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
생활인구합계(tot_lvpop_co) has unique valuesUnique
시간(tmzon_pd_se) has 25 (5.0%) zerosZeros
남자10~14세(male_f10t14_lvpop_co) has 437 (87.4%) zerosZeros
남자15~19세(male_f15t19_lvpop_co) has 417 (83.4%) zerosZeros
남자20~24세(male_f20t24_lvpop_co) has 254 (50.8%) zerosZeros
남자25~29세(male_f25t29_lvpop_co) has 222 (44.4%) zerosZeros
남자30~34세(male_f30t34_lvpop_co) has 256 (51.2%) zerosZeros
남자35~39세(male_f35t39_lvpop_co) has 221 (44.2%) zerosZeros
남자40~44세(male_f40t44_lvpop_co) has 238 (47.6%) zerosZeros
남자45~49세(male_f45t49_lvpop_co) has 231 (46.2%) zerosZeros
남자50~54세(male_f50t54_lvpop_co) has 216 (43.2%) zerosZeros
남자55~59세(male_f55t59_lvpop_co) has 243 (48.6%) zerosZeros
남자60~64세(male_f60t64_lvpop_co) has 271 (54.2%) zerosZeros
남자65~69세(male_f65t69_lvpop_co) has 312 (62.4%) zerosZeros
남자70~74세(male_f70t74_lvpop_co) has 392 (78.4%) zerosZeros
남자75~79세(male_f75t79_lvpop_co) has 421 (84.2%) zerosZeros
여자10~14세(female_f10t14_lvpop_co) has 448 (89.6%) zerosZeros
여자15~19세(female_f15t19_lvpop_co) has 391 (78.2%) zerosZeros
여자20~24세(female_f20t24_lvpop_co) has 264 (52.8%) zerosZeros
여자25~29세(female_f25t29_lvpop_co) has 240 (48.0%) zerosZeros
여자30~34세(female_f30t34_lvpop_co) has 275 (55.0%) zerosZeros
여자35~39세(female_f35t39_lvpop_co) has 291 (58.2%) zerosZeros
여자40~44세(female_f40t44_lvpop_co) has 308 (61.6%) zerosZeros
여자45~49세(female_f45t49_lvpop_co) has 308 (61.6%) zerosZeros
여자50~54세(female_f50t54_lvpop_co) has 281 (56.2%) zerosZeros
여자55~59세(female_f55t59_lvpop_co) has 301 (60.2%) zerosZeros
여자60~64세(female_f60t64_lvpop_co) has 294 (58.8%) zerosZeros
여자65~69세(female_f65t69_lvpop_co) has 351 (70.2%) zerosZeros
여자70~74세(female_f70t74_lvpop_co) has 377 (75.4%) zerosZeros
여자75~79세(female_f75t79_lvpop_co) has 413 (82.6%) zerosZeros
장기체류_외국인(lngtr_stay_frgnr_co) has 308 (61.6%) zerosZeros

Reproduction

Analysis started2024-01-14 06:49:11.386717
Analysis finished2024-01-14 06:49:11.670148
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자(stdr_de_id)
Real number (ℝ)

Distinct445
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20188776
Minimum20170101
Maximum20211023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:11.740224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170101
5-th percentile20170306
Q120180307
median20190322
Q320200604
95-th percentile20210709
Maximum20211023
Range40922
Interquartile range (IQR)20296.5

Descriptive statistics

Standard deviation13717.376
Coefficient of variation (CV)0.00067945557
Kurtosis-1.1899216
Mean20188776
Median Absolute Deviation (MAD)10187
Skewness0.16281024
Sum1.0094388 × 1010
Variance1.8816641 × 108
MonotonicityNot monotonic
2024-01-14T15:49:11.956845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200215 3
 
0.6%
20200213 3
 
0.6%
20170202 3
 
0.6%
20190907 3
 
0.6%
20211023 3
 
0.6%
20180414 3
 
0.6%
20210613 3
 
0.6%
20181011 2
 
0.4%
20200629 2
 
0.4%
20190128 2
 
0.4%
Other values (435) 473
94.6%
ValueCountFrequency (%)
20170101 1
0.2%
20170103 1
0.2%
20170105 1
0.2%
20170112 1
0.2%
20170117 1
0.2%
20170121 1
0.2%
20170124 1
0.2%
20170126 1
0.2%
20170127 1
0.2%
20170130 1
0.2%
ValueCountFrequency (%)
20211023 3
0.6%
20211016 1
 
0.2%
20211014 1
 
0.2%
20211010 1
 
0.2%
20211008 1
 
0.2%
20211007 1
 
0.2%
20211002 1
 
0.2%
20210926 1
 
0.2%
20210923 1
 
0.2%
20210916 1
 
0.2%

시간(tmzon_pd_se)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.524
Minimum0
Maximum23
Zeros25
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:12.118972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q15
median12
Q317.25
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation6.8981587
Coefficient of variation (CV)0.59859065
Kurtosis-1.2412562
Mean11.524
Median Absolute Deviation (MAD)6
Skewness-0.059596968
Sum5762
Variance47.584593
MonotonicityNot monotonic
2024-01-14T15:49:12.281986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20 28
 
5.6%
4 27
 
5.4%
16 26
 
5.2%
0 25
 
5.0%
3 25
 
5.0%
17 24
 
4.8%
6 24
 
4.8%
14 24
 
4.8%
18 23
 
4.6%
21 23
 
4.6%
Other values (14) 251
50.2%
ValueCountFrequency (%)
0 25
5.0%
1 14
2.8%
2 19
3.8%
3 25
5.0%
4 27
5.4%
5 20
4.0%
6 24
4.8%
7 13
2.6%
8 17
3.4%
9 18
3.6%
ValueCountFrequency (%)
23 18
3.6%
22 12
2.4%
21 23
4.6%
20 28
5.6%
19 21
4.2%
18 23
4.6%
17 24
4.8%
16 26
5.2%
15 20
4.0%
14 24
4.8%
Distinct294
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11448902
Minimum11110570
Maximum11740690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:12.441293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110570
5-th percentile11140650
Q111290618
median11470520
Q311620688
95-th percentile11710671
Maximum11740690
Range630120
Interquartile range (IQR)330070

Descriptive statistics

Standard deviation189919.77
Coefficient of variation (CV)0.016588471
Kurtosis-1.2881368
Mean11448902
Median Absolute Deviation (MAD)179860
Skewness-0.079373078
Sum5.7244509 × 109
Variance3.6069519 × 1010
MonotonicityNot monotonic
2024-01-14T15:49:12.616194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11650621 5
 
1.0%
11350600 5
 
1.0%
11500540 5
 
1.0%
11680740 5
 
1.0%
11590640 5
 
1.0%
11260660 4
 
0.8%
11680565 4
 
0.8%
11380640 4
 
0.8%
11710690 4
 
0.8%
11710650 4
 
0.8%
Other values (284) 455
91.0%
ValueCountFrequency (%)
11110570 1
 
0.2%
11110600 3
0.6%
11110615 1
 
0.2%
11110640 1
 
0.2%
11110670 2
0.4%
11110680 1
 
0.2%
11140520 3
0.6%
11140540 3
0.6%
11140550 1
 
0.2%
11140570 1
 
0.2%
ValueCountFrequency (%)
11740690 1
 
0.2%
11740685 1
 
0.2%
11740650 3
0.6%
11740640 1
 
0.2%
11740610 2
0.4%
11740580 2
0.4%
11740570 3
0.6%
11740560 4
0.8%
11740550 1
 
0.2%
11740515 1
 
0.2%

순위(lvpop_sn)
Real number (ℝ)

Distinct21
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.344
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:12.775700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q315
95-th percentile20
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.944963
Coefficient of variation (CV)1.3447964
Kurtosis17.025154
Mean13.344
Median Absolute Deviation (MAD)5
Skewness4.0986152
Sum6672
Variance322.02171
MonotonicityNot monotonic
2024-01-14T15:49:12.903316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3 34
 
6.8%
4 30
 
6.0%
13 28
 
5.6%
7 28
 
5.6%
1 28
 
5.6%
9 27
 
5.4%
5 27
 
5.4%
11 26
 
5.2%
12 26
 
5.2%
14 24
 
4.8%
Other values (11) 222
44.4%
ValueCountFrequency (%)
1 28
5.6%
2 22
4.4%
3 34
6.8%
4 30
6.0%
5 27
5.4%
6 16
3.2%
7 28
5.6%
8 22
4.4%
9 27
5.4%
10 20
4.0%
ValueCountFrequency (%)
99 19
3.8%
20 22
4.4%
19 19
3.8%
18 20
4.0%
17 22
4.4%
16 18
3.6%
15 22
4.4%
14 24
4.8%
13 28
5.6%
12 26
5.2%
Distinct57
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43027.258
Minimum26000
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:13.031223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26000
5-th percentile28173.65
Q141150
median41430
Q342000
95-th percentile52499.95
Maximum99999
Range73999
Interquartile range (IQR)850

Descriptive statistics

Standard deviation14238.502
Coefficient of variation (CV)0.33091818
Kurtosis10.191211
Mean43027.258
Median Absolute Deviation (MAD)295
Skewness3.031996
Sum21513629
Variance2.0273493 × 108
MonotonicityNot monotonic
2024-01-14T15:49:13.173307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99999 25
 
5.0%
48000 23
 
4.6%
41590 22
 
4.4%
41360 21
 
4.2%
41135 20
 
4.0%
43000 19
 
3.8%
41281 18
 
3.6%
41570 17
 
3.4%
26000 17
 
3.4%
42000 15
 
3.0%
Other values (47) 303
60.6%
ValueCountFrequency (%)
26000 17
3.4%
27000 7
1.4%
28110 1
 
0.2%
28177 3
 
0.6%
28185 4
 
0.8%
28200 6
 
1.2%
28237 8
1.6%
28245 5
 
1.0%
28260 13
2.6%
29000 8
1.6%
ValueCountFrequency (%)
99999 25
5.0%
50000 4
 
0.8%
48000 23
4.6%
47000 10
 
2.0%
46000 14
2.8%
45000 12
2.4%
44000 14
2.8%
43000 19
3.8%
42000 15
3.0%
41830 6
 
1.2%

생활인구합계(tot_lvpop_co)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.26926
Minimum2.2895
Maximum3301.6079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:13.341002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2895
5-th percentile7.12098
Q114.30075
median26.1211
Q373.620875
95-th percentile392.40548
Maximum3301.6079
Range3299.3184
Interquartile range (IQR)59.320125

Descriptive statistics

Standard deviation224.2235
Coefficient of variation (CV)2.3535766
Kurtosis90.087156
Mean95.26926
Median Absolute Deviation (MAD)16.05665
Skewness7.7325908
Sum47634.63
Variance50276.179
MonotonicityNot monotonic
2024-01-14T15:49:13.767357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.5164 1
 
0.2%
950.1613 1
 
0.2%
908.9956 1
 
0.2%
32.7499 1
 
0.2%
413.171 1
 
0.2%
18.167 1
 
0.2%
131.0438 1
 
0.2%
15.6054 1
 
0.2%
7.2361 1
 
0.2%
41.2887 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
2.2895 1
0.2%
2.5552 1
0.2%
3.3383 1
0.2%
3.8101 1
0.2%
4.6974 1
0.2%
5.2025 1
0.2%
5.2551 1
0.2%
5.4201 1
0.2%
5.4238 1
0.2%
5.581 1
0.2%
ValueCountFrequency (%)
3301.6079 1
0.2%
1367.417 1
0.2%
1256.5285 1
0.2%
1194.6091 1
0.2%
1191.8758 1
0.2%
1086.4351 1
0.2%
950.1613 1
0.2%
908.9956 1
0.2%
852.4968 1
0.2%
671.0289 1
0.2%

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

ZEROS 

Distinct63
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5940856
Minimum0
Maximum25.5332
Zeros437
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:13.936070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.42331
Maximum25.5332
Range25.5332
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2735724
Coefficient of variation (CV)3.8270114
Kurtosis44.15491
Mean0.5940856
Median Absolute Deviation (MAD)0
Skewness5.7753209
Sum297.0428
Variance5.1691314
MonotonicityNot monotonic
2024-01-14T15:49:14.077040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 437
87.4%
0.0004 2
 
0.4%
0.8466 1
 
0.2%
5.5668 1
 
0.2%
3.0759 1
 
0.2%
1.6929 1
 
0.2%
6.7699 1
 
0.2%
19.1978 1
 
0.2%
0.2846 1
 
0.2%
5.5854 1
 
0.2%
Other values (53) 53
 
10.6%
ValueCountFrequency (%)
0.0 437
87.4%
0.0004 2
 
0.4%
0.009 1
 
0.2%
0.0139 1
 
0.2%
0.0361 1
 
0.2%
0.0472 1
 
0.2%
0.0865 1
 
0.2%
0.2262 1
 
0.2%
0.2299 1
 
0.2%
0.2846 1
 
0.2%
ValueCountFrequency (%)
25.5332 1
0.2%
19.1978 1
0.2%
14.637 1
0.2%
11.3208 1
0.2%
11.2112 1
0.2%
11.103 1
0.2%
11.0926 1
0.2%
9.876 1
0.2%
7.6545 1
0.2%
6.7699 1
0.2%

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

ZEROS 

Distinct83
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.976138
Minimum0
Maximum23.7577
Zeros417
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:14.216031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.574535
Maximum23.7577
Range23.7577
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9348687
Coefficient of variation (CV)3.0066125
Kurtosis21.695556
Mean0.976138
Median Absolute Deviation (MAD)0
Skewness4.1829082
Sum488.069
Variance8.6134543
MonotonicityNot monotonic
2024-01-14T15:49:14.358907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 417
83.4%
5.1339 2
 
0.4%
4.1225 1
 
0.2%
0.1233 1
 
0.2%
5.2218 1
 
0.2%
5.2318 1
 
0.2%
4.9918 1
 
0.2%
0.0145 1
 
0.2%
5.6721 1
 
0.2%
5.1038 1
 
0.2%
Other values (73) 73
 
14.6%
ValueCountFrequency (%)
0.0 417
83.4%
0.003 1
 
0.2%
0.0145 1
 
0.2%
0.0162 1
 
0.2%
0.0228 1
 
0.2%
0.0393 1
 
0.2%
0.0593 1
 
0.2%
0.0934 1
 
0.2%
0.1233 1
 
0.2%
0.1879 1
 
0.2%
ValueCountFrequency (%)
23.7577 1
0.2%
23.109 1
0.2%
19.1967 1
0.2%
18.0917 1
0.2%
16.0384 1
0.2%
15.5662 1
0.2%
11.5617 1
0.2%
11.1475 1
0.2%
10.991 1
0.2%
10.7102 1
0.2%

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

ZEROS 

Distinct244
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3449892
Minimum0
Maximum91.8412
Zeros254
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:14.534089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.3989
95-th percentile12.06757
Maximum91.8412
Range91.8412
Interquartile range (IQR)3.3989

Descriptive statistics

Standard deviation9.0083342
Coefficient of variation (CV)2.6930832
Kurtosis61.644738
Mean3.3449892
Median Absolute Deviation (MAD)0
Skewness7.1156266
Sum1672.4946
Variance81.150085
MonotonicityNot monotonic
2024-01-14T15:49:14.670813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 254
50.8%
3.3995 2
 
0.4%
3.3892 2
 
0.4%
10.0939 2
 
0.4%
2.8759 1
 
0.2%
3.3578 1
 
0.2%
3.1004 1
 
0.2%
10.0146 1
 
0.2%
3.3734 1
 
0.2%
1.5639 1
 
0.2%
Other values (234) 234
46.8%
ValueCountFrequency (%)
0.0 254
50.8%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0008 1
 
0.2%
0.0152 1
 
0.2%
0.0179 1
 
0.2%
0.0195 1
 
0.2%
0.0342 1
 
0.2%
0.0381 1
 
0.2%
0.0674 1
 
0.2%
ValueCountFrequency (%)
91.8412 1
0.2%
91.2697 1
0.2%
86.0886 1
0.2%
81.5341 1
0.2%
40.5907 1
0.2%
32.7439 1
0.2%
27.6137 1
0.2%
27.585 1
0.2%
24.7985 1
0.2%
24.6087 1
0.2%

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

ZEROS 

Distinct277
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8827472
Minimum0
Maximum383.8829
Zeros222
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:14.802034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.3932
Q33.6398
95-th percentile18.02122
Maximum383.8829
Range383.8829
Interquartile range (IQR)3.6398

Descriptive statistics

Standard deviation20.358503
Coefficient of variation (CV)4.1694772
Kurtosis247.20238
Mean4.8827472
Median Absolute Deviation (MAD)0.3932
Skewness14.146508
Sum2441.3736
Variance414.46865
MonotonicityNot monotonic
2024-01-14T15:49:14.970850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 222
44.4%
2.5645 2
 
0.4%
2.5579 2
 
0.4%
4.9438 1
 
0.2%
7.3046 1
 
0.2%
77.3373 1
 
0.2%
0.7942 1
 
0.2%
0.8695 1
 
0.2%
5.1063 1
 
0.2%
3.6674 1
 
0.2%
Other values (267) 267
53.4%
ValueCountFrequency (%)
0.0 222
44.4%
0.0004 1
 
0.2%
0.0018 1
 
0.2%
0.0136 1
 
0.2%
0.0233 1
 
0.2%
0.0374 1
 
0.2%
0.047 1
 
0.2%
0.0617 1
 
0.2%
0.0713 1
 
0.2%
0.0806 1
 
0.2%
ValueCountFrequency (%)
383.8829 1
0.2%
149.3324 1
0.2%
83.0257 1
0.2%
79.4891 1
0.2%
77.3373 1
0.2%
70.8132 1
0.2%
41.5898 1
0.2%
39.9948 1
0.2%
35.0951 1
0.2%
35.0817 1
0.2%

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

ZEROS 

Distinct242
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2619944
Minimum0
Maximum224.2528
Zeros256
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:15.105494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.863125
95-th percentile14.090255
Maximum224.2528
Range224.2528
Interquartile range (IQR)2.863125

Descriptive statistics

Standard deviation15.337728
Coefficient of variation (CV)3.5987207
Kurtosis122.36285
Mean4.2619944
Median Absolute Deviation (MAD)0
Skewness9.9403321
Sum2130.9972
Variance235.24589
MonotonicityNot monotonic
2024-01-14T15:49:15.244405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 256
51.2%
2.7953 2
 
0.4%
2.8014 2
 
0.4%
2.7801 2
 
0.4%
14.8741 1
 
0.2%
6.3289 1
 
0.2%
1.6669 1
 
0.2%
61.4871 1
 
0.2%
5.6409 1
 
0.2%
2.7875 1
 
0.2%
Other values (232) 232
46.4%
ValueCountFrequency (%)
0.0 256
51.2%
0.0008 1
 
0.2%
0.0012 1
 
0.2%
0.0023 1
 
0.2%
0.003 1
 
0.2%
0.0036 1
 
0.2%
0.0043 1
 
0.2%
0.0056 1
 
0.2%
0.008 1
 
0.2%
0.0114 1
 
0.2%
ValueCountFrequency (%)
224.2528 1
0.2%
180.7818 1
0.2%
90.6354 1
0.2%
69.7951 1
0.2%
61.4871 1
0.2%
53.9447 1
0.2%
51.0783 1
0.2%
50.9177 1
0.2%
39.121 1
0.2%
36.3817 1
0.2%

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

ZEROS 

Distinct275
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.696775
Minimum0
Maximum269.686
Zeros221
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:15.402466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.0083
Q35.359125
95-th percentile25.84132
Maximum269.686
Range269.686
Interquartile range (IQR)5.359125

Descriptive statistics

Standard deviation21.694937
Coefficient of variation (CV)3.2396096
Kurtosis81.809037
Mean6.696775
Median Absolute Deviation (MAD)1.0083
Skewness8.2715395
Sum3348.3875
Variance470.67028
MonotonicityNot monotonic
2024-01-14T15:49:15.569704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 221
44.2%
3.4492 2
 
0.4%
3.4568 2
 
0.4%
0.0125 2
 
0.4%
3.4432 2
 
0.4%
3.4591 2
 
0.4%
3.4559 1
 
0.2%
1.7183 1
 
0.2%
4.3779 1
 
0.2%
4.405 1
 
0.2%
Other values (265) 265
53.0%
ValueCountFrequency (%)
0.0 221
44.2%
0.0036 1
 
0.2%
0.0068 1
 
0.2%
0.0103 1
 
0.2%
0.0109 1
 
0.2%
0.0121 1
 
0.2%
0.0125 2
 
0.4%
0.0233 1
 
0.2%
0.0332 1
 
0.2%
0.1021 1
 
0.2%
ValueCountFrequency (%)
269.686 1
0.2%
221.9092 1
0.2%
210.1532 1
0.2%
154.8966 1
0.2%
94.0493 1
0.2%
77.758 1
0.2%
69.6009 1
0.2%
65.4125 1
0.2%
58.7339 1
0.2%
54.1553 1
0.2%

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

ZEROS 

Distinct262
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9152028
Minimum0
Maximum355.6661
Zeros238
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:15.765093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01835
Q33.366125
95-th percentile19.550725
Maximum355.6661
Range355.6661
Interquartile range (IQR)3.366125

Descriptive statistics

Standard deviation20.534732
Coefficient of variation (CV)4.1777996
Kurtosis201.03408
Mean4.9152028
Median Absolute Deviation (MAD)0.01835
Skewness13.043762
Sum2457.6014
Variance421.67522
MonotonicityNot monotonic
2024-01-14T15:49:15.918727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 238
47.6%
1.6717 2
 
0.4%
3.3599 1
 
0.2%
2.7615 1
 
0.2%
13.3241 1
 
0.2%
23.5118 1
 
0.2%
2.3054 1
 
0.2%
4.1189 1
 
0.2%
3.3469 1
 
0.2%
2.7827 1
 
0.2%
Other values (252) 252
50.4%
ValueCountFrequency (%)
0.0 238
47.6%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0005 1
 
0.2%
0.0012 1
 
0.2%
0.0022 1
 
0.2%
0.0025 1
 
0.2%
0.0043 1
 
0.2%
0.0049 1
 
0.2%
0.0056 1
 
0.2%
ValueCountFrequency (%)
355.6661 1
0.2%
232.6091 1
0.2%
79.1596 1
0.2%
67.9272 1
0.2%
53.4818 1
0.2%
45.5862 1
0.2%
42.3056 1
0.2%
41.2318 1
0.2%
40.8754 1
0.2%
37.3101 1
0.2%

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

ZEROS 

Distinct268
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3833248
Minimum0
Maximum185.7316
Zeros231
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:16.061184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.71165
Q35.252425
95-th percentile29.99109
Maximum185.7316
Range185.7316
Interquartile range (IQR)5.252425

Descriptive statistics

Standard deviation16.059604
Coefficient of variation (CV)2.5158683
Kurtosis45.664475
Mean6.3833248
Median Absolute Deviation (MAD)0.71165
Skewness5.7858199
Sum3191.6624
Variance257.91089
MonotonicityNot monotonic
2024-01-14T15:49:16.183625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 231
46.2%
3.7731 2
 
0.4%
3.7515 2
 
0.4%
22.8929 1
 
0.2%
3.6966 1
 
0.2%
6.1853 1
 
0.2%
3.7489 1
 
0.2%
22.5564 1
 
0.2%
1.7229 1
 
0.2%
3.7051 1
 
0.2%
Other values (258) 258
51.6%
ValueCountFrequency (%)
0.0 231
46.2%
0.0001 1
 
0.2%
0.0004 1
 
0.2%
0.0006 1
 
0.2%
0.0048 1
 
0.2%
0.0073 1
 
0.2%
0.057 1
 
0.2%
0.0791 1
 
0.2%
0.1237 1
 
0.2%
0.1696 1
 
0.2%
ValueCountFrequency (%)
185.7316 1
0.2%
131.8127 1
0.2%
114.4447 1
0.2%
78.9696 1
0.2%
78.0791 1
0.2%
76.3387 1
0.2%
74.4422 1
0.2%
73.0464 1
0.2%
71.1613 1
0.2%
66.8285 1
0.2%

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

ZEROS 

Distinct283
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8927044
Minimum0
Maximum135.0313
Zeros216
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:16.326560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.6399
Q33.516025
95-th percentile23.67712
Maximum135.0313
Range135.0313
Interquartile range (IQR)3.516025

Descriptive statistics

Standard deviation12.088179
Coefficient of variation (CV)2.4706539
Kurtosis38.649718
Mean4.8927044
Median Absolute Deviation (MAD)0.6399
Skewness5.3492261
Sum2446.3522
Variance146.12408
MonotonicityNot monotonic
2024-01-14T15:49:16.509824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 216
43.2%
3.1459 2
 
0.4%
3.1562 2
 
0.4%
3.7227 1
 
0.2%
36.5826 1
 
0.2%
3.131 1
 
0.2%
2.5642 1
 
0.2%
7.7266 1
 
0.2%
3.1844 1
 
0.2%
3.12 1
 
0.2%
Other values (273) 273
54.6%
ValueCountFrequency (%)
0.0 216
43.2%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0019 1
 
0.2%
0.0029 1
 
0.2%
0.0035 1
 
0.2%
0.0069 1
 
0.2%
0.0082 1
 
0.2%
0.015 1
 
0.2%
0.0208 1
 
0.2%
ValueCountFrequency (%)
135.0313 1
0.2%
83.9182 1
0.2%
79.3362 1
0.2%
71.7491 1
0.2%
68.7039 1
0.2%
64.451 1
0.2%
56.3352 1
0.2%
53.0677 1
0.2%
51.681 1
0.2%
49.0849 1
0.2%

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

ZEROS 

Distinct255
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1572432
Minimum0
Maximum137.8238
Zeros243
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:16.724915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0461
Q33.50305
95-th percentile17.98083
Maximum137.8238
Range137.8238
Interquartile range (IQR)3.50305

Descriptive statistics

Standard deviation10.918732
Coefficient of variation (CV)2.6264358
Kurtosis59.146714
Mean4.1572432
Median Absolute Deviation (MAD)0.0461
Skewness6.5473356
Sum2078.6216
Variance119.21872
MonotonicityNot monotonic
2024-01-14T15:49:16.849673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 243
48.6%
3.4471 2
 
0.4%
3.4467 2
 
0.4%
3.5029 2
 
0.4%
3.5035 1
 
0.2%
27.051 1
 
0.2%
24.9899 1
 
0.2%
0.4137 1
 
0.2%
0.0541 1
 
0.2%
1.7576 1
 
0.2%
Other values (245) 245
49.0%
ValueCountFrequency (%)
0.0 243
48.6%
0.0001 1
 
0.2%
0.0074 1
 
0.2%
0.0145 1
 
0.2%
0.0178 1
 
0.2%
0.0251 1
 
0.2%
0.0351 1
 
0.2%
0.0381 1
 
0.2%
0.0541 1
 
0.2%
0.0639 1
 
0.2%
ValueCountFrequency (%)
137.8238 1
0.2%
90.8703 1
0.2%
65.4162 1
0.2%
62.3615 1
0.2%
57.0522 1
0.2%
56.7179 1
0.2%
54.8046 1
0.2%
50.5098 1
0.2%
44.2169 1
0.2%
42.5318 1
0.2%

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

ZEROS 

Distinct230
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6110494
Minimum0
Maximum68.911
Zeros271
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:16.990708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.824625
95-th percentile11.209565
Maximum68.911
Range68.911
Interquartile range (IQR)2.824625

Descriptive statistics

Standard deviation6.2665285
Coefficient of variation (CV)2.4000038
Kurtosis44.282325
Mean2.6110494
Median Absolute Deviation (MAD)0
Skewness5.7263909
Sum1305.5247
Variance39.26938
MonotonicityNot monotonic
2024-01-14T15:49:17.120353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 271
54.2%
2.4353 1
 
0.2%
2.3333 1
 
0.2%
3.036 1
 
0.2%
2.0652 1
 
0.2%
2.96 1
 
0.2%
8.1616 1
 
0.2%
2.8019 1
 
0.2%
2.7679 1
 
0.2%
2.7733 1
 
0.2%
Other values (220) 220
44.0%
ValueCountFrequency (%)
0.0 271
54.2%
0.0053 1
 
0.2%
0.0104 1
 
0.2%
0.0151 1
 
0.2%
0.0159 1
 
0.2%
0.0165 1
 
0.2%
0.0382 1
 
0.2%
0.0404 1
 
0.2%
0.0413 1
 
0.2%
0.0585 1
 
0.2%
ValueCountFrequency (%)
68.911 1
0.2%
51.6845 1
0.2%
50.0712 1
0.2%
46.2285 1
0.2%
32.524 1
0.2%
26.3606 1
0.2%
24.4039 1
0.2%
23.4108 1
0.2%
20.2534 1
0.2%
19.853 1
0.2%

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

ZEROS 

Distinct187
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7833416
Minimum0
Maximum51.2328
Zeros312
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:17.480743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.6495
95-th percentile9.28076
Maximum51.2328
Range51.2328
Interquartile range (IQR)2.6495

Descriptive statistics

Standard deviation4.1582428
Coefficient of variation (CV)2.3317141
Kurtosis45.680358
Mean1.7833416
Median Absolute Deviation (MAD)0
Skewness5.3250027
Sum891.6708
Variance17.290984
MonotonicityNot monotonic
2024-01-14T15:49:17.612843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 312
62.4%
5.8247 2
 
0.4%
0.0007 2
 
0.4%
5.4335 1
 
0.2%
9.4494 1
 
0.2%
2.7096 1
 
0.2%
1.6044 1
 
0.2%
8.4875 1
 
0.2%
18.8204 1
 
0.2%
5.9089 1
 
0.2%
Other values (177) 177
35.4%
ValueCountFrequency (%)
0.0 312
62.4%
0.0007 2
 
0.4%
0.0011 1
 
0.2%
0.0016 1
 
0.2%
0.0018 1
 
0.2%
0.0052 1
 
0.2%
0.0107 1
 
0.2%
0.0522 1
 
0.2%
0.0634 1
 
0.2%
0.1074 1
 
0.2%
ValueCountFrequency (%)
51.2328 1
0.2%
24.5492 1
0.2%
24.2788 1
0.2%
20.3379 1
0.2%
19.6393 1
0.2%
19.4905 1
0.2%
18.8204 1
0.2%
17.2047 1
0.2%
15.4115 1
0.2%
14.4768 1
0.2%

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

ZEROS 

Distinct109
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8559294
Minimum0
Maximum43.0208
Zeros392
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:17.744614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.96832
Maximum43.0208
Range43.0208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9610911
Coefficient of variation (CV)3.4595039
Kurtosis90.811173
Mean0.8559294
Median Absolute Deviation (MAD)0
Skewness7.881784
Sum427.9647
Variance8.7680603
MonotonicityNot monotonic
2024-01-14T15:49:17.903589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 392
78.4%
2.6446 1
 
0.2%
43.0208 1
 
0.2%
2.5451 1
 
0.2%
7.3404 1
 
0.2%
2.6739 1
 
0.2%
0.0148 1
 
0.2%
0.0852 1
 
0.2%
1.5838 1
 
0.2%
4.1416 1
 
0.2%
Other values (99) 99
 
19.8%
ValueCountFrequency (%)
0.0 392
78.4%
0.0005 1
 
0.2%
0.0006 1
 
0.2%
0.0014 1
 
0.2%
0.006 1
 
0.2%
0.0097 1
 
0.2%
0.0148 1
 
0.2%
0.0498 1
 
0.2%
0.0504 1
 
0.2%
0.0852 1
 
0.2%
ValueCountFrequency (%)
43.0208 1
0.2%
19.9352 1
0.2%
19.7597 1
0.2%
14.5894 1
0.2%
13.6835 1
0.2%
11.766 1
0.2%
11.6717 1
0.2%
11.1998 1
0.2%
10.5002 1
0.2%
10.38 1
0.2%

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

ZEROS 

Distinct80
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8057004
Minimum0
Maximum100.8302
Zeros421
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:18.040290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.47483
Maximum100.8302
Range100.8302
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8426782
Coefficient of variation (CV)6.0105198
Kurtosis366.72157
Mean0.8057004
Median Absolute Deviation (MAD)0
Skewness17.949841
Sum402.8502
Variance23.451532
MonotonicityNot monotonic
2024-01-14T15:49:18.183731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 421
84.2%
4.2654 1
 
0.2%
1.745 1
 
0.2%
1.0109 1
 
0.2%
0.1395 1
 
0.2%
4.4734 1
 
0.2%
4.3791 1
 
0.2%
4.376 1
 
0.2%
0.2054 1
 
0.2%
4.5562 1
 
0.2%
Other values (70) 70
 
14.0%
ValueCountFrequency (%)
0.0 421
84.2%
0.0165 1
 
0.2%
0.0215 1
 
0.2%
0.0407 1
 
0.2%
0.0642 1
 
0.2%
0.0685 1
 
0.2%
0.0896 1
 
0.2%
0.1231 1
 
0.2%
0.1395 1
 
0.2%
0.1516 1
 
0.2%
ValueCountFrequency (%)
100.8302 1
0.2%
18.8935 1
0.2%
13.2004 1
0.2%
8.8723 1
0.2%
8.7638 1
0.2%
8.6488 1
0.2%
8.6019 1
0.2%
7.6553 1
0.2%
7.5825 1
0.2%
6.9415 1
0.2%
Distinct53
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4718836
Minimum0
Maximum16.0798
Zeros448
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:18.322180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.09116
Maximum16.0798
Range16.0798
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7195892
Coefficient of variation (CV)3.644096
Kurtosis26.87728
Mean0.4718836
Median Absolute Deviation (MAD)0
Skewness4.6468547
Sum235.9418
Variance2.9569869
MonotonicityNot monotonic
2024-01-14T15:49:18.444016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 448
89.6%
3.2813 1
 
0.2%
5.9951 1
 
0.2%
5.0936 1
 
0.2%
1.7091 1
 
0.2%
0.104 1
 
0.2%
3.8352 1
 
0.2%
0.2332 1
 
0.2%
0.0037 1
 
0.2%
5.4876 1
 
0.2%
Other values (43) 43
 
8.6%
ValueCountFrequency (%)
0.0 448
89.6%
0.0025 1
 
0.2%
0.0037 1
 
0.2%
0.0842 1
 
0.2%
0.104 1
 
0.2%
0.115 1
 
0.2%
0.1541 1
 
0.2%
0.2332 1
 
0.2%
0.5494 1
 
0.2%
0.7999 1
 
0.2%
ValueCountFrequency (%)
16.0798 1
0.2%
13.8578 1
0.2%
10.334 1
0.2%
10.1117 1
0.2%
8.1256 1
0.2%
7.0195 1
0.2%
5.9951 1
0.2%
5.7504 1
0.2%
5.7229 1
0.2%
5.6716 1
0.2%
Distinct109
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.307343
Minimum0
Maximum36.5953
Zeros391
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:18.565626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.372435
Maximum36.5953
Range36.5953
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5547091
Coefficient of variation (CV)2.7190333
Kurtosis29.126736
Mean1.307343
Median Absolute Deviation (MAD)0
Skewness4.5288978
Sum653.6715
Variance12.635957
MonotonicityNot monotonic
2024-01-14T15:49:18.677591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
78.2%
0.0008 2
 
0.4%
3.8029 1
 
0.2%
0.0968 1
 
0.2%
11.7841 1
 
0.2%
4.4241 1
 
0.2%
2.5971 1
 
0.2%
4.9986 1
 
0.2%
26.3919 1
 
0.2%
10.4747 1
 
0.2%
Other values (99) 99
 
19.8%
ValueCountFrequency (%)
0.0 391
78.2%
0.0008 2
 
0.4%
0.0078 1
 
0.2%
0.0703 1
 
0.2%
0.0964 1
 
0.2%
0.0968 1
 
0.2%
0.3058 1
 
0.2%
0.3668 1
 
0.2%
0.4683 1
 
0.2%
0.6963 1
 
0.2%
ValueCountFrequency (%)
36.5953 1
0.2%
26.3919 1
0.2%
22.0142 1
0.2%
17.7405 1
0.2%
16.9758 1
0.2%
16.4227 1
0.2%
15.0472 1
0.2%
14.7972 1
0.2%
13.5768 1
0.2%
13.0722 1
0.2%
Distinct236
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8096644
Minimum0
Maximum82.735
Zeros264
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:18.891895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.11305
95-th percentile12.47959
Maximum82.735
Range82.735
Interquartile range (IQR)3.11305

Descriptive statistics

Standard deviation7.5669586
Coefficient of variation (CV)2.6931895
Kurtosis51.739445
Mean2.8096644
Median Absolute Deviation (MAD)0
Skewness6.4040545
Sum1404.8322
Variance57.258862
MonotonicityNot monotonic
2024-01-14T15:49:19.122601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 264
52.8%
3.1274 2
 
0.4%
3.1504 1
 
0.2%
0.0081 1
 
0.2%
0.2248 1
 
0.2%
3.4458 1
 
0.2%
43.3483 1
 
0.2%
12.5767 1
 
0.2%
2.6876 1
 
0.2%
3.0907 1
 
0.2%
Other values (226) 226
45.2%
ValueCountFrequency (%)
0.0 264
52.8%
0.0001 1
 
0.2%
0.0008 1
 
0.2%
0.0016 1
 
0.2%
0.0019 1
 
0.2%
0.0031 1
 
0.2%
0.0081 1
 
0.2%
0.0095 1
 
0.2%
0.0099 1
 
0.2%
0.01 1
 
0.2%
ValueCountFrequency (%)
82.735 1
0.2%
65.5727 1
0.2%
65.2107 1
0.2%
61.3913 1
0.2%
43.3483 1
0.2%
35.5003 1
0.2%
25.6942 1
0.2%
24.5294 1
0.2%
23.9076 1
0.2%
23.2033 1
0.2%
Distinct259
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5475816
Minimum0
Maximum138.0739
Zeros240
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:19.310029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.09945
Q33.4895
95-th percentile21.010035
Maximum138.0739
Range138.0739
Interquartile range (IQR)3.4895

Descriptive statistics

Standard deviation11.636801
Coefficient of variation (CV)2.5588987
Kurtosis46.237682
Mean4.5475816
Median Absolute Deviation (MAD)0.09945
Skewness5.7242359
Sum2273.7908
Variance135.41513
MonotonicityNot monotonic
2024-01-14T15:49:19.434748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 240
48.0%
0.0735 2
 
0.4%
2.5972 2
 
0.4%
2.4563 1
 
0.2%
10.45 1
 
0.2%
0.893 1
 
0.2%
9.0377 1
 
0.2%
4.7827 1
 
0.2%
6.5964 1
 
0.2%
7.6019 1
 
0.2%
Other values (249) 249
49.8%
ValueCountFrequency (%)
0.0 240
48.0%
0.0001 1
 
0.2%
0.0002 1
 
0.2%
0.0346 1
 
0.2%
0.0487 1
 
0.2%
0.0515 1
 
0.2%
0.0691 1
 
0.2%
0.0735 2
 
0.4%
0.0884 1
 
0.2%
0.0899 1
 
0.2%
ValueCountFrequency (%)
138.0739 1
0.2%
90.3532 1
0.2%
75.1829 1
0.2%
57.7155 1
0.2%
57.0079 1
0.2%
55.9202 1
0.2%
52.4203 1
0.2%
48.5528 1
0.2%
46.5225 1
0.2%
45.256 1
0.2%
Distinct224
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5365906
Minimum0
Maximum59.9849
Zeros275
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:19.557666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.105175
95-th percentile16.079345
Maximum59.9849
Range59.9849
Interquartile range (IQR)3.105175

Descriptive statistics

Standard deviation8.0372375
Coefficient of variation (CV)2.2725948
Kurtosis18.932635
Mean3.5365906
Median Absolute Deviation (MAD)0
Skewness4.0271699
Sum1768.2953
Variance64.597187
MonotonicityNot monotonic
2024-01-14T15:49:19.680111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 275
55.0%
3.0751 2
 
0.4%
3.0886 2
 
0.4%
3.0607 1
 
0.2%
3.0651 1
 
0.2%
0.7769 1
 
0.2%
3.0658 1
 
0.2%
1.0127 1
 
0.2%
2.6239 1
 
0.2%
37.2441 1
 
0.2%
Other values (214) 214
42.8%
ValueCountFrequency (%)
0.0 275
55.0%
0.0005 1
 
0.2%
0.0009 1
 
0.2%
0.0144 1
 
0.2%
0.0149 1
 
0.2%
0.0164 1
 
0.2%
0.0797 1
 
0.2%
0.086 1
 
0.2%
0.1198 1
 
0.2%
0.2047 1
 
0.2%
ValueCountFrequency (%)
59.9849 1
0.2%
53.3575 1
0.2%
52.589 1
0.2%
49.9239 1
0.2%
49.7228 1
0.2%
45.5675 1
0.2%
43.3065 1
0.2%
38.1726 1
0.2%
37.6957 1
0.2%
37.2441 1
0.2%
Distinct210
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3156304
Minimum0
Maximum157.083
Zeros291
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:19.801267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.92295
95-th percentile12.971325
Maximum157.083
Range157.083
Interquartile range (IQR)3.92295

Descriptive statistics

Standard deviation9.7085527
Coefficient of variation (CV)2.9281167
Kurtosis134.3071
Mean3.3156304
Median Absolute Deviation (MAD)0
Skewness9.7177202
Sum1657.8152
Variance94.255995
MonotonicityNot monotonic
2024-01-14T15:49:19.932343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 291
58.2%
4.3331 1
 
0.2%
0.3347 1
 
0.2%
3.9378 1
 
0.2%
0.4134 1
 
0.2%
3.9527 1
 
0.2%
3.6279 1
 
0.2%
8.3153 1
 
0.2%
1.9469 1
 
0.2%
3.9398 1
 
0.2%
Other values (200) 200
40.0%
ValueCountFrequency (%)
0.0 291
58.2%
0.0011 1
 
0.2%
0.008 1
 
0.2%
0.0167 1
 
0.2%
0.0307 1
 
0.2%
0.0351 1
 
0.2%
0.0772 1
 
0.2%
0.0823 1
 
0.2%
0.0837 1
 
0.2%
0.1299 1
 
0.2%
ValueCountFrequency (%)
157.083 1
0.2%
76.0006 1
0.2%
53.5103 1
0.2%
40.7953 1
0.2%
40.2467 1
0.2%
37.6273 1
0.2%
31.6057 1
0.2%
31.2113 1
0.2%
28.0639 1
0.2%
27.2275 1
0.2%
Distinct190
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4294134
Minimum0
Maximum191.1584
Zeros308
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:20.153699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.719725
95-th percentile14.480445
Maximum191.1584
Range191.1584
Interquartile range (IQR)3.719725

Descriptive statistics

Standard deviation13.206447
Coefficient of variation (CV)3.8509347
Kurtosis125.67731
Mean3.4294134
Median Absolute Deviation (MAD)0
Skewness10.262596
Sum1714.7067
Variance174.41024
MonotonicityNot monotonic
2024-01-14T15:49:20.325615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 308
61.6%
3.777 2
 
0.4%
3.7369 2
 
0.4%
3.7556 2
 
0.4%
14.4678 1
 
0.2%
7.4463 1
 
0.2%
7.3519 1
 
0.2%
3.0911 1
 
0.2%
6.0934 1
 
0.2%
9.2352 1
 
0.2%
Other values (180) 180
36.0%
ValueCountFrequency (%)
0.0 308
61.6%
0.0002 1
 
0.2%
0.0064 1
 
0.2%
0.0151 1
 
0.2%
0.0272 1
 
0.2%
0.0289 1
 
0.2%
0.0325 1
 
0.2%
0.0397 1
 
0.2%
0.0616 1
 
0.2%
0.1171 1
 
0.2%
ValueCountFrequency (%)
191.1584 1
0.2%
155.7121 1
0.2%
112.3588 1
0.2%
44.5635 1
0.2%
37.7523 1
0.2%
37.4667 1
0.2%
34.2356 1
0.2%
29.7432 1
0.2%
29.6408 1
0.2%
29.0692 1
0.2%
Distinct193
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.173271
Minimum0
Maximum111.4596
Zeros308
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:20.463296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.340525
95-th percentile14.28617
Maximum111.4596
Range111.4596
Interquartile range (IQR)3.340525

Descriptive statistics

Standard deviation9.180709
Coefficient of variation (CV)2.8931374
Kurtosis57.627895
Mean3.173271
Median Absolute Deviation (MAD)0
Skewness6.5840013
Sum1586.6355
Variance84.285417
MonotonicityNot monotonic
2024-01-14T15:49:20.584573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 308
61.6%
16.9518 1
 
0.2%
5.5317 1
 
0.2%
8.3542 1
 
0.2%
7.036 1
 
0.2%
4.2625 1
 
0.2%
9.0681 1
 
0.2%
0.1435 1
 
0.2%
0.0139 1
 
0.2%
2.7624 1
 
0.2%
Other values (183) 183
36.6%
ValueCountFrequency (%)
0.0 308
61.6%
0.0003 1
 
0.2%
0.0013 1
 
0.2%
0.0019 1
 
0.2%
0.0112 1
 
0.2%
0.0139 1
 
0.2%
0.0144 1
 
0.2%
0.0256 1
 
0.2%
0.0305 1
 
0.2%
0.0368 1
 
0.2%
ValueCountFrequency (%)
111.4596 1
0.2%
80.0099 1
0.2%
68.9756 1
0.2%
55.5015 1
0.2%
50.454 1
0.2%
44.0651 1
0.2%
43.0341 1
0.2%
37.662 1
0.2%
28.1966 1
0.2%
27.0365 1
0.2%
Distinct220
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0078778
Minimum0
Maximum96.6771
Zeros281
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:20.711971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.954475
95-th percentile11.365
Maximum96.6771
Range96.6771
Interquartile range (IQR)2.954475

Descriptive statistics

Standard deviation9.5214932
Coefficient of variation (CV)3.1655186
Kurtosis56.869478
Mean3.0078778
Median Absolute Deviation (MAD)0
Skewness6.9954081
Sum1503.9389
Variance90.658833
MonotonicityNot monotonic
2024-01-14T15:49:20.839280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 281
56.2%
0.0248 1
 
0.2%
2.9839 1
 
0.2%
5.8072 1
 
0.2%
84.8242 1
 
0.2%
6.3163 1
 
0.2%
7.8221 1
 
0.2%
0.0554 1
 
0.2%
2.7298 1
 
0.2%
2.9623 1
 
0.2%
Other values (210) 210
42.0%
ValueCountFrequency (%)
0.0 281
56.2%
0.0001 1
 
0.2%
0.0049 1
 
0.2%
0.0104 1
 
0.2%
0.0125 1
 
0.2%
0.0127 1
 
0.2%
0.0231 1
 
0.2%
0.0238 1
 
0.2%
0.0248 1
 
0.2%
0.0386 1
 
0.2%
ValueCountFrequency (%)
96.6771 1
0.2%
95.34 1
0.2%
84.8242 1
0.2%
71.9922 1
0.2%
65.148 1
0.2%
53.5019 1
0.2%
39.2087 1
0.2%
33.4559 1
0.2%
29.1171 1
0.2%
26.3636 1
0.2%
Distinct200
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7010986
Minimum0
Maximum109.6534
Zeros301
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:21.304507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.16835
95-th percentile11.30746
Maximum109.6534
Range109.6534
Interquartile range (IQR)3.16835

Descriptive statistics

Standard deviation8.2789514
Coefficient of variation (CV)3.0650312
Kurtosis86.517086
Mean2.7010986
Median Absolute Deviation (MAD)0
Skewness8.1531086
Sum1350.5493
Variance68.541036
MonotonicityNot monotonic
2024-01-14T15:49:21.427697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 301
60.2%
2.6243 1
 
0.2%
24.4328 1
 
0.2%
3.483 1
 
0.2%
0.0029 1
 
0.2%
3.4529 1
 
0.2%
5.4939 1
 
0.2%
90.6755 1
 
0.2%
3.4474 1
 
0.2%
17.4702 1
 
0.2%
Other values (190) 190
38.0%
ValueCountFrequency (%)
0.0 301
60.2%
0.0022 1
 
0.2%
0.0029 1
 
0.2%
0.0055 1
 
0.2%
0.007 1
 
0.2%
0.0096 1
 
0.2%
0.0112 1
 
0.2%
0.0274 1
 
0.2%
0.0283 1
 
0.2%
0.0289 1
 
0.2%
ValueCountFrequency (%)
109.6534 1
0.2%
90.6755 1
0.2%
57.6979 1
0.2%
43.4149 1
0.2%
43.274 1
0.2%
32.9079 1
0.2%
24.4328 1
0.2%
23.3036 1
0.2%
22.949 1
0.2%
22.3305 1
0.2%
Distinct205
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6374192
Minimum0
Maximum90.6658
Zeros294
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:21.553593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.04175
95-th percentile10.929075
Maximum90.6658
Range90.6658
Interquartile range (IQR)3.04175

Descriptive statistics

Standard deviation7.836511
Coefficient of variation (CV)2.97128
Kurtosis53.694756
Mean2.6374192
Median Absolute Deviation (MAD)0
Skewness6.4530697
Sum1318.7096
Variance61.410905
MonotonicityNot monotonic
2024-01-14T15:49:21.680397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 294
58.8%
3.0626 2
 
0.4%
3.1411 2
 
0.4%
14.1317 1
 
0.2%
8.4167 1
 
0.2%
11.5898 1
 
0.2%
18.8152 1
 
0.2%
6.7749 1
 
0.2%
10.4615 1
 
0.2%
3.0874 1
 
0.2%
Other values (195) 195
39.0%
ValueCountFrequency (%)
0.0 294
58.8%
0.0014 1
 
0.2%
0.0023 1
 
0.2%
0.0036 1
 
0.2%
0.0066 1
 
0.2%
0.0115 1
 
0.2%
0.0203 1
 
0.2%
0.0292 1
 
0.2%
0.0303 1
 
0.2%
0.0304 1
 
0.2%
ValueCountFrequency (%)
90.6658 1
0.2%
73.857 1
0.2%
57.1665 1
0.2%
42.3469 1
0.2%
39.477 1
0.2%
36.9742 1
0.2%
36.436 1
0.2%
35.5711 1
0.2%
33.8233 1
0.2%
29.823 1
0.2%
Distinct149
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5503734
Minimum0
Maximum52.8267
Zeros351
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:21.798414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.8496
95-th percentile7.466245
Maximum52.8267
Range52.8267
Interquartile range (IQR)0.8496

Descriptive statistics

Standard deviation4.3866807
Coefficient of variation (CV)2.829435
Kurtosis55.64545
Mean1.5503734
Median Absolute Deviation (MAD)0
Skewness6.2821399
Sum775.1867
Variance19.242968
MonotonicityNot monotonic
2024-01-14T15:49:21.919558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 351
70.2%
3.3542 2
 
0.4%
3.3603 1
 
0.2%
6.5111 1
 
0.2%
3.4539 1
 
0.2%
6.7812 1
 
0.2%
6.0673 1
 
0.2%
1.8967 1
 
0.2%
3.3413 1
 
0.2%
3.3183 1
 
0.2%
Other values (139) 139
 
27.8%
ValueCountFrequency (%)
0.0 351
70.2%
0.001 1
 
0.2%
0.0022 1
 
0.2%
0.0136 1
 
0.2%
0.0261 1
 
0.2%
0.0564 1
 
0.2%
0.0652 1
 
0.2%
0.0772 1
 
0.2%
0.079 1
 
0.2%
0.0794 1
 
0.2%
ValueCountFrequency (%)
52.8267 1
0.2%
41.3712 1
0.2%
27.2599 1
0.2%
26.4642 1
0.2%
22.3275 1
0.2%
16.3394 1
0.2%
14.7938 1
0.2%
13.9056 1
0.2%
13.8453 1
0.2%
13.4115 1
0.2%
Distinct123
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1804058
Minimum0
Maximum28.5002
Zeros377
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:22.036028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.064015
Maximum28.5002
Range28.5002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8549971
Coefficient of variation (CV)2.4186573
Kurtosis22.98656
Mean1.1804058
Median Absolute Deviation (MAD)0
Skewness3.8671487
Sum590.2029
Variance8.1510082
MonotonicityNot monotonic
2024-01-14T15:49:22.160172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 377
75.4%
4.2212 2
 
0.4%
4.8299 1
 
0.2%
9.7003 1
 
0.2%
3.5265 1
 
0.2%
4.3955 1
 
0.2%
0.4245 1
 
0.2%
8.7957 1
 
0.2%
4.3159 1
 
0.2%
4.1789 1
 
0.2%
Other values (113) 113
 
22.6%
ValueCountFrequency (%)
0.0 377
75.4%
0.0029 1
 
0.2%
0.0077 1
 
0.2%
0.012 1
 
0.2%
0.0132 1
 
0.2%
0.0193 1
 
0.2%
0.0196 1
 
0.2%
0.0452 1
 
0.2%
0.0919 1
 
0.2%
0.098 1
 
0.2%
ValueCountFrequency (%)
28.5002 1
0.2%
19.7608 1
0.2%
16.7832 1
0.2%
12.9016 1
0.2%
12.6939 1
0.2%
10.3231 1
0.2%
10.1126 1
0.2%
9.8939 1
0.2%
9.7003 1
0.2%
9.5063 1
0.2%
Distinct88
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0625578
Minimum0
Maximum54.1945
Zeros413
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:22.304783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.830085
Maximum54.1945
Range54.1945
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1309806
Coefficient of variation (CV)3.8877702
Kurtosis88.034751
Mean1.0625578
Median Absolute Deviation (MAD)0
Skewness8.2939012
Sum531.2789
Variance17.065
MonotonicityNot monotonic
2024-01-14T15:49:22.440012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 413
82.6%
0.8583 1
 
0.2%
4.5309 1
 
0.2%
5.921 1
 
0.2%
5.3056 1
 
0.2%
2.4039 1
 
0.2%
5.8295 1
 
0.2%
54.1945 1
 
0.2%
5.9295 1
 
0.2%
1.6488 1
 
0.2%
Other values (78) 78
 
15.6%
ValueCountFrequency (%)
0.0 413
82.6%
0.0353 1
 
0.2%
0.0395 1
 
0.2%
0.0513 1
 
0.2%
0.067 1
 
0.2%
0.0784 1
 
0.2%
0.2101 1
 
0.2%
0.3398 1
 
0.2%
0.5048 1
 
0.2%
0.5328 1
 
0.2%
ValueCountFrequency (%)
54.1945 1
0.2%
45.6043 1
0.2%
29.953 1
0.2%
22.7903 1
0.2%
21.3212 1
0.2%
13.0031 1
0.2%
11.8368 1
0.2%
11.5917 1
0.2%
9.6061 1
0.2%
9.4673 1
0.2%
Distinct187
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3868764
Minimum0
Maximum31.1792
Zeros308
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-14T15:49:22.570193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.607575
95-th percentile11.535655
Maximum31.1792
Range31.1792
Interquartile range (IQR)3.607575

Descriptive statistics

Standard deviation4.6860558
Coefficient of variation (CV)1.9632587
Kurtosis10.01534
Mean2.3868764
Median Absolute Deviation (MAD)0
Skewness2.8657448
Sum1193.4382
Variance21.959119
MonotonicityNot monotonic
2024-01-14T15:49:22.698275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 308
61.6%
5.4817 3
 
0.6%
5.4804 2
 
0.4%
0.0001 2
 
0.4%
5.4777 2
 
0.4%
5.4767 2
 
0.4%
5.5792 1
 
0.2%
0.3319 1
 
0.2%
0.6259 1
 
0.2%
11.9452 1
 
0.2%
Other values (177) 177
35.4%
ValueCountFrequency (%)
0.0 308
61.6%
0.0001 2
 
0.4%
0.0005 1
 
0.2%
0.0007 1
 
0.2%
0.0083 1
 
0.2%
0.0222 1
 
0.2%
0.0276 1
 
0.2%
0.0344 1
 
0.2%
0.0347 1
 
0.2%
0.0449 1
 
0.2%
ValueCountFrequency (%)
31.1792 1
0.2%
28.634 1
0.2%
27.1612 1
0.2%
27.0058 1
0.2%
24.0557 1
0.2%
21.9244 1
0.2%
21.7346 1
0.2%
21.1865 1
0.2%
18.5186 1
0.2%
17.9086 1
0.2%

등록일자(ldadng_dt)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2021-08-08 01:41:06
500 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-08 01:41:06
2nd row2021-08-08 01:41:06
3rd row2021-08-08 01:41:06
4th row2021-08-08 01:41:06
5th row2021-08-08 01:41:06

Common Values

ValueCountFrequency (%)
2021-08-08 01:41:06 500
100.0%

Length

2024-01-14T15:49:22.836060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:49:22.918867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-08 500
50.0%
01:41:06 500
50.0%

Sample

일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)순위(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)
0201912222211260590192820011.51640.00.00.02.34130.017.12440.029.88190.014.05712.43532.8941.1230.00.00.46830.00.03.06071.66520.00.00.03.44290.00.00.00.00.02021-08-08 01:41:06
120171215311410655174159011.82320.00.03.4674.92411.69170.00.00020.05.18710.015.18970.00.00.00.00.00.06.50970.00.02.97430.04.49030.01.32120.04.44785.8195.47672021-08-08 01:41:06
22018103041147068019430008.7390.00.00.00.00.00083.97950.00.0570.001923.58931.54023.49750.00.016.07980.01.39510.09.82810.00.12490.02565.33970.03.11010.00.00.00.02021-08-08 01:41:06
3202109128111106709411356.83182.80080.012.6220.02.73790.9670.00.90760.07.11930.02.93990.00.00.00.00.00.053.357527.22750.00.00.00.02.98930.00.00.00.02021-08-08 01:41:06
4201808241511500603192820014.07060.00.09.82022.54640.02.66960.07.49450.00.09.85230.00.00.00.05.157265.21070.036.564331.21130.00.00.03.4416.12453.34860.07.582521.18652021-08-08 01:41:06
520200307111171067032817750.11920.34335.19790.00.00.00.00.02.55221.61283.57050.00.07.5610.00.00.00.05.95175.12163.86320.006422.23190.00.00.00.00.00.00.02021-08-08 01:41:06
620200603191159065011413609.08560.00.02.80740.00.027.49540.00.03.167420.23112.3850.81320.00.00.00.00.02.60510.00.00.01.49910.06.83820.00.07720.00.024.05572021-08-08 01:41:06
720171203311500640341210145.48120.00.00.09.74230.00.00.00.03.16460.00.00.00.00.05.67160.07030.02.60931.02390.01672.945511.57482.84080.59614.33160.07.0630.00.02021-08-08 01:41:06
820170101131129062094115031.8970.00.06.38539.82060.03.483417.52820.00.00.012.34412.95580.00.00.03.28186.93070.07.97650.00.00.00.023.30360.00.00.00.00.02021-08-08 01:41:06
920191129191154570094300075.91264.1367.75190.04.9450.015.101320.0460.00.02.29050.67712.94173.47320.00.00.00.04862.60110.00.02.83883.86690.07.40930.9270.00.00.00.02021-08-08 01:41:06
일자(stdr_de_id)시간(tmzon_pd_se)행정동코드(adstrd_code_se)순위(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)
49020180913151123053622823786.71380.00.00.02.56352.78380.00.00.03.17950.00.05.80080.00.00.00.011.23040.00.05.75957.04390.02.882.96330.00.00.00.00.02021-08-08 01:41:06
49120170618231171053184113199.70210.00.00.00.00.042.645725.41310.02.35520.00.00.00.00050.00.00.00.08.43360.03.1780.00.03.4260.01.90790.04.22125.19130.02762021-08-08 01:41:06
492201810241411305630164117112.00170.00.123310.13082.00680.00.211753.48183.40320.00.02.84550.00.00.00.00.00.04010.00.00.00.00.00.00.017.39510.0790.02.95980.02021-08-08 01:41:06
49320181105711650621741281379.28710.00.03.46394.026451.07832.41458.98090.03.107511.02290.02.92040.00.00.03.85431.42072.033337.69570.03.65460.00.00.00.00.00.00.00.02021-08-08 01:41:06
49420190710311350600114400069.10660.00.00.00.84470.00.01253.17610.014.541810.60230.03.04595.94110.00.00.00.00.05.71123.7153.79710.02.9821.00550.12190.00.00.05.48172021-08-08 01:41:06
495201807052011590670119999911.04450.00.00.07.58870.00.06.5975131.81273.51312.542.99960.00.00.00.00.00.02.45639.37910.00110.00.00.00.03.14110.00.00.01.40172021-08-08 01:41:06
496201809192011350600132823751.87610.00.00.00.069.79510.00.03.77313.14960.09.008211.72741.8734.28160.02.76732.64830.03.06860.00.03.855726.36363.38351.36586.50550.00.00.02021-08-08 01:41:06
497202002135115906605414805.42380.04.12250.00.02.7762.06950.07.874416.69610.00.02.91520.00.00.00.00.00.00.00.03.63420.00.010422.9490.00.00.00.00.02021-08-08 01:41:06
4982017011721113806251541480113.10520.00.03.38921.75197.42550.00.021.92630.00.02.80990.00.00.00.00.04.86930.00.00.00.00.02.88580.80773.22882.0690.00.01.39712021-08-08 01:41:06
49920180526201138062594182010.58070.00.00.09.89740.00.02.19077.38054.27980.00.00.00.00.00.00.01.335317.52640.018.85470.011.72092.97270.05.96860.00.09970.33980.02021-08-08 01:41:06