Overview

Dataset statistics

Number of variables19
Number of observations126
Missing cells0
Missing cells (%)0.0%
Total size in memory18.8 KiB
Average record size in memory153.0 B

Variable types

Numeric18
Text1

Dataset

DescriptionA cleaned subset of A072391_assay.csv merged with A072391_collars.csv to get position (x,y,z). From the WAMEX database.
URLhttps://www.dmp.wa.gov.au/WAMEX-Minerals-Exploration-1476.aspx

Alerts

df_index has unique valuesUnique
MnO has 31 (24.6%) zerosZeros
Na2O has 15 (11.9%) zerosZeros

Reproduction

Analysis started2023-07-29 07:50:42.218332
Analysis finished2023-07-29 07:50:43.531408
Duration1.31 second
Software versionydata-profiling vv4.3.2
Download configurationconfig.json

Variables

df_index
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum0
Maximum125
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:43.993879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.25
Q131.25
median62.5
Q393.75
95-th percentile118.75
Maximum125
Range125
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation36.51711927
Coefficient of variation (CV)0.5842739084
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31.5
Skewness0
Sum7875
Variance1333.5
MonotonicityStrictly increasing
2023-07-29T15:50:44.441164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
0 1
0.8%
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
ValueCountFrequency (%)
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%

mass_dry
Real number (ℝ)

Distinct107
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.72768254
Minimum1.8
Maximum25.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:44.778266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile1.93
Q116.925
median17.535
Q319.6675
95-th percentile23.27
Maximum25.2
Range23.4
Interquartile range (IQR)2.7425

Descriptive statistics

Standard deviation6.803641747
Coefficient of variation (CV)0.4325902262
Kurtosis0.3671603861
Mean15.72768254
Median Absolute Deviation (MAD)1.015
Skewness-1.299861691
Sum1981.688
Variance46.28954102
MonotonicityNot monotonic
2023-07-29T15:50:45.181047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.06 4
 
3.2%
1.92 3
 
2.4%
16.84 3
 
2.4%
19.7 2
 
1.6%
17.37 2
 
1.6%
17.41 2
 
1.6%
17.69 2
 
1.6%
17.58 2
 
1.6%
17.4 2
 
1.6%
17.3 2
 
1.6%
Other values (97) 102
81.0%
ValueCountFrequency (%)
1.8 1
 
0.8%
1.85 1
 
0.8%
1.87 1
 
0.8%
1.91 1
 
0.8%
1.92 3
2.4%
ValueCountFrequency (%)
25.2 1
0.8%
25.07 1
0.8%
24.75 1
0.8%
24.33 1
0.8%
24.29 1
0.8%

H2O
Real number (ℝ)

Distinct101
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.13531746
Minimum0.23
Maximum7.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:45.580849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.33
Q10.6925
median1.045
Q33.9775
95-th percentile5.395
Maximum7.27
Range7.04
Interquartile range (IQR)3.285

Descriptive statistics

Standard deviation1.885349278
Coefficient of variation (CV)0.8829362906
Kurtosis-0.7906886187
Mean2.13531746
Median Absolute Deviation (MAD)0.56
Skewness0.8216908303
Sum269.05
Variance3.554541898
MonotonicityNot monotonic
2023-07-29T15:50:45.869270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.62 4
 
3.2%
0.33 4
 
3.2%
1.05 3
 
2.4%
0.95 3
 
2.4%
0.77 2
 
1.6%
0.84 2
 
1.6%
0.91 2
 
1.6%
3.82 2
 
1.6%
5.42 2
 
1.6%
0.49 2
 
1.6%
Other values (91) 100
79.4%
ValueCountFrequency (%)
0.23 2
1.6%
0.32 2
1.6%
0.33 4
3.2%
0.34 1
 
0.8%
0.35 1
 
0.8%
ValueCountFrequency (%)
7.27 1
0.8%
6.63 1
0.8%
6.06 1
0.8%
5.9 1
0.8%
5.66 1
0.8%

MgO
Real number (ℝ)

Distinct16
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07547619048
Minimum0.03
Maximum0.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:46.160275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.04
Q10.05
median0.06
Q30.09
95-th percentile0.13
Maximum0.26
Range0.23
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03513646864
Coefficient of variation (CV)0.4655304993
Kurtosis6.169021918
Mean0.07547619048
Median Absolute Deviation (MAD)0.01
Skewness2.00422469
Sum9.51
Variance0.001234571429
MonotonicityNot monotonic
2023-07-29T15:50:46.490125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.06 32
25.4%
0.05 25
19.8%
0.07 14
11.1%
0.11 11
 
8.7%
0.04 10
 
7.9%
0.08 9
 
7.1%
0.12 7
 
5.6%
0.13 4
 
3.2%
0.1 4
 
3.2%
0.09 3
 
2.4%
Other values (6) 7
 
5.6%
ValueCountFrequency (%)
0.03 2
 
1.6%
0.04 10
 
7.9%
0.05 25
19.8%
0.06 32
25.4%
0.07 14
11.1%
ValueCountFrequency (%)
0.26 1
0.8%
0.2 1
0.8%
0.17 1
0.8%
0.16 1
0.8%
0.15 1
0.8%

MnO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1273015873
Minimum0
Maximum0.64
Zeros31
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:46.763177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.12
Q30.18
95-th percentile0.365
Maximum0.64
Range0.64
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.116037323
Coefficient of variation (CV)0.9115151304
Kurtosis2.640409929
Mean0.1273015873
Median Absolute Deviation (MAD)0.08
Skewness1.272190107
Sum16.04
Variance0.01346466032
MonotonicityNot monotonic
2023-07-29T15:50:47.074149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 31
24.6%
0.09 9
 
7.1%
0.17 6
 
4.8%
0.1 5
 
4.0%
0.11 5
 
4.0%
0.16 5
 
4.0%
0.13 5
 
4.0%
0.12 5
 
4.0%
0.14 5
 
4.0%
0.2 5
 
4.0%
Other values (22) 45
35.7%
ValueCountFrequency (%)
0 31
24.6%
0.03 4
 
3.2%
0.04 3
 
2.4%
0.05 1
 
0.8%
0.06 1
 
0.8%
ValueCountFrequency (%)
0.64 1
 
0.8%
0.47 1
 
0.8%
0.4 2
1.6%
0.37 3
2.4%
0.35 2
1.6%

Al2O3
Real number (ℝ)

Distinct91
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.659444444
Minimum0.75
Maximum4.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:47.462491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.75
5-th percentile0.8725
Q11.285
median1.53
Q31.9575
95-th percentile2.5125
Maximum4.55
Range3.8
Interquartile range (IQR)0.6725

Descriptive statistics

Standard deviation0.6142238101
Coefficient of variation (CV)0.3701382183
Kurtosis4.94156953
Mean1.659444444
Median Absolute Deviation (MAD)0.31
Skewness1.6932758
Sum209.09
Variance0.3772708889
MonotonicityNot monotonic
2023-07-29T15:50:47.909179image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.41 4
 
3.2%
1.54 3
 
2.4%
1.21 3
 
2.4%
1.28 3
 
2.4%
0.87 3
 
2.4%
1.49 3
 
2.4%
1.96 2
 
1.6%
2.22 2
 
1.6%
1.31 2
 
1.6%
1.77 2
 
1.6%
Other values (81) 99
78.6%
ValueCountFrequency (%)
0.75 1
 
0.8%
0.83 1
 
0.8%
0.84 2
1.6%
0.87 3
2.4%
0.88 2
1.6%
ValueCountFrequency (%)
4.55 1
0.8%
4.03 1
0.8%
3.55 1
0.8%
3.26 1
0.8%
3 1
0.8%

P
Real number (ℝ)

Distinct53
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04093650794
Minimum0.016
Maximum0.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:48.350740image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.016
5-th percentile0.019
Q10.027
median0.039
Q30.04875
95-th percentile0.081
Maximum0.11
Range0.094
Interquartile range (IQR)0.02175

Descriptive statistics

Standard deviation0.01926976742
Coefficient of variation (CV)0.4707232833
Kurtosis1.74685505
Mean0.04093650794
Median Absolute Deviation (MAD)0.011
Skewness1.286388403
Sum5.158
Variance0.0003713239365
MonotonicityNot monotonic
2023-07-29T15:50:48.761053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.039 7
 
5.6%
0.022 6
 
4.8%
0.043 6
 
4.8%
0.035 5
 
4.0%
0.021 5
 
4.0%
0.038 5
 
4.0%
0.04 5
 
4.0%
0.042 4
 
3.2%
0.028 4
 
3.2%
0.02 4
 
3.2%
Other values (43) 75
59.5%
ValueCountFrequency (%)
0.016 2
1.6%
0.017 2
1.6%
0.018 2
1.6%
0.019 3
2.4%
0.02 4
3.2%
ValueCountFrequency (%)
0.11 1
0.8%
0.102 1
0.8%
0.095 1
0.8%
0.094 1
0.8%
0.088 1
0.8%

Fe
Real number (ℝ)

Distinct107
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.15
Minimum57.07
Maximum66.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:49.323753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum57.07
5-th percentile58.7
Q159.82
median60.46
Q361.915
95-th percentile65.6475
Maximum66.35
Range9.28
Interquartile range (IQR)2.095

Descriptive statistics

Standard deviation2.097679861
Coefficient of variation (CV)0.03430384074
Kurtosis0.2382460776
Mean61.15
Median Absolute Deviation (MAD)0.8
Skewness0.9717206108
Sum7704.9
Variance4.4002608
MonotonicityNot monotonic
2023-07-29T15:50:49.661621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.83 2
 
1.6%
60.44 2
 
1.6%
59.74 2
 
1.6%
59.86 2
 
1.6%
60.24 2
 
1.6%
59.73 2
 
1.6%
59.82 2
 
1.6%
58.7 2
 
1.6%
59.7 2
 
1.6%
60.19 2
 
1.6%
Other values (97) 106
84.1%
ValueCountFrequency (%)
57.07 1
0.8%
57.31 1
0.8%
57.49 1
0.8%
58.27 1
0.8%
58.62 1
0.8%
ValueCountFrequency (%)
66.35 1
0.8%
66.18 1
0.8%
66.05 1
0.8%
65.9 1
0.8%
65.87 1
0.8%

SiO2
Real number (ℝ)

Distinct95
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.75452381
Minimum1.51
Maximum7.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:49.948409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.51
5-th percentile1.8725
Q12.1925
median2.405
Q33.095
95-th percentile4.4
Maximum7.02
Range5.51
Interquartile range (IQR)0.9025

Descriptive statistics

Standard deviation0.9081397312
Coefficient of variation (CV)0.3296902819
Kurtosis4.338650988
Mean2.75452381
Median Absolute Deviation (MAD)0.415
Skewness1.812447137
Sum347.07
Variance0.8247177714
MonotonicityNot monotonic
2023-07-29T15:50:50.240723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.22 4
 
3.2%
2.2 4
 
3.2%
1.97 4
 
3.2%
2.85 4
 
3.2%
2.25 4
 
3.2%
2.19 3
 
2.4%
2 3
 
2.4%
2.4 3
 
2.4%
2.31 3
 
2.4%
3.05 2
 
1.6%
Other values (85) 92
73.0%
ValueCountFrequency (%)
1.51 1
0.8%
1.61 1
0.8%
1.62 1
0.8%
1.69 1
0.8%
1.75 1
0.8%
ValueCountFrequency (%)
7.02 1
0.8%
5.76 1
0.8%
5.71 1
0.8%
4.93 1
0.8%
4.59 1
0.8%

TiO2
Real number (ℝ)

Distinct58
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06127777778
Minimum0.03
Maximum0.259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:50.561611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.037
Q10.04525
median0.0545
Q30.0645
95-th percentile0.09875
Maximum0.259
Range0.229
Interquartile range (IQR)0.01925

Descriptive statistics

Standard deviation0.02894508978
Coefficient of variation (CV)0.4723586727
Kurtosis19.23895342
Mean0.06127777778
Median Absolute Deviation (MAD)0.0095
Skewness3.650867578
Sum7.721
Variance0.0008378182222
MonotonicityNot monotonic
2023-07-29T15:50:50.857913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.052 6
 
4.8%
0.051 5
 
4.0%
0.042 5
 
4.0%
0.057 5
 
4.0%
0.058 5
 
4.0%
0.047 4
 
3.2%
0.045 4
 
3.2%
0.06 4
 
3.2%
0.044 4
 
3.2%
0.061 4
 
3.2%
Other values (48) 80
63.5%
ValueCountFrequency (%)
0.03 1
0.8%
0.032 1
0.8%
0.034 1
0.8%
0.035 1
0.8%
0.036 1
0.8%
ValueCountFrequency (%)
0.259 1
0.8%
0.179 1
0.8%
0.156 1
0.8%
0.131 1
0.8%
0.125 1
0.8%

CaO
Real number (ℝ)

Distinct21
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09753968254
Minimum0.02
Maximum1.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:51.172328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.02
Q10.03
median0.04
Q30.0575
95-th percentile0.1775
Maximum1.88
Range1.86
Interquartile range (IQR)0.0275

Descriptive statistics

Standard deviation0.2644259791
Coefficient of variation (CV)2.710957963
Kurtosis29.05289186
Mean0.09753968254
Median Absolute Deviation (MAD)0.01
Skewness5.378997332
Sum12.29
Variance0.06992109841
MonotonicityNot monotonic
2023-07-29T15:50:51.449536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.03 37
29.4%
0.02 24
19.0%
0.04 23
18.3%
0.05 10
 
7.9%
0.07 5
 
4.0%
0.09 4
 
3.2%
0.06 4
 
3.2%
0.16 3
 
2.4%
0.08 2
 
1.6%
0.17 2
 
1.6%
Other values (11) 12
 
9.5%
ValueCountFrequency (%)
0.02 24
19.0%
0.03 37
29.4%
0.04 23
18.3%
0.05 10
 
7.9%
0.06 4
 
3.2%
ValueCountFrequency (%)
1.88 1
0.8%
1.49 1
0.8%
1.37 1
0.8%
1.32 1
0.8%
0.3 1
0.8%

Na2O
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.015
Minimum0
Maximum0.06
Zeros15
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:51.748157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.01
Q30.02
95-th percentile0.03
Maximum0.06
Range0.06
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01041153207
Coefficient of variation (CV)0.6941021379
Kurtosis2.097250767
Mean0.015
Median Absolute Deviation (MAD)0.01
Skewness1.080403998
Sum1.89
Variance0.0001084
MonotonicityNot monotonic
2023-07-29T15:50:51.985801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.01 60
47.6%
0.02 31
24.6%
0.03 15
 
11.9%
0 15
 
11.9%
0.04 4
 
3.2%
0.06 1
 
0.8%
ValueCountFrequency (%)
0 15
 
11.9%
0.01 60
47.6%
0.02 31
24.6%
0.03 15
 
11.9%
0.04 4
 
3.2%
ValueCountFrequency (%)
0.06 1
 
0.8%
0.04 4
 
3.2%
0.03 15
 
11.9%
0.02 31
24.6%
0.01 60
47.6%

K2O
Real number (ℝ)

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01373015873
Minimum0.01
Maximum0.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:52.267166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.01
median0.01
Q30.02
95-th percentile0.02
Maximum0.03
Range0.02
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.005759739853
Coefficient of variation (CV)0.4194955037
Kurtosis0.6709788589
Mean0.01373015873
Median Absolute Deviation (MAD)0
Skewness1.278654412
Sum1.73
Variance3.317460317 × 10-5
MonotonicityNot monotonic
2023-07-29T15:50:52.631583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.01 85
67.5%
0.02 35
27.8%
0.03 6
 
4.8%
ValueCountFrequency (%)
0.01 85
67.5%
0.02 35
27.8%
0.03 6
 
4.8%
ValueCountFrequency (%)
0.03 6
 
4.8%
0.02 35
27.8%
0.01 85
67.5%

DHID
Text

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:53.093521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters630
Distinct characters8
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowCBS02
2nd rowCBS02
3rd rowCBS02
4th rowCBS02
5th rowCBS02
ValueCountFrequency (%)
cbs13 32
25.4%
cbs12 28
22.2%
cbs02 23
18.3%
cbs04 17
13.5%
cbs10 16
12.7%
cbs03 10
 
7.9%
2023-07-29T15:50:53.921132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 126
20.0%
B 126
20.0%
S 126
20.0%
1 76
12.1%
0 66
10.5%
2 51
8.1%
3 42
 
6.7%
4 17
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 378
60.0%
Decimal Number 252
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 76
30.2%
0 66
26.2%
2 51
20.2%
3 42
16.7%
4 17
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 126
33.3%
B 126
33.3%
S 126
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 378
60.0%
Common 252
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 76
30.2%
0 66
26.2%
2 51
20.2%
3 42
16.7%
4 17
 
6.7%
Latin
ValueCountFrequency (%)
C 126
33.3%
B 126
33.3%
S 126
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 126
20.0%
B 126
20.0%
S 126
20.0%
1 76
12.1%
0 66
10.5%
2 51
8.1%
3 42
 
6.7%
4 17
 
2.7%

interval_from
Real number (ℝ)

Distinct117
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.88730159
Minimum7.5
Maximum39.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:54.308512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile9.275
Q116.1
median25.925
Q331.2
95-th percentile36.375
Maximum39.25
Range31.75
Interquartile range (IQR)15.1

Descriptive statistics

Standard deviation8.940706765
Coefficient of variation (CV)0.3742870132
Kurtosis-1.205554447
Mean23.88730159
Median Absolute Deviation (MAD)7.075
Skewness-0.244324502
Sum3009.8
Variance79.93623746
MonotonicityNot monotonic
2023-07-29T15:50:54.701874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 2
 
1.6%
13 2
 
1.6%
9 2
 
1.6%
16.4 2
 
1.6%
31.5 2
 
1.6%
31.2 2
 
1.6%
30.7 2
 
1.6%
28 2
 
1.6%
27.7 2
 
1.6%
27.5 1
 
0.8%
Other values (107) 107
84.9%
ValueCountFrequency (%)
7.5 1
0.8%
7.8 1
0.8%
8.2 1
0.8%
8.4 1
0.8%
9 2
1.6%
ValueCountFrequency (%)
39.25 1
0.8%
38.85 1
0.8%
38.2 1
0.8%
37.6 1
0.8%
37.25 1
0.8%

interval_to
Real number (ℝ)

Distinct115
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.28492063
Minimum7.8
Maximum39.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:55.123060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile9.675
Q116.475
median26.325
Q331.5
95-th percentile36.7625
Maximum39.6
Range31.8
Interquartile range (IQR)15.025

Descriptive statistics

Standard deviation8.911965597
Coefficient of variation (CV)0.3669752819
Kurtosis-1.201826545
Mean24.28492063
Median Absolute Deviation (MAD)7.075
Skewness-0.2398996641
Sum3059.9
Variance79.42313079
MonotonicityNot monotonic
2023-07-29T15:50:55.545935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.9 2
 
1.6%
17.8 2
 
1.6%
28 2
 
1.6%
9 2
 
1.6%
16.4 2
 
1.6%
27.1 2
 
1.6%
13 2
 
1.6%
30.7 2
 
1.6%
10.5 2
 
1.6%
31.2 2
 
1.6%
Other values (105) 106
84.1%
ValueCountFrequency (%)
7.8 1
0.8%
8.2 1
0.8%
9 2
1.6%
9.2 1
0.8%
9.5 1
0.8%
ValueCountFrequency (%)
39.6 1
0.8%
39.25 1
0.8%
38.85 1
0.8%
38.2 1
0.8%
37.6 1
0.8%

x
Real number (ℝ)

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726278.6587
Minimum725394
Maximum727599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:55.891122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum725394
5-th percentile725394
Q1725445
median726000
Q3727205
95-th percentile727599
Maximum727599
Range2205
Interquartile range (IQR)1760

Descriptive statistics

Standard deviation879.4699418
Coefficient of variation (CV)0.001210926318
Kurtosis-1.565570026
Mean726278.6587
Median Absolute Deviation (MAD)606
Skewness0.4282157511
Sum91511111
Variance773467.3786
MonotonicityDecreasing
2023-07-29T15:50:56.185320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
725394 32
25.4%
725598 28
22.2%
727599 23
18.3%
726996 17
13.5%
726000 16
12.7%
727205 10
 
7.9%
ValueCountFrequency (%)
725394 32
25.4%
725598 28
22.2%
726000 16
12.7%
726996 17
13.5%
727205 10
 
7.9%
ValueCountFrequency (%)
727599 23
18.3%
727205 10
 
7.9%
726996 17
13.5%
726000 16
12.7%
725598 28
22.2%

y
Real number (ℝ)

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7534602.216
Minimum7533996.374
Maximum7535000.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:56.405010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7533996.374
5-th percentile7533996.374
Q17533998.476
median7534993.174
Q37535000.871
95-th percentile7535000.94
Maximum7535000.94
Range1004.566
Interquartile range (IQR)1002.39475

Descriptive statistics

Standard deviation491.3994346
Coefficient of variation (CV)6.521902823 × 10-5
Kurtosis-1.84729145
Mean7534602.216
Median Absolute Deviation (MAD)7.766000001
Skewness-0.4268111009
Sum949359879.2
Variance241473.4044
MonotonicityNot monotonic
2023-07-29T15:50:56.727839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7535000.94 32
25.4%
7535000.663 28
22.2%
7533998.476 23
18.3%
7534000.652 17
13.5%
7534993.174 16
12.7%
7533996.374 10
 
7.9%
ValueCountFrequency (%)
7533996.374 10
 
7.9%
7533998.476 23
18.3%
7534000.652 17
13.5%
7534993.174 16
12.7%
7535000.663 28
22.2%
ValueCountFrequency (%)
7535000.94 32
25.4%
7535000.663 28
22.2%
7534993.174 16
12.7%
7534000.652 17
13.5%
7533998.476 23
18.3%

z
Real number (ℝ)

Distinct122
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.2075397
Minimum377.575
Maximum415.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-07-29T15:50:57.031259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum377.575
5-th percentile380.43125
Q1388.35
median395.6125
Q3403.2375
95-th percentile413.275
Maximum415.3
Range37.725
Interquartile range (IQR)14.8875

Descriptive statistics

Standard deviation10.23024158
Coefficient of variation (CV)0.02582041115
Kurtosis-0.8954495915
Mean396.2075397
Median Absolute Deviation (MAD)7.4375
Skewness0.1945415201
Sum49922.15
Variance104.6578427
MonotonicityNot monotonic
2023-07-29T15:50:57.323846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
397.8 2
 
1.6%
398.25 2
 
1.6%
411.25 2
 
1.6%
390.7 2
 
1.6%
398.275 1
 
0.8%
391.075 1
 
0.8%
393.6 1
 
0.8%
393.1 1
 
0.8%
392.275 1
 
0.8%
391.475 1
 
0.8%
Other values (112) 112
88.9%
ValueCountFrequency (%)
377.575 1
0.8%
377.95 1
0.8%
378.475 1
0.8%
379.1 1
0.8%
379.575 1
0.8%
ValueCountFrequency (%)
415.3 1
0.8%
414.7 1
0.8%
414.35 1
0.8%
414.15 1
0.8%
414 1
0.8%

Sample

indexmass_dryH2OMgOMnOAl2O3PFeSiO2TiO2CaONa2OK2ODHIDinterval_frominterval_toxyz
002.120.350.070.01.480.01964.303.230.0800.040.010.03CBS0226.6026.85727599.07533998.476398.275
112.060.230.060.01.280.01764.912.900.0820.040.010.03CBS0226.8527.10727599.07533998.476398.025
221.910.230.060.01.010.01665.092.390.0590.030.010.02CBS0227.7028.00727599.07533998.476397.150
331.960.360.060.00.990.02265.032.220.0570.040.010.02CBS0228.0028.30727599.07533998.476396.850
442.060.400.050.00.750.01665.871.690.0400.030.010.01CBS0228.6028.95727599.07533998.476396.225
552.050.330.060.00.870.02165.822.000.0550.030.010.02CBS0228.9529.30727599.07533998.476395.875
662.000.320.050.00.840.02165.901.930.0490.040.010.02CBS0229.3029.60727599.07533998.476395.550
772.010.330.050.00.830.01965.641.970.0460.040.010.02CBS0229.6029.90727599.07533998.476395.250
882.010.320.060.00.990.02165.412.210.0560.030.010.02CBS0229.9030.30727599.07533998.476394.900
991.921.050.050.00.970.02165.302.250.0520.030.010.02CBS0230.3030.70727599.07533998.476394.500