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 memory667.6 B

Variable types

Numeric61
Categorical14

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000054

Alerts

am48 has constant value ""Constant
AFS001 has constant value ""Constant
2 has constant value ""Constant
3* has constant value ""Constant
임신출산 has constant value ""Constant
X has constant value ""Constant
X.1 has constant value ""Constant
2021-01-21 has constant value ""Constant
54481001 has unique valuesUnique
0 has 10 (34.5%) zerosZeros
7.83 has 11 (37.9%) zerosZeros
0.1 has 10 (34.5%) zerosZeros
3.44 has 11 (37.9%) zerosZeros
0.61 has 4 (13.8%) zerosZeros
0.2 has 10 (34.5%) zerosZeros
5.6 has 12 (41.4%) zerosZeros
0.3 has 10 (34.5%) zerosZeros
0.79 has 16 (55.2%) zerosZeros
0.8 has 4 (13.8%) zerosZeros
0.4 has 3 (10.3%) zerosZeros
0.5 has 10 (34.5%) zerosZeros
1.22 has 4 (13.8%) zerosZeros
2.27 has 1 (3.4%) zerosZeros
15.2 has 4 (13.8%) zerosZeros
0.6 has 10 (34.5%) zerosZeros
159.4 has 11 (37.9%) zerosZeros
0.9 has 6 (20.7%) zerosZeros
14.3 has 1 (3.4%) zerosZeros
0.10 has 10 (34.5%) zerosZeros
2.03 has 11 (37.9%) zerosZeros
0.11 has 10 (34.5%) zerosZeros
0.89 has 5 (17.2%) zerosZeros
1.53 has 1 (3.4%) zerosZeros
0.12 has 10 (34.5%) zerosZeros
0.43 has 7 (24.1%) zerosZeros
0.08 has 4 (13.8%) zerosZeros
0.06 has 7 (24.1%) zerosZeros
0.31 has 7 (24.1%) zerosZeros
0.14 has 9 (31.0%) zerosZeros
387.8 has 13 (44.8%) zerosZeros
746.2 has 3 (10.3%) zerosZeros
280.2 has 3 (10.3%) zerosZeros
169.5 has 3 (10.3%) zerosZeros
405 has 3 (10.3%) zerosZeros
299.4 has 3 (10.3%) zerosZeros
80.1 has 3 (10.3%) zerosZeros
459.4 has 3 (10.3%) zerosZeros
222.4 has 3 (10.3%) zerosZeros
683.8 has 3 (10.3%) zerosZeros

Reproduction

Analysis started2023-12-10 06:14:35.859463
Analysis finished2023-12-10 06:14:36.608278
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

54481001
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54481016
Minimum54481002
Maximum54481030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:36.692967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54481002
5-th percentile54481003
Q154481009
median54481016
Q354481023
95-th percentile54481029
Maximum54481030
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)1.5628734 × 10-7
Kurtosis-1.2
Mean54481016
Median Absolute Deviation (MAD)7
Skewness0
Sum1.5799495 × 109
Variance72.5
MonotonicityStrictly increasing
2023-12-10T15:14:36.885174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
54481002 1
 
3.4%
54481003 1
 
3.4%
54481030 1
 
3.4%
54481029 1
 
3.4%
54481028 1
 
3.4%
54481027 1
 
3.4%
54481026 1
 
3.4%
54481025 1
 
3.4%
54481024 1
 
3.4%
54481023 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
54481002 1
3.4%
54481003 1
3.4%
54481004 1
3.4%
54481005 1
3.4%
54481006 1
3.4%
54481007 1
3.4%
54481008 1
3.4%
54481009 1
3.4%
54481010 1
3.4%
54481011 1
3.4%
ValueCountFrequency (%)
54481030 1
3.4%
54481029 1
3.4%
54481028 1
3.4%
54481027 1
3.4%
54481026 1
3.4%
54481025 1
3.4%
54481024 1
3.4%
54481023 1
3.4%
54481022 1
3.4%
54481021 1
3.4%

am48
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
am48
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowam48
2nd rowam48
3rd rowam48
4th rowam48
5th rowam48

Common Values

ValueCountFrequency (%)
am48 29
100.0%

Length

2023-12-10T15:14:37.127160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:37.375578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
am48 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

2023-12-10T15:14:37.548586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:37.701456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
afs001 29
100.0%

1
Real number (ℝ)

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6551724
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:37.823894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median11
Q311
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4743384
Coefficient of variation (CV)0.51695544
Kurtosis-1.0831888
Mean8.6551724
Median Absolute Deviation (MAD)2
Skewness-0.36440428
Sum251
Variance20.019704
MonotonicityNot monotonic
2023-12-10T15:14:38.000302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11 11
37.9%
4 7
24.1%
15 4
 
13.8%
1 3
 
10.3%
9 3
 
10.3%
12 1
 
3.4%
ValueCountFrequency (%)
1 3
 
10.3%
4 7
24.1%
9 3
 
10.3%
11 11
37.9%
12 1
 
3.4%
15 4
 
13.8%
ValueCountFrequency (%)
15 4
 
13.8%
12 1
 
3.4%
11 11
37.9%
9 3
 
10.3%
4 7
24.1%
1 3
 
10.3%

밥류
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
"나물
11 
"국
앙념류
밥류
조림류

Length

Max length3
Median length3
Mean length2.6551724
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row밥류
2nd row밥류
3rd row"나물
4th row"나물
5th row"나물

Common Values

ValueCountFrequency (%)
"나물 11
37.9%
"국 7
24.1%
앙념류 4
 
13.8%
밥류 3
 
10.3%
조림류 3
 
10.3%
"김치 1
 
3.4%

Length

2023-12-10T15:14:38.225556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:38.448673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나물 11
37.9%
7
24.1%
앙념류 4
 
13.8%
밥류 3
 
10.3%
조림류 3
 
10.3%
김치 1
 
3.4%

잡곡밥
Categorical

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
무침류"
11 
탕류"
딸기잼
연근조림
잡곡밥
Other values (3)

Length

Max length6
Median length5
Mean length4.2068966
Min length2

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row잡곡밥
2nd row잡곡밥
3rd row 무침류"
4th row 무침류"
5th row 무침류"

Common Values

ValueCountFrequency (%)
무침류" 11
37.9%
탕류" 7
24.1%
딸기잼 3
 
10.3%
연근조림 3
 
10.3%
잡곡밥 2
 
6.9%
장아찌류" 1
 
3.4%
양념간장 1
 
3.4%
쌀밥 1
 
3.4%

Length

2023-12-10T15:14:38.692981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:38.900131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무침류 11
37.9%
탕류 7
24.1%
딸기잼 3
 
10.3%
연근조림 3
 
10.3%
잡곡밥 2
 
6.9%
장아찌류 1
 
3.4%
양념간장 1
 
3.4%
쌀밥 1
 
3.4%

1공기
Categorical

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
사과샐러드
1종지
1공기
야채샐러드
김치국
Other values (5)
11 

Length

Max length7
Median length5
Mean length4.137931
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row1공기
2nd row1공기
3rd row야채샐러드
4th row야채샐러드
5th row야채샐러드

Common Values

ValueCountFrequency (%)
사과샐러드 5
17.2%
1종지 4
13.8%
1공기 3
10.3%
야채샐러드 3
10.3%
김치국 3
10.3%
1회제공량 3
10.3%
떡국 3
10.3%
딸기그린샐러드 3
10.3%
배추김치 1
 
3.4%
콩나물국 1
 
3.4%

Length

2023-12-10T15:14:39.166927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:39.355901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사과샐러드 5
17.2%
1종지 4
13.8%
1공기 3
10.3%
야채샐러드 3
10.3%
김치국 3
10.3%
1회제공량 3
10.3%
떡국 3
10.3%
딸기그린샐러드 3
10.3%
배추김치 1
 
3.4%
콩나물국 1
 
3.4%

210
Categorical

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
1접시
12 
1대접
210
40
30
Other values (2)

Length

Max length3
Median length3
Mean length2.7586207
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row210
2nd row210
3rd row1접시
4th row1접시
5th row1접시

Common Values

ValueCountFrequency (%)
1접시 12
41.4%
1대접 4
 
13.8%
210 3
 
10.3%
40 3
 
10.3%
30 3
 
10.3%
1인분 3
 
10.3%
10 1
 
3.4%

Length

2023-12-10T15:14:39.570618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:39.745747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1접시 12
41.4%
1대접 4
 
13.8%
210 3
 
10.3%
40 3
 
10.3%
30 3
 
10.3%
1인분 3
 
10.3%
10 1
 
3.4%

352.5
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.96924
Minimum40
Maximum450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:39.942225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile55.633057
Q170
median100
Q3110
95-th percentile450
Maximum450
Range410
Interquartile range (IQR)40

Descriptive statistics

Standard deviation133.73979
Coefficient of variation (CV)0.86300866
Kurtosis0.58691487
Mean154.96924
Median Absolute Deviation (MAD)30
Skewness1.4726009
Sum4494.1079
Variance17886.332
MonotonicityNot monotonic
2023-12-10T15:14:40.121137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
100.0 5
17.2%
110.0 3
10.3%
108.2031429 3
10.3%
75.0 3
10.3%
66.29 3
10.3%
450.0 3
10.3%
70.0 3
10.3%
352.5 2
 
6.9%
40.0 1
 
3.4%
48.52842857 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
40.0 1
 
3.4%
48.52842857 1
 
3.4%
66.29 3
10.3%
70.0 3
10.3%
75.0 3
10.3%
100.0 5
17.2%
108.2031429 3
10.3%
110.0 3
10.3%
200.0 1
 
3.4%
352.5 2
 
6.9%
ValueCountFrequency (%)
450.0 3
10.3%
362.1 1
 
3.4%
352.5 2
 
6.9%
200.0 1
 
3.4%
110.0 3
10.3%
108.2031429 3
10.3%
100.0 5
17.2%
75.0 3
10.3%
70.0 3
10.3%
66.29 3
10.3%

76.31
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.57021
Minimum6.4352
Maximum432.151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:40.287037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4352
5-th percentile12.925
Q132.8206
median73.04
Q3161.962
95-th percentile432.151
Maximum432.151
Range425.7158
Interquartile range (IQR)129.1414

Descriptive statistics

Standard deviation122.7253
Coefficient of variation (CV)1.109931
Kurtosis3.0605332
Mean110.57021
Median Absolute Deviation (MAD)51.11
Skewness1.9115789
Sum3206.536
Variance15061.499
MonotonicityNot monotonic
2023-12-10T15:14:40.469180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
161.962 5
17.2%
118.48 3
10.3%
32.8206 3
10.3%
21.93 3
10.3%
12.925 3
10.3%
432.151 3
10.3%
73.04 3
10.3%
76.31 2
 
6.9%
39.121 1
 
3.4%
6.4352 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
6.4352 1
 
3.4%
12.925 3
10.3%
21.93 3
10.3%
32.8206 3
10.3%
39.121 1
 
3.4%
45.15 1
 
3.4%
73.04 3
10.3%
76.31 2
6.9%
79.36 1
 
3.4%
118.48 3
10.3%
ValueCountFrequency (%)
432.151 3
10.3%
161.962 5
17.2%
118.48 3
10.3%
79.36 1
 
3.4%
76.31 2
 
6.9%
73.04 3
10.3%
45.15 1
 
3.4%
39.121 1
 
3.4%
32.8206 3
10.3%
21.93 3
10.3%

0.7
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.823595
Minimum0.0642
Maximum80.235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:40.625719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0642
5-th percentile0.0642
Q11.08
median8.479
Q315.626
95-th percentile80.235
Maximum80.235
Range80.1708
Interquartile range (IQR)14.546

Descriptive statistics

Standard deviation23.598241
Coefficient of variation (CV)1.7070987
Kurtosis5.0288267
Mean13.823595
Median Absolute Deviation (MAD)7.147
Skewness2.4826575
Sum400.88426
Variance556.87698
MonotonicityNot monotonic
2023-12-10T15:14:40.792537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15.626 5
17.2%
8.479 3
10.3%
0.0642 3
10.3%
2.91 3
10.3%
1.08 3
10.3%
80.235 3
10.3%
9.401 3
10.3%
0.7 2
 
6.9%
8.7446 1
 
3.4%
2.10306 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0642 3
10.3%
0.7 2
6.9%
1.08 3
10.3%
1.37 1
 
3.4%
2.10306 1
 
3.4%
2.629 1
 
3.4%
2.91 3
10.3%
8.479 3
10.3%
8.7446 1
 
3.4%
9.401 3
10.3%
ValueCountFrequency (%)
80.235 3
10.3%
15.626 5
17.2%
9.401 3
10.3%
8.7446 1
 
3.4%
8.479 3
10.3%
2.91 3
10.3%
2.629 1
 
3.4%
2.10306 1
 
3.4%
1.37 1
 
3.4%
1.08 3
10.3%

0.34
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2118983
Minimum0.0042
Maximum11.2052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:40.977935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0042
5-th percentile0.0042
Q10.603
median2.863
Q39.297
95-th percentile11.2052
Maximum11.2052
Range11.201
Interquartile range (IQR)8.694

Descriptive statistics

Standard deviation4.3095906
Coefficient of variation (CV)1.0231944
Kurtosis-1.2097212
Mean4.2118983
Median Absolute Deviation (MAD)2.56435
Skewness0.66768937
Sum122.14505
Variance18.572571
MonotonicityNot monotonic
2023-12-10T15:14:41.135749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11.2052 5
17.2%
9.297 3
10.3%
0.0042 3
10.3%
0.603 3
10.3%
1.03 3
10.3%
5.485 3
10.3%
3.778 3
10.3%
0.34 2
 
6.9%
0.29865 1
 
3.4%
0.5958 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0042 3
10.3%
0.29865 1
 
3.4%
0.34 2
6.9%
0.5958 1
 
3.4%
0.603 3
10.3%
1.03 3
10.3%
1.09 1
 
3.4%
2.863 1
 
3.4%
3.778 3
10.3%
5.485 3
10.3%
ValueCountFrequency (%)
11.2052 5
17.2%
9.297 3
10.3%
5.485 3
10.3%
3.778 3
10.3%
2.863 1
 
3.4%
1.09 1
 
3.4%
1.03 3
10.3%
0.603 3
10.3%
0.5958 1
 
3.4%
0.34 2
 
6.9%

2
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 29
100.0%

Length

2023-12-10T15:14:41.306699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:41.857964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 29
100.0%

0
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1849172
Minimum0
Maximum10.6082
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:41.955735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.642
Q39.257
95-th percentile10.6082
Maximum10.6082
Range10.6082
Interquartile range (IQR)9.257

Descriptive statistics

Standard deviation4.4158542
Coefficient of variation (CV)1.3864895
Kurtosis-0.93780069
Mean3.1849172
Median Absolute Deviation (MAD)0.642
Skewness0.99653969
Sum92.3626
Variance19.499768
MonotonicityNot monotonic
2023-12-10T15:14:42.111817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
10.6082 5
17.2%
9.257 3
 
10.3%
0.309 3
 
10.3%
2.225 3
 
10.3%
0.642 3
 
10.3%
0.0126 1
 
3.4%
2.01 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.0126 1
 
3.4%
0.309 3
 
10.3%
0.642 3
 
10.3%
2.01 1
 
3.4%
2.225 3
 
10.3%
9.257 3
 
10.3%
10.6082 5
17.2%
ValueCountFrequency (%)
10.6082 5
17.2%
9.257 3
 
10.3%
2.225 3
 
10.3%
2.01 1
 
3.4%
0.642 3
 
10.3%
0.309 3
 
10.3%
0.0126 1
 
3.4%
0.0 10
34.5%

7.83
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4046955
Minimum0
Maximum7.83
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:42.264986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2484
Q31.575
95-th percentile7.486
Maximum7.83
Range7.83
Interquartile range (IQR)1.575

Descriptive statistics

Standard deviation2.3685009
Coefficient of variation (CV)1.6861312
Kurtosis2.9263253
Mean1.4046955
Median Absolute Deviation (MAD)0.2484
Skewness1.957989
Sum40.73617
Variance5.6097967
MonotonicityNot monotonic
2023-12-10T15:14:42.412699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 11
37.9%
0.2484 3
 
10.3%
0.294 3
 
10.3%
1.575 3
 
10.3%
3.26 3
 
10.3%
7.83 2
 
6.9%
0.003 1
 
3.4%
1.81797 1
 
3.4%
6.97 1
 
3.4%
0.153 1
 
3.4%
ValueCountFrequency (%)
0.0 11
37.9%
0.003 1
 
3.4%
0.153 1
 
3.4%
0.2484 3
 
10.3%
0.294 3
 
10.3%
1.575 3
 
10.3%
1.81797 1
 
3.4%
3.26 3
 
10.3%
6.97 1
 
3.4%
7.83 2
 
6.9%
ValueCountFrequency (%)
7.83 2
 
6.9%
6.97 1
 
3.4%
3.26 3
 
10.3%
1.81797 1
 
3.4%
1.575 3
 
10.3%
0.294 3
 
10.3%
0.2484 3
 
10.3%
0.153 1
 
3.4%
0.003 1
 
3.4%
0.0 11
37.9%

6.87
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5429414
Minimum0.0084
Maximum13.394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:42.573551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0084
5-th percentile0.0084
Q11.4044
median2.3616
Q33.418
95-th percentile13.394
Maximum13.394
Range13.3856
Interquartile range (IQR)2.0136

Descriptive statistics

Standard deviation3.8587099
Coefficient of variation (CV)1.0891261
Kurtosis2.5155501
Mean3.5429414
Median Absolute Deviation (MAD)1.0564
Skewness1.7947772
Sum102.7453
Variance14.889642
MonotonicityNot monotonic
2023-12-10T15:14:42.761169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.3616 5
17.2%
1.557 3
10.3%
0.0084 3
10.3%
2.721 3
10.3%
0.775 3
10.3%
13.394 3
10.3%
3.418 3
10.3%
6.87 2
 
6.9%
1.4044 1
 
3.4%
0.3117 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0084 3
10.3%
0.3117 1
 
3.4%
0.775 3
10.3%
1.4044 1
 
3.4%
1.557 3
10.3%
2.3616 5
17.2%
2.721 3
10.3%
3.418 3
10.3%
3.621 1
 
3.4%
6.24 1
 
3.4%
ValueCountFrequency (%)
13.394 3
10.3%
6.87 2
 
6.9%
6.24 1
 
3.4%
3.621 1
 
3.4%
3.418 3
10.3%
2.721 3
10.3%
2.3616 5
17.2%
1.557 3
10.3%
1.4044 1
 
3.4%
0.775 3
10.3%

0.1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2854966
Minimum0
Maximum6.774
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.036104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.477
Q31.299
95-th percentile6.774
Maximum6.774
Range6.774
Interquartile range (IQR)1.299

Descriptive statistics

Standard deviation1.998846
Coefficient of variation (CV)1.5549214
Kurtosis4.2865551
Mean1.2854966
Median Absolute Deviation (MAD)0.477
Skewness2.2593218
Sum37.2794
Variance3.9953855
MonotonicityNot monotonic
2023-12-10T15:14:43.208169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
1.2726 5
17.2%
0.477 3
 
10.3%
1.299 3
 
10.3%
6.774 3
 
10.3%
1.658 3
 
10.3%
0.1384 1
 
3.4%
0.154 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.1384 1
 
3.4%
0.154 1
 
3.4%
0.477 3
 
10.3%
1.2726 5
17.2%
1.299 3
 
10.3%
1.658 3
 
10.3%
6.774 3
 
10.3%
ValueCountFrequency (%)
6.774 3
 
10.3%
1.658 3
 
10.3%
1.299 3
 
10.3%
1.2726 5
17.2%
0.477 3
 
10.3%
0.154 1
 
3.4%
0.1384 1
 
3.4%
0.0 10
34.5%

3.44
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3876034
Minimum0
Maximum6.62
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.402283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1175
Q31.73
95-th percentile6.62
Maximum6.62
Range6.62
Interquartile range (IQR)1.73

Descriptive statistics

Standard deviation2.069098
Coefficient of variation (CV)1.4911306
Kurtosis2.2968605
Mean1.3876034
Median Absolute Deviation (MAD)0.1175
Skewness1.7660624
Sum40.2405
Variance4.2811665
MonotonicityNot monotonic
2023-12-10T15:14:43.573310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 11
37.9%
0.0084 3
 
10.3%
1.422 3
 
10.3%
1.73 3
 
10.3%
6.62 3
 
10.3%
3.44 2
 
6.9%
0.1175 1
 
3.4%
0.9148 1
 
3.4%
1.82 1
 
3.4%
1.167 1
 
3.4%
ValueCountFrequency (%)
0.0 11
37.9%
0.0084 3
 
10.3%
0.1175 1
 
3.4%
0.9148 1
 
3.4%
1.167 1
 
3.4%
1.422 3
 
10.3%
1.73 3
 
10.3%
1.82 1
 
3.4%
3.44 2
 
6.9%
6.62 3
 
10.3%
ValueCountFrequency (%)
6.62 3
 
10.3%
3.44 2
 
6.9%
1.82 1
 
3.4%
1.73 3
 
10.3%
1.422 3
 
10.3%
1.167 1
 
3.4%
0.9148 1
 
3.4%
0.1175 1
 
3.4%
0.0084 3
 
10.3%
0.0 11
37.9%

14.34
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.250081
Minimum0.929
Maximum48.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:43.742690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.929
5-th percentile1.484816
Q12.108
median2.45416
Q314.34
95-th percentile48.37
Maximum48.37
Range47.441
Interquartile range (IQR)12.232

Descriptive statistics

Standard deviation15.409349
Coefficient of variation (CV)1.36971
Kurtosis1.44873
Mean11.250081
Median Absolute Deviation (MAD)0.51716
Skewness1.6311348
Sum326.25236
Variance237.44804
MonotonicityNot monotonic
2023-12-10T15:14:43.890690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.45416 5
17.2%
2.34 3
10.3%
28.8405 3
10.3%
1.937 3
10.3%
48.37 3
10.3%
2.108 3
10.3%
2.677 3
10.3%
14.34 2
 
6.9%
1.18336 1
 
3.4%
13.0417 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.929 1
 
3.4%
1.18336 1
 
3.4%
1.937 3
10.3%
2.108 3
10.3%
2.34 3
10.3%
2.45416 5
17.2%
2.677 3
10.3%
11.33 1
 
3.4%
13.0417 1
 
3.4%
14.34 2
 
6.9%
ValueCountFrequency (%)
48.37 3
10.3%
28.8405 3
10.3%
14.34 2
 
6.9%
13.0417 1
 
3.4%
11.33 1
 
3.4%
2.677 3
10.3%
2.45416 5
17.2%
2.34 3
10.3%
2.108 3
10.3%
1.937 3
10.3%

0.82
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.721347
Minimum0.1263
Maximum115.1408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:44.058589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1263
5-th percentile0.1263
Q12.05
median59.0801
Q3102.811
95-th percentile115.1408
Maximum115.1408
Range115.0145
Interquartile range (IQR)100.761

Descriptive statistics

Standard deviation47.610771
Coefficient of variation (CV)0.7840862
Kurtosis-1.7184525
Mean60.721347
Median Absolute Deviation (MAD)56.0607
Skewness-0.28845245
Sum1760.9191
Variance2266.7855
MonotonicityNot monotonic
2023-12-10T15:14:44.231738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
115.1408 5
17.2%
102.811 3
10.3%
0.1263 3
10.3%
58.632 3
10.3%
2.05 3
10.3%
95.992 3
10.3%
97.186 3
10.3%
0.82 2
 
6.9%
59.0801 1
 
3.4%
2.18207 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.1263 3
10.3%
0.82 2
6.9%
0.97 1
 
3.4%
2.05 3
10.3%
2.18207 1
 
3.4%
50.951 1
 
3.4%
58.632 3
10.3%
59.0801 1
 
3.4%
95.992 3
10.3%
97.186 3
10.3%
ValueCountFrequency (%)
115.1408 5
17.2%
102.811 3
10.3%
97.186 3
10.3%
95.992 3
10.3%
59.0801 1
 
3.4%
58.632 3
10.3%
50.951 1
 
3.4%
2.18207 1
 
3.4%
2.05 3
10.3%
0.97 1
 
3.4%

0.61
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2095661
Minimum0
Maximum2.894
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:44.414897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.61
median1.047
Q32.1431667
95-th percentile2.894
Maximum2.894
Range2.894
Interquartile range (IQR)1.5331667

Descriptive statistics

Standard deviation1.0076132
Coefficient of variation (CV)0.83303688
Kurtosis-1.0266492
Mean1.2095661
Median Absolute Deviation (MAD)1.026
Skewness0.47486755
Sum35.077417
Variance1.0152843
MonotonicityNot monotonic
2023-12-10T15:14:44.602954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.047 5
17.2%
0.0 4
13.8%
0.776 3
10.3%
0.021 3
10.3%
2.6345 3
10.3%
2.894 3
10.3%
1.219 3
10.3%
0.61 2
 
6.9%
1.45925 1
 
3.4%
2.143166667 1
 
3.4%
ValueCountFrequency (%)
0.0 4
13.8%
0.021 3
10.3%
0.61 2
 
6.9%
0.776 3
10.3%
1.047 5
17.2%
1.219 3
10.3%
1.45925 1
 
3.4%
2.143166667 1
 
3.4%
2.3865 1
 
3.4%
2.6345 3
10.3%
ValueCountFrequency (%)
2.894 3
10.3%
2.6345 3
10.3%
2.3865 1
 
3.4%
2.143166667 1
 
3.4%
1.45925 1
 
3.4%
1.219 3
10.3%
1.047 5
17.2%
0.776 3
10.3%
0.61 2
 
6.9%
0.021 3
10.3%

0.2
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.257724
Minimum0
Maximum164.79
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:44.825722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.819
Q373.3
95-th percentile164.79
Maximum164.79
Range164.79
Interquartile range (IQR)73.3

Descriptive statistics

Standard deviation63.975835
Coefficient of variation (CV)1.4135893
Kurtosis-0.37212854
Mean45.257724
Median Absolute Deviation (MAD)4.819
Skewness1.1513467
Sum1312.474
Variance4092.9075
MonotonicityNot monotonic
2023-12-10T15:14:45.015311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
4.819 5
17.2%
164.79 3
 
10.3%
32.86 3
 
10.3%
73.3 3
 
10.3%
156.02 3
 
10.3%
2.149 1
 
3.4%
5.32 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
2.149 1
 
3.4%
4.819 5
17.2%
5.32 1
 
3.4%
32.86 3
 
10.3%
73.3 3
 
10.3%
156.02 3
 
10.3%
164.79 3
 
10.3%
ValueCountFrequency (%)
164.79 3
 
10.3%
156.02 3
 
10.3%
73.3 3
 
10.3%
32.86 3
 
10.3%
5.32 1
 
3.4%
4.819 5
17.2%
2.149 1
 
3.4%
0.0 10
34.5%

5.6
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9665517
Minimum0
Maximum117.892
Zeros12
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:45.228942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.126
Q310.75
95-th percentile32.8
Maximum117.892
Range117.892
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation23.071546
Coefficient of variation (CV)2.3148975
Kurtosis17.995438
Mean9.9665517
Median Absolute Deviation (MAD)0.126
Skewness3.9876653
Sum289.03
Variance532.29622
MonotonicityNot monotonic
2023-12-10T15:14:45.433446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 12
41.4%
10.75 5
17.2%
2.47 3
 
10.3%
0.126 3
 
10.3%
32.8 3
 
10.3%
5.6 2
 
6.9%
117.892 1
 
3.4%
ValueCountFrequency (%)
0.0 12
41.4%
0.126 3
 
10.3%
2.47 3
 
10.3%
5.6 2
 
6.9%
10.75 5
17.2%
32.8 3
 
10.3%
117.892 1
 
3.4%
ValueCountFrequency (%)
117.892 1
 
3.4%
32.8 3
 
10.3%
10.75 5
17.2%
5.6 2
 
6.9%
2.47 3
 
10.3%
0.126 3
 
10.3%
0.0 12
41.4%

3*
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3*
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3*
2nd row3*
3rd row3*
4th row3*
5th row3*

Common Values

ValueCountFrequency (%)
3* 29
100.0%

Length

2023-12-10T15:14:45.676063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:45.831707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
100.0%

0.3
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.39979
Minimum0
Maximum1241.72
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:45.966588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median207.574
Q3243
95-th percentile1241.72
Maximum1241.72
Range1241.72
Interquartile range (IQR)243

Descriptive statistics

Standard deviation429.85029
Coefficient of variation (CV)1.3250634
Kurtosis0.38011968
Mean324.39979
Median Absolute Deviation (MAD)207.574
Skewness1.3862808
Sum9407.594
Variance184771.28
MonotonicityNot monotonic
2023-12-10T15:14:46.163707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
222.414 5
17.2%
1002.38 3
 
10.3%
197.25 3
 
10.3%
243.0 3
 
10.3%
1241.72 3
 
10.3%
207.574 1
 
3.4%
34.9 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
34.9 1
 
3.4%
197.25 3
 
10.3%
207.574 1
 
3.4%
222.414 5
17.2%
243.0 3
 
10.3%
1002.38 3
 
10.3%
1241.72 3
 
10.3%
ValueCountFrequency (%)
1241.72 3
 
10.3%
1002.38 3
 
10.3%
243.0 3
 
10.3%
222.414 5
17.2%
207.574 1
 
3.4%
197.25 3
 
10.3%
34.9 1
 
3.4%
0.0 10
34.5%

0.79
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3055669
Minimum0
Maximum1.24
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:46.354569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.6
95-th percentile1.24
Maximum1.24
Range1.24
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.45927712
Coefficient of variation (CV)1.503033
Kurtosis-0.29819942
Mean0.3055669
Median Absolute Deviation (MAD)0
Skewness1.1139714
Sum8.86144
Variance0.21093548
MonotonicityNot monotonic
2023-12-10T15:14:46.578299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 16
55.2%
0.0021 3
 
10.3%
1.24 3
 
10.3%
0.6 3
 
10.3%
0.79 2
 
6.9%
1.13514 1
 
3.4%
0.62 1
 
3.4%
ValueCountFrequency (%)
0.0 16
55.2%
0.0021 3
 
10.3%
0.6 3
 
10.3%
0.62 1
 
3.4%
0.79 2
 
6.9%
1.13514 1
 
3.4%
1.24 3
 
10.3%
ValueCountFrequency (%)
1.24 3
 
10.3%
1.13514 1
 
3.4%
0.79 2
 
6.9%
0.62 1
 
3.4%
0.6 3
 
10.3%
0.0021 3
 
10.3%
0.0 16
55.2%

0.8
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1858119
Minimum0
Maximum2.112996
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:46.838865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median1.279
Q31.92056
95-th percentile1.976
Maximum2.112996
Range2.112996
Interquartile range (IQR)1.12056

Descriptive statistics

Standard deviation0.72674173
Coefficient of variation (CV)0.61286424
Kurtosis-1.3169698
Mean1.1858119
Median Absolute Deviation (MAD)0.64156
Skewness-0.30459849
Sum34.388546
Variance0.52815354
MonotonicityNot monotonic
2023-12-10T15:14:47.037527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.92056 5
17.2%
0.0 4
13.8%
1.279 3
10.3%
0.45 3
10.3%
1.976 3
10.3%
0.808 3
10.3%
1.841 3
10.3%
0.8 2
 
6.9%
0.97075 1
 
3.4%
2.112996 1
 
3.4%
ValueCountFrequency (%)
0.0 4
13.8%
0.45 3
10.3%
0.8 2
 
6.9%
0.808 3
10.3%
0.97075 1
 
3.4%
1.04 1
 
3.4%
1.279 3
10.3%
1.841 3
10.3%
1.92056 5
17.2%
1.976 3
10.3%
ValueCountFrequency (%)
2.112996 1
 
3.4%
1.976 3
10.3%
1.92056 5
17.2%
1.841 3
10.3%
1.279 3
10.3%
1.04 1
 
3.4%
0.97075 1
 
3.4%
0.808 3
10.3%
0.8 2
 
6.9%
0.45 3
10.3%

0.4
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.760421
Minimum0
Maximum110.132
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:47.206589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.2
median22.35
Q335.146
95-th percentile110.132
Maximum110.132
Range110.132
Interquartile range (IQR)20.946

Descriptive statistics

Standard deviation30.037324
Coefficient of variation (CV)0.97649262
Kurtosis3.3636916
Mean30.760421
Median Absolute Deviation (MAD)12.796
Skewness1.9065803
Sum892.0522
Variance902.24082
MonotonicityNot monotonic
2023-12-10T15:14:47.391480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
21.8557 5
17.2%
0.0 3
10.3%
35.146 3
10.3%
22.35 3
10.3%
37.814 3
10.3%
14.2 3
10.3%
26.15 3
10.3%
110.132 3
10.3%
1.7647 1
 
3.4%
1.547 1
 
3.4%
ValueCountFrequency (%)
0.0 3
10.3%
1.547 1
 
3.4%
1.7647 1
 
3.4%
14.2 3
10.3%
21.8557 5
17.2%
22.35 3
10.3%
26.15 3
10.3%
35.146 3
10.3%
37.814 3
10.3%
42.086 1
 
3.4%
ValueCountFrequency (%)
110.132 3
10.3%
42.086 1
 
3.4%
37.814 3
10.3%
35.146 3
10.3%
26.15 3
10.3%
22.35 3
10.3%
21.8557 5
17.2%
14.2 3
10.3%
1.7647 1
 
3.4%
1.547 1
 
3.4%

0.18
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.446068
Minimum0.00984
Maximum63.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:47.569810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00984
5-th percentile0.00984
Q10.16
median9.078
Q39.31
95-th percentile63.03
Maximum63.03
Range63.02016
Interquartile range (IQR)9.15

Descriptive statistics

Standard deviation18.681382
Coefficient of variation (CV)1.6321223
Kurtosis4.4435323
Mean11.446068
Median Absolute Deviation (MAD)7.388
Skewness2.3173406
Sum331.93597
Variance348.99404
MonotonicityNot monotonic
2023-12-10T15:14:47.758450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9.078 5
17.2%
14.21 3
10.3%
0.00984 3
10.3%
9.31 3
10.3%
0.05 3
10.3%
1.69 3
10.3%
63.03 3
10.3%
0.18 2
 
6.9%
19.0265 1
 
3.4%
0.019949 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.00984 3
10.3%
0.019949 1
 
3.4%
0.05 3
10.3%
0.16 1
 
3.4%
0.18 2
 
6.9%
1.69 3
10.3%
2.08 1
 
3.4%
9.078 5
17.2%
9.31 3
10.3%
14.21 3
10.3%
ValueCountFrequency (%)
63.03 3
10.3%
19.0265 1
 
3.4%
14.21 3
10.3%
9.31 3
10.3%
9.078 5
17.2%
2.08 1
 
3.4%
1.69 3
10.3%
0.18 2
 
6.9%
0.16 1
 
3.4%
0.05 3
10.3%

0.03
Real number (ℝ)

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.060543103
Minimum0.00642
Maximum0.268915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:47.962212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00642
5-th percentile0.00642
Q10.03
median0.056
Q30.067725
95-th percentile0.144
Maximum0.268915
Range0.262495
Interquartile range (IQR)0.037725

Descriptive statistics

Standard deviation0.054452828
Coefficient of variation (CV)0.89940595
Kurtosis7.0597718
Mean0.060543103
Median Absolute Deviation (MAD)0.01883
Skewness2.3746124
Sum1.75575
Variance0.0029651105
MonotonicityNot monotonic
2023-12-10T15:14:48.152500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.03717 5
17.2%
0.06 4
13.8%
0.02 3
10.3%
0.00642 3
10.3%
0.068 3
10.3%
0.056 3
10.3%
0.144 3
10.3%
0.03 2
 
6.9%
0.067725 1
 
3.4%
0.268915 1
 
3.4%
ValueCountFrequency (%)
0.00642 3
10.3%
0.02 3
10.3%
0.03 2
 
6.9%
0.03717 5
17.2%
0.05 1
 
3.4%
0.056 3
10.3%
0.06 4
13.8%
0.067725 1
 
3.4%
0.068 3
10.3%
0.144 3
10.3%
ValueCountFrequency (%)
0.268915 1
 
3.4%
0.144 3
10.3%
0.068 3
10.3%
0.067725 1
 
3.4%
0.06 4
13.8%
0.056 3
10.3%
0.05 1
 
3.4%
0.03717 5
17.2%
0.03 2
 
6.9%
0.02 3
10.3%

1.63
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31040386
Minimum0.02
Maximum2.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:48.322712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.02
Q10.07539
median0.135
Q30.1521
95-th percentile1.63
Maximum2.79
Range2.77
Interquartile range (IQR)0.07671

Descriptive statistics

Standard deviation0.62016578
Coefficient of variation (CV)1.9979319
Kurtosis9.7940983
Mean0.31040386
Median Absolute Deviation (MAD)0.05961
Skewness3.149297
Sum9.001712
Variance0.3846056
MonotonicityNot monotonic
2023-12-10T15:14:48.481745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.07539 5
17.2%
0.02 3
10.3%
0.1521 3
10.3%
0.069 3
10.3%
0.17 3
10.3%
0.137 3
10.3%
0.135 3
10.3%
1.63 2
 
6.9%
0.086195 1
 
3.4%
0.378267 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.02 3
10.3%
0.061 1
 
3.4%
0.069 3
10.3%
0.07539 5
17.2%
0.086195 1
 
3.4%
0.135 3
10.3%
0.137 3
10.3%
0.1521 3
10.3%
0.17 3
10.3%
0.378267 1
 
3.4%
ValueCountFrequency (%)
2.79 1
 
3.4%
1.63 2
 
6.9%
0.378267 1
 
3.4%
0.17 3
10.3%
0.1521 3
10.3%
0.137 3
10.3%
0.135 3
10.3%
0.086195 1
 
3.4%
0.07539 5
17.2%
0.069 3
10.3%

0.13
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77858517
Minimum0.00105
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:48.635033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00105
5-th percentile0.00105
Q10.13
median0.4737
Q30.713
95-th percentile4
Maximum4
Range3.99895
Interquartile range (IQR)0.583

Descriptive statistics

Standard deviation1.1513013
Coefficient of variation (CV)1.4787095
Kurtosis4.8593972
Mean0.77858517
Median Absolute Deviation (MAD)0.3437
Skewness2.421368
Sum22.57897
Variance1.3254947
MonotonicityNot monotonic
2023-12-10T15:14:48.827942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4737 5
17.2%
0.483 3
10.3%
0.00105 3
10.3%
0.901 3
10.3%
0.045 3
10.3%
4.0 3
10.3%
0.713 3
10.3%
0.13 2
 
6.9%
0.52918 1
 
3.4%
0.01514 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.00105 3
10.3%
0.01514 1
 
3.4%
0.045 3
10.3%
0.13 2
 
6.9%
0.25 1
 
3.4%
0.4737 5
17.2%
0.483 3
10.3%
0.52918 1
 
3.4%
0.713 3
10.3%
0.727 1
 
3.4%
ValueCountFrequency (%)
4.0 3
10.3%
0.901 3
10.3%
0.727 1
 
3.4%
0.713 3
10.3%
0.52918 1
 
3.4%
0.483 3
10.3%
0.4737 5
17.2%
0.25 1
 
3.4%
0.13 2
 
6.9%
0.045 3
10.3%

52.26
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7030807
Minimum0.00854
Maximum52.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:49.016229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00854
5-th percentile0.0194
Q10.07968
median0.134
Q30.53
95-th percentile40.16
Maximum52.26
Range52.25146
Interquartile range (IQR)0.45032

Descriptive statistics

Standard deviation13.787616
Coefficient of variation (CV)2.4175734
Kurtosis8.2717844
Mean5.7030807
Median Absolute Deviation (MAD)0.115
Skewness2.965371
Sum165.38934
Variance190.09837
MonotonicityNot monotonic
2023-12-10T15:14:49.213276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.07968 5
17.2%
0.02 3
10.3%
0.273 3
10.3%
0.134 3
10.3%
8.04 3
10.3%
0.53 3
10.3%
0.099 3
10.3%
52.26 2
 
6.9%
0.00854 1
 
3.4%
11.1454 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.00854 1
 
3.4%
0.019 1
 
3.4%
0.02 3
10.3%
0.07968 5
17.2%
0.099 3
10.3%
0.134 3
10.3%
0.273 3
10.3%
0.53 3
10.3%
8.04 3
10.3%
11.1454 1
 
3.4%
ValueCountFrequency (%)
52.26 2
 
6.9%
22.01 1
 
3.4%
11.1454 1
 
3.4%
8.04 3
10.3%
0.53 3
10.3%
0.273 3
10.3%
0.134 3
10.3%
0.099 3
10.3%
0.07968 5
17.2%
0.02 3
10.3%

0.5
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.933083
Minimum0
Maximum131.609
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:49.423597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24.72
Q347.986
95-th percentile131.609
Maximum131.609
Range131.609
Interquartile range (IQR)47.986

Descriptive statistics

Standard deviation41.140924
Coefficient of variation (CV)1.1777067
Kurtosis1.0760656
Mean34.933083
Median Absolute Deviation (MAD)24.72
Skewness1.3669542
Sum1013.0594
Variance1692.5756
MonotonicityNot monotonic
2023-12-10T15:14:49.603262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
24.72 5
17.2%
25.416 3
 
10.3%
76.494 3
 
10.3%
47.986 3
 
10.3%
131.609 3
 
10.3%
9.1804 1
 
3.4%
35.764 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
9.1804 1
 
3.4%
24.72 5
17.2%
25.416 3
 
10.3%
35.764 1
 
3.4%
47.986 3
 
10.3%
76.494 3
 
10.3%
131.609 3
 
10.3%
ValueCountFrequency (%)
131.609 3
 
10.3%
76.494 3
 
10.3%
47.986 3
 
10.3%
35.764 1
 
3.4%
25.416 3
 
10.3%
24.72 5
17.2%
9.1804 1
 
3.4%
0.0 10
34.5%

임신출산
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임신출산 29
100.0%

Length

2023-12-10T15:14:49.762930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:49.892171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임신출산 29
100.0%

1.22
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46788476
Minimum0
Maximum1.516
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:50.010780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.013669
median0.0635
Q31.22
95-th percentile1.516
Maximum1.516
Range1.516
Interquartile range (IQR)1.206331

Descriptive statistics

Standard deviation0.60227867
Coefficient of variation (CV)1.2872372
Kurtosis-1.230046
Mean0.46788476
Median Absolute Deviation (MAD)0.0635
Skewness0.82583172
Sum13.568658
Variance0.3627396
MonotonicityNot monotonic
2023-12-10T15:14:50.167580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0635 5
17.2%
1.239 4
13.8%
0.0 4
13.8%
0.039 3
10.3%
0.002163 3
10.3%
0.19 3
10.3%
1.516 3
10.3%
1.22 2
 
6.9%
0.013669 1
 
3.4%
0.6 1
 
3.4%
ValueCountFrequency (%)
0.0 4
13.8%
0.002163 3
10.3%
0.013669 1
 
3.4%
0.039 3
10.3%
0.0635 5
17.2%
0.19 3
10.3%
0.6 1
 
3.4%
1.22 2
 
6.9%
1.239 4
13.8%
1.516 3
10.3%
ValueCountFrequency (%)
1.516 3
10.3%
1.239 4
13.8%
1.22 2
 
6.9%
0.6 1
 
3.4%
0.19 3
10.3%
0.0635 5
17.2%
0.039 3
10.3%
0.013669 1
 
3.4%
0.002163 3
10.3%
0.0 4
13.8%

2.27
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49923269
Minimum0
Maximum2.27
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:50.344181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0063
Q10.051118
median0.228
Q30.378
95-th percentile2.062
Maximum2.27
Range2.27
Interquartile range (IQR)0.326882

Descriptive statistics

Standard deviation0.71650612
Coefficient of variation (CV)1.4352148
Kurtosis1.3002709
Mean0.49923269
Median Absolute Deviation (MAD)0.15
Skewness1.6450848
Sum14.477748
Variance0.51338102
MonotonicityNot monotonic
2023-12-10T15:14:50.528492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.09965 5
17.2%
0.356 3
10.3%
0.0063 3
10.3%
0.012 3
10.3%
1.75 3
10.3%
0.378 3
10.3%
0.228 3
10.3%
2.27 2
 
6.9%
0.051118 1
 
3.4%
1.03148 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.0063 3
10.3%
0.012 3
10.3%
0.051118 1
 
3.4%
0.09965 5
17.2%
0.166 1
 
3.4%
0.228 3
10.3%
0.356 3
10.3%
0.378 3
10.3%
1.03148 1
 
3.4%
ValueCountFrequency (%)
2.27 2
 
6.9%
1.75 3
10.3%
1.03148 1
 
3.4%
0.378 3
10.3%
0.356 3
10.3%
0.228 3
10.3%
0.166 1
 
3.4%
0.09965 5
17.2%
0.051118 1
 
3.4%
0.012 3
10.3%

15.2
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8757241
Minimum0
Maximum20.223
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:50.740067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.8805
median3.6335
Q35
95-th percentile17.95
Maximum20.223
Range20.223
Interquartile range (IQR)3.1195

Descriptive statistics

Standard deviation6.2603807
Coefficient of variation (CV)1.0654654
Kurtosis0.33925658
Mean5.8757241
Median Absolute Deviation (MAD)1.753
Skewness1.3340858
Sum170.396
Variance39.192367
MonotonicityNot monotonic
2023-12-10T15:14:50.916123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.6335 5
17.2%
0.0 4
13.8%
1.196 3
10.3%
3.147 3
10.3%
17.95 3
10.3%
5.0 3
10.3%
3.982 3
10.3%
15.2 2
 
6.9%
1.8805 1
 
3.4%
20.223 1
 
3.4%
ValueCountFrequency (%)
0.0 4
13.8%
1.196 3
10.3%
1.8805 1
 
3.4%
3.147 3
10.3%
3.6335 5
17.2%
3.982 3
10.3%
5.0 3
10.3%
5.9 1
 
3.4%
15.2 2
 
6.9%
17.95 3
10.3%
ValueCountFrequency (%)
20.223 1
 
3.4%
17.95 3
10.3%
15.2 2
 
6.9%
5.9 1
 
3.4%
5.0 3
10.3%
3.982 3
10.3%
3.6335 5
17.2%
3.147 3
10.3%
1.8805 1
 
3.4%
1.196 3
10.3%

13.8
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.925276
Minimum1.047
Maximum88.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:51.107184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.047
5-th percentile1.047
Q113.8
median36.53
Q356.992
95-th percentile88.08
Maximum88.08
Range87.033
Interquartile range (IQR)43.192

Descriptive statistics

Standard deviation29.121592
Coefficient of variation (CV)0.76786763
Kurtosis-1.2305258
Mean37.925276
Median Absolute Deviation (MAD)22.73
Skewness0.24523735
Sum1099.833
Variance848.0671
MonotonicityNot monotonic
2023-12-10T15:14:51.285359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
56.992 5
17.2%
36.53 3
10.3%
1.047 3
10.3%
88.08 3
10.3%
3.95 3
10.3%
23.81 3
10.3%
66.74 3
10.3%
13.8 2
 
6.9%
39.458 1
 
3.4%
14.744 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
1.047 3
10.3%
3.95 3
10.3%
4.4 1
 
3.4%
13.8 2
 
6.9%
14.744 1
 
3.4%
23.81 3
10.3%
36.53 3
10.3%
39.458 1
 
3.4%
56.992 5
17.2%
66.74 3
10.3%
ValueCountFrequency (%)
88.08 3
10.3%
68.2 1
 
3.4%
66.74 3
10.3%
56.992 5
17.2%
39.458 1
 
3.4%
36.53 3
10.3%
23.81 3
10.3%
14.744 1
 
3.4%
13.8 2
 
6.9%
4.4 1
 
3.4%

0.6
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.124034
Minimum0
Maximum52.72
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:51.454523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.442
Q312.33
95-th percentile52.72
Maximum52.72
Range52.72
Interquartile range (IQR)12.33

Descriptive statistics

Standard deviation16.467911
Coefficient of variation (CV)1.2547903
Kurtosis1.4545987
Mean13.124034
Median Absolute Deviation (MAD)9.442
Skewness1.5382938
Sum380.597
Variance271.19209
MonotonicityNot monotonic
2023-12-10T15:14:51.642508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
9.442 5
17.2%
12.33 3
 
10.3%
30.93 3
 
10.3%
12.01 3
 
10.3%
52.72 3
 
10.3%
3.917 1
 
3.4%
5.5 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
3.917 1
 
3.4%
5.5 1
 
3.4%
9.442 5
17.2%
12.01 3
 
10.3%
12.33 3
 
10.3%
30.93 3
 
10.3%
52.72 3
 
10.3%
ValueCountFrequency (%)
52.72 3
 
10.3%
30.93 3
 
10.3%
12.33 3
 
10.3%
12.01 3
 
10.3%
9.442 5
17.2%
5.5 1
 
3.4%
3.917 1
 
3.4%
0.0 10
34.5%

159.4
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.31631
Minimum0
Maximum204.4
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:51.797971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.189
Q353.05
95-th percentile159.4
Maximum204.4
Range204.4
Interquartile range (IQR)53.05

Descriptive statistics

Standard deviation53.507629
Coefficient of variation (CV)1.5592477
Kurtosis3.9159827
Mean34.31631
Median Absolute Deviation (MAD)9.189
Skewness2.0870117
Sum995.173
Variance2863.0663
MonotonicityNot monotonic
2023-12-10T15:14:51.982096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 11
37.9%
9.189 3
 
10.3%
57.15 3
 
10.3%
53.05 3
 
10.3%
11.8 3
 
10.3%
159.4 2
 
6.9%
3.695 1
 
3.4%
36.011 1
 
3.4%
204.4 1
 
3.4%
38.7 1
 
3.4%
ValueCountFrequency (%)
0.0 11
37.9%
3.695 1
 
3.4%
9.189 3
 
10.3%
11.8 3
 
10.3%
36.011 1
 
3.4%
38.7 1
 
3.4%
53.05 3
 
10.3%
57.15 3
 
10.3%
159.4 2
 
6.9%
204.4 1
 
3.4%
ValueCountFrequency (%)
204.4 1
 
3.4%
159.4 2
 
6.9%
57.15 3
 
10.3%
53.05 3
 
10.3%
38.7 1
 
3.4%
36.011 1
 
3.4%
11.8 3
 
10.3%
9.189 3
 
10.3%
3.695 1
 
3.4%
0.0 11
37.9%

3.9
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.61428
Minimum3.9
Maximum679.766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:52.149687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.1568
Q139.59
median65.1
Q395.56
95-th percentile596.4
Maximum679.766
Range675.866
Interquartile range (IQR)55.97

Descriptive statistics

Standard deviation199.11031
Coefficient of variation (CV)1.4160035
Kurtosis2.7454688
Mean140.61428
Median Absolute Deviation (MAD)30.46
Skewness2.0381207
Sum4077.814
Variance39644.914
MonotonicityNot monotonic
2023-12-10T15:14:52.349007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
55.484 5
17.2%
39.59 3
10.3%
4.542 3
10.3%
80.36 3
10.3%
596.4 3
10.3%
156.64 3
10.3%
95.56 3
10.3%
3.9 2
 
6.9%
39.282 1
 
3.4%
679.766 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
3.9 2
 
6.9%
4.542 3
10.3%
39.282 1
 
3.4%
39.59 3
10.3%
55.484 5
17.2%
65.1 1
 
3.4%
80.36 3
10.3%
89.17 1
 
3.4%
95.56 3
10.3%
156.64 3
10.3%
ValueCountFrequency (%)
679.766 1
 
3.4%
596.4 3
10.3%
156.64 3
10.3%
95.56 3
10.3%
89.17 1
 
3.4%
80.36 3
10.3%
65.1 1
 
3.4%
55.484 5
17.2%
39.59 3
10.3%
39.282 1
 
3.4%

0.9
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.83259
Minimum0
Maximum881.99
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:52.538721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1134
median79.23
Q3300.245
95-th percentile881.99
Maximum881.99
Range881.99
Interquartile range (IQR)300.1316

Descriptive statistics

Standard deviation340.71015
Coefficient of variation (CV)1.3529232
Kurtosis-0.26176042
Mean251.83259
Median Absolute Deviation (MAD)79.1166
Skewness1.2192776
Sum7303.1452
Variance116083.41
MonotonicityNot monotonic
2023-12-10T15:14:52.695580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 6
20.7%
155.136 5
17.2%
79.23 3
10.3%
0.1134 3
10.3%
881.99 3
10.3%
861.72 3
10.3%
75.69 3
10.3%
300.245 1
 
3.4%
0.33 1
 
3.4%
530.66 1
 
3.4%
ValueCountFrequency (%)
0.0 6
20.7%
0.1134 3
10.3%
0.33 1
 
3.4%
75.69 3
10.3%
79.23 3
10.3%
155.136 5
17.2%
300.245 1
 
3.4%
530.66 1
 
3.4%
861.72 3
10.3%
881.99 3
10.3%
ValueCountFrequency (%)
881.99 3
10.3%
861.72 3
10.3%
530.66 1
 
3.4%
300.245 1
 
3.4%
155.136 5
17.2%
79.23 3
10.3%
75.69 3
10.3%
0.33 1
 
3.4%
0.1134 3
10.3%
0.0 6
20.7%

253.6
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.390517
Minimum2.08
Maximum279.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:53.218345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.08
5-th percentile3.24
Q13.325
median22.24
Q353.1
95-th percentile279.2
Maximum279.2
Range277.12
Interquartile range (IQR)49.775

Descriptive statistics

Standard deviation102.16621
Coefficient of variation (CV)1.3920901
Kurtosis0.087505315
Mean73.390517
Median Absolute Deviation (MAD)19
Skewness1.3490083
Sum2128.325
Variance10437.934
MonotonicityNot monotonic
2023-12-10T15:14:53.424558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.24 5
17.2%
11.6 3
10.3%
53.1 3
10.3%
3.325 3
10.3%
279.2 3
10.3%
42.35 3
10.3%
22.24 3
10.3%
253.6 2
 
6.9%
2.08 1
 
3.4%
124.325 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
2.08 1
 
3.4%
3.24 5
17.2%
3.325 3
10.3%
9.375 1
 
3.4%
11.6 3
10.3%
22.24 3
10.3%
42.35 3
10.3%
53.1 3
10.3%
124.325 1
 
3.4%
233.7 1
 
3.4%
ValueCountFrequency (%)
279.2 3
10.3%
253.6 2
6.9%
233.7 1
 
3.4%
124.325 1
 
3.4%
53.1 3
10.3%
42.35 3
10.3%
22.24 3
10.3%
11.6 3
10.3%
9.375 1
 
3.4%
3.325 3
10.3%

14.3
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.08421
Minimum0
Maximum375.37
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:53.615571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.126
Q115.5
median227.1
Q3238.926
95-th percentile375.37
Maximum375.37
Range375.37
Interquartile range (IQR)223.426

Descriptive statistics

Standard deviation125.74652
Coefficient of variation (CV)0.75712512
Kurtosis-1.1807182
Mean166.08421
Median Absolute Deviation (MAD)28.86
Skewness-0.13775075
Sum4816.442
Variance15812.189
MonotonicityNot monotonic
2023-12-10T15:14:53.783218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
238.926 5
17.2%
242.63 3
10.3%
0.126 3
10.3%
227.1 3
10.3%
15.5 3
10.3%
198.24 3
10.3%
375.37 3
10.3%
14.3 2
 
6.9%
239.126 1
 
3.4%
13.418 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.126 3
10.3%
13.418 1
 
3.4%
14.3 2
 
6.9%
15.5 3
10.3%
163.77 1
 
3.4%
198.24 3
10.3%
227.1 3
10.3%
238.926 5
17.2%
239.126 1
 
3.4%
ValueCountFrequency (%)
375.37 3
10.3%
242.63 3
10.3%
239.126 1
 
3.4%
238.926 5
17.2%
227.1 3
10.3%
198.24 3
10.3%
163.77 1
 
3.4%
15.5 3
10.3%
14.3 2
 
6.9%
13.418 1
 
3.4%

X
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 29
100.0%

Length

2023-12-10T15:14:53.983672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:54.131170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

2.16
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1905217
Minimum0.2121
Maximum42.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:54.264571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2121
5-th percentile0.2121
Q10.62
median3.11
Q35.85
95-th percentile42.43
Maximum42.43
Range42.2179
Interquartile range (IQR)5.23

Descriptive statistics

Standard deviation12.669701
Coefficient of variation (CV)1.5468735
Kurtosis3.8191842
Mean8.1905217
Median Absolute Deviation (MAD)2.74
Skewness2.1826858
Sum237.52513
Variance160.52133
MonotonicityNot monotonic
2023-12-10T15:14:54.448679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5.85 5
17.2%
12.9 3
10.3%
0.2121 3
10.3%
0.94 3
10.3%
0.62 3
10.3%
3.11 3
10.3%
42.43 3
10.3%
2.16 2
 
6.9%
4.809 1
 
3.4%
0.49983 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.2121 3
10.3%
0.49983 1
 
3.4%
0.61 1
 
3.4%
0.62 3
10.3%
0.94 3
10.3%
2.16 2
 
6.9%
3.11 3
10.3%
4.809 1
 
3.4%
5.85 5
17.2%
12.9 3
10.3%
ValueCountFrequency (%)
42.43 3
10.3%
17.4 1
 
3.4%
12.9 3
10.3%
5.85 5
17.2%
4.809 1
 
3.4%
3.11 3
10.3%
2.16 2
 
6.9%
0.94 3
10.3%
0.62 3
10.3%
0.61 1
 
3.4%

1.78
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0642517
Minimum0.0921
Maximum3.218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:54.680285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0921
5-th percentile0.0921
Q10.48
median0.6179
Q31.78
95-th percentile3.218
Maximum3.218
Range3.1259
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.98933615
Coefficient of variation (CV)0.92960728
Kurtosis0.19124445
Mean1.0642517
Median Absolute Deviation (MAD)0.3981
Skewness1.164512
Sum30.8633
Variance0.97878602
MonotonicityNot monotonic
2023-12-10T15:14:54.904763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6179 5
17.2%
0.584 3
10.3%
0.0921 3
10.3%
1.016 3
10.3%
0.22 3
10.3%
2.261 3
10.3%
3.218 3
10.3%
1.78 2
 
6.9%
0.4862 1
 
3.4%
0.1703 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0921 3
10.3%
0.1703 1
 
3.4%
0.22 3
10.3%
0.48 1
 
3.4%
0.4862 1
 
3.4%
0.584 3
10.3%
0.6179 5
17.2%
0.904 1
 
3.4%
1.016 3
10.3%
1.78 2
 
6.9%
ValueCountFrequency (%)
3.218 3
10.3%
2.261 3
10.3%
1.78 2
 
6.9%
1.016 3
10.3%
0.904 1
 
3.4%
0.6179 5
17.2%
0.584 3
10.3%
0.4862 1
 
3.4%
0.48 1
 
3.4%
0.22 3
10.3%

0.10
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58626207
Minimum0
Maximum2.832
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:55.126571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.384
Q30.53
95-th percentile2.832
Maximum2.832
Range2.832
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation0.83840862
Coefficient of variation (CV)1.4300919
Kurtosis3.6088676
Mean0.58626207
Median Absolute Deviation (MAD)0.384
Skewness2.0745112
Sum17.0016
Variance0.70292901
MonotonicityNot monotonic
2023-12-10T15:14:55.302840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
0.5294 5
17.2%
0.384 3
 
10.3%
0.53 3
 
10.3%
0.981 3
 
10.3%
2.832 3
 
10.3%
0.0966 1
 
3.4%
0.077 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.077 1
 
3.4%
0.0966 1
 
3.4%
0.384 3
 
10.3%
0.5294 5
17.2%
0.53 3
 
10.3%
0.981 3
 
10.3%
2.832 3
 
10.3%
ValueCountFrequency (%)
2.832 3
 
10.3%
0.981 3
 
10.3%
0.53 3
 
10.3%
0.5294 5
17.2%
0.384 3
 
10.3%
0.0966 1
 
3.4%
0.077 1
 
3.4%
0.0 10
34.5%

2.03
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41910897
Minimum0
Maximum2.03
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:55.468558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.028
Q30.486
95-th percentile1.806
Maximum2.03
Range2.03
Interquartile range (IQR)0.486

Descriptive statistics

Standard deviation0.63609167
Coefficient of variation (CV)1.5177238
Kurtosis1.1911042
Mean0.41910897
Median Absolute Deviation (MAD)0.028
Skewness1.5363044
Sum12.15416
Variance0.40461262
MonotonicityNot monotonic
2023-12-10T15:14:55.759828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 11
37.9%
0.0021 3
 
10.3%
0.486 3
 
10.3%
0.19 3
 
10.3%
1.28 3
 
10.3%
2.03 2
 
6.9%
0.028 1
 
3.4%
0.24486 1
 
3.4%
1.47 1
 
3.4%
0.477 1
 
3.4%
ValueCountFrequency (%)
0.0 11
37.9%
0.0021 3
 
10.3%
0.028 1
 
3.4%
0.19 3
 
10.3%
0.24486 1
 
3.4%
0.477 1
 
3.4%
0.486 3
 
10.3%
1.28 3
 
10.3%
1.47 1
 
3.4%
2.03 2
 
6.9%
ValueCountFrequency (%)
2.03 2
 
6.9%
1.47 1
 
3.4%
1.28 3
 
10.3%
0.486 3
 
10.3%
0.477 1
 
3.4%
0.24486 1
 
3.4%
0.19 3
 
10.3%
0.028 1
 
3.4%
0.0021 3
 
10.3%
0.0 11
37.9%

0.28
Real number (ℝ)

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45249117
Minimum0.00342
Maximum1.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:55.948509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00342
5-th percentile0.00342
Q10.12
median0.35854
Q30.5235
95-th percentile1.841
Maximum1.841
Range1.83758
Interquartile range (IQR)0.4035

Descriptive statistics

Standard deviation0.52239543
Coefficient of variation (CV)1.1544876
Kurtosis3.4322131
Mean0.45249117
Median Absolute Deviation (MAD)0.19362
Skewness1.9977609
Sum13.122244
Variance0.27289698
MonotonicityNot monotonic
2023-12-10T15:14:56.147449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.35854 5
17.2%
0.226 3
10.3%
0.00342 3
10.3%
0.5235 3
10.3%
0.055 3
10.3%
1.841 3
10.3%
0.671 3
10.3%
0.28 2
 
6.9%
0.16492 1
 
3.4%
0.042364 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.00342 3
10.3%
0.042364 1
 
3.4%
0.055 3
10.3%
0.12 1
 
3.4%
0.16492 1
 
3.4%
0.226 3
10.3%
0.28 2
 
6.9%
0.35854 5
17.2%
0.4825 1
 
3.4%
0.5235 3
10.3%
ValueCountFrequency (%)
1.841 3
10.3%
0.671 3
10.3%
0.5235 3
10.3%
0.4825 1
 
3.4%
0.35854 5
17.2%
0.28 2
 
6.9%
0.226 3
10.3%
0.16492 1
 
3.4%
0.12 1
 
3.4%
0.055 3
10.3%

0.11
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10981052
Minimum0
Maximum0.365
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:56.322502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.061
Q30.146
95-th percentile0.365
Maximum0.365
Range0.365
Interquartile range (IQR)0.146

Descriptive statistics

Standard deviation0.13527276
Coefficient of variation (CV)1.2318744
Kurtosis-0.3924063
Mean0.10981052
Median Absolute Deviation (MAD)0.061
Skewness1.0514575
Sum3.184505
Variance0.01829872
MonotonicityNot monotonic
2023-12-10T15:14:56.503435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
0.10492 5
17.2%
0.336 3
 
10.3%
0.011 3
 
10.3%
0.365 3
 
10.3%
0.146 3
 
10.3%
0.024905 1
 
3.4%
0.061 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.011 3
 
10.3%
0.024905 1
 
3.4%
0.061 1
 
3.4%
0.10492 5
17.2%
0.146 3
 
10.3%
0.336 3
 
10.3%
0.365 3
 
10.3%
ValueCountFrequency (%)
0.365 3
 
10.3%
0.336 3
 
10.3%
0.146 3
 
10.3%
0.10492 5
17.2%
0.061 1
 
3.4%
0.024905 1
 
3.4%
0.011 3
 
10.3%
0.0 10
34.5%

0.89
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4431375
Minimum0
Maximum7.02
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:56.688396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00063
median0.89
Q31.7
95-th percentile7.02
Maximum7.02
Range7.02
Interquartile range (IQR)1.69937

Descriptive statistics

Standard deviation2.0613173
Coefficient of variation (CV)1.4283582
Kurtosis3.8742726
Mean1.4431375
Median Absolute Deviation (MAD)0.81
Skewness2.1381139
Sum41.850988
Variance4.2490288
MonotonicityNot monotonic
2023-12-10T15:14:56.863488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 5
17.2%
1.7 5
17.2%
1.97 3
10.3%
0.00063 3
10.3%
1.031 3
10.3%
0.2 3
10.3%
7.02 3
10.3%
0.89 2
 
6.9%
0.196098 1
 
3.4%
0.71 1
 
3.4%
ValueCountFrequency (%)
0.0 5
17.2%
0.00063 3
10.3%
0.196098 1
 
3.4%
0.2 3
10.3%
0.71 1
 
3.4%
0.89 2
 
6.9%
1.031 3
10.3%
1.7 5
17.2%
1.97 3
10.3%
7.02 3
10.3%
ValueCountFrequency (%)
7.02 3
10.3%
1.97 3
10.3%
1.7 5
17.2%
1.031 3
10.3%
0.89 2
 
6.9%
0.71 1
 
3.4%
0.2 3
10.3%
0.196098 1
 
3.4%
0.00063 3
10.3%
0.0 5
17.2%

1.53
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89230497
Minimum0
Maximum5.2
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:57.053569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1076784
Q10.2165
median0.2495
Q30.932
95-th percentile5.2
Maximum5.2
Range5.2
Interquartile range (IQR)0.7155

Descriptive statistics

Standard deviation1.5396888
Coefficient of variation (CV)1.7255186
Kurtosis4.8266934
Mean0.89230497
Median Absolute Deviation (MAD)0.0365
Skewness2.4527957
Sum25.876844
Variance2.3706416
MonotonicityNot monotonic
2023-12-10T15:14:57.249153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.247824 5
17.2%
0.28 3
10.3%
0.1092 3
10.3%
0.2165 3
10.3%
5.2 3
10.3%
0.932 3
10.3%
0.286 3
10.3%
1.53 2
 
6.9%
0.106664 1
 
3.4%
0.15046 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.106664 1
 
3.4%
0.1092 3
10.3%
0.15046 1
 
3.4%
0.2165 3
10.3%
0.247824 5
17.2%
0.2495 1
 
3.4%
0.28 3
10.3%
0.286 3
10.3%
0.932 3
10.3%
ValueCountFrequency (%)
5.2 3
10.3%
1.53 2
 
6.9%
0.932 3
10.3%
0.286 3
10.3%
0.28 3
10.3%
0.2495 1
 
3.4%
0.247824 5
17.2%
0.2165 3
10.3%
0.15046 1
 
3.4%
0.1092 3
10.3%

12.46
Real number (ℝ)

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2727331
Minimum0.15
Maximum49.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:57.444972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.15
Q10.365
median2.4274
Q37.96
95-th percentile49.14
Maximum49.14
Range48.99
Interquartile range (IQR)7.595

Descriptive statistics

Standard deviation14.813732
Coefficient of variation (CV)1.7906696
Kurtosis4.4000463
Mean8.2727331
Median Absolute Deviation (MAD)2.2453
Skewness2.3348208
Sum239.90926
Variance219.44664
MonotonicityNot monotonic
2023-12-10T15:14:57.647602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2.4274 5
17.2%
7.96 4
13.8%
0.15 3
10.3%
0.1821 3
10.3%
0.365 3
10.3%
49.14 3
10.3%
1.25 3
10.3%
12.46 2
 
6.9%
0.5338 1
 
3.4%
0.30716 1
 
3.4%
ValueCountFrequency (%)
0.15 3
10.3%
0.1821 3
10.3%
0.30716 1
 
3.4%
0.365 3
10.3%
0.5338 1
 
3.4%
1.25 3
10.3%
2.4274 5
17.2%
7.96 4
13.8%
12.46 2
 
6.9%
16.91 1
 
3.4%
ValueCountFrequency (%)
49.14 3
10.3%
16.91 1
 
3.4%
12.46 2
 
6.9%
7.96 4
13.8%
2.4274 5
17.2%
1.25 3
10.3%
0.5338 1
 
3.4%
0.365 3
10.3%
0.30716 1
 
3.4%
0.1821 3
10.3%

0.12
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.861819
Minimum0
Maximum25.156
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:57.812190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.8954
Q33.059
95-th percentile25.156
Maximum25.156
Range25.156
Interquartile range (IQR)3.059

Descriptive statistics

Standard deviation7.4770008
Coefficient of variation (CV)1.9361345
Kurtosis5.4219034
Mean3.861819
Median Absolute Deviation (MAD)1.6106
Skewness2.5923795
Sum111.99275
Variance55.905541
MonotonicityNot monotonic
2023-12-10T15:14:57.981021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 10
34.5%
1.8954 5
17.2%
1.181 3
 
10.3%
3.506 3
 
10.3%
25.156 3
 
10.3%
3.059 3
 
10.3%
0.31975 1
 
3.4%
3.49 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.31975 1
 
3.4%
1.181 3
 
10.3%
1.8954 5
17.2%
3.059 3
 
10.3%
3.49 1
 
3.4%
3.506 3
 
10.3%
25.156 3
 
10.3%
ValueCountFrequency (%)
25.156 3
 
10.3%
3.506 3
 
10.3%
3.49 1
 
3.4%
3.059 3
 
10.3%
1.8954 5
17.2%
1.181 3
 
10.3%
0.31975 1
 
3.4%
0.0 10
34.5%

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

2023-12-10T15:14:58.163590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:58.320532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 29
100.0%

0.43
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.261897
Minimum0
Maximum105.2
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:58.460981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.43
median11.646
Q312.48
95-th percentile105.2
Maximum105.2
Range105.2
Interquartile range (IQR)12.05

Descriptive statistics

Standard deviation31.270919
Coefficient of variation (CV)1.9229565
Kurtosis5.3778486
Mean16.261897
Median Absolute Deviation (MAD)10.65
Skewness2.5781434
Sum471.595
Variance977.87039
MonotonicityNot monotonic
2023-12-10T15:14:58.651464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 7
24.1%
11.646 5
17.2%
12.48 3
10.3%
12.54 3
10.3%
0.996 3
10.3%
105.2 3
10.3%
0.43 2
 
6.9%
2.0325 1
 
3.4%
2.0045 1
 
3.4%
14.82 1
 
3.4%
ValueCountFrequency (%)
0.0 7
24.1%
0.43 2
 
6.9%
0.996 3
10.3%
2.0045 1
 
3.4%
2.0325 1
 
3.4%
11.646 5
17.2%
12.48 3
10.3%
12.54 3
10.3%
14.82 1
 
3.4%
105.2 3
10.3%
ValueCountFrequency (%)
105.2 3
10.3%
14.82 1
 
3.4%
12.54 3
10.3%
12.48 3
10.3%
11.646 5
17.2%
2.0325 1
 
3.4%
2.0045 1
 
3.4%
0.996 3
10.3%
0.43 2
 
6.9%
0.0 7
24.1%

0.08
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5293752
Minimum0
Maximum10.7445
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:58.824351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08
median2.531
Q38.887
95-th percentile10.7445
Maximum10.7445
Range10.7445
Interquartile range (IQR)8.807

Descriptive statistics

Standard deviation4.2926184
Coefficient of variation (CV)1.2162545
Kurtosis-1.0020548
Mean3.5293752
Median Absolute Deviation (MAD)2.528
Skewness0.85409654
Sum102.35188
Variance18.426573
MonotonicityNot monotonic
2023-12-10T15:14:59.007137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10.7445 5
17.2%
0.0 4
13.8%
8.887 3
10.3%
0.003 3
10.3%
0.14 3
10.3%
2.771 3
10.3%
3.335 3
10.3%
0.08 2
 
6.9%
0.21893 1
 
3.4%
0.31145 1
 
3.4%
ValueCountFrequency (%)
0.0 4
13.8%
0.003 3
10.3%
0.08 2
6.9%
0.14 3
10.3%
0.21893 1
 
3.4%
0.31145 1
 
3.4%
2.531 1
 
3.4%
2.771 3
10.3%
3.335 3
10.3%
8.887 3
10.3%
ValueCountFrequency (%)
10.7445 5
17.2%
8.887 3
10.3%
3.335 3
10.3%
2.771 3
10.3%
2.531 1
 
3.4%
0.31145 1
 
3.4%
0.21893 1
 
3.4%
0.14 3
10.3%
0.08 2
 
6.9%
0.003 3
10.3%

0.06
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55429793
Minimum0
Maximum1.484
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:59.166211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04332
median0.459
Q30.975
95-th percentile1.484
Maximum1.484
Range1.484
Interquartile range (IQR)0.93168

Descriptive statistics

Standard deviation0.5439217
Coefficient of variation (CV)0.98128042
Kurtosis-0.96436063
Mean0.55429793
Median Absolute Deviation (MAD)0.459
Skewness0.62139369
Sum16.07464
Variance0.29585082
MonotonicityNot monotonic
2023-12-10T15:14:59.372896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 7
24.1%
1.484 5
17.2%
0.975 3
10.3%
0.232 3
10.3%
0.765 3
10.3%
0.459 3
10.3%
0.06 2
 
6.9%
0.04332 1
 
3.4%
0.76432 1
 
3.4%
0.434 1
 
3.4%
ValueCountFrequency (%)
0.0 7
24.1%
0.04332 1
 
3.4%
0.06 2
 
6.9%
0.232 3
10.3%
0.434 1
 
3.4%
0.459 3
10.3%
0.76432 1
 
3.4%
0.765 3
10.3%
0.975 3
10.3%
1.484 5
17.2%
ValueCountFrequency (%)
1.484 5
17.2%
0.975 3
10.3%
0.765 3
10.3%
0.76432 1
 
3.4%
0.459 3
10.3%
0.434 1
 
3.4%
0.232 3
10.3%
0.06 2
 
6.9%
0.04332 1
 
3.4%
0.0 7
24.1%

0.31
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5020172
Minimum0
Maximum4.095
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:59.538153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02648
median0.92402
Q33.797
95-th percentile4.095
Maximum4.095
Range4.095
Interquartile range (IQR)3.77052

Descriptive statistics

Standard deviation1.5902151
Coefficient of variation (CV)1.0587196
Kurtosis-1.1271149
Mean1.5020172
Median Absolute Deviation (MAD)0.92402
Skewness0.75885309
Sum43.5585
Variance2.5287839
MonotonicityNot monotonic
2023-12-10T15:14:59.655071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 7
24.1%
3.797 5
17.2%
4.095 3
10.3%
0.574 3
10.3%
1.251 3
10.3%
1.451 3
10.3%
0.31 2
 
6.9%
0.02648 1
 
3.4%
0.92402 1
 
3.4%
0.89 1
 
3.4%
ValueCountFrequency (%)
0.0 7
24.1%
0.02648 1
 
3.4%
0.31 2
 
6.9%
0.574 3
10.3%
0.89 1
 
3.4%
0.92402 1
 
3.4%
1.251 3
10.3%
1.451 3
10.3%
3.797 5
17.2%
4.095 3
10.3%
ValueCountFrequency (%)
4.095 3
10.3%
3.797 5
17.2%
1.451 3
10.3%
1.251 3
10.3%
0.92402 1
 
3.4%
0.89 1
 
3.4%
0.574 3
10.3%
0.31 2
 
6.9%
0.02648 1
 
3.4%
0.0 7
24.1%

0.14
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6068824
Minimum0
Maximum5.438
Zeros9
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:14:59.820971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.755
Q33.817
95-th percentile5.438
Maximum5.438
Range5.438
Interquartile range (IQR)3.817

Descriptive statistics

Standard deviation2.1220908
Coefficient of variation (CV)1.3206261
Kurtosis-0.6412182
Mean1.6068824
Median Absolute Deviation (MAD)0.755
Skewness1.022337
Sum46.59959
Variance4.5032694
MonotonicityNot monotonic
2023-12-10T15:15:00.011087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 9
31.0%
5.438 5
17.2%
3.817 3
 
10.3%
0.003 3
 
10.3%
0.755 3
 
10.3%
1.425 3
 
10.3%
0.14788 1
 
3.4%
0.00471 1
 
3.4%
1.257 1
 
3.4%
ValueCountFrequency (%)
0.0 9
31.0%
0.003 3
 
10.3%
0.00471 1
 
3.4%
0.14788 1
 
3.4%
0.755 3
 
10.3%
1.257 1
 
3.4%
1.425 3
 
10.3%
3.817 3
 
10.3%
5.438 5
17.2%
ValueCountFrequency (%)
5.438 5
17.2%
3.817 3
 
10.3%
1.425 3
 
10.3%
1.257 1
 
3.4%
0.755 3
 
10.3%
0.14788 1
 
3.4%
0.00471 1
 
3.4%
0.003 3
 
10.3%
0.0 9
31.0%

387.8
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.916302
Minimum0
Maximum387.8
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:00.199047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.002
Q30.0255
95-th percentile370.32
Maximum387.8
Range387.8
Interquartile range (IQR)0.0255

Descriptive statistics

Standard deviation114.91475
Coefficient of variation (CV)2.5584198
Kurtosis5.7227963
Mean44.916302
Median Absolute Deviation (MAD)0.002
Skewness2.6649852
Sum1302.5728
Variance13205.401
MonotonicityNot monotonic
2023-12-10T15:15:00.380947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 13
44.8%
0.0255 5
 
17.2%
37.9 3
 
10.3%
0.002 3
 
10.3%
387.8 2
 
6.9%
0.00125 1
 
3.4%
69.038 1
 
3.4%
344.1 1
 
3.4%
ValueCountFrequency (%)
0.0 13
44.8%
0.00125 1
 
3.4%
0.002 3
 
10.3%
0.0255 5
 
17.2%
37.9 3
 
10.3%
69.038 1
 
3.4%
344.1 1
 
3.4%
387.8 2
 
6.9%
ValueCountFrequency (%)
387.8 2
 
6.9%
344.1 1
 
3.4%
69.038 1
 
3.4%
37.9 3
 
10.3%
0.0255 5
 
17.2%
0.002 3
 
10.3%
0.00125 1
 
3.4%
0.0 13
44.8%

746.2
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.17024
Minimum0
Maximum746.2
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:00.543250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160.3
median72.5
Q3118.53
95-th percentile695.12
Maximum746.2
Range746.2
Interquartile range (IQR)58.23

Descriptive statistics

Standard deviation231.87436
Coefficient of variation (CV)1.3087658
Kurtosis1.1101452
Mean177.17024
Median Absolute Deviation (MAD)46.03
Skewness1.5998705
Sum5137.937
Variance53765.718
MonotonicityNot monotonic
2023-12-10T15:15:00.708057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
72.5 5
17.2%
25.0 3
10.3%
0.0 3
10.3%
118.53 3
10.3%
60.3 3
10.3%
510.48 3
10.3%
75.38 3
10.3%
746.2 2
 
6.9%
22.752 1
 
3.4%
106.145 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
22.752 1
 
3.4%
25.0 3
10.3%
60.3 3
10.3%
72.5 5
17.2%
75.38 3
10.3%
106.145 1
 
3.4%
118.53 3
10.3%
166.57 1
 
3.4%
510.48 3
10.3%
ValueCountFrequency (%)
746.2 2
 
6.9%
618.5 1
 
3.4%
510.48 3
10.3%
166.57 1
 
3.4%
118.53 3
10.3%
106.145 1
 
3.4%
75.38 3
10.3%
72.5 5
17.2%
60.3 3
10.3%
25.0 3
10.3%

280.2
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.04807
Minimum0
Maximum987.68
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:00.873371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.5
median132.35
Q3178.4
95-th percentile987.68
Maximum987.68
Range987.68
Interquartile range (IQR)128.9

Descriptive statistics

Standard deviation281.55725
Coefficient of variation (CV)1.3798575
Kurtosis4.6894879
Mean204.04807
Median Absolute Deviation (MAD)82.85
Skewness2.3814433
Sum5917.394
Variance79274.487
MonotonicityNot monotonic
2023-12-10T15:15:01.039756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
132.35 5
17.2%
41.4 3
10.3%
0.0 3
10.3%
178.4 3
10.3%
49.5 3
10.3%
987.68 3
10.3%
139.36 3
10.3%
280.2 2
 
6.9%
42.461 1
 
3.4%
72.273 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
41.4 3
10.3%
42.461 1
 
3.4%
49.5 3
10.3%
72.273 1
 
3.4%
132.35 5
17.2%
139.36 3
10.3%
140.6 1
 
3.4%
178.4 3
10.3%
250.89 1
 
3.4%
ValueCountFrequency (%)
987.68 3
10.3%
280.2 2
 
6.9%
250.89 1
 
3.4%
178.4 3
10.3%
140.6 1
 
3.4%
139.36 3
10.3%
132.35 5
17.2%
72.273 1
 
3.4%
49.5 3
10.3%
42.461 1
 
3.4%

169.5
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.36317
Minimum0
Maximum616.23
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:01.197101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.77
median77.2
Q3151.2
95-th percentile616.23
Maximum616.23
Range616.23
Interquartile range (IQR)127.43

Descriptive statistics

Standard deviation179.13841
Coefficient of variation (CV)1.3533856
Kurtosis3.8277848
Mean132.36317
Median Absolute Deviation (MAD)59.5
Skewness2.1624165
Sum3838.532
Variance32090.571
MonotonicityNot monotonic
2023-12-10T15:15:01.356111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
77.2 5
17.2%
33.1 3
10.3%
0.0 3
10.3%
151.2 3
10.3%
17.7 3
10.3%
616.23 3
10.3%
78.84 3
10.3%
169.5 2
 
6.9%
23.77 1
 
3.4%
11.292 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
11.292 1
 
3.4%
17.7 3
10.3%
23.77 1
 
3.4%
33.1 3
10.3%
77.2 5
17.2%
78.84 3
10.3%
113.0 1
 
3.4%
151.2 3
10.3%
169.5 2
 
6.9%
ValueCountFrequency (%)
616.23 3
10.3%
274.26 1
 
3.4%
169.5 2
 
6.9%
151.2 3
10.3%
113.0 1
 
3.4%
78.84 3
10.3%
77.2 5
17.2%
33.1 3
10.3%
23.77 1
 
3.4%
17.7 3
10.3%

405
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.119034
Minimum0
Maximum405
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:01.524180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.8
median38.92
Q365.102
95-th percentile385.44
Maximum405
Range405
Interquartile range (IQR)35.302

Descriptive statistics

Standard deviation136.03748
Coefficient of variation (CV)1.3724658
Kurtosis0.56001005
Mean99.119034
Median Absolute Deviation (MAD)26.182
Skewness1.5115393
Sum2874.452
Variance18506.197
MonotonicityNot monotonic
2023-12-10T15:15:01.715337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
29.8 5
17.2%
7.9 3
10.3%
0.0 3
10.3%
52.88 3
10.3%
47.2 3
10.3%
323.73 3
10.3%
38.92 3
10.3%
405.0 2
 
6.9%
9.94 1
 
3.4%
65.102 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
7.9 3
10.3%
9.94 1
 
3.4%
29.8 5
17.2%
38.92 3
10.3%
47.2 3
10.3%
52.88 3
10.3%
65.102 1
 
3.4%
72.42 1
 
3.4%
323.73 3
10.3%
ValueCountFrequency (%)
405.0 2
 
6.9%
356.1 1
 
3.4%
323.73 3
10.3%
72.42 1
 
3.4%
65.102 1
 
3.4%
52.88 3
10.3%
47.2 3
10.3%
38.92 3
10.3%
29.8 5
17.2%
9.94 1
 
3.4%

2021-01-21
Categorical

CONSTANT 

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

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T15:15:01.901705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:02.046182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-21 29
100.0%

299.4
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.84969
Minimum0
Maximum541.55
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:02.186083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139.4
median79.65
Q3105.69
95-th percentile541.55
Maximum541.55
Range541.55
Interquartile range (IQR)66.29

Descriptive statistics

Standard deviation159.64527
Coefficient of variation (CV)1.2108126
Kurtosis2.6365562
Mean131.84969
Median Absolute Deviation (MAD)40.25
Skewness1.8889741
Sum3823.641
Variance25486.613
MonotonicityNot monotonic
2023-12-10T15:15:02.365805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
79.65 5
17.2%
23.9 3
10.3%
0.0 3
10.3%
105.69 3
10.3%
39.4 3
10.3%
541.55 3
10.3%
95.8 3
10.3%
299.4 2
 
6.9%
24.423 1
 
3.4%
54.978 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
23.9 3
10.3%
24.423 1
 
3.4%
39.4 3
10.3%
54.978 1
 
3.4%
79.65 5
17.2%
95.8 3
10.3%
105.69 3
10.3%
132.0 1
 
3.4%
196.17 1
 
3.4%
ValueCountFrequency (%)
541.55 3
10.3%
299.4 2
 
6.9%
196.17 1
 
3.4%
132.0 1
 
3.4%
105.69 3
10.3%
95.8 3
10.3%
79.65 5
17.2%
54.978 1
 
3.4%
39.4 3
10.3%
24.423 1
 
3.4%

80.1
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.902207
Minimum0
Maximum466.97
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:02.557997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.408
median66.05
Q380.1
95-th percentile466.97
Maximum466.97
Range466.97
Interquartile range (IQR)55.692

Descriptive statistics

Standard deviation134.5015
Coefficient of variation (CV)1.4323572
Kurtosis4.5869456
Mean93.902207
Median Absolute Deviation (MAD)36.45
Skewness2.3568607
Sum2723.164
Variance18090.653
MonotonicityNot monotonic
2023-12-10T15:15:02.728430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
66.05 5
17.2%
29.6 3
10.3%
0.0 3
10.3%
96.55 3
10.3%
8.9 3
10.3%
466.97 3
10.3%
68.58 3
10.3%
80.1 2
 
6.9%
24.408 1
 
3.4%
5.046 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
5.046 1
 
3.4%
8.9 3
10.3%
24.408 1
 
3.4%
26.7 1
 
3.4%
29.6 3
10.3%
66.05 5
17.2%
68.58 3
10.3%
80.1 2
 
6.9%
96.55 3
10.3%
ValueCountFrequency (%)
466.97 3
10.3%
164.76 1
 
3.4%
96.55 3
10.3%
80.1 2
 
6.9%
68.58 3
10.3%
66.05 5
17.2%
29.6 3
10.3%
26.7 1
 
3.4%
24.408 1
 
3.4%
8.9 3
10.3%

459.4
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.013414
Minimum0
Maximum535.4
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:02.897359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.25
median24.4
Q342.18
95-th percentile459.4
Maximum535.4
Range535.4
Interquartile range (IQR)17.93

Descriptive statistics

Standard deviation143.21457
Coefficient of variation (CV)1.9091861
Kurtosis5.9962893
Mean75.013414
Median Absolute Deviation (MAD)17.2
Skewness2.7061442
Sum2175.389
Variance20510.413
MonotonicityNot monotonic
2023-12-10T15:15:03.069096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
24.25 5
17.2%
7.2 3
10.3%
0.0 3
10.3%
42.18 3
10.3%
48.8 3
10.3%
39.99 3
10.3%
24.4 3
10.3%
459.4 2
 
6.9%
4.921 1
 
3.4%
73.428 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
4.921 1
 
3.4%
7.2 3
10.3%
24.25 5
17.2%
24.4 3
10.3%
33.88 1
 
3.4%
39.99 3
10.3%
42.18 3
10.3%
48.8 3
10.3%
73.428 1
 
3.4%
ValueCountFrequency (%)
535.4 1
 
3.4%
459.4 2
 
6.9%
73.428 1
 
3.4%
48.8 3
10.3%
42.18 3
10.3%
39.99 3
10.3%
33.88 1
 
3.4%
24.4 3
10.3%
24.25 5
17.2%
7.2 3
10.3%

222.4
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.84431
Minimum0
Maximum660.92
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:03.228410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.1
median87.7
Q3153.41
95-th percentile660.92
Maximum660.92
Range660.92
Interquartile range (IQR)120.31

Descriptive statistics

Standard deviation189.24986
Coefficient of variation (CV)1.2976156
Kurtosis4.0337156
Mean145.84431
Median Absolute Deviation (MAD)56.967
Skewness2.1996847
Sum4229.485
Variance35815.509
MonotonicityNot monotonic
2023-12-10T15:15:03.441389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
87.7 5
17.2%
33.9 3
10.3%
0.0 3
10.3%
153.41 3
10.3%
33.1 3
10.3%
660.92 3
10.3%
95.3 3
10.3%
222.4 2
 
6.9%
30.733 1
 
3.4%
27.132 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
27.132 1
 
3.4%
30.733 1
 
3.4%
33.1 3
10.3%
33.9 3
10.3%
87.7 5
17.2%
95.3 3
10.3%
153.2 1
 
3.4%
153.41 3
10.3%
205.23 1
 
3.4%
ValueCountFrequency (%)
660.92 3
10.3%
222.4 2
 
6.9%
205.23 1
 
3.4%
153.41 3
10.3%
153.2 1
 
3.4%
95.3 3
10.3%
87.7 5
17.2%
33.9 3
10.3%
33.1 3
10.3%
30.733 1
 
3.4%

683.8
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.81645
Minimum0
Maximum683.8
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:03.625158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141.2
median56.18
Q397.43
95-th percentile615.88
Maximum683.8
Range683.8
Interquartile range (IQR)56.23

Descriptive statistics

Standard deviation205.28632
Coefficient of variation (CV)1.3794599
Kurtosis1.6924161
Mean148.81645
Median Absolute Deviation (MAD)35.58
Skewness1.7194635
Sum4315.677
Variance42142.472
MonotonicityNot monotonic
2023-12-10T15:15:03.802796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
41.2 5
17.2%
20.6 3
10.3%
0.0 3
10.3%
97.43 3
10.3%
74.1 3
10.3%
423.5 3
10.3%
56.18 3
10.3%
683.8 2
 
6.9%
12.401 1
 
3.4%
85.406 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 3
10.3%
12.401 1
 
3.4%
20.6 3
10.3%
41.2 5
17.2%
56.18 3
10.3%
74.1 3
10.3%
85.406 1
 
3.4%
97.43 3
10.3%
114.84 1
 
3.4%
423.5 3
10.3%
ValueCountFrequency (%)
683.8 2
 
6.9%
514.0 1
 
3.4%
423.5 3
10.3%
114.84 1
 
3.4%
97.43 3
10.3%
85.406 1
 
3.4%
74.1 3
10.3%
56.18 3
10.3%
41.2 5
17.2%
20.6 3
10.3%

2.1
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2
11 
1
10 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 11
37.9%
1 10
34.5%
3 8
27.6%

Length

2023-12-10T15:15:04.012949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:04.525891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 11
37.9%
1 10
34.5%
3 8
27.6%

AF001010120250
Categorical

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
AF001110120910
AF001110120430
AF001150110940
AF001040110120
AF001090140380
Other values (7)
12 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st rowAF001010120250
2nd rowAF001010120250
3rd rowAF001110120430
4th rowAF001110120430
5th rowAF001110120430

Common Values

ValueCountFrequency (%)
AF001110120910 5
17.2%
AF001110120430 3
10.3%
AF001150110940 3
10.3%
AF001040110120 3
10.3%
AF001090140380 3
10.3%
AF001040110250 3
10.3%
AF001110120220 3
10.3%
AF001010120250 2
 
6.9%
AF001120110010 1
 
3.4%
AF001150110190 1
 
3.4%
Other values (2) 2
 
6.9%

Length

2023-12-10T15:15:04.684026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
af001110120910 5
17.2%
af001110120430 3
10.3%
af001150110940 3
10.3%
af001040110120 3
10.3%
af001090140380 3
10.3%
af001040110250 3
10.3%
af001110120220 3
10.3%
af001010120250 2
 
6.9%
af001120110010 1
 
3.4%
af001150110190 1
 
3.4%
Other values (2) 2
 
6.9%

Sample

54481001am48AFS0011밥류잡곡밥1공기210352.576.310.70.34207.836.870.13.4414.340.820.610.25.63*0.30.790.80.40.180.031.630.1352.260.5임신출산1.222.2715.213.80.6159.43.90.9253.614.3X2.161.780.102.030.280.110.891.5312.460.12X.10.430.080.060.310.14387.8746.2280.2169.54052021-01-21299.480.1459.4222.4683.82.1AF001010120250
054481002am48AFS0011밥류잡곡밥1공기210352.576.310.70.3420.07.836.870.03.4414.340.820.610.05.63*0.00.790.80.00.180.031.630.1352.260.0임신출산1.222.2715.213.80.0159.43.90.0253.614.3X2.161.780.02.030.280.00.891.5312.460.0X0.430.080.060.310.0387.8746.2280.2169.5405.02021-01-21299.480.1459.4222.4683.82AF001010120250
154481003am48AFS0011밥류잡곡밥1공기210352.576.310.70.3420.07.836.870.03.4414.340.820.610.05.63*0.00.790.80.00.180.031.630.1352.260.0임신출산1.222.2715.213.80.0159.43.90.0253.614.3X2.161.780.02.030.280.00.891.5312.460.0X0.430.080.060.310.0387.8746.2280.2169.5405.02021-01-21299.480.1459.4222.4683.82AF001010120250
254481004am48AFS00111"나물무침류"야채샐러드1접시110.0118.488.4799.29729.2570.01.5570.4770.02.34102.8110.776164.792.473*1002.380.01.27935.14614.210.020.020.4830.0225.416임신출산0.0390.3561.19636.5312.330.039.5979.2311.6242.63X12.90.5840.3840.00.2260.01.970.280.151.181X12.488.8870.9754.0953.8170.025.041.433.17.92021-01-2123.929.67.233.920.62AF001110120430
354481005am48AFS00111"나물무침류"야채샐러드1접시110.0118.488.4799.29729.2570.01.5570.4770.02.34102.8110.776164.792.473*1002.380.01.27935.14614.210.020.020.4830.0225.416임신출산0.0390.3561.19636.5312.330.039.5979.2311.6242.63X12.90.5840.3840.00.2260.01.970.280.151.181X12.488.8870.9754.0953.8170.025.041.433.17.92021-01-2123.929.67.233.920.62AF001110120430
454481006am48AFS00111"나물무침류"야채샐러드1접시110.0118.488.4799.29729.2570.01.5570.4770.02.34102.8110.776164.792.473*1002.380.01.27935.14614.210.020.020.4830.0225.416임신출산0.0390.3561.19636.5312.330.039.5979.2311.6242.63X12.90.5840.3840.00.2260.01.970.280.151.181X12.488.8870.9754.0953.8170.025.041.433.17.92021-01-2123.929.67.233.920.62AF001110120430
554481007am48AFS00115앙념류딸기잼1종지40108.20314332.82060.06420.004220.00.24840.00840.00.008428.84050.12630.0210.00.1263*0.00.00210.022.350.009840.006420.15210.001050.2730.0임신출산0.0021630.00633.1471.0470.09.1894.5420.113453.10.126X0.21210.09210.00.00210.003420.3360.000630.10920.18210.0X0.00.00.00.00.00.00.00.00.00.02021-01-210.00.00.00.00.02AF001150110940
654481008am48AFS00115앙념류딸기잼1종지40108.20314332.82060.06420.004220.00.24840.00840.00.008428.84050.12630.0210.00.1263*0.00.00210.022.350.009840.006420.15210.001050.2730.0임신출산0.0021630.00633.1471.0470.09.1894.5420.113453.10.126X0.21210.09210.00.00210.003420.3360.000630.10920.18210.0X0.00.00.00.00.00.00.00.00.00.02021-01-210.00.00.00.00.02AF001150110940
754481009am48AFS00115앙념류딸기잼1종지40108.20314332.82060.06420.004220.00.24840.00840.00.008428.84050.12630.0210.00.1263*0.00.00210.022.350.009840.006420.15210.001050.2730.0임신출산0.0021630.00633.1471.0470.09.1894.5420.113453.10.126X0.21210.09210.00.00210.003420.3360.000630.10920.18210.0X0.00.00.00.00.00.00.00.00.00.02021-01-210.00.00.00.00.02AF001150110940
854481010am48AFS0014"국탕류"김치국1대접75.021.932.910.60320.3090.2942.7211.2991.4221.93758.6322.634532.860.03*197.250.00.4537.8149.310.0680.0690.9010.13476.494임신출산1.2390.0120.088.0830.9357.1580.36881.993.325227.1X0.941.0160.530.4860.52350.0110.00.21657.963.506X12.540.0030.00.00.0030.0118.53178.4151.252.882021-01-21105.6996.5542.18153.4197.432AF001040110120
954481011am48AFS0014"국탕류"김치국1대접75.021.932.910.60320.3090.2942.7211.2991.4221.93758.6322.634532.860.03*197.250.00.4537.8149.310.0680.0690.9010.13476.494임신출산1.2390.0120.088.0830.9357.1580.36881.993.325227.1X0.941.0160.530.4860.52350.0110.00.21657.963.506X12.540.0030.00.00.0030.0118.53178.4151.252.882021-01-21105.6996.5542.18153.4197.432AF001040110120
54481001am48AFS0011밥류잡곡밥1공기210352.576.310.70.34207.836.870.13.4414.340.820.610.25.63*0.30.790.80.40.180.031.630.1352.260.5임신출산1.222.2715.213.80.6159.43.90.9253.614.3X2.161.780.102.030.280.110.891.5312.460.12X.10.430.080.060.310.14387.8746.2280.2169.54052021-01-21299.480.1459.4222.4683.82.1AF001010120250
1954481021am48AFS0011밥류쌀밥1공기210362.179.361.371.0920.06.976.240.01.8211.330.970.00.00.03*0.00.620.00.00.160.052.790.2522.010.0임신출산0.60.05.94.40.0204.465.10.0233.70.0X0.610.480.01.470.120.00.710.016.910.0X0.00.00.00.00.0344.1618.5140.6113.0356.12021-01-21132.026.7535.4153.2514.01AF001010110020
2054481022am48AFS0014"국탕류"콩나물국1대접200.045.152.6292.86322.010.1533.6210.1541.1670.92950.9512.38655.320.03*34.90.01.0442.0862.080.060.0610.7270.01935.764임신출산1.2390.1660.068.25.538.789.17530.669.375163.77X17.40.9040.0770.4770.48250.0610.00.24957.963.49X14.822.5310.4340.891.2570.0166.57250.89274.2672.422021-01-21196.17164.7633.88205.23114.841AF001040110570
2154481023am48AFS00111"나물무침류"딸기그린샐러드1접시70.073.049.4013.77820.6420.03.4181.6580.02.67797.1861.219156.020.03*1241.720.01.841110.13263.030.1440.1350.7130.099131.609임신출산0.00.2283.98266.7452.720.095.5675.6922.24375.37X42.433.2182.8320.00.6710.1467.020.2861.253.059X0.03.3350.4591.4511.4250.00275.38139.3678.8438.922021-01-2195.868.5824.495.356.183AF001110120220
2254481024am48AFS00111"나물무침류"딸기그린샐러드1접시70.073.049.4013.77820.6420.03.4181.6580.02.67797.1861.219156.020.03*1241.720.01.841110.13263.030.1440.1350.7130.099131.609임신출산0.00.2283.98266.7452.720.095.5675.6922.24375.37X42.433.2182.8320.00.6710.1467.020.2861.253.059X0.03.3350.4591.4511.4250.00275.38139.3678.8438.922021-01-2195.868.5824.495.356.183AF001110120220
2354481025am48AFS00111"나물무침류"딸기그린샐러드1접시70.073.049.4013.77820.6420.03.4181.6580.02.67797.1861.219156.020.03*1241.720.01.841110.13263.030.1440.1350.7130.099131.609임신출산0.00.2283.98266.7452.720.095.5675.6922.24375.37X42.433.2182.8320.00.6710.1467.020.2861.253.059X0.03.3350.4591.4511.4250.00275.38139.3678.8438.922021-01-2195.868.5824.495.356.183AF001110120220
2454481026am48AFS00111"나물무침류"사과샐러드1접시100.0161.96215.62611.2052210.60820.02.36161.27260.02.45416115.14081.0474.81910.753*222.4140.01.9205621.85579.0780.037170.075390.47370.0796824.72임신출산0.06350.099653.633556.9929.4420.055.484155.1363.24238.926X5.850.61790.52940.00.358540.104921.70.2478242.42741.8954X11.64610.74451.4843.7975.4380.025572.5132.3577.229.82021-01-2179.6566.0524.2587.741.23AF001110120910
2554481027am48AFS00111"나물무침류"사과샐러드1접시100.0161.96215.62611.2052210.60820.02.36161.27260.02.45416115.14081.0474.81910.753*222.4140.01.9205621.85579.0780.037170.075390.47370.0796824.72임신출산0.06350.099653.633556.9929.4420.055.484155.1363.24238.926X5.850.61790.52940.00.358540.104921.70.2478242.42741.8954X11.64610.74451.4843.7975.4380.025572.5132.3577.229.82021-01-2179.6566.0524.2587.741.23AF001110120910
2654481028am48AFS00111"나물무침류"사과샐러드1접시100.0161.96215.62611.2052210.60820.02.36161.27260.02.45416115.14081.0474.81910.753*222.4140.01.9205621.85579.0780.037170.075390.47370.0796824.72임신출산0.06350.099653.633556.9929.4420.055.484155.1363.24238.926X5.850.61790.52940.00.358540.104921.70.2478242.42741.8954X11.64610.74451.4843.7975.4380.025572.5132.3577.229.82021-01-2179.6566.0524.2587.741.23AF001110120910
2754481029am48AFS00111"나물무침류"사과샐러드1접시100.0161.96215.62611.2052210.60820.02.36161.27260.02.45416115.14081.0474.81910.753*222.4140.01.9205621.85579.0780.037170.075390.47370.0796824.72임신출산0.06350.099653.633556.9929.4420.055.484155.1363.24238.926X5.850.61790.52940.00.358540.104921.70.2478242.42741.8954X11.64610.74451.4843.7975.4380.025572.5132.3577.229.82021-01-2179.6566.0524.2587.741.23AF001110120910
2854481030am48AFS00111"나물무침류"사과샐러드1접시100.0161.96215.62611.2052210.60820.02.36161.27260.02.45416115.14081.0474.81910.753*222.4140.01.9205621.85579.0780.037170.075390.47370.0796824.72임신출산0.06350.099653.633556.9929.4420.055.484155.1363.24238.926X5.850.61790.52940.00.358540.104921.70.2478242.42741.8954X11.64610.74451.4843.7975.4380.025572.5132.3577.229.82021-01-2179.6566.0524.2587.741.23AF001110120910