Overview

Dataset statistics

Number of variables36
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory157.8 KiB
Average record size in memory323.3 B

Variable types

Numeric35
Categorical1

Alerts

등록일자(ldadng_dt) has constant value ""Constant
시간(tmzon_pd_se) has 14 (2.8%) zerosZeros
남자10~14세(male_f10t14_lvpop_co) has 480 (96.0%) zerosZeros
남자15~19세(male_f15t19_lvpop_co) has 446 (89.2%) zerosZeros
남자20~24세(male_f20t24_lvpop_co) has 366 (73.2%) zerosZeros
남자25~29세(male_f25t29_lvpop_co) has 314 (62.8%) zerosZeros
남자30~34세(male_f30t34_lvpop_co) has 334 (66.8%) zerosZeros
남자35~39세(male_f35t39_lvpop_co) has 368 (73.6%) zerosZeros
남자40~44세(male_f40t44_lvpop_co) has 349 (69.8%) zerosZeros
남자45~49세(male_f45t49_lvpop_co) has 332 (66.4%) zerosZeros
남자50~54세(male_f50t54_lvpop_co) has 319 (63.8%) zerosZeros
남자55~59세(male_f55t59_lvpop_co) has 345 (69.0%) zerosZeros
남자60~64세(male_f60t64_lvpop_co) has 342 (68.4%) zerosZeros
남자65~69세(male_f65t69_lvpop_co) has 402 (80.4%) zerosZeros
남자70~74세(male_f70t74_lvpop_co) has 431 (86.2%) zerosZeros
남자75~79세(male_f75t79_lvpop_co) has 462 (92.4%) zerosZeros
여자10~14세(female_f10t14_lvpop_co) has 479 (95.8%) zerosZeros
여자15~19세(female_f15t19_lvpop_co) has 447 (89.4%) zerosZeros
여자20~24세(female_f20t24_lvpop_co) has 328 (65.6%) zerosZeros
여자25~29세(female_f25t29_lvpop_co) has 328 (65.6%) zerosZeros
여자30~34세(female_f30t34_lvpop_co) has 380 (76.0%) zerosZeros
여자35~39세(female_f35t39_lvpop_co) has 397 (79.4%) zerosZeros
여자40~44세(female_f40t44_lvpop_co) has 389 (77.8%) zerosZeros
여자45~49세(female_f45t49_lvpop_co) has 393 (78.6%) zerosZeros
여자50~54세(female_f50t54_lvpop_co) has 387 (77.4%) zerosZeros
여자55~59세(female_f55t59_lvpop_co) has 386 (77.2%) zerosZeros
여자60~64세(female_f60t64_lvpop_co) has 378 (75.6%) zerosZeros
여자65~69세(female_f65t69_lvpop_co) has 419 (83.8%) zerosZeros
여자70~74세(female_f70t74_lvpop_co) has 454 (90.8%) zerosZeros
여자75~79세(female_f75t79_lvpop_co) has 472 (94.4%) zerosZeros
장기체류_외국인(lngtr_stay_frgnr_co) has 404 (80.8%) zerosZeros

Reproduction

Analysis started2024-01-14 06:49:23.859480
Analysis finished2024-01-14 06:49:24.123618
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자(stdr_de_id)
Real number (ℝ)

Distinct429
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20194005
Minimum20171007
Maximum20211028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:24.195200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171007
5-th percentile20171216
Q120181028
median20191064
Q320201115
95-th percentile20210820
Maximum20211028
Range40021
Interquartile range (IQR)20087.5

Descriptive statistics

Standard deviation12075.474
Coefficient of variation (CV)0.00059797319
Kurtosis-1.0810537
Mean20194005
Median Absolute Deviation (MAD)10042.5
Skewness-0.11773273
Sum1.0097003 × 1010
Variance1.4581706 × 108
MonotonicityNot monotonic
2024-01-14T15:49:24.346151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171105 3
 
0.6%
20210829 3
 
0.6%
20200601 3
 
0.6%
20190830 3
 
0.6%
20190711 3
 
0.6%
20210418 3
 
0.6%
20191223 2
 
0.4%
20190104 2
 
0.4%
20180326 2
 
0.4%
20210322 2
 
0.4%
Other values (419) 474
94.8%
ValueCountFrequency (%)
20171007 1
 
0.2%
20171013 1
 
0.2%
20171022 1
 
0.2%
20171024 1
 
0.2%
20171028 1
 
0.2%
20171030 1
 
0.2%
20171031 1
 
0.2%
20171104 1
 
0.2%
20171105 3
0.6%
20171110 1
 
0.2%
ValueCountFrequency (%)
20211028 1
0.2%
20211026 1
0.2%
20211025 1
0.2%
20211023 2
0.4%
20211021 1
0.2%
20211020 1
0.2%
20211016 2
0.4%
20211015 1
0.2%
20211014 2
0.4%
20211013 1
0.2%

시간(tmzon_pd_se)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.896
Minimum0
Maximum23
Zeros14
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:24.476360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median12
Q317
95-th percentile22.05
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7138167
Coefficient of variation (CV)0.56437598
Kurtosis-1.0829661
Mean11.896
Median Absolute Deviation (MAD)5
Skewness-0.074635767
Sum5948
Variance45.075335
MonotonicityNot monotonic
2024-01-14T15:49:24.617625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 29
 
5.8%
8 26
 
5.2%
18 25
 
5.0%
10 25
 
5.0%
23 25
 
5.0%
13 25
 
5.0%
1 23
 
4.6%
17 23
 
4.6%
14 23
 
4.6%
11 23
 
4.6%
Other values (14) 253
50.6%
ValueCountFrequency (%)
0 14
2.8%
1 23
4.6%
2 20
4.0%
3 19
3.8%
4 14
2.8%
5 18
3.6%
6 15
3.0%
7 20
4.0%
8 26
5.2%
9 19
3.8%
ValueCountFrequency (%)
23 25
5.0%
22 18
3.6%
21 21
4.2%
20 20
4.0%
19 13
2.6%
18 25
5.0%
17 23
4.6%
16 21
4.2%
15 29
5.8%
14 23
4.6%
Distinct300
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11438102
Minimum11110530
Maximum11740690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:24.779648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110530
5-th percentile11139030
Q111260652
median11470555
Q311620575
95-th percentile11710670
Maximum11740690
Range630160
Interquartile range (IQR)359922.5

Descriptive statistics

Standard deviation191124.43
Coefficient of variation (CV)0.016709453
Kurtosis-1.2433451
Mean11438102
Median Absolute Deviation (MAD)172382.5
Skewness-0.1352728
Sum5.719051 × 109
Variance3.6528548 × 1010
MonotonicityNot monotonic
2024-01-14T15:49:24.984887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680521 5
 
1.0%
11650560 5
 
1.0%
11560630 4
 
0.8%
11710670 4
 
0.8%
11380552 4
 
0.8%
11620695 4
 
0.8%
11470600 4
 
0.8%
11110650 4
 
0.8%
11500510 4
 
0.8%
11110550 4
 
0.8%
Other values (290) 458
91.6%
ValueCountFrequency (%)
11110530 1
 
0.2%
11110540 3
0.6%
11110550 4
0.8%
11110560 1
 
0.2%
11110580 1
 
0.2%
11110600 1
 
0.2%
11110630 1
 
0.2%
11110640 1
 
0.2%
11110650 4
0.8%
11110670 3
0.6%
ValueCountFrequency (%)
11740690 1
 
0.2%
11740685 1
 
0.2%
11740660 1
 
0.2%
11740650 2
0.4%
11740620 1
 
0.2%
11740610 1
 
0.2%
11740600 1
 
0.2%
11740590 1
 
0.2%
11740580 3
0.6%
11740570 2
0.4%

전체순위(lvpop_sn)
Real number (ℝ)

Distinct64
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.096
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:25.136846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q114.75
median28
Q344
95-th percentile57.05
Maximum64
Range63
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation17.210904
Coefficient of variation (CV)0.59152131
Kurtosis-1.1402747
Mean29.096
Median Absolute Deviation (MAD)15
Skewness0.16737913
Sum14548
Variance296.21521
MonotonicityNot monotonic
2024-01-14T15:49:25.312840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
3.0%
37 14
 
2.8%
7 13
 
2.6%
16 12
 
2.4%
17 12
 
2.4%
20 12
 
2.4%
19 12
 
2.4%
47 12
 
2.4%
3 11
 
2.2%
21 11
 
2.2%
Other values (54) 376
75.2%
ValueCountFrequency (%)
1 5
 
1.0%
2 5
 
1.0%
3 11
2.2%
4 11
2.2%
5 11
2.2%
6 9
1.8%
7 13
2.6%
8 4
 
0.8%
9 6
 
1.2%
10 15
3.0%
ValueCountFrequency (%)
64 2
 
0.4%
63 1
 
0.2%
62 3
 
0.6%
61 2
 
0.4%
60 4
0.8%
59 7
1.4%
58 6
1.2%
57 8
1.6%
56 6
1.2%
55 6
1.2%
Distinct66
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39060.524
Minimum26000
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:25.474922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26000
5-th percentile28177
Q141114.5
median41285
Q341570
95-th percentile46000
Maximum50000
Range24000
Interquartile range (IQR)455.5

Descriptive statistics

Standard deviation5790.2842
Coefficient of variation (CV)0.14823877
Kurtosis-0.042941754
Mean39060.524
Median Absolute Deviation (MAD)215
Skewness-1.0873507
Sum19530262
Variance33527391
MonotonicityNot monotonic
2024-01-14T15:49:25.621484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41150 16
 
3.2%
44000 14
 
2.8%
41271 14
 
2.8%
41281 13
 
2.6%
41210 12
 
2.4%
41630 12
 
2.4%
41450 12
 
2.4%
41285 11
 
2.2%
41480 11
 
2.2%
41220 11
 
2.2%
Other values (56) 374
74.8%
ValueCountFrequency (%)
26000 7
1.4%
27000 7
1.4%
28110 4
 
0.8%
28140 5
1.0%
28177 6
1.2%
28185 9
1.8%
28200 5
1.0%
28237 8
1.6%
28245 10
2.0%
28260 8
1.6%
ValueCountFrequency (%)
50000 7
1.4%
48000 5
 
1.0%
47000 6
1.2%
46000 9
1.8%
45000 7
1.4%
44000 14
2.8%
43000 8
1.6%
42000 8
1.6%
41830 7
1.4%
41820 11
2.2%
Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.758901
Minimum0.0002
Maximum1868.8528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:25.786031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0002
5-th percentile0.40006
Q13.948475
median9.9705
Q323.978175
95-th percentile133.31556
Maximum1868.8528
Range1868.8526
Interquartile range (IQR)20.0297

Descriptive statistics

Standard deviation113.05328
Coefficient of variation (CV)3.2524987
Kurtosis147.92778
Mean34.758901
Median Absolute Deviation (MAD)7.10715
Skewness10.54301
Sum17379.451
Variance12781.044
MonotonicityNot monotonic
2024-01-14T15:49:26.183127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9273 2
 
0.4%
3.0984 1
 
0.2%
265.0496 1
 
0.2%
2.3229 1
 
0.2%
40.8235 1
 
0.2%
18.9531 1
 
0.2%
7.0053 1
 
0.2%
3.4213 1
 
0.2%
0.0148 1
 
0.2%
16.7328 1
 
0.2%
Other values (489) 489
97.8%
ValueCountFrequency (%)
0.0002 1
0.2%
0.0014 1
0.2%
0.0017 1
0.2%
0.0044 1
0.2%
0.008 1
0.2%
0.0148 1
0.2%
0.0322 1
0.2%
0.0323 1
0.2%
0.0616 1
0.2%
0.0647 1
0.2%
ValueCountFrequency (%)
1868.8528 1
0.2%
749.7235 1
0.2%
704.9833 1
0.2%
649.2359 1
0.2%
642.8187 1
0.2%
508.3155 1
0.2%
390.3502 1
0.2%
374.975 1
0.2%
312.8619 1
0.2%
265.0496 1
0.2%

남자10~14세(male_f10t14_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1682098
Minimum0
Maximum8.7324
Zeros480
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:26.313951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.7324
Range8.7324
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.95116707
Coefficient of variation (CV)5.6546471
Kurtosis37.970825
Mean0.1682098
Median Absolute Deviation (MAD)0
Skewness6.079082
Sum84.1049
Variance0.90471879
MonotonicityNot monotonic
2024-01-14T15:49:26.432338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 480
96.0%
5.2799 1
 
0.2%
5.6449 1
 
0.2%
5.2636 1
 
0.2%
5.5457 1
 
0.2%
7.6351 1
 
0.2%
5.5577 1
 
0.2%
3.7544 1
 
0.2%
0.1372 1
 
0.2%
1.4265 1
 
0.2%
Other values (11) 11
 
2.2%
ValueCountFrequency (%)
0.0 480
96.0%
0.0919 1
 
0.2%
0.1372 1
 
0.2%
1.0777 1
 
0.2%
1.1034 1
 
0.2%
1.4265 1
 
0.2%
2.7585 1
 
0.2%
3.1544 1
 
0.2%
3.7544 1
 
0.2%
4.7418 1
 
0.2%
ValueCountFrequency (%)
8.7324 1
0.2%
7.6351 1
0.2%
5.7697 1
0.2%
5.6819 1
0.2%
5.6449 1
0.2%
5.5577 1
0.2%
5.5457 1
0.2%
5.5252 1
0.2%
5.2799 1
0.2%
5.2636 1
0.2%

남자15~19세(male_f15t19_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8500144
Minimum0
Maximum84.6889
Zeros446
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:26.562126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.17771
Maximum84.6889
Range84.6889
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6406642
Coefficient of variation (CV)6.6359631
Kurtosis148.12443
Mean0.8500144
Median Absolute Deviation (MAD)0
Skewness11.573655
Sum425.0072
Variance31.817092
MonotonicityNot monotonic
2024-01-14T15:49:26.727377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 446
89.2%
5.648 2
 
0.4%
0.0052 1
 
0.2%
15.3711 1
 
0.2%
0.0011 1
 
0.2%
55.577 1
 
0.2%
5.5564 1
 
0.2%
5.2485 1
 
0.2%
4.1778 1
 
0.2%
5.2441 1
 
0.2%
Other values (44) 44
 
8.8%
ValueCountFrequency (%)
0.0 446
89.2%
0.0011 1
 
0.2%
0.0052 1
 
0.2%
0.0102 1
 
0.2%
0.0464 1
 
0.2%
0.1647 1
 
0.2%
0.2114 1
 
0.2%
0.4761 1
 
0.2%
0.5067 1
 
0.2%
0.609 1
 
0.2%
ValueCountFrequency (%)
84.6889 1
0.2%
64.8794 1
0.2%
55.577 1
0.2%
20.4316 1
0.2%
15.3711 1
0.2%
14.4832 1
0.2%
10.9212 1
0.2%
10.1249 1
0.2%
6.0519 1
0.2%
5.689 1
0.2%

남자20~24세(male_f20t24_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9113884
Minimum0
Maximum20.2522
Zeros366
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:26.898912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.324625
95-th percentile4.814915
Maximum20.2522
Range20.2522
Interquartile range (IQR)0.324625

Descriptive statistics

Standard deviation2.0444093
Coefficient of variation (CV)2.2431812
Kurtosis20.242013
Mean0.9113884
Median Absolute Deviation (MAD)0
Skewness3.5680074
Sum455.6942
Variance4.1796095
MonotonicityNot monotonic
2024-01-14T15:49:27.101440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 366
73.2%
6.9776 1
 
0.2%
5.3083 1
 
0.2%
0.5072 1
 
0.2%
3.3801 1
 
0.2%
3.3537 1
 
0.2%
10.0617 1
 
0.2%
1.0294 1
 
0.2%
3.4155 1
 
0.2%
3.0773 1
 
0.2%
Other values (125) 125
 
25.0%
ValueCountFrequency (%)
0.0 366
73.2%
0.0028 1
 
0.2%
0.0045 1
 
0.2%
0.0079 1
 
0.2%
0.0231 1
 
0.2%
0.0504 1
 
0.2%
0.1365 1
 
0.2%
0.2625 1
 
0.2%
0.2634 1
 
0.2%
0.3214 1
 
0.2%
ValueCountFrequency (%)
20.2522 1
0.2%
12.5313 1
0.2%
10.1641 1
0.2%
10.0617 1
0.2%
8.7647 1
0.2%
8.6239 1
0.2%
8.2705 1
0.2%
6.9776 1
0.2%
6.843 1
0.2%
6.837 1
0.2%

남자25~29세(male_f25t29_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct187
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.607991
Minimum0
Maximum168.7892
Zeros314
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:27.250810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.590175
95-th percentile5.594235
Maximum168.7892
Range168.7892
Interquartile range (IQR)1.590175

Descriptive statistics

Standard deviation8.354579
Coefficient of variation (CV)5.1956628
Kurtosis327.72517
Mean1.607991
Median Absolute Deviation (MAD)0
Skewness16.952531
Sum803.9955
Variance69.798991
MonotonicityNot monotonic
2024-01-14T15:49:27.375537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 314
62.8%
0.3151 1
 
0.2%
5.0812 1
 
0.2%
0.0433 1
 
0.2%
2.5327 1
 
0.2%
2.5604 1
 
0.2%
17.738 1
 
0.2%
0.0773 1
 
0.2%
1.0633 1
 
0.2%
0.2736 1
 
0.2%
Other values (177) 177
35.4%
ValueCountFrequency (%)
0.0 314
62.8%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0033 1
 
0.2%
0.004 1
 
0.2%
0.0043 1
 
0.2%
0.0048 1
 
0.2%
0.0056 1
 
0.2%
0.0085 1
 
0.2%
0.0092 1
 
0.2%
ValueCountFrequency (%)
168.7892 1
0.2%
61.5295 1
0.2%
21.1439 1
0.2%
17.738 1
0.2%
17.584 1
0.2%
14.9832 1
0.2%
12.512 1
0.2%
12.0579 1
0.2%
10.4619 1
0.2%
10.2249 1
0.2%

남자30~34세(male_f30t34_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct164
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3848658
Minimum0
Maximum67.9242
Zeros334
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:27.524195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.33405
95-th percentile5.79618
Maximum67.9242
Range67.9242
Interquartile range (IQR)1.33405

Descriptive statistics

Standard deviation4.4379365
Coefficient of variation (CV)3.2045968
Kurtosis110.89262
Mean1.3848658
Median Absolute Deviation (MAD)0
Skewness8.8372328
Sum692.4329
Variance19.69528
MonotonicityNot monotonic
2024-01-14T15:49:27.691768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 334
66.8%
2.7873 2
 
0.4%
2.7803 2
 
0.4%
2.7767 2
 
0.4%
2.7811 1
 
0.2%
1.8619 1
 
0.2%
3.9143 1
 
0.2%
2.834 1
 
0.2%
4.7055 1
 
0.2%
0.0004 1
 
0.2%
Other values (154) 154
30.8%
ValueCountFrequency (%)
0.0 334
66.8%
0.0004 1
 
0.2%
0.0018 1
 
0.2%
0.0064 1
 
0.2%
0.0069 1
 
0.2%
0.0071 1
 
0.2%
0.0106 1
 
0.2%
0.0128 1
 
0.2%
0.0171 1
 
0.2%
0.021 1
 
0.2%
ValueCountFrequency (%)
67.9242 1
0.2%
34.2558 1
0.2%
27.0877 1
0.2%
22.99 1
0.2%
19.2132 1
0.2%
16.1574 1
0.2%
15.7984 1
0.2%
15.2586 1
0.2%
14.3292 1
0.2%
14.1305 1
0.2%

남자35~39세(male_f35t39_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3288582
Minimum0
Maximum133.9875
Zeros368
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:27.839567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02605
95-th percentile9.58312
Maximum133.9875
Range133.9875
Interquartile range (IQR)0.02605

Descriptive statistics

Standard deviation10.274082
Coefficient of variation (CV)4.4116394
Kurtosis107.04682
Mean2.3288582
Median Absolute Deviation (MAD)0
Skewness9.5025045
Sum1164.4291
Variance105.55677
MonotonicityNot monotonic
2024-01-14T15:49:28.043905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 368
73.6%
3.4499 2
 
0.4%
2.5719 1
 
0.2%
6.0428 1
 
0.2%
2.8039 1
 
0.2%
3.037 1
 
0.2%
3.6801 1
 
0.2%
3.8199 1
 
0.2%
8.9042 1
 
0.2%
3.3985 1
 
0.2%
Other values (122) 122
 
24.4%
ValueCountFrequency (%)
0.0 368
73.6%
0.0005 1
 
0.2%
0.0015 1
 
0.2%
0.003 1
 
0.2%
0.0074 1
 
0.2%
0.0109 1
 
0.2%
0.0151 1
 
0.2%
0.0205 1
 
0.2%
0.0427 1
 
0.2%
0.0465 1
 
0.2%
ValueCountFrequency (%)
133.9875 1
0.2%
128.1581 1
0.2%
82.0349 1
0.2%
50.9502 1
0.2%
44.495 1
0.2%
41.1263 1
0.2%
28.58 1
0.2%
28.5045 1
0.2%
27.1208 1
0.2%
25.3327 1
0.2%

남자40~44세(male_f40t44_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7784934
Minimum0
Maximum50.2006
Zeros349
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:28.207788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.7299
95-th percentile7.70499
Maximum50.2006
Range50.2006
Interquartile range (IQR)0.7299

Descriptive statistics

Standard deviation5.5208124
Coefficient of variation (CV)3.1042074
Kurtosis39.96844
Mean1.7784934
Median Absolute Deviation (MAD)0
Skewness5.7888365
Sum889.2467
Variance30.479369
MonotonicityNot monotonic
2024-01-14T15:49:28.438802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 349
69.8%
3.2879 2
 
0.4%
0.7723 1
 
0.2%
5.8679 1
 
0.2%
6.1093 1
 
0.2%
6.6473 1
 
0.2%
2.0881 1
 
0.2%
4.6329 1
 
0.2%
3.29 1
 
0.2%
0.4464 1
 
0.2%
Other values (141) 141
28.2%
ValueCountFrequency (%)
0.0 349
69.8%
0.001 1
 
0.2%
0.0033 1
 
0.2%
0.0134 1
 
0.2%
0.0185 1
 
0.2%
0.0324 1
 
0.2%
0.038 1
 
0.2%
0.0435 1
 
0.2%
0.0493 1
 
0.2%
0.0636 1
 
0.2%
ValueCountFrequency (%)
50.2006 1
0.2%
48.4126 1
0.2%
43.8815 1
0.2%
42.4709 1
0.2%
40.6134 1
0.2%
25.7613 1
0.2%
24.2903 1
0.2%
23.3219 1
0.2%
21.5865 1
0.2%
19.0385 1
0.2%

남자45~49세(male_f45t49_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.501772
Minimum0
Maximum171.4477
Zeros332
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:28.610678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.120225
95-th percentile9.067755
Maximum171.4477
Range171.4477
Interquartile range (IQR)2.120225

Descriptive statistics

Standard deviation10.567171
Coefficient of variation (CV)4.2238747
Kurtosis153.56653
Mean2.501772
Median Absolute Deviation (MAD)0
Skewness11.161144
Sum1250.886
Variance111.66511
MonotonicityNot monotonic
2024-01-14T15:49:28.776975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 332
66.4%
3.7181 2
 
0.4%
3.7318 2
 
0.4%
3.8573 1
 
0.2%
5.5242 1
 
0.2%
4.9216 1
 
0.2%
3.1583 1
 
0.2%
11.2035 1
 
0.2%
4.4592 1
 
0.2%
5.7689 1
 
0.2%
Other values (157) 157
31.4%
ValueCountFrequency (%)
0.0 332
66.4%
0.0004 1
 
0.2%
0.0009 1
 
0.2%
0.0253 1
 
0.2%
0.0314 1
 
0.2%
0.0329 1
 
0.2%
0.0527 1
 
0.2%
0.0567 1
 
0.2%
0.1231 1
 
0.2%
0.1482 1
 
0.2%
ValueCountFrequency (%)
171.4477 1
0.2%
104.5467 1
0.2%
77.4849 1
0.2%
43.9659 1
0.2%
38.5252 1
0.2%
34.2197 1
0.2%
30.2702 1
0.2%
30.1966 1
0.2%
29.8409 1
0.2%
25.3125 1
0.2%

남자50~54세(male_f50t54_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct179
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7472644
Minimum0
Maximum60.4213
Zeros319
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:28.918463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.602375
95-th percentile8.16825
Maximum60.4213
Range60.4213
Interquartile range (IQR)2.602375

Descriptive statistics

Standard deviation4.6836858
Coefficient of variation (CV)2.6805821
Kurtosis61.210326
Mean1.7472644
Median Absolute Deviation (MAD)0
Skewness6.5131268
Sum873.6322
Variance21.936912
MonotonicityNot monotonic
2024-01-14T15:49:29.118110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 319
63.8%
0.0961 2
 
0.4%
3.0809 2
 
0.4%
3.1199 2
 
0.4%
3.1712 1
 
0.2%
3.1794 1
 
0.2%
0.7538 1
 
0.2%
5.2852 1
 
0.2%
3.1099 1
 
0.2%
11.0603 1
 
0.2%
Other values (169) 169
33.8%
ValueCountFrequency (%)
0.0 319
63.8%
0.0008 1
 
0.2%
0.004 1
 
0.2%
0.0089 1
 
0.2%
0.0254 1
 
0.2%
0.0422 1
 
0.2%
0.0427 1
 
0.2%
0.0457 1
 
0.2%
0.0557 1
 
0.2%
0.0961 2
 
0.4%
ValueCountFrequency (%)
60.4213 1
0.2%
35.0978 1
0.2%
32.2453 1
0.2%
27.9225 1
0.2%
25.3581 1
0.2%
23.0085 1
0.2%
17.7247 1
0.2%
17.5692 1
0.2%
13.1793 1
0.2%
12.93 1
0.2%

남자55~59세(male_f55t59_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct156
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.676319
Minimum0
Maximum92.6121
Zeros345
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:29.288532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.720775
95-th percentile6.949185
Maximum92.6121
Range92.6121
Interquartile range (IQR)0.720775

Descriptive statistics

Standard deviation6.3123484
Coefficient of variation (CV)3.7656009
Kurtosis113.50374
Mean1.676319
Median Absolute Deviation (MAD)0
Skewness9.5524912
Sum838.1595
Variance39.845743
MonotonicityNot monotonic
2024-01-14T15:49:29.420858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 345
69.0%
4.2742 1
 
0.2%
8.7329 1
 
0.2%
0.672 1
 
0.2%
14.1657 1
 
0.2%
1.6063 1
 
0.2%
8.9194 1
 
0.2%
1.0455 1
 
0.2%
3.493 1
 
0.2%
1.1428 1
 
0.2%
Other values (146) 146
29.2%
ValueCountFrequency (%)
0.0 345
69.0%
0.0025 1
 
0.2%
0.0073 1
 
0.2%
0.0107 1
 
0.2%
0.0117 1
 
0.2%
0.0271 1
 
0.2%
0.0279 1
 
0.2%
0.0346 1
 
0.2%
0.0386 1
 
0.2%
0.0391 1
 
0.2%
ValueCountFrequency (%)
92.6121 1
0.2%
58.7747 1
0.2%
57.6482 1
0.2%
39.18 1
0.2%
22.416 1
0.2%
17.7012 1
0.2%
14.1657 1
0.2%
13.8398 1
0.2%
13.2558 1
0.2%
12.8455 1
0.2%

남자60~64세(male_f60t64_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct155
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0973604
Minimum0
Maximum48.4267
Zeros342
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:29.547385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.61435
95-th percentile5.61395
Maximum48.4267
Range48.4267
Interquartile range (IQR)0.61435

Descriptive statistics

Standard deviation3.4923892
Coefficient of variation (CV)3.1825362
Kurtosis83.309088
Mean1.0973604
Median Absolute Deviation (MAD)0
Skewness7.7529476
Sum548.6802
Variance12.196782
MonotonicityNot monotonic
2024-01-14T15:49:29.703876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 342
68.4%
2.7931 3
 
0.6%
2.7861 2
 
0.4%
2.7856 2
 
0.4%
0.1407 1
 
0.2%
1.8914 1
 
0.2%
0.0101 1
 
0.2%
2.6957 1
 
0.2%
1.0489 1
 
0.2%
0.7084 1
 
0.2%
Other values (145) 145
29.0%
ValueCountFrequency (%)
0.0 342
68.4%
0.0001 1
 
0.2%
0.0003 1
 
0.2%
0.0005 1
 
0.2%
0.0013 1
 
0.2%
0.0017 1
 
0.2%
0.0022 1
 
0.2%
0.0038 1
 
0.2%
0.0047 1
 
0.2%
0.0101 1
 
0.2%
ValueCountFrequency (%)
48.4267 1
0.2%
31.3398 1
0.2%
21.441 1
0.2%
19.2672 1
0.2%
17.6328 1
0.2%
15.791 1
0.2%
12.9144 1
0.2%
12.008 1
0.2%
11.2037 1
0.2%
10.7255 1
0.2%

남자65~69세(male_f65t69_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5717672
Minimum0
Maximum27.3573
Zeros402
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:29.842022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.90504
Maximum27.3573
Range27.3573
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0174727
Coefficient of variation (CV)3.5284863
Kurtosis78.123601
Mean0.5717672
Median Absolute Deviation (MAD)0
Skewness7.4806553
Sum285.8836
Variance4.0701962
MonotonicityNot monotonic
2024-01-14T15:49:29.978220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 402
80.4%
2.8924 2
 
0.4%
2.8983 2
 
0.4%
2.9045 2
 
0.4%
2.8975 1
 
0.2%
0.278 1
 
0.2%
2.8914 1
 
0.2%
2.8458 1
 
0.2%
0.7984 1
 
0.2%
2.3868 1
 
0.2%
Other values (86) 86
 
17.2%
ValueCountFrequency (%)
0.0 402
80.4%
0.002 1
 
0.2%
0.0032 1
 
0.2%
0.0053 1
 
0.2%
0.0133 1
 
0.2%
0.0138 1
 
0.2%
0.0156 1
 
0.2%
0.0283 1
 
0.2%
0.0297 1
 
0.2%
0.0526 1
 
0.2%
ValueCountFrequency (%)
27.3573 1
0.2%
18.3482 1
0.2%
11.5923 1
0.2%
9.9246 1
0.2%
9.4299 1
0.2%
9.217 1
0.2%
9.1309 1
0.2%
8.9981 1
0.2%
5.7616 1
0.2%
5.3283 1
0.2%

남자70~74세(male_f70t74_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4631154
Minimum0
Maximum16.9815
Zeros431
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:30.361378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.5304
Maximum16.9815
Range16.9815
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5537765
Coefficient of variation (CV)3.3550524
Kurtosis35.455224
Mean0.4631154
Median Absolute Deviation (MAD)0
Skewness5.0519566
Sum231.5577
Variance2.4142213
MonotonicityNot monotonic
2024-01-14T15:49:30.503399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 431
86.2%
3.5304 2
 
0.4%
2.1445 1
 
0.2%
3.4631 1
 
0.2%
3.4664 1
 
0.2%
0.593 1
 
0.2%
3.6717 1
 
0.2%
1.0189 1
 
0.2%
0.0037 1
 
0.2%
6.5964 1
 
0.2%
Other values (59) 59
 
11.8%
ValueCountFrequency (%)
0.0 431
86.2%
0.001 1
 
0.2%
0.0037 1
 
0.2%
0.0407 1
 
0.2%
0.0774 1
 
0.2%
0.1909 1
 
0.2%
0.2677 1
 
0.2%
0.3586 1
 
0.2%
0.4808 1
 
0.2%
0.5252 1
 
0.2%
ValueCountFrequency (%)
16.9815 1
0.2%
10.9255 1
0.2%
10.2057 1
0.2%
8.2208 1
0.2%
7.0417 1
0.2%
6.8723 1
0.2%
6.5964 1
0.2%
5.946 1
0.2%
5.8586 1
0.2%
5.7317 1
0.2%

남자75~79세(male_f75t79_lvpop_co)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3860234
Minimum0
Maximum63.6399
Zeros462
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:30.635362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.742055
Maximum63.6399
Range63.6399
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1116335
Coefficient of variation (CV)8.0607381
Kurtosis346.05766
Mean0.3860234
Median Absolute Deviation (MAD)0
Skewness17.460632
Sum193.0117
Variance9.6822633
MonotonicityNot monotonic
2024-01-14T15:49:30.763110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 462
92.4%
8.9007 1
 
0.2%
4.3083 1
 
0.2%
3.1986 1
 
0.2%
0.2032 1
 
0.2%
4.6163 1
 
0.2%
3.0901 1
 
0.2%
4.516 1
 
0.2%
0.5455 1
 
0.2%
1.3614 1
 
0.2%
Other values (29) 29
 
5.8%
ValueCountFrequency (%)
0.0 462
92.4%
0.0064 1
 
0.2%
0.0175 1
 
0.2%
0.2032 1
 
0.2%
0.3221 1
 
0.2%
0.354 1
 
0.2%
0.5455 1
 
0.2%
0.7303 1
 
0.2%
1.0574 1
 
0.2%
1.2849 1
 
0.2%
ValueCountFrequency (%)
63.6399 1
0.2%
18.6532 1
0.2%
8.9007 1
0.2%
8.8498 1
0.2%
4.8703 1
0.2%
4.6163 1
0.2%
4.521 1
0.2%
4.5207 1
0.2%
4.516 1
0.2%
4.5149 1
0.2%
Distinct22
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1479652
Minimum0
Maximum12.2067
Zeros479
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:30.889554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12.2067
Range12.2067
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9091037
Coefficient of variation (CV)6.1440373
Kurtosis78.146612
Mean0.1479652
Median Absolute Deviation (MAD)0
Skewness7.9936057
Sum73.9826
Variance0.82646955
MonotonicityNot monotonic
2024-01-14T15:49:31.022113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 479
95.8%
1.5204 1
 
0.2%
0.5369 1
 
0.2%
5.3393 1
 
0.2%
2.5024 1
 
0.2%
5.4164 1
 
0.2%
3.2549 1
 
0.2%
2.712 1
 
0.2%
5.5064 1
 
0.2%
5.651 1
 
0.2%
Other values (12) 12
 
2.4%
ValueCountFrequency (%)
0.0 479
95.8%
0.1211 1
 
0.2%
0.235 1
 
0.2%
0.3684 1
 
0.2%
0.5369 1
 
0.2%
0.9026 1
 
0.2%
1.1841 1
 
0.2%
1.5204 1
 
0.2%
2.5024 1
 
0.2%
2.5778 1
 
0.2%
ValueCountFrequency (%)
12.2067 1
0.2%
5.7077 1
0.2%
5.651 1
0.2%
5.5064 1
0.2%
5.4164 1
0.2%
5.3393 1
0.2%
5.1665 1
0.2%
5.142 1
0.2%
4.744 1
0.2%
3.2549 1
0.2%
Distinct54
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4721596
Minimum0
Maximum19.314
Zeros447
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:31.154941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.723235
Maximum19.314
Range19.314
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.02353
Coefficient of variation (CV)4.2856908
Kurtosis38.184173
Mean0.4721596
Median Absolute Deviation (MAD)0
Skewness5.752756
Sum236.0798
Variance4.0946738
MonotonicityNot monotonic
2024-01-14T15:49:31.331598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 447
89.4%
0.1511 1
 
0.2%
2.095 1
 
0.2%
0.0131 1
 
0.2%
14.8431 1
 
0.2%
5.1788 1
 
0.2%
16.79 1
 
0.2%
3.6769 1
 
0.2%
5.9298 1
 
0.2%
2.33 1
 
0.2%
Other values (44) 44
 
8.8%
ValueCountFrequency (%)
0.0 447
89.4%
0.0003 1
 
0.2%
0.0005 1
 
0.2%
0.0063 1
 
0.2%
0.0131 1
 
0.2%
0.0195 1
 
0.2%
0.021 1
 
0.2%
0.0417 1
 
0.2%
0.0746 1
 
0.2%
0.1477 1
 
0.2%
ValueCountFrequency (%)
19.314 1
0.2%
16.79 1
0.2%
14.8431 1
0.2%
13.9368 1
0.2%
13.3478 1
0.2%
11.5554 1
0.2%
10.2667 1
0.2%
8.7135 1
0.2%
7.8236 1
0.2%
5.9298 1
0.2%
Distinct170
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5041814
Minimum0
Maximum37.4438
Zeros328
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:31.533778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.6501
95-th percentile6.336975
Maximum37.4438
Range37.4438
Interquartile range (IQR)1.6501

Descriptive statistics

Standard deviation4.0123123
Coefficient of variation (CV)2.6674391
Kurtosis35.463519
Mean1.5041814
Median Absolute Deviation (MAD)0
Skewness5.315321
Sum752.0907
Variance16.09865
MonotonicityNot monotonic
2024-01-14T15:49:31.723266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 328
65.6%
0.1875 2
 
0.4%
3.1165 2
 
0.4%
3.148 2
 
0.4%
11.617 1
 
0.2%
0.5672 1
 
0.2%
13.6329 1
 
0.2%
4.8377 1
 
0.2%
6.4296 1
 
0.2%
0.8841 1
 
0.2%
Other values (160) 160
32.0%
ValueCountFrequency (%)
0.0 328
65.6%
0.0016 1
 
0.2%
0.0018 1
 
0.2%
0.0154 1
 
0.2%
0.0269 1
 
0.2%
0.0295 1
 
0.2%
0.0339 1
 
0.2%
0.0592 1
 
0.2%
0.0645 1
 
0.2%
0.0841 1
 
0.2%
ValueCountFrequency (%)
37.4438 1
0.2%
35.0374 1
0.2%
29.835 1
0.2%
29.3424 1
0.2%
25.0326 1
0.2%
21.8652 1
0.2%
18.9367 1
0.2%
15.4518 1
0.2%
14.2395 1
0.2%
13.6329 1
0.2%
Distinct171
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2891162
Minimum0
Maximum340.1892
Zeros328
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:31.886407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.503075
95-th percentile7.837075
Maximum340.1892
Range340.1892
Interquartile range (IQR)1.503075

Descriptive statistics

Standard deviation15.897032
Coefficient of variation (CV)6.9446156
Kurtosis411.37195
Mean2.2891162
Median Absolute Deviation (MAD)0
Skewness19.477183
Sum1144.5581
Variance252.71563
MonotonicityNot monotonic
2024-01-14T15:49:32.025682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 328
65.6%
2.6066 2
 
0.4%
2.5894 2
 
0.4%
3.0019 1
 
0.2%
7.432 1
 
0.2%
2.5931 1
 
0.2%
2.0276 1
 
0.2%
0.4044 1
 
0.2%
2.5257 1
 
0.2%
1.4873 1
 
0.2%
Other values (161) 161
32.2%
ValueCountFrequency (%)
0.0 328
65.6%
0.0002 1
 
0.2%
0.0081 1
 
0.2%
0.0111 1
 
0.2%
0.0258 1
 
0.2%
0.0343 1
 
0.2%
0.0372 1
 
0.2%
0.0624 1
 
0.2%
0.0872 1
 
0.2%
0.0945 1
 
0.2%
ValueCountFrequency (%)
340.1892 1
0.2%
50.617 1
0.2%
47.3917 1
0.2%
32.1341 1
0.2%
25.927 1
0.2%
25.1593 1
0.2%
24.3978 1
0.2%
22.8879 1
0.2%
22.8305 1
0.2%
20.6545 1
0.2%
Distinct121
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.176232
Minimum0
Maximum37.6978
Zeros380
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:32.155759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.46579
Maximum37.6978
Range37.6978
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9088489
Coefficient of variation (CV)3.3231955
Kurtosis41.251212
Mean1.176232
Median Absolute Deviation (MAD)0
Skewness5.9188261
Sum588.116
Variance15.279099
MonotonicityNot monotonic
2024-01-14T15:49:32.297065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 380
76.0%
6.0762 1
 
0.2%
5.2562 1
 
0.2%
3.0307 1
 
0.2%
1.9703 1
 
0.2%
3.0877 1
 
0.2%
5.6631 1
 
0.2%
3.3859 1
 
0.2%
1.1078 1
 
0.2%
3.0963 1
 
0.2%
Other values (111) 111
 
22.2%
ValueCountFrequency (%)
0.0 380
76.0%
0.0098 1
 
0.2%
0.01 1
 
0.2%
0.0137 1
 
0.2%
0.0146 1
 
0.2%
0.0553 1
 
0.2%
0.0629 1
 
0.2%
0.0659 1
 
0.2%
0.0679 1
 
0.2%
0.0939 1
 
0.2%
ValueCountFrequency (%)
37.6978 1
0.2%
32.5231 1
0.2%
30.7231 1
0.2%
30.5898 1
0.2%
26.2713 1
0.2%
20.2596 1
0.2%
18.4237 1
0.2%
17.0092 1
0.2%
16.3877 1
0.2%
15.5071 1
0.2%
Distinct101
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2855306
Minimum0
Maximum63.8297
Zeros397
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:32.454585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.268145
Maximum63.8297
Range63.8297
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4031951
Coefficient of variation (CV)4.2030856
Kurtosis82.058016
Mean1.2855306
Median Absolute Deviation (MAD)0
Skewness8.3773335
Sum642.7653
Variance29.194518
MonotonicityNot monotonic
2024-01-14T15:49:32.604486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 397
79.4%
3.9226 2
 
0.4%
3.9381 2
 
0.4%
3.901 2
 
0.4%
3.9326 1
 
0.2%
4.6873 1
 
0.2%
3.8961 1
 
0.2%
4.0083 1
 
0.2%
48.2766 1
 
0.2%
3.7211 1
 
0.2%
Other values (91) 91
 
18.2%
ValueCountFrequency (%)
0.0 397
79.4%
0.0003 1
 
0.2%
0.0033 1
 
0.2%
0.0188 1
 
0.2%
0.0203 1
 
0.2%
0.0307 1
 
0.2%
0.051 1
 
0.2%
0.1004 1
 
0.2%
0.1621 1
 
0.2%
0.2249 1
 
0.2%
ValueCountFrequency (%)
63.8297 1
0.2%
61.545 1
0.2%
48.2766 1
0.2%
31.8438 1
0.2%
30.4563 1
0.2%
27.5259 1
0.2%
23.4024 1
0.2%
15.4781 1
0.2%
12.3266 1
0.2%
8.9567 1
0.2%
Distinct112
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9184158
Minimum0
Maximum33.0879
Zeros389
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:32.771693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.7555
Maximum33.0879
Range33.0879
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7568188
Coefficient of variation (CV)3.001711
Kurtosis50.426255
Mean0.9184158
Median Absolute Deviation (MAD)0
Skewness5.9252686
Sum459.2079
Variance7.6000501
MonotonicityNot monotonic
2024-01-14T15:49:32.900639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 389
77.8%
3.7331 1
 
0.2%
1.5447 1
 
0.2%
2.2053 1
 
0.2%
6.2194 1
 
0.2%
0.3222 1
 
0.2%
5.1507 1
 
0.2%
6.279 1
 
0.2%
0.8399 1
 
0.2%
2.6263 1
 
0.2%
Other values (102) 102
 
20.4%
ValueCountFrequency (%)
0.0 389
77.8%
0.0005 1
 
0.2%
0.0041 1
 
0.2%
0.0136 1
 
0.2%
0.0162 1
 
0.2%
0.0167 1
 
0.2%
0.0552 1
 
0.2%
0.0646 1
 
0.2%
0.0686 1
 
0.2%
0.1667 1
 
0.2%
ValueCountFrequency (%)
33.0879 1
0.2%
22.7667 1
0.2%
17.1548 1
0.2%
16.6268 1
0.2%
15.2174 1
0.2%
11.8677 1
0.2%
10.0467 1
0.2%
9.1001 1
0.2%
8.0725 1
0.2%
7.5783 1
0.2%
Distinct107
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.387775
Minimum0
Maximum82.4659
Zeros393
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:33.016937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.65774
Maximum82.4659
Range82.4659
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.7761637
Coefficient of variation (CV)4.1621759
Kurtosis114.73554
Mean1.387775
Median Absolute Deviation (MAD)0
Skewness9.6477031
Sum693.8875
Variance33.364067
MonotonicityNot monotonic
2024-01-14T15:49:33.126888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
78.6%
3.8807 2
 
0.4%
2.6952 1
 
0.2%
0.9568 1
 
0.2%
1.3151 1
 
0.2%
3.9446 1
 
0.2%
7.7351 1
 
0.2%
3.8619 1
 
0.2%
31.0641 1
 
0.2%
3.9811 1
 
0.2%
Other values (97) 97
 
19.4%
ValueCountFrequency (%)
0.0 393
78.6%
0.0156 1
 
0.2%
0.0205 1
 
0.2%
0.0277 1
 
0.2%
0.0317 1
 
0.2%
0.0482 1
 
0.2%
0.074 1
 
0.2%
0.0884 1
 
0.2%
0.1813 1
 
0.2%
0.2001 1
 
0.2%
ValueCountFrequency (%)
82.4659 1
0.2%
66.3816 1
0.2%
40.0318 1
0.2%
31.0641 1
0.2%
23.5285 1
0.2%
22.8223 1
0.2%
11.7231 1
0.2%
11.6524 1
0.2%
11.6236 1
0.2%
11.5989 1
0.2%
Distinct114
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.997429
Minimum0
Maximum63.3945
Zeros387
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:33.245064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.74764
Maximum63.3945
Range63.3945
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.002492
Coefficient of variation (CV)4.012809
Kurtosis130.8581
Mean0.997429
Median Absolute Deviation (MAD)0
Skewness9.8767894
Sum498.7145
Variance16.019943
MonotonicityNot monotonic
2024-01-14T15:49:33.360395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 387
77.4%
2.0748 1
 
0.2%
1.8498 1
 
0.2%
0.0821 1
 
0.2%
0.0031 1
 
0.2%
9.5506 1
 
0.2%
1.3226 1
 
0.2%
0.0582 1
 
0.2%
0.5363 1
 
0.2%
2.1288 1
 
0.2%
Other values (104) 104
 
20.8%
ValueCountFrequency (%)
0.0 387
77.4%
0.0005 1
 
0.2%
0.0012 1
 
0.2%
0.0031 1
 
0.2%
0.0082 1
 
0.2%
0.0347 1
 
0.2%
0.0517 1
 
0.2%
0.0518 1
 
0.2%
0.0582 1
 
0.2%
0.0762 1
 
0.2%
ValueCountFrequency (%)
63.3945 1
0.2%
32.7977 1
0.2%
25.1867 1
0.2%
22.8958 1
0.2%
18.9434 1
0.2%
11.9951 1
0.2%
11.4876 1
0.2%
11.2012 1
0.2%
10.9519 1
0.2%
9.5506 1
0.2%
Distinct115
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1893036
Minimum0
Maximum69.9065
Zeros386
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:33.483837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.24809
Maximum69.9065
Range69.9065
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8799082
Coefficient of variation (CV)4.1031644
Kurtosis114.71998
Mean1.1893036
Median Absolute Deviation (MAD)0
Skewness9.5782939
Sum594.6518
Variance23.813504
MonotonicityNot monotonic
2024-01-14T15:49:33.640363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 386
77.2%
3.5135 1
 
0.2%
2.0565 1
 
0.2%
2.105 1
 
0.2%
9.6596 1
 
0.2%
2.4505 1
 
0.2%
23.1503 1
 
0.2%
3.4335 1
 
0.2%
0.8569 1
 
0.2%
3.165 1
 
0.2%
Other values (105) 105
 
21.0%
ValueCountFrequency (%)
0.0 386
77.2%
0.0006 1
 
0.2%
0.0011 1
 
0.2%
0.0018 1
 
0.2%
0.0098 1
 
0.2%
0.0257 1
 
0.2%
0.0455 1
 
0.2%
0.0564 1
 
0.2%
0.0604 1
 
0.2%
0.0631 1
 
0.2%
ValueCountFrequency (%)
69.9065 1
0.2%
56.566 1
0.2%
24.7801 1
0.2%
24.1388 1
0.2%
23.8227 1
0.2%
23.1503 1
0.2%
17.6696 1
0.2%
12.2801 1
0.2%
10.5308 1
0.2%
10.2449 1
0.2%
Distinct123
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9766174
Minimum0
Maximum82.4786
Zeros378
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:33.789616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.228175
Maximum82.4786
Range82.4786
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2953324
Coefficient of variation (CV)4.3981732
Kurtosis262.99971
Mean0.9766174
Median Absolute Deviation (MAD)0
Skewness14.477756
Sum488.3087
Variance18.449881
MonotonicityNot monotonic
2024-01-14T15:49:33.924962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 378
75.6%
2.8755 1
 
0.2%
1.2315 1
 
0.2%
3.3113 1
 
0.2%
3.0607 1
 
0.2%
0.0976 1
 
0.2%
3.261 1
 
0.2%
8.5427 1
 
0.2%
6.2793 1
 
0.2%
1.5135 1
 
0.2%
Other values (113) 113
 
22.6%
ValueCountFrequency (%)
0.0 378
75.6%
0.0085 1
 
0.2%
0.0146 1
 
0.2%
0.0403 1
 
0.2%
0.0466 1
 
0.2%
0.0698 1
 
0.2%
0.0706 1
 
0.2%
0.0976 1
 
0.2%
0.1091 1
 
0.2%
0.1284 1
 
0.2%
ValueCountFrequency (%)
82.4786 1
0.2%
24.1411 1
0.2%
18.9708 1
0.2%
18.2876 1
0.2%
10.0234 1
0.2%
9.6627 1
0.2%
9.3999 1
0.2%
9.3139 1
0.2%
8.5427 1
0.2%
7.6286 1
0.2%
Distinct82
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6116108
Minimum0
Maximum23.1726
Zeros419
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:34.057616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.428835
Maximum23.1726
Range23.1726
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9900941
Coefficient of variation (CV)3.253857
Kurtosis40.847971
Mean0.6116108
Median Absolute Deviation (MAD)0
Skewness5.3135149
Sum305.8054
Variance3.9604744
MonotonicityNot monotonic
2024-01-14T15:49:34.214576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 419
83.8%
2.023 1
 
0.2%
0.413 1
 
0.2%
7.0096 1
 
0.2%
9.0866 1
 
0.2%
3.3846 1
 
0.2%
3.4164 1
 
0.2%
3.3409 1
 
0.2%
5.9608 1
 
0.2%
1.5634 1
 
0.2%
Other values (72) 72
 
14.4%
ValueCountFrequency (%)
0.0 419
83.8%
0.0001 1
 
0.2%
0.0004 1
 
0.2%
0.005 1
 
0.2%
0.0276 1
 
0.2%
0.0579 1
 
0.2%
0.254 1
 
0.2%
0.3478 1
 
0.2%
0.3595 1
 
0.2%
0.413 1
 
0.2%
ValueCountFrequency (%)
23.1726 1
0.2%
12.9982 1
0.2%
10.5951 1
0.2%
10.3318 1
0.2%
9.9773 1
0.2%
9.0866 1
0.2%
9.002 1
0.2%
7.9494 1
0.2%
7.5301 1
0.2%
7.3602 1
0.2%
Distinct47
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3801134
Minimum0
Maximum25.5997
Zeros454
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:34.639504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.90166
Maximum25.5997
Range25.5997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7925941
Coefficient of variation (CV)4.7159456
Kurtosis96.799382
Mean0.3801134
Median Absolute Deviation (MAD)0
Skewness8.5144552
Sum190.0567
Variance3.2133937
MonotonicityNot monotonic
2024-01-14T15:49:34.812085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 454
90.8%
0.8843 1
 
0.2%
3.9598 1
 
0.2%
4.3692 1
 
0.2%
0.0059 1
 
0.2%
4.3268 1
 
0.2%
4.3336 1
 
0.2%
4.3082 1
 
0.2%
3.4712 1
 
0.2%
2.7307 1
 
0.2%
Other values (37) 37
 
7.4%
ValueCountFrequency (%)
0.0 454
90.8%
0.0004 1
 
0.2%
0.0059 1
 
0.2%
0.0771 1
 
0.2%
0.141 1
 
0.2%
0.1666 1
 
0.2%
0.205 1
 
0.2%
0.2265 1
 
0.2%
0.2959 1
 
0.2%
0.8843 1
 
0.2%
ValueCountFrequency (%)
25.5997 1
0.2%
16.3298 1
0.2%
13.3895 1
0.2%
8.1351 1
0.2%
6.2594 1
0.2%
4.5201 1
0.2%
4.4788 1
0.2%
4.4773 1
0.2%
4.4547 1
0.2%
4.3863 1
0.2%
Distinct29
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3327014
Minimum0
Maximum45.5628
Zeros472
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:34.967822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.06814
Maximum45.5628
Range45.5628
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5940947
Coefficient of variation (CV)7.7970657
Kurtosis218.41977
Mean0.3327014
Median Absolute Deviation (MAD)0
Skewness13.836672
Sum166.3507
Variance6.7293272
MonotonicityNot monotonic
2024-01-14T15:49:35.141259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 472
94.4%
4.8256 1
 
0.2%
5.46 1
 
0.2%
2.3711 1
 
0.2%
5.5987 1
 
0.2%
3.5213 1
 
0.2%
3.1578 1
 
0.2%
5.7976 1
 
0.2%
0.1582 1
 
0.2%
3.7616 1
 
0.2%
Other values (19) 19
 
3.8%
ValueCountFrequency (%)
0.0 472
94.4%
0.0044 1
 
0.2%
0.0476 1
 
0.2%
0.0634 1
 
0.2%
0.1582 1
 
0.2%
1.1499 1
 
0.2%
1.3169 1
 
0.2%
1.5729 1
 
0.2%
1.8663 1
 
0.2%
2.3711 1
 
0.2%
ValueCountFrequency (%)
45.5628 1
0.2%
29.7199 1
0.2%
8.9389 1
0.2%
5.9783 1
0.2%
5.7976 1
0.2%
5.7286 1
0.2%
5.6788 1
0.2%
5.5987 1
0.2%
5.46 1
0.2%
5.36 1
0.2%
Distinct94
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8005492
Minimum0
Maximum21.4784
Zeros404
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:35.268835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.451205
Maximum21.4784
Range21.4784
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3651531
Coefficient of variation (CV)2.9544131
Kurtosis22.444789
Mean0.8005492
Median Absolute Deviation (MAD)0
Skewness4.1796411
Sum400.2746
Variance5.5939491
MonotonicityNot monotonic
2024-01-14T15:49:35.411517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 404
80.8%
5.4513 2
 
0.4%
5.4521 2
 
0.4%
5.4506 2
 
0.4%
0.5039 1
 
0.2%
8.714 1
 
0.2%
7.7294 1
 
0.2%
8.6425 1
 
0.2%
10.897 1
 
0.2%
4.8941 1
 
0.2%
Other values (84) 84
 
16.8%
ValueCountFrequency (%)
0.0 404
80.8%
0.0005 1
 
0.2%
0.0006 1
 
0.2%
0.0076 1
 
0.2%
0.0205 1
 
0.2%
0.0209 1
 
0.2%
0.0215 1
 
0.2%
0.024 1
 
0.2%
0.0247 1
 
0.2%
0.0542 1
 
0.2%
ValueCountFrequency (%)
21.4784 1
0.2%
17.6313 1
0.2%
14.0102 1
0.2%
12.9012 1
0.2%
11.1509 1
0.2%
10.9182 1
0.2%
10.9045 1
0.2%
10.897 1
0.2%
9.3221 1
0.2%
8.714 1
0.2%

등록일자(ldadng_dt)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2021-08-16 01:44:51
500 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-16 01:44:51
2nd row2021-08-16 01:44:51
3rd row2021-08-16 01:44:51
4th row2021-08-16 01:44:51
5th row2021-08-16 01:44:51

Common Values

ValueCountFrequency (%)
2021-08-16 01:44:51 500
100.0%

Length

2024-01-14T15:49:35.533916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:49:35.630454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-16 500
50.0%
01:44:51 500
50.0%

Sample

일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)전체순위(lvpop_sn)대도시권거주지코드(mlng_resdnc_code_se)생활인구합계(tot_lvpop_co)남자10~14세(male_f10t14_lvpop_co)남자15~19세(male_f15t19_lvpop_co)남자20~24세(male_f20t24_lvpop_co)남자25~29세(male_f25t29_lvpop_co)남자30~34세(male_f30t34_lvpop_co)남자35~39세(male_f35t39_lvpop_co)남자40~44세(male_f40t44_lvpop_co)남자45~49세(male_f45t49_lvpop_co)남자50~54세(male_f50t54_lvpop_co)남자55~59세(male_f55t59_lvpop_co)남자60~64세(male_f60t64_lvpop_co)남자65~69세(male_f65t69_lvpop_co)남자70~74세(male_f70t74_lvpop_co)남자75~79세(male_f75t79_lvpop_co)여자10~14세(female_f10t14_lvpop_co)여자15~19세(female_f15t19_lvpop_co)여자20~24세(female_f20t24_lvpop_co)여자25~29세(female_f25t29_lvpop_co)여자30~34세(female_f30t34_lvpop_co)여자35~39세(female_f35t39_lvpop_co)여자40~44세(female_f40t44_lvpop_co)여자45~49세(female_f45t49_lvpop_co)여자50~54세(female_f50t54_lvpop_co)여자55~59세(female_f55t59_lvpop_co)여자60~64세(female_f60t64_lvpop_co)여자65~69세(female_f65t69_lvpop_co)여자70~74세(female_f70t74_lvpop_co)여자75~79세(female_f75t79_lvpop_co)장기체류_외국인(lngtr_stay_frgnr_co)등록일자(ldadng_dt)
020181109201162057551412873.09840.00.00.00.00.00.00.04.97313.1370.00.02.93990.00.00.00.15110.05922.58330.02.88920.00.00.00.00.00.00.04.82563.23492021-08-16 01:44:51
120211014811230536432826012.47640.00.03.07730.00.00.00.6364.42410.00.00.45684.08960.00.00.05.67160.00.00.00.00.00.00.04.74190.16960.00.00.00.02021-08-16 01:44:51
220190510101141052026411359.7550.00.05.72080.00.06.86382.81480.01.51910.02.0850.00.00.00.00.00.00.00.03.43370.00.01.78220.85817.62860.00.00.00.02021-08-16 01:44:51
320210829201174055051415907.04750.05.26493.43220.00.013.41450.00.00.00.00.00.04.98348.90070.00.00.00.00.00.01.81760.00.72830.00.00.00.88430.00.02021-08-16 01:44:51
420200601231168060013415509.49040.00.00.08.1880.00.17793.82780.03.11750.01.8590.00.00.01750.00.00.39560.06240.03.96840.02.55430.00.00.04030.00.00.00.02021-08-16 01:44:51
52021010811120054052700026.86490.00.01.99772.5375.57840.02.77810.00.00.00.02.9580.00.00.00.00.00.00.00.00.00.00.01.460.00.00.00.014.01022021-08-16 01:44:51
6202001311711545680264183040.85030.00.00.04.85970.00.00.00.02.77940.00.00.00.00.00.00.00.01.05780.00.00.00.00.00.03.05650.00.00.00.02021-08-16 01:44:51
720190922101154564074127371.69350.00.00.00.02.77060.00.00.00.05.74320.13020.00.00.00.00.00.02.57080.00.00.07.6993.03350.00.51070.00.22650.00.02021-08-16 01:44:51
820190924141171063229418205.14040.00.02.80130.00.00.00.00.00.011.65170.08132.38110.00.00.00.035.03740.00.00.00.00.00.00050.00060.00.00.00.03.69322021-08-16 01:44:51
9202103102011440555102600020.9330.00.21140.00.00.00.01.64793.73850.00.00.00.00.04.51490.00.03.15910.08720.07.1470.00.00.00.00.00.00.00.00.02021-08-16 01:44:51
일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)전체순위(lvpop_sn)대도시권거주지코드(mlng_resdnc_code_se)생활인구합계(tot_lvpop_co)남자10~14세(male_f10t14_lvpop_co)남자15~19세(male_f15t19_lvpop_co)남자20~24세(male_f20t24_lvpop_co)남자25~29세(male_f25t29_lvpop_co)남자30~34세(male_f30t34_lvpop_co)남자35~39세(male_f35t39_lvpop_co)남자40~44세(male_f40t44_lvpop_co)남자45~49세(male_f45t49_lvpop_co)남자50~54세(male_f50t54_lvpop_co)남자55~59세(male_f55t59_lvpop_co)남자60~64세(male_f60t64_lvpop_co)남자65~69세(male_f65t69_lvpop_co)남자70~74세(male_f70t74_lvpop_co)남자75~79세(male_f75t79_lvpop_co)여자10~14세(female_f10t14_lvpop_co)여자15~19세(female_f15t19_lvpop_co)여자20~24세(female_f20t24_lvpop_co)여자25~29세(female_f25t29_lvpop_co)여자30~34세(female_f30t34_lvpop_co)여자35~39세(female_f35t39_lvpop_co)여자40~44세(female_f40t44_lvpop_co)여자45~49세(female_f45t49_lvpop_co)여자50~54세(female_f50t54_lvpop_co)여자55~59세(female_f55t59_lvpop_co)여자60~64세(female_f60t64_lvpop_co)여자65~69세(female_f65t69_lvpop_co)여자70~74세(female_f70t74_lvpop_co)여자75~79세(female_f75t79_lvpop_co)장기체류_외국인(lngtr_stay_frgnr_co)등록일자(ldadng_dt)
49020180522141156062013416305.74250.00.00.03.72380.00.00.00.00.00.00.00.00.00.00.00.00.01.84780.00.03.70190.063.39453.34946.67290.00.00.00.02021-08-16 01:44:51
491202011011411680531365000028.68320.00.00.00.00.00.00.010.035412.63790.3430.09.42990.00.00.00.00.00.00.00.27590.04.003225.18670.00.06980.00.00.00.02021-08-16 01:44:51
49220190123141156061010290003.9250.00.00.00.027.08777.65910.04.99044.84610.00.00.00.00.00.00.00.00.00.00.00.00.02.97343.53510.00.00.00.00.02021-08-16 01:44:51
4932019110261129057510414802.81640.00.00.00.00.03.39770.00.73660.00.26311.20372.31653.23350.00.01.68410.050.6170.00.03.28383.91790.00.00.00.00.00.00.02021-08-16 01:44:51
49420190111201156060531411319.11630.00.00.91860.00560.00.00.00.00.03.71810.00.00.00.00.00.03.09670.00.01.35340.02.50090.00.04.20710.00.00.00.02021-08-16 01:44:51
49520200213211129071552440002.56360.00.020.25225.06850.00.012.92760.00.00.00.02.89830.00.00.00.00.00.00.00.00.00.00.00.00.00.04.22120.00.02021-08-16 01:44:51
49620210102111165065137413602.88770.00.00.00.00.03.49610.00.05.61070.00.00.00.00.00.00.00.00.00.00.00.03.89270.00.00.00.00.00.05.45212021-08-16 01:44:51
4972019041716112006705281852.60460.00.00.00.00.00.01.56283.47660.06.84451.89740.00.00.00.00.01.86420.01.33560.00030.00.00.69130.00.00.00.00.00.02021-08-16 01:44:51
49820200607141132070064139029.54060.00.00.02.6920.03.76860.00.00.00.01.53950.00.00.00.00.00.00.00.00.00.00.09.1520.00.00.00.00.03.73762021-08-16 01:44:51
499201712190114105657416305.69350.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.013.40513.98110.00.00.00.00.00.00.00.00.23222021-08-16 01:44:51