Overview

Dataset statistics

Number of variables66
Number of observations100
Missing cells100
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.7 KiB
Average record size in memory591.3 B

Variable types

Numeric57
Categorical7
Text1
Unsupported1

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000001

Alerts

분량 has constant value ""Constant
최종 수정 일시 has constant value ""Constant
전송일자 has constant value ""Constant
염소 is highly imbalanced (91.9%)Imbalance
불소 is highly imbalanced (86.1%)Imbalance
총지방산 has 100 (100.0%) missing valuesMissing
식품코드 has unique valuesUnique
총지방산 is an unsupported type, check if it needs cleaning or further analysisUnsupported
식물성 단백질 has 84 (84.0%) zerosZeros
동물성 단백질 has 73 (73.0%) zerosZeros
총 식이섬유 has 76 (76.0%) zerosZeros
비타민 A has 72 (72.0%) zerosZeros
레티놀 has 45 (45.0%) zerosZeros
베타카로틴 has 85 (85.0%) zerosZeros
비타민 D has 85 (85.0%) zerosZeros
비타민 E has 32 (32.0%) zerosZeros
비타민 K has 75 (75.0%) zerosZeros
비타민 C has 42 (42.0%) zerosZeros
비타민 B1 has 6 (6.0%) zerosZeros
비타민 B2 has 3 (3.0%) zerosZeros
니아신 has 5 (5.0%) zerosZeros
비타민 B6 has 54 (54.0%) zerosZeros
엽산 has 31 (31.0%) zerosZeros
비타민 B12 has 40 (40.0%) zerosZeros
판토텐산 has 48 (48.0%) zerosZeros
비오틴 has 72 (72.0%) zerosZeros
식물성 칼슘 has 84 (84.0%) zerosZeros
동물성 칼슘\t has 73 (73.0%) zerosZeros
나트륨 has 14 (14.0%) zerosZeros
칼륨 has 14 (14.0%) zerosZeros
마그네슘 has 52 (52.0%) zerosZeros
식물성 철 has 84 (84.0%) zerosZeros
동물성 철 has 73 (73.0%) zerosZeros
아연 has 23 (23.0%) zerosZeros
구리 has 39 (39.0%) zerosZeros
망간 has 54 (54.0%) zerosZeros
요오드 has 78 (78.0%) zerosZeros
셀레늄 has 45 (45.0%) zerosZeros
콜레스테롤 has 45 (45.0%) zerosZeros
포화지방산 has 62 (62.0%) zerosZeros
총단일불포화 has 64 (64.0%) zerosZeros
총다중불포화 has 62 (62.0%) zerosZeros
총트랜스지방산 has 77 (77.0%) zerosZeros
이소루신 has 55 (55.0%) zerosZeros
루신 has 55 (55.0%) zerosZeros
라이신 has 55 (55.0%) zerosZeros
메타오닌 has 55 (55.0%) zerosZeros
페닐알라닌 has 55 (55.0%) zerosZeros
트레오닌 has 55 (55.0%) zerosZeros
탄수화물 has 37 (37.0%) zerosZeros
트립토판 has 56 (56.0%) zerosZeros
발린 has 55 (55.0%) zerosZeros
히스티딘 has 55 (55.0%) zerosZeros
아르기닌 has 55 (55.0%) zerosZeros
식물성지질 has 84 (84.0%) zerosZeros
동물성지질 has 73 (73.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:48:32.821484
Analysis finished2023-12-10 06:48:33.478846
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식품코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5342878 × 109
Minimum7.1001 × 109
Maximum1.320001 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:33.551162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.1001 × 109
5-th percentile7.1001201 × 109
Q19.1000602 × 109
median9.20003 × 109
Q31.1101113 × 1010
95-th percentile1.220022 × 1010
Maximum1.320001 × 1010
Range6.09991 × 109
Interquartile range (IQR)2.0010523 × 109

Descriptive statistics

Standard deviation1.6836842 × 109
Coefficient of variation (CV)0.17659255
Kurtosis-1.0346651
Mean9.5342878 × 109
Median Absolute Deviation (MAD)1.9004202 × 109
Skewness0.060350609
Sum9.5342878 × 1011
Variance2.8347924 × 1018
MonotonicityNot monotonic
2023-12-10T15:48:33.963189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11101190120 1
 
1.0%
12100220060 1
 
1.0%
7100100010 1
 
1.0%
8200630050 1
 
1.0%
11201120030 1
 
1.0%
11201120020 1
 
1.0%
11201120010 1
 
1.0%
11101120010 1
 
1.0%
11101110010 1
 
1.0%
11201110010 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
7100100010 1
1.0%
7100110010 1
1.0%
7100110050 1
1.0%
7100110060 1
1.0%
7100120010 1
1.0%
7100120060 1
1.0%
7100240010 1
1.0%
7100280030 1
1.0%
7100280040 1
1.0%
7100280050 1
1.0%
ValueCountFrequency (%)
13200010010 1
1.0%
12200220070 1
1.0%
12200220060 1
1.0%
12200220050 1
1.0%
12200220040 1
1.0%
12200220030 1
1.0%
12100220090 1
1.0%
12100220080 1
1.0%
12100220070 1
1.0%
12100220060 1
1.0%

식품 카테고리코드
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
G009
41 
G011
35 
G007
22 
G012
 
1
G008
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st rowG011
2nd rowG009
3rd rowG009
4th rowG011
5th rowG011

Common Values

ValueCountFrequency (%)
G009 41
41.0%
G011 35
35.0%
G007 22
22.0%
G012 1
 
1.0%
G008 1
 
1.0%

Length

2023-12-10T15:48:34.130531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:34.264799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g009 41
41.0%
g011 35
35.0%
g007 22
22.0%
g012 1
 
1.0%
g008 1
 
1.0%

단백질
Real number (ℝ)

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.9019
Minimum0.9
Maximum38.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:34.413247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile3.2895
Q114.955
median18.87
Q323.325
95-th percentile31.918
Maximum38.2
Range37.3
Interquartile range (IQR)8.37

Descriptive statistics

Standard deviation7.968685
Coefficient of variation (CV)0.42158116
Kurtosis0.34184076
Mean18.9019
Median Absolute Deviation (MAD)4.33
Skewness-0.21790667
Sum1890.19
Variance63.499941
MonotonicityNot monotonic
2023-12-10T15:48:34.588210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.3 3
 
3.0%
23.1 3
 
3.0%
23.6 3
 
3.0%
18.5 3
 
3.0%
17.2 3
 
3.0%
24.8 2
 
2.0%
36.0 2
 
2.0%
13.27 2
 
2.0%
20.0 2
 
2.0%
3.3 2
 
2.0%
Other values (66) 75
75.0%
ValueCountFrequency (%)
0.9 1
1.0%
2.0 1
1.0%
2.9 2
2.0%
3.09 1
1.0%
3.3 2
2.0%
4.06 1
1.0%
4.2 2
2.0%
4.44 1
1.0%
4.71 1
1.0%
12.6 2
2.0%
ValueCountFrequency (%)
38.2 1
1.0%
36.0 2
2.0%
35.47 1
1.0%
33.4 1
1.0%
31.84 1
1.0%
31.8 1
1.0%
30.1 1
1.0%
29.0 1
1.0%
28.47 1
1.0%
28.09 1
1.0%

식물성 단백질
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.34
Minimum0
Maximum27.7
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:34.723306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.155
Maximum27.7
Range27.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.4716632
Coefficient of variation (CV)2.765668
Kurtosis6.179001
Mean2.34
Median Absolute Deviation (MAD)0
Skewness2.7394908
Sum234
Variance41.882424
MonotonicityNot monotonic
2023-12-10T15:48:34.869959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 84
84.0%
2.0 1
 
1.0%
14.3 1
 
1.0%
23.3 1
 
1.0%
4.2 1
 
1.0%
2.9 1
 
1.0%
0.9 1
 
1.0%
17.2 1
 
1.0%
23.6 1
 
1.0%
3.3 1
 
1.0%
Other values (7) 7
 
7.0%
ValueCountFrequency (%)
0.0 84
84.0%
0.9 1
 
1.0%
2.0 1
 
1.0%
2.9 1
 
1.0%
3.3 1
 
1.0%
4.2 1
 
1.0%
12.8 1
 
1.0%
14.3 1
 
1.0%
15.8 1
 
1.0%
17.2 1
 
1.0%
ValueCountFrequency (%)
27.7 1
1.0%
24.4 1
1.0%
23.6 1
1.0%
23.3 1
1.0%
23.1 1
1.0%
20.0 1
1.0%
18.5 1
1.0%
17.2 1
1.0%
15.8 1
1.0%
14.3 1
1.0%

동물성 단백질
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.278
Minimum0
Maximum38.2
Zeros73
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:34.998932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile29.055
Maximum38.2
Range38.2
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.877292
Coefficient of variation (CV)1.7326046
Kurtosis0.44715115
Mean6.278
Median Absolute Deviation (MAD)0
Skewness1.3812889
Sum627.8
Variance118.31547
MonotonicityNot monotonic
2023-12-10T15:48:35.144889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 73
73.0%
24.8 2
 
2.0%
18.5 2
 
2.0%
16.0 2
 
2.0%
18.9 2
 
2.0%
38.2 1
 
1.0%
17.2 1
 
1.0%
33.4 1
 
1.0%
23.3 1
 
1.0%
31.8 1
 
1.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
0.0 73
73.0%
12.6 1
 
1.0%
16.0 2
 
2.0%
17.2 1
 
1.0%
17.5 1
 
1.0%
17.7 1
 
1.0%
18.5 2
 
2.0%
18.9 2
 
2.0%
21.6 1
 
1.0%
22.0 1
 
1.0%
ValueCountFrequency (%)
38.2 1
1.0%
36.0 1
1.0%
33.4 1
1.0%
31.8 1
1.0%
30.1 1
1.0%
29.0 1
1.0%
24.9 1
1.0%
24.8 2
2.0%
23.9 1
1.0%
23.6 1
1.0%

총 식이섬유
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.798
Minimum0
Maximum41.45
Zeros76
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:35.303510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35.14
Maximum41.45
Range41.45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.569574
Coefficient of variation (CV)2.4113327
Kurtosis3.8319327
Mean4.798
Median Absolute Deviation (MAD)0
Skewness2.3227798
Sum479.8
Variance133.85505
MonotonicityNot monotonic
2023-12-10T15:48:35.443229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 76
76.0%
29.6 4
 
4.0%
6.05 2
 
2.0%
41.23 2
 
2.0%
4.9 1
 
1.0%
1.1 1
 
1.0%
0.9 1
 
1.0%
0.1 1
 
1.0%
2.9 1
 
1.0%
26.29 1
 
1.0%
Other values (10) 10
 
10.0%
ValueCountFrequency (%)
0.0 76
76.0%
0.1 1
 
1.0%
0.9 1
 
1.0%
1.1 1
 
1.0%
2.9 1
 
1.0%
3.3 1
 
1.0%
4.0 1
 
1.0%
4.6 1
 
1.0%
4.8 1
 
1.0%
4.9 1
 
1.0%
ValueCountFrequency (%)
41.45 1
 
1.0%
41.23 2
2.0%
40.76 1
 
1.0%
37.8 1
 
1.0%
35.0 1
 
1.0%
31.6 1
 
1.0%
29.6 4
4.0%
27.34 1
 
1.0%
26.29 1
 
1.0%
6.05 2
2.0%

수분
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.7912
Minimum2.8
Maximum92.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:35.579302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.87
Q146.075
median63.35
Q374.13
95-th percentile89.02
Maximum92.8
Range90
Interquartile range (IQR)28.055

Descriptive statistics

Standard deviation27.831152
Coefficient of variation (CV)0.50794931
Kurtosis-0.68813168
Mean54.7912
Median Absolute Deviation (MAD)14.15
Skewness-0.74451556
Sum5479.12
Variance774.57304
MonotonicityNot monotonic
2023-12-10T15:48:35.757479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 4
 
4.0%
72.8 3
 
3.0%
7.6 2
 
2.0%
10.4 2
 
2.0%
91.7 2
 
2.0%
69.6 2
 
2.0%
82.0 2
 
2.0%
88.4 2
 
2.0%
15.5 2
 
2.0%
3.9 2
 
2.0%
Other values (71) 77
77.0%
ValueCountFrequency (%)
2.8 1
 
1.0%
3.3 4
4.0%
3.9 2
2.0%
4.4 1
 
1.0%
4.5 1
 
1.0%
5.5 1
 
1.0%
6.4 1
 
1.0%
7.6 2
2.0%
10.4 2
2.0%
11.0 1
 
1.0%
ValueCountFrequency (%)
92.8 1
1.0%
91.7 2
2.0%
91.0 1
1.0%
89.4 1
1.0%
89.0 1
1.0%
88.4 2
2.0%
88.2 1
1.0%
87.6 2
2.0%
86.2 1
1.0%
82.0 2
2.0%

화분
Real number (ℝ)

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5765
Minimum0.4
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:35.889194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.6
Q10.9
median1.25
Q34.35
95-th percentile15.4
Maximum20
Range19.6
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation4.8753377
Coefficient of variation (CV)1.3631589
Kurtosis4.3008488
Mean3.5765
Median Absolute Deviation (MAD)0.55
Skewness2.2238572
Sum357.65
Variance23.768918
MonotonicityNot monotonic
2023-12-10T15:48:36.054539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.1 7
 
7.0%
1.8 4
 
4.0%
1.0 4
 
4.0%
1.3 4
 
4.0%
1.2 3
 
3.0%
0.9 3
 
3.0%
0.8 3
 
3.0%
4.3 3
 
3.0%
0.6 3
 
3.0%
0.7 3
 
3.0%
Other values (51) 63
63.0%
ValueCountFrequency (%)
0.4 1
 
1.0%
0.5 1
 
1.0%
0.51 1
 
1.0%
0.58 1
 
1.0%
0.6 3
3.0%
0.61 1
 
1.0%
0.62 1
 
1.0%
0.65 2
2.0%
0.69 1
 
1.0%
0.7 3
3.0%
ValueCountFrequency (%)
20.0 2
2.0%
19.6 1
1.0%
19.2 2
2.0%
15.2 2
2.0%
13.0 2
2.0%
8.6 2
2.0%
8.5 1
1.0%
7.8 2
2.0%
7.7 2
2.0%
6.5 2
2.0%

비타민 A
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.8533
Minimum0
Maximum2876.67
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:36.217106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile43.25
Maximum2876.67
Range2876.67
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation407.03899
Coefficient of variation (CV)5.6648615
Kurtosis43.886533
Mean71.8533
Median Absolute Deviation (MAD)0
Skewness6.6209408
Sum7185.33
Variance165680.74
MonotonicityNot monotonic
2023-12-10T15:48:36.372350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 72
72.0%
6.0 4
 
4.0%
15.0 3
 
3.0%
9.0 2
 
2.0%
12.0 2
 
2.0%
21.0 2
 
2.0%
630.0 1
 
1.0%
40.0 1
 
1.0%
20.0 1
 
1.0%
13.33 1
 
1.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 72
72.0%
1.0 1
 
1.0%
2.0 1
 
1.0%
5.0 1
 
1.0%
6.0 4
 
4.0%
7.0 1
 
1.0%
9.0 2
 
2.0%
11.0 1
 
1.0%
12.0 2
 
2.0%
13.33 1
 
1.0%
ValueCountFrequency (%)
2876.67 1
1.0%
2833.33 1
1.0%
630.0 1
1.0%
450.0 1
1.0%
105.0 1
1.0%
40.0 1
1.0%
22.0 1
1.0%
21.0 2
2.0%
20.0 1
1.0%
16.0 1
1.0%

레티놀
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.65
Minimum0
Maximum270
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:36.517561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q312
95-th percentile26.7
Maximum270
Range270
Interquartile range (IQR)12

Descriptive statistics

Standard deviation30.30064
Coefficient of variation (CV)2.8451305
Kurtosis56.825406
Mean10.65
Median Absolute Deviation (MAD)3.5
Skewness7.0586757
Sum1065
Variance918.12879
MonotonicityNot monotonic
2023-12-10T15:48:36.662899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 45
45.0%
15 7
 
7.0%
6 5
 
5.0%
9 5
 
5.0%
11 4
 
4.0%
12 4
 
4.0%
5 3
 
3.0%
7 3
 
3.0%
2 3
 
3.0%
4 2
 
2.0%
Other values (17) 19
19.0%
ValueCountFrequency (%)
0 45
45.0%
1 1
 
1.0%
2 3
 
3.0%
3 1
 
1.0%
4 2
 
2.0%
5 3
 
3.0%
6 5
 
5.0%
7 3
 
3.0%
8 1
 
1.0%
9 5
 
5.0%
ValueCountFrequency (%)
270 1
1.0%
126 1
1.0%
49 1
1.0%
45 1
1.0%
40 1
1.0%
26 1
1.0%
22 1
1.0%
21 2
2.0%
20 1
1.0%
19 1
1.0%

베타카로틴
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660.11
Minimum0
Maximum17260
Zeros85
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:36.809387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2754
Maximum17260
Range17260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2985.2175
Coefficient of variation (CV)4.5223031
Kurtosis27.054335
Mean660.11
Median Absolute Deviation (MAD)0
Skewness5.247614
Sum66011
Variance8911523.6
MonotonicityNot monotonic
2023-12-10T15:48:36.950460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 85
85.0%
20 2
 
2.0%
630 2
 
2.0%
3780 2
 
2.0%
21 1
 
1.0%
2 1
 
1.0%
17000 1
 
1.0%
2700 1
 
1.0%
17260 1
 
1.0%
2070 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 85
85.0%
2 1
 
1.0%
20 2
 
2.0%
21 1
 
1.0%
80 1
 
1.0%
630 2
 
2.0%
774 1
 
1.0%
2070 1
 
1.0%
2700 1
 
1.0%
3780 2
 
2.0%
ValueCountFrequency (%)
17260 1
1.0%
17244 1
1.0%
17000 1
1.0%
3780 2
2.0%
2700 1
1.0%
2070 1
1.0%
774 1
1.0%
630 2
2.0%
80 1
1.0%
21 1
1.0%

비타민 D
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6348
Minimum0
Maximum18
Zeros85
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:37.066432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.2115
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8007425
Coefficient of variation (CV)4.4120077
Kurtosis28.477463
Mean0.6348
Median Absolute Deviation (MAD)0
Skewness5.3138028
Sum63.48
Variance7.8441585
MonotonicityNot monotonic
2023-12-10T15:48:37.192852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 85
85.0%
1.0 2
 
2.0%
0.82 2
 
2.0%
18.0 1
 
1.0%
2.0 1
 
1.0%
17.0 1
 
1.0%
0.1 1
 
1.0%
1.17 1
 
1.0%
7.0 1
 
1.0%
12.0 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 85
85.0%
0.1 1
 
1.0%
0.16 1
 
1.0%
0.59 1
 
1.0%
0.67 1
 
1.0%
0.82 2
 
2.0%
1.0 2
 
2.0%
1.15 1
 
1.0%
1.17 1
 
1.0%
2.0 1
 
1.0%
ValueCountFrequency (%)
18.0 1
1.0%
17.0 1
1.0%
12.0 1
1.0%
7.0 1
1.0%
2.0 1
1.0%
1.17 1
1.0%
1.15 1
1.0%
1.0 2
2.0%
0.82 2
2.0%
0.67 1
1.0%

식품 카테고리명칭
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
육류
41 
어패류및기타수산물
35 
버섯류
22 
우유및유제품류
 
1
과일류
 
1

Length

Max length9
Median length7
Mean length4.73
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row어패류및기타수산물
2nd row육류
3rd row육류
4th row어패류및기타수산물
5th row어패류및기타수산물

Common Values

ValueCountFrequency (%)
육류 41
41.0%
어패류및기타수산물 35
35.0%
버섯류 22
22.0%
우유및유제품류 1
 
1.0%
과일류 1
 
1.0%

Length

2023-12-10T15:48:37.341713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:37.471138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육류 41
41.0%
어패류및기타수산물 35
35.0%
버섯류 22
22.0%
우유및유제품류 1
 
1.0%
과일류 1
 
1.0%

비타민 E
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4756
Minimum0
Maximum3.1
Zeros32
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:37.606725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.5675
95-th percentile1.5335
Maximum3.1
Range3.1
Interquartile range (IQR)0.5675

Descriptive statistics

Standard deviation0.66845113
Coefficient of variation (CV)1.4054902
Kurtosis5.3049344
Mean0.4756
Median Absolute Deviation (MAD)0.2
Skewness2.1565171
Sum47.56
Variance0.44682691
MonotonicityNot monotonic
2023-12-10T15:48:37.757245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 32
32.0%
0.2 7
 
7.0%
1.1 7
 
7.0%
0.3 5
 
5.0%
0.4 4
 
4.0%
1.0 4
 
4.0%
1.5 3
 
3.0%
0.25 3
 
3.0%
3.1 3
 
3.0%
1.6 2
 
2.0%
Other values (25) 30
30.0%
ValueCountFrequency (%)
0.0 32
32.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.13 2
 
2.0%
0.14 1
 
1.0%
0.15 1
 
1.0%
0.17 1
 
1.0%
0.19 1
 
1.0%
ValueCountFrequency (%)
3.1 3
3.0%
1.6 2
 
2.0%
1.53 1
 
1.0%
1.52 1
 
1.0%
1.5 3
3.0%
1.47 1
 
1.0%
1.4 1
 
1.0%
1.1 7
7.0%
1.0 4
4.0%
0.8 2
 
2.0%

비타민 K
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.572
Minimum0
Maximum53
Zeros75
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:37.925970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.025
95-th percentile7.5365
Maximum53
Range53
Interquartile range (IQR)0.025

Descriptive statistics

Standard deviation5.7377018
Coefficient of variation (CV)3.6499375
Kurtosis66.364054
Mean1.572
Median Absolute Deviation (MAD)0
Skewness7.5506459
Sum157.2
Variance32.921222
MonotonicityNot monotonic
2023-12-10T15:48:38.053324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 75
75.0%
0.1 4
 
4.0%
5.0 3
 
3.0%
2.4 2
 
2.0%
0.2 2
 
2.0%
3.0 2
 
2.0%
4.51 1
 
1.0%
8.8 1
 
1.0%
3.15 1
 
1.0%
5.85 1
 
1.0%
Other values (8) 8
 
8.0%
ValueCountFrequency (%)
0.0 75
75.0%
0.1 4
 
4.0%
0.2 2
 
2.0%
2.4 2
 
2.0%
3.0 2
 
2.0%
3.15 1
 
1.0%
4.51 1
 
1.0%
5.0 3
 
3.0%
5.85 1
 
1.0%
6.22 1
 
1.0%
ValueCountFrequency (%)
53.0 1
1.0%
10.67 1
1.0%
8.82 1
1.0%
8.8 1
1.0%
8.23 1
1.0%
7.5 1
1.0%
7.44 1
1.0%
6.41 1
1.0%
6.22 1
1.0%
5.85 1
1.0%

비타민 C
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0066
Minimum0
Maximum53
Zeros42
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:38.192533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.855
Q31.71
95-th percentile17.95
Maximum53
Range53
Interquartile range (IQR)1.71

Descriptive statistics

Standard deviation10.12615
Coefficient of variation (CV)2.5273673
Kurtosis12.680567
Mean4.0066
Median Absolute Deviation (MAD)0.855
Skewness3.5259434
Sum400.66
Variance102.53891
MonotonicityNot monotonic
2023-12-10T15:48:38.365213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 42
42.0%
1.0 9
 
9.0%
2.0 7
 
7.0%
17.0 4
 
4.0%
36.0 2
 
2.0%
53.0 2
 
2.0%
0.88 2
 
2.0%
0.87 2
 
2.0%
13.0 2
 
2.0%
0.92 2
 
2.0%
Other values (25) 26
26.0%
ValueCountFrequency (%)
0.0 42
42.0%
0.32 1
 
1.0%
0.35 1
 
1.0%
0.42 1
 
1.0%
0.44 1
 
1.0%
0.54 1
 
1.0%
0.7 1
 
1.0%
0.81 1
 
1.0%
0.84 1
 
1.0%
0.87 2
 
2.0%
ValueCountFrequency (%)
53.0 2
2.0%
40.0 1
 
1.0%
36.0 2
2.0%
17.0 4
4.0%
15.0 1
 
1.0%
13.0 2
2.0%
7.77 1
 
1.0%
7.0 1
 
1.0%
5.0 1
 
1.0%
4.0 2
2.0%

비타민 B1
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2403
Minimum0
Maximum1.2
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:38.520166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0675
median0.18
Q30.3625
95-th percentile0.68
Maximum1.2
Range1.2
Interquartile range (IQR)0.295

Descriptive statistics

Standard deviation0.22681125
Coefficient of variation (CV)0.94386704
Kurtosis2.7603177
Mean0.2403
Median Absolute Deviation (MAD)0.14
Skewness1.490295
Sum24.03
Variance0.051443343
MonotonicityNot monotonic
2023-12-10T15:48:38.685678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.04 10
 
10.0%
0.08 7
 
7.0%
0.15 6
 
6.0%
0.0 6
 
6.0%
0.05 5
 
5.0%
0.4 4
 
4.0%
0.43 4
 
4.0%
0.09 4
 
4.0%
0.1 3
 
3.0%
0.21 3
 
3.0%
Other values (33) 48
48.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.02 1
 
1.0%
0.03 2
 
2.0%
0.04 10
10.0%
0.05 5
5.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 7
7.0%
0.09 4
 
4.0%
0.1 3
 
3.0%
ValueCountFrequency (%)
1.2 1
1.0%
0.92 1
1.0%
0.74 1
1.0%
0.72 1
1.0%
0.68 2
2.0%
0.66 2
2.0%
0.63 1
1.0%
0.61 1
1.0%
0.57 1
1.0%
0.49 1
1.0%

비타민 B2
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4105
Minimum0
Maximum1.82
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:38.902526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.1275
median0.195
Q30.39
95-th percentile1.47
Maximum1.82
Range1.82
Interquartile range (IQR)0.2625

Descriptive statistics

Standard deviation0.48202304
Coefficient of variation (CV)1.174234
Kurtosis1.0506557
Mean0.4105
Median Absolute Deviation (MAD)0.095
Skewness1.5735844
Sum41.05
Variance0.23234621
MonotonicityNot monotonic
2023-12-10T15:48:39.064520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.15 7
 
7.0%
0.1 5
 
5.0%
0.39 4
 
4.0%
0.16 4
 
4.0%
0.13 4
 
4.0%
0.26 4
 
4.0%
0.21 4
 
4.0%
0.18 4
 
4.0%
1.47 4
 
4.0%
0.06 3
 
3.0%
Other values (36) 57
57.0%
ValueCountFrequency (%)
0.0 3
3.0%
0.02 1
 
1.0%
0.05 3
3.0%
0.06 3
3.0%
0.07 3
3.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.1 5
5.0%
0.11 1
 
1.0%
0.12 3
3.0%
ValueCountFrequency (%)
1.82 2
2.0%
1.51 1
 
1.0%
1.47 4
4.0%
1.35 1
 
1.0%
1.34 2
2.0%
1.28 1
 
1.0%
1.27 2
2.0%
1.26 1
 
1.0%
1.25 2
2.0%
1.13 1
 
1.0%

니아신
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5962
Minimum0
Maximum38.4
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:39.245841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.665
Q12.2
median4.23
Q39.47
95-th percentile18.29
Maximum38.4
Range38.4
Interquartile range (IQR)7.27

Descriptive statistics

Standard deviation6.8697016
Coefficient of variation (CV)1.0414635
Kurtosis7.7939918
Mean6.5962
Median Absolute Deviation (MAD)2.45
Skewness2.3937392
Sum659.62
Variance47.1928
MonotonicityNot monotonic
2023-12-10T15:48:39.762238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
5.0%
9.8 3
 
3.0%
2.4 3
 
3.0%
5.0 2
 
2.0%
3.1 2
 
2.0%
3.2 2
 
2.0%
16.9 2
 
2.0%
8.9 2
 
2.0%
2.2 2
 
2.0%
18.2 2
 
2.0%
Other values (65) 75
75.0%
ValueCountFrequency (%)
0.0 5
5.0%
0.7 1
 
1.0%
0.9 1
 
1.0%
1.0 1
 
1.0%
1.1 1
 
1.0%
1.19 1
 
1.0%
1.3 1
 
1.0%
1.4 2
 
2.0%
1.5 1
 
1.0%
1.63 1
 
1.0%
ValueCountFrequency (%)
38.4 2
2.0%
20.3 2
2.0%
20.0 1
1.0%
18.2 2
2.0%
16.9 2
2.0%
16.26 1
1.0%
14.8 1
1.0%
13.7 1
1.0%
13.4 1
1.0%
12.7 1
1.0%

비타민 B6
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2468
Minimum0
Maximum1.43
Zeros54
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:39.968576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.37
95-th percentile1.3525
Maximum1.43
Range1.43
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.39850194
Coefficient of variation (CV)1.6146756
Kurtosis2.4475025
Mean0.2468
Median Absolute Deviation (MAD)0
Skewness1.8149982
Sum24.68
Variance0.1588038
MonotonicityNot monotonic
2023-12-10T15:48:40.192031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 54
54.0%
0.09 4
 
4.0%
0.64 3
 
3.0%
1.0 3
 
3.0%
0.36 3
 
3.0%
0.53 2
 
2.0%
0.08 2
 
2.0%
0.45 2
 
2.0%
0.47 2
 
2.0%
1.42 2
 
2.0%
Other values (22) 23
23.0%
ValueCountFrequency (%)
0.0 54
54.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.09 4
 
4.0%
0.11 2
 
2.0%
0.12 1
 
1.0%
0.13 1
 
1.0%
0.22 1
 
1.0%
0.29 1
 
1.0%
ValueCountFrequency (%)
1.43 1
 
1.0%
1.42 2
2.0%
1.41 1
 
1.0%
1.4 1
 
1.0%
1.35 1
 
1.0%
1.19 1
 
1.0%
1.0 3
3.0%
0.82 1
 
1.0%
0.64 3
3.0%
0.58 1
 
1.0%

엽산
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.137
Minimum0
Maximum411
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:40.354482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile299
Maximum411
Range411
Interquartile range (IQR)21

Descriptive statistics

Standard deviation98.913853
Coefficient of variation (CV)2.143916
Kurtosis5.3211841
Mean46.137
Median Absolute Deviation (MAD)4
Skewness2.4980088
Sum4613.7
Variance9783.9502
MonotonicityNot monotonic
2023-12-10T15:48:40.522262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 31
31.0%
4.0 12
 
12.0%
3.0 5
 
5.0%
3.4 3
 
3.0%
15.6 3
 
3.0%
7.0 3
 
3.0%
16.7 3
 
3.0%
299.0 2
 
2.0%
411.0 2
 
2.0%
180.0 2
 
2.0%
Other values (28) 34
34.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.5 1
 
1.0%
1.0 2
 
2.0%
2.0 1
 
1.0%
3.0 5
 
5.0%
3.4 3
 
3.0%
3.9 1
 
1.0%
4.0 12
 
12.0%
5.0 2
 
2.0%
7.0 3
 
3.0%
ValueCountFrequency (%)
411.0 2
2.0%
409.0 1
1.0%
301.0 1
1.0%
299.0 2
2.0%
296.0 1
1.0%
260.0 2
2.0%
202.0 1
1.0%
180.0 2
2.0%
156.9 2
2.0%
92.7 1
1.0%

비타민 B12
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5565
Minimum0
Maximum31.8
Zeros40
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:40.687786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.355
Q30.9625
95-th percentile5.141
Maximum31.8
Range31.8
Interquartile range (IQR)0.9625

Descriptive statistics

Standard deviation4.7809156
Coefficient of variation (CV)3.0715809
Kurtosis32.212288
Mean1.5565
Median Absolute Deviation (MAD)0.355
Skewness5.5171659
Sum155.65
Variance22.857154
MonotonicityNot monotonic
2023-12-10T15:48:40.852993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 40
40.0%
0.3 3
 
3.0%
0.69 2
 
2.0%
0.63 2
 
2.0%
0.51 2
 
2.0%
0.9 2
 
2.0%
0.34 2
 
2.0%
0.49 2
 
2.0%
0.04 2
 
2.0%
1.3 2
 
2.0%
Other values (38) 41
41.0%
ValueCountFrequency (%)
0.0 40
40.0%
0.04 2
 
2.0%
0.06 1
 
1.0%
0.19 1
 
1.0%
0.3 3
 
3.0%
0.31 1
 
1.0%
0.34 2
 
2.0%
0.37 2
 
2.0%
0.38 1
 
1.0%
0.43 1
 
1.0%
ValueCountFrequency (%)
31.8 2
2.0%
16.0 1
1.0%
7.0 1
1.0%
6.3 1
1.0%
5.08 1
1.0%
4.5 1
1.0%
3.25 1
1.0%
2.99 1
1.0%
2.97 1
1.0%
2.86 1
1.0%

판토텐산
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.547
Minimum0
Maximum6.58
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:41.016148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.14
Q30.8125
95-th percentile1.856
Maximum6.58
Range6.58
Interquartile range (IQR)0.8125

Descriptive statistics

Standard deviation0.92342413
Coefficient of variation (CV)1.6881611
Kurtosis18.994221
Mean0.547
Median Absolute Deviation (MAD)0.14
Skewness3.6498744
Sum54.7
Variance0.85271212
MonotonicityNot monotonic
2023-12-10T15:48:41.174526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 48
48.0%
0.14 3
 
3.0%
0.82 2
 
2.0%
0.47 2
 
2.0%
0.75 2
 
2.0%
1.5 2
 
2.0%
0.67 2
 
2.0%
0.87 2
 
2.0%
0.38 2
 
2.0%
1.07 1
 
1.0%
Other values (34) 34
34.0%
ValueCountFrequency (%)
0.0 48
48.0%
0.11 1
 
1.0%
0.14 3
 
3.0%
0.21 1
 
1.0%
0.26 1
 
1.0%
0.38 2
 
2.0%
0.39 1
 
1.0%
0.4 1
 
1.0%
0.47 2
 
2.0%
0.48 1
 
1.0%
ValueCountFrequency (%)
6.58 1
1.0%
3.53 1
1.0%
3.37 1
1.0%
2.32 1
1.0%
1.97 1
1.0%
1.85 1
1.0%
1.83 1
1.0%
1.69 1
1.0%
1.5 2
2.0%
1.42 1
1.0%

식품 명칭
Text

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:48:41.492220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length14.41
Min length3

Characters and Unicode

Total characters1441
Distinct characters152
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)84.0%

Sample

1st row송어| 무지개송어| 구운것
2nd row소고기| 한우(1+등급)| 등심(윗등심살)| 생것
3rd row소고기| 한우(1+등급)| 목심(목심살)| 생것
4th row다랑어| 참다랑어| 지방육| 생것
5th row다랑어| 황다랑어| 생것
ValueCountFrequency (%)
생것 38
 
12.7%
말린것 21
 
7.0%
돼지고기 17
 
5.7%
소고기 12
 
4.0%
파래 10
 
3.3%
한우(1+등급 10
 
3.3%
갓 9
 
3.0%
표고버섯 7
 
2.3%
닭고기 7
 
2.3%
버들송이버섯 6
 
2.0%
Other values (89) 162
54.2%
2023-12-10T15:48:41.941430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
13.8%
| 191
 
13.3%
것 82
 
5.7%
기 50
 
3.5%
고 44
 
3.1%
생 41
 
2.8%
) 40
 
2.8%
( 40
 
2.8%
버 29
 
2.0%
살 24
 
1.7%
Other values (142) 701
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 949
65.9%
Math Symbol 201
 
13.9%
Space Separator 199
 
13.8%
Close Punctuation 40
 
2.8%
Open Punctuation 40
 
2.8%
Decimal Number 12
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
것 82
 
8.6%
기 50
 
5.3%
고 44
 
4.6%
생 41
 
4.3%
버 29
 
3.1%
살 24
 
2.5%
지 24
 
2.5%
섯 23
 
2.4%
말 22
 
2.3%
래 21
 
2.2%
Other values (136) 589
62.1%
Math Symbol
ValueCountFrequency (%)
| 191
95.0%
+ 10
 
5.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Decimal Number
ValueCountFrequency (%)
1 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 949
65.9%
Common 492
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
것 82
 
8.6%
기 50
 
5.3%
고 44
 
4.6%
생 41
 
4.3%
버 29
 
3.1%
살 24
 
2.5%
지 24
 
2.5%
섯 23
 
2.4%
말 22
 
2.3%
래 21
 
2.2%
Other values (136) 589
62.1%
Common
ValueCountFrequency (%)
199
40.4%
| 191
38.8%
) 40
 
8.1%
( 40
 
8.1%
1 12
 
2.4%
+ 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 949
65.9%
ASCII 492
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
40.4%
| 191
38.8%
) 40
 
8.1%
( 40
 
8.1%
1 12
 
2.4%
+ 10
 
2.0%
Hangul
ValueCountFrequency (%)
것 82
 
8.6%
기 50
 
5.3%
고 44
 
4.6%
생 41
 
4.3%
버 29
 
3.1%
살 24
 
2.5%
지 24
 
2.5%
섯 23
 
2.4%
말 22
 
2.3%
래 21
 
2.2%
Other values (136) 589
62.1%

비오틴
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0579
Minimum0
Maximum17.58
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:42.078347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.8825
95-th percentile6.706
Maximum17.58
Range17.58
Interquartile range (IQR)0.8825

Descriptive statistics

Standard deviation2.5925742
Coefficient of variation (CV)2.4506798
Kurtosis18.251919
Mean1.0579
Median Absolute Deviation (MAD)0
Skewness3.8339282
Sum105.79
Variance6.721441
MonotonicityNot monotonic
2023-12-10T15:48:42.215307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 72
72.0%
1.91 2
 
2.0%
1.94 1
 
1.0%
1.35 1
 
1.0%
2.28 1
 
1.0%
0.71 1
 
1.0%
0.63 1
 
1.0%
4.03 1
 
1.0%
2.66 1
 
1.0%
2.34 1
 
1.0%
Other values (18) 18
 
18.0%
ValueCountFrequency (%)
0.0 72
72.0%
0.63 1
 
1.0%
0.71 1
 
1.0%
0.84 1
 
1.0%
1.01 1
 
1.0%
1.16 1
 
1.0%
1.18 1
 
1.0%
1.29 1
 
1.0%
1.35 1
 
1.0%
1.88 1
 
1.0%
ValueCountFrequency (%)
17.58 1
1.0%
10.54 1
1.0%
7.97 1
1.0%
7.73 1
1.0%
7.01 1
1.0%
6.69 1
1.0%
5.06 1
1.0%
4.86 1
1.0%
4.03 1
1.0%
3.87 1
1.0%

칼슘
Real number (ℝ)

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.87
Minimum1
Maximum1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:42.372546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median11
Q324.5
95-th percentile646
Maximum1015
Range1014
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation216.44939
Coefficient of variation (CV)2.6765103
Kurtosis9.9659035
Mean80.87
Median Absolute Deviation (MAD)7
Skewness3.3146875
Sum8087
Variance46850.336
MonotonicityNot monotonic
2023-12-10T15:48:42.515674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 8
 
8.0%
7 7
 
7.0%
4 7
 
7.0%
6 7
 
7.0%
5 5
 
5.0%
2 5
 
5.0%
9 4
 
4.0%
13 4
 
4.0%
8 4
 
4.0%
17 3
 
3.0%
Other values (28) 46
46.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 5
5.0%
3 8
8.0%
4 7
7.0%
5 5
5.0%
6 7
7.0%
7 7
7.0%
8 4
4.0%
9 4
4.0%
10 1
 
1.0%
ValueCountFrequency (%)
1015 2
2.0%
866 2
2.0%
646 2
2.0%
630 2
2.0%
134 2
2.0%
105 1
1.0%
93 2
2.0%
92 1
1.0%
86 1
1.0%
62 1
1.0%

식물성 칼슘
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.86
Minimum0
Maximum1015
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:42.653012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile43.6
Maximum1015
Range1015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation158.63082
Coefficient of variation (CV)4.6849032
Kurtosis25.262181
Mean33.86
Median Absolute Deviation (MAD)0
Skewness5.0576523
Sum3386
Variance25163.738
MonotonicityNot monotonic
2023-12-10T15:48:42.774249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 84
84.0%
7 2
 
2.0%
866 1
 
1.0%
17 1
 
1.0%
6 1
 
1.0%
2 1
 
1.0%
41 1
 
1.0%
16 1
 
1.0%
630 1
 
1.0%
93 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0 84
84.0%
2 1
 
1.0%
4 1
 
1.0%
6 1
 
1.0%
7 2
 
2.0%
11 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
16 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
1015 1
1.0%
866 1
1.0%
646 1
1.0%
630 1
1.0%
93 1
1.0%
41 1
1.0%
17 1
1.0%
16 1
1.0%
13 1
1.0%
12 1
1.0%

동물성 칼슘\t
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.91
Minimum0
Maximum134
Zeros73
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:42.887671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile27
Maximum134
Range134
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation16.683685
Coefficient of variation (CV)2.8229586
Kurtosis36.279995
Mean5.91
Median Absolute Deviation (MAD)0
Skewness5.3598208
Sum591
Variance278.34535
MonotonicityNot monotonic
2023-12-10T15:48:43.017573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 73
73.0%
13 2
 
2.0%
14 2
 
2.0%
16 2
 
2.0%
8 2
 
2.0%
27 2
 
2.0%
5 1
 
1.0%
3 1
 
1.0%
20 1
 
1.0%
2 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
0 73
73.0%
1 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
8 2
 
2.0%
9 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
134 1
1.0%
62 1
1.0%
47 1
1.0%
41 1
1.0%
27 2
2.0%
24 1
1.0%
22 1
1.0%
20 1
1.0%
19 1
1.0%
17 1
1.0%

인
Real number (ℝ)

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.93
Minimum10
Maximum874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:43.175169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile39.25
Q1140.75
median185
Q3243.75
95-th percentile314.7
Maximum874
Range864
Interquartile range (IQR)103

Descriptive statistics

Standard deviation117.08887
Coefficient of variation (CV)0.58859332
Kurtosis13.147918
Mean198.93
Median Absolute Deviation (MAD)50.5
Skewness2.5990934
Sum19893
Variance13709.803
MonotonicityNot monotonic
2023-12-10T15:48:43.316181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185 4
 
4.0%
181 4
 
4.0%
235 3
 
3.0%
203 3
 
3.0%
282 2
 
2.0%
211 2
 
2.0%
275 2
 
2.0%
264 2
 
2.0%
226 2
 
2.0%
41 2
 
2.0%
Other values (64) 74
74.0%
ValueCountFrequency (%)
10 1
1.0%
14 2
2.0%
19 1
1.0%
25 1
1.0%
40 2
2.0%
41 2
2.0%
75 1
1.0%
83 1
1.0%
95 1
1.0%
98 2
2.0%
ValueCountFrequency (%)
874 1
1.0%
699 1
1.0%
418 1
1.0%
375 1
1.0%
366 1
1.0%
312 1
1.0%
310 1
1.0%
309 1
1.0%
296 1
1.0%
282 2
2.0%

나트륨
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.4676
Minimum0
Maximum7439
Zeros14
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:43.464019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median46.5
Q376.75
95-th percentile2700
Maximum7439
Range7439
Interquartile range (IQR)70

Descriptive statistics

Standard deviation1043.3785
Coefficient of variation (CV)3.1572793
Kurtosis24.580357
Mean330.4676
Median Absolute Deviation (MAD)38.5
Skewness4.6376996
Sum33046.76
Variance1088638.7
MonotonicityNot monotonic
2023-12-10T15:48:43.630941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
14.0%
2700.0 3
 
3.0%
50.0 3
 
3.0%
4.0 3
 
3.0%
38.0 3
 
3.0%
42.0 3
 
3.0%
5.0 3
 
3.0%
56.0 2
 
2.0%
54.0 2
 
2.0%
40.0 2
 
2.0%
Other values (50) 62
62.0%
ValueCountFrequency (%)
0.0 14
14.0%
2.0 2
 
2.0%
3.0 2
 
2.0%
4.0 3
 
3.0%
5.0 3
 
3.0%
6.0 1
 
1.0%
7.0 2
 
2.0%
9.0 1
 
1.0%
14.0 1
 
1.0%
20.0 2
 
2.0%
ValueCountFrequency (%)
7439.0 1
 
1.0%
4049.0 2
2.0%
2700.0 3
3.0%
2562.0 1
 
1.0%
848.0 1
 
1.0%
711.0 1
 
1.0%
435.0 1
 
1.0%
419.0 1
 
1.0%
402.0 1
 
1.0%
275.0 1
 
1.0%

염소
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
99 
2100
 
1

Length

Max length4
Median length1
Mean length1.03
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 99
99.0%
2100 1
 
1.0%

Length

2023-12-10T15:48:43.789855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:43.910014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
2100 1
 
1.0%

칼륨
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.21
Minimum0
Maximum3604
Zeros14
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:44.027696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196
median275
Q3386.25
95-th percentile1301
Maximum3604
Range3604
Interquartile range (IQR)190.25

Descriptive statistics

Standard deviation584.92556
Coefficient of variation (CV)1.4800373
Kurtosis17.68288
Mean395.21
Median Absolute Deviation (MAD)93.5
Skewness4.0544014
Sum39521
Variance342137.9
MonotonicityNot monotonic
2023-12-10T15:48:44.181737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
14.0%
420 4
 
4.0%
370 3
 
3.0%
620 3
 
3.0%
196 2
 
2.0%
410 2
 
2.0%
324 2
 
2.0%
242 2
 
2.0%
236 2
 
2.0%
292 2
 
2.0%
Other values (61) 64
64.0%
ValueCountFrequency (%)
0 14
14.0%
59 1
 
1.0%
110 1
 
1.0%
157 1
 
1.0%
166 1
 
1.0%
173 1
 
1.0%
175 1
 
1.0%
178 1
 
1.0%
184 1
 
1.0%
186 2
 
2.0%
ValueCountFrequency (%)
3604 1
 
1.0%
3465 1
 
1.0%
2243 1
 
1.0%
2172 1
 
1.0%
2137 1
 
1.0%
1257 1
 
1.0%
620 3
3.0%
610 1
 
1.0%
480 1
 
1.0%
450 1
 
1.0%

마그네슘
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.32
Minimum0
Maximum132
Zeros52
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:44.333151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile33.1
Maximum132
Range132
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.813209
Coefficient of variation (CV)1.608215
Kurtosis17.666291
Mean12.32
Median Absolute Deviation (MAD)0
Skewness3.549855
Sum1232
Variance392.56323
MonotonicityNot monotonic
2023-12-10T15:48:44.458261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 52
52.0%
18 5
 
5.0%
19 4
 
4.0%
20 4
 
4.0%
21 4
 
4.0%
15 3
 
3.0%
14 3
 
3.0%
13 3
 
3.0%
31 2
 
2.0%
30 2
 
2.0%
Other values (14) 18
 
18.0%
ValueCountFrequency (%)
0 52
52.0%
4 2
 
2.0%
13 3
 
3.0%
14 3
 
3.0%
15 3
 
3.0%
17 1
 
1.0%
18 5
 
5.0%
19 4
 
4.0%
20 4
 
4.0%
21 4
 
4.0%
ValueCountFrequency (%)
132 1
1.0%
109 1
1.0%
50 1
1.0%
45 1
1.0%
35 1
1.0%
33 1
1.0%
31 2
2.0%
30 2
2.0%
28 1
1.0%
27 2
2.0%

철
Real number (ℝ)

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7557
Minimum0.1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:44.619656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.38
Q10.93
median1.65
Q34.05
95-th percentile14.725
Maximum371
Range370.9
Interquartile range (IQR)3.12

Descriptive statistics

Standard deviation37.306888
Coefficient of variation (CV)4.8102542
Kurtosis93.373645
Mean7.7557
Median Absolute Deviation (MAD)0.95
Skewness9.5239713
Sum775.57
Variance1391.8039
MonotonicityNot monotonic
2023-12-10T15:48:44.775061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 6
 
6.0%
1.6 5
 
5.0%
1.0 4
 
4.0%
0.8 3
 
3.0%
0.38 2
 
2.0%
11.9 2
 
2.0%
1.3 2
 
2.0%
1.5 2
 
2.0%
2.4 2
 
2.0%
0.7 2
 
2.0%
Other values (56) 70
70.0%
ValueCountFrequency (%)
0.1 1
1.0%
0.2 1
1.0%
0.34 1
1.0%
0.37 1
1.0%
0.38 2
2.0%
0.39 1
1.0%
0.4 1
1.0%
0.41 1
1.0%
0.42 1
1.0%
0.5 2
2.0%
ValueCountFrequency (%)
371.0 1
1.0%
37.2 2
2.0%
28.5 2
2.0%
14.0 2
2.0%
12.6 1
1.0%
11.9 2
2.0%
10.3 2
2.0%
8.7 2
2.0%
8.0 1
1.0%
7.3 1
1.0%

분량
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
100
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 100
100.0%

Length

2023-12-10T15:48:44.907702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:45.015204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 100
100.0%

식물성 철
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.253
Minimum0
Maximum37.2
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:45.428626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.755
Maximum37.2
Range37.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.9992213
Coefficient of variation (CV)3.9898015
Kurtosis35.473028
Mean1.253
Median Absolute Deviation (MAD)0
Skewness5.6988584
Sum125.3
Variance24.992213
MonotonicityNot monotonic
2023-12-10T15:48:45.545850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 84
84.0%
1.2 1
 
1.0%
4.6 1
 
1.0%
5.2 1
 
1.0%
0.9 1
 
1.0%
5.6 1
 
1.0%
0.2 1
 
1.0%
10.3 1
 
1.0%
28.5 1
 
1.0%
11.9 1
 
1.0%
Other values (7) 7
 
7.0%
ValueCountFrequency (%)
0.0 84
84.0%
0.2 1
 
1.0%
0.9 1
 
1.0%
1.2 1
 
1.0%
1.3 1
 
1.0%
1.5 1
 
1.0%
1.6 1
 
1.0%
2.4 1
 
1.0%
4.2 1
 
1.0%
4.6 1
 
1.0%
ValueCountFrequency (%)
37.2 1
1.0%
28.5 1
1.0%
11.9 1
1.0%
10.3 1
1.0%
8.7 1
1.0%
5.6 1
1.0%
5.2 1
1.0%
4.6 1
1.0%
4.2 1
1.0%
2.4 1
1.0%

동물성 철
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.386
Minimum0
Maximum371
Zeros73
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:45.663459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.55
95-th percentile2.955
Maximum371
Range371
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation37.091095
Coefficient of variation (CV)8.4567019
Kurtosis99.341572
Mean4.386
Median Absolute Deviation (MAD)0
Skewness9.95198
Sum438.6
Variance1375.7493
MonotonicityNot monotonic
2023-12-10T15:48:45.789656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 73
73.0%
1.2 4
 
4.0%
1.0 3
 
3.0%
1.1 2
 
2.0%
0.8 2
 
2.0%
14.0 1
 
1.0%
0.7 1
 
1.0%
1.8 1
 
1.0%
1.3 1
 
1.0%
371.0 1
 
1.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 73
73.0%
0.4 1
 
1.0%
0.5 1
 
1.0%
0.7 1
 
1.0%
0.8 2
 
2.0%
1.0 3
 
3.0%
1.1 2
 
2.0%
1.2 4
 
4.0%
1.3 1
 
1.0%
1.4 1
 
1.0%
ValueCountFrequency (%)
371.0 1
1.0%
14.0 1
1.0%
12.6 1
1.0%
8.0 1
1.0%
4.0 1
1.0%
2.9 1
1.0%
2.6 1
1.0%
2.5 1
1.0%
1.8 1
1.0%
1.7 1
1.0%

아연
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1073
Minimum0
Maximum12.31
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:45.949897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.415
median1.1
Q32.755
95-th percentile7.008
Maximum12.31
Range12.31
Interquartile range (IQR)2.34

Descriptive statistics

Standard deviation2.5821868
Coefficient of variation (CV)1.2253532
Kurtosis4.3720501
Mean2.1073
Median Absolute Deviation (MAD)1.1
Skewness2.0197374
Sum210.73
Variance6.6676886
MonotonicityNot monotonic
2023-12-10T15:48:46.172536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
23.0%
0.8 5
 
5.0%
1.73 4
 
4.0%
1.1 3
 
3.0%
0.5 2
 
2.0%
0.56 2
 
2.0%
0.83 2
 
2.0%
2.36 2
 
2.0%
0.95 2
 
2.0%
10.3 2
 
2.0%
Other values (52) 53
53.0%
ValueCountFrequency (%)
0.0 23
23.0%
0.3 1
 
1.0%
0.4 1
 
1.0%
0.42 1
 
1.0%
0.44 1
 
1.0%
0.46 1
 
1.0%
0.5 2
 
2.0%
0.51 1
 
1.0%
0.53 1
 
1.0%
0.56 2
 
2.0%
ValueCountFrequency (%)
12.31 1
1.0%
10.4 1
1.0%
10.3 2
2.0%
10.2 1
1.0%
6.84 1
1.0%
6.39 1
1.0%
5.98 1
1.0%
5.36 1
1.0%
5.06 1
1.0%
4.83 1
1.0%

구리
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0906
Minimum0
Maximum1.45
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:46.337316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03
Q30.07
95-th percentile0.515
Maximum1.45
Range1.45
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.21758463
Coefficient of variation (CV)2.4015963
Kurtosis18.925019
Mean0.0906
Median Absolute Deviation (MAD)0.03
Skewness4.1336512
Sum9.06
Variance0.047343071
MonotonicityNot monotonic
2023-12-10T15:48:46.512362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 39
39.0%
0.07 8
 
8.0%
0.04 8
 
8.0%
0.03 8
 
8.0%
0.06 7
 
7.0%
0.05 7
 
7.0%
0.02 4
 
4.0%
0.11 3
 
3.0%
0.8 3
 
3.0%
0.1 2
 
2.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 39
39.0%
0.01 1
 
1.0%
0.02 4
 
4.0%
0.03 8
 
8.0%
0.04 8
 
8.0%
0.05 7
 
7.0%
0.06 7
 
7.0%
0.07 8
 
8.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
ValueCountFrequency (%)
1.45 1
 
1.0%
0.88 1
 
1.0%
0.8 3
3.0%
0.5 1
 
1.0%
0.31 1
 
1.0%
0.28 1
 
1.0%
0.24 1
 
1.0%
0.2 1
 
1.0%
0.12 1
 
1.0%
0.11 3
3.0%

불소
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
96 
42
 
1
20
 
1
112
 
1
18
 
1

Length

Max length3
Median length1
Mean length1.05
Min length1

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 96
96.0%
42 1
 
1.0%
20 1
 
1.0%
112 1
 
1.0%
18 1
 
1.0%

Length

2023-12-10T15:48:46.672583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:46.815815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
96.0%
42 1
 
1.0%
20 1
 
1.0%
112 1
 
1.0%
18 1
 
1.0%

망간
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6494
Minimum0
Maximum17
Zeros54
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:46.927557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile1.574
Maximum17
Range17
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation2.9801975
Coefficient of variation (CV)4.5891554
Kurtosis22.688399
Mean0.6494
Median Absolute Deviation (MAD)0
Skewness4.8629218
Sum64.94
Variance8.8815774
MonotonicityNot monotonic
2023-12-10T15:48:47.061621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 54
54.0%
0.01 23
23.0%
0.02 8
 
8.0%
13.0 2
 
2.0%
17.0 2
 
2.0%
0.08 2
 
2.0%
0.23 1
 
1.0%
1.57 1
 
1.0%
0.24 1
 
1.0%
1.65 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
0.0 54
54.0%
0.01 23
23.0%
0.02 8
 
8.0%
0.03 1
 
1.0%
0.05 1
 
1.0%
0.08 2
 
2.0%
0.19 1
 
1.0%
0.21 1
 
1.0%
0.22 1
 
1.0%
0.23 1
 
1.0%
ValueCountFrequency (%)
17.0 2
2.0%
13.0 2
2.0%
1.65 1
1.0%
1.57 1
1.0%
0.24 1
1.0%
0.23 1
1.0%
0.22 1
1.0%
0.21 1
1.0%
0.19 1
1.0%
0.08 2
2.0%

요오드
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7253
Minimum0
Maximum24.76
Zeros78
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:47.186405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.5075
Maximum24.76
Range24.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.941405
Coefficient of variation (CV)4.0554323
Kurtosis48.102886
Mean0.7253
Median Absolute Deviation (MAD)0
Skewness6.5208957
Sum72.53
Variance8.6518635
MonotonicityNot monotonic
2023-12-10T15:48:47.314245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 78
78.0%
0.67 2
 
2.0%
0.9 1
 
1.0%
24.76 1
 
1.0%
1.88 1
 
1.0%
0.53 1
 
1.0%
1.79 1
 
1.0%
1.44 1
 
1.0%
3.5 1
 
1.0%
0.41 1
 
1.0%
Other values (12) 12
 
12.0%
ValueCountFrequency (%)
0.0 78
78.0%
0.38 1
 
1.0%
0.41 1
 
1.0%
0.51 1
 
1.0%
0.53 1
 
1.0%
0.58 1
 
1.0%
0.67 2
 
2.0%
0.69 1
 
1.0%
0.83 1
 
1.0%
0.84 1
 
1.0%
ValueCountFrequency (%)
24.76 1
1.0%
12.3 1
1.0%
9.2 1
1.0%
4.0 1
1.0%
3.65 1
1.0%
3.5 1
1.0%
2.0 1
1.0%
1.88 1
1.0%
1.79 1
1.0%
1.44 1
1.0%

셀레늄
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.8037
Minimum0
Maximum80.4
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:47.448219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.53
Q321.7825
95-th percentile41
Maximum80.4
Range80.4
Interquartile range (IQR)21.7825

Descriptive statistics

Standard deviation15.50364
Coefficient of variation (CV)1.2108719
Kurtosis2.304966
Mean12.8037
Median Absolute Deviation (MAD)2.53
Skewness1.2922255
Sum1280.37
Variance240.36285
MonotonicityNot monotonic
2023-12-10T15:48:47.641557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
45.0%
36.5 4
 
4.0%
20.67 2
 
2.0%
41.0 2
 
2.0%
28.0 1
 
1.0%
20.02 1
 
1.0%
19.36 1
 
1.0%
20.94 1
 
1.0%
0.6 1
 
1.0%
0.1 1
 
1.0%
Other values (41) 41
41.0%
ValueCountFrequency (%)
0.0 45
45.0%
0.1 1
 
1.0%
0.6 1
 
1.0%
1.77 1
 
1.0%
2.06 1
 
1.0%
2.46 1
 
1.0%
2.6 1
 
1.0%
8.0 1
 
1.0%
12.59 1
 
1.0%
13.2 1
 
1.0%
ValueCountFrequency (%)
80.4 1
 
1.0%
46.1 1
 
1.0%
45.3 1
 
1.0%
41.2 1
 
1.0%
41.0 2
2.0%
40.6 1
 
1.0%
36.5 4
4.0%
35.5 1
 
1.0%
31.98 1
 
1.0%
29.4 1
 
1.0%

콜레스테롤
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.4462
Minimum0
Maximum120
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:47.807428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57.5
Q377
95-th percentile100.357
Maximum120
Range120
Interquartile range (IQR)77

Descriptive statistics

Standard deviation41.21937
Coefficient of variation (CV)0.97109682
Kurtosis-1.7112045
Mean42.4462
Median Absolute Deviation (MAD)48.815
Skewness0.093790296
Sum4244.62
Variance1699.0365
MonotonicityNot monotonic
2023-12-10T15:48:47.973785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 45
45.0%
69.0 2
 
2.0%
55.0 2
 
2.0%
72.5 2
 
2.0%
77.0 2
 
2.0%
89.0 2
 
2.0%
60.0 2
 
2.0%
110.36 1
 
1.0%
68.87 1
 
1.0%
88.2 1
 
1.0%
Other values (40) 40
40.0%
ValueCountFrequency (%)
0.0 45
45.0%
4.8 1
 
1.0%
18.0 1
 
1.0%
51.93 1
 
1.0%
55.0 2
 
2.0%
60.0 2
 
2.0%
60.41 1
 
1.0%
62.82 1
 
1.0%
64.65 1
 
1.0%
68.55 1
 
1.0%
ValueCountFrequency (%)
120.0 1
1.0%
113.8 1
1.0%
110.36 1
1.0%
109.1 1
1.0%
103.53 1
1.0%
100.19 1
1.0%
94.74 1
1.0%
94.0 1
1.0%
93.9 1
1.0%
92.0 1
1.0%

총지방산
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

에너지
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.7307
Minimum12.31
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:48.113414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.31
5-th percentile20.95
Q1105.165
median183
Q3259.25
95-th percentile368.35
Maximum519
Range506.69
Interquartile range (IQR)154.085

Descriptive statistics

Standard deviation106.7133
Coefficient of variation (CV)0.5839922
Kurtosis-0.092109499
Mean182.7307
Median Absolute Deviation (MAD)77
Skewness0.471976
Sum18273.07
Variance11387.729
MonotonicityNot monotonic
2023-12-10T15:48:48.274629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186.0 3
 
3.0%
21.0 2
 
2.0%
208.0 2
 
2.0%
289.0 2
 
2.0%
17.0 2
 
2.0%
183.0 2
 
2.0%
26.0 2
 
2.0%
202.0 2
 
2.0%
137.0 2
 
2.0%
112.0 2
 
2.0%
Other values (76) 79
79.0%
ValueCountFrequency (%)
12.31 1
1.0%
17.0 2
2.0%
19.0 1
1.0%
20.0 1
1.0%
21.0 2
2.0%
24.0 1
1.0%
26.0 2
2.0%
27.0 1
1.0%
38.0 1
1.0%
66.0 1
1.0%
ValueCountFrequency (%)
519.0 1
1.0%
414.0 1
1.0%
390.0 1
1.0%
379.0 1
1.0%
375.0 1
1.0%
368.0 1
1.0%
361.0 1
1.0%
347.0 1
1.0%
344.0 1
1.0%
332.0 1
1.0%

포화지방산
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0322
Minimum0
Maximum15.47
Zeros62
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:48.412659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.6
95-th percentile10.9575
Maximum15.47
Range15.47
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation3.7921238
Coefficient of variation (CV)1.866019
Kurtosis3.0548554
Mean2.0322
Median Absolute Deviation (MAD)0
Skewness1.9587101
Sum203.22
Variance14.380203
MonotonicityNot monotonic
2023-12-10T15:48:48.561693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 62
62.0%
0.05 2
 
2.0%
0.04 2
 
2.0%
1.62 1
 
1.0%
3.62 1
 
1.0%
0.75 1
 
1.0%
2.49 1
 
1.0%
0.37 1
 
1.0%
0.58 1
 
1.0%
0.56 1
 
1.0%
Other values (27) 27
27.0%
ValueCountFrequency (%)
0.0 62
62.0%
0.04 2
 
2.0%
0.05 2
 
2.0%
0.31 1
 
1.0%
0.35 1
 
1.0%
0.37 1
 
1.0%
0.56 1
 
1.0%
0.58 1
 
1.0%
0.75 1
 
1.0%
1.62 1
 
1.0%
ValueCountFrequency (%)
15.47 1
1.0%
14.58 1
1.0%
14.42 1
1.0%
11.6 1
1.0%
11.29 1
1.0%
10.94 1
1.0%
9.75 1
1.0%
9.64 1
1.0%
9.31 1
1.0%
8.05 1
1.0%

총단일불포화
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4866
Minimum0
Maximum17.09
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:48.737586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.1825
95-th percentile14.8665
Maximum17.09
Range17.09
Interquartile range (IQR)3.1825

Descriptive statistics

Standard deviation4.7060492
Coefficient of variation (CV)1.8925638
Kurtosis2.5817318
Mean2.4866
Median Absolute Deviation (MAD)0
Skewness1.9194963
Sum248.66
Variance22.146899
MonotonicityNot monotonic
2023-12-10T15:48:48.896952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 64
64.0%
0.56 2
 
2.0%
1.75 1
 
1.0%
3.9 1
 
1.0%
10.5 1
 
1.0%
2.96 1
 
1.0%
0.02 1
 
1.0%
0.35 1
 
1.0%
0.83 1
 
1.0%
4.33 1
 
1.0%
Other values (26) 26
26.0%
ValueCountFrequency (%)
0.0 64
64.0%
0.01 1
 
1.0%
0.02 1
 
1.0%
0.04 1
 
1.0%
0.25 1
 
1.0%
0.35 1
 
1.0%
0.56 2
 
2.0%
0.83 1
 
1.0%
1.75 1
 
1.0%
2.63 1
 
1.0%
ValueCountFrequency (%)
17.09 1
1.0%
16.81 1
1.0%
16.74 1
1.0%
15.92 1
1.0%
15.37 1
1.0%
14.84 1
1.0%
12.94 1
1.0%
12.8 1
1.0%
12.09 1
1.0%
10.5 1
1.0%

총다중불포화
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.618
Minimum0
Maximum6.41
Zeros62
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:49.035721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.7175
95-th percentile3.4745
Maximum6.41
Range6.41
Interquartile range (IQR)0.7175

Descriptive statistics

Standard deviation1.2099303
Coefficient of variation (CV)1.957816
Kurtosis6.856698
Mean0.618
Median Absolute Deviation (MAD)0
Skewness2.5390321
Sum61.8
Variance1.4639313
MonotonicityNot monotonic
2023-12-10T15:48:49.195170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 62
62.0%
1.83 2
 
2.0%
1.33 1
 
1.0%
0.93 1
 
1.0%
1.16 1
 
1.0%
2.17 1
 
1.0%
0.09 1
 
1.0%
0.17 1
 
1.0%
0.28 1
 
1.0%
0.33 1
 
1.0%
Other values (28) 28
28.0%
ValueCountFrequency (%)
0.0 62
62.0%
0.09 1
 
1.0%
0.17 1
 
1.0%
0.2 1
 
1.0%
0.24 1
 
1.0%
0.26 1
 
1.0%
0.28 1
 
1.0%
0.33 1
 
1.0%
0.36 1
 
1.0%
0.41 1
 
1.0%
ValueCountFrequency (%)
6.41 1
1.0%
4.6 1
1.0%
4.36 1
1.0%
4.17 1
1.0%
3.94 1
1.0%
3.45 1
1.0%
2.49 1
1.0%
2.46 1
1.0%
2.32 1
1.0%
2.25 1
1.0%

총트랜스지방산
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0659
Minimum0
Maximum0.67
Zeros77
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:49.323966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.552
Maximum0.67
Range0.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16330609
Coefficient of variation (CV)2.4780894
Kurtosis6.4722379
Mean0.0659
Median Absolute Deviation (MAD)0
Skewness2.7404767
Sum6.59
Variance0.026668879
MonotonicityNot monotonic
2023-12-10T15:48:49.450654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 77
77.0%
0.07 2
 
2.0%
0.1 2
 
2.0%
0.16 2
 
2.0%
0.59 2
 
2.0%
0.47 1
 
1.0%
0.3 1
 
1.0%
0.11 1
 
1.0%
0.14 1
 
1.0%
0.08 1
 
1.0%
Other values (10) 10
 
10.0%
ValueCountFrequency (%)
0.0 77
77.0%
0.03 1
 
1.0%
0.06 1
 
1.0%
0.07 2
 
2.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
0.1 2
 
2.0%
0.11 1
 
1.0%
0.14 1
 
1.0%
0.16 2
 
2.0%
ValueCountFrequency (%)
0.67 1
1.0%
0.66 1
1.0%
0.65 1
1.0%
0.59 2
2.0%
0.55 1
1.0%
0.47 1
1.0%
0.43 1
1.0%
0.33 1
1.0%
0.3 1
1.0%
0.18 1
1.0%

이소루신
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.78
Minimum0
Maximum2910
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:49.601237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3746.75
95-th percentile1183.25
Maximum2910
Range2910
Interquartile range (IQR)746.75

Descriptive statistics

Standard deviation509.11505
Coefficient of variation (CV)1.4190174
Kurtosis5.0366501
Mean358.78
Median Absolute Deviation (MAD)0
Skewness1.7767374
Sum35878
Variance259198.13
MonotonicityNot monotonic
2023-12-10T15:48:49.761824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
1630 1
 
1.0%
776 1
 
1.0%
1349 1
 
1.0%
2910 1
 
1.0%
852 1
 
1.0%
925 1
 
1.0%
745 1
 
1.0%
12 1
 
1.0%
94 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
12 1
 
1.0%
92 1
 
1.0%
94 1
 
1.0%
105 1
 
1.0%
118 1
 
1.0%
297 1
 
1.0%
424 1
 
1.0%
485 1
 
1.0%
533 1
 
1.0%
ValueCountFrequency (%)
2910 1
1.0%
1630 1
1.0%
1349 1
1.0%
1296 1
1.0%
1245 1
1.0%
1180 1
1.0%
1100 1
1.0%
1088 1
1.0%
1087 1
1.0%
1009 1
1.0%

루신
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.6
Minimum0
Maximum4270
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:49.909954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31350
95-th percentile2248.6
Maximum4270
Range4270
Interquartile range (IQR)1350

Descriptive statistics

Standard deviation872.22487
Coefficient of variation (CV)1.3573372
Kurtosis1.7445857
Mean642.6
Median Absolute Deviation (MAD)0
Skewness1.300739
Sum64260
Variance760776.22
MonotonicityNot monotonic
2023-12-10T15:48:50.056080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
2800 1
 
1.0%
1365 1
 
1.0%
2494 1
 
1.0%
4270 1
 
1.0%
1468 1
 
1.0%
1578 1
 
1.0%
1345 1
 
1.0%
23 1
 
1.0%
177 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
23 1
 
1.0%
166 1
 
1.0%
177 1
 
1.0%
194 1
 
1.0%
209 1
 
1.0%
783 1
 
1.0%
952 1
 
1.0%
953 1
 
1.0%
972 1
 
1.0%
ValueCountFrequency (%)
4270 1
1.0%
2800 1
1.0%
2494 1
1.0%
2291 1
1.0%
2260 1
1.0%
2248 1
1.0%
2197 1
1.0%
1954 1
1.0%
1872 1
1.0%
1838 1
1.0%

라이신
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649.71
Minimum0
Maximum2850
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:50.190450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31443
95-th percentile2234.2
Maximum2850
Range2850
Interquartile range (IQR)1443

Descriptive statistics

Standard deviation846.16828
Coefficient of variation (CV)1.3023784
Kurtosis-0.92193929
Mean649.71
Median Absolute Deviation (MAD)0
Skewness0.7928662
Sum64971
Variance716000.75
MonotonicityNot monotonic
2023-12-10T15:48:50.631458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
2208 1
 
1.0%
1808 1
 
1.0%
1494 1
 
1.0%
2850 1
 
1.0%
1804 1
 
1.0%
1246 1
 
1.0%
1421 1
 
1.0%
16 1
 
1.0%
149 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
16 1
 
1.0%
78 1
 
1.0%
108 1
 
1.0%
113 1
 
1.0%
149 1
 
1.0%
636 1
 
1.0%
701 1
 
1.0%
883 1
 
1.0%
1052 1
 
1.0%
ValueCountFrequency (%)
2850 1
1.0%
2259 1
1.0%
2257 1
1.0%
2251 1
1.0%
2238 1
1.0%
2234 1
1.0%
2208 1
1.0%
2198 1
1.0%
2065 1
1.0%
1896 1
1.0%

메타오닌
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.27
Minimum0
Maximum2830
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:50.795854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3415
95-th percentile703.4
Maximum2830
Range2830
Interquartile range (IQR)415

Descriptive statistics

Standard deviation384.76654
Coefficient of variation (CV)1.7156398
Kurtosis20.644602
Mean224.27
Median Absolute Deviation (MAD)0
Skewness3.6133089
Sum22427
Variance148045.29
MonotonicityNot monotonic
2023-12-10T15:48:50.950211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 55
55.0%
524 2
 
2.0%
671 1
 
1.0%
145 1
 
1.0%
495 1
 
1.0%
655 1
 
1.0%
2830 1
 
1.0%
579 1
 
1.0%
480 1
 
1.0%
18 1
 
1.0%
Other values (35) 35
35.0%
ValueCountFrequency (%)
0 55
55.0%
18 1
 
1.0%
30 1
 
1.0%
31 1
 
1.0%
37 1
 
1.0%
39 1
 
1.0%
143 1
 
1.0%
145 1
 
1.0%
156 1
 
1.0%
239 1
 
1.0%
ValueCountFrequency (%)
2830 1
1.0%
1315 1
1.0%
936 1
1.0%
849 1
1.0%
711 1
1.0%
703 1
1.0%
692 1
1.0%
671 1
1.0%
655 1
1.0%
620 1
1.0%

페닐알라닌
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean347.75
Minimum0
Maximum3720
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:51.111008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3655
95-th percentile1059.55
Maximum3720
Range3720
Interquartile range (IQR)655

Descriptive statistics

Standard deviation542.32523
Coefficient of variation (CV)1.5595262
Kurtosis14.263669
Mean347.75
Median Absolute Deviation (MAD)0
Skewness2.9171487
Sum34775
Variance294116.65
MonotonicityNot monotonic
2023-12-10T15:48:51.272881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
1483 1
 
1.0%
670 1
 
1.0%
1850 1
 
1.0%
3720 1
 
1.0%
712 1
 
1.0%
843 1
 
1.0%
704 1
 
1.0%
20 1
 
1.0%
97 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
20 1
 
1.0%
97 1
 
1.0%
100 1
 
1.0%
122 1
 
1.0%
125 1
 
1.0%
412 1
 
1.0%
439 1
 
1.0%
463 1
 
1.0%
480 1
 
1.0%
ValueCountFrequency (%)
3720 1
1.0%
1850 1
1.0%
1483 1
1.0%
1338 1
1.0%
1203 1
1.0%
1052 1
1.0%
1038 1
1.0%
1012 1
1.0%
997 1
1.0%
914 1
1.0%

트레오닌
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.25
Minimum0
Maximum3690
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:51.436007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3781.25
95-th percentile1228.55
Maximum3690
Range3690
Interquartile range (IQR)781.25

Descriptive statistics

Standard deviation580.07273
Coefficient of variation (CV)1.4602208
Kurtosis9.2600157
Mean397.25
Median Absolute Deviation (MAD)0
Skewness2.2908878
Sum39725
Variance336484.37
MonotonicityNot monotonic
2023-12-10T15:48:51.597343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 55
55.0%
757 2
 
2.0%
1577 1
 
1.0%
815 1
 
1.0%
1894 1
 
1.0%
3690 1
 
1.0%
837 1
 
1.0%
936 1
 
1.0%
765 1
 
1.0%
18 1
 
1.0%
Other values (35) 35
35.0%
ValueCountFrequency (%)
0 55
55.0%
18 1
 
1.0%
121 1
 
1.0%
140 1
 
1.0%
154 1
 
1.0%
194 1
 
1.0%
321 1
 
1.0%
563 1
 
1.0%
580 1
 
1.0%
581 1
 
1.0%
ValueCountFrequency (%)
3690 1
1.0%
1894 1
1.0%
1577 1
1.0%
1346 1
1.0%
1334 1
1.0%
1223 1
1.0%
1170 1
1.0%
1135 1
1.0%
1117 1
1.0%
1061 1
1.0%

탄수화물
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.8494
Minimum0
Maximum76.6
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:51.752159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q39.1
95-th percentile68.3925
Maximum76.6
Range76.6
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation23.891576
Coefficient of variation (CV)1.7250983
Kurtosis0.52442843
Mean13.8494
Median Absolute Deviation (MAD)0.5
Skewness1.4818331
Sum1384.94
Variance570.80741
MonotonicityNot monotonic
2023-12-10T15:48:51.911839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 37
37.0%
0.5 4
 
4.0%
0.2 4
 
4.0%
3.5 4
 
4.0%
0.1 4
 
4.0%
0.3 3
 
3.0%
5.5 3
 
3.0%
0.8 3
 
3.0%
0.7 3
 
3.0%
71.1 2
 
2.0%
Other values (28) 33
33.0%
ValueCountFrequency (%)
0.0 37
37.0%
0.1 4
 
4.0%
0.2 4
 
4.0%
0.3 3
 
3.0%
0.5 4
 
4.0%
0.54 1
 
1.0%
0.6 1
 
1.0%
0.7 3
 
3.0%
0.8 3
 
3.0%
1.2 1
 
1.0%
ValueCountFrequency (%)
76.6 1
1.0%
72.2 2
2.0%
71.1 2
2.0%
68.25 1
1.0%
61.6 2
2.0%
58.8 1
1.0%
58.6 1
1.0%
54.4 2
2.0%
53.29 1
1.0%
53.2 2
2.0%

트립토판
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.48
Minimum0
Maximum522
Zeros56
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:52.092050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3182.5
95-th percentile277.3
Maximum522
Range522
Interquartile range (IQR)182.5

Descriptive statistics

Standard deviation113.4661
Coefficient of variation (CV)1.3756801
Kurtosis0.90065093
Mean82.48
Median Absolute Deviation (MAD)0
Skewness1.1712526
Sum8248
Variance12874.555
MonotonicityNot monotonic
2023-12-10T15:48:52.232566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 56
56.0%
184 2
 
2.0%
219 2
 
2.0%
190 2
 
2.0%
233 1
 
1.0%
174 1
 
1.0%
522 1
 
1.0%
225 1
 
1.0%
218 1
 
1.0%
1 1
 
1.0%
Other values (32) 32
32.0%
ValueCountFrequency (%)
0 56
56.0%
1 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%
12 1
 
1.0%
30 1
 
1.0%
60 1
 
1.0%
100 1
 
1.0%
120 1
 
1.0%
123 1
 
1.0%
ValueCountFrequency (%)
522 1
1.0%
353 1
1.0%
321 1
1.0%
300 1
1.0%
283 1
1.0%
277 1
1.0%
266 1
1.0%
265 1
1.0%
244 1
1.0%
233 1
1.0%

발린
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.31
Minimum0
Maximum4000
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:52.382000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3818.5
95-th percentile1289.3
Maximum4000
Range4000
Interquartile range (IQR)818.5

Descriptive statistics

Standard deviation620.56784
Coefficient of variation (CV)1.4764527
Kurtosis9.9573606
Mean420.31
Median Absolute Deviation (MAD)0
Skewness2.3785931
Sum42031
Variance385104.44
MonotonicityNot monotonic
2023-12-10T15:48:52.527467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
1810 1
 
1.0%
698 1
 
1.0%
1897 1
 
1.0%
4000 1
 
1.0%
912 1
 
1.0%
920 1
 
1.0%
867 1
 
1.0%
21 1
 
1.0%
110 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
21 1
 
1.0%
110 1
 
1.0%
113 1
 
1.0%
140 1
 
1.0%
159 1
 
1.0%
458 1
 
1.0%
577 1
 
1.0%
581 1
 
1.0%
640 1
 
1.0%
ValueCountFrequency (%)
4000 1
1.0%
1897 1
1.0%
1810 1
1.0%
1529 1
1.0%
1371 1
1.0%
1285 1
1.0%
1221 1
1.0%
1210 1
1.0%
1194 1
1.0%
1126 1
1.0%

히스티딘
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.75
Minimum0
Maximum3140
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:52.661012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3605
95-th percentile966.65
Maximum3140
Range3140
Interquartile range (IQR)605

Descriptive statistics

Standard deviation492.64629
Coefficient of variation (CV)1.5651987
Kurtosis10.693176
Mean314.75
Median Absolute Deviation (MAD)0
Skewness2.6207219
Sum31475
Variance242700.37
MonotonicityNot monotonic
2023-12-10T15:48:52.816934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 55
55.0%
1364 1
 
1.0%
779 1
 
1.0%
409 1
 
1.0%
3140 1
 
1.0%
364 1
 
1.0%
676 1
 
1.0%
680 1
 
1.0%
29 1
 
1.0%
51 1
 
1.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0 55
55.0%
29 1
 
1.0%
51 1
 
1.0%
63 1
 
1.0%
64 1
 
1.0%
83 1
 
1.0%
330 1
 
1.0%
364 1
 
1.0%
406 1
 
1.0%
409 1
 
1.0%
ValueCountFrequency (%)
3140 1
1.0%
1829 1
1.0%
1700 1
1.0%
1364 1
1.0%
1055 1
1.0%
962 1
1.0%
928 1
1.0%
840 1
1.0%
831 1
1.0%
811 1
1.0%

아르기닌
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean530.15
Minimum0
Maximum3090
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:52.969169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31058.5
95-th percentile1803.15
Maximum3090
Range3090
Interquartile range (IQR)1058.5

Descriptive statistics

Standard deviation713.55421
Coefficient of variation (CV)1.3459478
Kurtosis0.92445667
Mean530.15
Median Absolute Deviation (MAD)0
Skewness1.1993336
Sum53015
Variance509159.6
MonotonicityNot monotonic
2023-12-10T15:48:53.137190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 55
55.0%
1146 2
 
2.0%
1990 1
 
1.0%
832 1
 
1.0%
2325 1
 
1.0%
3090 1
 
1.0%
1031 1
 
1.0%
1242 1
 
1.0%
1066 1
 
1.0%
26 1
 
1.0%
Other values (35) 35
35.0%
ValueCountFrequency (%)
0 55
55.0%
26 1
 
1.0%
118 1
 
1.0%
175 1
 
1.0%
189 1
 
1.0%
213 1
 
1.0%
760 1
 
1.0%
767 1
 
1.0%
820 1
 
1.0%
826 1
 
1.0%
ValueCountFrequency (%)
3090 1
1.0%
2580 1
1.0%
2325 1
1.0%
1990 1
1.0%
1977 1
1.0%
1794 1
1.0%
1754 1
1.0%
1688 1
1.0%
1545 1
1.0%
1476 1
1.0%

최종 수정 일시
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019-12-04 18:00:00
100 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-04 18:00:00
2nd row2019-12-04 18:00:00
3rd row2019-12-04 18:00:00
4th row2019-12-04 18:00:00
5th row2019-12-04 18:00:00

Common Values

ValueCountFrequency (%)
2019-12-04 18:00:00 100
100.0%

Length

2023-12-10T15:48:53.292394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:53.418866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-04 100
50.0%
18:00:00 100
50.0%

전송일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019120405
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019120405
2nd row2019120405
3rd row2019120405
4th row2019120405
5th row2019120405

Common Values

ValueCountFrequency (%)
2019120405 100
100.0%

Length

2023-12-10T15:48:53.535875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:48:53.632607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019120405 100
100.0%

지질
Real number (ℝ)

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8226
Minimum0.1
Maximum36.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:53.755361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.319
Q10.9
median4.7
Q313.2975
95-th percentile29.674
Maximum36.91
Range36.81
Interquartile range (IQR)12.3975

Descriptive statistics

Standard deviation10.210273
Coefficient of variation (CV)1.1572862
Kurtosis0.70178316
Mean8.8226
Median Absolute Deviation (MAD)4
Skewness1.3157201
Sum882.26
Variance104.24968
MonotonicityNot monotonic
2023-12-10T15:48:53.941973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9 5
 
5.0%
0.7 5
 
5.0%
1.3 3
 
3.0%
4.7 3
 
3.0%
0.8 3
 
3.0%
1.1 3
 
3.0%
2.1 2
 
2.0%
0.4 2
 
2.0%
6.9 2
 
2.0%
2.7 2
 
2.0%
Other values (63) 70
70.0%
ValueCountFrequency (%)
0.1 2
 
2.0%
0.16 1
 
1.0%
0.3 2
 
2.0%
0.32 1
 
1.0%
0.4 2
 
2.0%
0.43 1
 
1.0%
0.5 2
 
2.0%
0.6 2
 
2.0%
0.7 5
5.0%
0.73 1
 
1.0%
ValueCountFrequency (%)
36.91 1
1.0%
36.64 1
1.0%
35.7 1
1.0%
34.65 1
1.0%
32.98 1
1.0%
29.5 1
1.0%
28.72 1
1.0%
28.45 1
1.0%
28.4 1
1.0%
27.5 1
1.0%

식물성지질
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.305
Minimum0
Maximum6.9
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:54.100164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.18
Maximum6.9
Range6.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0827737
Coefficient of variation (CV)3.5500779
Kurtosis22.022481
Mean0.305
Median Absolute Deviation (MAD)0
Skewness4.5926421
Sum30.5
Variance1.172399
MonotonicityNot monotonic
2023-12-10T15:48:54.232936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 84
84.0%
0.7 3
 
3.0%
0.9 2
 
2.0%
0.3 1
 
1.0%
3.2 1
 
1.0%
5.7 1
 
1.0%
0.6 1
 
1.0%
6.9 1
 
1.0%
0.5 1
 
1.0%
0.8 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 84
84.0%
0.1 1
 
1.0%
0.3 1
 
1.0%
0.5 1
 
1.0%
0.6 1
 
1.0%
0.7 3
 
3.0%
0.8 1
 
1.0%
0.9 2
 
2.0%
1.1 1
 
1.0%
2.7 1
 
1.0%
ValueCountFrequency (%)
6.9 1
 
1.0%
5.7 1
 
1.0%
4.7 1
 
1.0%
3.2 1
 
1.0%
2.7 1
 
1.0%
1.1 1
 
1.0%
0.9 2
2.0%
0.8 1
 
1.0%
0.7 3
3.0%
0.6 1
 
1.0%

동물성지질
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6223
Minimum0
Maximum29.5
Zeros73
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:48:54.371676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.6325
95-th percentile14.22
Maximum29.5
Range29.5
Interquartile range (IQR)0.6325

Descriptive statistics

Standard deviation6.2593584
Coefficient of variation (CV)2.3869727
Kurtosis8.322455
Mean2.6223
Median Absolute Deviation (MAD)0
Skewness2.8982396
Sum262.23
Variance39.179567
MonotonicityNot monotonic
2023-12-10T15:48:54.523393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 73
73.0%
2.1 2
 
2.0%
8.4 1
 
1.0%
28.4 1
 
1.0%
4.7 1
 
1.0%
0.4 1
 
1.0%
13.2 1
 
1.0%
8.9 1
 
1.0%
1.1 1
 
1.0%
10.8 1
 
1.0%
Other values (17) 17
 
17.0%
ValueCountFrequency (%)
0.0 73
73.0%
0.4 1
 
1.0%
0.6 1
 
1.0%
0.73 1
 
1.0%
1.1 1
 
1.0%
1.3 1
 
1.0%
2.1 2
 
2.0%
2.6 1
 
1.0%
4.3 1
 
1.0%
4.7 1
 
1.0%
ValueCountFrequency (%)
29.5 1
1.0%
28.4 1
1.0%
25.7 1
1.0%
25.6 1
1.0%
16.5 1
1.0%
14.1 1
1.0%
13.9 1
1.0%
13.2 1
1.0%
12.7 1
1.0%
10.8 1
1.0%

Sample

식품코드식품 카테고리코드단백질식물성 단백질동물성 단백질총 식이섬유수분화분비타민 A레티놀베타카로틴비타민 D식품 카테고리명칭비타민 E비타민 K비타민 C비타민 B1비타민 B2니아신비타민 B6엽산비타민 B12판토텐산식품 명칭비오틴칼슘식물성 칼슘동물성 칼슘\t인나트륨염소칼륨마그네슘철분량식물성 철동물성 철아연구리불소망간요오드셀레늄콜레스테롤총지방산에너지포화지방산총단일불포화총다중불포화총트랜스지방산이소루신루신라이신메타오닌페닐알라닌트레오닌탄수화물트립토판발린히스티딘아르기닌최종 수정 일시전송일자지질식물성지질동물성지질
011101190120G01122.920.00.00.070.51.60.01500.0어패류및기타수산물0.00.02.00.150.15.770.3519.06.31.07송어| 무지개송어| 구운것0.0860026956.00448310.381000.00.00.510.0600.020.013.269.0<NA>150.01.621.751.830.00000000.000002019-12-04 18:00:0020191204055.820.00.0
19105800100G00916.980.00.00.054.60.70.01200.0육류0.258.231.070.040.152.160.03.02.520.67소고기| 한우(1+등급)| 등심(윗등심살)| 생것1.9140013441.00237152.381000.00.05.360.0400.011.018.6879.54<NA>329.09.3112.80.770.55689126514762856507570.01847665509762019-12-04 18:00:00201912040528.450.00.0
29105800110G00920.830.00.00.063.30.840.0600.0육류0.196.220.840.040.162.460.05.02.62.32소고기| 한우(1+등급)| 목심(목심살)| 생것1.8840017646.00272192.561000.00.05.980.0500.020.8419.1974.01<NA>222.05.757.460.420.33811148220653637189600.026589781112912019-12-04 18:00:00201912040514.750.00.0
311100420140G01120.10.00.00.051.40.90.0270018.0어패류및기타수산물1.50.04.00.040.079.80.828.01.00.47다랑어| 참다랑어| 지방육| 생것0.070018071.00230351.61000.00.00.50.0400.00.00.055.0<NA>344.05.9110.26.410.0880150018005707508500.12301000170011002019-12-04 18:00:00201912040527.50.00.0
411100420150G01123.90.00.00.072.81.80.0900.0어패류및기타수산물0.00.02.00.090.1411.30.00.00.00.0다랑어| 황다랑어| 생것0.019002820.00001.61000.00.00.00.000.00.00.00.0<NA>115.00.00.00.00.00000000.200002019-12-04 18:00:0020191204051.30.00.0
511200420160G01116.00.016.00.063.22.122.02200.0어패류및기타수산물1.00.02.00.030.076.70.088.00.00.0다랑어| 참다랑어| 샐러드0.017017178402.0017801.01000.01.00.560.000.00.041.271.0<NA>187.00.00.00.00.00000009.400002019-12-04 18:00:0020191204059.30.09.3
611200420170G01123.90.023.90.072.81.89.0900.0어패류및기타수산물0.40.12.00.090.1411.30.642.00.520.75다랑어| 황다랑어| 생것0.01901928250.00480501.61000.01.60.50.0600.00.036.582.0<NA>114.00.00.00.00.0129622912259849133811170.2353152962319772019-12-04 18:00:0020191204051.30.01.3
711200420180G01121.60.021.60.072.83.20.0000.0어패류및기타수산물1.60.20.00.080.1511.00.2210.72.990.21다랑어| 황다랑어| 통조림0.062062131435.0033308.01000.08.00.460.0200.010.080.418.0<NA>112.00.00.00.00.0958165417585127777970.32831126182911532019-12-04 18:00:0020191204052.10.02.1
87200280010G0072.02.00.06.0591.00.50.0002.0버섯류0.00.05.00.050.213.80.1361.80.041.5표고버섯| 생것0.0440254.0025601.21001.20.00.40.0500.230.024.80.0<NA>38.00.00.00.00.00000005.500002019-12-04 18:00:0020191204050.30.30.0
97200280020G00718.518.50.031.611.04.30.00017.0버섯류0.00.00.00.421.120.00.4592.70.060.0표고버섯| 말린것0.01313029620.00217204.21004.20.00.420.500.09.246.10.0<NA>282.00.00.00.00.029795263626743971458.812310067958262019-12-04 18:00:0020191204053.23.20.0
식품코드식품 카테고리코드단백질식물성 단백질동물성 단백질총 식이섬유수분화분비타민 A레티놀베타카로틴비타민 D식품 카테고리명칭비타민 E비타민 K비타민 C비타민 B1비타민 B2니아신비타민 B6엽산비타민 B12판토텐산식품 명칭비오틴칼슘식물성 칼슘동물성 칼슘\t인나트륨염소칼륨마그네슘철분량식물성 철동물성 철아연구리불소망간요오드셀레늄콜레스테롤총지방산에너지포화지방산총단일불포화총다중불포화총트랜스지방산이소루신루신라이신메타오닌페닐알라닌트레오닌탄수화물트립토판발린히스티딘아르기닌최종 수정 일시전송일자지질식물성지질동물성지질
909200060210G00933.40.033.40.060.21.115.01500.0육류0.422.40.00.080.1314.80.6415.60.371.04닭고기| 가슴살| 튀긴것0.01601624679.00276311.11000.01.10.950.0500.00.026.291.0<NA>187.00.00.00.00.00000000.500002019-12-04 18:00:0020191204054.70.04.7
919102000320G00928.470.00.00.060.31.330.0400.59육류0.480.00.890.720.394.750.00.00.690.48돼지고기| 사태| 구운것(팬)2.3180025599.00412271.21000.00.03.830.0800.011.4424.79100.19<NA>209.03.594.331.330.0610882197225170399711700.0244121092817942019-12-04 18:00:0020191204059.740.00.0
929102000330G00919.780.00.00.068.40.990.0700.82육류0.410.01.120.660.094.90.03.00.510.86돼지고기| 살코기| 생것2.3460018349.00325210.651000.00.02.130.0300.010.6720.6762.82<NA>186.03.623.91.820.07950151216505247939520.0194107675711722019-12-04 18:00:00201912040511.250.00.0
939102000340G00917.920.00.00.067.90.950.0901.15육류0.470.01.950.570.235.750.04.01.01.42돼지고기| 삼겹살(갈매기살)| 생것2.6660018456.00307201.581000.00.02.730.100.021.7925.2576.72<NA>186.05.044.252.250.08760145114895837768840.017799454211462019-12-04 18:00:00201912040512.160.00.0
949102000350G00917.880.00.00.065.30.950.01100.82육류0.20.01.630.370.125.550.04.00.430.95돼지고기| 삼겹살(등갈비)| 생것4.03180017952.00297200.711000.00.02.330.0400.010.5324.0684.1<NA>231.06.386.473.450.14791137714324917168480.017071955610732019-12-04 18:00:00201912040517.190.00.0
959102000360G00913.270.00.00.050.30.690.01900.67육류0.290.00.440.490.161.190.00.00.510.0돼지고기| 삼겹살(삼겹살)| 생것0.6360014355.00231140.421000.00.01.70.0300.01.8814.0668.55<NA>379.014.4215.374.170.1648598810523874635630.01005814388202019-12-04 18:00:00201912040535.70.00.0
969202000370G00917.20.017.20.053.30.86.0600.0육류0.40.01.00.680.34.40.083.90.840.26돼지고기| 삼겹살0.080813244.0210020240.71000.00.72.40.0500.010.08.055.0<NA>331.015.4716.813.940.04247838831564123210.31535776879372019-12-04 18:00:00201912040528.40.028.4
979102000380G00919.580.00.00.041.80.580.01000.16육류0.250.00.320.430.262.780.00.00.770.0돼지고기| 삼겹살(삼겹살)| 삶은것0.7170014040.00173140.581000.00.02.590.0400.024.7622.4593.9<NA>414.014.5815.924.360.16752158716615687669050.015888258312932019-12-04 18:00:00201912040536.640.00.0
989105600370G00922.660.00.00.071.31.040.0200.0육류0.140.00.540.090.183.070.04.01.030.77소고기| 한우(1등급)| 우둔(홍두깨살)| 생것2.2850021146.00367232.211000.00.04.380.0500.010.021.5651.93<NA>145.02.22.630.20.111009183818514659149920.0219108484014632019-12-04 18:00:0020191204055.380.00.0
999105600380G00917.590.00.00.063.40.910.0500.0육류0.30.00.970.040.132.030.03.01.260.49소고기| 한우(1등급)| 채끝(채끝살)| 생것1.3540018147.00308212.321000.00.04.140.0400.010.023.8760.41<NA>218.06.227.150.470.3753144115604087288350.018285063311592019-12-04 18:00:00201912040515.790.00.0