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=3115

Alerts

시군구명 has constant value ""Constant
기준년월일 has unique valuesUnique
남성 20-24세 유동인구수 has unique valuesUnique
남성 25-29세 유동인구수 has unique valuesUnique
남성 50-54세 유동인구수 has unique valuesUnique
여성 25-29세 유동인구수 has unique valuesUnique
여성 35-39세 유동인구수 has unique valuesUnique
여성 40-44세 유동인구수 has unique valuesUnique
여성 65-69세 유동인구수 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:51:59.572040
Analysis finished2024-01-09 20:51:59.988577
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월일
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209954
Minimum20190101
Maximum20231031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:00.057846image/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
2024-01-10T05:52:00.170349image/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
공주시
1765 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공주시 1765
100.0%

Length

2024-01-10T05:52:00.270567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:52:00.348584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공주시 1765
100.0%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14386.986
Minimum4230.61
Maximum90274.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:00.434547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4230.61
5-th percentile7758.688
Q110375.44
median13131.3
Q317139.33
95-th percentile24061.906
Maximum90274.78
Range86044.17
Interquartile range (IQR)6763.89

Descriptive statistics

Standard deviation5909.6725
Coefficient of variation (CV)0.41076515
Kurtosis17.711533
Mean14386.986
Median Absolute Deviation (MAD)3216.64
Skewness2.4398134
Sum25393030
Variance34924229
MonotonicityNot monotonic
2024-01-10T05:52:00.550116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14764.33 2
 
0.1%
16840.06 2
 
0.1%
29128.47 1
 
0.1%
13504.55 1
 
0.1%
11215.18 1
 
0.1%
11323.49 1
 
0.1%
11439.8 1
 
0.1%
16485.6 1
 
0.1%
14926.39 1
 
0.1%
12537.0 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
4230.61 1
0.1%
5042.56 1
0.1%
5256.73 1
0.1%
5387.73 1
0.1%
5463.91 1
0.1%
5465.35 1
0.1%
5494.35 1
0.1%
5557.31 1
0.1%
5557.86 1
0.1%
5625.99 1
0.1%
ValueCountFrequency (%)
90274.78 1
0.1%
44093.07 1
0.1%
42968.42 1
0.1%
41730.29 1
0.1%
41442.9 1
0.1%
41167.31 1
0.1%
40614.49 1
0.1%
39485.57 1
0.1%
38252.79 1
0.1%
38131.76 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10446.346
Minimum4942.03
Maximum100984.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:00.677836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4942.03
5-th percentile6440.196
Q18023.03
median9576.13
Q311839.14
95-th percentile16731.292
Maximum100984.98
Range96042.95
Interquartile range (IQR)3816.11

Descriptive statistics

Standard deviation4486.3029
Coefficient of variation (CV)0.42946145
Kurtosis106.9473
Mean10446.346
Median Absolute Deviation (MAD)1812.69
Skewness6.9642035
Sum18437801
Variance20126914
MonotonicityNot monotonic
2024-01-10T05:52:00.819604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12552.03 2
 
0.1%
8319.21 2
 
0.1%
8620.51 2
 
0.1%
8890.72 1
 
0.1%
7736.6 1
 
0.1%
7503.34 1
 
0.1%
7873.87 1
 
0.1%
9976.81 1
 
0.1%
9844.57 1
 
0.1%
8223.01 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4942.03 1
0.1%
4975.13 1
0.1%
5153.26 1
0.1%
5179.28 1
0.1%
5182.71 1
0.1%
5201.92 1
0.1%
5242.53 1
0.1%
5311.14 1
0.1%
5334.21 1
0.1%
5361.49 1
0.1%
ValueCountFrequency (%)
100984.98 1
0.1%
56659.09 1
0.1%
46983.6 1
0.1%
43369.98 1
0.1%
38634.4 1
0.1%
36050.81 1
0.1%
34653.01 1
0.1%
32373.54 1
0.1%
30952.86 1
0.1%
30324.32 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23238.155
Minimum11368.62
Maximum268109.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:00.968250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11368.62
5-th percentile16152.426
Q119528.71
median22471.34
Q325311.23
95-th percentile31001.13
Maximum268109.49
Range256740.87
Interquartile range (IQR)5782.52

Descriptive statistics

Standard deviation8656.8431
Coefficient of variation (CV)0.37252712
Kurtosis381.72429
Mean23238.155
Median Absolute Deviation (MAD)2888.63
Skewness15.07373
Sum41015344
Variance74940933
MonotonicityNot monotonic
2024-01-10T05:52:01.116347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25174.42 2
 
0.1%
17057.3 2
 
0.1%
24523.06 2
 
0.1%
49137.22 1
 
0.1%
26981.11 1
 
0.1%
25822.4 1
 
0.1%
26162.67 1
 
0.1%
29556.8 1
 
0.1%
25729.02 1
 
0.1%
27017.97 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
11368.62 1
0.1%
11485.22 1
0.1%
12513.43 1
0.1%
12532.63 1
0.1%
12684.38 1
0.1%
12901.18 1
0.1%
13298.04 1
0.1%
13348.84 1
0.1%
13446.29 1
0.1%
13684.64 1
0.1%
ValueCountFrequency (%)
268109.49 1
0.1%
115205.09 1
0.1%
113089.8 1
0.1%
108366.85 1
0.1%
62183.07 1
0.1%
58779.09 1
0.1%
56542.4 1
0.1%
55893.16 1
0.1%
49837.49 1
0.1%
49589.18 1
0.1%

남성 20-24세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29662.475
Minimum12911.72
Maximum119796.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:01.239148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12911.72
5-th percentile23372.782
Q126515.65
median29231.9
Q332058.9
95-th percentile37073.146
Maximum119796.55
Range106884.83
Interquartile range (IQR)5543.25

Descriptive statistics

Standard deviation5011.0488
Coefficient of variation (CV)0.16893562
Kurtosis62.492179
Mean29662.475
Median Absolute Deviation (MAD)2798.3
Skewness4.244811
Sum52354269
Variance25110610
MonotonicityNot monotonic
2024-01-10T05:52:01.360610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38610.24 1
 
0.1%
30340.57 1
 
0.1%
32149.61 1
 
0.1%
32659.36 1
 
0.1%
33915.73 1
 
0.1%
33668.64 1
 
0.1%
32095.89 1
 
0.1%
34562.61 1
 
0.1%
33068.61 1
 
0.1%
31483.08 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
12911.72 1
0.1%
16915.06 1
0.1%
20054.56 1
0.1%
20497.36 1
0.1%
20510.02 1
0.1%
20650.93 1
0.1%
20679.6 1
0.1%
20746.6 1
0.1%
20774.44 1
0.1%
20800.87 1
0.1%
ValueCountFrequency (%)
119796.55 1
0.1%
65518.37 1
0.1%
62160.99 1
0.1%
57251.3 1
0.1%
56217.8 1
0.1%
53292.42 1
0.1%
50260.52 1
0.1%
50240.85 1
0.1%
49777.01 1
0.1%
49697.29 1
0.1%

남성 25-29세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24914.327
Minimum11305.29
Maximum80863.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:01.475189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11305.29
5-th percentile20660.186
Q122643.59
median24441.01
Q326347.13
95-th percentile30858.32
Maximum80863.12
Range69557.83
Interquartile range (IQR)3703.54

Descriptive statistics

Standard deviation3677.7965
Coefficient of variation (CV)0.14761774
Kurtosis34.706857
Mean24914.327
Median Absolute Deviation (MAD)1865.55
Skewness3.2678737
Sum43973787
Variance13526187
MonotonicityNot monotonic
2024-01-10T05:52:01.599311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30255.56 1
 
0.1%
23702.65 1
 
0.1%
23621.85 1
 
0.1%
24195.48 1
 
0.1%
24909.01 1
 
0.1%
25434.19 1
 
0.1%
25252.86 1
 
0.1%
25893.09 1
 
0.1%
24440.09 1
 
0.1%
23354.99 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
11305.29 1
0.1%
13492.03 1
0.1%
17267.32 1
0.1%
17509.64 1
0.1%
17514.97 1
0.1%
18282.82 1
0.1%
18414.07 1
0.1%
18735.67 1
0.1%
18739.02 1
0.1%
18782.43 1
0.1%
ValueCountFrequency (%)
80863.12 1
0.1%
50348.15 1
0.1%
48809.13 1
0.1%
46402.92 1
0.1%
46061.2 1
0.1%
44108.88 1
0.1%
42600.89 1
0.1%
42399.68 1
0.1%
41302.17 1
0.1%
39822.13 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28281.448
Minimum13310.97
Maximum75950.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:01.713109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13310.97
5-th percentile22913.838
Q125650.34
median27633.87
Q330117.79
95-th percentile35690.59
Maximum75950.8
Range62639.83
Interquartile range (IQR)4467.45

Descriptive statistics

Standard deviation4222.8418
Coefficient of variation (CV)0.14931491
Kurtosis13.224652
Mean28281.448
Median Absolute Deviation (MAD)2159.91
Skewness2.0318522
Sum49916756
Variance17832393
MonotonicityNot monotonic
2024-01-10T05:52:01.830586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25125.57 2
 
0.1%
26818.67 2
 
0.1%
29380.3 1
 
0.1%
26381.15 1
 
0.1%
25812.94 1
 
0.1%
26667.85 1
 
0.1%
27293.03 1
 
0.1%
27696.53 1
 
0.1%
28162.65 1
 
0.1%
29020.49 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
13310.97 1
0.1%
14784.86 1
0.1%
18419.58 1
0.1%
18999.63 1
0.1%
19146.74 1
0.1%
19179.55 1
0.1%
19422.7 1
0.1%
19562.39 1
0.1%
19939.27 1
0.1%
20040.25 1
0.1%
ValueCountFrequency (%)
75950.8 1
0.1%
60399.94 1
0.1%
53816.49 1
0.1%
50685.75 1
0.1%
50461.87 1
0.1%
49054.87 1
0.1%
45741.84 1
0.1%
45595.76 1
0.1%
44239.83 1
0.1%
43401.5 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31360.77
Minimum15282.45
Maximum77945.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:02.207714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15282.45
5-th percentile25180.828
Q128314.65
median31049.4
Q333683.94
95-th percentile38926.85
Maximum77945.92
Range62663.47
Interquartile range (IQR)5369.29

Descriptive statistics

Standard deviation4618.7339
Coefficient of variation (CV)0.14727744
Kurtosis8.8394849
Mean31360.77
Median Absolute Deviation (MAD)2694.98
Skewness1.4865936
Sum55351759
Variance21332703
MonotonicityNot monotonic
2024-01-10T05:52:02.319499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31328.15 2
 
0.1%
27286.62 1
 
0.1%
30636.07 1
 
0.1%
31026.37 1
 
0.1%
31525.14 1
 
0.1%
31655.14 1
 
0.1%
30192.83 1
 
0.1%
30364.05 1
 
0.1%
33215.19 1
 
0.1%
31927.36 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
15282.45 1
0.1%
16578.53 1
0.1%
19386.14 1
0.1%
19469.34 1
0.1%
19706.87 1
0.1%
20364.44 1
0.1%
20828.15 1
0.1%
20862.93 1
0.1%
20975.13 1
0.1%
21111.96 1
0.1%
ValueCountFrequency (%)
77945.92 1
0.1%
63252.52 1
0.1%
58940.52 1
0.1%
54796.22 1
0.1%
53781.45 1
0.1%
51575.34 1
0.1%
48746.11 1
0.1%
48732.12 1
0.1%
48438.96 1
0.1%
47617.08 1
0.1%
Distinct1761
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37677.03
Minimum18090.15
Maximum78409.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:02.436283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18090.15
5-th percentile29373.292
Q134459.83
median37592.72
Q340708.3
95-th percentile46148.748
Maximum78409.14
Range60318.99
Interquartile range (IQR)6248.47

Descriptive statistics

Standard deviation5479.5625
Coefficient of variation (CV)0.1454351
Kurtosis4.3333251
Mean37677.03
Median Absolute Deviation (MAD)3127.32
Skewness0.8983975
Sum66499958
Variance30025605
MonotonicityNot monotonic
2024-01-10T05:52:02.562473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39106.28 2
 
0.1%
30642.19 2
 
0.1%
35993.27 2
 
0.1%
34944.14 2
 
0.1%
28015.08 1
 
0.1%
37419.48 1
 
0.1%
37455.58 1
 
0.1%
38252.89 1
 
0.1%
37972.48 1
 
0.1%
35649.6 1
 
0.1%
Other values (1751) 1751
99.2%
ValueCountFrequency (%)
18090.15 1
0.1%
19988.28 1
0.1%
22589.1 1
0.1%
22865.9 1
0.1%
23971.47 1
0.1%
24144.35 1
0.1%
24199.71 1
0.1%
24271.39 1
0.1%
24517.5 1
0.1%
24545.28 1
0.1%
ValueCountFrequency (%)
78409.14 1
0.1%
73226.91 1
0.1%
67055.69 1
0.1%
65688.77 1
0.1%
63535.93 1
0.1%
62459.23 1
0.1%
60567.21 1
0.1%
57436.72 1
0.1%
57251.12 1
0.1%
57063.94 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41578.304
Minimum20756.12
Maximum82213.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:02.717057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20756.12
5-th percentile32731.61
Q138086.51
median41413.32
Q345062.37
95-th percentile50625.73
Maximum82213.6
Range61457.48
Interquartile range (IQR)6975.86

Descriptive statistics

Standard deviation5762.8279
Coefficient of variation (CV)0.1386018
Kurtosis3.2654697
Mean41578.304
Median Absolute Deviation (MAD)3538.88
Skewness0.61788072
Sum73385707
Variance33210185
MonotonicityNot monotonic
2024-01-10T05:52:02.860824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46058.23 2
 
0.1%
42658.75 2
 
0.1%
43023.99 1
 
0.1%
42293.74 1
 
0.1%
42553.04 1
 
0.1%
43680.16 1
 
0.1%
44023.28 1
 
0.1%
39739.19 1
 
0.1%
39543.0 1
 
0.1%
46384.22 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
20756.12 1
0.1%
22513.17 1
0.1%
25399.24 1
0.1%
25784.18 1
0.1%
25910.17 1
0.1%
26048.5 1
0.1%
26133.72 1
0.1%
26436.34 1
0.1%
27017.68 1
0.1%
27552.17 1
0.1%
ValueCountFrequency (%)
82213.6 1
0.1%
76514.36 1
0.1%
72211.87 1
0.1%
69364.94 1
0.1%
67234.13 1
0.1%
66979.89 1
0.1%
65396.44 1
0.1%
62164.15 1
0.1%
61655.35 1
0.1%
59736.64 1
0.1%

남성 50-54세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44489.196
Minimum21571.77
Maximum81016.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:03.009872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21571.77
5-th percentile34910.03
Q141021.15
median44375.39
Q348234.18
95-th percentile53579.846
Maximum81016.06
Range59444.29
Interquartile range (IQR)7213.03

Descriptive statistics

Standard deviation5874.5823
Coefficient of variation (CV)0.13204515
Kurtosis1.9620628
Mean44489.196
Median Absolute Deviation (MAD)3625.76
Skewness0.34294538
Sum78523430
Variance34510717
MonotonicityNot monotonic
2024-01-10T05:52:03.178171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31438.87 1
 
0.1%
41141.1 1
 
0.1%
46689.75 1
 
0.1%
47054.69 1
 
0.1%
48260.25 1
 
0.1%
42787.97 1
 
0.1%
44407.52 1
 
0.1%
49424.2 1
 
0.1%
48048.67 1
 
0.1%
46708.36 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
21571.77 1
0.1%
24592.87 1
0.1%
26974.7 1
0.1%
27573.53 1
0.1%
27936.05 1
0.1%
28274.36 1
0.1%
28761.18 1
0.1%
29006.21 1
0.1%
29812.42 1
0.1%
30126.31 1
0.1%
ValueCountFrequency (%)
81016.06 1
0.1%
76176.41 1
0.1%
72682.06 1
0.1%
70774.72 1
0.1%
69345.71 1
0.1%
66538.66 1
0.1%
65470.24 1
0.1%
62687.09 1
0.1%
62250.35 1
0.1%
61374.85 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41255.884
Minimum19209.9
Maximum65332.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:03.331675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19209.9
5-th percentile32329.97
Q138064.93
median41241.15
Q344708.72
95-th percentile49902.516
Maximum65332.54
Range46122.64
Interquartile range (IQR)6643.79

Descriptive statistics

Standard deviation5338.1847
Coefficient of variation (CV)0.12939208
Kurtosis0.63431411
Mean41255.884
Median Absolute Deviation (MAD)3327.55
Skewness0.10157438
Sum72816635
Variance28496216
MonotonicityNot monotonic
2024-01-10T05:52:03.476179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43981.48 2
 
0.1%
40811.45 2
 
0.1%
29931.71 1
 
0.1%
43302.1 1
 
0.1%
42359.82 1
 
0.1%
43459.38 1
 
0.1%
45641.29 1
 
0.1%
41535.88 1
 
0.1%
41829.39 1
 
0.1%
46210.04 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
19209.9 1
0.1%
22372.99 1
0.1%
24763.06 1
0.1%
26673.95 1
0.1%
26801.99 1
0.1%
27294.26 1
0.1%
27329.7 1
0.1%
27809.79 1
0.1%
27952.25 1
0.1%
28103.8 1
0.1%
ValueCountFrequency (%)
65332.54 1
0.1%
62665.9 1
0.1%
60181.2 1
0.1%
59268.9 1
0.1%
59093.06 1
0.1%
58248.99 1
0.1%
57873.06 1
0.1%
57767.73 1
0.1%
57390.95 1
0.1%
57249.98 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28835.623
Minimum12797.64
Maximum39992.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:03.619869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12797.64
5-th percentile22350.308
Q126588.26
median28865.83
Q331411
95-th percentile34652.1
Maximum39992.64
Range27195
Interquartile range (IQR)4822.74

Descriptive statistics

Standard deviation3707.6843
Coefficient of variation (CV)0.12857999
Kurtosis0.25863502
Mean28835.623
Median Absolute Deviation (MAD)2400.54
Skewness-0.21690281
Sum50894875
Variance13746923
MonotonicityNot monotonic
2024-01-10T05:52:03.776896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29081.05 2
 
0.1%
17691.36 1
 
0.1%
27902.5 1
 
0.1%
31088.79 1
 
0.1%
32110.75 1
 
0.1%
32985.36 1
 
0.1%
30164.99 1
 
0.1%
29934.72 1
 
0.1%
33151.99 1
 
0.1%
32374.49 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
12797.64 1
0.1%
15408.08 1
0.1%
16490.97 1
0.1%
16879.33 1
0.1%
17691.36 1
0.1%
17789.92 1
0.1%
18357.87 1
0.1%
18398.33 1
0.1%
19046.08 1
0.1%
19098.13 1
0.1%
ValueCountFrequency (%)
39992.64 1
0.1%
39329.81 1
0.1%
39172.59 1
0.1%
38857.43 1
0.1%
38598.85 1
0.1%
38432.88 1
0.1%
38359.88 1
0.1%
38298.36 1
0.1%
38256.19 1
0.1%
37917.4 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19226.361
Minimum8078.02
Maximum26409.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:03.940039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8078.02
5-th percentile14222.138
Q117553.95
median19315.44
Q321289.52
95-th percentile23306.938
Maximum26409.19
Range18331.17
Interquartile range (IQR)3735.57

Descriptive statistics

Standard deviation2790.5867
Coefficient of variation (CV)0.14514378
Kurtosis0.19431541
Mean19226.361
Median Absolute Deviation (MAD)1876.19
Skewness-0.40918496
Sum33934528
Variance7787374.2
MonotonicityNot monotonic
2024-01-10T05:52:04.093907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19293.82 2
 
0.1%
18314.3 2
 
0.1%
10245.6 1
 
0.1%
23288.24 1
 
0.1%
21499.89 1
 
0.1%
21113.86 1
 
0.1%
22224.36 1
 
0.1%
22124.41 1
 
0.1%
20103.67 1
 
0.1%
19941.39 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
8078.02 1
0.1%
9169.43 1
0.1%
9767.26 1
0.1%
10035.56 1
0.1%
10223.31 1
0.1%
10245.6 1
0.1%
11318.62 1
0.1%
11332.89 1
0.1%
11377.59 1
0.1%
11539.76 1
0.1%
ValueCountFrequency (%)
26409.19 1
0.1%
26348.76 1
0.1%
26258.41 1
0.1%
25903.72 1
0.1%
25839.95 1
0.1%
25724.37 1
0.1%
25721.55 1
0.1%
25697.65 1
0.1%
25665.25 1
0.1%
25563.36 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25477.017
Minimum10228.48
Maximum34128.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:04.257133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10228.48
5-th percentile18664.544
Q123297.07
median25822.04
Q328193.51
95-th percentile30854.186
Maximum34128.46
Range23899.98
Interquartile range (IQR)4896.44

Descriptive statistics

Standard deviation3735.4049
Coefficient of variation (CV)0.14661861
Kurtosis0.50459383
Mean25477.017
Median Absolute Deviation (MAD)2470.65
Skewness-0.6373842
Sum44966935
Variance13953250
MonotonicityNot monotonic
2024-01-10T05:52:04.413230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28422.27 2
 
0.1%
23413.01 2
 
0.1%
24027.02 1
 
0.1%
27495.19 1
 
0.1%
29569.5 1
 
0.1%
30339.71 1
 
0.1%
26275.48 1
 
0.1%
25685.15 1
 
0.1%
28755.88 1
 
0.1%
27784.77 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
10228.48 1
0.1%
11766.88 1
0.1%
11901.5 1
0.1%
12098.81 1
0.1%
12540.76 1
0.1%
12858.93 1
0.1%
13611.82 1
0.1%
13685.58 1
0.1%
13946.64 1
0.1%
14175.64 1
0.1%
ValueCountFrequency (%)
34128.46 1
0.1%
33981.84 1
0.1%
33913.67 1
0.1%
33705.06 1
0.1%
33471.09 1
0.1%
33287.81 1
0.1%
32942.65 1
0.1%
32941.25 1
0.1%
32816.07 1
0.1%
32708.41 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14435.913
Minimum4861.71
Maximum89888.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:04.555635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4861.71
5-th percentile7465.15
Q110024.46
median13398.67
Q317338.92
95-th percentile24653.566
Maximum89888.2
Range85026.49
Interquartile range (IQR)7314.46

Descriptive statistics

Standard deviation6086.2809
Coefficient of variation (CV)0.42160692
Kurtosis15.703465
Mean14435.913
Median Absolute Deviation (MAD)3585.42
Skewness2.3006679
Sum25479387
Variance37042815
MonotonicityNot monotonic
2024-01-10T05:52:04.698318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8973.47 2
 
0.1%
29670.3 1
 
0.1%
21311.03 1
 
0.1%
15231.79 1
 
0.1%
12400.1 1
 
0.1%
11481.14 1
 
0.1%
11890.36 1
 
0.1%
11976.96 1
 
0.1%
16449.72 1
 
0.1%
15161.96 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
4861.71 1
0.1%
4868.36 1
0.1%
5056.22 1
0.1%
5091.85 1
0.1%
5150.06 1
0.1%
5156.55 1
0.1%
5221.78 1
0.1%
5243.01 1
0.1%
5269.94 1
0.1%
5439.54 1
0.1%
ValueCountFrequency (%)
89888.2 1
0.1%
45683.15 1
0.1%
44485.52 1
0.1%
42868.92 1
0.1%
41864.51 1
0.1%
41619.67 1
0.1%
41366.12 1
0.1%
39005.06 1
0.1%
38785.49 1
0.1%
38380.5 1
0.1%
Distinct1762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10022.071
Minimum4729.12
Maximum99011.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:04.837987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4729.12
5-th percentile6047.406
Q17731.25
median9275.76
Q311205.16
95-th percentile15702.562
Maximum99011.19
Range94282.07
Interquartile range (IQR)3473.91

Descriptive statistics

Standard deviation4459.1884
Coefficient of variation (CV)0.4449368
Kurtosis108.84117
Mean10022.071
Median Absolute Deviation (MAD)1690.79
Skewness7.2695796
Sum17688956
Variance19884361
MonotonicityNot monotonic
2024-01-10T05:52:04.973274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6160.95 2
 
0.1%
9671.79 2
 
0.1%
8754.88 2
 
0.1%
21289.07 1
 
0.1%
7602.47 1
 
0.1%
7392.93 1
 
0.1%
7275.33 1
 
0.1%
9479.61 1
 
0.1%
8818.44 1
 
0.1%
8242.05 1
 
0.1%
Other values (1752) 1752
99.3%
ValueCountFrequency (%)
4729.12 1
0.1%
4799.82 1
0.1%
4818.67 1
0.1%
4836.07 1
0.1%
4939.83 1
0.1%
5036.25 1
0.1%
5085.05 1
0.1%
5208.86 1
0.1%
5228.92 1
0.1%
5231.07 1
0.1%
ValueCountFrequency (%)
99011.19 1
0.1%
60534.24 1
0.1%
52346.45 1
0.1%
46028.18 1
0.1%
41495.4 1
0.1%
34163.93 1
0.1%
32400.48 1
0.1%
31398.33 1
0.1%
30883.13 1
0.1%
30146.04 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20809.653
Minimum7977.92
Maximum186945.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:05.083191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7977.92
5-th percentile13772.986
Q117382
median20254.42
Q323175.8
95-th percentile28962.916
Maximum186945.69
Range178967.77
Interquartile range (IQR)5793.8

Descriptive statistics

Standard deviation6842.8899
Coefficient of variation (CV)0.32883248
Kurtosis212.68158
Mean20809.653
Median Absolute Deviation (MAD)2903.58
Skewness10.139743
Sum36729038
Variance46825142
MonotonicityNot monotonic
2024-01-10T05:52:05.201653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16767.05 2
 
0.1%
43996.48 1
 
0.1%
24798.0 1
 
0.1%
22918.9 1
 
0.1%
25047.24 1
 
0.1%
26158.82 1
 
0.1%
26942.65 1
 
0.1%
26518.83 1
 
0.1%
25620.91 1
 
0.1%
23123.42 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
7977.92 1
0.1%
10858.5 1
0.1%
10942.95 1
0.1%
11299.05 1
0.1%
11438.6 1
0.1%
11485.34 1
0.1%
11500.68 1
0.1%
11578.24 1
0.1%
11596.7 1
0.1%
11752.29 1
0.1%
ValueCountFrequency (%)
186945.69 1
0.1%
94834.65 1
0.1%
87473.08 1
0.1%
81149.61 1
0.1%
50324.4 1
0.1%
50308.95 1
0.1%
47837.95 1
0.1%
47187.4 1
0.1%
43996.48 1
0.1%
42073.48 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28093.905
Minimum10930.51
Maximum108921.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:05.320804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10930.51
5-th percentile20838.602
Q124176.23
median27345.08
Q331016.73
95-th percentile38486.038
Maximum108921.21
Range97990.7
Interquartile range (IQR)6840.5

Descriptive statistics

Standard deviation5756.0279
Coefficient of variation (CV)0.20488529
Kurtosis23.404652
Mean28093.905
Median Absolute Deviation (MAD)3360.12
Skewness2.4772497
Sum49585742
Variance33131857
MonotonicityNot monotonic
2024-01-10T05:52:05.439399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28951.14 2
 
0.1%
35592.81 1
 
0.1%
30975.31 1
 
0.1%
37152.36 1
 
0.1%
38322.94 1
 
0.1%
37926.02 1
 
0.1%
34528.82 1
 
0.1%
31047.9 1
 
0.1%
34503.95 1
 
0.1%
35650.08 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
10930.51 1
0.1%
13278.2 1
0.1%
17470.14 1
0.1%
17901.53 1
0.1%
18274.97 1
0.1%
18730.4 1
0.1%
18758.6 1
0.1%
18833.12 1
0.1%
18896.74 1
0.1%
19011.89 1
0.1%
ValueCountFrequency (%)
108921.21 1
0.1%
62269.45 1
0.1%
59784.49 1
0.1%
49327.95 1
0.1%
48758.48 1
0.1%
48357.9 1
0.1%
48287.27 1
0.1%
48040.46 1
0.1%
48025.11 1
0.1%
47649.97 1
0.1%

여성 25-29세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19866.64
Minimum7765.97
Maximum81456.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:05.555738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7765.97
5-th percentile15072.352
Q116876.42
median18721.98
Q321713.99
95-th percentile28260.67
Maximum81456.39
Range73690.42
Interquartile range (IQR)4837.57

Descriptive statistics

Standard deviation4599.0322
Coefficient of variation (CV)0.23149522
Kurtosis21.118478
Mean19866.64
Median Absolute Deviation (MAD)2221.25
Skewness2.7439961
Sum35064620
Variance21151097
MonotonicityNot monotonic
2024-01-10T05:52:05.674056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32652.61 1
 
0.1%
20341.5 1
 
0.1%
17325.39 1
 
0.1%
17402.31 1
 
0.1%
17788.13 1
 
0.1%
22438.35 1
 
0.1%
21648.41 1
 
0.1%
19690.93 1
 
0.1%
17704.77 1
 
0.1%
17143.67 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
7765.97 1
0.1%
10491.68 1
0.1%
12448.65 1
0.1%
12778.77 1
0.1%
13041.0 1
0.1%
13049.92 1
0.1%
13053.33 1
0.1%
13135.48 1
0.1%
13147.83 1
0.1%
13154.38 1
0.1%
ValueCountFrequency (%)
81456.39 1
0.1%
49184.3 1
0.1%
45820.74 1
0.1%
41667.79 1
0.1%
40891.57 1
0.1%
40721.14 1
0.1%
38998.71 1
0.1%
38977.36 1
0.1%
38608.99 1
0.1%
38254.65 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21256.658
Minimum8947.38
Maximum82085.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:06.104991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8947.38
5-th percentile15840.182
Q117745.56
median19875.59
Q323195.46
95-th percentile31609.024
Maximum82085.78
Range73138.4
Interquartile range (IQR)5449.9

Descriptive statistics

Standard deviation5243.3294
Coefficient of variation (CV)0.24666763
Kurtosis13.025661
Mean21256.658
Median Absolute Deviation (MAD)2401.91
Skewness2.3356079
Sum37518001
Variance27492503
MonotonicityNot monotonic
2024-01-10T05:52:06.236509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18913.12 2
 
0.1%
29787.65 1
 
0.1%
21832.23 1
 
0.1%
17847.4 1
 
0.1%
18360.53 1
 
0.1%
18601.39 1
 
0.1%
24265.3 1
 
0.1%
23016.72 1
 
0.1%
20166.96 1
 
0.1%
18035.78 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
8947.38 1
0.1%
10599.09 1
0.1%
13111.63 1
0.1%
13441.07 1
0.1%
13735.06 1
0.1%
13816.29 1
0.1%
13922.63 1
0.1%
14060.58 1
0.1%
14142.8 1
0.1%
14254.88 1
0.1%
ValueCountFrequency (%)
82085.78 1
0.1%
51378.75 1
0.1%
50336.17 1
0.1%
47462.75 1
0.1%
45727.31 1
0.1%
45349.54 1
0.1%
42020.9 1
0.1%
41929.12 1
0.1%
41276.41 1
0.1%
40651.58 1
0.1%

여성 35-39세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23915.47
Minimum11263.81
Maximum91784.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:06.358911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11263.81
5-th percentile17920.022
Q120212.96
median22660.01
Q325922.88
95-th percentile34579.432
Maximum91784.51
Range80520.7
Interquartile range (IQR)5709.92

Descriptive statistics

Standard deviation5769.894
Coefficient of variation (CV)0.24126199
Kurtosis14.616173
Mean23915.47
Median Absolute Deviation (MAD)2734.52
Skewness2.5090433
Sum42210805
Variance33291677
MonotonicityNot monotonic
2024-01-10T05:52:06.488777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30900.09 1
 
0.1%
22310.98 1
 
0.1%
20995.39 1
 
0.1%
21405.23 1
 
0.1%
21317.07 1
 
0.1%
26601.77 1
 
0.1%
23902.75 1
 
0.1%
21891.42 1
 
0.1%
20875.59 1
 
0.1%
19474.1 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
11263.81 1
0.1%
11453.3 1
0.1%
14702.58 1
0.1%
15152.49 1
0.1%
15158.17 1
0.1%
15680.04 1
0.1%
15975.17 1
0.1%
16055.02 1
0.1%
16139.15 1
0.1%
16182.8 1
0.1%
ValueCountFrequency (%)
91784.51 1
0.1%
60226.74 1
0.1%
57769.52 1
0.1%
53683.81 1
0.1%
51464.13 1
0.1%
49195.16 1
0.1%
48556.29 1
0.1%
48517.26 1
0.1%
48318.38 1
0.1%
47731.36 1
0.1%

여성 40-44세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28339.486
Minimum12738.14
Maximum93724.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:06.655066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12738.14
5-th percentile21331.574
Q124623.34
median27328.14
Q330342.25
95-th percentile39100.136
Maximum93724.35
Range80986.21
Interquartile range (IQR)5718.91

Descriptive statistics

Standard deviation6069.1177
Coefficient of variation (CV)0.21415765
Kurtosis12.393593
Mean28339.486
Median Absolute Deviation (MAD)2781.21
Skewness2.3488965
Sum50019193
Variance36834190
MonotonicityNot monotonic
2024-01-10T05:52:06.814488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29004.36 1
 
0.1%
26798.85 1
 
0.1%
25678.44 1
 
0.1%
26271.02 1
 
0.1%
26762.58 1
 
0.1%
30089.57 1
 
0.1%
28905.15 1
 
0.1%
27572.01 1
 
0.1%
26080.33 1
 
0.1%
24490.3 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
12738.14 1
0.1%
15288.56 1
0.1%
16283.38 1
0.1%
16559.99 1
0.1%
18369.51 1
0.1%
18498.64 1
0.1%
18569.66 1
0.1%
18718.73 1
0.1%
18868.85 1
0.1%
18895.2 1
0.1%
ValueCountFrequency (%)
93724.35 1
0.1%
68035.23 1
0.1%
64719.23 1
0.1%
61462.03 1
0.1%
59334.6 1
0.1%
58510.06 1
0.1%
56838.02 1
0.1%
55797.29 1
0.1%
55477.44 1
0.1%
55475.55 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30866.471
Minimum14444.12
Maximum89676.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:06.969927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14444.12
5-th percentile24018.034
Q127415.37
median30002.01
Q332957.32
95-th percentile40619.372
Maximum89676.53
Range75232.41
Interquartile range (IQR)5541.95

Descriptive statistics

Standard deviation5560.1563
Coefficient of variation (CV)0.1801358
Kurtosis10.675997
Mean30866.471
Median Absolute Deviation (MAD)2751.39
Skewness2.007585
Sum54479321
Variance30915338
MonotonicityNot monotonic
2024-01-10T05:52:07.118057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32515.05 2
 
0.1%
30537.36 2
 
0.1%
28397.35 1
 
0.1%
28084.08 1
 
0.1%
29252.31 1
 
0.1%
29785.01 1
 
0.1%
32289.87 1
 
0.1%
31630.83 1
 
0.1%
30741.87 1
 
0.1%
29177.96 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
14444.12 1
0.1%
16961.87 1
0.1%
18850.3 1
0.1%
19641.49 1
0.1%
20244.44 1
0.1%
21082.28 1
0.1%
21268.99 1
0.1%
21282.66 1
0.1%
21433.27 1
0.1%
21688.88 1
0.1%
ValueCountFrequency (%)
89676.53 1
0.1%
66379.4 1
0.1%
61091.09 1
0.1%
60893.27 1
0.1%
58842.56 1
0.1%
58370.79 1
0.1%
56709.16 1
0.1%
56366.81 1
0.1%
56105.2 1
0.1%
54354.78 1
0.1%
Distinct1763
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33766.649
Minimum14779.58
Maximum75294.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:07.262544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14779.58
5-th percentile25981.11
Q130257.41
median33196.5
Q336299.23
95-th percentile44327.438
Maximum75294.96
Range60515.38
Interquartile range (IQR)6041.82

Descriptive statistics

Standard deviation5533.8973
Coefficient of variation (CV)0.16388648
Kurtosis3.2885328
Mean33766.649
Median Absolute Deviation (MAD)3004.69
Skewness1.0091184
Sum59598136
Variance30624019
MonotonicityNot monotonic
2024-01-10T05:52:07.400576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30300.67 2
 
0.1%
29343.35 2
 
0.1%
42773.13 1
 
0.1%
32500.1 1
 
0.1%
31913.69 1
 
0.1%
33381.27 1
 
0.1%
34468.07 1
 
0.1%
36972.66 1
 
0.1%
35270.69 1
 
0.1%
34243.99 1
 
0.1%
Other values (1753) 1753
99.3%
ValueCountFrequency (%)
14779.58 1
0.1%
18106.64 1
0.1%
18126.68 1
0.1%
20279.53 1
0.1%
21572.71 1
0.1%
21692.54 1
0.1%
21857.34 1
0.1%
21857.95 1
0.1%
21902.15 1
0.1%
21955.46 1
0.1%
ValueCountFrequency (%)
75294.96 1
0.1%
62911.77 1
0.1%
59586.06 1
0.1%
57962.68 1
0.1%
56291.81 1
0.1%
56112.85 1
0.1%
53336.57 1
0.1%
53307.3 1
0.1%
53305.39 1
0.1%
52804.89 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32035.031
Minimum13948.85
Maximum53202.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:07.526554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13948.85
5-th percentile24418.004
Q128802.5
median31517.59
Q334710.7
95-th percentile41639.24
Maximum53202.32
Range39253.47
Interquartile range (IQR)5908.2

Descriptive statistics

Standard deviation5028.2208
Coefficient of variation (CV)0.15696007
Kurtosis1.071058
Mean32035.031
Median Absolute Deviation (MAD)2919.57
Skewness0.63001303
Sum56541829
Variance25283004
MonotonicityNot monotonic
2024-01-10T05:52:07.657183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29504.96 2
 
0.1%
31557.18 1
 
0.1%
31331.79 1
 
0.1%
32827.84 1
 
0.1%
32912.26 1
 
0.1%
35235.21 1
 
0.1%
34875.09 1
 
0.1%
33523.37 1
 
0.1%
31799.41 1
 
0.1%
30608.69 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
13948.85 1
0.1%
17216.35 1
0.1%
17526.76 1
0.1%
20298.32 1
0.1%
20342.86 1
0.1%
20718.23 1
0.1%
20750.42 1
0.1%
20768.17 1
0.1%
20812.17 1
0.1%
20812.87 1
0.1%
ValueCountFrequency (%)
53202.32 1
0.1%
52892.11 1
0.1%
50175.34 1
0.1%
49611.33 1
0.1%
49297.32 1
0.1%
48993.82 1
0.1%
48912.95 1
0.1%
48634.45 1
0.1%
48355.97 1
0.1%
48139.06 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22678.524
Minimum9523.04
Maximum35277.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:07.791689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9523.04
5-th percentile17621.22
Q120515.44
median22593.96
Q324580.19
95-th percentile28598.474
Maximum35277.62
Range25754.58
Interquartile range (IQR)4064.75

Descriptive statistics

Standard deviation3289.6175
Coefficient of variation (CV)0.1450543
Kurtosis0.75670312
Mean22678.524
Median Absolute Deviation (MAD)2026.95
Skewness0.35435479
Sum40027595
Variance10821583
MonotonicityNot monotonic
2024-01-10T05:52:07.910936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24768.0 2
 
0.1%
16373.77 1
 
0.1%
22259.01 1
 
0.1%
22760.41 1
 
0.1%
23484.23 1
 
0.1%
24183.56 1
 
0.1%
24996.25 1
 
0.1%
24349.48 1
 
0.1%
23453.77 1
 
0.1%
22803.23 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
9523.04 1
0.1%
11683.46 1
0.1%
12385.63 1
0.1%
12662.42 1
0.1%
14415.36 1
0.1%
14431.89 1
0.1%
14896.92 1
0.1%
14933.77 1
0.1%
15019.36 1
0.1%
15034.78 1
0.1%
ValueCountFrequency (%)
35277.62 1
0.1%
34410.2 1
0.1%
34257.11 1
0.1%
34250.59 1
0.1%
33728.35 1
0.1%
33555.56 1
0.1%
33397.19 1
0.1%
33324.52 1
0.1%
33259.09 1
0.1%
32962.51 1
0.1%

여성 65-69세 유동인구수
Real number (ℝ)

UNIQUE 

Distinct1765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15839.351
Minimum6641.28
Maximum25114.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:08.031955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6641.28
5-th percentile11970.998
Q114147.71
median15737.73
Q317509.7
95-th percentile19729.72
Maximum25114.51
Range18473.23
Interquartile range (IQR)3361.99

Descriptive statistics

Standard deviation2424.3967
Coefficient of variation (CV)0.15306162
Kurtosis0.2212247
Mean15839.351
Median Absolute Deviation (MAD)1693.4
Skewness0.16652513
Sum27956454
Variance5877699.1
MonotonicityNot monotonic
2024-01-10T05:52:08.162172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10589.45 1
 
0.1%
15245.05 1
 
0.1%
16252.76 1
 
0.1%
17050.38 1
 
0.1%
17729.86 1
 
0.1%
16527.98 1
 
0.1%
16328.48 1
 
0.1%
17184.5 1
 
0.1%
16248.26 1
 
0.1%
15974.05 1
 
0.1%
Other values (1755) 1755
99.4%
ValueCountFrequency (%)
6641.28 1
0.1%
8456.97 1
0.1%
8477.55 1
0.1%
8542.49 1
0.1%
9145.12 1
0.1%
9171.36 1
0.1%
9608.54 1
0.1%
9932.97 1
0.1%
10176.2 1
0.1%
10211.54 1
0.1%
ValueCountFrequency (%)
25114.51 1
0.1%
24373.86 1
0.1%
23954.78 1
0.1%
23771.69 1
0.1%
23753.24 1
0.1%
23707.26 1
0.1%
23150.31 1
0.1%
23034.08 1
0.1%
22995.51 1
0.1%
22963.28 1
0.1%
Distinct1764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32390.848
Minimum11909.24
Maximum47928.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.6 KiB
2024-01-10T05:52:08.281735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11909.24
5-th percentile23719.254
Q130038.07
median32747.68
Q335514.63
95-th percentile38941.232
Maximum47928.5
Range36019.26
Interquartile range (IQR)5476.56

Descriptive statistics

Standard deviation4626.8166
Coefficient of variation (CV)0.14284333
Kurtosis1.4590614
Mean32390.848
Median Absolute Deviation (MAD)2754.98
Skewness-0.81447951
Sum57169847
Variance21407431
MonotonicityNot monotonic
2024-01-10T05:52:08.396971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30376.29 2
 
0.1%
16741.65 1
 
0.1%
36332.27 1
 
0.1%
38573.29 1
 
0.1%
34562.78 1
 
0.1%
33410.88 1
 
0.1%
36041.57 1
 
0.1%
36484.58 1
 
0.1%
32380.75 1
 
0.1%
31483.65 1
 
0.1%
Other values (1754) 1754
99.4%
ValueCountFrequency (%)
11909.24 1
0.1%
15243.12 1
0.1%
15792.79 1
0.1%
16150.96 1
0.1%
16741.65 1
0.1%
16797.65 1
0.1%
16885.28 1
0.1%
17038.99 1
0.1%
17048.4 1
0.1%
17318.49 1
0.1%
ValueCountFrequency (%)
47928.5 1
0.1%
46874.85 1
0.1%
44874.51 1
0.1%
44191.95 1
0.1%
44124.8 1
0.1%
43683.89 1
0.1%
43640.65 1
0.1%
43159.61 1
0.1%
43064.32 1
0.1%
41855.08 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
020190101공주시29128.4721529.9849137.2238610.2430255.5629380.330206.3928015.0830876.531438.8729931.7117691.3610245.611901.529670.321289.0743996.4835592.8132652.6129787.6530900.0929004.3630052.3428695.4228319.8116373.7710589.4516741.65
120190102공주시16549.039354.8430880.6228306.5420814.2623490.9927015.5728170.1230784.0529812.4228904.2216879.339767.2611766.8812560.6910161.1723611.3822249.3317689.017353.8419482.0120491.8221082.2820279.5320298.3212385.638477.5515243.12
220190103공주시8412.778826.5223192.2325987.2919518.6522454.9126040.5727828.4630737.5331412.6529658.4419908.2212125.0915361.167916.418517.4720048.3221115.0216857.6916556.6618581.3719623.6721841.8921955.4620768.1714415.3610810.1718029.82
320190104공주시11865.6811729.132193.3730138.2724242.826270.0129373.931274.5234949.5735371.6831149.5120637.6112155.9415849.4512647.1213541.7225600.2523510.4721204.0420774.5322176.5523375.2524526.8423872.5421909.6415302.0110696.1619424.04
420190105공주시17452.3416898.8836369.1930013.8624568.6926901.0428813.228580.2431948.9934273.9431697.0221294.6812913.1415074.3817259.7418370.9432986.9927183.1326187.7426353.1627648.0827608.0928934.4229114.5127050.9318302.5412835.4619310.67
520190106공주시15051.7115508.1235369.1729600.7223801.2924305.825716.0625632.9128202.7831029.4528617.0520069.5912008.2414432.816009.215827.2831415.3225207.7524108.3124040.4225360.2224534.3925532.4926839.4926202.7717680.3911919.4619140.68
620190107공주시9887.859193.6423938.0427243.6519809.9822288.1924945.526441.0331023.6132178.2129247.0819507.211738.1713685.588696.199042.5220797.3221019.9117798.4817050.9718040.2420039.1821688.8821902.1521524.8815019.3610176.218269.8
720190108공주시9728.217390.1324559.8925286.8419232.3622591.8126550.4227843.0931775.5332847.4129874.4720149.5312396.415081.088135.98080.7621090.8219702.1716696.5816316.3917934.7119455.1722687.1722219.7121907.4415408.7611061.5818755.91
820190109공주시9930.227509.3423665.9723920.918833.1522509.4526010.3427178.9730214.6632596.1228948.4819046.0811624.9314175.647723.467642.2522528.1519929.6415405.415878.4117023.6218569.6622284.6821857.3420342.8615128.1310492.2318252.03
920190110공주시9035.999183.9323640.7925441.3419277.1322885.2626470.2427619.9831275.7432675.029625.2819474.8811763.4115069.68654.329396.1620578.5119903.4516751.9916742.7218056.8319987.0621997.9321692.5420989.9115034.7810561.9217048.4
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
175520231022공주시18281.9112062.4222589.4226259.620787.6823329.7124353.1230775.2633557.9236189.8435130.2426977.3618792.7224478.4219261.0611705.3421111.5225208.2519657.621238.7923818.6228846.8330732.6433029.9832055.9723897.8117739.8431163.84
175620231023공주시16603.589610.0623586.7128781.2121208.923389.3225699.1631904.2935144.6537470.5436054.1927410.6620165.8227684.5316715.159738.7823270.7128094.8316832.5418043.3721667.0826400.2128121.8531793.5630124.223079.1617448.7634797.54
175720231024공주시16255.059665.5724383.9928582.5121301.2223872.0125439.6232465.9636406.9839791.0936607.8827346.6520118.4127516.5716545.2810412.7925664.6229310.4416694.2518066.621046.2826747.230079.0432499.2829581.422371.6316840.4834477.85
175820231025공주시16342.8410612.8325213.5528559.3622506.9223680.7725648.8232964.2636701.5839502.0536173.8327388.2620198.1227990.0817121.3210957.4426508.6230489.0616771.3118400.4321340.2527551.8330438.4532493.9229937.123076.717591.1735509.48
175920231026공주시16977.09549.123646.6729432.321895.824015.225141.0732481.2135036.1237793.4435215.5127356.6720408.3229328.2316843.510088.1923039.8829215.9116809.0318114.5321230.6627273.3129654.4532260.8530444.823871.1218139.5838207.35
176020231027공주시17136.6110479.4527059.330310.4723706.0725479.2927472.4735277.0138108.4240884.2338171.0828369.4521233.2628780.0317605.8610865.6123641.5529443.2918400.5520592.0624206.6928657.2530637.5933284.0330565.2724173.3918039.9936762.17
176120231028공주시21830.1313433.5922442.7129500.1623854.126623.028713.435918.6539227.543571.5640557.8531302.4922727.4729651.3320768.3513505.1820622.4226815.5122507.0825032.7727926.233999.9435275.4339701.1736782.4928788.1520305.0737159.83
176220231029공주시21620.1812385.6723050.3828865.222078.6224198.1726464.4232699.6936045.5238895.0636769.4328190.8320291.7825593.3519651.2311926.220607.1626360.4120513.823817.2126318.5731170.7232013.2935751.434004.2726019.2118444.9133215.27
176320231030공주시14899.379406.7323449.6328701.9821412.0423432.8325646.0232532.5635596.6738104.8236293.0228092.3420265.3427962.1317481.59852.7923556.9329463.6616919.0419141.0121905.2826774.628324.631369.7930122.9423259.6417806.2636159.43
176420231031공주시16165.269164.7124051.3529418.1921543.4223913.2725541.6632990.2436055.2239102.2736510.728599.9920837.8728387.7416270.149647.1223879.9929692.7817132.9319065.3321431.7627320.4128969.3932587.7131007.8423537.4217737.8736188.15