Overview

Dataset statistics

Number of variables26
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory237.6 B

Variable types

Text1
Numeric24
Categorical1

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000035

Alerts

AF007030000391 has unique valuesUnique
90.36 has unique valuesUnique
9.98 has unique valuesUnique
50.61 has unique valuesUnique
159.65 has unique valuesUnique
767.65 has unique valuesUnique
359.16 has unique valuesUnique
352.71 has unique valuesUnique
8.56 has unique valuesUnique
150.76 has unique valuesUnique
9.48 has unique valuesUnique
6.18 has unique valuesUnique
16.52 has unique valuesUnique
0.82 has unique valuesUnique
0 has 21 (72.4%) zerosZeros
3.17 has 3 (10.3%) zerosZeros
0.1 has 15 (51.7%) zerosZeros
0.6 has 2 (6.9%) zerosZeros
4.54 has 5 (17.2%) zerosZeros
29.56 has 2 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-10 06:22:31.926192
Analysis finished2023-12-10 06:22:32.231881
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007030000391
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:22:32.430269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters406
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowAF007030000233
2nd rowAF007030000392
3rd rowAF007030000001
4th rowAF007030000234
5th rowAF007030000235
ValueCountFrequency (%)
af007030000233 1
 
3.4%
af007030000244 1
 
3.4%
af007030000252 1
 
3.4%
af007030000003 1
 
3.4%
af007030000002 1
 
3.4%
af007030000226 1
 
3.4%
af007030000251 1
 
3.4%
af007030000250 1
 
3.4%
af007030000249 1
 
3.4%
af007030000248 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T15:22:32.999437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 211
52.0%
3 42
 
10.3%
7 33
 
8.1%
A 29
 
7.1%
F 29
 
7.1%
2 28
 
6.9%
4 14
 
3.4%
1 5
 
1.2%
5 5
 
1.2%
9 4
 
1.0%
Other values (2) 6
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
85.7%
Uppercase Letter 58
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
60.6%
3 42
 
12.1%
7 33
 
9.5%
2 28
 
8.0%
4 14
 
4.0%
1 5
 
1.4%
5 5
 
1.4%
9 4
 
1.1%
6 4
 
1.1%
8 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 29
50.0%
F 29
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
85.7%
Latin 58
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 211
60.6%
3 42
 
12.1%
7 33
 
9.5%
2 28
 
8.0%
4 14
 
4.0%
1 5
 
1.4%
5 5
 
1.4%
9 4
 
1.1%
6 4
 
1.1%
8 2
 
0.6%
Latin
ValueCountFrequency (%)
A 29
50.0%
F 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 211
52.0%
3 42
 
10.3%
7 33
 
8.1%
A 29
 
7.1%
F 29
 
7.1%
2 28
 
6.9%
4 14
 
3.4%
1 5
 
1.2%
5 5
 
1.2%
9 4
 
1.0%
Other values (2) 6
 
1.5%

90.36
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.55483
Minimum24.75
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:33.209848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.75
5-th percentile34.74
Q189.28
median128.7
Q3157.5
95-th percentile299.692
Maximum320
Range295.25
Interquartile range (IQR)68.22

Descriptive statistics

Standard deviation76.928005
Coefficient of variation (CV)0.56334885
Kurtosis0.58233999
Mean136.55483
Median Absolute Deviation (MAD)39.42
Skewness0.94050852
Sum3960.09
Variance5917.9179
MonotonicityNot monotonic
2023-12-10T15:22:33.438300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
128.7 1
 
3.4%
67.5 1
 
3.4%
105.66 1
 
3.4%
39.6 1
 
3.4%
131.67 1
 
3.4%
157.5 1
 
3.4%
99.45 1
 
3.4%
24.75 1
 
3.4%
211.32 1
 
3.4%
31.5 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
24.75 1
3.4%
31.5 1
3.4%
39.6 1
3.4%
55.08 1
3.4%
67.5 1
3.4%
73.89 1
3.4%
89.1 1
3.4%
89.28 1
3.4%
94.5 1
3.4%
99.45 1
3.4%
ValueCountFrequency (%)
320.0 1
3.4%
300.0 1
3.4%
299.23 1
3.4%
216.09 1
3.4%
211.32 1
3.4%
207.07 1
3.4%
174.6 1
3.4%
157.5 1
3.4%
156.47 1
3.4%
148.86 1
3.4%

0
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63655172
Minimum0
Maximum14.02
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:33.623897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile1.68
Maximum14.02
Range14.02
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation2.6101796
Coefficient of variation (CV)4.1004989
Kurtosis27.247941
Mean0.63655172
Median Absolute Deviation (MAD)0
Skewness5.1627737
Sum18.46
Variance6.8130377
MonotonicityNot monotonic
2023-12-10T15:22:33.806190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 21
72.4%
0.47 1
 
3.4%
14.02 1
 
3.4%
0.02 1
 
3.4%
0.01 1
 
3.4%
0.46 1
 
3.4%
0.18 1
 
3.4%
1.8 1
 
3.4%
1.5 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.18 1
 
3.4%
0.46 1
 
3.4%
0.47 1
 
3.4%
1.5 1
 
3.4%
1.8 1
 
3.4%
14.02 1
 
3.4%
ValueCountFrequency (%)
14.02 1
 
3.4%
1.8 1
 
3.4%
1.5 1
 
3.4%
0.47 1
 
3.4%
0.46 1
 
3.4%
0.18 1
 
3.4%
0.02 1
 
3.4%
0.01 1
 
3.4%
0.0 21
72.4%

0.42
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7631034
Minimum0.09
Maximum5.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:34.441532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.262
Q10.87
median1.38
Q32.49
95-th percentile3.722
Maximum5.14
Range5.05
Interquartile range (IQR)1.62

Descriptive statistics

Standard deviation1.2843345
Coefficient of variation (CV)0.728451
Kurtosis0.07751279
Mean1.7631034
Median Absolute Deviation (MAD)0.87
Skewness0.84380639
Sum51.13
Variance1.649515
MonotonicityNot monotonic
2023-12-10T15:22:34.728620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.03 2
 
6.9%
0.87 1
 
3.4%
3.27 1
 
3.4%
2.09 1
 
3.4%
0.58 1
 
3.4%
0.55 1
 
3.4%
1.22 1
 
3.4%
3.79 1
 
3.4%
0.09 1
 
3.4%
3.62 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.09 1
3.4%
0.21 1
3.4%
0.34 1
3.4%
0.47 1
3.4%
0.51 1
3.4%
0.55 1
3.4%
0.58 1
3.4%
0.87 1
3.4%
1.01 1
3.4%
1.03 2
6.9%
ValueCountFrequency (%)
5.14 1
3.4%
3.79 1
3.4%
3.62 1
3.4%
3.55 1
3.4%
3.31 1
3.4%
3.27 1
3.4%
2.84 1
3.4%
2.49 1
3.4%
2.33 1
3.4%
2.27 1
3.4%

3.17
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.141724
Minimum0
Maximum51.59
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:34.952561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.9
median18.19
Q330.18
95-th percentile38.042
Maximum51.59
Range51.59
Interquartile range (IQR)26.28

Descriptive statistics

Standard deviation14.71086
Coefficient of variation (CV)0.81088547
Kurtosis-0.90261821
Mean18.141724
Median Absolute Deviation (MAD)12.45
Skewness0.38764175
Sum526.11
Variance216.40941
MonotonicityNot monotonic
2023-12-10T15:22:35.210806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 3
 
10.3%
10.53 1
 
3.4%
1.51 1
 
3.4%
1.38 1
 
3.4%
11.92 1
 
3.4%
13.85 1
 
3.4%
2.99 1
 
3.4%
19.86 1
 
3.4%
21.42 1
 
3.4%
37.43 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.0 3
10.3%
1.34 1
 
3.4%
1.38 1
 
3.4%
1.51 1
 
3.4%
2.99 1
 
3.4%
3.9 1
 
3.4%
6.68 1
 
3.4%
8.16 1
 
3.4%
8.87 1
 
3.4%
10.53 1
 
3.4%
ValueCountFrequency (%)
51.59 1
3.4%
38.45 1
3.4%
37.43 1
3.4%
36.75 1
3.4%
35.09 1
3.4%
33.9 1
3.4%
30.64 1
3.4%
30.18 1
3.4%
29.54 1
3.4%
27.09 1
3.4%

0.18
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13793103
Minimum0.02
Maximum0.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:35.474674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.044
Q10.08
median0.11
Q30.16
95-th percentile0.31
Maximum0.41
Range0.39
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.091783103
Coefficient of variation (CV)0.66542749
Kurtosis1.9283423
Mean0.13793103
Median Absolute Deviation (MAD)0.04
Skewness1.4312267
Sum4
Variance0.0084241379
MonotonicityNot monotonic
2023-12-10T15:22:35.725594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.08 5
17.2%
0.1 3
 
10.3%
0.07 2
 
6.9%
0.24 2
 
6.9%
0.13 2
 
6.9%
0.12 2
 
6.9%
0.41 1
 
3.4%
0.04 1
 
3.4%
0.06 1
 
3.4%
0.05 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.02 1
 
3.4%
0.04 1
 
3.4%
0.05 1
 
3.4%
0.06 1
 
3.4%
0.07 2
 
6.9%
0.08 5
17.2%
0.1 3
10.3%
0.11 1
 
3.4%
0.12 2
 
6.9%
0.13 2
 
6.9%
ValueCountFrequency (%)
0.41 1
3.4%
0.35 1
3.4%
0.25 1
3.4%
0.24 2
6.9%
0.23 1
3.4%
0.21 1
3.4%
0.16 1
3.4%
0.15 1
3.4%
0.14 1
3.4%
0.13 2
6.9%

0.22
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23310345
Minimum0.04
Maximum0.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:35.985610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.064
Q10.13
median0.24
Q30.32
95-th percentile0.386
Maximum0.51
Range0.47
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.11889682
Coefficient of variation (CV)0.51006031
Kurtosis-0.63801984
Mean0.23310345
Median Absolute Deviation (MAD)0.09
Skewness0.19488021
Sum6.76
Variance0.014136453
MonotonicityNot monotonic
2023-12-10T15:22:36.233934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.35 2
 
6.9%
0.12 2
 
6.9%
0.32 2
 
6.9%
0.26 1
 
3.4%
0.39 1
 
3.4%
0.28 1
 
3.4%
0.33 1
 
3.4%
0.1 1
 
3.4%
0.2 1
 
3.4%
0.06 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.04 1
3.4%
0.06 1
3.4%
0.07 1
3.4%
0.08 1
3.4%
0.1 1
3.4%
0.12 2
6.9%
0.13 1
3.4%
0.15 1
3.4%
0.16 1
3.4%
0.17 1
3.4%
ValueCountFrequency (%)
0.51 1
3.4%
0.39 1
3.4%
0.38 1
3.4%
0.36 1
3.4%
0.35 2
6.9%
0.33 1
3.4%
0.32 2
6.9%
0.31 1
3.4%
0.3 1
3.4%
0.28 1
3.4%

0.04
Real number (ℝ)

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1237931
Minimum0.01
Maximum0.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:36.464453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.02
Q10.07
median0.1
Q30.16
95-th percentile0.228
Maximum0.63
Range0.62
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.11359118
Coefficient of variation (CV)0.9175889
Kurtosis14.329788
Mean0.1237931
Median Absolute Deviation (MAD)0.04
Skewness3.3239977
Sum3.59
Variance0.012902956
MonotonicityNot monotonic
2023-12-10T15:22:36.667374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.08 4
13.8%
0.11 3
10.3%
0.16 3
10.3%
0.06 2
 
6.9%
0.1 2
 
6.9%
0.02 2
 
6.9%
0.09 2
 
6.9%
0.21 2
 
6.9%
0.24 1
 
3.4%
0.14 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.01 1
 
3.4%
0.02 2
6.9%
0.04 1
 
3.4%
0.05 1
 
3.4%
0.06 2
6.9%
0.07 1
 
3.4%
0.08 4
13.8%
0.09 2
6.9%
0.1 2
6.9%
0.11 3
10.3%
ValueCountFrequency (%)
0.63 1
 
3.4%
0.24 1
 
3.4%
0.21 2
6.9%
0.17 1
 
3.4%
0.16 3
10.3%
0.15 1
 
3.4%
0.14 1
 
3.4%
0.11 3
10.3%
0.1 2
6.9%
0.09 2
6.9%

9.98
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.14931
Minimum1.54
Maximum94.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:36.920188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.54
5-th percentile12.96
Q138.39
median45.22
Q370.27
95-th percentile90.862
Maximum94.45
Range92.91
Interquartile range (IQR)31.88

Descriptive statistics

Standard deviation24.021329
Coefficient of variation (CV)0.46963152
Kurtosis-0.37855746
Mean51.14931
Median Absolute Deviation (MAD)15.7
Skewness-0.028375691
Sum1483.33
Variance577.02423
MonotonicityNot monotonic
2023-12-10T15:22:37.177716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
30.09 1
 
3.4%
1.54 1
 
3.4%
73.82 1
 
3.4%
26.03 1
 
3.4%
71.24 1
 
3.4%
81.27 1
 
3.4%
86.8 1
 
3.4%
59.47 1
 
3.4%
70.27 1
 
3.4%
93.57 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1.54 1
3.4%
5.02 1
3.4%
24.87 1
3.4%
26.03 1
3.4%
28.98 1
3.4%
30.09 1
3.4%
31.96 1
3.4%
38.39 1
3.4%
39.16 1
3.4%
39.69 1
3.4%
ValueCountFrequency (%)
94.45 1
3.4%
93.57 1
3.4%
86.8 1
3.4%
81.27 1
3.4%
77.1 1
3.4%
73.82 1
3.4%
71.24 1
3.4%
70.27 1
3.4%
61.69 1
3.4%
60.92 1
3.4%

50.61
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.19931
Minimum10.08
Maximum197.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:37.404871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.08
5-th percentile15.418
Q132.49
median55.9
Q385.49
95-th percentile147.622
Maximum197.32
Range187.24
Interquartile range (IQR)53

Descriptive statistics

Standard deviation43.920744
Coefficient of variation (CV)0.6535892
Kurtosis1.5723503
Mean67.19931
Median Absolute Deviation (MAD)28.27
Skewness1.1620879
Sum1948.78
Variance1929.0317
MonotonicityNot monotonic
2023-12-10T15:22:37.668087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
55.9 1
 
3.4%
33.18 1
 
3.4%
139.54 1
 
3.4%
75.14 1
 
3.4%
98.38 1
 
3.4%
110.98 1
 
3.4%
81.11 1
 
3.4%
51.01 1
 
3.4%
71.32 1
 
3.4%
21.85 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
10.08 1
3.4%
11.31 1
3.4%
21.58 1
3.4%
21.85 1
3.4%
26.81 1
3.4%
27.63 1
3.4%
32.06 1
3.4%
32.49 1
3.4%
33.18 1
3.4%
45.8 1
3.4%
ValueCountFrequency (%)
197.32 1
3.4%
153.01 1
3.4%
139.54 1
3.4%
110.98 1
3.4%
102.74 1
3.4%
98.38 1
3.4%
88.69 1
3.4%
85.49 1
3.4%
84.31 1
3.4%
81.11 1
3.4%

159.65
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.75552
Minimum35.34
Maximum290.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:37.874662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.34
5-th percentile68.694
Q1108.76
median129.09
Q3180.15
95-th percentile282.64
Maximum290.26
Range254.92
Interquartile range (IQR)71.39

Descriptive statistics

Standard deviation66.744825
Coefficient of variation (CV)0.44868807
Kurtosis-0.030545123
Mean148.75552
Median Absolute Deviation (MAD)38.71
Skewness0.73067221
Sum4313.91
Variance4454.8717
MonotonicityNot monotonic
2023-12-10T15:22:38.092600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
178.66 1
 
3.4%
140.69 1
 
3.4%
126.25 1
 
3.4%
149.85 1
 
3.4%
105.19 1
 
3.4%
117.79 1
 
3.4%
145.94 1
 
3.4%
122.83 1
 
3.4%
228.97 1
 
3.4%
75.45 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35.34 1
3.4%
64.19 1
3.4%
75.45 1
3.4%
77.89 1
3.4%
82.52 1
3.4%
90.38 1
3.4%
105.19 1
3.4%
108.76 1
3.4%
114.2 1
3.4%
114.83 1
3.4%
ValueCountFrequency (%)
290.26 1
3.4%
285.5 1
3.4%
278.35 1
3.4%
246.46 1
3.4%
228.97 1
3.4%
198.54 1
3.4%
190.44 1
3.4%
180.15 1
3.4%
178.66 1
3.4%
155.08 1
3.4%

767.65
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550.83414
Minimum37.77
Maximum2516.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:38.299930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.77
5-th percentile153.066
Q1333.41
median493.6
Q3666.72
95-th percentile955.36
Maximum2516.42
Range2478.65
Interquartile range (IQR)333.31

Descriptive statistics

Standard deviation441.9584
Coefficient of variation (CV)0.80234387
Kurtosis14.213694
Mean550.83414
Median Absolute Deviation (MAD)173.12
Skewness3.2672624
Sum15974.19
Variance195327.22
MonotonicityNot monotonic
2023-12-10T15:22:38.510926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
752.97 1
 
3.4%
497.49 1
 
3.4%
284.3 1
 
3.4%
246.54 1
 
3.4%
341.62 1
 
3.4%
470.79 1
 
3.4%
588.06 1
 
3.4%
176.22 1
 
3.4%
137.63 1
 
3.4%
293.5 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
37.77 1
3.4%
137.63 1
3.4%
176.22 1
3.4%
228.08 1
3.4%
246.54 1
3.4%
284.3 1
3.4%
293.5 1
3.4%
333.41 1
3.4%
340.41 1
3.4%
341.62 1
3.4%
ValueCountFrequency (%)
2516.42 1
3.4%
964.22 1
3.4%
942.07 1
3.4%
766.75 1
3.4%
752.97 1
3.4%
719.0 1
3.4%
667.43 1
3.4%
666.72 1
3.4%
617.46 1
3.4%
598.79 1
3.4%

359.16
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510.36724
Minimum83.2
Maximum1336.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:38.713393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.2
5-th percentile131.352
Q1334.71
median420.3
Q3542.29
95-th percentile1114.38
Maximum1336.45
Range1253.25
Interquartile range (IQR)207.58

Descriptive statistics

Standard deviation308.49943
Coefficient of variation (CV)0.60446557
Kurtosis1.0208273
Mean510.36724
Median Absolute Deviation (MAD)112.42
Skewness1.2219978
Sum14800.65
Variance95171.896
MonotonicityNot monotonic
2023-12-10T15:22:38.936693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
413.55 1
 
3.4%
257.87 1
 
3.4%
413.32 1
 
3.4%
421.39 1
 
3.4%
334.71 1
 
3.4%
412.28 1
 
3.4%
446.15 1
 
3.4%
83.2 1
 
3.4%
1107.15 1
 
3.4%
84.6 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
83.2 1
3.4%
84.6 1
3.4%
201.48 1
3.4%
257.87 1
3.4%
275.2 1
3.4%
293.13 1
3.4%
326.31 1
3.4%
334.71 1
3.4%
375.26 1
3.4%
381.79 1
3.4%
ValueCountFrequency (%)
1336.45 1
3.4%
1119.2 1
3.4%
1107.15 1
3.4%
974.69 1
3.4%
917.22 1
3.4%
720.38 1
3.4%
673.23 1
3.4%
542.29 1
3.4%
532.72 1
3.4%
484.85 1
3.4%

352.71
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474.71448
Minimum47.99
Maximum839.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:39.193461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.99
5-th percentile184.678
Q1246.12
median494.86
Q3685.65
95-th percentile811.656
Maximum839.86
Range791.87
Interquartile range (IQR)439.53

Descriptive statistics

Standard deviation228.2967
Coefficient of variation (CV)0.48091369
Kurtosis-1.2049161
Mean474.71448
Median Absolute Deviation (MAD)220.65
Skewness-0.029362454
Sum13766.72
Variance52119.381
MonotonicityNot monotonic
2023-12-10T15:22:39.429393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
494.86 1
 
3.4%
280.68 1
 
3.4%
234.14 1
 
3.4%
215.49 1
 
3.4%
200.47 1
 
3.4%
270.28 1
 
3.4%
174.15 1
 
3.4%
47.99 1
 
3.4%
799.2 1
 
3.4%
507.6 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
47.99 1
3.4%
174.15 1
3.4%
200.47 1
3.4%
215.49 1
3.4%
221.2 1
3.4%
231.69 1
3.4%
234.14 1
3.4%
246.12 1
3.4%
270.28 1
3.4%
280.68 1
3.4%
ValueCountFrequency (%)
839.86 1
3.4%
819.96 1
3.4%
799.2 1
3.4%
768.16 1
3.4%
717.04 1
3.4%
715.51 1
3.4%
710.94 1
3.4%
685.65 1
3.4%
622.49 1
3.4%
587.23 1
3.4%

8.56
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.905862
Minimum1.2
Maximum52.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:39.688278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.008
Q110.56
median23.4
Q332.69
95-th percentile47.23
Maximum52.15
Range50.95
Interquartile range (IQR)22.13

Descriptive statistics

Standard deviation14.360694
Coefficient of variation (CV)0.62694403
Kurtosis-0.58792206
Mean22.905862
Median Absolute Deviation (MAD)9.36
Skewness0.2043214
Sum664.27
Variance206.22952
MonotonicityNot monotonic
2023-12-10T15:22:39.908634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6.82 1
 
3.4%
2.54 1
 
3.4%
9.49 1
 
3.4%
51.75 1
 
3.4%
23.4 1
 
3.4%
32.76 1
 
3.4%
10.56 1
 
3.4%
1.2 1
 
3.4%
32.28 1
 
3.4%
2.0 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1.2 1
3.4%
2.0 1
3.4%
2.02 1
3.4%
2.54 1
3.4%
6.4 1
3.4%
6.82 1
3.4%
9.49 1
3.4%
10.56 1
3.4%
15.34 1
3.4%
16.87 1
3.4%
ValueCountFrequency (%)
52.15 1
3.4%
51.75 1
3.4%
40.45 1
3.4%
39.16 1
3.4%
36.27 1
3.4%
35.7 1
3.4%
32.76 1
3.4%
32.69 1
3.4%
32.28 1
3.4%
29.5 1
3.4%

0.89
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.49
Minimum0.54
Maximum2.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:40.138054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile0.628
Q11.23
median1.48
Q31.88
95-th percentile2.202
Maximum2.25
Range1.71
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.51580727
Coefficient of variation (CV)0.34617938
Kurtosis-0.97795976
Mean1.49
Median Absolute Deviation (MAD)0.38
Skewness-0.24705708
Sum43.21
Variance0.26605714
MonotonicityNot monotonic
2023-12-10T15:22:40.358326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.24 2
 
6.9%
1.47 1
 
3.4%
2.16 1
 
3.4%
1.48 1
 
3.4%
1.38 1
 
3.4%
1.1 1
 
3.4%
1.25 1
 
3.4%
1.23 1
 
3.4%
1.67 1
 
3.4%
1.85 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.54 1
3.4%
0.58 1
3.4%
0.7 1
3.4%
0.79 1
3.4%
0.87 1
3.4%
0.93 1
3.4%
1.1 1
3.4%
1.23 1
3.4%
1.24 2
6.9%
1.25 1
3.4%
ValueCountFrequency (%)
2.25 1
3.4%
2.21 1
3.4%
2.19 1
3.4%
2.16 1
3.4%
2.14 1
3.4%
1.98 1
3.4%
1.91 1
3.4%
1.88 1
3.4%
1.86 1
3.4%
1.85 1
3.4%

0.1
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.493103
Minimum0
Maximum285
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:40.565572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320.77
95-th percentile191.498
Maximum285
Range285
Interquartile range (IQR)20.77

Descriptive statistics

Standard deviation72.607123
Coefficient of variation (CV)2.0456685
Kurtosis5.8286472
Mean35.493103
Median Absolute Deviation (MAD)0
Skewness2.4609589
Sum1029.3
Variance5271.7943
MonotonicityNot monotonic
2023-12-10T15:22:40.776178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 15
51.7%
0.01 1
 
3.4%
47.99 1
 
3.4%
87.18 1
 
3.4%
3.01 1
 
3.4%
0.34 1
 
3.4%
4.18 1
 
3.4%
109.35 1
 
3.4%
118.1 1
 
3.4%
20.77 1
 
3.4%
Other values (5) 5
 
17.2%
ValueCountFrequency (%)
0.0 15
51.7%
0.01 1
 
3.4%
0.34 1
 
3.4%
1.47 1
 
3.4%
3.01 1
 
3.4%
4.18 1
 
3.4%
19.47 1
 
3.4%
20.77 1
 
3.4%
47.99 1
 
3.4%
87.18 1
 
3.4%
ValueCountFrequency (%)
285.0 1
3.4%
240.43 1
3.4%
118.1 1
3.4%
109.35 1
3.4%
92.0 1
3.4%
87.18 1
3.4%
47.99 1
3.4%
20.77 1
3.4%
19.47 1
3.4%
4.18 1
3.4%

0.6
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1793103
Minimum0
Maximum10.09
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:40.971112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.21
median0.47
Q31.7
95-th percentile3.08
Maximum10.09
Range10.09
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation1.9335218
Coefficient of variation (CV)1.6395361
Kurtosis16.752804
Mean1.1793103
Median Absolute Deviation (MAD)0.41
Skewness3.7628118
Sum34.2
Variance3.7385067
MonotonicityNot monotonic
2023-12-10T15:22:41.192261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 2
 
6.9%
0.89 2
 
6.9%
0.18 2
 
6.9%
0.47 1
 
3.4%
1.98 1
 
3.4%
2.16 1
 
3.4%
0.36 1
 
3.4%
0.13 1
 
3.4%
2.75 1
 
3.4%
3.3 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.0 2
6.9%
0.06 1
3.4%
0.09 1
3.4%
0.13 1
3.4%
0.18 2
6.9%
0.21 1
3.4%
0.22 1
3.4%
0.25 1
3.4%
0.35 1
3.4%
0.36 1
3.4%
ValueCountFrequency (%)
10.09 1
3.4%
3.3 1
3.4%
2.75 1
3.4%
2.18 1
3.4%
2.16 1
3.4%
1.98 1
3.4%
1.77 1
3.4%
1.7 1
3.4%
1.05 1
3.4%
1.01 1
3.4%

0.2
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
21 
0.01
5 
0.11
 
1
0.03
 
1
0.1
 
1

Length

Max length4
Median length3
Mean length3.2413793
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 21
72.4%
0.01 5
 
17.2%
0.11 1
 
3.4%
0.03 1
 
3.4%
0.1 1
 
3.4%

Length

2023-12-10T15:22:41.424452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:41.623534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
72.4%
0.01 5
 
17.2%
0.11 1
 
3.4%
0.03 1
 
3.4%
0.1 1
 
3.4%

150.76
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.57379
Minimum38.78
Maximum308.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:41.958449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.78
5-th percentile79.462
Q1112.17
median139.12
Q3196.08
95-th percentile261.962
Maximum308.6
Range269.82
Interquartile range (IQR)83.91

Descriptive statistics

Standard deviation64.357158
Coefficient of variation (CV)0.41103403
Kurtosis-0.1490787
Mean156.57379
Median Absolute Deviation (MAD)30.21
Skewness0.64557077
Sum4540.64
Variance4141.8437
MonotonicityNot monotonic
2023-12-10T15:22:42.177270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.27 1
 
3.4%
120.07 1
 
3.4%
133.23 1
 
3.4%
242.58 1
 
3.4%
75.81 1
 
3.4%
84.94 1
 
3.4%
158.71 1
 
3.4%
101.34 1
 
3.4%
255.89 1
 
3.4%
99.55 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
38.78 1
3.4%
75.81 1
3.4%
84.94 1
3.4%
99.55 1
3.4%
101.34 1
3.4%
108.48 1
3.4%
108.91 1
3.4%
112.17 1
3.4%
117.43 1
3.4%
120.07 1
3.4%
ValueCountFrequency (%)
308.6 1
3.4%
266.01 1
3.4%
255.89 1
3.4%
242.58 1
3.4%
239.58 1
3.4%
236.52 1
3.4%
222.09 1
3.4%
196.08 1
3.4%
164.14 1
3.4%
160.9 1
3.4%

9.48
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.407586
Minimum0.79
Maximum34.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:42.363601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.79
5-th percentile6.352
Q19.58
median15.68
Q320.58
95-th percentile26.39
Maximum34.94
Range34.15
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.4532024
Coefficient of variation (CV)0.48373589
Kurtosis0.29370994
Mean15.407586
Median Absolute Deviation (MAD)5.5
Skewness0.42526258
Sum446.82
Variance55.550226
MonotonicityNot monotonic
2023-12-10T15:22:42.568456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7.48 1
 
3.4%
0.79 1
 
3.4%
10.1 1
 
3.4%
9.58 1
 
3.4%
8.91 1
 
3.4%
14.32 1
 
3.4%
7.12 1
 
3.4%
9.47 1
 
3.4%
9.82 1
 
3.4%
20.6 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.79 1
3.4%
5.84 1
3.4%
7.12 1
3.4%
7.48 1
3.4%
8.47 1
3.4%
8.91 1
3.4%
9.47 1
3.4%
9.58 1
3.4%
9.82 1
3.4%
10.1 1
3.4%
ValueCountFrequency (%)
34.94 1
3.4%
27.85 1
3.4%
24.2 1
3.4%
22.1 1
3.4%
21.17 1
3.4%
20.93 1
3.4%
20.6 1
3.4%
20.58 1
3.4%
19.73 1
3.4%
19.01 1
3.4%

4.54
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2941379
Minimum0
Maximum9.8
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:42.810563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.62
median1.01
Q32.93
95-th percentile8.106
Maximum9.8
Range9.8
Interquartile range (IQR)2.31

Descriptive statistics

Standard deviation2.6043474
Coefficient of variation (CV)1.1352183
Kurtosis2.7333248
Mean2.2941379
Median Absolute Deviation (MAD)1.01
Skewness1.7086382
Sum66.53
Variance6.7826251
MonotonicityNot monotonic
2023-12-10T15:22:43.021267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 5
17.2%
0.84 5
17.2%
2.93 2
 
6.9%
0.62 2
 
6.9%
1.01 2
 
6.9%
1.96 1
 
3.4%
4.89 1
 
3.4%
2.2 1
 
3.4%
1.14 1
 
3.4%
6.03 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 5
17.2%
0.5 1
 
3.4%
0.62 2
 
6.9%
0.84 5
17.2%
1.01 2
 
6.9%
1.14 1
 
3.4%
1.96 1
 
3.4%
2.2 1
 
3.4%
2.3 1
 
3.4%
2.68 1
 
3.4%
ValueCountFrequency (%)
9.8 1
3.4%
9.49 1
3.4%
6.03 1
3.4%
4.89 1
3.4%
4.33 1
3.4%
4.15 1
3.4%
3.74 1
3.4%
2.93 2
6.9%
2.68 1
3.4%
2.3 1
3.4%

6.18
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6958621
Minimum0.24
Maximum25.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:43.332404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.24
5-th percentile1.284
Q12.66
median4.93
Q37.81
95-th percentile18.562
Maximum25.04
Range24.8
Interquartile range (IQR)5.15

Descriptive statistics

Standard deviation5.9001105
Coefficient of variation (CV)0.88115771
Kurtosis2.9790424
Mean6.6958621
Median Absolute Deviation (MAD)2.88
Skewness1.6828451
Sum194.18
Variance34.811304
MonotonicityNot monotonic
2023-12-10T15:22:43.551098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.19 1
 
3.4%
5.73 1
 
3.4%
7.14 1
 
3.4%
21.49 1
 
3.4%
2.66 1
 
3.4%
1.06 1
 
3.4%
9.98 1
 
3.4%
4.92 1
 
3.4%
12.1 1
 
3.4%
0.24 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.24 1
3.4%
1.06 1
3.4%
1.62 1
3.4%
1.66 1
3.4%
1.74 1
3.4%
1.81 1
3.4%
2.01 1
3.4%
2.66 1
3.4%
2.87 1
3.4%
3.19 1
3.4%
ValueCountFrequency (%)
25.04 1
3.4%
21.49 1
3.4%
14.17 1
3.4%
12.62 1
3.4%
12.1 1
3.4%
10.79 1
3.4%
9.98 1
3.4%
7.81 1
3.4%
7.74 1
3.4%
7.14 1
3.4%

16.52
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9213793
Minimum1.21
Maximum23.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:43.744591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.21
5-th percentile3.264
Q15.5
median7.57
Q312.47
95-th percentile22.45
Maximum23.46
Range22.25
Interquartile range (IQR)6.97

Descriptive statistics

Standard deviation6.38994
Coefficient of variation (CV)0.64405763
Kurtosis-0.22897732
Mean9.9213793
Median Absolute Deviation (MAD)2.93
Skewness0.92622093
Sum287.72
Variance40.831334
MonotonicityNot monotonic
2023-12-10T15:22:43.953428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
17.31 1
 
3.4%
15.6 1
 
3.4%
7.57 1
 
3.4%
6.57 1
 
3.4%
5.92 1
 
3.4%
6.44 1
 
3.4%
9.54 1
 
3.4%
7.37 1
 
3.4%
22.06 1
 
3.4%
4.64 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1.21 1
3.4%
3.2 1
3.4%
3.36 1
3.4%
3.52 1
3.4%
4.48 1
3.4%
4.64 1
3.4%
5.29 1
3.4%
5.5 1
3.4%
5.54 1
3.4%
5.92 1
3.4%
ValueCountFrequency (%)
23.46 1
3.4%
22.71 1
3.4%
22.06 1
3.4%
20.89 1
3.4%
17.31 1
3.4%
16.66 1
3.4%
15.6 1
3.4%
12.47 1
3.4%
11.77 1
3.4%
10.11 1
3.4%

0.82
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9727586
Minimum0.07
Maximum7.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:44.172213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.416
Q12.13
median2.59
Q33.36
95-th percentile6.458
Maximum7.9
Range7.83
Interquartile range (IQR)1.23

Descriptive statistics

Standard deviation1.7986501
Coefficient of variation (CV)0.60504411
Kurtosis1.4131774
Mean2.9727586
Median Absolute Deviation (MAD)0.74
Skewness1.0570525
Sum86.21
Variance3.2351421
MonotonicityNot monotonic
2023-12-10T15:22:44.752642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.15 1
 
3.4%
0.07 1
 
3.4%
2.0 1
 
3.4%
2.98 1
 
3.4%
2.32 1
 
3.4%
3.33 1
 
3.4%
0.62 1
 
3.4%
3.5 1
 
3.4%
2.4 1
 
3.4%
7.9 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.07 1
3.4%
0.28 1
3.4%
0.62 1
3.4%
1.41 1
3.4%
1.49 1
3.4%
1.83 1
3.4%
2.0 1
3.4%
2.13 1
3.4%
2.15 1
3.4%
2.32 1
3.4%
ValueCountFrequency (%)
7.9 1
3.4%
6.97 1
3.4%
5.69 1
3.4%
5.39 1
3.4%
5.18 1
3.4%
3.58 1
3.4%
3.5 1
3.4%
3.36 1
3.4%
3.33 1
3.4%
3.17 1
3.4%

29.56
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.50931
Minimum0
Maximum1007.67
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:22:44.963356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.59
median38.81
Q3123.07
95-th percentile251.742
Maximum1007.67
Range1007.67
Interquartile range (IQR)122.48

Descriptive statistics

Standard deviation190.60854
Coefficient of variation (CV)1.9957064
Kurtosis19.937632
Mean95.50931
Median Absolute Deviation (MAD)38.74
Skewness4.1900392
Sum2769.77
Variance36331.617
MonotonicityNot monotonic
2023-12-10T15:22:45.210204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 2
 
6.9%
38.81 1
 
3.4%
77.5 1
 
3.4%
0.59 1
 
3.4%
9.34 1
 
3.4%
140.32 1
 
3.4%
176.91 1
 
3.4%
0.01 1
 
3.4%
1007.67 1
 
3.4%
229.35 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.0 2
6.9%
0.01 1
3.4%
0.03 1
3.4%
0.07 1
3.4%
0.31 1
3.4%
0.35 1
3.4%
0.59 1
3.4%
3.6 1
3.4%
6.47 1
3.4%
9.34 1
3.4%
ValueCountFrequency (%)
1007.67 1
3.4%
266.67 1
3.4%
229.35 1
3.4%
176.91 1
3.4%
150.99 1
3.4%
143.99 1
3.4%
140.32 1
3.4%
123.07 1
3.4%
91.66 1
3.4%
79.18 1
3.4%

Sample

AF00703000039190.3600.423.170.180.220.049.9850.61159.65767.65359.16352.718.560.890.10.60.2150.769.484.546.1816.520.8229.56
0AF007030000233128.70.00.8710.530.160.260.0430.0955.9178.66752.97413.55494.866.821.470.00.00.0126.277.481.963.1917.312.1591.66
1AF00703000039267.50.03.311.510.130.180.011.5433.18140.69497.49257.87280.682.540.790.010.420.0120.070.790.05.7315.60.070.31
2AF00703000000173.890.01.368.160.020.040.139.6921.5835.34387.89275.2221.215.340.540.00.210.038.785.840.02.011.212.1359.26
3AF007030000234135.90.02.276.680.070.510.0238.3932.4982.52719.0448.64466.7635.70.930.00.890.0132.3918.92.935.53.525.1812.92
4AF00703000023594.50.01.5627.090.10.230.1131.9627.6377.89483.16293.13435.6927.550.870.01.010.01154.0122.10.56.563.361.496.47
5AF007030000236143.190.02.333.90.070.380.0739.16153.01190.44964.22375.26246.1218.42.250.02.180.01236.5218.899.814.1711.773.3612.95
6AF00703000039355.080.470.211.340.350.160.025.0210.08114.83570.5917.22231.6918.30.5847.9910.090.11308.610.184.3325.0410.110.280.07
7AF007030000237216.0914.021.0835.090.210.350.6345.2271.85285.5493.61119.2839.8624.792.1487.181.70.0239.5819.730.627.7422.712.4762.96
8AF007030000238207.070.020.3418.190.110.250.0546.3288.69246.46502.35974.69584.646.42.213.010.00.0196.0810.840.627.8120.892.5244.93
9AF007030000239299.230.02.8419.170.230.360.0943.34102.74290.262516.421336.45710.9420.481.980.00.590.0266.0113.274.1512.6223.462.4879.18
AF00703000039190.3600.423.170.180.220.049.9850.61159.65767.65359.16352.718.560.890.10.60.2150.769.484.546.1816.520.8229.56
19AF007030000147320.00.181.0137.430.250.170.1477.126.81127.73666.72542.29587.2329.51.2419.470.540.0108.4815.681.141.749.533.17143.99
20AF00703000024889.10.03.6221.420.10.320.0894.4545.8155.08340.41484.85685.6552.151.880.00.350.0128.6119.010.842.878.615.69229.35
21AF00703000024931.50.00.090.00.080.070.1693.5721.8575.45293.584.6507.62.01.910.00.060.099.5520.62.20.244.647.90.0
22AF007030000250211.320.03.7919.860.240.120.1170.2771.32228.97137.631107.15799.232.281.8592.03.30.1255.899.820.012.122.062.41007.67
23AF00703000025124.750.01.220.00.080.060.1159.4751.01122.83176.2283.247.991.21.670.00.180.0101.349.472.934.927.373.50.01
24AF00703000022699.451.80.552.990.050.20.0686.881.11145.94588.06446.15174.1510.561.23285.02.750.0158.717.120.09.989.540.62176.91
25AF007030000002157.50.00.5813.850.080.120.0881.27110.98117.79470.79412.28270.2832.761.250.00.130.084.9414.320.841.066.443.33140.32
26AF007030000003131.670.01.0311.920.060.10.0871.2498.38105.19341.62334.71200.4723.41.10.00.360.075.818.910.02.665.922.329.34
27AF00703000025239.60.02.090.00.040.330.0826.0375.14149.85246.54421.39215.4951.751.380.02.160.01242.589.580.8421.496.572.980.59
28AF007030000227105.661.51.031.380.080.280.0973.82139.54126.25284.3413.32234.149.491.48240.431.980.0133.2310.11.017.147.572.077.5