57 1
 
0.1%
12838.63 1
 
0.1%
12089.52 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4107.0 1
0.1%
5037.14 1
0.1%
5334.74 1
0.1%
5586.39 1
0.1%
5649.53 1
0.1%
5667.01 1
0.1%
5936.1 1
0.1%
6022.67 1
0.1%
6057.67 1
0.1%
6091.86 1
0.1%
ValueCountFrequency (%)
21830.23 1
0.1%
21063.98 1
0.1%
20319.72 1
0.1%
19623.37 1
0.1%
18793.32 1
0.1%
18604.97 1
0.1%
18379.67 1
0.1%
18376.62 1
0.1%
18319.82 1
0.1%
18317.72 1
0.1%

여성 70세이상 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26096.222
Minimum8838
Maximum40003.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T04:59:34.611446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8838
5-th percentile14355.28
Q123733.91
median26026.89
Q328739.68
95-th percentile34843.192
Maximum40003.81
Range31165.81
Interquartile range (IQR)5005.77

Descriptive statistics

Standard deviation5081.8476
Coefficient of variation (CV)0.19473499
Kurtosis1.1659422
Mean26096.222
Median Absolute Deviation (MAD)2475.25
Skewness-0.47391389
Sum46059832
Variance25825175
MonotonicityNot monotonic
2024-01-10T04:59:34.857165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9695.57 1
 
0.1%
23750.07 1
 
0.1%
26736.5 1
 
0.1%
27825.14 1
 
0.1%
28805.35 1
 
0.1%
24888.36 1
 
0.1%
24272.8 1
 
0.1%
27360.74 1
 
0.1%
26422.22 1
 
0.1%
26678.83 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
8838.0 1
0.1%
9695.57 1
0.1%
10081.16 1
0.1%
10955.01 1
0.1%
11029.82 1
0.1%
11048.98 1
0.1%
11134.14 1
0.1%
11173.7 1
0.1%
11221.89 1
0.1%
11274.07 1
0.1%
ValueCountFrequency (%)
40003.81 1
0.1%
38974.28 1
0.1%
38878.63 1
0.1%
38366.92 1
0.1%
38043.39 1
0.1%
37302.52 1
0.1%
37301.5 1
0.1%
37184.18 1
0.1%
37174.25 1
0.1%
37167.85 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
020190101예산군17879.315457.4126877.7718615.3513495.1914853.1614353.9314669.7115820.0315912.915881.510304.646382.637300.1717386.5313914.8528408.6115012.3514868.5616004.7515791.3815653.8814798.4616108.716466.139664.385667.019695.57
120190102예산군7357.026144.4516146.1412945.1911479.114532.5115306.4416371.1217079.9617268.2816858.1610955.636915.297827.278599.566643.4415282.279237.728496.1710741.1211786.8211956.9811414.9812727.9313151.088424.275334.7410081.16
220190103예산군4447.035199.8511607.3312889.4811228.7213972.4715327.4316396.117500.418139.8417773.7712202.598322.249219.635640.95856.5913559.848733.669060.2510169.311085.1511402.312265.7812815.6613536.29978.096139.7611380.1
320190104예산군6601.297888.3515111.614494.5112701.2314910.9216072.5116755.8718651.8418854.6418322.0212302.198190.079099.687613.297830.4118098.089842.699581.5610886.3512437.3912232.6413036.4312999.413816.519921.946308.4511882.75
420190105예산군8444.8513123.2617679.8515767.8111495.414166.9915549.7916802.3617828.2718331.6517669.6912387.848108.619207.9410623.0411427.3923437.2712640.2911656.2514166.4515799.0114929.5414883.1314908.7115698.8410837.136733.4412287.5
520190106예산군7489.6211614.2820738.0215079.7710773.5612148.6413410.0813394.2114215.2815768.8315811.3511477.27287.318393.899672.5511274.7621277.2511280.6310168.3812351.2813724.4613797.5712979.7914437.7514585.1710635.986302.6210955.01
620190107예산군5304.695390.313071.1613520.6910172.9313625.9214579.8514942.7116788.617961.7216522.611989.87904.048633.695927.636344.3116080.958815.057712.739066.510314.9611478.1412010.912377.2513549.669222.166057.6711029.82
720190108예산군4192.085050.7412464.1312405.3910834.013454.0915386.4616263.917682.3618801.9517643.9212189.948333.219309.845122.075795.6613461.278357.18115.499088.6110232.2511348.6512227.0512728.8313586.399772.516387.6412536.6
820190109예산군5236.665594.2112731.412132.3410626.1813464.8714989.6315765.6517103.1318693.5717792.7412064.158064.719018.514829.066258.9813586.068201.397676.388948.6410368.7110893.6112369.8312372.2313164.8210002.726022.6711499.71
920190110예산군4480.866186.9512893.9812922.3611709.6314673.2615649.9616632.4218186.7419230.5617689.9112458.868326.869351.296276.486492.5314460.338872.248626.89831.0211041.3111738.5712610.3812535.2713521.319631.686310.6411766.43
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
175520231022예산군16126.88825.1412942.2214831.7815225.0217691.8920678.0228189.028300.4530919.6630416.6725046.9119977.426898.3114634.888193.2611436.1312735.2611594.5516387.119333.123303.4523337.4125913.9626954.3722803.9517022.931527.91
175620231023예산군10661.125850.2811011.6616129.9316160.8520656.6421992.2629546.431400.7634268.4933695.4226336.1421036.2831050.5910169.535548.1110439.3411989.4510750.5313217.3615847.119707.5221435.3825081.2426560.4123004.6117600.5934916.37
175720231024예산군10340.795481.6310111.4516003.5316524.4521389.2722528.4829737.231282.3733924.1933821.0126179.5720393.7730146.789688.045451.8110313.0511756.1610603.1113619.2715104.9919562.9221058.7724398.925269.4621149.316753.0334152.97
175820231025예산군10088.765840.310195.0115715.3316883.4821535.6823182.1430159.9931646.5134841.333142.5926486.8720660.1231756.199538.75782.7210955.0612334.3211199.6613831.0815874.8620255.0121996.2725123.1125257.9821678.3816679.0535598.9
175920231026예산군10298.115567.228864.6416308.4816841.2221415.4822551.2430015.9831227.5234452.1632714.6925767.019965.4930149.969683.885750.6710886.9212574.2410777.6813615.9115373.9819803.1520942.8924813.324820.5620975.9616185.2234826.96
176020231027예산군11811.336199.0911619.3615857.5717638.7821570.223512.8232095.7632263.7335335.4334400.5126368.7920671.9130950.8211953.126556.0512011.1312911.811634.8914427.5817356.6721824.8323297.3926188.5326190.9822330.4816824.7635978.99
176120231028예산군19069.0410047.1312787.2315679.4316707.9520091.0523658.9332600.3132862.7835498.2134294.327912.4622170.3829811.3818772.319494.5910911.3313437.1913091.7918420.5923588.2826704.4627081.5829541.8629735.624471.2218317.7235959.57
176220231029예산군18578.099191.513191.1215866.6415978.8118293.8522536.2829386.3829386.0932180.531237.9626144.7120621.2328214.9417032.158551.0211256.4813167.5712861.5617348.4722243.4725440.8524677.2627695.0729273.3122985.5217466.7733578.45
176320231030예산군10733.885576.9910452.9816372.9316675.7520602.2222129.4629400.630847.2433717.3633180.1526635.0821024.6131967.569895.555504.5410735.6912727.8311354.8713814.0416419.6219979.0120924.4525103.6425217.5621990.1116794.8736168.81
176420231031예산군10689.95850.2110383.4415663.7916531.0720807.5121748.5829230.5931624.0934122.3233141.8626520.2120424.8330103.3710661.385453.910287.4812204.3710879.6613607.3916004.0919904.0320783.1524793.7424984.821247.8616312.4934791.62