Visually detecting redundant features
Data visualization is a crucial step in any data exploration. Let's use Seaborn to explore some samples of the US Army ANSUR body measurement dataset.
Two data samples have been pre-loaded as ansur_df_1
and ansur_df_2
.
Seaborn has been imported as sns
.
Este ejercicio forma parte del curso
Dimensionality Reduction in Python
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Create a pairplot and color the points using the 'Gender' feature
sns.____(____, ____=_____, diag_kind='hist')
# Show the plot
plt.show()