EDA

Question 1

YData Profiling

Answer 1

!pip install ydata-profiling
from ydata_profiling import ProfileReport
#Generate the data profile report
profile = ProfileReport(train,title=’EDA’)
#show the report on the notebook
profile.to_notebook_iframe()

Question 2

AutoViz

Answer 2

Instantiate AutoViz_Class

!pip install autoviz

from autoviz.AutoViz_Class import AutoViz_Class

AV = AutoViz_Class()

df = AV.AutoViz(filename=’’,
dfte=train,
verbose=1)

Question 3

Sweetviz

Answer 3

Generate a comparison report

!pip install sweetviz

import sweetviz as sv

compare = sv.compare(source=[train,’Training’],
compare=[test,’Test’],
target_feat=”SalePrice”)

compare.show_notebook(w=None,
h=None,
scale=None,
layout=’widescreen’,
filepath=None)