Overview

Dataset statistics

Number of variables62
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory561.6 B

Variable types

Categorical16
Numeric46

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000027

Alerts

0 has constant value ""Constant
0.6 has constant value ""Constant
0.8 has constant value ""Constant
0.17 has constant value ""Constant
0.20 has constant value ""Constant
0.26 has constant value ""Constant
0.29 has constant value ""Constant
0.33 has constant value ""Constant
0.39 has constant value ""Constant
0.51 has constant value ""Constant
0.15 is highly imbalanced (52.4%)Imbalance
0.36 is highly imbalanced (63.2%)Imbalance
0.1 has 8 (27.6%) zerosZeros
0.2 has 4 (13.8%) zerosZeros
0.3 has 2 (6.9%) zerosZeros
0.4 has 22 (75.9%) zerosZeros
0.7 has 15 (51.7%) zerosZeros
0.9 has 15 (51.7%) zerosZeros
0.10 has 15 (51.7%) zerosZeros
0.11 has 16 (55.2%) zerosZeros
0.12 has 21 (72.4%) zerosZeros
0.14 has 5 (17.2%) zerosZeros
0.16 has 7 (24.1%) zerosZeros
0.18 has 17 (58.6%) zerosZeros
0.19 has 21 (72.4%) zerosZeros
0.02 has 1 (3.4%) zerosZeros
1.94 has 3 (10.3%) zerosZeros
0.02.1 has 11 (37.9%) zerosZeros
0.21 has 4 (13.8%) zerosZeros
0.01 has 1 (3.4%) zerosZeros
0.22 has 21 (72.4%) zerosZeros
0.02.2 has 1 (3.4%) zerosZeros
0.23 has 11 (37.9%) zerosZeros
0.24 has 5 (17.2%) zerosZeros
0.25 has 15 (51.7%) zerosZeros
0.5.1 has 3 (10.3%) zerosZeros
0.27 has 8 (27.6%) zerosZeros
0.30 has 12 (41.4%) zerosZeros
0.31 has 20 (69.0%) zerosZeros
0.32 has 10 (34.5%) zerosZeros
0.34 has 17 (58.6%) zerosZeros
0.37 has 14 (48.3%) zerosZeros
0.38 has 18 (62.1%) zerosZeros
0.40 has 7 (24.1%) zerosZeros
0.41 has 7 (24.1%) zerosZeros
0.42 has 7 (24.1%) zerosZeros
0.43 has 7 (24.1%) zerosZeros
0.44 has 7 (24.1%) zerosZeros
0.45 has 7 (24.1%) zerosZeros
0.46 has 8 (27.6%) zerosZeros
0.47 has 7 (24.1%) zerosZeros
0.48 has 22 (75.9%) zerosZeros
0.49 has 7 (24.1%) zerosZeros
0.50 has 7 (24.1%) zerosZeros
0.52 has 6 (20.7%) zerosZeros
0.53 has 16 (55.2%) zerosZeros

Reproduction

Analysis started2023-12-10 06:12:18.154032
Analysis finished2023-12-10 06:12:18.950548
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF006040140010
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
AF006110120010
AF006040140010
AF006040110010
AF006040110020
AF006060130010

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF006040140010
2nd rowAF006040140010
3rd rowAF006040140010
4th rowAF006040140010
5th rowAF006040140010

Common Values

ValueCountFrequency (%)
AF006110120010 7
24.1%
AF006040140010 6
20.7%
AF006040110010 6
20.7%
AF006040110020 6
20.7%
AF006060130010 4
13.8%

Length

2023-12-10T15:12:19.074907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:19.434601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af006110120010 7
24.1%
af006040140010 6
20.7%
af006040110010 6
20.7%
af006040110020 6
20.7%
af006060130010 4
13.8%

3200180040
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0541903 × 1010
Minimum2.20001 × 109
Maximum1.620005 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:19.960419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.20001 × 109
5-th percentile3.50013 × 109
Q16.20062 × 109
median1.21001 × 1010
Q31.610034 × 1010
95-th percentile1.620005 × 1010
Maximum1.620005 × 1010
Range1.400004 × 1010
Interquartile range (IQR)9.89972 × 109

Descriptive statistics

Standard deviation5.2855423 × 109
Coefficient of variation (CV)0.50138405
Kurtosis-1.8326166
Mean1.0541903 × 1010
Median Absolute Deviation (MAD)4.09995 × 109
Skewness-0.05565386
Sum3.057152 × 1011
Variance2.7936957 × 1019
MonotonicityNot monotonic
2023-12-10T15:12:20.539240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16200050010 4
13.8%
16100320010 3
 
10.3%
12200050020 2
 
6.9%
6200620010 2
 
6.9%
16100340010 2
 
6.9%
6201950040 2
 
6.9%
16200010020 2
 
6.9%
4200250010 1
 
3.4%
16100010040 1
 
3.4%
3100030000 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
2200010010 1
3.4%
3100030000 1
3.4%
4100280010 1
3.4%
4200250010 1
3.4%
6101380010 1
3.4%
6101510010 1
3.4%
6200000000 1
3.4%
6200620010 2
6.9%
6200700090 1
3.4%
6201880050 1
3.4%
ValueCountFrequency (%)
16200050010 4
13.8%
16200010020 2
6.9%
16100340010 2
6.9%
16100320010 3
10.3%
16100010040 1
 
3.4%
12200050020 2
6.9%
12100100020 1
 
3.4%
6201950040 2
6.9%
6201950020 1
 
3.4%
6201880050 1
 
3.4%

0
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:20.909216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:21.300863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.1
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26965517
Minimum0
Maximum2
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:21.560973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.17
Q30.36
95-th percentile0.75
Maximum2
Range2
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.41267838
Coefficient of variation (CV)1.530393
Kurtosis10.678405
Mean0.26965517
Median Absolute Deviation (MAD)0.17
Skewness2.9040577
Sum7.82
Variance0.17030345
MonotonicityNot monotonic
2023-12-10T15:12:21.898321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 8
27.6%
0.05 3
 
10.3%
0.19 3
 
10.3%
0.75 3
 
10.3%
0.01 2
 
6.9%
0.25 1
 
3.4%
0.36 1
 
3.4%
0.49 1
 
3.4%
0.43 1
 
3.4%
0.28 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.0 8
27.6%
0.01 2
 
6.9%
0.05 3
 
10.3%
0.12 1
 
3.4%
0.17 1
 
3.4%
0.18 1
 
3.4%
0.19 3
 
10.3%
0.25 1
 
3.4%
0.28 1
 
3.4%
0.36 1
 
3.4%
ValueCountFrequency (%)
2.0 1
 
3.4%
0.75 3
10.3%
0.55 1
 
3.4%
0.49 1
 
3.4%
0.43 1
 
3.4%
0.36 1
 
3.4%
0.28 1
 
3.4%
0.25 1
 
3.4%
0.19 3
10.3%
0.18 1
 
3.4%

0.2
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.631379
Minimum0
Maximum131.55
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:22.244519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median1.26
Q313.82
95-th percentile58.604
Maximum131.55
Range131.55
Interquartile range (IQR)13.76

Descriptive statistics

Standard deviation28.034951
Coefficient of variation (CV)2.0566482
Kurtosis11.199527
Mean13.631379
Median Absolute Deviation (MAD)1.26
Skewness3.1227354
Sum395.31
Variance785.95849
MonotonicityNot monotonic
2023-12-10T15:12:22.550592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 4
 
13.8%
0.06 4
 
13.8%
2.83 2
 
6.9%
0.25 2
 
6.9%
33.32 1
 
3.4%
1.89 1
 
3.4%
1.26 1
 
3.4%
66.24 1
 
3.4%
1.07 1
 
3.4%
0.9 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 4
13.8%
0.06 4
13.8%
0.12 1
 
3.4%
0.25 2
6.9%
0.3 1
 
3.4%
0.9 1
 
3.4%
1.07 1
 
3.4%
1.26 1
 
3.4%
1.82 1
 
3.4%
1.84 1
 
3.4%
ValueCountFrequency (%)
131.55 1
3.4%
66.24 1
3.4%
47.15 1
3.4%
33.32 1
3.4%
28.49 1
3.4%
26.85 1
3.4%
23.0 1
3.4%
13.82 1
3.4%
9.29 1
3.4%
2.83 2
6.9%

0.3
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19448276
Minimum0
Maximum0.9
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:22.812406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.03
median0.1
Q30.25
95-th percentile0.704
Maximum0.9
Range0.9
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.22926258
Coefficient of variation (CV)1.1788324
Kurtosis2.9320834
Mean0.19448276
Median Absolute Deviation (MAD)0.09
Skewness1.7900688
Sum5.64
Variance0.05256133
MonotonicityNot monotonic
2023-12-10T15:12:22.992251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.03 6
20.7%
0.1 2
 
6.9%
0.21 2
 
6.9%
0.3 2
 
6.9%
0.0 2
 
6.9%
0.72 1
 
3.4%
0.23 1
 
3.4%
0.12 1
 
3.4%
0.9 1
 
3.4%
0.05 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 2
 
6.9%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.03 6
20.7%
0.05 1
 
3.4%
0.07 1
 
3.4%
0.08 1
 
3.4%
0.1 2
 
6.9%
0.12 1
 
3.4%
0.18 1
 
3.4%
ValueCountFrequency (%)
0.9 1
3.4%
0.72 1
3.4%
0.68 1
3.4%
0.39 1
3.4%
0.34 1
3.4%
0.3 2
6.9%
0.25 1
3.4%
0.23 1
3.4%
0.21 2
6.9%
0.2 1
3.4%

0.4
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2727586
Minimum0
Maximum20.42
Zeros22
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:23.214578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.738
Maximum20.42
Range20.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8815138
Coefficient of variation (CV)3.0496857
Kurtosis22.88985
Mean1.2727586
Median Absolute Deviation (MAD)0
Skewness4.6039704
Sum36.91
Variance15.066149
MonotonicityNot monotonic
2023-12-10T15:12:23.419323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 22
75.9%
3.6 2
 
6.9%
2.58 1
 
3.4%
0.96 1
 
3.4%
3.83 1
 
3.4%
1.92 1
 
3.4%
20.42 1
 
3.4%
ValueCountFrequency (%)
0.0 22
75.9%
0.96 1
 
3.4%
1.92 1
 
3.4%
2.58 1
 
3.4%
3.6 2
 
6.9%
3.83 1
 
3.4%
20.42 1
 
3.4%
ValueCountFrequency (%)
20.42 1
 
3.4%
3.83 1
 
3.4%
3.6 2
 
6.9%
2.58 1
 
3.4%
1.92 1
 
3.4%
0.96 1
 
3.4%
0.0 22
75.9%

0.6
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:23.645539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:23.796618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.7
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.393448
Minimum0
Maximum238.01
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:23.937736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.6
95-th percentile113.096
Maximum238.01
Range238.01
Interquartile range (IQR)21.6

Descriptive statistics

Standard deviation50.948436
Coefficient of variation (CV)2.1778934
Kurtosis12.179562
Mean23.393448
Median Absolute Deviation (MAD)0
Skewness3.375745
Sum678.41
Variance2595.7432
MonotonicityNot monotonic
2023-12-10T15:12:24.164142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 15
51.7%
36.82 3
 
10.3%
21.6 2
 
6.9%
21.35 1
 
3.4%
61.85 1
 
3.4%
15.5 1
 
3.4%
0.5 1
 
3.4%
5.76 1
 
3.4%
23.0 1
 
3.4%
11.52 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 15
51.7%
0.5 1
 
3.4%
5.76 1
 
3.4%
11.52 1
 
3.4%
15.5 1
 
3.4%
21.35 1
 
3.4%
21.6 2
 
6.9%
23.0 1
 
3.4%
36.82 3
 
10.3%
61.85 1
 
3.4%
ValueCountFrequency (%)
238.01 1
 
3.4%
147.26 1
 
3.4%
61.85 1
 
3.4%
36.82 3
10.3%
23.0 1
 
3.4%
21.6 2
6.9%
21.35 1
 
3.4%
15.5 1
 
3.4%
11.52 1
 
3.4%
5.76 1
 
3.4%

0.8
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:24.399916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:24.556967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.9
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.067931034
Minimum0
Maximum0.73
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:24.706499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.04
95-th percentile0.36
Maximum0.73
Range0.73
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.16198279
Coefficient of variation (CV)2.3845182
Kurtosis10.910528
Mean0.067931034
Median Absolute Deviation (MAD)0
Skewness3.2370401
Sum1.97
Variance0.026238424
MonotonicityNot monotonic
2023-12-10T15:12:24.877720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 15
51.7%
0.01 4
 
13.8%
0.18 3
 
10.3%
0.02 2
 
6.9%
0.04 2
 
6.9%
0.06 1
 
3.4%
0.73 1
 
3.4%
0.48 1
 
3.4%
ValueCountFrequency (%)
0.0 15
51.7%
0.01 4
 
13.8%
0.02 2
 
6.9%
0.04 2
 
6.9%
0.06 1
 
3.4%
0.18 3
 
10.3%
0.48 1
 
3.4%
0.73 1
 
3.4%
ValueCountFrequency (%)
0.73 1
 
3.4%
0.48 1
 
3.4%
0.18 3
 
10.3%
0.06 1
 
3.4%
0.04 2
 
6.9%
0.02 2
 
6.9%
0.01 4
 
13.8%
0.0 15
51.7%

0.10
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4996552
Minimum0
Maximum15.43
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:25.060902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.67
95-th percentile7.958
Maximum15.43
Range15.43
Interquartile range (IQR)0.67

Descriptive statistics

Standard deviation3.4391885
Coefficient of variation (CV)2.2933196
Kurtosis9.7171265
Mean1.4996552
Median Absolute Deviation (MAD)0
Skewness3.0164721
Sum43.49
Variance11.828018
MonotonicityNot monotonic
2023-12-10T15:12:25.293231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 15
51.7%
0.35 3
 
10.3%
7.07 1
 
3.4%
15.43 1
 
3.4%
0.67 1
 
3.4%
2.4 1
 
3.4%
0.15 1
 
3.4%
4.8 1
 
3.4%
0.04 1
 
3.4%
8.55 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 15
51.7%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.15 1
 
3.4%
0.35 3
 
10.3%
0.67 1
 
3.4%
1.38 1
 
3.4%
1.92 1
 
3.4%
2.4 1
 
3.4%
4.8 1
 
3.4%
ValueCountFrequency (%)
15.43 1
 
3.4%
8.55 1
 
3.4%
7.07 1
 
3.4%
4.8 1
 
3.4%
2.4 1
 
3.4%
1.92 1
 
3.4%
1.38 1
 
3.4%
0.67 1
 
3.4%
0.35 3
10.3%
0.15 1
 
3.4%

0.5
Real number (ℝ)

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.782759
Minimum0.1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:25.480259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q11
median2
Q315
95-th percentile68
Maximum150
Range149.9
Interquartile range (IQR)14

Descriptive statistics

Standard deviation31.921735
Coefficient of variation (CV)2.0225701
Kurtosis11.31702
Mean15.782759
Median Absolute Deviation (MAD)1.5
Skewness3.1603899
Sum457.7
Variance1018.9972
MonotonicityNot monotonic
2023-12-10T15:12:25.671505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2.0 5
17.2%
0.5 4
13.8%
1.0 3
10.3%
3.0 3
10.3%
35.0 2
 
6.9%
0.3 2
 
6.9%
1.5 2
 
6.9%
15.0 1
 
3.4%
25.0 1
 
3.4%
0.1 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.1 1
 
3.4%
0.3 2
 
6.9%
0.5 4
13.8%
1.0 3
10.3%
1.5 2
 
6.9%
2.0 5
17.2%
3.0 3
10.3%
10.0 1
 
3.4%
15.0 1
 
3.4%
25.0 1
 
3.4%
ValueCountFrequency (%)
150.0 1
 
3.4%
80.0 1
 
3.4%
50.0 1
 
3.4%
35.0 2
 
6.9%
30.0 1
 
3.4%
25.0 1
 
3.4%
15.0 1
 
3.4%
10.0 1
 
3.4%
3.0 3
10.3%
2.0 5
17.2%

0.11
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1358621
Minimum0
Maximum12.6
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:25.855016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.72
95-th percentile6.076
Maximum12.6
Range12.6
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation2.7022511
Coefficient of variation (CV)2.379031
Kurtosis12.424839
Mean1.1358621
Median Absolute Deviation (MAD)0
Skewness3.4254576
Sum32.94
Variance7.3021608
MonotonicityNot monotonic
2023-12-10T15:12:26.075950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 16
55.2%
0.72 2
 
6.9%
3.94 1
 
3.4%
0.42 1
 
3.4%
12.6 1
 
3.4%
1.47 1
 
3.4%
0.18 1
 
3.4%
7.5 1
 
3.4%
1.5 1
 
3.4%
0.36 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 16
55.2%
0.18 1
 
3.4%
0.36 1
 
3.4%
0.42 1
 
3.4%
0.56 1
 
3.4%
0.72 2
 
6.9%
0.84 1
 
3.4%
1.47 1
 
3.4%
1.5 1
 
3.4%
2.13 1
 
3.4%
ValueCountFrequency (%)
12.6 1
3.4%
7.5 1
3.4%
3.94 1
3.4%
2.13 1
3.4%
1.5 1
3.4%
1.47 1
3.4%
0.84 1
3.4%
0.72 2
6.9%
0.56 1
3.4%
0.42 1
3.4%

0.12
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012068966
Minimum0
Maximum0.21
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:26.262290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.036
Maximum0.21
Range0.21
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.039404433
Coefficient of variation (CV)3.2649388
Kurtosis24.848268
Mean0.012068966
Median Absolute Deviation (MAD)0
Skewness4.8563775
Sum0.35
Variance0.0015527094
MonotonicityNot monotonic
2023-12-10T15:12:26.429444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 21
72.4%
0.01 3
 
10.3%
0.02 2
 
6.9%
0.04 1
 
3.4%
0.03 1
 
3.4%
0.21 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.01 3
 
10.3%
0.02 2
 
6.9%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.21 1
 
3.4%
ValueCountFrequency (%)
0.21 1
 
3.4%
0.04 1
 
3.4%
0.03 1
 
3.4%
0.02 2
 
6.9%
0.01 3
 
10.3%
0.0 21
72.4%

0.13
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
13 
0.01
0.02
0.03
0.04
 
1

Length

Max length4
Median length4
Mean length3.5517241
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.01
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 13
44.8%
0.01 9
31.0%
0.02 4
 
13.8%
0.03 2
 
6.9%
0.04 1
 
3.4%

Length

2023-12-10T15:12:26.677310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:26.830745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 13
44.8%
0.01 9
31.0%
0.02 4
 
13.8%
0.03 2
 
6.9%
0.04 1
 
3.4%

0.14
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.075862069
Minimum0
Maximum0.6
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:27.104839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.05
95-th percentile0.294
Maximum0.6
Range0.6
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.13037082
Coefficient of variation (CV)1.7185245
Kurtosis9.2346355
Mean0.075862069
Median Absolute Deviation (MAD)0.02
Skewness2.8635632
Sum2.2
Variance0.016996552
MonotonicityNot monotonic
2023-12-10T15:12:27.424139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.01 6
20.7%
0.04 5
17.2%
0.0 5
17.2%
0.02 4
13.8%
0.03 1
 
3.4%
0.35 1
 
3.4%
0.05 1
 
3.4%
0.2 1
 
3.4%
0.21 1
 
3.4%
0.09 1
 
3.4%
Other values (3) 3
10.3%
ValueCountFrequency (%)
0.0 5
17.2%
0.01 6
20.7%
0.02 4
13.8%
0.03 1
 
3.4%
0.04 5
17.2%
0.05 1
 
3.4%
0.09 1
 
3.4%
0.16 1
 
3.4%
0.17 1
 
3.4%
0.2 1
 
3.4%
ValueCountFrequency (%)
0.6 1
 
3.4%
0.35 1
 
3.4%
0.21 1
 
3.4%
0.2 1
 
3.4%
0.17 1
 
3.4%
0.16 1
 
3.4%
0.09 1
 
3.4%
0.05 1
 
3.4%
0.04 5
17.2%
0.03 1
 
3.4%

0.15
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
23 
0.01
0.05
 
1
0.02
 
1
0.03
 
1

Length

Max length4
Median length3
Mean length3.2068966
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 23
79.3%
0.01 3
 
10.3%
0.05 1
 
3.4%
0.02 1
 
3.4%
0.03 1
 
3.4%

Length

2023-12-10T15:12:27.806713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:28.813143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
79.3%
0.01 3
 
10.3%
0.05 1
 
3.4%
0.02 1
 
3.4%
0.03 1
 
3.4%

0.16
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7768966
Minimum0
Maximum29.07
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:29.394705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.18
median1.9
Q33.41
95-th percentile16.926
Maximum29.07
Range29.07
Interquartile range (IQR)3.23

Descriptive statistics

Standard deviation6.5316773
Coefficient of variation (CV)1.7293768
Kurtosis8.5129701
Mean3.7768966
Median Absolute Deviation (MAD)1.6
Skewness2.8455796
Sum109.53
Variance42.662808
MonotonicityNot monotonic
2023-12-10T15:12:29.803838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
0.48 3
 
10.3%
3.41 2
 
6.9%
3.5 1
 
3.4%
4.0 1
 
3.4%
1.73 1
 
3.4%
12.24 1
 
3.4%
1.9 1
 
3.4%
0.68 1
 
3.4%
0.54 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.18 1
 
3.4%
0.48 3
10.3%
0.54 1
 
3.4%
0.68 1
 
3.4%
1.73 1
 
3.4%
1.9 1
 
3.4%
2.0 1
 
3.4%
2.27 1
 
3.4%
2.59 1
 
3.4%
ValueCountFrequency (%)
29.07 1
3.4%
20.05 1
3.4%
12.24 1
3.4%
9.56 1
3.4%
5.38 1
3.4%
4.0 1
3.4%
3.5 1
3.4%
3.41 2
6.9%
2.83 1
3.4%
2.75 1
3.4%

0.17
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:30.068893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:30.295340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.18
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.026551724
Minimum0
Maximum0.28
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:30.485656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.112
Maximum0.28
Range0.28
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.058996117
Coefficient of variation (CV)2.2219317
Kurtosis12.214795
Mean0.026551724
Median Absolute Deviation (MAD)0
Skewness3.2679755
Sum0.77
Variance0.0034805419
MonotonicityNot monotonic
2023-12-10T15:12:30.696118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 17
58.6%
0.01 4
 
13.8%
0.02 2
 
6.9%
0.12 1
 
3.4%
0.1 1
 
3.4%
0.03 1
 
3.4%
0.07 1
 
3.4%
0.28 1
 
3.4%
0.09 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.01 4
 
13.8%
0.02 2
 
6.9%
0.03 1
 
3.4%
0.07 1
 
3.4%
0.09 1
 
3.4%
0.1 1
 
3.4%
0.12 1
 
3.4%
0.28 1
 
3.4%
ValueCountFrequency (%)
0.28 1
 
3.4%
0.12 1
 
3.4%
0.1 1
 
3.4%
0.09 1
 
3.4%
0.07 1
 
3.4%
0.03 1
 
3.4%
0.02 2
 
6.9%
0.01 4
 
13.8%
0.0 17
58.6%

0.19
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14068966
Minimum0
Maximum1.5
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:30.961970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.14
95-th percentile0.582
Maximum1.5
Range1.5
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.31743313
Coefficient of variation (CV)2.2562649
Kurtosis11.937046
Mean0.14068966
Median Absolute Deviation (MAD)0
Skewness3.1949918
Sum4.08
Variance0.10076379
MonotonicityNot monotonic
2023-12-10T15:12:31.175073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 21
72.4%
0.38 3
 
10.3%
0.14 2
 
6.9%
0.57 1
 
3.4%
0.59 1
 
3.4%
1.5 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.14 2
 
6.9%
0.38 3
 
10.3%
0.57 1
 
3.4%
0.59 1
 
3.4%
1.5 1
 
3.4%
ValueCountFrequency (%)
1.5 1
 
3.4%
0.59 1
 
3.4%
0.57 1
 
3.4%
0.38 3
 
10.3%
0.14 2
 
6.9%
0.0 21
72.4%

0.02
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4189655
Minimum0
Maximum100.8
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:31.412581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.3
median1.4
Q37.08
95-th percentile39.864
Maximum100.8
Range100.8
Interquartile range (IQR)6.78

Descriptive statistics

Standard deviation20.825921
Coefficient of variation (CV)2.4736912
Kurtosis15.114846
Mean8.4189655
Median Absolute Deviation (MAD)1.28
Skewness3.79732
Sum244.15
Variance433.719
MonotonicityNot monotonic
2023-12-10T15:12:31.687158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.4 3
 
10.3%
0.12 2
 
6.9%
0.3 2
 
6.9%
2.25 2
 
6.9%
0.04 2
 
6.9%
6.3 1
 
3.4%
57.0 1
 
3.4%
0.2 1
 
3.4%
100.8 1
 
3.4%
1.58 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.04 2
6.9%
0.12 2
6.9%
0.13 1
 
3.4%
0.2 1
 
3.4%
0.3 2
6.9%
0.38 1
 
3.4%
0.4 3
10.3%
0.59 1
 
3.4%
1.4 1
 
3.4%
ValueCountFrequency (%)
100.8 1
3.4%
57.0 1
3.4%
14.16 1
3.4%
13.0 1
3.4%
11.09 1
3.4%
10.8 1
3.4%
7.65 1
3.4%
7.08 1
3.4%
6.3 1
3.4%
3.75 1
3.4%

1.94
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5958621
Minimum0
Maximum93
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:31.905619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median1.6
Q34.9
95-th percentile49.56
Maximum93
Range93
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation20.62109
Coefficient of variation (CV)2.3989554
Kurtosis11.986753
Mean8.5958621
Median Absolute Deviation (MAD)1.21
Skewness3.4871807
Sum249.28
Variance425.22935
MonotonicityNot monotonic
2023-12-10T15:12:32.180331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 3
 
10.3%
1.6 3
 
10.3%
0.52 2
 
6.9%
0.39 2
 
6.9%
4.9 1
 
3.4%
93.0 1
 
3.4%
2.52 1
 
3.4%
67.2 1
 
3.4%
6.38 1
 
3.4%
0.8 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 3
10.3%
0.39 2
6.9%
0.52 2
6.9%
0.6 1
 
3.4%
0.8 1
 
3.4%
0.87 1
 
3.4%
1.49 1
 
3.4%
1.55 1
 
3.4%
1.6 3
10.3%
1.74 1
 
3.4%
ValueCountFrequency (%)
93.0 1
3.4%
67.2 1
3.4%
23.1 1
3.4%
9.3 1
3.4%
9.0 1
3.4%
6.75 1
3.4%
6.38 1
3.4%
4.9 1
3.4%
4.5 1
3.4%
3.78 1
3.4%

0.02.1
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4493103
Minimum0
Maximum100.8
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:32.391822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.12
Q32.25
95-th percentile13.696
Maximum100.8
Range100.8
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation18.765307
Coefficient of variation (CV)3.4436113
Kurtosis26.164046
Mean5.4493103
Median Absolute Deviation (MAD)0.12
Skewness5.0215146
Sum158.03
Variance352.13674
MonotonicityNot monotonic
2023-12-10T15:12:32.607044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 11
37.9%
0.12 2
 
6.9%
0.3 2
 
6.9%
2.25 2
 
6.9%
0.04 2
 
6.9%
1.62 1
 
3.4%
1.4 1
 
3.4%
7.08 1
 
3.4%
13.0 1
 
3.4%
10.8 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.0 11
37.9%
0.04 2
 
6.9%
0.12 2
 
6.9%
0.2 1
 
3.4%
0.3 2
 
6.9%
0.59 1
 
3.4%
1.4 1
 
3.4%
1.62 1
 
3.4%
2.25 2
 
6.9%
2.96 1
 
3.4%
ValueCountFrequency (%)
100.8 1
3.4%
14.16 1
3.4%
13.0 1
3.4%
10.8 1
3.4%
7.08 1
3.4%
2.96 1
3.4%
2.25 2
6.9%
1.62 1
3.4%
1.4 1
3.4%
0.59 1
3.4%

0.20
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:32.866678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:32.997423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.21
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.923793
Minimum0
Maximum115.5
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:33.142679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.17
median2.18
Q36.75
95-th percentile76.02
Maximum115.5
Range115.5
Interquartile range (IQR)5.58

Descriptive statistics

Standard deviation28.764154
Coefficient of variation (CV)2.4123325
Kurtosis10.593613
Mean11.923793
Median Absolute Deviation (MAD)1.96
Skewness3.3711182
Sum345.79
Variance827.37655
MonotonicityNot monotonic
2023-12-10T15:12:33.323052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 4
 
13.8%
1.71 3
 
10.3%
1.17 2
 
6.9%
13.65 1
 
3.4%
4.92 1
 
3.4%
3.28 1
 
3.4%
112.0 1
 
3.4%
6.84 1
 
3.4%
2.33 1
 
3.4%
2.18 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 4
13.8%
0.22 1
 
3.4%
0.7 1
 
3.4%
0.73 1
 
3.4%
1.17 2
6.9%
1.65 1
 
3.4%
1.71 3
10.3%
1.86 1
 
3.4%
2.18 1
 
3.4%
2.33 1
 
3.4%
ValueCountFrequency (%)
115.5 1
3.4%
112.0 1
3.4%
22.05 1
3.4%
19.8 1
3.4%
13.65 1
3.4%
11.5 1
3.4%
6.84 1
3.4%
6.75 1
3.4%
5.09 1
3.4%
4.92 1
3.4%

0.01
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.388276
Minimum0
Maximum100.79
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:33.509609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.028
Q10.07
median1.05
Q331
95-th percentile95.622
Maximum100.79
Range100.79
Interquartile range (IQR)30.93

Descriptive statistics

Standard deviation33.971479
Coefficient of variation (CV)1.5883225
Kurtosis0.63857138
Mean21.388276
Median Absolute Deviation (MAD)1.03
Skewness1.4555378
Sum620.26
Variance1154.0614
MonotonicityNot monotonic
2023-12-10T15:12:33.715305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.07 3
 
10.3%
0.06 3
 
10.3%
1.05 2
 
6.9%
100.79 2
 
6.9%
0.09 1
 
3.4%
4.0 1
 
3.4%
0.26 1
 
3.4%
87.87 1
 
3.4%
0.0 1
 
3.4%
71.75 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.02 1
 
3.4%
0.04 1
 
3.4%
0.06 3
10.3%
0.07 3
10.3%
0.09 1
 
3.4%
0.26 1
 
3.4%
0.3 1
 
3.4%
0.75 1
 
3.4%
1.05 2
6.9%
ValueCountFrequency (%)
100.79 2
6.9%
87.87 1
3.4%
75.35 1
3.4%
71.75 1
3.4%
62.0 1
3.4%
33.6 1
3.4%
31.0 1
3.4%
23.92 1
3.4%
9.44 1
3.4%
7.5 1
3.4%

0.22
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.14
Minimum0
Maximum17.5
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:33.881515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.31
95-th percentile6.428
Maximum17.5
Range17.5
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation3.6207468
Coefficient of variation (CV)3.1760937
Kurtosis16.365567
Mean1.14
Median Absolute Deviation (MAD)0
Skewness3.9854183
Sum33.06
Variance13.109807
MonotonicityNot monotonic
2023-12-10T15:12:34.060524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 21
72.4%
1.82 2
 
6.9%
17.5 1
 
3.4%
0.61 1
 
3.4%
9.5 1
 
3.4%
0.9 1
 
3.4%
0.31 1
 
3.4%
0.6 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.31 1
 
3.4%
0.6 1
 
3.4%
0.61 1
 
3.4%
0.9 1
 
3.4%
1.82 2
 
6.9%
9.5 1
 
3.4%
17.5 1
 
3.4%
ValueCountFrequency (%)
17.5 1
 
3.4%
9.5 1
 
3.4%
1.82 2
 
6.9%
0.9 1
 
3.4%
0.61 1
 
3.4%
0.6 1
 
3.4%
0.31 1
 
3.4%
0.0 21
72.4%

0.02.2
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.901034
Minimum0
Maximum349.5
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:34.277013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.148
Q13.72
median12.71
Q368.6
95-th percentile161.85
Maximum349.5
Range349.5
Interquartile range (IQR)64.88

Descriptive statistics

Standard deviation74.092214
Coefficient of variation (CV)1.6501226
Kurtosis9.9190327
Mean44.901034
Median Absolute Deviation (MAD)12.3
Skewness2.8839292
Sum1302.13
Variance5489.6561
MonotonicityNot monotonic
2023-12-10T15:12:34.492579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12.71 3
 
10.3%
0.41 2
 
6.9%
8.13 2
 
6.9%
72.0 2
 
6.9%
68.6 1
 
3.4%
19.92 1
 
3.4%
13.28 1
 
3.4%
50.82 1
 
3.4%
6.0 1
 
3.4%
0.0 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.0 1
3.4%
0.14 1
3.4%
0.16 1
3.4%
0.41 2
6.9%
1.2 1
3.4%
2.4 1
3.4%
3.72 1
3.4%
4.32 1
3.4%
6.0 1
3.4%
7.2 1
3.4%
ValueCountFrequency (%)
349.5 1
3.4%
169.75 1
3.4%
150.0 1
3.4%
106.5 1
3.4%
75.0 1
3.4%
72.0 2
6.9%
68.6 1
3.4%
50.82 1
3.4%
38.16 1
3.4%
36.25 1
3.4%

0.23
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9651724
Minimum0
Maximum21.6
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:34.702716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.6
Q30.91
95-th percentile8.626
Maximum21.6
Range21.6
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation4.4092481
Coefficient of variation (CV)2.2436953
Kurtosis14.535787
Mean1.9651724
Median Absolute Deviation (MAD)0.6
Skewness3.6075288
Sum56.99
Variance19.441469
MonotonicityNot monotonic
2023-12-10T15:12:34.854302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 11
37.9%
0.78 3
 
10.3%
0.69 2
 
6.9%
4.9 1
 
3.4%
0.75 1
 
3.4%
0.5 1
 
3.4%
3.1 1
 
3.4%
0.6 1
 
3.4%
1.04 1
 
3.4%
0.91 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 11
37.9%
0.35 1
 
3.4%
0.46 1
 
3.4%
0.5 1
 
3.4%
0.6 1
 
3.4%
0.69 2
 
6.9%
0.75 1
 
3.4%
0.78 3
 
10.3%
0.91 1
 
3.4%
1.04 1
 
3.4%
ValueCountFrequency (%)
21.6 1
 
3.4%
9.01 1
 
3.4%
8.05 1
 
3.4%
4.9 1
 
3.4%
3.1 1
 
3.4%
2.0 1
 
3.4%
1.04 1
 
3.4%
0.91 1
 
3.4%
0.78 3
10.3%
0.75 1
 
3.4%

0.24
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16965517
Minimum0
Maximum1.8
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:35.022790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.03
Q30.1
95-th percentile0.876
Maximum1.8
Range1.8
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.38982123
Coefficient of variation (CV)2.2977268
Kurtosis12.377842
Mean0.16965517
Median Absolute Deviation (MAD)0.03
Skewness3.4817444
Sum4.92
Variance0.15196059
MonotonicityNot monotonic
2023-12-10T15:12:35.213020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.02 8
27.6%
0.0 5
17.2%
0.06 3
 
10.3%
0.07 1
 
3.4%
1.8 1
 
3.4%
0.04 1
 
3.4%
1.2 1
 
3.4%
0.1 1
 
3.4%
0.03 1
 
3.4%
0.2 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 5
17.2%
0.01 1
 
3.4%
0.02 8
27.6%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.05 1
 
3.4%
0.06 3
 
10.3%
0.07 1
 
3.4%
0.1 1
 
3.4%
0.13 1
 
3.4%
ValueCountFrequency (%)
1.8 1
 
3.4%
1.2 1
 
3.4%
0.39 1
 
3.4%
0.35 1
 
3.4%
0.21 1
 
3.4%
0.2 1
 
3.4%
0.13 1
 
3.4%
0.1 1
 
3.4%
0.07 1
 
3.4%
0.06 3
10.3%

0.25
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.090689655
Minimum0
Maximum1.2
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:35.391260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06
95-th percentile0.374
Maximum1.2
Range1.2
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.23564397
Coefficient of variation (CV)2.5983555
Kurtosis18.586517
Mean0.090689655
Median Absolute Deviation (MAD)0
Skewness4.0986327
Sum2.63
Variance0.055528079
MonotonicityNot monotonic
2023-12-10T15:12:35.581163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 15
51.7%
0.02 4
 
13.8%
0.06 2
 
6.9%
0.21 1
 
3.4%
0.35 1
 
3.4%
0.39 1
 
3.4%
0.13 1
 
3.4%
0.08 1
 
3.4%
0.03 1
 
3.4%
1.2 1
 
3.4%
ValueCountFrequency (%)
0.0 15
51.7%
0.02 4
 
13.8%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.06 2
 
6.9%
0.08 1
 
3.4%
0.13 1
 
3.4%
0.21 1
 
3.4%
0.35 1
 
3.4%
0.39 1
 
3.4%
ValueCountFrequency (%)
1.2 1
 
3.4%
0.39 1
 
3.4%
0.35 1
 
3.4%
0.21 1
 
3.4%
0.13 1
 
3.4%
0.08 1
 
3.4%
0.06 2
6.9%
0.04 1
 
3.4%
0.03 1
 
3.4%
0.02 4
13.8%

0.26
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:35.807170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:35.938501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.5.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93137931
Minimum0
Maximum7.05
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:36.339963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.42
Q31.05
95-th percentile3.946
Maximum7.05
Range7.05
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation1.5462875
Coefficient of variation (CV)1.6602125
Kurtosis9.9324231
Mean0.93137931
Median Absolute Deviation (MAD)0.36
Skewness3.0794013
Sum27.01
Variance2.3910052
MonotonicityNot monotonic
2023-12-10T15:12:36.523102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 3
 
10.3%
0.3 3
 
10.3%
0.1 2
 
6.9%
0.9 2
 
6.9%
1.07 1
 
3.4%
7.05 1
 
3.4%
0.6 1
 
3.4%
1.12 1
 
3.4%
1.21 1
 
3.4%
0.07 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 3
10.3%
0.06 1
 
3.4%
0.07 1
 
3.4%
0.08 1
 
3.4%
0.1 2
6.9%
0.13 1
 
3.4%
0.25 1
 
3.4%
0.3 3
10.3%
0.32 1
 
3.4%
0.42 1
 
3.4%
ValueCountFrequency (%)
7.05 1
3.4%
5.11 1
3.4%
2.2 1
3.4%
1.67 1
3.4%
1.21 1
3.4%
1.12 1
3.4%
1.07 1
3.4%
1.05 1
3.4%
0.9 2
6.9%
0.81 1
3.4%

0.27
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.059310345
Minimum0
Maximum0.8
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:36.708388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.198
Maximum0.8
Range0.8
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.15252473
Coefficient of variation (CV)2.5716379
Kurtosis21.343279
Mean0.059310345
Median Absolute Deviation (MAD)0.01
Skewness4.4248758
Sum1.72
Variance0.023263793
MonotonicityNot monotonic
2023-12-10T15:12:36.939167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.01 9
31.0%
0.0 8
27.6%
0.02 3
 
10.3%
0.03 2
 
6.9%
0.08 1
 
3.4%
0.18 1
 
3.4%
0.04 1
 
3.4%
0.15 1
 
3.4%
0.21 1
 
3.4%
0.05 1
 
3.4%
ValueCountFrequency (%)
0.0 8
27.6%
0.01 9
31.0%
0.02 3
 
10.3%
0.03 2
 
6.9%
0.04 1
 
3.4%
0.05 1
 
3.4%
0.08 1
 
3.4%
0.15 1
 
3.4%
0.18 1
 
3.4%
0.21 1
 
3.4%
ValueCountFrequency (%)
0.8 1
 
3.4%
0.21 1
 
3.4%
0.18 1
 
3.4%
0.15 1
 
3.4%
0.08 1
 
3.4%
0.05 1
 
3.4%
0.04 1
 
3.4%
0.03 2
 
6.9%
0.02 3
 
10.3%
0.01 9
31.0%

0.28
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
21 
0.01
0.04
 
2
0.12
 
1

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.01
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 21
72.4%
0.01 5
 
17.2%
0.04 2
 
6.9%
0.12 1
 
3.4%

Length

2023-12-10T15:12:37.321038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:37.574148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
72.4%
0.01 5
 
17.2%
0.04 2
 
6.9%
0.12 1
 
3.4%

0.29
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:38.035244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:38.470423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.30
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.042758621
Minimum0
Maximum0.44
Zeros12
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:38.967624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.01
95-th percentile0.218
Maximum0.44
Range0.44
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.095838277
Coefficient of variation (CV)2.2413791
Kurtosis10.71991
Mean0.042758621
Median Absolute Deviation (MAD)0.01
Skewness3.1486702
Sum1.24
Variance0.0091849754
MonotonicityNot monotonic
2023-12-10T15:12:39.507875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 12
41.4%
0.01 10
34.5%
0.2 1
 
3.4%
0.09 1
 
3.4%
0.04 1
 
3.4%
0.23 1
 
3.4%
0.11 1
 
3.4%
0.03 1
 
3.4%
0.44 1
 
3.4%
ValueCountFrequency (%)
0.0 12
41.4%
0.01 10
34.5%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.09 1
 
3.4%
0.11 1
 
3.4%
0.2 1
 
3.4%
0.23 1
 
3.4%
0.44 1
 
3.4%
ValueCountFrequency (%)
0.44 1
 
3.4%
0.23 1
 
3.4%
0.2 1
 
3.4%
0.11 1
 
3.4%
0.09 1
 
3.4%
0.04 1
 
3.4%
0.03 1
 
3.4%
0.01 10
34.5%
0.0 12
41.4%

0.31
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.25966
Minimum0
Maximum2730
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:39.811958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.05
95-th percentile935.392
Maximum2730
Range2730
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation558.61082
Coefficient of variation (CV)3.6930589
Kurtosis17.743391
Mean151.25966
Median Absolute Deviation (MAD)0
Skewness4.1480216
Sum4386.53
Variance312046.05
MonotonicityNot monotonic
2023-12-10T15:12:40.046474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 20
69.0%
0.05 3
 
10.3%
0.17 1
 
3.4%
290.98 1
 
3.4%
1365.0 1
 
3.4%
2730.0 1
 
3.4%
0.02 1
 
3.4%
0.21 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.02 1
 
3.4%
0.05 3
 
10.3%
0.17 1
 
3.4%
0.21 1
 
3.4%
290.98 1
 
3.4%
1365.0 1
 
3.4%
2730.0 1
 
3.4%
ValueCountFrequency (%)
2730.0 1
 
3.4%
1365.0 1
 
3.4%
290.98 1
 
3.4%
0.21 1
 
3.4%
0.17 1
 
3.4%
0.05 3
 
10.3%
0.02 1
 
3.4%
0.0 20
69.0%

0.32
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37586207
Minimum0
Maximum7.92
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:40.325077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q30.12
95-th percentile0.754
Maximum7.92
Range7.92
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation1.4651804
Coefficient of variation (CV)3.8981865
Kurtosis27.764137
Mean0.37586207
Median Absolute Deviation (MAD)0.02
Skewness5.2266147
Sum10.9
Variance2.1467537
MonotonicityNot monotonic
2023-12-10T15:12:40.687233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 10
34.5%
0.02 6
20.7%
0.01 2
 
6.9%
0.12 1
 
3.4%
0.97 1
 
3.4%
0.11 1
 
3.4%
0.29 1
 
3.4%
0.35 1
 
3.4%
0.18 1
 
3.4%
0.43 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 10
34.5%
0.01 2
 
6.9%
0.02 6
20.7%
0.03 1
 
3.4%
0.08 1
 
3.4%
0.11 1
 
3.4%
0.12 1
 
3.4%
0.18 1
 
3.4%
0.28 1
 
3.4%
0.29 1
 
3.4%
ValueCountFrequency (%)
7.92 1
3.4%
0.97 1
3.4%
0.43 1
3.4%
0.35 1
3.4%
0.29 1
3.4%
0.28 1
3.4%
0.18 1
3.4%
0.12 1
3.4%
0.11 1
3.4%
0.08 1
3.4%

0.33
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:41.343459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:41.857782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.34
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15241379
Minimum0
Maximum3.5
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:42.348722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.376
Maximum3.5
Range3.5
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.65139222
Coefficient of variation (CV)4.2738403
Kurtosis27.530064
Mean0.15241379
Median Absolute Deviation (MAD)0
Skewness5.2024275
Sum4.42
Variance0.42431182
MonotonicityNot monotonic
2023-12-10T15:12:43.046228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 17
58.6%
0.01 3
 
10.3%
0.04 3
 
10.3%
0.02 2
 
6.9%
0.05 1
 
3.4%
0.52 1
 
3.4%
0.16 1
 
3.4%
3.5 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.01 3
 
10.3%
0.02 2
 
6.9%
0.04 3
 
10.3%
0.05 1
 
3.4%
0.16 1
 
3.4%
0.52 1
 
3.4%
3.5 1
 
3.4%
ValueCountFrequency (%)
3.5 1
 
3.4%
0.52 1
 
3.4%
0.16 1
 
3.4%
0.05 1
 
3.4%
0.04 3
 
10.3%
0.02 2
 
6.9%
0.01 3
 
10.3%
0.0 17
58.6%

0.35
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
20 
0.01
0.09
 
1
0.03
 
1
0.7
 
1

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row0.0
2nd row0.01
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 20
69.0%
0.01 6
 
20.7%
0.09 1
 
3.4%
0.03 1
 
3.4%
0.7 1
 
3.4%

Length

2023-12-10T15:12:43.915050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:44.394909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 20
69.0%
0.01 6
 
20.7%
0.09 1
 
3.4%
0.03 1
 
3.4%
0.7 1
 
3.4%

0.36
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
25 
0.09
 
1
0.01
 
1
0.02
 
1
0.82
 
1

Length

Max length4
Median length3
Mean length3.137931
Min length3

Unique

Unique4 ?
Unique (%)13.8%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 25
86.2%
0.09 1
 
3.4%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.82 1
 
3.4%

Length

2023-12-10T15:12:45.235886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:45.972790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
86.2%
0.09 1
 
3.4%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.82 1
 
3.4%

0.37
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32931034
Minimum0
Maximum4.48
Zeros14
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:46.308965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.04
95-th percentile2.664
Maximum4.48
Range4.48
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation1.1138445
Coefficient of variation (CV)3.3823549
Kurtosis11.646706
Mean0.32931034
Median Absolute Deviation (MAD)0.01
Skewness3.5726018
Sum9.55
Variance1.2406495
MonotonicityNot monotonic
2023-12-10T15:12:46.756238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 14
48.3%
0.01 4
 
13.8%
0.04 3
 
10.3%
0.05 2
 
6.9%
0.36 1
 
3.4%
0.02 1
 
3.4%
4.2 1
 
3.4%
0.06 1
 
3.4%
0.17 1
 
3.4%
4.48 1
 
3.4%
ValueCountFrequency (%)
0.0 14
48.3%
0.01 4
 
13.8%
0.02 1
 
3.4%
0.04 3
 
10.3%
0.05 2
 
6.9%
0.06 1
 
3.4%
0.17 1
 
3.4%
0.36 1
 
3.4%
4.2 1
 
3.4%
4.48 1
 
3.4%
ValueCountFrequency (%)
4.48 1
 
3.4%
4.2 1
 
3.4%
0.36 1
 
3.4%
0.17 1
 
3.4%
0.06 1
 
3.4%
0.05 2
 
6.9%
0.04 3
 
10.3%
0.02 1
 
3.4%
0.01 4
 
13.8%
0.0 14
48.3%

0.38
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.089655172
Minimum0
Maximum1.98
Zeros18
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:47.243895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.248
Maximum1.98
Range1.98
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.36934771
Coefficient of variation (CV)4.1196476
Kurtosis27.032294
Mean0.089655172
Median Absolute Deviation (MAD)0
Skewness5.1426806
Sum2.6
Variance0.13641773
MonotonicityNot monotonic
2023-12-10T15:12:47.622882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 18
62.1%
0.01 4
 
13.8%
0.03 3
 
10.3%
0.04 1
 
3.4%
0.34 1
 
3.4%
0.11 1
 
3.4%
1.98 1
 
3.4%
ValueCountFrequency (%)
0.0 18
62.1%
0.01 4
 
13.8%
0.03 3
 
10.3%
0.04 1
 
3.4%
0.11 1
 
3.4%
0.34 1
 
3.4%
1.98 1
 
3.4%
ValueCountFrequency (%)
1.98 1
 
3.4%
0.34 1
 
3.4%
0.11 1
 
3.4%
0.04 1
 
3.4%
0.03 3
 
10.3%
0.01 4
 
13.8%
0.0 18
62.1%

0.39
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:47.966738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:48.121970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.40
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.52
Minimum0
Maximum252
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:48.299454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median2.12
Q36.5
95-th percentile29.92
Maximum252
Range252
Interquartile range (IQR)6

Descriptive statistics

Standard deviation46.478882
Coefficient of variation (CV)3.4377871
Kurtosis27.333591
Mean13.52
Median Absolute Deviation (MAD)2.12
Skewness5.1732982
Sum392.08
Variance2160.2865
MonotonicityNot monotonic
2023-12-10T15:12:48.636221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
1.78 3
 
10.3%
1.95 2
 
6.9%
7.7 1
 
3.4%
11.92 1
 
3.4%
3.54 1
 
3.4%
252.0 1
 
3.4%
7.1 1
 
3.4%
3.14 1
 
3.4%
6.36 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.5 1
 
3.4%
1.73 1
 
3.4%
1.78 3
10.3%
1.95 2
 
6.9%
2.12 1
 
3.4%
3.14 1
 
3.4%
3.54 1
 
3.4%
4.75 1
 
3.4%
5.31 1
 
3.4%
ValueCountFrequency (%)
252.0 1
3.4%
37.5 1
3.4%
18.55 1
3.4%
11.92 1
3.4%
8.16 1
3.4%
7.7 1
3.4%
7.1 1
3.4%
6.5 1
3.4%
6.36 1
3.4%
5.96 1
3.4%

0.41
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.269655
Minimum0
Maximum447.84
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:49.003599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.82
median3.53
Q310.69
95-th percentile46.352
Maximum447.84
Range447.84
Interquartile range (IQR)9.87

Descriptive statistics

Standard deviation82.565603
Coefficient of variation (CV)3.5482091
Kurtosis27.603192
Mean23.269655
Median Absolute Deviation (MAD)3.53
Skewness5.207555
Sum674.82
Variance6817.0788
MonotonicityNot monotonic
2023-12-10T15:12:49.298067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
3.53 3
 
10.3%
2.67 2
 
6.9%
12.95 1
 
3.4%
21.38 1
 
3.4%
5.86 1
 
3.4%
447.84 1
 
3.4%
14.12 1
 
3.4%
5.45 1
 
3.4%
9.5 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.82 1
 
3.4%
2.49 1
 
3.4%
2.67 2
 
6.9%
3.17 1
 
3.4%
3.53 3
10.3%
5.45 1
 
3.4%
5.86 1
 
3.4%
7.5 1
 
3.4%
8.79 1
 
3.4%
ValueCountFrequency (%)
447.84 1
3.4%
63.0 1
3.4%
21.38 1
3.4%
21.21 1
3.4%
14.87 1
3.4%
14.12 1
3.4%
12.95 1
3.4%
10.69 1
3.4%
9.5 1
3.4%
9.25 1
3.4%

0.42
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62
Minimum0
Maximum238.4
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:49.493442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.34
median2.63
Q37.16
95-th percentile33.28
Maximum238.4
Range238.4
Interquartile range (IQR)6.82

Descriptive statistics

Standard deviation44.093895
Coefficient of variation (CV)3.2374372
Kurtosis26.555521
Mean13.62
Median Absolute Deviation (MAD)2.63
Skewness5.0779922
Sum394.98
Variance1944.2716
MonotonicityNot monotonic
2023-12-10T15:12:49.690034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
2.37 3
 
10.3%
2.82 2
 
6.9%
5.25 1
 
3.4%
14.32 1
 
3.4%
1.38 1
 
3.4%
238.4 1
 
3.4%
9.48 1
 
3.4%
4.05 1
 
3.4%
6.54 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.34 1
 
3.4%
1.38 1
 
3.4%
2.07 1
 
3.4%
2.18 1
 
3.4%
2.37 3
10.3%
2.63 1
 
3.4%
2.82 2
 
6.9%
4.05 1
 
3.4%
4.5 1
 
3.4%
ValueCountFrequency (%)
238.4 1
3.4%
43.8 1
3.4%
17.5 1
3.4%
14.32 1
3.4%
11.38 1
3.4%
11.25 1
3.4%
9.48 1
3.4%
7.16 1
3.4%
6.54 1
3.4%
5.25 1
3.4%

0.43
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5468966
Minimum0
Maximum50.4
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:49.872490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median0.75
Q32.58
95-th percentile11.764
Maximum50.4
Range50.4
Interquartile range (IQR)2.52

Descriptive statistics

Standard deviation9.5092662
Coefficient of variation (CV)2.6810103
Kurtosis22.830262
Mean3.5468966
Median Absolute Deviation (MAD)0.75
Skewness4.6254518
Sum102.86
Variance90.426144
MonotonicityNot monotonic
2023-12-10T15:12:50.119068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
0.65 3
 
10.3%
0.75 2
 
6.9%
2.8 1
 
3.4%
7.36 1
 
3.4%
2.5 1
 
3.4%
50.4 1
 
3.4%
2.58 1
 
3.4%
1.31 1
 
3.4%
0.8 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.06 1
 
3.4%
0.27 1
 
3.4%
0.35 1
 
3.4%
0.65 3
10.3%
0.75 2
 
6.9%
0.8 1
 
3.4%
0.98 1
 
3.4%
1.0 1
 
3.4%
1.31 1
 
3.4%
ValueCountFrequency (%)
50.4 1
3.4%
14.7 1
3.4%
7.36 1
3.4%
5.37 1
3.4%
3.75 1
3.4%
3.68 1
3.4%
2.8 1
3.4%
2.58 1
3.4%
2.5 1
3.4%
1.5 1
3.4%

0.44
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.428276
Minimum0
Maximum280.8
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:50.306569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.44
median2.05
Q37.19
95-th percentile29.332
Maximum280.8
Range280.8
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation51.775746
Coefficient of variation (CV)3.5884915
Kurtosis27.663247
Mean14.428276
Median Absolute Deviation (MAD)2.05
Skewness5.2156405
Sum418.42
Variance2680.7278
MonotonicityNot monotonic
2023-12-10T15:12:50.522809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
2.05 3
 
10.3%
2.04 2
 
6.9%
7.7 1
 
3.4%
14.38 1
 
3.4%
4.32 1
 
3.4%
280.8 1
 
3.4%
8.2 1
 
3.4%
3.63 1
 
3.4%
5.82 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.44 1
 
3.4%
1.84 1
 
3.4%
1.94 1
 
3.4%
2.04 2
 
6.9%
2.05 3
10.3%
3.63 1
 
3.4%
4.0 1
 
3.4%
4.32 1
 
3.4%
5.82 1
 
3.4%
ValueCountFrequency (%)
280.8 1
3.4%
39.3 1
3.4%
14.38 1
3.4%
8.7 1
3.4%
8.2 1
3.4%
7.7 1
3.4%
7.5 1
3.4%
7.19 1
3.4%
6.48 1
3.4%
5.95 1
3.4%

0.45
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.561724
Minimum0
Maximum231.2
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:50.751746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.38
median2.17
Q37.43
95-th percentile27.724
Maximum231.2
Range231.2
Interquartile range (IQR)7.05

Descriptive statistics

Standard deviation42.644301
Coefficient of variation (CV)3.3947809
Kurtosis27.241426
Mean12.561724
Median Absolute Deviation (MAD)2.17
Skewness5.1625268
Sum364.29
Variance1818.5364
MonotonicityNot monotonic
2023-12-10T15:12:50.999475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
2.17 3
 
10.3%
1.86 2
 
6.9%
9.45 1
 
3.4%
14.86 1
 
3.4%
2.9 1
 
3.4%
231.2 1
 
3.4%
8.66 1
 
3.4%
2.39 1
 
3.4%
4.8 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.38 1
 
3.4%
1.6 1
 
3.4%
1.86 2
 
6.9%
1.88 1
 
3.4%
2.17 3
10.3%
2.39 1
 
3.4%
2.9 1
 
3.4%
4.35 1
 
3.4%
4.8 1
 
3.4%
ValueCountFrequency (%)
231.2 1
3.4%
36.3 1
3.4%
14.86 1
3.4%
9.45 1
3.4%
8.66 1
3.4%
8.31 1
3.4%
8.0 1
3.4%
7.43 1
3.4%
6.3 1
3.4%
5.25 1
3.4%

0.46
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0096552
Minimum0
Maximum60.56
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:51.229407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.34
Q31.5
95-th percentile4.56
Maximum60.56
Range60.56
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation11.152788
Coefficient of variation (CV)3.7056697
Kurtosis28.0355
Mean3.0096552
Median Absolute Deviation (MAD)0.34
Skewness5.2580543
Sum87.28
Variance124.38468
MonotonicityNot monotonic
2023-12-10T15:12:51.719404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 8
27.6%
0.34 3
 
10.3%
0.21 3
 
10.3%
2.4 2
 
6.9%
3.5 1
 
3.4%
0.9 1
 
3.4%
0.6 1
 
3.4%
60.56 1
 
3.4%
1.36 1
 
3.4%
0.39 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 8
27.6%
0.06 1
 
3.4%
0.08 1
 
3.4%
0.13 1
 
3.4%
0.21 3
 
10.3%
0.34 3
 
10.3%
0.39 1
 
3.4%
0.6 1
 
3.4%
0.9 1
 
3.4%
1.36 1
 
3.4%
ValueCountFrequency (%)
60.56 1
3.4%
4.8 1
3.4%
4.2 1
3.4%
3.5 1
3.4%
2.75 1
3.4%
2.4 2
6.9%
1.5 1
3.4%
1.36 1
3.4%
0.9 1
3.4%
0.6 1
3.4%

0.47
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.294138
Minimum0
Maximum286.4
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:52.045060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.68
median2.44
Q39.1
95-th percentile38.42
Maximum286.4
Range286.4
Interquartile range (IQR)8.42

Descriptive statistics

Standard deviation52.821444
Coefficient of variation (CV)3.2417453
Kurtosis26.921013
Mean16.294138
Median Absolute Deviation (MAD)2.44
Skewness5.1190342
Sum472.53
Variance2790.105
MonotonicityNot monotonic
2023-12-10T15:12:52.236998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
2.44 3
 
10.3%
2.22 2
 
6.9%
9.1 1
 
3.4%
13.56 1
 
3.4%
6.04 1
 
3.4%
286.4 1
 
3.4%
9.76 1
 
3.4%
3.8 1
 
3.4%
6.45 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.68 1
 
3.4%
2.15 1
 
3.4%
2.22 2
 
6.9%
2.26 1
 
3.4%
2.44 3
10.3%
3.8 1
 
3.4%
6.0 1
 
3.4%
6.04 1
 
3.4%
6.45 1
 
3.4%
ValueCountFrequency (%)
286.4 1
3.4%
41.7 1
3.4%
33.5 1
3.4%
13.56 1
3.4%
13.0 1
3.4%
10.53 1
3.4%
9.76 1
3.4%
9.1 1
3.4%
9.06 1
3.4%
6.78 1
3.4%

0.48
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17034483
Minimum0
Maximum4.48
Zeros22
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:52.482297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.236
Maximum4.48
Range4.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.83155827
Coefficient of variation (CV)4.8816174
Kurtosis28.583461
Mean0.17034483
Median Absolute Deviation (MAD)0
Skewness5.3318413
Sum4.94
Variance0.69148916
MonotonicityNot monotonic
2023-12-10T15:12:52.673158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 22
75.9%
0.01 3
 
10.3%
0.05 1
 
3.4%
0.36 1
 
3.4%
0.02 1
 
3.4%
4.48 1
 
3.4%
ValueCountFrequency (%)
0.0 22
75.9%
0.01 3
 
10.3%
0.02 1
 
3.4%
0.05 1
 
3.4%
0.36 1
 
3.4%
4.48 1
 
3.4%
ValueCountFrequency (%)
4.48 1
 
3.4%
0.36 1
 
3.4%
0.05 1
 
3.4%
0.02 1
 
3.4%
0.01 3
 
10.3%
0.0 22
75.9%

0.49
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8748276
Minimum0
Maximum108
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:52.965585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.42
median0.96
Q33.85
95-th percentile37.54
Maximum108
Range108
Interquartile range (IQR)3.43

Descriptive statistics

Standard deviation21.622688
Coefficient of variation (CV)2.7457982
Kurtosis17.771442
Mean7.8748276
Median Absolute Deviation (MAD)0.96
Skewness4.1072532
Sum228.37
Variance467.54062
MonotonicityNot monotonic
2023-12-10T15:12:53.174854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
0.94 3
 
10.3%
0.72 2
 
6.9%
3.85 1
 
3.4%
3.9 1
 
3.4%
3.16 1
 
3.4%
108.0 1
 
3.4%
3.76 1
 
3.4%
2.42 1
 
3.4%
2.33 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.42 1
 
3.4%
0.72 2
 
6.9%
0.78 1
 
3.4%
0.94 3
10.3%
0.96 1
 
3.4%
1.95 1
 
3.4%
2.33 1
 
3.4%
2.42 1
 
3.4%
3.16 1
 
3.4%
ValueCountFrequency (%)
108.0 1
3.4%
51.9 1
3.4%
16.0 1
3.4%
12.15 1
3.4%
4.74 1
3.4%
4.54 1
3.4%
3.9 1
3.4%
3.85 1
3.4%
3.76 1
3.4%
3.25 1
3.4%

0.50
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.894138
Minimum0
Maximum266.4
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:53.341873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.58
median3.47
Q312.25
95-th percentile53.092
Maximum266.4
Range266.4
Interquartile range (IQR)11.67

Descriptive statistics

Standard deviation50.032513
Coefficient of variation (CV)2.6480442
Kurtosis23.195135
Mean18.894138
Median Absolute Deviation (MAD)3.47
Skewness4.6465917
Sum547.93
Variance2503.2524
MonotonicityNot monotonic
2023-12-10T15:12:53.516062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
24.1%
3.47 3
 
10.3%
2.04 2
 
6.9%
12.6 1
 
3.4%
11.54 1
 
3.4%
40.84 1
 
3.4%
266.4 1
 
3.4%
13.88 1
 
3.4%
2.64 1
 
3.4%
5.42 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 7
24.1%
0.58 1
 
3.4%
1.81 1
 
3.4%
2.04 2
 
6.9%
2.6 1
 
3.4%
2.64 1
 
3.4%
3.47 3
10.3%
5.42 1
 
3.4%
5.77 1
 
3.4%
8.0 1
 
3.4%
ValueCountFrequency (%)
266.4 1
3.4%
61.26 1
3.4%
40.84 1
3.4%
40.5 1
3.4%
39.0 1
3.4%
13.88 1
3.4%
12.6 1
3.4%
12.25 1
3.4%
11.54 1
3.4%
8.35 1
3.4%

0.51
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:12:53.796691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:53.925559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

0.52
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65965517
Minimum0
Maximum7.44
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:54.085898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.11
Q30.24
95-th percentile4.392
Maximum7.44
Range7.44
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation1.7566536
Coefficient of variation (CV)2.6629877
Kurtosis11.193275
Mean0.65965517
Median Absolute Deviation (MAD)0.09
Skewness3.4483383
Sum19.13
Variance3.085832
MonotonicityNot monotonic
2023-12-10T15:12:54.297049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 6
20.7%
0.07 4
13.8%
0.05 3
 
10.3%
0.2 2
 
6.9%
0.43 1
 
3.4%
6.3 1
 
3.4%
0.11 1
 
3.4%
7.44 1
 
3.4%
0.27 1
 
3.4%
0.12 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 6
20.7%
0.03 1
 
3.4%
0.05 3
10.3%
0.07 4
13.8%
0.11 1
 
3.4%
0.12 1
 
3.4%
0.14 1
 
3.4%
0.15 1
 
3.4%
0.16 1
 
3.4%
0.2 2
 
6.9%
ValueCountFrequency (%)
7.44 1
3.4%
6.3 1
3.4%
1.53 1
3.4%
0.98 1
3.4%
0.43 1
3.4%
0.4 1
3.4%
0.27 1
3.4%
0.24 1
3.4%
0.2 2
6.9%
0.16 1
3.4%

0.53
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38482759
Minimum0
Maximum7.44
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:12:54.564241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.11
95-th percentile1.31
Maximum7.44
Range7.44
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation1.3965586
Coefficient of variation (CV)3.6290501
Kurtosis25.504253
Mean0.38482759
Median Absolute Deviation (MAD)0
Skewness4.9534461
Sum11.16
Variance1.9503759
MonotonicityNot monotonic
2023-12-10T15:12:54.741287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 16
55.2%
0.05 2
 
6.9%
0.07 2
 
6.9%
0.03 1
 
3.4%
0.98 1
 
3.4%
0.4 1
 
3.4%
1.53 1
 
3.4%
0.15 1
 
3.4%
0.16 1
 
3.4%
0.12 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 16
55.2%
0.03 1
 
3.4%
0.05 2
 
6.9%
0.07 2
 
6.9%
0.11 1
 
3.4%
0.12 1
 
3.4%
0.15 1
 
3.4%
0.16 1
 
3.4%
0.4 1
 
3.4%
0.98 1
 
3.4%
ValueCountFrequency (%)
7.44 1
3.4%
1.53 1
3.4%
0.98 1
3.4%
0.4 1
3.4%
0.16 1
3.4%
0.15 1
3.4%
0.12 1
3.4%
0.11 1
3.4%
0.07 2
6.9%
0.05 2
6.9%

Sample

AF006040140010320018004000.10.20.30.40.60.70.80.90.100.50.110.120.130.140.150.160.170.180.190.021.940.02.10.200.210.010.220.02.20.230.240.250.260.5.10.270.280.290.300.310.320.330.340.350.360.370.380.390.400.410.420.430.440.450.460.470.480.490.500.510.520.53
0AF006040140010610151001000.2533.320.180.0021.3500.027.0735.03.940.00.010.030.03.500.120.576.34.90.0013.651.050.068.64.90.070.001.070.080.0100.20.170.1200.010.00.00.010.0107.712.955.252.87.79.453.59.10.03.8512.600.430.0
1AF0060401400101210010002000.360.060.250.0061.8500.0115.431.00.00.00.00.040.02.8300.00.011.091.490.003.5575.350.04.329.010.060.000.440.030.000.01290.980.9700.050.010.00.050.0408.1614.8711.385.378.78.310.010.530.04.548.3500.20.0
2AF006040140010620195002000.051.820.012.58015.500.00.02.00.420.00.00.010.02.2700.00.01.620.521.6200.70.020.03.720.460.020.0200.130.00.000.00.00.0100.00.00.00.010.000.50.820.340.060.440.380.080.680.010.420.5800.030.03
3AF0060401400101610032001000.00.00.30.000.000.00.00.30.00.00.00.00.00.000.00.00.120.00.1200.0100.791.820.410.00.00.000.00.00.000.00.00.000.00.00.00.00.000.00.00.00.00.00.00.00.00.00.00.000.00.0
4AF0060401400101610034001000.013.820.020.000.000.00.015.00.00.00.00.020.00.000.00.00.34.50.301.650.30.01.20.00.020.0200.420.010.000.00.00.0200.00.00.00.00.000.00.00.00.00.00.00.00.00.00.00.000.00.0
5AF0060401400101620005001000.190.060.030.0036.8200.180.350.50.00.00.010.040.00.4800.00.380.41.60.001.710.070.012.710.780.020.000.30.010.000.010.050.0200.040.010.00.040.0301.783.532.370.652.052.170.342.440.00.943.4700.070.0
6AF006040110010220001001000.4928.490.390.000.000.00.6735.012.60.040.020.350.059.5600.10.141.423.11.4022.051.0517.5169.758.050.210.2105.110.180.0400.090.00.1100.020.010.00.00.01018.5521.2117.50.985.956.34.233.50.012.1512.2500.980.98
7AF006040110010610138001000.4323.00.080.000.500.00.025.01.470.010.00.020.02.7500.030.143.756.750.006.750.750.036.252.00.050.001.670.040.000.040.00.2900.010.00.00.010.0104.759.2511.251.57.55.252.756.00.03.2540.500.240.0
8AF006040110010620195004000.052.830.033.6021.600.040.03.00.720.00.00.010.03.4100.010.02.250.392.2501.170.060.08.130.690.020.0200.10.010.000.00.00.0200.00.00.00.00.001.952.672.820.752.041.860.212.220.00.722.0400.050.05
9AF0060401100101620001002000.00.30.070.000.000.00.00.50.00.00.010.010.00.1800.00.00.130.520.000.7323.920.02.40.350.010.000.080.00.000.00.00.000.00.00.00.00.002.123.172.180.271.941.60.132.150.00.781.8100.050.0
AF006040140010320018004000.10.20.30.40.60.70.80.90.100.50.110.120.130.140.150.160.170.180.190.021.940.02.10.200.210.010.220.02.20.230.240.250.260.5.10.270.280.290.300.310.320.330.340.350.360.370.380.390.400.410.420.430.440.450.460.470.480.490.500.510.520.53
19AF006110120010620000000000.179.290.1220.420238.0100.028.5510.02.130.010.020.040.05.3800.020.597.651.982.9605.099.440.3138.160.910.20.0800.320.020.000.010.020.0300.00.00.00.060.001.732.492.630.351.841.880.062.260.010.962.600.20.07
20AF006110120010620195004000.052.830.033.6021.600.040.03.00.720.00.00.010.03.4100.010.02.250.392.2501.170.060.08.130.690.020.0200.10.010.000.00.00.0200.00.00.00.00.001.952.672.820.752.041.860.212.220.00.722.0400.050.05
21AF0061101200101620005001000.190.060.030.0036.8200.180.350.50.00.00.010.040.00.4800.00.380.41.60.001.710.070.012.710.780.020.000.30.010.000.010.050.0200.040.010.00.040.0301.783.532.370.652.052.170.342.440.00.943.4700.070.0
22AF0061101200101610034001000.01.840.00.000.000.00.02.00.00.00.00.00.00.000.00.00.040.60.0400.220.040.00.160.00.00.000.060.00.000.00.00.000.00.00.00.00.000.00.00.00.00.00.00.00.00.00.00.000.00.0
23AF0061101200101620001002000.010.90.210.000.000.00.01.50.00.00.020.020.00.5400.00.00.381.550.002.1871.750.07.21.040.020.000.250.010.000.010.00.000.00.00.00.00.006.369.56.540.85.824.80.396.450.02.335.4200.140.0
24AF006110120010310003000000.00.00.00.000.000.00.01.00.00.00.00.00.00.000.00.00.03.20.000.00.00.00.00.00.00.000.810.00.000.00.00.000.00.00.00.00.000.00.00.00.00.00.00.00.00.00.00.000.00.0
25AF0060601300101610001004000.011.070.230.000.000.010.01.50.00.00.00.020.00.6800.010.00.590.80.5902.3387.870.06.00.60.030.0300.070.010.000.010.00.0100.00.00.00.00.003.145.454.051.313.632.390.213.80.02.422.6400.120.12
26AF0060601300101620005001000.750.250.10.00147.2600.731.382.00.00.010.040.170.01.900.01.51.586.380.006.840.260.050.823.10.10.001.210.050.0100.030.210.0800.160.030.020.170.1107.114.129.482.588.28.661.369.760.03.7613.8800.270.0
27AF006060130010420025001002.066.240.720.000.000.481.9280.00.00.020.020.160.0312.2400.090.0100.867.2100.80112.04.00.072.00.01.21.201.120.80.1200.440.07.9203.50.70.824.481.980252.0447.84238.450.4280.8231.260.56286.44.48108.0266.407.447.44
28AF006060130010620062001000.121.260.030.000.000.00.032.00.560.00.010.010.011.7300.010.00.22.520.203.280.060.613.280.50.040.0400.60.020.000.010.00.2800.00.00.00.00.003.545.861.382.54.322.90.66.040.03.1640.8400.110.11