Overview

Dataset statistics

Number of variables28
Number of observations1892
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory460.2 KiB
Average record size in memory249.1 B

Variable types

Categorical2
Numeric25
DateTime1

Dataset

Description경기도 수원시의 생활이동인구 데이터 중 수원시 관내이동 데이터로, 이동기점, 이동종점, 연령별, 월별, 시간대별 생활이동인구 데이터를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15097908/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 06:26:48.108028
Analysis finished2023-12-12 06:26:48.677966
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인구이동_기점
Categorical

Distinct44
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
고등동
 
43
곡선동
 
43
매교동
 
43
광교1동
 
43
광교2동
 
43
Other values (39)
1677 

Length

Max length4
Median length4
Mean length3.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고등동 43
 
2.3%
곡선동 43
 
2.3%
매교동 43
 
2.3%
광교1동 43
 
2.3%
광교2동 43
 
2.3%
구운동 43
 
2.3%
권선1동 43
 
2.3%
권선2동 43
 
2.3%
금곡동 43
 
2.3%
망포1동 43
 
2.3%
Other values (34) 1462
77.3%

Length

2023-12-12T15:26:48.758925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고등동 43
 
2.3%
곡선동 43
 
2.3%
정자1동 43
 
2.3%
영통3동 43
 
2.3%
영화동 43
 
2.3%
우만1동 43
 
2.3%
우만2동 43
 
2.3%
원천동 43
 
2.3%
율천동 43
 
2.3%
인계동 43
 
2.3%
Other values (34) 1462
77.3%

인구이동_종점
Categorical

Distinct44
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
곡선동
 
43
광교1동
 
43
매산동
 
43
광교2동
 
43
구운동
 
43
Other values (39)
1677 

Length

Max length4
Median length4
Mean length3.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row곡선동
2nd row광교1동
3rd row광교2동
4th row구운동
5th row권선1동

Common Values

ValueCountFrequency (%)
곡선동 43
 
2.3%
광교1동 43
 
2.3%
매산동 43
 
2.3%
광교2동 43
 
2.3%
구운동 43
 
2.3%
권선1동 43
 
2.3%
권선2동 43
 
2.3%
금곡동 43
 
2.3%
망포1동 43
 
2.3%
망포2동 43
 
2.3%
Other values (34) 1462
77.3%

Length

2023-12-12T15:26:48.976006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡선동 43
 
2.3%
광교1동 43
 
2.3%
정자2동 43
 
2.3%
영화동 43
 
2.3%
우만1동 43
 
2.3%
우만2동 43
 
2.3%
원천동 43
 
2.3%
율천동 43
 
2.3%
인계동 43
 
2.3%
입북동 43
 
2.3%
Other values (34) 1462
77.3%

0세_19세 일평균 관내이동 인구
Real number (ℝ)

Distinct1743
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.26705
Minimum0.07
Maximum10917.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:49.137719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.201
Q111.775
median32.615
Q3123.7375
95-th percentile1528.8295
Maximum10917.88
Range10917.81
Interquartile range (IQR)111.9625

Descriptive statistics

Standard deviation862.88605
Coefficient of variation (CV)3.1121118
Kurtosis49.133855
Mean277.26705
Median Absolute Deviation (MAD)27.2
Skewness6.2185728
Sum524589.26
Variance744572.33
MonotonicityNot monotonic
2023-12-12T15:26:49.304106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.74 4
 
0.2%
2.1 3
 
0.2%
43.17 3
 
0.2%
1.87 3
 
0.2%
11.84 3
 
0.2%
1.07 3
 
0.2%
26.07 3
 
0.2%
2.74 3
 
0.2%
5.05 3
 
0.2%
2.98 3
 
0.2%
Other values (1733) 1861
98.4%
ValueCountFrequency (%)
0.07 1
0.1%
0.14 1
0.1%
0.15 1
0.1%
0.23 2
0.1%
0.24 1
0.1%
0.26 2
0.1%
0.34 2
0.1%
0.37 1
0.1%
0.45 1
0.1%
0.46 1
0.1%
ValueCountFrequency (%)
10917.88 1
0.1%
9492.35 1
0.1%
9434.74 1
0.1%
8340.31 1
0.1%
7691.85 1
0.1%
7474.8 1
0.1%
7213.62 1
0.1%
7167.9 1
0.1%
7063.98 1
0.1%
6712.74 1
0.1%

20세_39세 일평균 관내이동 인구
Real number (ℝ)

Distinct1864
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean844.41188
Minimum2.53
Maximum29984.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:49.509178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.53
5-th percentile27.8495
Q186.4025
median206.725
Q3595.745
95-th percentile4126.638
Maximum29984.55
Range29982.02
Interquartile range (IQR)509.3425

Descriptive statistics

Standard deviation1999.5274
Coefficient of variation (CV)2.3679527
Kurtosis50.125515
Mean844.41188
Median Absolute Deviation (MAD)154.665
Skewness5.8393125
Sum1597627.3
Variance3998109.6
MonotonicityNot monotonic
2023-12-12T15:26:49.694580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.82 3
 
0.2%
115.99 2
 
0.1%
72.33 2
 
0.1%
143.88 2
 
0.1%
130.28 2
 
0.1%
76.79 2
 
0.1%
15.38 2
 
0.1%
106.27 2
 
0.1%
69.34 2
 
0.1%
46.51 2
 
0.1%
Other values (1854) 1871
98.9%
ValueCountFrequency (%)
2.53 1
0.1%
3.09 1
0.1%
4.94 1
0.1%
5.63 1
0.1%
6.01 1
0.1%
6.3 1
0.1%
6.86 2
0.1%
7.21 1
0.1%
7.36 1
0.1%
7.83 1
0.1%
ValueCountFrequency (%)
29984.55 1
0.1%
24157.65 1
0.1%
17389.93 1
0.1%
16415.81 1
0.1%
16352.74 1
0.1%
15526.72 1
0.1%
15318.0 1
0.1%
14627.9 1
0.1%
13995.41 1
0.1%
13463.78 1
0.1%

40세_64세 일평균 관내이동 인구
Real number (ℝ)

Distinct1872
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1194.952
Minimum5.2
Maximum36423.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:49.872885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile41.7635
Q1144.0625
median324.515
Q3900.3225
95-th percentile5980.6725
Maximum36423.15
Range36417.95
Interquartile range (IQR)756.26

Descriptive statistics

Standard deviation2644.0529
Coefficient of variation (CV)2.2126855
Kurtosis34.221554
Mean1194.952
Median Absolute Deviation (MAD)233.485
Skewness4.9181806
Sum2260849.1
Variance6991015.9
MonotonicityNot monotonic
2023-12-12T15:26:50.067915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
647.38 2
 
0.1%
215.32 2
 
0.1%
108.42 2
 
0.1%
101.58 2
 
0.1%
29.63 2
 
0.1%
125.9 2
 
0.1%
62.35 2
 
0.1%
105.23 2
 
0.1%
17.11 2
 
0.1%
1513.16 2
 
0.1%
Other values (1862) 1872
98.9%
ValueCountFrequency (%)
5.2 1
0.1%
6.6 1
0.1%
8.61 1
0.1%
11.39 1
0.1%
11.6 1
0.1%
11.68 1
0.1%
11.84 1
0.1%
11.87 1
0.1%
11.97 1
0.1%
12.58 1
0.1%
ValueCountFrequency (%)
36423.15 1
0.1%
22428.36 1
0.1%
22293.24 1
0.1%
21509.83 1
0.1%
20412.91 1
0.1%
19668.73 1
0.1%
18495.39 1
0.1%
18410.49 1
0.1%
17391.08 1
0.1%
17263.25 1
0.1%

65세 이상 일평균 관내이동 인구
Real number (ℝ)

Distinct1780
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.19964
Minimum0.52
Maximum6158.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:50.247391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile4.541
Q120.4725
median51
Q3139.95
95-th percentile1122.396
Maximum6158.4
Range6157.88
Interquartile range (IQR)119.4775

Descriptive statistics

Standard deviation474.20893
Coefficient of variation (CV)2.2776646
Kurtosis28.416761
Mean208.19964
Median Absolute Deviation (MAD)38.42
Skewness4.5632354
Sum393913.71
Variance224874.11
MonotonicityNot monotonic
2023-12-12T15:26:50.413430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.74 3
 
0.2%
14.05 3
 
0.2%
89.74 3
 
0.2%
33.56 3
 
0.2%
7.85 3
 
0.2%
28.12 3
 
0.2%
8.72 3
 
0.2%
28.98 3
 
0.2%
5.07 3
 
0.2%
10.74 3
 
0.2%
Other values (1770) 1862
98.4%
ValueCountFrequency (%)
0.52 1
0.1%
0.67 1
0.1%
0.84 1
0.1%
0.85 1
0.1%
0.86 1
0.1%
0.88 1
0.1%
0.99 1
0.1%
1.06 1
0.1%
1.08 1
0.1%
1.09 1
0.1%
ValueCountFrequency (%)
6158.4 1
0.1%
3764.69 1
0.1%
3720.19 1
0.1%
3598.54 1
0.1%
3533.32 1
0.1%
3306.27 1
0.1%
3157.41 1
0.1%
3055.18 1
0.1%
2997.91 1
0.1%
2927.71 1
0.1%

남성_일평균 관내이동 인구
Real number (ℝ)

Distinct1865
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1309.6145
Minimum3.92
Maximum45058.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:50.600746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.92
5-th percentile38.3785
Q1132.6025
median303.71
Q3908.7525
95-th percentile6803.585
Maximum45058.29
Range45054.37
Interquartile range (IQR)776.15

Descriptive statistics

Standard deviation3127.9017
Coefficient of variation (CV)2.3884141
Kurtosis41.130961
Mean1309.6145
Median Absolute Deviation (MAD)221.925
Skewness5.3609602
Sum2477790.5
Variance9783768.8
MonotonicityNot monotonic
2023-12-12T15:26:50.789659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.31 2
 
0.1%
121.72 2
 
0.1%
608.62 2
 
0.1%
39.4 2
 
0.1%
269.53 2
 
0.1%
49.64 2
 
0.1%
284.74 2
 
0.1%
89.19 2
 
0.1%
26.42 2
 
0.1%
203.89 2
 
0.1%
Other values (1855) 1872
98.9%
ValueCountFrequency (%)
3.92 1
0.1%
5.03 1
0.1%
5.66 2
0.1%
8.96 1
0.1%
9.3 1
0.1%
9.45 1
0.1%
10.21 1
0.1%
10.97 1
0.1%
11.47 1
0.1%
11.92 1
0.1%
ValueCountFrequency (%)
45058.29 1
0.1%
30985.57 1
0.1%
27806.3 1
0.1%
26702.41 1
0.1%
24477.81 1
0.1%
24103.61 1
0.1%
22246.49 1
0.1%
22140.85 1
0.1%
20129.83 1
0.1%
19915.72 1
0.1%

여성_일평균 관내이동 인구
Real number (ℝ)

Distinct1880
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1215.2162
Minimum6.53
Maximum36942.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:50.989959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.53
5-th percentile43.661
Q1140.13
median323.3
Q3880.0175
95-th percentile6172.4165
Maximum36942.56
Range36936.03
Interquartile range (IQR)739.8875

Descriptive statistics

Standard deviation2706.8174
Coefficient of variation (CV)2.227437
Kurtosis34.856671
Mean1215.2162
Median Absolute Deviation (MAD)231.97
Skewness4.9639822
Sum2299189
Variance7326860.5
MonotonicityNot monotonic
2023-12-12T15:26:51.176350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
667.46 2
 
0.1%
113.09 2
 
0.1%
121.99 2
 
0.1%
89.79 2
 
0.1%
632.14 2
 
0.1%
151.97 2
 
0.1%
58.95 2
 
0.1%
46.8 2
 
0.1%
98.62 2
 
0.1%
244.79 2
 
0.1%
Other values (1870) 1872
98.9%
ValueCountFrequency (%)
6.53 1
0.1%
10.24 1
0.1%
10.61 1
0.1%
11.39 1
0.1%
14.05 1
0.1%
14.54 1
0.1%
15.09 1
0.1%
16.19 1
0.1%
16.27 1
0.1%
16.34 1
0.1%
ValueCountFrequency (%)
36942.56 1
0.1%
26298.94 1
0.1%
22935.94 1
0.1%
21182.68 1
0.1%
20489.7 1
0.1%
19567.53 1
0.1%
19315.9 1
0.1%
19095.67 1
0.1%
18341.5 1
0.1%
18191.18 1
0.1%

2020년 1월_일평균 관내이동 인구
Real number (ℝ)

Distinct1887
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2635.4912
Minimum11.65
Maximum83739.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:51.325397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.65
5-th percentile95.584
Q1293.2525
median678.575
Q31882.855
95-th percentile13173.069
Maximum83739.19
Range83727.54
Interquartile range (IQR)1589.6025

Descriptive statistics

Standard deviation6021.4333
Coefficient of variation (CV)2.284748
Kurtosis38.464902
Mean2635.4912
Median Absolute Deviation (MAD)488.325
Skewness5.2100006
Sum4986349.4
Variance36257659
MonotonicityNot monotonic
2023-12-12T15:26:51.472170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
586.03 2
 
0.1%
629.12 2
 
0.1%
107.19 2
 
0.1%
751.68 2
 
0.1%
322.57 2
 
0.1%
3530.47 1
 
0.1%
124.24 1
 
0.1%
896.18 1
 
0.1%
1597.99 1
 
0.1%
113.56 1
 
0.1%
Other values (1877) 1877
99.2%
ValueCountFrequency (%)
11.65 1
0.1%
13.99 1
0.1%
15.04 1
0.1%
24.8 1
0.1%
25.09 1
0.1%
25.18 1
0.1%
26.86 1
0.1%
28.65 1
0.1%
29.53 1
0.1%
29.74 1
0.1%
ValueCountFrequency (%)
83739.19 1
0.1%
60395.27 1
0.1%
53203.95 1
0.1%
50679.74 1
0.1%
46348.58 1
0.1%
46176.25 1
0.1%
45004.34 1
0.1%
44168.23 1
0.1%
42481.01 1
0.1%
38454.66 1
0.1%

2020년 2월_일평균 관내이동 인구
Real number (ℝ)

Distinct1883
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2494.2931
Minimum13.05
Maximum75852.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:51.632656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.05
5-th percentile87.9845
Q1266.9025
median632.44
Q31760.36
95-th percentile12247.923
Maximum75852.18
Range75839.13
Interquartile range (IQR)1493.4575

Descriptive statistics

Standard deviation5739.3711
Coefficient of variation (CV)2.3010011
Kurtosis34.476002
Mean2494.2931
Median Absolute Deviation (MAD)451.91
Skewness5.0174218
Sum4719202.6
Variance32940380
MonotonicityNot monotonic
2023-12-12T15:26:51.809504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
781.7 2
 
0.1%
48.01 2
 
0.1%
527.91 2
 
0.1%
260.74 2
 
0.1%
575.26 2
 
0.1%
95.76 2
 
0.1%
103.75 2
 
0.1%
184.51 2
 
0.1%
355.03 2
 
0.1%
726.36 1
 
0.1%
Other values (1873) 1873
99.0%
ValueCountFrequency (%)
13.05 1
0.1%
15.21 1
0.1%
18.86 1
0.1%
19.12 1
0.1%
20.82 1
0.1%
21.23 1
0.1%
26.07 1
0.1%
27.01 1
0.1%
28.13 1
0.1%
29.44 1
0.1%
ValueCountFrequency (%)
75852.18 1
0.1%
56106.26 1
0.1%
50555.29 1
0.1%
46773.07 1
0.1%
44258.61 1
0.1%
42724.06 1
0.1%
42496.73 1
0.1%
40225.86 1
0.1%
39583.46 1
0.1%
35566.7 1
0.1%

2020년 3월_일평균 관내이동 인구
Real number (ℝ)

Distinct1888
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2438.0632
Minimum6.17
Maximum76705.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:52.008446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.17
5-th percentile76.4245
Q1251.3775
median595.335
Q31672.155
95-th percentile12549.156
Maximum76705.5
Range76699.33
Interquartile range (IQR)1420.7775

Descriptive statistics

Standard deviation5687.7027
Coefficient of variation (CV)2.3328775
Kurtosis36.139134
Mean2438.0632
Median Absolute Deviation (MAD)432.965
Skewness5.0827443
Sum4612815.6
Variance32349962
MonotonicityNot monotonic
2023-12-12T15:26:52.201049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.41 2
 
0.1%
511.87 2
 
0.1%
399.23 2
 
0.1%
196.88 2
 
0.1%
179.47 1
 
0.1%
116.83 1
 
0.1%
933.65 1
 
0.1%
1426.13 1
 
0.1%
108.16 1
 
0.1%
2812.94 1
 
0.1%
Other values (1878) 1878
99.3%
ValueCountFrequency (%)
6.17 1
0.1%
8.33 1
0.1%
11.14 1
0.1%
14.15 1
0.1%
15.42 1
0.1%
18.77 1
0.1%
21.87 1
0.1%
23.29 1
0.1%
25.02 1
0.1%
25.31 1
0.1%
ValueCountFrequency (%)
76705.5 1
0.1%
58720.54 1
0.1%
50150.46 1
0.1%
48741.71 1
0.1%
43770.36 1
0.1%
42575.68 1
0.1%
39480.8 1
0.1%
38818.8 1
0.1%
38267.09 1
0.1%
35141.17 1
0.1%

2020년 4월_일평균 관내이동 인구
Real number (ℝ)

Distinct1889
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2601.8773
Minimum9.22
Maximum84548.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:52.388873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.22
5-th percentile83.8145
Q1270.9025
median631.54
Q31784.3725
95-th percentile13044.015
Maximum84548.97
Range84539.75
Interquartile range (IQR)1513.47

Descriptive statistics

Standard deviation6100.2899
Coefficient of variation (CV)2.3445724
Kurtosis38.852654
Mean2601.8773
Median Absolute Deviation (MAD)452.62
Skewness5.2296016
Sum4922751.9
Variance37213537
MonotonicityNot monotonic
2023-12-12T15:26:52.892070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537.07 2
 
0.1%
93.33 2
 
0.1%
444.93 2
 
0.1%
195.92 1
 
0.1%
200.05 1
 
0.1%
861.56 1
 
0.1%
220.76 1
 
0.1%
731.73 1
 
0.1%
272.97 1
 
0.1%
3375.82 1
 
0.1%
Other values (1879) 1879
99.3%
ValueCountFrequency (%)
9.22 1
0.1%
9.74 1
0.1%
11.49 1
0.1%
17.08 1
0.1%
19.42 1
0.1%
19.95 1
0.1%
20.69 1
0.1%
21.08 1
0.1%
23.55 1
0.1%
26.12 1
0.1%
ValueCountFrequency (%)
84548.97 1
0.1%
64640.89 1
0.1%
53986.69 1
0.1%
52234.47 1
0.1%
51639.09 1
0.1%
43906.69 1
0.1%
42709.06 1
0.1%
39741.03 1
0.1%
39442.98 1
0.1%
39150.15 1
0.1%

2020년 5월_일평균 관내이동 인구
Real number (ℝ)

Distinct1886
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2545.4618
Minimum5.07
Maximum73838.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:53.060038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.07
5-th percentile80.3375
Q1275.4125
median634.63
Q31762.875
95-th percentile12732.233
Maximum73838.36
Range73833.29
Interquartile range (IQR)1487.4625

Descriptive statistics

Standard deviation5834.0504
Coefficient of variation (CV)2.2919418
Kurtosis32.459885
Mean2545.4618
Median Absolute Deviation (MAD)459.15
Skewness4.9075387
Sum4816013.8
Variance34036144
MonotonicityNot monotonic
2023-12-12T15:26:53.240965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.1 2
 
0.1%
175.5 2
 
0.1%
63.32 2
 
0.1%
60.55 2
 
0.1%
66.64 2
 
0.1%
491.14 2
 
0.1%
877.11 1
 
0.1%
187.72 1
 
0.1%
671.02 1
 
0.1%
217.43 1
 
0.1%
Other values (1876) 1876
99.2%
ValueCountFrequency (%)
5.07 1
0.1%
8.17 1
0.1%
12.09 1
0.1%
14.61 1
0.1%
15.87 1
0.1%
16.67 1
0.1%
18.37 1
0.1%
21.66 1
0.1%
23.84 1
0.1%
25.01 1
0.1%
ValueCountFrequency (%)
73838.36 1
0.1%
56873.84 1
0.1%
53457.44 1
0.1%
48424.56 1
0.1%
45797.12 1
0.1%
43435.28 1
0.1%
40436.25 1
0.1%
39909.77 1
0.1%
37819.18 1
0.1%
37570.42 1
0.1%

2020년 6월_일평균 관내이동 인구
Real number (ℝ)

Distinct1886
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2610.5346
Minimum6.04
Maximum81634.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:53.434785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.04
5-th percentile84.568
Q1278.9625
median662.375
Q31861.45
95-th percentile12854.645
Maximum81634.08
Range81628.04
Interquartile range (IQR)1582.4875

Descriptive statistics

Standard deviation5927.2159
Coefficient of variation (CV)2.2704989
Kurtosis36.020782
Mean2610.5346
Median Absolute Deviation (MAD)473.84
Skewness5.0394512
Sum4939131.4
Variance35131888
MonotonicityNot monotonic
2023-12-12T15:26:53.613515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168.33 2
 
0.1%
405.95 2
 
0.1%
341.58 2
 
0.1%
227.12 2
 
0.1%
987.12 2
 
0.1%
301.61 2
 
0.1%
246.0 1
 
0.1%
984.75 1
 
0.1%
650.47 1
 
0.1%
3858.41 1
 
0.1%
Other values (1876) 1876
99.2%
ValueCountFrequency (%)
6.04 1
0.1%
12.53 1
0.1%
13.74 1
0.1%
14.15 1
0.1%
17.51 1
0.1%
17.85 1
0.1%
19.54 1
0.1%
25.96 1
0.1%
26.31 1
0.1%
27.32 1
0.1%
ValueCountFrequency (%)
81634.08 1
0.1%
55219.48 1
0.1%
52202.97 1
0.1%
51331.14 1
0.1%
47988.73 1
0.1%
45061.37 1
0.1%
41794.39 1
0.1%
39262.28 1
0.1%
37245.7 1
0.1%
35637.35 1
0.1%

2020년 7월_일평균 관내이동 인구
Real number (ℝ)

Distinct1886
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2543.99
Minimum13.08
Maximum80191.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:53.798170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.08
5-th percentile86.243
Q1284.6525
median658.15
Q31835.0175
95-th percentile12588.619
Maximum80191.16
Range80178.08
Interquartile range (IQR)1550.365

Descriptive statistics

Standard deviation5757.6572
Coefficient of variation (CV)2.2632389
Kurtosis36.736915
Mean2543.99
Median Absolute Deviation (MAD)476.415
Skewness5.0770817
Sum4813229.2
Variance33150616
MonotonicityNot monotonic
2023-12-12T15:26:53.962691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226.44 2
 
0.1%
391.72 2
 
0.1%
1052.45 2
 
0.1%
277.26 2
 
0.1%
145.33 2
 
0.1%
289.75 2
 
0.1%
799.51 1
 
0.1%
1140.91 1
 
0.1%
271.72 1
 
0.1%
675.86 1
 
0.1%
Other values (1876) 1876
99.2%
ValueCountFrequency (%)
13.08 1
0.1%
17.86 1
0.1%
18.28 1
0.1%
19.72 1
0.1%
22.45 1
0.1%
24.09 1
0.1%
25.72 1
0.1%
26.05 1
0.1%
26.68 1
0.1%
27.73 1
0.1%
ValueCountFrequency (%)
80191.16 1
0.1%
53968.0 1
0.1%
50863.16 1
0.1%
49028.28 1
0.1%
43066.53 1
0.1%
42867.21 1
0.1%
41315.16 1
0.1%
39728.91 1
0.1%
37518.28 1
0.1%
37430.02 1
0.1%

2020년 8월_일평균 관내이동 인구
Real number (ℝ)

Distinct1880
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2468.7082
Minimum12.52
Maximum84005.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:54.177043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.52
5-th percentile82.7975
Q1261.4125
median609.67
Q31694.855
95-th percentile12223.874
Maximum84005.94
Range83993.42
Interquartile range (IQR)1433.4425

Descriptive statistics

Standard deviation5764.0921
Coefficient of variation (CV)2.3348616
Kurtosis40.349125
Mean2468.7082
Median Absolute Deviation (MAD)441.4
Skewness5.2719716
Sum4670796
Variance33224758
MonotonicityNot monotonic
2023-12-12T15:26:54.339794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
571.99 2
 
0.1%
441.19 2
 
0.1%
803.67 2
 
0.1%
179.13 2
 
0.1%
424.22 2
 
0.1%
424.67 2
 
0.1%
285.31 2
 
0.1%
136.37 2
 
0.1%
1269.07 2
 
0.1%
224.91 2
 
0.1%
Other values (1870) 1872
98.9%
ValueCountFrequency (%)
12.52 1
0.1%
14.81 1
0.1%
16.06 1
0.1%
16.82 1
0.1%
17.35 1
0.1%
19.66 1
0.1%
20.35 1
0.1%
22.84 1
0.1%
26.95 1
0.1%
27.38 1
0.1%
ValueCountFrequency (%)
84005.94 1
0.1%
51038.99 1
0.1%
50611.69 1
0.1%
49645.43 1
0.1%
44882.39 1
0.1%
41912.57 1
0.1%
41144.29 1
0.1%
40380.75 1
0.1%
40273.34 1
0.1%
39535.65 1
0.1%

2020년 9월_일평균 관내이동 인구
Real number (ℝ)

Distinct1884
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2493.9808
Minimum7.58
Maximum93097.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:54.515206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.58
5-th percentile77.3625
Q1272.795
median613.82
Q31747.95
95-th percentile12856.963
Maximum93097.94
Range93090.36
Interquartile range (IQR)1475.155

Descriptive statistics

Standard deviation5863.8946
Coefficient of variation (CV)2.3512188
Kurtosis49.430707
Mean2493.9808
Median Absolute Deviation (MAD)446.63
Skewness5.633067
Sum4718611.7
Variance34385260
MonotonicityNot monotonic
2023-12-12T15:26:54.705225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
246.6 2
 
0.1%
241.6 2
 
0.1%
364.0 2
 
0.1%
161.92 2
 
0.1%
338.1 2
 
0.1%
681.61 2
 
0.1%
551.11 2
 
0.1%
294.86 2
 
0.1%
1722.13 1
 
0.1%
585.47 1
 
0.1%
Other values (1874) 1874
99.0%
ValueCountFrequency (%)
7.58 1
0.1%
11.43 1
0.1%
14.5 1
0.1%
17.34 1
0.1%
18.77 1
0.1%
20.08 1
0.1%
20.81 1
0.1%
22.86 1
0.1%
23.04 1
0.1%
23.73 1
0.1%
ValueCountFrequency (%)
93097.94 1
0.1%
61286.36 1
0.1%
50998.71 1
0.1%
47199.4 1
0.1%
45165.62 1
0.1%
42554.33 1
0.1%
38986.51 1
0.1%
37410.13 1
0.1%
36680.1 1
0.1%
36275.39 1
0.1%

2020년 10월_일평균 관내이동 인구
Real number (ℝ)

Distinct1884
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2541.0444
Minimum11.65
Maximum83468.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:54.898991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.65
5-th percentile79.433
Q1276.085
median634.265
Q31817.3075
95-th percentile12596.851
Maximum83468.39
Range83456.74
Interquartile range (IQR)1541.2225

Descriptive statistics

Standard deviation5892.2233
Coefficient of variation (CV)2.3188195
Kurtosis39.369131
Mean2541.0444
Median Absolute Deviation (MAD)461.615
Skewness5.2426638
Sum4807656
Variance34718295
MonotonicityNot monotonic
2023-12-12T15:26:55.074547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239.61 2
 
0.1%
188.72 2
 
0.1%
600.19 2
 
0.1%
123.05 2
 
0.1%
282.4 2
 
0.1%
102.45 2
 
0.1%
535.88 2
 
0.1%
693.69 2
 
0.1%
90.58 1
 
0.1%
955.72 1
 
0.1%
Other values (1874) 1874
99.0%
ValueCountFrequency (%)
11.65 1
0.1%
13.29 1
0.1%
16.84 1
0.1%
17.51 1
0.1%
19.31 1
0.1%
19.62 1
0.1%
20.66 1
0.1%
21.53 1
0.1%
21.89 1
0.1%
22.65 1
0.1%
ValueCountFrequency (%)
83468.39 1
0.1%
58981.87 1
0.1%
53330.13 1
0.1%
48498.73 1
0.1%
47297.74 1
0.1%
43272.67 1
0.1%
40002.1 1
0.1%
39085.48 1
0.1%
38788.15 1
0.1%
37915.13 1
0.1%

2020년 11월_일평균 관내이동 인구
Real number (ℝ)

Distinct1883
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2555.1811
Minimum10
Maximum84011.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:55.253957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile84.5355
Q1275.285
median638.74
Q31810.8225
95-th percentile12761.734
Maximum84011.62
Range84001.62
Interquartile range (IQR)1535.5375

Descriptive statistics

Standard deviation5968.845
Coefficient of variation (CV)2.3359773
Kurtosis39.482856
Mean2555.1811
Median Absolute Deviation (MAD)464.71
Skewness5.2836169
Sum4834402.7
Variance35627111
MonotonicityNot monotonic
2023-12-12T15:26:55.405196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163.77 2
 
0.1%
233.5 2
 
0.1%
1614.49 2
 
0.1%
403.2 2
 
0.1%
196.68 2
 
0.1%
136.11 2
 
0.1%
253.77 2
 
0.1%
343.13 2
 
0.1%
499.53 2
 
0.1%
1377.25 1
 
0.1%
Other values (1873) 1873
99.0%
ValueCountFrequency (%)
10.0 1
0.1%
14.09 1
0.1%
17.92 1
0.1%
18.1 1
0.1%
20.19 1
0.1%
21.39 1
0.1%
22.19 1
0.1%
22.51 1
0.1%
22.88 1
0.1%
24.8 1
0.1%
ValueCountFrequency (%)
84011.62 1
0.1%
59724.99 1
0.1%
53092.02 1
0.1%
51965.79 1
0.1%
46481.42 1
0.1%
44000.34 1
0.1%
42684.25 1
0.1%
40483.35 1
0.1%
40380.43 1
0.1%
38637.22 1
0.1%

2020년 12월_일평균 관내이동 인구
Real number (ℝ)

Distinct1884
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2372.5277
Minimum8.67
Maximum83013.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:55.581403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.67
5-th percentile71.2655
Q1239.7425
median567.355
Q31576.08
95-th percentile12572.873
Maximum83013.36
Range83004.69
Interquartile range (IQR)1336.3375

Descriptive statistics

Standard deviation5717.0879
Coefficient of variation (CV)2.4097033
Kurtosis42.237015
Mean2372.5277
Median Absolute Deviation (MAD)412.045
Skewness5.4234392
Sum4488822.5
Variance32685095
MonotonicityNot monotonic
2023-12-12T15:26:55.715509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
368.88 2
 
0.1%
851.67 2
 
0.1%
185.69 2
 
0.1%
135.06 2
 
0.1%
138.96 2
 
0.1%
85.69 2
 
0.1%
309.66 2
 
0.1%
327.42 2
 
0.1%
3787.09 1
 
0.1%
118.3 1
 
0.1%
Other values (1874) 1874
99.0%
ValueCountFrequency (%)
8.67 1
0.1%
10.42 1
0.1%
15.42 1
0.1%
16.16 1
0.1%
17.9 1
0.1%
18.86 1
0.1%
19.2 1
0.1%
20.56 1
0.1%
21.67 1
0.1%
22.46 1
0.1%
ValueCountFrequency (%)
83013.36 1
0.1%
58619.04 1
0.1%
51948.51 1
0.1%
44429.97 1
0.1%
44422.86 1
0.1%
43206.41 1
0.1%
42545.92 1
0.1%
40149.75 1
0.1%
38123.94 1
0.1%
37693.56 1
0.1%

주중_새벽(0시_6시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1799
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.98624
Minimum0.86
Maximum13291.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:55.851658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.86
5-th percentile7.0595
Q124.41
median56.6
Q3161.7575
95-th percentile2017.4845
Maximum13291.94
Range13291.08
Interquartile range (IQR)137.3475

Descriptive statistics

Standard deviation983.12208
Coefficient of variation (CV)2.7930697
Kurtosis43.30006
Mean351.98624
Median Absolute Deviation (MAD)41.405
Skewness5.6633502
Sum665957.96
Variance966529.02
MonotonicityNot monotonic
2023-12-12T15:26:55.988897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.45 3
 
0.2%
61.02 3
 
0.2%
26.42 3
 
0.2%
22.9 3
 
0.2%
50.98 3
 
0.2%
13.14 2
 
0.1%
14.26 2
 
0.1%
32.04 2
 
0.1%
34.38 2
 
0.1%
16.7 2
 
0.1%
Other values (1789) 1867
98.7%
ValueCountFrequency (%)
0.86 1
0.1%
0.91 1
0.1%
0.94 1
0.1%
1.12 1
0.1%
1.37 1
0.1%
1.38 1
0.1%
1.67 1
0.1%
1.69 1
0.1%
1.71 1
0.1%
1.79 1
0.1%
ValueCountFrequency (%)
13291.94 1
0.1%
10840.03 1
0.1%
9210.89 1
0.1%
8681.27 1
0.1%
8625.54 1
0.1%
7797.68 1
0.1%
7423.85 1
0.1%
7204.96 1
0.1%
6779.21 1
0.1%
6749.47 1
0.1%

주중_출근(7시_9시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1844
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.02131
Minimum1.42
Maximum7079.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:56.163440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.42
5-th percentile12.0345
Q143
median97.545
Q3261.7925
95-th percentile1387.897
Maximum7079.78
Range7078.36
Interquartile range (IQR)218.7925

Descriptive statistics

Standard deviation594.63206
Coefficient of variation (CV)1.9885942
Kurtosis28.398236
Mean299.02131
Median Absolute Deviation (MAD)70.53
Skewness4.5717997
Sum565748.32
Variance353587.28
MonotonicityNot monotonic
2023-12-12T15:26:56.308698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.91 3
 
0.2%
44.55 2
 
0.1%
86.13 2
 
0.1%
29.53 2
 
0.1%
57.9 2
 
0.1%
106.29 2
 
0.1%
19.31 2
 
0.1%
8.5 2
 
0.1%
26.18 2
 
0.1%
19.34 2
 
0.1%
Other values (1834) 1871
98.9%
ValueCountFrequency (%)
1.42 1
0.1%
1.58 1
0.1%
2.63 1
0.1%
3.02 1
0.1%
3.17 1
0.1%
3.21 1
0.1%
3.35 1
0.1%
3.6 1
0.1%
3.64 1
0.1%
3.78 1
0.1%
ValueCountFrequency (%)
7079.78 1
0.1%
6044.32 1
0.1%
5117.47 1
0.1%
5103.11 1
0.1%
4397.83 1
0.1%
4264.4 1
0.1%
4185.65 1
0.1%
4084.51 1
0.1%
3952.73 1
0.1%
3932.51 1
0.1%

주중_주간(10시_17시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1874
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1137.4938
Minimum8.19
Maximum27075.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:56.447515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.19
5-th percentile51.0845
Q1167.945
median388.73
Q31037.4275
95-th percentile5174.039
Maximum27075.84
Range27067.65
Interquartile range (IQR)869.4825

Descriptive statistics

Standard deviation2182.1238
Coefficient of variation (CV)1.9183611
Kurtosis27.02897
Mean1137.4938
Median Absolute Deviation (MAD)278.89
Skewness4.4235421
Sum2152138.2
Variance4761664.1
MonotonicityNot monotonic
2023-12-12T15:26:56.594607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.88 2
 
0.1%
131.63 2
 
0.1%
359.08 2
 
0.1%
116.23 2
 
0.1%
74.63 2
 
0.1%
170.27 2
 
0.1%
76.96 2
 
0.1%
132.37 2
 
0.1%
404.12 2
 
0.1%
104.45 2
 
0.1%
Other values (1864) 1872
98.9%
ValueCountFrequency (%)
8.19 1
0.1%
8.7 1
0.1%
9.32 1
0.1%
10.76 1
0.1%
11.84 1
0.1%
15.15 1
0.1%
15.38 1
0.1%
15.9 1
0.1%
16.73 1
0.1%
16.91 1
0.1%
ValueCountFrequency (%)
27075.84 1
0.1%
20671.22 1
0.1%
17660.73 1
0.1%
16649.63 1
0.1%
16449.1 1
0.1%
15620.47 1
0.1%
14417.39 1
0.1%
14162.41 1
0.1%
14060.39 1
0.1%
13290.14 1
0.1%

주중_퇴근(18시_20시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1797
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.51684
Minimum0.72
Maximum11295.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:56.739429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.72
5-th percentile9.0695
Q129.1675
median67.645
Q3203.0175
95-th percentile1585.7905
Maximum11295.59
Range11294.87
Interquartile range (IQR)173.85

Descriptive statistics

Standard deviation758.91326
Coefficient of variation (CV)2.4283916
Kurtosis41.992369
Mean312.51684
Median Absolute Deviation (MAD)49.06
Skewness5.3479179
Sum591281.86
Variance575949.34
MonotonicityNot monotonic
2023-12-12T15:26:57.237557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.0 3
 
0.2%
19.33 3
 
0.2%
38.3 3
 
0.2%
50.57 3
 
0.2%
14.65 3
 
0.2%
6.91 3
 
0.2%
28.41 3
 
0.2%
21.46 2
 
0.1%
41.03 2
 
0.1%
67.44 2
 
0.1%
Other values (1787) 1865
98.6%
ValueCountFrequency (%)
0.72 1
0.1%
1.55 1
0.1%
1.6 1
0.1%
1.66 1
0.1%
2.19 1
0.1%
2.51 1
0.1%
2.54 1
0.1%
2.84 1
0.1%
3.17 1
0.1%
3.26 1
0.1%
ValueCountFrequency (%)
11295.59 1
0.1%
7473.94 1
0.1%
6104.6 1
0.1%
6006.25 1
0.1%
5729.56 1
0.1%
5683.78 1
0.1%
5285.5 1
0.1%
4826.7 1
0.1%
4749.22 1
0.1%
4722.19 1
0.1%

주중_야간(21시_23시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1809
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499.29353
Minimum0.83
Maximum21883.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:57.423400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.83
5-th percentile9.1995
Q129.595
median71.995
Q3227.715
95-th percentile2842.847
Maximum21883.79
Range21882.96
Interquartile range (IQR)198.12

Descriptive statistics

Standard deviation1397.5678
Coefficient of variation (CV)2.7990906
Kurtosis49.314579
Mean499.29353
Median Absolute Deviation (MAD)53.515
Skewness5.7695581
Sum944663.35
Variance1953195.8
MonotonicityNot monotonic
2023-12-12T15:26:57.587056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.31 3
 
0.2%
18.21 3
 
0.2%
51.69 3
 
0.2%
25.07 3
 
0.2%
52.17 2
 
0.1%
14.11 2
 
0.1%
34.05 2
 
0.1%
18.98 2
 
0.1%
54.25 2
 
0.1%
74.92 2
 
0.1%
Other values (1799) 1868
98.7%
ValueCountFrequency (%)
0.83 1
0.1%
1.59 1
0.1%
1.85 1
0.1%
1.87 1
0.1%
2.09 1
0.1%
2.19 1
0.1%
2.5 1
0.1%
2.8 1
0.1%
3.09 1
0.1%
3.1 1
0.1%
ValueCountFrequency (%)
21883.79 1
0.1%
13945.4 1
0.1%
11913.52 1
0.1%
11562.11 1
0.1%
10886.11 1
0.1%
10513.73 1
0.1%
9499.4 1
0.1%
9416.51 1
0.1%
8702.95 1
0.1%
8591.24 1
0.1%

주말_첨두시(11시_19시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1868
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1158.7416
Minimum2.26
Maximum45511.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:57.773636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.26
5-th percentile28.3815
Q190.9475
median210.595
Q3596.215
95-th percentile6515.4645
Maximum45511.39
Range45509.13
Interquartile range (IQR)505.2675

Descriptive statistics

Standard deviation3080.9422
Coefficient of variation (CV)2.6588691
Kurtosis44.830794
Mean1158.7416
Median Absolute Deviation (MAD)151.96
Skewness5.605353
Sum2192339.1
Variance9492205.1
MonotonicityNot monotonic
2023-12-12T15:26:57.959243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.52 2
 
0.1%
88.5 2
 
0.1%
52.71 2
 
0.1%
92.13 2
 
0.1%
144.58 2
 
0.1%
105.04 2
 
0.1%
48.04 2
 
0.1%
63.27 2
 
0.1%
189.06 2
 
0.1%
254.41 2
 
0.1%
Other values (1858) 1872
98.9%
ValueCountFrequency (%)
2.26 1
0.1%
2.36 1
0.1%
4.55 1
0.1%
5.7 1
0.1%
5.88 1
0.1%
6.43 1
0.1%
6.75 1
0.1%
7.77 1
0.1%
8.51 1
0.1%
9.97 1
0.1%
ValueCountFrequency (%)
45511.39 1
0.1%
29696.06 1
0.1%
29094.47 1
0.1%
26585.7 1
0.1%
23882.88 1
0.1%
23655.78 1
0.1%
23371.79 1
0.1%
21507.02 1
0.1%
20260.12 1
0.1%
20249.39 1
0.1%

주말_비첨두시(20시_10시)_일평균 관내이동 인구
Real number (ℝ)

Distinct1876
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1175.8274
Minimum3.59
Maximum39950.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.8 KiB
2023-12-12T15:26:58.133050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.59
5-th percentile38.8575
Q1123.1825
median288.62
Q3869.7775
95-th percentile5928.4175
Maximum39950.66
Range39947.07
Interquartile range (IQR)746.595

Descriptive statistics

Standard deviation2737.9347
Coefficient of variation (CV)2.3285175
Kurtosis40.937856
Mean1175.8274
Median Absolute Deviation (MAD)208.445
Skewness5.3053165
Sum2224665.4
Variance7496286.6
MonotonicityNot monotonic
2023-12-12T15:26:58.312996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260.84 2
 
0.1%
106.21 2
 
0.1%
71.23 2
 
0.1%
33.31 2
 
0.1%
59.62 2
 
0.1%
152.67 2
 
0.1%
41.71 2
 
0.1%
95.63 2
 
0.1%
27.73 2
 
0.1%
165.43 2
 
0.1%
Other values (1866) 1872
98.9%
ValueCountFrequency (%)
3.59 1
0.1%
4.34 1
0.1%
7.21 1
0.1%
7.4 1
0.1%
7.83 1
0.1%
8.79 1
0.1%
10.07 1
0.1%
10.67 1
0.1%
12.46 1
0.1%
12.62 1
0.1%
ValueCountFrequency (%)
39950.66 1
0.1%
27434.1 1
0.1%
23580.72 1
0.1%
22137.71 1
0.1%
20479.28 1
0.1%
20347.67 1
0.1%
18925.14 1
0.1%
18284.16 1
0.1%
17186.5 1
0.1%
17022.82 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
Minimum2021-11-30 00:00:00
Maximum2021-11-30 00:00:00
2023-12-12T15:26:58.472779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:26:58.631797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

인구이동_기점인구이동_종점0세_19세 일평균 관내이동 인구20세_39세 일평균 관내이동 인구40세_64세 일평균 관내이동 인구65세 이상 일평균 관내이동 인구남성_일평균 관내이동 인구여성_일평균 관내이동 인구2020년 1월_일평균 관내이동 인구2020년 2월_일평균 관내이동 인구2020년 3월_일평균 관내이동 인구2020년 4월_일평균 관내이동 인구2020년 5월_일평균 관내이동 인구2020년 6월_일평균 관내이동 인구2020년 7월_일평균 관내이동 인구2020년 8월_일평균 관내이동 인구2020년 9월_일평균 관내이동 인구2020년 10월_일평균 관내이동 인구2020년 11월_일평균 관내이동 인구2020년 12월_일평균 관내이동 인구주중_새벽(0시_6시)_일평균 관내이동 인구주중_출근(7시_9시)_일평균 관내이동 인구주중_주간(10시_17시)_일평균 관내이동 인구주중_퇴근(18시_20시)_일평균 관내이동 인구주중_야간(21시_23시)_일평균 관내이동 인구주말_첨두시(11시_19시)_일평균 관내이동 인구주말_비첨두시(20시_10시)_일평균 관내이동 인구데이터기준일자
0고등동곡선동11.01100.5136.4714.8111.25151.53205.09214.38179.47195.92354.99345.71355.99242.64296.85267.1289.48205.1234.4844.55151.7727.0127.35160.49163.022021-11-30
1고등동광교1동5.62108.76212.2835.22211.08150.8378.08406.37401.85456.42353.43360.45339.83292.85314.41371.48368.82303.1336.2664.87235.1538.0935.7493.45109.02021-11-30
2고등동광교2동4.7331.6537.0116.3852.9736.8106.3585.5282.22124.18104.34113.0677.3158.34112.2790.6666.7856.7410.3919.4162.586.126.624.3949.292021-11-30
3고등동구운동18.4159.72281.8328.03260.62227.36609.4484.06538.39579.0456.57338.8380.81556.25506.26447.92480.47475.9544.7962.34266.3954.574.1380.85529.452021-11-30
4고등동권선1동32.42167.53293.4965.55242.33316.65445.57440.53549.09614.31506.13577.96577.83556.25511.33646.42716.54554.450.8386.21328.6162.7370.95203.71329.012021-11-30
5고등동권선2동3.144.5897.6312.2286.3971.15152.44132.4125.44172.03151.31178.49158.62162.16168.99179.7166.78142.3311.5922.1994.5819.5917.0688.88155.112021-11-30
6고등동금곡동46.95191.24355.9937.03362.95268.25751.68537.03555.5608.97668.88700.06737.2548.36526.92632.45616.19682.8587.8486.57310.4367.56104.61129.331374.72021-11-30
7고등동망포1동0.6874.05100.3346.4282.9138.57197.89129.53134.76156.16129.06235.54273.7236.96241.6306.68293.05318.1123.9244.4138.0122.8423.1499.0142.912021-11-30
8고등동망포2동0.1427.120.5511.6228.0531.3751.2530.9554.642.1453.3965.2461.464.5170.4868.8676.3771.647.7510.3135.185.657.1625.9454.312021-11-30
9고등동매교동11.86171.28309.1781.13275.02298.42537.86451.88536.68543.34546.97566.8567.6628.69600.25666.42662.9566.658.5376.14294.5671.55107.06214.94239.662021-11-30
인구이동_기점인구이동_종점0세_19세 일평균 관내이동 인구20세_39세 일평균 관내이동 인구40세_64세 일평균 관내이동 인구65세 이상 일평균 관내이동 인구남성_일평균 관내이동 인구여성_일평균 관내이동 인구2020년 1월_일평균 관내이동 인구2020년 2월_일평균 관내이동 인구2020년 3월_일평균 관내이동 인구2020년 4월_일평균 관내이동 인구2020년 5월_일평균 관내이동 인구2020년 6월_일평균 관내이동 인구2020년 7월_일평균 관내이동 인구2020년 8월_일평균 관내이동 인구2020년 9월_일평균 관내이동 인구2020년 10월_일평균 관내이동 인구2020년 11월_일평균 관내이동 인구2020년 12월_일평균 관내이동 인구주중_새벽(0시_6시)_일평균 관내이동 인구주중_출근(7시_9시)_일평균 관내이동 인구주중_주간(10시_17시)_일평균 관내이동 인구주중_퇴근(18시_20시)_일평균 관내이동 인구주중_야간(21시_23시)_일평균 관내이동 인구주말_첨두시(11시_19시)_일평균 관내이동 인구주말_비첨두시(20시_10시)_일평균 관내이동 인구데이터기준일자
1882화서2동정자2동2069.852471.566066.5961.526400.535168.9111432.0711369.3511930.1312191.7111069.9911343.2111402.7611173.7711257.8112582.8212241.8210849.32000.111309.454490.571387.812518.737451.896384.972021-11-30
1883화서2동정자3동3795.433264.36403.78864.727758.956569.2714922.3414535.5113774.0614725.4215215.5214789.7114265.0113251.5713467.4314469.7216154.9512439.611850.231426.676142.111999.383089.654892.74696.872021-11-30
1884화서2동조원1동1255.852673.214405.9610.554769.534175.999106.379430.349593.889731.688926.738798.427753.679948.18800.148346.698000.858926.042072.521002.882982.9914.761828.115060.344431.152021-11-30
1885화서2동조원2동33.81178.24338.9418.17356.73212.43771.57617.98576.04585.45632.35586.15533.02561.76503.2529.57500.51432.2328.7660.17345.1773.7370.6947.0366.82021-11-30
1886화서2동지동39.93180.17347.43111.02404.37274.19783.26800.15617.15699.04652.71716.31595.88565.94631.78748.07728.87613.3455.6144.85439.6862.7366.8896.85107.542021-11-30
1887화서2동파장동237.41523.931054.1891.99936.95970.552036.581861.111721.051694.231970.672040.742057.531847.221861.612103.812139.831556.11117.13356.721216.12209.82213.39383.81610.922021-11-30
1888화서2동평동168.11026.581622.94170.791397.431590.982729.042904.943204.393159.052875.783373.132923.473015.523065.253043.372815.522760.87310.9574.621900.38296.0300.75427.54589.692021-11-30
1889화서2동행궁동228.7662.231185.07309.161406.58978.582443.02229.222052.422295.02606.032607.842662.852122.832527.082784.362484.781808.51106.47354.811588.06277.38248.31180.15245.092021-11-30
1890화서2동호매실동29.45115.99287.9727.81245.27215.95457.16436.81379.77424.46422.23449.04599.61512.79440.99540.56553.45316.8730.4859.59296.8658.8948.39163.67200.82021-11-30
1891화서2동화서1동2867.675662.9911824.382997.9112990.8310362.1124169.9423093.9823741.9124407.523700.4523535.7323546.3922692.523760.1522019.4622741.0722842.823937.092332.148582.612932.015549.9213882.5612890.292021-11-30