Overview

Dataset statistics

Number of variables75
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory666.6 B

Variable types

Numeric60
Categorical13
Text2

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000026

Alerts

AFS001 has constant value ""Constant
2 has constant value ""Constant
유방암 has constant value ""Constant
X has constant value ""Constant
X.1 has constant value ""Constant
2021-01-21 has constant value ""Constant
0.5 is highly imbalanced (60.7%)Imbalance
26201001 has unique valuesUnique
2.3067 has 1 (3.4%) zerosZeros
0 has 20 (69.0%) zerosZeros
0.7649 has 2 (6.9%) zerosZeros
0.0455 has 19 (65.5%) zerosZeros
1.5169 has 2 (6.9%) zerosZeros
51.12 has 2 (6.9%) zerosZeros
0.1 has 20 (69.0%) zerosZeros
313.22 has 2 (6.9%) zerosZeros
0.2 has 22 (75.9%) zerosZeros
22.746 has 3 (10.3%) zerosZeros
2.9457 has 9 (31.0%) zerosZeros
0.0186 has 1 (3.4%) zerosZeros
0.0496 has 1 (3.4%) zerosZeros
0.0968 has 2 (6.9%) zerosZeros
0.3 has 15 (51.7%) zerosZeros
0.0234 has 1 (3.4%) zerosZeros
0.134 has 13 (44.8%) zerosZeros
27.865 has 2 (6.9%) zerosZeros
0.203 has 19 (65.5%) zerosZeros
3.699 has 8 (27.6%) zerosZeros
2.296 has 7 (24.1%) zerosZeros
0.6139 has 2 (6.9%) zerosZeros
0.0084 has 19 (65.5%) zerosZeros
0.4 has 20 (69.0%) zerosZeros
0.2534 has 1 (3.4%) zerosZeros
0.01 has 11 (37.9%) zerosZeros
0.938 has 12 (41.4%) zerosZeros
2.0315 has 7 (24.1%) zerosZeros
0.308 has 7 (24.1%) zerosZeros
0.7952 has 7 (24.1%) zerosZeros
0.9269 has 7 (24.1%) zerosZeros
19.52 has 3 (10.3%) zerosZeros
30.53 has 3 (10.3%) zerosZeros
21.47 has 3 (10.3%) zerosZeros
5.41 has 3 (10.3%) zerosZeros
21.25 has 3 (10.3%) zerosZeros
17.46 has 3 (10.3%) zerosZeros
3.96 has 3 (10.3%) zerosZeros
24.35 has 3 (10.3%) zerosZeros
16.7 has 3 (10.3%) zerosZeros
55.35 has 3 (10.3%) zerosZeros

Reproduction

Analysis started2023-12-10 06:38:47.673008
Analysis finished2023-12-10 06:38:48.493239
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

26201001
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26201016
Minimum26201002
Maximum26201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:48.583608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26201002
5-th percentile26201003
Q126201009
median26201016
Q326201023
95-th percentile26201029
Maximum26201030
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)3.2497569 × 10-7
Kurtosis-1.2
Mean26201016
Median Absolute Deviation (MAD)7
Skewness0
Sum7.5982946 × 108
Variance72.5
MonotonicityStrictly increasing
2023-12-10T15:38:48.790893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
26201002 1
 
3.4%
26201003 1
 
3.4%
26201030 1
 
3.4%
26201029 1
 
3.4%
26201028 1
 
3.4%
26201027 1
 
3.4%
26201026 1
 
3.4%
26201025 1
 
3.4%
26201024 1
 
3.4%
26201023 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
26201002 1
3.4%
26201003 1
3.4%
26201004 1
3.4%
26201005 1
3.4%
26201006 1
3.4%
26201007 1
3.4%
26201008 1
3.4%
26201009 1
3.4%
26201010 1
3.4%
26201011 1
3.4%
ValueCountFrequency (%)
26201030 1
3.4%
26201029 1
3.4%
26201028 1
3.4%
26201027 1
3.4%
26201026 1
3.4%
26201025 1
3.4%
26201024 1
3.4%
26201023 1
3.4%
26201022 1
3.4%
26201021 1
3.4%

am20
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
am25
15 
am20
14 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowam20
2nd rowam20
3rd rowam20
4th rowam20
5th rowam20

Common Values

ValueCountFrequency (%)
am25 15
51.7%
am20 14
48.3%

Length

2023-12-10T15:38:48.998726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:49.186754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
am25 15
51.7%
am20 14
48.3%

AFS001
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
AFS001
29 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAFS001
2nd rowAFS001
3rd rowAFS001
4th rowAFS001
5th rowAFS001

Common Values

ValueCountFrequency (%)
AFS001 29
100.0%

Length

2023-12-10T15:38:49.381138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:49.532143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
afs001 29
100.0%

11
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
4
8
11
10
Other values (4)

Length

Max length4
Median length1
Mean length1.4137931
Min length1

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row11
2nd row1
3rd row10
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 7
24.1%
4 5
17.2%
8 5
17.2%
11 4
13.8%
10 3
10.3%
12 2
 
6.9%
2 1
 
3.4%
G010 1
 
3.4%
7 1
 
3.4%

Length

2023-12-10T15:38:49.719197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:49.961126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7
24.1%
4 5
17.2%
8 5
17.2%
11 4
13.8%
10 3
10.3%
12 2
 
6.9%
2 1
 
3.4%
g010 1
 
3.4%
7 1
 
3.4%

나물|무침류
Categorical

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
밥류
국|탕류
볶음류
나물|무침류
튀김류
Other values (4)

Length

Max length7
Median length6
Mean length3.7241379
Min length2

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row나물|무침류
2nd row밥류
3rd row튀김류
4th row국|탕류
5th row국|탕류

Common Values

ValueCountFrequency (%)
밥류 7
24.1%
국|탕류 5
17.2%
볶음류 5
17.2%
나물|무침류 4
13.8%
튀김류 3
10.3%
김치|장아찌류 2
 
6.9%
면|만두류 1
 
3.4%
난류 1
 
3.4%
전|부침류 1
 
3.4%

Length

2023-12-10T15:38:50.192321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:50.380401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밥류 7
24.1%
국|탕류 5
17.2%
볶음류 5
17.2%
나물|무침류 4
13.8%
튀김류 3
10.3%
김치|장아찌류 2
 
6.9%
면|만두류 1
 
3.4%
난류 1
 
3.4%
전|부침류 1
 
3.4%
Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:38:50.650183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.9655172
Min length2

Characters and Unicode

Total characters115
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)41.4%

Sample

1st row도토리묵무침
2nd row쌀밥
3rd row탕수육
4th row순두부찌개
5th row김치찌개
ValueCountFrequency (%)
꽈리멸치볶음 3
 
10.3%
잡곡밥 2
 
6.9%
어묵볶음 2
 
6.9%
오이생채 2
 
6.9%
식빵튀김 2
 
6.9%
쌀밥 2
 
6.9%
재첩국 2
 
6.9%
단무지 2
 
6.9%
짜장면 1
 
3.4%
도토리묵무침 1
 
3.4%
Other values (10) 10
34.5%
2023-12-10T15:38:51.155578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
6.1%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (45) 69
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
6.1%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (45) 69
60.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
6.1%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (45) 69
60.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
6.1%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (45) 69
60.0%

1인분(1/4모)
Categorical

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
1접시
1인분
1공기
1대접
1종지
Other values (3)

Length

Max length9
Median length3
Mean length3.1034483
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row1인분(1/4모)
2nd row1공기
3rd row1인분
4th row1인분
5th row1대접

Common Values

ValueCountFrequency (%)
1접시 8
27.6%
1인분 6
20.7%
1공기 5
17.2%
1대접 3
 
10.3%
1종지 3
 
10.3%
1줄 2
 
6.9%
1인분(1/4모) 1
 
3.4%
1개 1
 
3.4%

Length

2023-12-10T15:38:51.434755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:51.651391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1접시 8
27.6%
1인분 6
20.7%
1공기 5
17.2%
1대접 3
 
10.3%
1종지 3
 
10.3%
1줄 2
 
6.9%
1인분(1/4모 1
 
3.4%
1개 1
 
3.4%

100
Real number (ℝ)

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.43103
Minimum25
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:51.846109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile33
Q165.5
median110
Q3210
95-th percentile400
Maximum650
Range625
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation138.80271
Coefficient of variation (CV)0.82409223
Kurtosis4.0469458
Mean168.43103
Median Absolute Deviation (MAD)85
Skewness1.7564686
Sum4884.5
Variance19266.192
MonotonicityNot monotonic
2023-12-10T15:38:52.030757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
210.0 5
17.2%
65.5 3
10.3%
25.0 2
 
6.9%
400.0 2
 
6.9%
200.0 2
 
6.9%
70.0 2
 
6.9%
250.0 2
 
6.9%
90.0 2
 
6.9%
110.0 2
 
6.9%
100.0 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
25.0 2
6.9%
45.0 1
 
3.4%
50.0 1
 
3.4%
53.0 1
 
3.4%
65.5 3
10.3%
70.0 2
6.9%
90.0 2
6.9%
100.0 1
 
3.4%
110.0 2
6.9%
150.0 1
 
3.4%
ValueCountFrequency (%)
650.0 1
 
3.4%
400.0 2
 
6.9%
300.0 1
 
3.4%
250.0 2
 
6.9%
210.0 5
17.2%
200.0 2
 
6.9%
150.0 1
 
3.4%
110.0 2
 
6.9%
100.0 1
 
3.4%
90.0 2
 
6.9%

58.929
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.77919
Minimum35.625
Maximum580.519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:52.315139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.625
5-th percentile35.761
Q162.201577
median143.43
Q3352.5
95-th percentile429.2604
Maximum580.519
Range544.894
Interquartile range (IQR)290.29842

Descriptive statistics

Standard deviation160.3942
Coefficient of variation (CV)0.83200992
Kurtosis-0.68971509
Mean192.77919
Median Absolute Deviation (MAD)95.69
Skewness0.72964155
Sum5590.5966
Variance25726.299
MonotonicityNot monotonic
2023-12-10T15:38:52.495354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
64.036 3
 
10.3%
47.74 2
 
6.9%
35.625 2
 
6.9%
352.5 2
 
6.9%
143.43 2
 
6.9%
223.83 2
 
6.9%
35.965 2
 
6.9%
362.1 2
 
6.9%
58.929 1
 
3.4%
86.68 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
35.625 2
6.9%
35.965 2
6.9%
47.74 2
6.9%
58.929 1
 
3.4%
62.201577 1
 
3.4%
64.036 3
10.3%
64.83 1
 
3.4%
72.5 1
 
3.4%
86.68 1
 
3.4%
143.43 2
6.9%
ValueCountFrequency (%)
580.519 1
3.4%
440.194 1
3.4%
412.86 1
3.4%
406.84 1
3.4%
362.1 2
6.9%
352.5 2
6.9%
351.3 1
3.4%
274.814 1
3.4%
223.83 2
6.9%
184.441 1
3.4%

9.2851
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.007841
Minimum1.35
Maximum100.5179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:52.696417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.35
5-th percentile2.0592
Q14.487
median10.798
Q368.528
95-th percentile79.36
Maximum100.5179
Range99.1679
Interquartile range (IQR)64.041

Descriptive statistics

Standard deviation32.459045
Coefficient of variation (CV)1.1189749
Kurtosis-0.7280066
Mean29.007841
Median Absolute Deviation (MAD)7.75
Skewness0.97973585
Sum841.2274
Variance1053.5896
MonotonicityNot monotonic
2023-12-10T15:38:52.915979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4.487 3
 
10.3%
3.048 2
 
6.9%
8.9245 2
 
6.9%
76.31 2
 
6.9%
16.692 2
 
6.9%
28.547 2
 
6.9%
3.6335 2
 
6.9%
79.36 2
 
6.9%
9.2851 1
 
3.4%
1.4 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
1.35 1
 
3.4%
1.4 1
 
3.4%
3.048 2
6.9%
3.6335 2
6.9%
4.128 1
 
3.4%
4.487 3
10.3%
7.959 1
 
3.4%
8.9245 2
6.9%
9.2851 1
 
3.4%
10.798 1
 
3.4%
ValueCountFrequency (%)
100.5179 1
3.4%
79.36 2
6.9%
78.42 1
3.4%
76.31 2
6.9%
70.985 1
3.4%
68.528 1
3.4%
28.547 2
6.9%
26.905 1
3.4%
16.692 2
6.9%
14.4604 1
3.4%

2.3095
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4104207
Minimum0.03
Maximum35.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:53.105190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.078
Q10.966
median4.058
Q38.714
95-th percentile11.66216
Maximum35.69
Range35.66
Interquartile range (IQR)7.748

Descriptive statistics

Standard deviation7.0122054
Coefficient of variation (CV)1.2960555
Kurtosis12.244338
Mean5.4104207
Median Absolute Deviation (MAD)3.092
Skewness3.0513107
Sum156.9022
Variance49.171024
MonotonicityNot monotonic
2023-12-10T15:38:53.787489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4.058 3
 
10.3%
0.966 2
 
6.9%
0.03 2
 
6.9%
0.7 2
 
6.9%
5.805 2
 
6.9%
10.6 2
 
6.9%
2.2865 2
 
6.9%
1.37 2
 
6.9%
2.3095 1
 
3.4%
6.1 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.03 2
6.9%
0.15 1
 
3.4%
0.3726 1
 
3.4%
0.7 2
6.9%
0.966 2
6.9%
1.086 1
 
3.4%
1.37 2
6.9%
2.2865 2
6.9%
2.3095 1
 
3.4%
4.058 3
10.3%
ValueCountFrequency (%)
35.69 1
3.4%
12.09 1
3.4%
11.0204 1
3.4%
10.6 2
6.9%
9.9366 1
3.4%
9.3941 1
3.4%
8.714 1
3.4%
6.1 1
3.4%
5.805 2
6.9%
4.35 1
3.4%

2.3067
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1028621
Minimum0
Maximum10.6
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:54.043447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.016
Q10.34
median2.2865
Q34.4641
95-th percentile9.608
Maximum10.6
Range10.6
Interquartile range (IQR)4.1241

Descriptive statistics

Standard deviation3.2261512
Coefficient of variation (CV)1.039734
Kurtosis0.24484963
Mean3.1028621
Median Absolute Deviation (MAD)2.1365
Skewness1.0464122
Sum89.983
Variance10.408051
MonotonicityNot monotonic
2023-12-10T15:38:54.233510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.698 3
 
10.3%
0.016 2
 
6.9%
0.03 2
 
6.9%
0.34 2
 
6.9%
3.555 2
 
6.9%
10.6 2
 
6.9%
2.2865 2
 
6.9%
1.09 2
 
6.9%
2.3067 1
 
3.4%
2.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 1
3.4%
0.016 2
6.9%
0.03 2
6.9%
0.1211 1
3.4%
0.15 1
3.4%
0.34 2
6.9%
0.382 1
3.4%
1.09 2
6.9%
2.0 1
3.4%
2.2865 2
6.9%
ValueCountFrequency (%)
10.6 2
6.9%
8.12 1
 
3.4%
8.0354 1
 
3.4%
7.6136 1
 
3.4%
5.033 1
 
3.4%
4.8281 1
 
3.4%
4.4641 1
 
3.4%
3.698 3
10.3%
3.555 2
6.9%
2.3067 1
 
3.4%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 29
100.0%

Length

2023-12-10T15:38:54.435170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:54.584362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 29
100.0%

0
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58068966
Minimum0
Maximum4.35
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:54.707938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.36
95-th percentile4.166
Maximum4.35
Range4.35
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation1.3004723
Coefficient of variation (CV)2.2395306
Kurtosis4.8707695
Mean0.58068966
Median Absolute Deviation (MAD)0
Skewness2.4659761
Sum16.84
Variance1.6912281
MonotonicityNot monotonic
2023-12-10T15:38:54.876007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 20
69.0%
0.36 3
 
10.3%
0.82 1
 
3.4%
4.21 1
 
3.4%
1.05 1
 
3.4%
4.35 1
 
3.4%
1.23 1
 
3.4%
4.1 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.36 3
 
10.3%
0.82 1
 
3.4%
1.05 1
 
3.4%
1.23 1
 
3.4%
4.1 1
 
3.4%
4.21 1
 
3.4%
4.35 1
 
3.4%
ValueCountFrequency (%)
4.35 1
 
3.4%
4.21 1
 
3.4%
4.1 1
 
3.4%
1.23 1
 
3.4%
1.05 1
 
3.4%
0.82 1
 
3.4%
0.36 3
 
10.3%
0.0 20
69.0%

1.006
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0357069
Minimum0.24
Maximum19.5585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:55.078322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.24
5-th percentile0.52832
Q13.7914
median6.422
Q37.83
95-th percentile17.74228
Maximum19.5585
Range19.3185
Interquartile range (IQR)4.0386

Descriptive statistics

Standard deviation5.3933961
Coefficient of variation (CV)0.76657486
Kurtosis0.29189241
Mean7.0357069
Median Absolute Deviation (MAD)2.6306
Skewness0.92658117
Sum204.0355
Variance29.088721
MonotonicityNot monotonic
2023-12-10T15:38:55.312710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.7914 3
 
10.3%
6.422 2
 
6.9%
0.24 2
 
6.9%
7.83 2
 
6.9%
7.31 2
 
6.9%
4.15 2
 
6.9%
1.0295 2
 
6.9%
6.97 2
 
6.9%
1.006 1
 
3.4%
5.9 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.24 2
6.9%
0.9608 1
 
3.4%
1.006 1
 
3.4%
1.0295 2
6.9%
3.7914 3
10.3%
4.15 2
6.9%
5.9 1
 
3.4%
6.1 1
 
3.4%
6.12 1
 
3.4%
6.422 2
6.9%
ValueCountFrequency (%)
19.5585 1
3.4%
18.5058 1
3.4%
16.597 1
3.4%
16.5782 1
3.4%
12.225 1
3.4%
10.766 1
3.4%
10.441 1
3.4%
7.83 2
6.9%
7.31 2
6.9%
6.97 2
6.9%

0.7649
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7327828
Minimum0
Maximum9.475
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:55.531416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0688
Q10.24
median0.953
Q35.676
95-th percentile7.3005
Maximum9.475
Range9.475
Interquartile range (IQR)5.436

Descriptive statistics

Standard deviation2.9770257
Coefficient of variation (CV)1.0893752
Kurtosis-0.93397392
Mean2.7327828
Median Absolute Deviation (MAD)0.781
Skewness0.7776955
Sum79.2507
Variance8.8626823
MonotonicityNot monotonic
2023-12-10T15:38:55.714065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.953 3
 
10.3%
0.0 2
 
6.9%
0.172 2
 
6.9%
0.24 2
 
6.9%
6.87 2
 
6.9%
1.51 2
 
6.9%
0.1895 2
 
6.9%
4.15 2
 
6.9%
6.24 2
 
6.9%
5.676 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 2
6.9%
0.172 2
6.9%
0.1853 1
 
3.4%
0.1895 2
6.9%
0.24 2
6.9%
0.5482 1
 
3.4%
0.715 1
 
3.4%
0.7649 1
 
3.4%
0.953 3
10.3%
1.007 1
 
3.4%
ValueCountFrequency (%)
9.475 1
3.4%
7.5875 1
3.4%
6.87 2
6.9%
6.24 2
6.9%
6.12 1
3.4%
5.676 1
3.4%
5.5698 1
3.4%
4.15 2
6.9%
1.51 2
6.9%
1.007 1
3.4%

0.0455
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4009483
Minimum0
Maximum10.8
Zeros19
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:55.867488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.77
95-th percentile6.76
Maximum10.8
Range10.8
Interquartile range (IQR)1.77

Descriptive statistics

Standard deviation2.7224343
Coefficient of variation (CV)1.9432796
Kurtosis4.6378701
Mean1.4009483
Median Absolute Deviation (MAD)0
Skewness2.2242139
Sum40.6275
Variance7.4116483
MonotonicityNot monotonic
2023-12-10T15:38:56.055724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 19
65.5%
2.544 3
 
10.3%
0.0455 1
 
3.4%
1.18 1
 
3.4%
7.2 1
 
3.4%
10.8 1
 
3.4%
6.1 1
 
3.4%
1.77 1
 
3.4%
5.9 1
 
3.4%
ValueCountFrequency (%)
0.0 19
65.5%
0.0455 1
 
3.4%
1.18 1
 
3.4%
1.77 1
 
3.4%
2.544 3
 
10.3%
5.9 1
 
3.4%
6.1 1
 
3.4%
7.2 1
 
3.4%
10.8 1
 
3.4%
ValueCountFrequency (%)
10.8 1
 
3.4%
7.2 1
 
3.4%
6.1 1
 
3.4%
5.9 1
 
3.4%
2.544 3
 
10.3%
1.77 1
 
3.4%
1.18 1
 
3.4%
0.0455 1
 
3.4%
0.0 19
65.5%

1.5169
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9589983
Minimum0
Maximum5.6592
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:56.225305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0336
Q10.6925
median1.7
Q33.2636
95-th percentile4.6922
Maximum5.6592
Range5.6592
Interquartile range (IQR)2.5711

Descriptive statistics

Standard deviation1.5066891
Coefficient of variation (CV)0.769112
Kurtosis0.4544689
Mean1.9589983
Median Absolute Deviation (MAD)1.1416
Skewness0.80780437
Sum56.81095
Variance2.270112
MonotonicityNot monotonic
2023-12-10T15:38:56.387065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.2636 3
 
10.3%
1.82 3
 
10.3%
0.0 2
 
6.9%
0.084 2
 
6.9%
0.45 2
 
6.9%
3.44 2
 
6.9%
1.584 2
 
6.9%
1.7 2
 
6.9%
0.6925 2
 
6.9%
1.0688 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 2
6.9%
0.084 2
6.9%
0.45 2
6.9%
0.6925 2
6.9%
1.0688 1
 
3.4%
1.1194 1
 
3.4%
1.5169 1
 
3.4%
1.584 2
6.9%
1.7 2
6.9%
1.82 3
10.3%
ValueCountFrequency (%)
5.6592 1
 
3.4%
5.527 1
 
3.4%
3.44 2
6.9%
3.331 1
 
3.4%
3.2636 3
10.3%
2.8416 1
 
3.4%
2.54525 1
 
3.4%
2.05 1
 
3.4%
1.82 3
10.3%
1.7 2
6.9%

79.038
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.086045
Minimum11.33
Maximum234.022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:56.578645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.33
5-th percentile12.534
Q132.2935
median42.348
Q382.706
95-th percentile209.3854
Maximum234.022
Range222.692
Interquartile range (IQR)50.4125

Descriptive statistics

Standard deviation59.671966
Coefficient of variation (CV)0.88948404
Kurtosis2.3928134
Mean67.086045
Median Absolute Deviation (MAD)28.008
Skewness1.663504
Sum1945.4953
Variance3560.7435
MonotonicityNot monotonic
2023-12-10T15:38:56.886212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
40.827 3
 
10.3%
42.348 2
 
6.9%
32.2935 2
 
6.9%
14.34 2
 
6.9%
82.706 2
 
6.9%
16.903 2
 
6.9%
70.139 2
 
6.9%
11.33 2
 
6.9%
79.038 1
 
3.4%
38.1 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
11.33 2
6.9%
14.34 2
6.9%
14.97 1
 
3.4%
16.903 2
6.9%
32.2935 2
6.9%
37.7 1
 
3.4%
38.1 1
 
3.4%
40.827 3
10.3%
42.348 2
6.9%
70.139 2
6.9%
ValueCountFrequency (%)
234.022 1
3.4%
216.499 1
3.4%
198.715 1
3.4%
117.7523 1
3.4%
101.171 1
3.4%
93.568 1
3.4%
82.706 2
6.9%
79.038 1
3.4%
77.027 1
3.4%
74.333 1
3.4%

0.6283
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0744276
Minimum0.34
Maximum6.5215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:57.099795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.34
5-th percentile0.5
Q10.82
median1.5754
Q32.9175
95-th percentile5.26266
Maximum6.5215
Range6.1815
Interquartile range (IQR)2.0975

Descriptive statistics

Standard deviation1.5328677
Coefficient of variation (CV)0.73893525
Kurtosis1.7671918
Mean2.0744276
Median Absolute Deviation (MAD)0.7754
Skewness1.3615965
Sum60.1584
Variance2.3496833
MonotonicityNot monotonic
2023-12-10T15:38:57.291518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.5754 3
 
10.3%
0.5 2
 
6.9%
3.168 2
 
6.9%
2.656 2
 
6.9%
0.82 2
 
6.9%
2.9175 2
 
6.9%
1.412 2
 
6.9%
0.8 2
 
6.9%
0.97 2
 
6.9%
2.9915 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.34 1
 
3.4%
0.5 2
6.9%
0.6283 1
 
3.4%
0.8 2
6.9%
0.82 2
6.9%
0.97 2
6.9%
1.412 2
6.9%
1.4642 1
 
3.4%
1.5754 3
10.3%
2.0715 1
 
3.4%
ValueCountFrequency (%)
6.5215 1
3.4%
5.5263 1
3.4%
4.8672 1
3.4%
3.168 2
6.9%
2.9915 1
3.4%
2.9175 2
6.9%
2.656 2
6.9%
2.318 1
3.4%
2.2167 1
3.4%
2.0715 1
3.4%

51.12
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.451218
Minimum0
Maximum314.16667
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:57.484950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.10466667
Q11
median20.64
Q376.5
95-th percentile256.68
Maximum314.16667
Range314.16667
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation86.574944
Coefficient of variation (CV)1.3862811
Kurtosis2.2861428
Mean62.451218
Median Absolute Deviation (MAD)20.64
Skewness1.7094896
Sum1811.0853
Variance7495.221
MonotonicityNot monotonic
2023-12-10T15:38:57.691710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
51.5 3
 
10.3%
20.64 2
 
6.9%
2.3 2
 
6.9%
0.61 2
 
6.9%
256.68 2
 
6.9%
1.0 2
 
6.9%
3.6 2
 
6.9%
0.0 2
 
6.9%
51.12 1
 
3.4%
76.5 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 2
6.9%
0.261666667 1
3.4%
0.61 2
6.9%
0.63 1
3.4%
1.0 2
6.9%
2.3 2
6.9%
3.6 2
6.9%
4.53 1
3.4%
20.64 2
6.9%
51.12 1
3.4%
ValueCountFrequency (%)
314.1666667 1
 
3.4%
256.68 2
6.9%
144.5 1
 
3.4%
141.06 1
 
3.4%
132.23 1
 
3.4%
91.01 1
 
3.4%
76.5 1
 
3.4%
70.5 1
 
3.4%
60.417 1
 
3.4%
51.5 3
10.3%

0.1
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.194828
Minimum0
Maximum76.1
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:57.904204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.5
95-th percentile73.8
Maximum76.1
Range76.1
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation22.950507
Coefficient of variation (CV)2.2511913
Kurtosis4.8418221
Mean10.194828
Median Absolute Deviation (MAD)0
Skewness2.458333
Sum295.65
Variance526.72578
MonotonicityNot monotonic
2023-12-10T15:38:58.077435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 20
69.0%
12.0 2
 
6.9%
15.6 1
 
3.4%
76.1 1
 
3.4%
9.5 1
 
3.4%
0.2 1
 
3.4%
72.0 1
 
3.4%
23.25 1
 
3.4%
75.0 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.2 1
 
3.4%
9.5 1
 
3.4%
12.0 2
 
6.9%
15.6 1
 
3.4%
23.25 1
 
3.4%
72.0 1
 
3.4%
75.0 1
 
3.4%
76.1 1
 
3.4%
ValueCountFrequency (%)
76.1 1
 
3.4%
75.0 1
 
3.4%
72.0 1
 
3.4%
23.25 1
 
3.4%
15.6 1
 
3.4%
12.0 2
 
6.9%
9.5 1
 
3.4%
0.2 1
 
3.4%
0.0 20
69.0%

313.22
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.16483
Minimum0
Maximum2302.03
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:58.254375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.44
Q19
median131.57
Q3412.03
95-th percentile1907.154
Maximum2302.03
Range2302.03
Interquartile range (IQR)403.03

Descriptive statistics

Standard deviation651.65934
Coefficient of variation (CV)1.5810649
Kurtosis2.9136033
Mean412.16483
Median Absolute Deviation (MAD)127.97
Skewness1.9552374
Sum11952.78
Variance424659.89
MonotonicityNot monotonic
2023-12-10T15:38:58.439557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
308.89 3
 
10.3%
9.0 2
 
6.9%
146.26 2
 
6.9%
13.8 2
 
6.9%
5.6 2
 
6.9%
1553.73 2
 
6.9%
64.3 2
 
6.9%
6.0 2
 
6.9%
0.0 2
 
6.9%
2302.03 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 2
6.9%
3.6 1
3.4%
5.6 2
6.9%
6.0 2
6.9%
9.0 2
6.9%
13.8 2
6.9%
64.3 2
6.9%
85.8 1
3.4%
131.57 1
3.4%
146.26 2
6.9%
ValueCountFrequency (%)
2302.03 1
 
3.4%
2142.77 1
 
3.4%
1553.73 2
6.9%
802.48 1
 
3.4%
791.73 1
 
3.4%
443.5 1
 
3.4%
412.03 1
 
3.4%
313.22 1
 
3.4%
308.89 3
10.3%
146.26 2
6.9%

5*
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
4*
15 
5*
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5*
2nd row5*
3rd row5*
4th row5*
5th row5*

Common Values

ValueCountFrequency (%)
4* 15
51.7%
5* 14
48.3%

Length

2023-12-10T15:38:58.640846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:58.810115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 15
51.7%
5 14
48.3%

0.2
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29603448
Minimum0
Maximum3
Zeros22
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:58.955380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.5
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.69727195
Coefficient of variation (CV)2.3553741
Kurtosis7.8712908
Mean0.29603448
Median Absolute Deviation (MAD)0
Skewness2.7652975
Sum8.585
Variance0.48618818
MonotonicityNot monotonic
2023-12-10T15:38:59.127321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 22
75.9%
1.5 3
 
10.3%
0.3 1
 
3.4%
0.335 1
 
3.4%
3.0 1
 
3.4%
0.45 1
 
3.4%
ValueCountFrequency (%)
0.0 22
75.9%
0.3 1
 
3.4%
0.335 1
 
3.4%
0.45 1
 
3.4%
1.5 3
 
10.3%
3.0 1
 
3.4%
ValueCountFrequency (%)
3.0 1
 
3.4%
1.5 3
 
10.3%
0.45 1
 
3.4%
0.335 1
 
3.4%
0.3 1
 
3.4%
0.0 22
75.9%

0.7896
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5921
Minimum0.0186
Maximum9.5865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:59.317956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0186
5-th percentile0.05276
Q10.62
median1.318
Q34.058
95-th percentile8.79
Maximum9.5865
Range9.5679
Interquartile range (IQR)3.438

Descriptive statistics

Standard deviation3.0408081
Coefficient of variation (CV)1.173106
Kurtosis0.53366508
Mean2.5921
Median Absolute Deviation (MAD)0.8
Skewness1.3923383
Sum75.1709
Variance9.2465139
MonotonicityNot monotonic
2023-12-10T15:38:59.531060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1.624 3
 
10.3%
0.104 2
 
6.9%
0.0186 2
 
6.9%
0.79 2
 
6.9%
4.058 2
 
6.9%
8.79 2
 
6.9%
0.9935 2
 
6.9%
0.62 2
 
6.9%
0.7896 1
 
3.4%
2.41 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0186 2
6.9%
0.104 2
6.9%
0.51 1
3.4%
0.55 1
3.4%
0.5758 1
3.4%
0.62 2
6.9%
0.7896 1
3.4%
0.79 2
6.9%
0.9935 2
6.9%
1.318 1
3.4%
ValueCountFrequency (%)
9.5865 1
 
3.4%
8.79 2
6.9%
8.562 1
 
3.4%
7.486 1
 
3.4%
4.1705 1
 
3.4%
4.058 2
6.9%
2.41 1
 
3.4%
2.118 1
 
3.4%
1.624 3
10.3%
1.4743 1
 
3.4%

22.746
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.60369
Minimum0
Maximum133.923
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:38:59.712872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median4.702
Q317.35
95-th percentile58.9532
Maximum133.923
Range133.923
Interquartile range (IQR)16.55

Descriptive statistics

Standard deviation27.78409
Coefficient of variation (CV)1.902539
Kurtosis13.146671
Mean14.60369
Median Absolute Deviation (MAD)4.612
Skewness3.4922931
Sum423.507
Variance771.95564
MonotonicityNot monotonic
2023-12-10T15:38:59.952589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.368 3
 
10.3%
0.0 3
 
10.3%
1.88 2
 
6.9%
0.09 2
 
6.9%
0.8 2
 
6.9%
8.962 2
 
6.9%
17.358 2
 
6.9%
14.426 2
 
6.9%
22.746 1
 
3.4%
3.952 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
0.09 2
6.9%
0.22 1
 
3.4%
0.8 2
6.9%
1.88 2
6.9%
3.368 3
10.3%
3.952 1
 
3.4%
4.702 1
 
3.4%
5.1055 1
 
3.4%
8.962 2
6.9%
ValueCountFrequency (%)
133.923 1
3.4%
80.55 1
3.4%
26.558 1
3.4%
22.746 1
3.4%
21.865 1
3.4%
17.358 2
6.9%
17.35 1
3.4%
14.426 2
6.9%
9.3995 1
3.4%
8.962 2
6.9%

2.9457
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.016945
Minimum0
Maximum68.6511
Zeros9
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:00.162684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.245
Q310.57
95-th percentile26.8
Maximum68.6511
Range68.6511
Interquartile range (IQR)10.57

Descriptive statistics

Standard deviation14.22829
Coefficient of variation (CV)1.4204221
Kurtosis9.801457
Mean10.016945
Median Absolute Deviation (MAD)5.245
Skewness2.7575584
Sum290.4914
Variance202.44424
MonotonicityNot monotonic
2023-12-10T15:39:00.353250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 9
31.0%
26.8 3
 
10.3%
8.91 2
 
6.9%
10.57 2
 
6.9%
4.5 2
 
6.9%
2.64 2
 
6.9%
2.9457 1
 
3.4%
5.245 1
 
3.4%
6.36 1
 
3.4%
20.6996 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.0 9
31.0%
2.64 2
 
6.9%
2.9457 1
 
3.4%
4.5 2
 
6.9%
5.245 1
 
3.4%
6.36 1
 
3.4%
8.5075 1
 
3.4%
8.91 2
 
6.9%
9.78 1
 
3.4%
10.57 2
 
6.9%
ValueCountFrequency (%)
68.6511 1
 
3.4%
26.8 3
10.3%
20.6996 1
 
3.4%
17.465 1
 
3.4%
17.1975 1
 
3.4%
10.57 2
6.9%
9.78 1
 
3.4%
8.91 2
6.9%
8.5075 1
 
3.4%
6.36 1
 
3.4%

0.0186
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.097913103
Minimum0
Maximum0.35318
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:00.589187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0075
Q10.05
median0.053
Q30.16
95-th percentile0.24036
Maximum0.35318
Range0.35318
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.088652883
Coefficient of variation (CV)0.9054241
Kurtosis0.85067761
Mean0.097913103
Median Absolute Deviation (MAD)0.044
Skewness1.1050647
Sum2.83948
Variance0.0078593337
MonotonicityNot monotonic
2023-12-10T15:39:00.854323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.05 3
 
10.3%
0.052 3
 
10.3%
0.0614 2
 
6.9%
0.009 2
 
6.9%
0.18 2
 
6.9%
0.053 2
 
6.9%
0.0075 2
 
6.9%
0.16 2
 
6.9%
0.0186 1
 
3.4%
0.193 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.0075 2
6.9%
0.009 2
6.9%
0.0186 1
 
3.4%
0.0237 1
 
3.4%
0.05 3
10.3%
0.052 3
10.3%
0.053 2
6.9%
0.0614 2
6.9%
0.07 1
 
3.4%
ValueCountFrequency (%)
0.35318 1
3.4%
0.263 1
3.4%
0.2064 1
3.4%
0.193 1
3.4%
0.1877 1
3.4%
0.18 2
6.9%
0.16 2
6.9%
0.1461 1
3.4%
0.13 1
3.4%
0.07 1
3.4%

0.0496
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.092261379
Minimum0
Maximum0.3902
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:01.072896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006
Q10.0496
median0.054
Q30.1074
95-th percentile0.247342
Maximum0.3902
Range0.3902
Interquartile range (IQR)0.0578

Descriptive statistics

Standard deviation0.091537967
Coefficient of variation (CV)0.9921591
Kurtosis2.7808534
Mean0.092261379
Median Absolute Deviation (MAD)0.046
Skewness1.6401426
Sum2.67558
Variance0.0083791993
MonotonicityNot monotonic
2023-12-10T15:39:01.275449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.05 4
13.8%
0.0592 3
 
10.3%
0.1074 2
 
6.9%
0.006 2
 
6.9%
0.03 2
 
6.9%
0.053 2
 
6.9%
0.0065 2
 
6.9%
0.0496 1
 
3.4%
0.15 1
 
3.4%
0.0736 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.006 2
6.9%
0.0065 2
6.9%
0.03 2
6.9%
0.0496 1
 
3.4%
0.05 4
13.8%
0.053 2
6.9%
0.054 1
 
3.4%
0.0592 3
10.3%
0.0736 1
 
3.4%
ValueCountFrequency (%)
0.3902 1
3.4%
0.25657 1
3.4%
0.2335 1
3.4%
0.20591 1
3.4%
0.201 1
3.4%
0.1778 1
3.4%
0.15 1
3.4%
0.1074 2
6.9%
0.1 1
3.4%
0.0736 1
3.4%

0.1724
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3085086
Minimum0.112
Maximum7.5516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:01.508294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.112
5-th percentile0.1168
Q10.658
median0.9376
Q31.63
95-th percentile2.79
Maximum7.5516
Range7.4396
Interquartile range (IQR)0.972

Descriptive statistics

Standard deviation1.4313287
Coefficient of variation (CV)1.0938627
Kurtosis12.932654
Mean1.3085086
Median Absolute Deviation (MAD)0.6376
Skewness3.1526136
Sum37.94675
Variance2.0487019
MonotonicityNot monotonic
2023-12-10T15:39:01.733675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9376 3
 
10.3%
1.3 2
 
6.9%
0.124 2
 
6.9%
1.63 2
 
6.9%
0.663 2
 
6.9%
0.95 2
 
6.9%
0.112 2
 
6.9%
2.79 2
 
6.9%
0.1724 1
 
3.4%
0.3 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.112 2
6.9%
0.124 2
6.9%
0.1724 1
 
3.4%
0.3 1
 
3.4%
0.35 1
 
3.4%
0.658 1
 
3.4%
0.663 2
6.9%
0.71755 1
 
3.4%
0.9 1
 
3.4%
0.9376 3
10.3%
ValueCountFrequency (%)
7.5516 1
3.4%
2.79 2
6.9%
2.5845 1
3.4%
1.9764 1
3.4%
1.829 1
3.4%
1.6361 1
3.4%
1.63 2
6.9%
1.3204 1
3.4%
1.3 2
6.9%
0.95 2
6.9%

0.0968
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.091610345
Minimum0
Maximum0.276
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:01.965242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00256
Q10.012
median0.059
Q30.15
95-th percentile0.2605
Maximum0.276
Range0.276
Interquartile range (IQR)0.138

Descriptive statistics

Standard deviation0.087197425
Coefficient of variation (CV)0.95182946
Kurtosis-0.34670356
Mean0.091610345
Median Absolute Deviation (MAD)0.0526
Skewness0.84171994
Sum2.6567
Variance0.007603391
MonotonicityNot monotonic
2023-12-10T15:39:02.169549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.15 4
13.8%
0.012 2
 
6.9%
0.0064 2
 
6.9%
0.0069 2
 
6.9%
0.13 2
 
6.9%
0.059 2
 
6.9%
0.0 2
 
6.9%
0.25 2
 
6.9%
0.05 2
 
6.9%
0.0968 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 2
6.9%
0.0064 2
6.9%
0.0069 2
6.9%
0.012 2
6.9%
0.0208 1
3.4%
0.023 1
3.4%
0.0392 1
3.4%
0.047 1
3.4%
0.05 2
6.9%
0.059 2
6.9%
ValueCountFrequency (%)
0.276 1
 
3.4%
0.2675 1
 
3.4%
0.25 2
6.9%
0.15 4
13.8%
0.131 1
 
3.4%
0.13 2
6.9%
0.1268 1
 
3.4%
0.0968 1
 
3.4%
0.059 2
6.9%
0.05 2
6.9%

32.379
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.711276
Minimum3.816
Maximum158.047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:02.345605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.816
5-th percentile6.8896
Q112.03
median24.942
Q352.26
95-th percentile119.5796
Maximum158.047
Range154.231
Interquartile range (IQR)40.23

Descriptive statistics

Standard deviation36.792488
Coefficient of variation (CV)0.97563624
Kurtosis3.9922939
Mean37.711276
Median Absolute Deviation (MAD)13.193
Skewness2.0304654
Sum1093.627
Variance1353.6871
MonotonicityNot monotonic
2023-12-10T15:39:02.529063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
24.942 3
 
10.3%
3.816 2
 
6.9%
12.03 2
 
6.9%
52.26 2
 
6.9%
25.059 2
 
6.9%
11.5 2
 
6.9%
11.749 2
 
6.9%
22.01 2
 
6.9%
32.379 1
 
3.4%
62.25 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
3.816 2
6.9%
11.5 2
6.9%
11.749 2
6.9%
12.03 2
6.9%
17.65 1
 
3.4%
22.01 2
6.9%
23.604 1
 
3.4%
24.942 3
10.3%
25.059 2
6.9%
25.71 1
 
3.4%
ValueCountFrequency (%)
158.047 1
3.4%
122.3 1
3.4%
115.499 1
3.4%
62.25 1
3.4%
56.65 1
3.4%
53.505 1
3.4%
52.26 2
6.9%
46.315 1
3.4%
32.379 1
3.4%
28.044 1
3.4%

0.3
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77331034
Minimum0
Maximum6.97
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:02.715292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.65
95-th percentile2.478
Maximum6.97
Range6.97
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation1.4780311
Coefficient of variation (CV)1.911304
Kurtosis10.665499
Mean0.77331034
Median Absolute Deviation (MAD)0
Skewness2.9646089
Sum22.426
Variance2.184576
MonotonicityNot monotonic
2023-12-10T15:39:02.871378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 15
51.7%
2.478 3
 
10.3%
0.3 2
 
6.9%
0.37 1
 
3.4%
6.97 1
 
3.4%
0.255 1
 
3.4%
2.2 1
 
3.4%
0.08 1
 
3.4%
1.495 1
 
3.4%
0.55 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 15
51.7%
0.08 1
 
3.4%
0.255 1
 
3.4%
0.3 2
 
6.9%
0.37 1
 
3.4%
0.55 1
 
3.4%
0.65 1
 
3.4%
1.495 1
 
3.4%
1.822 1
 
3.4%
2.2 1
 
3.4%
ValueCountFrequency (%)
6.97 1
 
3.4%
2.478 3
10.3%
2.2 1
 
3.4%
1.822 1
 
3.4%
1.495 1
 
3.4%
0.65 1
 
3.4%
0.55 1
 
3.4%
0.37 1
 
3.4%
0.3 2
6.9%
0.255 1
 
3.4%

유방암
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
유방암
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유방암 29
100.0%

Length

2023-12-10T15:39:03.038641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:03.174265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방암 29
100.0%

0.0234
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42142276
Minimum0
Maximum1.627
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:03.310096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0056
Q10.0414
median0.2255
Q30.636
95-th percentile1.22
Maximum1.627
Range1.627
Interquartile range (IQR)0.5946

Descriptive statistics

Standard deviation0.45031488
Coefficient of variation (CV)1.0685585
Kurtosis0.5263562
Mean0.42142276
Median Absolute Deviation (MAD)0.2199
Skewness1.1426121
Sum12.22126
Variance0.20278349
MonotonicityNot monotonic
2023-12-10T15:39:03.493533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.041 3
 
10.3%
0.7 2
 
6.9%
0.0056 2
 
6.9%
0.0414 2
 
6.9%
1.22 2
 
6.9%
0.167 2
 
6.9%
0.2255 2
 
6.9%
0.1 2
 
6.9%
0.6 2
 
6.9%
1.627 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.0056 2
6.9%
0.0234 1
 
3.4%
0.041 3
10.3%
0.0414 2
6.9%
0.1 2
6.9%
0.167 2
6.9%
0.2255 2
6.9%
0.259 1
 
3.4%
0.31686 1
 
3.4%
ValueCountFrequency (%)
1.627 1
3.4%
1.22 2
6.9%
1.2 1
3.4%
0.86 1
3.4%
0.7 2
6.9%
0.636 1
3.4%
0.6 2
6.9%
0.59 1
3.4%
0.467 1
3.4%
0.31686 1
3.4%

0.134
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1348793
Minimum0
Maximum12.96
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:03.692199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.315
Q32.27
95-th percentile11.78
Maximum12.96
Range12.96
Interquartile range (IQR)2.27

Descriptive statistics

Standard deviation3.7655958
Coefficient of variation (CV)1.7638448
Kurtosis3.5574449
Mean2.1348793
Median Absolute Deviation (MAD)0.315
Skewness2.129818
Sum61.9115
Variance14.179712
MonotonicityNot monotonic
2023-12-10T15:39:03.881678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 13
44.8%
1.12 2
 
6.9%
1.14 2
 
6.9%
2.27 2
 
6.9%
0.134 1
 
3.4%
4.65 1
 
3.4%
12.96 1
 
3.4%
0.315 1
 
3.4%
2.7 1
 
3.4%
0.69 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 13
44.8%
0.134 1
 
3.4%
0.315 1
 
3.4%
0.69 1
 
3.4%
1.12 2
 
6.9%
1.14 2
 
6.9%
1.6575 1
 
3.4%
2.27 2
 
6.9%
2.7 1
 
3.4%
4.65 1
 
3.4%
ValueCountFrequency (%)
12.96 1
3.4%
12.5 1
3.4%
10.7 1
3.4%
6.545 1
3.4%
4.65 1
3.4%
2.7 1
3.4%
2.27 2
6.9%
1.6575 1
3.4%
1.14 2
6.9%
1.12 2
6.9%

29.273
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.272345
Minimum5.9
Maximum166.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:04.428042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.46
Q115.2
median21.5
Q372.41
95-th percentile97.5296
Maximum166.61
Range160.71
Interquartile range (IQR)57.21

Descriptive statistics

Standard deviation38.214292
Coefficient of variation (CV)0.90400218
Kurtosis2.4318957
Mean42.272345
Median Absolute Deviation (MAD)14.2
Skewness1.4741078
Sum1225.898
Variance1460.3321
MonotonicityNot monotonic
2023-12-10T15:39:04.655964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
72.41 3
 
10.3%
92.66 2
 
6.9%
12.695 2
 
6.9%
15.2 2
 
6.9%
53.41 2
 
6.9%
11.09 2
 
6.9%
21.495 2
 
6.9%
5.9 2
 
6.9%
29.273 1
 
3.4%
21.5 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
5.9 2
6.9%
7.3 1
3.4%
11.09 2
6.9%
12.695 2
6.9%
15.2 2
6.9%
18.0 1
3.4%
20.31 1
3.4%
20.604 1
3.4%
21.495 2
6.9%
21.5 1
3.4%
ValueCountFrequency (%)
166.61 1
 
3.4%
100.776 1
 
3.4%
92.66 2
6.9%
76.0 1
 
3.4%
72.41 3
10.3%
61.243 1
 
3.4%
53.41 2
6.9%
40.4 1
 
3.4%
29.273 1
 
3.4%
21.752 1
 
3.4%

27.865
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.621414
Minimum0
Maximum153.381
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:04.857841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.864
Q17.004
median12.695
Q317.49
95-th percentile49.8316
Maximum153.381
Range153.381
Interquartile range (IQR)10.486

Descriptive statistics

Standard deviation28.711006
Coefficient of variation (CV)1.5418274
Kurtosis18.457056
Mean18.621414
Median Absolute Deviation (MAD)5.395
Skewness4.067135
Sum540.021
Variance824.32185
MonotonicityNot monotonic
2023-12-10T15:39:05.075044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
17.49 3
 
10.3%
0.0 2
 
6.9%
2.16 2
 
6.9%
12.695 2
 
6.9%
13.8 2
 
6.9%
27.41 2
 
6.9%
8.895 2
 
6.9%
11.09 2
 
6.9%
4.4 2
 
6.9%
13.75 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 2
6.9%
2.16 2
6.9%
4.4 2
6.9%
5.91 1
3.4%
7.004 1
3.4%
7.3 1
3.4%
8.895 2
6.9%
11.09 2
6.9%
11.852 1
3.4%
12.695 2
6.9%
ValueCountFrequency (%)
153.381 1
 
3.4%
64.476 1
 
3.4%
27.865 1
 
3.4%
27.41 2
6.9%
20.603 1
 
3.4%
17.49 3
10.3%
14.51 1
 
3.4%
13.8 2
6.9%
13.75 1
 
3.4%
12.695 2
6.9%

0.203
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.459069
Minimum0
Maximum54.12
Zeros19
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:05.261508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.45
95-th percentile54.12
Maximum54.12
Range54.12
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation17.858383
Coefficient of variation (CV)1.8879641
Kurtosis2.1035858
Mean9.459069
Median Absolute Deviation (MAD)0
Skewness1.8311846
Sum274.313
Variance318.92183
MonotonicityNot monotonic
2023-12-10T15:39:05.486972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 19
65.5%
54.12 3
 
10.3%
0.203 1
 
3.4%
4.3 1
 
3.4%
30.5 1
 
3.4%
31.0 1
 
3.4%
18.0 1
 
3.4%
6.45 1
 
3.4%
21.5 1
 
3.4%
ValueCountFrequency (%)
0.0 19
65.5%
0.203 1
 
3.4%
4.3 1
 
3.4%
6.45 1
 
3.4%
18.0 1
 
3.4%
21.5 1
 
3.4%
30.5 1
 
3.4%
31.0 1
 
3.4%
54.12 3
 
10.3%
ValueCountFrequency (%)
54.12 3
 
10.3%
31.0 1
 
3.4%
30.5 1
 
3.4%
21.5 1
 
3.4%
18.0 1
 
3.4%
6.45 1
 
3.4%
4.3 1
 
3.4%
0.203 1
 
3.4%
0.0 19
65.5%

37.116
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.81171
Minimum7.34
Maximum257.9585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:05.665638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.34
5-th percentile13.65
Q143
median96.36
Q3159.4
95-th percentile253.6628
Maximum257.9585
Range250.6185
Interquartile range (IQR)116.4

Descriptive statistics

Standard deviation74.857934
Coefficient of variation (CV)0.6635653
Kurtosis-0.69145632
Mean112.81171
Median Absolute Deviation (MAD)59.98
Skewness0.51060257
Sum3271.5395
Variance5603.7103
MonotonicityNot monotonic
2023-12-10T15:39:05.880646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
86.41 3
 
10.3%
107.58 2
 
6.9%
7.34 2
 
6.9%
159.4 2
 
6.9%
96.36 2
 
6.9%
43.0 2
 
6.9%
33.31 2
 
6.9%
204.4 2
 
6.9%
37.116 1
 
3.4%
81.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
7.34 2
6.9%
23.115 1
 
3.4%
33.31 2
6.9%
37.116 1
 
3.4%
43.0 2
6.9%
76.5 1
 
3.4%
79.0 1
 
3.4%
81.0 1
 
3.4%
86.41 3
10.3%
96.36 2
6.9%
ValueCountFrequency (%)
257.9585 1
3.4%
257.32 1
3.4%
248.177 1
3.4%
204.4 2
6.9%
187.468 1
3.4%
164.55 1
3.4%
159.4 2
6.9%
156.34 1
3.4%
140.985 1
3.4%
107.58 2
6.9%

146.2
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean486.9964
Minimum3.9
Maximum2071.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:06.066249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.34
Q170.5
median338.2
Q3817.46
95-th percentile1279.9506
Maximum2071.94
Range2068.04
Interquartile range (IQR)746.96

Descriptive statistics

Standard deviation499.16357
Coefficient of variation (CV)1.0249841
Kurtosis2.1723955
Mean486.9964
Median Absolute Deviation (MAD)305.14
Skewness1.3786299
Sum14122.895
Variance249164.27
MonotonicityNot monotonic
2023-12-10T15:39:06.239315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
209.94 3
 
10.3%
868.38 2
 
6.9%
970.73 2
 
6.9%
3.9 2
 
6.9%
817.46 2
 
6.9%
33.06 2
 
6.9%
338.2 2
 
6.9%
65.1 2
 
6.9%
146.2 1
 
3.4%
76.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
3.9 2
6.9%
5.0 1
 
3.4%
33.06 2
6.9%
65.1 2
6.9%
70.5 1
 
3.4%
76.0 1
 
3.4%
146.2 1
 
3.4%
209.94 3
10.3%
338.2 2
6.9%
343.694 1
 
3.4%
ValueCountFrequency (%)
2071.94 1
3.4%
1411.63 1
3.4%
1082.4315 1
3.4%
970.73 2
6.9%
868.38 2
6.9%
817.46 2
6.9%
676.7 1
3.4%
583.29 1
3.4%
444.21 1
3.4%
387.82 1
3.4%

3.699
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.189293
Minimum0
Maximum102.85
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:06.414280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.6
Q323.85
95-th percentile66.01
Maximum102.85
Range102.85
Interquartile range (IQR)23.85

Descriptive statistics

Standard deviation24.39824
Coefficient of variation (CV)1.5070602
Kurtosis7.4950307
Mean16.189293
Median Absolute Deviation (MAD)7.6
Skewness2.6831253
Sum469.4895
Variance595.2741
MonotonicityNot monotonic
2023-12-10T15:39:06.600024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 8
27.6%
7.6 3
 
10.3%
12.1 2
 
6.9%
23.85 2
 
6.9%
25.125 2
 
6.9%
6.35 2
 
6.9%
3.699 1
 
3.4%
90.0 1
 
3.4%
6.05 1
 
3.4%
30.025 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 8
27.6%
1.513 1
 
3.4%
3.699 1
 
3.4%
6.05 1
 
3.4%
6.35 2
 
6.9%
7.6 3
 
10.3%
12.05 1
 
3.4%
12.1 2
 
6.9%
13.7 1
 
3.4%
23.85 2
 
6.9%
ValueCountFrequency (%)
102.85 1
3.4%
90.0 1
3.4%
30.025 1
3.4%
27.825 1
3.4%
25.125 2
6.9%
24.1275 1
3.4%
23.85 2
6.9%
13.7 1
3.4%
12.1 2
6.9%
12.05 1
3.4%

69.84
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.51629
Minimum69.84
Maximum627.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:06.789149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.84
5-th percentile72.494
Q1109.8
median155.65
Q3286.51
95-th percentile536.8935
Maximum627.87
Range558.03
Interquartile range (IQR)176.71

Descriptive statistics

Standard deviation159.28911
Coefficient of variation (CV)0.69402095
Kurtosis0.37554325
Mean229.51629
Median Absolute Deviation (MAD)81.665
Skewness1.0872164
Sum6655.9725
Variance25373.022
MonotonicityNot monotonic
2023-12-10T15:39:06.968596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
154.15 3
 
10.3%
126.9 2
 
6.9%
73.985 2
 
6.9%
253.6 2
 
6.9%
286.51 2
 
6.9%
82.59 2
 
6.9%
155.65 2
 
6.9%
233.7 2
 
6.9%
69.84 1
 
3.4%
71.5 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
69.84 1
 
3.4%
71.5 1
 
3.4%
73.985 2
6.9%
74.5 1
 
3.4%
82.59 2
6.9%
109.8 1
 
3.4%
126.9 2
6.9%
153.71 1
 
3.4%
154.15 3
10.3%
155.65 2
6.9%
ValueCountFrequency (%)
627.87 1
3.4%
591.2225 1
3.4%
455.4 1
3.4%
439.78 1
3.4%
438.37 1
3.4%
389.95 1
3.4%
345.71 1
3.4%
286.51 2
6.9%
253.6 2
6.9%
233.7 2
6.9%

2.296
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.315431
Minimum0
Maximum30.225
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:07.216034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.12
median6
Q318.7
95-th percentile25.618
Maximum30.225
Range30.225
Interquartile range (IQR)17.58

Descriptive statistics

Standard deviation9.7249604
Coefficient of variation (CV)1.0439625
Kurtosis-0.83839537
Mean9.315431
Median Absolute Deviation (MAD)6
Skewness0.73444776
Sum270.1475
Variance94.574856
MonotonicityNot monotonic
2023-12-10T15:39:07.447627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
2.208 3
10.3%
1.12 2
 
6.9%
14.3 2
 
6.9%
18.7 2
 
6.9%
10.74 2
 
6.9%
2.296 1
 
3.4%
6.0 1
 
3.4%
7.94 1
 
3.4%
25.69 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
1.12 2
 
6.9%
2.208 3
10.3%
2.296 1
 
3.4%
5.0 1
 
3.4%
6.0 1
 
3.4%
6.5 1
 
3.4%
7.94 1
 
3.4%
10.74 2
 
6.9%
14.3 2
 
6.9%
ValueCountFrequency (%)
30.225 1
3.4%
25.69 1
3.4%
25.51 1
3.4%
25.15 1
3.4%
20.095 1
3.4%
19.3975 1
3.4%
18.7 2
6.9%
14.3 2
6.9%
10.74 2
6.9%
7.94 1
3.4%

X
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
X
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 29
100.0%

Length

2023-12-10T15:39:07.691350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:07.848454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

0.6603
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.820019
Minimum0.283
Maximum10.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:08.019556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.283
5-th percentile0.2932
Q10.61
median0.752
Q32.16
95-th percentile8.42658
Maximum10.62
Range10.337
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation2.6724991
Coefficient of variation (CV)1.4683908
Kurtosis7.2129386
Mean1.820019
Median Absolute Deviation (MAD)0.393
Skewness2.7459726
Sum52.78055
Variance7.1422512
MonotonicityNot monotonic
2023-12-10T15:39:08.223495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.6502 3
 
10.3%
10.62 2
 
6.9%
0.3085 2
 
6.9%
2.16 2
 
6.9%
0.814 2
 
6.9%
0.359 2
 
6.9%
0.283 2
 
6.9%
0.61 2
 
6.9%
0.6603 1
 
3.4%
0.7 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.283 2
6.9%
0.3085 2
6.9%
0.359 2
6.9%
0.61 2
6.9%
0.6502 3
10.3%
0.6603 1
 
3.4%
0.7 1
 
3.4%
0.747 1
 
3.4%
0.752 1
 
3.4%
0.814 2
6.9%
ValueCountFrequency (%)
10.62 2
6.9%
5.13645 1
3.4%
3.529 1
3.4%
2.4417 1
3.4%
2.433 1
3.4%
2.16 2
6.9%
1.4 1
3.4%
0.9415 1
3.4%
0.9 1
3.4%
0.88 1
3.4%

0.6139
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60765
Minimum0
Maximum2.1255
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:08.447706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.048
Q10.269
median0.359
Q30.637
95-th percentile1.78
Maximum2.1255
Range2.1255
Interquartile range (IQR)0.368

Descriptive statistics

Standard deviation0.58839874
Coefficient of variation (CV)0.9683185
Kurtosis0.7822852
Mean0.60765
Median Absolute Deviation (MAD)0.216
Skewness1.3693977
Sum17.62185
Variance0.34621307
MonotonicityNot monotonic
2023-12-10T15:39:08.621026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.269 3
 
10.3%
0.0 2
 
6.9%
0.12 2
 
6.9%
0.3085 2
 
6.9%
1.78 2
 
6.9%
0.544 2
 
6.9%
0.143 2
 
6.9%
0.359 2
 
6.9%
0.48 2
 
6.9%
1.598 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 2
6.9%
0.12 2
6.9%
0.143 2
6.9%
0.21 1
 
3.4%
0.269 3
10.3%
0.287 1
 
3.4%
0.3085 2
6.9%
0.359 2
6.9%
0.48 2
6.9%
0.503 1
 
3.4%
ValueCountFrequency (%)
2.1255 1
3.4%
1.78 2
6.9%
1.598 1
3.4%
1.4 1
3.4%
1.251 1
3.4%
0.72045 1
3.4%
0.637 1
3.4%
0.6139 1
3.4%
0.544 2
6.9%
0.503 1
3.4%

0.0084
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3096
Minimum0
Maximum4
Zeros19
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:08.808558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.21
95-th percentile1.578
Maximum4
Range4
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.82444046
Coefficient of variation (CV)2.6629214
Kurtosis15.29004
Mean0.3096
Median Absolute Deviation (MAD)0
Skewness3.7663374
Sum8.9784
Variance0.67970207
MonotonicityNot monotonic
2023-12-10T15:39:09.004478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 19
65.5%
0.33 3
 
10.3%
0.0084 1
 
3.4%
0.14 1
 
3.4%
2.03 1
 
3.4%
4.0 1
 
3.4%
0.9 1
 
3.4%
0.21 1
 
3.4%
0.7 1
 
3.4%
ValueCountFrequency (%)
0.0 19
65.5%
0.0084 1
 
3.4%
0.14 1
 
3.4%
0.21 1
 
3.4%
0.33 3
 
10.3%
0.7 1
 
3.4%
0.9 1
 
3.4%
2.03 1
 
3.4%
4.0 1
 
3.4%
ValueCountFrequency (%)
4.0 1
 
3.4%
2.03 1
 
3.4%
0.9 1
 
3.4%
0.7 1
 
3.4%
0.33 3
 
10.3%
0.21 1
 
3.4%
0.14 1
 
3.4%
0.0084 1
 
3.4%
0.0 19
65.5%

0.2356
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8240369
Minimum0.014
Maximum2.233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:09.211027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.014
5-th percentile0.04624
Q10.2056
median0.4305
Q31.47
95-th percentile2.162128
Maximum2.233
Range2.219
Interquartile range (IQR)1.2644

Descriptive statistics

Standard deviation0.76835796
Coefficient of variation (CV)0.9324315
Kurtosis-1.0296467
Mean0.8240369
Median Absolute Deviation (MAD)0.3359
Skewness0.72601604
Sum23.89707
Variance0.59037396
MonotonicityNot monotonic
2023-12-10T15:39:09.436710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.2056 3
 
10.3%
0.65 2
 
6.9%
0.014 2
 
6.9%
0.0946 2
 
6.9%
2.03 2
 
6.9%
0.4305 2
 
6.9%
0.18 2
 
6.9%
0.35 2
 
6.9%
1.47 2
 
6.9%
2.1695 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.014 2
6.9%
0.0946 2
6.9%
0.1484 1
 
3.4%
0.18 2
6.9%
0.2056 3
10.3%
0.2356 1
 
3.4%
0.35 2
6.9%
0.4305 2
6.9%
0.65 2
6.9%
0.72 1
 
3.4%
ValueCountFrequency (%)
2.233 1
3.4%
2.1695 1
3.4%
2.15107 1
3.4%
2.03 2
6.9%
1.6144 1
3.4%
1.56 1
3.4%
1.47 2
6.9%
1.0831 1
3.4%
0.927 1
3.4%
0.72 1
3.4%

0.0451
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11229114
Minimum0.00107
Maximum0.5136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:09.652409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00107
5-th percentile0.002642
Q10.03535
median0.077
Q30.15
95-th percentile0.28
Maximum0.5136
Range0.51253
Interquartile range (IQR)0.11465

Descriptive statistics

Standard deviation0.11837577
Coefficient of variation (CV)1.0541862
Kurtosis3.3599906
Mean0.11229114
Median Absolute Deviation (MAD)0.069
Skewness1.6790082
Sum3.256443
Variance0.014012823
MonotonicityNot monotonic
2023-12-10T15:39:09.883689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.077 3
 
10.3%
0.005 2
 
6.9%
0.00107 2
 
6.9%
0.28 2
 
6.9%
0.063 2
 
6.9%
0.15 2
 
6.9%
0.008 2
 
6.9%
0.12 2
 
6.9%
0.0451 1
 
3.4%
0.1 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.00107 2
6.9%
0.005 2
6.9%
0.008 2
6.9%
0.03 1
3.4%
0.03535 1
3.4%
0.0354 1
3.4%
0.042293 1
3.4%
0.0451 1
3.4%
0.05 1
3.4%
0.063 2
6.9%
ValueCountFrequency (%)
0.5136 1
 
3.4%
0.28 2
6.9%
0.273 1
 
3.4%
0.252 1
 
3.4%
0.23 1
 
3.4%
0.16456 1
 
3.4%
0.15 2
6.9%
0.12 2
6.9%
0.1 1
 
3.4%
0.077 3
10.3%

0.4
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21034483
Minimum0
Maximum2.5
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:10.088374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.15
95-th percentile0.69
Maximum2.5
Range2.5
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.49792055
Coefficient of variation (CV)2.3671633
Kurtosis16.574064
Mean0.21034483
Median Absolute Deviation (MAD)0
Skewness3.7744806
Sum6.1
Variance0.24792488
MonotonicityNot monotonic
2023-12-10T15:39:10.279041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 20
69.0%
0.5 2
 
6.9%
0.6 2
 
6.9%
0.4 1
 
3.4%
0.1 1
 
3.4%
0.75 1
 
3.4%
2.5 1
 
3.4%
0.15 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.1 1
 
3.4%
0.15 1
 
3.4%
0.4 1
 
3.4%
0.5 2
 
6.9%
0.6 2
 
6.9%
0.75 1
 
3.4%
2.5 1
 
3.4%
ValueCountFrequency (%)
2.5 1
 
3.4%
0.75 1
 
3.4%
0.6 2
 
6.9%
0.5 2
 
6.9%
0.4 1
 
3.4%
0.15 1
 
3.4%
0.1 1
 
3.4%
0.0 20
69.0%

0.2534
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4201221
Minimum0
Maximum1.143591
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:10.464400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008976
Q10.158
median0.33
Q30.71
95-th percentile0.999042
Maximum1.143591
Range1.143591
Interquartile range (IQR)0.552

Descriptive statistics

Standard deviation0.33342191
Coefficient of variation (CV)0.79363096
Kurtosis-0.63123893
Mean0.4201221
Median Absolute Deviation (MAD)0.192
Skewness0.68839426
Sum12.183541
Variance0.11117017
MonotonicityNot monotonic
2023-12-10T15:39:10.706856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.33 3
 
10.3%
0.01944 2
 
6.9%
0.138 2
 
6.9%
0.89 2
 
6.9%
0.2655 2
 
6.9%
0.158 2
 
6.9%
0.426 2
 
6.9%
0.71 2
 
6.9%
0.2534 1
 
3.4%
0.002 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 1
3.4%
0.002 1
3.4%
0.01944 2
6.9%
0.138 2
6.9%
0.158 2
6.9%
0.2196 1
3.4%
0.2389 1
3.4%
0.251 1
3.4%
0.2534 1
3.4%
0.2655 2
6.9%
ValueCountFrequency (%)
1.143591 1
 
3.4%
1.04407 1
 
3.4%
0.9315 1
 
3.4%
0.89 2
6.9%
0.7416 1
 
3.4%
0.71 2
6.9%
0.63 1
 
3.4%
0.524 1
 
3.4%
0.426 2
6.9%
0.33 3
10.3%

0.01
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5890517
Minimum0
Maximum98.69
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:10.913154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.35
Q33.65
95-th percentile15.91
Maximum98.69
Range98.69
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation18.539881
Coefficient of variation (CV)2.8137404
Kurtosis23.626951
Mean6.5890517
Median Absolute Deviation (MAD)0.35
Skewness4.689995
Sum191.0825
Variance343.72718
MonotonicityNot monotonic
2023-12-10T15:39:11.209071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 11
37.9%
15.91 3
 
10.3%
0.35 2
 
6.9%
3.65 2
 
6.9%
1.53 2
 
6.9%
0.01 1
 
3.4%
2.69 1
 
3.4%
12.81 1
 
3.4%
1.11 1
 
3.4%
0.02 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 11
37.9%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.1225 1
 
3.4%
0.35 2
 
6.9%
1.11 1
 
3.4%
1.53 2
 
6.9%
2.69 1
 
3.4%
3.65 2
 
6.9%
4.04 1
 
3.4%
ValueCountFrequency (%)
98.69 1
 
3.4%
15.91 3
10.3%
12.81 1
 
3.4%
12.8 1
 
3.4%
4.04 1
 
3.4%
3.65 2
6.9%
2.69 1
 
3.4%
1.53 2
6.9%
1.11 1
 
3.4%
0.35 2
6.9%

0.3675
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.977983
Minimum0.042
Maximum57.3205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:11.394687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.042
5-th percentile0.13
Q10.3855
median12.46
Q316.91
95-th percentile32.87076
Maximum57.3205
Range57.2785
Interquartile range (IQR)16.5245

Descriptive statistics

Standard deviation12.826477
Coefficient of variation (CV)1.0708378
Kurtosis4.9868725
Mean11.977983
Median Absolute Deviation (MAD)7.108
Skewness1.8880382
Sum347.3615
Variance164.51851
MonotonicityNot monotonic
2023-12-10T15:39:11.600398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5.352 3
 
10.3%
0.042 2
 
6.9%
0.262 2
 
6.9%
12.46 2
 
6.9%
18.8695 2
 
6.9%
8.668 2
 
6.9%
0.3855 2
 
6.9%
16.91 2
 
6.9%
0.3675 1
 
3.4%
15.85 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.042 2
6.9%
0.262 2
6.9%
0.314 1
 
3.4%
0.3675 1
 
3.4%
0.3855 2
6.9%
0.518 1
 
3.4%
5.352 3
10.3%
8.668 2
6.9%
12.46 2
6.9%
13.721 1
 
3.4%
ValueCountFrequency (%)
57.3205 1
3.4%
40.7026 1
3.4%
21.123 1
3.4%
18.9609 1
3.4%
18.8695 2
6.9%
17.36 1
3.4%
16.91 2
6.9%
15.85 1
3.4%
15.4 1
3.4%
14.474 1
3.4%

0.938
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.839931
Minimum0
Maximum254.8
Zeros12
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:11.822894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.5
Q333.42
95-th percentile228.5
Maximum254.8
Range254.8
Interquartile range (IQR)33.42

Descriptive statistics

Standard deviation72.274135
Coefficient of variation (CV)1.9618423
Kurtosis4.631663
Mean36.839931
Median Absolute Deviation (MAD)7.5
Skewness2.3837405
Sum1068.358
Variance5223.5505
MonotonicityNot monotonic
2023-12-10T15:39:12.051064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 12
41.4%
33.42 3
 
10.3%
7.5 2
 
6.9%
9.8 2
 
6.9%
0.938 1
 
3.4%
79.6 1
 
3.4%
254.8 1
 
3.4%
34.28 1
 
3.4%
10.5 1
 
3.4%
10.7 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 12
41.4%
0.938 1
 
3.4%
7.5 2
 
6.9%
9.0 1
 
3.4%
9.8 2
 
6.9%
10.5 1
 
3.4%
10.7 1
 
3.4%
33.42 3
 
10.3%
34.28 1
 
3.4%
79.6 1
 
3.4%
ValueCountFrequency (%)
254.8 1
 
3.4%
237.5 1
 
3.4%
215.0 1
 
3.4%
81.18 1
 
3.4%
79.6 1
 
3.4%
34.28 1
 
3.4%
33.42 3
10.3%
10.7 1
 
3.4%
10.5 1
 
3.4%
9.8 2
6.9%

X.1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
X
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 29
100.0%

Length

2023-12-10T15:39:12.255972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:12.424720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

2.0315
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1748931
Minimum0
Maximum20.345
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:12.602826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1379
median3.324
Q36.442
95-th percentile11.1036
Maximum20.345
Range20.345
Interquartile range (IQR)6.3041

Descriptive statistics

Standard deviation4.7784683
Coefficient of variation (CV)1.1445726
Kurtosis3.2391644
Mean4.1748931
Median Absolute Deviation (MAD)3.1861
Skewness1.5796283
Sum121.0719
Variance22.83376
MonotonicityNot monotonic
2023-12-10T15:39:12.818204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
3.324 3
10.3%
0.43 2
 
6.9%
5.521 2
 
6.9%
1.879 2
 
6.9%
9.318 2
 
6.9%
2.0315 1
 
3.4%
11.484 1
 
3.4%
6.442 1
 
3.4%
0.1379 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.1379 1
 
3.4%
0.43 2
 
6.9%
0.658 1
 
3.4%
1.879 2
 
6.9%
2.0315 1
 
3.4%
3.324 3
10.3%
4.15 1
 
3.4%
5.521 2
 
6.9%
6.213 1
 
3.4%
ValueCountFrequency (%)
20.345 1
3.4%
11.484 1
3.4%
10.533 1
3.4%
9.318 2
6.9%
8.2135 1
3.4%
6.596 1
3.4%
6.442 1
3.4%
6.213 1
3.4%
5.521 2
6.9%
4.15 1
3.4%

0.308
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0488989
Minimum0
Maximum10.1233
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:13.084030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0551
median0.504
Q31.52
95-th percentile2.3606
Maximum10.1233
Range10.1233
Interquartile range (IQR)1.4649

Descriptive statistics

Standard deviation1.9080699
Coefficient of variation (CV)1.8191172
Kurtosis19.358643
Mean1.0488989
Median Absolute Deviation (MAD)0.504
Skewness4.0859963
Sum30.418067
Variance3.6407308
MonotonicityNot monotonic
2023-12-10T15:39:13.293924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
0.504 3
10.3%
0.08 2
 
6.9%
0.895 2
 
6.9%
0.284 2
 
6.9%
1.52 2
 
6.9%
0.308 1
 
3.4%
2.461 1
 
3.4%
1.83 1
 
3.4%
0.0551 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.0551 1
 
3.4%
0.08 2
 
6.9%
0.2 1
 
3.4%
0.284 2
 
6.9%
0.308 1
 
3.4%
0.504 3
10.3%
0.895 2
 
6.9%
1.218166667 1
 
3.4%
1.45 1
 
3.4%
ValueCountFrequency (%)
10.1233 1
3.4%
2.461 1
3.4%
2.21 1
3.4%
1.962 1
3.4%
1.83 1
3.4%
1.5305 1
3.4%
1.52 2
6.9%
1.45 1
3.4%
1.218166667 1
3.4%
0.895 2
6.9%

0.7952
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4563552
Minimum0
Maximum8.45
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:13.477678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0181
median1.308
Q32.506
95-th percentile3.7354
Maximum8.45
Range8.45
Interquartile range (IQR)2.4879

Descriptive statistics

Standard deviation1.8055579
Coefficient of variation (CV)1.2397785
Kurtosis7.0929064
Mean1.4563552
Median Absolute Deviation (MAD)1.258
Skewness2.2217639
Sum42.2343
Variance3.2600393
MonotonicityNot monotonic
2023-12-10T15:39:13.679024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
1.308 3
10.3%
0.06 2
 
6.9%
1.335 2
 
6.9%
0.74 2
 
6.9%
2.506 2
 
6.9%
0.7952 1
 
3.4%
4.055 1
 
3.4%
2.664 1
 
3.4%
0.0181 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.0181 1
 
3.4%
0.05 1
 
3.4%
0.06 2
 
6.9%
0.74 2
 
6.9%
0.7952 1
 
3.4%
1.308 3
10.3%
1.335 2
 
6.9%
1.9 1
 
3.4%
2.35 1
 
3.4%
ValueCountFrequency (%)
8.45 1
3.4%
4.055 1
3.4%
3.256 1
3.4%
2.9 1
3.4%
2.664 1
3.4%
2.59 1
3.4%
2.506 2
6.9%
2.35 1
3.4%
1.9 1
3.4%
1.335 2
6.9%

0.9269
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7447138
Minimum0
Maximum5.292
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:13.916436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0648
median0.9269
Q33.221
95-th percentile5.202
Maximum5.292
Range5.292
Interquartile range (IQR)3.1562

Descriptive statistics

Standard deviation1.8651061
Coefficient of variation (CV)1.0690041
Kurtosis-0.7558601
Mean1.7447138
Median Absolute Deviation (MAD)0.9269
Skewness0.83552686
Sum50.5967
Variance3.4786209
MonotonicityNot monotonic
2023-12-10T15:39:14.157350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
1.512 3
10.3%
0.31 2
 
6.9%
3.221 2
 
6.9%
0.855 2
 
6.9%
5.292 2
 
6.9%
0.9269 1
 
3.4%
4.958 1
 
3.4%
1.948 1
 
3.4%
0.0648 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.0648 1
 
3.4%
0.31 2
 
6.9%
0.406 1
 
3.4%
0.75 1
 
3.4%
0.855 2
 
6.9%
0.9269 1
 
3.4%
1.351 1
 
3.4%
1.512 3
10.3%
1.948 1
 
3.4%
ValueCountFrequency (%)
5.292 2
6.9%
5.067 1
 
3.4%
4.958 1
 
3.4%
4.2835 1
 
3.4%
3.945 1
 
3.4%
3.221 2
6.9%
3.0045 1
 
3.4%
1.948 1
 
3.4%
1.512 3
10.3%
1.351 1
 
3.4%

0.5
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
25 
0.05
 
2
0.08
 
1
0.015
 
1

Length

Max length5
Median length3
Mean length3.1724138
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.08

Common Values

ValueCountFrequency (%)
0.0 25
86.2%
0.05 2
 
6.9%
0.08 1
 
3.4%
0.015 1
 
3.4%

Length

2023-12-10T15:39:14.453118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:14.642443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
86.2%
0.05 2
 
6.9%
0.08 1
 
3.4%
0.015 1
 
3.4%

19.52
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.62176
Minimum0
Maximum946.125
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:14.821274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.12
median278.3
Q3386.8
95-th percentile791.44
Maximum946.125
Range946.125
Interquartile range (IQR)367.68

Descriptive statistics

Standard deviation259.46402
Coefficient of variation (CV)0.96590843
Kurtosis1.0299829
Mean268.62176
Median Absolute Deviation (MAD)156.25
Skewness1.090224
Sum7790.031
Variance67321.578
MonotonicityNot monotonic
2023-12-10T15:39:15.018085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
171.91 3
 
10.3%
3.9 2
 
6.9%
387.8 2
 
6.9%
281.55 2
 
6.9%
19.12 2
 
6.9%
122.05 2
 
6.9%
344.1 2
 
6.9%
464.41 1
 
3.4%
386.8 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
3.9 2
6.9%
12.976 1
 
3.4%
19.12 2
6.9%
19.52 1
 
3.4%
122.05 2
6.9%
171.91 3
10.3%
278.3 1
 
3.4%
281.55 2
6.9%
344.1 2
6.9%
ValueCountFrequency (%)
946.125 1
3.4%
908.34 1
3.4%
616.09 1
3.4%
592.27 1
3.4%
464.41 1
3.4%
387.8 2
6.9%
386.8 1
3.4%
374.34 1
3.4%
358.09 1
3.4%
344.1 2
6.9%

30.53
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.83003
Minimum0
Maximum1576.875
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:15.202664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131.5
median493.44
Q3746.2
95-th percentile1383.536
Maximum1576.875
Range1576.875
Interquartile range (IQR)714.7

Descriptive statistics

Standard deviation451.94178
Coefficient of variation (CV)0.94187889
Kurtosis0.28748445
Mean479.83003
Median Absolute Deviation (MAD)264.28
Skewness0.88638085
Sum13915.071
Variance204251.37
MonotonicityNot monotonic
2023-12-10T15:39:15.406397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
276.52 3
 
10.3%
4.5 2
 
6.9%
746.2 2
 
6.9%
493.44 2
 
6.9%
31.5 2
 
6.9%
258.2 2
 
6.9%
618.5 2
 
6.9%
820.94 1
 
3.4%
619.0 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
4.5 2
6.9%
22.286 1
 
3.4%
30.53 1
 
3.4%
31.5 2
6.9%
258.2 2
6.9%
276.52 3
10.3%
493.44 2
6.9%
540.1 1
 
3.4%
618.5 2
6.9%
ValueCountFrequency (%)
1576.875 1
3.4%
1514.44 1
3.4%
1187.18 1
3.4%
1063.94 1
3.4%
820.94 1
3.4%
757.72 1
3.4%
746.2 2
6.9%
647.82 1
3.4%
619.0 1
3.4%
618.5 2
6.9%

21.47
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.01852
Minimum0
Maximum1311.43
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:15.641818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.617
median280.2
Q3503
95-th percentile1155.582
Maximum1311.43
Range1311.43
Interquartile range (IQR)484.383

Descriptive statistics

Standard deviation369.64623
Coefficient of variation (CV)1.1066639
Kurtosis1.5266819
Mean334.01852
Median Absolute Deviation (MAD)258.73
Skewness1.4073352
Sum9686.537
Variance136638.34
MonotonicityNot monotonic
2023-12-10T15:39:15.869776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
300.03 3
 
10.3%
2.7 2
 
6.9%
280.2 2
 
6.9%
423.36 2
 
6.9%
14.01 2
 
6.9%
126.0 2
 
6.9%
140.6 2
 
6.9%
543.8 1
 
3.4%
503.0 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
2.7 2
6.9%
14.01 2
6.9%
18.617 1
 
3.4%
21.47 1
 
3.4%
126.0 2
6.9%
140.6 2
6.9%
227.7 1
 
3.4%
280.2 2
6.9%
300.03 3
10.3%
ValueCountFrequency (%)
1311.43 1
 
3.4%
1281.47 1
 
3.4%
966.75 1
 
3.4%
833.52 1
 
3.4%
573.69 1
 
3.4%
543.8 1
 
3.4%
531.26 1
 
3.4%
503.0 1
 
3.4%
423.36 2
6.9%
300.03 3
10.3%

5.41
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.36493
Minimum0
Maximum467.1
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:16.586522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.6
median106.03
Q3169.5
95-th percentile379.336
Maximum467.1
Range467.1
Interquartile range (IQR)161.9

Descriptive statistics

Standard deviation125.24305
Coefficient of variation (CV)0.95339791
Kurtosis0.81571373
Mean131.36493
Median Absolute Deviation (MAD)98.43
Skewness1.0473797
Sum3809.583
Variance15685.822
MonotonicityNot monotonic
2023-12-10T15:39:16.791141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
101.06 3
 
10.3%
0.6 2
 
6.9%
169.5 2
 
6.9%
156.09 2
 
6.9%
7.6 2
 
6.9%
95.5 2
 
6.9%
113.0 2
 
6.9%
235.71 1
 
3.4%
252.5 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
0.6 2
6.9%
3.863 1
 
3.4%
5.41 1
 
3.4%
7.6 2
6.9%
95.5 2
6.9%
101.06 3
10.3%
106.03 1
 
3.4%
113.0 2
6.9%
138.5 1
 
3.4%
ValueCountFrequency (%)
467.1 1
3.4%
392.56 1
3.4%
359.5 1
3.4%
257.86 1
3.4%
252.5 1
3.4%
235.71 1
3.4%
202.79 1
3.4%
169.5 2
6.9%
156.09 2
6.9%
138.5 1
3.4%

21.25
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.135
Minimum0
Maximum890.55
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:16.970923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.6
median259.14
Q3405
95-th percentile722.141
Maximum890.55
Range890.55
Interquartile range (IQR)385.4

Descriptive statistics

Standard deviation247.93961
Coefficient of variation (CV)0.92468201
Kurtosis0.19821491
Mean268.135
Median Absolute Deviation (MAD)201.85
Skewness0.82576919
Sum7775.915
Variance61474.05
MonotonicityNot monotonic
2023-12-10T15:39:17.178545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
146.58 3
 
10.3%
2.4 2
 
6.9%
405.0 2
 
6.9%
259.14 2
 
6.9%
19.6 2
 
6.9%
164.5 2
 
6.9%
356.1 2
 
6.9%
488.31 1
 
3.4%
371.0 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
2.4 2
6.9%
16.03 1
 
3.4%
19.6 2
6.9%
21.25 1
 
3.4%
146.58 3
10.3%
164.5 2
6.9%
259.14 2
6.9%
330.37 1
 
3.4%
346.7 1
 
3.4%
ValueCountFrequency (%)
890.55 1
3.4%
805.375 1
3.4%
597.29 1
3.4%
594.83 1
3.4%
488.31 1
3.4%
460.99 1
3.4%
405.0 2
6.9%
371.0 1
3.4%
356.1 2
6.9%
346.7 1
3.4%

2021-01-21
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2021-01-21
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-21
2nd row2021-01-21
3rd row2021-01-21
4th row2021-01-21
5th row2021-01-21

Common Values

ValueCountFrequency (%)
2021-01-21 29
100.0%

Length

2023-12-10T15:39:17.440552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:17.590934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-21 29
100.0%

17.46
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.81362
Minimum0
Maximum813.14
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:17.738180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.21
median156.34
Q3324.5
95-th percentile641.926
Maximum813.14
Range813.14
Interquartile range (IQR)302.29

Descriptive statistics

Standard deviation220.9451
Coefficient of variation (CV)0.98718342
Kurtosis0.5770625
Mean223.81362
Median Absolute Deviation (MAD)143.06
Skewness1.0436495
Sum6490.595
Variance48816.735
MonotonicityNot monotonic
2023-12-10T15:39:17.969095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
156.34 3
 
10.3%
4.8 2
 
6.9%
299.4 2
 
6.9%
266.84 2
 
6.9%
22.21 2
 
6.9%
88.5 2
 
6.9%
132.0 2
 
6.9%
449.92 1
 
3.4%
324.5 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
4.8 2
6.9%
17.155 1
 
3.4%
17.46 1
 
3.4%
22.21 2
6.9%
88.5 2
6.9%
132.0 2
6.9%
156.34 3
10.3%
253.0 1
 
3.4%
266.84 2
6.9%
ValueCountFrequency (%)
813.14 1
3.4%
686.07 1
3.4%
575.71 1
3.4%
501.25 1
3.4%
449.92 1
3.4%
392.15 1
3.4%
363.72 1
3.4%
324.5 1
3.4%
299.4 2
6.9%
266.84 2
6.9%

3.96
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.216241
Minimum0
Maximum213.755
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:18.176401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.51
median33.92
Q380.1
95-th percentile182.353
Maximum213.755
Range213.755
Interquartile range (IQR)72.59

Descriptive statistics

Standard deviation60.965367
Coefficient of variation (CV)1.0655255
Kurtosis0.59146238
Mean57.216241
Median Absolute Deviation (MAD)33.02
Skewness1.1416064
Sum1659.271
Variance3716.776
MonotonicityNot monotonic
2023-12-10T15:39:18.369737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
60.352 3
 
10.3%
0.9 2
 
6.9%
80.1 2
 
6.9%
33.92 2
 
6.9%
7.51 2
 
6.9%
8.7 2
 
6.9%
26.7 2
 
6.9%
110.52 1
 
3.4%
62.5 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
0.9 2
6.9%
3.16 1
 
3.4%
3.96 1
 
3.4%
7.51 2
6.9%
8.7 2
6.9%
26.7 2
6.9%
33.92 2
6.9%
60.352 3
10.3%
62.5 1
 
3.4%
ValueCountFrequency (%)
213.755 1
3.4%
183.875 1
3.4%
180.07 1
3.4%
128.03 1
3.4%
120.275 1
3.4%
110.52 1
3.4%
85.0 1
3.4%
80.1 2
6.9%
71.41 1
3.4%
62.5 1
3.4%

24.35
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.779
Minimum0
Maximum1299
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:18.580853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.44
median289.7
Q3469
95-th percentile912.014
Maximum1299
Range1299
Interquartile range (IQR)445.56

Descriptive statistics

Standard deviation324.5599
Coefficient of variation (CV)0.99932538
Kurtosis1.8313769
Mean324.779
Median Absolute Deviation (MAD)245.7
Skewness1.2845804
Sum9418.591
Variance105339.13
MonotonicityNot monotonic
2023-12-10T15:39:18.784863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
192.68 3
 
10.3%
7.8 2
 
6.9%
459.4 2
 
6.9%
300.78 2
 
6.9%
23.44 2
 
6.9%
159.0 2
 
6.9%
535.4 2
 
6.9%
506.49 1
 
3.4%
469.0 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
7.8 2
6.9%
16.911 1
 
3.4%
23.44 2
6.9%
24.35 1
 
3.4%
159.0 2
6.9%
192.68 3
10.3%
289.7 1
 
3.4%
300.78 2
6.9%
347.63 1
 
3.4%
ValueCountFrequency (%)
1299.0 1
3.4%
1035.33 1
3.4%
727.04 1
3.4%
706.5 1
3.4%
535.4 2
6.9%
506.49 1
3.4%
469.0 1
3.4%
459.4 2
6.9%
446.96 1
3.4%
347.63 1
3.4%

16.7
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.11541
Minimum0
Maximum1067
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:18.967933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median133.2
Q3262.95
95-th percentile673.106
Maximum1067
Range1067
Interquartile range (IQR)252.95

Descriptive statistics

Standard deviation245.17821
Coefficient of variation (CV)1.2130604
Kurtosis4.8955162
Mean202.11541
Median Absolute Deviation (MAD)123.2
Skewness2.0766512
Sum5861.347
Variance60112.354
MonotonicityNot monotonic
2023-12-10T15:39:19.179154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
96.46 3
 
10.3%
9.6 2
 
6.9%
222.4 2
 
6.9%
128.84 2
 
6.9%
10.0 2
 
6.9%
160.5 2
 
6.9%
153.2 2
 
6.9%
286.33 1
 
3.4%
322.5 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
8.257 1
 
3.4%
9.6 2
6.9%
10.0 2
6.9%
16.7 1
 
3.4%
96.46 3
10.3%
128.84 2
6.9%
133.2 1
 
3.4%
153.2 2
6.9%
160.5 2
6.9%
ValueCountFrequency (%)
1067.0 1
3.4%
700.53 1
3.4%
631.97 1
3.4%
449.89 1
3.4%
323.56 1
3.4%
322.5 1
3.4%
286.33 1
3.4%
262.95 1
3.4%
222.4 2
6.9%
160.5 2
6.9%

55.35
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.01507
Minimum0
Maximum1291.26
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:39:19.372490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147.66
median415.86
Q3676.49
95-th percentile1098.426
Maximum1291.26
Range1291.26
Interquartile range (IQR)628.83

Descriptive statistics

Standard deviation373.95408
Coefficient of variation (CV)0.93019915
Kurtosis-0.2513716
Mean402.01507
Median Absolute Deviation (MAD)274.86
Skewness0.7391376
Sum11658.437
Variance139841.65
MonotonicityNot monotonic
2023-12-10T15:39:19.617181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
10.3%
227.01 3
 
10.3%
4.8 2
 
6.9%
683.8 2
 
6.9%
415.86 2
 
6.9%
47.66 2
 
6.9%
141.0 2
 
6.9%
514.0 2
 
6.9%
853.23 1
 
3.4%
420.0 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 3
10.3%
4.8 2
6.9%
16.667 1
 
3.4%
47.66 2
6.9%
55.35 1
 
3.4%
141.0 2
6.9%
227.01 3
10.3%
415.86 2
6.9%
420.0 1
 
3.4%
514.0 2
6.9%
ValueCountFrequency (%)
1291.26 1
3.4%
1153.25 1
3.4%
1016.19 1
3.4%
853.23 1
3.4%
741.29 1
3.4%
683.8 2
6.9%
676.49 1
3.4%
572.14 1
3.4%
567.3 1
3.4%
514.0 2
6.9%

점심
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
저녁
12 
점심
아침
간식

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저녁 12
41.4%
점심 6
20.7%
아침 6
20.7%
간식 5
17.2%

Length

2023-12-10T15:39:19.868449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:20.039535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저녁 12
41.4%
점심 6
20.7%
아침 6
20.7%
간식 5
17.2%
Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:39:20.304525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.896552
Min length11

Characters and Unicode

Total characters403
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)41.4%

Sample

1st rowAF001110110270
2nd rowAF001010110020
3rd rowAF001100120210
4th rowAF001040190140
5th rowAF001040190040
ValueCountFrequency (%)
af001080110040 3
 
10.3%
af001010120250 2
 
6.9%
af001080150110 2
 
6.9%
af001110111030 2
 
6.9%
af001100130010 2
 
6.9%
af001010110020 2
 
6.9%
af001040110780 2
 
6.9%
af001120120330 2
 
6.9%
af001020110430 1
 
3.4%
af001110110270 1
 
3.4%
Other values (10) 10
34.5%
2023-12-10T15:39:20.849994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 180
44.7%
1 102
25.3%
A 28
 
6.9%
F 28
 
6.9%
2 18
 
4.5%
4 12
 
3.0%
3 11
 
2.7%
8 8
 
2.0%
5 6
 
1.5%
7 5
 
1.2%
Other values (2) 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 347
86.1%
Uppercase Letter 56
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 180
51.9%
1 102
29.4%
2 18
 
5.2%
4 12
 
3.5%
3 11
 
3.2%
8 8
 
2.3%
5 6
 
1.7%
7 5
 
1.4%
9 3
 
0.9%
6 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 28
50.0%
F 28
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 347
86.1%
Latin 56
 
13.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 180
51.9%
1 102
29.4%
2 18
 
5.2%
4 12
 
3.5%
3 11
 
3.2%
8 8
 
2.3%
5 6
 
1.7%
7 5
 
1.4%
9 3
 
0.9%
6 2
 
0.6%
Latin
ValueCountFrequency (%)
A 28
50.0%
F 28
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 180
44.7%
1 102
25.3%
A 28
 
6.9%
F 28
 
6.9%
2 18
 
4.5%
4 12
 
3.0%
3 11
 
2.7%
8 8
 
2.0%
5 6
 
1.5%
7 5
 
1.2%
Other values (2) 5
 
1.2%

Sample

26201001am20AFS00111나물|무침류도토리묵무침1인분(1/4모)10058.9299.28512.30952.3067201.0060.76490.04551.516979.0380.628351.120.1313.225*0.20.789622.7462.94570.01860.04960.17240.096832.3790.3유방암0.02340.13429.27327.8650.20337.116146.23.69969.842.296X0.66030.61390.00840.23560.04510.40.25340.010.36750.938X.12.03150.3080.79520.92690.519.5230.5321.475.4121.252021-01-2117.463.9624.3516.755.35점심AF001110110270
026201002am20AFS00111나물|무침류도토리묵무침1인분(1/4모)100.058.9299.28512.30952.306720.01.0060.76490.04551.516979.0380.628351.120.0313.225*0.00.789622.7462.94570.01860.04960.17240.096832.3790.0유방암0.02340.13429.27327.8650.20337.116146.23.69969.842.296X0.66030.61390.00840.23560.04510.00.25340.010.36750.938X2.03150.3080.79520.92690.019.5230.5321.475.4121.252021-01-2117.463.9624.3516.755.35점심AF001110110270
126201003am20AFS0011밥류쌀밥1공기210.0362.179.361.371.0920.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0유방암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0점심AF001010110020
226201004am20AFS00110튀김류탕수육1인분150.0274.81426.90511.02048.035420.8216.57820.54821.181.1194101.1712.2167141.0615.6791.735*0.38.56221.8655.2450.20640.17781.32040.039223.6040.37유방암0.594.6520.6047.0044.3187.468444.2127.825389.9525.15X0.7520.2870.141.08310.03540.40.23892.6918.960979.6X10.5332.213.2565.0670.0616.091187.181281.47392.56597.292021-01-21686.07180.07706.5631.971016.19점심AF001100120210
326201005am20AFS0014국|탕류순두부찌개1인분400.0184.4417.9599.39414.464124.2118.50585.56987.22.8416198.7155.5263144.576.1412.035*1.52.11826.5586.360.14610.39021.63610.1268115.4996.97유방암0.8612.96100.77664.47630.5248.1771411.63102.85455.420.095X3.5291.2512.031.61440.51360.50.219612.8140.7026254.8X6.2131.9622.91.3510.0908.341514.441311.43467.1890.552021-01-21813.14213.7551035.33700.531291.26점심AF001040190140
426201006am20AFS0014국|탕류김치찌개1대접400.0412.8610.79835.694.828120.016.5979.4750.05.6592216.4996.521560.4179.5443.55*0.3351.474380.5520.69960.353180.205911.97640.2675158.0470.255유방암0.316860.315166.61153.3810.0257.322071.941.513627.8719.3975X2.44172.12550.02.2330.164560.00.74161.1114.47434.28X20.34510.12338.453.9450.08592.271063.94833.52257.86594.832021-01-21575.71128.03727.04449.89741.29점심AF001040190040
526201007am20AFS0011밥류쌀밥1공기210.0362.179.361.371.0920.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0유방암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0점심AF001010110020
626201008am20AFS0011밥류보리밥1공기210.0351.378.420.150.1520.06.126.120.01.8214.970.340.630.03.65*0.00.510.220.00.130.00.90.1525.710.0유방암1.22.77.37.30.076.55.00.0109.80.0X1.41.40.01.560.230.00.630.017.360.0X0.00.00.00.00.0278.3540.1227.7138.5346.72021-01-21253.085.0289.7133.2567.3아침AF001010120190
726201009am20AFS0014국|탕류오징어무국1인분300.064.834.1281.0860.38220.010.4411.0070.02.0577.0272.318132.230.0802.485*3.01.3184.7029.780.070.0540.6580.04728.0442.2유방암0.6360.020.3114.510.0156.34583.2912.05345.7125.51X0.7470.6370.00.9270.2730.00.2510.020.51810.5X0.6580.20.050.4060.0358.09647.82531.26106.03330.372021-01-21363.7271.41347.63262.95676.49아침AF001040110500
826201010am20AFS0012면|만두류짜장면1인분650.0406.8468.5288.7145.03320.012.2250.7150.05.527234.0222.07154.530.285.85*0.09.586517.3517.19750.2630.23352.58450.02353.5050.08유방암0.4670.6976.05.910.0140.985387.8213.7439.7830.225X0.880.210.00.720.030.10.52498.6913.72110.7X8.21351.53052.354.28350.0374.34757.72573.69202.79460.992021-01-21392.15120.275446.96323.56572.14간식AF001020110430
926201011am20AFS00110튀김류식빵튀김1인분70.0223.8328.54710.610.620.04.154.150.01.716.9030.81.00.06.05*0.08.7917.3580.00.050.050.950.011.50.0유방암0.10.011.0911.090.043.033.060.082.590.0X0.3590.3590.00.350.150.00.1580.08.6687.5X9.3181.522.5065.2920.0122.05258.2126.095.5164.52021-01-2188.58.7159.0160.5141.0아침AF001100130010
26201001am20AFS00111나물|무침류도토리묵무침1인분(1/4모)10058.9299.28512.30952.3067201.0060.76490.04551.516979.0380.628351.120.1313.225*0.20.789622.7462.94570.01860.04960.17240.096832.3790.3유방암0.02340.13429.27327.8650.20337.116146.23.69969.842.296X0.66030.61390.00840.23560.04510.40.25340.010.36750.938X.12.03150.3080.79520.92690.519.5230.5321.475.4121.252021-01-2117.463.9624.3516.755.35점심AF001110110270
1926201021am25AFS0014국|탕류재첩국1대접200.047.743.0480.9660.01620.06.4220.1720.00.08442.3483.16820.640.0146.264*0.00.1041.882.640.06140.10741.30.00643.8160.0유방암0.00560.092.662.160.0107.58868.3812.1126.91.12X10.620.120.00.0140.0050.00.019440.00.0420.0X0.00.00.00.00.00.00.00.00.00.02021-01-210.00.00.00.00.0저녁AF001040110780
2026201022am25AFS0018볶음류꽈리멸치볶음1접시65.564.0364.4874.0583.69820.363.79140.9532.5443.263640.8271.575451.50.0308.894*0.01.6243.36826.80.0520.05920.93760.1524.9422.478유방암0.0410.072.4117.4954.1286.41209.947.6154.152.208X0.65020.2690.330.20560.0770.00.3315.915.35233.42X3.3240.5041.3081.5120.0171.91276.52300.03101.06146.582021-01-21156.3460.352192.6896.46227.01저녁AF001080110040
2126201023am25AFS0014국|탕류재첩국1대접200.047.743.0480.9660.01620.06.4220.1720.00.08442.3483.16820.640.0146.264*0.00.1041.882.640.06140.10741.30.00643.8160.0유방암0.00560.092.662.160.0107.58868.3812.1126.91.12X10.620.120.00.0140.0050.00.019440.00.0420.0X0.00.00.00.00.00.00.00.00.00.02021-01-210.00.00.00.00.0저녁AF001040110780
2226201024am25AFS00112김치|장아찌류단무지1종지25.035.6258.92450.030.0320.00.240.240.00.4532.29352.6562.30.013.84*0.00.01860.094.50.0090.0060.1240.006912.030.0유방암0.04140.012.69512.6950.07.34970.7323.8573.9850.0X0.30850.30850.00.09460.001070.00.1380.00.2620.0X0.00.00.00.00.03.94.52.70.62.42021-01-214.80.97.89.64.8저녁AF001120120330
2326201025am25AFS0018볶음류어묵볶음1접시110.0143.4316.6925.8053.55520.07.311.510.01.58482.7062.9175256.6812.01553.734*0.04.0588.96210.570.0530.0530.6630.05925.0590.3유방암0.1671.1453.4127.410.096.36817.4625.125286.5118.7X0.8140.5440.00.43050.0630.60.26553.6518.86959.8X5.5210.8951.3353.2210.05281.55493.44423.36156.09259.142021-01-21266.8433.92300.78128.84415.86저녁AF001080150110
2426201026am25AFS00111나물|무침류오이생채1접시90.035.9653.63352.28652.286520.01.02950.18950.00.692570.1391.4123.60.064.34*0.00.993514.4268.910.00750.00650.1120.01211.7490.0유방암0.22551.1221.4958.8950.033.31338.26.35155.6510.74X0.2830.1430.00.180.0080.00.4260.350.38550.0X1.8790.2840.740.8550.019.1231.514.017.619.62021-01-2122.217.5123.4410.047.66저녁AF001110111030
2526201027am25AFS0011밥류잡곡밥1공기210.0352.576.310.70.3420.07.836.870.03.4414.340.820.610.05.64*0.00.790.80.00.180.031.630.1352.260.0유방암1.222.2715.213.80.0159.43.90.0253.614.3X2.161.780.02.030.280.00.891.5312.460.0X0.430.080.060.310.0387.8746.2280.2169.5405.02021-01-21299.480.1459.4222.4683.8저녁AF001010120250
2626201028am25AFS00111나물|무침류파프리카초절임1종지45.062.20157714.46040.37260.121120.00.96080.18530.01.068874.3331.46420.2616670.0131.574*0.00.57585.105568.65110.02370.07360.717550.020817.650.0유방암0.00.021.75211.8520.023.115343.6946.05153.717.94X0.94150.5030.00.14840.035350.01.044070.00.3140.0X0.13790.05510.01810.06480.012.97622.28618.6173.86316.032021-01-2117.1553.1616.9118.25716.667간식AF001110111380
2726201029am25AFS0017전|부침류계란후라이1접시53.086.681.46.12.024.15.90.05.90.038.10.576.575.09.04*1.52.413.9520.00.050.150.30.0562.250.65유방암0.712.521.50.021.581.076.090.071.56.0X0.70.00.70.650.10.50.00212.815.85237.5X6.4421.832.6641.9480.0386.8619.0503.0252.5371.02021-01-21324.562.5469.0322.5420.0간식AF001070140050
2826201030am25AFS0018볶음류꽈리멸치볶음1접시65.564.0364.4874.0583.69820.363.79140.9532.5443.263640.8271.575451.50.0308.894*0.01.6243.36826.80.0520.05920.93760.1524.9422.478유방암0.0410.072.4117.4954.1286.41209.947.6154.152.208X0.65020.2690.330.20560.0770.00.3315.915.35233.42X3.3240.5041.3081.5120.0171.91276.52300.03101.06146.582021-01-21156.3460.352192.6896.46227.01간식AF001080110040