Anscombe - Analyze

df.info()

df.nunique()

dataset     4
x          12
y          43
dtype: int64

df.head()

  dataset     x     y
0       I  10.0  8.04
1       I   8.0  6.95
2       I  13.0  7.58
3       I   9.0  8.81
4       I  11.0  8.33

sns.scatterplot(data=df, x='x', y='y')

df['dataset'].unique()

['I' 'II' 'III' 'IV']

df['dataset'].value_counts()

dataset
I      11
II     11
III    11
IV     11
Name: count, dtype: int64

sns.scatterplot(data=df, x='x', y='y', hue='dataset')

sns.relplot(data=df, x='x', y='y', col='dataset')

df.groupby('dataset').describe

            x                           ...     y                          
        count mean       std  min  25%  ...   min    25%   50%   75%    max
dataset                                 ...                                
I        11.0  9.0  3.316625  4.0  6.5  ...  4.26  6.315  7.58  8.57  10.84
II       11.0  9.0  3.316625  4.0  6.5  ...  3.10  6.695  8.14  8.95   9.26
III      11.0  9.0  3.316625  4.0  6.5  ...  5.39  6.250  7.11  7.98  12.74
IV       11.0  9.0  3.316625  8.0  8.0  ...  5.25  6.170  7.04  8.19  12.50

[4 rows x 16 columns]

df.groupby('dataset').mean()

           x         y
dataset               
I        9.0  7.500909
II       9.0  7.500909
III      9.0  7.500000
IV       9.0  7.500909

df.groupby('dataset').var()

            x         y
dataset                
I        11.0  4.127269
II       11.0  4.127629
III      11.0  4.122620
IV       11.0  4.123249

df.groupby('dataset').std()

                x         y
dataset                    
I        3.316625  2.031568
II       3.316625  2.031657
III      3.316625  2.030424
IV       3.316625  2.030579