Overview

Dataset statistics

Number of variables231
Number of observations10000
Missing cells82
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.9 MiB
Average record size in memory2.0 KiB

Variable types

Numeric178
Categorical50
Text3

Dataset

Description법정동(읍면동리) 성별 연령별 주민등록 1인세대수 현황입니다.법정동은 시 또는 구의 하위 행정구역으로 법률로 지정한 구역을 말합니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15099160/fileData.do

Alerts

기준연월 has constant value ""Constant
0세남자 is highly imbalanced (99.5%)Imbalance
1세남자 is highly imbalanced (98.3%)Imbalance
2세남자 is highly imbalanced (97.9%)Imbalance
3세남자 is highly imbalanced (97.4%)Imbalance
4세남자 is highly imbalanced (97.3%)Imbalance
5세남자 is highly imbalanced (95.8%)Imbalance
6세남자 is highly imbalanced (96.8%)Imbalance
7세남자 is highly imbalanced (95.8%)Imbalance
8세남자 is highly imbalanced (96.4%)Imbalance
9세남자 is highly imbalanced (94.3%)Imbalance
11세남자 is highly imbalanced (93.6%)Imbalance
12세남자 is highly imbalanced (94.2%)Imbalance
97세남자 is highly imbalanced (91.1%)Imbalance
98세남자 is highly imbalanced (94.3%)Imbalance
99세남자 is highly imbalanced (94.5%)Imbalance
100세남자 is highly imbalanced (95.3%)Imbalance
101세남자 is highly imbalanced (93.9%)Imbalance
102세남자 is highly imbalanced (97.6%)Imbalance
103세남자 is highly imbalanced (97.7%)Imbalance
104세남자 is highly imbalanced (98.7%)Imbalance
105세남자 is highly imbalanced (99.0%)Imbalance
106세남자 is highly imbalanced (99.1%)Imbalance
107세남자 is highly imbalanced (99.0%)Imbalance
108세남자 is highly imbalanced (99.7%)Imbalance
109세남자 is highly imbalanced (99.6%)Imbalance
110세이상 남자 is highly imbalanced (99.7%)Imbalance
0세여자 is highly imbalanced (99.4%)Imbalance
1세여자 is highly imbalanced (98.4%)Imbalance
2세여자 is highly imbalanced (97.7%)Imbalance
3세여자 is highly imbalanced (98.0%)Imbalance
4세여자 is highly imbalanced (96.7%)Imbalance
5세여자 is highly imbalanced (97.0%)Imbalance
6세여자 is highly imbalanced (96.1%)Imbalance
7세여자 is highly imbalanced (94.8%)Imbalance
9세여자 is highly imbalanced (95.1%)Imbalance
10세여자 is highly imbalanced (95.2%)Imbalance
11세여자 is highly imbalanced (94.5%)Imbalance
12세여자 is highly imbalanced (95.0%)Imbalance
100세여자 is highly imbalanced (87.7%)Imbalance
102세여자 is highly imbalanced (92.5%)Imbalance
103세여자 is highly imbalanced (93.5%)Imbalance
104세여자 is highly imbalanced (96.1%)Imbalance
105세여자 is highly imbalanced (95.4%)Imbalance
106세여자 is highly imbalanced (97.2%)Imbalance
107세여자 is highly imbalanced (97.1%)Imbalance
108세여자 is highly imbalanced (97.8%)Imbalance
109세여자 is highly imbalanced (97.8%)Imbalance
110세이상 여자 is highly imbalanced (98.2%)Imbalance
13세남자 is highly skewed (γ1 = 23.30495383)Skewed
14세남자 is highly skewed (γ1 = 46.15063965)Skewed
15세남자 is highly skewed (γ1 = 43.82183882)Skewed
16세남자 is highly skewed (γ1 = 44.34063034)Skewed
17세남자 is highly skewed (γ1 = 39.87351592)Skewed
18세남자 is highly skewed (γ1 = 28.9594403)Skewed
19세남자 is highly skewed (γ1 = 24.77490431)Skewed
20세남자 is highly skewed (γ1 = 23.9092562)Skewed
24세남자 is highly skewed (γ1 = 21.5737535)Skewed
25세남자 is highly skewed (γ1 = 25.79020004)Skewed
26세남자 is highly skewed (γ1 = 28.70306262)Skewed
27세남자 is highly skewed (γ1 = 30.13745505)Skewed
28세남자 is highly skewed (γ1 = 26.964267)Skewed
29세남자 is highly skewed (γ1 = 24.30499739)Skewed
30세남자 is highly skewed (γ1 = 22.34203961)Skewed
31세남자 is highly skewed (γ1 = 20.20523538)Skewed
13세여자 is highly skewed (γ1 = 45.31749978)Skewed
14세여자 is highly skewed (γ1 = 35.5223369)Skewed
15세여자 is highly skewed (γ1 = 35.13653488)Skewed
16세여자 is highly skewed (γ1 = 39.36861581)Skewed
17세여자 is highly skewed (γ1 = 29.78456295)Skewed
18세여자 is highly skewed (γ1 = 24.91563907)Skewed
19세여자 is highly skewed (γ1 = 20.11865902)Skewed
20세여자 is highly skewed (γ1 = 20.0222069)Skewed
22세여자 is highly skewed (γ1 = 21.90120485)Skewed
23세여자 is highly skewed (γ1 = 26.33219767)Skewed
24세여자 is highly skewed (γ1 = 29.56742006)Skewed
25세여자 is highly skewed (γ1 = 32.66533079)Skewed
26세여자 is highly skewed (γ1 = 33.94166438)Skewed
27세여자 is highly skewed (γ1 = 31.56135621)Skewed
28세여자 is highly skewed (γ1 = 29.36506575)Skewed
29세여자 is highly skewed (γ1 = 27.62740074)Skewed
30세여자 is highly skewed (γ1 = 25.22424115)Skewed
31세여자 is highly skewed (γ1 = 23.17449484)Skewed
32세여자 is highly skewed (γ1 = 20.19997571)Skewed
법정동코드 has unique valuesUnique
10세남자 has 9845 (98.5%) zerosZeros
13세남자 has 9825 (98.2%) zerosZeros
14세남자 has 9823 (98.2%) zerosZeros
15세남자 has 9780 (97.8%) zerosZeros
16세남자 has 9737 (97.4%) zerosZeros
17세남자 has 9712 (97.1%) zerosZeros
18세남자 has 9331 (93.3%) zerosZeros
19세남자 has 8986 (89.9%) zerosZeros
20세남자 has 8708 (87.1%) zerosZeros
21세남자 has 8381 (83.8%) zerosZeros
22세남자 has 7927 (79.3%) zerosZeros
23세남자 has 7537 (75.4%) zerosZeros
24세남자 has 7235 (72.4%) zerosZeros
25세남자 has 6937 (69.4%) zerosZeros
26세남자 has 6670 (66.7%) zerosZeros
27세남자 has 6534 (65.3%) zerosZeros
28세남자 has 6364 (63.6%) zerosZeros
29세남자 has 6265 (62.6%) zerosZeros
30세남자 has 6232 (62.3%) zerosZeros
31세남자 has 6227 (62.3%) zerosZeros
32세남자 has 6286 (62.9%) zerosZeros
33세남자 has 6362 (63.6%) zerosZeros
34세남자 has 6412 (64.1%) zerosZeros
35세남자 has 6404 (64.0%) zerosZeros
36세남자 has 6451 (64.5%) zerosZeros
37세남자 has 6441 (64.4%) zerosZeros
38세남자 has 6354 (63.5%) zerosZeros
39세남자 has 6309 (63.1%) zerosZeros
40세남자 has 6036 (60.4%) zerosZeros
41세남자 has 5812 (58.1%) zerosZeros
42세남자 has 5722 (57.2%) zerosZeros
43세남자 has 5640 (56.4%) zerosZeros
44세남자 has 5534 (55.3%) zerosZeros
45세남자 has 5502 (55.0%) zerosZeros
46세남자 has 5414 (54.1%) zerosZeros
47세남자 has 5200 (52.0%) zerosZeros
48세남자 has 5021 (50.2%) zerosZeros
49세남자 has 4703 (47.0%) zerosZeros
50세남자 has 4382 (43.8%) zerosZeros
51세남자 has 4248 (42.5%) zerosZeros
52세남자 has 4029 (40.3%) zerosZeros
53세남자 has 3799 (38.0%) zerosZeros
54세남자 has 3585 (35.9%) zerosZeros
55세남자 has 3294 (32.9%) zerosZeros
56세남자 has 3386 (33.9%) zerosZeros
57세남자 has 3133 (31.3%) zerosZeros
58세남자 has 2978 (29.8%) zerosZeros
59세남자 has 2919 (29.2%) zerosZeros
60세남자 has 3086 (30.9%) zerosZeros
61세남자 has 2606 (26.1%) zerosZeros
62세남자 has 2504 (25.0%) zerosZeros
63세남자 has 2291 (22.9%) zerosZeros
64세남자 has 2472 (24.7%) zerosZeros
65세남자 has 2745 (27.5%) zerosZeros
66세남자 has 2852 (28.5%) zerosZeros
67세남자 has 3084 (30.8%) zerosZeros
68세남자 has 3184 (31.8%) zerosZeros
69세남자 has 3288 (32.9%) zerosZeros
70세남자 has 4142 (41.4%) zerosZeros
71세남자 has 3995 (40.0%) zerosZeros
72세남자 has 4433 (44.3%) zerosZeros
73세남자 has 4772 (47.7%) zerosZeros
74세남자 has 4762 (47.6%) zerosZeros
75세남자 has 4999 (50.0%) zerosZeros
76세남자 has 5138 (51.4%) zerosZeros
77세남자 has 5564 (55.6%) zerosZeros
78세남자 has 6393 (63.9%) zerosZeros
79세남자 has 6227 (62.3%) zerosZeros
80세남자 has 6552 (65.5%) zerosZeros
81세남자 has 5972 (59.7%) zerosZeros
82세남자 has 6282 (62.8%) zerosZeros
83세남자 has 6796 (68.0%) zerosZeros
84세남자 has 6820 (68.2%) zerosZeros
85세남자 has 7008 (70.1%) zerosZeros
86세남자 has 7278 (72.8%) zerosZeros
87세남자 has 7434 (74.3%) zerosZeros
88세남자 has 7658 (76.6%) zerosZeros
89세남자 has 8026 (80.3%) zerosZeros
90세남자 has 8326 (83.3%) zerosZeros
91세남자 has 8604 (86.0%) zerosZeros
92세남자 has 8884 (88.8%) zerosZeros
93세남자 has 9181 (91.8%) zerosZeros
94세남자 has 9321 (93.2%) zerosZeros
95세남자 has 9465 (94.7%) zerosZeros
96세남자 has 9615 (96.2%) zerosZeros
8세여자 has 9883 (98.8%) zerosZeros
13세여자 has 9840 (98.4%) zerosZeros
14세여자 has 9833 (98.3%) zerosZeros
15세여자 has 9792 (97.9%) zerosZeros
16세여자 has 9755 (97.5%) zerosZeros
17세여자 has 9714 (97.1%) zerosZeros
18세여자 has 9377 (93.8%) zerosZeros
19세여자 has 8998 (90.0%) zerosZeros
20세여자 has 8755 (87.5%) zerosZeros
21세여자 has 8537 (85.4%) zerosZeros
22세여자 has 8225 (82.2%) zerosZeros
23세여자 has 7944 (79.4%) zerosZeros
24세여자 has 7718 (77.2%) zerosZeros
25세여자 has 7504 (75.0%) zerosZeros
26세여자 has 7382 (73.8%) zerosZeros
27세여자 has 7302 (73.0%) zerosZeros
28세여자 has 7213 (72.1%) zerosZeros
29세여자 has 7247 (72.5%) zerosZeros
30세여자 has 7258 (72.6%) zerosZeros
31세여자 has 7254 (72.5%) zerosZeros
32세여자 has 7348 (73.5%) zerosZeros
33세여자 has 7447 (74.5%) zerosZeros
34세여자 has 7537 (75.4%) zerosZeros
35세여자 has 7581 (75.8%) zerosZeros
36세여자 has 7594 (75.9%) zerosZeros
37세여자 has 7605 (76.0%) zerosZeros
38세여자 has 7620 (76.2%) zerosZeros
39세여자 has 7495 (75.0%) zerosZeros
40세여자 has 7336 (73.4%) zerosZeros
41세여자 has 7295 (73.0%) zerosZeros
42세여자 has 7229 (72.3%) zerosZeros
43세여자 has 7223 (72.2%) zerosZeros
44세여자 has 7173 (71.7%) zerosZeros
45세여자 has 7275 (72.8%) zerosZeros
46세여자 has 7072 (70.7%) zerosZeros
47세여자 has 7072 (70.7%) zerosZeros
48세여자 has 6819 (68.2%) zerosZeros
49세여자 has 6678 (66.8%) zerosZeros
50세여자 has 6434 (64.3%) zerosZeros
51세여자 has 6279 (62.8%) zerosZeros
52세여자 has 6136 (61.4%) zerosZeros
53세여자 has 5855 (58.6%) zerosZeros
54세여자 has 5643 (56.4%) zerosZeros
55세여자 has 5336 (53.4%) zerosZeros
56세여자 has 5249 (52.5%) zerosZeros
57세여자 has 5079 (50.8%) zerosZeros
58세여자 has 4884 (48.8%) zerosZeros
59세여자 has 4773 (47.7%) zerosZeros
60세여자 has 4820 (48.2%) zerosZeros
61세여자 has 4465 (44.6%) zerosZeros
62세여자 has 4164 (41.6%) zerosZeros
63세여자 has 3821 (38.2%) zerosZeros
64세여자 has 3823 (38.2%) zerosZeros
65세여자 has 4023 (40.2%) zerosZeros
66세여자 has 4053 (40.5%) zerosZeros
67세여자 has 4148 (41.5%) zerosZeros
68세여자 has 4038 (40.4%) zerosZeros
69세여자 has 3837 (38.4%) zerosZeros
70세여자 has 4363 (43.6%) zerosZeros
71세여자 has 4013 (40.1%) zerosZeros
72세여자 has 4280 (42.8%) zerosZeros
73세여자 has 4280 (42.8%) zerosZeros
74세여자 has 4002 (40.0%) zerosZeros
75세여자 has 3981 (39.8%) zerosZeros
76세여자 has 3715 (37.1%) zerosZeros
77세여자 has 3760 (37.6%) zerosZeros
78세여자 has 4322 (43.2%) zerosZeros
79세여자 has 3587 (35.9%) zerosZeros
80세여자 has 3565 (35.6%) zerosZeros
81세여자 has 2602 (26.0%) zerosZeros
82세여자 has 2843 (28.4%) zerosZeros
83세여자 has 3257 (32.6%) zerosZeros
84세여자 has 3042 (30.4%) zerosZeros
85세여자 has 3190 (31.9%) zerosZeros
86세여자 has 3468 (34.7%) zerosZeros
87세여자 has 3681 (36.8%) zerosZeros
88세여자 has 3914 (39.1%) zerosZeros
89세여자 has 4309 (43.1%) zerosZeros
90세여자 has 5043 (50.4%) zerosZeros
91세여자 has 5528 (55.3%) zerosZeros
92세여자 has 6131 (61.3%) zerosZeros
93세여자 has 6883 (68.8%) zerosZeros
94세여자 has 7365 (73.7%) zerosZeros
95세여자 has 7924 (79.2%) zerosZeros
96세여자 has 8358 (83.6%) zerosZeros
97세여자 has 8790 (87.9%) zerosZeros
98세여자 has 9192 (91.9%) zerosZeros
99세여자 has 9450 (94.5%) zerosZeros
101세여자 has 9675 (96.8%) zerosZeros

Reproduction

Analysis started2024-04-06 08:51:16.026828
Analysis finished2024-04-06 08:51:23.330001
Duration7.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동코드
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4536957 × 109
Minimum1.1110104 × 109
Maximum5.280042 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:23.535797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110104 × 109
5-th percentile2.7710253 × 109
Q14.372035 × 109
median4.682034 × 109
Q34.8255303 × 109
95-th percentile5.22104 × 109
Maximum5.280042 × 109
Range4.1690316 × 109
Interquartile range (IQR)4.534953 × 108

Descriptive statistics

Standard deviation7.8473795 × 108
Coefficient of variation (CV)0.17619927
Kurtosis6.2093171
Mean4.4536957 × 109
Median Absolute Deviation (MAD)2.6199699 × 108
Skewness-2.3210354
Sum4.4536957 × 1013
Variance6.1581365 × 1017
MonotonicityNot monotonic
2024-04-06T17:51:23.942539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4715011200 1
 
< 0.1%
4793025327 1
 
< 0.1%
1111014600 1
 
< 0.1%
4420011200 1
 
< 0.1%
4725011700 1
 
< 0.1%
4671036021 1
 
< 0.1%
2920016100 1
 
< 0.1%
5172034028 1
 
< 0.1%
4617038032 1
 
< 0.1%
4315032041 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1111010400 1
< 0.1%
1111010600 1
< 0.1%
1111010700 1
< 0.1%
1111010800 1
< 0.1%
1111010900 1
< 0.1%
1111011000 1
< 0.1%
1111011200 1
< 0.1%
1111011300 1
< 0.1%
1111011400 1
< 0.1%
1111011700 1
< 0.1%
ValueCountFrequency (%)
5280042028 1
< 0.1%
5280042027 1
< 0.1%
5280042026 1
< 0.1%
5280042024 1
< 0.1%
5280042022 1
< 0.1%
5280041027 1
< 0.1%
5280041023 1
< 0.1%
5280041022 1
< 0.1%
5280040023 1
< 0.1%
5280040021 1
< 0.1%

기준연월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-31
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-31
2nd row2024-03-31
3rd row2024-03-31
4th row2024-03-31
5th row2024-03-31

Common Values

ValueCountFrequency (%)
2024-03-31 10000
100.0%

Length

2024-04-06T17:51:24.342781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:24.599275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-31 10000
100.0%

시도명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상북도
1547 
전라남도
1438 
경상남도
1179 
충청남도
1170 
경기도
1045 
Other values (12)
3621 

Length

Max length7
Median length4
Mean length4.5419
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도
2nd row경기도
3rd row경기도
4th row강원특별자치도
5th row강원특별자치도

Common Values

ValueCountFrequency (%)
경상북도 1547
15.5%
전라남도 1438
14.4%
경상남도 1179
11.8%
충청남도 1170
11.7%
경기도 1045
10.4%
전북특별자치도 926
9.3%
충청북도 789
7.9%
강원특별자치도 702
7.0%
서울특별시 236
 
2.4%
대구광역시 209
 
2.1%
Other values (7) 759
7.6%

Length

2024-04-06T17:51:24.950615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 1547
15.5%
전라남도 1438
14.4%
경상남도 1179
11.8%
충청남도 1170
11.7%
경기도 1045
10.4%
전북특별자치도 926
9.3%
충청북도 789
7.9%
강원특별자치도 702
7.0%
서울특별시 236
 
2.4%
대구광역시 209
 
2.1%
Other values (7) 759
7.6%
Distinct227
Distinct (%)2.3%
Missing82
Missing (%)0.8%
Memory size156.2 KiB
2024-04-06T17:51:25.792521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2888687
Min length2

Characters and Unicode

Total characters32619
Distinct characters143
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row김천시
2nd row안산시 단원구
3rd row남양주시
4th row강릉시
5th row속초시
ValueCountFrequency (%)
청주시 171
 
1.6%
창원시 161
 
1.5%
중구 138
 
1.3%
북구 136
 
1.3%
포항시 125
 
1.2%
상주시 123
 
1.2%
고성군 121
 
1.1%
안동시 114
 
1.1%
부여군 109
 
1.0%
공주시 107
 
1.0%
Other values (227) 9382
87.8%
2024-04-06T17:51:27.110661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4794
 
14.7%
4510
 
13.8%
1655
 
5.1%
1405
 
4.3%
1235
 
3.8%
1022
 
3.1%
1010
 
3.1%
776
 
2.4%
769
 
2.4%
675
 
2.1%
Other values (133) 14768
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31850
97.6%
Space Separator 769
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4794
 
15.1%
4510
 
14.2%
1655
 
5.2%
1405
 
4.4%
1235
 
3.9%
1022
 
3.2%
1010
 
3.2%
776
 
2.4%
675
 
2.1%
589
 
1.8%
Other values (132) 14179
44.5%
Space Separator
ValueCountFrequency (%)
769
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31850
97.6%
Common 769
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4794
 
15.1%
4510
 
14.2%
1655
 
5.2%
1405
 
4.4%
1235
 
3.9%
1022
 
3.2%
1010
 
3.2%
776
 
2.4%
675
 
2.1%
589
 
1.8%
Other values (132) 14179
44.5%
Common
ValueCountFrequency (%)
769
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31850
97.6%
ASCII 769
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4794
 
15.1%
4510
 
14.2%
1655
 
5.2%
1405
 
4.4%
1235
 
3.9%
1022
 
3.2%
1010
 
3.2%
776
 
2.4%
675
 
2.1%
589
 
1.8%
Other values (132) 14179
44.5%
ASCII
ValueCountFrequency (%)
769
100.0%
Distinct2846
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:51:28.225372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0398
Min length2

Characters and Unicode

Total characters30398
Distinct characters345
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1430 ?
Unique (%)14.3%

Sample

1st row다수동
2nd row선부동
3rd row진접읍
4th row대전동
5th row금호동
ValueCountFrequency (%)
남면 60
 
0.6%
서면 47
 
0.5%
북면 39
 
0.4%
금성면 32
 
0.3%
동면 26
 
0.3%
옥산면 24
 
0.2%
군북면 23
 
0.2%
봉산면 23
 
0.2%
이서면 21
 
0.2%
청산면 21
 
0.2%
Other values (2836) 9684
96.8%
2024-04-06T17:51:29.824668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6462
 
21.3%
2340
 
7.7%
1629
 
5.4%
939
 
3.1%
527
 
1.7%
512
 
1.7%
457
 
1.5%
431
 
1.4%
402
 
1.3%
363
 
1.2%
Other values (335) 16336
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30175
99.3%
Decimal Number 223
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6462
21.4%
2340
 
7.8%
1629
 
5.4%
939
 
3.1%
527
 
1.7%
512
 
1.7%
457
 
1.5%
431
 
1.4%
402
 
1.3%
363
 
1.2%
Other values (328) 16113
53.4%
Decimal Number
ValueCountFrequency (%)
1 71
31.8%
2 67
30.0%
3 41
18.4%
4 18
 
8.1%
5 15
 
6.7%
6 6
 
2.7%
7 5
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30175
99.3%
Common 223
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6462
21.4%
2340
 
7.8%
1629
 
5.4%
939
 
3.1%
527
 
1.7%
512
 
1.7%
457
 
1.5%
431
 
1.4%
402
 
1.3%
363
 
1.2%
Other values (328) 16113
53.4%
Common
ValueCountFrequency (%)
1 71
31.8%
2 67
30.0%
3 41
18.4%
4 18
 
8.1%
5 15
 
6.7%
6 6
 
2.7%
7 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30175
99.3%
ASCII 223
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6462
21.4%
2340
 
7.8%
1629
 
5.4%
939
 
3.1%
527
 
1.7%
512
 
1.7%
457
 
1.5%
431
 
1.4%
402
 
1.3%
363
 
1.2%
Other values (328) 16113
53.4%
ASCII
ValueCountFrequency (%)
1 71
31.8%
2 67
30.0%
3 41
18.4%
4 18
 
8.1%
5 15
 
6.7%
6 6
 
2.7%
7 5
 
2.2%

리명
Text

Distinct6243
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:51:30.721777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0292
Min length2

Characters and Unicode

Total characters30292
Distinct characters386
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4677 ?
Unique (%)46.8%

Sample

1st row다수동
2nd row선부동
3rd row부평리
4th row대전동
5th row금호동
ValueCountFrequency (%)
용산리 27
 
0.3%
대곡리 21
 
0.2%
마산리 19
 
0.2%
신대리 18
 
0.2%
동산리 18
 
0.2%
신흥리 18
 
0.2%
금곡리 18
 
0.2%
봉산리 17
 
0.2%
신평리 17
 
0.2%
신기리 16
 
0.2%
Other values (6233) 9811
98.1%
2024-04-06T17:51:31.971295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8108
26.8%
2321
 
7.7%
793
 
2.6%
565
 
1.9%
493
 
1.6%
438
 
1.4%
398
 
1.3%
398
 
1.3%
354
 
1.2%
348
 
1.1%
Other values (376) 16076
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30058
99.2%
Decimal Number 228
 
0.8%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8108
27.0%
2321
 
7.7%
793
 
2.6%
565
 
1.9%
493
 
1.6%
438
 
1.5%
398
 
1.3%
398
 
1.3%
354
 
1.2%
348
 
1.2%
Other values (367) 15842
52.7%
Decimal Number
ValueCountFrequency (%)
1 74
32.5%
2 69
30.3%
3 41
18.0%
4 18
 
7.9%
5 15
 
6.6%
6 6
 
2.6%
7 5
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30052
99.2%
Common 234
 
0.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8108
27.0%
2321
 
7.7%
793
 
2.6%
565
 
1.9%
493
 
1.6%
438
 
1.5%
398
 
1.3%
398
 
1.3%
354
 
1.2%
348
 
1.2%
Other values (362) 15836
52.7%
Common
ValueCountFrequency (%)
1 74
31.6%
2 69
29.5%
3 41
17.5%
4 18
 
7.7%
5 15
 
6.4%
6 6
 
2.6%
7 5
 
2.1%
( 3
 
1.3%
) 3
 
1.3%
Han
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30052
99.2%
ASCII 234
 
0.8%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8108
27.0%
2321
 
7.7%
793
 
2.6%
565
 
1.9%
493
 
1.6%
438
 
1.5%
398
 
1.3%
398
 
1.3%
354
 
1.2%
348
 
1.2%
Other values (362) 15836
52.7%
ASCII
ValueCountFrequency (%)
1 74
31.6%
2 69
29.5%
3 41
17.5%
4 18
 
7.7%
5 15
 
6.4%
6 6
 
2.6%
7 5
 
2.1%
( 3
 
1.3%
) 3
 
1.3%
CJK
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%


Real number (ℝ)

Distinct1634
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532.4677
Minimum0
Maximum77646
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:33.255476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q149
median84
Q3184
95-th percentile2543.1
Maximum77646
Range77646
Interquartile range (IQR)135

Descriptive statistics

Standard deviation2012.2217
Coefficient of variation (CV)3.7790493
Kurtosis307.49755
Mean532.4677
Median Absolute Deviation (MAD)45
Skewness12.670732
Sum5324677
Variance4049036.2
MonotonicityNot monotonic
2024-04-06T17:51:33.655681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 97
 
1.0%
56 95
 
0.9%
58 95
 
0.9%
36 95
 
0.9%
39 92
 
0.9%
47 91
 
0.9%
60 91
 
0.9%
38 90
 
0.9%
52 89
 
0.9%
51 88
 
0.9%
Other values (1624) 9077
90.8%
ValueCountFrequency (%)
0 8
0.1%
1 17
0.2%
2 15
0.1%
3 10
0.1%
4 11
0.1%
5 13
0.1%
6 14
0.1%
7 13
0.1%
8 14
0.1%
9 18
0.2%
ValueCountFrequency (%)
77646 1
< 0.1%
51307 1
< 0.1%
33571 1
< 0.1%
32706 1
< 0.1%
31421 1
< 0.1%
26817 1
< 0.1%
25634 1
< 0.1%
25446 1
< 0.1%
24204 1
< 0.1%
23610 1
< 0.1%

남자
Real number (ℝ)

Distinct1268
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.7945
Minimum0
Maximum38079
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:34.019966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median43
Q398
95-th percentile1323.1
Maximum38079
Range38079
Interquartile range (IQR)74

Descriptive statistics

Standard deviation1007.2251
Coefficient of variation (CV)3.6922485
Kurtosis285.49816
Mean272.7945
Median Absolute Deviation (MAD)24
Skewness12.206409
Sum2727945
Variance1014502.4
MonotonicityNot monotonic
2024-04-06T17:51:34.439782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 176
 
1.8%
25 171
 
1.7%
19 166
 
1.7%
18 163
 
1.6%
17 163
 
1.6%
24 161
 
1.6%
21 158
 
1.6%
23 158
 
1.6%
35 150
 
1.5%
32 149
 
1.5%
Other values (1258) 8385
83.9%
ValueCountFrequency (%)
0 10
 
0.1%
1 27
 
0.3%
2 20
 
0.2%
3 32
0.3%
4 39
0.4%
5 41
0.4%
6 48
0.5%
7 46
0.5%
8 74
0.7%
9 77
0.8%
ValueCountFrequency (%)
38079 1
< 0.1%
24735 1
< 0.1%
17746 1
< 0.1%
16797 1
< 0.1%
15883 1
< 0.1%
13031 1
< 0.1%
12088 1
< 0.1%
12018 1
< 0.1%
11937 1
< 0.1%
11834 1
< 0.1%

여자
Real number (ℝ)

Distinct1200
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.6732
Minimum0
Maximum39567
Zeros50
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:34.973748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median41
Q384
95-th percentile1234.2
Maximum39567
Range39567
Interquartile range (IQR)60

Descriptive statistics

Standard deviation1014.9976
Coefficient of variation (CV)3.9087499
Kurtosis321.15089
Mean259.6732
Median Absolute Deviation (MAD)22
Skewness13.005932
Sum2596732
Variance1030220.1
MonotonicityNot monotonic
2024-04-06T17:51:35.487212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 176
 
1.8%
26 173
 
1.7%
27 172
 
1.7%
28 171
 
1.7%
22 171
 
1.7%
25 170
 
1.7%
24 166
 
1.7%
32 164
 
1.6%
23 162
 
1.6%
29 160
 
1.6%
Other values (1190) 8315
83.2%
ValueCountFrequency (%)
0 50
0.5%
1 32
0.3%
2 28
 
0.3%
3 38
0.4%
4 44
0.4%
5 40
0.4%
6 53
0.5%
7 63
0.6%
8 56
0.6%
9 78
0.8%
ValueCountFrequency (%)
39567 1
< 0.1%
26572 1
< 0.1%
15909 1
< 0.1%
15825 1
< 0.1%
15538 1
< 0.1%
13786 1
< 0.1%
13616 1
< 0.1%
13358 1
< 0.1%
12370 1
< 0.1%
11887 1
< 0.1%

0세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9996 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 0.1%

Length

2024-04-06T17:51:35.902241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:36.175691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 0.1%

1세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9984 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9984
99.8%
1 16
 
0.2%

Length

2024-04-06T17:51:36.571290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:37.092286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9984
99.8%
1 16
 
0.2%

2세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9967 
1
 
29
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9967
99.7%
1 29
 
0.3%
2 4
 
< 0.1%

Length

2024-04-06T17:51:37.835968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:38.163219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9967
99.7%
1 29
 
0.3%
2 4
 
< 0.1%

3세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9956 
1
 
43
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9956
99.6%
1 43
 
0.4%
2 1
 
< 0.1%

Length

2024-04-06T17:51:38.520371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:38.854573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9956
99.6%
1 43
 
0.4%
2 1
 
< 0.1%

4세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9941 
1
 
55
2
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9941
99.4%
1 55
 
0.5%
2 3
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:51:39.176435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:39.486265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9941
99.4%
1 55
 
0.5%
2 3
 
< 0.1%
3 1
 
< 0.1%

5세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9926 
1
 
68
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9926
99.3%
1 68
 
0.7%
2 6
 
0.1%

Length

2024-04-06T17:51:39.934013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:40.227726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9926
99.3%
1 68
 
0.7%
2 6
 
0.1%

6세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9931 
1
 
62
2
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9931
99.3%
1 62
 
0.6%
2 6
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:51:40.600940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:40.916797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9931
99.3%
1 62
 
0.6%
2 6
 
0.1%
3 1
 
< 0.1%

7세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9904 
1
 
83
2
 
9
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9904
99.0%
1 83
 
0.8%
2 9
 
0.1%
3 4
 
< 0.1%

Length

2024-04-06T17:51:41.343293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:41.710315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9904
99.0%
1 83
 
0.8%
2 9
 
0.1%
3 4
 
< 0.1%

8세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9902 
1
 
91
2
 
5
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9902
99.0%
1 91
 
0.9%
2 5
 
0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:51:42.076091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:42.409506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9902
99.0%
1 91
 
0.9%
2 5
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

9세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9864 
1
 
118
2
 
11
3
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9864
98.6%
1 118
 
1.2%
2 11
 
0.1%
3 7
 
0.1%

Length

2024-04-06T17:51:42.779811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:43.086236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9864
98.6%
1 118
 
1.2%
2 11
 
0.1%
3 7
 
0.1%

10세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0185
Minimum0
Maximum6
Zeros9845
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:43.309682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16480433
Coefficient of variation (CV)8.908342
Kurtosis280.5611
Mean0.0185
Median Absolute Deviation (MAD)0
Skewness13.315937
Sum185
Variance0.027160466
MonotonicityNot monotonic
2024-04-06T17:51:43.586688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9845
98.5%
1 133
 
1.3%
2 18
 
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9845
98.5%
1 133
 
1.3%
2 18
 
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 18
 
0.2%
1 133
 
1.3%
0 9845
98.5%

11세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9842 
1
 
133
2
 
21
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9842
98.4%
1 133
 
1.3%
2 21
 
0.2%
3 4
 
< 0.1%

Length

2024-04-06T17:51:43.954990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:44.235610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9842
98.4%
1 133
 
1.3%
2 21
 
0.2%
3 4
 
< 0.1%

12세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9836 
1
 
140
2
 
15
3
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row4
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9836
98.4%
1 140
 
1.4%
2 15
 
0.1%
3 7
 
0.1%
4 2
 
< 0.1%

Length

2024-04-06T17:51:44.531211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:51:44.819329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9836
98.4%
1 140
 
1.4%
2 15
 
0.1%
3 7
 
0.1%
4 2
 
< 0.1%

13세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0234
Minimum0
Maximum12
Zeros9825
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:45.078737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.22859936
Coefficient of variation (CV)9.7692033
Kurtosis926.21181
Mean0.0234
Median Absolute Deviation (MAD)0
Skewness23.304954
Sum234
Variance0.052257666
MonotonicityNot monotonic
2024-04-06T17:51:45.421496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9825
98.2%
1 142
 
1.4%
2 24
 
0.2%
3 5
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 9825
98.2%
1 142
 
1.4%
2 24
 
0.2%
3 5
 
0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
3 5
 
0.1%
2 24
 
0.2%
1 142
 
1.4%
0 9825
98.2%

14세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0244
Minimum0
Maximum22
Zeros9823
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:45.726024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29430138
Coefficient of variation (CV)12.061532
Kurtosis3185.4397
Mean0.0244
Median Absolute Deviation (MAD)0
Skewness46.15064
Sum244
Variance0.086613301
MonotonicityNot monotonic
2024-04-06T17:51:46.039564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9823
98.2%
1 149
 
1.5%
2 15
 
0.1%
3 10
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
0 9823
98.2%
1 149
 
1.5%
2 15
 
0.1%
3 10
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
3 10
 
0.1%
2 15
 
0.1%
1 149
 
1.5%
0 9823
98.2%

15세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0617
Minimum0
Maximum68
Zeros9780
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:46.416147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.1613905
Coefficient of variation (CV)18.823185
Kurtosis2289.4792
Mean0.0617
Median Absolute Deviation (MAD)0
Skewness43.821839
Sum617
Variance1.348828
MonotonicityNot monotonic
2024-04-06T17:51:46.812016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 9780
97.8%
1 158
 
1.6%
2 35
 
0.4%
3 7
 
0.1%
8 2
 
< 0.1%
5 2
 
< 0.1%
20 2
 
< 0.1%
9 2
 
< 0.1%
4 2
 
< 0.1%
12 1
 
< 0.1%
Other values (9) 9
 
0.1%
ValueCountFrequency (%)
0 9780
97.8%
1 158
 
1.6%
2 35
 
0.4%
3 7
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
68 1
< 0.1%
65 1
< 0.1%
35 1
< 0.1%
24 1
< 0.1%
22 1
< 0.1%
20 2
< 0.1%
19 1
< 0.1%
14 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%

16세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0869
Minimum0
Maximum104
Zeros9737
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:47.221383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104
Range104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6716542
Coefficient of variation (CV)19.236527
Kurtosis2355.4968
Mean0.0869
Median Absolute Deviation (MAD)0
Skewness44.34063
Sum869
Variance2.7944278
MonotonicityNot monotonic
2024-04-06T17:51:47.659854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9737
97.4%
1 182
 
1.8%
2 44
 
0.4%
4 8
 
0.1%
7 5
 
0.1%
3 4
 
< 0.1%
9 3
 
< 0.1%
39 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
Other values (12) 12
 
0.1%
ValueCountFrequency (%)
0 9737
97.4%
1 182
 
1.8%
2 44
 
0.4%
3 4
 
< 0.1%
4 8
 
0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 5
 
0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
104 1
< 0.1%
87 1
< 0.1%
42 1
< 0.1%
39 2
< 0.1%
34 1
< 0.1%
29 1
< 0.1%
24 1
< 0.1%
22 1
< 0.1%
14 1
< 0.1%
13 1
< 0.1%

17세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0842
Minimum0
Maximum80
Zeros9712
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:48.074891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.4105706
Coefficient of variation (CV)16.75262
Kurtosis1896.6534
Mean0.0842
Median Absolute Deviation (MAD)0
Skewness39.873516
Sum842
Variance1.9897093
MonotonicityNot monotonic
2024-04-06T17:51:48.461428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9712
97.1%
1 202
 
2.0%
2 43
 
0.4%
3 10
 
0.1%
4 6
 
0.1%
6 5
 
0.1%
13 3
 
< 0.1%
5 3
 
< 0.1%
7 2
 
< 0.1%
12 2
 
< 0.1%
Other values (12) 12
 
0.1%
ValueCountFrequency (%)
0 9712
97.1%
1 202
 
2.0%
2 43
 
0.4%
3 10
 
0.1%
4 6
 
0.1%
5 3
 
< 0.1%
6 5
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
70 1
 
< 0.1%
50 1
 
< 0.1%
37 1
 
< 0.1%
35 1
 
< 0.1%
26 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
13 3
< 0.1%

18세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3237
Minimum0
Maximum182
Zeros9331
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:48.898904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum182
Range182
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5718614
Coefficient of variation (CV)11.034481
Kurtosis1102.1774
Mean0.3237
Median Absolute Deviation (MAD)0
Skewness28.95944
Sum3237
Variance12.758194
MonotonicityNot monotonic
2024-04-06T17:51:49.387997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 9331
93.3%
1 333
 
3.3%
2 112
 
1.1%
3 62
 
0.6%
4 31
 
0.3%
6 23
 
0.2%
5 18
 
0.2%
9 12
 
0.1%
8 11
 
0.1%
10 11
 
0.1%
Other values (29) 56
 
0.6%
ValueCountFrequency (%)
0 9331
93.3%
1 333
 
3.3%
2 112
 
1.1%
3 62
 
0.6%
4 31
 
0.3%
5 18
 
0.2%
6 23
 
0.2%
7 5
 
0.1%
8 11
 
0.1%
9 12
 
0.1%
ValueCountFrequency (%)
182 1
< 0.1%
124 2
< 0.1%
102 1
< 0.1%
79 1
< 0.1%
67 1
< 0.1%
65 1
< 0.1%
59 1
< 0.1%
55 1
< 0.1%
53 2
< 0.1%
51 1
< 0.1%

19세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6167
Minimum0
Maximum233
Zeros8986
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:49.829317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.7749906
Coefficient of variation (CV)9.3643434
Kurtosis790.30413
Mean0.6167
Median Absolute Deviation (MAD)0
Skewness24.774904
Sum6167
Variance33.350516
MonotonicityNot monotonic
2024-04-06T17:51:50.239552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8986
89.9%
1 473
 
4.7%
2 149
 
1.5%
3 100
 
1.0%
4 52
 
0.5%
5 31
 
0.3%
9 24
 
0.2%
7 23
 
0.2%
8 23
 
0.2%
6 22
 
0.2%
Other values (48) 117
 
1.2%
ValueCountFrequency (%)
0 8986
89.9%
1 473
 
4.7%
2 149
 
1.5%
3 100
 
1.0%
4 52
 
0.5%
5 31
 
0.3%
6 22
 
0.2%
7 23
 
0.2%
8 23
 
0.2%
9 24
 
0.2%
ValueCountFrequency (%)
233 1
< 0.1%
218 1
< 0.1%
201 1
< 0.1%
170 1
< 0.1%
153 1
< 0.1%
130 1
< 0.1%
91 1
< 0.1%
88 1
< 0.1%
79 2
< 0.1%
77 1
< 0.1%

20세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7639
Minimum0
Maximum304
Zeros8708
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:50.668953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum304
Range304
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8652022
Coefficient of variation (CV)7.6779712
Kurtosis902.26693
Mean0.7639
Median Absolute Deviation (MAD)0
Skewness23.909256
Sum7639
Variance34.400597
MonotonicityNot monotonic
2024-04-06T17:51:51.072917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8708
87.1%
1 596
 
6.0%
2 190
 
1.9%
3 115
 
1.1%
4 68
 
0.7%
5 58
 
0.6%
6 45
 
0.4%
8 26
 
0.3%
7 19
 
0.2%
9 14
 
0.1%
Other values (51) 161
 
1.6%
ValueCountFrequency (%)
0 8708
87.1%
1 596
 
6.0%
2 190
 
1.9%
3 115
 
1.1%
4 68
 
0.7%
5 58
 
0.6%
6 45
 
0.4%
7 19
 
0.2%
8 26
 
0.3%
9 14
 
0.1%
ValueCountFrequency (%)
304 1
< 0.1%
170 1
< 0.1%
137 1
< 0.1%
121 1
< 0.1%
118 1
< 0.1%
106 1
< 0.1%
90 1
< 0.1%
89 1
< 0.1%
87 1
< 0.1%
86 1
< 0.1%

21세남자
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2392
Minimum0
Maximum364
Zeros8381
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:51.445878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum364
Range364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.8446711
Coefficient of variation (CV)7.137404
Kurtosis563.9886
Mean1.2392
Median Absolute Deviation (MAD)0
Skewness19.686605
Sum12392
Variance78.228206
MonotonicityNot monotonic
2024-04-06T17:51:52.554319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8381
83.8%
1 673
 
6.7%
2 253
 
2.5%
3 143
 
1.4%
4 91
 
0.9%
5 68
 
0.7%
6 42
 
0.4%
7 40
 
0.4%
9 28
 
0.3%
11 27
 
0.3%
Other values (73) 254
 
2.5%
ValueCountFrequency (%)
0 8381
83.8%
1 673
 
6.7%
2 253
 
2.5%
3 143
 
1.4%
4 91
 
0.9%
5 68
 
0.7%
6 42
 
0.4%
7 40
 
0.4%
8 22
 
0.2%
9 28
 
0.3%
ValueCountFrequency (%)
364 1
< 0.1%
303 1
< 0.1%
227 1
< 0.1%
187 1
< 0.1%
171 1
< 0.1%
168 1
< 0.1%
162 1
< 0.1%
156 1
< 0.1%
151 1
< 0.1%
148 1
< 0.1%

22세남자
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1471
Minimum0
Maximum604
Zeros7927
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:52.979918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum604
Range604
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.2308
Coefficient of variation (CV)7.0936611
Kurtosis573.64427
Mean2.1471
Median Absolute Deviation (MAD)0
Skewness19.934698
Sum21471
Variance231.97726
MonotonicityNot monotonic
2024-04-06T17:51:53.385348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7927
79.3%
1 855
 
8.6%
2 277
 
2.8%
3 157
 
1.6%
4 106
 
1.1%
5 83
 
0.8%
6 68
 
0.7%
8 47
 
0.5%
7 46
 
0.5%
9 41
 
0.4%
Other values (101) 393
 
3.9%
ValueCountFrequency (%)
0 7927
79.3%
1 855
 
8.6%
2 277
 
2.8%
3 157
 
1.6%
4 106
 
1.1%
5 83
 
0.8%
6 68
 
0.7%
7 46
 
0.5%
8 47
 
0.5%
9 41
 
0.4%
ValueCountFrequency (%)
604 1
< 0.1%
561 1
< 0.1%
381 1
< 0.1%
370 1
< 0.1%
300 1
< 0.1%
284 1
< 0.1%
274 1
< 0.1%
248 1
< 0.1%
241 1
< 0.1%
234 1
< 0.1%

23세남자
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2491
Minimum0
Maximum868
Zeros7537
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:53.834915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum868
Range868
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.189504
Coefficient of variation (CV)6.8294309
Kurtosis564.08333
Mean3.2491
Median Absolute Deviation (MAD)0
Skewness19.659988
Sum32491
Variance492.37409
MonotonicityNot monotonic
2024-04-06T17:51:54.262739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7537
75.4%
1 1012
 
10.1%
2 283
 
2.8%
3 169
 
1.7%
4 130
 
1.3%
5 97
 
1.0%
6 73
 
0.7%
7 51
 
0.5%
8 45
 
0.4%
10 41
 
0.4%
Other values (131) 562
 
5.6%
ValueCountFrequency (%)
0 7537
75.4%
1 1012
 
10.1%
2 283
 
2.8%
3 169
 
1.7%
4 130
 
1.3%
5 97
 
1.0%
6 73
 
0.7%
7 51
 
0.5%
8 45
 
0.4%
9 41
 
0.4%
ValueCountFrequency (%)
868 1
< 0.1%
820 1
< 0.1%
602 1
< 0.1%
509 1
< 0.1%
422 1
< 0.1%
418 1
< 0.1%
391 1
< 0.1%
350 1
< 0.1%
329 1
< 0.1%
322 1
< 0.1%

24세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8581
Minimum0
Maximum1191
Zeros7235
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:54.694835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum1191
Range1191
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.85588
Coefficient of variation (CV)6.4425182
Kurtosis742.99265
Mean3.8581
Median Absolute Deviation (MAD)0
Skewness21.573753
Sum38581
Variance617.81475
MonotonicityNot monotonic
2024-04-06T17:51:55.076446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7235
72.4%
1 1116
 
11.2%
2 345
 
3.5%
3 171
 
1.7%
4 128
 
1.3%
5 95
 
0.9%
6 76
 
0.8%
7 57
 
0.6%
8 52
 
0.5%
9 51
 
0.5%
Other values (137) 674
 
6.7%
ValueCountFrequency (%)
0 7235
72.4%
1 1116
 
11.2%
2 345
 
3.5%
3 171
 
1.7%
4 128
 
1.3%
5 95
 
0.9%
6 76
 
0.8%
7 57
 
0.6%
8 52
 
0.5%
9 51
 
0.5%
ValueCountFrequency (%)
1191 1
< 0.1%
815 1
< 0.1%
601 1
< 0.1%
534 1
< 0.1%
470 1
< 0.1%
448 1
< 0.1%
367 1
< 0.1%
346 1
< 0.1%
337 1
< 0.1%
335 1
< 0.1%

25세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.485
Minimum0
Maximum1570
Zeros6937
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:55.504086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile19
Maximum1570
Range1570
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.015047
Coefficient of variation (CV)6.0234218
Kurtosis1211.2079
Mean4.485
Median Absolute Deviation (MAD)0
Skewness25.7902
Sum44850
Variance729.81276
MonotonicityNot monotonic
2024-04-06T17:51:55.984473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6937
69.4%
1 1235
 
12.3%
2 359
 
3.6%
3 198
 
2.0%
4 133
 
1.3%
5 105
 
1.1%
8 80
 
0.8%
6 69
 
0.7%
7 55
 
0.5%
10 51
 
0.5%
Other values (148) 778
 
7.8%
ValueCountFrequency (%)
0 6937
69.4%
1 1235
 
12.3%
2 359
 
3.6%
3 198
 
2.0%
4 133
 
1.3%
5 105
 
1.1%
6 69
 
0.7%
7 55
 
0.5%
8 80
 
0.8%
9 50
 
0.5%
ValueCountFrequency (%)
1570 1
< 0.1%
560 1
< 0.1%
510 1
< 0.1%
476 1
< 0.1%
468 1
< 0.1%
462 1
< 0.1%
428 1
< 0.1%
354 1
< 0.1%
314 1
< 0.1%
308 1
< 0.1%

26세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct181
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2982
Minimum0
Maximum1923
Zeros6670
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:56.550783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile23
Maximum1923
Range1923
Interquartile range (IQR)1

Descriptive statistics

Standard deviation31.023441
Coefficient of variation (CV)5.8554682
Kurtosis1517.8291
Mean5.2982
Median Absolute Deviation (MAD)0
Skewness28.703063
Sum52982
Variance962.45392
MonotonicityNot monotonic
2024-04-06T17:51:57.028718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6670
66.7%
1 1261
 
12.6%
2 453
 
4.5%
3 225
 
2.2%
4 143
 
1.4%
6 102
 
1.0%
5 93
 
0.9%
7 72
 
0.7%
8 63
 
0.6%
9 59
 
0.6%
Other values (171) 859
 
8.6%
ValueCountFrequency (%)
0 6670
66.7%
1 1261
 
12.6%
2 453
 
4.5%
3 225
 
2.2%
4 143
 
1.4%
5 93
 
0.9%
6 102
 
1.0%
7 72
 
0.7%
8 63
 
0.6%
9 59
 
0.6%
ValueCountFrequency (%)
1923 1
< 0.1%
643 1
< 0.1%
492 1
< 0.1%
447 1
< 0.1%
444 1
< 0.1%
397 1
< 0.1%
392 1
< 0.1%
389 1
< 0.1%
374 1
< 0.1%
372 1
< 0.1%

27세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct190
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0495
Minimum0
Maximum2239
Zeros6534
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:57.500979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile27
Maximum2239
Range2239
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.300692
Coefficient of variation (CV)5.8353074
Kurtosis1657.7155
Mean6.0495
Median Absolute Deviation (MAD)0
Skewness30.137455
Sum60495
Variance1246.1389
MonotonicityNot monotonic
2024-04-06T17:51:57.919543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6534
65.3%
1 1322
 
13.2%
2 419
 
4.2%
3 232
 
2.3%
4 177
 
1.8%
5 104
 
1.0%
6 75
 
0.8%
7 61
 
0.6%
9 59
 
0.6%
10 56
 
0.6%
Other values (180) 961
 
9.6%
ValueCountFrequency (%)
0 6534
65.3%
1 1322
 
13.2%
2 419
 
4.2%
3 232
 
2.3%
4 177
 
1.8%
5 104
 
1.0%
6 75
 
0.8%
7 61
 
0.6%
8 51
 
0.5%
9 59
 
0.6%
ValueCountFrequency (%)
2239 1
< 0.1%
807 1
< 0.1%
455 1
< 0.1%
437 2
< 0.1%
418 1
< 0.1%
414 1
< 0.1%
413 1
< 0.1%
408 1
< 0.1%
407 1
< 0.1%
396 1
< 0.1%

28세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8385
Minimum0
Maximum2303
Zeros6364
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:58.374988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile32
Maximum2303
Range2303
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.261937
Coefficient of variation (CV)5.5950774
Kurtosis1364.8806
Mean6.8385
Median Absolute Deviation (MAD)0
Skewness26.964267
Sum68385
Variance1463.9758
MonotonicityNot monotonic
2024-04-06T17:51:58.765300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6364
63.6%
1 1380
 
13.8%
2 450
 
4.5%
3 243
 
2.4%
4 150
 
1.5%
6 100
 
1.0%
5 97
 
1.0%
7 79
 
0.8%
9 77
 
0.8%
8 70
 
0.7%
Other values (199) 990
 
9.9%
ValueCountFrequency (%)
0 6364
63.6%
1 1380
 
13.8%
2 450
 
4.5%
3 243
 
2.4%
4 150
 
1.5%
5 97
 
1.0%
6 100
 
1.0%
7 79
 
0.8%
8 70
 
0.7%
9 77
 
0.8%
ValueCountFrequency (%)
2303 1
< 0.1%
939 1
< 0.1%
504 1
< 0.1%
495 1
< 0.1%
491 1
< 0.1%
475 1
< 0.1%
452 1
< 0.1%
441 1
< 0.1%
434 1
< 0.1%
419 1
< 0.1%

29세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct222
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3297
Minimum0
Maximum2278
Zeros6265
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:51:59.150039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile34
Maximum2278
Range2278
Interquartile range (IQR)1

Descriptive statistics

Standard deviation39.941812
Coefficient of variation (CV)5.4493106
Kurtosis1125.9436
Mean7.3297
Median Absolute Deviation (MAD)0
Skewness24.304997
Sum73297
Variance1595.3483
MonotonicityNot monotonic
2024-04-06T17:51:59.629329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6265
62.6%
1 1421
 
14.2%
2 497
 
5.0%
3 239
 
2.4%
4 139
 
1.4%
5 105
 
1.1%
6 81
 
0.8%
8 73
 
0.7%
7 63
 
0.6%
10 61
 
0.6%
Other values (212) 1056
 
10.6%
ValueCountFrequency (%)
0 6265
62.6%
1 1421
 
14.2%
2 497
 
5.0%
3 239
 
2.4%
4 139
 
1.4%
5 105
 
1.1%
6 81
 
0.8%
7 63
 
0.6%
8 73
 
0.7%
9 56
 
0.6%
ValueCountFrequency (%)
2278 1
< 0.1%
1047 1
< 0.1%
544 1
< 0.1%
534 1
< 0.1%
515 1
< 0.1%
496 1
< 0.1%
480 1
< 0.1%
468 1
< 0.1%
436 1
< 0.1%
435 1
< 0.1%

30세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3599
Minimum0
Maximum2121
Zeros6232
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:00.090156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile36
Maximum2121
Range2121
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.965354
Coefficient of variation (CV)5.2942776
Kurtosis959.16582
Mean7.3599
Median Absolute Deviation (MAD)0
Skewness22.34204
Sum73599
Variance1518.2988
MonotonicityNot monotonic
2024-04-06T17:52:00.602998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6232
62.3%
1 1448
 
14.5%
2 499
 
5.0%
3 237
 
2.4%
4 154
 
1.5%
5 109
 
1.1%
6 87
 
0.9%
7 65
 
0.7%
8 59
 
0.6%
9 57
 
0.6%
Other values (208) 1053
 
10.5%
ValueCountFrequency (%)
0 6232
62.3%
1 1448
 
14.5%
2 499
 
5.0%
3 237
 
2.4%
4 154
 
1.5%
5 109
 
1.1%
6 87
 
0.9%
7 65
 
0.7%
8 59
 
0.6%
9 57
 
0.6%
ValueCountFrequency (%)
2121 1
< 0.1%
1070 1
< 0.1%
621 1
< 0.1%
504 1
< 0.1%
480 1
< 0.1%
477 1
< 0.1%
475 1
< 0.1%
473 1
< 0.1%
442 2
< 0.1%
413 1
< 0.1%

31세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct223
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4564
Minimum0
Maximum1991
Zeros6227
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:01.079501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile37
Maximum1991
Range1991
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.404062
Coefficient of variation (CV)5.1504831
Kurtosis800.25962
Mean7.4564
Median Absolute Deviation (MAD)0
Skewness20.205235
Sum74564
Variance1474.872
MonotonicityNot monotonic
2024-04-06T17:52:01.530727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6227
62.3%
1 1447
 
14.5%
2 501
 
5.0%
3 217
 
2.2%
4 169
 
1.7%
5 103
 
1.0%
6 95
 
0.9%
7 77
 
0.8%
8 62
 
0.6%
11 53
 
0.5%
Other values (213) 1049
 
10.5%
ValueCountFrequency (%)
0 6227
62.3%
1 1447
 
14.5%
2 501
 
5.0%
3 217
 
2.2%
4 169
 
1.7%
5 103
 
1.0%
6 95
 
0.9%
7 77
 
0.8%
8 62
 
0.6%
9 53
 
0.5%
ValueCountFrequency (%)
1991 1
< 0.1%
1017 1
< 0.1%
583 1
< 0.1%
575 1
< 0.1%
497 1
< 0.1%
489 1
< 0.1%
474 1
< 0.1%
471 1
< 0.1%
437 1
< 0.1%
413 1
< 0.1%

32세남자
Real number (ℝ)

ZEROS 

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0045
Minimum0
Maximum1780
Zeros6286
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:02.065520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile35
Maximum1780
Range1780
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.548269
Coefficient of variation (CV)5.0750616
Kurtosis724.1277
Mean7.0045
Median Absolute Deviation (MAD)0
Skewness19.314767
Sum70045
Variance1263.6794
MonotonicityNot monotonic
2024-04-06T17:52:02.475954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6286
62.9%
1 1473
 
14.7%
2 431
 
4.3%
3 232
 
2.3%
4 163
 
1.6%
5 119
 
1.2%
6 97
 
1.0%
7 71
 
0.7%
8 60
 
0.6%
9 54
 
0.5%
Other values (204) 1014
 
10.1%
ValueCountFrequency (%)
0 6286
62.9%
1 1473
 
14.7%
2 431
 
4.3%
3 232
 
2.3%
4 163
 
1.6%
5 119
 
1.2%
6 97
 
1.0%
7 71
 
0.7%
8 60
 
0.6%
9 54
 
0.5%
ValueCountFrequency (%)
1780 1
< 0.1%
1010 1
< 0.1%
588 1
< 0.1%
519 1
< 0.1%
469 1
< 0.1%
461 1
< 0.1%
450 1
< 0.1%
412 1
< 0.1%
392 1
< 0.1%
371 1
< 0.1%

33세남자
Real number (ℝ)

ZEROS 

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1065
Minimum0
Maximum1384
Zeros6362
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:02.895062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile31
Maximum1384
Range1384
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.876004
Coefficient of variation (CV)4.8924923
Kurtosis552.66209
Mean6.1065
Median Absolute Deviation (MAD)0
Skewness16.889393
Sum61065
Variance892.57562
MonotonicityNot monotonic
2024-04-06T17:52:04.061358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6362
63.6%
1 1477
 
14.8%
2 448
 
4.5%
3 200
 
2.0%
4 161
 
1.6%
5 113
 
1.1%
6 85
 
0.9%
7 74
 
0.7%
8 58
 
0.6%
9 54
 
0.5%
Other values (186) 968
 
9.7%
ValueCountFrequency (%)
0 6362
63.6%
1 1477
 
14.8%
2 448
 
4.5%
3 200
 
2.0%
4 161
 
1.6%
5 113
 
1.1%
6 85
 
0.9%
7 74
 
0.7%
8 58
 
0.6%
9 54
 
0.5%
ValueCountFrequency (%)
1384 1
< 0.1%
805 1
< 0.1%
502 1
< 0.1%
474 1
< 0.1%
400 1
< 0.1%
386 1
< 0.1%
385 1
< 0.1%
368 1
< 0.1%
365 1
< 0.1%
363 1
< 0.1%

34세남자
Real number (ℝ)

ZEROS 

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6642
Minimum0
Maximum1100
Zeros6412
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:04.487982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile30
Maximum1100
Range1100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.620054
Coefficient of variation (CV)4.6997024
Kurtosis398.85077
Mean5.6642
Median Absolute Deviation (MAD)0
Skewness14.554825
Sum56642
Variance708.6273
MonotonicityNot monotonic
2024-04-06T17:52:04.947553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6412
64.1%
1 1457
 
14.6%
2 447
 
4.5%
3 227
 
2.3%
4 146
 
1.5%
5 115
 
1.1%
6 76
 
0.8%
7 68
 
0.7%
8 57
 
0.6%
9 50
 
0.5%
Other values (172) 945
 
9.4%
ValueCountFrequency (%)
0 6412
64.1%
1 1457
 
14.6%
2 447
 
4.5%
3 227
 
2.3%
4 146
 
1.5%
5 115
 
1.1%
6 76
 
0.8%
7 68
 
0.7%
8 57
 
0.6%
9 50
 
0.5%
ValueCountFrequency (%)
1100 1
< 0.1%
753 1
< 0.1%
478 1
< 0.1%
388 1
< 0.1%
371 1
< 0.1%
366 1
< 0.1%
331 1
< 0.1%
323 1
< 0.1%
313 1
< 0.1%
309 1
< 0.1%

35세남자
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1624
Minimum0
Maximum963
Zeros6404
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:05.374925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile26
Maximum963
Range963
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.952724
Coefficient of variation (CV)4.6398428
Kurtosis363.60791
Mean5.1624
Median Absolute Deviation (MAD)0
Skewness14.003929
Sum51624
Variance573.733
MonotonicityNot monotonic
2024-04-06T17:52:05.805349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6404
64.0%
1 1465
 
14.6%
2 475
 
4.8%
3 245
 
2.5%
4 147
 
1.5%
5 115
 
1.1%
6 74
 
0.7%
8 57
 
0.6%
9 56
 
0.6%
7 48
 
0.5%
Other values (161) 914
 
9.1%
ValueCountFrequency (%)
0 6404
64.0%
1 1465
 
14.6%
2 475
 
4.8%
3 245
 
2.5%
4 147
 
1.5%
5 115
 
1.1%
6 74
 
0.7%
7 48
 
0.5%
8 57
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
963 1
< 0.1%
646 1
< 0.1%
400 1
< 0.1%
389 1
< 0.1%
381 1
< 0.1%
358 1
< 0.1%
325 1
< 0.1%
321 1
< 0.1%
288 1
< 0.1%
278 1
< 0.1%

36세남자
Real number (ℝ)

ZEROS 

Distinct164
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7185
Minimum0
Maximum812
Zeros6451
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:06.204406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile26
Maximum812
Range812
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.18968
Coefficient of variation (CV)4.4907662
Kurtosis316.69233
Mean4.7185
Median Absolute Deviation (MAD)0
Skewness13.060908
Sum47185
Variance449.00256
MonotonicityNot monotonic
2024-04-06T17:52:06.672976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6451
64.5%
1 1470
 
14.7%
2 473
 
4.7%
3 228
 
2.3%
4 153
 
1.5%
5 89
 
0.9%
7 82
 
0.8%
6 78
 
0.8%
8 56
 
0.6%
9 48
 
0.5%
Other values (154) 872
 
8.7%
ValueCountFrequency (%)
0 6451
64.5%
1 1470
 
14.7%
2 473
 
4.7%
3 228
 
2.3%
4 153
 
1.5%
5 89
 
0.9%
6 78
 
0.8%
7 82
 
0.8%
8 56
 
0.6%
9 48
 
0.5%
ValueCountFrequency (%)
812 1
< 0.1%
580 1
< 0.1%
340 1
< 0.1%
337 1
< 0.1%
307 1
< 0.1%
300 1
< 0.1%
297 1
< 0.1%
257 1
< 0.1%
250 1
< 0.1%
248 1
< 0.1%

37세남자
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4078
Minimum0
Maximum663
Zeros6441
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:07.019056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile23
Maximum663
Range663
Interquartile range (IQR)1

Descriptive statistics

Standard deviation19.418497
Coefficient of variation (CV)4.4054849
Kurtosis261.08141
Mean4.4078
Median Absolute Deviation (MAD)0
Skewness12.177507
Sum44078
Variance377.07801
MonotonicityNot monotonic
2024-04-06T17:52:07.331527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6441
64.4%
1 1476
 
14.8%
2 498
 
5.0%
3 226
 
2.3%
4 142
 
1.4%
5 110
 
1.1%
6 87
 
0.9%
7 71
 
0.7%
8 47
 
0.5%
10 45
 
0.4%
Other values (141) 857
 
8.6%
ValueCountFrequency (%)
0 6441
64.4%
1 1476
 
14.8%
2 498
 
5.0%
3 226
 
2.3%
4 142
 
1.4%
5 110
 
1.1%
6 87
 
0.9%
7 71
 
0.7%
8 47
 
0.5%
9 39
 
0.4%
ValueCountFrequency (%)
663 1
< 0.1%
568 1
< 0.1%
332 1
< 0.1%
326 1
< 0.1%
315 1
< 0.1%
272 1
< 0.1%
270 1
< 0.1%
263 1
< 0.1%
244 1
< 0.1%
222 1
< 0.1%

38세남자
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3324
Minimum0
Maximum568
Zeros6354
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:07.686918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile23
Maximum568
Range568
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.37382
Coefficient of variation (CV)4.2410258
Kurtosis212.0985
Mean4.3324
Median Absolute Deviation (MAD)0
Skewness11.088442
Sum43324
Variance337.59727
MonotonicityNot monotonic
2024-04-06T17:52:08.090443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6354
63.5%
1 1525
 
15.2%
2 497
 
5.0%
3 230
 
2.3%
4 168
 
1.7%
5 115
 
1.1%
7 85
 
0.9%
6 70
 
0.7%
8 48
 
0.5%
10 40
 
0.4%
Other values (148) 868
 
8.7%
ValueCountFrequency (%)
0 6354
63.5%
1 1525
 
15.2%
2 497
 
5.0%
3 230
 
2.3%
4 168
 
1.7%
5 115
 
1.1%
6 70
 
0.7%
7 85
 
0.9%
8 48
 
0.5%
9 39
 
0.4%
ValueCountFrequency (%)
568 1
< 0.1%
530 1
< 0.1%
325 1
< 0.1%
294 1
< 0.1%
279 1
< 0.1%
263 1
< 0.1%
234 1
< 0.1%
232 1
< 0.1%
229 1
< 0.1%
224 1
< 0.1%

39세남자
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.08
Minimum0
Maximum501
Zeros6309
Zeros (%)63.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:08.603935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22
Maximum501
Range501
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.955186
Coefficient of variation (CV)4.155683
Kurtosis190.80551
Mean4.08
Median Absolute Deviation (MAD)0
Skewness10.647567
Sum40800
Variance287.47835
MonotonicityNot monotonic
2024-04-06T17:52:09.520119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6309
63.1%
1 1570
 
15.7%
2 507
 
5.1%
3 234
 
2.3%
4 159
 
1.6%
5 105
 
1.1%
6 88
 
0.9%
7 74
 
0.7%
9 59
 
0.6%
8 56
 
0.6%
Other values (123) 839
 
8.4%
ValueCountFrequency (%)
0 6309
63.1%
1 1570
 
15.7%
2 507
 
5.1%
3 234
 
2.3%
4 159
 
1.6%
5 105
 
1.1%
6 88
 
0.9%
7 74
 
0.7%
8 56
 
0.6%
9 59
 
0.6%
ValueCountFrequency (%)
501 1
< 0.1%
467 1
< 0.1%
311 1
< 0.1%
293 1
< 0.1%
277 1
< 0.1%
230 1
< 0.1%
229 1
< 0.1%
220 1
< 0.1%
210 1
< 0.1%
196 1
< 0.1%

40세남자
Real number (ℝ)

ZEROS 

Distinct146
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3518
Minimum0
Maximum524
Zeros6036
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:10.126411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile24
Maximum524
Range524
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.753731
Coefficient of variation (CV)4.0796293
Kurtosis183.01694
Mean4.3518
Median Absolute Deviation (MAD)0
Skewness10.449215
Sum43518
Variance315.19496
MonotonicityNot monotonic
2024-04-06T17:52:10.752630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6036
60.4%
1 1688
 
16.9%
2 574
 
5.7%
3 287
 
2.9%
4 163
 
1.6%
5 123
 
1.2%
7 72
 
0.7%
6 71
 
0.7%
8 65
 
0.7%
9 61
 
0.6%
Other values (136) 860
 
8.6%
ValueCountFrequency (%)
0 6036
60.4%
1 1688
 
16.9%
2 574
 
5.7%
3 287
 
2.9%
4 163
 
1.6%
5 123
 
1.2%
6 71
 
0.7%
7 72
 
0.7%
8 65
 
0.7%
9 61
 
0.6%
ValueCountFrequency (%)
524 1
< 0.1%
464 1
< 0.1%
330 1
< 0.1%
321 1
< 0.1%
307 1
< 0.1%
261 1
< 0.1%
237 1
< 0.1%
220 1
< 0.1%
214 1
< 0.1%
204 1
< 0.1%

41세남자
Real number (ℝ)

ZEROS 

Distinct152
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.583
Minimum0
Maximum506
Zeros5812
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:11.342079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile25
Maximum506
Range506
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.230012
Coefficient of variation (CV)3.9777465
Kurtosis166.21848
Mean4.583
Median Absolute Deviation (MAD)0
Skewness9.9969738
Sum45830
Variance332.33334
MonotonicityNot monotonic
2024-04-06T17:52:11.925256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5812
58.1%
1 1801
 
18.0%
2 606
 
6.1%
3 290
 
2.9%
4 181
 
1.8%
5 118
 
1.2%
6 100
 
1.0%
7 76
 
0.8%
8 58
 
0.6%
9 53
 
0.5%
Other values (142) 905
 
9.0%
ValueCountFrequency (%)
0 5812
58.1%
1 1801
 
18.0%
2 606
 
6.1%
3 290
 
2.9%
4 181
 
1.8%
5 118
 
1.2%
6 100
 
1.0%
7 76
 
0.8%
8 58
 
0.6%
9 53
 
0.5%
ValueCountFrequency (%)
506 1
< 0.1%
477 1
< 0.1%
366 1
< 0.1%
328 1
< 0.1%
287 1
< 0.1%
242 1
< 0.1%
240 1
< 0.1%
229 1
< 0.1%
216 1
< 0.1%
213 1
< 0.1%

42세남자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7215
Minimum0
Maximum506
Zeros5722
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:12.842912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile26
Maximum506
Range506
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.460038
Coefficient of variation (CV)3.9097826
Kurtosis155.60238
Mean4.7215
Median Absolute Deviation (MAD)0
Skewness9.715144
Sum47215
Variance340.77302
MonotonicityNot monotonic
2024-04-06T17:52:13.234718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5722
57.2%
1 1794
 
17.9%
2 650
 
6.5%
3 323
 
3.2%
4 160
 
1.6%
5 130
 
1.3%
6 93
 
0.9%
7 69
 
0.7%
8 68
 
0.7%
9 53
 
0.5%
Other values (139) 938
 
9.4%
ValueCountFrequency (%)
0 5722
57.2%
1 1794
 
17.9%
2 650
 
6.5%
3 323
 
3.2%
4 160
 
1.6%
5 130
 
1.3%
6 93
 
0.9%
7 69
 
0.7%
8 68
 
0.7%
9 53
 
0.5%
ValueCountFrequency (%)
506 1
< 0.1%
467 1
< 0.1%
353 1
< 0.1%
318 1
< 0.1%
296 1
< 0.1%
279 1
< 0.1%
251 1
< 0.1%
215 1
< 0.1%
207 2
< 0.1%
199 1
< 0.1%

43세남자
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5184
Minimum0
Maximum440
Zeros5640
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:13.543324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile24
Maximum440
Range440
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.447891
Coefficient of variation (CV)3.8615198
Kurtosis145.81688
Mean4.5184
Median Absolute Deviation (MAD)0
Skewness9.5343019
Sum45184
Variance304.4289
MonotonicityNot monotonic
2024-04-06T17:52:13.938883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5640
56.4%
1 1892
 
18.9%
2 638
 
6.4%
3 292
 
2.9%
4 202
 
2.0%
5 121
 
1.2%
6 105
 
1.1%
7 69
 
0.7%
9 66
 
0.7%
8 63
 
0.6%
Other values (137) 912
 
9.1%
ValueCountFrequency (%)
0 5640
56.4%
1 1892
 
18.9%
2 638
 
6.4%
3 292
 
2.9%
4 202
 
2.0%
5 121
 
1.2%
6 105
 
1.1%
7 69
 
0.7%
8 63
 
0.6%
9 66
 
0.7%
ValueCountFrequency (%)
440 1
< 0.1%
436 1
< 0.1%
363 1
< 0.1%
293 1
< 0.1%
289 1
< 0.1%
281 1
< 0.1%
230 1
< 0.1%
218 1
< 0.1%
214 1
< 0.1%
205 1
< 0.1%

44세남자
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4796
Minimum0
Maximum436
Zeros5534
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:14.339535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile24
Maximum436
Range436
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.066883
Coefficient of variation (CV)3.8099124
Kurtosis136.79332
Mean4.4796
Median Absolute Deviation (MAD)0
Skewness9.2509883
Sum44796
Variance291.27851
MonotonicityNot monotonic
2024-04-06T17:52:14.770654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5534
55.3%
1 1930
 
19.3%
2 672
 
6.7%
3 309
 
3.1%
4 207
 
2.1%
5 115
 
1.1%
6 103
 
1.0%
7 88
 
0.9%
8 80
 
0.8%
10 55
 
0.5%
Other values (131) 907
 
9.1%
ValueCountFrequency (%)
0 5534
55.3%
1 1930
 
19.3%
2 672
 
6.7%
3 309
 
3.1%
4 207
 
2.1%
5 115
 
1.1%
6 103
 
1.0%
7 88
 
0.9%
8 80
 
0.8%
9 44
 
0.4%
ValueCountFrequency (%)
436 1
< 0.1%
409 1
< 0.1%
324 1
< 0.1%
302 1
< 0.1%
287 1
< 0.1%
257 1
< 0.1%
230 1
< 0.1%
200 1
< 0.1%
198 1
< 0.1%
197 2
< 0.1%

45세남자
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0126
Minimum0
Maximum375
Zeros5502
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:15.568174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile22
Maximum375
Range375
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.961344
Coefficient of variation (CV)3.728591
Kurtosis136.83385
Mean4.0126
Median Absolute Deviation (MAD)0
Skewness9.2311768
Sum40126
Variance223.84183
MonotonicityNot monotonic
2024-04-06T17:52:16.311873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5502
55.0%
1 1997
 
20.0%
2 693
 
6.9%
3 319
 
3.2%
4 175
 
1.8%
5 130
 
1.3%
6 99
 
1.0%
7 82
 
0.8%
8 73
 
0.7%
9 72
 
0.7%
Other values (121) 858
 
8.6%
ValueCountFrequency (%)
0 5502
55.0%
1 1997
 
20.0%
2 693
 
6.9%
3 319
 
3.2%
4 175
 
1.8%
5 130
 
1.3%
6 99
 
1.0%
7 82
 
0.8%
8 73
 
0.7%
9 72
 
0.7%
ValueCountFrequency (%)
375 1
< 0.1%
367 1
< 0.1%
282 1
< 0.1%
266 1
< 0.1%
249 1
< 0.1%
222 1
< 0.1%
212 1
< 0.1%
195 1
< 0.1%
179 1
< 0.1%
177 1
< 0.1%

46세남자
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0841
Minimum0
Maximum356
Zeros5414
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:16.849667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile22
Maximum356
Range356
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.892804
Coefficient of variation (CV)3.6465326
Kurtosis122.49114
Mean4.0841
Median Absolute Deviation (MAD)0
Skewness8.7930958
Sum40841
Variance221.79561
MonotonicityNot monotonic
2024-04-06T17:52:17.314473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5414
54.1%
1 2012
 
20.1%
2 696
 
7.0%
3 352
 
3.5%
4 176
 
1.8%
5 147
 
1.5%
6 107
 
1.1%
7 91
 
0.9%
8 72
 
0.7%
9 52
 
0.5%
Other values (127) 881
 
8.8%
ValueCountFrequency (%)
0 5414
54.1%
1 2012
 
20.1%
2 696
 
7.0%
3 352
 
3.5%
4 176
 
1.8%
5 147
 
1.5%
6 107
 
1.1%
7 91
 
0.9%
8 72
 
0.7%
9 52
 
0.5%
ValueCountFrequency (%)
356 1
< 0.1%
346 1
< 0.1%
275 1
< 0.1%
274 1
< 0.1%
256 1
< 0.1%
218 1
< 0.1%
186 1
< 0.1%
180 1
< 0.1%
172 1
< 0.1%
166 1
< 0.1%

47세남자
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0023
Minimum0
Maximum397
Zeros5200
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:17.831170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile21
Maximum397
Range397
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.594711
Coefficient of variation (CV)3.646581
Kurtosis144.13032
Mean4.0023
Median Absolute Deviation (MAD)0
Skewness9.351008
Sum40023
Variance213.0056
MonotonicityNot monotonic
2024-04-06T17:52:18.810026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5200
52.0%
1 2109
21.1%
2 800
 
8.0%
3 341
 
3.4%
4 235
 
2.4%
5 136
 
1.4%
6 112
 
1.1%
7 82
 
0.8%
9 63
 
0.6%
11 59
 
0.6%
Other values (112) 863
 
8.6%
ValueCountFrequency (%)
0 5200
52.0%
1 2109
21.1%
2 800
 
8.0%
3 341
 
3.4%
4 235
 
2.4%
5 136
 
1.4%
6 112
 
1.1%
7 82
 
0.8%
8 55
 
0.5%
9 63
 
0.6%
ValueCountFrequency (%)
397 1
< 0.1%
345 1
< 0.1%
294 1
< 0.1%
239 1
< 0.1%
225 1
< 0.1%
200 1
< 0.1%
186 1
< 0.1%
185 1
< 0.1%
184 1
< 0.1%
175 1
< 0.1%

48세남자
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2504
Minimum0
Maximum343
Zeros5021
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:19.200406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile22
Maximum343
Range343
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.999333
Coefficient of variation (CV)3.5289227
Kurtosis120.67816
Mean4.2504
Median Absolute Deviation (MAD)0
Skewness8.727021
Sum42504
Variance224.98
MonotonicityNot monotonic
2024-04-06T17:52:19.565610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5021
50.2%
1 2072
20.7%
2 877
 
8.8%
3 403
 
4.0%
4 217
 
2.2%
5 144
 
1.4%
6 118
 
1.2%
7 91
 
0.9%
8 81
 
0.8%
10 64
 
0.6%
Other values (122) 912
 
9.1%
ValueCountFrequency (%)
0 5021
50.2%
1 2072
20.7%
2 877
 
8.8%
3 403
 
4.0%
4 217
 
2.2%
5 144
 
1.4%
6 118
 
1.2%
7 91
 
0.9%
8 81
 
0.8%
9 55
 
0.5%
ValueCountFrequency (%)
343 1
< 0.1%
335 1
< 0.1%
324 1
< 0.1%
276 1
< 0.1%
257 1
< 0.1%
197 1
< 0.1%
185 1
< 0.1%
182 1
< 0.1%
178 1
< 0.1%
174 1
< 0.1%

49세남자
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5721
Minimum0
Maximum367
Zeros4703
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:20.033734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile23
Maximum367
Range367
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.018135
Coefficient of variation (CV)3.5034525
Kurtosis117.51124
Mean4.5721
Median Absolute Deviation (MAD)1
Skewness8.6751028
Sum45721
Variance256.58066
MonotonicityNot monotonic
2024-04-06T17:52:20.458272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4703
47.0%
1 2254
22.5%
2 907
 
9.1%
3 405
 
4.0%
4 255
 
2.5%
5 161
 
1.6%
6 123
 
1.2%
7 89
 
0.9%
8 84
 
0.8%
9 70
 
0.7%
Other values (125) 949
 
9.5%
ValueCountFrequency (%)
0 4703
47.0%
1 2254
22.5%
2 907
 
9.1%
3 405
 
4.0%
4 255
 
2.5%
5 161
 
1.6%
6 123
 
1.2%
7 89
 
0.9%
8 84
 
0.8%
9 70
 
0.7%
ValueCountFrequency (%)
367 1
< 0.1%
338 1
< 0.1%
331 1
< 0.1%
317 1
< 0.1%
261 1
< 0.1%
223 1
< 0.1%
210 1
< 0.1%
202 1
< 0.1%
200 1
< 0.1%
189 1
< 0.1%

50세남자
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9021
Minimum0
Maximum399
Zeros4382
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:20.816343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile25
Maximum399
Range399
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.113258
Coefficient of variation (CV)3.4910055
Kurtosis118.59086
Mean4.9021
Median Absolute Deviation (MAD)1
Skewness8.7445816
Sum49021
Variance292.8636
MonotonicityNot monotonic
2024-04-06T17:52:21.212842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4382
43.8%
1 2341
23.4%
2 974
 
9.7%
3 472
 
4.7%
4 290
 
2.9%
5 176
 
1.8%
6 133
 
1.3%
7 94
 
0.9%
9 79
 
0.8%
10 73
 
0.7%
Other values (134) 986
 
9.9%
ValueCountFrequency (%)
0 4382
43.8%
1 2341
23.4%
2 974
 
9.7%
3 472
 
4.7%
4 290
 
2.9%
5 176
 
1.8%
6 133
 
1.3%
7 94
 
0.9%
8 72
 
0.7%
9 79
 
0.8%
ValueCountFrequency (%)
399 1
< 0.1%
359 1
< 0.1%
351 1
< 0.1%
326 1
< 0.1%
273 1
< 0.1%
241 1
< 0.1%
235 1
< 0.1%
228 1
< 0.1%
222 1
< 0.1%
206 1
< 0.1%

51세남자
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0681
Minimum0
Maximum394
Zeros4248
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:21.718928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile26
Maximum394
Range394
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.630733
Coefficient of variation (CV)3.4787658
Kurtosis120.23605
Mean5.0681
Median Absolute Deviation (MAD)1
Skewness8.837899
Sum50681
Variance310.84275
MonotonicityNot monotonic
2024-04-06T17:52:22.760666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4248
42.5%
1 2337
23.4%
2 1067
 
10.7%
3 484
 
4.8%
4 273
 
2.7%
5 173
 
1.7%
6 130
 
1.3%
7 101
 
1.0%
8 97
 
1.0%
11 71
 
0.7%
Other values (138) 1019
 
10.2%
ValueCountFrequency (%)
0 4248
42.5%
1 2337
23.4%
2 1067
 
10.7%
3 484
 
4.8%
4 273
 
2.7%
5 173
 
1.7%
6 130
 
1.3%
7 101
 
1.0%
8 97
 
1.0%
9 61
 
0.6%
ValueCountFrequency (%)
394 1
< 0.1%
384 1
< 0.1%
348 1
< 0.1%
345 1
< 0.1%
307 1
< 0.1%
268 1
< 0.1%
255 1
< 0.1%
249 1
< 0.1%
221 1
< 0.1%
209 1
< 0.1%

52세남자
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3304
Minimum0
Maximum402
Zeros4029
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:23.354916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum402
Range402
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.295341
Coefficient of variation (CV)3.4322642
Kurtosis117.68334
Mean5.3304
Median Absolute Deviation (MAD)1
Skewness8.7572826
Sum53304
Variance334.71951
MonotonicityNot monotonic
2024-04-06T17:52:23.815901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4029
40.3%
1 2324
23.2%
2 1130
 
11.3%
3 553
 
5.5%
4 304
 
3.0%
5 199
 
2.0%
7 128
 
1.3%
6 127
 
1.3%
8 87
 
0.9%
10 70
 
0.7%
Other values (138) 1049
 
10.5%
ValueCountFrequency (%)
0 4029
40.3%
1 2324
23.2%
2 1130
 
11.3%
3 553
 
5.5%
4 304
 
3.0%
5 199
 
2.0%
6 127
 
1.3%
7 128
 
1.3%
8 87
 
0.9%
9 68
 
0.7%
ValueCountFrequency (%)
402 1
< 0.1%
394 1
< 0.1%
373 1
< 0.1%
359 1
< 0.1%
290 1
< 0.1%
276 1
< 0.1%
263 1
< 0.1%
244 1
< 0.1%
234 1
< 0.1%
228 1
< 0.1%

53세남자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4222
Minimum0
Maximum393
Zeros3799
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:24.258151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile27
Maximum393
Range393
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.202562
Coefficient of variation (CV)3.3570437
Kurtosis106.29232
Mean5.4222
Median Absolute Deviation (MAD)1
Skewness8.3805234
Sum54222
Variance331.33328
MonotonicityNot monotonic
2024-04-06T17:52:24.701633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3799
38.0%
1 2408
24.1%
2 1137
 
11.4%
3 584
 
5.8%
4 345
 
3.5%
5 236
 
2.4%
6 144
 
1.4%
7 134
 
1.3%
8 98
 
1.0%
9 77
 
0.8%
Other values (139) 1038
 
10.4%
ValueCountFrequency (%)
0 3799
38.0%
1 2408
24.1%
2 1137
 
11.4%
3 584
 
5.8%
4 345
 
3.5%
5 236
 
2.4%
6 144
 
1.4%
7 134
 
1.3%
8 98
 
1.0%
9 77
 
0.8%
ValueCountFrequency (%)
393 1
< 0.1%
353 1
< 0.1%
352 1
< 0.1%
348 1
< 0.1%
302 2
< 0.1%
255 1
< 0.1%
249 1
< 0.1%
225 1
< 0.1%
216 1
< 0.1%
212 1
< 0.1%

54세남자
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3439
Minimum0
Maximum418
Zeros3585
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:25.185293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum418
Range418
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.910771
Coefficient of variation (CV)3.3516291
Kurtosis123.87768
Mean5.3439
Median Absolute Deviation (MAD)1
Skewness8.8879877
Sum53439
Variance320.79571
MonotonicityNot monotonic
2024-04-06T17:52:25.528990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3585
35.9%
1 2481
24.8%
2 1244
 
12.4%
3 649
 
6.5%
4 353
 
3.5%
5 211
 
2.1%
6 148
 
1.5%
7 114
 
1.1%
8 105
 
1.1%
10 74
 
0.7%
Other values (141) 1036
 
10.4%
ValueCountFrequency (%)
0 3585
35.9%
1 2481
24.8%
2 1244
 
12.4%
3 649
 
6.5%
4 353
 
3.5%
5 211
 
2.1%
6 148
 
1.5%
7 114
 
1.1%
8 105
 
1.1%
9 65
 
0.7%
ValueCountFrequency (%)
418 1
< 0.1%
387 1
< 0.1%
382 1
< 0.1%
347 1
< 0.1%
285 1
< 0.1%
281 1
< 0.1%
236 1
< 0.1%
231 1
< 0.1%
221 1
< 0.1%
213 1
< 0.1%

55세남자
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5165
Minimum0
Maximum397
Zeros3294
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:25.886319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum397
Range397
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.0522
Coefficient of variation (CV)3.2724009
Kurtosis115.35338
Mean5.5165
Median Absolute Deviation (MAD)1
Skewness8.7104589
Sum55165
Variance325.88192
MonotonicityNot monotonic
2024-04-06T17:52:26.338645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3294
32.9%
1 2525
25.2%
2 1260
 
12.6%
3 721
 
7.2%
4 384
 
3.8%
5 276
 
2.8%
6 145
 
1.5%
7 130
 
1.3%
8 112
 
1.1%
9 84
 
0.8%
Other values (141) 1069
 
10.7%
ValueCountFrequency (%)
0 3294
32.9%
1 2525
25.2%
2 1260
 
12.6%
3 721
 
7.2%
4 384
 
3.8%
5 276
 
2.8%
6 145
 
1.5%
7 130
 
1.3%
8 112
 
1.1%
9 84
 
0.8%
ValueCountFrequency (%)
397 1
< 0.1%
392 1
< 0.1%
350 1
< 0.1%
337 1
< 0.1%
291 1
< 0.1%
280 1
< 0.1%
263 1
< 0.1%
253 1
< 0.1%
240 1
< 0.1%
221 1
< 0.1%

56세남자
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0619
Minimum0
Maximum352
Zeros3386
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:26.696977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum352
Range352
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.157159
Coefficient of variation (CV)3.1919158
Kurtosis108.01605
Mean5.0619
Median Absolute Deviation (MAD)1
Skewness8.4767994
Sum50619
Variance261.05377
MonotonicityNot monotonic
2024-04-06T17:52:27.278043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3386
33.9%
1 2416
24.2%
2 1337
 
13.4%
3 700
 
7.0%
4 442
 
4.4%
5 237
 
2.4%
6 197
 
2.0%
7 116
 
1.2%
9 88
 
0.9%
8 82
 
0.8%
Other values (133) 999
 
10.0%
ValueCountFrequency (%)
0 3386
33.9%
1 2416
24.2%
2 1337
 
13.4%
3 700
 
7.0%
4 442
 
4.4%
5 237
 
2.4%
6 197
 
2.0%
7 116
 
1.2%
8 82
 
0.8%
9 88
 
0.9%
ValueCountFrequency (%)
352 1
< 0.1%
305 1
< 0.1%
302 1
< 0.1%
295 1
< 0.1%
285 1
< 0.1%
272 1
< 0.1%
244 1
< 0.1%
239 1
< 0.1%
203 1
< 0.1%
198 1
< 0.1%

57세남자
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.141
Minimum0
Maximum419
Zeros3133
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:27.641962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum419
Range419
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.377635
Coefficient of variation (CV)3.1856906
Kurtosis127.13489
Mean5.141
Median Absolute Deviation (MAD)1
Skewness9.0108914
Sum51410
Variance268.22694
MonotonicityNot monotonic
2024-04-06T17:52:27.952414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3133
31.3%
1 2529
25.3%
2 1392
13.9%
3 735
 
7.3%
4 441
 
4.4%
5 257
 
2.6%
6 153
 
1.5%
7 144
 
1.4%
8 107
 
1.1%
9 84
 
0.8%
Other values (132) 1025
 
10.2%
ValueCountFrequency (%)
0 3133
31.3%
1 2529
25.3%
2 1392
13.9%
3 735
 
7.3%
4 441
 
4.4%
5 257
 
2.6%
6 153
 
1.5%
7 144
 
1.4%
8 107
 
1.1%
9 84
 
0.8%
ValueCountFrequency (%)
419 1
< 0.1%
325 1
< 0.1%
323 1
< 0.1%
279 1
< 0.1%
276 1
< 0.1%
275 1
< 0.1%
227 1
< 0.1%
211 1
< 0.1%
208 1
< 0.1%
207 1
< 0.1%

58세남자
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2722
Minimum0
Maximum394
Zeros2978
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:28.375461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum394
Range394
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.556138
Coefficient of variation (CV)3.1402713
Kurtosis121.02136
Mean5.2722
Median Absolute Deviation (MAD)1
Skewness8.8960781
Sum52722
Variance274.10572
MonotonicityNot monotonic
2024-04-06T17:52:28.999076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2978
29.8%
1 2427
24.3%
2 1470
14.7%
3 823
 
8.2%
4 436
 
4.4%
5 289
 
2.9%
6 212
 
2.1%
7 146
 
1.5%
8 106
 
1.1%
9 94
 
0.9%
Other values (130) 1019
 
10.2%
ValueCountFrequency (%)
0 2978
29.8%
1 2427
24.3%
2 1470
14.7%
3 823
 
8.2%
4 436
 
4.4%
5 289
 
2.9%
6 212
 
2.1%
7 146
 
1.5%
8 106
 
1.1%
9 94
 
0.9%
ValueCountFrequency (%)
394 1
< 0.1%
345 1
< 0.1%
311 1
< 0.1%
292 1
< 0.1%
276 1
< 0.1%
263 1
< 0.1%
257 1
< 0.1%
244 1
< 0.1%
234 1
< 0.1%
211 1
< 0.1%

59세남자
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2974
Minimum0
Maximum418
Zeros2919
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:29.563684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum418
Range418
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.723861
Coefficient of variation (CV)3.1569942
Kurtosis136.65077
Mean5.2974
Median Absolute Deviation (MAD)1
Skewness9.3811365
Sum52974
Variance279.68752
MonotonicityNot monotonic
2024-04-06T17:52:30.022656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2919
29.2%
1 2394
23.9%
2 1525
15.2%
3 850
 
8.5%
4 461
 
4.6%
5 267
 
2.7%
6 189
 
1.9%
7 141
 
1.4%
8 121
 
1.2%
10 91
 
0.9%
Other values (129) 1042
 
10.4%
ValueCountFrequency (%)
0 2919
29.2%
1 2394
23.9%
2 1525
15.2%
3 850
 
8.5%
4 461
 
4.6%
5 267
 
2.7%
6 189
 
1.9%
7 141
 
1.4%
8 121
 
1.2%
9 88
 
0.9%
ValueCountFrequency (%)
418 1
< 0.1%
361 1
< 0.1%
324 1
< 0.1%
305 1
< 0.1%
303 1
< 0.1%
281 1
< 0.1%
257 1
< 0.1%
247 1
< 0.1%
229 1
< 0.1%
223 1
< 0.1%

60세남자
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9002
Minimum0
Maximum361
Zeros3086
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:30.401942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum361
Range361
Interquartile range (IQR)3

Descriptive statistics

Standard deviation15.489262
Coefficient of variation (CV)3.1609448
Kurtosis120.31048
Mean4.9002
Median Absolute Deviation (MAD)1
Skewness8.941288
Sum49002
Variance239.91723
MonotonicityNot monotonic
2024-04-06T17:52:31.342355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3086
30.9%
1 2466
24.7%
2 1483
14.8%
3 787
 
7.9%
4 415
 
4.2%
5 282
 
2.8%
6 187
 
1.9%
7 121
 
1.2%
8 113
 
1.1%
9 88
 
0.9%
Other values (126) 972
 
9.7%
ValueCountFrequency (%)
0 3086
30.9%
1 2466
24.7%
2 1483
14.8%
3 787
 
7.9%
4 415
 
4.2%
5 282
 
2.8%
6 187
 
1.9%
7 121
 
1.2%
8 113
 
1.1%
9 88
 
0.9%
ValueCountFrequency (%)
361 1
< 0.1%
315 1
< 0.1%
290 1
< 0.1%
286 1
< 0.1%
268 1
< 0.1%
257 1
< 0.1%
225 1
< 0.1%
223 1
< 0.1%
209 1
< 0.1%
197 2
< 0.1%

61세남자
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4918
Minimum0
Maximum360
Zeros2606
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:31.731462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum360
Range360
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.016265
Coefficient of variation (CV)3.098486
Kurtosis119.47921
Mean5.4918
Median Absolute Deviation (MAD)1
Skewness8.9856333
Sum54918
Variance289.55329
MonotonicityNot monotonic
2024-04-06T17:52:32.243410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2606
26.1%
1 2414
24.1%
2 1559
15.6%
3 922
 
9.2%
4 541
 
5.4%
5 312
 
3.1%
6 229
 
2.3%
7 163
 
1.6%
8 132
 
1.3%
9 86
 
0.9%
Other values (134) 1036
 
10.4%
ValueCountFrequency (%)
0 2606
26.1%
1 2414
24.1%
2 1559
15.6%
3 922
 
9.2%
4 541
 
5.4%
5 312
 
3.1%
6 229
 
2.3%
7 163
 
1.6%
8 132
 
1.3%
9 86
 
0.9%
ValueCountFrequency (%)
360 1
< 0.1%
345 1
< 0.1%
325 1
< 0.1%
321 1
< 0.1%
317 1
< 0.1%
294 1
< 0.1%
254 1
< 0.1%
253 1
< 0.1%
234 1
< 0.1%
233 1
< 0.1%

62세남자
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4481
Minimum0
Maximum375
Zeros2504
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:32.615335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile23
Maximum375
Range375
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.623566
Coefficient of variation (CV)3.0512593
Kurtosis115.66684
Mean5.4481
Median Absolute Deviation (MAD)2
Skewness8.812218
Sum54481
Variance276.34294
MonotonicityNot monotonic
2024-04-06T17:52:32.900971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2504
25.0%
1 2469
24.7%
2 1585
15.8%
3 895
 
8.9%
4 580
 
5.8%
5 308
 
3.1%
6 210
 
2.1%
7 178
 
1.8%
8 149
 
1.5%
9 100
 
1.0%
Other values (137) 1022
10.2%
ValueCountFrequency (%)
0 2504
25.0%
1 2469
24.7%
2 1585
15.8%
3 895
 
8.9%
4 580
 
5.8%
5 308
 
3.1%
6 210
 
2.1%
7 178
 
1.8%
8 149
 
1.5%
9 100
 
1.0%
ValueCountFrequency (%)
375 1
< 0.1%
338 1
< 0.1%
309 1
< 0.1%
304 1
< 0.1%
290 1
< 0.1%
256 1
< 0.1%
243 1
< 0.1%
242 1
< 0.1%
240 1
< 0.1%
216 1
< 0.1%

63세남자
Real number (ℝ)

ZEROS 

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8752
Minimum0
Maximum396
Zeros2291
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:33.254555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile24
Maximum396
Range396
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.83514
Coefficient of variation (CV)3.0356652
Kurtosis124.67629
Mean5.8752
Median Absolute Deviation (MAD)2
Skewness9.1056794
Sum58752
Variance318.09223
MonotonicityNot monotonic
2024-04-06T17:52:33.614410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2291
22.9%
1 2251
22.5%
2 1657
16.6%
3 1063
10.6%
4 607
 
6.1%
5 381
 
3.8%
6 240
 
2.4%
7 158
 
1.6%
8 133
 
1.3%
10 92
 
0.9%
Other values (143) 1127
11.3%
ValueCountFrequency (%)
0 2291
22.9%
1 2251
22.5%
2 1657
16.6%
3 1063
10.6%
4 607
 
6.1%
5 381
 
3.8%
6 240
 
2.4%
7 158
 
1.6%
8 133
 
1.3%
9 89
 
0.9%
ValueCountFrequency (%)
396 1
< 0.1%
380 1
< 0.1%
335 1
< 0.1%
333 1
< 0.1%
329 1
< 0.1%
317 1
< 0.1%
277 1
< 0.1%
272 1
< 0.1%
262 1
< 0.1%
228 1
< 0.1%

64세남자
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3689
Minimum0
Maximum369
Zeros2472
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:34.114933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile22
Maximum369
Range369
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.427654
Coefficient of variation (CV)3.0597801
Kurtosis124.23274
Mean5.3689
Median Absolute Deviation (MAD)1
Skewness9.0855456
Sum53689
Variance269.8678
MonotonicityNot monotonic
2024-04-06T17:52:34.452614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2472
24.7%
1 2407
24.1%
2 1675
16.8%
3 961
 
9.6%
4 542
 
5.4%
5 303
 
3.0%
6 225
 
2.2%
7 167
 
1.7%
8 127
 
1.3%
9 100
 
1.0%
Other values (129) 1021
10.2%
ValueCountFrequency (%)
0 2472
24.7%
1 2407
24.1%
2 1675
16.8%
3 961
 
9.6%
4 542
 
5.4%
5 303
 
3.0%
6 225
 
2.2%
7 167
 
1.7%
8 127
 
1.3%
9 100
 
1.0%
ValueCountFrequency (%)
369 1
< 0.1%
346 1
< 0.1%
338 1
< 0.1%
299 1
< 0.1%
297 1
< 0.1%
253 2
< 0.1%
241 1
< 0.1%
233 1
< 0.1%
221 1
< 0.1%
200 1
< 0.1%

65세남자
Real number (ℝ)

ZEROS 

Distinct129
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8463
Minimum0
Maximum343
Zeros2745
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:34.776849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20
Maximum343
Range343
Interquartile range (IQR)3

Descriptive statistics

Standard deviation15.051091
Coefficient of variation (CV)3.1056869
Kurtosis131.74369
Mean4.8463
Median Absolute Deviation (MAD)1
Skewness9.3187674
Sum48463
Variance226.53533
MonotonicityNot monotonic
2024-04-06T17:52:35.140615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2745
27.5%
1 2532
25.3%
2 1551
15.5%
3 870
 
8.7%
4 518
 
5.2%
5 312
 
3.1%
6 198
 
2.0%
7 150
 
1.5%
8 115
 
1.1%
9 78
 
0.8%
Other values (119) 931
 
9.3%
ValueCountFrequency (%)
0 2745
27.5%
1 2532
25.3%
2 1551
15.5%
3 870
 
8.7%
4 518
 
5.2%
5 312
 
3.1%
6 198
 
2.0%
7 150
 
1.5%
8 115
 
1.1%
9 78
 
0.8%
ValueCountFrequency (%)
343 1
< 0.1%
321 1
< 0.1%
303 2
< 0.1%
279 1
< 0.1%
251 1
< 0.1%
240 1
< 0.1%
232 1
< 0.1%
200 1
< 0.1%
177 1
< 0.1%
173 1
< 0.1%

66세남자
Real number (ℝ)

ZEROS 

Distinct129
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6644
Minimum0
Maximum326
Zeros2852
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:35.465144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum326
Range326
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.544364
Coefficient of variation (CV)3.118164
Kurtosis133.3086
Mean4.6644
Median Absolute Deviation (MAD)1
Skewness9.3733388
Sum46644
Variance211.53853
MonotonicityNot monotonic
2024-04-06T17:52:35.781074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2852
28.5%
1 2510
25.1%
2 1568
15.7%
3 848
 
8.5%
4 474
 
4.7%
5 313
 
3.1%
6 196
 
2.0%
7 147
 
1.5%
8 121
 
1.2%
9 84
 
0.8%
Other values (119) 887
 
8.9%
ValueCountFrequency (%)
0 2852
28.5%
1 2510
25.1%
2 1568
15.7%
3 848
 
8.5%
4 474
 
4.7%
5 313
 
3.1%
6 196
 
2.0%
7 147
 
1.5%
8 121
 
1.2%
9 84
 
0.8%
ValueCountFrequency (%)
326 1
< 0.1%
321 1
< 0.1%
292 1
< 0.1%
289 1
< 0.1%
283 1
< 0.1%
226 1
< 0.1%
225 1
< 0.1%
215 1
< 0.1%
209 1
< 0.1%
198 1
< 0.1%

67세남자
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2328
Minimum0
Maximum286
Zeros3084
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:36.133203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile17
Maximum286
Range286
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.07963
Coefficient of variation (CV)3.0900656
Kurtosis116.19412
Mean4.2328
Median Absolute Deviation (MAD)1
Skewness8.8601879
Sum42328
Variance171.07671
MonotonicityNot monotonic
2024-04-06T17:52:36.539573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3084
30.8%
1 2488
24.9%
2 1512
15.1%
3 854
 
8.5%
4 477
 
4.8%
5 294
 
2.9%
6 183
 
1.8%
7 115
 
1.1%
8 96
 
1.0%
9 79
 
0.8%
Other values (115) 818
 
8.2%
ValueCountFrequency (%)
0 3084
30.8%
1 2488
24.9%
2 1512
15.1%
3 854
 
8.5%
4 477
 
4.8%
5 294
 
2.9%
6 183
 
1.8%
7 115
 
1.1%
8 96
 
1.0%
9 79
 
0.8%
ValueCountFrequency (%)
286 1
< 0.1%
270 1
< 0.1%
265 1
< 0.1%
246 1
< 0.1%
229 1
< 0.1%
183 1
< 0.1%
180 2
< 0.1%
177 1
< 0.1%
167 1
< 0.1%
158 1
< 0.1%

68세남자
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9519
Minimum0
Maximum264
Zeros3184
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:36.858957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16
Maximum264
Range264
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.285442
Coefficient of variation (CV)3.1087431
Kurtosis129.7147
Mean3.9519
Median Absolute Deviation (MAD)1
Skewness9.3326324
Sum39519
Variance150.93208
MonotonicityNot monotonic
2024-04-06T17:52:37.225152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3184
31.8%
1 2644
26.4%
2 1438
14.4%
3 781
 
7.8%
4 446
 
4.5%
5 243
 
2.4%
6 160
 
1.6%
7 145
 
1.5%
8 96
 
1.0%
9 87
 
0.9%
Other values (106) 776
 
7.8%
ValueCountFrequency (%)
0 3184
31.8%
1 2644
26.4%
2 1438
14.4%
3 781
 
7.8%
4 446
 
4.5%
5 243
 
2.4%
6 160
 
1.6%
7 145
 
1.5%
8 96
 
1.0%
9 87
 
0.9%
ValueCountFrequency (%)
264 1
< 0.1%
256 1
< 0.1%
254 1
< 0.1%
251 1
< 0.1%
229 1
< 0.1%
189 1
< 0.1%
185 1
< 0.1%
183 1
< 0.1%
179 1
< 0.1%
178 1
< 0.1%

69세남자
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8484
Minimum0
Maximum254
Zeros3288
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:37.563484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16
Maximum254
Range254
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.909946
Coefficient of variation (CV)3.0947785
Kurtosis121.38823
Mean3.8484
Median Absolute Deviation (MAD)1
Skewness9.0632047
Sum38484
Variance141.8468
MonotonicityNot monotonic
2024-04-06T17:52:37.899292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3288
32.9%
1 2591
25.9%
2 1470
14.7%
3 785
 
7.8%
4 396
 
4.0%
5 239
 
2.4%
6 161
 
1.6%
7 131
 
1.3%
8 99
 
1.0%
9 67
 
0.7%
Other values (104) 773
 
7.7%
ValueCountFrequency (%)
0 3288
32.9%
1 2591
25.9%
2 1470
14.7%
3 785
 
7.8%
4 396
 
4.0%
5 239
 
2.4%
6 161
 
1.6%
7 131
 
1.3%
8 99
 
1.0%
9 67
 
0.7%
ValueCountFrequency (%)
254 1
< 0.1%
248 1
< 0.1%
232 1
< 0.1%
227 1
< 0.1%
226 1
< 0.1%
182 1
< 0.1%
178 1
< 0.1%
176 1
< 0.1%
169 1
< 0.1%
166 1
< 0.1%

70세남자
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8908
Minimum0
Maximum205
Zeros4142
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:38.226617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile12
Maximum205
Range205
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.2765123
Coefficient of variation (CV)3.2089776
Kurtosis129.25817
Mean2.8908
Median Absolute Deviation (MAD)1
Skewness9.3688246
Sum28908
Variance86.053681
MonotonicityNot monotonic
2024-04-06T17:52:38.548461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4142
41.4%
1 2583
25.8%
2 1239
 
12.4%
3 562
 
5.6%
4 343
 
3.4%
5 170
 
1.7%
6 127
 
1.3%
7 97
 
1.0%
8 71
 
0.7%
9 63
 
0.6%
Other values (88) 603
 
6.0%
ValueCountFrequency (%)
0 4142
41.4%
1 2583
25.8%
2 1239
 
12.4%
3 562
 
5.6%
4 343
 
3.4%
5 170
 
1.7%
6 127
 
1.3%
7 97
 
1.0%
8 71
 
0.7%
9 63
 
0.6%
ValueCountFrequency (%)
205 1
< 0.1%
202 1
< 0.1%
182 1
< 0.1%
175 1
< 0.1%
165 1
< 0.1%
154 1
< 0.1%
141 1
< 0.1%
137 1
< 0.1%
131 1
< 0.1%
128 1
< 0.1%

71세남자
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9581
Minimum0
Maximum208
Zeros3995
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:38.947501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile12
Maximum208
Range208
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.2183102
Coefficient of variation (CV)3.1162943
Kurtosis119.90549
Mean2.9581
Median Absolute Deviation (MAD)1
Skewness8.9532009
Sum29581
Variance84.977242
MonotonicityNot monotonic
2024-04-06T17:52:39.228514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3995
40.0%
1 2683
26.8%
2 1242
 
12.4%
3 566
 
5.7%
4 308
 
3.1%
5 204
 
2.0%
6 138
 
1.4%
7 101
 
1.0%
8 76
 
0.8%
10 64
 
0.6%
Other values (82) 623
 
6.2%
ValueCountFrequency (%)
0 3995
40.0%
1 2683
26.8%
2 1242
 
12.4%
3 566
 
5.7%
4 308
 
3.1%
5 204
 
2.0%
6 138
 
1.4%
7 101
 
1.0%
8 76
 
0.8%
9 63
 
0.6%
ValueCountFrequency (%)
208 1
< 0.1%
192 1
< 0.1%
184 1
< 0.1%
171 1
< 0.1%
170 1
< 0.1%
134 1
< 0.1%
126 1
< 0.1%
123 1
< 0.1%
122 1
< 0.1%
115 1
< 0.1%

72세남자
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3421
Minimum0
Maximum163
Zeros4433
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:39.539934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum163
Range163
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.297273
Coefficient of variation (CV)3.1156966
Kurtosis125.39659
Mean2.3421
Median Absolute Deviation (MAD)1
Skewness9.1518821
Sum23421
Variance53.250193
MonotonicityNot monotonic
2024-04-06T17:52:39.876158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4433
44.3%
1 2722
27.2%
2 1114
 
11.1%
3 521
 
5.2%
4 246
 
2.5%
5 153
 
1.5%
6 107
 
1.1%
7 74
 
0.7%
9 66
 
0.7%
8 60
 
0.6%
Other values (71) 504
 
5.0%
ValueCountFrequency (%)
0 4433
44.3%
1 2722
27.2%
2 1114
 
11.1%
3 521
 
5.2%
4 246
 
2.5%
5 153
 
1.5%
6 107
 
1.1%
7 74
 
0.7%
8 60
 
0.6%
9 66
 
0.7%
ValueCountFrequency (%)
163 1
< 0.1%
152 1
< 0.1%
151 1
< 0.1%
141 1
< 0.1%
124 1
< 0.1%
122 1
< 0.1%
117 1
< 0.1%
104 1
< 0.1%
100 1
< 0.1%
92 1
< 0.1%

73세남자
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0862
Minimum0
Maximum167
Zeros4772
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:40.280576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum167
Range167
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.6416851
Coefficient of variation (CV)3.1836282
Kurtosis134.07196
Mean2.0862
Median Absolute Deviation (MAD)1
Skewness9.3825244
Sum20862
Variance44.111981
MonotonicityNot monotonic
2024-04-06T17:52:40.676983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4772
47.7%
1 2696
27.0%
2 1019
 
10.2%
3 412
 
4.1%
4 225
 
2.2%
5 146
 
1.5%
6 103
 
1.0%
8 69
 
0.7%
7 67
 
0.7%
9 51
 
0.5%
Other values (67) 440
 
4.4%
ValueCountFrequency (%)
0 4772
47.7%
1 2696
27.0%
2 1019
 
10.2%
3 412
 
4.1%
4 225
 
2.2%
5 146
 
1.5%
6 103
 
1.0%
7 67
 
0.7%
8 69
 
0.7%
9 51
 
0.5%
ValueCountFrequency (%)
167 1
< 0.1%
131 1
< 0.1%
130 1
< 0.1%
124 1
< 0.1%
122 1
< 0.1%
116 1
< 0.1%
93 1
< 0.1%
91 1
< 0.1%
88 1
< 0.1%
83 1
< 0.1%

74세남자
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1145
Minimum0
Maximum137
Zeros4762
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:41.373516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum137
Range137
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.68189
Coefficient of variation (CV)3.1600331
Kurtosis122.82926
Mean2.1145
Median Absolute Deviation (MAD)1
Skewness9.118464
Sum21145
Variance44.647655
MonotonicityNot monotonic
2024-04-06T17:52:42.404643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4762
47.6%
1 2643
26.4%
2 1036
 
10.4%
3 463
 
4.6%
4 230
 
2.3%
5 134
 
1.3%
6 85
 
0.9%
7 64
 
0.6%
8 62
 
0.6%
9 50
 
0.5%
Other values (66) 471
 
4.7%
ValueCountFrequency (%)
0 4762
47.6%
1 2643
26.4%
2 1036
 
10.4%
3 463
 
4.6%
4 230
 
2.3%
5 134
 
1.3%
6 85
 
0.9%
7 64
 
0.6%
8 62
 
0.6%
9 50
 
0.5%
ValueCountFrequency (%)
137 1
< 0.1%
136 2
< 0.1%
130 1
< 0.1%
127 1
< 0.1%
106 1
< 0.1%
105 2
< 0.1%
92 1
< 0.1%
90 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%

75세남자
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9774
Minimum0
Maximum145
Zeros4999
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:42.772689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile8
Maximum145
Range145
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.3450071
Coefficient of variation (CV)3.2087626
Kurtosis127.47271
Mean1.9774
Median Absolute Deviation (MAD)1
Skewness9.208255
Sum19774
Variance40.259115
MonotonicityNot monotonic
2024-04-06T17:52:43.080671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4999
50.0%
1 2561
25.6%
2 1014
 
10.1%
3 386
 
3.9%
4 204
 
2.0%
5 133
 
1.3%
6 105
 
1.1%
8 69
 
0.7%
7 59
 
0.6%
9 44
 
0.4%
Other values (59) 426
 
4.3%
ValueCountFrequency (%)
0 4999
50.0%
1 2561
25.6%
2 1014
 
10.1%
3 386
 
3.9%
4 204
 
2.0%
5 133
 
1.3%
6 105
 
1.1%
7 59
 
0.6%
8 69
 
0.7%
9 44
 
0.4%
ValueCountFrequency (%)
145 1
 
< 0.1%
134 1
 
< 0.1%
127 1
 
< 0.1%
117 1
 
< 0.1%
113 1
 
< 0.1%
110 1
 
< 0.1%
107 1
 
< 0.1%
88 2
< 0.1%
74 3
< 0.1%
70 2
< 0.1%

76세남자
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8675
Minimum0
Maximum144
Zeros5138
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:43.369835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum144
Range144
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.9414707
Coefficient of variation (CV)3.1815104
Kurtosis138.38741
Mean1.8675
Median Absolute Deviation (MAD)0
Skewness9.4965514
Sum18675
Variance35.301074
MonotonicityNot monotonic
2024-04-06T17:52:43.751087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5138
51.4%
1 2466
24.7%
2 965
 
9.7%
3 423
 
4.2%
4 198
 
2.0%
5 130
 
1.3%
6 85
 
0.9%
7 79
 
0.8%
8 69
 
0.7%
9 43
 
0.4%
Other values (59) 404
 
4.0%
ValueCountFrequency (%)
0 5138
51.4%
1 2466
24.7%
2 965
 
9.7%
3 423
 
4.2%
4 198
 
2.0%
5 130
 
1.3%
6 85
 
0.9%
7 79
 
0.8%
8 69
 
0.7%
9 43
 
0.4%
ValueCountFrequency (%)
144 1
< 0.1%
142 1
< 0.1%
112 1
< 0.1%
103 1
< 0.1%
99 1
< 0.1%
96 1
< 0.1%
91 1
< 0.1%
88 1
< 0.1%
83 1
< 0.1%
79 2
< 0.1%

77세남자
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6519
Minimum0
Maximum128
Zeros5564
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:44.155846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum128
Range128
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.4929176
Coefficient of variation (CV)3.3252119
Kurtosis127.34716
Mean1.6519
Median Absolute Deviation (MAD)0
Skewness9.2763999
Sum16519
Variance30.172144
MonotonicityNot monotonic
2024-04-06T17:52:44.450551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5564
55.6%
1 2357
23.6%
2 853
 
8.5%
3 362
 
3.6%
4 173
 
1.7%
5 99
 
1.0%
6 74
 
0.7%
7 60
 
0.6%
8 48
 
0.5%
9 38
 
0.4%
Other values (58) 372
 
3.7%
ValueCountFrequency (%)
0 5564
55.6%
1 2357
23.6%
2 853
 
8.5%
3 362
 
3.6%
4 173
 
1.7%
5 99
 
1.0%
6 74
 
0.7%
7 60
 
0.6%
8 48
 
0.5%
9 38
 
0.4%
ValueCountFrequency (%)
128 1
< 0.1%
111 2
< 0.1%
106 1
< 0.1%
91 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%
82 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%
68 1
< 0.1%

78세남자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1589
Minimum0
Maximum89
Zeros6393
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:44.766755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum89
Range89
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.947608
Coefficient of variation (CV)3.4063405
Kurtosis136.33623
Mean1.1589
Median Absolute Deviation (MAD)0
Skewness9.5324852
Sum11589
Variance15.583609
MonotonicityNot monotonic
2024-04-06T17:52:45.067980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6393
63.9%
1 2080
 
20.8%
2 585
 
5.9%
3 267
 
2.7%
4 141
 
1.4%
5 81
 
0.8%
6 70
 
0.7%
7 59
 
0.6%
8 40
 
0.4%
9 30
 
0.3%
Other values (43) 254
 
2.5%
ValueCountFrequency (%)
0 6393
63.9%
1 2080
 
20.8%
2 585
 
5.9%
3 267
 
2.7%
4 141
 
1.4%
5 81
 
0.8%
6 70
 
0.7%
7 59
 
0.6%
8 40
 
0.4%
9 30
 
0.3%
ValueCountFrequency (%)
89 1
< 0.1%
88 1
< 0.1%
82 1
< 0.1%
74 1
< 0.1%
72 1
< 0.1%
65 2
< 0.1%
64 1
< 0.1%
50 1
< 0.1%
47 2
< 0.1%
45 2
< 0.1%

79세남자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2175
Minimum0
Maximum93
Zeros6227
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:45.341812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.9754716
Coefficient of variation (CV)3.2652744
Kurtosis123.78173
Mean1.2175
Median Absolute Deviation (MAD)0
Skewness9.018426
Sum12175
Variance15.804374
MonotonicityNot monotonic
2024-04-06T17:52:45.607209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6227
62.3%
1 2137
 
21.4%
2 666
 
6.7%
3 258
 
2.6%
4 139
 
1.4%
5 93
 
0.9%
6 70
 
0.7%
8 49
 
0.5%
7 49
 
0.5%
9 38
 
0.4%
Other values (43) 274
 
2.7%
ValueCountFrequency (%)
0 6227
62.3%
1 2137
 
21.4%
2 666
 
6.7%
3 258
 
2.6%
4 139
 
1.4%
5 93
 
0.9%
6 70
 
0.7%
7 49
 
0.5%
8 49
 
0.5%
9 38
 
0.4%
ValueCountFrequency (%)
93 1
< 0.1%
89 1
< 0.1%
73 1
< 0.1%
69 1
< 0.1%
65 1
< 0.1%
64 1
< 0.1%
62 1
< 0.1%
60 1
< 0.1%
55 1
< 0.1%
50 1
< 0.1%

80세남자
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0708
Minimum0
Maximum90
Zeros6552
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:45.915911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum90
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.6170286
Coefficient of variation (CV)3.377875
Kurtosis146.34437
Mean1.0708
Median Absolute Deviation (MAD)0
Skewness9.6503562
Sum10708
Variance13.082896
MonotonicityNot monotonic
2024-04-06T17:52:46.218963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6552
65.5%
1 1998
 
20.0%
2 551
 
5.5%
3 252
 
2.5%
4 136
 
1.4%
5 87
 
0.9%
6 69
 
0.7%
7 49
 
0.5%
8 46
 
0.5%
9 37
 
0.4%
Other values (40) 223
 
2.2%
ValueCountFrequency (%)
0 6552
65.5%
1 1998
 
20.0%
2 551
 
5.5%
3 252
 
2.5%
4 136
 
1.4%
5 87
 
0.9%
6 69
 
0.7%
7 49
 
0.5%
8 46
 
0.5%
9 37
 
0.4%
ValueCountFrequency (%)
90 1
< 0.1%
83 1
< 0.1%
79 1
< 0.1%
71 1
< 0.1%
68 1
< 0.1%
54 1
< 0.1%
50 1
< 0.1%
44 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%

81세남자
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3169
Minimum0
Maximum98
Zeros5972
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:46.525236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum98
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.2795451
Coefficient of variation (CV)3.2497115
Kurtosis130.51328
Mean1.3169
Median Absolute Deviation (MAD)0
Skewness9.2849832
Sum13169
Variance18.314506
MonotonicityNot monotonic
2024-04-06T17:52:46.857852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5972
59.7%
1 2250
 
22.5%
2 735
 
7.3%
3 300
 
3.0%
4 152
 
1.5%
5 110
 
1.1%
6 61
 
0.6%
8 49
 
0.5%
7 44
 
0.4%
9 33
 
0.3%
Other values (46) 294
 
2.9%
ValueCountFrequency (%)
0 5972
59.7%
1 2250
 
22.5%
2 735
 
7.3%
3 300
 
3.0%
4 152
 
1.5%
5 110
 
1.1%
6 61
 
0.6%
7 44
 
0.4%
8 49
 
0.5%
9 33
 
0.3%
ValueCountFrequency (%)
98 1
< 0.1%
95 1
< 0.1%
85 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%
70 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%
59 1
< 0.1%
55 1
< 0.1%

82세남자
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1177
Minimum0
Maximum81
Zeros6282
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:47.150246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum81
Range81
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5974631
Coefficient of variation (CV)3.2186303
Kurtosis115.1823
Mean1.1177
Median Absolute Deviation (MAD)0
Skewness8.7558793
Sum11177
Variance12.941741
MonotonicityNot monotonic
2024-04-06T17:52:47.544687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6282
62.8%
1 2198
 
22.0%
2 617
 
6.2%
3 252
 
2.5%
4 142
 
1.4%
5 77
 
0.8%
6 66
 
0.7%
7 60
 
0.6%
8 28
 
0.3%
11 28
 
0.3%
Other values (41) 250
 
2.5%
ValueCountFrequency (%)
0 6282
62.8%
1 2198
 
22.0%
2 617
 
6.2%
3 252
 
2.5%
4 142
 
1.4%
5 77
 
0.8%
6 66
 
0.7%
7 60
 
0.6%
8 28
 
0.3%
9 27
 
0.3%
ValueCountFrequency (%)
81 1
< 0.1%
75 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%
62 1
< 0.1%
52 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
44 2
< 0.1%

83세남자
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8703
Minimum0
Maximum70
Zeros6796
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:47.909209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum70
Range70
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8067892
Coefficient of variation (CV)3.2250824
Kurtosis109.29925
Mean0.8703
Median Absolute Deviation (MAD)0
Skewness8.4553376
Sum8703
Variance7.8780657
MonotonicityNot monotonic
2024-04-06T17:52:48.296667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 6796
68.0%
1 1934
 
19.3%
2 557
 
5.6%
3 184
 
1.8%
4 120
 
1.2%
5 72
 
0.7%
6 55
 
0.5%
7 40
 
0.4%
8 30
 
0.3%
9 29
 
0.3%
Other values (31) 183
 
1.8%
ValueCountFrequency (%)
0 6796
68.0%
1 1934
 
19.3%
2 557
 
5.6%
3 184
 
1.8%
4 120
 
1.2%
5 72
 
0.7%
6 55
 
0.5%
7 40
 
0.4%
8 30
 
0.3%
9 29
 
0.3%
ValueCountFrequency (%)
70 1
< 0.1%
49 1
< 0.1%
47 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
42 2
< 0.1%
40 2
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%

84세남자
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8351
Minimum0
Maximum64
Zeros6820
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:48.591840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.05
Maximum64
Range64
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6450345
Coefficient of variation (CV)3.1673267
Kurtosis101.78869
Mean0.8351
Median Absolute Deviation (MAD)0
Skewness8.128153
Sum8351
Variance6.9962076
MonotonicityNot monotonic
2024-04-06T17:52:48.931753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 6820
68.2%
1 1969
 
19.7%
2 512
 
5.1%
3 199
 
2.0%
4 112
 
1.1%
5 69
 
0.7%
6 49
 
0.5%
7 38
 
0.4%
10 34
 
0.3%
9 27
 
0.3%
Other values (28) 171
 
1.7%
ValueCountFrequency (%)
0 6820
68.2%
1 1969
 
19.7%
2 512
 
5.1%
3 199
 
2.0%
4 112
 
1.1%
5 69
 
0.7%
6 49
 
0.5%
7 38
 
0.4%
8 23
 
0.2%
9 27
 
0.3%
ValueCountFrequency (%)
64 1
< 0.1%
49 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%
37 1
< 0.1%
34 1
< 0.1%
30 1
< 0.1%

85세남자
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7373
Minimum0
Maximum43
Zeros7008
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:49.247011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum43
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2821502
Coefficient of variation (CV)3.0952803
Kurtosis79.299792
Mean0.7373
Median Absolute Deviation (MAD)0
Skewness7.4442179
Sum7373
Variance5.2082095
MonotonicityNot monotonic
2024-04-06T17:52:49.521340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 7008
70.1%
1 1903
 
19.0%
2 450
 
4.5%
3 168
 
1.7%
4 101
 
1.0%
5 85
 
0.9%
6 57
 
0.6%
7 42
 
0.4%
8 26
 
0.3%
11 24
 
0.2%
Other values (24) 136
 
1.4%
ValueCountFrequency (%)
0 7008
70.1%
1 1903
 
19.0%
2 450
 
4.5%
3 168
 
1.7%
4 101
 
1.0%
5 85
 
0.9%
6 57
 
0.6%
7 42
 
0.4%
8 26
 
0.3%
9 23
 
0.2%
ValueCountFrequency (%)
43 1
 
< 0.1%
39 1
 
< 0.1%
37 2
< 0.1%
36 1
 
< 0.1%
33 1
 
< 0.1%
31 2
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 3
< 0.1%
26 1
 
< 0.1%

86세남자
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6336
Minimum0
Maximum44
Zeros7278
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:49.789729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.993326
Coefficient of variation (CV)3.1460321
Kurtosis97.668513
Mean0.6336
Median Absolute Deviation (MAD)0
Skewness7.9810599
Sum6336
Variance3.9733484
MonotonicityNot monotonic
2024-04-06T17:52:50.027607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 7278
72.8%
1 1736
 
17.4%
2 415
 
4.2%
3 175
 
1.8%
4 91
 
0.9%
5 68
 
0.7%
6 48
 
0.5%
8 37
 
0.4%
7 31
 
0.3%
10 19
 
0.2%
Other values (20) 102
 
1.0%
ValueCountFrequency (%)
0 7278
72.8%
1 1736
 
17.4%
2 415
 
4.2%
3 175
 
1.8%
4 91
 
0.9%
5 68
 
0.7%
6 48
 
0.5%
7 31
 
0.3%
8 37
 
0.4%
9 17
 
0.2%
ValueCountFrequency (%)
44 1
 
< 0.1%
37 2
< 0.1%
34 2
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
25 3
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
21 2
< 0.1%
20 2
< 0.1%

87세남자
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5516
Minimum0
Maximum36
Zeros7434
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:50.400668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum36
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6817313
Coefficient of variation (CV)3.048824
Kurtosis87.848089
Mean0.5516
Median Absolute Deviation (MAD)0
Skewness7.4258234
Sum5516
Variance2.8282203
MonotonicityNot monotonic
2024-04-06T17:52:50.671044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7434
74.3%
1 1694
 
16.9%
2 374
 
3.7%
3 157
 
1.6%
4 82
 
0.8%
5 56
 
0.6%
6 37
 
0.4%
7 33
 
0.3%
8 29
 
0.3%
9 27
 
0.3%
Other values (17) 77
 
0.8%
ValueCountFrequency (%)
0 7434
74.3%
1 1694
 
16.9%
2 374
 
3.7%
3 157
 
1.6%
4 82
 
0.8%
5 56
 
0.6%
6 37
 
0.4%
7 33
 
0.3%
8 29
 
0.3%
9 27
 
0.3%
ValueCountFrequency (%)
36 1
 
< 0.1%
35 1
 
< 0.1%
30 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
18 2
< 0.1%
17 4
< 0.1%

88세남자
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4724
Minimum0
Maximum29
Zeros7658
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:50.938702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4866941
Coefficient of variation (CV)3.1471085
Kurtosis89.40582
Mean0.4724
Median Absolute Deviation (MAD)0
Skewness7.7009319
Sum4724
Variance2.2102593
MonotonicityNot monotonic
2024-04-06T17:52:51.194934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7658
76.6%
1 1574
 
15.7%
2 355
 
3.5%
3 137
 
1.4%
4 70
 
0.7%
5 51
 
0.5%
6 38
 
0.4%
7 31
 
0.3%
8 17
 
0.2%
10 16
 
0.2%
Other values (17) 53
 
0.5%
ValueCountFrequency (%)
0 7658
76.6%
1 1574
 
15.7%
2 355
 
3.5%
3 137
 
1.4%
4 70
 
0.7%
5 51
 
0.5%
6 38
 
0.4%
7 31
 
0.3%
8 17
 
0.2%
9 11
 
0.1%
ValueCountFrequency (%)
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
19 2
< 0.1%
18 2
< 0.1%
17 1
< 0.1%

89세남자
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3833
Minimum0
Maximum26
Zeros8026
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:51.466928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2490545
Coefficient of variation (CV)3.2586864
Kurtosis80.630928
Mean0.3833
Median Absolute Deviation (MAD)0
Skewness7.3253313
Sum3833
Variance1.5601371
MonotonicityNot monotonic
2024-04-06T17:52:51.712426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8026
80.3%
1 1328
 
13.3%
2 310
 
3.1%
3 97
 
1.0%
4 71
 
0.7%
5 52
 
0.5%
6 35
 
0.4%
7 20
 
0.2%
8 13
 
0.1%
9 13
 
0.1%
Other values (12) 35
 
0.4%
ValueCountFrequency (%)
0 8026
80.3%
1 1328
 
13.3%
2 310
 
3.1%
3 97
 
1.0%
4 71
 
0.7%
5 52
 
0.5%
6 35
 
0.4%
7 20
 
0.2%
8 13
 
0.1%
9 13
 
0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
18 3
< 0.1%
17 2
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 6
0.1%
13 3
< 0.1%
12 2
 
< 0.1%

90세남자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2879
Minimum0
Maximum21
Zeros8326
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:51.972313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.94302838
Coefficient of variation (CV)3.2755414
Kurtosis74.49477
Mean0.2879
Median Absolute Deviation (MAD)0
Skewness6.8696563
Sum2879
Variance0.88930252
MonotonicityNot monotonic
2024-04-06T17:52:52.316924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8326
83.3%
1 1194
 
11.9%
2 235
 
2.4%
3 93
 
0.9%
5 40
 
0.4%
4 37
 
0.4%
6 35
 
0.4%
8 11
 
0.1%
9 9
 
0.1%
7 8
 
0.1%
Other values (8) 12
 
0.1%
ValueCountFrequency (%)
0 8326
83.3%
1 1194
 
11.9%
2 235
 
2.4%
3 93
 
0.9%
4 37
 
0.4%
5 40
 
0.4%
6 35
 
0.4%
7 8
 
0.1%
8 11
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 2
 
< 0.1%
10 4
 
< 0.1%
9 9
0.1%
8 11
0.1%

91세남자
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2245
Minimum0
Maximum13
Zeros8604
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:53.219630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.76286168
Coefficient of variation (CV)3.3980476
Kurtosis54.54224
Mean0.2245
Median Absolute Deviation (MAD)0
Skewness6.1999779
Sum2245
Variance0.58195795
MonotonicityNot monotonic
2024-04-06T17:52:53.448884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8604
86.0%
1 1027
 
10.3%
2 178
 
1.8%
3 79
 
0.8%
4 42
 
0.4%
5 26
 
0.3%
6 18
 
0.2%
7 8
 
0.1%
8 8
 
0.1%
9 6
 
0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
0 8604
86.0%
1 1027
 
10.3%
2 178
 
1.8%
3 79
 
0.8%
4 42
 
0.4%
5 26
 
0.3%
6 18
 
0.2%
7 8
 
0.1%
8 8
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 1
 
< 0.1%
10 2
 
< 0.1%
9 6
 
0.1%
8 8
 
0.1%
7 8
 
0.1%
6 18
 
0.2%
5 26
 
0.3%
4 42
0.4%
3 79
0.8%

92세남자
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.168
Minimum0
Maximum13
Zeros8884
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:53.704345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63404748
Coefficient of variation (CV)3.7740921
Kurtosis87.492047
Mean0.168
Median Absolute Deviation (MAD)0
Skewness7.4980604
Sum1680
Variance0.4020162
MonotonicityNot monotonic
2024-04-06T17:52:53.951961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8884
88.8%
1 844
 
8.4%
2 146
 
1.5%
3 63
 
0.6%
4 28
 
0.3%
5 14
 
0.1%
6 6
 
0.1%
8 5
 
0.1%
10 4
 
< 0.1%
9 2
 
< 0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
0 8884
88.8%
1 844
 
8.4%
2 146
 
1.5%
3 63
 
0.6%
4 28
 
0.3%
5 14
 
0.1%
6 6
 
0.1%
7 2
 
< 0.1%
8 5
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 1
 
< 0.1%
10 4
 
< 0.1%
9 2
 
< 0.1%
8 5
 
0.1%
7 2
 
< 0.1%
6 6
 
0.1%
5 14
 
0.1%
4 28
0.3%
3 63
0.6%

93세남자
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1158
Minimum0
Maximum12
Zeros9181
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:54.276690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.493776
Coefficient of variation (CV)4.2640415
Kurtosis113.38943
Mean0.1158
Median Absolute Deviation (MAD)0
Skewness8.2469749
Sum1158
Variance0.24381474
MonotonicityNot monotonic
2024-04-06T17:52:54.566915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9181
91.8%
1 636
 
6.4%
2 112
 
1.1%
3 36
 
0.4%
4 13
 
0.1%
5 12
 
0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 9181
91.8%
1 636
 
6.4%
2 112
 
1.1%
3 36
 
0.4%
4 13
 
0.1%
5 12
 
0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
7 3
 
< 0.1%
6 4
 
< 0.1%
5 12
 
0.1%
4 13
 
0.1%
3 36
 
0.4%
2 112
 
1.1%
1 636
6.4%

94세남자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0924
Minimum0
Maximum8
Zeros9321
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:54.814828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40973043
Coefficient of variation (CV)4.434312
Kurtosis68.562511
Mean0.0924
Median Absolute Deviation (MAD)0
Skewness6.9029748
Sum924
Variance0.16787903
MonotonicityNot monotonic
2024-04-06T17:52:55.114060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9321
93.2%
1 534
 
5.3%
2 90
 
0.9%
3 29
 
0.3%
4 14
 
0.1%
5 8
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9321
93.2%
1 534
 
5.3%
2 90
 
0.9%
3 29
 
0.3%
4 14
 
0.1%
5 8
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 8
 
0.1%
4 14
 
0.1%
3 29
 
0.3%
2 90
 
0.9%
1 534
 
5.3%
0 9321
93.2%

95세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0662
Minimum0
Maximum6
Zeros9465
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:55.347870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31500394
Coefficient of variation (CV)4.7583677
Kurtosis60.125737
Mean0.0662
Median Absolute Deviation (MAD)0
Skewness6.605461
Sum662
Variance0.099227483
MonotonicityNot monotonic
2024-04-06T17:52:55.565734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9465
94.7%
1 453
 
4.5%
2 48
 
0.5%
3 26
 
0.3%
4 6
 
0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9465
94.7%
1 453
 
4.5%
2 48
 
0.5%
3 26
 
0.3%
4 6
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 6
 
0.1%
3 26
 
0.3%
2 48
 
0.5%
1 453
 
4.5%
0 9465
94.7%

96세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0456
Minimum0
Maximum5
Zeros9615
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:52:55.786953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2524421
Coefficient of variation (CV)5.5360109
Kurtosis80.004374
Mean0.0456
Median Absolute Deviation (MAD)0
Skewness7.547818
Sum456
Variance0.063727013
MonotonicityNot monotonic
2024-04-06T17:52:56.004237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9615
96.2%
1 336
 
3.4%
2 33
 
0.3%
3 12
 
0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
0 9615
96.2%
1 336
 
3.4%
2 33
 
0.3%
3 12
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 2
 
< 0.1%
3 12
 
0.1%
2 33
 
0.3%
1 336
 
3.4%
0 9615
96.2%

97세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9758 
1
 
217
2
 
19
3
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9758
97.6%
1 217
 
2.2%
2 19
 
0.2%
3 6
 
0.1%

Length

2024-04-06T17:52:56.274605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:56.495131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9758
97.6%
1 217
 
2.2%
2 19
 
0.2%
3 6
 
0.1%

98세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9858 
1
 
128
2
 
13
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9858
98.6%
1 128
 
1.3%
2 13
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:52:56.741123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:57.066906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9858
98.6%
1 128
 
1.3%
2 13
 
0.1%
3 1
 
< 0.1%

99세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9896 
1
 
96
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9896
99.0%
1 96
 
1.0%
2 8
 
0.1%

Length

2024-04-06T17:52:57.316913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:57.528890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9896
99.0%
1 96
 
1.0%
2 8
 
0.1%

100세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9912 
1
 
86
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9912
99.1%
1 86
 
0.9%
2 2
 
< 0.1%

Length

2024-04-06T17:52:57.777067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:58.039570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9912
99.1%
1 86
 
0.9%
2 2
 
< 0.1%

101세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9929 
1
 
71

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9929
99.3%
1 71
 
0.7%

Length

2024-04-06T17:52:58.323522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:58.563647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9929
99.3%
1 71
 
0.7%

102세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9961 
1
 
38
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9961
99.6%
1 38
 
0.4%
2 1
 
< 0.1%

Length

2024-04-06T17:52:58.765078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:58.979846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9961
99.6%
1 38
 
0.4%
2 1
 
< 0.1%

103세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9978 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9978
99.8%
1 22
 
0.2%

Length

2024-04-06T17:52:59.180299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:59.470460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9978
99.8%
1 22
 
0.2%

104세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9988 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9988
99.9%
1 12
 
0.1%

Length

2024-04-06T17:52:59.756661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:59.960915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9988
99.9%
1 12
 
0.1%

105세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9991 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9991
99.9%
1 9
 
0.1%

Length

2024-04-06T17:53:00.350750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:00.650495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9991
99.9%
1 9
 
0.1%

106세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9992 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9992
99.9%
1 8
 
0.1%

Length

2024-04-06T17:53:00.892450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:01.105705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9992
99.9%
1 8
 
0.1%

107세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9991 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9991
99.9%
1 9
 
0.1%

Length

2024-04-06T17:53:01.348443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:01.554381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9991
99.9%
1 9
 
0.1%

108세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9998 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9998
> 99.9%
1 2
 
< 0.1%

Length

2024-04-06T17:53:01.782958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:02.020302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
1 2
 
< 0.1%

109세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9997 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9997
> 99.9%
1 3
 
< 0.1%

Length

2024-04-06T17:53:02.230720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:02.412471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9997
> 99.9%
1 3
 
< 0.1%

110세이상 남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9997 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9997
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-06T17:53:02.601399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:02.846856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9997
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%

0세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9995 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9995
> 99.9%
1 5
 
0.1%

Length

2024-04-06T17:53:03.090583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:03.296771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9995
> 99.9%
1 5
 
< 0.1%

1세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9985 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9985
99.9%
1 15
 
0.1%

Length

2024-04-06T17:53:03.609899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:03.910240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9985
99.9%
1 15
 
0.1%

2세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9977 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9977
99.8%
1 23
 
0.2%

Length

2024-04-06T17:53:04.180583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:04.525050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9977
99.8%
1 23
 
0.2%

3세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9969 
1
 
29
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9969
99.7%
1 29
 
0.3%
2 2
 
< 0.1%

Length

2024-04-06T17:53:04.714486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:04.884455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9969
99.7%
1 29
 
0.3%
2 2
 
< 0.1%

4세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9942 
1
 
56
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9942
99.4%
1 56
 
0.6%
2 2
 
< 0.1%

Length

2024-04-06T17:53:05.068349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:05.246277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9942
99.4%
1 56
 
0.6%
2 2
 
< 0.1%

5세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9932 
1
 
65
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9932
99.3%
1 65
 
0.7%
2 2
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:53:05.451975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:05.640906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9932
99.3%
1 65
 
0.7%
2 2
 
< 0.1%
3 1
 
< 0.1%

6세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9934 
1
 
56
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9934
99.3%
1 56
 
0.6%
2 10
 
0.1%

Length

2024-04-06T17:53:05.890822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:06.070538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9934
99.3%
1 56
 
0.6%
2 10
 
0.1%

7세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9905 
1
 
83
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9905
99.1%
1 83
 
0.8%
2 12
 
0.1%

Length

2024-04-06T17:53:06.420500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:06.661054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9905
99.1%
1 83
 
0.8%
2 12
 
0.1%

8세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0135
Minimum0
Maximum5
Zeros9883
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:06.832473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13827387
Coefficient of variation (CV)10.242509
Kurtosis336.26023
Mean0.0135
Median Absolute Deviation (MAD)0
Skewness15.029862
Sum135
Variance0.019119662
MonotonicityNot monotonic
2024-04-06T17:53:07.107273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9883
98.8%
1 106
 
1.1%
2 7
 
0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9883
98.8%
1 106
 
1.1%
2 7
 
0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 7
 
0.1%
1 106
 
1.1%
0 9883
98.8%

9세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9863 
1
 
118
2
 
16
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row5
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9863
98.6%
1 118
 
1.2%
2 16
 
0.2%
3 2
 
< 0.1%
5 1
 
< 0.1%

Length

2024-04-06T17:53:07.468013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:07.657791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9863
98.6%
1 118
 
1.2%
2 16
 
0.2%
3 2
 
< 0.1%
5 1
 
< 0.1%

10세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9867 
1
 
114
2
 
14
3
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row4
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9867
98.7%
1 114
 
1.1%
2 14
 
0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:53:07.854333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:08.060404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9867
98.7%
1 114
 
1.1%
2 14
 
0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%

11세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9844 
1
 
137
2
 
13
4
 
3
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row4
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9844
98.4%
1 137
 
1.4%
2 13
 
0.1%
4 3
 
< 0.1%
3 3
 
< 0.1%

Length

2024-04-06T17:53:08.257866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:08.513610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9844
98.4%
1 137
 
1.4%
2 13
 
0.1%
4 3
 
< 0.1%
3 3
 
< 0.1%

12세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9865 
1
 
108
2
 
22
3
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9865
98.7%
1 108
 
1.1%
2 22
 
0.2%
3 3
 
< 0.1%
4 2
 
< 0.1%

Length

2024-04-06T17:53:08.748492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:08.961303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9865
98.7%
1 108
 
1.1%
2 22
 
0.2%
3 3
 
< 0.1%
4 2
 
< 0.1%

13세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0219
Minimum0
Maximum20
Zeros9840
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:09.153095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26837957
Coefficient of variation (CV)12.254775
Kurtosis3125.3366
Mean0.0219
Median Absolute Deviation (MAD)0
Skewness45.3175
Sum219
Variance0.072027593
MonotonicityNot monotonic
2024-04-06T17:53:09.385353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9840
98.4%
1 132
 
1.3%
2 20
 
0.2%
3 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
20 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 9840
98.4%
1 132
 
1.3%
2 20
 
0.2%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 20
 
0.2%
1 132
 
1.3%
0 9840
98.4%

14세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023
Minimum0
Maximum17
Zeros9833
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:09.624470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26434445
Coefficient of variation (CV)11.493237
Kurtosis1934.2054
Mean0.023
Median Absolute Deviation (MAD)0
Skewness35.522337
Sum230
Variance0.069877988
MonotonicityNot monotonic
2024-04-06T17:53:09.837071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9833
98.3%
1 136
 
1.4%
2 25
 
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
0 9833
98.3%
1 136
 
1.4%
2 25
 
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 25
 
0.2%
1 136
 
1.4%
0 9833
98.3%

15세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0383
Minimum0
Maximum30
Zeros9792
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:10.052299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.52826226
Coefficient of variation (CV)13.792748
Kurtosis1554.9313
Mean0.0383
Median Absolute Deviation (MAD)0
Skewness35.136535
Sum383
Variance0.27906102
MonotonicityNot monotonic
2024-04-06T17:53:10.286051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9792
97.9%
1 160
 
1.6%
2 29
 
0.3%
3 9
 
0.1%
17 2
 
< 0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
20 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 9792
97.9%
1 160
 
1.6%
2 29
 
0.3%
3 9
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
20 1
 
< 0.1%
17 2
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 9
0.1%

16세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.052
Minimum0
Maximum48
Zeros9755
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:10.508833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74963471
Coefficient of variation (CV)14.416052
Kurtosis2034.4793
Mean0.052
Median Absolute Deviation (MAD)0
Skewness39.368616
Sum520
Variance0.5619522
MonotonicityNot monotonic
2024-04-06T17:53:10.729391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9755
97.5%
1 186
 
1.9%
2 26
 
0.3%
3 13
 
0.1%
4 5
 
0.1%
8 2
 
< 0.1%
5 2
 
< 0.1%
9 2
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9755
97.5%
1 186
 
1.9%
2 26
 
0.3%
3 13
 
0.1%
4 5
 
0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
48 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
16 1
< 0.1%
12 1
< 0.1%
9 2
< 0.1%
8 2
< 0.1%
7 1
< 0.1%

17세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0569
Minimum0
Maximum30
Zeros9714
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:11.015326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66851109
Coefficient of variation (CV)11.748877
Kurtosis1103.2136
Mean0.0569
Median Absolute Deviation (MAD)0
Skewness29.784563
Sum569
Variance0.44690708
MonotonicityNot monotonic
2024-04-06T17:53:11.225880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9714
97.1%
1 210
 
2.1%
2 41
 
0.4%
3 10
 
0.1%
4 8
 
0.1%
5 4
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
23 1
 
< 0.1%
19 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9714
97.1%
1 210
 
2.1%
2 41
 
0.4%
3 10
 
0.1%
4 8
 
0.1%
5 4
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
30 1
< 0.1%
29 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
19 1
< 0.1%
15 1
< 0.1%
13 1
< 0.1%
9 1
< 0.1%
8 2
< 0.1%
7 2
< 0.1%

18세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3143
Minimum0
Maximum120
Zeros9377
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:11.471105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2434191
Coefficient of variation (CV)10.319501
Kurtosis776.13114
Mean0.3143
Median Absolute Deviation (MAD)0
Skewness24.915639
Sum3143
Variance10.519767
MonotonicityNot monotonic
2024-04-06T17:53:12.189924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 9377
93.8%
1 306
 
3.1%
2 98
 
1.0%
3 40
 
0.4%
4 30
 
0.3%
5 23
 
0.2%
6 20
 
0.2%
7 16
 
0.2%
8 12
 
0.1%
9 11
 
0.1%
Other values (30) 67
 
0.7%
ValueCountFrequency (%)
0 9377
93.8%
1 306
 
3.1%
2 98
 
1.0%
3 40
 
0.4%
4 30
 
0.3%
5 23
 
0.2%
6 20
 
0.2%
7 16
 
0.2%
8 12
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
120 2
< 0.1%
119 1
< 0.1%
100 1
< 0.1%
91 1
< 0.1%
78 1
< 0.1%
62 1
< 0.1%
55 1
< 0.1%
46 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%

19세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9459
Minimum0
Maximum315
Zeros8998
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:12.503381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum315
Range315
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.3675549
Coefficient of variation (CV)8.8461305
Kurtosis528.6645
Mean0.9459
Median Absolute Deviation (MAD)0
Skewness20.118659
Sum9459
Variance70.015975
MonotonicityNot monotonic
2024-04-06T17:53:12.778710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8998
90.0%
1 417
 
4.2%
2 139
 
1.4%
3 82
 
0.8%
4 48
 
0.5%
6 36
 
0.4%
5 34
 
0.3%
7 26
 
0.3%
8 16
 
0.2%
10 15
 
0.1%
Other values (70) 189
 
1.9%
ValueCountFrequency (%)
0 8998
90.0%
1 417
 
4.2%
2 139
 
1.4%
3 82
 
0.8%
4 48
 
0.5%
5 34
 
0.3%
6 36
 
0.4%
7 26
 
0.3%
8 16
 
0.2%
9 9
 
0.1%
ValueCountFrequency (%)
315 1
< 0.1%
248 1
< 0.1%
243 1
< 0.1%
226 1
< 0.1%
201 1
< 0.1%
184 1
< 0.1%
177 1
< 0.1%
158 1
< 0.1%
156 1
< 0.1%
139 1
< 0.1%

20세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6086
Minimum0
Maximum544
Zeros8755
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:13.036634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum544
Range544
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.366753
Coefficient of variation (CV)8.3095565
Kurtosis568.75636
Mean1.6086
Median Absolute Deviation (MAD)0
Skewness20.022207
Sum16086
Variance178.67007
MonotonicityNot monotonic
2024-04-06T17:53:13.420960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8755
87.5%
1 483
 
4.8%
2 160
 
1.6%
3 95
 
0.9%
4 66
 
0.7%
5 37
 
0.4%
6 34
 
0.3%
7 29
 
0.3%
8 27
 
0.3%
10 24
 
0.2%
Other values (92) 290
 
2.9%
ValueCountFrequency (%)
0 8755
87.5%
1 483
 
4.8%
2 160
 
1.6%
3 95
 
0.9%
4 66
 
0.7%
5 37
 
0.4%
6 34
 
0.3%
7 29
 
0.3%
8 27
 
0.3%
9 17
 
0.2%
ValueCountFrequency (%)
544 1
< 0.1%
471 1
< 0.1%
304 1
< 0.1%
297 1
< 0.1%
278 1
< 0.1%
259 1
< 0.1%
252 1
< 0.1%
246 1
< 0.1%
217 1
< 0.1%
202 1
< 0.1%

21세여자
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0471
Minimum0
Maximum610
Zeros8537
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:13.704001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum610
Range610
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.783605
Coefficient of variation (CV)7.7102268
Kurtosis539.15887
Mean2.0471
Median Absolute Deviation (MAD)0
Skewness19.125637
Sum20471
Variance249.12219
MonotonicityNot monotonic
2024-04-06T17:53:13.982469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8537
85.4%
1 555
 
5.5%
2 174
 
1.7%
3 116
 
1.2%
4 76
 
0.8%
5 52
 
0.5%
6 51
 
0.5%
7 36
 
0.4%
8 25
 
0.2%
13 20
 
0.2%
Other values (108) 358
 
3.6%
ValueCountFrequency (%)
0 8537
85.4%
1 555
 
5.5%
2 174
 
1.7%
3 116
 
1.2%
4 76
 
0.8%
5 52
 
0.5%
6 51
 
0.5%
7 36
 
0.4%
8 25
 
0.2%
9 20
 
0.2%
ValueCountFrequency (%)
610 1
< 0.1%
594 1
< 0.1%
377 1
< 0.1%
334 1
< 0.1%
284 1
< 0.1%
276 1
< 0.1%
274 1
< 0.1%
249 1
< 0.1%
236 1
< 0.1%
228 1
< 0.1%

22세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct138
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.642
Minimum0
Maximum956
Zeros8225
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:14.250928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum956
Range956
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.569531
Coefficient of variation (CV)7.4070896
Kurtosis771.62229
Mean2.642
Median Absolute Deviation (MAD)0
Skewness21.901205
Sum26420
Variance382.96653
MonotonicityNot monotonic
2024-04-06T17:53:14.567923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8225
82.2%
1 683
 
6.8%
2 195
 
1.9%
3 134
 
1.3%
4 96
 
1.0%
6 62
 
0.6%
7 57
 
0.6%
5 53
 
0.5%
8 32
 
0.3%
9 29
 
0.3%
Other values (128) 434
 
4.3%
ValueCountFrequency (%)
0 8225
82.2%
1 683
 
6.8%
2 195
 
1.9%
3 134
 
1.3%
4 96
 
1.0%
5 53
 
0.5%
6 62
 
0.6%
7 57
 
0.6%
8 32
 
0.3%
9 29
 
0.3%
ValueCountFrequency (%)
956 1
< 0.1%
625 1
< 0.1%
510 1
< 0.1%
373 1
< 0.1%
318 1
< 0.1%
304 1
< 0.1%
293 1
< 0.1%
287 1
< 0.1%
266 1
< 0.1%
237 1
< 0.1%

23세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct157
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5259
Minimum0
Maximum1475
Zeros7944
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:14.835079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum1475
Range1475
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.596192
Coefficient of variation (CV)7.2594776
Kurtosis1202.3841
Mean3.5259
Median Absolute Deviation (MAD)0
Skewness26.332198
Sum35259
Variance655.16505
MonotonicityNot monotonic
2024-04-06T17:53:15.090704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7944
79.4%
1 750
 
7.5%
2 231
 
2.3%
3 132
 
1.3%
4 97
 
1.0%
5 72
 
0.7%
7 66
 
0.7%
9 54
 
0.5%
6 54
 
0.5%
8 47
 
0.5%
Other values (147) 553
 
5.5%
ValueCountFrequency (%)
0 7944
79.4%
1 750
 
7.5%
2 231
 
2.3%
3 132
 
1.3%
4 97
 
1.0%
5 72
 
0.7%
6 54
 
0.5%
7 66
 
0.7%
8 47
 
0.5%
9 54
 
0.5%
ValueCountFrequency (%)
1475 1
< 0.1%
602 1
< 0.1%
587 1
< 0.1%
490 1
< 0.1%
423 1
< 0.1%
376 1
< 0.1%
325 1
< 0.1%
313 1
< 0.1%
300 2
< 0.1%
298 1
< 0.1%

24세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct167
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1104
Minimum0
Maximum1818
Zeros7718
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:15.452010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14.05
Maximum1818
Range1818
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.399627
Coefficient of variation (CV)7.1524977
Kurtosis1529.7549
Mean4.1104
Median Absolute Deviation (MAD)0
Skewness29.56742
Sum41104
Variance864.33805
MonotonicityNot monotonic
2024-04-06T17:53:15.754823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7718
77.2%
1 829
 
8.3%
2 283
 
2.8%
3 150
 
1.5%
4 106
 
1.1%
5 82
 
0.8%
8 56
 
0.6%
7 48
 
0.5%
9 45
 
0.4%
6 45
 
0.4%
Other values (157) 638
 
6.4%
ValueCountFrequency (%)
0 7718
77.2%
1 829
 
8.3%
2 283
 
2.8%
3 150
 
1.5%
4 106
 
1.1%
5 82
 
0.8%
6 45
 
0.4%
7 48
 
0.5%
8 56
 
0.6%
9 45
 
0.4%
ValueCountFrequency (%)
1818 1
< 0.1%
657 1
< 0.1%
594 1
< 0.1%
465 1
< 0.1%
429 1
< 0.1%
398 1
< 0.1%
365 1
< 0.1%
341 1
< 0.1%
339 1
< 0.1%
333 1
< 0.1%

25세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct176
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6004
Minimum0
Maximum2150
Zeros7504
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:16.029063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum2150
Range2150
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.31797
Coefficient of variation (CV)7.2424072
Kurtosis1807.0188
Mean4.6004
Median Absolute Deviation (MAD)0
Skewness32.665331
Sum46004
Variance1110.0871
MonotonicityNot monotonic
2024-04-06T17:53:16.316689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7504
75.0%
1 922
 
9.2%
2 289
 
2.9%
3 154
 
1.5%
4 121
 
1.2%
5 91
 
0.9%
6 75
 
0.8%
7 64
 
0.6%
8 47
 
0.5%
9 41
 
0.4%
Other values (166) 692
 
6.9%
ValueCountFrequency (%)
0 7504
75.0%
1 922
 
9.2%
2 289
 
2.9%
3 154
 
1.5%
4 121
 
1.2%
5 91
 
0.9%
6 75
 
0.8%
7 64
 
0.6%
8 47
 
0.5%
9 41
 
0.4%
ValueCountFrequency (%)
2150 1
< 0.1%
856 1
< 0.1%
604 1
< 0.1%
492 1
< 0.1%
474 1
< 0.1%
412 1
< 0.1%
408 1
< 0.1%
396 1
< 0.1%
395 1
< 0.1%
393 1
< 0.1%

26세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2377
Minimum0
Maximum2504
Zeros7382
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:16.586398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile19
Maximum2504
Range2504
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.166373
Coefficient of variation (CV)7.2868575
Kurtosis1926.7432
Mean5.2377
Median Absolute Deviation (MAD)0
Skewness33.941664
Sum52377
Variance1456.6721
MonotonicityNot monotonic
2024-04-06T17:53:16.861636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7382
73.8%
1 972
 
9.7%
2 298
 
3.0%
3 153
 
1.5%
4 110
 
1.1%
5 95
 
0.9%
7 71
 
0.7%
6 67
 
0.7%
9 45
 
0.4%
8 44
 
0.4%
Other values (173) 763
 
7.6%
ValueCountFrequency (%)
0 7382
73.8%
1 972
 
9.7%
2 298
 
3.0%
3 153
 
1.5%
4 110
 
1.1%
5 95
 
0.9%
6 67
 
0.7%
7 71
 
0.7%
8 44
 
0.4%
9 45
 
0.4%
ValueCountFrequency (%)
2504 1
< 0.1%
1015 1
< 0.1%
581 1
< 0.1%
580 1
< 0.1%
524 1
< 0.1%
523 1
< 0.1%
492 1
< 0.1%
477 1
< 0.1%
454 1
< 0.1%
450 1
< 0.1%

27세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct188
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4431
Minimum0
Maximum2425
Zeros7302
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:17.127805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile21
Maximum2425
Range2425
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.385348
Coefficient of variation (CV)7.0521114
Kurtosis1687.4595
Mean5.4431
Median Absolute Deviation (MAD)0
Skewness31.561356
Sum54431
Variance1473.4349
MonotonicityNot monotonic
2024-04-06T17:53:17.385702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7302
73.0%
1 1017
 
10.2%
2 316
 
3.2%
3 173
 
1.7%
4 111
 
1.1%
5 74
 
0.7%
6 69
 
0.7%
8 59
 
0.6%
7 53
 
0.5%
9 44
 
0.4%
Other values (178) 782
 
7.8%
ValueCountFrequency (%)
0 7302
73.0%
1 1017
 
10.2%
2 316
 
3.2%
3 173
 
1.7%
4 111
 
1.1%
5 74
 
0.7%
6 69
 
0.7%
7 53
 
0.5%
8 59
 
0.6%
9 44
 
0.4%
ValueCountFrequency (%)
2425 1
< 0.1%
1105 1
< 0.1%
569 1
< 0.1%
568 1
< 0.1%
544 1
< 0.1%
501 1
< 0.1%
498 1
< 0.1%
488 1
< 0.1%
487 1
< 0.1%
443 1
< 0.1%

28세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5837
Minimum0
Maximum2308
Zeros7213
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:17.687936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22
Maximum2308
Range2308
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.819699
Coefficient of variation (CV)6.7732326
Kurtosis1487.9716
Mean5.5837
Median Absolute Deviation (MAD)0
Skewness29.365066
Sum55837
Variance1430.3296
MonotonicityNot monotonic
2024-04-06T17:53:17.976002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7213
72.1%
1 1062
 
10.6%
2 329
 
3.3%
3 158
 
1.6%
4 114
 
1.1%
5 102
 
1.0%
6 66
 
0.7%
8 51
 
0.5%
9 45
 
0.4%
7 45
 
0.4%
Other values (179) 815
 
8.2%
ValueCountFrequency (%)
0 7213
72.1%
1 1062
 
10.6%
2 329
 
3.3%
3 158
 
1.6%
4 114
 
1.1%
5 102
 
1.0%
6 66
 
0.7%
7 45
 
0.4%
8 51
 
0.5%
9 45
 
0.4%
ValueCountFrequency (%)
2308 1
< 0.1%
1104 1
< 0.1%
573 1
< 0.1%
542 1
< 0.1%
505 1
< 0.1%
502 1
< 0.1%
500 1
< 0.1%
486 1
< 0.1%
462 1
< 0.1%
459 1
< 0.1%

29세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4094
Minimum0
Maximum2115
Zeros7247
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:18.238152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22
Maximum2115
Range2115
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.760325
Coefficient of variation (CV)6.6107748
Kurtosis1330.5243
Mean5.4094
Median Absolute Deviation (MAD)0
Skewness27.627401
Sum54094
Variance1278.8009
MonotonicityNot monotonic
2024-04-06T17:53:18.498173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7247
72.5%
1 1026
 
10.3%
2 359
 
3.6%
3 156
 
1.6%
4 115
 
1.1%
5 96
 
1.0%
7 58
 
0.6%
6 57
 
0.6%
9 51
 
0.5%
8 49
 
0.5%
Other values (174) 786
 
7.9%
ValueCountFrequency (%)
0 7247
72.5%
1 1026
 
10.3%
2 359
 
3.6%
3 156
 
1.6%
4 115
 
1.1%
5 96
 
1.0%
6 57
 
0.6%
7 58
 
0.6%
8 49
 
0.5%
9 51
 
0.5%
ValueCountFrequency (%)
2115 1
< 0.1%
1043 1
< 0.1%
617 1
< 0.1%
545 1
< 0.1%
474 2
< 0.1%
472 1
< 0.1%
463 1
< 0.1%
457 1
< 0.1%
432 1
< 0.1%
431 1
< 0.1%

30세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1483
Minimum0
Maximum1844
Zeros7258
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:18.764107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile21
Maximum1844
Range1844
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.860881
Coefficient of variation (CV)6.3828605
Kurtosis1114.8904
Mean5.1483
Median Absolute Deviation (MAD)0
Skewness25.224241
Sum51483
Variance1079.8375
MonotonicityNot monotonic
2024-04-06T17:53:19.062858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7258
72.6%
1 1067
 
10.7%
2 313
 
3.1%
3 144
 
1.4%
4 121
 
1.2%
5 87
 
0.9%
6 76
 
0.8%
7 64
 
0.6%
8 45
 
0.4%
9 44
 
0.4%
Other values (169) 781
 
7.8%
ValueCountFrequency (%)
0 7258
72.6%
1 1067
 
10.7%
2 313
 
3.1%
3 144
 
1.4%
4 121
 
1.2%
5 87
 
0.9%
6 76
 
0.8%
7 64
 
0.6%
8 45
 
0.4%
9 44
 
0.4%
ValueCountFrequency (%)
1844 1
< 0.1%
972 1
< 0.1%
653 1
< 0.1%
579 1
< 0.1%
462 1
< 0.1%
452 1
< 0.1%
429 1
< 0.1%
411 1
< 0.1%
406 2
< 0.1%
400 1
< 0.1%

31세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct174
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8491
Minimum0
Maximum1600
Zeros7254
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:19.336174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile20
Maximum1600
Range1600
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.803892
Coefficient of variation (CV)6.1462728
Kurtosis955.65845
Mean4.8491
Median Absolute Deviation (MAD)0
Skewness23.174495
Sum48491
Variance888.27196
MonotonicityNot monotonic
2024-04-06T17:53:20.131431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7254
72.5%
1 1059
 
10.6%
2 320
 
3.2%
3 178
 
1.8%
4 129
 
1.3%
5 87
 
0.9%
6 74
 
0.7%
7 51
 
0.5%
8 44
 
0.4%
9 36
 
0.4%
Other values (164) 768
 
7.7%
ValueCountFrequency (%)
0 7254
72.5%
1 1059
 
10.6%
2 320
 
3.2%
3 178
 
1.8%
4 129
 
1.3%
5 87
 
0.9%
6 74
 
0.7%
7 51
 
0.5%
8 44
 
0.4%
9 36
 
0.4%
ValueCountFrequency (%)
1600 1
< 0.1%
892 1
< 0.1%
554 1
< 0.1%
456 1
< 0.1%
437 1
< 0.1%
435 1
< 0.1%
405 1
< 0.1%
386 2
< 0.1%
363 1
< 0.1%
360 1
< 0.1%

32세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3399
Minimum0
Maximum1272
Zeros7348
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:20.405008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum1272
Range1272
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.858175
Coefficient of variation (CV)5.9582422
Kurtosis720.36105
Mean4.3399
Median Absolute Deviation (MAD)0
Skewness20.199976
Sum43399
Variance668.64523
MonotonicityNot monotonic
2024-04-06T17:53:20.704451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7348
73.5%
1 1036
 
10.4%
2 325
 
3.2%
3 159
 
1.6%
4 108
 
1.1%
5 93
 
0.9%
6 76
 
0.8%
9 51
 
0.5%
7 49
 
0.5%
10 41
 
0.4%
Other values (159) 714
 
7.1%
ValueCountFrequency (%)
0 7348
73.5%
1 1036
 
10.4%
2 325
 
3.2%
3 159
 
1.6%
4 108
 
1.1%
5 93
 
0.9%
6 76
 
0.8%
7 49
 
0.5%
8 26
 
0.3%
9 51
 
0.5%
ValueCountFrequency (%)
1272 1
< 0.1%
762 1
< 0.1%
530 1
< 0.1%
421 1
< 0.1%
418 1
< 0.1%
385 1
< 0.1%
354 1
< 0.1%
353 1
< 0.1%
336 1
< 0.1%
323 1
< 0.1%

33세여자
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5729
Minimum0
Maximum922
Zeros7447
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:20.972460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum922
Range922
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.658721
Coefficient of variation (CV)5.7820597
Kurtosis565.65015
Mean3.5729
Median Absolute Deviation (MAD)0
Skewness18.207008
Sum35729
Variance426.78276
MonotonicityNot monotonic
2024-04-06T17:53:21.232376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7447
74.5%
1 1050
 
10.5%
2 302
 
3.0%
3 148
 
1.5%
4 111
 
1.1%
5 74
 
0.7%
6 63
 
0.6%
7 58
 
0.6%
9 50
 
0.5%
11 39
 
0.4%
Other values (138) 658
 
6.6%
ValueCountFrequency (%)
0 7447
74.5%
1 1050
 
10.5%
2 302
 
3.0%
3 148
 
1.5%
4 111
 
1.1%
5 74
 
0.7%
6 63
 
0.6%
7 58
 
0.6%
8 37
 
0.4%
9 50
 
0.5%
ValueCountFrequency (%)
922 1
< 0.1%
648 1
< 0.1%
474 1
< 0.1%
338 1
< 0.1%
323 1
< 0.1%
304 1
< 0.1%
283 1
< 0.1%
282 1
< 0.1%
281 1
< 0.1%
278 1
< 0.1%

34세여자
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1826
Minimum0
Maximum770
Zeros7537
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:21.471454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13
Maximum770
Range770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.990809
Coefficient of variation (CV)5.6528654
Kurtosis488.73099
Mean3.1826
Median Absolute Deviation (MAD)0
Skewness16.996642
Sum31826
Variance323.66922
MonotonicityNot monotonic
2024-04-06T17:53:21.743215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7537
75.4%
1 963
 
9.6%
2 296
 
3.0%
3 172
 
1.7%
4 127
 
1.3%
5 82
 
0.8%
7 68
 
0.7%
6 58
 
0.6%
8 49
 
0.5%
10 41
 
0.4%
Other values (132) 607
 
6.1%
ValueCountFrequency (%)
0 7537
75.4%
1 963
 
9.6%
2 296
 
3.0%
3 172
 
1.7%
4 127
 
1.3%
5 82
 
0.8%
6 58
 
0.6%
7 68
 
0.7%
8 49
 
0.5%
9 31
 
0.3%
ValueCountFrequency (%)
770 1
< 0.1%
526 1
< 0.1%
413 1
< 0.1%
324 1
< 0.1%
281 1
< 0.1%
277 1
< 0.1%
255 1
< 0.1%
252 1
< 0.1%
245 1
< 0.1%
237 1
< 0.1%

35세여자
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8339
Minimum0
Maximum680
Zeros7581
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:22.015152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum680
Range680
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.772736
Coefficient of variation (CV)5.5657347
Kurtosis502.75836
Mean2.8339
Median Absolute Deviation (MAD)0
Skewness17.196777
Sum28339
Variance248.77919
MonotonicityNot monotonic
2024-04-06T17:53:22.331865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7581
75.8%
1 962
 
9.6%
2 312
 
3.1%
3 164
 
1.6%
4 97
 
1.0%
5 85
 
0.9%
6 62
 
0.6%
7 49
 
0.5%
8 47
 
0.5%
10 42
 
0.4%
Other values (116) 599
 
6.0%
ValueCountFrequency (%)
0 7581
75.8%
1 962
 
9.6%
2 312
 
3.1%
3 164
 
1.6%
4 97
 
1.0%
5 85
 
0.9%
6 62
 
0.6%
7 49
 
0.5%
8 47
 
0.5%
9 34
 
0.3%
ValueCountFrequency (%)
680 1
< 0.1%
461 1
< 0.1%
387 1
< 0.1%
291 1
< 0.1%
228 2
< 0.1%
227 1
< 0.1%
206 1
< 0.1%
203 1
< 0.1%
202 1
< 0.1%
195 1
< 0.1%

36세여자
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5974
Minimum0
Maximum539
Zeros7594
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:22.600607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum539
Range539
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.042722
Coefficient of variation (CV)5.4064533
Kurtosis377.9354
Mean2.5974
Median Absolute Deviation (MAD)0
Skewness15.327498
Sum25974
Variance197.19803
MonotonicityNot monotonic
2024-04-06T17:53:22.881552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7594
75.9%
1 972
 
9.7%
2 313
 
3.1%
3 144
 
1.4%
4 117
 
1.2%
5 90
 
0.9%
6 72
 
0.7%
10 44
 
0.4%
9 43
 
0.4%
7 42
 
0.4%
Other values (108) 569
 
5.7%
ValueCountFrequency (%)
0 7594
75.9%
1 972
 
9.7%
2 313
 
3.1%
3 144
 
1.4%
4 117
 
1.2%
5 90
 
0.9%
6 72
 
0.7%
7 42
 
0.4%
8 41
 
0.4%
9 43
 
0.4%
ValueCountFrequency (%)
539 1
< 0.1%
388 1
< 0.1%
341 1
< 0.1%
285 1
< 0.1%
244 1
< 0.1%
222 1
< 0.1%
215 1
< 0.1%
205 1
< 0.1%
193 1
< 0.1%
192 1
< 0.1%

37세여자
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.426
Minimum0
Maximum465
Zeros7605
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:23.143825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum465
Range465
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.826955
Coefficient of variation (CV)5.2872857
Kurtosis365.13597
Mean2.426
Median Absolute Deviation (MAD)0
Skewness15.137944
Sum24260
Variance164.53078
MonotonicityNot monotonic
2024-04-06T17:53:23.442624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7605
76.0%
1 955
 
9.6%
2 326
 
3.3%
3 170
 
1.7%
4 104
 
1.0%
5 90
 
0.9%
6 64
 
0.6%
9 42
 
0.4%
7 40
 
0.4%
10 40
 
0.4%
Other values (99) 564
 
5.6%
ValueCountFrequency (%)
0 7605
76.0%
1 955
 
9.6%
2 326
 
3.3%
3 170
 
1.7%
4 104
 
1.0%
5 90
 
0.9%
6 64
 
0.6%
7 40
 
0.4%
8 36
 
0.4%
9 42
 
0.4%
ValueCountFrequency (%)
465 1
 
< 0.1%
391 1
 
< 0.1%
336 1
 
< 0.1%
247 1
 
< 0.1%
212 1
 
< 0.1%
196 1
 
< 0.1%
185 1
 
< 0.1%
182 1
 
< 0.1%
176 1
 
< 0.1%
163 3
< 0.1%

38세여자
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3163
Minimum0
Maximum394
Zeros7620
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:23.696023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum394
Range394
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.927484
Coefficient of variation (CV)5.1493694
Kurtosis304.61114
Mean2.3163
Median Absolute Deviation (MAD)0
Skewness14.008929
Sum23163
Variance142.26488
MonotonicityNot monotonic
2024-04-06T17:53:23.985121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7620
76.2%
1 960
 
9.6%
2 323
 
3.2%
3 143
 
1.4%
4 109
 
1.1%
5 93
 
0.9%
8 63
 
0.6%
6 53
 
0.5%
7 52
 
0.5%
10 40
 
0.4%
Other values (98) 544
 
5.4%
ValueCountFrequency (%)
0 7620
76.2%
1 960
 
9.6%
2 323
 
3.2%
3 143
 
1.4%
4 109
 
1.1%
5 93
 
0.9%
6 53
 
0.5%
7 52
 
0.5%
8 63
 
0.6%
9 35
 
0.4%
ValueCountFrequency (%)
394 1
< 0.1%
332 1
< 0.1%
331 1
< 0.1%
219 1
< 0.1%
212 1
< 0.1%
204 1
< 0.1%
192 1
< 0.1%
177 1
< 0.1%
171 1
< 0.1%
170 1
< 0.1%

39세여자
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2399
Minimum0
Maximum350
Zeros7495
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:24.281864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10.05
Maximum350
Range350
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.161765
Coefficient of variation (CV)4.9831534
Kurtosis288.35487
Mean2.2399
Median Absolute Deviation (MAD)0
Skewness13.522144
Sum22399
Variance124.58501
MonotonicityNot monotonic
2024-04-06T17:53:24.560162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7495
75.0%
1 1080
 
10.8%
2 302
 
3.0%
3 170
 
1.7%
4 107
 
1.1%
5 92
 
0.9%
7 70
 
0.7%
6 59
 
0.6%
9 47
 
0.5%
8 46
 
0.5%
Other values (94) 532
 
5.3%
ValueCountFrequency (%)
0 7495
75.0%
1 1080
 
10.8%
2 302
 
3.0%
3 170
 
1.7%
4 107
 
1.1%
5 92
 
0.9%
6 59
 
0.6%
7 70
 
0.7%
8 46
 
0.5%
9 47
 
0.5%
ValueCountFrequency (%)
350 1
< 0.1%
347 1
< 0.1%
281 1
< 0.1%
195 1
< 0.1%
184 1
< 0.1%
172 1
< 0.1%
166 1
< 0.1%
157 1
< 0.1%
151 1
< 0.1%
150 1
< 0.1%

40세여자
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4237
Minimum0
Maximum377
Zeros7336
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:24.803919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum377
Range377
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.870993
Coefficient of variation (CV)4.8978804
Kurtosis285.60408
Mean2.4237
Median Absolute Deviation (MAD)0
Skewness13.399825
Sum24237
Variance140.92047
MonotonicityNot monotonic
2024-04-06T17:53:25.053675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7336
73.4%
1 1188
 
11.9%
2 319
 
3.2%
3 180
 
1.8%
4 102
 
1.0%
5 75
 
0.8%
6 74
 
0.7%
7 60
 
0.6%
8 51
 
0.5%
9 51
 
0.5%
Other values (102) 564
 
5.6%
ValueCountFrequency (%)
0 7336
73.4%
1 1188
 
11.9%
2 319
 
3.2%
3 180
 
1.8%
4 102
 
1.0%
5 75
 
0.8%
6 74
 
0.7%
7 60
 
0.6%
8 51
 
0.5%
9 51
 
0.5%
ValueCountFrequency (%)
377 1
< 0.1%
359 1
< 0.1%
302 1
< 0.1%
211 1
< 0.1%
201 1
< 0.1%
193 1
< 0.1%
185 1
< 0.1%
176 1
< 0.1%
170 1
< 0.1%
156 1
< 0.1%

41세여자
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.571
Minimum0
Maximum360
Zeros7295
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:25.340764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum360
Range360
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.062525
Coefficient of variation (CV)4.6917639
Kurtosis240.29284
Mean2.571
Median Absolute Deviation (MAD)0
Skewness12.264057
Sum25710
Variance145.50451
MonotonicityNot monotonic
2024-04-06T17:53:25.586443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7295
73.0%
1 1143
 
11.4%
2 359
 
3.6%
3 171
 
1.7%
4 120
 
1.2%
5 86
 
0.9%
6 68
 
0.7%
8 57
 
0.6%
7 55
 
0.5%
9 50
 
0.5%
Other values (101) 596
 
6.0%
ValueCountFrequency (%)
0 7295
73.0%
1 1143
 
11.4%
2 359
 
3.6%
3 171
 
1.7%
4 120
 
1.2%
5 86
 
0.9%
6 68
 
0.7%
7 55
 
0.5%
8 57
 
0.6%
9 50
 
0.5%
ValueCountFrequency (%)
360 1
< 0.1%
356 1
< 0.1%
280 1
< 0.1%
217 1
< 0.1%
184 1
< 0.1%
179 1
< 0.1%
178 1
< 0.1%
171 1
< 0.1%
168 1
< 0.1%
166 1
< 0.1%

42세여자
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6106
Minimum0
Maximum357
Zeros7229
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:25.824541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum357
Range357
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.303012
Coefficient of variation (CV)4.7127143
Kurtosis227.81322
Mean2.6106
Median Absolute Deviation (MAD)0
Skewness12.168541
Sum26106
Variance151.3641
MonotonicityNot monotonic
2024-04-06T17:53:26.072579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7229
72.3%
1 1212
 
12.1%
2 326
 
3.3%
3 180
 
1.8%
4 117
 
1.2%
5 85
 
0.9%
6 69
 
0.7%
7 61
 
0.6%
8 59
 
0.6%
12 43
 
0.4%
Other values (96) 619
 
6.2%
ValueCountFrequency (%)
0 7229
72.3%
1 1212
 
12.1%
2 326
 
3.3%
3 180
 
1.8%
4 117
 
1.2%
5 85
 
0.9%
6 69
 
0.7%
7 61
 
0.6%
8 59
 
0.6%
9 42
 
0.4%
ValueCountFrequency (%)
357 1
< 0.1%
350 1
< 0.1%
275 1
< 0.1%
213 2
< 0.1%
193 1
< 0.1%
192 1
< 0.1%
190 1
< 0.1%
182 1
< 0.1%
163 1
< 0.1%
161 1
< 0.1%

43세여자
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4756
Minimum0
Maximum305
Zeros7223
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:26.325381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum305
Range305
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.122939
Coefficient of variation (CV)4.4930276
Kurtosis203.7477
Mean2.4756
Median Absolute Deviation (MAD)0
Skewness11.399348
Sum24756
Variance123.71978
MonotonicityNot monotonic
2024-04-06T17:53:26.558892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7223
72.2%
1 1202
 
12.0%
2 339
 
3.4%
3 194
 
1.9%
4 118
 
1.2%
5 99
 
1.0%
7 63
 
0.6%
6 61
 
0.6%
8 49
 
0.5%
9 45
 
0.4%
Other values (92) 607
 
6.1%
ValueCountFrequency (%)
0 7223
72.2%
1 1202
 
12.0%
2 339
 
3.4%
3 194
 
1.9%
4 118
 
1.2%
5 99
 
1.0%
6 61
 
0.6%
7 63
 
0.6%
8 49
 
0.5%
9 45
 
0.4%
ValueCountFrequency (%)
305 1
< 0.1%
296 1
< 0.1%
279 1
< 0.1%
193 1
< 0.1%
177 1
< 0.1%
172 1
< 0.1%
167 1
< 0.1%
165 1
< 0.1%
160 1
< 0.1%
148 2
< 0.1%

44세여자
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.437
Minimum0
Maximum315
Zeros7173
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:26.838592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum315
Range315
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.761766
Coefficient of variation (CV)4.4159894
Kurtosis197.17897
Mean2.437
Median Absolute Deviation (MAD)0
Skewness11.19325
Sum24370
Variance115.81561
MonotonicityNot monotonic
2024-04-06T17:53:27.555192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7173
71.7%
1 1174
 
11.7%
2 396
 
4.0%
3 203
 
2.0%
4 132
 
1.3%
5 85
 
0.9%
6 82
 
0.8%
8 55
 
0.5%
7 50
 
0.5%
10 38
 
0.4%
Other values (93) 612
 
6.1%
ValueCountFrequency (%)
0 7173
71.7%
1 1174
 
11.7%
2 396
 
4.0%
3 203
 
2.0%
4 132
 
1.3%
5 85
 
0.9%
6 82
 
0.8%
7 50
 
0.5%
8 55
 
0.5%
9 36
 
0.4%
ValueCountFrequency (%)
315 1
< 0.1%
272 1
< 0.1%
238 1
< 0.1%
171 1
< 0.1%
170 1
< 0.1%
169 1
< 0.1%
168 1
< 0.1%
166 1
< 0.1%
165 1
< 0.1%
155 1
< 0.1%

45세여자
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2124
Minimum0
Maximum265
Zeros7275
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:27.856811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum265
Range265
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.5542982
Coefficient of variation (CV)4.3185221
Kurtosis167.84055
Mean2.2124
Median Absolute Deviation (MAD)0
Skewness10.442813
Sum22124
Variance91.284615
MonotonicityNot monotonic
2024-04-06T17:53:28.242702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7275
72.8%
1 1160
 
11.6%
2 376
 
3.8%
3 166
 
1.7%
4 120
 
1.2%
5 93
 
0.9%
6 89
 
0.9%
7 54
 
0.5%
8 48
 
0.5%
9 46
 
0.5%
Other values (88) 573
 
5.7%
ValueCountFrequency (%)
0 7275
72.8%
1 1160
 
11.6%
2 376
 
3.8%
3 166
 
1.7%
4 120
 
1.2%
5 93
 
0.9%
6 89
 
0.9%
7 54
 
0.5%
8 48
 
0.5%
9 46
 
0.5%
ValueCountFrequency (%)
265 1
< 0.1%
222 1
< 0.1%
191 1
< 0.1%
175 1
< 0.1%
156 1
< 0.1%
151 1
< 0.1%
149 1
< 0.1%
141 1
< 0.1%
135 1
< 0.1%
123 1
< 0.1%

46세여자
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2956
Minimum0
Maximum270
Zeros7072
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:28.545712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum270
Range270
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.6941848
Coefficient of variation (CV)4.2229416
Kurtosis183.16418
Mean2.2956
Median Absolute Deviation (MAD)0
Skewness10.719487
Sum22956
Variance93.977218
MonotonicityNot monotonic
2024-04-06T17:53:28.852369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7072
70.7%
1 1296
 
13.0%
2 387
 
3.9%
3 191
 
1.9%
4 125
 
1.2%
5 89
 
0.9%
6 75
 
0.8%
7 67
 
0.7%
8 64
 
0.6%
12 44
 
0.4%
Other values (83) 590
 
5.9%
ValueCountFrequency (%)
0 7072
70.7%
1 1296
 
13.0%
2 387
 
3.9%
3 191
 
1.9%
4 125
 
1.2%
5 89
 
0.9%
6 75
 
0.8%
7 67
 
0.7%
8 64
 
0.6%
9 41
 
0.4%
ValueCountFrequency (%)
270 1
< 0.1%
257 1
< 0.1%
181 1
< 0.1%
178 1
< 0.1%
174 1
< 0.1%
157 1
< 0.1%
145 1
< 0.1%
134 1
< 0.1%
128 2
< 0.1%
126 1
< 0.1%

47세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2418
Minimum0
Maximum235
Zeros7072
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:29.104942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum235
Range235
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.2886146
Coefficient of variation (CV)4.1433734
Kurtosis146.53913
Mean2.2418
Median Absolute Deviation (MAD)0
Skewness9.7767026
Sum22418
Variance86.278361
MonotonicityNot monotonic
2024-04-06T17:53:29.397652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7072
70.7%
1 1317
 
13.2%
2 385
 
3.9%
3 194
 
1.9%
4 133
 
1.3%
5 88
 
0.9%
7 60
 
0.6%
6 59
 
0.6%
9 52
 
0.5%
11 47
 
0.5%
Other values (86) 593
 
5.9%
ValueCountFrequency (%)
0 7072
70.7%
1 1317
 
13.2%
2 385
 
3.9%
3 194
 
1.9%
4 133
 
1.3%
5 88
 
0.9%
6 59
 
0.6%
7 60
 
0.6%
8 47
 
0.5%
9 52
 
0.5%
ValueCountFrequency (%)
235 1
< 0.1%
225 1
< 0.1%
169 1
< 0.1%
165 1
< 0.1%
153 1
< 0.1%
149 1
< 0.1%
142 1
< 0.1%
130 1
< 0.1%
118 1
< 0.1%
117 1
< 0.1%

48세여자
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4015
Minimum0
Maximum256
Zeros6819
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:29.668250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum256
Range256
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.7672738
Coefficient of variation (CV)4.0671554
Kurtosis152.79897
Mean2.4015
Median Absolute Deviation (MAD)0
Skewness9.8885306
Sum24015
Variance95.399638
MonotonicityNot monotonic
2024-04-06T17:53:29.948570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6819
68.2%
1 1496
 
15.0%
2 411
 
4.1%
3 191
 
1.9%
4 118
 
1.2%
5 99
 
1.0%
6 69
 
0.7%
7 67
 
0.7%
9 65
 
0.7%
8 52
 
0.5%
Other values (87) 613
 
6.1%
ValueCountFrequency (%)
0 6819
68.2%
1 1496
 
15.0%
2 411
 
4.1%
3 191
 
1.9%
4 118
 
1.2%
5 99
 
1.0%
6 69
 
0.7%
7 67
 
0.7%
8 52
 
0.5%
9 65
 
0.7%
ValueCountFrequency (%)
256 1
< 0.1%
237 1
< 0.1%
188 1
< 0.1%
180 1
< 0.1%
170 1
< 0.1%
143 1
< 0.1%
138 1
< 0.1%
126 1
< 0.1%
124 1
< 0.1%
123 1
< 0.1%

49세여자
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6063
Minimum0
Maximum291
Zeros6678
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:30.217542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14
Maximum291
Range291
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.24414
Coefficient of variation (CV)3.9305297
Kurtosis143.3616
Mean2.6063
Median Absolute Deviation (MAD)0
Skewness9.3986188
Sum26063
Variance104.94239
MonotonicityNot monotonic
2024-04-06T17:53:30.605605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6678
66.8%
1 1487
 
14.9%
2 451
 
4.5%
3 221
 
2.2%
4 168
 
1.7%
5 95
 
0.9%
6 77
 
0.8%
7 65
 
0.7%
9 52
 
0.5%
8 50
 
0.5%
Other values (92) 656
 
6.6%
ValueCountFrequency (%)
0 6678
66.8%
1 1487
 
14.9%
2 451
 
4.5%
3 221
 
2.2%
4 168
 
1.7%
5 95
 
0.9%
6 77
 
0.8%
7 65
 
0.7%
8 50
 
0.5%
9 52
 
0.5%
ValueCountFrequency (%)
291 1
< 0.1%
211 1
< 0.1%
175 1
< 0.1%
171 1
< 0.1%
169 1
< 0.1%
165 1
< 0.1%
142 1
< 0.1%
141 1
< 0.1%
131 1
< 0.1%
120 1
< 0.1%

50세여자
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8564
Minimum0
Maximum293
Zeros6434
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:31.025962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum293
Range293
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.068696
Coefficient of variation (CV)3.8750511
Kurtosis138.57783
Mean2.8564
Median Absolute Deviation (MAD)0
Skewness9.2761462
Sum28564
Variance122.51603
MonotonicityNot monotonic
2024-04-06T17:53:31.378247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6434
64.3%
1 1629
 
16.3%
2 487
 
4.9%
3 239
 
2.4%
4 153
 
1.5%
5 95
 
0.9%
6 91
 
0.9%
7 67
 
0.7%
8 66
 
0.7%
9 51
 
0.5%
Other values (94) 688
 
6.9%
ValueCountFrequency (%)
0 6434
64.3%
1 1629
 
16.3%
2 487
 
4.9%
3 239
 
2.4%
4 153
 
1.5%
5 95
 
0.9%
6 91
 
0.9%
7 67
 
0.7%
8 66
 
0.7%
9 51
 
0.5%
ValueCountFrequency (%)
293 1
< 0.1%
255 1
< 0.1%
208 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%
152 1
< 0.1%
151 1
< 0.1%
141 1
< 0.1%
130 1
< 0.1%
127 1
< 0.1%

51세여자
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9609
Minimum0
Maximum292
Zeros6279
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:31.680130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile16
Maximum292
Range292
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.368364
Coefficient of variation (CV)3.839496
Kurtosis129.46138
Mean2.9609
Median Absolute Deviation (MAD)0
Skewness9.1160356
Sum29609
Variance129.2397
MonotonicityNot monotonic
2024-04-06T17:53:31.934442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6279
62.8%
1 1658
 
16.6%
2 564
 
5.6%
3 263
 
2.6%
4 137
 
1.4%
5 111
 
1.1%
6 93
 
0.9%
7 71
 
0.7%
8 62
 
0.6%
9 54
 
0.5%
Other values (99) 708
 
7.1%
ValueCountFrequency (%)
0 6279
62.8%
1 1658
 
16.6%
2 564
 
5.6%
3 263
 
2.6%
4 137
 
1.4%
5 111
 
1.1%
6 93
 
0.9%
7 71
 
0.7%
8 62
 
0.6%
9 54
 
0.5%
ValueCountFrequency (%)
292 1
< 0.1%
227 1
< 0.1%
215 1
< 0.1%
214 1
< 0.1%
201 1
< 0.1%
162 1
< 0.1%
161 1
< 0.1%
160 1
< 0.1%
148 1
< 0.1%
134 1
< 0.1%

52세여자
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1772
Minimum0
Maximum275
Zeros6136
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:32.216694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile17
Maximum275
Range275
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.841698
Coefficient of variation (CV)3.7270863
Kurtosis105.66191
Mean3.1772
Median Absolute Deviation (MAD)0
Skewness8.3960911
Sum31772
Variance140.22582
MonotonicityNot monotonic
2024-04-06T17:53:32.455578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6136
61.4%
1 1732
 
17.3%
2 559
 
5.6%
3 232
 
2.3%
4 175
 
1.8%
5 129
 
1.3%
6 82
 
0.8%
7 73
 
0.7%
8 63
 
0.6%
9 55
 
0.5%
Other values (105) 764
 
7.6%
ValueCountFrequency (%)
0 6136
61.4%
1 1732
 
17.3%
2 559
 
5.6%
3 232
 
2.3%
4 175
 
1.8%
5 129
 
1.3%
6 82
 
0.8%
7 73
 
0.7%
8 63
 
0.6%
9 55
 
0.5%
ValueCountFrequency (%)
275 1
< 0.1%
231 1
< 0.1%
210 1
< 0.1%
194 1
< 0.1%
186 1
< 0.1%
180 1
< 0.1%
176 1
< 0.1%
169 1
< 0.1%
164 1
< 0.1%
138 1
< 0.1%

53세여자
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3333
Minimum0
Maximum266
Zeros5855
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:32.804258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum266
Range266
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.051254
Coefficient of variation (CV)3.6154125
Kurtosis99.352111
Mean3.3333
Median Absolute Deviation (MAD)0
Skewness8.1093955
Sum33333
Variance145.23273
MonotonicityNot monotonic
2024-04-06T17:53:33.080734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5855
58.6%
1 1864
 
18.6%
2 649
 
6.5%
3 267
 
2.7%
4 154
 
1.5%
5 123
 
1.2%
6 107
 
1.1%
8 71
 
0.7%
9 67
 
0.7%
7 67
 
0.7%
Other values (107) 776
 
7.8%
ValueCountFrequency (%)
0 5855
58.6%
1 1864
 
18.6%
2 649
 
6.5%
3 267
 
2.7%
4 154
 
1.5%
5 123
 
1.2%
6 107
 
1.1%
7 67
 
0.7%
8 71
 
0.7%
9 67
 
0.7%
ValueCountFrequency (%)
266 1
< 0.1%
248 1
< 0.1%
207 1
< 0.1%
206 1
< 0.1%
194 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
149 1
< 0.1%
148 1
< 0.1%
143 1
< 0.1%

54세여자
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3946
Minimum0
Maximum258
Zeros5643
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:33.441018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum258
Range258
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.133557
Coefficient of variation (CV)3.5743703
Kurtosis102.35129
Mean3.3946
Median Absolute Deviation (MAD)0
Skewness8.2407979
Sum33946
Variance147.22321
MonotonicityNot monotonic
2024-04-06T17:53:33.730930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5643
56.4%
1 1968
 
19.7%
2 697
 
7.0%
3 292
 
2.9%
4 175
 
1.8%
5 135
 
1.4%
6 92
 
0.9%
7 80
 
0.8%
8 69
 
0.7%
10 52
 
0.5%
Other values (105) 797
 
8.0%
ValueCountFrequency (%)
0 5643
56.4%
1 1968
 
19.7%
2 697
 
7.0%
3 292
 
2.9%
4 175
 
1.8%
5 135
 
1.4%
6 92
 
0.9%
7 80
 
0.8%
8 69
 
0.7%
9 52
 
0.5%
ValueCountFrequency (%)
258 1
< 0.1%
255 1
< 0.1%
226 1
< 0.1%
207 1
< 0.1%
201 1
< 0.1%
173 1
< 0.1%
169 1
< 0.1%
164 1
< 0.1%
156 1
< 0.1%
142 1
< 0.1%

55세여자
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6664
Minimum0
Maximum286
Zeros5336
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:34.014980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20
Maximum286
Range286
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.740233
Coefficient of variation (CV)3.4748618
Kurtosis99.946075
Mean3.6664
Median Absolute Deviation (MAD)0
Skewness8.0403754
Sum36664
Variance162.31354
MonotonicityNot monotonic
2024-04-06T17:53:34.273481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5336
53.4%
1 2043
 
20.4%
2 793
 
7.9%
3 375
 
3.8%
4 187
 
1.9%
5 125
 
1.2%
6 117
 
1.2%
7 87
 
0.9%
8 65
 
0.7%
14 51
 
0.5%
Other values (107) 821
 
8.2%
ValueCountFrequency (%)
0 5336
53.4%
1 2043
 
20.4%
2 793
 
7.9%
3 375
 
3.8%
4 187
 
1.9%
5 125
 
1.2%
6 117
 
1.2%
7 87
 
0.9%
8 65
 
0.7%
9 45
 
0.4%
ValueCountFrequency (%)
286 1
 
< 0.1%
253 1
 
< 0.1%
246 1
 
< 0.1%
198 3
< 0.1%
192 1
 
< 0.1%
178 1
 
< 0.1%
158 1
 
< 0.1%
143 1
 
< 0.1%
135 1
 
< 0.1%
134 1
 
< 0.1%

56세여자
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5555
Minimum0
Maximum240
Zeros5249
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:34.521318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum240
Range240
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.278933
Coefficient of variation (CV)3.4535039
Kurtosis90.831551
Mean3.5555
Median Absolute Deviation (MAD)0
Skewness7.8583862
Sum35555
Variance150.7722
MonotonicityNot monotonic
2024-04-06T17:53:34.787557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5249
52.5%
1 2148
21.5%
2 803
 
8.0%
3 337
 
3.4%
4 188
 
1.9%
5 140
 
1.4%
6 100
 
1.0%
7 92
 
0.9%
8 69
 
0.7%
9 59
 
0.6%
Other values (105) 815
 
8.2%
ValueCountFrequency (%)
0 5249
52.5%
1 2148
21.5%
2 803
 
8.0%
3 337
 
3.4%
4 188
 
1.9%
5 140
 
1.4%
6 100
 
1.0%
7 92
 
0.9%
8 69
 
0.7%
9 59
 
0.6%
ValueCountFrequency (%)
240 1
< 0.1%
233 1
< 0.1%
218 1
< 0.1%
216 1
< 0.1%
200 1
< 0.1%
189 1
< 0.1%
177 1
< 0.1%
168 1
< 0.1%
164 1
< 0.1%
154 1
< 0.1%

57세여자
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5789
Minimum0
Maximum270
Zeros5079
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:35.040319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum270
Range270
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.17237
Coefficient of variation (CV)3.4011484
Kurtosis90.326362
Mean3.5789
Median Absolute Deviation (MAD)0
Skewness7.7509068
Sum35789
Variance148.16659
MonotonicityNot monotonic
2024-04-06T17:53:35.344526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5079
50.8%
1 2258
22.6%
2 826
 
8.3%
3 361
 
3.6%
4 200
 
2.0%
5 145
 
1.5%
6 103
 
1.0%
7 90
 
0.9%
8 70
 
0.7%
9 63
 
0.6%
Other values (105) 805
 
8.1%
ValueCountFrequency (%)
0 5079
50.8%
1 2258
22.6%
2 826
 
8.3%
3 361
 
3.6%
4 200
 
2.0%
5 145
 
1.5%
6 103
 
1.0%
7 90
 
0.9%
8 70
 
0.7%
9 63
 
0.6%
ValueCountFrequency (%)
270 1
< 0.1%
227 1
< 0.1%
201 1
< 0.1%
194 1
< 0.1%
192 1
< 0.1%
184 1
< 0.1%
171 1
< 0.1%
165 1
< 0.1%
147 2
< 0.1%
143 1
< 0.1%

58세여자
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9103
Minimum0
Maximum283
Zeros4884
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:35.613870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile20
Maximum283
Range283
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.354298
Coefficient of variation (CV)3.4151596
Kurtosis89.78443
Mean3.9103
Median Absolute Deviation (MAD)1
Skewness7.7969163
Sum39103
Variance178.33729
MonotonicityNot monotonic
2024-04-06T17:53:36.421005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4884
48.8%
1 2251
22.5%
2 909
 
9.1%
3 420
 
4.2%
4 226
 
2.3%
5 139
 
1.4%
6 101
 
1.0%
7 81
 
0.8%
9 68
 
0.7%
8 59
 
0.6%
Other values (115) 862
 
8.6%
ValueCountFrequency (%)
0 4884
48.8%
1 2251
22.5%
2 909
 
9.1%
3 420
 
4.2%
4 226
 
2.3%
5 139
 
1.4%
6 101
 
1.0%
7 81
 
0.8%
8 59
 
0.6%
9 68
 
0.7%
ValueCountFrequency (%)
283 1
< 0.1%
243 1
< 0.1%
238 1
< 0.1%
224 1
< 0.1%
217 1
< 0.1%
191 1
< 0.1%
187 1
< 0.1%
170 1
< 0.1%
163 1
< 0.1%
161 1
< 0.1%

59세여자
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0682
Minimum0
Maximum304
Zeros4773
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:36.774700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile21
Maximum304
Range304
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.069973
Coefficient of variation (CV)3.4585254
Kurtosis100.5907
Mean4.0682
Median Absolute Deviation (MAD)1
Skewness8.2013399
Sum40682
Variance197.96415
MonotonicityNot monotonic
2024-04-06T17:53:37.080699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4773
47.7%
1 2271
22.7%
2 967
 
9.7%
3 418
 
4.2%
4 191
 
1.9%
5 181
 
1.8%
6 110
 
1.1%
7 98
 
1.0%
8 72
 
0.7%
9 71
 
0.7%
Other values (123) 848
 
8.5%
ValueCountFrequency (%)
0 4773
47.7%
1 2271
22.7%
2 967
 
9.7%
3 418
 
4.2%
4 191
 
1.9%
5 181
 
1.8%
6 110
 
1.1%
7 98
 
1.0%
8 72
 
0.7%
9 71
 
0.7%
ValueCountFrequency (%)
304 1
< 0.1%
258 1
< 0.1%
255 1
< 0.1%
250 1
< 0.1%
233 1
< 0.1%
232 1
< 0.1%
224 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%
173 1
< 0.1%

60세여자
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9491
Minimum0
Maximum307
Zeros4820
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:37.383021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile20.05
Maximum307
Range307
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.754055
Coefficient of variation (CV)3.4828328
Kurtosis107.67196
Mean3.9491
Median Absolute Deviation (MAD)1
Skewness8.3930099
Sum39491
Variance189.17403
MonotonicityNot monotonic
2024-04-06T17:53:37.690548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4820
48.2%
1 2314
23.1%
2 892
 
8.9%
3 427
 
4.3%
4 213
 
2.1%
5 156
 
1.6%
6 120
 
1.2%
7 81
 
0.8%
8 74
 
0.7%
9 57
 
0.6%
Other values (116) 846
 
8.5%
ValueCountFrequency (%)
0 4820
48.2%
1 2314
23.1%
2 892
 
8.9%
3 427
 
4.3%
4 213
 
2.1%
5 156
 
1.6%
6 120
 
1.2%
7 81
 
0.8%
8 74
 
0.7%
9 57
 
0.6%
ValueCountFrequency (%)
307 1
< 0.1%
276 1
< 0.1%
248 1
< 0.1%
245 1
< 0.1%
244 1
< 0.1%
220 1
< 0.1%
216 1
< 0.1%
213 1
< 0.1%
160 1
< 0.1%
148 1
< 0.1%

61세여자
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5885
Minimum0
Maximum334
Zeros4465
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:37.972196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile23
Maximum334
Range334
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.945701
Coefficient of variation (CV)3.4751447
Kurtosis106.44078
Mean4.5885
Median Absolute Deviation (MAD)1
Skewness8.3778318
Sum45885
Variance254.26539
MonotonicityNot monotonic
2024-04-06T17:53:38.268413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4465
44.6%
1 2355
23.5%
2 1009
 
10.1%
3 456
 
4.6%
4 251
 
2.5%
5 169
 
1.7%
6 105
 
1.1%
8 95
 
0.9%
10 80
 
0.8%
7 79
 
0.8%
Other values (129) 936
 
9.4%
ValueCountFrequency (%)
0 4465
44.6%
1 2355
23.5%
2 1009
 
10.1%
3 456
 
4.6%
4 251
 
2.5%
5 169
 
1.7%
6 105
 
1.1%
7 79
 
0.8%
8 95
 
0.9%
9 68
 
0.7%
ValueCountFrequency (%)
334 1
< 0.1%
321 1
< 0.1%
306 1
< 0.1%
298 1
< 0.1%
297 1
< 0.1%
256 1
< 0.1%
226 1
< 0.1%
206 1
< 0.1%
201 1
< 0.1%
190 1
< 0.1%

62세여자
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8788
Minimum0
Maximum328
Zeros4164
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:38.578926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile24.05
Maximum328
Range328
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.707346
Coefficient of variation (CV)3.4244786
Kurtosis94.084752
Mean4.8788
Median Absolute Deviation (MAD)1
Skewness7.9883741
Sum48788
Variance279.13542
MonotonicityNot monotonic
2024-04-06T17:53:38.924752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4164
41.6%
1 2440
24.4%
2 1085
 
10.8%
3 503
 
5.0%
4 295
 
2.9%
5 186
 
1.9%
6 128
 
1.3%
8 94
 
0.9%
7 91
 
0.9%
9 70
 
0.7%
Other values (133) 944
 
9.4%
ValueCountFrequency (%)
0 4164
41.6%
1 2440
24.4%
2 1085
 
10.8%
3 503
 
5.0%
4 295
 
2.9%
5 186
 
1.9%
6 128
 
1.3%
7 91
 
0.9%
8 94
 
0.9%
9 70
 
0.7%
ValueCountFrequency (%)
328 2
< 0.1%
298 1
< 0.1%
292 1
< 0.1%
280 1
< 0.1%
275 1
< 0.1%
255 1
< 0.1%
223 1
< 0.1%
215 1
< 0.1%
203 1
< 0.1%
182 1
< 0.1%

63세여자
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6034
Minimum0
Maximum432
Zeros3821
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:39.287197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile28
Maximum432
Range432
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.402736
Coefficient of variation (CV)3.4626719
Kurtosis106.0858
Mean5.6034
Median Absolute Deviation (MAD)1
Skewness8.399728
Sum56034
Variance376.46616
MonotonicityNot monotonic
2024-04-06T17:53:39.647847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3821
38.2%
1 2414
24.1%
2 1193
 
11.9%
3 616
 
6.2%
4 334
 
3.3%
5 194
 
1.9%
6 147
 
1.5%
7 93
 
0.9%
8 74
 
0.7%
9 66
 
0.7%
Other values (153) 1048
 
10.5%
ValueCountFrequency (%)
0 3821
38.2%
1 2414
24.1%
2 1193
 
11.9%
3 616
 
6.2%
4 334
 
3.3%
5 194
 
1.9%
6 147
 
1.5%
7 93
 
0.9%
8 74
 
0.7%
9 66
 
0.7%
ValueCountFrequency (%)
432 1
< 0.1%
386 1
< 0.1%
362 1
< 0.1%
330 1
< 0.1%
329 1
< 0.1%
309 1
< 0.1%
304 1
< 0.1%
265 1
< 0.1%
263 1
< 0.1%
222 1
< 0.1%

64세여자
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4341
Minimum0
Maximum402
Zeros3823
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:39.949359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile27.05
Maximum402
Range402
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.833819
Coefficient of variation (CV)3.465858
Kurtosis99.778739
Mean5.4341
Median Absolute Deviation (MAD)1
Skewness8.2376996
Sum54341
Variance354.71273
MonotonicityNot monotonic
2024-04-06T17:53:40.234626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3823
38.2%
1 2497
25.0%
2 1223
 
12.2%
3 562
 
5.6%
4 282
 
2.8%
5 213
 
2.1%
6 143
 
1.4%
7 109
 
1.1%
8 72
 
0.7%
10 64
 
0.6%
Other values (148) 1012
 
10.1%
ValueCountFrequency (%)
0 3823
38.2%
1 2497
25.0%
2 1223
 
12.2%
3 562
 
5.6%
4 282
 
2.8%
5 213
 
2.1%
6 143
 
1.4%
7 109
 
1.1%
8 72
 
0.7%
9 63
 
0.6%
ValueCountFrequency (%)
402 1
< 0.1%
352 1
< 0.1%
343 1
< 0.1%
337 1
< 0.1%
300 1
< 0.1%
295 1
< 0.1%
290 1
< 0.1%
257 1
< 0.1%
250 1
< 0.1%
233 1
< 0.1%

65세여자
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.134
Minimum0
Maximum394
Zeros4023
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:40.516555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile25
Maximum394
Range394
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.25633
Coefficient of variation (CV)3.555966
Kurtosis112.56434
Mean5.134
Median Absolute Deviation (MAD)1
Skewness8.6967732
Sum51340
Variance333.29357
MonotonicityNot monotonic
2024-04-06T17:53:40.768240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4023
40.2%
1 2490
24.9%
2 1115
 
11.2%
3 527
 
5.3%
4 307
 
3.1%
5 198
 
2.0%
6 115
 
1.1%
7 108
 
1.1%
8 100
 
1.0%
10 59
 
0.6%
Other values (138) 958
 
9.6%
ValueCountFrequency (%)
0 4023
40.2%
1 2490
24.9%
2 1115
 
11.2%
3 527
 
5.3%
4 307
 
3.1%
5 198
 
2.0%
6 115
 
1.1%
7 108
 
1.1%
8 100
 
1.0%
9 55
 
0.5%
ValueCountFrequency (%)
394 1
< 0.1%
366 2
< 0.1%
332 1
< 0.1%
300 1
< 0.1%
298 1
< 0.1%
287 1
< 0.1%
276 1
< 0.1%
244 1
< 0.1%
227 1
< 0.1%
210 1
< 0.1%

66세여자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0886
Minimum0
Maximum438
Zeros4053
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:41.060512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile24
Maximum438
Range438
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.191999
Coefficient of variation (CV)3.57505
Kurtosis122.71991
Mean5.0886
Median Absolute Deviation (MAD)1
Skewness8.90689
Sum50886
Variance330.94884
MonotonicityNot monotonic
2024-04-06T17:53:41.293062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4053
40.5%
1 2487
24.9%
2 1153
 
11.5%
3 516
 
5.2%
4 283
 
2.8%
5 188
 
1.9%
6 124
 
1.2%
8 96
 
1.0%
7 85
 
0.9%
9 67
 
0.7%
Other values (139) 948
 
9.5%
ValueCountFrequency (%)
0 4053
40.5%
1 2487
24.9%
2 1153
 
11.5%
3 516
 
5.2%
4 283
 
2.8%
5 188
 
1.9%
6 124
 
1.2%
7 85
 
0.9%
8 96
 
1.0%
9 67
 
0.7%
ValueCountFrequency (%)
438 1
< 0.1%
379 1
< 0.1%
358 1
< 0.1%
333 1
< 0.1%
315 1
< 0.1%
306 1
< 0.1%
291 1
< 0.1%
234 1
< 0.1%
212 1
< 0.1%
197 1
< 0.1%

67세여자
Real number (ℝ)

ZEROS 

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.889
Minimum0
Maximum418
Zeros4148
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:41.556253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile24
Maximum418
Range418
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.439475
Coefficient of variation (CV)3.5670843
Kurtosis116.76137
Mean4.889
Median Absolute Deviation (MAD)1
Skewness8.7849334
Sum48890
Variance304.13529
MonotonicityNot monotonic
2024-04-06T17:53:41.824886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4148
41.5%
1 2429
24.3%
2 1120
 
11.2%
3 547
 
5.5%
4 282
 
2.8%
5 166
 
1.7%
6 135
 
1.4%
7 88
 
0.9%
8 74
 
0.7%
9 72
 
0.7%
Other values (143) 939
 
9.4%
ValueCountFrequency (%)
0 4148
41.5%
1 2429
24.3%
2 1120
 
11.2%
3 547
 
5.5%
4 282
 
2.8%
5 166
 
1.7%
6 135
 
1.4%
7 88
 
0.9%
8 74
 
0.7%
9 72
 
0.7%
ValueCountFrequency (%)
418 1
< 0.1%
350 1
< 0.1%
343 1
< 0.1%
309 1
< 0.1%
283 1
< 0.1%
264 1
< 0.1%
251 1
< 0.1%
228 1
< 0.1%
225 1
< 0.1%
216 1
< 0.1%

68세여자
Real number (ℝ)

ZEROS 

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8918
Minimum0
Maximum404
Zeros4038
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:42.200196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile24
Maximum404
Range404
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.605416
Coefficient of variation (CV)3.5989649
Kurtosis114.92301
Mean4.8918
Median Absolute Deviation (MAD)1
Skewness8.7913591
Sum48918
Variance309.95069
MonotonicityNot monotonic
2024-04-06T17:53:42.518676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4038
40.4%
1 2488
24.9%
2 1156
 
11.6%
3 577
 
5.8%
4 287
 
2.9%
5 183
 
1.8%
6 125
 
1.2%
7 92
 
0.9%
8 79
 
0.8%
9 69
 
0.7%
Other values (144) 906
 
9.1%
ValueCountFrequency (%)
0 4038
40.4%
1 2488
24.9%
2 1156
 
11.6%
3 577
 
5.8%
4 287
 
2.9%
5 183
 
1.8%
6 125
 
1.2%
7 92
 
0.9%
8 79
 
0.8%
9 69
 
0.7%
ValueCountFrequency (%)
404 1
< 0.1%
370 1
< 0.1%
338 1
< 0.1%
297 1
< 0.1%
284 1
< 0.1%
276 1
< 0.1%
275 1
< 0.1%
254 1
< 0.1%
211 1
< 0.1%
194 1
< 0.1%

69세여자
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0345
Minimum0
Maximum404
Zeros3837
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:42.784780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile24
Maximum404
Range404
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.753147
Coefficient of variation (CV)3.5262979
Kurtosis110.63992
Mean5.0345
Median Absolute Deviation (MAD)1
Skewness8.6171566
Sum50345
Variance315.17423
MonotonicityNot monotonic
2024-04-06T17:53:43.068059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3837
38.4%
1 2593
25.9%
2 1164
 
11.6%
3 592
 
5.9%
4 299
 
3.0%
5 209
 
2.1%
6 128
 
1.3%
7 96
 
1.0%
8 80
 
0.8%
9 80
 
0.8%
Other values (140) 922
 
9.2%
ValueCountFrequency (%)
0 3837
38.4%
1 2593
25.9%
2 1164
 
11.6%
3 592
 
5.9%
4 299
 
3.0%
5 209
 
2.1%
6 128
 
1.3%
7 96
 
1.0%
8 80
 
0.8%
9 80
 
0.8%
ValueCountFrequency (%)
404 1
< 0.1%
369 1
< 0.1%
335 1
< 0.1%
304 1
< 0.1%
276 1
< 0.1%
267 1
< 0.1%
261 1
< 0.1%
260 1
< 0.1%
253 1
< 0.1%
190 1
< 0.1%

70세여자
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0375
Minimum0
Maximum305
Zeros4363
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:43.349937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile19
Maximum305
Range305
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.354048
Coefficient of variation (CV)3.5551822
Kurtosis109.3428
Mean4.0375
Median Absolute Deviation (MAD)1
Skewness8.6356912
Sum40375
Variance206.0387
MonotonicityNot monotonic
2024-04-06T17:53:43.627756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4363
43.6%
1 2492
24.9%
2 1133
 
11.3%
3 448
 
4.5%
4 262
 
2.6%
5 158
 
1.6%
6 107
 
1.1%
7 100
 
1.0%
8 71
 
0.7%
9 60
 
0.6%
Other values (121) 806
 
8.1%
ValueCountFrequency (%)
0 4363
43.6%
1 2492
24.9%
2 1133
 
11.3%
3 448
 
4.5%
4 262
 
2.6%
5 158
 
1.6%
6 107
 
1.1%
7 100
 
1.0%
8 71
 
0.7%
9 60
 
0.6%
ValueCountFrequency (%)
305 1
< 0.1%
298 1
< 0.1%
274 1
< 0.1%
261 1
< 0.1%
245 1
< 0.1%
224 1
< 0.1%
206 1
< 0.1%
187 1
< 0.1%
185 1
< 0.1%
180 1
< 0.1%

71세여자
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4265
Minimum0
Maximum312
Zeros4013
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:43.904979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile20
Maximum312
Range312
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.477253
Coefficient of variation (CV)3.496499
Kurtosis98.126116
Mean4.4265
Median Absolute Deviation (MAD)1
Skewness8.3038918
Sum44265
Variance239.54535
MonotonicityNot monotonic
2024-04-06T17:53:44.180364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4013
40.1%
1 2519
25.2%
2 1180
 
11.8%
3 591
 
5.9%
4 306
 
3.1%
5 183
 
1.8%
6 147
 
1.5%
7 85
 
0.9%
9 66
 
0.7%
8 62
 
0.6%
Other values (131) 848
 
8.5%
ValueCountFrequency (%)
0 4013
40.1%
1 2519
25.2%
2 1180
 
11.8%
3 591
 
5.9%
4 306
 
3.1%
5 183
 
1.8%
6 147
 
1.5%
7 85
 
0.9%
8 62
 
0.6%
9 66
 
0.7%
ValueCountFrequency (%)
312 1
< 0.1%
311 1
< 0.1%
290 1
< 0.1%
253 1
< 0.1%
243 1
< 0.1%
230 1
< 0.1%
218 1
< 0.1%
203 2
< 0.1%
184 1
< 0.1%
182 1
< 0.1%

72세여자
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7973
Minimum0
Maximum285
Zeros4280
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:44.504270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile17
Maximum285
Range285
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.180667
Coefficient of variation (CV)3.4710629
Kurtosis105.91257
Mean3.7973
Median Absolute Deviation (MAD)1
Skewness8.5229096
Sum37973
Variance173.72999
MonotonicityNot monotonic
2024-04-06T17:53:45.257712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4280
42.8%
1 2518
25.2%
2 1135
 
11.3%
3 521
 
5.2%
4 279
 
2.8%
5 163
 
1.6%
6 119
 
1.2%
7 86
 
0.9%
8 74
 
0.7%
9 62
 
0.6%
Other values (113) 763
 
7.6%
ValueCountFrequency (%)
0 4280
42.8%
1 2518
25.2%
2 1135
 
11.3%
3 521
 
5.2%
4 279
 
2.8%
5 163
 
1.6%
6 119
 
1.2%
7 86
 
0.9%
8 74
 
0.7%
9 62
 
0.6%
ValueCountFrequency (%)
285 1
< 0.1%
271 1
< 0.1%
248 1
< 0.1%
227 1
< 0.1%
207 1
< 0.1%
201 1
< 0.1%
185 1
< 0.1%
180 1
< 0.1%
175 1
< 0.1%
157 1
< 0.1%

73세여자
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6753
Minimum0
Maximum279
Zeros4280
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:45.492743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile17
Maximum279
Range279
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.681457
Coefficient of variation (CV)3.4504549
Kurtosis109.34831
Mean3.6753
Median Absolute Deviation (MAD)1
Skewness8.6128408
Sum36753
Variance160.81935
MonotonicityNot monotonic
2024-04-06T17:53:45.771416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4280
42.8%
1 2552
25.5%
2 1145
 
11.5%
3 498
 
5.0%
4 282
 
2.8%
5 164
 
1.6%
6 115
 
1.1%
7 98
 
1.0%
8 63
 
0.6%
9 53
 
0.5%
Other values (108) 750
 
7.5%
ValueCountFrequency (%)
0 4280
42.8%
1 2552
25.5%
2 1145
 
11.5%
3 498
 
5.0%
4 282
 
2.8%
5 164
 
1.6%
6 115
 
1.1%
7 98
 
1.0%
8 63
 
0.6%
9 53
 
0.5%
ValueCountFrequency (%)
279 1
< 0.1%
254 1
< 0.1%
242 1
< 0.1%
234 1
< 0.1%
216 1
< 0.1%
188 1
< 0.1%
174 2
< 0.1%
171 1
< 0.1%
149 2
< 0.1%
146 1
< 0.1%

74세여자
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0022
Minimum0
Maximum293
Zeros4002
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:46.053436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile18
Maximum293
Range293
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.798008
Coefficient of variation (CV)3.4476059
Kurtosis106.06276
Mean4.0022
Median Absolute Deviation (MAD)1
Skewness8.5713156
Sum40022
Variance190.38503
MonotonicityNot monotonic
2024-04-06T17:53:46.346924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4002
40.0%
1 2616
26.2%
2 1223
 
12.2%
3 554
 
5.5%
4 292
 
2.9%
5 174
 
1.7%
6 130
 
1.3%
7 95
 
0.9%
8 68
 
0.7%
9 58
 
0.6%
Other values (120) 788
 
7.9%
ValueCountFrequency (%)
0 4002
40.0%
1 2616
26.2%
2 1223
 
12.2%
3 554
 
5.5%
4 292
 
2.9%
5 174
 
1.7%
6 130
 
1.3%
7 95
 
0.9%
8 68
 
0.7%
9 58
 
0.6%
ValueCountFrequency (%)
293 1
< 0.1%
277 1
< 0.1%
249 1
< 0.1%
242 1
< 0.1%
236 1
< 0.1%
203 1
< 0.1%
202 1
< 0.1%
201 1
< 0.1%
179 2
< 0.1%
165 1
< 0.1%

75세여자
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0134
Minimum0
Maximum312
Zeros3981
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:46.596183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile18
Maximum312
Range312
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.801655
Coefficient of variation (CV)3.4388934
Kurtosis108.01159
Mean4.0134
Median Absolute Deviation (MAD)1
Skewness8.6052501
Sum40134
Variance190.48567
MonotonicityNot monotonic
2024-04-06T17:53:46.907202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3981
39.8%
1 2563
25.6%
2 1234
 
12.3%
3 561
 
5.6%
4 319
 
3.2%
5 191
 
1.9%
6 136
 
1.4%
7 108
 
1.1%
8 72
 
0.7%
10 55
 
0.5%
Other values (117) 780
 
7.8%
ValueCountFrequency (%)
0 3981
39.8%
1 2563
25.6%
2 1234
 
12.3%
3 561
 
5.6%
4 319
 
3.2%
5 191
 
1.9%
6 136
 
1.4%
7 108
 
1.1%
8 72
 
0.7%
9 53
 
0.5%
ValueCountFrequency (%)
312 1
< 0.1%
268 1
< 0.1%
253 1
< 0.1%
247 1
< 0.1%
233 1
< 0.1%
207 1
< 0.1%
192 1
< 0.1%
187 1
< 0.1%
178 1
< 0.1%
167 1
< 0.1%

76세여자
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1522
Minimum0
Maximum320
Zeros3715
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:47.156502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile18
Maximum320
Range320
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.05623
Coefficient of variation (CV)3.3852487
Kurtosis110.66075
Mean4.1522
Median Absolute Deviation (MAD)1
Skewness8.6635068
Sum41522
Variance197.57759
MonotonicityNot monotonic
2024-04-06T17:53:47.387130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3715
37.1%
1 2593
25.9%
2 1321
 
13.2%
3 646
 
6.5%
4 354
 
3.5%
5 224
 
2.2%
6 126
 
1.3%
7 95
 
0.9%
8 82
 
0.8%
10 52
 
0.5%
Other values (121) 792
 
7.9%
ValueCountFrequency (%)
0 3715
37.1%
1 2593
25.9%
2 1321
 
13.2%
3 646
 
6.5%
4 354
 
3.5%
5 224
 
2.2%
6 126
 
1.3%
7 95
 
0.9%
8 82
 
0.8%
9 49
 
0.5%
ValueCountFrequency (%)
320 1
< 0.1%
285 1
< 0.1%
256 1
< 0.1%
245 1
< 0.1%
239 1
< 0.1%
225 1
< 0.1%
198 1
< 0.1%
188 1
< 0.1%
178 1
< 0.1%
175 1
< 0.1%

77세여자
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9713
Minimum0
Maximum347
Zeros3760
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:47.680264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile17
Maximum347
Range347
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.533388
Coefficient of variation (CV)3.407798
Kurtosis124.93427
Mean3.9713
Median Absolute Deviation (MAD)1
Skewness9.0387291
Sum39713
Variance183.15259
MonotonicityNot monotonic
2024-04-06T17:53:47.964455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3760
37.6%
1 2642
26.4%
2 1316
 
13.2%
3 638
 
6.4%
4 340
 
3.4%
5 183
 
1.8%
6 116
 
1.2%
7 106
 
1.1%
8 75
 
0.8%
9 60
 
0.6%
Other values (118) 764
 
7.6%
ValueCountFrequency (%)
0 3760
37.6%
1 2642
26.4%
2 1316
 
13.2%
3 638
 
6.4%
4 340
 
3.4%
5 183
 
1.8%
6 116
 
1.2%
7 106
 
1.1%
8 75
 
0.8%
9 60
 
0.6%
ValueCountFrequency (%)
347 1
< 0.1%
258 1
< 0.1%
247 1
< 0.1%
245 1
< 0.1%
244 1
< 0.1%
204 1
< 0.1%
196 1
< 0.1%
185 1
< 0.1%
184 1
< 0.1%
172 1
< 0.1%

78세여자
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.065
Minimum0
Maximum254
Zeros4322
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:48.256838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile13
Maximum254
Range254
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.390167
Coefficient of variation (CV)3.3899403
Kurtosis131.15632
Mean3.065
Median Absolute Deviation (MAD)1
Skewness9.2935866
Sum30650
Variance107.95557
MonotonicityNot monotonic
2024-04-06T17:53:48.518643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4322
43.2%
1 2548
25.5%
2 1233
 
12.3%
3 555
 
5.5%
4 236
 
2.4%
5 152
 
1.5%
6 114
 
1.1%
7 91
 
0.9%
8 58
 
0.6%
9 49
 
0.5%
Other values (92) 642
 
6.4%
ValueCountFrequency (%)
0 4322
43.2%
1 2548
25.5%
2 1233
 
12.3%
3 555
 
5.5%
4 236
 
2.4%
5 152
 
1.5%
6 114
 
1.1%
7 91
 
0.9%
8 58
 
0.6%
9 49
 
0.5%
ValueCountFrequency (%)
254 1
< 0.1%
219 1
< 0.1%
204 1
< 0.1%
194 1
< 0.1%
176 1
< 0.1%
167 1
< 0.1%
159 1
< 0.1%
155 1
< 0.1%
153 1
< 0.1%
141 1
< 0.1%

79세여자
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5885
Minimum0
Maximum298
Zeros3587
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:48.771301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile15
Maximum298
Range298
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.614545
Coefficient of variation (CV)3.2366017
Kurtosis121.01533
Mean3.5885
Median Absolute Deviation (MAD)1
Skewness8.9074757
Sum35885
Variance134.89766
MonotonicityNot monotonic
2024-04-06T17:53:49.037235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3587
35.9%
1 2750
27.5%
2 1373
 
13.7%
3 652
 
6.5%
4 382
 
3.8%
5 193
 
1.9%
6 129
 
1.3%
7 105
 
1.1%
8 65
 
0.7%
9 58
 
0.6%
Other values (101) 706
 
7.1%
ValueCountFrequency (%)
0 3587
35.9%
1 2750
27.5%
2 1373
 
13.7%
3 652
 
6.5%
4 382
 
3.8%
5 193
 
1.9%
6 129
 
1.3%
7 105
 
1.1%
8 65
 
0.7%
9 58
 
0.6%
ValueCountFrequency (%)
298 1
< 0.1%
212 1
< 0.1%
210 1
< 0.1%
199 1
< 0.1%
198 1
< 0.1%
180 2
< 0.1%
171 1
< 0.1%
141 1
< 0.1%
134 2
< 0.1%
133 1
< 0.1%

80세여자
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5234
Minimum0
Maximum261
Zeros3565
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:49.312907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile15
Maximum261
Range261
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.14624
Coefficient of variation (CV)3.1634899
Kurtosis108.02569
Mean3.5234
Median Absolute Deviation (MAD)1
Skewness8.5429481
Sum35234
Variance124.23868
MonotonicityNot monotonic
2024-04-06T17:53:49.605004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3565
35.6%
1 2644
26.4%
2 1487
14.9%
3 696
 
7.0%
4 358
 
3.6%
5 205
 
2.1%
6 130
 
1.3%
7 92
 
0.9%
8 70
 
0.7%
9 53
 
0.5%
Other values (96) 700
 
7.0%
ValueCountFrequency (%)
0 3565
35.6%
1 2644
26.4%
2 1487
14.9%
3 696
 
7.0%
4 358
 
3.6%
5 205
 
2.1%
6 130
 
1.3%
7 92
 
0.9%
8 70
 
0.7%
9 53
 
0.5%
ValueCountFrequency (%)
261 1
< 0.1%
207 1
< 0.1%
195 1
< 0.1%
190 1
< 0.1%
185 1
< 0.1%
184 1
< 0.1%
183 1
< 0.1%
154 1
< 0.1%
134 1
< 0.1%
127 1
< 0.1%

81세여자
Real number (ℝ)

ZEROS 

Distinct129
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5257
Minimum0
Maximum293
Zeros2602
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:49.939547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum293
Range293
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.455945
Coefficient of variation (CV)2.9732295
Kurtosis101.25414
Mean4.5257
Median Absolute Deviation (MAD)1
Skewness8.3442312
Sum45257
Variance181.06245
MonotonicityNot monotonic
2024-04-06T17:53:50.384902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2602
26.0%
1 2496
25.0%
2 1648
16.5%
3 998
 
10.0%
4 595
 
5.9%
5 344
 
3.4%
6 198
 
2.0%
7 138
 
1.4%
8 105
 
1.1%
9 65
 
0.7%
Other values (119) 811
 
8.1%
ValueCountFrequency (%)
0 2602
26.0%
1 2496
25.0%
2 1648
16.5%
3 998
 
10.0%
4 595
 
5.9%
5 344
 
3.4%
6 198
 
2.0%
7 138
 
1.4%
8 105
 
1.1%
9 65
 
0.7%
ValueCountFrequency (%)
293 1
< 0.1%
260 1
< 0.1%
240 1
< 0.1%
230 1
< 0.1%
212 1
< 0.1%
206 1
< 0.1%
201 1
< 0.1%
198 1
< 0.1%
187 1
< 0.1%
163 1
< 0.1%

82세여자
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1372
Minimum0
Maximum254
Zeros2843
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:50.601879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16
Maximum254
Range254
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.184015
Coefficient of variation (CV)2.9449906
Kurtosis98.426666
Mean4.1372
Median Absolute Deviation (MAD)1
Skewness8.2737508
Sum41372
Variance148.45022
MonotonicityNot monotonic
2024-04-06T17:53:50.854877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2843
28.4%
1 2447
24.5%
2 1626
16.3%
3 1009
 
10.1%
4 528
 
5.3%
5 295
 
2.9%
6 197
 
2.0%
7 122
 
1.2%
8 89
 
0.9%
9 70
 
0.7%
Other values (109) 774
 
7.7%
ValueCountFrequency (%)
0 2843
28.4%
1 2447
24.5%
2 1626
16.3%
3 1009
 
10.1%
4 528
 
5.3%
5 295
 
2.9%
6 197
 
2.0%
7 122
 
1.2%
8 89
 
0.9%
9 70
 
0.7%
ValueCountFrequency (%)
254 1
< 0.1%
232 1
< 0.1%
217 1
< 0.1%
210 1
< 0.1%
203 1
< 0.1%
201 1
< 0.1%
184 1
< 0.1%
162 1
< 0.1%
145 1
< 0.1%
143 1
< 0.1%

83세여자
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4366
Minimum0
Maximum234
Zeros3257
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:51.110641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum234
Range234
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.104711
Coefficient of variation (CV)2.9403222
Kurtosis99.99005
Mean3.4366
Median Absolute Deviation (MAD)1
Skewness8.2673807
Sum34366
Variance102.10519
MonotonicityNot monotonic
2024-04-06T17:53:51.355922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3257
32.6%
1 2583
25.8%
2 1572
15.7%
3 869
 
8.7%
4 411
 
4.1%
5 248
 
2.5%
6 137
 
1.4%
7 125
 
1.2%
8 78
 
0.8%
9 63
 
0.6%
Other values (94) 657
 
6.6%
ValueCountFrequency (%)
0 3257
32.6%
1 2583
25.8%
2 1572
15.7%
3 869
 
8.7%
4 411
 
4.1%
5 248
 
2.5%
6 137
 
1.4%
7 125
 
1.2%
8 78
 
0.8%
9 63
 
0.6%
ValueCountFrequency (%)
234 1
< 0.1%
182 1
< 0.1%
170 1
< 0.1%
169 1
< 0.1%
166 1
< 0.1%
154 1
< 0.1%
136 1
< 0.1%
135 1
< 0.1%
133 1
< 0.1%
124 1
< 0.1%

84세여자
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4143
Minimum0
Maximum183
Zeros3042
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:51.529889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum183
Range183
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.4799706
Coefficient of variation (CV)2.7765488
Kurtosis87.749149
Mean3.4143
Median Absolute Deviation (MAD)1
Skewness7.8486453
Sum34143
Variance89.869842
MonotonicityNot monotonic
2024-04-06T17:53:51.735440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3042
30.4%
1 2587
25.9%
2 1662
16.6%
3 884
 
8.8%
4 473
 
4.7%
5 285
 
2.9%
6 166
 
1.7%
7 96
 
1.0%
8 80
 
0.8%
11 70
 
0.7%
Other values (90) 655
 
6.6%
ValueCountFrequency (%)
0 3042
30.4%
1 2587
25.9%
2 1662
16.6%
3 884
 
8.8%
4 473
 
4.7%
5 285
 
2.9%
6 166
 
1.7%
7 96
 
1.0%
8 80
 
0.8%
9 54
 
0.5%
ValueCountFrequency (%)
183 1
< 0.1%
177 1
< 0.1%
166 1
< 0.1%
155 1
< 0.1%
154 1
< 0.1%
149 1
< 0.1%
139 1
< 0.1%
128 1
< 0.1%
115 1
< 0.1%
110 1
< 0.1%

85세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1896
Minimum0
Maximum174
Zeros3190
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:51.952420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum174
Range174
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.9464102
Coefficient of variation (CV)2.804869
Kurtosis89.257552
Mean3.1896
Median Absolute Deviation (MAD)1
Skewness7.9639526
Sum31896
Variance80.038256
MonotonicityNot monotonic
2024-04-06T17:53:52.156913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3190
31.9%
1 2600
26.0%
2 1628
16.3%
3 890
 
8.9%
4 442
 
4.4%
5 237
 
2.4%
6 160
 
1.6%
7 101
 
1.0%
9 86
 
0.9%
8 75
 
0.8%
Other values (86) 591
 
5.9%
ValueCountFrequency (%)
0 3190
31.9%
1 2600
26.0%
2 1628
16.3%
3 890
 
8.9%
4 442
 
4.4%
5 237
 
2.4%
6 160
 
1.6%
7 101
 
1.0%
8 75
 
0.8%
9 86
 
0.9%
ValueCountFrequency (%)
174 1
< 0.1%
173 1
< 0.1%
147 1
< 0.1%
143 1
< 0.1%
141 1
< 0.1%
136 1
< 0.1%
130 1
< 0.1%
125 1
< 0.1%
122 1
< 0.1%
108 1
< 0.1%

86세여자
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7868
Minimum0
Maximum161
Zeros3468
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:52.364973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum161
Range161
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.6800159
Coefficient of variation (CV)2.7558547
Kurtosis91.969977
Mean2.7868
Median Absolute Deviation (MAD)1
Skewness7.9926607
Sum27868
Variance58.982644
MonotonicityNot monotonic
2024-04-06T17:53:53.029764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3468
34.7%
1 2720
27.2%
2 1535
15.3%
3 746
 
7.5%
4 402
 
4.0%
5 222
 
2.2%
6 143
 
1.4%
7 90
 
0.9%
8 76
 
0.8%
9 56
 
0.6%
Other values (73) 542
 
5.4%
ValueCountFrequency (%)
0 3468
34.7%
1 2720
27.2%
2 1535
15.3%
3 746
 
7.5%
4 402
 
4.0%
5 222
 
2.2%
6 143
 
1.4%
7 90
 
0.9%
8 76
 
0.8%
9 56
 
0.6%
ValueCountFrequency (%)
161 1
< 0.1%
138 1
< 0.1%
132 1
< 0.1%
126 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
116 1
< 0.1%
110 1
< 0.1%
106 1
< 0.1%
101 1
< 0.1%

87세여자
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5041
Minimum0
Maximum122
Zeros3681
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:53.344520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum122
Range122
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.7256306
Coefficient of variation (CV)2.6858474
Kurtosis79.448811
Mean2.5041
Median Absolute Deviation (MAD)1
Skewness7.6017858
Sum25041
Variance45.234107
MonotonicityNot monotonic
2024-04-06T17:53:53.715950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3681
36.8%
1 2694
26.9%
2 1521
15.2%
3 686
 
6.9%
4 386
 
3.9%
5 222
 
2.2%
6 108
 
1.1%
7 98
 
1.0%
8 73
 
0.7%
9 51
 
0.5%
Other values (67) 480
 
4.8%
ValueCountFrequency (%)
0 3681
36.8%
1 2694
26.9%
2 1521
15.2%
3 686
 
6.9%
4 386
 
3.9%
5 222
 
2.2%
6 108
 
1.1%
7 98
 
1.0%
8 73
 
0.7%
9 51
 
0.5%
ValueCountFrequency (%)
122 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%
100 2
< 0.1%
96 1
< 0.1%
90 2
< 0.1%
86 1
< 0.1%
85 2
< 0.1%
84 1
< 0.1%
82 1
< 0.1%

88세여자
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1932
Minimum0
Maximum116
Zeros3914
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:53.980627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum116
Range116
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.7945864
Coefficient of variation (CV)2.6420693
Kurtosis74.896633
Mean2.1932
Median Absolute Deviation (MAD)1
Skewness7.3539177
Sum21932
Variance33.577231
MonotonicityNot monotonic
2024-04-06T17:53:54.267406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3914
39.1%
1 2793
27.9%
2 1463
 
14.6%
3 647
 
6.5%
4 287
 
2.9%
5 185
 
1.8%
6 102
 
1.0%
7 78
 
0.8%
8 51
 
0.5%
9 50
 
0.5%
Other values (60) 430
 
4.3%
ValueCountFrequency (%)
0 3914
39.1%
1 2793
27.9%
2 1463
 
14.6%
3 647
 
6.5%
4 287
 
2.9%
5 185
 
1.8%
6 102
 
1.0%
7 78
 
0.8%
8 51
 
0.5%
9 50
 
0.5%
ValueCountFrequency (%)
116 1
< 0.1%
99 1
< 0.1%
83 1
< 0.1%
82 1
< 0.1%
80 1
< 0.1%
77 1
< 0.1%
75 1
< 0.1%
73 1
< 0.1%
71 1
< 0.1%
69 2
< 0.1%

89세여자
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8777
Minimum0
Maximum92
Zeros4309
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:54.543945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum92
Range92
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.8756866
Coefficient of variation (CV)2.5966271
Kurtosis72.203176
Mean1.8777
Median Absolute Deviation (MAD)1
Skewness7.2200922
Sum18777
Variance23.77232
MonotonicityNot monotonic
2024-04-06T17:53:54.858556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4309
43.1%
1 2765
27.7%
2 1331
 
13.3%
3 560
 
5.6%
4 257
 
2.6%
5 154
 
1.5%
6 83
 
0.8%
7 69
 
0.7%
8 55
 
0.5%
10 50
 
0.5%
Other values (53) 367
 
3.7%
ValueCountFrequency (%)
0 4309
43.1%
1 2765
27.7%
2 1331
 
13.3%
3 560
 
5.6%
4 257
 
2.6%
5 154
 
1.5%
6 83
 
0.8%
7 69
 
0.7%
8 55
 
0.5%
9 37
 
0.4%
ValueCountFrequency (%)
92 1
< 0.1%
82 1
< 0.1%
73 1
< 0.1%
69 1
< 0.1%
68 1
< 0.1%
67 1
< 0.1%
65 1
< 0.1%
62 1
< 0.1%
60 1
< 0.1%
59 1
< 0.1%

90세여자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4341
Minimum0
Maximum69
Zeros5043
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:55.153085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum69
Range69
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.7844536
Coefficient of variation (CV)2.638905
Kurtosis77.806427
Mean1.4341
Median Absolute Deviation (MAD)0
Skewness7.4249391
Sum14341
Variance14.322089
MonotonicityNot monotonic
2024-04-06T17:53:55.419678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5043
50.4%
1 2666
26.7%
2 1052
 
10.5%
3 444
 
4.4%
4 194
 
1.9%
5 99
 
1.0%
6 74
 
0.7%
7 74
 
0.7%
8 40
 
0.4%
9 37
 
0.4%
Other values (43) 277
 
2.8%
ValueCountFrequency (%)
0 5043
50.4%
1 2666
26.7%
2 1052
 
10.5%
3 444
 
4.4%
4 194
 
1.9%
5 99
 
1.0%
6 74
 
0.7%
7 74
 
0.7%
8 40
 
0.4%
9 37
 
0.4%
ValueCountFrequency (%)
69 1
< 0.1%
65 1
< 0.1%
62 1
< 0.1%
58 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
47 1
< 0.1%

91세여자
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1678
Minimum0
Maximum56
Zeros5528
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:55.685644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum56
Range56
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0256171
Coefficient of variation (CV)2.5908692
Kurtosis76.728058
Mean1.1678
Median Absolute Deviation (MAD)0
Skewness7.2785666
Sum11678
Variance9.1543586
MonotonicityNot monotonic
2024-04-06T17:53:56.018858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 5528
55.3%
1 2490
24.9%
2 963
 
9.6%
3 371
 
3.7%
4 164
 
1.6%
5 80
 
0.8%
6 61
 
0.6%
8 54
 
0.5%
7 53
 
0.5%
9 29
 
0.3%
Other values (37) 207
 
2.1%
ValueCountFrequency (%)
0 5528
55.3%
1 2490
24.9%
2 963
 
9.6%
3 371
 
3.7%
4 164
 
1.6%
5 80
 
0.8%
6 61
 
0.6%
7 53
 
0.5%
8 54
 
0.5%
9 29
 
0.3%
ValueCountFrequency (%)
56 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%
47 1
< 0.1%
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%

92세여자
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8961
Minimum0
Maximum49
Zeros6131
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:56.310140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum49
Range49
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3567054
Coefficient of variation (CV)2.629958
Kurtosis82.480827
Mean0.8961
Median Absolute Deviation (MAD)0
Skewness7.3873758
Sum8961
Variance5.5540602
MonotonicityNot monotonic
2024-04-06T17:53:56.598470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 6131
61.3%
1 2323
 
23.2%
2 771
 
7.7%
3 277
 
2.8%
4 127
 
1.3%
5 78
 
0.8%
7 49
 
0.5%
6 47
 
0.5%
8 32
 
0.3%
9 26
 
0.3%
Other values (27) 139
 
1.4%
ValueCountFrequency (%)
0 6131
61.3%
1 2323
 
23.2%
2 771
 
7.7%
3 277
 
2.8%
4 127
 
1.3%
5 78
 
0.8%
6 47
 
0.5%
7 49
 
0.5%
8 32
 
0.3%
9 26
 
0.3%
ValueCountFrequency (%)
49 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%
38 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
32 1
< 0.1%
31 2
< 0.1%
30 1
< 0.1%
27 1
< 0.1%

93세여자
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6538
Minimum0
Maximum40
Zeros6883
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:56.855645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8127532
Coefficient of variation (CV)2.7726418
Kurtosis103.28372
Mean0.6538
Median Absolute Deviation (MAD)0
Skewness7.9367315
Sum6538
Variance3.2860742
MonotonicityNot monotonic
2024-04-06T17:53:57.148083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 6883
68.8%
1 1981
 
19.8%
2 564
 
5.6%
3 192
 
1.9%
4 111
 
1.1%
5 71
 
0.7%
6 39
 
0.4%
7 31
 
0.3%
8 28
 
0.3%
9 20
 
0.2%
Other values (20) 80
 
0.8%
ValueCountFrequency (%)
0 6883
68.8%
1 1981
 
19.8%
2 564
 
5.6%
3 192
 
1.9%
4 111
 
1.1%
5 71
 
0.7%
6 39
 
0.4%
7 31
 
0.3%
8 28
 
0.3%
9 20
 
0.2%
ValueCountFrequency (%)
40 1
< 0.1%
39 1
< 0.1%
35 1
< 0.1%
33 1
< 0.1%
28 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 2
< 0.1%
21 2
< 0.1%
20 1
< 0.1%

94세여자
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5194
Minimum0
Maximum27
Zeros7365
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:57.450507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4731737
Coefficient of variation (CV)2.8362989
Kurtosis74.530801
Mean0.5194
Median Absolute Deviation (MAD)0
Skewness6.9353826
Sum5194
Variance2.1702407
MonotonicityNot monotonic
2024-04-06T17:53:57.728108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 7365
73.7%
1 1732
 
17.3%
2 452
 
4.5%
3 158
 
1.6%
4 77
 
0.8%
5 55
 
0.5%
6 39
 
0.4%
7 35
 
0.4%
8 21
 
0.2%
10 17
 
0.2%
Other values (12) 49
 
0.5%
ValueCountFrequency (%)
0 7365
73.7%
1 1732
 
17.3%
2 452
 
4.5%
3 158
 
1.6%
4 77
 
0.8%
5 55
 
0.5%
6 39
 
0.4%
7 35
 
0.4%
8 21
 
0.2%
9 10
 
0.1%
ValueCountFrequency (%)
27 2
 
< 0.1%
26 2
 
< 0.1%
20 2
 
< 0.1%
19 1
 
< 0.1%
17 5
0.1%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 6
0.1%
13 6
0.1%
12 4
< 0.1%

95세여자
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3657
Minimum0
Maximum21
Zeros7924
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:58.014807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1026718
Coefficient of variation (CV)3.015236
Kurtosis76.148199
Mean0.3657
Median Absolute Deviation (MAD)0
Skewness6.9833907
Sum3657
Variance1.2158851
MonotonicityNot monotonic
2024-04-06T17:53:58.394894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 7924
79.2%
1 1453
 
14.5%
2 308
 
3.1%
3 118
 
1.2%
4 76
 
0.8%
5 38
 
0.4%
6 25
 
0.2%
7 14
 
0.1%
8 9
 
0.1%
10 8
 
0.1%
Other values (9) 27
 
0.3%
ValueCountFrequency (%)
0 7924
79.2%
1 1453
 
14.5%
2 308
 
3.1%
3 118
 
1.2%
4 76
 
0.8%
5 38
 
0.4%
6 25
 
0.2%
7 14
 
0.1%
8 9
 
0.1%
9 7
 
0.1%
ValueCountFrequency (%)
21 2
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 3
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%
11 8
0.1%
10 8
0.1%
9 7
0.1%

96세여자
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2702
Minimum0
Maximum16
Zeros8358
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:58.635859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.88264935
Coefficient of variation (CV)3.2666519
Kurtosis75.172956
Mean0.2702
Median Absolute Deviation (MAD)0
Skewness7.0034152
Sum2702
Variance0.77906987
MonotonicityNot monotonic
2024-04-06T17:53:58.962434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8358
83.6%
1 1188
 
11.9%
2 242
 
2.4%
3 81
 
0.8%
4 45
 
0.4%
5 32
 
0.3%
6 17
 
0.2%
7 15
 
0.1%
8 6
 
0.1%
10 4
 
< 0.1%
Other values (7) 12
 
0.1%
ValueCountFrequency (%)
0 8358
83.6%
1 1188
 
11.9%
2 242
 
2.4%
3 81
 
0.8%
4 45
 
0.4%
5 32
 
0.3%
6 17
 
0.2%
7 15
 
0.1%
8 6
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 2
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 1
 
< 0.1%
11 2
 
< 0.1%
10 4
 
< 0.1%
9 2
 
< 0.1%
8 6
 
0.1%
7 15
0.1%

97세여자
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1736
Minimum0
Maximum13
Zeros8790
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:59.242556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60373793
Coefficient of variation (CV)3.4777531
Kurtosis74.526929
Mean0.1736
Median Absolute Deviation (MAD)0
Skewness6.712644
Sum1736
Variance0.36449949
MonotonicityNot monotonic
2024-04-06T17:53:59.508115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8790
87.9%
1 932
 
9.3%
2 166
 
1.7%
3 53
 
0.5%
4 27
 
0.3%
5 15
 
0.1%
6 8
 
0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 8790
87.9%
1 932
 
9.3%
2 166
 
1.7%
3 53
 
0.5%
4 27
 
0.3%
5 15
 
0.1%
6 8
 
0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
6 8
 
0.1%
5 15
 
0.1%
4 27
0.3%
3 53
0.5%

98세여자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1055
Minimum0
Maximum7
Zeros9192
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:53:59.821200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41229449
Coefficient of variation (CV)3.9080047
Kurtosis46.984396
Mean0.1055
Median Absolute Deviation (MAD)0
Skewness5.7052516
Sum1055
Variance0.16998675
MonotonicityNot monotonic
2024-04-06T17:54:00.057065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9192
91.9%
1 644
 
6.4%
2 111
 
1.1%
3 35
 
0.4%
4 11
 
0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9192
91.9%
1 644
 
6.4%
2 111
 
1.1%
3 35
 
0.4%
4 11
 
0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 3
 
< 0.1%
5 3
 
< 0.1%
4 11
 
0.1%
3 35
 
0.4%
2 111
 
1.1%
1 644
 
6.4%
0 9192
91.9%

99세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0672
Minimum0
Maximum6
Zeros9450
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:54:00.288871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31415606
Coefficient of variation (CV)4.6749414
Kurtosis63.293941
Mean0.0672
Median Absolute Deviation (MAD)0
Skewness6.6267142
Sum672
Variance0.098694029
MonotonicityNot monotonic
2024-04-06T17:54:00.591316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9450
94.5%
1 467
 
4.7%
2 57
 
0.6%
3 18
 
0.2%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9450
94.5%
1 467
 
4.7%
2 57
 
0.6%
3 18
 
0.2%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 3
 
< 0.1%
4 4
 
< 0.1%
3 18
 
0.2%
2 57
 
0.6%
1 467
 
4.7%
0 9450
94.5%

100세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9568 
1
 
376
2
 
45
3
 
8
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9568
95.7%
1 376
 
3.8%
2 45
 
0.4%
3 8
 
0.1%
4 3
 
< 0.1%

Length

2024-04-06T17:54:00.819772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:01.033427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9568
95.7%
1 376
 
3.8%
2 45
 
0.4%
3 8
 
0.1%
4 3
 
< 0.1%

101세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0357
Minimum0
Maximum5
Zeros9675
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:54:01.233311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20791785
Coefficient of variation (CV)5.8240295
Kurtosis84.233396
Mean0.0357
Median Absolute Deviation (MAD)0
Skewness7.5259712
Sum357
Variance0.043229833
MonotonicityNot monotonic
2024-04-06T17:54:01.455374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9675
96.8%
1 301
 
3.0%
2 19
 
0.2%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9675
96.8%
1 301
 
3.0%
2 19
 
0.2%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
< 0.1%
2 19
 
0.2%
1 301
 
3.0%
0 9675
96.8%

102세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9798 
1
 
192
2
 
7
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9798
98.0%
1 192
 
1.9%
2 7
 
0.1%
3 3
 
< 0.1%

Length

2024-04-06T17:54:01.695608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:01.909581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9798
98.0%
1 192
 
1.9%
2 7
 
0.1%
3 3
 
< 0.1%

103세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9870 
1
 
125
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9870
98.7%
1 125
 
1.2%
2 5
 
0.1%

Length

2024-04-06T17:54:02.112704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:02.295897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9870
98.7%
1 125
 
1.2%
2 5
 
< 0.1%

104세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9928 
1
 
71
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9928
99.3%
1 71
 
0.7%
2 1
 
< 0.1%

Length

2024-04-06T17:54:02.545804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:02.736415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9928
99.3%
1 71
 
0.7%
2 1
 
< 0.1%

105세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9949 
1
 
51

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9949
99.5%
1 51
 
0.5%

Length

2024-04-06T17:54:02.956360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:03.136270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9949
99.5%
1 51
 
0.5%

106세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9972 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9972
99.7%
1 28
 
0.3%

Length

2024-04-06T17:54:03.323444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:03.508203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9972
99.7%
1 28
 
0.3%

107세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9970 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9970
99.7%
1 30
 
0.3%

Length

2024-04-06T17:54:03.701939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:03.877096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9970
99.7%
1 30
 
0.3%

108세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9979 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9979
99.8%
1 21
 
0.2%

Length

2024-04-06T17:54:04.063026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:04.237128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9979
99.8%
1 21
 
0.2%

109세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9979 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9979
99.8%
1 21
 
0.2%

Length

2024-04-06T17:54:04.424701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:04.618949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9979
99.8%
1 21
 
0.2%

110세이상 여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9972 
1
 
27
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9972
99.7%
1 27
 
0.3%
3 1
 
< 0.1%

Length

2024-04-06T17:54:04.861069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:05.075466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9972
99.7%
1 27
 
0.3%
3 1
 
< 0.1%

Sample

법정동코드기준연월시도명시군구명읍면동명리명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
1073047150112002024-03-31경상북도김천시다수동다수동248114134000000000000000000000111101122232232101311202012222433204243332231441232010221100300210000000110000000000000000000000000000000000000010030110100000021000113111200212243304243320324427403224325223534222201210100000000000000
235341273109002024-03-31경기도안산시 단원구선부동선부동133277780554700010112121143211515211313152839414015818419920019916617515813513712810912315816216915514015015017418919318719118918222116416920517615817018015715912712911786715962445047363231201925152318216111211631110100000000000000000111000154421444447141228446272819511110810011895857763545451474763595259646560817171859010511312510293124121119127137142105142121959911160908172836771734860596568643842464439302514101273521100100000000
245041360253252024-03-31경기도남양주시진접읍부평리17459567890000000000001000001012114471320162221231731131520211214111633141214132014152327241828202225291729272018191915231113991066663444031321410110111000000000000000000000000001000000010173673511111318781085738681055111281011151711131619121520212119201628171816171122914101316131299101067102788243531111010000100000
1586451150134002024-03-31강원특별자치도강릉시대전동대전동895435000000000000000000000000012013110011010100100130022121121110111050130130000000011100300000000000000000000000000000000000000000000000000001000000011100000001000001010001112011010200203010200120211021000000000000000000000000
1599051210104002024-03-31강원특별자치도속초시금호동금호동958419539000000000000000000200041315467755423834314758224355961213131499913171213166128812983479763835032322100000000000000000000000000000000000000000000210624333220214022145262122877871615101571412201812819121715139101215121112111271414231588514333330111300000000000
711744790330272024-03-31충청남도청양군정산면대박리542727000000000000000000000001000010000100000000000001002111000110111100101000012002001100101000000001000000000000000000000000000000000000000000000000000000000000000000000000000000001012011022010011112112020102100000000000000000
1833852770400302024-03-31전북특별자치도순창군구림면운북리311813000000000000000000000000000100000000000000010000110001101101010101100200010010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000100010000000000000014010010110010000000000000000
683944760390272024-03-31충청남도부여군충화면팔충리24159000000000000000000000000000100000000000000000000000110101011002101000100000000000010010100000000000000000000000000000000000000000000000000000001000001000000000000000000000001000010010000000000001100000100000100000000000000
526243770250212024-03-31충청북도음성군음성읍읍내리203310709630000000000000000002322167141412202620231312101114171013101420101515171313292034242626292621303227263434322434131914149105158975681156513134100010000000000000000000000000000000001322255761181611612748542373611699363991420181017191727152316212720272421291726172110181723202026151421201718119167633541110000000000000
1008346900320252024-03-31전라남도진도군고군면벽파리612536000000000000000000000000010000001000010000100000000000021042200211110201100000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000111000002000011301010113101132112300100010000000010000000
법정동코드기준연월시도명시군구명읍면동명리명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
313441570250212024-03-31경기도김포시통진읍도사리750432318000000000000000000001111618833671043854345461081034116513414791110101711121516191415864354245351131622111211010101010000000000000000000000000000000000110531426233232052111304420433257733912751081011972364673688553557645384641131201000000000000
166330200130002024-03-31대전광역시유성구화암동화암동8975140000000000000000000000031244911226621002211102012200000010000011020000010100000000000100000000000000000000000000000000000000000000000000210000100100000010000000000000000000002000001000000000000010000011101000000000000000000
1689951830350252024-03-31강원특별자치도양양군강현면물치리873750000000000000000000000000010110100101010010000130113011002002140102101200000000010000100000000000000000000000000000000000000000000000000000200000000000000000001000010210010112132310431103000201123010220001001000000000000000
1460448740380292024-03-31경상남도창녕군영산면봉암리753936000000000000000000000000000000000100000000000101011212110022212211212010000101030021000000000000000000000000000000000000000000000000000000000000000000001000000000021011111010002100212011100011411014100010000000000000000000
119328260101002024-03-31인천광역시서구백석동백석동11176344830000000000000000000000010527111320283126393827343033212319151311617510813778545599827644234320221011000223112121020000000000000000000000000000000000000010023387821410171511129121081458131099103671210612677697571057793521232731245478365563225310221000000000000
939046820430282024-03-31전라남도해남군화원면매월리926131000000000000000000000000000000200110000020101111030211220222222401353012212000100101000000000000000000000000000000000000000000000000000000000000100000000100000001000021011022100010000011101013212110001000100000000000000000
1150847230380482024-03-31경상북도영천시고경면칠전리21147000000000000000000000000000000000000000000000000000020000100021102010001010001000000100000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000010010100000100000020000000000000000000000
1281447840330442024-03-31경상북도성주군수륜면계정리864541000000000000000000000000000000000000000000111111000011002102221222125220100200100000000110110000000000100000000000000000000000000000000000000000000000000000000001000001010131011110103511011021211202111000001010000000000000
411043112310252024-03-31충청북도청주시 서원구남이면산막리301614000000000000000000000000000000000000000001000010002000100210001211000001000000000100000001000000000000000000000000000000000000000000000000000000000000000000100001000000001000010000020010011000001101110000000000000000000000
130728710420222024-03-31인천광역시강화군서도면아차도리1129000000000000000000000000000000000000000000000000000000001000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010011100000100010001002000000000000000000000