Overview

Dataset statistics

Number of variables4
Number of observations17
Missing cells0
Missing cells (%)0.0%
Total size in memory672.0 B
Average record size in memory39.5 B

Variable types

Numeric4

Dataset

DescriptionA particle size distribution, no assays. Source unknown.
URLUnknown

Alerts

Unnamed: 0 has unique valuesUnique
size_retained has unique valuesUnique
size_passing has unique valuesUnique
mass_pct has unique valuesUnique
Unnamed: 0 has 1 (5.9%) zerosZeros
size_retained has 1 (5.9%) zerosZeros

Reproduction

Analysis started2023-07-29 04:22:03.232460
Analysis finished2023-07-29 04:22:03.304050
Duration0.07 seconds
Software versionydata-profiling vv4.3.2
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

UNIQUE  ZEROS 

Distinct17
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8
Minimum0
Maximum16
Zeros1
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size264.0 B
2023-07-29T12:22:03.661833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8
Q14
median8
Q312
95-th percentile15.2
Maximum16
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.049752469
Coefficient of variation (CV)0.6312190586
Kurtosis-1.2
Mean8
Median Absolute Deviation (MAD)4
Skewness0
Sum136
Variance25.5
MonotonicityStrictly increasing
2023-07-29T12:22:04.016413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1
 
5.9%
9 1
 
5.9%
15 1
 
5.9%
14 1
 
5.9%
13 1
 
5.9%
12 1
 
5.9%
11 1
 
5.9%
10 1
 
5.9%
8 1
 
5.9%
1 1
 
5.9%
Other values (7) 7
41.2%
ValueCountFrequency (%)
0 1
5.9%
1 1
5.9%
2 1
5.9%
3 1
5.9%
4 1
5.9%
ValueCountFrequency (%)
16 1
5.9%
15 1
5.9%
14 1
5.9%
13 1
5.9%
12 1
5.9%

size_retained
Real number (ℝ)

UNIQUE  ZEROS 

Distinct17
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.89411765
Minimum0
Maximum53.8
Zeros1
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size264.0 B
2023-07-29T12:22:04.313838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.4
median5
Q313.3
95-th percentile41.24
Maximum53.8
Range53.8
Interquartile range (IQR)12.9

Descriptive statistics

Standard deviation15.47625078
Coefficient of variation (CV)1.420606173
Kurtosis2.853811609
Mean10.89411765
Median Absolute Deviation (MAD)4.8
Skewness1.79798962
Sum185.2
Variance239.5143382
MonotonicityStrictly decreasing
2023-07-29T12:22:04.592865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
53.8 1
 
5.9%
1 1
 
5.9%
0.1 1
 
5.9%
0.2 1
 
5.9%
0.3 1
 
5.9%
0.4 1
 
5.9%
0.6 1
 
5.9%
0.8 1
 
5.9%
5 1
 
5.9%
38.1 1
 
5.9%
Other values (7) 7
41.2%
ValueCountFrequency (%)
0 1
5.9%
0.1 1
5.9%
0.2 1
5.9%
0.3 1
5.9%
0.4 1
5.9%
ValueCountFrequency (%)
53.8 1
5.9%
38.1 1
5.9%
26.7 1
5.9%
18.8 1
5.9%
13.3 1
5.9%

size_passing
Real number (ℝ)

UNIQUE 

Distinct17
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.37647059
Minimum0.1
Maximum76.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size264.0 B
2023-07-29T12:22:04.879367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.18
Q10.6
median6.7
Q318.8
95-th percentile58.28
Maximum76.2
Range76.1
Interquartile range (IQR)18.2

Descriptive statistics

Standard deviation21.84726898
Coefficient of variation (CV)1.420824685
Kurtosis2.944242074
Mean15.37647059
Median Absolute Deviation (MAD)6.4
Skewness1.831870133
Sum261.4
Variance477.3031618
MonotonicityStrictly decreasing
2023-07-29T12:22:05.218142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
76.2 1
 
5.9%
5 1
 
5.9%
0.2 1
 
5.9%
0.3 1
 
5.9%
0.4 1
 
5.9%
0.6 1
 
5.9%
0.8 1
 
5.9%
1 1
 
5.9%
6.7 1
 
5.9%
53.8 1
 
5.9%
Other values (7) 7
41.2%
ValueCountFrequency (%)
0.1 1
5.9%
0.2 1
5.9%
0.3 1
5.9%
0.4 1
5.9%
0.6 1
5.9%
ValueCountFrequency (%)
76.2 1
5.9%
53.8 1
5.9%
38.1 1
5.9%
26.7 1
5.9%
18.8 1
5.9%

mass_pct
Real number (ℝ)

UNIQUE 

Distinct17
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.882352941
Minimum0.05207448373
Maximum20.21974609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size264.0 B
2023-07-29T12:22:05.599282image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.05207448373
5-th percentile0.09052693709
Q10.2391485411
median0.9217612322
Q312.18323357
95-th percentile17.71029562
Maximum20.21974609
Range20.16767161
Interquartile range (IQR)11.94408503

Descriptive statistics

Standard deviation7.143926587
Coefficient of variation (CV)1.21446752
Kurtosis-0.8749695693
Mean5.882352941
Median Absolute Deviation (MAD)0.8696867485
Skewness0.8644665521
Sum100
Variance51.03568708
MonotonicityNot monotonic
2023-07-29T12:22:05.895954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.05207448373 1
 
5.9%
20.21974609 1
 
5.9%
0.1675954202 1
 
5.9%
0.2079310444 1
 
5.9%
0.2391485411 1
 
5.9%
0.5529319476 1
 
5.9%
0.6335563582 1
 
5.9%
0.699547775 1
 
5.9%
9.643494892 1
 
5.9%
0.9217612322 1
 
5.9%
Other values (7) 7
41.2%
ValueCountFrequency (%)
0.05207448373 1
5.9%
0.1001400504 1
5.9%
0.1675954202 1
5.9%
0.2079310444 1
5.9%
0.2391485411 1
5.9%
ValueCountFrequency (%)
20.21974609 1
5.9%
17.082933 1
5.9%
14.62587563 1
5.9%
14.53408216 1
5.9%
12.18323357 1
5.9%

Sample

Unnamed: 0size_retainedsize_passingmass_pct
0053.876.20.052074
1138.153.80.921761
2226.738.15.134131
3318.826.712.183234
4413.318.817.082933
5510.013.314.625876
669.410.03.001817
776.79.414.534082
885.06.79.643495
991.05.020.219746