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

Numeric59
Categorical13
Text2
DateTime1

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000025

Alerts

am73 has constant value ""Constant
AFS001 has constant value ""Constant
1 has constant value ""Constant
5* has constant value ""Constant
위암 has constant value ""Constant
X has constant value ""Constant
X.1 has constant value ""Constant
2021-01-21 has constant value ""Constant
아침 has constant value ""Constant
0.3 is highly imbalanced (53.7%)Imbalance
0.7 is highly imbalanced (51.2%)Imbalance
731001 has unique valuesUnique
0.8038 has 2 (6.9%) zerosZeros
0 has 17 (58.6%) zerosZeros
0.0294 has 2 (6.9%) zerosZeros
0.1 has 13 (44.8%) zerosZeros
1.2104 has 2 (6.9%) zerosZeros
0.270333333 has 6 (20.7%) zerosZeros
0.2 has 20 (69.0%) zerosZeros
152.126 has 5 (17.2%) zerosZeros
11.389216 has 7 (24.1%) zerosZeros
9.04 has 7 (24.1%) zerosZeros
0.006296 has 2 (6.9%) zerosZeros
0.4 has 18 (62.1%) zerosZeros
0.60176 has 10 (34.5%) zerosZeros
0.25 has 2 (6.9%) zerosZeros
0.5 has 13 (44.8%) zerosZeros
0.12 has 7 (24.1%) zerosZeros
5.186 has 5 (17.2%) zerosZeros
0.0208 has 2 (6.9%) zerosZeros
0.6 has 13 (44.8%) zerosZeros
0.044974 has 2 (6.9%) zerosZeros
0.23336 has 10 (34.5%) zerosZeros
0.8 has 13 (44.8%) zerosZeros
0.84896 has 5 (17.2%) zerosZeros
0.13352 has 5 (17.2%) zerosZeros
0.30538 has 6 (20.7%) zerosZeros
0.40966 has 5 (17.2%) zerosZeros
0.0004 has 16 (55.2%) zerosZeros
10.998 has 2 (6.9%) zerosZeros
20.302 has 2 (6.9%) zerosZeros
17.102 has 2 (6.9%) zerosZeros
4.538 has 2 (6.9%) zerosZeros
12.388 has 2 (6.9%) zerosZeros
12.882 has 2 (6.9%) zerosZeros
0.672 has 2 (6.9%) zerosZeros
14.38 has 2 (6.9%) zerosZeros
6.378 has 2 (6.9%) zerosZeros
24.178 has 2 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-10 06:14:17.741617
Analysis finished2023-12-10 06:14:18.634447
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

731001
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean731016
Minimum731002
Maximum731030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:19.020136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum731002
5-th percentile731003.4
Q1731009
median731016
Q3731023
95-th percentile731028.6
Maximum731030
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)1.1647752 × 10-5
Kurtosis-1.2
Mean731016
Median Absolute Deviation (MAD)7
Skewness0
Sum21199464
Variance72.5
MonotonicityStrictly increasing
2023-12-10T15:14:19.197765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
731002 1
 
3.4%
731003 1
 
3.4%
731030 1
 
3.4%
731029 1
 
3.4%
731028 1
 
3.4%
731027 1
 
3.4%
731026 1
 
3.4%
731025 1
 
3.4%
731024 1
 
3.4%
731023 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
731002 1
3.4%
731003 1
3.4%
731004 1
3.4%
731005 1
3.4%
731006 1
3.4%
731007 1
3.4%
731008 1
3.4%
731009 1
3.4%
731010 1
3.4%
731011 1
3.4%
ValueCountFrequency (%)
731030 1
3.4%
731029 1
3.4%
731028 1
3.4%
731027 1
3.4%
731026 1
3.4%
731025 1
3.4%
731024 1
3.4%
731023 1
3.4%
731022 1
3.4%
731021 1
3.4%

am73
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
am73
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowam73
2nd rowam73
3rd rowam73
4th rowam73
5th rowam73

Common Values

ValueCountFrequency (%)
am73 29
100.0%

Length

2023-12-10T15:14:19.390867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:19.528718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
am73 29
100.0%

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

2023-12-10T15:14:19.674748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:19.809791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
afs001 29
100.0%

12
Categorical

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
11
1
12
9
4
Other values (5)

Length

Max length4
Median length1
Mean length1.6206897
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row1
2nd row12
3rd row4
4th row9
5th row11

Common Values

ValueCountFrequency (%)
11 7
24.1%
1 5
17.2%
12 4
13.8%
9 3
10.3%
4 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
G010 2
 
6.9%
15 1
 
3.4%
5 1
 
3.4%

Length

2023-12-10T15:14:19.963780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:20.158052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 7
24.1%
1 5
17.2%
12 4
13.8%
9 3
10.3%
4 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
g010 2
 
6.9%
15 1
 
3.4%
5 1
 
3.4%
Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
나물|무침류
밥류
김치|장아찌류
조림류
국|탕류
Other values (5)

Length

Max length7
Median length6
Mean length4.2068966
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row밥류
2nd row김치|장아찌류
3rd row국|탕류
4th row조림류
5th row나물|무침류

Common Values

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

Length

2023-12-10T15:14:20.364170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:20.526491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나물|무침류 7
24.1%
밥류 5
17.2%
김치|장아찌류 4
13.8%
조림류 3
10.3%
국|탕류 2
 
6.9%
볶음류 2
 
6.9%
면|만두류 2
 
6.9%
난류 2
 
6.9%
양념류 1
 
3.4%
찜류 1
 
3.4%
Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:14:20.819731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.7931034
Min length2

Characters and Unicode

Total characters110
Distinct characters62
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

Unique16 ?
Unique (%)55.2%

Sample

1st row쌀밥
2nd row깍두기
3rd row미역국
4th row우엉조림
5th row도라지무침
ValueCountFrequency (%)
쌀밥 5
17.2%
잔치국수 2
 
6.9%
깍두기 2
 
6.9%
미역국 2
 
6.9%
삶은계란 2
 
6.9%
무생채 1
 
3.4%
딸기그린샐러드 1
 
3.4%
코다리조림 1
 
3.4%
부추무침 1
 
3.4%
배추김치 1
 
3.4%
Other values (11) 11
37.9%
2023-12-10T15:14:21.217449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
4.5%
5
 
4.5%
5
 
4.5%
5
 
4.5%
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (52) 71
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
4.5%
5
 
4.5%
5
 
4.5%
5
 
4.5%
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (52) 71
64.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
4.5%
5
 
4.5%
5
 
4.5%
5
 
4.5%
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (52) 71
64.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
 
4.5%
5
 
4.5%
5
 
4.5%
5
 
4.5%
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (52) 71
64.5%

1종지
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
1접시
14 
1공기
1인분
1대접
1종지

Length

Max length3
Median length3
Mean length2.9310345
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1공기
2nd row1접시
3rd row1대접
4th row1접시
5th row1인분

Common Values

ValueCountFrequency (%)
1접시 14
48.3%
1공기 5
 
17.2%
1인분 4
 
13.8%
1대접 2
 
6.9%
1종지 2
 
6.9%
1개 2
 
6.9%

Length

2023-12-10T15:14:21.406640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:21.566540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1접시 14
48.3%
1공기 5
 
17.2%
1인분 4
 
13.8%
1대접 2
 
6.9%
1종지 2
 
6.9%
1개 2
 
6.9%

15
Real number (ℝ)

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.10345
Minimum30
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:21.737616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile40
Q170
median83
Q3210
95-th percentile392
Maximum500
Range470
Interquartile range (IQR)140

Descriptive statistics

Standard deviation120.59061
Coefficient of variation (CV)0.85462556
Kurtosis3.817198
Mean141.10345
Median Absolute Deviation (MAD)43
Skewness1.894876
Sum4092
Variance14542.096
MonotonicityNot monotonic
2023-12-10T15:14:21.984846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
210 5
17.2%
70 3
10.3%
40 3
10.3%
50 2
 
6.9%
500 2
 
6.9%
80 2
 
6.9%
90 2
 
6.9%
230 2
 
6.9%
128 1
 
3.4%
30 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
30 1
 
3.4%
40 3
10.3%
50 2
6.9%
60 1
 
3.4%
70 3
10.3%
75 1
 
3.4%
76 1
 
3.4%
80 2
6.9%
83 1
 
3.4%
90 2
6.9%
ValueCountFrequency (%)
500 2
 
6.9%
230 2
 
6.9%
210 5
17.2%
200 1
 
3.4%
160 1
 
3.4%
128 1
 
3.4%
90 2
 
6.9%
83 1
 
3.4%
80 2
 
6.9%
76 1
 
3.4%

18.18
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.954
Minimum28.33
Maximum471.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:22.184247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.33
5-th percentile32.956
Q140.445
median84.45
Q3305.322
95-th percentile427.818
Maximum471.63
Range443.3
Interquartile range (IQR)264.877

Descriptive statistics

Standard deviation149.8847
Coefficient of variation (CV)0.93704878
Kurtosis-0.69797843
Mean159.954
Median Absolute Deviation (MAD)46.836
Skewness0.95816521
Sum4638.666
Variance22465.423
MonotonicityNot monotonic
2023-12-10T15:14:22.382170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
362.1 5
17.2%
90.12 2
 
6.9%
72.5 2
 
6.9%
471.63 2
 
6.9%
37.614 2
 
6.9%
73.04 1
 
3.4%
28.33 1
 
3.4%
175.91 1
 
3.4%
39.545 1
 
3.4%
39.121 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
28.33 1
3.4%
30.95 1
3.4%
35.965 1
3.4%
37.614 2
6.9%
39.121 1
3.4%
39.545 1
3.4%
40.445 1
3.4%
50.93 1
3.4%
58.38 1
3.4%
72.5 2
6.9%
ValueCountFrequency (%)
471.63 2
 
6.9%
362.1 5
17.2%
305.322 1
 
3.4%
259.984975 1
 
3.4%
175.91 1
 
3.4%
91.49 1
 
3.4%
90.12 2
 
6.9%
89.69 1
 
3.4%
84.45 1
 
3.4%
80.885 1
 
3.4%

2.46996
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.962728
Minimum1.35
Maximum79.667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:22.572313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.35
5-th percentile1.8484
Q16.31
median7.932
Q319.3017
95-th percentile79.5442
Maximum79.667
Range78.317
Interquartile range (IQR)12.9917

Descriptive statistics

Standard deviation31.536631
Coefficient of variation (CV)1.2633488
Kurtosis-0.46888758
Mean24.962728
Median Absolute Deviation (MAD)4.552
Skewness1.218004
Sum723.9191
Variance994.55911
MonotonicityNot monotonic
2023-12-10T15:14:22.813385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
79.36 5
17.2%
3.38 2
 
6.9%
1.35 2
 
6.9%
79.667 2
 
6.9%
7.9241 2
 
6.9%
9.401 1
 
3.4%
2.596 1
 
3.4%
13.2712 1
 
3.4%
5.8244 1
 
3.4%
8.7446 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
1.35 2
6.9%
2.596 1
3.4%
3.38 2
6.9%
3.6335 1
3.4%
5.8244 1
3.4%
6.31 1
3.4%
6.5429 1
3.4%
6.619 1
3.4%
6.945 1
3.4%
6.9544 1
3.4%
ValueCountFrequency (%)
79.667 2
 
6.9%
79.36 5
17.2%
19.3017 1
 
3.4%
17.4846 1
 
3.4%
13.2712 1
 
3.4%
12.0486 1
 
3.4%
9.401 1
 
3.4%
8.868 1
 
3.4%
8.7446 1
 
3.4%
7.932 1
 
3.4%

0.909
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4999293
Minimum0.29865
Maximum18.418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:23.019211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29865
5-th percentile0.49268
Q11.2383
median2.053
Q34.35
95-th percentile11.552
Maximum18.418
Range18.11935
Interquartile range (IQR)3.1117

Descriptive statistics

Standard deviation4.1171371
Coefficient of variation (CV)1.1763486
Kurtosis6.8001493
Mean3.4999293
Median Absolute Deviation (MAD)1.3498
Skewness2.5085147
Sum101.49795
Variance16.950818
MonotonicityNot monotonic
2023-12-10T15:14:23.195331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.37 5
17.2%
6.914 2
 
6.9%
4.35 2
 
6.9%
5.58 2
 
6.9%
0.5642 2
 
6.9%
3.778 1
 
3.4%
2.053 1
 
3.4%
2.1365 1
 
3.4%
1.6912 1
 
3.4%
0.29865 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.29865 1
 
3.4%
0.445 1
 
3.4%
0.5642 2
 
6.9%
0.732 1
 
3.4%
0.7696 1
 
3.4%
1.202 1
 
3.4%
1.2383 1
 
3.4%
1.37 5
17.2%
1.6912 1
 
3.4%
2.053 1
 
3.4%
ValueCountFrequency (%)
18.418 1
3.4%
14.644 1
3.4%
6.914 2
6.9%
5.58 2
6.9%
4.35 2
6.9%
3.935 1
3.4%
3.778 1
3.4%
3.4028 1
3.4%
2.801 1
3.4%
2.2865 1
3.4%

0.8038
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3661862
Minimum0
Maximum6.5405
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:23.384568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.0602
median0.982
Q31.607
95-th percentile5.006
Maximum6.5405
Range6.5405
Interquartile range (IQR)1.5468

Descriptive statistics

Standard deviation1.7085776
Coefficient of variation (CV)1.2506184
Kurtosis2.4856097
Mean1.3661862
Median Absolute Deviation (MAD)0.9218
Skewness1.717706
Sum39.6194
Variance2.9192375
MonotonicityNot monotonic
2023-12-10T15:14:23.556802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.09 5
17.2%
5.006 2
 
6.9%
0.0 2
 
6.9%
0.0075 2
 
6.9%
0.0602 2
 
6.9%
0.642 1
 
3.4%
2.053 1
 
3.4%
0.015 1
 
3.4%
1.607 1
 
3.4%
0.0126 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.0075 2
6.9%
0.0126 1
3.4%
0.015 1
3.4%
0.0602 2
6.9%
0.2023 1
3.4%
0.2997 1
3.4%
0.358 1
3.4%
0.37 1
3.4%
0.642 1
3.4%
ValueCountFrequency (%)
6.5405 1
 
3.4%
5.006 2
 
6.9%
3.3528 1
 
3.4%
3.015 1
 
3.4%
2.2865 1
 
3.4%
2.053 1
 
3.4%
1.607 1
 
3.4%
1.516 1
 
3.4%
1.09 5
17.2%
0.982 1
 
3.4%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
100.0%

Length

2023-12-10T15:14:23.730428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:23.861354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
100.0%

0
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3496897
Minimum0
Maximum16.9
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:23.983136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.62
95-th percentile4.35
Maximum16.9
Range16.9
Interquartile range (IQR)1.62

Descriptive statistics

Standard deviation3.2829982
Coefficient of variation (CV)2.4324097
Kurtosis19.024089
Mean1.3496897
Median Absolute Deviation (MAD)0
Skewness4.1012423
Sum39.141
Variance10.778077
MonotonicityNot monotonic
2023-12-10T15:14:24.142261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 17
58.6%
1.62 2
 
6.9%
3.275 2
 
6.9%
4.35 2
 
6.9%
0.35 1
 
3.4%
0.9 1
 
3.4%
0.798 1
 
3.4%
16.9 1
 
3.4%
0.003 1
 
3.4%
1.7 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.003 1
 
3.4%
0.35 1
 
3.4%
0.798 1
 
3.4%
0.9 1
 
3.4%
1.62 2
 
6.9%
1.7 1
 
3.4%
3.275 2
 
6.9%
4.35 2
 
6.9%
16.9 1
 
3.4%
ValueCountFrequency (%)
16.9 1
 
3.4%
4.35 2
 
6.9%
3.275 2
 
6.9%
1.7 1
 
3.4%
1.62 2
 
6.9%
0.9 1
 
3.4%
0.798 1
 
3.4%
0.35 1
 
3.4%
0.003 1
 
3.4%
0.0 17
58.6%

0.47772
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4632069
Minimum0.499
Maximum27.4415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:24.317859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.499
5-th percentile1.17946
Q12.1908
median5.74
Q36.97
95-th percentile22.67852
Maximum27.4415
Range26.9425
Interquartile range (IQR)4.7792

Descriptive statistics

Standard deviation7.4856902
Coefficient of variation (CV)1.0030126
Kurtosis1.2253404
Mean7.4632069
Median Absolute Deviation (MAD)3.4339
Skewness1.4963492
Sum216.433
Variance56.035558
MonotonicityNot monotonic
2023-12-10T15:14:24.504646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.97 5
17.2%
5.74 2
 
6.9%
6.1 2
 
6.9%
19.979 2
 
6.9%
1.5897 2
 
6.9%
3.418 1
 
3.4%
0.499 1
 
3.4%
24.4782 1
 
3.4%
2.3328 1
 
3.4%
1.4044 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.499 1
3.4%
1.0295 1
3.4%
1.4044 1
3.4%
1.5897 2
6.9%
1.7708 1
3.4%
1.8179 1
3.4%
2.1908 1
3.4%
2.3061 1
3.4%
2.3328 1
3.4%
3.418 1
3.4%
ValueCountFrequency (%)
27.4415 1
 
3.4%
24.4782 1
 
3.4%
19.979 2
 
6.9%
19.1487 1
 
3.4%
13.0 1
 
3.4%
6.976 1
 
3.4%
6.97 5
17.2%
6.1 2
 
6.9%
5.74 2
 
6.9%
3.498 1
 
3.4%

0.0294
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2389379
Minimum0
Maximum12.3
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:24.718631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.042
Q10.262
median1.0315
Q32.686
95-th percentile6.24
Maximum12.3
Range12.3
Interquartile range (IQR)2.424

Descriptive statistics

Standard deviation2.9310971
Coefficient of variation (CV)1.3091462
Kurtosis3.6956123
Mean2.2389379
Median Absolute Deviation (MAD)0.8931
Skewness1.8730299
Sum64.9292
Variance8.59133
MonotonicityNot monotonic
2023-12-10T15:14:24.927344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.24 5
17.2%
0.262 2
 
6.9%
0.0 2
 
6.9%
0.105 2
 
6.9%
0.4933 2
 
6.9%
1.658 1
 
3.4%
0.499 1
 
3.4%
0.274 1
 
3.4%
2.1255 1
 
3.4%
0.1384 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.105 2
6.9%
0.1384 1
3.4%
0.1895 1
3.4%
0.262 2
6.9%
0.274 1
3.4%
0.446 1
3.4%
0.4933 2
6.9%
0.499 1
3.4%
0.8908 1
3.4%
ValueCountFrequency (%)
12.3 1
 
3.4%
6.24 5
17.2%
3.4539 1
 
3.4%
2.686 1
 
3.4%
2.1255 1
 
3.4%
2.0661 1
 
3.4%
1.675 1
 
3.4%
1.658 1
 
3.4%
1.4744 1
 
3.4%
1.1005 1
 
3.4%

0.1
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8199655
Minimum0
Maximum26.4
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:25.169269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1175
Q36.1
95-th percentile17.472
Maximum26.4
Range26.4
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation6.5744582
Coefficient of variation (CV)1.7210779
Kurtosis5.4167269
Mean3.8199655
Median Absolute Deviation (MAD)0.1175
Skewness2.2897277
Sum110.779
Variance43.2235
MonotonicityNot monotonic
2023-12-10T15:14:25.345446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 13
44.8%
0.299 2
 
6.9%
4.26 2
 
6.9%
8.875 2
 
6.9%
6.1 2
 
6.9%
11.13 1
 
3.4%
6.36 1
 
3.4%
5.724 1
 
3.4%
26.4 1
 
3.4%
0.065 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 13
44.8%
0.065 1
 
3.4%
0.1175 1
 
3.4%
0.2145 1
 
3.4%
0.299 2
 
6.9%
4.26 2
 
6.9%
5.724 1
 
3.4%
6.1 2
 
6.9%
6.36 1
 
3.4%
8.875 2
 
6.9%
ValueCountFrequency (%)
26.4 1
3.4%
21.7 1
3.4%
11.13 1
3.4%
8.875 2
6.9%
6.36 1
3.4%
6.1 2
6.9%
5.724 1
3.4%
4.26 2
6.9%
0.299 2
6.9%
0.2145 1
3.4%

1.2104
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2690021
Minimum0
Maximum6.592
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:25.524669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2156
Q11.82
median2.27
Q32.9267
95-th percentile4.78172
Maximum6.592
Range6.592
Interquartile range (IQR)1.1067

Descriptive statistics

Standard deviation1.4369259
Coefficient of variation (CV)0.63328541
Kurtosis2.579524
Mean2.2690021
Median Absolute Deviation (MAD)0.6567
Skewness1.0994768
Sum65.80106
Variance2.0647561
MonotonicityNot monotonic
2023-12-10T15:14:25.688816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.82 5
17.2%
2.27 2
 
6.9%
0.0 2
 
6.9%
2.9267 2
 
6.9%
3.1567 2
 
6.9%
2.677 1
 
3.4%
0.8624 1
 
3.4%
2.378 1
 
3.4%
1.9527 1
 
3.4%
1.18336 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
 
6.9%
0.539 1
 
3.4%
0.6925 1
 
3.4%
0.7534 1
 
3.4%
0.8624 1
 
3.4%
1.18336 1
 
3.4%
1.82 5
17.2%
1.9527 1
 
3.4%
2.27 2
 
6.9%
2.378 1
 
3.4%
ValueCountFrequency (%)
6.592 1
3.4%
5.7038 1
3.4%
3.3986 1
3.4%
3.1567 2
6.9%
2.9997 1
3.4%
2.96 1
3.4%
2.9267 2
6.9%
2.677 1
3.4%
2.4508 1
3.4%
2.446 1
3.4%

19.3002
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.050414
Minimum11.33
Maximum190.0475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:25.852342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.33
5-th percentile11.33
Q120.535
median59.0801
Q382.559
95-th percentile120.409
Maximum190.0475
Range178.7175
Interquartile range (IQR)62.024

Descriptive statistics

Standard deviation41.675474
Coefficient of variation (CV)0.68264032
Kurtosis1.769239
Mean61.050414
Median Absolute Deviation (MAD)28.7099
Skewness0.98509482
Sum1770.462
Variance1736.8451
MonotonicityNot monotonic
2023-12-10T15:14:26.103211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11.33 5
17.2%
16.911 2
 
6.9%
37.7 2
 
6.9%
75.201 2
 
6.9%
56.7744 2
 
6.9%
97.186 1
 
3.4%
50.613 1
 
3.4%
100.894 1
 
3.4%
67.1776 1
 
3.4%
59.0801 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
11.33 5
17.2%
16.911 2
 
6.9%
20.535 1
 
3.4%
37.7 2
 
6.9%
48.88 1
 
3.4%
50.613 1
 
3.4%
56.7744 2
 
6.9%
59.0801 1
 
3.4%
64.006 1
 
3.4%
67.1776 1
 
3.4%
ValueCountFrequency (%)
190.0475 1
3.4%
122.903 1
3.4%
116.668 1
3.4%
100.894 1
3.4%
97.186 1
3.4%
94.919 1
3.4%
87.79 1
3.4%
82.559 1
3.4%
75.201 2
6.9%
70.139 1
3.4%

0.16712
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5915776
Minimum0.5
Maximum10.6712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:26.286209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.688
Q11.219
median1.574
Q32.935
95-th percentile9.04408
Maximum10.6712
Range10.1712
Interquartile range (IQR)1.716

Descriptive statistics

Standard deviation2.5882414
Coefficient of variation (CV)0.99871266
Kurtosis5.4186226
Mean2.5915776
Median Absolute Deviation (MAD)0.604
Skewness2.3745509
Sum75.15575
Variance6.6989933
MonotonicityNot monotonic
2023-12-10T15:14:26.543944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.97 5
17.2%
3.055 2
 
6.9%
0.5 2
 
6.9%
10.6712 2
 
6.9%
2.1164 2
 
6.9%
1.219 1
 
3.4%
1.239 1
 
3.4%
4.5851 1
 
3.4%
1.574 1
 
3.4%
1.45925 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.5 2
 
6.9%
0.97 5
17.2%
1.219 1
 
3.4%
1.239 1
 
3.4%
1.305 1
 
3.4%
1.3699 1
 
3.4%
1.3918 1
 
3.4%
1.412 1
 
3.4%
1.45925 1
 
3.4%
1.574 1
 
3.4%
ValueCountFrequency (%)
10.6712 2
6.9%
6.6034 1
3.4%
4.5851 1
3.4%
3.597 1
3.4%
3.055 2
6.9%
2.935 1
3.4%
2.799 1
3.4%
2.2776 1
3.4%
2.1164 2
6.9%
1.936 1
3.4%

0.270333333
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.693908
Minimum0
Maximum422.69
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:26.741662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.23
median7.0571667
Q3112.58
95-th percentile320.3995
Maximum422.69
Range422.69
Interquartile range (IQR)112.35

Descriptive statistics

Standard deviation109.94404
Coefficient of variation (CV)1.53352
Kurtosis3.8843993
Mean71.693908
Median Absolute Deviation (MAD)7.0571667
Skewness2.0196259
Sum2079.1233
Variance12087.692
MonotonicityNot monotonic
2023-12-10T15:14:26.924351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 6
20.7%
132.5 2
 
6.9%
2.8 2
 
6.9%
70.5 2
 
6.9%
7.057166667 2
 
6.9%
7.433333333 1
 
3.4%
6.458333334 1
 
3.4%
360.9775 1
 
3.4%
2.149 1
 
3.4%
3.6 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 6
20.7%
0.01 1
 
3.4%
0.23 1
 
3.4%
2.149 1
 
3.4%
2.8 2
 
6.9%
3.6 1
 
3.4%
6.458333334 1
 
3.4%
7.057166667 2
 
6.9%
7.433333333 1
 
3.4%
54.48833333 1
 
3.4%
ValueCountFrequency (%)
422.69 1
3.4%
360.9775 1
3.4%
259.5325 1
3.4%
156.02 1
3.4%
132.5 2
6.9%
119.16 1
3.4%
112.58 1
3.4%
93.48 1
3.4%
70.5 2
6.9%
54.6 1
3.4%

0.2
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5137931
Minimum0
Maximum72
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:27.090628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.8
95-th percentile58.2
Maximum72
Range72
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation20.071136
Coefficient of variation (CV)2.3574846
Kurtosis5.9249556
Mean8.5137931
Median Absolute Deviation (MAD)0
Skewness2.5984593
Sum246.9
Variance402.85052
MonotonicityNot monotonic
2023-12-10T15:14:27.263142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 20
69.0%
2.8 2
 
6.9%
37.5 2
 
6.9%
72.0 2
 
6.9%
6.3 1
 
3.4%
5.0 1
 
3.4%
11.0 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
2.8 2
 
6.9%
5.0 1
 
3.4%
6.3 1
 
3.4%
11.0 1
 
3.4%
37.5 2
 
6.9%
72.0 2
 
6.9%
ValueCountFrequency (%)
72.0 2
 
6.9%
37.5 2
 
6.9%
11.0 1
 
3.4%
6.3 1
 
3.4%
5.0 1
 
3.4%
2.8 2
 
6.9%
0.0 20
69.0%

152.126
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496.58586
Minimum0
Maximum2536.29
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:27.471085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median371.1
Q3651
95-th percentile2055.011
Maximum2536.29
Range2536.29
Interquartile range (IQR)642

Descriptive statistics

Standard deviation668.42168
Coefficient of variation (CV)1.3460345
Kurtosis3.3490404
Mean496.58586
Median Absolute Deviation (MAD)326.5
Skewness1.9178822
Sum14400.99
Variance446787.55
MonotonicityNot monotonic
2023-12-10T15:14:27.660373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
17.2%
371.1 2
 
6.9%
9.0 2
 
6.9%
651.0 2
 
6.9%
484.123 2
 
6.9%
1241.72 1
 
3.4%
44.6 1
 
3.4%
407.09 1
 
3.4%
2239.495 1
 
3.4%
207.574 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 5
17.2%
0.05 1
 
3.4%
2.11 1
 
3.4%
9.0 2
 
6.9%
44.6 1
 
3.4%
45.8 1
 
3.4%
64.3 1
 
3.4%
207.574 1
 
3.4%
261.82 1
 
3.4%
371.1 2
 
6.9%
ValueCountFrequency (%)
2536.29 1
3.4%
2239.495 1
3.4%
1778.285 1
3.4%
1241.72 1
3.4%
730.15 1
3.4%
660.89 1
3.4%
651.0 2
6.9%
577.31 1
3.4%
573.06 1
3.4%
484.123 2
6.9%

5*
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
5*
29 

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 (%)
5* 29
100.0%

Length

2023-12-10T15:14:27.841065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:27.997797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 29
100.0%

0.3
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
24 
0.75
 
2
1.5
 
2
1.37
 
1

Length

Max length4
Median length3
Mean length3.1034483
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 24
82.8%
0.75 2
 
6.9%
1.5 2
 
6.9%
1.37 1
 
3.4%

Length

2023-12-10T15:14:28.159736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:28.333318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 24
82.8%
0.75 2
 
6.9%
1.5 2
 
6.9%
1.37 1
 
3.4%

0.76868
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6291307
Minimum0.185
Maximum7.4848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:28.491778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.185
5-th percentile0.55
Q10.62
median1.1498
Q32.22
95-th percentile3.19908
Maximum7.4848
Range7.2998
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.402756
Coefficient of variation (CV)0.86104569
Kurtosis10.409975
Mean1.6291307
Median Absolute Deviation (MAD)0.5298
Skewness2.7583697
Sum47.24479
Variance1.9677243
MonotonicityNot monotonic
2023-12-10T15:14:28.687263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.62 5
17.2%
2.22 2
 
6.9%
0.55 2
 
6.9%
0.9773 2
 
6.9%
2.32062 2
 
6.9%
1.841 1
 
3.4%
0.887 1
 
3.4%
2.9511 1
 
3.4%
2.6181 1
 
3.4%
0.97075 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.185 1
 
3.4%
0.55 2
 
6.9%
0.62 5
17.2%
0.887 1
 
3.4%
0.9286 1
 
3.4%
0.97075 1
 
3.4%
0.9773 2
 
6.9%
0.9935 1
 
3.4%
1.1498 1
 
3.4%
1.4121 1
 
3.4%
ValueCountFrequency (%)
7.4848 1
3.4%
3.3644 1
3.4%
2.9511 1
3.4%
2.6181 1
3.4%
2.5378 1
3.4%
2.32062 2
6.9%
2.22 2
6.9%
1.841 1
3.4%
1.647 1
3.4%
1.586 1
3.4%

11.389216
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.931619
Minimum0
Maximum425.176
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:29.208133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.436
median4.31142
Q310.22774
95-th percentile118.26534
Maximum425.176
Range425.176
Interquartile range (IQR)9.79174

Descriptive statistics

Standard deviation83.640442
Coefficient of variation (CV)2.5398217
Kurtosis18.193031
Mean32.931619
Median Absolute Deviation (MAD)4.31142
Skewness4.0232032
Sum955.01696
Variance6995.7235
MonotonicityNot monotonic
2023-12-10T15:14:29.341898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
93.27 2
 
6.9%
0.99 2
 
6.9%
4.31142 2
 
6.9%
110.132 1
 
3.4%
0.436 1
 
3.4%
3.4946 1
 
3.4%
33.72652 1
 
3.4%
1.7647 1
 
3.4%
14.426 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.436 1
 
3.4%
0.855 1
 
3.4%
0.99 2
 
6.9%
1.066 1
 
3.4%
1.7647 1
 
3.4%
3.4946 1
 
3.4%
4.31142 2
 
6.9%
5.782 1
 
3.4%
5.928 1
 
3.4%
ValueCountFrequency (%)
425.176 1
3.4%
123.68756 1
3.4%
110.132 1
3.4%
93.27 2
6.9%
33.72652 1
3.4%
14.426 1
3.4%
10.22774 1
3.4%
8.866 1
3.4%
6.232 1
3.4%
6.074 1
3.4%

9.04
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8882586
Minimum0
Maximum63.03
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:29.476042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median3.6
Q310.325
95-th percentile46.06216
Maximum63.03
Range63.03
Interquartile range (IQR)10.025

Descriptive statistics

Standard deviation15.915924
Coefficient of variation (CV)1.609578
Kurtosis6.4493765
Mean9.8882586
Median Absolute Deviation (MAD)3.6
Skewness2.5340373
Sum286.7595
Variance253.31663
MonotonicityNot monotonic
2023-12-10T15:14:29.603519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
0.56 2
 
6.9%
2.1526 2
 
6.9%
8.646 2
 
6.9%
63.03 1
 
3.4%
8.5 1
 
3.4%
1.905 1
 
3.4%
25.9654 1
 
3.4%
19.0265 1
 
3.4%
8.91 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.3 1
 
3.4%
0.56 2
 
6.9%
1.605 1
 
3.4%
1.905 1
 
3.4%
2.1526 2
 
6.9%
3.6 1
 
3.4%
4.68 1
 
3.4%
4.8953 1
 
3.4%
8.5 1
 
3.4%
ValueCountFrequency (%)
63.03 1
3.4%
59.46 1
3.4%
25.9654 1
3.4%
19.0265 1
3.4%
18.494 1
3.4%
17.93 1
3.4%
15.4161 1
3.4%
10.325 1
3.4%
8.91 1
3.4%
8.646 2
6.9%

0.006296
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.099531207
Minimum0
Maximum0.29256
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:29.766219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00144
Q10.024
median0.086
Q30.16
95-th percentile0.21822
Maximum0.29256
Range0.29256
Interquartile range (IQR)0.136

Descriptive statistics

Standard deviation0.077459342
Coefficient of variation (CV)0.77824177
Kurtosis-0.35691953
Mean0.099531207
Median Absolute Deviation (MAD)0.069
Skewness0.51585903
Sum2.886405
Variance0.0059999497
MonotonicityNot monotonic
2023-12-10T15:14:29.927209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.16 5
17.2%
0.024 2
 
6.9%
0.0 2
 
6.9%
0.16396 2
 
6.9%
0.04481 2
 
6.9%
0.144 1
 
3.4%
0.018 1
 
3.4%
0.19665 1
 
3.4%
0.08537 1
 
3.4%
0.067725 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.0036 1
3.4%
0.0075 1
3.4%
0.017 1
3.4%
0.018 1
3.4%
0.024 2
6.9%
0.04481 2
6.9%
0.0539 1
3.4%
0.067725 1
3.4%
0.07646 1
3.4%
ValueCountFrequency (%)
0.29256 1
 
3.4%
0.2326 1
 
3.4%
0.19665 1
 
3.4%
0.16396 2
 
6.9%
0.16 5
17.2%
0.1503 1
 
3.4%
0.144 1
 
3.4%
0.1 1
 
3.4%
0.0892 1
 
3.4%
0.086 1
 
3.4%

0.035132
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13848052
Minimum0.0065
Maximum0.61737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:30.102015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0065
5-th percentile0.02256
Q10.05
median0.1
Q30.14557
95-th percentile0.382188
Maximum0.61737
Range0.61087
Interquartile range (IQR)0.09557

Descriptive statistics

Standard deviation0.13526475
Coefficient of variation (CV)0.97677819
Kurtosis4.8648757
Mean0.13848052
Median Absolute Deviation (MAD)0.05
Skewness2.0838361
Sum4.015935
Variance0.018296552
MonotonicityNot monotonic
2023-12-10T15:14:30.240140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.05 5
17.2%
0.054 2
 
6.9%
0.1 2
 
6.9%
0.2153 2
 
6.9%
0.14557 2
 
6.9%
0.135 1
 
3.4%
0.0156 1
 
3.4%
0.61737 1
 
3.4%
0.15379 1
 
3.4%
0.086195 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0065 1
 
3.4%
0.0156 1
 
3.4%
0.033 1
 
3.4%
0.05 5
17.2%
0.0512 1
 
3.4%
0.054 2
 
6.9%
0.0612 1
 
3.4%
0.086195 1
 
3.4%
0.0914 1
 
3.4%
0.1 2
 
6.9%
ValueCountFrequency (%)
0.61737 1
3.4%
0.403 1
3.4%
0.35097 1
3.4%
0.3306 1
3.4%
0.2153 2
6.9%
0.15379 1
3.4%
0.14557 2
6.9%
0.14297 1
3.4%
0.135 1
3.4%
0.131 1
3.4%

0.183464
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4878466
Minimum0.112
Maximum3.6733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:30.399483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.112
5-th percentile0.20712
Q10.6595
median0.934
Q32.6735
95-th percentile2.825832
Maximum3.6733
Range3.5613
Interquartile range (IQR)2.014

Descriptive statistics

Standard deviation1.0854992
Coefficient of variation (CV)0.7295774
Kurtosis-1.3960239
Mean1.4878466
Median Absolute Deviation (MAD)0.601
Skewness0.41793309
Sum43.14755
Variance1.1783085
MonotonicityNot monotonic
2023-12-10T15:14:30.587543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.79 5
17.2%
1.3 2
 
6.9%
0.35 2
 
6.9%
2.5023 2
 
6.9%
0.84578 2
 
6.9%
0.713 1
 
3.4%
0.216 1
 
3.4%
2.33042 1
 
3.4%
0.71671 1
 
3.4%
0.52918 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.112 1
3.4%
0.2012 1
3.4%
0.216 1
3.4%
0.35 2
6.9%
0.52918 1
3.4%
0.582 1
3.4%
0.6595 1
3.4%
0.68896 1
3.4%
0.713 1
3.4%
0.71671 1
3.4%
ValueCountFrequency (%)
3.6733 1
 
3.4%
2.84972 1
 
3.4%
2.79 5
17.2%
2.6735 1
 
3.4%
2.5023 2
 
6.9%
2.33042 1
 
3.4%
1.535 1
 
3.4%
1.3 2
 
6.9%
0.934 1
 
3.4%
0.84578 2
 
6.9%

0.00346
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.099125172
Minimum0.00854
Maximum0.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:30.759075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00854
5-th percentile0.01276
Q10.0486
median0.06038
Q30.1309
95-th percentile0.25
Maximum0.25
Range0.24146
Interquartile range (IQR)0.0823

Descriptive statistics

Standard deviation0.079972502
Coefficient of variation (CV)0.80678298
Kurtosis-0.18611761
Mean0.099125172
Median Absolute Deviation (MAD)0.04562
Skewness0.97704489
Sum2.87463
Variance0.0063956011
MonotonicityNot monotonic
2023-12-10T15:14:30.916075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.25 5
17.2%
0.054 2
 
6.9%
0.05 2
 
6.9%
0.06038 2
 
6.9%
0.01854 2
 
6.9%
0.099 1
 
3.4%
0.0139 1
 
3.4%
0.1394 1
 
3.4%
0.1142 1
 
3.4%
0.00854 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.00854 1
3.4%
0.012 1
3.4%
0.0139 1
3.4%
0.01854 2
6.9%
0.0339 1
3.4%
0.0392 1
3.4%
0.0486 1
3.4%
0.05 2
6.9%
0.054 2
6.9%
0.056 1
3.4%
ValueCountFrequency (%)
0.25 5
17.2%
0.1394 1
 
3.4%
0.13705 1
 
3.4%
0.1309 1
 
3.4%
0.119 1
 
3.4%
0.1142 1
 
3.4%
0.113 1
 
3.4%
0.106 1
 
3.4%
0.099 1
 
3.4%
0.0881 1
 
3.4%

6.3646
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.034338
Minimum9.1804
Maximum268.025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:31.182164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.1804
5-th percentile12.5006
Q121.759
median26.317
Q368.169
95-th percentile116.5654
Maximum268.025
Range258.8446
Interquartile range (IQR)46.41

Descriptive statistics

Standard deviation51.976546
Coefficient of variation (CV)1.060003
Kurtosis11.016946
Mean49.034338
Median Absolute Deviation (MAD)12.043
Skewness2.9679371
Sum1421.9958
Variance2701.5613
MonotonicityNot monotonic
2023-12-10T15:14:31.376307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
22.01 5
17.2%
21.276 2
 
6.9%
56.65 2
 
6.9%
78.617 2
 
6.9%
31.0302 2
 
6.9%
131.609 1
 
3.4%
24.319 1
 
3.4%
26.317 1
 
3.4%
68.875 1
 
3.4%
9.1804 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
9.1804 1
 
3.4%
11.749 1
 
3.4%
13.628 1
 
3.4%
14.274 1
 
3.4%
20.126 1
 
3.4%
21.276 2
 
6.9%
21.759 1
 
3.4%
22.01 5
17.2%
24.319 1
 
3.4%
26.317 1
 
3.4%
ValueCountFrequency (%)
268.025 1
3.4%
131.609 1
3.4%
94.0 1
3.4%
91.318 1
3.4%
78.617 2
6.9%
68.875 1
3.4%
68.169 1
3.4%
56.65 2
6.9%
45.135 1
3.4%
31.0302 2
6.9%

0.4
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96441379
Minimum0
Maximum6.195
Zeros18
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:31.540715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.55
95-th percentile5.925
Maximum6.195
Range6.195
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation1.9559608
Coefficient of variation (CV)2.0281345
Kurtosis2.9143622
Mean0.96441379
Median Absolute Deviation (MAD)0
Skewness2.0744328
Sum27.968
Variance3.8257828
MonotonicityNot monotonic
2023-12-10T15:14:31.692063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 18
62.1%
0.48 2
 
6.9%
5.925 2
 
6.9%
0.55 2
 
6.9%
2.8 1
 
3.4%
6.195 1
 
3.4%
0.663 1
 
3.4%
0.4 1
 
3.4%
4.0 1
 
3.4%
ValueCountFrequency (%)
0.0 18
62.1%
0.4 1
 
3.4%
0.48 2
 
6.9%
0.55 2
 
6.9%
0.663 1
 
3.4%
2.8 1
 
3.4%
4.0 1
 
3.4%
5.925 2
 
6.9%
6.195 1
 
3.4%
ValueCountFrequency (%)
6.195 1
 
3.4%
5.925 2
 
6.9%
4.0 1
 
3.4%
2.8 1
 
3.4%
0.663 1
 
3.4%
0.55 2
 
6.9%
0.48 2
 
6.9%
0.4 1
 
3.4%
0.0 18
62.1%

위암
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위암 29
100.0%

Length

2023-12-10T15:14:31.891425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:32.041813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위암 29
100.0%

0.004674
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35684041
Minimum0.026
Maximum1.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:32.200907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.026
5-th percentile0.0450472
Q10.1
median0.21119
Q30.6
95-th percentile0.98653
Maximum1.16
Range1.134
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.32924815
Coefficient of variation (CV)0.92267618
Kurtosis-0.14973758
Mean0.35684041
Median Absolute Deviation (MAD)0.13116
Skewness0.97564661
Sum10.348372
Variance0.10840434
MonotonicityNot monotonic
2023-12-10T15:14:32.397837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.6 5
17.2%
0.1 2
 
6.9%
0.7 2
 
6.9%
0.98653 2
 
6.9%
0.095657 2
 
6.9%
0.228 1
 
3.4%
0.08003 1
 
3.4%
0.041 1
 
3.4%
0.15551 1
 
3.4%
0.051118 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.026 1
3.4%
0.041 1
3.4%
0.051118 1
3.4%
0.08003 1
3.4%
0.095657 2
6.9%
0.0987 1
3.4%
0.1 2
6.9%
0.118 1
3.4%
0.1214 1
3.4%
0.134 1
3.4%
ValueCountFrequency (%)
1.16 1
 
3.4%
0.98653 2
 
6.9%
0.7 2
 
6.9%
0.6 5
17.2%
0.54505 1
 
3.4%
0.2479 1
 
3.4%
0.228 1
 
3.4%
0.2255 1
 
3.4%
0.21119 1
 
3.4%
0.15551 1
 
3.4%

0.60176
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5686
Minimum0
Maximum10.7
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:32.670698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7522
Q34.5132
95-th percentile9.07
Maximum10.7
Range10.7
Interquartile range (IQR)4.5132

Descriptive statistics

Standard deviation3.2086377
Coefficient of variation (CV)1.2491776
Kurtosis0.85410611
Mean2.5686
Median Absolute Deviation (MAD)0.7522
Skewness1.2325054
Sum74.4894
Variance10.295356
MonotonicityNot monotonic
2023-12-10T15:14:32.884108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 10
34.5%
4.5132 2
 
6.9%
10.7 2
 
6.9%
6.625 2
 
6.9%
3.761 1
 
3.4%
0.7522 1
 
3.4%
1.8805 1
 
3.4%
1.12 1
 
3.4%
6.148 1
 
3.4%
3.982 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 10
34.5%
0.06 1
 
3.4%
0.32 1
 
3.4%
0.3605 1
 
3.4%
0.5 1
 
3.4%
0.7522 1
 
3.4%
1.12 1
 
3.4%
1.8805 1
 
3.4%
3.4852 1
 
3.4%
3.6436 1
 
3.4%
ValueCountFrequency (%)
10.7 2
6.9%
6.625 2
6.9%
6.148 1
3.4%
4.8 1
3.4%
4.5132 2
6.9%
3.982 1
3.4%
3.761 1
3.4%
3.6436 1
3.4%
3.4852 1
3.4%
1.8805 1
3.4%

3.882
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.428759
Minimum4.54
Maximum786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:33.070092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.54
5-th percentile5.9
Q118
median37.077
Q354.65
95-th percentile278.56
Maximum786
Range781.46
Interquartile range (IQR)36.65

Descriptive statistics

Standard deviation152.40078
Coefficient of variation (CV)1.9431747
Kurtosis17.501635
Mean78.428759
Median Absolute Deviation (MAD)19.077
Skewness3.9713183
Sum2274.434
Variance23225.996
MonotonicityNot monotonic
2023-12-10T15:14:33.277972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5.9 5
17.2%
71.1 2
 
6.9%
18.0 2
 
6.9%
278.56 2
 
6.9%
22.821 2
 
6.9%
66.74 1
 
3.4%
15.75 1
 
3.4%
54.65 1
 
3.4%
40.03 1
 
3.4%
39.458 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
4.54 1
 
3.4%
5.9 5
17.2%
15.75 1
 
3.4%
18.0 2
 
6.9%
21.495 1
 
3.4%
22.821 2
 
6.9%
29.91 1
 
3.4%
33.924 1
 
3.4%
37.077 1
 
3.4%
38.458 1
 
3.4%
ValueCountFrequency (%)
786.0 1
3.4%
278.56 2
6.9%
138.92 1
3.4%
71.1 2
6.9%
66.74 1
3.4%
54.65 1
3.4%
52.58 1
3.4%
52.52 1
3.4%
51.92 1
3.4%
40.03 1
3.4%

0.25
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.96569
Minimum0
Maximum152.71
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:33.492244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.544
Q14.385
median4.543
Q321.897
95-th percentile50.724
Maximum152.71
Range152.71
Interquartile range (IQR)17.512

Descriptive statistics

Standard deviation29.875046
Coefficient of variation (CV)1.5752154
Kurtosis14.619082
Mean18.96569
Median Absolute Deviation (MAD)4.543
Skewness3.4750779
Sum550.005
Variance892.51839
MonotonicityNot monotonic
2023-12-10T15:14:33.676747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4.4 5
17.2%
1.36 2
 
6.9%
0.0 2
 
6.9%
4.385 2
 
6.9%
16.747 2
 
6.9%
52.72 1
 
3.4%
15.75 1
 
3.4%
4.52 1
 
3.4%
38.82 1
 
3.4%
3.917 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
 
6.9%
1.36 2
 
6.9%
2.12 1
 
3.4%
3.917 1
 
3.4%
4.385 2
 
6.9%
4.4 5
17.2%
4.52 1
 
3.4%
4.543 1
 
3.4%
8.895 1
 
3.4%
10.924 1
 
3.4%
ValueCountFrequency (%)
152.71 1
3.4%
52.72 1
3.4%
47.73 1
3.4%
41.02 1
3.4%
38.82 1
3.4%
34.858 1
3.4%
26.047 1
3.4%
21.897 1
3.4%
16.747 2
6.9%
16.55 1
3.4%

0.5
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.024483
Minimum0
Maximum620.05
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:33.852668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.957
Q318
95-th percentile248.875
Maximum620.05
Range620.05
Interquartile range (IQR)18

Descriptive statistics

Standard deviation128.65834
Coefficient of variation (CV)2.6790156
Kurtosis14.496974
Mean48.024483
Median Absolute Deviation (MAD)0.957
Skewness3.6353087
Sum1392.71
Variance16552.968
MonotonicityNot monotonic
2023-12-10T15:14:34.014733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 13
44.8%
1.334 2
 
6.9%
3.2 2
 
6.9%
248.875 2
 
6.9%
18.0 2
 
6.9%
33.6 1
 
3.4%
135.3 1
 
3.4%
620.05 1
 
3.4%
15.0 1
 
3.4%
0.29 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 13
44.8%
0.29 1
 
3.4%
0.957 1
 
3.4%
1.334 2
 
6.9%
3.2 2
 
6.9%
3.695 1
 
3.4%
15.0 1
 
3.4%
18.0 2
 
6.9%
33.6 1
 
3.4%
41.0 1
 
3.4%
ValueCountFrequency (%)
620.05 1
3.4%
248.875 2
6.9%
135.3 1
3.4%
41.0 1
3.4%
33.6 1
3.4%
18.0 2
6.9%
15.0 1
3.4%
3.695 1
3.4%
3.2 2
6.9%
1.334 2
6.9%

11.126
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.35562
Minimum14.31
Maximum333.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:34.164813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.31
5-th percentile32.097
Q147.205
median79
Q3204.4
95-th percentile318.73
Maximum333.61
Range319.3
Interquartile range (IQR)157.195

Descriptive statistics

Standard deviation97.735404
Coefficient of variation (CV)0.77966511
Kurtosis-0.45561062
Mean125.35562
Median Absolute Deviation (MAD)45.69
Skewness0.86252525
Sum3635.313
Variance9552.2091
MonotonicityNot monotonic
2023-12-10T15:14:34.324524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
204.4 5
17.2%
59.28 2
 
6.9%
79.0 2
 
6.9%
333.61 2
 
6.9%
35.672 2
 
6.9%
95.56 1
 
3.4%
14.31 1
 
3.4%
271.57 1
 
3.4%
31.295 1
 
3.4%
39.282 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
14.31 1
3.4%
31.295 1
3.4%
33.3 1
3.4%
33.31 1
3.4%
35.672 2
6.9%
39.282 1
3.4%
47.205 1
3.4%
59.28 2
6.9%
62.62 1
3.4%
65.58 1
3.4%
ValueCountFrequency (%)
333.61 2
 
6.9%
296.41 1
 
3.4%
271.57 1
 
3.4%
204.4 5
17.2%
179.73 1
 
3.4%
159.81 1
 
3.4%
122.737 1
 
3.4%
95.56 1
 
3.4%
79.0 2
 
6.9%
73.57 1
 
3.4%

0.39
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.35838
Minimum65.1
Maximum3048.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:34.472486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.1
5-th percentile65.1
Q175.69
median338.2
Q3739.04
95-th percentile2295.26
Maximum3048.32
Range2983.22
Interquartile range (IQR)663.35

Descriptive statistics

Standard deviation768.9739
Coefficient of variation (CV)1.2981565
Kurtosis5.9927916
Mean592.35838
Median Absolute Deviation (MAD)267.7
Skewness2.4234601
Sum17178.393
Variance591320.85
MonotonicityNot monotonic
2023-12-10T15:14:34.606996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
65.1 5
17.2%
1003.47 2
 
6.9%
70.5 2
 
6.9%
3048.32 2
 
6.9%
463.762 2
 
6.9%
75.69 1
 
3.4%
342.56 1
 
3.4%
1165.67 1
 
3.4%
193.464 1
 
3.4%
300.245 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
65.1 5
17.2%
70.5 2
 
6.9%
75.69 1
 
3.4%
176.39 1
 
3.4%
193.464 1
 
3.4%
201.79 1
 
3.4%
245.42 1
 
3.4%
245.44 1
 
3.4%
300.245 1
 
3.4%
338.2 1
 
3.4%
ValueCountFrequency (%)
3048.32 2
6.9%
1165.67 1
3.4%
1126.81 1
3.4%
1098.85 1
3.4%
1003.47 2
6.9%
739.04 1
3.4%
656.12 1
3.4%
463.762 2
6.9%
424.27 1
3.4%
350.83 1
3.4%

0.12
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.236276
Minimum0
Maximum69.239
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:34.762077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median3.03
Q313.937
95-th percentile60.9114
Maximum69.239
Range69.239
Interquartile range (IQR)13.637

Descriptive statistics

Standard deviation19.698859
Coefficient of variation (CV)1.6098738
Kurtosis3.6309776
Mean12.236276
Median Absolute Deviation (MAD)3.03
Skewness2.0960995
Sum354.852
Variance388.04506
MonotonicityNot monotonic
2023-12-10T15:14:34.943162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 7
24.1%
13.937 2
 
6.9%
69.239 2
 
6.9%
6.35 2
 
6.9%
1.21 2
 
6.9%
6.65 2
 
6.9%
1.81 1
 
3.4%
3.03 1
 
3.4%
8.2 1
 
3.4%
0.3 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 7
24.1%
0.3 1
 
3.4%
0.9 1
 
3.4%
1.2 1
 
3.4%
1.21 2
 
6.9%
1.81 1
 
3.4%
2.08 1
 
3.4%
3.03 1
 
3.4%
6.35 2
 
6.9%
6.65 2
 
6.9%
ValueCountFrequency (%)
69.239 2
6.9%
48.42 1
3.4%
40.5 1
3.4%
22.24 1
3.4%
15.85 1
3.4%
15.55 1
3.4%
13.937 2
6.9%
8.2 1
3.4%
6.65 2
6.9%
6.35 2
6.9%

80.596
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.77655
Minimum74.5
Maximum584.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:35.144783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.5
5-th percentile93.748
Q1233.7
median263.17
Q3375.37
95-th percentile541.06
Maximum584.81
Range510.31
Interquartile range (IQR)141.67

Descriptive statistics

Standard deviation137.21302
Coefficient of variation (CV)0.47026747
Kurtosis-0.27335676
Mean291.77655
Median Absolute Deviation (MAD)96.8
Skewness0.44084764
Sum8461.52
Variance18827.413
MonotonicityNot monotonic
2023-12-10T15:14:35.317373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
233.7 5
17.2%
122.75 2
 
6.9%
74.5 2
 
6.9%
443.67 2
 
6.9%
292.307 2
 
6.9%
375.37 1
 
3.4%
122.62 1
 
3.4%
485.17 1
 
3.4%
349.395 1
 
3.4%
239.126 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
74.5 2
 
6.9%
122.62 1
 
3.4%
122.75 2
 
6.9%
155.65 1
 
3.4%
226.42 1
 
3.4%
233.7 5
17.2%
239.126 1
 
3.4%
246.22 1
 
3.4%
263.17 1
 
3.4%
289.99 1
 
3.4%
ValueCountFrequency (%)
584.81 1
3.4%
578.32 1
3.4%
485.17 1
3.4%
443.67 2
6.9%
437.91 1
3.4%
408.76 1
3.4%
375.37 1
3.4%
359.97 1
3.4%
349.395 1
3.4%
303.665 1
3.4%

5.186
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.935586
Minimum0
Maximum79.33
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:35.518576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.99
median6.92
Q324.12
95-th percentile54.56
Maximum79.33
Range79.33
Interquartile range (IQR)20.13

Descriptive statistics

Standard deviation21.006308
Coefficient of variation (CV)1.240365
Kurtosis1.5594673
Mean16.935586
Median Absolute Deviation (MAD)6.92
Skewness1.5192608
Sum491.132
Variance441.26499
MonotonicityNot monotonic
2023-12-10T15:14:35.693500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
17.2%
54.56 2
 
6.9%
5.0 2
 
6.9%
45.4225 2
 
6.9%
9.979 2
 
6.9%
42.43 1
 
3.4%
0.94 1
 
3.4%
24.12 1
 
3.4%
4.45 1
 
3.4%
4.809 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 5
17.2%
0.94 1
 
3.4%
3.6 1
 
3.4%
3.99 1
 
3.4%
4.15 1
 
3.4%
4.45 1
 
3.4%
4.809 1
 
3.4%
5.0 2
 
6.9%
5.38 1
 
3.4%
6.92 1
 
3.4%
ValueCountFrequency (%)
79.33 1
3.4%
54.56 2
6.9%
45.4225 2
6.9%
42.43 1
3.4%
25.5 1
3.4%
24.12 1
3.4%
20.09 1
3.4%
15.99 1
3.4%
10.74 1
3.4%
9.979 2
6.9%

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

2023-12-10T15:14:35.890931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:36.022718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

0.15992
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.472769
Minimum0.283
Maximum5.8949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:36.153079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.283
5-th percentile0.43148
Q10.61
median1.059
Q31.8024
95-th percentile3.3393
Maximum5.8949
Range5.6119
Interquartile range (IQR)1.1924

Descriptive statistics

Standard deviation1.2292095
Coefficient of variation (CV)0.83462478
Kurtosis4.9218073
Mean1.472769
Median Absolute Deviation (MAD)0.449
Skewness2.0300188
Sum42.7103
Variance1.5109559
MonotonicityNot monotonic
2023-12-10T15:14:36.309559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.61 5
17.2%
1.424 2
 
6.9%
0.9 2
 
6.9%
3.3393 2
 
6.9%
0.7753 2
 
6.9%
3.218 1
 
3.4%
0.395 1
 
3.4%
1.101 1
 
3.4%
1.5771 1
 
3.4%
0.4862 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.283 1
 
3.4%
0.395 1
 
3.4%
0.4862 1
 
3.4%
0.61 5
17.2%
0.6858 1
 
3.4%
0.7753 2
 
6.9%
0.9 2
 
6.9%
1.013 1
 
3.4%
1.059 1
 
3.4%
1.101 1
 
3.4%
ValueCountFrequency (%)
5.8949 1
3.4%
3.3393 2
6.9%
3.218 1
3.4%
2.5537 1
3.4%
2.486 1
3.4%
1.9025 1
3.4%
1.8024 1
3.4%
1.5771 1
3.4%
1.424 2
6.9%
1.1695 1
3.4%

0.0208
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72802414
Minimum0
Maximum2.832
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:36.481945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0232
Q10.121
median0.48
Q31.0802
95-th percentile2.42422
Maximum2.832
Range2.832
Interquartile range (IQR)0.9592

Descriptive statistics

Standard deviation0.81850457
Coefficient of variation (CV)1.1242822
Kurtosis0.78628284
Mean0.72802414
Median Absolute Deviation (MAD)0.384
Skewness1.3578891
Sum21.1127
Variance0.66994973
MonotonicityNot monotonic
2023-12-10T15:14:36.639421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.48 5
17.2%
0.058 2
 
6.9%
0.0 2
 
6.9%
0.05905 2
 
6.9%
0.4267 2
 
6.9%
2.832 1
 
3.4%
0.395 1
 
3.4%
0.121 1
 
3.4%
1.5244 1
 
3.4%
0.0966 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.058 2
6.9%
0.05905 2
6.9%
0.0966 1
3.4%
0.121 1
3.4%
0.138 1
3.4%
0.143 1
3.4%
0.2858 1
3.4%
0.395 1
3.4%
0.4267 2
6.9%
ValueCountFrequency (%)
2.832 1
3.4%
2.5137 1
3.4%
2.29 1
3.4%
2.0615 1
3.4%
1.618 1
3.4%
1.5244 1
3.4%
1.1695 1
3.4%
1.0802 1
3.4%
0.864 1
3.4%
0.4925 1
3.4%

0.6
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50231034
Minimum0
Maximum3.062
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:36.807293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.028
Q30.9
95-th percentile2.375
Maximum3.062
Range3.062
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.84067903
Coefficient of variation (CV)1.6736248
Kurtosis2.8028156
Mean0.50231034
Median Absolute Deviation (MAD)0.028
Skewness1.8617927
Sum14.567
Variance0.70674123
MonotonicityNot monotonic
2023-12-10T15:14:36.968373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 13
44.8%
0.0552 2
 
6.9%
1.0 2
 
6.9%
2.375 2
 
6.9%
0.9 2
 
6.9%
0.14 1
 
3.4%
0.825 1
 
3.4%
3.062 1
 
3.4%
1.4 1
 
3.4%
0.012 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 13
44.8%
0.012 1
 
3.4%
0.028 1
 
3.4%
0.0396 1
 
3.4%
0.0552 2
 
6.9%
0.14 1
 
3.4%
0.4 1
 
3.4%
0.825 1
 
3.4%
0.9 2
 
6.9%
1.0 2
 
6.9%
ValueCountFrequency (%)
3.062 1
3.4%
2.375 2
6.9%
1.4 1
3.4%
1.0 2
6.9%
0.9 2
6.9%
0.825 1
3.4%
0.4 1
3.4%
0.14 1
3.4%
0.0552 2
6.9%
0.0396 1
3.4%

0.0848
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85877655
Minimum0.16492
Maximum2.8913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:37.167547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.16492
5-th percentile0.17556
Q10.4159
median0.6621
Q31.47
95-th percentile1.7324
Maximum2.8913
Range2.72638
Interquartile range (IQR)1.0541

Descriptive statistics

Standard deviation0.64020227
Coefficient of variation (CV)0.74548177
Kurtosis1.9615011
Mean0.85877655
Median Absolute Deviation (MAD)0.3654
Skewness1.3190699
Sum24.90452
Variance0.40985894
MonotonicityNot monotonic
2023-12-10T15:14:37.347974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.47 5
17.2%
0.674 2
 
6.9%
0.65 2
 
6.9%
1.7324 2
 
6.9%
0.4159 2
 
6.9%
0.671 1
 
3.4%
0.1726 1
 
3.4%
0.6621 1
 
3.4%
0.2967 1
 
3.4%
0.16492 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.16492 1
3.4%
0.1726 1
3.4%
0.18 1
3.4%
0.283 1
3.4%
0.2967 1
3.4%
0.3235 1
3.4%
0.3756 1
3.4%
0.4159 2
6.9%
0.4425 1
3.4%
0.4514 1
3.4%
ValueCountFrequency (%)
2.8913 1
 
3.4%
1.7324 2
 
6.9%
1.47 5
17.2%
1.3676 1
 
3.4%
1.0647 1
 
3.4%
0.679 1
 
3.4%
0.674 2
 
6.9%
0.671 1
 
3.4%
0.6621 1
 
3.4%
0.65 2
 
6.9%

0.021832
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.098416724
Minimum0.0033
Maximum0.47659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:37.951935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0033
5-th percentile0.014762
Q10.0438
median0.094
Q30.12
95-th percentile0.18605
Maximum0.47659
Range0.47329
Interquartile range (IQR)0.0762

Descriptive statistics

Standard deviation0.09007407
Coefficient of variation (CV)0.91523134
Kurtosis10.705197
Mean0.098416724
Median Absolute Deviation (MAD)0.0493
Skewness2.7336309
Sum2.854085
Variance0.0081133381
MonotonicityNot monotonic
2023-12-10T15:14:38.157560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.12 5
17.2%
0.03 2
 
6.9%
0.05 2
 
6.9%
0.18605 2
 
6.9%
0.0438 2
 
6.9%
0.146 1
 
3.4%
0.0033 1
 
3.4%
0.04708 1
 
3.4%
0.11199 1
 
3.4%
0.024905 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0033 1
3.4%
0.008 1
3.4%
0.024905 1
3.4%
0.03 2
6.9%
0.0315 1
3.4%
0.0401 1
3.4%
0.0438 2
6.9%
0.04708 1
3.4%
0.049 1
3.4%
0.05 2
6.9%
ValueCountFrequency (%)
0.47659 1
 
3.4%
0.18605 2
 
6.9%
0.17 1
 
3.4%
0.146 1
 
3.4%
0.1433 1
 
3.4%
0.12 5
17.2%
0.114 1
 
3.4%
0.11199 1
 
3.4%
0.107 1
 
3.4%
0.094 1
 
3.4%

0.7
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
23 
0.475
 
2
2.5
 
2
3.5
 
1
7.02
 
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 row0.0

Common Values

ValueCountFrequency (%)
0.0 23
79.3%
0.475 2
 
6.9%
2.5 2
 
6.9%
3.5 1
 
3.4%
7.02 1
 
3.4%

Length

2023-12-10T15:14:38.381912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:38.564933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
79.3%
0.475 2
 
6.9%
2.5 2
 
6.9%
3.5 1
 
3.4%
7.02 1
 
3.4%

0.044974
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41574834
Minimum0
Maximum0.98872
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:38.724205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0168
Q10.23533
median0.335827
Q30.71
95-th percentile0.965598
Maximum0.98872
Range0.98872
Interquartile range (IQR)0.47467

Descriptive statistics

Standard deviation0.30050063
Coefficient of variation (CV)0.72279452
Kurtosis-0.84365304
Mean0.41574834
Median Absolute Deviation (MAD)0.229163
Skewness0.42808357
Sum12.056702
Variance0.090300626
MonotonicityNot monotonic
2023-12-10T15:14:38.900185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.71 5
17.2%
0.042 2
 
6.9%
0.0 2
 
6.9%
0.98872 2
 
6.9%
0.335827 2
 
6.9%
0.286 1
 
3.4%
0.23533 1
 
3.4%
0.30006 1
 
3.4%
0.337259 1
 
3.4%
0.106664 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.042 2
6.9%
0.0831 1
3.4%
0.106664 1
3.4%
0.1173 1
3.4%
0.23533 1
3.4%
0.2506 1
3.4%
0.2545 1
3.4%
0.286 1
3.4%
0.28748 1
3.4%
ValueCountFrequency (%)
0.98872 2
 
6.9%
0.930915 1
 
3.4%
0.71 5
17.2%
0.702 1
 
3.4%
0.531 1
 
3.4%
0.4944 1
 
3.4%
0.431 1
 
3.4%
0.426 1
 
3.4%
0.337259 1
 
3.4%
0.335827 2
 
6.9%

0.23336
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.94006
Minimum0
Maximum1751.88
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:39.105866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1436
Q31.25
95-th percentile1325.3804
Maximum1751.88
Range1751.88
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation461.74227
Coefficient of variation (CV)3.1001887
Kurtosis9.5982179
Mean148.94006
Median Absolute Deviation (MAD)0.1436
Skewness3.2390262
Sum4319.2616
Variance213205.92
MonotonicityNot monotonic
2023-12-10T15:14:39.366293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 10
34.5%
1751.88 2
 
6.9%
39.99 2
 
6.9%
0.6252 2
 
6.9%
0.035 1
 
3.4%
0.521 1
 
3.4%
0.1436 1
 
3.4%
0.5338 1
 
3.4%
0.35 1
 
3.4%
1.25 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 10
34.5%
0.01 1
 
3.4%
0.035 1
 
3.4%
0.04 1
 
3.4%
0.1 1
 
3.4%
0.1436 1
 
3.4%
0.35 1
 
3.4%
0.3717 1
 
3.4%
0.521 1
 
3.4%
0.5338 1
 
3.4%
ValueCountFrequency (%)
1751.88 2
6.9%
685.6311 1
3.4%
39.99 2
6.9%
39.86 1
3.4%
5.425 1
3.4%
1.25 1
3.4%
0.6252 2
6.9%
0.5338 1
3.4%
0.521 1
3.4%
0.3717 1
3.4%

0.18136
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.658153
Minimum0.31975
Maximum115.016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:39.555886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.31975
5-th percentile0.3913
Q10.7819
median13.016
Q316.91
95-th percentile85.32228
Maximum115.016
Range114.69625
Interquartile range (IQR)16.1281

Descriptive statistics

Standard deviation28.766078
Coefficient of variation (CV)1.6290535
Kurtosis8.3458919
Mean17.658153
Median Absolute Deviation (MAD)11.659
Skewness2.9016174
Sum512.08645
Variance827.48722
MonotonicityNot monotonic
2023-12-10T15:14:39.757747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
16.91 5
17.2%
9.389 2
 
6.9%
15.4 2
 
6.9%
115.016 2
 
6.9%
0.7175 2
 
6.9%
3.059 1
 
3.4%
0.511 1
 
3.4%
40.7817 1
 
3.4%
0.7819 1
 
3.4%
0.31975 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.31975 1
3.4%
0.3855 1
3.4%
0.4 1
3.4%
0.4903 1
3.4%
0.511 1
3.4%
0.7175 2
6.9%
0.7819 1
3.4%
0.978 1
3.4%
0.9851 1
3.4%
1.357 1
3.4%
ValueCountFrequency (%)
115.016 2
 
6.9%
40.7817 1
 
3.4%
25.8209 1
 
3.4%
23.2745 1
 
3.4%
20.937 1
 
3.4%
16.91 5
17.2%
15.4 2
 
6.9%
13.3938 1
 
3.4%
13.016 1
 
3.4%
9.389 2
 
6.9%

0.8
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.33319
Minimum0
Maximum215
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:39.954790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.0325
Q365.66
95-th percentile197.4
Maximum215
Range215
Interquartile range (IQR)65.66

Descriptive statistics

Standard deviation69.40709
Coefficient of variation (CV)1.7208431
Kurtosis1.4503334
Mean40.33319
Median Absolute Deviation (MAD)2.0325
Skewness1.6562267
Sum1169.6625
Variance4817.3441
MonotonicityNot monotonic
2023-12-10T15:14:40.120260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 13
44.8%
6.164 2
 
6.9%
10.2 2
 
6.9%
171.0 2
 
6.9%
215.0 2
 
6.9%
65.66 1
 
3.4%
83.55 1
 
3.4%
10.93 1
 
3.4%
100.0 1
 
3.4%
1.34 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 13
44.8%
1.34 1
 
3.4%
2.0325 1
 
3.4%
4.422 1
 
3.4%
6.164 2
 
6.9%
10.2 2
 
6.9%
10.93 1
 
3.4%
65.66 1
 
3.4%
83.55 1
 
3.4%
97.0 1
 
3.4%
ValueCountFrequency (%)
215.0 2
6.9%
171.0 2
6.9%
100.0 1
3.4%
97.0 1
3.4%
83.55 1
3.4%
65.66 1
3.4%
10.93 1
3.4%
10.2 2
6.9%
6.164 2
6.9%
4.422 1
3.4%

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

2023-12-10T15:14:40.310342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:40.452056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

0.84896
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165272
Minimum0
Maximum11.3764
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:40.578063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.21893
median1.01025
Q33.335
95-th percentile4.966
Maximum11.3764
Range11.3764
Interquartile range (IQR)3.11607

Descriptive statistics

Standard deviation2.4467769
Coefficient of variation (CV)1.2133617
Kurtosis6.5715217
Mean2.0165272
Median Absolute Deviation (MAD)1.01025
Skewness2.1495488
Sum58.47929
Variance5.9867172
MonotonicityNot monotonic
2023-12-10T15:14:40.779287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
17.2%
4.966 2
 
6.9%
4.15 2
 
6.9%
3.5213 2
 
6.9%
0.48388 2
 
6.9%
3.335 1
 
3.4%
1.8788 1
 
3.4%
0.4081 1
 
3.4%
1.26245 1
 
3.4%
0.21893 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 5
17.2%
0.011 1
 
3.4%
0.142 1
 
3.4%
0.21893 1
 
3.4%
0.36 1
 
3.4%
0.4081 1
 
3.4%
0.48388 2
 
6.9%
0.944 1
 
3.4%
0.954 1
 
3.4%
1.01025 1
 
3.4%
ValueCountFrequency (%)
11.3764 1
3.4%
4.966 2
6.9%
4.15 2
6.9%
3.5213 2
6.9%
3.335 1
3.4%
3.194 1
3.4%
2.834 1
3.4%
2.429 1
3.4%
1.879 1
3.4%
1.8788 1
3.4%

0.13352
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40782103
Minimum0
Maximum1.47385
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:40.957181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04332
median0.16155
Q30.4668
95-th percentile1.45
Maximum1.47385
Range1.47385
Interquartile range (IQR)0.42348

Descriptive statistics

Standard deviation0.50603944
Coefficient of variation (CV)1.240837
Kurtosis0.2047474
Mean0.40782103
Median Absolute Deviation (MAD)0.16155
Skewness1.2743916
Sum11.82681
Variance0.25607591
MonotonicityNot monotonic
2023-12-10T15:14:41.125299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
17.2%
0.758 2
 
6.9%
1.45 2
 
6.9%
1.3088 2
 
6.9%
0.08932 2
 
6.9%
0.459 1
 
3.4%
0.2847 1
 
3.4%
0.0759 1
 
3.4%
0.19415 1
 
3.4%
0.04332 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 5
17.2%
0.001 1
 
3.4%
0.0247 1
 
3.4%
0.04332 1
 
3.4%
0.0546 1
 
3.4%
0.0759 1
 
3.4%
0.08932 2
 
6.9%
0.143 1
 
3.4%
0.157 1
 
3.4%
0.16155 1
 
3.4%
ValueCountFrequency (%)
1.47385 1
3.4%
1.45 2
6.9%
1.3088 2
6.9%
0.758 2
6.9%
0.4668 1
3.4%
0.459 1
3.4%
0.426 1
3.4%
0.365 1
3.4%
0.2847 1
3.4%
0.284 1
3.4%

0.30538
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68877207
Minimum0
Maximum1.91325
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:41.292671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0466
median0.4739
Q31.2525
95-th percentile1.9
Maximum1.91325
Range1.91325
Interquartile range (IQR)1.2059

Descriptive statistics

Standard deviation0.71124765
Coefficient of variation (CV)1.0326314
Kurtosis-1.0604187
Mean0.68877207
Median Absolute Deviation (MAD)0.4739
Skewness0.63639007
Sum19.97439
Variance0.50587322
MonotonicityNot monotonic
2023-12-10T15:14:41.485761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 6
20.7%
1.2525 2
 
6.9%
1.862 2
 
6.9%
1.9 2
 
6.9%
0.05543 2
 
6.9%
0.7403 1
 
3.4%
0.0466 1
 
3.4%
0.4739 1
 
3.4%
0.02648 1
 
3.4%
0.74 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 6
20.7%
0.02648 1
 
3.4%
0.0466 1
 
3.4%
0.053 1
 
3.4%
0.05543 2
 
6.9%
0.1386 1
 
3.4%
0.3086 1
 
3.4%
0.37 1
 
3.4%
0.4739 1
 
3.4%
0.707 1
 
3.4%
ValueCountFrequency (%)
1.91325 1
3.4%
1.9 2
6.9%
1.862 2
6.9%
1.451 1
3.4%
1.2525 2
6.9%
1.11 1
3.4%
0.941 1
3.4%
0.8148 1
3.4%
0.7403 1
3.4%
0.74 1
3.4%

0.40966
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9241669
Minimum0
Maximum7.9591
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:41.660001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.089
median0.5386
Q31.1333
95-th percentile2.34
Maximum7.9591
Range7.9591
Interquartile range (IQR)1.0443

Descriptive statistics

Standard deviation1.5152675
Coefficient of variation (CV)1.6396038
Kurtosis17.343547
Mean0.9241669
Median Absolute Deviation (MAD)0.5326
Skewness3.8273182
Sum26.80084
Variance2.2960357
MonotonicityNot monotonic
2023-12-10T15:14:41.906131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
17.2%
2.34 2
 
6.9%
0.75 2
 
6.9%
1.1333 2
 
6.9%
0.33613 2
 
6.9%
1.425 1
 
3.4%
0.8538 1
 
3.4%
0.2831 1
 
3.4%
0.5939 1
 
3.4%
0.14788 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 5
17.2%
0.006 1
 
3.4%
0.0634 1
 
3.4%
0.089 1
 
3.4%
0.14788 1
 
3.4%
0.1668 1
 
3.4%
0.2831 1
 
3.4%
0.33613 2
 
6.9%
0.432 1
 
3.4%
0.5386 1
 
3.4%
ValueCountFrequency (%)
7.9591 1
3.4%
2.34 2
6.9%
1.8624 1
3.4%
1.425 1
3.4%
1.288 1
3.4%
1.1333 2
6.9%
1.118 1
3.4%
0.855 1
3.4%
0.8538 1
3.4%
0.75 2
6.9%

0.0004
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0022155172
Minimum0
Maximum0.0302
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:42.084373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.002
95-th percentile0.0066
Maximum0.0302
Range0.0302
Interquartile range (IQR)0.002

Descriptive statistics

Standard deviation0.0057448596
Coefficient of variation (CV)2.5930105
Kurtosis21.625847
Mean0.0022155172
Median Absolute Deviation (MAD)0
Skewness4.4399627
Sum0.06425
Variance3.3003411 × 10-5
MonotonicityNot monotonic
2023-12-10T15:14:42.242741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 16
55.2%
0.003 2
 
6.9%
0.006 2
 
6.9%
0.001 1
 
3.4%
0.0302 1
 
3.4%
0.0015 1
 
3.4%
0.0003 1
 
3.4%
0.002 1
 
3.4%
0.007 1
 
3.4%
0.00125 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 16
55.2%
0.0003 1
 
3.4%
0.0005 1
 
3.4%
0.001 1
 
3.4%
0.00125 1
 
3.4%
0.0015 1
 
3.4%
0.002 1
 
3.4%
0.0025 1
 
3.4%
0.003 2
 
6.9%
0.006 2
 
6.9%
ValueCountFrequency (%)
0.0302 1
3.4%
0.007 1
3.4%
0.006 2
6.9%
0.003 2
6.9%
0.0025 1
3.4%
0.002 1
3.4%
0.0015 1
3.4%
0.00125 1
3.4%
0.001 1
3.4%
0.0005 1
3.4%

10.998
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.19669
Minimum0
Maximum788.69
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:42.418682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.476
Q129.866
median75.38
Q3344.1
95-th percentile682.066
Maximum788.69
Range788.69
Interquartile range (IQR)314.234

Descriptive statistics

Standard deviation229.40676
Coefficient of variation (CV)1.1459069
Kurtosis1.0267771
Mean200.19669
Median Absolute Deviation (MAD)66.69
Skewness1.2955711
Sum5805.704
Variance52627.461
MonotonicityNot monotonic
2023-12-10T15:14:42.585349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
344.1 5
17.2%
213.5 2
 
6.9%
0.0 2
 
6.9%
788.69 2
 
6.9%
29.866 2
 
6.9%
75.38 1
 
3.4%
10.22 1
 
3.4%
109.58 1
 
3.4%
8.69 1
 
3.4%
22.752 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
8.69 1
3.4%
10.22 1
3.4%
19.12 1
3.4%
19.74 1
3.4%
22.752 1
3.4%
29.866 2
6.9%
40.57 1
3.4%
41.4 1
3.4%
55.06 1
3.4%
ValueCountFrequency (%)
788.69 2
 
6.9%
522.13 1
 
3.4%
472.64 1
 
3.4%
411.77 1
 
3.4%
344.1 5
17.2%
213.5 2
 
6.9%
109.58 1
 
3.4%
92.73 1
 
3.4%
75.38 1
 
3.4%
60.63 1
 
3.4%

20.302
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.97131
Minimum0
Maximum1454.84
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:42.818209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.24
Q143.66
median139.36
Q3618.5
95-th percentile1253.468
Maximum1454.84
Range1454.84
Interquartile range (IQR)574.84

Descriptive statistics

Standard deviation420.48781
Coefficient of variation (CV)1.1779317
Kurtosis1.2801481
Mean356.97131
Median Absolute Deviation (MAD)126.26
Skewness1.3583886
Sum10352.168
Variance176810
MonotonicityNot monotonic
2023-12-10T15:14:43.034066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
618.5 5
17.2%
386.84 2
 
6.9%
0.0 2
 
6.9%
1454.84 2
 
6.9%
53.056 2
 
6.9%
139.36 1
 
3.4%
13.1 1
 
3.4%
173.49 1
 
3.4%
16.565 1
 
3.4%
42.461 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
13.1 1
3.4%
16.565 1
3.4%
28.89 1
3.4%
31.5 1
3.4%
42.461 1
3.4%
43.66 1
3.4%
53.056 2
6.9%
64.43 1
3.4%
64.8 1
3.4%
ValueCountFrequency (%)
1454.84 2
 
6.9%
951.41 1
 
3.4%
852.485 1
 
3.4%
668.43 1
 
3.4%
618.5 5
17.2%
386.84 2
 
6.9%
181.3 1
 
3.4%
173.49 1
 
3.4%
139.36 1
 
3.4%
110.555 1
 
3.4%

17.102
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.53359
Minimum0
Maximum1039.32
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.227303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.204
Q125.21
median81.92
Q3140.6
95-th percentile985.55
Maximum1039.32
Range1039.32
Interquartile range (IQR)115.39

Descriptive statistics

Standard deviation316.56978
Coefficient of variation (CV)1.4486093
Kurtosis2.1320252
Mean218.53359
Median Absolute Deviation (MAD)58.68
Skewness1.8255408
Sum6337.474
Variance100216.42
MonotonicityNot monotonic
2023-12-10T15:14:43.404810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
140.6 5
17.2%
345.4 2
 
6.9%
0.0 2
 
6.9%
985.55 2
 
6.9%
34.042 2
 
6.9%
78.84 1
 
3.4%
8.01 1
 
3.4%
113.96 1
 
3.4%
10.88 1
 
3.4%
23.77 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
8.01 1
3.4%
10.88 1
3.4%
14.01 1
3.4%
15.95 1
3.4%
23.77 1
3.4%
25.21 1
3.4%
34.042 2
6.9%
38.2 1
3.4%
40.0 1
3.4%
ValueCountFrequency (%)
1039.32 1
 
3.4%
985.55 2
 
6.9%
735.89 1
 
3.4%
486.82 1
 
3.4%
345.4 2
 
6.9%
140.6 5
17.2%
115.02 1
 
3.4%
113.96 1
 
3.4%
81.92 1
 
3.4%
78.84 1
 
3.4%

4.538
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.503103
Minimum0
Maximum441.43
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.588138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q19.625
median19.725
Q3113
95-th percentile429.482
Maximum441.43
Range441.43
Interquartile range (IQR)103.375

Descriptive statistics

Standard deviation132.19131
Coefficient of variation (CV)1.4290473
Kurtosis2.6640613
Mean92.503103
Median Absolute Deviation (MAD)19.195
Skewness1.8698368
Sum2682.59
Variance17474.544
MonotonicityNot monotonic
2023-12-10T15:14:43.727977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
113.0 5
17.2%
122.52 2
 
6.9%
0.0 2
 
6.9%
441.43 2
 
6.9%
9.625 2
 
6.9%
38.92 1
 
3.4%
3.0 1
 
3.4%
21.2 1
 
3.4%
4.055 1
 
3.4%
9.94 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
3.0 1
3.4%
4.055 1
3.4%
7.6 1
3.4%
8.08 1
3.4%
9.625 2
6.9%
9.94 1
3.4%
10.51 1
3.4%
10.74 1
3.4%
12.2 1
3.4%
ValueCountFrequency (%)
441.43 2
 
6.9%
411.56 1
 
3.4%
255.5 1
 
3.4%
124.4 1
 
3.4%
122.52 2
 
6.9%
113.0 5
17.2%
38.92 1
 
3.4%
21.2 1
 
3.4%
19.725 1
 
3.4%
17.98 1
 
3.4%

12.388
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.80931
Minimum0
Maximum917.58
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.890340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.28
Q127.4
median95.8
Q3356.1
95-th percentile767.67
Maximum917.58
Range917.58
Interquartile range (IQR)328.7

Descriptive statistics

Standard deviation255.12934
Coefficient of variation (CV)1.2102375
Kurtosis2.2595295
Mean210.80931
Median Absolute Deviation (MAD)87.6
Skewness1.5912534
Sum6113.47
Variance65090.979
MonotonicityNot monotonic
2023-12-10T15:14:44.066514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
356.1 5
17.2%
209.42 2
 
6.9%
0.0 2
 
6.9%
917.58 2
 
6.9%
30.666 2
 
6.9%
95.8 1
 
3.4%
8.2 1
 
3.4%
106.18 1
 
3.4%
10.42 1
 
3.4%
24.423 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
8.2 1
3.4%
10.42 1
3.4%
17.56 1
3.4%
19.6 1
3.4%
24.423 1
3.4%
27.4 1
3.4%
30.666 2
6.9%
39.1 1
3.4%
49.2 1
3.4%
ValueCountFrequency (%)
917.58 2
 
6.9%
542.805 1
 
3.4%
486.98 1
 
3.4%
356.1 5
17.2%
353.76 1
 
3.4%
209.42 2
 
6.9%
111.63 1
 
3.4%
106.18 1
 
3.4%
95.8 1
 
3.4%
65.14 1
 
3.4%

2021-01-21
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2021-01-21 00:00:00
Maximum2021-01-21 00:00:00
2023-12-10T15:14:44.222041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:44.385578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

12.882
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.93769
Minimum0
Maximum701.23
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:44.596735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.494
Q124.408
median68.58
Q3132
95-th percentile634.898
Maximum701.23
Range701.23
Interquartile range (IQR)107.592

Descriptive statistics

Standard deviation201.24458
Coefficient of variation (CV)1.3073119
Kurtosis2.4330282
Mean153.93769
Median Absolute Deviation (MAD)59.845
Skewness1.8237371
Sum4464.193
Variance40499.38
MonotonicityNot monotonic
2023-12-10T15:14:44.838760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
132.0 5
17.2%
701.23 2
 
6.9%
211.26 2
 
6.9%
20.58 2
 
6.9%
35.815 2
 
6.9%
0.0 2
 
6.9%
11.31 1
 
3.4%
91.52 1
 
3.4%
8.735 1
 
3.4%
24.408 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 2
6.9%
8.735 1
3.4%
11.31 1
3.4%
20.58 2
6.9%
22.21 1
3.4%
24.408 1
3.4%
35.815 2
6.9%
37.08 1
3.4%
41.4 1
3.4%
59.245 1
3.4%
ValueCountFrequency (%)
701.23 2
 
6.9%
535.4 1
 
3.4%
442.535 1
 
3.4%
379.05 1
 
3.4%
211.26 2
 
6.9%
132.0 5
17.2%
91.52 1
 
3.4%
84.79 1
 
3.4%
68.58 1
 
3.4%
60.16 1
 
3.4%

0.672
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.543034
Minimum0
Maximum245.3
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:45.037794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.804
Q15.951
median12.42
Q326.7
95-th percentile207.1
Maximum245.3
Range245.3
Interquartile range (IQR)20.749

Descriptive statistics

Standard deviation69.726807
Coefficient of variation (CV)1.6389712
Kurtosis3.6251499
Mean42.543034
Median Absolute Deviation (MAD)10.42
Skewness2.1434017
Sum1233.748
Variance4861.8276
MonotonicityNot monotonic
2023-12-10T15:14:45.268375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26.7 5
17.2%
6.5 2
 
6.9%
0.0 2
 
6.9%
245.3 2
 
6.9%
5.951 2
 
6.9%
24.4 1
 
3.4%
2.01 1
 
3.4%
10.03 1
 
3.4%
2.265 1
 
3.4%
4.921 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
2.01 1
3.4%
2.265 1
3.4%
4.305 1
3.4%
4.921 1
3.4%
5.951 2
6.9%
6.5 2
6.9%
6.98 1
3.4%
7.51 1
3.4%
10.03 1
3.4%
ValueCountFrequency (%)
245.3 2
 
6.9%
149.8 1
 
3.4%
144.28 1
 
3.4%
135.73 1
 
3.4%
32.01 1
 
3.4%
26.7 5
17.2%
24.4 1
 
3.4%
22.84 1
 
3.4%
13.845 1
 
3.4%
12.42 1
 
3.4%

14.38
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.47438
Minimum0
Maximum923.14
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:45.491322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.908
Q133.35
median95.3
Q3535.4
95-th percentile782.1
Maximum923.14
Range923.14
Interquartile range (IQR)502.05

Descriptive statistics

Standard deviation284.52636
Coefficient of variation (CV)1.1137178
Kurtosis-0.080972918
Mean255.47438
Median Absolute Deviation (MAD)85.53
Skewness1.008113
Sum7408.757
Variance80955.249
MonotonicityNot monotonic
2023-12-10T15:14:45.691114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
535.4 5
17.2%
241.4 2
 
6.9%
0.0 2
 
6.9%
923.14 2
 
6.9%
45.732 2
 
6.9%
95.3 1
 
3.4%
18.24 1
 
3.4%
121.66 1
 
3.4%
9.77 1
 
3.4%
30.733 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
9.77 1
3.4%
18.24 1
3.4%
23.44 1
3.4%
30.733 1
3.4%
32.65 1
3.4%
33.35 1
3.4%
45.3 1
3.4%
45.732 2
6.9%
49.31 1
3.4%
ValueCountFrequency (%)
923.14 2
 
6.9%
570.54 1
 
3.4%
546.89 1
 
3.4%
535.4 5
17.2%
467.57 1
 
3.4%
241.4 2
 
6.9%
122.19 1
 
3.4%
121.66 1
 
3.4%
95.3 1
 
3.4%
78.93 1
 
3.4%

6.378
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.50897
Minimum0
Maximum511.81
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:45.896213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.986
Q125.78
median46.4
Q3153.2
95-th percentile473.154
Maximum511.81
Range511.81
Interquartile range (IQR)127.42

Descriptive statistics

Standard deviation145.86086
Coefficient of variation (CV)1.1906138
Kurtosis2.0858715
Mean122.50897
Median Absolute Deviation (MAD)41.435
Skewness1.6308254
Sum3552.76
Variance21275.391
MonotonicityNot monotonic
2023-12-10T15:14:46.134789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
153.2 5
17.2%
190.06 2
 
6.9%
0.0 2
 
6.9%
511.81 2
 
6.9%
29.767 2
 
6.9%
56.18 1
 
3.4%
18.3 1
 
3.4%
46.4 1
 
3.4%
4.965 1
 
3.4%
12.401 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
4.965 1
3.4%
10.0 1
3.4%
12.401 1
3.4%
18.3 1
3.4%
19.97 1
3.4%
25.78 1
3.4%
29.767 2
6.9%
30.6 1
3.4%
32.91 1
3.4%
ValueCountFrequency (%)
511.81 2
 
6.9%
415.17 1
 
3.4%
262.185 1
 
3.4%
240.48 1
 
3.4%
190.06 2
 
6.9%
153.2 5
17.2%
65.34 1
 
3.4%
56.18 1
 
3.4%
46.4 1
 
3.4%
46.265 1
 
3.4%

24.178
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.3991
Minimum0
Maximum958.91
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:46.458320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.678
Q163.087
median176.8
Q3514
95-th percentile878.342
Maximum958.91
Range958.91
Interquartile range (IQR)450.913

Descriptive statistics

Standard deviation289.74476
Coefficient of variation (CV)0.97754937
Kurtosis-0.12291538
Mean296.3991
Median Absolute Deviation (MAD)139.46
Skewness0.92977917
Sum8595.574
Variance83952.024
MonotonicityNot monotonic
2023-12-10T15:14:46.729586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
514.0 5
17.2%
316.26 2
 
6.9%
0.0 2
 
6.9%
958.91 2
 
6.9%
63.087 2
 
6.9%
221.36 1
 
3.4%
30.46 1
 
3.4%
170.41 1
 
3.4%
19.195 1
 
3.4%
44.165 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
19.195 1
3.4%
30.46 1
3.4%
44.165 1
3.4%
45.65 1
3.4%
47.66 1
3.4%
63.087 2
6.9%
70.47 1
3.4%
78.24 1
3.4%
86.33 1
3.4%
ValueCountFrequency (%)
958.91 2
 
6.9%
757.49 1
 
3.4%
642.395 1
 
3.4%
573.07 1
 
3.4%
514.0 5
17.2%
316.26 2
 
6.9%
246.6 1
 
3.4%
221.36 1
 
3.4%
176.8 1
 
3.4%
170.41 1
 
3.4%

아침
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아침 29
100.0%

Length

2023-12-10T15:14:46.978236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:47.138879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아침 29
100.0%
Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:14:47.378916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.793103
Min length11

Characters and Unicode

Total characters400
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

Unique16 ?
Unique (%)55.2%

Sample

1st rowAF001010110020
2nd rowAF001120110100
3rd rowAF001040110310
4th rowAF001090140420
5th rowAF001110110220
ValueCountFrequency (%)
af001010110020 5
17.2%
af001020110380 2
 
6.9%
af001120110100 2
 
6.9%
af001040110310 2
 
6.9%
10200030020 2
 
6.9%
af001130120010 1
 
3.4%
af001110120220 1
 
3.4%
af001090110450 1
 
3.4%
af001110111330 1
 
3.4%
af001120110010 1
 
3.4%
Other values (11) 11
37.9%
2023-12-10T15:14:47.873558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
43.0%
1 111
27.8%
A 27
 
6.8%
F 27
 
6.8%
2 25
 
6.2%
3 14
 
3.5%
4 6
 
1.5%
8 5
 
1.2%
5 5
 
1.2%
7 4
 
1.0%
Other values (2) 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 346
86.5%
Uppercase Letter 54
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
49.7%
1 111
32.1%
2 25
 
7.2%
3 14
 
4.0%
4 6
 
1.7%
8 5
 
1.4%
5 5
 
1.4%
7 4
 
1.2%
9 3
 
0.9%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
A 27
50.0%
F 27
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 346
86.5%
Latin 54
 
13.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
49.7%
1 111
32.1%
2 25
 
7.2%
3 14
 
4.0%
4 6
 
1.7%
8 5
 
1.4%
5 5
 
1.4%
7 4
 
1.2%
9 3
 
0.9%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
A 27
50.0%
F 27
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
43.0%
1 111
27.8%
A 27
 
6.8%
F 27
 
6.8%
2 25
 
6.2%
3 14
 
3.5%
4 6
 
1.5%
8 5
 
1.2%
5 5
 
1.2%
7 4
 
1.0%
Other values (2) 4
 
1.0%

Sample

731001am73AFS00112김치|장아찌류고추장아찌1종지1518.182.469960.9090.8038100.477720.02940.11.210419.30020.167120.2703333330.2152.1265*0.30.7686811.3892169.040.0062960.0351320.1834640.003466.36460.4위암0.0046740.601763.8820.250.511.1260.390.1280.5965.186X0.159920.02080.60.08480.0218320.70.0449740.233360.181360.8X.10.848960.133520.305380.409660.000410.99820.30217.1024.53812.3882021-01-2112.8820.67214.386.37824.178아침AF001120120150
0731002am73AFS0011밥류쌀밥1공기210362.179.361.371.0910.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0위암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0아침AF001010110020
1731003am73AFS00112김치|장아찌류깍두기1접시4037.6147.92410.56420.060210.01.58970.49330.2993.156756.77442.11647.0571670.0484.1235*0.02.320624.311428.6460.044810.145570.845780.0185431.03020.0위암0.0956574.513222.82116.7471.33435.672463.76213.937292.3079.979X0.77530.42670.05520.41590.04380.00.3358270.62520.71756.164X0.483880.089320.055430.336130.00329.86653.05634.0429.62530.6662021-01-2135.8155.95145.73229.76763.087아침AF001120110100
2731004am73AFS0014국|탕류미역국1대접23090.123.386.9145.00611.625.740.2624.262.2716.9113.0552.82.8371.15*0.02.2293.270.560.0240.0541.30.05421.2760.48위암0.10.071.11.363.259.281003.476.65122.7554.56X1.4240.0581.00.6740.030.00.0421751.889.38910.2X4.9660.7581.8622.340.006213.5386.84345.4122.52209.422021-01-21211.266.5241.4190.06316.26아침AF001040110310
3731005am73AFS0019조림류우엉조림1접시6084.4512.04863.40283.352810.02.19080.89080.02.450848.882.27760.010.00.055*0.03.36445.9280.30.00360.06120.20120.048613.6280.0위암0.14060.533.92410.9240.062.62656.121.21246.2225.5X0.68580.28580.00.37560.170.00.25060.00.40.0X3.1940.46680.81481.86240.041.464.840.012.249.22021-01-2141.411.445.330.6246.6아침AF001090140420
4731006am73AFS00111나물|무침류도라지무침1인분9080.88519.30170.76960.769610.02.30612.06610.03.398664.0061.391893.480.0573.065*0.01.14986.23217.930.08920.09140.78690.039220.1260.0위암0.09870.3238.45834.8580.073.57245.441.81359.973.99X2.55372.51370.00.32350.03150.00.25450.10.49030.0X0.360.05460.13860.16680.055.0664.4338.210.7439.12021-01-2137.0832.0149.3125.7886.33아침AF001110110220
5731007am73AFS0018볶음류모둠버섯볶음1접시7050.938.8681.2020.202310.03.45393.45390.05.7038116.6681.36990.230.02.115*1.370.1851.0663.60.15030.33063.67330.130994.00.0위암1.164.84.544.5430.071.9176.393.03437.913.6X1.16951.16950.01.06470.14330.00.11735.42513.39380.0X0.9540.1570.7070.0890.00158.6887.7681.9217.9859.442021-01-2160.1612.4265.3436.5478.24아침AF001080120450
6731008am73AFS0019조림류동태조림1접시12891.497.9320.7320.3710.3513.01.67511.132.405122.9032.799112.586.3660.895*0.01.5866.07410.3250.0860.1311.5350.11328.3162.8위암0.1340.0652.5816.5533.6179.73739.048.2408.766.92X1.0590.8640.140.5840.0940.00.4310.0420.93765.66X0.0110.0010.00.0060.0472.64951.411039.32411.56486.982021-01-21535.4144.28546.89415.17757.49아침AF001090110120
7731009am73AFS0011밥류쌀밥1공기210362.179.361.371.0910.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0위암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0아침AF001010110020
8731010am73AFS0018볶음류잔멸치볶음1종지3089.696.6193.9353.01510.96.9760.4466.360.53920.5352.9350.00.045.85*0.01.4525.7824.680.0170.0330.9340.11921.7596.195위암0.0260.0138.922.12135.3159.81424.270.3226.424.15X1.0130.1380.8250.2830.0490.00.53139.8613.01683.55X2.8340.4261.111.2880.0411.77668.43735.89255.5353.762021-01-21379.05149.8467.57240.48573.07아침AF001080110280
9731011am73AFS00115양념류우렁쌈장1종지80259.98497517.484614.6446.540510.79819.148712.35.7246.592190.04756.603454.4883335.0577.315*0.07.484810.227744.89530.292560.350972.849720.1370568.1690.663위암0.545053.4852786.0152.71620.05296.411126.811.2578.3215.99X5.89492.06153.0622.89130.476590.00.930915685.631125.820910.93X11.37641.473851.913257.95910.0302522.13852.485486.82124.4542.8052021-01-21442.535135.73570.54262.185642.395아침AF001150110060
731001am73AFS00112김치|장아찌류고추장아찌1종지1518.182.469960.9090.8038100.477720.02940.11.210419.30020.167120.2703333330.2152.1265*0.30.7686811.3892169.040.0062960.0351320.1834640.003466.36460.4위암0.0046740.601763.8820.250.511.1260.390.1280.5965.186X0.159920.02080.60.08480.0218320.70.0449740.233360.181360.8X.10.848960.133520.305380.409660.000410.99820.30217.1024.53812.3882021-01-2112.8820.67214.386.37824.178아침AF001120120150
19731021am73AFS00112김치|장아찌류깍두기1접시4037.6147.92410.56420.060210.01.58970.49330.2993.156756.77442.11647.0571670.0484.1235*0.02.320624.311428.6460.044810.145570.845780.0185431.03020.0위암0.0956574.513222.82116.7471.33435.672463.76213.937292.3079.979X0.77530.42670.05520.41590.04380.00.3358270.62520.71756.164X0.483880.089320.055430.336130.00329.86653.05634.0429.62530.6662021-01-2135.8155.95145.73229.76763.087아침AF001120110100
20731022am73AFS0011밥류쌀밥1공기210362.179.361.371.0910.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0위암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0아침AF001010110020
21731023am73AFS0014국|탕류미역국1대접23090.123.386.9145.00611.625.740.2624.262.2716.9113.0552.82.8371.15*0.02.2293.270.560.0240.0541.30.05421.2760.48위암0.10.071.11.363.259.281003.476.65122.7554.56X1.4240.0581.00.6740.030.00.0421751.889.38910.2X4.9660.7581.8622.340.006213.5386.84345.4122.52209.422021-01-21211.266.5241.4190.06316.26아침AF001040110310
22731024am73AFS0012면|만두류잔치국수1인분500471.6379.6675.580.007513.27519.9790.1058.8752.926775.20110.6712132.537.5651.05*0.750.97730.992.15260.163960.21532.50230.0603878.6175.925위암0.986536.625278.564.385248.875333.613048.3269.239443.6745.4225X3.33930.059052.3751.73240.186050.4750.9887239.99115.016171.0X3.52131.30881.25251.13330.0788.691454.84985.55441.43917.582021-01-21701.23245.3923.14511.81958.91아침AF001020110380
23731025am73AFS001G010난류삶은계란1개5072.51.354.350.014.356.10.06.10.037.70.570.572.09.05*1.50.550.00.00.00.10.350.0556.650.55위암0.710.718.00.018.079.070.50.074.55.0X0.90.00.90.650.052.50.00.015.4215.0X4.151.451.90.750.00.00.00.00.00.02021-01-210.00.00.00.00.0아침10200030020
24731026am73AFS00112김치|장아찌류배추김치1접시4039.1218.74460.298650.012610.0031.40440.13840.11751.1833659.08011.459252.1490.0207.5745*0.00.970751.764719.02650.0677250.0861950.529180.008549.18040.0위암0.0511181.880539.4583.9173.69539.282300.2452.08239.1264.809X0.48620.09660.0280.164920.0249050.00.1066640.53380.319752.0325X0.218930.043320.026480.147880.0012522.75242.46123.779.9424.4232021-01-2124.4084.92130.73312.40144.165아침AF001120110010
25731027am73AFS0011밥류쌀밥1공기210362.179.361.371.0910.06.976.240.01.8211.330.970.00.00.05*0.00.620.00.00.160.052.790.2522.010.0위암0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.0아침AF001010110020
26731028am73AFS00111나물|무침류부추무침1접시8339.5455.82441.69121.60710.02.33282.12550.01.952767.17761.574360.97750.02239.4955*0.02.618133.7265225.96540.085370.153790.716710.114268.8750.0위암0.155510.752240.0338.820.031.295193.4641.21349.3954.45X1.57711.52440.00.29670.111990.00.3372590.14360.78190.0X1.262450.194150.47390.59390.00058.6916.56510.884.05510.422021-01-218.7352.2659.774.96519.195아침AF001110111330
27731029am73AFS0019조림류코다리조림1접시160175.9113.27122.13650.01511.724.47820.27421.72.378100.8944.58516.4583330.0407.095*0.02.95113.49461.9050.196650.617372.330420.139426.3174.0위암0.0413.76154.654.5241.0271.571165.670.9485.1724.12X1.1010.1210.40.66210.047080.00.300060.52140.781797.0X0.40810.07590.04660.28310.0025109.58173.49113.9621.2106.182021-01-2191.5210.03121.6646.4170.41아침AF001090110450
28731030am73AFS00111나물|무침류무나물1접시7528.332.5962.0532.05310.00.4990.4990.00.862450.6131.2397.4333330.044.65*0.00.8870.4368.50.0180.01560.2160.013924.3190.0위암0.080030.015.7515.750.014.31342.5615.85122.620.94X0.3950.3950.00.17260.00330.00.235330.00.5110.0X1.87880.28470.74030.85380.010.2213.18.013.08.22021-01-2111.312.0118.2418.330.46아침AF001110130770