Overview

Dataset statistics

Number of variables230
Number of observations3613
Missing cells24
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 MiB
Average record size in memory2.0 KiB

Variable types

Numeric183
DateTime1
Categorical44
Text2

Dataset

Description지역별(행정동) 세대주의 성별 연령별 현황 통계데이터입니다.행정동은 주민들이 거주하는 지역을 행정능률과 주민편의를 위하여 구분한 행정구역 단위를 의미합니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15124773/fileData.do

Alerts

기준연월 has constant value ""Constant
0세남자 is highly imbalanced (97.5%)Imbalance
1세남자 is highly imbalanced (94.9%)Imbalance
2세남자 is highly imbalanced (91.1%)Imbalance
3세남자 is highly imbalanced (89.2%)Imbalance
4세남자 is highly imbalanced (88.9%)Imbalance
5세남자 is highly imbalanced (87.6%)Imbalance
6세남자 is highly imbalanced (84.6%)Imbalance
7세남자 is highly imbalanced (83.6%)Imbalance
8세남자 is highly imbalanced (80.1%)Imbalance
9세남자 is highly imbalanced (79.4%)Imbalance
97세남자 is highly imbalanced (54.9%)Imbalance
99세남자 is highly imbalanced (76.1%)Imbalance
100세남자 is highly imbalanced (77.4%)Imbalance
101세남자 is highly imbalanced (80.6%)Imbalance
102세남자 is highly imbalanced (86.3%)Imbalance
103세남자 is highly imbalanced (90.4%)Imbalance
104세남자 is highly imbalanced (92.5%)Imbalance
105세남자 is highly imbalanced (94.0%)Imbalance
106세남자 is highly imbalanced (95.7%)Imbalance
107세남자 is highly imbalanced (96.6%)Imbalance
108세남자 is highly imbalanced (98.0%)Imbalance
109세남자 is highly imbalanced (98.2%)Imbalance
110세이상 남자 is highly imbalanced (97.6%)Imbalance
0세여자 is highly imbalanced (96.8%)Imbalance
1세여자 is highly imbalanced (95.6%)Imbalance
2세여자 is highly imbalanced (92.1%)Imbalance
3세여자 is highly imbalanced (90.2%)Imbalance
4세여자 is highly imbalanced (85.4%)Imbalance
5세여자 is highly imbalanced (86.8%)Imbalance
6세여자 is highly imbalanced (84.2%)Imbalance
7세여자 is highly imbalanced (81.4%)Imbalance
9세여자 is highly imbalanced (79.2%)Imbalance
10세여자 is highly imbalanced (77.3%)Imbalance
101세여자 is highly imbalanced (63.2%)Imbalance
102세여자 is highly imbalanced (75.4%)Imbalance
103세여자 is highly imbalanced (79.0%)Imbalance
104세여자 is highly imbalanced (86.8%)Imbalance
105세여자 is highly imbalanced (88.5%)Imbalance
106세여자 is highly imbalanced (86.2%)Imbalance
107세여자 is highly imbalanced (92.6%)Imbalance
108세여자 is highly imbalanced (89.6%)Imbalance
109세여자 is highly imbalanced (92.5%)Imbalance
110세이상 여자 is highly imbalanced (92.2%)Imbalance
15세남자 is highly skewed (γ1 = 25.24274507)Skewed
16세남자 is highly skewed (γ1 = 26.32074733)Skewed
17세남자 is highly skewed (γ1 = 28.0247994)Skewed
행정기관코드 has unique valuesUnique
10세남자 has 3254 (90.1%) zerosZeros
11세남자 has 3223 (89.2%) zerosZeros
12세남자 has 3196 (88.5%) zerosZeros
13세남자 has 3159 (87.4%) zerosZeros
14세남자 has 3162 (87.5%) zerosZeros
15세남자 has 3053 (84.5%) zerosZeros
16세남자 has 2956 (81.8%) zerosZeros
17세남자 has 2888 (79.9%) zerosZeros
18세남자 has 2216 (61.3%) zerosZeros
19세남자 has 1603 (44.4%) zerosZeros
20세남자 has 1258 (34.8%) zerosZeros
21세남자 has 964 (26.7%) zerosZeros
22세남자 has 678 (18.8%) zerosZeros
23세남자 has 489 (13.5%) zerosZeros
24세남자 has 407 (11.3%) zerosZeros
25세남자 has 302 (8.4%) zerosZeros
26세남자 has 250 (6.9%) zerosZeros
27세남자 has 229 (6.3%) zerosZeros
28세남자 has 184 (5.1%) zerosZeros
29세남자 has 191 (5.3%) zerosZeros
30세남자 has 185 (5.1%) zerosZeros
31세남자 has 160 (4.4%) zerosZeros
32세남자 has 159 (4.4%) zerosZeros
33세남자 has 190 (5.3%) zerosZeros
34세남자 has 160 (4.4%) zerosZeros
35세남자 has 151 (4.2%) zerosZeros
36세남자 has 147 (4.1%) zerosZeros
37세남자 has 120 (3.3%) zerosZeros
38세남자 has 99 (2.7%) zerosZeros
39세남자 has 106 (2.9%) zerosZeros
40세남자 has 63 (1.7%) zerosZeros
41세남자 has 59 (1.6%) zerosZeros
42세남자 has 45 (1.2%) zerosZeros
43세남자 has 49 (1.4%) zerosZeros
86세남자 has 42 (1.2%) zerosZeros
87세남자 has 42 (1.2%) zerosZeros
88세남자 has 78 (2.2%) zerosZeros
89세남자 has 115 (3.2%) zerosZeros
90세남자 has 233 (6.4%) zerosZeros
91세남자 has 384 (10.6%) zerosZeros
92세남자 has 618 (17.1%) zerosZeros
93세남자 has 1042 (28.8%) zerosZeros
94세남자 has 1320 (36.5%) zerosZeros
95세남자 has 1770 (49.0%) zerosZeros
96세남자 has 2168 (60.0%) zerosZeros
98세남자 has 3055 (84.6%) zerosZeros
8세여자 has 3346 (92.6%) zerosZeros
11세여자 has 3211 (88.9%) zerosZeros
12세여자 has 3254 (90.1%) zerosZeros
13세여자 has 3180 (88.0%) zerosZeros
14세여자 has 3149 (87.2%) zerosZeros
15세여자 has 3067 (84.9%) zerosZeros
16세여자 has 2955 (81.8%) zerosZeros
17세여자 has 2900 (80.3%) zerosZeros
18세여자 has 2244 (62.1%) zerosZeros
19세여자 has 1612 (44.6%) zerosZeros
20세여자 has 1287 (35.6%) zerosZeros
21세여자 has 1076 (29.8%) zerosZeros
22세여자 has 839 (23.2%) zerosZeros
23세여자 has 687 (19.0%) zerosZeros
24세여자 has 589 (16.3%) zerosZeros
25세여자 has 511 (14.1%) zerosZeros
26세여자 has 471 (13.0%) zerosZeros
27세여자 has 431 (11.9%) zerosZeros
28세여자 has 408 (11.3%) zerosZeros
29세여자 has 397 (11.0%) zerosZeros
30세여자 has 404 (11.2%) zerosZeros
31세여자 has 379 (10.5%) zerosZeros
32세여자 has 366 (10.1%) zerosZeros
33세여자 has 377 (10.4%) zerosZeros
34세여자 has 384 (10.6%) zerosZeros
35세여자 has 356 (9.9%) zerosZeros
36세여자 has 360 (10.0%) zerosZeros
37세여자 has 362 (10.0%) zerosZeros
38세여자 has 332 (9.2%) zerosZeros
39세여자 has 307 (8.5%) zerosZeros
40세여자 has 260 (7.2%) zerosZeros
41세여자 has 232 (6.4%) zerosZeros
42세여자 has 196 (5.4%) zerosZeros
43세여자 has 199 (5.5%) zerosZeros
44세여자 has 197 (5.5%) zerosZeros
45세여자 has 215 (6.0%) zerosZeros
46세여자 has 168 (4.6%) zerosZeros
47세여자 has 160 (4.4%) zerosZeros
48세여자 has 139 (3.8%) zerosZeros
49세여자 has 91 (2.5%) zerosZeros
50세여자 has 94 (2.6%) zerosZeros
51세여자 has 61 (1.7%) zerosZeros
52세여자 has 73 (2.0%) zerosZeros
53세여자 has 44 (1.2%) zerosZeros
54세여자 has 38 (1.1%) zerosZeros
89세여자 has 39 (1.1%) zerosZeros
90세여자 has 63 (1.7%) zerosZeros
91세여자 has 89 (2.5%) zerosZeros
92세여자 has 146 (4.0%) zerosZeros
93세여자 has 260 (7.2%) zerosZeros
94세여자 has 402 (11.1%) zerosZeros
95세여자 has 634 (17.5%) zerosZeros
96세여자 has 936 (25.9%) zerosZeros
97세여자 has 1453 (40.2%) zerosZeros
98세여자 has 2025 (56.0%) zerosZeros
99세여자 has 2491 (68.9%) zerosZeros
100세여자 has 2716 (75.2%) zerosZeros

Reproduction

Analysis started2024-04-06 08:14:43.780857
Analysis finished2024-04-06 08:14:47.455069
Duration3.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정기관코드
Real number (ℝ)

UNIQUE 

Distinct3613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8327467 × 109
Minimum1.1110515 × 109
Maximum5.280042 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:14:47.613894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110515 × 109
5-th percentile1.1380557 × 109
Q12.8260544 × 109
median4.311135 × 109
Q34.773033 × 109
95-th percentile5.2134532 × 109
Maximum5.280042 × 109
Range4.1689905 × 109
Interquartile range (IQR)1.9469786 × 109

Descriptive statistics

Standard deviation1.2616173 × 109
Coefficient of variation (CV)0.32916794
Kurtosis-0.20220735
Mean3.8327467 × 109
Median Absolute Deviation (MAD)5.21921 × 108
Skewness-0.98268915
Sum1.3847714 × 1013
Variance1.5916783 × 1018
MonotonicityStrictly increasing
2024-04-06T17:14:48.055328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1111051500 1
 
< 0.1%
4681040000 1
 
< 0.1%
4684025800 1
 
< 0.1%
4684032000 1
 
< 0.1%
4684033000 1
 
< 0.1%
4684034000 1
 
< 0.1%
4684035000 1
 
< 0.1%
4684036000 1
 
< 0.1%
4684037000 1
 
< 0.1%
4686025000 1
 
< 0.1%
Other values (3603) 3603
99.7%
ValueCountFrequency (%)
1111051500 1
< 0.1%
1111053000 1
< 0.1%
1111054000 1
< 0.1%
1111055000 1
< 0.1%
1111056000 1
< 0.1%
1111057000 1
< 0.1%
1111058000 1
< 0.1%
1111060000 1
< 0.1%
1111061500 1
< 0.1%
1111063000 1
< 0.1%
ValueCountFrequency (%)
5280042000 1
< 0.1%
5280041000 1
< 0.1%
5280040000 1
< 0.1%
5280039000 1
< 0.1%
5280038000 1
< 0.1%
5280037000 1
< 0.1%
5280036000 1
< 0.1%
5280035000 1
< 0.1%
5280034000 1
< 0.1%
5280033000 1
< 0.1%

기준연월
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
Minimum2024-03-31 00:00:00
Maximum2024-03-31 00:00:00
2024-04-06T17:14:48.323721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:48.503774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시도명
Categorical

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
경기도
602 
서울특별시
426 
경상북도
335 
전라남도
323 
경상남도
310 
Other values (12)
1617 

Length

Max length7
Median length5
Mean length4.5773595
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 602
16.7%
서울특별시 426
11.8%
경상북도 335
9.3%
전라남도 323
8.9%
경상남도 310
8.6%
전북특별자치도 243
6.7%
충청남도 210
 
5.8%
부산광역시 205
 
5.7%
강원특별자치도 194
 
5.4%
인천광역시 160
 
4.4%
Other values (7) 605
16.7%

Length

2024-04-06T17:14:48.750829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 602
16.7%
서울특별시 426
11.8%
경상북도 335
9.3%
전라남도 323
8.9%
경상남도 310
8.6%
전북특별자치도 243
6.7%
충청남도 210
 
5.8%
부산광역시 205
 
5.7%
강원특별자치도 194
 
5.4%
인천광역시 160
 
4.4%
Other values (7) 605
16.7%
Distinct229
Distinct (%)6.4%
Missing24
Missing (%)0.7%
Memory size28.4 KiB
2024-04-06T17:14:49.495769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.4664252
Min length2

Characters and Unicode

Total characters12441
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

Unique0 ?
Unique (%)0.0%

Sample

1st row종로구
2nd row종로구
3rd row종로구
4th row종로구
5th row종로구
ValueCountFrequency (%)
서구 95
 
2.3%
북구 87
 
2.1%
동구 83
 
2.0%
중구 77
 
1.9%
남구 75
 
1.9%
창원시 55
 
1.4%
성남시 50
 
1.2%
수원시 44
 
1.1%
고양시 44
 
1.1%
청주시 43
 
1.1%
Other values (229) 3399
83.9%
2024-04-06T17:14:50.420638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1641
 
13.2%
1632
 
13.1%
908
 
7.3%
463
 
3.7%
409
 
3.3%
343
 
2.8%
342
 
2.7%
297
 
2.4%
293
 
2.4%
274
 
2.2%
Other values (133) 5839
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11978
96.3%
Space Separator 463
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1641
 
13.7%
1632
 
13.6%
908
 
7.6%
409
 
3.4%
343
 
2.9%
342
 
2.9%
297
 
2.5%
293
 
2.4%
274
 
2.3%
263
 
2.2%
Other values (132) 5576
46.6%
Space Separator
ValueCountFrequency (%)
463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11978
96.3%
Common 463
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1641
 
13.7%
1632
 
13.6%
908
 
7.6%
409
 
3.4%
343
 
2.9%
342
 
2.9%
297
 
2.5%
293
 
2.4%
274
 
2.3%
263
 
2.2%
Other values (132) 5576
46.6%
Common
ValueCountFrequency (%)
463
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11978
96.3%
ASCII 463
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1641
 
13.7%
1632
 
13.6%
908
 
7.6%
409
 
3.4%
343
 
2.9%
342
 
2.9%
297
 
2.5%
293
 
2.4%
274
 
2.3%
263
 
2.2%
Other values (132) 5576
46.6%
ASCII
ValueCountFrequency (%)
463
100.0%
Distinct3277
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
2024-04-06T17:14:51.186249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.5203432
Min length2

Characters and Unicode

Total characters12719
Distinct characters348
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3056 ?
Unique (%)84.6%

Sample

1st row청운효자동
2nd row사직동
3rd row삼청동
4th row부암동
5th row평창동
ValueCountFrequency (%)
중앙동 31
 
0.9%
남면 12
 
0.3%
서면 9
 
0.2%
북면 8
 
0.2%
송정동 7
 
0.2%
금성면 5
 
0.1%
신흥동 5
 
0.1%
동면 5
 
0.1%
교동 5
 
0.1%
성산면 4
 
0.1%
Other values (3267) 3522
97.5%
2024-04-06T17:14:52.104878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2293
 
18.0%
1212
 
9.5%
1 399
 
3.1%
2 388
 
3.1%
354
 
2.8%
298
 
2.3%
258
 
2.0%
3 169
 
1.3%
159
 
1.3%
158
 
1.2%
Other values (338) 7031
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11568
91.0%
Decimal Number 1118
 
8.8%
Other Punctuation 33
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2293
 
19.8%
1212
 
10.5%
354
 
3.1%
298
 
2.6%
258
 
2.2%
159
 
1.4%
158
 
1.4%
153
 
1.3%
148
 
1.3%
136
 
1.2%
Other values (327) 6399
55.3%
Decimal Number
ValueCountFrequency (%)
1 399
35.7%
2 388
34.7%
3 169
15.1%
4 80
 
7.2%
5 35
 
3.1%
6 22
 
2.0%
7 11
 
1.0%
8 7
 
0.6%
9 5
 
0.4%
0 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11568
91.0%
Common 1151
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2293
 
19.8%
1212
 
10.5%
354
 
3.1%
298
 
2.6%
258
 
2.2%
159
 
1.4%
158
 
1.4%
153
 
1.3%
148
 
1.3%
136
 
1.2%
Other values (327) 6399
55.3%
Common
ValueCountFrequency (%)
1 399
34.7%
2 388
33.7%
3 169
14.7%
4 80
 
7.0%
5 35
 
3.0%
. 33
 
2.9%
6 22
 
1.9%
7 11
 
1.0%
8 7
 
0.6%
9 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11568
91.0%
ASCII 1151
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2293
 
19.8%
1212
 
10.5%
354
 
3.1%
298
 
2.6%
258
 
2.2%
159
 
1.4%
158
 
1.4%
153
 
1.3%
148
 
1.3%
136
 
1.2%
Other values (327) 6399
55.3%
ASCII
ValueCountFrequency (%)
1 399
34.7%
2 388
33.7%
3 169
14.7%
4 80
 
7.0%
5 35
 
3.0%
. 33
 
2.9%
6 22
 
1.9%
7 11
 
1.0%
8 7
 
0.6%
9 5
 
0.4%


Real number (ℝ)

Distinct3123
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6643.235
Minimum33
Maximum49083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:14:52.475161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile841.6
Q11905
median5276
Q39854
95-th percentile17423
Maximum49083
Range49050
Interquartile range (IQR)7949

Descriptive statistics

Standard deviation5660.2389
Coefficient of variation (CV)0.85203051
Kurtosis3.4067597
Mean6643.235
Median Absolute Deviation (MAD)3662
Skewness1.4354419
Sum24002008
Variance32038304
MonotonicityNot monotonic
2024-04-06T17:14:53.103311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1118 5
 
0.1%
1241 4
 
0.1%
1683 4
 
0.1%
11464 4
 
0.1%
1658 4
 
0.1%
1009 4
 
0.1%
601 4
 
0.1%
1129 3
 
0.1%
1002 3
 
0.1%
1832 3
 
0.1%
Other values (3113) 3575
98.9%
ValueCountFrequency (%)
33 1
< 0.1%
43 1
< 0.1%
60 1
< 0.1%
93 1
< 0.1%
110 1
< 0.1%
124 1
< 0.1%
131 1
< 0.1%
133 1
< 0.1%
135 1
< 0.1%
139 1
< 0.1%
ValueCountFrequency (%)
49083 1
< 0.1%
41281 1
< 0.1%
40910 1
< 0.1%
40393 1
< 0.1%
40173 1
< 0.1%
39650 1
< 0.1%
34967 1
< 0.1%
33362 1
< 0.1%
32248 1
< 0.1%
31896 1
< 0.1%

남자
Real number (ℝ)

Distinct2921
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4296.3183
Minimum20
Maximum33428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:14:53.476057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile533.8
Q11223
median3359
Q36318
95-th percentile11229.4
Maximum33428
Range33408
Interquartile range (IQR)5095

Descriptive statistics

Standard deviation3736.3883
Coefficient of variation (CV)0.86967213
Kurtosis4.1908587
Mean4296.3183
Median Absolute Deviation (MAD)2336
Skewness1.5594869
Sum15522598
Variance13960597
MonotonicityNot monotonic
2024-04-06T17:14:53.819613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
833 5
 
0.1%
844 5
 
0.1%
608 5
 
0.1%
566 5
 
0.1%
1046 5
 
0.1%
733 5
 
0.1%
653 4
 
0.1%
804 4
 
0.1%
1243 4
 
0.1%
571 4
 
0.1%
Other values (2911) 3567
98.7%
ValueCountFrequency (%)
20 1
< 0.1%
23 1
< 0.1%
33 1
< 0.1%
70 1
< 0.1%
73 1
< 0.1%
79 1
< 0.1%
83 1
< 0.1%
84 1
< 0.1%
88 2
0.1%
94 1
< 0.1%
ValueCountFrequency (%)
33428 1
< 0.1%
28513 1
< 0.1%
28282 1
< 0.1%
27402 1
< 0.1%
27083 1
< 0.1%
26631 1
< 0.1%
23071 1
< 0.1%
22607 1
< 0.1%
22235 1
< 0.1%
21457 1
< 0.1%

여자
Real number (ℝ)

Distinct2559
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2346.9167
Minimum13
Maximum15655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:14:54.148527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile297.6
Q1670
median1879
Q33467
95-th percentile6240.2
Maximum15655
Range15642
Interquartile range (IQR)2797

Descriptive statistics

Standard deviation1997.9197
Coefficient of variation (CV)0.85129551
Kurtosis2.6710741
Mean2346.9167
Median Absolute Deviation (MAD)1287
Skewness1.3726778
Sum8479410
Variance3991682.9
MonotonicityNot monotonic
2024-04-06T17:14:54.477070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
290 7
 
0.2%
411 6
 
0.2%
585 6
 
0.2%
391 6
 
0.2%
399 6
 
0.2%
445 6
 
0.2%
612 6
 
0.2%
321 6
 
0.2%
536 5
 
0.1%
396 5
 
0.1%
Other values (2549) 3554
98.4%
ValueCountFrequency (%)
13 1
 
< 0.1%
20 2
0.1%
27 1
 
< 0.1%
35 1
 
< 0.1%
40 2
0.1%
41 3
0.1%
43 1
 
< 0.1%
47 1
 
< 0.1%
50 1
 
< 0.1%
53 2
0.1%
ValueCountFrequency (%)
15655 1
< 0.1%
13827 1
< 0.1%
13019 1
< 0.1%
12999 1
< 0.1%
12991 1
< 0.1%
12732 1
< 0.1%
12012 1
< 0.1%
11660 1
< 0.1%
11413 1
< 0.1%
11276 1
< 0.1%

0세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3604 
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 3604
99.8%
1 9
 
0.2%

Length

2024-04-06T17:14:54.788838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:54.989414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3604
99.8%
1 9
 
0.2%

1세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3578 
1
 
34
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 3578
99.0%
1 34
 
0.9%
3 1
 
< 0.1%

Length

2024-04-06T17:14:55.264015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:55.512417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3578
99.0%
1 34
 
0.9%
3 1
 
< 0.1%

2세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3545 
1
 
64
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 3545
98.1%
1 64
 
1.8%
2 4
 
0.1%

Length

2024-04-06T17:14:55.745591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:55.975994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3545
98.1%
1 64
 
1.8%
2 4
 
0.1%

3세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3524 
1
 
87
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3524
97.5%
1 87
 
2.4%
2 2
 
0.1%

Length

2024-04-06T17:14:56.205121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:56.524345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3524
97.5%
1 87
 
2.4%
2 2
 
0.1%

4세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3491 
1
 
117
2
 
3
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 3491
96.6%
1 117
 
3.2%
2 3
 
0.1%
3 2
 
0.1%

Length

2024-04-06T17:14:56.740206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:57.005852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3491
96.6%
1 117
 
3.2%
2 3
 
0.1%
3 2
 
0.1%

5세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3452 
1
 
145
2
 
13
3
 
2
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 3452
95.5%
1 145
 
4.0%
2 13
 
0.4%
3 2
 
0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:14:57.371762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:57.592066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3452
95.5%
1 145
 
4.0%
2 13
 
0.4%
3 2
 
0.1%
4 1
 
< 0.1%

6세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3439 
1
 
153
2
 
17
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 3439
95.2%
1 153
 
4.2%
2 17
 
0.5%
3 4
 
0.1%

Length

2024-04-06T17:14:57.817594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:58.027316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3439
95.2%
1 153
 
4.2%
2 17
 
0.5%
3 4
 
0.1%

7세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3380 
1
 
211
2
 
17
3
 
4
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 3380
93.6%
1 211
 
5.8%
2 17
 
0.5%
3 4
 
0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:14:58.258516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:58.503306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3380
93.6%
1 211
 
5.8%
2 17
 
0.5%
3 4
 
0.1%
4 1
 
< 0.1%

8세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3358 
1
 
237
2
 
15
3
 
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 3358
92.9%
1 237
 
6.6%
2 15
 
0.4%
3 3
 
0.1%

Length

2024-04-06T17:14:58.736507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:58.932507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3358
92.9%
1 237
 
6.6%
2 15
 
0.4%
3 3
 
0.1%

9세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3304 
1
 
269
2
 
34
3
 
4
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 3304
91.4%
1 269
 
7.4%
2 34
 
0.9%
3 4
 
0.1%
4 2
 
0.1%

Length

2024-04-06T17:14:59.236436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:14:59.467228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3304
91.4%
1 269
 
7.4%
2 34
 
0.9%
3 4
 
0.1%
4 2
 
0.1%

10세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.117354
Minimum0
Maximum6
Zeros3254
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:14:59.667148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.38817013
Coefficient of variation (CV)3.3076856
Kurtosis29.186858
Mean0.117354
Median Absolute Deviation (MAD)0
Skewness4.3693625
Sum424
Variance0.15067605
MonotonicityNot monotonic
2024-04-06T17:14:59.880120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3254
90.1%
1 307
 
8.5%
2 43
 
1.2%
3 7
 
0.2%
6 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 3254
90.1%
1 307
 
8.5%
2 43
 
1.2%
3 7
 
0.2%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 7
 
0.2%
2 43
 
1.2%
1 307
 
8.5%
0 3254
90.1%

11세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12980902
Minimum0
Maximum6
Zeros3223
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:00.105326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.4116653
Coefficient of variation (CV)3.171315
Kurtosis25.026381
Mean0.12980902
Median Absolute Deviation (MAD)0
Skewness4.1243828
Sum469
Variance0.16946832
MonotonicityNot monotonic
2024-04-06T17:15:00.338367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3223
89.2%
1 327
 
9.1%
2 51
 
1.4%
3 10
 
0.3%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3223
89.2%
1 327
 
9.1%
2 51
 
1.4%
3 10
 
0.3%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 10
 
0.3%
2 51
 
1.4%
1 327
 
9.1%
0 3223
89.2%

12세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14115693
Minimum0
Maximum16
Zeros3196
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:00.688766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.49190849
Coefficient of variation (CV)3.4848341
Kurtosis307.32951
Mean0.14115693
Median Absolute Deviation (MAD)0
Skewness11.514496
Sum510
Variance0.24197397
MonotonicityNot monotonic
2024-04-06T17:15:00.973830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3196
88.5%
1 353
 
9.8%
2 53
 
1.5%
4 5
 
0.1%
3 5
 
0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
0 3196
88.5%
1 353
 
9.8%
2 53
 
1.5%
3 5
 
0.1%
4 5
 
0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
4 5
 
0.1%
3 5
 
0.1%
2 53
 
1.5%
1 353
 
9.8%
0 3196
88.5%

13세남자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16246886
Minimum0
Maximum12
Zeros3159
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:01.235479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.53338977
Coefficient of variation (CV)3.2830277
Kurtosis95.610468
Mean0.16246886
Median Absolute Deviation (MAD)0
Skewness7.0180007
Sum587
Variance0.28450465
MonotonicityNot monotonic
2024-04-06T17:15:01.496875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3159
87.4%
1 374
 
10.4%
2 56
 
1.5%
3 14
 
0.4%
4 3
 
0.1%
6 3
 
0.1%
5 2
 
0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 3159
87.4%
1 374
 
10.4%
2 56
 
1.5%
3 14
 
0.4%
4 3
 
0.1%
5 2
 
0.1%
6 3
 
0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
0.1%
5 2
 
0.1%
4 3
 
0.1%
3 14
 
0.4%
2 56
 
1.5%
1 374
 
10.4%
0 3159
87.4%

14세남자
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16468309
Minimum0
Maximum22
Zeros3162
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:01.806827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67156566
Coefficient of variation (CV)4.0779273
Kurtosis489.18067
Mean0.16468309
Median Absolute Deviation (MAD)0
Skewness17.282172
Sum595
Variance0.45100043
MonotonicityNot monotonic
2024-04-06T17:15:02.025480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3162
87.5%
1 375
 
10.4%
2 57
 
1.6%
3 10
 
0.3%
4 4
 
0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
22 1
 
< 0.1%
19 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 3162
87.5%
1 375
 
10.4%
2 57
 
1.6%
3 10
 
0.3%
4 4
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
19 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
19 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 4
 
0.1%
3 10
 
0.3%
2 57
 
1.6%
1 375
 
10.4%
0 3162
87.5%

15세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38195405
Minimum0
Maximum125
Zeros3053
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:02.389235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum125
Range125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2724607
Coefficient of variation (CV)8.5676814
Kurtosis792.71577
Mean0.38195405
Median Absolute Deviation (MAD)0
Skewness25.242745
Sum1380
Variance10.708999
MonotonicityNot monotonic
2024-04-06T17:15:02.691162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3053
84.5%
1 439
 
12.2%
2 73
 
2.0%
3 10
 
0.3%
4 5
 
0.1%
5 5
 
0.1%
19 3
 
0.1%
8 3
 
0.1%
16 2
 
0.1%
24 2
 
0.1%
Other values (15) 18
 
0.5%
ValueCountFrequency (%)
0 3053
84.5%
1 439
 
12.2%
2 73
 
2.0%
3 10
 
0.3%
4 5
 
0.1%
5 5
 
0.1%
6 2
 
0.1%
8 3
 
0.1%
9 2
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
125 1
< 0.1%
87 1
< 0.1%
69 1
< 0.1%
43 1
< 0.1%
41 1
< 0.1%
35 1
< 0.1%
25 1
< 0.1%
24 2
0.1%
21 1
< 0.1%
20 1
< 0.1%

16세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50429006
Minimum0
Maximum156
Zeros2956
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:03.001464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum156
Range156
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.33799
Coefficient of variation (CV)8.6021722
Kurtosis834.51137
Mean0.50429006
Median Absolute Deviation (MAD)0
Skewness26.320747
Sum1822
Variance18.818157
MonotonicityNot monotonic
2024-04-06T17:15:03.282250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 2956
81.8%
1 492
 
13.6%
2 87
 
2.4%
3 16
 
0.4%
4 14
 
0.4%
7 6
 
0.2%
5 5
 
0.1%
9 4
 
0.1%
8 4
 
0.1%
13 3
 
0.1%
Other values (18) 26
 
0.7%
ValueCountFrequency (%)
0 2956
81.8%
1 492
 
13.6%
2 87
 
2.4%
3 16
 
0.4%
4 14
 
0.4%
5 5
 
0.1%
6 3
 
0.1%
7 6
 
0.2%
8 4
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
156 1
< 0.1%
143 1
< 0.1%
87 1
< 0.1%
47 1
< 0.1%
45 1
< 0.1%
42 1
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%

17세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51287019
Minimum0
Maximum179
Zeros2888
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:03.630339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum179
Range179
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3372071
Coefficient of variation (CV)8.4567346
Kurtosis970.18644
Mean0.51287019
Median Absolute Deviation (MAD)0
Skewness28.024799
Sum1853
Variance18.811365
MonotonicityNot monotonic
2024-04-06T17:15:03.987384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 2888
79.9%
1 530
 
14.7%
2 117
 
3.2%
3 25
 
0.7%
4 9
 
0.2%
6 7
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
9 3
 
0.1%
11 3
 
0.1%
Other values (18) 24
 
0.7%
ValueCountFrequency (%)
0 2888
79.9%
1 530
 
14.7%
2 117
 
3.2%
3 25
 
0.7%
4 9
 
0.2%
5 3
 
0.1%
6 7
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
179 1
< 0.1%
109 1
< 0.1%
85 1
< 0.1%
70 1
< 0.1%
50 1
< 0.1%
48 1
< 0.1%
37 1
< 0.1%
23 1
< 0.1%
21 2
0.1%
20 1
< 0.1%

18세남자
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5939662
Minimum0
Maximum182
Zeros2216
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:04.406933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum182
Range182
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.7006749
Coefficient of variation (CV)4.2037747
Kurtosis258.7468
Mean1.5939662
Median Absolute Deviation (MAD)0
Skewness13.668175
Sum5759
Variance44.899044
MonotonicityNot monotonic
2024-04-06T17:15:04.873925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2216
61.3%
1 655
 
18.1%
2 287
 
7.9%
3 125
 
3.5%
4 83
 
2.3%
5 42
 
1.2%
6 41
 
1.1%
7 24
 
0.7%
8 16
 
0.4%
9 15
 
0.4%
Other values (42) 109
 
3.0%
ValueCountFrequency (%)
0 2216
61.3%
1 655
 
18.1%
2 287
 
7.9%
3 125
 
3.5%
4 83
 
2.3%
5 42
 
1.2%
6 41
 
1.1%
7 24
 
0.7%
8 16
 
0.4%
9 15
 
0.4%
ValueCountFrequency (%)
182 1
< 0.1%
125 1
< 0.1%
118 1
< 0.1%
116 1
< 0.1%
95 1
< 0.1%
77 1
< 0.1%
75 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%
66 1
< 0.1%

19세남자
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2668143
Minimum0
Maximum218
Zeros1603
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:05.375623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum218
Range218
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.481735
Coefficient of variation (CV)3.2085495
Kurtosis134.07853
Mean3.2668143
Median Absolute Deviation (MAD)1
Skewness9.7161124
Sum11803
Variance109.86677
MonotonicityNot monotonic
2024-04-06T17:15:05.852932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1603
44.4%
1 711
19.7%
2 395
 
10.9%
3 220
 
6.1%
4 139
 
3.8%
5 102
 
2.8%
6 59
 
1.6%
8 55
 
1.5%
7 52
 
1.4%
9 36
 
1.0%
Other values (60) 241
 
6.7%
ValueCountFrequency (%)
0 1603
44.4%
1 711
19.7%
2 395
 
10.9%
3 220
 
6.1%
4 139
 
3.8%
5 102
 
2.8%
6 59
 
1.6%
7 52
 
1.4%
8 55
 
1.5%
9 36
 
1.0%
ValueCountFrequency (%)
218 1
< 0.1%
182 1
< 0.1%
171 1
< 0.1%
156 1
< 0.1%
139 1
< 0.1%
138 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
90 1
< 0.1%

20세남자
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2922779
Minimum0
Maximum163
Zeros1258
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:06.605024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile17
Maximum163
Range163
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.244013
Coefficient of variation (CV)2.6195912
Kurtosis71.429297
Mean4.2922779
Median Absolute Deviation (MAD)1
Skewness7.3328261
Sum15508
Variance126.42784
MonotonicityNot monotonic
2024-04-06T17:15:06.975136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1258
34.8%
1 684
18.9%
2 390
 
10.8%
3 304
 
8.4%
4 197
 
5.5%
5 136
 
3.8%
6 110
 
3.0%
8 65
 
1.8%
7 64
 
1.8%
9 44
 
1.2%
Other values (69) 361
 
10.0%
ValueCountFrequency (%)
0 1258
34.8%
1 684
18.9%
2 390
 
10.8%
3 304
 
8.4%
4 197
 
5.5%
5 136
 
3.8%
6 110
 
3.0%
7 64
 
1.8%
8 65
 
1.8%
9 44
 
1.2%
ValueCountFrequency (%)
163 1
< 0.1%
151 1
< 0.1%
148 1
< 0.1%
147 1
< 0.1%
142 1
< 0.1%
138 1
< 0.1%
133 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
108 1
< 0.1%

21세남자
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9579297
Minimum0
Maximum205
Zeros964
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:07.361330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile29
Maximum205
Range205
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.583738
Coefficient of variation (CV)2.38343
Kurtosis45.092283
Mean6.9579297
Median Absolute Deviation (MAD)2
Skewness5.9125486
Sum25139
Variance275.02038
MonotonicityNot monotonic
2024-04-06T17:15:07.645425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
26.7%
1 578
16.0%
2 390
10.8%
3 308
 
8.5%
4 197
 
5.5%
5 176
 
4.9%
6 131
 
3.6%
7 110
 
3.0%
8 81
 
2.2%
9 66
 
1.8%
Other values (95) 612
16.9%
ValueCountFrequency (%)
0 964
26.7%
1 578
16.0%
2 390
10.8%
3 308
 
8.5%
4 197
 
5.5%
5 176
 
4.9%
6 131
 
3.6%
7 110
 
3.0%
8 81
 
2.2%
9 66
 
1.8%
ValueCountFrequency (%)
205 1
< 0.1%
190 1
< 0.1%
181 2
0.1%
173 1
< 0.1%
170 1
< 0.1%
169 1
< 0.1%
158 2
0.1%
153 1
< 0.1%
149 1
< 0.1%
145 1
< 0.1%

22세남자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.889565
Minimum0
Maximum372
Zeros678
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:07.924300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q311
95-th percentile48
Maximum372
Range372
Interquartile range (IQR)10

Descriptive statistics

Standard deviation28.455542
Coefficient of variation (CV)2.3933206
Kurtosis49.30593
Mean11.889565
Median Absolute Deviation (MAD)4
Skewness6.1402101
Sum42957
Variance809.71787
MonotonicityNot monotonic
2024-04-06T17:15:08.183942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 678
18.8%
1 514
14.2%
2 328
 
9.1%
3 233
 
6.4%
4 201
 
5.6%
5 194
 
5.4%
6 137
 
3.8%
8 127
 
3.5%
7 125
 
3.5%
10 83
 
2.3%
Other values (139) 993
27.5%
ValueCountFrequency (%)
0 678
18.8%
1 514
14.2%
2 328
9.1%
3 233
 
6.4%
4 201
 
5.6%
5 194
 
5.4%
6 137
 
3.8%
7 125
 
3.5%
8 127
 
3.5%
9 82
 
2.3%
ValueCountFrequency (%)
372 1
< 0.1%
339 2
0.1%
324 1
< 0.1%
303 1
< 0.1%
294 1
< 0.1%
286 1
< 0.1%
284 1
< 0.1%
269 1
< 0.1%
268 1
< 0.1%
258 1
< 0.1%

23세남자
Real number (ℝ)

ZEROS 

Distinct190
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.322447
Minimum0
Maximum571
Zeros489
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:08.446830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q317
95-th percentile72.4
Maximum571
Range571
Interquartile range (IQR)16

Descriptive statistics

Standard deviation41.687133
Coefficient of variation (CV)2.2751947
Kurtosis51.470594
Mean18.322447
Median Absolute Deviation (MAD)5
Skewness6.1318268
Sum66199
Variance1737.8171
MonotonicityNot monotonic
2024-04-06T17:15:08.666160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489
 
13.5%
1 449
 
12.4%
2 265
 
7.3%
3 214
 
5.9%
4 154
 
4.3%
5 154
 
4.3%
6 124
 
3.4%
7 116
 
3.2%
8 111
 
3.1%
11 101
 
2.8%
Other values (180) 1436
39.7%
ValueCountFrequency (%)
0 489
13.5%
1 449
12.4%
2 265
7.3%
3 214
5.9%
4 154
 
4.3%
5 154
 
4.3%
6 124
 
3.4%
7 116
 
3.2%
8 111
 
3.1%
9 95
 
2.6%
ValueCountFrequency (%)
571 1
< 0.1%
534 1
< 0.1%
530 1
< 0.1%
509 1
< 0.1%
496 1
< 0.1%
433 1
< 0.1%
391 1
< 0.1%
379 1
< 0.1%
359 1
< 0.1%
344 1
< 0.1%

24세남자
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.211459
Minimum0
Maximum580
Zeros407
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:08.917286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q323
95-th percentile90
Maximum580
Range580
Interquartile range (IQR)21

Descriptive statistics

Standard deviation43.994294
Coefficient of variation (CV)1.9807026
Kurtosis43.889658
Mean22.211459
Median Absolute Deviation (MAD)8
Skewness5.4762454
Sum80250
Variance1935.4979
MonotonicityNot monotonic
2024-04-06T17:15:09.253344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 407
 
11.3%
1 357
 
9.9%
2 279
 
7.7%
3 165
 
4.6%
4 150
 
4.2%
5 141
 
3.9%
6 116
 
3.2%
9 101
 
2.8%
12 97
 
2.7%
7 95
 
2.6%
Other values (197) 1705
47.2%
ValueCountFrequency (%)
0 407
11.3%
1 357
9.9%
2 279
7.7%
3 165
4.6%
4 150
 
4.2%
5 141
 
3.9%
6 116
 
3.2%
7 95
 
2.6%
8 87
 
2.4%
9 101
 
2.8%
ValueCountFrequency (%)
580 1
< 0.1%
575 1
< 0.1%
542 1
< 0.1%
522 1
< 0.1%
492 1
< 0.1%
489 1
< 0.1%
402 1
< 0.1%
384 1
< 0.1%
375 1
< 0.1%
340 1
< 0.1%

25세남자
Real number (ℝ)

ZEROS 

Distinct215
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.633822
Minimum0
Maximum628
Zeros302
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:09.548472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q331
95-th percentile107
Maximum628
Range628
Interquartile range (IQR)28

Descriptive statistics

Standard deviation46.164988
Coefficient of variation (CV)1.7333219
Kurtosis33.831909
Mean26.633822
Median Absolute Deviation (MAD)11
Skewness4.6850214
Sum96228
Variance2131.2061
MonotonicityNot monotonic
2024-04-06T17:15:09.793908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 330
 
9.1%
0 302
 
8.4%
2 251
 
6.9%
3 175
 
4.8%
4 139
 
3.8%
8 110
 
3.0%
5 103
 
2.9%
6 93
 
2.6%
13 79
 
2.2%
7 77
 
2.1%
Other values (205) 1954
54.1%
ValueCountFrequency (%)
0 302
8.4%
1 330
9.1%
2 251
6.9%
3 175
4.8%
4 139
3.8%
5 103
 
2.9%
6 93
 
2.6%
7 77
 
2.1%
8 110
 
3.0%
9 73
 
2.0%
ValueCountFrequency (%)
628 1
< 0.1%
548 1
< 0.1%
520 1
< 0.1%
499 1
< 0.1%
495 1
< 0.1%
436 1
< 0.1%
426 1
< 0.1%
423 1
< 0.1%
342 1
< 0.1%
337 1
< 0.1%

26세남자
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.419596
Minimum0
Maximum601
Zeros250
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:10.073679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q338
95-th percentile122
Maximum601
Range601
Interquartile range (IQR)35

Descriptive statistics

Standard deviation51.610325
Coefficient of variation (CV)1.5919484
Kurtosis23.254015
Mean32.419596
Median Absolute Deviation (MAD)13
Skewness3.95701
Sum117132
Variance2663.6257
MonotonicityNot monotonic
2024-04-06T17:15:10.356007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 311
 
8.6%
0 250
 
6.9%
2 200
 
5.5%
3 182
 
5.0%
4 123
 
3.4%
5 89
 
2.5%
6 82
 
2.3%
9 80
 
2.2%
11 78
 
2.2%
7 71
 
2.0%
Other values (228) 2147
59.4%
ValueCountFrequency (%)
0 250
6.9%
1 311
8.6%
2 200
5.5%
3 182
5.0%
4 123
 
3.4%
5 89
 
2.5%
6 82
 
2.3%
7 71
 
2.0%
8 71
 
2.0%
9 80
 
2.2%
ValueCountFrequency (%)
601 1
< 0.1%
566 1
< 0.1%
543 1
< 0.1%
518 1
< 0.1%
438 2
0.1%
409 1
< 0.1%
388 1
< 0.1%
373 1
< 0.1%
372 1
< 0.1%
370 1
< 0.1%

27세남자
Real number (ℝ)

ZEROS 

Distinct263
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.113756
Minimum0
Maximum670
Zeros229
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:10.667140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median19
Q347
95-th percentile140
Maximum670
Range670
Interquartile range (IQR)43

Descriptive statistics

Standard deviation58.501815
Coefficient of variation (CV)1.5349265
Kurtosis19.928696
Mean38.113756
Median Absolute Deviation (MAD)17
Skewness3.7022004
Sum137705
Variance3422.4624
MonotonicityNot monotonic
2024-04-06T17:15:10.984264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 245
 
6.8%
0 229
 
6.3%
2 216
 
6.0%
3 172
 
4.8%
4 125
 
3.5%
5 83
 
2.3%
6 82
 
2.3%
7 68
 
1.9%
9 65
 
1.8%
14 61
 
1.7%
Other values (253) 2267
62.7%
ValueCountFrequency (%)
0 229
6.3%
1 245
6.8%
2 216
6.0%
3 172
4.8%
4 125
3.5%
5 83
 
2.3%
6 82
 
2.3%
7 68
 
1.9%
8 57
 
1.6%
9 65
 
1.8%
ValueCountFrequency (%)
670 1
< 0.1%
637 1
< 0.1%
478 1
< 0.1%
471 1
< 0.1%
455 1
< 0.1%
451 1
< 0.1%
444 1
< 0.1%
442 1
< 0.1%
437 1
< 0.1%
435 1
< 0.1%

28세남자
Real number (ℝ)

ZEROS 

Distinct284
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.774426
Minimum0
Maximum673
Zeros184
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:11.235131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q358
95-th percentile164
Maximum673
Range673
Interquartile range (IQR)54

Descriptive statistics

Standard deviation65.370075
Coefficient of variation (CV)1.4599869
Kurtosis17.197456
Mean44.774426
Median Absolute Deviation (MAD)21
Skewness3.4481136
Sum161770
Variance4273.2467
MonotonicityNot monotonic
2024-04-06T17:15:11.542199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 228
 
6.3%
2 217
 
6.0%
0 184
 
5.1%
3 176
 
4.9%
4 107
 
3.0%
5 106
 
2.9%
6 75
 
2.1%
7 62
 
1.7%
10 57
 
1.6%
20 52
 
1.4%
Other values (274) 2349
65.0%
ValueCountFrequency (%)
0 184
5.1%
1 228
6.3%
2 217
6.0%
3 176
4.9%
4 107
3.0%
5 106
2.9%
6 75
 
2.1%
7 62
 
1.7%
8 34
 
0.9%
9 47
 
1.3%
ValueCountFrequency (%)
673 1
< 0.1%
660 1
< 0.1%
550 1
< 0.1%
538 1
< 0.1%
521 1
< 0.1%
519 1
< 0.1%
508 1
< 0.1%
493 1
< 0.1%
485 1
< 0.1%
476 1
< 0.1%

29세남자
Real number (ℝ)

ZEROS 

Distinct304
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.139496
Minimum0
Maximum655
Zeros191
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:11.800112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median28
Q365
95-th percentile177.4
Maximum655
Range655
Interquartile range (IQR)60

Descriptive statistics

Standard deviation70.277184
Coefficient of variation (CV)1.4016332
Kurtosis14.9136
Mean50.139496
Median Absolute Deviation (MAD)25
Skewness3.203335
Sum181154
Variance4938.8825
MonotonicityNot monotonic
2024-04-06T17:15:12.295686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 221
 
6.1%
2 200
 
5.5%
0 191
 
5.3%
3 167
 
4.6%
5 104
 
2.9%
4 95
 
2.6%
7 75
 
2.1%
6 57
 
1.6%
17 47
 
1.3%
28 46
 
1.3%
Other values (294) 2410
66.7%
ValueCountFrequency (%)
0 191
5.3%
1 221
6.1%
2 200
5.5%
3 167
4.6%
4 95
2.6%
5 104
2.9%
6 57
 
1.6%
7 75
 
2.1%
8 36
 
1.0%
9 42
 
1.2%
ValueCountFrequency (%)
655 1
< 0.1%
620 1
< 0.1%
611 1
< 0.1%
587 1
< 0.1%
578 1
< 0.1%
564 1
< 0.1%
550 1
< 0.1%
543 1
< 0.1%
526 1
< 0.1%
499 1
< 0.1%

30세남자
Real number (ℝ)

ZEROS 

Distinct306
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.928868
Minimum0
Maximum649
Zeros185
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:12.569657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median30
Q371
95-th percentile191
Maximum649
Range649
Interquartile range (IQR)66

Descriptive statistics

Standard deviation73.158812
Coefficient of variation (CV)1.3565798
Kurtosis13.348644
Mean53.928868
Median Absolute Deviation (MAD)27
Skewness3.0102472
Sum194845
Variance5352.2117
MonotonicityNot monotonic
2024-04-06T17:15:12.788967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 200
 
5.5%
2 191
 
5.3%
0 185
 
5.1%
3 156
 
4.3%
4 132
 
3.7%
5 87
 
2.4%
6 74
 
2.0%
7 56
 
1.5%
8 42
 
1.2%
9 42
 
1.2%
Other values (296) 2448
67.8%
ValueCountFrequency (%)
0 185
5.1%
1 200
5.5%
2 191
5.3%
3 156
4.3%
4 132
3.7%
5 87
2.4%
6 74
 
2.0%
7 56
 
1.5%
8 42
 
1.2%
9 42
 
1.2%
ValueCountFrequency (%)
649 1
< 0.1%
637 1
< 0.1%
615 1
< 0.1%
607 1
< 0.1%
606 1
< 0.1%
567 1
< 0.1%
545 1
< 0.1%
543 1
< 0.1%
540 1
< 0.1%
534 1
< 0.1%

31세남자
Real number (ℝ)

ZEROS 

Distinct332
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.195405
Minimum0
Maximum727
Zeros160
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:13.027185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median34
Q381
95-th percentile207
Maximum727
Range727
Interquartile range (IQR)76

Descriptive statistics

Standard deviation78.090834
Coefficient of variation (CV)1.3192043
Kurtosis11.708406
Mean59.195405
Median Absolute Deviation (MAD)31
Skewness2.803468
Sum213873
Variance6098.1783
MonotonicityNot monotonic
2024-04-06T17:15:13.388465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 220
 
6.1%
1 201
 
5.6%
0 160
 
4.4%
3 142
 
3.9%
4 132
 
3.7%
5 93
 
2.6%
6 63
 
1.7%
7 53
 
1.5%
8 47
 
1.3%
12 42
 
1.2%
Other values (322) 2460
68.1%
ValueCountFrequency (%)
0 160
4.4%
1 201
5.6%
2 220
6.1%
3 142
3.9%
4 132
3.7%
5 93
2.6%
6 63
 
1.7%
7 53
 
1.5%
8 47
 
1.3%
9 35
 
1.0%
ValueCountFrequency (%)
727 1
< 0.1%
635 1
< 0.1%
632 1
< 0.1%
630 1
< 0.1%
624 1
< 0.1%
565 1
< 0.1%
561 1
< 0.1%
555 1
< 0.1%
550 1
< 0.1%
543 1
< 0.1%

32세남자
Real number (ℝ)

ZEROS 

Distinct328
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.752007
Minimum0
Maximum706
Zeros159
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:14.314504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median36
Q386
95-th percentile208.4
Maximum706
Range706
Interquartile range (IQR)81

Descriptive statistics

Standard deviation77.639322
Coefficient of variation (CV)1.2779713
Kurtosis9.7405561
Mean60.752007
Median Absolute Deviation (MAD)33
Skewness2.5568364
Sum219497
Variance6027.8643
MonotonicityNot monotonic
2024-04-06T17:15:14.721082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 236
 
6.5%
2 182
 
5.0%
0 159
 
4.4%
3 139
 
3.8%
4 120
 
3.3%
6 82
 
2.3%
5 81
 
2.2%
7 65
 
1.8%
9 48
 
1.3%
8 47
 
1.3%
Other values (318) 2454
67.9%
ValueCountFrequency (%)
0 159
4.4%
1 236
6.5%
2 182
5.0%
3 139
3.8%
4 120
3.3%
5 81
 
2.2%
6 82
 
2.3%
7 65
 
1.8%
8 47
 
1.3%
9 48
 
1.3%
ValueCountFrequency (%)
706 1
< 0.1%
622 1
< 0.1%
594 1
< 0.1%
583 1
< 0.1%
554 1
< 0.1%
550 2
0.1%
538 1
< 0.1%
530 1
< 0.1%
526 1
< 0.1%
510 2
0.1%

33세남자
Real number (ℝ)

ZEROS 

Distinct316
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.904511
Minimum0
Maximum620
Zeros190
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:15.051911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median34
Q382
95-th percentile198
Maximum620
Range620
Interquartile range (IQR)77

Descriptive statistics

Standard deviation73.004505
Coefficient of variation (CV)1.2607741
Kurtosis9.2823629
Mean57.904511
Median Absolute Deviation (MAD)31
Skewness2.4639329
Sum209209
Variance5329.6578
MonotonicityNot monotonic
2024-04-06T17:15:15.338143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 216
 
6.0%
2 197
 
5.5%
0 190
 
5.3%
3 150
 
4.2%
4 121
 
3.3%
5 90
 
2.5%
6 73
 
2.0%
7 55
 
1.5%
8 47
 
1.3%
10 42
 
1.2%
Other values (306) 2432
67.3%
ValueCountFrequency (%)
0 190
5.3%
1 216
6.0%
2 197
5.5%
3 150
4.2%
4 121
3.3%
5 90
2.5%
6 73
 
2.0%
7 55
 
1.5%
8 47
 
1.3%
9 29
 
0.8%
ValueCountFrequency (%)
620 1
< 0.1%
608 1
< 0.1%
601 1
< 0.1%
587 1
< 0.1%
569 1
< 0.1%
556 1
< 0.1%
537 1
< 0.1%
505 1
< 0.1%
486 1
< 0.1%
459 1
< 0.1%

34세남자
Real number (ℝ)

ZEROS 

Distinct312
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.561583
Minimum0
Maximum656
Zeros160
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:15.635264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median35
Q386
95-th percentile201
Maximum656
Range656
Interquartile range (IQR)81

Descriptive statistics

Standard deviation74.86661
Coefficient of variation (CV)1.2569614
Kurtosis9.5419435
Mean59.561583
Median Absolute Deviation (MAD)32
Skewness2.4728352
Sum215196
Variance5605.0093
MonotonicityNot monotonic
2024-04-06T17:15:15.885697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 230
 
6.4%
2 181
 
5.0%
0 160
 
4.4%
3 158
 
4.4%
4 139
 
3.8%
5 91
 
2.5%
6 81
 
2.2%
7 52
 
1.4%
8 51
 
1.4%
9 37
 
1.0%
Other values (302) 2433
67.3%
ValueCountFrequency (%)
0 160
4.4%
1 230
6.4%
2 181
5.0%
3 158
4.4%
4 139
3.8%
5 91
 
2.5%
6 81
 
2.2%
7 52
 
1.4%
8 51
 
1.4%
9 37
 
1.0%
ValueCountFrequency (%)
656 1
< 0.1%
631 1
< 0.1%
615 1
< 0.1%
607 1
< 0.1%
588 1
< 0.1%
583 1
< 0.1%
551 1
< 0.1%
539 1
< 0.1%
531 1
< 0.1%
514 1
< 0.1%

35세남자
Real number (ℝ)

ZEROS 

Distinct320
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.036258
Minimum0
Maximum673
Zeros151
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:16.215887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median35
Q386
95-th percentile206.4
Maximum673
Range673
Interquartile range (IQR)81

Descriptive statistics

Standard deviation75.675087
Coefficient of variation (CV)1.2604897
Kurtosis9.6936985
Mean60.036258
Median Absolute Deviation (MAD)32
Skewness2.4846331
Sum216911
Variance5726.7188
MonotonicityNot monotonic
2024-04-06T17:15:16.533334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 222
 
6.1%
2 199
 
5.5%
3 154
 
4.3%
0 151
 
4.2%
4 135
 
3.7%
5 101
 
2.8%
6 71
 
2.0%
7 55
 
1.5%
9 44
 
1.2%
11 39
 
1.1%
Other values (310) 2442
67.6%
ValueCountFrequency (%)
0 151
4.2%
1 222
6.1%
2 199
5.5%
3 154
4.3%
4 135
3.7%
5 101
2.8%
6 71
 
2.0%
7 55
 
1.5%
8 36
 
1.0%
9 44
 
1.2%
ValueCountFrequency (%)
673 1
< 0.1%
628 1
< 0.1%
625 1
< 0.1%
623 1
< 0.1%
599 1
< 0.1%
596 1
< 0.1%
570 1
< 0.1%
560 1
< 0.1%
537 1
< 0.1%
493 1
< 0.1%

36세남자
Real number (ℝ)

ZEROS 

Distinct320
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.23194
Minimum0
Maximum682
Zeros147
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:16.787284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median35
Q386
95-th percentile209
Maximum682
Range682
Interquartile range (IQR)81

Descriptive statistics

Standard deviation76.200484
Coefficient of variation (CV)1.2651175
Kurtosis10.357496
Mean60.23194
Median Absolute Deviation (MAD)32
Skewness2.5506594
Sum217618
Variance5806.5137
MonotonicityNot monotonic
2024-04-06T17:15:17.130582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 200
 
5.5%
2 186
 
5.1%
3 163
 
4.5%
0 147
 
4.1%
4 124
 
3.4%
5 117
 
3.2%
6 70
 
1.9%
8 64
 
1.8%
7 53
 
1.5%
9 40
 
1.1%
Other values (310) 2449
67.8%
ValueCountFrequency (%)
0 147
4.1%
1 200
5.5%
2 186
5.1%
3 163
4.5%
4 124
3.4%
5 117
3.2%
6 70
 
1.9%
7 53
 
1.5%
8 64
 
1.8%
9 40
 
1.1%
ValueCountFrequency (%)
682 2
0.1%
668 1
< 0.1%
602 1
< 0.1%
601 1
< 0.1%
592 1
< 0.1%
586 1
< 0.1%
583 1
< 0.1%
544 1
< 0.1%
494 1
< 0.1%
473 1
< 0.1%

37세남자
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.838085
Minimum0
Maximum795
Zeros120
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:17.407609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median36
Q388
95-th percentile208
Maximum795
Range795
Interquartile range (IQR)82

Descriptive statistics

Standard deviation78.565827
Coefficient of variation (CV)1.2705087
Kurtosis12.168692
Mean61.838085
Median Absolute Deviation (MAD)33
Skewness2.6956066
Sum223421
Variance6172.5892
MonotonicityNot monotonic
2024-04-06T17:15:17.705541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 220
 
6.1%
2 167
 
4.6%
3 164
 
4.5%
4 138
 
3.8%
0 120
 
3.3%
5 93
 
2.6%
6 79
 
2.2%
7 76
 
2.1%
10 49
 
1.4%
8 44
 
1.2%
Other values (319) 2463
68.2%
ValueCountFrequency (%)
0 120
3.3%
1 220
6.1%
2 167
4.6%
3 164
4.5%
4 138
3.8%
5 93
2.6%
6 79
 
2.2%
7 76
 
2.1%
8 44
 
1.2%
9 37
 
1.0%
ValueCountFrequency (%)
795 1
< 0.1%
746 1
< 0.1%
695 1
< 0.1%
658 1
< 0.1%
641 1
< 0.1%
634 1
< 0.1%
625 1
< 0.1%
613 1
< 0.1%
584 1
< 0.1%
516 1
< 0.1%

38세남자
Real number (ℝ)

ZEROS 

Distinct343
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.769444
Minimum0
Maximum801
Zeros99
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:18.026168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median39
Q394
95-th percentile226
Maximum801
Range801
Interquartile range (IQR)88

Descriptive statistics

Standard deviation82.607474
Coefficient of variation (CV)1.256016
Kurtosis10.4582
Mean65.769444
Median Absolute Deviation (MAD)36
Skewness2.5473468
Sum237625
Variance6823.9947
MonotonicityNot monotonic
2024-04-06T17:15:18.446857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 183
 
5.1%
1 172
 
4.8%
3 163
 
4.5%
4 154
 
4.3%
5 104
 
2.9%
0 99
 
2.7%
6 76
 
2.1%
7 66
 
1.8%
8 53
 
1.5%
9 52
 
1.4%
Other values (333) 2491
68.9%
ValueCountFrequency (%)
0 99
2.7%
1 172
4.8%
2 183
5.1%
3 163
4.5%
4 154
4.3%
5 104
2.9%
6 76
2.1%
7 66
 
1.8%
8 53
 
1.5%
9 52
 
1.4%
ValueCountFrequency (%)
801 1
< 0.1%
785 1
< 0.1%
711 1
< 0.1%
651 1
< 0.1%
631 1
< 0.1%
619 1
< 0.1%
605 1
< 0.1%
602 1
< 0.1%
531 1
< 0.1%
530 1
< 0.1%

39세남자
Real number (ℝ)

ZEROS 

Distinct341
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.690285
Minimum0
Maximum808
Zeros106
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:18.814434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median39
Q397
95-th percentile226
Maximum808
Range808
Interquartile range (IQR)91

Descriptive statistics

Standard deviation83.541345
Coefficient of variation (CV)1.2526764
Kurtosis10.395177
Mean66.690285
Median Absolute Deviation (MAD)35
Skewness2.5507003
Sum240952
Variance6979.1563
MonotonicityNot monotonic
2024-04-06T17:15:19.182842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 175
 
4.8%
1 160
 
4.4%
3 147
 
4.1%
4 130
 
3.6%
0 106
 
2.9%
5 95
 
2.6%
6 91
 
2.5%
7 81
 
2.2%
8 54
 
1.5%
9 46
 
1.3%
Other values (331) 2528
70.0%
ValueCountFrequency (%)
0 106
2.9%
1 160
4.4%
2 175
4.8%
3 147
4.1%
4 130
3.6%
5 95
2.6%
6 91
2.5%
7 81
2.2%
8 54
 
1.5%
9 46
 
1.3%
ValueCountFrequency (%)
808 1
< 0.1%
743 1
< 0.1%
680 1
< 0.1%
679 1
< 0.1%
657 1
< 0.1%
637 1
< 0.1%
634 1
< 0.1%
630 1
< 0.1%
594 1
< 0.1%
582 1
< 0.1%

40세남자
Real number (ℝ)

ZEROS 

Distinct379
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.529754
Minimum0
Maximum959
Zeros63
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:19.562999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median44
Q3108
95-th percentile254
Maximum959
Range959
Interquartile range (IQR)100

Descriptive statistics

Standard deviation94.471342
Coefficient of variation (CV)1.2507831
Kurtosis11.268792
Mean75.529754
Median Absolute Deviation (MAD)40
Skewness2.6253979
Sum272889
Variance8924.8345
MonotonicityNot monotonic
2024-04-06T17:15:20.172287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 152
 
4.2%
1 148
 
4.1%
4 124
 
3.4%
3 121
 
3.3%
5 107
 
3.0%
6 95
 
2.6%
7 87
 
2.4%
0 63
 
1.7%
8 60
 
1.7%
10 51
 
1.4%
Other values (369) 2605
72.1%
ValueCountFrequency (%)
0 63
1.7%
1 148
4.1%
2 152
4.2%
3 121
3.3%
4 124
3.4%
5 107
3.0%
6 95
2.6%
7 87
2.4%
8 60
 
1.7%
9 50
 
1.4%
ValueCountFrequency (%)
959 1
< 0.1%
870 1
< 0.1%
792 1
< 0.1%
780 1
< 0.1%
757 1
< 0.1%
737 1
< 0.1%
726 1
< 0.1%
713 1
< 0.1%
670 1
< 0.1%
632 1
< 0.1%

41세남자
Real number (ℝ)

ZEROS 

Distinct408
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.031553
Minimum0
Maximum1073
Zeros59
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:20.529150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median50
Q3120
95-th percentile289
Maximum1073
Range1073
Interquartile range (IQR)111

Descriptive statistics

Standard deviation105.05618
Coefficient of variation (CV)1.2501992
Kurtosis11.409236
Mean84.031553
Median Absolute Deviation (MAD)45
Skewness2.6566287
Sum303606
Variance11036.801
MonotonicityNot monotonic
2024-04-06T17:15:20.820143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 144
 
4.0%
5 132
 
3.7%
4 124
 
3.4%
2 117
 
3.2%
6 94
 
2.6%
1 86
 
2.4%
7 63
 
1.7%
9 63
 
1.7%
0 59
 
1.6%
8 56
 
1.5%
Other values (398) 2675
74.0%
ValueCountFrequency (%)
0 59
1.6%
1 86
2.4%
2 117
3.2%
3 144
4.0%
4 124
3.4%
5 132
3.7%
6 94
2.6%
7 63
1.7%
8 56
 
1.5%
9 63
1.7%
ValueCountFrequency (%)
1073 1
< 0.1%
922 1
< 0.1%
921 1
< 0.1%
872 1
< 0.1%
836 1
< 0.1%
815 1
< 0.1%
796 1
< 0.1%
766 1
< 0.1%
764 1
< 0.1%
759 1
< 0.1%

42세남자
Real number (ℝ)

ZEROS 

Distinct425
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.598118
Minimum0
Maximum1114
Zeros45
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:21.132996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median54
Q3127
95-th percentile302
Maximum1114
Range1114
Interquartile range (IQR)117

Descriptive statistics

Standard deviation109.46909
Coefficient of variation (CV)1.235569
Kurtosis11.25306
Mean88.598118
Median Absolute Deviation (MAD)48
Skewness2.6166249
Sum320105
Variance11983.482
MonotonicityNot monotonic
2024-04-06T17:15:21.487555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 123
 
3.4%
2 122
 
3.4%
3 119
 
3.3%
5 104
 
2.9%
6 99
 
2.7%
7 85
 
2.4%
1 76
 
2.1%
8 69
 
1.9%
9 57
 
1.6%
10 54
 
1.5%
Other values (415) 2705
74.9%
ValueCountFrequency (%)
0 45
 
1.2%
1 76
2.1%
2 122
3.4%
3 119
3.3%
4 123
3.4%
5 104
2.9%
6 99
2.7%
7 85
2.4%
8 69
1.9%
9 57
1.6%
ValueCountFrequency (%)
1114 1
< 0.1%
1048 1
< 0.1%
958 1
< 0.1%
864 1
< 0.1%
853 1
< 0.1%
845 1
< 0.1%
826 1
< 0.1%
766 1
< 0.1%
765 1
< 0.1%
743 1
< 0.1%

43세남자
Real number (ℝ)

ZEROS 

Distinct420
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.218932
Minimum0
Maximum1118
Zeros49
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:21.763572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median54
Q3126
95-th percentile293
Maximum1118
Range1118
Interquartile range (IQR)116

Descriptive statistics

Standard deviation108.09709
Coefficient of variation (CV)1.2253275
Kurtosis10.733599
Mean88.218932
Median Absolute Deviation (MAD)48
Skewness2.5680337
Sum318735
Variance11684.98
MonotonicityNot monotonic
2024-04-06T17:15:22.111300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 129
 
3.6%
4 107
 
3.0%
5 105
 
2.9%
2 104
 
2.9%
7 94
 
2.6%
6 88
 
2.4%
1 81
 
2.2%
8 69
 
1.9%
9 60
 
1.7%
0 49
 
1.4%
Other values (410) 2727
75.5%
ValueCountFrequency (%)
0 49
 
1.4%
1 81
2.2%
2 104
2.9%
3 129
3.6%
4 107
3.0%
5 105
2.9%
6 88
2.4%
7 94
2.6%
8 69
1.9%
9 60
1.7%
ValueCountFrequency (%)
1118 1
< 0.1%
960 1
< 0.1%
926 1
< 0.1%
849 1
< 0.1%
838 1
< 0.1%
826 1
< 0.1%
803 1
< 0.1%
777 1
< 0.1%
737 1
< 0.1%
705 1
< 0.1%

44세남자
Real number (ℝ)

Distinct415
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.924716
Minimum0
Maximum1083
Zeros34
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:23.015470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median55
Q3129
95-th percentile297.4
Maximum1083
Range1083
Interquartile range (IQR)118

Descriptive statistics

Standard deviation107.14809
Coefficient of variation (CV)1.2049303
Kurtosis10.214871
Mean88.924716
Median Absolute Deviation (MAD)48
Skewness2.4951571
Sum321285
Variance11480.713
MonotonicityNot monotonic
2024-04-06T17:15:23.388629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 120
 
3.3%
3 119
 
3.3%
7 97
 
2.7%
5 94
 
2.6%
2 93
 
2.6%
6 88
 
2.4%
8 74
 
2.0%
1 69
 
1.9%
10 56
 
1.5%
9 54
 
1.5%
Other values (405) 2749
76.1%
ValueCountFrequency (%)
0 34
 
0.9%
1 69
1.9%
2 93
2.6%
3 119
3.3%
4 120
3.3%
5 94
2.6%
6 88
2.4%
7 97
2.7%
8 74
2.0%
9 54
1.5%
ValueCountFrequency (%)
1083 1
< 0.1%
967 1
< 0.1%
935 1
< 0.1%
893 1
< 0.1%
817 1
< 0.1%
807 1
< 0.1%
796 1
< 0.1%
742 1
< 0.1%
669 1
< 0.1%
666 1
< 0.1%

45세남자
Real number (ℝ)

Distinct382
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.053972
Minimum0
Maximum946
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:23.839264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median50
Q3116
95-th percentile262
Maximum946
Range946
Interquartile range (IQR)106

Descriptive statistics

Standard deviation94.152068
Coefficient of variation (CV)1.1761074
Kurtosis9.6654062
Mean80.053972
Median Absolute Deviation (MAD)43
Skewness2.4127653
Sum289235
Variance8864.612
MonotonicityNot monotonic
2024-04-06T17:15:24.114046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 116
 
3.2%
4 108
 
3.0%
6 107
 
3.0%
5 100
 
2.8%
2 93
 
2.6%
8 86
 
2.4%
7 79
 
2.2%
9 68
 
1.9%
1 66
 
1.8%
10 66
 
1.8%
Other values (372) 2724
75.4%
ValueCountFrequency (%)
0 26
 
0.7%
1 66
1.8%
2 93
2.6%
3 116
3.2%
4 108
3.0%
5 100
2.8%
6 107
3.0%
7 79
2.2%
8 86
2.4%
9 68
1.9%
ValueCountFrequency (%)
946 1
< 0.1%
818 1
< 0.1%
794 1
< 0.1%
771 1
< 0.1%
730 1
< 0.1%
727 1
< 0.1%
724 1
< 0.1%
653 1
< 0.1%
647 1
< 0.1%
580 1
< 0.1%

46세남자
Real number (ℝ)

Distinct384
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.376418
Minimum0
Maximum984
Zeros28
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:24.413501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median52
Q3119
95-th percentile272
Maximum984
Range984
Interquartile range (IQR)107

Descriptive statistics

Standard deviation95.606003
Coefficient of variation (CV)1.1605992
Kurtosis9.4719634
Mean82.376418
Median Absolute Deviation (MAD)44
Skewness2.3710018
Sum297626
Variance9140.5078
MonotonicityNot monotonic
2024-04-06T17:15:24.705394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 108
 
3.0%
5 106
 
2.9%
7 97
 
2.7%
4 92
 
2.5%
6 87
 
2.4%
10 77
 
2.1%
8 71
 
2.0%
2 68
 
1.9%
9 64
 
1.8%
11 58
 
1.6%
Other values (374) 2785
77.1%
ValueCountFrequency (%)
0 28
 
0.8%
1 45
1.2%
2 68
1.9%
3 108
3.0%
4 92
2.5%
5 106
2.9%
6 87
2.4%
7 97
2.7%
8 71
2.0%
9 64
1.8%
ValueCountFrequency (%)
984 1
< 0.1%
830 1
< 0.1%
827 1
< 0.1%
801 1
< 0.1%
719 1
< 0.1%
703 1
< 0.1%
692 1
< 0.1%
642 1
< 0.1%
637 1
< 0.1%
621 1
< 0.1%

47세남자
Real number (ℝ)

Distinct384
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.138389
Minimum0
Maximum816
Zeros18
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:25.010276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median53
Q3120
95-th percentile264.4
Maximum816
Range816
Interquartile range (IQR)108

Descriptive statistics

Standard deviation92.536184
Coefficient of variation (CV)1.1265887
Kurtosis7.5481896
Mean82.138389
Median Absolute Deviation (MAD)45
Skewness2.1703061
Sum296766
Variance8562.9454
MonotonicityNot monotonic
2024-04-06T17:15:25.343239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 98
 
2.7%
5 92
 
2.5%
7 89
 
2.5%
4 87
 
2.4%
8 84
 
2.3%
9 79
 
2.2%
3 77
 
2.1%
10 70
 
1.9%
11 67
 
1.9%
2 66
 
1.8%
Other values (374) 2804
77.6%
ValueCountFrequency (%)
0 18
 
0.5%
1 40
1.1%
2 66
1.8%
3 77
2.1%
4 87
2.4%
5 92
2.5%
6 98
2.7%
7 89
2.5%
8 84
2.3%
9 79
2.2%
ValueCountFrequency (%)
816 1
< 0.1%
778 1
< 0.1%
772 1
< 0.1%
726 1
< 0.1%
705 1
< 0.1%
679 1
< 0.1%
665 1
< 0.1%
650 1
< 0.1%
618 1
< 0.1%
595 1
< 0.1%

48세남자
Real number (ℝ)

Distinct385
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.084417
Minimum0
Maximum837
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:25.666118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q114
median57
Q3126
95-th percentile272
Maximum837
Range837
Interquartile range (IQR)112

Descriptive statistics

Standard deviation94.558696
Coefficient of variation (CV)1.0984415
Kurtosis7.1836178
Mean86.084417
Median Absolute Deviation (MAD)47
Skewness2.0962438
Sum311023
Variance8941.347
MonotonicityNot monotonic
2024-04-06T17:15:26.017111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 91
 
2.5%
8 89
 
2.5%
7 88
 
2.4%
5 82
 
2.3%
9 71
 
2.0%
12 71
 
2.0%
10 70
 
1.9%
6 68
 
1.9%
3 63
 
1.7%
11 59
 
1.6%
Other values (375) 2861
79.2%
ValueCountFrequency (%)
0 12
 
0.3%
1 32
 
0.9%
2 44
1.2%
3 63
1.7%
4 91
2.5%
5 82
2.3%
6 68
1.9%
7 88
2.4%
8 89
2.5%
9 71
2.0%
ValueCountFrequency (%)
837 1
< 0.1%
804 1
< 0.1%
740 1
< 0.1%
738 1
< 0.1%
730 1
< 0.1%
699 1
< 0.1%
697 1
< 0.1%
694 1
< 0.1%
633 1
< 0.1%
592 1
< 0.1%

49세남자
Real number (ℝ)

Distinct403
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.22253
Minimum0
Maximum909
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:26.264515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median63
Q3137
95-th percentile285.4
Maximum909
Range909
Interquartile range (IQR)121

Descriptive statistics

Standard deviation99.367146
Coefficient of variation (CV)1.0659134
Kurtosis6.32261
Mean93.22253
Median Absolute Deviation (MAD)51
Skewness1.9788762
Sum336813
Variance9873.8298
MonotonicityNot monotonic
2024-04-06T17:15:26.492734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 87
 
2.4%
9 78
 
2.2%
8 71
 
2.0%
10 69
 
1.9%
12 67
 
1.9%
5 66
 
1.8%
4 64
 
1.8%
11 59
 
1.6%
6 58
 
1.6%
3 53
 
1.5%
Other values (393) 2941
81.4%
ValueCountFrequency (%)
0 9
 
0.2%
1 18
 
0.5%
2 34
 
0.9%
3 53
1.5%
4 64
1.8%
5 66
1.8%
6 58
1.6%
7 87
2.4%
8 71
2.0%
9 78
2.2%
ValueCountFrequency (%)
909 1
< 0.1%
795 1
< 0.1%
743 1
< 0.1%
738 1
< 0.1%
724 1
< 0.1%
705 1
< 0.1%
695 1
< 0.1%
671 1
< 0.1%
667 1
< 0.1%
640 1
< 0.1%

50세남자
Real number (ℝ)

Distinct409
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.508165
Minimum0
Maximum865
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:26.765504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q118
median68
Q3146
95-th percentile290.4
Maximum865
Range865
Interquartile range (IQR)128

Descriptive statistics

Standard deviation102.15104
Coefficient of variation (CV)1.0369804
Kurtosis5.8409228
Mean98.508165
Median Absolute Deviation (MAD)54
Skewness1.9023208
Sum355910
Variance10434.834
MonotonicityNot monotonic
2024-04-06T17:15:26.986450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 71
 
2.0%
6 64
 
1.8%
8 64
 
1.8%
13 63
 
1.7%
5 63
 
1.7%
4 60
 
1.7%
7 55
 
1.5%
11 54
 
1.5%
10 54
 
1.5%
14 54
 
1.5%
Other values (399) 3011
83.3%
ValueCountFrequency (%)
0 10
 
0.3%
1 17
 
0.5%
2 26
0.7%
3 25
 
0.7%
4 60
1.7%
5 63
1.7%
6 64
1.8%
7 55
1.5%
8 64
1.8%
9 50
1.4%
ValueCountFrequency (%)
865 1
< 0.1%
824 1
< 0.1%
781 1
< 0.1%
762 1
< 0.1%
724 1
< 0.1%
723 1
< 0.1%
707 1
< 0.1%
698 1
< 0.1%
691 1
< 0.1%
646 1
< 0.1%

51세남자
Real number (ℝ)

Distinct414
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.56712
Minimum0
Maximum912
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:27.201169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q119
median69
Q3149
95-th percentile292
Maximum912
Range912
Interquartile range (IQR)130

Descriptive statistics

Standard deviation102.13482
Coefficient of variation (CV)1.0155887
Kurtosis5.8180783
Mean100.56712
Median Absolute Deviation (MAD)55
Skewness1.855756
Sum363349
Variance10431.522
MonotonicityNot monotonic
2024-04-06T17:15:27.425177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 72
 
2.0%
9 68
 
1.9%
10 67
 
1.9%
12 66
 
1.8%
7 59
 
1.6%
14 57
 
1.6%
11 55
 
1.5%
13 51
 
1.4%
6 50
 
1.4%
19 49
 
1.4%
Other values (404) 3019
83.6%
ValueCountFrequency (%)
0 7
 
0.2%
1 16
 
0.4%
2 18
 
0.5%
3 22
 
0.6%
4 39
1.1%
5 44
1.2%
6 50
1.4%
7 59
1.6%
8 72
2.0%
9 68
1.9%
ValueCountFrequency (%)
912 1
< 0.1%
851 1
< 0.1%
810 1
< 0.1%
773 1
< 0.1%
739 1
< 0.1%
703 1
< 0.1%
679 1
< 0.1%
676 1
< 0.1%
654 1
< 0.1%
616 1
< 0.1%

52세남자
Real number (ℝ)

Distinct421
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.76889
Minimum0
Maximum801
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:27.655265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q122
median76
Q3159
95-th percentile303
Maximum801
Range801
Interquartile range (IQR)137

Descriptive statistics

Standard deviation104.79754
Coefficient of variation (CV)0.9908163
Kurtosis4.5976988
Mean105.76889
Median Absolute Deviation (MAD)60
Skewness1.7188747
Sum382143
Variance10982.524
MonotonicityNot monotonic
2024-04-06T17:15:27.882721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 62
 
1.7%
13 59
 
1.6%
9 57
 
1.6%
14 54
 
1.5%
10 54
 
1.5%
12 52
 
1.4%
11 51
 
1.4%
17 50
 
1.4%
16 50
 
1.4%
8 49
 
1.4%
Other values (411) 3075
85.1%
ValueCountFrequency (%)
0 6
 
0.2%
1 10
 
0.3%
2 18
 
0.5%
3 20
 
0.6%
4 29
0.8%
5 27
0.7%
6 46
1.3%
7 62
1.7%
8 49
1.4%
9 57
1.6%
ValueCountFrequency (%)
801 1
< 0.1%
791 1
< 0.1%
766 1
< 0.1%
758 1
< 0.1%
718 1
< 0.1%
697 1
< 0.1%
694 1
< 0.1%
683 1
< 0.1%
675 1
< 0.1%
647 1
< 0.1%

53세남자
Real number (ℝ)

Distinct421
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.90617
Minimum0
Maximum802
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:28.145810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q123
median77
Q3159
95-th percentile300.4
Maximum802
Range802
Interquartile range (IQR)136

Descriptive statistics

Standard deviation103.78286
Coefficient of variation (CV)0.97078454
Kurtosis4.4266796
Mean106.90617
Median Absolute Deviation (MAD)59
Skewness1.6862424
Sum386252
Variance10770.882
MonotonicityNot monotonic
2024-04-06T17:15:28.473109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 81
 
2.2%
15 59
 
1.6%
11 58
 
1.6%
12 55
 
1.5%
14 55
 
1.5%
9 52
 
1.4%
19 45
 
1.2%
16 45
 
1.2%
18 43
 
1.2%
10 43
 
1.2%
Other values (411) 3077
85.2%
ValueCountFrequency (%)
0 5
 
0.1%
1 4
 
0.1%
2 15
 
0.4%
3 14
 
0.4%
4 22
0.6%
5 35
1.0%
6 27
0.7%
7 34
0.9%
8 42
1.2%
9 52
1.4%
ValueCountFrequency (%)
802 1
< 0.1%
788 1
< 0.1%
765 1
< 0.1%
748 1
< 0.1%
721 1
< 0.1%
677 1
< 0.1%
673 1
< 0.1%
668 1
< 0.1%
641 1
< 0.1%
640 1
< 0.1%

54세남자
Real number (ℝ)

Distinct403
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.40299
Minimum0
Maximum801
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:28.701402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q124
median79
Q3155
95-th percentile287
Maximum801
Range801
Interquartile range (IQR)131

Descriptive statistics

Standard deviation98.411772
Coefficient of variation (CV)0.94261451
Kurtosis4.3148572
Mean104.40299
Median Absolute Deviation (MAD)59
Skewness1.6360949
Sum377208
Variance9684.8769
MonotonicityNot monotonic
2024-04-06T17:15:28.944871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 57
 
1.6%
12 53
 
1.5%
14 53
 
1.5%
10 53
 
1.5%
22 50
 
1.4%
16 49
 
1.4%
15 48
 
1.3%
8 48
 
1.3%
27 47
 
1.3%
18 46
 
1.3%
Other values (393) 3109
86.1%
ValueCountFrequency (%)
0 6
 
0.2%
1 6
 
0.2%
2 10
 
0.3%
3 9
 
0.2%
4 13
 
0.4%
5 25
0.7%
6 26
0.7%
7 36
1.0%
8 48
1.3%
9 40
1.1%
ValueCountFrequency (%)
801 1
< 0.1%
781 1
< 0.1%
744 1
< 0.1%
698 1
< 0.1%
677 1
< 0.1%
667 1
< 0.1%
636 1
< 0.1%
608 1
< 0.1%
588 1
< 0.1%
587 1
< 0.1%

55세남자
Real number (ℝ)

Distinct405
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.38777
Minimum0
Maximum772
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:29.233902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q127
median83
Q3159
95-th percentile290.4
Maximum772
Range772
Interquartile range (IQR)132

Descriptive statistics

Standard deviation98.560767
Coefficient of variation (CV)0.91780256
Kurtosis4.1479155
Mean107.38777
Median Absolute Deviation (MAD)60
Skewness1.6032433
Sum387992
Variance9714.2247
MonotonicityNot monotonic
2024-04-06T17:15:29.504417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 54
 
1.5%
14 52
 
1.4%
15 51
 
1.4%
18 49
 
1.4%
19 48
 
1.3%
17 47
 
1.3%
27 46
 
1.3%
11 43
 
1.2%
9 42
 
1.2%
13 42
 
1.2%
Other values (395) 3139
86.9%
ValueCountFrequency (%)
0 4
 
0.1%
1 9
 
0.2%
2 8
 
0.2%
3 10
 
0.3%
4 9
 
0.2%
5 19
0.5%
6 15
 
0.4%
7 25
0.7%
8 25
0.7%
9 42
1.2%
ValueCountFrequency (%)
772 1
< 0.1%
750 1
< 0.1%
737 1
< 0.1%
735 1
< 0.1%
710 1
< 0.1%
676 1
< 0.1%
667 1
< 0.1%
627 1
< 0.1%
618 1
< 0.1%
583 1
< 0.1%

56세남자
Real number (ℝ)

Distinct370
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.147246
Minimum0
Maximum726
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:29.745452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q127
median76
Q3145
95-th percentile263
Maximum726
Range726
Interquartile range (IQR)118

Descriptive statistics

Standard deviation88.155728
Coefficient of variation (CV)0.89819869
Kurtosis4.4601218
Mean98.147246
Median Absolute Deviation (MAD)54
Skewness1.6165314
Sum354606
Variance7771.4324
MonotonicityNot monotonic
2024-04-06T17:15:30.020334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 60
 
1.7%
17 56
 
1.5%
14 55
 
1.5%
20 51
 
1.4%
15 49
 
1.4%
13 49
 
1.4%
16 48
 
1.3%
11 43
 
1.2%
24 43
 
1.2%
22 42
 
1.2%
Other values (360) 3117
86.3%
ValueCountFrequency (%)
0 7
 
0.2%
1 9
 
0.2%
2 3
 
0.1%
3 11
 
0.3%
4 12
 
0.3%
5 14
0.4%
6 20
0.6%
7 26
0.7%
8 17
0.5%
9 34
0.9%
ValueCountFrequency (%)
726 1
< 0.1%
700 1
< 0.1%
698 1
< 0.1%
686 1
< 0.1%
678 1
< 0.1%
624 1
< 0.1%
560 1
< 0.1%
550 1
< 0.1%
521 1
< 0.1%
508 1
< 0.1%

57세남자
Real number (ℝ)

Distinct367
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.299751
Minimum0
Maximum692
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:30.799445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q129
median75
Q3144
95-th percentile261
Maximum692
Range692
Interquartile range (IQR)115

Descriptive statistics

Standard deviation86.483056
Coefficient of variation (CV)0.87978917
Kurtosis4.4149336
Mean98.299751
Median Absolute Deviation (MAD)52
Skewness1.6138094
Sum355157
Variance7479.319
MonotonicityNot monotonic
2024-04-06T17:15:31.149475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 58
 
1.6%
17 52
 
1.4%
24 51
 
1.4%
19 51
 
1.4%
14 51
 
1.4%
28 45
 
1.2%
13 45
 
1.2%
18 44
 
1.2%
29 42
 
1.2%
21 42
 
1.2%
Other values (357) 3132
86.7%
ValueCountFrequency (%)
0 3
 
0.1%
1 8
 
0.2%
2 7
 
0.2%
3 6
 
0.2%
4 9
 
0.2%
5 8
 
0.2%
6 27
0.7%
7 15
0.4%
8 25
0.7%
9 27
0.7%
ValueCountFrequency (%)
692 1
< 0.1%
685 1
< 0.1%
680 1
< 0.1%
679 1
< 0.1%
644 1
< 0.1%
616 1
< 0.1%
609 1
< 0.1%
538 1
< 0.1%
522 1
< 0.1%
494 1
< 0.1%

58세남자
Real number (ℝ)

Distinct359
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.832272
Minimum0
Maximum706
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:31.597979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q131
median78
Q3146
95-th percentile263.4
Maximum706
Range706
Interquartile range (IQR)115

Descriptive statistics

Standard deviation85.927466
Coefficient of variation (CV)0.86071832
Kurtosis4.1638076
Mean99.832272
Median Absolute Deviation (MAD)52
Skewness1.5780296
Sum360694
Variance7383.5294
MonotonicityNot monotonic
2024-04-06T17:15:31.925771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 50
 
1.4%
20 49
 
1.4%
14 47
 
1.3%
23 45
 
1.2%
28 44
 
1.2%
24 42
 
1.2%
18 41
 
1.1%
26 40
 
1.1%
17 40
 
1.1%
12 40
 
1.1%
Other values (349) 3175
87.9%
ValueCountFrequency (%)
0 5
 
0.1%
1 10
 
0.3%
3 6
 
0.2%
4 7
 
0.2%
5 12
0.3%
6 13
0.4%
7 17
0.5%
8 20
0.6%
9 25
0.7%
10 15
0.4%
ValueCountFrequency (%)
706 1
< 0.1%
681 1
< 0.1%
679 1
< 0.1%
660 1
< 0.1%
605 1
< 0.1%
601 1
< 0.1%
554 1
< 0.1%
541 1
< 0.1%
512 1
< 0.1%
506 1
< 0.1%

59세남자
Real number (ℝ)

Distinct363
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.53612
Minimum1
Maximum683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:32.189384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q132
median79
Q3144
95-th percentile260.4
Maximum683
Range682
Interquartile range (IQR)112

Descriptive statistics

Standard deviation83.824407
Coefficient of variation (CV)0.84215064
Kurtosis3.6710104
Mean99.53612
Median Absolute Deviation (MAD)52
Skewness1.4991137
Sum359624
Variance7026.5312
MonotonicityNot monotonic
2024-04-06T17:15:32.448769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 60
 
1.7%
26 46
 
1.3%
15 45
 
1.2%
20 42
 
1.2%
23 40
 
1.1%
18 40
 
1.1%
16 40
 
1.1%
31 37
 
1.0%
22 37
 
1.0%
29 37
 
1.0%
Other values (353) 3189
88.3%
ValueCountFrequency (%)
1 5
 
0.1%
2 9
0.2%
3 7
 
0.2%
4 10
0.3%
5 12
0.3%
6 11
0.3%
7 6
 
0.2%
8 17
0.5%
9 18
0.5%
10 17
0.5%
ValueCountFrequency (%)
683 1
< 0.1%
670 1
< 0.1%
653 1
< 0.1%
633 1
< 0.1%
581 1
< 0.1%
528 1
< 0.1%
504 1
< 0.1%
486 1
< 0.1%
480 1
< 0.1%
479 1
< 0.1%

60세남자
Real number (ℝ)

Distinct332
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.388043
Minimum0
Maximum641
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:32.725668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q130
median72
Q3134
95-th percentile235
Maximum641
Range641
Interquartile range (IQR)104

Descriptive statistics

Standard deviation75.477351
Coefficient of variation (CV)0.82589963
Kurtosis3.1965794
Mean91.388043
Median Absolute Deviation (MAD)47
Skewness1.4244046
Sum330185
Variance5696.8306
MonotonicityNot monotonic
2024-04-06T17:15:33.014736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 52
 
1.4%
25 45
 
1.2%
10 44
 
1.2%
23 44
 
1.2%
21 44
 
1.2%
24 43
 
1.2%
30 42
 
1.2%
22 42
 
1.2%
18 40
 
1.1%
14 40
 
1.1%
Other values (322) 3177
87.9%
ValueCountFrequency (%)
0 6
 
0.2%
1 6
 
0.2%
2 8
 
0.2%
3 6
 
0.2%
4 3
 
0.1%
5 14
0.4%
6 9
0.2%
7 21
0.6%
8 17
0.5%
9 16
0.4%
ValueCountFrequency (%)
641 1
< 0.1%
585 1
< 0.1%
557 1
< 0.1%
533 1
< 0.1%
491 1
< 0.1%
447 1
< 0.1%
434 2
0.1%
430 1
< 0.1%
419 1
< 0.1%
414 2
0.1%

61세남자
Real number (ℝ)

Distinct357
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.77415
Minimum0
Maximum708
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:33.388857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q137
median83
Q3146
95-th percentile260
Maximum708
Range708
Interquartile range (IQR)109

Descriptive statistics

Standard deviation82.555109
Coefficient of variation (CV)0.80326726
Kurtosis3.8572894
Mean102.77415
Median Absolute Deviation (MAD)51
Skewness1.502916
Sum371323
Variance6815.346
MonotonicityNot monotonic
2024-04-06T17:15:33.755995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 43
 
1.2%
26 43
 
1.2%
27 41
 
1.1%
21 41
 
1.1%
41 40
 
1.1%
30 40
 
1.1%
33 39
 
1.1%
19 38
 
1.1%
22 36
 
1.0%
32 35
 
1.0%
Other values (347) 3217
89.0%
ValueCountFrequency (%)
0 2
 
0.1%
1 5
 
0.1%
2 4
 
0.1%
3 4
 
0.1%
4 8
0.2%
5 4
 
0.1%
6 3
 
0.1%
7 5
 
0.1%
8 13
0.4%
9 15
0.4%
ValueCountFrequency (%)
708 1
< 0.1%
656 1
< 0.1%
644 2
0.1%
575 1
< 0.1%
572 1
< 0.1%
510 1
< 0.1%
508 1
< 0.1%
490 1
< 0.1%
456 1
< 0.1%
440 1
< 0.1%

62세남자
Real number (ℝ)

Distinct356
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.87573
Minimum0
Maximum644
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:34.354272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q138
median83
Q3145
95-th percentile255
Maximum644
Range644
Interquartile range (IQR)107

Descriptive statistics

Standard deviation79.792573
Coefficient of variation (CV)0.78323439
Kurtosis3.4039249
Mean101.87573
Median Absolute Deviation (MAD)50
Skewness1.4540228
Sum368077
Variance6366.8547
MonotonicityNot monotonic
2024-04-06T17:15:34.629039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 46
 
1.3%
22 42
 
1.2%
29 40
 
1.1%
20 40
 
1.1%
28 39
 
1.1%
35 38
 
1.1%
26 37
 
1.0%
31 36
 
1.0%
30 35
 
1.0%
34 35
 
1.0%
Other values (346) 3225
89.3%
ValueCountFrequency (%)
0 3
 
0.1%
1 7
0.2%
3 8
0.2%
4 4
 
0.1%
5 11
0.3%
6 8
0.2%
7 4
 
0.1%
8 7
0.2%
9 9
0.2%
10 8
0.2%
ValueCountFrequency (%)
644 1
< 0.1%
639 1
< 0.1%
634 1
< 0.1%
562 1
< 0.1%
548 1
< 0.1%
494 1
< 0.1%
492 1
< 0.1%
485 1
< 0.1%
462 1
< 0.1%
444 1
< 0.1%

63세남자
Real number (ℝ)

Distinct370
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.32771
Minimum0
Maximum749
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:34.925607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.6
Q142
median89
Q3154
95-th percentile265
Maximum749
Range749
Interquartile range (IQR)112

Descriptive statistics

Standard deviation82.446076
Coefficient of variation (CV)0.76108024
Kurtosis3.6184369
Mean108.32771
Median Absolute Deviation (MAD)52
Skewness1.4546458
Sum391388
Variance6797.3555
MonotonicityNot monotonic
2024-04-06T17:15:35.256901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 44
 
1.2%
33 40
 
1.1%
35 39
 
1.1%
27 38
 
1.1%
28 38
 
1.1%
34 38
 
1.1%
31 37
 
1.0%
37 36
 
1.0%
25 36
 
1.0%
29 34
 
0.9%
Other values (360) 3233
89.5%
ValueCountFrequency (%)
0 2
 
0.1%
1 8
0.2%
2 3
 
0.1%
3 4
0.1%
4 3
 
0.1%
5 7
0.2%
6 6
0.2%
7 4
0.1%
8 5
0.1%
9 6
0.2%
ValueCountFrequency (%)
749 1
< 0.1%
675 1
< 0.1%
623 1
< 0.1%
561 1
< 0.1%
532 1
< 0.1%
529 1
< 0.1%
524 1
< 0.1%
502 1
< 0.1%
472 1
< 0.1%
458 1
< 0.1%

64세남자
Real number (ℝ)

Distinct341
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.770551
Minimum0
Maximum605
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:35.568647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q140
median82
Q3142
95-th percentile239
Maximum605
Range605
Interquartile range (IQR)102

Descriptive statistics

Standard deviation74.251393
Coefficient of variation (CV)0.74422154
Kurtosis2.9088703
Mean99.770551
Median Absolute Deviation (MAD)47
Skewness1.3660555
Sum360471
Variance5513.2693
MonotonicityNot monotonic
2024-04-06T17:15:35.840188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 45
 
1.2%
28 43
 
1.2%
26 39
 
1.1%
27 37
 
1.0%
33 36
 
1.0%
34 35
 
1.0%
31 35
 
1.0%
52 34
 
0.9%
32 33
 
0.9%
38 33
 
0.9%
Other values (331) 3243
89.8%
ValueCountFrequency (%)
0 4
0.1%
1 3
 
0.1%
2 4
0.1%
3 2
 
0.1%
4 5
0.1%
5 4
0.1%
6 8
0.2%
7 6
0.2%
8 7
0.2%
9 4
0.1%
ValueCountFrequency (%)
605 1
< 0.1%
577 1
< 0.1%
541 1
< 0.1%
491 1
< 0.1%
487 1
< 0.1%
447 1
< 0.1%
440 1
< 0.1%
429 1
< 0.1%
426 1
< 0.1%
422 1
< 0.1%

65세남자
Real number (ℝ)

Distinct313
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.398561
Minimum0
Maximum525
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:36.143699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q137
median76
Q3128
95-th percentile214.4
Maximum525
Range525
Interquartile range (IQR)91

Descriptive statistics

Standard deviation66.080382
Coefficient of variation (CV)0.73098931
Kurtosis2.4739561
Mean90.398561
Median Absolute Deviation (MAD)43
Skewness1.2851656
Sum326610
Variance4366.6169
MonotonicityNot monotonic
2024-04-06T17:15:36.533376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 49
 
1.4%
27 47
 
1.3%
21 42
 
1.2%
26 41
 
1.1%
25 41
 
1.1%
31 39
 
1.1%
19 38
 
1.1%
22 38
 
1.1%
34 37
 
1.0%
33 36
 
1.0%
Other values (303) 3205
88.7%
ValueCountFrequency (%)
0 5
0.1%
1 5
0.1%
2 3
 
0.1%
3 5
0.1%
4 7
0.2%
5 2
 
0.1%
6 6
0.2%
7 11
0.3%
8 9
0.2%
9 7
0.2%
ValueCountFrequency (%)
525 1
< 0.1%
514 1
< 0.1%
465 1
< 0.1%
419 1
< 0.1%
415 1
< 0.1%
414 1
< 0.1%
396 1
< 0.1%
394 1
< 0.1%
380 1
< 0.1%
368 1
< 0.1%

66세남자
Real number (ℝ)

Distinct301
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.147246
Minimum0
Maximum513
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:36.995007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q137
median73
Q3123
95-th percentile205.4
Maximum513
Range513
Interquartile range (IQR)86

Descriptive statistics

Standard deviation62.424252
Coefficient of variation (CV)0.7163078
Kurtosis2.5972705
Mean87.147246
Median Absolute Deviation (MAD)40
Skewness1.2913626
Sum314863
Variance3896.7873
MonotonicityNot monotonic
2024-04-06T17:15:37.266366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 45
 
1.2%
21 44
 
1.2%
35 43
 
1.2%
19 42
 
1.2%
38 40
 
1.1%
25 39
 
1.1%
23 39
 
1.1%
32 38
 
1.1%
24 38
 
1.1%
22 37
 
1.0%
Other values (291) 3208
88.8%
ValueCountFrequency (%)
0 3
 
0.1%
1 4
 
0.1%
2 3
 
0.1%
3 11
0.3%
4 3
 
0.1%
5 8
0.2%
6 5
0.1%
7 4
 
0.1%
8 3
 
0.1%
9 7
0.2%
ValueCountFrequency (%)
513 1
< 0.1%
506 1
< 0.1%
404 1
< 0.1%
390 1
< 0.1%
386 1
< 0.1%
385 1
< 0.1%
384 1
< 0.1%
378 1
< 0.1%
368 1
< 0.1%
367 1
< 0.1%

67세남자
Real number (ℝ)

Distinct274
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.048713
Minimum0
Maximum450
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:37.626701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q135
median68
Q3112
95-th percentile185
Maximum450
Range450
Interquartile range (IQR)77

Descriptive statistics

Standard deviation56.357027
Coefficient of variation (CV)0.70403414
Kurtosis2.5304112
Mean80.048713
Median Absolute Deviation (MAD)36
Skewness1.2740495
Sum289216
Variance3176.1145
MonotonicityNot monotonic
2024-04-06T17:15:37.880862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 47
 
1.3%
23 45
 
1.2%
27 43
 
1.2%
29 40
 
1.1%
39 40
 
1.1%
25 39
 
1.1%
28 39
 
1.1%
45 39
 
1.1%
33 39
 
1.1%
19 38
 
1.1%
Other values (264) 3204
88.7%
ValueCountFrequency (%)
0 5
0.1%
1 7
0.2%
2 3
 
0.1%
3 4
 
0.1%
4 6
0.2%
5 8
0.2%
6 5
0.1%
7 10
0.3%
8 9
0.2%
9 12
0.3%
ValueCountFrequency (%)
450 1
< 0.1%
449 1
< 0.1%
392 1
< 0.1%
354 1
< 0.1%
353 1
< 0.1%
350 1
< 0.1%
338 1
< 0.1%
336 1
< 0.1%
335 1
< 0.1%
325 1
< 0.1%

68세남자
Real number (ℝ)

Distinct259
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.33933
Minimum0
Maximum448
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:38.158181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q134
median65
Q3106
95-th percentile178
Maximum448
Range448
Interquartile range (IQR)72

Descriptive statistics

Standard deviation53.291406
Coefficient of variation (CV)0.69808585
Kurtosis2.4722606
Mean76.33933
Median Absolute Deviation (MAD)34
Skewness1.2466087
Sum275814
Variance2839.974
MonotonicityNot monotonic
2024-04-06T17:15:38.529971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 46
 
1.3%
23 45
 
1.2%
38 44
 
1.2%
18 43
 
1.2%
19 41
 
1.1%
34 40
 
1.1%
24 40
 
1.1%
32 40
 
1.1%
25 39
 
1.1%
27 39
 
1.1%
Other values (249) 3196
88.5%
ValueCountFrequency (%)
0 5
 
0.1%
1 3
 
0.1%
2 7
0.2%
3 3
 
0.1%
4 10
0.3%
5 7
0.2%
6 7
0.2%
7 7
0.2%
8 13
0.4%
9 11
0.3%
ValueCountFrequency (%)
448 1
< 0.1%
435 1
< 0.1%
368 1
< 0.1%
338 1
< 0.1%
330 1
< 0.1%
323 1
< 0.1%
315 1
< 0.1%
308 1
< 0.1%
304 1
< 0.1%
300 2
0.1%

69세남자
Real number (ℝ)

Distinct258
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.755882
Minimum0
Maximum459
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:38.809647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q135
median65
Q3105
95-th percentile176
Maximum459
Range459
Interquartile range (IQR)70

Descriptive statistics

Standard deviation52.456518
Coefficient of variation (CV)0.69244152
Kurtosis2.7667937
Mean75.755882
Median Absolute Deviation (MAD)34
Skewness1.2973903
Sum273706
Variance2751.6862
MonotonicityNot monotonic
2024-04-06T17:15:39.061038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 49
 
1.4%
25 47
 
1.3%
29 45
 
1.2%
30 45
 
1.2%
37 41
 
1.1%
27 41
 
1.1%
49 40
 
1.1%
52 40
 
1.1%
28 39
 
1.1%
38 38
 
1.1%
Other values (248) 3188
88.2%
ValueCountFrequency (%)
0 5
0.1%
1 4
0.1%
2 5
0.1%
3 8
0.2%
4 6
0.2%
5 4
0.1%
6 8
0.2%
7 7
0.2%
8 7
0.2%
9 9
0.2%
ValueCountFrequency (%)
459 1
< 0.1%
423 1
< 0.1%
342 1
< 0.1%
339 1
< 0.1%
330 1
< 0.1%
326 1
< 0.1%
325 1
< 0.1%
320 1
< 0.1%
300 1
< 0.1%
299 1
< 0.1%

70세남자
Real number (ℝ)

Distinct202
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.913092
Minimum0
Maximum371
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:39.491717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q126
median49
Q380
95-th percentile136
Maximum371
Range371
Interquartile range (IQR)54

Descriptive statistics

Standard deviation40.519074
Coefficient of variation (CV)0.69965309
Kurtosis3.009461
Mean57.913092
Median Absolute Deviation (MAD)26
Skewness1.3287983
Sum209240
Variance1641.7953
MonotonicityNot monotonic
2024-04-06T17:15:39.844745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 58
 
1.6%
23 57
 
1.6%
20 54
 
1.5%
24 53
 
1.5%
27 53
 
1.5%
22 53
 
1.5%
15 52
 
1.4%
21 49
 
1.4%
25 49
 
1.4%
19 48
 
1.3%
Other values (192) 3087
85.4%
ValueCountFrequency (%)
0 7
 
0.2%
1 6
 
0.2%
2 7
 
0.2%
3 10
 
0.3%
4 6
 
0.2%
5 11
 
0.3%
6 19
0.5%
7 13
 
0.4%
8 33
0.9%
9 36
1.0%
ValueCountFrequency (%)
371 1
< 0.1%
307 1
< 0.1%
282 1
< 0.1%
275 1
< 0.1%
271 1
< 0.1%
265 1
< 0.1%
253 1
< 0.1%
245 1
< 0.1%
243 1
< 0.1%
225 1
< 0.1%

71세남자
Real number (ℝ)

Distinct215
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.845558
Minimum0
Maximum383
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:40.777395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q128
median52
Q384
95-th percentile143
Maximum383
Range383
Interquartile range (IQR)56

Descriptive statistics

Standard deviation42.197066
Coefficient of variation (CV)0.69351105
Kurtosis2.9792781
Mean60.845558
Median Absolute Deviation (MAD)27
Skewness1.3144587
Sum219835
Variance1780.5924
MonotonicityNot monotonic
2024-04-06T17:15:41.065197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 59
 
1.6%
17 59
 
1.6%
23 57
 
1.6%
21 51
 
1.4%
24 48
 
1.3%
19 48
 
1.3%
28 48
 
1.3%
27 47
 
1.3%
22 45
 
1.2%
16 45
 
1.2%
Other values (205) 3106
86.0%
ValueCountFrequency (%)
0 6
 
0.2%
1 6
 
0.2%
2 10
 
0.3%
3 3
 
0.1%
4 5
 
0.1%
5 12
0.3%
6 21
0.6%
7 17
0.5%
8 11
0.3%
9 25
0.7%
ValueCountFrequency (%)
383 1
< 0.1%
352 1
< 0.1%
301 1
< 0.1%
266 1
< 0.1%
264 1
< 0.1%
251 2
0.1%
247 1
< 0.1%
240 1
< 0.1%
238 1
< 0.1%
236 1
< 0.1%

72세남자
Real number (ℝ)

Distinct183
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.218932
Minimum0
Maximum277
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:41.468262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q124
median44
Q368
95-th percentile114
Maximum277
Range277
Interquartile range (IQR)44

Descriptive statistics

Standard deviation33.866914
Coefficient of variation (CV)0.67438539
Kurtosis2.4866481
Mean50.218932
Median Absolute Deviation (MAD)21
Skewness1.2895628
Sum181441
Variance1146.9678
MonotonicityNot monotonic
2024-04-06T17:15:41.879314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 65
 
1.8%
25 64
 
1.8%
21 60
 
1.7%
19 60
 
1.7%
20 59
 
1.6%
16 58
 
1.6%
32 58
 
1.6%
23 57
 
1.6%
24 57
 
1.6%
14 56
 
1.5%
Other values (173) 3019
83.6%
ValueCountFrequency (%)
0 8
 
0.2%
1 7
 
0.2%
2 9
 
0.2%
3 7
 
0.2%
4 13
0.4%
5 13
0.4%
6 16
0.4%
7 12
 
0.3%
8 32
0.9%
9 28
0.8%
ValueCountFrequency (%)
277 1
< 0.1%
235 2
0.1%
218 1
< 0.1%
214 1
< 0.1%
205 1
< 0.1%
203 1
< 0.1%
196 2
0.1%
192 1
< 0.1%
190 1
< 0.1%
189 1
< 0.1%

73세남자
Real number (ℝ)

Distinct171
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.703294
Minimum0
Maximum247
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:42.170984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q122
median39
Q362
95-th percentile104
Maximum247
Range247
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.951566
Coefficient of variation (CV)0.67722834
Kurtosis2.2255346
Mean45.703294
Median Absolute Deviation (MAD)19
Skewness1.2457052
Sum165126
Variance957.99943
MonotonicityNot monotonic
2024-04-06T17:15:42.479875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 79
 
2.2%
16 67
 
1.9%
19 67
 
1.9%
21 65
 
1.8%
25 63
 
1.7%
13 63
 
1.7%
32 62
 
1.7%
18 59
 
1.6%
22 58
 
1.6%
23 58
 
1.6%
Other values (161) 2972
82.3%
ValueCountFrequency (%)
0 3
 
0.1%
1 12
 
0.3%
2 8
 
0.2%
3 8
 
0.2%
4 12
 
0.3%
5 15
 
0.4%
6 22
0.6%
7 29
0.8%
8 28
0.8%
9 44
1.2%
ValueCountFrequency (%)
247 1
< 0.1%
230 1
< 0.1%
212 1
< 0.1%
189 1
< 0.1%
178 1
< 0.1%
177 1
< 0.1%
173 1
< 0.1%
172 1
< 0.1%
171 2
0.1%
170 2
0.1%

74세남자
Real number (ℝ)

Distinct171
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.049543
Minimum0
Maximum236
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:42.763662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q123
median40
Q364
95-th percentile106
Maximum236
Range236
Interquartile range (IQR)41

Descriptive statistics

Standard deviation31.405751
Coefficient of variation (CV)0.66750384
Kurtosis2.2789553
Mean47.049543
Median Absolute Deviation (MAD)19
Skewness1.2584058
Sum169990
Variance986.32119
MonotonicityNot monotonic
2024-04-06T17:15:43.063335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 67
 
1.9%
33 65
 
1.8%
18 65
 
1.8%
16 63
 
1.7%
13 62
 
1.7%
34 62
 
1.7%
29 61
 
1.7%
21 61
 
1.7%
26 60
 
1.7%
23 59
 
1.6%
Other values (161) 2988
82.7%
ValueCountFrequency (%)
0 6
 
0.2%
1 9
 
0.2%
2 7
 
0.2%
3 11
 
0.3%
4 15
 
0.4%
5 20
0.6%
6 19
0.5%
7 16
0.4%
8 23
0.6%
9 38
1.1%
ValueCountFrequency (%)
236 1
< 0.1%
230 1
< 0.1%
223 1
< 0.1%
196 1
< 0.1%
192 1
< 0.1%
190 2
0.1%
181 1
< 0.1%
177 1
< 0.1%
176 1
< 0.1%
173 1
< 0.1%

75세남자
Real number (ℝ)

Distinct165
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.358705
Minimum0
Maximum235
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:43.328789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q122
median39
Q361
95-th percentile103
Maximum235
Range235
Interquartile range (IQR)39

Descriptive statistics

Standard deviation30.314415
Coefficient of variation (CV)0.6683263
Kurtosis2.4525594
Mean45.358705
Median Absolute Deviation (MAD)19
Skewness1.2885386
Sum163881
Variance918.96376
MonotonicityNot monotonic
2024-04-06T17:15:43.599633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 76
 
2.1%
19 73
 
2.0%
16 71
 
2.0%
29 66
 
1.8%
22 65
 
1.8%
28 64
 
1.8%
20 63
 
1.7%
40 60
 
1.7%
27 60
 
1.7%
34 58
 
1.6%
Other values (155) 2957
81.8%
ValueCountFrequency (%)
0 7
 
0.2%
1 4
 
0.1%
2 12
 
0.3%
3 12
 
0.3%
4 11
 
0.3%
5 12
 
0.3%
6 21
0.6%
7 23
0.6%
8 31
0.9%
9 49
1.4%
ValueCountFrequency (%)
235 1
< 0.1%
215 1
< 0.1%
210 1
< 0.1%
205 1
< 0.1%
201 1
< 0.1%
189 1
< 0.1%
175 1
< 0.1%
174 2
0.1%
172 2
0.1%
171 1
< 0.1%

76세남자
Real number (ℝ)

Distinct160
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.91752
Minimum0
Maximum271
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:43.873825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q122
median38
Q359
95-th percentile100
Maximum271
Range271
Interquartile range (IQR)37

Descriptive statistics

Standard deviation29.434658
Coefficient of variation (CV)0.67022586
Kurtosis2.9540901
Mean43.91752
Median Absolute Deviation (MAD)18
Skewness1.3379759
Sum158674
Variance866.39906
MonotonicityNot monotonic
2024-04-06T17:15:44.186193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 77
 
2.1%
18 72
 
2.0%
23 70
 
1.9%
16 70
 
1.9%
22 67
 
1.9%
20 66
 
1.8%
15 64
 
1.8%
27 63
 
1.7%
26 61
 
1.7%
28 60
 
1.7%
Other values (150) 2943
81.5%
ValueCountFrequency (%)
0 4
 
0.1%
1 7
 
0.2%
2 10
 
0.3%
3 16
0.4%
4 12
 
0.3%
5 23
0.6%
6 13
 
0.4%
7 32
0.9%
8 37
1.0%
9 26
0.7%
ValueCountFrequency (%)
271 1
< 0.1%
207 1
< 0.1%
205 1
< 0.1%
198 1
< 0.1%
195 1
< 0.1%
187 1
< 0.1%
184 2
0.1%
172 1
< 0.1%
170 1
< 0.1%
167 1
< 0.1%

77세남자
Real number (ℝ)

Distinct146
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.722391
Minimum0
Maximum216
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:44.500789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q119
median34
Q354
95-th percentile91
Maximum216
Range216
Interquartile range (IQR)35

Descriptive statistics

Standard deviation26.993911
Coefficient of variation (CV)0.67956411
Kurtosis2.5873304
Mean39.722391
Median Absolute Deviation (MAD)16
Skewness1.3170165
Sum143517
Variance728.67125
MonotonicityNot monotonic
2024-04-06T17:15:44.774138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 81
 
2.2%
25 76
 
2.1%
16 75
 
2.1%
29 75
 
2.1%
24 75
 
2.1%
19 73
 
2.0%
18 72
 
2.0%
20 72
 
2.0%
17 68
 
1.9%
22 68
 
1.9%
Other values (136) 2878
79.7%
ValueCountFrequency (%)
0 7
 
0.2%
1 10
 
0.3%
2 18
 
0.5%
3 15
 
0.4%
4 22
0.6%
5 20
0.6%
6 29
0.8%
7 35
1.0%
8 37
1.0%
9 45
1.2%
ValueCountFrequency (%)
216 1
< 0.1%
196 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%
180 1
< 0.1%
166 2
0.1%
159 1
< 0.1%
157 1
< 0.1%
155 1
< 0.1%
147 1
< 0.1%

78세남자
Real number (ℝ)

Distinct115
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.38915
Minimum0
Maximum160
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:45.012345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median24
Q339
95-th percentile68
Maximum160
Range160
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.82806
Coefficient of variation (CV)0.69843794
Kurtosis2.7210491
Mean28.38915
Median Absolute Deviation (MAD)12
Skewness1.3582772
Sum102570
Variance393.15195
MonotonicityNot monotonic
2024-04-06T17:15:45.276384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 109
 
3.0%
13 106
 
2.9%
10 104
 
2.9%
9 99
 
2.7%
12 95
 
2.6%
14 92
 
2.5%
17 91
 
2.5%
20 90
 
2.5%
18 89
 
2.5%
8 88
 
2.4%
Other values (105) 2650
73.3%
ValueCountFrequency (%)
0 10
 
0.3%
1 16
 
0.4%
2 18
 
0.5%
3 35
 
1.0%
4 46
1.3%
5 58
1.6%
6 73
2.0%
7 82
2.3%
8 88
2.4%
9 99
2.7%
ValueCountFrequency (%)
160 1
< 0.1%
140 1
< 0.1%
136 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%
129 1
< 0.1%
115 2
0.1%
113 1
< 0.1%
112 1
< 0.1%
111 2
0.1%

79세남자
Real number (ℝ)

Distinct116
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.796014
Minimum0
Maximum168
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:45.571128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median25
Q341
95-th percentile68.4
Maximum168
Range168
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.405609
Coefficient of variation (CV)0.68484358
Kurtosis2.8559215
Mean29.796014
Median Absolute Deviation (MAD)12
Skewness1.3537479
Sum107653
Variance416.38889
MonotonicityNot monotonic
2024-04-06T17:15:45.854791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 117
 
3.2%
15 103
 
2.9%
13 99
 
2.7%
18 98
 
2.7%
21 91
 
2.5%
27 91
 
2.5%
17 90
 
2.5%
19 89
 
2.5%
11 89
 
2.5%
29 84
 
2.3%
Other values (106) 2662
73.7%
ValueCountFrequency (%)
0 14
 
0.4%
1 15
 
0.4%
2 23
 
0.6%
3 18
 
0.5%
4 48
1.3%
5 43
1.2%
6 60
1.7%
7 70
1.9%
8 77
2.1%
9 72
2.0%
ValueCountFrequency (%)
168 1
< 0.1%
161 1
< 0.1%
138 1
< 0.1%
137 1
< 0.1%
136 1
< 0.1%
132 1
< 0.1%
122 2
0.1%
117 1
< 0.1%
115 2
0.1%
114 2
0.1%

80세남자
Real number (ℝ)

Distinct105
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.359258
Minimum0
Maximum162
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:46.154795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median22
Q336
95-th percentile62
Maximum162
Range162
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.163979
Coefficient of variation (CV)0.68909296
Kurtosis3.0271156
Mean26.359258
Median Absolute Deviation (MAD)11
Skewness1.3763357
Sum95236
Variance329.93014
MonotonicityNot monotonic
2024-04-06T17:15:46.479091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 123
 
3.4%
11 114
 
3.2%
12 113
 
3.1%
10 107
 
3.0%
14 100
 
2.8%
13 99
 
2.7%
17 98
 
2.7%
22 98
 
2.7%
8 97
 
2.7%
9 96
 
2.7%
Other values (95) 2568
71.1%
ValueCountFrequency (%)
0 15
 
0.4%
1 16
 
0.4%
2 27
 
0.7%
3 37
 
1.0%
4 40
1.1%
5 55
1.5%
6 75
2.1%
7 83
2.3%
8 97
2.7%
9 96
2.7%
ValueCountFrequency (%)
162 1
< 0.1%
139 1
< 0.1%
138 1
< 0.1%
128 1
< 0.1%
106 1
< 0.1%
105 1
< 0.1%
103 1
< 0.1%
99 2
0.1%
98 1
< 0.1%
97 2
0.1%

81세남자
Real number (ℝ)

Distinct124
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.306117
Minimum0
Maximum186
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:46.806969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q117
median27
Q342
95-th percentile73
Maximum186
Range186
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.265001
Coefficient of variation (CV)0.65823452
Kurtosis3.2855113
Mean32.306117
Median Absolute Deviation (MAD)12
Skewness1.4260355
Sum116722
Variance452.20029
MonotonicityNot monotonic
2024-04-06T17:15:47.157774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 103
 
2.9%
27 102
 
2.8%
17 92
 
2.5%
20 90
 
2.5%
11 89
 
2.5%
21 88
 
2.4%
26 87
 
2.4%
23 86
 
2.4%
24 86
 
2.4%
12 85
 
2.4%
Other values (114) 2705
74.9%
ValueCountFrequency (%)
0 10
 
0.3%
1 13
 
0.4%
2 14
 
0.4%
3 17
 
0.5%
4 15
 
0.4%
5 26
0.7%
6 55
1.5%
7 45
1.2%
8 46
1.3%
9 54
1.5%
ValueCountFrequency (%)
186 1
< 0.1%
173 1
< 0.1%
166 1
< 0.1%
142 1
< 0.1%
131 1
< 0.1%
130 1
< 0.1%
125 2
0.1%
124 1
< 0.1%
122 1
< 0.1%
120 1
< 0.1%

82세남자
Real number (ℝ)

Distinct103
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.07556
Minimum0
Maximum142
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:47.638278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median23
Q335
95-th percentile62
Maximum142
Range142
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.73145
Coefficient of variation (CV)0.65488764
Kurtosis3.0581995
Mean27.07556
Median Absolute Deviation (MAD)10
Skewness1.404478
Sum97824
Variance314.40431
MonotonicityNot monotonic
2024-04-06T17:15:48.023117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 117
 
3.2%
15 114
 
3.2%
23 110
 
3.0%
18 109
 
3.0%
19 108
 
3.0%
17 106
 
2.9%
14 105
 
2.9%
24 95
 
2.6%
11 94
 
2.6%
9 93
 
2.6%
Other values (93) 2562
70.9%
ValueCountFrequency (%)
0 14
 
0.4%
1 16
 
0.4%
2 18
 
0.5%
3 27
 
0.7%
4 25
 
0.7%
5 50
1.4%
6 43
1.2%
7 74
2.0%
8 80
2.2%
9 93
2.6%
ValueCountFrequency (%)
142 1
< 0.1%
136 1
< 0.1%
133 1
< 0.1%
126 2
0.1%
117 1
< 0.1%
114 1
< 0.1%
111 1
< 0.1%
104 1
< 0.1%
102 1
< 0.1%
96 2
0.1%

83세남자
Real number (ℝ)

Distinct81
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.375865
Minimum0
Maximum124
Zeros17
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:48.384918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median18
Q327
95-th percentile46.4
Maximum124
Range124
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.513698
Coefficient of variation (CV)0.66322083
Kurtosis3.8570936
Mean20.375865
Median Absolute Deviation (MAD)8
Skewness1.4939568
Sum73618
Variance182.62004
MonotonicityNot monotonic
2024-04-06T17:15:48.790541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 148
 
4.1%
11 146
 
4.0%
12 141
 
3.9%
9 140
 
3.9%
8 138
 
3.8%
15 137
 
3.8%
13 132
 
3.7%
18 127
 
3.5%
14 127
 
3.5%
16 122
 
3.4%
Other values (71) 2255
62.4%
ValueCountFrequency (%)
0 17
 
0.5%
1 32
 
0.9%
2 29
 
0.8%
3 52
 
1.4%
4 62
1.7%
5 66
1.8%
6 97
2.7%
7 94
2.6%
8 138
3.8%
9 140
3.9%
ValueCountFrequency (%)
124 1
 
< 0.1%
117 1
 
< 0.1%
101 1
 
< 0.1%
99 1
 
< 0.1%
96 1
 
< 0.1%
84 1
 
< 0.1%
79 1
 
< 0.1%
77 1
 
< 0.1%
74 2
0.1%
73 4
0.1%

84세남자
Real number (ℝ)

Distinct78
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.854968
Minimum0
Maximum95
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:49.508968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q325
95-th percentile42
Maximum95
Range95
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.152478
Coefficient of variation (CV)0.64452393
Kurtosis2.9327414
Mean18.854968
Median Absolute Deviation (MAD)7
Skewness1.3839737
Sum68123
Variance147.68273
MonotonicityNot monotonic
2024-04-06T17:15:49.747932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 169
 
4.7%
9 159
 
4.4%
11 158
 
4.4%
13 153
 
4.2%
16 153
 
4.2%
8 153
 
4.2%
14 148
 
4.1%
10 137
 
3.8%
17 130
 
3.6%
18 127
 
3.5%
Other values (68) 2126
58.8%
ValueCountFrequency (%)
0 22
 
0.6%
1 31
 
0.9%
2 33
 
0.9%
3 47
 
1.3%
4 51
 
1.4%
5 102
2.8%
6 94
2.6%
7 114
3.2%
8 153
4.2%
9 159
4.4%
ValueCountFrequency (%)
95 1
< 0.1%
92 1
< 0.1%
89 1
< 0.1%
79 2
0.1%
75 2
0.1%
74 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 2
0.1%

85세남자
Real number (ℝ)

Distinct68
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.999446
Minimum0
Maximum88
Zeros32
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:49.996801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median14
Q321
95-th percentile36
Maximum88
Range88
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.513689
Coefficient of variation (CV)0.65712828
Kurtosis3.4964881
Mean15.999446
Median Absolute Deviation (MAD)6
Skewness1.4518443
Sum57806
Variance110.53765
MonotonicityNot monotonic
2024-04-06T17:15:50.258163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 188
 
5.2%
11 188
 
5.2%
13 175
 
4.8%
12 169
 
4.7%
8 168
 
4.6%
10 168
 
4.6%
7 166
 
4.6%
14 162
 
4.5%
15 152
 
4.2%
16 144
 
4.0%
Other values (58) 1933
53.5%
ValueCountFrequency (%)
0 32
 
0.9%
1 38
 
1.1%
2 50
 
1.4%
3 79
2.2%
4 101
2.8%
5 109
3.0%
6 131
3.6%
7 166
4.6%
8 168
4.6%
9 188
5.2%
ValueCountFrequency (%)
88 1
 
< 0.1%
85 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%
66 1
 
< 0.1%
65 1
 
< 0.1%
64 1
 
< 0.1%
61 2
 
0.1%
59 3
0.1%
58 5
0.1%

86세남자
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.955162
Minimum0
Maximum75
Zeros42
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:50.526505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q317
95-th percentile29
Maximum75
Range75
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.7883747
Coefficient of variation (CV)0.67836858
Kurtosis3.2503542
Mean12.955162
Median Absolute Deviation (MAD)5
Skewness1.4156213
Sum46807
Variance77.235531
MonotonicityNot monotonic
2024-04-06T17:15:50.804910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 221
 
6.1%
10 218
 
6.0%
9 210
 
5.8%
11 205
 
5.7%
6 190
 
5.3%
7 181
 
5.0%
13 174
 
4.8%
5 167
 
4.6%
12 165
 
4.6%
14 163
 
4.5%
Other values (48) 1719
47.6%
ValueCountFrequency (%)
0 42
 
1.2%
1 61
 
1.7%
2 113
3.1%
3 116
3.2%
4 162
4.5%
5 167
4.6%
6 190
5.3%
7 181
5.0%
8 221
6.1%
9 210
5.8%
ValueCountFrequency (%)
75 1
 
< 0.1%
62 1
 
< 0.1%
61 1
 
< 0.1%
60 1
 
< 0.1%
59 1
 
< 0.1%
58 2
0.1%
53 1
 
< 0.1%
51 2
0.1%
50 3
0.1%
48 2
0.1%

87세남자
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.848325
Minimum0
Maximum57
Zeros42
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:51.110714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q314
95-th percentile25
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.3771009
Coefficient of variation (CV)0.68002208
Kurtosis3.2471613
Mean10.848325
Median Absolute Deviation (MAD)4
Skewness1.4201959
Sum39195
Variance54.421617
MonotonicityNot monotonic
2024-04-06T17:15:51.415910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 259
 
7.2%
8 241
 
6.7%
6 239
 
6.6%
5 230
 
6.4%
9 223
 
6.2%
4 209
 
5.8%
10 199
 
5.5%
12 195
 
5.4%
11 187
 
5.2%
13 166
 
4.6%
Other values (41) 1465
40.5%
ValueCountFrequency (%)
0 42
 
1.2%
1 92
 
2.5%
2 140
3.9%
3 163
4.5%
4 209
5.8%
5 230
6.4%
6 239
6.6%
7 259
7.2%
8 241
6.7%
9 223
6.2%
ValueCountFrequency (%)
57 2
0.1%
53 1
 
< 0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%
43 4
0.1%
42 2
0.1%
41 4
0.1%

88세남자
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7121506
Minimum0
Maximum50
Zeros78
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:51.677110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q312
95-th percentile21
Maximum50
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.064133
Coefficient of variation (CV)0.69605466
Kurtosis3.0829769
Mean8.7121506
Median Absolute Deviation (MAD)3
Skewness1.3896189
Sum31477
Variance36.773709
MonotonicityNot monotonic
2024-04-06T17:15:51.956524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
6 310
 
8.6%
5 310
 
8.6%
4 298
 
8.2%
7 280
 
7.7%
8 266
 
7.4%
3 241
 
6.7%
9 239
 
6.6%
10 207
 
5.7%
2 176
 
4.9%
12 152
 
4.2%
Other values (31) 1134
31.4%
ValueCountFrequency (%)
0 78
 
2.2%
1 131
3.6%
2 176
4.9%
3 241
6.7%
4 298
8.2%
5 310
8.6%
6 310
8.6%
7 280
7.7%
8 266
7.4%
9 239
6.6%
ValueCountFrequency (%)
50 1
 
< 0.1%
47 1
 
< 0.1%
45 1
 
< 0.1%
38 3
0.1%
37 3
0.1%
35 2
 
0.1%
34 3
0.1%
33 1
 
< 0.1%
32 3
0.1%
31 5
0.1%

89세남자
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6512593
Minimum0
Maximum37
Zeros115
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:52.200308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q39
95-th percentile16
Maximum37
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8208948
Coefficient of variation (CV)0.72480932
Kurtosis3.905193
Mean6.6512593
Median Absolute Deviation (MAD)3
Skewness1.5285694
Sum24031
Variance23.241026
MonotonicityNot monotonic
2024-04-06T17:15:52.477098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 389
10.8%
4 384
10.6%
6 352
9.7%
5 352
9.7%
7 299
8.3%
2 285
 
7.9%
8 240
 
6.6%
1 211
 
5.8%
9 201
 
5.6%
10 159
 
4.4%
Other values (25) 741
20.5%
ValueCountFrequency (%)
0 115
 
3.2%
1 211
5.8%
2 285
7.9%
3 389
10.8%
4 384
10.6%
5 352
9.7%
6 352
9.7%
7 299
8.3%
8 240
6.6%
9 201
5.6%
ValueCountFrequency (%)
37 2
 
0.1%
36 1
 
< 0.1%
33 2
 
0.1%
31 3
 
0.1%
30 4
0.1%
29 1
 
< 0.1%
28 4
0.1%
27 1
 
< 0.1%
26 4
0.1%
25 8
0.2%

90세남자
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7467479
Minimum0
Maximum33
Zeros233
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:52.740775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile12
Maximum33
Range33
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6292491
Coefficient of variation (CV)0.76457592
Kurtosis3.6095848
Mean4.7467479
Median Absolute Deviation (MAD)2
Skewness1.4259701
Sum17150
Variance13.171449
MonotonicityNot monotonic
2024-04-06T17:15:53.016686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 511
14.1%
2 448
12.4%
4 436
12.1%
1 384
10.6%
5 363
10.0%
6 323
8.9%
7 249
6.9%
0 233
6.4%
8 201
 
5.6%
9 115
 
3.2%
Other values (16) 350
9.7%
ValueCountFrequency (%)
0 233
6.4%
1 384
10.6%
2 448
12.4%
3 511
14.1%
4 436
12.1%
5 363
10.0%
6 323
8.9%
7 249
6.9%
8 201
 
5.6%
9 115
 
3.2%
ValueCountFrequency (%)
33 1
 
< 0.1%
30 1
 
< 0.1%
24 2
 
0.1%
22 2
 
0.1%
21 3
 
0.1%
20 4
 
0.1%
19 6
 
0.2%
18 6
 
0.2%
17 13
0.4%
16 19
0.5%

91세남자
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5076114
Minimum0
Maximum20
Zeros384
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:53.266648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8923583
Coefficient of variation (CV)0.82459485
Kurtosis2.5235812
Mean3.5076114
Median Absolute Deviation (MAD)2
Skewness1.3531507
Sum12673
Variance8.3657366
MonotonicityNot monotonic
2024-04-06T17:15:53.536424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 642
17.8%
1 567
15.7%
3 558
15.4%
4 406
11.2%
0 384
10.6%
5 337
9.3%
6 220
 
6.1%
7 153
 
4.2%
8 113
 
3.1%
9 75
 
2.1%
Other values (10) 158
 
4.4%
ValueCountFrequency (%)
0 384
10.6%
1 567
15.7%
2 642
17.8%
3 558
15.4%
4 406
11.2%
5 337
9.3%
6 220
 
6.1%
7 153
 
4.2%
8 113
 
3.1%
9 75
 
2.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 2
 
0.1%
17 5
 
0.1%
16 3
 
0.1%
15 9
 
0.2%
14 13
 
0.4%
13 16
 
0.4%
12 16
 
0.4%
11 31
0.9%
10 62
1.7%

92세남자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4389704
Minimum0
Maximum18
Zeros618
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:53.792526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1784834
Coefficient of variation (CV)0.89319797
Kurtosis3.4344338
Mean2.4389704
Median Absolute Deviation (MAD)1
Skewness1.4653428
Sum8812
Variance4.7457899
MonotonicityNot monotonic
2024-04-06T17:15:54.023551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 824
22.8%
2 746
20.6%
0 618
17.1%
3 528
14.6%
4 362
10.0%
5 204
 
5.6%
6 141
 
3.9%
7 83
 
2.3%
8 40
 
1.1%
9 25
 
0.7%
Other values (8) 42
 
1.2%
ValueCountFrequency (%)
0 618
17.1%
1 824
22.8%
2 746
20.6%
3 528
14.6%
4 362
10.0%
5 204
 
5.6%
6 141
 
3.9%
7 83
 
2.3%
8 40
 
1.1%
9 25
 
0.7%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
0.1%
14 2
 
0.1%
13 1
 
< 0.1%
12 3
 
0.1%
11 11
 
0.3%
10 21
0.6%
9 25
0.7%
8 40
1.1%

93세남자
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5983947
Minimum0
Maximum14
Zeros1042
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:54.246430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.640965
Coefficient of variation (CV)1.0266331
Kurtosis5.106162
Mean1.5983947
Median Absolute Deviation (MAD)1
Skewness1.6723925
Sum5775
Variance2.692766
MonotonicityNot monotonic
2024-04-06T17:15:54.465842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1042
28.8%
1 1025
28.4%
2 723
20.0%
3 410
 
11.3%
4 206
 
5.7%
5 94
 
2.6%
6 66
 
1.8%
7 29
 
0.8%
8 6
 
0.2%
9 5
 
0.1%
Other values (4) 7
 
0.2%
ValueCountFrequency (%)
0 1042
28.8%
1 1025
28.4%
2 723
20.0%
3 410
 
11.3%
4 206
 
5.7%
5 94
 
2.6%
6 66
 
1.8%
7 29
 
0.8%
8 6
 
0.2%
9 5
 
0.1%
ValueCountFrequency (%)
14 2
 
0.1%
13 2
 
0.1%
12 2
 
0.1%
10 1
 
< 0.1%
9 5
 
0.1%
8 6
 
0.2%
7 29
 
0.8%
6 66
 
1.8%
5 94
2.6%
4 206
5.7%

94세남자
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2280653
Minimum0
Maximum14
Zeros1320
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:54.689040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368252
Coefficient of variation (CV)1.1141525
Kurtosis5.2698007
Mean1.2280653
Median Absolute Deviation (MAD)1
Skewness1.7143274
Sum4437
Variance1.8721136
MonotonicityNot monotonic
2024-04-06T17:15:54.944175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1320
36.5%
1 1102
30.5%
2 657
18.2%
3 306
 
8.5%
4 129
 
3.6%
5 49
 
1.4%
6 26
 
0.7%
7 17
 
0.5%
8 3
 
0.1%
10 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1320
36.5%
1 1102
30.5%
2 657
18.2%
3 306
 
8.5%
4 129
 
3.6%
5 49
 
1.4%
6 26
 
0.7%
7 17
 
0.5%
8 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
10 2
 
0.1%
9 1
 
< 0.1%
8 3
 
0.1%
7 17
 
0.5%
6 26
 
0.7%
5 49
 
1.4%
4 129
 
3.6%
3 306
8.5%
2 657
18.2%

95세남자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8444506
Minimum0
Maximum8
Zeros1770
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:55.251117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0914169
Coefficient of variation (CV)1.292458
Kurtosis4.105371
Mean0.8444506
Median Absolute Deviation (MAD)1
Skewness1.7223216
Sum3051
Variance1.1911908
MonotonicityNot monotonic
2024-04-06T17:15:55.532004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1770
49.0%
1 1082
29.9%
2 480
 
13.3%
3 174
 
4.8%
4 72
 
2.0%
5 19
 
0.5%
6 10
 
0.3%
7 4
 
0.1%
8 2
 
0.1%
ValueCountFrequency (%)
0 1770
49.0%
1 1082
29.9%
2 480
 
13.3%
3 174
 
4.8%
4 72
 
2.0%
5 19
 
0.5%
6 10
 
0.3%
7 4
 
0.1%
8 2
 
0.1%
ValueCountFrequency (%)
8 2
 
0.1%
7 4
 
0.1%
6 10
 
0.3%
5 19
 
0.5%
4 72
 
2.0%
3 174
 
4.8%
2 480
 
13.3%
1 1082
29.9%
0 1770
49.0%

96세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55327982
Minimum0
Maximum6
Zeros2168
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:55.831593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81530787
Coefficient of variation (CV)1.4735905
Kurtosis4.2796485
Mean0.55327982
Median Absolute Deviation (MAD)0
Skewness1.8031523
Sum1999
Variance0.66472692
MonotonicityNot monotonic
2024-04-06T17:15:56.104655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2168
60.0%
1 1038
28.7%
2 301
 
8.3%
3 75
 
2.1%
4 23
 
0.6%
5 6
 
0.2%
6 2
 
0.1%
ValueCountFrequency (%)
0 2168
60.0%
1 1038
28.7%
2 301
 
8.3%
3 75
 
2.1%
4 23
 
0.6%
5 6
 
0.2%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
5 6
 
0.2%
4 23
 
0.6%
3 75
 
2.1%
2 301
 
8.3%
1 1038
28.7%
0 2168
60.0%

97세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
2673 
1
760 
2
 
148
3
 
30
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2673
74.0%
1 760
 
21.0%
2 148
 
4.1%
3 30
 
0.8%
4 2
 
0.1%

Length

2024-04-06T17:15:56.389879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:56.616215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2673
74.0%
1 760
 
21.0%
2 148
 
4.1%
3 30
 
0.8%
4 2
 
0.1%

98세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17935234
Minimum0
Maximum5
Zeros3055
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:15:56.900180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45621696
Coefficient of variation (CV)2.5436911
Kurtosis11.99214
Mean0.17935234
Median Absolute Deviation (MAD)0
Skewness3.012547
Sum648
Variance0.20813391
MonotonicityNot monotonic
2024-04-06T17:15:57.206212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3055
84.6%
1 484
 
13.4%
2 61
 
1.7%
3 11
 
0.3%
5 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 3055
84.6%
1 484
 
13.4%
2 61
 
1.7%
3 11
 
0.3%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 11
 
0.3%
2 61
 
1.7%
1 484
 
13.4%
0 3055
84.6%

99세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3212 
1
366 
2
 
32
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3212
88.9%
1 366
 
10.1%
2 32
 
0.9%
3 2
 
0.1%
5 1
 
< 0.1%

Length

2024-04-06T17:15:57.453848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:57.671284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3212
88.9%
1 366
 
10.1%
2 32
 
0.9%
3 2
 
0.1%
5 1
 
< 0.1%

100세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3244 
1
335 
2
 
32
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3244
89.8%
1 335
 
9.3%
2 32
 
0.9%
4 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:15:57.867853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:58.080100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3244
89.8%
1 335
 
9.3%
2 32
 
0.9%
4 1
 
< 0.1%
3 1
 
< 0.1%

101세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3360 
1
 
241
2
 
9
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3360
93.0%
1 241
 
6.7%
2 9
 
0.2%
3 3
 
0.1%

Length

2024-04-06T17:15:58.264510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:58.455897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3360
93.0%
1 241
 
6.7%
2 9
 
0.2%
3 3
 
0.1%

102세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3492 
1
 
118
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 row1

Common Values

ValueCountFrequency (%)
0 3492
96.7%
1 118
 
3.3%
2 3
 
0.1%

Length

2024-04-06T17:15:58.662672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:58.878398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3492
96.7%
1 118
 
3.3%
2 3
 
0.1%

103세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3537 
1
 
73
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 3537
97.9%
1 73
 
2.0%
2 3
 
0.1%

Length

2024-04-06T17:15:59.124104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:59.318829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3537
97.9%
1 73
 
2.0%
2 3
 
0.1%

104세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3556 
1
 
56
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 3556
98.4%
1 56
 
1.5%
2 1
 
< 0.1%

Length

2024-04-06T17:15:59.517842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:59.714272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3556
98.4%
1 56
 
1.5%
2 1
 
< 0.1%

105세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3588 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3588
99.3%
1 25
 
0.7%

Length

2024-04-06T17:15:59.908588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:00.115319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3588
99.3%
1 25
 
0.7%

106세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3596 
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 3596
99.5%
1 17
 
0.5%

Length

2024-04-06T17:16:00.704988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:00.877192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3596
99.5%
1 17
 
0.5%

107세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3600 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3600
99.6%
1 13
 
0.4%

Length

2024-04-06T17:16:01.056446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:01.330296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3600
99.6%
1 13
 
0.4%

108세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3606 
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 3606
99.8%
1 7
 
0.2%

Length

2024-04-06T17:16:01.550256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:01.746186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3606
99.8%
1 7
 
0.2%

109세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3607 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3607
99.8%
1 6
 
0.2%

Length

2024-04-06T17:16:01.949637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:02.150918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3607
99.8%
1 6
 
0.2%

110세이상 남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3599 
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 3599
99.6%
1 13
 
0.4%
2 1
 
< 0.1%

Length

2024-04-06T17:16:02.342368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:02.519421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3599
99.6%
1 13
 
0.4%
2 1
 
< 0.1%

0세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3601 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3601
99.7%
1 12
 
0.3%

Length

2024-04-06T17:16:02.757206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:03.087189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3601
99.7%
1 12
 
0.3%

1세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3584 
1
 
28
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 3584
99.2%
1 28
 
0.8%
2 1
 
< 0.1%

Length

2024-04-06T17:16:03.311320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:03.527087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3584
99.2%
1 28
 
0.8%
2 1
 
< 0.1%

2세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3552 
1
 
60
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 3552
98.3%
1 60
 
1.7%
2 1
 
< 0.1%

Length

2024-04-06T17:16:03.699789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:03.859168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3552
98.3%
1 60
 
1.7%
2 1
 
< 0.1%

3세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3534 
1
 
77
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3534
97.8%
1 77
 
2.1%
2 2
 
0.1%

Length

2024-04-06T17:16:04.045980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:04.255569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3534
97.8%
1 77
 
2.1%
2 2
 
0.1%

4세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3485 
1
 
121
2
 
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 3485
96.5%
1 121
 
3.3%
2 7
 
0.2%

Length

2024-04-06T17:16:04.492491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:04.664871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3485
96.5%
1 121
 
3.3%
2 7
 
0.2%

5세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3461 
1
 
145
2
 
6
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 3461
95.8%
1 145
 
4.0%
2 6
 
0.2%
3 1
 
< 0.1%

Length

2024-04-06T17:16:04.852009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:05.124149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3461
95.8%
1 145
 
4.0%
2 6
 
0.2%
3 1
 
< 0.1%

6세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3428 
1
 
167
2
 
17
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 3428
94.9%
1 167
 
4.6%
2 17
 
0.5%
3 1
 
< 0.1%

Length

2024-04-06T17:16:05.466091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:05.826249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3428
94.9%
1 167
 
4.6%
2 17
 
0.5%
3 1
 
< 0.1%

7세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3383 
1
 
209
2
 
19
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 3383
93.6%
1 209
 
5.8%
2 19
 
0.5%
3 2
 
0.1%

Length

2024-04-06T17:16:06.074800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:06.281679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3383
93.6%
1 209
 
5.8%
2 19
 
0.5%
3 2
 
0.1%

8세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.087461943
Minimum0
Maximum5
Zeros3346
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:06.443527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3411441
Coefficient of variation (CV)3.9004862
Kurtosis37.098809
Mean0.087461943
Median Absolute Deviation (MAD)0
Skewness5.1441655
Sum316
Variance0.1163793
MonotonicityNot monotonic
2024-04-06T17:16:06.613512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3346
92.6%
1 230
 
6.4%
2 29
 
0.8%
3 5
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 3346
92.6%
1 230
 
6.4%
2 29
 
0.8%
3 5
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
0.1%
3 5
 
0.1%
2 29
 
0.8%
1 230
 
6.4%
0 3346
92.6%

9세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3292 
1
 
284
2
 
34
3
 
2
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 3292
91.1%
1 284
 
7.9%
2 34
 
0.9%
3 2
 
0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:16:06.829554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:07.017608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3292
91.1%
1 284
 
7.9%
2 34
 
0.9%
3 2
 
0.1%
4 1
 
< 0.1%

10세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3261 
1
 
304
2
 
40
3
 
7
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 3261
90.3%
1 304
 
8.4%
2 40
 
1.1%
3 7
 
0.2%
4 1
 
< 0.1%

Length

2024-04-06T17:16:07.265164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:07.551230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3261
90.3%
1 304
 
8.4%
2 40
 
1.1%
3 7
 
0.2%
4 1
 
< 0.1%

11세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13368392
Minimum0
Maximum6
Zeros3211
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:07.751984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.42173463
Coefficient of variation (CV)3.1547147
Kurtosis28.83432
Mean0.13368392
Median Absolute Deviation (MAD)0
Skewness4.345584
Sum483
Variance0.1778601
MonotonicityNot monotonic
2024-04-06T17:16:07.952215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3211
88.9%
1 340
 
9.4%
2 51
 
1.4%
3 6
 
0.2%
4 3
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3211
88.9%
1 340
 
9.4%
2 51
 
1.4%
3 6
 
0.2%
4 3
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 3
 
0.1%
3 6
 
0.2%
2 51
 
1.4%
1 340
 
9.4%
0 3211
88.9%

12세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12288957
Minimum0
Maximum5
Zeros3254
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:08.150373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41008772
Coefficient of variation (CV)3.3370426
Kurtosis23.514837
Mean0.12288957
Median Absolute Deviation (MAD)0
Skewness4.2309303
Sum444
Variance0.16817194
MonotonicityNot monotonic
2024-04-06T17:16:08.404815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3254
90.1%
1 292
 
8.1%
2 54
 
1.5%
3 9
 
0.2%
4 3
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 3254
90.1%
1 292
 
8.1%
2 54
 
1.5%
3 9
 
0.2%
4 3
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 3
 
0.1%
3 9
 
0.2%
2 54
 
1.5%
1 292
 
8.1%
0 3254
90.1%

13세여자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1569333
Minimum0
Maximum20
Zeros3180
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:08.683254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59483259
Coefficient of variation (CV)3.790353
Kurtosis382.79603
Mean0.1569333
Median Absolute Deviation (MAD)0
Skewness14.016235
Sum567
Variance0.35382581
MonotonicityNot monotonic
2024-04-06T17:16:09.080861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3180
88.0%
1 356
 
9.9%
2 58
 
1.6%
3 10
 
0.3%
5 4
 
0.1%
4 2
 
0.1%
20 1
 
< 0.1%
11 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3180
88.0%
1 356
 
9.9%
2 58
 
1.6%
3 10
 
0.3%
4 2
 
0.1%
5 4
 
0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
11 1
 
< 0.1%
6 1
 
< 0.1%
5 4
 
0.1%
4 2
 
0.1%
3 10
 
0.3%
2 58
 
1.6%
1 356
 
9.9%
0 3180
88.0%

14세여자
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16468309
Minimum0
Maximum17
Zeros3149
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:09.392784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58046206
Coefficient of variation (CV)3.5247217
Kurtosis240.91907
Mean0.16468309
Median Absolute Deviation (MAD)0
Skewness11.109297
Sum595
Variance0.3369362
MonotonicityNot monotonic
2024-04-06T17:16:09.622042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3149
87.2%
1 390
 
10.8%
2 54
 
1.5%
3 13
 
0.4%
9 2
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
17 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3149
87.2%
1 390
 
10.8%
2 54
 
1.5%
3 13
 
0.4%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 13
 
0.4%
2 54
 
1.5%
1 390
 
10.8%
0 3149
87.2%

15세여자
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26902851
Minimum0
Maximum31
Zeros3067
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:09.853513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3288794
Coefficient of variation (CV)4.9395485
Kurtosis251.83066
Mean0.26902851
Median Absolute Deviation (MAD)0
Skewness13.937162
Sum972
Variance1.7659203
MonotonicityNot monotonic
2024-04-06T17:16:10.072430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3067
84.9%
1 422
 
11.7%
2 84
 
2.3%
3 10
 
0.3%
9 4
 
0.1%
5 4
 
0.1%
4 4
 
0.1%
17 3
 
0.1%
10 2
 
0.1%
14 2
 
0.1%
Other values (11) 11
 
0.3%
ValueCountFrequency (%)
0 3067
84.9%
1 422
 
11.7%
2 84
 
2.3%
3 10
 
0.3%
4 4
 
0.1%
5 4
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 4
 
0.1%
ValueCountFrequency (%)
31 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
19 1
 
< 0.1%
17 3
0.1%
16 1
 
< 0.1%
14 2
0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%

16세여자
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35067811
Minimum0
Maximum53
Zeros2955
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:10.319545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7837623
Coefficient of variation (CV)5.0866088
Kurtosis401.8389
Mean0.35067811
Median Absolute Deviation (MAD)0
Skewness17.128631
Sum1267
Variance3.1818081
MonotonicityNot monotonic
2024-04-06T17:16:10.591247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2955
81.8%
1 498
 
13.8%
2 95
 
2.6%
3 21
 
0.6%
4 10
 
0.3%
8 5
 
0.1%
9 4
 
0.1%
5 3
 
0.1%
6 3
 
0.1%
16 3
 
0.1%
Other values (12) 16
 
0.4%
ValueCountFrequency (%)
0 2955
81.8%
1 498
 
13.8%
2 95
 
2.6%
3 21
 
0.6%
4 10
 
0.3%
5 3
 
0.1%
6 3
 
0.1%
7 2
 
0.1%
8 5
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
53 1
 
< 0.1%
48 1
 
< 0.1%
27 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 2
0.1%
18 1
 
< 0.1%
16 3
0.1%
13 1
 
< 0.1%
12 2
0.1%

17세여자
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35787434
Minimum0
Maximum30
Zeros2900
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:10.930214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4725495
Coefficient of variation (CV)4.1147111
Kurtosis189.42955
Mean0.35787434
Median Absolute Deviation (MAD)0
Skewness12.011128
Sum1293
Variance2.1684021
MonotonicityNot monotonic
2024-04-06T17:16:11.297277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2900
80.3%
1 531
 
14.7%
2 105
 
2.9%
3 32
 
0.9%
4 11
 
0.3%
5 8
 
0.2%
15 4
 
0.1%
9 4
 
0.1%
6 3
 
0.1%
14 3
 
0.1%
Other values (9) 12
 
0.3%
ValueCountFrequency (%)
0 2900
80.3%
1 531
 
14.7%
2 105
 
2.9%
3 32
 
0.9%
4 11
 
0.3%
5 8
 
0.2%
6 3
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%
9 4
 
0.1%
ValueCountFrequency (%)
30 2
0.1%
29 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
19 2
0.1%
15 4
0.1%
14 3
0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
9 4
0.1%

18세여자
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6490451
Minimum0
Maximum119
Zeros2244
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:11.631050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum119
Range119
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.2273507
Coefficient of variation (CV)3.7763374
Kurtosis145.19276
Mean1.6490451
Median Absolute Deviation (MAD)0
Skewness10.477694
Sum5958
Variance38.779897
MonotonicityNot monotonic
2024-04-06T17:16:11.968514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2244
62.1%
1 630
 
17.4%
2 261
 
7.2%
3 119
 
3.3%
4 71
 
2.0%
5 56
 
1.5%
6 35
 
1.0%
7 34
 
0.9%
8 25
 
0.7%
10 17
 
0.5%
Other values (41) 121
 
3.3%
ValueCountFrequency (%)
0 2244
62.1%
1 630
 
17.4%
2 261
 
7.2%
3 119
 
3.3%
4 71
 
2.0%
5 56
 
1.5%
6 35
 
1.0%
7 34
 
0.9%
8 25
 
0.7%
9 12
 
0.3%
ValueCountFrequency (%)
119 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%
100 1
< 0.1%
93 1
< 0.1%
89 1
< 0.1%
70 1
< 0.1%
69 2
0.1%
58 1
< 0.1%
57 1
< 0.1%

19세여자
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0116247
Minimum0
Maximum231
Zeros1612
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:12.283596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile22
Maximum231
Range231
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.505993
Coefficient of variation (CV)3.2935414
Kurtosis74.879521
Mean5.0116247
Median Absolute Deviation (MAD)1
Skewness7.7245955
Sum18107
Variance272.44782
MonotonicityNot monotonic
2024-04-06T17:16:12.593482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1612
44.6%
1 620
 
17.2%
2 333
 
9.2%
3 210
 
5.8%
4 140
 
3.9%
5 98
 
2.7%
6 77
 
2.1%
7 53
 
1.5%
8 39
 
1.1%
9 33
 
0.9%
Other values (87) 398
 
11.0%
ValueCountFrequency (%)
0 1612
44.6%
1 620
 
17.2%
2 333
 
9.2%
3 210
 
5.8%
4 140
 
3.9%
5 98
 
2.7%
6 77
 
2.1%
7 53
 
1.5%
8 39
 
1.1%
9 33
 
0.9%
ValueCountFrequency (%)
231 1
< 0.1%
222 1
< 0.1%
207 1
< 0.1%
205 1
< 0.1%
198 1
< 0.1%
196 1
< 0.1%
190 1
< 0.1%
189 1
< 0.1%
188 1
< 0.1%
177 1
< 0.1%

20세여자
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.814005
Minimum0
Maximum365
Zeros1287
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:12.881827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile40
Maximum365
Range365
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.46026
Coefficient of variation (CV)3.00207
Kurtosis61.345197
Mean8.814005
Median Absolute Deviation (MAD)1
Skewness6.9010914
Sum31845
Variance700.14535
MonotonicityNot monotonic
2024-04-06T17:16:13.152578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1287
35.6%
1 539
14.9%
2 327
 
9.1%
3 218
 
6.0%
4 190
 
5.3%
5 128
 
3.5%
6 89
 
2.5%
7 76
 
2.1%
9 63
 
1.7%
8 58
 
1.6%
Other values (126) 638
17.7%
ValueCountFrequency (%)
0 1287
35.6%
1 539
14.9%
2 327
 
9.1%
3 218
 
6.0%
4 190
 
5.3%
5 128
 
3.5%
6 89
 
2.5%
7 76
 
2.1%
8 58
 
1.6%
9 63
 
1.7%
ValueCountFrequency (%)
365 1
< 0.1%
357 1
< 0.1%
327 1
< 0.1%
309 1
< 0.1%
306 1
< 0.1%
304 1
< 0.1%
267 1
< 0.1%
265 1
< 0.1%
264 2
0.1%
239 1
< 0.1%

21세여자
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.345973
Minimum0
Maximum451
Zeros1076
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:13.442666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile53
Maximum451
Range451
Interquartile range (IQR)8

Descriptive statistics

Standard deviation30.742949
Coefficient of variation (CV)2.7095912
Kurtosis57.996449
Mean11.345973
Median Absolute Deviation (MAD)2
Skewness6.5425719
Sum40993
Variance945.12889
MonotonicityNot monotonic
2024-04-06T17:16:14.251937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1076
29.8%
1 481
13.3%
2 293
 
8.1%
3 224
 
6.2%
4 183
 
5.1%
5 151
 
4.2%
6 125
 
3.5%
7 115
 
3.2%
8 83
 
2.3%
9 67
 
1.9%
Other values (152) 815
22.6%
ValueCountFrequency (%)
0 1076
29.8%
1 481
13.3%
2 293
 
8.1%
3 224
 
6.2%
4 183
 
5.1%
5 151
 
4.2%
6 125
 
3.5%
7 115
 
3.2%
8 83
 
2.3%
9 67
 
1.9%
ValueCountFrequency (%)
451 1
< 0.1%
399 1
< 0.1%
383 1
< 0.1%
373 1
< 0.1%
363 1
< 0.1%
316 1
< 0.1%
315 1
< 0.1%
314 1
< 0.1%
302 1
< 0.1%
287 1
< 0.1%

22세여자
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.8093
Minimum0
Maximum575
Zeros839
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:14.589031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q313
95-th percentile70
Maximum575
Range575
Interquartile range (IQR)12

Descriptive statistics

Standard deviation35.066389
Coefficient of variation (CV)2.3678627
Kurtosis58.811467
Mean14.8093
Median Absolute Deviation (MAD)4
Skewness6.2359756
Sum53506
Variance1229.6516
MonotonicityNot monotonic
2024-04-06T17:16:15.088029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 839
23.2%
1 437
 
12.1%
2 263
 
7.3%
3 218
 
6.0%
4 163
 
4.5%
5 139
 
3.8%
6 123
 
3.4%
7 118
 
3.3%
8 104
 
2.9%
9 95
 
2.6%
Other values (160) 1114
30.8%
ValueCountFrequency (%)
0 839
23.2%
1 437
12.1%
2 263
 
7.3%
3 218
 
6.0%
4 163
 
4.5%
5 139
 
3.8%
6 123
 
3.4%
7 118
 
3.3%
8 104
 
2.9%
9 95
 
2.6%
ValueCountFrequency (%)
575 1
< 0.1%
535 1
< 0.1%
399 1
< 0.1%
386 1
< 0.1%
367 1
< 0.1%
358 1
< 0.1%
332 1
< 0.1%
325 1
< 0.1%
311 1
< 0.1%
308 1
< 0.1%

23세여자
Real number (ℝ)

ZEROS 

Distinct198
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.201495
Minimum0
Maximum643
Zeros687
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:15.467741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q320
95-th percentile89
Maximum643
Range643
Interquartile range (IQR)19

Descriptive statistics

Standard deviation41.954404
Coefficient of variation (CV)2.076797
Kurtosis47.819694
Mean20.201495
Median Absolute Deviation (MAD)7
Skewness5.5133146
Sum72988
Variance1760.172
MonotonicityNot monotonic
2024-04-06T17:16:15.816130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 687
19.0%
1 363
 
10.0%
2 241
 
6.7%
3 172
 
4.8%
5 129
 
3.6%
4 115
 
3.2%
7 101
 
2.8%
8 97
 
2.7%
6 95
 
2.6%
9 93
 
2.6%
Other values (188) 1520
42.1%
ValueCountFrequency (%)
0 687
19.0%
1 363
10.0%
2 241
 
6.7%
3 172
 
4.8%
4 115
 
3.2%
5 129
 
3.6%
6 95
 
2.6%
7 101
 
2.8%
8 97
 
2.7%
9 93
 
2.6%
ValueCountFrequency (%)
643 1
< 0.1%
632 1
< 0.1%
506 1
< 0.1%
418 1
< 0.1%
398 1
< 0.1%
397 1
< 0.1%
347 1
< 0.1%
338 1
< 0.1%
337 1
< 0.1%
332 1
< 0.1%

24세여자
Real number (ℝ)

ZEROS 

Distinct216
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.063382
Minimum0
Maximum638
Zeros589
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:16.121441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q326
95-th percentile105
Maximum638
Range638
Interquartile range (IQR)25

Descriptive statistics

Standard deviation45.667034
Coefficient of variation (CV)1.8977812
Kurtosis37.63814
Mean24.063382
Median Absolute Deviation (MAD)9
Skewness4.8722351
Sum86941
Variance2085.478
MonotonicityNot monotonic
2024-04-06T17:16:16.460286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 589
 
16.3%
1 353
 
9.8%
2 220
 
6.1%
3 138
 
3.8%
4 128
 
3.5%
5 113
 
3.1%
6 98
 
2.7%
10 94
 
2.6%
7 84
 
2.3%
13 72
 
2.0%
Other values (206) 1724
47.7%
ValueCountFrequency (%)
0 589
16.3%
1 353
9.8%
2 220
 
6.1%
3 138
 
3.8%
4 128
 
3.5%
5 113
 
3.1%
6 98
 
2.7%
7 84
 
2.3%
8 65
 
1.8%
9 71
 
2.0%
ValueCountFrequency (%)
638 1
< 0.1%
626 1
< 0.1%
572 1
< 0.1%
475 1
< 0.1%
413 1
< 0.1%
393 1
< 0.1%
363 1
< 0.1%
362 1
< 0.1%
350 1
< 0.1%
342 1
< 0.1%

25세여자
Real number (ℝ)

ZEROS 

Distinct228
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.57736
Minimum0
Maximum664
Zeros511
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:16.907532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q330
95-th percentile116.4
Maximum664
Range664
Interquartile range (IQR)28

Descriptive statistics

Standard deviation50.202865
Coefficient of variation (CV)1.8204377
Kurtosis35.062311
Mean27.57736
Median Absolute Deviation (MAD)10
Skewness4.7255962
Sum99637
Variance2520.3277
MonotonicityNot monotonic
2024-04-06T17:16:17.252358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 511
 
14.1%
1 343
 
9.5%
2 200
 
5.5%
3 146
 
4.0%
6 109
 
3.0%
4 107
 
3.0%
5 98
 
2.7%
7 85
 
2.4%
11 73
 
2.0%
9 69
 
1.9%
Other values (218) 1872
51.8%
ValueCountFrequency (%)
0 511
14.1%
1 343
9.5%
2 200
 
5.5%
3 146
 
4.0%
4 107
 
3.0%
5 98
 
2.7%
6 109
 
3.0%
7 85
 
2.4%
8 67
 
1.9%
9 69
 
1.9%
ValueCountFrequency (%)
664 1
< 0.1%
643 1
< 0.1%
599 1
< 0.1%
585 1
< 0.1%
523 1
< 0.1%
446 1
< 0.1%
419 1
< 0.1%
404 1
< 0.1%
371 1
< 0.1%
347 1
< 0.1%

26세여자
Real number (ℝ)

ZEROS 

Distinct244
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.942707
Minimum0
Maximum793
Zeros471
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:17.733016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q337
95-th percentile132.4
Maximum793
Range793
Interquartile range (IQR)35

Descriptive statistics

Standard deviation56.374237
Coefficient of variation (CV)1.7648547
Kurtosis33.003338
Mean31.942707
Median Absolute Deviation (MAD)12
Skewness4.5975814
Sum115409
Variance3178.0546
MonotonicityNot monotonic
2024-04-06T17:16:18.236320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 471
 
13.0%
1 338
 
9.4%
2 195
 
5.4%
3 123
 
3.4%
5 91
 
2.5%
4 84
 
2.3%
6 81
 
2.2%
7 80
 
2.2%
8 71
 
2.0%
18 65
 
1.8%
Other values (234) 2014
55.7%
ValueCountFrequency (%)
0 471
13.0%
1 338
9.4%
2 195
5.4%
3 123
 
3.4%
4 84
 
2.3%
5 91
 
2.5%
6 81
 
2.2%
7 80
 
2.2%
8 71
 
2.0%
9 65
 
1.8%
ValueCountFrequency (%)
793 1
< 0.1%
632 1
< 0.1%
621 1
< 0.1%
604 1
< 0.1%
573 1
< 0.1%
534 1
< 0.1%
512 1
< 0.1%
459 1
< 0.1%
446 1
< 0.1%
441 1
< 0.1%

27세여자
Real number (ℝ)

ZEROS 

Distinct255
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.178799
Minimum0
Maximum703
Zeros431
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:18.691163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q341
95-th percentile135.4
Maximum703
Range703
Interquartile range (IQR)39

Descriptive statistics

Standard deviation58.024841
Coefficient of variation (CV)1.6976852
Kurtosis28.548996
Mean34.178799
Median Absolute Deviation (MAD)14
Skewness4.3280051
Sum123488
Variance3366.8822
MonotonicityNot monotonic
2024-04-06T17:16:19.184447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 431
 
11.9%
1 338
 
9.4%
2 196
 
5.4%
3 119
 
3.3%
4 98
 
2.7%
5 91
 
2.5%
6 70
 
1.9%
11 65
 
1.8%
10 61
 
1.7%
8 58
 
1.6%
Other values (245) 2086
57.7%
ValueCountFrequency (%)
0 431
11.9%
1 338
9.4%
2 196
5.4%
3 119
 
3.3%
4 98
 
2.7%
5 91
 
2.5%
6 70
 
1.9%
7 58
 
1.6%
8 58
 
1.6%
9 51
 
1.4%
ValueCountFrequency (%)
703 1
< 0.1%
698 1
< 0.1%
637 1
< 0.1%
587 1
< 0.1%
538 1
< 0.1%
534 1
< 0.1%
487 1
< 0.1%
473 1
< 0.1%
467 1
< 0.1%
457 1
< 0.1%

28세여자
Real number (ℝ)

ZEROS 

Distinct258
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.494049
Minimum0
Maximum655
Zeros408
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:19.766356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q345
95-th percentile140
Maximum655
Range655
Interquartile range (IQR)43

Descriptive statistics

Standard deviation58.466692
Coefficient of variation (CV)1.6020884
Kurtosis22.640148
Mean36.494049
Median Absolute Deviation (MAD)16
Skewness3.8779388
Sum131853
Variance3418.3541
MonotonicityNot monotonic
2024-04-06T17:16:20.089366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 408
 
11.3%
1 321
 
8.9%
2 201
 
5.6%
3 141
 
3.9%
4 84
 
2.3%
6 71
 
2.0%
5 67
 
1.9%
9 60
 
1.7%
11 59
 
1.6%
7 55
 
1.5%
Other values (248) 2146
59.4%
ValueCountFrequency (%)
0 408
11.3%
1 321
8.9%
2 201
5.6%
3 141
 
3.9%
4 84
 
2.3%
5 67
 
1.9%
6 71
 
2.0%
7 55
 
1.5%
8 48
 
1.3%
9 60
 
1.7%
ValueCountFrequency (%)
655 1
< 0.1%
639 1
< 0.1%
624 1
< 0.1%
532 1
< 0.1%
512 1
< 0.1%
499 1
< 0.1%
494 1
< 0.1%
468 1
< 0.1%
455 1
< 0.1%
454 1
< 0.1%

29세여자
Real number (ℝ)

ZEROS 

Distinct258
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.102131
Minimum0
Maximum686
Zeros397
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:20.442789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q347
95-th percentile140
Maximum686
Range686
Interquartile range (IQR)45

Descriptive statistics

Standard deviation57.480651
Coefficient of variation (CV)1.5492547
Kurtosis21.720901
Mean37.102131
Median Absolute Deviation (MAD)17
Skewness3.7434514
Sum134050
Variance3304.0253
MonotonicityNot monotonic
2024-04-06T17:16:20.825430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
11.0%
1 309
 
8.6%
2 204
 
5.6%
3 136
 
3.8%
4 94
 
2.6%
5 84
 
2.3%
9 66
 
1.8%
6 64
 
1.8%
8 57
 
1.6%
23 55
 
1.5%
Other values (248) 2147
59.4%
ValueCountFrequency (%)
0 397
11.0%
1 309
8.6%
2 204
5.6%
3 136
 
3.8%
4 94
 
2.6%
5 84
 
2.3%
6 64
 
1.8%
7 47
 
1.3%
8 57
 
1.6%
9 66
 
1.8%
ValueCountFrequency (%)
686 1
< 0.1%
613 1
< 0.1%
580 1
< 0.1%
511 1
< 0.1%
488 1
< 0.1%
472 1
< 0.1%
465 1
< 0.1%
460 1
< 0.1%
453 1
< 0.1%
446 1
< 0.1%

30세여자
Real number (ℝ)

ZEROS 

Distinct253
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.954332
Minimum0
Maximum652
Zeros404
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:21.270082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q348
95-th percentile136.4
Maximum652
Range652
Interquartile range (IQR)46

Descriptive statistics

Standard deviation55.116838
Coefficient of variation (CV)1.4914852
Kurtosis19.889694
Mean36.954332
Median Absolute Deviation (MAD)18
Skewness3.5288911
Sum133516
Variance3037.8659
MonotonicityNot monotonic
2024-04-06T17:16:21.576361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404
 
11.2%
1 327
 
9.1%
2 197
 
5.5%
3 129
 
3.6%
4 98
 
2.7%
6 69
 
1.9%
5 65
 
1.8%
7 62
 
1.7%
13 54
 
1.5%
8 51
 
1.4%
Other values (243) 2157
59.7%
ValueCountFrequency (%)
0 404
11.2%
1 327
9.1%
2 197
5.5%
3 129
 
3.6%
4 98
 
2.7%
5 65
 
1.8%
6 69
 
1.9%
7 62
 
1.7%
8 51
 
1.4%
9 44
 
1.2%
ValueCountFrequency (%)
652 1
< 0.1%
577 1
< 0.1%
552 1
< 0.1%
525 1
< 0.1%
521 1
< 0.1%
417 1
< 0.1%
405 1
< 0.1%
401 1
< 0.1%
391 1
< 0.1%
390 1
< 0.1%

31세여자
Real number (ℝ)

ZEROS 

Distinct247
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.369222
Minimum0
Maximum531
Zeros379
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:21.895744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q350
95-th percentile137
Maximum531
Range531
Interquartile range (IQR)47

Descriptive statistics

Standard deviation53.269726
Coefficient of variation (CV)1.4254973
Kurtosis14.866909
Mean37.369222
Median Absolute Deviation (MAD)19
Skewness3.1204299
Sum135015
Variance2837.6637
MonotonicityNot monotonic
2024-04-06T17:16:22.272681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 379
 
10.5%
1 312
 
8.6%
2 206
 
5.7%
3 148
 
4.1%
4 100
 
2.8%
5 69
 
1.9%
7 55
 
1.5%
6 55
 
1.5%
9 50
 
1.4%
8 48
 
1.3%
Other values (237) 2191
60.6%
ValueCountFrequency (%)
0 379
10.5%
1 312
8.6%
2 206
5.7%
3 148
 
4.1%
4 100
 
2.8%
5 69
 
1.9%
6 55
 
1.5%
7 55
 
1.5%
8 48
 
1.3%
9 50
 
1.4%
ValueCountFrequency (%)
531 1
< 0.1%
510 1
< 0.1%
494 1
< 0.1%
487 1
< 0.1%
447 1
< 0.1%
431 1
< 0.1%
378 1
< 0.1%
374 1
< 0.1%
371 1
< 0.1%
362 1
< 0.1%

32세여자
Real number (ℝ)

ZEROS 

Distinct230
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.584002
Minimum0
Maximum525
Zeros366
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:22.673747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q349
95-th percentile129
Maximum525
Range525
Interquartile range (IQR)47

Descriptive statistics

Standard deviation48.926182
Coefficient of variation (CV)1.3749488
Kurtosis14.299293
Mean35.584002
Median Absolute Deviation (MAD)18
Skewness2.9823718
Sum128565
Variance2393.7713
MonotonicityNot monotonic
2024-04-06T17:16:23.068964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 366
 
10.1%
1 338
 
9.4%
2 213
 
5.9%
3 141
 
3.9%
4 101
 
2.8%
5 74
 
2.0%
6 62
 
1.7%
18 54
 
1.5%
7 53
 
1.5%
9 51
 
1.4%
Other values (220) 2160
59.8%
ValueCountFrequency (%)
0 366
10.1%
1 338
9.4%
2 213
5.9%
3 141
 
3.9%
4 101
 
2.8%
5 74
 
2.0%
6 62
 
1.7%
7 53
 
1.5%
8 34
 
0.9%
9 51
 
1.4%
ValueCountFrequency (%)
525 1
< 0.1%
473 1
< 0.1%
472 1
< 0.1%
429 1
< 0.1%
381 1
< 0.1%
354 1
< 0.1%
345 1
< 0.1%
342 1
< 0.1%
336 1
< 0.1%
334 1
< 0.1%

33세여자
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.673125
Minimum0
Maximum415
Zeros377
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:23.416184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q344
95-th percentile113
Maximum415
Range415
Interquartile range (IQR)42

Descriptive statistics

Standard deviation42.249395
Coefficient of variation (CV)1.3339194
Kurtosis11.300827
Mean31.673125
Median Absolute Deviation (MAD)16
Skewness2.7037093
Sum114435
Variance1785.0113
MonotonicityNot monotonic
2024-04-06T17:16:24.337765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 377
 
10.4%
1 339
 
9.4%
2 219
 
6.1%
3 120
 
3.3%
4 111
 
3.1%
5 71
 
2.0%
6 71
 
2.0%
8 66
 
1.8%
9 53
 
1.5%
10 51
 
1.4%
Other values (199) 2135
59.1%
ValueCountFrequency (%)
0 377
10.4%
1 339
9.4%
2 219
6.1%
3 120
 
3.3%
4 111
 
3.1%
5 71
 
2.0%
6 71
 
2.0%
7 50
 
1.4%
8 66
 
1.8%
9 53
 
1.5%
ValueCountFrequency (%)
415 1
< 0.1%
384 1
< 0.1%
360 1
< 0.1%
336 1
< 0.1%
324 1
< 0.1%
307 1
< 0.1%
296 1
< 0.1%
294 1
< 0.1%
288 1
< 0.1%
287 1
< 0.1%

34세여자
Real number (ℝ)

ZEROS 

Distinct195
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.067534
Minimum0
Maximum366
Zeros384
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:24.702446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q343
95-th percentile105
Maximum366
Range366
Interquartile range (IQR)41

Descriptive statistics

Standard deviation38.79766
Coefficient of variation (CV)1.2903506
Kurtosis9.5305738
Mean30.067534
Median Absolute Deviation (MAD)16
Skewness2.4959446
Sum108634
Variance1505.2585
MonotonicityNot monotonic
2024-04-06T17:16:25.064359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
 
10.6%
1 349
 
9.7%
2 198
 
5.5%
3 157
 
4.3%
4 94
 
2.6%
5 72
 
2.0%
6 72
 
2.0%
9 58
 
1.6%
13 53
 
1.5%
7 50
 
1.4%
Other values (185) 2126
58.8%
ValueCountFrequency (%)
0 384
10.6%
1 349
9.7%
2 198
5.5%
3 157
4.3%
4 94
 
2.6%
5 72
 
2.0%
6 72
 
2.0%
7 50
 
1.4%
8 45
 
1.2%
9 58
 
1.6%
ValueCountFrequency (%)
366 1
< 0.1%
321 1
< 0.1%
313 1
< 0.1%
305 1
< 0.1%
298 1
< 0.1%
283 1
< 0.1%
277 1
< 0.1%
265 1
< 0.1%
249 1
< 0.1%
238 1
< 0.1%

35세여자
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.840576
Minimum0
Maximum323
Zeros356
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:25.568460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q342
95-th percentile101
Maximum323
Range323
Interquartile range (IQR)40

Descriptive statistics

Standard deviation36.204577
Coefficient of variation (CV)1.2553347
Kurtosis7.7526414
Mean28.840576
Median Absolute Deviation (MAD)15
Skewness2.2842182
Sum104201
Variance1310.7714
MonotonicityNot monotonic
2024-04-06T17:16:26.041183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356
 
9.9%
1 350
 
9.7%
2 222
 
6.1%
3 151
 
4.2%
4 111
 
3.1%
5 73
 
2.0%
6 72
 
2.0%
7 64
 
1.8%
8 56
 
1.5%
10 51
 
1.4%
Other values (175) 2107
58.3%
ValueCountFrequency (%)
0 356
9.9%
1 350
9.7%
2 222
6.1%
3 151
4.2%
4 111
 
3.1%
5 73
 
2.0%
6 72
 
2.0%
7 64
 
1.8%
8 56
 
1.5%
9 36
 
1.0%
ValueCountFrequency (%)
323 1
< 0.1%
283 1
< 0.1%
279 1
< 0.1%
265 1
< 0.1%
262 1
< 0.1%
253 1
< 0.1%
233 1
< 0.1%
229 1
< 0.1%
225 1
< 0.1%
224 1
< 0.1%

36세여자
Real number (ℝ)

ZEROS 

Distinct180
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.004428
Minimum0
Maximum305
Zeros360
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:26.391129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q341
95-th percentile97
Maximum305
Range305
Interquartile range (IQR)39

Descriptive statistics

Standard deviation34.460057
Coefficient of variation (CV)1.2305217
Kurtosis7.577442
Mean28.004428
Median Absolute Deviation (MAD)16
Skewness2.237939
Sum101180
Variance1187.4956
MonotonicityNot monotonic
2024-04-06T17:16:26.705776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 360
 
10.0%
1 351
 
9.7%
2 216
 
6.0%
3 123
 
3.4%
5 90
 
2.5%
4 84
 
2.3%
6 78
 
2.2%
8 73
 
2.0%
12 64
 
1.8%
7 58
 
1.6%
Other values (170) 2116
58.6%
ValueCountFrequency (%)
0 360
10.0%
1 351
9.7%
2 216
6.0%
3 123
 
3.4%
4 84
 
2.3%
5 90
 
2.5%
6 78
 
2.2%
7 58
 
1.6%
8 73
 
2.0%
9 45
 
1.2%
ValueCountFrequency (%)
305 1
< 0.1%
275 1
< 0.1%
269 1
< 0.1%
266 1
< 0.1%
248 1
< 0.1%
245 1
< 0.1%
235 1
< 0.1%
231 1
< 0.1%
221 1
< 0.1%
220 1
< 0.1%

37세여자
Real number (ℝ)

ZEROS 

Distinct179
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.835594
Minimum0
Maximum289
Zeros362
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:27.121853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q340
95-th percentile93
Maximum289
Range289
Interquartile range (IQR)37

Descriptive statistics

Standard deviation33.942946
Coefficient of variation (CV)1.219408
Kurtosis7.2782747
Mean27.835594
Median Absolute Deviation (MAD)15
Skewness2.1942552
Sum100570
Variance1152.1236
MonotonicityNot monotonic
2024-04-06T17:16:27.521372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 362
 
10.0%
1 303
 
8.4%
2 217
 
6.0%
3 150
 
4.2%
4 107
 
3.0%
5 90
 
2.5%
6 71
 
2.0%
7 64
 
1.8%
11 59
 
1.6%
9 59
 
1.6%
Other values (169) 2131
59.0%
ValueCountFrequency (%)
0 362
10.0%
1 303
8.4%
2 217
6.0%
3 150
4.2%
4 107
 
3.0%
5 90
 
2.5%
6 71
 
2.0%
7 64
 
1.8%
8 46
 
1.3%
9 59
 
1.6%
ValueCountFrequency (%)
289 1
< 0.1%
284 1
< 0.1%
279 1
< 0.1%
253 1
< 0.1%
250 1
< 0.1%
233 1
< 0.1%
231 1
< 0.1%
229 1
< 0.1%
224 1
< 0.1%
193 1
< 0.1%

38세여자
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.394409
Minimum0
Maximum302
Zeros332
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:27.845670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q342
95-th percentile96
Maximum302
Range302
Interquartile range (IQR)39

Descriptive statistics

Standard deviation33.940232
Coefficient of variation (CV)1.1953139
Kurtosis7.0376998
Mean28.394409
Median Absolute Deviation (MAD)16
Skewness2.1245826
Sum102589
Variance1151.9394
MonotonicityNot monotonic
2024-04-06T17:16:28.143021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 332
 
9.2%
1 304
 
8.4%
2 232
 
6.4%
3 150
 
4.2%
4 118
 
3.3%
5 92
 
2.5%
7 65
 
1.8%
6 65
 
1.8%
9 55
 
1.5%
14 54
 
1.5%
Other values (164) 2146
59.4%
ValueCountFrequency (%)
0 332
9.2%
1 304
8.4%
2 232
6.4%
3 150
4.2%
4 118
 
3.3%
5 92
 
2.5%
6 65
 
1.8%
7 65
 
1.8%
8 50
 
1.4%
9 55
 
1.5%
ValueCountFrequency (%)
302 1
< 0.1%
288 1
< 0.1%
261 1
< 0.1%
260 1
< 0.1%
245 1
< 0.1%
234 1
< 0.1%
230 1
< 0.1%
225 1
< 0.1%
222 1
< 0.1%
207 1
< 0.1%

39세여자
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.685026
Minimum0
Maximum295
Zeros307
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:28.447287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median18
Q342
95-th percentile94
Maximum295
Range295
Interquartile range (IQR)39

Descriptive statistics

Standard deviation33.46654
Coefficient of variation (CV)1.1666902
Kurtosis6.5617266
Mean28.685026
Median Absolute Deviation (MAD)16
Skewness2.0504602
Sum103639
Variance1120.0093
MonotonicityNot monotonic
2024-04-06T17:16:28.732349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 307
 
8.5%
1 284
 
7.9%
2 226
 
6.3%
3 161
 
4.5%
4 125
 
3.5%
5 88
 
2.4%
6 76
 
2.1%
7 68
 
1.9%
8 53
 
1.5%
21 50
 
1.4%
Other values (162) 2175
60.2%
ValueCountFrequency (%)
0 307
8.5%
1 284
7.9%
2 226
6.3%
3 161
4.5%
4 125
3.5%
5 88
 
2.4%
6 76
 
2.1%
7 68
 
1.9%
8 53
 
1.5%
9 49
 
1.4%
ValueCountFrequency (%)
295 1
< 0.1%
279 1
< 0.1%
273 1
< 0.1%
242 1
< 0.1%
234 1
< 0.1%
231 1
< 0.1%
223 1
< 0.1%
207 1
< 0.1%
206 1
< 0.1%
205 1
< 0.1%

40세여자
Real number (ℝ)

ZEROS 

Distinct181
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.344035
Minimum0
Maximum319
Zeros260
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:28.995139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q349
95-th percentile106
Maximum319
Range319
Interquartile range (IQR)46

Descriptive statistics

Standard deviation37.116206
Coefficient of variation (CV)1.1475441
Kurtosis6.0140154
Mean32.344035
Median Absolute Deviation (MAD)18
Skewness1.963214
Sum116859
Variance1377.6128
MonotonicityNot monotonic
2024-04-06T17:16:29.242957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 285
 
7.9%
0 260
 
7.2%
2 210
 
5.8%
3 163
 
4.5%
4 118
 
3.3%
5 93
 
2.6%
6 69
 
1.9%
7 62
 
1.7%
16 55
 
1.5%
19 54
 
1.5%
Other values (171) 2244
62.1%
ValueCountFrequency (%)
0 260
7.2%
1 285
7.9%
2 210
5.8%
3 163
4.5%
4 118
3.3%
5 93
 
2.6%
6 69
 
1.9%
7 62
 
1.7%
8 52
 
1.4%
9 46
 
1.3%
ValueCountFrequency (%)
319 1
< 0.1%
300 1
< 0.1%
280 1
< 0.1%
272 1
< 0.1%
264 1
< 0.1%
259 1
< 0.1%
257 1
< 0.1%
244 1
< 0.1%
233 1
< 0.1%
228 1
< 0.1%

41세여자
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.798229
Minimum0
Maximum362
Zeros232
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:29.532491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q354
95-th percentile113
Maximum362
Range362
Interquartile range (IQR)50

Descriptive statistics

Standard deviation40.712453
Coefficient of variation (CV)1.1372756
Kurtosis6.1897924
Mean35.798229
Median Absolute Deviation (MAD)21
Skewness1.9660532
Sum129339
Variance1657.5039
MonotonicityNot monotonic
2024-04-06T17:16:29.835322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 251
 
6.9%
0 232
 
6.4%
2 226
 
6.3%
3 159
 
4.4%
4 124
 
3.4%
5 82
 
2.3%
6 77
 
2.1%
8 58
 
1.6%
7 57
 
1.6%
9 52
 
1.4%
Other values (191) 2295
63.5%
ValueCountFrequency (%)
0 232
6.4%
1 251
6.9%
2 226
6.3%
3 159
4.4%
4 124
3.4%
5 82
 
2.3%
6 77
 
2.1%
7 57
 
1.6%
8 58
 
1.6%
9 52
 
1.4%
ValueCountFrequency (%)
362 1
< 0.1%
349 1
< 0.1%
301 1
< 0.1%
290 1
< 0.1%
279 1
< 0.1%
276 1
< 0.1%
267 1
< 0.1%
261 1
< 0.1%
255 1
< 0.1%
251 1
< 0.1%

42세여자
Real number (ℝ)

ZEROS 

Distinct208
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.833656
Minimum0
Maximum360
Zeros196
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:30.205034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q357
95-th percentile122
Maximum360
Range360
Interquartile range (IQR)53

Descriptive statistics

Standard deviation42.328022
Coefficient of variation (CV)1.1187928
Kurtosis5.4003443
Mean37.833656
Median Absolute Deviation (MAD)23
Skewness1.8730455
Sum136693
Variance1791.6614
MonotonicityNot monotonic
2024-04-06T17:16:30.499698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 272
 
7.5%
2 215
 
6.0%
0 196
 
5.4%
3 144
 
4.0%
4 113
 
3.1%
5 90
 
2.5%
6 71
 
2.0%
7 60
 
1.7%
12 56
 
1.5%
10 55
 
1.5%
Other values (198) 2341
64.8%
ValueCountFrequency (%)
0 196
5.4%
1 272
7.5%
2 215
6.0%
3 144
4.0%
4 113
3.1%
5 90
 
2.5%
6 71
 
2.0%
7 60
 
1.7%
8 44
 
1.2%
9 42
 
1.2%
ValueCountFrequency (%)
360 1
< 0.1%
344 1
< 0.1%
319 1
< 0.1%
299 1
< 0.1%
292 1
< 0.1%
285 1
< 0.1%
262 1
< 0.1%
253 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%

43세여자
Real number (ℝ)

ZEROS 

Distinct198
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.268752
Minimum0
Maximum388
Zeros199
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:30.985580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q357
95-th percentile117
Maximum388
Range388
Interquartile range (IQR)53

Descriptive statistics

Standard deviation41.532546
Coefficient of variation (CV)1.1144067
Kurtosis6.9489137
Mean37.268752
Median Absolute Deviation (MAD)22
Skewness1.9856726
Sum134652
Variance1724.9524
MonotonicityNot monotonic
2024-04-06T17:16:31.381388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 250
 
6.9%
2 206
 
5.7%
0 199
 
5.5%
3 170
 
4.7%
4 110
 
3.0%
5 98
 
2.7%
6 68
 
1.9%
7 65
 
1.8%
8 54
 
1.5%
9 51
 
1.4%
Other values (188) 2342
64.8%
ValueCountFrequency (%)
0 199
5.5%
1 250
6.9%
2 206
5.7%
3 170
4.7%
4 110
3.0%
5 98
 
2.7%
6 68
 
1.9%
7 65
 
1.8%
8 54
 
1.5%
9 51
 
1.4%
ValueCountFrequency (%)
388 1
< 0.1%
377 1
< 0.1%
344 1
< 0.1%
324 1
< 0.1%
295 1
< 0.1%
281 1
< 0.1%
267 1
< 0.1%
262 1
< 0.1%
260 2
0.1%
258 1
< 0.1%

44세여자
Real number (ℝ)

ZEROS 

Distinct200
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.944644
Minimum0
Maximum355
Zeros197
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:31.729965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q358
95-th percentile117
Maximum355
Range355
Interquartile range (IQR)54

Descriptive statistics

Standard deviation41.830298
Coefficient of variation (CV)1.1024032
Kurtosis5.8372283
Mean37.944644
Median Absolute Deviation (MAD)23
Skewness1.8869214
Sum137094
Variance1749.7738
MonotonicityNot monotonic
2024-04-06T17:16:32.178123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 231
 
6.4%
2 222
 
6.1%
0 197
 
5.5%
3 159
 
4.4%
4 122
 
3.4%
5 89
 
2.5%
6 65
 
1.8%
7 64
 
1.8%
10 53
 
1.5%
8 53
 
1.5%
Other values (190) 2358
65.3%
ValueCountFrequency (%)
0 197
5.5%
1 231
6.4%
2 222
6.1%
3 159
4.4%
4 122
3.4%
5 89
 
2.5%
6 65
 
1.8%
7 64
 
1.8%
8 53
 
1.5%
9 41
 
1.1%
ValueCountFrequency (%)
355 1
< 0.1%
346 1
< 0.1%
326 1
< 0.1%
304 1
< 0.1%
303 1
< 0.1%
283 1
< 0.1%
279 1
< 0.1%
276 2
0.1%
257 1
< 0.1%
245 1
< 0.1%

45세여자
Real number (ℝ)

ZEROS 

Distinct184
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.525048
Minimum0
Maximum332
Zeros215
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:32.463663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q353
95-th percentile106
Maximum332
Range332
Interquartile range (IQR)49

Descriptive statistics

Standard deviation37.834975
Coefficient of variation (CV)1.0958703
Kurtosis5.9634375
Mean34.525048
Median Absolute Deviation (MAD)21
Skewness1.8837471
Sum124739
Variance1431.4853
MonotonicityNot monotonic
2024-04-06T17:16:32.743721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 232
 
6.4%
2 230
 
6.4%
0 215
 
6.0%
3 143
 
4.0%
4 126
 
3.5%
5 112
 
3.1%
8 60
 
1.7%
6 60
 
1.7%
11 58
 
1.6%
7 50
 
1.4%
Other values (174) 2327
64.4%
ValueCountFrequency (%)
0 215
6.0%
1 232
6.4%
2 230
6.4%
3 143
4.0%
4 126
3.5%
5 112
3.1%
6 60
 
1.7%
7 50
 
1.4%
8 60
 
1.7%
9 47
 
1.3%
ValueCountFrequency (%)
332 1
< 0.1%
319 1
< 0.1%
311 1
< 0.1%
288 1
< 0.1%
261 1
< 0.1%
255 1
< 0.1%
242 1
< 0.1%
237 1
< 0.1%
235 1
< 0.1%
231 1
< 0.1%

46세여자
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.015223
Minimum0
Maximum344
Zeros168
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:33.518000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median25
Q355
95-th percentile109
Maximum344
Range344
Interquartile range (IQR)50

Descriptive statistics

Standard deviation38.7445
Coefficient of variation (CV)1.0757812
Kurtosis5.9078384
Mean36.015223
Median Absolute Deviation (MAD)22
Skewness1.8573396
Sum130123
Variance1501.1363
MonotonicityNot monotonic
2024-04-06T17:16:33.878103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 234
 
6.5%
2 208
 
5.8%
0 168
 
4.6%
3 159
 
4.4%
4 118
 
3.3%
5 100
 
2.8%
6 81
 
2.2%
8 59
 
1.6%
7 57
 
1.6%
10 50
 
1.4%
Other values (175) 2379
65.8%
ValueCountFrequency (%)
0 168
4.6%
1 234
6.5%
2 208
5.8%
3 159
4.4%
4 118
3.3%
5 100
2.8%
6 81
 
2.2%
7 57
 
1.6%
8 59
 
1.6%
9 47
 
1.3%
ValueCountFrequency (%)
344 1
< 0.1%
329 1
< 0.1%
303 1
< 0.1%
292 1
< 0.1%
279 1
< 0.1%
273 1
< 0.1%
265 1
< 0.1%
247 1
< 0.1%
236 1
< 0.1%
231 1
< 0.1%

47세여자
Real number (ℝ)

ZEROS 

Distinct182
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.962358
Minimum0
Maximum355
Zeros160
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:34.211318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median25
Q354
95-th percentile103
Maximum355
Range355
Interquartile range (IQR)49

Descriptive statistics

Standard deviation37.050939
Coefficient of variation (CV)1.059738
Kurtosis5.6560571
Mean34.962358
Median Absolute Deviation (MAD)22
Skewness1.788103
Sum126319
Variance1372.7721
MonotonicityNot monotonic
2024-04-06T17:16:34.565799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 227
 
6.3%
2 210
 
5.8%
3 171
 
4.7%
0 160
 
4.4%
4 135
 
3.7%
5 97
 
2.7%
6 70
 
1.9%
7 66
 
1.8%
8 58
 
1.6%
9 54
 
1.5%
Other values (172) 2365
65.5%
ValueCountFrequency (%)
0 160
4.4%
1 227
6.3%
2 210
5.8%
3 171
4.7%
4 135
3.7%
5 97
2.7%
6 70
 
1.9%
7 66
 
1.8%
8 58
 
1.6%
9 54
 
1.5%
ValueCountFrequency (%)
355 1
< 0.1%
296 1
< 0.1%
285 1
< 0.1%
283 1
< 0.1%
258 1
< 0.1%
255 1
< 0.1%
232 1
< 0.1%
224 1
< 0.1%
219 1
< 0.1%
218 1
< 0.1%

48세여자
Real number (ℝ)

ZEROS 

Distinct194
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.437033
Minimum0
Maximum347
Zeros139
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:34.895773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median26
Q357
95-th percentile109
Maximum347
Range347
Interquartile range (IQR)52

Descriptive statistics

Standard deviation39.174097
Coefficient of variation (CV)1.0463996
Kurtosis4.8204948
Mean37.437033
Median Absolute Deviation (MAD)23
Skewness1.7254591
Sum135260
Variance1534.6099
MonotonicityNot monotonic
2024-04-06T17:16:35.154228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 191
 
5.3%
1 181
 
5.0%
3 171
 
4.7%
4 142
 
3.9%
0 139
 
3.8%
5 108
 
3.0%
6 98
 
2.7%
7 54
 
1.5%
9 53
 
1.5%
11 52
 
1.4%
Other values (184) 2424
67.1%
ValueCountFrequency (%)
0 139
3.8%
1 181
5.0%
2 191
5.3%
3 171
4.7%
4 142
3.9%
5 108
3.0%
6 98
2.7%
7 54
 
1.5%
8 52
 
1.4%
9 53
 
1.5%
ValueCountFrequency (%)
347 1
< 0.1%
288 1
< 0.1%
276 1
< 0.1%
273 1
< 0.1%
263 1
< 0.1%
258 1
< 0.1%
256 1
< 0.1%
242 1
< 0.1%
235 1
< 0.1%
234 1
< 0.1%

49세여자
Real number (ℝ)

ZEROS 

Distinct194
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.321616
Minimum0
Maximum332
Zeros91
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:35.455118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median29
Q362
95-th percentile117
Maximum332
Range332
Interquartile range (IQR)56

Descriptive statistics

Standard deviation41.508236
Coefficient of variation (CV)1.0294289
Kurtosis4.2685452
Mean40.321616
Median Absolute Deviation (MAD)25
Skewness1.6426629
Sum145682
Variance1722.9336
MonotonicityNot monotonic
2024-04-06T17:16:35.716856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 203
 
5.6%
1 186
 
5.1%
4 153
 
4.2%
3 140
 
3.9%
5 109
 
3.0%
0 91
 
2.5%
7 89
 
2.5%
6 71
 
2.0%
9 51
 
1.4%
8 49
 
1.4%
Other values (184) 2471
68.4%
ValueCountFrequency (%)
0 91
2.5%
1 186
5.1%
2 203
5.6%
3 140
3.9%
4 153
4.2%
5 109
3.0%
6 71
 
2.0%
7 89
2.5%
8 49
 
1.4%
9 51
 
1.4%
ValueCountFrequency (%)
332 1
< 0.1%
324 1
< 0.1%
307 1
< 0.1%
294 1
< 0.1%
266 1
< 0.1%
260 1
< 0.1%
253 1
< 0.1%
248 1
< 0.1%
246 2
0.1%
244 1
< 0.1%

50세여자
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.657348
Minimum0
Maximum356
Zeros94
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:35.975630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median32
Q368
95-th percentile124
Maximum356
Range356
Interquartile range (IQR)61

Descriptive statistics

Standard deviation44.00419
Coefficient of variation (CV)1.0079446
Kurtosis3.8338587
Mean43.657348
Median Absolute Deviation (MAD)27
Skewness1.5640772
Sum157734
Variance1936.3687
MonotonicityNot monotonic
2024-04-06T17:16:36.273730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 159
 
4.4%
4 142
 
3.9%
1 136
 
3.8%
3 135
 
3.7%
5 118
 
3.3%
6 105
 
2.9%
0 94
 
2.6%
7 81
 
2.2%
8 71
 
2.0%
9 50
 
1.4%
Other values (199) 2522
69.8%
ValueCountFrequency (%)
0 94
2.6%
1 136
3.8%
2 159
4.4%
3 135
3.7%
4 142
3.9%
5 118
3.3%
6 105
2.9%
7 81
2.2%
8 71
2.0%
9 50
 
1.4%
ValueCountFrequency (%)
356 1
< 0.1%
320 1
< 0.1%
312 1
< 0.1%
304 1
< 0.1%
288 1
< 0.1%
281 1
< 0.1%
267 1
< 0.1%
265 2
0.1%
263 1
< 0.1%
255 1
< 0.1%

51세여자
Real number (ℝ)

ZEROS 

Distinct208
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.784943
Minimum0
Maximum325
Zeros61
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:36.544527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median33
Q368
95-th percentile124
Maximum325
Range325
Interquartile range (IQR)61

Descriptive statistics

Standard deviation43.382796
Coefficient of variation (CV)0.99081539
Kurtosis3.5644093
Mean43.784943
Median Absolute Deviation (MAD)28
Skewness1.5274784
Sum158195
Variance1882.067
MonotonicityNot monotonic
2024-04-06T17:16:36.858552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 160
 
4.4%
4 150
 
4.2%
3 137
 
3.8%
1 127
 
3.5%
5 115
 
3.2%
6 92
 
2.5%
7 88
 
2.4%
8 73
 
2.0%
0 61
 
1.7%
9 59
 
1.6%
Other values (198) 2551
70.6%
ValueCountFrequency (%)
0 61
 
1.7%
1 127
3.5%
2 160
4.4%
3 137
3.8%
4 150
4.2%
5 115
3.2%
6 92
2.5%
7 88
2.4%
8 73
2.0%
9 59
 
1.6%
ValueCountFrequency (%)
325 1
< 0.1%
302 1
< 0.1%
298 1
< 0.1%
297 1
< 0.1%
280 1
< 0.1%
272 1
< 0.1%
270 1
< 0.1%
268 1
< 0.1%
265 1
< 0.1%
261 1
< 0.1%

52세여자
Real number (ℝ)

ZEROS 

Distinct217
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.819817
Minimum0
Maximum349
Zeros73
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:37.148542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median34
Q370
95-th percentile130
Maximum349
Range349
Interquartile range (IQR)63

Descriptive statistics

Standard deviation44.827285
Coefficient of variation (CV)0.97833837
Kurtosis3.5013435
Mean45.819817
Median Absolute Deviation (MAD)28
Skewness1.4908244
Sum165547
Variance2009.4855
MonotonicityNot monotonic
2024-04-06T17:16:37.435364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 137
 
3.8%
2 135
 
3.7%
4 133
 
3.7%
5 125
 
3.5%
6 116
 
3.2%
1 96
 
2.7%
7 95
 
2.6%
0 73
 
2.0%
8 58
 
1.6%
9 54
 
1.5%
Other values (207) 2591
71.7%
ValueCountFrequency (%)
0 73
2.0%
1 96
2.7%
2 135
3.7%
3 137
3.8%
4 133
3.7%
5 125
3.5%
6 116
3.2%
7 95
2.6%
8 58
1.6%
9 54
 
1.5%
ValueCountFrequency (%)
349 1
< 0.1%
332 1
< 0.1%
315 1
< 0.1%
310 1
< 0.1%
290 1
< 0.1%
284 1
< 0.1%
278 1
< 0.1%
271 2
0.1%
270 1
< 0.1%
266 1
< 0.1%

53세여자
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.807916
Minimum0
Maximum324
Zeros44
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:37.783811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median36
Q371
95-th percentile134.4
Maximum324
Range324
Interquartile range (IQR)63

Descriptive statistics

Standard deviation45.115107
Coefficient of variation (CV)0.96383498
Kurtosis2.6952332
Mean46.807916
Median Absolute Deviation (MAD)29
Skewness1.4000306
Sum169117
Variance2035.3728
MonotonicityNot monotonic
2024-04-06T17:16:38.082838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 145
 
4.0%
3 130
 
3.6%
5 115
 
3.2%
2 113
 
3.1%
6 103
 
2.9%
7 98
 
2.7%
1 85
 
2.4%
8 83
 
2.3%
9 65
 
1.8%
10 65
 
1.8%
Other values (203) 2611
72.3%
ValueCountFrequency (%)
0 44
 
1.2%
1 85
2.4%
2 113
3.1%
3 130
3.6%
4 145
4.0%
5 115
3.2%
6 103
2.9%
7 98
2.7%
8 83
2.3%
9 65
1.8%
ValueCountFrequency (%)
324 1
< 0.1%
293 1
< 0.1%
289 2
0.1%
288 1
< 0.1%
285 1
< 0.1%
281 1
< 0.1%
256 2
0.1%
252 1
< 0.1%
246 1
< 0.1%
243 1
< 0.1%

54세여자
Real number (ℝ)

ZEROS 

Distinct203
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.050374
Minimum0
Maximum341
Zeros38
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:38.408650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median36
Q370
95-th percentile128
Maximum341
Range341
Interquartile range (IQR)61

Descriptive statistics

Standard deviation43.418662
Coefficient of variation (CV)0.94285145
Kurtosis3.0663037
Mean46.050374
Median Absolute Deviation (MAD)29
Skewness1.4151218
Sum166380
Variance1885.1802
MonotonicityNot monotonic
2024-04-06T17:16:38.742617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 123
 
3.4%
4 122
 
3.4%
5 119
 
3.3%
3 113
 
3.1%
7 107
 
3.0%
2 92
 
2.5%
8 84
 
2.3%
9 75
 
2.1%
1 67
 
1.9%
10 58
 
1.6%
Other values (193) 2653
73.4%
ValueCountFrequency (%)
0 38
 
1.1%
1 67
1.9%
2 92
2.5%
3 113
3.1%
4 122
3.4%
5 119
3.3%
6 123
3.4%
7 107
3.0%
8 84
2.3%
9 75
2.1%
ValueCountFrequency (%)
341 1
< 0.1%
315 1
< 0.1%
310 1
< 0.1%
295 1
< 0.1%
293 1
< 0.1%
268 2
0.1%
262 1
< 0.1%
249 1
< 0.1%
246 1
< 0.1%
235 1
< 0.1%

55세여자
Real number (ℝ)

Distinct210
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.685857
Minimum0
Maximum335
Zeros33
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:39.079167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median37
Q372
95-th percentile130
Maximum335
Range335
Interquartile range (IQR)62

Descriptive statistics

Standard deviation44.299789
Coefficient of variation (CV)0.92899221
Kurtosis2.7479384
Mean47.685857
Median Absolute Deviation (MAD)29
Skewness1.3921619
Sum172289
Variance1962.4713
MonotonicityNot monotonic
2024-04-06T17:16:39.434610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 118
 
3.3%
4 112
 
3.1%
8 99
 
2.7%
10 96
 
2.7%
3 95
 
2.6%
7 94
 
2.6%
6 91
 
2.5%
2 75
 
2.1%
9 74
 
2.0%
11 61
 
1.7%
Other values (200) 2698
74.7%
ValueCountFrequency (%)
0 33
 
0.9%
1 49
1.4%
2 75
2.1%
3 95
2.6%
4 112
3.1%
5 118
3.3%
6 91
2.5%
7 94
2.6%
8 99
2.7%
9 74
2.0%
ValueCountFrequency (%)
335 1
< 0.1%
318 1
< 0.1%
307 1
< 0.1%
276 1
< 0.1%
270 1
< 0.1%
263 1
< 0.1%
261 1
< 0.1%
259 1
< 0.1%
247 1
< 0.1%
238 1
< 0.1%

56세여자
Real number (ℝ)

Distinct192
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.281207
Minimum0
Maximum303
Zeros31
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:39.819991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median34
Q366
95-th percentile120
Maximum303
Range303
Interquartile range (IQR)56

Descriptive statistics

Standard deviation40.214273
Coefficient of variation (CV)0.90815667
Kurtosis2.6538101
Mean44.281207
Median Absolute Deviation (MAD)26
Skewness1.3553652
Sum159988
Variance1617.1878
MonotonicityNot monotonic
2024-04-06T17:16:40.143038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 123
 
3.4%
6 112
 
3.1%
4 110
 
3.0%
3 98
 
2.7%
9 89
 
2.5%
7 89
 
2.5%
8 86
 
2.4%
2 77
 
2.1%
11 65
 
1.8%
14 63
 
1.7%
Other values (182) 2701
74.8%
ValueCountFrequency (%)
0 31
 
0.9%
1 37
 
1.0%
2 77
2.1%
3 98
2.7%
4 110
3.0%
5 123
3.4%
6 112
3.1%
7 89
2.5%
8 86
2.4%
9 89
2.5%
ValueCountFrequency (%)
303 1
< 0.1%
299 1
< 0.1%
271 1
< 0.1%
269 1
< 0.1%
254 1
< 0.1%
249 1
< 0.1%
242 1
< 0.1%
240 1
< 0.1%
227 2
0.1%
206 1
< 0.1%

57세여자
Real number (ℝ)

Distinct188
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.419873
Minimum0
Maximum299
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:40.388118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median33
Q364
95-th percentile114
Maximum299
Range299
Interquartile range (IQR)54

Descriptive statistics

Standard deviation38.2543
Coefficient of variation (CV)0.90180139
Kurtosis3.0343168
Mean42.419873
Median Absolute Deviation (MAD)24
Skewness1.4159111
Sum153263
Variance1463.3915
MonotonicityNot monotonic
2024-04-06T17:16:40.687155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 120
 
3.3%
6 111
 
3.1%
8 108
 
3.0%
9 100
 
2.8%
4 90
 
2.5%
3 88
 
2.4%
7 87
 
2.4%
10 73
 
2.0%
2 70
 
1.9%
14 61
 
1.7%
Other values (178) 2705
74.9%
ValueCountFrequency (%)
0 26
 
0.7%
1 40
 
1.1%
2 70
1.9%
3 88
2.4%
4 90
2.5%
5 120
3.3%
6 111
3.1%
7 87
2.4%
8 108
3.0%
9 100
2.8%
ValueCountFrequency (%)
299 1
< 0.1%
296 1
< 0.1%
273 1
< 0.1%
250 2
0.1%
248 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%
219 1
< 0.1%
206 1
< 0.1%
190 1
< 0.1%

58세여자
Real number (ℝ)

Distinct193
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.253529
Minimum0
Maximum300
Zeros27
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:40.978574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median35
Q366
95-th percentile118
Maximum300
Range300
Interquartile range (IQR)55

Descriptive statistics

Standard deviation39.003541
Coefficient of variation (CV)0.88136567
Kurtosis2.5567518
Mean44.253529
Median Absolute Deviation (MAD)26
Skewness1.3336443
Sum159888
Variance1521.2762
MonotonicityNot monotonic
2024-04-06T17:16:41.810253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 117
 
3.2%
7 98
 
2.7%
8 94
 
2.6%
9 91
 
2.5%
5 91
 
2.5%
11 86
 
2.4%
4 77
 
2.1%
3 72
 
2.0%
10 66
 
1.8%
15 65
 
1.8%
Other values (183) 2756
76.3%
ValueCountFrequency (%)
0 27
 
0.7%
1 42
 
1.2%
2 51
1.4%
3 72
2.0%
4 77
2.1%
5 91
2.5%
6 117
3.2%
7 98
2.7%
8 94
2.6%
9 91
2.5%
ValueCountFrequency (%)
300 1
< 0.1%
297 1
< 0.1%
271 1
< 0.1%
244 1
< 0.1%
240 1
< 0.1%
231 1
< 0.1%
228 1
< 0.1%
221 1
< 0.1%
216 1
< 0.1%
197 1
< 0.1%

59세여자
Real number (ℝ)

Distinct190
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.030722
Minimum0
Maximum285
Zeros20
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:42.148674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median35
Q366
95-th percentile115
Maximum285
Range285
Interquartile range (IQR)54

Descriptive statistics

Standard deviation38.116965
Coefficient of variation (CV)0.86569019
Kurtosis2.1952645
Mean44.030722
Median Absolute Deviation (MAD)25
Skewness1.2721421
Sum159083
Variance1452.903
MonotonicityNot monotonic
2024-04-06T17:16:42.564350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 96
 
2.7%
7 94
 
2.6%
6 93
 
2.6%
9 92
 
2.5%
10 86
 
2.4%
8 83
 
2.3%
4 79
 
2.2%
11 76
 
2.1%
2 66
 
1.8%
14 65
 
1.8%
Other values (180) 2783
77.0%
ValueCountFrequency (%)
0 20
 
0.6%
1 33
 
0.9%
2 66
1.8%
3 60
1.7%
4 79
2.2%
5 96
2.7%
6 93
2.6%
7 94
2.6%
8 83
2.3%
9 92
2.5%
ValueCountFrequency (%)
285 1
< 0.1%
271 1
< 0.1%
262 1
< 0.1%
238 1
< 0.1%
225 1
< 0.1%
222 1
< 0.1%
213 1
< 0.1%
211 1
< 0.1%
207 1
< 0.1%
201 1
< 0.1%

60세여자
Real number (ℝ)

Distinct172
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.599225
Minimum0
Maximum268
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:42.877846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q111
median33
Q360
95-th percentile105.4
Maximum268
Range268
Interquartile range (IQR)49

Descriptive statistics

Standard deviation34.753234
Coefficient of variation (CV)0.85600733
Kurtosis2.1804537
Mean40.599225
Median Absolute Deviation (MAD)23
Skewness1.2539555
Sum146685
Variance1207.7873
MonotonicityNot monotonic
2024-04-06T17:16:43.245528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 109
 
3.0%
6 103
 
2.9%
9 102
 
2.8%
5 95
 
2.6%
7 93
 
2.6%
4 90
 
2.5%
10 77
 
2.1%
12 67
 
1.9%
13 66
 
1.8%
11 66
 
1.8%
Other values (162) 2745
76.0%
ValueCountFrequency (%)
0 22
 
0.6%
1 34
 
0.9%
2 61
1.7%
3 64
1.8%
4 90
2.5%
5 95
2.6%
6 103
2.9%
7 93
2.6%
8 109
3.0%
9 102
2.8%
ValueCountFrequency (%)
268 1
< 0.1%
252 1
< 0.1%
250 1
< 0.1%
214 1
< 0.1%
206 1
< 0.1%
198 1
< 0.1%
196 1
< 0.1%
191 1
< 0.1%
189 1
< 0.1%
184 1
< 0.1%

61세여자
Real number (ℝ)

Distinct188
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.294215
Minimum0
Maximum294
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:43.585981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median37
Q368
95-th percentile116
Maximum294
Range294
Interquartile range (IQR)55

Descriptive statistics

Standard deviation38.180881
Coefficient of variation (CV)0.8429527
Kurtosis2.3528771
Mean45.294215
Median Absolute Deviation (MAD)26
Skewness1.2807419
Sum163648
Variance1457.7797
MonotonicityNot monotonic
2024-04-06T17:16:43.902961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 94
 
2.6%
7 92
 
2.5%
6 85
 
2.4%
5 84
 
2.3%
11 82
 
2.3%
8 76
 
2.1%
10 68
 
1.9%
13 65
 
1.8%
4 65
 
1.8%
15 65
 
1.8%
Other values (178) 2837
78.5%
ValueCountFrequency (%)
0 16
 
0.4%
1 26
 
0.7%
2 35
 
1.0%
3 59
1.6%
4 65
1.8%
5 84
2.3%
6 85
2.4%
7 92
2.5%
8 76
2.1%
9 94
2.6%
ValueCountFrequency (%)
294 1
< 0.1%
275 1
< 0.1%
250 1
< 0.1%
244 1
< 0.1%
241 1
< 0.1%
238 1
< 0.1%
235 1
< 0.1%
226 2
0.1%
202 2
0.1%
195 1
< 0.1%

62세여자
Real number (ℝ)

Distinct187
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.21561
Minimum0
Maximum274
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:44.182062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median37
Q368
95-th percentile121
Maximum274
Range274
Interquartile range (IQR)54

Descriptive statistics

Standard deviation38.176555
Coefficient of variation (CV)0.82605325
Kurtosis2.1700316
Mean46.21561
Median Absolute Deviation (MAD)25
Skewness1.2687447
Sum166977
Variance1457.4493
MonotonicityNot monotonic
2024-04-06T17:16:44.430399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 87
 
2.4%
12 86
 
2.4%
10 80
 
2.2%
9 80
 
2.2%
11 79
 
2.2%
8 70
 
1.9%
6 70
 
1.9%
13 69
 
1.9%
14 68
 
1.9%
5 65
 
1.8%
Other values (177) 2859
79.1%
ValueCountFrequency (%)
0 15
 
0.4%
1 16
 
0.4%
2 26
 
0.7%
3 57
1.6%
4 48
1.3%
5 65
1.8%
6 70
1.9%
7 87
2.4%
8 70
1.9%
9 80
2.2%
ValueCountFrequency (%)
274 1
< 0.1%
270 1
< 0.1%
264 1
< 0.1%
243 1
< 0.1%
237 1
< 0.1%
228 1
< 0.1%
217 2
0.1%
215 1
< 0.1%
212 1
< 0.1%
199 1
< 0.1%

63세여자
Real number (ℝ)

Distinct202
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.683642
Minimum0
Maximum295
Zeros17
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:44.731964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116
median42
Q375
95-th percentile127.4
Maximum295
Range295
Interquartile range (IQR)59

Descriptive statistics

Standard deviation41.234029
Coefficient of variation (CV)0.81355693
Kurtosis2.0267531
Mean50.683642
Median Absolute Deviation (MAD)28
Skewness1.2413893
Sum183120
Variance1700.2451
MonotonicityNot monotonic
2024-04-06T17:16:44.986357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 83
 
2.3%
7 75
 
2.1%
8 73
 
2.0%
12 72
 
2.0%
11 71
 
2.0%
13 71
 
2.0%
15 67
 
1.9%
14 63
 
1.7%
6 62
 
1.7%
17 57
 
1.6%
Other values (192) 2919
80.8%
ValueCountFrequency (%)
0 17
 
0.5%
1 9
 
0.2%
2 23
 
0.6%
3 24
 
0.7%
4 48
1.3%
5 47
1.3%
6 62
1.7%
7 75
2.1%
8 73
2.0%
9 83
2.3%
ValueCountFrequency (%)
295 1
< 0.1%
294 1
< 0.1%
255 1
< 0.1%
254 1
< 0.1%
250 1
< 0.1%
249 1
< 0.1%
246 1
< 0.1%
244 1
< 0.1%
224 1
< 0.1%
221 1
< 0.1%

64세여자
Real number (ℝ)

Distinct187
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.376972
Minimum0
Maximum302
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:45.241583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116
median39
Q370
95-th percentile119
Maximum302
Range302
Interquartile range (IQR)54

Descriptive statistics

Standard deviation37.956161
Coefficient of variation (CV)0.8011521
Kurtosis2.198848
Mean47.376972
Median Absolute Deviation (MAD)25
Skewness1.2269472
Sum171173
Variance1440.6701
MonotonicityNot monotonic
2024-04-06T17:16:45.528666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 89
 
2.5%
11 89
 
2.5%
7 88
 
2.4%
13 70
 
1.9%
8 70
 
1.9%
6 70
 
1.9%
9 66
 
1.8%
12 65
 
1.8%
14 60
 
1.7%
16 59
 
1.6%
Other values (177) 2887
79.9%
ValueCountFrequency (%)
0 10
 
0.3%
1 15
 
0.4%
2 28
 
0.8%
3 27
 
0.7%
4 39
1.1%
5 55
1.5%
6 70
1.9%
7 88
2.4%
8 70
1.9%
9 66
1.8%
ValueCountFrequency (%)
302 1
< 0.1%
296 1
< 0.1%
245 1
< 0.1%
240 1
< 0.1%
225 1
< 0.1%
222 1
< 0.1%
219 1
< 0.1%
217 2
0.1%
204 1
< 0.1%
201 1
< 0.1%

65세여자
Real number (ℝ)

Distinct175
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.084141
Minimum0
Maximum268
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:45.907685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median35
Q363
95-th percentile109.4
Maximum268
Range268
Interquartile range (IQR)48

Descriptive statistics

Standard deviation34.582842
Coefficient of variation (CV)0.80268149
Kurtosis2.1195368
Mean43.084141
Median Absolute Deviation (MAD)23
Skewness1.2367673
Sum155663
Variance1195.973
MonotonicityNot monotonic
2024-04-06T17:16:46.263811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 104
 
2.9%
8 86
 
2.4%
9 84
 
2.3%
10 77
 
2.1%
6 75
 
2.1%
13 73
 
2.0%
11 68
 
1.9%
12 67
 
1.9%
5 66
 
1.8%
20 64
 
1.8%
Other values (165) 2849
78.9%
ValueCountFrequency (%)
0 13
 
0.4%
1 17
 
0.5%
2 30
 
0.8%
3 35
 
1.0%
4 52
1.4%
5 66
1.8%
6 75
2.1%
7 104
2.9%
8 86
2.4%
9 84
2.3%
ValueCountFrequency (%)
268 1
< 0.1%
247 1
< 0.1%
234 1
< 0.1%
214 1
< 0.1%
212 1
< 0.1%
205 2
0.1%
200 1
< 0.1%
195 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%

66세여자
Real number (ℝ)

Distinct168
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.049267
Minimum0
Maximum241
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:46.547034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median34
Q361
95-th percentile107
Maximum241
Range241
Interquartile range (IQR)47

Descriptive statistics

Standard deviation33.562537
Coefficient of variation (CV)0.79817175
Kurtosis2.1182289
Mean42.049267
Median Absolute Deviation (MAD)22
Skewness1.2327511
Sum151924
Variance1126.4439
MonotonicityNot monotonic
2024-04-06T17:16:46.833502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 92
 
2.5%
6 92
 
2.5%
9 85
 
2.4%
12 82
 
2.3%
7 79
 
2.2%
14 76
 
2.1%
8 74
 
2.0%
5 67
 
1.9%
11 65
 
1.8%
13 63
 
1.7%
Other values (158) 2838
78.5%
ValueCountFrequency (%)
0 15
 
0.4%
1 18
 
0.5%
2 22
 
0.6%
3 39
1.1%
4 59
1.6%
5 67
1.9%
6 92
2.5%
7 79
2.2%
8 74
2.0%
9 85
2.4%
ValueCountFrequency (%)
241 1
< 0.1%
240 1
< 0.1%
231 1
< 0.1%
223 1
< 0.1%
215 1
< 0.1%
206 1
< 0.1%
203 1
< 0.1%
198 1
< 0.1%
192 1
< 0.1%
181 2
0.1%

67세여자
Real number (ℝ)

Distinct162
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.499862
Minimum0
Maximum255
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:47.143811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median33
Q357
95-th percentile99
Maximum255
Range255
Interquartile range (IQR)43

Descriptive statistics

Standard deviation31.22684
Coefficient of variation (CV)0.79055567
Kurtosis2.5899313
Mean39.499862
Median Absolute Deviation (MAD)21
Skewness1.2893824
Sum142713
Variance975.11552
MonotonicityNot monotonic
2024-04-06T17:16:47.419724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 95
 
2.6%
8 93
 
2.6%
13 92
 
2.5%
10 83
 
2.3%
6 81
 
2.2%
11 79
 
2.2%
5 77
 
2.1%
7 70
 
1.9%
17 62
 
1.7%
12 60
 
1.7%
Other values (152) 2821
78.1%
ValueCountFrequency (%)
0 15
 
0.4%
1 29
 
0.8%
2 33
 
0.9%
3 33
 
0.9%
4 51
1.4%
5 77
2.1%
6 81
2.2%
7 70
1.9%
8 93
2.6%
9 95
2.6%
ValueCountFrequency (%)
255 1
< 0.1%
242 1
< 0.1%
223 1
< 0.1%
207 1
< 0.1%
190 1
< 0.1%
185 1
< 0.1%
179 1
< 0.1%
177 1
< 0.1%
176 1
< 0.1%
172 1
< 0.1%

68세여자
Real number (ℝ)

Distinct154
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.920011
Minimum0
Maximum227
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:47.692405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median32
Q357
95-th percentile98
Maximum227
Range227
Interquartile range (IQR)44

Descriptive statistics

Standard deviation30.846232
Coefficient of variation (CV)0.79255454
Kurtosis2.1710332
Mean38.920011
Median Absolute Deviation (MAD)20
Skewness1.251965
Sum140618
Variance951.49
MonotonicityNot monotonic
2024-04-06T17:16:47.963429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 98
 
2.7%
7 95
 
2.6%
11 93
 
2.6%
10 87
 
2.4%
6 82
 
2.3%
13 81
 
2.2%
12 77
 
2.1%
8 75
 
2.1%
5 67
 
1.9%
15 64
 
1.8%
Other values (144) 2794
77.3%
ValueCountFrequency (%)
0 10
 
0.3%
1 28
 
0.8%
2 23
 
0.6%
3 45
1.2%
4 46
1.3%
5 67
1.9%
6 82
2.3%
7 95
2.6%
8 75
2.1%
9 98
2.7%
ValueCountFrequency (%)
227 2
0.1%
225 1
< 0.1%
196 1
< 0.1%
190 1
< 0.1%
187 1
< 0.1%
177 1
< 0.1%
173 1
< 0.1%
168 1
< 0.1%
167 2
0.1%
164 1
< 0.1%

69세여자
Real number (ℝ)

Distinct159
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.268198
Minimum0
Maximum238
Zeros19
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:48.251974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median32
Q357
95-th percentile96.4
Maximum238
Range238
Interquartile range (IQR)42

Descriptive statistics

Standard deviation30.494063
Coefficient of variation (CV)0.77655876
Kurtosis2.6710565
Mean39.268198
Median Absolute Deviation (MAD)20
Skewness1.3025218
Sum141876
Variance929.88791
MonotonicityNot monotonic
2024-04-06T17:16:48.520127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 94
 
2.6%
12 86
 
2.4%
16 83
 
2.3%
6 80
 
2.2%
10 77
 
2.1%
13 75
 
2.1%
5 72
 
2.0%
7 67
 
1.9%
11 66
 
1.8%
8 65
 
1.8%
Other values (149) 2848
78.8%
ValueCountFrequency (%)
0 19
 
0.5%
1 16
 
0.4%
2 26
 
0.7%
3 36
 
1.0%
4 47
1.3%
5 72
2.0%
6 80
2.2%
7 67
1.9%
8 65
1.8%
9 94
2.6%
ValueCountFrequency (%)
238 1
< 0.1%
235 1
< 0.1%
224 1
< 0.1%
215 1
< 0.1%
201 1
< 0.1%
193 1
< 0.1%
189 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
171 1
< 0.1%

70세여자
Real number (ℝ)

Distinct131
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.986161
Minimum0
Maximum176
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:48.795503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median25
Q344
95-th percentile77
Maximum176
Range176
Interquartile range (IQR)33

Descriptive statistics

Standard deviation24.339158
Coefficient of variation (CV)0.78548478
Kurtosis2.625088
Mean30.986161
Median Absolute Deviation (MAD)15
Skewness1.327695
Sum111953
Variance592.3946
MonotonicityNot monotonic
2024-04-06T17:16:49.085986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 112
 
3.1%
5 105
 
2.9%
6 97
 
2.7%
10 96
 
2.7%
8 92
 
2.5%
9 89
 
2.5%
11 88
 
2.4%
17 82
 
2.3%
4 74
 
2.0%
12 74
 
2.0%
Other values (121) 2704
74.8%
ValueCountFrequency (%)
0 15
 
0.4%
1 34
 
0.9%
2 37
 
1.0%
3 68
1.9%
4 74
2.0%
5 105
2.9%
6 97
2.7%
7 112
3.1%
8 92
2.5%
9 89
2.5%
ValueCountFrequency (%)
176 1
< 0.1%
175 1
< 0.1%
174 1
< 0.1%
170 1
< 0.1%
164 1
< 0.1%
158 1
< 0.1%
152 1
< 0.1%
139 1
< 0.1%
137 1
< 0.1%
136 1
< 0.1%

71세여자
Real number (ℝ)

Distinct143
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.430944
Minimum0
Maximum203
Zeros19
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:49.392967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median28
Q347
95-th percentile82
Maximum203
Range203
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.609892
Coefficient of variation (CV)0.76605351
Kurtosis2.8623047
Mean33.430944
Median Absolute Deviation (MAD)16
Skewness1.3544015
Sum120786
Variance655.86656
MonotonicityNot monotonic
2024-04-06T17:16:49.696610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 96
 
2.7%
8 91
 
2.5%
6 91
 
2.5%
11 89
 
2.5%
15 87
 
2.4%
7 86
 
2.4%
9 84
 
2.3%
12 83
 
2.3%
14 79
 
2.2%
5 79
 
2.2%
Other values (133) 2748
76.1%
ValueCountFrequency (%)
0 19
 
0.5%
1 22
 
0.6%
2 28
 
0.8%
3 26
 
0.7%
4 59
1.6%
5 79
2.2%
6 91
2.5%
7 86
2.4%
8 91
2.5%
9 84
2.3%
ValueCountFrequency (%)
203 1
< 0.1%
194 1
< 0.1%
179 1
< 0.1%
175 2
0.1%
164 1
< 0.1%
159 1
< 0.1%
154 1
< 0.1%
148 1
< 0.1%
142 1
< 0.1%
141 1
< 0.1%

72세여자
Real number (ℝ)

Distinct121
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.347357
Minimum0
Maximum162
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:50.111654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median23
Q340
95-th percentile69
Maximum162
Range162
Interquartile range (IQR)28

Descriptive statistics

Standard deviation21.345436
Coefficient of variation (CV)0.75299565
Kurtosis2.8902913
Mean28.347357
Median Absolute Deviation (MAD)13
Skewness1.3697082
Sum102419
Variance455.62765
MonotonicityNot monotonic
2024-04-06T17:16:50.893434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 122
 
3.4%
8 110
 
3.0%
6 101
 
2.8%
11 100
 
2.8%
9 97
 
2.7%
14 91
 
2.5%
7 91
 
2.5%
12 90
 
2.5%
18 90
 
2.5%
13 85
 
2.4%
Other values (111) 2636
73.0%
ValueCountFrequency (%)
0 13
 
0.4%
1 22
 
0.6%
2 41
 
1.1%
3 62
1.7%
4 60
1.7%
5 69
1.9%
6 101
2.8%
7 91
2.5%
8 110
3.0%
9 97
2.7%
ValueCountFrequency (%)
162 1
< 0.1%
160 1
< 0.1%
159 1
< 0.1%
153 1
< 0.1%
149 1
< 0.1%
128 1
< 0.1%
127 1
< 0.1%
126 1
< 0.1%
125 1
< 0.1%
124 1
< 0.1%

73세여자
Real number (ℝ)

Distinct113
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.191807
Minimum0
Maximum157
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:51.207389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median23
Q338
95-th percentile66
Maximum157
Range157
Interquartile range (IQR)27

Descriptive statistics

Standard deviation20.17011
Coefficient of variation (CV)0.7417716
Kurtosis2.4646508
Mean27.191807
Median Absolute Deviation (MAD)13
Skewness1.3119044
Sum98244
Variance406.83335
MonotonicityNot monotonic
2024-04-06T17:16:51.559135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 113
 
3.1%
11 108
 
3.0%
13 103
 
2.9%
10 102
 
2.8%
12 102
 
2.8%
9 101
 
2.8%
7 101
 
2.8%
6 95
 
2.6%
14 92
 
2.5%
19 82
 
2.3%
Other values (103) 2614
72.3%
ValueCountFrequency (%)
0 13
 
0.4%
1 30
 
0.8%
2 29
 
0.8%
3 63
1.7%
4 74
2.0%
5 75
2.1%
6 95
2.6%
7 101
2.8%
8 113
3.1%
9 101
2.8%
ValueCountFrequency (%)
157 1
 
< 0.1%
151 1
 
< 0.1%
126 2
0.1%
125 1
 
< 0.1%
119 2
0.1%
118 1
 
< 0.1%
114 3
0.1%
113 1
 
< 0.1%
112 1
 
< 0.1%
107 2
0.1%

74세여자
Real number (ℝ)

Distinct125
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.106006
Minimum0
Maximum184
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:51.901247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median24
Q341
95-th percentile69
Maximum184
Range184
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.70292
Coefficient of variation (CV)0.7456509
Kurtosis3.327367
Mean29.106006
Median Absolute Deviation (MAD)13
Skewness1.4404947
Sum105160
Variance471.01672
MonotonicityNot monotonic
2024-04-06T17:16:52.231695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 106
 
2.9%
16 106
 
2.9%
7 105
 
2.9%
8 99
 
2.7%
12 96
 
2.7%
13 95
 
2.6%
9 95
 
2.6%
14 92
 
2.5%
10 90
 
2.5%
6 86
 
2.4%
Other values (115) 2643
73.2%
ValueCountFrequency (%)
0 13
 
0.4%
1 20
 
0.6%
2 27
 
0.7%
3 46
1.3%
4 55
1.5%
5 68
1.9%
6 86
2.4%
7 105
2.9%
8 99
2.7%
9 95
2.6%
ValueCountFrequency (%)
184 1
< 0.1%
173 1
< 0.1%
147 1
< 0.1%
145 1
< 0.1%
138 1
< 0.1%
136 1
< 0.1%
133 1
< 0.1%
132 1
< 0.1%
125 1
< 0.1%
124 2
0.1%

75세여자
Real number (ℝ)

Distinct124
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.180183
Minimum0
Maximum201
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:52.611145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median24
Q341
95-th percentile70.4
Maximum201
Range201
Interquartile range (IQR)28

Descriptive statistics

Standard deviation21.574934
Coefficient of variation (CV)0.73936939
Kurtosis3.5633562
Mean29.180183
Median Absolute Deviation (MAD)13
Skewness1.4457343
Sum105428
Variance465.47777
MonotonicityNot monotonic
2024-04-06T17:16:52.893573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 111
 
3.1%
12 106
 
2.9%
15 103
 
2.9%
14 98
 
2.7%
9 96
 
2.7%
7 94
 
2.6%
10 94
 
2.6%
16 92
 
2.5%
11 91
 
2.5%
8 90
 
2.5%
Other values (114) 2638
73.0%
ValueCountFrequency (%)
0 13
 
0.4%
1 24
 
0.7%
2 30
 
0.8%
3 38
 
1.1%
4 45
1.2%
5 72
2.0%
6 78
2.2%
7 94
2.6%
8 90
2.5%
9 96
2.7%
ValueCountFrequency (%)
201 1
< 0.1%
160 1
< 0.1%
155 1
< 0.1%
152 1
< 0.1%
145 1
< 0.1%
143 1
< 0.1%
136 1
< 0.1%
134 1
< 0.1%
130 1
< 0.1%
123 2
0.1%

76세여자
Real number (ℝ)

Distinct123
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.981733
Minimum0
Maximum193
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:53.189911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median25
Q341
95-th percentile72
Maximum193
Range193
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.712169
Coefficient of variation (CV)0.72417992
Kurtosis3.20269
Mean29.981733
Median Absolute Deviation (MAD)13
Skewness1.4158867
Sum108324
Variance471.41827
MonotonicityNot monotonic
2024-04-06T17:16:53.529289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 104
 
2.9%
16 103
 
2.9%
12 96
 
2.7%
9 94
 
2.6%
13 94
 
2.6%
15 90
 
2.5%
17 89
 
2.5%
19 88
 
2.4%
8 87
 
2.4%
11 86
 
2.4%
Other values (113) 2682
74.2%
ValueCountFrequency (%)
0 12
 
0.3%
1 16
 
0.4%
2 23
 
0.6%
3 32
 
0.9%
4 55
1.5%
5 65
1.8%
6 50
1.4%
7 81
2.2%
8 87
2.4%
9 94
2.6%
ValueCountFrequency (%)
193 1
 
< 0.1%
164 1
 
< 0.1%
149 1
 
< 0.1%
146 1
 
< 0.1%
139 1
 
< 0.1%
137 1
 
< 0.1%
135 1
 
< 0.1%
128 1
 
< 0.1%
127 3
0.1%
124 2
0.1%

77세여자
Real number (ℝ)

Distinct113
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.379186
Minimum0
Maximum183
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:53.827664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median24
Q339
95-th percentile68
Maximum183
Range183
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.356652
Coefficient of variation (CV)0.71730922
Kurtosis3.0886239
Mean28.379186
Median Absolute Deviation (MAD)12
Skewness1.3919683
Sum102534
Variance414.39328
MonotonicityNot monotonic
2024-04-06T17:16:54.113431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 122
 
3.4%
11 109
 
3.0%
18 103
 
2.9%
13 97
 
2.7%
9 94
 
2.6%
17 94
 
2.6%
12 92
 
2.5%
14 91
 
2.5%
22 90
 
2.5%
8 88
 
2.4%
Other values (103) 2633
72.9%
ValueCountFrequency (%)
0 9
 
0.2%
1 21
 
0.6%
2 27
 
0.7%
3 38
1.1%
4 42
1.2%
5 73
2.0%
6 71
2.0%
7 74
2.0%
8 88
2.4%
9 94
2.6%
ValueCountFrequency (%)
183 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
138 1
 
< 0.1%
135 1
 
< 0.1%
127 1
 
< 0.1%
114 3
0.1%
112 2
0.1%
111 2
0.1%
106 1
 
< 0.1%

78세여자
Real number (ℝ)

Distinct92
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.631331
Minimum0
Maximum155
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:54.422033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q329
95-th percentile52
Maximum155
Range155
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.76361
Coefficient of variation (CV)0.7287397
Kurtosis3.801271
Mean21.631331
Median Absolute Deviation (MAD)9
Skewness1.5188993
Sum78154
Variance248.4914
MonotonicityNot monotonic
2024-04-06T17:16:54.729332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 143
 
4.0%
12 132
 
3.7%
8 131
 
3.6%
11 127
 
3.5%
6 120
 
3.3%
15 120
 
3.3%
7 117
 
3.2%
9 115
 
3.2%
14 114
 
3.2%
16 114
 
3.2%
Other values (82) 2380
65.9%
ValueCountFrequency (%)
0 15
 
0.4%
1 30
 
0.8%
2 41
 
1.1%
3 57
1.6%
4 88
2.4%
5 109
3.0%
6 120
3.3%
7 117
3.2%
8 131
3.6%
9 115
3.2%
ValueCountFrequency (%)
155 1
 
< 0.1%
121 1
 
< 0.1%
103 3
0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
91 1
 
< 0.1%
89 1
 
< 0.1%
88 1
 
< 0.1%
84 2
0.1%
83 1
 
< 0.1%

79세여자
Real number (ℝ)

Distinct102
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.074453
Minimum0
Maximum169
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:55.061109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median21
Q334
95-th percentile58
Maximum169
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.170768
Coefficient of variation (CV)0.68479131
Kurtosis4.0243542
Mean25.074453
Median Absolute Deviation (MAD)10
Skewness1.4614261
Sum90594
Variance294.83526
MonotonicityNot monotonic
2024-04-06T17:16:55.646367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 129
 
3.6%
15 128
 
3.5%
11 115
 
3.2%
12 114
 
3.2%
18 110
 
3.0%
17 107
 
3.0%
13 107
 
3.0%
9 102
 
2.8%
8 102
 
2.8%
20 99
 
2.7%
Other values (92) 2500
69.2%
ValueCountFrequency (%)
0 16
 
0.4%
1 21
 
0.6%
2 28
 
0.8%
3 40
 
1.1%
4 48
1.3%
5 64
1.8%
6 79
2.2%
7 74
2.0%
8 102
2.8%
9 102
2.8%
ValueCountFrequency (%)
169 1
< 0.1%
149 1
< 0.1%
130 1
< 0.1%
127 1
< 0.1%
110 1
< 0.1%
109 1
< 0.1%
106 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
94 1
< 0.1%

80세여자
Real number (ℝ)

Distinct100
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.382508
Minimum0
Maximum144
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:56.062528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median20
Q332
95-th percentile55
Maximum144
Range144
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.38838
Coefficient of variation (CV)0.67213678
Kurtosis3.6023632
Mean24.382508
Median Absolute Deviation (MAD)9
Skewness1.4799919
Sum88094
Variance268.57901
MonotonicityNot monotonic
2024-04-06T17:16:56.487804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 146
 
4.0%
18 127
 
3.5%
16 122
 
3.4%
17 121
 
3.3%
14 121
 
3.3%
10 120
 
3.3%
12 115
 
3.2%
15 112
 
3.1%
11 108
 
3.0%
9 102
 
2.8%
Other values (90) 2419
67.0%
ValueCountFrequency (%)
0 13
 
0.4%
1 13
 
0.4%
2 27
 
0.7%
3 31
 
0.9%
4 50
1.4%
5 57
1.6%
6 71
2.0%
7 79
2.2%
8 88
2.4%
9 102
2.8%
ValueCountFrequency (%)
144 1
< 0.1%
134 1
< 0.1%
116 1
< 0.1%
114 1
< 0.1%
113 1
< 0.1%
110 1
< 0.1%
108 1
< 0.1%
105 1
< 0.1%
99 1
< 0.1%
98 1
< 0.1%

81세여자
Real number (ℝ)

Distinct116
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.756989
Minimum0
Maximum174
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:56.888542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q117
median27
Q340
95-th percentile67
Maximum174
Range174
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.319576
Coefficient of variation (CV)0.62813614
Kurtosis4.3762632
Mean30.756989
Median Absolute Deviation (MAD)11
Skewness1.5120906
Sum111125
Variance373.24602
MonotonicityNot monotonic
2024-04-06T17:16:57.228144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 118
 
3.3%
19 104
 
2.9%
21 104
 
2.9%
17 100
 
2.8%
14 99
 
2.7%
22 94
 
2.6%
15 92
 
2.5%
12 91
 
2.5%
31 91
 
2.5%
23 91
 
2.5%
Other values (106) 2629
72.8%
ValueCountFrequency (%)
0 12
 
0.3%
1 11
 
0.3%
2 20
0.6%
3 25
0.7%
4 19
0.5%
5 25
0.7%
6 38
1.1%
7 31
0.9%
8 44
1.2%
9 44
1.2%
ValueCountFrequency (%)
174 1
< 0.1%
166 1
< 0.1%
164 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%
137 1
< 0.1%
134 1
< 0.1%
130 1
< 0.1%
123 1
< 0.1%
121 2
0.1%

82세여자
Real number (ℝ)

Distinct108
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.06532
Minimum0
Maximum164
Zeros11
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:57.528747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q116
median24
Q336
95-th percentile62
Maximum164
Range164
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.515525
Coefficient of variation (CV)0.62409855
Kurtosis3.9131571
Mean28.06532
Median Absolute Deviation (MAD)10
Skewness1.4631542
Sum101400
Variance306.79363
MonotonicityNot monotonic
2024-04-06T17:16:57.864115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 132
 
3.7%
20 112
 
3.1%
14 107
 
3.0%
17 105
 
2.9%
26 104
 
2.9%
23 104
 
2.9%
24 104
 
2.9%
22 103
 
2.9%
19 101
 
2.8%
18 101
 
2.8%
Other values (98) 2540
70.3%
ValueCountFrequency (%)
0 11
 
0.3%
1 8
 
0.2%
2 24
 
0.7%
3 27
0.7%
4 34
0.9%
5 28
0.8%
6 28
0.8%
7 53
1.5%
8 63
1.7%
9 62
1.7%
ValueCountFrequency (%)
164 1
< 0.1%
137 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
127 1
< 0.1%
123 1
< 0.1%
114 1
< 0.1%
113 1
< 0.1%
111 1
< 0.1%
107 1
< 0.1%

83세여자
Real number (ℝ)

Distinct90
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.101024
Minimum0
Maximum136
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:58.151988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median20
Q330
95-th percentile50
Maximum136
Range136
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.483638
Coefficient of variation (CV)0.62696954
Kurtosis3.9893372
Mean23.101024
Median Absolute Deviation (MAD)8
Skewness1.4370837
Sum83464
Variance209.77578
MonotonicityNot monotonic
2024-04-06T17:16:58.487233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 141
 
3.9%
15 131
 
3.6%
18 131
 
3.6%
22 129
 
3.6%
17 120
 
3.3%
12 120
 
3.3%
19 119
 
3.3%
11 116
 
3.2%
13 116
 
3.2%
10 113
 
3.1%
Other values (80) 2377
65.8%
ValueCountFrequency (%)
0 16
 
0.4%
1 17
 
0.5%
2 24
 
0.7%
3 38
1.1%
4 38
1.1%
5 60
1.7%
6 66
1.8%
7 78
2.2%
8 78
2.2%
9 94
2.6%
ValueCountFrequency (%)
136 1
< 0.1%
129 1
< 0.1%
110 1
< 0.1%
109 1
< 0.1%
100 1
< 0.1%
98 1
< 0.1%
94 2
0.1%
90 1
< 0.1%
85 1
< 0.1%
84 2
0.1%

84세여자
Real number (ℝ)

Distinct90
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.946305
Minimum0
Maximum142
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:58.855808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median20
Q329
95-th percentile51
Maximum142
Range142
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.226509
Coefficient of variation (CV)0.6199913
Kurtosis4.4144636
Mean22.946305
Median Absolute Deviation (MAD)8
Skewness1.5388949
Sum82905
Variance202.39357
MonotonicityNot monotonic
2024-04-06T17:16:59.127961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 148
 
4.1%
17 144
 
4.0%
16 142
 
3.9%
14 140
 
3.9%
18 131
 
3.6%
15 130
 
3.6%
21 124
 
3.4%
22 110
 
3.0%
13 109
 
3.0%
12 108
 
3.0%
Other values (80) 2327
64.4%
ValueCountFrequency (%)
0 15
 
0.4%
1 22
 
0.6%
2 24
 
0.7%
3 29
 
0.8%
4 40
 
1.1%
5 43
1.2%
6 55
1.5%
7 64
1.8%
8 92
2.5%
9 104
2.9%
ValueCountFrequency (%)
142 1
< 0.1%
106 1
< 0.1%
102 2
0.1%
100 1
< 0.1%
99 1
< 0.1%
97 1
< 0.1%
94 2
0.1%
93 1
< 0.1%
91 1
< 0.1%
90 1
< 0.1%

85세여자
Real number (ℝ)

Distinct85
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.097426
Minimum0
Maximum124
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:16:59.523883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median19
Q327
95-th percentile46.4
Maximum124
Range124
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.054445
Coefficient of variation (CV)0.61876954
Kurtosis3.9231055
Mean21.097426
Median Absolute Deviation (MAD)7
Skewness1.4518523
Sum76225
Variance170.41852
MonotonicityNot monotonic
2024-04-06T17:17:00.599034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 150
 
4.2%
15 149
 
4.1%
16 148
 
4.1%
14 142
 
3.9%
11 137
 
3.8%
18 134
 
3.7%
22 129
 
3.6%
19 129
 
3.6%
20 124
 
3.4%
10 122
 
3.4%
Other values (75) 2249
62.2%
ValueCountFrequency (%)
0 16
 
0.4%
1 25
 
0.7%
2 35
 
1.0%
3 44
 
1.2%
4 36
 
1.0%
5 57
1.6%
6 67
1.9%
7 104
2.9%
8 82
2.3%
9 120
3.3%
ValueCountFrequency (%)
124 1
 
< 0.1%
102 1
 
< 0.1%
99 1
 
< 0.1%
93 1
 
< 0.1%
89 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
83 1
 
< 0.1%
82 1
 
< 0.1%
81 3
0.1%

86세여자
Real number (ℝ)

Distinct77
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.288403
Minimum0
Maximum89
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:01.077991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q323
95-th percentile39
Maximum89
Range89
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.180928
Coefficient of variation (CV)0.61136709
Kurtosis3.1670925
Mean18.288403
Median Absolute Deviation (MAD)6
Skewness1.3581003
Sum66076
Variance125.01315
MonotonicityNot monotonic
2024-04-06T17:17:01.516318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 183
 
5.1%
18 167
 
4.6%
15 160
 
4.4%
14 154
 
4.3%
10 154
 
4.3%
13 150
 
4.2%
16 146
 
4.0%
17 144
 
4.0%
9 143
 
4.0%
11 130
 
3.6%
Other values (67) 2082
57.6%
ValueCountFrequency (%)
0 14
 
0.4%
1 24
 
0.7%
2 43
 
1.2%
3 68
1.9%
4 64
1.8%
5 74
2.0%
6 79
2.2%
7 122
3.4%
8 124
3.4%
9 143
4.0%
ValueCountFrequency (%)
89 1
< 0.1%
83 1
< 0.1%
81 1
< 0.1%
78 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%

87세여자
Real number (ℝ)

Distinct70
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.532245
Minimum0
Maximum99
Zeros28
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:01.958926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median15
Q321
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.214281
Coefficient of variation (CV)0.61783992
Kurtosis4.6420351
Mean16.532245
Median Absolute Deviation (MAD)6
Skewness1.507023
Sum59731
Variance104.33153
MonotonicityNot monotonic
2024-04-06T17:17:02.262104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 190
 
5.3%
11 184
 
5.1%
15 180
 
5.0%
10 176
 
4.9%
14 174
 
4.8%
13 162
 
4.5%
16 161
 
4.5%
9 151
 
4.2%
18 148
 
4.1%
8 145
 
4.0%
Other values (60) 1942
53.8%
ValueCountFrequency (%)
0 28
 
0.8%
1 26
 
0.7%
2 51
 
1.4%
3 63
1.7%
4 85
2.4%
5 104
2.9%
6 104
2.9%
7 122
3.4%
8 145
4.0%
9 151
4.2%
ValueCountFrequency (%)
99 1
< 0.1%
86 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%
76 2
0.1%
69 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
64 2
0.1%

88세여자
Real number (ℝ)

Distinct63
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.366731
Minimum0
Maximum72
Zeros25
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:02.530016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median13
Q319
95-th percentile31
Maximum72
Range72
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.9312478
Coefficient of variation (CV)0.62166179
Kurtosis3.8489886
Mean14.366731
Median Absolute Deviation (MAD)5
Skewness1.4522592
Sum51907
Variance79.767187
MonotonicityNot monotonic
2024-04-06T17:17:02.895081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 204
 
5.6%
11 203
 
5.6%
12 197
 
5.5%
10 196
 
5.4%
13 192
 
5.3%
9 181
 
5.0%
15 180
 
5.0%
14 170
 
4.7%
7 167
 
4.6%
17 156
 
4.3%
Other values (53) 1767
48.9%
ValueCountFrequency (%)
0 25
 
0.7%
1 41
 
1.1%
2 67
 
1.9%
3 79
 
2.2%
4 104
2.9%
5 135
3.7%
6 150
4.2%
7 167
4.6%
8 204
5.6%
9 181
5.0%
ValueCountFrequency (%)
72 1
 
< 0.1%
69 2
0.1%
65 1
 
< 0.1%
61 3
0.1%
59 2
0.1%
58 1
 
< 0.1%
57 1
 
< 0.1%
55 1
 
< 0.1%
54 1
 
< 0.1%
53 3
0.1%

89세여자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.124827
Minimum0
Maximum63
Zeros39
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:03.195915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q316
95-th percentile26
Maximum63
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.6632962
Coefficient of variation (CV)0.63203344
Kurtosis3.7812855
Mean12.124827
Median Absolute Deviation (MAD)4
Skewness1.4257299
Sum43807
Variance58.726108
MonotonicityNot monotonic
2024-04-06T17:17:03.479855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 243
 
6.7%
8 224
 
6.2%
9 221
 
6.1%
10 214
 
5.9%
7 212
 
5.9%
11 207
 
5.7%
6 204
 
5.6%
5 187
 
5.2%
13 184
 
5.1%
14 180
 
5.0%
Other values (43) 1537
42.5%
ValueCountFrequency (%)
0 39
 
1.1%
1 55
 
1.5%
2 107
3.0%
3 122
3.4%
4 127
3.5%
5 187
5.2%
6 204
5.6%
7 212
5.9%
8 224
6.2%
9 221
6.1%
ValueCountFrequency (%)
63 1
 
< 0.1%
61 1
 
< 0.1%
59 1
 
< 0.1%
55 2
0.1%
52 2
0.1%
47 1
 
< 0.1%
46 3
0.1%
45 3
0.1%
44 1
 
< 0.1%
43 4
0.1%

90세여자
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2582342
Minimum0
Maximum52
Zeros63
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:03.755579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q312
95-th percentile20
Maximum52
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0446399
Coefficient of variation (CV)0.65289339
Kurtosis4.1137743
Mean9.2582342
Median Absolute Deviation (MAD)4
Skewness1.457944
Sum33450
Variance36.537671
MonotonicityNot monotonic
2024-04-06T17:17:04.022953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 297
 
8.2%
8 279
 
7.7%
5 272
 
7.5%
9 268
 
7.4%
7 262
 
7.3%
4 253
 
7.0%
10 229
 
6.3%
11 199
 
5.5%
12 196
 
5.4%
3 183
 
5.1%
Other values (34) 1175
32.5%
ValueCountFrequency (%)
0 63
 
1.7%
1 96
 
2.7%
2 166
4.6%
3 183
5.1%
4 253
7.0%
5 272
7.5%
6 297
8.2%
7 262
7.3%
8 279
7.7%
9 268
7.4%
ValueCountFrequency (%)
52 1
 
< 0.1%
48 1
 
< 0.1%
46 1
 
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
38 4
0.1%
37 2
 
0.1%
36 5
0.1%
35 2
 
0.1%

91세여자
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5073346
Minimum0
Maximum43
Zeros89
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:04.326411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q310
95-th percentile17
Maximum43
Range43
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1919164
Coefficient of variation (CV)0.69157918
Kurtosis4.196224
Mean7.5073346
Median Absolute Deviation (MAD)3
Skewness1.5292819
Sum27124
Variance26.955995
MonotonicityNot monotonic
2024-04-06T17:17:04.635538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 354
9.8%
5 351
9.7%
4 349
9.7%
7 291
 
8.1%
3 282
 
7.8%
8 263
 
7.3%
9 257
 
7.1%
2 250
 
6.9%
10 177
 
4.9%
11 177
 
4.9%
Other values (30) 862
23.9%
ValueCountFrequency (%)
0 89
 
2.5%
1 143
4.0%
2 250
6.9%
3 282
7.8%
4 349
9.7%
5 351
9.7%
6 354
9.8%
7 291
8.1%
8 263
7.3%
9 257
7.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
35 2
0.1%
34 2
0.1%
33 1
 
< 0.1%
31 1
 
< 0.1%
30 3
0.1%

92세여자
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7273734
Minimum0
Maximum35
Zeros146
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:04.936496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile13
Maximum35
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1388037
Coefficient of variation (CV)0.72263557
Kurtosis4.4993945
Mean5.7273734
Median Absolute Deviation (MAD)2
Skewness1.5279215
Sum20693
Variance17.129696
MonotonicityNot monotonic
2024-04-06T17:17:05.179187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4 451
12.5%
5 409
11.3%
3 372
10.3%
2 350
9.7%
6 345
9.5%
7 299
8.3%
1 291
8.1%
8 230
6.4%
9 164
 
4.5%
0 146
 
4.0%
Other values (22) 556
15.4%
ValueCountFrequency (%)
0 146
 
4.0%
1 291
8.1%
2 350
9.7%
3 372
10.3%
4 451
12.5%
5 409
11.3%
6 345
9.5%
7 299
8.3%
8 230
6.4%
9 164
 
4.5%
ValueCountFrequency (%)
35 2
 
0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 6
0.2%
25 2
 
0.1%
24 1
 
< 0.1%
23 3
0.1%
22 5
0.1%

93세여자
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.166067
Minimum0
Maximum22
Zeros260
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:05.532540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1346826
Coefficient of variation (CV)0.75243211
Kurtosis2.6096242
Mean4.166067
Median Absolute Deviation (MAD)2
Skewness1.2931897
Sum15052
Variance9.8262347
MonotonicityNot monotonic
2024-04-06T17:17:05.845360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 535
14.8%
3 520
14.4%
4 483
13.4%
1 440
12.2%
5 389
10.8%
6 297
8.2%
0 260
7.2%
7 216
6.0%
8 153
 
4.2%
9 109
 
3.0%
Other values (12) 211
 
5.8%
ValueCountFrequency (%)
0 260
7.2%
1 440
12.2%
2 535
14.8%
3 520
14.4%
4 483
13.4%
5 389
10.8%
6 297
8.2%
7 216
6.0%
8 153
 
4.2%
9 109
 
3.0%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
20 5
 
0.1%
18 3
 
0.1%
17 6
 
0.2%
16 9
 
0.2%
15 14
0.4%
14 18
0.5%
13 25
0.7%
12 23
0.6%

94세여자
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2812068
Minimum0
Maximum20
Zeros402
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:06.105533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6920319
Coefficient of variation (CV)0.8204396
Kurtosis2.8566539
Mean3.2812068
Median Absolute Deviation (MAD)2
Skewness1.3809314
Sum11855
Variance7.247036
MonotonicityNot monotonic
2024-04-06T17:17:06.561575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 686
19.0%
1 594
16.4%
3 565
15.6%
4 444
12.3%
0 402
11.1%
5 302
8.4%
6 200
 
5.5%
7 143
 
4.0%
8 105
 
2.9%
9 57
 
1.6%
Other values (9) 115
 
3.2%
ValueCountFrequency (%)
0 402
11.1%
1 594
16.4%
2 686
19.0%
3 565
15.6%
4 444
12.3%
5 302
8.4%
6 200
 
5.5%
7 143
 
4.0%
8 105
 
2.9%
9 57
 
1.6%
ValueCountFrequency (%)
20 2
 
0.1%
18 1
 
< 0.1%
16 4
 
0.1%
15 4
 
0.1%
14 13
 
0.4%
13 9
 
0.2%
12 12
 
0.3%
11 29
0.8%
10 41
1.1%
9 57
1.6%

95세여자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3567672
Minimum0
Maximum18
Zeros634
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:06.825453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0905
Coefficient of variation (CV)0.88702014
Kurtosis4.0919402
Mean2.3567672
Median Absolute Deviation (MAD)1
Skewness1.4995534
Sum8515
Variance4.3701902
MonotonicityNot monotonic
2024-04-06T17:17:07.047726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 836
23.1%
2 740
20.5%
0 634
17.5%
3 572
15.8%
4 333
 
9.2%
5 206
 
5.7%
6 136
 
3.8%
7 70
 
1.9%
8 37
 
1.0%
9 22
 
0.6%
Other values (8) 27
 
0.7%
ValueCountFrequency (%)
0 634
17.5%
1 836
23.1%
2 740
20.5%
3 572
15.8%
4 333
 
9.2%
5 206
 
5.7%
6 136
 
3.8%
7 70
 
1.9%
8 37
 
1.0%
9 22
 
0.6%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 2
 
0.1%
12 6
 
0.2%
11 5
 
0.1%
10 10
 
0.3%
9 22
0.6%
8 37
1.0%

96세여자
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6789372
Minimum0
Maximum14
Zeros936
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:07.251921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6356669
Coefficient of variation (CV)0.97422758
Kurtosis3.8229348
Mean1.6789372
Median Absolute Deviation (MAD)1
Skewness1.5070245
Sum6066
Variance2.6754062
MonotonicityNot monotonic
2024-04-06T17:17:07.471820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 1034
28.6%
0 936
25.9%
2 780
21.6%
3 423
11.7%
4 209
 
5.8%
5 126
 
3.5%
6 47
 
1.3%
7 36
 
1.0%
8 9
 
0.2%
9 8
 
0.2%
Other values (3) 5
 
0.1%
ValueCountFrequency (%)
0 936
25.9%
1 1034
28.6%
2 780
21.6%
3 423
11.7%
4 209
 
5.8%
5 126
 
3.5%
6 47
 
1.3%
7 36
 
1.0%
8 9
 
0.2%
9 8
 
0.2%
ValueCountFrequency (%)
14 2
 
0.1%
11 1
 
< 0.1%
10 2
 
0.1%
9 8
 
0.2%
8 9
 
0.2%
7 36
 
1.0%
6 47
 
1.3%
5 126
 
3.5%
4 209
5.8%
3 423
11.7%

97세여자
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0642126
Minimum0
Maximum12
Zeros1453
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:07.681723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2257733
Coefficient of variation (CV)1.1518124
Kurtosis4.9918301
Mean1.0642126
Median Absolute Deviation (MAD)1
Skewness1.6931962
Sum3845
Variance1.5025201
MonotonicityNot monotonic
2024-04-06T17:17:07.885999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1453
40.2%
1 1155
32.0%
2 593
16.4%
3 255
 
7.1%
4 93
 
2.6%
5 40
 
1.1%
6 12
 
0.3%
7 7
 
0.2%
8 2
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
0 1453
40.2%
1 1155
32.0%
2 593
16.4%
3 255
 
7.1%
4 93
 
2.6%
5 40
 
1.1%
6 12
 
0.3%
7 7
 
0.2%
8 2
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
9 2
 
0.1%
8 2
 
0.1%
7 7
 
0.2%
6 12
 
0.3%
5 40
 
1.1%
4 93
 
2.6%
3 255
 
7.1%
2 593
16.4%
1 1155
32.0%

98세여자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65790202
Minimum0
Maximum7
Zeros2025
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:08.086754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93935236
Coefficient of variation (CV)1.4277998
Kurtosis5.6361162
Mean0.65790202
Median Absolute Deviation (MAD)0
Skewness1.9576199
Sum2377
Variance0.88238286
MonotonicityNot monotonic
2024-04-06T17:17:08.298447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2025
56.0%
1 1056
29.2%
2 364
 
10.1%
3 113
 
3.1%
4 35
 
1.0%
5 10
 
0.3%
6 6
 
0.2%
7 4
 
0.1%
ValueCountFrequency (%)
0 2025
56.0%
1 1056
29.2%
2 364
 
10.1%
3 113
 
3.1%
4 35
 
1.0%
5 10
 
0.3%
6 6
 
0.2%
7 4
 
0.1%
ValueCountFrequency (%)
7 4
 
0.1%
6 6
 
0.2%
5 10
 
0.3%
4 35
 
1.0%
3 113
 
3.1%
2 364
 
10.1%
1 1056
29.2%
0 2025
56.0%

99세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39966787
Minimum0
Maximum6
Zeros2491
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:08.531636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.69104372
Coefficient of variation (CV)1.729045
Kurtosis7.1926733
Mean0.39966787
Median Absolute Deviation (MAD)0
Skewness2.203635
Sum1444
Variance0.47754142
MonotonicityNot monotonic
2024-04-06T17:17:08.741544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2491
68.9%
1 876
 
24.2%
2 191
 
5.3%
3 41
 
1.1%
4 10
 
0.3%
6 3
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2491
68.9%
1 876
 
24.2%
2 191
 
5.3%
3 41
 
1.1%
4 10
 
0.3%
5 1
 
< 0.1%
6 3
 
0.1%
ValueCountFrequency (%)
6 3
 
0.1%
5 1
 
< 0.1%
4 10
 
0.3%
3 41
 
1.1%
2 191
 
5.3%
1 876
 
24.2%
0 2491
68.9%

100세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30833103
Minimum0
Maximum5
Zeros2716
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:17:08.936214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60326705
Coefficient of variation (CV)1.9565564
Kurtosis6.7028373
Mean0.30833103
Median Absolute Deviation (MAD)0
Skewness2.304124
Sum1114
Variance0.36393113
MonotonicityNot monotonic
2024-04-06T17:17:09.285780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2716
75.2%
1 725
 
20.1%
2 135
 
3.7%
3 31
 
0.9%
4 4
 
0.1%
5 2
 
0.1%
ValueCountFrequency (%)
0 2716
75.2%
1 725
 
20.1%
2 135
 
3.7%
3 31
 
0.9%
4 4
 
0.1%
5 2
 
0.1%
ValueCountFrequency (%)
5 2
 
0.1%
4 4
 
0.1%
3 31
 
0.9%
2 135
 
3.7%
1 725
 
20.1%
0 2716
75.2%

101세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
2917 
1
584 
2
 
92
3
 
16
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 2917
80.7%
1 584
 
16.2%
2 92
 
2.5%
3 16
 
0.4%
4 4
 
0.1%

Length

2024-04-06T17:17:09.541249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:09.758529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2917
80.7%
1 584
 
16.2%
2 92
 
2.5%
3 16
 
0.4%
4 4
 
0.1%

102세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3195 
1
385 
2
 
27
3
 
4
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3195
88.4%
1 385
 
10.7%
2 27
 
0.7%
3 4
 
0.1%
4 2
 
0.1%

Length

2024-04-06T17:17:09.990597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:10.318529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3195
88.4%
1 385
 
10.7%
2 27
 
0.7%
3 4
 
0.1%
4 2
 
0.1%

103세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3333 
1
 
263
2
 
16
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 3333
92.3%
1 263
 
7.3%
2 16
 
0.4%
3 1
 
< 0.1%

Length

2024-04-06T17:17:10.568192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:10.822474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3333
92.3%
1 263
 
7.3%
2 16
 
0.4%
3 1
 
< 0.1%

104세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3456 
1
 
154
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 3456
95.7%
1 154
 
4.3%
2 2
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:17:11.080599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:11.289845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3456
95.7%
1 154
 
4.3%
2 2
 
0.1%
3 1
 
< 0.1%

105세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3515 
1
 
97
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 3515
97.3%
1 97
 
2.7%
2 1
 
< 0.1%

Length

2024-04-06T17:17:11.524519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:11.725231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3515
97.3%
1 97
 
2.7%
2 1
 
< 0.1%

106세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3543 
1
 
70

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 3543
98.1%
1 70
 
1.9%

Length

2024-04-06T17:17:11.940932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:12.132210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3543
98.1%
1 70
 
1.9%

107세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3557 
1
 
55
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 3557
98.5%
1 55
 
1.5%
2 1
 
< 0.1%

Length

2024-04-06T17:17:12.341474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:12.533642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3557
98.5%
1 55
 
1.5%
2 1
 
< 0.1%

108세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3564 
1
 
49

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 3564
98.6%
1 49
 
1.4%

Length

2024-04-06T17:17:12.745800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:13.452367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3564
98.6%
1 49
 
1.4%

109세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3580 
1
 
33

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3580
99.1%
1 33
 
0.9%

Length

2024-04-06T17:17:13.658076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:13.871300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
99.1%
1 33
 
0.9%

110세이상 여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3536 
1
 
73
2
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3536
97.9%
1 73
 
2.0%
2 3
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:17:14.241753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:14.467144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3536
97.9%
1 73
 
2.0%
2 3
 
0.1%
3 1
 
< 0.1%

Sample

행정기관코드기준연월시도명시군구명읍면동명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
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행정기관코드기준연월시도명시군구명읍면동명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
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