Overview

Dataset statistics

Number of variables28
Number of observations2376
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory577.9 KiB
Average record size in memory249.1 B

Variable types

Categorical2
Text1
Numeric25

Dataset

Description경기도 수원시의 생활이동인구 데이터로 관내에서 관외로 유출된 데이터로 성별, 연령별, 시간대별 데이터를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15096345/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-13 00:49:12.217436
Analysis finished2023-12-13 00:49:12.660453
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct44
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
고등동
 
54
곡선동
 
54
매교동
 
54
광교1동
 
54
광교2동
 
54
Other values (39)
2106 

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 54
 
2.3%
곡선동 54
 
2.3%
매교동 54
 
2.3%
광교1동 54
 
2.3%
광교2동 54
 
2.3%
구운동 54
 
2.3%
권선1동 54
 
2.3%
권선2동 54
 
2.3%
금곡동 54
 
2.3%
망포1동 54
 
2.3%
Other values (34) 1836
77.3%

Length

2023-12-13T09:49:12.726111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고등동 54
 
2.3%
곡선동 54
 
2.3%
정자1동 54
 
2.3%
영통3동 54
 
2.3%
영화동 54
 
2.3%
우만1동 54
 
2.3%
우만2동 54
 
2.3%
원천동 54
 
2.3%
율천동 54
 
2.3%
인계동 54
 
2.3%
Other values (34) 1836
77.3%
Distinct54
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2023-12-13T09:49:12.915991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.5740741
Min length3

Characters and Unicode

Total characters10868
Distinct characters70
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row강원도
3rd row경상남도
4th row경상북도
5th row고양시 덕양구
ValueCountFrequency (%)
고양시 132
 
4.5%
성남시 132
 
4.5%
용인시 132
 
4.5%
안양시 88
 
3.0%
안산시 88
 
3.0%
가평군 44
 
1.5%
처인구 44
 
1.5%
동안구 44
 
1.5%
만안구 44
 
1.5%
양주시 44
 
1.5%
Other values (49) 2156
73.1%
2023-12-13T09:49:13.200940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1936
 
17.8%
660
 
6.1%
572
 
5.3%
396
 
3.6%
396
 
3.6%
352
 
3.2%
352
 
3.2%
308
 
2.8%
308
 
2.8%
308
 
2.8%
Other values (60) 5280
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10296
94.7%
Space Separator 572
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
Space Separator
ValueCountFrequency (%)
572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10296
94.7%
Common 572
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
Common
ValueCountFrequency (%)
572
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10296
94.7%
ASCII 572
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1936
 
18.8%
660
 
6.4%
396
 
3.8%
396
 
3.8%
352
 
3.4%
352
 
3.4%
308
 
3.0%
308
 
3.0%
308
 
3.0%
308
 
3.0%
Other values (59) 4972
48.3%
ASCII
ValueCountFrequency (%)
572
100.0%
Distinct2054
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.590673
Minimum0
Maximum6604.27
Zeros8
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:13.315052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0475
Q18.15
median25.18
Q366.2875
95-th percentile293.925
Maximum6604.27
Range6604.27
Interquartile range (IQR)58.1375

Descriptive statistics

Standard deviation274.82383
Coefficient of variation (CV)3.4529652
Kurtosis273.20856
Mean79.590673
Median Absolute Deviation (MAD)20.78
Skewness14.385752
Sum189107.44
Variance75528.136
MonotonicityNot monotonic
2023-12-13T09:49:13.425607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
0.3%
13.67 4
 
0.2%
0.49 4
 
0.2%
12.29 4
 
0.2%
2.79 4
 
0.2%
2.37 4
 
0.2%
0.67 4
 
0.2%
17.83 3
 
0.1%
10.88 3
 
0.1%
2.88 3
 
0.1%
Other values (2044) 2335
98.3%
ValueCountFrequency (%)
0.0 8
0.3%
0.02 1
 
< 0.1%
0.04 2
 
0.1%
0.05 3
 
0.1%
0.07 2
 
0.1%
0.08 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 2
 
0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
ValueCountFrequency (%)
6604.27 1
< 0.1%
5771.31 1
< 0.1%
4952.49 1
< 0.1%
3217.16 1
< 0.1%
3075.68 1
< 0.1%
2464.38 1
< 0.1%
2233.28 1
< 0.1%
2159.4 1
< 0.1%
2083.28 1
< 0.1%
1899.21 1
< 0.1%
Distinct2332
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.02136
Minimum0.8
Maximum22329.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:13.533316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile21.8975
Q180.485
median199.84
Q3489.7275
95-th percentile2008.6925
Maximum22329.07
Range22328.27
Interquartile range (IQR)409.2425

Descriptive statistics

Standard deviation1642.1823
Coefficient of variation (CV)2.6701223
Kurtosis57.641962
Mean615.02136
Median Absolute Deviation (MAD)147.91
Skewness6.8135988
Sum1461290.8
Variance2696762.6
MonotonicityNot monotonic
2023-12-13T09:49:13.631034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.28 2
 
0.1%
116.43 2
 
0.1%
106.12 2
 
0.1%
25.38 2
 
0.1%
216.48 2
 
0.1%
31.71 2
 
0.1%
185.58 2
 
0.1%
133.56 2
 
0.1%
193.45 2
 
0.1%
44.43 2
 
0.1%
Other values (2322) 2356
99.2%
ValueCountFrequency (%)
0.8 1
< 0.1%
1.07 1
< 0.1%
2.64 1
< 0.1%
2.8 1
< 0.1%
2.85 1
< 0.1%
3.14 1
< 0.1%
3.5 1
< 0.1%
4.72 1
< 0.1%
4.73 1
< 0.1%
5.1 1
< 0.1%
ValueCountFrequency (%)
22329.07 1
< 0.1%
21584.31 1
< 0.1%
17788.91 1
< 0.1%
15713.42 1
< 0.1%
15260.49 1
< 0.1%
15036.91 1
< 0.1%
14791.27 1
< 0.1%
14623.48 1
< 0.1%
14451.69 1
< 0.1%
14298.13 1
< 0.1%
Distinct2333
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.45921
Minimum3.42
Maximum29702.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:13.726174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42
5-th percentile27.5625
Q196.55
median235.01
Q3623.59
95-th percentile2482.8725
Maximum29702.23
Range29698.81
Interquartile range (IQR)527.04

Descriptive statistics

Standard deviation1872.8264
Coefficient of variation (CV)2.5639028
Kurtosis80.574492
Mean730.45921
Median Absolute Deviation (MAD)177.105
Skewness7.6306769
Sum1735571.1
Variance3507478.8
MonotonicityNot monotonic
2023-12-13T09:49:13.826778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235.01 3
 
0.1%
64.33 3
 
0.1%
439.79 2
 
0.1%
44.5 2
 
0.1%
23.26 2
 
0.1%
181.03 2
 
0.1%
454.08 2
 
0.1%
69.43 2
 
0.1%
164.48 2
 
0.1%
532.19 2
 
0.1%
Other values (2323) 2354
99.1%
ValueCountFrequency (%)
3.42 1
< 0.1%
6.06 1
< 0.1%
6.79 1
< 0.1%
7.39 1
< 0.1%
7.85 1
< 0.1%
8.41 1
< 0.1%
8.62 1
< 0.1%
8.68 1
< 0.1%
8.87 1
< 0.1%
9.42 1
< 0.1%
ValueCountFrequency (%)
29702.23 1
< 0.1%
29156.59 1
< 0.1%
24448.85 1
< 0.1%
20688.76 1
< 0.1%
20661.03 1
< 0.1%
14784.43 1
< 0.1%
14607.77 1
< 0.1%
13913.25 1
< 0.1%
13721.17 1
< 0.1%
13693.57 1
< 0.1%
Distinct2039
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.202138
Minimum0.03
Maximum3892.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:13.934888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile1.7
Q18.1675
median23.32
Q364.42
95-th percentile259.9825
Maximum3892.15
Range3892.12
Interquartile range (IQR)56.2525

Descriptive statistics

Standard deviation199.70494
Coefficient of variation (CV)2.6555753
Kurtosis133.34532
Mean75.202138
Median Absolute Deviation (MAD)18.82
Skewness9.4168636
Sum178680.28
Variance39882.063
MonotonicityNot monotonic
2023-12-13T09:49:14.049066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.67 6
 
0.3%
1.65 4
 
0.2%
9.78 4
 
0.2%
5.37 4
 
0.2%
10.07 4
 
0.2%
4.66 4
 
0.2%
3.3 4
 
0.2%
8.28 3
 
0.1%
12.04 3
 
0.1%
7.37 3
 
0.1%
Other values (2029) 2337
98.4%
ValueCountFrequency (%)
0.03 1
< 0.1%
0.08 1
< 0.1%
0.09 1
< 0.1%
0.1 1
< 0.1%
0.14 1
< 0.1%
0.16 2
0.1%
0.17 1
< 0.1%
0.18 1
< 0.1%
0.21 1
< 0.1%
0.23 1
< 0.1%
ValueCountFrequency (%)
3892.15 1
< 0.1%
3741.4 1
< 0.1%
2662.3 1
< 0.1%
2341.32 1
< 0.1%
1744.77 1
< 0.1%
1692.54 1
< 0.1%
1508.68 1
< 0.1%
1479.06 1
< 0.1%
1295.62 1
< 0.1%
1288.52 1
< 0.1%
Distinct2338
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean604.98724
Minimum2.79
Maximum27304.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:14.166112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.79
5-th percentile22.4825
Q178.6075
median188.725
Q3505.735
95-th percentile2011.785
Maximum27304.27
Range27301.48
Interquartile range (IQR)427.1275

Descriptive statistics

Standard deviation1654.2373
Coefficient of variation (CV)2.7343343
Kurtosis95.473462
Mean604.98724
Median Absolute Deviation (MAD)139.585
Skewness8.3393006
Sum1437449.7
Variance2736501.2
MonotonicityNot monotonic
2023-12-13T09:49:14.263461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.08 2
 
0.1%
88.73 2
 
0.1%
41.71 2
 
0.1%
44.14 2
 
0.1%
130.96 2
 
0.1%
49.32 2
 
0.1%
217.78 2
 
0.1%
37.92 2
 
0.1%
83.57 2
 
0.1%
49.95 2
 
0.1%
Other values (2328) 2356
99.2%
ValueCountFrequency (%)
2.79 1
< 0.1%
3.06 1
< 0.1%
3.56 1
< 0.1%
4.21 1
< 0.1%
4.27 1
< 0.1%
4.79 1
< 0.1%
5.36 1
< 0.1%
5.38 1
< 0.1%
5.63 1
< 0.1%
5.77 1
< 0.1%
ValueCountFrequency (%)
27304.27 1
< 0.1%
26476.48 1
< 0.1%
22587.32 1
< 0.1%
22250.26 1
< 0.1%
14364.67 1
< 0.1%
14047.03 1
< 0.1%
13856.33 1
< 0.1%
13826.88 1
< 0.1%
13267.21 1
< 0.1%
13189.95 1
< 0.1%
Distinct2349
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean895.28588
Minimum5.6
Maximum32703.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:14.359596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile35.2325
Q1123.6325
median296.315
Q3760.8525
95-th percentile3035.17
Maximum32703.2
Range32697.6
Interquartile range (IQR)637.22

Descriptive statistics

Standard deviation2226.7785
Coefficient of variation (CV)2.4872262
Kurtosis59.384381
Mean895.28588
Median Absolute Deviation (MAD)219.415
Skewness6.7348415
Sum2127199.2
Variance4958542.4
MonotonicityNot monotonic
2023-12-13T09:49:14.469978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.14 2
 
0.1%
43.3 2
 
0.1%
294.17 2
 
0.1%
41.01 2
 
0.1%
1157.19 2
 
0.1%
24.2 2
 
0.1%
236.35 2
 
0.1%
22.03 2
 
0.1%
105.21 2
 
0.1%
132.68 2
 
0.1%
Other values (2339) 2356
99.2%
ValueCountFrequency (%)
5.6 1
< 0.1%
7.66 1
< 0.1%
9.8 1
< 0.1%
10.08 1
< 0.1%
11.11 1
< 0.1%
12.14 1
< 0.1%
12.51 1
< 0.1%
12.68 1
< 0.1%
13.86 1
< 0.1%
13.87 1
< 0.1%
ValueCountFrequency (%)
32703.2 1
< 0.1%
28129.33 1
< 0.1%
27376.58 1
< 0.1%
23914.72 1
< 0.1%
19819.22 1
< 0.1%
19341.87 1
< 0.1%
18912.8 1
< 0.1%
18912.65 1
< 0.1%
17942.07 1
< 0.1%
16962.95 1
< 0.1%
Distinct2360
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1748.058
Minimum7.31
Maximum62147.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:14.578141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.31
5-th percentile65.706
Q1234.665
median613.56
Q31546.44
95-th percentile5844.822
Maximum62147.17
Range62139.86
Interquartile range (IQR)1311.775

Descriptive statistics

Standard deviation4221.1251
Coefficient of variation (CV)2.4147512
Kurtosis66.579068
Mean1748.058
Median Absolute Deviation (MAD)464.19
Skewness7.0431849
Sum4151637.7
Variance17817897
MonotonicityNot monotonic
2023-12-13T09:49:14.698240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.25 2
 
0.1%
184.83 2
 
0.1%
97.48 2
 
0.1%
266.47 2
 
0.1%
133.71 2
 
0.1%
161.54 2
 
0.1%
854.93 2
 
0.1%
605.74 2
 
0.1%
74.85 2
 
0.1%
613.56 2
 
0.1%
Other values (2350) 2355
99.1%
ValueCountFrequency (%)
7.31 1
< 0.1%
7.51 1
< 0.1%
9.89 1
< 0.1%
10.67 1
< 0.1%
12.74 1
< 0.1%
13.52 1
< 0.1%
13.97 1
< 0.1%
16.27 1
< 0.1%
16.44 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
62147.17 1
< 0.1%
59888.01 1
< 0.1%
50348.28 1
< 0.1%
46599.38 1
< 0.1%
41437.55 1
< 0.1%
40903.86 1
< 0.1%
39611.77 1
< 0.1%
36454.67 1
< 0.1%
35380.4 1
< 0.1%
35086.49 1
< 0.1%
Distinct2360
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1441.5371
Minimum5.82
Maximum58544.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:14.809304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.82
5-th percentile42.382
Q1172.885
median436.38
Q31120.145
95-th percentile4792.061
Maximum58544.09
Range58538.27
Interquartile range (IQR)947.26

Descriptive statistics

Standard deviation3906.9933
Coefficient of variation (CV)2.7102968
Kurtosis65.0665
Mean1441.5371
Median Absolute Deviation (MAD)334.85
Skewness7.0793355
Sum3423650.6
Variance15264596
MonotonicityNot monotonic
2023-12-13T09:49:14.910511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295.91 2
 
0.1%
520.33 2
 
0.1%
22.16 2
 
0.1%
345.06 2
 
0.1%
780.02 2
 
0.1%
367.01 2
 
0.1%
159.48 2
 
0.1%
334.7 2
 
0.1%
103.64 2
 
0.1%
60.48 2
 
0.1%
Other values (2350) 2355
99.1%
ValueCountFrequency (%)
5.82 1
< 0.1%
6.31 1
< 0.1%
6.62 1
< 0.1%
6.64 1
< 0.1%
6.66 1
< 0.1%
8.3 1
< 0.1%
8.67 1
< 0.1%
9.88 1
< 0.1%
11.2 1
< 0.1%
11.32 1
< 0.1%
ValueCountFrequency (%)
58544.09 1
< 0.1%
50549.87 1
< 0.1%
46548.91 1
< 0.1%
41650.07 1
< 0.1%
40340.32 1
< 0.1%
39997.01 1
< 0.1%
35874.38 1
< 0.1%
33557.66 1
< 0.1%
31199.8 1
< 0.1%
29338.77 1
< 0.1%
Distinct2348
Distinct (%)98.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1371.8304
Minimum3.29
Maximum61629.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:15.246780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.29
5-th percentile39.322
Q1164.24
median405.91
Q31079.37
95-th percentile4526.497
Maximum61629.28
Range61625.99
Interquartile range (IQR)915.13

Descriptive statistics

Standard deviation3766.462
Coefficient of variation (CV)2.7455741
Kurtosis74.594603
Mean1371.8304
Median Absolute Deviation (MAD)307.77
Skewness7.4491143
Sum3258097.1
Variance14186236
MonotonicityNot monotonic
2023-12-13T09:49:15.348744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465.23 3
 
0.1%
92.9 2
 
0.1%
26.65 2
 
0.1%
252.57 2
 
0.1%
78.48 2
 
0.1%
81.68 2
 
0.1%
33.77 2
 
0.1%
397.31 2
 
0.1%
587.2 2
 
0.1%
32.58 2
 
0.1%
Other values (2338) 2354
99.1%
ValueCountFrequency (%)
3.29 1
< 0.1%
6.69 1
< 0.1%
7.28 1
< 0.1%
7.31 1
< 0.1%
8.02 1
< 0.1%
8.88 1
< 0.1%
9.61 1
< 0.1%
9.65 1
< 0.1%
9.67 1
< 0.1%
10.98 1
< 0.1%
ValueCountFrequency (%)
61629.28 1
< 0.1%
51462.25 1
< 0.1%
45153.34 1
< 0.1%
41787.97 1
< 0.1%
40502.73 1
< 0.1%
35384.59 1
< 0.1%
31075.16 1
< 0.1%
29784.58 1
< 0.1%
29370.94 1
< 0.1%
28842.19 1
< 0.1%
Distinct2357
Distinct (%)99.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1466.3663
Minimum5.63
Maximum68448.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:15.449848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.63
5-th percentile45.594
Q1181.39
median461.31
Q31157.14
95-th percentile4774.363
Maximum68448.34
Range68442.71
Interquartile range (IQR)975.75

Descriptive statistics

Standard deviation4000.3706
Coefficient of variation (CV)2.7280842
Kurtosis79.218484
Mean1466.3663
Median Absolute Deviation (MAD)350.12
Skewness7.6174928
Sum3482619.9
Variance16002965
MonotonicityNot monotonic
2023-12-13T09:49:15.558417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1093.64 2
 
0.1%
95.59 2
 
0.1%
79.2 2
 
0.1%
30.69 2
 
0.1%
75.0 2
 
0.1%
1818.84 2
 
0.1%
56.39 2
 
0.1%
574.16 2
 
0.1%
298.87 2
 
0.1%
335.78 2
 
0.1%
Other values (2347) 2355
99.1%
ValueCountFrequency (%)
5.63 1
< 0.1%
6.22 1
< 0.1%
8.36 1
< 0.1%
8.64 1
< 0.1%
8.81 1
< 0.1%
8.99 1
< 0.1%
9.93 1
< 0.1%
12.37 1
< 0.1%
12.76 1
< 0.1%
14.26 1
< 0.1%
ValueCountFrequency (%)
68448.34 1
< 0.1%
53515.02 1
< 0.1%
50322.72 1
< 0.1%
42749.6 1
< 0.1%
42565.67 1
< 0.1%
34418.97 1
< 0.1%
32806.45 1
< 0.1%
32450.41 1
< 0.1%
31278.81 1
< 0.1%
30789.37 1
< 0.1%
Distinct2363
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1515.8416
Minimum5.51
Maximum54963.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:15.657444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.51
5-th percentile53.2425
Q1203.1975
median512.22
Q31315.215
95-th percentile5107.0125
Maximum54963.81
Range54958.3
Interquartile range (IQR)1112.0175

Descriptive statistics

Standard deviation3780.6449
Coefficient of variation (CV)2.4940896
Kurtosis62.003675
Mean1515.8416
Median Absolute Deviation (MAD)381.555
Skewness6.8830316
Sum3601639.7
Variance14293276
MonotonicityNot monotonic
2023-12-13T09:49:15.752593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
564.96 2
 
0.1%
198.4 2
 
0.1%
441.64 2
 
0.1%
112.63 2
 
0.1%
125.92 2
 
0.1%
164.17 2
 
0.1%
125.89 2
 
0.1%
65.76 2
 
0.1%
345.66 2
 
0.1%
103.08 2
 
0.1%
Other values (2353) 2356
99.2%
ValueCountFrequency (%)
5.51 1
< 0.1%
7.59 1
< 0.1%
9.92 1
< 0.1%
10.36 1
< 0.1%
10.42 1
< 0.1%
10.43 1
< 0.1%
10.46 1
< 0.1%
10.57 1
< 0.1%
11.44 1
< 0.1%
11.89 1
< 0.1%
ValueCountFrequency (%)
54963.81 1
< 0.1%
48606.59 1
< 0.1%
45991.58 1
< 0.1%
41668.88 1
< 0.1%
39404.59 1
< 0.1%
35501.52 1
< 0.1%
34191.88 1
< 0.1%
30583.94 1
< 0.1%
30551.52 1
< 0.1%
29043.67 1
< 0.1%
Distinct2359
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1522.9074
Minimum3.33
Maximum54118.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:15.855735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile49.2725
Q1195.2125
median469.92
Q31252.5725
95-th percentile5073.095
Maximum54118.9
Range54115.57
Interquartile range (IQR)1057.36

Descriptive statistics

Standard deviation3958.186
Coefficient of variation (CV)2.5990983
Kurtosis59.589129
Mean1522.9074
Median Absolute Deviation (MAD)350.505
Skewness6.8380589
Sum3618428
Variance15667237
MonotonicityNot monotonic
2023-12-13T09:49:15.973454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158.75 2
 
0.1%
2361.1 2
 
0.1%
105.88 2
 
0.1%
46.41 2
 
0.1%
68.13 2
 
0.1%
227.35 2
 
0.1%
185.78 2
 
0.1%
166.33 2
 
0.1%
113.49 2
 
0.1%
177.67 2
 
0.1%
Other values (2349) 2356
99.2%
ValueCountFrequency (%)
3.33 1
< 0.1%
5.85 1
< 0.1%
5.89 1
< 0.1%
6.2 1
< 0.1%
7.03 1
< 0.1%
7.14 1
< 0.1%
8.08 1
< 0.1%
8.31 1
< 0.1%
9.41 1
< 0.1%
10.28 1
< 0.1%
ValueCountFrequency (%)
54118.9 1
< 0.1%
50551.15 1
< 0.1%
45197.76 1
< 0.1%
42409.67 1
< 0.1%
42308.84 1
< 0.1%
40799.76 1
< 0.1%
36890.87 1
< 0.1%
36852.31 1
< 0.1%
33606.4 1
< 0.1%
31242.2 1
< 0.1%
Distinct2363
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1517.4026
Minimum4.57
Maximum54345.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:16.093329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.57
5-th percentile51.555
Q1199.015
median489.955
Q31249.9225
95-th percentile5143.615
Maximum54345.5
Range54340.93
Interquartile range (IQR)1050.9075

Descriptive statistics

Standard deviation3896.6927
Coefficient of variation (CV)2.5680019
Kurtosis58.401563
Mean1517.4026
Median Absolute Deviation (MAD)366.375
Skewness6.7597985
Sum3605348.6
Variance15184214
MonotonicityNot monotonic
2023-12-13T09:49:16.208026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.52 2
 
0.1%
166.52 2
 
0.1%
61.41 2
 
0.1%
559.28 2
 
0.1%
400.84 2
 
0.1%
108.71 2
 
0.1%
339.8 2
 
0.1%
682.58 2
 
0.1%
840.19 2
 
0.1%
284.9 2
 
0.1%
Other values (2353) 2356
99.2%
ValueCountFrequency (%)
4.57 1
< 0.1%
8.28 1
< 0.1%
9.17 1
< 0.1%
9.34 1
< 0.1%
9.82 1
< 0.1%
10.25 1
< 0.1%
11.68 1
< 0.1%
12.14 1
< 0.1%
12.21 1
< 0.1%
13.8 1
< 0.1%
ValueCountFrequency (%)
54345.5 1
< 0.1%
49145.38 1
< 0.1%
43216.61 1
< 0.1%
43128.56 1
< 0.1%
40129.52 1
< 0.1%
39290.92 1
< 0.1%
36901.12 1
< 0.1%
31413.65 1
< 0.1%
31312.3 1
< 0.1%
30900.79 1
< 0.1%
Distinct2359
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1552.6759
Minimum7.02
Maximum53779.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:16.321337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.02
5-th percentile53.3825
Q1218.8375
median540.325
Q31420.8725
95-th percentile5477.59
Maximum53779.03
Range53772.01
Interquartile range (IQR)1202.035

Descriptive statistics

Standard deviation3663.1819
Coefficient of variation (CV)2.3592701
Kurtosis60.609794
Mean1552.6759
Median Absolute Deviation (MAD)401.545
Skewness6.720836
Sum3689158
Variance13418902
MonotonicityNot monotonic
2023-12-13T09:49:16.424371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.69 2
 
0.1%
350.62 2
 
0.1%
32.04 2
 
0.1%
399.02 2
 
0.1%
76.03 2
 
0.1%
432.21 2
 
0.1%
452.96 2
 
0.1%
532.07 2
 
0.1%
826.29 2
 
0.1%
434.51 2
 
0.1%
Other values (2349) 2356
99.2%
ValueCountFrequency (%)
7.02 1
< 0.1%
7.14 1
< 0.1%
8.09 1
< 0.1%
8.19 1
< 0.1%
8.28 1
< 0.1%
9.23 1
< 0.1%
10.7 1
< 0.1%
11.28 1
< 0.1%
12.09 1
< 0.1%
12.24 1
< 0.1%
ValueCountFrequency (%)
53779.03 1
< 0.1%
45851.26 1
< 0.1%
43887.33 1
< 0.1%
42998.8 1
< 0.1%
38349.78 1
< 0.1%
32784.43 1
< 0.1%
31481.5 1
< 0.1%
30217.05 1
< 0.1%
29672.12 1
< 0.1%
28460.05 1
< 0.1%
Distinct2361
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1471.4474
Minimum3.47
Maximum71049.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:16.526618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.47
5-th percentile49.895
Q1194.0475
median487.955
Q31220.9775
95-th percentile4940.8075
Maximum71049.94
Range71046.47
Interquartile range (IQR)1026.93

Descriptive statistics

Standard deviation3877.7654
Coefficient of variation (CV)2.6353409
Kurtosis89.429152
Mean1471.4474
Median Absolute Deviation (MAD)359.87
Skewness7.9691775
Sum3496159
Variance15037064
MonotonicityNot monotonic
2023-12-13T09:49:16.629504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320.74 2
 
0.1%
1059.04 2
 
0.1%
189.73 2
 
0.1%
132.06 2
 
0.1%
488.44 2
 
0.1%
260.17 2
 
0.1%
167.2 2
 
0.1%
425.06 2
 
0.1%
328.8 2
 
0.1%
83.65 2
 
0.1%
Other values (2351) 2356
99.2%
ValueCountFrequency (%)
3.47 1
< 0.1%
5.72 1
< 0.1%
8.62 1
< 0.1%
8.71 1
< 0.1%
8.93 1
< 0.1%
10.84 1
< 0.1%
12.87 1
< 0.1%
13.21 1
< 0.1%
13.87 1
< 0.1%
14.09 1
< 0.1%
ValueCountFrequency (%)
71049.94 1
< 0.1%
51073.52 1
< 0.1%
45822.36 1
< 0.1%
43272.65 1
< 0.1%
42276.39 1
< 0.1%
42017.48 1
< 0.1%
32016.05 1
< 0.1%
31565.52 1
< 0.1%
30168.11 1
< 0.1%
29007.54 1
< 0.1%
Distinct2362
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1596.5504
Minimum2.83
Maximum63038.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:16.740736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.83
5-th percentile64.66
Q1230.3025
median550.59
Q31396.13
95-th percentile5432.1325
Maximum63038.47
Range63035.64
Interquartile range (IQR)1165.8275

Descriptive statistics

Standard deviation3919.6252
Coefficient of variation (CV)2.4550588
Kurtosis70.432407
Mean1596.5504
Median Absolute Deviation (MAD)404.19
Skewness7.1983206
Sum3793403.8
Variance15363462
MonotonicityNot monotonic
2023-12-13T09:49:16.841176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.66 2
 
0.1%
140.87 2
 
0.1%
463.68 2
 
0.1%
156.92 2
 
0.1%
396.31 2
 
0.1%
11.03 2
 
0.1%
566.34 2
 
0.1%
320.23 2
 
0.1%
138.76 2
 
0.1%
195.27 2
 
0.1%
Other values (2352) 2356
99.2%
ValueCountFrequency (%)
2.83 1
< 0.1%
11.0 1
< 0.1%
11.03 2
0.1%
11.48 1
< 0.1%
13.18 1
< 0.1%
14.68 1
< 0.1%
15.25 1
< 0.1%
15.32 1
< 0.1%
15.81 1
< 0.1%
15.99 1
< 0.1%
ValueCountFrequency (%)
63038.47 1
< 0.1%
50650.14 1
< 0.1%
49178.65 1
< 0.1%
41876.63 1
< 0.1%
41573.95 1
< 0.1%
37607.27 1
< 0.1%
35110.05 1
< 0.1%
32069.32 1
< 0.1%
31137.02 1
< 0.1%
30889.81 1
< 0.1%
Distinct2349
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1490.4651
Minimum3.78
Maximum60361.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:16.942596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.78
5-th percentile50.4175
Q1192.165
median490.29
Q31246.495
95-th percentile5026.1975
Maximum60361.48
Range60357.7
Interquartile range (IQR)1054.33

Descriptive statistics

Standard deviation3858.8069
Coefficient of variation (CV)2.588995
Kurtosis71.022289
Mean1490.4651
Median Absolute Deviation (MAD)372.955
Skewness7.2982347
Sum3541345.2
Variance14890390
MonotonicityNot monotonic
2023-12-13T09:49:17.059388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417.96 2
 
0.1%
885.8 2
 
0.1%
92.11 2
 
0.1%
538.93 2
 
0.1%
569.64 2
 
0.1%
269.19 2
 
0.1%
265.82 2
 
0.1%
2015.21 2
 
0.1%
113.61 2
 
0.1%
332.92 2
 
0.1%
Other values (2339) 2356
99.2%
ValueCountFrequency (%)
3.78 1
< 0.1%
4.69 1
< 0.1%
6.02 1
< 0.1%
8.4 1
< 0.1%
9.29 1
< 0.1%
10.86 1
< 0.1%
11.21 1
< 0.1%
11.85 1
< 0.1%
12.36 1
< 0.1%
13.5 1
< 0.1%
ValueCountFrequency (%)
60361.48 1
< 0.1%
53043.39 1
< 0.1%
44975.7 1
< 0.1%
44206.53 1
< 0.1%
41220.96 1
< 0.1%
37106.29 1
< 0.1%
34529.21 1
< 0.1%
31642.2 1
< 0.1%
31351.85 1
< 0.1%
30052.35 1
< 0.1%
Distinct2352
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1299.5071
Minimum3.29
Maximum60278.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:17.162228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.29
5-th percentile38.25
Q1167.0075
median422.995
Q31070.635
95-th percentile4292.6775
Maximum60278.33
Range60275.04
Interquartile range (IQR)903.6275

Descriptive statistics

Standard deviation3501.7362
Coefficient of variation (CV)2.6946649
Kurtosis86.58107
Mean1299.5071
Median Absolute Deviation (MAD)317.84
Skewness7.951844
Sum3087628.9
Variance12262156
MonotonicityNot monotonic
2023-12-13T09:49:17.264829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
569.03 2
 
0.1%
34.07 2
 
0.1%
754.64 2
 
0.1%
60.62 2
 
0.1%
237.39 2
 
0.1%
343.05 2
 
0.1%
121.17 2
 
0.1%
410.36 2
 
0.1%
204.64 2
 
0.1%
122.71 2
 
0.1%
Other values (2342) 2356
99.2%
ValueCountFrequency (%)
3.29 1
< 0.1%
3.46 1
< 0.1%
3.68 1
< 0.1%
6.2 1
< 0.1%
7.37 1
< 0.1%
7.75 1
< 0.1%
7.93 1
< 0.1%
7.97 1
< 0.1%
9.23 2
0.1%
9.39 1
< 0.1%
ValueCountFrequency (%)
60278.33 1
< 0.1%
49984.15 1
< 0.1%
45252.31 1
< 0.1%
38980.21 1
< 0.1%
38257.94 1
< 0.1%
33997.46 1
< 0.1%
29227.6 1
< 0.1%
28887.28 1
< 0.1%
28440.47 1
< 0.1%
28005.63 1
< 0.1%
Distinct2267
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.6954
Minimum0.22
Maximum8961.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:17.382389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile7.9425
Q130.16
median69.205
Q3167.555
95-th percentile613.9025
Maximum8961.13
Range8960.91
Interquartile range (IQR)137.395

Descriptive statistics

Standard deviation467.83711
Coefficient of variation (CV)2.519379
Kurtosis133.91828
Mean185.6954
Median Absolute Deviation (MAD)49.045
Skewness9.7170779
Sum441212.28
Variance218871.56
MonotonicityNot monotonic
2023-12-13T09:49:17.503113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.37 4
 
0.2%
66.71 3
 
0.1%
12.05 3
 
0.1%
20.62 3
 
0.1%
127.6 3
 
0.1%
19.15 3
 
0.1%
13.56 3
 
0.1%
14.12 2
 
0.1%
16.18 2
 
0.1%
34.22 2
 
0.1%
Other values (2257) 2348
98.8%
ValueCountFrequency (%)
0.22 1
< 0.1%
0.33 1
< 0.1%
0.61 1
< 0.1%
0.65 1
< 0.1%
0.89 1
< 0.1%
0.91 1
< 0.1%
1.08 1
< 0.1%
1.17 1
< 0.1%
1.22 1
< 0.1%
1.48 1
< 0.1%
ValueCountFrequency (%)
8961.13 1
< 0.1%
8150.52 1
< 0.1%
7043.72 1
< 0.1%
6284.48 1
< 0.1%
4951.29 1
< 0.1%
4168.13 1
< 0.1%
3929.03 1
< 0.1%
3799.52 1
< 0.1%
3726.23 1
< 0.1%
3578.12 1
< 0.1%
Distinct2263
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.84795
Minimum0.18
Maximum9358.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:17.609556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile5.575
Q124.345
median69.99
Q3189.4925
95-th percentile877.65
Maximum9358.47
Range9358.29
Interquartile range (IQR)165.1475

Descriptive statistics

Standard deviation656.71545
Coefficient of variation (CV)2.693135
Kurtosis59.341924
Mean243.84795
Median Absolute Deviation (MAD)55.045
Skewness6.7247065
Sum579382.72
Variance431275.18
MonotonicityNot monotonic
2023-12-13T09:49:17.709106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.83 3
 
0.1%
21.1 3
 
0.1%
44.48 3
 
0.1%
14.8 3
 
0.1%
6.87 2
 
0.1%
20.28 2
 
0.1%
29.3 2
 
0.1%
34.1 2
 
0.1%
23.08 2
 
0.1%
367.18 2
 
0.1%
Other values (2253) 2352
99.0%
ValueCountFrequency (%)
0.18 1
< 0.1%
0.23 1
< 0.1%
0.38 1
< 0.1%
0.42 1
< 0.1%
0.45 1
< 0.1%
0.62 1
< 0.1%
0.72 2
0.1%
0.88 1
< 0.1%
0.91 1
< 0.1%
0.92 1
< 0.1%
ValueCountFrequency (%)
9358.47 1
< 0.1%
8831.5 1
< 0.1%
8453.68 1
< 0.1%
6116.88 1
< 0.1%
5761.63 1
< 0.1%
5369.09 1
< 0.1%
5305.56 1
< 0.1%
5195.85 1
< 0.1%
5102.31 1
< 0.1%
4975.16 1
< 0.1%
Distinct2332
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.42956
Minimum0.72
Maximum30889.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:17.806479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.72
5-th percentile18.31
Q181.03
median223.485
Q3615.7925
95-th percentile3008.5825
Maximum30889.07
Range30888.35
Interquartile range (IQR)534.7625

Descriptive statistics

Standard deviation2284.2731
Coefficient of variation (CV)2.7573534
Kurtosis53.814768
Mean828.42956
Median Absolute Deviation (MAD)174.435
Skewness6.5154939
Sum1968348.6
Variance5217903.4
MonotonicityNot monotonic
2023-12-13T09:49:17.907718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350.32 2
 
0.1%
57.91 2
 
0.1%
209.08 2
 
0.1%
9.72 2
 
0.1%
307.26 2
 
0.1%
74.08 2
 
0.1%
50.7 2
 
0.1%
1011.44 2
 
0.1%
79.36 2
 
0.1%
10.61 2
 
0.1%
Other values (2322) 2356
99.2%
ValueCountFrequency (%)
0.72 1
< 0.1%
1.39 1
< 0.1%
1.77 1
< 0.1%
2.0 1
< 0.1%
2.16 1
< 0.1%
2.26 1
< 0.1%
2.33 1
< 0.1%
2.47 1
< 0.1%
2.6 1
< 0.1%
2.81 1
< 0.1%
ValueCountFrequency (%)
30889.07 1
< 0.1%
28499.74 1
< 0.1%
27271.01 1
< 0.1%
23067.89 1
< 0.1%
22466.03 1
< 0.1%
20489.16 1
< 0.1%
19070.96 1
< 0.1%
17948.86 1
< 0.1%
17938.83 1
< 0.1%
17244.13 1
< 0.1%
Distinct2183
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.49483
Minimum0.1
Maximum6213.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:18.241503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile3.3675
Q114.1
median38.1
Q3101.6975
95-th percentile435.785
Maximum6213.81
Range6213.71
Interquartile range (IQR)87.5975

Descriptive statistics

Standard deviation393.08268
Coefficient of variation (CV)2.9226602
Kurtosis79.631782
Mean134.49483
Median Absolute Deviation (MAD)29.52
Skewness7.7830521
Sum319559.71
Variance154513.99
MonotonicityNot monotonic
2023-12-13T09:49:18.342997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.77 3
 
0.1%
13.0 3
 
0.1%
5.81 3
 
0.1%
28.35 3
 
0.1%
9.11 3
 
0.1%
5.83 3
 
0.1%
0.83 3
 
0.1%
16.28 3
 
0.1%
3.05 3
 
0.1%
15.59 3
 
0.1%
Other values (2173) 2346
98.7%
ValueCountFrequency (%)
0.1 1
< 0.1%
0.28 1
< 0.1%
0.31 1
< 0.1%
0.34 1
< 0.1%
0.41 1
< 0.1%
0.44 2
0.1%
0.46 1
< 0.1%
0.49 1
< 0.1%
0.51 1
< 0.1%
0.52 1
< 0.1%
ValueCountFrequency (%)
6213.81 1
< 0.1%
5608.21 1
< 0.1%
4930.27 1
< 0.1%
4871.79 1
< 0.1%
3879.01 1
< 0.1%
3857.36 1
< 0.1%
3623.47 1
< 0.1%
3490.58 1
< 0.1%
3224.91 1
< 0.1%
3063.62 1
< 0.1%
Distinct2212
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.04582
Minimum0.1
Maximum9897.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:18.449496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5.655
Q121.775
median51.715
Q3132.0075
95-th percentile501.69
Maximum9897.22
Range9897.12
Interquartile range (IQR)110.2325

Descriptive statistics

Standard deviation491.42308
Coefficient of variation (CV)3.0514488
Kurtosis168.06733
Mean161.04582
Median Absolute Deviation (MAD)38.525
Skewness11.060519
Sum382644.87
Variance241496.65
MonotonicityNot monotonic
2023-12-13T09:49:18.558473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.58 3
 
0.1%
15.08 3
 
0.1%
14.23 3
 
0.1%
39.36 3
 
0.1%
10.14 3
 
0.1%
5.97 3
 
0.1%
18.15 3
 
0.1%
34.02 3
 
0.1%
41.93 3
 
0.1%
28.32 3
 
0.1%
Other values (2202) 2346
98.7%
ValueCountFrequency (%)
0.1 1
< 0.1%
0.29 1
< 0.1%
0.38 1
< 0.1%
0.47 1
< 0.1%
0.68 1
< 0.1%
0.69 1
< 0.1%
0.81 1
< 0.1%
0.87 1
< 0.1%
0.88 1
< 0.1%
0.94 1
< 0.1%
ValueCountFrequency (%)
9897.22 1
< 0.1%
9280.81 1
< 0.1%
8131.91 1
< 0.1%
6397.22 1
< 0.1%
4629.03 1
< 0.1%
4277.81 1
< 0.1%
4272.7 1
< 0.1%
4010.05 1
< 0.1%
3439.72 1
< 0.1%
3426.46 1
< 0.1%
Distinct2351
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.18314
Minimum0.42
Maximum24897.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:18.671835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile33.155
Q1122.765
median273.305
Q3610.9775
95-th percentile2544.1
Maximum24897.25
Range24896.83
Interquartile range (IQR)488.2125

Descriptive statistics

Standard deviation1504.6948
Coefficient of variation (CV)2.1992573
Kurtosis86.969097
Mean684.18314
Median Absolute Deviation (MAD)189.995
Skewness7.6940985
Sum1625619.1
Variance2264106.4
MonotonicityNot monotonic
2023-12-13T09:49:18.785980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.55 2
 
0.1%
73.35 2
 
0.1%
66.61 2
 
0.1%
157.15 2
 
0.1%
25.52 2
 
0.1%
649.03 2
 
0.1%
59.74 2
 
0.1%
204.63 2
 
0.1%
78.58 2
 
0.1%
705.61 2
 
0.1%
Other values (2341) 2356
99.2%
ValueCountFrequency (%)
0.42 1
< 0.1%
1.16 1
< 0.1%
2.58 1
< 0.1%
3.26 1
< 0.1%
3.32 1
< 0.1%
4.0 1
< 0.1%
4.69 1
< 0.1%
5.57 1
< 0.1%
6.48 1
< 0.1%
7.12 1
< 0.1%
ValueCountFrequency (%)
24897.25 1
< 0.1%
23752.04 1
< 0.1%
20527.72 1
< 0.1%
18694.52 1
< 0.1%
15339.59 1
< 0.1%
12730.12 1
< 0.1%
12415.62 1
< 0.1%
11583.99 1
< 0.1%
11040.78 1
< 0.1%
10917.37 1
< 0.1%
Distinct2338
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675.8178
Minimum1.12
Maximum23280.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-13T09:49:18.887692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.12
5-th percentile27.7175
Q1112.0625
median257.34
Q3602.585
95-th percentile2412.58
Maximum23280.4
Range23279.28
Interquartile range (IQR)490.5225

Descriptive statistics

Standard deviation1558.0528
Coefficient of variation (CV)2.3054332
Kurtosis69.606955
Mean675.8178
Median Absolute Deviation (MAD)183.655
Skewness7.1332476
Sum1605743.1
Variance2427528.5
MonotonicityNot monotonic
2023-12-13T09:49:18.987839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.93 2
 
0.1%
34.41 2
 
0.1%
104.17 2
 
0.1%
59.71 2
 
0.1%
93.84 2
 
0.1%
182.72 2
 
0.1%
105.89 2
 
0.1%
43.78 2
 
0.1%
33.69 2
 
0.1%
30.18 2
 
0.1%
Other values (2328) 2356
99.2%
ValueCountFrequency (%)
1.12 1
< 0.1%
1.72 1
< 0.1%
2.64 1
< 0.1%
2.69 1
< 0.1%
3.86 1
< 0.1%
4.09 1
< 0.1%
4.3 1
< 0.1%
4.59 1
< 0.1%
5.01 1
< 0.1%
5.21 1
< 0.1%
ValueCountFrequency (%)
23280.4 1
< 0.1%
21187.89 1
< 0.1%
20188.24 1
< 0.1%
19648.62 1
< 0.1%
16133.29 1
< 0.1%
14259.9 1
< 0.1%
13320.8 1
< 0.1%
13093.01 1
< 0.1%
12264.8 1
< 0.1%
11921.95 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2021-11-30
2376 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-30
2nd row2021-11-30
3rd row2021-11-30
4th row2021-11-30
5th row2021-11-30

Common Values

ValueCountFrequency (%)
2021-11-30 2376
100.0%

Length

2023-12-13T09:49:19.080552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:49:19.144656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-30 2376
100.0%

Sample

인구이동_기점인구이동_종점0세_19세 일평균 관외유출 인구20세_39세 일평균 관외유출 인구40세_64세 일평균 관외유출 인구65세 이상 일평균 관외유출 인구남성_일평균 관외유출 인구여성_일평균 관외유출 인구2020년 1월_일평균 관외유출 인구2020년 2월_일평균 관외유출 인구2020년 3월_일평균 관외유출 인구2020년 4월_일평균 관외유출 인구2020년 5월_일평균 관외유출 인구2020년 6월_일평균 관외유출 인구2020년 7월_일평균 관외유출 인구2020년 8월_일평균 관외유출 인구2020년 9월_일평균 관외유출 인구2020년 10월_일평균 관외유출 인구2020년 11월_일평균 관외유출 인구2020년 12월_일평균 관외유출 인구주중_새벽(0시-6시)_일평균 관외유출 인구주중_출근(7시-9시)_일평균 관외유출 인구주중_주간(10시-17시)_일평균 관외유출 인구주중_퇴근(18시-20시)_일평균 관외유출 인구주중_야간(21시-23시)_일평균 관외유출 인구주말_첨두시(11시-19시)_일평균 관외유출 인구주말_비첨두시(20시-10시)_일평균 관외유출 인구데이터기준일자
0고등동가평군1.8830.2839.425.9124.3353.1767.0747.1862.1672.9669.3638.51168.38107.3449.82105.2760.3350.9110.366.8720.654.087.3158.637.082021-11-30
1고등동강원도23.5187.25311.2141.61222.51341.07560.97539.85326.5498.07568.31610.41449.34849.23576.08613.54754.75420.26115.0559.39179.1236.6771.15487.36333.682021-11-30
2고등동경상남도11.9776.25101.45.2165.26129.57252.3288.74118.8153.81250.0960.22187.34250.31222.62307.92247.31151.7147.6820.8257.514.4429.63150.288.262021-11-30
3고등동경상북도11.3777.4596.4464.08116.24133.1257.4102.7977.14210.26417.06256.82273.38545.22189.11245.68298.7496.4663.5328.0981.819.8739.04175.29112.082021-11-30
4고등동고양시 덕양구0.0921.8977.274.9922.5181.7355.37102.98123.3375.95137.14110.51130.26165.1797.2793.9579.7476.414.9517.8348.015.117.6968.2653.772021-11-30
5고등동고양시 일산동구5.6134.3521.565.8531.1836.2168.2533.6783.8651.3875.0927.4750.4628.8728.6279.4685.857.0613.7811.5927.962.975.233.1622.452021-11-30
6고등동고양시 일산서구0.7111.228.410.476.9613.8621.7112.0216.458.6417.9614.5346.2223.6713.8715.3218.8620.292.781.865.410.591.067.477.712021-11-30
7고등동과천시0.9940.2355.287.4625.2178.76126.46120.0881.3566.27141.485.2279.06105.54100.53129.53116.1196.0212.7228.6160.26.346.0826.0351.752021-11-30
8고등동광명시0.3588.5791.353.0547.95135.37196.68153.79135.96152.12226.4241.19204.9183.86210.08140.87152.71200.1327.8148.02103.849.2110.4477.7565.282021-11-30
9고등동광주광역시2.5724.8756.371.6212.2773.1786.08106.7432.138.8790.4450.1659.73200.219.0687.5952.581.316.037.0820.125.110.1543.4126.172021-11-30
인구이동_기점인구이동_종점0세_19세 일평균 관외유출 인구20세_39세 일평균 관외유출 인구40세_64세 일평균 관외유출 인구65세 이상 일평균 관외유출 인구남성_일평균 관외유출 인구여성_일평균 관외유출 인구2020년 1월_일평균 관외유출 인구2020년 2월_일평균 관외유출 인구2020년 3월_일평균 관외유출 인구2020년 4월_일평균 관외유출 인구2020년 5월_일평균 관외유출 인구2020년 6월_일평균 관외유출 인구2020년 7월_일평균 관외유출 인구2020년 8월_일평균 관외유출 인구2020년 9월_일평균 관외유출 인구2020년 10월_일평균 관외유출 인구2020년 11월_일평균 관외유출 인구2020년 12월_일평균 관외유출 인구주중_새벽(0시-6시)_일평균 관외유출 인구주중_출근(7시-9시)_일평균 관외유출 인구주중_주간(10시-17시)_일평균 관외유출 인구주중_퇴근(18시-20시)_일평균 관외유출 인구주중_야간(21시-23시)_일평균 관외유출 인구주말_첨두시(11시-19시)_일평균 관외유출 인구주말_비첨두시(20시-10시)_일평균 관외유출 인구데이터기준일자
2366화서2동전라남도63.8224.12508.2631.67379.27448.581240.95577.0526.89662.541104.46739.22564.991317.67691.141088.42874.33519.29176.2579.81238.6656.11111.93772.94470.792021-11-30
2367화서2동전라북도165.61333.75662.4446.25511.82696.231655.66972.98860.2949.481335.351013.35833.961929.141184.321794.741294.29645.35236.5113.0357.8282.48160.651116.83740.152021-11-30
2368화서2동제주특별자치도68.09355.58362.9111.96505.7392.831130.88646.55259.42577.05797.46704.02925.331415.96723.061175.431280.971119.98236.72105.15295.4673.15142.61623.99389.012021-11-30
2369화서2동충청남도237.241082.02059.73206.771360.962224.793803.792360.382880.533829.584200.323615.293221.164112.063827.774888.114151.492094.3523.14438.241414.43244.7380.952734.492323.182021-11-30
2370화서2동충청북도147.14502.98954.6112.96662.521055.161664.71237.271415.891442.571973.352077.911595.312032.661850.132277.411914.011113.32274.49181.54615.52113.53199.931425.321130.442021-11-30
2371화서2동파주시33.0185.78129.369.4288.11169.47240.05126.02210.77323.16184.97292.33434.87296.48279.9236.76250.69210.241.5930.74107.7716.1927.17167.2176.332021-11-30
2372화서2동평택시71.17909.451267.81113.51536.471825.472582.982345.192406.912437.72042.122361.12155.262484.072825.972326.792344.852046.14266.82490.61489.43192.09187.52775.17920.392021-11-30
2373화서2동포천시15.3747.2871.517.5469.3872.31163.43118.9872.9387.2109.26123.02162.94254.4174.94265.34156.1195.318.4311.7442.137.7514.2133.57112.662021-11-30
2374화서2동하남시18.3185.44138.365.7388.58159.27268.53412.2195.68258.06241.45257.3276.38277.31253.34214.86160.75166.9728.3735.86125.8617.7119.62125.82173.492021-11-30
2375화서2동화성시424.293744.689305.99608.854496.819587.013103.513383.3814136.0614842.7614336.2814659.2614430.6113025.7214660.1814579.0714861.6113028.821228.483065.359713.41216.191042.133682.124905.352021-11-30