Overview

Dataset statistics

Number of variables38
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory166.6 KiB
Average record size in memory341.3 B

Variable types

Text1
Numeric37

Alerts

시간대(TIMEZN_CD) has 19 (3.8%) zerosZeros
남자00~04세(M00) has 347 (69.4%) zerosZeros
남자05~09세(M05) has 348 (69.6%) zerosZeros
남자10~14세(M10) has 155 (31.0%) zerosZeros
남자15~19세(M15) has 97 (19.4%) zerosZeros
남자20~24세(M20) has 57 (11.4%) zerosZeros
남자25~29세(M25) has 48 (9.6%) zerosZeros
남자30~34세(M30) has 54 (10.8%) zerosZeros
남자35~39세(M35) has 39 (7.8%) zerosZeros
남자40~44세(M40) has 50 (10.0%) zerosZeros
남자45~49세(M45) has 51 (10.2%) zerosZeros
남자50~54세(M50) has 44 (8.8%) zerosZeros
남자55~59세(M55) has 57 (11.4%) zerosZeros
남자60~64세(M60) has 94 (18.8%) zerosZeros
남자65~69세(M65) has 112 (22.4%) zerosZeros
남자70세이상(M70) has 101 (20.2%) zerosZeros
여자00~04세(F00) has 301 (60.2%) zerosZeros
여자05~09세(F05) has 289 (57.8%) zerosZeros
여자10~14세(F10) has 186 (37.2%) zerosZeros
여자15~19세(F15) has 91 (18.2%) zerosZeros
여자20~24세(F20) has 71 (14.2%) zerosZeros
여자25~29세(F25) has 75 (15.0%) zerosZeros
여자30~34세(F30) has 69 (13.8%) zerosZeros
여자35~39세(F35) has 78 (15.6%) zerosZeros
여자40~44세(F40) has 71 (14.2%) zerosZeros
여자45~49세(F45) has 57 (11.4%) zerosZeros
여자50~54세(F50) has 86 (17.2%) zerosZeros
여자55~59세(F55) has 45 (9.0%) zerosZeros
여자60~64세(F60) has 75 (15.0%) zerosZeros
여자65~69세(F65) has 120 (24.0%) zerosZeros
여자70세이상(F70) has 105 (21.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:51:34.367146
Analysis finished2023-12-10 14:51:34.767842
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

셀id(ID)
Text

Distinct337
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T23:51:35.024908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters4000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)44.0%

Sample

1st row5*0*3*5*
2nd row5*5*1*4*
3rd row5*3*1*4*
4th row5*6*5*8*
5th row5*1*6*7*
ValueCountFrequency (%)
5*3*9*0 5
 
1.0%
5*2*0*6 5
 
1.0%
5*2*9*0 5
 
1.0%
5*2*5*9 4
 
0.8%
5*2*7*3 4
 
0.8%
5*3*9*1 4
 
0.8%
5*4*3*9 4
 
0.8%
5*0*8*7 4
 
0.8%
5*1*8*5 4
 
0.8%
5*6*0*9 3
 
0.6%
Other values (327) 458
91.6%
2023-12-10T23:51:35.495639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2000
50.0%
5 658
 
16.4%
3 180
 
4.5%
2 175
 
4.4%
4 164
 
4.1%
6 150
 
3.8%
1 148
 
3.7%
8 138
 
3.5%
9 137
 
3.4%
0 125
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 2000
50.0%
Decimal Number 2000
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 658
32.9%
3 180
 
9.0%
2 175
 
8.8%
4 164
 
8.2%
6 150
 
7.5%
1 148
 
7.4%
8 138
 
6.9%
9 137
 
6.9%
0 125
 
6.2%
7 125
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 2000
50.0%
5 658
 
16.4%
3 180
 
4.5%
2 175
 
4.4%
4 164
 
4.1%
6 150
 
3.8%
1 148
 
3.7%
8 138
 
3.5%
9 137
 
3.4%
0 125
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2000
50.0%
5 658
 
16.4%
3 180
 
4.5%
2 175
 
4.4%
4 164
 
4.1%
6 150
 
3.8%
1 148
 
3.7%
8 138
 
3.5%
9 137
 
3.4%
0 125
 
3.1%

x좌표(X_COORD)
Real number (ℝ)

Distinct492
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197914.64
Minimum195598.22
Maximum201941.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:35.681031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195598.22
5-th percentile196185.02
Q1196884.83
median197587.43
Q3198684.44
95-th percentile200696.45
Maximum201941.94
Range6343.7259
Interquartile range (IQR)1799.6084

Descriptive statistics

Standard deviation1420.1425
Coefficient of variation (CV)0.0071755303
Kurtosis-0.013173305
Mean197914.64
Median Absolute Deviation (MAD)820.15094
Skewness0.84970761
Sum98957322
Variance2016804.8
MonotonicityNot monotonic
2023-12-10T23:51:35.842711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200593.083264328 2
 
0.4%
197793.788191576 2
 
0.4%
197128.419480869 2
 
0.4%
196824.187292784 2
 
0.4%
199273.497727746 2
 
0.4%
196900.787074555 2
 
0.4%
197920.393733767 2
 
0.4%
197191.170784742 2
 
0.4%
199022.450122774 1
 
0.2%
197075.765200987 1
 
0.2%
Other values (482) 482
96.4%
ValueCountFrequency (%)
195598.21701019 1
0.2%
195693.423475006 1
0.2%
195798.203085536 1
0.2%
195834.370565054 1
0.2%
195843.413053964 1
0.2%
195847.667799265 1
0.2%
195884.367100974 1
0.2%
195890.750198296 1
0.2%
195930.107808675 1
0.2%
195933.815627868 1
0.2%
ValueCountFrequency (%)
201941.94293477 1
0.2%
201940.348788522 1
0.2%
201890.882979449 1
0.2%
201890.351592007 1
0.2%
201836.634537089 1
0.2%
201685.580131426 1
0.2%
201538.245766726 1
0.2%
201491.436983876 1
0.2%
201441.439836151 1
0.2%
201338.257188597 1
0.2%

y좌표(Y_COORD)
Real number (ℝ)

Distinct486
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554857.66
Minimum552045.02
Maximum559099.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:36.327613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum552045.02
5-th percentile552437.77
Q1553179.22
median554384.48
Q3556515.59
95-th percentile558189.07
Maximum559099.87
Range7054.8513
Interquartile range (IQR)3336.3739

Descriptive statistics

Standard deviation1934.2749
Coefficient of variation (CV)0.003486074
Kurtosis-1.1257247
Mean554857.66
Median Absolute Deviation (MAD)1543.2589
Skewness0.42928681
Sum2.7742883 × 108
Variance3741419.3
MonotonicityNot monotonic
2023-12-10T23:51:36.471275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
557751.550916763 3
 
0.6%
553191.218580588 2
 
0.4%
552803.999218572 2
 
0.4%
553103.979814015 2
 
0.4%
554156.038088146 2
 
0.4%
555856.992238415 2
 
0.4%
552986.98063548 2
 
0.4%
553406.617763619 2
 
0.4%
552505.081367129 2
 
0.4%
553432.659962844 2
 
0.4%
Other values (476) 479
95.8%
ValueCountFrequency (%)
552045.015215198 1
0.2%
552091.823920392 1
0.2%
552098.731191242 1
0.2%
552113.077102476 1
0.2%
552120.515745083 1
0.2%
552146.07123267 1
0.2%
552161.479952905 1
0.2%
552169.450005834 1
0.2%
552171.044018498 1
0.2%
552172.638031856 1
0.2%
ValueCountFrequency (%)
559099.866512649 1
0.2%
559000.937234768 1
0.2%
558753.613849841 1
0.2%
558704.149140247 1
0.2%
558648.831960144 1
0.2%
558647.235836382 1
0.2%
558643.511550247 1
0.2%
558641.383388402 1
0.2%
558606.283762287 1
0.2%
558597.771180073 1
0.2%

요일(YOIL)
Real number (ℝ)

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.958
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:36.601069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0190069
Coefficient of variation (CV)0.51010785
Kurtosis-1.2299919
Mean3.958
Median Absolute Deviation (MAD)2
Skewness0.00032659127
Sum1979
Variance4.0763888
MonotonicityNot monotonic
2023-12-10T23:51:36.731299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 84
16.8%
3 78
15.6%
4 74
14.8%
7 71
14.2%
5 70
14.0%
6 68
13.6%
2 55
11.0%
ValueCountFrequency (%)
1 84
16.8%
2 55
11.0%
3 78
15.6%
4 74
14.8%
5 70
14.0%
6 68
13.6%
7 71
14.2%
ValueCountFrequency (%)
7 71
14.2%
6 68
13.6%
5 70
14.0%
4 74
14.8%
3 78
15.6%
2 55
11.0%
1 84
16.8%

시간대(TIMEZN_CD)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.23
Minimum0
Maximum23
Zeros19
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:36.852096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median11
Q317
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.8561734
Coefficient of variation (CV)0.61052301
Kurtosis-1.1538316
Mean11.23
Median Absolute Deviation (MAD)6
Skewness0.10486961
Sum5615
Variance47.007114
MonotonicityNot monotonic
2023-12-10T23:51:36.994116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 34
 
6.8%
23 29
 
5.8%
10 27
 
5.4%
8 25
 
5.0%
16 25
 
5.0%
1 24
 
4.8%
11 23
 
4.6%
18 23
 
4.6%
6 22
 
4.4%
4 22
 
4.4%
Other values (14) 246
49.2%
ValueCountFrequency (%)
0 19
3.8%
1 24
4.8%
2 15
3.0%
3 19
3.8%
4 22
4.4%
5 34
6.8%
6 22
4.4%
7 16
3.2%
8 25
5.0%
9 22
4.4%
ValueCountFrequency (%)
23 29
5.8%
22 11
 
2.2%
21 18
3.6%
20 20
4.0%
19 17
3.4%
18 23
4.6%
17 17
3.4%
16 25
5.0%
15 18
3.6%
14 17
3.4%

남자00~04세(M00)
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006516
Minimum0
Maximum0.0318
Zeros347
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:37.150952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0003
95-th percentile0.0039
Maximum0.0318
Range0.0318
Interquartile range (IQR)0.0003

Descriptive statistics

Standard deviation0.0021850965
Coefficient of variation (CV)3.3534323
Kurtosis88.622156
Mean0.0006516
Median Absolute Deviation (MAD)0
Skewness7.6904551
Sum0.3258
Variance4.7746467 × 10-6
MonotonicityNot monotonic
2023-12-10T23:51:37.295866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 347
69.4%
0.0001 19
 
3.8%
0.0003 15
 
3.0%
0.0004 14
 
2.8%
0.0007 8
 
1.6%
0.0002 7
 
1.4%
0.0005 6
 
1.2%
0.0008 6
 
1.2%
0.0006 6
 
1.2%
0.001 5
 
1.0%
Other values (39) 67
 
13.4%
ValueCountFrequency (%)
0.0 347
69.4%
0.0001 19
 
3.8%
0.0002 7
 
1.4%
0.0003 15
 
3.0%
0.0004 14
 
2.8%
0.0005 6
 
1.2%
0.0006 6
 
1.2%
0.0007 8
 
1.6%
0.0008 6
 
1.2%
0.0009 4
 
0.8%
ValueCountFrequency (%)
0.0318 1
0.2%
0.0135 1
0.2%
0.0111 1
0.2%
0.0109 1
0.2%
0.01 1
0.2%
0.0091 1
0.2%
0.0089 1
0.2%
0.0088 1
0.2%
0.0086 1
0.2%
0.0085 1
0.2%

남자05~09세(M05)
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0081746
Minimum0
Maximum0.2785
Zeros348
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:37.450076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.001225
95-th percentile0.04898
Maximum0.2785
Range0.2785
Interquartile range (IQR)0.001225

Descriptive statistics

Standard deviation0.027027513
Coefficient of variation (CV)3.3062796
Kurtosis36.945792
Mean0.0081746
Median Absolute Deviation (MAD)0
Skewness5.4341474
Sum4.0873
Variance0.00073048647
MonotonicityNot monotonic
2023-12-10T23:51:37.674196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 348
69.6%
0.0003 5
 
1.0%
0.0002 5
 
1.0%
0.0005 5
 
1.0%
0.0031 4
 
0.8%
0.0008 4
 
0.8%
0.002 4
 
0.8%
0.0367 4
 
0.8%
0.0024 3
 
0.6%
0.0013 3
 
0.6%
Other values (96) 115
 
23.0%
ValueCountFrequency (%)
0.0 348
69.6%
0.0001 1
 
0.2%
0.0002 5
 
1.0%
0.0003 5
 
1.0%
0.0004 2
 
0.4%
0.0005 5
 
1.0%
0.0008 4
 
0.8%
0.001 1
 
0.2%
0.0011 3
 
0.6%
0.0012 1
 
0.2%
ValueCountFrequency (%)
0.2785 1
0.2%
0.2155 1
0.2%
0.2017 1
0.2%
0.1452 1
0.2%
0.1408 1
0.2%
0.1389 1
0.2%
0.1274 1
0.2%
0.1248 1
0.2%
0.117 1
0.2%
0.1111 1
0.2%

남자10~14세(M10)
Real number (ℝ)

ZEROS 

Distinct250
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.050734
Minimum0
Maximum2.7207
Zeros155
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:37.809403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00435
Q30.0318
95-th percentile0.180055
Maximum2.7207
Range2.7207
Interquartile range (IQR)0.0318

Descriptive statistics

Standard deviation0.20063103
Coefficient of variation (CV)3.9545675
Kurtosis117.01942
Mean0.050734
Median Absolute Deviation (MAD)0.00435
Skewness10.05431
Sum25.367
Variance0.04025281
MonotonicityNot monotonic
2023-12-10T23:51:37.942552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 155
31.0%
0.0021 8
 
1.6%
0.0009 7
 
1.4%
0.0027 6
 
1.2%
0.0003 6
 
1.2%
0.0005 5
 
1.0%
0.0238 5
 
1.0%
0.0002 4
 
0.8%
0.0036 4
 
0.8%
0.0023 4
 
0.8%
Other values (240) 296
59.2%
ValueCountFrequency (%)
0.0 155
31.0%
0.0002 4
 
0.8%
0.0003 6
 
1.2%
0.0004 2
 
0.4%
0.0005 5
 
1.0%
0.0006 4
 
0.8%
0.0007 3
 
0.6%
0.0008 3
 
0.6%
0.0009 7
 
1.4%
0.001 3
 
0.6%
ValueCountFrequency (%)
2.7207 1
0.2%
2.4553 1
0.2%
1.8564 1
0.2%
0.9214 1
0.2%
0.6814 1
0.2%
0.6663 1
0.2%
0.5202 1
0.2%
0.4264 1
0.2%
0.3636 1
0.2%
0.3536 1
0.2%

남자15~19세(M15)
Real number (ℝ)

ZEROS 

Distinct308
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1155762
Minimum0
Maximum4.3731
Zeros97
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:38.092681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0011
median0.01605
Q30.099225
95-th percentile0.497985
Maximum4.3731
Range4.3731
Interquartile range (IQR)0.098125

Descriptive statistics

Standard deviation0.30659985
Coefficient of variation (CV)2.652794
Kurtosis85.012438
Mean0.1155762
Median Absolute Deviation (MAD)0.01605
Skewness7.6277166
Sum57.7881
Variance0.094003469
MonotonicityNot monotonic
2023-12-10T23:51:38.269577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 97
 
19.4%
0.0014 8
 
1.6%
0.0018 7
 
1.4%
0.0008 7
 
1.4%
0.001 6
 
1.2%
0.0017 6
 
1.2%
0.0013 5
 
1.0%
0.0031 5
 
1.0%
0.0033 4
 
0.8%
0.0245 4
 
0.8%
Other values (298) 351
70.2%
ValueCountFrequency (%)
0.0 97
19.4%
0.0001 2
 
0.4%
0.0002 2
 
0.4%
0.0003 3
 
0.6%
0.0004 1
 
0.2%
0.0005 2
 
0.4%
0.0008 7
 
1.4%
0.0009 3
 
0.6%
0.001 6
 
1.2%
0.0011 3
 
0.6%
ValueCountFrequency (%)
4.3731 1
0.2%
2.3754 1
0.2%
1.9802 1
0.2%
1.8147 1
0.2%
1.2991 1
0.2%
1.2363 1
0.2%
1.2316 1
0.2%
1.0669 1
0.2%
0.9813 1
0.2%
0.9318 1
0.2%

남자20~24세(M20)
Real number (ℝ)

ZEROS 

Distinct363
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4509488
Minimum0
Maximum12.1584
Zeros57
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:38.439915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0051
median0.0565
Q30.23525
95-th percentile2.24831
Maximum12.1584
Range12.1584
Interquartile range (IQR)0.23015

Descriptive statistics

Standard deviation1.3053771
Coefficient of variation (CV)2.8947347
Kurtosis35.703186
Mean0.4509488
Median Absolute Deviation (MAD)0.0557
Skewness5.4532229
Sum225.4744
Variance1.7040095
MonotonicityNot monotonic
2023-12-10T23:51:38.580357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
11.4%
0.001 6
 
1.2%
0.0012 5
 
1.0%
0.0008 5
 
1.0%
0.0069 5
 
1.0%
0.1142 4
 
0.8%
0.0019 4
 
0.8%
0.0071 4
 
0.8%
0.0089 3
 
0.6%
0.0083 3
 
0.6%
Other values (353) 404
80.8%
ValueCountFrequency (%)
0.0 57
11.4%
0.0004 1
 
0.2%
0.0006 2
 
0.4%
0.0007 3
 
0.6%
0.0008 5
 
1.0%
0.0009 1
 
0.2%
0.001 6
 
1.2%
0.0012 5
 
1.0%
0.0013 3
 
0.6%
0.0014 1
 
0.2%
ValueCountFrequency (%)
12.1584 1
0.2%
11.1836 1
0.2%
10.3985 1
0.2%
9.027 1
0.2%
6.9942 1
0.2%
6.9094 1
0.2%
6.4938 1
0.2%
5.5853 1
0.2%
5.0599 1
0.2%
4.7702 1
0.2%

남자25~29세(M25)
Real number (ℝ)

ZEROS 

Distinct392
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.686225
Minimum0
Maximum50.5706
Zeros48
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:38.725869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.006775
median0.0603
Q30.3003
95-th percentile2.98176
Maximum50.5706
Range50.5706
Interquartile range (IQR)0.293525

Descriptive statistics

Standard deviation3.1472152
Coefficient of variation (CV)4.586273
Kurtosis151.46301
Mean0.686225
Median Absolute Deviation (MAD)0.0596
Skewness11.221741
Sum343.1125
Variance9.9049635
MonotonicityNot monotonic
2023-12-10T23:51:38.858449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 48
 
9.6%
0.001 6
 
1.2%
0.0762 5
 
1.0%
0.0008 5
 
1.0%
0.0153 4
 
0.8%
0.0015 4
 
0.8%
0.0018 4
 
0.8%
0.0059 4
 
0.8%
0.0012 4
 
0.8%
0.0055 3
 
0.6%
Other values (382) 413
82.6%
ValueCountFrequency (%)
0.0 48
9.6%
0.0003 1
 
0.2%
0.0005 3
 
0.6%
0.0006 1
 
0.2%
0.0007 3
 
0.6%
0.0008 5
 
1.0%
0.001 6
 
1.2%
0.0012 4
 
0.8%
0.0013 3
 
0.6%
0.0014 2
 
0.4%
ValueCountFrequency (%)
50.5706 1
0.2%
30.6555 1
0.2%
25.4495 1
0.2%
15.8337 1
0.2%
14.4971 1
0.2%
8.06 1
0.2%
6.7014 1
0.2%
5.8234 1
0.2%
5.4634 1
0.2%
5.2987 1
0.2%

남자30~34세(M30)
Real number (ℝ)

ZEROS 

Distinct383
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5759428
Minimum0
Maximum50.4841
Zeros54
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:39.010471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0057
median0.0524
Q30.38275
95-th percentile2.18059
Maximum50.4841
Range50.4841
Interquartile range (IQR)0.37705

Descriptive statistics

Standard deviation2.5930663
Coefficient of variation (CV)4.5022984
Kurtosis281.53152
Mean0.5759428
Median Absolute Deviation (MAD)0.0524
Skewness15.369523
Sum287.9714
Variance6.723993
MonotonicityNot monotonic
2023-12-10T23:51:39.149176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
10.8%
0.0003 6
 
1.2%
0.0023 5
 
1.0%
0.0083 4
 
0.8%
0.0036 4
 
0.8%
0.0014 4
 
0.8%
0.0069 4
 
0.8%
0.001 3
 
0.6%
0.0048 3
 
0.6%
0.0017 3
 
0.6%
Other values (373) 410
82.0%
ValueCountFrequency (%)
0.0 54
10.8%
0.0002 2
 
0.4%
0.0003 6
 
1.2%
0.0004 1
 
0.2%
0.0005 3
 
0.6%
0.0006 2
 
0.4%
0.0008 1
 
0.2%
0.0009 1
 
0.2%
0.001 3
 
0.6%
0.0011 1
 
0.2%
ValueCountFrequency (%)
50.4841 1
0.2%
18.8848 1
0.2%
12.7319 1
0.2%
7.5146 1
0.2%
5.4468 1
0.2%
4.2442 1
0.2%
4.2309 1
0.2%
4.2233 1
0.2%
4.1684 1
0.2%
4.0491 1
0.2%

남자35~39세(M35)
Real number (ℝ)

ZEROS 

Distinct380
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3052426
Minimum0
Maximum5.8556
Zeros39
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:39.296029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00645
median0.04755
Q30.29705
95-th percentile1.51451
Maximum5.8556
Range5.8556
Interquartile range (IQR)0.2906

Descriptive statistics

Standard deviation0.62717332
Coefficient of variation (CV)2.0546717
Kurtosis21.414022
Mean0.3052426
Median Absolute Deviation (MAD)0.0466
Skewness3.9170515
Sum152.6213
Variance0.39334637
MonotonicityNot monotonic
2023-12-10T23:51:39.486667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
7.8%
0.0023 6
 
1.2%
0.0017 4
 
0.8%
0.0033 4
 
0.8%
0.0245 3
 
0.6%
0.0083 3
 
0.6%
0.0046 3
 
0.6%
0.0052 3
 
0.6%
0.0065 3
 
0.6%
0.0012 3
 
0.6%
Other values (370) 429
85.8%
ValueCountFrequency (%)
0.0 39
7.8%
0.0002 1
 
0.2%
0.0003 3
 
0.6%
0.0004 1
 
0.2%
0.0005 2
 
0.4%
0.0006 1
 
0.2%
0.0008 3
 
0.6%
0.0009 3
 
0.6%
0.001 1
 
0.2%
0.0011 3
 
0.6%
ValueCountFrequency (%)
5.8556 1
0.2%
4.519 1
0.2%
4.1736 1
0.2%
3.4915 1
0.2%
2.787 1
0.2%
2.6879 1
0.2%
2.4447 1
0.2%
2.4282 1
0.2%
2.3141 1
0.2%
2.3057 1
0.2%

남자40~44세(M40)
Real number (ℝ)

ZEROS 

Distinct363
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.321897
Minimum0
Maximum8.8868
Zeros50
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:39.647994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00445
median0.0441
Q30.255275
95-th percentile1.689855
Maximum8.8868
Range8.8868
Interquartile range (IQR)0.250825

Descriptive statistics

Standard deviation0.85744897
Coefficient of variation (CV)2.6637371
Kurtosis39.736504
Mean0.321897
Median Absolute Deviation (MAD)0.0432
Skewness5.5552197
Sum160.9485
Variance0.73521874
MonotonicityNot monotonic
2023-12-10T23:51:39.808688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
10.0%
0.0024 5
 
1.0%
0.0013 5
 
1.0%
0.0029 4
 
0.8%
0.0027 4
 
0.8%
0.0018 4
 
0.8%
0.0042 4
 
0.8%
0.0009 4
 
0.8%
0.0014 4
 
0.8%
0.0033 4
 
0.8%
Other values (353) 412
82.4%
ValueCountFrequency (%)
0.0 50
10.0%
0.0002 1
 
0.2%
0.0005 1
 
0.2%
0.0007 2
 
0.4%
0.0008 1
 
0.2%
0.0009 4
 
0.8%
0.001 4
 
0.8%
0.0012 3
 
0.6%
0.0013 5
 
1.0%
0.0014 4
 
0.8%
ValueCountFrequency (%)
8.8868 1
0.2%
7.2982 1
0.2%
7.1442 1
0.2%
4.6531 1
0.2%
4.2741 1
0.2%
3.9943 1
0.2%
3.9282 1
0.2%
3.3972 1
0.2%
3.2799 1
0.2%
3.1987 1
0.2%

남자45~49세(M45)
Real number (ℝ)

ZEROS 

Distinct388
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3870054
Minimum0
Maximum10.8028
Zeros51
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:39.978628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0076
median0.0546
Q30.2911
95-th percentile1.571375
Maximum10.8028
Range10.8028
Interquartile range (IQR)0.2835

Descriptive statistics

Standard deviation1.0726176
Coefficient of variation (CV)2.771583
Kurtosis39.233572
Mean0.3870054
Median Absolute Deviation (MAD)0.054
Skewness5.7412633
Sum193.5027
Variance1.1505085
MonotonicityNot monotonic
2023-12-10T23:51:40.148177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
 
10.2%
0.0003 6
 
1.2%
0.001 6
 
1.2%
0.0092 5
 
1.0%
0.0007 4
 
0.8%
0.0024 4
 
0.8%
0.1547 3
 
0.6%
0.0015 3
 
0.6%
0.0129 3
 
0.6%
0.0005 3
 
0.6%
Other values (378) 412
82.4%
ValueCountFrequency (%)
0.0 51
10.2%
0.0003 6
 
1.2%
0.0005 3
 
0.6%
0.0007 4
 
0.8%
0.0009 2
 
0.4%
0.001 6
 
1.2%
0.0012 2
 
0.4%
0.0013 2
 
0.4%
0.0014 1
 
0.2%
0.0015 3
 
0.6%
ValueCountFrequency (%)
10.8028 1
0.2%
8.1901 1
0.2%
8.0877 1
0.2%
7.782 1
0.2%
7.0258 1
0.2%
6.6518 1
0.2%
5.661 1
0.2%
5.147 1
0.2%
4.4478 1
0.2%
3.965 1
0.2%

남자50~54세(M50)
Real number (ℝ)

ZEROS 

Distinct376
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3340902
Minimum0
Maximum11.7541
Zeros44
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:40.359379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0071
median0.04665
Q30.20455
95-th percentile1.458295
Maximum11.7541
Range11.7541
Interquartile range (IQR)0.19745

Descriptive statistics

Standard deviation0.97232983
Coefficient of variation (CV)2.9103812
Kurtosis54.953854
Mean0.3340902
Median Absolute Deviation (MAD)0.04545
Skewness6.4571423
Sum167.0451
Variance0.94542529
MonotonicityNot monotonic
2023-12-10T23:51:40.977822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
8.8%
0.0071 5
 
1.0%
0.0065 4
 
0.8%
0.0015 4
 
0.8%
0.0005 4
 
0.8%
0.0116 3
 
0.6%
0.0006 3
 
0.6%
0.0031 3
 
0.6%
0.0023 3
 
0.6%
0.014 3
 
0.6%
Other values (366) 424
84.8%
ValueCountFrequency (%)
0.0 44
8.8%
0.0002 2
 
0.4%
0.0004 2
 
0.4%
0.0005 4
 
0.8%
0.0006 3
 
0.6%
0.0007 1
 
0.2%
0.0008 3
 
0.6%
0.0009 3
 
0.6%
0.001 1
 
0.2%
0.0012 3
 
0.6%
ValueCountFrequency (%)
11.7541 1
0.2%
8.4614 1
0.2%
6.2755 1
0.2%
5.3729 1
0.2%
5.2371 1
0.2%
4.9206 1
0.2%
4.6672 1
0.2%
4.4222 1
0.2%
3.8905 1
0.2%
3.8692 1
0.2%

남자55~59세(M55)
Real number (ℝ)

ZEROS 

Distinct366
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.263232
Minimum0
Maximum7.2568
Zeros57
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:41.140723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0064
median0.0366
Q30.19685
95-th percentile1.271795
Maximum7.2568
Range7.2568
Interquartile range (IQR)0.19045

Descriptive statistics

Standard deviation0.65837445
Coefficient of variation (CV)2.5011186
Kurtosis43.430299
Mean0.263232
Median Absolute Deviation (MAD)0.0366
Skewness5.6188891
Sum131.616
Variance0.43345691
MonotonicityNot monotonic
2023-12-10T23:51:41.346060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
11.4%
0.0014 5
 
1.0%
0.0057 4
 
0.8%
0.0122 4
 
0.8%
0.0018 4
 
0.8%
0.0016 3
 
0.6%
0.0064 3
 
0.6%
0.0176 3
 
0.6%
0.0128 3
 
0.6%
0.001 3
 
0.6%
Other values (356) 411
82.2%
ValueCountFrequency (%)
0.0 57
11.4%
0.0003 1
 
0.2%
0.0005 1
 
0.2%
0.0006 1
 
0.2%
0.0008 3
 
0.6%
0.001 3
 
0.6%
0.0012 1
 
0.2%
0.0013 1
 
0.2%
0.0014 5
 
1.0%
0.0015 3
 
0.6%
ValueCountFrequency (%)
7.2568 1
0.2%
6.2084 1
0.2%
4.0135 1
0.2%
3.4271 1
0.2%
3.2575 1
0.2%
2.9621 1
0.2%
2.8665 1
0.2%
2.5865 1
0.2%
2.5456 1
0.2%
2.5347 1
0.2%

남자60~64세(M60)
Real number (ℝ)

ZEROS 

Distinct333
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2482948
Minimum0
Maximum8.4742
Zeros94
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:41.540492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0027
median0.02945
Q30.17285
95-th percentile1.04125
Maximum8.4742
Range8.4742
Interquartile range (IQR)0.17015

Descriptive statistics

Standard deviation0.746927
Coefficient of variation (CV)3.0082265
Kurtosis52.599007
Mean0.2482948
Median Absolute Deviation (MAD)0.02945
Skewness6.5476024
Sum124.1474
Variance0.55789994
MonotonicityNot monotonic
2023-12-10T23:51:41.700396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
 
18.8%
0.0065 5
 
1.0%
0.0054 4
 
0.8%
0.0069 4
 
0.8%
0.1943 4
 
0.8%
0.0009 3
 
0.6%
0.0153 3
 
0.6%
0.0366 3
 
0.6%
0.0014 3
 
0.6%
0.0093 3
 
0.6%
Other values (323) 374
74.8%
ValueCountFrequency (%)
0.0 94
18.8%
0.0005 1
 
0.2%
0.0006 2
 
0.4%
0.0007 1
 
0.2%
0.0008 3
 
0.6%
0.0009 3
 
0.6%
0.001 2
 
0.4%
0.0012 1
 
0.2%
0.0013 1
 
0.2%
0.0014 3
 
0.6%
ValueCountFrequency (%)
8.4742 1
0.2%
6.6525 1
0.2%
5.237 1
0.2%
5.0856 1
0.2%
4.9621 1
0.2%
4.2244 1
0.2%
4.0178 1
0.2%
2.8984 1
0.2%
2.7742 1
0.2%
2.373 1
0.2%

남자65~69세(M65)
Real number (ℝ)

ZEROS 

Distinct307
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1227462
Minimum0
Maximum3.8046
Zeros112
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:41.887729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0011
median0.01295
Q30.088325
95-th percentile0.6086
Maximum3.8046
Range3.8046
Interquartile range (IQR)0.087225

Descriptive statistics

Standard deviation0.3515182
Coefficient of variation (CV)2.8637807
Kurtosis50.529502
Mean0.1227462
Median Absolute Deviation (MAD)0.01295
Skewness6.2616447
Sum61.3731
Variance0.12356505
MonotonicityNot monotonic
2023-12-10T23:51:42.095611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 112
 
22.4%
0.0045 6
 
1.2%
0.0018 6
 
1.2%
0.0046 5
 
1.0%
0.002 5
 
1.0%
0.0107 4
 
0.8%
0.0027 3
 
0.6%
0.0064 3
 
0.6%
0.0024 3
 
0.6%
0.0055 3
 
0.6%
Other values (297) 350
70.0%
ValueCountFrequency (%)
0.0 112
22.4%
0.0002 1
 
0.2%
0.0003 1
 
0.2%
0.0005 1
 
0.2%
0.0007 2
 
0.4%
0.0008 2
 
0.4%
0.0009 3
 
0.6%
0.001 2
 
0.4%
0.0011 2
 
0.4%
0.0014 2
 
0.4%
ValueCountFrequency (%)
3.8046 1
0.2%
3.5655 1
0.2%
2.5976 1
0.2%
2.1004 1
0.2%
1.6478 1
0.2%
1.6368 1
0.2%
1.5421 1
0.2%
1.3024 1
0.2%
1.2958 1
0.2%
1.2071 1
0.2%

남자70세이상(M70)
Real number (ℝ)

ZEROS 

Distinct318
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1930062
Minimum0
Maximum11.8589
Zeros101
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:42.294733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001475
median0.01765
Q30.099525
95-th percentile0.701885
Maximum11.8589
Range11.8589
Interquartile range (IQR)0.09805

Descriptive statistics

Standard deviation0.78543468
Coefficient of variation (CV)4.069479
Kurtosis119.81372
Mean0.1930062
Median Absolute Deviation (MAD)0.01765
Skewness9.7316735
Sum96.5031
Variance0.61690763
MonotonicityNot monotonic
2023-12-10T23:51:42.453841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
 
20.2%
0.0074 6
 
1.2%
0.0057 5
 
1.0%
0.0055 5
 
1.0%
0.0059 4
 
0.8%
0.0064 4
 
0.8%
0.0094 4
 
0.8%
0.0045 4
 
0.8%
0.0004 4
 
0.8%
0.0062 4
 
0.8%
Other values (308) 359
71.8%
ValueCountFrequency (%)
0.0 101
20.2%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0003 2
 
0.4%
0.0004 4
 
0.8%
0.0005 3
 
0.6%
0.0006 1
 
0.2%
0.0007 1
 
0.2%
0.0008 3
 
0.6%
0.0009 4
 
0.8%
ValueCountFrequency (%)
11.8589 1
0.2%
7.7704 1
0.2%
5.3373 1
0.2%
3.9884 1
0.2%
3.3199 1
0.2%
3.0993 1
0.2%
2.55 1
0.2%
2.5317 1
0.2%
2.4177 1
0.2%
2.2767 1
0.2%

여자00~04세(F00)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0009042
Minimum0
Maximum0.0426
Zeros301
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:42.622919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0005
95-th percentile0.0043
Maximum0.0426
Range0.0426
Interquartile range (IQR)0.0005

Descriptive statistics

Standard deviation0.0029906739
Coefficient of variation (CV)3.3075359
Kurtosis87.807332
Mean0.0009042
Median Absolute Deviation (MAD)0
Skewness7.9256767
Sum0.4521
Variance8.9441306 × 10-6
MonotonicityNot monotonic
2023-12-10T23:51:42.789213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 301
60.2%
0.0001 31
 
6.2%
0.0004 16
 
3.2%
0.0002 14
 
2.8%
0.0007 12
 
2.4%
0.001 10
 
2.0%
0.0003 10
 
2.0%
0.0006 9
 
1.8%
0.0009 7
 
1.4%
0.0008 5
 
1.0%
Other values (48) 85
 
17.0%
ValueCountFrequency (%)
0.0 301
60.2%
0.0001 31
 
6.2%
0.0002 14
 
2.8%
0.0003 10
 
2.0%
0.0004 16
 
3.2%
0.0005 4
 
0.8%
0.0006 9
 
1.8%
0.0007 12
 
2.4%
0.0008 5
 
1.0%
0.0009 7
 
1.4%
ValueCountFrequency (%)
0.0426 1
0.2%
0.0237 1
0.2%
0.0192 1
0.2%
0.0164 1
0.2%
0.0163 1
0.2%
0.0122 1
0.2%
0.011 1
0.2%
0.0101 1
0.2%
0.0096 1
0.2%
0.0093 1
0.2%

여자05~09세(F05)
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0084022
Minimum0
Maximum0.4146
Zeros289
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:42.966625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003225
95-th percentile0.03725
Maximum0.4146
Range0.4146
Interquartile range (IQR)0.003225

Descriptive statistics

Standard deviation0.030233445
Coefficient of variation (CV)3.5982773
Kurtosis84.596286
Mean0.0084022
Median Absolute Deviation (MAD)0
Skewness8.039772
Sum4.2011
Variance0.00091406122
MonotonicityNot monotonic
2023-12-10T23:51:43.153252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 289
57.8%
0.0013 13
 
2.6%
0.0011 11
 
2.2%
0.0017 6
 
1.2%
0.0006 5
 
1.0%
0.0016 5
 
1.0%
0.0003 5
 
1.0%
0.0008 4
 
0.8%
0.0045 3
 
0.6%
0.0031 3
 
0.6%
Other values (125) 156
31.2%
ValueCountFrequency (%)
0.0 289
57.8%
0.0001 1
 
0.2%
0.0002 2
 
0.4%
0.0003 5
 
1.0%
0.0005 2
 
0.4%
0.0006 5
 
1.0%
0.0007 3
 
0.6%
0.0008 4
 
0.8%
0.0009 2
 
0.4%
0.001 2
 
0.4%
ValueCountFrequency (%)
0.4146 1
0.2%
0.2645 1
0.2%
0.2424 1
0.2%
0.1502 1
0.2%
0.1457 1
0.2%
0.1244 1
0.2%
0.1237 1
0.2%
0.1102 2
0.4%
0.1044 1
0.2%
0.09 1
0.2%

여자10~14세(F10)
Real number (ℝ)

ZEROS 

Distinct254
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0496536
Minimum0
Maximum1.7282
Zeros186
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:43.363189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0054
Q30.0411
95-th percentile0.22665
Maximum1.7282
Range1.7282
Interquartile range (IQR)0.0411

Descriptive statistics

Standard deviation0.14005156
Coefficient of variation (CV)2.8205721
Kurtosis64.641639
Mean0.0496536
Median Absolute Deviation (MAD)0.0054
Skewness7.0183398
Sum24.8268
Variance0.019614439
MonotonicityNot monotonic
2023-12-10T23:51:43.560567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 186
37.2%
0.002 5
 
1.0%
0.0144 4
 
0.8%
0.0012 4
 
0.8%
0.0003 4
 
0.8%
0.0009 4
 
0.8%
0.0036 4
 
0.8%
0.0027 3
 
0.6%
0.0021 3
 
0.6%
0.0026 3
 
0.6%
Other values (244) 280
56.0%
ValueCountFrequency (%)
0.0 186
37.2%
0.0002 2
 
0.4%
0.0003 4
 
0.8%
0.0006 2
 
0.4%
0.0007 2
 
0.4%
0.0009 4
 
0.8%
0.001 1
 
0.2%
0.0011 1
 
0.2%
0.0012 4
 
0.8%
0.0013 1
 
0.2%
ValueCountFrequency (%)
1.7282 1
0.2%
1.307 1
0.2%
1.1332 1
0.2%
0.9452 1
0.2%
0.6116 1
0.2%
0.5527 1
0.2%
0.5484 1
0.2%
0.4785 1
0.2%
0.4455 1
0.2%
0.4302 1
0.2%

여자15~19세(F15)
Real number (ℝ)

ZEROS 

Distinct321
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17963
Minimum0
Maximum8.058
Zeros91
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:43.728423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001275
median0.0186
Q30.11095
95-th percentile0.66358
Maximum8.058
Range8.058
Interquartile range (IQR)0.109675

Descriptive statistics

Standard deviation0.57180414
Coefficient of variation (CV)3.183233
Kurtosis85.17385
Mean0.17963
Median Absolute Deviation (MAD)0.0186
Skewness7.9370162
Sum89.815
Variance0.32695997
MonotonicityNot monotonic
2023-12-10T23:51:43.902717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
 
18.2%
0.0008 12
 
2.4%
0.001 7
 
1.4%
0.0057 5
 
1.0%
0.0011 5
 
1.0%
0.0013 5
 
1.0%
0.0071 5
 
1.0%
0.0048 5
 
1.0%
0.0018 4
 
0.8%
0.0045 4
 
0.8%
Other values (311) 357
71.4%
ValueCountFrequency (%)
0.0 91
18.2%
0.0002 2
 
0.4%
0.0004 3
 
0.6%
0.0005 1
 
0.2%
0.0007 2
 
0.4%
0.0008 12
 
2.4%
0.0009 1
 
0.2%
0.001 7
 
1.4%
0.0011 5
 
1.0%
0.0012 1
 
0.2%
ValueCountFrequency (%)
8.058 1
0.2%
4.3447 1
0.2%
3.6744 1
0.2%
3.5278 1
0.2%
3.0065 1
0.2%
2.7149 1
0.2%
2.4553 1
0.2%
2.3623 2
0.4%
2.3521 1
0.2%
1.9237 1
0.2%

여자20~24세(F20)
Real number (ℝ)

ZEROS 

Distinct355
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7310774
Minimum0
Maximum51.3507
Zeros71
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:44.073740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00415
median0.05565
Q30.3614
95-th percentile3.199985
Maximum51.3507
Range51.3507
Interquartile range (IQR)0.35725

Descriptive statistics

Standard deviation3.0475172
Coefficient of variation (CV)4.1685288
Kurtosis165.26083
Mean0.7310774
Median Absolute Deviation (MAD)0.05565
Skewness11.341555
Sum365.5387
Variance9.2873608
MonotonicityNot monotonic
2023-12-10T23:51:44.265717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
 
14.2%
0.001 7
 
1.4%
0.0046 5
 
1.0%
0.0008 5
 
1.0%
0.0012 4
 
0.8%
0.0137 4
 
0.8%
0.002 4
 
0.8%
0.0057 4
 
0.8%
0.0086 4
 
0.8%
0.0023 4
 
0.8%
Other values (345) 388
77.6%
ValueCountFrequency (%)
0.0 71
14.2%
0.0003 1
 
0.2%
0.0004 1
 
0.2%
0.0005 2
 
0.4%
0.0006 2
 
0.4%
0.0008 5
 
1.0%
0.0009 1
 
0.2%
0.001 7
 
1.4%
0.0012 4
 
0.8%
0.0014 1
 
0.2%
ValueCountFrequency (%)
51.3507 1
0.2%
24.9147 1
0.2%
21.1639 1
0.2%
15.2388 1
0.2%
10.0314 1
0.2%
9.9981 1
0.2%
8.6836 1
0.2%
7.7437 1
0.2%
6.9729 1
0.2%
6.5144 1
0.2%

여자25~29세(F25)
Real number (ℝ)

ZEROS 

Distinct374
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5156244
Minimum0
Maximum26.8823
Zeros75
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:44.429344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00525
median0.0505
Q30.316075
95-th percentile2.49484
Maximum26.8823
Range26.8823
Interquartile range (IQR)0.310825

Descriptive statistics

Standard deviation1.7836312
Coefficient of variation (CV)3.4591675
Kurtosis108.68003
Mean0.5156244
Median Absolute Deviation (MAD)0.0505
Skewness8.9766356
Sum257.8122
Variance3.1813401
MonotonicityNot monotonic
2023-12-10T23:51:44.616688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 75
 
15.0%
0.0013 5
 
1.0%
0.0059 5
 
1.0%
0.0012 4
 
0.8%
0.0217 3
 
0.6%
0.0008 3
 
0.6%
0.0126 3
 
0.6%
0.0095 3
 
0.6%
0.0218 3
 
0.6%
0.0006 3
 
0.6%
Other values (364) 393
78.6%
ValueCountFrequency (%)
0.0 75
15.0%
0.0002 2
 
0.4%
0.0003 1
 
0.2%
0.0004 2
 
0.4%
0.0005 2
 
0.4%
0.0006 3
 
0.6%
0.0008 3
 
0.6%
0.001 2
 
0.4%
0.0011 1
 
0.2%
0.0012 4
 
0.8%
ValueCountFrequency (%)
26.8823 1
0.2%
13.2307 1
0.2%
12.8948 1
0.2%
11.7286 1
0.2%
7.4826 1
0.2%
7.0247 1
0.2%
6.1725 1
0.2%
5.3849 1
0.2%
5.3125 1
0.2%
5.2889 1
0.2%

여자30~34세(F30)
Real number (ℝ)

ZEROS 

Distinct359
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.465193
Minimum0
Maximum30.2575
Zeros69
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:44.797807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0048
median0.03765
Q30.26015
95-th percentile1.76163
Maximum30.2575
Range30.2575
Interquartile range (IQR)0.25535

Descriptive statistics

Standard deviation1.978762
Coefficient of variation (CV)4.2536366
Kurtosis125.11048
Mean0.465193
Median Absolute Deviation (MAD)0.03765
Skewness10.122159
Sum232.5965
Variance3.9154989
MonotonicityNot monotonic
2023-12-10T23:51:45.002125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
13.8%
0.0018 7
 
1.4%
0.002 6
 
1.2%
0.0062 5
 
1.0%
0.0083 5
 
1.0%
0.0015 5
 
1.0%
0.0092 4
 
0.8%
0.0033 3
 
0.6%
0.0065 3
 
0.6%
0.0103 3
 
0.6%
Other values (349) 390
78.0%
ValueCountFrequency (%)
0.0 69
13.8%
0.0002 1
 
0.2%
0.0004 1
 
0.2%
0.0005 1
 
0.2%
0.0008 1
 
0.2%
0.0009 3
 
0.6%
0.001 3
 
0.6%
0.0011 1
 
0.2%
0.0014 1
 
0.2%
0.0015 5
 
1.0%
ValueCountFrequency (%)
30.2575 1
0.2%
17.1814 1
0.2%
15.7895 1
0.2%
14.0181 1
0.2%
10.2323 1
0.2%
7.5224 1
0.2%
5.7477 1
0.2%
5.3377 1
0.2%
4.5143 1
0.2%
4.4787 1
0.2%

여자35~39세(F35)
Real number (ℝ)

ZEROS 

Distinct355
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3209672
Minimum0
Maximum6.3916
Zeros78
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:45.195852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003075
median0.04065
Q30.22175
95-th percentile1.46106
Maximum6.3916
Range6.3916
Interquartile range (IQR)0.218675

Descriptive statistics

Standard deviation0.80985423
Coefficient of variation (CV)2.5231682
Kurtosis25.37828
Mean0.3209672
Median Absolute Deviation (MAD)0.04065
Skewness4.6479527
Sum160.4836
Variance0.65586388
MonotonicityNot monotonic
2023-12-10T23:51:45.812828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
 
15.6%
0.0013 6
 
1.2%
0.0023 4
 
0.8%
0.0025 4
 
0.8%
0.0012 4
 
0.8%
0.0069 4
 
0.8%
0.001 3
 
0.6%
0.0003 3
 
0.6%
0.0074 3
 
0.6%
0.0015 3
 
0.6%
Other values (345) 388
77.6%
ValueCountFrequency (%)
0.0 78
15.6%
0.0003 3
 
0.6%
0.0007 3
 
0.6%
0.0008 2
 
0.4%
0.001 3
 
0.6%
0.0012 4
 
0.8%
0.0013 6
 
1.2%
0.0014 1
 
0.2%
0.0015 3
 
0.6%
0.0016 2
 
0.4%
ValueCountFrequency (%)
6.3916 1
0.2%
6.099 1
0.2%
5.8948 1
0.2%
5.8071 1
0.2%
5.3314 1
0.2%
4.358 1
0.2%
3.6897 1
0.2%
3.644 1
0.2%
3.5948 1
0.2%
3.3322 1
0.2%

여자40~44세(F40)
Real number (ℝ)

ZEROS 

Distinct342
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.255308
Minimum0
Maximum7.378
Zeros71
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:45.977713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003775
median0.03165
Q30.17685
95-th percentile1.357905
Maximum7.378
Range7.378
Interquartile range (IQR)0.173075

Descriptive statistics

Standard deviation0.63251352
Coefficient of variation (CV)2.4774528
Kurtosis39.427828
Mean0.255308
Median Absolute Deviation (MAD)0.03165
Skewness5.1826067
Sum127.654
Variance0.40007336
MonotonicityNot monotonic
2023-12-10T23:51:46.161689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
 
14.2%
0.0048 7
 
1.4%
0.001 6
 
1.2%
0.005 5
 
1.0%
0.0006 5
 
1.0%
0.0008 5
 
1.0%
0.0054 4
 
0.8%
0.0083 4
 
0.8%
0.034 3
 
0.6%
0.0043 3
 
0.6%
Other values (332) 387
77.4%
ValueCountFrequency (%)
0.0 71
14.2%
0.0002 1
 
0.2%
0.0004 1
 
0.2%
0.0005 2
 
0.4%
0.0006 5
 
1.0%
0.0007 2
 
0.4%
0.0008 5
 
1.0%
0.0009 2
 
0.4%
0.001 6
 
1.2%
0.0012 2
 
0.4%
ValueCountFrequency (%)
7.378 1
0.2%
3.9241 1
0.2%
3.4131 1
0.2%
3.3372 1
0.2%
3.1035 1
0.2%
2.9135 1
0.2%
2.8791 1
0.2%
2.7709 1
0.2%
2.7424 1
0.2%
2.7339 1
0.2%

여자45~49세(F45)
Real number (ℝ)

ZEROS 

Distinct369
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2904492
Minimum0
Maximum8.096
Zeros57
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:46.360341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00725
median0.03795
Q30.229525
95-th percentile1.443225
Maximum8.096
Range8.096
Interquartile range (IQR)0.222275

Descriptive statistics

Standard deviation0.76053517
Coefficient of variation (CV)2.6184791
Kurtosis39.163373
Mean0.2904492
Median Absolute Deviation (MAD)0.03795
Skewness5.5500378
Sum145.2246
Variance0.57841375
MonotonicityNot monotonic
2023-12-10T23:51:46.549509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
11.4%
0.001 9
 
1.8%
0.0017 6
 
1.2%
0.0098 5
 
1.0%
0.0195 4
 
0.8%
0.0092 4
 
0.8%
0.0149 4
 
0.8%
0.0003 4
 
0.8%
0.0006 4
 
0.8%
0.0289 3
 
0.6%
Other values (359) 400
80.0%
ValueCountFrequency (%)
0.0 57
11.4%
0.0002 2
 
0.4%
0.0003 4
 
0.8%
0.0005 1
 
0.2%
0.0006 4
 
0.8%
0.0008 2
 
0.4%
0.0009 2
 
0.4%
0.001 9
 
1.8%
0.0012 2
 
0.4%
0.0013 2
 
0.4%
ValueCountFrequency (%)
8.096 1
0.2%
5.5998 1
0.2%
5.5838 1
0.2%
5.1304 1
0.2%
5.0074 1
0.2%
4.2127 1
0.2%
3.4519 1
0.2%
3.3011 1
0.2%
2.804 1
0.2%
2.6694 1
0.2%

여자50~54세(F50)
Real number (ℝ)

ZEROS 

Distinct341
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.315301
Minimum0
Maximum10.8425
Zeros86
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:46.742919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00355
median0.0209
Q30.209925
95-th percentile1.43956
Maximum10.8425
Range10.8425
Interquartile range (IQR)0.206375

Descriptive statistics

Standard deviation0.90425856
Coefficient of variation (CV)2.8679216
Kurtosis60.46745
Mean0.315301
Median Absolute Deviation (MAD)0.0209
Skewness6.6964539
Sum157.6505
Variance0.81768354
MonotonicityNot monotonic
2023-12-10T23:51:46.914681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 86
 
17.2%
0.0048 6
 
1.2%
0.008 5
 
1.0%
0.0045 4
 
0.8%
0.0184 4
 
0.8%
0.0033 4
 
0.8%
0.004 3
 
0.6%
0.0058 3
 
0.6%
0.0017 3
 
0.6%
0.0005 3
 
0.6%
Other values (331) 379
75.8%
ValueCountFrequency (%)
0.0 86
17.2%
0.0001 1
 
0.2%
0.0003 2
 
0.4%
0.0004 2
 
0.4%
0.0005 3
 
0.6%
0.0006 1
 
0.2%
0.0007 2
 
0.4%
0.0008 2
 
0.4%
0.0009 1
 
0.2%
0.001 1
 
0.2%
ValueCountFrequency (%)
10.8425 1
0.2%
9.3061 1
0.2%
4.8445 1
0.2%
4.7424 1
0.2%
4.7176 1
0.2%
4.3121 1
0.2%
3.9863 1
0.2%
3.7973 1
0.2%
3.5171 1
0.2%
2.8995 1
0.2%

여자55~59세(F55)
Real number (ℝ)

ZEROS 

Distinct377
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.330931
Minimum0
Maximum9.7997
Zeros45
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:47.081103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0062
median0.0399
Q30.2322
95-th percentile1.582605
Maximum9.7997
Range9.7997
Interquartile range (IQR)0.226

Descriptive statistics

Standard deviation0.93844351
Coefficient of variation (CV)2.8357679
Kurtosis45.390347
Mean0.330931
Median Absolute Deviation (MAD)0.0393
Skewness6.0750109
Sum165.4655
Variance0.88067623
MonotonicityNot monotonic
2023-12-10T23:51:47.247838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
 
9.0%
0.0023 8
 
1.6%
0.0014 8
 
1.6%
0.0109 7
 
1.4%
0.0078 4
 
0.8%
0.0039 4
 
0.8%
0.0079 4
 
0.8%
0.0068 4
 
0.8%
0.002 3
 
0.6%
0.0028 3
 
0.6%
Other values (367) 410
82.0%
ValueCountFrequency (%)
0.0 45
9.0%
0.0003 1
 
0.2%
0.0004 1
 
0.2%
0.0006 2
 
0.4%
0.0007 2
 
0.4%
0.0008 2
 
0.4%
0.0009 1
 
0.2%
0.001 3
 
0.6%
0.0011 1
 
0.2%
0.0012 1
 
0.2%
ValueCountFrequency (%)
9.7997 1
0.2%
8.4787 1
0.2%
7.1146 1
0.2%
7.0394 1
0.2%
5.6269 1
0.2%
4.6956 1
0.2%
4.1964 1
0.2%
3.791 1
0.2%
3.6226 1
0.2%
3.4094 1
0.2%

여자60~64세(F60)
Real number (ℝ)

ZEROS 

Distinct325
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.163789
Minimum0
Maximum5.1153
Zeros75
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:47.422488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002675
median0.02125
Q30.125425
95-th percentile0.674445
Maximum5.1153
Range5.1153
Interquartile range (IQR)0.12275

Descriptive statistics

Standard deviation0.47266586
Coefficient of variation (CV)2.8858217
Kurtosis53.393961
Mean0.163789
Median Absolute Deviation (MAD)0.02125
Skewness6.6441484
Sum81.8945
Variance0.22341301
MonotonicityNot monotonic
2023-12-10T23:51:47.573569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 75
 
15.0%
0.001 8
 
1.6%
0.0014 7
 
1.4%
0.0018 6
 
1.2%
0.0031 5
 
1.0%
0.0043 4
 
0.8%
0.0051 4
 
0.8%
0.0367 4
 
0.8%
0.0011 4
 
0.8%
0.0027 4
 
0.8%
Other values (315) 379
75.8%
ValueCountFrequency (%)
0.0 75
15.0%
0.0001 1
 
0.2%
0.0003 3
 
0.6%
0.0004 1
 
0.2%
0.0006 2
 
0.4%
0.001 8
 
1.6%
0.0011 4
 
0.8%
0.0012 2
 
0.4%
0.0014 7
 
1.4%
0.0015 3
 
0.6%
ValueCountFrequency (%)
5.1153 1
0.2%
4.439 1
0.2%
3.7356 1
0.2%
3.7014 1
0.2%
3.0775 1
0.2%
2.5598 1
0.2%
1.9576 1
0.2%
1.7773 1
0.2%
1.5267 1
0.2%
1.277 1
0.2%

여자65~69세(F65)
Real number (ℝ)

ZEROS 

Distinct281
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1647632
Minimum0
Maximum9.7613
Zeros120
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:47.740073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0005
median0.00985
Q30.07475
95-th percentile0.58147
Maximum9.7613
Range9.7613
Interquartile range (IQR)0.07425

Descriptive statistics

Standard deviation0.78157939
Coefficient of variation (CV)4.7436526
Kurtosis101.41248
Mean0.1647632
Median Absolute Deviation (MAD)0.00985
Skewness9.6015663
Sum82.3816
Variance0.61086634
MonotonicityNot monotonic
2023-12-10T23:51:47.894787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 120
 
24.0%
0.0005 7
 
1.4%
0.0012 7
 
1.4%
0.0055 6
 
1.2%
0.0008 5
 
1.0%
0.0018 5
 
1.0%
0.0033 5
 
1.0%
0.0045 5
 
1.0%
0.0023 4
 
0.8%
0.0036 4
 
0.8%
Other values (271) 332
66.4%
ValueCountFrequency (%)
0.0 120
24.0%
0.0003 1
 
0.2%
0.0004 1
 
0.2%
0.0005 7
 
1.4%
0.0006 1
 
0.2%
0.0007 3
 
0.6%
0.0008 5
 
1.0%
0.0009 2
 
0.4%
0.001 2
 
0.4%
0.0011 2
 
0.4%
ValueCountFrequency (%)
9.7613 1
0.2%
9.1098 1
0.2%
7.174 1
0.2%
6.6577 1
0.2%
2.7475 1
0.2%
2.7418 1
0.2%
2.3721 1
0.2%
2.0295 1
0.2%
1.9837 1
0.2%
1.0623 1
0.2%

여자70세이상(F70)
Real number (ℝ)

ZEROS 

Distinct310
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1668524
Minimum0
Maximum8.5821
Zeros105
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:48.046679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001175
median0.01635
Q30.09005
95-th percentile0.605595
Maximum8.5821
Range8.5821
Interquartile range (IQR)0.088875

Descriptive statistics

Standard deviation0.67926882
Coefficient of variation (CV)4.0710761
Kurtosis102.56843
Mean0.1668524
Median Absolute Deviation (MAD)0.01635
Skewness9.397173
Sum83.4262
Variance0.46140613
MonotonicityNot monotonic
2023-12-10T23:51:48.226964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
 
21.0%
0.0014 6
 
1.2%
0.0008 5
 
1.0%
0.0077 5
 
1.0%
0.002 4
 
0.8%
0.0064 4
 
0.8%
0.0083 3
 
0.6%
0.0068 3
 
0.6%
0.0025 3
 
0.6%
0.0062 3
 
0.6%
Other values (300) 359
71.8%
ValueCountFrequency (%)
0.0 105
21.0%
0.0001 1
 
0.2%
0.0003 1
 
0.2%
0.0005 1
 
0.2%
0.0006 3
 
0.6%
0.0007 3
 
0.6%
0.0008 5
 
1.0%
0.0009 2
 
0.4%
0.001 3
 
0.6%
0.0011 1
 
0.2%
ValueCountFrequency (%)
8.5821 1
0.2%
8.524 1
0.2%
5.1453 1
0.2%
4.3931 1
0.2%
3.852 1
0.2%
2.7509 1
0.2%
2.2134 1
0.2%
1.4586 1
0.2%
1.2723 1
0.2%
1.1995 1
0.2%

합계(TOTAL)
Real number (ℝ)

Distinct482
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.942827
Minimum0.0018
Maximum593.0315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:48.369994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0018
5-th percentile0.00919
Q10.1492
median0.8484
Q34.323275
95-th percentile29.79436
Maximum593.0315
Range593.0297
Interquartile range (IQR)4.174075

Descriptive statistics

Standard deviation38.804749
Coefficient of variation (CV)4.3392038
Kurtosis143.34859
Mean8.942827
Median Absolute Deviation (MAD)0.824
Skewness10.928712
Sum4471.4135
Variance1505.8086
MonotonicityNot monotonic
2023-12-10T23:51:48.537305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 3
 
0.6%
0.0066 3
 
0.6%
0.8995 2
 
0.4%
0.05 2
 
0.4%
0.0281 2
 
0.4%
0.0443 2
 
0.4%
0.0075 2
 
0.4%
0.0299 2
 
0.4%
0.0029 2
 
0.4%
0.8487 2
 
0.4%
Other values (472) 478
95.6%
ValueCountFrequency (%)
0.0018 1
0.2%
0.002 1
0.2%
0.0028 1
0.2%
0.0029 2
0.4%
0.0034 1
0.2%
0.0037 1
0.2%
0.0043 1
0.2%
0.0058 1
0.2%
0.0059 1
0.2%
0.006 1
0.2%
ValueCountFrequency (%)
593.0315 1
0.2%
466.9051 1
0.2%
192.8197 1
0.2%
174.5161 1
0.2%
154.1926 1
0.2%
141.6268 1
0.2%
138.8315 1
0.2%
109.3355 1
0.2%
106.8848 1
0.2%
95.0978 1
0.2%

행정동코드(ADMI_CD)
Real number (ℝ)

Distinct288
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11425503
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:48.699139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140580
Q111260655
median11425638
Q311590620
95-th percentile11710672
Maximum11740700
Range630185
Interquartile range (IQR)329965

Descriptive statistics

Standard deviation188313.07
Coefficient of variation (CV)0.016481818
Kurtosis-1.2191222
Mean11425503
Median Absolute Deviation (MAD)164982.5
Skewness0.050037509
Sum5.7127516 × 109
Variance3.5461811 × 1010
MonotonicityNot monotonic
2023-12-10T23:51:48.866646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11215830 5
 
1.0%
11230610 5
 
1.0%
11440710 5
 
1.0%
11260655 4
 
0.8%
11650581 4
 
0.8%
11170660 4
 
0.8%
11530560 4
 
0.8%
11350630 4
 
0.8%
11740580 4
 
0.8%
11290810 4
 
0.8%
Other values (278) 457
91.4%
ValueCountFrequency (%)
11110515 1
0.2%
11110530 1
0.2%
11110540 1
0.2%
11110560 1
0.2%
11110580 1
0.2%
11110615 1
0.2%
11110630 1
0.2%
11110640 2
0.4%
11110650 2
0.4%
11110670 1
0.2%
ValueCountFrequency (%)
11740700 2
0.4%
11740685 2
0.4%
11740660 2
0.4%
11740650 1
 
0.2%
11740610 3
0.6%
11740600 1
 
0.2%
11740590 2
0.4%
11740580 4
0.8%
11740570 1
 
0.2%
11740540 2
0.4%

기준년월(ETL_YM)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201660.47
Minimum201601
Maximum201801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:49.032333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201601
5-th percentile201602
Q1201607
median201612
Q3201707
95-th percentile201712
Maximum201801
Range200
Interquartile range (IQR)100

Descriptive statistics

Standard deviation57.486996
Coefficient of variation (CV)0.00028506824
Kurtosis-0.82643871
Mean201660.47
Median Absolute Deviation (MAD)11
Skewness0.46288672
Sum1.0083024 × 108
Variance3304.7547
MonotonicityNot monotonic
2023-12-10T23:51:49.177724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
201603 29
 
5.8%
201701 25
 
5.0%
201608 25
 
5.0%
201612 24
 
4.8%
201709 24
 
4.8%
201601 24
 
4.8%
201712 23
 
4.6%
201610 23
 
4.6%
201609 22
 
4.4%
201801 22
 
4.4%
Other values (15) 259
51.8%
ValueCountFrequency (%)
201601 24
4.8%
201602 16
3.2%
201603 29
5.8%
201604 17
3.4%
201605 14
2.8%
201606 20
4.0%
201607 18
3.6%
201608 25
5.0%
201609 22
4.4%
201610 23
4.6%
ValueCountFrequency (%)
201801 22
4.4%
201712 23
4.6%
201711 13
2.6%
201710 17
3.4%
201709 24
4.8%
201708 20
4.0%
201707 19
3.8%
201706 15
3.0%
201705 19
3.8%
201704 17
3.4%

Sample

셀id(ID)x좌표(X_COORD)y좌표(Y_COORD)요일(YOIL)시간대(TIMEZN_CD)남자00~04세(M00)남자05~09세(M05)남자10~14세(M10)남자15~19세(M15)남자20~24세(M20)남자25~29세(M25)남자30~34세(M30)남자35~39세(M35)남자40~44세(M40)남자45~49세(M45)남자50~54세(M50)남자55~59세(M55)남자60~64세(M60)남자65~69세(M65)남자70세이상(M70)여자00~04세(F00)여자05~09세(F05)여자10~14세(F10)여자15~19세(F15)여자20~24세(F20)여자25~29세(F25)여자30~34세(F30)여자35~39세(F35)여자40~44세(F40)여자45~49세(F45)여자50~54세(F50)여자55~59세(F55)여자60~64세(F60)여자65~69세(F65)여자70세이상(F70)합계(TOTAL)행정동코드(ADMI_CD)기준년월(ETL_YM)
05*0*3*5*199637.29496553456.6145564190.00.00.01160.00.018230.65550.04630.02450.00290.04334.92060.00380.19710.01030.34770.00220.00.00.0510.02310.02170.0020.02320.27920.0260.01760.03490.02540.00480.18440.899511110690201609
15*5*1*4*199036.800548552677.921537230.00090.00.00.00180.03610.15777.51460.00920.22110.01550.00.0520.42331.30240.01470.00.00.15860.07820.0010.00.04910.00.02520.04870.00.0310.71330.00.00620.023111500593201603
25*3*1*4*197545.398546552841.7292331120.00.00.01340.0080.2780.18770.14240.1360.0110.05970.0010.00280.19890.02720.01770.00010.00.06850.46480.76460.56410.18350.17120.00.22070.01120.04220.01360.00810.00240.025811680565201605
35*6*5*8*197124.706118556880.8642283120.00.00.00.11930.031.17722.06290.00.01420.04390.03810.00.08480.39070.03870.00.00.00.00.00.0520.23930.00.02240.00.01530.39020.0390.11830.14862.249411545510201710
45*1*6*7*196991.207275558246.1983031180.00.01730.00.00240.00.01.10982.44472.37290.00640.00.71480.00.0020.00990.00.00.24070.06050.26680.0340.28760.15910.00.00060.00.17370.00920.05140.15370.008511230610201706
55*0*1*1*196692.266973556981.9209992130.00010.00.00.02090.00160.00270.00.46510.00290.12140.36920.05390.02890.12550.00.00340.00370.0030.00080.00230.99760.05330.20730.00450.0020.00390.08720.11630.00.0143.573411380640201712
65*8*8*0*196588.022628552616.7653966230.00.00.01210.42320.04020.45950.04380.00.10710.00730.23660.46110.00.0110.04740.00010.00.00.02290.61850.00150.01440.00.08715.00741.53980.00330.00590.1740.01130.795611350710201801
75*4*0*0*195933.815628555397.4506963100.00.00.00670.02870.05510.06240.08170.01750.03050.02432.52960.60780.32810.18120.1730.00060.00.07290.001124.91470.01231.21990.06460.04980.05440.00470.16030.00.00120.01640.703211140580201712
85*6*8*0*196387.52441552803.999219130.00.10050.34070.00.06364.35540.35081.02720.00070.06460.90830.54910.07880.11590.00520.00410.0020.08340.26980.09790.03760.0260.00080.0260.01010.10920.00.0220.00090.00180.007711170700201604
95*2*9*0*196224.759526554516.647425650.00.00910.00190.04190.2060.62650.00030.00360.0022.94240.15710.02080.00.40340.00590.00.0040.04150.15670.00310.02180.00.62650.04510.01960.00.00920.00.63320.00270.040411320670201711
셀id(ID)x좌표(X_COORD)y좌표(Y_COORD)요일(YOIL)시간대(TIMEZN_CD)남자00~04세(M00)남자05~09세(M05)남자10~14세(M10)남자15~19세(M15)남자20~24세(M20)남자25~29세(M25)남자30~34세(M30)남자35~39세(M35)남자40~44세(M40)남자45~49세(M45)남자50~54세(M50)남자55~59세(M55)남자60~64세(M60)남자65~69세(M65)남자70세이상(M70)여자00~04세(F00)여자05~09세(F05)여자10~14세(F10)여자15~19세(F15)여자20~24세(F20)여자25~29세(F25)여자30~34세(F30)여자35~39세(F35)여자40~44세(F40)여자45~49세(F45)여자50~54세(F50)여자55~59세(F55)여자60~64세(F60)여자65~69세(F65)여자70세이상(F70)합계(TOTAL)행정동코드(ADMI_CD)기준년월(ETL_YM)
4905*4*7*5*197499.151864556909.0523086230.00.00.00041.06696.90940.00.00190.01990.00.40310.01120.00650.00170.00.00.00.00320.00160.00110.00650.22570.00180.00970.07590.01110.84250.0320.40330.0650.009817.751811260655201703
4915*8*2*8*196332.74027553485.352111580.00.00.02650.18380.03840.03620.0091.39230.12320.02220.00330.00370.01230.28080.00.00070.00.01310.03120.1420.75460.9980.21480.00.50170.74030.44990.05890.12470.11310.024511500603201606
4925*3*9*8*197027.363115553875.1921577100.00.02940.00.24871.71540.0010.69460.02751.23490.7880.04180.9330.01280.08810.00040.00290.00.00.34223.0941.50790.48530.15060.27920.09210.0080.00.05646.65770.00.598411620645201612
4935*2*8*6*197542.766498553717.228616660.00.00660.00270.10830.61670.21130.00060.32850.07880.03370.00920.0050.00.3050.00040.00270.00.10920.00.08090.26930.0330.09670.17630.00740.02891.07411.77730.00330.00.029511530780201602
4945*6*5*7*196776.316814552207.757406700.00270.00.00.00.00.13840.17430.20050.00131.67470.0040.14480.0630.05760.00.00.00.00150.50410.94430.00130.02990.00930.00.20890.01430.31330.00.06380.00.003411650652201705
4955*5*5*8*200120.788083553088.5263635230.00.00240.01610.08870.23180.00080.26190.31960.00470.01980.03030.00570.88680.00.02240.00.00780.02010.00.00460.04965.33770.00490.00540.00.01260.00950.19860.01670.00550.015611710631201603
4965*3*4*5*197452.877671555733.071002230.00.00.00.27666.99420.11150.00880.37280.01130.00890.01260.12690.00770.00.00.00010.07220.00.00080.05.38490.00830.03150.07060.00.00.35410.03360.00070.37940.017911530560201701
4975*4*2*2*198184.728585553232.140273670.00.00.15630.00.07570.39840.11890.00.00830.02.38510.19530.00.00.00230.00.00.11610.00330.18980.25020.00350.12130.01420.01160.08.47870.00510.16260.00.095311200540201610
4985*5*4*1*198577.79384554367.7198952200.00.00.00.00180.00.15180.01150.06190.02990.00.00710.00.07280.00180.38670.00.00.05880.04870.21040.73640.60470.0520.00460.00.9450.00.00.00690.65612.254111620615201602
4995*4*2*3*198215.589858553039.59211720.00.05270.22920.0680.00120.91260.34680.00930.03260.00.62560.3560.01610.00.73960.00030.12440.00.0390.00830.00050.01.09730.00590.00.00580.67660.1040.05640.011313.0911350670201604