Overview

Dataset statistics

Number of variables6
Number of observations6
Missing cells0
Missing cells (%)0.0%
Total size in memory416.0 B
Average record size in memory69.3 B

Variable types

Numeric6

Alerts

size_retained has unique valuesUnique
size_passing has unique valuesUnique
mass_pct has unique valuesUnique
fe has unique valuesUnique
sio2 has unique valuesUnique
al2o3 has unique valuesUnique
size_retained has 1 (16.7%) zerosZeros

Reproduction

Analysis started2023-07-29 09:43:52.357342
Analysis finished2023-07-29 09:43:52.424266
Duration0.07 seconds
Software versionydata-profiling vv4.3.2
Download configurationconfig.json

Variables

size_retained
Real number (ℝ)

UNIQUE  ZEROS 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27
Minimum0
Maximum0.85
Zeros1
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:52.726335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01125
Q10.0525
median0.1125
Q30.4125
95-th percentile0.7625
Maximum0.85
Range0.85
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.3362290886
Coefficient of variation (CV)1.245292921
Kurtosis0.6235268101
Mean0.27
Median Absolute Deviation (MAD)0.09
Skewness1.318543253
Sum1.62
Variance0.11305
MonotonicityStrictly decreasing
2023-07-29T17:43:53.143888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.85 1
16.7%
0.5 1
16.7%
0.15 1
16.7%
0.075 1
16.7%
0.045 1
16.7%
0 1
16.7%
ValueCountFrequency (%)
0 1
16.7%
0.045 1
16.7%
0.075 1
16.7%
0.15 1
16.7%
0.5 1
16.7%
ValueCountFrequency (%)
0.85 1
16.7%
0.5 1
16.7%
0.15 1
16.7%
0.075 1
16.7%
0.045 1
16.7%

size_passing
Real number (ℝ)

UNIQUE 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6033333333
Minimum0.045
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:53.356089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.045
5-th percentile0.0525
Q10.09375
median0.325
Q30.7625
95-th percentile1.7125
Maximum2
Range1.955
Interquartile range (IQR)0.66875

Descriptive statistics

Standard deviation0.750810673
Coefficient of variation (CV)1.24443758
Kurtosis2.619138859
Mean0.6033333333
Median Absolute Deviation (MAD)0.265
Skewness1.64703168
Sum3.62
Variance0.5637166667
MonotonicityStrictly decreasing
2023-07-29T17:43:53.668578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1
16.7%
0.85 1
16.7%
0.5 1
16.7%
0.15 1
16.7%
0.075 1
16.7%
0.045 1
16.7%
ValueCountFrequency (%)
0.045 1
16.7%
0.075 1
16.7%
0.15 1
16.7%
0.5 1
16.7%
0.85 1
16.7%
ValueCountFrequency (%)
2 1
16.7%
0.85 1
16.7%
0.5 1
16.7%
0.15 1
16.7%
0.075 1
16.7%

mass_pct
Real number (ℝ)

UNIQUE 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.66666667
Minimum2.5
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:54.055758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.7
Q14.675
median9.35
Q322.35
95-th percentile43.375
Maximum49
Range46.5
Interquartile range (IQR)17.675

Descriptive statistics

Standard deviation18.05089102
Coefficient of variation (CV)1.083053461
Kurtosis1.532943912
Mean16.66666667
Median Absolute Deviation (MAD)6.45
Skewness1.465187226
Sum100
Variance325.8346667
MonotonicityNot monotonic
2023-07-29T17:43:54.350008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.3 1
16.7%
9.9 1
16.7%
26.5 1
16.7%
2.5 1
16.7%
8.8 1
16.7%
49 1
16.7%
ValueCountFrequency (%)
2.5 1
16.7%
3.3 1
16.7%
8.8 1
16.7%
9.9 1
16.7%
26.5 1
16.7%
ValueCountFrequency (%)
49 1
16.7%
26.5 1
16.7%
9.9 1
16.7%
8.8 1
16.7%
3.3 1
16.7%

fe
Real number (ℝ)

UNIQUE 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.40166667
Minimum55.95
Maximum64.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:54.626319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum55.95
5-th percentile57.625
Q162.69
median63.48
Q364.285
95-th percentile64.4725
Maximum64.52
Range8.57
Interquartile range (IQR)1.595

Descriptive statistics

Standard deviation3.259290823
Coefficient of variation (CV)0.05223082967
Kurtosis4.765977136
Mean62.40166667
Median Absolute Deviation (MAD)0.84
Skewness-2.135325858
Sum374.41
Variance10.62297667
MonotonicityNot monotonic
2023-07-29T17:43:54.933980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
64.15 1
16.7%
64.33 1
16.7%
64.52 1
16.7%
62.65 1
16.7%
62.81 1
16.7%
55.95 1
16.7%
ValueCountFrequency (%)
55.95 1
16.7%
62.65 1
16.7%
62.81 1
16.7%
64.15 1
16.7%
64.33 1
16.7%
ValueCountFrequency (%)
64.52 1
16.7%
64.33 1
16.7%
64.15 1
16.7%
62.81 1
16.7%
62.65 1
16.7%

sio2
Real number (ℝ)

UNIQUE 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.886666667
Minimum1.84
Maximum6.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:55.262023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.84
5-th percentile1.89
Q12.0425
median2.085
Q32.69
95-th percentile5.5125
Maximum6.39
Range4.55
Interquartile range (IQR)0.6475

Descriptive statistics

Standard deviation1.753484151
Coefficient of variation (CV)0.6074425464
Kurtosis5.092413179
Mean2.886666667
Median Absolute Deviation (MAD)0.145
Skewness2.2373064
Sum17.32
Variance3.074706667
MonotonicityNot monotonic
2023-07-29T17:43:55.535274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.04 1
16.7%
2.05 1
16.7%
1.84 1
16.7%
2.88 1
16.7%
2.12 1
16.7%
6.39 1
16.7%
ValueCountFrequency (%)
1.84 1
16.7%
2.04 1
16.7%
2.05 1
16.7%
2.12 1
16.7%
2.88 1
16.7%
ValueCountFrequency (%)
6.39 1
16.7%
2.88 1
16.7%
2.12 1
16.7%
2.05 1
16.7%
2.04 1
16.7%

al2o3
Real number (ℝ)

UNIQUE 

Distinct6
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.168333333
Minimum2.19
Maximum6.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size176.0 B
2023-07-29T17:43:55.794538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.19
5-th percentile2.2
Q12.235
median2.465
Q33.16
95-th percentile5.585
Maximum6.34
Range4.15
Interquartile range (IQR)0.925

Descriptive statistics

Standard deviation1.612568345
Coefficient of variation (CV)0.508964233
Kurtosis4.480176553
Mean3.168333333
Median Absolute Deviation (MAD)0.255
Skewness2.09300945
Sum19.01
Variance2.600376667
MonotonicityNot monotonic
2023-07-29T17:43:56.028703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.68 1
16.7%
2.23 1
16.7%
2.19 1
16.7%
3.32 1
16.7%
2.25 1
16.7%
6.34 1
16.7%
ValueCountFrequency (%)
2.19 1
16.7%
2.23 1
16.7%
2.25 1
16.7%
2.68 1
16.7%
3.32 1
16.7%
ValueCountFrequency (%)
6.34 1
16.7%
3.32 1
16.7%
2.68 1
16.7%
2.25 1
16.7%
2.23 1
16.7%

Sample

size_retainedsize_passingmass_pctfesio2al2o3
00.8502.0003.364.152.042.68
10.5000.8509.964.332.052.23
20.1500.50026.564.521.842.19
30.0750.1502.562.652.883.32
40.0450.0758.862.812.122.25
50.0000.04549.055.956.396.34