Overview

Dataset statistics

Number of variables20
Number of observations569
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.0 KiB
Average record size in memory160.2 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 02:05:28.111605
Analysis finished2020-08-25 02:06:23.533718
Duration55.42 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Radius1 is highly correlated with Area3 and 2 other fieldsHigh correlation
Area3 is highly correlated with Radius1 and 2 other fieldsHigh correlation
Area2 is highly correlated with Perimeter2High correlation
Perimeter2 is highly correlated with Area2High correlation
Perimeter3 is highly correlated with Area3 and 2 other fieldsHigh correlation
Perimeter1 is highly correlated with Area3 and 2 other fieldsHigh correlation
Concave_points3 has 13 (2.3%) zeros Zeros
Concave_points2 has 13 (2.3%) zeros Zeros
Concavity2 has 13 (2.3%) zeros Zeros

Variables

Concave_points3
Real number (ℝ≥0)

ZEROS

Distinct count217
Unique (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11460984182776802
Minimum0.0
Maximum0.29100000000000004
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T02:06:23.576983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0244
Q10.065
median0.1
Q30.161
95-th percentile0.2372
Maximum0.291
Range0.291
Interquartile range (IQR)0.096

Descriptive statistics

Standard deviation0.06572568078
Coefficient of variation (CV)0.5734732701
Kurtosis-0.5355934737
Mean0.1146098418
Median Absolute Deviation (MAD)0.045
Skewness0.4925821451
Sum65.213
Variance0.004319865114
2020-08-25T02:06:23.690773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132.3%
 
0.083101.8%
 
0.082101.8%
 
0.05691.6%
 
0.06591.6%
 
0.1181.4%
 
0.07981.4%
 
0.10271.2%
 
0.04871.2%
 
0.06371.2%
 
0.15671.2%
 
0.08471.2%
 
0.07461.1%
 
0.09161.1%
 
0.12261.1%
 
0.05861.1%
 
0.0861.1%
 
0.16150.9%
 
0.0750.9%
 
0.02850.9%
 
0.14250.9%
 
0.17850.9%
 
0.10550.9%
 
0.05950.9%
 
0.09750.9%
 
Other values (192)39769.8%
 
ValueCountFrequency (%) 
0132.3%
 
0.00920.4%
 
0.0110.2%
 
0.01120.4%
 
0.01410.2%
 
0.01610.2%
 
0.01710.2%
 
0.01910.2%
 
0.0210.2%
 
0.02110.2%
 
ValueCountFrequency (%) 
0.29110.2%
 
0.2910.2%
 
0.28710.2%
 
0.27610.2%
 
0.27310.2%
 
0.2710.2%
 
0.26910.2%
 
0.26810.2%
 
0.26520.4%
 
0.26210.2%
 

Compactness2
Real number (ℝ≥0)

Distinct count81
Unique (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025488576449912127
Minimum0.002
Maximum0.135
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:23.806265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.008
Q10.013
median0.02
Q30.032
95-th percentile0.0606
Maximum0.135
Range0.133
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01791697282
Coefficient of variation (CV)0.7029412904
Kurtosis5.076182949
Mean0.02548857645
Median Absolute Deviation (MAD)0.009
Skewness1.900517803
Sum14.503
Variance0.000321017915
2020-08-25T02:06:23.919158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.014325.6%
 
0.012295.1%
 
0.011244.2%
 
0.018234.0%
 
0.009223.9%
 
0.016203.5%
 
0.015193.3%
 
0.023183.2%
 
0.02173.0%
 
0.013162.8%
 
0.008152.6%
 
0.01142.5%
 
0.019142.5%
 
0.021142.5%
 
0.017142.5%
 
0.031142.5%
 
0.022132.3%
 
0.032122.1%
 
0.027122.1%
 
0.025111.9%
 
0.028111.9%
 
0.037101.8%
 
0.039101.8%
 
0.006101.8%
 
0.024101.8%
 
Other values (56)16529.0%
 
ValueCountFrequency (%) 
0.00210.2%
 
0.00310.2%
 
0.00420.4%
 
0.00571.2%
 
0.006101.8%
 
0.00771.2%
 
0.008152.6%
 
0.009223.9%
 
0.01142.5%
 
0.011244.2%
 
ValueCountFrequency (%) 
0.13510.2%
 
0.10610.2%
 
0.10110.2%
 
0.09810.2%
 
0.09610.2%
 
0.09410.2%
 
0.08810.2%
 
0.08710.2%
 
0.08620.4%
 
0.08320.4%
 

Area3
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count544
Unique (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean880.5831282952548
Minimum185.2
Maximum4254.0
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:24.055511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum185.2
5-th percentile331.06
Q1515.3
median686.5
Q31084
95-th percentile2009.6
Maximum4254
Range4068.8
Interquartile range (IQR)568.7

Descriptive statistics

Standard deviation569.3569927
Coefficient of variation (CV)0.6465681369
Kurtosis4.396394829
Mean880.5831283
Median Absolute Deviation (MAD)215.6
Skewness1.859373272
Sum501051.8
Variance324167.3851
2020-08-25T02:06:24.160986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
733.520.4%
 
808.920.4%
 
126120.4%
 
547.420.4%
 
402.820.4%
 
162320.4%
 
749.920.4%
 
121020.4%
 
45820.4%
 
126920.4%
 
160320.4%
 
698.820.4%
 
439.620.4%
 
830.520.4%
 
284.420.4%
 
70620.4%
 
708.820.4%
 
472.420.4%
 
546.720.4%
 
725.920.4%
 
143720.4%
 
826.420.4%
 
489.520.4%
 
175020.4%
 
624.120.4%
 
Other values (519)51991.2%
 
ValueCountFrequency (%) 
185.210.2%
 
223.610.2%
 
240.110.2%
 
242.210.2%
 
24810.2%
 
249.810.2%
 
259.210.2%
 
268.610.2%
 
27010.2%
 
273.910.2%
 
ValueCountFrequency (%) 
425410.2%
 
343210.2%
 
323410.2%
 
321610.2%
 
314310.2%
 
294410.2%
 
290610.2%
 
278210.2%
 
264210.2%
 
261510.2%
 

Concave_points2
Real number (ℝ≥0)

ZEROS

Distinct count36
Unique (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011790861159929703
Minimum0.0
Maximum0.053
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T02:06:24.277803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.008
median0.011
Q30.015
95-th percentile0.023
Maximum0.053
Range0.053
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.006189796306
Coefficient of variation (CV)0.5249655832
Kurtosis5.084743956
Mean0.01179086116
Median Absolute Deviation (MAD)0.003
Skewness1.431578102
Sum6.709
Variance3.831357831e-05
2020-08-25T02:06:24.383646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.009519.0%
 
0.01437.6%
 
0.011417.2%
 
0.013417.2%
 
0.006396.9%
 
0.012396.9%
 
0.008376.5%
 
0.007376.5%
 
0.014335.8%
 
0.016274.7%
 
0.005254.4%
 
0.015244.2%
 
0.018203.5%
 
0.017183.2%
 
0132.3%
 
0.019111.9%
 
0.004101.8%
 
0.00381.4%
 
0.0271.2%
 
0.02371.2%
 
0.02561.1%
 
0.02161.1%
 
0.02240.7%
 
0.02840.7%
 
0.02640.7%
 
Other values (11)142.5%
 
ValueCountFrequency (%) 
0132.3%
 
0.00230.5%
 
0.00381.4%
 
0.004101.8%
 
0.005254.4%
 
0.006396.9%
 
0.007376.5%
 
0.008376.5%
 
0.009519.0%
 
0.01437.6%
 
ValueCountFrequency (%) 
0.05310.2%
 
0.04110.2%
 
0.03910.2%
 
0.03510.2%
 
0.03410.2%
 
0.03310.2%
 
0.0310.2%
 
0.02920.4%
 
0.02840.7%
 
0.02710.2%
 

Symmetry1
Real number (ℝ≥0)

Distinct count119
Unique (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18118804920913884
Minimum0.106
Maximum0.304
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:24.498735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.106
5-th percentile0.1414
Q10.162
median0.179
Q30.196
95-th percentile0.2306
Maximum0.304
Range0.198
Interquartile range (IQR)0.034

Descriptive statistics

Standard deviation0.02743522713
Coefficient of variation (CV)0.1514185249
Kurtosis1.29581713
Mean0.1811880492
Median Absolute Deviation (MAD)0.017
Skewness0.7295194553
Sum103.096
Variance0.0007526916879
2020-08-25T02:06:24.612878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.172152.6%
 
0.162132.3%
 
0.174122.1%
 
0.181122.1%
 
0.193122.1%
 
0.194111.9%
 
0.178111.9%
 
0.188111.9%
 
0.185101.8%
 
0.167101.8%
 
0.159101.8%
 
0.171101.8%
 
0.1891.6%
 
0.17791.6%
 
0.1791.6%
 
0.16391.6%
 
0.18291.6%
 
0.19791.6%
 
0.19591.6%
 
0.16491.6%
 
0.16581.4%
 
0.1681.4%
 
0.1981.4%
 
0.17981.4%
 
0.15881.4%
 
Other values (94)32056.2%
 
ValueCountFrequency (%) 
0.10610.2%
 
0.11710.2%
 
0.1210.2%
 
0.12220.4%
 
0.12710.2%
 
0.1310.2%
 
0.13110.2%
 
0.13430.5%
 
0.13530.5%
 
0.13630.5%
 
ValueCountFrequency (%) 
0.30410.2%
 
0.29110.2%
 
0.27410.2%
 
0.26810.2%
 
0.26610.2%
 
0.2620.4%
 
0.25710.2%
 
0.25610.2%
 
0.25510.2%
 
0.25420.4%
 

Fractal_dimension1
Real number (ℝ≥0)

Distinct count41
Unique (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06279789103690685
Minimum0.05
Maximum0.09699999999999999
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:24.923589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.054
Q10.058
median0.062
Q30.066
95-th percentile0.076
Maximum0.097
Range0.047
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007076264316
Coefficient of variation (CV)0.1126831522
Kurtosis2.929492153
Mean0.06279789104
Median Absolute Deviation (MAD)0.004
Skewness1.289900655
Sum35.732
Variance5.007351667e-05
2020-08-25T02:06:25.020559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.061488.4%
 
0.059478.3%
 
0.057407.0%
 
0.063396.9%
 
0.062376.5%
 
0.06346.0%
 
0.056315.4%
 
0.066295.1%
 
0.055254.4%
 
0.064234.0%
 
0.065234.0%
 
0.069223.9%
 
0.058203.5%
 
0.067162.8%
 
0.068152.6%
 
0.054142.5%
 
0.053132.3%
 
0.073111.9%
 
0.071101.8%
 
0.074101.8%
 
0.0791.6%
 
0.07271.2%
 
0.07871.2%
 
0.05261.1%
 
0.0540.7%
 
Other values (16)295.1%
 
ValueCountFrequency (%) 
0.0540.7%
 
0.05120.4%
 
0.05261.1%
 
0.053132.3%
 
0.054142.5%
 
0.055254.4%
 
0.056315.4%
 
0.057407.0%
 
0.058203.5%
 
0.059478.3%
 
ValueCountFrequency (%) 
0.09710.2%
 
0.09610.2%
 
0.09510.2%
 
0.09310.2%
 
0.0910.2%
 
0.08710.2%
 
0.08410.2%
 
0.08310.2%
 
0.08210.2%
 
0.08130.5%
 

Symmetry3
Real number (ℝ≥0)

Distinct count208
Unique (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2900826010544815
Minimum0.156
Maximum0.664
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:25.131374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.156
5-th percentile0.2128
Q10.25
median0.282
Q30.318
95-th percentile0.4066
Maximum0.664
Range0.508
Interquartile range (IQR)0.068

Descriptive statistics

Standard deviation0.06187193039
Coefficient of variation (CV)0.2132907323
Kurtosis4.443338164
Mean0.2900826011
Median Absolute Deviation (MAD)0.034
Skewness1.433216611
Sum165.057
Variance0.003828135771
2020-08-25T02:06:25.236238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.306101.8%
 
0.26881.4%
 
0.27481.4%
 
0.26981.4%
 
0.28381.4%
 
0.27871.2%
 
0.31171.2%
 
0.3171.2%
 
0.32271.2%
 
0.24471.2%
 
0.2361.1%
 
0.3261.1%
 
0.28761.1%
 
0.25661.1%
 
0.24661.1%
 
0.28461.1%
 
0.22361.1%
 
0.30261.1%
 
0.28561.1%
 
0.23861.1%
 
0.28161.1%
 
0.28250.9%
 
0.26450.9%
 
0.32750.9%
 
0.29850.9%
 
Other values (183)40671.4%
 
ValueCountFrequency (%) 
0.15610.2%
 
0.15710.2%
 
0.1610.2%
 
0.16520.4%
 
0.17110.2%
 
0.17820.4%
 
0.18110.2%
 
0.18610.2%
 
0.18910.2%
 
0.1920.4%
 
ValueCountFrequency (%) 
0.66410.2%
 
0.57710.2%
 
0.55610.2%
 
0.54410.2%
 
0.51710.2%
 
0.48810.2%
 
0.48610.2%
 
0.48210.2%
 
0.47610.2%
 
0.47510.2%
 

Smoothness3
Real number (ℝ≥0)

Distinct count105
Unique (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1323690685413005
Minimum0.071
Maximum0.223
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:25.346454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.071
5-th percentile0.0954
Q10.117
median0.131
Q30.146
95-th percentile0.1716
Maximum0.223
Range0.152
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.02281942648
Coefficient of variation (CV)0.1723924383
Kurtosis0.5253338881
Mean0.1323690685
Median Absolute Deviation (MAD)0.015
Skewness0.4137593504
Sum75.318
Variance0.0005207262247
2020-08-25T02:06:25.460251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.122183.2%
 
0.128162.8%
 
0.142152.6%
 
0.114142.5%
 
0.143122.1%
 
0.13122.1%
 
0.14122.1%
 
0.126122.1%
 
0.134122.1%
 
0.131122.1%
 
0.129122.1%
 
0.15111.9%
 
0.141111.9%
 
0.138101.8%
 
0.123101.8%
 
0.136101.8%
 
0.135101.8%
 
0.11101.8%
 
0.139101.8%
 
0.12191.6%
 
0.15591.6%
 
0.14691.6%
 
0.15391.6%
 
0.11291.6%
 
0.09481.4%
 
Other values (80)28750.4%
 
ValueCountFrequency (%) 
0.07110.2%
 
0.08110.2%
 
0.08410.2%
 
0.08510.2%
 
0.08610.2%
 
0.08830.5%
 
0.08920.4%
 
0.0920.4%
 
0.09210.2%
 
0.09340.7%
 
ValueCountFrequency (%) 
0.22310.2%
 
0.21810.2%
 
0.2110.2%
 
0.20110.2%
 
0.19110.2%
 
0.1910.2%
 
0.18820.4%
 
0.18710.2%
 
0.18620.4%
 
0.18530.5%
 

Perimeter2
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count533
Unique (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866059753954306
Minimum0.757
Maximum21.98
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:25.581288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.757
5-th percentile1.1328
Q11.606
median2.287
Q33.357
95-th percentile7.0416
Maximum21.98
Range21.223
Interquartile range (IQR)1.751

Descriptive statistics

Standard deviation2.021854174
Coefficient of variation (CV)0.7054473207
Kurtosis21.40191943
Mean2.866059754
Median Absolute Deviation (MAD)0.77
Skewness3.443616713
Sum1630.788
Variance4.087894303
2020-08-25T02:06:25.683771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.77840.7%
 
1.59720.4%
 
1.95520.4%
 
1.56620.4%
 
1.66720.4%
 
1.14320.4%
 
2.40620.4%
 
2.4120.4%
 
1.95920.4%
 
3.76720.4%
 
3.00820.4%
 
1.99420.4%
 
2.74720.4%
 
2.87320.4%
 
1.10120.4%
 
2.18320.4%
 
3.56420.4%
 
2.22520.4%
 
2.36320.4%
 
1.49120.4%
 
1.24320.4%
 
1.42920.4%
 
2.56920.4%
 
2.04120.4%
 
2.09720.4%
 
Other values (508)51790.9%
 
ValueCountFrequency (%) 
0.75710.2%
 
0.77110.2%
 
0.84410.2%
 
0.84810.2%
 
0.87310.2%
 
0.92210.2%
 
0.96810.2%
 
0.98110.2%
 
0.98610.2%
 
0.98910.2%
 
ValueCountFrequency (%) 
21.9810.2%
 
18.6510.2%
 
11.0710.2%
 
10.1210.2%
 
10.0510.2%
 
9.80710.2%
 
9.63510.2%
 
9.42410.2%
 
8.86710.2%
 
8.8310.2%
 

Radius1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count456
Unique (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.127291739894552
Minimum6.981
Maximum28.11
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:25.790228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6.981
5-th percentile9.5292
Q111.7
median13.37
Q315.78
95-th percentile20.576
Maximum28.11
Range21.129
Interquartile range (IQR)4.08

Descriptive statistics

Standard deviation3.524048826
Coefficient of variation (CV)0.2494497099
Kurtosis0.8455216229
Mean14.12729174
Median Absolute Deviation (MAD)1.9
Skewness0.9423795717
Sum8038.429
Variance12.41892013
2020-08-25T02:06:25.884559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.3440.7%
 
12.7730.5%
 
15.4630.5%
 
12.8930.5%
 
13.0530.5%
 
11.7130.5%
 
13.8530.5%
 
11.8930.5%
 
10.2630.5%
 
12.1830.5%
 
11.0630.5%
 
12.4630.5%
 
13.1730.5%
 
1330.5%
 
11.630.5%
 
12.0520.4%
 
19.420.4%
 
14.9520.4%
 
12.3620.4%
 
12.5420.4%
 
13.7720.4%
 
14.8720.4%
 
13.8720.4%
 
13.2820.4%
 
15.7820.4%
 
Other values (431)50388.4%
 
ValueCountFrequency (%) 
6.98110.2%
 
7.69110.2%
 
7.72910.2%
 
7.7610.2%
 
8.19610.2%
 
8.21910.2%
 
8.57110.2%
 
8.59710.2%
 
8.59810.2%
 
8.61810.2%
 
ValueCountFrequency (%) 
28.1110.2%
 
27.4210.2%
 
27.2210.2%
 
25.7310.2%
 
25.2210.2%
 
24.6310.2%
 
24.2510.2%
 
23.5110.2%
 
23.2910.2%
 
23.2710.2%
 

Smoothness1
Real number (ℝ≥0)

Distinct count73
Unique (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0963884007029877
Minimum0.053
Maximum0.163
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:25.990501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.053
5-th percentile0.075
Q10.086
median0.096
Q30.105
95-th percentile0.119
Maximum0.163
Range0.11
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01406218355
Coefficient of variation (CV)0.1458908276
Kurtosis0.8398816649
Mean0.0963884007
Median Absolute Deviation (MAD)0.009
Skewness0.4554334288
Sum54.845
Variance0.0001977450061
2020-08-25T02:06:26.097586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.098203.5%
 
0.094203.5%
 
0.1183.2%
 
0.085183.2%
 
0.104173.0%
 
0.088173.0%
 
0.084173.0%
 
0.089162.8%
 
0.097162.8%
 
0.087162.8%
 
0.091162.8%
 
0.099162.8%
 
0.105142.5%
 
0.092142.5%
 
0.101142.5%
 
0.095142.5%
 
0.081132.3%
 
0.09132.3%
 
0.107132.3%
 
0.08132.3%
 
0.108132.3%
 
0.103132.3%
 
0.102122.1%
 
0.083122.1%
 
0.096111.9%
 
Other values (48)19333.9%
 
ValueCountFrequency (%) 
0.05310.2%
 
0.06310.2%
 
0.06410.2%
 
0.06620.4%
 
0.06810.2%
 
0.06920.4%
 
0.0750.9%
 
0.07110.2%
 
0.07210.2%
 
0.07320.4%
 
ValueCountFrequency (%) 
0.16310.2%
 
0.14510.2%
 
0.14210.2%
 
0.1410.2%
 
0.13710.2%
 
0.13410.2%
 
0.13310.2%
 
0.13210.2%
 
0.12920.4%
 
0.12810.2%
 

Concavity2
Real number (ℝ≥0)

ZEROS

Distinct count96
Unique (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03190861159929702
Minimum0.0
Maximum0.396
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T02:06:26.213819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.015
median0.026
Q30.042
95-th percentile0.0786
Maximum0.396
Range0.396
Interquartile range (IQR)0.027

Descriptive statistics

Standard deviation0.03021062353
Coefficient of variation (CV)0.9467858995
Kurtosis48.7423523
Mean0.0319086116
Median Absolute Deviation (MAD)0.013
Skewness5.105715815
Sum18.156
Variance0.0009126817743
2020-08-25T02:06:26.327927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.02213.7%
 
0.018203.5%
 
0.015162.8%
 
0.021162.8%
 
0.011152.6%
 
0.026152.6%
 
0.013152.6%
 
0.031142.5%
 
0.027142.5%
 
0.023142.5%
 
0132.3%
 
0.017132.3%
 
0.016132.3%
 
0.014132.3%
 
0.019122.1%
 
0.043111.9%
 
0.03111.9%
 
0.04111.9%
 
0.012111.9%
 
0.028101.8%
 
0.037101.8%
 
0.008101.8%
 
0.02991.6%
 
0.03491.6%
 
0.02291.6%
 
Other values (71)24442.9%
 
ValueCountFrequency (%) 
0132.3%
 
0.00161.1%
 
0.00261.1%
 
0.00350.9%
 
0.00440.7%
 
0.00550.9%
 
0.00691.6%
 
0.00771.2%
 
0.008101.8%
 
0.00981.4%
 
ValueCountFrequency (%) 
0.39610.2%
 
0.30410.2%
 
0.15410.2%
 
0.14420.4%
 
0.12810.2%
 
0.1210.2%
 
0.11710.2%
 
0.11110.2%
 
0.10910.2%
 
0.10410.2%
 

Compactness1
Real number (ℝ≥0)

Distinct count188
Unique (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10434446397188049
Minimum0.019
Maximum0.345
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:26.457391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.019
5-th percentile0.041
Q10.065
median0.093
Q30.13
95-th percentile0.209
Maximum0.345
Range0.326
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.05281649212
Coefficient of variation (CV)0.5061743586
Kurtosis1.642939205
Mean0.104344464
Median Absolute Deviation (MAD)0.033
Skewness1.188276714
Sum59.372
Variance0.00278958184
2020-08-25T02:06:26.566366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.1391.6%
 
0.05391.6%
 
0.06791.6%
 
0.11481.4%
 
0.08681.4%
 
0.07781.4%
 
0.0681.4%
 
0.08581.4%
 
0.10281.4%
 
0.07881.4%
 
0.07281.4%
 
0.11571.2%
 
0.07971.2%
 
0.0571.2%
 
0.05271.2%
 
0.11171.2%
 
0.05971.2%
 
0.07361.1%
 
0.03861.1%
 
0.13161.1%
 
0.06261.1%
 
0.09561.1%
 
0.07661.1%
 
0.08361.1%
 
0.12861.1%
 
Other values (163)38868.2%
 
ValueCountFrequency (%) 
0.01910.2%
 
0.02310.2%
 
0.02610.2%
 
0.02710.2%
 
0.03110.2%
 
0.03210.2%
 
0.03420.4%
 
0.03520.4%
 
0.03640.7%
 
0.03730.5%
 
ValueCountFrequency (%) 
0.34510.2%
 
0.31110.2%
 
0.28710.2%
 
0.28410.2%
 
0.28310.2%
 
0.27810.2%
 
0.27720.4%
 
0.26610.2%
 
0.25810.2%
 
0.24610.2%
 

Area2
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count528
Unique (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.337079086116
Minimum6.8020000000000005
Maximum542.2
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:26.689742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6.802
5-th percentile11.36
Q117.85
median24.53
Q345.19
95-th percentile115.8
Maximum542.2
Range535.398
Interquartile range (IQR)27.34

Descriptive statistics

Standard deviation45.49100552
Coefficient of variation (CV)1.127771434
Kurtosis49.20907651
Mean40.33707909
Median Absolute Deviation (MAD)9.19
Skewness5.447186285
Sum22951.798
Variance2069.431583
2020-08-25T02:06:26.787937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16.9730.5%
 
16.6430.5%
 
18.5430.5%
 
17.6730.5%
 
18.2420.4%
 
22.2220.4%
 
20.220.4%
 
24.1920.4%
 
23.9220.4%
 
20.9520.4%
 
14.3420.4%
 
19.8720.4%
 
20.7420.4%
 
34.3720.4%
 
11.2820.4%
 
17.7420.4%
 
14.9120.4%
 
18.1520.4%
 
17.8520.4%
 
27.1920.4%
 
20.9820.4%
 
20.6720.4%
 
33.0120.4%
 
12.6720.4%
 
23.1220.4%
 
Other values (503)51590.5%
 
ValueCountFrequency (%) 
6.80210.2%
 
7.22810.2%
 
7.25410.2%
 
7.32610.2%
 
8.20510.2%
 
8.32210.2%
 
8.60510.2%
 
8.95510.2%
 
8.96610.2%
 
9.00610.2%
 
ValueCountFrequency (%) 
542.210.2%
 
525.610.2%
 
23310.2%
 
224.110.2%
 
199.710.2%
 
180.210.2%
 
176.510.2%
 
17010.2%
 
164.110.2%
 
158.710.2%
 

Texture2
Real number (ℝ≥0)

Distinct count482
Unique (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2168523725834797
Minimum0.36
Maximum4.885
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:26.892074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.36
5-th percentile0.5402
Q10.834
median1.108
Q31.474
95-th percentile2.212
Maximum4.885
Range4.525
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.5516498679
Coefficient of variation (CV)0.4533416545
Kurtosis5.349108877
Mean1.216852373
Median Absolute Deviation (MAD)0.315
Skewness1.646426446
Sum692.389
Variance0.3043175768
2020-08-25T02:06:26.982060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1530.5%
 
0.49630.5%
 
1.26830.5%
 
0.82830.5%
 
0.87330.5%
 
0.98630.5%
 
0.68630.5%
 
1.3530.5%
 
0.85630.5%
 
1.02320.4%
 
1.04620.4%
 
0.92220.4%
 
1.05920.4%
 
1.21420.4%
 
0.62220.4%
 
0.78120.4%
 
0.9920.4%
 
1.74320.4%
 
1.56320.4%
 
1.33620.4%
 
1.1420.4%
 
0.96420.4%
 
1.03320.4%
 
1.34220.4%
 
1.51120.4%
 
Other values (457)51089.6%
 
ValueCountFrequency (%) 
0.3610.2%
 
0.36210.2%
 
0.36310.2%
 
0.38710.2%
 
0.39810.2%
 
0.40610.2%
 
0.41210.2%
 
0.43310.2%
 
0.43410.2%
 
0.4410.2%
 
ValueCountFrequency (%) 
4.88510.2%
 
3.89610.2%
 
3.64710.2%
 
3.56810.2%
 
3.1210.2%
 
2.92710.2%
 
2.9110.2%
 
2.90410.2%
 
2.87810.2%
 
2.83610.2%
 

Perimeter3
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count514
Unique (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.26121265377857
Minimum50.41
Maximum251.2
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:27.086956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum50.41
5-th percentile67.856
Q184.11
median97.66
Q3125.4
95-th percentile171.64
Maximum251.2
Range200.79
Interquartile range (IQR)41.29

Descriptive statistics

Standard deviation33.60254227
Coefficient of variation (CV)0.3132776652
Kurtosis1.070149667
Mean107.2612127
Median Absolute Deviation (MAD)16.87
Skewness1.128163871
Sum61031.63
Variance1129.130847
2020-08-25T02:06:27.197179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
101.730.5%
 
105.930.5%
 
117.730.5%
 
104.520.4%
 
152.420.4%
 
79.9320.4%
 
79.7320.4%
 
184.620.4%
 
85.0720.4%
 
113.720.4%
 
76.5120.4%
 
127.120.4%
 
85.5620.4%
 
100.920.4%
 
171.120.4%
 
84.4820.4%
 
170.320.4%
 
87.3620.4%
 
152.220.4%
 
92.0420.4%
 
158.820.4%
 
108.120.4%
 
95.2920.4%
 
159.820.4%
 
135.120.4%
 
Other values (489)51690.7%
 
ValueCountFrequency (%) 
50.4110.2%
 
54.4910.2%
 
56.6510.2%
 
57.1710.2%
 
57.2610.2%
 
58.0810.2%
 
58.3610.2%
 
59.1610.2%
 
59.910.2%
 
60.910.2%
 
ValueCountFrequency (%) 
251.210.2%
 
229.310.2%
 
220.810.2%
 
21410.2%
 
211.710.2%
 
211.510.2%
 
206.810.2%
 
20610.2%
 
205.710.2%
 
202.410.2%
 

Texture1
Real number (ℝ≥0)

Distinct count479
Unique (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.289648506151142
Minimum9.71
Maximum39.28
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:27.319589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum9.71
5-th percentile13.088
Q116.17
median18.84
Q321.8
95-th percentile27.15
Maximum39.28
Range29.57
Interquartile range (IQR)5.63

Descriptive statistics

Standard deviation4.301035768
Coefficient of variation (CV)0.2229711841
Kurtosis0.7583189724
Mean19.28964851
Median Absolute Deviation (MAD)2.81
Skewness0.6504495421
Sum10975.81
Variance18.49890868
2020-08-25T02:06:27.423695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14.9330.5%
 
15.730.5%
 
18.930.5%
 
16.8430.5%
 
17.4630.5%
 
18.2230.5%
 
20.5230.5%
 
16.8530.5%
 
19.8330.5%
 
18.8920.4%
 
13.9820.4%
 
20.2220.4%
 
18.1820.4%
 
18.6120.4%
 
21.2520.4%
 
27.1520.4%
 
21.8420.4%
 
14.9620.4%
 
16.5820.4%
 
20.7620.4%
 
21.5320.4%
 
15.5120.4%
 
21.4620.4%
 
21.5920.4%
 
13.920.4%
 
Other values (454)51089.6%
 
ValueCountFrequency (%) 
9.7110.2%
 
10.3810.2%
 
10.7210.2%
 
10.8210.2%
 
10.8910.2%
 
10.9110.2%
 
10.9410.2%
 
11.2810.2%
 
11.7910.2%
 
11.8910.2%
 
ValueCountFrequency (%) 
39.2810.2%
 
33.8110.2%
 
33.5610.2%
 
32.4710.2%
 
31.1210.2%
 
30.7210.2%
 
30.6210.2%
 
29.9710.2%
 
29.8110.2%
 
29.4310.2%
 

Perimeter1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count522
Unique (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.96903339191564
Minimum43.79
Maximum188.5
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:27.541774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum43.79
5-th percentile60.496
Q175.17
median86.24
Q3104.1
95-th percentile135.82
Maximum188.5
Range144.71
Interquartile range (IQR)28.93

Descriptive statistics

Standard deviation24.29898104
Coefficient of variation (CV)0.2642082899
Kurtosis0.9722135477
Mean91.96903339
Median Absolute Deviation (MAD)12.71
Skewness0.9906504254
Sum52330.38
Variance590.4404795
2020-08-25T02:06:27.649542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
82.6130.5%
 
134.730.5%
 
87.7630.5%
 
13020.4%
 
58.7920.4%
 
133.820.4%
 
85.9820.4%
 
113.420.4%
 
81.3520.4%
 
84.0820.4%
 
73.3420.4%
 
107.120.4%
 
130.720.4%
 
88.3720.4%
 
117.420.4%
 
88.7320.4%
 
78.8320.4%
 
78.2920.4%
 
79.1920.4%
 
102.420.4%
 
132.420.4%
 
71.4920.4%
 
82.6920.4%
 
132.920.4%
 
87.2120.4%
 
Other values (497)51690.7%
 
ValueCountFrequency (%) 
43.7910.2%
 
47.9210.2%
 
47.9810.2%
 
48.3410.2%
 
51.7110.2%
 
53.2710.2%
 
54.0910.2%
 
54.3410.2%
 
54.4210.2%
 
54.5310.2%
 
ValueCountFrequency (%) 
188.510.2%
 
186.910.2%
 
182.110.2%
 
174.210.2%
 
171.510.2%
 
166.210.2%
 
165.510.2%
 
158.910.2%
 
155.110.2%
 
153.510.2%
 

Compactness3
Real number (ℝ≥0)

Distinct count326
Unique (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25427943760984184
Minimum0.027000000000000003
Maximum1.058
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T02:06:27.769028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.027
5-th percentile0.0714
Q10.147
median0.212
Q30.339
95-th percentile0.5642
Maximum1.058
Range1.031
Interquartile range (IQR)0.192

Descriptive statistics

Standard deviation0.1573333378
Coefficient of variation (CV)0.6187418819
Kurtosis3.03899709
Mean0.2542794376
Median Absolute Deviation (MAD)0.087
Skewness1.473160171
Sum144.685
Variance0.02475377917
2020-08-25T02:06:27.872829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.18150.9%
 
0.16550.9%
 
0.17950.9%
 
0.13550.9%
 
0.18850.9%
 
0.15250.9%
 
0.21240.7%
 
0.15840.7%
 
0.19640.7%
 
0.25240.7%
 
0.34240.7%
 
0.13640.7%
 
0.16840.7%
 
0.15140.7%
 
0.16340.7%
 
0.20440.7%
 
0.19840.7%
 
0.40640.7%
 
0.07140.7%
 
0.18440.7%
 
0.09730.5%
 
0.15530.5%
 
0.25530.5%
 
0.06530.5%
 
0.21730.5%
 
Other values (301)46882.2%
 
ValueCountFrequency (%) 
0.02710.2%
 
0.03410.2%
 
0.04310.2%
 
0.04610.2%
 
0.04710.2%
 
0.0520.4%
 
0.05110.2%
 
0.05220.4%
 
0.05310.2%
 
0.05410.2%
 
ValueCountFrequency (%) 
1.05810.2%
 
0.93810.2%
 
0.93310.2%
 
0.86810.2%
 
0.86610.2%
 
0.79210.2%
 
0.77210.2%
 
0.75810.2%
 
0.74410.2%
 
0.73910.2%
 

target
Boolean

Distinct count2
Unique (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
0
357
1
212
ValueCountFrequency (%) 
035762.7%
 
121237.3%
 

Interactions

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2020-08-25T02:06:15.521089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:06:15.837695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:06:15.987249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:06:19.904459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:06:20.040674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:06:22.024988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:06:22.437443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:06:22.575531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T02:06:28.204552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T02:06:28.544108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T02:06:28.877383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T02:06:29.234952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T02:06:22.855287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:06:23.345193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

Concave_points3Compactness2Area3Concave_points2Symmetry1Fractal_dimension1Symmetry3Smoothness3Perimeter2Radius1Smoothness1Concavity2Compactness1Area2Texture2Perimeter3Texture1Perimeter1Compactness3target
00.2650.0492019.00.0160.2420.0790.4600.1628.58917.990.1180.0540.278153.400.905184.6010.38122.800.6661
10.1860.0131956.00.0130.1810.0570.2750.1243.39820.570.0850.0190.07974.080.734158.8017.77132.900.1871
20.2430.0401709.00.0210.2070.0600.3610.1444.58519.690.1100.0380.16094.030.787152.5021.25130.000.4241
30.2580.075567.70.0190.2600.0970.6640.2103.44511.420.1420.0570.28427.231.15698.8720.3877.580.8661
40.1620.0251575.00.0190.1810.0590.2360.1375.43820.290.1000.0570.13394.440.781152.2014.34135.100.2051
50.1740.033741.60.0110.2090.0760.3980.1792.21712.450.1280.0370.17027.190.890103.4015.7082.570.5251
60.1930.0141606.00.0100.1790.0570.3060.1443.18018.250.0950.0230.10953.910.773153.2019.98119.600.2581
70.1560.030897.00.0140.2200.0750.3200.1653.85613.710.1190.0250.16450.961.377110.6020.8390.200.3681
80.2060.035739.30.0120.2350.0740.4380.1702.40613.000.1270.0360.19324.321.002106.2021.8287.500.5401
90.2210.072711.40.0140.2030.0820.4370.1852.03912.460.1190.0770.24023.941.59997.6524.0483.971.0581

Last rows

Concave_points3Compactness2Area3Concave_points2Symmetry1Fractal_dimension1Symmetry3Smoothness3Perimeter2Radius1Smoothness1Concavity2Compactness1Area2Texture2Perimeter3Texture1Perimeter1Compactness3target
5590.0970.030474.20.0130.1390.0660.2110.1301.93611.510.0930.0570.10216.972.90482.2823.9374.520.2520
5600.1050.027706.70.0160.1540.0620.2250.1242.88814.050.0990.0210.11329.841.492100.2027.1591.380.2260
5610.0000.009439.60.0000.1060.0550.1570.0932.04111.200.0740.0000.03622.813.89675.1929.3770.670.0550
5620.2360.048915.00.0160.2130.0720.4090.1422.36215.220.1050.0740.20922.651.205128.7030.62103.400.7921
5630.2540.0431819.00.0260.2150.0690.2930.1418.75820.920.1100.0780.224118.801.026179.1025.09143.000.4191
5640.2220.0292027.00.0250.1730.0560.2060.1417.67321.560.1110.0520.116158.701.256166.1022.39142.000.2111
5650.1630.0241731.00.0170.1750.0550.2570.1175.20320.130.0980.0400.10399.042.463155.0028.25131.200.1921
5660.1420.0371124.00.0160.1590.0560.2220.1143.42516.600.0850.0470.10248.551.075126.7028.08108.300.3091
5670.2650.0621821.00.0170.2400.0700.4090.1655.77220.600.1180.0710.27786.221.595184.6029.33140.100.8681
5680.0000.005268.60.0000.1590.0590.2870.0902.5487.760.0530.0000.04419.151.42859.1624.5447.920.0640