Overview

Dataset statistics

Number of variables20
Number of observations8192
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory160.0 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:06:07.124012
Analysis finished2020-08-25 00:07:09.975103
Duration1 minute and 2.85 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

fork is highly correlated with vflt and 1 other fieldsHigh correlation
vflt is highly correlated with fork and 1 other fieldsHigh correlation
pflt is highly correlated with vflt and 1 other fieldsHigh correlation
pgscan is highly correlated with pgfreeHigh correlation
pgfree is highly correlated with pgscan and 1 other fieldsHigh correlation
ppgout is highly correlated with pgfreeHigh correlation
pgin is highly correlated with ppginHigh correlation
ppgin is highly correlated with pginHigh correlation
atch is highly skewed (γ1 = 21.54201966) Skewed
lread has 675 (8.2%) zeros Zeros
ppgin has 1220 (14.9%) zeros Zeros
lwrite has 2684 (32.8%) zeros Zeros
pgfree has 4869 (59.4%) zeros Zeros
atch has 4575 (55.8%) zeros Zeros
pgout has 4878 (59.5%) zeros Zeros
pgscan has 6448 (78.7%) zeros Zeros
ppgout has 4878 (59.5%) zeros Zeros
pgin has 1220 (14.9%) zeros Zeros
target has 283 (3.5%) zeros Zeros

Variables

lread
Real number (ℝ≥0)

ZEROS

Distinct count235
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5596923828125
Minimum0.0
Maximum1845.0
Zeros675
Zeros (%)8.2%
Memory size64.1 KiB
2020-08-25T00:07:10.021708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q320
95-th percentile68
Maximum1845
Range1845
Interquartile range (IQR)18

Descriptive statistics

Standard deviation53.35379894
Coefficient of variation (CV)2.727742231
Kurtosis313.7492589
Mean19.55969238
Median Absolute Deviation (MAD)6
Skewness13.89785224
Sum160233
Variance2846.627861
2020-08-25T00:07:10.133867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1105012.8%
 
27328.9%
 
06758.2%
 
35396.6%
 
44085.0%
 
53644.4%
 
62873.5%
 
72733.3%
 
82142.6%
 
91952.4%
 
101922.3%
 
111672.0%
 
121591.9%
 
141571.9%
 
131551.9%
 
151251.5%
 
161131.4%
 
181121.4%
 
171061.3%
 
191031.3%
 
20991.2%
 
23760.9%
 
21750.9%
 
22700.9%
 
28610.7%
 
Other values (210)168520.6%
 
ValueCountFrequency (%) 
06758.2%
 
1105012.8%
 
27328.9%
 
35396.6%
 
44085.0%
 
53644.4%
 
62873.5%
 
72733.3%
 
82142.6%
 
91952.4%
 
ValueCountFrequency (%) 
18451< 0.1%
 
14861< 0.1%
 
9121< 0.1%
 
8691< 0.1%
 
8561< 0.1%
 
8251< 0.1%
 
8171< 0.1%
 
7961< 0.1%
 
7551< 0.1%
 
7531< 0.1%
 

vflt
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count3799
Unique (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.3157957862186
Minimum0.20000000298023224
Maximum1365.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:10.258279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.200000003
5-th percentile16.79999924
Q145.40000153
median120.4000015
Q3251.8000031
95-th percentile594.4844971
Maximum1365
Range1364.8
Interquartile range (IQR)206.4000015

Descriptive statistics

Standard deviation191.0006031
Coefficient of variation (CV)1.030676324
Kurtosis3.261354308
Mean185.3157958
Median Absolute Deviation (MAD)87.8350029
Skewness1.737326591
Sum1518106.999
Variance36481.2304
2020-08-25T00:07:10.363378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16.799999244125.0%
 
17951.2%
 
16.82999992670.8%
 
16.77000046530.6%
 
17.20000076500.6%
 
17.39999962440.5%
 
17.60000038300.4%
 
18290.4%
 
17.79999924240.3%
 
18.20000076210.3%
 
19.20000076200.2%
 
18.79999924180.2%
 
18.39999962180.2%
 
18.60000038170.2%
 
19.39999962170.2%
 
16.96999931150.2%
 
19140.2%
 
17.17000008130.2%
 
75.40000153130.2%
 
101.8000031120.1%
 
45.40000153120.1%
 
66.59999847120.1%
 
19.60000038120.1%
 
98.19999695120.1%
 
47.79999924110.1%
 
Other values (3774)715187.3%
 
ValueCountFrequency (%) 
0.2000000031< 0.1%
 
0.4000000061< 0.1%
 
0.60000002381< 0.1%
 
0.80000001191< 0.1%
 
3.5999999053< 0.1%
 
3.6099998951< 0.1%
 
3.7899999621< 0.1%
 
3.7999999521< 0.1%
 
41< 0.1%
 
6.9899997711< 0.1%
 
ValueCountFrequency (%) 
13651< 0.1%
 
1324.6500241< 0.1%
 
1278.8800051< 0.1%
 
1260.4000241< 0.1%
 
1138.7199711< 0.1%
 
1134.5300291< 0.1%
 
1133.5999761< 0.1%
 
1120.9599611< 0.1%
 
1114.8000491< 0.1%
 
1112.5999761< 0.1%
 

ppgin
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count1072
Unique (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.38858642914056
Minimum0.0
Maximum292.6099853515625
Zeros1220
Zeros (%)14.9%
Memory size64.1 KiB
2020-08-25T00:07:10.476601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6000000238
median3.799999952
Q313.80000019
95-th percentile53.77999897
Maximum292.6099854
Range292.6099854
Interquartile range (IQR)13.20000017

Descriptive statistics

Standard deviation22.28131806
Coefficient of variation (CV)1.79853595
Kurtosis22.82180602
Mean12.38858643
Median Absolute Deviation (MAD)3.799999952
Skewness3.902764892
Sum101487.3
Variance496.4571344
2020-08-25T00:07:10.592018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0122014.9%
 
0.2000000033504.3%
 
0.4000000063324.1%
 
0.80000001192212.7%
 
0.60000002382152.6%
 
12082.5%
 
1.2000000481852.3%
 
1.6000000241521.9%
 
1.3999999761371.7%
 
1.7999999521241.5%
 
2.2000000481211.5%
 
2.4000000951191.5%
 
21141.4%
 
2.599999905720.9%
 
3680.8%
 
3.200000048660.8%
 
2.799999952630.8%
 
4.800000191630.8%
 
4.199999809580.7%
 
4.400000095540.7%
 
3.799999952520.6%
 
3.400000095520.6%
 
5.800000191460.6%
 
3.599999905460.6%
 
5450.5%
 
Other values (1047)400948.9%
 
ValueCountFrequency (%) 
0122014.9%
 
0.2000000033504.3%
 
0.38999998572< 0.1%
 
0.4000000063324.1%
 
0.60000002382152.6%
 
0.80000001192212.7%
 
0.99000000952< 0.1%
 
12082.5%
 
1.1900000572< 0.1%
 
1.2000000481852.3%
 
ValueCountFrequency (%) 
292.60998541< 0.1%
 
291.61999511< 0.1%
 
244.60000611< 0.1%
 
243.11000061< 0.1%
 
226.80000311< 0.1%
 
224.35000611< 0.1%
 
218.19999691< 0.1%
 
214.36999511< 0.1%
 
2011< 0.1%
 
187.61999511< 0.1%
 

lwrite
Real number (ℝ≥0)

ZEROS

Distinct count189
Unique (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.106201171875
Minimum0.0
Maximum575.0
Zeros2684
Zeros (%)32.8%
Memory size64.1 KiB
2020-08-25T00:07:10.714669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile66
Maximum575
Range575
Interquartile range (IQR)10

Descriptive statistics

Standard deviation29.89172584
Coefficient of variation (CV)2.280731498
Kurtosis50.11442202
Mean13.10620117
Median Absolute Deviation (MAD)1
Skewness5.277644526
Sum107366
Variance893.5152735
2020-08-25T00:07:10.828219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0268432.8%
 
1152918.7%
 
26157.5%
 
32843.5%
 
42533.1%
 
52212.7%
 
61511.8%
 
71261.5%
 
81131.4%
 
111051.3%
 
131001.2%
 
91001.2%
 
10770.9%
 
12750.9%
 
14620.8%
 
15530.6%
 
17430.5%
 
18430.5%
 
16410.5%
 
47380.5%
 
59350.4%
 
27340.4%
 
24330.4%
 
19330.4%
 
21320.4%
 
Other values (164)131216.0%
 
ValueCountFrequency (%) 
0268432.8%
 
1152918.7%
 
26157.5%
 
32843.5%
 
42533.1%
 
52212.7%
 
61511.8%
 
71261.5%
 
81131.4%
 
91001.2%
 
ValueCountFrequency (%) 
5751< 0.1%
 
5431< 0.1%
 
4041< 0.1%
 
3931< 0.1%
 
2981< 0.1%
 
2961< 0.1%
 
2851< 0.1%
 
2751< 0.1%
 
2701< 0.1%
 
2671< 0.1%
 

wchar
Real number (ℝ≥0)

Distinct count7939
Unique (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95898.29064941406
Minimum1498.0
Maximum1801623.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:10.947975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1498
5-th percentile7815.85
Q122935.5
median46620
Q3106148
95-th percentile361894.6
Maximum1801623
Range1800125
Interquartile range (IQR)83212.5

Descriptive statistics

Standard deviation140756.8623
Coefficient of variation (CV)1.46777238
Kurtosis21.57375872
Mean95898.29065
Median Absolute Deviation (MAD)29512
Skewness3.848024602
Sum785598797
Variance1.981249428e+10
2020-08-25T00:07:11.075008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
187094< 0.1%
 
84823< 0.1%
 
219623< 0.1%
 
254733< 0.1%
 
263773< 0.1%
 
135543< 0.1%
 
267763< 0.1%
 
157492< 0.1%
 
223902< 0.1%
 
135532< 0.1%
 
60982< 0.1%
 
178442< 0.1%
 
120802< 0.1%
 
247022< 0.1%
 
291482< 0.1%
 
135362< 0.1%
 
69832< 0.1%
 
396152< 0.1%
 
183792< 0.1%
 
341772< 0.1%
 
357782< 0.1%
 
400222< 0.1%
 
135282< 0.1%
 
215632< 0.1%
 
260992< 0.1%
 
Other values (7914)813499.3%
 
ValueCountFrequency (%) 
14981< 0.1%
 
15221< 0.1%
 
16121< 0.1%
 
16681< 0.1%
 
19411< 0.1%
 
19721< 0.1%
 
19851< 0.1%
 
22201< 0.1%
 
22311< 0.1%
 
22331< 0.1%
 
ValueCountFrequency (%) 
18016231< 0.1%
 
15264101< 0.1%
 
15234131< 0.1%
 
15207691< 0.1%
 
14692731< 0.1%
 
14564411< 0.1%
 
13126951< 0.1%
 
12927981< 0.1%
 
12807881< 0.1%
 
12608051< 0.1%
 

fork
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count228
Unique (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8845544471751055
Minimum0.0
Maximum20.1200008392334
Zeros21
Zeros (%)0.3%
Memory size64.1 KiB
2020-08-25T00:07:11.200805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.200000003
Q10.400000006
median0.8000000119
Q32.200000048
95-th percentile7.400000095
Maximum20.12000084
Range20.12000084
Interquartile range (IQR)1.800000042

Descriptive statistics

Standard deviation2.479493423
Coefficient of variation (CV)1.315692113
Kurtosis5.434380895
Mean1.884554447
Median Absolute Deviation (MAD)0.6000000089
Skewness2.249689151
Sum15438.27003
Variance6.147887633
2020-08-25T00:07:11.310420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.200000003199924.4%
 
0.40000000696611.8%
 
0.60000002387168.7%
 
0.80000001195636.9%
 
13984.9%
 
1.2000000483053.7%
 
1.3999999762613.2%
 
1.7999999522513.1%
 
22292.8%
 
1.6000000242162.6%
 
2.2000000481762.1%
 
2.4000000951351.6%
 
2.5999999051131.4%
 
2.799999952851.0%
 
3750.9%
 
3.200000048680.8%
 
3.400000095620.8%
 
3.599999905490.6%
 
4.199999809460.6%
 
3.799999952450.5%
 
4450.5%
 
4.599999905380.5%
 
5340.4%
 
7.199999809340.4%
 
6.400000095310.4%
 
Other values (203)125215.3%
 
ValueCountFrequency (%) 
0210.3%
 
0.18999999761< 0.1%
 
0.200000003199924.4%
 
0.38999998571< 0.1%
 
0.40000000696611.8%
 
0.58999997381< 0.1%
 
0.60000002387168.7%
 
0.80000001195636.9%
 
0.97000002861< 0.1%
 
0.990000009560.1%
 
ValueCountFrequency (%) 
20.120000841< 0.1%
 
17.030000691< 0.1%
 
16.170000081< 0.1%
 
15.800000191< 0.1%
 
15.399999621< 0.1%
 
15.199999811< 0.1%
 
15.170000081< 0.1%
 
152< 0.1%
 
14.399999622< 0.1%
 
14.199999811< 0.1%
 

pgfree
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count1070
Unique (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.919711904978612
Minimum0.0
Maximum523.0
Zeros4869
Zeros (%)59.4%
Memory size64.1 KiB
2020-08-25T00:07:11.434075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile70.28999901
Maximum523
Range523
Interquartile range (IQR)5

Descriptive statistics

Standard deviation32.36351975
Coefficient of variation (CV)2.715126004
Kurtosis32.02628809
Mean11.9197119
Median Absolute Deviation (MAD)0
Skewness4.76819126
Sum97646.27993
Variance1047.39741
2020-08-25T00:07:11.723756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0486959.4%
 
0.4000000061151.4%
 
0.6000000238981.2%
 
0.200000003981.2%
 
0.8000000119871.1%
 
1.200000048821.0%
 
1.600000024760.9%
 
1670.8%
 
1.399999976560.7%
 
1.799999952550.7%
 
2.400000095450.5%
 
2.200000048430.5%
 
2390.5%
 
4.199999809340.4%
 
3.400000095290.4%
 
2.599999905280.3%
 
2.799999952270.3%
 
3260.3%
 
3.799999952250.3%
 
4.599999905220.3%
 
3.599999905210.3%
 
4210.3%
 
3.200000048200.2%
 
4.800000191200.2%
 
6.800000191180.2%
 
Other values (1045)217126.5%
 
ValueCountFrequency (%) 
0486959.4%
 
0.200000003981.2%
 
0.4000000061151.4%
 
0.58999997381< 0.1%
 
0.6000000238981.2%
 
0.8000000119871.1%
 
1670.8%
 
1.1900000571< 0.1%
 
1.200000048821.0%
 
1.3899999861< 0.1%
 
ValueCountFrequency (%) 
5231< 0.1%
 
364.79998781< 0.1%
 
348.20001221< 0.1%
 
342.20001221< 0.1%
 
329.20001221< 0.1%
 
307.66000371< 0.1%
 
302.60000611< 0.1%
 
293.60000611< 0.1%
 
292.60998541< 0.1%
 
290.9800111< 0.1%
 

sread
Real number (ℝ≥0)

Distinct count794
Unique (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.47998046875
Minimum6.0
Maximum5318.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:11.844528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile21
Q186
median166
Q3279
95-th percentile533
Maximum5318
Range5312
Interquartile range (IQR)193

Descriptive statistics

Standard deviation198.9801463
Coefficient of variation (CV)0.9453637625
Kurtosis89.10903826
Mean210.4799805
Median Absolute Deviation (MAD)91
Skewness5.459465962
Sum1724252
Variance39593.09861
2020-08-25T00:07:11.951577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16430.5%
 
10410.5%
 
43400.5%
 
12380.5%
 
95370.5%
 
146370.5%
 
109360.4%
 
13360.4%
 
176360.4%
 
148350.4%
 
15350.4%
 
93350.4%
 
57340.4%
 
154340.4%
 
11340.4%
 
104340.4%
 
94340.4%
 
44330.4%
 
76330.4%
 
73320.4%
 
81320.4%
 
153320.4%
 
35320.4%
 
172320.4%
 
77310.4%
 
Other values (769)731689.3%
 
ValueCountFrequency (%) 
64< 0.1%
 
74< 0.1%
 
8260.3%
 
9260.3%
 
10410.5%
 
11340.4%
 
12380.5%
 
13360.4%
 
14300.4%
 
15350.4%
 
ValueCountFrequency (%) 
53181< 0.1%
 
44491< 0.1%
 
25031< 0.1%
 
23961< 0.1%
 
19841< 0.1%
 
19491< 0.1%
 
17001< 0.1%
 
16971< 0.1%
 
16941< 0.1%
 
16841< 0.1%
 

runqsz
Real number (ℝ≥0)

Distinct count302
Unique (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.630676271015545
Minimum1.0
Maximum2823.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:12.064900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.200000048
median2
Q33
95-th percentile6.400000095
Maximum2823
Range2822
Interquartile range (IQR)1.799999952

Descriptive statistics

Standard deviation125.7420851
Coefficient of variation (CV)6.40538733
Kurtosis173.9568321
Mean19.63067627
Median Absolute Deviation (MAD)0.7999999523
Skewness11.71721895
Sum160814.5
Variance15811.07196
2020-08-25T00:07:12.172564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1161819.8%
 
28009.8%
 
2.2000000484695.7%
 
1.2000000484545.5%
 
33324.1%
 
2.4000000953304.0%
 
1.3999999762993.6%
 
1.52933.6%
 
1.6000000242873.5%
 
1.7999999522863.5%
 
2.5999999052853.5%
 
3.2000000482713.3%
 
2.7999999522603.2%
 
3.4000000951692.1%
 
1.2999999521652.0%
 
3.5999999051602.0%
 
3.7999999521461.8%
 
1.7000000481291.6%
 
41281.6%
 
4.1999998091071.3%
 
2.51051.3%
 
4.4000000951011.2%
 
4.599999905770.9%
 
4.800000191690.8%
 
5660.8%
 
Other values (277)7869.6%
 
ValueCountFrequency (%) 
1161819.8%
 
1.2000000484545.5%
 
1.2999999521652.0%
 
1.3999999762993.6%
 
1.52933.6%
 
1.6000000242873.5%
 
1.7000000481291.6%
 
1.7999999522863.5%
 
28009.8%
 
2.2000000484695.7%
 
ValueCountFrequency (%) 
28231< 0.1%
 
24361< 0.1%
 
24261< 0.1%
 
23901< 0.1%
 
21701< 0.1%
 
21571< 0.1%
 
20351< 0.1%
 
19751< 0.1%
 
19631< 0.1%
 
18861< 0.1%
 

pflt
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count2987
Unique (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.79379894319572
Minimum0.0
Maximum899.7999877929688
Zeros3
Zeros (%)< 0.1%
Memory size64.1 KiB
2020-08-25T00:07:12.294175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.60000038
Q125
median63.79999924
Q3159.6000061
95-th percentile357.2499878
Maximum899.7999878
Range899.7999878
Interquartile range (IQR)134.6000061

Descriptive statistics

Standard deviation114.4192209
Coefficient of variation (CV)1.042128262
Kurtosis3.171525893
Mean109.7937989
Median Absolute Deviation (MAD)47.76999855
Skewness1.720284127
Sum899430.8009
Variance13091.7581
2020-08-25T00:07:12.401203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
15.600000385326.5%
 
15.800000191141.4%
 
15.399999621111.4%
 
16831.0%
 
15.56999969791.0%
 
15.63000011740.9%
 
16.20000076390.5%
 
15.19999981350.4%
 
15.77000046330.4%
 
20.79999924280.3%
 
16.39999962280.3%
 
33.20000076260.3%
 
16.60000038250.3%
 
13250.3%
 
33.79999924240.3%
 
20.20000076220.3%
 
31.39999962190.2%
 
20.39999962190.2%
 
17.20000076190.2%
 
33190.2%
 
18180.2%
 
35.40000153170.2%
 
15.36999989170.2%
 
34.40000153170.2%
 
17.39999962170.2%
 
Other values (2962)675282.4%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.80000001194< 0.1%
 
1.3999999761< 0.1%
 
1.6000000241< 0.1%
 
2.4000000951< 0.1%
 
42< 0.1%
 
4.1999998091< 0.1%
 
4.4000000951< 0.1%
 
6.1999998091< 0.1%
 
6.4000000951< 0.1%
 
ValueCountFrequency (%) 
899.79998781< 0.1%
 
801.39001461< 0.1%
 
751.40002441< 0.1%
 
745.2899781< 0.1%
 
737.40002441< 0.1%
 
674.20001221< 0.1%
 
673.54998781< 0.1%
 
661.20001221< 0.1%
 
654.59997561< 0.1%
 
653.20001221< 0.1%
 

atch
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count253
Unique (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1275048840470845
Minimum0.0
Maximum211.5800018310547
Zeros4575
Zeros (%)55.8%
Memory size64.1 KiB
2020-08-25T00:07:12.507096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.6000000238
95-th percentile5
Maximum211.5800018
Range211.5800018
Interquartile range (IQR)0.6000000238

Descriptive statistics

Standard deviation5.708347358
Coefficient of variation (CV)5.062813863
Kurtosis618.0754033
Mean1.127504884
Median Absolute Deviation (MAD)0
Skewness21.54201966
Sum9236.52001
Variance32.58522956
2020-08-25T00:07:12.609812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0457555.8%
 
0.2000000038049.8%
 
0.4000000065046.2%
 
0.60000002383073.7%
 
0.80000001192873.5%
 
12022.5%
 
1.2000000481712.1%
 
1.3999999761251.5%
 
1.6000000241241.5%
 
1.799999952901.1%
 
2680.8%
 
2.200000048590.7%
 
2.400000095470.6%
 
3.599999905280.3%
 
3.200000048280.3%
 
2.799999952260.3%
 
2.599999905240.3%
 
4.400000095220.3%
 
3220.3%
 
4200.2%
 
3.190000057150.2%
 
3.799999952140.2%
 
3.400000095140.2%
 
5.199999809140.2%
 
2.99000001140.2%
 
Other values (228)5887.2%
 
ValueCountFrequency (%) 
0457555.8%
 
0.2000000038049.8%
 
0.4000000065046.2%
 
0.60000002383073.7%
 
0.79000002152< 0.1%
 
0.80000001192873.5%
 
0.99000000951< 0.1%
 
12022.5%
 
1.1499999761< 0.1%
 
1.1900000572< 0.1%
 
ValueCountFrequency (%) 
211.58000181< 0.1%
 
202.19999691< 0.1%
 
152.80000311< 0.1%
 
142.39999391< 0.1%
 
123.94999691< 0.1%
 
1221< 0.1%
 
107.58000181< 0.1%
 
99.599998471< 0.1%
 
98.610000611< 0.1%
 
76.800003051< 0.1%
 

scall
Real number (ℝ≥0)

Distinct count4115
Unique (%)50.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2306.3182373046875
Minimum109.0
Maximum12493.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:12.724741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile227
Q11012
median2051.5
Q33317.25
95-th percentile5365.9
Maximum12493
Range12384
Interquartile range (IQR)2305.25

Descriptive statistics

Standard deviation1633.617322
Coefficient of variation (CV)0.7083225963
Kurtosis0.9031412645
Mean2306.318237
Median Absolute Deviation (MAD)1135
Skewness0.9025312213
Sum18893359
Variance2668705.554
2020-08-25T00:07:12.834718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
220100.1%
 
158100.1%
 
26190.1%
 
23090.1%
 
19590.1%
 
41990.1%
 
20190.1%
 
31090.1%
 
16090.1%
 
16690.1%
 
21780.1%
 
26480.1%
 
20580.1%
 
19880.1%
 
18680.1%
 
46780.1%
 
21080.1%
 
18980.1%
 
15980.1%
 
20080.1%
 
32270.1%
 
191770.1%
 
16170.1%
 
24670.1%
 
21470.1%
 
Other values (4090)798597.5%
 
ValueCountFrequency (%) 
1091< 0.1%
 
1251< 0.1%
 
1282< 0.1%
 
1311< 0.1%
 
1322< 0.1%
 
1333< 0.1%
 
1341< 0.1%
 
1351< 0.1%
 
1361< 0.1%
 
1371< 0.1%
 
ValueCountFrequency (%) 
124931< 0.1%
 
122771< 0.1%
 
117101< 0.1%
 
103311< 0.1%
 
99341< 0.1%
 
93881< 0.1%
 
93041< 0.1%
 
91721< 0.1%
 
89651< 0.1%
 
88701< 0.1%
 

pgout
Real number (ℝ≥0)

ZEROS

Distinct count404
Unique (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.285317384674272
Minimum0.0
Maximum81.44000244140625
Zeros4878
Zeros (%)59.5%
Memory size64.1 KiB
2020-08-25T00:07:12.943481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.400000095
95-th percentile11.42000008
Maximum81.44000244
Range81.44000244
Interquartile range (IQR)2.400000095

Descriptive statistics

Standard deviation5.307037742
Coefficient of variation (CV)2.322232254
Kurtosis40.87929541
Mean2.285317385
Median Absolute Deviation (MAD)0
Skewness5.066984133
Sum18721.32002
Variance28.16464959
2020-08-25T00:07:13.060704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0487859.5%
 
0.2000000031401.7%
 
0.4000000061401.7%
 
0.60000002381351.6%
 
0.80000001191261.5%
 
11111.4%
 
1.6000000241031.3%
 
1.3999999761001.2%
 
1.200000048991.2%
 
1.799999952961.2%
 
2.400000095821.0%
 
2781.0%
 
2.200000048690.8%
 
2.599999905640.8%
 
2.799999952500.6%
 
3.200000048490.6%
 
4480.6%
 
3.799999952450.5%
 
3440.5%
 
3.599999905420.5%
 
4.800000191390.5%
 
3.400000095380.5%
 
5.199999809360.4%
 
4.199999809350.4%
 
4.400000095330.4%
 
Other values (379)151218.5%
 
ValueCountFrequency (%) 
0487859.5%
 
0.2000000031401.7%
 
0.4000000061401.7%
 
0.58999997381< 0.1%
 
0.60000002381351.6%
 
0.79000002151< 0.1%
 
0.80000001191261.5%
 
0.99000000952< 0.1%
 
11111.4%
 
1.200000048991.2%
 
ValueCountFrequency (%) 
81.440002441< 0.1%
 
77.639999391< 0.1%
 
72.260002141< 0.1%
 
68.599998471< 0.1%
 
65.199996951< 0.1%
 
63.799999241< 0.1%
 
60.799999241< 0.1%
 
58.400001531< 0.1%
 
57.880001071< 0.1%
 
541< 0.1%
 

freeswap
Real number (ℝ≥0)

Distinct count7658
Unique (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1328125.9598388672
Minimum2.0
Maximum2243187.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:13.186494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile969854.85
Q11042623.5
median1289289.5
Q31730379.5
95-th percentile1865881.3
Maximum2243187
Range2243185
Interquartile range (IQR)687756

Descriptive statistics

Standard deviation422019.427
Coefficient of variation (CV)0.3177555742
Kurtosis1.166533636
Mean1328125.96
Median Absolute Deviation (MAD)282671
Skewness-0.7916644439
Sum1.088000786e+10
Variance1.781003967e+11
2020-08-25T00:07:13.298482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11250.3%
 
10230.3%
 
9220.3%
 
7190.2%
 
12190.2%
 
13180.2%
 
5180.2%
 
8160.2%
 
6160.2%
 
16140.2%
 
15130.2%
 
18100.1%
 
19100.1%
 
1490.1%
 
187532870.1%
 
187161670.1%
 
2160.1%
 
2360.1%
 
187511260.1%
 
177688860.1%
 
460.1%
 
182840850.1%
 
1750.1%
 
175992050.1%
 
18655844< 0.1%
 
Other values (7633)789796.4%
 
ValueCountFrequency (%) 
21< 0.1%
 
32< 0.1%
 
460.1%
 
5180.2%
 
6160.2%
 
7190.2%
 
8160.2%
 
9220.3%
 
10230.3%
 
11250.3%
 
ValueCountFrequency (%) 
22431871< 0.1%
 
21617791< 0.1%
 
20422801< 0.1%
 
19672751< 0.1%
 
18925711< 0.1%
 
18924711< 0.1%
 
18910691< 0.1%
 
18906761< 0.1%
 
18890141< 0.1%
 
18887341< 0.1%
 

swrite
Real number (ℝ≥0)

Distinct count640
Unique (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.0582275390625
Minimum7.0
Maximum5456.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:13.412521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile21
Q163
median117
Q3185
95-th percentile392.45
Maximum5456
Range5449
Interquartile range (IQR)122

Descriptive statistics

Standard deviation160.47898
Coefficient of variation (CV)1.069444726
Kurtosis234.1277983
Mean150.0582275
Median Absolute Deviation (MAD)59
Skewness9.605843698
Sum1229277
Variance25753.50302
2020-08-25T00:07:13.516457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
30560.7%
 
91560.7%
 
24530.6%
 
118510.6%
 
15500.6%
 
45500.6%
 
22500.6%
 
68490.6%
 
67490.6%
 
62490.6%
 
116490.6%
 
99480.6%
 
134480.6%
 
44480.6%
 
81480.6%
 
37470.6%
 
77460.6%
 
56460.6%
 
92460.6%
 
90450.5%
 
20450.5%
 
72450.5%
 
75440.5%
 
103440.5%
 
29440.5%
 
Other values (615)698685.3%
 
ValueCountFrequency (%) 
72< 0.1%
 
82< 0.1%
 
9170.2%
 
10190.2%
 
11100.1%
 
12150.2%
 
13380.5%
 
14380.5%
 
15500.6%
 
16350.4%
 
ValueCountFrequency (%) 
54561< 0.1%
 
45901< 0.1%
 
24851< 0.1%
 
18881< 0.1%
 
16451< 0.1%
 
15631< 0.1%
 
15451< 0.1%
 
15441< 0.1%
 
15321< 0.1%
 
14991< 0.1%
 

pgscan
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count1202
Unique (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.52684935801517
Minimum0.0
Maximum1237.0
Zeros6448
Zeros (%)78.7%
Memory size64.1 KiB
2020-08-25T00:07:13.630979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile135.8385056
Maximum1237
Range1237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.14134013
Coefficient of variation (CV)3.304772517
Kurtosis47.77157218
Mean21.52684936
Median Absolute Deviation (MAD)0
Skewness5.81341511
Sum176347.9499
Variance5061.090275
2020-08-25T00:07:13.739038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0644878.7%
 
0.600000023890.1%
 
1.20000004870.1%
 
2.40000009570.1%
 
2770.1%
 
9.60000038160.1%
 
47.4000015360.1%
 
0.800000011960.1%
 
25.2000007660.1%
 
2.20000004860.1%
 
260.1%
 
27.3999996260.1%
 
1.79999995250.1%
 
1150.1%
 
10.6000003850.1%
 
4.40000009550.1%
 
4.19999980950.1%
 
850.1%
 
23.2000007650.1%
 
3.40000009550.1%
 
5.8000001914< 0.1%
 
15.399999624< 0.1%
 
12.399999624< 0.1%
 
13.399999624< 0.1%
 
21.399999624< 0.1%
 
Other values (1177)161219.7%
 
ValueCountFrequency (%) 
0644878.7%
 
0.2000000034< 0.1%
 
0.4000000064< 0.1%
 
0.600000023890.1%
 
0.800000011960.1%
 
0.99000000951< 0.1%
 
11< 0.1%
 
1.20000004870.1%
 
1.3999999762< 0.1%
 
1.6000000242< 0.1%
 
ValueCountFrequency (%) 
12371< 0.1%
 
1051.1999511< 0.1%
 
941.76000981< 0.1%
 
826.2899781< 0.1%
 
782.77001951< 0.1%
 
772.40002441< 0.1%
 
741.32000731< 0.1%
 
739.79998781< 0.1%
 
728.85998541< 0.1%
 
720.79998781< 0.1%
 

rchar
Real number (ℝ≥0)

Distinct count7997
Unique (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197013.66833496094
Minimum278.0
Maximum2526649.0
Zeros0
Zeros (%)0.0%
Memory size64.1 KiB
2020-08-25T00:07:13.877896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum278
5-th percentile3149.3
Q133864.25
median124779.5
Q3267669.25
95-th percentile649268.05
Maximum2526649
Range2526371
Interquartile range (IQR)233805

Descriptive statistics

Standard deviation239480.8308
Coefficient of variation (CV)1.215554397
Kurtosis13.04849526
Mean197013.6683
Median Absolute Deviation (MAD)103680.5
Skewness2.848257232
Sum1613935971
Variance5.735106831e+10
2020-08-25T00:07:13.986355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
45260.1%
 
699450.1%
 
700150.1%
 
4254< 0.1%
 
70184< 0.1%
 
70263< 0.1%
 
4233< 0.1%
 
4313< 0.1%
 
69983< 0.1%
 
4293< 0.1%
 
4443< 0.1%
 
52743< 0.1%
 
4393< 0.1%
 
4243< 0.1%
 
4263< 0.1%
 
4303< 0.1%
 
13553< 0.1%
 
4163< 0.1%
 
20853< 0.1%
 
70073< 0.1%
 
30272< 0.1%
 
1283052< 0.1%
 
39872< 0.1%
 
4462< 0.1%
 
894092< 0.1%
 
Other values (7972)811399.0%
 
ValueCountFrequency (%) 
2781< 0.1%
 
4163< 0.1%
 
4171< 0.1%
 
4191< 0.1%
 
4201< 0.1%
 
4211< 0.1%
 
4221< 0.1%
 
4233< 0.1%
 
4243< 0.1%
 
4254< 0.1%
 
ValueCountFrequency (%) 
25266491< 0.1%
 
24862031< 0.1%
 
24083251< 0.1%
 
22148831< 0.1%
 
22143651< 0.1%
 
22070091< 0.1%
 
22046361< 0.1%
 
21345291< 0.1%
 
21046701< 0.1%
 
20072791< 0.1%
 

ppgout
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count774
Unique (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.977228998903229
Minimum0.0
Maximum184.1999969482422
Zeros4878
Zeros (%)59.5%
Memory size64.1 KiB
2020-08-25T00:07:14.100253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.199999809
95-th percentile32.40450077
Maximum184.1999969
Range184.1999969
Interquartile range (IQR)4.199999809

Descriptive statistics

Standard deviation15.21458995
Coefficient of variation (CV)2.545425306
Kurtosis29.97470447
Mean5.977228999
Median Absolute Deviation (MAD)0
Skewness4.680441663
Sum48965.45996
Variance231.4837475
2020-08-25T00:07:14.205296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0487859.5%
 
0.4000000061161.4%
 
0.60000002381061.3%
 
0.200000003991.2%
 
0.8000000119951.2%
 
1.200000048951.2%
 
1801.0%
 
1.600000024720.9%
 
1.799999952660.8%
 
1.399999976660.8%
 
2450.5%
 
2.200000048430.5%
 
4.199999809430.5%
 
2.400000095370.5%
 
4340.4%
 
3.200000048320.4%
 
3.400000095280.3%
 
3.599999905280.3%
 
2.599999905280.3%
 
2.799999952270.3%
 
5.400000095250.3%
 
4.800000191250.3%
 
3240.3%
 
4.599999905240.3%
 
6.800000191210.3%
 
Other values (749)205525.1%
 
ValueCountFrequency (%) 
0487859.5%
 
0.200000003991.2%
 
0.4000000061161.4%
 
0.58999997381< 0.1%
 
0.60000002381061.3%
 
0.8000000119951.2%
 
0.99000000951< 0.1%
 
1801.0%
 
1.1900000571< 0.1%
 
1.200000048951.2%
 
ValueCountFrequency (%) 
184.19999691< 0.1%
 
183.80000311< 0.1%
 
168.05999761< 0.1%
 
167.66000371< 0.1%
 
163.27000431< 0.1%
 
156.28999331< 0.1%
 
154.80000311< 0.1%
 
152.60000611< 0.1%
 
1501< 0.1%
 
142.39999391< 0.1%
 

pgin
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count832
Unique (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.277960201454334
Minimum0.0
Maximum141.1999969482422
Zeros1220
Zeros (%)14.9%
Memory size64.1 KiB
2020-08-25T00:07:14.325250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6000000238
median2.799999952
Q39.765000105
95-th percentile35.8314991
Maximum141.1999969
Range141.1999969
Interquartile range (IQR)9.165000081

Descriptive statistics

Standard deviation13.87497836
Coefficient of variation (CV)1.676134944
Kurtosis13.75999323
Mean8.277960201
Median Absolute Deviation (MAD)2.799999952
Skewness3.242412459
Sum67813.04997
Variance192.5150245
2020-08-25T00:07:14.438717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0122014.9%
 
0.2000000034575.6%
 
0.4000000063173.9%
 
0.60000002382883.5%
 
0.80000001192483.0%
 
12332.8%
 
1.2000000481962.4%
 
1.3999999761832.2%
 
1.6000000241732.1%
 
1.7999999521541.9%
 
2.4000000951531.9%
 
2.2000000481471.8%
 
21441.8%
 
2.799999952821.0%
 
2.599999905811.0%
 
3730.9%
 
3.200000048710.9%
 
3.400000095660.8%
 
4.199999809600.7%
 
3.799999952560.7%
 
3.599999905550.7%
 
4540.7%
 
4.400000095500.6%
 
4.599999905490.6%
 
5480.6%
 
Other values (807)353443.1%
 
ValueCountFrequency (%) 
0122014.9%
 
0.18999999761< 0.1%
 
0.2000000034575.6%
 
0.4000000063173.9%
 
0.60000002382883.5%
 
0.80000001192483.0%
 
0.99000000952< 0.1%
 
12332.8%
 
1.1900000571< 0.1%
 
1.2000000481962.4%
 
ValueCountFrequency (%) 
141.19999691< 0.1%
 
126.44999691< 0.1%
 
126.34999851< 0.1%
 
115.56999971< 0.1%
 
115.37000271< 0.1%
 
114.59999851< 0.1%
 
114.16999821< 0.1%
 
113.43000031< 0.1%
 
112.19999691< 0.1%
 
111.59999851< 0.1%
 

target
Real number (ℝ≥0)

ZEROS

Distinct count56
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.9688720703125
Minimum0.0
Maximum99.0
Zeros283
Zeros (%)3.5%
Memory size64.1 KiB
2020-08-25T00:07:14.709166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q181
median89
Q394
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation18.40190451
Coefficient of variation (CV)0.2191515028
Kurtosis12.72518587
Mean83.96887207
Median Absolute Deviation (MAD)6
Skewness-3.416749603
Sum687873
Variance338.6300894
2020-08-25T00:07:14.816215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
904595.6%
 
914485.5%
 
924265.2%
 
944215.1%
 
934115.0%
 
974105.0%
 
964105.0%
 
954054.9%
 
883844.7%
 
983784.6%
 
893764.6%
 
873384.1%
 
862833.5%
 
02833.5%
 
852543.1%
 
842523.1%
 
832302.8%
 
812012.5%
 
821872.3%
 
801662.0%
 
791501.8%
 
771441.8%
 
781261.5%
 
761191.5%
 
751041.3%
 
Other values (31)82710.1%
 
ValueCountFrequency (%) 
02833.5%
 
1100.1%
 
21< 0.1%
 
461< 0.1%
 
481< 0.1%
 
491< 0.1%
 
504< 0.1%
 
514< 0.1%
 
522< 0.1%
 
5350.1%
 
ValueCountFrequency (%) 
99600.7%
 
983784.6%
 
974105.0%
 
964105.0%
 
954054.9%
 
944215.1%
 
934115.0%
 
924265.2%
 
914485.5%
 
904595.6%
 

Interactions

2020-08-25T00:06:08.838432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:08.990326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.143980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.293356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.441108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.595790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.754468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:09.898973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.041471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.184749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.325737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.465982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.614051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.772882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:10.916500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.060288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.209403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.360378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.668028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.821790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:11.964254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.114386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.266135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.413691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.564572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.723885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:12.880789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.023991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.166490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.313745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.460504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.607123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.770129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:13.928618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.073433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.220880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.373160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.527807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.681405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.836260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:14.980332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:15.127363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:15.275516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:06:15.711014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.025104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.164348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.306554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.446749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.583042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.719779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:16.864567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.021064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.161564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.304662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.449722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.591592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.739362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:17.889018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.034625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.182045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.328852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.474098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.622776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.774662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:18.927591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.067997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.205757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.350112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.486681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.621327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.766984image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:19.920275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.059598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.367098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.513289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.657560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.805393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:20.958009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.098106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.253940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.412008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.563637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.723084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:21.884569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.044837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.192567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.342777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.493878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.637604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.782139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:22.938663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.096298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.241856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.394030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.546999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.699875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:23.859123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.027980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.177219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.343349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.508978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.822016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:24.979247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.139372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.300418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.452941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.604204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.755431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:25.902277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.053219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.212653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.374059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.525782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.681756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.837380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:26.994187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.151981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.309615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.463258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.608650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.750464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:27.890966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.035535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.181533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.329858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.468075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.605628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.743602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:28.874375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:06:29.319663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:29.465468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:29.600088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:29.734136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:29.870118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.011809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.159639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.299698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.434721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.583102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.723787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:30.862964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:06:31.150551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.297361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.432503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.571337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.714616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.857736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:31.990443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.133195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.278291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.414520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.556110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.697328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.837490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:32.981259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:06:33.129519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:07:04.135453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:04.277104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:04.420330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:04.565287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:04.709189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:04.848557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.008562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.167485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.311761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.456977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.607883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.755840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:05.912813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.061772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.207008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.348693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.488977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.628712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.764393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:06.908186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.052871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.190161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.324027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.460770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.594465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:07.887241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.032331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.179607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.316558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.451950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.591604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.731541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:08.869820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:09.014352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:07:14.965137image/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.
2020-08-25T00:07:15.279188image/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.
2020-08-25T00:07:15.591760image/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.
2020-08-25T00:07:15.909901image/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

2020-08-25T00:07:09.312588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:09.801872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

lreadvfltppginlwritewcharforkpgfreesreadrunqszpfltatchscallpgoutfreeswapswritepgscanrcharppgoutpgintarget
06.089.0000004.0000002.0355965.01.000.000000103.02.073.5999980.001036.00.001851864.0114.00.000000172076.00.0000002.00000090.0
11.0161.80000388.1999970.044139.00.4075.800003205.03.019.4000000.202165.04.801131931.0101.0181.39999443107.042.20000185.40000288.0
262.0218.80000312.20000077.0268706.01.4044.000000258.05.268.0000002.203806.04.801314590.0166.079.199997492142.019.4000007.60000085.0
35.0248.91000424.8500000.0174964.00.9988.470001256.01.095.6299971.994721.014.51972606.0177.0189.860001524787.051.4900024.17000081.0
442.0297.2000122.20000055.0529200.02.606.600000249.03.4219.6000061.403949.04.201013805.0244.00.000000197289.06.8000001.80000079.0
55.042.0800024.0100001.0107031.00.400.000000132.02.223.6500000.001692.00.001010703.087.00.000000220194.00.0000003.81000092.0
63.0226.3999942.2000000.040740.03.008.80000065.01.0227.6000060.00635.08.601806587.047.00.00000087465.08.8000001.60000082.0
77.052.79999915.0000005.0672290.00.400.000000240.04.842.7999990.001341.00.001037078.0120.00.000000718437.00.0000007.60000090.0
8159.0154.60000634.00000040.0209450.01.000.000000299.02.880.4000020.202443.00.001069565.0262.00.000000240375.00.00000018.20000187.0
91.093.5999989.2000000.0128680.01.000.000000271.01.032.7999990.003322.00.001120168.0170.00.000000399277.00.0000006.40000086.0

Last rows

lreadvfltppginlwritewcharforkpgfreesreadrunqszpfltatchscallpgoutfreeswapswritepgscanrcharppgoutpgintarget
81823.0358.07998723.1500000.055884.03.190.000000278.04.2163.0700070.403580.00.0000001388792.0230.00.000000292840.00.00000018.76000084.0
81830.016.7999990.0000000.04636.00.200.00000013.01.015.6000000.00160.00.0000001866406.018.00.0000002085.00.0000000.00000098.0
81842.061.79999917.7999991.049019.00.400.000000102.01.519.2000010.20637.00.0000001092827.095.00.00000037606.00.00000017.79999996.0
818510.087.80000310.4000001.059736.00.600.000000157.01.352.4000020.001564.00.0000001067194.0137.00.000000184137.00.0000006.20000093.0
818615.0297.79998815.83000011.0102035.03.6150.099998277.02.0187.77999910.222599.017.0300011731732.0234.046.290001133465.031.45999910.02000085.0
818774.0649.4000240.80000049.038484.011.001.000000176.07.0343.2000120.002688.00.8000001096333.0103.00.00000057714.01.0000000.80000069.0
818829.078.5999980.80000040.027313.00.800.000000118.03.656.2000010.001906.00.0000001107088.090.00.0000008175.00.0000000.80000088.0
81893.0154.0000000.4000000.019322.00.600.00000090.01.053.4000020.40926.00.0000001020400.067.00.0000005411.00.0000000.40000092.0
81904.073.1999970.2000000.010679.00.800.00000030.02.461.0000000.00418.00.0000001702592.029.00.0000003959.00.0000000.20000096.0
81915.0420.20001214.8000000.039346.06.200.000000248.04.6296.6000060.001888.00.0000001757696.0215.00.000000216420.00.0000007.40000080.0