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

Categorical2
Numeric34

Alerts

일자(stdr_de_id) has constant value ""Constant
등록일자(ldadng_dt) has constant value ""Constant
생활인구합계(tot_lvpop_co) has unique valuesUnique
시간(tmzon_pd_se) has 19 (3.8%) zerosZeros
남자10~14세(male_f10t14_lvpop_co) has 473 (94.6%) zerosZeros
남자15~19세(male_f15t19_lvpop_co) has 466 (93.2%) zerosZeros
남자20~24세(male_f20t24_lvpop_co) has 432 (86.4%) zerosZeros
남자25~29세(male_f25t29_lvpop_co) has 392 (78.4%) zerosZeros
남자30~34세(male_f30t34_lvpop_co) has 387 (77.4%) zerosZeros
남자35~39세(male_f35t39_lvpop_co) has 421 (84.2%) zerosZeros
남자40~44세(male_f40t44_lvpop_co) has 419 (83.8%) zerosZeros
남자45~49세(male_f45t49_lvpop_co) has 430 (86.0%) zerosZeros
남자50~54세(male_f50t54_lvpop_co) has 414 (82.8%) zerosZeros
남자55~59세(male_f55t59_lvpop_co) has 416 (83.2%) zerosZeros
남자60~64세(male_f60t64_lvpop_co) has 418 (83.6%) zerosZeros
남자65~69세(male_f65t69_lvpop_co) has 441 (88.2%) zerosZeros
남자70~74세(male_f70t74_lvpop_co) has 462 (92.4%) zerosZeros
남자75~79세(male_f75t79_lvpop_co) has 451 (90.2%) zerosZeros
여자10~14세(female_f10t14_lvpop_co) has 471 (94.2%) zerosZeros
여자15~19세(female_f15t19_lvpop_co) has 467 (93.4%) zerosZeros
여자20~24세(female_f20t24_lvpop_co) has 412 (82.4%) zerosZeros
여자25~29세(female_f25t29_lvpop_co) has 369 (73.8%) zerosZeros
여자30~34세(female_f30t34_lvpop_co) has 406 (81.2%) zerosZeros
여자35~39세(female_f35t39_lvpop_co) has 420 (84.0%) zerosZeros
여자40~44세(female_f40t44_lvpop_co) has 436 (87.2%) zerosZeros
여자45~49세(female_f45t49_lvpop_co) has 433 (86.6%) zerosZeros
여자50~54세(female_f50t54_lvpop_co) has 424 (84.8%) zerosZeros
여자55~59세(female_f55t59_lvpop_co) has 433 (86.6%) zerosZeros
여자60~64세(female_f60t64_lvpop_co) has 413 (82.6%) zerosZeros
여자65~69세(female_f65t69_lvpop_co) has 449 (89.8%) zerosZeros
여자70~74세(female_f70t74_lvpop_co) has 470 (94.0%) zerosZeros
여자75~79세(female_f75t79_lvpop_co) has 483 (96.6%) zerosZeros
장기체류_외국인(lngtr_stay_frgnr_co) has 442 (88.4%) zerosZeros

Reproduction

Analysis started2024-01-14 06:49:36.588195
Analysis finished2024-01-14 06:49:36.910387
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자(stdr_de_id)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
20210814
500 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210814
2nd row20210814
3rd row20210814
4th row20210814
5th row20210814

Common Values

ValueCountFrequency (%)
20210814 500
100.0%

Length

2024-01-14T15:49:36.978722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:49:37.067558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210814 500
100.0%

시간(tmzon_pd_se)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.928
Minimum0
Maximum23
Zeros19
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:37.154634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation6.3884615
Coefficient of variation (CV)0.53558531
Kurtosis-0.97203073
Mean11.928
Median Absolute Deviation (MAD)5
Skewness-0.10644037
Sum5964
Variance40.812441
MonotonicityNot monotonic
2024-01-14T15:49:37.259948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11 32
 
6.4%
9 30
 
6.0%
17 27
 
5.4%
19 26
 
5.2%
12 25
 
5.0%
14 24
 
4.8%
8 24
 
4.8%
10 24
 
4.8%
18 24
 
4.8%
16 22
 
4.4%
Other values (14) 242
48.4%
ValueCountFrequency (%)
0 19
3.8%
1 11
 
2.2%
2 19
3.8%
3 13
2.6%
4 13
2.6%
5 20
4.0%
6 17
3.4%
7 19
3.8%
8 24
4.8%
9 30
6.0%
ValueCountFrequency (%)
23 15
3.0%
22 18
3.6%
21 20
4.0%
20 15
3.0%
19 26
5.2%
18 24
4.8%
17 27
5.4%
16 22
4.4%
15 21
4.2%
14 24
4.8%
Distinct284
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11435521
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:37.421026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11110710
Q111230568
median11440695
Q311650520
95-th percentile11740520
Maximum11740700
Range630185
Interquartile range (IQR)419952.5

Descriptive statistics

Standard deviation207124.92
Coefficient of variation (CV)0.018112416
Kurtosis-1.4139314
Mean11435521
Median Absolute Deviation (MAD)209886
Skewness-0.072390857
Sum5.7177607 × 109
Variance4.2900734 × 1010
MonotonicityNot monotonic
2024-01-14T15:49:37.560616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680521 5
 
1.0%
11110560 5
 
1.0%
11110515 5
 
1.0%
11170660 4
 
0.8%
11170690 4
 
0.8%
11560710 4
 
0.8%
11590510 4
 
0.8%
11710641 4
 
0.8%
11440630 4
 
0.8%
11500570 4
 
0.8%
Other values (274) 457
91.4%
ValueCountFrequency (%)
11110515 5
1.0%
11110530 2
 
0.4%
11110540 2
 
0.4%
11110560 5
1.0%
11110580 1
 
0.2%
11110600 2
 
0.4%
11110615 1
 
0.2%
11110630 1
 
0.2%
11110640 1
 
0.2%
11110670 3
0.6%
ValueCountFrequency (%)
11740700 2
0.4%
11740690 1
 
0.2%
11740685 1
 
0.2%
11740660 3
0.6%
11740650 2
0.4%
11740640 1
 
0.2%
11740620 3
0.6%
11740610 3
0.6%
11740590 1
 
0.2%
11740580 2
0.4%

순위(lvpop_sn)
Real number (ℝ)

Distinct246
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.556
Minimum1
Maximum401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:37.694434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q157
median120.5
Q3190.5
95-th percentile311.15
Maximum401
Range400
Interquartile range (IQR)133.5

Descriptive statistics

Standard deviation90.99005
Coefficient of variation (CV)0.68128763
Kurtosis-0.26523421
Mean133.556
Median Absolute Deviation (MAD)65.5
Skewness0.65392162
Sum66778
Variance8279.1892
MonotonicityNot monotonic
2024-01-14T15:49:37.844530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 6
 
1.2%
17 6
 
1.2%
19 5
 
1.0%
53 5
 
1.0%
29 5
 
1.0%
123 5
 
1.0%
13 5
 
1.0%
54 5
 
1.0%
157 4
 
0.8%
173 4
 
0.8%
Other values (236) 450
90.0%
ValueCountFrequency (%)
1 1
 
0.2%
3 2
 
0.4%
5 4
0.8%
6 2
 
0.4%
7 3
0.6%
8 2
 
0.4%
10 4
0.8%
11 2
 
0.4%
12 2
 
0.4%
13 5
1.0%
ValueCountFrequency (%)
401 1
0.2%
378 1
0.2%
376 1
0.2%
375 1
0.2%
367 1
0.2%
360 1
0.2%
357 1
0.2%
355 1
0.2%
349 1
0.2%
347 1
0.2%
Distinct298
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11440564
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:38.016529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140590
Q111290570
median11440660
Q311620634
95-th percentile11740530
Maximum11740700
Range630185
Interquartile range (IQR)330063.75

Descriptive statistics

Standard deviation193839.95
Coefficient of variation (CV)0.016943216
Kurtosis-1.2670862
Mean11440564
Median Absolute Deviation (MAD)179967.5
Skewness-0.038528795
Sum5.7202821 × 109
Variance3.7573926 × 1010
MonotonicityNot monotonic
2024-01-14T15:49:38.198348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11740685 5
 
1.0%
11710650 5
 
1.0%
11380625 4
 
0.8%
11215780 4
 
0.8%
11620735 4
 
0.8%
11260565 4
 
0.8%
11560720 4
 
0.8%
11260620 4
 
0.8%
11680630 4
 
0.8%
11110515 4
 
0.8%
Other values (288) 458
91.6%
ValueCountFrequency (%)
11110515 4
0.8%
11110530 2
0.4%
11110560 2
0.4%
11110600 1
 
0.2%
11110615 2
0.4%
11110630 2
0.4%
11110640 1
 
0.2%
11110650 3
0.6%
11110670 2
0.4%
11110690 1
 
0.2%
ValueCountFrequency (%)
11740700 1
 
0.2%
11740685 5
1.0%
11740660 1
 
0.2%
11740650 1
 
0.2%
11740620 1
 
0.2%
11740610 3
0.6%
11740590 2
 
0.4%
11740580 1
 
0.2%
11740570 2
 
0.4%
11740560 1
 
0.2%

생활인구합계(tot_lvpop_co)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.34236
Minimum0.0001
Maximum1972.9021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:38.354593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0001
5-th percentile0.2468
Q12.5528
median4.809
Q310.537925
95-th percentile54.71494
Maximum1972.9021
Range1972.902
Interquartile range (IQR)7.985125

Descriptive statistics

Standard deviation151.13255
Coefficient of variation (CV)5.5274144
Kurtosis109.81086
Mean27.34236
Median Absolute Deviation (MAD)3.0996
Skewness9.9981291
Sum13671.18
Variance22841.048
MonotonicityNot monotonic
2024-01-14T15:49:38.511786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2733 1
 
0.2%
11.1739 1
 
0.2%
1.0694 1
 
0.2%
3.0327 1
 
0.2%
6.2446 1
 
0.2%
1.0174 1
 
0.2%
2.3394 1
 
0.2%
162.4484 1
 
0.2%
10.159 1
 
0.2%
35.4652 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
0.0001 1
0.2%
0.0006 1
0.2%
0.0016 1
0.2%
0.0043 1
0.2%
0.0077 1
0.2%
0.0107 1
0.2%
0.0343 1
0.2%
0.0383 1
0.2%
0.0402 1
0.2%
0.0429 1
0.2%
ValueCountFrequency (%)
1972.9021 1
0.2%
1835.8969 1
0.2%
1261.4962 1
0.2%
1041.895 1
0.2%
768.7704 1
0.2%
650.6758 1
0.2%
613.892 1
0.2%
485.6424 1
0.2%
162.4484 1
0.2%
145.7117 1
0.2%

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

ZEROS 

Distinct28
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4682548
Minimum0
Maximum75.3354
Zeros473
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:38.653174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.243105
Maximum75.3354
Range75.3354
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7789932
Coefficient of variation (CV)8.070378
Kurtosis312.80355
Mean0.4682548
Median Absolute Deviation (MAD)0
Skewness16.378494
Sum234.1274
Variance14.28079
MonotonicityNot monotonic
2024-01-14T15:49:38.771741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 473
94.6%
5.5945 1
 
0.2%
9.2669 1
 
0.2%
5.4008 1
 
0.2%
5.9156 1
 
0.2%
5.1696 1
 
0.2%
0.1856 1
 
0.2%
1.3357 1
 
0.2%
3.8638 1
 
0.2%
5.4561 1
 
0.2%
Other values (18) 18
 
3.6%
ValueCountFrequency (%)
0.0 473
94.6%
0.0259 1
 
0.2%
0.1856 1
 
0.2%
1.3357 1
 
0.2%
2.8413 1
 
0.2%
3.2422 1
 
0.2%
3.3168 1
 
0.2%
3.4099 1
 
0.2%
3.8638 1
 
0.2%
3.9748 1
 
0.2%
ValueCountFrequency (%)
75.3354 1
0.2%
22.2768 1
0.2%
16.339 1
0.2%
13.397 1
0.2%
9.2669 1
0.2%
8.4813 1
0.2%
8.3126 1
0.2%
6.616 1
0.2%
5.9156 1
0.2%
5.7233 1
0.2%

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

ZEROS 

Distinct35
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8520536
Minimum0
Maximum195.7008
Zeros466
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:38.895836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.100075
Maximum195.7008
Range195.7008
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.1337872
Coefficient of variation (CV)10.719733
Kurtosis417.63578
Mean0.8520536
Median Absolute Deviation (MAD)0
Skewness19.736535
Sum426.0268
Variance83.426069
MonotonicityNot monotonic
2024-01-14T15:49:39.053990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 466
93.2%
0.9155 1
 
0.2%
0.4975 1
 
0.2%
2.206 1
 
0.2%
10.8136 1
 
0.2%
1.8585 1
 
0.2%
6.5161 1
 
0.2%
2.0945 1
 
0.2%
20.6567 1
 
0.2%
7.6612 1
 
0.2%
Other values (25) 25
 
5.0%
ValueCountFrequency (%)
0.0 466
93.2%
0.0071 1
 
0.2%
0.0204 1
 
0.2%
0.4975 1
 
0.2%
0.7565 1
 
0.2%
0.8816 1
 
0.2%
0.9155 1
 
0.2%
0.9455 1
 
0.2%
1.8585 1
 
0.2%
2.0945 1
 
0.2%
ValueCountFrequency (%)
195.7008 1
0.2%
31.274 1
0.2%
30.9754 1
0.2%
20.6567 1
0.2%
20.1919 1
0.2%
15.1397 1
0.2%
11.9728 1
0.2%
10.8136 1
0.2%
7.6612 1
0.2%
6.5161 1
0.2%

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

ZEROS 

Distinct69
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5609992
Minimum0
Maximum27.9612
Zeros432
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:39.194766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.36656
Maximum27.9612
Range27.9612
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4323235
Coefficient of variation (CV)4.3356987
Kurtosis73.989621
Mean0.5609992
Median Absolute Deviation (MAD)0
Skewness7.8793475
Sum280.4996
Variance5.9161975
MonotonicityNot monotonic
2024-01-14T15:49:39.328886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 432
86.4%
3.2713 1
 
0.2%
3.4092 1
 
0.2%
3.2925 1
 
0.2%
3.3893 1
 
0.2%
3.3677 1
 
0.2%
2.8334 1
 
0.2%
1.2641 1
 
0.2%
25.6069 1
 
0.2%
3.4213 1
 
0.2%
Other values (59) 59
 
11.8%
ValueCountFrequency (%)
0.0 432
86.4%
0.0002 1
 
0.2%
0.0005 1
 
0.2%
0.0302 1
 
0.2%
0.0355 1
 
0.2%
0.0505 1
 
0.2%
0.0514 1
 
0.2%
0.0591 1
 
0.2%
0.1387 1
 
0.2%
0.8063 1
 
0.2%
ValueCountFrequency (%)
27.9612 1
0.2%
25.6069 1
0.2%
23.5841 1
0.2%
14.8954 1
0.2%
13.198 1
0.2%
11.8011 1
0.2%
7.7848 1
0.2%
6.4352 1
0.2%
5.6583 1
0.2%
4.4573 1
0.2%

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

ZEROS 

Distinct108
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1585924
Minimum0
Maximum149.1391
Zeros392
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:39.493757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.206445
Maximum149.1391
Range149.1391
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.6873838
Coefficient of variation (CV)6.6351064
Kurtosis282.25592
Mean1.1585924
Median Absolute Deviation (MAD)0
Skewness15.526062
Sum579.2962
Variance59.09587
MonotonicityNot monotonic
2024-01-14T15:49:39.907860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 392
78.4%
2.5471 2
 
0.4%
1.048 1
 
0.2%
4.3343 1
 
0.2%
0.2194 1
 
0.2%
18.2542 1
 
0.2%
2.4915 1
 
0.2%
0.0042 1
 
0.2%
3.0141 1
 
0.2%
0.0001 1
 
0.2%
Other values (98) 98
 
19.6%
ValueCountFrequency (%)
0.0 392
78.4%
0.0001 1
 
0.2%
0.0042 1
 
0.2%
0.0044 1
 
0.2%
0.0194 1
 
0.2%
0.0256 1
 
0.2%
0.0331 1
 
0.2%
0.085 1
 
0.2%
0.1134 1
 
0.2%
0.1346 1
 
0.2%
ValueCountFrequency (%)
149.1391 1
0.2%
52.9728 1
0.2%
44.0866 1
0.2%
29.2705 1
0.2%
22.0666 1
0.2%
18.2542 1
0.2%
17.8712 1
0.2%
17.2025 1
0.2%
9.1522 1
0.2%
8.3975 1
0.2%

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

ZEROS 

Distinct113
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.771489
Minimum0
Maximum80.2063
Zeros387
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:40.035775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.89241
Maximum80.2063
Range80.2063
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0365033
Coefficient of variation (CV)5.2320944
Kurtosis303.41722
Mean0.771489
Median Absolute Deviation (MAD)0
Skewness15.912981
Sum385.7445
Variance16.293359
MonotonicityNot monotonic
2024-01-14T15:49:40.192336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 387
77.4%
2.9574 2
 
0.4%
3.9604 1
 
0.2%
1.8122 1
 
0.2%
2.9458 1
 
0.2%
2.1499 1
 
0.2%
0.1607 1
 
0.2%
6.4257 1
 
0.2%
0.1091 1
 
0.2%
0.0787 1
 
0.2%
Other values (103) 103
 
20.6%
ValueCountFrequency (%)
0.0 387
77.4%
0.0004 1
 
0.2%
0.0031 1
 
0.2%
0.0121 1
 
0.2%
0.0136 1
 
0.2%
0.0254 1
 
0.2%
0.0261 1
 
0.2%
0.0303 1
 
0.2%
0.052 1
 
0.2%
0.0697 1
 
0.2%
ValueCountFrequency (%)
80.2063 1
0.2%
20.386 1
0.2%
18.1126 1
0.2%
11.631 1
0.2%
11.2029 1
0.2%
10.7667 1
0.2%
9.9265 1
0.2%
9.2169 1
0.2%
8.3418 1
0.2%
6.4257 1
0.2%

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

ZEROS 

Distinct79
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8057316
Minimum0
Maximum66.7618
Zeros421
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:40.368938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.4646
Maximum66.7618
Range66.7618
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4488227
Coefficient of variation (CV)5.5214698
Kurtosis142.29843
Mean0.8057316
Median Absolute Deviation (MAD)0
Skewness11.124588
Sum402.8658
Variance19.792024
MonotonicityNot monotonic
2024-01-14T15:49:40.499622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 421
84.2%
3.4646 2
 
0.4%
3.466 1
 
0.2%
13.9461 1
 
0.2%
0.9121 1
 
0.2%
0.0458 1
 
0.2%
2.4066 1
 
0.2%
4.6417 1
 
0.2%
3.4376 1
 
0.2%
13.7585 1
 
0.2%
Other values (69) 69
 
13.8%
ValueCountFrequency (%)
0.0 421
84.2%
0.0002 1
 
0.2%
0.0004 1
 
0.2%
0.0087 1
 
0.2%
0.0458 1
 
0.2%
0.0807 1
 
0.2%
0.1052 1
 
0.2%
0.1113 1
 
0.2%
0.1348 1
 
0.2%
0.2002 1
 
0.2%
ValueCountFrequency (%)
66.7618 1
0.2%
52.4069 1
0.2%
38.0894 1
0.2%
13.9461 1
0.2%
13.7585 1
0.2%
12.8772 1
0.2%
12.3881 1
0.2%
10.373 1
0.2%
9.5467 1
0.2%
6.981 1
0.2%

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

ZEROS 

Distinct82
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8135062
Minimum0
Maximum87.213
Zeros419
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:40.638638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.345705
Maximum87.213
Range87.213
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8415041
Coefficient of variation (CV)5.951404
Kurtosis219.9216
Mean0.8135062
Median Absolute Deviation (MAD)0
Skewness13.630025
Sum406.7531
Variance23.440162
MonotonicityNot monotonic
2024-01-14T15:49:40.774917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 419
83.8%
0.7792 1
 
0.2%
3.3299 1
 
0.2%
0.3364 1
 
0.2%
9.4269 1
 
0.2%
3.2739 1
 
0.2%
3.3961 1
 
0.2%
2.26 1
 
0.2%
0.0161 1
 
0.2%
3.3003 1
 
0.2%
Other values (72) 72
 
14.4%
ValueCountFrequency (%)
0.0 419
83.8%
0.0007 1
 
0.2%
0.0066 1
 
0.2%
0.0161 1
 
0.2%
0.0174 1
 
0.2%
0.0304 1
 
0.2%
0.0368 1
 
0.2%
0.103 1
 
0.2%
0.1389 1
 
0.2%
0.1494 1
 
0.2%
ValueCountFrequency (%)
87.213 1
0.2%
41.9659 1
0.2%
37.1965 1
0.2%
10.5944 1
0.2%
10.3783 1
0.2%
10.0844 1
0.2%
9.9614 1
0.2%
9.4269 1
0.2%
7.6078 1
0.2%
6.7838 1
0.2%

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

ZEROS 

Distinct71
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.404454
Minimum0
Maximum173.7159
Zeros430
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:40.921313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.75426
Maximum173.7159
Range173.7159
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.818951
Coefficient of variation (CV)8.4153348
Kurtosis157.75883
Mean1.404454
Median Absolute Deviation (MAD)0
Skewness12.315781
Sum702.227
Variance139.6876
MonotonicityNot monotonic
2024-01-14T15:49:41.065704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 430
86.0%
3.3581 1
 
0.2%
0.4555 1
 
0.2%
0.0101 1
 
0.2%
3.7208 1
 
0.2%
3.7831 1
 
0.2%
144.7834 1
 
0.2%
0.9817 1
 
0.2%
3.7293 1
 
0.2%
3.4497 1
 
0.2%
Other values (61) 61
 
12.2%
ValueCountFrequency (%)
0.0 430
86.0%
0.0007 1
 
0.2%
0.0026 1
 
0.2%
0.0059 1
 
0.2%
0.0101 1
 
0.2%
0.0176 1
 
0.2%
0.0381 1
 
0.2%
0.1254 1
 
0.2%
0.1382 1
 
0.2%
0.1699 1
 
0.2%
ValueCountFrequency (%)
173.7159 1
0.2%
144.7834 1
0.2%
125.261 1
0.2%
53.1818 1
0.2%
14.2225 1
0.2%
11.863 1
0.2%
8.2693 1
0.2%
6.1247 1
0.2%
5.8146 1
0.2%
5.2002 1
0.2%

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

ZEROS 

Distinct86
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4685212
Minimum0
Maximum271.6102
Zeros414
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:41.243524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.200455
Maximum271.6102
Range271.6102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.920989
Coefficient of variation (CV)8.7986399
Kurtosis385.79922
Mean1.4685212
Median Absolute Deviation (MAD)0
Skewness18.738129
Sum734.2606
Variance166.95196
MonotonicityNot monotonic
2024-01-14T15:49:41.381821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 414
82.8%
3.1163 2
 
0.4%
4.8094 1
 
0.2%
1.7403 1
 
0.2%
1.8695 1
 
0.2%
3.5384 1
 
0.2%
3.164 1
 
0.2%
18.9088 1
 
0.2%
1.5993 1
 
0.2%
1.317 1
 
0.2%
Other values (76) 76
 
15.2%
ValueCountFrequency (%)
0.0 414
82.8%
0.0007 1
 
0.2%
0.0137 1
 
0.2%
0.0171 1
 
0.2%
0.0221 1
 
0.2%
0.0252 1
 
0.2%
0.0378 1
 
0.2%
0.0453 1
 
0.2%
0.0635 1
 
0.2%
0.0697 1
 
0.2%
ValueCountFrequency (%)
271.6102 1
0.2%
60.8816 1
0.2%
40.283 1
0.2%
31.9886 1
0.2%
31.1232 1
0.2%
29.4426 1
0.2%
28.2108 1
0.2%
18.9088 1
0.2%
17.7374 1
0.2%
14.7268 1
0.2%

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

ZEROS 

Distinct85
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.841643
Minimum0
Maximum49.2397
Zeros416
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:41.520271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.47345
Maximum49.2397
Range49.2397
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1415297
Coefficient of variation (CV)4.9207677
Kurtosis83.934858
Mean0.841643
Median Absolute Deviation (MAD)0
Skewness8.5241413
Sum420.8215
Variance17.152268
MonotonicityNot monotonic
2024-01-14T15:49:41.650734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 416
83.2%
16.6495 1
 
0.2%
3.3995 1
 
0.2%
3.2774 1
 
0.2%
3.4672 1
 
0.2%
3.4419 1
 
0.2%
1.0975 1
 
0.2%
9.6971 1
 
0.2%
2.6435 1
 
0.2%
0.0659 1
 
0.2%
Other values (75) 75
 
15.0%
ValueCountFrequency (%)
0.0 416
83.2%
0.0001 1
 
0.2%
0.0301 1
 
0.2%
0.0375 1
 
0.2%
0.0586 1
 
0.2%
0.0659 1
 
0.2%
0.1203 1
 
0.2%
0.1378 1
 
0.2%
0.1602 1
 
0.2%
0.1857 1
 
0.2%
ValueCountFrequency (%)
49.2397 1
0.2%
47.4057 1
0.2%
35.6371 1
0.2%
28.6376 1
0.2%
21.3856 1
0.2%
16.6495 1
0.2%
14.6611 1
0.2%
13.9944 1
0.2%
12.4688 1
0.2%
11.6005 1
0.2%

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

ZEROS 

Distinct83
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5047698
Minimum0
Maximum32.2481
Zeros418
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:41.772165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.796555
Maximum32.2481
Range32.2481
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1849946
Coefficient of variation (CV)4.3286952
Kurtosis118.36233
Mean0.5047698
Median Absolute Deviation (MAD)0
Skewness9.6752139
Sum252.3849
Variance4.7742015
MonotonicityNot monotonic
2024-01-14T15:49:41.895878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 418
83.6%
2.2953 1
 
0.2%
2.835 1
 
0.2%
2.1729 1
 
0.2%
4.5402 1
 
0.2%
1.9389 1
 
0.2%
3.4402 1
 
0.2%
2.8317 1
 
0.2%
2.7694 1
 
0.2%
0.8424 1
 
0.2%
Other values (73) 73
 
14.6%
ValueCountFrequency (%)
0.0 418
83.6%
0.0001 1
 
0.2%
0.001 1
 
0.2%
0.0019 1
 
0.2%
0.0048 1
 
0.2%
0.0104 1
 
0.2%
0.0118 1
 
0.2%
0.018 1
 
0.2%
0.0399 1
 
0.2%
0.1818 1
 
0.2%
ValueCountFrequency (%)
32.2481 1
0.2%
23.2418 1
0.2%
16.671 1
0.2%
8.4661 1
0.2%
8.2458 1
0.2%
7.1301 1
0.2%
5.6328 1
0.2%
5.6285 1
0.2%
5.5839 1
0.2%
4.5402 1
0.2%

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

ZEROS 

Distinct60
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5009592
Minimum0
Maximum60.0956
Zeros441
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:42.012116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.62533
Maximum60.0956
Range60.0956
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4499856
Coefficient of variation (CV)6.8867597
Kurtosis209.02595
Mean0.5009592
Median Absolute Deviation (MAD)0
Skewness13.553637
Sum250.4796
Variance11.902401
MonotonicityNot monotonic
2024-01-14T15:49:42.132895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 441
88.2%
2.8943 1
 
0.2%
23.2474 1
 
0.2%
2.9417 1
 
0.2%
0.7307 1
 
0.2%
3.0171 1
 
0.2%
0.0127 1
 
0.2%
0.1564 1
 
0.2%
0.1113 1
 
0.2%
5.1382 1
 
0.2%
Other values (50) 50
 
10.0%
ValueCountFrequency (%)
0.0 441
88.2%
0.0095 1
 
0.2%
0.0127 1
 
0.2%
0.0165 1
 
0.2%
0.0306 1
 
0.2%
0.0359 1
 
0.2%
0.0512 1
 
0.2%
0.1113 1
 
0.2%
0.1155 1
 
0.2%
0.1564 1
 
0.2%
ValueCountFrequency (%)
60.0956 1
0.2%
37.7316 1
0.2%
23.2474 1
0.2%
7.1998 1
0.2%
6.0716 1
0.2%
5.9055 1
0.2%
5.8897 1
0.2%
5.8697 1
0.2%
5.8538 1
0.2%
5.8079 1
0.2%

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

ZEROS 

Distinct38
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46933
Minimum0
Maximum50.345
Zeros462
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:42.248018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.84683
Maximum50.345
Range50.345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0773692
Coefficient of variation (CV)6.5569412
Kurtosis160.19972
Mean0.46933
Median Absolute Deviation (MAD)0
Skewness11.527281
Sum234.665
Variance9.4702012
MonotonicityNot monotonic
2024-01-14T15:49:42.368428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 462
92.4%
3.603 2
 
0.4%
7.1833 1
 
0.2%
0.532 1
 
0.2%
4.3758 1
 
0.2%
0.1345 1
 
0.2%
0.6935 1
 
0.2%
14.2205 1
 
0.2%
3.2522 1
 
0.2%
3.6818 1
 
0.2%
Other values (28) 28
 
5.6%
ValueCountFrequency (%)
0.0 462
92.4%
0.0006 1
 
0.2%
0.1345 1
 
0.2%
0.1457 1
 
0.2%
0.1721 1
 
0.2%
0.3946 1
 
0.2%
0.532 1
 
0.2%
0.6935 1
 
0.2%
1.2426 1
 
0.2%
1.506 1
 
0.2%
ValueCountFrequency (%)
50.345 1
0.2%
29.7251 1
0.2%
20.8703 1
0.2%
16.2831 1
0.2%
14.2205 1
0.2%
12.1322 1
0.2%
7.2102 1
0.2%
7.1833 1
0.2%
5.5753 1
0.2%
4.3758 1
0.2%

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

ZEROS 

Distinct49
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54376
Minimum0
Maximum34.0308
Zeros451
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:42.496918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.28847
Maximum34.0308
Range34.0308
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0023066
Coefficient of variation (CV)5.5213819
Kurtosis80.097994
Mean0.54376
Median Absolute Deviation (MAD)0
Skewness8.4953944
Sum271.88
Variance9.0138451
MonotonicityNot monotonic
2024-01-14T15:49:42.643565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 451
90.2%
4.3493 2
 
0.4%
0.0001 1
 
0.2%
0.1295 1
 
0.2%
32.0793 1
 
0.2%
3.6242 1
 
0.2%
15.637 1
 
0.2%
4.3796 1
 
0.2%
2.2458 1
 
0.2%
4.5135 1
 
0.2%
Other values (39) 39
 
7.8%
ValueCountFrequency (%)
0.0 451
90.2%
0.0001 1
 
0.2%
0.0228 1
 
0.2%
0.0725 1
 
0.2%
0.1295 1
 
0.2%
0.1317 1
 
0.2%
0.6973 1
 
0.2%
0.7268 1
 
0.2%
0.7845 1
 
0.2%
0.8919 1
 
0.2%
ValueCountFrequency (%)
34.0308 1
0.2%
32.0793 1
0.2%
29.5207 1
0.2%
21.1645 1
0.2%
19.7165 1
0.2%
15.637 1
0.2%
8.7633 1
0.2%
6.9784 1
0.2%
5.1124 1
0.2%
4.6214 1
0.2%
Distinct29
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3988512
Minimum0
Maximum27.304
Zeros471
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:42.767255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.46767
Maximum27.304
Range27.304
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.423879
Coefficient of variation (CV)6.0771511
Kurtosis76.582494
Mean0.3988512
Median Absolute Deviation (MAD)0
Skewness8.2904032
Sum199.4256
Variance5.8751894
MonotonicityNot monotonic
2024-01-14T15:49:42.887993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 471
94.2%
5.5233 2
 
0.4%
4.5594 1
 
0.2%
15.7111 1
 
0.2%
5.4671 1
 
0.2%
0.0584 1
 
0.2%
5.9606 1
 
0.2%
0.4636 1
 
0.2%
0.9242 1
 
0.2%
3.5734 1
 
0.2%
Other values (19) 19
 
3.8%
ValueCountFrequency (%)
0.0 471
94.2%
0.0019 1
 
0.2%
0.0318 1
 
0.2%
0.0584 1
 
0.2%
0.4636 1
 
0.2%
0.545 1
 
0.2%
0.9242 1
 
0.2%
1.1891 1
 
0.2%
1.2429 1
 
0.2%
2.1761 1
 
0.2%
ValueCountFrequency (%)
27.304 1
0.2%
25.3856 1
0.2%
23.5172 1
0.2%
17.103 1
0.2%
15.7111 1
0.2%
10.1613 1
0.2%
9.3924 1
0.2%
6.1186 1
0.2%
5.9606 1
0.2%
5.5233 2
0.4%
Distinct34
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4463014
Minimum0
Maximum35.5444
Zeros467
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:43.289550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.658135
Maximum35.5444
Range35.5444
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5220709
Coefficient of variation (CV)5.6510485
Kurtosis100.15821
Mean0.4463014
Median Absolute Deviation (MAD)0
Skewness9.0149429
Sum223.1507
Variance6.3608415
MonotonicityNot monotonic
2024-01-14T15:49:43.679240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 467
93.4%
1.5465 1
 
0.2%
9.3168 1
 
0.2%
23.2676 1
 
0.2%
5.2316 1
 
0.2%
0.5847 1
 
0.2%
5.9607 1
 
0.2%
4.744 1
 
0.2%
9.1803 1
 
0.2%
5.1137 1
 
0.2%
Other values (24) 24
 
4.8%
ValueCountFrequency (%)
0.0 467
93.4%
0.0571 1
 
0.2%
0.079 1
 
0.2%
0.1314 1
 
0.2%
0.5847 1
 
0.2%
0.7309 1
 
0.2%
1.0377 1
 
0.2%
1.5465 1
 
0.2%
2.6211 1
 
0.2%
3.3618 1
 
0.2%
ValueCountFrequency (%)
35.5444 1
0.2%
23.2676 1
0.2%
21.2204 1
0.2%
15.3503 1
0.2%
10.2987 1
0.2%
9.3168 1
0.2%
9.1803 1
0.2%
8.6687 1
0.2%
6.0585 1
0.2%
5.9607 1
0.2%
Distinct87
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2108506
Minimum0
Maximum445.3868
Zeros412
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:44.069084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.80427
Maximum445.3868
Range445.3868
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.921716
Coefficient of variation (CV)9.4631976
Kurtosis406.304
Mean2.2108506
Median Absolute Deviation (MAD)0
Skewness19.394986
Sum1105.4253
Variance437.7182
MonotonicityNot monotonic
2024-01-14T15:49:44.507324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 412
82.4%
3.1286 2
 
0.4%
2.4696 2
 
0.4%
0.6103 1
 
0.2%
9.2578 1
 
0.2%
0.0659 1
 
0.2%
11.9686 1
 
0.2%
3.1265 1
 
0.2%
17.8155 1
 
0.2%
2.5598 1
 
0.2%
Other values (77) 77
 
15.4%
ValueCountFrequency (%)
0.0 412
82.4%
0.0009 1
 
0.2%
0.0052 1
 
0.2%
0.0418 1
 
0.2%
0.0659 1
 
0.2%
0.1228 1
 
0.2%
0.1785 1
 
0.2%
0.3165 1
 
0.2%
0.3412 1
 
0.2%
0.3975 1
 
0.2%
ValueCountFrequency (%)
445.3868 1
0.2%
92.4989 1
0.2%
66.0364 1
0.2%
43.6348 1
0.2%
41.0251 1
0.2%
34.0774 1
0.2%
33.2515 1
0.2%
29.9613 1
0.2%
28.5067 1
0.2%
17.8155 1
0.2%
Distinct130
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0405062
Minimum0
Maximum66.196
Zeros369
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:44.649124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.054075
95-th percentile5.16492
Maximum66.196
Range66.196
Interquartile range (IQR)0.054075

Descriptive statistics

Standard deviation4.115872
Coefficient of variation (CV)3.9556439
Kurtosis141.17081
Mean1.0405062
Median Absolute Deviation (MAD)0
Skewness10.433759
Sum520.2531
Variance16.940402
MonotonicityNot monotonic
2024-01-14T15:49:44.791560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 369
73.8%
2.5963 2
 
0.4%
2.5892 2
 
0.4%
2.607 1
 
0.2%
5.3408 1
 
0.2%
2.0899 1
 
0.2%
1.368 1
 
0.2%
5.1919 1
 
0.2%
2.5674 1
 
0.2%
0.2122 1
 
0.2%
Other values (120) 120
 
24.0%
ValueCountFrequency (%)
0.0 369
73.8%
0.0019 1
 
0.2%
0.003 1
 
0.2%
0.0056 1
 
0.2%
0.0075 1
 
0.2%
0.0107 1
 
0.2%
0.0474 1
 
0.2%
0.0741 1
 
0.2%
0.1001 1
 
0.2%
0.134 1
 
0.2%
ValueCountFrequency (%)
66.196 1
0.2%
33.3839 1
0.2%
31.2742 1
0.2%
25.6022 1
0.2%
15.349 1
0.2%
10.5341 1
0.2%
9.7296 1
0.2%
9.0286 1
0.2%
8.7023 1
0.2%
8.694 1
0.2%
Distinct94
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6866514
Minimum0
Maximum26.9002
Zeros406
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:44.970675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.106385
Maximum26.9002
Range26.9002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3834691
Coefficient of variation (CV)3.4711487
Kurtosis51.905769
Mean0.6866514
Median Absolute Deviation (MAD)0
Skewness6.3952175
Sum343.3257
Variance5.6809249
MonotonicityNot monotonic
2024-01-14T15:49:45.147385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 406
81.2%
0.0022 2
 
0.4%
4.6242 1
 
0.2%
3.069 1
 
0.2%
5.5221 1
 
0.2%
3.0674 1
 
0.2%
0.1521 1
 
0.2%
4.7644 1
 
0.2%
4.9307 1
 
0.2%
0.0706 1
 
0.2%
Other values (84) 84
 
16.8%
ValueCountFrequency (%)
0.0 406
81.2%
0.001 1
 
0.2%
0.0022 2
 
0.4%
0.0034 1
 
0.2%
0.0067 1
 
0.2%
0.0212 1
 
0.2%
0.0399 1
 
0.2%
0.0706 1
 
0.2%
0.0845 1
 
0.2%
0.1072 1
 
0.2%
ValueCountFrequency (%)
26.9002 1
0.2%
20.9896 1
0.2%
18.4079 1
0.2%
15.5476 1
0.2%
14.6246 1
0.2%
13.6168 1
0.2%
9.1901 1
0.2%
9.1291 1
0.2%
8.1665 1
0.2%
5.9333 1
0.2%
Distinct80
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4026834
Minimum0
Maximum73.2917
Zeros420
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:45.323303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.38628
Maximum73.2917
Range73.2917
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.3628591
Coefficient of variation (CV)4.5362047
Kurtosis61.732287
Mean1.4026834
Median Absolute Deviation (MAD)0
Skewness7.3019167
Sum701.3417
Variance40.485975
MonotonicityNot monotonic
2024-01-14T15:49:45.507885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 420
84.0%
3.9011 2
 
0.4%
17.3233 1
 
0.2%
0.4053 1
 
0.2%
2.6177 1
 
0.2%
4.3358 1
 
0.2%
0.632 1
 
0.2%
3.8911 1
 
0.2%
1.238 1
 
0.2%
10.7727 1
 
0.2%
Other values (70) 70
 
14.0%
ValueCountFrequency (%)
0.0 420
84.0%
0.0009 1
 
0.2%
0.0732 1
 
0.2%
0.0771 1
 
0.2%
0.0885 1
 
0.2%
0.0963 1
 
0.2%
0.1062 1
 
0.2%
0.3142 1
 
0.2%
0.4053 1
 
0.2%
0.412 1
 
0.2%
ValueCountFrequency (%)
73.2917 1
0.2%
58.9568 1
0.2%
51.6011 1
0.2%
42.2656 1
0.2%
39.0295 1
0.2%
35.0005 1
0.2%
31.7514 1
0.2%
31.3314 1
0.2%
23.1558 1
0.2%
22.5264 1
0.2%
Distinct65
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4315906
Minimum0
Maximum268.8484
Zeros436
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:45.758094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.729575
Maximum268.8484
Range268.8484
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.373773
Coefficient of variation (CV)9.3418977
Kurtosis326.87362
Mean1.4315906
Median Absolute Deviation (MAD)0
Skewness17.067801
Sum715.7953
Variance178.8578
MonotonicityNot monotonic
2024-01-14T15:49:45.954839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 436
87.2%
0.0386 1
 
0.2%
56.5193 1
 
0.2%
0.9595 1
 
0.2%
11.4309 1
 
0.2%
1.4952 1
 
0.2%
23.8244 1
 
0.2%
3.869 1
 
0.2%
1.1847 1
 
0.2%
2.629 1
 
0.2%
Other values (55) 55
 
11.0%
ValueCountFrequency (%)
0.0 436
87.2%
0.002 1
 
0.2%
0.0036 1
 
0.2%
0.0289 1
 
0.2%
0.0386 1
 
0.2%
0.0682 1
 
0.2%
0.0726 1
 
0.2%
0.111 1
 
0.2%
0.2181 1
 
0.2%
0.4061 1
 
0.2%
ValueCountFrequency (%)
268.8484 1
0.2%
89.5413 1
0.2%
67.6331 1
0.2%
56.5193 1
0.2%
23.8244 1
0.2%
20.5074 1
0.2%
20.0164 1
0.2%
11.4309 1
0.2%
10.7396 1
0.2%
7.8462 1
0.2%
Distinct68
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7878044
Minimum0
Maximum73.4605
Zeros433
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:46.118016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.8927
Maximum73.4605
Range73.4605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5723671
Coefficient of variation (CV)5.803937
Kurtosis152.4725
Mean0.7878044
Median Absolute Deviation (MAD)0
Skewness11.332338
Sum393.9022
Variance20.906541
MonotonicityNot monotonic
2024-01-14T15:49:46.280311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 433
86.6%
1.4888 1
 
0.2%
1.0696 1
 
0.2%
7.4269 1
 
0.2%
3.916 1
 
0.2%
42.6836 1
 
0.2%
35.5413 1
 
0.2%
3.9003 1
 
0.2%
6.9618 1
 
0.2%
1.9461 1
 
0.2%
Other values (58) 58
 
11.6%
ValueCountFrequency (%)
0.0 433
86.6%
0.0025 1
 
0.2%
0.0082 1
 
0.2%
0.0121 1
 
0.2%
0.0313 1
 
0.2%
0.0597 1
 
0.2%
0.0826 1
 
0.2%
0.0885 1
 
0.2%
0.2517 1
 
0.2%
0.3712 1
 
0.2%
ValueCountFrequency (%)
73.4605 1
0.2%
42.6836 1
0.2%
35.5413 1
0.2%
32.1905 1
0.2%
17.5125 1
0.2%
10.1243 1
0.2%
10.0364 1
0.2%
7.7255 1
0.2%
7.4269 1
0.2%
6.9618 1
0.2%
Distinct76
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9272964
Minimum0
Maximum76.4908
Zeros424
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:46.425166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.9542
Maximum76.4908
Range76.4908
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9514363
Coefficient of variation (CV)6.4180518
Kurtosis109.92281
Mean0.9272964
Median Absolute Deviation (MAD)0
Skewness10.150957
Sum463.6482
Variance35.419595
MonotonicityNot monotonic
2024-01-14T15:49:46.570670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 424
84.8%
2.9504 2
 
0.4%
6.2197 1
 
0.2%
12.69 1
 
0.2%
0.9976 1
 
0.2%
2.8208 1
 
0.2%
3.0244 1
 
0.2%
2.9599 1
 
0.2%
2.9743 1
 
0.2%
2.3874 1
 
0.2%
Other values (66) 66
 
13.2%
ValueCountFrequency (%)
0.0 424
84.8%
0.009 1
 
0.2%
0.0316 1
 
0.2%
0.05 1
 
0.2%
0.0688 1
 
0.2%
0.0984 1
 
0.2%
0.1103 1
 
0.2%
0.1206 1
 
0.2%
0.1868 1
 
0.2%
0.2829 1
 
0.2%
ValueCountFrequency (%)
76.4908 1
0.2%
65.8677 1
0.2%
61.6259 1
0.2%
49.3259 1
0.2%
23.0117 1
0.2%
20.1362 1
0.2%
12.69 1
0.2%
11.5024 1
0.2%
6.2197 1
0.2%
5.9212 1
0.2%
Distinct68
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.109554
Minimum0
Maximum117.2175
Zeros433
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:46.728331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.077275
Maximum117.2175
Range117.2175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.135482
Coefficient of variation (CV)6.4309461
Kurtosis191.36043
Mean1.109554
Median Absolute Deviation (MAD)0
Skewness13.032066
Sum554.777
Variance50.915103
MonotonicityNot monotonic
2024-01-14T15:49:46.885868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 433
86.6%
6.8464 1
 
0.2%
3.1189 1
 
0.2%
4.8876 1
 
0.2%
3.3992 1
 
0.2%
18.9747 1
 
0.2%
3.4771 1
 
0.2%
6.8818 1
 
0.2%
18.0628 1
 
0.2%
3.3772 1
 
0.2%
Other values (58) 58
 
11.6%
ValueCountFrequency (%)
0.0 433
86.6%
0.0305 1
 
0.2%
0.103 1
 
0.2%
0.1283 1
 
0.2%
0.4079 1
 
0.2%
0.6636 1
 
0.2%
0.7634 1
 
0.2%
0.8102 1
 
0.2%
0.8365 1
 
0.2%
0.8557 1
 
0.2%
ValueCountFrequency (%)
117.2175 1
0.2%
90.9756 1
0.2%
32.4779 1
0.2%
22.0134 1
0.2%
18.9747 1
0.2%
18.0628 1
0.2%
15.6029 1
0.2%
14.5808 1
0.2%
12.9262 1
0.2%
11.7968 1
0.2%
Distinct87
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.851373
Minimum0
Maximum74.8648
Zeros413
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:47.062139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.124245
Maximum74.8648
Range74.8648
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4779957
Coefficient of variation (CV)5.2597342
Kurtosis170.87285
Mean0.851373
Median Absolute Deviation (MAD)0
Skewness11.799912
Sum425.6865
Variance20.052445
MonotonicityNot monotonic
2024-01-14T15:49:47.238347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 413
82.6%
3.0695 2
 
0.4%
1.25 1
 
0.2%
12.2726 1
 
0.2%
2.6966 1
 
0.2%
3.09 1
 
0.2%
1.6285 1
 
0.2%
2.454 1
 
0.2%
0.8388 1
 
0.2%
2.6474 1
 
0.2%
Other values (77) 77
 
15.4%
ValueCountFrequency (%)
0.0 413
82.6%
0.0006 1
 
0.2%
0.0396 1
 
0.2%
0.0459 1
 
0.2%
0.062 1
 
0.2%
0.078 1
 
0.2%
0.1237 1
 
0.2%
0.1413 1
 
0.2%
0.1461 1
 
0.2%
0.201 1
 
0.2%
ValueCountFrequency (%)
74.8648 1
0.2%
45.0206 1
0.2%
24.5631 1
0.2%
20.4608 1
0.2%
18.6765 1
0.2%
14.7373 1
0.2%
13.3767 1
0.2%
12.2726 1
0.2%
9.3377 1
0.2%
8.5532 1
0.2%
Distinct52
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5370188
Minimum0
Maximum39.6276
Zeros449
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:47.414464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.29566
Maximum39.6276
Range39.6276
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9214609
Coefficient of variation (CV)5.4401464
Kurtosis106.43647
Mean0.5370188
Median Absolute Deviation (MAD)0
Skewness9.4337879
Sum268.5094
Variance8.5349337
MonotonicityNot monotonic
2024-01-14T15:49:47.606195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 449
89.8%
3.3006 1
 
0.2%
39.6276 1
 
0.2%
3.2954 1
 
0.2%
2.8475 1
 
0.2%
34.315 1
 
0.2%
3.3121 1
 
0.2%
4.753 1
 
0.2%
3.373 1
 
0.2%
0.0014 1
 
0.2%
Other values (42) 42
 
8.4%
ValueCountFrequency (%)
0.0 449
89.8%
0.0014 1
 
0.2%
0.0105 1
 
0.2%
0.0269 1
 
0.2%
0.042 1
 
0.2%
0.1469 1
 
0.2%
0.2089 1
 
0.2%
0.2421 1
 
0.2%
0.2768 1
 
0.2%
0.2782 1
 
0.2%
ValueCountFrequency (%)
39.6276 1
0.2%
34.315 1
0.2%
21.0088 1
0.2%
15.0134 1
0.2%
14.9485 1
0.2%
10.8439 1
0.2%
9.3315 1
0.2%
8.4181 1
0.2%
8.1545 1
0.2%
7.0726 1
0.2%
Distinct31
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7422898
Minimum0
Maximum68.1696
Zeros470
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:47.780384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.18292
Maximum68.1696
Range68.1696
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.0883307
Coefficient of variation (CV)6.8549113
Kurtosis96.942478
Mean0.7422898
Median Absolute Deviation (MAD)0
Skewness9.3199718
Sum371.1449
Variance25.89111
MonotonicityNot monotonic
2024-01-14T15:49:47.942071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 470
94.0%
4.3581 1
 
0.2%
5.7876 1
 
0.2%
2.0238 1
 
0.2%
0.0098 1
 
0.2%
0.1389 1
 
0.2%
6.069 1
 
0.2%
0.6458 1
 
0.2%
4.3063 1
 
0.2%
3.2952 1
 
0.2%
Other values (21) 21
 
4.2%
ValueCountFrequency (%)
0.0 470
94.0%
0.0098 1
 
0.2%
0.1389 1
 
0.2%
0.6458 1
 
0.2%
1.1462 1
 
0.2%
1.1619 1
 
0.2%
1.5823 1
 
0.2%
2.0238 1
 
0.2%
2.2056 1
 
0.2%
2.6755 1
 
0.2%
ValueCountFrequency (%)
68.1696 1
0.2%
46.9844 1
0.2%
44.2239 1
0.2%
42.5157 1
0.2%
28.7951 1
0.2%
23.3831 1
0.2%
21.7905 1
0.2%
17.2194 1
0.2%
12.66 1
0.2%
6.069 1
0.2%
Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4912714
Minimum0
Maximum78.0672
Zeros483
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:48.061795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum78.0672
Range78.0672
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5709282
Coefficient of variation (CV)9.3042831
Kurtosis195.39087
Mean0.4912714
Median Absolute Deviation (MAD)0
Skewness13.20663
Sum245.6357
Variance20.893385
MonotonicityNot monotonic
2024-01-14T15:49:48.179358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 483
96.6%
39.4414 1
 
0.2%
10.5781 1
 
0.2%
5.8048 1
 
0.2%
5.7318 1
 
0.2%
0.7396 1
 
0.2%
6.0308 1
 
0.2%
2.8468 1
 
0.2%
5.5109 1
 
0.2%
22.4121 1
 
0.2%
Other values (8) 8
 
1.6%
ValueCountFrequency (%)
0.0 483
96.6%
0.0011 1
 
0.2%
0.7396 1
 
0.2%
2.8468 1
 
0.2%
3.6467 1
 
0.2%
4.43 1
 
0.2%
4.8201 1
 
0.2%
5.2418 1
 
0.2%
5.2928 1
 
0.2%
5.5109 1
 
0.2%
ValueCountFrequency (%)
78.0672 1
0.2%
45.0397 1
0.2%
39.4414 1
0.2%
22.4121 1
0.2%
10.5781 1
0.2%
6.0308 1
0.2%
5.8048 1
0.2%
5.7318 1
0.2%
5.5109 1
0.2%
5.2928 1
0.2%
Distinct57
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1322758
Minimum0
Maximum241.037
Zeros442
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:48.378679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.06552
Maximum241.037
Range241.037
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.992253
Coefficient of variation (CV)10.591283
Kurtosis337.37312
Mean1.1322758
Median Absolute Deviation (MAD)0
Skewness17.765765
Sum566.1379
Variance143.81414
MonotonicityNot monotonic
2024-01-14T15:49:48.718044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 442
88.4%
5.4435 2
 
0.4%
5.4343 2
 
0.4%
0.0437 1
 
0.2%
5.4143 1
 
0.2%
0.01 1
 
0.2%
2.6943 1
 
0.2%
0.1408 1
 
0.2%
10.9192 1
 
0.2%
3.2368 1
 
0.2%
Other values (47) 47
 
9.4%
ValueCountFrequency (%)
0.0 442
88.4%
0.0002 1
 
0.2%
0.0005 1
 
0.2%
0.0007 1
 
0.2%
0.0074 1
 
0.2%
0.01 1
 
0.2%
0.0151 1
 
0.2%
0.0286 1
 
0.2%
0.0437 1
 
0.2%
0.0639 1
 
0.2%
ValueCountFrequency (%)
241.037 1
0.2%
113.3288 1
0.2%
13.9935 1
0.2%
13.2174 1
0.2%
11.5231 1
0.2%
10.9192 1
0.2%
10.5454 1
0.2%
9.6859 1
0.2%
7.7248 1
0.2%
5.4468 1
0.2%

등록일자(ldadng_dt)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2021-08-19 01:41:24
500 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-19 01:41:24
2nd row2021-08-19 01:41:24
3rd row2021-08-19 01:41:24
4th row2021-08-19 01:41:24
5th row2021-08-19 01:41:24

Common Values

ValueCountFrequency (%)
2021-08-19 01:41:24 500
100.0%

Length

2024-01-14T15:49:48.960544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:49:49.138075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-19 500
50.0%
01:41:24 500
50.0%

Sample

일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)순위(lvpop_sn)행정동코드(서울거주지)(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)
0202108141611200615158114405852.27330.00.00.00.01.02840.00.15730.01.170535.63710.00.00.00.00.00.02.7230.00.00.00.00.00.00.66360.00.04.35810.05.39752021-08-19 01:41:24
120210814511140670150111706250.47643.40990.03.06370.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
2202108141411350720223115005352.18490.00.91550.00.01.28210.00.00.00.00.00.00.00.00.00.00.016.75112.46790.00.03.72760.00.00.00.00.00.00.00.02021-08-19 01:41:24
32021081431114062558117405603.76510.0195.70080.00.95670.00.03.29633.35810.00.00.67920.00.00.00.08.66870.00.00.00.00.00.00.71220.05.94820.00.00.00.02021-08-19 01:41:24
420210814161162072533113506300.00013.31680.00.00.02.78330.00.00.06.4780.00.00.00.00.05.52330.00.00.00.00.00.00.00.00.03.02560.00.00.00.02021-08-19 01:41:24
520210814161135057070113506115.61590.00.00.03.93590.03.46460.00.12540.00.19030.00.00.00.13170.015.35030.00.03.06080.00.03.90670.00.00.00.00.00.00.02021-08-19 01:41:24
62021081401117065029115456102.36210.00.00.00.64450.00.10520.00.00.00.18570.00.03.57790.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02.23992021-08-19 01:41:24
720210814211650540242111405903.06260.00.00.05050.00.00.00.00.03.15020.00.00.00.00.00.00.00.01.46790.00.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
820210814711350611123117405503.4180.00.00.01.75610.00.00.00.00.00.00.01.11160.00.00.00.03.12410.04.24360.00.00.00.00.00.00.14690.00.00.02021-08-19 01:41:24
920210814011590520139112005905.12120.00.00.00.02560.00.00.00.00.011.60050.00.00.01.10290.00.00.00.00.07.08380.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)순위(lvpop_sn)행정동코드(서울거주지)(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)
4902021081441171053170115305951.84610.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.03.52670.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
49120210814111680521231114105552.0730.00.00.00.27320.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.04590.00.00.00.02021-08-19 01:41:24
4922021081491144065514115305600.08289.26690.00.00.00.00.00.00.028.21080.00.00.00.00.00.00.00.00.60793.04770.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
4932021081423117105661941135062150.79910.00.00.05910.00.65110.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
494202108141211110560157111105150.12440.00.00.00.02.78740.00.01.97220.00.55831.06890.00.00.00.00.00.02.58190.00.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
49520210814611440700571162071510.85780.00.00.01.26360.00.00.05.81460.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.03.00250.00.00.00.02021-08-19 01:41:24
496202108142211305535251116206952.31830.00.00710.00.00.00.00.00.00.00.00.00.00.05.11240.00.00.00.00190.00.00.00.00.00.00.0782.52290.00.00.02021-08-19 01:41:24
497202108145117106461961156069011.07780.00.00.00.00.03.12470.03.80920.00.00.00.00.00.00.00.00.00.98480.00.00.00.00.00.00.00.00.00.00.02021-08-19 01:41:24
49820210814141144068060115906517.5050.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.06.30490.00.00.00.00.00.00.00.00.05.787610.57810.75742021-08-19 01:41:24
499202108141311620735100113805307.01430.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.57570.012.28370.00.00.00.02.67420.00.00.00.02021-08-19 01:41:24