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

Numeric179
Categorical49
Text2

Dataset

Description행정동(읍면동)별 성별 연령별 1인세대 현황에 대한 데이터입니다.행정동은 주민들이 거주하는 지역을 행정능률과 주민편의를 위하여 구분한 행정구역 단위입니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15097973/fileData.do

Alerts

기준연월 has constant value ""Constant
0세남자 is highly imbalanced (97.5%)Imbalance
1세남자 is highly imbalanced (95.5%)Imbalance
2세남자 is highly imbalanced (91.8%)Imbalance
3세남자 is highly imbalanced (90.1%)Imbalance
4세남자 is highly imbalanced (89.9%)Imbalance
5세남자 is highly imbalanced (87.5%)Imbalance
6세남자 is highly imbalanced (87.0%)Imbalance
7세남자 is highly imbalanced (85.6%)Imbalance
8세남자 is highly imbalanced (83.8%)Imbalance
9세남자 is highly imbalanced (80.1%)Imbalance
11세남자 is highly imbalanced (80.0%)Imbalance
96세남자 is highly imbalanced (62.1%)Imbalance
97세남자 is highly imbalanced (67.8%)Imbalance
98세남자 is highly imbalanced (77.5%)Imbalance
99세남자 is highly imbalanced (83.5%)Imbalance
100세남자 is highly imbalanced (83.8%)Imbalance
101세남자 is highly imbalanced (88.7%)Imbalance
102세남자 is highly imbalanced (85.6%)Imbalance
103세남자 is highly imbalanced (93.9%)Imbalance
104세남자 is highly imbalanced (94.6%)Imbalance
105세남자 is highly imbalanced (95.9%)Imbalance
106세남자 is highly imbalanced (96.8%)Imbalance
107세남자 is highly imbalanced (96.8%)Imbalance
108세남자 is highly imbalanced (98.5%)Imbalance
109세남자 is highly imbalanced (99.0%)Imbalance
110세이상 남자 is highly imbalanced (98.5%)Imbalance
0세여자 is highly imbalanced (96.8%)Imbalance
1세여자 is highly imbalanced (93.5%)Imbalance
2세여자 is highly imbalanced (92.7%)Imbalance
3세여자 is highly imbalanced (91.2%)Imbalance
4세여자 is highly imbalanced (87.4%)Imbalance
5세여자 is highly imbalanced (87.9%)Imbalance
6세여자 is highly imbalanced (86.3%)Imbalance
7세여자 is highly imbalanced (84.0%)Imbalance
9세여자 is highly imbalanced (82.8%)Imbalance
10세여자 is highly imbalanced (81.1%)Imbalance
12세여자 is highly imbalanced (81.3%)Imbalance
101세여자 is highly imbalanced (67.0%)Imbalance
102세여자 is highly imbalanced (74.6%)Imbalance
103세여자 is highly imbalanced (76.5%)Imbalance
104세여자 is highly imbalanced (84.6%)Imbalance
105세여자 is highly imbalanced (89.2%)Imbalance
106세여자 is highly imbalanced (87.0%)Imbalance
107세여자 is highly imbalanced (93.3%)Imbalance
108세여자 is highly imbalanced (90.5%)Imbalance
109세여자 is highly imbalanced (93.1%)Imbalance
110세이상 여자 is highly imbalanced (92.8%)Imbalance
14세남자 is highly skewed (γ1 = 20.69363979)Skewed
15세남자 is highly skewed (γ1 = 25.42925655)Skewed
16세남자 is highly skewed (γ1 = 26.45601871)Skewed
17세남자 is highly skewed (γ1 = 28.1942225)Skewed
행정기관코드 has unique valuesUnique
10세남자 has 3342 (92.5%) zerosZeros
12세남자 has 3302 (91.4%) zerosZeros
13세남자 has 3265 (90.4%) zerosZeros
14세남자 has 3285 (90.9%) zerosZeros
15세남자 has 3183 (88.1%) zerosZeros
16세남자 has 3097 (85.7%) zerosZeros
17세남자 has 3038 (84.1%) zerosZeros
18세남자 has 2333 (64.6%) zerosZeros
19세남자 has 1734 (48.0%) zerosZeros
20세남자 has 1403 (38.8%) zerosZeros
21세남자 has 1089 (30.1%) zerosZeros
22세남자 has 768 (21.3%) zerosZeros
23세남자 has 569 (15.7%) zerosZeros
24세남자 has 454 (12.6%) zerosZeros
25세남자 has 345 (9.5%) zerosZeros
26세남자 has 295 (8.2%) zerosZeros
27세남자 has 268 (7.4%) zerosZeros
28세남자 has 218 (6.0%) zerosZeros
29세남자 has 235 (6.5%) zerosZeros
30세남자 has 231 (6.4%) zerosZeros
31세남자 has 211 (5.8%) zerosZeros
32세남자 has 228 (6.3%) zerosZeros
33세남자 has 251 (6.9%) zerosZeros
34세남자 has 246 (6.8%) zerosZeros
35세남자 has 248 (6.9%) zerosZeros
36세남자 has 224 (6.2%) zerosZeros
37세남자 has 226 (6.3%) zerosZeros
38세남자 has 188 (5.2%) zerosZeros
39세남자 has 203 (5.6%) zerosZeros
40세남자 has 145 (4.0%) zerosZeros
41세남자 has 123 (3.4%) zerosZeros
42세남자 has 104 (2.9%) zerosZeros
43세남자 has 106 (2.9%) zerosZeros
44세남자 has 94 (2.6%) zerosZeros
45세남자 has 82 (2.3%) zerosZeros
46세남자 has 74 (2.0%) zerosZeros
47세남자 has 60 (1.7%) zerosZeros
48세남자 has 39 (1.1%) zerosZeros
72세남자 has 39 (1.1%) zerosZeros
73세남자 has 39 (1.1%) zerosZeros
74세남자 has 42 (1.2%) zerosZeros
75세남자 has 40 (1.1%) zerosZeros
76세남자 has 63 (1.7%) zerosZeros
77세남자 has 85 (2.4%) zerosZeros
78세남자 has 142 (3.9%) zerosZeros
79세남자 has 138 (3.8%) zerosZeros
80세남자 has 168 (4.6%) zerosZeros
81세남자 has 109 (3.0%) zerosZeros
82세남자 has 141 (3.9%) zerosZeros
83세남자 has 242 (6.7%) zerosZeros
84세남자 has 257 (7.1%) zerosZeros
85세남자 has 308 (8.5%) zerosZeros
86세남자 has 400 (11.1%) zerosZeros
87세남자 has 480 (13.3%) zerosZeros
88세남자 has 600 (16.6%) zerosZeros
89세남자 has 742 (20.5%) zerosZeros
90세남자 has 1073 (29.7%) zerosZeros
91세남자 has 1328 (36.8%) zerosZeros
92세남자 has 1718 (47.6%) zerosZeros
93세남자 has 2141 (59.3%) zerosZeros
94세남자 has 2306 (63.8%) zerosZeros
95세남자 has 2612 (72.3%) zerosZeros
8세여자 has 3402 (94.2%) zerosZeros
11세여자 has 3298 (91.3%) zerosZeros
13세여자 has 3295 (91.2%) zerosZeros
14세여자 has 3279 (90.8%) zerosZeros
15세여자 has 3209 (88.8%) zerosZeros
16세여자 has 3117 (86.3%) zerosZeros
17세여자 has 3048 (84.4%) zerosZeros
18세여자 has 2364 (65.4%) zerosZeros
19세여자 has 1742 (48.2%) zerosZeros
20세여자 has 1406 (38.9%) zerosZeros
21세여자 has 1201 (33.2%) zerosZeros
22세여자 has 930 (25.7%) zerosZeros
23세여자 has 746 (20.6%) zerosZeros
24세여자 has 648 (17.9%) zerosZeros
25세여자 has 563 (15.6%) zerosZeros
26세여자 has 526 (14.6%) zerosZeros
27세여자 has 489 (13.5%) zerosZeros
28세여자 has 464 (12.8%) zerosZeros
29세여자 has 473 (13.1%) zerosZeros
30세여자 has 475 (13.1%) zerosZeros
31세여자 has 473 (13.1%) zerosZeros
32세여자 has 513 (14.2%) zerosZeros
33세여자 has 514 (14.2%) zerosZeros
34세여자 has 561 (15.5%) zerosZeros
35세여자 has 556 (15.4%) zerosZeros
36세여자 has 580 (16.1%) zerosZeros
37세여자 has 563 (15.6%) zerosZeros
38세여자 has 550 (15.2%) zerosZeros
39세여자 has 522 (14.4%) zerosZeros
40세여자 has 457 (12.6%) zerosZeros
41세여자 has 422 (11.7%) zerosZeros
42세여자 has 389 (10.8%) zerosZeros
43세여자 has 382 (10.6%) zerosZeros
44세여자 has 397 (11.0%) zerosZeros
45세여자 has 411 (11.4%) zerosZeros
46세여자 has 341 (9.4%) zerosZeros
47세여자 has 332 (9.2%) zerosZeros
48세여자 has 280 (7.7%) zerosZeros
49세여자 has 218 (6.0%) zerosZeros
50세여자 has 198 (5.5%) zerosZeros
51세여자 has 145 (4.0%) zerosZeros
52세여자 has 139 (3.8%) zerosZeros
53세여자 has 91 (2.5%) zerosZeros
54세여자 has 77 (2.1%) zerosZeros
55세여자 has 63 (1.7%) zerosZeros
56세여자 has 59 (1.6%) zerosZeros
57세여자 has 52 (1.4%) zerosZeros
58세여자 has 42 (1.2%) zerosZeros
59세여자 has 38 (1.1%) zerosZeros
60세여자 has 43 (1.2%) zerosZeros
88세여자 has 38 (1.1%) zerosZeros
89세여자 has 55 (1.5%) zerosZeros
90세여자 has 83 (2.3%) zerosZeros
91세여자 has 135 (3.7%) zerosZeros
92세여자 has 214 (5.9%) zerosZeros
93세여자 has 363 (10.0%) zerosZeros
94세여자 has 520 (14.4%) zerosZeros
95세여자 has 807 (22.3%) zerosZeros
96세여자 has 1135 (31.4%) zerosZeros
97세여자 has 1660 (45.9%) zerosZeros
98세여자 has 2202 (60.9%) zerosZeros
99세여자 has 2646 (73.2%) zerosZeros
100세여자 has 2817 (78.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:19:32.372694
Analysis finished2024-04-06 08:19:37.427782
Duration5.06 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
2024-04-06T17:19:37.592618image/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
2024-04-06T17:19:37.924934image/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
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
2024-03-31
3613 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2024-03-31 3613
100.0%

Length

2024-04-06T17:19:38.274164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:38.479262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-31 3613
100.0%

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

2024-04-06T17:19:38.724500image/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
2024-04-06T17:19:39.356505image/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%
2024-04-06T17:19:40.258402image/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
2024-04-06T17:19:40.879595image/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%
2024-04-06T17:19:41.737884image/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)

Distinct2647
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.7097
Minimum22
Maximum18547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:42.041660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile467.6
Q1975
median2107
Q33794
95-th percentile7484.8
Maximum18547
Range18525
Interquartile range (IQR)2819

Descriptive statistics

Standard deviation2398.4837
Coefficient of variation (CV)0.86472053
Kurtosis5.2820727
Mean2773.7097
Median Absolute Deviation (MAD)1280
Skewness1.8874408
Sum10021413
Variance5752724
MonotonicityNot monotonic
2024-04-06T17:19:42.345506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711 8
 
0.2%
608 6
 
0.2%
590 6
 
0.2%
748 6
 
0.2%
651 5
 
0.1%
522 5
 
0.1%
701 5
 
0.1%
518 5
 
0.1%
657 5
 
0.1%
2925 5
 
0.1%
Other values (2637) 3557
98.5%
ValueCountFrequency (%)
22 1
< 0.1%
29 1
< 0.1%
40 1
< 0.1%
50 1
< 0.1%
53 1
< 0.1%
66 1
< 0.1%
71 1
< 0.1%
74 1
< 0.1%
91 1
< 0.1%
92 1
< 0.1%
ValueCountFrequency (%)
18547 1
< 0.1%
18032 1
< 0.1%
17650 1
< 0.1%
17645 1
< 0.1%
17044 1
< 0.1%
16491 1
< 0.1%
15622 1
< 0.1%
15369 1
< 0.1%
15362 1
< 0.1%
15192 1
< 0.1%

남자
Real number (ℝ)

Distinct2114
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1426.6283
Minimum11
Maximum12374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:42.635188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile228.6
Q1490
median1047
Q31938
95-th percentile3959.4
Maximum12374
Range12363
Interquartile range (IQR)1448

Descriptive statistics

Standard deviation1313.4208
Coefficient of variation (CV)0.92064685
Kurtosis7.1505617
Mean1426.6283
Median Absolute Deviation (MAD)637
Skewness2.1694571
Sum5154408
Variance1725074.3
MonotonicityNot monotonic
2024-04-06T17:19:42.928611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389 9
 
0.2%
288 7
 
0.2%
394 7
 
0.2%
292 7
 
0.2%
718 7
 
0.2%
305 7
 
0.2%
524 7
 
0.2%
502 7
 
0.2%
605 6
 
0.2%
1219 6
 
0.2%
Other values (2104) 3543
98.1%
ValueCountFrequency (%)
11 1
< 0.1%
13 1
< 0.1%
22 1
< 0.1%
26 1
< 0.1%
29 1
< 0.1%
34 1
< 0.1%
38 1
< 0.1%
42 1
< 0.1%
48 1
< 0.1%
50 2
0.1%
ValueCountFrequency (%)
12374 1
< 0.1%
10424 1
< 0.1%
9584 1
< 0.1%
9107 1
< 0.1%
9104 1
< 0.1%
9098 1
< 0.1%
8874 1
< 0.1%
8752 1
< 0.1%
8688 1
< 0.1%
8352 1
< 0.1%

여자
Real number (ℝ)

Distinct2080
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1347.0814
Minimum9
Maximum9280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:43.224033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile226
Q1475
median1046
Q31858
95-th percentile3513
Maximum9280
Range9271
Interquartile range (IQR)1383

Descriptive statistics

Standard deviation1138.1363
Coefficient of variation (CV)0.84489051
Kurtosis5.0764762
Mean1347.0814
Median Absolute Deviation (MAD)629
Skewness1.8144099
Sum4867005
Variance1295354.2
MonotonicityNot monotonic
2024-04-06T17:19:43.528268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283 8
 
0.2%
417 8
 
0.2%
344 8
 
0.2%
384 8
 
0.2%
594 7
 
0.2%
315 7
 
0.2%
538 7
 
0.2%
468 7
 
0.2%
347 7
 
0.2%
340 6
 
0.2%
Other values (2070) 3540
98.0%
ValueCountFrequency (%)
9 1
< 0.1%
12 1
< 0.1%
18 2
0.1%
27 1
< 0.1%
31 1
< 0.1%
32 2
0.1%
33 1
< 0.1%
36 1
< 0.1%
37 1
< 0.1%
39 1
< 0.1%
ValueCountFrequency (%)
9280 1
< 0.1%
8776 1
< 0.1%
8444 1
< 0.1%
7956 1
< 0.1%
7940 1
< 0.1%
7915 1
< 0.1%
7716 1
< 0.1%
7663 1
< 0.1%
7384 1
< 0.1%
7221 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

2024-04-06T17:19:43.816305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:44.035177image/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
3583 
1
 
29
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 3583
99.2%
1 29
 
0.8%
3 1
 
< 0.1%

Length

2024-04-06T17:19:44.246263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:44.444045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3583
99.2%
1 29
 
0.8%
3 1
 
< 0.1%

2세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3552 
1
 
57
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 3552
98.3%
1 57
 
1.6%
2 4
 
0.1%

Length

2024-04-06T17:19:44.658738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:44.985694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3552
98.3%
1 57
 
1.6%
2 4
 
0.1%

3세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3533 
1
 
78
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 3533
97.8%
1 78
 
2.2%
2 2
 
0.1%

Length

2024-04-06T17:19:45.206560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:45.474230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3533
97.8%
1 78
 
2.2%
2 2
 
0.1%

4세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3503 
1
 
107
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 3503
97.0%
1 107
 
3.0%
2 2
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:19:45.664064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:45.894689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3503
97.0%
1 107
 
3.0%
2 2
 
0.1%
3 1
 
< 0.1%

5세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3476 
1
 
125
2
 
11
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 3476
96.2%
1 125
 
3.5%
2 11
 
0.3%
4 1
 
< 0.1%

Length

2024-04-06T17:19:46.137441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:46.398649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3476
96.2%
1 125
 
3.5%
2 11
 
0.3%
4 1
 
< 0.1%

6세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3474 
1
 
122
2
 
13
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 3474
96.2%
1 122
 
3.4%
2 13
 
0.4%
3 4
 
0.1%

Length

2024-04-06T17:19:46.624568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:46.879462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3474
96.2%
1 122
 
3.4%
2 13
 
0.4%
3 4
 
0.1%

7세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3413 
1
 
186
2
 
10
3
 
3
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 3413
94.5%
1 186
 
5.1%
2 10
 
0.3%
3 3
 
0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:19:47.234108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:47.897441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3413
94.5%
1 186
 
5.1%
2 10
 
0.3%
3 3
 
0.1%
4 1
 
< 0.1%

8세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3413 
1
 
192
2
 
5
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 3413
94.5%
1 192
 
5.3%
2 5
 
0.1%
3 3
 
0.1%

Length

2024-04-06T17:19:48.160914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:48.387196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3413
94.5%
1 192
 
5.3%
2 5
 
0.1%
3 3
 
0.1%

9세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3370 
1
 
211
2
 
27
3
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3370
93.3%
1 211
 
5.8%
2 27
 
0.7%
3 5
 
0.1%

Length

2024-04-06T17:19:48.637948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:48.861996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3370
93.3%
1 211
 
5.8%
2 27
 
0.7%
3 5
 
0.1%

10세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.087185165
Minimum0
Maximum6
Zeros3342
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:49.052106image/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 deviation0.33836322
Coefficient of variation (CV)3.8809724
Kurtosis47.265799
Mean0.087185165
Median Absolute Deviation (MAD)0
Skewness5.4519338
Sum315
Variance0.11448967
MonotonicityNot monotonic
2024-04-06T17:19:49.285276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3342
92.5%
1 239
 
6.6%
2 24
 
0.7%
3 6
 
0.2%
6 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 3342
92.5%
1 239
 
6.6%
2 24
 
0.7%
3 6
 
0.2%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 6
 
0.2%
2 24
 
0.7%
1 239
 
6.6%
0 3342
92.5%

11세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3315 
1
 
262
2
 
28
3
 
6
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 3315
91.8%
1 262
 
7.3%
2 28
 
0.8%
3 6
 
0.2%
4 2
 
0.1%

Length

2024-04-06T17:19:49.545026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:49.795147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3315
91.8%
1 262
 
7.3%
2 28
 
0.8%
3 6
 
0.2%
4 2
 
0.1%

12세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10296153
Minimum0
Maximum16
Zeros3302
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:50.003523image/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 deviation0.43697411
Coefficient of variation (CV)4.2440524
Kurtosis493.58417
Mean0.10296153
Median Absolute Deviation (MAD)0
Skewness15.494058
Sum372
Variance0.19094638
MonotonicityNot monotonic
2024-04-06T17:19:50.237431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3302
91.4%
1 274
 
7.6%
2 28
 
0.8%
3 6
 
0.2%
4 2
 
0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
0 3302
91.4%
1 274
 
7.6%
2 28
 
0.8%
3 6
 
0.2%
4 2
 
0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
4 2
 
0.1%
3 6
 
0.2%
2 28
 
0.8%
1 274
 
7.6%
0 3302
91.4%

13세남자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1212289
Minimum0
Maximum12
Zeros3265
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:50.482857image/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 deviation0.46377697
Coefficient of variation (CV)3.8256306
Kurtosis155.08231
Mean0.1212289
Median Absolute Deviation (MAD)0
Skewness8.9112131
Sum438
Variance0.21508908
MonotonicityNot monotonic
2024-04-06T17:19:50.758649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3265
90.4%
1 294
 
8.1%
2 40
 
1.1%
3 7
 
0.2%
4 3
 
0.1%
6 2
 
0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 3265
90.4%
1 294
 
8.1%
2 40
 
1.1%
3 7
 
0.2%
4 3
 
0.1%
6 2
 
0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
0.1%
4 3
 
0.1%
3 7
 
0.2%
2 40
 
1.1%
1 294
 
8.1%
0 3265
90.4%

14세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12178245
Minimum0
Maximum22
Zeros3285
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:50.992544image/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 deviation0.63017859
Coefficient of variation (CV)5.1746256
Kurtosis635.53875
Mean0.12178245
Median Absolute Deviation (MAD)0
Skewness20.69364
Sum440
Variance0.39712506
MonotonicityNot monotonic
2024-04-06T17:19:51.214594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3285
90.9%
1 278
 
7.7%
2 33
 
0.9%
3 12
 
0.3%
6 1
 
< 0.1%
5 1
 
< 0.1%
22 1
 
< 0.1%
19 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 3285
90.9%
1 278
 
7.7%
2 33
 
0.9%
3 12
 
0.3%
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%
3 12
 
0.3%
2 33
 
0.9%
1 278
 
7.7%
0 3285
90.9%

15세남자
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3354553
Minimum0
Maximum125
Zeros3183
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:51.448716image/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 deviation3.2538174
Coefficient of variation (CV)9.6997049
Kurtosis803.11406
Mean0.3354553
Median Absolute Deviation (MAD)0
Skewness25.429257
Sum1212
Variance10.587328
MonotonicityNot monotonic
2024-04-06T17:19:51.727067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3183
88.1%
1 339
 
9.4%
2 49
 
1.4%
4 5
 
0.1%
5 5
 
0.1%
3 4
 
0.1%
19 3
 
0.1%
8 3
 
0.1%
24 2
 
0.1%
9 2
 
0.1%
Other values (15) 18
 
0.5%
ValueCountFrequency (%)
0 3183
88.1%
1 339
 
9.4%
2 49
 
1.4%
3 4
 
0.1%
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%
86 1
< 0.1%
68 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 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45308608
Minimum0
Maximum156
Zeros3097
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:51.990688image/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 deviation4.332182
Coefficient of variation (CV)9.5614989
Kurtosis840.23199
Mean0.45308608
Median Absolute Deviation (MAD)0
Skewness26.456019
Sum1637
Variance18.767801
MonotonicityNot monotonic
2024-04-06T17:19:52.333941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 3097
85.7%
1 380
 
10.5%
2 68
 
1.9%
4 13
 
0.4%
3 8
 
0.2%
7 7
 
0.2%
9 4
 
0.1%
5 4
 
0.1%
6 3
 
0.1%
13 3
 
0.1%
Other values (19) 26
 
0.7%
ValueCountFrequency (%)
0 3097
85.7%
1 380
 
10.5%
2 68
 
1.9%
3 8
 
0.2%
4 13
 
0.4%
5 4
 
0.1%
6 3
 
0.1%
7 7
 
0.2%
8 3
 
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 

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45696097
Minimum0
Maximum179
Zeros3038
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:52.840675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum179
Range179
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3181401
Coefficient of variation (CV)9.4496912
Kurtosis981.0117
Mean0.45696097
Median Absolute Deviation (MAD)0
Skewness28.194222
Sum1651
Variance18.646334
MonotonicityNot monotonic
2024-04-06T17:19:53.121935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 3038
84.1%
1 417
 
11.5%
2 89
 
2.5%
3 19
 
0.5%
6 7
 
0.2%
4 6
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
9 3
 
0.1%
5 3
 
0.1%
Other values (17) 24
 
0.7%
ValueCountFrequency (%)
0 3038
84.1%
1 417
 
11.5%
2 89
 
2.5%
3 19
 
0.5%
4 6
 
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%
107 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 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5123166
Minimum0
Maximum182
Zeros2333
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:53.389803image/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 deviation6.6649922
Coefficient of variation (CV)4.4071407
Kurtosis263.80189
Mean1.5123166
Median Absolute Deviation (MAD)0
Skewness13.819844
Sum5464
Variance44.422121
MonotonicityNot monotonic
2024-04-06T17:19:53.650544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2333
64.6%
1 612
 
16.9%
2 243
 
6.7%
3 113
 
3.1%
4 74
 
2.0%
6 41
 
1.1%
5 40
 
1.1%
7 19
 
0.5%
9 16
 
0.4%
12 15
 
0.4%
Other values (41) 107
 
3.0%
ValueCountFrequency (%)
0 2333
64.6%
1 612
 
16.9%
2 243
 
6.7%
3 113
 
3.1%
4 74
 
2.0%
5 40
 
1.1%
6 41
 
1.1%
7 19
 
0.5%
8 15
 
0.4%
9 16
 
0.4%
ValueCountFrequency (%)
182 1
< 0.1%
125 1
< 0.1%
118 1
< 0.1%
116 1
< 0.1%
94 1
< 0.1%
77 1
< 0.1%
74 1
< 0.1%
70 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%

19세남자
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0680875
Minimum0
Maximum218
Zeros1734
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:53.924041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile12
Maximum218
Range218
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.398314
Coefficient of variation (CV)3.3891843
Kurtosis138.1787
Mean3.0680875
Median Absolute Deviation (MAD)1
Skewness9.8898148
Sum11085
Variance108.12493
MonotonicityNot monotonic
2024-04-06T17:19:54.210297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1734
48.0%
1 724
20.0%
2 338
 
9.4%
3 205
 
5.7%
4 123
 
3.4%
5 83
 
2.3%
8 52
 
1.4%
6 48
 
1.3%
7 44
 
1.2%
9 33
 
0.9%
Other values (61) 229
 
6.3%
ValueCountFrequency (%)
0 1734
48.0%
1 724
20.0%
2 338
 
9.4%
3 205
 
5.7%
4 123
 
3.4%
5 83
 
2.3%
6 48
 
1.3%
7 44
 
1.2%
8 52
 
1.4%
9 33
 
0.9%
ValueCountFrequency (%)
218 1
< 0.1%
182 1
< 0.1%
171 1
< 0.1%
156 1
< 0.1%
139 1
< 0.1%
136 1
< 0.1%
108 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
88 1
< 0.1%

20세남자
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.93385
Minimum0
Maximum160
Zeros1403
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:54.455987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16
Maximum160
Range160
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.034568
Coefficient of variation (CV)2.8050301
Kurtosis73.643204
Mean3.93385
Median Absolute Deviation (MAD)1
Skewness7.4942186
Sum14213
Variance121.76168
MonotonicityNot monotonic
2024-04-06T17:19:54.733590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1403
38.8%
1 714
19.8%
2 392
 
10.8%
3 243
 
6.7%
4 176
 
4.9%
5 110
 
3.0%
6 91
 
2.5%
8 62
 
1.7%
7 59
 
1.6%
9 40
 
1.1%
Other values (70) 323
 
8.9%
ValueCountFrequency (%)
0 1403
38.8%
1 714
19.8%
2 392
 
10.8%
3 243
 
6.7%
4 176
 
4.9%
5 110
 
3.0%
6 91
 
2.5%
7 59
 
1.6%
8 62
 
1.7%
9 40
 
1.1%
ValueCountFrequency (%)
160 1
< 0.1%
151 1
< 0.1%
146 1
< 0.1%
143 1
< 0.1%
140 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%
118 1
< 0.1%
116 1
< 0.1%
107 1
< 0.1%

21세남자
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3946859
Minimum0
Maximum199
Zeros1089
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:55.051092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile27
Maximum199
Range199
Interquartile range (IQR)5

Descriptive statistics

Standard deviation16.146351
Coefficient of variation (CV)2.5249639
Kurtosis46.715464
Mean6.3946859
Median Absolute Deviation (MAD)2
Skewness6.0489664
Sum23104
Variance260.70465
MonotonicityNot monotonic
2024-04-06T17:19:55.393851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1089
30.1%
1 604
16.7%
2 406
 
11.2%
3 267
 
7.4%
4 215
 
6.0%
5 154
 
4.3%
6 112
 
3.1%
7 99
 
2.7%
8 65
 
1.8%
9 61
 
1.7%
Other values (98) 541
15.0%
ValueCountFrequency (%)
0 1089
30.1%
1 604
16.7%
2 406
 
11.2%
3 267
 
7.4%
4 215
 
6.0%
5 154
 
4.3%
6 112
 
3.1%
7 99
 
2.7%
8 65
 
1.8%
9 61
 
1.7%
ValueCountFrequency (%)
199 1
< 0.1%
186 1
< 0.1%
179 1
< 0.1%
178 1
< 0.1%
168 1
< 0.1%
167 1
< 0.1%
164 1
< 0.1%
158 1
< 0.1%
156 1
< 0.1%
151 1
< 0.1%

22세남자
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.962635
Minimum0
Maximum367
Zeros768
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:55.685763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile45
Maximum367
Range367
Interquartile range (IQR)8

Descriptive statistics

Standard deviation27.761063
Coefficient of variation (CV)2.5323349
Kurtosis51.067351
Mean10.962635
Median Absolute Deviation (MAD)3
Skewness6.2779311
Sum39608
Variance770.67662
MonotonicityNot monotonic
2024-04-06T17:19:55.977943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 768
21.3%
1 543
15.0%
2 345
 
9.5%
3 275
 
7.6%
4 191
 
5.3%
5 170
 
4.7%
6 140
 
3.9%
7 114
 
3.2%
8 107
 
3.0%
9 86
 
2.4%
Other values (134) 874
24.2%
ValueCountFrequency (%)
0 768
21.3%
1 543
15.0%
2 345
9.5%
3 275
 
7.6%
4 191
 
5.3%
5 170
 
4.7%
6 140
 
3.9%
7 114
 
3.2%
8 107
 
3.0%
9 86
 
2.4%
ValueCountFrequency (%)
367 1
< 0.1%
333 2
0.1%
318 1
< 0.1%
298 1
< 0.1%
290 1
< 0.1%
279 1
< 0.1%
274 1
< 0.1%
265 1
< 0.1%
264 1
< 0.1%
253 1
< 0.1%

23세남자
Real number (ℝ)

ZEROS 

Distinct187
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.742873
Minimum0
Maximum564
Zeros569
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:56.268472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile67
Maximum564
Range564
Interquartile range (IQR)14

Descriptive statistics

Standard deviation40.423499
Coefficient of variation (CV)2.4143705
Kurtosis54.33852
Mean16.742873
Median Absolute Deviation (MAD)5
Skewness6.3249847
Sum60492
Variance1634.0593
MonotonicityNot monotonic
2024-04-06T17:19:56.686083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 569
15.7%
1 471
 
13.0%
2 304
 
8.4%
3 210
 
5.8%
4 182
 
5.0%
5 162
 
4.5%
7 135
 
3.7%
6 111
 
3.1%
8 105
 
2.9%
10 89
 
2.5%
Other values (177) 1275
35.3%
ValueCountFrequency (%)
0 569
15.7%
1 471
13.0%
2 304
8.4%
3 210
 
5.8%
4 182
 
5.0%
5 162
 
4.5%
6 111
 
3.1%
7 135
 
3.7%
8 105
 
2.9%
9 83
 
2.3%
ValueCountFrequency (%)
564 1
< 0.1%
527 1
< 0.1%
514 1
< 0.1%
502 1
< 0.1%
488 1
< 0.1%
422 1
< 0.1%
387 1
< 0.1%
374 1
< 0.1%
348 1
< 0.1%
339 1
< 0.1%

24세남자
Real number (ℝ)

ZEROS 

Distinct192
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.939662
Minimum0
Maximum569
Zeros454
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:57.059838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q320
95-th percentile83.4
Maximum569
Range569
Interquartile range (IQR)18

Descriptive statistics

Standard deviation42.100375
Coefficient of variation (CV)2.1113885
Kurtosis47.368364
Mean19.939662
Median Absolute Deviation (MAD)6
Skewness5.7293287
Sum72042
Variance1772.4415
MonotonicityNot monotonic
2024-04-06T17:19:57.298714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 454
 
12.6%
1 397
 
11.0%
2 307
 
8.5%
3 184
 
5.1%
4 176
 
4.9%
5 147
 
4.1%
6 117
 
3.2%
8 110
 
3.0%
9 96
 
2.7%
10 94
 
2.6%
Other values (182) 1531
42.4%
ValueCountFrequency (%)
0 454
12.6%
1 397
11.0%
2 307
8.5%
3 184
5.1%
4 176
 
4.9%
5 147
 
4.1%
6 117
 
3.2%
7 93
 
2.6%
8 110
 
3.0%
9 96
 
2.7%
ValueCountFrequency (%)
569 1
< 0.1%
560 1
< 0.1%
530 1
< 0.1%
512 1
< 0.1%
470 1
< 0.1%
465 1
< 0.1%
393 1
< 0.1%
375 1
< 0.1%
362 1
< 0.1%
330 1
< 0.1%

25세남자
Real number (ℝ)

ZEROS 

Distinct214
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.453916
Minimum0
Maximum609
Zeros345
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:57.566321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q326
95-th percentile96.4
Maximum609
Range609
Interquartile range (IQR)24

Descriptive statistics

Standard deviation43.39437
Coefficient of variation (CV)1.8501972
Kurtosis37.81608
Mean23.453916
Median Absolute Deviation (MAD)8
Skewness4.9831893
Sum84739
Variance1883.0713
MonotonicityNot monotonic
2024-04-06T17:19:57.882498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 366
 
10.1%
0 345
 
9.5%
2 281
 
7.8%
3 185
 
5.1%
4 171
 
4.7%
8 112
 
3.1%
5 105
 
2.9%
7 97
 
2.7%
6 92
 
2.5%
9 91
 
2.5%
Other values (204) 1768
48.9%
ValueCountFrequency (%)
0 345
9.5%
1 366
10.1%
2 281
7.8%
3 185
5.1%
4 171
4.7%
5 105
 
2.9%
6 92
 
2.5%
7 97
 
2.7%
8 112
 
3.1%
9 91
 
2.5%
ValueCountFrequency (%)
609 1
< 0.1%
533 1
< 0.1%
498 1
< 0.1%
476 1
< 0.1%
475 1
< 0.1%
429 1
< 0.1%
403 1
< 0.1%
402 1
< 0.1%
329 1
< 0.1%
320 1
< 0.1%

26세남자
Real number (ℝ)

ZEROS 

Distinct222
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.963465
Minimum0
Maximum585
Zeros295
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:58.162266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q332
95-th percentile106.4
Maximum585
Range585
Interquartile range (IQR)29

Descriptive statistics

Standard deviation47.597394
Coefficient of variation (CV)1.7021279
Kurtosis27.265898
Mean27.963465
Median Absolute Deviation (MAD)11
Skewness4.2936586
Sum101032
Variance2265.512
MonotonicityNot monotonic
2024-04-06T17:19:58.504282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 329
 
9.1%
0 295
 
8.2%
2 225
 
6.2%
3 189
 
5.2%
5 124
 
3.4%
4 118
 
3.3%
6 102
 
2.8%
8 94
 
2.6%
9 88
 
2.4%
7 74
 
2.0%
Other values (212) 1975
54.7%
ValueCountFrequency (%)
0 295
8.2%
1 329
9.1%
2 225
6.2%
3 189
5.2%
4 118
 
3.3%
5 124
 
3.4%
6 102
 
2.8%
7 74
 
2.0%
8 94
 
2.6%
9 88
 
2.4%
ValueCountFrequency (%)
585 1
< 0.1%
544 1
< 0.1%
524 1
< 0.1%
492 1
< 0.1%
429 1
< 0.1%
420 1
< 0.1%
389 1
< 0.1%
366 1
< 0.1%
356 1
< 0.1%
349 1
< 0.1%

27세남자
Real number (ℝ)

ZEROS 

Distinct242
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.85137
Minimum0
Maximum638
Zeros268
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:59.286656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q337
95-th percentile121
Maximum638
Range638
Interquartile range (IQR)34

Descriptive statistics

Standard deviation52.621728
Coefficient of variation (CV)1.6521025
Kurtosis23.781793
Mean31.85137
Median Absolute Deviation (MAD)12
Skewness4.0596535
Sum115079
Variance2769.0463
MonotonicityNot monotonic
2024-04-06T17:19:59.636597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 281
 
7.8%
0 268
 
7.4%
2 232
 
6.4%
3 168
 
4.6%
4 132
 
3.7%
5 100
 
2.8%
6 92
 
2.5%
9 85
 
2.4%
7 82
 
2.3%
12 76
 
2.1%
Other values (232) 2097
58.0%
ValueCountFrequency (%)
0 268
7.4%
1 281
7.8%
2 232
6.4%
3 168
4.6%
4 132
3.7%
5 100
 
2.8%
6 92
 
2.5%
7 82
 
2.3%
8 64
 
1.8%
9 85
 
2.4%
ValueCountFrequency (%)
638 1
< 0.1%
604 1
< 0.1%
455 1
< 0.1%
445 1
< 0.1%
431 1
< 0.1%
419 1
< 0.1%
418 1
< 0.1%
410 1
< 0.1%
407 1
< 0.1%
396 1
< 0.1%

28세남자
Real number (ℝ)

ZEROS 

Distinct255
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.930805
Minimum0
Maximum626
Zeros218
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:19:59.958276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median17
Q343
95-th percentile135
Maximum626
Range626
Interquartile range (IQR)39

Descriptive statistics

Standard deviation56.998943
Coefficient of variation (CV)1.5863531
Kurtosis21.337511
Mean35.930805
Median Absolute Deviation (MAD)15
Skewness3.8676237
Sum129818
Variance3248.8795
MonotonicityNot monotonic
2024-04-06T17:20:00.451323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 269
 
7.4%
2 231
 
6.4%
0 218
 
6.0%
3 170
 
4.7%
4 138
 
3.8%
5 108
 
3.0%
6 80
 
2.2%
9 67
 
1.9%
17 64
 
1.8%
11 64
 
1.8%
Other values (245) 2204
61.0%
ValueCountFrequency (%)
0 218
6.0%
1 269
7.4%
2 231
6.4%
3 170
4.7%
4 138
3.8%
5 108
3.0%
6 80
 
2.2%
7 59
 
1.6%
8 61
 
1.7%
9 67
 
1.9%
ValueCountFrequency (%)
626 1
< 0.1%
625 1
< 0.1%
515 1
< 0.1%
504 1
< 0.1%
475 1
< 0.1%
461 1
< 0.1%
452 1
< 0.1%
417 1
< 0.1%
413 1
< 0.1%
406 1
< 0.1%

29세남자
Real number (ℝ)

ZEROS 

Distinct251
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.209244
Minimum0
Maximum625
Zeros235
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:00.799718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median19
Q347
95-th percentile141
Maximum625
Range625
Interquartile range (IQR)43

Descriptive statistics

Standard deviation58.807779
Coefficient of variation (CV)1.5390982
Kurtosis19.831053
Mean38.209244
Median Absolute Deviation (MAD)17
Skewness3.7190652
Sum138050
Variance3458.3549
MonotonicityNot monotonic
2024-04-06T17:20:01.259537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 248
 
6.9%
0 235
 
6.5%
2 214
 
5.9%
3 161
 
4.5%
4 125
 
3.5%
5 107
 
3.0%
11 71
 
2.0%
6 63
 
1.7%
7 61
 
1.7%
16 61
 
1.7%
Other values (241) 2267
62.7%
ValueCountFrequency (%)
0 235
6.5%
1 248
6.9%
2 214
5.9%
3 161
4.5%
4 125
3.5%
5 107
3.0%
6 63
 
1.7%
7 61
 
1.7%
8 59
 
1.6%
9 59
 
1.6%
ValueCountFrequency (%)
625 1
< 0.1%
571 1
< 0.1%
570 1
< 0.1%
534 1
< 0.1%
480 2
0.1%
446 1
< 0.1%
445 1
< 0.1%
437 1
< 0.1%
430 2
0.1%
429 1
< 0.1%

30세남자
Real number (ℝ)

ZEROS 

Distinct262
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.531414
Minimum0
Maximum606
Zeros231
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:01.592703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q349
95-th percentile138
Maximum606
Range606
Interquartile range (IQR)45

Descriptive statistics

Standard deviation57.613669
Coefficient of variation (CV)1.4952389
Kurtosis18.962245
Mean38.531414
Median Absolute Deviation (MAD)18
Skewness3.6121978
Sum139214
Variance3319.3349
MonotonicityNot monotonic
2024-04-06T17:20:01.897114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 250
 
6.9%
0 231
 
6.4%
2 202
 
5.6%
3 166
 
4.6%
4 116
 
3.2%
5 103
 
2.9%
6 72
 
2.0%
7 70
 
1.9%
11 59
 
1.6%
9 55
 
1.5%
Other values (252) 2289
63.4%
ValueCountFrequency (%)
0 231
6.4%
1 250
6.9%
2 202
5.6%
3 166
4.6%
4 116
3.2%
5 103
2.9%
6 72
 
2.0%
7 70
 
1.9%
8 55
 
1.5%
9 55
 
1.5%
ValueCountFrequency (%)
606 1
< 0.1%
588 1
< 0.1%
504 1
< 0.1%
491 1
< 0.1%
490 1
< 0.1%
483 1
< 0.1%
464 1
< 0.1%
442 1
< 0.1%
440 1
< 0.1%
420 1
< 0.1%

31세남자
Real number (ℝ)

ZEROS 

Distinct259
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.970662
Minimum0
Maximum562
Zeros211
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:02.194406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21
Q350
95-th percentile141.4
Maximum562
Range562
Interquartile range (IQR)46

Descriptive statistics

Standard deviation56.678395
Coefficient of variation (CV)1.4543863
Kurtosis17.115036
Mean38.970662
Median Absolute Deviation (MAD)19
Skewness3.4369217
Sum140801
Variance3212.4404
MonotonicityNot monotonic
2024-04-06T17:20:02.482960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 242
 
6.7%
1 236
 
6.5%
0 211
 
5.8%
3 158
 
4.4%
4 132
 
3.7%
5 90
 
2.5%
7 66
 
1.8%
6 65
 
1.8%
10 60
 
1.7%
8 56
 
1.5%
Other values (249) 2297
63.6%
ValueCountFrequency (%)
0 211
5.8%
1 236
6.5%
2 242
6.7%
3 158
4.4%
4 132
3.7%
5 90
 
2.5%
6 65
 
1.8%
7 66
 
1.8%
8 56
 
1.5%
9 51
 
1.4%
ValueCountFrequency (%)
562 1
< 0.1%
529 1
< 0.1%
497 1
< 0.1%
489 1
< 0.1%
464 1
< 0.1%
456 2
0.1%
444 1
< 0.1%
441 1
< 0.1%
433 1
< 0.1%
404 1
< 0.1%

32세남자
Real number (ℝ)

ZEROS 

Distinct234
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.491558
Minimum0
Maximum488
Zeros228
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:02.842759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q348
95-th percentile126
Maximum488
Range488
Interquartile range (IQR)44

Descriptive statistics

Standard deviation51.15623
Coefficient of variation (CV)1.4018648
Kurtosis15.287699
Mean36.491558
Median Absolute Deviation (MAD)18
Skewness3.2362885
Sum131844
Variance2616.9599
MonotonicityNot monotonic
2024-04-06T17:20:03.135844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 271
 
7.5%
0 228
 
6.3%
2 200
 
5.5%
3 145
 
4.0%
4 132
 
3.7%
6 86
 
2.4%
5 86
 
2.4%
7 77
 
2.1%
18 62
 
1.7%
8 62
 
1.7%
Other values (224) 2264
62.7%
ValueCountFrequency (%)
0 228
6.3%
1 271
7.5%
2 200
5.5%
3 145
4.0%
4 132
3.7%
5 86
 
2.4%
6 86
 
2.4%
7 77
 
2.1%
8 62
 
1.7%
9 57
 
1.6%
ValueCountFrequency (%)
488 1
< 0.1%
454 1
< 0.1%
435 1
< 0.1%
430 1
< 0.1%
417 1
< 0.1%
404 1
< 0.1%
400 1
< 0.1%
399 1
< 0.1%
392 1
< 0.1%
384 1
< 0.1%

33세남자
Real number (ℝ)

ZEROS 

Distinct214
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.8093
Minimum0
Maximum387
Zeros251
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:03.538978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q343
95-th percentile112
Maximum387
Range387
Interquartile range (IQR)40

Descriptive statistics

Standard deviation43.271867
Coefficient of variation (CV)1.3603527
Kurtosis13.615163
Mean31.8093
Median Absolute Deviation (MAD)15
Skewness3.0391781
Sum114927
Variance1872.4545
MonotonicityNot monotonic
2024-04-06T17:20:03.844232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 274
 
7.6%
0 251
 
6.9%
2 218
 
6.0%
3 165
 
4.6%
4 133
 
3.7%
5 95
 
2.6%
7 76
 
2.1%
8 73
 
2.0%
16 63
 
1.7%
6 59
 
1.6%
Other values (204) 2206
61.1%
ValueCountFrequency (%)
0 251
6.9%
1 274
7.6%
2 218
6.0%
3 165
4.6%
4 133
3.7%
5 95
 
2.6%
6 59
 
1.6%
7 76
 
2.1%
8 73
 
2.0%
9 54
 
1.5%
ValueCountFrequency (%)
387 1
< 0.1%
384 1
< 0.1%
379 1
< 0.1%
351 1
< 0.1%
350 1
< 0.1%
341 1
< 0.1%
333 1
< 0.1%
322 1
< 0.1%
320 1
< 0.1%
315 1
< 0.1%

34세남자
Real number (ℝ)

ZEROS 

Distinct192
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.432051
Minimum0
Maximum369
Zeros246
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:04.149824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q340
95-th percentile101.4
Maximum369
Range369
Interquartile range (IQR)37

Descriptive statistics

Standard deviation39.107041
Coefficient of variation (CV)1.3287229
Kurtosis13.47042
Mean29.432051
Median Absolute Deviation (MAD)15
Skewness2.9842702
Sum106338
Variance1529.3606
MonotonicityNot monotonic
2024-04-06T17:20:04.523756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 286
 
7.9%
0 246
 
6.8%
2 207
 
5.7%
3 178
 
4.9%
4 149
 
4.1%
5 91
 
2.5%
6 76
 
2.1%
8 63
 
1.7%
10 63
 
1.7%
7 62
 
1.7%
Other values (182) 2192
60.7%
ValueCountFrequency (%)
0 246
6.8%
1 286
7.9%
2 207
5.7%
3 178
4.9%
4 149
4.1%
5 91
 
2.5%
6 76
 
2.1%
7 62
 
1.7%
8 63
 
1.7%
9 52
 
1.4%
ValueCountFrequency (%)
369 1
< 0.1%
366 1
< 0.1%
340 1
< 0.1%
334 1
< 0.1%
313 1
< 0.1%
299 2
0.1%
290 1
< 0.1%
279 1
< 0.1%
264 1
< 0.1%
262 2
0.1%

35세남자
Real number (ℝ)

ZEROS 

Distinct188
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.959037
Minimum0
Maximum323
Zeros248
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:04.789938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q337
95-th percentile92.4
Maximum323
Range323
Interquartile range (IQR)34

Descriptive statistics

Standard deviation35.14623
Coefficient of variation (CV)1.3036901
Kurtosis12.818425
Mean26.959037
Median Absolute Deviation (MAD)14
Skewness2.9013735
Sum97403
Variance1235.2575
MonotonicityNot monotonic
2024-04-06T17:20:05.058142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 289
 
8.0%
0 248
 
6.9%
2 230
 
6.4%
3 177
 
4.9%
4 119
 
3.3%
5 103
 
2.9%
6 91
 
2.5%
7 74
 
2.0%
9 68
 
1.9%
16 65
 
1.8%
Other values (178) 2149
59.5%
ValueCountFrequency (%)
0 248
6.9%
1 289
8.0%
2 230
6.4%
3 177
4.9%
4 119
3.3%
5 103
 
2.9%
6 91
 
2.5%
7 74
 
2.0%
8 61
 
1.7%
9 68
 
1.9%
ValueCountFrequency (%)
323 1
< 0.1%
315 2
0.1%
310 1
< 0.1%
277 1
< 0.1%
269 1
< 0.1%
264 1
< 0.1%
263 1
< 0.1%
252 1
< 0.1%
246 1
< 0.1%
238 1
< 0.1%

36세남자
Real number (ℝ)

ZEROS 

Distinct175
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.629671
Minimum0
Maximum300
Zeros224
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:05.341688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q334
95-th percentile82
Maximum300
Range300
Interquartile range (IQR)31

Descriptive statistics

Standard deviation31.686809
Coefficient of variation (CV)1.2865299
Kurtosis12.663159
Mean24.629671
Median Absolute Deviation (MAD)12
Skewness2.8969201
Sum88987
Variance1004.0538
MonotonicityNot monotonic
2024-04-06T17:20:05.629021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 269
 
7.4%
2 243
 
6.7%
0 224
 
6.2%
3 178
 
4.9%
4 155
 
4.3%
5 111
 
3.1%
7 89
 
2.5%
6 89
 
2.5%
8 74
 
2.0%
10 73
 
2.0%
Other values (165) 2108
58.3%
ValueCountFrequency (%)
0 224
6.2%
1 269
7.4%
2 243
6.7%
3 178
4.9%
4 155
4.3%
5 111
3.1%
6 89
 
2.5%
7 89
 
2.5%
8 74
 
2.0%
9 63
 
1.7%
ValueCountFrequency (%)
300 1
< 0.1%
270 1
< 0.1%
263 1
< 0.1%
262 1
< 0.1%
249 1
< 0.1%
245 1
< 0.1%
243 1
< 0.1%
227 1
< 0.1%
222 1
< 0.1%
219 1
< 0.1%

37세남자
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.030169
Minimum0
Maximum325
Zeros226
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:05.966843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q331
95-th percentile76
Maximum325
Range325
Interquartile range (IQR)28

Descriptive statistics

Standard deviation28.986258
Coefficient of variation (CV)1.2586212
Kurtosis14.066526
Mean23.030169
Median Absolute Deviation (MAD)12
Skewness2.9366152
Sum83208
Variance840.20313
MonotonicityNot monotonic
2024-04-06T17:20:06.278532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 290
 
8.0%
0 226
 
6.3%
2 225
 
6.2%
3 180
 
5.0%
4 139
 
3.8%
5 121
 
3.3%
6 88
 
2.4%
7 85
 
2.4%
8 80
 
2.2%
12 75
 
2.1%
Other values (148) 2104
58.2%
ValueCountFrequency (%)
0 226
6.3%
1 290
8.0%
2 225
6.2%
3 180
5.0%
4 139
3.8%
5 121
3.3%
6 88
 
2.4%
7 85
 
2.4%
8 80
 
2.2%
9 72
 
2.0%
ValueCountFrequency (%)
325 1
< 0.1%
282 1
< 0.1%
257 1
< 0.1%
247 1
< 0.1%
223 1
< 0.1%
216 1
< 0.1%
212 1
< 0.1%
199 1
< 0.1%
198 1
< 0.1%
193 1
< 0.1%

38세남자
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.590922
Minimum0
Maximum258
Zeros188
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:06.568871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q331
95-th percentile73.4
Maximum258
Range258
Interquartile range (IQR)28

Descriptive statistics

Standard deviation27.611504
Coefficient of variation (CV)1.222239
Kurtosis11.368426
Mean22.590922
Median Absolute Deviation (MAD)12
Skewness2.7119793
Sum81621
Variance762.39518
MonotonicityNot monotonic
2024-04-06T17:20:06.876567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 285
 
7.9%
2 250
 
6.9%
0 188
 
5.2%
3 183
 
5.1%
4 139
 
3.8%
5 109
 
3.0%
7 99
 
2.7%
8 89
 
2.5%
9 86
 
2.4%
11 83
 
2.3%
Other values (140) 2102
58.2%
ValueCountFrequency (%)
0 188
5.2%
1 285
7.9%
2 250
6.9%
3 183
5.1%
4 139
3.8%
5 109
 
3.0%
6 78
 
2.2%
7 99
 
2.7%
8 89
 
2.5%
9 86
 
2.4%
ValueCountFrequency (%)
258 1
< 0.1%
249 1
< 0.1%
231 2
0.1%
213 1
< 0.1%
203 1
< 0.1%
201 1
< 0.1%
196 2
0.1%
195 1
< 0.1%
181 1
< 0.1%
179 1
< 0.1%

39세남자
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.413507
Minimum0
Maximum285
Zeros203
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:07.146311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median13
Q330
95-th percentile69
Maximum285
Range285
Interquartile range (IQR)26

Descriptive statistics

Standard deviation25.690412
Coefficient of variation (CV)1.1997293
Kurtosis12.439298
Mean21.413507
Median Absolute Deviation (MAD)11
Skewness2.7501294
Sum77367
Variance659.99729
MonotonicityNot monotonic
2024-04-06T17:20:07.879874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 246
 
6.8%
2 241
 
6.7%
0 203
 
5.6%
3 184
 
5.1%
4 138
 
3.8%
5 121
 
3.3%
6 107
 
3.0%
9 106
 
2.9%
8 92
 
2.5%
12 86
 
2.4%
Other values (133) 2089
57.8%
ValueCountFrequency (%)
0 203
5.6%
1 246
6.8%
2 241
6.7%
3 184
5.1%
4 138
3.8%
5 121
3.3%
6 107
3.0%
7 81
 
2.2%
8 92
 
2.5%
9 106
2.9%
ValueCountFrequency (%)
285 1
< 0.1%
227 1
< 0.1%
222 1
< 0.1%
215 1
< 0.1%
198 1
< 0.1%
192 1
< 0.1%
191 1
< 0.1%
179 2
0.1%
174 1
< 0.1%
167 1
< 0.1%

40세남자
Real number (ℝ)

ZEROS 

Distinct154
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.912538
Minimum0
Maximum306
Zeros145
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:08.182355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median15
Q331
95-th percentile72.4
Maximum306
Range306
Interquartile range (IQR)27

Descriptive statistics

Standard deviation26.918885
Coefficient of variation (CV)1.1748539
Kurtosis13.286276
Mean22.912538
Median Absolute Deviation (MAD)12
Skewness2.8060551
Sum82783
Variance724.62635
MonotonicityNot monotonic
2024-04-06T17:20:08.458695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 235
 
6.5%
2 196
 
5.4%
3 187
 
5.2%
4 156
 
4.3%
0 145
 
4.0%
5 136
 
3.8%
6 102
 
2.8%
10 93
 
2.6%
7 92
 
2.5%
8 91
 
2.5%
Other values (144) 2180
60.3%
ValueCountFrequency (%)
0 145
4.0%
1 235
6.5%
2 196
5.4%
3 187
5.2%
4 156
4.3%
5 136
3.8%
6 102
2.8%
7 92
 
2.5%
8 91
 
2.5%
9 78
 
2.2%
ValueCountFrequency (%)
306 1
< 0.1%
258 1
< 0.1%
252 1
< 0.1%
204 1
< 0.1%
201 1
< 0.1%
195 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%
187 2
0.1%
179 1
< 0.1%

41세남자
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.151121
Minimum0
Maximum322
Zeros123
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:08.759203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q333
95-th percentile75
Maximum322
Range322
Interquartile range (IQR)28

Descriptive statistics

Standard deviation27.949753
Coefficient of variation (CV)1.1572859
Kurtosis12.770461
Mean24.151121
Median Absolute Deviation (MAD)13
Skewness2.7672281
Sum87258
Variance781.18867
MonotonicityNot monotonic
2024-04-06T17:20:09.092305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 233
 
6.4%
3 180
 
5.0%
1 179
 
5.0%
4 131
 
3.6%
0 123
 
3.4%
5 117
 
3.2%
6 103
 
2.9%
7 100
 
2.8%
9 94
 
2.6%
10 92
 
2.5%
Other values (138) 2261
62.6%
ValueCountFrequency (%)
0 123
3.4%
1 179
5.0%
2 233
6.4%
3 180
5.0%
4 131
3.6%
5 117
3.2%
6 103
2.9%
7 100
2.8%
8 89
 
2.5%
9 94
2.6%
ValueCountFrequency (%)
322 1
< 0.1%
240 1
< 0.1%
235 1
< 0.1%
228 1
< 0.1%
217 1
< 0.1%
205 1
< 0.1%
201 2
0.1%
197 1
< 0.1%
187 1
< 0.1%
186 1
< 0.1%

42세남자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.698035
Minimum0
Maximum348
Zeros104
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:09.430486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q334
95-th percentile76
Maximum348
Range348
Interquartile range (IQR)29

Descriptive statistics

Standard deviation28.003112
Coefficient of variation (CV)1.1338194
Kurtosis13.04891
Mean24.698035
Median Absolute Deviation (MAD)12
Skewness2.7197118
Sum89234
Variance784.1743
MonotonicityNot monotonic
2024-04-06T17:20:09.723969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 200
 
5.5%
3 177
 
4.9%
4 170
 
4.7%
1 170
 
4.7%
5 121
 
3.3%
6 119
 
3.3%
0 104
 
2.9%
7 96
 
2.7%
11 86
 
2.4%
9 85
 
2.4%
Other values (139) 2285
63.2%
ValueCountFrequency (%)
0 104
2.9%
1 170
4.7%
2 200
5.5%
3 177
4.9%
4 170
4.7%
5 121
3.3%
6 119
3.3%
7 96
2.7%
8 75
 
2.1%
9 85
2.4%
ValueCountFrequency (%)
348 1
< 0.1%
248 1
< 0.1%
224 1
< 0.1%
212 1
< 0.1%
200 1
< 0.1%
199 2
0.1%
191 1
< 0.1%
188 1
< 0.1%
187 2
0.1%
184 1
< 0.1%

43세남자
Real number (ℝ)

ZEROS 

Distinct152
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.789925
Minimum0
Maximum305
Zeros106
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:10.075651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q332
95-th percentile72
Maximum305
Range305
Interquartile range (IQR)27

Descriptive statistics

Standard deviation26.627967
Coefficient of variation (CV)1.1192959
Kurtosis12.062994
Mean23.789925
Median Absolute Deviation (MAD)12
Skewness2.6879214
Sum85953
Variance709.0486
MonotonicityNot monotonic
2024-04-06T17:20:10.436749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 211
 
5.8%
3 180
 
5.0%
1 164
 
4.5%
4 147
 
4.1%
5 120
 
3.3%
6 107
 
3.0%
0 106
 
2.9%
8 105
 
2.9%
9 96
 
2.7%
11 91
 
2.5%
Other values (142) 2286
63.3%
ValueCountFrequency (%)
0 106
2.9%
1 164
4.5%
2 211
5.8%
3 180
5.0%
4 147
4.1%
5 120
3.3%
6 107
3.0%
7 86
2.4%
8 105
2.9%
9 96
2.7%
ValueCountFrequency (%)
305 1
< 0.1%
220 1
< 0.1%
214 1
< 0.1%
211 1
< 0.1%
197 1
< 0.1%
195 1
< 0.1%
194 2
0.1%
184 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%

44세남자
Real number (ℝ)

ZEROS 

Distinct146
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.539718
Minimum0
Maximum299
Zeros94
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:10.739310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median17
Q332
95-th percentile72.4
Maximum299
Range299
Interquartile range (IQR)26

Descriptive statistics

Standard deviation25.484245
Coefficient of variation (CV)1.0826062
Kurtosis11.196829
Mean23.539718
Median Absolute Deviation (MAD)12
Skewness2.5581154
Sum85049
Variance649.44672
MonotonicityNot monotonic
2024-04-06T17:20:10.993868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 182
 
5.0%
3 179
 
5.0%
4 155
 
4.3%
1 154
 
4.3%
6 130
 
3.6%
5 129
 
3.6%
7 103
 
2.9%
8 95
 
2.6%
0 94
 
2.6%
10 92
 
2.5%
Other values (136) 2300
63.7%
ValueCountFrequency (%)
0 94
2.6%
1 154
4.3%
2 182
5.0%
3 179
5.0%
4 155
4.3%
5 129
3.6%
6 130
3.6%
7 103
2.9%
8 95
2.6%
9 75
2.1%
ValueCountFrequency (%)
299 1
< 0.1%
203 1
< 0.1%
199 1
< 0.1%
194 1
< 0.1%
183 1
< 0.1%
182 1
< 0.1%
179 1
< 0.1%
173 1
< 0.1%
169 1
< 0.1%
168 1
< 0.1%

45세남자
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.063382
Minimum0
Maximum240
Zeros82
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:11.309966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median15
Q329
95-th percentile62.4
Maximum240
Range240
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.229502
Coefficient of variation (CV)1.0553624
Kurtosis9.582182
Mean21.063382
Median Absolute Deviation (MAD)11
Skewness2.4303571
Sum76102
Variance494.15074
MonotonicityNot monotonic
2024-04-06T17:20:11.724252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 195
 
5.4%
2 173
 
4.8%
4 173
 
4.8%
1 157
 
4.3%
5 146
 
4.0%
6 119
 
3.3%
8 108
 
3.0%
7 107
 
3.0%
13 106
 
2.9%
11 100
 
2.8%
Other values (125) 2229
61.7%
ValueCountFrequency (%)
0 82
2.3%
1 157
4.3%
2 173
4.8%
3 195
5.4%
4 173
4.8%
5 146
4.0%
6 119
3.3%
7 107
3.0%
8 108
3.0%
9 85
2.4%
ValueCountFrequency (%)
240 1
< 0.1%
188 1
< 0.1%
160 1
< 0.1%
156 1
< 0.1%
151 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
148 2
0.1%
146 1
< 0.1%
144 1
< 0.1%

46세남자
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.342928
Minimum0
Maximum286
Zeros74
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:12.073591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median15
Q329
95-th percentile63.4
Maximum286
Range286
Interquartile range (IQR)23

Descriptive statistics

Standard deviation22.459784
Coefficient of variation (CV)1.0523291
Kurtosis11.952272
Mean21.342928
Median Absolute Deviation (MAD)10
Skewness2.5699936
Sum77112
Variance504.44189
MonotonicityNot monotonic
2024-04-06T17:20:12.373887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 188
 
5.2%
3 167
 
4.6%
5 157
 
4.3%
4 154
 
4.3%
6 134
 
3.7%
1 132
 
3.7%
7 121
 
3.3%
8 112
 
3.1%
10 101
 
2.8%
9 91
 
2.5%
Other values (120) 2256
62.4%
ValueCountFrequency (%)
0 74
 
2.0%
1 132
3.7%
2 188
5.2%
3 167
4.6%
4 154
4.3%
5 157
4.3%
6 134
3.7%
7 121
3.3%
8 112
3.1%
9 91
2.5%
ValueCountFrequency (%)
286 1
< 0.1%
180 1
< 0.1%
169 1
< 0.1%
160 1
< 0.1%
158 1
< 0.1%
154 2
0.1%
152 1
< 0.1%
150 1
< 0.1%
143 1
< 0.1%
141 1
< 0.1%

47세남자
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.106283
Minimum0
Maximum243
Zeros60
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:12.883241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median15
Q329
95-th percentile62
Maximum243
Range243
Interquartile range (IQR)23

Descriptive statistics

Standard deviation21.207129
Coefficient of variation (CV)1.004778
Kurtosis9.0840215
Mean21.106283
Median Absolute Deviation (MAD)10
Skewness2.3173229
Sum76257
Variance449.7423
MonotonicityNot monotonic
2024-04-06T17:20:13.399980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 169
 
4.7%
4 158
 
4.4%
5 154
 
4.3%
6 153
 
4.2%
3 151
 
4.2%
7 142
 
3.9%
11 111
 
3.1%
1 108
 
3.0%
9 107
 
3.0%
8 102
 
2.8%
Other values (117) 2258
62.5%
ValueCountFrequency (%)
0 60
 
1.7%
1 108
3.0%
2 169
4.7%
3 151
4.2%
4 158
4.4%
5 154
4.3%
6 153
4.2%
7 142
3.9%
8 102
2.8%
9 107
3.0%
ValueCountFrequency (%)
243 1
< 0.1%
165 1
< 0.1%
159 1
< 0.1%
151 1
< 0.1%
145 2
0.1%
141 1
< 0.1%
136 1
< 0.1%
131 1
< 0.1%
129 1
< 0.1%
128 1
< 0.1%

48세남자
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.307777
Minimum0
Maximum228
Zeros39
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:13.917527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median16
Q331
95-th percentile63
Maximum228
Range228
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.053216
Coefficient of variation (CV)0.98858867
Kurtosis8.5073912
Mean22.307777
Median Absolute Deviation (MAD)11
Skewness2.2858594
Sum80598
Variance486.34434
MonotonicityNot monotonic
2024-04-06T17:20:14.303895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 172
 
4.8%
4 163
 
4.5%
3 144
 
4.0%
5 135
 
3.7%
2 129
 
3.6%
7 125
 
3.5%
9 111
 
3.1%
12 109
 
3.0%
10 108
 
3.0%
16 104
 
2.9%
Other values (121) 2313
64.0%
ValueCountFrequency (%)
0 39
 
1.1%
1 103
2.9%
2 129
3.6%
3 144
4.0%
4 163
4.5%
5 135
3.7%
6 172
4.8%
7 125
3.5%
8 103
2.9%
9 111
3.1%
ValueCountFrequency (%)
228 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
167 1
< 0.1%
162 1
< 0.1%
160 1
< 0.1%
156 1
< 0.1%
143 1
< 0.1%
141 1
< 0.1%
139 1
< 0.1%

49세남자
Real number (ℝ)

Distinct130
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.14946
Minimum0
Maximum234
Zeros33
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:14.654535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median18
Q333
95-th percentile68
Maximum234
Range234
Interquartile range (IQR)25

Descriptive statistics

Standard deviation23.280794
Coefficient of variation (CV)0.96402958
Kurtosis7.6195346
Mean24.14946
Median Absolute Deviation (MAD)11
Skewness2.189563
Sum87252
Variance541.99537
MonotonicityNot monotonic
2024-04-06T17:20:15.099273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 148
 
4.1%
7 146
 
4.0%
5 137
 
3.8%
4 134
 
3.7%
6 119
 
3.3%
8 110
 
3.0%
15 102
 
2.8%
2 99
 
2.7%
14 96
 
2.7%
10 94
 
2.6%
Other values (120) 2428
67.2%
ValueCountFrequency (%)
0 33
 
0.9%
1 83
2.3%
2 99
2.7%
3 148
4.1%
4 134
3.7%
5 137
3.8%
6 119
3.3%
7 146
4.0%
8 110
3.0%
9 92
2.5%
ValueCountFrequency (%)
234 1
 
< 0.1%
186 1
 
< 0.1%
175 1
 
< 0.1%
167 1
 
< 0.1%
164 3
0.1%
158 1
 
< 0.1%
151 1
 
< 0.1%
149 1
 
< 0.1%
148 1
 
< 0.1%
142 1
 
< 0.1%

50세남자
Real number (ℝ)

Distinct138
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.690008
Minimum0
Maximum248
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:15.364905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median19
Q335
95-th percentile71
Maximum248
Range248
Interquartile range (IQR)26

Descriptive statistics

Standard deviation24.052147
Coefficient of variation (CV)0.93624519
Kurtosis6.8197697
Mean25.690008
Median Absolute Deviation (MAD)12
Skewness2.0666431
Sum92818
Variance578.50576
MonotonicityNot monotonic
2024-04-06T17:20:15.633888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 130
 
3.6%
9 126
 
3.5%
7 126
 
3.5%
8 126
 
3.5%
4 125
 
3.5%
10 115
 
3.2%
3 111
 
3.1%
6 108
 
3.0%
12 95
 
2.6%
2 91
 
2.5%
Other values (128) 2460
68.1%
ValueCountFrequency (%)
0 26
 
0.7%
1 58
1.6%
2 91
2.5%
3 111
3.1%
4 125
3.5%
5 130
3.6%
6 108
3.0%
7 126
3.5%
8 126
3.5%
9 126
3.5%
ValueCountFrequency (%)
248 1
< 0.1%
171 2
0.1%
159 2
0.1%
158 1
< 0.1%
157 1
< 0.1%
154 1
< 0.1%
152 2
0.1%
149 1
< 0.1%
143 2
0.1%
142 2
0.1%

51세남자
Real number (ℝ)

Distinct141
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.427899
Minimum0
Maximum253
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:15.905124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median19
Q336
95-th percentile74
Maximum253
Range253
Interquartile range (IQR)27

Descriptive statistics

Standard deviation24.434425
Coefficient of variation (CV)0.92456931
Kurtosis6.1930746
Mean26.427899
Median Absolute Deviation (MAD)12
Skewness1.9922493
Sum95484
Variance597.0411
MonotonicityNot monotonic
2024-04-06T17:20:16.634899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 137
 
3.8%
5 130
 
3.6%
6 120
 
3.3%
10 120
 
3.3%
9 116
 
3.2%
3 109
 
3.0%
12 109
 
3.0%
8 104
 
2.9%
4 104
 
2.9%
13 99
 
2.7%
Other values (131) 2465
68.2%
ValueCountFrequency (%)
0 26
 
0.7%
1 50
 
1.4%
2 70
1.9%
3 109
3.0%
4 104
2.9%
5 130
3.6%
6 120
3.3%
7 137
3.8%
8 104
2.9%
9 116
3.2%
ValueCountFrequency (%)
253 1
< 0.1%
166 1
< 0.1%
165 1
< 0.1%
159 1
< 0.1%
158 2
0.1%
156 1
< 0.1%
154 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
143 1
< 0.1%

52세남자
Real number (ℝ)

Distinct140
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.93385
Minimum0
Maximum239
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:16.962479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median21
Q338
95-th percentile77.4
Maximum239
Range239
Interquartile range (IQR)28

Descriptive statistics

Standard deviation25.332611
Coefficient of variation (CV)0.90687862
Kurtosis6.0989776
Mean27.93385
Median Absolute Deviation (MAD)13
Skewness2.0031628
Sum100925
Variance641.74119
MonotonicityNot monotonic
2024-04-06T17:20:17.249471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 126
 
3.5%
7 123
 
3.4%
9 116
 
3.2%
5 112
 
3.1%
8 109
 
3.0%
14 98
 
2.7%
4 97
 
2.7%
10 95
 
2.6%
11 92
 
2.5%
3 91
 
2.5%
Other values (130) 2554
70.7%
ValueCountFrequency (%)
0 21
 
0.6%
1 26
 
0.7%
2 64
1.8%
3 91
2.5%
4 97
2.7%
5 112
3.1%
6 126
3.5%
7 123
3.4%
8 109
3.0%
9 116
3.2%
ValueCountFrequency (%)
239 1
< 0.1%
184 1
< 0.1%
182 1
< 0.1%
177 2
0.1%
170 1
< 0.1%
166 1
< 0.1%
162 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%
154 1
< 0.1%

53세남자
Real number (ℝ)

Distinct145
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.402436
Minimum0
Maximum236
Zeros10
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:17.525729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median21
Q339
95-th percentile78
Maximum236
Range236
Interquartile range (IQR)29

Descriptive statistics

Standard deviation25.132334
Coefficient of variation (CV)0.88486547
Kurtosis4.986852
Mean28.402436
Median Absolute Deviation (MAD)13
Skewness1.8570742
Sum102618
Variance631.63424
MonotonicityNot monotonic
2024-04-06T17:20:17.898919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 141
 
3.9%
6 124
 
3.4%
10 121
 
3.3%
7 114
 
3.2%
9 113
 
3.1%
13 100
 
2.8%
15 95
 
2.6%
5 94
 
2.6%
16 91
 
2.5%
14 87
 
2.4%
Other values (135) 2533
70.1%
ValueCountFrequency (%)
0 10
 
0.3%
1 33
 
0.9%
2 58
1.6%
3 71
2.0%
4 81
2.2%
5 94
2.6%
6 124
3.4%
7 114
3.2%
8 141
3.9%
9 113
3.1%
ValueCountFrequency (%)
236 1
< 0.1%
167 2
0.1%
164 1
< 0.1%
161 1
< 0.1%
154 1
< 0.1%
152 1
< 0.1%
151 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
148 1
< 0.1%

54세남자
Real number (ℝ)

Distinct139
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.936895
Minimum0
Maximum244
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:18.327311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median21
Q338
95-th percentile74.4
Maximum244
Range244
Interquartile range (IQR)27

Descriptive statistics

Standard deviation24.21936
Coefficient of variation (CV)0.86693101
Kurtosis6.0274359
Mean27.936895
Median Absolute Deviation (MAD)12
Skewness1.9594735
Sum100936
Variance586.57741
MonotonicityNot monotonic
2024-04-06T17:20:18.617682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 129
 
3.6%
10 125
 
3.5%
8 112
 
3.1%
13 111
 
3.1%
7 106
 
2.9%
11 101
 
2.8%
12 100
 
2.8%
5 98
 
2.7%
4 96
 
2.7%
6 90
 
2.5%
Other values (129) 2545
70.4%
ValueCountFrequency (%)
0 12
 
0.3%
1 30
 
0.8%
2 38
 
1.1%
3 67
1.9%
4 96
2.7%
5 98
2.7%
6 90
2.5%
7 106
2.9%
8 112
3.1%
9 129
3.6%
ValueCountFrequency (%)
244 1
 
< 0.1%
167 1
 
< 0.1%
164 1
 
< 0.1%
161 1
 
< 0.1%
160 1
 
< 0.1%
159 1
 
< 0.1%
158 1
 
< 0.1%
153 1
 
< 0.1%
149 3
0.1%
146 1
 
< 0.1%

55세남자
Real number (ℝ)

Distinct142
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.855522
Minimum0
Maximum192
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:18.913466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median22
Q339
95-th percentile76
Maximum192
Range192
Interquartile range (IQR)28

Descriptive statistics

Standard deviation24.428113
Coefficient of variation (CV)0.84656634
Kurtosis4.808273
Mean28.855522
Median Absolute Deviation (MAD)12
Skewness1.8483351
Sum104255
Variance596.73272
MonotonicityNot monotonic
2024-04-06T17:20:19.269132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 123
 
3.4%
10 120
 
3.3%
7 116
 
3.2%
12 113
 
3.1%
8 113
 
3.1%
11 108
 
3.0%
13 104
 
2.9%
16 99
 
2.7%
15 89
 
2.5%
14 88
 
2.4%
Other values (132) 2540
70.3%
ValueCountFrequency (%)
0 9
 
0.2%
1 18
 
0.5%
2 33
 
0.9%
3 56
1.5%
4 69
1.9%
5 77
2.1%
6 83
2.3%
7 116
3.2%
8 113
3.1%
9 123
3.4%
ValueCountFrequency (%)
192 1
 
< 0.1%
170 2
0.1%
168 1
 
< 0.1%
159 1
 
< 0.1%
158 1
 
< 0.1%
156 1
 
< 0.1%
153 1
 
< 0.1%
152 3
0.1%
146 1
 
< 0.1%
145 1
 
< 0.1%

56세남자
Real number (ℝ)

Distinct132
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.54553
Minimum0
Maximum184
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:19.799158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median20
Q335
95-th percentile70
Maximum184
Range184
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.952996
Coefficient of variation (CV)0.82699408
Kurtosis4.8227928
Mean26.54553
Median Absolute Deviation (MAD)11
Skewness1.8337856
Sum95909
Variance481.93404
MonotonicityNot monotonic
2024-04-06T17:20:20.224658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 127
 
3.5%
8 126
 
3.5%
11 119
 
3.3%
9 110
 
3.0%
13 108
 
3.0%
7 107
 
3.0%
12 105
 
2.9%
6 102
 
2.8%
15 102
 
2.8%
16 101
 
2.8%
Other values (122) 2506
69.4%
ValueCountFrequency (%)
0 14
 
0.4%
1 27
 
0.7%
2 32
 
0.9%
3 51
1.4%
4 76
2.1%
5 83
2.3%
6 102
2.8%
7 107
3.0%
8 126
3.5%
9 110
3.0%
ValueCountFrequency (%)
184 1
< 0.1%
156 1
< 0.1%
152 1
< 0.1%
149 1
< 0.1%
145 1
< 0.1%
139 1
< 0.1%
138 2
0.1%
137 2
0.1%
135 1
< 0.1%
134 1
< 0.1%

57세남자
Real number (ℝ)

Distinct133
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.850263
Minimum0
Maximum185
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:20.660849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median21
Q336
95-th percentile68
Maximum185
Range185
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.766339
Coefficient of variation (CV)0.81065647
Kurtosis4.8228691
Mean26.850263
Median Absolute Deviation (MAD)11
Skewness1.8382902
Sum97010
Variance473.77353
MonotonicityNot monotonic
2024-04-06T17:20:20.989674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 129
 
3.6%
12 128
 
3.5%
13 120
 
3.3%
9 117
 
3.2%
14 112
 
3.1%
7 112
 
3.1%
10 106
 
2.9%
15 102
 
2.8%
8 101
 
2.8%
19 93
 
2.6%
Other values (123) 2493
69.0%
ValueCountFrequency (%)
0 7
 
0.2%
1 22
 
0.6%
2 28
 
0.8%
3 44
 
1.2%
4 56
1.5%
5 83
2.3%
6 92
2.5%
7 112
3.1%
8 101
2.8%
9 117
3.2%
ValueCountFrequency (%)
185 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
143 2
0.1%
141 1
< 0.1%
139 1
< 0.1%
138 1
< 0.1%
136 1
< 0.1%

58세남자
Real number (ℝ)

Distinct127
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.721284
Minimum0
Maximum177
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:21.394842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median22
Q337
95-th percentile72
Maximum177
Range177
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.094383
Coefficient of variation (CV)0.79701875
Kurtosis4.6689667
Mean27.721284
Median Absolute Deviation (MAD)11
Skewness1.8090374
Sum100157
Variance488.16178
MonotonicityNot monotonic
2024-04-06T17:20:21.759970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 116
 
3.2%
9 116
 
3.2%
8 116
 
3.2%
11 112
 
3.1%
10 111
 
3.1%
15 107
 
3.0%
13 102
 
2.8%
16 102
 
2.8%
14 99
 
2.7%
7 98
 
2.7%
Other values (117) 2534
70.1%
ValueCountFrequency (%)
0 12
 
0.3%
1 14
 
0.4%
2 32
 
0.9%
3 40
 
1.1%
4 52
1.4%
5 57
1.6%
6 85
2.4%
7 98
2.7%
8 116
3.2%
9 116
3.2%
ValueCountFrequency (%)
177 1
 
< 0.1%
168 1
 
< 0.1%
154 1
 
< 0.1%
144 1
 
< 0.1%
140 1
 
< 0.1%
138 2
0.1%
137 1
 
< 0.1%
135 3
0.1%
133 2
0.1%
132 1
 
< 0.1%

59세남자
Real number (ℝ)

Distinct129
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.675062
Minimum0
Maximum185
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:22.119723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median22
Q337
95-th percentile70
Maximum185
Range185
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.752283
Coefficient of variation (CV)0.78598859
Kurtosis4.7277713
Mean27.675062
Median Absolute Deviation (MAD)11
Skewness1.7879835
Sum99990
Variance473.16183
MonotonicityNot monotonic
2024-04-06T17:20:22.438748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 132
 
3.7%
14 121
 
3.3%
9 120
 
3.3%
13 113
 
3.1%
10 104
 
2.9%
19 101
 
2.8%
15 100
 
2.8%
18 99
 
2.7%
8 96
 
2.7%
11 92
 
2.5%
Other values (119) 2535
70.2%
ValueCountFrequency (%)
0 8
 
0.2%
1 18
 
0.5%
2 18
 
0.5%
3 33
 
0.9%
4 56
1.5%
5 72
2.0%
6 90
2.5%
7 89
2.5%
8 96
2.7%
9 120
3.3%
ValueCountFrequency (%)
185 1
< 0.1%
184 1
< 0.1%
152 1
< 0.1%
147 1
< 0.1%
145 1
< 0.1%
141 1
< 0.1%
137 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
130 1
< 0.1%

60세남자
Real number (ℝ)

Distinct119
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.737891
Minimum0
Maximum155
Zeros11
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:22.718431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median20
Q334
95-th percentile66
Maximum155
Range155
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20.075431
Coefficient of variation (CV)0.77999517
Kurtosis3.9976818
Mean25.737891
Median Absolute Deviation (MAD)10
Skewness1.7013906
Sum92991
Variance403.02292
MonotonicityNot monotonic
2024-04-06T17:20:23.033730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 127
 
3.5%
9 124
 
3.4%
13 124
 
3.4%
11 121
 
3.3%
10 118
 
3.3%
7 114
 
3.2%
14 108
 
3.0%
15 107
 
3.0%
16 98
 
2.7%
19 98
 
2.7%
Other values (109) 2474
68.5%
ValueCountFrequency (%)
0 11
 
0.3%
1 17
 
0.5%
2 35
 
1.0%
3 48
 
1.3%
4 60
1.7%
5 68
1.9%
6 96
2.7%
7 114
3.2%
8 92
2.5%
9 124
3.4%
ValueCountFrequency (%)
155 1
< 0.1%
143 1
< 0.1%
139 2
0.1%
137 1
< 0.1%
136 1
< 0.1%
132 1
< 0.1%
124 1
< 0.1%
122 1
< 0.1%
118 1
< 0.1%
117 1
< 0.1%

61세남자
Real number (ℝ)

Distinct126
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.805425
Minimum0
Maximum167
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:23.413453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median23
Q337
95-th percentile73
Maximum167
Range167
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.749977
Coefficient of variation (CV)0.75506533
Kurtosis3.6069545
Mean28.805425
Median Absolute Deviation (MAD)11
Skewness1.6509274
Sum104074
Variance473.06152
MonotonicityNot monotonic
2024-04-06T17:20:23.750652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 120
 
3.3%
12 117
 
3.2%
11 110
 
3.0%
16 110
 
3.0%
13 102
 
2.8%
14 101
 
2.8%
22 97
 
2.7%
21 95
 
2.6%
19 94
 
2.6%
15 94
 
2.6%
Other values (116) 2573
71.2%
ValueCountFrequency (%)
0 9
 
0.2%
1 12
 
0.3%
2 17
 
0.5%
3 27
 
0.7%
4 42
1.2%
5 53
1.5%
6 66
1.8%
7 78
2.2%
8 87
2.4%
9 88
2.4%
ValueCountFrequency (%)
167 1
 
< 0.1%
165 1
 
< 0.1%
151 1
 
< 0.1%
143 1
 
< 0.1%
138 1
 
< 0.1%
136 1
 
< 0.1%
131 1
 
< 0.1%
125 1
 
< 0.1%
124 1
 
< 0.1%
123 3
0.1%

62세남자
Real number (ℝ)

Distinct127
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.488514
Minimum0
Maximum171
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:24.065898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median23
Q338
95-th percentile71
Maximum171
Range171
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.272365
Coefficient of variation (CV)0.7466997
Kurtosis4.2952611
Mean28.488514
Median Absolute Deviation (MAD)11
Skewness1.7318166
Sum102929
Variance452.5135
MonotonicityNot monotonic
2024-04-06T17:20:24.381704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 127
 
3.5%
12 120
 
3.3%
13 114
 
3.2%
15 114
 
3.2%
10 110
 
3.0%
17 108
 
3.0%
11 103
 
2.9%
19 96
 
2.7%
9 96
 
2.7%
25 92
 
2.5%
Other values (117) 2533
70.1%
ValueCountFrequency (%)
0 9
 
0.2%
1 14
 
0.4%
2 15
 
0.4%
3 33
 
0.9%
4 31
 
0.9%
5 39
1.1%
6 55
1.5%
7 78
2.2%
8 92
2.5%
9 96
2.7%
ValueCountFrequency (%)
171 1
< 0.1%
170 1
< 0.1%
158 1
< 0.1%
139 1
< 0.1%
137 1
< 0.1%
136 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
129 2
0.1%
127 1
< 0.1%

63세남자
Real number (ℝ)

Distinct131
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.536396
Minimum0
Maximum193
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:24.670190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median24
Q340
95-th percentile75
Maximum193
Range193
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.276554
Coefficient of variation (CV)0.72950829
Kurtosis4.3163289
Mean30.536396
Median Absolute Deviation (MAD)11
Skewness1.7031714
Sum110328
Variance496.24487
MonotonicityNot monotonic
2024-04-06T17:20:24.966467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 116
 
3.2%
13 113
 
3.1%
14 105
 
2.9%
17 100
 
2.8%
18 99
 
2.7%
15 99
 
2.7%
12 98
 
2.7%
21 97
 
2.7%
11 97
 
2.7%
20 97
 
2.7%
Other values (121) 2592
71.7%
ValueCountFrequency (%)
0 5
 
0.1%
1 15
 
0.4%
2 8
 
0.2%
3 29
 
0.8%
4 31
0.9%
5 39
1.1%
6 42
1.2%
7 48
1.3%
8 76
2.1%
9 76
2.1%
ValueCountFrequency (%)
193 1
< 0.1%
190 1
< 0.1%
154 1
< 0.1%
151 1
< 0.1%
147 1
< 0.1%
145 1
< 0.1%
141 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%
129 1
< 0.1%

64세남자
Real number (ℝ)

Distinct124
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.120399
Minimum0
Maximum162
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:25.281811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median23
Q337
95-th percentile69
Maximum162
Range162
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20.499498
Coefficient of variation (CV)0.7289903
Kurtosis4.099213
Mean28.120399
Median Absolute Deviation (MAD)11
Skewness1.6876121
Sum101599
Variance420.22941
MonotonicityNot monotonic
2024-04-06T17:20:26.093795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 124
 
3.4%
18 116
 
3.2%
15 114
 
3.2%
10 114
 
3.2%
12 107
 
3.0%
17 104
 
2.9%
11 99
 
2.7%
16 99
 
2.7%
20 95
 
2.6%
13 91
 
2.5%
Other values (114) 2550
70.6%
ValueCountFrequency (%)
0 8
 
0.2%
1 9
 
0.2%
2 24
 
0.7%
3 29
 
0.8%
4 32
 
0.9%
5 53
1.5%
6 64
1.8%
7 66
1.8%
8 81
2.2%
9 91
2.5%
ValueCountFrequency (%)
162 1
< 0.1%
152 1
< 0.1%
148 1
< 0.1%
144 1
< 0.1%
138 1
< 0.1%
135 1
< 0.1%
132 1
< 0.1%
125 2
0.1%
122 1
< 0.1%
121 2
0.1%

65세남자
Real number (ℝ)

Distinct113
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.251038
Minimum0
Maximum144
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:26.359830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median21
Q333
95-th percentile61
Maximum144
Range144
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.257792
Coefficient of variation (CV)0.72305117
Kurtosis3.7427805
Mean25.251038
Median Absolute Deviation (MAD)10
Skewness1.6156577
Sum91232
Variance333.34698
MonotonicityNot monotonic
2024-04-06T17:20:26.681497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 136
 
3.8%
11 126
 
3.5%
13 120
 
3.3%
17 118
 
3.3%
12 118
 
3.3%
15 118
 
3.3%
10 114
 
3.2%
18 111
 
3.1%
19 104
 
2.9%
16 102
 
2.8%
Other values (103) 2446
67.7%
ValueCountFrequency (%)
0 13
 
0.4%
1 13
 
0.4%
2 21
 
0.6%
3 40
 
1.1%
4 36
 
1.0%
5 54
 
1.5%
6 93
2.6%
7 92
2.5%
8 93
2.6%
9 136
3.8%
ValueCountFrequency (%)
144 1
< 0.1%
139 1
< 0.1%
125 1
< 0.1%
124 1
< 0.1%
121 1
< 0.1%
119 1
< 0.1%
111 2
0.1%
110 1
< 0.1%
109 1
< 0.1%
108 2
0.1%

66세남자
Real number (ℝ)

Distinct106
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.350401
Minimum0
Maximum145
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:27.101540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median20
Q332
95-th percentile59
Maximum145
Range145
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.484168
Coefficient of variation (CV)0.7180238
Kurtosis3.9076326
Mean24.350401
Median Absolute Deviation (MAD)9
Skewness1.6071141
Sum87978
Variance305.69612
MonotonicityNot monotonic
2024-04-06T17:20:27.434805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 134
 
3.7%
11 133
 
3.7%
14 126
 
3.5%
16 123
 
3.4%
10 117
 
3.2%
15 114
 
3.2%
13 108
 
3.0%
22 108
 
3.0%
9 107
 
3.0%
8 107
 
3.0%
Other values (96) 2436
67.4%
ValueCountFrequency (%)
0 13
 
0.4%
1 23
 
0.6%
2 14
 
0.4%
3 37
 
1.0%
4 59
1.6%
5 71
2.0%
6 85
2.4%
7 94
2.6%
8 107
3.0%
9 107
3.0%
ValueCountFrequency (%)
145 1
 
< 0.1%
137 1
 
< 0.1%
128 1
 
< 0.1%
127 1
 
< 0.1%
115 1
 
< 0.1%
113 1
 
< 0.1%
110 1
 
< 0.1%
108 1
 
< 0.1%
102 1
 
< 0.1%
101 4
0.1%

67세남자
Real number (ℝ)

Distinct98
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.13147
Minimum0
Maximum120
Zeros12
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:27.732204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median18
Q329
95-th percentile53
Maximum120
Range120
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.694591
Coefficient of variation (CV)0.70915269
Kurtosis3.5472328
Mean22.13147
Median Absolute Deviation (MAD)8
Skewness1.5706129
Sum79961
Variance246.3202
MonotonicityNot monotonic
2024-04-06T17:20:27.997056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 139
 
3.8%
14 137
 
3.8%
16 137
 
3.8%
15 135
 
3.7%
12 131
 
3.6%
8 130
 
3.6%
13 124
 
3.4%
11 122
 
3.4%
7 119
 
3.3%
9 119
 
3.3%
Other values (88) 2320
64.2%
ValueCountFrequency (%)
0 12
 
0.3%
1 18
 
0.5%
2 27
 
0.7%
3 47
 
1.3%
4 67
1.9%
5 77
2.1%
6 96
2.7%
7 119
3.3%
8 130
3.6%
9 119
3.3%
ValueCountFrequency (%)
120 1
< 0.1%
117 1
< 0.1%
107 1
< 0.1%
106 1
< 0.1%
104 1
< 0.1%
101 1
< 0.1%
99 1
< 0.1%
98 1
< 0.1%
97 1
< 0.1%
96 1
< 0.1%

68세남자
Real number (ℝ)

Distinct96
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.641849
Minimum0
Maximum120
Zeros13
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:28.398273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median17
Q327
95-th percentile49
Maximum120
Range120
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.775943
Coefficient of variation (CV)0.71582461
Kurtosis3.9849432
Mean20.641849
Median Absolute Deviation (MAD)8
Skewness1.6255082
Sum74579
Variance218.3285
MonotonicityNot monotonic
2024-04-06T17:20:28.670750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 157
 
4.3%
10 157
 
4.3%
11 144
 
4.0%
13 137
 
3.8%
12 135
 
3.7%
8 127
 
3.5%
15 122
 
3.4%
7 119
 
3.3%
19 119
 
3.3%
20 118
 
3.3%
Other values (86) 2278
63.1%
ValueCountFrequency (%)
0 13
 
0.4%
1 18
 
0.5%
2 45
 
1.2%
3 60
 
1.7%
4 65
1.8%
5 99
2.7%
6 110
3.0%
7 119
3.3%
8 127
3.5%
9 157
4.3%
ValueCountFrequency (%)
120 1
 
< 0.1%
111 1
 
< 0.1%
104 1
 
< 0.1%
100 1
 
< 0.1%
97 1
 
< 0.1%
95 1
 
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
90 1
 
< 0.1%
89 3
0.1%

69세남자
Real number (ℝ)

Distinct90
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.144755
Minimum0
Maximum120
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:29.059608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median17
Q327
95-th percentile48
Maximum120
Range120
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.288509
Coefficient of variation (CV)0.70929177
Kurtosis3.6257436
Mean20.144755
Median Absolute Deviation (MAD)8
Skewness1.5581176
Sum72783
Variance204.16149
MonotonicityNot monotonic
2024-04-06T17:20:29.486524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 170
 
4.7%
12 148
 
4.1%
10 147
 
4.1%
11 143
 
4.0%
8 139
 
3.8%
7 130
 
3.6%
17 130
 
3.6%
13 129
 
3.6%
5 122
 
3.4%
15 119
 
3.3%
Other values (80) 2236
61.9%
ValueCountFrequency (%)
0 9
 
0.2%
1 23
 
0.6%
2 43
 
1.2%
3 55
 
1.5%
4 67
 
1.9%
5 122
3.4%
6 108
3.0%
7 130
3.6%
8 139
3.8%
9 170
4.7%
ValueCountFrequency (%)
120 1
 
< 0.1%
103 2
0.1%
99 1
 
< 0.1%
90 1
 
< 0.1%
87 2
0.1%
86 3
0.1%
85 2
0.1%
83 1
 
< 0.1%
82 2
0.1%
81 1
 
< 0.1%

70세남자
Real number (ℝ)

Distinct68
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.03183
Minimum0
Maximum104
Zeros25
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:29.867028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median12
Q320
95-th percentile37
Maximum104
Range104
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.031433
Coefficient of variation (CV)0.7338716
Kurtosis4.0190893
Mean15.03183
Median Absolute Deviation (MAD)6
Skewness1.5724462
Sum54310
Variance121.69251
MonotonicityNot monotonic
2024-04-06T17:20:30.336123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 196
 
5.4%
7 189
 
5.2%
5 182
 
5.0%
12 176
 
4.9%
6 174
 
4.8%
9 171
 
4.7%
8 160
 
4.4%
11 157
 
4.3%
4 156
 
4.3%
13 144
 
4.0%
Other values (58) 1908
52.8%
ValueCountFrequency (%)
0 25
 
0.7%
1 59
 
1.6%
2 78
2.2%
3 125
3.5%
4 156
4.3%
5 182
5.0%
6 174
4.8%
7 189
5.2%
8 160
4.4%
9 171
4.7%
ValueCountFrequency (%)
104 1
 
< 0.1%
91 1
 
< 0.1%
74 1
 
< 0.1%
68 3
0.1%
67 1
 
< 0.1%
66 1
 
< 0.1%
65 3
0.1%
61 2
0.1%
60 2
0.1%
59 3
0.1%

71세남자
Real number (ℝ)

Distinct72
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.332964
Minimum0
Maximum90
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:30.658464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median13
Q321
95-th percentile37
Maximum90
Range90
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.010219
Coefficient of variation (CV)0.71807506
Kurtosis3.923767
Mean15.332964
Median Absolute Deviation (MAD)6
Skewness1.5662434
Sum55398
Variance121.22493
MonotonicityNot monotonic
2024-04-06T17:20:30.971419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 186
 
5.1%
8 183
 
5.1%
10 178
 
4.9%
11 175
 
4.8%
5 171
 
4.7%
7 161
 
4.5%
9 160
 
4.4%
12 159
 
4.4%
13 153
 
4.2%
4 147
 
4.1%
Other values (62) 1940
53.7%
ValueCountFrequency (%)
0 22
 
0.6%
1 44
 
1.2%
2 90
2.5%
3 99
2.7%
4 147
4.1%
5 171
4.7%
6 186
5.1%
7 161
4.5%
8 183
5.1%
9 160
4.4%
ValueCountFrequency (%)
90 2
0.1%
79 1
< 0.1%
76 2
0.1%
72 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%
67 1
< 0.1%
66 2
0.1%
63 1
< 0.1%
62 2
0.1%

72세남자
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.296706
Minimum0
Maximum78
Zeros39
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:31.283025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q316
95-th percentile29
Maximum78
Range78
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.7890866
Coefficient of variation (CV)0.71475128
Kurtosis4.0409409
Mean12.296706
Median Absolute Deviation (MAD)5
Skewness1.6000507
Sum44428
Variance77.248043
MonotonicityNot monotonic
2024-04-06T17:20:31.613702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 260
 
7.2%
5 234
 
6.5%
6 219
 
6.1%
8 211
 
5.8%
11 197
 
5.5%
10 194
 
5.4%
9 189
 
5.2%
4 187
 
5.2%
12 181
 
5.0%
3 154
 
4.3%
Other values (48) 1587
43.9%
ValueCountFrequency (%)
0 39
 
1.1%
1 67
 
1.9%
2 90
 
2.5%
3 154
4.3%
4 187
5.2%
5 234
6.5%
6 219
6.1%
7 260
7.2%
8 211
5.8%
9 189
5.2%
ValueCountFrequency (%)
78 1
 
< 0.1%
63 1
 
< 0.1%
61 1
 
< 0.1%
59 3
0.1%
58 2
0.1%
57 1
 
< 0.1%
54 3
0.1%
50 1
 
< 0.1%
49 2
0.1%
48 1
 
< 0.1%

73세남자
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.975644
Minimum0
Maximum71
Zeros39
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:31.920457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q315
95-th percentile26
Maximum71
Range71
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0246688
Coefficient of variation (CV)0.73113424
Kurtosis3.6208401
Mean10.975644
Median Absolute Deviation (MAD)5
Skewness1.5154323
Sum39655
Variance64.395309
MonotonicityNot monotonic
2024-04-06T17:20:32.227666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 248
 
6.9%
6 247
 
6.8%
7 239
 
6.6%
4 235
 
6.5%
8 230
 
6.4%
3 219
 
6.1%
9 190
 
5.3%
10 178
 
4.9%
11 170
 
4.7%
2 157
 
4.3%
Other values (44) 1500
41.5%
ValueCountFrequency (%)
0 39
 
1.1%
1 92
 
2.5%
2 157
4.3%
3 219
6.1%
4 235
6.5%
5 248
6.9%
6 247
6.8%
7 239
6.6%
8 230
6.4%
9 190
5.3%
ValueCountFrequency (%)
71 1
 
< 0.1%
60 1
 
< 0.1%
57 1
 
< 0.1%
54 1
 
< 0.1%
51 1
 
< 0.1%
48 2
0.1%
47 2
0.1%
46 3
0.1%
45 4
0.1%
44 1
 
< 0.1%

74세남자
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.002768
Minimum0
Maximum72
Zeros42
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:32.537092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q315
95-th percentile26
Maximum72
Range72
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0371503
Coefficient of variation (CV)0.73046623
Kurtosis4.1366994
Mean11.002768
Median Absolute Deviation (MAD)4
Skewness1.5898384
Sum39753
Variance64.595784
MonotonicityNot monotonic
2024-04-06T17:20:33.021702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 251
 
6.9%
4 244
 
6.8%
5 243
 
6.7%
7 240
 
6.6%
8 232
 
6.4%
3 198
 
5.5%
9 196
 
5.4%
11 192
 
5.3%
10 188
 
5.2%
12 169
 
4.7%
Other values (46) 1460
40.4%
ValueCountFrequency (%)
0 42
 
1.2%
1 81
 
2.2%
2 155
4.3%
3 198
5.5%
4 244
6.8%
5 243
6.7%
6 251
6.9%
7 240
6.6%
8 232
6.4%
9 196
5.4%
ValueCountFrequency (%)
72 1
 
< 0.1%
66 1
 
< 0.1%
61 1
 
< 0.1%
54 1
 
< 0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%
50 2
0.1%
48 1
 
< 0.1%
47 2
0.1%
46 3
0.1%

75세남자
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.357044
Minimum0
Maximum58
Zeros40
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:33.494295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q314
95-th percentile25
Maximum58
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.6199419
Coefficient of variation (CV)0.73572555
Kurtosis3.5514007
Mean10.357044
Median Absolute Deviation (MAD)4
Skewness1.5520781
Sum37420
Variance58.063514
MonotonicityNot monotonic
2024-04-06T17:20:33.841592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 294
 
8.1%
8 252
 
7.0%
7 241
 
6.7%
6 234
 
6.5%
4 221
 
6.1%
9 221
 
6.1%
3 209
 
5.8%
10 206
 
5.7%
2 189
 
5.2%
11 162
 
4.5%
Other values (41) 1384
38.3%
ValueCountFrequency (%)
0 40
 
1.1%
1 111
 
3.1%
2 189
5.2%
3 209
5.8%
4 221
6.1%
5 294
8.1%
6 234
6.5%
7 241
6.7%
8 252
7.0%
9 221
6.1%
ValueCountFrequency (%)
58 2
 
0.1%
53 1
 
< 0.1%
51 1
 
< 0.1%
50 1
 
< 0.1%
48 1
 
< 0.1%
47 1
 
< 0.1%
46 2
 
0.1%
44 5
0.1%
43 4
0.1%
41 4
0.1%

76세남자
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7356767
Minimum0
Maximum63
Zeros63
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:34.125301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313
95-th percentile24
Maximum63
Range63
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.279208
Coefficient of variation (CV)0.74768382
Kurtosis4.3806055
Mean9.7356767
Median Absolute Deviation (MAD)4
Skewness1.6417438
Sum35175
Variance52.986869
MonotonicityNot monotonic
2024-04-06T17:20:34.414690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 285
 
7.9%
6 269
 
7.4%
4 267
 
7.4%
8 265
 
7.3%
7 241
 
6.7%
3 232
 
6.4%
9 220
 
6.1%
2 185
 
5.1%
10 184
 
5.1%
11 164
 
4.5%
Other values (41) 1301
36.0%
ValueCountFrequency (%)
0 63
 
1.7%
1 122
3.4%
2 185
5.1%
3 232
6.4%
4 267
7.4%
5 285
7.9%
6 269
7.4%
7 241
6.7%
8 265
7.3%
9 220
6.1%
ValueCountFrequency (%)
63 1
 
< 0.1%
60 1
 
< 0.1%
55 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
46 2
 
0.1%
44 2
 
0.1%
43 2
 
0.1%
42 3
0.1%
41 5
0.1%

77세남자
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.665375
Minimum0
Maximum57
Zeros85
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:34.693669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q312
95-th percentile21
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.530032
Coefficient of variation (CV)0.75357754
Kurtosis3.8128111
Mean8.665375
Median Absolute Deviation (MAD)4
Skewness1.548475
Sum31308
Variance42.641317
MonotonicityNot monotonic
2024-04-06T17:20:35.500992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3 304
 
8.4%
4 303
 
8.4%
5 301
 
8.3%
6 292
 
8.1%
7 254
 
7.0%
8 253
 
7.0%
2 208
 
5.8%
9 190
 
5.3%
10 185
 
5.1%
11 157
 
4.3%
Other values (36) 1166
32.3%
ValueCountFrequency (%)
0 85
 
2.4%
1 155
4.3%
2 208
5.8%
3 304
8.4%
4 303
8.4%
5 301
8.3%
6 292
8.1%
7 254
7.0%
8 253
7.0%
9 190
5.3%
ValueCountFrequency (%)
57 1
 
< 0.1%
53 1
 
< 0.1%
46 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%
40 1
 
< 0.1%
39 2
0.1%
38 2
0.1%
36 3
0.1%

78세남자
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0708552
Minimum0
Maximum45
Zeros142
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:35.836934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8291365
Coefficient of variation (CV)0.79546231
Kurtosis4.3702013
Mean6.0708552
Median Absolute Deviation (MAD)3
Skewness1.6096885
Sum21934
Variance23.32056
MonotonicityNot monotonic
2024-04-06T17:20:36.076470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 412
11.4%
2 409
11.3%
4 408
11.3%
5 333
9.2%
1 307
8.5%
6 297
8.2%
7 262
 
7.3%
8 171
 
4.7%
9 162
 
4.5%
0 142
 
3.9%
Other values (25) 710
19.7%
ValueCountFrequency (%)
0 142
 
3.9%
1 307
8.5%
2 409
11.3%
3 412
11.4%
4 408
11.3%
5 333
9.2%
6 297
8.2%
7 262
7.3%
8 171
4.7%
9 162
 
4.5%
ValueCountFrequency (%)
45 1
 
< 0.1%
41 1
 
< 0.1%
37 1
 
< 0.1%
34 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 4
0.1%
26 3
0.1%
25 6
0.2%

79세남자
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4035428
Minimum0
Maximum49
Zeros138
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:36.346696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile16
Maximum49
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9611903
Coefficient of variation (CV)0.77475712
Kurtosis4.292665
Mean6.4035428
Median Absolute Deviation (MAD)3
Skewness1.584759
Sum23136
Variance24.613409
MonotonicityNot monotonic
2024-04-06T17:20:36.605064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 394
10.9%
3 393
10.9%
5 364
10.1%
2 348
9.6%
6 320
8.9%
1 262
 
7.3%
7 245
 
6.8%
8 226
 
6.3%
9 156
 
4.3%
10 145
 
4.0%
Other values (26) 760
21.0%
ValueCountFrequency (%)
0 138
 
3.8%
1 262
7.3%
2 348
9.6%
3 393
10.9%
4 394
10.9%
5 364
10.1%
6 320
8.9%
7 245
6.8%
8 226
6.3%
9 156
 
4.3%
ValueCountFrequency (%)
49 1
 
< 0.1%
36 1
 
< 0.1%
35 2
0.1%
33 1
 
< 0.1%
31 1
 
< 0.1%
30 2
0.1%
29 1
 
< 0.1%
28 3
0.1%
27 2
0.1%
26 2
0.1%

80세남자
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6346526
Minimum0
Maximum36
Zeros168
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:36.837465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q38
95-th percentile14
Maximum36
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5067238
Coefficient of variation (CV)0.79982283
Kurtosis3.808939
Mean5.6346526
Median Absolute Deviation (MAD)3
Skewness1.5973817
Sum20358
Variance20.31056
MonotonicityNot monotonic
2024-04-06T17:20:37.060125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 464
12.8%
2 425
11.8%
4 422
11.7%
5 342
9.5%
1 327
9.1%
6 270
7.5%
7 254
7.0%
9 190
 
5.3%
8 176
 
4.9%
0 168
 
4.6%
Other values (21) 575
15.9%
ValueCountFrequency (%)
0 168
 
4.6%
1 327
9.1%
2 425
11.8%
3 464
12.8%
4 422
11.7%
5 342
9.5%
6 270
7.5%
7 254
7.0%
8 176
 
4.9%
9 190
5.3%
ValueCountFrequency (%)
36 1
 
< 0.1%
32 3
 
0.1%
30 1
 
< 0.1%
27 2
 
0.1%
26 5
0.1%
25 4
 
0.1%
24 3
 
0.1%
23 5
0.1%
22 10
0.3%
21 11
0.3%

81세남자
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8978688
Minimum0
Maximum44
Zeros109
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:37.345511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q39
95-th percentile17
Maximum44
Range44
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1615462
Coefficient of variation (CV)0.7482813
Kurtosis4.1125421
Mean6.8978688
Median Absolute Deviation (MAD)3
Skewness1.5582438
Sum24922
Variance26.64156
MonotonicityNot monotonic
2024-04-06T17:20:37.587224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3 365
10.1%
4 365
10.1%
6 337
9.3%
5 335
9.3%
2 301
 
8.3%
7 251
 
6.9%
8 240
 
6.6%
1 231
 
6.4%
9 226
 
6.3%
10 164
 
4.5%
Other values (29) 798
22.1%
ValueCountFrequency (%)
0 109
 
3.0%
1 231
6.4%
2 301
8.3%
3 365
10.1%
4 365
10.1%
5 335
9.3%
6 337
9.3%
7 251
6.9%
8 240
6.6%
9 226
6.3%
ValueCountFrequency (%)
44 1
< 0.1%
43 1
< 0.1%
37 2
0.1%
36 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%

82세남자
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9177968
Minimum0
Maximum36
Zeros141
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:37.840229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile15
Maximum36
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4596315
Coefficient of variation (CV)0.75359658
Kurtosis3.0685841
Mean5.9177968
Median Absolute Deviation (MAD)3
Skewness1.4312763
Sum21381
Variance19.888313
MonotonicityNot monotonic
2024-04-06T17:20:38.109524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 428
11.8%
3 423
11.7%
2 388
10.7%
5 373
10.3%
6 298
8.2%
1 277
7.7%
7 266
7.4%
8 208
 
5.8%
9 179
 
5.0%
0 141
 
3.9%
Other values (23) 632
17.5%
ValueCountFrequency (%)
0 141
 
3.9%
1 277
7.7%
2 388
10.7%
3 423
11.7%
4 428
11.8%
5 373
10.3%
6 298
8.2%
7 266
7.4%
8 208
5.8%
9 179
5.0%
ValueCountFrequency (%)
36 1
 
< 0.1%
33 1
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
27 3
0.1%
26 1
 
< 0.1%
25 3
0.1%
24 2
0.1%
23 2
0.1%

83세남자
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5566012
Minimum0
Maximum34
Zeros242
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:38.381832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile12
Maximum34
Range34
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6218573
Coefficient of variation (CV)0.79485941
Kurtosis4.6206856
Mean4.5566012
Median Absolute Deviation (MAD)2
Skewness1.6067774
Sum16463
Variance13.11785
MonotonicityNot monotonic
2024-04-06T17:20:38.632057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 526
14.6%
2 512
14.2%
4 464
12.8%
1 401
11.1%
5 355
9.8%
6 297
8.2%
0 242
6.7%
7 209
 
5.8%
8 155
 
4.3%
9 123
 
3.4%
Other values (17) 329
9.1%
ValueCountFrequency (%)
0 242
6.7%
1 401
11.1%
2 512
14.2%
3 526
14.6%
4 464
12.8%
5 355
9.8%
6 297
8.2%
7 209
 
5.8%
8 155
 
4.3%
9 123
 
3.4%
ValueCountFrequency (%)
34 1
 
< 0.1%
30 2
 
0.1%
25 2
 
0.1%
23 1
 
< 0.1%
22 2
 
0.1%
21 1
 
< 0.1%
20 3
 
0.1%
19 5
 
0.1%
18 3
 
0.1%
17 15
0.4%

84세남자
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3636867
Minimum0
Maximum24
Zeros257
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:38.876976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile11
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3662597
Coefficient of variation (CV)0.77142561
Kurtosis2.8535703
Mean4.3636867
Median Absolute Deviation (MAD)2
Skewness1.3641829
Sum15766
Variance11.331704
MonotonicityNot monotonic
2024-04-06T17:20:39.111322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 539
14.9%
2 523
14.5%
4 477
13.2%
1 412
11.4%
5 347
9.6%
6 278
7.7%
0 257
7.1%
7 210
 
5.8%
8 164
 
4.5%
9 126
 
3.5%
Other values (15) 280
7.7%
ValueCountFrequency (%)
0 257
7.1%
1 412
11.4%
2 523
14.5%
3 539
14.9%
4 477
13.2%
5 347
9.6%
6 278
7.7%
7 210
 
5.8%
8 164
 
4.5%
9 126
 
3.5%
ValueCountFrequency (%)
24 1
 
< 0.1%
23 1
 
< 0.1%
22 4
 
0.1%
21 1
 
< 0.1%
20 4
 
0.1%
19 3
 
0.1%
18 6
0.2%
17 6
0.2%
16 7
0.2%
15 12
0.3%

85세남자
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8247993
Minimum0
Maximum27
Zeros308
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:39.325456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile10
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0100468
Coefficient of variation (CV)0.78698162
Kurtosis3.559569
Mean3.8247993
Median Absolute Deviation (MAD)2
Skewness1.408367
Sum13819
Variance9.0603815
MonotonicityNot monotonic
2024-04-06T17:20:39.546270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 606
16.8%
1 519
14.4%
3 491
13.6%
4 468
13.0%
5 363
10.0%
0 308
8.5%
6 279
7.7%
7 205
 
5.7%
8 105
 
2.9%
9 87
 
2.4%
Other values (13) 182
 
5.0%
ValueCountFrequency (%)
0 308
8.5%
1 519
14.4%
2 606
16.8%
3 491
13.6%
4 468
13.0%
5 363
10.0%
6 279
7.7%
7 205
 
5.7%
8 105
 
2.9%
9 87
 
2.4%
ValueCountFrequency (%)
27 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
19 4
 
0.1%
18 4
 
0.1%
17 3
 
0.1%
16 3
 
0.1%
15 7
 
0.2%
14 11
0.3%
13 18
0.5%

86세남자
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2989206
Minimum0
Maximum19
Zeros400
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:39.756305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile8
Maximum19
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6847652
Coefficient of variation (CV)0.8138314
Kurtosis2.4542681
Mean3.2989206
Median Absolute Deviation (MAD)2
Skewness1.3187614
Sum11919
Variance7.207964
MonotonicityNot monotonic
2024-04-06T17:20:40.018451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 619
17.1%
1 614
17.0%
3 592
16.4%
4 453
12.5%
0 400
11.1%
5 304
8.4%
6 214
 
5.9%
7 156
 
4.3%
8 89
 
2.5%
9 60
 
1.7%
Other values (9) 112
 
3.1%
ValueCountFrequency (%)
0 400
11.1%
1 614
17.0%
2 619
17.1%
3 592
16.4%
4 453
12.5%
5 304
8.4%
6 214
 
5.9%
7 156
 
4.3%
8 89
 
2.5%
9 60
 
1.7%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 3
 
0.1%
16 1
 
< 0.1%
15 4
 
0.1%
14 9
 
0.2%
13 15
 
0.4%
12 24
 
0.7%
11 26
0.7%
10 29
0.8%
9 60
1.7%

87세남자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.862718
Minimum0
Maximum18
Zeros480
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:40.335156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum18
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4102901
Coefficient of variation (CV)0.84195863
Kurtosis2.7552894
Mean2.862718
Median Absolute Deviation (MAD)1
Skewness1.3672885
Sum10343
Variance5.8094984
MonotonicityNot monotonic
2024-04-06T17:20:40.650530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 731
20.2%
2 649
18.0%
3 631
17.5%
0 480
13.3%
4 399
11.0%
5 270
 
7.5%
6 164
 
4.5%
7 110
 
3.0%
9 58
 
1.6%
8 55
 
1.5%
Other values (8) 66
 
1.8%
ValueCountFrequency (%)
0 480
13.3%
1 731
20.2%
2 649
18.0%
3 631
17.5%
4 399
11.0%
5 270
 
7.5%
6 164
 
4.5%
7 110
 
3.0%
8 55
 
1.5%
9 58
 
1.6%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 2
 
0.1%
15 2
 
0.1%
14 4
 
0.1%
13 7
 
0.2%
12 8
 
0.2%
11 16
 
0.4%
10 26
0.7%
9 58
1.6%
8 55
1.5%

88세남자
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4602823
Minimum0
Maximum17
Zeros600
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:40.934474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1294974
Coefficient of variation (CV)0.86555003
Kurtosis2.8862844
Mean2.4602823
Median Absolute Deviation (MAD)1
Skewness1.3355657
Sum8889
Variance4.5347593
MonotonicityNot monotonic
2024-04-06T17:20:41.202917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 811
22.4%
2 724
20.0%
0 600
16.6%
3 547
15.1%
4 395
10.9%
5 218
 
6.0%
6 135
 
3.7%
7 86
 
2.4%
8 35
 
1.0%
9 32
 
0.9%
Other values (6) 30
 
0.8%
ValueCountFrequency (%)
0 600
16.6%
1 811
22.4%
2 724
20.0%
3 547
15.1%
4 395
10.9%
5 218
 
6.0%
6 135
 
3.7%
7 86
 
2.4%
8 35
 
1.0%
9 32
 
0.9%
ValueCountFrequency (%)
17 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
0.1%
12 6
 
0.2%
11 4
 
0.1%
10 16
 
0.4%
9 32
 
0.9%
8 35
 
1.0%
7 86
2.4%
6 135
3.7%

89세남자
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0033213
Minimum0
Maximum13
Zeros742
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:41.542869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8561174
Coefficient of variation (CV)0.92652004
Kurtosis2.7377583
Mean2.0033213
Median Absolute Deviation (MAD)1
Skewness1.4150523
Sum7238
Variance3.4451717
MonotonicityNot monotonic
2024-04-06T17:20:41.871861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 1009
27.9%
2 746
20.6%
0 742
20.5%
3 484
13.4%
4 281
 
7.8%
5 163
 
4.5%
6 84
 
2.3%
7 46
 
1.3%
8 29
 
0.8%
9 12
 
0.3%
Other values (4) 17
 
0.5%
ValueCountFrequency (%)
0 742
20.5%
1 1009
27.9%
2 746
20.6%
3 484
13.4%
4 281
 
7.8%
5 163
 
4.5%
6 84
 
2.3%
7 46
 
1.3%
8 29
 
0.8%
9 12
 
0.3%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 1
 
< 0.1%
11 5
 
0.1%
10 10
 
0.3%
9 12
 
0.3%
8 29
 
0.8%
7 46
 
1.3%
6 84
 
2.3%
5 163
4.5%
4 281
7.8%

90세남자
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5034597
Minimum0
Maximum13
Zeros1073
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:42.097535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.523824
Coefficient of variation (CV)1.0135449
Kurtosis3.8481842
Mean1.5034597
Median Absolute Deviation (MAD)1
Skewness1.4979445
Sum5432
Variance2.3220395
MonotonicityNot monotonic
2024-04-06T17:20:42.440743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1073
29.7%
1 1073
29.7%
2 707
19.6%
3 397
 
11.0%
4 195
 
5.4%
5 99
 
2.7%
6 41
 
1.1%
8 12
 
0.3%
7 9
 
0.2%
10 3
 
0.1%
Other values (2) 4
 
0.1%
ValueCountFrequency (%)
0 1073
29.7%
1 1073
29.7%
2 707
19.6%
3 397
 
11.0%
4 195
 
5.4%
5 99
 
2.7%
6 41
 
1.1%
7 9
 
0.2%
8 12
 
0.3%
9 2
 
0.1%
ValueCountFrequency (%)
13 2
 
0.1%
10 3
 
0.1%
9 2
 
0.1%
8 12
 
0.3%
7 9
 
0.2%
6 41
 
1.1%
5 99
 
2.7%
4 195
 
5.4%
3 397
11.0%
2 707
19.6%

91세남자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1815666
Minimum0
Maximum8
Zeros1328
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:42.709236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2852873
Coefficient of variation (CV)1.0877824
Kurtosis2.2922316
Mean1.1815666
Median Absolute Deviation (MAD)1
Skewness1.3785143
Sum4269
Variance1.6519635
MonotonicityNot monotonic
2024-04-06T17:20:42.906852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1328
36.8%
1 1150
31.8%
2 634
17.5%
3 282
 
7.8%
4 133
 
3.7%
5 58
 
1.6%
6 16
 
0.4%
7 9
 
0.2%
8 3
 
0.1%
ValueCountFrequency (%)
0 1328
36.8%
1 1150
31.8%
2 634
17.5%
3 282
 
7.8%
4 133
 
3.7%
5 58
 
1.6%
6 16
 
0.4%
7 9
 
0.2%
8 3
 
0.1%
ValueCountFrequency (%)
8 3
 
0.1%
7 9
 
0.2%
6 16
 
0.4%
5 58
 
1.6%
4 133
 
3.7%
3 282
 
7.8%
2 634
17.5%
1 1150
31.8%
0 1328
36.8%

92세남자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86271796
Minimum0
Maximum7
Zeros1718
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:43.154150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0785727
Coefficient of variation (CV)1.2502031
Kurtosis2.9829535
Mean0.86271796
Median Absolute Deviation (MAD)1
Skewness1.5581858
Sum3117
Variance1.163319
MonotonicityNot monotonic
2024-04-06T17:20:43.356309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1718
47.6%
1 1120
31.0%
2 480
 
13.3%
3 192
 
5.3%
4 68
 
1.9%
5 24
 
0.7%
6 8
 
0.2%
7 3
 
0.1%
ValueCountFrequency (%)
0 1718
47.6%
1 1120
31.0%
2 480
 
13.3%
3 192
 
5.3%
4 68
 
1.9%
5 24
 
0.7%
6 8
 
0.2%
7 3
 
0.1%
ValueCountFrequency (%)
7 3
 
0.1%
6 8
 
0.2%
5 24
 
0.7%
4 68
 
1.9%
3 192
 
5.3%
2 480
 
13.3%
1 1120
31.0%
0 1718
47.6%

93세남자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59479657
Minimum0
Maximum6
Zeros2141
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:43.587319image/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 deviation0.86981849
Coefficient of variation (CV)1.4623798
Kurtosis3.4817485
Mean0.59479657
Median Absolute Deviation (MAD)0
Skewness1.7192226
Sum2149
Variance0.75658421
MonotonicityNot monotonic
2024-04-06T17:20:43.836789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2141
59.3%
1 987
27.3%
2 342
 
9.5%
3 105
 
2.9%
4 29
 
0.8%
5 7
 
0.2%
6 2
 
0.1%
ValueCountFrequency (%)
0 2141
59.3%
1 987
27.3%
2 342
 
9.5%
3 105
 
2.9%
4 29
 
0.8%
5 7
 
0.2%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
5 7
 
0.2%
4 29
 
0.8%
3 105
 
2.9%
2 342
 
9.5%
1 987
27.3%
0 2141
59.3%

94세남자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48353169
Minimum0
Maximum7
Zeros2306
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:44.096755image/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 deviation0.75817255
Coefficient of variation (CV)1.5679894
Kurtosis5.6797744
Mean0.48353169
Median Absolute Deviation (MAD)0
Skewness1.9644822
Sum1747
Variance0.57482562
MonotonicityNot monotonic
2024-04-06T17:20:44.328528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2306
63.8%
1 972
26.9%
2 259
 
7.2%
3 56
 
1.5%
4 14
 
0.4%
5 4
 
0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 2306
63.8%
1 972
26.9%
2 259
 
7.2%
3 56
 
1.5%
4 14
 
0.4%
5 4
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
5 4
 
0.1%
4 14
 
0.4%
3 56
 
1.5%
2 259
 
7.2%
1 972
26.9%
0 2306
63.8%

95세남자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34154442
Minimum0
Maximum5
Zeros2612
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:44.588297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61508676
Coefficient of variation (CV)1.8008983
Kurtosis4.4943376
Mean0.34154442
Median Absolute Deviation (MAD)0
Skewness1.9734674
Sum1234
Variance0.37833172
MonotonicityNot monotonic
2024-04-06T17:20:44.853252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2612
72.3%
1 806
 
22.3%
2 162
 
4.5%
3 29
 
0.8%
4 3
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2612
72.3%
1 806
 
22.3%
2 162
 
4.5%
3 29
 
0.8%
4 3
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 3
 
0.1%
3 29
 
0.8%
2 162
 
4.5%
1 806
 
22.3%
0 2612
72.3%

96세남자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
2860 
1
645 
2
 
95
3
 
9
4
 
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 2860
79.2%
1 645
 
17.9%
2 95
 
2.6%
3 9
 
0.2%
4 4
 
0.1%

Length

2024-04-06T17:20:45.219966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:45.441073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2860
79.2%
1 645
 
17.9%
2 95
 
2.6%
3 9
 
0.2%
4 4
 
0.1%

97세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3116 
1
451 
2
 
42
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3116
86.2%
1 451
 
12.5%
2 42
 
1.2%
3 4
 
0.1%

Length

2024-04-06T17:20:45.684866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:45.896010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3116
86.2%
1 451
 
12.5%
2 42
 
1.2%
3 4
 
0.1%

98세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3316 
1
 
270
2
 
24
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 3316
91.8%
1 270
 
7.5%
2 24
 
0.7%
3 3
 
0.1%

Length

2024-04-06T17:20:46.115268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:46.446622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3316
91.8%
1 270
 
7.5%
2 24
 
0.7%
3 3
 
0.1%

99세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3406 
1
 
200
2
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3406
94.3%
1 200
 
5.5%
2 6
 
0.2%
3 1
 
< 0.1%

Length

2024-04-06T17:20:46.688103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:46.893174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3406
94.3%
1 200
 
5.5%
2 6
 
0.2%
3 1
 
< 0.1%

100세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3416 
1
 
185
2
 
11
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3416
94.5%
1 185
 
5.1%
2 11
 
0.3%
3 1
 
< 0.1%

Length

2024-04-06T17:20:47.090550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:47.303914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3416
94.5%
1 185
 
5.1%
2 11
 
0.3%
3 1
 
< 0.1%

101세남자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3487 
1
 
122
2
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3487
96.5%
1 122
 
3.4%
2 3
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:20:47.515194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:47.702142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3487
96.5%
1 122
 
3.4%
2 3
 
0.1%
3 1
 
< 0.1%

102세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3539 
1
 
74

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 3539
98.0%
1 74
 
2.0%

Length

2024-04-06T17:20:47.950697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:48.191493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3539
98.0%
1 74
 
2.0%

103세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3569 
1
 
43
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 3569
98.8%
1 43
 
1.2%
2 1
 
< 0.1%

Length

2024-04-06T17:20:48.425942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:48.676035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3569
98.8%
1 43
 
1.2%
2 1
 
< 0.1%

104세남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3575 
1
 
37
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 3575
98.9%
1 37
 
1.0%
2 1
 
< 0.1%

Length

2024-04-06T17:20:48.882905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:49.572121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3575
98.9%
1 37
 
1.0%
2 1
 
< 0.1%

105세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3597 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3597
99.6%
1 16
 
0.4%

Length

2024-04-06T17:20:49.771464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:49.978817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3597
99.6%
1 16
 
0.4%

106세남자
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

2024-04-06T17:20:50.273527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:50.482054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3601
99.7%
1 12
 
0.3%

107세남자
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 row1
3rd row0
4th row0
5th row0

Common Values

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

Length

2024-04-06T17:20:50.735094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:50.944053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3601
99.7%
1 12
 
0.3%

108세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3608 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3608
99.9%
1 5
 
0.1%

Length

2024-04-06T17:20:51.141243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:51.320996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3608
99.9%
1 5
 
0.1%

109세남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3610 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3610
99.9%
1 3
 
0.1%

Length

2024-04-06T17:20:51.535810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:51.781195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3610
99.9%
1 3
 
0.1%

110세이상 남자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3605 
1
 
7
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 3605
99.8%
1 7
 
0.2%
2 1
 
< 0.1%

Length

2024-04-06T17:20:52.037706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:52.264452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3605
99.8%
1 7
 
0.2%
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

2024-04-06T17:20:52.586766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:52.850603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3601
99.7%
1 12
 
0.3%

1세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3585 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3585
99.2%
1 28
 
0.8%

Length

2024-04-06T17:20:53.099496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:53.318682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3585
99.2%
1 28
 
0.8%

2세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3558 
1
 
54
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 3558
98.5%
1 54
 
1.5%
2 1
 
< 0.1%

Length

2024-04-06T17:20:53.517341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:53.727525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3558
98.5%
1 54
 
1.5%
2 1
 
< 0.1%

3세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3544 
1
 
67
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 3544
98.1%
1 67
 
1.9%
2 2
 
0.1%

Length

2024-04-06T17:20:54.019825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:54.327263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3544
98.1%
1 67
 
1.9%
2 2
 
0.1%

4세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3507 
1
 
101
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3507
97.1%
1 101
 
2.8%
2 5
 
0.1%

Length

2024-04-06T17:20:54.531876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:54.753580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3507
97.1%
1 101
 
2.8%
2 5
 
0.1%

5세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3477 
1
 
130
2
 
5
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 3477
96.2%
1 130
 
3.6%
2 5
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:20:55.049349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:55.294088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3477
96.2%
1 130
 
3.6%
2 5
 
0.1%
3 1
 
< 0.1%

6세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3460 
1
 
138
2
 
14
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 3460
95.8%
1 138
 
3.8%
2 14
 
0.4%
3 1
 
< 0.1%

Length

2024-04-06T17:20:55.558635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:55.800069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3460
95.8%
1 138
 
3.8%
2 14
 
0.4%
3 1
 
< 0.1%

7세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3422 
1
 
176
2
 
14
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 3422
94.7%
1 176
 
4.9%
2 14
 
0.4%
3 1
 
< 0.1%

Length

2024-04-06T17:20:56.032195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:56.262496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3422
94.7%
1 176
 
4.9%
2 14
 
0.4%
3 1
 
< 0.1%

8세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.067257127
Minimum0
Maximum5
Zeros3402
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:56.447157image/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 deviation0.29515116
Coefficient of variation (CV)4.3883998
Kurtosis50.346449
Mean0.067257127
Median Absolute Deviation (MAD)0
Skewness5.8652566
Sum243
Variance0.087114208
MonotonicityNot monotonic
2024-04-06T17:20:56.675660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3402
94.2%
1 187
 
5.2%
2 19
 
0.5%
3 3
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 3402
94.2%
1 187
 
5.2%
2 19
 
0.5%
3 3
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
0.1%
2 19
 
0.5%
1 187
 
5.2%
0 3402
94.2%

9세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3365 
1
 
221
2
 
24
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 3365
93.1%
1 221
 
6.1%
2 24
 
0.7%
3 2
 
0.1%
4 1
 
< 0.1%

Length

2024-04-06T17:20:56.935579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:57.175272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3365
93.1%
1 221
 
6.1%
2 24
 
0.7%
3 2
 
0.1%
4 1
 
< 0.1%

10세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3339 
1
 
239
2
 
27
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 3339
92.4%
1 239
 
6.6%
2 27
 
0.7%
3 7
 
0.2%
4 1
 
< 0.1%

Length

2024-04-06T17:20:57.397345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:57.634993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3339
92.4%
1 239
 
6.6%
2 27
 
0.7%
3 7
 
0.2%
4 1
 
< 0.1%

11세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.098256297
Minimum0
Maximum5
Zeros3298
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:57.986262image/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 deviation0.34588189
Coefficient of variation (CV)3.5202007
Kurtosis31.904809
Mean0.098256297
Median Absolute Deviation (MAD)0
Skewness4.6338214
Sum355
Variance0.11963428
MonotonicityNot monotonic
2024-04-06T17:20:58.362839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3298
91.3%
1 286
 
7.9%
2 22
 
0.6%
3 4
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 3298
91.3%
1 286
 
7.9%
2 22
 
0.6%
3 4
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
0.1%
3 4
 
0.1%
2 22
 
0.6%
1 286
 
7.9%
0 3298
91.3%

12세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3354 
1
 
207
2
 
45
3
 
4
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3354
92.8%
1 207
 
5.7%
2 45
 
1.2%
3 4
 
0.1%
4 3
 
0.1%

Length

2024-04-06T17:20:58.718205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:59.002146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3354
92.8%
1 207
 
5.7%
2 45
 
1.2%
3 4
 
0.1%
4 3
 
0.1%

13세여자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11513977
Minimum0
Maximum20
Zeros3295
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:59.271037image/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 deviation0.54175126
Coefficient of variation (CV)4.7051617
Kurtosis557.46613
Mean0.11513977
Median Absolute Deviation (MAD)0
Skewness17.868327
Sum416
Variance0.29349442
MonotonicityNot monotonic
2024-04-06T17:20:59.560744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3295
91.2%
1 266
 
7.4%
2 39
 
1.1%
3 7
 
0.2%
5 2
 
0.1%
4 1
 
< 0.1%
20 1
 
< 0.1%
11 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3295
91.2%
1 266
 
7.4%
2 39
 
1.1%
3 7
 
0.2%
4 1
 
< 0.1%
5 2
 
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 2
 
0.1%
4 1
 
< 0.1%
3 7
 
0.2%
2 39
 
1.1%
1 266
 
7.4%
0 3295
91.2%

14세여자
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11790756
Minimum0
Maximum17
Zeros3279
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:20:59.982253image/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 deviation0.52028917
Coefficient of variation (CV)4.4126873
Kurtosis366.39517
Mean0.11790756
Median Absolute Deviation (MAD)0
Skewness14.389476
Sum426
Variance0.27070083
MonotonicityNot monotonic
2024-04-06T17:21:00.473563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3279
90.8%
1 288
 
8.0%
2 34
 
0.9%
3 6
 
0.2%
8 2
 
0.1%
4 1
 
< 0.1%
9 1
 
< 0.1%
17 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 3279
90.8%
1 288
 
8.0%
2 34
 
0.9%
3 6
 
0.2%
4 1
 
< 0.1%
6 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
9 1
 
< 0.1%
8 2
 
0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
3 6
 
0.2%
2 34
 
0.9%
1 288
 
8.0%
0 3279
90.8%

15세여자
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21727097
Minimum0
Maximum31
Zeros3209
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:00.815279image/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 deviation1.3059666
Coefficient of variation (CV)6.0107737
Kurtosis272.38394
Mean0.21727097
Median Absolute Deviation (MAD)0
Skewness14.742728
Sum785
Variance1.7055488
MonotonicityNot monotonic
2024-04-06T17:21:01.127061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3209
88.8%
1 315
 
8.7%
2 54
 
1.5%
3 9
 
0.2%
9 4
 
0.1%
17 3
 
0.1%
5 3
 
0.1%
10 2
 
0.1%
14 2
 
0.1%
11 1
 
< 0.1%
Other values (11) 11
 
0.3%
ValueCountFrequency (%)
0 3209
88.8%
1 315
 
8.7%
2 54
 
1.5%
3 9
 
0.2%
4 1
 
< 0.1%
5 3
 
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 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29089399
Minimum0
Maximum53
Zeros3117
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:01.442136image/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 deviation1.7647708
Coefficient of variation (CV)6.0667144
Kurtosis421.70447
Mean0.29089399
Median Absolute Deviation (MAD)0
Skewness17.742353
Sum1051
Variance3.114416
MonotonicityNot monotonic
2024-04-06T17:21:01.813534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3117
86.3%
1 376
 
10.4%
2 64
 
1.8%
3 15
 
0.4%
4 8
 
0.2%
8 5
 
0.1%
9 4
 
0.1%
16 3
 
0.1%
6 3
 
0.1%
12 3
 
0.1%
Other values (11) 15
 
0.4%
ValueCountFrequency (%)
0 3117
86.3%
1 376
 
10.4%
2 64
 
1.8%
3 15
 
0.4%
4 8
 
0.2%
5 2
 
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%
12 3
0.1%
11 1
 
< 0.1%

17세여자
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30085801
Minimum0
Maximum30
Zeros3048
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:02.081764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4407808
Coefficient of variation (CV)4.7889061
Kurtosis206.1296
Mean0.30085801
Median Absolute Deviation (MAD)0
Skewness12.674614
Sum1087
Variance2.0758492
MonotonicityNot monotonic
2024-04-06T17:21:02.347870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 3048
84.4%
1 422
 
11.7%
2 77
 
2.1%
3 24
 
0.7%
5 8
 
0.2%
4 8
 
0.2%
14 3
 
0.1%
6 3
 
0.1%
9 3
 
0.1%
13 2
 
0.1%
Other values (10) 15
 
0.4%
ValueCountFrequency (%)
0 3048
84.4%
1 422
 
11.7%
2 77
 
2.1%
3 24
 
0.7%
4 8
 
0.2%
5 8
 
0.2%
6 3
 
0.1%
7 2
 
0.1%
8 2
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
30 2
0.1%
29 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
19 2
0.1%
15 2
0.1%
14 3
0.1%
13 2
0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%

18세여자
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5510656
Minimum0
Maximum119
Zeros2364
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:02.683348image/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 deviation6.1594679
Coefficient of variation (CV)3.9711202
Kurtosis150.2887
Mean1.5510656
Median Absolute Deviation (MAD)0
Skewness10.687256
Sum5604
Variance37.939044
MonotonicityNot monotonic
2024-04-06T17:21:03.084537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2364
65.4%
1 576
 
15.9%
2 229
 
6.3%
3 108
 
3.0%
4 65
 
1.8%
5 49
 
1.4%
7 36
 
1.0%
6 35
 
1.0%
8 17
 
0.5%
9 16
 
0.4%
Other values (40) 118
 
3.3%
ValueCountFrequency (%)
0 2364
65.4%
1 576
 
15.9%
2 229
 
6.3%
3 108
 
3.0%
4 65
 
1.8%
5 49
 
1.4%
6 35
 
1.0%
7 36
 
1.0%
8 17
 
0.5%
9 16
 
0.4%
ValueCountFrequency (%)
119 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%
100 1
< 0.1%
91 1
< 0.1%
89 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%
67 1
< 0.1%
58 1
< 0.1%

19세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7381677
Minimum0
Maximum230
Zeros1742
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:03.541345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum230
Range230
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.213367
Coefficient of variation (CV)3.4218644
Kurtosis76.082576
Mean4.7381677
Median Absolute Deviation (MAD)1
Skewness7.8004616
Sum17119
Variance262.87329
MonotonicityNot monotonic
2024-04-06T17:21:03.945451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1742
48.2%
1 608
 
16.8%
2 319
 
8.8%
3 186
 
5.1%
4 116
 
3.2%
5 83
 
2.3%
6 66
 
1.8%
7 45
 
1.2%
8 40
 
1.1%
9 31
 
0.9%
Other values (86) 377
 
10.4%
ValueCountFrequency (%)
0 1742
48.2%
1 608
 
16.8%
2 319
 
8.8%
3 186
 
5.1%
4 116
 
3.2%
5 83
 
2.3%
6 66
 
1.8%
7 45
 
1.2%
8 40
 
1.1%
9 31
 
0.9%
ValueCountFrequency (%)
230 1
< 0.1%
215 1
< 0.1%
206 1
< 0.1%
201 1
< 0.1%
196 1
< 0.1%
193 1
< 0.1%
186 2
0.1%
185 1
< 0.1%
177 1
< 0.1%
163 2
0.1%

20세여자
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2928314
Minimum0
Maximum353
Zeros1406
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:04.292189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile37.4
Maximum353
Range353
Interquartile range (IQR)5

Descriptive statistics

Standard deviation25.841433
Coefficient of variation (CV)3.116117
Kurtosis61.450659
Mean8.2928314
Median Absolute Deviation (MAD)1
Skewness6.940636
Sum29962
Variance667.77967
MonotonicityNot monotonic
2024-04-06T17:21:04.668369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1406
38.9%
1 560
 
15.5%
2 322
 
8.9%
3 210
 
5.8%
4 151
 
4.2%
5 107
 
3.0%
6 87
 
2.4%
7 64
 
1.8%
9 59
 
1.6%
8 53
 
1.5%
Other values (122) 594
16.4%
ValueCountFrequency (%)
0 1406
38.9%
1 560
 
15.5%
2 322
 
8.9%
3 210
 
5.8%
4 151
 
4.2%
5 107
 
3.0%
6 87
 
2.4%
7 64
 
1.8%
8 53
 
1.5%
9 59
 
1.6%
ValueCountFrequency (%)
353 1
< 0.1%
343 1
< 0.1%
321 1
< 0.1%
302 1
< 0.1%
297 1
< 0.1%
296 1
< 0.1%
263 1
< 0.1%
260 1
< 0.1%
258 2
0.1%
234 1
< 0.1%

21세여자
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.497371
Minimum0
Maximum435
Zeros1201
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:05.397487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile50
Maximum435
Range435
Interquartile range (IQR)7

Descriptive statistics

Standard deviation29.756632
Coefficient of variation (CV)2.8346748
Kurtosis58.283874
Mean10.497371
Median Absolute Deviation (MAD)2
Skewness6.5977113
Sum37927
Variance885.45715
MonotonicityNot monotonic
2024-04-06T17:21:05.642996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1201
33.2%
1 483
13.4%
2 312
 
8.6%
3 219
 
6.1%
4 195
 
5.4%
6 127
 
3.5%
5 123
 
3.4%
7 97
 
2.7%
8 69
 
1.9%
10 50
 
1.4%
Other values (139) 737
20.4%
ValueCountFrequency (%)
0 1201
33.2%
1 483
13.4%
2 312
 
8.6%
3 219
 
6.1%
4 195
 
5.4%
5 123
 
3.4%
6 127
 
3.5%
7 97
 
2.7%
8 69
 
1.9%
9 47
 
1.3%
ValueCountFrequency (%)
435 1
< 0.1%
377 1
< 0.1%
367 1
< 0.1%
364 1
< 0.1%
356 1
< 0.1%
309 1
< 0.1%
307 1
< 0.1%
295 2
0.1%
280 1
< 0.1%
265 1
< 0.1%

22세여자
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.505397
Minimum0
Maximum552
Zeros930
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:05.990532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile65
Maximum552
Range552
Interquartile range (IQR)11

Descriptive statistics

Standard deviation33.603994
Coefficient of variation (CV)2.48819
Kurtosis60.332508
Mean13.505397
Median Absolute Deviation (MAD)3
Skewness6.3637266
Sum48795
Variance1129.2284
MonotonicityNot monotonic
2024-04-06T17:21:06.391306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 930
25.7%
1 476
13.2%
2 278
 
7.7%
3 220
 
6.1%
4 169
 
4.7%
5 135
 
3.7%
6 132
 
3.7%
7 103
 
2.9%
8 99
 
2.7%
11 78
 
2.2%
Other values (157) 993
27.5%
ValueCountFrequency (%)
0 930
25.7%
1 476
13.2%
2 278
 
7.7%
3 220
 
6.1%
4 169
 
4.7%
5 135
 
3.7%
6 132
 
3.7%
7 103
 
2.9%
8 99
 
2.7%
9 69
 
1.9%
ValueCountFrequency (%)
552 1
< 0.1%
510 1
< 0.1%
383 1
< 0.1%
374 1
< 0.1%
362 1
< 0.1%
353 1
< 0.1%
315 1
< 0.1%
311 1
< 0.1%
304 1
< 0.1%
297 1
< 0.1%

23세여자
Real number (ℝ)

ZEROS 

Distinct190
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.157487
Minimum0
Maximum620
Zeros746
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:06.737942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile83
Maximum620
Range620
Interquartile range (IQR)16

Descriptive statistics

Standard deviation39.577529
Coefficient of variation (CV)2.179681
Kurtosis50.702608
Mean18.157487
Median Absolute Deviation (MAD)5
Skewness5.6997499
Sum65603
Variance1566.3808
MonotonicityNot monotonic
2024-04-06T17:21:07.064465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 746
20.6%
1 408
 
11.3%
2 246
 
6.8%
3 183
 
5.1%
4 124
 
3.4%
5 123
 
3.4%
7 116
 
3.2%
8 114
 
3.2%
6 108
 
3.0%
9 87
 
2.4%
Other values (180) 1358
37.6%
ValueCountFrequency (%)
0 746
20.6%
1 408
11.3%
2 246
 
6.8%
3 183
 
5.1%
4 124
 
3.4%
5 123
 
3.4%
6 108
 
3.0%
7 116
 
3.2%
8 114
 
3.2%
9 87
 
2.4%
ValueCountFrequency (%)
620 1
< 0.1%
602 1
< 0.1%
479 1
< 0.1%
403 1
< 0.1%
378 1
< 0.1%
375 1
< 0.1%
326 1
< 0.1%
323 1
< 0.1%
322 1
< 0.1%
317 1
< 0.1%

24세여자
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.176585
Minimum0
Maximum604
Zeros648
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:07.324763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q321
95-th percentile95
Maximum604
Range604
Interquartile range (IQR)20

Descriptive statistics

Standard deviation42.415747
Coefficient of variation (CV)2.0029551
Kurtosis41.155361
Mean21.176585
Median Absolute Deviation (MAD)7
Skewness5.1147665
Sum76511
Variance1799.0956
MonotonicityNot monotonic
2024-04-06T17:21:07.664867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 648
17.9%
1 376
 
10.4%
2 236
 
6.5%
4 158
 
4.4%
3 156
 
4.3%
7 106
 
2.9%
5 100
 
2.8%
6 98
 
2.7%
10 97
 
2.7%
9 85
 
2.4%
Other values (191) 1553
43.0%
ValueCountFrequency (%)
0 648
17.9%
1 376
10.4%
2 236
 
6.5%
3 156
 
4.3%
4 158
 
4.4%
5 100
 
2.8%
6 98
 
2.7%
7 106
 
2.9%
8 85
 
2.4%
9 85
 
2.4%
ValueCountFrequency (%)
604 1
< 0.1%
594 1
< 0.1%
544 1
< 0.1%
453 1
< 0.1%
402 1
< 0.1%
370 1
< 0.1%
341 2
0.1%
329 1
< 0.1%
326 1
< 0.1%
311 1
< 0.1%

25세여자
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.796291
Minimum0
Maximum629
Zeros563
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:08.169641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q325
95-th percentile104
Maximum629
Range629
Interquartile range (IQR)24

Descriptive statistics

Standard deviation45.917074
Coefficient of variation (CV)1.9295895
Kurtosis39.429157
Mean23.796291
Median Absolute Deviation (MAD)8
Skewness5.0276909
Sum85976
Variance2108.3776
MonotonicityNot monotonic
2024-04-06T17:21:08.602309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563
 
15.6%
1 361
 
10.0%
2 219
 
6.1%
3 170
 
4.7%
4 129
 
3.6%
5 121
 
3.3%
6 94
 
2.6%
7 89
 
2.5%
8 88
 
2.4%
9 76
 
2.1%
Other values (203) 1703
47.1%
ValueCountFrequency (%)
0 563
15.6%
1 361
10.0%
2 219
 
6.1%
3 170
 
4.7%
4 129
 
3.6%
5 121
 
3.3%
6 94
 
2.6%
7 89
 
2.5%
8 88
 
2.4%
9 76
 
2.1%
ValueCountFrequency (%)
629 1
< 0.1%
604 1
< 0.1%
560 1
< 0.1%
554 1
< 0.1%
490 1
< 0.1%
427 1
< 0.1%
395 1
< 0.1%
373 1
< 0.1%
348 1
< 0.1%
321 1
< 0.1%

26세여자
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.857459
Minimum0
Maximum753
Zeros526
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:08.943390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q329
95-th percentile116.4
Maximum753
Range753
Interquartile range (IQR)27

Descriptive statistics

Standard deviation50.875681
Coefficient of variation (CV)1.8942849
Kurtosis38.364195
Mean26.857459
Median Absolute Deviation (MAD)9
Skewness4.970595
Sum97036
Variance2588.3349
MonotonicityNot monotonic
2024-04-06T17:21:09.271877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 526
 
14.6%
1 355
 
9.8%
2 205
 
5.7%
3 137
 
3.8%
4 120
 
3.3%
5 112
 
3.1%
7 88
 
2.4%
8 87
 
2.4%
11 82
 
2.3%
6 78
 
2.2%
Other values (217) 1823
50.5%
ValueCountFrequency (%)
0 526
14.6%
1 355
9.8%
2 205
 
5.7%
3 137
 
3.8%
4 120
 
3.3%
5 112
 
3.1%
6 78
 
2.2%
7 88
 
2.4%
8 87
 
2.4%
9 70
 
1.9%
ValueCountFrequency (%)
753 1
< 0.1%
592 1
< 0.1%
581 1
< 0.1%
553 1
< 0.1%
541 1
< 0.1%
496 1
< 0.1%
477 1
< 0.1%
433 1
< 0.1%
411 1
< 0.1%
395 1
< 0.1%

27세여자
Real number (ℝ)

ZEROS 

Distinct229
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.949073
Minimum0
Maximum665
Zeros489
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:09.603993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q332
95-th percentile112
Maximum665
Range665
Interquartile range (IQR)30

Descriptive statistics

Standard deviation51.441606
Coefficient of variation (CV)1.8405479
Kurtosis34.678028
Mean27.949073
Median Absolute Deviation (MAD)10
Skewness4.7952307
Sum100980
Variance2646.2388
MonotonicityNot monotonic
2024-04-06T17:21:09.916162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489
 
13.5%
1 351
 
9.7%
2 220
 
6.1%
4 123
 
3.4%
3 118
 
3.3%
5 101
 
2.8%
9 88
 
2.4%
6 88
 
2.4%
10 82
 
2.3%
8 78
 
2.2%
Other values (219) 1875
51.9%
ValueCountFrequency (%)
0 489
13.5%
1 351
9.7%
2 220
6.1%
3 118
 
3.3%
4 123
 
3.4%
5 101
 
2.8%
6 88
 
2.4%
7 58
 
1.6%
8 78
 
2.2%
9 88
 
2.4%
ValueCountFrequency (%)
665 1
< 0.1%
645 1
< 0.1%
607 1
< 0.1%
542 1
< 0.1%
501 1
< 0.1%
498 1
< 0.1%
432 1
< 0.1%
428 1
< 0.1%
426 1
< 0.1%
414 1
< 0.1%

28세여자
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.573761
Minimum0
Maximum596
Zeros464
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:10.252233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q333
95-th percentile112.4
Maximum596
Range596
Interquartile range (IQR)31

Descriptive statistics

Standard deviation49.932561
Coefficient of variation (CV)1.747497
Kurtosis28.93526
Mean28.573761
Median Absolute Deviation (MAD)11
Skewness4.395837
Sum103237
Variance2493.2607
MonotonicityNot monotonic
2024-04-06T17:21:10.566101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 464
 
12.8%
1 347
 
9.6%
2 223
 
6.2%
3 138
 
3.8%
5 95
 
2.6%
6 93
 
2.6%
4 88
 
2.4%
7 81
 
2.2%
12 73
 
2.0%
10 70
 
1.9%
Other values (217) 1941
53.7%
ValueCountFrequency (%)
0 464
12.8%
1 347
9.6%
2 223
6.2%
3 138
 
3.8%
4 88
 
2.4%
5 95
 
2.6%
6 93
 
2.6%
7 81
 
2.2%
8 62
 
1.7%
9 67
 
1.9%
ValueCountFrequency (%)
596 1
< 0.1%
588 1
< 0.1%
572 1
< 0.1%
500 1
< 0.1%
462 1
< 0.1%
451 1
< 0.1%
446 1
< 0.1%
413 1
< 0.1%
406 1
< 0.1%
391 1
< 0.1%

29세여자
Real number (ℝ)

ZEROS 

Distinct221
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.798782
Minimum0
Maximum643
Zeros473
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:10.917332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q333
95-th percentile112
Maximum643
Range643
Interquartile range (IQR)31

Descriptive statistics

Standard deviation47.870669
Coefficient of variation (CV)1.722042
Kurtosis31.428954
Mean27.798782
Median Absolute Deviation (MAD)11
Skewness4.4954712
Sum100437
Variance2291.601
MonotonicityNot monotonic
2024-04-06T17:21:11.235310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 473
 
13.1%
1 323
 
8.9%
2 229
 
6.3%
3 143
 
4.0%
4 118
 
3.3%
6 84
 
2.3%
5 82
 
2.3%
7 75
 
2.1%
12 72
 
2.0%
11 70
 
1.9%
Other values (211) 1944
53.8%
ValueCountFrequency (%)
0 473
13.1%
1 323
8.9%
2 229
6.3%
3 143
 
4.0%
4 118
 
3.3%
5 82
 
2.3%
6 84
 
2.3%
7 75
 
2.1%
8 67
 
1.9%
9 63
 
1.7%
ValueCountFrequency (%)
643 1
< 0.1%
577 1
< 0.1%
524 1
< 0.1%
457 1
< 0.1%
454 1
< 0.1%
437 1
< 0.1%
426 1
< 0.1%
406 1
< 0.1%
395 1
< 0.1%
391 1
< 0.1%

30세여자
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.180459
Minimum0
Maximum608
Zeros475
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:11.561745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q331
95-th percentile102
Maximum608
Range608
Interquartile range (IQR)29

Descriptive statistics

Standard deviation44.032771
Coefficient of variation (CV)1.6818945
Kurtosis31.624706
Mean26.180459
Median Absolute Deviation (MAD)11
Skewness4.447102
Sum94590
Variance1938.8849
MonotonicityNot monotonic
2024-04-06T17:21:11.876611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 475
 
13.1%
1 358
 
9.9%
2 203
 
5.6%
3 161
 
4.5%
4 101
 
2.8%
5 96
 
2.7%
7 88
 
2.4%
6 71
 
2.0%
19 69
 
1.9%
8 67
 
1.9%
Other values (197) 1924
53.3%
ValueCountFrequency (%)
0 475
13.1%
1 358
9.9%
2 203
5.6%
3 161
 
4.5%
4 101
 
2.8%
5 96
 
2.7%
6 71
 
2.0%
7 88
 
2.4%
8 67
 
1.9%
9 64
 
1.8%
ValueCountFrequency (%)
608 1
< 0.1%
519 1
< 0.1%
496 1
< 0.1%
482 1
< 0.1%
434 1
< 0.1%
361 1
< 0.1%
353 1
< 0.1%
351 1
< 0.1%
345 1
< 0.1%
339 1
< 0.1%

31세여자
Real number (ℝ)

ZEROS 

Distinct199
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.939662
Minimum0
Maximum479
Zeros473
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:12.296605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q331
95-th percentile95
Maximum479
Range479
Interquartile range (IQR)29

Descriptive statistics

Standard deviation40.211356
Coefficient of variation (CV)1.6123457
Kurtosis23.975231
Mean24.939662
Median Absolute Deviation (MAD)10
Skewness3.9721133
Sum90107
Variance1616.9532
MonotonicityNot monotonic
2024-04-06T17:21:12.619255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 473
 
13.1%
1 356
 
9.9%
2 210
 
5.8%
3 142
 
3.9%
4 117
 
3.2%
6 101
 
2.8%
5 86
 
2.4%
7 74
 
2.0%
11 68
 
1.9%
19 66
 
1.8%
Other values (189) 1920
53.1%
ValueCountFrequency (%)
0 473
13.1%
1 356
9.9%
2 210
5.8%
3 142
 
3.9%
4 117
 
3.2%
5 86
 
2.4%
6 101
 
2.8%
7 74
 
2.0%
8 66
 
1.8%
9 63
 
1.7%
ValueCountFrequency (%)
479 1
< 0.1%
435 1
< 0.1%
415 1
< 0.1%
405 1
< 0.1%
382 1
< 0.1%
338 1
< 0.1%
328 1
< 0.1%
313 1
< 0.1%
309 1
< 0.1%
290 1
< 0.1%

32세여자
Real number (ℝ)

ZEROS 

Distinct181
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.209244
Minimum0
Maximum455
Zeros513
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:12.910319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q328
95-th percentile82
Maximum455
Range455
Interquartile range (IQR)26

Descriptive statistics

Standard deviation35.230124
Coefficient of variation (CV)1.586282
Kurtosis27.746531
Mean22.209244
Median Absolute Deviation (MAD)9
Skewness4.1430854
Sum80242
Variance1241.1616
MonotonicityNot monotonic
2024-04-06T17:21:13.202017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 513
 
14.2%
1 359
 
9.9%
2 220
 
6.1%
3 144
 
4.0%
4 104
 
2.9%
5 92
 
2.5%
9 89
 
2.5%
6 80
 
2.2%
8 76
 
2.1%
10 70
 
1.9%
Other values (171) 1866
51.6%
ValueCountFrequency (%)
0 513
14.2%
1 359
9.9%
2 220
6.1%
3 144
 
4.0%
4 104
 
2.9%
5 92
 
2.5%
6 80
 
2.2%
7 66
 
1.8%
8 76
 
2.1%
9 89
 
2.5%
ValueCountFrequency (%)
455 1
< 0.1%
410 1
< 0.1%
405 1
< 0.1%
356 1
< 0.1%
320 1
< 0.1%
313 1
< 0.1%
278 2
0.1%
274 1
< 0.1%
266 1
< 0.1%
261 2
0.1%

33세여자
Real number (ℝ)

ZEROS 

Distinct154
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.443122
Minimum0
Maximum348
Zeros514
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:14.066868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q324
95-th percentile70.4
Maximum348
Range348
Interquartile range (IQR)23

Descriptive statistics

Standard deviation28.521521
Coefficient of variation (CV)1.5464584
Kurtosis24.468878
Mean18.443122
Median Absolute Deviation (MAD)8
Skewness3.9168423
Sum66635
Variance813.47718
MonotonicityNot monotonic
2024-04-06T17:21:14.524215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 514
 
14.2%
1 404
 
11.2%
2 223
 
6.2%
3 141
 
3.9%
4 115
 
3.2%
5 105
 
2.9%
6 97
 
2.7%
7 92
 
2.5%
9 84
 
2.3%
8 83
 
2.3%
Other values (144) 1755
48.6%
ValueCountFrequency (%)
0 514
14.2%
1 404
11.2%
2 223
6.2%
3 141
 
3.9%
4 115
 
3.2%
5 105
 
2.9%
6 97
 
2.7%
7 92
 
2.5%
8 83
 
2.3%
9 84
 
2.3%
ValueCountFrequency (%)
348 1
< 0.1%
337 1
< 0.1%
286 1
< 0.1%
283 1
< 0.1%
266 1
< 0.1%
234 1
< 0.1%
231 1
< 0.1%
230 1
< 0.1%
221 1
< 0.1%
219 2
0.1%

34세여자
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.30584
Minimum0
Maximum308
Zeros561
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:14.824054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q321
95-th percentile60
Maximum308
Range308
Interquartile range (IQR)20

Descriptive statistics

Standard deviation24.409034
Coefficient of variation (CV)1.4969504
Kurtosis21.793222
Mean16.30584
Median Absolute Deviation (MAD)7
Skewness3.6720817
Sum58913
Variance595.80095
MonotonicityNot monotonic
2024-04-06T17:21:15.152596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 561
 
15.5%
1 386
 
10.7%
2 216
 
6.0%
3 162
 
4.5%
4 131
 
3.6%
7 114
 
3.2%
5 110
 
3.0%
6 91
 
2.5%
8 85
 
2.4%
12 83
 
2.3%
Other values (130) 1674
46.3%
ValueCountFrequency (%)
0 561
15.5%
1 386
10.7%
2 216
 
6.0%
3 162
 
4.5%
4 131
 
3.6%
5 110
 
3.0%
6 91
 
2.5%
7 114
 
3.2%
8 85
 
2.4%
9 79
 
2.2%
ValueCountFrequency (%)
308 1
< 0.1%
264 1
< 0.1%
247 1
< 0.1%
239 1
< 0.1%
198 1
< 0.1%
194 1
< 0.1%
186 1
< 0.1%
183 1
< 0.1%
182 1
< 0.1%
168 1
< 0.1%

35세여자
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.612787
Minimum0
Maximum280
Zeros556
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:15.435894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q319
95-th percentile54
Maximum280
Range280
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.236756
Coefficient of variation (CV)1.4532995
Kurtosis19.843078
Mean14.612787
Median Absolute Deviation (MAD)7
Skewness3.4681223
Sum52796
Variance450.9998
MonotonicityNot monotonic
2024-04-06T17:21:15.746968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556
 
15.4%
1 398
 
11.0%
2 244
 
6.8%
3 155
 
4.3%
4 128
 
3.5%
5 125
 
3.5%
6 124
 
3.4%
8 101
 
2.8%
12 100
 
2.8%
11 89
 
2.5%
Other values (115) 1593
44.1%
ValueCountFrequency (%)
0 556
15.4%
1 398
11.0%
2 244
6.8%
3 155
 
4.3%
4 128
 
3.5%
5 125
 
3.5%
6 124
 
3.4%
7 83
 
2.3%
8 101
 
2.8%
9 87
 
2.4%
ValueCountFrequency (%)
280 1
< 0.1%
215 1
< 0.1%
187 1
< 0.1%
180 1
< 0.1%
177 1
< 0.1%
172 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%
151 1
< 0.1%
148 2
0.1%

36세여자
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.360089
Minimum0
Maximum251
Zeros580
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:16.071289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q318
95-th percentile48
Maximum251
Range251
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.153635
Coefficient of variation (CV)1.4336458
Kurtosis19.576536
Mean13.360089
Median Absolute Deviation (MAD)6
Skewness3.4464253
Sum48270
Variance366.86172
MonotonicityNot monotonic
2024-04-06T17:21:16.438197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 580
 
16.1%
1 393
 
10.9%
2 223
 
6.2%
3 171
 
4.7%
4 136
 
3.8%
5 136
 
3.8%
6 112
 
3.1%
7 109
 
3.0%
8 106
 
2.9%
9 103
 
2.9%
Other values (108) 1544
42.7%
ValueCountFrequency (%)
0 580
16.1%
1 393
10.9%
2 223
 
6.2%
3 171
 
4.7%
4 136
 
3.8%
5 136
 
3.8%
6 112
 
3.1%
7 109
 
3.0%
8 106
 
2.9%
9 103
 
2.9%
ValueCountFrequency (%)
251 1
< 0.1%
199 1
< 0.1%
177 1
< 0.1%
163 1
< 0.1%
146 1
< 0.1%
144 1
< 0.1%
141 1
< 0.1%
139 1
< 0.1%
137 1
< 0.1%
135 1
< 0.1%

37세여자
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.589538
Minimum0
Maximum241
Zeros563
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:16.726520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q317
95-th percentile44
Maximum241
Range241
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.660311
Coefficient of variation (CV)1.4027767
Kurtosis19.063614
Mean12.589538
Median Absolute Deviation (MAD)6
Skewness3.34608
Sum45486
Variance311.88657
MonotonicityNot monotonic
2024-04-06T17:21:17.058995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563
 
15.6%
1 360
 
10.0%
2 277
 
7.7%
3 183
 
5.1%
4 151
 
4.2%
5 129
 
3.6%
8 123
 
3.4%
7 117
 
3.2%
6 114
 
3.2%
9 104
 
2.9%
Other values (101) 1492
41.3%
ValueCountFrequency (%)
0 563
15.6%
1 360
10.0%
2 277
7.7%
3 183
 
5.1%
4 151
 
4.2%
5 129
 
3.6%
6 114
 
3.2%
7 117
 
3.2%
8 123
 
3.4%
9 104
 
2.9%
ValueCountFrequency (%)
241 1
< 0.1%
161 1
< 0.1%
155 1
< 0.1%
152 1
< 0.1%
147 1
< 0.1%
140 1
< 0.1%
124 2
0.1%
122 1
< 0.1%
120 1
< 0.1%
118 1
< 0.1%

38세여자
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.113202
Minimum0
Maximum250
Zeros550
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:17.380935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q317
95-th percentile43
Maximum250
Range250
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16.502766
Coefficient of variation (CV)1.3623784
Kurtosis21.616445
Mean12.113202
Median Absolute Deviation (MAD)6
Skewness3.3448336
Sum43765
Variance272.34128
MonotonicityNot monotonic
2024-04-06T17:21:17.690705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 550
 
15.2%
1 396
 
11.0%
2 280
 
7.7%
3 191
 
5.3%
4 141
 
3.9%
6 135
 
3.7%
10 130
 
3.6%
5 119
 
3.3%
8 104
 
2.9%
7 99
 
2.7%
Other values (96) 1468
40.6%
ValueCountFrequency (%)
0 550
15.2%
1 396
11.0%
2 280
7.7%
3 191
 
5.3%
4 141
 
3.9%
5 119
 
3.3%
6 135
 
3.7%
7 99
 
2.7%
8 104
 
2.9%
9 87
 
2.4%
ValueCountFrequency (%)
250 1
< 0.1%
148 1
< 0.1%
145 1
< 0.1%
135 1
< 0.1%
128 1
< 0.1%
121 1
< 0.1%
116 1
< 0.1%
112 1
< 0.1%
107 1
< 0.1%
106 2
0.1%

39세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.662607
Minimum0
Maximum215
Zeros522
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:18.014462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q316
95-th percentile40
Maximum215
Range215
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.139182
Coefficient of variation (CV)1.2980958
Kurtosis17.720416
Mean11.662607
Median Absolute Deviation (MAD)6
Skewness3.0839342
Sum42137
Variance229.19483
MonotonicityNot monotonic
2024-04-06T17:21:18.310873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 522
 
14.4%
1 384
 
10.6%
2 288
 
8.0%
3 182
 
5.0%
4 138
 
3.8%
9 131
 
3.6%
5 122
 
3.4%
7 119
 
3.3%
6 118
 
3.3%
8 114
 
3.2%
Other values (86) 1495
41.4%
ValueCountFrequency (%)
0 522
14.4%
1 384
10.6%
2 288
8.0%
3 182
 
5.0%
4 138
 
3.8%
5 122
 
3.4%
6 118
 
3.3%
7 119
 
3.3%
8 114
 
3.2%
9 131
 
3.6%
ValueCountFrequency (%)
215 1
< 0.1%
130 1
< 0.1%
118 2
0.1%
117 1
< 0.1%
111 1
< 0.1%
107 1
< 0.1%
103 1
< 0.1%
99 1
< 0.1%
98 1
< 0.1%
97 2
0.1%

40세여자
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.550512
Minimum0
Maximum226
Zeros457
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:18.612166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q317
95-th percentile43
Maximum226
Range226
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.779331
Coefficient of variation (CV)1.2572659
Kurtosis17.459081
Mean12.550512
Median Absolute Deviation (MAD)6
Skewness2.9547866
Sum45345
Variance248.98727
MonotonicityNot monotonic
2024-04-06T17:21:18.979719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 457
 
12.6%
1 383
 
10.6%
2 283
 
7.8%
3 179
 
5.0%
5 147
 
4.1%
4 143
 
4.0%
7 116
 
3.2%
9 113
 
3.1%
6 113
 
3.1%
10 98
 
2.7%
Other values (85) 1581
43.8%
ValueCountFrequency (%)
0 457
12.6%
1 383
10.6%
2 283
7.8%
3 179
 
5.0%
4 143
 
4.0%
5 147
 
4.1%
6 113
 
3.1%
7 116
 
3.2%
8 96
 
2.7%
9 113
 
3.1%
ValueCountFrequency (%)
226 1
< 0.1%
150 1
< 0.1%
140 1
< 0.1%
131 1
< 0.1%
118 1
< 0.1%
111 1
< 0.1%
105 1
< 0.1%
103 1
< 0.1%
96 1
< 0.1%
94 1
< 0.1%

41세여자
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.335179
Minimum0
Maximum200
Zeros422
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:19.354527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q319
95-th percentile43
Maximum200
Range200
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.103203
Coefficient of variation (CV)1.2075731
Kurtosis11.812475
Mean13.335179
Median Absolute Deviation (MAD)7
Skewness2.5711675
Sum48180
Variance259.31315
MonotonicityNot monotonic
2024-04-06T17:21:19.763609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422
 
11.7%
1 371
 
10.3%
2 269
 
7.4%
3 177
 
4.9%
4 144
 
4.0%
5 132
 
3.7%
7 113
 
3.1%
6 112
 
3.1%
8 103
 
2.9%
10 103
 
2.9%
Other values (88) 1667
46.1%
ValueCountFrequency (%)
0 422
11.7%
1 371
10.3%
2 269
7.4%
3 177
4.9%
4 144
 
4.0%
5 132
 
3.7%
6 112
 
3.1%
7 113
 
3.1%
8 103
 
2.9%
9 97
 
2.7%
ValueCountFrequency (%)
200 1
< 0.1%
130 1
< 0.1%
126 1
< 0.1%
123 1
< 0.1%
115 1
< 0.1%
113 1
< 0.1%
112 1
< 0.1%
111 1
< 0.1%
105 1
< 0.1%
101 1
< 0.1%

42세여자
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.515915
Minimum0
Maximum209
Zeros389
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:20.062530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q320
95-th percentile44
Maximum209
Range209
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.000868
Coefficient of variation (CV)1.1838539
Kurtosis12.327272
Mean13.515915
Median Absolute Deviation (MAD)8
Skewness2.5587877
Sum48833
Variance256.02778
MonotonicityNot monotonic
2024-04-06T17:21:20.449455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 404
 
11.2%
0 389
 
10.8%
2 234
 
6.5%
3 183
 
5.1%
4 143
 
4.0%
6 122
 
3.4%
9 116
 
3.2%
5 110
 
3.0%
8 108
 
3.0%
7 107
 
3.0%
Other values (87) 1697
47.0%
ValueCountFrequency (%)
0 389
10.8%
1 404
11.2%
2 234
6.5%
3 183
5.1%
4 143
 
4.0%
5 110
 
3.0%
6 122
 
3.4%
7 107
 
3.0%
8 108
 
3.0%
9 116
 
3.2%
ValueCountFrequency (%)
209 1
< 0.1%
122 1
< 0.1%
116 1
< 0.1%
113 1
< 0.1%
112 2
0.1%
110 1
< 0.1%
108 1
< 0.1%
102 1
< 0.1%
97 1
< 0.1%
95 1
< 0.1%

43세여자
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.853584
Minimum0
Maximum204
Zeros382
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:20.733604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q319
95-th percentile40
Maximum204
Range204
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.8145
Coefficient of variation (CV)1.1525579
Kurtosis12.840732
Mean12.853584
Median Absolute Deviation (MAD)7
Skewness2.4838682
Sum46440
Variance219.46942
MonotonicityNot monotonic
2024-04-06T17:21:21.084720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 386
 
10.7%
0 382
 
10.6%
2 268
 
7.4%
3 194
 
5.4%
5 147
 
4.1%
4 124
 
3.4%
8 117
 
3.2%
7 112
 
3.1%
6 108
 
3.0%
14 105
 
2.9%
Other values (75) 1670
46.2%
ValueCountFrequency (%)
0 382
10.6%
1 386
10.7%
2 268
7.4%
3 194
5.4%
4 124
 
3.4%
5 147
 
4.1%
6 108
 
3.0%
7 112
 
3.1%
8 117
 
3.2%
9 101
 
2.8%
ValueCountFrequency (%)
204 1
 
< 0.1%
119 1
 
< 0.1%
115 1
 
< 0.1%
103 1
 
< 0.1%
98 1
 
< 0.1%
94 3
0.1%
89 1
 
< 0.1%
88 2
0.1%
83 3
0.1%
81 1
 
< 0.1%

44세여자
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.701079
Minimum0
Maximum161
Zeros397
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:21.385570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q319
95-th percentile40
Maximum161
Range161
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.153106
Coefficient of variation (CV)1.1143231
Kurtosis9.0155591
Mean12.701079
Median Absolute Deviation (MAD)7
Skewness2.2247901
Sum45889
Variance200.3104
MonotonicityNot monotonic
2024-04-06T17:21:21.712539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
11.0%
1 360
 
10.0%
2 242
 
6.7%
3 183
 
5.1%
4 154
 
4.3%
5 139
 
3.8%
6 117
 
3.2%
8 116
 
3.2%
9 108
 
3.0%
14 106
 
2.9%
Other values (77) 1691
46.8%
ValueCountFrequency (%)
0 397
11.0%
1 360
10.0%
2 242
6.7%
3 183
5.1%
4 154
 
4.3%
5 139
 
3.8%
6 117
 
3.2%
7 104
 
2.9%
8 116
 
3.2%
9 108
 
3.0%
ValueCountFrequency (%)
161 1
< 0.1%
127 1
< 0.1%
106 1
< 0.1%
105 1
< 0.1%
104 1
< 0.1%
91 1
< 0.1%
90 2
0.1%
87 2
0.1%
86 1
< 0.1%
83 1
< 0.1%

45세여자
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.452256
Minimum0
Maximum132
Zeros411
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:22.086814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q317
95-th percentile36
Maximum132
Range132
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.538258
Coefficient of variation (CV)1.0948287
Kurtosis6.7258839
Mean11.452256
Median Absolute Deviation (MAD)7
Skewness1.989408
Sum41377
Variance157.20792
MonotonicityNot monotonic
2024-04-06T17:21:22.368888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411
 
11.4%
1 356
 
9.9%
2 277
 
7.7%
3 203
 
5.6%
4 188
 
5.2%
7 127
 
3.5%
5 121
 
3.3%
10 121
 
3.3%
6 114
 
3.2%
8 112
 
3.1%
Other values (68) 1583
43.8%
ValueCountFrequency (%)
0 411
11.4%
1 356
9.9%
2 277
7.7%
3 203
5.6%
4 188
5.2%
5 121
 
3.3%
6 114
 
3.2%
7 127
 
3.5%
8 112
 
3.1%
9 98
 
2.7%
ValueCountFrequency (%)
132 1
< 0.1%
102 1
< 0.1%
93 1
< 0.1%
83 1
< 0.1%
82 2
0.1%
80 1
< 0.1%
78 1
< 0.1%
73 2
0.1%
72 1
< 0.1%
70 2
0.1%

46세여자
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.90119
Minimum0
Maximum137
Zeros341
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:23.134302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q317
95-th percentile36
Maximum137
Range137
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.517205
Coefficient of variation (CV)1.0517608
Kurtosis6.957506
Mean11.90119
Median Absolute Deviation (MAD)7
Skewness1.9644342
Sum42999
Variance156.68043
MonotonicityNot monotonic
2024-04-06T17:21:23.401315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 341
 
9.4%
1 340
 
9.4%
2 258
 
7.1%
3 199
 
5.5%
4 183
 
5.1%
5 156
 
4.3%
8 119
 
3.3%
7 117
 
3.2%
6 117
 
3.2%
10 114
 
3.2%
Other values (68) 1669
46.2%
ValueCountFrequency (%)
0 341
9.4%
1 340
9.4%
2 258
7.1%
3 199
5.5%
4 183
5.1%
5 156
4.3%
6 117
 
3.2%
7 117
 
3.2%
8 119
 
3.3%
9 112
 
3.1%
ValueCountFrequency (%)
137 1
< 0.1%
105 1
< 0.1%
97 1
< 0.1%
86 1
< 0.1%
80 1
< 0.1%
78 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 2
0.1%
73 1
< 0.1%

47세여자
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.634376
Minimum0
Maximum112
Zeros332
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:23.684152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q317
95-th percentile35
Maximum112
Range112
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.102117
Coefficient of variation (CV)1.0402034
Kurtosis5.5202872
Mean11.634376
Median Absolute Deviation (MAD)7
Skewness1.8555966
Sum42035
Variance146.46124
MonotonicityNot monotonic
2024-04-06T17:21:23.958201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 351
 
9.7%
0 332
 
9.2%
2 276
 
7.6%
3 197
 
5.5%
4 170
 
4.7%
5 140
 
3.9%
6 137
 
3.8%
7 128
 
3.5%
9 123
 
3.4%
8 122
 
3.4%
Other values (64) 1637
45.3%
ValueCountFrequency (%)
0 332
9.2%
1 351
9.7%
2 276
7.6%
3 197
5.5%
4 170
4.7%
5 140
 
3.9%
6 137
 
3.8%
7 128
 
3.5%
8 122
 
3.4%
9 123
 
3.4%
ValueCountFrequency (%)
112 1
< 0.1%
92 1
< 0.1%
86 1
< 0.1%
82 1
< 0.1%
79 1
< 0.1%
78 2
0.1%
77 2
0.1%
75 1
< 0.1%
74 1
< 0.1%
72 1
< 0.1%

48세여자
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.549128
Minimum0
Maximum100
Zeros280
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:24.299662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q319
95-th percentile37.4
Maximum100
Range100
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.691529
Coefficient of variation (CV)1.0113474
Kurtosis4.3580985
Mean12.549128
Median Absolute Deviation (MAD)7
Skewness1.720976
Sum45340
Variance161.0749
MonotonicityNot monotonic
2024-04-06T17:21:24.742737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 293
 
8.1%
2 283
 
7.8%
0 280
 
7.7%
3 211
 
5.8%
4 179
 
5.0%
5 138
 
3.8%
6 133
 
3.7%
8 132
 
3.7%
7 128
 
3.5%
11 121
 
3.3%
Other values (67) 1715
47.5%
ValueCountFrequency (%)
0 280
7.7%
1 293
8.1%
2 283
7.8%
3 211
5.8%
4 179
5.0%
5 138
3.8%
6 133
3.7%
7 128
3.5%
8 132
3.7%
9 87
 
2.4%
ValueCountFrequency (%)
100 1
< 0.1%
94 1
< 0.1%
90 1
< 0.1%
89 1
< 0.1%
87 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%

49세여자
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.605037
Minimum0
Maximum93
Zeros218
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:25.117819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile40
Maximum93
Range93
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.458021
Coefficient of variation (CV)0.98919396
Kurtosis3.8281126
Mean13.605037
Median Absolute Deviation (MAD)8
Skewness1.635984
Sum49155
Variance181.11832
MonotonicityNot monotonic
2024-04-06T17:21:25.531394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 314
 
8.7%
2 279
 
7.7%
0 218
 
6.0%
3 186
 
5.1%
4 169
 
4.7%
6 147
 
4.1%
5 138
 
3.8%
9 119
 
3.3%
15 112
 
3.1%
8 106
 
2.9%
Other values (71) 1825
50.5%
ValueCountFrequency (%)
0 218
6.0%
1 314
8.7%
2 279
7.7%
3 186
5.1%
4 169
4.7%
5 138
3.8%
6 147
4.1%
7 104
 
2.9%
8 106
 
2.9%
9 119
 
3.3%
ValueCountFrequency (%)
93 2
0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%
88 1
 
< 0.1%
85 1
 
< 0.1%
84 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
78 3
0.1%

50세여자
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.011625
Minimum0
Maximum126
Zeros198
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:25.916837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q322
95-th percentile43
Maximum126
Range126
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.339341
Coefficient of variation (CV)0.95521579
Kurtosis3.5529586
Mean15.011625
Median Absolute Deviation (MAD)8
Skewness1.5446243
Sum54237
Variance205.6167
MonotonicityNot monotonic
2024-04-06T17:21:26.382838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 241
 
6.7%
2 233
 
6.4%
3 207
 
5.7%
0 198
 
5.5%
4 179
 
5.0%
5 140
 
3.9%
6 139
 
3.8%
7 121
 
3.3%
9 110
 
3.0%
10 96
 
2.7%
Other values (74) 1949
53.9%
ValueCountFrequency (%)
0 198
5.5%
1 241
6.7%
2 233
6.4%
3 207
5.7%
4 179
5.0%
5 140
3.9%
6 139
3.8%
7 121
3.3%
8 89
 
2.5%
9 110
3.0%
ValueCountFrequency (%)
126 1
< 0.1%
99 1
< 0.1%
95 1
< 0.1%
91 1
< 0.1%
90 1
< 0.1%
89 1
< 0.1%
83 2
0.1%
82 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%

51세여자
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.481041
Minimum0
Maximum104
Zeros145
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:26.895285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median12
Q323
95-th percentile43
Maximum104
Range104
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.495674
Coefficient of variation (CV)0.93635011
Kurtosis3.4509938
Mean15.481041
Median Absolute Deviation (MAD)9
Skewness1.5484898
Sum55933
Variance210.12457
MonotonicityNot monotonic
2024-04-06T17:21:27.272683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 256
 
7.1%
2 234
 
6.5%
4 184
 
5.1%
3 182
 
5.0%
5 156
 
4.3%
0 145
 
4.0%
8 114
 
3.2%
13 106
 
2.9%
15 106
 
2.9%
7 105
 
2.9%
Other values (77) 2025
56.0%
ValueCountFrequency (%)
0 145
4.0%
1 256
7.1%
2 234
6.5%
3 182
5.0%
4 184
5.1%
5 156
4.3%
6 103
2.9%
7 105
2.9%
8 114
3.2%
9 104
2.9%
ValueCountFrequency (%)
104 1
< 0.1%
97 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%
91 1
< 0.1%
86 2
0.1%
85 1
< 0.1%
84 1
< 0.1%

52세여자
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.499308
Minimum0
Maximum120
Zeros139
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:27.691474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median13
Q324
95-th percentile45
Maximum120
Range120
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.23641
Coefficient of variation (CV)0.92345751
Kurtosis3.8809523
Mean16.499308
Median Absolute Deviation (MAD)9
Skewness1.5762966
Sum59612
Variance232.14819
MonotonicityNot monotonic
2024-04-06T17:21:28.085072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 215
 
6.0%
3 214
 
5.9%
1 210
 
5.8%
4 157
 
4.3%
5 140
 
3.9%
0 139
 
3.8%
6 119
 
3.3%
10 109
 
3.0%
12 107
 
3.0%
14 102
 
2.8%
Other values (77) 2101
58.2%
ValueCountFrequency (%)
0 139
3.8%
1 210
5.8%
2 215
6.0%
3 214
5.9%
4 157
4.3%
5 140
3.9%
6 119
3.3%
7 86
 
2.4%
8 95
2.6%
9 94
2.6%
ValueCountFrequency (%)
120 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
97 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%
90 2
0.1%
88 2
0.1%
87 2
0.1%
86 1
< 0.1%

53세여자
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.339884
Minimum0
Maximum116
Zeros91
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:28.378744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median14
Q325
95-th percentile47
Maximum116
Range116
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.518615
Coefficient of variation (CV)0.8949665
Kurtosis2.8092381
Mean17.339884
Median Absolute Deviation (MAD)10
Skewness1.4197114
Sum62649
Variance240.82741
MonotonicityNot monotonic
2024-04-06T17:21:28.671948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 221
 
6.1%
3 193
 
5.3%
1 180
 
5.0%
4 170
 
4.7%
5 154
 
4.3%
7 126
 
3.5%
6 120
 
3.3%
14 103
 
2.9%
10 102
 
2.8%
16 95
 
2.6%
Other values (82) 2149
59.5%
ValueCountFrequency (%)
0 91
2.5%
1 180
5.0%
2 221
6.1%
3 193
5.3%
4 170
4.7%
5 154
4.3%
6 120
3.3%
7 126
3.5%
8 93
2.6%
9 87
 
2.4%
ValueCountFrequency (%)
116 1
< 0.1%
115 1
< 0.1%
101 1
< 0.1%
100 1
< 0.1%
99 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%
88 1
< 0.1%
85 2
0.1%
82 1
< 0.1%

54세여자
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.676723
Minimum0
Maximum125
Zeros77
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:29.045058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median14
Q325
95-th percentile47.4
Maximum125
Range125
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.638358
Coefficient of variation (CV)0.88468651
Kurtosis3.8453379
Mean17.676723
Median Absolute Deviation (MAD)9
Skewness1.5620007
Sum63866
Variance244.55825
MonotonicityNot monotonic
2024-04-06T17:21:29.497612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 189
 
5.2%
2 184
 
5.1%
5 179
 
5.0%
4 177
 
4.9%
6 140
 
3.9%
1 128
 
3.5%
7 117
 
3.2%
8 117
 
3.2%
9 112
 
3.1%
18 98
 
2.7%
Other values (82) 2172
60.1%
ValueCountFrequency (%)
0 77
2.1%
1 128
3.5%
2 184
5.1%
3 189
5.2%
4 177
4.9%
5 179
5.0%
6 140
3.9%
7 117
3.2%
8 117
3.2%
9 112
3.1%
ValueCountFrequency (%)
125 1
< 0.1%
122 2
0.1%
110 1
< 0.1%
105 1
< 0.1%
99 1
< 0.1%
94 1
< 0.1%
92 2
0.1%
91 1
< 0.1%
89 1
< 0.1%
87 2
0.1%

55세여자
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.053695
Minimum0
Maximum124
Zeros63
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:29.778647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median15
Q327
95-th percentile50
Maximum124
Range124
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.534936
Coefficient of variation (CV)0.8678073
Kurtosis3.6134656
Mean19.053695
Median Absolute Deviation (MAD)10
Skewness1.5432674
Sum68841
Variance273.40409
MonotonicityNot monotonic
2024-04-06T17:21:30.062576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 173
 
4.8%
2 159
 
4.4%
5 154
 
4.3%
4 154
 
4.3%
6 139
 
3.8%
7 136
 
3.8%
8 126
 
3.5%
10 114
 
3.2%
1 105
 
2.9%
9 103
 
2.9%
Other values (91) 2250
62.3%
ValueCountFrequency (%)
0 63
 
1.7%
1 105
2.9%
2 159
4.4%
3 173
4.8%
4 154
4.3%
5 154
4.3%
6 139
3.8%
7 136
3.8%
8 126
3.5%
9 103
2.9%
ValueCountFrequency (%)
124 1
< 0.1%
122 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
105 1
< 0.1%
98 1
< 0.1%
97 1
< 0.1%
96 1
< 0.1%

56세여자
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.56103
Minimum0
Maximum131
Zeros59
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:30.326118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median15
Q327
95-th percentile49
Maximum131
Range131
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.706946
Coefficient of variation (CV)0.84623245
Kurtosis3.0382555
Mean18.56103
Median Absolute Deviation (MAD)10
Skewness1.432408
Sum67061
Variance246.70814
MonotonicityNot monotonic
2024-04-06T17:21:30.679803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 187
 
5.2%
4 171
 
4.7%
5 151
 
4.2%
2 147
 
4.1%
6 136
 
3.8%
7 124
 
3.4%
9 118
 
3.3%
11 117
 
3.2%
8 114
 
3.2%
13 104
 
2.9%
Other values (83) 2244
62.1%
ValueCountFrequency (%)
0 59
 
1.6%
1 95
2.6%
2 147
4.1%
3 187
5.2%
4 171
4.7%
5 151
4.2%
6 136
3.8%
7 124
3.4%
8 114
3.2%
9 118
3.3%
ValueCountFrequency (%)
131 1
< 0.1%
119 1
< 0.1%
106 1
< 0.1%
97 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%
91 1
< 0.1%
89 1
< 0.1%
88 1
< 0.1%
87 1
< 0.1%

57세여자
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.685026
Minimum0
Maximum132
Zeros52
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:30.976987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median15
Q326
95-th percentile49
Maximum132
Range132
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.83539
Coefficient of variation (CV)0.8474909
Kurtosis3.7348142
Mean18.685026
Median Absolute Deviation (MAD)9
Skewness1.5591158
Sum67509
Variance250.75957
MonotonicityNot monotonic
2024-04-06T17:21:31.294901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 168
 
4.6%
3 159
 
4.4%
4 158
 
4.4%
6 146
 
4.0%
2 130
 
3.6%
9 128
 
3.5%
8 128
 
3.5%
7 125
 
3.5%
12 108
 
3.0%
10 102
 
2.8%
Other values (84) 2261
62.6%
ValueCountFrequency (%)
0 52
 
1.4%
1 99
2.7%
2 130
3.6%
3 159
4.4%
4 158
4.4%
5 168
4.6%
6 146
4.0%
7 125
3.5%
8 128
3.5%
9 128
3.5%
ValueCountFrequency (%)
132 1
 
< 0.1%
120 1
 
< 0.1%
112 1
 
< 0.1%
105 1
 
< 0.1%
104 1
 
< 0.1%
100 1
 
< 0.1%
93 3
0.1%
88 1
 
< 0.1%
87 1
 
< 0.1%
86 3
0.1%

58세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.488514
Minimum0
Maximum135
Zeros42
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:31.687025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median17
Q329
95-th percentile52
Maximum135
Range135
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.017683
Coefficient of variation (CV)0.83059628
Kurtosis3.099981
Mean20.488514
Median Absolute Deviation (MAD)11
Skewness1.4569035
Sum74025
Variance289.60154
MonotonicityNot monotonic
2024-04-06T17:21:31.981017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 181
 
5.0%
4 147
 
4.1%
6 138
 
3.8%
3 135
 
3.7%
8 122
 
3.4%
9 119
 
3.3%
7 118
 
3.3%
2 116
 
3.2%
11 96
 
2.7%
10 94
 
2.6%
Other values (86) 2347
65.0%
ValueCountFrequency (%)
0 42
 
1.2%
1 73
2.0%
2 116
3.2%
3 135
3.7%
4 147
4.1%
5 181
5.0%
6 138
3.8%
7 118
3.3%
8 122
3.4%
9 119
3.3%
ValueCountFrequency (%)
135 1
 
< 0.1%
124 1
 
< 0.1%
121 1
 
< 0.1%
107 1
 
< 0.1%
102 2
0.1%
98 1
 
< 0.1%
97 1
 
< 0.1%
95 1
 
< 0.1%
91 4
0.1%
89 2
0.1%

59세여자
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.214226
Minimum0
Maximum137
Zeros38
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:32.771925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median17
Q330
95-th percentile53.4
Maximum137
Range137
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.291666
Coefficient of variation (CV)0.81509765
Kurtosis2.3220355
Mean21.214226
Median Absolute Deviation (MAD)11
Skewness1.323294
Sum76647
Variance299.00171
MonotonicityNot monotonic
2024-04-06T17:21:33.066159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 156
 
4.3%
5 142
 
3.9%
3 136
 
3.8%
7 136
 
3.8%
4 131
 
3.6%
10 114
 
3.2%
8 113
 
3.1%
9 112
 
3.1%
2 105
 
2.9%
12 95
 
2.6%
Other values (86) 2373
65.7%
ValueCountFrequency (%)
0 38
 
1.1%
1 75
2.1%
2 105
2.9%
3 136
3.8%
4 131
3.6%
5 142
3.9%
6 156
4.3%
7 136
3.8%
8 113
3.1%
9 112
3.1%
ValueCountFrequency (%)
137 1
 
< 0.1%
115 1
 
< 0.1%
105 1
 
< 0.1%
101 1
 
< 0.1%
97 1
 
< 0.1%
96 2
0.1%
95 2
0.1%
91 3
0.1%
89 2
0.1%
87 3
0.1%

60세여자
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.490174
Minimum0
Maximum132
Zeros43
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:33.356737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median16
Q330
95-th percentile52
Maximum132
Range132
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.772903
Coefficient of variation (CV)0.81858272
Kurtosis3.0510418
Mean20.490174
Median Absolute Deviation (MAD)10
Skewness1.4174014
Sum74031
Variance281.33026
MonotonicityNot monotonic
2024-04-06T17:21:33.648537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 156
 
4.3%
4 140
 
3.9%
6 140
 
3.9%
8 132
 
3.7%
3 128
 
3.5%
7 127
 
3.5%
2 122
 
3.4%
10 119
 
3.3%
9 110
 
3.0%
13 103
 
2.9%
Other values (88) 2336
64.7%
ValueCountFrequency (%)
0 43
 
1.2%
1 68
1.9%
2 122
3.4%
3 128
3.5%
4 140
3.9%
5 156
4.3%
6 140
3.9%
7 127
3.5%
8 132
3.7%
9 110
3.0%
ValueCountFrequency (%)
132 1
< 0.1%
120 2
0.1%
115 1
< 0.1%
113 1
< 0.1%
109 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%
91 2
0.1%

61세여자
Real number (ℝ)

Distinct110
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.973429
Minimum0
Maximum150
Zeros30
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:34.041888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median20
Q334
95-th percentile61
Maximum150
Range150
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.35516
Coefficient of variation (CV)0.80735884
Kurtosis2.7686272
Mean23.973429
Median Absolute Deviation (MAD)12
Skewness1.3864148
Sum86616
Variance374.62222
MonotonicityNot monotonic
2024-04-06T17:21:34.339217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 140
 
3.9%
4 127
 
3.5%
10 123
 
3.4%
5 123
 
3.4%
3 115
 
3.2%
6 110
 
3.0%
7 109
 
3.0%
9 96
 
2.7%
11 90
 
2.5%
13 86
 
2.4%
Other values (100) 2494
69.0%
ValueCountFrequency (%)
0 30
 
0.8%
1 52
 
1.4%
2 79
2.2%
3 115
3.2%
4 127
3.5%
5 123
3.4%
6 110
3.0%
7 109
3.0%
8 140
3.9%
9 96
2.7%
ValueCountFrequency (%)
150 1
< 0.1%
139 1
< 0.1%
138 1
< 0.1%
122 1
< 0.1%
117 1
< 0.1%
113 2
0.1%
109 2
0.1%
108 1
< 0.1%
107 1
< 0.1%
106 1
< 0.1%

62세여자
Real number (ℝ)

Distinct114
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.524218
Minimum0
Maximum150
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:34.626461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median21
Q336
95-th percentile64
Maximum150
Range150
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.267802
Coefficient of variation (CV)0.79406164
Kurtosis2.5972665
Mean25.524218
Median Absolute Deviation (MAD)12
Skewness1.3664382
Sum92219
Variance410.78381
MonotonicityNot monotonic
2024-04-06T17:21:34.948801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 130
 
3.6%
7 117
 
3.2%
5 116
 
3.2%
4 114
 
3.2%
6 110
 
3.0%
9 104
 
2.9%
12 99
 
2.7%
15 92
 
2.5%
11 92
 
2.5%
8 86
 
2.4%
Other values (104) 2553
70.7%
ValueCountFrequency (%)
0 21
 
0.6%
1 39
 
1.1%
2 75
2.1%
3 85
2.4%
4 114
3.2%
5 116
3.2%
6 110
3.0%
7 117
3.2%
8 86
2.4%
9 104
2.9%
ValueCountFrequency (%)
150 1
< 0.1%
139 1
< 0.1%
134 1
< 0.1%
128 1
< 0.1%
127 2
0.1%
121 1
< 0.1%
120 1
< 0.1%
118 1
< 0.1%
116 1
< 0.1%
114 1
< 0.1%

63세여자
Real number (ℝ)

Distinct128
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.226405
Minimum0
Maximum165
Zeros20
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:35.276150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median24
Q342
95-th percentile72
Maximum165
Range165
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.881797
Coefficient of variation (CV)0.78291522
Kurtosis2.2114446
Mean29.226405
Median Absolute Deviation (MAD)14
Skewness1.2933863
Sum105595
Variance523.57663
MonotonicityNot monotonic
2024-04-06T17:21:35.671085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 119
 
3.3%
7 103
 
2.9%
10 101
 
2.8%
5 93
 
2.6%
4 93
 
2.6%
11 92
 
2.5%
6 91
 
2.5%
9 87
 
2.4%
12 85
 
2.4%
15 78
 
2.2%
Other values (118) 2671
73.9%
ValueCountFrequency (%)
0 20
 
0.6%
1 29
 
0.8%
2 45
 
1.2%
3 69
1.9%
4 93
2.6%
5 93
2.6%
6 91
2.5%
7 103
2.9%
8 119
3.3%
9 87
2.4%
ValueCountFrequency (%)
165 1
 
< 0.1%
162 1
 
< 0.1%
151 1
 
< 0.1%
143 1
 
< 0.1%
139 1
 
< 0.1%
132 1
 
< 0.1%
128 3
0.1%
127 1
 
< 0.1%
126 1
 
< 0.1%
122 1
 
< 0.1%

64세여자
Real number (ℝ)

Distinct120
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.398561
Minimum0
Maximum191
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:36.114379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median24
Q341
95-th percentile69.4
Maximum191
Range191
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.950287
Coefficient of variation (CV)0.77293659
Kurtosis2.598633
Mean28.398561
Median Absolute Deviation (MAD)14
Skewness1.2936176
Sum102604
Variance481.81508
MonotonicityNot monotonic
2024-04-06T17:21:36.535152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 117
 
3.2%
7 112
 
3.1%
9 106
 
2.9%
8 102
 
2.8%
5 99
 
2.7%
10 97
 
2.7%
4 97
 
2.7%
15 90
 
2.5%
12 86
 
2.4%
14 81
 
2.2%
Other values (110) 2626
72.7%
ValueCountFrequency (%)
0 15
 
0.4%
1 33
 
0.9%
2 45
 
1.2%
3 59
1.6%
4 97
2.7%
5 99
2.7%
6 117
3.2%
7 112
3.1%
8 102
2.8%
9 106
2.9%
ValueCountFrequency (%)
191 1
< 0.1%
161 1
< 0.1%
159 1
< 0.1%
137 2
0.1%
131 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
118 1
< 0.1%
116 2
0.1%
115 1
< 0.1%

65세여자
Real number (ℝ)

Distinct112
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.669803
Minimum0
Maximum149
Zeros20
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:36.883301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median22
Q338
95-th percentile66.4
Maximum149
Range149
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.815164
Coefficient of variation (CV)0.78047685
Kurtosis2.3421462
Mean26.669803
Median Absolute Deviation (MAD)13
Skewness1.2972134
Sum96358
Variance433.27106
MonotonicityNot monotonic
2024-04-06T17:21:37.245077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 125
 
3.5%
5 114
 
3.2%
8 113
 
3.1%
6 108
 
3.0%
9 103
 
2.9%
10 101
 
2.8%
7 96
 
2.7%
13 92
 
2.5%
17 92
 
2.5%
11 86
 
2.4%
Other values (102) 2583
71.5%
ValueCountFrequency (%)
0 20
 
0.6%
1 33
 
0.9%
2 47
 
1.3%
3 76
2.1%
4 125
3.5%
5 114
3.2%
6 108
3.0%
7 96
2.7%
8 113
3.1%
9 103
2.9%
ValueCountFrequency (%)
149 1
 
< 0.1%
148 1
 
< 0.1%
147 1
 
< 0.1%
134 3
0.1%
133 1
 
< 0.1%
127 1
 
< 0.1%
117 2
0.1%
114 1
 
< 0.1%
110 3
0.1%
108 1
 
< 0.1%

66세여자
Real number (ℝ)

Distinct117
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.650983
Minimum0
Maximum158
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:37.539932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median22
Q338
95-th percentile67
Maximum158
Range158
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.797825
Coefficient of variation (CV)0.78037742
Kurtosis2.2962407
Mean26.650983
Median Absolute Deviation (MAD)13
Skewness1.2827096
Sum96290
Variance432.54953
MonotonicityNot monotonic
2024-04-06T17:21:37.805006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 126
 
3.5%
8 120
 
3.3%
9 113
 
3.1%
6 113
 
3.1%
4 105
 
2.9%
7 102
 
2.8%
10 95
 
2.6%
15 87
 
2.4%
12 84
 
2.3%
14 84
 
2.3%
Other values (107) 2584
71.5%
ValueCountFrequency (%)
0 21
 
0.6%
1 43
 
1.2%
2 50
 
1.4%
3 65
1.8%
4 105
2.9%
5 126
3.5%
6 113
3.1%
7 102
2.8%
8 120
3.3%
9 113
3.1%
ValueCountFrequency (%)
158 1
< 0.1%
153 1
< 0.1%
146 1
< 0.1%
133 1
< 0.1%
126 1
< 0.1%
122 1
< 0.1%
121 1
< 0.1%
117 1
< 0.1%
112 2
0.1%
110 2
0.1%

67세여자
Real number (ℝ)

Distinct110
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.52145
Minimum0
Maximum169
Zeros25
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:38.112265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median22
Q336
95-th percentile64
Maximum169
Range169
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.78991
Coefficient of variation (CV)0.77542262
Kurtosis2.5630594
Mean25.52145
Median Absolute Deviation (MAD)13
Skewness1.3050726
Sum92209
Variance391.64053
MonotonicityNot monotonic
2024-04-06T17:21:38.515787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 139
 
3.8%
5 117
 
3.2%
9 110
 
3.0%
6 107
 
3.0%
8 102
 
2.8%
4 100
 
2.8%
12 97
 
2.7%
11 92
 
2.5%
13 91
 
2.5%
10 90
 
2.5%
Other values (100) 2568
71.1%
ValueCountFrequency (%)
0 25
 
0.7%
1 46
 
1.3%
2 61
1.7%
3 74
2.0%
4 100
2.8%
5 117
3.2%
6 107
3.0%
7 139
3.8%
8 102
2.8%
9 110
3.0%
ValueCountFrequency (%)
169 1
< 0.1%
137 2
0.1%
131 1
< 0.1%
120 1
< 0.1%
116 1
< 0.1%
115 1
< 0.1%
113 1
< 0.1%
112 1
< 0.1%
108 2
0.1%
107 1
< 0.1%

68세여자
Real number (ℝ)

Distinct110
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.617769
Minimum0
Maximum157
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:38.834096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median21
Q337
95-th percentile64
Maximum157
Range157
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.971915
Coefficient of variation (CV)0.7796118
Kurtosis2.4168189
Mean25.617769
Median Absolute Deviation (MAD)12
Skewness1.3075274
Sum92557
Variance398.87739
MonotonicityNot monotonic
2024-04-06T17:21:39.121267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 127
 
3.5%
7 119
 
3.3%
9 119
 
3.3%
5 116
 
3.2%
6 116
 
3.2%
10 113
 
3.1%
11 107
 
3.0%
13 93
 
2.6%
4 92
 
2.5%
12 88
 
2.4%
Other values (100) 2523
69.8%
ValueCountFrequency (%)
0 21
 
0.6%
1 40
 
1.1%
2 55
1.5%
3 66
1.8%
4 92
2.5%
5 116
3.2%
6 116
3.2%
7 119
3.3%
8 127
3.5%
9 119
3.3%
ValueCountFrequency (%)
157 1
 
< 0.1%
148 1
 
< 0.1%
135 1
 
< 0.1%
134 1
 
< 0.1%
123 1
 
< 0.1%
118 1
 
< 0.1%
116 2
0.1%
113 3
0.1%
107 1
 
< 0.1%
106 1
 
< 0.1%

69세여자
Real number (ℝ)

Distinct110
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.230833
Minimum0
Maximum152
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:39.410285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median22
Q337
95-th percentile65
Maximum152
Range152
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.971862
Coefficient of variation (CV)0.76138878
Kurtosis2.6749597
Mean26.230833
Median Absolute Deviation (MAD)13
Skewness1.3229686
Sum94772
Variance398.87527
MonotonicityNot monotonic
2024-04-06T17:21:39.683443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 114
 
3.2%
5 113
 
3.1%
8 109
 
3.0%
9 108
 
3.0%
7 98
 
2.7%
10 96
 
2.7%
13 92
 
2.5%
11 92
 
2.5%
14 87
 
2.4%
4 85
 
2.4%
Other values (100) 2619
72.5%
ValueCountFrequency (%)
0 22
 
0.6%
1 31
 
0.9%
2 56
1.5%
3 67
1.9%
4 85
2.4%
5 113
3.1%
6 114
3.2%
7 98
2.7%
8 109
3.0%
9 108
3.0%
ValueCountFrequency (%)
152 1
< 0.1%
150 1
< 0.1%
148 1
< 0.1%
135 1
< 0.1%
133 1
< 0.1%
129 1
< 0.1%
127 1
< 0.1%
124 1
< 0.1%
112 2
0.1%
110 1
< 0.1%

70세여자
Real number (ℝ)

Distinct97
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.032383
Minimum0
Maximum128
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:40.070807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median17
Q330
95-th percentile53
Maximum128
Range128
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.282079
Coefficient of variation (CV)0.77414332
Kurtosis2.6862581
Mean21.032383
Median Absolute Deviation (MAD)10
Skewness1.3571977
Sum75990
Variance265.10609
MonotonicityNot monotonic
2024-04-06T17:21:40.418945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 147
 
4.1%
7 137
 
3.8%
5 132
 
3.7%
8 120
 
3.3%
3 117
 
3.2%
10 116
 
3.2%
9 113
 
3.1%
4 109
 
3.0%
11 109
 
3.0%
13 103
 
2.9%
Other values (87) 2410
66.7%
ValueCountFrequency (%)
0 26
 
0.7%
1 51
 
1.4%
2 82
2.3%
3 117
3.2%
4 109
3.0%
5 132
3.7%
6 147
4.1%
7 137
3.8%
8 120
3.3%
9 113
3.1%
ValueCountFrequency (%)
128 1
< 0.1%
113 1
< 0.1%
112 1
< 0.1%
109 1
< 0.1%
106 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
98 1
< 0.1%
96 1
< 0.1%
93 1
< 0.1%

71세여자
Real number (ℝ)

Distinct101
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.945751
Minimum0
Maximum151
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:40.773639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median19
Q332
95-th percentile56.4
Maximum151
Range151
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.423201
Coefficient of variation (CV)0.75932144
Kurtosis3.2047623
Mean22.945751
Median Absolute Deviation (MAD)11
Skewness1.4215077
Sum82903
Variance303.56793
MonotonicityNot monotonic
2024-04-06T17:21:41.199155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 135
 
3.7%
8 129
 
3.6%
5 119
 
3.3%
10 117
 
3.2%
6 116
 
3.2%
11 115
 
3.2%
7 110
 
3.0%
4 105
 
2.9%
16 103
 
2.9%
20 98
 
2.7%
Other values (91) 2466
68.3%
ValueCountFrequency (%)
0 26
 
0.7%
1 35
 
1.0%
2 47
 
1.3%
3 81
2.2%
4 105
2.9%
5 119
3.3%
6 116
3.2%
7 110
3.0%
8 129
3.6%
9 135
3.7%
ValueCountFrequency (%)
151 1
< 0.1%
129 2
0.1%
118 1
< 0.1%
111 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
101 1
< 0.1%
100 1
< 0.1%
99 2
0.1%
98 1
< 0.1%

72세여자
Real number (ℝ)

Distinct88
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.71824
Minimum0
Maximum121
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:41.751714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q327
95-th percentile48
Maximum121
Range121
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.767403
Coefficient of variation (CV)0.74892094
Kurtosis3.1626813
Mean19.71824
Median Absolute Deviation (MAD)9
Skewness1.4312256
Sum71242
Variance218.07618
MonotonicityNot monotonic
2024-04-06T17:21:42.576177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 162
 
4.5%
6 145
 
4.0%
9 141
 
3.9%
7 138
 
3.8%
12 133
 
3.7%
10 128
 
3.5%
5 127
 
3.5%
11 122
 
3.4%
14 122
 
3.4%
15 108
 
3.0%
Other values (78) 2287
63.3%
ValueCountFrequency (%)
0 22
 
0.6%
1 34
 
0.9%
2 81
2.2%
3 101
2.8%
4 87
2.4%
5 127
3.5%
6 145
4.0%
7 138
3.8%
8 162
4.5%
9 141
3.9%
ValueCountFrequency (%)
121 1
< 0.1%
115 1
< 0.1%
105 1
< 0.1%
101 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%
90 2
0.1%
86 1
< 0.1%
85 1
< 0.1%
82 1
< 0.1%

73세여자
Real number (ℝ)

Distinct85
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.137836
Minimum0
Maximum122
Zeros19
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:42.879053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median16
Q327
95-th percentile46
Maximum122
Range122
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.147355
Coefficient of variation (CV)0.73923487
Kurtosis3.1638567
Mean19.137836
Median Absolute Deviation (MAD)9
Skewness1.4271966
Sum69145
Variance200.14766
MonotonicityNot monotonic
2024-04-06T17:21:43.200729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 148
 
4.1%
7 147
 
4.1%
8 141
 
3.9%
11 138
 
3.8%
9 136
 
3.8%
10 132
 
3.7%
4 130
 
3.6%
12 129
 
3.6%
5 128
 
3.5%
16 121
 
3.3%
Other values (75) 2263
62.6%
ValueCountFrequency (%)
0 19
 
0.5%
1 53
 
1.5%
2 63
1.7%
3 80
2.2%
4 130
3.6%
5 128
3.5%
6 148
4.1%
7 147
4.1%
8 141
3.9%
9 136
3.8%
ValueCountFrequency (%)
122 1
 
< 0.1%
102 1
 
< 0.1%
98 1
 
< 0.1%
90 2
 
0.1%
86 3
0.1%
82 1
 
< 0.1%
80 1
 
< 0.1%
78 3
0.1%
77 1
 
< 0.1%
76 6
0.2%

74세여자
Real number (ℝ)

Distinct93
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.620537
Minimum0
Maximum138
Zeros23
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:43.584476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median17
Q328
95-th percentile49.4
Maximum138
Range138
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.272903
Coefficient of variation (CV)0.74066465
Kurtosis3.7963634
Mean20.620537
Median Absolute Deviation (MAD)9
Skewness1.5180766
Sum74502
Variance233.26156
MonotonicityNot monotonic
2024-04-06T17:21:43.872082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 148
 
4.1%
9 142
 
3.9%
10 141
 
3.9%
6 135
 
3.7%
7 126
 
3.5%
11 121
 
3.3%
13 120
 
3.3%
12 117
 
3.2%
5 116
 
3.2%
15 103
 
2.9%
Other values (83) 2344
64.9%
ValueCountFrequency (%)
0 23
 
0.6%
1 26
 
0.7%
2 54
 
1.5%
3 89
2.5%
4 93
2.6%
5 116
3.2%
6 135
3.7%
7 126
3.5%
8 148
4.1%
9 142
3.9%
ValueCountFrequency (%)
138 1
< 0.1%
112 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
99 1
< 0.1%
92 2
0.1%
90 1
< 0.1%
89 2
0.1%
87 1
< 0.1%

75세여자
Real number (ℝ)

Distinct93
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.892887
Minimum0
Maximum155
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:44.245130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median17
Q329
95-th percentile50
Maximum155
Range155
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.364936
Coefficient of variation (CV)0.73541471
Kurtosis4.1443573
Mean20.892887
Median Absolute Deviation (MAD)9
Skewness1.5233974
Sum75486
Variance236.08127
MonotonicityNot monotonic
2024-04-06T17:21:44.572861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 155
 
4.3%
11 148
 
4.1%
10 146
 
4.0%
9 136
 
3.8%
7 127
 
3.5%
12 125
 
3.5%
16 116
 
3.2%
5 115
 
3.2%
14 114
 
3.2%
13 110
 
3.0%
Other values (83) 2321
64.2%
ValueCountFrequency (%)
0 21
 
0.6%
1 33
 
0.9%
2 47
 
1.3%
3 65
1.8%
4 99
2.7%
5 115
3.2%
6 105
2.9%
7 127
3.5%
8 155
4.3%
9 136
3.8%
ValueCountFrequency (%)
155 1
< 0.1%
111 1
< 0.1%
108 2
0.1%
105 1
< 0.1%
104 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%
94 1
< 0.1%
93 1
< 0.1%
91 1
< 0.1%

76세여자
Real number (ℝ)

Distinct94
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.674232
Minimum0
Maximum145
Zeros17
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:44.870064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q329
95-th percentile52
Maximum145
Range145
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.517393
Coefficient of variation (CV)0.71593737
Kurtosis3.8479077
Mean21.674232
Median Absolute Deviation (MAD)9
Skewness1.501004
Sum78309
Variance240.78947
MonotonicityNot monotonic
2024-04-06T17:21:45.261353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 136
 
3.8%
11 132
 
3.7%
14 129
 
3.6%
9 126
 
3.5%
13 123
 
3.4%
12 123
 
3.4%
10 121
 
3.3%
16 120
 
3.3%
7 115
 
3.2%
19 111
 
3.1%
Other values (84) 2377
65.8%
ValueCountFrequency (%)
0 17
 
0.5%
1 28
 
0.8%
2 39
 
1.1%
3 60
1.7%
4 82
2.3%
5 100
2.8%
6 104
2.9%
7 115
3.2%
8 136
3.8%
9 126
3.5%
ValueCountFrequency (%)
145 1
 
< 0.1%
121 1
 
< 0.1%
117 1
 
< 0.1%
114 1
 
< 0.1%
105 1
 
< 0.1%
93 3
0.1%
92 1
 
< 0.1%
91 1
 
< 0.1%
88 1
 
< 0.1%
87 2
0.1%

77세여자
Real number (ℝ)

Distinct87
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.71907
Minimum0
Maximum132
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:45.555746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median17
Q328
95-th percentile49
Maximum132
Range132
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.736499
Coefficient of variation (CV)0.71125293
Kurtosis3.277792
Mean20.71907
Median Absolute Deviation (MAD)9
Skewness1.4431974
Sum74858
Variance217.16441
MonotonicityNot monotonic
2024-04-06T17:21:45.873720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 141
 
3.9%
10 138
 
3.8%
8 135
 
3.7%
12 132
 
3.7%
6 130
 
3.6%
16 127
 
3.5%
13 123
 
3.4%
7 120
 
3.3%
15 119
 
3.3%
17 119
 
3.3%
Other values (77) 2329
64.5%
ValueCountFrequency (%)
0 15
 
0.4%
1 28
 
0.8%
2 43
 
1.2%
3 61
1.7%
4 73
2.0%
5 117
3.2%
6 130
3.6%
7 120
3.3%
8 135
3.7%
9 141
3.9%
ValueCountFrequency (%)
132 1
 
< 0.1%
109 1
 
< 0.1%
103 1
 
< 0.1%
100 1
 
< 0.1%
99 1
 
< 0.1%
97 1
 
< 0.1%
95 1
 
< 0.1%
89 1
 
< 0.1%
84 2
 
0.1%
79 5
0.1%

78세여자
Real number (ℝ)

Distinct73
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.903681
Minimum0
Maximum104
Zeros29
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:46.170452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median13
Q322
95-th percentile38
Maximum104
Range104
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.48149
Coefficient of variation (CV)0.72193913
Kurtosis3.4433272
Mean15.903681
Median Absolute Deviation (MAD)6
Skewness1.4768154
Sum57460
Variance131.82461
MonotonicityNot monotonic
2024-04-06T17:21:46.555815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 190
 
5.3%
10 178
 
4.9%
9 178
 
4.9%
5 167
 
4.6%
8 164
 
4.5%
6 159
 
4.4%
12 144
 
4.0%
11 139
 
3.8%
13 138
 
3.8%
14 133
 
3.7%
Other values (63) 2023
56.0%
ValueCountFrequency (%)
0 29
 
0.8%
1 53
 
1.5%
2 78
2.2%
3 102
2.8%
4 128
3.5%
5 167
4.6%
6 159
4.4%
7 190
5.3%
8 164
4.5%
9 178
4.9%
ValueCountFrequency (%)
104 1
< 0.1%
84 1
< 0.1%
82 1
< 0.1%
77 1
< 0.1%
71 1
< 0.1%
69 2
0.1%
68 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%
65 2
0.1%

79세여자
Real number (ℝ)

Distinct80
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.668973
Minimum0
Maximum126
Zeros24
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:46.890267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q325
95-th percentile43
Maximum126
Range126
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.732055
Coefficient of variation (CV)0.68199012
Kurtosis4.3145808
Mean18.668973
Median Absolute Deviation (MAD)7
Skewness1.510641
Sum67451
Variance162.10523
MonotonicityNot monotonic
2024-04-06T17:21:47.261350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 161
 
4.5%
13 155
 
4.3%
10 152
 
4.2%
12 148
 
4.1%
14 145
 
4.0%
7 144
 
4.0%
8 141
 
3.9%
9 137
 
3.8%
15 135
 
3.7%
16 124
 
3.4%
Other values (70) 2171
60.1%
ValueCountFrequency (%)
0 24
 
0.7%
1 30
 
0.8%
2 56
 
1.5%
3 52
 
1.4%
4 77
2.1%
5 113
3.1%
6 118
3.3%
7 144
4.0%
8 141
3.9%
9 137
3.8%
ValueCountFrequency (%)
126 1
< 0.1%
102 1
< 0.1%
99 1
< 0.1%
97 1
< 0.1%
93 1
< 0.1%
91 1
< 0.1%
80 1
< 0.1%
75 1
< 0.1%
74 2
0.1%
73 1
< 0.1%

80세여자
Real number (ℝ)

Distinct77
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.303626
Minimum0
Maximum123
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:47.560881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median15
Q324
95-th percentile41
Maximum123
Range123
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.31874
Coefficient of variation (CV)0.67302186
Kurtosis4.4465756
Mean18.303626
Median Absolute Deviation (MAD)7
Skewness1.5552121
Sum66131
Variance151.75136
MonotonicityNot monotonic
2024-04-06T17:21:47.842192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 182
 
5.0%
13 173
 
4.8%
11 167
 
4.6%
8 156
 
4.3%
12 156
 
4.3%
9 151
 
4.2%
14 146
 
4.0%
7 127
 
3.5%
15 125
 
3.5%
16 123
 
3.4%
Other values (67) 2107
58.3%
ValueCountFrequency (%)
0 21
 
0.6%
1 21
 
0.6%
2 44
 
1.2%
3 72
2.0%
4 81
2.2%
5 100
2.8%
6 100
2.8%
7 127
3.5%
8 156
4.3%
9 151
4.2%
ValueCountFrequency (%)
123 1
 
< 0.1%
108 1
 
< 0.1%
92 1
 
< 0.1%
84 1
 
< 0.1%
83 1
 
< 0.1%
80 1
 
< 0.1%
76 2
0.1%
74 1
 
< 0.1%
70 1
 
< 0.1%
69 4
0.1%

81세여자
Real number (ℝ)

Distinct93
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.375865
Minimum0
Maximum140
Zeros18
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:48.103249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.6
Q113
median20
Q331
95-th percentile50
Maximum140
Range140
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.755159
Coefficient of variation (CV)0.6312134
Kurtosis5.3602922
Mean23.375865
Median Absolute Deviation (MAD)8
Skewness1.6160158
Sum84457
Variance217.71472
MonotonicityNot monotonic
2024-04-06T17:21:48.410130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 133
 
3.7%
17 132
 
3.7%
12 125
 
3.5%
15 123
 
3.4%
19 123
 
3.4%
14 122
 
3.4%
23 121
 
3.3%
20 119
 
3.3%
13 119
 
3.3%
11 114
 
3.2%
Other values (83) 2382
65.9%
ValueCountFrequency (%)
0 18
 
0.5%
1 18
 
0.5%
2 24
 
0.7%
3 40
1.1%
4 36
 
1.0%
5 45
1.2%
6 57
1.6%
7 68
1.9%
8 84
2.3%
9 96
2.7%
ValueCountFrequency (%)
140 1
 
< 0.1%
135 1
 
< 0.1%
119 1
 
< 0.1%
116 1
 
< 0.1%
113 1
 
< 0.1%
109 3
0.1%
104 1
 
< 0.1%
101 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%

82세여자
Real number (ℝ)

Distinct88
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.502353
Minimum0
Maximum126
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:48.710758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median19
Q328
95-th percentile47
Maximum126
Range126
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.512015
Coefficient of variation (CV)0.62839703
Kurtosis4.2900416
Mean21.502353
Median Absolute Deviation (MAD)8
Skewness1.4997892
Sum77688
Variance182.57454
MonotonicityNot monotonic
2024-04-06T17:21:48.989174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 145
 
4.0%
12 143
 
4.0%
13 140
 
3.9%
14 138
 
3.8%
20 129
 
3.6%
15 129
 
3.6%
16 128
 
3.5%
10 125
 
3.5%
21 124
 
3.4%
19 123
 
3.4%
Other values (78) 2289
63.4%
ValueCountFrequency (%)
0 14
 
0.4%
1 21
 
0.6%
2 40
 
1.1%
3 42
 
1.2%
4 41
 
1.1%
5 51
1.4%
6 71
2.0%
7 87
2.4%
8 92
2.5%
9 116
3.2%
ValueCountFrequency (%)
126 1
 
< 0.1%
122 1
 
< 0.1%
104 1
 
< 0.1%
97 1
 
< 0.1%
94 1
 
< 0.1%
90 1
 
< 0.1%
88 2
0.1%
86 1
 
< 0.1%
83 1
 
< 0.1%
80 3
0.1%

83세여자
Real number (ℝ)

Distinct75
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.803487
Minimum0
Maximum124
Zeros27
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:49.271039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median15
Q323
95-th percentile39
Maximum124
Range124
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.33132
Coefficient of variation (CV)0.63646629
Kurtosis5.6935095
Mean17.803487
Median Absolute Deviation (MAD)6
Skewness1.5708783
Sum64324
Variance128.3988
MonotonicityNot monotonic
2024-04-06T17:21:49.542385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 176
 
4.9%
12 175
 
4.8%
14 172
 
4.8%
13 161
 
4.5%
10 154
 
4.3%
11 149
 
4.1%
15 148
 
4.1%
19 134
 
3.7%
17 134
 
3.7%
18 132
 
3.7%
Other values (65) 2078
57.5%
ValueCountFrequency (%)
0 27
 
0.7%
1 22
 
0.6%
2 43
 
1.2%
3 64
 
1.8%
4 70
 
1.9%
5 93
2.6%
6 112
3.1%
7 117
3.2%
8 126
3.5%
9 176
4.9%
ValueCountFrequency (%)
124 1
< 0.1%
116 1
< 0.1%
86 1
< 0.1%
81 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
72 1
< 0.1%
71 2
0.1%
67 1
< 0.1%
66 1
< 0.1%

84세여자
Real number (ℝ)

Distinct76
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.840852
Minimum0
Maximum110
Zeros22
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:49.807878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q323
95-th percentile40
Maximum110
Range110
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.280054
Coefficient of variation (CV)0.6322598
Kurtosis4.4780729
Mean17.840852
Median Absolute Deviation (MAD)6
Skewness1.5476342
Sum64459
Variance127.23962
MonotonicityNot monotonic
2024-04-06T17:21:50.063540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 189
 
5.2%
14 173
 
4.8%
11 173
 
4.8%
16 164
 
4.5%
13 160
 
4.4%
10 154
 
4.3%
15 146
 
4.0%
18 141
 
3.9%
9 134
 
3.7%
7 132
 
3.7%
Other values (66) 2047
56.7%
ValueCountFrequency (%)
0 22
 
0.6%
1 31
 
0.9%
2 35
 
1.0%
3 51
 
1.4%
4 61
1.7%
5 80
2.2%
6 123
3.4%
7 132
3.7%
8 131
3.6%
9 134
3.7%
ValueCountFrequency (%)
110 1
 
< 0.1%
89 1
 
< 0.1%
86 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
78 1
 
< 0.1%
77 1
 
< 0.1%
75 1
 
< 0.1%
73 3
0.1%
71 1
 
< 0.1%

85세여자
Real number (ℝ)

Distinct69
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.545253
Minimum0
Maximum105
Zeros25
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:50.404332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median15
Q321
95-th percentile36
Maximum105
Range105
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.402874
Coefficient of variation (CV)0.62875276
Kurtosis4.4266067
Mean16.545253
Median Absolute Deviation (MAD)6
Skewness1.4867574
Sum59778
Variance108.21978
MonotonicityNot monotonic
2024-04-06T17:21:51.221647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 184
 
5.1%
12 182
 
5.0%
17 179
 
5.0%
11 174
 
4.8%
14 174
 
4.8%
10 164
 
4.5%
9 153
 
4.2%
15 151
 
4.2%
7 147
 
4.1%
18 143
 
4.0%
Other values (59) 1962
54.3%
ValueCountFrequency (%)
0 25
 
0.7%
1 41
 
1.1%
2 45
 
1.2%
3 68
1.9%
4 76
2.1%
5 106
2.9%
6 130
3.6%
7 147
4.1%
8 123
3.4%
9 153
4.2%
ValueCountFrequency (%)
105 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%
78 1
 
< 0.1%
75 1
 
< 0.1%
69 3
0.1%
67 1
 
< 0.1%
66 1
 
< 0.1%
62 3
0.1%
61 1
 
< 0.1%

86세여자
Real number (ℝ)

Distinct61
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.403543
Minimum0
Maximum76
Zeros26
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:51.494836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median13
Q319
95-th percentile32
Maximum76
Range76
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.0135808
Coefficient of variation (CV)0.62578915
Kurtosis3.202514
Mean14.403543
Median Absolute Deviation (MAD)5
Skewness1.3411475
Sum52040
Variance81.244639
MonotonicityNot monotonic
2024-04-06T17:21:51.859101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 202
 
5.6%
14 189
 
5.2%
9 189
 
5.2%
8 187
 
5.2%
10 185
 
5.1%
7 178
 
4.9%
11 178
 
4.9%
13 175
 
4.8%
6 168
 
4.6%
15 163
 
4.5%
Other values (51) 1799
49.8%
ValueCountFrequency (%)
0 26
 
0.7%
1 46
 
1.3%
2 70
 
1.9%
3 99
2.7%
4 92
2.5%
5 124
3.4%
6 168
4.6%
7 178
4.9%
8 187
5.2%
9 189
5.2%
ValueCountFrequency (%)
76 1
 
< 0.1%
72 1
 
< 0.1%
61 2
0.1%
60 2
0.1%
58 2
0.1%
56 2
0.1%
55 1
 
< 0.1%
54 2
0.1%
52 3
0.1%
51 1
 
< 0.1%

87세여자
Real number (ℝ)

Distinct57
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.088015
Minimum0
Maximum85
Zeros34
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:52.143733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median12
Q317
95-th percentile28
Maximum85
Range85
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.2647568
Coefficient of variation (CV)0.63147517
Kurtosis5.0027063
Mean13.088015
Median Absolute Deviation (MAD)5
Skewness1.5115666
Sum47287
Variance68.306205
MonotonicityNot monotonic
2024-04-06T17:21:52.431222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 227
 
6.3%
10 226
 
6.3%
9 225
 
6.2%
11 206
 
5.7%
7 199
 
5.5%
13 194
 
5.4%
12 174
 
4.8%
14 170
 
4.7%
6 159
 
4.4%
5 150
 
4.2%
Other values (47) 1683
46.6%
ValueCountFrequency (%)
0 34
 
0.9%
1 50
 
1.4%
2 73
 
2.0%
3 110
3.0%
4 141
3.9%
5 150
4.2%
6 159
4.4%
7 199
5.5%
8 227
6.3%
9 225
6.2%
ValueCountFrequency (%)
85 1
< 0.1%
73 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%
57 1
< 0.1%
56 2
0.1%
54 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%

88세여자
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.433158
Minimum0
Maximum59
Zeros38
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:52.718657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile25
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.3211625
Coefficient of variation (CV)0.64034473
Kurtosis3.6451606
Mean11.433158
Median Absolute Deviation (MAD)4
Skewness1.4303296
Sum41308
Variance53.599421
MonotonicityNot monotonic
2024-04-06T17:21:53.078264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 256
 
7.1%
9 250
 
6.9%
10 240
 
6.6%
11 228
 
6.3%
6 218
 
6.0%
5 218
 
6.0%
7 198
 
5.5%
12 190
 
5.3%
4 180
 
5.0%
14 168
 
4.6%
Other values (44) 1467
40.6%
ValueCountFrequency (%)
0 38
 
1.1%
1 65
 
1.8%
2 98
 
2.7%
3 138
3.8%
4 180
5.0%
5 218
6.0%
6 218
6.0%
7 198
5.5%
8 256
7.1%
9 250
6.9%
ValueCountFrequency (%)
59 1
 
< 0.1%
58 1
 
< 0.1%
54 1
 
< 0.1%
51 1
 
< 0.1%
50 1
 
< 0.1%
48 1
 
< 0.1%
47 2
0.1%
46 2
0.1%
45 1
 
< 0.1%
44 4
0.1%

89세여자
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7298644
Minimum0
Maximum54
Zeros55
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:53.385513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q313
95-th percentile21
Maximum54
Range54
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3650996
Coefficient of variation (CV)0.65418174
Kurtosis4.0282146
Mean9.7298644
Median Absolute Deviation (MAD)4
Skewness1.4388244
Sum35154
Variance40.514493
MonotonicityNot monotonic
2024-04-06T17:21:53.662267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 291
 
8.1%
8 271
 
7.5%
9 264
 
7.3%
7 260
 
7.2%
5 259
 
7.2%
10 217
 
6.0%
11 213
 
5.9%
4 198
 
5.5%
3 192
 
5.3%
12 192
 
5.3%
Other values (36) 1256
34.8%
ValueCountFrequency (%)
0 55
 
1.5%
1 101
 
2.8%
2 146
4.0%
3 192
5.3%
4 198
5.5%
5 259
7.2%
6 291
8.1%
7 260
7.2%
8 271
7.5%
9 264
7.3%
ValueCountFrequency (%)
54 2
 
0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%
40 1
 
< 0.1%
39 1
 
< 0.1%
38 1
 
< 0.1%
37 1
 
< 0.1%
36 5
0.1%

90세여자
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4674785
Minimum0
Maximum48
Zeros83
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:53.906870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q310
95-th percentile16.4
Maximum48
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0638621
Coefficient of variation (CV)0.67812208
Kurtosis4.3344718
Mean7.4674785
Median Absolute Deviation (MAD)3
Skewness1.4734803
Sum26980
Variance25.642699
MonotonicityNot monotonic
2024-04-06T17:21:54.398446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 348
 
9.6%
4 348
 
9.6%
5 339
 
9.4%
7 314
 
8.7%
3 273
 
7.6%
8 257
 
7.1%
9 247
 
6.8%
2 240
 
6.6%
10 190
 
5.3%
11 185
 
5.1%
Other values (28) 872
24.1%
ValueCountFrequency (%)
0 83
 
2.3%
1 164
4.5%
2 240
6.6%
3 273
7.6%
4 348
9.6%
5 339
9.4%
6 348
9.6%
7 314
8.7%
8 257
7.1%
9 247
6.8%
ValueCountFrequency (%)
48 1
 
< 0.1%
42 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
33 2
 
0.1%
31 3
0.1%
30 5
0.1%
29 2
 
0.1%
28 3
0.1%

91세여자
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1079435
Minimum0
Maximum35
Zeros135
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:54.760204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile14
Maximum35
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3973433
Coefficient of variation (CV)0.71993844
Kurtosis3.787935
Mean6.1079435
Median Absolute Deviation (MAD)2
Skewness1.4863612
Sum22068
Variance19.336628
MonotonicityNot monotonic
2024-04-06T17:21:55.021005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 446
12.3%
4 430
11.9%
3 367
10.2%
2 333
9.2%
6 315
8.7%
7 276
7.6%
8 243
 
6.7%
1 234
 
6.5%
9 180
 
5.0%
10 161
 
4.5%
Other values (23) 628
17.4%
ValueCountFrequency (%)
0 135
 
3.7%
1 234
6.5%
2 333
9.2%
3 367
10.2%
4 430
11.9%
5 446
12.3%
6 315
8.7%
7 276
7.6%
8 243
6.7%
9 180
5.0%
ValueCountFrequency (%)
35 1
 
< 0.1%
34 2
 
0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 5
0.1%
26 2
 
0.1%
25 4
0.1%
24 6
0.2%
23 4
0.1%

92세여자
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6783836
Minimum0
Maximum30
Zeros214
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:55.329085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile11
Maximum30
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5095299
Coefficient of variation (CV)0.75015864
Kurtosis3.8842444
Mean4.6783836
Median Absolute Deviation (MAD)2
Skewness1.4522763
Sum16903
Variance12.3168
MonotonicityNot monotonic
2024-04-06T17:21:55.602033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 488
13.5%
3 479
13.3%
2 460
12.7%
5 394
10.9%
1 390
10.8%
6 322
8.9%
7 237
6.6%
0 214
5.9%
8 175
 
4.8%
9 123
 
3.4%
Other values (17) 331
9.2%
ValueCountFrequency (%)
0 214
5.9%
1 390
10.8%
2 460
12.7%
3 479
13.3%
4 488
13.5%
5 394
10.9%
6 322
8.9%
7 237
6.6%
8 175
 
4.8%
9 123
 
3.4%
ValueCountFrequency (%)
30 1
 
< 0.1%
28 2
 
0.1%
24 2
 
0.1%
23 1
 
< 0.1%
22 2
 
0.1%
21 2
 
0.1%
20 1
 
< 0.1%
19 9
0.2%
18 3
 
0.1%
17 6
0.2%

93세여자
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4375865
Minimum0
Maximum20
Zeros363
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:55.866543image/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 deviation2.7196007
Coefficient of variation (CV)0.79113667
Kurtosis2.3994782
Mean3.4375865
Median Absolute Deviation (MAD)2
Skewness1.274784
Sum12420
Variance7.3962281
MonotonicityNot monotonic
2024-04-06T17:21:56.103746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 629
17.4%
1 575
15.9%
3 558
15.4%
4 460
12.7%
0 363
10.0%
5 356
9.9%
6 227
 
6.3%
7 158
 
4.4%
8 97
 
2.7%
9 64
 
1.8%
Other values (9) 126
 
3.5%
ValueCountFrequency (%)
0 363
10.0%
1 575
15.9%
2 629
17.4%
3 558
15.4%
4 460
12.7%
5 356
9.9%
6 227
 
6.3%
7 158
 
4.4%
8 97
 
2.7%
9 64
 
1.8%
ValueCountFrequency (%)
20 1
 
< 0.1%
17 3
 
0.1%
16 4
 
0.1%
15 6
 
0.2%
14 9
 
0.2%
13 10
 
0.3%
12 17
 
0.5%
11 28
0.8%
10 48
1.3%
9 64
1.8%

94세여자
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7104899
Minimum0
Maximum17
Zeros520
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:56.434748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3303556
Coefficient of variation (CV)0.85975439
Kurtosis2.5985364
Mean2.7104899
Median Absolute Deviation (MAD)1
Skewness1.3604468
Sum9793
Variance5.4305572
MonotonicityNot monotonic
2024-04-06T17:21:56.680857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 758
21.0%
2 747
20.7%
3 543
15.0%
0 520
14.4%
4 387
10.7%
5 228
 
6.3%
6 164
 
4.5%
7 110
 
3.0%
8 63
 
1.7%
9 37
 
1.0%
Other values (8) 56
 
1.5%
ValueCountFrequency (%)
0 520
14.4%
1 758
21.0%
2 747
20.7%
3 543
15.0%
4 387
10.7%
5 228
 
6.3%
6 164
 
4.5%
7 110
 
3.0%
8 63
 
1.7%
9 37
 
1.0%
ValueCountFrequency (%)
17 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
0.1%
14 2
 
0.1%
13 3
 
0.1%
12 12
 
0.3%
11 9
 
0.2%
10 26
0.7%
9 37
1.0%
8 63
1.7%

95세여자
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9593136
Minimum0
Maximum16
Zeros807
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:56.925364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5.4
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8494723
Coefficient of variation (CV)0.94393891
Kurtosis3.7992654
Mean1.9593136
Median Absolute Deviation (MAD)1
Skewness1.5027526
Sum7079
Variance3.4205479
MonotonicityNot monotonic
2024-04-06T17:21:57.221213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 961
26.6%
0 807
22.3%
2 736
20.4%
3 508
14.1%
4 264
 
7.3%
5 156
 
4.3%
6 91
 
2.5%
7 41
 
1.1%
8 23
 
0.6%
9 12
 
0.3%
Other values (5) 14
 
0.4%
ValueCountFrequency (%)
0 807
22.3%
1 961
26.6%
2 736
20.4%
3 508
14.1%
4 264
 
7.3%
5 156
 
4.3%
6 91
 
2.5%
7 41
 
1.1%
8 23
 
0.6%
9 12
 
0.3%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
12 2
 
0.1%
11 6
 
0.2%
10 4
 
0.1%
9 12
 
0.3%
8 23
 
0.6%
7 41
 
1.1%
6 91
2.5%
5 156
4.3%

96세여자
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4115693
Minimum0
Maximum13
Zeros1135
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:57.472467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4716777
Coefficient of variation (CV)1.0425826
Kurtosis4.53672
Mean1.4115693
Median Absolute Deviation (MAD)1
Skewness1.6143842
Sum5100
Variance2.1658351
MonotonicityNot monotonic
2024-04-06T17:21:57.711976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1135
31.4%
1 1095
30.3%
2 716
19.8%
3 365
 
10.1%
4 159
 
4.4%
5 80
 
2.2%
6 30
 
0.8%
7 17
 
0.5%
8 10
 
0.3%
9 3
 
0.1%
Other values (2) 3
 
0.1%
ValueCountFrequency (%)
0 1135
31.4%
1 1095
30.3%
2 716
19.8%
3 365
 
10.1%
4 159
 
4.4%
5 80
 
2.2%
6 30
 
0.8%
7 17
 
0.5%
8 10
 
0.3%
9 3
 
0.1%
ValueCountFrequency (%)
13 2
 
0.1%
10 1
 
< 0.1%
9 3
 
0.1%
8 10
 
0.3%
7 17
 
0.5%
6 30
 
0.8%
5 80
 
2.2%
4 159
 
4.4%
3 365
10.1%
2 716
19.8%

97세여자
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89593136
Minimum0
Maximum11
Zeros1660
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:57.983768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1135517
Coefficient of variation (CV)1.2428984
Kurtosis5.5816114
Mean0.89593136
Median Absolute Deviation (MAD)1
Skewness1.810423
Sum3237
Variance1.2399973
MonotonicityNot monotonic
2024-04-06T17:21:58.247768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1660
45.9%
1 1147
31.7%
2 508
 
14.1%
3 191
 
5.3%
4 63
 
1.7%
5 28
 
0.8%
6 10
 
0.3%
7 3
 
0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 1660
45.9%
1 1147
31.7%
2 508
 
14.1%
3 191
 
5.3%
4 63
 
1.7%
5 28
 
0.8%
6 10
 
0.3%
7 3
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 3
 
0.1%
6 10
 
0.3%
5 28
 
0.8%
4 63
 
1.7%
3 191
 
5.3%
2 508
14.1%
1 1147
31.7%

98세여자
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55577083
Minimum0
Maximum7
Zeros2202
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:58.511680image/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 deviation0.85070686
Coefficient of variation (CV)1.5306792
Kurtosis6.3267822
Mean0.55577083
Median Absolute Deviation (MAD)0
Skewness2.0622432
Sum2008
Variance0.72370215
MonotonicityNot monotonic
2024-04-06T17:21:58.880021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2202
60.9%
1 988
27.3%
2 307
 
8.5%
3 80
 
2.2%
4 22
 
0.6%
5 8
 
0.2%
6 4
 
0.1%
7 2
 
0.1%
ValueCountFrequency (%)
0 2202
60.9%
1 988
27.3%
2 307
 
8.5%
3 80
 
2.2%
4 22
 
0.6%
5 8
 
0.2%
6 4
 
0.1%
7 2
 
0.1%
ValueCountFrequency (%)
7 2
 
0.1%
6 4
 
0.1%
5 8
 
0.2%
4 22
 
0.6%
3 80
 
2.2%
2 307
 
8.5%
1 988
27.3%
0 2202
60.9%

99세여자
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33407141
Minimum0
Maximum6
Zeros2646
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:59.219891image/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 deviation0.62915855
Coefficient of variation (CV)1.8833056
Kurtosis7.5125896
Mean0.33407141
Median Absolute Deviation (MAD)0
Skewness2.3283852
Sum1207
Variance0.39584048
MonotonicityNot monotonic
2024-04-06T17:21:59.521902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2646
73.2%
1 782
 
21.6%
2 144
 
4.0%
3 30
 
0.8%
4 9
 
0.2%
6 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2646
73.2%
1 782
 
21.6%
2 144
 
4.0%
3 30
 
0.8%
4 9
 
0.2%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 9
 
0.2%
3 30
 
0.8%
2 144
 
4.0%
1 782
 
21.6%
0 2646
73.2%

100세여자
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26626073
Minimum0
Maximum5
Zeros2817
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2024-04-06T17:21:59.823968image/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 deviation0.5563131
Coefficient of variation (CV)2.0893547
Kurtosis7.3195031
Mean0.26626073
Median Absolute Deviation (MAD)0
Skewness2.4340969
Sum962
Variance0.30948427
MonotonicityNot monotonic
2024-04-06T17:22:00.107527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2817
78.0%
1 665
 
18.4%
2 100
 
2.8%
3 28
 
0.8%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2817
78.0%
1 665
 
18.4%
2 100
 
2.8%
3 28
 
0.8%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
0.1%
3 28
 
0.8%
2 100
 
2.8%
1 665
 
18.4%
0 2817
78.0%

101세여자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3014 
1
512 
2
 
71
3
 
14
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3014
83.4%
1 512
 
14.2%
2 71
 
2.0%
3 14
 
0.4%
4 2
 
0.1%

Length

2024-04-06T17:22:00.419559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:00.739158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3014
83.4%
1 512
 
14.2%
2 71
 
2.0%
3 14
 
0.4%
4 2
 
0.1%

102세여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3253 
1
335 
2
 
21
3
 
4

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 3253
90.0%
1 335
 
9.3%
2 21
 
0.6%
3 4
 
0.1%

Length

2024-04-06T17:22:01.073923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:01.369036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3253
90.0%
1 335
 
9.3%
2 21
 
0.6%
3 4
 
0.1%

103세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3368 
1
 
237
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3368
93.2%
1 237
 
6.6%
2 8
 
0.2%

Length

2024-04-06T17:22:01.665604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:01.917302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3368
93.2%
1 237
 
6.6%
2 8
 
0.2%

104세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3472 
1
 
138
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 3472
96.1%
1 138
 
3.8%
2 3
 
0.1%

Length

2024-04-06T17:22:02.160215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:02.400511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3472
96.1%
1 138
 
3.8%
2 3
 
0.1%

105세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3522 
1
 
90
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 3522
97.5%
1 90
 
2.5%
2 1
 
< 0.1%

Length

2024-04-06T17:22:02.654218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:02.851114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3522
97.5%
1 90
 
2.5%
2 1
 
< 0.1%

106세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3548 
1
 
65

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 3548
98.2%
1 65
 
1.8%

Length

2024-04-06T17:22:03.052220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:03.262551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3548
98.2%
1 65
 
1.8%

107세여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3564 
1
 
48
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 3564
98.6%
1 48
 
1.3%
2 1
 
< 0.1%

Length

2024-04-06T17:22:03.518112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:03.759760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3564
98.6%
1 48
 
1.3%
2 1
 
< 0.1%

108세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3569 
1
 
44

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 3569
98.8%
1 44
 
1.2%

Length

2024-04-06T17:22:04.060623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:04.312806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3569
98.8%
1 44
 
1.2%

109세여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3583 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3583
99.2%
1 30
 
0.8%

Length

2024-04-06T17:22:04.584082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:04.849574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3583
99.2%
1 30
 
0.8%

110세이상 여자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
0
3543 
1
 
66
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 3543
98.1%
1 66
 
1.8%
2 3
 
0.1%
3 1
 
< 0.1%

Length

2024-04-06T17:22:05.102783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:05.369313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3543
98.1%
1 66
 
1.8%
2 3
 
0.1%
3 1
 
< 0.1%

Sample

행정기관코드기준연월시도명시군구명읍면동명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
011110515002024-03-31서울특별시종로구청운효자동1950729122100000000000000000000004757101418272732232416211616915101221141488171010181614591211121359141011114971110710485744641563633332501000010011000000000000000000000000001213648121423252133283124222429152422232018302728181723181315171417212314101115121915141617212411141518131217131512182016179118151071081163313101001000000000
111110530002024-03-31서울특별시종로구사직동23079131394000000000000000000102125616151623294336503929191418221117222413717121212121615181017719617911161112158141491251072101955834164563612300000202010000010000000000000000000122854781720273936364143584029293930223137291632202425241622241713262116161010121192118201521121114131111181316141261117131371113136512424422211001000000000
211110540002024-03-31서울특별시종로구삼청동55526029500000000001000000000300453565484105495362463766321732345622484882442454722342210042200111110020100000000000000000000000000000000000000023554645940662335411343324238482033453218377846646240365853880435411332210100000000000000
311110550002024-03-31서울특별시종로구부암동16737009730000000000000000001235399691818111421181915161816181521131111101111810121181269141111111116171071412101478778674111123534125541010200000000000000000000000000000100000034127116121215911221626192116181013191616191816181518915241513121018221217121617171221211216161619149781141251057121051689874316401310100100000000
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711110600002024-03-31서울특별시종로구가회동91438652800000000000020000101010044617101014991189579878116356611614713486118664984106643525325511224001101111000000010000000000000000000000000000000101516642146131781571011767111410911957258813787111066997101655288294755111388124311415336131210120000000000000
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행정기관코드기준연월시도명시군구명읍면동명남자여자0세남자1세남자2세남자3세남자4세남자5세남자6세남자7세남자8세남자9세남자10세남자11세남자12세남자13세남자14세남자15세남자16세남자17세남자18세남자19세남자20세남자21세남자22세남자23세남자24세남자25세남자26세남자27세남자28세남자29세남자30세남자31세남자32세남자33세남자34세남자35세남자36세남자37세남자38세남자39세남자40세남자41세남자42세남자43세남자44세남자45세남자46세남자47세남자48세남자49세남자50세남자51세남자52세남자53세남자54세남자55세남자56세남자57세남자58세남자59세남자60세남자61세남자62세남자63세남자64세남자65세남자66세남자67세남자68세남자69세남자70세남자71세남자72세남자73세남자74세남자75세남자76세남자77세남자78세남자79세남자80세남자81세남자82세남자83세남자84세남자85세남자86세남자87세남자88세남자89세남자90세남자91세남자92세남자93세남자94세남자95세남자96세남자97세남자98세남자99세남자100세남자101세남자102세남자103세남자104세남자105세남자106세남자107세남자108세남자109세남자110세이상 남자0세여자1세여자2세여자3세여자4세여자5세여자6세여자7세여자8세여자9세여자10세여자11세여자12세여자13세여자14세여자15세여자16세여자17세여자18세여자19세여자20세여자21세여자22세여자23세여자24세여자25세여자26세여자27세여자28세여자29세여자30세여자31세여자32세여자33세여자34세여자35세여자36세여자37세여자38세여자39세여자40세여자41세여자42세여자43세여자44세여자45세여자46세여자47세여자48세여자49세여자50세여자51세여자52세여자53세여자54세여자55세여자56세여자57세여자58세여자59세여자60세여자61세여자62세여자63세여자64세여자65세여자66세여자67세여자68세여자69세여자70세여자71세여자72세여자73세여자74세여자75세여자76세여자77세여자78세여자79세여자80세여자81세여자82세여자83세여자84세여자85세여자86세여자87세여자88세여자89세여자90세여자91세여자92세여자93세여자94세여자95세여자96세여자97세여자98세여자99세여자100세여자101세여자102세여자103세여자104세여자105세여자106세여자107세여자108세여자109세여자110세이상 여자
360352800330002024-03-31전북특별자치도부안군행안면730391339000000000000100000011002173241424401125658523777961091391188121414121582012817510975521642211330711110100100001000000000000000000000000000000000011010102416200114020211221030253124153571044116271045715771985591210916791085756154120000000000000
360452800340002024-03-31전북특별자치도부안군계화면10345005340000000010000000000000022113000244443439869510681114145161210171018171218131091718131116129108651286616352243132022020000000000000000000000000000000000010000102202013103220111233143182244255373553101111169681615111721151213151122162628192218181366616511210101000000000
360552800350002024-03-31전북특별자치도부안군보안면8924334590000000000000000000000100114431312524211233513574141158912131315171113171020161014148147578686943356204523121020001000000000000000000000000000000010001110011100000020000012103123112541258554667108712119671578151514121318171719241413151615745343101100000000000
360652800360002024-03-31전북특별자치도부안군변산면144374669700000000000000000000125435486444494742681310121617115121926192121242016272424242615152022201318171367121289767239268400030000100000000000000000000000100000000000012011222336231122222434462265958114581510159141518202218242819231112591813252311141220151422221410109946342210000000000000
360752800370002024-03-31전북특별자치도부안군진서면80139840300000000100000000000000222201410232210211262733526461113715111315816811131520181018135951011348642622024100100111000000000000000000000000100000000001001000101012011011130121254353145476564541515131414911119566166119513916197513136107632100201000001000010
360852800380002024-03-31전북특별자치도부안군백산면91342548800000000000001000001001121322111471313103231224511101376686148181612181615161114151412877834343374414251036120001000000000000000000000000000000000000003212110102101131101013024131626323544448147128115116109111681213911132324141327161717815187542220000000000000
360952800390002024-03-31전북특별자치도부안군상서면750358392000000000000000000000003004122322312321412232242314521481410112210101317101310141111810462754536052330552131100100000000000000000000000000000000000000001130011000302011100200214125345276628543108858510914989119139122013131915131791126213130000000000000
361052800400002024-03-31전북특별자치도부안군하서면8804074730000000000001000000001032142004121002124242645546117589724131012131214911169131886109886863284443503031411100100000000000000000000000000000000000000130001001111012101211014302141474625555894129151312121515121113191091423262120141712128714623410002000000100
361152800410002024-03-31전북특별자치도부안군줄포면8764074690000000000000000000000102114242124103111144147743441268121212814151722191717131541011887511311521535323220010101000000000000000000000000000000100100100010000101010110211131212213434410337789141712108121281191511138981012131718131020118111410875261211100000000000
361252800420002024-03-31전북특별자치도부안군위도면543318225000000000000000000000020002141341222202239149653496119131671061373101310855875985747620221210112111000000000000000000000000000000000000000000000003111001002012122111100326543224252554374238735654613193386573455142211210000100000000