Overview

Dataset statistics

Number of variables58
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory523.1 B

Variable types

Numeric57
Categorical1

Dataset

Description산림치유이력관리시스템을 통해 수집된 체성분 관련 정보로 개인식별가능한 정보 및 민감정보를 제외한, 신체연령, 세포내 수분량, 단백질량 등의 정보로 구성됨.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15121134/fileData.do

Alerts

연번 has unique valuesUnique
최고혈압 has 27 (42.2%) zerosZeros
최저혈압 has 27 (42.2%) zerosZeros
맥박 has 27 (42.2%) zerosZeros

Reproduction

Analysis started2023-12-12 11:07:58.238260
Analysis finished2023-12-12 11:07:58.834571
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.203125
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:07:58.924322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median33.5
Q349.25
95-th percentile61.85
Maximum65
Range64
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation18.985525
Coefficient of variation (CV)0.57179933
Kurtosis-1.2041681
Mean33.203125
Median Absolute Deviation (MAD)16.5
Skewness-0.027873194
Sum2125
Variance360.45015
MonotonicityNot monotonic
2023-12-12T20:07:59.137925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 1
 
1.6%
38 1
 
1.6%
35 1
 
1.6%
37 1
 
1.6%
22 1
 
1.6%
23 1
 
1.6%
4 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
11 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
65 1
1.6%
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%

최고평균체중
Real number (ℝ)

Distinct54
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.75
Minimum15.3
Maximum55.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:07:59.357451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.3
5-th percentile19.8
Q130.6
median42.1
Q346.475
95-th percentile51.57
Maximum55.9
Range40.6
Interquartile range (IQR)15.875

Descriptive statistics

Standard deviation10.68121
Coefficient of variation (CV)0.27564414
Kurtosis-0.79239545
Mean38.75
Median Absolute Deviation (MAD)6.45
Skewness-0.59732628
Sum2480
Variance114.08825
MonotonicityNot monotonic
2023-12-12T20:07:59.595338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.2 2
 
3.1%
37.4 2
 
3.1%
52.0 2
 
3.1%
51.3 2
 
3.1%
45.5 2
 
3.1%
25.7 2
 
3.1%
38.0 2
 
3.1%
43.3 2
 
3.1%
21.5 2
 
3.1%
19.8 2
 
3.1%
Other values (44) 44
68.8%
ValueCountFrequency (%)
15.3 1
1.6%
18.1 1
1.6%
18.9 1
1.6%
19.8 2
3.1%
21.0 1
1.6%
21.5 2
3.1%
23.6 1
1.6%
24.9 1
1.6%
25.7 2
3.1%
27.6 1
1.6%
ValueCountFrequency (%)
55.9 1
1.6%
52.0 2
3.1%
51.6 1
1.6%
51.4 1
1.6%
51.3 2
3.1%
50.7 1
1.6%
50.6 1
1.6%
50.4 1
1.6%
49.5 1
1.6%
48.7 1
1.6%

최저평균체중
Real number (ℝ)

Distinct55
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.375
Minimum18.7
Maximum68.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:07:59.812360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.7
5-th percentile24.3
Q137.35
median51.5
Q356.775
95-th percentile63.07
Maximum68.4
Range49.7
Interquartile range (IQR)19.425

Descriptive statistics

Standard deviation13.060749
Coefficient of variation (CV)0.27568864
Kurtosis-0.79616809
Mean47.375
Median Absolute Deviation (MAD)7.95
Skewness-0.59435054
Sum3032
Variance170.58317
MonotonicityNot monotonic
2023-12-12T20:08:00.026999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.3 2
 
3.1%
45.7 2
 
3.1%
63.5 2
 
3.1%
55.6 2
 
3.1%
31.4 2
 
3.1%
46.5 2
 
3.1%
53.0 2
 
3.1%
26.2 2
 
3.1%
24.3 2
 
3.1%
62.7 1
 
1.6%
Other values (45) 45
70.3%
ValueCountFrequency (%)
18.7 1
1.6%
22.2 1
1.6%
23.1 1
1.6%
24.3 2
3.1%
25.7 1
1.6%
26.2 2
3.1%
28.9 1
1.6%
30.4 1
1.6%
31.4 2
3.1%
33.7 1
1.6%
ValueCountFrequency (%)
68.4 1
1.6%
63.5 2
3.1%
63.1 1
1.6%
62.9 1
1.6%
62.8 1
1.6%
62.7 1
1.6%
62.0 1
1.6%
61.9 1
1.6%
61.7 1
1.6%
60.6 1
1.6%

표준체중
Real number (ℝ)

Distinct55
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.107813
Minimum17
Maximum62.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:00.279758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile22.1
Q134.025
median46.85
Q351.675
95-th percentile57.37
Maximum62.2
Range45.2
Interquartile range (IQR)17.65

Descriptive statistics

Standard deviation11.872595
Coefficient of variation (CV)0.27541632
Kurtosis-0.792337
Mean43.107813
Median Absolute Deviation (MAD)7.2
Skewness-0.59635773
Sum2758.9
Variance140.95851
MonotonicityNot monotonic
2023-12-12T20:08:00.491758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.3 2
 
3.1%
41.6 2
 
3.1%
57.8 2
 
3.1%
50.6 2
 
3.1%
28.6 2
 
3.1%
42.3 2
 
3.1%
48.2 2
 
3.1%
23.9 2
 
3.1%
22.1 2
 
3.1%
57.0 1
 
1.6%
Other values (45) 45
70.3%
ValueCountFrequency (%)
17.0 1
1.6%
20.2 1
1.6%
21.0 1
1.6%
22.1 2
3.1%
23.4 1
1.6%
23.9 2
3.1%
26.3 1
1.6%
27.7 1
1.6%
28.6 2
3.1%
30.7 1
1.6%
ValueCountFrequency (%)
62.2 1
1.6%
57.8 2
3.1%
57.4 1
1.6%
57.2 1
1.6%
57.1 1
1.6%
57.0 1
1.6%
56.4 1
1.6%
56.3 1
1.6%
56.1 1
1.6%
55.1 1
1.6%

체지방량
Real number (ℝ)

Distinct58
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.6375
Minimum16.7
Maximum53.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:00.723742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.7
5-th percentile20.58
Q128.525
median36.35
Q340.375
95-th percentile46.95
Maximum53.9
Range37.2
Interquartile range (IQR)11.85

Descriptive statistics

Standard deviation8.5138076
Coefficient of variation (CV)0.24579741
Kurtosis-0.68196699
Mean34.6375
Median Absolute Deviation (MAD)6.2
Skewness-0.19911848
Sum2216.8
Variance72.484921
MonotonicityNot monotonic
2023-12-12T20:08:00.993259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.4 3
 
4.7%
21.6 2
 
3.1%
29.9 2
 
3.1%
43.6 2
 
3.1%
42.2 2
 
3.1%
46.1 1
 
1.6%
23.7 1
 
1.6%
44.2 1
 
1.6%
38.2 1
 
1.6%
36.3 1
 
1.6%
Other values (48) 48
75.0%
ValueCountFrequency (%)
16.7 1
 
1.6%
20.4 3
4.7%
21.6 2
3.1%
21.9 1
 
1.6%
22.6 1
 
1.6%
22.8 1
 
1.6%
22.9 1
 
1.6%
23.3 1
 
1.6%
23.7 1
 
1.6%
23.9 1
 
1.6%
ValueCountFrequency (%)
53.9 1
1.6%
47.7 1
1.6%
47.2 1
1.6%
47.1 1
1.6%
46.1 1
1.6%
45.9 1
1.6%
45.6 1
1.6%
44.8 1
1.6%
44.6 1
1.6%
44.2 1
1.6%

최저체지방량
Real number (ℝ)

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.195312
Minimum14.7
Maximum49.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:01.253631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.7
5-th percentile17.9
Q126.45
median32.75
Q336.15
95-th percentile40.085
Maximum49.7
Range35
Interquartile range (IQR)9.7

Descriptive statistics

Standard deviation7.6713325
Coefficient of variation (CV)0.24591299
Kurtosis-0.29575398
Mean31.195312
Median Absolute Deviation (MAD)4.3
Skewness-0.32733929
Sum1996.5
Variance58.849343
MonotonicityNot monotonic
2023-12-12T20:08:01.505118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.9 3
 
4.7%
29.6 3
 
4.7%
35.2 2
 
3.1%
30.9 2
 
3.1%
39.9 2
 
3.1%
39.4 2
 
3.1%
30.4 2
 
3.1%
35.4 2
 
3.1%
33.7 2
 
3.1%
19.1 2
 
3.1%
Other values (42) 42
65.6%
ValueCountFrequency (%)
14.7 1
 
1.6%
15.4 1
 
1.6%
17.9 3
4.7%
18.1 1
 
1.6%
19.1 2
3.1%
21.4 1
 
1.6%
21.5 1
 
1.6%
22.7 1
 
1.6%
23.1 1
 
1.6%
23.3 1
 
1.6%
ValueCountFrequency (%)
49.7 1
1.6%
46.2 1
1.6%
40.4 1
1.6%
40.1 1
1.6%
40.0 1
1.6%
39.9 2
3.1%
39.4 2
3.1%
39.2 1
1.6%
38.5 1
1.6%
37.9 1
1.6%

최고체지방량
Real number (ℝ)

Distinct53
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.282812
Minimum15.5
Maximum52.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:01.773476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.5
5-th percentile20.2
Q129.1
median37.45
Q341.275
95-th percentile45.87
Maximum52.8
Range37.3
Interquartile range (IQR)12.175

Descriptive statistics

Standard deviation8.8473394
Coefficient of variation (CV)0.25075494
Kurtosis-0.58040686
Mean35.282812
Median Absolute Deviation (MAD)5.1
Skewness-0.52332588
Sum2258.1
Variance78.275414
MonotonicityNot monotonic
2023-12-12T20:08:02.037323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.4 3
 
4.7%
20.2 3
 
4.7%
33.8 3
 
4.7%
40.2 2
 
3.1%
35.1 2
 
3.1%
45.6 2
 
3.1%
38.5 2
 
3.1%
20.3 2
 
3.1%
39.6 1
 
1.6%
17.4 1
 
1.6%
Other values (43) 43
67.2%
ValueCountFrequency (%)
15.5 1
 
1.6%
17.4 1
 
1.6%
19.2 1
 
1.6%
20.2 3
4.7%
20.3 2
3.1%
24.0 1
 
1.6%
24.3 1
 
1.6%
24.4 1
 
1.6%
25.0 1
 
1.6%
26.2 1
 
1.6%
ValueCountFrequency (%)
52.8 1
1.6%
49.1 1
1.6%
46.2 1
1.6%
45.9 1
1.6%
45.7 1
1.6%
45.6 2
3.1%
45.1 1
1.6%
45.0 1
1.6%
44.8 1
1.6%
44.0 1
1.6%

근육량
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.879687
Minimum15.4
Maximum49.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:02.331970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.4
5-th percentile19.08
Q126.6
median33.3
Q336.825
95-th percentile43.08
Maximum49.9
Range34.5
Interquartile range (IQR)10.225

Descriptive statistics

Standard deviation7.7131341
Coefficient of variation (CV)0.2419451
Kurtosis-0.61293863
Mean31.879687
Median Absolute Deviation (MAD)5.75
Skewness-0.17679967
Sum2040.3
Variance59.492438
MonotonicityNot monotonic
2023-12-12T20:08:02.665985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3 3
 
4.7%
26.3 2
 
3.1%
38.6 2
 
3.1%
39.9 2
 
3.1%
35.2 2
 
3.1%
34.1 2
 
3.1%
18.9 2
 
3.1%
36.9 1
 
1.6%
40.4 1
 
1.6%
36.2 1
 
1.6%
Other values (46) 46
71.9%
ValueCountFrequency (%)
15.4 1
1.6%
18.8 1
1.6%
18.9 2
3.1%
20.1 1
1.6%
20.2 1
1.6%
20.5 1
1.6%
21.0 1
1.6%
21.3 1
1.6%
21.4 1
1.6%
21.9 1
1.6%
ValueCountFrequency (%)
49.9 1
1.6%
44.0 1
1.6%
43.3 1
1.6%
43.2 1
1.6%
42.4 1
1.6%
41.9 1
1.6%
41.7 1
1.6%
41.3 1
1.6%
40.7 1
1.6%
40.4 1
1.6%

최저근육량
Real number (ℝ)

Distinct54
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.801562
Minimum13.7
Maximum46.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:02.958607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.7
5-th percentile16.6
Q124.6
median30.2
Q333.25
95-th percentile36.97
Maximum46.1
Range32.4
Interquartile range (IQR)8.65

Descriptive statistics

Standard deviation7.0243678
Coefficient of variation (CV)0.24388843
Kurtosis-0.23611378
Mean28.801562
Median Absolute Deviation (MAD)3.9
Skewness-0.30429112
Sum1843.3
Variance49.341744
MonotonicityNot monotonic
2023-12-12T20:08:03.731721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.6 3
 
4.7%
32.4 2
 
3.1%
28.7 2
 
3.1%
36.8 2
 
3.1%
36.3 2
 
3.1%
32.6 2
 
3.1%
27.2 2
 
3.1%
31.0 2
 
3.1%
17.8 2
 
3.1%
31.9 1
 
1.6%
Other values (44) 44
68.8%
ValueCountFrequency (%)
13.7 1
 
1.6%
14.3 1
 
1.6%
16.6 3
4.7%
16.9 1
 
1.6%
17.8 2
3.1%
19.8 1
 
1.6%
20.0 1
 
1.6%
21.2 1
 
1.6%
21.4 1
 
1.6%
21.5 1
 
1.6%
ValueCountFrequency (%)
46.1 1
1.6%
42.8 1
1.6%
37.2 1
1.6%
37.0 1
1.6%
36.8 2
3.1%
36.7 1
1.6%
36.3 2
3.1%
36.1 1
1.6%
35.5 1
1.6%
34.9 1
1.6%

근육량 최고
Real number (ℝ)

Distinct54
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.689063
Minimum14.5
Maximum49.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:03.998504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.5
5-th percentile18.8
Q127.05
median34.65
Q338.175
95-th percentile42.385
Maximum49.1
Range34.6
Interquartile range (IQR)11.125

Descriptive statistics

Standard deviation8.1408458
Coefficient of variation (CV)0.24903883
Kurtosis-0.55151918
Mean32.689063
Median Absolute Deviation (MAD)4.6
Skewness-0.51703705
Sum2092.1
Variance66.273371
MonotonicityNot monotonic
2023-12-12T20:08:04.278924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.8 5
 
7.8%
37.2 2
 
3.1%
32.1 2
 
3.1%
35.6 2
 
3.1%
31.3 2
 
3.1%
32.6 2
 
3.1%
37.4 2
 
3.1%
37.3 1
 
1.6%
42.7 1
 
1.6%
24.8 1
 
1.6%
Other values (44) 44
68.8%
ValueCountFrequency (%)
14.5 1
 
1.6%
16.2 1
 
1.6%
17.9 1
 
1.6%
18.8 5
7.8%
22.4 1
 
1.6%
22.5 1
 
1.6%
22.7 1
 
1.6%
23.4 1
 
1.6%
24.4 1
 
1.6%
24.5 1
 
1.6%
ValueCountFrequency (%)
49.1 1
1.6%
45.6 1
1.6%
42.7 1
1.6%
42.4 1
1.6%
42.3 1
1.6%
42.2 1
1.6%
42.1 1
1.6%
41.7 1
1.6%
41.6 1
1.6%
41.5 1
1.6%

골격근
Real number (ℝ)

Distinct51
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.082813
Minimum9.2
Maximum29.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:04.538986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.2
5-th percentile11.405
Q115.925
median19.9
Q322.025
95-th percentile25.825
Maximum29.9
Range20.7
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation4.6294281
Coefficient of variation (CV)0.24259674
Kurtosis-0.61384579
Mean19.082813
Median Absolute Deviation (MAD)3.4
Skewness-0.17423823
Sum1221.3
Variance21.431605
MonotonicityNot monotonic
2023-12-12T20:08:04.772451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.9 3
 
4.7%
21.1 3
 
4.7%
13.3 2
 
3.1%
20.4 2
 
3.1%
11.3 2
 
3.1%
19.2 2
 
3.1%
23.1 2
 
3.1%
23.9 2
 
3.1%
25.9 2
 
3.1%
15.7 2
 
3.1%
Other values (41) 42
65.6%
ValueCountFrequency (%)
9.2 1
1.6%
11.2 1
1.6%
11.3 2
3.1%
12.0 1
1.6%
12.1 1
1.6%
12.3 1
1.6%
12.6 1
1.6%
12.7 1
1.6%
12.8 1
1.6%
13.1 1
1.6%
ValueCountFrequency (%)
29.9 1
1.6%
26.4 1
1.6%
25.9 2
3.1%
25.4 1
1.6%
25.1 1
1.6%
25.0 1
1.6%
24.7 1
1.6%
24.4 1
1.6%
24.2 1
1.6%
23.9 2
3.1%

골격근 최저
Real number (ℝ)

Distinct48
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.240625
Minimum8.2
Maximum27.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:04.987302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile9.9
Q114.7
median18.1
Q319.925
95-th percentile22.17
Maximum27.6
Range19.4
Interquartile range (IQR)5.225

Descriptive statistics

Standard deviation4.2154184
Coefficient of variation (CV)0.24450496
Kurtosis-0.23783983
Mean17.240625
Median Absolute Deviation (MAD)2.35
Skewness-0.31242861
Sum1103.4
Variance17.769752
MonotonicityNot monotonic
2023-12-12T20:08:05.248576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
17.2 3
 
4.7%
22.0 3
 
4.7%
9.9 3
 
4.7%
19.5 3
 
4.7%
19.4 2
 
3.1%
21.7 2
 
3.1%
18.6 2
 
3.1%
16.3 2
 
3.1%
16.8 2
 
3.1%
20.2 2
 
3.1%
Other values (38) 40
62.5%
ValueCountFrequency (%)
8.2 1
 
1.6%
8.5 1
 
1.6%
9.9 3
4.7%
10.1 1
 
1.6%
10.6 2
3.1%
11.8 1
 
1.6%
12.0 1
 
1.6%
12.7 1
 
1.6%
12.8 1
 
1.6%
12.9 1
 
1.6%
ValueCountFrequency (%)
27.6 1
 
1.6%
25.6 1
 
1.6%
22.3 1
 
1.6%
22.2 1
 
1.6%
22.0 3
4.7%
21.7 2
3.1%
21.6 1
 
1.6%
21.3 1
 
1.6%
20.9 1
 
1.6%
20.3 1
 
1.6%

최고근육량
Real number (ℝ)

Distinct47
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.567188
Minimum8.7
Maximum29.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:05.508065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.7
5-th percentile11.2
Q116.15
median20.75
Q322.85
95-th percentile25.385
Maximum29.4
Range20.7
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation4.8863287
Coefficient of variation (CV)0.24972054
Kurtosis-0.55701224
Mean19.567188
Median Absolute Deviation (MAD)2.75
Skewness-0.51607264
Sum1252.3
Variance23.876208
MonotonicityNot monotonic
2023-12-12T20:08:05.758651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
11.2 5
 
7.8%
22.3 3
 
4.7%
18.7 3
 
4.7%
23.2 2
 
3.1%
19.2 2
 
3.1%
22.8 2
 
3.1%
24.9 2
 
3.1%
22.4 2
 
3.1%
21.3 2
 
3.1%
25.3 2
 
3.1%
Other values (37) 39
60.9%
ValueCountFrequency (%)
8.7 1
 
1.6%
9.7 1
 
1.6%
10.7 1
 
1.6%
11.2 5
7.8%
13.4 1
 
1.6%
13.5 1
 
1.6%
13.6 1
 
1.6%
14.0 1
 
1.6%
14.6 1
 
1.6%
14.7 1
 
1.6%
ValueCountFrequency (%)
29.4 1
1.6%
27.3 1
1.6%
25.6 1
1.6%
25.4 1
1.6%
25.3 2
3.1%
25.2 1
1.6%
25.0 1
1.6%
24.9 2
3.1%
24.4 1
1.6%
24.0 1
1.6%

체수분량
Real number (ℝ)

Distinct58
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.940625
Minimum12
Maximum38.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:05.984586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14.835
Q120.55
median26.15
Q329.05
95-th percentile33.795
Maximum38.8
Range26.8
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.1230172
Coefficient of variation (CV)0.24550376
Kurtosis-0.68071869
Mean24.940625
Median Absolute Deviation (MAD)4.45
Skewness-0.1992211
Sum1596.2
Variance37.491339
MonotonicityNot monotonic
2023-12-12T20:08:06.245981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.7 3
 
4.7%
15.6 2
 
3.1%
21.5 2
 
3.1%
31.4 2
 
3.1%
30.4 2
 
3.1%
33.2 1
 
1.6%
17.1 1
 
1.6%
31.8 1
 
1.6%
27.5 1
 
1.6%
26.1 1
 
1.6%
Other values (48) 48
75.0%
ValueCountFrequency (%)
12.0 1
 
1.6%
14.7 3
4.7%
15.6 2
3.1%
15.8 1
 
1.6%
16.3 1
 
1.6%
16.4 1
 
1.6%
16.5 1
 
1.6%
16.8 1
 
1.6%
17.1 1
 
1.6%
17.2 1
 
1.6%
ValueCountFrequency (%)
38.8 1
1.6%
34.3 1
1.6%
34.0 1
1.6%
33.9 1
1.6%
33.2 1
1.6%
33.0 1
1.6%
32.8 1
1.6%
32.3 1
1.6%
32.1 1
1.6%
31.8 1
1.6%

최저 체수분량
Real number (ℝ)

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.445312
Minimum10.5
Maximum35.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:06.480223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile12.9
Q119.075
median23.55
Q326.025
95-th percentile28.885
Maximum35.8
Range25.3
Interquartile range (IQR)6.95

Descriptive statistics

Standard deviation5.5290841
Coefficient of variation (CV)0.24633581
Kurtosis-0.29300387
Mean22.445312
Median Absolute Deviation (MAD)3.1
Skewness-0.32971702
Sum1436.5
Variance30.570771
MonotonicityNot monotonic
2023-12-12T20:08:06.734817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.3 3
 
4.7%
25.3 2
 
3.1%
22.3 2
 
3.1%
28.7 2
 
3.1%
12.9 2
 
3.1%
21.9 2
 
3.1%
25.5 2
 
3.1%
24.2 2
 
3.1%
26.4 2
 
3.1%
25.0 2
 
3.1%
Other values (42) 43
67.2%
ValueCountFrequency (%)
10.5 1
1.6%
11.1 1
1.6%
12.8 1
1.6%
12.9 2
3.1%
13.0 1
1.6%
13.7 2
3.1%
15.4 1
1.6%
15.5 1
1.6%
16.3 1
1.6%
16.6 1
1.6%
ValueCountFrequency (%)
35.8 1
1.6%
33.2 1
1.6%
29.1 1
1.6%
28.9 1
1.6%
28.8 1
1.6%
28.7 2
3.1%
28.4 1
1.6%
28.3 1
1.6%
28.2 1
1.6%
27.7 1
1.6%

최고 체수분량
Real number (ℝ)

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.389062
Minimum11.1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:06.988949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.1
5-th percentile14.5
Q120.975
median26.95
Q329.725
95-th percentile32.985
Maximum38
Range26.9
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation6.3676044
Coefficient of variation (CV)0.25080109
Kurtosis-0.57019016
Mean25.389062
Median Absolute Deviation (MAD)3.65
Skewness-0.5284015
Sum1624.9
Variance40.546386
MonotonicityNot monotonic
2023-12-12T20:08:07.256335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.5 3
 
4.7%
24.3 3
 
4.7%
28.9 2
 
3.1%
25.3 2
 
3.1%
14.6 2
 
3.1%
32.4 2
 
3.1%
29.1 2
 
3.1%
27.7 2
 
3.1%
32.8 2
 
3.1%
28.6 2
 
3.1%
Other values (42) 42
65.6%
ValueCountFrequency (%)
11.1 1
 
1.6%
12.5 1
 
1.6%
13.8 1
 
1.6%
14.5 3
4.7%
14.6 2
3.1%
17.3 1
 
1.6%
17.5 1
 
1.6%
17.6 1
 
1.6%
18.0 1
 
1.6%
18.8 1
 
1.6%
ValueCountFrequency (%)
38.0 1
1.6%
35.3 1
1.6%
33.2 1
1.6%
33.0 1
1.6%
32.9 1
1.6%
32.8 2
3.1%
32.4 2
3.1%
32.3 1
1.6%
31.7 1
1.6%
31.2 1
1.6%

세포내 수분
Real number (ℝ)

Distinct47
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.851563
Minimum7.4
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:07.444904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.4
5-th percentile9.06
Q112.475
median15.45
Q316.9
95-th percentile19.87
Maximum23
Range15.6
Interquartile range (IQR)4.425

Descriptive statistics

Standard deviation3.5461579
Coefficient of variation (CV)0.23877339
Kurtosis-0.64568202
Mean14.851563
Median Absolute Deviation (MAD)2.6
Skewness-0.21380602
Sum950.5
Variance12.575236
MonotonicityNot monotonic
2023-12-12T20:08:07.655743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
16.7 3
 
4.7%
16.1 2
 
3.1%
14.4 2
 
3.1%
10.3 2
 
3.1%
16.4 2
 
3.1%
19.9 2
 
3.1%
9.4 2
 
3.1%
15.3 2
 
3.1%
16.0 2
 
3.1%
15.9 2
 
3.1%
Other values (37) 43
67.2%
ValueCountFrequency (%)
7.4 1
1.6%
8.8 2
3.1%
9.0 1
1.6%
9.4 2
3.1%
9.6 2
3.1%
9.9 2
3.1%
10.2 1
1.6%
10.3 2
3.1%
12.1 1
1.6%
12.3 1
1.6%
ValueCountFrequency (%)
23.0 1
1.6%
20.4 1
1.6%
19.9 2
3.1%
19.7 1
1.6%
19.5 1
1.6%
19.4 1
1.6%
19.2 1
1.6%
18.9 1
1.6%
18.7 1
1.6%
18.6 1
1.6%

최저 세포내 수분
Real number (ℝ)

Distinct47
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.78125
Minimum7.2
Maximum22.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:07.883914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile8.975
Q112.375
median15.35
Q317.025
95-th percentile19.925
Maximum22.9
Range15.7
Interquartile range (IQR)4.65

Descriptive statistics

Standard deviation3.5383556
Coefficient of variation (CV)0.23938135
Kurtosis-0.63585417
Mean14.78125
Median Absolute Deviation (MAD)2.65
Skewness-0.17929799
Sum946
Variance12.51996
MonotonicityNot monotonic
2023-12-12T20:08:08.097012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
8.9 3
 
4.7%
15.7 3
 
4.7%
14.9 2
 
3.1%
12.6 2
 
3.1%
19.0 2
 
3.1%
16.4 2
 
3.1%
19.5 2
 
3.1%
20.0 2
 
3.1%
15.3 2
 
3.1%
10.3 2
 
3.1%
Other values (37) 42
65.6%
ValueCountFrequency (%)
7.2 1
 
1.6%
8.9 3
4.7%
9.4 2
3.1%
9.5 1
 
1.6%
9.8 1
 
1.6%
9.9 2
3.1%
10.1 1
 
1.6%
10.3 2
3.1%
12.0 1
 
1.6%
12.2 1
 
1.6%
ValueCountFrequency (%)
22.9 1
1.6%
20.4 1
1.6%
20.0 2
3.1%
19.5 2
3.1%
19.4 1
1.6%
19.0 2
3.1%
18.8 1
1.6%
18.6 1
1.6%
18.4 1
1.6%
18.0 1
1.6%

최고 세포내 수분
Real number (ℝ)

Distinct50
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.2
Minimum7.9
Maximum25.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:08.346715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.9
5-th percentile9.79
Q113.475
median16.9
Q318.65
95-th percentile21.91
Maximum25.1
Range17.2
Interquartile range (IQR)5.175

Descriptive statistics

Standard deviation3.8913008
Coefficient of variation (CV)0.24020376
Kurtosis-0.64709981
Mean16.2
Median Absolute Deviation (MAD)2.9
Skewness-0.18061695
Sum1036.8
Variance15.142222
MonotonicityNot monotonic
2023-12-12T20:08:08.555732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 3
 
4.7%
17.4 3
 
4.7%
16.4 2
 
3.1%
13.8 2
 
3.1%
17.2 2
 
3.1%
21.4 2
 
3.1%
22.0 2
 
3.1%
17.8 2
 
3.1%
16.2 2
 
3.1%
11.3 2
 
3.1%
Other values (40) 42
65.6%
ValueCountFrequency (%)
7.9 1
 
1.6%
9.7 3
4.7%
10.3 2
3.1%
10.4 1
 
1.6%
10.7 1
 
1.6%
10.8 1
 
1.6%
10.9 1
 
1.6%
11.1 1
 
1.6%
11.3 2
3.1%
13.1 1
 
1.6%
ValueCountFrequency (%)
25.1 1
1.6%
22.3 1
1.6%
22.0 2
3.1%
21.4 2
3.1%
21.2 1
1.6%
20.9 1
1.6%
20.8 1
1.6%
20.6 1
1.6%
20.4 1
1.6%
20.2 1
1.6%

세포외 수분
Real number (ℝ)

Distinct48
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.089062
Minimum4.6
Maximum15.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:08.771508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6
5-th percentile5.945
Q18.075
median10.6
Q312.025
95-th percentile13.885
Maximum15.8
Range11.2
Interquartile range (IQR)3.95

Descriptive statistics

Standard deviation2.5888722
Coefficient of variation (CV)0.25660186
Kurtosis-0.73201957
Mean10.089062
Median Absolute Deviation (MAD)1.85
Skewness-0.16974976
Sum645.7
Variance6.7022594
MonotonicityNot monotonic
2023-12-12T20:08:08.983561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
11.2 3
 
4.7%
10.6 3
 
4.7%
6.2 3
 
4.7%
11.1 3
 
4.7%
8.0 2
 
3.1%
13.3 2
 
3.1%
13.2 2
 
3.1%
10.2 2
 
3.1%
6.9 2
 
3.1%
11.0 2
 
3.1%
Other values (38) 40
62.5%
ValueCountFrequency (%)
4.6 1
 
1.6%
5.7 1
 
1.6%
5.9 2
3.1%
6.2 3
4.7%
6.4 1
 
1.6%
6.5 1
 
1.6%
6.6 1
 
1.6%
6.8 1
 
1.6%
6.9 2
3.1%
7.8 1
 
1.6%
ValueCountFrequency (%)
15.8 1
1.6%
14.1 1
1.6%
14.0 1
1.6%
13.9 1
1.6%
13.8 1
1.6%
13.4 1
1.6%
13.3 2
3.1%
13.2 2
3.1%
12.9 1
1.6%
12.7 1
1.6%

최저 세포외 수분
Real number (ℝ)

Distinct39
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.740625
Minimum4.1
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:09.188269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile5.045
Q17.075
median9.15
Q310.4
95-th percentile11.885
Maximum13.7
Range9.6
Interquartile range (IQR)3.325

Descriptive statistics

Standard deviation2.236048
Coefficient of variation (CV)0.25582244
Kurtosis-0.74664663
Mean8.740625
Median Absolute Deviation (MAD)1.55
Skewness-0.22922312
Sum559.4
Variance4.9999107
MonotonicityNot monotonic
2023-12-12T20:08:09.386507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
9.4 4
 
6.2%
9.8 4
 
6.2%
5.6 3
 
4.7%
8.8 3
 
4.7%
7.8 3
 
4.7%
9.6 3
 
4.7%
5.0 3
 
4.7%
11.2 2
 
3.1%
12.0 2
 
3.1%
8.5 2
 
3.1%
Other values (29) 35
54.7%
ValueCountFrequency (%)
4.1 1
 
1.6%
5.0 3
4.7%
5.3 2
3.1%
5.4 1
 
1.6%
5.6 3
4.7%
5.7 1
 
1.6%
5.8 1
 
1.6%
5.9 1
 
1.6%
6.8 1
 
1.6%
7.0 2
3.1%
ValueCountFrequency (%)
13.7 1
1.6%
12.0 2
3.1%
11.9 1
1.6%
11.8 1
1.6%
11.6 2
3.1%
11.4 1
1.6%
11.3 1
1.6%
11.2 2
3.1%
11.0 1
1.6%
10.8 1
1.6%

최고 세포외 수분
Real number (ℝ)

Distinct45
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.159375
Minimum4.8
Maximum15.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:10.174355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile5.86
Q18.175
median10.7
Q312.025
95-th percentile13.87
Maximum15.9
Range11.1
Interquartile range (IQR)3.85

Descriptive statistics

Standard deviation2.5901351
Coefficient of variation (CV)0.25495024
Kurtosis-0.75054004
Mean10.159375
Median Absolute Deviation (MAD)1.8
Skewness-0.22411681
Sum650.2
Variance6.7087996
MonotonicityNot monotonic
2023-12-12T20:08:10.465259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
11.2 4
 
6.2%
5.8 3
 
4.7%
11.4 3
 
4.7%
10.9 3
 
4.7%
8.9 2
 
3.1%
6.2 2
 
3.1%
13.9 2
 
3.1%
11.0 2
 
3.1%
8.1 2
 
3.1%
13.0 2
 
3.1%
Other values (35) 39
60.9%
ValueCountFrequency (%)
4.8 1
 
1.6%
5.8 3
4.7%
6.2 2
3.1%
6.3 1
 
1.6%
6.5 2
3.1%
6.6 1
 
1.6%
6.7 1
 
1.6%
6.8 1
 
1.6%
6.9 1
 
1.6%
7.9 1
 
1.6%
ValueCountFrequency (%)
15.9 1
1.6%
14.0 1
1.6%
13.9 2
3.1%
13.7 1
1.6%
13.5 1
1.6%
13.4 1
1.6%
13.3 1
1.6%
13.1 1
1.6%
13.0 2
3.1%
12.8 1
1.6%

단백질
Real number (ℝ)

Distinct41
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9390625
Minimum3.4
Maximum11.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:10.730043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.245
Q15.875
median7.15
Q37.925
95-th percentile9.285
Maximum11.1
Range7.7
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.6005572
Coefficient of variation (CV)0.23065899
Kurtosis-0.31110996
Mean6.9390625
Median Absolute Deviation (MAD)1.15
Skewness-0.077052333
Sum444.1
Variance2.5617832
MonotonicityNot monotonic
2023-12-12T20:08:10.967342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7.6 4
 
6.2%
7.2 3
 
4.7%
7.4 3
 
4.7%
5.9 2
 
3.1%
8.2 2
 
3.1%
4.7 2
 
3.1%
5.7 2
 
3.1%
7.0 2
 
3.1%
6.6 2
 
3.1%
6.5 2
 
3.1%
Other values (31) 40
62.5%
ValueCountFrequency (%)
3.4 1
1.6%
4.1 1
1.6%
4.2 2
3.1%
4.5 1
1.6%
4.6 1
1.6%
4.7 2
3.1%
4.9 2
3.1%
5.0 1
1.6%
5.1 1
1.6%
5.2 1
1.6%
ValueCountFrequency (%)
11.1 1
1.6%
9.7 1
1.6%
9.3 2
3.1%
9.2 1
1.6%
9.1 1
1.6%
9.0 1
1.6%
8.7 1
1.6%
8.6 2
3.1%
8.5 2
3.1%
8.3 1
1.6%

단백질 최저
Real number (ℝ)

Distinct37
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.071875
Minimum2.7
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:11.202273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.3
Q14.875
median6.5
Q37.2
95-th percentile8
Maximum9.9
Range7.2
Interquartile range (IQR)2.325

Descriptive statistics

Standard deviation1.6481321
Coefficient of variation (CV)0.27143709
Kurtosis-0.53997397
Mean6.071875
Median Absolute Deviation (MAD)1
Skewness-0.32010963
Sum388.6
Variance2.7163393
MonotonicityNot monotonic
2023-12-12T20:08:11.422012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7.0 6
 
9.4%
8.0 3
 
4.7%
3.3 3
 
4.7%
7.8 3
 
4.7%
6.9 3
 
4.7%
7.3 3
 
4.7%
6.7 3
 
4.7%
5.9 2
 
3.1%
4.0 2
 
3.1%
4.3 2
 
3.1%
Other values (27) 34
53.1%
ValueCountFrequency (%)
2.7 1
 
1.6%
2.8 1
 
1.6%
3.2 1
 
1.6%
3.3 3
4.7%
3.5 2
3.1%
4.0 2
3.1%
4.2 2
3.1%
4.3 2
3.1%
4.4 1
 
1.6%
4.8 1
 
1.6%
ValueCountFrequency (%)
9.9 1
 
1.6%
9.2 1
 
1.6%
8.0 3
4.7%
7.9 2
3.1%
7.8 3
4.7%
7.7 1
 
1.6%
7.5 1
 
1.6%
7.3 3
4.7%
7.2 2
3.1%
7.1 1
 
1.6%

단백질 최고
Real number (ℝ)

Distinct38
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9390625
Minimum3
Maximum11.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:11.673223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.715
Q15.575
median7.45
Q38.225
95-th percentile9.1
Maximum11.1
Range8.1
Interquartile range (IQR)2.65

Descriptive statistics

Standard deviation1.8900422
Coefficient of variation (CV)0.27237717
Kurtosis-0.61590934
Mean6.9390625
Median Absolute Deviation (MAD)1.15
Skewness-0.36735413
Sum444.1
Variance3.5722594
MonotonicityNot monotonic
2023-12-12T20:08:11.933221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8.0 6
 
9.4%
9.1 4
 
6.2%
7.9 3
 
4.7%
7.7 3
 
4.7%
6.7 2
 
3.1%
4.5 2
 
3.1%
5.0 2
 
3.1%
9.0 2
 
3.1%
3.8 2
 
3.1%
8.2 2
 
3.1%
Other values (28) 36
56.2%
ValueCountFrequency (%)
3.0 1
1.6%
3.2 1
1.6%
3.7 2
3.1%
3.8 2
3.1%
3.9 2
3.1%
4.5 2
3.1%
4.7 1
1.6%
4.9 2
3.1%
5.0 2
3.1%
5.5 1
1.6%
ValueCountFrequency (%)
11.1 1
 
1.6%
10.4 1
 
1.6%
9.2 1
 
1.6%
9.1 4
6.2%
9.0 2
3.1%
8.9 1
 
1.6%
8.8 1
 
1.6%
8.6 1
 
1.6%
8.4 2
3.1%
8.3 2
3.1%

무기질
Real number (ℝ)

Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7578125
Minimum1.3
Maximum4.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:12.164903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.4
Q12.075
median2.9
Q33.325
95-th percentile3.9
Maximum4.2
Range2.9
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.83110267
Coefficient of variation (CV)0.30136301
Kurtosis-1.0500466
Mean2.7578125
Median Absolute Deviation (MAD)0.65
Skewness-0.31386699
Sum176.5
Variance0.69073165
MonotonicityNot monotonic
2023-12-12T20:08:12.369470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.9 7
 
10.9%
1.5 5
 
7.8%
3.7 5
 
7.8%
1.4 4
 
6.2%
3.1 4
 
6.2%
3.3 4
 
6.2%
3.0 3
 
4.7%
3.9 3
 
4.7%
2.8 2
 
3.1%
3.6 2
 
3.1%
Other values (18) 25
39.1%
ValueCountFrequency (%)
1.3 1
 
1.6%
1.4 4
6.2%
1.5 5
7.8%
1.6 2
 
3.1%
1.7 1
 
1.6%
1.9 2
 
3.1%
2.0 1
 
1.6%
2.1 1
 
1.6%
2.2 1
 
1.6%
2.3 1
 
1.6%
ValueCountFrequency (%)
4.2 1
 
1.6%
4.0 1
 
1.6%
3.9 3
4.7%
3.8 2
 
3.1%
3.7 5
7.8%
3.6 2
 
3.1%
3.5 1
 
1.6%
3.4 1
 
1.6%
3.3 4
6.2%
3.2 2
 
3.1%

무기질 최저
Real number (ℝ)

Distinct23
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3328125
Minimum0.9
Maximum3.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:12.601308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.2
Q11.875
median2.55
Q32.8
95-th percentile3.1
Maximum3.6
Range2.7
Interquartile range (IQR)0.925

Descriptive statistics

Standard deviation0.64735228
Coefficient of variation (CV)0.27749863
Kurtosis-0.70351494
Mean2.3328125
Median Absolute Deviation (MAD)0.4
Skewness-0.50373011
Sum149.3
Variance0.41906498
MonotonicityNot monotonic
2023-12-12T20:08:12.851664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2.7 9
14.1%
3.1 6
 
9.4%
2.8 6
 
9.4%
2.6 5
 
7.8%
1.2 4
 
6.2%
2.2 4
 
6.2%
3.0 3
 
4.7%
2.0 3
 
4.7%
1.5 3
 
4.7%
2.3 3
 
4.7%
Other values (13) 18
28.1%
ValueCountFrequency (%)
0.9 1
 
1.6%
1.1 1
 
1.6%
1.2 4
6.2%
1.3 2
3.1%
1.5 3
4.7%
1.6 2
3.1%
1.7 2
3.1%
1.8 1
 
1.6%
1.9 1
 
1.6%
2.0 3
4.7%
ValueCountFrequency (%)
3.6 1
 
1.6%
3.3 1
 
1.6%
3.1 6
9.4%
3.0 3
 
4.7%
2.9 1
 
1.6%
2.8 6
9.4%
2.7 9
14.1%
2.6 5
7.8%
2.5 2
 
3.1%
2.4 2
 
3.1%

무기질 최고
Real number (ℝ)

Distinct23
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5375
Minimum1
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:13.065627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q11.95
median2.75
Q33.025
95-th percentile3.4
Maximum3.7
Range2.7
Interquartile range (IQR)1.075

Descriptive statistics

Standard deviation0.70901228
Coefficient of variation (CV)0.27941371
Kurtosis-0.83472601
Mean2.5375
Median Absolute Deviation (MAD)0.45
Skewness-0.56775663
Sum162.4
Variance0.50269841
MonotonicityNot monotonic
2023-12-12T20:08:13.292718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.0 8
 
12.5%
3.4 6
 
9.4%
2.9 5
 
7.8%
1.8 4
 
6.2%
3.3 4
 
6.2%
2.4 4
 
6.2%
3.1 4
 
6.2%
2.2 3
 
4.7%
1.4 3
 
4.7%
2.6 3
 
4.7%
Other values (13) 20
31.2%
ValueCountFrequency (%)
1.0 1
 
1.6%
1.2 2
3.1%
1.3 2
3.1%
1.4 3
4.7%
1.5 1
 
1.6%
1.6 1
 
1.6%
1.7 2
3.1%
1.8 4
6.2%
2.0 1
 
1.6%
2.2 3
4.7%
ValueCountFrequency (%)
3.7 1
 
1.6%
3.4 6
9.4%
3.3 4
6.2%
3.2 1
 
1.6%
3.1 4
6.2%
3.0 8
12.5%
2.9 5
7.8%
2.8 3
 
4.7%
2.7 2
 
3.1%
2.6 3
 
4.7%

체지방량.1
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.628125
Minimum0.7
Maximum28.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:13.534761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile2.72
Q17
median14.7
Q319.25
95-th percentile22.41
Maximum28.6
Range27.9
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation7.0826519
Coefficient of variation (CV)0.51970847
Kurtosis-0.98690959
Mean13.628125
Median Absolute Deviation (MAD)5.45
Skewness-0.15021324
Sum872.2
Variance50.163958
MonotonicityNot monotonic
2023-12-12T20:08:13.800418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.9 3
 
4.7%
18.7 2
 
3.1%
0.7 2
 
3.1%
7.0 2
 
3.1%
21.1 2
 
3.1%
19.5 2
 
3.1%
16.9 2
 
3.1%
19.4 1
 
1.6%
12.4 1
 
1.6%
13.8 1
 
1.6%
Other values (46) 46
71.9%
ValueCountFrequency (%)
0.7 2
3.1%
1.5 1
1.6%
2.6 1
1.6%
3.4 1
1.6%
3.9 1
1.6%
4.1 1
1.6%
4.2 1
1.6%
4.5 1
1.6%
4.7 1
1.6%
4.8 1
1.6%
ValueCountFrequency (%)
28.6 1
 
1.6%
26.9 1
 
1.6%
23.7 1
 
1.6%
22.5 1
 
1.6%
21.9 3
4.7%
21.8 1
 
1.6%
21.7 1
 
1.6%
21.3 1
 
1.6%
21.1 2
3.1%
19.9 1
 
1.6%

체지방량 최저
Real number (ℝ)

Distinct43
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.78125
Minimum1.4
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:14.009987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.945
Q15.275
median9.25
Q310.15
95-th percentile11.4
Maximum11.6
Range10.2
Interquartile range (IQR)4.875

Descriptive statistics

Standard deviation3.1701923
Coefficient of variation (CV)0.40741427
Kurtosis-1.0485817
Mean7.78125
Median Absolute Deviation (MAD)2
Skewness-0.62701327
Sum498
Variance10.050119
MonotonicityNot monotonic
2023-12-12T20:08:14.242493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
10.1 5
 
7.8%
11.4 3
 
4.7%
8.7 3
 
4.7%
10.5 3
 
4.7%
8.5 2
 
3.1%
11.3 2
 
3.1%
6.2 2
 
3.1%
3.6 2
 
3.1%
10.3 2
 
3.1%
9.3 2
 
3.1%
Other values (33) 38
59.4%
ValueCountFrequency (%)
1.4 1
1.6%
1.8 1
1.6%
1.9 2
3.1%
2.2 1
1.6%
2.6 1
1.6%
2.7 1
1.6%
3.0 1
1.6%
3.2 1
1.6%
3.6 2
3.1%
4.1 1
1.6%
ValueCountFrequency (%)
11.6 1
 
1.6%
11.5 1
 
1.6%
11.4 3
4.7%
11.3 2
3.1%
11.2 1
 
1.6%
11.0 1
 
1.6%
10.8 1
 
1.6%
10.5 3
4.7%
10.4 1
 
1.6%
10.3 2
3.1%

체지방량 최고
Real number (ℝ)

Distinct48
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.873437
Minimum2.3
Maximum17.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:14.424560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.09
Q18.675
median13.65
Q315.25
95-th percentile17.1
Maximum17.3
Range15
Interquartile range (IQR)6.575

Descriptive statistics

Standard deviation4.5325014
Coefficient of variation (CV)0.38173456
Kurtosis-0.79238079
Mean11.873437
Median Absolute Deviation (MAD)3.05
Skewness-0.70157253
Sum759.9
Variance20.543569
MonotonicityNot monotonic
2023-12-12T20:08:14.636052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
15.2 3
 
4.7%
14.9 3
 
4.7%
15.1 2
 
3.1%
13.1 2
 
3.1%
6.0 2
 
3.1%
17.2 2
 
3.1%
16.9 2
 
3.1%
13.9 2
 
3.1%
15.8 2
 
3.1%
14.5 2
 
3.1%
Other values (38) 42
65.6%
ValueCountFrequency (%)
2.3 1
1.6%
2.8 1
1.6%
3.0 2
3.1%
3.6 1
1.6%
4.0 1
1.6%
4.5 1
1.6%
4.7 1
1.6%
5.5 1
1.6%
6.0 2
3.1%
7.0 1
1.6%
ValueCountFrequency (%)
17.3 1
1.6%
17.2 2
3.1%
17.1 2
3.1%
16.9 2
3.1%
16.8 1
1.6%
16.5 1
1.6%
16.3 1
1.6%
15.8 2
3.1%
15.7 1
1.6%
15.6 1
1.6%

내장 지방량
Real number (ℝ)

Distinct29
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6109375
Minimum0.1
Maximum4.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:14.825615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.675
median1.65
Q32.4
95-th percentile2.985
Maximum4.1
Range4
Interquartile range (IQR)1.725

Descriptive statistics

Standard deviation1.0204445
Coefficient of variation (CV)0.63344762
Kurtosis-0.68511011
Mean1.6109375
Median Absolute Deviation (MAD)0.9
Skewness0.25945926
Sum103.1
Variance1.041307
MonotonicityNot monotonic
2023-12-12T20:08:15.033855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.3 4
 
6.2%
2.2 4
 
6.2%
2.7 4
 
6.2%
1.9 4
 
6.2%
0.6 3
 
4.7%
2.1 3
 
4.7%
1.2 3
 
4.7%
2.9 3
 
4.7%
0.1 3
 
4.7%
1.4 2
 
3.1%
Other values (19) 31
48.4%
ValueCountFrequency (%)
0.1 3
4.7%
0.2 2
3.1%
0.3 4
6.2%
0.4 2
3.1%
0.5 2
3.1%
0.6 3
4.7%
0.7 2
3.1%
0.8 2
3.1%
1.0 2
3.1%
1.1 2
3.1%
ValueCountFrequency (%)
4.1 2
3.1%
3.0 2
3.1%
2.9 3
4.7%
2.8 1
 
1.6%
2.7 4
6.2%
2.6 2
3.1%
2.5 1
 
1.6%
2.4 2
3.1%
2.3 1
 
1.6%
2.2 4
6.2%

피하 지방량
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.017188
Minimum0.6
Maximum24.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:15.268942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2.52
Q16.35
median13.15
Q316.525
95-th percentile19.555
Maximum24.5
Range23.9
Interquartile range (IQR)10.175

Descriptive statistics

Standard deviation6.0936489
Coefficient of variation (CV)0.50707779
Kurtosis-1.0012277
Mean12.017188
Median Absolute Deviation (MAD)4.8
Skewness-0.20924105
Sum769.1
Variance37.132557
MonotonicityNot monotonic
2023-12-12T20:08:15.539480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.9 3
 
4.7%
12.4 2
 
3.1%
4.2 2
 
3.1%
19.3 2
 
3.1%
16.5 2
 
3.1%
16.3 2
 
3.1%
0.6 2
 
3.1%
3.2 1
 
1.6%
11.6 1
 
1.6%
10.4 1
 
1.6%
Other values (46) 46
71.9%
ValueCountFrequency (%)
0.6 2
3.1%
1.4 1
1.6%
2.4 1
1.6%
3.2 1
1.6%
3.6 1
1.6%
3.8 1
1.6%
3.9 1
1.6%
4.1 1
1.6%
4.2 2
3.1%
4.5 1
1.6%
ValueCountFrequency (%)
24.5 1
1.6%
22.8 1
1.6%
20.7 1
1.6%
19.6 1
1.6%
19.3 2
3.1%
19.2 1
1.6%
19.1 1
1.6%
18.7 1
1.6%
18.6 1
1.6%
18.5 1
1.6%

임피던스 좌
Real number (ℝ)

Distinct33
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.875
Minimum83
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:15.768195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile85.15
Q193
median101
Q3112
95-th percentile128
Maximum147
Range64
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.046973
Coefficient of variation (CV)0.13654409
Kurtosis0.75608391
Mean102.875
Median Absolute Deviation (MAD)9
Skewness0.95776
Sum6584
Variance197.31746
MonotonicityNot monotonic
2023-12-12T20:08:15.972070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
95 8
 
12.5%
101 4
 
6.2%
91 4
 
6.2%
93 4
 
6.2%
112 3
 
4.7%
122 3
 
4.7%
107 3
 
4.7%
128 2
 
3.1%
83 2
 
3.1%
86 2
 
3.1%
Other values (23) 29
45.3%
ValueCountFrequency (%)
83 2
3.1%
84 1
 
1.6%
85 1
 
1.6%
86 2
3.1%
87 1
 
1.6%
88 1
 
1.6%
90 1
 
1.6%
91 4
6.2%
92 2
3.1%
93 4
6.2%
ValueCountFrequency (%)
147 1
 
1.6%
140 1
 
1.6%
130 1
 
1.6%
128 2
3.1%
122 3
4.7%
121 1
 
1.6%
117 1
 
1.6%
116 1
 
1.6%
114 2
3.1%
113 1
 
1.6%

임피던스 우
Real number (ℝ)

Distinct33
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.875
Minimum83
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:16.178342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile85.15
Q193
median101
Q3112
95-th percentile128
Maximum147
Range64
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.046973
Coefficient of variation (CV)0.13654409
Kurtosis0.75608391
Mean102.875
Median Absolute Deviation (MAD)9
Skewness0.95776
Sum6584
Variance197.31746
MonotonicityNot monotonic
2023-12-12T20:08:16.370675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
95 8
 
12.5%
101 4
 
6.2%
91 4
 
6.2%
93 4
 
6.2%
112 3
 
4.7%
122 3
 
4.7%
107 3
 
4.7%
128 2
 
3.1%
83 2
 
3.1%
86 2
 
3.1%
Other values (23) 29
45.3%
ValueCountFrequency (%)
83 2
3.1%
84 1
 
1.6%
85 1
 
1.6%
86 2
3.1%
87 1
 
1.6%
88 1
 
1.6%
90 1
 
1.6%
91 4
6.2%
92 2
3.1%
93 4
6.2%
ValueCountFrequency (%)
147 1
 
1.6%
140 1
 
1.6%
130 1
 
1.6%
128 2
3.1%
122 3
4.7%
121 1
 
1.6%
117 1
 
1.6%
116 1
 
1.6%
114 2
3.1%
113 1
 
1.6%
Distinct41
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.407031
Minimum28.07
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:16.608878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.07
5-th percentile29.18
Q143.6525
median54.415
Q369.475
95-th percentile99.367
Maximum100
Range71.93
Interquartile range (IQR)25.8225

Descriptive statistics

Standard deviation19.723375
Coefficient of variation (CV)0.34357072
Kurtosis-0.37276467
Mean57.407031
Median Absolute Deviation (MAD)12.445
Skewness0.53980189
Sum3674.05
Variance389.01153
MonotonicityNot monotonic
2023-12-12T20:08:16.858780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
65.58 4
 
6.2%
29.18 4
 
6.2%
100.0 4
 
6.2%
45.4 3
 
4.7%
59.56 3
 
4.7%
38.06 3
 
4.7%
50.9 2
 
3.1%
52.74 2
 
3.1%
47.23 2
 
3.1%
79.8 2
 
3.1%
Other values (31) 35
54.7%
ValueCountFrequency (%)
28.07 1
 
1.6%
29.18 4
6.2%
29.29 1
 
1.6%
31.73 1
 
1.6%
32.96 1
 
1.6%
36.62 1
 
1.6%
38.06 3
4.7%
38.38 1
 
1.6%
40.15 1
 
1.6%
41.73 1
 
1.6%
ValueCountFrequency (%)
100.0 4
6.2%
95.78 1
 
1.6%
88.76 1
 
1.6%
83.14 1
 
1.6%
81.74 1
 
1.6%
81.06 1
 
1.6%
79.8 2
3.1%
76.12 1
 
1.6%
72.91 1
 
1.6%
71.91 2
3.1%
Distinct32
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.331
Minimum0.264
Maximum0.354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:17.118029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.264
5-th percentile0.2693
Q10.33
median0.339
Q30.34525
95-th percentile0.34985
Maximum0.354
Range0.09
Interquartile range (IQR)0.01525

Descriptive statistics

Standard deviation0.023757371
Coefficient of variation (CV)0.071774536
Kurtosis2.5938567
Mean0.331
Median Absolute Deviation (MAD)0.0075
Skewness-1.9324563
Sum21.184
Variance0.0005644127
MonotonicityNot monotonic
2023-12-12T20:08:17.315508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.347 7
 
10.9%
0.34 5
 
7.8%
0.343 4
 
6.2%
0.35 3
 
4.7%
0.339 3
 
4.7%
0.335 3
 
4.7%
0.33 3
 
4.7%
0.348 2
 
3.1%
0.269 2
 
3.1%
0.344 2
 
3.1%
Other values (22) 30
46.9%
ValueCountFrequency (%)
0.264 1
1.6%
0.267 1
1.6%
0.269 2
3.1%
0.271 1
1.6%
0.273 1
1.6%
0.275 1
1.6%
0.292 1
1.6%
0.317 1
1.6%
0.32 1
1.6%
0.322 2
3.1%
ValueCountFrequency (%)
0.354 1
 
1.6%
0.35 3
4.7%
0.349 1
 
1.6%
0.348 2
 
3.1%
0.347 7
10.9%
0.346 2
 
3.1%
0.345 2
 
3.1%
0.344 2
 
3.1%
0.343 4
6.2%
0.342 1
 
1.6%
Distinct35
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32920313
Minimum0.264
Maximum0.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:17.549774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.264
5-th percentile0.2693
Q10.32575
median0.338
Q30.34525
95-th percentile0.3497
Maximum0.352
Range0.088
Interquartile range (IQR)0.0195

Descriptive statistics

Standard deviation0.024474917
Coefficient of variation (CV)0.074345945
Kurtosis1.5400827
Mean0.32920313
Median Absolute Deviation (MAD)0.009
Skewness-1.6411781
Sum21.069
Variance0.00059902158
MonotonicityNot monotonic
2023-12-12T20:08:17.786489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.347 8
 
12.5%
0.338 4
 
6.2%
0.348 3
 
4.7%
0.345 3
 
4.7%
0.35 3
 
4.7%
0.336 3
 
4.7%
0.34 3
 
4.7%
0.339 2
 
3.1%
0.337 2
 
3.1%
0.269 2
 
3.1%
Other values (25) 31
48.4%
ValueCountFrequency (%)
0.264 1
1.6%
0.267 1
1.6%
0.269 2
3.1%
0.271 1
1.6%
0.273 1
1.6%
0.277 1
1.6%
0.284 1
1.6%
0.299 1
1.6%
0.303 1
1.6%
0.316 1
1.6%
ValueCountFrequency (%)
0.352 1
 
1.6%
0.35 3
 
4.7%
0.348 3
 
4.7%
0.347 8
12.5%
0.346 1
 
1.6%
0.345 3
 
4.7%
0.344 2
 
3.1%
0.343 1
 
1.6%
0.342 2
 
3.1%
0.341 2
 
3.1%
Distinct27
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3468125
Minimum0.27
Maximum0.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:17.995439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.27
5-th percentile0.2753
Q10.348
median0.353
Q30.35825
95-th percentile0.364
Maximum0.366
Range0.096
Interquartile range (IQR)0.01025

Descriptive statistics

Standard deviation0.024143667
Coefficient of variation (CV)0.069615908
Kurtosis5.2609436
Mean0.3468125
Median Absolute Deviation (MAD)0.005
Skewness-2.5348019
Sum22.196
Variance0.00058291667
MonotonicityNot monotonic
2023-12-12T20:08:18.711859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.352 6
 
9.4%
0.348 6
 
9.4%
0.356 4
 
6.2%
0.351 4
 
6.2%
0.353 4
 
6.2%
0.358 4
 
6.2%
0.355 3
 
4.7%
0.362 3
 
4.7%
0.36 3
 
4.7%
0.364 3
 
4.7%
Other values (17) 24
37.5%
ValueCountFrequency (%)
0.27 1
1.6%
0.273 1
1.6%
0.275 2
3.1%
0.277 1
1.6%
0.279 1
1.6%
0.336 1
1.6%
0.341 1
1.6%
0.342 1
1.6%
0.344 2
3.1%
0.345 1
1.6%
ValueCountFrequency (%)
0.366 1
 
1.6%
0.365 1
 
1.6%
0.364 3
4.7%
0.362 3
4.7%
0.361 3
4.7%
0.36 3
4.7%
0.359 2
3.1%
0.358 4
6.2%
0.357 1
 
1.6%
0.356 4
6.2%
Distinct25
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34707812
Minimum0.27
Maximum0.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:18.910508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.27
5-th percentile0.2753
Q10.348
median0.354
Q30.35825
95-th percentile0.364
Maximum0.366
Range0.096
Interquartile range (IQR)0.01025

Descriptive statistics

Standard deviation0.024122245
Coefficient of variation (CV)0.069500908
Kurtosis5.4106291
Mean0.34707812
Median Absolute Deviation (MAD)0.0055
Skewness-2.5737311
Sum22.213
Variance0.00058188269
MonotonicityNot monotonic
2023-12-12T20:08:19.084430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.348 6
 
9.4%
0.354 6
 
9.4%
0.352 5
 
7.8%
0.356 5
 
7.8%
0.351 4
 
6.2%
0.36 4
 
6.2%
0.361 3
 
4.7%
0.362 3
 
4.7%
0.358 3
 
4.7%
0.364 3
 
4.7%
Other values (15) 22
34.4%
ValueCountFrequency (%)
0.27 1
 
1.6%
0.273 1
 
1.6%
0.275 2
 
3.1%
0.277 1
 
1.6%
0.279 1
 
1.6%
0.339 1
 
1.6%
0.344 2
 
3.1%
0.345 2
 
3.1%
0.348 6
9.4%
0.349 2
 
3.1%
ValueCountFrequency (%)
0.366 1
 
1.6%
0.365 1
 
1.6%
0.364 3
4.7%
0.362 3
4.7%
0.361 3
4.7%
0.36 4
6.2%
0.359 1
 
1.6%
0.358 3
4.7%
0.357 2
 
3.1%
0.356 5
7.8%
Distinct33
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36517188
Minimum0.344
Maximum0.405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:19.266675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.344
5-th percentile0.349
Q10.354
median0.361
Q30.37325
95-th percentile0.39795
Maximum0.405
Range0.061
Interquartile range (IQR)0.01925

Descriptive statistics

Standard deviation0.013915339
Coefficient of variation (CV)0.038106272
Kurtosis1.3268921
Mean0.36517188
Median Absolute Deviation (MAD)0.008
Skewness1.1742938
Sum23.371
Variance0.00019363666
MonotonicityNot monotonic
2023-12-12T20:08:19.440533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.36 9
 
14.1%
0.352 5
 
7.8%
0.353 4
 
6.2%
0.363 3
 
4.7%
0.354 3
 
4.7%
0.374 3
 
4.7%
0.375 3
 
4.7%
0.381 2
 
3.1%
0.403 2
 
3.1%
0.361 2
 
3.1%
Other values (23) 28
43.8%
ValueCountFrequency (%)
0.344 1
 
1.6%
0.346 1
 
1.6%
0.347 1
 
1.6%
0.349 2
 
3.1%
0.352 5
7.8%
0.353 4
6.2%
0.354 3
4.7%
0.355 1
 
1.6%
0.357 1
 
1.6%
0.358 1
 
1.6%
ValueCountFrequency (%)
0.405 1
 
1.6%
0.403 2
3.1%
0.399 1
 
1.6%
0.392 1
 
1.6%
0.381 2
3.1%
0.38 1
 
1.6%
0.378 1
 
1.6%
0.377 1
 
1.6%
0.375 3
4.7%
0.374 3
4.7%
Distinct34
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37845312
Minimum0.307
Maximum0.403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:19.650510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.307
5-th percentile0.31315
Q10.37775
median0.387
Q30.39425
95-th percentile0.398
Maximum0.403
Range0.096
Interquartile range (IQR)0.0165

Descriptive statistics

Standard deviation0.025210813
Coefficient of variation (CV)0.066615417
Kurtosis2.5920643
Mean0.37845312
Median Absolute Deviation (MAD)0.008
Skewness-1.9308038
Sum24.221
Variance0.00063558507
MonotonicityNot monotonic
2023-12-12T20:08:19.824214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.395 7
 
10.9%
0.391 4
 
6.2%
0.388 4
 
6.2%
0.396 4
 
6.2%
0.385 3
 
4.7%
0.387 3
 
4.7%
0.398 2
 
3.1%
0.399 2
 
3.1%
0.376 2
 
3.1%
0.384 2
 
3.1%
Other values (24) 31
48.4%
ValueCountFrequency (%)
0.307 1
1.6%
0.311 1
1.6%
0.313 2
3.1%
0.314 1
1.6%
0.317 1
1.6%
0.319 1
1.6%
0.337 1
1.6%
0.364 1
1.6%
0.367 1
1.6%
0.369 2
3.1%
ValueCountFrequency (%)
0.403 1
 
1.6%
0.399 2
 
3.1%
0.398 2
 
3.1%
0.396 4
6.2%
0.395 7
10.9%
0.394 1
 
1.6%
0.393 2
 
3.1%
0.392 1
 
1.6%
0.391 4
6.2%
0.39 1
 
1.6%
Distinct37
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37653125
Minimum0.307
Maximum0.401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:19.997782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.307
5-th percentile0.31315
Q10.37275
median0.386
Q30.394
95-th percentile0.39785
Maximum0.401
Range0.094
Interquartile range (IQR)0.02125

Descriptive statistics

Standard deviation0.025957211
Coefficient of variation (CV)0.068937733
Kurtosis1.54242
Mean0.37653125
Median Absolute Deviation (MAD)0.009
Skewness-1.6404989
Sum24.098
Variance0.00067377679
MonotonicityNot monotonic
2023-12-12T20:08:20.188967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.395 6
 
9.4%
0.379 4
 
6.2%
0.396 3
 
4.7%
0.388 3
 
4.7%
0.385 3
 
4.7%
0.392 3
 
4.7%
0.386 3
 
4.7%
0.389 2
 
3.1%
0.363 2
 
3.1%
0.313 2
 
3.1%
Other values (27) 33
51.6%
ValueCountFrequency (%)
0.307 1
1.6%
0.311 1
1.6%
0.313 2
3.1%
0.314 1
1.6%
0.317 1
1.6%
0.321 1
1.6%
0.329 1
1.6%
0.344 1
1.6%
0.349 1
1.6%
0.363 2
3.1%
ValueCountFrequency (%)
0.401 1
 
1.6%
0.399 2
 
3.1%
0.398 1
 
1.6%
0.397 2
 
3.1%
0.396 3
4.7%
0.395 6
9.4%
0.394 2
 
3.1%
0.393 2
 
3.1%
0.392 3
4.7%
0.391 1
 
1.6%
Distinct29
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39473437
Minimum0.313
Maximum0.415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:20.368652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.313
5-th percentile0.31915
Q10.396
median0.4015
Q30.407
95-th percentile0.412
Maximum0.415
Range0.102
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.025557431
Coefficient of variation (CV)0.064745897
Kurtosis5.2785393
Mean0.39473437
Median Absolute Deviation (MAD)0.0055
Skewness-2.5408216
Sum25.263
Variance0.00065318229
MonotonicityNot monotonic
2023-12-12T20:08:20.549098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.4 6
 
9.4%
0.396 5
 
7.8%
0.403 4
 
6.2%
0.401 4
 
6.2%
0.407 4
 
6.2%
0.404 3
 
4.7%
0.409 3
 
4.7%
0.41 3
 
4.7%
0.399 3
 
4.7%
0.412 2
 
3.1%
Other values (19) 27
42.2%
ValueCountFrequency (%)
0.313 1
1.6%
0.317 1
1.6%
0.319 2
3.1%
0.32 1
1.6%
0.323 1
1.6%
0.383 1
1.6%
0.388 1
1.6%
0.39 1
1.6%
0.392 2
3.1%
0.393 1
1.6%
ValueCountFrequency (%)
0.415 1
 
1.6%
0.414 1
 
1.6%
0.413 1
 
1.6%
0.412 2
3.1%
0.411 2
3.1%
0.41 3
4.7%
0.409 3
4.7%
0.408 2
3.1%
0.407 4
6.2%
0.406 2
3.1%
Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39501563
Minimum0.313
Maximum0.415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:20.711809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.313
5-th percentile0.31915
Q10.396
median0.402
Q30.407
95-th percentile0.412
Maximum0.415
Range0.102
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.025533975
Coefficient of variation (CV)0.064640418
Kurtosis5.4296246
Mean0.39501563
Median Absolute Deviation (MAD)0.0055
Skewness-2.5799162
Sum25.281
Variance0.00065198388
MonotonicityNot monotonic
2023-12-12T20:08:20.882170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.396 6
 
9.4%
0.4 5
 
7.8%
0.401 4
 
6.2%
0.403 4
 
6.2%
0.409 4
 
6.2%
0.406 3
 
4.7%
0.399 3
 
4.7%
0.402 3
 
4.7%
0.405 3
 
4.7%
0.407 3
 
4.7%
Other values (18) 26
40.6%
ValueCountFrequency (%)
0.313 1
 
1.6%
0.317 1
 
1.6%
0.319 2
 
3.1%
0.32 1
 
1.6%
0.323 1
 
1.6%
0.386 1
 
1.6%
0.392 2
 
3.1%
0.393 2
 
3.1%
0.396 6
9.4%
0.397 1
 
1.6%
ValueCountFrequency (%)
0.415 1
 
1.6%
0.414 1
 
1.6%
0.413 1
 
1.6%
0.412 2
3.1%
0.411 2
3.1%
0.41 3
4.7%
0.409 4
6.2%
0.408 1
 
1.6%
0.407 3
4.7%
0.406 3
4.7%

세포량
Real number (ℝ)

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.957813
Minimum11.3
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:21.110378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.3
5-th percentile14.005
Q119.275
median23.85
Q326.125
95-th percentile30.71
Maximum36
Range24.7
Interquartile range (IQR)6.85

Descriptive statistics

Standard deviation5.4439949
Coefficient of variation (CV)0.23713039
Kurtosis-0.55663337
Mean22.957813
Median Absolute Deviation (MAD)4.05
Skewness-0.17650725
Sum1469.3
Variance29.637081
MonotonicityNot monotonic
2023-12-12T20:08:21.331922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.1 3
 
4.7%
19.8 2
 
3.1%
24.4 2
 
3.1%
19.2 2
 
3.1%
22.1 2
 
3.1%
21.2 2
 
3.1%
23.0 2
 
3.1%
30.8 2
 
3.1%
30.2 2
 
3.1%
15.3 2
 
3.1%
Other values (42) 43
67.2%
ValueCountFrequency (%)
11.3 1
 
1.6%
13.5 1
 
1.6%
13.7 1
 
1.6%
13.9 1
 
1.6%
14.6 1
 
1.6%
14.7 1
 
1.6%
15.0 1
 
1.6%
15.3 2
3.1%
15.6 1
 
1.6%
16.1 3
4.7%
ValueCountFrequency (%)
36.0 1
1.6%
31.7 1
1.6%
30.8 2
3.1%
30.2 2
3.1%
29.9 1
1.6%
29.4 1
1.6%
29.3 1
1.6%
28.8 1
1.6%
28.7 1
1.6%
28.2 1
1.6%

기초대사량
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1041.8281
Minimum805
Maximum1228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:21.545443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum805
5-th percentile859.2
Q1980.5
median1048
Q31113
95-th percentile1204.55
Maximum1228
Range423
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation99.892888
Coefficient of variation (CV)0.095882311
Kurtosis-0.32358589
Mean1041.8281
Median Absolute Deviation (MAD)67.5
Skewness-0.21961652
Sum66677
Variance9978.589
MonotonicityNot monotonic
2023-12-12T20:08:21.765059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1022 3
 
4.7%
1138 2
 
3.1%
1040 2
 
3.1%
986 2
 
3.1%
1047 1
 
1.6%
1063 1
 
1.6%
1218 1
 
1.6%
1019 1
 
1.6%
1071 1
 
1.6%
1066 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
805 1
1.6%
838 1
1.6%
840 1
1.6%
855 1
1.6%
883 1
1.6%
903 1
1.6%
921 1
1.6%
924 1
1.6%
929 1
1.6%
931 1
1.6%
ValueCountFrequency (%)
1228 1
1.6%
1218 1
1.6%
1209 1
1.6%
1205 1
1.6%
1202 1
1.6%
1199 1
1.6%
1195 1
1.6%
1162 1
1.6%
1138 2
3.1%
1137 1
1.6%

1일 필요열량
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1604.4688
Minimum1240
Maximum1891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:21.959907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1240
5-th percentile1323.45
Q11510.25
median1613.5
Q31713.75
95-th percentile1855.25
Maximum1891
Range651
Interquartile range (IQR)203.5

Descriptive statistics

Standard deviation153.7771
Coefficient of variation (CV)0.095843
Kurtosis-0.32620819
Mean1604.4688
Median Absolute Deviation (MAD)104
Skewness-0.21823351
Sum102686
Variance23647.396
MonotonicityNot monotonic
2023-12-12T20:08:22.160968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1574 3
 
4.7%
1753 2
 
3.1%
1602 2
 
3.1%
1518 2
 
3.1%
1612 1
 
1.6%
1637 1
 
1.6%
1876 1
 
1.6%
1569 1
 
1.6%
1649 1
 
1.6%
1642 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
1240 1
1.6%
1291 1
1.6%
1294 1
1.6%
1317 1
1.6%
1360 1
1.6%
1391 1
1.6%
1418 1
1.6%
1423 1
1.6%
1431 1
1.6%
1434 1
1.6%
ValueCountFrequency (%)
1891 1
1.6%
1876 1
1.6%
1862 1
1.6%
1856 1
1.6%
1851 1
1.6%
1846 1
1.6%
1840 1
1.6%
1789 1
1.6%
1753 2
3.1%
1751 1
1.6%

신체연령(세)
Real number (ℝ)

Distinct27
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.8125
Minimum8
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:22.348026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q111
median54.5
Q361.5
95-th percentile77.85
Maximum84
Range76
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation27.239021
Coefficient of variation (CV)0.63623992
Kurtosis-1.6845861
Mean42.8125
Median Absolute Deviation (MAD)19
Skewness-0.23273807
Sum2740
Variance741.96429
MonotonicityNot monotonic
2023-12-12T20:08:22.549830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
12 8
 
12.5%
8 7
 
10.9%
11 6
 
9.4%
10 4
 
6.2%
59 4
 
6.2%
61 4
 
6.2%
57 3
 
4.7%
60 3
 
4.7%
51 2
 
3.1%
73 2
 
3.1%
Other values (17) 21
32.8%
ValueCountFrequency (%)
8 7
10.9%
10 4
6.2%
11 6
9.4%
12 8
12.5%
50 2
 
3.1%
51 2
 
3.1%
53 1
 
1.6%
54 2
 
3.1%
55 1
 
1.6%
57 3
 
4.7%
ValueCountFrequency (%)
84 1
1.6%
80 2
3.1%
78 1
1.6%
77 1
1.6%
75 1
1.6%
74 1
1.6%
73 2
3.1%
72 1
1.6%
71 2
3.1%
69 1
1.6%

최고혈압
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum0
Maximum187
Zeros27
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:22.751672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103.5
Q3120.75
95-th percentile142.85
Maximum187
Range187
Interquartile range (IQR)120.75

Descriptive statistics

Standard deviation62.445659
Coefficient of variation (CV)0.88575403
Kurtosis-1.7493782
Mean70.5
Median Absolute Deviation (MAD)37.5
Skewness-0.13922446
Sum4512
Variance3899.4603
MonotonicityNot monotonic
2023-12-12T20:08:22.947115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 27
42.2%
118 3
 
4.7%
108 2
 
3.1%
111 2
 
3.1%
104 2
 
3.1%
110 2
 
3.1%
136 2
 
3.1%
96 2
 
3.1%
115 1
 
1.6%
140 1
 
1.6%
Other values (20) 20
31.2%
ValueCountFrequency (%)
0 27
42.2%
92 1
 
1.6%
96 2
 
3.1%
101 1
 
1.6%
103 1
 
1.6%
104 2
 
3.1%
107 1
 
1.6%
108 2
 
3.1%
109 1
 
1.6%
110 2
 
3.1%
ValueCountFrequency (%)
187 1
1.6%
157 1
1.6%
145 1
1.6%
143 1
1.6%
142 1
1.6%
140 1
1.6%
139 1
1.6%
136 2
3.1%
135 1
1.6%
134 1
1.6%

최저혈압
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.9375
Minimum0
Maximum117
Zeros27
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:23.165664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median58.5
Q372.25
95-th percentile88.55
Maximum117
Range117
Interquartile range (IQR)72.25

Descriptive statistics

Standard deviation37.550337
Coefficient of variation (CV)0.89538806
Kurtosis-1.6593863
Mean41.9375
Median Absolute Deviation (MAD)26.5
Skewness-0.071267691
Sum2684
Variance1410.0278
MonotonicityNot monotonic
2023-12-12T20:08:23.369581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 27
42.2%
62 3
 
4.7%
68 3
 
4.7%
51 2
 
3.1%
64 2
 
3.1%
78 2
 
3.1%
72 2
 
3.1%
81 2
 
3.1%
84 2
 
3.1%
73 2
 
3.1%
Other values (17) 17
26.6%
ValueCountFrequency (%)
0 27
42.2%
51 2
 
3.1%
55 1
 
1.6%
57 1
 
1.6%
58 1
 
1.6%
59 1
 
1.6%
62 3
 
4.7%
64 2
 
3.1%
65 1
 
1.6%
66 1
 
1.6%
ValueCountFrequency (%)
117 1
1.6%
98 1
1.6%
94 1
1.6%
89 1
1.6%
86 1
1.6%
84 2
3.1%
82 1
1.6%
81 2
3.1%
79 1
1.6%
78 2
3.1%

맥박
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.25
Minimum0
Maximum107
Zeros27
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:23.536317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65.5
Q380
95-th percentile98
Maximum107
Range107
Interquartile range (IQR)80

Descriptive statistics

Standard deviation40.393304
Coefficient of variation (CV)0.89266971
Kurtosis-1.7745766
Mean45.25
Median Absolute Deviation (MAD)32
Skewness-0.11174871
Sum2896
Variance1631.619
MonotonicityNot monotonic
2023-12-12T20:08:23.701121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 27
42.2%
76 3
 
4.7%
64 3
 
4.7%
69 3
 
4.7%
71 2
 
3.1%
104 2
 
3.1%
98 2
 
3.1%
68 2
 
3.1%
80 2
 
3.1%
82 2
 
3.1%
Other values (15) 16
25.0%
ValueCountFrequency (%)
0 27
42.2%
46 1
 
1.6%
49 1
 
1.6%
64 3
 
4.7%
67 1
 
1.6%
68 2
 
3.1%
69 3
 
4.7%
70 1
 
1.6%
71 2
 
3.1%
72 1
 
1.6%
ValueCountFrequency (%)
107 1
1.6%
104 2
3.1%
98 2
3.1%
97 1
1.6%
91 1
1.6%
90 1
1.6%
88 1
1.6%
87 1
1.6%
83 1
1.6%
82 2
3.1%

체지방률
Real number (ℝ)

Distinct58
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.142188
Minimum3
Maximum39.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:23.908415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10.945
Q121.05
median28.35
Q333.1
95-th percentile36.94
Maximum39.9
Range36.9
Interquartile range (IQR)12.05

Descriptive statistics

Standard deviation8.7333661
Coefficient of variation (CV)0.33407174
Kurtosis0.16752259
Mean26.142188
Median Absolute Deviation (MAD)5.5
Skewness-0.77830116
Sum1673.1
Variance76.271684
MonotonicityNot monotonic
2023-12-12T20:08:24.172683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.7 2
 
3.1%
33.4 2
 
3.1%
26.1 2
 
3.1%
3.0 2
 
3.1%
33.1 2
 
3.1%
19.7 2
 
3.1%
10.6 1
 
1.6%
22.8 1
 
1.6%
28.3 1
 
1.6%
31.7 1
 
1.6%
Other values (48) 48
75.0%
ValueCountFrequency (%)
3.0 2
3.1%
6.2 1
1.6%
10.6 1
1.6%
12.9 1
1.6%
13.0 1
1.6%
13.6 1
1.6%
15.3 1
1.6%
16.0 1
1.6%
16.7 1
1.6%
17.2 1
1.6%
ValueCountFrequency (%)
39.9 1
1.6%
39.1 1
1.6%
38.4 1
1.6%
37.0 1
1.6%
36.6 1
1.6%
36.3 1
1.6%
36.2 1
1.6%
34.8 1
1.6%
34.7 1
1.6%
33.9 1
1.6%

임피던스
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean506.35938
Minimum367
Maximum655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:24.411104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367
5-th percentile396.15
Q1440.5
median522
Q3569
95-th percentile599.4
Maximum655
Range288
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation71.026346
Coefficient of variation (CV)0.14026865
Kurtosis-1.0345395
Mean506.35938
Median Absolute Deviation (MAD)57
Skewness-0.21208245
Sum32407
Variance5044.7418
MonotonicityNot monotonic
2023-12-12T20:08:24.684063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
550 2
 
3.1%
549 2
 
3.1%
413 2
 
3.1%
569 2
 
3.1%
584 2
 
3.1%
470 1
 
1.6%
518 1
 
1.6%
372 1
 
1.6%
602 1
 
1.6%
441 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
367 1
1.6%
372 1
1.6%
385 1
1.6%
396 1
1.6%
397 1
1.6%
399 1
1.6%
413 2
3.1%
415 1
1.6%
418 1
1.6%
428 1
1.6%
ValueCountFrequency (%)
655 1
1.6%
605 1
1.6%
602 1
1.6%
600 1
1.6%
596 1
1.6%
595 1
1.6%
591 1
1.6%
589 1
1.6%
588 1
1.6%
584 2
3.1%
Distinct10
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
적정
12 
비만
10 
경계형 비만
고도 비만
과지방
Other values (5)
20 

Length

Max length8
Median length7
Mean length3.640625
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row적정
2nd row경계형 비만
3rd row저지방 근육형
4th row중증 고도 비만
5th row과체중

Common Values

ValueCountFrequency (%)
적정 12
18.8%
비만 10
15.6%
경계형 비만 8
12.5%
고도 비만 7
10.9%
과지방 7
10.9%
저지방 근육형 6
9.4%
과체중 5
7.8%
마름 4
 
6.2%
저지방 4
 
6.2%
중증 고도 비만 1
 
1.6%

Length

2023-12-12T20:08:24.937871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:08:25.183660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비만 26
29.9%
적정 12
13.8%
저지방 10
 
11.5%
경계형 8
 
9.2%
고도 8
 
9.2%
과지방 7
 
8.0%
근육형 6
 
6.9%
과체중 5
 
5.7%
마름 4
 
4.6%
중증 1
 
1.1%

신장
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.45625
Minimum101
Maximum168.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:25.936484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile115.45
Q1139.025
median149.75
Q3156.9
95-th percentile164.985
Maximum168.2
Range67.2
Interquartile range (IQR)17.875

Descriptive statistics

Standard deviation15.518365
Coefficient of variation (CV)0.10595905
Kurtosis0.33651703
Mean146.45625
Median Absolute Deviation (MAD)7.95
Skewness-0.95165308
Sum9373.2
Variance240.81964
MonotonicityNot monotonic
2023-12-12T20:08:26.159646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.0 3
 
4.7%
149.5 2
 
3.1%
115.0 2
 
3.1%
126.2 2
 
3.1%
151.5 2
 
3.1%
148.3 2
 
3.1%
155.2 2
 
3.1%
163.8 1
 
1.6%
163.9 1
 
1.6%
164.7 1
 
1.6%
Other values (46) 46
71.9%
ValueCountFrequency (%)
101.0 1
1.6%
110.0 1
1.6%
115.0 2
3.1%
118.0 1
1.6%
120.0 1
1.6%
122.0 1
1.6%
126.2 2
3.1%
127.0 1
1.6%
132.0 1
1.6%
132.1 1
1.6%
ValueCountFrequency (%)
168.2 1
1.6%
165.9 1
1.6%
165.3 1
1.6%
165.0 1
1.6%
164.9 1
1.6%
164.7 1
1.6%
163.9 1
1.6%
163.8 1
1.6%
163.5 1
1.6%
162.1 1
1.6%

체중
Real number (ℝ)

Distinct58
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.265625
Minimum21.6
Maximum74.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:26.430492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.6
5-th percentile24.415
Q135.375
median51.2
Q358.85
95-th percentile68.385
Maximum74.5
Range52.9
Interquartile range (IQR)23.475

Descriptive statistics

Standard deviation14.854343
Coefficient of variation (CV)0.30776236
Kurtosis-1.0647673
Mean48.265625
Median Absolute Deviation (MAD)11.3
Skewness-0.32809461
Sum3089
Variance220.6515
MonotonicityNot monotonic
2023-12-12T20:08:26.667213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.7 2
 
3.1%
63.5 2
 
3.1%
64.7 2
 
3.1%
69.0 2
 
3.1%
65.5 2
 
3.1%
51.2 2
 
3.1%
28.7 1
 
1.6%
41.2 1
 
1.6%
51.9 1
 
1.6%
50.0 1
 
1.6%
Other values (48) 48
75.0%
ValueCountFrequency (%)
21.6 1
1.6%
24.0 1
1.6%
24.3 1
1.6%
24.4 1
1.6%
24.5 1
1.6%
25.4 1
1.6%
25.5 1
1.6%
25.7 1
1.6%
26.2 1
1.6%
26.3 1
1.6%
ValueCountFrequency (%)
74.5 1
1.6%
69.0 2
3.1%
68.4 1
1.6%
68.3 1
1.6%
67.5 1
1.6%
66.1 1
1.6%
65.5 2
3.1%
64.7 2
3.1%
63.6 1
1.6%
63.5 2
3.1%

체질량지수
Real number (ℝ)

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.971875
Minimum13.6
Maximum30.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T20:08:26.875998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.6
5-th percentile14.15
Q119.05
median22.5
Q324.9
95-th percentile28.42
Maximum30.3
Range16.7
Interquartile range (IQR)5.85

Descriptive statistics

Standard deviation4.208173
Coefficient of variation (CV)0.19152544
Kurtosis-0.57149392
Mean21.971875
Median Absolute Deviation (MAD)2.95
Skewness-0.2161467
Sum1406.2
Variance17.70872
MonotonicityNot monotonic
2023-12-12T20:08:27.094575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.2 3
 
4.7%
21.3 2
 
3.1%
25.4 2
 
3.1%
25.7 2
 
3.1%
23.8 2
 
3.1%
26.5 2
 
3.1%
24.9 2
 
3.1%
22.5 2
 
3.1%
19.5 2
 
3.1%
17.9 2
 
3.1%
Other values (42) 43
67.2%
ValueCountFrequency (%)
13.6 1
1.6%
13.8 1
1.6%
13.9 1
1.6%
14.0 1
1.6%
15.0 1
1.6%
15.5 1
1.6%
16.0 1
1.6%
16.1 1
1.6%
16.2 1
1.6%
17.6 2
3.1%
ValueCountFrequency (%)
30.3 1
1.6%
30.0 1
1.6%
29.6 1
1.6%
28.6 1
1.6%
27.4 1
1.6%
27.3 1
1.6%
26.9 1
1.6%
26.7 1
1.6%
26.5 2
3.1%
25.7 2
3.1%

Sample

연번최고평균체중최저평균체중표준체중체지방량최저체지방량최고체지방량근육량최저근육량근육량 최고골격근골격근 최저최고근육량체수분량최저 체수분량최고 체수분량세포내 수분최저 세포내 수분최고 세포내 수분세포외 수분최저 세포외 수분최고 세포외 수분단백질단백질 최저단백질 최고무기질무기질 최저무기질 최고체지방량.1체지방량 최저체지방량 최고내장 지방량피하 지방량임피던스 좌임피던스 우왼손 세포외액총체액비오른손 세포외액총채액비왼다리 세포외액총체액비오른다리 세포외액총체액비몸통 세포외액총체액비왼손 세포외수분총수분비오른손 세포외수분총수분비왼다리 세포외수분총수분비오른다리 세포외수분총수분비몸통 세포외수분총수분비세포량기초대사량1일 필요열량신체연령(세)최고혈압최저혈압맥박체지방률임피던스적정 체중 정도신장체중체질량지수
02445.255.350.337.935.240.234.932.437.220.919.422.327.325.328.916.116.117.711.29.611.27.67.08.03.02.73.013.810.115.11.412.410110150.740.3470.3470.3550.3570.3690.3960.3960.4040.40625.01047161251108707126.7470적정154.751.721.6
12152.063.557.847.746.249.144.042.845.626.425.627.334.333.235.320.420.422.313.912.013.99.79.210.43.73.33.415.88.711.62.313.5959545.40.3350.3380.3530.3530.3640.3830.3860.4010.40131.71209186251118726824.9436경계형 비만162.163.524.2
23133.140.436.828.627.631.226.725.529.016.015.317.420.619.822.512.512.413.58.17.18.26.15.15.81.92.02.24.55.59.20.34.211211271.910.3290.3320.3410.3480.3530.3760.3790.3880.39619.5113817531100013.6571저지방 근육형143.133.116.2
33215.318.717.020.414.715.518.813.714.511.28.28.714.710.511.18.88.99.75.95.05.84.12.73.01.60.91.07.01.42.31.06.010310356.030.2640.2640.270.270.4030.3070.3070.3130.31313.58051240800025.5435중증 고도 비만101.027.426.9
43321.025.723.420.417.920.218.916.618.811.39.911.214.712.814.58.88.99.75.95.05.84.23.23.71.51.21.45.03.25.50.44.612112159.560.2710.2710.2770.2770.3920.3140.3140.320.3213.710321589800019.7535과체중120.025.417.6
53427.633.730.721.923.126.220.521.424.412.312.814.615.816.618.89.69.510.46.25.46.34.74.24.91.41.61.82.64.57.50.22.413013095.780.3220.3250.3520.3520.3490.3690.3720.40.415.0105916311000010.6655저지방 근육형133.024.513.9
63619.824.322.122.619.120.221.017.818.812.610.611.216.313.714.59.99.810.76.45.66.54.73.53.91.61.21.34.71.93.00.64.111011064.850.2920.3030.3450.3450.360.3370.3490.3930.39315.39031391800017.2539비만115.027.320.6
73931.438.334.927.726.029.425.624.027.315.314.416.319.918.721.212.112.013.17.86.87.95.74.85.52.11.92.07.85.48.90.77.110610666.620.3280.3230.3480.3480.3460.3750.370.3960.39618.8111617191200022.0569적정137.035.518.9
84144.854.749.838.834.839.835.532.136.821.319.222.027.925.028.616.816.518.111.19.811.47.66.97.93.32.72.918.710.014.92.216.5949443.680.3380.3390.3540.3540.3540.3860.3870.4020.40225.7106216355400032.5497경계형 비만154.057.524.2
92637.445.741.633.930.935.131.428.732.618.817.219.524.422.325.314.914.716.09.58.49.77.05.86.62.52.22.49.36.410.60.88.510410461.320.330.3280.3480.3480.3470.3780.3760.3960.39623.0119918461200021.5584적정149.543.219.3
연번최고평균체중최저평균체중표준체중체지방량최저체지방량최고체지방량근육량최저근육량근육량 최고골격근골격근 최저최고근육량체수분량최저 체수분량최고 체수분량세포내 수분최저 세포내 수분최고 세포내 수분세포외 수분최저 세포외 수분최고 세포외 수분단백질단백질 최저단백질 최고무기질무기질 최저무기질 최고체지방량.1체지방량 최저체지방량 최고내장 지방량피하 지방량임피던스 좌임피던스 우왼손 세포외액총체액비오른손 세포외액총채액비왼다리 세포외액총체액비오른다리 세포외액총체액비몸통 세포외액총체액비왼손 세포외수분총수분비오른손 세포외수분총수분비왼다리 세포외수분총수분비오른다리 세포외수분총수분비몸통 세포외수분총수분비세포량기초대사량1일 필요열량신체연령(세)최고혈압최저혈압맥박체지방률임피던스적정 체중 정도신장체중체질량지수
54647.257.752.544.636.742.040.733.838.824.420.223.232.126.430.219.219.020.812.911.313.18.67.38.43.92.83.123.710.515.83.020.7909040.150.3440.3430.3520.3520.360.3930.3920.4010.40129.31109170858133846834.7431비만158.168.327.3
552735.843.739.834.329.633.631.627.431.218.916.418.724.721.324.215.014.916.29.78.59.86.95.56.32.72.12.312.16.210.11.111.010510569.250.3170.3160.3480.3480.3520.3640.3630.3960.39623.0120218511200026.1596적정148.346.421.1
562924.930.427.723.323.625.021.922.023.413.113.214.016.817.018.010.310.111.16.55.76.75.14.44.91.41.61.60.72.64.00.10.614714781.060.2750.2990.3480.3480.3530.3190.3440.3960.39616.19811511100003.0589저지방132.124.013.8
573018.122.220.216.715.417.415.414.316.29.28.59.712.011.112.57.47.27.94.64.14.83.42.83.21.31.11.24.92.74.70.44.512812865.580.2690.2690.2750.2750.3710.3130.3130.3190.31911.39791508800022.7536마름110.021.617.9
58144.554.449.540.334.639.636.931.936.622.119.121.929.024.928.516.817.018.612.210.412.07.96.97.93.42.72.918.59.914.92.216.310710759.560.3430.3470.3640.3640.3810.3910.3950.4130.41326.1972149774139728831.5397경계형 비만153.658.824.9
59545.555.650.638.435.440.435.232.637.421.119.522.427.625.529.116.416.217.811.29.811.47.67.08.03.22.73.016.910.115.21.915.0999954.260.340.3390.360.360.3590.3880.3870.4090.40925.310221574601871179830.6487과지방155.255.323.0
604936.844.940.936.830.434.533.928.232.120.316.919.226.521.924.815.915.917.410.69.110.67.45.76.52.92.22.413.06.310.41.211.8959549.070.3380.3380.3490.3490.360.3850.3850.3970.39724.5122818911200026.1521적정149.349.822.3
615023.628.926.331.522.724.029.221.222.417.512.713.422.716.317.313.613.714.99.17.89.06.54.24.72.31.51.59.42.23.61.28.2959554.570.3220.3170.3440.3440.3630.3690.3640.3920.39221.210901679800023.0478비만127.040.925.4
624625.731.428.622.821.524.421.320.022.712.712.013.616.415.517.69.69.910.86.85.66.54.94.04.51.51.51.71.54.17.00.11.4122122100.00.3330.3170.3520.3520.3780.380.3630.40.415.310681645100006.2600저지방133.524.313.6
634728.134.431.328.323.326.426.321.524.515.712.914.720.416.719.012.412.313.48.07.08.15.94.35.02.01.71.86.74.98.00.56.210510565.580.3360.3310.3480.3490.3520.3840.3790.3970.39819.2112617341200019.1559저지방139.735.017.9