Overview

Dataset statistics

Number of variables231
Number of observations10000
Missing cells72
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

Numeric185
Categorical43
Text3

Dataset

Description지역별(법정동) 세대주의 성별 연령별 현황 통계데이터 입니다.법정동은 공부상의 법정주소로서 시 또는 구의 하위 행정구역으로 법률로 지정한 구역을 말하며, 문서에 표기되거나 주소에 사용됩니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15124782/fileData.do

Alerts

기준연월 has constant value ""Constant
0세남자 is highly imbalanced (99.2%)Imbalance
1세남자 is highly imbalanced (98.2%)Imbalance
2세남자 is highly imbalanced (98.3%)Imbalance
3세남자 is highly imbalanced (97.1%)Imbalance
4세남자 is highly imbalanced (96.0%)Imbalance
5세남자 is highly imbalanced (96.0%)Imbalance
6세남자 is highly imbalanced (96.4%)Imbalance
8세남자 is highly imbalanced (95.3%)Imbalance
9세남자 is highly imbalanced (93.7%)Imbalance
99세남자 is highly imbalanced (92.2%)Imbalance
100세남자 is highly imbalanced (92.6%)Imbalance
101세남자 is highly imbalanced (94.6%)Imbalance
102세남자 is highly imbalanced (96.4%)Imbalance
103세남자 is highly imbalanced (97.8%)Imbalance
104세남자 is highly imbalanced (97.9%)Imbalance
105세남자 is highly imbalanced (98.8%)Imbalance
106세남자 is highly imbalanced (99.1%)Imbalance
107세남자 is highly imbalanced (99.0%)Imbalance
108세남자 is highly imbalanced (99.5%)Imbalance
109세남자 is highly imbalanced (99.5%)Imbalance
110세이상 남자 is highly imbalanced (99.3%)Imbalance
0세여자 is highly imbalanced (99.2%)Imbalance
1세여자 is highly imbalanced (99.0%)Imbalance
2세여자 is highly imbalanced (97.1%)Imbalance
3세여자 is highly imbalanced (97.7%)Imbalance
4세여자 is highly imbalanced (96.1%)Imbalance
5세여자 is highly imbalanced (96.2%)Imbalance
6세여자 is highly imbalanced (95.6%)Imbalance
7세여자 is highly imbalanced (94.5%)Imbalance
9세여자 is highly imbalanced (94.3%)Imbalance
100세여자 is highly imbalanced (86.0%)Imbalance
101세여자 is highly imbalanced (88.1%)Imbalance
102세여자 is highly imbalanced (91.9%)Imbalance
103세여자 is highly imbalanced (92.8%)Imbalance
104세여자 is highly imbalanced (95.4%)Imbalance
105세여자 is highly imbalanced (95.1%)Imbalance
106세여자 is highly imbalanced (96.1%)Imbalance
107세여자 is highly imbalanced (97.1%)Imbalance
108세여자 is highly imbalanced (98.2%)Imbalance
109세여자 is highly imbalanced (97.7%)Imbalance
110세이상 여자 is highly imbalanced (97.8%)Imbalance
15세남자 is highly skewed (γ1 = 38.79979922)Skewed
16세남자 is highly skewed (γ1 = 43.33505082)Skewed
17세남자 is highly skewed (γ1 = 40.88585755)Skewed
18세남자 is highly skewed (γ1 = 28.52754582)Skewed
19세남자 is highly skewed (γ1 = 23.72790776)Skewed
20세남자 is highly skewed (γ1 = 26.04886824)Skewed
22세남자 is highly skewed (γ1 = 21.28312245)Skewed
23세남자 is highly skewed (γ1 = 21.38183373)Skewed
24세남자 is highly skewed (γ1 = 26.4848551)Skewed
25세남자 is highly skewed (γ1 = 31.53316242)Skewed
26세남자 is highly skewed (γ1 = 35.72910113)Skewed
27세남자 is highly skewed (γ1 = 34.76703125)Skewed
28세남자 is highly skewed (γ1 = 30.69360314)Skewed
29세남자 is highly skewed (γ1 = 26.95377224)Skewed
30세남자 is highly skewed (γ1 = 24.53376032)Skewed
15세여자 is highly skewed (γ1 = 26.92886606)Skewed
16세여자 is highly skewed (γ1 = 24.77408615)Skewed
17세여자 is highly skewed (γ1 = 23.2138737)Skewed
18세여자 is highly skewed (γ1 = 23.47082251)Skewed
22세여자 is highly skewed (γ1 = 22.75646774)Skewed
23세여자 is highly skewed (γ1 = 28.5045724)Skewed
24세여자 is highly skewed (γ1 = 32.40289457)Skewed
25세여자 is highly skewed (γ1 = 34.14463495)Skewed
26세여자 is highly skewed (γ1 = 34.21077703)Skewed
27세여자 is highly skewed (γ1 = 31.40557468)Skewed
28세여자 is highly skewed (γ1 = 28.45994885)Skewed
29세여자 is highly skewed (γ1 = 25.72823057)Skewed
30세여자 is highly skewed (γ1 = 22.02835759)Skewed
31세여자 is highly skewed (γ1 = 20.02720616)Skewed
법정동코드 has unique valuesUnique
7세남자 has 9872 (98.7%) zerosZeros
10세남자 has 9822 (98.2%) zerosZeros
11세남자 has 9798 (98.0%) zerosZeros
12세남자 has 9788 (97.9%) zerosZeros
13세남자 has 9778 (97.8%) zerosZeros
14세남자 has 9750 (97.5%) zerosZeros
15세남자 has 9682 (96.8%) zerosZeros
16세남자 has 9644 (96.4%) zerosZeros
17세남자 has 9629 (96.3%) zerosZeros
18세남자 has 9247 (92.5%) zerosZeros
19세남자 has 8855 (88.5%) zerosZeros
20세남자 has 8599 (86.0%) zerosZeros
21세남자 has 8248 (82.5%) zerosZeros
22세남자 has 7854 (78.5%) zerosZeros
23세남자 has 7410 (74.1%) zerosZeros
24세남자 has 7087 (70.9%) zerosZeros
25세남자 has 6804 (68.0%) zerosZeros
26세남자 has 6573 (65.7%) zerosZeros
27세남자 has 6361 (63.6%) zerosZeros
28세남자 has 6147 (61.5%) zerosZeros
29세남자 has 6074 (60.7%) zerosZeros
30세남자 has 5986 (59.9%) zerosZeros
31세남자 has 5880 (58.8%) zerosZeros
32세남자 has 5917 (59.2%) zerosZeros
33세남자 has 5951 (59.5%) zerosZeros
34세남자 has 5958 (59.6%) zerosZeros
35세남자 has 5932 (59.3%) zerosZeros
36세남자 has 5895 (59.0%) zerosZeros
37세남자 has 5781 (57.8%) zerosZeros
38세남자 has 5649 (56.5%) zerosZeros
39세남자 has 5538 (55.4%) zerosZeros
40세남자 has 5203 (52.0%) zerosZeros
41세남자 has 4847 (48.5%) zerosZeros
42세남자 has 4627 (46.3%) zerosZeros
43세남자 has 4588 (45.9%) zerosZeros
44세남자 has 4450 (44.5%) zerosZeros
45세남자 has 4391 (43.9%) zerosZeros
46세남자 has 4189 (41.9%) zerosZeros
47세남자 has 3930 (39.3%) zerosZeros
48세남자 has 3705 (37.0%) zerosZeros
49세남자 has 3304 (33.0%) zerosZeros
50세남자 has 2960 (29.6%) zerosZeros
51세남자 has 2736 (27.4%) zerosZeros
52세남자 has 2452 (24.5%) zerosZeros
53세남자 has 2263 (22.6%) zerosZeros
54세남자 has 2094 (20.9%) zerosZeros
55세남자 has 1802 (18.0%) zerosZeros
56세남자 has 1804 (18.0%) zerosZeros
57세남자 has 1593 (15.9%) zerosZeros
58세남자 has 1454 (14.5%) zerosZeros
59세남자 has 1364 (13.6%) zerosZeros
60세남자 has 1471 (14.7%) zerosZeros
61세남자 has 1092 (10.9%) zerosZeros
62세남자 has 1012 (10.1%) zerosZeros
63세남자 has 788 (7.9%) zerosZeros
64세남자 has 871 (8.7%) zerosZeros
65세남자 has 932 (9.3%) zerosZeros
66세남자 has 960 (9.6%) zerosZeros
67세남자 has 1067 (10.7%) zerosZeros
68세남자 has 1089 (10.9%) zerosZeros
69세남자 has 1011 (10.1%) zerosZeros
70세남자 has 1471 (14.7%) zerosZeros
71세남자 has 1359 (13.6%) zerosZeros
72세남자 has 1585 (15.8%) zerosZeros
73세남자 has 1804 (18.0%) zerosZeros
74세남자 has 1711 (17.1%) zerosZeros
75세남자 has 1703 (17.0%) zerosZeros
76세남자 has 1781 (17.8%) zerosZeros
77세남자 has 2066 (20.7%) zerosZeros
78세남자 has 2953 (29.5%) zerosZeros
79세남자 has 2708 (27.1%) zerosZeros
80세남자 has 2970 (29.7%) zerosZeros
81세남자 has 2177 (21.8%) zerosZeros
82세남자 has 2558 (25.6%) zerosZeros
83세남자 has 3263 (32.6%) zerosZeros
84세남자 has 3254 (32.5%) zerosZeros
85세남자 has 3627 (36.3%) zerosZeros
86세남자 has 4226 (42.3%) zerosZeros
87세남자 has 4488 (44.9%) zerosZeros
88세남자 has 5134 (51.3%) zerosZeros
89세남자 has 5767 (57.7%) zerosZeros
90세남자 has 6516 (65.2%) zerosZeros
91세남자 has 7129 (71.3%) zerosZeros
92세남자 has 7698 (77.0%) zerosZeros
93세남자 has 8284 (82.8%) zerosZeros
94세남자 has 8619 (86.2%) zerosZeros
95세남자 has 8972 (89.7%) zerosZeros
96세남자 has 9248 (92.5%) zerosZeros
97세남자 has 9530 (95.3%) zerosZeros
98세남자 has 9680 (96.8%) zerosZeros
8세여자 has 9840 (98.4%) zerosZeros
10세여자 has 9806 (98.1%) zerosZeros
11세여자 has 9803 (98.0%) zerosZeros
12세여자 has 9816 (98.2%) zerosZeros
13세여자 has 9773 (97.7%) zerosZeros
14세여자 has 9773 (97.7%) zerosZeros
15세여자 has 9716 (97.2%) zerosZeros
16세여자 has 9645 (96.5%) zerosZeros
17세여자 has 9637 (96.4%) zerosZeros
18세여자 has 9301 (93.0%) zerosZeros
19세여자 has 8929 (89.3%) zerosZeros
20세여자 has 8640 (86.4%) zerosZeros
21세여자 has 8401 (84.0%) zerosZeros
22세여자 has 8131 (81.3%) zerosZeros
23세여자 has 7830 (78.3%) zerosZeros
24세여자 has 7551 (75.5%) zerosZeros
25세여자 has 7369 (73.7%) zerosZeros
26세여자 has 7231 (72.3%) zerosZeros
27세여자 has 7143 (71.4%) zerosZeros
28세여자 has 7024 (70.2%) zerosZeros
29세여자 has 7003 (70.0%) zerosZeros
30세여자 has 7052 (70.5%) zerosZeros
31세여자 has 6945 (69.5%) zerosZeros
32세여자 has 6946 (69.5%) zerosZeros
33세여자 has 7036 (70.4%) zerosZeros
34세여자 has 7060 (70.6%) zerosZeros
35세여자 has 7053 (70.5%) zerosZeros
36세여자 has 7006 (70.1%) zerosZeros
37세여자 has 6961 (69.6%) zerosZeros
38세여자 has 6923 (69.2%) zerosZeros
39세여자 has 6781 (67.8%) zerosZeros
40세여자 has 6595 (66.0%) zerosZeros
41세여자 has 6469 (64.7%) zerosZeros
42세여자 has 6351 (63.5%) zerosZeros
43세여자 has 6358 (63.6%) zerosZeros
44세여자 has 6328 (63.3%) zerosZeros
45세여자 has 6409 (64.1%) zerosZeros
46세여자 has 6184 (61.8%) zerosZeros
47세여자 has 6212 (62.1%) zerosZeros
48세여자 has 5894 (58.9%) zerosZeros
49세여자 has 5660 (56.6%) zerosZeros
50세여자 has 5404 (54.0%) zerosZeros
51세여자 has 5324 (53.2%) zerosZeros
52세여자 has 5134 (51.3%) zerosZeros
53세여자 has 4894 (48.9%) zerosZeros
54세여자 has 4686 (46.9%) zerosZeros
55세여자 has 4379 (43.8%) zerosZeros
56세여자 has 4255 (42.5%) zerosZeros
57세여자 has 4187 (41.9%) zerosZeros
58세여자 has 3951 (39.5%) zerosZeros
59세여자 has 3889 (38.9%) zerosZeros
60세여자 has 3962 (39.6%) zerosZeros
61세여자 has 3499 (35.0%) zerosZeros
62세여자 has 3222 (32.2%) zerosZeros
63세여자 has 2985 (29.8%) zerosZeros
64세여자 has 3042 (30.4%) zerosZeros
65세여자 has 3304 (33.0%) zerosZeros
66세여자 has 3232 (32.3%) zerosZeros
67세여자 has 3308 (33.1%) zerosZeros
68세여자 has 3301 (33.0%) zerosZeros
69세여자 has 3190 (31.9%) zerosZeros
70세여자 has 3612 (36.1%) zerosZeros
71세여자 has 3370 (33.7%) zerosZeros
72세여자 has 3566 (35.7%) zerosZeros
73세여자 has 3615 (36.1%) zerosZeros
74세여자 has 3358 (33.6%) zerosZeros
75세여자 has 3304 (33.0%) zerosZeros
76세여자 has 3117 (31.2%) zerosZeros
77세여자 has 3230 (32.3%) zerosZeros
78세여자 has 3648 (36.5%) zerosZeros
79세여자 has 2946 (29.5%) zerosZeros
80세여자 has 2938 (29.4%) zerosZeros
81세여자 has 2086 (20.9%) zerosZeros
82세여자 has 2214 (22.1%) zerosZeros
83세여자 has 2553 (25.5%) zerosZeros
84세여자 has 2421 (24.2%) zerosZeros
85세여자 has 2616 (26.2%) zerosZeros
86세여자 has 2817 (28.2%) zerosZeros
87세여자 has 2993 (29.9%) zerosZeros
88세여자 has 3261 (32.6%) zerosZeros
89세여자 has 3661 (36.6%) zerosZeros
90세여자 has 4400 (44.0%) zerosZeros
91세여자 has 4947 (49.5%) zerosZeros
92세여자 has 5639 (56.4%) zerosZeros
93세여자 has 6426 (64.3%) zerosZeros
94세여자 has 6986 (69.9%) zerosZeros
95세여자 has 7561 (75.6%) zerosZeros
96세여자 has 8041 (80.4%) zerosZeros
97세여자 has 8631 (86.3%) zerosZeros
98세여자 has 9041 (90.4%) zerosZeros
99세여자 has 9374 (93.7%) zerosZeros

Reproduction

Analysis started2024-04-06 08:55:46.060570
Analysis finished2024-04-06 08:55:52.267114
Duration6.21 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%
Mean4.4528302 × 109
Minimum1.1110101 × 109
Maximum5.280042 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:55:52.472296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 109
5-th percentile2.7710262 × 109
Q14.37204 × 109
median4.682038 × 109
Q34.825034 × 109
95-th percentile5.221042 × 109
Maximum5.280042 × 109
Range4.1690319 × 109
Interquartile range (IQR)4.52994 × 108

Descriptive statistics

Standard deviation7.9374131 × 108
Coefficient of variation (CV)0.17825546
Kurtosis6.3001634
Mean4.4528302 × 109
Median Absolute Deviation (MAD)2.61007 × 108
Skewness-2.3516646
Sum4.4528302 × 1013
Variance6.3002527 × 1017
MonotonicityNot monotonic
2024-04-06T17:55:52.765500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4790035041 1
 
< 0.1%
4824036033 1
 
< 0.1%
5273035024 1
 
< 0.1%
4182034525 1
 
< 0.1%
4793025028 1
 
< 0.1%
4691035025 1
 
< 0.1%
4376025024 1
 
< 0.1%
4373036027 1
 
< 0.1%
4773042028 1
 
< 0.1%
4313039023 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1111010100 1
< 0.1%
1111010200 1
< 0.1%
1111010400 1
< 0.1%
1111010600 1
< 0.1%
1111010800 1
< 0.1%
1111010900 1
< 0.1%
1111011200 1
< 0.1%
1111011300 1
< 0.1%
1111012000 1
< 0.1%
1111012200 1
< 0.1%
ValueCountFrequency (%)
5280042028 1
< 0.1%
5280042027 1
< 0.1%
5280042024 1
< 0.1%
5280042023 1
< 0.1%
5280042021 1
< 0.1%
5280041026 1
< 0.1%
5280041022 1
< 0.1%
5280041021 1
< 0.1%
5280040025 1
< 0.1%
5280040023 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

2024-04-06T17:55:52.996156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:53.182312image/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
1565 
전라남도
1472 
충청남도
1174 
경상남도
1161 
경기도
1029 
Other values (12)
3599 

Length

Max length7
Median length4
Mean length4.5411
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도
2nd row경기도
3rd row경기도
4th row전라남도
5th row전북특별자치도

Common Values

ValueCountFrequency (%)
경상북도 1565
15.7%
전라남도 1472
14.7%
충청남도 1174
11.7%
경상남도 1161
11.6%
경기도 1029
10.3%
전북특별자치도 935
9.3%
충청북도 773
7.7%
강원특별자치도 698
7.0%
서울특별시 254
 
2.5%
대구광역시 191
 
1.9%
Other values (7) 748
7.5%

Length

2024-04-06T17:55:53.415974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 1565
15.7%
전라남도 1472
14.7%
충청남도 1174
11.7%
경상남도 1161
11.6%
경기도 1029
10.3%
전북특별자치도 935
9.3%
충청북도 773
7.7%
강원특별자치도 698
7.0%
서울특별시 254
 
2.5%
대구광역시 191
 
1.9%
Other values (7) 748
7.5%
Distinct229
Distinct (%)2.3%
Missing72
Missing (%)0.7%
Memory size156.2 KiB
2024-04-06T17:55:54.025490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2838437
Min length2

Characters and Unicode

Total characters32602
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 row예천군
2nd row안성시
3rd row용인시 처인구
4th row장성군
5th row부안군
ValueCountFrequency (%)
창원시 163
 
1.5%
청주시 159
 
1.5%
중구 150
 
1.4%
상주시 136
 
1.3%
공주시 123
 
1.2%
안동시 122
 
1.1%
북구 118
 
1.1%
포항시 117
 
1.1%
고성군 107
 
1.0%
나주시 105
 
1.0%
Other values (229) 9375
87.8%
2024-04-06T17:55:54.994383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4844
 
14.9%
4464
 
13.7%
1650
 
5.1%
1421
 
4.4%
1196
 
3.7%
1030
 
3.2%
1025
 
3.1%
761
 
2.3%
747
 
2.3%
649
 
2.0%
Other values (133) 14815
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31855
97.7%
Space Separator 747
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4844
 
15.2%
4464
 
14.0%
1650
 
5.2%
1421
 
4.5%
1196
 
3.8%
1030
 
3.2%
1025
 
3.2%
761
 
2.4%
649
 
2.0%
569
 
1.8%
Other values (132) 14246
44.7%
Space Separator
ValueCountFrequency (%)
747
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31855
97.7%
Common 747
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4844
 
15.2%
4464
 
14.0%
1650
 
5.2%
1421
 
4.5%
1196
 
3.8%
1030
 
3.2%
1025
 
3.2%
761
 
2.4%
649
 
2.0%
569
 
1.8%
Other values (132) 14246
44.7%
Common
ValueCountFrequency (%)
747
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31855
97.7%
ASCII 747
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4844
 
15.2%
4464
 
14.0%
1650
 
5.2%
1421
 
4.5%
1196
 
3.8%
1030
 
3.2%
1025
 
3.2%
761
 
2.4%
649
 
2.0%
569
 
1.8%
Other values (132) 14246
44.7%
ASCII
ValueCountFrequency (%)
747
100.0%
Distinct2813
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:55:55.704090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0465
Min length2

Characters and Unicode

Total characters30465
Distinct characters353
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

Unique1404 ?
Unique (%)14.0%

Sample

1st row보문면
2nd row고삼면
3rd row이동읍
4th row동화면
5th row부안읍
ValueCountFrequency (%)
남면 54
 
0.5%
북면 41
 
0.4%
서면 38
 
0.4%
금성면 30
 
0.3%
용산면 23
 
0.2%
대산면 23
 
0.2%
동면 23
 
0.2%
화산면 23
 
0.2%
성산면 22
 
0.2%
군북면 22
 
0.2%
Other values (2803) 9701
97.0%
2024-04-06T17:55:56.699494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6441
 
21.1%
2311
 
7.6%
1664
 
5.5%
968
 
3.2%
526
 
1.7%
502
 
1.6%
487
 
1.6%
407
 
1.3%
407
 
1.3%
360
 
1.2%
Other values (343) 16392
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30230
99.2%
Decimal Number 235
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6441
 
21.3%
2311
 
7.6%
1664
 
5.5%
968
 
3.2%
526
 
1.7%
502
 
1.7%
487
 
1.6%
407
 
1.3%
407
 
1.3%
360
 
1.2%
Other values (335) 16157
53.4%
Decimal Number
ValueCountFrequency (%)
1 73
31.1%
2 72
30.6%
3 47
20.0%
4 23
 
9.8%
5 10
 
4.3%
6 8
 
3.4%
8 1
 
0.4%
7 1
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30230
99.2%
Common 235
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6441
 
21.3%
2311
 
7.6%
1664
 
5.5%
968
 
3.2%
526
 
1.7%
502
 
1.7%
487
 
1.6%
407
 
1.3%
407
 
1.3%
360
 
1.2%
Other values (335) 16157
53.4%
Common
ValueCountFrequency (%)
1 73
31.1%
2 72
30.6%
3 47
20.0%
4 23
 
9.8%
5 10
 
4.3%
6 8
 
3.4%
8 1
 
0.4%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30230
99.2%
ASCII 235
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6441
 
21.3%
2311
 
7.6%
1664
 
5.5%
968
 
3.2%
526
 
1.7%
502
 
1.7%
487
 
1.6%
407
 
1.3%
407
 
1.3%
360
 
1.2%
Other values (335) 16157
53.4%
ASCII
ValueCountFrequency (%)
1 73
31.1%
2 72
30.6%
3 47
20.0%
4 23
 
9.8%
5 10
 
4.3%
6 8
 
3.4%
8 1
 
0.4%
7 1
 
0.4%

리명
Text

Distinct6215
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:55:57.390497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0304
Min length2

Characters and Unicode

Total characters30304
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

Unique4641 ?
Unique (%)46.4%

Sample

1st row우래리
2nd row가유리
3rd row송전리
4th row구림리
5th row옹중리
ValueCountFrequency (%)
대곡리 23
 
0.2%
신촌리 21
 
0.2%
금곡리 20
 
0.2%
송정리 18
 
0.2%
동산리 18
 
0.2%
신흥리 17
 
0.2%
덕산리 17
 
0.2%
신월리 16
 
0.2%
신평리 16
 
0.2%
용산리 16
 
0.2%
Other values (6205) 9818
98.2%
2024-04-06T17:55:58.402574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8127
26.8%
2294
 
7.6%
785
 
2.6%
588
 
1.9%
473
 
1.6%
460
 
1.5%
419
 
1.4%
410
 
1.4%
386
 
1.3%
326
 
1.1%
Other values (376) 16036
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30059
99.2%
Decimal Number 239
 
0.8%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8127
27.0%
2294
 
7.6%
785
 
2.6%
588
 
2.0%
473
 
1.6%
460
 
1.5%
419
 
1.4%
410
 
1.4%
386
 
1.3%
326
 
1.1%
Other values (366) 15791
52.5%
Decimal Number
ValueCountFrequency (%)
1 75
31.4%
2 74
31.0%
3 47
19.7%
4 23
 
9.6%
5 10
 
4.2%
6 8
 
3.3%
7 1
 
0.4%
8 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30053
99.2%
Common 245
 
0.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8127
27.0%
2294
 
7.6%
785
 
2.6%
588
 
2.0%
473
 
1.6%
460
 
1.5%
419
 
1.4%
410
 
1.4%
386
 
1.3%
326
 
1.1%
Other values (360) 15785
52.5%
Common
ValueCountFrequency (%)
1 75
30.6%
2 74
30.2%
3 47
19.2%
4 23
 
9.4%
5 10
 
4.1%
6 8
 
3.3%
( 3
 
1.2%
) 3
 
1.2%
7 1
 
0.4%
8 1
 
0.4%
Han
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30053
99.2%
ASCII 245
 
0.8%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8127
27.0%
2294
 
7.6%
785
 
2.6%
588
 
2.0%
473
 
1.6%
460
 
1.5%
419
 
1.4%
410
 
1.4%
386
 
1.3%
326
 
1.1%
Other values (360) 15785
52.5%
ASCII
ValueCountFrequency (%)
1 75
30.6%
2 74
30.2%
3 47
19.2%
4 23
 
9.4%
5 10
 
4.1%
6 8
 
3.3%
( 3
 
1.2%
) 3
 
1.2%
7 1
 
0.4%
8 1
 
0.4%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%


Real number (ℝ)

Distinct2105
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1310.4166
Minimum1
Maximum148474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:55:58.690120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41
Q192
median156
Q3343
95-th percentile6699.35
Maximum148474
Range148473
Interquartile range (IQR)251

Descriptive statistics

Standard deviation4961.46
Coefficient of variation (CV)3.78617
Kurtosis164.46901
Mean1310.4166
Median Absolute Deviation (MAD)81
Skewness9.6954121
Sum13104166
Variance24616085
MonotonicityNot monotonic
2024-04-06T17:55:59.006952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84 62
 
0.6%
88 53
 
0.5%
101 53
 
0.5%
82 52
 
0.5%
61 52
 
0.5%
104 52
 
0.5%
80 51
 
0.5%
92 51
 
0.5%
76 51
 
0.5%
112 50
 
0.5%
Other values (2095) 9473
94.7%
ValueCountFrequency (%)
1 21
0.2%
2 11
0.1%
3 11
0.1%
4 5
 
0.1%
5 5
 
0.1%
6 8
 
0.1%
7 4
 
< 0.1%
8 4
 
< 0.1%
9 9
0.1%
10 11
0.1%
ValueCountFrequency (%)
148474 1
< 0.1%
127797 1
< 0.1%
77081 1
< 0.1%
70143 1
< 0.1%
68003 1
< 0.1%
61749 1
< 0.1%
60835 1
< 0.1%
59626 1
< 0.1%
57202 1
< 0.1%
54890 1
< 0.1%

남자
Real number (ℝ)

Distinct1833
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean847.6866
Minimum0
Maximum91492
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:55:59.377033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q159
median102
Q3225
95-th percentile4361.15
Maximum91492
Range91492
Interquartile range (IQR)166

Descriptive statistics

Standard deviation3162.4441
Coefficient of variation (CV)3.7306761
Kurtosis143.24025
Mean847.6866
Median Absolute Deviation (MAD)55
Skewness9.1856873
Sum8476866
Variance10001053
MonotonicityNot monotonic
2024-04-06T17:55:59.680465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 84
 
0.8%
72 81
 
0.8%
74 80
 
0.8%
44 76
 
0.8%
54 76
 
0.8%
45 75
 
0.8%
56 75
 
0.8%
48 75
 
0.8%
75 74
 
0.7%
59 74
 
0.7%
Other values (1823) 9230
92.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 25
0.2%
2 13
0.1%
3 14
0.1%
4 4
 
< 0.1%
5 9
 
0.1%
6 12
0.1%
7 12
0.1%
8 12
0.1%
9 10
 
0.1%
ValueCountFrequency (%)
91492 1
< 0.1%
73508 1
< 0.1%
54173 1
< 0.1%
43969 1
< 0.1%
41769 1
< 0.1%
40332 1
< 0.1%
40022 1
< 0.1%
38154 1
< 0.1%
37416 1
< 0.1%
36301 1
< 0.1%

여자
Real number (ℝ)

Distinct1485
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462.73
Minimum0
Maximum56982
Zeros44
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:55:59.964633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q132
median54
Q3115
95-th percentile2323.15
Maximum56982
Range56982
Interquartile range (IQR)83

Descriptive statistics

Standard deviation1821.6959
Coefficient of variation (CV)3.9368442
Kurtosis213.02573
Mean462.73
Median Absolute Deviation (MAD)28
Skewness10.8549
Sum4627300
Variance3318576.1
MonotonicityNot monotonic
2024-04-06T17:56:00.567790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 149
 
1.5%
31 146
 
1.5%
34 140
 
1.4%
39 138
 
1.4%
30 134
 
1.3%
33 133
 
1.3%
27 133
 
1.3%
26 132
 
1.3%
36 128
 
1.3%
35 126
 
1.3%
Other values (1475) 8641
86.4%
ValueCountFrequency (%)
0 44
0.4%
1 26
0.3%
2 20
0.2%
3 25
0.2%
4 26
0.3%
5 21
0.2%
6 32
0.3%
7 27
0.3%
8 34
0.3%
9 35
0.4%
ValueCountFrequency (%)
56982 1
< 0.1%
54289 1
< 0.1%
28374 1
< 0.1%
27671 1
< 0.1%
23419 1
< 0.1%
22908 1
< 0.1%
21806 1
< 0.1%
21727 1
< 0.1%
20013 1
< 0.1%
19736 1
< 0.1%

0세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9993 
1
 
7

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 9993
99.9%
1 7
 
0.1%

Length

2024-04-06T17:56:00.856176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:01.029091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9993
99.9%
1 7
 
0.1%

1세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9983 
1
 
17

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 9983
99.8%
1 17
 
0.2%

Length

2024-04-06T17:56:01.242210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:01.406465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9983
99.8%
1 17
 
0.2%

2세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9967 
1
 
31
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9967
99.7%
1 31
 
0.3%
2 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:56:01.611064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:01.774524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9967
99.7%
1 31
 
0.3%
2 1
 
< 0.1%
3 1
 
< 0.1%

3세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9950 
1
 
49
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 9950
99.5%
1 49
 
0.5%
2 1
 
< 0.1%

Length

2024-04-06T17:56:01.939164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:02.108320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9950
99.5%
1 49
 
0.5%
2 1
 
< 0.1%

4세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9928 
1
 
68
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 9928
99.3%
1 68
 
0.7%
2 4
 
< 0.1%

Length

2024-04-06T17:56:02.328923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:02.514477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9928
99.3%
1 68
 
0.7%
2 4
 
< 0.1%

5세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9909 
1
 
81
2
 
9
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 9909
99.1%
1 81
 
0.8%
2 9
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:56:02.712423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:02.902731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9909
99.1%
1 81
 
0.8%
2 9
 
0.1%
3 1
 
< 0.1%

6세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9906 
1
 
83
2
 
9
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9906
99.1%
1 83
 
0.8%
2 9
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%

Length

2024-04-06T17:56:03.124802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:03.436765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9906
99.1%
1 83
 
0.8%
2 9
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%

7세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0156
Minimum0
Maximum8
Zeros9872
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:03.613442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.1611187
Coefficient of variation (CV)10.328122
Kurtosis701.76476
Mean0.0156
Median Absolute Deviation (MAD)0
Skewness19.798185
Sum156
Variance0.025959236
MonotonicityNot monotonic
2024-04-06T17:56:03.837309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9872
98.7%
1 109
 
1.1%
2 16
 
0.2%
3 1
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 9872
98.7%
1 109
 
1.1%
2 16
 
0.2%
3 1
 
< 0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 16
 
0.2%
1 109
 
1.1%
0 9872
98.7%

8세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9866 
1
 
122
2
 
9
3
 
2
6
 
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 9866
98.7%
1 122
 
1.2%
2 9
 
0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%

Length

2024-04-06T17:56:04.059740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:04.268364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9866
98.7%
1 122
 
1.2%
2 9
 
0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%

9세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9847 
1
 
130
2
 
18
3
 
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 9847
98.5%
1 130
 
1.3%
2 18
 
0.2%
3 5
 
0.1%

Length

2024-04-06T17:56:04.555260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:56:04.735022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9847
98.5%
1 130
 
1.3%
2 18
 
0.2%
3 5
 
< 0.1%

10세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0218
Minimum0
Maximum6
Zeros9822
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:04.902337image/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 deviation0.18527869
Coefficient of variation (CV)8.4990225
Kurtosis290.12922
Mean0.0218
Median Absolute Deviation (MAD)0
Skewness13.548242
Sum218
Variance0.034328193
MonotonicityNot monotonic
2024-04-06T17:56:05.116467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9822
98.2%
1 150
 
1.5%
2 23
 
0.2%
6 2
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 9822
98.2%
1 150
 
1.5%
2 23
 
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 23
 
0.2%
1 150
 
1.5%
0 9822
98.2%

11세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.026
Minimum0
Maximum6
Zeros9798
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:05.321965image/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 deviation0.20181197
Coefficient of variation (CV)7.761999
Kurtosis160.4784
Mean0.026
Median Absolute Deviation (MAD)0
Skewness10.588598
Sum260
Variance0.040728073
MonotonicityNot monotonic
2024-04-06T17:56:05.506736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9798
98.0%
1 156
 
1.6%
2 38
 
0.4%
3 6
 
0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9798
98.0%
1 156
 
1.6%
2 38
 
0.4%
3 6
 
0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 6
 
0.1%
2 38
 
0.4%
1 156
 
1.6%
0 9798
98.0%

12세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0269
Minimum0
Maximum7
Zeros9788
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:05.703456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.213028
Coefficient of variation (CV)7.9192564
Kurtosis237.46746
Mean0.0269
Median Absolute Deviation (MAD)0
Skewness12.521968
Sum269
Variance0.045380928
MonotonicityNot monotonic
2024-04-06T17:56:05.915302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9788
97.9%
1 177
 
1.8%
2 23
 
0.2%
3 6
 
0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9788
97.9%
1 177
 
1.8%
2 23
 
0.2%
3 6
 
0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 1
 
< 0.1%
4 4
 
< 0.1%
3 6
 
0.1%
2 23
 
0.2%
1 177
 
1.8%
0 9788
97.9%

13세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0295
Minimum0
Maximum7
Zeros9778
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:06.095951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.22854972
Coefficient of variation (CV)7.7474481
Kurtosis209.60513
Mean0.0295
Median Absolute Deviation (MAD)0
Skewness11.88567
Sum295
Variance0.052234973
MonotonicityNot monotonic
2024-04-06T17:56:06.303091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9778
97.8%
1 176
 
1.8%
2 28
 
0.3%
3 14
 
0.1%
4 2
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9778
97.8%
1 176
 
1.8%
2 28
 
0.3%
3 14
 
0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
4 2
 
< 0.1%
3 14
 
0.1%
2 28
 
0.3%
1 176
 
1.8%
0 9778
97.8%

14세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0312
Minimum0
Maximum8
Zeros9750
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:06.536237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.23072036
Coefficient of variation (CV)7.3948832
Kurtosis261.28703
Mean0.0312
Median Absolute Deviation (MAD)0
Skewness12.737228
Sum312
Variance0.053231883
MonotonicityNot monotonic
2024-04-06T17:56:06.811513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9750
97.5%
1 215
 
2.1%
2 21
 
0.2%
3 8
 
0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9750
97.5%
1 215
 
2.1%
2 21
 
0.2%
3 8
 
0.1%
4 2
 
< 0.1%
5 3
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
3 8
 
0.1%
2 21
 
0.2%
1 215
 
2.1%
0 9750
97.5%

15세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0791
Minimum0
Maximum68
Zeros9682
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:07.031267image/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 deviation1.2530763
Coefficient of variation (CV)15.841673
Kurtosis1808.227
Mean0.0791
Median Absolute Deviation (MAD)0
Skewness38.799799
Sum791
Variance1.5702002
MonotonicityNot monotonic
2024-04-06T17:56:07.255877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9682
96.8%
1 239
 
2.4%
2 45
 
0.4%
3 10
 
0.1%
4 4
 
< 0.1%
5 4
 
< 0.1%
18 2
 
< 0.1%
65 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
Other values (11) 11
 
0.1%
ValueCountFrequency (%)
0 9682
96.8%
1 239
 
2.4%
2 45
 
0.4%
3 10
 
0.1%
4 4
 
< 0.1%
5 4
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
68 1
< 0.1%
65 1
< 0.1%
41 1
< 0.1%
35 1
< 0.1%
24 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 2
< 0.1%

16세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1019
Minimum0
Maximum104
Zeros9644
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:07.488698image/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 deviation1.6873651
Coefficient of variation (CV)16.55903
Kurtosis2277.5068
Mean0.1019
Median Absolute Deviation (MAD)0
Skewness43.335051
Sum1019
Variance2.8472011
MonotonicityNot monotonic
2024-04-06T17:56:07.746209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9644
96.4%
1 250
 
2.5%
2 61
 
0.6%
4 11
 
0.1%
3 5
 
0.1%
5 4
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
15 2
 
< 0.1%
Other values (12) 14
 
0.1%
ValueCountFrequency (%)
0 9644
96.4%
1 250
 
2.5%
2 61
 
0.6%
3 5
 
0.1%
4 11
 
0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
104 1
< 0.1%
87 1
< 0.1%
45 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
29 1
< 0.1%
24 1
< 0.1%
22 2
< 0.1%
17 1
< 0.1%
15 2
< 0.1%

17세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0998
Minimum0
Maximum85
Zeros9629
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:07.971855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6202785
Coefficient of variation (CV)16.235256
Kurtosis1892.927
Mean0.0998
Median Absolute Deviation (MAD)0
Skewness40.885858
Sum998
Variance2.6253025
MonotonicityNot monotonic
2024-04-06T17:56:08.183174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 9629
96.3%
1 253
 
2.5%
2 65
 
0.7%
3 18
 
0.2%
6 8
 
0.1%
4 7
 
0.1%
5 4
 
< 0.1%
7 3
 
< 0.1%
9 2
 
< 0.1%
12 2
 
< 0.1%
Other values (9) 9
 
0.1%
ValueCountFrequency (%)
0 9629
96.3%
1 253
 
2.5%
2 65
 
0.7%
3 18
 
0.2%
4 7
 
0.1%
5 4
 
< 0.1%
6 8
 
0.1%
7 3
 
< 0.1%
9 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
85 1
< 0.1%
82 1
< 0.1%
70 1
< 0.1%
50 1
< 0.1%
37 1
< 0.1%
35 1
< 0.1%
17 1
< 0.1%
15 1
< 0.1%
12 2
< 0.1%
11 1
< 0.1%

18세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3464
Minimum0
Maximum182
Zeros9247
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:08.574089image/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 deviation3.4412776
Coefficient of variation (CV)9.9344041
Kurtosis1131.8458
Mean0.3464
Median Absolute Deviation (MAD)0
Skewness28.527546
Sum3464
Variance11.842391
MonotonicityNot monotonic
2024-04-06T17:56:08.869968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 9247
92.5%
1 363
 
3.6%
2 128
 
1.3%
3 78
 
0.8%
4 43
 
0.4%
5 26
 
0.3%
6 18
 
0.2%
8 12
 
0.1%
9 10
 
0.1%
10 8
 
0.1%
Other values (31) 67
 
0.7%
ValueCountFrequency (%)
0 9247
92.5%
1 363
 
3.6%
2 128
 
1.3%
3 78
 
0.8%
4 43
 
0.4%
5 26
 
0.3%
6 18
 
0.2%
7 7
 
0.1%
8 12
 
0.1%
9 10
 
0.1%
ValueCountFrequency (%)
182 1
< 0.1%
124 1
< 0.1%
103 1
< 0.1%
80 2
< 0.1%
66 1
< 0.1%
59 1
< 0.1%
57 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
45 1
< 0.1%

19세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7129
Minimum0
Maximum236
Zeros8855
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:09.142159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum236
Range236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.2840132
Coefficient of variation (CV)8.8147191
Kurtosis714.83015
Mean0.7129
Median Absolute Deviation (MAD)0
Skewness23.727908
Sum7129
Variance39.488822
MonotonicityNot monotonic
2024-04-06T17:56:09.388399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8855
88.5%
1 522
 
5.2%
2 165
 
1.7%
3 111
 
1.1%
4 64
 
0.6%
5 37
 
0.4%
7 32
 
0.3%
8 26
 
0.3%
6 24
 
0.2%
9 22
 
0.2%
Other values (52) 142
 
1.4%
ValueCountFrequency (%)
0 8855
88.5%
1 522
 
5.2%
2 165
 
1.7%
3 111
 
1.1%
4 64
 
0.6%
5 37
 
0.4%
6 24
 
0.2%
7 32
 
0.3%
8 26
 
0.3%
9 22
 
0.2%
ValueCountFrequency (%)
236 1
< 0.1%
218 1
< 0.1%
215 1
< 0.1%
202 1
< 0.1%
169 1
< 0.1%
155 1
< 0.1%
130 1
< 0.1%
109 1
< 0.1%
98 1
< 0.1%
90 1
< 0.1%

20세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9107
Minimum0
Maximum331
Zeros8599
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:09.641851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum331
Range331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.0115649
Coefficient of variation (CV)7.6990939
Kurtosis984.91934
Mean0.9107
Median Absolute Deviation (MAD)0
Skewness26.048868
Sum9107
Variance49.162042
MonotonicityNot monotonic
2024-04-06T17:56:09.920019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8599
86.0%
1 614
 
6.1%
2 180
 
1.8%
3 129
 
1.3%
4 77
 
0.8%
5 66
 
0.7%
6 44
 
0.4%
7 38
 
0.4%
8 27
 
0.3%
9 26
 
0.3%
Other values (54) 200
 
2.0%
ValueCountFrequency (%)
0 8599
86.0%
1 614
 
6.1%
2 180
 
1.8%
3 129
 
1.3%
4 77
 
0.8%
5 66
 
0.7%
6 44
 
0.4%
7 38
 
0.4%
8 27
 
0.3%
9 26
 
0.3%
ValueCountFrequency (%)
331 1
< 0.1%
309 1
< 0.1%
175 1
< 0.1%
166 1
< 0.1%
129 1
< 0.1%
122 1
< 0.1%
119 1
< 0.1%
103 1
< 0.1%
96 1
< 0.1%
88 1
< 0.1%

21세남자
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4857
Minimum0
Maximum408
Zeros8248
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:10.209234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum408
Range408
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.402443
Coefficient of variation (CV)7.0017115
Kurtosis571.64485
Mean1.4857
Median Absolute Deviation (MAD)0
Skewness19.999531
Sum14857
Variance108.21082
MonotonicityNot monotonic
2024-04-06T17:56:10.545286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8248
82.5%
1 719
 
7.2%
2 253
 
2.5%
3 140
 
1.4%
4 86
 
0.9%
5 61
 
0.6%
6 57
 
0.6%
7 46
 
0.5%
8 35
 
0.4%
9 33
 
0.3%
Other values (77) 322
 
3.2%
ValueCountFrequency (%)
0 8248
82.5%
1 719
 
7.2%
2 253
 
2.5%
3 140
 
1.4%
4 86
 
0.9%
5 61
 
0.6%
6 57
 
0.6%
7 46
 
0.5%
8 35
 
0.4%
9 33
 
0.3%
ValueCountFrequency (%)
408 1
 
< 0.1%
372 1
 
< 0.1%
314 1
 
< 0.1%
234 1
 
< 0.1%
179 1
 
< 0.1%
171 1
 
< 0.1%
167 2
< 0.1%
162 1
 
< 0.1%
161 3
< 0.1%
153 1
 
< 0.1%

22세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct123
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5289
Minimum0
Maximum754
Zeros7854
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:10.817292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum754
Range754
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.940032
Coefficient of variation (CV)7.0940061
Kurtosis651.15299
Mean2.5289
Median Absolute Deviation (MAD)0
Skewness21.283122
Sum25289
Variance321.84475
MonotonicityNot monotonic
2024-04-06T17:56:11.083630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7854
78.5%
1 847
 
8.5%
2 286
 
2.9%
3 151
 
1.5%
4 118
 
1.2%
5 79
 
0.8%
6 64
 
0.6%
7 48
 
0.5%
10 42
 
0.4%
9 34
 
0.3%
Other values (113) 477
 
4.8%
ValueCountFrequency (%)
0 7854
78.5%
1 847
 
8.5%
2 286
 
2.9%
3 151
 
1.5%
4 118
 
1.2%
5 79
 
0.8%
6 64
 
0.6%
7 48
 
0.5%
8 33
 
0.3%
9 34
 
0.3%
ValueCountFrequency (%)
754 1
< 0.1%
630 1
< 0.1%
572 1
< 0.1%
386 1
< 0.1%
358 1
< 0.1%
351 1
< 0.1%
279 1
< 0.1%
271 1
< 0.1%
262 1
< 0.1%
255 1
< 0.1%

23세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8935
Minimum0
Maximum1155
Zeros7410
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:11.389717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14.05
Maximum1155
Range1155
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.365509
Coefficient of variation (CV)6.7716731
Kurtosis679.96812
Mean3.8935
Median Absolute Deviation (MAD)0
Skewness21.381834
Sum38935
Variance695.14007
MonotonicityNot monotonic
2024-04-06T17:56:11.647815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7410
74.1%
1 1025
 
10.2%
2 300
 
3.0%
3 175
 
1.8%
5 121
 
1.2%
4 108
 
1.1%
6 73
 
0.7%
7 67
 
0.7%
8 44
 
0.4%
11 36
 
0.4%
Other values (138) 641
 
6.4%
ValueCountFrequency (%)
0 7410
74.1%
1 1025
 
10.2%
2 300
 
3.0%
3 175
 
1.8%
4 108
 
1.1%
5 121
 
1.2%
6 73
 
0.7%
7 67
 
0.7%
8 44
 
0.4%
9 34
 
0.3%
ValueCountFrequency (%)
1155 1
< 0.1%
892 1
< 0.1%
861 1
< 0.1%
522 1
< 0.1%
513 1
< 0.1%
457 1
< 0.1%
439 1
< 0.1%
402 1
< 0.1%
389 1
< 0.1%
354 1
< 0.1%

24세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct168
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6781
Minimum0
Maximum1628
Zeros7087
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:11.929049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile19
Maximum1628
Range1628
Interquartile range (IQR)1

Descriptive statistics

Standard deviation31.09963
Coefficient of variation (CV)6.6479191
Kurtosis1093.2758
Mean4.6781
Median Absolute Deviation (MAD)0
Skewness26.484855
Sum46781
Variance967.187
MonotonicityNot monotonic
2024-04-06T17:56:12.936374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7087
70.9%
1 1157
 
11.6%
2 328
 
3.3%
3 178
 
1.8%
4 135
 
1.4%
6 102
 
1.0%
5 92
 
0.9%
7 64
 
0.6%
8 51
 
0.5%
9 51
 
0.5%
Other values (158) 755
 
7.5%
ValueCountFrequency (%)
0 7087
70.9%
1 1157
 
11.6%
2 328
 
3.3%
3 178
 
1.8%
4 135
 
1.4%
5 92
 
0.9%
6 102
 
1.0%
7 64
 
0.6%
8 51
 
0.5%
9 51
 
0.5%
ValueCountFrequency (%)
1628 1
< 0.1%
1248 1
< 0.1%
856 1
< 0.1%
556 1
< 0.1%
471 1
< 0.1%
420 1
< 0.1%
413 1
< 0.1%
407 1
< 0.1%
378 1
< 0.1%
371 1
< 0.1%

25세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5384
Minimum0
Maximum2023
Zeros6804
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:13.403651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile24
Maximum2023
Range2023
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.528171
Coefficient of variation (CV)6.41488
Kurtosis1540.9229
Mean5.5384
Median Absolute Deviation (MAD)0
Skewness31.533162
Sum55384
Variance1262.251
MonotonicityNot monotonic
2024-04-06T17:56:13.665190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6804
68.0%
1 1217
 
12.2%
2 399
 
4.0%
3 193
 
1.9%
4 138
 
1.4%
5 110
 
1.1%
6 79
 
0.8%
7 76
 
0.8%
8 60
 
0.6%
9 55
 
0.5%
Other values (170) 869
 
8.7%
ValueCountFrequency (%)
0 6804
68.0%
1 1217
 
12.2%
2 399
 
4.0%
3 193
 
1.9%
4 138
 
1.4%
5 110
 
1.1%
6 79
 
0.8%
7 76
 
0.8%
8 60
 
0.6%
9 55
 
0.5%
ValueCountFrequency (%)
2023 1
< 0.1%
1663 1
< 0.1%
593 1
< 0.1%
482 1
< 0.1%
458 1
< 0.1%
449 1
< 0.1%
399 1
< 0.1%
385 1
< 0.1%
354 1
< 0.1%
330 1
< 0.1%

26세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7135
Minimum0
Maximum2694
Zeros6573
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:13.948368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile30
Maximum2694
Range2694
Interquartile range (IQR)1

Descriptive statistics

Standard deviation43.60202
Coefficient of variation (CV)6.4946779
Kurtosis1929.259
Mean6.7135
Median Absolute Deviation (MAD)0
Skewness35.729101
Sum67135
Variance1901.1361
MonotonicityNot monotonic
2024-04-06T17:56:14.284443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6573
65.7%
1 1225
 
12.2%
2 457
 
4.6%
3 225
 
2.2%
4 163
 
1.6%
5 95
 
0.9%
6 84
 
0.8%
7 73
 
0.7%
8 68
 
0.7%
10 52
 
0.5%
Other values (196) 985
 
9.8%
ValueCountFrequency (%)
0 6573
65.7%
1 1225
 
12.2%
2 457
 
4.6%
3 225
 
2.2%
4 163
 
1.6%
5 95
 
0.9%
6 84
 
0.8%
7 73
 
0.7%
8 68
 
0.7%
9 50
 
0.5%
ValueCountFrequency (%)
2694 1
< 0.1%
2039 1
< 0.1%
539 1
< 0.1%
471 1
< 0.1%
457 1
< 0.1%
427 1
< 0.1%
413 1
< 0.1%
412 1
< 0.1%
409 1
< 0.1%
402 1
< 0.1%

27세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct233
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8705
Minimum0
Maximum2976
Zeros6361
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:14.569888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile36
Maximum2976
Range2976
Interquartile range (IQR)1

Descriptive statistics

Standard deviation49.738702
Coefficient of variation (CV)6.3196369
Kurtosis1831.9622
Mean7.8705
Median Absolute Deviation (MAD)0
Skewness34.767031
Sum78705
Variance2473.9385
MonotonicityNot monotonic
2024-04-06T17:56:14.871787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6361
63.6%
1 1373
 
13.7%
2 424
 
4.2%
3 239
 
2.4%
4 140
 
1.4%
5 120
 
1.2%
6 84
 
0.8%
7 80
 
0.8%
8 65
 
0.7%
10 43
 
0.4%
Other values (223) 1071
 
10.7%
ValueCountFrequency (%)
0 6361
63.6%
1 1373
 
13.7%
2 424
 
4.2%
3 239
 
2.4%
4 140
 
1.4%
5 120
 
1.2%
6 84
 
0.8%
7 80
 
0.8%
8 65
 
0.7%
9 36
 
0.4%
ValueCountFrequency (%)
2976 1
< 0.1%
2417 1
< 0.1%
574 1
< 0.1%
530 1
< 0.1%
504 1
< 0.1%
503 1
< 0.1%
478 1
< 0.1%
477 1
< 0.1%
445 1
< 0.1%
444 1
< 0.1%

28세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct257
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2156
Minimum0
Maximum3115
Zeros6147
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:15.147238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile45
Maximum3115
Range3115
Interquartile range (IQR)1

Descriptive statistics

Standard deviation54.381084
Coefficient of variation (CV)5.9009813
Kurtosis1514.104
Mean9.2156
Median Absolute Deviation (MAD)0
Skewness30.693603
Sum92156
Variance2957.3022
MonotonicityNot monotonic
2024-04-06T17:56:15.473575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6147
61.5%
1 1449
 
14.5%
2 448
 
4.5%
3 248
 
2.5%
4 159
 
1.6%
5 97
 
1.0%
6 94
 
0.9%
7 74
 
0.7%
8 59
 
0.6%
9 57
 
0.6%
Other values (247) 1168
 
11.7%
ValueCountFrequency (%)
0 6147
61.5%
1 1449
 
14.5%
2 448
 
4.5%
3 248
 
2.5%
4 159
 
1.6%
5 97
 
1.0%
6 94
 
0.9%
7 74
 
0.7%
8 59
 
0.6%
9 57
 
0.6%
ValueCountFrequency (%)
3115 1
< 0.1%
2490 1
< 0.1%
657 1
< 0.1%
610 1
< 0.1%
600 1
< 0.1%
595 1
< 0.1%
546 1
< 0.1%
538 1
< 0.1%
504 1
< 0.1%
494 1
< 0.1%

29세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct270
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2525
Minimum0
Maximum3112
Zeros6074
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:15.857651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile49.05
Maximum3112
Range3112
Interquartile range (IQR)2

Descriptive statistics

Standard deviation57.543558
Coefficient of variation (CV)5.6126367
Kurtosis1227.7225
Mean10.2525
Median Absolute Deviation (MAD)0
Skewness26.953772
Sum102525
Variance3311.2611
MonotonicityNot monotonic
2024-04-06T17:56:16.188008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6074
60.7%
1 1406
 
14.1%
2 513
 
5.1%
3 237
 
2.4%
4 164
 
1.6%
5 129
 
1.3%
6 83
 
0.8%
8 72
 
0.7%
7 68
 
0.7%
9 51
 
0.5%
Other values (260) 1203
 
12.0%
ValueCountFrequency (%)
0 6074
60.7%
1 1406
 
14.1%
2 513
 
5.1%
3 237
 
2.4%
4 164
 
1.6%
5 129
 
1.3%
6 83
 
0.8%
7 68
 
0.7%
8 72
 
0.7%
9 51
 
0.5%
ValueCountFrequency (%)
3112 1
< 0.1%
2522 1
< 0.1%
691 1
< 0.1%
663 1
< 0.1%
656 1
< 0.1%
615 1
< 0.1%
604 1
< 0.1%
596 1
< 0.1%
564 1
< 0.1%
543 1
< 0.1%

30세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct276
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.971
Minimum0
Maximum3138
Zeros5986
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:16.530214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile55
Maximum3138
Range3138
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.175464
Coefficient of variation (CV)5.3938077
Kurtosis1063.478
Mean10.971
Median Absolute Deviation (MAD)0
Skewness24.53376
Sum109710
Variance3501.7355
MonotonicityNot monotonic
2024-04-06T17:56:16.834080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5986
59.9%
1 1476
 
14.8%
2 527
 
5.3%
3 243
 
2.4%
4 152
 
1.5%
5 103
 
1.0%
6 82
 
0.8%
8 69
 
0.7%
7 62
 
0.6%
11 50
 
0.5%
Other values (266) 1250
 
12.5%
ValueCountFrequency (%)
0 5986
59.9%
1 1476
 
14.8%
2 527
 
5.3%
3 243
 
2.4%
4 152
 
1.5%
5 103
 
1.0%
6 82
 
0.8%
7 62
 
0.6%
8 69
 
0.7%
9 47
 
0.5%
ValueCountFrequency (%)
3138 1
< 0.1%
2387 1
< 0.1%
729 1
< 0.1%
716 1
< 0.1%
702 1
< 0.1%
695 1
< 0.1%
682 1
< 0.1%
611 1
< 0.1%
585 2
< 0.1%
543 1
< 0.1%

31세남자
Real number (ℝ)

ZEROS 

Distinct282
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9683
Minimum0
Maximum2887
Zeros5880
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:17.159359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile59
Maximum2887
Range2887
Interquartile range (IQR)2

Descriptive statistics

Standard deviation61.054024
Coefficient of variation (CV)5.1013113
Kurtosis729.36156
Mean11.9683
Median Absolute Deviation (MAD)0
Skewness19.849766
Sum119683
Variance3727.5939
MonotonicityNot monotonic
2024-04-06T17:56:17.505324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5880
58.8%
1 1571
 
15.7%
2 520
 
5.2%
3 241
 
2.4%
4 156
 
1.6%
5 120
 
1.2%
7 72
 
0.7%
6 65
 
0.7%
8 52
 
0.5%
11 49
 
0.5%
Other values (272) 1274
 
12.7%
ValueCountFrequency (%)
0 5880
58.8%
1 1571
 
15.7%
2 520
 
5.2%
3 241
 
2.4%
4 156
 
1.6%
5 120
 
1.2%
6 65
 
0.7%
7 72
 
0.7%
8 52
 
0.5%
9 40
 
0.4%
ValueCountFrequency (%)
2887 1
< 0.1%
2328 1
< 0.1%
827 1
< 0.1%
825 1
< 0.1%
774 1
< 0.1%
771 1
< 0.1%
674 1
< 0.1%
669 1
< 0.1%
625 1
< 0.1%
615 1
< 0.1%

32세남자
Real number (ℝ)

ZEROS 

Distinct288
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.2375
Minimum0
Maximum2604
Zeros5917
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:17.914759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile64
Maximum2604
Range2604
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.873486
Coefficient of variation (CV)4.892624
Kurtosis540.14788
Mean12.2375
Median Absolute Deviation (MAD)0
Skewness16.860944
Sum122375
Variance3584.8344
MonotonicityNot monotonic
2024-04-06T17:56:18.211392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5917
59.2%
1 1580
 
15.8%
2 475
 
4.8%
3 251
 
2.5%
4 143
 
1.4%
5 114
 
1.1%
6 84
 
0.8%
7 72
 
0.7%
8 65
 
0.7%
10 47
 
0.5%
Other values (278) 1252
 
12.5%
ValueCountFrequency (%)
0 5917
59.2%
1 1580
 
15.8%
2 475
 
4.8%
3 251
 
2.5%
4 143
 
1.4%
5 114
 
1.1%
6 84
 
0.8%
7 72
 
0.7%
8 65
 
0.7%
9 41
 
0.4%
ValueCountFrequency (%)
2604 1
< 0.1%
2122 1
< 0.1%
893 1
< 0.1%
814 1
< 0.1%
745 1
< 0.1%
741 1
< 0.1%
670 1
< 0.1%
667 2
< 0.1%
626 1
< 0.1%
607 1
< 0.1%

33세남자
Real number (ℝ)

ZEROS 

Distinct290
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.6263
Minimum0
Maximum2184
Zeros5951
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:18.511363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile62
Maximum2184
Range2184
Interquartile range (IQR)1

Descriptive statistics

Standard deviation54.71867
Coefficient of variation (CV)4.7064561
Kurtosis399.07564
Mean11.6263
Median Absolute Deviation (MAD)0
Skewness14.473146
Sum116263
Variance2994.1329
MonotonicityNot monotonic
2024-04-06T17:56:18.778398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5951
59.5%
1 1614
 
16.1%
2 464
 
4.6%
3 228
 
2.3%
4 154
 
1.5%
5 91
 
0.9%
7 69
 
0.7%
8 62
 
0.6%
6 61
 
0.6%
10 57
 
0.6%
Other values (280) 1249
 
12.5%
ValueCountFrequency (%)
0 5951
59.5%
1 1614
 
16.1%
2 464
 
4.6%
3 228
 
2.3%
4 154
 
1.5%
5 91
 
0.9%
6 61
 
0.6%
7 69
 
0.7%
8 62
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
2184 1
< 0.1%
1788 1
< 0.1%
824 1
< 0.1%
788 1
< 0.1%
722 1
< 0.1%
663 1
< 0.1%
630 1
< 0.1%
621 1
< 0.1%
601 1
< 0.1%
596 1
< 0.1%

34세남자
Real number (ℝ)

ZEROS 

Distinct296
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.8651
Minimum0
Maximum1888
Zeros5958
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:19.040217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile66
Maximum1888
Range1888
Interquartile range (IQR)1

Descriptive statistics

Standard deviation53.649547
Coefficient of variation (CV)4.5216262
Kurtosis255.33979
Mean11.8651
Median Absolute Deviation (MAD)0
Skewness11.75456
Sum118651
Variance2878.2739
MonotonicityNot monotonic
2024-04-06T17:56:19.351187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5958
59.6%
1 1600
 
16.0%
2 460
 
4.6%
3 229
 
2.3%
4 146
 
1.5%
5 107
 
1.1%
6 84
 
0.8%
7 72
 
0.7%
8 55
 
0.5%
11 46
 
0.5%
Other values (286) 1243
 
12.4%
ValueCountFrequency (%)
0 5958
59.6%
1 1600
 
16.0%
2 460
 
4.6%
3 229
 
2.3%
4 146
 
1.5%
5 107
 
1.1%
6 84
 
0.8%
7 72
 
0.7%
8 55
 
0.5%
9 43
 
0.4%
ValueCountFrequency (%)
1888 1
< 0.1%
1505 1
< 0.1%
934 1
< 0.1%
737 1
< 0.1%
705 1
< 0.1%
656 1
< 0.1%
643 1
< 0.1%
631 1
< 0.1%
615 1
< 0.1%
612 1
< 0.1%

35세남자
Real number (ℝ)

ZEROS 

Distinct293
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9255
Minimum0
Maximum1751
Zeros5932
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:19.793978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile67
Maximum1751
Range1751
Interquartile range (IQR)1

Descriptive statistics

Standard deviation53.262832
Coefficient of variation (CV)4.4662976
Kurtosis208.33016
Mean11.9255
Median Absolute Deviation (MAD)0
Skewness10.826963
Sum119255
Variance2836.9292
MonotonicityNot monotonic
2024-04-06T17:56:20.177383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5932
59.3%
1 1587
 
15.9%
2 523
 
5.2%
3 250
 
2.5%
4 134
 
1.3%
5 92
 
0.9%
6 88
 
0.9%
7 72
 
0.7%
8 54
 
0.5%
9 50
 
0.5%
Other values (283) 1218
 
12.2%
ValueCountFrequency (%)
0 5932
59.3%
1 1587
 
15.9%
2 523
 
5.2%
3 250
 
2.5%
4 134
 
1.3%
5 92
 
0.9%
6 88
 
0.9%
7 72
 
0.7%
8 54
 
0.5%
9 50
 
0.5%
ValueCountFrequency (%)
1751 1
< 0.1%
1372 1
< 0.1%
1016 1
< 0.1%
763 1
< 0.1%
745 1
< 0.1%
663 1
< 0.1%
661 1
< 0.1%
620 1
< 0.1%
619 1
< 0.1%
617 1
< 0.1%

36세남자
Real number (ℝ)

ZEROS 

Distinct295
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9558
Minimum0
Maximum1574
Zeros5895
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:20.433023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile65.05
Maximum1574
Range1574
Interquartile range (IQR)1

Descriptive statistics

Standard deviation52.737777
Coefficient of variation (CV)4.4110622
Kurtosis166.17141
Mean11.9558
Median Absolute Deviation (MAD)0
Skewness9.9497944
Sum119558
Variance2781.2732
MonotonicityNot monotonic
2024-04-06T17:56:20.813886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5895
59.0%
1 1639
 
16.4%
2 509
 
5.1%
3 249
 
2.5%
4 150
 
1.5%
5 105
 
1.1%
6 73
 
0.7%
7 54
 
0.5%
8 48
 
0.5%
10 46
 
0.5%
Other values (285) 1232
 
12.3%
ValueCountFrequency (%)
0 5895
59.0%
1 1639
 
16.4%
2 509
 
5.1%
3 249
 
2.5%
4 150
 
1.5%
5 105
 
1.1%
6 73
 
0.7%
7 54
 
0.5%
8 48
 
0.5%
9 42
 
0.4%
ValueCountFrequency (%)
1574 1
< 0.1%
1254 1
< 0.1%
1056 1
< 0.1%
818 1
< 0.1%
738 1
< 0.1%
701 1
< 0.1%
658 1
< 0.1%
645 1
< 0.1%
635 1
< 0.1%
620 1
< 0.1%

37세남자
Real number (ℝ)

ZEROS 

Distinct301
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.2176
Minimum0
Maximum1406
Zeros5781
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:21.082085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile70
Maximum1406
Range1406
Interquartile range (IQR)2

Descriptive statistics

Standard deviation52.765884
Coefficient of variation (CV)4.318842
Kurtosis135.82434
Mean12.2176
Median Absolute Deviation (MAD)0
Skewness9.2127678
Sum122176
Variance2784.2385
MonotonicityNot monotonic
2024-04-06T17:56:21.772823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5781
57.8%
1 1695
 
17.0%
2 558
 
5.6%
3 227
 
2.3%
4 142
 
1.4%
5 96
 
1.0%
6 93
 
0.9%
7 68
 
0.7%
8 60
 
0.6%
9 48
 
0.5%
Other values (291) 1232
 
12.3%
ValueCountFrequency (%)
0 5781
57.8%
1 1695
 
17.0%
2 558
 
5.6%
3 227
 
2.3%
4 142
 
1.4%
5 96
 
1.0%
6 93
 
0.9%
7 68
 
0.7%
8 60
 
0.6%
9 48
 
0.5%
ValueCountFrequency (%)
1406 1
< 0.1%
1162 1
< 0.1%
1152 1
< 0.1%
765 1
< 0.1%
729 1
< 0.1%
697 1
< 0.1%
674 1
< 0.1%
659 1
< 0.1%
648 1
< 0.1%
642 1
< 0.1%

38세남자
Real number (ℝ)

ZEROS 

Distinct312
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.9074
Minimum0
Maximum1400
Zeros5649
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:22.028230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile73
Maximum1400
Range1400
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.038715
Coefficient of variation (CV)4.264121
Kurtosis127.00473
Mean12.9074
Median Absolute Deviation (MAD)0
Skewness8.9485013
Sum129074
Variance3029.2602
MonotonicityNot monotonic
2024-04-06T17:56:22.311464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5649
56.5%
1 1756
 
17.6%
2 527
 
5.3%
3 271
 
2.7%
4 146
 
1.5%
5 123
 
1.2%
6 90
 
0.9%
7 77
 
0.8%
8 62
 
0.6%
10 41
 
0.4%
Other values (302) 1258
 
12.6%
ValueCountFrequency (%)
0 5649
56.5%
1 1756
 
17.6%
2 527
 
5.3%
3 271
 
2.7%
4 146
 
1.5%
5 123
 
1.2%
6 90
 
0.9%
7 77
 
0.8%
8 62
 
0.6%
9 36
 
0.4%
ValueCountFrequency (%)
1400 1
< 0.1%
1300 1
< 0.1%
1058 1
< 0.1%
859 1
< 0.1%
767 1
< 0.1%
745 1
< 0.1%
744 1
< 0.1%
666 1
< 0.1%
635 1
< 0.1%
618 1
< 0.1%

39세남자
Real number (ℝ)

ZEROS 

Distinct324
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1278
Minimum0
Maximum1499
Zeros5538
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:22.585788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile74
Maximum1499
Range1499
Interquartile range (IQR)2

Descriptive statistics

Standard deviation55.641322
Coefficient of variation (CV)4.2384346
Kurtosis128.56884
Mean13.1278
Median Absolute Deviation (MAD)0
Skewness8.9107916
Sum131278
Variance3095.9567
MonotonicityNot monotonic
2024-04-06T17:56:22.845361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5538
55.4%
1 1792
 
17.9%
2 617
 
6.2%
3 253
 
2.5%
4 150
 
1.5%
5 121
 
1.2%
6 86
 
0.9%
7 60
 
0.6%
8 57
 
0.6%
9 46
 
0.5%
Other values (314) 1280
 
12.8%
ValueCountFrequency (%)
0 5538
55.4%
1 1792
 
17.9%
2 617
 
6.2%
3 253
 
2.5%
4 150
 
1.5%
5 121
 
1.2%
6 86
 
0.9%
7 60
 
0.6%
8 57
 
0.6%
9 46
 
0.5%
ValueCountFrequency (%)
1499 1
< 0.1%
1273 1
< 0.1%
969 1
< 0.1%
858 1
< 0.1%
801 1
< 0.1%
745 1
< 0.1%
681 1
< 0.1%
676 1
< 0.1%
634 1
< 0.1%
625 1
< 0.1%

40세남자
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.8545
Minimum0
Maximum1541
Zeros5203
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:23.095558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile85
Maximum1541
Range1541
Interquartile range (IQR)2

Descriptive statistics

Standard deviation62.571272
Coefficient of variation (CV)4.2122772
Kurtosis116.44437
Mean14.8545
Median Absolute Deviation (MAD)0
Skewness8.6645171
Sum148545
Variance3915.164
MonotonicityNot monotonic
2024-04-06T17:56:23.378212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5203
52.0%
1 1868
 
18.7%
2 706
 
7.1%
3 313
 
3.1%
4 183
 
1.8%
5 123
 
1.2%
8 81
 
0.8%
6 78
 
0.8%
7 61
 
0.6%
9 53
 
0.5%
Other values (337) 1331
 
13.3%
ValueCountFrequency (%)
0 5203
52.0%
1 1868
 
18.7%
2 706
 
7.1%
3 313
 
3.1%
4 183
 
1.8%
5 123
 
1.2%
6 78
 
0.8%
7 61
 
0.6%
8 81
 
0.8%
9 53
 
0.5%
ValueCountFrequency (%)
1541 1
< 0.1%
1415 1
< 0.1%
1066 1
< 0.1%
1057 1
< 0.1%
929 1
< 0.1%
882 1
< 0.1%
844 1
< 0.1%
776 1
< 0.1%
715 1
< 0.1%
700 1
< 0.1%

41세남자
Real number (ℝ)

ZEROS 

Distinct367
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.531
Minimum0
Maximum1775
Zeros4847
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:23.624850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile94.05
Maximum1775
Range1775
Interquartile range (IQR)2

Descriptive statistics

Standard deviation68.688223
Coefficient of variation (CV)4.1551161
Kurtosis113.41736
Mean16.531
Median Absolute Deviation (MAD)1
Skewness8.5134055
Sum165310
Variance4718.072
MonotonicityNot monotonic
2024-04-06T17:56:23.887073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4847
48.5%
1 2019
20.2%
2 755
 
7.5%
3 387
 
3.9%
4 176
 
1.8%
5 126
 
1.3%
6 97
 
1.0%
7 62
 
0.6%
8 57
 
0.6%
9 56
 
0.6%
Other values (357) 1418
 
14.2%
ValueCountFrequency (%)
0 4847
48.5%
1 2019
20.2%
2 755
 
7.5%
3 387
 
3.9%
4 176
 
1.8%
5 126
 
1.3%
6 97
 
1.0%
7 62
 
0.6%
8 57
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
1775 1
< 0.1%
1376 1
< 0.1%
1225 1
< 0.1%
1084 1
< 0.1%
998 1
< 0.1%
982 1
< 0.1%
878 1
< 0.1%
844 1
< 0.1%
829 1
< 0.1%
790 1
< 0.1%

42세남자
Real number (ℝ)

ZEROS 

Distinct382
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.4254
Minimum0
Maximum1862
Zeros4627
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:24.297328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile98
Maximum1862
Range1862
Interquartile range (IQR)2

Descriptive statistics

Standard deviation72.281777
Coefficient of variation (CV)4.1480699
Kurtosis113.96009
Mean17.4254
Median Absolute Deviation (MAD)1
Skewness8.560972
Sum174254
Variance5224.6553
MonotonicityNot monotonic
2024-04-06T17:56:24.583797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4627
46.3%
1 2085
20.8%
2 828
 
8.3%
3 397
 
4.0%
4 203
 
2.0%
5 144
 
1.4%
6 104
 
1.0%
7 77
 
0.8%
9 74
 
0.7%
8 46
 
0.5%
Other values (372) 1415
 
14.1%
ValueCountFrequency (%)
0 4627
46.3%
1 2085
20.8%
2 828
 
8.3%
3 397
 
4.0%
4 203
 
2.0%
5 144
 
1.4%
6 104
 
1.0%
7 77
 
0.8%
8 46
 
0.5%
9 74
 
0.7%
ValueCountFrequency (%)
1862 1
< 0.1%
1361 1
< 0.1%
1328 1
< 0.1%
1182 1
< 0.1%
1166 1
< 0.1%
1047 1
< 0.1%
888 1
< 0.1%
885 1
< 0.1%
884 1
< 0.1%
841 1
< 0.1%

43세남자
Real number (ℝ)

ZEROS 

Distinct373
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3583
Minimum0
Maximum1801
Zeros4588
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:24.898478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile98.05
Maximum1801
Range1801
Interquartile range (IQR)2

Descriptive statistics

Standard deviation72.040026
Coefficient of variation (CV)4.1501775
Kurtosis110.29054
Mean17.3583
Median Absolute Deviation (MAD)1
Skewness8.4808441
Sum173583
Variance5189.7653
MonotonicityNot monotonic
2024-04-06T17:56:25.207700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4588
45.9%
1 2091
20.9%
2 836
 
8.4%
3 382
 
3.8%
4 216
 
2.2%
5 134
 
1.3%
6 112
 
1.1%
8 84
 
0.8%
7 77
 
0.8%
10 54
 
0.5%
Other values (363) 1426
 
14.3%
ValueCountFrequency (%)
0 4588
45.9%
1 2091
20.9%
2 836
 
8.4%
3 382
 
3.8%
4 216
 
2.2%
5 134
 
1.3%
6 112
 
1.1%
7 77
 
0.8%
8 84
 
0.8%
9 53
 
0.5%
ValueCountFrequency (%)
1801 1
< 0.1%
1423 1
< 0.1%
1303 1
< 0.1%
1154 1
< 0.1%
1088 1
< 0.1%
1080 1
< 0.1%
920 1
< 0.1%
864 1
< 0.1%
844 1
< 0.1%
833 1
< 0.1%

44세남자
Real number (ℝ)

ZEROS 

Distinct377
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.4406
Minimum0
Maximum1872
Zeros4450
Zeros (%)44.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:25.497891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile98
Maximum1872
Range1872
Interquartile range (IQR)3

Descriptive statistics

Standard deviation71.923547
Coefficient of variation (CV)4.1239147
Kurtosis114.45656
Mean17.4406
Median Absolute Deviation (MAD)1
Skewness8.5617465
Sum174406
Variance5172.9966
MonotonicityNot monotonic
2024-04-06T17:56:25.764092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4450
44.5%
1 2086
20.9%
2 875
 
8.8%
3 403
 
4.0%
4 245
 
2.5%
5 152
 
1.5%
6 104
 
1.0%
7 85
 
0.9%
8 72
 
0.7%
11 67
 
0.7%
Other values (367) 1461
 
14.6%
ValueCountFrequency (%)
0 4450
44.5%
1 2086
20.9%
2 875
 
8.8%
3 403
 
4.0%
4 245
 
2.5%
5 152
 
1.5%
6 104
 
1.0%
7 85
 
0.9%
8 72
 
0.7%
9 63
 
0.6%
ValueCountFrequency (%)
1872 1
< 0.1%
1369 1
< 0.1%
1312 1
< 0.1%
1186 1
< 0.1%
1055 1
< 0.1%
1051 1
< 0.1%
960 1
< 0.1%
838 1
< 0.1%
803 1
< 0.1%
793 1
< 0.1%

45세남자
Real number (ℝ)

ZEROS 

Distinct352
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.7725
Minimum0
Maximum1629
Zeros4391
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:26.089863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile89
Maximum1629
Range1629
Interquartile range (IQR)3

Descriptive statistics

Standard deviation64.083903
Coefficient of variation (CV)4.0630149
Kurtosis106.04574
Mean15.7725
Median Absolute Deviation (MAD)1
Skewness8.3082576
Sum157725
Variance4106.7466
MonotonicityNot monotonic
2024-04-06T17:56:26.395227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4391
43.9%
1 2218
22.2%
2 861
 
8.6%
3 402
 
4.0%
4 222
 
2.2%
5 145
 
1.5%
6 121
 
1.2%
7 88
 
0.9%
8 68
 
0.7%
9 60
 
0.6%
Other values (342) 1424
 
14.2%
ValueCountFrequency (%)
0 4391
43.9%
1 2218
22.2%
2 861
 
8.6%
3 402
 
4.0%
4 222
 
2.2%
5 145
 
1.5%
6 121
 
1.2%
7 88
 
0.9%
8 68
 
0.7%
9 60
 
0.6%
ValueCountFrequency (%)
1629 1
< 0.1%
1162 1
< 0.1%
1095 1
< 0.1%
1028 1
< 0.1%
965 1
< 0.1%
892 1
< 0.1%
877 1
< 0.1%
775 1
< 0.1%
711 1
< 0.1%
709 1
< 0.1%

46세남자
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.235
Minimum0
Maximum1647
Zeros4189
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:26.750942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile91
Maximum1647
Range1647
Interquartile range (IQR)3

Descriptive statistics

Standard deviation65.562599
Coefficient of variation (CV)4.0383492
Kurtosis103.34608
Mean16.235
Median Absolute Deviation (MAD)1
Skewness8.2277196
Sum162350
Variance4298.4544
MonotonicityNot monotonic
2024-04-06T17:56:27.025067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4189
41.9%
1 2205
22.1%
2 954
 
9.5%
3 463
 
4.6%
4 244
 
2.4%
5 174
 
1.7%
6 108
 
1.1%
8 85
 
0.9%
7 83
 
0.8%
9 71
 
0.7%
Other values (340) 1424
 
14.2%
ValueCountFrequency (%)
0 4189
41.9%
1 2205
22.1%
2 954
 
9.5%
3 463
 
4.6%
4 244
 
2.4%
5 174
 
1.7%
6 108
 
1.1%
7 83
 
0.8%
8 85
 
0.9%
9 71
 
0.7%
ValueCountFrequency (%)
1647 1
< 0.1%
1159 1
< 0.1%
1127 1
< 0.1%
1040 1
< 0.1%
966 1
< 0.1%
947 1
< 0.1%
918 1
< 0.1%
787 1
< 0.1%
764 1
< 0.1%
727 1
< 0.1%

47세남자
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.2007
Minimum0
Maximum1519
Zeros3930
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:27.290583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile90
Maximum1519
Range1519
Interquartile range (IQR)3

Descriptive statistics

Standard deviation64.927791
Coefficient of variation (CV)4.0077151
Kurtosis97.024207
Mean16.2007
Median Absolute Deviation (MAD)1
Skewness8.0951192
Sum162007
Variance4215.618
MonotonicityNot monotonic
2024-04-06T17:56:27.720081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3930
39.3%
1 2279
22.8%
2 1047
 
10.5%
3 505
 
5.1%
4 257
 
2.6%
5 194
 
1.9%
6 104
 
1.0%
7 92
 
0.9%
8 86
 
0.9%
9 65
 
0.7%
Other values (340) 1441
 
14.4%
ValueCountFrequency (%)
0 3930
39.3%
1 2279
22.8%
2 1047
 
10.5%
3 505
 
5.1%
4 257
 
2.6%
5 194
 
1.9%
6 104
 
1.0%
7 92
 
0.9%
8 86
 
0.9%
9 65
 
0.7%
ValueCountFrequency (%)
1519 1
< 0.1%
1175 1
< 0.1%
1118 1
< 0.1%
1052 1
< 0.1%
997 1
< 0.1%
968 1
< 0.1%
922 1
< 0.1%
742 1
< 0.1%
737 1
< 0.1%
722 1
< 0.1%

48세남자
Real number (ℝ)

ZEROS 

Distinct357
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.8995
Minimum0
Maximum1500
Zeros3705
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:28.070715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile93
Maximum1500
Range1500
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.684119
Coefficient of variation (CV)3.9459226
Kurtosis92.61986
Mean16.8995
Median Absolute Deviation (MAD)1
Skewness7.9308145
Sum168995
Variance4446.7717
MonotonicityNot monotonic
2024-04-06T17:56:28.354312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3705
37.0%
1 2216
22.2%
2 1134
 
11.3%
3 585
 
5.9%
4 287
 
2.9%
5 188
 
1.9%
6 133
 
1.3%
7 95
 
0.9%
8 82
 
0.8%
9 79
 
0.8%
Other values (347) 1496
15.0%
ValueCountFrequency (%)
0 3705
37.0%
1 2216
22.2%
2 1134
 
11.3%
3 585
 
5.9%
4 287
 
2.9%
5 188
 
1.9%
6 133
 
1.3%
7 95
 
0.9%
8 82
 
0.8%
9 79
 
0.8%
ValueCountFrequency (%)
1500 1
< 0.1%
1238 1
< 0.1%
1206 1
< 0.1%
1025 1
< 0.1%
1012 1
< 0.1%
961 1
< 0.1%
866 1
< 0.1%
775 1
< 0.1%
768 1
< 0.1%
733 1
< 0.1%

49세남자
Real number (ℝ)

ZEROS 

Distinct381
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.3872
Minimum0
Maximum1609
Zeros3304
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:28.641449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile101.05
Maximum1609
Range1609
Interquartile range (IQR)4

Descriptive statistics

Standard deviation72.048177
Coefficient of variation (CV)3.9183876
Kurtosis91.364759
Mean18.3872
Median Absolute Deviation (MAD)1
Skewness7.8864433
Sum183872
Variance5190.9398
MonotonicityNot monotonic
2024-04-06T17:56:28.930430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3304
33.0%
1 2314
23.1%
2 1197
 
12.0%
3 635
 
6.3%
4 357
 
3.6%
5 209
 
2.1%
6 132
 
1.3%
7 109
 
1.1%
8 101
 
1.0%
10 68
 
0.7%
Other values (371) 1574
15.7%
ValueCountFrequency (%)
0 3304
33.0%
1 2314
23.1%
2 1197
 
12.0%
3 635
 
6.3%
4 357
 
3.6%
5 209
 
2.1%
6 132
 
1.3%
7 109
 
1.1%
8 101
 
1.0%
9 49
 
0.5%
ValueCountFrequency (%)
1609 1
< 0.1%
1409 1
< 0.1%
1231 1
< 0.1%
1145 1
< 0.1%
1059 1
< 0.1%
963 1
< 0.1%
952 1
< 0.1%
799 1
< 0.1%
779 1
< 0.1%
772 1
< 0.1%

50세남자
Real number (ℝ)

ZEROS 

Distinct384
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.3915
Minimum0
Maximum1517
Zeros2960
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:29.218346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile105
Maximum1517
Range1517
Interquartile range (IQR)4

Descriptive statistics

Standard deviation74.802604
Coefficient of variation (CV)3.8574945
Kurtosis84.774936
Mean19.3915
Median Absolute Deviation (MAD)1
Skewness7.6938737
Sum193915
Variance5595.4296
MonotonicityNot monotonic
2024-04-06T17:56:30.074164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2960
29.6%
1 2255
22.6%
2 1315
13.2%
3 730
 
7.3%
4 386
 
3.9%
5 240
 
2.4%
6 160
 
1.6%
7 128
 
1.3%
8 113
 
1.1%
10 76
 
0.8%
Other values (374) 1637
16.4%
ValueCountFrequency (%)
0 2960
29.6%
1 2255
22.6%
2 1315
13.2%
3 730
 
7.3%
4 386
 
3.9%
5 240
 
2.4%
6 160
 
1.6%
7 128
 
1.3%
8 113
 
1.1%
9 71
 
0.7%
ValueCountFrequency (%)
1517 1
< 0.1%
1455 1
< 0.1%
1260 1
< 0.1%
1186 1
< 0.1%
1182 1
< 0.1%
988 1
< 0.1%
902 1
< 0.1%
884 1
< 0.1%
847 1
< 0.1%
816 1
< 0.1%

51세남자
Real number (ℝ)

ZEROS 

Distinct381
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.8083
Minimum0
Maximum1532
Zeros2736
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:30.354045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile108
Maximum1532
Range1532
Interquartile range (IQR)4

Descriptive statistics

Standard deviation76.185351
Coefficient of variation (CV)3.8461328
Kurtosis81.791141
Mean19.8083
Median Absolute Deviation (MAD)2
Skewness7.6072816
Sum198083
Variance5804.2078
MonotonicityNot monotonic
2024-04-06T17:56:30.747425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2736
27.4%
1 2253
22.5%
2 1381
13.8%
3 793
 
7.9%
4 433
 
4.3%
5 257
 
2.6%
6 181
 
1.8%
7 140
 
1.4%
8 92
 
0.9%
9 76
 
0.8%
Other values (371) 1658
16.6%
ValueCountFrequency (%)
0 2736
27.4%
1 2253
22.5%
2 1381
13.8%
3 793
 
7.9%
4 433
 
4.3%
5 257
 
2.6%
6 181
 
1.8%
7 140
 
1.4%
8 92
 
0.9%
9 76
 
0.8%
ValueCountFrequency (%)
1532 1
< 0.1%
1435 1
< 0.1%
1279 1
< 0.1%
1194 1
< 0.1%
1164 1
< 0.1%
937 1
< 0.1%
917 1
< 0.1%
893 1
< 0.1%
892 1
< 0.1%
870 1
< 0.1%

52세남자
Real number (ℝ)

ZEROS 

Distinct409
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.788
Minimum0
Maximum1579
Zeros2452
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:31.104842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile111
Maximum1579
Range1579
Interquartile range (IQR)4

Descriptive statistics

Standard deviation79.652664
Coefficient of variation (CV)3.8316656
Kurtosis82.585356
Mean20.788
Median Absolute Deviation (MAD)2
Skewness7.6431724
Sum207880
Variance6344.5469
MonotonicityNot monotonic
2024-04-06T17:56:31.471948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2452
24.5%
1 2224
22.2%
2 1406
14.1%
3 914
 
9.1%
4 484
 
4.8%
5 318
 
3.2%
6 180
 
1.8%
7 134
 
1.3%
8 106
 
1.1%
9 92
 
0.9%
Other values (399) 1690
16.9%
ValueCountFrequency (%)
0 2452
24.5%
1 2224
22.2%
2 1406
14.1%
3 914
 
9.1%
4 484
 
4.8%
5 318
 
3.2%
6 180
 
1.8%
7 134
 
1.3%
8 106
 
1.1%
9 92
 
0.9%
ValueCountFrequency (%)
1579 1
< 0.1%
1569 1
< 0.1%
1283 1
< 0.1%
1229 1
< 0.1%
1223 1
< 0.1%
992 1
< 0.1%
953 1
< 0.1%
942 1
< 0.1%
927 1
< 0.1%
921 1
< 0.1%

53세남자
Real number (ℝ)

ZEROS 

Distinct408
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.0264
Minimum0
Maximum1639
Zeros2263
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:31.768457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile115
Maximum1639
Range1639
Interquartile range (IQR)4

Descriptive statistics

Standard deviation79.716338
Coefficient of variation (CV)3.79125
Kurtosis79.718977
Mean21.0264
Median Absolute Deviation (MAD)2
Skewness7.5423795
Sum210264
Variance6354.6946
MonotonicityNot monotonic
2024-04-06T17:56:32.027394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2263
22.6%
1 2145
21.4%
2 1477
14.8%
3 902
 
9.0%
4 524
 
5.2%
5 319
 
3.2%
6 253
 
2.5%
7 154
 
1.5%
8 130
 
1.3%
9 90
 
0.9%
Other values (398) 1743
17.4%
ValueCountFrequency (%)
0 2263
22.6%
1 2145
21.4%
2 1477
14.8%
3 902
 
9.0%
4 524
 
5.2%
5 319
 
3.2%
6 253
 
2.5%
7 154
 
1.5%
8 130
 
1.3%
9 90
 
0.9%
ValueCountFrequency (%)
1639 1
< 0.1%
1429 1
< 0.1%
1274 1
< 0.1%
1199 1
< 0.1%
1189 1
< 0.1%
995 1
< 0.1%
958 1
< 0.1%
933 1
< 0.1%
928 1
< 0.1%
921 1
< 0.1%

54세남자
Real number (ℝ)

ZEROS 

Distinct400
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5028
Minimum0
Maximum1579
Zeros2094
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:32.311807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile110
Maximum1579
Range1579
Interquartile range (IQR)4

Descriptive statistics

Standard deviation76.854848
Coefficient of variation (CV)3.748505
Kurtosis81.185474
Mean20.5028
Median Absolute Deviation (MAD)2
Skewness7.5725378
Sum205028
Variance5906.6677
MonotonicityNot monotonic
2024-04-06T17:56:32.580520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2100
21.0%
0 2094
20.9%
2 1504
15.0%
3 960
9.6%
4 574
 
5.7%
5 377
 
3.8%
6 255
 
2.5%
7 151
 
1.5%
8 146
 
1.5%
9 88
 
0.9%
Other values (390) 1751
17.5%
ValueCountFrequency (%)
0 2094
20.9%
1 2100
21.0%
2 1504
15.0%
3 960
9.6%
4 574
 
5.7%
5 377
 
3.8%
6 255
 
2.5%
7 151
 
1.5%
8 146
 
1.5%
9 88
 
0.9%
ValueCountFrequency (%)
1579 1
< 0.1%
1392 1
< 0.1%
1290 1
< 0.1%
1288 1
< 0.1%
1068 1
< 0.1%
924 1
< 0.1%
902 1
< 0.1%
897 1
< 0.1%
886 1
< 0.1%
875 1
< 0.1%

55세남자
Real number (ℝ)

ZEROS 

Distinct396
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.1174
Minimum0
Maximum1527
Zeros1802
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:32.849911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile113
Maximum1527
Range1527
Interquartile range (IQR)5

Descriptive statistics

Standard deviation77.698163
Coefficient of variation (CV)3.6793432
Kurtosis74.354662
Mean21.1174
Median Absolute Deviation (MAD)2
Skewness7.3561441
Sum211174
Variance6037.0045
MonotonicityNot monotonic
2024-04-06T17:56:33.143410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2060
20.6%
0 1802
18.0%
2 1501
15.0%
3 988
9.9%
4 656
 
6.6%
5 420
 
4.2%
6 273
 
2.7%
7 203
 
2.0%
8 142
 
1.4%
9 129
 
1.3%
Other values (386) 1826
18.3%
ValueCountFrequency (%)
0 1802
18.0%
1 2060
20.6%
2 1501
15.0%
3 988
9.9%
4 656
 
6.6%
5 420
 
4.2%
6 273
 
2.7%
7 203
 
2.0%
8 142
 
1.4%
9 129
 
1.3%
ValueCountFrequency (%)
1527 1
< 0.1%
1316 1
< 0.1%
1211 1
< 0.1%
1198 1
< 0.1%
1058 1
< 0.1%
974 1
< 0.1%
947 1
< 0.1%
910 1
< 0.1%
893 1
< 0.1%
889 1
< 0.1%

56세남자
Real number (ℝ)

ZEROS 

Distinct374
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.2946
Minimum0
Maximum1394
Zeros1804
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:33.483196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile102
Maximum1394
Range1394
Interquartile range (IQR)4

Descriptive statistics

Standard deviation70.273147
Coefficient of variation (CV)3.6421148
Kurtosis75.363676
Mean19.2946
Median Absolute Deviation (MAD)2
Skewness7.387732
Sum192946
Variance4938.3152
MonotonicityNot monotonic
2024-04-06T17:56:33.801457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1986
19.9%
0 1804
18.0%
2 1548
15.5%
3 1025
10.2%
4 677
 
6.8%
5 467
 
4.7%
6 263
 
2.6%
7 198
 
2.0%
8 147
 
1.5%
9 125
 
1.2%
Other values (364) 1760
17.6%
ValueCountFrequency (%)
0 1804
18.0%
1 1986
19.9%
2 1548
15.5%
3 1025
10.2%
4 677
 
6.8%
5 467
 
4.7%
6 263
 
2.6%
7 198
 
2.0%
8 147
 
1.5%
9 125
 
1.2%
ValueCountFrequency (%)
1394 1
< 0.1%
1180 1
< 0.1%
1097 1
< 0.1%
1094 1
< 0.1%
962 1
< 0.1%
927 1
< 0.1%
897 1
< 0.1%
881 1
< 0.1%
856 1
< 0.1%
818 1
< 0.1%

57세남자
Real number (ℝ)

ZEROS 

Distinct372
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.2856
Minimum0
Maximum1414
Zeros1593
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:34.070908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile102
Maximum1414
Range1414
Interquartile range (IQR)5

Descriptive statistics

Standard deviation69.508293
Coefficient of variation (CV)3.6041551
Kurtosis76.217521
Mean19.2856
Median Absolute Deviation (MAD)2
Skewness7.4363798
Sum192856
Variance4831.4028
MonotonicityNot monotonic
2024-04-06T17:56:34.369938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1897
19.0%
0 1593
15.9%
2 1582
15.8%
3 1080
10.8%
4 731
 
7.3%
5 469
 
4.7%
6 301
 
3.0%
7 210
 
2.1%
8 176
 
1.8%
9 114
 
1.1%
Other values (362) 1847
18.5%
ValueCountFrequency (%)
0 1593
15.9%
1 1897
19.0%
2 1582
15.8%
3 1080
10.8%
4 731
 
7.3%
5 469
 
4.7%
6 301
 
3.0%
7 210
 
2.1%
8 176
 
1.8%
9 114
 
1.1%
ValueCountFrequency (%)
1414 1
< 0.1%
1079 2
< 0.1%
1048 1
< 0.1%
964 1
< 0.1%
887 2
< 0.1%
884 1
< 0.1%
846 1
< 0.1%
845 1
< 0.1%
834 1
< 0.1%
826 1
< 0.1%

58세남자
Real number (ℝ)

ZEROS 

Distinct372
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5877
Minimum0
Maximum1493
Zeros1454
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:34.661777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile101
Maximum1493
Range1493
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.004411
Coefficient of variation (CV)3.5738964
Kurtosis79.4178
Mean19.5877
Median Absolute Deviation (MAD)2
Skewness7.5406463
Sum195877
Variance4900.6176
MonotonicityNot monotonic
2024-04-06T17:56:35.381912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1744
17.4%
2 1562
15.6%
0 1454
14.5%
3 1087
10.9%
4 771
7.7%
5 535
 
5.3%
6 379
 
3.8%
7 251
 
2.5%
8 193
 
1.9%
9 131
 
1.3%
Other values (362) 1893
18.9%
ValueCountFrequency (%)
0 1454
14.5%
1 1744
17.4%
2 1562
15.6%
3 1087
10.9%
4 771
7.7%
5 535
 
5.3%
6 379
 
3.8%
7 251
 
2.5%
8 193
 
1.9%
9 131
 
1.3%
ValueCountFrequency (%)
1493 1
< 0.1%
1077 1
< 0.1%
1076 1
< 0.1%
1071 1
< 0.1%
964 1
< 0.1%
930 1
< 0.1%
908 1
< 0.1%
869 1
< 0.1%
848 1
< 0.1%
838 1
< 0.1%

59세남자
Real number (ℝ)

ZEROS 

Distinct369
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5471
Minimum0
Maximum1425
Zeros1364
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:35.710540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile100
Maximum1425
Range1425
Interquartile range (IQR)6

Descriptive statistics

Standard deviation70.097759
Coefficient of variation (CV)3.586095
Kurtosis80.074389
Mean19.5471
Median Absolute Deviation (MAD)2
Skewness7.6470683
Sum195471
Variance4913.6958
MonotonicityNot monotonic
2024-04-06T17:56:35.989558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1679
16.8%
2 1539
15.4%
0 1364
13.6%
3 1208
12.1%
4 763
7.6%
5 513
 
5.1%
6 378
 
3.8%
7 309
 
3.1%
8 198
 
2.0%
9 166
 
1.7%
Other values (359) 1883
18.8%
ValueCountFrequency (%)
0 1364
13.6%
1 1679
16.8%
2 1539
15.4%
3 1208
12.1%
4 763
7.6%
5 513
 
5.1%
6 378
 
3.8%
7 309
 
3.1%
8 198
 
2.0%
9 166
 
1.7%
ValueCountFrequency (%)
1425 1
< 0.1%
1152 1
< 0.1%
1065 1
< 0.1%
1016 1
< 0.1%
997 1
< 0.1%
970 1
< 0.1%
936 1
< 0.1%
919 1
< 0.1%
852 1
< 0.1%
851 1
< 0.1%

60세남자
Real number (ℝ)

ZEROS 

Distinct346
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.9512
Minimum0
Maximum1377
Zeros1471
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:36.268599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile89
Maximum1377
Range1377
Interquartile range (IQR)5

Descriptive statistics

Standard deviation64.078696
Coefficient of variation (CV)3.5696051
Kurtosis80.985742
Mean17.9512
Median Absolute Deviation (MAD)2
Skewness7.6331465
Sum179512
Variance4106.0792
MonotonicityNot monotonic
2024-04-06T17:56:36.570147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1759
17.6%
2 1473
14.7%
0 1471
14.7%
3 1164
11.6%
4 833
8.3%
5 522
 
5.2%
6 352
 
3.5%
7 272
 
2.7%
8 184
 
1.8%
9 134
 
1.3%
Other values (336) 1836
18.4%
ValueCountFrequency (%)
0 1471
14.7%
1 1759
17.6%
2 1473
14.7%
3 1164
11.6%
4 833
8.3%
5 522
 
5.2%
6 352
 
3.5%
7 272
 
2.7%
8 184
 
1.8%
9 134
 
1.3%
ValueCountFrequency (%)
1377 1
< 0.1%
1049 1
< 0.1%
948 1
< 0.1%
915 1
< 0.1%
907 1
< 0.1%
836 1
< 0.1%
824 1
< 0.1%
804 1
< 0.1%
793 1
< 0.1%
784 1
< 0.1%

61세남자
Real number (ℝ)

ZEROS 

Distinct370
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.1313
Minimum0
Maximum1454
Zeros1092
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:36.853455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile98.05
Maximum1454
Range1454
Interquartile range (IQR)6

Descriptive statistics

Standard deviation71.157063
Coefficient of variation (CV)3.5346482
Kurtosis81.748234
Mean20.1313
Median Absolute Deviation (MAD)2
Skewness7.7345158
Sum201313
Variance5063.3276
MonotonicityNot monotonic
2024-04-06T17:56:37.160818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1480
14.8%
2 1427
14.3%
3 1183
11.8%
0 1092
10.9%
4 900
9.0%
5 684
 
6.8%
6 450
 
4.5%
7 328
 
3.3%
8 240
 
2.4%
9 164
 
1.6%
Other values (360) 2052
20.5%
ValueCountFrequency (%)
0 1092
10.9%
1 1480
14.8%
2 1427
14.3%
3 1183
11.8%
4 900
9.0%
5 684
6.8%
6 450
 
4.5%
7 328
 
3.3%
8 240
 
2.4%
9 164
 
1.6%
ValueCountFrequency (%)
1454 1
< 0.1%
1150 1
< 0.1%
1065 1
< 0.1%
1037 1
< 0.1%
998 1
< 0.1%
992 1
< 0.1%
983 1
< 0.1%
956 1
< 0.1%
948 1
< 0.1%
927 1
< 0.1%

62세남자
Real number (ℝ)

ZEROS 

Distinct371
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.9661
Minimum0
Maximum1458
Zeros1012
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:37.469059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile96
Maximum1458
Range1458
Interquartile range (IQR)6

Descriptive statistics

Standard deviation69.493192
Coefficient of variation (CV)3.4805591
Kurtosis81.498086
Mean19.9661
Median Absolute Deviation (MAD)3
Skewness7.711781
Sum199661
Variance4829.3037
MonotonicityNot monotonic
2024-04-06T17:56:37.834393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1422
14.2%
1 1372
13.7%
3 1139
11.4%
0 1012
10.1%
4 923
9.2%
5 656
 
6.6%
6 508
 
5.1%
7 379
 
3.8%
8 273
 
2.7%
9 203
 
2.0%
Other values (361) 2113
21.1%
ValueCountFrequency (%)
0 1012
10.1%
1 1372
13.7%
2 1422
14.2%
3 1139
11.4%
4 923
9.2%
5 656
6.6%
6 508
 
5.1%
7 379
 
3.8%
8 273
 
2.7%
9 203
 
2.0%
ValueCountFrequency (%)
1458 1
< 0.1%
1141 1
< 0.1%
1038 1
< 0.1%
989 1
< 0.1%
946 1
< 0.1%
944 1
< 0.1%
938 1
< 0.1%
930 1
< 0.1%
892 1
< 0.1%
865 1
< 0.1%

63세남자
Real number (ℝ)

ZEROS 

Distinct382
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.2429
Minimum0
Maximum1511
Zeros788
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:38.223336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q39
95-th percentile102
Maximum1511
Range1511
Interquartile range (IQR)7

Descriptive statistics

Standard deviation73.056629
Coefficient of variation (CV)3.4391081
Kurtosis82.003288
Mean21.2429
Median Absolute Deviation (MAD)3
Skewness7.7462256
Sum212429
Variance5337.271
MonotonicityNot monotonic
2024-04-06T17:56:39.088837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1246
12.5%
3 1222
12.2%
1 1217
12.2%
4 961
9.6%
0 788
 
7.9%
5 773
 
7.7%
6 557
 
5.6%
7 428
 
4.3%
8 301
 
3.0%
9 231
 
2.3%
Other values (372) 2276
22.8%
ValueCountFrequency (%)
0 788
7.9%
1 1217
12.2%
2 1246
12.5%
3 1222
12.2%
4 961
9.6%
5 773
7.7%
6 557
5.6%
7 428
 
4.3%
8 301
 
3.0%
9 231
 
2.3%
ValueCountFrequency (%)
1511 1
< 0.1%
1182 1
< 0.1%
1115 1
< 0.1%
1096 1
< 0.1%
1033 1
< 0.1%
992 1
< 0.1%
990 1
< 0.1%
989 1
< 0.1%
915 1
< 0.1%
905 1
< 0.1%

64세남자
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.4736
Minimum0
Maximum1514
Zeros871
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:39.446062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile90
Maximum1514
Range1514
Interquartile range (IQR)6

Descriptive statistics

Standard deviation67.022363
Coefficient of variation (CV)3.4417038
Kurtosis88.599699
Mean19.4736
Median Absolute Deviation (MAD)3
Skewness7.9316141
Sum194736
Variance4491.9971
MonotonicityNot monotonic
2024-04-06T17:56:39.763161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1317
13.2%
1 1311
13.1%
3 1197
12.0%
4 944
9.4%
0 871
8.7%
5 702
 
7.0%
6 534
 
5.3%
7 430
 
4.3%
8 294
 
2.9%
9 229
 
2.3%
Other values (344) 2171
21.7%
ValueCountFrequency (%)
0 871
8.7%
1 1311
13.1%
2 1317
13.2%
3 1197
12.0%
4 944
9.4%
5 702
7.0%
6 534
5.3%
7 430
 
4.3%
8 294
 
2.9%
9 229
 
2.3%
ValueCountFrequency (%)
1514 1
< 0.1%
1130 1
< 0.1%
986 1
< 0.1%
952 1
< 0.1%
944 1
< 0.1%
939 1
< 0.1%
928 1
< 0.1%
863 1
< 0.1%
852 1
< 0.1%
845 1
< 0.1%

65세남자
Real number (ℝ)

ZEROS 

Distinct333
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.6959
Minimum0
Maximum1359
Zeros932
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:40.151815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile82
Maximum1359
Range1359
Interquartile range (IQR)6

Descriptive statistics

Standard deviation60.956819
Coefficient of variation (CV)3.444686
Kurtosis90.357626
Mean17.6959
Median Absolute Deviation (MAD)3
Skewness8.0282907
Sum176959
Variance3715.7338
MonotonicityNot monotonic
2024-04-06T17:56:40.452656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1391
13.9%
2 1372
13.7%
3 1249
12.5%
4 977
9.8%
0 932
9.3%
5 703
 
7.0%
6 505
 
5.1%
7 364
 
3.6%
8 250
 
2.5%
9 212
 
2.1%
Other values (323) 2045
20.4%
ValueCountFrequency (%)
0 932
9.3%
1 1391
13.9%
2 1372
13.7%
3 1249
12.5%
4 977
9.8%
5 703
7.0%
6 505
 
5.1%
7 364
 
3.6%
8 250
 
2.5%
9 212
 
2.1%
ValueCountFrequency (%)
1359 1
< 0.1%
1061 1
< 0.1%
976 1
< 0.1%
914 1
< 0.1%
876 1
< 0.1%
853 1
< 0.1%
837 1
< 0.1%
767 1
< 0.1%
749 1
< 0.1%
730 2
< 0.1%

66세남자
Real number (ℝ)

ZEROS 

Distinct339
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.0473
Minimum0
Maximum1251
Zeros960
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:40.732962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile79
Maximum1251
Range1251
Interquartile range (IQR)6

Descriptive statistics

Standard deviation58.170526
Coefficient of variation (CV)3.4123014
Kurtosis88.925669
Mean17.0473
Median Absolute Deviation (MAD)3
Skewness7.9810692
Sum170473
Variance3383.81
MonotonicityNot monotonic
2024-04-06T17:56:41.048970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1416
14.2%
1 1376
13.8%
3 1233
12.3%
0 960
9.6%
4 933
9.3%
5 692
 
6.9%
6 518
 
5.2%
7 358
 
3.6%
8 255
 
2.5%
9 205
 
2.1%
Other values (329) 2054
20.5%
ValueCountFrequency (%)
0 960
9.6%
1 1376
13.8%
2 1416
14.2%
3 1233
12.3%
4 933
9.3%
5 692
6.9%
6 518
 
5.2%
7 358
 
3.6%
8 255
 
2.5%
9 205
 
2.1%
ValueCountFrequency (%)
1251 1
< 0.1%
1035 1
< 0.1%
971 1
< 0.1%
892 1
< 0.1%
854 1
< 0.1%
808 1
< 0.1%
807 1
< 0.1%
768 1
< 0.1%
723 1
< 0.1%
696 1
< 0.1%

67세남자
Real number (ℝ)

ZEROS 

Distinct312
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5886
Minimum0
Maximum1169
Zeros1067
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:41.431055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median3
Q37
95-th percentile70
Maximum1169
Range1169
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation52.85824
Coefficient of variation (CV)3.3908266
Kurtosis91.722908
Mean15.5886
Median Absolute Deviation (MAD)2
Skewness8.0647671
Sum155886
Variance2793.9935
MonotonicityNot monotonic
2024-04-06T17:56:41.680076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1433
14.3%
2 1407
14.1%
3 1250
12.5%
0 1067
10.7%
4 890
8.9%
5 706
 
7.1%
6 506
 
5.1%
7 349
 
3.5%
8 296
 
3.0%
9 196
 
2.0%
Other values (302) 1900
19.0%
ValueCountFrequency (%)
0 1067
10.7%
1 1433
14.3%
2 1407
14.1%
3 1250
12.5%
4 890
8.9%
5 706
7.1%
6 506
 
5.1%
7 349
 
3.5%
8 296
 
3.0%
9 196
 
2.0%
ValueCountFrequency (%)
1169 1
< 0.1%
955 1
< 0.1%
892 1
< 0.1%
815 1
< 0.1%
795 1
< 0.1%
747 1
< 0.1%
696 1
< 0.1%
665 1
< 0.1%
654 1
< 0.1%
646 1
< 0.1%

68세남자
Real number (ℝ)

ZEROS 

Distinct311
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.9291
Minimum0
Maximum1234
Zeros1089
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:41.915186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile65
Maximum1234
Range1234
Interquartile range (IQR)6

Descriptive statistics

Standard deviation51.140788
Coefficient of variation (CV)3.4255774
Kurtosis105.79519
Mean14.9291
Median Absolute Deviation (MAD)2
Skewness8.4885909
Sum149291
Variance2615.3802
MonotonicityNot monotonic
2024-04-06T17:56:42.231107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1480
14.8%
2 1455
14.5%
3 1274
12.7%
0 1089
10.9%
4 912
9.1%
5 654
 
6.5%
6 470
 
4.7%
7 349
 
3.5%
8 253
 
2.5%
9 206
 
2.1%
Other values (301) 1858
18.6%
ValueCountFrequency (%)
0 1089
10.9%
1 1480
14.8%
2 1455
14.5%
3 1274
12.7%
4 912
9.1%
5 654
6.5%
6 470
 
4.7%
7 349
 
3.5%
8 253
 
2.5%
9 206
 
2.1%
ValueCountFrequency (%)
1234 1
< 0.1%
994 1
< 0.1%
882 1
< 0.1%
782 1
< 0.1%
761 1
< 0.1%
750 1
< 0.1%
710 1
< 0.1%
689 1
< 0.1%
671 1
< 0.1%
643 1
< 0.1%

69세남자
Real number (ℝ)

ZEROS 

Distinct296
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.8668
Minimum0
Maximum1183
Zeros1011
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:42.501253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q37
95-th percentile65.05
Maximum1183
Range1183
Interquartile range (IQR)5

Descriptive statistics

Standard deviation50.625055
Coefficient of variation (CV)3.4052422
Kurtosis106.97628
Mean14.8668
Median Absolute Deviation (MAD)2
Skewness8.5662598
Sum148668
Variance2562.8961
MonotonicityNot monotonic
2024-04-06T17:56:42.756333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1499
15.0%
1 1477
14.8%
3 1213
12.1%
0 1011
10.1%
4 946
9.5%
5 673
 
6.7%
6 492
 
4.9%
7 346
 
3.5%
8 251
 
2.5%
9 192
 
1.9%
Other values (286) 1900
19.0%
ValueCountFrequency (%)
0 1011
10.1%
1 1477
14.8%
2 1499
15.0%
3 1213
12.1%
4 946
9.5%
5 673
6.7%
6 492
 
4.9%
7 346
 
3.5%
8 251
 
2.5%
9 192
 
1.9%
ValueCountFrequency (%)
1183 1
< 0.1%
999 1
< 0.1%
942 1
< 0.1%
809 1
< 0.1%
767 1
< 0.1%
749 1
< 0.1%
704 1
< 0.1%
654 1
< 0.1%
637 1
< 0.1%
634 1
< 0.1%

70세남자
Real number (ℝ)

ZEROS 

Distinct261
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3191
Minimum0
Maximum886
Zeros1471
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:43.010860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile49
Maximum886
Range886
Interquartile range (IQR)4

Descriptive statistics

Standard deviation38.848107
Coefficient of variation (CV)3.4320844
Kurtosis107.30217
Mean11.3191
Median Absolute Deviation (MAD)2
Skewness8.6005045
Sum113191
Variance1509.1754
MonotonicityNot monotonic
2024-04-06T17:56:43.322593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1873
18.7%
2 1571
15.7%
0 1471
14.7%
3 1256
12.6%
4 823
8.2%
5 546
 
5.5%
6 362
 
3.6%
7 248
 
2.5%
8 185
 
1.8%
9 147
 
1.5%
Other values (251) 1518
15.2%
ValueCountFrequency (%)
0 1471
14.7%
1 1873
18.7%
2 1571
15.7%
3 1256
12.6%
4 823
8.2%
5 546
 
5.5%
6 362
 
3.6%
7 248
 
2.5%
8 185
 
1.8%
9 147
 
1.5%
ValueCountFrequency (%)
886 1
< 0.1%
783 1
< 0.1%
756 1
< 0.1%
614 1
< 0.1%
578 1
< 0.1%
577 1
< 0.1%
517 1
< 0.1%
494 1
< 0.1%
482 1
< 0.1%
467 1
< 0.1%

71세남자
Real number (ℝ)

ZEROS 

Distinct258
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.8847
Minimum0
Maximum958
Zeros1359
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:43.565809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile51
Maximum958
Range958
Interquartile range (IQR)5

Descriptive statistics

Standard deviation40.723989
Coefficient of variation (CV)3.4265895
Kurtosis108.02465
Mean11.8847
Median Absolute Deviation (MAD)2
Skewness8.6319537
Sum118847
Variance1658.4433
MonotonicityNot monotonic
2024-04-06T17:56:43.816376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1752
17.5%
2 1628
16.3%
0 1359
13.6%
3 1196
12.0%
4 875
8.8%
5 557
 
5.6%
6 386
 
3.9%
7 295
 
2.9%
8 216
 
2.2%
9 133
 
1.3%
Other values (248) 1603
16.0%
ValueCountFrequency (%)
0 1359
13.6%
1 1752
17.5%
2 1628
16.3%
3 1196
12.0%
4 875
8.8%
5 557
 
5.6%
6 386
 
3.9%
7 295
 
2.9%
8 216
 
2.2%
9 133
 
1.3%
ValueCountFrequency (%)
958 1
< 0.1%
788 1
< 0.1%
756 1
< 0.1%
644 1
< 0.1%
637 1
< 0.1%
625 1
< 0.1%
566 1
< 0.1%
522 1
< 0.1%
509 1
< 0.1%
502 1
< 0.1%

72세남자
Real number (ℝ)

ZEROS 

Distinct231
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8064
Minimum0
Maximum889
Zeros1585
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:44.043929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile43
Maximum889
Range889
Interquartile range (IQR)4

Descriptive statistics

Standard deviation33.633752
Coefficient of variation (CV)3.4297756
Kurtosis134.63832
Mean9.8064
Median Absolute Deviation (MAD)2
Skewness9.3379944
Sum98064
Variance1131.2292
MonotonicityNot monotonic
2024-04-06T17:56:44.333642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1967
19.7%
2 1632
16.3%
0 1585
15.8%
3 1243
12.4%
4 795
8.0%
5 518
 
5.2%
6 336
 
3.4%
7 240
 
2.4%
8 159
 
1.6%
9 132
 
1.3%
Other values (221) 1393
13.9%
ValueCountFrequency (%)
0 1585
15.8%
1 1967
19.7%
2 1632
16.3%
3 1243
12.4%
4 795
8.0%
5 518
 
5.2%
6 336
 
3.4%
7 240
 
2.4%
8 159
 
1.6%
9 132
 
1.3%
ValueCountFrequency (%)
889 1
< 0.1%
737 1
< 0.1%
668 1
< 0.1%
546 1
< 0.1%
529 1
< 0.1%
472 1
< 0.1%
427 1
< 0.1%
426 1
< 0.1%
421 1
< 0.1%
411 1
< 0.1%

73세남자
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.948
Minimum0
Maximum810
Zeros1804
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:44.567692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile38
Maximum810
Range810
Interquartile range (IQR)4

Descriptive statistics

Standard deviation31.089081
Coefficient of variation (CV)3.4744167
Kurtosis137.56708
Mean8.948
Median Absolute Deviation (MAD)2
Skewness9.4751604
Sum89480
Variance966.53095
MonotonicityNot monotonic
2024-04-06T17:56:44.829556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2121
21.2%
0 1804
18.0%
2 1660
16.6%
3 1151
11.5%
4 696
 
7.0%
5 491
 
4.9%
6 296
 
3.0%
7 217
 
2.2%
8 142
 
1.4%
9 126
 
1.3%
Other values (208) 1296
13.0%
ValueCountFrequency (%)
0 1804
18.0%
1 2121
21.2%
2 1660
16.6%
3 1151
11.5%
4 696
 
7.0%
5 491
 
4.9%
6 296
 
3.0%
7 217
 
2.2%
8 142
 
1.4%
9 126
 
1.3%
ValueCountFrequency (%)
810 1
< 0.1%
706 1
< 0.1%
629 1
< 0.1%
493 1
< 0.1%
483 1
< 0.1%
454 1
< 0.1%
409 1
< 0.1%
398 1
< 0.1%
381 1
< 0.1%
380 1
< 0.1%

74세남자
Real number (ℝ)

ZEROS 

Distinct222
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1791
Minimum0
Maximum889
Zeros1711
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:45.109719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile39
Maximum889
Range889
Interquartile range (IQR)4

Descriptive statistics

Standard deviation31.576658
Coefficient of variation (CV)3.4400604
Kurtosis146.06362
Mean9.1791
Median Absolute Deviation (MAD)2
Skewness9.634831
Sum91791
Variance997.08533
MonotonicityNot monotonic
2024-04-06T17:56:45.372404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1986
19.9%
0 1711
17.1%
2 1649
16.5%
3 1222
12.2%
4 750
 
7.5%
5 498
 
5.0%
6 311
 
3.1%
7 223
 
2.2%
8 177
 
1.8%
9 127
 
1.3%
Other values (212) 1346
13.5%
ValueCountFrequency (%)
0 1711
17.1%
1 1986
19.9%
2 1649
16.5%
3 1222
12.2%
4 750
 
7.5%
5 498
 
5.0%
6 311
 
3.1%
7 223
 
2.2%
8 177
 
1.8%
9 127
 
1.3%
ValueCountFrequency (%)
889 1
< 0.1%
686 1
< 0.1%
607 1
< 0.1%
505 1
< 0.1%
465 1
< 0.1%
458 1
< 0.1%
418 1
< 0.1%
416 1
< 0.1%
408 1
< 0.1%
393 1
< 0.1%

75세남자
Real number (ℝ)

ZEROS 

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.847
Minimum0
Maximum839
Zeros1703
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:45.664860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile36
Maximum839
Range839
Interquartile range (IQR)4

Descriptive statistics

Standard deviation30.457721
Coefficient of variation (CV)3.4427174
Kurtosis141.99867
Mean8.847
Median Absolute Deviation (MAD)2
Skewness9.5857376
Sum88470
Variance927.67276
MonotonicityNot monotonic
2024-04-06T17:56:45.941736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2085
20.8%
0 1703
17.0%
2 1656
16.6%
3 1192
11.9%
4 787
 
7.9%
5 485
 
4.9%
6 311
 
3.1%
7 207
 
2.1%
8 155
 
1.6%
9 102
 
1.0%
Other values (205) 1317
13.2%
ValueCountFrequency (%)
0 1703
17.0%
1 2085
20.8%
2 1656
16.6%
3 1192
11.9%
4 787
 
7.9%
5 485
 
4.9%
6 311
 
3.1%
7 207
 
2.1%
8 155
 
1.6%
9 102
 
1.0%
ValueCountFrequency (%)
839 1
< 0.1%
646 1
< 0.1%
600 1
< 0.1%
461 1
< 0.1%
460 1
< 0.1%
441 1
< 0.1%
424 1
< 0.1%
395 2
< 0.1%
378 1
< 0.1%
374 1
< 0.1%

76세남자
Real number (ℝ)

ZEROS 

Distinct204
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5418
Minimum0
Maximum792
Zeros1781
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:46.242175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile35
Maximum792
Range792
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.312717
Coefficient of variation (CV)3.4316792
Kurtosis140.98892
Mean8.5418
Median Absolute Deviation (MAD)2
Skewness9.545289
Sum85418
Variance859.23538
MonotonicityNot monotonic
2024-04-06T17:56:46.563371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2096
21.0%
0 1781
17.8%
2 1671
16.7%
3 1148
11.5%
4 772
 
7.7%
5 458
 
4.6%
6 317
 
3.2%
7 227
 
2.3%
8 153
 
1.5%
9 102
 
1.0%
Other values (194) 1275
12.8%
ValueCountFrequency (%)
0 1781
17.8%
1 2096
21.0%
2 1671
16.7%
3 1148
11.5%
4 772
 
7.7%
5 458
 
4.6%
6 317
 
3.2%
7 227
 
2.3%
8 153
 
1.5%
9 102
 
1.0%
ValueCountFrequency (%)
792 1
< 0.1%
676 1
< 0.1%
531 1
< 0.1%
492 1
< 0.1%
418 1
< 0.1%
387 1
< 0.1%
386 1
< 0.1%
385 1
< 0.1%
379 1
< 0.1%
368 1
< 0.1%

77세남자
Real number (ℝ)

ZEROS 

Distinct203
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7787
Minimum0
Maximum720
Zeros2066
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:46.858140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile33
Maximum720
Range720
Interquartile range (IQR)3

Descriptive statistics

Standard deviation26.887232
Coefficient of variation (CV)3.4565199
Kurtosis143.66057
Mean7.7787
Median Absolute Deviation (MAD)2
Skewness9.6362055
Sum77787
Variance722.92322
MonotonicityNot monotonic
2024-04-06T17:56:47.743863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2142
21.4%
0 2066
20.7%
2 1692
16.9%
3 1120
11.2%
4 657
 
6.6%
5 424
 
4.2%
6 249
 
2.5%
7 200
 
2.0%
8 145
 
1.5%
9 101
 
1.0%
Other values (193) 1204
12.0%
ValueCountFrequency (%)
0 2066
20.7%
1 2142
21.4%
2 1692
16.9%
3 1120
11.2%
4 657
 
6.6%
5 424
 
4.2%
6 249
 
2.5%
7 200
 
2.0%
8 145
 
1.5%
9 101
 
1.0%
ValueCountFrequency (%)
720 1
< 0.1%
640 1
< 0.1%
499 1
< 0.1%
410 1
< 0.1%
402 1
< 0.1%
399 1
< 0.1%
356 1
< 0.1%
349 1
< 0.1%
335 2
< 0.1%
331 1
< 0.1%

78세남자
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5473
Minimum0
Maximum542
Zeros2953
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:48.067283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum542
Range542
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.600642
Coefficient of variation (CV)3.5333662
Kurtosis153.0097
Mean5.5473
Median Absolute Deviation (MAD)1
Skewness9.8630241
Sum55473
Variance384.18518
MonotonicityNot monotonic
2024-04-06T17:56:48.453516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2953
29.5%
1 2543
25.4%
2 1490
14.9%
3 818
 
8.2%
4 456
 
4.6%
5 281
 
2.8%
6 169
 
1.7%
7 145
 
1.5%
8 116
 
1.2%
10 80
 
0.8%
Other values (152) 949
 
9.5%
ValueCountFrequency (%)
0 2953
29.5%
1 2543
25.4%
2 1490
14.9%
3 818
 
8.2%
4 456
 
4.6%
5 281
 
2.8%
6 169
 
1.7%
7 145
 
1.5%
8 116
 
1.2%
9 77
 
0.8%
ValueCountFrequency (%)
542 1
< 0.1%
485 1
< 0.1%
333 1
< 0.1%
305 1
< 0.1%
300 1
< 0.1%
280 1
< 0.1%
253 1
< 0.1%
252 2
< 0.1%
251 1
< 0.1%
248 1
< 0.1%

79세남자
Real number (ℝ)

ZEROS 

Distinct161
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.812
Minimum0
Maximum586
Zeros2708
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:48.908481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum586
Range586
Interquartile range (IQR)3

Descriptive statistics

Standard deviation20.190186
Coefficient of variation (CV)3.4738793
Kurtosis156.73685
Mean5.812
Median Absolute Deviation (MAD)1
Skewness9.9107801
Sum58120
Variance407.64362
MonotonicityNot monotonic
2024-04-06T17:56:49.191231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2708
27.1%
1 2459
24.6%
2 1604
16.0%
3 882
 
8.8%
4 511
 
5.1%
5 332
 
3.3%
6 223
 
2.2%
7 127
 
1.3%
8 118
 
1.2%
9 74
 
0.7%
Other values (151) 962
 
9.6%
ValueCountFrequency (%)
0 2708
27.1%
1 2459
24.6%
2 1604
16.0%
3 882
 
8.8%
4 511
 
5.1%
5 332
 
3.3%
6 223
 
2.2%
7 127
 
1.3%
8 118
 
1.2%
9 74
 
0.7%
ValueCountFrequency (%)
586 1
< 0.1%
460 1
< 0.1%
365 1
< 0.1%
316 1
< 0.1%
306 1
< 0.1%
294 1
< 0.1%
268 2
< 0.1%
263 1
< 0.1%
233 2
< 0.1%
232 1
< 0.1%

80세남자
Real number (ℝ)

ZEROS 

Distinct155
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1221
Minimum0
Maximum527
Zeros2970
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:49.485964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20.05
Maximum527
Range527
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.061523
Coefficient of variation (CV)3.5261949
Kurtosis168.16027
Mean5.1221
Median Absolute Deviation (MAD)1
Skewness10.242524
Sum51221
Variance326.21861
MonotonicityNot monotonic
2024-04-06T17:56:49.804012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2970
29.7%
1 2562
25.6%
2 1531
15.3%
3 860
 
8.6%
4 466
 
4.7%
5 272
 
2.7%
6 167
 
1.7%
7 142
 
1.4%
8 90
 
0.9%
9 63
 
0.6%
Other values (145) 877
 
8.8%
ValueCountFrequency (%)
0 2970
29.7%
1 2562
25.6%
2 1531
15.3%
3 860
 
8.6%
4 466
 
4.7%
5 272
 
2.7%
6 167
 
1.7%
7 142
 
1.4%
8 90
 
0.9%
9 63
 
0.6%
ValueCountFrequency (%)
527 1
< 0.1%
438 1
< 0.1%
334 1
< 0.1%
320 1
< 0.1%
265 1
< 0.1%
255 1
< 0.1%
251 1
< 0.1%
245 1
< 0.1%
226 1
< 0.1%
218 1
< 0.1%

81세남자
Real number (ℝ)

ZEROS 

Distinct168
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2784
Minimum0
Maximum677
Zeros2177
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:50.204448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile25
Maximum677
Range677
Interquartile range (IQR)3

Descriptive statistics

Standard deviation21.764854
Coefficient of variation (CV)3.4666243
Kurtosis208.04058
Mean6.2784
Median Absolute Deviation (MAD)1
Skewness11.191352
Sum62784
Variance473.70886
MonotonicityNot monotonic
2024-04-06T17:56:50.573605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2362
23.6%
0 2177
21.8%
2 1783
17.8%
3 1020
10.2%
4 620
 
6.2%
5 404
 
4.0%
6 262
 
2.6%
7 168
 
1.7%
8 104
 
1.0%
9 87
 
0.9%
Other values (158) 1013
10.1%
ValueCountFrequency (%)
0 2177
21.8%
1 2362
23.6%
2 1783
17.8%
3 1020
10.2%
4 620
 
6.2%
5 404
 
4.0%
6 262
 
2.6%
7 168
 
1.7%
8 104
 
1.0%
9 87
 
0.9%
ValueCountFrequency (%)
677 1
< 0.1%
590 1
< 0.1%
418 1
< 0.1%
372 1
< 0.1%
352 1
< 0.1%
321 1
< 0.1%
287 1
< 0.1%
283 1
< 0.1%
280 1
< 0.1%
270 1
< 0.1%

82세남자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2867
Minimum0
Maximum493
Zeros2558
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:50.897217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile19
Maximum493
Range493
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.947649
Coefficient of variation (CV)3.3948681
Kurtosis168.34518
Mean5.2867
Median Absolute Deviation (MAD)1
Skewness10.338457
Sum52867
Variance322.11811
MonotonicityNot monotonic
2024-04-06T17:56:51.201152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2558
25.6%
1 2427
24.3%
2 1698
17.0%
3 979
 
9.8%
4 564
 
5.6%
5 333
 
3.3%
6 199
 
2.0%
7 165
 
1.7%
8 114
 
1.1%
9 78
 
0.8%
Other values (139) 885
 
8.8%
ValueCountFrequency (%)
0 2558
25.6%
1 2427
24.3%
2 1698
17.0%
3 979
 
9.8%
4 564
 
5.6%
5 333
 
3.3%
6 199
 
2.0%
7 165
 
1.7%
8 114
 
1.1%
9 78
 
0.8%
ValueCountFrequency (%)
493 1
< 0.1%
469 1
< 0.1%
336 1
< 0.1%
310 1
< 0.1%
286 1
< 0.1%
284 1
< 0.1%
254 1
< 0.1%
252 1
< 0.1%
233 1
< 0.1%
207 2
< 0.1%

83세남자
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9608
Minimum0
Maximum367
Zeros3263
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:51.471202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16
Maximum367
Range367
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.310153
Coefficient of variation (CV)3.3604709
Kurtosis160.36731
Mean3.9608
Median Absolute Deviation (MAD)1
Skewness10.076802
Sum39608
Variance177.16018
MonotonicityNot monotonic
2024-04-06T17:56:51.773651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3263
32.6%
1 2579
25.8%
2 1581
15.8%
3 807
 
8.1%
4 422
 
4.2%
5 228
 
2.3%
6 161
 
1.6%
7 103
 
1.0%
9 68
 
0.7%
8 65
 
0.7%
Other values (115) 723
 
7.2%
ValueCountFrequency (%)
0 3263
32.6%
1 2579
25.8%
2 1581
15.8%
3 807
 
8.1%
4 422
 
4.2%
5 228
 
2.3%
6 161
 
1.6%
7 103
 
1.0%
8 65
 
0.7%
9 68
 
0.7%
ValueCountFrequency (%)
367 1
< 0.1%
329 1
< 0.1%
273 1
< 0.1%
227 1
< 0.1%
215 1
< 0.1%
196 1
< 0.1%
163 1
< 0.1%
159 1
< 0.1%
158 1
< 0.1%
154 1
< 0.1%

84세남자
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6724
Minimum0
Maximum357
Zeros3254
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:52.059100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile14
Maximum357
Range357
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.250718
Coefficient of variation (CV)3.3358887
Kurtosis172.76291
Mean3.6724
Median Absolute Deviation (MAD)1
Skewness10.36773
Sum36724
Variance150.08009
MonotonicityNot monotonic
2024-04-06T17:56:52.365389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3254
32.5%
1 2765
27.7%
2 1512
15.1%
3 751
 
7.5%
4 411
 
4.1%
5 270
 
2.7%
6 140
 
1.4%
7 88
 
0.9%
8 74
 
0.7%
10 66
 
0.7%
Other values (107) 669
 
6.7%
ValueCountFrequency (%)
0 3254
32.5%
1 2765
27.7%
2 1512
15.1%
3 751
 
7.5%
4 411
 
4.1%
5 270
 
2.7%
6 140
 
1.4%
7 88
 
0.9%
8 74
 
0.7%
9 52
 
0.5%
ValueCountFrequency (%)
357 1
< 0.1%
312 1
< 0.1%
224 1
< 0.1%
194 1
< 0.1%
187 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
156 1
< 0.1%
152 1
< 0.1%
148 1
< 0.1%

85세남자
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.13
Minimum0
Maximum298
Zeros3627
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:52.652094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile12
Maximum298
Range298
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.186505
Coefficient of variation (CV)3.2544743
Kurtosis164.01987
Mean3.13
Median Absolute Deviation (MAD)1
Skewness10.079142
Sum31300
Variance103.76488
MonotonicityNot monotonic
2024-04-06T17:56:52.924216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3627
36.3%
1 2714
27.1%
2 1487
14.9%
3 697
 
7.0%
4 351
 
3.5%
5 182
 
1.8%
6 129
 
1.3%
7 92
 
0.9%
9 60
 
0.6%
8 57
 
0.6%
Other values (93) 604
 
6.0%
ValueCountFrequency (%)
0 3627
36.3%
1 2714
27.1%
2 1487
14.9%
3 697
 
7.0%
4 351
 
3.5%
5 182
 
1.8%
6 129
 
1.3%
7 92
 
0.9%
8 57
 
0.6%
9 60
 
0.6%
ValueCountFrequency (%)
298 1
< 0.1%
245 1
< 0.1%
176 1
< 0.1%
166 1
< 0.1%
159 1
< 0.1%
156 1
< 0.1%
143 1
< 0.1%
135 1
< 0.1%
126 1
< 0.1%
125 1
< 0.1%

86세남자
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.549
Minimum0
Maximum234
Zeros4226
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:53.208606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum234
Range234
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.293689
Coefficient of variation (CV)3.253703
Kurtosis145.939
Mean2.549
Median Absolute Deviation (MAD)1
Skewness9.6360817
Sum25490
Variance68.785278
MonotonicityNot monotonic
2024-04-06T17:56:53.462660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4226
42.3%
1 2697
27.0%
2 1253
 
12.5%
3 589
 
5.9%
4 295
 
2.9%
5 161
 
1.6%
6 93
 
0.9%
7 82
 
0.8%
8 55
 
0.5%
10 49
 
0.5%
Other values (79) 500
 
5.0%
ValueCountFrequency (%)
0 4226
42.3%
1 2697
27.0%
2 1253
 
12.5%
3 589
 
5.9%
4 295
 
2.9%
5 161
 
1.6%
6 93
 
0.9%
7 82
 
0.8%
8 55
 
0.5%
9 30
 
0.3%
ValueCountFrequency (%)
234 1
< 0.1%
176 1
< 0.1%
153 1
< 0.1%
139 2
< 0.1%
114 1
< 0.1%
113 1
< 0.1%
112 1
< 0.1%
95 1
< 0.1%
94 2
< 0.1%
93 2
< 0.1%

87세남자
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1334
Minimum0
Maximum147
Zeros4488
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:53.735036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum147
Range147
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.7110139
Coefficient of variation (CV)3.1456895
Kurtosis120.52041
Mean2.1334
Median Absolute Deviation (MAD)1
Skewness9.0597382
Sum21334
Variance45.037708
MonotonicityNot monotonic
2024-04-06T17:56:54.014867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4488
44.9%
1 2724
27.2%
2 1214
 
12.1%
3 507
 
5.1%
4 248
 
2.5%
5 136
 
1.4%
6 95
 
0.9%
7 64
 
0.6%
8 59
 
0.6%
9 40
 
0.4%
Other values (68) 425
 
4.2%
ValueCountFrequency (%)
0 4488
44.9%
1 2724
27.2%
2 1214
 
12.1%
3 507
 
5.1%
4 248
 
2.5%
5 136
 
1.4%
6 95
 
0.9%
7 64
 
0.6%
8 59
 
0.6%
9 40
 
0.4%
ValueCountFrequency (%)
147 1
 
< 0.1%
144 1
 
< 0.1%
140 1
 
< 0.1%
128 1
 
< 0.1%
109 1
 
< 0.1%
105 1
 
< 0.1%
89 1
 
< 0.1%
83 3
< 0.1%
76 2
< 0.1%
73 1
 
< 0.1%

88세남자
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6983
Minimum0
Maximum149
Zeros5134
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:54.300478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum149
Range149
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.4532789
Coefficient of variation (CV)3.2110221
Kurtosis143.1024
Mean1.6983
Median Absolute Deviation (MAD)0
Skewness9.6311592
Sum16983
Variance29.738251
MonotonicityNot monotonic
2024-04-06T17:56:54.603008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5134
51.3%
1 2594
25.9%
2 1000
 
10.0%
3 381
 
3.8%
4 212
 
2.1%
5 97
 
1.0%
6 85
 
0.9%
7 60
 
0.6%
8 48
 
0.5%
10 35
 
0.4%
Other values (54) 354
 
3.5%
ValueCountFrequency (%)
0 5134
51.3%
1 2594
25.9%
2 1000
 
10.0%
3 381
 
3.8%
4 212
 
2.1%
5 97
 
1.0%
6 85
 
0.9%
7 60
 
0.6%
8 48
 
0.5%
9 35
 
0.4%
ValueCountFrequency (%)
149 1
< 0.1%
114 1
< 0.1%
108 1
< 0.1%
89 2
< 0.1%
76 2
< 0.1%
75 2
< 0.1%
72 1
< 0.1%
68 1
< 0.1%
66 1
< 0.1%
61 1
< 0.1%

89세남자
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3002
Minimum0
Maximum99
Zeros5767
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:54.898241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.1678552
Coefficient of variation (CV)3.2055493
Kurtosis124.75006
Mean1.3002
Median Absolute Deviation (MAD)0
Skewness9.1912329
Sum13002
Variance17.371017
MonotonicityNot monotonic
2024-04-06T17:56:55.210920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5767
57.7%
1 2387
23.9%
2 864
 
8.6%
3 307
 
3.1%
4 139
 
1.4%
5 76
 
0.8%
6 70
 
0.7%
7 49
 
0.5%
9 42
 
0.4%
10 36
 
0.4%
Other values (46) 263
 
2.6%
ValueCountFrequency (%)
0 5767
57.7%
1 2387
23.9%
2 864
 
8.6%
3 307
 
3.1%
4 139
 
1.4%
5 76
 
0.8%
6 70
 
0.7%
7 49
 
0.5%
8 30
 
0.3%
9 42
 
0.4%
ValueCountFrequency (%)
99 1
< 0.1%
89 1
< 0.1%
77 1
< 0.1%
74 1
< 0.1%
69 1
< 0.1%
67 1
< 0.1%
59 2
< 0.1%
58 1
< 0.1%
52 1
< 0.1%
50 1
< 0.1%

90세남자
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9225
Minimum0
Maximum83
Zeros6516
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:55.526135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum83
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9762022
Coefficient of variation (CV)3.2262354
Kurtosis137.55303
Mean0.9225
Median Absolute Deviation (MAD)0
Skewness9.2931659
Sum9225
Variance8.8577795
MonotonicityNot monotonic
2024-04-06T17:56:55.805917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 6516
65.2%
1 2143
 
21.4%
2 595
 
5.9%
3 235
 
2.4%
4 112
 
1.1%
5 72
 
0.7%
6 50
 
0.5%
7 40
 
0.4%
8 31
 
0.3%
9 23
 
0.2%
Other values (33) 183
 
1.8%
ValueCountFrequency (%)
0 6516
65.2%
1 2143
 
21.4%
2 595
 
5.9%
3 235
 
2.4%
4 112
 
1.1%
5 72
 
0.7%
6 50
 
0.5%
7 40
 
0.4%
8 31
 
0.3%
9 23
 
0.2%
ValueCountFrequency (%)
83 1
< 0.1%
58 1
< 0.1%
56 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
42 2
< 0.1%
39 1
< 0.1%
37 2
< 0.1%
36 1
< 0.1%

91세남자
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6836
Minimum0
Maximum44
Zeros7129
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:56.068310image/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 deviation2.2043541
Coefficient of variation (CV)3.2246256
Kurtosis91.88568
Mean0.6836
Median Absolute Deviation (MAD)0
Skewness7.9803772
Sum6836
Variance4.859177
MonotonicityNot monotonic
2024-04-06T17:56:56.833815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 7129
71.3%
1 1848
 
18.5%
2 470
 
4.7%
3 166
 
1.7%
4 78
 
0.8%
5 52
 
0.5%
6 45
 
0.4%
7 32
 
0.3%
8 28
 
0.3%
9 27
 
0.3%
Other values (23) 125
 
1.2%
ValueCountFrequency (%)
0 7129
71.3%
1 1848
 
18.5%
2 470
 
4.7%
3 166
 
1.7%
4 78
 
0.8%
5 52
 
0.5%
6 45
 
0.4%
7 32
 
0.3%
8 28
 
0.3%
9 27
 
0.3%
ValueCountFrequency (%)
44 1
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%
38 1
 
< 0.1%
34 1
 
< 0.1%
30 1
 
< 0.1%
29 2
 
< 0.1%
25 2
 
< 0.1%
24 5
0.1%
23 3
< 0.1%

92세남자
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4835
Minimum0
Maximum31
Zeros7698
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:57.109426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6394501
Coefficient of variation (CV)3.3907964
Kurtosis94.636541
Mean0.4835
Median Absolute Deviation (MAD)0
Skewness8.2350233
Sum4835
Variance2.6877965
MonotonicityNot monotonic
2024-04-06T17:56:57.368237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7698
77.0%
1 1561
 
15.6%
2 335
 
3.4%
3 123
 
1.2%
4 78
 
0.8%
5 50
 
0.5%
6 35
 
0.4%
7 24
 
0.2%
10 14
 
0.1%
9 13
 
0.1%
Other values (17) 69
 
0.7%
ValueCountFrequency (%)
0 7698
77.0%
1 1561
 
15.6%
2 335
 
3.4%
3 123
 
1.2%
4 78
 
0.8%
5 50
 
0.5%
6 35
 
0.4%
7 24
 
0.2%
8 13
 
0.1%
9 13
 
0.1%
ValueCountFrequency (%)
31 1
 
< 0.1%
29 2
 
< 0.1%
28 1
 
< 0.1%
26 1
 
< 0.1%
23 2
 
< 0.1%
22 3
< 0.1%
21 2
 
< 0.1%
19 2
 
< 0.1%
18 4
< 0.1%
17 5
0.1%

93세남자
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3153
Minimum0
Maximum24
Zeros8284
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:57.643553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1216112
Coefficient of variation (CV)3.5572826
Kurtosis102.4801
Mean0.3153
Median Absolute Deviation (MAD)0
Skewness8.3005198
Sum3153
Variance1.2580117
MonotonicityNot monotonic
2024-04-06T17:56:57.876729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8284
82.8%
1 1216
 
12.2%
2 241
 
2.4%
3 85
 
0.9%
4 44
 
0.4%
5 38
 
0.4%
6 31
 
0.3%
7 14
 
0.1%
8 14
 
0.1%
11 7
 
0.1%
Other values (11) 26
 
0.3%
ValueCountFrequency (%)
0 8284
82.8%
1 1216
 
12.2%
2 241
 
2.4%
3 85
 
0.9%
4 44
 
0.4%
5 38
 
0.4%
6 31
 
0.3%
7 14
 
0.1%
8 14
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
18 1
 
< 0.1%
17 2
 
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%
13 4
< 0.1%
12 6
0.1%
11 7
0.1%

94세남자
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391
Minimum0
Maximum15
Zeros8619
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:58.102981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89454525
Coefficient of variation (CV)3.7413018
Kurtosis78.998842
Mean0.2391
Median Absolute Deviation (MAD)0
Skewness7.5679403
Sum2391
Variance0.80021121
MonotonicityNot monotonic
2024-04-06T17:56:58.583366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 8619
86.2%
1 1005
 
10.1%
2 180
 
1.8%
3 63
 
0.6%
4 49
 
0.5%
5 25
 
0.2%
6 13
 
0.1%
7 11
 
0.1%
9 9
 
0.1%
10 8
 
0.1%
Other values (6) 18
 
0.2%
ValueCountFrequency (%)
0 8619
86.2%
1 1005
 
10.1%
2 180
 
1.8%
3 63
 
0.6%
4 49
 
0.5%
5 25
 
0.2%
6 13
 
0.1%
7 11
 
0.1%
8 6
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
15 2
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%
11 4
 
< 0.1%
10 8
0.1%
9 9
0.1%
8 6
0.1%
7 11
0.1%
6 13
0.1%

95세남자
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1644
Minimum0
Maximum13
Zeros8972
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:58.886196image/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 deviation0.68368076
Coefficient of variation (CV)4.1586421
Kurtosis103.60464
Mean0.1644
Median Absolute Deviation (MAD)0
Skewness8.4447692
Sum1644
Variance0.46741938
MonotonicityNot monotonic
2024-04-06T17:56:59.199905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8972
89.7%
1 765
 
7.6%
2 132
 
1.3%
3 60
 
0.6%
4 25
 
0.2%
5 16
 
0.2%
7 9
 
0.1%
8 5
 
0.1%
6 5
 
0.1%
12 4
 
< 0.1%
Other values (4) 7
 
0.1%
ValueCountFrequency (%)
0 8972
89.7%
1 765
 
7.6%
2 132
 
1.3%
3 60
 
0.6%
4 25
 
0.2%
5 16
 
0.2%
6 5
 
0.1%
7 9
 
0.1%
8 5
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 4
 
< 0.1%
11 3
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
8 5
 
0.1%
7 9
 
0.1%
6 5
 
0.1%
5 16
0.2%
4 25
0.2%

96세남자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1072
Minimum0
Maximum8
Zeros9248
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:59.414126image/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 deviation0.47257856
Coefficient of variation (CV)4.4083821
Kurtosis77.918259
Mean0.1072
Median Absolute Deviation (MAD)0
Skewness7.4206764
Sum1072
Variance0.22333049
MonotonicityNot monotonic
2024-04-06T17:56:59.661689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9248
92.5%
1 587
 
5.9%
2 96
 
1.0%
3 26
 
0.3%
4 20
 
0.2%
5 13
 
0.1%
8 4
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
0 9248
92.5%
1 587
 
5.9%
2 96
 
1.0%
3 26
 
0.3%
4 20
 
0.2%
5 13
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
8 4
 
< 0.1%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 13
 
0.1%
4 20
 
0.2%
3 26
 
0.3%
2 96
 
1.0%
1 587
 
5.9%
0 9248
92.5%

97세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0603
Minimum0
Maximum7
Zeros9530
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:56:59.984261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.3157117
Coefficient of variation (CV)5.2356832
Kurtosis86.086587
Mean0.0603
Median Absolute Deviation (MAD)0
Skewness7.7832524
Sum603
Variance0.099673877
MonotonicityNot monotonic
2024-04-06T17:57:00.218969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9530
95.3%
1 391
 
3.9%
2 44
 
0.4%
3 22
 
0.2%
4 9
 
0.1%
5 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9530
95.3%
1 391
 
3.9%
2 44
 
0.4%
3 22
 
0.2%
4 9
 
0.1%
5 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 3
 
< 0.1%
4 9
 
0.1%
3 22
 
0.2%
2 44
 
0.4%
1 391
 
3.9%
0 9530
95.3%

98세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0374
Minimum0
Maximum5
Zeros9680
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:00.446126image/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 deviation0.22761024
Coefficient of variation (CV)6.0858353
Kurtosis104.16168
Mean0.0374
Median Absolute Deviation (MAD)0
Skewness8.4776423
Sum374
Variance0.051806421
MonotonicityNot monotonic
2024-04-06T17:57:00.656273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9680
96.8%
1 283
 
2.8%
2 26
 
0.3%
3 7
 
0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
0 9680
96.8%
1 283
 
2.8%
2 26
 
0.3%
3 7
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 2
 
< 0.1%
3 7
 
0.1%
2 26
 
0.3%
1 283
 
2.8%
0 9680
96.8%

99세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9790 
1
 
194
2
 
12
3
 
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 9790
97.9%
1 194
 
1.9%
2 12
 
0.1%
3 4
 
< 0.1%

Length

2024-04-06T17:57:00.868598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:01.205892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9790
97.9%
1 194
 
1.9%
2 12
 
0.1%
3 4
 
< 0.1%

100세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9805 
1
 
178
2
 
16
4
 
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 9805
98.0%
1 178
 
1.8%
2 16
 
0.2%
4 1
 
< 0.1%

Length

2024-04-06T17:57:01.414186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:01.637630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9805
98.0%
1 178
 
1.8%
2 16
 
0.2%
4 1
 
< 0.1%

101세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9866 
1
 
125
2
 
7
3
 
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 9866
98.7%
1 125
 
1.2%
2 7
 
0.1%
3 2
 
< 0.1%

Length

2024-04-06T17:57:01.939384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:02.148592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9866
98.7%
1 125
 
1.2%
2 7
 
0.1%
3 2
 
< 0.1%

102세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9936 
1
 
63
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 9936
99.4%
1 63
 
0.6%
2 1
 
< 0.1%

Length

2024-04-06T17:57:02.355416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:02.541323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9936
99.4%
1 63
 
0.6%
2 1
 
< 0.1%

103세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9965 
1
 
34
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 9965
99.7%
1 34
 
0.3%
2 1
 
< 0.1%

Length

2024-04-06T17:57:02.757647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:02.934823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9965
99.7%
1 34
 
0.3%
2 1
 
< 0.1%

104세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9967 
1
 
32
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 9967
99.7%
1 32
 
0.3%
2 1
 
< 0.1%

Length

2024-04-06T17:57:03.149533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:03.341206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9967
99.7%
1 32
 
0.3%
2 1
 
< 0.1%

105세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9989 
1
 
11

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 9989
99.9%
1 11
 
0.1%

Length

2024-04-06T17:57:03.719611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:03.900105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9989
99.9%
1 11
 
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

2024-04-06T17:57:04.140461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:04.333204image/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

2024-04-06T17:57:04.509253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:04.731653image/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
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

2024-04-06T17:57:04.937418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:05.142066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 0.1%

109세남자
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

2024-04-06T17:57:05.381412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:05.747163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 0.1%

110세이상 남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9990 
1
 
9
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 9990
99.9%
1 9
 
0.1%
2 1
 
< 0.1%

Length

2024-04-06T17:57:05.938582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:06.138630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9990
99.9%
1 9
 
0.1%
2 1
 
< 0.1%

0세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9993 
1
 
7

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 9993
99.9%
1 7
 
0.1%

Length

2024-04-06T17:57:06.394850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:06.563514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9993
99.9%
1 7
 
0.1%

1세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9986 
1
 
13
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 9986
99.9%
1 13
 
0.1%
2 1
 
< 0.1%

Length

2024-04-06T17:57:06.748649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:06.921809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9986
99.9%
1 13
 
0.1%
2 1
 
< 0.1%

2세여자
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

2024-04-06T17:57:07.219160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:07.504485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9970
99.7%
1 30
 
0.3%

3세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9963 
1
 
36
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 9963
99.6%
1 36
 
0.4%
2 1
 
< 0.1%

Length

2024-04-06T17:57:07.677669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:07.945296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9963
99.6%
1 36
 
0.4%
2 1
 
< 0.1%

4세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9930 
1
 
67
2
 
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 9930
99.3%
1 67
 
0.7%
2 3
 
< 0.1%

Length

2024-04-06T17:57:08.248901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:08.433197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9930
99.3%
1 67
 
0.7%
2 3
 
< 0.1%

5세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9933 
1
 
64
2
 
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 9933
99.3%
1 64
 
0.6%
2 3
 
< 0.1%

Length

2024-04-06T17:57:08.637277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:08.830065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9933
99.3%
1 64
 
0.6%
2 3
 
< 0.1%

6세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9898 
1
 
91
2
 
10
5
 
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 9898
99.0%
1 91
 
0.9%
2 10
 
0.1%
5 1
 
< 0.1%

Length

2024-04-06T17:57:09.022725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:09.216327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9898
99.0%
1 91
 
0.9%
2 10
 
0.1%
5 1
 
< 0.1%

7세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9898 
1
 
89
2
 
13

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 9898
99.0%
1 89
 
0.9%
2 13
 
0.1%

Length

2024-04-06T17:57:09.416636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:09.612809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9898
99.0%
1 89
 
0.9%
2 13
 
0.1%

8세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0186
Minimum0
Maximum7
Zeros9840
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:09.776655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.16630335
Coefficient of variation (CV)8.9410406
Kurtosis411.33196
Mean0.0186
Median Absolute Deviation (MAD)0
Skewness15.321849
Sum186
Variance0.027656806
MonotonicityNot monotonic
2024-04-06T17:57:10.022106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9840
98.4%
1 144
 
1.4%
2 11
 
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9840
98.4%
1 144
 
1.4%
2 11
 
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
< 0.1%
2 11
 
0.1%
1 144
 
1.4%
0 9840
98.4%

9세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9837 
1
 
133
2
 
26
3
 
3
5
 
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 9837
98.4%
1 133
 
1.3%
2 26
 
0.3%
3 3
 
< 0.1%
5 1
 
< 0.1%

Length

2024-04-06T17:57:10.477422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:57:10.767958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9837
98.4%
1 133
 
1.3%
2 26
 
0.3%
3 3
 
< 0.1%
5 1
 
< 0.1%

10세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0239
Minimum0
Maximum8
Zeros9806
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:11.052873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.19731367
Coefficient of variation (CV)8.255802
Kurtosis367.73134
Mean0.0239
Median Absolute Deviation (MAD)0
Skewness14.466181
Sum239
Variance0.038932683
MonotonicityNot monotonic
2024-04-06T17:57:11.288304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9806
98.1%
1 164
 
1.6%
2 22
 
0.2%
3 6
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9806
98.1%
1 164
 
1.6%
2 22
 
0.2%
3 6
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
5 1
 
< 0.1%
3 6
 
0.1%
2 22
 
0.2%
1 164
 
1.6%
0 9806
98.1%

11세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0258
Minimum0
Maximum10
Zeros9803
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:11.501167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.21803466
Coefficient of variation (CV)8.4509559
Kurtosis516.24104
Mean0.0258
Median Absolute Deviation (MAD)0
Skewness16.609012
Sum258
Variance0.047539114
MonotonicityNot monotonic
2024-04-06T17:57:11.717165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9803
98.0%
1 156
 
1.6%
2 31
 
0.3%
3 6
 
0.1%
4 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 9803
98.0%
1 156
 
1.6%
2 31
 
0.3%
3 6
 
0.1%
4 3
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
4 3
 
< 0.1%
3 6
 
0.1%
2 31
 
0.3%
1 156
 
1.6%
0 9803
98.0%

12세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0237
Minimum0
Maximum5
Zeros9816
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:11.893742image/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 deviation0.19375775
Coefficient of variation (CV)8.1754323
Kurtosis160.02321
Mean0.0237
Median Absolute Deviation (MAD)0
Skewness10.976209
Sum237
Variance0.037542064
MonotonicityNot monotonic
2024-04-06T17:57:12.096296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9816
98.2%
1 144
 
1.4%
2 32
 
0.3%
3 4
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9816
98.2%
1 144
 
1.4%
2 32
 
0.3%
3 4
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 3
 
< 0.1%
3 4
 
< 0.1%
2 32
 
0.3%
1 144
 
1.4%
0 9816
98.2%

13세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0297
Minimum0
Maximum6
Zeros9773
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:12.290658image/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 deviation0.22676651
Coefficient of variation (CV)7.6352362
Kurtosis182.36124
Mean0.0297
Median Absolute Deviation (MAD)0
Skewness11.416868
Sum297
Variance0.051423052
MonotonicityNot monotonic
2024-04-06T17:57:12.492124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9773
97.7%
1 183
 
1.8%
2 29
 
0.3%
3 9
 
0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9773
97.7%
1 183
 
1.8%
2 29
 
0.3%
3 9
 
0.1%
4 2
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
3 9
 
0.1%
2 29
 
0.3%
1 183
 
1.8%
0 9773
97.7%

14세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031
Minimum0
Maximum9
Zeros9773
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:12.706474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25699339
Coefficient of variation (CV)8.2901095
Kurtosis436.77526
Mean0.031
Median Absolute Deviation (MAD)0
Skewness16.562081
Sum310
Variance0.066045605
MonotonicityNot monotonic
2024-04-06T17:57:12.925300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9773
97.7%
1 181
 
1.8%
2 29
 
0.3%
3 11
 
0.1%
4 3
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9773
97.7%
1 181
 
1.8%
2 29
 
0.3%
3 11
 
0.1%
4 3
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 1
 
< 0.1%
4 3
 
< 0.1%
3 11
 
0.1%
2 29
 
0.3%
1 181
 
1.8%
0 9773
97.7%

15세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0535
Minimum0
Maximum28
Zeros9716
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:13.138442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.57277444
Coefficient of variation (CV)10.706064
Kurtosis966.71625
Mean0.0535
Median Absolute Deviation (MAD)0
Skewness26.928866
Sum535
Variance0.32807056
MonotonicityNot monotonic
2024-04-06T17:57:13.380665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9716
97.2%
1 208
 
2.1%
2 40
 
0.4%
3 15
 
0.1%
4 8
 
0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
Other values (8) 8
 
0.1%
ValueCountFrequency (%)
0 9716
97.2%
1 208
 
2.1%
2 40
 
0.4%
3 15
 
0.1%
4 8
 
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
28 1
< 0.1%
20 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%
14 1
< 0.1%
13 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%

16세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.065
Minimum0
Maximum27
Zeros9645
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:13.624941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.60663976
Coefficient of variation (CV)9.3329194
Kurtosis844.66752
Mean0.065
Median Absolute Deviation (MAD)0
Skewness24.774086
Sum650
Variance0.3680118
MonotonicityNot monotonic
2024-04-06T17:57:13.835327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9645
96.5%
1 266
 
2.7%
2 43
 
0.4%
3 16
 
0.2%
4 11
 
0.1%
5 3
 
< 0.1%
9 3
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
21 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9645
96.5%
1 266
 
2.7%
2 43
 
0.4%
3 16
 
0.2%
4 11
 
0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 3
< 0.1%
8 3
< 0.1%
7 2
< 0.1%

17세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0674
Minimum0
Maximum29
Zeros9637
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:14.049162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.58659326
Coefficient of variation (CV)8.7031641
Kurtosis815.82152
Mean0.0674
Median Absolute Deviation (MAD)0
Skewness23.213874
Sum674
Variance0.34409165
MonotonicityNot monotonic
2024-04-06T17:57:14.287677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9637
96.4%
1 254
 
2.5%
2 58
 
0.6%
3 24
 
0.2%
4 6
 
0.1%
5 4
 
< 0.1%
9 3
 
< 0.1%
6 3
 
< 0.1%
12 2
 
< 0.1%
7 2
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9637
96.4%
1 254
 
2.5%
2 58
 
0.6%
3 24
 
0.2%
4 6
 
0.1%
5 4
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 2
< 0.1%
10 1
 
< 0.1%
9 3
< 0.1%
8 1
 
< 0.1%
7 2
< 0.1%

18세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3514
Minimum0
Maximum121
Zeros9301
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:15.007213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3983044
Coefficient of variation (CV)9.6707581
Kurtosis687.60444
Mean0.3514
Median Absolute Deviation (MAD)0
Skewness23.470823
Sum3514
Variance11.548473
MonotonicityNot monotonic
2024-04-06T17:57:15.279966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 9301
93.0%
1 329
 
3.3%
2 116
 
1.2%
3 48
 
0.5%
4 40
 
0.4%
5 31
 
0.3%
7 23
 
0.2%
6 18
 
0.2%
8 12
 
0.1%
12 10
 
0.1%
Other values (33) 72
 
0.7%
ValueCountFrequency (%)
0 9301
93.0%
1 329
 
3.3%
2 116
 
1.2%
3 48
 
0.5%
4 40
 
0.4%
5 31
 
0.3%
6 18
 
0.2%
7 23
 
0.2%
8 12
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
121 1
< 0.1%
120 2
< 0.1%
94 1
< 0.1%
93 1
< 0.1%
84 1
< 0.1%
79 1
< 0.1%
71 1
< 0.1%
57 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%

19세여자
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0648
Minimum0
Maximum321
Zeros8929
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:15.614921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum321
Range321
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.1507909
Coefficient of variation (CV)8.5939058
Kurtosis472.21698
Mean1.0648
Median Absolute Deviation (MAD)0
Skewness19.202103
Sum10648
Variance83.736975
MonotonicityNot monotonic
2024-04-06T17:57:15.974352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8929
89.3%
1 413
 
4.1%
2 150
 
1.5%
3 83
 
0.8%
4 57
 
0.6%
5 44
 
0.4%
7 37
 
0.4%
6 35
 
0.4%
8 18
 
0.2%
16 15
 
0.1%
Other values (73) 219
 
2.2%
ValueCountFrequency (%)
0 8929
89.3%
1 413
 
4.1%
2 150
 
1.5%
3 83
 
0.8%
4 57
 
0.6%
5 44
 
0.4%
6 35
 
0.4%
7 37
 
0.4%
8 18
 
0.2%
9 12
 
0.1%
ValueCountFrequency (%)
321 1
< 0.1%
269 1
< 0.1%
256 1
< 0.1%
249 1
< 0.1%
213 1
< 0.1%
205 1
< 0.1%
186 1
< 0.1%
177 1
< 0.1%
161 1
< 0.1%
153 1
< 0.1%

20세여자
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8737
Minimum0
Maximum556
Zeros8640
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:16.368719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum556
Range556
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.190037
Coefficient of variation (CV)8.1069739
Kurtosis503.05144
Mean1.8737
Median Absolute Deviation (MAD)0
Skewness19.200849
Sum18737
Variance230.73722
MonotonicityNot monotonic
2024-04-06T17:57:16.626227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8640
86.4%
1 514
 
5.1%
2 178
 
1.8%
3 99
 
1.0%
4 62
 
0.6%
6 52
 
0.5%
5 40
 
0.4%
8 30
 
0.3%
7 26
 
0.3%
11 23
 
0.2%
Other values (98) 336
 
3.4%
ValueCountFrequency (%)
0 8640
86.4%
1 514
 
5.1%
2 178
 
1.8%
3 99
 
1.0%
4 62
 
0.6%
5 40
 
0.4%
6 52
 
0.5%
7 26
 
0.3%
8 30
 
0.3%
9 23
 
0.2%
ValueCountFrequency (%)
556 1
< 0.1%
495 1
< 0.1%
484 1
< 0.1%
351 1
< 0.1%
284 1
< 0.1%
278 1
< 0.1%
261 1
< 0.1%
250 1
< 0.1%
249 1
< 0.1%
230 1
< 0.1%

21세여자
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4247
Minimum0
Maximum679
Zeros8401
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:16.919303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum679
Range679
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.326367
Coefficient of variation (CV)7.5581996
Kurtosis536.97514
Mean2.4247
Median Absolute Deviation (MAD)0
Skewness19.343686
Sum24247
Variance335.85572
MonotonicityNot monotonic
2024-04-06T17:57:17.234636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8401
84.0%
1 597
 
6.0%
2 194
 
1.9%
3 115
 
1.1%
4 81
 
0.8%
5 60
 
0.6%
7 47
 
0.5%
6 43
 
0.4%
8 34
 
0.3%
9 27
 
0.3%
Other values (121) 401
 
4.0%
ValueCountFrequency (%)
0 8401
84.0%
1 597
 
6.0%
2 194
 
1.9%
3 115
 
1.1%
4 81
 
0.8%
5 60
 
0.6%
6 43
 
0.4%
7 47
 
0.5%
8 34
 
0.3%
9 27
 
0.3%
ValueCountFrequency (%)
679 1
< 0.1%
634 1
< 0.1%
616 1
< 0.1%
386 1
< 0.1%
358 1
< 0.1%
287 1
< 0.1%
280 1
< 0.1%
278 1
< 0.1%
259 1
< 0.1%
252 1
< 0.1%

22세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1318
Minimum0
Maximum998
Zeros8131
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:17.656449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum998
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.889797
Coefficient of variation (CV)7.3088311
Kurtosis792.06243
Mean3.1318
Median Absolute Deviation (MAD)0
Skewness22.756468
Sum31318
Variance523.94282
MonotonicityNot monotonic
2024-04-06T17:57:17.897190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8131
81.3%
1 677
 
6.8%
2 206
 
2.1%
3 156
 
1.6%
4 91
 
0.9%
6 67
 
0.7%
5 66
 
0.7%
7 45
 
0.4%
8 33
 
0.3%
9 29
 
0.3%
Other values (139) 499
 
5.0%
ValueCountFrequency (%)
0 8131
81.3%
1 677
 
6.8%
2 206
 
2.1%
3 156
 
1.6%
4 91
 
0.9%
5 66
 
0.7%
6 67
 
0.7%
7 45
 
0.4%
8 33
 
0.3%
9 29
 
0.3%
ValueCountFrequency (%)
998 1
< 0.1%
971 1
< 0.1%
646 1
< 0.1%
448 1
< 0.1%
395 1
< 0.1%
323 1
< 0.1%
303 1
< 0.1%
298 1
< 0.1%
295 1
< 0.1%
284 1
< 0.1%

23세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct168
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2403
Minimum0
Maximum1558
Zeros7830
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:18.179793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum1558
Range1558
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.218219
Coefficient of variation (CV)7.3622666
Kurtosis1253.8208
Mean4.2403
Median Absolute Deviation (MAD)0
Skewness28.504572
Sum42403
Variance974.57721
MonotonicityNot monotonic
2024-04-06T17:57:18.504256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7830
78.3%
1 767
 
7.7%
2 239
 
2.4%
3 157
 
1.6%
4 89
 
0.9%
5 69
 
0.7%
6 65
 
0.7%
8 52
 
0.5%
7 52
 
0.5%
9 46
 
0.5%
Other values (158) 634
 
6.3%
ValueCountFrequency (%)
0 7830
78.3%
1 767
 
7.7%
2 239
 
2.4%
3 157
 
1.6%
4 89
 
0.9%
5 69
 
0.7%
6 65
 
0.7%
7 52
 
0.5%
8 52
 
0.5%
9 46
 
0.5%
ValueCountFrequency (%)
1558 1
< 0.1%
1547 1
< 0.1%
613 1
< 0.1%
492 1
< 0.1%
438 1
< 0.1%
352 1
< 0.1%
332 1
< 0.1%
328 2
< 0.1%
321 1
< 0.1%
318 1
< 0.1%

24세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0462
Minimum0
Maximum2005
Zeros7551
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:18.856295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19
Maximum2005
Range2005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.357307
Coefficient of variation (CV)7.4030572
Kurtosis1580.3931
Mean5.0462
Median Absolute Deviation (MAD)0
Skewness32.402895
Sum50462
Variance1395.5684
MonotonicityNot monotonic
2024-04-06T17:57:19.181345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7551
75.5%
1 872
 
8.7%
2 286
 
2.9%
3 175
 
1.8%
4 119
 
1.2%
5 77
 
0.8%
6 66
 
0.7%
7 55
 
0.5%
8 45
 
0.4%
9 42
 
0.4%
Other values (179) 712
 
7.1%
ValueCountFrequency (%)
0 7551
75.5%
1 872
 
8.7%
2 286
 
2.9%
3 175
 
1.8%
4 119
 
1.2%
5 77
 
0.8%
6 66
 
0.7%
7 55
 
0.5%
8 45
 
0.4%
9 42
 
0.4%
ValueCountFrequency (%)
2005 1
< 0.1%
1951 1
< 0.1%
471 1
< 0.1%
423 1
< 0.1%
410 1
< 0.1%
403 1
< 0.1%
401 1
< 0.1%
379 2
< 0.1%
374 1
< 0.1%
373 1
< 0.1%

25세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7586
Minimum0
Maximum2331
Zeros7369
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:19.572520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22
Maximum2331
Range2331
Interquartile range (IQR)1

Descriptive statistics

Standard deviation43.017896
Coefficient of variation (CV)7.4702004
Kurtosis1718.8646
Mean5.7586
Median Absolute Deviation (MAD)0
Skewness34.144635
Sum57586
Variance1850.5394
MonotonicityNot monotonic
2024-04-06T17:57:19.897591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7369
73.7%
1 950
 
9.5%
2 263
 
2.6%
3 182
 
1.8%
4 125
 
1.2%
5 101
 
1.0%
6 85
 
0.9%
7 58
 
0.6%
9 44
 
0.4%
8 42
 
0.4%
Other values (199) 781
 
7.8%
ValueCountFrequency (%)
0 7369
73.7%
1 950
 
9.5%
2 263
 
2.6%
3 182
 
1.8%
4 125
 
1.2%
5 101
 
1.0%
6 85
 
0.9%
7 58
 
0.6%
8 42
 
0.4%
9 44
 
0.4%
ValueCountFrequency (%)
2331 1
< 0.1%
2325 1
< 0.1%
533 1
< 0.1%
530 1
< 0.1%
495 1
< 0.1%
446 1
< 0.1%
441 1
< 0.1%
435 1
< 0.1%
427 1
< 0.1%
419 1
< 0.1%

26세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6326
Minimum0
Maximum2703
Zeros7231
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:20.158039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile25.05
Maximum2703
Range2703
Interquartile range (IQR)1

Descriptive statistics

Standard deviation48.986494
Coefficient of variation (CV)7.3857151
Kurtosis1724.5012
Mean6.6326
Median Absolute Deviation (MAD)0
Skewness34.210777
Sum66326
Variance2399.6766
MonotonicityNot monotonic
2024-04-06T17:57:20.427589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7231
72.3%
1 1012
 
10.1%
2 292
 
2.9%
3 137
 
1.4%
4 123
 
1.2%
5 105
 
1.1%
6 84
 
0.8%
7 58
 
0.6%
8 54
 
0.5%
9 49
 
0.5%
Other values (204) 855
 
8.6%
ValueCountFrequency (%)
0 7231
72.3%
1 1012
 
10.1%
2 292
 
2.9%
3 137
 
1.4%
4 123
 
1.2%
5 105
 
1.1%
6 84
 
0.8%
7 58
 
0.6%
8 54
 
0.5%
9 49
 
0.5%
ValueCountFrequency (%)
2703 1
< 0.1%
2600 1
< 0.1%
634 1
< 0.1%
583 1
< 0.1%
576 1
< 0.1%
558 1
< 0.1%
554 1
< 0.1%
512 1
< 0.1%
498 1
< 0.1%
487 1
< 0.1%

27세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0586
Minimum0
Maximum2661
Zeros7143
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:20.696867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile28
Maximum2661
Range2661
Interquartile range (IQR)1

Descriptive statistics

Standard deviation49.621126
Coefficient of variation (CV)7.0298822
Kurtosis1504.4203
Mean7.0586
Median Absolute Deviation (MAD)0
Skewness31.405575
Sum70586
Variance2462.2562
MonotonicityNot monotonic
2024-04-06T17:57:20.951754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7143
71.4%
1 1040
 
10.4%
2 326
 
3.3%
3 166
 
1.7%
4 113
 
1.1%
6 96
 
1.0%
5 84
 
0.8%
7 51
 
0.5%
10 47
 
0.5%
8 46
 
0.5%
Other values (214) 888
 
8.9%
ValueCountFrequency (%)
0 7143
71.4%
1 1040
 
10.4%
2 326
 
3.3%
3 166
 
1.7%
4 113
 
1.1%
5 84
 
0.8%
6 96
 
1.0%
7 51
 
0.5%
8 46
 
0.5%
9 33
 
0.3%
ValueCountFrequency (%)
2661 1
< 0.1%
2523 1
< 0.1%
669 1
< 0.1%
630 1
< 0.1%
608 1
< 0.1%
593 1
< 0.1%
564 1
< 0.1%
556 1
< 0.1%
534 1
< 0.1%
510 1
< 0.1%

28세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct230
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5486
Minimum0
Maximum2583
Zeros7024
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:21.230160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile31
Maximum2583
Range2583
Interquartile range (IQR)1

Descriptive statistics

Standard deviation49.578006
Coefficient of variation (CV)6.5678411
Kurtosis1289.5548
Mean7.5486
Median Absolute Deviation (MAD)0
Skewness28.459949
Sum75486
Variance2457.9786
MonotonicityNot monotonic
2024-04-06T17:57:21.513131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7024
70.2%
1 1082
 
10.8%
2 325
 
3.2%
3 181
 
1.8%
5 111
 
1.1%
4 103
 
1.0%
6 72
 
0.7%
8 57
 
0.6%
7 56
 
0.6%
9 52
 
0.5%
Other values (220) 937
 
9.4%
ValueCountFrequency (%)
0 7024
70.2%
1 1082
 
10.8%
2 325
 
3.2%
3 181
 
1.8%
4 103
 
1.0%
5 111
 
1.1%
6 72
 
0.7%
7 56
 
0.6%
8 57
 
0.6%
9 52
 
0.5%
ValueCountFrequency (%)
2583 1
< 0.1%
2391 1
< 0.1%
633 1
< 0.1%
611 1
< 0.1%
599 1
< 0.1%
598 1
< 0.1%
593 1
< 0.1%
588 1
< 0.1%
564 1
< 0.1%
542 1
< 0.1%

29세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5711
Minimum0
Maximum2409
Zeros7003
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:21.936574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile32
Maximum2409
Range2409
Interquartile range (IQR)1

Descriptive statistics

Standard deviation47.81793
Coefficient of variation (CV)6.3158497
Kurtosis1087.1264
Mean7.5711
Median Absolute Deviation (MAD)0
Skewness25.728231
Sum75711
Variance2286.5544
MonotonicityNot monotonic
2024-04-06T17:57:22.479243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7003
70.0%
1 1093
 
10.9%
2 350
 
3.5%
3 175
 
1.8%
4 111
 
1.1%
5 91
 
0.9%
6 68
 
0.7%
8 62
 
0.6%
7 55
 
0.5%
9 47
 
0.5%
Other values (215) 945
 
9.4%
ValueCountFrequency (%)
0 7003
70.0%
1 1093
 
10.9%
2 350
 
3.5%
3 175
 
1.8%
4 111
 
1.1%
5 91
 
0.9%
6 68
 
0.7%
7 55
 
0.5%
8 62
 
0.6%
9 47
 
0.5%
ValueCountFrequency (%)
2409 1
< 0.1%
2169 1
< 0.1%
672 1
< 0.1%
654 1
< 0.1%
645 1
< 0.1%
619 1
< 0.1%
579 1
< 0.1%
562 1
< 0.1%
541 1
< 0.1%
534 1
< 0.1%

30세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct234
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5345
Minimum0
Maximum2129
Zeros7052
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:22.755580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile33
Maximum2129
Range2129
Interquartile range (IQR)1

Descriptive statistics

Standard deviation44.673784
Coefficient of variation (CV)5.9292301
Kurtosis831.42475
Mean7.5345
Median Absolute Deviation (MAD)0
Skewness22.028358
Sum75345
Variance1995.747
MonotonicityNot monotonic
2024-04-06T17:57:23.042338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7052
70.5%
1 1053
 
10.5%
2 327
 
3.3%
3 162
 
1.6%
4 109
 
1.1%
5 91
 
0.9%
6 88
 
0.9%
7 67
 
0.7%
8 51
 
0.5%
9 42
 
0.4%
Other values (224) 958
 
9.6%
ValueCountFrequency (%)
0 7052
70.5%
1 1053
 
10.5%
2 327
 
3.3%
3 162
 
1.6%
4 109
 
1.1%
5 91
 
0.9%
6 88
 
0.9%
7 67
 
0.7%
8 51
 
0.5%
9 42
 
0.4%
ValueCountFrequency (%)
2129 1
< 0.1%
1836 1
< 0.1%
735 1
< 0.1%
629 1
< 0.1%
626 1
< 0.1%
595 1
< 0.1%
576 1
< 0.1%
569 1
< 0.1%
543 1
< 0.1%
537 1
< 0.1%

31세여자
Real number (ℝ)

SKEWED  ZEROS 

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5642
Minimum0
Maximum1954
Zeros6945
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:23.391538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile34
Maximum1954
Range1954
Interquartile range (IQR)1

Descriptive statistics

Standard deviation43.020922
Coefficient of variation (CV)5.6874385
Kurtosis707.15712
Mean7.5642
Median Absolute Deviation (MAD)0
Skewness20.027206
Sum75642
Variance1850.7998
MonotonicityNot monotonic
2024-04-06T17:57:23.751885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6945
69.5%
1 1105
 
11.1%
2 352
 
3.5%
3 195
 
1.9%
4 123
 
1.2%
5 95
 
0.9%
7 74
 
0.7%
6 74
 
0.7%
8 48
 
0.5%
9 40
 
0.4%
Other values (217) 949
 
9.5%
ValueCountFrequency (%)
0 6945
69.5%
1 1105
 
11.1%
2 352
 
3.5%
3 195
 
1.9%
4 123
 
1.2%
5 95
 
0.9%
6 74
 
0.7%
7 74
 
0.7%
8 48
 
0.5%
9 40
 
0.4%
ValueCountFrequency (%)
1954 1
< 0.1%
1715 1
< 0.1%
648 1
< 0.1%
605 1
< 0.1%
584 1
< 0.1%
555 1
< 0.1%
529 1
< 0.1%
520 1
< 0.1%
509 1
< 0.1%
491 1
< 0.1%

32세여자
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2015
Minimum0
Maximum1557
Zeros6946
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:24.632630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile33
Maximum1557
Range1557
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.795972
Coefficient of variation (CV)5.3872071
Kurtosis504.73313
Mean7.2015
Median Absolute Deviation (MAD)0
Skewness16.853164
Sum72015
Variance1505.1274
MonotonicityNot monotonic
2024-04-06T17:57:25.054405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6946
69.5%
1 1160
 
11.6%
2 355
 
3.5%
3 156
 
1.6%
4 128
 
1.3%
5 88
 
0.9%
6 60
 
0.6%
8 52
 
0.5%
9 51
 
0.5%
7 45
 
0.4%
Other values (217) 959
 
9.6%
ValueCountFrequency (%)
0 6946
69.5%
1 1160
 
11.6%
2 355
 
3.5%
3 156
 
1.6%
4 128
 
1.3%
5 88
 
0.9%
6 60
 
0.6%
7 45
 
0.4%
8 52
 
0.5%
9 51
 
0.5%
ValueCountFrequency (%)
1557 1
< 0.1%
1470 1
< 0.1%
626 1
< 0.1%
546 1
< 0.1%
536 1
< 0.1%
534 1
< 0.1%
530 1
< 0.1%
511 1
< 0.1%
493 1
< 0.1%
488 1
< 0.1%

33세여자
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3675
Minimum0
Maximum1229
Zeros7036
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:25.403352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile30
Maximum1229
Range1229
Interquartile range (IQR)1

Descriptive statistics

Standard deviation33.111936
Coefficient of variation (CV)5.2001469
Kurtosis393.13398
Mean6.3675
Median Absolute Deviation (MAD)0
Skewness14.889529
Sum63675
Variance1096.4003
MonotonicityNot monotonic
2024-04-06T17:57:25.799811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7036
70.4%
1 1133
 
11.3%
2 324
 
3.2%
3 173
 
1.7%
4 109
 
1.1%
5 90
 
0.9%
6 76
 
0.8%
7 53
 
0.5%
8 47
 
0.5%
9 43
 
0.4%
Other values (199) 916
 
9.2%
ValueCountFrequency (%)
0 7036
70.4%
1 1133
 
11.3%
2 324
 
3.2%
3 173
 
1.7%
4 109
 
1.1%
5 90
 
0.9%
6 76
 
0.8%
7 53
 
0.5%
8 47
 
0.5%
9 43
 
0.4%
ValueCountFrequency (%)
1229 1
< 0.1%
1176 1
< 0.1%
557 1
< 0.1%
500 1
< 0.1%
455 1
< 0.1%
443 1
< 0.1%
442 1
< 0.1%
429 1
< 0.1%
428 1
< 0.1%
422 1
< 0.1%

34세여자
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0308
Minimum0
Maximum1028
Zeros7060
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:26.454043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile29
Maximum1028
Range1028
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.38207
Coefficient of variation (CV)5.0378175
Kurtosis308.18675
Mean6.0308
Median Absolute Deviation (MAD)0
Skewness13.33986
Sum60308
Variance923.07016
MonotonicityNot monotonic
2024-04-06T17:57:27.004788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7060
70.6%
1 1130
 
11.3%
2 317
 
3.2%
3 157
 
1.6%
4 124
 
1.2%
5 97
 
1.0%
6 61
 
0.6%
7 58
 
0.6%
8 53
 
0.5%
9 48
 
0.5%
Other values (197) 895
 
8.9%
ValueCountFrequency (%)
0 7060
70.6%
1 1130
 
11.3%
2 317
 
3.2%
3 157
 
1.6%
4 124
 
1.2%
5 97
 
1.0%
6 61
 
0.6%
7 58
 
0.6%
8 53
 
0.5%
9 48
 
0.5%
ValueCountFrequency (%)
1028 1
< 0.1%
1018 1
< 0.1%
504 1
< 0.1%
483 1
< 0.1%
479 1
< 0.1%
428 2
< 0.1%
395 1
< 0.1%
378 1
< 0.1%
377 1
< 0.1%
366 1
< 0.1%

35세여자
Real number (ℝ)

ZEROS 

Distinct200
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7743
Minimum0
Maximum905
Zeros7053
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:27.362471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile28.05
Maximum905
Range905
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.0626
Coefficient of variation (CV)4.8599137
Kurtosis246.91022
Mean5.7743
Median Absolute Deviation (MAD)0
Skewness12.071115
Sum57743
Variance787.50951
MonotonicityNot monotonic
2024-04-06T17:57:27.688148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7053
70.5%
1 1156
 
11.6%
2 332
 
3.3%
3 162
 
1.6%
4 94
 
0.9%
5 78
 
0.8%
6 73
 
0.7%
7 58
 
0.6%
8 47
 
0.5%
9 42
 
0.4%
Other values (190) 905
 
9.0%
ValueCountFrequency (%)
0 7053
70.5%
1 1156
 
11.6%
2 332
 
3.3%
3 162
 
1.6%
4 94
 
0.9%
5 78
 
0.8%
6 73
 
0.7%
7 58
 
0.6%
8 47
 
0.5%
9 42
 
0.4%
ValueCountFrequency (%)
905 1
< 0.1%
851 1
< 0.1%
465 1
< 0.1%
451 1
< 0.1%
444 1
< 0.1%
420 1
< 0.1%
368 1
< 0.1%
359 1
< 0.1%
352 1
< 0.1%
339 1
< 0.1%

36세여자
Real number (ℝ)

ZEROS 

Distinct195
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5911
Minimum0
Maximum791
Zeros7006
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:28.089212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile28
Maximum791
Range791
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.467481
Coefficient of variation (CV)4.7338594
Kurtosis211.17697
Mean5.5911
Median Absolute Deviation (MAD)0
Skewness11.328138
Sum55911
Variance700.52755
MonotonicityNot monotonic
2024-04-06T17:57:28.462371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7006
70.1%
1 1155
 
11.6%
2 336
 
3.4%
3 157
 
1.6%
4 116
 
1.2%
5 94
 
0.9%
6 79
 
0.8%
8 58
 
0.6%
10 46
 
0.5%
7 45
 
0.4%
Other values (185) 908
 
9.1%
ValueCountFrequency (%)
0 7006
70.1%
1 1155
 
11.6%
2 336
 
3.4%
3 157
 
1.6%
4 116
 
1.2%
5 94
 
0.9%
6 79
 
0.8%
7 45
 
0.4%
8 58
 
0.6%
9 36
 
0.4%
ValueCountFrequency (%)
791 1
< 0.1%
772 1
< 0.1%
449 1
< 0.1%
440 1
< 0.1%
432 1
< 0.1%
425 1
< 0.1%
353 1
< 0.1%
344 1
< 0.1%
321 1
< 0.1%
314 1
< 0.1%

37세여자
Real number (ℝ)

ZEROS 

Distinct188
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5495
Minimum0
Maximum726
Zeros6961
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:28.822463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile29
Maximum726
Range726
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.544788
Coefficient of variation (CV)4.6030792
Kurtosis184.61893
Mean5.5495
Median Absolute Deviation (MAD)0
Skewness10.653902
Sum55495
Variance652.5362
MonotonicityNot monotonic
2024-04-06T17:57:29.212013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6961
69.6%
1 1214
 
12.1%
2 306
 
3.1%
3 176
 
1.8%
4 125
 
1.2%
5 82
 
0.8%
6 69
 
0.7%
7 58
 
0.6%
11 49
 
0.5%
9 47
 
0.5%
Other values (178) 913
 
9.1%
ValueCountFrequency (%)
0 6961
69.6%
1 1214
 
12.1%
2 306
 
3.1%
3 176
 
1.8%
4 125
 
1.2%
5 82
 
0.8%
6 69
 
0.7%
7 58
 
0.6%
8 47
 
0.5%
9 47
 
0.5%
ValueCountFrequency (%)
726 1
< 0.1%
712 1
< 0.1%
461 1
< 0.1%
418 1
< 0.1%
410 1
< 0.1%
378 1
< 0.1%
354 1
< 0.1%
325 1
< 0.1%
322 1
< 0.1%
306 1
< 0.1%

38세여자
Real number (ℝ)

ZEROS 

Distinct187
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6337
Minimum0
Maximum708
Zeros6923
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:29.590655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile30
Maximum708
Range708
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.322228
Coefficient of variation (CV)4.4947776
Kurtosis156.93804
Mean5.6337
Median Absolute Deviation (MAD)0
Skewness9.9448733
Sum56337
Variance641.21525
MonotonicityNot monotonic
2024-04-06T17:57:29.959473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6923
69.2%
1 1225
 
12.2%
2 329
 
3.3%
3 170
 
1.7%
4 124
 
1.2%
5 68
 
0.7%
6 66
 
0.7%
7 63
 
0.6%
9 53
 
0.5%
8 48
 
0.5%
Other values (177) 931
 
9.3%
ValueCountFrequency (%)
0 6923
69.2%
1 1225
 
12.2%
2 329
 
3.3%
3 170
 
1.7%
4 124
 
1.2%
5 68
 
0.7%
6 66
 
0.7%
7 63
 
0.6%
8 48
 
0.5%
9 53
 
0.5%
ValueCountFrequency (%)
708 1
< 0.1%
597 1
< 0.1%
517 1
< 0.1%
404 1
< 0.1%
396 1
< 0.1%
391 1
< 0.1%
342 1
< 0.1%
334 1
< 0.1%
308 1
< 0.1%
285 1
< 0.1%

39세여자
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6737
Minimum0
Maximum581
Zeros6781
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:30.297984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile29.05
Maximum581
Range581
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.869167
Coefficient of variation (CV)4.3832362
Kurtosis126.29228
Mean5.6737
Median Absolute Deviation (MAD)0
Skewness9.1868846
Sum56737
Variance618.47548
MonotonicityNot monotonic
2024-04-06T17:57:30.635768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6781
67.8%
1 1276
 
12.8%
2 390
 
3.9%
3 178
 
1.8%
4 126
 
1.3%
5 84
 
0.8%
7 64
 
0.6%
6 63
 
0.6%
8 49
 
0.5%
9 48
 
0.5%
Other values (179) 941
 
9.4%
ValueCountFrequency (%)
0 6781
67.8%
1 1276
 
12.8%
2 390
 
3.9%
3 178
 
1.8%
4 126
 
1.3%
5 84
 
0.8%
6 63
 
0.6%
7 64
 
0.6%
8 49
 
0.5%
9 48
 
0.5%
ValueCountFrequency (%)
581 1
< 0.1%
556 1
< 0.1%
527 1
< 0.1%
404 1
< 0.1%
385 1
< 0.1%
383 1
< 0.1%
361 1
< 0.1%
328 1
< 0.1%
307 1
< 0.1%
304 1
< 0.1%

40세여자
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4004
Minimum0
Maximum626
Zeros6595
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:30.957913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile34
Maximum626
Range626
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.831197
Coefficient of variation (CV)4.3483528
Kurtosis123.60363
Mean6.4004
Median Absolute Deviation (MAD)0
Skewness9.0792199
Sum64004
Variance774.57554
MonotonicityNot monotonic
2024-04-06T17:57:31.239475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6595
66.0%
1 1387
 
13.9%
2 398
 
4.0%
3 190
 
1.9%
4 125
 
1.2%
5 97
 
1.0%
6 70
 
0.7%
7 57
 
0.6%
8 48
 
0.5%
9 46
 
0.5%
Other values (191) 987
 
9.9%
ValueCountFrequency (%)
0 6595
66.0%
1 1387
 
13.9%
2 398
 
4.0%
3 190
 
1.9%
4 125
 
1.2%
5 97
 
1.0%
6 70
 
0.7%
7 57
 
0.6%
8 48
 
0.5%
9 46
 
0.5%
ValueCountFrequency (%)
626 1
< 0.1%
624 1
< 0.1%
612 1
< 0.1%
440 1
< 0.1%
433 1
< 0.1%
405 1
< 0.1%
359 2
< 0.1%
353 1
< 0.1%
342 1
< 0.1%
341 1
< 0.1%

41세여자
Real number (ℝ)

ZEROS 

Distinct219
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0559
Minimum0
Maximum656
Zeros6469
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:31.599930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile39
Maximum656
Range656
Interquartile range (IQR)1

Descriptive statistics

Standard deviation29.808905
Coefficient of variation (CV)4.224678
Kurtosis107.16254
Mean7.0559
Median Absolute Deviation (MAD)0
Skewness8.5119655
Sum70559
Variance888.57083
MonotonicityNot monotonic
2024-04-06T17:57:31.928526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6469
64.7%
1 1402
 
14.0%
2 451
 
4.5%
3 181
 
1.8%
4 114
 
1.1%
5 96
 
1.0%
6 72
 
0.7%
8 66
 
0.7%
7 65
 
0.7%
10 48
 
0.5%
Other values (209) 1036
 
10.4%
ValueCountFrequency (%)
0 6469
64.7%
1 1402
 
14.0%
2 451
 
4.5%
3 181
 
1.8%
4 114
 
1.1%
5 96
 
1.0%
6 72
 
0.7%
7 65
 
0.7%
8 66
 
0.7%
9 33
 
0.3%
ValueCountFrequency (%)
656 1
< 0.1%
632 1
< 0.1%
609 1
< 0.1%
477 1
< 0.1%
414 1
< 0.1%
413 1
< 0.1%
384 1
< 0.1%
381 1
< 0.1%
367 1
< 0.1%
363 1
< 0.1%

42세여자
Real number (ℝ)

ZEROS 

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4655
Minimum0
Maximum679
Zeros6351
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:32.251168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile42
Maximum679
Range679
Interquartile range (IQR)1

Descriptive statistics

Standard deviation31.1456
Coefficient of variation (CV)4.1719376
Kurtosis100.07062
Mean7.4655
Median Absolute Deviation (MAD)0
Skewness8.261256
Sum74655
Variance970.04841
MonotonicityNot monotonic
2024-04-06T17:57:32.689184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6351
63.5%
1 1470
 
14.7%
2 411
 
4.1%
3 218
 
2.2%
4 148
 
1.5%
5 99
 
1.0%
6 69
 
0.7%
7 61
 
0.6%
8 52
 
0.5%
10 46
 
0.5%
Other values (214) 1075
 
10.8%
ValueCountFrequency (%)
0 6351
63.5%
1 1470
 
14.7%
2 411
 
4.1%
3 218
 
2.2%
4 148
 
1.5%
5 99
 
1.0%
6 69
 
0.7%
7 61
 
0.6%
8 52
 
0.5%
9 39
 
0.4%
ValueCountFrequency (%)
679 1
< 0.1%
620 1
< 0.1%
615 1
< 0.1%
497 1
< 0.1%
492 1
< 0.1%
410 1
< 0.1%
407 1
< 0.1%
389 1
< 0.1%
374 1
< 0.1%
366 1
< 0.1%

43세여자
Real number (ℝ)

ZEROS 

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3167
Minimum0
Maximum641
Zeros6358
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:32.974738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile41
Maximum641
Range641
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.405642
Coefficient of variation (CV)4.1556496
Kurtosis98.035248
Mean7.3167
Median Absolute Deviation (MAD)0
Skewness8.1797089
Sum73167
Variance924.50305
MonotonicityNot monotonic
2024-04-06T17:57:33.323080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6358
63.6%
1 1487
 
14.9%
2 424
 
4.2%
3 197
 
2.0%
4 157
 
1.6%
5 86
 
0.9%
6 68
 
0.7%
8 64
 
0.6%
7 55
 
0.5%
10 41
 
0.4%
Other values (215) 1063
 
10.6%
ValueCountFrequency (%)
0 6358
63.6%
1 1487
 
14.9%
2 424
 
4.2%
3 197
 
2.0%
4 157
 
1.6%
5 86
 
0.9%
6 68
 
0.7%
7 55
 
0.5%
8 64
 
0.6%
9 40
 
0.4%
ValueCountFrequency (%)
641 1
< 0.1%
637 1
< 0.1%
578 1
< 0.1%
498 1
< 0.1%
418 1
< 0.1%
410 1
< 0.1%
408 1
< 0.1%
398 1
< 0.1%
384 1
< 0.1%
365 1
< 0.1%

44세여자
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4922
Minimum0
Maximum679
Zeros6328
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:33.601162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile41
Maximum679
Range679
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.898764
Coefficient of variation (CV)4.1241243
Kurtosis95.82881
Mean7.4922
Median Absolute Deviation (MAD)0
Skewness8.0990721
Sum74922
Variance954.73361
MonotonicityNot monotonic
2024-04-06T17:57:34.030636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6328
63.3%
1 1474
 
14.7%
2 437
 
4.4%
3 211
 
2.1%
4 123
 
1.2%
5 102
 
1.0%
6 70
 
0.7%
8 63
 
0.6%
7 54
 
0.5%
9 45
 
0.4%
Other values (208) 1093
 
10.9%
ValueCountFrequency (%)
0 6328
63.3%
1 1474
 
14.7%
2 437
 
4.4%
3 211
 
2.1%
4 123
 
1.2%
5 102
 
1.0%
6 70
 
0.7%
7 54
 
0.5%
8 63
 
0.6%
9 45
 
0.4%
ValueCountFrequency (%)
679 1
< 0.1%
637 1
< 0.1%
519 1
< 0.1%
492 1
< 0.1%
434 1
< 0.1%
433 1
< 0.1%
413 1
< 0.1%
406 1
< 0.1%
386 1
< 0.1%
356 1
< 0.1%

45세여자
Real number (ℝ)

ZEROS 

Distinct205
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7796
Minimum0
Maximum543
Zeros6409
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:34.380985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile38
Maximum543
Range543
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.668523
Coefficient of variation (CV)4.0811439
Kurtosis83.801525
Mean6.7796
Median Absolute Deviation (MAD)0
Skewness7.7346895
Sum67796
Variance765.54718
MonotonicityNot monotonic
2024-04-06T17:57:35.231668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6409
64.1%
1 1435
 
14.3%
2 448
 
4.5%
3 197
 
2.0%
4 120
 
1.2%
5 94
 
0.9%
6 81
 
0.8%
8 65
 
0.7%
7 57
 
0.6%
12 52
 
0.5%
Other values (195) 1042
 
10.4%
ValueCountFrequency (%)
0 6409
64.1%
1 1435
 
14.3%
2 448
 
4.5%
3 197
 
2.0%
4 120
 
1.2%
5 94
 
0.9%
6 81
 
0.8%
7 57
 
0.6%
8 65
 
0.7%
9 38
 
0.4%
ValueCountFrequency (%)
543 1
< 0.1%
534 1
< 0.1%
474 1
< 0.1%
431 1
< 0.1%
382 1
< 0.1%
367 1
< 0.1%
348 1
< 0.1%
345 1
< 0.1%
342 1
< 0.1%
334 1
< 0.1%

46세여자
Real number (ℝ)

ZEROS 

Distinct210
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0592
Minimum0
Maximum579
Zeros6184
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:35.506868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile40
Maximum579
Range579
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.512958
Coefficient of variation (CV)4.0391203
Kurtosis89.667815
Mean7.0592
Median Absolute Deviation (MAD)0
Skewness7.8795996
Sum70592
Variance812.98879
MonotonicityNot monotonic
2024-04-06T17:57:35.832313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6184
61.8%
1 1566
 
15.7%
2 490
 
4.9%
3 202
 
2.0%
4 144
 
1.4%
5 94
 
0.9%
6 67
 
0.7%
8 64
 
0.6%
7 58
 
0.6%
10 49
 
0.5%
Other values (200) 1082
 
10.8%
ValueCountFrequency (%)
0 6184
61.8%
1 1566
 
15.7%
2 490
 
4.9%
3 202
 
2.0%
4 144
 
1.4%
5 94
 
0.9%
6 67
 
0.7%
7 58
 
0.6%
8 64
 
0.6%
9 46
 
0.5%
ValueCountFrequency (%)
579 1
< 0.1%
578 1
< 0.1%
504 1
< 0.1%
444 1
< 0.1%
421 1
< 0.1%
409 1
< 0.1%
407 1
< 0.1%
328 1
< 0.1%
319 1
< 0.1%
317 1
< 0.1%

47세여자
Real number (ℝ)

ZEROS 

Distinct203
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8671
Minimum0
Maximum581
Zeros6212
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:36.154819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile39
Maximum581
Range581
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.640601
Coefficient of variation (CV)4.0250763
Kurtosis83.564896
Mean6.8671
Median Absolute Deviation (MAD)0
Skewness7.6472237
Sum68671
Variance764.00284
MonotonicityNot monotonic
2024-04-06T17:57:36.490704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6212
62.1%
1 1542
 
15.4%
2 462
 
4.6%
3 237
 
2.4%
4 144
 
1.4%
5 103
 
1.0%
6 80
 
0.8%
8 64
 
0.6%
9 50
 
0.5%
7 49
 
0.5%
Other values (193) 1057
 
10.6%
ValueCountFrequency (%)
0 6212
62.1%
1 1542
 
15.4%
2 462
 
4.6%
3 237
 
2.4%
4 144
 
1.4%
5 103
 
1.0%
6 80
 
0.8%
7 49
 
0.5%
8 64
 
0.6%
9 50
 
0.5%
ValueCountFrequency (%)
581 1
< 0.1%
542 1
< 0.1%
456 1
< 0.1%
398 1
< 0.1%
385 1
< 0.1%
377 1
< 0.1%
336 1
< 0.1%
328 1
< 0.1%
312 1
< 0.1%
303 1
< 0.1%

48세여자
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3219
Minimum0
Maximum560
Zeros5894
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:36.759731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile41.05
Maximum560
Range560
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.906432
Coefficient of variation (CV)3.9479414
Kurtosis75.473854
Mean7.3219
Median Absolute Deviation (MAD)0
Skewness7.3596862
Sum73219
Variance835.58184
MonotonicityNot monotonic
2024-04-06T17:57:37.047761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5894
58.9%
1 1716
 
17.2%
2 554
 
5.5%
3 237
 
2.4%
4 143
 
1.4%
5 114
 
1.1%
6 70
 
0.7%
7 65
 
0.7%
8 62
 
0.6%
10 48
 
0.5%
Other values (203) 1097
 
11.0%
ValueCountFrequency (%)
0 5894
58.9%
1 1716
 
17.2%
2 554
 
5.5%
3 237
 
2.4%
4 143
 
1.4%
5 114
 
1.1%
6 70
 
0.7%
7 65
 
0.7%
8 62
 
0.6%
9 45
 
0.4%
ValueCountFrequency (%)
560 1
< 0.1%
519 1
< 0.1%
516 1
< 0.1%
414 1
< 0.1%
394 1
< 0.1%
371 1
< 0.1%
357 1
< 0.1%
332 1
< 0.1%
331 1
< 0.1%
305 1
< 0.1%

49세여자
Real number (ℝ)

ZEROS 

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8879
Minimum0
Maximum647
Zeros5660
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:37.384196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile45
Maximum647
Range647
Interquartile range (IQR)2

Descriptive statistics

Standard deviation30.952104
Coefficient of variation (CV)3.923998
Kurtosis75.941931
Mean7.8879
Median Absolute Deviation (MAD)0
Skewness7.346145
Sum78879
Variance958.03274
MonotonicityNot monotonic
2024-04-06T17:57:37.668771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5660
56.6%
1 1819
 
18.2%
2 607
 
6.1%
3 267
 
2.7%
4 150
 
1.5%
5 124
 
1.2%
6 75
 
0.8%
7 66
 
0.7%
9 56
 
0.6%
8 56
 
0.6%
Other values (215) 1120
 
11.2%
ValueCountFrequency (%)
0 5660
56.6%
1 1819
 
18.2%
2 607
 
6.1%
3 267
 
2.7%
4 150
 
1.5%
5 124
 
1.2%
6 75
 
0.8%
7 66
 
0.7%
8 56
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
647 1
< 0.1%
530 1
< 0.1%
507 1
< 0.1%
455 1
< 0.1%
410 1
< 0.1%
406 1
< 0.1%
394 1
< 0.1%
353 1
< 0.1%
345 1
< 0.1%
343 1
< 0.1%

50세여자
Real number (ℝ)

ZEROS 

Distinct235
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5153
Minimum0
Maximum687
Zeros5404
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:37.990171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile48
Maximum687
Range687
Interquartile range (IQR)2

Descriptive statistics

Standard deviation33.253134
Coefficient of variation (CV)3.9051043
Kurtosis76.11743
Mean8.5153
Median Absolute Deviation (MAD)0
Skewness7.3640747
Sum85153
Variance1105.7709
MonotonicityNot monotonic
2024-04-06T17:57:38.289377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5404
54.0%
1 1931
 
19.3%
2 664
 
6.6%
3 284
 
2.8%
4 155
 
1.6%
5 111
 
1.1%
6 91
 
0.9%
7 66
 
0.7%
8 66
 
0.7%
10 50
 
0.5%
Other values (225) 1178
 
11.8%
ValueCountFrequency (%)
0 5404
54.0%
1 1931
 
19.3%
2 664
 
6.6%
3 284
 
2.8%
4 155
 
1.6%
5 111
 
1.1%
6 91
 
0.9%
7 66
 
0.7%
8 66
 
0.7%
9 42
 
0.4%
ValueCountFrequency (%)
687 1
< 0.1%
556 1
< 0.1%
546 1
< 0.1%
512 1
< 0.1%
436 1
< 0.1%
419 1
< 0.1%
412 1
< 0.1%
408 1
< 0.1%
397 1
< 0.1%
395 1
< 0.1%

51세여자
Real number (ℝ)

ZEROS 

Distinct234
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5665
Minimum0
Maximum710
Zeros5324
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:38.617626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile48
Maximum710
Range710
Interquartile range (IQR)2

Descriptive statistics

Standard deviation33.296027
Coefficient of variation (CV)3.8867714
Kurtosis77.742986
Mean8.5665
Median Absolute Deviation (MAD)0
Skewness7.4002814
Sum85665
Variance1108.6254
MonotonicityNot monotonic
2024-04-06T17:57:38.959232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5324
53.2%
1 1896
 
19.0%
2 728
 
7.3%
3 283
 
2.8%
4 168
 
1.7%
5 123
 
1.2%
6 102
 
1.0%
7 75
 
0.8%
8 63
 
0.6%
9 53
 
0.5%
Other values (224) 1185
 
11.8%
ValueCountFrequency (%)
0 5324
53.2%
1 1896
 
19.0%
2 728
 
7.3%
3 283
 
2.8%
4 168
 
1.7%
5 123
 
1.2%
6 102
 
1.0%
7 75
 
0.8%
8 63
 
0.6%
9 53
 
0.5%
ValueCountFrequency (%)
710 1
< 0.1%
561 1
< 0.1%
553 1
< 0.1%
501 1
< 0.1%
457 1
< 0.1%
426 1
< 0.1%
397 1
< 0.1%
390 1
< 0.1%
379 1
< 0.1%
375 1
< 0.1%

52세여자
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9678
Minimum0
Maximum695
Zeros5134
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:39.278068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile50
Maximum695
Range695
Interquartile range (IQR)2

Descriptive statistics

Standard deviation34.897076
Coefficient of variation (CV)3.8913754
Kurtosis72.266191
Mean8.9678
Median Absolute Deviation (MAD)0
Skewness7.2735858
Sum89678
Variance1217.8059
MonotonicityNot monotonic
2024-04-06T17:57:39.583360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5134
51.3%
1 2046
 
20.5%
2 724
 
7.2%
3 302
 
3.0%
4 178
 
1.8%
5 126
 
1.3%
7 77
 
0.8%
6 76
 
0.8%
8 64
 
0.6%
9 56
 
0.6%
Other values (235) 1217
 
12.2%
ValueCountFrequency (%)
0 5134
51.3%
1 2046
 
20.5%
2 724
 
7.2%
3 302
 
3.0%
4 178
 
1.8%
5 126
 
1.3%
6 76
 
0.8%
7 77
 
0.8%
8 64
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
695 1
< 0.1%
571 1
< 0.1%
510 1
< 0.1%
489 1
< 0.1%
482 1
< 0.1%
454 1
< 0.1%
450 1
< 0.1%
434 1
< 0.1%
427 1
< 0.1%
409 2
< 0.1%

53세여자
Real number (ℝ)

ZEROS 

Distinct249
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.15
Minimum0
Maximum682
Zeros4894
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:39.877526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile49.05
Maximum682
Range682
Interquartile range (IQR)2

Descriptive statistics

Standard deviation35.389848
Coefficient of variation (CV)3.867743
Kurtosis73.409293
Mean9.15
Median Absolute Deviation (MAD)1
Skewness7.3277394
Sum91500
Variance1252.4413
MonotonicityNot monotonic
2024-04-06T17:57:40.162898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4894
48.9%
1 2097
21.0%
2 832
 
8.3%
3 353
 
3.5%
4 172
 
1.7%
5 131
 
1.3%
6 90
 
0.9%
8 72
 
0.7%
7 65
 
0.7%
9 59
 
0.6%
Other values (239) 1235
 
12.3%
ValueCountFrequency (%)
0 4894
48.9%
1 2097
21.0%
2 832
 
8.3%
3 353
 
3.5%
4 172
 
1.7%
5 131
 
1.3%
6 90
 
0.9%
7 65
 
0.7%
8 72
 
0.7%
9 59
 
0.6%
ValueCountFrequency (%)
682 1
< 0.1%
605 1
< 0.1%
532 1
< 0.1%
530 1
< 0.1%
499 1
< 0.1%
489 1
< 0.1%
446 1
< 0.1%
433 2
< 0.1%
421 1
< 0.1%
414 1
< 0.1%

54세여자
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9807
Minimum0
Maximum663
Zeros4686
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:40.619159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile49
Maximum663
Range663
Interquartile range (IQR)2

Descriptive statistics

Standard deviation34.523437
Coefficient of variation (CV)3.8441811
Kurtosis76.22598
Mean8.9807
Median Absolute Deviation (MAD)1
Skewness7.4345283
Sum89807
Variance1191.8677
MonotonicityNot monotonic
2024-04-06T17:57:40.888820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4686
46.9%
1 2209
22.1%
2 859
 
8.6%
3 377
 
3.8%
4 216
 
2.2%
5 136
 
1.4%
7 99
 
1.0%
6 81
 
0.8%
8 60
 
0.6%
9 56
 
0.6%
Other values (228) 1221
 
12.2%
ValueCountFrequency (%)
0 4686
46.9%
1 2209
22.1%
2 859
 
8.6%
3 377
 
3.8%
4 216
 
2.2%
5 136
 
1.4%
6 81
 
0.8%
7 99
 
1.0%
8 60
 
0.6%
9 56
 
0.6%
ValueCountFrequency (%)
663 1
< 0.1%
592 1
< 0.1%
543 2
< 0.1%
510 1
< 0.1%
460 1
< 0.1%
455 1
< 0.1%
449 1
< 0.1%
432 1
< 0.1%
423 1
< 0.1%
399 1
< 0.1%

55세여자
Real number (ℝ)

ZEROS 

Distinct249
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2663
Minimum0
Maximum754
Zeros4379
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:41.185066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile51
Maximum754
Range754
Interquartile range (IQR)2

Descriptive statistics

Standard deviation35.321118
Coefficient of variation (CV)3.8117822
Kurtosis79.994841
Mean9.2663
Median Absolute Deviation (MAD)1
Skewness7.5260505
Sum92663
Variance1247.5813
MonotonicityNot monotonic
2024-04-06T17:57:41.484767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4379
43.8%
1 2250
22.5%
2 971
 
9.7%
3 457
 
4.6%
4 245
 
2.5%
5 146
 
1.5%
6 106
 
1.1%
8 83
 
0.8%
7 62
 
0.6%
10 62
 
0.6%
Other values (239) 1239
 
12.4%
ValueCountFrequency (%)
0 4379
43.8%
1 2250
22.5%
2 971
 
9.7%
3 457
 
4.6%
4 245
 
2.5%
5 146
 
1.5%
6 106
 
1.1%
7 62
 
0.6%
8 83
 
0.8%
9 54
 
0.5%
ValueCountFrequency (%)
754 1
< 0.1%
594 1
< 0.1%
552 1
< 0.1%
524 1
< 0.1%
498 1
< 0.1%
468 1
< 0.1%
460 1
< 0.1%
458 1
< 0.1%
435 1
< 0.1%
427 2
< 0.1%

56세여자
Real number (ℝ)

ZEROS 

Distinct231
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6239
Minimum0
Maximum706
Zeros4255
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:41.834017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile47
Maximum706
Range706
Interquartile range (IQR)2

Descriptive statistics

Standard deviation32.854619
Coefficient of variation (CV)3.8097171
Kurtosis86.901411
Mean8.6239
Median Absolute Deviation (MAD)1
Skewness7.7954978
Sum86239
Variance1079.426
MonotonicityNot monotonic
2024-04-06T17:57:42.113080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4255
42.5%
1 2343
23.4%
2 1032
 
10.3%
3 408
 
4.1%
4 254
 
2.5%
5 156
 
1.6%
6 127
 
1.3%
7 83
 
0.8%
8 69
 
0.7%
9 61
 
0.6%
Other values (221) 1212
 
12.1%
ValueCountFrequency (%)
0 4255
42.5%
1 2343
23.4%
2 1032
 
10.3%
3 408
 
4.1%
4 254
 
2.5%
5 156
 
1.6%
6 127
 
1.3%
7 83
 
0.8%
8 69
 
0.7%
9 61
 
0.6%
ValueCountFrequency (%)
706 1
< 0.1%
567 1
< 0.1%
558 1
< 0.1%
554 1
< 0.1%
481 1
< 0.1%
462 1
< 0.1%
426 1
< 0.1%
411 1
< 0.1%
399 1
< 0.1%
388 1
< 0.1%

57세여자
Real number (ℝ)

ZEROS 

Distinct230
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2227
Minimum0
Maximum671
Zeros4187
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:42.396522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile44
Maximum671
Range671
Interquartile range (IQR)2

Descriptive statistics

Standard deviation30.873244
Coefficient of variation (CV)3.7546359
Kurtosis82.431071
Mean8.2227
Median Absolute Deviation (MAD)1
Skewness7.6161054
Sum82227
Variance953.15722
MonotonicityNot monotonic
2024-04-06T17:57:42.644485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4187
41.9%
1 2347
23.5%
2 1045
 
10.4%
3 481
 
4.8%
4 253
 
2.5%
5 160
 
1.6%
6 115
 
1.1%
7 84
 
0.8%
8 78
 
0.8%
10 60
 
0.6%
Other values (220) 1190
 
11.9%
ValueCountFrequency (%)
0 4187
41.9%
1 2347
23.5%
2 1045
 
10.4%
3 481
 
4.8%
4 253
 
2.5%
5 160
 
1.6%
6 115
 
1.1%
7 84
 
0.8%
8 78
 
0.8%
9 52
 
0.5%
ValueCountFrequency (%)
671 1
< 0.1%
493 1
< 0.1%
489 1
< 0.1%
488 1
< 0.1%
443 1
< 0.1%
436 1
< 0.1%
417 1
< 0.1%
399 1
< 0.1%
392 1
< 0.1%
377 1
< 0.1%

58세여자
Real number (ℝ)

ZEROS 

Distinct230
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6284
Minimum0
Maximum668
Zeros3951
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:42.968054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile47
Maximum668
Range668
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.135531
Coefficient of variation (CV)3.7243906
Kurtosis81.044044
Mean8.6284
Median Absolute Deviation (MAD)1
Skewness7.5837277
Sum86284
Variance1032.6924
MonotonicityNot monotonic
2024-04-06T17:57:43.259377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3951
39.5%
1 2367
23.7%
2 1100
 
11.0%
3 535
 
5.3%
4 292
 
2.9%
5 187
 
1.9%
6 126
 
1.3%
8 88
 
0.9%
7 77
 
0.8%
11 55
 
0.5%
Other values (220) 1222
 
12.2%
ValueCountFrequency (%)
0 3951
39.5%
1 2367
23.7%
2 1100
 
11.0%
3 535
 
5.3%
4 292
 
2.9%
5 187
 
1.9%
6 126
 
1.3%
7 77
 
0.8%
8 88
 
0.9%
9 54
 
0.5%
ValueCountFrequency (%)
668 1
< 0.1%
524 1
< 0.1%
512 1
< 0.1%
510 1
< 0.1%
481 1
< 0.1%
474 1
< 0.1%
466 1
< 0.1%
407 1
< 0.1%
401 1
< 0.1%
373 1
< 0.1%

59세여자
Real number (ℝ)

ZEROS 

Distinct233
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5815
Minimum0
Maximum700
Zeros3889
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:43.516547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile46
Maximum700
Range700
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.147916
Coefficient of variation (CV)3.7461884
Kurtosis88.427363
Mean8.5815
Median Absolute Deviation (MAD)1
Skewness7.8628993
Sum85815
Variance1033.4885
MonotonicityNot monotonic
2024-04-06T17:57:44.297890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3889
38.9%
1 2379
23.8%
2 1110
 
11.1%
3 577
 
5.8%
4 265
 
2.6%
5 200
 
2.0%
6 124
 
1.2%
7 88
 
0.9%
8 79
 
0.8%
9 66
 
0.7%
Other values (223) 1223
 
12.2%
ValueCountFrequency (%)
0 3889
38.9%
1 2379
23.8%
2 1110
 
11.1%
3 577
 
5.8%
4 265
 
2.6%
5 200
 
2.0%
6 124
 
1.2%
7 88
 
0.9%
8 79
 
0.8%
9 66
 
0.7%
ValueCountFrequency (%)
700 1
< 0.1%
562 1
< 0.1%
545 1
< 0.1%
499 1
< 0.1%
470 1
< 0.1%
468 1
< 0.1%
463 1
< 0.1%
404 1
< 0.1%
397 1
< 0.1%
389 1
< 0.1%

60세여자
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9177
Minimum0
Maximum634
Zeros3962
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:44.637865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile40.05
Maximum634
Range634
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.657358
Coefficient of variation (CV)3.7457037
Kurtosis87.347805
Mean7.9177
Median Absolute Deviation (MAD)1
Skewness7.8477147
Sum79177
Variance879.55888
MonotonicityNot monotonic
2024-04-06T17:57:44.940397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3962
39.6%
1 2407
24.1%
2 1122
 
11.2%
3 509
 
5.1%
4 268
 
2.7%
5 183
 
1.8%
6 134
 
1.3%
8 85
 
0.9%
7 81
 
0.8%
9 71
 
0.7%
Other values (208) 1178
 
11.8%
ValueCountFrequency (%)
0 3962
39.6%
1 2407
24.1%
2 1122
 
11.2%
3 509
 
5.1%
4 268
 
2.7%
5 183
 
1.8%
6 134
 
1.3%
7 81
 
0.8%
8 85
 
0.9%
9 71
 
0.7%
ValueCountFrequency (%)
634 1
< 0.1%
520 1
< 0.1%
479 1
< 0.1%
462 1
< 0.1%
461 1
< 0.1%
442 1
< 0.1%
421 2
< 0.1%
377 1
< 0.1%
329 1
< 0.1%
321 1
< 0.1%

61세여자
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8014
Minimum0
Maximum691
Zeros3499
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:45.487350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile46
Maximum691
Range691
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.803737
Coefficient of variation (CV)3.7271044
Kurtosis90.592772
Mean8.8014
Median Absolute Deviation (MAD)1
Skewness7.9806406
Sum88014
Variance1076.0852
MonotonicityNot monotonic
2024-04-06T17:57:45.946475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3499
35.0%
1 2484
24.8%
2 1240
 
12.4%
3 625
 
6.2%
4 342
 
3.4%
5 179
 
1.8%
6 123
 
1.2%
7 93
 
0.9%
8 82
 
0.8%
9 74
 
0.7%
Other values (228) 1259
 
12.6%
ValueCountFrequency (%)
0 3499
35.0%
1 2484
24.8%
2 1240
 
12.4%
3 625
 
6.2%
4 342
 
3.4%
5 179
 
1.8%
6 123
 
1.2%
7 93
 
0.9%
8 82
 
0.8%
9 74
 
0.7%
ValueCountFrequency (%)
691 1
< 0.1%
587 1
< 0.1%
586 1
< 0.1%
541 1
< 0.1%
499 2
< 0.1%
448 1
< 0.1%
435 1
< 0.1%
406 1
< 0.1%
401 1
< 0.1%
381 1
< 0.1%

62세여자
Real number (ℝ)

ZEROS 

Distinct237
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9695
Minimum0
Maximum715
Zeros3222
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:46.259293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile45
Maximum715
Range715
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.977831
Coefficient of variation (CV)3.6766632
Kurtosis89.317584
Mean8.9695
Median Absolute Deviation (MAD)1
Skewness7.9231793
Sum89695
Variance1087.5373
MonotonicityNot monotonic
2024-04-06T17:57:46.544076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3222
32.2%
1 2491
24.9%
2 1302
13.0%
3 703
 
7.0%
4 396
 
4.0%
5 186
 
1.9%
6 147
 
1.5%
7 117
 
1.2%
8 88
 
0.9%
9 76
 
0.8%
Other values (227) 1272
 
12.7%
ValueCountFrequency (%)
0 3222
32.2%
1 2491
24.9%
2 1302
13.0%
3 703
 
7.0%
4 396
 
4.0%
5 186
 
1.9%
6 147
 
1.5%
7 117
 
1.2%
8 88
 
0.9%
9 76
 
0.8%
ValueCountFrequency (%)
715 1
< 0.1%
582 1
< 0.1%
550 1
< 0.1%
537 1
< 0.1%
493 1
< 0.1%
488 1
< 0.1%
484 1
< 0.1%
437 1
< 0.1%
411 1
< 0.1%
381 1
< 0.1%

63세여자
Real number (ℝ)

ZEROS 

Distinct246
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8479
Minimum0
Maximum804
Zeros2985
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:46.837558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile50
Maximum804
Range804
Interquartile range (IQR)3

Descriptive statistics

Standard deviation36.349452
Coefficient of variation (CV)3.6910867
Kurtosis99.56719
Mean9.8479
Median Absolute Deviation (MAD)1
Skewness8.2683545
Sum98479
Variance1321.2827
MonotonicityNot monotonic
2024-04-06T17:57:47.122389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2985
29.8%
1 2399
24.0%
2 1357
13.6%
3 792
 
7.9%
4 440
 
4.4%
5 265
 
2.6%
6 144
 
1.4%
7 118
 
1.2%
8 107
 
1.1%
9 73
 
0.7%
Other values (236) 1320
13.2%
ValueCountFrequency (%)
0 2985
29.8%
1 2399
24.0%
2 1357
13.6%
3 792
 
7.9%
4 440
 
4.4%
5 265
 
2.6%
6 144
 
1.4%
7 118
 
1.2%
8 107
 
1.1%
9 73
 
0.7%
ValueCountFrequency (%)
804 1
< 0.1%
694 1
< 0.1%
671 1
< 0.1%
602 1
< 0.1%
569 1
< 0.1%
552 1
< 0.1%
527 1
< 0.1%
480 1
< 0.1%
462 1
< 0.1%
418 1
< 0.1%

64세여자
Real number (ℝ)

ZEROS 

Distinct232
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2052
Minimum0
Maximum790
Zeros3042
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:47.412328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile46
Maximum790
Range790
Interquartile range (IQR)3

Descriptive statistics

Standard deviation33.971908
Coefficient of variation (CV)3.6905127
Kurtosis103.74089
Mean9.2052
Median Absolute Deviation (MAD)1
Skewness8.4094478
Sum92052
Variance1154.0905
MonotonicityNot monotonic
2024-04-06T17:57:47.778131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3042
30.4%
1 2422
24.2%
2 1430
14.3%
3 743
 
7.4%
4 385
 
3.9%
5 214
 
2.1%
6 163
 
1.6%
7 125
 
1.2%
8 112
 
1.1%
9 72
 
0.7%
Other values (222) 1292
12.9%
ValueCountFrequency (%)
0 3042
30.4%
1 2422
24.2%
2 1430
14.3%
3 743
 
7.4%
4 385
 
3.9%
5 214
 
2.1%
6 163
 
1.6%
7 125
 
1.2%
8 112
 
1.1%
9 72
 
0.7%
ValueCountFrequency (%)
790 1
< 0.1%
645 1
< 0.1%
599 1
< 0.1%
537 1
< 0.1%
515 1
< 0.1%
506 1
< 0.1%
500 1
< 0.1%
488 1
< 0.1%
482 1
< 0.1%
407 1
< 0.1%

65세여자
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3864
Minimum0
Maximum716
Zeros3304
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:48.094146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile40.05
Maximum716
Range716
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.326778
Coefficient of variation (CV)3.7354262
Kurtosis105.25293
Mean8.3864
Median Absolute Deviation (MAD)1
Skewness8.4960236
Sum83864
Variance981.36703
MonotonicityNot monotonic
2024-04-06T17:57:48.378581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3304
33.0%
1 2510
25.1%
2 1254
 
12.5%
3 674
 
6.7%
4 382
 
3.8%
5 214
 
2.1%
6 143
 
1.4%
7 120
 
1.2%
8 94
 
0.9%
9 83
 
0.8%
Other values (208) 1222
 
12.2%
ValueCountFrequency (%)
0 3304
33.0%
1 2510
25.1%
2 1254
 
12.5%
3 674
 
6.7%
4 382
 
3.8%
5 214
 
2.1%
6 143
 
1.4%
7 120
 
1.2%
8 94
 
0.9%
9 83
 
0.8%
ValueCountFrequency (%)
716 1
< 0.1%
612 1
< 0.1%
553 1
< 0.1%
494 1
< 0.1%
493 1
< 0.1%
477 1
< 0.1%
470 1
< 0.1%
467 1
< 0.1%
448 1
< 0.1%
373 1
< 0.1%

66세여자
Real number (ℝ)

ZEROS 

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1651
Minimum0
Maximum686
Zeros3232
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:48.657470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile39.05
Maximum686
Range686
Interquartile range (IQR)3

Descriptive statistics

Standard deviation30.290659
Coefficient of variation (CV)3.7097719
Kurtosis105.53959
Mean8.1651
Median Absolute Deviation (MAD)1
Skewness8.493341
Sum81651
Variance917.52399
MonotonicityNot monotonic
2024-04-06T17:57:49.074206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3232
32.3%
1 2508
25.1%
2 1309
13.1%
3 714
 
7.1%
4 370
 
3.7%
5 227
 
2.3%
6 144
 
1.4%
7 121
 
1.2%
8 99
 
1.0%
9 73
 
0.7%
Other values (204) 1203
 
12.0%
ValueCountFrequency (%)
0 3232
32.3%
1 2508
25.1%
2 1309
13.1%
3 714
 
7.1%
4 370
 
3.7%
5 227
 
2.3%
6 144
 
1.4%
7 121
 
1.2%
8 99
 
1.0%
9 73
 
0.7%
ValueCountFrequency (%)
686 1
< 0.1%
597 1
< 0.1%
569 1
< 0.1%
483 1
< 0.1%
468 1
< 0.1%
464 1
< 0.1%
457 1
< 0.1%
442 1
< 0.1%
395 1
< 0.1%
387 1
< 0.1%

67세여자
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6517
Minimum0
Maximum632
Zeros3308
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:49.450397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile37
Maximum632
Range632
Interquartile range (IQR)3

Descriptive statistics

Standard deviation28.213146
Coefficient of variation (CV)3.6871735
Kurtosis105.24875
Mean7.6517
Median Absolute Deviation (MAD)1
Skewness8.4890622
Sum76517
Variance795.98159
MonotonicityNot monotonic
2024-04-06T17:57:49.749243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3308
33.1%
1 2494
24.9%
2 1351
13.5%
3 644
 
6.4%
4 391
 
3.9%
5 212
 
2.1%
6 156
 
1.6%
7 120
 
1.2%
8 85
 
0.9%
9 82
 
0.8%
Other values (197) 1157
 
11.6%
ValueCountFrequency (%)
0 3308
33.1%
1 2494
24.9%
2 1351
13.5%
3 644
 
6.4%
4 391
 
3.9%
5 212
 
2.1%
6 156
 
1.6%
7 120
 
1.2%
8 85
 
0.9%
9 82
 
0.8%
ValueCountFrequency (%)
632 1
< 0.1%
567 1
< 0.1%
555 1
< 0.1%
432 1
< 0.1%
421 1
< 0.1%
419 1
< 0.1%
404 1
< 0.1%
392 1
< 0.1%
368 1
< 0.1%
325 1
< 0.1%

68세여자
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5695
Minimum0
Maximum660
Zeros3301
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:50.193104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile36
Maximum660
Range660
Interquartile range (IQR)3

Descriptive statistics

Standard deviation28.315641
Coefficient of variation (CV)3.7407545
Kurtosis119.05259
Mean7.5695
Median Absolute Deviation (MAD)1
Skewness8.9347041
Sum75695
Variance801.77555
MonotonicityNot monotonic
2024-04-06T17:57:50.443909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3301
33.0%
1 2555
25.6%
2 1299
 
13.0%
3 681
 
6.8%
4 372
 
3.7%
5 210
 
2.1%
6 146
 
1.5%
7 112
 
1.1%
8 96
 
1.0%
9 71
 
0.7%
Other values (199) 1157
 
11.6%
ValueCountFrequency (%)
0 3301
33.0%
1 2555
25.6%
2 1299
 
13.0%
3 681
 
6.8%
4 372
 
3.7%
5 210
 
2.1%
6 146
 
1.5%
7 112
 
1.1%
8 96
 
1.0%
9 71
 
0.7%
ValueCountFrequency (%)
660 1
< 0.1%
596 1
< 0.1%
595 1
< 0.1%
445 1
< 0.1%
433 1
< 0.1%
427 1
< 0.1%
423 1
< 0.1%
402 1
< 0.1%
388 1
< 0.1%
323 1
< 0.1%

69세여자
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6332
Minimum0
Maximum657
Zeros3190
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:50.755682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile36
Maximum657
Range657
Interquartile range (IQR)3

Descriptive statistics

Standard deviation28.06815
Coefficient of variation (CV)3.6771144
Kurtosis111.59953
Mean7.6332
Median Absolute Deviation (MAD)1
Skewness8.7138209
Sum76332
Variance787.82104
MonotonicityNot monotonic
2024-04-06T17:57:51.025145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3190
31.9%
1 2459
24.6%
2 1378
13.8%
3 694
 
6.9%
4 402
 
4.0%
5 267
 
2.7%
6 154
 
1.5%
7 116
 
1.2%
8 103
 
1.0%
9 65
 
0.7%
Other values (199) 1172
 
11.7%
ValueCountFrequency (%)
0 3190
31.9%
1 2459
24.6%
2 1378
13.8%
3 694
 
6.9%
4 402
 
4.0%
5 267
 
2.7%
6 154
 
1.5%
7 116
 
1.2%
8 103
 
1.0%
9 65
 
0.7%
ValueCountFrequency (%)
657 1
< 0.1%
575 1
< 0.1%
529 1
< 0.1%
426 1
< 0.1%
421 1
< 0.1%
420 1
< 0.1%
415 1
< 0.1%
406 1
< 0.1%
401 1
< 0.1%
317 1
< 0.1%

70세여자
Real number (ℝ)

ZEROS 

Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0344
Minimum0
Maximum521
Zeros3612
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:51.318642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile28
Maximum521
Range521
Interquartile range (IQR)3

Descriptive statistics

Standard deviation22.281599
Coefficient of variation (CV)3.6924299
Kurtosis120.26021
Mean6.0344
Median Absolute Deviation (MAD)1
Skewness8.9777496
Sum60344
Variance496.46966
MonotonicityNot monotonic
2024-04-06T17:57:51.593345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3612
36.1%
1 2561
25.6%
2 1275
 
12.8%
3 616
 
6.2%
4 340
 
3.4%
5 173
 
1.7%
6 138
 
1.4%
7 114
 
1.1%
8 76
 
0.8%
9 70
 
0.7%
Other values (169) 1025
 
10.2%
ValueCountFrequency (%)
0 3612
36.1%
1 2561
25.6%
2 1275
 
12.8%
3 616
 
6.2%
4 340
 
3.4%
5 173
 
1.7%
6 138
 
1.4%
7 114
 
1.1%
8 76
 
0.8%
9 70
 
0.7%
ValueCountFrequency (%)
521 1
< 0.1%
498 1
< 0.1%
441 1
< 0.1%
380 1
< 0.1%
326 1
< 0.1%
315 1
< 0.1%
310 1
< 0.1%
299 1
< 0.1%
296 1
< 0.1%
252 1
< 0.1%

71세여자
Real number (ℝ)

ZEROS 

Distinct190
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4699
Minimum0
Maximum522
Zeros3370
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:51.855025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile30
Maximum522
Range522
Interquartile range (IQR)3

Descriptive statistics

Standard deviation23.623385
Coefficient of variation (CV)3.6512751
Kurtosis111.60716
Mean6.4699
Median Absolute Deviation (MAD)1
Skewness8.7288617
Sum64699
Variance558.0643
MonotonicityNot monotonic
2024-04-06T17:57:52.221845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3370
33.7%
1 2444
24.4%
2 1409
14.1%
3 700
 
7.0%
4 369
 
3.7%
5 228
 
2.3%
6 159
 
1.6%
7 113
 
1.1%
8 78
 
0.8%
9 75
 
0.8%
Other values (180) 1055
 
10.5%
ValueCountFrequency (%)
0 3370
33.7%
1 2444
24.4%
2 1409
14.1%
3 700
 
7.0%
4 369
 
3.7%
5 228
 
2.3%
6 159
 
1.6%
7 113
 
1.1%
8 78
 
0.8%
9 75
 
0.8%
ValueCountFrequency (%)
522 1
< 0.1%
516 1
< 0.1%
480 1
< 0.1%
344 1
< 0.1%
339 1
< 0.1%
334 1
< 0.1%
329 1
< 0.1%
328 1
< 0.1%
312 1
< 0.1%
282 1
< 0.1%

72세여자
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4761
Minimum0
Maximum478
Zeros3566
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:52.466185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum478
Range478
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.905026
Coefficient of variation (CV)3.6348908
Kurtosis128.5125
Mean5.4761
Median Absolute Deviation (MAD)1
Skewness9.2642162
Sum54761
Variance396.21005
MonotonicityNot monotonic
2024-04-06T17:57:52.770048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3566
35.7%
1 2516
25.2%
2 1336
 
13.4%
3 688
 
6.9%
4 345
 
3.5%
5 208
 
2.1%
6 130
 
1.3%
7 102
 
1.0%
8 83
 
0.8%
9 73
 
0.7%
Other values (155) 953
 
9.5%
ValueCountFrequency (%)
0 3566
35.7%
1 2516
25.2%
2 1336
 
13.4%
3 688
 
6.9%
4 345
 
3.5%
5 208
 
2.1%
6 130
 
1.3%
7 102
 
1.0%
8 83
 
0.8%
9 73
 
0.7%
ValueCountFrequency (%)
478 1
< 0.1%
435 1
< 0.1%
413 1
< 0.1%
366 1
< 0.1%
293 1
< 0.1%
286 1
< 0.1%
273 1
< 0.1%
272 1
< 0.1%
269 1
< 0.1%
255 1
< 0.1%

73세여자
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2813
Minimum0
Maximum467
Zeros3615
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:53.049407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum467
Range467
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.056487
Coefficient of variation (CV)3.6082947
Kurtosis125.33305
Mean5.2813
Median Absolute Deviation (MAD)1
Skewness9.1177593
Sum52813
Variance363.14969
MonotonicityNot monotonic
2024-04-06T17:57:53.821105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3615
36.1%
1 2539
25.4%
2 1315
 
13.2%
3 642
 
6.4%
4 333
 
3.3%
5 214
 
2.1%
6 146
 
1.5%
7 122
 
1.2%
8 81
 
0.8%
9 60
 
0.6%
Other values (155) 933
 
9.3%
ValueCountFrequency (%)
0 3615
36.1%
1 2539
25.4%
2 1315
 
13.2%
3 642
 
6.4%
4 333
 
3.3%
5 214
 
2.1%
6 146
 
1.5%
7 122
 
1.2%
8 81
 
0.8%
9 60
 
0.6%
ValueCountFrequency (%)
467 1
< 0.1%
424 1
< 0.1%
370 1
< 0.1%
336 1
< 0.1%
289 1
< 0.1%
263 1
< 0.1%
259 1
< 0.1%
250 1
< 0.1%
235 1
< 0.1%
227 1
< 0.1%

74세여자
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6787
Minimum0
Maximum515
Zeros3358
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:54.090657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile25.05
Maximum515
Range515
Interquartile range (IQR)3

Descriptive statistics

Standard deviation20.512063
Coefficient of variation (CV)3.6121055
Kurtosis132.18219
Mean5.6787
Median Absolute Deviation (MAD)1
Skewness9.3313873
Sum56787
Variance420.74474
MonotonicityNot monotonic
2024-04-06T17:57:54.368832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3358
33.6%
1 2585
25.9%
2 1344
13.4%
3 729
 
7.3%
4 364
 
3.6%
5 223
 
2.2%
6 138
 
1.4%
7 112
 
1.1%
8 96
 
1.0%
9 79
 
0.8%
Other values (157) 972
 
9.7%
ValueCountFrequency (%)
0 3358
33.6%
1 2585
25.9%
2 1344
13.4%
3 729
 
7.3%
4 364
 
3.6%
5 223
 
2.2%
6 138
 
1.4%
7 112
 
1.1%
8 96
 
1.0%
9 79
 
0.8%
ValueCountFrequency (%)
515 1
< 0.1%
450 1
< 0.1%
419 1
< 0.1%
381 1
< 0.1%
296 1
< 0.1%
291 1
< 0.1%
282 1
< 0.1%
264 1
< 0.1%
243 1
< 0.1%
242 1
< 0.1%

75세여자
Real number (ℝ)

ZEROS 

Distinct168
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6668
Minimum0
Maximum499
Zeros3304
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:54.647573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum499
Range499
Interquartile range (IQR)3

Descriptive statistics

Standard deviation20.273719
Coefficient of variation (CV)3.5776309
Kurtosis134.93138
Mean5.6668
Median Absolute Deviation (MAD)1
Skewness9.3896045
Sum56668
Variance411.02368
MonotonicityNot monotonic
2024-04-06T17:57:54.928068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3304
33.0%
1 2493
24.9%
2 1456
14.6%
3 715
 
7.1%
4 399
 
4.0%
5 224
 
2.2%
6 138
 
1.4%
7 128
 
1.3%
8 91
 
0.9%
9 81
 
0.8%
Other values (158) 971
 
9.7%
ValueCountFrequency (%)
0 3304
33.0%
1 2493
24.9%
2 1456
14.6%
3 715
 
7.1%
4 399
 
4.0%
5 224
 
2.2%
6 138
 
1.4%
7 128
 
1.3%
8 91
 
0.9%
9 81
 
0.8%
ValueCountFrequency (%)
499 1
< 0.1%
460 1
< 0.1%
445 1
< 0.1%
348 1
< 0.1%
318 1
< 0.1%
298 1
< 0.1%
254 1
< 0.1%
252 1
< 0.1%
250 1
< 0.1%
240 1
< 0.1%

76세여자
Real number (ℝ)

ZEROS 

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8322
Minimum0
Maximum510
Zeros3117
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:55.212719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile25
Maximum510
Range510
Interquartile range (IQR)3

Descriptive statistics

Standard deviation20.8042
Coefficient of variation (CV)3.5671273
Kurtosis129.00343
Mean5.8322
Median Absolute Deviation (MAD)1
Skewness9.2523714
Sum58322
Variance432.81472
MonotonicityNot monotonic
2024-04-06T17:57:55.492849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3117
31.2%
1 2504
25.0%
2 1521
15.2%
3 766
 
7.7%
4 436
 
4.4%
5 218
 
2.2%
6 157
 
1.6%
7 117
 
1.2%
8 112
 
1.1%
10 69
 
0.7%
Other values (159) 983
 
9.8%
ValueCountFrequency (%)
0 3117
31.2%
1 2504
25.0%
2 1521
15.2%
3 766
 
7.7%
4 436
 
4.4%
5 218
 
2.2%
6 157
 
1.6%
7 117
 
1.2%
8 112
 
1.1%
9 63
 
0.6%
ValueCountFrequency (%)
510 1
< 0.1%
471 1
< 0.1%
422 1
< 0.1%
353 1
< 0.1%
304 1
< 0.1%
294 1
< 0.1%
291 1
< 0.1%
274 1
< 0.1%
265 1
< 0.1%
249 1
< 0.1%

77세여자
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.496
Minimum0
Maximum493
Zeros3230
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:55.749197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24.05
Maximum493
Range493
Interquartile range (IQR)3

Descriptive statistics

Standard deviation19.509604
Coefficient of variation (CV)3.5497824
Kurtosis137.81197
Mean5.496
Median Absolute Deviation (MAD)1
Skewness9.4526055
Sum54960
Variance380.62465
MonotonicityNot monotonic
2024-04-06T17:57:56.014432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3230
32.3%
1 2474
24.7%
2 1473
14.7%
3 776
 
7.8%
4 424
 
4.2%
5 245
 
2.5%
6 146
 
1.5%
7 119
 
1.2%
9 89
 
0.9%
8 81
 
0.8%
Other values (155) 943
 
9.4%
ValueCountFrequency (%)
0 3230
32.3%
1 2474
24.7%
2 1473
14.7%
3 776
 
7.8%
4 424
 
4.2%
5 245
 
2.5%
6 146
 
1.5%
7 119
 
1.2%
8 81
 
0.8%
9 89
 
0.9%
ValueCountFrequency (%)
493 1
< 0.1%
481 1
< 0.1%
358 1
< 0.1%
336 1
< 0.1%
274 1
< 0.1%
270 1
< 0.1%
266 1
< 0.1%
264 1
< 0.1%
258 1
< 0.1%
239 1
< 0.1%

78세여자
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2297
Minimum0
Maximum377
Zeros3648
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:56.312351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile18
Maximum377
Range377
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.823701
Coefficient of variation (CV)3.5046696
Kurtosis140.78157
Mean4.2297
Median Absolute Deviation (MAD)1
Skewness9.504982
Sum42297
Variance219.74211
MonotonicityNot monotonic
2024-04-06T17:57:56.597738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3648
36.5%
1 2604
26.0%
2 1405
 
14.1%
3 652
 
6.5%
4 324
 
3.2%
5 186
 
1.9%
6 157
 
1.6%
7 98
 
1.0%
8 85
 
0.9%
9 70
 
0.7%
Other values (122) 771
 
7.7%
ValueCountFrequency (%)
0 3648
36.5%
1 2604
26.0%
2 1405
 
14.1%
3 652
 
6.5%
4 324
 
3.2%
5 186
 
1.9%
6 157
 
1.6%
7 98
 
1.0%
8 85
 
0.9%
9 70
 
0.7%
ValueCountFrequency (%)
377 1
< 0.1%
372 1
< 0.1%
267 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%
217 1
< 0.1%
211 1
< 0.1%
193 1
< 0.1%
186 1
< 0.1%
173 2
< 0.1%

79세여자
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.877
Minimum0
Maximum425
Zeros2946
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:56.923766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum425
Range425
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.508971
Coefficient of variation (CV)3.3850669
Kurtosis141.66991
Mean4.877
Median Absolute Deviation (MAD)1
Skewness9.5715457
Sum48770
Variance272.54613
MonotonicityNot monotonic
2024-04-06T17:57:57.188939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2946
29.5%
1 2650
26.5%
2 1568
15.7%
3 819
 
8.2%
4 440
 
4.4%
5 246
 
2.5%
6 180
 
1.8%
7 115
 
1.1%
8 90
 
0.9%
9 83
 
0.8%
Other values (130) 863
 
8.6%
ValueCountFrequency (%)
0 2946
29.5%
1 2650
26.5%
2 1568
15.7%
3 819
 
8.2%
4 440
 
4.4%
5 246
 
2.5%
6 180
 
1.8%
7 115
 
1.1%
8 90
 
0.9%
9 83
 
0.8%
ValueCountFrequency (%)
425 1
< 0.1%
396 1
< 0.1%
330 1
< 0.1%
286 1
< 0.1%
252 1
< 0.1%
238 1
< 0.1%
233 1
< 0.1%
200 1
< 0.1%
199 1
< 0.1%
190 1
< 0.1%

80세여자
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7212
Minimum0
Maximum386
Zeros2938
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:57.426863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20
Maximum386
Range386
Interquartile range (IQR)3

Descriptive statistics

Standard deviation15.700335
Coefficient of variation (CV)3.3254967
Kurtosis132.06781
Mean4.7212
Median Absolute Deviation (MAD)1
Skewness9.3821226
Sum47212
Variance246.50052
MonotonicityNot monotonic
2024-04-06T17:57:57.715133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2938
29.4%
1 2602
26.0%
2 1557
15.6%
3 863
 
8.6%
4 446
 
4.5%
5 293
 
2.9%
6 172
 
1.7%
7 111
 
1.1%
8 87
 
0.9%
9 72
 
0.7%
Other values (133) 859
 
8.6%
ValueCountFrequency (%)
0 2938
29.4%
1 2602
26.0%
2 1557
15.6%
3 863
 
8.6%
4 446
 
4.5%
5 293
 
2.9%
6 172
 
1.7%
7 111
 
1.1%
8 87
 
0.9%
9 72
 
0.7%
ValueCountFrequency (%)
386 1
< 0.1%
357 1
< 0.1%
301 1
< 0.1%
278 1
< 0.1%
259 1
< 0.1%
229 1
< 0.1%
216 1
< 0.1%
214 1
< 0.1%
213 1
< 0.1%
212 1
< 0.1%

81세여자
Real number (ℝ)

ZEROS 

Distinct157
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9792
Minimum0
Maximum458
Zeros2086
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:57.986248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile24
Maximum458
Range458
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.792086
Coefficient of variation (CV)3.1429097
Kurtosis126.6743
Mean5.9792
Median Absolute Deviation (MAD)1
Skewness9.163178
Sum59792
Variance353.14248
MonotonicityNot monotonic
2024-04-06T17:57:58.231415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2259
22.6%
0 2086
20.9%
2 1735
17.3%
3 1129
11.3%
4 687
 
6.9%
5 463
 
4.6%
6 241
 
2.4%
7 184
 
1.8%
8 110
 
1.1%
9 101
 
1.0%
Other values (147) 1005
10.1%
ValueCountFrequency (%)
0 2086
20.9%
1 2259
22.6%
2 1735
17.3%
3 1129
11.3%
4 687
 
6.9%
5 463
 
4.6%
6 241
 
2.4%
7 184
 
1.8%
8 110
 
1.1%
9 101
 
1.0%
ValueCountFrequency (%)
458 1
< 0.1%
428 1
< 0.1%
355 1
< 0.1%
336 1
< 0.1%
289 1
< 0.1%
271 1
< 0.1%
264 1
< 0.1%
241 2
< 0.1%
226 1
< 0.1%
216 1
< 0.1%

82세여자
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4397
Minimum0
Maximum391
Zeros2214
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:58.478022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile21
Maximum391
Range391
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.824746
Coefficient of variation (CV)3.0929547
Kurtosis118.29576
Mean5.4397
Median Absolute Deviation (MAD)1
Skewness8.9588841
Sum54397
Variance283.07207
MonotonicityNot monotonic
2024-04-06T17:57:58.736580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2317
23.2%
0 2214
22.1%
2 1730
17.3%
3 1094
10.9%
4 675
 
6.8%
5 399
 
4.0%
6 244
 
2.4%
7 161
 
1.6%
8 135
 
1.4%
9 102
 
1.0%
Other values (137) 929
9.3%
ValueCountFrequency (%)
0 2214
22.1%
1 2317
23.2%
2 1730
17.3%
3 1094
10.9%
4 675
 
6.8%
5 399
 
4.0%
6 244
 
2.4%
7 161
 
1.6%
8 135
 
1.4%
9 102
 
1.0%
ValueCountFrequency (%)
391 1
< 0.1%
381 1
< 0.1%
283 1
< 0.1%
274 1
< 0.1%
272 1
< 0.1%
265 1
< 0.1%
250 1
< 0.1%
221 1
< 0.1%
215 1
< 0.1%
204 1
< 0.1%

83세여자
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4961
Minimum0
Maximum322
Zeros2553
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:59.027650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile17
Maximum322
Range322
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.876514
Coefficient of variation (CV)3.0863446
Kurtosis119.11493
Mean4.4961
Median Absolute Deviation (MAD)1
Skewness9.0074697
Sum44961
Variance192.55764
MonotonicityNot monotonic
2024-04-06T17:57:59.283040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2564
25.6%
0 2553
25.5%
2 1644
16.4%
3 1047
10.5%
4 597
 
6.0%
5 295
 
2.9%
6 175
 
1.8%
7 147
 
1.5%
8 103
 
1.0%
9 70
 
0.7%
Other values (123) 805
 
8.1%
ValueCountFrequency (%)
0 2553
25.5%
1 2564
25.6%
2 1644
16.4%
3 1047
10.5%
4 597
 
6.0%
5 295
 
2.9%
6 175
 
1.8%
7 147
 
1.5%
8 103
 
1.0%
9 70
 
0.7%
ValueCountFrequency (%)
322 1
< 0.1%
295 1
< 0.1%
280 1
< 0.1%
242 1
< 0.1%
216 1
< 0.1%
210 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
177 1
< 0.1%
173 1
< 0.1%

84세여자
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4746
Minimum0
Maximum292
Zeros2421
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:57:59.522125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile17
Maximum292
Range292
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.077831
Coefficient of variation (CV)2.9226815
Kurtosis102.35315
Mean4.4746
Median Absolute Deviation (MAD)1
Skewness8.4643368
Sum44746
Variance171.02966
MonotonicityNot monotonic
2024-04-06T17:57:59.792537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2427
24.3%
0 2421
24.2%
2 1773
17.7%
3 1036
10.4%
4 607
 
6.1%
5 371
 
3.7%
6 233
 
2.3%
7 147
 
1.5%
8 123
 
1.2%
9 74
 
0.7%
Other values (122) 788
 
7.9%
ValueCountFrequency (%)
0 2421
24.2%
1 2427
24.3%
2 1773
17.7%
3 1036
10.4%
4 607
 
6.1%
5 371
 
3.7%
6 233
 
2.3%
7 147
 
1.5%
8 123
 
1.2%
9 74
 
0.7%
ValueCountFrequency (%)
292 1
< 0.1%
246 1
< 0.1%
241 1
< 0.1%
225 1
< 0.1%
198 1
< 0.1%
181 1
< 0.1%
176 1
< 0.1%
172 1
< 0.1%
171 1
< 0.1%
165 1
< 0.1%

85세여자
Real number (ℝ)

ZEROS 

Distinct120
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0924
Minimum0
Maximum284
Zeros2616
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:00.057061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile15
Maximum284
Range284
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.849182
Coefficient of variation (CV)2.8954114
Kurtosis111.21936
Mean4.0924
Median Absolute Deviation (MAD)1
Skewness8.6737525
Sum40924
Variance140.4031
MonotonicityNot monotonic
2024-04-06T17:58:00.328125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2616
26.2%
1 2424
24.2%
2 1738
17.4%
3 1032
 
10.3%
4 611
 
6.1%
5 313
 
3.1%
6 216
 
2.2%
7 126
 
1.3%
8 116
 
1.2%
9 77
 
0.8%
Other values (110) 731
 
7.3%
ValueCountFrequency (%)
0 2616
26.2%
1 2424
24.2%
2 1738
17.4%
3 1032
 
10.3%
4 611
 
6.1%
5 313
 
3.1%
6 216
 
2.2%
7 126
 
1.3%
8 116
 
1.2%
9 77
 
0.8%
ValueCountFrequency (%)
284 1
< 0.1%
250 1
< 0.1%
200 1
< 0.1%
179 1
< 0.1%
177 1
< 0.1%
175 1
< 0.1%
164 1
< 0.1%
163 1
< 0.1%
158 1
< 0.1%
156 1
< 0.1%

86세여자
Real number (ℝ)

ZEROS 

Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5621
Minimum0
Maximum232
Zeros2817
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:00.588972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum232
Range232
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.214508
Coefficient of variation (CV)2.8675523
Kurtosis107.06361
Mean3.5621
Median Absolute Deviation (MAD)1
Skewness8.6384393
Sum35621
Variance104.33618
MonotonicityNot monotonic
2024-04-06T17:58:00.949108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2817
28.2%
1 2656
26.6%
2 1666
16.7%
3 933
 
9.3%
4 507
 
5.1%
5 311
 
3.1%
6 175
 
1.8%
7 118
 
1.2%
8 101
 
1.0%
9 60
 
0.6%
Other values (97) 656
 
6.6%
ValueCountFrequency (%)
0 2817
28.2%
1 2656
26.6%
2 1666
16.7%
3 933
 
9.3%
4 507
 
5.1%
5 311
 
3.1%
6 175
 
1.8%
7 118
 
1.2%
8 101
 
1.0%
9 60
 
0.6%
ValueCountFrequency (%)
232 1
< 0.1%
189 1
< 0.1%
183 1
< 0.1%
169 1
< 0.1%
166 1
< 0.1%
155 1
< 0.1%
150 1
< 0.1%
148 1
< 0.1%
145 1
< 0.1%
141 1
< 0.1%

87세여자
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2206
Minimum0
Maximum185
Zeros2993
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:01.329086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum185
Range185
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.8584865
Coefficient of variation (CV)2.7505702
Kurtosis94.939497
Mean3.2206
Median Absolute Deviation (MAD)1
Skewness8.1551303
Sum32206
Variance78.472783
MonotonicityNot monotonic
2024-04-06T17:58:02.086237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2993
29.9%
1 2606
26.1%
2 1710
17.1%
3 907
 
9.1%
4 504
 
5.0%
5 283
 
2.8%
6 163
 
1.6%
7 106
 
1.1%
8 76
 
0.8%
9 57
 
0.6%
Other values (90) 595
 
5.9%
ValueCountFrequency (%)
0 2993
29.9%
1 2606
26.1%
2 1710
17.1%
3 907
 
9.1%
4 504
 
5.0%
5 283
 
2.8%
6 163
 
1.6%
7 106
 
1.1%
8 76
 
0.8%
9 57
 
0.6%
ValueCountFrequency (%)
185 1
< 0.1%
178 1
< 0.1%
153 1
< 0.1%
147 1
< 0.1%
129 1
< 0.1%
127 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
114 1
< 0.1%
110 2
< 0.1%

88세여자
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7823
Minimum0
Maximum151
Zeros3261
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:02.333481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum151
Range151
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.5540461
Coefficient of variation (CV)2.7150365
Kurtosis84.707554
Mean2.7823
Median Absolute Deviation (MAD)1
Skewness7.8709111
Sum27823
Variance57.063613
MonotonicityNot monotonic
2024-04-06T17:58:02.594498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3261
32.6%
1 2777
27.8%
2 1596
16.0%
3 839
 
8.4%
4 413
 
4.1%
5 240
 
2.4%
6 144
 
1.4%
7 80
 
0.8%
8 74
 
0.7%
9 61
 
0.6%
Other values (75) 515
 
5.1%
ValueCountFrequency (%)
0 3261
32.6%
1 2777
27.8%
2 1596
16.0%
3 839
 
8.4%
4 413
 
4.1%
5 240
 
2.4%
6 144
 
1.4%
7 80
 
0.8%
8 74
 
0.7%
9 61
 
0.6%
ValueCountFrequency (%)
151 1
< 0.1%
125 1
< 0.1%
122 1
< 0.1%
118 1
< 0.1%
114 1
< 0.1%
104 2
< 0.1%
98 1
< 0.1%
97 1
< 0.1%
96 1
< 0.1%
93 2
< 0.1%

89세여자
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3705
Minimum0
Maximum117
Zeros3661
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:02.849909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum117
Range117
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.2879077
Coefficient of variation (CV)2.652566
Kurtosis79.298478
Mean2.3705
Median Absolute Deviation (MAD)1
Skewness7.5918204
Sum23705
Variance39.537784
MonotonicityNot monotonic
2024-04-06T17:58:03.096444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3661
36.6%
1 2816
28.2%
2 1482
14.8%
3 745
 
7.4%
4 349
 
3.5%
5 182
 
1.8%
6 120
 
1.2%
7 86
 
0.9%
8 60
 
0.6%
9 52
 
0.5%
Other values (66) 447
 
4.5%
ValueCountFrequency (%)
0 3661
36.6%
1 2816
28.2%
2 1482
14.8%
3 745
 
7.4%
4 349
 
3.5%
5 182
 
1.8%
6 120
 
1.2%
7 86
 
0.9%
8 60
 
0.6%
9 52
 
0.5%
ValueCountFrequency (%)
117 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
98 1
< 0.1%
90 1
< 0.1%
88 1
< 0.1%
84 1
< 0.1%
83 2
< 0.1%
77 1
< 0.1%
73 1
< 0.1%

90세여자
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8145
Minimum0
Maximum86
Zeros4400
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:03.382925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum86
Range86
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.865291
Coefficient of variation (CV)2.6813398
Kurtosis83.314498
Mean1.8145
Median Absolute Deviation (MAD)1
Skewness7.7796846
Sum18145
Variance23.671057
MonotonicityNot monotonic
2024-04-06T17:58:03.681521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4400
44.0%
1 2769
27.7%
2 1243
 
12.4%
3 598
 
6.0%
4 258
 
2.6%
5 149
 
1.5%
6 96
 
1.0%
7 57
 
0.6%
8 52
 
0.5%
12 31
 
0.3%
Other values (52) 347
 
3.5%
ValueCountFrequency (%)
0 4400
44.0%
1 2769
27.7%
2 1243
 
12.4%
3 598
 
6.0%
4 258
 
2.6%
5 149
 
1.5%
6 96
 
1.0%
7 57
 
0.6%
8 52
 
0.5%
9 30
 
0.3%
ValueCountFrequency (%)
86 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 2
< 0.1%
72 1
< 0.1%
67 2
< 0.1%
61 1
< 0.1%
59 1
< 0.1%

91세여자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4679
Minimum0
Maximum67
Zeros4947
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:03.946777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum67
Range67
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.8855475
Coefficient of variation (CV)2.647011
Kurtosis80.58488
Mean1.4679
Median Absolute Deviation (MAD)1
Skewness7.6065001
Sum14679
Variance15.097479
MonotonicityNot monotonic
2024-04-06T17:58:04.242689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4947
49.5%
1 2671
26.7%
2 1114
 
11.1%
3 457
 
4.6%
4 211
 
2.1%
5 108
 
1.1%
6 76
 
0.8%
8 54
 
0.5%
7 48
 
0.5%
9 36
 
0.4%
Other values (43) 278
 
2.8%
ValueCountFrequency (%)
0 4947
49.5%
1 2671
26.7%
2 1114
 
11.1%
3 457
 
4.6%
4 211
 
2.1%
5 108
 
1.1%
6 76
 
0.8%
7 48
 
0.5%
8 54
 
0.5%
9 36
 
0.4%
ValueCountFrequency (%)
67 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
60 1
< 0.1%
59 2
< 0.1%
57 1
< 0.1%
53 1
< 0.1%
51 1
< 0.1%
49 1
< 0.1%
48 1
< 0.1%

92세여자
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1123
Minimum0
Maximum63
Zeros5639
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:04.498573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.971998
Coefficient of variation (CV)2.6719392
Kurtosis86.507366
Mean1.1123
Median Absolute Deviation (MAD)0
Skewness7.6266133
Sum11123
Variance8.832772
MonotonicityNot monotonic
2024-04-06T17:58:04.751631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 5639
56.4%
1 2521
25.2%
2 904
 
9.0%
3 321
 
3.2%
4 153
 
1.5%
5 98
 
1.0%
6 57
 
0.6%
7 50
 
0.5%
9 31
 
0.3%
8 25
 
0.2%
Other values (32) 201
 
2.0%
ValueCountFrequency (%)
0 5639
56.4%
1 2521
25.2%
2 904
 
9.0%
3 321
 
3.2%
4 153
 
1.5%
5 98
 
1.0%
6 57
 
0.6%
7 50
 
0.5%
8 25
 
0.2%
9 31
 
0.3%
ValueCountFrequency (%)
63 1
 
< 0.1%
56 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
46 1
 
< 0.1%
40 1
 
< 0.1%
39 1
 
< 0.1%
35 1
 
< 0.1%
34 2
< 0.1%
33 3
< 0.1%

93세여자
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8083
Minimum0
Maximum53
Zeros6426
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:04.997480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum53
Range53
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2337972
Coefficient of variation (CV)2.7635745
Kurtosis101.7287
Mean0.8083
Median Absolute Deviation (MAD)0
Skewness8.03234
Sum8083
Variance4.9898501
MonotonicityNot monotonic
2024-04-06T17:58:05.271816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 6426
64.3%
1 2223
 
22.2%
2 663
 
6.6%
3 223
 
2.2%
4 115
 
1.1%
5 88
 
0.9%
6 44
 
0.4%
7 43
 
0.4%
8 31
 
0.3%
9 25
 
0.2%
Other values (24) 119
 
1.2%
ValueCountFrequency (%)
0 6426
64.3%
1 2223
 
22.2%
2 663
 
6.6%
3 223
 
2.2%
4 115
 
1.1%
5 88
 
0.9%
6 44
 
0.4%
7 43
 
0.4%
8 31
 
0.3%
9 25
 
0.2%
ValueCountFrequency (%)
53 1
 
< 0.1%
44 1
 
< 0.1%
41 1
 
< 0.1%
33 1
 
< 0.1%
32 2
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
26 3
< 0.1%
25 2
< 0.1%

94세여자
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6369
Minimum0
Maximum39
Zeros6986
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:05.491456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum39
Range39
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7996617
Coefficient of variation (CV)2.8256582
Kurtosis79.546772
Mean0.6369
Median Absolute Deviation (MAD)0
Skewness7.2131259
Sum6369
Variance3.2387823
MonotonicityNot monotonic
2024-04-06T17:58:05.745970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 6986
69.9%
1 1948
 
19.5%
2 529
 
5.3%
3 180
 
1.8%
4 81
 
0.8%
5 64
 
0.6%
6 39
 
0.4%
7 37
 
0.4%
8 27
 
0.3%
9 21
 
0.2%
Other values (18) 88
 
0.9%
ValueCountFrequency (%)
0 6986
69.9%
1 1948
 
19.5%
2 529
 
5.3%
3 180
 
1.8%
4 81
 
0.8%
5 64
 
0.6%
6 39
 
0.4%
7 37
 
0.4%
8 27
 
0.3%
9 21
 
0.2%
ValueCountFrequency (%)
39 1
 
< 0.1%
31 1
 
< 0.1%
29 2
< 0.1%
24 1
 
< 0.1%
23 2
< 0.1%
22 1
 
< 0.1%
21 3
< 0.1%
20 4
< 0.1%
19 2
< 0.1%
18 3
< 0.1%

95세여자
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4622
Minimum0
Maximum27
Zeros7561
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:05.966936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.3854108
Coefficient of variation (CV)2.9974271
Kurtosis85.026754
Mean0.4622
Median Absolute Deviation (MAD)0
Skewness7.5046732
Sum4622
Variance1.9193631
MonotonicityNot monotonic
2024-04-06T17:58:06.194143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7561
75.6%
1 1675
 
16.8%
2 369
 
3.7%
3 144
 
1.4%
4 77
 
0.8%
5 52
 
0.5%
6 25
 
0.2%
7 21
 
0.2%
8 16
 
0.2%
9 12
 
0.1%
Other values (14) 48
 
0.5%
ValueCountFrequency (%)
0 7561
75.6%
1 1675
 
16.8%
2 369
 
3.7%
3 144
 
1.4%
4 77
 
0.8%
5 52
 
0.5%
6 25
 
0.2%
7 21
 
0.2%
8 16
 
0.2%
9 12
 
0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%
22 2
< 0.1%
20 1
 
< 0.1%
18 2
< 0.1%
17 4
< 0.1%
16 2
< 0.1%
15 2
< 0.1%
14 4
< 0.1%

96세여자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3298
Minimum0
Maximum20
Zeros8041
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:06.398138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0290471
Coefficient of variation (CV)3.1202155
Kurtosis84.329191
Mean0.3298
Median Absolute Deviation (MAD)0
Skewness7.4392722
Sum3298
Variance1.0589379
MonotonicityNot monotonic
2024-04-06T17:58:06.622343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8041
80.4%
1 1408
 
14.1%
2 305
 
3.0%
3 95
 
0.9%
4 44
 
0.4%
5 33
 
0.3%
6 24
 
0.2%
7 14
 
0.1%
8 11
 
0.1%
11 7
 
0.1%
Other values (8) 18
 
0.2%
ValueCountFrequency (%)
0 8041
80.4%
1 1408
 
14.1%
2 305
 
3.0%
3 95
 
0.9%
4 44
 
0.4%
5 33
 
0.3%
6 24
 
0.2%
7 14
 
0.1%
8 11
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
17 2
 
< 0.1%
16 3
 
< 0.1%
15 2
 
< 0.1%
14 2
 
< 0.1%
13 3
 
< 0.1%
12 1
 
< 0.1%
11 7
0.1%
9 4
 
< 0.1%
8 11
0.1%

97세여자
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.207
Minimum0
Maximum14
Zeros8631
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:06.850952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68760329
Coefficient of variation (CV)3.321755
Kurtosis57.992938
Mean0.207
Median Absolute Deviation (MAD)0
Skewness6.1438495
Sum2070
Variance0.47279828
MonotonicityNot monotonic
2024-04-06T17:58:07.112301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 8631
86.3%
1 1030
 
10.3%
2 185
 
1.8%
3 66
 
0.7%
4 33
 
0.3%
5 28
 
0.3%
6 11
 
0.1%
9 6
 
0.1%
7 6
 
0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
0 8631
86.3%
1 1030
 
10.3%
2 185
 
1.8%
3 66
 
0.7%
4 33
 
0.3%
5 28
 
0.3%
6 11
 
0.1%
7 6
 
0.1%
8 3
 
< 0.1%
9 6
 
0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
9 6
 
0.1%
8 3
 
< 0.1%
7 6
 
0.1%
6 11
 
0.1%
5 28
 
0.3%
4 33
 
0.3%
3 66
 
0.7%
2 185
 
1.8%
1 1030
10.3%

98세여자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1284
Minimum0
Maximum8
Zeros9041
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:07.683738image/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 deviation0.4672636
Coefficient of variation (CV)3.6391246
Kurtosis44.287485
Mean0.1284
Median Absolute Deviation (MAD)0
Skewness5.5259479
Sum1284
Variance0.21833527
MonotonicityNot monotonic
2024-04-06T17:58:07.913293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9041
90.4%
1 758
 
7.6%
2 129
 
1.3%
3 40
 
0.4%
4 19
 
0.2%
5 9
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 9041
90.4%
1 758
 
7.6%
2 129
 
1.3%
3 40
 
0.4%
4 19
 
0.2%
5 9
 
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 9
 
0.1%
4 19
 
0.2%
3 40
 
0.4%
2 129
 
1.3%
1 758
 
7.6%
0 9041
90.4%

99세여자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0782
Minimum0
Maximum7
Zeros9374
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:58:08.122094image/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 deviation0.34827703
Coefficient of variation (CV)4.4536705
Kurtosis70.521121
Mean0.0782
Median Absolute Deviation (MAD)0
Skewness6.7784311
Sum782
Variance0.12129689
MonotonicityNot monotonic
2024-04-06T17:58:08.312701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9374
93.7%
1 524
 
5.2%
2 68
 
0.7%
3 24
 
0.2%
4 5
 
0.1%
6 3
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9374
93.7%
1 524
 
5.2%
2 68
 
0.7%
3 24
 
0.2%
4 5
 
0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 3
 
< 0.1%
5 1
 
< 0.1%
4 5
 
0.1%
3 24
 
0.2%
2 68
 
0.7%
1 524
 
5.2%
0 9374
93.7%

100세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9499 
1
 
427
2
 
55
3
 
16
4
 
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 9499
95.0%
1 427
 
4.3%
2 55
 
0.5%
3 16
 
0.2%
4 3
 
< 0.1%

Length

2024-04-06T17:58:08.560188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:08.768762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9499
95.0%
1 427
 
4.3%
2 55
 
0.5%
3 16
 
0.2%
4 3
 
< 0.1%

101세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9581 
1
 
371
2
 
39
3
 
7
4
 
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 9581
95.8%
1 371
 
3.7%
2 39
 
0.4%
3 7
 
0.1%
4 2
 
< 0.1%

Length

2024-04-06T17:58:08.943854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:09.133970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9581
95.8%
1 371
 
3.7%
2 39
 
0.4%
3 7
 
0.1%
4 2
 
< 0.1%

102세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9781 
1
 
203
2
 
12
3
 
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 9781
97.8%
1 203
 
2.0%
2 12
 
0.1%
3 4
 
< 0.1%

Length

2024-04-06T17:58:09.446346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:09.683231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9781
97.8%
1 203
 
2.0%
2 12
 
0.1%
3 4
 
< 0.1%

103세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9854 
1
 
138
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 9854
98.5%
1 138
 
1.4%
2 8
 
0.1%

Length

2024-04-06T17:58:09.986259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:10.184385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9854
98.5%
1 138
 
1.4%
2 8
 
0.1%

104세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9914 
1
 
82
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 9914
99.1%
1 82
 
0.8%
2 4
 
< 0.1%

Length

2024-04-06T17:58:10.398731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:10.587097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9914
99.1%
1 82
 
0.8%
2 4
 
< 0.1%

105세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9945 
1
 
55

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 9945
99.5%
1 55
 
0.5%

Length

2024-04-06T17:58:10.805491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:11.070827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9945
99.5%
1 55
 
0.5%

106세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9958 
1
 
42

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 9958
99.6%
1 42
 
0.4%

Length

2024-04-06T17:58:11.266865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:11.459289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9958
99.6%
1 42
 
0.4%

107세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9971 
1
 
29

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 9971
99.7%
1 29
 
0.3%

Length

2024-04-06T17:58:11.639349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:11.834004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9971
99.7%
1 29
 
0.3%

108세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9972 
1
 
27
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 9972
99.7%
1 27
 
0.3%
2 1
 
< 0.1%

Length

2024-04-06T17:58:12.112602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:12.328221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9972
99.7%
1 27
 
0.3%
2 1
 
< 0.1%

109세여자
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 row0
3rd row0
4th row0
5th row0

Common Values

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

Length

2024-04-06T17:58:12.572295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:12.733845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9977
99.8%
1 23
 
0.2%

110세이상 여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9955 
1
 
42
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 9955
99.6%
1 42
 
0.4%
2 2
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:58:12.930926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:13.134225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9955
99.6%
1 42
 
0.4%
2 2
 
< 0.1%
3 1
 
< 0.1%

Sample

법정동코드기준연월시도명시군구명읍면동명리명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
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법정동코드기준연월시도명시군구명읍면동명리명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
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