Overview

Dataset statistics

Number of variables10
Number of observations14
Missing cells20
Missing cells (%)14.3%
Total size in memory1.2 KiB
Average record size in memory89.1 B

Variable types

Numeric10

Alerts

size_passing has 4 (28.6%) missing valuesMissing
density_lo has 8 (57.1%) missing valuesMissing
density_hi has 8 (57.1%) missing valuesMissing
mass_pct has unique valuesUnique
SiO2 has unique valuesUnique
P has unique valuesUnique
TiO2 has unique valuesUnique
size_retained has 1 (7.1%) zerosZeros

Reproduction

Analysis started2023-10-21 03:37:33.500883
Analysis finished2023-10-21 03:37:33.816478
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

size_retained
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1294285714
Minimum0
Maximum1
Zeros1
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:36.116466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.026
Q10.04
median0.063
Q30.1
95-th percentile0.415
Maximum1
Range1
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.2523354648
Coefficient of variation (CV)1.949611759
Kurtosis13.51602406
Mean0.1294285714
Median Absolute Deviation (MAD)0.023
Skewness3.650167458
Sum1.812
Variance0.06367318681
MonotonicityNot monotonic
2023-10-21T11:37:36.958185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0.1 4
28.6%
0.063 4
28.6%
0.04 4
28.6%
1 1
 
7.1%
0 1
 
7.1%
ValueCountFrequency (%)
0 1
 
7.1%
0.04 4
28.6%
0.063 4
28.6%
0.1 4
28.6%
1 1
 
7.1%
ValueCountFrequency (%)
1 1
 
7.1%
0.1 4
28.6%
0.063 4
28.6%
0.04 4
28.6%
0 1
 
7.1%

size_passing
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)40.0%
Missing4
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1692
Minimum0.04
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:37.627114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.05035
Q10.063
median0.0815
Q30.1
95-th percentile0.595
Maximum1
Range0.96
Interquartile range (IQR)0.037

Descriptive statistics

Standard deviation0.2927246715
Coefficient of variation (CV)1.73005125
Kurtosis9.848398151
Mean0.1692
Median Absolute Deviation (MAD)0.0185
Skewness3.129447097
Sum1.692
Variance0.08568773333
MonotonicityNot monotonic
2023-10-21T11:37:38.353487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0.1 4
28.6%
0.063 4
28.6%
1 1
 
7.1%
0.04 1
 
7.1%
(Missing) 4
28.6%
ValueCountFrequency (%)
0.04 1
 
7.1%
0.063 4
28.6%
0.1 4
28.6%
1 1
 
7.1%
ValueCountFrequency (%)
1 1
 
7.1%
0.1 4
28.6%
0.063 4
28.6%
0.04 1
 
7.1%

density_lo
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)33.3%
Missing8
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum2.7
Maximum3.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:38.952187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile2.7
Q12.7
median3
Q33.3
95-th percentile3.3
Maximum3.3
Range0.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.3286335345
Coefficient of variation (CV)0.1095445115
Kurtosis-3.333333333
Mean3
Median Absolute Deviation (MAD)0.3
Skewness0
Sum18
Variance0.108
MonotonicityNot monotonic
2023-10-21T11:37:39.431170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2.7 3
 
21.4%
3.3 3
 
21.4%
(Missing) 8
57.1%
ValueCountFrequency (%)
2.7 3
21.4%
3.3 3
21.4%
ValueCountFrequency (%)
3.3 3
21.4%
2.7 3
21.4%

density_hi
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)33.3%
Missing8
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum2.7
Maximum3.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:40.086480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile2.7
Q12.7
median3
Q33.3
95-th percentile3.3
Maximum3.3
Range0.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.3286335345
Coefficient of variation (CV)0.1095445115
Kurtosis-3.333333333
Mean3
Median Absolute Deviation (MAD)0.3
Skewness0
Sum18
Variance0.108
MonotonicityNot monotonic
2023-10-21T11:37:40.638280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2.7 3
 
21.4%
3.3 3
 
21.4%
(Missing) 8
57.1%
ValueCountFrequency (%)
2.7 3
21.4%
3.3 3
21.4%
ValueCountFrequency (%)
3.3 3
21.4%
2.7 3
21.4%

mass_pct
Real number (ℝ)

UNIQUE 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.57142857
Minimum0.4
Maximum76.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:41.093310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile2.935
Q110.175
median15.9
Q349.675
95-th percentile70.425
Maximum76.6
Range76.2
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation26.09053552
Coefficient of variation (CV)0.9131687434
Kurtosis-0.9197599436
Mean28.57142857
Median Absolute Deviation (MAD)9.85
Skewness0.8276641603
Sum400
Variance680.716044
MonotonicityNot monotonic
2023-10-21T11:37:41.841090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4 1
 
7.1%
67.1 1
 
7.1%
12.7 1
 
7.1%
8.2 1
 
7.1%
11.6 1
 
7.1%
54.2 1
 
7.1%
9.7 1
 
7.1%
36.1 1
 
7.1%
24 1
 
7.1%
11.9 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
0.4 1
7.1%
4.3 1
7.1%
8.2 1
7.1%
9.7 1
7.1%
11.6 1
7.1%
ValueCountFrequency (%)
76.6 1
7.1%
67.1 1
7.1%
64.1 1
7.1%
54.2 1
7.1%
36.1 1
7.1%

Fe
Real number (ℝ)

Distinct13
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.34285714
Minimum1.2
Maximum68.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:42.670790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.2
Q111.8
median18.7
Q328.2
95-th percentile68.21
Maximum68.6
Range67.4
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation24.12788729
Coefficient of variation (CV)0.9159176303
Kurtosis-0.1784104785
Mean26.34285714
Median Absolute Deviation (MAD)9.2
Skewness1.048960303
Sum368.8
Variance582.1549451
MonotonicityNot monotonic
2023-10-21T11:37:43.397139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.2 2
14.3%
22.7 1
 
7.1%
27.3 1
 
7.1%
18 1
 
7.1%
16.9 1
 
7.1%
19.4 1
 
7.1%
16.6 1
 
7.1%
68 1
 
7.1%
10.2 1
 
7.1%
67.1 1
 
7.1%
Other values (3) 3
21.4%
ValueCountFrequency (%)
1.2 2
14.3%
3.1 1
7.1%
10.2 1
7.1%
16.6 1
7.1%
16.9 1
7.1%
ValueCountFrequency (%)
68.6 1
7.1%
68 1
7.1%
67.1 1
7.1%
28.5 1
7.1%
27.3 1
7.1%

SiO2
Real number (ℝ)

UNIQUE 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.24285714
Minimum0.6
Maximum79.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:44.226111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.12
Q129.025
median51.25
Q357.625
95-th percentile79.045
Maximum79.5
Range78.9
Interquartile range (IQR)28.6

Descriptive statistics

Standard deviation27.28081079
Coefficient of variation (CV)0.6166150324
Kurtosis-0.7393594564
Mean44.24285714
Median Absolute Deviation (MAD)14.35
Skewness-0.600352259
Sum619.4
Variance744.2426374
MonotonicityNot monotonic
2023-10-21T11:37:44.955471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
50.9 1
 
7.1%
47.7 1
 
7.1%
57.8 1
 
7.1%
57.1 1
 
7.1%
51.6 1
 
7.1%
1.6 1
 
7.1%
42.6 1
 
7.1%
78.8 1
 
7.1%
79.5 1
 
7.1%
54 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
0.6 1
7.1%
1.4 1
7.1%
1.6 1
7.1%
24.5 1
7.1%
42.6 1
7.1%
ValueCountFrequency (%)
79.5 1
7.1%
78.8 1
7.1%
71.3 1
7.1%
57.8 1
7.1%
57.1 1
7.1%

P
Real number (ℝ)

UNIQUE 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6607142857
Minimum0.015
Maximum2.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:45.669871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.015
5-th percentile0.0267
Q10.0785
median0.31
Q30.8
95-th percentile2.481
Maximum2.78
Range2.765
Interquartile range (IQR)0.7215

Descriptive statistics

Standard deviation0.8661256285
Coefficient of variation (CV)1.310892843
Kurtosis2.371583551
Mean0.6607142857
Median Absolute Deviation (MAD)0.286
Skewness1.762235086
Sum9.25
Variance0.7501736044
MonotonicityNot monotonic
2023-10-21T11:37:46.458543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.042 1
 
7.1%
0.107 1
 
7.1%
0.44 1
 
7.1%
0.61 1
 
7.1%
0.65 1
 
7.1%
0.18 1
 
7.1%
0.98 1
 
7.1%
0.033 1
 
7.1%
0.015 1
 
7.1%
2.32 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
0.015 1
7.1%
0.033 1
7.1%
0.042 1
7.1%
0.069 1
7.1%
0.107 1
7.1%
ValueCountFrequency (%)
2.78 1
7.1%
2.32 1
7.1%
0.98 1
7.1%
0.85 1
7.1%
0.65 1
7.1%

TiO2
Real number (ℝ)

UNIQUE 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2712142857
Minimum0.06
Maximum0.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:47.177433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.0756
Q10.172
median0.2575
Q30.3625
95-th percentile0.4975
Maximum0.53
Range0.47
Interquartile range (IQR)0.1905

Descriptive statistics

Standard deviation0.1469469703
Coefficient of variation (CV)0.5418113207
Kurtosis-0.8284049694
Mean0.2712142857
Median Absolute Deviation (MAD)0.1
Skewness0.4032893925
Sum3.797
Variance0.02159341209
MonotonicityNot monotonic
2023-10-21T11:37:47.919830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.17 1
 
7.1%
0.178 1
 
7.1%
0.2 1
 
7.1%
0.235 1
 
7.1%
0.31 1
 
7.1%
0.084 1
 
7.1%
0.38 1
 
7.1%
0.285 1
 
7.1%
0.06 1
 
7.1%
0.28 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
0.06 1
7.1%
0.084 1
7.1%
0.145 1
7.1%
0.17 1
7.1%
0.178 1
7.1%
ValueCountFrequency (%)
0.53 1
7.1%
0.48 1
7.1%
0.46 1
7.1%
0.38 1
7.1%
0.31 1
7.1%

V
Real number (ℝ)

Distinct13
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01482857143
Minimum0.002
Maximum0.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size240.0 B
2023-10-21T11:37:48.624319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.00265
Q10.005625
median0.0071
Q30.0115
95-th percentile0.04695
Maximum0.11
Range0.108
Interquartile range (IQR)0.005875

Descriptive statistics

Standard deviation0.02760675582
Coefficient of variation (CV)1.861727271
Kurtosis13.46212371
Mean0.01482857143
Median Absolute Deviation (MAD)0.00255
Skewness3.641356596
Sum0.2076
Variance0.000762132967
MonotonicityNot monotonic
2023-10-21T11:37:49.353847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.013 2
14.3%
0.0049 1
 
7.1%
0.0062 1
 
7.1%
0.0056 1
 
7.1%
0.0057 1
 
7.1%
0.0072 1
 
7.1%
0.003 1
 
7.1%
0.01 1
 
7.1%
0.012 1
 
7.1%
0.007 1
 
7.1%
Other values (3) 3
21.4%
ValueCountFrequency (%)
0.002 1
7.1%
0.003 1
7.1%
0.0049 1
7.1%
0.0056 1
7.1%
0.0057 1
7.1%
ValueCountFrequency (%)
0.11 1
7.1%
0.013 2
14.3%
0.012 1
7.1%
0.01 1
7.1%
0.008 1
7.1%

Sample

size_retainedsize_passingdensity_lodensity_himass_pctFeSiO2PTiO2V
01.000NaNNaNNaN0.422.750.90.0420.1700.0049
10.1001.000NaNNaN67.127.347.70.1070.1780.0062
20.0630.100NaNNaN12.718.057.80.4400.2000.0056
30.0400.063NaNNaN8.216.957.10.6100.2350.0057
40.0000.040NaNNaN11.619.451.60.6500.3100.0072
50.100NaNNaN2.754.21.21.60.1800.0840.0030
60.100NaN2.73.39.716.642.60.9800.3800.0100
70.100NaN3.3NaN36.168.078.80.0330.2850.0120
80.0630.100NaN2.724.01.279.50.0150.0600.0070
90.0630.1002.73.311.910.254.02.3200.2800.0080