0
0.8999903238
2.895073786
1
1.1135538
2.962384883
2
1.156830061
2.966377528
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 10000 entries, 0 to 9999
Data columns (total 4 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Moderate Positive Skew 10000 non-null float64
1 Highly Positive Skew 10000 non-null float64
2 Moderate Negative Skew 10000 non-null float64
3 Highly Negative Skew 10000 non-null float64
dtypes: float64(4)
memory usage: 312.6 KB
0
0.8999903238
2.895073786
1
1.1135538
2.962384883
2
1.156830061
2.966377528
0
0.8999903238
2.895073786
1
1.1135538
2.962384883
2
1.156830061
2.966377528
0
-3.7649515812625647
-2.7456154688892176
1
-3.4894058699838686
-2.6381286353754665
2
-3.4362183461375007
-2.631854810602758
3
-3.3078164561199515
-2.5789633235465255
4
-3.2383065114725404
-2.5607869615769774
count
10000
10000
mean
9.549694368615746e-16
4.5474735088646414e-17
std
1.0000500037503124
1.0000500037503124
min
-3.7649515812625647
-2.7456154688892176
25%
-0.682663691945428
-0.7351637353765551
50%
-0.011129709065981711
0.009128949240715833
75%
0.6911628526669109
0.701639101962064
max
3.537717563100896
3.015598786292614
0
-3.7649515812625647
-2.7456154688892176
1
-3.4894058699838686
-2.6381286353754665
2
-3.4362183461375007
-2.631854810602758